From 8611ffe32d3d40d9bc6e76c883ead3084f31d14e Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Thu, 17 Aug 2023 19:59:31 -0700
Subject: [PATCH 001/265] =?UTF-8?q?feat(TAESD):=20support=20TAESD=20?=
 =?UTF-8?q?=E2=80=94=20Tiny=20Autoencoder=20for=20Stable=20Diffusion?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 invokeai/app/invocations/latent.py            | 80 ++++++++++++-------
 .../backend/model_management/model_probe.py   |  1 +
 2 files changed, 52 insertions(+), 29 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 40f7af8703..ee6ed63da8 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -1,11 +1,13 @@
 # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
 
 from contextlib import ExitStack
+from functools import singledispatchmethod
 from typing import List, Literal, Optional, Union
 
 import einops
 import torch
 import torchvision.transforms as T
+from diffusers import AutoencoderKL, AutoencoderTiny
 from diffusers.image_processor import VaeImageProcessor
 from diffusers.models.attention_processor import (
     AttnProcessor2_0,
@@ -15,7 +17,7 @@ from diffusers.models.attention_processor import (
 )
 from diffusers.schedulers import DPMSolverSDEScheduler
 from diffusers.schedulers import SchedulerMixin as Scheduler
-from pydantic import BaseModel, Field, validator
+from pydantic import validator
 from torchvision.transforms.functional import resize as tv_resize
 
 from invokeai.app.invocations.metadata import CoreMetadata
@@ -29,8 +31,21 @@ from invokeai.app.invocations.primitives import (
 from invokeai.app.util.controlnet_utils import prepare_control_image
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
-
-from ...backend.model_management import BaseModelType, ModelPatcher
+from .baseinvocation import (
+    BaseInvocation,
+    FieldDescriptions,
+    Input,
+    InputField,
+    InvocationContext,
+    UIType,
+    tags,
+    title,
+)
+from .compel import ConditioningField
+from .controlnet_image_processors import ControlField
+from .model import ModelInfo, UNetField, VaeField
+from ..models.image import ImageCategory, ResourceOrigin
+from ...backend.model_management import BaseModelType
 from ...backend.model_management.lora import ModelPatcher
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
@@ -42,22 +57,7 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
 from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
 from ...backend.util.devices import choose_precision, choose_torch_device
-from ..models.image import ImageCategory, ResourceOrigin
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    FieldDescriptions,
-    Input,
-    InputField,
-    InvocationContext,
-    OutputField,
-    UIType,
-    tags,
-    title,
-)
-from .compel import ConditioningField
-from .controlnet_image_processors import ControlField
-from .model import ModelInfo, UNetField, VaeField
+from ...backend.util.logging import InvokeAILogger
 
 DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
@@ -514,10 +514,17 @@ class LatentsToImageInvocation(BaseInvocation):
                 vae.to(dtype=torch.float16)
                 latents = latents.half()
 
-            if self.tiled or context.services.configuration.tiled_decode:
-                vae.enable_tiling()
-            else:
-                vae.disable_tiling()
+            try:
+                if self.tiled or context.services.configuration.tiled_decode:
+                    vae.enable_tiling()
+                else:
+                    vae.disable_tiling()
+            except AttributeError as err:
+                # FIXME: This is a TEMPORARY measure until AutoencoderTiny gets tiling support from https://github.com/huggingface/diffusers/pull/4627
+                if err.name.endswith("_tiling"):
+                    InvokeAILogger.getLogger(self.__class__.__name__).debug("ignoring tiling error for %s", vae.__class__, exc_info=err)
+                else:
+                    raise
 
             # clear memory as vae decode can request a lot
             torch.cuda.empty_cache()
@@ -704,16 +711,22 @@ class ImageToLatentsInvocation(BaseInvocation):
                 vae.to(dtype=torch.float16)
                 # latents = latents.half()
 
-            if self.tiled:
-                vae.enable_tiling()
-            else:
-                vae.disable_tiling()
+            try:
+                if self.tiled:
+                    vae.enable_tiling()
+                else:
+                    vae.disable_tiling()
+            except AttributeError as err:
+                # FIXME: This is a TEMPORARY measure until AutoencoderTiny gets tiling support from https://github.com/huggingface/diffusers/pull/4627
+                if err.name.endswith("_tiling"):
+                    InvokeAILogger.getLogger(self.__class__.__name__).debug("ignoring tiling error for %s", vae.__class__, exc_info=err)
+                else:
+                    raise
 
             # non_noised_latents_from_image
             image_tensor = image_tensor.to(device=vae.device, dtype=vae.dtype)
             with torch.inference_mode():
-                image_tensor_dist = vae.encode(image_tensor).latent_dist
-                latents = image_tensor_dist.sample().to(dtype=vae.dtype)  # FIXME: uses torch.randn. make reproducible!
+                latents = self._encode_to_tensor(vae, image_tensor)
 
             latents = vae.config.scaling_factor * latents
             latents = latents.to(dtype=orig_dtype)
@@ -722,3 +735,12 @@ class ImageToLatentsInvocation(BaseInvocation):
         latents = latents.to("cpu")
         context.services.latents.save(name, latents)
         return build_latents_output(latents_name=name, latents=latents, seed=None)
+
+    def _encode_to_tensor(self, vae: AutoencoderKL, image_tensor: torch.FloatTensor) -> torch.FloatTensor:
+        image_tensor_dist = vae.encode(image_tensor).latent_dist
+        latents = image_tensor_dist.sample().to(dtype=vae.dtype)  # FIXME: uses torch.randn. make reproducible!
+        return latents
+
+    @singledispatchmethod
+    def _encode_to_tensor(self, vae: AutoencoderTiny, image_tensor: torch.FloatTensor) -> torch.FloatTensor:
+        return vae.encode(image_tensor).latents
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 3045849065..f157fb177a 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -51,6 +51,7 @@ class ModelProbe(object):
         "StableDiffusionXLPipeline": ModelType.Main,
         "StableDiffusionXLImg2ImgPipeline": ModelType.Main,
         "AutoencoderKL": ModelType.Vae,
+        "AutoencoderTiny": ModelType.Vae,
         "ControlNetModel": ModelType.ControlNet,
     }
 

From 26a7b7b66d9d959aec74f9066fa733802b719cef Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Thu, 17 Aug 2023 20:01:21 -0700
Subject: [PATCH 002/265] feat(model_probe): provide more clues when we fail to
 load a model.

---
 .../backend/model_management/model_probe.py   | 20 ++++++++++++-------
 1 file changed, 13 insertions(+), 7 deletions(-)

diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index f157fb177a..6fe0eb1714 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -1,12 +1,11 @@
 import json
-import torch
-import safetensors.torch
-
 from dataclasses import dataclass
-
-from diffusers import ModelMixin, ConfigMixin
 from pathlib import Path
 from typing import Callable, Literal, Union, Dict, Optional
+
+import safetensors.torch
+import torch
+from diffusers import ModelMixin, ConfigMixin
 from picklescan.scanner import scan_file_path
 
 from .models import (
@@ -17,8 +16,8 @@ from .models import (
     SilenceWarnings,
     InvalidModelException,
 )
-from .util import lora_token_vector_length
 from .models.base import read_checkpoint_meta
+from .util import lora_token_vector_length
 
 
 @dataclass
@@ -171,6 +170,7 @@ class ModelProbe(object):
         Get the model type of a hugging-face style folder.
         """
         class_name = None
+        error_hint = None
         if model:
             class_name = model.__class__.__name__
         else:
@@ -190,12 +190,18 @@ class ModelProbe(object):
                 with open(config_path, "r") as file:
                     conf = json.load(file)
                 class_name = conf["_class_name"]
+            else:
+                error_hint = f"No model_index.json or config.json found in {folder_path}."
 
         if class_name and (type := cls.CLASS2TYPE.get(class_name)):
             return type
+        else:
+            error_hint = f"class {class_name} is not one of the supported classes [{', '.join(cls.CLASS2TYPE.keys())}]"
 
         # give up
-        raise InvalidModelException(f"Unable to determine model type for {folder_path}")
+        raise InvalidModelException(
+            f"Unable to determine model type for {folder_path}" + (f"; {error_hint}" if error_hint else "")
+        )
 
     @classmethod
     def _scan_and_load_checkpoint(cls, model_path: Path) -> dict:

From 4f0e43ec1b8dc7d5c7cbbed4ff5c6b6fdaf7b4e3 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Fri, 18 Aug 2023 14:05:12 -0700
Subject: [PATCH 003/265] fix(TAESD): correct usage of singledispatchmethod so
 normal VAE still works

---
 invokeai/app/invocations/latent.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index ee6ed63da8..2098581d53 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -736,11 +736,12 @@ class ImageToLatentsInvocation(BaseInvocation):
         context.services.latents.save(name, latents)
         return build_latents_output(latents_name=name, latents=latents, seed=None)
 
+    @singledispatchmethod
     def _encode_to_tensor(self, vae: AutoencoderKL, image_tensor: torch.FloatTensor) -> torch.FloatTensor:
         image_tensor_dist = vae.encode(image_tensor).latent_dist
         latents = image_tensor_dist.sample().to(dtype=vae.dtype)  # FIXME: uses torch.randn. make reproducible!
         return latents
 
-    @singledispatchmethod
-    def _encode_to_tensor(self, vae: AutoencoderTiny, image_tensor: torch.FloatTensor) -> torch.FloatTensor:
+    @_encode_to_tensor.register
+    def _(self, vae: AutoencoderTiny, image_tensor: torch.FloatTensor) -> torch.FloatTensor:
         return vae.encode(image_tensor).latents

From 811c82a6776fbda4e213fafe21510420972dc565 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Fri, 18 Aug 2023 14:06:14 -0700
Subject: [PATCH 004/265] lint: formatting

---
 invokeai/app/invocations/latent.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 2098581d53..1737276caa 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -522,7 +522,9 @@ class LatentsToImageInvocation(BaseInvocation):
             except AttributeError as err:
                 # FIXME: This is a TEMPORARY measure until AutoencoderTiny gets tiling support from https://github.com/huggingface/diffusers/pull/4627
                 if err.name.endswith("_tiling"):
-                    InvokeAILogger.getLogger(self.__class__.__name__).debug("ignoring tiling error for %s", vae.__class__, exc_info=err)
+                    InvokeAILogger.getLogger(self.__class__.__name__).debug(
+                        "ignoring tiling error for %s", vae.__class__, exc_info=err
+                    )
                 else:
                     raise
 
@@ -719,7 +721,9 @@ class ImageToLatentsInvocation(BaseInvocation):
             except AttributeError as err:
                 # FIXME: This is a TEMPORARY measure until AutoencoderTiny gets tiling support from https://github.com/huggingface/diffusers/pull/4627
                 if err.name.endswith("_tiling"):
-                    InvokeAILogger.getLogger(self.__class__.__name__).debug("ignoring tiling error for %s", vae.__class__, exc_info=err)
+                    InvokeAILogger.getLogger(self.__class__.__name__).debug(
+                        "ignoring tiling error for %s", vae.__class__, exc_info=err
+                    )
                 else:
                     raise
 

From 7afdefb0e55dfc71d15a92f420c0d7d44a51b883 Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Tue, 29 Aug 2023 00:51:55 -0700
Subject: [PATCH 005/265] Core ip_adapter files from
 https://github.com/tencent-ailab/IP-Adapter Copied into InvokeAI since
 IP-Adapter repo is not a package. Is there a better way to do this for
 non-packaged Python code while still keeping InvokeAI install easy?

---
 invokeai/backend/ip_adapter/__init__.py       |   1 +
 .../backend/ip_adapter/attention_processor.py | 390 ++++++++++++++++++
 invokeai/backend/ip_adapter/ip_adapter.py     | 243 +++++++++++
 invokeai/backend/ip_adapter/resampler.py      | 121 ++++++
 invokeai/backend/ip_adapter/utils.py          | 368 +++++++++++++++++
 5 files changed, 1123 insertions(+)
 create mode 100644 invokeai/backend/ip_adapter/__init__.py
 create mode 100644 invokeai/backend/ip_adapter/attention_processor.py
 create mode 100644 invokeai/backend/ip_adapter/ip_adapter.py
 create mode 100644 invokeai/backend/ip_adapter/resampler.py
 create mode 100644 invokeai/backend/ip_adapter/utils.py

diff --git a/invokeai/backend/ip_adapter/__init__.py b/invokeai/backend/ip_adapter/__init__.py
new file mode 100644
index 0000000000..852ee25813
--- /dev/null
+++ b/invokeai/backend/ip_adapter/__init__.py
@@ -0,0 +1 @@
+from .ip_adapter import IPAdapter, IPAdapterXL, IPAdapterPlus
diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
new file mode 100644
index 0000000000..4754be00e0
--- /dev/null
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -0,0 +1,390 @@
+# modified from https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+
+class AttnProcessor(nn.Module):
+    r"""
+    Default processor for performing attention-related computations.
+    """
+    def __init__(
+        self,
+        hidden_size=None,
+        cross_attention_dim=None,
+    ):
+        super().__init__()
+
+    def __call__(
+        self,
+        attn,
+        hidden_states,
+        encoder_hidden_states=None,
+        attention_mask=None,
+        temb=None,
+    ):
+        residual = hidden_states
+
+        if attn.spatial_norm is not None:
+            hidden_states = attn.spatial_norm(hidden_states, temb)
+
+        input_ndim = hidden_states.ndim
+
+        if input_ndim == 4:
+            batch_size, channel, height, width = hidden_states.shape
+            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
+
+        batch_size, sequence_length, _ = (
+            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
+        )
+        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
+
+        if attn.group_norm is not None:
+            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
+
+        query = attn.to_q(hidden_states)
+
+        if encoder_hidden_states is None:
+            encoder_hidden_states = hidden_states
+        elif attn.norm_cross:
+            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
+
+        key = attn.to_k(encoder_hidden_states)
+        value = attn.to_v(encoder_hidden_states)
+
+        query = attn.head_to_batch_dim(query)
+        key = attn.head_to_batch_dim(key)
+        value = attn.head_to_batch_dim(value)
+
+        attention_probs = attn.get_attention_scores(query, key, attention_mask)
+        hidden_states = torch.bmm(attention_probs, value)
+        hidden_states = attn.batch_to_head_dim(hidden_states)
+
+        # linear proj
+        hidden_states = attn.to_out[0](hidden_states)
+        # dropout
+        hidden_states = attn.to_out[1](hidden_states)
+
+        if input_ndim == 4:
+            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
+
+        if attn.residual_connection:
+            hidden_states = hidden_states + residual
+
+        hidden_states = hidden_states / attn.rescale_output_factor
+
+        return hidden_states
+    
+    
+class IPAttnProcessor(nn.Module):
+    r"""
+    Attention processor for IP-Adapater.
+    Args:
+        hidden_size (`int`):
+            The hidden size of the attention layer.
+        cross_attention_dim (`int`):
+            The number of channels in the `encoder_hidden_states`.
+        text_context_len (`int`, defaults to 77):
+            The context length of the text features.
+        scale (`float`, defaults to 1.0):
+            the weight scale of image prompt.
+    """
+
+    def __init__(self, hidden_size, cross_attention_dim=None, text_context_len=77, scale=1.0):
+        super().__init__()
+
+        self.hidden_size = hidden_size
+        self.cross_attention_dim = cross_attention_dim
+        self.text_context_len = text_context_len
+        self.scale = scale
+
+        self.to_k_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
+        self.to_v_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
+
+    def __call__(
+        self,
+        attn,
+        hidden_states,
+        encoder_hidden_states=None,
+        attention_mask=None,
+        temb=None,
+    ):
+        residual = hidden_states
+
+        if attn.spatial_norm is not None:
+            hidden_states = attn.spatial_norm(hidden_states, temb)
+
+        input_ndim = hidden_states.ndim
+
+        if input_ndim == 4:
+            batch_size, channel, height, width = hidden_states.shape
+            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
+
+        batch_size, sequence_length, _ = (
+            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
+        )
+        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
+
+        if attn.group_norm is not None:
+            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
+
+        query = attn.to_q(hidden_states)
+
+        if encoder_hidden_states is None:
+            encoder_hidden_states = hidden_states
+        elif attn.norm_cross:
+            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
+            
+        # split hidden states
+        encoder_hidden_states, ip_hidden_states = encoder_hidden_states[:, :self.text_context_len, :], encoder_hidden_states[:, self.text_context_len:, :]
+
+        key = attn.to_k(encoder_hidden_states)
+        value = attn.to_v(encoder_hidden_states)
+
+        query = attn.head_to_batch_dim(query)
+        key = attn.head_to_batch_dim(key)
+        value = attn.head_to_batch_dim(value)
+
+        attention_probs = attn.get_attention_scores(query, key, attention_mask)
+        hidden_states = torch.bmm(attention_probs, value)
+        hidden_states = attn.batch_to_head_dim(hidden_states)
+        
+        # for ip-adapter
+        ip_key = self.to_k_ip(ip_hidden_states)
+        ip_value = self.to_v_ip(ip_hidden_states)
+        
+        ip_key = attn.head_to_batch_dim(ip_key)
+        ip_value = attn.head_to_batch_dim(ip_value)
+        
+        ip_attention_probs = attn.get_attention_scores(query, ip_key, None)
+        ip_hidden_states = torch.bmm(ip_attention_probs, ip_value)
+        ip_hidden_states = attn.batch_to_head_dim(ip_hidden_states)
+        
+        hidden_states = hidden_states + self.scale * ip_hidden_states
+
+        # linear proj
+        hidden_states = attn.to_out[0](hidden_states)
+        # dropout
+        hidden_states = attn.to_out[1](hidden_states)
+
+        if input_ndim == 4:
+            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
+
+        if attn.residual_connection:
+            hidden_states = hidden_states + residual
+
+        hidden_states = hidden_states / attn.rescale_output_factor
+
+        return hidden_states
+    
+    
+class AttnProcessor2_0(torch.nn.Module):
+    r"""
+    Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0).
+    """
+    def __init__(
+        self,
+        hidden_size=None,
+        cross_attention_dim=None,
+    ):
+        super().__init__()
+        if not hasattr(F, "scaled_dot_product_attention"):
+            raise ImportError("AttnProcessor2_0 requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0.")
+
+    def __call__(
+        self,
+        attn,
+        hidden_states,
+        encoder_hidden_states=None,
+        attention_mask=None,
+        temb=None,
+    ):
+        residual = hidden_states
+
+        if attn.spatial_norm is not None:
+            hidden_states = attn.spatial_norm(hidden_states, temb)
+
+        input_ndim = hidden_states.ndim
+
+        if input_ndim == 4:
+            batch_size, channel, height, width = hidden_states.shape
+            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
+
+        batch_size, sequence_length, _ = (
+            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
+        )
+
+        if attention_mask is not None:
+            attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
+            # scaled_dot_product_attention expects attention_mask shape to be
+            # (batch, heads, source_length, target_length)
+            attention_mask = attention_mask.view(batch_size, attn.heads, -1, attention_mask.shape[-1])
+
+        if attn.group_norm is not None:
+            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
+
+        query = attn.to_q(hidden_states)
+
+        if encoder_hidden_states is None:
+            encoder_hidden_states = hidden_states
+        elif attn.norm_cross:
+            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
+
+        key = attn.to_k(encoder_hidden_states)
+        value = attn.to_v(encoder_hidden_states)
+
+        inner_dim = key.shape[-1]
+        head_dim = inner_dim // attn.heads
+
+        query = query.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+
+        key = key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+        value = value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+
+        # the output of sdp = (batch, num_heads, seq_len, head_dim)
+        # TODO: add support for attn.scale when we move to Torch 2.1
+        hidden_states = F.scaled_dot_product_attention(
+            query, key, value, attn_mask=attention_mask, dropout_p=0.0, is_causal=False
+        )
+
+        hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
+        hidden_states = hidden_states.to(query.dtype)
+
+        # linear proj
+        hidden_states = attn.to_out[0](hidden_states)
+        # dropout
+        hidden_states = attn.to_out[1](hidden_states)
+
+        if input_ndim == 4:
+            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
+
+        if attn.residual_connection:
+            hidden_states = hidden_states + residual
+
+        hidden_states = hidden_states / attn.rescale_output_factor
+
+        return hidden_states
+    
+    
+class IPAttnProcessor2_0(torch.nn.Module):
+    r"""
+    Attention processor for IP-Adapater for PyTorch 2.0.
+    Args:
+        hidden_size (`int`):
+            The hidden size of the attention layer.
+        cross_attention_dim (`int`):
+            The number of channels in the `encoder_hidden_states`.
+        text_context_len (`int`, defaults to 77):
+            The context length of the text features.
+        scale (`float`, defaults to 1.0):
+            the weight scale of image prompt.
+    """
+
+    def __init__(self, hidden_size, cross_attention_dim=None, text_context_len=77, scale=1.0):
+        super().__init__()
+
+        if not hasattr(F, "scaled_dot_product_attention"):
+            raise ImportError("AttnProcessor2_0 requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0.")
+
+        self.hidden_size = hidden_size
+        self.cross_attention_dim = cross_attention_dim
+        self.text_context_len = text_context_len
+        self.scale = scale
+
+        self.to_k_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
+        self.to_v_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
+
+    def __call__(
+        self,
+        attn,
+        hidden_states,
+        encoder_hidden_states=None,
+        attention_mask=None,
+        temb=None,
+    ):
+        residual = hidden_states
+
+        if attn.spatial_norm is not None:
+            hidden_states = attn.spatial_norm(hidden_states, temb)
+
+        input_ndim = hidden_states.ndim
+
+        if input_ndim == 4:
+            batch_size, channel, height, width = hidden_states.shape
+            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
+
+        batch_size, sequence_length, _ = (
+            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
+        )
+
+        if attention_mask is not None:
+            attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
+            # scaled_dot_product_attention expects attention_mask shape to be
+            # (batch, heads, source_length, target_length)
+            attention_mask = attention_mask.view(batch_size, attn.heads, -1, attention_mask.shape[-1])
+
+        if attn.group_norm is not None:
+            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
+
+        query = attn.to_q(hidden_states)
+
+        if encoder_hidden_states is None:
+            encoder_hidden_states = hidden_states
+        elif attn.norm_cross:
+            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
+
+        # split hidden states
+        encoder_hidden_states, ip_hidden_states = encoder_hidden_states[:, :self.text_context_len, :], encoder_hidden_states[:, self.text_context_len:, :]
+
+        key = attn.to_k(encoder_hidden_states)
+        value = attn.to_v(encoder_hidden_states)
+
+        inner_dim = key.shape[-1]
+        head_dim = inner_dim // attn.heads
+
+        query = query.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+
+        key = key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+        value = value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+
+        # the output of sdp = (batch, num_heads, seq_len, head_dim)
+        # TODO: add support for attn.scale when we move to Torch 2.1
+        hidden_states = F.scaled_dot_product_attention(
+            query, key, value, attn_mask=attention_mask, dropout_p=0.0, is_causal=False
+        )
+
+        hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
+        hidden_states = hidden_states.to(query.dtype)
+        
+        # for ip-adapter
+        ip_key = self.to_k_ip(ip_hidden_states)
+        ip_value = self.to_v_ip(ip_hidden_states)
+        
+        ip_key = ip_key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+        ip_value = ip_value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+
+        # the output of sdp = (batch, num_heads, seq_len, head_dim)
+        # TODO: add support for attn.scale when we move to Torch 2.1
+        ip_hidden_states = F.scaled_dot_product_attention(
+            query, ip_key, ip_value, attn_mask=None, dropout_p=0.0, is_causal=False
+        )
+        
+        ip_hidden_states = ip_hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
+        ip_hidden_states = ip_hidden_states.to(query.dtype)
+        
+        hidden_states = hidden_states + self.scale * ip_hidden_states
+
+        # linear proj
+        hidden_states = attn.to_out[0](hidden_states)
+        # dropout
+        hidden_states = attn.to_out[1](hidden_states)
+
+        if input_ndim == 4:
+            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
+
+        if attn.residual_connection:
+            hidden_states = hidden_states + residual
+
+        hidden_states = hidden_states / attn.rescale_output_factor
+
+        return hidden_states
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
new file mode 100644
index 0000000000..5d5d0af71b
--- /dev/null
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -0,0 +1,243 @@
+import os
+from typing import List
+
+import torch
+from diffusers import StableDiffusionPipeline
+from transformers import CLIPVisionModelWithProjection, CLIPImageProcessor
+from PIL import Image
+
+from .utils import is_torch2_available
+if is_torch2_available:
+    from .attention_processor import IPAttnProcessor2_0 as IPAttnProcessor, AttnProcessor2_0 as AttnProcessor
+else:
+    from .attention_processor import IPAttnProcessor, AttnProcessor
+from .resampler import Resampler
+
+
+class ImageProjModel(torch.nn.Module):
+    """Projection Model"""
+    def __init__(self, cross_attention_dim=1024, clip_embeddings_dim=1024, clip_extra_context_tokens=4):
+        super().__init__()
+        
+        self.cross_attention_dim = cross_attention_dim
+        self.clip_extra_context_tokens = clip_extra_context_tokens
+        self.proj = torch.nn.Linear(clip_embeddings_dim, self.clip_extra_context_tokens * cross_attention_dim)
+        self.norm = torch.nn.LayerNorm(cross_attention_dim)
+        
+    def forward(self, image_embeds):
+        embeds = image_embeds
+        clip_extra_context_tokens = self.proj(embeds).reshape(-1, self.clip_extra_context_tokens, self.cross_attention_dim)
+        clip_extra_context_tokens = self.norm(clip_extra_context_tokens)
+        return clip_extra_context_tokens
+
+
+class IPAdapter:
+    
+    def __init__(self, sd_pipe, image_encoder_path, ip_ckpt, device, num_tokens=4):
+        
+        self.device = device
+        self.image_encoder_path = image_encoder_path
+        self.ip_ckpt = ip_ckpt
+        self.num_tokens = num_tokens
+        
+        self.pipe = sd_pipe.to(self.device)
+        self.set_ip_adapter()
+        
+        # load image encoder
+        self.image_encoder = CLIPVisionModelWithProjection.from_pretrained(self.image_encoder_path).to(self.device, dtype=torch.float16)
+        self.clip_image_processor = CLIPImageProcessor()
+        # image proj model
+        self.image_proj_model = self.init_proj()
+        
+        self.load_ip_adapter()
+        
+    def init_proj(self):
+        image_proj_model = ImageProjModel(
+            cross_attention_dim=self.pipe.unet.config.cross_attention_dim,
+            clip_embeddings_dim=self.image_encoder.config.projection_dim,
+            clip_extra_context_tokens=self.num_tokens,
+        ).to(self.device, dtype=torch.float16)
+        return image_proj_model
+        
+    def set_ip_adapter(self):
+        unet = self.pipe.unet
+        attn_procs = {}
+        for name in unet.attn_processors.keys():
+            cross_attention_dim = None if name.endswith("attn1.processor") else unet.config.cross_attention_dim
+            if name.startswith("mid_block"):
+                hidden_size = unet.config.block_out_channels[-1]
+            elif name.startswith("up_blocks"):
+                block_id = int(name[len("up_blocks.")])
+                hidden_size = list(reversed(unet.config.block_out_channels))[block_id]
+            elif name.startswith("down_blocks"):
+                block_id = int(name[len("down_blocks.")])
+                hidden_size = unet.config.block_out_channels[block_id]
+            if cross_attention_dim is None:
+                attn_procs[name] = AttnProcessor()
+            else:
+                attn_procs[name] = IPAttnProcessor(hidden_size=hidden_size, cross_attention_dim=cross_attention_dim,
+                scale=1.0).to(self.device, dtype=torch.float16)
+        unet.set_attn_processor(attn_procs)
+        
+    def load_ip_adapter(self):
+        state_dict = torch.load(self.ip_ckpt, map_location="cpu")
+        self.image_proj_model.load_state_dict(state_dict["image_proj"])
+        ip_layers = torch.nn.ModuleList(self.pipe.unet.attn_processors.values())
+        ip_layers.load_state_dict(state_dict["ip_adapter"])
+        
+    @torch.inference_mode()
+    def get_image_embeds(self, pil_image):
+        if isinstance(pil_image, Image.Image):
+            pil_image = [pil_image]
+        clip_image = self.clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
+        clip_image_embeds = self.image_encoder(clip_image.to(self.device, dtype=torch.float16)).image_embeds
+        image_prompt_embeds = self.image_proj_model(clip_image_embeds)
+        uncond_image_prompt_embeds = self.image_proj_model(torch.zeros_like(clip_image_embeds))
+        return image_prompt_embeds, uncond_image_prompt_embeds
+    
+    def set_scale(self, scale):
+        for attn_processor in self.pipe.unet.attn_processors.values():
+            if isinstance(attn_processor, IPAttnProcessor):
+                attn_processor.scale = scale
+        
+    def generate(
+        self,
+        pil_image,
+        prompt=None,
+        negative_prompt=None,
+        scale=1.0,
+        num_samples=4,
+        seed=-1,
+        guidance_scale=7.5,
+        num_inference_steps=30,
+        **kwargs,
+    ):
+        self.set_scale(scale)
+        
+        if isinstance(pil_image, Image.Image):
+            num_prompts = 1
+        else:
+            num_prompts = len(pil_image)
+        
+        if prompt is None:
+            prompt = "best quality, high quality"
+        if negative_prompt is None:
+            negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
+            
+        if not isinstance(prompt, List):
+            prompt = [prompt] * num_prompts
+        if not isinstance(negative_prompt, List):
+            negative_prompt = [negative_prompt] * num_prompts
+        
+        image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
+        bs_embed, seq_len, _ = image_prompt_embeds.shape
+        image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
+        image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+        uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
+        uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+
+        with torch.inference_mode():
+            prompt_embeds = self.pipe._encode_prompt(
+                prompt, device=self.device, num_images_per_prompt=num_samples, do_classifier_free_guidance=True, negative_prompt=negative_prompt)
+            negative_prompt_embeds_, prompt_embeds_ = prompt_embeds.chunk(2)
+            prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
+            negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
+            
+        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        images = self.pipe(
+            prompt_embeds=prompt_embeds,
+            negative_prompt_embeds=negative_prompt_embeds,
+            guidance_scale=guidance_scale,
+            num_inference_steps=num_inference_steps,
+            generator=generator,
+            **kwargs,
+        ).images
+        
+        return images
+    
+    
+class IPAdapterXL(IPAdapter):
+    """SDXL"""
+    
+    def generate(
+        self,
+        pil_image,
+        prompt=None,
+        negative_prompt=None,
+        scale=1.0,
+        num_samples=4,
+        seed=-1,
+        num_inference_steps=30,
+        **kwargs,
+    ):
+        self.set_scale(scale)
+        
+        if isinstance(pil_image, Image.Image):
+            num_prompts = 1
+        else:
+            num_prompts = len(pil_image)
+        
+        if prompt is None:
+            prompt = "best quality, high quality"
+        if negative_prompt is None:
+            negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
+            
+        if not isinstance(prompt, List):
+            prompt = [prompt] * num_prompts
+        if not isinstance(negative_prompt, List):
+            negative_prompt = [negative_prompt] * num_prompts
+        
+        image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
+        bs_embed, seq_len, _ = image_prompt_embeds.shape
+        image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
+        image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+        uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
+        uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+
+        with torch.inference_mode():
+            prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds = self.pipe.encode_prompt(
+                prompt, num_images_per_prompt=num_samples, do_classifier_free_guidance=True, negative_prompt=negative_prompt)
+            prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
+            negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
+            
+        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        images = self.pipe(
+            prompt_embeds=prompt_embeds,
+            negative_prompt_embeds=negative_prompt_embeds,
+            pooled_prompt_embeds=pooled_prompt_embeds,
+            negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
+            num_inference_steps=num_inference_steps,
+            generator=generator,
+            **kwargs,
+        ).images
+        
+        return images
+    
+    
+class IPAdapterPlus(IPAdapter):
+    """IP-Adapter with fine-grained features"""
+
+    def init_proj(self):
+        image_proj_model = Resampler(
+            dim=self.pipe.unet.config.cross_attention_dim,
+            depth=4,
+            dim_head=64,
+            heads=12,
+            num_queries=self.num_tokens,
+            embedding_dim=self.image_encoder.config.hidden_size,
+            output_dim=self.pipe.unet.config.cross_attention_dim,
+            ff_mult=4
+        ).to(self.device, dtype=torch.float16)
+        return image_proj_model
+    
+    @torch.inference_mode()
+    def get_image_embeds(self, pil_image):
+        if isinstance(pil_image, Image.Image):
+            pil_image = [pil_image]
+        clip_image = self.clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
+        clip_image = clip_image.to(self.device, dtype=torch.float16)
+        clip_image_embeds = self.image_encoder(clip_image, output_hidden_states=True).hidden_states[-2]
+        image_prompt_embeds = self.image_proj_model(clip_image_embeds)
+        uncond_clip_image_embeds = self.image_encoder(torch.zeros_like(clip_image), output_hidden_states=True).hidden_states[-2]
+        uncond_image_prompt_embeds = self.image_proj_model(uncond_clip_image_embeds)
+        return image_prompt_embeds, uncond_image_prompt_embeds
\ No newline at end of file
diff --git a/invokeai/backend/ip_adapter/resampler.py b/invokeai/backend/ip_adapter/resampler.py
new file mode 100644
index 0000000000..4521c8c3e6
--- /dev/null
+++ b/invokeai/backend/ip_adapter/resampler.py
@@ -0,0 +1,121 @@
+# modified from https://github.com/mlfoundations/open_flamingo/blob/main/open_flamingo/src/helpers.py
+import math
+
+import torch
+import torch.nn as nn
+
+
+# FFN
+def FeedForward(dim, mult=4):
+    inner_dim = int(dim * mult)
+    return nn.Sequential(
+        nn.LayerNorm(dim),
+        nn.Linear(dim, inner_dim, bias=False),
+        nn.GELU(),
+        nn.Linear(inner_dim, dim, bias=False),
+    )
+    
+    
+def reshape_tensor(x, heads):
+    bs, length, width = x.shape
+    #(bs, length, width) --> (bs, length, n_heads, dim_per_head)
+    x = x.view(bs, length, heads, -1)
+    # (bs, length, n_heads, dim_per_head) --> (bs, n_heads, length, dim_per_head)
+    x = x.transpose(1, 2)
+    # (bs, n_heads, length, dim_per_head) --> (bs*n_heads, length, dim_per_head)
+    x = x.reshape(bs, heads, length, -1)
+    return x
+
+
+class PerceiverAttention(nn.Module):
+    def __init__(self, *, dim, dim_head=64, heads=8):
+        super().__init__()
+        self.scale = dim_head**-0.5
+        self.dim_head = dim_head
+        self.heads = heads
+        inner_dim = dim_head * heads
+
+        self.norm1 = nn.LayerNorm(dim)
+        self.norm2 = nn.LayerNorm(dim)
+
+        self.to_q = nn.Linear(dim, inner_dim, bias=False)
+        self.to_kv = nn.Linear(dim, inner_dim * 2, bias=False)
+        self.to_out = nn.Linear(inner_dim, dim, bias=False)
+
+
+    def forward(self, x, latents):
+        """
+        Args:
+            x (torch.Tensor): image features
+                shape (b, n1, D)
+            latent (torch.Tensor): latent features
+                shape (b, n2, D)
+        """
+        x = self.norm1(x)
+        latents = self.norm2(latents)
+        
+        b, l, _ = latents.shape
+
+        q = self.to_q(latents)
+        kv_input = torch.cat((x, latents), dim=-2)
+        k, v = self.to_kv(kv_input).chunk(2, dim=-1)
+        
+        q = reshape_tensor(q, self.heads)
+        k = reshape_tensor(k, self.heads)
+        v = reshape_tensor(v, self.heads)
+
+        # attention
+        scale = 1 / math.sqrt(math.sqrt(self.dim_head))
+        weight = (q * scale) @ (k * scale).transpose(-2, -1) # More stable with f16 than dividing afterwards
+        weight = torch.softmax(weight.float(), dim=-1).type(weight.dtype)
+        out = weight @ v
+        
+        out = out.permute(0, 2, 1, 3).reshape(b, l, -1)
+
+        return self.to_out(out)
+
+
+class Resampler(nn.Module):
+    def __init__(
+        self,
+        dim=1024,
+        depth=8,
+        dim_head=64,
+        heads=16,
+        num_queries=8,
+        embedding_dim=768,
+        output_dim=1024,
+        ff_mult=4,
+    ):
+        super().__init__()
+        
+        self.latents = nn.Parameter(torch.randn(1, num_queries, dim) / dim**0.5)
+        
+        self.proj_in = nn.Linear(embedding_dim, dim)
+
+        self.proj_out = nn.Linear(dim, output_dim)
+        self.norm_out = nn.LayerNorm(output_dim)
+        
+        self.layers = nn.ModuleList([])
+        for _ in range(depth):
+            self.layers.append(
+                nn.ModuleList(
+                    [
+                        PerceiverAttention(dim=dim, dim_head=dim_head, heads=heads),
+                        FeedForward(dim=dim, mult=ff_mult),
+                    ]
+                )
+            )
+
+    def forward(self, x):
+        
+        latents = self.latents.repeat(x.size(0), 1, 1)
+        
+        x = self.proj_in(x)
+        
+        for attn, ff in self.layers:
+            latents = attn(x, latents) + latents
+            latents = ff(latents) + latents
+            
+        latents = self.proj_out(latents)
+        return self.norm_out(latents)
\ No newline at end of file
diff --git a/invokeai/backend/ip_adapter/utils.py b/invokeai/backend/ip_adapter/utils.py
new file mode 100644
index 0000000000..10218092ed
--- /dev/null
+++ b/invokeai/backend/ip_adapter/utils.py
@@ -0,0 +1,368 @@
+import inspect
+import warnings
+from typing import Any, Callable, Dict, List, Optional, Tuple, Union
+
+import numpy as np
+import PIL.Image
+import torch
+import torch.nn.functional as F
+from diffusers.utils import is_compiled_module
+from diffusers.pipelines.controlnet.multicontrolnet import MultiControlNetModel
+from diffusers.models import ControlNetModel
+from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
+
+
+
+def is_torch2_available():
+    return hasattr(F, "scaled_dot_product_attention")
+
+
+@torch.no_grad()
+def generate(
+    self,
+    prompt: Union[str, List[str]] = None,
+    image: Union[
+        torch.FloatTensor,
+        PIL.Image.Image,
+        np.ndarray,
+        List[torch.FloatTensor],
+        List[PIL.Image.Image],
+        List[np.ndarray],
+    ] = None,
+    height: Optional[int] = None,
+    width: Optional[int] = None,
+    num_inference_steps: int = 50,
+    guidance_scale: float = 7.5,
+    negative_prompt: Optional[Union[str, List[str]]] = None,
+    num_images_per_prompt: Optional[int] = 1,
+    eta: float = 0.0,
+    generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
+    latents: Optional[torch.FloatTensor] = None,
+    prompt_embeds: Optional[torch.FloatTensor] = None,
+    negative_prompt_embeds: Optional[torch.FloatTensor] = None,
+    output_type: Optional[str] = "pil",
+    return_dict: bool = True,
+    callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
+    callback_steps: int = 1,
+    cross_attention_kwargs: Optional[Dict[str, Any]] = None,
+    controlnet_conditioning_scale: Union[float, List[float]] = 1.0,
+    guess_mode: bool = False,
+    control_guidance_start: Union[float, List[float]] = 0.0,
+    control_guidance_end: Union[float, List[float]] = 1.0,
+):
+    r"""
+    Function invoked when calling the pipeline for generation.
+
+    Args:
+        prompt (`str` or `List[str]`, *optional*):
+            The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`.
+            instead.
+        image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, `List[np.ndarray]`,:
+                `List[List[torch.FloatTensor]]`, `List[List[np.ndarray]]` or `List[List[PIL.Image.Image]]`):
+            The ControlNet input condition. ControlNet uses this input condition to generate guidance to Unet. If
+            the type is specified as `Torch.FloatTensor`, it is passed to ControlNet as is. `PIL.Image.Image` can
+            also be accepted as an image. The dimensions of the output image defaults to `image`'s dimensions. If
+            height and/or width are passed, `image` is resized according to them. If multiple ControlNets are
+            specified in init, images must be passed as a list such that each element of the list can be correctly
+            batched for input to a single controlnet.
+        height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
+            The height in pixels of the generated image.
+        width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
+            The width in pixels of the generated image.
+        num_inference_steps (`int`, *optional*, defaults to 50):
+            The number of denoising steps. More denoising steps usually lead to a higher quality image at the
+            expense of slower inference.
+        guidance_scale (`float`, *optional*, defaults to 7.5):
+            Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
+            `guidance_scale` is defined as `w` of equation 2. of [Imagen
+            Paper](https://arxiv.org/pdf/2205.11487.pdf). Guidance scale is enabled by setting `guidance_scale >
+            1`. Higher guidance scale encourages to generate images that are closely linked to the text `prompt`,
+            usually at the expense of lower image quality.
+        negative_prompt (`str` or `List[str]`, *optional*):
+            The prompt or prompts not to guide the image generation. If not defined, one has to pass
+            `negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `guidance_scale` is
+            less than `1`).
+        num_images_per_prompt (`int`, *optional*, defaults to 1):
+            The number of images to generate per prompt.
+        eta (`float`, *optional*, defaults to 0.0):
+            Corresponds to parameter eta (η) in the DDIM paper: https://arxiv.org/abs/2010.02502. Only applies to
+            [`schedulers.DDIMScheduler`], will be ignored for others.
+        generator (`torch.Generator` or `List[torch.Generator]`, *optional*):
+            One or a list of [torch generator(s)](https://pytorch.org/docs/stable/generated/torch.Generator.html)
+            to make generation deterministic.
+        latents (`torch.FloatTensor`, *optional*):
+            Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image
+            generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
+            tensor will ge generated by sampling using the supplied random `generator`.
+        prompt_embeds (`torch.FloatTensor`, *optional*):
+            Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
+            provided, text embeddings will be generated from `prompt` input argument.
+        negative_prompt_embeds (`torch.FloatTensor`, *optional*):
+            Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
+            weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
+            argument.
+        output_type (`str`, *optional*, defaults to `"pil"`):
+            The output format of the generate image. Choose between
+            [PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
+        return_dict (`bool`, *optional*, defaults to `True`):
+            Whether or not to return a [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] instead of a
+            plain tuple.
+        callback (`Callable`, *optional*):
+            A function that will be called every `callback_steps` steps during inference. The function will be
+            called with the following arguments: `callback(step: int, timestep: int, latents: torch.FloatTensor)`.
+        callback_steps (`int`, *optional*, defaults to 1):
+            The frequency at which the `callback` function will be called. If not specified, the callback will be
+            called at every step.
+        cross_attention_kwargs (`dict`, *optional*):
+            A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
+            `self.processor` in
+            [diffusers.models.attention_processor](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py).
+        controlnet_conditioning_scale (`float` or `List[float]`, *optional*, defaults to 1.0):
+            The outputs of the controlnet are multiplied by `controlnet_conditioning_scale` before they are added
+            to the residual in the original unet. If multiple ControlNets are specified in init, you can set the
+            corresponding scale as a list.
+        guess_mode (`bool`, *optional*, defaults to `False`):
+            In this mode, the ControlNet encoder will try best to recognize the content of the input image even if
+            you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended.
+        control_guidance_start (`float` or `List[float]`, *optional*, defaults to 0.0):
+            The percentage of total steps at which the controlnet starts applying.
+        control_guidance_end (`float` or `List[float]`, *optional*, defaults to 1.0):
+            The percentage of total steps at which the controlnet stops applying.
+
+    Examples:
+
+    Returns:
+        [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] or `tuple`:
+        [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] if `return_dict` is True, otherwise a `tuple.
+        When returning a tuple, the first element is a list with the generated images, and the second element is a
+        list of `bool`s denoting whether the corresponding generated image likely represents "not-safe-for-work"
+        (nsfw) content, according to the `safety_checker`.
+    """
+    controlnet = self.controlnet._orig_mod if is_compiled_module(self.controlnet) else self.controlnet
+
+    # align format for control guidance
+    if not isinstance(control_guidance_start, list) and isinstance(control_guidance_end, list):
+        control_guidance_start = len(control_guidance_end) * [control_guidance_start]
+    elif not isinstance(control_guidance_end, list) and isinstance(control_guidance_start, list):
+        control_guidance_end = len(control_guidance_start) * [control_guidance_end]
+    elif not isinstance(control_guidance_start, list) and not isinstance(control_guidance_end, list):
+        mult = len(controlnet.nets) if isinstance(controlnet, MultiControlNetModel) else 1
+        control_guidance_start, control_guidance_end = mult * [control_guidance_start], mult * [
+            control_guidance_end
+        ]
+
+    # 1. Check inputs. Raise error if not correct
+    self.check_inputs(
+        prompt,
+        image,
+        callback_steps,
+        negative_prompt,
+        prompt_embeds,
+        negative_prompt_embeds,
+        controlnet_conditioning_scale,
+        control_guidance_start,
+        control_guidance_end,
+    )
+
+    # 2. Define call parameters
+    if prompt is not None and isinstance(prompt, str):
+        batch_size = 1
+    elif prompt is not None and isinstance(prompt, list):
+        batch_size = len(prompt)
+    else:
+        batch_size = prompt_embeds.shape[0]
+
+    device = self._execution_device
+    # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2)
+    # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1`
+    # corresponds to doing no classifier free guidance.
+    do_classifier_free_guidance = guidance_scale > 1.0
+
+    if isinstance(controlnet, MultiControlNetModel) and isinstance(controlnet_conditioning_scale, float):
+        controlnet_conditioning_scale = [controlnet_conditioning_scale] * len(controlnet.nets)
+
+    global_pool_conditions = (
+        controlnet.config.global_pool_conditions
+        if isinstance(controlnet, ControlNetModel)
+        else controlnet.nets[0].config.global_pool_conditions
+    )
+    guess_mode = guess_mode or global_pool_conditions
+
+    # 3. Encode input prompt
+    text_encoder_lora_scale = (
+        cross_attention_kwargs.get("scale", None) if cross_attention_kwargs is not None else None
+    )
+    prompt_embeds = self._encode_prompt(
+        prompt,
+        device,
+        num_images_per_prompt,
+        do_classifier_free_guidance,
+        negative_prompt,
+        prompt_embeds=prompt_embeds,
+        negative_prompt_embeds=negative_prompt_embeds,
+        lora_scale=text_encoder_lora_scale,
+    )
+
+    # 4. Prepare image
+    if isinstance(controlnet, ControlNetModel):
+        image = self.prepare_image(
+            image=image,
+            width=width,
+            height=height,
+            batch_size=batch_size * num_images_per_prompt,
+            num_images_per_prompt=num_images_per_prompt,
+            device=device,
+            dtype=controlnet.dtype,
+            do_classifier_free_guidance=do_classifier_free_guidance,
+            guess_mode=guess_mode,
+        )
+        height, width = image.shape[-2:]
+    elif isinstance(controlnet, MultiControlNetModel):
+        images = []
+
+        for image_ in image:
+            image_ = self.prepare_image(
+                image=image_,
+                width=width,
+                height=height,
+                batch_size=batch_size * num_images_per_prompt,
+                num_images_per_prompt=num_images_per_prompt,
+                device=device,
+                dtype=controlnet.dtype,
+                do_classifier_free_guidance=do_classifier_free_guidance,
+                guess_mode=guess_mode,
+            )
+
+            images.append(image_)
+
+        image = images
+        height, width = image[0].shape[-2:]
+    else:
+        assert False
+
+    # 5. Prepare timesteps
+    self.scheduler.set_timesteps(num_inference_steps, device=device)
+    timesteps = self.scheduler.timesteps
+
+    # 6. Prepare latent variables
+    num_channels_latents = self.unet.config.in_channels
+    latents = self.prepare_latents(
+        batch_size * num_images_per_prompt,
+        num_channels_latents,
+        height,
+        width,
+        prompt_embeds.dtype,
+        device,
+        generator,
+        latents,
+    )
+
+    # 7. Prepare extra step kwargs. TODO: Logic should ideally just be moved out of the pipeline
+    extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
+
+    # 7.1 Create tensor stating which controlnets to keep
+    controlnet_keep = []
+    for i in range(len(timesteps)):
+        keeps = [
+            1.0 - float(i / len(timesteps) < s or (i + 1) / len(timesteps) > e)
+            for s, e in zip(control_guidance_start, control_guidance_end)
+        ]
+        controlnet_keep.append(keeps[0] if isinstance(controlnet, ControlNetModel) else keeps)
+
+    # 8. Denoising loop
+    num_warmup_steps = len(timesteps) - num_inference_steps * self.scheduler.order
+    with self.progress_bar(total=num_inference_steps) as progress_bar:
+        for i, t in enumerate(timesteps):
+            # expand the latents if we are doing classifier free guidance
+            latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
+            latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
+
+            # controlnet(s) inference
+            if guess_mode and do_classifier_free_guidance:
+                # Infer ControlNet only for the conditional batch.
+                control_model_input = latents
+                control_model_input = self.scheduler.scale_model_input(control_model_input, t)
+                controlnet_prompt_embeds = prompt_embeds[:, :77, :].chunk(2)[1]
+            else:
+                control_model_input = latent_model_input
+                controlnet_prompt_embeds = prompt_embeds[:, :77, :]
+
+            if isinstance(controlnet_keep[i], list):
+                cond_scale = [c * s for c, s in zip(controlnet_conditioning_scale, controlnet_keep[i])]
+            else:
+                controlnet_cond_scale = controlnet_conditioning_scale
+                if isinstance(controlnet_cond_scale, list):
+                    controlnet_cond_scale = controlnet_cond_scale[0]
+                cond_scale = controlnet_cond_scale * controlnet_keep[i]
+
+            down_block_res_samples, mid_block_res_sample = self.controlnet(
+                control_model_input,
+                t,
+                encoder_hidden_states=controlnet_prompt_embeds,
+                controlnet_cond=image,
+                conditioning_scale=cond_scale,
+                guess_mode=guess_mode,
+                return_dict=False,
+            )
+
+            if guess_mode and do_classifier_free_guidance:
+                # Infered ControlNet only for the conditional batch.
+                # To apply the output of ControlNet to both the unconditional and conditional batches,
+                # add 0 to the unconditional batch to keep it unchanged.
+                down_block_res_samples = [torch.cat([torch.zeros_like(d), d]) for d in down_block_res_samples]
+                mid_block_res_sample = torch.cat([torch.zeros_like(mid_block_res_sample), mid_block_res_sample])
+
+            # predict the noise residual
+            noise_pred = self.unet(
+                latent_model_input,
+                t,
+                encoder_hidden_states=prompt_embeds,
+                cross_attention_kwargs=cross_attention_kwargs,
+                down_block_additional_residuals=down_block_res_samples,
+                mid_block_additional_residual=mid_block_res_sample,
+                return_dict=False,
+            )[0]
+
+            # perform guidance
+            if do_classifier_free_guidance:
+                noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
+                noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
+
+            # compute the previous noisy sample x_t -> x_t-1
+            latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
+
+            # call the callback, if provided
+            if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):
+                progress_bar.update()
+                if callback is not None and i % callback_steps == 0:
+                    callback(i, t, latents)
+
+    # If we do sequential model offloading, let's offload unet and controlnet
+    # manually for max memory savings
+    if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
+        self.unet.to("cpu")
+        self.controlnet.to("cpu")
+        torch.cuda.empty_cache()
+
+    if not output_type == "latent":
+        image = self.vae.decode(latents / self.vae.config.scaling_factor, return_dict=False)[0]
+        image, has_nsfw_concept = self.run_safety_checker(image, device, prompt_embeds.dtype)
+    else:
+        image = latents
+        has_nsfw_concept = None
+
+    if has_nsfw_concept is None:
+        do_denormalize = [True] * image.shape[0]
+    else:
+        do_denormalize = [not has_nsfw for has_nsfw in has_nsfw_concept]
+
+    image = self.image_processor.postprocess(image, output_type=output_type, do_denormalize=do_denormalize)
+
+    # Offload last model to CPU
+    if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
+        self.final_offload_hook.offload()
+
+    if not return_dict:
+        return (image, has_nsfw_concept)
+
+    return StableDiffusionPipelineOutput(images=image, nsfw_content_detected=has_nsfw_concept)
\ No newline at end of file

From 69d37217b872ce4be6ad0f5058d0765e3fb5adbe Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Tue, 29 Aug 2023 06:29:05 -0700
Subject: [PATCH 006/265] Modifying code from
 https://github.com/tencent-ailab/IP-Adapter. Also adding license notice at
 top.

---
 .../backend/ip_adapter/attention_processor.py | 34 ++++---
 invokeai/backend/ip_adapter/ip_adapter.py     | 93 +++++++++++--------
 invokeai/backend/ip_adapter/resampler.py      | 30 +++---
 invokeai/backend/ip_adapter/utils.py          |  5 +-
 4 files changed, 94 insertions(+), 68 deletions(-)

diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
index 4754be00e0..de9b367b7d 100644
--- a/invokeai/backend/ip_adapter/attention_processor.py
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -1,3 +1,7 @@
+# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
+#   and modified as needed
+
+# tencent-ailab comment:
 # modified from https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py
 import torch
 import torch.nn as nn
@@ -74,8 +78,8 @@ class AttnProcessor(nn.Module):
         hidden_states = hidden_states / attn.rescale_output_factor
 
         return hidden_states
-    
-    
+
+
 class IPAttnProcessor(nn.Module):
     r"""
     Attention processor for IP-Adapater.
@@ -134,7 +138,7 @@ class IPAttnProcessor(nn.Module):
             encoder_hidden_states = hidden_states
         elif attn.norm_cross:
             encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-            
+
         # split hidden states
         encoder_hidden_states, ip_hidden_states = encoder_hidden_states[:, :self.text_context_len, :], encoder_hidden_states[:, self.text_context_len:, :]
 
@@ -148,18 +152,18 @@ class IPAttnProcessor(nn.Module):
         attention_probs = attn.get_attention_scores(query, key, attention_mask)
         hidden_states = torch.bmm(attention_probs, value)
         hidden_states = attn.batch_to_head_dim(hidden_states)
-        
+
         # for ip-adapter
         ip_key = self.to_k_ip(ip_hidden_states)
         ip_value = self.to_v_ip(ip_hidden_states)
-        
+
         ip_key = attn.head_to_batch_dim(ip_key)
         ip_value = attn.head_to_batch_dim(ip_value)
-        
+
         ip_attention_probs = attn.get_attention_scores(query, ip_key, None)
         ip_hidden_states = torch.bmm(ip_attention_probs, ip_value)
         ip_hidden_states = attn.batch_to_head_dim(ip_hidden_states)
-        
+
         hidden_states = hidden_states + self.scale * ip_hidden_states
 
         # linear proj
@@ -176,8 +180,8 @@ class IPAttnProcessor(nn.Module):
         hidden_states = hidden_states / attn.rescale_output_factor
 
         return hidden_states
-    
-    
+
+
 class AttnProcessor2_0(torch.nn.Module):
     r"""
     Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0).
@@ -264,8 +268,8 @@ class AttnProcessor2_0(torch.nn.Module):
         hidden_states = hidden_states / attn.rescale_output_factor
 
         return hidden_states
-    
-    
+
+
 class IPAttnProcessor2_0(torch.nn.Module):
     r"""
     Attention processor for IP-Adapater for PyTorch 2.0.
@@ -355,11 +359,11 @@ class IPAttnProcessor2_0(torch.nn.Module):
 
         hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
         hidden_states = hidden_states.to(query.dtype)
-        
+
         # for ip-adapter
         ip_key = self.to_k_ip(ip_hidden_states)
         ip_value = self.to_v_ip(ip_hidden_states)
-        
+
         ip_key = ip_key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
         ip_value = ip_value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
 
@@ -368,10 +372,10 @@ class IPAttnProcessor2_0(torch.nn.Module):
         ip_hidden_states = F.scaled_dot_product_attention(
             query, ip_key, ip_value, attn_mask=None, dropout_p=0.0, is_causal=False
         )
-        
+
         ip_hidden_states = ip_hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
         ip_hidden_states = ip_hidden_states.to(query.dtype)
-        
+
         hidden_states = hidden_states + self.scale * ip_hidden_states
 
         # linear proj
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 5d5d0af71b..ddec16eebc 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -1,3 +1,6 @@
+# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
+#   and modified as needed
+
 import os
 from typing import List
 
@@ -6,11 +9,14 @@ from diffusers import StableDiffusionPipeline
 from transformers import CLIPVisionModelWithProjection, CLIPImageProcessor
 from PIL import Image
 
-from .utils import is_torch2_available
-if is_torch2_available:
-    from .attention_processor import IPAttnProcessor2_0 as IPAttnProcessor, AttnProcessor2_0 as AttnProcessor
-else:
-    from .attention_processor import IPAttnProcessor, AttnProcessor
+# FIXME: Getting errors when trying to use PyTorch 2.0 versions of IPAttnProcessor and AttnProcessor
+#   so for now falling back to the default versions
+# from .utils import is_torch2_available
+# if is_torch2_available:
+#     from .attention_processor import IPAttnProcessor2_0 as IPAttnProcessor, AttnProcessor2_0 as AttnProcessor
+# else:
+#     from .attention_processor import IPAttnProcessor, AttnProcessor
+from .attention_processor import IPAttnProcessor, AttnProcessor
 from .resampler import Resampler
 
 
@@ -18,12 +24,12 @@ class ImageProjModel(torch.nn.Module):
     """Projection Model"""
     def __init__(self, cross_attention_dim=1024, clip_embeddings_dim=1024, clip_extra_context_tokens=4):
         super().__init__()
-        
+
         self.cross_attention_dim = cross_attention_dim
         self.clip_extra_context_tokens = clip_extra_context_tokens
         self.proj = torch.nn.Linear(clip_embeddings_dim, self.clip_extra_context_tokens * cross_attention_dim)
         self.norm = torch.nn.LayerNorm(cross_attention_dim)
-        
+
     def forward(self, image_embeds):
         embeds = image_embeds
         clip_extra_context_tokens = self.proj(embeds).reshape(-1, self.clip_extra_context_tokens, self.cross_attention_dim)
@@ -32,25 +38,29 @@ class ImageProjModel(torch.nn.Module):
 
 
 class IPAdapter:
-    
+
     def __init__(self, sd_pipe, image_encoder_path, ip_ckpt, device, num_tokens=4):
-        
+
         self.device = device
         self.image_encoder_path = image_encoder_path
         self.ip_ckpt = ip_ckpt
         self.num_tokens = num_tokens
-        
-        self.pipe = sd_pipe.to(self.device)
+
+        # FIXME:
+        #  InvokeAI StableDiffusionPipeline has a to() method that isn't meant to be used
+        #     so for now assuming that pipeline is already on the correct device
+        # self.pipe = sd_pipe.to(self.device)
+        self.pipe = sd_pipe
         self.set_ip_adapter()
-        
+
         # load image encoder
         self.image_encoder = CLIPVisionModelWithProjection.from_pretrained(self.image_encoder_path).to(self.device, dtype=torch.float16)
         self.clip_image_processor = CLIPImageProcessor()
         # image proj model
         self.image_proj_model = self.init_proj()
-        
+
         self.load_ip_adapter()
-        
+
     def init_proj(self):
         image_proj_model = ImageProjModel(
             cross_attention_dim=self.pipe.unet.config.cross_attention_dim,
@@ -58,10 +68,12 @@ class IPAdapter:
             clip_extra_context_tokens=self.num_tokens,
         ).to(self.device, dtype=torch.float16)
         return image_proj_model
-        
+
     def set_ip_adapter(self):
         unet = self.pipe.unet
         attn_procs = {}
+        print("Original UNet Attn Processors count:", len(unet.attn_processors))
+        print(unet.attn_processors.keys())
         for name in unet.attn_processors.keys():
             cross_attention_dim = None if name.endswith("attn1.processor") else unet.config.cross_attention_dim
             if name.startswith("mid_block"):
@@ -75,16 +87,19 @@ class IPAdapter:
             if cross_attention_dim is None:
                 attn_procs[name] = AttnProcessor()
             else:
+                print("swapping in IPAttnProcessor for", name)
                 attn_procs[name] = IPAttnProcessor(hidden_size=hidden_size, cross_attention_dim=cross_attention_dim,
                 scale=1.0).to(self.device, dtype=torch.float16)
         unet.set_attn_processor(attn_procs)
-        
+        print("Modified UNet Attn Processors count:", len(unet.attn_processors))
+        print(unet.attn_processors.keys())
+
     def load_ip_adapter(self):
         state_dict = torch.load(self.ip_ckpt, map_location="cpu")
         self.image_proj_model.load_state_dict(state_dict["image_proj"])
         ip_layers = torch.nn.ModuleList(self.pipe.unet.attn_processors.values())
         ip_layers.load_state_dict(state_dict["ip_adapter"])
-        
+
     @torch.inference_mode()
     def get_image_embeds(self, pil_image):
         if isinstance(pil_image, Image.Image):
@@ -94,12 +109,14 @@ class IPAdapter:
         image_prompt_embeds = self.image_proj_model(clip_image_embeds)
         uncond_image_prompt_embeds = self.image_proj_model(torch.zeros_like(clip_image_embeds))
         return image_prompt_embeds, uncond_image_prompt_embeds
-    
+
     def set_scale(self, scale):
         for attn_processor in self.pipe.unet.attn_processors.values():
             if isinstance(attn_processor, IPAttnProcessor):
                 attn_processor.scale = scale
-        
+
+    # IPAdapter.generate() method is not used for InvokeAI
+    #        left here for reference
     def generate(
         self,
         pil_image,
@@ -113,22 +130,22 @@ class IPAdapter:
         **kwargs,
     ):
         self.set_scale(scale)
-        
+
         if isinstance(pil_image, Image.Image):
             num_prompts = 1
         else:
             num_prompts = len(pil_image)
-        
+
         if prompt is None:
             prompt = "best quality, high quality"
         if negative_prompt is None:
             negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
-            
+
         if not isinstance(prompt, List):
             prompt = [prompt] * num_prompts
         if not isinstance(negative_prompt, List):
             negative_prompt = [negative_prompt] * num_prompts
-        
+
         image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
         bs_embed, seq_len, _ = image_prompt_embeds.shape
         image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
@@ -142,7 +159,7 @@ class IPAdapter:
             negative_prompt_embeds_, prompt_embeds_ = prompt_embeds.chunk(2)
             prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
-            
+
         generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
         images = self.pipe(
             prompt_embeds=prompt_embeds,
@@ -152,13 +169,13 @@ class IPAdapter:
             generator=generator,
             **kwargs,
         ).images
-        
+
         return images
-    
-    
+
+
 class IPAdapterXL(IPAdapter):
     """SDXL"""
-    
+
     def generate(
         self,
         pil_image,
@@ -171,22 +188,22 @@ class IPAdapterXL(IPAdapter):
         **kwargs,
     ):
         self.set_scale(scale)
-        
+
         if isinstance(pil_image, Image.Image):
             num_prompts = 1
         else:
             num_prompts = len(pil_image)
-        
+
         if prompt is None:
             prompt = "best quality, high quality"
         if negative_prompt is None:
             negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
-            
+
         if not isinstance(prompt, List):
             prompt = [prompt] * num_prompts
         if not isinstance(negative_prompt, List):
             negative_prompt = [negative_prompt] * num_prompts
-        
+
         image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
         bs_embed, seq_len, _ = image_prompt_embeds.shape
         image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
@@ -199,7 +216,7 @@ class IPAdapterXL(IPAdapter):
                 prompt, num_images_per_prompt=num_samples, do_classifier_free_guidance=True, negative_prompt=negative_prompt)
             prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
-            
+
         generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
         images = self.pipe(
             prompt_embeds=prompt_embeds,
@@ -210,10 +227,10 @@ class IPAdapterXL(IPAdapter):
             generator=generator,
             **kwargs,
         ).images
-        
+
         return images
-    
-    
+
+
 class IPAdapterPlus(IPAdapter):
     """IP-Adapter with fine-grained features"""
 
@@ -229,7 +246,7 @@ class IPAdapterPlus(IPAdapter):
             ff_mult=4
         ).to(self.device, dtype=torch.float16)
         return image_proj_model
-    
+
     @torch.inference_mode()
     def get_image_embeds(self, pil_image):
         if isinstance(pil_image, Image.Image):
@@ -240,4 +257,4 @@ class IPAdapterPlus(IPAdapter):
         image_prompt_embeds = self.image_proj_model(clip_image_embeds)
         uncond_clip_image_embeds = self.image_encoder(torch.zeros_like(clip_image), output_hidden_states=True).hidden_states[-2]
         uncond_image_prompt_embeds = self.image_proj_model(uncond_clip_image_embeds)
-        return image_prompt_embeds, uncond_image_prompt_embeds
\ No newline at end of file
+        return image_prompt_embeds, uncond_image_prompt_embeds
diff --git a/invokeai/backend/ip_adapter/resampler.py b/invokeai/backend/ip_adapter/resampler.py
index 4521c8c3e6..327ef7c140 100644
--- a/invokeai/backend/ip_adapter/resampler.py
+++ b/invokeai/backend/ip_adapter/resampler.py
@@ -1,4 +1,6 @@
-# modified from https://github.com/mlfoundations/open_flamingo/blob/main/open_flamingo/src/helpers.py
+# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
+
+# tencent ailab comment: modified from https://github.com/mlfoundations/open_flamingo/blob/main/open_flamingo/src/helpers.py
 import math
 
 import torch
@@ -14,8 +16,8 @@ def FeedForward(dim, mult=4):
         nn.GELU(),
         nn.Linear(inner_dim, dim, bias=False),
     )
-    
-    
+
+
 def reshape_tensor(x, heads):
     bs, length, width = x.shape
     #(bs, length, width) --> (bs, length, n_heads, dim_per_head)
@@ -53,13 +55,13 @@ class PerceiverAttention(nn.Module):
         """
         x = self.norm1(x)
         latents = self.norm2(latents)
-        
+
         b, l, _ = latents.shape
 
         q = self.to_q(latents)
         kv_input = torch.cat((x, latents), dim=-2)
         k, v = self.to_kv(kv_input).chunk(2, dim=-1)
-        
+
         q = reshape_tensor(q, self.heads)
         k = reshape_tensor(k, self.heads)
         v = reshape_tensor(v, self.heads)
@@ -69,7 +71,7 @@ class PerceiverAttention(nn.Module):
         weight = (q * scale) @ (k * scale).transpose(-2, -1) # More stable with f16 than dividing afterwards
         weight = torch.softmax(weight.float(), dim=-1).type(weight.dtype)
         out = weight @ v
-        
+
         out = out.permute(0, 2, 1, 3).reshape(b, l, -1)
 
         return self.to_out(out)
@@ -88,14 +90,14 @@ class Resampler(nn.Module):
         ff_mult=4,
     ):
         super().__init__()
-        
+
         self.latents = nn.Parameter(torch.randn(1, num_queries, dim) / dim**0.5)
-        
+
         self.proj_in = nn.Linear(embedding_dim, dim)
 
         self.proj_out = nn.Linear(dim, output_dim)
         self.norm_out = nn.LayerNorm(output_dim)
-        
+
         self.layers = nn.ModuleList([])
         for _ in range(depth):
             self.layers.append(
@@ -108,14 +110,14 @@ class Resampler(nn.Module):
             )
 
     def forward(self, x):
-        
+
         latents = self.latents.repeat(x.size(0), 1, 1)
-        
+
         x = self.proj_in(x)
-        
+
         for attn, ff in self.layers:
             latents = attn(x, latents) + latents
             latents = ff(latents) + latents
-            
+
         latents = self.proj_out(latents)
-        return self.norm_out(latents)
\ No newline at end of file
+        return self.norm_out(latents)
diff --git a/invokeai/backend/ip_adapter/utils.py b/invokeai/backend/ip_adapter/utils.py
index 10218092ed..e120a9e2b4 100644
--- a/invokeai/backend/ip_adapter/utils.py
+++ b/invokeai/backend/ip_adapter/utils.py
@@ -1,3 +1,6 @@
+# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
+#   and modified as needed
+
 import inspect
 import warnings
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
@@ -365,4 +368,4 @@ def generate(
     if not return_dict:
         return (image, has_nsfw_concept)
 
-    return StableDiffusionPipelineOutput(images=image, nsfw_content_detected=has_nsfw_concept)
\ No newline at end of file
+    return StableDiffusionPipelineOutput(images=image, nsfw_content_detected=has_nsfw_concept)

From 9ed4d487d25c0f789030b089e57d3f588bece1dd Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Tue, 29 Aug 2023 06:31:24 -0700
Subject: [PATCH 007/265] Working POC of IP-Adapters. Not fully nodified yet.

---
 .../stable_diffusion/diffusers_pipeline.py    | 54 +++++++++++++++++++
 1 file changed, 54 insertions(+)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 2d1894c896..f40e4dae03 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -34,6 +34,7 @@ from .diffusion import (
     BasicConditioningInfo,
 )
 from ..util import normalize_device, auto_detect_slice_size
+from invokeai.backend.ip_adapter.ip_adapter import IPAdapter
 
 
 @dataclass
@@ -357,6 +358,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         additional_guidance: List[Callable] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
         control_data: List[ControlNetData] = None,
+        ip_adapter_image: Optional[PIL.Image] = None,
         mask: Optional[torch.Tensor] = None,
         masked_latents: Optional[torch.Tensor] = None,
         seed: Optional[int] = None,
@@ -408,6 +410,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 conditioning_data,
                 additional_guidance=additional_guidance,
                 control_data=control_data,
+                ip_adapter_image=ip_adapter_image,
                 callback=callback,
             )
         finally:
@@ -427,8 +430,10 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         *,
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
+        ip_adapter_image: Optional[PIL.Image] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
     ):
+
         self._adjust_memory_efficient_attention(latents)
         if additional_guidance is None:
             additional_guidance = []
@@ -439,6 +444,55 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if timesteps.shape[0] == 0:
             return latents, attention_map_saver
 
+        print("ip_adapter_image: ", type(ip_adapter_image))
+        if ip_adapter_image is not None:
+            # initialize IPAdapter
+            print("   width:", ip_adapter_image.width, " height:", ip_adapter_image.height)
+            clip_image_encoder_path = "ip_adapter_models_sd_1.5/image_encoder/"
+            ip_adapter_model_path = "ip_adapter_models_sd_1.5/ip-adapter_sd15.bin"
+            # FIXME:
+            #   WARNING!
+            #   IPAdapter constructor modifies UNet model in-place
+            #   Adds additional cross-attention layers to UNet model for image embedding
+            #   need to figure out how to only do this if UNet hasn't already been modified by prior IPAdapter
+            #   and how to undo if ip_adapter_image is removed
+            #   use existing model management context etc?
+            #
+            ip_adapter = IPAdapter(self,                    # IPAdapter first arg is StableDiffusionPipeline
+                                   clip_image_encoder_path, # hardwiring to manually downloaded dir for first pass
+                                   ip_adapter_model_path,   # hardwiring to manually downloaded loc for first pass
+                                   "cuda")                  # hardwiring CUDA GPU for first pass
+            # IP-Adapter ==> add additional cross-attention layers to UNet model here?
+            print("ip_adapter:", ip_adapter)
+
+            # get image embedding from CLIP and ImageProjModel
+            print("getting image embeddings from IP-Adapter...")
+            num_samples = 1   # hardwiring for first pass
+            image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter.get_image_embeds(ip_adapter_image)
+            print("image cond   embeds shape:", image_prompt_embeds.shape)
+            print("image uncond embeds shape:", uncond_image_prompt_embeds.shape)
+            bs_embed, seq_len, _ = image_prompt_embeds.shape
+            image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
+            image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+            uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
+            uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+            print("image cond   embeds shape:", image_prompt_embeds.shape)
+            print("image uncond embeds shape:", uncond_image_prompt_embeds.shape)
+
+            # IP-Adapter: run IP-Adapter model here?
+            # and add output as additional cross-attention layers
+            text_prompt_embeds = conditioning_data.text_embeddings.embeds
+            uncond_text_prompt_embeds = conditioning_data.unconditioned_embeddings.embeds
+            print("text embeds shape:", text_prompt_embeds.shape)
+            concat_prompt_embeds = torch.cat([text_prompt_embeds, image_prompt_embeds], dim=1)
+            concat_uncond_prompt_embeds = torch.cat([uncond_text_prompt_embeds, uncond_image_prompt_embeds], dim=1)
+            print("concat embeds shape:", concat_prompt_embeds.shape)
+            conditioning_data.text_embeddings.embeds = concat_prompt_embeds
+            conditioning_data.unconditioned_embeddings.embeds = concat_uncond_prompt_embeds
+        else:
+            image_prompt_embeds = None
+            uncond_image_prompt_embeds = None
+
         extra_conditioning_info = conditioning_data.extra
         with self.invokeai_diffuser.custom_attention_context(
             self.invokeai_diffuser.model,

From 35b7ae90aeed9d3793cac11efc0e12d490442186 Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Tue, 29 Aug 2023 06:32:48 -0700
Subject: [PATCH 008/265] Working POC for IP-Adapters. Not fully nodified yet,
 lots of caveats, hardwired model paths, etc.

---
 invokeai/app/invocations/latent.py | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 80988f3c71..f5ef356134 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -52,9 +52,10 @@ from .compel import ConditioningField
 from .controlnet_image_processors import ControlField
 from .model import ModelInfo, UNetField, VaeField
 
-DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
 
+DEFAULT_PRECISION = choose_precision(choose_torch_device())
+
 SAMPLER_NAME_VALUES = Literal[tuple(list(SCHEDULER_MAP.keys()))]
 
 
@@ -191,6 +192,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
         default=None,
         description=FieldDescriptions.mask,
     )
+    ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection)
 
     @validator("cfg_scale")
     def ge_one(cls, v):
@@ -476,6 +478,13 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 pipeline = self.create_pipeline(unet, scheduler)
                 conditioning_data = self.get_conditioning_data(context, scheduler, unet, seed)
 
+                if self.ip_adapter_image is not None:
+                    print("ip_adapter_image:", self.ip_adapter_image)
+                    unwrapped_ip_adapter_image = context.services.images.get_pil_image(self.ip_adapter_image.image_name)
+                    print("unwrapped ip_adapter_image:", unwrapped_ip_adapter_image)
+                else:
+                    unwrapped_ip_adapter_image = None
+
                 control_data = self.prep_control_data(
                     model=pipeline,
                     context=context,
@@ -504,7 +513,8 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     masked_latents=masked_latents,
                     num_inference_steps=num_inference_steps,
                     conditioning_data=conditioning_data,
-                    control_data=control_data,  # list[ControlNetData]
+                    control_data=control_data,  # list[ControlNetData],
+                    ip_adapter_image=unwrapped_ip_adapter_image,
                     callback=step_callback,
                 )
 

From 5f4a62810edf5c2dfb687b67844d313896f99b7a Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Tue, 29 Aug 2023 10:42:42 -0700
Subject: [PATCH 009/265] Added ip_adapter_strength parameter to adjust
 weighting of IP-Adapter's added cross-attention layers

---
 invokeai/app/invocations/latent.py                      | 5 ++++-
 invokeai/backend/stable_diffusion/diffusers_pipeline.py | 4 ++++
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index f5ef356134..5f00995414 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -192,7 +192,9 @@ class DenoiseLatentsInvocation(BaseInvocation):
         default=None,
         description=FieldDescriptions.mask,
     )
-    ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection)
+    ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection, title="IP Adapter Image", ui_order=6)
+    ip_adapter_strength: float = InputField(default=1.0, ge=0, le=2, ui_type=UIType.Float,
+                                            title="IP Adapter Strength", ui_order=7)
 
     @validator("cfg_scale")
     def ge_one(cls, v):
@@ -515,6 +517,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     conditioning_data=conditioning_data,
                     control_data=control_data,  # list[ControlNetData],
                     ip_adapter_image=unwrapped_ip_adapter_image,
+                    ip_adapter_strength=self.ip_adapter_strength,
                     callback=step_callback,
                 )
 
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index f40e4dae03..3335c8866f 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -359,6 +359,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         callback: Callable[[PipelineIntermediateState], None] = None,
         control_data: List[ControlNetData] = None,
         ip_adapter_image: Optional[PIL.Image] = None,
+        ip_adapter_strength: float = 1.0,
         mask: Optional[torch.Tensor] = None,
         masked_latents: Optional[torch.Tensor] = None,
         seed: Optional[int] = None,
@@ -411,6 +412,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 additional_guidance=additional_guidance,
                 control_data=control_data,
                 ip_adapter_image=ip_adapter_image,
+                ip_adapter_strength=ip_adapter_strength,
                 callback=callback,
             )
         finally:
@@ -431,6 +433,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
         ip_adapter_image: Optional[PIL.Image] = None,
+        ip_adapter_strength: float = 1.0,
         callback: Callable[[PipelineIntermediateState], None] = None,
     ):
 
@@ -463,6 +466,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                                    ip_adapter_model_path,   # hardwiring to manually downloaded loc for first pass
                                    "cuda")                  # hardwiring CUDA GPU for first pass
             # IP-Adapter ==> add additional cross-attention layers to UNet model here?
+            ip_adapter.set_scale(ip_adapter_strength)
             print("ip_adapter:", ip_adapter)
 
             # get image embedding from CLIP and ImageProjModel

From 1ad98ce9998eebdd28ed7e7f2df4c50d62b231de Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Tue, 29 Aug 2023 00:51:55 -0700
Subject: [PATCH 010/265] Core ip_adapter files from
 https://github.com/tencent-ailab/IP-Adapter Copied into InvokeAI since
 IP-Adapter repo is not a package. Is there a better way to do this for
 non-packaged Python code while still keeping InvokeAI install easy?

---
 invokeai/backend/ip_adapter/__init__.py       |   1 +
 .../backend/ip_adapter/attention_processor.py | 390 ++++++++++++++++++
 invokeai/backend/ip_adapter/ip_adapter.py     | 243 +++++++++++
 invokeai/backend/ip_adapter/resampler.py      | 121 ++++++
 invokeai/backend/ip_adapter/utils.py          | 368 +++++++++++++++++
 5 files changed, 1123 insertions(+)
 create mode 100644 invokeai/backend/ip_adapter/__init__.py
 create mode 100644 invokeai/backend/ip_adapter/attention_processor.py
 create mode 100644 invokeai/backend/ip_adapter/ip_adapter.py
 create mode 100644 invokeai/backend/ip_adapter/resampler.py
 create mode 100644 invokeai/backend/ip_adapter/utils.py

diff --git a/invokeai/backend/ip_adapter/__init__.py b/invokeai/backend/ip_adapter/__init__.py
new file mode 100644
index 0000000000..852ee25813
--- /dev/null
+++ b/invokeai/backend/ip_adapter/__init__.py
@@ -0,0 +1 @@
+from .ip_adapter import IPAdapter, IPAdapterXL, IPAdapterPlus
diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
new file mode 100644
index 0000000000..4754be00e0
--- /dev/null
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -0,0 +1,390 @@
+# modified from https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+
+class AttnProcessor(nn.Module):
+    r"""
+    Default processor for performing attention-related computations.
+    """
+    def __init__(
+        self,
+        hidden_size=None,
+        cross_attention_dim=None,
+    ):
+        super().__init__()
+
+    def __call__(
+        self,
+        attn,
+        hidden_states,
+        encoder_hidden_states=None,
+        attention_mask=None,
+        temb=None,
+    ):
+        residual = hidden_states
+
+        if attn.spatial_norm is not None:
+            hidden_states = attn.spatial_norm(hidden_states, temb)
+
+        input_ndim = hidden_states.ndim
+
+        if input_ndim == 4:
+            batch_size, channel, height, width = hidden_states.shape
+            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
+
+        batch_size, sequence_length, _ = (
+            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
+        )
+        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
+
+        if attn.group_norm is not None:
+            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
+
+        query = attn.to_q(hidden_states)
+
+        if encoder_hidden_states is None:
+            encoder_hidden_states = hidden_states
+        elif attn.norm_cross:
+            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
+
+        key = attn.to_k(encoder_hidden_states)
+        value = attn.to_v(encoder_hidden_states)
+
+        query = attn.head_to_batch_dim(query)
+        key = attn.head_to_batch_dim(key)
+        value = attn.head_to_batch_dim(value)
+
+        attention_probs = attn.get_attention_scores(query, key, attention_mask)
+        hidden_states = torch.bmm(attention_probs, value)
+        hidden_states = attn.batch_to_head_dim(hidden_states)
+
+        # linear proj
+        hidden_states = attn.to_out[0](hidden_states)
+        # dropout
+        hidden_states = attn.to_out[1](hidden_states)
+
+        if input_ndim == 4:
+            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
+
+        if attn.residual_connection:
+            hidden_states = hidden_states + residual
+
+        hidden_states = hidden_states / attn.rescale_output_factor
+
+        return hidden_states
+    
+    
+class IPAttnProcessor(nn.Module):
+    r"""
+    Attention processor for IP-Adapater.
+    Args:
+        hidden_size (`int`):
+            The hidden size of the attention layer.
+        cross_attention_dim (`int`):
+            The number of channels in the `encoder_hidden_states`.
+        text_context_len (`int`, defaults to 77):
+            The context length of the text features.
+        scale (`float`, defaults to 1.0):
+            the weight scale of image prompt.
+    """
+
+    def __init__(self, hidden_size, cross_attention_dim=None, text_context_len=77, scale=1.0):
+        super().__init__()
+
+        self.hidden_size = hidden_size
+        self.cross_attention_dim = cross_attention_dim
+        self.text_context_len = text_context_len
+        self.scale = scale
+
+        self.to_k_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
+        self.to_v_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
+
+    def __call__(
+        self,
+        attn,
+        hidden_states,
+        encoder_hidden_states=None,
+        attention_mask=None,
+        temb=None,
+    ):
+        residual = hidden_states
+
+        if attn.spatial_norm is not None:
+            hidden_states = attn.spatial_norm(hidden_states, temb)
+
+        input_ndim = hidden_states.ndim
+
+        if input_ndim == 4:
+            batch_size, channel, height, width = hidden_states.shape
+            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
+
+        batch_size, sequence_length, _ = (
+            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
+        )
+        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
+
+        if attn.group_norm is not None:
+            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
+
+        query = attn.to_q(hidden_states)
+
+        if encoder_hidden_states is None:
+            encoder_hidden_states = hidden_states
+        elif attn.norm_cross:
+            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
+            
+        # split hidden states
+        encoder_hidden_states, ip_hidden_states = encoder_hidden_states[:, :self.text_context_len, :], encoder_hidden_states[:, self.text_context_len:, :]
+
+        key = attn.to_k(encoder_hidden_states)
+        value = attn.to_v(encoder_hidden_states)
+
+        query = attn.head_to_batch_dim(query)
+        key = attn.head_to_batch_dim(key)
+        value = attn.head_to_batch_dim(value)
+
+        attention_probs = attn.get_attention_scores(query, key, attention_mask)
+        hidden_states = torch.bmm(attention_probs, value)
+        hidden_states = attn.batch_to_head_dim(hidden_states)
+        
+        # for ip-adapter
+        ip_key = self.to_k_ip(ip_hidden_states)
+        ip_value = self.to_v_ip(ip_hidden_states)
+        
+        ip_key = attn.head_to_batch_dim(ip_key)
+        ip_value = attn.head_to_batch_dim(ip_value)
+        
+        ip_attention_probs = attn.get_attention_scores(query, ip_key, None)
+        ip_hidden_states = torch.bmm(ip_attention_probs, ip_value)
+        ip_hidden_states = attn.batch_to_head_dim(ip_hidden_states)
+        
+        hidden_states = hidden_states + self.scale * ip_hidden_states
+
+        # linear proj
+        hidden_states = attn.to_out[0](hidden_states)
+        # dropout
+        hidden_states = attn.to_out[1](hidden_states)
+
+        if input_ndim == 4:
+            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
+
+        if attn.residual_connection:
+            hidden_states = hidden_states + residual
+
+        hidden_states = hidden_states / attn.rescale_output_factor
+
+        return hidden_states
+    
+    
+class AttnProcessor2_0(torch.nn.Module):
+    r"""
+    Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0).
+    """
+    def __init__(
+        self,
+        hidden_size=None,
+        cross_attention_dim=None,
+    ):
+        super().__init__()
+        if not hasattr(F, "scaled_dot_product_attention"):
+            raise ImportError("AttnProcessor2_0 requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0.")
+
+    def __call__(
+        self,
+        attn,
+        hidden_states,
+        encoder_hidden_states=None,
+        attention_mask=None,
+        temb=None,
+    ):
+        residual = hidden_states
+
+        if attn.spatial_norm is not None:
+            hidden_states = attn.spatial_norm(hidden_states, temb)
+
+        input_ndim = hidden_states.ndim
+
+        if input_ndim == 4:
+            batch_size, channel, height, width = hidden_states.shape
+            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
+
+        batch_size, sequence_length, _ = (
+            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
+        )
+
+        if attention_mask is not None:
+            attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
+            # scaled_dot_product_attention expects attention_mask shape to be
+            # (batch, heads, source_length, target_length)
+            attention_mask = attention_mask.view(batch_size, attn.heads, -1, attention_mask.shape[-1])
+
+        if attn.group_norm is not None:
+            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
+
+        query = attn.to_q(hidden_states)
+
+        if encoder_hidden_states is None:
+            encoder_hidden_states = hidden_states
+        elif attn.norm_cross:
+            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
+
+        key = attn.to_k(encoder_hidden_states)
+        value = attn.to_v(encoder_hidden_states)
+
+        inner_dim = key.shape[-1]
+        head_dim = inner_dim // attn.heads
+
+        query = query.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+
+        key = key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+        value = value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+
+        # the output of sdp = (batch, num_heads, seq_len, head_dim)
+        # TODO: add support for attn.scale when we move to Torch 2.1
+        hidden_states = F.scaled_dot_product_attention(
+            query, key, value, attn_mask=attention_mask, dropout_p=0.0, is_causal=False
+        )
+
+        hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
+        hidden_states = hidden_states.to(query.dtype)
+
+        # linear proj
+        hidden_states = attn.to_out[0](hidden_states)
+        # dropout
+        hidden_states = attn.to_out[1](hidden_states)
+
+        if input_ndim == 4:
+            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
+
+        if attn.residual_connection:
+            hidden_states = hidden_states + residual
+
+        hidden_states = hidden_states / attn.rescale_output_factor
+
+        return hidden_states
+    
+    
+class IPAttnProcessor2_0(torch.nn.Module):
+    r"""
+    Attention processor for IP-Adapater for PyTorch 2.0.
+    Args:
+        hidden_size (`int`):
+            The hidden size of the attention layer.
+        cross_attention_dim (`int`):
+            The number of channels in the `encoder_hidden_states`.
+        text_context_len (`int`, defaults to 77):
+            The context length of the text features.
+        scale (`float`, defaults to 1.0):
+            the weight scale of image prompt.
+    """
+
+    def __init__(self, hidden_size, cross_attention_dim=None, text_context_len=77, scale=1.0):
+        super().__init__()
+
+        if not hasattr(F, "scaled_dot_product_attention"):
+            raise ImportError("AttnProcessor2_0 requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0.")
+
+        self.hidden_size = hidden_size
+        self.cross_attention_dim = cross_attention_dim
+        self.text_context_len = text_context_len
+        self.scale = scale
+
+        self.to_k_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
+        self.to_v_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
+
+    def __call__(
+        self,
+        attn,
+        hidden_states,
+        encoder_hidden_states=None,
+        attention_mask=None,
+        temb=None,
+    ):
+        residual = hidden_states
+
+        if attn.spatial_norm is not None:
+            hidden_states = attn.spatial_norm(hidden_states, temb)
+
+        input_ndim = hidden_states.ndim
+
+        if input_ndim == 4:
+            batch_size, channel, height, width = hidden_states.shape
+            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
+
+        batch_size, sequence_length, _ = (
+            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
+        )
+
+        if attention_mask is not None:
+            attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
+            # scaled_dot_product_attention expects attention_mask shape to be
+            # (batch, heads, source_length, target_length)
+            attention_mask = attention_mask.view(batch_size, attn.heads, -1, attention_mask.shape[-1])
+
+        if attn.group_norm is not None:
+            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
+
+        query = attn.to_q(hidden_states)
+
+        if encoder_hidden_states is None:
+            encoder_hidden_states = hidden_states
+        elif attn.norm_cross:
+            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
+
+        # split hidden states
+        encoder_hidden_states, ip_hidden_states = encoder_hidden_states[:, :self.text_context_len, :], encoder_hidden_states[:, self.text_context_len:, :]
+
+        key = attn.to_k(encoder_hidden_states)
+        value = attn.to_v(encoder_hidden_states)
+
+        inner_dim = key.shape[-1]
+        head_dim = inner_dim // attn.heads
+
+        query = query.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+
+        key = key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+        value = value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+
+        # the output of sdp = (batch, num_heads, seq_len, head_dim)
+        # TODO: add support for attn.scale when we move to Torch 2.1
+        hidden_states = F.scaled_dot_product_attention(
+            query, key, value, attn_mask=attention_mask, dropout_p=0.0, is_causal=False
+        )
+
+        hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
+        hidden_states = hidden_states.to(query.dtype)
+        
+        # for ip-adapter
+        ip_key = self.to_k_ip(ip_hidden_states)
+        ip_value = self.to_v_ip(ip_hidden_states)
+        
+        ip_key = ip_key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+        ip_value = ip_value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+
+        # the output of sdp = (batch, num_heads, seq_len, head_dim)
+        # TODO: add support for attn.scale when we move to Torch 2.1
+        ip_hidden_states = F.scaled_dot_product_attention(
+            query, ip_key, ip_value, attn_mask=None, dropout_p=0.0, is_causal=False
+        )
+        
+        ip_hidden_states = ip_hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
+        ip_hidden_states = ip_hidden_states.to(query.dtype)
+        
+        hidden_states = hidden_states + self.scale * ip_hidden_states
+
+        # linear proj
+        hidden_states = attn.to_out[0](hidden_states)
+        # dropout
+        hidden_states = attn.to_out[1](hidden_states)
+
+        if input_ndim == 4:
+            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
+
+        if attn.residual_connection:
+            hidden_states = hidden_states + residual
+
+        hidden_states = hidden_states / attn.rescale_output_factor
+
+        return hidden_states
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
new file mode 100644
index 0000000000..5d5d0af71b
--- /dev/null
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -0,0 +1,243 @@
+import os
+from typing import List
+
+import torch
+from diffusers import StableDiffusionPipeline
+from transformers import CLIPVisionModelWithProjection, CLIPImageProcessor
+from PIL import Image
+
+from .utils import is_torch2_available
+if is_torch2_available:
+    from .attention_processor import IPAttnProcessor2_0 as IPAttnProcessor, AttnProcessor2_0 as AttnProcessor
+else:
+    from .attention_processor import IPAttnProcessor, AttnProcessor
+from .resampler import Resampler
+
+
+class ImageProjModel(torch.nn.Module):
+    """Projection Model"""
+    def __init__(self, cross_attention_dim=1024, clip_embeddings_dim=1024, clip_extra_context_tokens=4):
+        super().__init__()
+        
+        self.cross_attention_dim = cross_attention_dim
+        self.clip_extra_context_tokens = clip_extra_context_tokens
+        self.proj = torch.nn.Linear(clip_embeddings_dim, self.clip_extra_context_tokens * cross_attention_dim)
+        self.norm = torch.nn.LayerNorm(cross_attention_dim)
+        
+    def forward(self, image_embeds):
+        embeds = image_embeds
+        clip_extra_context_tokens = self.proj(embeds).reshape(-1, self.clip_extra_context_tokens, self.cross_attention_dim)
+        clip_extra_context_tokens = self.norm(clip_extra_context_tokens)
+        return clip_extra_context_tokens
+
+
+class IPAdapter:
+    
+    def __init__(self, sd_pipe, image_encoder_path, ip_ckpt, device, num_tokens=4):
+        
+        self.device = device
+        self.image_encoder_path = image_encoder_path
+        self.ip_ckpt = ip_ckpt
+        self.num_tokens = num_tokens
+        
+        self.pipe = sd_pipe.to(self.device)
+        self.set_ip_adapter()
+        
+        # load image encoder
+        self.image_encoder = CLIPVisionModelWithProjection.from_pretrained(self.image_encoder_path).to(self.device, dtype=torch.float16)
+        self.clip_image_processor = CLIPImageProcessor()
+        # image proj model
+        self.image_proj_model = self.init_proj()
+        
+        self.load_ip_adapter()
+        
+    def init_proj(self):
+        image_proj_model = ImageProjModel(
+            cross_attention_dim=self.pipe.unet.config.cross_attention_dim,
+            clip_embeddings_dim=self.image_encoder.config.projection_dim,
+            clip_extra_context_tokens=self.num_tokens,
+        ).to(self.device, dtype=torch.float16)
+        return image_proj_model
+        
+    def set_ip_adapter(self):
+        unet = self.pipe.unet
+        attn_procs = {}
+        for name in unet.attn_processors.keys():
+            cross_attention_dim = None if name.endswith("attn1.processor") else unet.config.cross_attention_dim
+            if name.startswith("mid_block"):
+                hidden_size = unet.config.block_out_channels[-1]
+            elif name.startswith("up_blocks"):
+                block_id = int(name[len("up_blocks.")])
+                hidden_size = list(reversed(unet.config.block_out_channels))[block_id]
+            elif name.startswith("down_blocks"):
+                block_id = int(name[len("down_blocks.")])
+                hidden_size = unet.config.block_out_channels[block_id]
+            if cross_attention_dim is None:
+                attn_procs[name] = AttnProcessor()
+            else:
+                attn_procs[name] = IPAttnProcessor(hidden_size=hidden_size, cross_attention_dim=cross_attention_dim,
+                scale=1.0).to(self.device, dtype=torch.float16)
+        unet.set_attn_processor(attn_procs)
+        
+    def load_ip_adapter(self):
+        state_dict = torch.load(self.ip_ckpt, map_location="cpu")
+        self.image_proj_model.load_state_dict(state_dict["image_proj"])
+        ip_layers = torch.nn.ModuleList(self.pipe.unet.attn_processors.values())
+        ip_layers.load_state_dict(state_dict["ip_adapter"])
+        
+    @torch.inference_mode()
+    def get_image_embeds(self, pil_image):
+        if isinstance(pil_image, Image.Image):
+            pil_image = [pil_image]
+        clip_image = self.clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
+        clip_image_embeds = self.image_encoder(clip_image.to(self.device, dtype=torch.float16)).image_embeds
+        image_prompt_embeds = self.image_proj_model(clip_image_embeds)
+        uncond_image_prompt_embeds = self.image_proj_model(torch.zeros_like(clip_image_embeds))
+        return image_prompt_embeds, uncond_image_prompt_embeds
+    
+    def set_scale(self, scale):
+        for attn_processor in self.pipe.unet.attn_processors.values():
+            if isinstance(attn_processor, IPAttnProcessor):
+                attn_processor.scale = scale
+        
+    def generate(
+        self,
+        pil_image,
+        prompt=None,
+        negative_prompt=None,
+        scale=1.0,
+        num_samples=4,
+        seed=-1,
+        guidance_scale=7.5,
+        num_inference_steps=30,
+        **kwargs,
+    ):
+        self.set_scale(scale)
+        
+        if isinstance(pil_image, Image.Image):
+            num_prompts = 1
+        else:
+            num_prompts = len(pil_image)
+        
+        if prompt is None:
+            prompt = "best quality, high quality"
+        if negative_prompt is None:
+            negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
+            
+        if not isinstance(prompt, List):
+            prompt = [prompt] * num_prompts
+        if not isinstance(negative_prompt, List):
+            negative_prompt = [negative_prompt] * num_prompts
+        
+        image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
+        bs_embed, seq_len, _ = image_prompt_embeds.shape
+        image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
+        image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+        uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
+        uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+
+        with torch.inference_mode():
+            prompt_embeds = self.pipe._encode_prompt(
+                prompt, device=self.device, num_images_per_prompt=num_samples, do_classifier_free_guidance=True, negative_prompt=negative_prompt)
+            negative_prompt_embeds_, prompt_embeds_ = prompt_embeds.chunk(2)
+            prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
+            negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
+            
+        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        images = self.pipe(
+            prompt_embeds=prompt_embeds,
+            negative_prompt_embeds=negative_prompt_embeds,
+            guidance_scale=guidance_scale,
+            num_inference_steps=num_inference_steps,
+            generator=generator,
+            **kwargs,
+        ).images
+        
+        return images
+    
+    
+class IPAdapterXL(IPAdapter):
+    """SDXL"""
+    
+    def generate(
+        self,
+        pil_image,
+        prompt=None,
+        negative_prompt=None,
+        scale=1.0,
+        num_samples=4,
+        seed=-1,
+        num_inference_steps=30,
+        **kwargs,
+    ):
+        self.set_scale(scale)
+        
+        if isinstance(pil_image, Image.Image):
+            num_prompts = 1
+        else:
+            num_prompts = len(pil_image)
+        
+        if prompt is None:
+            prompt = "best quality, high quality"
+        if negative_prompt is None:
+            negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
+            
+        if not isinstance(prompt, List):
+            prompt = [prompt] * num_prompts
+        if not isinstance(negative_prompt, List):
+            negative_prompt = [negative_prompt] * num_prompts
+        
+        image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
+        bs_embed, seq_len, _ = image_prompt_embeds.shape
+        image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
+        image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+        uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
+        uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+
+        with torch.inference_mode():
+            prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds = self.pipe.encode_prompt(
+                prompt, num_images_per_prompt=num_samples, do_classifier_free_guidance=True, negative_prompt=negative_prompt)
+            prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
+            negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
+            
+        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+        images = self.pipe(
+            prompt_embeds=prompt_embeds,
+            negative_prompt_embeds=negative_prompt_embeds,
+            pooled_prompt_embeds=pooled_prompt_embeds,
+            negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
+            num_inference_steps=num_inference_steps,
+            generator=generator,
+            **kwargs,
+        ).images
+        
+        return images
+    
+    
+class IPAdapterPlus(IPAdapter):
+    """IP-Adapter with fine-grained features"""
+
+    def init_proj(self):
+        image_proj_model = Resampler(
+            dim=self.pipe.unet.config.cross_attention_dim,
+            depth=4,
+            dim_head=64,
+            heads=12,
+            num_queries=self.num_tokens,
+            embedding_dim=self.image_encoder.config.hidden_size,
+            output_dim=self.pipe.unet.config.cross_attention_dim,
+            ff_mult=4
+        ).to(self.device, dtype=torch.float16)
+        return image_proj_model
+    
+    @torch.inference_mode()
+    def get_image_embeds(self, pil_image):
+        if isinstance(pil_image, Image.Image):
+            pil_image = [pil_image]
+        clip_image = self.clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
+        clip_image = clip_image.to(self.device, dtype=torch.float16)
+        clip_image_embeds = self.image_encoder(clip_image, output_hidden_states=True).hidden_states[-2]
+        image_prompt_embeds = self.image_proj_model(clip_image_embeds)
+        uncond_clip_image_embeds = self.image_encoder(torch.zeros_like(clip_image), output_hidden_states=True).hidden_states[-2]
+        uncond_image_prompt_embeds = self.image_proj_model(uncond_clip_image_embeds)
+        return image_prompt_embeds, uncond_image_prompt_embeds
\ No newline at end of file
diff --git a/invokeai/backend/ip_adapter/resampler.py b/invokeai/backend/ip_adapter/resampler.py
new file mode 100644
index 0000000000..4521c8c3e6
--- /dev/null
+++ b/invokeai/backend/ip_adapter/resampler.py
@@ -0,0 +1,121 @@
+# modified from https://github.com/mlfoundations/open_flamingo/blob/main/open_flamingo/src/helpers.py
+import math
+
+import torch
+import torch.nn as nn
+
+
+# FFN
+def FeedForward(dim, mult=4):
+    inner_dim = int(dim * mult)
+    return nn.Sequential(
+        nn.LayerNorm(dim),
+        nn.Linear(dim, inner_dim, bias=False),
+        nn.GELU(),
+        nn.Linear(inner_dim, dim, bias=False),
+    )
+    
+    
+def reshape_tensor(x, heads):
+    bs, length, width = x.shape
+    #(bs, length, width) --> (bs, length, n_heads, dim_per_head)
+    x = x.view(bs, length, heads, -1)
+    # (bs, length, n_heads, dim_per_head) --> (bs, n_heads, length, dim_per_head)
+    x = x.transpose(1, 2)
+    # (bs, n_heads, length, dim_per_head) --> (bs*n_heads, length, dim_per_head)
+    x = x.reshape(bs, heads, length, -1)
+    return x
+
+
+class PerceiverAttention(nn.Module):
+    def __init__(self, *, dim, dim_head=64, heads=8):
+        super().__init__()
+        self.scale = dim_head**-0.5
+        self.dim_head = dim_head
+        self.heads = heads
+        inner_dim = dim_head * heads
+
+        self.norm1 = nn.LayerNorm(dim)
+        self.norm2 = nn.LayerNorm(dim)
+
+        self.to_q = nn.Linear(dim, inner_dim, bias=False)
+        self.to_kv = nn.Linear(dim, inner_dim * 2, bias=False)
+        self.to_out = nn.Linear(inner_dim, dim, bias=False)
+
+
+    def forward(self, x, latents):
+        """
+        Args:
+            x (torch.Tensor): image features
+                shape (b, n1, D)
+            latent (torch.Tensor): latent features
+                shape (b, n2, D)
+        """
+        x = self.norm1(x)
+        latents = self.norm2(latents)
+        
+        b, l, _ = latents.shape
+
+        q = self.to_q(latents)
+        kv_input = torch.cat((x, latents), dim=-2)
+        k, v = self.to_kv(kv_input).chunk(2, dim=-1)
+        
+        q = reshape_tensor(q, self.heads)
+        k = reshape_tensor(k, self.heads)
+        v = reshape_tensor(v, self.heads)
+
+        # attention
+        scale = 1 / math.sqrt(math.sqrt(self.dim_head))
+        weight = (q * scale) @ (k * scale).transpose(-2, -1) # More stable with f16 than dividing afterwards
+        weight = torch.softmax(weight.float(), dim=-1).type(weight.dtype)
+        out = weight @ v
+        
+        out = out.permute(0, 2, 1, 3).reshape(b, l, -1)
+
+        return self.to_out(out)
+
+
+class Resampler(nn.Module):
+    def __init__(
+        self,
+        dim=1024,
+        depth=8,
+        dim_head=64,
+        heads=16,
+        num_queries=8,
+        embedding_dim=768,
+        output_dim=1024,
+        ff_mult=4,
+    ):
+        super().__init__()
+        
+        self.latents = nn.Parameter(torch.randn(1, num_queries, dim) / dim**0.5)
+        
+        self.proj_in = nn.Linear(embedding_dim, dim)
+
+        self.proj_out = nn.Linear(dim, output_dim)
+        self.norm_out = nn.LayerNorm(output_dim)
+        
+        self.layers = nn.ModuleList([])
+        for _ in range(depth):
+            self.layers.append(
+                nn.ModuleList(
+                    [
+                        PerceiverAttention(dim=dim, dim_head=dim_head, heads=heads),
+                        FeedForward(dim=dim, mult=ff_mult),
+                    ]
+                )
+            )
+
+    def forward(self, x):
+        
+        latents = self.latents.repeat(x.size(0), 1, 1)
+        
+        x = self.proj_in(x)
+        
+        for attn, ff in self.layers:
+            latents = attn(x, latents) + latents
+            latents = ff(latents) + latents
+            
+        latents = self.proj_out(latents)
+        return self.norm_out(latents)
\ No newline at end of file
diff --git a/invokeai/backend/ip_adapter/utils.py b/invokeai/backend/ip_adapter/utils.py
new file mode 100644
index 0000000000..10218092ed
--- /dev/null
+++ b/invokeai/backend/ip_adapter/utils.py
@@ -0,0 +1,368 @@
+import inspect
+import warnings
+from typing import Any, Callable, Dict, List, Optional, Tuple, Union
+
+import numpy as np
+import PIL.Image
+import torch
+import torch.nn.functional as F
+from diffusers.utils import is_compiled_module
+from diffusers.pipelines.controlnet.multicontrolnet import MultiControlNetModel
+from diffusers.models import ControlNetModel
+from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
+
+
+
+def is_torch2_available():
+    return hasattr(F, "scaled_dot_product_attention")
+
+
+@torch.no_grad()
+def generate(
+    self,
+    prompt: Union[str, List[str]] = None,
+    image: Union[
+        torch.FloatTensor,
+        PIL.Image.Image,
+        np.ndarray,
+        List[torch.FloatTensor],
+        List[PIL.Image.Image],
+        List[np.ndarray],
+    ] = None,
+    height: Optional[int] = None,
+    width: Optional[int] = None,
+    num_inference_steps: int = 50,
+    guidance_scale: float = 7.5,
+    negative_prompt: Optional[Union[str, List[str]]] = None,
+    num_images_per_prompt: Optional[int] = 1,
+    eta: float = 0.0,
+    generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
+    latents: Optional[torch.FloatTensor] = None,
+    prompt_embeds: Optional[torch.FloatTensor] = None,
+    negative_prompt_embeds: Optional[torch.FloatTensor] = None,
+    output_type: Optional[str] = "pil",
+    return_dict: bool = True,
+    callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
+    callback_steps: int = 1,
+    cross_attention_kwargs: Optional[Dict[str, Any]] = None,
+    controlnet_conditioning_scale: Union[float, List[float]] = 1.0,
+    guess_mode: bool = False,
+    control_guidance_start: Union[float, List[float]] = 0.0,
+    control_guidance_end: Union[float, List[float]] = 1.0,
+):
+    r"""
+    Function invoked when calling the pipeline for generation.
+
+    Args:
+        prompt (`str` or `List[str]`, *optional*):
+            The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`.
+            instead.
+        image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, `List[np.ndarray]`,:
+                `List[List[torch.FloatTensor]]`, `List[List[np.ndarray]]` or `List[List[PIL.Image.Image]]`):
+            The ControlNet input condition. ControlNet uses this input condition to generate guidance to Unet. If
+            the type is specified as `Torch.FloatTensor`, it is passed to ControlNet as is. `PIL.Image.Image` can
+            also be accepted as an image. The dimensions of the output image defaults to `image`'s dimensions. If
+            height and/or width are passed, `image` is resized according to them. If multiple ControlNets are
+            specified in init, images must be passed as a list such that each element of the list can be correctly
+            batched for input to a single controlnet.
+        height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
+            The height in pixels of the generated image.
+        width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
+            The width in pixels of the generated image.
+        num_inference_steps (`int`, *optional*, defaults to 50):
+            The number of denoising steps. More denoising steps usually lead to a higher quality image at the
+            expense of slower inference.
+        guidance_scale (`float`, *optional*, defaults to 7.5):
+            Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
+            `guidance_scale` is defined as `w` of equation 2. of [Imagen
+            Paper](https://arxiv.org/pdf/2205.11487.pdf). Guidance scale is enabled by setting `guidance_scale >
+            1`. Higher guidance scale encourages to generate images that are closely linked to the text `prompt`,
+            usually at the expense of lower image quality.
+        negative_prompt (`str` or `List[str]`, *optional*):
+            The prompt or prompts not to guide the image generation. If not defined, one has to pass
+            `negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `guidance_scale` is
+            less than `1`).
+        num_images_per_prompt (`int`, *optional*, defaults to 1):
+            The number of images to generate per prompt.
+        eta (`float`, *optional*, defaults to 0.0):
+            Corresponds to parameter eta (η) in the DDIM paper: https://arxiv.org/abs/2010.02502. Only applies to
+            [`schedulers.DDIMScheduler`], will be ignored for others.
+        generator (`torch.Generator` or `List[torch.Generator]`, *optional*):
+            One or a list of [torch generator(s)](https://pytorch.org/docs/stable/generated/torch.Generator.html)
+            to make generation deterministic.
+        latents (`torch.FloatTensor`, *optional*):
+            Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image
+            generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
+            tensor will ge generated by sampling using the supplied random `generator`.
+        prompt_embeds (`torch.FloatTensor`, *optional*):
+            Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
+            provided, text embeddings will be generated from `prompt` input argument.
+        negative_prompt_embeds (`torch.FloatTensor`, *optional*):
+            Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
+            weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
+            argument.
+        output_type (`str`, *optional*, defaults to `"pil"`):
+            The output format of the generate image. Choose between
+            [PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
+        return_dict (`bool`, *optional*, defaults to `True`):
+            Whether or not to return a [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] instead of a
+            plain tuple.
+        callback (`Callable`, *optional*):
+            A function that will be called every `callback_steps` steps during inference. The function will be
+            called with the following arguments: `callback(step: int, timestep: int, latents: torch.FloatTensor)`.
+        callback_steps (`int`, *optional*, defaults to 1):
+            The frequency at which the `callback` function will be called. If not specified, the callback will be
+            called at every step.
+        cross_attention_kwargs (`dict`, *optional*):
+            A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
+            `self.processor` in
+            [diffusers.models.attention_processor](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py).
+        controlnet_conditioning_scale (`float` or `List[float]`, *optional*, defaults to 1.0):
+            The outputs of the controlnet are multiplied by `controlnet_conditioning_scale` before they are added
+            to the residual in the original unet. If multiple ControlNets are specified in init, you can set the
+            corresponding scale as a list.
+        guess_mode (`bool`, *optional*, defaults to `False`):
+            In this mode, the ControlNet encoder will try best to recognize the content of the input image even if
+            you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended.
+        control_guidance_start (`float` or `List[float]`, *optional*, defaults to 0.0):
+            The percentage of total steps at which the controlnet starts applying.
+        control_guidance_end (`float` or `List[float]`, *optional*, defaults to 1.0):
+            The percentage of total steps at which the controlnet stops applying.
+
+    Examples:
+
+    Returns:
+        [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] or `tuple`:
+        [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] if `return_dict` is True, otherwise a `tuple.
+        When returning a tuple, the first element is a list with the generated images, and the second element is a
+        list of `bool`s denoting whether the corresponding generated image likely represents "not-safe-for-work"
+        (nsfw) content, according to the `safety_checker`.
+    """
+    controlnet = self.controlnet._orig_mod if is_compiled_module(self.controlnet) else self.controlnet
+
+    # align format for control guidance
+    if not isinstance(control_guidance_start, list) and isinstance(control_guidance_end, list):
+        control_guidance_start = len(control_guidance_end) * [control_guidance_start]
+    elif not isinstance(control_guidance_end, list) and isinstance(control_guidance_start, list):
+        control_guidance_end = len(control_guidance_start) * [control_guidance_end]
+    elif not isinstance(control_guidance_start, list) and not isinstance(control_guidance_end, list):
+        mult = len(controlnet.nets) if isinstance(controlnet, MultiControlNetModel) else 1
+        control_guidance_start, control_guidance_end = mult * [control_guidance_start], mult * [
+            control_guidance_end
+        ]
+
+    # 1. Check inputs. Raise error if not correct
+    self.check_inputs(
+        prompt,
+        image,
+        callback_steps,
+        negative_prompt,
+        prompt_embeds,
+        negative_prompt_embeds,
+        controlnet_conditioning_scale,
+        control_guidance_start,
+        control_guidance_end,
+    )
+
+    # 2. Define call parameters
+    if prompt is not None and isinstance(prompt, str):
+        batch_size = 1
+    elif prompt is not None and isinstance(prompt, list):
+        batch_size = len(prompt)
+    else:
+        batch_size = prompt_embeds.shape[0]
+
+    device = self._execution_device
+    # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2)
+    # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1`
+    # corresponds to doing no classifier free guidance.
+    do_classifier_free_guidance = guidance_scale > 1.0
+
+    if isinstance(controlnet, MultiControlNetModel) and isinstance(controlnet_conditioning_scale, float):
+        controlnet_conditioning_scale = [controlnet_conditioning_scale] * len(controlnet.nets)
+
+    global_pool_conditions = (
+        controlnet.config.global_pool_conditions
+        if isinstance(controlnet, ControlNetModel)
+        else controlnet.nets[0].config.global_pool_conditions
+    )
+    guess_mode = guess_mode or global_pool_conditions
+
+    # 3. Encode input prompt
+    text_encoder_lora_scale = (
+        cross_attention_kwargs.get("scale", None) if cross_attention_kwargs is not None else None
+    )
+    prompt_embeds = self._encode_prompt(
+        prompt,
+        device,
+        num_images_per_prompt,
+        do_classifier_free_guidance,
+        negative_prompt,
+        prompt_embeds=prompt_embeds,
+        negative_prompt_embeds=negative_prompt_embeds,
+        lora_scale=text_encoder_lora_scale,
+    )
+
+    # 4. Prepare image
+    if isinstance(controlnet, ControlNetModel):
+        image = self.prepare_image(
+            image=image,
+            width=width,
+            height=height,
+            batch_size=batch_size * num_images_per_prompt,
+            num_images_per_prompt=num_images_per_prompt,
+            device=device,
+            dtype=controlnet.dtype,
+            do_classifier_free_guidance=do_classifier_free_guidance,
+            guess_mode=guess_mode,
+        )
+        height, width = image.shape[-2:]
+    elif isinstance(controlnet, MultiControlNetModel):
+        images = []
+
+        for image_ in image:
+            image_ = self.prepare_image(
+                image=image_,
+                width=width,
+                height=height,
+                batch_size=batch_size * num_images_per_prompt,
+                num_images_per_prompt=num_images_per_prompt,
+                device=device,
+                dtype=controlnet.dtype,
+                do_classifier_free_guidance=do_classifier_free_guidance,
+                guess_mode=guess_mode,
+            )
+
+            images.append(image_)
+
+        image = images
+        height, width = image[0].shape[-2:]
+    else:
+        assert False
+
+    # 5. Prepare timesteps
+    self.scheduler.set_timesteps(num_inference_steps, device=device)
+    timesteps = self.scheduler.timesteps
+
+    # 6. Prepare latent variables
+    num_channels_latents = self.unet.config.in_channels
+    latents = self.prepare_latents(
+        batch_size * num_images_per_prompt,
+        num_channels_latents,
+        height,
+        width,
+        prompt_embeds.dtype,
+        device,
+        generator,
+        latents,
+    )
+
+    # 7. Prepare extra step kwargs. TODO: Logic should ideally just be moved out of the pipeline
+    extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
+
+    # 7.1 Create tensor stating which controlnets to keep
+    controlnet_keep = []
+    for i in range(len(timesteps)):
+        keeps = [
+            1.0 - float(i / len(timesteps) < s or (i + 1) / len(timesteps) > e)
+            for s, e in zip(control_guidance_start, control_guidance_end)
+        ]
+        controlnet_keep.append(keeps[0] if isinstance(controlnet, ControlNetModel) else keeps)
+
+    # 8. Denoising loop
+    num_warmup_steps = len(timesteps) - num_inference_steps * self.scheduler.order
+    with self.progress_bar(total=num_inference_steps) as progress_bar:
+        for i, t in enumerate(timesteps):
+            # expand the latents if we are doing classifier free guidance
+            latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
+            latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
+
+            # controlnet(s) inference
+            if guess_mode and do_classifier_free_guidance:
+                # Infer ControlNet only for the conditional batch.
+                control_model_input = latents
+                control_model_input = self.scheduler.scale_model_input(control_model_input, t)
+                controlnet_prompt_embeds = prompt_embeds[:, :77, :].chunk(2)[1]
+            else:
+                control_model_input = latent_model_input
+                controlnet_prompt_embeds = prompt_embeds[:, :77, :]
+
+            if isinstance(controlnet_keep[i], list):
+                cond_scale = [c * s for c, s in zip(controlnet_conditioning_scale, controlnet_keep[i])]
+            else:
+                controlnet_cond_scale = controlnet_conditioning_scale
+                if isinstance(controlnet_cond_scale, list):
+                    controlnet_cond_scale = controlnet_cond_scale[0]
+                cond_scale = controlnet_cond_scale * controlnet_keep[i]
+
+            down_block_res_samples, mid_block_res_sample = self.controlnet(
+                control_model_input,
+                t,
+                encoder_hidden_states=controlnet_prompt_embeds,
+                controlnet_cond=image,
+                conditioning_scale=cond_scale,
+                guess_mode=guess_mode,
+                return_dict=False,
+            )
+
+            if guess_mode and do_classifier_free_guidance:
+                # Infered ControlNet only for the conditional batch.
+                # To apply the output of ControlNet to both the unconditional and conditional batches,
+                # add 0 to the unconditional batch to keep it unchanged.
+                down_block_res_samples = [torch.cat([torch.zeros_like(d), d]) for d in down_block_res_samples]
+                mid_block_res_sample = torch.cat([torch.zeros_like(mid_block_res_sample), mid_block_res_sample])
+
+            # predict the noise residual
+            noise_pred = self.unet(
+                latent_model_input,
+                t,
+                encoder_hidden_states=prompt_embeds,
+                cross_attention_kwargs=cross_attention_kwargs,
+                down_block_additional_residuals=down_block_res_samples,
+                mid_block_additional_residual=mid_block_res_sample,
+                return_dict=False,
+            )[0]
+
+            # perform guidance
+            if do_classifier_free_guidance:
+                noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
+                noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
+
+            # compute the previous noisy sample x_t -> x_t-1
+            latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
+
+            # call the callback, if provided
+            if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):
+                progress_bar.update()
+                if callback is not None and i % callback_steps == 0:
+                    callback(i, t, latents)
+
+    # If we do sequential model offloading, let's offload unet and controlnet
+    # manually for max memory savings
+    if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
+        self.unet.to("cpu")
+        self.controlnet.to("cpu")
+        torch.cuda.empty_cache()
+
+    if not output_type == "latent":
+        image = self.vae.decode(latents / self.vae.config.scaling_factor, return_dict=False)[0]
+        image, has_nsfw_concept = self.run_safety_checker(image, device, prompt_embeds.dtype)
+    else:
+        image = latents
+        has_nsfw_concept = None
+
+    if has_nsfw_concept is None:
+        do_denormalize = [True] * image.shape[0]
+    else:
+        do_denormalize = [not has_nsfw for has_nsfw in has_nsfw_concept]
+
+    image = self.image_processor.postprocess(image, output_type=output_type, do_denormalize=do_denormalize)
+
+    # Offload last model to CPU
+    if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
+        self.final_offload_hook.offload()
+
+    if not return_dict:
+        return (image, has_nsfw_concept)
+
+    return StableDiffusionPipelineOutput(images=image, nsfw_content_detected=has_nsfw_concept)
\ No newline at end of file

From 8c1390166f2e78c89ba43ed3b330f0a4a0f0e030 Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Tue, 29 Aug 2023 06:29:05 -0700
Subject: [PATCH 011/265] Modifying code from
 https://github.com/tencent-ailab/IP-Adapter. Also adding license notice at
 top.

---
 .../backend/ip_adapter/attention_processor.py | 34 ++++---
 invokeai/backend/ip_adapter/ip_adapter.py     | 93 +++++++++++--------
 invokeai/backend/ip_adapter/resampler.py      | 30 +++---
 invokeai/backend/ip_adapter/utils.py          |  5 +-
 4 files changed, 94 insertions(+), 68 deletions(-)

diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
index 4754be00e0..de9b367b7d 100644
--- a/invokeai/backend/ip_adapter/attention_processor.py
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -1,3 +1,7 @@
+# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
+#   and modified as needed
+
+# tencent-ailab comment:
 # modified from https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py
 import torch
 import torch.nn as nn
@@ -74,8 +78,8 @@ class AttnProcessor(nn.Module):
         hidden_states = hidden_states / attn.rescale_output_factor
 
         return hidden_states
-    
-    
+
+
 class IPAttnProcessor(nn.Module):
     r"""
     Attention processor for IP-Adapater.
@@ -134,7 +138,7 @@ class IPAttnProcessor(nn.Module):
             encoder_hidden_states = hidden_states
         elif attn.norm_cross:
             encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-            
+
         # split hidden states
         encoder_hidden_states, ip_hidden_states = encoder_hidden_states[:, :self.text_context_len, :], encoder_hidden_states[:, self.text_context_len:, :]
 
@@ -148,18 +152,18 @@ class IPAttnProcessor(nn.Module):
         attention_probs = attn.get_attention_scores(query, key, attention_mask)
         hidden_states = torch.bmm(attention_probs, value)
         hidden_states = attn.batch_to_head_dim(hidden_states)
-        
+
         # for ip-adapter
         ip_key = self.to_k_ip(ip_hidden_states)
         ip_value = self.to_v_ip(ip_hidden_states)
-        
+
         ip_key = attn.head_to_batch_dim(ip_key)
         ip_value = attn.head_to_batch_dim(ip_value)
-        
+
         ip_attention_probs = attn.get_attention_scores(query, ip_key, None)
         ip_hidden_states = torch.bmm(ip_attention_probs, ip_value)
         ip_hidden_states = attn.batch_to_head_dim(ip_hidden_states)
-        
+
         hidden_states = hidden_states + self.scale * ip_hidden_states
 
         # linear proj
@@ -176,8 +180,8 @@ class IPAttnProcessor(nn.Module):
         hidden_states = hidden_states / attn.rescale_output_factor
 
         return hidden_states
-    
-    
+
+
 class AttnProcessor2_0(torch.nn.Module):
     r"""
     Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0).
@@ -264,8 +268,8 @@ class AttnProcessor2_0(torch.nn.Module):
         hidden_states = hidden_states / attn.rescale_output_factor
 
         return hidden_states
-    
-    
+
+
 class IPAttnProcessor2_0(torch.nn.Module):
     r"""
     Attention processor for IP-Adapater for PyTorch 2.0.
@@ -355,11 +359,11 @@ class IPAttnProcessor2_0(torch.nn.Module):
 
         hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
         hidden_states = hidden_states.to(query.dtype)
-        
+
         # for ip-adapter
         ip_key = self.to_k_ip(ip_hidden_states)
         ip_value = self.to_v_ip(ip_hidden_states)
-        
+
         ip_key = ip_key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
         ip_value = ip_value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
 
@@ -368,10 +372,10 @@ class IPAttnProcessor2_0(torch.nn.Module):
         ip_hidden_states = F.scaled_dot_product_attention(
             query, ip_key, ip_value, attn_mask=None, dropout_p=0.0, is_causal=False
         )
-        
+
         ip_hidden_states = ip_hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
         ip_hidden_states = ip_hidden_states.to(query.dtype)
-        
+
         hidden_states = hidden_states + self.scale * ip_hidden_states
 
         # linear proj
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 5d5d0af71b..ddec16eebc 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -1,3 +1,6 @@
+# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
+#   and modified as needed
+
 import os
 from typing import List
 
@@ -6,11 +9,14 @@ from diffusers import StableDiffusionPipeline
 from transformers import CLIPVisionModelWithProjection, CLIPImageProcessor
 from PIL import Image
 
-from .utils import is_torch2_available
-if is_torch2_available:
-    from .attention_processor import IPAttnProcessor2_0 as IPAttnProcessor, AttnProcessor2_0 as AttnProcessor
-else:
-    from .attention_processor import IPAttnProcessor, AttnProcessor
+# FIXME: Getting errors when trying to use PyTorch 2.0 versions of IPAttnProcessor and AttnProcessor
+#   so for now falling back to the default versions
+# from .utils import is_torch2_available
+# if is_torch2_available:
+#     from .attention_processor import IPAttnProcessor2_0 as IPAttnProcessor, AttnProcessor2_0 as AttnProcessor
+# else:
+#     from .attention_processor import IPAttnProcessor, AttnProcessor
+from .attention_processor import IPAttnProcessor, AttnProcessor
 from .resampler import Resampler
 
 
@@ -18,12 +24,12 @@ class ImageProjModel(torch.nn.Module):
     """Projection Model"""
     def __init__(self, cross_attention_dim=1024, clip_embeddings_dim=1024, clip_extra_context_tokens=4):
         super().__init__()
-        
+
         self.cross_attention_dim = cross_attention_dim
         self.clip_extra_context_tokens = clip_extra_context_tokens
         self.proj = torch.nn.Linear(clip_embeddings_dim, self.clip_extra_context_tokens * cross_attention_dim)
         self.norm = torch.nn.LayerNorm(cross_attention_dim)
-        
+
     def forward(self, image_embeds):
         embeds = image_embeds
         clip_extra_context_tokens = self.proj(embeds).reshape(-1, self.clip_extra_context_tokens, self.cross_attention_dim)
@@ -32,25 +38,29 @@ class ImageProjModel(torch.nn.Module):
 
 
 class IPAdapter:
-    
+
     def __init__(self, sd_pipe, image_encoder_path, ip_ckpt, device, num_tokens=4):
-        
+
         self.device = device
         self.image_encoder_path = image_encoder_path
         self.ip_ckpt = ip_ckpt
         self.num_tokens = num_tokens
-        
-        self.pipe = sd_pipe.to(self.device)
+
+        # FIXME:
+        #  InvokeAI StableDiffusionPipeline has a to() method that isn't meant to be used
+        #     so for now assuming that pipeline is already on the correct device
+        # self.pipe = sd_pipe.to(self.device)
+        self.pipe = sd_pipe
         self.set_ip_adapter()
-        
+
         # load image encoder
         self.image_encoder = CLIPVisionModelWithProjection.from_pretrained(self.image_encoder_path).to(self.device, dtype=torch.float16)
         self.clip_image_processor = CLIPImageProcessor()
         # image proj model
         self.image_proj_model = self.init_proj()
-        
+
         self.load_ip_adapter()
-        
+
     def init_proj(self):
         image_proj_model = ImageProjModel(
             cross_attention_dim=self.pipe.unet.config.cross_attention_dim,
@@ -58,10 +68,12 @@ class IPAdapter:
             clip_extra_context_tokens=self.num_tokens,
         ).to(self.device, dtype=torch.float16)
         return image_proj_model
-        
+
     def set_ip_adapter(self):
         unet = self.pipe.unet
         attn_procs = {}
+        print("Original UNet Attn Processors count:", len(unet.attn_processors))
+        print(unet.attn_processors.keys())
         for name in unet.attn_processors.keys():
             cross_attention_dim = None if name.endswith("attn1.processor") else unet.config.cross_attention_dim
             if name.startswith("mid_block"):
@@ -75,16 +87,19 @@ class IPAdapter:
             if cross_attention_dim is None:
                 attn_procs[name] = AttnProcessor()
             else:
+                print("swapping in IPAttnProcessor for", name)
                 attn_procs[name] = IPAttnProcessor(hidden_size=hidden_size, cross_attention_dim=cross_attention_dim,
                 scale=1.0).to(self.device, dtype=torch.float16)
         unet.set_attn_processor(attn_procs)
-        
+        print("Modified UNet Attn Processors count:", len(unet.attn_processors))
+        print(unet.attn_processors.keys())
+
     def load_ip_adapter(self):
         state_dict = torch.load(self.ip_ckpt, map_location="cpu")
         self.image_proj_model.load_state_dict(state_dict["image_proj"])
         ip_layers = torch.nn.ModuleList(self.pipe.unet.attn_processors.values())
         ip_layers.load_state_dict(state_dict["ip_adapter"])
-        
+
     @torch.inference_mode()
     def get_image_embeds(self, pil_image):
         if isinstance(pil_image, Image.Image):
@@ -94,12 +109,14 @@ class IPAdapter:
         image_prompt_embeds = self.image_proj_model(clip_image_embeds)
         uncond_image_prompt_embeds = self.image_proj_model(torch.zeros_like(clip_image_embeds))
         return image_prompt_embeds, uncond_image_prompt_embeds
-    
+
     def set_scale(self, scale):
         for attn_processor in self.pipe.unet.attn_processors.values():
             if isinstance(attn_processor, IPAttnProcessor):
                 attn_processor.scale = scale
-        
+
+    # IPAdapter.generate() method is not used for InvokeAI
+    #        left here for reference
     def generate(
         self,
         pil_image,
@@ -113,22 +130,22 @@ class IPAdapter:
         **kwargs,
     ):
         self.set_scale(scale)
-        
+
         if isinstance(pil_image, Image.Image):
             num_prompts = 1
         else:
             num_prompts = len(pil_image)
-        
+
         if prompt is None:
             prompt = "best quality, high quality"
         if negative_prompt is None:
             negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
-            
+
         if not isinstance(prompt, List):
             prompt = [prompt] * num_prompts
         if not isinstance(negative_prompt, List):
             negative_prompt = [negative_prompt] * num_prompts
-        
+
         image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
         bs_embed, seq_len, _ = image_prompt_embeds.shape
         image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
@@ -142,7 +159,7 @@ class IPAdapter:
             negative_prompt_embeds_, prompt_embeds_ = prompt_embeds.chunk(2)
             prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
-            
+
         generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
         images = self.pipe(
             prompt_embeds=prompt_embeds,
@@ -152,13 +169,13 @@ class IPAdapter:
             generator=generator,
             **kwargs,
         ).images
-        
+
         return images
-    
-    
+
+
 class IPAdapterXL(IPAdapter):
     """SDXL"""
-    
+
     def generate(
         self,
         pil_image,
@@ -171,22 +188,22 @@ class IPAdapterXL(IPAdapter):
         **kwargs,
     ):
         self.set_scale(scale)
-        
+
         if isinstance(pil_image, Image.Image):
             num_prompts = 1
         else:
             num_prompts = len(pil_image)
-        
+
         if prompt is None:
             prompt = "best quality, high quality"
         if negative_prompt is None:
             negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
-            
+
         if not isinstance(prompt, List):
             prompt = [prompt] * num_prompts
         if not isinstance(negative_prompt, List):
             negative_prompt = [negative_prompt] * num_prompts
-        
+
         image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
         bs_embed, seq_len, _ = image_prompt_embeds.shape
         image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
@@ -199,7 +216,7 @@ class IPAdapterXL(IPAdapter):
                 prompt, num_images_per_prompt=num_samples, do_classifier_free_guidance=True, negative_prompt=negative_prompt)
             prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
-            
+
         generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
         images = self.pipe(
             prompt_embeds=prompt_embeds,
@@ -210,10 +227,10 @@ class IPAdapterXL(IPAdapter):
             generator=generator,
             **kwargs,
         ).images
-        
+
         return images
-    
-    
+
+
 class IPAdapterPlus(IPAdapter):
     """IP-Adapter with fine-grained features"""
 
@@ -229,7 +246,7 @@ class IPAdapterPlus(IPAdapter):
             ff_mult=4
         ).to(self.device, dtype=torch.float16)
         return image_proj_model
-    
+
     @torch.inference_mode()
     def get_image_embeds(self, pil_image):
         if isinstance(pil_image, Image.Image):
@@ -240,4 +257,4 @@ class IPAdapterPlus(IPAdapter):
         image_prompt_embeds = self.image_proj_model(clip_image_embeds)
         uncond_clip_image_embeds = self.image_encoder(torch.zeros_like(clip_image), output_hidden_states=True).hidden_states[-2]
         uncond_image_prompt_embeds = self.image_proj_model(uncond_clip_image_embeds)
-        return image_prompt_embeds, uncond_image_prompt_embeds
\ No newline at end of file
+        return image_prompt_embeds, uncond_image_prompt_embeds
diff --git a/invokeai/backend/ip_adapter/resampler.py b/invokeai/backend/ip_adapter/resampler.py
index 4521c8c3e6..327ef7c140 100644
--- a/invokeai/backend/ip_adapter/resampler.py
+++ b/invokeai/backend/ip_adapter/resampler.py
@@ -1,4 +1,6 @@
-# modified from https://github.com/mlfoundations/open_flamingo/blob/main/open_flamingo/src/helpers.py
+# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
+
+# tencent ailab comment: modified from https://github.com/mlfoundations/open_flamingo/blob/main/open_flamingo/src/helpers.py
 import math
 
 import torch
@@ -14,8 +16,8 @@ def FeedForward(dim, mult=4):
         nn.GELU(),
         nn.Linear(inner_dim, dim, bias=False),
     )
-    
-    
+
+
 def reshape_tensor(x, heads):
     bs, length, width = x.shape
     #(bs, length, width) --> (bs, length, n_heads, dim_per_head)
@@ -53,13 +55,13 @@ class PerceiverAttention(nn.Module):
         """
         x = self.norm1(x)
         latents = self.norm2(latents)
-        
+
         b, l, _ = latents.shape
 
         q = self.to_q(latents)
         kv_input = torch.cat((x, latents), dim=-2)
         k, v = self.to_kv(kv_input).chunk(2, dim=-1)
-        
+
         q = reshape_tensor(q, self.heads)
         k = reshape_tensor(k, self.heads)
         v = reshape_tensor(v, self.heads)
@@ -69,7 +71,7 @@ class PerceiverAttention(nn.Module):
         weight = (q * scale) @ (k * scale).transpose(-2, -1) # More stable with f16 than dividing afterwards
         weight = torch.softmax(weight.float(), dim=-1).type(weight.dtype)
         out = weight @ v
-        
+
         out = out.permute(0, 2, 1, 3).reshape(b, l, -1)
 
         return self.to_out(out)
@@ -88,14 +90,14 @@ class Resampler(nn.Module):
         ff_mult=4,
     ):
         super().__init__()
-        
+
         self.latents = nn.Parameter(torch.randn(1, num_queries, dim) / dim**0.5)
-        
+
         self.proj_in = nn.Linear(embedding_dim, dim)
 
         self.proj_out = nn.Linear(dim, output_dim)
         self.norm_out = nn.LayerNorm(output_dim)
-        
+
         self.layers = nn.ModuleList([])
         for _ in range(depth):
             self.layers.append(
@@ -108,14 +110,14 @@ class Resampler(nn.Module):
             )
 
     def forward(self, x):
-        
+
         latents = self.latents.repeat(x.size(0), 1, 1)
-        
+
         x = self.proj_in(x)
-        
+
         for attn, ff in self.layers:
             latents = attn(x, latents) + latents
             latents = ff(latents) + latents
-            
+
         latents = self.proj_out(latents)
-        return self.norm_out(latents)
\ No newline at end of file
+        return self.norm_out(latents)
diff --git a/invokeai/backend/ip_adapter/utils.py b/invokeai/backend/ip_adapter/utils.py
index 10218092ed..e120a9e2b4 100644
--- a/invokeai/backend/ip_adapter/utils.py
+++ b/invokeai/backend/ip_adapter/utils.py
@@ -1,3 +1,6 @@
+# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
+#   and modified as needed
+
 import inspect
 import warnings
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
@@ -365,4 +368,4 @@ def generate(
     if not return_dict:
         return (image, has_nsfw_concept)
 
-    return StableDiffusionPipelineOutput(images=image, nsfw_content_detected=has_nsfw_concept)
\ No newline at end of file
+    return StableDiffusionPipelineOutput(images=image, nsfw_content_detected=has_nsfw_concept)

From 9f86cfa47179fcdf2dab977c55a885b64687371b Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Tue, 29 Aug 2023 06:31:24 -0700
Subject: [PATCH 012/265] Working POC of IP-Adapters. Not fully nodified yet.

---
 .../stable_diffusion/diffusers_pipeline.py    | 54 +++++++++++++++++++
 1 file changed, 54 insertions(+)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index d88313f455..e9416c8057 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -34,6 +34,7 @@ from .diffusion import (
     BasicConditioningInfo,
 )
 from ..util import normalize_device, auto_detect_slice_size
+from invokeai.backend.ip_adapter.ip_adapter import IPAdapter
 
 
 @dataclass
@@ -357,6 +358,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         additional_guidance: List[Callable] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
         control_data: List[ControlNetData] = None,
+        ip_adapter_image: Optional[PIL.Image] = None,
         mask: Optional[torch.Tensor] = None,
         masked_latents: Optional[torch.Tensor] = None,
         seed: Optional[int] = None,
@@ -408,6 +410,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 conditioning_data,
                 additional_guidance=additional_guidance,
                 control_data=control_data,
+                ip_adapter_image=ip_adapter_image,
                 callback=callback,
             )
         finally:
@@ -427,8 +430,10 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         *,
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
+        ip_adapter_image: Optional[PIL.Image] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
     ):
+
         self._adjust_memory_efficient_attention(latents)
         if additional_guidance is None:
             additional_guidance = []
@@ -439,6 +444,55 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if timesteps.shape[0] == 0:
             return latents, attention_map_saver
 
+        print("ip_adapter_image: ", type(ip_adapter_image))
+        if ip_adapter_image is not None:
+            # initialize IPAdapter
+            print("   width:", ip_adapter_image.width, " height:", ip_adapter_image.height)
+            clip_image_encoder_path = "ip_adapter_models_sd_1.5/image_encoder/"
+            ip_adapter_model_path = "ip_adapter_models_sd_1.5/ip-adapter_sd15.bin"
+            # FIXME:
+            #   WARNING!
+            #   IPAdapter constructor modifies UNet model in-place
+            #   Adds additional cross-attention layers to UNet model for image embedding
+            #   need to figure out how to only do this if UNet hasn't already been modified by prior IPAdapter
+            #   and how to undo if ip_adapter_image is removed
+            #   use existing model management context etc?
+            #
+            ip_adapter = IPAdapter(self,                    # IPAdapter first arg is StableDiffusionPipeline
+                                   clip_image_encoder_path, # hardwiring to manually downloaded dir for first pass
+                                   ip_adapter_model_path,   # hardwiring to manually downloaded loc for first pass
+                                   "cuda")                  # hardwiring CUDA GPU for first pass
+            # IP-Adapter ==> add additional cross-attention layers to UNet model here?
+            print("ip_adapter:", ip_adapter)
+
+            # get image embedding from CLIP and ImageProjModel
+            print("getting image embeddings from IP-Adapter...")
+            num_samples = 1   # hardwiring for first pass
+            image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter.get_image_embeds(ip_adapter_image)
+            print("image cond   embeds shape:", image_prompt_embeds.shape)
+            print("image uncond embeds shape:", uncond_image_prompt_embeds.shape)
+            bs_embed, seq_len, _ = image_prompt_embeds.shape
+            image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
+            image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+            uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
+            uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+            print("image cond   embeds shape:", image_prompt_embeds.shape)
+            print("image uncond embeds shape:", uncond_image_prompt_embeds.shape)
+
+            # IP-Adapter: run IP-Adapter model here?
+            # and add output as additional cross-attention layers
+            text_prompt_embeds = conditioning_data.text_embeddings.embeds
+            uncond_text_prompt_embeds = conditioning_data.unconditioned_embeddings.embeds
+            print("text embeds shape:", text_prompt_embeds.shape)
+            concat_prompt_embeds = torch.cat([text_prompt_embeds, image_prompt_embeds], dim=1)
+            concat_uncond_prompt_embeds = torch.cat([uncond_text_prompt_embeds, uncond_image_prompt_embeds], dim=1)
+            print("concat embeds shape:", concat_prompt_embeds.shape)
+            conditioning_data.text_embeddings.embeds = concat_prompt_embeds
+            conditioning_data.unconditioned_embeddings.embeds = concat_uncond_prompt_embeds
+        else:
+            image_prompt_embeds = None
+            uncond_image_prompt_embeds = None
+
         extra_conditioning_info = conditioning_data.extra
         with self.invokeai_diffuser.custom_attention_context(
             self.invokeai_diffuser.model,

From f2cd9e9ae2b8c857f9dcdcc7af19cf0007a7589a Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Tue, 29 Aug 2023 06:32:48 -0700
Subject: [PATCH 013/265] Working POC for IP-Adapters. Not fully nodified yet,
 lots of caveats, hardwired model paths, etc.

---
 invokeai/app/invocations/latent.py | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 8585fbe531..3c5552dfa3 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -63,9 +63,10 @@ from .compel import ConditioningField
 from .controlnet_image_processors import ControlField
 from .model import ModelInfo, UNetField, VaeField
 
-DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
 
+DEFAULT_PRECISION = choose_precision(choose_torch_device())
+
 SAMPLER_NAME_VALUES = Literal[tuple(list(SCHEDULER_MAP.keys()))]
 
 
@@ -215,6 +216,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
         default=None,
         description=FieldDescriptions.mask,
     )
+    ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection)
 
     @validator("cfg_scale")
     def ge_one(cls, v):
@@ -495,6 +497,13 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 pipeline = self.create_pipeline(unet, scheduler)
                 conditioning_data = self.get_conditioning_data(context, scheduler, unet, seed)
 
+                if self.ip_adapter_image is not None:
+                    print("ip_adapter_image:", self.ip_adapter_image)
+                    unwrapped_ip_adapter_image = context.services.images.get_pil_image(self.ip_adapter_image.image_name)
+                    print("unwrapped ip_adapter_image:", unwrapped_ip_adapter_image)
+                else:
+                    unwrapped_ip_adapter_image = None
+
                 control_data = self.prep_control_data(
                     model=pipeline,
                     context=context,
@@ -523,7 +532,8 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     masked_latents=masked_latents,
                     num_inference_steps=num_inference_steps,
                     conditioning_data=conditioning_data,
-                    control_data=control_data,  # list[ControlNetData]
+                    control_data=control_data,  # list[ControlNetData],
+                    ip_adapter_image=unwrapped_ip_adapter_image,
                     callback=step_callback,
                 )
 

From 5a9993772dd424dca769f0fbe8db87b330c85fb1 Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Tue, 29 Aug 2023 10:42:42 -0700
Subject: [PATCH 014/265] Added ip_adapter_strength parameter to adjust
 weighting of IP-Adapter's added cross-attention layers

---
 invokeai/app/invocations/latent.py                      | 5 ++++-
 invokeai/backend/stable_diffusion/diffusers_pipeline.py | 4 ++++
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 3c5552dfa3..acf5c70984 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -216,7 +216,9 @@ class DenoiseLatentsInvocation(BaseInvocation):
         default=None,
         description=FieldDescriptions.mask,
     )
-    ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection)
+    ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection, title="IP Adapter Image", ui_order=6)
+    ip_adapter_strength: float = InputField(default=1.0, ge=0, le=2, ui_type=UIType.Float,
+                                            title="IP Adapter Strength", ui_order=7)
 
     @validator("cfg_scale")
     def ge_one(cls, v):
@@ -534,6 +536,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     conditioning_data=conditioning_data,
                     control_data=control_data,  # list[ControlNetData],
                     ip_adapter_image=unwrapped_ip_adapter_image,
+                    ip_adapter_strength=self.ip_adapter_strength,
                     callback=step_callback,
                 )
 
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index e9416c8057..edada58c8a 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -359,6 +359,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         callback: Callable[[PipelineIntermediateState], None] = None,
         control_data: List[ControlNetData] = None,
         ip_adapter_image: Optional[PIL.Image] = None,
+        ip_adapter_strength: float = 1.0,
         mask: Optional[torch.Tensor] = None,
         masked_latents: Optional[torch.Tensor] = None,
         seed: Optional[int] = None,
@@ -411,6 +412,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 additional_guidance=additional_guidance,
                 control_data=control_data,
                 ip_adapter_image=ip_adapter_image,
+                ip_adapter_strength=ip_adapter_strength,
                 callback=callback,
             )
         finally:
@@ -431,6 +433,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
         ip_adapter_image: Optional[PIL.Image] = None,
+        ip_adapter_strength: float = 1.0,
         callback: Callable[[PipelineIntermediateState], None] = None,
     ):
 
@@ -463,6 +466,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                                    ip_adapter_model_path,   # hardwiring to manually downloaded loc for first pass
                                    "cuda")                  # hardwiring CUDA GPU for first pass
             # IP-Adapter ==> add additional cross-attention layers to UNet model here?
+            ip_adapter.set_scale(ip_adapter_strength)
             print("ip_adapter:", ip_adapter)
 
             # get image embedding from CLIP and ImageProjModel

From 054edc407740816e59f995d484036d339e5bac3e Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Wed, 30 Aug 2023 11:33:40 -0700
Subject: [PATCH 015/265] Oops, forgot to add control_adapter.py for control
 nodes in last refactor commit

---
 invokeai/app/invocations/control_adapter.py | 109 ++++++++++++++++++++
 1 file changed, 109 insertions(+)
 create mode 100644 invokeai/app/invocations/control_adapter.py

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
new file mode 100644
index 0000000000..189c4baed5
--- /dev/null
+++ b/invokeai/app/invocations/control_adapter.py
@@ -0,0 +1,109 @@
+from builtins import bool, float
+from typing import Dict, List, Literal, Optional, Union
+
+from pydantic import BaseModel, Field, validator
+from invokeai.app.invocations.primitives import ImageField
+
+from ...backend.model_management import BaseModelType
+
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    FieldDescriptions,
+    InputField,
+    Input,
+    InvocationContext,
+    OutputField,
+    UIType,
+    tags,
+    title,
+)
+
+
+CONTROLNET_MODE_VALUES = Literal["balanced", "more_prompt", "more_control", "unbalanced"]
+CONTROLNET_RESIZE_VALUES = Literal[
+    "just_resize",
+    "crop_resize",
+    "fill_resize",
+    "just_resize_simple",
+]
+
+
+class ControlNetModelField(BaseModel):
+    """ControlNet model field"""
+
+    model_name: str = Field(description="Name of the ControlNet model")
+    base_model: BaseModelType = Field(description="Base model")
+
+
+class ControlField(BaseModel):
+    image: ImageField = Field(description="The control image")
+    control_model: ControlNetModelField = Field(description="The ControlNet model to use")
+    control_weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet")
+    begin_step_percent: float = Field(
+        default=0, ge=0, le=1, description="When the ControlNet is first applied (% of total steps)"
+    )
+    end_step_percent: float = Field(
+        default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
+    )
+    control_mode: CONTROLNET_MODE_VALUES = Field(default="balanced", description="The control mode to use")
+    resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode to use")
+
+    @validator("control_weight")
+    def validate_control_weight(cls, v):
+        """Validate that all control weights in the valid range"""
+        if isinstance(v, list):
+            for i in v:
+                if i < -1 or i > 2:
+                    raise ValueError("Control weights must be within -1 to 2 range")
+        else:
+            if v < -1 or v > 2:
+                raise ValueError("Control weights must be within -1 to 2 range")
+        return v
+
+
+class ControlOutput(BaseInvocationOutput):
+    """node output for ControlNet info"""
+
+    type: Literal["control_output"] = "control_output"
+
+    # Outputs
+    control: ControlField = OutputField(description=FieldDescriptions.control)
+
+
+@title("ControlNet")
+@tags("controlnet")
+class ControlNetInvocation(BaseInvocation):
+    """Collects ControlNet info to pass to other nodes"""
+
+    type: Literal["controlnet"] = "controlnet"
+
+    # Inputs
+    image: ImageField = InputField(description="The control image")
+    control_model: ControlNetModelField = InputField(
+        default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
+    )
+    control_weight: Union[float, List[float]] = InputField(
+        default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
+    )
+    begin_step_percent: float = InputField(
+        default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
+    )
+    end_step_percent: float = InputField(
+        default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
+    )
+    control_mode: CONTROLNET_MODE_VALUES = InputField(default="balanced", description="The control mode used")
+    resize_mode: CONTROLNET_RESIZE_VALUES = InputField(default="just_resize", description="The resize mode used")
+
+    def invoke(self, context: InvocationContext) -> ControlOutput:
+        return ControlOutput(
+            control=ControlField(
+                image=self.image,
+                control_model=self.control_model,
+                control_weight=self.control_weight,
+                begin_step_percent=self.begin_step_percent,
+                end_step_percent=self.end_step_percent,
+                control_mode=self.control_mode,
+                resize_mode=self.resize_mode,
+            ),
+        )

From 0c17f8604f7f26bbf6459b8764705b388702ffa0 Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Wed, 30 Aug 2023 17:35:31 -0700
Subject: [PATCH 016/265] Resolving rebase conflict, redirecting control
 imports to invocations/control_adapter

---
 invokeai/app/invocations/latent.py   | 2 +-
 invokeai/app/invocations/metadata.py | 2 +-
 invokeai/app/invocations/onnx.py     | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index acf5c70984..ca400cd7b7 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -60,7 +60,7 @@ from .baseinvocation import (
     invocation_output,
 )
 from .compel import ConditioningField
-from .controlnet_image_processors import ControlField
+from .control_adapter import ControlField
 from .model import ModelInfo, UNetField, VaeField
 
 
diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index 4a968ff3ac..29afaab1fe 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -11,7 +11,7 @@ from invokeai.app.invocations.baseinvocation import (
     invocation,
     invocation_output,
 )
-from invokeai.app.invocations.controlnet_image_processors import ControlField
+from invokeai.app.invocations.control_adapter import ControlField
 from invokeai.app.invocations.model import LoRAModelField, MainModelField, VAEModelField
 from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
 
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index b61ea2da99..de4b217e4e 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -34,7 +34,7 @@ from .baseinvocation import (
     invocation,
     invocation_output,
 )
-from .controlnet_image_processors import ControlField
+from .control_adapter import ControlField
 from .latent import SAMPLER_NAME_VALUES, LatentsField, LatentsOutput, build_latents_output, get_scheduler
 from .model import ClipField, ModelInfo, UNetField, VaeField
 

From 79db0e9e938ccab6e7266a1251604a72886280cf Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Wed, 30 Aug 2023 18:29:06 -0700
Subject: [PATCH 017/265] More cleanup after rebasing to main.

---
 invokeai/app/invocations/control_adapter.py   | 11 ++-
 .../controlnet_image_processors.py            | 89 -------------------
 2 files changed, 5 insertions(+), 95 deletions(-)

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
index 189c4baed5..7119ea0c34 100644
--- a/invokeai/app/invocations/control_adapter.py
+++ b/invokeai/app/invocations/control_adapter.py
@@ -15,8 +15,8 @@ from .baseinvocation import (
     InvocationContext,
     OutputField,
     UIType,
-    tags,
-    title,
+    invocation,
+    invocation_output,
 )
 
 
@@ -28,7 +28,6 @@ CONTROLNET_RESIZE_VALUES = Literal[
     "just_resize_simple",
 ]
 
-
 class ControlNetModelField(BaseModel):
     """ControlNet model field"""
 
@@ -61,7 +60,7 @@ class ControlField(BaseModel):
                 raise ValueError("Control weights must be within -1 to 2 range")
         return v
 
-
+@invocation_output("control_output")
 class ControlOutput(BaseInvocationOutput):
     """node output for ControlNet info"""
 
@@ -71,8 +70,8 @@ class ControlOutput(BaseInvocationOutput):
     control: ControlField = OutputField(description=FieldDescriptions.control)
 
 
-@title("ControlNet")
-@tags("controlnet")
+
+@invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet")
 class ControlNetInvocation(BaseInvocation):
     """Collects ControlNet info to pass to other nodes"""
 
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index a666c5d6f4..db38b84ef0 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -1,5 +1,4 @@
 # Invocations for ControlNet image preprocessors
-# initial implementation by Gregg Helt, 2023
 # heavily leverages controlnet_aux package: https://github.com/patrickvonplaten/controlnet_aux
 from builtins import bool, float
 from typing import Dict, List, Literal, Optional, Union
@@ -24,12 +23,9 @@ from controlnet_aux import (
 )
 from controlnet_aux.util import HWC3, ade_palette
 from PIL import Image
-from pydantic import BaseModel, Field, validator
 
 from invokeai.app.invocations.primitives import ImageField, ImageOutput
 
-
-from ...backend.model_management import BaseModelType
 from ..models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import (
     BaseInvocation,
@@ -41,94 +37,9 @@ from .baseinvocation import (
     OutputField,
     UIType,
     invocation,
-    invocation_output,
 )
 
 
-CONTROLNET_MODE_VALUES = Literal["balanced", "more_prompt", "more_control", "unbalanced"]
-CONTROLNET_RESIZE_VALUES = Literal[
-    "just_resize",
-    "crop_resize",
-    "fill_resize",
-    "just_resize_simple",
-]
-
-
-class ControlNetModelField(BaseModel):
-    """ControlNet model field"""
-
-    model_name: str = Field(description="Name of the ControlNet model")
-    base_model: BaseModelType = Field(description="Base model")
-
-
-class ControlField(BaseModel):
-    image: ImageField = Field(description="The control image")
-    control_model: ControlNetModelField = Field(description="The ControlNet model to use")
-    control_weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet")
-    begin_step_percent: float = Field(
-        default=0, ge=0, le=1, description="When the ControlNet is first applied (% of total steps)"
-    )
-    end_step_percent: float = Field(
-        default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
-    )
-    control_mode: CONTROLNET_MODE_VALUES = Field(default="balanced", description="The control mode to use")
-    resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode to use")
-
-    @validator("control_weight")
-    def validate_control_weight(cls, v):
-        """Validate that all control weights in the valid range"""
-        if isinstance(v, list):
-            for i in v:
-                if i < -1 or i > 2:
-                    raise ValueError("Control weights must be within -1 to 2 range")
-        else:
-            if v < -1 or v > 2:
-                raise ValueError("Control weights must be within -1 to 2 range")
-        return v
-
-
-@invocation_output("control_output")
-class ControlOutput(BaseInvocationOutput):
-    """node output for ControlNet info"""
-
-    # Outputs
-    control: ControlField = OutputField(description=FieldDescriptions.control)
-
-
-@invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet")
-class ControlNetInvocation(BaseInvocation):
-    """Collects ControlNet info to pass to other nodes"""
-
-    image: ImageField = InputField(description="The control image")
-    control_model: ControlNetModelField = InputField(
-        default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
-    )
-    control_weight: Union[float, List[float]] = InputField(
-        default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
-    )
-    begin_step_percent: float = InputField(
-        default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
-    )
-    end_step_percent: float = InputField(
-        default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
-    )
-    control_mode: CONTROLNET_MODE_VALUES = InputField(default="balanced", description="The control mode used")
-    resize_mode: CONTROLNET_RESIZE_VALUES = InputField(default="just_resize", description="The resize mode used")
-
-    def invoke(self, context: InvocationContext) -> ControlOutput:
-        return ControlOutput(
-            control=ControlField(
-                image=self.image,
-                control_model=self.control_model,
-                control_weight=self.control_weight,
-                begin_step_percent=self.begin_step_percent,
-                end_step_percent=self.end_step_percent,
-                control_mode=self.control_mode,
-                resize_mode=self.resize_mode,
-            ),
-        )
-
-
 @invocation("image_processor", title="Base Image Processor", tags=["controlnet"], category="controlnet")
 class ImageProcessorInvocation(BaseInvocation):
     """Base class for invocations that preprocess images for ControlNet"""

From 74bfb5e1f97f29a4e83f1dcb120a9576e5f5b179 Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Thu, 31 Aug 2023 23:07:15 -0700
Subject: [PATCH 018/265] First commit of separate node for IP-Adapter. And it
 own dataclasses for passing info.

---
 invokeai/app/invocations/control_adapter.py   |  74 +++++++++-
 invokeai/app/invocations/latent.py            | 132 ++++++++++--------
 .../stable_diffusion/diffusers_pipeline.py    |  40 +++---
 3 files changed, 171 insertions(+), 75 deletions(-)

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
index 7119ea0c34..36053e3b1c 100644
--- a/invokeai/app/invocations/control_adapter.py
+++ b/invokeai/app/invocations/control_adapter.py
@@ -19,6 +19,7 @@ from .baseinvocation import (
     invocation_output,
 )
 
+CONTROL_ADAPTER_TYPES = Literal["ControlNet", "IP-Adapter", "T2I-Adapter"]
 
 CONTROLNET_MODE_VALUES = Literal["balanced", "more_prompt", "more_control", "unbalanced"]
 CONTROLNET_RESIZE_VALUES = Literal[
@@ -36,8 +37,15 @@ class ControlNetModelField(BaseModel):
 
 
 class ControlField(BaseModel):
+    control_type: CONTROL_ADAPTER_TYPES = Field(default="ControlNet", description="The type of control adapter")
     image: ImageField = Field(description="The control image")
-    control_model: ControlNetModelField = Field(description="The ControlNet model to use")
+    # control_model and ip_adapter_models are both optional
+    #    but must be on the two present
+    # if control_type == "ControlNet", then mus be control_model
+    # if control_type == "IP-Adapter", then must be ip_adapter_model
+    control_model: Optional[ControlNetModelField] = Field(description="The ControlNet model to use")
+    ip_adapter_model: Optional[str] = Field(description="The IP-Adapter model to use")
+    image_encoder_model: Optional[str] = Field(description="The clip_image_encoder model to use")
     control_weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet")
     begin_step_percent: float = Field(
         default=0, ge=0, le=1, description="When the ControlNet is first applied (% of total steps)"
@@ -97,8 +105,12 @@ class ControlNetInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> ControlOutput:
         return ControlOutput(
             control=ControlField(
+                control_type="ControlNet",
                 image=self.image,
                 control_model=self.control_model,
+                # ip_adapter_model is currently optional
+                #    must be either a control_model or ip_adapter_model
+                # ip_adapter_model=None,
                 control_weight=self.control_weight,
                 begin_step_percent=self.begin_step_percent,
                 end_step_percent=self.end_step_percent,
@@ -106,3 +118,63 @@ class ControlNetInvocation(BaseInvocation):
                 resize_mode=self.resize_mode,
             ),
         )
+
+IP_ADAPTER_MODELS = Literal[
+    "models_ip_adapter/models/ip-adapter_sd15.bin",
+    "models_ip_adapter/models/ip-adapter-plus_sd15.bin",
+    "models_ip_adapter/models/ip-adapter-plus-face_sd15.bin",
+    "models_ip_adapter/sdxl_models/ip-adapter_sdxl.bin"
+]
+
+IP_ADAPTER_IMAGE_ENCODER_MODELS = Literal[
+    "models_ip_adapter/models/image_encoder/",
+    "./models_ip_adapter/models/image_encoder/",
+    "models_ip_adapter/sdxl_models/image_encoder/"
+]
+
+@invocation("ipadapter", title="IP-Adapter", tags=["ipadapter"], category="ipadapter")
+class IPAdapterInvocation(BaseInvocation):
+    """Collects IP-Adapter info to pass to other nodes"""
+
+    type: Literal["ipadapter"] = "ipadapter"
+
+    # Inputs
+    image: ImageField = InputField(description="The control image")
+    #control_model: ControlNetModelField = InputField(
+    #    default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
+    #)
+    ip_adapter_model: IP_ADAPTER_MODELS = InputField(default="./models_ip_adapter/models/ip-adapter_sd15.bin",
+                                                    description="The IP-Adapter model")
+    image_encoder_model: IP_ADAPTER_IMAGE_ENCODER_MODELS = InputField(
+        default="./models_ip_adapter/models/image_encoder/",
+        description="The image encoder model")
+    control_weight: Union[float, List[float]] = InputField(
+        default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
+    )
+    # begin_step_percent: float = InputField(
+    #     default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
+    # )
+    # end_step_percent: float = InputField(
+    #     default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
+    # )
+    # control_mode: CONTROLNET_MODE_VALUES = InputField(default="balanced", description="The control mode used")
+    # resize_mode: CONTROLNET_RESIZE_VALUES = InputField(default="just_resize", description="The resize mode used")
+
+    def invoke(self, context: InvocationContext) -> ControlOutput:
+        return ControlOutput(
+            control=ControlField(
+                control_type="IP-Adapter",
+                image=self.image,
+                # control_model is currently optional
+                #    must be either a control_model or ip_adapter_model
+                # control_model=None,
+                ip_adapter_model=self.ip_adapter_model,
+                image_encoder_model=self.image_encoder_model,
+                control_weight=self.control_weight,
+                # rest are currently ignored
+                #begin_step_percent=self.begin_step_percent,
+                #end_step_percent=self.end_step_percent,
+                #control_mode=self.control_mode,
+                #resize_mode=self.resize_mode,
+            ),
+        )
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index ca400cd7b7..007f7bc9a2 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -40,6 +40,7 @@ from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
     ConditioningData,
     ControlNetData,
+    IPAdapterData,
     StableDiffusionGeneratorPipeline,
     image_resized_to_grid_as_tensor,
 )
@@ -216,9 +217,9 @@ class DenoiseLatentsInvocation(BaseInvocation):
         default=None,
         description=FieldDescriptions.mask,
     )
-    ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection, title="IP Adapter Image", ui_order=6)
-    ip_adapter_strength: float = InputField(default=1.0, ge=0, le=2, ui_type=UIType.Float,
-                                            title="IP Adapter Strength", ui_order=7)
+    # ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection, title="IP Adapter Image", ui_order=6)
+    # ip_adapter_strength: float = InputField(default=1.0, ge=0, le=2, ui_type=UIType.Float,
+    #                                        title="IP Adapter Strength", ui_order=7)
 
     @validator("cfg_scale")
     def ge_one(cls, v):
@@ -340,57 +341,71 @@ class DenoiseLatentsInvocation(BaseInvocation):
         else:
             control_list = None
         if control_list is None:
-            control_data = None
+            controlnet_data = None
+            ip_adapter_data = None
             # from above handling, any control that is not None should now be of type list[ControlField]
         else:
             # FIXME: add checks to skip entry if model or image is None
             #        and if weight is None, populate with default 1.0?
-            control_data = []
-            control_models = []
+            controlnet_data = []
+            ip_adapter_data = []
+            # control_models = []
             for control_info in control_list:
-                control_model = exit_stack.enter_context(
-                    context.services.model_manager.get_model(
-                        model_name=control_info.control_model.model_name,
-                        model_type=ModelType.ControlNet,
-                        base_model=control_info.control_model.base_model,
-                        context=context,
+                if control_info.control_type == "ControlNet":
+                    control_model = exit_stack.enter_context(
+                        context.services.model_manager.get_model(
+                            model_name=control_info.control_model.model_name,
+                            model_type=ModelType.ControlNet,
+                            base_model=control_info.control_model.base_model,
+                            context=context,
+                        )
                     )
-                )
 
-                control_models.append(control_model)
-                control_image_field = control_info.image
-                input_image = context.services.images.get_pil_image(control_image_field.image_name)
-                # self.image.image_type, self.image.image_name
-                # FIXME: still need to test with different widths, heights, devices, dtypes
-                #        and add in batch_size, num_images_per_prompt?
-                #        and do real check for classifier_free_guidance?
-                # prepare_control_image should return torch.Tensor of shape(batch_size, 3, height, width)
-                control_image = prepare_control_image(
-                    image=input_image,
-                    do_classifier_free_guidance=do_classifier_free_guidance,
-                    width=control_width_resize,
-                    height=control_height_resize,
-                    # batch_size=batch_size * num_images_per_prompt,
-                    # num_images_per_prompt=num_images_per_prompt,
-                    device=control_model.device,
-                    dtype=control_model.dtype,
-                    control_mode=control_info.control_mode,
-                    resize_mode=control_info.resize_mode,
-                )
-                control_item = ControlNetData(
-                    model=control_model,
-                    image_tensor=control_image,
-                    weight=control_info.control_weight,
-                    begin_step_percent=control_info.begin_step_percent,
-                    end_step_percent=control_info.end_step_percent,
-                    control_mode=control_info.control_mode,
-                    # any resizing needed should currently be happening in prepare_control_image(),
-                    #    but adding resize_mode to ControlNetData in case needed in the future
-                    resize_mode=control_info.resize_mode,
-                )
-                control_data.append(control_item)
-                # MultiControlNetModel has been refactored out, just need list[ControlNetData]
-        return control_data
+                    # control_models.append(control_model)
+                    control_image_field = control_info.image
+                    input_image = context.services.images.get_pil_image(control_image_field.image_name)
+                    # self.image.image_type, self.image.image_name
+                    # FIXME: still need to test with different widths, heights, devices, dtypes
+                    #        and add in batch_size, num_images_per_prompt?
+                    #        and do real check for classifier_free_guidance?
+                    # prepare_control_image should return torch.Tensor of shape(batch_size, 3, height, width)
+                    control_image = prepare_control_image(
+                        image=input_image,
+                        do_classifier_free_guidance=do_classifier_free_guidance,
+                        width=control_width_resize,
+                        height=control_height_resize,
+                        # batch_size=batch_size * num_images_per_prompt,
+                        # num_images_per_prompt=num_images_per_prompt,
+                        device=control_model.device,
+                        dtype=control_model.dtype,
+                        control_mode=control_info.control_mode,
+                        resize_mode=control_info.resize_mode,
+                    )
+                    control_item = ControlNetData(
+                        model=control_model, # model object
+                        image_tensor=control_image,
+                        weight=control_info.control_weight,
+                        begin_step_percent=control_info.begin_step_percent,
+                        end_step_percent=control_info.end_step_percent,
+                        control_mode=control_info.control_mode,
+                        # any resizing needed should currently be happening in prepare_control_image(),
+                        #    but adding resize_mode to ControlNetData in case needed in the future
+                        resize_mode=control_info.resize_mode,
+                    )
+                    controlnet_data.append(control_item)
+                    # MultiControlNetModel has been refactored out, just need list[ControlNetData]
+                elif control_info.control_type == "IP-Adapter":
+                    control_image_field = control_info.image
+                    input_image = context.services.images.get_pil_image(control_image_field.image_name)
+                    control_item = IPAdapterData(
+                        ip_adapter_model=control_info.ip_adapter_model,  # name of model (NOT model object)
+                        image_encoder_model=control_info.image_encoder_model, # name of model (NOT model obj)
+                        image=input_image,
+                        weight=control_info.control_weight,
+                    )
+                    ip_adapter_data.append(control_item)
+
+        return controlnet_data, ip_adapter_data
 
     # original idea by https://github.com/AmericanPresidentJimmyCarter
     # TODO: research more for second order schedulers timesteps
@@ -499,14 +514,14 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 pipeline = self.create_pipeline(unet, scheduler)
                 conditioning_data = self.get_conditioning_data(context, scheduler, unet, seed)
 
-                if self.ip_adapter_image is not None:
-                    print("ip_adapter_image:", self.ip_adapter_image)
-                    unwrapped_ip_adapter_image = context.services.images.get_pil_image(self.ip_adapter_image.image_name)
-                    print("unwrapped ip_adapter_image:", unwrapped_ip_adapter_image)
-                else:
-                    unwrapped_ip_adapter_image = None
+                # if self.ip_adapter_image is not None:
+                #     print("ip_adapter_image:", self.ip_adapter_image)
+                #     unwrapped_ip_adapter_image = context.services.images.get_pil_image(self.ip_adapter_image.image_name)
+                #     print("unwrapped ip_adapter_image:", unwrapped_ip_adapter_image)
+                # else:
+                #     unwrapped_ip_adapter_image = None
 
-                control_data = self.prep_control_data(
+                controlnet_data, ip_adapter_data = self.prep_control_data(
                     model=pipeline,
                     context=context,
                     control_input=self.control,
@@ -515,6 +530,8 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     do_classifier_free_guidance=True,
                     exit_stack=exit_stack,
                 )
+                print("controlnet_data:", controlnet_data)
+                print("ip_adapter_data:", ip_adapter_data)
 
                 num_inference_steps, timesteps, init_timestep = self.init_scheduler(
                     scheduler,
@@ -534,9 +551,10 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     masked_latents=masked_latents,
                     num_inference_steps=num_inference_steps,
                     conditioning_data=conditioning_data,
-                    control_data=control_data,  # list[ControlNetData],
-                    ip_adapter_image=unwrapped_ip_adapter_image,
-                    ip_adapter_strength=self.ip_adapter_strength,
+                    control_data=controlnet_data,  # list[ControlNetData],
+                    ip_adapter_data=ip_adapter_data,  # list[IPAdapterData],
+#                    ip_adapter_image=unwrapped_ip_adapter_image,
+#                    ip_adapter_strength=self.ip_adapter_strength,
                     callback=step_callback,
                 )
 
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index edada58c8a..6bc9848247 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -170,6 +170,15 @@ class ControlNetData:
     resize_mode: str = Field(default="just_resize")
 
 
+@dataclass
+class IPAdapterData:
+    ip_adapter_model: str = Field(default=None)
+    image_encoder_model: str = Field(default=None)
+    image: PIL.Image = Field(default=None)
+    # TODO: change to polymorphic so can do different weights per step (once implemented...)
+    # weight: Union[float, List[float]] = Field(default=1.0)
+    weight: float = Field(default=1.0)
+
 @dataclass
 class ConditioningData:
     unconditioned_embeddings: BasicConditioningInfo
@@ -358,8 +367,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         additional_guidance: List[Callable] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
         control_data: List[ControlNetData] = None,
-        ip_adapter_image: Optional[PIL.Image] = None,
-        ip_adapter_strength: float = 1.0,
+        ip_adapter_data: IPAdapterData = None,
         mask: Optional[torch.Tensor] = None,
         masked_latents: Optional[torch.Tensor] = None,
         seed: Optional[int] = None,
@@ -411,8 +419,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 conditioning_data,
                 additional_guidance=additional_guidance,
                 control_data=control_data,
-                ip_adapter_image=ip_adapter_image,
-                ip_adapter_strength=ip_adapter_strength,
+                ip_adapter_data=ip_adapter_data,
                 callback=callback,
             )
         finally:
@@ -432,8 +439,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         *,
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
-        ip_adapter_image: Optional[PIL.Image] = None,
-        ip_adapter_strength: float = 1.0,
+        ip_adapter_data: List[IPAdapterData] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
     ):
 
@@ -447,26 +453,26 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if timesteps.shape[0] == 0:
             return latents, attention_map_saver
 
-        print("ip_adapter_image: ", type(ip_adapter_image))
-        if ip_adapter_image is not None:
+        # print("ip_adapter_image: ", type(ip_adapter_image))
+        if ip_adapter_data is not None and len(ip_adapter_data) > 0:
+            ip_adapter_info = ip_adapter_data[0]
+            ip_adapter_image = ip_adapter_info.image
             # initialize IPAdapter
             print("   width:", ip_adapter_image.width, " height:", ip_adapter_image.height)
-            clip_image_encoder_path = "ip_adapter_models_sd_1.5/image_encoder/"
-            ip_adapter_model_path = "ip_adapter_models_sd_1.5/ip-adapter_sd15.bin"
             # FIXME:
             #   WARNING!
             #   IPAdapter constructor modifies UNet model in-place
             #   Adds additional cross-attention layers to UNet model for image embedding
-            #   need to figure out how to only do this if UNet hasn't already been modified by prior IPAdapter
-            #   and how to undo if ip_adapter_image is removed
-            #   use existing model management context etc?
+            #       need to figure out how to only do this if UNet hasn't already been modified by prior IPAdapter
+            #       and how to undo if ip_adapter_image is removed
+            #   Should reimplement to use existing model management context etc.
             #
             ip_adapter = IPAdapter(self,                    # IPAdapter first arg is StableDiffusionPipeline
-                                   clip_image_encoder_path, # hardwiring to manually downloaded dir for first pass
-                                   ip_adapter_model_path,   # hardwiring to manually downloaded loc for first pass
-                                   "cuda")                  # hardwiring CUDA GPU for first pass
+                                   ip_adapter_info.image_encoder_model,
+                                   ip_adapter_info.ip_adapter_model,
+                                   self.unet.device)
             # IP-Adapter ==> add additional cross-attention layers to UNet model here?
-            ip_adapter.set_scale(ip_adapter_strength)
+            ip_adapter.set_scale(ip_adapter_info.weight)
             print("ip_adapter:", ip_adapter)
 
             # get image embedding from CLIP and ImageProjModel

From fb1b03960e6dcc880caa3d4933c2116298963fd7 Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Fri, 1 Sep 2023 04:40:30 -0700
Subject: [PATCH 019/265] Added IP-Adapter SDXL support. Added IP-Adapter
 "Plus" (more detail) model support.

---
 .../stable_diffusion/diffusers_pipeline.py    | 25 +++++++++++++++----
 1 file changed, 20 insertions(+), 5 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 6bc9848247..bdc6a9193d 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -34,7 +34,7 @@ from .diffusion import (
     BasicConditioningInfo,
 )
 from ..util import normalize_device, auto_detect_slice_size
-from invokeai.backend.ip_adapter.ip_adapter import IPAdapter
+from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
 
 
 @dataclass
@@ -467,10 +467,25 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             #       and how to undo if ip_adapter_image is removed
             #   Should reimplement to use existing model management context etc.
             #
-            ip_adapter = IPAdapter(self,                    # IPAdapter first arg is StableDiffusionPipeline
-                                   ip_adapter_info.image_encoder_model,
-                                   ip_adapter_info.ip_adapter_model,
-                                   self.unet.device)
+            if "sdxl" in ip_adapter_info.ip_adapter_model:
+                print("using IPAdapterXL")
+                ip_adapter = IPAdapterXL(self,
+                                         ip_adapter_info.image_encoder_model,
+                                         ip_adapter_info.ip_adapter_model,
+                                         self.unet.device)
+            elif "plus" in ip_adapter_info.ip_adapter_model:
+                print("using IPAdapterPlus")
+                ip_adapter = IPAdapterPlus(self,               # IPAdapterPlus first arg is StableDiffusionPipeline
+                                           ip_adapter_info.image_encoder_model,
+                                           ip_adapter_info.ip_adapter_model,
+                                           self.unet.device,
+                                           num_tokens=16)
+            else:
+                print("using IPAdapter")
+                ip_adapter = IPAdapter(self,                    # IPAdapter first arg is StableDiffusionPipeline
+                                       ip_adapter_info.image_encoder_model,
+                                       ip_adapter_info.ip_adapter_model,
+                                       self.unet.device)
             # IP-Adapter ==> add additional cross-attention layers to UNet model here?
             ip_adapter.set_scale(ip_adapter_info.weight)
             print("ip_adapter:", ip_adapter)

From 07381e5a26d560adb135062a91d19bf0383cab6e Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 11:37:12 +1200
Subject: [PATCH 020/265] cleanup: merge conflicts

---
 invokeai/app/invocations/control_adapter.py   | 30 +++++++------
 .../controlnet_image_processors.py            | 14 +------
 invokeai/app/invocations/latent.py            |  9 ++--
 .../backend/ip_adapter/attention_processor.py | 12 +++++-
 invokeai/backend/ip_adapter/ip_adapter.py     | 42 ++++++++++++++-----
 invokeai/backend/ip_adapter/resampler.py      |  6 +--
 invokeai/backend/ip_adapter/utils.py          |  9 +---
 .../stable_diffusion/diffusers_pipeline.py    | 33 ++++++++-------
 8 files changed, 86 insertions(+), 69 deletions(-)

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
index 36053e3b1c..93430654a0 100644
--- a/invokeai/app/invocations/control_adapter.py
+++ b/invokeai/app/invocations/control_adapter.py
@@ -29,6 +29,7 @@ CONTROLNET_RESIZE_VALUES = Literal[
     "just_resize_simple",
 ]
 
+
 class ControlNetModelField(BaseModel):
     """ControlNet model field"""
 
@@ -68,6 +69,7 @@ class ControlField(BaseModel):
                 raise ValueError("Control weights must be within -1 to 2 range")
         return v
 
+
 @invocation_output("control_output")
 class ControlOutput(BaseInvocationOutput):
     """node output for ControlNet info"""
@@ -78,7 +80,6 @@ class ControlOutput(BaseInvocationOutput):
     control: ControlField = OutputField(description=FieldDescriptions.control)
 
 
-
 @invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet")
 class ControlNetInvocation(BaseInvocation):
     """Collects ControlNet info to pass to other nodes"""
@@ -119,19 +120,21 @@ class ControlNetInvocation(BaseInvocation):
             ),
         )
 
+
 IP_ADAPTER_MODELS = Literal[
     "models_ip_adapter/models/ip-adapter_sd15.bin",
     "models_ip_adapter/models/ip-adapter-plus_sd15.bin",
     "models_ip_adapter/models/ip-adapter-plus-face_sd15.bin",
-    "models_ip_adapter/sdxl_models/ip-adapter_sdxl.bin"
+    "models_ip_adapter/sdxl_models/ip-adapter_sdxl.bin",
 ]
 
 IP_ADAPTER_IMAGE_ENCODER_MODELS = Literal[
     "models_ip_adapter/models/image_encoder/",
     "./models_ip_adapter/models/image_encoder/",
-    "models_ip_adapter/sdxl_models/image_encoder/"
+    "models_ip_adapter/sdxl_models/image_encoder/",
 ]
 
+
 @invocation("ipadapter", title="IP-Adapter", tags=["ipadapter"], category="ipadapter")
 class IPAdapterInvocation(BaseInvocation):
     """Collects IP-Adapter info to pass to other nodes"""
@@ -140,14 +143,15 @@ class IPAdapterInvocation(BaseInvocation):
 
     # Inputs
     image: ImageField = InputField(description="The control image")
-    #control_model: ControlNetModelField = InputField(
+    # control_model: ControlNetModelField = InputField(
     #    default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
-    #)
-    ip_adapter_model: IP_ADAPTER_MODELS = InputField(default="./models_ip_adapter/models/ip-adapter_sd15.bin",
-                                                    description="The IP-Adapter model")
+    # )
+    ip_adapter_model: IP_ADAPTER_MODELS = InputField(
+        default="./models_ip_adapter/models/ip-adapter_sd15.bin", description="The IP-Adapter model"
+    )
     image_encoder_model: IP_ADAPTER_IMAGE_ENCODER_MODELS = InputField(
-        default="./models_ip_adapter/models/image_encoder/",
-        description="The image encoder model")
+        default="./models_ip_adapter/models/image_encoder/", description="The image encoder model"
+    )
     control_weight: Union[float, List[float]] = InputField(
         default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
     )
@@ -172,9 +176,9 @@ class IPAdapterInvocation(BaseInvocation):
                 image_encoder_model=self.image_encoder_model,
                 control_weight=self.control_weight,
                 # rest are currently ignored
-                #begin_step_percent=self.begin_step_percent,
-                #end_step_percent=self.end_step_percent,
-                #control_mode=self.control_mode,
-                #resize_mode=self.resize_mode,
+                # begin_step_percent=self.begin_step_percent,
+                # end_step_percent=self.end_step_percent,
+                # control_mode=self.control_mode,
+                # resize_mode=self.resize_mode,
             ),
         )
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 8edb69bfcf..cca05c5700 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -1,7 +1,7 @@
 # Invocations for ControlNet image preprocessors
 # heavily leverages controlnet_aux package: https://github.com/patrickvonplaten/controlnet_aux
 from builtins import bool, float
-from typing import Dict, List, Literal, Optional, Union
+from typing import Dict, List, Optional
 
 import cv2
 import numpy as np
@@ -27,17 +27,7 @@ from PIL import Image
 from invokeai.app.invocations.primitives import ImageField, ImageOutput
 
 from ..models.image import ImageCategory, ResourceOrigin
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    FieldDescriptions,
-    Input,
-    InputField,
-    InvocationContext,
-    OutputField,
-    UIType,
-    invocation,
-)
+from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, invocation
 
 
 @invocation(
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 37e4c5955b..2252dcee8f 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -65,7 +65,6 @@ from .control_adapter import ControlField
 from .model import ModelInfo, UNetField, VaeField
 
 
-
 DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
 SAMPLER_NAME_VALUES = Literal[tuple(list(SCHEDULER_MAP.keys()))]
@@ -387,7 +386,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                         resize_mode=control_info.resize_mode,
                     )
                     control_item = ControlNetData(
-                        model=control_model, # model object
+                        model=control_model,  # model object
                         image_tensor=control_image,
                         weight=control_info.control_weight,
                         begin_step_percent=control_info.begin_step_percent,
@@ -404,7 +403,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     input_image = context.services.images.get_pil_image(control_image_field.image_name)
                     control_item = IPAdapterData(
                         ip_adapter_model=control_info.ip_adapter_model,  # name of model (NOT model object)
-                        image_encoder_model=control_info.image_encoder_model, # name of model (NOT model obj)
+                        image_encoder_model=control_info.image_encoder_model,  # name of model (NOT model obj)
                         image=input_image,
                         weight=control_info.control_weight,
                     )
@@ -564,8 +563,8 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     conditioning_data=conditioning_data,
                     control_data=controlnet_data,  # list[ControlNetData],
                     ip_adapter_data=ip_adapter_data,  # list[IPAdapterData],
-#                    ip_adapter_image=unwrapped_ip_adapter_image,
-#                    ip_adapter_strength=self.ip_adapter_strength,
+                    #                    ip_adapter_image=unwrapped_ip_adapter_image,
+                    #                    ip_adapter_strength=self.ip_adapter_strength,
                     callback=step_callback,
                 )
 
diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
index de9b367b7d..c3fd1b8bb1 100644
--- a/invokeai/backend/ip_adapter/attention_processor.py
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -12,6 +12,7 @@ class AttnProcessor(nn.Module):
     r"""
     Default processor for performing attention-related computations.
     """
+
     def __init__(
         self,
         hidden_size=None,
@@ -140,7 +141,10 @@ class IPAttnProcessor(nn.Module):
             encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
 
         # split hidden states
-        encoder_hidden_states, ip_hidden_states = encoder_hidden_states[:, :self.text_context_len, :], encoder_hidden_states[:, self.text_context_len:, :]
+        encoder_hidden_states, ip_hidden_states = (
+            encoder_hidden_states[:, : self.text_context_len, :],
+            encoder_hidden_states[:, self.text_context_len :, :],
+        )
 
         key = attn.to_k(encoder_hidden_states)
         value = attn.to_v(encoder_hidden_states)
@@ -186,6 +190,7 @@ class AttnProcessor2_0(torch.nn.Module):
     r"""
     Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0).
     """
+
     def __init__(
         self,
         hidden_size=None,
@@ -338,7 +343,10 @@ class IPAttnProcessor2_0(torch.nn.Module):
             encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
 
         # split hidden states
-        encoder_hidden_states, ip_hidden_states = encoder_hidden_states[:, :self.text_context_len, :], encoder_hidden_states[:, self.text_context_len:, :]
+        encoder_hidden_states, ip_hidden_states = (
+            encoder_hidden_states[:, : self.text_context_len, :],
+            encoder_hidden_states[:, self.text_context_len :, :],
+        )
 
         key = attn.to_k(encoder_hidden_states)
         value = attn.to_v(encoder_hidden_states)
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index ddec16eebc..81bc6db847 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -22,6 +22,7 @@ from .resampler import Resampler
 
 class ImageProjModel(torch.nn.Module):
     """Projection Model"""
+
     def __init__(self, cross_attention_dim=1024, clip_embeddings_dim=1024, clip_extra_context_tokens=4):
         super().__init__()
 
@@ -32,15 +33,15 @@ class ImageProjModel(torch.nn.Module):
 
     def forward(self, image_embeds):
         embeds = image_embeds
-        clip_extra_context_tokens = self.proj(embeds).reshape(-1, self.clip_extra_context_tokens, self.cross_attention_dim)
+        clip_extra_context_tokens = self.proj(embeds).reshape(
+            -1, self.clip_extra_context_tokens, self.cross_attention_dim
+        )
         clip_extra_context_tokens = self.norm(clip_extra_context_tokens)
         return clip_extra_context_tokens
 
 
 class IPAdapter:
-
     def __init__(self, sd_pipe, image_encoder_path, ip_ckpt, device, num_tokens=4):
-
         self.device = device
         self.image_encoder_path = image_encoder_path
         self.ip_ckpt = ip_ckpt
@@ -54,7 +55,9 @@ class IPAdapter:
         self.set_ip_adapter()
 
         # load image encoder
-        self.image_encoder = CLIPVisionModelWithProjection.from_pretrained(self.image_encoder_path).to(self.device, dtype=torch.float16)
+        self.image_encoder = CLIPVisionModelWithProjection.from_pretrained(self.image_encoder_path).to(
+            self.device, dtype=torch.float16
+        )
         self.clip_image_processor = CLIPImageProcessor()
         # image proj model
         self.image_proj_model = self.init_proj()
@@ -88,8 +91,9 @@ class IPAdapter:
                 attn_procs[name] = AttnProcessor()
             else:
                 print("swapping in IPAttnProcessor for", name)
-                attn_procs[name] = IPAttnProcessor(hidden_size=hidden_size, cross_attention_dim=cross_attention_dim,
-                scale=1.0).to(self.device, dtype=torch.float16)
+                attn_procs[name] = IPAttnProcessor(
+                    hidden_size=hidden_size, cross_attention_dim=cross_attention_dim, scale=1.0
+                ).to(self.device, dtype=torch.float16)
         unet.set_attn_processor(attn_procs)
         print("Modified UNet Attn Processors count:", len(unet.attn_processors))
         print(unet.attn_processors.keys())
@@ -155,7 +159,12 @@ class IPAdapter:
 
         with torch.inference_mode():
             prompt_embeds = self.pipe._encode_prompt(
-                prompt, device=self.device, num_images_per_prompt=num_samples, do_classifier_free_guidance=True, negative_prompt=negative_prompt)
+                prompt,
+                device=self.device,
+                num_images_per_prompt=num_samples,
+                do_classifier_free_guidance=True,
+                negative_prompt=negative_prompt,
+            )
             negative_prompt_embeds_, prompt_embeds_ = prompt_embeds.chunk(2)
             prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
@@ -212,8 +221,17 @@ class IPAdapterXL(IPAdapter):
         uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
 
         with torch.inference_mode():
-            prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds = self.pipe.encode_prompt(
-                prompt, num_images_per_prompt=num_samples, do_classifier_free_guidance=True, negative_prompt=negative_prompt)
+            (
+                prompt_embeds,
+                negative_prompt_embeds,
+                pooled_prompt_embeds,
+                negative_pooled_prompt_embeds,
+            ) = self.pipe.encode_prompt(
+                prompt,
+                num_images_per_prompt=num_samples,
+                do_classifier_free_guidance=True,
+                negative_prompt=negative_prompt,
+            )
             prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
             negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
 
@@ -243,7 +261,7 @@ class IPAdapterPlus(IPAdapter):
             num_queries=self.num_tokens,
             embedding_dim=self.image_encoder.config.hidden_size,
             output_dim=self.pipe.unet.config.cross_attention_dim,
-            ff_mult=4
+            ff_mult=4,
         ).to(self.device, dtype=torch.float16)
         return image_proj_model
 
@@ -255,6 +273,8 @@ class IPAdapterPlus(IPAdapter):
         clip_image = clip_image.to(self.device, dtype=torch.float16)
         clip_image_embeds = self.image_encoder(clip_image, output_hidden_states=True).hidden_states[-2]
         image_prompt_embeds = self.image_proj_model(clip_image_embeds)
-        uncond_clip_image_embeds = self.image_encoder(torch.zeros_like(clip_image), output_hidden_states=True).hidden_states[-2]
+        uncond_clip_image_embeds = self.image_encoder(
+            torch.zeros_like(clip_image), output_hidden_states=True
+        ).hidden_states[-2]
         uncond_image_prompt_embeds = self.image_proj_model(uncond_clip_image_embeds)
         return image_prompt_embeds, uncond_image_prompt_embeds
diff --git a/invokeai/backend/ip_adapter/resampler.py b/invokeai/backend/ip_adapter/resampler.py
index 327ef7c140..38c4b06dcf 100644
--- a/invokeai/backend/ip_adapter/resampler.py
+++ b/invokeai/backend/ip_adapter/resampler.py
@@ -20,7 +20,7 @@ def FeedForward(dim, mult=4):
 
 def reshape_tensor(x, heads):
     bs, length, width = x.shape
-    #(bs, length, width) --> (bs, length, n_heads, dim_per_head)
+    # (bs, length, width) --> (bs, length, n_heads, dim_per_head)
     x = x.view(bs, length, heads, -1)
     # (bs, length, n_heads, dim_per_head) --> (bs, n_heads, length, dim_per_head)
     x = x.transpose(1, 2)
@@ -44,7 +44,6 @@ class PerceiverAttention(nn.Module):
         self.to_kv = nn.Linear(dim, inner_dim * 2, bias=False)
         self.to_out = nn.Linear(inner_dim, dim, bias=False)
 
-
     def forward(self, x, latents):
         """
         Args:
@@ -68,7 +67,7 @@ class PerceiverAttention(nn.Module):
 
         # attention
         scale = 1 / math.sqrt(math.sqrt(self.dim_head))
-        weight = (q * scale) @ (k * scale).transpose(-2, -1) # More stable with f16 than dividing afterwards
+        weight = (q * scale) @ (k * scale).transpose(-2, -1)  # More stable with f16 than dividing afterwards
         weight = torch.softmax(weight.float(), dim=-1).type(weight.dtype)
         out = weight @ v
 
@@ -110,7 +109,6 @@ class Resampler(nn.Module):
             )
 
     def forward(self, x):
-
         latents = self.latents.repeat(x.size(0), 1, 1)
 
         x = self.proj_in(x)
diff --git a/invokeai/backend/ip_adapter/utils.py b/invokeai/backend/ip_adapter/utils.py
index e120a9e2b4..049d8163c2 100644
--- a/invokeai/backend/ip_adapter/utils.py
+++ b/invokeai/backend/ip_adapter/utils.py
@@ -15,7 +15,6 @@ from diffusers.models import ControlNetModel
 from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
 
 
-
 def is_torch2_available():
     return hasattr(F, "scaled_dot_product_attention")
 
@@ -150,9 +149,7 @@ def generate(
         control_guidance_end = len(control_guidance_start) * [control_guidance_end]
     elif not isinstance(control_guidance_start, list) and not isinstance(control_guidance_end, list):
         mult = len(controlnet.nets) if isinstance(controlnet, MultiControlNetModel) else 1
-        control_guidance_start, control_guidance_end = mult * [control_guidance_start], mult * [
-            control_guidance_end
-        ]
+        control_guidance_start, control_guidance_end = mult * [control_guidance_start], mult * [control_guidance_end]
 
     # 1. Check inputs. Raise error if not correct
     self.check_inputs(
@@ -192,9 +189,7 @@ def generate(
     guess_mode = guess_mode or global_pool_conditions
 
     # 3. Encode input prompt
-    text_encoder_lora_scale = (
-        cross_attention_kwargs.get("scale", None) if cross_attention_kwargs is not None else None
-    )
+    text_encoder_lora_scale = cross_attention_kwargs.get("scale", None) if cross_attention_kwargs is not None else None
     prompt_embeds = self._encode_prompt(
         prompt,
         device,
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index bdc6a9193d..891a9b9fb0 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -179,6 +179,7 @@ class IPAdapterData:
     # weight: Union[float, List[float]] = Field(default=1.0)
     weight: float = Field(default=1.0)
 
+
 @dataclass
 class ConditioningData:
     unconditioned_embeddings: BasicConditioningInfo
@@ -442,7 +443,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         ip_adapter_data: List[IPAdapterData] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
     ):
-
         self._adjust_memory_efficient_attention(latents)
         if additional_guidance is None:
             additional_guidance = []
@@ -469,30 +469,33 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             #
             if "sdxl" in ip_adapter_info.ip_adapter_model:
                 print("using IPAdapterXL")
-                ip_adapter = IPAdapterXL(self,
-                                         ip_adapter_info.image_encoder_model,
-                                         ip_adapter_info.ip_adapter_model,
-                                         self.unet.device)
+                ip_adapter = IPAdapterXL(
+                    self, ip_adapter_info.image_encoder_model, ip_adapter_info.ip_adapter_model, self.unet.device
+                )
             elif "plus" in ip_adapter_info.ip_adapter_model:
                 print("using IPAdapterPlus")
-                ip_adapter = IPAdapterPlus(self,               # IPAdapterPlus first arg is StableDiffusionPipeline
-                                           ip_adapter_info.image_encoder_model,
-                                           ip_adapter_info.ip_adapter_model,
-                                           self.unet.device,
-                                           num_tokens=16)
+                ip_adapter = IPAdapterPlus(
+                    self,  # IPAdapterPlus first arg is StableDiffusionPipeline
+                    ip_adapter_info.image_encoder_model,
+                    ip_adapter_info.ip_adapter_model,
+                    self.unet.device,
+                    num_tokens=16,
+                )
             else:
                 print("using IPAdapter")
-                ip_adapter = IPAdapter(self,                    # IPAdapter first arg is StableDiffusionPipeline
-                                       ip_adapter_info.image_encoder_model,
-                                       ip_adapter_info.ip_adapter_model,
-                                       self.unet.device)
+                ip_adapter = IPAdapter(
+                    self,  # IPAdapter first arg is StableDiffusionPipeline
+                    ip_adapter_info.image_encoder_model,
+                    ip_adapter_info.ip_adapter_model,
+                    self.unet.device,
+                )
             # IP-Adapter ==> add additional cross-attention layers to UNet model here?
             ip_adapter.set_scale(ip_adapter_info.weight)
             print("ip_adapter:", ip_adapter)
 
             # get image embedding from CLIP and ImageProjModel
             print("getting image embeddings from IP-Adapter...")
-            num_samples = 1   # hardwiring for first pass
+            num_samples = 1  # hardwiring for first pass
             image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter.get_image_embeds(ip_adapter_image)
             print("image cond   embeds shape:", image_prompt_embeds.shape)
             print("image uncond embeds shape:", uncond_image_prompt_embeds.shape)

From 65a76a086b116ae018db3b96ce48f3464b6c9ae8 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 11:54:28 +1200
Subject: [PATCH 021/265] cleanup: Some basic cleanup

---
 invokeai/backend/ip_adapter/__init__.py   |  2 +-
 invokeai/backend/ip_adapter/ip_adapter.py |  6 ++----
 invokeai/backend/ip_adapter/resampler.py  |  3 ++-
 invokeai/backend/ip_adapter/utils.py      | 11 +++++------
 4 files changed, 10 insertions(+), 12 deletions(-)

diff --git a/invokeai/backend/ip_adapter/__init__.py b/invokeai/backend/ip_adapter/__init__.py
index 852ee25813..68cb7069a5 100644
--- a/invokeai/backend/ip_adapter/__init__.py
+++ b/invokeai/backend/ip_adapter/__init__.py
@@ -1 +1 @@
-from .ip_adapter import IPAdapter, IPAdapterXL, IPAdapterPlus
+from .ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 81bc6db847..b8f55fb59c 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -1,13 +1,11 @@
 # copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
 #   and modified as needed
 
-import os
 from typing import List
 
 import torch
-from diffusers import StableDiffusionPipeline
-from transformers import CLIPVisionModelWithProjection, CLIPImageProcessor
 from PIL import Image
+from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
 # FIXME: Getting errors when trying to use PyTorch 2.0 versions of IPAttnProcessor and AttnProcessor
 #   so for now falling back to the default versions
@@ -16,7 +14,7 @@ from PIL import Image
 #     from .attention_processor import IPAttnProcessor2_0 as IPAttnProcessor, AttnProcessor2_0 as AttnProcessor
 # else:
 #     from .attention_processor import IPAttnProcessor, AttnProcessor
-from .attention_processor import IPAttnProcessor, AttnProcessor
+from .attention_processor import AttnProcessor, IPAttnProcessor
 from .resampler import Resampler
 
 
diff --git a/invokeai/backend/ip_adapter/resampler.py b/invokeai/backend/ip_adapter/resampler.py
index 38c4b06dcf..3d326568a0 100644
--- a/invokeai/backend/ip_adapter/resampler.py
+++ b/invokeai/backend/ip_adapter/resampler.py
@@ -1,6 +1,7 @@
 # copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
 
-# tencent ailab comment: modified from https://github.com/mlfoundations/open_flamingo/blob/main/open_flamingo/src/helpers.py
+# tencent ailab comment: modified from
+# https://github.com/mlfoundations/open_flamingo/blob/main/open_flamingo/src/helpers.py
 import math
 
 import torch
diff --git a/invokeai/backend/ip_adapter/utils.py b/invokeai/backend/ip_adapter/utils.py
index 049d8163c2..d43cf12154 100644
--- a/invokeai/backend/ip_adapter/utils.py
+++ b/invokeai/backend/ip_adapter/utils.py
@@ -1,18 +1,16 @@
 # copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
 #   and modified as needed
 
-import inspect
-import warnings
-from typing import Any, Callable, Dict, List, Optional, Tuple, Union
+from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
 import PIL.Image
 import torch
 import torch.nn.functional as F
-from diffusers.utils import is_compiled_module
-from diffusers.pipelines.controlnet.multicontrolnet import MultiControlNetModel
 from diffusers.models import ControlNetModel
+from diffusers.pipelines.controlnet.multicontrolnet import MultiControlNetModel
 from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
+from diffusers.utils import is_compiled_module
 
 
 def is_torch2_available():
@@ -59,7 +57,8 @@ def generate(
         prompt (`str` or `List[str]`, *optional*):
             The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`.
             instead.
-        image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, `List[np.ndarray]`,:
+        image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`,
+        `List[np.ndarray]`,:
                 `List[List[torch.FloatTensor]]`, `List[List[np.ndarray]]` or `List[List[PIL.Image.Image]]`):
             The ControlNet input condition. ControlNet uses this input condition to generate guidance to Unet. If
             the type is specified as `Torch.FloatTensor`, it is passed to ControlNet as is. `PIL.Image.Image` can

From a69b1cd598a18c86d6ce58b081dda9af6c1fbfbd Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 11:54:50 +1200
Subject: [PATCH 022/265] chore: Add Versioning data to new adapters + update
 model paths

---
 invokeai/app/invocations/control_adapter.py | 28 ++++++++++-----------
 1 file changed, 13 insertions(+), 15 deletions(-)

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
index 93430654a0..3a2a46c060 100644
--- a/invokeai/app/invocations/control_adapter.py
+++ b/invokeai/app/invocations/control_adapter.py
@@ -1,17 +1,17 @@
-from builtins import bool, float
-from typing import Dict, List, Literal, Optional, Union
+from builtins import float
+from typing import List, Literal, Optional, Union
 
 from pydantic import BaseModel, Field, validator
+
 from invokeai.app.invocations.primitives import ImageField
 
 from ...backend.model_management import BaseModelType
-
 from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
     FieldDescriptions,
-    InputField,
     Input,
+    InputField,
     InvocationContext,
     OutputField,
     UIType,
@@ -80,7 +80,7 @@ class ControlOutput(BaseInvocationOutput):
     control: ControlField = OutputField(description=FieldDescriptions.control)
 
 
-@invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet")
+@invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet", version="1.0.0")
 class ControlNetInvocation(BaseInvocation):
     """Collects ControlNet info to pass to other nodes"""
 
@@ -122,20 +122,18 @@ class ControlNetInvocation(BaseInvocation):
 
 
 IP_ADAPTER_MODELS = Literal[
-    "models_ip_adapter/models/ip-adapter_sd15.bin",
-    "models_ip_adapter/models/ip-adapter-plus_sd15.bin",
-    "models_ip_adapter/models/ip-adapter-plus-face_sd15.bin",
-    "models_ip_adapter/sdxl_models/ip-adapter_sdxl.bin",
+    "models/core/ip_adapters/sd-1/ip-adapter_sd15.bin",
+    "models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin",
+    "models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin",
+    "models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin",
 ]
 
 IP_ADAPTER_IMAGE_ENCODER_MODELS = Literal[
-    "models_ip_adapter/models/image_encoder/",
-    "./models_ip_adapter/models/image_encoder/",
-    "models_ip_adapter/sdxl_models/image_encoder/",
+    "models/core/ip_adapters/sd-1/image_encoder/", "models/core/ip_adapters/sdxl/image_encoder"
 ]
 
 
-@invocation("ipadapter", title="IP-Adapter", tags=["ipadapter"], category="ipadapter")
+@invocation("ipadapter", title="IP-Adapter", tags=["ipadapter"], category="ipadapter", version="1.0.0")
 class IPAdapterInvocation(BaseInvocation):
     """Collects IP-Adapter info to pass to other nodes"""
 
@@ -147,10 +145,10 @@ class IPAdapterInvocation(BaseInvocation):
     #    default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
     # )
     ip_adapter_model: IP_ADAPTER_MODELS = InputField(
-        default="./models_ip_adapter/models/ip-adapter_sd15.bin", description="The IP-Adapter model"
+        default="models/core/ip_adapters/sd-1/ip-adapter_sd15.bin", description="The IP-Adapter model"
     )
     image_encoder_model: IP_ADAPTER_IMAGE_ENCODER_MODELS = InputField(
-        default="./models_ip_adapter/models/image_encoder/", description="The image encoder model"
+        default="models/core/ip_adapters/sd-1/image_encoder/", description="The image encoder model"
     )
     control_weight: Union[float, List[float]] = InputField(
         default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float

From 3ac68cde66efd1e67a50b719d02ba73c4572e60c Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 12:04:46 +1200
Subject: [PATCH 023/265] chore: flake8 cleanup

---
 invokeai/backend/ip_adapter/__init__.py       |  1 -
 .../stable_diffusion/diffusers_pipeline.py    | 20 ++++++-------------
 2 files changed, 6 insertions(+), 15 deletions(-)

diff --git a/invokeai/backend/ip_adapter/__init__.py b/invokeai/backend/ip_adapter/__init__.py
index 68cb7069a5..e69de29bb2 100644
--- a/invokeai/backend/ip_adapter/__init__.py
+++ b/invokeai/backend/ip_adapter/__init__.py
@@ -1 +0,0 @@
-from .ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 891a9b9fb0..2d3ae00dc2 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -5,20 +5,16 @@ import inspect
 from dataclasses import dataclass, field
 from typing import Any, Callable, List, Optional, Union
 
-import PIL.Image
 import einops
+import PIL.Image
 import psutil
 import torch
 import torchvision.transforms as T
 from diffusers.models import AutoencoderKL, UNet2DConditionModel
 from diffusers.models.controlnet import ControlNetModel
 from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
-from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import (
-    StableDiffusionPipeline,
-)
-from diffusers.pipelines.stable_diffusion.safety_checker import (
-    StableDiffusionSafetyChecker,
-)
+from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import StableDiffusionPipeline
+from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
 from diffusers.schedulers import KarrasDiffusionSchedulers
 from diffusers.schedulers.scheduling_utils import SchedulerMixin, SchedulerOutput
 from diffusers.utils.import_utils import is_xformers_available
@@ -27,15 +23,11 @@ from pydantic import Field
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
 from invokeai.app.services.config import InvokeAIAppConfig
-from .diffusion import (
-    AttentionMapSaver,
-    InvokeAIDiffuserComponent,
-    PostprocessingSettings,
-    BasicConditioningInfo,
-)
-from ..util import normalize_device, auto_detect_slice_size
 from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
 
+from ..util import auto_detect_slice_size, normalize_device
+from .diffusion import AttentionMapSaver, BasicConditioningInfo, InvokeAIDiffuserComponent, PostprocessingSettings
+
 
 @dataclass
 class PipelineIntermediateState:

From b0f91f2e755286b6306d9e03f6dc90df9c342822 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 12:12:19 +1200
Subject: [PATCH 024/265] fix: Remove types on adapter nodes. Superseded by the
 decorator

---
 invokeai/app/invocations/control_adapter.py | 8 +-------
 1 file changed, 1 insertion(+), 7 deletions(-)

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
index 3a2a46c060..b66a93ea5e 100644
--- a/invokeai/app/invocations/control_adapter.py
+++ b/invokeai/app/invocations/control_adapter.py
@@ -42,7 +42,7 @@ class ControlField(BaseModel):
     image: ImageField = Field(description="The control image")
     # control_model and ip_adapter_models are both optional
     #    but must be on the two present
-    # if control_type == "ControlNet", then mus be control_model
+    # if control_type == "ControlNet", then must be control_model
     # if control_type == "IP-Adapter", then must be ip_adapter_model
     control_model: Optional[ControlNetModelField] = Field(description="The ControlNet model to use")
     ip_adapter_model: Optional[str] = Field(description="The IP-Adapter model to use")
@@ -74,8 +74,6 @@ class ControlField(BaseModel):
 class ControlOutput(BaseInvocationOutput):
     """node output for ControlNet info"""
 
-    type: Literal["control_output"] = "control_output"
-
     # Outputs
     control: ControlField = OutputField(description=FieldDescriptions.control)
 
@@ -84,8 +82,6 @@ class ControlOutput(BaseInvocationOutput):
 class ControlNetInvocation(BaseInvocation):
     """Collects ControlNet info to pass to other nodes"""
 
-    type: Literal["controlnet"] = "controlnet"
-
     # Inputs
     image: ImageField = InputField(description="The control image")
     control_model: ControlNetModelField = InputField(
@@ -137,8 +133,6 @@ IP_ADAPTER_IMAGE_ENCODER_MODELS = Literal[
 class IPAdapterInvocation(BaseInvocation):
     """Collects IP-Adapter info to pass to other nodes"""
 
-    type: Literal["ipadapter"] = "ipadapter"
-
     # Inputs
     image: ImageField = InputField(description="The control image")
     # control_model: ControlNetModelField = InputField(

From cbd451c610227b5c925c3ec24ee5810a52e0fc98 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 12:13:08 +1200
Subject: [PATCH 025/265] chore: Regen Schema

---
 .../frontend/web/src/services/api/schema.d.ts | 107 +++++++++++++++---
 1 file changed, 89 insertions(+), 18 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 6e00d1b38b..b28707dab0 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1325,6 +1325,13 @@ export type components = {
     };
     /** ControlField */
     ControlField: {
+      /**
+       * Control Type
+       * @description The type of control adapter
+       * @default ControlNet
+       * @enum {string}
+       */
+      control_type?: "ControlNet" | "IP-Adapter" | "T2I-Adapter";
       /**
        * Image
        * @description The control image
@@ -1334,7 +1341,17 @@ export type components = {
        * Control Model
        * @description The ControlNet model to use
        */
-      control_model: components["schemas"]["ControlNetModelField"];
+      control_model?: components["schemas"]["ControlNetModelField"];
+      /**
+       * Ip Adapter Model
+       * @description The IP-Adapter model to use
+       */
+      ip_adapter_model?: string;
+      /**
+       * Image Encoder Model
+       * @description The clip_image_encoder model to use
+       */
+      image_encoder_model?: string;
       /**
        * Control Weight
        * @description The weight given to the ControlNet
@@ -1397,8 +1414,9 @@ export type components = {
       /**
        * Control Model
        * @description ControlNet model to load
+       * @default lllyasviel/sd-controlnet-canny
        */
-      control_model: components["schemas"]["ControlNetModelField"];
+      control_model?: components["schemas"]["ControlNetModelField"];
       /**
        * Control Weight
        * @description The weight given to the ControlNet
@@ -2212,7 +2230,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
       /**
        * Edges
@@ -2255,7 +2273,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
+        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
       };
       /**
        * Errors
@@ -2382,6 +2400,59 @@ export type components = {
        */
       scribble?: boolean;
     };
+    /**
+     * IP-Adapter
+     * @description Collects IP-Adapter info to pass to other nodes
+     */
+    IPAdapterInvocation: {
+      /**
+       * Id
+       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+       */
+      id: string;
+      /**
+       * Is Intermediate
+       * @description Whether or not this is an intermediate invocation.
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Workflow
+       * @description The workflow to save with the image
+       */
+      workflow?: string;
+      /**
+       * Image
+       * @description The control image
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Ip Adapter Model
+       * @description The IP-Adapter model
+       * @default models/core/ip_adapters/sd-1/ip-adapter_sd15.bin
+       * @enum {string}
+       */
+      ip_adapter_model?: "models/core/ip_adapters/sd-1/ip-adapter_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin" | "models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin";
+      /**
+       * Image Encoder Model
+       * @description The image encoder model
+       * @default models/core/ip_adapters/sd-1/image_encoder/
+       * @enum {string}
+       */
+      image_encoder_model?: "models/core/ip_adapters/sd-1/image_encoder/" | "models/core/ip_adapters/sdxl/image_encoder";
+      /**
+       * Control Weight
+       * @description The weight given to the ControlNet
+       * @default 1
+       */
+      control_weight?: number | number[];
+      /**
+       * Type
+       * @default ipadapter
+       * @enum {string}
+       */
+      type: "ipadapter";
+    };
     /**
      * Blur Image
      * @description Blurs an image
@@ -7041,18 +7112,6 @@ export type components = {
       /** Ui Order */
       ui_order?: number;
     };
-    /**
-     * StableDiffusion1ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionXLModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion2ModelFormat
      * @description An enumeration.
@@ -7065,6 +7124,18 @@ export type components = {
      * @enum {string}
      */
     ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusion1ModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionXLModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
@@ -7187,7 +7258,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -7228,7 +7299,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {

From c63390f6e1c8c7a9e5a57b23506e8b73abfa82f6 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 12:29:05 +1200
Subject: [PATCH 026/265] fix: Temporarily update the ControlField zod model

While we decide how to go ahead with this .
---
 invokeai/frontend/web/src/features/nodes/types/types.ts | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index 402ef4ac7a..ea416aa8ca 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -352,8 +352,11 @@ export const zControlNetModel = zModelIdentifier;
 export type ControlNetModel = z.infer<typeof zControlNetModel>;
 
 export const zControlField = z.object({
+  control_type: z.enum(['ControlNet', 'IP-Adapter', 'T2I-Adapter']).optional(),
   image: zImageField,
-  control_model: zControlNetModel,
+  control_model: zControlNetModel.optional(),
+  ip_adapter_model: z.string().optional(),
+  image_encoder_model: z.string().optional(),
   control_weight: z.union([z.number(), z.array(z.number())]).optional(),
   begin_step_percent: z.number().optional(),
   end_step_percent: z.number().optional(),

From 78195491bcca755775dae67d585a88860c30bf17 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 13:39:54 +1200
Subject: [PATCH 027/265] fix: Make the adapter models use new local paths

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

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
index b66a93ea5e..b1391e3857 100644
--- a/invokeai/app/invocations/control_adapter.py
+++ b/invokeai/app/invocations/control_adapter.py
@@ -164,8 +164,8 @@ class IPAdapterInvocation(BaseInvocation):
                 # control_model is currently optional
                 #    must be either a control_model or ip_adapter_model
                 # control_model=None,
-                ip_adapter_model=self.ip_adapter_model,
-                image_encoder_model=self.image_encoder_model,
+                ip_adapter_model=context.services.configuration.get_config().root_dir / self.ip_adapter_model,
+                image_encoder_model=context.services.configuration.get_config().root_dir / self.image_encoder_model,
                 control_weight=self.control_weight,
                 # rest are currently ignored
                 # begin_step_percent=self.begin_step_percent,

From 30ab81b6bbab2956f58d0bd6e48b9799a6c61bc3 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 13:50:21 +1200
Subject: [PATCH 028/265] fix: Update paths so they are serializable in the
 nodes

---
 invokeai/app/invocations/control_adapter.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
index b1391e3857..34561623d5 100644
--- a/invokeai/app/invocations/control_adapter.py
+++ b/invokeai/app/invocations/control_adapter.py
@@ -164,8 +164,12 @@ class IPAdapterInvocation(BaseInvocation):
                 # control_model is currently optional
                 #    must be either a control_model or ip_adapter_model
                 # control_model=None,
-                ip_adapter_model=context.services.configuration.get_config().root_dir / self.ip_adapter_model,
-                image_encoder_model=context.services.configuration.get_config().root_dir / self.image_encoder_model,
+                ip_adapter_model=(
+                    context.services.configuration.get_config().root_dir / self.ip_adapter_model
+                ).as_posix(),
+                image_encoder_model=(
+                    context.services.configuration.get_config().root_dir / self.image_encoder_model
+                ).as_posix(),
                 control_weight=self.control_weight,
                 # rest are currently ignored
                 # begin_step_percent=self.begin_step_percent,

From bd15874cf6fe60b2ae852b306678b40737ad3d56 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 5 Sep 2023 12:24:54 +1000
Subject: [PATCH 029/265] feat(nodes): add control_type validation & fix types

---
 invokeai/app/invocations/control_adapter.py | 23 ++++++++++++++-------
 1 file changed, 15 insertions(+), 8 deletions(-)

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
index 34561623d5..cbf3d78318 100644
--- a/invokeai/app/invocations/control_adapter.py
+++ b/invokeai/app/invocations/control_adapter.py
@@ -1,7 +1,7 @@
 from builtins import float
 from typing import List, Literal, Optional, Union
 
-from pydantic import BaseModel, Field, validator
+from pydantic import BaseModel, Field, root_validator, validator
 
 from invokeai.app.invocations.primitives import ImageField
 
@@ -40,13 +40,9 @@ class ControlNetModelField(BaseModel):
 class ControlField(BaseModel):
     control_type: CONTROL_ADAPTER_TYPES = Field(default="ControlNet", description="The type of control adapter")
     image: ImageField = Field(description="The control image")
-    # control_model and ip_adapter_models are both optional
-    #    but must be on the two present
-    # if control_type == "ControlNet", then must be control_model
-    # if control_type == "IP-Adapter", then must be ip_adapter_model
-    control_model: Optional[ControlNetModelField] = Field(description="The ControlNet model to use")
-    ip_adapter_model: Optional[str] = Field(description="The IP-Adapter model to use")
-    image_encoder_model: Optional[str] = Field(description="The clip_image_encoder model to use")
+    control_model: Optional[ControlNetModelField] = Field(default=None, description="The ControlNet model to use")
+    ip_adapter_model: Optional[str] = Field(default=None, description="The IP-Adapter model to use")
+    image_encoder_model: Optional[str] = Field(default=None, description="The clip_image_encoder model to use")
     control_weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet")
     begin_step_percent: float = Field(
         default=0, ge=0, le=1, description="When the ControlNet is first applied (% of total steps)"
@@ -57,6 +53,17 @@ class ControlField(BaseModel):
     control_mode: CONTROLNET_MODE_VALUES = Field(default="balanced", description="The control mode to use")
     resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode to use")
 
+    @root_validator
+    def validate_control_model(cls, values):
+        """Validate that an appropriate type of control model is provided"""
+        if values["control_type"] == "ControlNet":
+            if values.get("control_model") is None:
+                raise ValueError('ControlNet control_type requires "control_model" be provided')
+        elif values["control_type"] == "IP-Adapter":
+            if values.get("ip_adapter_model") is None:
+                raise ValueError('IP-Adapter control_type requires "ip_adapter_model" be provided')
+        return values
+
     @validator("control_weight")
     def validate_control_weight(cls, v):
         """Validate that all control weights in the valid range"""

From 95ecb1a0c1033820cd3d221f4cd4f503ce3b5c9f Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 5 Sep 2023 12:30:00 +1000
Subject: [PATCH 030/265] fix(ip_adapter): add None to types

---
 invokeai/backend/ip_adapter/utils.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/backend/ip_adapter/utils.py b/invokeai/backend/ip_adapter/utils.py
index d43cf12154..b500fd2570 100644
--- a/invokeai/backend/ip_adapter/utils.py
+++ b/invokeai/backend/ip_adapter/utils.py
@@ -20,7 +20,7 @@ def is_torch2_available():
 @torch.no_grad()
 def generate(
     self,
-    prompt: Union[str, List[str]] = None,
+    prompt: Union[str, List[str], None] = None,
     image: Union[
         torch.FloatTensor,
         PIL.Image.Image,
@@ -28,6 +28,7 @@ def generate(
         List[torch.FloatTensor],
         List[PIL.Image.Image],
         List[np.ndarray],
+        None,
     ] = None,
     height: Optional[int] = None,
     width: Optional[int] = None,

From 99fe95ab03a894ff33398b61e9d333090d1818d8 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 14:49:41 +1200
Subject: [PATCH 031/265] fix: Add validation for image_encoder model too

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

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
index cbf3d78318..673146a1ba 100644
--- a/invokeai/app/invocations/control_adapter.py
+++ b/invokeai/app/invocations/control_adapter.py
@@ -62,6 +62,8 @@ class ControlField(BaseModel):
         elif values["control_type"] == "IP-Adapter":
             if values.get("ip_adapter_model") is None:
                 raise ValueError('IP-Adapter control_type requires "ip_adapter_model" be provided')
+            if values.get("image_encoder_model") is None:
+                raise ValueError('IP-Adapter control_type requires "image_encoder_model" be provided')
         return values
 
     @validator("control_weight")

From 94ec3da7b51cf443993fd0d00b779f437b667891 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 5 Sep 2023 15:23:16 +1200
Subject: [PATCH 032/265] chore: regen scheme merge

---
 .../frontend/web/src/services/api/schema.d.ts | 117 ++++++++++++++----
 1 file changed, 94 insertions(+), 23 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index f4b87e15da..7fa0eef0d3 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1358,6 +1358,13 @@ export type components = {
     };
     /** ControlField */
     ControlField: {
+      /**
+       * Control Type
+       * @description The type of control adapter
+       * @default ControlNet
+       * @enum {string}
+       */
+      control_type?: "ControlNet" | "IP-Adapter" | "T2I-Adapter";
       /**
        * Image
        * @description The control image
@@ -1367,7 +1374,17 @@ export type components = {
        * Control Model
        * @description The ControlNet model to use
        */
-      control_model: components["schemas"]["ControlNetModelField"];
+      control_model?: components["schemas"]["ControlNetModelField"];
+      /**
+       * Ip Adapter Model
+       * @description The IP-Adapter model to use
+       */
+      ip_adapter_model?: string;
+      /**
+       * Image Encoder Model
+       * @description The clip_image_encoder model to use
+       */
+      image_encoder_model?: string;
       /**
        * Control Weight
        * @description The weight given to the ControlNet
@@ -1430,8 +1447,9 @@ export type components = {
       /**
        * Control Model
        * @description ControlNet model to load
+       * @default lllyasviel/sd-controlnet-canny
        */
-      control_model: components["schemas"]["ControlNetModelField"];
+      control_model?: components["schemas"]["ControlNetModelField"];
       /**
        * Control Weight
        * @description The weight given to the ControlNet
@@ -2245,7 +2263,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
       /**
        * Edges
@@ -2415,6 +2433,59 @@ export type components = {
        */
       scribble?: boolean;
     };
+    /**
+     * IP-Adapter
+     * @description Collects IP-Adapter info to pass to other nodes
+     */
+    IPAdapterInvocation: {
+      /**
+       * Id
+       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+       */
+      id: string;
+      /**
+       * Is Intermediate
+       * @description Whether or not this is an intermediate invocation.
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Workflow
+       * @description The workflow to save with the image
+       */
+      workflow?: string;
+      /**
+       * Image
+       * @description The control image
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Ip Adapter Model
+       * @description The IP-Adapter model
+       * @default models/core/ip_adapters/sd-1/ip-adapter_sd15.bin
+       * @enum {string}
+       */
+      ip_adapter_model?: "models/core/ip_adapters/sd-1/ip-adapter_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin" | "models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin";
+      /**
+       * Image Encoder Model
+       * @description The image encoder model
+       * @default models/core/ip_adapters/sd-1/image_encoder/
+       * @enum {string}
+       */
+      image_encoder_model?: "models/core/ip_adapters/sd-1/image_encoder/" | "models/core/ip_adapters/sdxl/image_encoder";
+      /**
+       * Control Weight
+       * @description The weight given to the ControlNet
+       * @default 1
+       */
+      control_weight?: number | number[];
+      /**
+       * Type
+       * @default ipadapter
+       * @enum {string}
+       */
+      type: "ipadapter";
+    };
     /**
      * Blur Image
      * @description Blurs an image
@@ -7105,24 +7176,6 @@ export type components = {
       /** Ui Order */
       ui_order?: number;
     };
-    /**
-     * StableDiffusionXLModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionOnnxModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
-    /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion2ModelFormat
      * @description An enumeration.
@@ -7135,6 +7188,24 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * ControlNetModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionXLModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionOnnxModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
   };
   responses: never;
   parameters: never;
@@ -7251,7 +7322,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -7292,7 +7363,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {

From 15d28bfdbf08a1f330ff2a558437ede77a200762 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Tue, 5 Sep 2023 16:54:29 -0400
Subject: [PATCH 033/265] add option to fetch metadata from api instead of
 reading off of png

---
 .../frontend/web/src/app/types/invokeai.ts    |  1 +
 .../CurrentImage/CurrentImageButtons.tsx      | 18 ++++++--
 .../SingleSelectionMenuItems.tsx              |  6 ++-
 .../ImageMetadataViewer.tsx                   | 19 +++++---
 .../web/src/services/api/endpoints/images.ts  | 43 +++++++++++++++----
 5 files changed, 67 insertions(+), 20 deletions(-)

diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts
index a39ed2ca7b..8b247327c7 100644
--- a/invokeai/frontend/web/src/app/types/invokeai.ts
+++ b/invokeai/frontend/web/src/app/types/invokeai.ts
@@ -45,6 +45,7 @@ export type AppConfig = {
    * Whether or not we should update image urls when image loading errors
    */
   shouldUpdateImagesOnConnect: boolean;
+  shouldFetchMetadataFromApi: boolean;
   disabledTabs: InvokeTabName[];
   disabledFeatures: AppFeature[];
   disabledSDFeatures: SDFeature[];
diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
index 846cf5a6f0..e5f0bc54f5 100644
--- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
@@ -27,7 +27,7 @@ import {
   setShouldShowImageDetails,
   setShouldShowProgressInViewer,
 } from 'features/ui/store/uiSlice';
-import { memo, useCallback } from 'react';
+import { memo, useCallback, useMemo } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import {
@@ -49,7 +49,7 @@ import SingleSelectionMenuItems from '../ImageContextMenu/SingleSelectionMenuIte
 
 const currentImageButtonsSelector = createSelector(
   [stateSelector, activeTabNameSelector],
-  ({ gallery, system, ui }, activeTabName) => {
+  ({ gallery, system, ui, config }, activeTabName) => {
     const { isProcessing, isConnected, shouldConfirmOnDelete, progressImage } =
       system;
 
@@ -59,6 +59,8 @@ const currentImageButtonsSelector = createSelector(
       shouldShowProgressInViewer,
     } = ui;
 
+    const { shouldFetchMetadataFromApi } = config;
+
     const lastSelectedImage = gallery.selection[gallery.selection.length - 1];
 
     return {
@@ -72,6 +74,7 @@ const currentImageButtonsSelector = createSelector(
       shouldHidePreview,
       shouldShowProgressInViewer,
       lastSelectedImage,
+      shouldFetchMetadataFromApi,
     };
   },
   {
@@ -92,6 +95,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
     shouldShowImageDetails,
     lastSelectedImage,
     shouldShowProgressInViewer,
+    shouldFetchMetadataFromApi,
   } = useAppSelector(currentImageButtonsSelector);
 
   const isUpscalingEnabled = useFeatureStatus('upscaling').isFeatureEnabled;
@@ -106,8 +110,16 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
     lastSelectedImage?.image_name ?? skipToken
   );
 
+  const getMetadataArg = useMemo(() => {
+    if (lastSelectedImage) {
+      return { image: lastSelectedImage, shouldFetchMetadataFromApi };
+    } else {
+      return skipToken;
+    }
+  }, [lastSelectedImage, shouldFetchMetadataFromApi]);
+
   const { metadata, workflow, isLoading } = useGetImageMetadataFromFileQuery(
-    lastSelectedImage ?? skipToken,
+    getMetadataArg,
     {
       selectFromResult: (res) => ({
         isLoading: res.isFetching,
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index 90272a3a86..46c84e85ce 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -1,6 +1,6 @@
 import { Flex, MenuItem, Spinner } from '@chakra-ui/react';
 import { useAppToaster } from 'app/components/Toaster';
-import { useAppDispatch } from 'app/store/storeHooks';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
 import {
   imagesToChangeSelected,
@@ -34,6 +34,7 @@ import {
 import { ImageDTO } from 'services/api/types';
 import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
 import { workflowLoadRequested } from 'features/nodes/store/actions';
+import { configSelector } from '../../../system/store/configSelectors';
 
 type SingleSelectionMenuItemsProps = {
   imageDTO: ImageDTO;
@@ -48,9 +49,10 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
   const toaster = useAppToaster();
 
   const isCanvasEnabled = useFeatureStatus('unifiedCanvas').isFeatureEnabled;
+  const { shouldFetchMetadataFromApi } = useAppSelector(configSelector);
 
   const { metadata, workflow, isLoading } = useGetImageMetadataFromFileQuery(
-    imageDTO,
+    { image: imageDTO, shouldFetchMetadataFromApi },
     {
       selectFromResult: (res) => ({
         isLoading: res.isFetching,
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
index ca3eab2dba..bec5125657 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
@@ -15,6 +15,8 @@ import { useGetImageMetadataFromFileQuery } from 'services/api/endpoints/images'
 import { ImageDTO } from 'services/api/types';
 import DataViewer from './DataViewer';
 import ImageMetadataActions from './ImageMetadataActions';
+import { useAppSelector } from '../../../../app/store/storeHooks';
+import { configSelector } from '../../../system/store/configSelectors';
 
 type ImageMetadataViewerProps = {
   image: ImageDTO;
@@ -27,12 +29,17 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => {
   //   dispatch(setShouldShowImageDetails(false));
   // });
 
-  const { metadata, workflow } = useGetImageMetadataFromFileQuery(image, {
-    selectFromResult: (res) => ({
-      metadata: res?.currentData?.metadata,
-      workflow: res?.currentData?.workflow,
-    }),
-  });
+  const { shouldFetchMetadataFromApi } = useAppSelector(configSelector);
+
+  const { metadata, workflow } = useGetImageMetadataFromFileQuery(
+    { image, shouldFetchMetadataFromApi },
+    {
+      selectFromResult: (res) => ({
+        metadata: res?.currentData?.metadata,
+        workflow: res?.currentData?.workflow,
+      }),
+    }
+  );
 
   return (
     <Flex
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index 6b04864815..fefeea206d 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -7,7 +7,7 @@ import {
   IMAGE_LIMIT,
 } from 'features/gallery/store/types';
 import { getMetadataAndWorkflowFromImageBlob } from 'features/nodes/util/getMetadataAndWorkflowFromImageBlob';
-import { keyBy } from 'lodash-es';
+import { isUndefined, keyBy } from 'lodash-es';
 import { ApiFullTagDescription, LIST_TAG, api } from '..';
 import { components, paths } from '../schema';
 import {
@@ -28,8 +28,12 @@ import {
 } from '../util';
 import { boardsApi } from './boards';
 import { ImageMetadataAndWorkflow } from 'features/nodes/types/types';
-import { fetchBaseQuery } from '@reduxjs/toolkit/dist/query';
+import {
+  FetchBaseQueryError,
+  fetchBaseQuery,
+} from '@reduxjs/toolkit/dist/query';
 import { $authToken, $projectId } from '../client';
+import { QueryReturnValue } from '@reduxjs/toolkit/dist/query/baseQueryTypes';
 
 export const imagesApi = api.injectEndpoints({
   endpoints: (build) => ({
@@ -117,8 +121,16 @@ export const imagesApi = api.injectEndpoints({
       ],
       keepUnusedDataFor: 86400, // 24 hours
     }),
-    getImageMetadataFromFile: build.query<ImageMetadataAndWorkflow, ImageDTO>({
-      queryFn: async (args: ImageDTO, api, extraOptions) => {
+    getImageMetadataFromFile: build.query<
+      ImageMetadataAndWorkflow,
+      { image: ImageDTO; shouldFetchMetadataFromApi: boolean }
+    >({
+      queryFn: async (
+        args: { image: ImageDTO; shouldFetchMetadataFromApi: boolean },
+        api,
+        extraOptions,
+        fetchWithBaseQuery
+      ) => {
         const authToken = $authToken.get();
         const projectId = $projectId.get();
         const customBaseQuery = fetchBaseQuery({
@@ -139,17 +151,30 @@ export const imagesApi = api.injectEndpoints({
         });
 
         const response = await customBaseQuery(
-          args.image_url,
+          args.image.image_url,
           api,
           extraOptions
         );
-        const data = await getMetadataAndWorkflowFromImageBlob(
+        const blobData = await getMetadataAndWorkflowFromImageBlob(
           response.data as Blob
         );
-        return { data };
+
+        let metadata = blobData.metadata;
+
+        if (args.shouldFetchMetadataFromApi) {
+          const metadataResult = await fetchWithBaseQuery(
+            `images/i/${args.image.image_name}/metadata`
+          );
+          if (metadataResult.data) {
+            metadata = (metadataResult.data as UnsafeImageMetadata)
+              .metadata as UnsafeImageMetadata['metadata'];
+          }
+        }
+
+        return { data: { ...blobData, metadata } };
       },
-      providesTags: (result, error, image_dto) => [
-        { type: 'ImageMetadataFromFile', id: image_dto.image_name },
+      providesTags: (result, error, { image, shouldFetchMetadataFromApi }) => [
+        { type: 'ImageMetadataFromFile', id: image.image_name },
       ],
       keepUnusedDataFor: 86400, // 24 hours
     }),

From 81ea742aea3ef6efe0ab16d9000787c3d645d973 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Tue, 5 Sep 2023 16:55:44 -0400
Subject: [PATCH 034/265] cleanup

---
 .../frontend/web/src/services/api/endpoints/images.ts     | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index fefeea206d..18adf4f12a 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -7,7 +7,7 @@ import {
   IMAGE_LIMIT,
 } from 'features/gallery/store/types';
 import { getMetadataAndWorkflowFromImageBlob } from 'features/nodes/util/getMetadataAndWorkflowFromImageBlob';
-import { isUndefined, keyBy } from 'lodash-es';
+import { keyBy } from 'lodash-es';
 import { ApiFullTagDescription, LIST_TAG, api } from '..';
 import { components, paths } from '../schema';
 import {
@@ -28,12 +28,8 @@ import {
 } from '../util';
 import { boardsApi } from './boards';
 import { ImageMetadataAndWorkflow } from 'features/nodes/types/types';
-import {
-  FetchBaseQueryError,
-  fetchBaseQuery,
-} from '@reduxjs/toolkit/dist/query';
+import { fetchBaseQuery } from '@reduxjs/toolkit/dist/query';
 import { $authToken, $projectId } from '../client';
-import { QueryReturnValue } from '@reduxjs/toolkit/dist/query/baseQueryTypes';
 
 export const imagesApi = api.injectEndpoints({
   endpoints: (build) => ({

From d776e0a0a98c3605cc99a0d42b79d533ff302d3a Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 6 Sep 2023 13:36:00 -0400
Subject: [PATCH 035/265] Split ControlField and IpAdapterField.

---
 invokeai/app/invocations/baseinvocation.py    |   9 +-
 invokeai/app/invocations/control_adapter.py   |  87 +--------
 invokeai/app/invocations/ip_adapter.py        |  74 ++++++++
 invokeai/app/invocations/latent.py            | 176 +++++++++---------
 .../stable_diffusion/diffusers_pipeline.py    |  47 ++---
 .../fields/inputs/IPAdapterInputField.tsx     |  17 ++
 .../web/src/features/nodes/types/constants.ts |   5 +
 .../web/src/features/nodes/types/types.ts     |  29 ++-
 .../nodes/util/fieldTemplateBuilders.ts       |  15 ++
 .../features/nodes/util/fieldValueBuilders.ts |   1 +
 10 files changed, 256 insertions(+), 204 deletions(-)
 create mode 100644 invokeai/app/invocations/ip_adapter.py
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterInputField.tsx

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 65a8734690..fc132b09ab 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -3,10 +3,10 @@
 from __future__ import annotations
 
 import json
+import re
 from abc import ABC, abstractmethod
 from enum import Enum
 from inspect import signature
-import re
 from typing import (
     TYPE_CHECKING,
     AbstractSet,
@@ -23,10 +23,10 @@ from typing import (
     get_type_hints,
 )
 
-from pydantic import BaseModel, Field, validator
-from pydantic.fields import Undefined, ModelField
-from pydantic.typing import NoArgAnyCallable
 import semver
+from pydantic import BaseModel, Field, validator
+from pydantic.fields import ModelField, Undefined
+from pydantic.typing import NoArgAnyCallable
 
 if TYPE_CHECKING:
     from ..services.invocation_services import InvocationServices
@@ -65,6 +65,7 @@ class FieldDescriptions:
     width = "Width of output (px)"
     height = "Height of output (px)"
     control = "ControlNet(s) to apply"
+    ip_adapter = "IP-Adapter to apply"
     denoised_latents = "Denoised latents tensor"
     latents = "Latents tensor"
     strength = "Strength of denoising (proportional to steps)"
diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
index 673146a1ba..31fd788af2 100644
--- a/invokeai/app/invocations/control_adapter.py
+++ b/invokeai/app/invocations/control_adapter.py
@@ -19,8 +19,6 @@ from .baseinvocation import (
     invocation_output,
 )
 
-CONTROL_ADAPTER_TYPES = Literal["ControlNet", "IP-Adapter", "T2I-Adapter"]
-
 CONTROLNET_MODE_VALUES = Literal["balanced", "more_prompt", "more_control", "unbalanced"]
 CONTROLNET_RESIZE_VALUES = Literal[
     "just_resize",
@@ -38,11 +36,8 @@ class ControlNetModelField(BaseModel):
 
 
 class ControlField(BaseModel):
-    control_type: CONTROL_ADAPTER_TYPES = Field(default="ControlNet", description="The type of control adapter")
     image: ImageField = Field(description="The control image")
-    control_model: Optional[ControlNetModelField] = Field(default=None, description="The ControlNet model to use")
-    ip_adapter_model: Optional[str] = Field(default=None, description="The IP-Adapter model to use")
-    image_encoder_model: Optional[str] = Field(default=None, description="The clip_image_encoder model to use")
+    control_model: ControlNetModelField = Field(description="The ControlNet model to use")
     control_weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet")
     begin_step_percent: float = Field(
         default=0, ge=0, le=1, description="When the ControlNet is first applied (% of total steps)"
@@ -53,19 +48,6 @@ class ControlField(BaseModel):
     control_mode: CONTROLNET_MODE_VALUES = Field(default="balanced", description="The control mode to use")
     resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode to use")
 
-    @root_validator
-    def validate_control_model(cls, values):
-        """Validate that an appropriate type of control model is provided"""
-        if values["control_type"] == "ControlNet":
-            if values.get("control_model") is None:
-                raise ValueError('ControlNet control_type requires "control_model" be provided')
-        elif values["control_type"] == "IP-Adapter":
-            if values.get("ip_adapter_model") is None:
-                raise ValueError('IP-Adapter control_type requires "ip_adapter_model" be provided')
-            if values.get("image_encoder_model") is None:
-                raise ValueError('IP-Adapter control_type requires "image_encoder_model" be provided')
-        return values
-
     @validator("control_weight")
     def validate_control_weight(cls, v):
         """Validate that all control weights in the valid range"""
@@ -111,12 +93,8 @@ class ControlNetInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> ControlOutput:
         return ControlOutput(
             control=ControlField(
-                control_type="ControlNet",
                 image=self.image,
                 control_model=self.control_model,
-                # ip_adapter_model is currently optional
-                #    must be either a control_model or ip_adapter_model
-                # ip_adapter_model=None,
                 control_weight=self.control_weight,
                 begin_step_percent=self.begin_step_percent,
                 end_step_percent=self.end_step_percent,
@@ -124,66 +102,3 @@ class ControlNetInvocation(BaseInvocation):
                 resize_mode=self.resize_mode,
             ),
         )
-
-
-IP_ADAPTER_MODELS = Literal[
-    "models/core/ip_adapters/sd-1/ip-adapter_sd15.bin",
-    "models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin",
-    "models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin",
-    "models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin",
-]
-
-IP_ADAPTER_IMAGE_ENCODER_MODELS = Literal[
-    "models/core/ip_adapters/sd-1/image_encoder/", "models/core/ip_adapters/sdxl/image_encoder"
-]
-
-
-@invocation("ipadapter", title="IP-Adapter", tags=["ipadapter"], category="ipadapter", version="1.0.0")
-class IPAdapterInvocation(BaseInvocation):
-    """Collects IP-Adapter info to pass to other nodes"""
-
-    # Inputs
-    image: ImageField = InputField(description="The control image")
-    # control_model: ControlNetModelField = InputField(
-    #    default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
-    # )
-    ip_adapter_model: IP_ADAPTER_MODELS = InputField(
-        default="models/core/ip_adapters/sd-1/ip-adapter_sd15.bin", description="The IP-Adapter model"
-    )
-    image_encoder_model: IP_ADAPTER_IMAGE_ENCODER_MODELS = InputField(
-        default="models/core/ip_adapters/sd-1/image_encoder/", description="The image encoder model"
-    )
-    control_weight: Union[float, List[float]] = InputField(
-        default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
-    )
-    # begin_step_percent: float = InputField(
-    #     default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
-    # )
-    # end_step_percent: float = InputField(
-    #     default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
-    # )
-    # control_mode: CONTROLNET_MODE_VALUES = InputField(default="balanced", description="The control mode used")
-    # resize_mode: CONTROLNET_RESIZE_VALUES = InputField(default="just_resize", description="The resize mode used")
-
-    def invoke(self, context: InvocationContext) -> ControlOutput:
-        return ControlOutput(
-            control=ControlField(
-                control_type="IP-Adapter",
-                image=self.image,
-                # control_model is currently optional
-                #    must be either a control_model or ip_adapter_model
-                # control_model=None,
-                ip_adapter_model=(
-                    context.services.configuration.get_config().root_dir / self.ip_adapter_model
-                ).as_posix(),
-                image_encoder_model=(
-                    context.services.configuration.get_config().root_dir / self.image_encoder_model
-                ).as_posix(),
-                control_weight=self.control_weight,
-                # rest are currently ignored
-                # begin_step_percent=self.begin_step_percent,
-                # end_step_percent=self.end_step_percent,
-                # control_mode=self.control_mode,
-                # resize_mode=self.resize_mode,
-            ),
-        )
diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
new file mode 100644
index 0000000000..b76b4429df
--- /dev/null
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -0,0 +1,74 @@
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from invokeai.app.invocations.baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    FieldDescriptions,
+    InputField,
+    InvocationContext,
+    OutputField,
+    UIType,
+    invocation,
+    invocation_output,
+)
+from invokeai.app.invocations.primitives import ImageField
+
+IP_ADAPTER_MODELS = Literal[
+    "models/core/ip_adapters/sd-1/ip-adapter_sd15.bin",
+    "models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin",
+    "models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin",
+    "models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin",
+]
+
+IP_ADAPTER_IMAGE_ENCODER_MODELS = Literal[
+    "models/core/ip_adapters/sd-1/image_encoder/", "models/core/ip_adapters/sdxl/image_encoder"
+]
+
+
+class IPAdapterField(BaseModel):
+    image: ImageField = Field(description="The IP-Adapter image prompt.")
+
+    # TODO(ryand): Create and use a custom `IpAdapterModelField`.
+    ip_adapter_model: str = Field(description="The name of the IP-Adapter model.")
+
+    # TODO(ryand): Create and use a `CLIPImageEncoderField` instead that is analogous to the `ClipField` used elsewhere.
+    image_encoder_model: str = Field(description="The name of the CLIP image encoder model.")
+
+    weight: float = Field(default=1.0, ge=0, description="The weight of the IP-Adapter.")
+
+
+@invocation_output("ip_adapter_output")
+class IPAdapterOutput(BaseInvocationOutput):
+    # Outputs
+    ip_adapter: IPAdapterField = OutputField(description=FieldDescriptions.ip_adapter)
+
+
+@invocation("ip_adapter", title="IP-Adapter", tags=["ip_adapter", "control"], category="ip_adapter", version="1.0.0")
+class IPAdapterInvocation(BaseInvocation):
+    """Collects IP-Adapter info to pass to other nodes."""
+
+    # Inputs
+    image: ImageField = InputField(description="The IP-Adapter image prompt.")
+    ip_adapter_model: IP_ADAPTER_MODELS = InputField(
+        default="models/core/ip_adapters/sd-1/ip-adapter_sd15.bin", description="The name of the IP-Adapter model."
+    )
+    image_encoder_model: IP_ADAPTER_IMAGE_ENCODER_MODELS = InputField(
+        default="models/core/ip_adapters/sd-1/image_encoder/", description="The name of the CLIP image encoder model."
+    )
+    weight: float = InputField(default=1.0, description="The weight of the IP-Adapter.", ui_type=UIType.Float)
+
+    def invoke(self, context: InvocationContext) -> IPAdapterOutput:
+        return IPAdapterOutput(
+            ip_adapter=IPAdapterField(
+                image=self.image,
+                ip_adapter_model=(
+                    context.services.configuration.get_config().root_dir / self.ip_adapter_model
+                ).as_posix(),
+                image_encoder_model=(
+                    context.services.configuration.get_config().root_dir / self.image_encoder_model
+                ).as_posix(),
+                weight=self.weight,
+            ),
+        )
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 2252dcee8f..aa52253562 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -19,6 +19,7 @@ from diffusers.schedulers import SchedulerMixin as Scheduler
 from pydantic import validator
 from torchvision.transforms.functional import resize as tv_resize
 
+from invokeai.app.invocations.ip_adapter import IPAdapterField
 from invokeai.app.invocations.metadata import CoreMetadata
 from invokeai.app.invocations.primitives import (
     DenoiseMaskField,
@@ -34,8 +35,8 @@ from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
 
 from ...backend.model_management.lora import ModelPatcher
-from ...backend.model_management.seamless import set_seamless
 from ...backend.model_management.models import BaseModelType
+from ...backend.model_management.seamless import set_seamless
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
     ConditioningData,
@@ -44,7 +45,9 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
     StableDiffusionGeneratorPipeline,
     image_resized_to_grid_as_tensor,
 )
-from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
+from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import (
+    PostprocessingSettings,
+)
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
 from ...backend.util.devices import choose_precision, choose_torch_device
 from ..models.image import ImageCategory, ResourceOrigin
@@ -64,7 +67,6 @@ from .compel import ConditioningField
 from .control_adapter import ControlField
 from .model import ModelInfo, UNetField, VaeField
 
-
 DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
 SAMPLER_NAME_VALUES = Literal[tuple(list(SCHEDULER_MAP.keys()))]
@@ -217,13 +219,13 @@ class DenoiseLatentsInvocation(BaseInvocation):
         input=Input.Connection,
         ui_order=5,
     )
+    ip_adapter: Optional[IPAdapterField] = InputField(
+        description=FieldDescriptions.ip_adapter, default=None, input=Input.Connection, ui_order=6
+    )
     latents: Optional[LatentsField] = InputField(description=FieldDescriptions.latents, input=Input.Connection)
     denoise_mask: Optional[DenoiseMaskField] = InputField(
-        default=None, description=FieldDescriptions.mask, input=Input.Connection, ui_order=6
+        default=None, description=FieldDescriptions.mask, input=Input.Connection, ui_order=7
     )
-    # ip_adapter_image: Optional[ImageField] = InputField(input=Input.Connection, title="IP Adapter Image", ui_order=6)
-    # ip_adapter_strength: float = InputField(default=1.0, ge=0, le=2, ui_type=UIType.Float,
-    #                                        title="IP Adapter Strength", ui_order=7)
 
     @validator("cfg_scale")
     def ge_one(cls, v):
@@ -324,8 +326,6 @@ class DenoiseLatentsInvocation(BaseInvocation):
     def prep_control_data(
         self,
         context: InvocationContext,
-        # really only need model for dtype and device
-        model: StableDiffusionGeneratorPipeline,
         control_input: Union[ControlField, List[ControlField]],
         latents_shape: List[int],
         exit_stack: ExitStack,
@@ -345,71 +345,73 @@ class DenoiseLatentsInvocation(BaseInvocation):
         else:
             control_list = None
         if control_list is None:
-            controlnet_data = None
-            ip_adapter_data = None
-            # from above handling, any control that is not None should now be of type list[ControlField]
-        else:
-            # FIXME: add checks to skip entry if model or image is None
-            #        and if weight is None, populate with default 1.0?
-            controlnet_data = []
-            ip_adapter_data = []
-            # control_models = []
-            for control_info in control_list:
-                if control_info.control_type == "ControlNet":
-                    control_model = exit_stack.enter_context(
-                        context.services.model_manager.get_model(
-                            model_name=control_info.control_model.model_name,
-                            model_type=ModelType.ControlNet,
-                            base_model=control_info.control_model.base_model,
-                            context=context,
-                        )
-                    )
+            return None
+        # After above handling, any control that is not None should now be of type list[ControlField].
 
-                    # control_models.append(control_model)
-                    control_image_field = control_info.image
-                    input_image = context.services.images.get_pil_image(control_image_field.image_name)
-                    # self.image.image_type, self.image.image_name
-                    # FIXME: still need to test with different widths, heights, devices, dtypes
-                    #        and add in batch_size, num_images_per_prompt?
-                    #        and do real check for classifier_free_guidance?
-                    # prepare_control_image should return torch.Tensor of shape(batch_size, 3, height, width)
-                    control_image = prepare_control_image(
-                        image=input_image,
-                        do_classifier_free_guidance=do_classifier_free_guidance,
-                        width=control_width_resize,
-                        height=control_height_resize,
-                        # batch_size=batch_size * num_images_per_prompt,
-                        # num_images_per_prompt=num_images_per_prompt,
-                        device=control_model.device,
-                        dtype=control_model.dtype,
-                        control_mode=control_info.control_mode,
-                        resize_mode=control_info.resize_mode,
-                    )
-                    control_item = ControlNetData(
-                        model=control_model,  # model object
-                        image_tensor=control_image,
-                        weight=control_info.control_weight,
-                        begin_step_percent=control_info.begin_step_percent,
-                        end_step_percent=control_info.end_step_percent,
-                        control_mode=control_info.control_mode,
-                        # any resizing needed should currently be happening in prepare_control_image(),
-                        #    but adding resize_mode to ControlNetData in case needed in the future
-                        resize_mode=control_info.resize_mode,
-                    )
-                    controlnet_data.append(control_item)
-                    # MultiControlNetModel has been refactored out, just need list[ControlNetData]
-                elif control_info.control_type == "IP-Adapter":
-                    control_image_field = control_info.image
-                    input_image = context.services.images.get_pil_image(control_image_field.image_name)
-                    control_item = IPAdapterData(
-                        ip_adapter_model=control_info.ip_adapter_model,  # name of model (NOT model object)
-                        image_encoder_model=control_info.image_encoder_model,  # name of model (NOT model obj)
-                        image=input_image,
-                        weight=control_info.control_weight,
-                    )
-                    ip_adapter_data.append(control_item)
+        # FIXME: add checks to skip entry if model or image is None
+        #        and if weight is None, populate with default 1.0?
+        controlnet_data = []
+        for control_info in control_list:
+            control_model = exit_stack.enter_context(
+                context.services.model_manager.get_model(
+                    model_name=control_info.control_model.model_name,
+                    model_type=ModelType.ControlNet,
+                    base_model=control_info.control_model.base_model,
+                    context=context,
+                )
+            )
 
-        return controlnet_data, ip_adapter_data
+            # control_models.append(control_model)
+            control_image_field = control_info.image
+            input_image = context.services.images.get_pil_image(control_image_field.image_name)
+            # self.image.image_type, self.image.image_name
+            # FIXME: still need to test with different widths, heights, devices, dtypes
+            #        and add in batch_size, num_images_per_prompt?
+            #        and do real check for classifier_free_guidance?
+            # prepare_control_image should return torch.Tensor of shape(batch_size, 3, height, width)
+            control_image = prepare_control_image(
+                image=input_image,
+                do_classifier_free_guidance=do_classifier_free_guidance,
+                width=control_width_resize,
+                height=control_height_resize,
+                # batch_size=batch_size * num_images_per_prompt,
+                # num_images_per_prompt=num_images_per_prompt,
+                device=control_model.device,
+                dtype=control_model.dtype,
+                control_mode=control_info.control_mode,
+                resize_mode=control_info.resize_mode,
+            )
+            control_item = ControlNetData(
+                model=control_model,  # model object
+                image_tensor=control_image,
+                weight=control_info.control_weight,
+                begin_step_percent=control_info.begin_step_percent,
+                end_step_percent=control_info.end_step_percent,
+                control_mode=control_info.control_mode,
+                # any resizing needed should currently be happening in prepare_control_image(),
+                #    but adding resize_mode to ControlNetData in case needed in the future
+                resize_mode=control_info.resize_mode,
+            )
+            controlnet_data.append(control_item)
+            # MultiControlNetModel has been refactored out, just need list[ControlNetData]
+
+        return controlnet_data
+
+    def prep_ip_adapter_data(
+        self,
+        context: InvocationContext,
+        ip_adapter: Optional[IPAdapterField],
+    ) -> IPAdapterData:
+        if ip_adapter is None:
+            return None
+
+        input_image = context.services.images.get_pil_image(ip_adapter.image.image_name)
+        return IPAdapterData(
+            ip_adapter_model=ip_adapter.ip_adapter_model,  # name of model, NOT model object.
+            image_encoder_model=ip_adapter.image_encoder_model,  # name of model, NOT model object.
+            image=input_image,
+            weight=ip_adapter.weight,
+        )
 
     # original idea by https://github.com/AmericanPresidentJimmyCarter
     # TODO: research more for second order schedulers timesteps
@@ -503,9 +505,12 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 **self.unet.unet.dict(),
                 context=context,
             )
-            with ExitStack() as exit_stack, ModelPatcher.apply_lora_unet(
-                unet_info.context.model, _lora_loader()
-            ), set_seamless(unet_info.context.model, self.unet.seamless_axes), unet_info as unet:
+            with (
+                ExitStack() as exit_stack,
+                ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()),
+                set_seamless(unet_info.context.model, self.unet.seamless_axes),
+                unet_info as unet,
+            ):
                 latents = latents.to(device=unet.device, dtype=unet.dtype)
                 if noise is not None:
                     noise = noise.to(device=unet.device, dtype=unet.dtype)
@@ -524,15 +529,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 pipeline = self.create_pipeline(unet, scheduler)
                 conditioning_data = self.get_conditioning_data(context, scheduler, unet, seed)
 
-                # if self.ip_adapter_image is not None:
-                #     print("ip_adapter_image:", self.ip_adapter_image)
-                #     unwrapped_ip_adapter_image = context.services.images.get_pil_image(self.ip_adapter_image.image_name)
-                #     print("unwrapped ip_adapter_image:", unwrapped_ip_adapter_image)
-                # else:
-                #     unwrapped_ip_adapter_image = None
-
-                controlnet_data, ip_adapter_data = self.prep_control_data(
-                    model=pipeline,
+                controlnet_data = self.prep_control_data(
                     context=context,
                     control_input=self.control,
                     latents_shape=latents.shape,
@@ -540,8 +537,11 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     do_classifier_free_guidance=True,
                     exit_stack=exit_stack,
                 )
-                print("controlnet_data:", controlnet_data)
-                print("ip_adapter_data:", ip_adapter_data)
+
+                ip_adapter_data = self.prep_ip_adapter_data(
+                    context=context,
+                    ip_adapter=self.ip_adapter,
+                )
 
                 num_inference_steps, timesteps, init_timestep = self.init_scheduler(
                     scheduler,
@@ -562,9 +562,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     num_inference_steps=num_inference_steps,
                     conditioning_data=conditioning_data,
                     control_data=controlnet_data,  # list[ControlNetData],
-                    ip_adapter_data=ip_adapter_data,  # list[IPAdapterData],
-                    #                    ip_adapter_image=unwrapped_ip_adapter_image,
-                    #                    ip_adapter_strength=self.ip_adapter_strength,
+                    ip_adapter_data=ip_adapter_data,  # IPAdapterData,
                     callback=step_callback,
                 )
 
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 2d3ae00dc2..cf0dc7f571 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -13,8 +13,12 @@ import torchvision.transforms as T
 from diffusers.models import AutoencoderKL, UNet2DConditionModel
 from diffusers.models.controlnet import ControlNetModel
 from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
-from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import StableDiffusionPipeline
-from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
+from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import (
+    StableDiffusionPipeline,
+)
+from diffusers.pipelines.stable_diffusion.safety_checker import (
+    StableDiffusionSafetyChecker,
+)
 from diffusers.schedulers import KarrasDiffusionSchedulers
 from diffusers.schedulers.scheduling_utils import SchedulerMixin, SchedulerOutput
 from diffusers.utils.import_utils import is_xformers_available
@@ -26,7 +30,12 @@ from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
 
 from ..util import auto_detect_slice_size, normalize_device
-from .diffusion import AttentionMapSaver, BasicConditioningInfo, InvokeAIDiffuserComponent, PostprocessingSettings
+from .diffusion import (
+    AttentionMapSaver,
+    BasicConditioningInfo,
+    InvokeAIDiffuserComponent,
+    PostprocessingSettings,
+)
 
 
 @dataclass
@@ -96,7 +105,7 @@ class AddsMaskGuidance:
         # Mask anything that has the same shape as prev_sample, return others as-is.
         return output_class(
             {
-                k: (self.apply_mask(v, self._t_for_field(k, t)) if are_like_tensors(prev_sample, v) else v)
+                k: self.apply_mask(v, self._t_for_field(k, t)) if are_like_tensors(prev_sample, v) else v
                 for k, v in step_output.items()
             }
         )
@@ -360,7 +369,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         additional_guidance: List[Callable] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
         control_data: List[ControlNetData] = None,
-        ip_adapter_data: IPAdapterData = None,
+        ip_adapter_data: Optional[IPAdapterData] = None,
         mask: Optional[torch.Tensor] = None,
         masked_latents: Optional[torch.Tensor] = None,
         seed: Optional[int] = None,
@@ -432,7 +441,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         *,
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
-        ip_adapter_data: List[IPAdapterData] = None,
+        ip_adapter_data: Optional[IPAdapterData] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
     ):
         self._adjust_memory_efficient_attention(latents)
@@ -445,12 +454,8 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if timesteps.shape[0] == 0:
             return latents, attention_map_saver
 
-        # print("ip_adapter_image: ", type(ip_adapter_image))
-        if ip_adapter_data is not None and len(ip_adapter_data) > 0:
-            ip_adapter_info = ip_adapter_data[0]
-            ip_adapter_image = ip_adapter_info.image
-            # initialize IPAdapter
-            print("   width:", ip_adapter_image.width, " height:", ip_adapter_image.height)
+        if ip_adapter_data is not None:
+            # Initialize IPAdapter
             # FIXME:
             #   WARNING!
             #   IPAdapter constructor modifies UNet model in-place
@@ -459,17 +464,17 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             #       and how to undo if ip_adapter_image is removed
             #   Should reimplement to use existing model management context etc.
             #
-            if "sdxl" in ip_adapter_info.ip_adapter_model:
+            if "sdxl" in ip_adapter_data.ip_adapter_model:
                 print("using IPAdapterXL")
                 ip_adapter = IPAdapterXL(
-                    self, ip_adapter_info.image_encoder_model, ip_adapter_info.ip_adapter_model, self.unet.device
+                    self, ip_adapter_data.image_encoder_model, ip_adapter_data.ip_adapter_model, self.unet.device
                 )
-            elif "plus" in ip_adapter_info.ip_adapter_model:
+            elif "plus" in ip_adapter_data.ip_adapter_model:
                 print("using IPAdapterPlus")
                 ip_adapter = IPAdapterPlus(
                     self,  # IPAdapterPlus first arg is StableDiffusionPipeline
-                    ip_adapter_info.image_encoder_model,
-                    ip_adapter_info.ip_adapter_model,
+                    ip_adapter_data.image_encoder_model,
+                    ip_adapter_data.ip_adapter_model,
                     self.unet.device,
                     num_tokens=16,
                 )
@@ -477,18 +482,18 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 print("using IPAdapter")
                 ip_adapter = IPAdapter(
                     self,  # IPAdapter first arg is StableDiffusionPipeline
-                    ip_adapter_info.image_encoder_model,
-                    ip_adapter_info.ip_adapter_model,
+                    ip_adapter_data.image_encoder_model,
+                    ip_adapter_data.ip_adapter_model,
                     self.unet.device,
                 )
             # IP-Adapter ==> add additional cross-attention layers to UNet model here?
-            ip_adapter.set_scale(ip_adapter_info.weight)
+            ip_adapter.set_scale(ip_adapter_data.weight)
             print("ip_adapter:", ip_adapter)
 
             # get image embedding from CLIP and ImageProjModel
             print("getting image embeddings from IP-Adapter...")
             num_samples = 1  # hardwiring for first pass
-            image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter.get_image_embeds(ip_adapter_image)
+            image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter.get_image_embeds(ip_adapter_data.image)
             print("image cond   embeds shape:", image_prompt_embeds.shape)
             print("image uncond embeds shape:", uncond_image_prompt_embeds.shape)
             bs_embed, seq_len, _ = image_prompt_embeds.shape
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterInputField.tsx
new file mode 100644
index 0000000000..5d5567e515
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterInputField.tsx
@@ -0,0 +1,17 @@
+import {
+  IPAdapterInputFieldTemplate,
+  IPAdapterInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const IPAdapterInputFieldComponent = (
+  _props: FieldComponentProps<
+    IPAdapterInputFieldValue,
+    IPAdapterInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(IPAdapterInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index a12c1fbddc..cd91607cd6 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -235,6 +235,11 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     description: 'A collection of integers.',
     title: 'Integer Polymorphic',
   },
+  IPAdapterField: {
+    color: 'green.300',
+    description: 'IP-Adapter info passed between nodes.',
+    title: 'IP-Adapter',
+  },
   LatentsCollection: {
     color: 'pink.500',
     description: 'Latents may be passed between nodes.',
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index ea416aa8ca..076b0e0aff 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -93,6 +93,7 @@ export const zFieldType = z.enum([
   'integer',
   'IntegerCollection',
   'IntegerPolymorphic',
+  'IPAdapterField',
   'LatentsCollection',
   'LatentsField',
   'LatentsPolymorphic',
@@ -352,11 +353,8 @@ export const zControlNetModel = zModelIdentifier;
 export type ControlNetModel = z.infer<typeof zControlNetModel>;
 
 export const zControlField = z.object({
-  control_type: z.enum(['ControlNet', 'IP-Adapter', 'T2I-Adapter']).optional(),
   image: zImageField,
-  control_model: zControlNetModel.optional(),
-  ip_adapter_model: z.string().optional(),
-  image_encoder_model: z.string().optional(),
+  control_model: zControlNetModel,
   control_weight: z.union([z.number(), z.array(z.number())]).optional(),
   begin_step_percent: z.number().optional(),
   end_step_percent: z.number().optional(),
@@ -391,6 +389,22 @@ export type ControlCollectionInputFieldValue = z.infer<
   typeof zControlCollectionInputFieldValue
 >;
 
+export const zIPAdapterField = z.object({
+  image: zImageField,
+  ip_adapter_model: z.string().trim().min(1),
+  image_encoder_model: z.string().trim().min(1),
+  weight: z.number(),
+});
+export type IPAdapterField = z.infer<typeof zIPAdapterField>;
+
+export const zIPAdapterInputFieldValue = zInputFieldValueBase.extend({
+  type: z.literal('IPAdapterField'),
+  value: zIPAdapterField.optional(),
+});
+export type IPAdapterInputFieldValue = z.infer<
+  typeof zIPAdapterInputFieldValue
+>;
+
 export const zModelType = z.enum([
   'onnx',
   'main',
@@ -622,6 +636,7 @@ export const zInputFieldValue = z.discriminatedUnion('type', [
   zIntegerCollectionInputFieldValue,
   zIntegerPolymorphicInputFieldValue,
   zIntegerInputFieldValue,
+  zIPAdapterInputFieldValue,
   zLatentsInputFieldValue,
   zLatentsCollectionInputFieldValue,
   zLatentsPolymorphicInputFieldValue,
@@ -824,6 +839,11 @@ export type ControlPolymorphicInputFieldTemplate = Omit<
   type: 'ControlPolymorphic';
 };
 
+export type IPAdapterInputFieldTemplate = InputFieldTemplateBase & {
+  default: undefined;
+  type: 'IPAdapterField';
+};
+
 export type EnumInputFieldTemplate = InputFieldTemplateBase & {
   default: string | number;
   type: 'enum';
@@ -932,6 +952,7 @@ export type InputFieldTemplate =
   | IntegerCollectionInputFieldTemplate
   | IntegerPolymorphicInputFieldTemplate
   | IntegerInputFieldTemplate
+  | IPAdapterInputFieldTemplate
   | LatentsInputFieldTemplate
   | LatentsCollectionInputFieldTemplate
   | LatentsPolymorphicInputFieldTemplate
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index 20463f37f6..ed15aeef5b 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -60,6 +60,7 @@ import {
   ImageField,
   LatentsField,
   ConditioningField,
+  IPAdapterInputFieldTemplate,
 } from '../types/types';
 import { ControlField } from 'services/api/types';
 
@@ -648,6 +649,19 @@ const buildControlCollectionInputFieldTemplate = ({
   return template;
 };
 
+const buildIPAdapterInputFieldTemplate = ({
+  schemaObject,
+  baseField,
+}: BuildInputFieldArg): IPAdapterInputFieldTemplate => {
+  const template: IPAdapterInputFieldTemplate = {
+    ...baseField,
+    type: 'IPAdapterField',
+    default: schemaObject.default ?? undefined,
+  };
+
+  return template;
+};
+
 const buildEnumInputFieldTemplate = ({
   schemaObject,
   baseField,
@@ -851,6 +865,7 @@ const TEMPLATE_BUILDER_MAP = {
   integer: buildIntegerInputFieldTemplate,
   IntegerCollection: buildIntegerCollectionInputFieldTemplate,
   IntegerPolymorphic: buildIntegerPolymorphicInputFieldTemplate,
+  IPAdapterField: buildIPAdapterInputFieldTemplate,
   LatentsCollection: buildLatentsCollectionInputFieldTemplate,
   LatentsField: buildLatentsInputFieldTemplate,
   LatentsPolymorphic: buildLatentsPolymorphicInputFieldTemplate,
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
index a3046feee7..8ea7ce58ff 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
@@ -29,6 +29,7 @@ const FIELD_VALUE_FALLBACK_MAP = {
   integer: 0,
   IntegerCollection: [],
   IntegerPolymorphic: 0,
+  IPAdapterField: undefined,
   LatentsCollection: [],
   LatentsField: undefined,
   LatentsPolymorphic: undefined,

From 6df79045fadaae05da464d0f34f4c718b1af7792 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 6 Sep 2023 13:53:49 -0400
Subject: [PATCH 036/265] Run typegen.

---
 .../frontend/web/src/services/api/schema.d.ts | 115 +++++++++++-------
 1 file changed, 74 insertions(+), 41 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 7fa0eef0d3..e439667cbf 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1358,13 +1358,6 @@ export type components = {
     };
     /** ControlField */
     ControlField: {
-      /**
-       * Control Type
-       * @description The type of control adapter
-       * @default ControlNet
-       * @enum {string}
-       */
-      control_type?: "ControlNet" | "IP-Adapter" | "T2I-Adapter";
       /**
        * Image
        * @description The control image
@@ -1374,17 +1367,7 @@ export type components = {
        * Control Model
        * @description The ControlNet model to use
        */
-      control_model?: components["schemas"]["ControlNetModelField"];
-      /**
-       * Ip Adapter Model
-       * @description The IP-Adapter model to use
-       */
-      ip_adapter_model?: string;
-      /**
-       * Image Encoder Model
-       * @description The clip_image_encoder model to use
-       */
-      image_encoder_model?: string;
+      control_model: components["schemas"]["ControlNetModelField"];
       /**
        * Control Weight
        * @description The weight given to the ControlNet
@@ -1888,6 +1871,11 @@ export type components = {
        * @description ControlNet(s) to apply
        */
       control?: components["schemas"]["ControlField"] | components["schemas"]["ControlField"][];
+      /**
+       * Ip Adapter
+       * @description IP-Adapter to apply
+       */
+      ip_adapter?: components["schemas"]["IPAdapterField"];
       /**
        * Latents
        * @description Latents tensor
@@ -2263,7 +2251,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
       /**
        * Edges
@@ -2306,7 +2294,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
+        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
       };
       /**
        * Errors
@@ -2433,9 +2421,35 @@ export type components = {
        */
       scribble?: boolean;
     };
+    /** IPAdapterField */
+    IPAdapterField: {
+      /**
+       * Image
+       * @description The IP-Adapter image prompt.
+       */
+      image: components["schemas"]["ImageField"];
+      /**
+       * Ip Adapter Model
+       * @description The name of the IP-Adapter model.
+       * @enum {string}
+       */
+      ip_adapter_model: "models/core/ip_adapters/sd-1/ip-adapter_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin" | "models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin";
+      /**
+       * Image Encoder Model
+       * @description The name of the CLIP image encoder model.
+       * @enum {string}
+       */
+      image_encoder_model: "models/core/ip_adapters/sd-1/image_encoder/" | "models/core/ip_adapters/sdxl/image_encoder";
+      /**
+       * Weight
+       * @description The weight of the IP-Adapter.
+       * @default 1
+       */
+      weight?: number;
+    };
     /**
      * IP-Adapter
-     * @description Collects IP-Adapter info to pass to other nodes
+     * @description Collects IP-Adapter info to pass to other nodes.
      */
     IPAdapterInvocation: {
       /**
@@ -2456,35 +2470,54 @@ export type components = {
       workflow?: string;
       /**
        * Image
-       * @description The control image
+       * @description The IP-Adapter image prompt.
        */
       image?: components["schemas"]["ImageField"];
       /**
        * Ip Adapter Model
-       * @description The IP-Adapter model
+       * @description The name of the IP-Adapter model.
        * @default models/core/ip_adapters/sd-1/ip-adapter_sd15.bin
        * @enum {string}
        */
       ip_adapter_model?: "models/core/ip_adapters/sd-1/ip-adapter_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin" | "models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin";
       /**
        * Image Encoder Model
-       * @description The image encoder model
+       * @description The name of the CLIP image encoder model.
        * @default models/core/ip_adapters/sd-1/image_encoder/
        * @enum {string}
        */
       image_encoder_model?: "models/core/ip_adapters/sd-1/image_encoder/" | "models/core/ip_adapters/sdxl/image_encoder";
       /**
-       * Control Weight
-       * @description The weight given to the ControlNet
+       * Weight
+       * @description The weight of the IP-Adapter.
        * @default 1
        */
-      control_weight?: number | number[];
+      weight?: number;
       /**
        * Type
-       * @default ipadapter
+       * @default ip_adapter
        * @enum {string}
        */
-      type: "ipadapter";
+      type: "ip_adapter";
+    };
+    /**
+     * IPAdapterOutput
+     * @description Base class for all invocation outputs.
+     *
+     * All invocation outputs must use the `@invocation_output` decorator to provide their unique type.
+     */
+    IPAdapterOutput: {
+      /**
+       * Ip Adapter
+       * @description IP-Adapter to apply
+       */
+      ip_adapter: components["schemas"]["IPAdapterField"];
+      /**
+       * Type
+       * @default ip_adapter_output
+       * @enum {string}
+       */
+      type: "ip_adapter_output";
     };
     /**
      * Blur Image
@@ -7177,17 +7210,11 @@ export type components = {
       ui_order?: number;
     };
     /**
-     * StableDiffusion2ModelFormat
+     * StableDiffusionXLModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusion1ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * ControlNetModelFormat
      * @description An enumeration.
@@ -7195,17 +7222,23 @@ export type components = {
      */
     ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
-     * StableDiffusionXLModelFormat
+     * StableDiffusion2ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    /**
+     * StableDiffusion1ModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -7322,7 +7355,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -7363,7 +7396,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {

From 46c9dcb113a33e7a38f1364734b0d404dd87fdbf Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 6 Sep 2023 17:16:01 -0400
Subject: [PATCH 037/265] Run yarn build.

---
 .../frontend/web/dist/assets/App-38aa65d2.js  | 169 +++++++++++++++++
 .../frontend/web/dist/assets/App-78495256.js  | 171 ------------------
 ...30a.js => ThemeLocaleProvider-a10df140.js} |  12 +-
 .../web/dist/assets/index-08cda350.js         | 126 -------------
 .../web/dist/assets/index-221b61a5.js         | 128 +++++++++++++
 .../frontend/web/dist/assets/menu-0be27786.js |   1 +
 .../frontend/web/dist/assets/menu-3d10c968.js |   1 -
 invokeai/frontend/web/dist/index.html         |   2 +-
 invokeai/frontend/web/dist/locales/en.json    |   2 +
 9 files changed, 307 insertions(+), 305 deletions(-)
 create mode 100644 invokeai/frontend/web/dist/assets/App-38aa65d2.js
 delete mode 100644 invokeai/frontend/web/dist/assets/App-78495256.js
 rename invokeai/frontend/web/dist/assets/{ThemeLocaleProvider-707a230a.js => ThemeLocaleProvider-a10df140.js} (90%)
 delete mode 100644 invokeai/frontend/web/dist/assets/index-08cda350.js
 create mode 100644 invokeai/frontend/web/dist/assets/index-221b61a5.js
 create mode 100644 invokeai/frontend/web/dist/assets/menu-0be27786.js
 delete mode 100644 invokeai/frontend/web/dist/assets/menu-3d10c968.js

diff --git a/invokeai/frontend/web/dist/assets/App-38aa65d2.js b/invokeai/frontend/web/dist/assets/App-38aa65d2.js
new file mode 100644
index 0000000000..58adb6eab9
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/App-38aa65d2.js
@@ -0,0 +1,169 @@
+var H0=(e,t,n)=>{if(!t.has(e))throw TypeError("Cannot "+n)};var Se=(e,t,n)=>(H0(e,t,"read from private field"),n?n.call(e):t.get(e)),Jt=(e,t,n)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,n)},Zr=(e,t,n,r)=>(H0(e,t,"write to private field"),r?r.call(e,n):t.set(e,n),n);var vu=(e,t,n,r)=>({set _(o){Zr(e,t,o,n)},get _(){return Se(e,t,r)}}),os=(e,t,n)=>(H0(e,t,"access private method"),n);import{a as gd,b as xj,S as bj,c as yj,d as Cj,e as Jv,f as wj,i as e1,g as i7,k as l7,h as OC,j as Sj,t as c7,l as u7,m as d7,n as f7,o as p7,p as h7,q as m7,r as V0,s as g7,u as d,v as a,w as Dx,x as Bp,y as v7,z as x7,A as b7,B as y7,P as C7,C as Rx,D as w7,E as S7,F as k7,G as _7,H as kj,I as Pe,J as j7,K as _e,L as et,M as Fe,N as vd,O as nr,Q as gn,R as Hn,T as Xt,U as Ki,V as Qa,W as at,X as lo,Y as Xl,Z as aa,_ as cm,$ as Ax,a0 as Oc,a1 as nn,a2 as P7,a3 as H,a4 as DC,a5 as I7,a6 as _j,a7 as t1,a8 as xd,a9 as E7,aa as 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+ * @license React
+ * react-reconciler-constants.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */sl.ConcurrentRoot=1;sl.ContinuousEventPriority=4;sl.DefaultEventPriority=16;sl.DiscreteEventPriority=1;sl.IdleEventPriority=536870912;sl.LegacyRoot=0;s8.exports=sl;var a8=s8.exports;const aj={children:!0,ref:!0,key:!0,style:!0,forwardedRef:!0,unstable_applyCache:!0,unstable_applyDrawHitFromCache:!0};let ij=!1,lj=!1;const Gy=".react-konva-event",Zpe=`ReactKonva: You have a Konva node with draggable = true and position defined but no onDragMove or onDragEnd events are handled.
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+Consider to add onDragMove or onDragEnd events.
+For more info see: https://github.com/konvajs/react-konva/issues/256
+`,Jpe=`ReactKonva: You are using "zIndex" attribute for a Konva node.
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cge(){const e=te(),{canRedo:t,activeTabName:n}=F(lge),{t:r}=we(),o=()=>{e(A9())};return Qe(["meta+shift+z","ctrl+shift+z","control+y","meta+y"],()=>{o()},{enabled:()=>t,preventDefault:!0},[n,t]),a.jsx(Te,{"aria-label":`${r("unifiedCanvas.redo")} (Ctrl+Shift+Z)`,tooltip:`${r("unifiedCanvas.redo")} (Ctrl+Shift+Z)`,icon:a.jsx(EZ,{}),onClick:o,isDisabled:!t})}const uge=()=>{const e=F(xo),t=te(),{t:n}=we();return 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e=te(),{t}=we(),{shouldAutoSave:n,shouldCropToBoundingBoxOnSave:r,shouldDarkenOutsideBoundingBox:o,shouldShowCanvasDebugInfo:s,shouldShowGrid:i,shouldShowIntermediates:c,shouldSnapToGrid:f,shouldRestrictStrokesToBox:p,shouldAntialias:h}=F(fge);Qe(["n"],()=>{e(Xp(!f))},{enabled:!0,preventDefault:!0},[f]);const m=v=>e(Xp(v.target.checked));return 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e=te(),{tool:t,brushColor:n,brushSize:r,isStaging:o}=F(mge),{t:s}=we();Qe(["b"],()=>{i()},{enabled:()=>!o,preventDefault:!0},[]),Qe(["e"],()=>{c()},{enabled:()=>!o,preventDefault:!0},[t]),Qe(["c"],()=>{f()},{enabled:()=>!o,preventDefault:!0},[t]),Qe(["shift+f"],()=>{p()},{enabled:()=>!o,preventDefault:!0}),Qe(["delete","backspace"],()=>{h()},{enabled:()=>!o,preventDefault:!0}),Qe(["BracketLeft"],()=>{r-5<=5?e(Gf(Math.max(r-1,1))):e(Gf(Math.max(r-5,1)))},{enabled:()=>!o,preventDefault:!0},[r]),Qe(["BracketRight"],()=>{e(Gf(Math.min(r+5,500)))},{enabled:()=>!o,preventDefault:!0},[r]),Qe(["Shift+BracketLeft"],()=>{e(Q0({...n,a:Ri(n.a-.05,.05,1)}))},{enabled:()=>!o,preventDefault:!0},[n]),Qe(["Shift+BracketRight"],()=>{e(Q0({...n,a:Ri(n.a+.05,.05,1)}))},{enabled:()=>!o,preventDefault:!0},[n]);const i=()=>e(Yl("brush")),c=()=>e(Yl("eraser")),f=()=>e(Yl("colorPicker")),p=()=>e(W9()),h=()=>e(U9());return a.jsxs(pn,{isAttached:!0,children:[a.jsx(Te,{"aria-label":`${s("unifiedCanvas.brush")} 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D6({keepMounted:e,transition:t,duration:n=250,exitDuration:r=n,mounted:o,children:s,timingFunction:i,onExit:c,onEntered:f,onEnter:p,onExited:h}){const{transitionDuration:m,transitionStatus:v,transitionTimingFunction:b}=oX({mounted:o,exitDuration:r,duration:n,timingFunction:i,onExit:c,onEntered:f,onEnter:p,onExited:h});return m===0?o?H.createElement(H.Fragment,null,s({})):e?s({display:"none"}):null:v==="exited"?e?s({display:"none"}):null:H.createElement(H.Fragment,null,s(rX({transition:t,duration:m,state:v,timingFunction:b})))}D6.displayName="@mantine/core/Transition";function A6({children:e,active:t=!0,refProp:n="ref"}){const r=fU(t),o=_f(r,e==null?void 0:e.ref);return aI(e)?u.cloneElement(e,{[n]:o}):e}A6.displayName="@mantine/core/FocusTrap";var sX=Object.defineProperty,aX=Object.defineProperties,iX=Object.getOwnPropertyDescriptors,Z4=Object.getOwnPropertySymbols,lX=Object.prototype.hasOwnProperty,cX=Object.prototype.propertyIsEnumerable,ek=(e,t,n)=>t in 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zi({opened:e,transitionProps:t={transition:"fade",duration:0},shadow:n,withinPortal:r,portalProps:o,children:s,__staticSelector:i,onDirectionChange:c,switchDirectionOnFlip:f,zIndex:p,dropdownPosition:h,positionDependencies:m=[],classNames:v,styles:b,unstyled:y,readOnly:x,variant:C}){return H.createElement(Ru,{unstyled:y,classNames:v,styles:b,width:"target",withRoles:!1,opened:e,middlewares:{flip:h==="flip",shift:!1},position:h==="flip"?"bottom":h,positionDependencies:m,zIndex:p,__staticSelector:i,withinPortal:r,portalProps:o,transitionProps:t,shadow:n,disabled:x,onPositionChange:k=>f&&(c==null?void 0:c(k==="top"?"column-reverse":"column")),variant:C},s)}zi.Target=Ru.Target;zi.Dropdown=MX;var RX=Object.defineProperty,DX=Object.defineProperties,AX=Object.getOwnPropertyDescriptors,cm=Object.getOwnPropertySymbols,W6=Object.prototype.hasOwnProperty,V6=Object.prototype.propertyIsEnumerable,ik=(e,t,n)=>t in 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0,[fn.sent(),(Ue={fulfilledTimeStamp:Date.now(),baseQueryMeta:ht.meta},Ue[Xe.SHOULD_AUTOBATCH]=!0,Ue)])];case 8:if(Le=fn.sent(),!((Ve=Le)instanceof Q))return[3,12];nt=It,wt.query&&wt.transformErrorResponse&&(nt=wt.transformErrorResponse),fn.label=9;case 9:return fn.trys.push([9,11,,12]),At=mr,[4,nt(Ve.value,Ve.meta,Ct.originalArgs)];case 10:return[2,At.apply(void 0,[fn.sent(),(nn={baseQueryMeta:Ve.meta},nn[Xe.SHOULD_AUTOBATCH]=!0,nn)])];case 11:return Rt=fn.sent(),Ve=Rt,[3,12];case 12:throw console.error(Ve),Ve;case 13:return[2]}})})};function Sn(Ye,Mt){var Ct,at,wt,Bt,ht=(at=(Ct=Mt[Rn])==null?void 0:Ct.queries)==null?void 0:at[Ye.queryCacheKey],ot=(wt=Mt[Rn])==null?void 0:wt.config.refetchOnMountOrArgChange,Ae=ht==null?void 0:ht.fulfilledTimeStamp,Re=(Bt=Ye.forceRefetch)!=null?Bt:Ye.subscribe&&ot;return!!Re&&(Re===!0||(Number(new Date)-Number(Ae))/1e3>=Re)}var On=(0,Xe.createAsyncThunk)(Rn+"/executeQuery",dn,{getPendingMeta:function(){var Ye;return(Ye={startedTimeStamp:Date.now()})[Xe.SHOULD_AUTOBATCH]=!0,Ye},condition:function(Ye,Mt){var Ct,at,wt,Bt=(0,Mt.getState)(),ht=(at=(Ct=Bt[Rn])==null?void 0:Ct.queries)==null?void 0:at[Ye.queryCacheKey],ot=ht==null?void 0:ht.fulfilledTimeStamp,Ae=Ye.originalArgs,Re=ht==null?void 0:ht.originalArgs,Le=hr[Ye.endpointName];return!(!de(Ye)&&((ht==null?void 0:ht.status)==="pending"||!Sn(Ye,Bt)&&(!oe(Le)||!((wt=Le==null?void 0:Le.forceRefetch)!=null&&wt.call(Le,{currentArg:Ae,previousArg:Re,endpointState:ht,state:Bt})))&&ot))},dispatchConditionRejection:!0}),bn=(0,Xe.createAsyncThunk)(Rn+"/executeMutation",dn,{getPendingMeta:function(){var Ye;return(Ye={startedTimeStamp:Date.now()})[Xe.SHOULD_AUTOBATCH]=!0,Ye}});function xn(Ye){return function(Mt){var Ct,at;return((at=(Ct=Mt==null?void 0:Mt.meta)==null?void 0:Ct.arg)==null?void 0:at.endpointName)===Ye}}return{queryThunk:On,mutationThunk:bn,prefetch:function(Ye,Mt,Ct){return function(at,wt){var Bt=function(Le){return"force"in Le}(Ct)&&Ct.force,ht=function(Le){return"ifOlderThan"in Le}(Ct)&&Ct.ifOlderThan,ot=function(Le){return Le===void 0&&(Le=!0),$n.endpoints[Ye].initiate(Mt,{forceRefetch:Le})},Ae=$n.endpoints[Ye].select(Mt)(wt());if(Bt)at(ot());else if(ht){var Re=Ae==null?void 0:Ae.fulfilledTimeStamp;if(!Re)return void at(ot());(Number(new Date)-Number(new Date(Re)))/1e3>=ht&&at(ot())}else at(ot(!1))}},updateQueryData:function(Ye,Mt,Ct){return function(at,wt){var Bt,ht,ot=$n.endpoints[Ye].select(Mt)(wt()),Ae={patches:[],inversePatches:[],undo:function(){return at($n.util.patchQueryData(Ye,Mt,Ae.inversePatches))}};if(ot.status===t.uninitialized)return Ae;if("data"in ot)if((0,De.isDraftable)(ot.data)){var Re=(0,De.produceWithPatches)(ot.data,Ct),Le=Re[2];(Bt=Ae.patches).push.apply(Bt,Re[1]),(ht=Ae.inversePatches).push.apply(ht,Le)}else{var Ve=Ct(ot.data);Ae.patches.push({op:"replace",path:[],value:Ve}),Ae.inversePatches.push({op:"replace",path:[],value:ot.data})}return at($n.util.patchQueryData(Ye,Mt,Ae.patches)),Ae}},upsertQueryData:function(Ye,Mt,Ct){return function(at){var wt;return at($n.endpoints[Ye].initiate(Mt,((wt={subscribe:!1,forceRefetch:!0})[xe]=function(){return{data:Ct}},wt)))}},patchQueryData:function(Ye,Mt,Ct){return function(at){at($n.internalActions.queryResultPatched({queryCacheKey:Tn({queryArgs:Mt,endpointDefinition:hr[Ye],endpointName:Ye}),patches:Ct}))}},buildMatchThunkActions:function(Ye,Mt){return{matchPending:(0,Ne.isAllOf)((0,Ne.isPending)(Ye),xn(Mt)),matchFulfilled:(0,Ne.isAllOf)((0,Ne.isFulfilled)(Ye),xn(Mt)),matchRejected:(0,Ne.isAllOf)((0,Ne.isRejected)(Ye),xn(Mt))}}}}({baseQuery:je,reducerPath:ve,context:ge,api:J,serializeQueryArgs:dt}),et=Se.queryThunk,kt=Se.mutationThunk,Ot=Se.patchQueryData,$t=Se.updateQueryData,Xt=Se.upsertQueryData,tn=Se.prefetch,en=Se.buildMatchThunkActions,qt=function(Pt){var En=Pt.reducerPath,Rn=Pt.queryThunk,er=Pt.mutationThunk,hr=Pt.context,Tn=hr.endpointDefinitions,$n=hr.apiUid,dn=hr.extractRehydrationInfo,Sn=hr.hasRehydrationInfo,On=Pt.assertTagType,bn=Pt.config,xn=(0,he.createAction)(En+"/resetApiState"),Ye=(0,he.createSlice)({name:En+"/queries",initialState:Et,reducers:{removeQueryResult:{reducer:function(ot,Ae){delete ot[Ae.payload.queryCacheKey]},prepare:(0,he.prepareAutoBatched)()},queryResultPatched:function(ot,Ae){var Re=Ae.payload,Le=Re.patches;bt(ot,Re.queryCacheKey,function(Ve){Ve.data=(0,gt.applyPatches)(Ve.data,Le.concat())})}},extraReducers:function(ot){ot.addCase(Rn.pending,function(Ae,Re){var Le,Ve=Re.meta,nt=Re.meta.arg,At=de(nt);(nt.subscribe||At)&&(Ae[Le=nt.queryCacheKey]!=null||(Ae[Le]={status:t.uninitialized,endpointName:nt.endpointName})),bt(Ae,nt.queryCacheKey,function(Rt){Rt.status=t.pending,Rt.requestId=At&&Rt.requestId?Rt.requestId:Ve.requestId,nt.originalArgs!==void 0&&(Rt.originalArgs=nt.originalArgs),Rt.startedTimeStamp=Ve.startedTimeStamp})}).addCase(Rn.fulfilled,function(Ae,Re){var Le=Re.meta,Ve=Re.payload;bt(Ae,Le.arg.queryCacheKey,function(nt){var At;if(nt.requestId===Le.requestId||de(Le.arg)){var Rt=Tn[Le.arg.endpointName].merge;if(nt.status=t.fulfilled,Rt)if(nt.data!==void 0){var Ue=Le.fulfilledTimeStamp,nn=Le.arg,yn=Le.baseQueryMeta,hn=Le.requestId,mr=(0,he.createNextState)(nt.data,function(Xn){return Rt(Xn,Ve,{arg:nn.originalArgs,baseQueryMeta:yn,fulfilledTimeStamp:Ue,requestId:hn})});nt.data=mr}else nt.data=Ve;else nt.data=(At=Tn[Le.arg.endpointName].structuralSharing)==null||At?R((0,on.isDraft)(nt.data)?(0,gt.original)(nt.data):nt.data,Ve):Ve;delete nt.error,nt.fulfilledTimeStamp=Le.fulfilledTimeStamp}})}).addCase(Rn.rejected,function(Ae,Re){var Le=Re.meta,Ve=Le.condition,nt=Le.requestId,At=Re.error,Rt=Re.payload;bt(Ae,Le.arg.queryCacheKey,function(Ue){if(!Ve){if(Ue.requestId!==nt)return;Ue.status=t.rejected,Ue.error=Rt??At}})}).addMatcher(Sn,function(Ae,Re){for(var Le=dn(Re).queries,Ve=0,nt=Object.entries(Le);Ve<nt.length;Ve++){var At=nt[Ve],Rt=At[1];(Rt==null?void 0:Rt.status)!==t.fulfilled&&(Rt==null?void 0:Rt.status)!==t.rejected||(Ae[At[0]]=Rt)}})}}),Mt=(0,he.createSlice)({name:En+"/mutations",initialState:Et,reducers:{removeMutationResult:{reducer:function(ot,Ae){var Re=ye(Ae.payload);Re in ot&&delete ot[Re]},prepare:(0,he.prepareAutoBatched)()}},extraReducers:function(ot){ot.addCase(er.pending,function(Ae,Re){var Le=Re.meta,Ve=Le.requestId,nt=Le.arg,At=Le.startedTimeStamp;nt.track&&(Ae[ye(Re.meta)]={requestId:Ve,status:t.pending,endpointName:nt.endpointName,startedTimeStamp:At})}).addCase(er.fulfilled,function(Ae,Re){var Le=Re.payload,Ve=Re.meta;Ve.arg.track&&We(Ae,Ve,function(nt){nt.requestId===Ve.requestId&&(nt.status=t.fulfilled,nt.data=Le,nt.fulfilledTimeStamp=Ve.fulfilledTimeStamp)})}).addCase(er.rejected,function(Ae,Re){var Le=Re.payload,Ve=Re.error,nt=Re.meta;nt.arg.track&&We(Ae,nt,function(At){At.requestId===nt.requestId&&(At.status=t.rejected,At.error=Le??Ve)})}).addMatcher(Sn,function(Ae,Re){for(var Le=dn(Re).mutations,Ve=0,nt=Object.entries(Le);Ve<nt.length;Ve++){var At=nt[Ve],Rt=At[0],Ue=At[1];(Ue==null?void 0:Ue.status)!==t.fulfilled&&(Ue==null?void 0:Ue.status)!==t.rejected||Rt===(Ue==null?void 0:Ue.requestId)||(Ae[Rt]=Ue)}})}}),Ct=(0,he.createSlice)({name:En+"/invalidation",initialState:Et,reducers:{},extraReducers:function(ot){ot.addCase(Ye.actions.removeQueryResult,function(Ae,Re){for(var Le=Re.payload.queryCacheKey,Ve=0,nt=Object.values(Ae);Ve<nt.length;Ve++)for(var At=0,Rt=Object.values(nt[Ve]);At<Rt.length;At++){var Ue=Rt[At],nn=Ue.indexOf(Le);nn!==-1&&Ue.splice(nn,1)}}).addMatcher(Sn,function(Ae,Re){for(var Le,Ve,nt,At,Rt=dn(Re).provided,Ue=0,nn=Object.entries(Rt);Ue<nn.length;Ue++)for(var yn=nn[Ue],hn=yn[0],mr=0,Xn=Object.entries(yn[1]);mr<Xn.length;mr++)for(var gn=Xn[mr],Un=gn[0],po=gn[1],fn=(At=(Ve=(Le=Ae[hn])!=null?Le:Ae[hn]={})[nt=Un||"__internal_without_id"])!=null?At:Ve[nt]=[],Ln=0,Kr=po;Ln<Kr.length;Ln++){var Rr=Kr[Ln];fn.includes(Rr)||fn.push(Rr)}}).addMatcher((0,he.isAnyOf)((0,he.isFulfilled)(Rn),(0,he.isRejectedWithValue)(Rn)),function(Ae,Re){for(var Le,Ve,nt,At,Rt=lt(Re,"providesTags",Tn,On),Ue=Re.meta.arg.queryCacheKey,nn=0,yn=Object.values(Ae);nn<yn.length;nn++)for(var hn=0,mr=Object.values(yn[nn]);hn<mr.length;hn++){var Xn=mr[hn],gn=Xn.indexOf(Ue);gn!==-1&&Xn.splice(gn,1)}for(var Un=0,po=Rt;Un<po.length;Un++){var fn=po[Un],Ln=fn.type,Kr=fn.id,Rr=(At=(Ve=(Le=Ae[Ln])!=null?Le:Ae[Ln]={})[nt=Kr||"__internal_without_id"])!=null?At:Ve[nt]=[];Rr.includes(Ue)||Rr.push(Ue)}})}}),at=(0,he.createSlice)({name:En+"/subscriptions",initialState:Et,reducers:{updateSubscriptionOptions:function(ot,Ae){},unsubscribeQueryResult:function(ot,Ae){},internal_probeSubscription:function(ot,Ae){}}}),wt=(0,he.createSlice)({name:En+"/internalSubscriptions",initialState:Et,reducers:{subscriptionsUpdated:{reducer:function(ot,Ae){return(0,gt.applyPatches)(ot,Ae.payload)},prepare:(0,he.prepareAutoBatched)()}}}),Bt=(0,he.createSlice)({name:En+"/config",initialState:C({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},bn),reducers:{middlewareRegistered:function(ot,Ae){ot.middlewareRegistered=ot.middlewareRegistered!=="conflict"&&$n===Ae.payload||"conflict"}},extraReducers:function(ot){ot.addCase(Y,function(Ae){Ae.online=!0}).addCase(ce,function(Ae){Ae.online=!1}).addCase(q,function(Ae){Ae.focused=!0}).addCase(te,function(Ae){Ae.focused=!1}).addMatcher(Sn,function(Ae){return C({},Ae)})}}),ht=(0,he.combineReducers)({queries:Ye.reducer,mutations:Mt.reducer,provided:Ct.reducer,subscriptions:wt.reducer,config:Bt.reducer});return{reducer:function(ot,Ae){return ht(xn.match(Ae)?void 0:ot,Ae)},actions:k(C(C(C(C(C({},Bt.actions),Ye.actions),at.actions),wt.actions),Mt.actions),{unsubscribeMutationResult:Mt.actions.removeMutationResult,resetApiState:xn})}}({context:ge,queryThunk:et,mutationThunk:kt,reducerPath:ve,assertTagType:He,config:{refetchOnFocus:ft,refetchOnReconnect:yt,refetchOnMountOrArgChange:Vt,keepUnusedDataFor:st,reducerPath:ve}}),Be=qt.reducer,vt=qt.actions;Fr(J.util,{patchQueryData:Ot,updateQueryData:$t,upsertQueryData:Xt,prefetch:tn,resetApiState:vt.resetApiState}),Fr(J.internalActions,vt);var Dt=function(Pt){var En=Pt.reducerPath,Rn=Pt.queryThunk,er=Pt.api,hr=Pt.context,Tn=hr.apiUid,$n={invalidateTags:(0,ir.createAction)(En+"/invalidateTags")},dn=[Gr,pn,Ur,wr,Vn,Lo];return{middleware:function(On){var bn=!1,xn=k(C({},Pt),{internalState:{currentSubscriptions:{}},refetchQuery:Sn}),Ye=dn.map(function(at){return at(xn)}),Mt=function(at){var wt=at.api,Bt=at.queryThunk,ht=at.internalState,ot=wt.reducerPath+"/subscriptions",Ae=null,Re=!1,Le=wt.internalActions,Ve=Le.updateSubscriptionOptions,nt=Le.unsubscribeQueryResult;return function(At,Rt){var Ue,nn;if(Ae||(Ae=JSON.parse(JSON.stringify(ht.currentSubscriptions))),wt.util.resetApiState.match(At))return Ae=ht.currentSubscriptions={},[!0,!1];if(wt.internalActions.internal_probeSubscription.match(At)){var yn=At.payload;return[!1,!!((Ue=ht.currentSubscriptions[yn.queryCacheKey])!=null&&Ue[yn.requestId])]}var hn=function(gn,Un){var po,fn,Ln,Kr,Rr,vi,Tf,Fo,$a;if(Ve.match(Un)){var oa=Un.payload,La=oa.queryCacheKey,ho=oa.requestId;return(po=gn==null?void 0:gn[La])!=null&&po[ho]&&(gn[La][ho]=oa.options),!0}if(nt.match(Un)){var mo=Un.payload;return ho=mo.requestId,gn[La=mo.queryCacheKey]&&delete gn[La][ho],!0}if(wt.internalActions.removeQueryResult.match(Un))return delete gn[Un.payload.queryCacheKey],!0;if(Bt.pending.match(Un)){var go=Un.meta;if(ho=go.requestId,(eo=go.arg).subscribe)return(Zo=(Ln=gn[fn=eo.queryCacheKey])!=null?Ln:gn[fn]={})[ho]=(Rr=(Kr=eo.subscriptionOptions)!=null?Kr:Zo[ho])!=null?Rr:{},!0}if(Bt.rejected.match(Un)){var Zo,zo=Un.meta,eo=zo.arg;if(ho=zo.requestId,zo.condition&&eo.subscribe)return(Zo=(Tf=gn[vi=eo.queryCacheKey])!=null?Tf:gn[vi]={})[ho]=($a=(Fo=eo.subscriptionOptions)!=null?Fo:Zo[ho])!=null?$a:{},!0}return!1}(ht.currentSubscriptions,At);if(hn){Re||(js(function(){var gn=JSON.parse(JSON.stringify(ht.currentSubscriptions)),Un=(0,qr.produceWithPatches)(Ae,function(){return gn});Rt.next(wt.internalActions.subscriptionsUpdated(Un[1])),Ae=gn,Re=!1}),Re=!0);var mr=!!((nn=At.type)!=null&&nn.startsWith(ot)),Xn=Bt.rejected.match(At)&&At.meta.condition&&!!At.meta.arg.subscribe;return[!mr&&!Xn,!1]}return[!0,!1]}}(xn),Ct=function(at){var wt=at.reducerPath,Bt=at.context,ht=at.refetchQuery,ot=at.internalState,Ae=at.api.internalActions.removeQueryResult;function Re(Le,Ve){var nt=Le.getState()[wt],At=nt.queries,Rt=ot.currentSubscriptions;Bt.batch(function(){for(var Ue=0,nn=Object.keys(Rt);Ue<nn.length;Ue++){var yn=nn[Ue],hn=At[yn],mr=Rt[yn];mr&&hn&&(Object.values(mr).some(function(Xn){return Xn[Ve]===!0})||Object.values(mr).every(function(Xn){return Xn[Ve]===void 0})&&nt.config[Ve])&&(Object.keys(mr).length===0?Le.dispatch(Ae({queryCacheKey:yn})):hn.status!==t.uninitialized&&Le.dispatch(ht(hn,yn)))}})}return function(Le,Ve){q.match(Le)&&Re(Ve,"refetchOnFocus"),Y.match(Le)&&Re(Ve,"refetchOnReconnect")}}(xn);return function(at){return function(wt){bn||(bn=!0,On.dispatch(er.internalActions.middlewareRegistered(Tn)));var Bt,ht=k(C({},On),{next:at}),ot=On.getState(),Ae=Mt(wt,ht,ot),Re=Ae[1];if(Bt=Ae[0]?at(wt):Re,On.getState()[En]&&(Ct(wt,ht,ot),function(nt){return!!nt&&typeof nt.type=="string"&&nt.type.startsWith(En+"/")}(wt)||hr.hasRehydrationInfo(wt)))for(var Le=0,Ve=Ye;Le<Ve.length;Le++)(0,Ve[Le])(wt,ht,ot);return Bt}}},actions:$n};function Sn(On,bn,xn){return xn===void 0&&(xn={}),Rn(C({type:"query",endpointName:On.endpointName,originalArgs:On.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:bn},xn))}}({reducerPath:ve,context:ge,queryThunk:et,mutationThunk:kt,api:J,assertTagType:He}),Ut=Dt.middleware;Fr(J.util,Dt.actions),Fr(J,{reducer:Be,middleware:Ut});var In=function(Pt){var En=Pt.serializeQueryArgs,Rn=Pt.reducerPath,er=function(dn){return Nt},hr=function(dn){return Lt};return{buildQuerySelector:function(dn,Sn){return function(On){var bn=En({queryArgs:On,endpointDefinition:Sn,endpointName:dn});return(0,ie.createSelector)(On===zt?er:function(xn){var Ye,Mt,Ct;return(Ct=(Mt=(Ye=$n(xn))==null?void 0:Ye.queries)==null?void 0:Mt[bn])!=null?Ct:Nt},Tn)}},buildMutationSelector:function(){return function(dn){var Sn,On;return On=typeof dn=="object"?(Sn=ye(dn))!=null?Sn:zt:dn,(0,ie.createSelector)(On===zt?hr:function(bn){var xn,Ye,Mt;return(Mt=(Ye=(xn=$n(bn))==null?void 0:xn.mutations)==null?void 0:Ye[On])!=null?Mt:Lt},Tn)}},selectInvalidatedBy:function(dn,Sn){for(var On,bn=dn[Rn],xn=new Set,Ye=0,Mt=Sn.map(fe);Ye<Mt.length;Ye++){var Ct=Mt[Ye],at=bn.provided[Ct.type];if(at)for(var wt=0,Bt=(On=Ct.id!==void 0?at[Ct.id]:E(Object.values(at)))!=null?On:[];wt<Bt.length;wt++)xn.add(Bt[wt])}return E(Array.from(xn.values()).map(function(ht){var ot=bn.queries[ht];return ot?[{queryCacheKey:ht,endpointName:ot.endpointName,originalArgs:ot.originalArgs}]:[]}))}};function Tn(dn){return C(C({},dn),{status:Sn=dn.status,isUninitialized:Sn===t.uninitialized,isLoading:Sn===t.pending,isSuccess:Sn===t.fulfilled,isError:Sn===t.rejected});var Sn}function $n(dn){return dn[Rn]}}({serializeQueryArgs:dt,reducerPath:ve}),Kt=In.buildQuerySelector,un=In.buildMutationSelector;Fr(J.util,{selectInvalidatedBy:In.selectInvalidatedBy});var sn=function(Pt){var En=Pt.serializeQueryArgs,Rn=Pt.queryThunk,er=Pt.mutationThunk,hr=Pt.api,Tn=Pt.context,$n=new Map,dn=new Map,Sn=hr.internalActions,On=Sn.unsubscribeQueryResult,bn=Sn.removeMutationResult,xn=Sn.updateSubscriptionOptions;return{buildInitiateQuery:function(Ye,Mt){var Ct=function(at,wt){var Bt=wt===void 0?{}:wt,ht=Bt.subscribe,ot=ht===void 0||ht,Ae=Bt.forceRefetch,Re=Bt.subscriptionOptions,Le=Bt[xe];return function(Ve,nt){var At,Rt,Ue=En({queryArgs:at,endpointDefinition:Mt,endpointName:Ye}),nn=Rn(((At={type:"query",subscribe:ot,forceRefetch:Ae,subscriptionOptions:Re,endpointName:Ye,originalArgs:at,queryCacheKey:Ue})[xe]=Le,At)),yn=hr.endpoints[Ye].select(at),hn=Ve(nn),mr=yn(nt()),Xn=hn.requestId,gn=hn.abort,Un=mr.requestId!==Xn,po=(Rt=$n.get(Ve))==null?void 0:Rt[Ue],fn=function(){return yn(nt())},Ln=Object.assign(Le?hn.then(fn):Un&&!po?Promise.resolve(mr):Promise.all([po,hn]).then(fn),{arg:at,requestId:Xn,subscriptionOptions:Re,queryCacheKey:Ue,abort:gn,unwrap:function(){return O(this,null,function(){var Rr;return r(this,function(vi){switch(vi.label){case 0:return[4,Ln];case 1:if((Rr=vi.sent()).isError)throw Rr.error;return[2,Rr.data]}})})},refetch:function(){return Ve(Ct(at,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){ot&&Ve(On({queryCacheKey:Ue,requestId:Xn}))},updateSubscriptionOptions:function(Rr){Ln.subscriptionOptions=Rr,Ve(xn({endpointName:Ye,requestId:Xn,queryCacheKey:Ue,options:Rr}))}});if(!po&&!Un&&!Le){var Kr=$n.get(Ve)||{};Kr[Ue]=Ln,$n.set(Ve,Kr),Ln.then(function(){delete Kr[Ue],Object.keys(Kr).length||$n.delete(Ve)})}return Ln}};return Ct},buildInitiateMutation:function(Ye){return function(Mt,Ct){var at=Ct===void 0?{}:Ct,wt=at.track,Bt=wt===void 0||wt,ht=at.fixedCacheKey;return function(ot,Ae){var Re=er({type:"mutation",endpointName:Ye,originalArgs:Mt,track:Bt,fixedCacheKey:ht}),Le=ot(Re),Ve=Le.requestId,nt=Le.abort,At=Le.unwrap,Rt=Le.unwrap().then(function(hn){return{data:hn}}).catch(function(hn){return{error:hn}}),Ue=function(){ot(bn({requestId:Ve,fixedCacheKey:ht}))},nn=Object.assign(Rt,{arg:Le.arg,requestId:Ve,abort:nt,unwrap:At,unsubscribe:Ue,reset:Ue}),yn=dn.get(ot)||{};return dn.set(ot,yn),yn[Ve]=nn,nn.then(function(){delete yn[Ve],Object.keys(yn).length||dn.delete(ot)}),ht&&(yn[ht]=nn,nn.then(function(){yn[ht]===nn&&(delete yn[ht],Object.keys(yn).length||dn.delete(ot))})),nn}}},getRunningQueryThunk:function(Ye,Mt){return function(Ct){var at,wt=En({queryArgs:Mt,endpointDefinition:Tn.endpointDefinitions[Ye],endpointName:Ye});return(at=$n.get(Ct))==null?void 0:at[wt]}},getRunningMutationThunk:function(Ye,Mt){return function(Ct){var at;return(at=dn.get(Ct))==null?void 0:at[Mt]}},getRunningQueriesThunk:function(){return function(Ye){return Object.values($n.get(Ye)||{}).filter(Ce)}},getRunningMutationsThunk:function(){return function(Ye){return Object.values(dn.get(Ye)||{}).filter(Ce)}},getRunningOperationPromises:function(){var Ye=function(Mt){return Array.from(Mt.values()).flatMap(function(Ct){return Ct?Object.values(Ct):[]})};return o(o([],Ye($n)),Ye(dn)).filter(Ce)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
-       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
-       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:et,mutationThunk:kt,api:J,serializeQueryArgs:dt,context:ge}),Mr=sn.buildInitiateQuery,Zn=sn.buildInitiateMutation;return Fr(J.util,{getRunningOperationPromises:sn.getRunningOperationPromises,getRunningOperationPromise:sn.removalWarning,getRunningMutationThunk:sn.getRunningMutationThunk,getRunningMutationsThunk:sn.getRunningMutationsThunk,getRunningQueryThunk:sn.getRunningQueryThunk,getRunningQueriesThunk:sn.getRunningQueriesThunk}),{name:_s,injectEndpoint:function(Pt,En){var Rn,er=J;(Rn=er.endpoints)[Pt]!=null||(Rn[Pt]={}),oe(En)?Fr(er.endpoints[Pt],{name:Pt,select:Kt(Pt,En),initiate:Mr(Pt,En)},en(et,Pt)):En.type===W.mutation&&Fr(er.endpoints[Pt],{name:Pt,select:un(),initiate:Zn(Pt)},en(kt,Pt))}}}}},ra=Qe(Ta())})(jO);kO.exports=jO;var Yo=kO.exports;const Aee=e=>{const{boardToDelete:t,setBoardToDelete:n}=e,{t:r}=Ie(),o=z(j=>j.config.canRestoreDeletedImagesFromBin),{currentData:s,isFetching:i}=dR((t==null?void 0:t.board_id)??Yo.skipToken),c=u.useMemo(()=>le([ke],j=>{const _=(s??[]).map(O=>W_(j,O));return{imageUsageSummary:{isInitialImage:$s(_,O=>O.isInitialImage),isCanvasImage:$s(_,O=>O.isCanvasImage),isNodesImage:$s(_,O=>O.isNodesImage),isControlNetImage:$s(_,O=>O.isControlNetImage)}}}),[s]),[f,{isLoading:p}]=fR(),[h,{isLoading:m}]=pR(),{imageUsageSummary:v}=z(c),b=u.useCallback(()=>{t&&(f(t.board_id),n(void 0))},[t,f,n]),y=u.useCallback(()=>{t&&(h(t.board_id),n(void 0))},[t,h,n]),x=u.useCallback(()=>{n(void 0)},[n]),C=u.useRef(null),k=u.useMemo(()=>m||p||i,[m,p,i]);return t?a.jsx(Cf,{isOpen:!!t,onClose:x,leastDestructiveRef:C,isCentered:!0,children:a.jsx(Ks,{children:a.jsxs(Sf,{children:[a.jsxs(qs,{fontSize:"lg",fontWeight:"bold",children:["Delete 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r==="IMAGE_DTOS"}case"REMOVE_FROM_BOARD":{if(!(r==="IMAGE_DTO"||"IMAGE_DTOS"))return!1;if(r==="IMAGE_DTO"){const{imageDTO:s}=t.data.current.payload;return s.board_id!=="none"}return r==="IMAGE_DTOS"}default:return!1}},Gee=e=>{const{isOver:t,label:n="Drop"}=e,r=u.useRef(Fi()),{colorMode:o}=di();return a.jsx(yr.div,{initial:{opacity:0},animate:{opacity:1,transition:{duration:.1}},exit:{opacity:0,transition:{duration:.1}},children:a.jsxs($,{sx:{position:"absolute",top:0,insetInlineStart:0,w:"full",h:"full"},children:[a.jsx($,{sx:{position:"absolute",top:0,insetInlineStart:0,w:"full",h:"full",bg:qe("base.700","base.900")(o),opacity:.7,borderRadius:"base",alignItems:"center",justifyContent:"center",transitionProperty:"common",transitionDuration:"0.1s"}}),a.jsx($,{sx:{position:"absolute",top:.5,insetInlineStart:.5,insetInlineEnd:.5,bottom:.5,opacity:1,borderWidth:2,borderColor:t?qe("base.50","base.50")(o):qe("base.200","base.300")(o),borderRadius:"lg",borderStyle:"dashed",transitionProperty:"common",transitionDuration:"0.1s",alignItems:"center",justifyContent:"center"},children:a.jsx(Fe,{sx:{fontSize:"2xl",fontWeight:600,transform:t?"scale(1.1)":"scale(1)",color:t?qe("base.50","base.50")(o):qe("base.200","base.300")(o),transitionProperty:"common",transitionDuration:"0.1s"},children:n})})]})},r.current)},By=u.memo(Gee),qee=e=>{const{dropLabel:t,data:n,disabled:r}=e,o=u.useRef(Fi()),{isOver:s,setNodeRef:i,active:c}=Fy({id:o.current,disabled:r,data:n});return a.jsx(Fe,{ref:i,position:"absolute",top:0,insetInlineStart:0,w:"full",h:"full",pointerEvents:"none",children:a.jsx(co,{children:zy(n,c)&&a.jsx(By,{isOver:s,label:t})})})},Hy=u.memo(qee),Kee=({isSelected:e,isHovered:t})=>a.jsx(Fe,{className:"selection-box",sx:{position:"absolute",top:0,insetInlineEnd:0,bottom:0,insetInlineStart:0,borderRadius:"base",opacity:e?1:.7,transitionProperty:"common",transitionDuration:"0.1s",pointerEvents:"none",shadow:e?t?"hoverSelected.light":"selected.light":t?"hoverUnselected.light":void 0,_dark:{shadow:e?t?"hoverSelected.dark":"selected.dark":t?"hoverUnselected.dark":void 0}}}),Wy=u.memo(Kee),Xee=()=>a.jsx($,{sx:{position:"absolute",insetInlineEnd:0,top:0,p:1},children:a.jsx(hi,{variant:"solid",sx:{bg:"accent.400",_dark:{bg:"accent.500"}},children:"auto"})}),PO=u.memo(Xee);function Vy(e){const[t,n]=u.useState(!1),[r,o]=u.useState(!1),[s,i]=u.useState(!1),[c,f]=u.useState([0,0]),p=u.useRef(null),h=z(v=>v.ui.globalContextMenuCloseTrigger);u.useEffect(()=>{if(t)setTimeout(()=>{o(!0),setTimeout(()=>{i(!0)})});else{i(!1);const v=setTimeout(()=>{o(t)},1e3);return()=>clearTimeout(v)}},[t]),u.useEffect(()=>{n(!1),i(!1),o(!1)},[h]),$L("contextmenu",v=>{var b;(b=p.current)!=null&&b.contains(v.target)||v.target===p.current?(v.preventDefault(),n(!0),f([v.pageX,v.pageY])):n(!1)});const m=u.useCallback(()=>{var v,b;(b=(v=e.menuProps)==null?void 0:v.onClose)==null||b.call(v),n(!1)},[e.menuProps]);return a.jsxs(a.Fragment,{children:[e.children(p),r&&a.jsx(uf,{...e.portalProps,children:a.jsxs(yf,{isOpen:s,gutter:0,...e.menuProps,onClose:m,children:[a.jsx(wf,{"aria-hidden":!0,w:1,h:1,style:{position:"absolute",left:c[0],top:c[1],cursor:"default"},...e.menuButtonProps}),e.renderMenu()]})})]})}const Fg=e=>{const{boardName:t}=Fm(void 0,{selectFromResult:({data:n})=>{const 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a.jsx(Vy,{menuProps:{size:"sm",isLazy:!0},menuButtonProps:{bg:"transparent",_hover:{bg:"transparent"}},renderMenu:()=>a.jsx(Ui,{sx:{visibility:"visible !important"},motionProps:au,onContextMenu:m,children:a.jsxs(fu,{title:p,children:[a.jsx(Bn,{icon:a.jsx(Yl,{}),isDisabled:i||c||f,onClick:h,children:"Auto-add to this Board"}),!e&&a.jsx(Zee,{}),e&&a.jsx(Yee,{board:e,setBoardToDelete:n})]})}),children:r})},IO=u.memo(ete),tte=({board:e,isSelected:t,setBoardToDelete:n})=>{const r=se(),o=u.useMemo(()=>le(ke,({gallery:D,system:T})=>{const K=e.board_id===D.autoAddBoardId,B=D.autoAssignBoardOnClick,G=T.isProcessing;return{isSelectedForAutoAdd:K,autoAssignBoardOnClick:B,isProcessing:G}},Oe),[e.board_id]),{isSelectedForAutoAdd:s,autoAssignBoardOnClick:i,isProcessing:c}=z(o),[f,p]=u.useState(!1),h=u.useCallback(()=>{p(!0)},[]),m=u.useCallback(()=>{p(!1)},[]),{data:v}=X_(e.board_id),{data:b}=Q_(e.board_id),y=u.useMemo(()=>{if(!(!v||!b))return`${v} image${v>1?"s":""}, ${b} 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a.jsxs(ea,{children:[a.jsx(jt,{label:"a_mult",value:o,onChange:f,handleReset:h,withReset:!0,min:0,max:20,step:.01,withInput:!0,withSliderMarks:!0,isDisabled:c||!r}),a.jsx(jt,{label:"bg_th",value:s,onChange:p,handleReset:m,withReset:!0,min:0,max:20,step:.01,withInput:!0,withSliderMarks:!0,isDisabled:c||!r})]})},lae=u.memo(iae),nh=ws.mlsd_image_processor.default,cae=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s,thr_d:i,thr_v:c}=n,f=Zs(),p=z(Or),h=u.useCallback(j=>{f(t,{detect_resolution:j})},[t,f]),m=u.useCallback(j=>{f(t,{image_resolution:j})},[t,f]),v=u.useCallback(j=>{f(t,{thr_d:j})},[t,f]),b=u.useCallback(j=>{f(t,{thr_v:j})},[t,f]),y=u.useCallback(()=>{f(t,{detect_resolution:nh.detect_resolution})},[t,f]),x=u.useCallback(()=>{f(t,{image_resolution:nh.image_resolution})},[t,f]),C=u.useCallback(()=>{f(t,{thr_d:nh.thr_d})},[t,f]),k=u.useCallback(()=>{f(t,{thr_v:nh.thr_v})},[t,f]);return a.jsxs(ea,{children:[a.jsx(jt,{label:"Detect 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",Po,xl,Vo,Zd,tu,nu,cs,pa,Ai,ha,Ni,Ua,Ga,ru,ou,qa,Ds,ef,Wb,M_;let Sde=(M_=class{constructor(t){rr(this,ef);rr(this,Po,!0);rr(this,xl,!1);rr(this,Vo,!1);rr(this,Zd,void 0);rr(this,tu,()=>{});rr(this,nu,()=>{});rr(this,cs,{});rr(this,pa,{});rr(this,Ai,{});rr(this,ha,{});rr(this,Ni,{});rr(this,Ua,{});rr(this,Ga,{});rr(this,ru,0);rr(this,ou,0);rr(this,qa,void 0);rr(this,Ds,void 0);t&&(as(this,Po,t.hasOwnProperty("directed")?t.directed:!0),as(this,xl,t.hasOwnProperty("multigraph")?t.multigraph:!1),as(this,Vo,t.hasOwnProperty("compound")?t.compound:!1)),Pe(this,Vo)&&(as(this,qa,{}),as(this,Ds,{}),Pe(this,Ds)[fl]={})}isDirected(){return Pe(this,Po)}isMultigraph(){return Pe(this,xl)}isCompound(){return Pe(this,Vo)}setGraph(t){return as(this,Zd,t),this}graph(){return Pe(this,Zd)}setDefaultNodeLabel(t){return as(this,tu,t),typeof t!="function"&&as(this,tu,()=>t),this}nodeCount(){return Pe(this,ru)}nodes(){return Object.keys(Pe(this,cs))}sources(){var t=this;return this.nodes().filter(n=>Object.keys(Pe(t,pa)[n]).length===0)}sinks(){var t=this;return this.nodes().filter(n=>Object.keys(Pe(t,ha)[n]).length===0)}setNodes(t,n){var r=arguments,o=this;return t.forEach(function(s){r.length>1?o.setNode(s,n):o.setNode(s)}),this}setNode(t,n){return Pe(this,cs).hasOwnProperty(t)?(arguments.length>1&&(Pe(this,cs)[t]=n),this):(Pe(this,cs)[t]=arguments.length>1?n:Pe(this,tu).call(this,t),Pe(this,Vo)&&(Pe(this,qa)[t]=fl,Pe(this,Ds)[t]={},Pe(this,Ds)[fl][t]=!0),Pe(this,pa)[t]={},Pe(this,Ai)[t]={},Pe(this,ha)[t]={},Pe(this,Ni)[t]={},++rd(this,ru)._,this)}node(t){return Pe(this,cs)[t]}hasNode(t){return Pe(this,cs).hasOwnProperty(t)}removeNode(t){var n=this;if(Pe(this,cs).hasOwnProperty(t)){var r=o=>n.removeEdge(Pe(n,Ua)[o]);delete Pe(this,cs)[t],Pe(this,Vo)&&(da(this,ef,Wb).call(this,t),delete Pe(this,qa)[t],this.children(t).forEach(function(o){n.setParent(o)}),delete Pe(this,Ds)[t]),Object.keys(Pe(this,pa)[t]).forEach(r),delete Pe(this,pa)[t],delete Pe(this,Ai)[t],Object.keys(Pe(this,ha)[t]).forEach(r),delete Pe(this,ha)[t],delete Pe(this,Ni)[t],--rd(this,ru)._}return this}setParent(t,n){if(!Pe(this,Vo))throw new Error("Cannot set parent in a non-compound graph");if(n===void 0)n=fl;else{n+="";for(var r=n;r!==void 0;r=this.parent(r))if(r===t)throw new Error("Setting "+n+" as parent of "+t+" would create a cycle");this.setNode(n)}return this.setNode(t),da(this,ef,Wb).call(this,t),Pe(this,qa)[t]=n,Pe(this,Ds)[n][t]=!0,this}parent(t){if(Pe(this,Vo)){var n=Pe(this,qa)[t];if(n!==fl)return n}}children(t=fl){if(Pe(this,Vo)){var n=Pe(this,Ds)[t];if(n)return Object.keys(n)}else{if(t===fl)return this.nodes();if(this.hasNode(t))return[]}}predecessors(t){var n=Pe(this,Ai)[t];if(n)return Object.keys(n)}successors(t){var n=Pe(this,Ni)[t];if(n)return Object.keys(n)}neighbors(t){var n=this.predecessors(t);if(n){const o=new Set(n);for(var r of this.successors(t))o.add(r);return Array.from(o.values())}}isLeaf(t){var n;return this.isDirected()?n=this.successors(t):n=this.neighbors(t),n.length===0}filterNodes(t){var n=new this.constructor({directed:Pe(this,Po),multigraph:Pe(this,xl),compound:Pe(this,Vo)});n.setGraph(this.graph());var r=this;Object.entries(Pe(this,cs)).forEach(function([i,c]){t(i)&&n.setNode(i,c)}),Object.values(Pe(this,Ua)).forEach(function(i){n.hasNode(i.v)&&n.hasNode(i.w)&&n.setEdge(i,r.edge(i))});var o={};function s(i){var c=r.parent(i);return c===void 0||n.hasNode(c)?(o[i]=c,c):c in o?o[c]:s(c)}return Pe(this,Vo)&&n.nodes().forEach(i=>n.setParent(i,s(i))),n}setDefaultEdgeLabel(t){return as(this,nu,t),typeof t!="function"&&as(this,nu,()=>t),this}edgeCount(){return Pe(this,ou)}edges(){return Object.values(Pe(this,Ua))}setPath(t,n){var r=this,o=arguments;return t.reduce(function(s,i){return o.length>1?r.setEdge(s,i,n):r.setEdge(s,i),i}),this}setEdge(){var t,n,r,o,s=!1,i=arguments[0];typeof i=="object"&&i!==null&&"v"in i?(t=i.v,n=i.w,r=i.name,arguments.length===2&&(o=arguments[1],s=!0)):(t=i,n=arguments[1],r=arguments[3],arguments.length>2&&(o=arguments[2],s=!0)),t=""+t,n=""+n,r!==void 0&&(r=""+r);var c=Cd(Pe(this,Po),t,n,r);if(Pe(this,Ga).hasOwnProperty(c))return s&&(Pe(this,Ga)[c]=o),this;if(r!==void 0&&!Pe(this,xl))throw new Error("Cannot set a named edge when isMultigraph = false");this.setNode(t),this.setNode(n),Pe(this,Ga)[c]=s?o:Pe(this,nu).call(this,t,n,r);var f=kde(Pe(this,Po),t,n,r);return t=f.v,n=f.w,Object.freeze(f),Pe(this,Ua)[c]=f,h_(Pe(this,Ai)[n],t),h_(Pe(this,Ni)[t],n),Pe(this,pa)[n][c]=f,Pe(this,ha)[t][c]=f,rd(this,ou)._++,this}edge(t,n,r){var o=arguments.length===1?p1(Pe(this,Po),arguments[0]):Cd(Pe(this,Po),t,n,r);return Pe(this,Ga)[o]}edgeAsObj(){const t=this.edge(...arguments);return typeof t!="object"?{label:t}:t}hasEdge(t,n,r){var o=arguments.length===1?p1(Pe(this,Po),arguments[0]):Cd(Pe(this,Po),t,n,r);return Pe(this,Ga).hasOwnProperty(o)}removeEdge(t,n,r){var o=arguments.length===1?p1(Pe(this,Po),arguments[0]):Cd(Pe(this,Po),t,n,r),s=Pe(this,Ua)[o];return s&&(t=s.v,n=s.w,delete Pe(this,Ga)[o],delete Pe(this,Ua)[o],m_(Pe(this,Ai)[n],t),m_(Pe(this,Ni)[t],n),delete Pe(this,pa)[n][o],delete Pe(this,ha)[t][o],rd(this,ou)._--),this}inEdges(t,n){var r=Pe(this,pa)[t];if(r){var o=Object.values(r);return n?o.filter(s=>s.v===n):o}}outEdges(t,n){var r=Pe(this,ha)[t];if(r){var o=Object.values(r);return n?o.filter(s=>s.w===n):o}}nodeEdges(t,n){var r=this.inEdges(t,n);if(r)return r.concat(this.outEdges(t,n))}},Po=new WeakMap,xl=new WeakMap,Vo=new WeakMap,Zd=new WeakMap,tu=new WeakMap,nu=new WeakMap,cs=new WeakMap,pa=new WeakMap,Ai=new WeakMap,ha=new WeakMap,Ni=new WeakMap,Ua=new WeakMap,Ga=new WeakMap,ru=new WeakMap,ou=new WeakMap,qa=new WeakMap,Ds=new WeakMap,ef=new WeakSet,Wb=function(t){delete Pe(this,Ds)[Pe(this,qa)[t]][t]},M_);function h_(e,t){e[t]?e[t]++:e[t]=1}function m_(e,t){--e[t]||delete e[t]}function Cd(e,t,n,r){var o=""+t,s=""+n;if(!e&&o>s){var i=o;o=s,s=i}return o+p_+s+p_+(r===void 0?Cde:r)}function kde(e,t,n,r){var o=""+t,s=""+n;if(!e&&o>s){var i=o;o=s,s=i}var c={v:o,w:s};return r&&(c.name=r),c}function p1(e,t){return Cd(e,t.v,t.w,t.name)}var p2=Sde,jde="2.1.13",_de={Graph:p2,version:jde},Pde=p2,Ide={write:Ede,read:Rde};function Ede(e){var t={options:{directed:e.isDirected(),multigraph:e.isMultigraph(),compound:e.isCompound()},nodes:Ode(e),edges:Mde(e)};return e.graph()!==void 0&&(t.value=structuredClone(e.graph())),t}function Ode(e){return e.nodes().map(function(t){var n=e.node(t),r=e.parent(t),o={v:t};return n!==void 0&&(o.value=n),r!==void 0&&(o.parent=r),o})}function Mde(e){return e.edges().map(function(t){var n=e.edge(t),r={v:t.v,w:t.w};return t.name!==void 0&&(r.name=t.name),n!==void 0&&(r.value=n),r})}function Rde(e){var t=new Pde(e.options).setGraph(e.value);return e.nodes.forEach(function(n){t.setNode(n.v,n.value),n.parent&&t.setParent(n.v,n.parent)}),e.edges.forEach(function(n){t.setEdge({v:n.v,w:n.w,name:n.name},n.value)}),t}var Dde=Ade;function Ade(e){var t={},n=[],r;function o(s){t.hasOwnProperty(s)||(t[s]=!0,r.push(s),e.successors(s).forEach(o),e.predecessors(s).forEach(o))}return e.nodes().forEach(function(s){r=[],o(s),r.length&&n.push(r)}),n}var so,Ka,tf,Vb,nf,Ub,su,gh,R_;let Nde=(R_=class{constructor(){rr(this,tf);rr(this,nf);rr(this,su);rr(this,so,[]);rr(this,Ka,{})}size(){return Pe(this,so).length}keys(){return Pe(this,so).map(function(t){return t.key})}has(t){return Pe(this,Ka).hasOwnProperty(t)}priority(t){var n=Pe(this,Ka)[t];if(n!==void 0)return Pe(this,so)[n].priority}min(){if(this.size()===0)throw new Error("Queue underflow");return Pe(this,so)[0].key}add(t,n){var r=Pe(this,Ka);if(t=String(t),!r.hasOwnProperty(t)){var o=Pe(this,so),s=o.length;return 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Key: "+t+" Old: "+Pe(this,so)[r].priority+" New: "+n);Pe(this,so)[r].priority=n,da(this,nf,Ub).call(this,r)}},so=new WeakMap,Ka=new WeakMap,tf=new WeakSet,Vb=function(t){var n=Pe(this,so),r=2*t,o=r+1,s=t;r<n.length&&(s=n[r].priority<n[s].priority?r:s,o<n.length&&(s=n[o].priority<n[s].priority?o:s),s!==t&&(da(this,su,gh).call(this,t,s),da(this,tf,Vb).call(this,s)))},nf=new WeakSet,Ub=function(t){for(var n=Pe(this,so),r=n[t].priority,o;t!==0&&(o=t>>1,!(n[o].priority<r));)da(this,su,gh).call(this,t,o),t=o},su=new WeakSet,gh=function(t,n){var r=Pe(this,so),o=Pe(this,Ka),s=r[t],i=r[n];r[t]=i,r[n]=s,o[i.key]=t,o[s.key]=n},R_);var QM=Nde,Tde=QM,YM=Lde,$de=()=>1;function Lde(e,t,n,r){return Fde(e,String(t),n||$de,r||function(o){return e.outEdges(o)})}function Fde(e,t,n,r){var o={},s=new Tde,i,c,f=function(p){var h=p.v!==i?p.v:p.w,m=o[h],v=n(p),b=c.distance+v;if(v<0)throw new Error("dijkstra does not allow negative edge weights. 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e=se(),{tool:t,brushColor:n,brushSize:r,isStaging:o}=z(Ige),{t:s}=Ie();St(["b"],()=>{i()},{enabled:()=>!o,preventDefault:!0},[]),St(["e"],()=>{c()},{enabled:()=>!o,preventDefault:!0},[t]),St(["c"],()=>{f()},{enabled:()=>!o,preventDefault:!0},[t]),St(["shift+f"],()=>{p()},{enabled:()=>!o,preventDefault:!0}),St(["delete","backspace"],()=>{h()},{enabled:()=>!o,preventDefault:!0}),St(["BracketLeft"],()=>{e(mv(Math.max(r-5,5)))},{enabled:()=>!o,preventDefault:!0},[r]),St(["BracketRight"],()=>{e(mv(Math.min(r+5,500)))},{enabled:()=>!o,preventDefault:!0},[r]),St(["Shift+BracketLeft"],()=>{e(gv({...n,a:El(n.a-.05,.05,1)}))},{enabled:()=>!o,preventDefault:!0},[n]),St(["Shift+BracketRight"],()=>{e(gv({...n,a:El(n.a+.05,.05,1)}))},{enabled:()=>!o,preventDefault:!0},[n]);const i=()=>e(Bc("brush")),c=()=>e(Bc("eraser")),f=()=>e(Bc("colorPicker")),p=()=>e(WN()),h=()=>e(VN());return a.jsxs(vr,{isAttached:!0,children:[a.jsx(tt,{"aria-label":`${s("unifiedCanvas.brush")} 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a.jsxs($,{sx:{alignItems:"center",gap:2,flexWrap:"wrap"},children:[a.jsx(Fe,{w:24,children:a.jsx(Zr,{tooltip:`${c("unifiedCanvas.layer")} (Q)`,value:o,data:GN,onChange:_,disabled:n})}),a.jsx(yge,{}),a.jsx(Oge,{}),a.jsxs(vr,{isAttached:!0,children:[a.jsx(tt,{"aria-label":`${c("unifiedCanvas.move")} (V)`,tooltip:`${c("unifiedCanvas.move")} (V)`,icon:a.jsx(oJ,{}),isChecked:s==="move"||n,onClick:m}),a.jsx(tt,{"aria-label":`${c("unifiedCanvas.resetView")} (R)`,tooltip:`${c("unifiedCanvas.resetView")} (R)`,icon:a.jsx(lJ,{}),onClick:v})]}),a.jsxs(vr,{isAttached:!0,children:[a.jsx(tt,{"aria-label":`${c("unifiedCanvas.mergeVisible")} (Shift+M)`,tooltip:`${c("unifiedCanvas.mergeVisible")} (Shift+M)`,icon:a.jsx(kJ,{}),onClick:x,isDisabled:n}),a.jsx(tt,{"aria-label":`${c("unifiedCanvas.saveToGallery")} (Shift+S)`,tooltip:`${c("unifiedCanvas.saveToGallery")} (Shift+S)`,icon:a.jsx(Eg,{}),onClick:C,isDisabled:n}),f&&a.jsx(tt,{"aria-label":`${c("unifiedCanvas.copyToClipboard")} 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e=z(JN),t=z(jr),n=z(Bge),{t:r}=Ie(),o=se(),s=u.useCallback(D=>{D.target instanceof HTMLElement&&D.target.blur()},[]),i=u.useMemo(()=>n.map(D=>a.jsx(Mn,{hasArrow:!0,label:String(r(D.translationKey)),placement:"end",children:a.jsxs(Ro,{onClick:s,children:[a.jsx(H3,{children:String(r(D.translationKey))}),D.icon]})},D.id)),[n,r,s]),c=u.useMemo(()=>n.map(D=>a.jsx(bs,{children:D.content},D.id)),[n]),f=u.useCallback(D=>{const T=ZN[D];T&&o(va(T))},[o]),{minSize:p,isCollapsed:h,setIsCollapsed:m,ref:v,reset:b,expand:y,collapse:x,toggle:C}=$j(Hge,"pixels"),{ref:k,minSize:j,isCollapsed:_,setIsCollapsed:I,reset:O,expand:E,collapse:M,toggle:R}=$j(Vge,"pixels");St("f",()=>{_||h?(E(),y()):(x(),M())},[o,_,h]),St(["t","o"],()=>{C()},[o]),St("g",()=>{R()},[o]);const A=e2();return 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s=JSON.stringify(n9(e),null,2);navigator.clipboard.writeText(`\`\`\`
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-\`\`\``),n({title:"Error Copied"})},[e,n]),o=u.useMemo(()=>Zge({user:"invoke-ai",repo:"InvokeAI",template:"BUG_REPORT.yml",title:`[bug]: ${e.name}: ${e.message}`}),[e.message,e.name]);return a.jsx($,{layerStyle:"body",sx:{w:"100vw",h:"100vh",alignItems:"center",justifyContent:"center",p:4},children:a.jsxs($,{layerStyle:"first",sx:{flexDir:"column",borderRadius:"base",justifyContent:"center",gap:8,p:16},children:[a.jsx(ds,{children:"Something went wrong"}),a.jsx($,{layerStyle:"second",sx:{px:8,py:4,borderRadius:"base",gap:4,justifyContent:"space-between",alignItems:"center"},children:a.jsxs(Ee,{sx:{fontWeight:600,color:"error.500",_dark:{color:"error.400"}},children:[e.name,": ",e.message]})}),a.jsxs($,{sx:{gap:4},children:[a.jsx(Wt,{leftIcon:a.jsx(Upe,{}),onClick:t,children:"Reset UI"}),a.jsx(Wt,{leftIcon:a.jsx(Du,{}),onClick:r,children:"Copy Error"}),a.jsx(rg,{href:o,isExternal:!0,children:a.jsx(Wt,{leftIcon:a.jsx($E,{}),children:"Create Issue"})})]})]})})},t0e=u.memo(e0e),n0e=le([ke],({hotkeys:e})=>{const{shift:t,ctrl:n,meta:r}=e;return{shift:t,ctrl:n,meta:r}},{memoizeOptions:{resultEqualityCheck:mn}}),r0e=()=>{const e=se(),{shift:t,ctrl:n,meta:r}=z(n0e);return St("*",()=>{fh("shift")?!t&&e(Do(!0)):t&&e(Do(!1)),fh("ctrl")?!n&&e(RC(!0)):n&&e(RC(!1)),fh("meta")?!r&&e(DC(!0)):r&&e(DC(!1))},{keyup:!0,keydown:!0},[t,n,r]),St("1",()=>{e(va("txt2img"))}),St("2",()=>{e(va("img2img"))}),St("3",()=>{e(va("unifiedCanvas"))}),St("4",()=>{e(va("nodes"))}),St("5",()=>{e(va("modelManager"))}),null},o0e=u.memo(r0e),s0e={},a0e=({config:e=s0e,headerComponent:t,selectedImage:n})=>{const r=z(BP),o=HP("system"),s=se(),{handlePreselectedImage:i}=Jge(),c=u.useCallback(()=>(localStorage.clear(),location.reload(),!1),[]);return u.useEffect(()=>{Sr.changeLanguage(r)},[r]),u.useEffect(()=>{l3(e)&&(o.info({config:e},"Received config"),s(r9(e)))},[s,e,o]),u.useEffect(()=>{s(o9())},[s]),u.useEffect(()=>{i(n)},[i,n]),a.jsxs(Qge,{onReset:c,FallbackComponent:t0e,children:[a.jsx(Vi,{w:"100vw",h:"100vh",position:"relative",overflow:"hidden",children:a.jsx(OV,{children:a.jsxs(Vi,{sx:{gap:4,p:4,gridAutoRows:"min-content auto",w:"full",h:"full"},children:[t||a.jsx(cZ,{}),a.jsx($,{sx:{gap:4,w:"full",h:"full"},children:a.jsx(Kge,{})})]})})}),a.jsx(KY,{}),a.jsx(WY,{}),a.jsx(xW,{}),a.jsx(o0e,{})]})},m0e=u.memo(a0e);export{m0e as default};
diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-707a230a.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a10df140.js
similarity index 90%
rename from invokeai/frontend/web/dist/assets/ThemeLocaleProvider-707a230a.js
rename to invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a10df140.js
index f4bc264bf2..05b7ce3bb3 100644
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-707a230a.js
+++ b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a10df140.js
@@ -1,4 +1,4 @@
-import{x as m,h1 as Ze,w as y,Z as Ya,h2 as Za,a8 as ua,ac as d,h3 as b,h4 as o,h5 as Ja,h6 as h,h7 as fa,h8 as Qa,h9 as eo,aF as ro,ha as ao,a5 as oo,hb as to}from"./index-08cda350.js";import{s as ha,n as t,t as io,o as ma,p as no,q as ga,v as ya,w as pa,x as lo,y as Sa,z as xa,A as xr,B as so,D as co,E as bo,F as $a,G as ka,H as _a,J as vo,K as wa,L as uo,M as fo,N as ho,O as mo,Q as za,R as go,S as yo,T as po,U as So,V as xo,W as $o,e as ko,X as _o}from"./menu-3d10c968.js";var Ca=String.raw,Aa=Ca`
+import{v as m,h5 as Je,u as y,Y as Xa,h6 as Ja,a7 as ua,ab as d,h7 as b,h8 as o,h9 as Qa,ha as h,hb as fa,hc as Za,hd as eo,aE as ro,he as ao,a4 as oo,hf as to}from"./index-221b61a5.js";import{s as ha,n as t,t as io,o as ma,p as no,q as ga,v as ya,w as pa,x as lo,y as Sa,z as xa,A as xr,B as so,D as co,E as bo,F as $a,G as ka,H as _a,J as vo,K as wa,L as uo,M as fo,N as ho,O as mo,Q as za,R as go,S as yo,T as po,U as So,V as xo,W as $o,e as ko,X as _o}from"./menu-0be27786.js";var Ca=String.raw,Aa=Ca`
   :root,
   :host {
     --chakra-vh: 100vh;
@@ -24,7 +24,7 @@ import{x as m,h1 as Ze,w as y,Z as Ya,h2 as Za,a8 as ua,ac as d,h3 as b,h4 as o,
       --chakra-vh: 100dvh;
     }
   }
-`,wo=()=>m.jsx(Ze,{styles:Aa}),zo=({scope:e=""})=>m.jsx(Ze,{styles:Ca`
+`,wo=()=>m.jsx(Je,{styles:Aa}),zo=({scope:e=""})=>m.jsx(Je,{styles:Ca`
       html {
         line-height: 1.5;
         -webkit-text-size-adjust: 100%;
@@ -277,7 +277,7 @@ import{x as m,h1 as Ze,w as y,Z as Ya,h2 as Za,a8 as ua,ac as d,h3 as b,h4 as o,
       }
 
       ${Aa}
-    `}),Ce={light:"chakra-ui-light",dark:"chakra-ui-dark"};function Co(e={}){const{preventTransition:r=!0}=e,a={setDataset:i=>{const n=r?a.preventTransition():void 0;document.documentElement.dataset.theme=i,document.documentElement.style.colorScheme=i,n==null||n()},setClassName(i){document.body.classList.add(i?Ce.dark:Ce.light),document.body.classList.remove(i?Ce.light:Ce.dark)},query(){return window.matchMedia("(prefers-color-scheme: dark)")},getSystemTheme(i){var n;return((n=a.query().matches)!=null?n:i==="dark")?"dark":"light"},addListener(i){const n=a.query(),l=s=>{i(s.matches?"dark":"light")};return typeof n.addListener=="function"?n.addListener(l):n.addEventListener("change",l),()=>{typeof n.removeListener=="function"?n.removeListener(l):n.removeEventListener("change",l)}},preventTransition(){const i=document.createElement("style");return i.appendChild(document.createTextNode("*{-webkit-transition:none!important;-moz-transition:none!important;-o-transition:none!important;-ms-transition:none!important;transition:none!important}")),document.head.appendChild(i),()=>{window.getComputedStyle(document.body),requestAnimationFrame(()=>{requestAnimationFrame(()=>{document.head.removeChild(i)})})}}};return a}var Ao="chakra-ui-color-mode";function Pa(e){return{ssr:!1,type:"localStorage",get(r){if(!(globalThis!=null&&globalThis.document))return r;let a;try{a=localStorage.getItem(e)||r}catch{}return a||r},set(r){try{localStorage.setItem(e,r)}catch{}}}}var Po=Pa(Ao),Pr=()=>{};function Tr(e,r){return e.type==="cookie"&&e.ssr?e.get(r):r}function Ta(e){const{value:r,children:a,options:{useSystemColorMode:i,initialColorMode:n,disableTransitionOnChange:l}={},colorModeManager:s=Po}=e,c=n==="dark"?"dark":"light",[v,x]=y.useState(()=>Tr(s,c)),[T,N]=y.useState(()=>Tr(s)),{getSystemTheme:te,setClassName:_e,setDataset:zr,addListener:Cr}=y.useMemo(()=>Co({preventTransition:l}),[l]),we=n==="system"&&!v?T:v,C=y.useCallback(ie=>{const ze=ie==="system"?te():ie;x(ze),_e(ze==="dark"),zr(ze),s.set(ze)},[s,te,_e,zr]);Ya(()=>{n==="system"&&N(te())},[]),y.useEffect(()=>{const ie=s.get();if(ie){C(ie);return}if(n==="system"){C("system");return}C(c)},[s,c,n,C]);const Ar=y.useCallback(()=>{C(we==="dark"?"light":"dark")},[we,C]);y.useEffect(()=>{if(i)return Cr(C)},[i,Cr,C]);const Xa=y.useMemo(()=>({colorMode:r??we,toggleColorMode:r?Pr:Ar,setColorMode:r?Pr:C,forced:r!==void 0}),[we,Ar,C,r]);return m.jsx(Za.Provider,{value:Xa,children:a})}Ta.displayName="ColorModeProvider";var 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1)"},Bo={"ultra-fast":"50ms",faster:"100ms",fast:"150ms",normal:"200ms",slow:"300ms",slower:"400ms","ultra-slow":"500ms"},Eo={property:Io,easing:Mo,duration:Bo},Do=Eo,Ro={hide:-1,auto:"auto",base:0,docked:10,dropdown:1e3,sticky:1100,banner:1200,overlay:1300,modal:1400,popover:1500,skipLink:1600,toast:1700,tooltip:1800},jo=Ro,Ho={none:0,"1px":"1px solid","2px":"2px solid","4px":"4px solid","8px":"8px solid"},Wo=Ho,Vo={base:"0em",sm:"30em",md:"48em",lg:"62em",xl:"80em","2xl":"96em"},Lo=Vo,qo={transparent:"transparent",current:"currentColor",black:"#000000",white:"#FFFFFF",whiteAlpha:{50:"rgba(255, 255, 255, 0.04)",100:"rgba(255, 255, 255, 0.06)",200:"rgba(255, 255, 255, 0.08)",300:"rgba(255, 255, 255, 0.16)",400:"rgba(255, 255, 255, 0.24)",500:"rgba(255, 255, 255, 0.36)",600:"rgba(255, 255, 255, 0.48)",700:"rgba(255, 255, 255, 0.64)",800:"rgba(255, 255, 255, 0.80)",900:"rgba(255, 255, 255, 0.92)"},blackAlpha:{50:"rgba(0, 0, 0, 0.04)",100:"rgba(0, 0, 0, 0.06)",200:"rgba(0, 0, 0, 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0.92)"},gray:{50:"#F7FAFC",100:"#EDF2F7",200:"#E2E8F0",300:"#CBD5E0",400:"#A0AEC0",500:"#718096",600:"#4A5568",700:"#2D3748",800:"#1A202C",900:"#171923"},red:{50:"#FFF5F5",100:"#FED7D7",200:"#FEB2B2",300:"#FC8181",400:"#F56565",500:"#E53E3E",600:"#C53030",700:"#9B2C2C",800:"#822727",900:"#63171B"},orange:{50:"#FFFAF0",100:"#FEEBC8",200:"#FBD38D",300:"#F6AD55",400:"#ED8936",500:"#DD6B20",600:"#C05621",700:"#9C4221",800:"#7B341E",900:"#652B19"},yellow:{50:"#FFFFF0",100:"#FEFCBF",200:"#FAF089",300:"#F6E05E",400:"#ECC94B",500:"#D69E2E",600:"#B7791F",700:"#975A16",800:"#744210",900:"#5F370E"},green:{50:"#F0FFF4",100:"#C6F6D5",200:"#9AE6B4",300:"#68D391",400:"#48BB78",500:"#38A169",600:"#2F855A",700:"#276749",800:"#22543D",900:"#1C4532"},teal:{50:"#E6FFFA",100:"#B2F5EA",200:"#81E6D9",300:"#4FD1C5",400:"#38B2AC",500:"#319795",600:"#2C7A7B",700:"#285E61",800:"#234E52",900:"#1D4044"},blue:{50:"#ebf8ff",100:"#bee3f8",200:"#90cdf4",300:"#63b3ed",400:"#4299e1",500:"#3182ce",600:"#2b6cb0",700:"#2c5282",800:"#2a4365",900:"#1A365D"},cyan:{50:"#EDFDFD",100:"#C4F1F9",200:"#9DECF9",300:"#76E4F7",400:"#0BC5EA",500:"#00B5D8",600:"#00A3C4",700:"#0987A0",800:"#086F83",900:"#065666"},purple:{50:"#FAF5FF",100:"#E9D8FD",200:"#D6BCFA",300:"#B794F4",400:"#9F7AEA",500:"#805AD5",600:"#6B46C1",700:"#553C9A",800:"#44337A",900:"#322659"},pink:{50:"#FFF5F7",100:"#FED7E2",200:"#FBB6CE",300:"#F687B3",400:"#ED64A6",500:"#D53F8C",600:"#B83280",700:"#97266D",800:"#702459",900:"#521B41"},linkedin:{50:"#E8F4F9",100:"#CFEDFB",200:"#9BDAF3",300:"#68C7EC",400:"#34B3E4",500:"#00A0DC",600:"#008CC9",700:"#0077B5",800:"#005E93",900:"#004471"},facebook:{50:"#E8F4F9",100:"#D9DEE9",200:"#B7C2DA",300:"#6482C0",400:"#4267B2",500:"#385898",600:"#314E89",700:"#29487D",800:"#223B67",900:"#1E355B"},messenger:{50:"#D0E6FF",100:"#B9DAFF",200:"#A2CDFF",300:"#7AB8FF",400:"#2E90FF",500:"#0078FF",600:"#0063D1",700:"#0052AC",800:"#003C7E",900:"#002C5C"},whatsapp:{50:"#dffeec",100:"#b9f5d0",200:"#90edb3",300:"#65e495",400:"#3cdd78",500:"#22c35e",600:"#179848",700:"#0c6c33",800:"#01421c",900:"#001803"},twitter:{50:"#E5F4FD",100:"#C8E9FB",200:"#A8DCFA",300:"#83CDF7",400:"#57BBF5",500:"#1DA1F2",600:"#1A94DA",700:"#1681BF",800:"#136B9E",900:"#0D4D71"},telegram:{50:"#E3F2F9",100:"#C5E4F3",200:"#A2D4EC",300:"#7AC1E4",400:"#47A9DA",500:"#0088CC",600:"#007AB8",700:"#006BA1",800:"#005885",900:"#003F5E"}},No=qo,Oo={none:"0",sm:"0.125rem",base:"0.25rem",md:"0.375rem",lg:"0.5rem",xl:"0.75rem","2xl":"1rem","3xl":"1.5rem",full:"9999px"},Go=Oo,Uo={xs:"0 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0 0.3rem var(--invokeai-colors-accent-100)","0 0 0.3rem var(--invokeai-colors-accent-900)")(e),svg:{fill:t("base.700","base.300")(e)},_selected:{bg:t("accent.400","accent.600")(e),color:t("base.50","base.100")(e),svg:{fill:t("base.50","base.100")(e),filter:t(`drop-shadow(0px 0px 0.3rem var(--invokeai-colors-${r}-600))`,`drop-shadow(0px 0px 0.3rem var(--invokeai-colors-${r}-800))`)(e)},_hover:{bg:t("accent.500","accent.500")(e),color:t("white","base.50")(e),svg:{fill:t("white","base.50")(e)}}},_hover:{bg:t("base.100","base.800")(e),color:t("base.900","base.50")(e),svg:{fill:t("base.800","base.100")(e)}}}}}),xc=o(e=>({padding:0,height:"100%"})),$c=Ya(e=>({root:yc(e),tab:pc(e),tablist:Sc(e),tabpanel:xc(e)})),kc=Ya(e=>({tab:{borderTopRadius:"base",px:4,py:1,fontSize:"sm",color:t("base.600","base.400")(e),fontWeight:500,_selected:{color:t("accent.600","accent.400")(e)}},tabpanel:{p:0,pt:4,w:"full",h:"full"},tabpanels:{w:"full",h:"full"}})),_c=gc({variants:{line:kc,appTabs:$c},defaultProps:{variant:"appTabs",colorScheme:"accent"}}),wc=o(e=>({color:t("base.500","base.400")(e)})),zc=h({variants:{subtext:wc}}),Cc=o(e=>({...er(e),"::-webkit-scrollbar":{display:"initial"},"::-webkit-resizer":{backgroundImage:`linear-gradient(135deg,
       var(--invokeai-colors-base-50) 0%,
       var(--invokeai-colors-base-50) 70%,
       var(--invokeai-colors-base-200) 70%,
@@ -307,4 +307,4 @@ import{x as m,h1 as Ze,w as y,Z as Ya,h2 as Za,a8 as ua,ac as d,h3 as b,h4 as o,
           var(--invokeai-colors-base-900) 0%,
           var(--invokeai-colors-base-900) 70%,
           var(--invokeai-colors-base-800) 70%,
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diff --git a/invokeai/frontend/web/dist/assets/index-08cda350.js b/invokeai/frontend/web/dist/assets/index-08cda350.js
deleted file mode 100644
index 40c468ebd5..0000000000
--- a/invokeai/frontend/web/dist/assets/index-08cda350.js
+++ /dev/null
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r=[];for(const i of n){if(i.status==="aborted")return ke;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return pr.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return ke;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const ke=Object.freeze({status:"aborted"}),Q7=e=>({status:"dirty",value:e}),kr=e=>({status:"valid",value:e}),cx=e=>e.status==="aborted",dx=e=>e.status==="dirty",Vh=e=>e.status==="valid",vy=e=>typeof Promise<"u"&&e instanceof Promise;var xe;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(xe||(xe={}));class Wo{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const X6=(e,t)=>{if(Vh(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new oo(e.common.issues);return this._error=n,this._error}}};function Re(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class Ie{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return fa(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:fa(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new pr,ctx:{common:t.parent.common,data:t.data,parsedType:fa(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(vy(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:fa(t)},o=this._parseSync({data:t,path:i.path,parent:i});return X6(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:fa(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(vy(i)?i:Promise.resolve(i));return X6(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:te.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new fo({schema:this,typeName:Ee.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Ts.create(this,this._def)}nullable(){return lu.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return so.create(this,this._def)}promise(){return pd.create(this,this._def)}or(t){return qh.create([this,t],this._def)}and(t){return Kh.create(this,t,this._def)}transform(t){return new fo({...Re(this._def),schema:this,typeName:Ee.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new Jh({...Re(this._def),innerType:this,defaultValue:n,typeName:Ee.ZodDefault})}brand(){return new eN({typeName:Ee.ZodBranded,type:this,...Re(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new wy({...Re(this._def),innerType:this,catchValue:n,typeName:Ee.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return rg.create(this,t)}readonly(){return Cy.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const bee=/^c[^\s-]{8,}$/i,See=/^[a-z][a-z0-9]*$/,wee=/[0-9A-HJKMNP-TV-Z]{26}/,xee=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,Cee=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,Eee=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,Tee=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,Aee=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,kee=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Pee(e,t){return!!((t==="v4"||!t)&&Tee.test(e)||(t==="v6"||!t)&&Aee.test(e))}class to extends Ie{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:te.invalid_string,...xe.errToObj(r)}),this.nonempty=t=>this.min(1,xe.errToObj(t)),this.trim=()=>new to({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new to({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new to({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==ue.string){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.string,received:o.parsedType}),ke}const r=new pr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),fe(i,{code:te.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),fe(i,{code:te.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?fe(i,{code:te.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&fe(i,{code:te.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")Cee.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"email",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")Eee.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"emoji",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")xee.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"uuid",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")bee.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"cuid",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")See.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"cuid2",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")wee.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"ulid",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),fe(i,{validation:"url",code:te.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"regex",code:te.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),fe(i,{code:te.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),fe(i,{code:te.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),fe(i,{code:te.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?kee(o).test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{code:te.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Pee(t.data,o.version)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"ip",code:te.invalid_string,message:o.message}),r.dirty()):Ze.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new to({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...xe.errToObj(t)})}url(t){return this._addCheck({kind:"url",...xe.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...xe.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...xe.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...xe.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...xe.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...xe.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...xe.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...xe.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...xe.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...xe.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...xe.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...xe.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...xe.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...xe.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...xe.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}to.create=e=>{var t;return new to({checks:[],typeName:Ee.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Re(e)})};function Oee(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class Ga extends Ie{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==ue.number){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.number,received:o.parsedType}),ke}let r;const i=new pr;for(const o of this._def.checks)o.kind==="int"?Ze.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),fe(r,{code:te.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?Oee(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),fe(r,{code:te.not_finite,message:o.message}),i.dirty()):Ze.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,xe.toString(n))}gt(t,n){return this.setLimit("min",t,!1,xe.toString(n))}lte(t,n){return this.setLimit("max",t,!0,xe.toString(n))}lt(t,n){return this.setLimit("max",t,!1,xe.toString(n))}setLimit(t,n,r,i){return new Ga({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:xe.toString(i)}]})}_addCheck(t){return new Ga({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:xe.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:xe.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:xe.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:xe.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:xe.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:xe.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:xe.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:xe.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:xe.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Ze.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}Ga.create=e=>new Ga({checks:[],typeName:Ee.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Re(e)});class Ha extends Ie{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==ue.bigint){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.bigint,received:o.parsedType}),ke}let r;const i=new pr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Ze.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,xe.toString(n))}gt(t,n){return this.setLimit("min",t,!1,xe.toString(n))}lte(t,n){return this.setLimit("max",t,!0,xe.toString(n))}lt(t,n){return this.setLimit("max",t,!1,xe.toString(n))}setLimit(t,n,r,i){return new Ha({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:xe.toString(i)}]})}_addCheck(t){return new Ha({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:xe.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:xe.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:xe.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:xe.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:xe.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ha.create=e=>{var t;return new Ha({checks:[],typeName:Ee.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Re(e)})};class Gh extends Ie{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==ue.boolean){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.boolean,received:r.parsedType}),ke}return kr(t.data)}}Gh.create=e=>new Gh({typeName:Ee.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Re(e)});class su extends Ie{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==ue.date){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.date,received:o.parsedType}),ke}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_date}),ke}const r=new pr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),fe(i,{code:te.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),fe(i,{code:te.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Ze.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new su({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:xe.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:xe.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}su.create=e=>new su({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ee.ZodDate,...Re(e)});class _y extends Ie{_parse(t){if(this._getType(t)!==ue.symbol){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.symbol,received:r.parsedType}),ke}return kr(t.data)}}_y.create=e=>new _y({typeName:Ee.ZodSymbol,...Re(e)});class Hh extends Ie{_parse(t){if(this._getType(t)!==ue.undefined){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.undefined,received:r.parsedType}),ke}return kr(t.data)}}Hh.create=e=>new Hh({typeName:Ee.ZodUndefined,...Re(e)});class Wh extends Ie{_parse(t){if(this._getType(t)!==ue.null){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.null,received:r.parsedType}),ke}return kr(t.data)}}Wh.create=e=>new Wh({typeName:Ee.ZodNull,...Re(e)});class hd extends Ie{constructor(){super(...arguments),this._any=!0}_parse(t){return kr(t.data)}}hd.create=e=>new hd({typeName:Ee.ZodAny,...Re(e)});class Yl extends Ie{constructor(){super(...arguments),this._unknown=!0}_parse(t){return kr(t.data)}}Yl.create=e=>new Yl({typeName:Ee.ZodUnknown,...Re(e)});class $s extends Ie{_parse(t){const n=this._getOrReturnCtx(t);return fe(n,{code:te.invalid_type,expected:ue.never,received:n.parsedType}),ke}}$s.create=e=>new $s({typeName:Ee.ZodNever,...Re(e)});class by extends Ie{_parse(t){if(this._getType(t)!==ue.undefined){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.void,received:r.parsedType}),ke}return kr(t.data)}}by.create=e=>new by({typeName:Ee.ZodVoid,...Re(e)});class so extends Ie{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==ue.array)return fe(n,{code:te.invalid_type,expected:ue.array,received:n.parsedType}),ke;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(fe(n,{code:s?te.too_big:te.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(fe(n,{code:te.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(fe(n,{code:te.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Wo(n,s,n.path,a)))).then(s=>pr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Wo(n,s,n.path,a)));return pr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new so({...this._def,minLength:{value:t,message:xe.toString(n)}})}max(t,n){return new so({...this._def,maxLength:{value:t,message:xe.toString(n)}})}length(t,n){return new so({...this._def,exactLength:{value:t,message:xe.toString(n)}})}nonempty(t){return this.min(1,t)}}so.create=(e,t)=>new so({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ee.ZodArray,...Re(t)});function sc(e){if(e instanceof Vt){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ts.create(sc(r))}return new Vt({...e._def,shape:()=>t})}else return e instanceof so?new so({...e._def,type:sc(e.element)}):e instanceof Ts?Ts.create(sc(e.unwrap())):e instanceof lu?lu.create(sc(e.unwrap())):e instanceof qo?qo.create(e.items.map(t=>sc(t))):e}class Vt extends Ie{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Ze.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==ue.object){const u=this._getOrReturnCtx(t);return fe(u,{code:te.invalid_type,expected:ue.object,received:u.parsedType}),ke}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof $s&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new Wo(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof $s){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(fe(i,{code:te.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new Wo(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>pr.mergeObjectSync(r,u)):pr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return xe.errToObj,new Vt({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=xe.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Vt({...this._def,unknownKeys:"strip"})}passthrough(){return new Vt({...this._def,unknownKeys:"passthrough"})}extend(t){return new Vt({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Vt({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ee.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Vt({...this._def,catchall:t})}pick(t){const n={};return Ze.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Vt({...this._def,shape:()=>n})}omit(t){const n={};return Ze.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Vt({...this._def,shape:()=>n})}deepPartial(){return sc(this)}partial(t){const n={};return Ze.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Vt({...this._def,shape:()=>n})}required(t){const n={};return Ze.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ts;)o=o._def.innerType;n[r]=o}}),new Vt({...this._def,shape:()=>n})}keyof(){return J7(Ze.objectKeys(this.shape))}}Vt.create=(e,t)=>new Vt({shape:()=>e,unknownKeys:"strip",catchall:$s.create(),typeName:Ee.ZodObject,...Re(t)});Vt.strictCreate=(e,t)=>new Vt({shape:()=>e,unknownKeys:"strict",catchall:$s.create(),typeName:Ee.ZodObject,...Re(t)});Vt.lazycreate=(e,t)=>new Vt({shape:e,unknownKeys:"strip",catchall:$s.create(),typeName:Ee.ZodObject,...Re(t)});class qh extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new oo(a.ctx.common.issues));return fe(n,{code:te.invalid_union,unionErrors:s}),ke}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new oo(l));return fe(n,{code:te.invalid_union,unionErrors:a}),ke}}get options(){return this._def.options}}qh.create=(e,t)=>new qh({options:e,typeName:Ee.ZodUnion,...Re(t)});const f0=e=>e instanceof Yh?f0(e.schema):e instanceof fo?f0(e.innerType()):e instanceof Zh?[e.value]:e instanceof Wa?e.options:e instanceof Qh?Object.keys(e.enum):e instanceof Jh?f0(e._def.innerType):e instanceof Hh?[void 0]:e instanceof Wh?[null]:null;class c1 extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ue.object)return fe(n,{code:te.invalid_type,expected:ue.object,received:n.parsedType}),ke;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(fe(n,{code:te.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ke)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=f0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new c1({typeName:Ee.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Re(r)})}}function fx(e,t){const n=fa(e),r=fa(t);if(e===t)return{valid:!0,data:e};if(n===ue.object&&r===ue.object){const i=Ze.objectKeys(t),o=Ze.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=fx(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===ue.array&&r===ue.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=fx(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===ue.date&&r===ue.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class Kh extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(cx(o)||cx(s))return ke;const a=fx(o.value,s.value);return a.valid?((dx(o)||dx(s))&&n.dirty(),{status:n.value,value:a.data}):(fe(r,{code:te.invalid_intersection_types}),ke)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}Kh.create=(e,t,n)=>new Kh({left:e,right:t,typeName:Ee.ZodIntersection,...Re(n)});class qo extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.array)return fe(r,{code:te.invalid_type,expected:ue.array,received:r.parsedType}),ke;if(r.data.length<this._def.items.length)return fe(r,{code:te.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),ke;!this._def.rest&&r.data.length>this._def.items.length&&(fe(r,{code:te.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Wo(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>pr.mergeArray(n,s)):pr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new qo({...this._def,rest:t})}}qo.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new qo({items:e,typeName:Ee.ZodTuple,rest:null,...Re(t)})};class Xh extends Ie{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.object)return fe(r,{code:te.invalid_type,expected:ue.object,received:r.parsedType}),ke;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Wo(r,a,r.path,a)),value:s._parse(new Wo(r,r.data[a],r.path,a))});return r.common.async?pr.mergeObjectAsync(n,i):pr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof Ie?new Xh({keyType:t,valueType:n,typeName:Ee.ZodRecord,...Re(r)}):new Xh({keyType:to.create(),valueType:t,typeName:Ee.ZodRecord,...Re(n)})}}class Sy extends Ie{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.map)return fe(r,{code:te.invalid_type,expected:ue.map,received:r.parsedType}),ke;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Wo(r,a,r.path,[u,"key"])),value:o._parse(new Wo(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ke;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ke;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}Sy.create=(e,t,n)=>new Sy({valueType:t,keyType:e,typeName:Ee.ZodMap,...Re(n)});class au extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.set)return fe(r,{code:te.invalid_type,expected:ue.set,received:r.parsedType}),ke;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(fe(r,{code:te.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(fe(r,{code:te.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return ke;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Wo(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new au({...this._def,minSize:{value:t,message:xe.toString(n)}})}max(t,n){return new au({...this._def,maxSize:{value:t,message:xe.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}au.create=(e,t)=>new au({valueType:e,minSize:null,maxSize:null,typeName:Ee.ZodSet,...Re(t)});class Vc extends Ie{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ue.function)return fe(n,{code:te.invalid_type,expected:ue.function,received:n.parsedType}),ke;function r(a,l){return yy({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,my(),jh].filter(u=>!!u),issueData:{code:te.invalid_arguments,argumentsError:l}})}function i(a,l){return yy({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,my(),jh].filter(u=>!!u),issueData:{code:te.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof pd){const a=this;return kr(async function(...l){const u=new oo([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return kr(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new oo([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new oo([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Vc({...this._def,args:qo.create(t).rest(Yl.create())})}returns(t){return new Vc({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Vc({args:t||qo.create([]).rest(Yl.create()),returns:n||Yl.create(),typeName:Ee.ZodFunction,...Re(r)})}}class Yh extends Ie{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}Yh.create=(e,t)=>new Yh({getter:e,typeName:Ee.ZodLazy,...Re(t)});class Zh extends Ie{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return fe(n,{received:n.data,code:te.invalid_literal,expected:this._def.value}),ke}return{status:"valid",value:t.data}}get value(){return this._def.value}}Zh.create=(e,t)=>new Zh({value:e,typeName:Ee.ZodLiteral,...Re(t)});function J7(e,t){return new Wa({values:e,typeName:Ee.ZodEnum,...Re(t)})}class Wa extends Ie{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return fe(n,{expected:Ze.joinValues(r),received:n.parsedType,code:te.invalid_type}),ke}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return fe(n,{received:n.data,code:te.invalid_enum_value,options:r}),ke}return kr(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return Wa.create(t)}exclude(t){return Wa.create(this.options.filter(n=>!t.includes(n)))}}Wa.create=J7;class Qh extends Ie{_parse(t){const n=Ze.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==ue.string&&r.parsedType!==ue.number){const i=Ze.objectValues(n);return fe(r,{expected:Ze.joinValues(i),received:r.parsedType,code:te.invalid_type}),ke}if(n.indexOf(t.data)===-1){const i=Ze.objectValues(n);return fe(r,{received:r.data,code:te.invalid_enum_value,options:i}),ke}return kr(t.data)}get enum(){return this._def.values}}Qh.create=(e,t)=>new Qh({values:e,typeName:Ee.ZodNativeEnum,...Re(t)});class pd extends Ie{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ue.promise&&n.common.async===!1)return fe(n,{code:te.invalid_type,expected:ue.promise,received:n.parsedType}),ke;const r=n.parsedType===ue.promise?n.data:Promise.resolve(n.data);return kr(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}pd.create=(e,t)=>new pd({type:e,typeName:Ee.ZodPromise,...Re(t)});class fo extends Ie{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ee.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{fe(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ke:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ke:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!Vh(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>Vh(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Ze.assertNever(i)}}fo.create=(e,t,n)=>new fo({schema:e,typeName:Ee.ZodEffects,effect:t,...Re(n)});fo.createWithPreprocess=(e,t,n)=>new fo({schema:t,effect:{type:"preprocess",transform:e},typeName:Ee.ZodEffects,...Re(n)});class Ts extends Ie{_parse(t){return this._getType(t)===ue.undefined?kr(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ts.create=(e,t)=>new Ts({innerType:e,typeName:Ee.ZodOptional,...Re(t)});class lu extends Ie{_parse(t){return this._getType(t)===ue.null?kr(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}lu.create=(e,t)=>new lu({innerType:e,typeName:Ee.ZodNullable,...Re(t)});class Jh extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===ue.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}Jh.create=(e,t)=>new Jh({innerType:e,typeName:Ee.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Re(t)});class wy extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return vy(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new oo(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new oo(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}wy.create=(e,t)=>new wy({innerType:e,typeName:Ee.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Re(t)});class xy extends Ie{_parse(t){if(this._getType(t)!==ue.nan){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.nan,received:r.parsedType}),ke}return{status:"valid",value:t.data}}}xy.create=e=>new xy({typeName:Ee.ZodNaN,...Re(e)});const Ree=Symbol("zod_brand");class eN extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class rg extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?ke:o.status==="dirty"?(n.dirty(),Q7(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?ke:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new rg({in:t,out:n,typeName:Ee.ZodPipeline})}}class Cy extends Ie{_parse(t){const n=this._def.innerType._parse(t);return Vh(n)&&(n.value=Object.freeze(n.value)),n}}Cy.create=(e,t)=>new Cy({innerType:e,typeName:Ee.ZodReadonly,...Re(t)});const tN=(e,t={},n)=>e?hd.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):hd.create(),Iee={object:Vt.lazycreate};var Ee;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(Ee||(Ee={}));const Mee=(e,t={message:`Input not instance of ${e.name}`})=>tN(n=>n instanceof e,t),nN=to.create,rN=Ga.create,Nee=xy.create,Dee=Ha.create,iN=Gh.create,Lee=su.create,$ee=_y.create,Fee=Hh.create,Bee=Wh.create,zee=hd.create,Uee=Yl.create,jee=$s.create,Vee=by.create,Gee=so.create,Hee=Vt.create,Wee=Vt.strictCreate,qee=qh.create,Kee=c1.create,Xee=Kh.create,Yee=qo.create,Zee=Xh.create,Qee=Sy.create,Jee=au.create,ete=Vc.create,tte=Yh.create,nte=Zh.create,rte=Wa.create,ite=Qh.create,ote=pd.create,Y6=fo.create,ste=Ts.create,ate=lu.create,lte=fo.createWithPreprocess,ute=rg.create,cte=()=>nN().optional(),dte=()=>rN().optional(),fte=()=>iN().optional(),hte={string:e=>to.create({...e,coerce:!0}),number:e=>Ga.create({...e,coerce:!0}),boolean:e=>Gh.create({...e,coerce:!0}),bigint:e=>Ha.create({...e,coerce:!0}),date:e=>su.create({...e,coerce:!0})},pte=ke;var j=Object.freeze({__proto__:null,defaultErrorMap:jh,setErrorMap:vee,getErrorMap:my,makeIssue:yy,EMPTY_PATH:_ee,addIssueToContext:fe,ParseStatus:pr,INVALID:ke,DIRTY:Q7,OK:kr,isAborted:cx,isDirty:dx,isValid:Vh,isAsync:vy,get util(){return Ze},get objectUtil(){return ux},ZodParsedType:ue,getParsedType:fa,ZodType:Ie,ZodString:to,ZodNumber:Ga,ZodBigInt:Ha,ZodBoolean:Gh,ZodDate:su,ZodSymbol:_y,ZodUndefined:Hh,ZodNull:Wh,ZodAny:hd,ZodUnknown:Yl,ZodNever:$s,ZodVoid:by,ZodArray:so,ZodObject:Vt,ZodUnion:qh,ZodDiscriminatedUnion:c1,ZodIntersection:Kh,ZodTuple:qo,ZodRecord:Xh,ZodMap:Sy,ZodSet:au,ZodFunction:Vc,ZodLazy:Yh,ZodLiteral:Zh,ZodEnum:Wa,ZodNativeEnum:Qh,ZodPromise:pd,ZodEffects:fo,ZodTransformer:fo,ZodOptional:Ts,ZodNullable:lu,ZodDefault:Jh,ZodCatch:wy,ZodNaN:xy,BRAND:Ree,ZodBranded:eN,ZodPipeline:rg,ZodReadonly:Cy,custom:tN,Schema:Ie,ZodSchema:Ie,late:Iee,get ZodFirstPartyTypeKind(){return Ee},coerce:hte,any:zee,array:Gee,bigint:Dee,boolean:iN,date:Lee,discriminatedUnion:Kee,effect:Y6,enum:rte,function:ete,instanceof:Mee,intersection:Xee,lazy:tte,literal:nte,map:Qee,nan:Nee,nativeEnum:ite,never:jee,null:Bee,nullable:ate,number:rN,object:Hee,oboolean:fte,onumber:dte,optional:ste,ostring:cte,pipeline:ute,preprocess:lte,promise:ote,record:Zee,set:Jee,strictObject:Wee,string:nN,symbol:$ee,transformer:Y6,tuple:Yee,undefined:Fee,union:qee,unknown:Uee,void:Vee,NEVER:pte,ZodIssueCode:te,quotelessJson:yee,ZodError:oo});const gte=j.string(),kAe=e=>gte.safeParse(e).success,mte=j.string(),PAe=e=>mte.safeParse(e).success,yte=j.string(),OAe=e=>yte.safeParse(e).success,vte=j.string(),RAe=e=>vte.safeParse(e).success,_te=j.number().int().min(1),IAe=e=>_te.safeParse(e).success,bte=j.number().min(1),MAe=e=>bte.safeParse(e).success,oN=j.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),NAe=e=>oN.safeParse(e).success,DAe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},Ste=j.number().int().min(0).max(mee),LAe=e=>Ste.safeParse(e).success,wte=j.number().multipleOf(8).min(64),$Ae=e=>wte.safeParse(e).success,xte=j.number().multipleOf(8).min(64),FAe=e=>xte.safeParse(e).success,$d=j.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),p5=j.object({model_name:j.string().min(1),base_model:$d,model_type:j.literal("main")}),BAe=e=>p5.safeParse(e).success,g5=j.object({model_name:j.string().min(1),base_model:j.literal("sdxl-refiner"),model_type:j.literal("main")}),zAe=e=>g5.safeParse(e).success,Cte=j.object({model_name:j.string().min(1),base_model:$d,model_type:j.literal("onnx")}),Fd=j.union([p5,Cte]),Ete=j.object({model_name:j.string().min(1),base_model:$d}),UAe=j.object({model_name:j.string().min(1),base_model:$d}),jAe=j.object({model_name:j.string().min(1),base_model:$d}),Tte=j.number().min(0).max(1),VAe=e=>Tte.safeParse(e).success;j.enum(["fp16","fp32"]);const Ate=j.number().min(1).max(10),GAe=e=>Ate.safeParse(e).success,kte=j.number().min(1).max(10),HAe=e=>kte.safeParse(e).success,Pte=j.number().min(0).max(1),WAe=e=>Pte.safeParse(e).success;j.enum(["box","gaussian"]);const po={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,tileSize:32,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},Ote=po,sN=Ht({name:"generation",initialState:Ote,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=ya(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=ya(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...po}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 0},setMaskBlur:(e,t)=>{e.maskBlur=t.payload},setMaskBlurMethod:(e,t)=>{e.maskBlurMethod=t.payload},setCanvasCoherenceSteps:(e,t)=>{e.canvasCoherenceSteps=t.payload},setCanvasCoherenceStrength:(e,t)=>{e.canvasCoherenceStrength=t.payload},setTileSize:(e,t)=>{e.tileSize=t.payload},setInfillMethod:(e,t)=>{e.infillMethod=t.payload},setShouldUseSymmetry:(e,t)=>{e.shouldUseSymmetry=t.payload},setHorizontalSymmetrySteps:(e,t)=>{e.horizontalSymmetrySteps=t.payload},setVerticalSymmetrySteps:(e,t)=>{e.verticalSymmetrySteps=t.payload},setShouldUseNoiseSettings:(e,t)=>{e.shouldUseNoiseSettings=t.payload},initialImageChanged:(e,t)=>{const{image_name:n,width:r,height:i}=t.payload;e.initialImage={imageName:n,width:r,height:i}},modelChanged:(e,t)=>{if(e.model=t.payload,e.model===null)return;const{maxClip:n}=gee[e.model.base_model];e.clipSkip=ya(e.clipSkip,0,n)},vaeSelected:(e,t)=>{e.vae=t.payload},vaePrecisionChanged:(e,t)=>{e.vaePrecision=t.payload},setClipSkip:(e,t)=>{e.clipSkip=t.payload},shouldUseCpuNoiseChanged:(e,t)=>{e.shouldUseCpuNoise=t.payload},setShouldShowAdvancedOptions:(e,t)=>{e.shouldShowAdvancedOptions=t.payload,t.payload||(e.clipSkip=0)},setAspectRatio:(e,t)=>{const 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t=e.futureLayerStates.shift();t&&(e.pastLayerStates.push(Jt(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState=t)},setShouldShowGrid:(e,t)=>{e.shouldShowGrid=t.payload},setIsMovingStage:(e,t)=>{e.isMovingStage=t.payload},setShouldSnapToGrid:(e,t)=>{e.shouldSnapToGrid=t.payload},setShouldAutoSave:(e,t)=>{e.shouldAutoSave=t.payload},setShouldShowIntermediates:(e,t)=>{e.shouldShowIntermediates=t.payload},resetCanvas:e=>{e.pastLayerStates.push(Jt(e.layerState)),e.layerState=ac,e.futureLayerStates=[]},canvasResized:(e,t)=>{const{width:n,height:r}=t.payload,i={width:Math.floor(n),height:Math.floor(r)};if(e.stageDimensions=i,!e.layerState.objects.find(Zte)){const o=am(i.width,i.height,512,512,lm),s=sm(i.width,i.height,0,0,512,512,o),a={width:512,height:512};if(e.stageScale=o,e.stageCoordinates=s,e.boundingBoxCoordinates={x:0,y:0},e.boundingBoxDimensions=a,e.boundingBoxScaleMethod==="auto"){const l=Gu(a);e.scaledBoundingBoxDimensions=l}}},resetCanvasView:(e,t)=>{const{contentRect:n,shouldScaleTo1:r}=t.payload,{stageDimensions:{width:i,height:o}}=e,{x:s,y:a,width:l,height:u}=n;if(l!==0&&u!==0){const c=r?1:am(i,o,l,u,lm),d=sm(i,o,s,a,l,u,c);e.stageScale=c,e.stageCoordinates=d}else{const c=am(i,o,512,512,lm),d=sm(i,o,0,0,512,512,c),f={width:512,height:512};if(e.stageScale=c,e.stageCoordinates=d,e.boundingBoxCoordinates={x:0,y:0},e.boundingBoxDimensions=f,e.boundingBoxScaleMethod==="auto"){const h=Gu(f);e.scaledBoundingBoxDimensions=h}}},nextStagingAreaImage:e=>{if(!e.layerState.stagingArea.images.length)return;const t=e.layerState.stagingArea.selectedImageIndex,n=e.layerState.stagingArea.images.length;e.layerState.stagingArea.selectedImageIndex=Math.min(t+1,n-1)},prevStagingAreaImage:e=>{if(!e.layerState.stagingArea.images.length)return;const t=e.layerState.stagingArea.selectedImageIndex;e.layerState.stagingArea.selectedImageIndex=Math.max(t-1,0)},commitStagingAreaImage:(e,t)=>{if(!e.layerState.stagingArea.images.length)return;const{images:n,selectedImageIndex:r}=e.layerState.stagingArea;e.pastLayerStates.push(Jt(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift();const i=n[r];i&&e.layerState.objects.push({...i}),e.layerState.stagingArea={...ac.stagingArea},e.futureLayerStates=[],e.shouldShowStagingOutline=!0,e.shouldShowStagingImage=!0},fitBoundingBoxToStage:e=>{const{boundingBoxDimensions:t,boundingBoxCoordinates:n,stageDimensions:r,stageScale:i}=e,o=r.width/i,s=r.height/i;if(n.x<0||n.x+t.width>o||n.y<0||n.y+t.height>s){const a={width:nm(ya(o,64,512),64),height:nm(ya(s,64,512),64)},l={x:Po(o/2-a.width/2,64),y:Po(s/2-a.height/2,64)};if(e.boundingBoxDimensions=a,e.boundingBoxCoordinates=l,e.boundingBoxScaleMethod==="auto"){const u=Gu(a);e.scaledBoundingBoxDimensions=u}}},setBoundingBoxScaleMethod:(e,t)=>{if(e.boundingBoxScaleMethod=t.payload,t.payload==="auto"){const n=Gu(e.boundingBoxDimensions);e.scaledBoundingBoxDimensions=n}},setScaledBoundingBoxDimensions:(e,t)=>{e.scaledBoundingBoxDimensions=t.payload},setShouldShowStagingImage:(e,t)=>{e.shouldShowStagingImage=t.payload},setShouldShowStagingOutline:(e,t)=>{e.shouldShowStagingOutline=t.payload},setShouldShowCanvasDebugInfo:(e,t)=>{e.shouldShowCanvasDebugInfo=t.payload},setShouldRestrictStrokesToBox:(e,t)=>{e.shouldRestrictStrokesToBox=t.payload},setShouldAntialias:(e,t)=>{e.shouldAntialias=t.payload},setShouldCropToBoundingBoxOnSave:(e,t)=>{e.shouldCropToBoundingBoxOnSave=t.payload},setColorPickerColor:(e,t)=>{e.colorPickerColor=t.payload},commitColorPickerColor:e=>{e.brushColor={...e.colorPickerColor,a:e.brushColor.a},e.tool="brush"},setMergedCanvas:(e,t)=>{e.pastLayerStates.push(Jt(e.layerState)),e.futureLayerStates=[],e.layerState.objects=[t.payload]},resetCanvasInteractionState:e=>{e.cursorPosition=null,e.isDrawing=!1,e.isMouseOverBoundingBox=!1,e.isMoveBoundingBoxKeyHeld=!1,e.isMoveStageKeyHeld=!1,e.isMovingBoundingBox=!1,e.isMovingStage=!1,e.isTransformingBoundingBox=!1},mouseLeftCanvas:e=>{e.cursorPosition=null,e.isDrawing=!1,e.isMouseOverBoundingBox=!1,e.isMovingBoundingBox=!1,e.isTransformingBoundingBox=!1}},extraReducers:e=>{e.addCase(al.pending,t=>{t.layerState.stagingArea.images.length||(t.layerState.stagingArea=ac.stagingArea)}),e.addCase(Mte,(t,n)=>{const r=n.payload;r&&(t.boundingBoxDimensions.height=Po(t.boundingBoxDimensions.width/r,64))})}}),{addEraseRect:$ke,addFillRect:Fke,addImageToStagingArea:Jte,addLine:Bke,addPointToCurrentLine:zke,clearCanvasHistory:Uke,clearMask:jke,commitColorPickerColor:Vke,commitStagingAreaImage:ene,discardStagedImages:Gke,fitBoundingBoxToStage:Hke,mouseLeftCanvas:Wke,nextStagingAreaImage:qke,prevStagingAreaImage:Kke,redo:Xke,resetCanvas:y5,resetCanvasInteractionState:Yke,resetCanvasView:Zke,setBoundingBoxCoordinates:Qke,setBoundingBoxDimensions:J6,setBoundingBoxPreviewFill:Jke,setBoundingBoxScaleMethod:e8e,flipBoundingBoxAxes:t8e,setBrushColor:n8e,setBrushSize:r8e,setColorPickerColor:i8e,setCursorPosition:o8e,setInitialCanvasImage:fN,setIsDrawing:s8e,setIsMaskEnabled:a8e,setIsMouseOverBoundingBox:l8e,setIsMoveBoundingBoxKeyHeld:u8e,setIsMoveStageKeyHeld:c8e,setIsMovingBoundingBox:d8e,setIsMovingStage:f8e,setIsTransformingBoundingBox:h8e,setLayer:p8e,setMaskColor:g8e,setMergedCanvas:tne,setShouldAutoSave:m8e,setShouldCropToBoundingBoxOnSave:y8e,setShouldDarkenOutsideBoundingBox:v8e,setShouldLockBoundingBox:_8e,setShouldPreserveMaskedArea:b8e,setShouldShowBoundingBox:S8e,setShouldShowBrush:w8e,setShouldShowBrushPreview:x8e,setShouldShowCanvasDebugInfo:C8e,setShouldShowCheckboardTransparency:E8e,setShouldShowGrid:T8e,setShouldShowIntermediates:A8e,setShouldShowStagingImage:k8e,setShouldShowStagingOutline:P8e,setShouldSnapToGrid:O8e,setStageCoordinates:R8e,setStageScale:I8e,setTool:M8e,toggleShouldLockBoundingBox:N8e,toggleTool:D8e,undo:L8e,setScaledBoundingBoxDimensions:$8e,setShouldRestrictStrokesToBox:F8e,stagingAreaInitialized:nne,canvasSessionIdChanged:rne,setShouldAntialias:B8e,canvasResized:z8e}=dN.actions,ine=dN.reducer,one={isModalOpen:!1,imagesToChange:[]},hN=Ht({name:"changeBoardModal",initialState:one,reducers:{isModalOpenChanged:(e,t)=>{e.isModalOpen=t.payload},imagesToChangeSelected:(e,t)=>{e.imagesToChange=t.payload},changeBoardReset:e=>{e.imagesToChange=[],e.isModalOpen=!1}}}),{isModalOpenChanged:U8e,imagesToChangeSelected:j8e,changeBoardReset:V8e}=hN.actions,sne=hN.reducer,Pn=["general"],_a=["control","mask","user","other"],ane=100,um=20;/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const lne=4,eA=0,tA=1,une=2;function zd(e){let t=e.length;for(;--t>=0;)e[t]=0}const cne=0,pN=1,dne=2,fne=3,hne=258,v5=29,og=256,np=og+1+v5,Gc=30,_5=19,gN=2*np+1,Bl=15,IS=16,pne=7,b5=256,mN=16,yN=17,vN=18,hx=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),h0=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),gne=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),_N=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),mne=512,ys=new Array((np+2)*2);zd(ys);const rh=new Array(Gc*2);zd(rh);const rp=new Array(mne);zd(rp);const ip=new Array(hne-fne+1);zd(ip);const S5=new Array(v5);zd(S5);const Ty=new Array(Gc);zd(Ty);function MS(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let bN,SN,wN;function NS(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}const xN=e=>e<256?rp[e]:rp[256+(e>>>7)],op=(e,t)=>{e.pending_buf[e.pending++]=t&255,e.pending_buf[e.pending++]=t>>>8&255},Br=(e,t,n)=>{e.bi_valid>IS-n?(e.bi_buf|=t<<e.bi_valid&65535,op(e,e.bi_buf),e.bi_buf=t>>IS-e.bi_valid,e.bi_valid+=n-IS):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=n)},Oo=(e,t,n)=>{Br(e,n[t*2],n[t*2+1])},CN=(e,t)=>{let n=0;do n|=e&1,e>>>=1,n<<=1;while(--t>0);return n>>>1},yne=e=>{e.bi_valid===16?(op(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):e.bi_valid>=8&&(e.pending_buf[e.pending++]=e.bi_buf&255,e.bi_buf>>=8,e.bi_valid-=8)},vne=(e,t)=>{const n=t.dyn_tree,r=t.max_code,i=t.stat_desc.static_tree,o=t.stat_desc.has_stree,s=t.stat_desc.extra_bits,a=t.stat_desc.extra_base,l=t.stat_desc.max_length;let u,c,d,f,h,p,m=0;for(f=0;f<=Bl;f++)e.bl_count[f]=0;for(n[e.heap[e.heap_max]*2+1]=0,u=e.heap_max+1;u<gN;u++)c=e.heap[u],f=n[n[c*2+1]*2+1]+1,f>l&&(f=l,m++),n[c*2+1]=f,!(c>r)&&(e.bl_count[f]++,h=0,c>=a&&(h=s[c-a]),p=n[c*2],e.opt_len+=p*(f+h),o&&(e.static_len+=p*(i[c*2+1]+h)));if(m!==0){do{for(f=l-1;e.bl_count[f]===0;)f--;e.bl_count[f]--,e.bl_count[f+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(f=l;f!==0;f--)for(c=e.bl_count[f];c!==0;)d=e.heap[--u],!(d>r)&&(n[d*2+1]!==f&&(e.opt_len+=(f-n[d*2+1])*n[d*2],n[d*2+1]=f),c--)}},EN=(e,t,n)=>{const r=new Array(Bl+1);let i=0,o,s;for(o=1;o<=Bl;o++)i=i+n[o-1]<<1,r[o]=i;for(s=0;s<=t;s++){let a=e[s*2+1];a!==0&&(e[s*2]=CN(r[a]++,a))}},_ne=()=>{let e,t,n,r,i;const o=new Array(Bl+1);for(n=0,r=0;r<v5-1;r++)for(S5[r]=n,e=0;e<1<<hx[r];e++)ip[n++]=r;for(ip[n-1]=r,i=0,r=0;r<16;r++)for(Ty[r]=i,e=0;e<1<<h0[r];e++)rp[i++]=r;for(i>>=7;r<Gc;r++)for(Ty[r]=i<<7,e=0;e<1<<h0[r]-7;e++)rp[256+i++]=r;for(t=0;t<=Bl;t++)o[t]=0;for(e=0;e<=143;)ys[e*2+1]=8,e++,o[8]++;for(;e<=255;)ys[e*2+1]=9,e++,o[9]++;for(;e<=279;)ys[e*2+1]=7,e++,o[7]++;for(;e<=287;)ys[e*2+1]=8,e++,o[8]++;for(EN(ys,np+1,o),e=0;e<Gc;e++)rh[e*2+1]=5,rh[e*2]=CN(e,5);bN=new MS(ys,hx,og+1,np,Bl),SN=new MS(rh,h0,0,Gc,Bl),wN=new MS(new Array(0),gne,0,_5,pne)},TN=e=>{let t;for(t=0;t<np;t++)e.dyn_ltree[t*2]=0;for(t=0;t<Gc;t++)e.dyn_dtree[t*2]=0;for(t=0;t<_5;t++)e.bl_tree[t*2]=0;e.dyn_ltree[b5*2]=1,e.opt_len=e.static_len=0,e.sym_next=e.matches=0},AN=e=>{e.bi_valid>8?op(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},nA=(e,t,n,r)=>{const i=t*2,o=n*2;return e[i]<e[o]||e[i]===e[o]&&r[t]<=r[n]},DS=(e,t,n)=>{const r=e.heap[n];let i=n<<1;for(;i<=e.heap_len&&(i<e.heap_len&&nA(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!nA(t,r,e.heap[i],e.depth));)e.heap[n]=e.heap[i],n=i,i<<=1;e.heap[n]=r},rA=(e,t,n)=>{let r,i,o=0,s,a;if(e.sym_next!==0)do r=e.pending_buf[e.sym_buf+o++]&255,r+=(e.pending_buf[e.sym_buf+o++]&255)<<8,i=e.pending_buf[e.sym_buf+o++],r===0?Oo(e,i,t):(s=ip[i],Oo(e,s+og+1,t),a=hx[s],a!==0&&(i-=S5[s],Br(e,i,a)),r--,s=xN(r),Oo(e,s,n),a=h0[s],a!==0&&(r-=Ty[s],Br(e,r,a)));while(o<e.sym_next);Oo(e,b5,t)},px=(e,t)=>{const n=t.dyn_tree,r=t.stat_desc.static_tree,i=t.stat_desc.has_stree,o=t.stat_desc.elems;let s,a,l=-1,u;for(e.heap_len=0,e.heap_max=gN,s=0;s<o;s++)n[s*2]!==0?(e.heap[++e.heap_len]=l=s,e.depth[s]=0):n[s*2+1]=0;for(;e.heap_len<2;)u=e.heap[++e.heap_len]=l<2?++l:0,n[u*2]=1,e.depth[u]=0,e.opt_len--,i&&(e.static_len-=r[u*2+1]);for(t.max_code=l,s=e.heap_len>>1;s>=1;s--)DS(e,n,s);u=o;do s=e.heap[1],e.heap[1]=e.heap[e.heap_len--],DS(e,n,1),a=e.heap[1],e.heap[--e.heap_max]=s,e.heap[--e.heap_max]=a,n[u*2]=n[s*2]+n[a*2],e.depth[u]=(e.depth[s]>=e.depth[a]?e.depth[s]:e.depth[a])+1,n[s*2+1]=n[a*2+1]=u,e.heap[1]=u++,DS(e,n,1);while(e.heap_len>=2);e.heap[--e.heap_max]=e.heap[1],vne(e,t),EN(n,l,e.bl_count)},iA=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),t[(n+1)*2+1]=65535,r=0;r<=n;r++)o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)&&(a<u?e.bl_tree[o*2]+=a:o!==0?(o!==i&&e.bl_tree[o*2]++,e.bl_tree[mN*2]++):a<=10?e.bl_tree[yN*2]++:e.bl_tree[vN*2]++,a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4))},oA=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),r=0;r<=n;r++)if(o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)){if(a<u)do Oo(e,o,e.bl_tree);while(--a!==0);else o!==0?(o!==i&&(Oo(e,o,e.bl_tree),a--),Oo(e,mN,e.bl_tree),Br(e,a-3,2)):a<=10?(Oo(e,yN,e.bl_tree),Br(e,a-3,3)):(Oo(e,vN,e.bl_tree),Br(e,a-11,7));a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4)}},bne=e=>{let t;for(iA(e,e.dyn_ltree,e.l_desc.max_code),iA(e,e.dyn_dtree,e.d_desc.max_code),px(e,e.bl_desc),t=_5-1;t>=3&&e.bl_tree[_N[t]*2+1]===0;t--);return e.opt_len+=3*(t+1)+5+5+4,t},Sne=(e,t,n,r)=>{let i;for(Br(e,t-257,5),Br(e,n-1,5),Br(e,r-4,4),i=0;i<r;i++)Br(e,e.bl_tree[_N[i]*2+1],3);oA(e,e.dyn_ltree,t-1),oA(e,e.dyn_dtree,n-1)},wne=e=>{let t=4093624447,n;for(n=0;n<=31;n++,t>>>=1)if(t&1&&e.dyn_ltree[n*2]!==0)return eA;if(e.dyn_ltree[9*2]!==0||e.dyn_ltree[10*2]!==0||e.dyn_ltree[13*2]!==0)return tA;for(n=32;n<og;n++)if(e.dyn_ltree[n*2]!==0)return tA;return eA};let sA=!1;const xne=e=>{sA||(_ne(),sA=!0),e.l_desc=new NS(e.dyn_ltree,bN),e.d_desc=new NS(e.dyn_dtree,SN),e.bl_desc=new NS(e.bl_tree,wN),e.bi_buf=0,e.bi_valid=0,TN(e)},kN=(e,t,n,r)=>{Br(e,(cne<<1)+(r?1:0),3),AN(e),op(e,n),op(e,~n),n&&e.pending_buf.set(e.window.subarray(t,t+n),e.pending),e.pending+=n},Cne=e=>{Br(e,pN<<1,3),Oo(e,b5,ys),yne(e)},Ene=(e,t,n,r)=>{let i,o,s=0;e.level>0?(e.strm.data_type===une&&(e.strm.data_type=wne(e)),px(e,e.l_desc),px(e,e.d_desc),s=bne(e),i=e.opt_len+3+7>>>3,o=e.static_len+3+7>>>3,o<=i&&(i=o)):i=o=n+5,n+4<=i&&t!==-1?kN(e,t,n,r):e.strategy===lne||o===i?(Br(e,(pN<<1)+(r?1:0),3),rA(e,ys,rh)):(Br(e,(dne<<1)+(r?1:0),3),Sne(e,e.l_desc.max_code+1,e.d_desc.max_code+1,s+1),rA(e,e.dyn_ltree,e.dyn_dtree)),TN(e),r&&AN(e)},Tne=(e,t,n)=>(e.pending_buf[e.sym_buf+e.sym_next++]=t,e.pending_buf[e.sym_buf+e.sym_next++]=t>>8,e.pending_buf[e.sym_buf+e.sym_next++]=n,t===0?e.dyn_ltree[n*2]++:(e.matches++,t--,e.dyn_ltree[(ip[n]+og+1)*2]++,e.dyn_dtree[xN(t)*2]++),e.sym_next===e.sym_end);var Ane=xne,kne=kN,Pne=Ene,One=Tne,Rne=Cne,Ine={_tr_init:Ane,_tr_stored_block:kne,_tr_flush_block:Pne,_tr_tally:One,_tr_align:Rne};const Mne=(e,t,n,r)=>{let i=e&65535|0,o=e>>>16&65535|0,s=0;for(;n!==0;){s=n>2e3?2e3:n,n-=s;do i=i+t[r++]|0,o=o+i|0;while(--s);i%=65521,o%=65521}return i|o<<16|0};var sp=Mne;const Nne=()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},Dne=new Uint32Array(Nne()),Lne=(e,t,n,r)=>{const i=Dne,o=r+n;e^=-1;for(let s=r;s<o;s++)e=e>>>8^i[(e^t[s])&255];return e^-1};var Rn=Lne,gd={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"},sg={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:$ne,_tr_stored_block:gx,_tr_flush_block:Fne,_tr_tally:Ia,_tr_align:Bne}=Ine,{Z_NO_FLUSH:Ma,Z_PARTIAL_FLUSH:zne,Z_FULL_FLUSH:Une,Z_FINISH:Ei,Z_BLOCK:aA,Z_OK:Xn,Z_STREAM_END:lA,Z_STREAM_ERROR:zo,Z_DATA_ERROR:jne,Z_BUF_ERROR:LS,Z_DEFAULT_COMPRESSION:Vne,Z_FILTERED:Gne,Z_HUFFMAN_ONLY:cm,Z_RLE:Hne,Z_FIXED:Wne,Z_DEFAULT_STRATEGY:qne,Z_UNKNOWN:Kne,Z_DEFLATED:h1}=sg,Xne=9,Yne=15,Zne=8,Qne=29,Jne=256,mx=Jne+1+Qne,ere=30,tre=19,nre=2*mx+1,rre=15,He=3,ba=258,Uo=ba+He+1,ire=32,md=42,w5=57,yx=69,vx=73,_x=91,bx=103,zl=113,$f=666,xr=1,Ud=2,uu=3,jd=4,ore=3,Ul=(e,t)=>(e.msg=gd[t],t),uA=e=>e*2-(e>4?9:0),ha=e=>{let t=e.length;for(;--t>=0;)e[t]=0},sre=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let are=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask,Na=are;const Yr=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},ni=(e,t)=>{Fne(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,Yr(e.strm)},et=(e,t)=>{e.pending_buf[e.pending++]=t},gf=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},Sx=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=sp(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Rn(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},PN=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-Uo?e.strstart-(e.w_size-Uo):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+ba;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&r<f);if(o=ba-(f-r),r=f-ba,o>s){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},yd=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-Uo)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),sre(e),r+=t),e.strm.avail_in===0)break;if(n=Sx(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=He)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=Na(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=Na(e,e.ins_h,e.window[i+He-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<He)););}while(e.lookahead<Uo&&e.strm.avail_in!==0)},ON=(e,t)=>{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_out<o||(o=e.strm.avail_out-o,i=e.strstart-e.block_start,r>i+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r<n&&(r===0&&t!==Ei||t===Ma||r!==i+e.strm.avail_in)))break;s=t===Ei&&r===i+e.strm.avail_in?1:0,gx(e,0,0,s),e.pending_buf[e.pending-4]=r,e.pending_buf[e.pending-3]=r>>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,Yr(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(Sx(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),s?jd:t!==Ma&&t!==Ei&&e.strm.avail_in===0&&e.strstart===e.block_start?Ud:(o=e.window_size-e.strstart,e.strm.avail_in>o&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(Sx(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water<e.strstart&&(e.high_water=e.strstart),o=e.bi_valid+42>>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Ei)&&t!==Ma&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Ei&&e.strm.avail_in===0&&r===i?1:0,gx(e,e.block_start,r,s),e.block_start+=r,Yr(e.strm)),s?uu:xr)},$S=(e,t)=>{let n,r;for(;;){if(e.lookahead<Uo){if(yd(e),e.lookahead<Uo&&t===Ma)return xr;if(e.lookahead===0)break}if(n=0,e.lookahead>=He&&(e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-Uo&&(e.match_length=PN(e,n)),e.match_length>=He)if(r=Ia(e,e.strstart-e.match_start,e.match_length-He),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=He){e.match_length--;do e.strstart++,e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=Na(e,e.ins_h,e.window[e.strstart+1]);else r=Ia(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(ni(e,!1),e.strm.avail_out===0))return xr}return e.insert=e.strstart<He-1?e.strstart:He-1,t===Ei?(ni(e,!0),e.strm.avail_out===0?uu:jd):e.sym_next&&(ni(e,!1),e.strm.avail_out===0)?xr:Ud},Hu=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<Uo){if(yd(e),e.lookahead<Uo&&t===Ma)return xr;if(e.lookahead===0)break}if(n=0,e.lookahead>=He&&(e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=He-1,n!==0&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-Uo&&(e.match_length=PN(e,n),e.match_length<=5&&(e.strategy===Gne||e.match_length===He&&e.strstart-e.match_start>4096)&&(e.match_length=He-1)),e.prev_length>=He&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-He,r=Ia(e,e.strstart-1-e.prev_match,e.prev_length-He),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=He-1,e.strstart++,r&&(ni(e,!1),e.strm.avail_out===0))return xr}else if(e.match_available){if(r=Ia(e,0,e.window[e.strstart-1]),r&&ni(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return xr}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=Ia(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<He-1?e.strstart:He-1,t===Ei?(ni(e,!0),e.strm.avail_out===0?uu:jd):e.sym_next&&(ni(e,!1),e.strm.avail_out===0)?xr:Ud},lre=(e,t)=>{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=ba){if(yd(e),e.lookahead<=ba&&t===Ma)return xr;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=He&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+ba;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&i<o);e.match_length=ba-(o-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=He?(n=Ia(e,1,e.match_length-He),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=Ia(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(ni(e,!1),e.strm.avail_out===0))return xr}return e.insert=0,t===Ei?(ni(e,!0),e.strm.avail_out===0?uu:jd):e.sym_next&&(ni(e,!1),e.strm.avail_out===0)?xr:Ud},ure=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(yd(e),e.lookahead===0)){if(t===Ma)return xr;break}if(e.match_length=0,n=Ia(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(ni(e,!1),e.strm.avail_out===0))return xr}return e.insert=0,t===Ei?(ni(e,!0),e.strm.avail_out===0?uu:jd):e.sym_next&&(ni(e,!1),e.strm.avail_out===0)?xr:Ud};function bo(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const Ff=[new bo(0,0,0,0,ON),new bo(4,4,8,4,$S),new bo(4,5,16,8,$S),new bo(4,6,32,32,$S),new bo(4,4,16,16,Hu),new bo(8,16,32,32,Hu),new bo(8,16,128,128,Hu),new bo(8,32,128,256,Hu),new bo(32,128,258,1024,Hu),new bo(32,258,258,4096,Hu)],cre=e=>{e.window_size=2*e.w_size,ha(e.head),e.max_lazy_match=Ff[e.level].max_lazy,e.good_match=Ff[e.level].good_length,e.nice_match=Ff[e.level].nice_length,e.max_chain_length=Ff[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=He-1,e.match_available=0,e.ins_h=0};function dre(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=h1,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(nre*2),this.dyn_dtree=new Uint16Array((2*ere+1)*2),this.bl_tree=new Uint16Array((2*tre+1)*2),ha(this.dyn_ltree),ha(this.dyn_dtree),ha(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(rre+1),this.heap=new Uint16Array(2*mx+1),ha(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*mx+1),ha(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const ag=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==md&&t.status!==w5&&t.status!==yx&&t.status!==vx&&t.status!==_x&&t.status!==bx&&t.status!==zl&&t.status!==$f?1:0},RN=e=>{if(ag(e))return Ul(e,zo);e.total_in=e.total_out=0,e.data_type=Kne;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?w5:t.wrap?md:zl,e.adler=t.wrap===2?0:1,t.last_flush=-2,$ne(t),Xn},IN=e=>{const t=RN(e);return t===Xn&&cre(e.state),t},fre=(e,t)=>ag(e)||e.state.wrap!==2?zo:(e.state.gzhead=t,Xn),MN=(e,t,n,r,i,o)=>{if(!e)return zo;let s=1;if(t===Vne&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>Xne||n!==h1||r<8||r>15||t<0||t>9||o<0||o>Wne||r===8&&s!==1)return Ul(e,zo);r===8&&(r=9);const a=new dre;return e.state=a,a.strm=e,a.status=md,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<<a.w_bits,a.w_mask=a.w_size-1,a.hash_bits=i+7,a.hash_size=1<<a.hash_bits,a.hash_mask=a.hash_size-1,a.hash_shift=~~((a.hash_bits+He-1)/He),a.window=new Uint8Array(a.w_size*2),a.head=new Uint16Array(a.hash_size),a.prev=new Uint16Array(a.w_size),a.lit_bufsize=1<<i+6,a.pending_buf_size=a.lit_bufsize*4,a.pending_buf=new Uint8Array(a.pending_buf_size),a.sym_buf=a.lit_bufsize,a.sym_end=(a.lit_bufsize-1)*3,a.level=t,a.strategy=o,a.method=n,IN(e)},hre=(e,t)=>MN(e,t,h1,Yne,Zne,qne),pre=(e,t)=>{if(ag(e)||t>aA||t<0)return e?Ul(e,zo):zo;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===$f&&t!==Ei)return Ul(e,e.avail_out===0?LS:zo);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(Yr(e),e.avail_out===0)return n.last_flush=-1,Xn}else if(e.avail_in===0&&uA(t)<=uA(r)&&t!==Ei)return Ul(e,LS);if(n.status===$f&&e.avail_in!==0)return Ul(e,LS);if(n.status===md&&n.wrap===0&&(n.status=zl),n.status===md){let i=h1+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=cm||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=ire),i+=31-i%31,gf(n,i),n.strstart!==0&&(gf(n,e.adler>>>16),gf(n,e.adler&65535)),e.adler=1,n.status=zl,Yr(e),n.pending!==0)return n.last_flush=-1,Xn}if(n.status===w5){if(e.adler=0,et(n,31),et(n,139),et(n,8),n.gzhead)et(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),et(n,n.gzhead.time&255),et(n,n.gzhead.time>>8&255),et(n,n.gzhead.time>>16&255),et(n,n.gzhead.time>>24&255),et(n,n.level===9?2:n.strategy>=cm||n.level<2?4:0),et(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(et(n,n.gzhead.extra.length&255),et(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Rn(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=yx;else 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n=ih.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==Ay)throw new Error(gd[n]);if(t.header&&ih.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=lp.string2buf(t.dictionary):LN.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=ih.deflateSetDictionary(this.strm,r),n!==Ay)throw new Error(gd[n]);this._dict_set=!0}}x5.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?$re:Nre,typeof e=="string"?n.input=lp.string2buf(e):LN.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===Dre||o===Lre)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=ih.deflate(n,o),i===Fre)return 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if(v&16){S=g&65535,v&=15,v&&(p<v&&(h+=A[r++]<<p,p+=8),S+=h&(1<<v)-1,h>>>=v,p-=v),p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=b[h&y];n:for(;;){if(v=g>>>24,h>>>=v,p-=v,v=g>>>16&255,v&16){if(w=g&65535,v&=15,p<v&&(h+=A[r++]<<p,p+=8,p<v&&(h+=A[r++]<<p,p+=8)),w+=h&(1<<v)-1,w>l){t.msg="invalid distance too far back",P.mode=dm;break e}if(h>>>=v,p-=v,v=o-s,w>v){if(v=w-v,v>c&&P.sane){t.msg="invalid distance too far back",P.mode=dm;break e}if(C=0,x=f,d===0){if(C+=u-v,v<S){S-=v;do T[o++]=f[C++];while(--v);C=o-w,x=T}}else if(d<v){if(C+=u+d-v,v-=d,v<S){S-=v;do T[o++]=f[C++];while(--v);if(C=0,d<S){v=d,S-=v;do T[o++]=f[C++];while(--v);C=o-w,x=T}}}else if(C+=d-v,v<S){S-=v;do T[o++]=f[C++];while(--v);C=o-w,x=T}for(;S>2;)T[o++]=x[C++],T[o++]=x[C++],T[o++]=x[C++],S-=3;S&&(T[o++]=x[C++],S>1&&(T[o++]=x[C++]))}else{C=o-w;do T[o++]=T[C++],T[o++]=T[C++],T[o++]=T[C++],S-=3;while(S>2);S&&(T[o++]=T[C++],S>1&&(T[o++]=T[C++]))}}else if(v&64){t.msg="invalid distance code",P.mode=dm;break 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T=new Uint16Array(Wu+1),P=new Uint16Array(Wu+1);let L=null,R,E,k;for(u=0;u<=Wu;u++)T[u]=0;for(c=0;c<r;c++)T[t[n+c]]++;for(h=l,f=Wu;f>=1&&T[f]===0;f--);if(h>f&&(h=f),f===0)return i[o++]=1<<24|64<<16|0,i[o++]=1<<24|64<<16|0,a.bits=1,0;for(d=1;d<f&&T[d]===0;d++);for(h<d&&(h=d),b=1,u=1;u<=Wu;u++)if(b<<=1,b-=T[u],b<0)return-1;if(b>0&&(e===fA||f!==1))return-1;for(P[1]=0,u=1;u<Wu;u++)P[u+1]=P[u]+T[u];for(c=0;c<r;c++)t[n+c]!==0&&(s[P[t[n+c]]++]=c);if(e===fA?(x=L=s,A=20):e===FS?(x=Gre,L=Hre,A=257):(x=Wre,L=qre,A=0),y=0,c=0,u=d,C=o,p=h,m=0,S=-1,_=1<<h,w=_-1,e===FS&&_>cA||e===hA&&_>dA)return 1;for(;;){R=u-m,s[c]+1<A?(E=0,k=s[c]):s[c]>=A?(E=L[s[c]-A],k=x[s[c]-A]):(E=32+64,k=0),g=1<<u-m,v=1<<p,d=v;do v-=g,i[C+(y>>m)+v]=R<<24|E<<16|k|0;while(v!==0);for(g=1<<u-1;y&g;)g>>=1;if(g!==0?(y&=g-1,y+=g):y=0,c++,--T[u]===0){if(u===f)break;u=t[n+s[c]]}if(u>h&&(y&w)!==S){for(m===0&&(m=h),C+=d,p=u-m,b=1<<p;p+m<f&&(b-=T[p+m],!(b<=0));)p++,b<<=1;if(_+=1<<p,e===FS&&_>cA||e===hA&&_>dA)return 1;S=y&w,i[S]=h<<24|p<<16|C-o|0}}return y!==0&&(i[C+y]=u-m<<24|64<<16|0),a.bits=h,0};var oh=Kre;const Xre=0,$N=1,FN=2,{Z_FINISH:pA,Z_BLOCK:Yre,Z_TREES:fm,Z_OK:cu,Z_STREAM_END:Zre,Z_NEED_DICT:Qre,Z_STREAM_ERROR:Mi,Z_DATA_ERROR:BN,Z_MEM_ERROR:zN,Z_BUF_ERROR:Jre,Z_DEFLATED:gA}=sg,g1=16180,mA=16181,yA=16182,vA=16183,_A=16184,bA=16185,SA=16186,wA=16187,xA=16188,CA=16189,ky=16190,is=16191,BS=16192,EA=16193,zS=16194,TA=16195,AA=16196,kA=16197,PA=16198,hm=16199,pm=16200,OA=16201,RA=16202,IA=16203,MA=16204,NA=16205,US=16206,DA=16207,LA=16208,Dt=16209,UN=16210,jN=16211,eie=852,tie=592,nie=15,rie=nie,$A=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function iie(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Cu=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.mode<g1||t.mode>jN?1:0},VN=e=>{if(Cu(e))return Mi;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=g1,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(eie),t.distcode=t.distdyn=new Int32Array(tie),t.sane=1,t.back=-1,cu},GN=e=>{if(Cu(e))return Mi;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,VN(e)},HN=(e,t)=>{let n;if(Cu(e))return Mi;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?Mi:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,GN(e))},WN=(e,t)=>{if(!e)return Mi;const n=new iie;e.state=n,n.strm=e,n.window=null,n.mode=g1;const r=HN(e,t);return r!==cu&&(e.state=null),r},oie=e=>WN(e,rie);let FA=!0,jS,VS;const sie=e=>{if(FA){jS=new Int32Array(512),VS=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(oh($N,e.lens,0,288,jS,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;oh(FN,e.lens,0,32,VS,0,e.work,{bits:5}),FA=!1}e.lencode=jS,e.lenbits=9,e.distcode=VS,e.distbits=5},qN=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new Uint8Array(o.wsize)),r>=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=i))),0},aie=(e,t)=>{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,y,g,v,S,w,C,x;const A=new Uint8Array(4);let T,P;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Cu(e)||!e.output||!e.input&&e.avail_in!==0)return Mi;n=e.state,n.mode===is&&(n.mode=BS),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,x=cu;e:for(;;)switch(n.mode){case g1:if(n.wrap===0){n.mode=BS;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&2&&u===35615){n.wbits===0&&(n.wbits=15),n.check=0,A[0]=u&255,A[1]=u>>>8&255,n.check=Rn(n.check,A,2,0),u=0,c=0,n.mode=mA;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Dt;break}if((u&15)!==gA){e.msg="unknown compression method",n.mode=Dt;break}if(u>>>=4,c-=4,C=(u&15)+8,n.wbits===0&&(n.wbits=C),C>15||C>n.wbits){e.msg="invalid window size",n.mode=Dt;break}n.dmax=1<<n.wbits,n.flags=0,e.adler=n.check=1,n.mode=u&512?CA:is,u=0,c=0;break;case mA:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.flags=u,(n.flags&255)!==gA){e.msg="unknown compression method",n.mode=Dt;break}if(n.flags&57344){e.msg="unknown header flags set",n.mode=Dt;break}n.head&&(n.head.text=u>>8&1),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Rn(n.check,A,2,0)),u=0,c=0,n.mode=yA;case yA:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.time=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,A[2]=u>>>16&255,A[3]=u>>>24&255,n.check=Rn(n.check,A,4,0)),u=0,c=0,n.mode=vA;case vA:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.xflags=u&255,n.head.os=u>>8),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Rn(n.check,A,2,0)),u=0,c=0,n.mode=_A;case _A:if(n.flags&1024){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length=u,n.head&&(n.head.extra_len=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Rn(n.check,A,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=bA;case bA:if(n.flags&1024&&(h=n.length,h>a&&(h=a),h&&(n.head&&(C=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),C)),n.flags&512&&n.wrap&4&&(n.check=Rn(n.check,r,h,o)),a-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=SA;case SA:if(n.flags&2048){if(a===0)break e;h=0;do C=r[o+h++],n.head&&C&&n.length<65536&&(n.head.name+=String.fromCharCode(C));while(C&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Rn(n.check,r,h,o)),a-=h,o+=h,C)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=wA;case wA:if(n.flags&4096){if(a===0)break e;h=0;do C=r[o+h++],n.head&&C&&n.length<65536&&(n.head.comment+=String.fromCharCode(C));while(C&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Rn(n.check,r,h,o)),a-=h,o+=h,C)break e}else n.head&&(n.head.comment=null);n.mode=xA;case xA:if(n.flags&512){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.check&65535)){e.msg="header crc mismatch",n.mode=Dt;break}u=0,c=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=is;break;case CA:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}e.adler=n.check=$A(u),u=0,c=0,n.mode=ky;case ky:if(n.havedict===0)return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Qre;e.adler=n.check=1,n.mode=is;case is:if(t===Yre||t===fm)break e;case BS:if(n.last){u>>>=c&7,c-=c&7,n.mode=US;break}for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}switch(n.last=u&1,u>>>=1,c-=1,u&3){case 0:n.mode=EA;break;case 1:if(sie(n),n.mode=hm,t===fm){u>>>=2,c-=2;break e}break;case 2:n.mode=AA;break;case 3:e.msg="invalid block type",n.mode=Dt}u>>>=2,c-=2;break;case EA:for(u>>>=c&7,c-=c&7;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if((u&65535)!==(u>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Dt;break}if(n.length=u&65535,u=0,c=0,n.mode=zS,t===fm)break e;case zS:n.mode=TA;case TA:if(h=n.length,h){if(h>a&&(h=a),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),s),a-=h,o+=h,l-=h,s+=h,n.length-=h;break}n.mode=is;break;case AA:for(;c<14;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.nlen=(u&31)+257,u>>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Dt;break}n.have=0,n.mode=kA;case kA:for(;n.have<n.ncode;){for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.lens[L[n.have++]]=u&7,u>>>=3,c-=3}for(;n.have<19;)n.lens[L[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},x=oh(Xre,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,x){e.msg="invalid code lengths set",n.mode=Dt;break}n.have=0,n.mode=PA;case PA:for(;n.have<n.nlen+n.ndist;){for(;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(g<16)u>>>=_,c-=_,n.lens[n.have++]=g;else{if(g===16){for(P=_+2;c<P;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(u>>>=_,c-=_,n.have===0){e.msg="invalid bit length repeat",n.mode=Dt;break}C=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(P=_+3;c<P;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,C=0,h=3+(u&7),u>>>=3,c-=3}else{for(P=_+7;c<P;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,C=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Dt;break}for(;h--;)n.lens[n.have++]=C}}if(n.mode===Dt)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Dt;break}if(n.lenbits=9,T={bits:n.lenbits},x=oh($N,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,x){e.msg="invalid literal/lengths set",n.mode=Dt;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},x=oh(FN,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,x){e.msg="invalid distances set",n.mode=Dt;break}if(n.mode=hm,t===fm)break e;case hm:n.mode=pm;case pm:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Vre(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===is&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(y&&!(y&240)){for(v=_,S=y,w=g;b=n.lencode[w+((u&(1<<v+S)-1)>>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,n.length=g,y===0){n.mode=NA;break}if(y&32){n.back=-1,n.mode=is;break}if(y&64){e.msg="invalid literal/length code",n.mode=Dt;break}n.extra=y&15,n.mode=OA;case OA:if(n.extra){for(P=n.extra;c<P;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=RA;case RA:for(;b=n.distcode[u&(1<<n.distbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(!(y&240)){for(v=_,S=y,w=g;b=n.distcode[w+((u&(1<<v+S)-1)>>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,y&64){e.msg="invalid distance code",n.mode=Dt;break}n.offset=g,n.extra=y&15,n.mode=IA;case IA:if(n.extra){for(P=n.extra;c<P;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.offset+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Dt;break}n.mode=MA;case MA:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Dt;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=s-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[s++]=m[p++];while(--h);n.length===0&&(n.mode=pm);break;case NA:if(l===0)break e;i[s++]=n.length,l--,n.mode=pm;break;case US:if(n.wrap){for(;c<32;){if(a===0)break e;a--,u|=r[o++]<<c,c+=8}if(f-=l,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Rn(n.check,i,f,s-f):sp(n.check,i,f,s-f)),f=l,n.wrap&4&&(n.flags?u:$A(u))!==n.check){e.msg="incorrect data check",n.mode=Dt;break}u=0,c=0}n.mode=DA;case DA:if(n.wrap&&n.flags){for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.total&4294967295)){e.msg="incorrect length check",n.mode=Dt;break}u=0,c=0}n.mode=LA;case LA:x=Zre;break e;case Dt:x=BN;break e;case UN:return zN;case jN:default:return Mi}return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,(n.wsize||f!==e.avail_out&&n.mode<Dt&&(n.mode<US||t!==pA))&&qN(e,e.output,e.next_out,f-e.avail_out),d-=e.avail_in,f-=e.avail_out,e.total_in+=d,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Rn(n.check,i,f,e.next_out-f):sp(n.check,i,f,e.next_out-f)),e.data_type=n.bits+(n.last?64:0)+(n.mode===is?128:0)+(n.mode===hm||n.mode===zS?256:0),(d===0&&f===0||t===pA)&&x===cu&&(x=Jre),x},lie=e=>{if(Cu(e))return Mi;let t=e.state;return t.window&&(t.window=null),e.state=null,cu},uie=(e,t)=>{if(Cu(e))return Mi;const n=e.state;return n.wrap&2?(n.head=t,t.done=!1,cu):Mi},cie=(e,t)=>{const n=t.length;let r,i,o;return Cu(e)||(r=e.state,r.wrap!==0&&r.mode!==ky)?Mi:r.mode===ky&&(i=1,i=sp(i,t,n,0),i!==r.check)?BN:(o=qN(e,t,n,n),o?(r.mode=UN,zN):(r.havedict=1,cu))};var die=GN,fie=HN,hie=VN,pie=oie,gie=WN,mie=aie,yie=lie,vie=uie,_ie=cie,bie="pako inflate (from Nodeca project)",vs={inflateReset:die,inflateReset2:fie,inflateResetKeep:hie,inflateInit:pie,inflateInit2:gie,inflate:mie,inflateEnd:yie,inflateGetHeader:vie,inflateSetDictionary:_ie,inflateInfo:bie};function Sie(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}var wie=Sie;const KN=Object.prototype.toString,{Z_NO_FLUSH:xie,Z_FINISH:Cie,Z_OK:up,Z_STREAM_END:GS,Z_NEED_DICT:HS,Z_STREAM_ERROR:Eie,Z_DATA_ERROR:BA,Z_MEM_ERROR:Tie}=sg;function lg(e){this.options=p1.assign({chunkSize:1024*64,windowBits:15,to:""},e||{});const 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t=e.reducerPath,n=e.context,r=e.context.endpointDefinitions,i=e.mutationThunk,o=e.api,s=e.assertTagType,a=e.refetchQuery,l=o.internalActions.removeQueryResult,u=Ni(ol(i),Xp(i)),c=function(f,h){u(f)&&d(yD(f,"invalidatesTags",r,s),h),o.util.invalidateTags.match(f)&&d(mD(f.payload,void 0,void 0,void 0,void 0,s),h)};function d(f,h){var p=h.getState(),m=p[t],b=o.util.selectInvalidatedBy(p,f);n.batch(function(){for(var _,y=Array.from(b.values()),g=0,v=y;g<v.length;g++){var S=v[g].queryCacheKey,w=m.queries[S],C=(_=m.subscriptions[S])!=null?_:{};w&&(Object.keys(C).length===0?h.dispatch(l({queryCacheKey:S})):w.status!==$t.uninitialized&&h.dispatch(a(w,S)))}})}return c},fse=function(e){var 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Either set keySeparator: false on init or make sure your translations are published in nested format.")}let E=[];const k=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&k&&k[0])for(let $=0;$<k.length;$++)E.push(k[$]);else this.options.saveMissingTo==="all"?E=this.languageUtils.toResolveHierarchy(n.lng||this.language):E.push(n.lng||this.language);const N=($,M,O)=>{const D=C&&O!==f?O:L;this.options.missingKeyHandler?this.options.missingKeyHandler($,l,M,D,R,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing($,l,M,D,R,n),this.emit("missingKey",$,l,M,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?E.forEach($=>{this.pluralResolver.getSuffixes($,n).forEach(M=>{N([$],s+M,n[`defaultValue${M}`]||T)})}):N(E,s,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(S||v)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,v?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):s.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=q$.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(b=>{this.isValidLookup(r)||(a=b,!h8[`${m[0]}-${b}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(h8[`${m[0]}-${b}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(_=>{if(this.isValidLookup(r))return;s=_;const y=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(y,c,_,b,n);else{let v;f&&(v=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(y.push(c+v),n.ordinal&&v.indexOf(w)===0&&y.push(c+v.replace(w,this.options.pluralSeparator)),h&&y.push(c+S)),p){const C=`${c}${this.options.contextSeparator}${n.context}`;y.push(C),f&&(y.push(C+v),n.ordinal&&v.indexOf(w)===0&&y.push(C+v.replace(w,this.options.pluralSeparator)),h&&y.push(C+S))}}let g;for(;g=y.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function u2(e){return e.charAt(0).toUpperCase()+e.slice(1)}class p8{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Do.create("languageUtils")}getScriptPartFromCode(t){if(t=Qy(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=Qy(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=u2(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=u2(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=u2(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let Khe=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],Xhe={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const Yhe=["v1","v2","v3"],Zhe=["v4"],g8={zero:0,one:1,two:2,few:3,many:4,other:5};function Qhe(){const e={};return Khe.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:Xhe[t.fc]}})}),e}class Jhe{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Do.create("pluralResolver"),(!this.options.compatibilityJSON||Zhe.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=Qhe()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(Qy(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>g8[i]-g8[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!Yhe.includes(this.options.compatibilityJSON)}}function m8(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Vhe(e,t,n);return!o&&i&&typeof n=="string"&&(o=Zy(e,n,r),o===void 0&&(o=Zy(t,n,r))),o}class epe{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Do.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Hhe,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?Zu(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?Zu(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?Zu(n.nestingPrefix):n.nestingPrefixEscaped||Zu("$t("),this.nestingSuffix=n.nestingSuffix?Zu(n.nestingSuffix):n.nestingSuffixEscaped||Zu(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(p){return p.replace(/\$/g,"$$$$")}const c=p=>{if(p.indexOf(this.formatSeparator)<0){const y=m8(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(y,void 0,r,{...i,...n,interpolationkey:p}):y}const m=p.split(this.formatSeparator),b=m.shift().trim(),_=m.join(this.formatSeparator).trim();return this.format(m8(n,l,b,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:b})};this.resetRegExp();const d=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,f=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:p=>u(p)},{regex:this.regexp,safeValue:p=>this.escapeValue?u(this.escape(p)):u(p)}].forEach(p=>{for(a=0;o=p.regex.exec(t);){const m=o[1].trim();if(s=c(m),s===void 0)if(typeof d=="function"){const _=d(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,m))s="";else if(f){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${m} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=c8(s));const b=p.safeValue(s);if(t=t.replace(o[0],b),f?(p.regex.lastIndex+=s.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${c}[ ]*{`));let f=`{${d[1]}`;l=d[0],f=this.interpolate(f,s);const h=f.match(/'/g),p=f.match(/"/g);(h&&h.length%2===0&&!p||p.length%2!==0)&&(f=f.replace(/'/g,'"'));try{s=JSON.parse(f),u&&(s={...u,...s})}catch(m){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,m),`${l}${c}${f}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const c=i[1].split(this.formatSeparator).map(d=>d.trim());i[1]=c.shift(),l=c,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=c8(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function tpe(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function Qu(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(Qy(i),o),t[s]=a),a(r)}}class npe{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Do.create("formatter"),this.options=t,this.formats={number:Qu((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:Qu((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:Qu((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:Qu((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:Qu((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=Qu(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=tpe(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function rpe(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class ipe extends H1{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=Do.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let c=!0;n.forEach(d=>{const f=`${u}|${d}`;!r.reload&&this.store.hasResourceBundle(u,d)?this.state[f]=2:this.state[f]<0||(this.state[f]===1?s[f]===void 0&&(s[f]=!0):(this.state[f]=1,c=!1,s[f]===void 0&&(s[f]=!0),o[f]===void 0&&(o[f]=!0),l[d]===void 0&&(l[d]=!0)))}),c||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{jhe(l.loaded,[o],s),rpe(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const c=l.loaded[u];c.length&&c.forEach(d=>{a[u][d]===void 0&&(a[u][d]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,c)=>{if(this.readingCalls--,this.waitingReads.length>0){const d=this.waitingReads.shift();this.read(d.lng,d.ns,d.fcName,d.tried,d.wait,d.callback)}if(u&&c&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,c)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(c=>a(null,c)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>a(null,d)).catch(a):a(null,c)}catch(c){a(c)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function y8(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function v8(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Om(){}function ope(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class bp extends H1{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=v8(t),this.services={},this.logger=Do,this.modules={external:[]},ope(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=y8();this.options={...i,...this.options,...v8(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?Do.init(o(this.modules.logger),this.options):Do.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=npe);const d=new p8(this.options);this.store=new f8(this.options.resources,this.options);const f=this.services;f.logger=Do,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new Jhe(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new epe(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new ipe(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.languageDetector&&(f.languageDetector=o(this.modules.languageDetector),f.languageDetector.init&&f.languageDetector.init(f,this.options.detection,this.options)),this.modules.i18nFormat&&(f.i18nFormat=o(this.modules.i18nFormat),f.i18nFormat.init&&f.i18nFormat.init(this)),this.translator=new Jy(this.services,this.options),this.translator.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.external.forEach(h=>{h.init&&h.init(this)})}if(this.format=this.options.interpolation.format,r||(r=Om),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const c=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);c.length>0&&c[0]!=="dev"&&(this.options.lng=c[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(c=>{this[c]=function(){return t.store[c](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(c=>{this[c]=function(){return t.store[c](...arguments),t}});const l=wf(),u=()=>{const c=(d,f)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&q$.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=wf();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([s,a].concat(c))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const f=i.options.keySeparator||".";let h;return l.keyPrefix&&Array.isArray(s)?h=s.map(p=>`${l.keyPrefix}${f}${p}`):h=l.keyPrefix?`${l.keyPrefix}${f}${s}`:s,i.t(h,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=wf();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=wf();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new p8(y8());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new bp(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 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U8=",",X0e="(",Y0e=")",Z0e="([",Q0e="])",J0e=";",eye="()",tye="=",j8=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],nye=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const rye=100;class 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n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=j8.length,r=this.setAttr,i,o,s=function(a){var 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n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var 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m_{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}As.HitContext=oye;Object.defineProperty(ao,"__esModule",{value:!0});ao.HitCanvas=ao.SceneCanvas=ao.Canvas=void 0;const ov=Yt,jF=As,VF=Le,sye=Ne,aye=be;var Rm;function lye(){if(Rm)return Rm;var e=ov.Util.createCanvasElement(),t=e.getContext("2d");return Rm=function(){var n=VF.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),ov.Util.releaseCanvas(e),Rm}class y_{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||VF.Konva.pixelRatio||lye();this.pixelRatio=r,this._canvas=ov.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return ov.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}ao.Canvas=y_;sye.Factory.addGetterSetter(y_,"pixelRatio",void 0,(0,aye.getNumberValidator)());class uye extends y_{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new jF.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}ao.SceneCanvas=uye;class cye extends y_{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new jF.HitContext(this),this.setSize(t.width,t.height)}}ao.HitCanvas=cye;var v_={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Le,n=Yt;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=a.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(v_);Object.defineProperty(Ut,"__esModule",{value:!0});Ut.Node=void 0;const Be=Yt,bg=Ne,Im=ao,Cl=Le,yi=v_,ln=be;var w0="absoluteOpacity",Mm="allEventListeners",fs="absoluteTransform",V8="absoluteScale",El="canvas",dye="Change",fye="children",hye="konva",Yx="listening",G8="mouseenter",H8="mouseleave",W8="set",q8="Shape",x0=" ",K8="stage",na="transform",pye="Stage",Zx="visible",gye=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(x0);let mye=1;class Te{constructor(t){this._id=mye++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===na||t===fs)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===na||t===fs,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(x0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(El)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===fs&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(El)){const{scene:t,filter:n,hit:r}=this._cache.get(El);Be.Util.releaseCanvas(t,n,r),this._cache.delete(El)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){Be.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Im.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Im.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Im.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(El),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(w0),this._clearSelfAndDescendantCache(V8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(El,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(El)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){Be.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(d){Be.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Mm),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(x0),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(x0),i=r.length,o,s,a,l,u,c;if(this._cache&&this._cache.delete(Mm),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(s in this.eventListeners)this._off(s,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=Be.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),yi.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(fs),this._clearSelfAndDescendantCache(w0),this._clearSelfAndDescendantCache(V8),this._clearSelfAndDescendantCache(K8),this._clearSelfAndDescendantCache(Zx),this._clearSelfAndDescendantCache(Yx)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+Be.Util._capitalize(t);return Be.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==fye&&(r=W8+Be.Util._capitalize(n),Be.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(Yx,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(Zx,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;yi.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Cl.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==q8&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==pye&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(na),this._clearSelfAndDescendantCache(fs)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new Be.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(na);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(na),this._clearSelfAndDescendantCache(fs),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return Be.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return Be.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return Be.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return Be.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return Be.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&Be.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(w0,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=Be.Util.isObject(i)&&!Be.Util._isPlainObject(i)&&!Be.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),Be.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],Be.Util.isValidSelector(o)||(Be.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),Be.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),Be.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(K8,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(fs,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new Be.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(fs)||new Be.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(na,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(na)||new Be.Transform;r.reset();var i=this.x(),o=this.y(),s=Cl.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||c!==0)&&r.skew(u,c),(a!==1||l!==1)&&r.scale(a,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=Be.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(hye)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new Im.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,Be.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():Cl.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+dye,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[W8+Be.Util._capitalize(t)];return Be.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(Cl.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!Be.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===q8&&(n.target=this);var i=(t===G8||t===H8)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===G8||t===H8)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Mm))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(Mm,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;yi.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){yi.DD._dragElements.has(this._id)||this._createDragElement(t);const r=yi.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:Be.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=yi.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),yi.DD._endDragBefore(t),yi.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=yi.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||Cl.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;yi.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=yi.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&yi.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return Be.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return Be.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=Te.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Cl.Konva[r]||(Be.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Cl.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(Te._createNode(i[a]));return o}}Ut.Node=Te;Te.prototype.nodeType="Node";Te.prototype._attrsAffectingSize=[];Te.prototype.eventListeners={};Te.prototype.on.call(Te.prototype,gye,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(na),this._clearSelfAndDescendantCache(fs)});Te.prototype.on.call(Te.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(Zx)});Te.prototype.on.call(Te.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(Yx)});Te.prototype.on.call(Te.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(w0)});const yt=bg.Factory.addGetterSetter;yt(Te,"zIndex");yt(Te,"absolutePosition");yt(Te,"position");yt(Te,"x",0,(0,ln.getNumberValidator)());yt(Te,"y",0,(0,ln.getNumberValidator)());yt(Te,"globalCompositeOperation","source-over",(0,ln.getStringValidator)());yt(Te,"opacity",1,(0,ln.getNumberValidator)());yt(Te,"name","",(0,ln.getStringValidator)());yt(Te,"id","",(0,ln.getStringValidator)());yt(Te,"rotation",0,(0,ln.getNumberValidator)());bg.Factory.addComponentsGetterSetter(Te,"scale",["x","y"]);yt(Te,"scaleX",1,(0,ln.getNumberValidator)());yt(Te,"scaleY",1,(0,ln.getNumberValidator)());bg.Factory.addComponentsGetterSetter(Te,"skew",["x","y"]);yt(Te,"skewX",0,(0,ln.getNumberValidator)());yt(Te,"skewY",0,(0,ln.getNumberValidator)());bg.Factory.addComponentsGetterSetter(Te,"offset",["x","y"]);yt(Te,"offsetX",0,(0,ln.getNumberValidator)());yt(Te,"offsetY",0,(0,ln.getNumberValidator)());yt(Te,"dragDistance",null,(0,ln.getNumberValidator)());yt(Te,"width",0,(0,ln.getNumberValidator)());yt(Te,"height",0,(0,ln.getNumberValidator)());yt(Te,"listening",!0,(0,ln.getBooleanValidator)());yt(Te,"preventDefault",!0,(0,ln.getBooleanValidator)());yt(Te,"filters",null,function(e){return this._filterUpToDate=!1,e});yt(Te,"visible",!0,(0,ln.getBooleanValidator)());yt(Te,"transformsEnabled","all",(0,ln.getStringValidator)());yt(Te,"size");yt(Te,"dragBoundFunc");yt(Te,"draggable",!1,(0,ln.getBooleanValidator)());bg.Factory.backCompat(Te,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var Tu={};Object.defineProperty(Tu,"__esModule",{value:!0});Tu.Container=void 0;const Vd=Ne,v2=Ut,__=be;class Au extends v2.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=v2.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=v2.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(b){b[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}Tu.Container=Au;Vd.Factory.addComponentsGetterSetter(Au,"clip",["x","y","width","height"]);Vd.Factory.addGetterSetter(Au,"clipX",void 0,(0,__.getNumberValidator)());Vd.Factory.addGetterSetter(Au,"clipY",void 0,(0,__.getNumberValidator)());Vd.Factory.addGetterSetter(Au,"clipWidth",void 0,(0,__.getNumberValidator)());Vd.Factory.addGetterSetter(Au,"clipHeight",void 0,(0,__.getNumberValidator)());Vd.Factory.addGetterSetter(Au,"clipFunc");var GF={},ei={};Object.defineProperty(ei,"__esModule",{value:!0});ei.releaseCapture=ei.setPointerCapture=ei.hasPointerCapture=ei.createEvent=ei.getCapturedShape=void 0;const yye=Le,wp=new Map,HF=yye.Konva._global.PointerEvent!==void 0;function vye(e){return wp.get(e)}ei.getCapturedShape=vye;function yE(e){return{evt:e,pointerId:e.pointerId}}ei.createEvent=yE;function _ye(e,t){return wp.get(e)===t}ei.hasPointerCapture=_ye;function bye(e,t){WF(e),t.getStage()&&(wp.set(e,t),HF&&t._fire("gotpointercapture",yE(new PointerEvent("gotpointercapture"))))}ei.setPointerCapture=bye;function WF(e,t){const n=wp.get(e);if(!n)return;const r=n.getStage();r&&r.content,wp.delete(e),HF&&n._fire("lostpointercapture",yE(new PointerEvent("lostpointercapture")))}ei.releaseCapture=WF;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Yt,n=Ne,r=Tu,i=Le,o=ao,s=v_,a=Le,l=ei;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",b="mousemove",_="mousedown",y="mouseup",g="pointermove",v="pointerdown",S="pointerup",w="pointercancel",C="lostpointercapture",x="pointerout",A="pointerleave",T="pointerover",P="pointerenter",L="contextmenu",R="touchstart",E="touchend",k="touchmove",N="touchcancel",$="wheel",M=5,O=[[m,"_pointerenter"],[_,"_pointerdown"],[b,"_pointermove"],[y,"_pointerup"],[h,"_pointerleave"],[R,"_pointerdown"],[k,"_pointermove"],[E,"_pointerup"],[N,"_pointercancel"],[p,"_pointerover"],[$,"_wheel"],[L,"_contextmenu"],[v,"_pointerdown"],[g,"_pointermove"],[S,"_pointerup"],[w,"_pointercancel"],[C,"_lostpointercapture"]];const D={mouse:{[x]:f,[A]:h,[T]:p,[P]:m,[g]:b,[v]:_,[S]:y,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[x]:"touchout",[A]:"touchleave",[T]:"touchover",[P]:"touchenter",[g]:k,[v]:R,[S]:E,[w]:N,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[x]:x,[A]:A,[T]:T,[P]:P,[g]:g,[v]:v,[S]:S,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},F=Z=>Z.indexOf("pointer")>=0?"pointer":Z.indexOf("touch")>=0?"touch":"mouse",U=Z=>{const z=F(Z);if(z==="pointer")return i.Konva.pointerEventsEnabled&&D.pointer;if(z==="touch")return D.touch;if(z==="mouse")return D.mouse};function V(Z={}){return(Z.clipFunc||Z.clipWidth||Z.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Z}const q="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class X extends r.Container{constructor(z){super(V(z)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(z){const W=z.getType()==="Layer",Q=z.getType()==="FastLayer";W||Q||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const z=this.visible()?"":"none";this.content.style.display=z}setContainer(z){if(typeof z===c){if(z.charAt(0)==="."){var W=z.slice(1);z=document.getElementsByClassName(W)[0]}else{var Q;z.charAt(0)!=="#"?Q=z:Q=z.slice(1),z=document.getElementById(Q)}if(!z)throw"Can not find container in document with id "+Q}return this._setAttr("container",z),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),z.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var z=this.children,W=z.length,Q;for(Q=0;Q<W;Q++)z[Q].clear();return this}clone(z){return z||(z={}),z.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,z)}destroy(){super.destroy();var z=this.content;z&&t.Util._isInDocument(z)&&this.container().removeChild(z);var W=e.stages.indexOf(this);return W>-1&&e.stages.splice(W,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const z=this._pointerPositions[0]||this._changedPointerPositions[0];return z?{x:z.x,y:z.y}:(t.Util.warn(q),null)}_getPointerById(z){return this._pointerPositions.find(W=>W.id===z)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(z){z=z||{},z.x=z.x||0,z.y=z.y||0,z.width=z.width||this.width(),z.height=z.height||this.height();var W=new o.SceneCanvas({width:z.width,height:z.height,pixelRatio:z.pixelRatio||1}),Q=W.getContext()._context,J=this.children;return(z.x||z.y)&&Q.translate(-1*z.x,-1*z.y),J.forEach(function(se){if(se.isVisible()){var oe=se._toKonvaCanvas(z);Q.drawImage(oe._canvas,z.x,z.y,oe.getWidth()/oe.getPixelRatio(),oe.getHeight()/oe.getPixelRatio())}}),W}getIntersection(z){if(!z)return null;var W=this.children,Q=W.length,J=Q-1,se;for(se=J;se>=0;se--){const oe=W[se].getIntersection(z);if(oe)return oe}return null}_resizeDOM(){var z=this.width(),W=this.height();this.content&&(this.content.style.width=z+d,this.content.style.height=W+d),this.bufferCanvas.setSize(z,W),this.bufferHitCanvas.setSize(z,W),this.children.forEach(Q=>{Q.setSize({width:z,height:W}),Q.draw()})}add(z,...W){if(arguments.length>1){for(var Q=0;Q<arguments.length;Q++)this.add(arguments[Q]);return this}super.add(z);var J=this.children.length;return J>M&&t.Util.warn("The stage has "+J+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),z.setSize({width:this.width(),height:this.height()}),z.draw(),i.Konva.isBrowser&&this.content.appendChild(z.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(z){return l.hasPointerCapture(z,this)}setPointerCapture(z){l.setPointerCapture(z,this)}releaseCapture(z){l.releaseCapture(z,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&O.forEach(([z,W])=>{this.content.addEventListener(z,Q=>{this[W](Q)},{passive:!1})})}_pointerenter(z){this.setPointersPositions(z);const W=U(z.type);this._fire(W.pointerenter,{evt:z,target:this,currentTarget:this})}_pointerover(z){this.setPointersPositions(z);const W=U(z.type);this._fire(W.pointerover,{evt:z,target:this,currentTarget:this})}_getTargetShape(z){let W=this[z+"targetShape"];return W&&!W.getStage()&&(W=null),W}_pointerleave(z){const W=U(z.type),Q=F(z.type);if(W){this.setPointersPositions(z);var J=this._getTargetShape(Q),se=!s.DD.isDragging||i.Konva.hitOnDragEnabled;J&&se?(J._fireAndBubble(W.pointerout,{evt:z}),J._fireAndBubble(W.pointerleave,{evt:z}),this._fire(W.pointerleave,{evt:z,target:this,currentTarget:this}),this[Q+"targetShape"]=null):se&&(this._fire(W.pointerleave,{evt:z,target:this,currentTarget:this}),this._fire(W.pointerout,{evt:z,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(z){const W=U(z.type),Q=F(z.type);if(W){this.setPointersPositions(z);var J=!1;this._changedPointerPositions.forEach(se=>{var oe=this.getIntersection(se);if(s.DD.justDragged=!1,i.Konva["_"+Q+"ListenClick"]=!0,!(oe&&oe.isListening()))return;i.Konva.capturePointerEventsEnabled&&oe.setPointerCapture(se.id),this[Q+"ClickStartShape"]=oe,oe._fireAndBubble(W.pointerdown,{evt:z,pointerId:se.id}),J=!0;const Ae=z.type.indexOf("touch")>=0;oe.preventDefault()&&z.cancelable&&Ae&&z.preventDefault()}),J||this._fire(W.pointerdown,{evt:z,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(z){const W=U(z.type),Q=F(z.type);if(!W)return;s.DD.isDragging&&s.DD.node.preventDefault()&&z.cancelable&&z.preventDefault(),this.setPointersPositions(z);var J=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!J)return;var se={};let oe=!1;var Me=this._getTargetShape(Q);this._changedPointerPositions.forEach(Ae=>{const _e=l.getCapturedShape(Ae.id)||this.getIntersection(Ae),je=Ae.id,he={evt:z,pointerId:je};var It=Me!==_e;if(It&&Me&&(Me._fireAndBubble(W.pointerout,Object.assign({},he),_e),Me._fireAndBubble(W.pointerleave,Object.assign({},he),_e)),_e){if(se[_e._id])return;se[_e._id]=!0}_e&&_e.isListening()?(oe=!0,It&&(_e._fireAndBubble(W.pointerover,Object.assign({},he),Me),_e._fireAndBubble(W.pointerenter,Object.assign({},he),Me),this[Q+"targetShape"]=_e),_e._fireAndBubble(W.pointermove,Object.assign({},he))):Me&&(this._fire(W.pointerover,{evt:z,target:this,currentTarget:this,pointerId:je}),this[Q+"targetShape"]=null)}),oe||this._fire(W.pointermove,{evt:z,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(z){const W=U(z.type),Q=F(z.type);if(!W)return;this.setPointersPositions(z);const J=this[Q+"ClickStartShape"],se=this[Q+"ClickEndShape"];var oe={};let Me=!1;this._changedPointerPositions.forEach(Ae=>{const _e=l.getCapturedShape(Ae.id)||this.getIntersection(Ae);if(_e){if(_e.releaseCapture(Ae.id),oe[_e._id])return;oe[_e._id]=!0}const je=Ae.id,he={evt:z,pointerId:je};let It=!1;i.Konva["_"+Q+"InDblClickWindow"]?(It=!0,clearTimeout(this[Q+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+Q+"InDblClickWindow"]=!0,clearTimeout(this[Q+"DblTimeout"])),this[Q+"DblTimeout"]=setTimeout(function(){i.Konva["_"+Q+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),_e&&_e.isListening()?(Me=!0,this[Q+"ClickEndShape"]=_e,_e._fireAndBubble(W.pointerup,Object.assign({},he)),i.Konva["_"+Q+"ListenClick"]&&J&&J===_e&&(_e._fireAndBubble(W.pointerclick,Object.assign({},he)),It&&se&&se===_e&&_e._fireAndBubble(W.pointerdblclick,Object.assign({},he)))):(this[Q+"ClickEndShape"]=null,i.Konva["_"+Q+"ListenClick"]&&this._fire(W.pointerclick,{evt:z,target:this,currentTarget:this,pointerId:je}),It&&this._fire(W.pointerdblclick,{evt:z,target:this,currentTarget:this,pointerId:je}))}),Me||this._fire(W.pointerup,{evt:z,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+Q+"ListenClick"]=!1,z.cancelable&&Q!=="touch"&&z.preventDefault()}_contextmenu(z){this.setPointersPositions(z);var W=this.getIntersection(this.getPointerPosition());W&&W.isListening()?W._fireAndBubble(L,{evt:z}):this._fire(L,{evt:z,target:this,currentTarget:this})}_wheel(z){this.setPointersPositions(z);var W=this.getIntersection(this.getPointerPosition());W&&W.isListening()?W._fireAndBubble($,{evt:z}):this._fire($,{evt:z,target:this,currentTarget:this})}_pointercancel(z){this.setPointersPositions(z);const W=l.getCapturedShape(z.pointerId)||this.getIntersection(this.getPointerPosition());W&&W._fireAndBubble(S,l.createEvent(z)),l.releaseCapture(z.pointerId)}_lostpointercapture(z){l.releaseCapture(z.pointerId)}setPointersPositions(z){var W=this._getContentPosition(),Q=null,J=null;z=z||window.event,z.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(z.touches,se=>{this._pointerPositions.push({id:se.identifier,x:(se.clientX-W.left)/W.scaleX,y:(se.clientY-W.top)/W.scaleY})}),Array.prototype.forEach.call(z.changedTouches||z.touches,se=>{this._changedPointerPositions.push({id:se.identifier,x:(se.clientX-W.left)/W.scaleX,y:(se.clientY-W.top)/W.scaleY})})):(Q=(z.clientX-W.left)/W.scaleX,J=(z.clientY-W.top)/W.scaleY,this.pointerPos={x:Q,y:J},this._pointerPositions=[{x:Q,y:J,id:t.Util._getFirstPointerId(z)}],this._changedPointerPositions=[{x:Q,y:J,id:t.Util._getFirstPointerId(z)}])}_setPointerPosition(z){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(z)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var z=this.content.getBoundingClientRect();return{top:z.top,left:z.left,scaleX:z.width/this.content.clientWidth||1,scaleY:z.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var z=this.container();if(!z)throw"Stage has no container. A container is required.";z.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),z.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(z){z.batchDraw()}),this}}e.Stage=X,X.prototype.nodeType=u,(0,a._registerNode)(X),n.Factory.addGetterSetter(X,"container")})(GF);var Sg={},Cn={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Le,n=Yt,r=Ne,i=Ut,o=be,s=Le,a=ei;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function y(A){A.stroke()}function g(){this._clearCache(l)}function v(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function C(){this._clearCache(f)}class x extends i.Node{constructor(T){super(T);let P;for(;P=n.Util.getRandomColor(),!(P&&!(P in e.shapes)););this.colorKey=P,e.shapes[P]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const P=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(P&&P.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const R=L.getMatrix(),E=typeof DOMMatrix>"u"?{a:R[0],b:R[1],c:R[2],d:R[3],e:R[4],f:R[5]}:new DOMMatrix(R);P.setTransform(E)}return P}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var P=p(),L=this.fillLinearGradientStartPoint(),R=this.fillLinearGradientEndPoint(),E=P.createLinearGradient(L.x,L.y,R.x,R.y),k=0;k<T.length;k+=2)E.addColorStop(T[k],T[k+1]);return E}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var T=this.fillRadialGradientColorStops();if(T){for(var P=p(),L=this.fillRadialGradientStartPoint(),R=this.fillRadialGradientEndPoint(),E=P.createRadialGradient(L.x,L.y,this.fillRadialGradientStartRadius(),R.x,R.y,this.fillRadialGradientEndRadius()),k=0;k<T.length;k+=2)E.addColorStop(T[k],T[k+1]);return E}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var T=n.Util.colorToRGBA(this.shadowColor());if(T)return"rgba("+T.r+","+T.g+","+T.b+","+T.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var P=this.getStage(),L=P.bufferHitCanvas,R;return L.getContext().clear(),this.drawHit(L,null,!0),R=L.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,R[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var P;if(!this.getStage()||!((P=this.attrs.perfectDrawEnabled)!==null&&P!==void 0?P:!0))return!1;const R=T||this.hasFill(),E=this.hasStroke(),k=this.getAbsoluteOpacity()!==1;if(R&&E&&k)return!0;const N=this.hasShadow(),$=this.shadowForStrokeEnabled();return!!(R&&E&&N&&$)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const P=T.skipTransform,L=T.relativeTo,R=this.getSelfRect(),k=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,N=R.width+k,$=R.height+k,M=!T.skipShadow&&this.hasShadow(),O=M?this.shadowOffsetX():0,D=M?this.shadowOffsetY():0,F=N+Math.abs(O),U=$+Math.abs(D),V=M&&this.shadowBlur()||0,q=F+V*2,X=U+V*2,Z={width:q,height:X,x:-(k/2+V)+Math.min(O,0)+R.x,y:-(k/2+V)+Math.min(D,0)+R.y};return P?Z:this._transformedRect(Z,L)}drawScene(T,P){var L=this.getLayer(),R=T||L.getCanvas(),E=R.getContext(),k=this._getCanvasCache(),N=this.getSceneFunc(),$=this.hasShadow(),M,O,D,F=R.isCache,U=P===this;if(!this.isVisible()&&!U)return this;if(k){E.save();var V=this.getAbsoluteTransform(P).getMatrix();return E.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(E),E.restore(),this}if(!N)return this;if(E.save(),this._useBufferCanvas()&&!F){M=this.getStage(),O=M.bufferCanvas,D=O.getContext(),D.clear(),D.save(),D._applyLineJoin(this);var q=this.getAbsoluteTransform(P).getMatrix();D.transform(q[0],q[1],q[2],q[3],q[4],q[5]),N.call(this,D,this),D.restore();var X=O.pixelRatio;$&&E._applyShadow(this),E._applyOpacity(this),E._applyGlobalCompositeOperation(this),E.drawImage(O._canvas,0,0,O.width/X,O.height/X)}else{if(E._applyLineJoin(this),!U){var q=this.getAbsoluteTransform(P).getMatrix();E.transform(q[0],q[1],q[2],q[3],q[4],q[5]),E._applyOpacity(this),E._applyGlobalCompositeOperation(this)}$&&E._applyShadow(this),N.call(this,E,this)}return E.restore(),this}drawHit(T,P,L=!1){if(!this.shouldDrawHit(P,L))return this;var R=this.getLayer(),E=T||R.hitCanvas,k=E&&E.getContext(),N=this.hitFunc()||this.sceneFunc(),$=this._getCanvasCache(),M=$&&$.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),M){k.save();var O=this.getAbsoluteTransform(P).getMatrix();return k.transform(O[0],O[1],O[2],O[3],O[4],O[5]),this._drawCachedHitCanvas(k),k.restore(),this}if(!N)return this;if(k.save(),k._applyLineJoin(this),!(this===P)){var F=this.getAbsoluteTransform(P).getMatrix();k.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return N.call(this,k,this),k.restore(),this}drawHitFromCache(T=0){var P=this._getCanvasCache(),L=this._getCachedSceneCanvas(),R=P.hit,E=R.getContext(),k=R.getWidth(),N=R.getHeight(),$,M,O,D,F,U;E.clear(),E.drawImage(L._canvas,0,0,k,N);try{for($=E.getImageData(0,0,k,N),M=$.data,O=M.length,D=n.Util._hexToRgb(this.colorKey),F=0;F<O;F+=4)U=M[F+3],U>T?(M[F]=D.r,M[F+1]=D.g,M[F+2]=D.b,M[F+3]=255):M[F+3]=0;E.putImageData($,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=x,x.prototype._fillFunc=m,x.prototype._strokeFunc=b,x.prototype._fillFuncHit=_,x.prototype._strokeFuncHit=y,x.prototype._centroid=!1,x.prototype.nodeType="Shape",(0,s._registerNode)(x),x.prototype.eventListeners={},x.prototype.on.call(x.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),x.prototype.on.call(x.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",v),x.prototype.on.call(x.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),x.prototype.on.call(x.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),x.prototype.on.call(x.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",C),r.Factory.addGetterSetter(x,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(x,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(x,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(x,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(x,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(x,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(x,"lineJoin"),r.Factory.addGetterSetter(x,"lineCap"),r.Factory.addGetterSetter(x,"sceneFunc"),r.Factory.addGetterSetter(x,"hitFunc"),r.Factory.addGetterSetter(x,"dash"),r.Factory.addGetterSetter(x,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(x,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(x,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(x,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternImage"),r.Factory.addGetterSetter(x,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(x,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(x,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(x,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(x,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(x,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(x,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(x,"fillEnabled",!0),r.Factory.addGetterSetter(x,"strokeEnabled",!0),r.Factory.addGetterSetter(x,"shadowEnabled",!0),r.Factory.addGetterSetter(x,"dashEnabled",!0),r.Factory.addGetterSetter(x,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(x,"fillPriority","color"),r.Factory.addComponentsGetterSetter(x,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(x,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(x,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(x,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(x,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(x,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(x,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(x,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(x,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(x,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(x,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(x,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(x,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(x,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(x,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(x,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(x,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(x,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(x,"fillPatternRotation",0),r.Factory.addGetterSetter(x,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(x,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(Cn);Object.defineProperty(Sg,"__esModule",{value:!0});Sg.Layer=void 0;const as=Yt,_2=Tu,ec=Ut,vE=Ne,X8=ao,Sye=be,wye=Cn,xye=Le;var Cye="#",Eye="beforeDraw",Tye="draw",qF=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Aye=qF.length;class Gd extends _2.Container{constructor(t){super(t),this.canvas=new X8.SceneCanvas,this.hitCanvas=new X8.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){ec.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=ec.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(ec.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(ec.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return ec.Node.prototype.remove.call(this),t&&t.parentNode&&as.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&as.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),ec.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){as.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){as.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,as.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<Aye;i++){const o=qF[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=as.Util._rgbToHex(r[0],r[1],r[2]),s=wye.shapes[Cye+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Eye,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),_2.Container.prototype.drawScene.call(this,i,n),this._fire(Tye,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),_2.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){as.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return as.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return as.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Sg.Layer=Gd;Gd.prototype.nodeType="Layer";(0,xye._registerNode)(Gd);vE.Factory.addGetterSetter(Gd,"imageSmoothingEnabled",!0);vE.Factory.addGetterSetter(Gd,"clearBeforeDraw",!0);vE.Factory.addGetterSetter(Gd,"hitGraphEnabled",!0,(0,Sye.getBooleanValidator)());var b_={};Object.defineProperty(b_,"__esModule",{value:!0});b_.FastLayer=void 0;const kye=Yt,Pye=Sg,Oye=Le;class _E extends Pye.Layer{constructor(t){super(t),this.listening(!1),kye.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}b_.FastLayer=_E;_E.prototype.nodeType="FastLayer";(0,Oye._registerNode)(_E);var Hd={};Object.defineProperty(Hd,"__esModule",{value:!0});Hd.Group=void 0;const Rye=Yt,Iye=Tu,Mye=Le;class bE extends Iye.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Rye.Util.throw("You may only add groups and shapes to groups.")}}Hd.Group=bE;bE.prototype.nodeType="Group";(0,Mye._registerNode)(bE);var Wd={};Object.defineProperty(Wd,"__esModule",{value:!0});Wd.Animation=void 0;const b2=Le,Y8=Yt;var S2=function(){return b2.glob.performance&&b2.glob.performance.now?function(){return b2.glob.performance.now()}:function(){return new Date().getTime()}}();class Ro{constructor(t,n){this.id=Ro.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:S2(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=Ro,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=S2(),Ro._addAnimation(this),this}stop(){return Ro._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,c,d;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(S2()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=Ro;t.animations.length?(t._runFrames(),Y8.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,Y8.Util.requestAnimFrame(this._animationLoop))}}Wd.Animation=Ro;Ro.animations=[];Ro.animIdCounter=0;Ro.animRunning=!1;var KF={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Yt,n=Wd,r=Ut,i=Le;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,b,_,y,g,v){this.prop=p,this.propFunc=m,this.begin=_,this._pos=_,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=v,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=b,this._change=y-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,b=p.node,_=b._id,y,g=p.easing||e.Easings.Linear,v=!!p.yoyo,S;typeof p.duration>"u"?y=.3:p.duration===0?y=.001:y=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(C){m._tweenFunc(C)},g,0,1,y*1e3,v),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,y,g,v,S,w,C,x,A;if(v=f.tweens[_][p],v&&delete f.attrs[_][v][p],y=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,y.length),p==="points"&&m.length!==y.length&&(m.length>y.length?(x=y,y=t.Util._prepareArrayForTween(y,m,b.closed())):(C=m,m=t.Util._prepareArrayForTween(m,y,b.closed()))),p.indexOf("fill")===0)for(S=0;S<w;S++)if(S%2===0)g.push(m[S]-y[S]);else{var T=t.Util.colorToRGBA(y[S]);A=t.Util.colorToRGBA(m[S]),y[S]=T,g.push({r:A.r-T.r,g:A.g-T.g,b:A.b-T.b,a:A.a-T.a})}else for(S=0;S<w;S++)g.push(m[S]-y[S]);else c.indexOf(p)!==-1?(y=t.Util.colorToRGBA(y),A=t.Util.colorToRGBA(m),g={r:A.r-y.r,g:A.g-y.g,b:A.b-y.b,a:A.a-y.a}):g=m-y;f.attrs[_][this._id][p]={start:y,diff:g,end:m,trueEnd:C,trueStart:x},f.tweens[_][p]=this._id}_tweenFunc(p){var m=this.node,b=f.attrs[m._id][this._id],_,y,g,v,S,w,C,x;for(_ in b){if(y=b[_],g=y.start,v=y.diff,x=y.end,t.Util._isArray(g))if(S=[],C=Math.max(g.length,x.length),_.indexOf("fill")===0)for(w=0;w<C;w++)w%2===0?S.push((g[w]||0)+v[w]*p):S.push("rgba("+Math.round(g[w].r+v[w].r*p)+","+Math.round(g[w].g+v[w].g*p)+","+Math.round(g[w].b+v[w].b*p)+","+(g[w].a+v[w].a*p)+")");else for(w=0;w<C;w++)S.push((g[w]||0)+v[w]*p);else c.indexOf(_)!==-1?S="rgba("+Math.round(g.r+v.r*p)+","+Math.round(g.g+v.g*p)+","+Math.round(g.b+v.b*p)+","+(g.a+v.a*p)+")":S=g+v*p;m.setAttr(_,S)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),-(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y))+p)},ElasticEaseOut(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),_*Math.pow(2,-10*h)*Math.sin((h*b-g)*(2*Math.PI)/y)+m+p)},ElasticEaseInOut(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b/2)===2?p+m:(y||(y=b*(.3*1.5)),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),h<1?-.5*(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y))+p:_*Math.pow(2,-10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y)*.5+m+p)},BounceEaseOut(h,p,m,b){return(h/=b)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,b){return m-e.Easings.BounceEaseOut(b-h,0,m,b)+p},BounceEaseInOut(h,p,m,b){return h<b/2?e.Easings.BounceEaseIn(h*2,0,m,b)*.5+p:e.Easings.BounceEaseOut(h*2-b,0,m,b)*.5+m*.5+p},EaseIn(h,p,m,b){return m*(h/=b)*h+p},EaseOut(h,p,m,b){return-m*(h/=b)*(h-2)+p},EaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,b){return m*(h/=b)*h*h*h*h+p},StrongEaseOut(h,p,m,b){return m*((h=h/b-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,b){return m*h/b+p}}})(KF);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=Le,n=Yt,r=Ut,i=Tu,o=GF,s=Sg,a=b_,l=Hd,u=v_,c=Cn,d=Wd,f=KF,h=As,p=ao;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(zF);var S_={};Object.defineProperty(S_,"__esModule",{value:!0});S_.Arc=void 0;const w_=Ne,Nye=Cn,Z8=Le,x_=be,Dye=Le;class Ws extends Nye.Shape{_sceneFunc(t){var n=Z8.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return 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a=s[0],l=s[1],u=s[2],c=s[3],d=s[4],f=s[5],h=s[6],p=s[7],m=u>c?u:c,b=u>c?1:u/c,_=u>c?c/u:1;t.translate(a,l),t.rotate(h),t.scale(b,_),t.arc(0,0,m,d,d+f,1-p),t.scale(1/b,1/_),t.rotate(-h),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var c=u.points[4],d=u.points[5],f=u.points[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),d<0)for(let p=c-h;p>f;p-=h){const m=yn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}else for(let p=c+h;p<f;p+=h){const m=yn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}}else if(u.command==="C")for(let p=0;p<=1;p+=.01){const m=yn.getPointOnCubicBezier(p,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(m.x,m.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return yn.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return yn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return yn.getPointOnCubicBezier((0,tc.t2length)(t,yn.getPathLength(n),m=>(0,tc.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return yn.getPointOnQuadraticBezier((0,tc.t2length)(t,yn.getPathLength(n),m=>(0,tc.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,yn.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:s,y:a+c};else if((a-r)/(s-n+1e-8)===l)d={x:s+u,y:a+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(s-n)*(i-n)+(a-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var b=this.getLineLength(s,a,f,h),_=Math.sqrt(t*t-b*b);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function c(b){return b*b*b}function d(b){return 3*b*b*(1-b)}function f(b){return 3*b*(1-b)*(1-b)}function h(b){return(1-b)*(1-b)*(1-b)}var p=l*c(t)+s*d(t)+i*f(t)+n*h(t),m=u*c(t)+a*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=s*l(t)+i*u(t)+n*c(t),f=a*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),a.length=0;d=c.exec(f);)a.push(d[0]);for(var p=[],m=0,b=a.length;m<b;m++){if(a[m]==="00"){p.push(0,0);continue}var _=parseFloat(a[m]);isNaN(_)?p.push(0):p.push(_)}for(;p.length>0&&!isNaN(p[0]);){var y=null,g=[],v=l,S=u,w,C,x,A,T,P,L,R,E,k;switch(h){case"l":l+=p.shift(),u+=p.shift(),y="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var N=p.shift(),$=p.shift();if(l+=N,u+=$,y="M",s.length>2&&s[s.length-1].command==="z"){for(var M=s.length-2;M>=0;M--)if(s[M].command==="M"){l=s[M].points[0]+N,u=s[M].points[1]+$;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),y="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),y="L",g.push(l,u);break;case"H":l=p.shift(),y="L",g.push(l,u);break;case"v":u+=p.shift(),y="L",g.push(l,u);break;case"V":u=p.shift(),y="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"S":C=l,x=u,w=s[s.length-1],w.command==="C"&&(C=l+(l-w.points[2]),x=u+(u-w.points[3])),g.push(C,x,p.shift(),p.shift()),l=p.shift(),u=p.shift(),y="C",g.push(l,u);break;case"s":C=l,x=u,w=s[s.length-1],w.command==="C"&&(C=l+(l-w.points[2]),x=u+(u-w.points[3])),g.push(C,x,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="Q",g.push(l,u);break;case"T":C=l,x=u,w=s[s.length-1],w.command==="Q"&&(C=l+(l-w.points[0]),x=u+(u-w.points[1])),l=p.shift(),u=p.shift(),y="Q",g.push(C,x,l,u);break;case"t":C=l,x=u,w=s[s.length-1],w.command==="Q"&&(C=l+(l-w.points[0]),x=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),y="Q",g.push(C,x,l,u);break;case"A":A=p.shift(),T=p.shift(),P=p.shift(),L=p.shift(),R=p.shift(),E=l,k=u,l=p.shift(),u=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,k,l,u,L,R,A,T,P);break;case"a":A=p.shift(),T=p.shift(),P=p.shift(),L=p.shift(),R=p.shift(),E=l,k=u,l+=p.shift(),u+=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,k,l,u,L,R,A,T,P);break}s.push({command:y||h,points:g,start:{x:v,y:S},pathLength:this.calcLength(v,S,y||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=yn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,tc.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,tc.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l<f;l+=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(a*a)+f*f/(l*l);h>1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,y=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},v=function(T,P){return(T[0]*P[0]+T[1]*P[1])/(g(T)*g(P))},S=function(T,P){return(T[0]*P[1]<T[1]*P[0]?-1:1)*Math.acos(v(T,P))},w=S([1,0],[(d-m)/a,(f-b)/l]),C=[(d-m)/a,(f-b)/l],x=[(-1*d-m)/a,(-1*f-b)/l],A=S(C,x);return v(C,x)<=-1&&(A=Math.PI),v(C,x)>=1&&(A=0),s===0&&A>0&&(A=A-2*Math.PI),s===1&&A<0&&(A=A+2*Math.PI),[_,y,a,l,w,A,c,s]}}qd.Path=yn;yn.prototype.className="Path";yn.prototype._attrsAffectingSize=["data"];(0,zye._registerNode)(yn);Fye.Factory.addGetterSetter(yn,"data");Object.defineProperty(C_,"__esModule",{value:!0});C_.Arrow=void 0;const T_=Ne,Uye=wg,ZF=be,jye=Le,J8=qd;class ku extends Uye.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=J8.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=J8.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}C_.Arrow=ku;ku.prototype.className="Arrow";(0,jye._registerNode)(ku);T_.Factory.addGetterSetter(ku,"pointerLength",10,(0,ZF.getNumberValidator)());T_.Factory.addGetterSetter(ku,"pointerWidth",10,(0,ZF.getNumberValidator)());T_.Factory.addGetterSetter(ku,"pointerAtBeginning",!1);T_.Factory.addGetterSetter(ku,"pointerAtEnding",!0);var A_={};Object.defineProperty(A_,"__esModule",{value:!0});A_.Circle=void 0;const Vye=Ne,Gye=Cn,Hye=be,Wye=Le;let Kd=class extends Gye.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};A_.Circle=Kd;Kd.prototype._centroid=!0;Kd.prototype.className="Circle";Kd.prototype._attrsAffectingSize=["radius"];(0,Wye._registerNode)(Kd);Vye.Factory.addGetterSetter(Kd,"radius",0,(0,Hye.getNumberValidator)());var k_={};Object.defineProperty(k_,"__esModule",{value:!0});k_.Ellipse=void 0;const SE=Ne,qye=Cn,QF=be,Kye=Le;class cl extends qye.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}k_.Ellipse=cl;cl.prototype.className="Ellipse";cl.prototype._centroid=!0;cl.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,Kye._registerNode)(cl);SE.Factory.addComponentsGetterSetter(cl,"radius",["x","y"]);SE.Factory.addGetterSetter(cl,"radiusX",0,(0,QF.getNumberValidator)());SE.Factory.addGetterSetter(cl,"radiusY",0,(0,QF.getNumberValidator)());var P_={};Object.defineProperty(P_,"__esModule",{value:!0});P_.Image=void 0;const w2=Yt,Pu=Ne,Xye=Cn,Yye=Le,xg=be;let Jo=class JF extends Xye.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?w2.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?w2.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=w2.Util.createImageElement();i.onload=function(){var o=new JF({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};P_.Image=Jo;Jo.prototype.className="Image";(0,Yye._registerNode)(Jo);Pu.Factory.addGetterSetter(Jo,"cornerRadius",0,(0,xg.getNumberOrArrayOfNumbersValidator)(4));Pu.Factory.addGetterSetter(Jo,"image");Pu.Factory.addComponentsGetterSetter(Jo,"crop",["x","y","width","height"]);Pu.Factory.addGetterSetter(Jo,"cropX",0,(0,xg.getNumberValidator)());Pu.Factory.addGetterSetter(Jo,"cropY",0,(0,xg.getNumberValidator)());Pu.Factory.addGetterSetter(Jo,"cropWidth",0,(0,xg.getNumberValidator)());Pu.Factory.addGetterSetter(Jo,"cropHeight",0,(0,xg.getNumberValidator)());var Cd={};Object.defineProperty(Cd,"__esModule",{value:!0});Cd.Tag=Cd.Label=void 0;const O_=Ne,Zye=Cn,Qye=Hd,wE=be,eB=Le;var tB=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],Jye="Change.konva",eve="none",Jx="up",eC="right",tC="down",nC="left",tve=tB.length;class xE extends Qye.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<tve;r++)t.on(tB[r]+Jye,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case Jx:a=r/2,l=-1*u;break;case eC:a=r+s,l=i/2;break;case tC:a=r/2,l=i+u;break;case nC:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Cd.Label=xE;xE.prototype.className="Label";(0,eB._registerNode)(xE);class Ou extends Zye.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof a=="number"?l=u=c=d=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),d=Math.min(a[2]||0,n/2,r/2),c=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===Jx&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===eC&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===tC&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===nC&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===Jx?(n-=i,a+=i):o===tC?a+=i:o===nC?(t-=r*1.5,s+=r):o===eC&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Cd.Tag=Ou;Ou.prototype.className="Tag";(0,eB._registerNode)(Ou);O_.Factory.addGetterSetter(Ou,"pointerDirection",eve);O_.Factory.addGetterSetter(Ou,"pointerWidth",0,(0,wE.getNumberValidator)());O_.Factory.addGetterSetter(Ou,"pointerHeight",0,(0,wE.getNumberValidator)());O_.Factory.addGetterSetter(Ou,"cornerRadius",0,(0,wE.getNumberOrArrayOfNumbersValidator)(4));var Cg={};Object.defineProperty(Cg,"__esModule",{value:!0});Cg.Rect=void 0;const nve=Ne,rve=Cn,ive=Le,ove=Yt,sve=be;let R_=class extends rve.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?ove.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Cg.Rect=R_;R_.prototype.className="Rect";(0,ive._registerNode)(R_);nve.Factory.addGetterSetter(R_,"cornerRadius",0,(0,sve.getNumberOrArrayOfNumbersValidator)(4));var I_={};Object.defineProperty(I_,"__esModule",{value:!0});I_.RegularPolygon=void 0;const nB=Ne,ave=Cn,rB=be,lve=Le;class Ru extends ave.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}I_.RegularPolygon=Ru;Ru.prototype.className="RegularPolygon";Ru.prototype._centroid=!0;Ru.prototype._attrsAffectingSize=["radius"];(0,lve._registerNode)(Ru);nB.Factory.addGetterSetter(Ru,"radius",0,(0,rB.getNumberValidator)());nB.Factory.addGetterSetter(Ru,"sides",0,(0,rB.getNumberValidator)());var M_={};Object.defineProperty(M_,"__esModule",{value:!0});M_.Ring=void 0;const iB=Ne,uve=Cn,oB=be,cve=Le;var eP=Math.PI*2;class Iu extends uve.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,eP,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),eP,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}M_.Ring=Iu;Iu.prototype.className="Ring";Iu.prototype._centroid=!0;Iu.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,cve._registerNode)(Iu);iB.Factory.addGetterSetter(Iu,"innerRadius",0,(0,oB.getNumberValidator)());iB.Factory.addGetterSetter(Iu,"outerRadius",0,(0,oB.getNumberValidator)());var N_={};Object.defineProperty(N_,"__esModule",{value:!0});N_.Sprite=void 0;const Mu=Ne,dve=Cn,fve=Wd,sB=be,hve=Le;class es extends dve.Shape{constructor(t){super(t),this._updated=!0,this.anim=new fve.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(s){var f=s[n],h=r*2;t.drawImage(d,a,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,a,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],c=r*2;t.rect(u[c+0],u[c+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}N_.Sprite=es;es.prototype.className="Sprite";(0,hve._registerNode)(es);Mu.Factory.addGetterSetter(es,"animation");Mu.Factory.addGetterSetter(es,"animations");Mu.Factory.addGetterSetter(es,"frameOffsets");Mu.Factory.addGetterSetter(es,"image");Mu.Factory.addGetterSetter(es,"frameIndex",0,(0,sB.getNumberValidator)());Mu.Factory.addGetterSetter(es,"frameRate",17,(0,sB.getNumberValidator)());Mu.Factory.backCompat(es,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var D_={};Object.defineProperty(D_,"__esModule",{value:!0});D_.Star=void 0;const CE=Ne,pve=Cn,EE=be,gve=Le;class dl extends pve.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}D_.Star=dl;dl.prototype.className="Star";dl.prototype._centroid=!0;dl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,gve._registerNode)(dl);CE.Factory.addGetterSetter(dl,"numPoints",5,(0,EE.getNumberValidator)());CE.Factory.addGetterSetter(dl,"innerRadius",0,(0,EE.getNumberValidator)());CE.Factory.addGetterSetter(dl,"outerRadius",0,(0,EE.getNumberValidator)());var gu={};Object.defineProperty(gu,"__esModule",{value:!0});gu.Text=gu.stringToArray=void 0;const rC=Yt,Rr=Ne,mve=Cn,fl=be,yve=Le;function aB(e){return Array.from(e)}gu.stringToArray=aB;var nc="auto",vve="center",xf="justify",_ve="Change.konva",bve="2d",tP="-",lB="left",Sve="text",wve="Text",xve="top",Cve="bottom",nP="middle",uB="normal",Eve="px ",Nm=" ",Tve="right",Ave="word",kve="char",rP="none",x2="…",cB=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],Pve=cB.length;function Ove(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Dm;function C2(){return Dm||(Dm=rC.Util.createCanvasElement().getContext(bve),Dm)}function Rve(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function Ive(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function Mve(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}let un=class extends mve.Shape{constructor(t){super(Mve(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<Pve;n++)this.on(cB[n]+_ve,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,b,_=0,_=s/2,y=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",nP),t.setAttr("textAlign",lB),a===nP?l=(this.getHeight()-r*s-i*2)/2:a===Cve&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),b=0;b<r;b++){var y=0,g=0,v=n[b],S=v.text,w=v.width,C=v.lastInParagraph,x,A,T;if(t.save(),u===Tve?y+=c-w-i*2:u===vve&&(y+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(y,_+g+Math.round(o/2)),x=S.split(" ").length-1,A=x===0,T=u===xf&&!C?c-i*2:w,t.lineTo(y+Math.round(T),_+g+Math.round(o/2)),t.lineWidth=o/15;const N=this._getLinearGradient();t.strokeStyle=N||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(y,_+g),x=S.split(" ").length-1,A=x===0,T=u===xf&&C&&!A?c-i*2:w,t.lineTo(y+Math.round(T),_+g),t.lineWidth=o/15;const N=this._getLinearGradient();t.strokeStyle=N||f,t.stroke(),t.restore()}if(d!==0||u===xf){x=S.split(" ").length-1;for(var P=aB(S),L=0;L<P.length;L++){var R=P[L];R===" "&&!C&&u===xf&&(y+=(c-i*2-w)/x),this._partialTextX=y,this._partialTextY=_+g,this._partialText=R,t.fillStrokeShape(this),y+=this.measureSize(R).width+d}}else this._partialTextX=y,this._partialTextY=_+g,this._partialText=S,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=rC.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(Sve,n),this}getWidth(){var t=this.attrs.width===nc||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===nc||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return rC.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=C2(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+Nm+this.fontVariant()+Nm+(this.fontSize()+Eve)+Ove(this.fontFamily())}_addTextLine(t){this.align()===xf&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return C2().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
-`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==nc&&o!==void 0,l=s!==nc&&s!==void 0,u=this.padding(),c=o-u*2,d=s-u*2,f=0,h=this.wrap(),p=h!==rP,m=h!==kve&&p,b=this.ellipsis();this.textArr=[],C2().font=this._getContextFont();for(var _=b?this._getTextWidth(x2):0,y=0,g=t.length;y<g;++y){var v=t[y],S=this._getTextWidth(v);if(a&&S>c)for(;v.length>0;){for(var w=0,C=v.length,x="",A=0;w<C;){var T=w+C>>>1,P=v.slice(0,T+1),L=this._getTextWidth(P)+_;L<=c?(w=T+1,x=P,A=L):C=T}if(x){if(m){var R,E=v[x.length],k=E===Nm||E===tP;k&&A<=c?R=x.length:R=Math.max(x.lastIndexOf(Nm),x.lastIndexOf(tP))+1,R>0&&(w=R,x=x.slice(0,w),A=this._getTextWidth(x))}x=x.trimRight(),this._addTextLine(x),r=Math.max(r,A),f+=i;var N=this._shouldHandleEllipsis(f);if(N){this._tryToAddEllipsisToLastLine();break}if(v=v.slice(w),v=v.trimLeft(),v.length>0&&(S=this._getTextWidth(v),S<=c)){this._addTextLine(v),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(v),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&y<g-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&f+i>d)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==nc&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==rP;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==nc&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+x2)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+x2)}}getStrokeScaleEnabled(){return!0}};gu.Text=un;un.prototype._fillFunc=Rve;un.prototype._strokeFunc=Ive;un.prototype.className=wve;un.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,yve._registerNode)(un);Rr.Factory.overWriteSetter(un,"width",(0,fl.getNumberOrAutoValidator)());Rr.Factory.overWriteSetter(un,"height",(0,fl.getNumberOrAutoValidator)());Rr.Factory.addGetterSetter(un,"fontFamily","Arial");Rr.Factory.addGetterSetter(un,"fontSize",12,(0,fl.getNumberValidator)());Rr.Factory.addGetterSetter(un,"fontStyle",uB);Rr.Factory.addGetterSetter(un,"fontVariant",uB);Rr.Factory.addGetterSetter(un,"padding",0,(0,fl.getNumberValidator)());Rr.Factory.addGetterSetter(un,"align",lB);Rr.Factory.addGetterSetter(un,"verticalAlign",xve);Rr.Factory.addGetterSetter(un,"lineHeight",1,(0,fl.getNumberValidator)());Rr.Factory.addGetterSetter(un,"wrap",Ave);Rr.Factory.addGetterSetter(un,"ellipsis",!1,(0,fl.getBooleanValidator)());Rr.Factory.addGetterSetter(un,"letterSpacing",0,(0,fl.getNumberValidator)());Rr.Factory.addGetterSetter(un,"text","",(0,fl.getStringValidator)());Rr.Factory.addGetterSetter(un,"textDecoration","");var L_={};Object.defineProperty(L_,"__esModule",{value:!0});L_.TextPath=void 0;const E2=Yt,mo=Ne,Nve=Cn,Cf=qd,T2=gu,dB=be,Dve=Le;var Lve="",fB="normal";function hB(e){e.fillText(this.partialText,0,0)}function pB(e){e.strokeText(this.partialText,0,0)}class En extends Nve.Shape{constructor(t){super(t),this.dummyCanvas=E2.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Cf.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Cf.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Cf.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return E2.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return T2.Text.prototype.setText.call(this,t)}_getContextFont(){return T2.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,T2.stringToArray)(this.text());let u=a;for(var c=0;c<l.length;c++){const d=this._getPointAtLength(u);if(!d)return;let f=this._getTextSize(l[c]).width+r;if(l[c]===" "&&i==="justify"){const y=this.text().split(" ").length-1;f+=(this.pathLength-s)/y}const h=this._getPointAtLength(u+f);if(!h)return;const p=Cf.Path.getLineLength(d.x,d.y,h.x,h.y);let m=0;if(o)try{m=o(l[c-1],l[c])*this.fontSize()}catch{m=0}d.x+=m,h.x+=m,this.textWidth+=m;const b=Cf.Path.getPointOnLine(m+p/2,d.x,d.y,h.x,h.y),_=Math.atan2(h.y-d.y,h.x-d.x);this.glyphInfo.push({transposeX:b.x,transposeY:b.y,text:l[c],rotation:_,p0:d,p1:h}),u+=f}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(c){t.push(c.p0.x),t.push(c.p0.y),t.push(c.p1.x),t.push(c.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return E2.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}L_.TextPath=En;En.prototype._fillFunc=hB;En.prototype._strokeFunc=pB;En.prototype._fillFuncHit=hB;En.prototype._strokeFuncHit=pB;En.prototype.className="TextPath";En.prototype._attrsAffectingSize=["text","fontSize","data"];(0,Dve._registerNode)(En);mo.Factory.addGetterSetter(En,"data");mo.Factory.addGetterSetter(En,"fontFamily","Arial");mo.Factory.addGetterSetter(En,"fontSize",12,(0,dB.getNumberValidator)());mo.Factory.addGetterSetter(En,"fontStyle",fB);mo.Factory.addGetterSetter(En,"align","left");mo.Factory.addGetterSetter(En,"letterSpacing",0,(0,dB.getNumberValidator)());mo.Factory.addGetterSetter(En,"textBaseline","middle");mo.Factory.addGetterSetter(En,"fontVariant",fB);mo.Factory.addGetterSetter(En,"text",Lve);mo.Factory.addGetterSetter(En,"textDecoration",null);mo.Factory.addGetterSetter(En,"kerningFunc",null);var $_={};Object.defineProperty($_,"__esModule",{value:!0});$_.Transformer=void 0;const lt=Yt,at=Ne,iP=Ut,$ve=Cn,Fve=Cg,oP=Hd,Wi=Le,hl=be,Bve=Le;var gB="tr-konva",zve=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${gB}`).join(" "),sP="nodesRect",Uve=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],jve={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const Vve="ontouchstart"in Wi.Konva._global;function Gve(e,t){if(e==="rotater")return"crosshair";t+=lt.Util.degToRad(jve[e]||0);var n=(lt.Util.radToDeg(t)%360+360)%360;return lt.Util._inRange(n,315+22.5,360)||lt.Util._inRange(n,0,22.5)?"ns-resize":lt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":lt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":lt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":lt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":lt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":lt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":lt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(lt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var sv=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],aP=1e8;function Hve(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function mB(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Wve(e,t){const n=Hve(e);return mB(e,t,n)}function qve(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=Wi.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Je extends oP.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(zve,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return lt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return gB+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(lt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(Uve.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(sP),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(sP,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(Wi.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return mB(c,-Wi.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-aP,y:-aP,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new lt.Transform;r.rotate(-Wi.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:Wi.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),sv.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new Fve.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:Vve?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=Wi.Konva.getAngle(this.rotation()),o=Gve(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new $ve.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*lt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let R=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(R-=Math.PI);var f=Wi.Konva.getAngle(this.rotation());const E=f+R,k=Wi.Konva.getAngle(this.rotationSnapTolerance()),$=qve(this.rotationSnaps(),E,k)-d.rotation,M=Wve(d,$);this._fitNodesInto(M,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-right").x()<m.x?-1:1,_=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var y=o.position();this.findOne(".top-left").y(y.y),this.findOne(".bottom-right").x(y.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var b=m.x<o.x()?-1:1,_=o.y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,o.x(m.x-n),o.y(m.y+r)}y=o.position(),this.findOne(".top-left").x(y.x),this.findOne(".bottom-right").y(y.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var b=this.findOne(".bottom-right").x()<m.x?-1:1,_=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var v=this.findOne(".top-left"),S=this.findOne(".bottom-right"),w=v.x(),C=v.y(),x=this.getWidth()-S.x(),A=this.getHeight()-S.y();S.move({x:-w,y:-C}),v.move({x,y:A})}var T=this.findOne(".top-left").getAbsolutePosition();n=T.x,r=T.y;var P=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),L=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:P,height:L,rotation:Wi.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(lt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(lt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new lt.Transform;if(s.rotate(Wi.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:lt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new lt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new lt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new lt.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(lt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(lt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*lt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),oP.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return iP.Node.prototype.toObject.call(this)}clone(t){var n=iP.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}$_.Transformer=Je;function Kve(e){return e instanceof Array||lt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){sv.indexOf(t)===-1&&lt.Util.warn("Unknown anchor name: "+t+". Available names are: "+sv.join(", "))}),e||[]}Je.prototype.className="Transformer";(0,Bve._registerNode)(Je);at.Factory.addGetterSetter(Je,"enabledAnchors",sv,Kve);at.Factory.addGetterSetter(Je,"flipEnabled",!0,(0,hl.getBooleanValidator)());at.Factory.addGetterSetter(Je,"resizeEnabled",!0);at.Factory.addGetterSetter(Je,"anchorSize",10,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"rotateEnabled",!0);at.Factory.addGetterSetter(Je,"rotationSnaps",[]);at.Factory.addGetterSetter(Je,"rotateAnchorOffset",50,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"rotationSnapTolerance",5,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"borderEnabled",!0);at.Factory.addGetterSetter(Je,"anchorStroke","rgb(0, 161, 255)");at.Factory.addGetterSetter(Je,"anchorStrokeWidth",1,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"anchorFill","white");at.Factory.addGetterSetter(Je,"anchorCornerRadius",0,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"borderStroke","rgb(0, 161, 255)");at.Factory.addGetterSetter(Je,"borderStrokeWidth",1,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"borderDash");at.Factory.addGetterSetter(Je,"keepRatio",!0);at.Factory.addGetterSetter(Je,"shiftBehavior","default");at.Factory.addGetterSetter(Je,"centeredScaling",!1);at.Factory.addGetterSetter(Je,"ignoreStroke",!1);at.Factory.addGetterSetter(Je,"padding",0,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"node");at.Factory.addGetterSetter(Je,"nodes");at.Factory.addGetterSetter(Je,"boundBoxFunc");at.Factory.addGetterSetter(Je,"anchorDragBoundFunc");at.Factory.addGetterSetter(Je,"anchorStyleFunc");at.Factory.addGetterSetter(Je,"shouldOverdrawWholeArea",!1);at.Factory.addGetterSetter(Je,"useSingleNodeRotation",!0);at.Factory.backCompat(Je,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var F_={};Object.defineProperty(F_,"__esModule",{value:!0});F_.Wedge=void 0;const B_=Ne,Xve=Cn,Yve=Le,yB=be,Zve=Le;class qs extends Xve.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Yve.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}F_.Wedge=qs;qs.prototype.className="Wedge";qs.prototype._centroid=!0;qs.prototype._attrsAffectingSize=["radius"];(0,Zve._registerNode)(qs);B_.Factory.addGetterSetter(qs,"radius",0,(0,yB.getNumberValidator)());B_.Factory.addGetterSetter(qs,"angle",0,(0,yB.getNumberValidator)());B_.Factory.addGetterSetter(qs,"clockwise",!1);B_.Factory.backCompat(qs,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var z_={};Object.defineProperty(z_,"__esModule",{value:!0});z_.Blur=void 0;const lP=Ne,Qve=Ut,Jve=be;function uP(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var e1e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],t1e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function n1e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,y,g,v,S,w,C,x,A,T,P,L,R=t+t+1,E=r-1,k=i-1,N=t+1,$=N*(N+1)/2,M=new uP,O=null,D=M,F=null,U=null,V=e1e[t],q=t1e[t];for(a=1;a<R;a++)D=D.next=new uP,a===N&&(O=D);for(D.next=M,d=c=0,s=0;s<i;s++){for(v=S=w=C=f=h=p=m=0,b=N*(x=n[c]),_=N*(A=n[c+1]),y=N*(T=n[c+2]),g=N*(P=n[c+3]),f+=$*x,h+=$*A,p+=$*T,m+=$*P,D=M,a=0;a<N;a++)D.r=x,D.g=A,D.b=T,D.a=P,D=D.next;for(a=1;a<N;a++)l=c+((E<a?E:a)<<2),f+=(D.r=x=n[l])*(L=N-a),h+=(D.g=A=n[l+1])*L,p+=(D.b=T=n[l+2])*L,m+=(D.a=P=n[l+3])*L,v+=x,S+=A,w+=T,C+=P,D=D.next;for(F=M,U=O,o=0;o<r;o++)n[c+3]=P=m*V>>q,P!==0?(P=255/P,n[c]=(f*V>>q)*P,n[c+1]=(h*V>>q)*P,n[c+2]=(p*V>>q)*P):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=d+((l=o+t+1)<E?l:E)<<2,v+=F.r=n[l],S+=F.g=n[l+1],w+=F.b=n[l+2],C+=F.a=n[l+3],f+=v,h+=S,p+=w,m+=C,F=F.next,b+=x=U.r,_+=A=U.g,y+=T=U.b,g+=P=U.a,v-=x,S-=A,w-=T,C-=P,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(S=w=C=v=h=p=m=f=0,c=o<<2,b=N*(x=n[c]),_=N*(A=n[c+1]),y=N*(T=n[c+2]),g=N*(P=n[c+3]),f+=$*x,h+=$*A,p+=$*T,m+=$*P,D=M,a=0;a<N;a++)D.r=x,D.g=A,D.b=T,D.a=P,D=D.next;for(u=r,a=1;a<=t;a++)c=u+o<<2,f+=(D.r=x=n[c])*(L=N-a),h+=(D.g=A=n[c+1])*L,p+=(D.b=T=n[c+2])*L,m+=(D.a=P=n[c+3])*L,v+=x,S+=A,w+=T,C+=P,D=D.next,a<k&&(u+=r);for(c=o,F=M,U=O,s=0;s<i;s++)l=c<<2,n[l+3]=P=m*V>>q,P>0?(P=255/P,n[l]=(f*V>>q)*P,n[l+1]=(h*V>>q)*P,n[l+2]=(p*V>>q)*P):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=o+((l=s+N)<k?l:k)*r<<2,f+=v+=F.r=n[l],h+=S+=F.g=n[l+1],p+=w+=F.b=n[l+2],m+=C+=F.a=n[l+3],F=F.next,b+=x=U.r,_+=A=U.g,y+=T=U.b,g+=P=U.a,v-=x,S-=A,w-=T,C-=P,U=U.next,c+=r}}const r1e=function(t){var n=Math.round(this.blurRadius());n>0&&n1e(t,n)};z_.Blur=r1e;lP.Factory.addGetterSetter(Qve.Node,"blurRadius",0,(0,Jve.getNumberValidator)(),lP.Factory.afterSetFilter);var U_={};Object.defineProperty(U_,"__esModule",{value:!0});U_.Brighten=void 0;const cP=Ne,i1e=Ut,o1e=be,s1e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};U_.Brighten=s1e;cP.Factory.addGetterSetter(i1e.Node,"brightness",0,(0,o1e.getNumberValidator)(),cP.Factory.afterSetFilter);var j_={};Object.defineProperty(j_,"__esModule",{value:!0});j_.Contrast=void 0;const dP=Ne,a1e=Ut,l1e=be,u1e=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};j_.Contrast=u1e;dP.Factory.addGetterSetter(a1e.Node,"contrast",0,(0,l1e.getNumberValidator)(),dP.Factory.afterSetFilter);var V_={};Object.defineProperty(V_,"__esModule",{value:!0});V_.Emboss=void 0;const Ya=Ne,G_=Ut,c1e=Yt,vB=be,d1e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:c1e.Util.error("Unknown emboss direction: 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o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const p1e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<s?s=l:l>a&&(a=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,y,g,v,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),y=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,y=a+h*(a-_),g=s+h*(s-_),v=(c+u)*.5,S=c+h*(c-v),w=u+h*(u-v)),f=0;f<n;f+=4)t[f+0]=A2(t[f+0],r,i,b,m),t[f+1]=A2(t[f+1],s,a,g,y),t[f+2]=A2(t[f+2],u,c,w,S)}};H_.Enhance=p1e;fP.Factory.addGetterSetter(f1e.Node,"enhance",0,(0,h1e.getNumberValidator)(),fP.Factory.afterSetFilter);var W_={};Object.defineProperty(W_,"__esModule",{value:!0});W_.Grayscale=void 0;const g1e=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};W_.Grayscale=g1e;var 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K_={};Object.defineProperty(K_,"__esModule",{value:!0});K_.HSV=void 0;const Td=Ne,kE=Ut,PE=be,y1e=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,c=.587*r-.587*a+.33*l,d=.114*r-.114*a-.497*l,f=.299*r-.299*a-.328*l,h=.587*r+.413*a+.035*l,p=.114*r-.114*a+.293*l,m=.299*r-.3*a+1.25*l,b=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,y,g,v,S;for(s=0;s<n;s+=4)y=t[s+0],g=t[s+1],v=t[s+2],S=t[s+3],t[s+0]=u*y+c*g+d*v,t[s+1]=f*y+h*g+p*v,t[s+2]=m*y+b*g+_*v,t[s+3]=S};K_.HSV=y1e;Td.Factory.addGetterSetter(kE.Node,"hue",0,(0,PE.getNumberValidator)(),Td.Factory.afterSetFilter);Td.Factory.addGetterSetter(kE.Node,"saturation",0,(0,PE.getNumberValidator)(),Td.Factory.afterSetFilter);Td.Factory.addGetterSetter(kE.Node,"value",0,(0,PE.getNumberValidator)(),Td.Factory.afterSetFilter);var X_={};Object.defineProperty(X_,"__esModule",{value:!0});X_.Invert=void 0;const v1e=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};X_.Invert=v1e;var Y_={};Object.defineProperty(Y_,"__esModule",{value:!0});Y_.Kaleidoscope=void 0;const av=Ne,_B=Ut,hP=Yt,bB=be;var _1e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f=0,h=0,p=0,m=0,b,_=Math.sqrt(a*a+l*l);c=o-a,d=s-l,b=Math.sqrt(c*c+d*d),_=b>_?b:_;var y=s,g=o,v,S,w=360/g*Math.PI/180,C,x;for(S=0;S<g;S+=1)for(C=Math.sin(S*w),x=Math.cos(S*w),v=0;v<y;v+=1)c=Math.floor(a+_*v/y*x),d=Math.floor(l+_*v/y*C),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(S+v*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},b1e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f,h,p=0,m=0,b=0,_=0,y,g=Math.sqrt(a*a+l*l);c=o-a,d=s-l,y=Math.sqrt(c*c+d*d),g=y>g?y:g;var 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g=y,v=0,S=g,w=1;for(m+y>t&&(v=g,S=0,w=-1),i=0;i<n;i+=1)for(r=v;r!==S;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+r)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(y),s=0;s<h;s+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+g*2-r-1)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;g*=2}b1e(_,e,{polarRotation:0})}};Y_.Kaleidoscope=S1e;av.Factory.addGetterSetter(_B.Node,"kaleidoscopePower",2,(0,bB.getNumberValidator)(),av.Factory.afterSetFilter);av.Factory.addGetterSetter(_B.Node,"kaleidoscopeAngle",0,(0,bB.getNumberValidator)(),av.Factory.afterSetFilter);var Z_={};Object.defineProperty(Z_,"__esModule",{value:!0});Z_.Mask=void 0;const pP=Ne,w1e=Ut,x1e=be;function Lm(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function Ef(e,t){return 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r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c>=255*4?255:0}return s}function P1e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c}return s}const O1e=function(e){var t=this.threshold(),n=E1e(e,t);return n&&(n=A1e(n,e.width,e.height),n=k1e(n,e.width,e.height),n=P1e(n,e.width,e.height),T1e(e,n)),e};Z_.Mask=O1e;pP.Factory.addGetterSetter(w1e.Node,"threshold",0,(0,x1e.getNumberValidator)(),pP.Factory.afterSetFilter);var Q_={};Object.defineProperty(Q_,"__esModule",{value:!0});Q_.Noise=void 0;const gP=Ne,R1e=Ut,I1e=be,M1e=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};Q_.Noise=M1e;gP.Factory.addGetterSetter(R1e.Node,"noise",.2,(0,I1e.getNumberValidator)(),gP.Factory.afterSetFilter);var J_={};Object.defineProperty(J_,"__esModule",{value:!0});J_.Pixelate=void 0;const mP=Ne,N1e=Yt,D1e=Ut,L1e=be,$1e=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,b,_,y,g,v=e.data;if(t<=0){N1e.Util.error("pixelSize value can not be <= 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t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};tb.RGB=j1e;lv.Factory.addGetterSetter(OE.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});lv.Factory.addGetterSetter(OE.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});lv.Factory.addGetterSetter(OE.Node,"blue",0,U1e.RGBComponent,lv.Factory.afterSetFilter);var nb={};Object.defineProperty(nb,"__esModule",{value:!0});nb.RGBA=void 0;const xp=Ne,rb=Ut,V1e=be,G1e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};nb.RGBA=G1e;xp.Factory.addGetterSetter(rb.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});xp.Factory.addGetterSetter(rb.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});xp.Factory.addGetterSetter(rb.Node,"blue",0,V1e.RGBComponent,xp.Factory.afterSetFilter);xp.Factory.addGetterSetter(rb.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var ib={};Object.defineProperty(ib,"__esModule",{value:!0});ib.Sepia=void 0;const H1e=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};ib.Sepia=H1e;var ob={};Object.defineProperty(ob,"__esModule",{value:!0});ob.Solarize=void 0;const W1e=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};ob.Solarize=W1e;var sb={};Object.defineProperty(sb,"__esModule",{value:!0});sb.Threshold=void 0;const vP=Ne,q1e=Ut,K1e=be,X1e=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};sb.Threshold=X1e;vP.Factory.addGetterSetter(q1e.Node,"threshold",.5,(0,K1e.getNumberValidator)(),vP.Factory.afterSetFilter);Object.defineProperty(g_,"__esModule",{value:!0});g_.Konva=void 0;const 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R_e=mE.exports;Object.defineProperty(R_e,"__esModule",{value:!0});const I_e=g_;mE.exports=I_e.Konva;var M_e=mE.exports;const Tf=vu(M_e),N_e=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new Tf.Stage({container:o,width:r,height:i}),a=new Tf.Layer,l=new Tf.Layer;return a.add(new Tf.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new Tf.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},D_e=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),SP=async(e,t)=>{const n=e.toDataURL(t);return await D_e(n,t.width,t.height)},RE=async(e,t,n,r,i)=>{const o=re("canvas"),s=h_(),a=P0e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const c=u.getAbsolutePosition(),d={x:l.x+c.x,y:l.y+c.y,width:l.width,height:l.height},f=await iv(u,d),h=await SP(u,d),p=await N_e(r?e.objects.filter(uN):[],l,i),m=await iv(p,l),b=await SP(p,l);return{baseBlob:f,baseImageData:h,maskBlob:m,maskImageData:b}},L_e=()=>{le({actionCreator:w0e,effect:async(e,{dispatch:t,getState:n})=>{const r=re("canvas"),i=n(),o=await RE(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Wt({title:"Problem Saving Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery;t(ne.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Saved to Assets"}}}))}})},$_e=()=>{le({actionCreator:A0e,effect:async(e,{dispatch:t,getState:n})=>{const r=re("canvas"),i=n(),o=await RE(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Wt({title:"Problem Importing Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery,l=await t(ne.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Sent to ControlNet & 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i=t.controlNet.controlNets[e.payload.controlNetId];if(!i)return!1;const{controlImage:o,processorType:s,shouldAutoConfig:a}=i;if(gk.match(e)&&!a)return!1;const l=s!=="none",u=t.system.isProcessing;return l&&!u&&!!o},j_e=()=>{le({predicate:U_e,effect:async(e,{dispatch:t,cancelActiveListeners:n,delay:r})=>{const i=re("session"),{controlNetId:o}=e.payload;n(),i.trace("ControlNet auto-process triggered"),await r(300),t(U5({controlNetId:o}))}})},Nu=me("system/sessionReadyToInvoke"),SB=e=>(e==null?void 0:e.type)==="image_output",V_e=()=>{le({actionCreator:U5,effect:async(e,{dispatch:t,getState:n,take:r})=>{const i=re("session"),{controlNetId:o}=e.payload,s=n().controlNet.controlNets[o];if(!(s!=null&&s.controlImage)){i.error("Unable to process ControlNet image");return}const a={nodes:{[s.processorNode.id]:{...s.processorNode,is_intermediate:!0,image:{image_name:s.controlImage}}}},l=t(er({graph:a})),[u]=await r(f=>er.fulfilled.match(f)&&f.meta.requestId===l.requestId),c=u.payload.id;t(Nu());const[d]=await r(f=>F5.match(f)&&f.payload.data.graph_execution_state_id===c);if(SB(d.payload.data.result)){const{image_name:f}=d.payload.data.result.image,[{payload:h}]=await r(m=>ne.endpoints.getImageDTO.matchFulfilled(m)&&m.payload.image_name===f),p=h;i.debug({controlNetId:e.payload,processedControlImage:p},"ControlNet image processed"),t(j5({controlNetId:o,processedControlImage:p.image_name}))}}})},G_e=()=>{le({matcher:ne.endpoints.addImageToBoard.matchFulfilled,effect:e=>{const t=re("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Image added to board")}})},H_e=()=>{le({matcher:ne.endpoints.addImageToBoard.matchRejected,effect:e=>{const t=re("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Problem adding image to 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o=n(),s=wB(o),{data:a}=ne.endpoints.listImages.select(s)(o),l=a?Tt.getSelectors().selectAll(a)[0]:void 0;t(jo(l||null)),t(V5(!1)),i.some(u=>u.isCanvasImage)&&t(y5()),r.forEach(u=>{var c;((c=n().generation.initialImage)==null?void 0:c.imageName)===u.image_name&&t(m5()),Ii(n().controlNet.controlNets,d=>{(d.controlImage===u.image_name||d.processedControlImage===u.image_name)&&(t(Eu({controlNetId:d.controlNetId,controlImage:null})),t(j5({controlNetId:d.controlNetId,processedControlImage:null})))}),n().nodes.nodes.forEach(d=>{An(d)&&Ii(d.data.inputs,f=>{var h;f.type==="ImageField"&&((h=f.value)==null?void 0:h.image_name)===u.image_name&&t(G1({nodeId:d.data.id,fieldName:f.name,value:void 0}))})})})}catch{}}})},K_e=()=>{le({matcher:ne.endpoints.deleteImage.matchPending,effect:()=>{}})},X_e=()=>{le({matcher:ne.endpoints.deleteImage.matchFulfilled,effect:e=>{re("images").debug({imageDTO:e.meta.arg.originalArgs},"Image deleted")}})},Y_e=()=>{le({matcher:ne.endpoints.deleteImage.matchRejected,effect:e=>{re("images").debug({imageDTO:e.meta.arg.originalArgs},"Unable to delete image")}})},kt=e=>{try{return JSON.parse(JSON.stringify(e))}catch{return"Error parsing object"}},xB=me("dnd/dndDropped"),Z_e=()=>{le({actionCreator:xB,effect:async(e,{dispatch:t})=>{const n=re("dnd"),{activeData:r,overData:i}=e.payload;if(r.payloadType==="IMAGE_DTO"?n.debug({activeData:r,overData:i},"Image dropped"):r.payloadType==="IMAGE_DTOS"?n.debug({activeData:r,overData:i},`Images (${r.payload.imageDTOs.length}) dropped`):r.payloadType==="NODE_FIELD"?n.debug({activeData:kt(r),overData:kt(i)},"Node field dropped"):n.debug({activeData:r,overData:i},"Unknown payload 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t=re("images"),n=e.meta.arg.originalArgs;t.debug({imageDTO:n},"Image removed from board")}})},J_e=()=>{le({matcher:ne.endpoints.removeImageFromBoard.matchRejected,effect:e=>{const t=re("images"),n=e.meta.arg.originalArgs;t.debug({imageDTO:n},"Problem removing image from board")}})},ebe=()=>{le({actionCreator:Wae,effect:async(e,{dispatch:t,getState:n})=>{const r=e.payload,i=n(),{shouldConfirmOnDelete:o}=i.system,s=v0e(n()),a=s.some(l=>l.isCanvasImage)||s.some(l=>l.isInitialImage)||s.some(l=>l.isControlNetImage)||s.some(l=>l.isNodesImage);if(o||a){t(V5(!0));return}t(IE({imageDTOs:r,imagesUsage:s}))}})},rc={title:"Image Uploaded",status:"success"},tbe=()=>{le({matcher:ne.endpoints.uploadImage.matchFulfilled,effect:(e,{dispatch:t,getState:n})=>{const r=re("images"),i=e.payload,o=n(),{autoAddBoardId:s}=o.gallery;r.debug({imageDTO:i},"Image uploaded");const{postUploadAction:a}=e.meta.arg.originalArgs;if(!(e.payload.is_intermediate&&!a)){if((a==null?void 0:a.type)==="TOAST"){const{toastOptions:l}=a;if(!s||s==="none")t(Wt({...rc,...l}));else{t(ne.endpoints.addImageToBoard.initiate({board_id:s,imageDTO:i}));const{data:u}=Wn.endpoints.listAllBoards.select()(o),c=u==null?void 0:u.find(f=>f.board_id===s),d=c?`Added to board ${c.board_name}`:`Added to board ${s}`;t(Wt({...rc,description:d}))}return}if((a==null?void 0:a.type)==="SET_CANVAS_INITIAL_IMAGE"){t(fN(i)),t(Wt({...rc,description:"Set as canvas initial image"}));return}if((a==null?void 0:a.type)==="SET_CONTROLNET_IMAGE"){const{controlNetId:l}=a;t(Eu({controlNetId:l,controlImage:i.image_name})),t(Wt({...rc,description:"Set as control image"}));return}if((a==null?void 0:a.type)==="SET_INITIAL_IMAGE"){t(d1(i)),t(Wt({...rc,description:"Set as initial image"}));return}if((a==null?void 0:a.type)==="SET_NODES_IMAGE"){const{nodeId:l,fieldName:u}=a;t(G1({nodeId:l,fieldName:u,value:i})),t(Wt({...rc,description:`Set as node field 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Failed",description:e.error.message,status:"error"}))}})},rbe=()=>{le({matcher:ne.endpoints.starImages.matchFulfilled,effect:async(e,{dispatch:t,getState:n})=>{const{updated_image_names:r}=e.payload,i=n(),{selection:o}=i.gallery,s=[];o.forEach(a=>{r.includes(a.image_name)?s.push({...a,starred:!0}):s.push(a)}),t(mL(s))}})},ibe=()=>{le({matcher:ne.endpoints.unstarImages.matchFulfilled,effect:async(e,{dispatch:t,getState:n})=>{const{updated_image_names:r}=e.payload,i=n(),{selection:o}=i.gallery,s=[];o.forEach(a=>{r.includes(a.image_name)?s.push({...a,starred:!1}):s.push(a)}),t(mL(s))}})},obe=me("generation/initialImageSelected"),sbe=me("generation/modelSelected"),abe=()=>{le({actionCreator:obe,effect:(e,{dispatch:t})=>{if(!e.payload){t(Wt(Sa({title:sh("toast.imageNotLoadedDesc"),status:"error"})));return}t(d1(e.payload)),t(Wt(Sa(sh("toast.sentToImageToImage"))))}})},lbe=()=>{le({actionCreator:sbe,effect:(e,{getState:t,dispatch:n})=>{var l,u;const 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E=b,k={id:lb,nodes:{[R]:{type:"main_model_loader",id:R,is_intermediate:!0,model:s},[Qe]:{type:"clip_skip",id:Qe,is_intermediate:!0,skipped_layers:S},[ye]:{type:"compel",id:ye,is_intermediate:!0,prompt:i},[ve]:{type:"compel",id:ve,is_intermediate:!0,prompt:o},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:_,blur_type:y},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:p==="fp32"},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:p==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:E,is_intermediate:!0},[ge]:{type:"denoise_latents",id:ge,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[ct]:{type:"noise",id:ae,use_cpu:E,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:ge,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:p==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!L,reference:t},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:d,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ge,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ge,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ge,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(["auto","manual"].includes(P)){const N=T.width,$=T.height;k.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:N,height:$,image:t},k.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:N,height:$,image:n},k.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:x,height:A},k.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:x,height:A},k.nodes[ae].width=N,k.nodes[ae].height=$,k.nodes[ct].width=N,k.nodes[ct].height=$,k.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Cr,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else k.nodes[ae].width=x,k.nodes[ae].height=A,k.nodes[ct].width=x,k.nodes[ct].height=A,k.nodes[Ot]={...k.nodes[Ot],image:t},k.nodes[Ke]={...k.nodes[Ke],image:n},k.nodes[mt]={...k.nodes[mt],image:t},k.edges.push({source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ie,field:"mask"}});if(h){const N={id:_n,type:"rand_int"};k.nodes[_n]=N,k.edges.push({source:{node_id:_n,field:"value"},destination:{node_id:Bt,field:"start"}})}else k.nodes[Bt].start=f;return(w||C)&&(Bi(e,k,R),R=Sn),zi(e,k,R),Xd(e,k,ge,R),$i(e,k,ge),e.system.shouldUseNSFWChecker&&Fi(e,k,ie),e.system.shouldUseWatermarker&&Ui(e,k,ie),k},MSe=(e,t,n)=>{const r=re("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,maskBlurMethod:y,canvasCoherenceSteps:g,canvasCoherenceStrength:v,tileSize:S,infillMethod:w,clipSkip:C,seamlessXAxis:x,seamlessYAxis:A}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:T,height:P}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:L,boundingBoxScaleMethod:R,shouldAutoSave:E}=e.canvas;let k=pl;const N=b,$={id:ub,nodes:{[k]:{type:"main_model_loader",id:k,is_intermediate:!0,model:s},[Qe]:{type:"clip_skip",id:Qe,is_intermediate:!0,skipped_layers:C},[ye]:{type:"compel",id:ye,is_intermediate:!0,prompt:i},[ve]:{type:"compel",id:ve,is_intermediate:!0,prompt:o},[Zc]:{type:"tomask",id:Zc,is_intermediate:!0,image:t},[Mo]:{type:"mask_combine",id:Mo,is_intermediate:!0,mask2:n},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:_,blur_type:y},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:p==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:p==="fp32"},[ge]:{type:"denoise_latents",id:ge,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[ct]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:We,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:p==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!E},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:d,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:k,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:k,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:Zc,field:"image"},destination:{node_id:Mo,field:"mask1"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ge,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ge,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:k,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ge,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(w==="patchmatch"&&($.nodes[ut]={type:"infill_patchmatch",id:ut,is_intermediate:!0}),w==="lama"&&($.nodes[ut]={type:"infill_lama",id:ut,is_intermediate:!0}),w==="tile"&&($.nodes[ut]={type:"infill_tile",id:ut,is_intermediate:!0,tile_size:S}),["auto","manual"].includes(R)){const M=L.width,O=L.height;$.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:M,height:O,image:t},$.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:M,height:O},$.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:T,height:P},$.nodes[wa]={type:"img_resize",id:wa,is_intermediate:!0,width:T,height:P},$.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:T,height:P},$.nodes[ae].width=M,$.nodes[ae].height=O,$.nodes[ct].width=M,$.nodes[ct].height=O,$.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Mo,field:"image"},destination:{node_id:lr,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wa,field:"image"}},{source:{node_id:wa,field:"image"},destination:{node_id:ie,field:"reference"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else 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l=r;[Sn,gs].includes(r)&&(l=Yn),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;Ii(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${EB}_${f.replace(".","_")}`,b={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};s&&(s.loras||(s.loras=[]),s.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=b,c===0?(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[mu,yu].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:We,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:ye,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:ve,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:ye,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:ve,field:"clip2"}})),u=m,c+=1})},Du=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},Zd=(e,t,n,r,i)=>{const{refinerModel:o,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:a,refinerSteps:l,refinerScheduler:u,refinerCFGScale:c,refinerStart:d}=e.sdxl,{seamlessXAxis:f,seamlessYAxis:h,vaePrecision:p}=e.generation,{boundingBoxScaleMethod:m}=e.canvas,b=["auto","manual"].includes(m);if(!o)return;const _=t.nodes[Fe];_&&(_.refiner_model=o,_.refiner_positive_aesthetic_store=s,_.refiner_negative_aesthetic_store=a,_.refiner_cfg_scale=c,_.refiner_scheduler=u,_.refiner_start=d,_.refiner_steps=l);const y=r||Yn,{craftedPositiveStylePrompt:g,craftedNegativeStylePrompt:v}=Du(e,!0);t.edges=t.edges.filter(S=>!(S.source.node_id===n&&["latents"].includes(S.source.field))),t.edges=t.edges.filter(S=>!(S.source.node_id===y&&["vae"].includes(S.source.field))),t.nodes[Tl]={type:"sdxl_refiner_model_loader",id:Tl,model:o},t.nodes[Fm]={type:"sdxl_refiner_compel_prompt",id:Fm,style:g,aesthetic_score:s},t.nodes[Bm]={type:"sdxl_refiner_compel_prompt",id:Bm,style:v,aesthetic_score:a},t.nodes[So]={type:"denoise_latents",id:So,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[eo]={id:eo,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:Tl,field:"unet"},destination:{node_id:eo,field:"unet"}},{source:{node_id:Tl,field:"vae"},destination:{node_id:eo,field:"vae"}},{source:{node_id:eo,field:"unet"},destination:{node_id:So,field:"unet"}})):t.edges.push({source:{node_id:Tl,field:"unet"},destination:{node_id:So,field:"unet"}}),t.edges.push({source:{node_id:Tl,field:"clip2"},destination:{node_id:Fm,field:"clip2"}},{source:{node_id:Tl,field:"clip2"},destination:{node_id:Bm,field:"clip2"}},{source:{node_id:Fm,field:"conditioning"},destination:{node_id:So,field:"positive_conditioning"}},{source:{node_id:Bm,field:"conditioning"},destination:{node_id:So,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:So,field:"latents"}}),(t.id===mu||t.id===yu)&&(t.nodes[gs]={type:"create_denoise_mask",id:gs,is_intermediate:!0,fp32:p==="fp32"},b?t.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:gs,field:"image"}}):t.nodes[gs]={...t.nodes[gs],image:i},t.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:gs,field:"mask"}},{source:{node_id:gs,field:"denoise_mask"},destination:{node_id:So,field:"denoise_mask"}})),t.id===cb||t.id===Ep?t.edges.push({source:{node_id:So,field:"latents"},destination:{node_id:b?Se:ie,field:"latents"}}):t.edges.push({source:{node_id:So,field:"latents"},destination:{node_id:Se,field:"latents"}})},NSe=(e,t)=>{const n=re("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:y}=e.sdxl,{width:g,height:v}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:C}=e.canvas,x=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let A=Yn;const T=f?d:po.shouldUseCpuNoise,{craftedPositiveStylePrompt:P,craftedNegativeStylePrompt:L}=Du(e,y),R={id:Ep,nodes:{[A]:{type:"sdxl_model_loader",id:A,model:o},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:r,style:P},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:i,style:L},[ae]:{type:"noise",id:ae,is_intermediate:!0,use_cpu:T,width:x?S.width:g,height:x?S.height:v},[Pt]:{type:"i2l",id:Pt,is_intermediate:!0,fp32:u==="fp32"},[ce]:{type:"denoise_latents",id:ce,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:A,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Pt,field:"latents"},destination:{node_id:ce,field:"latents"}}]};return x?(R.nodes[Yc]={id:Yc,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},R.nodes[Se]={id:Se,type:"l2i",is_intermediate:!0,fp32:u==="fp32"},R.nodes[ie]={id:ie,type:"img_resize",is_intermediate:!C,width:g,height:v},R.edges.push({source:{node_id:Yc,field:"image"},destination:{node_id:Pt,field:"image"}},{source:{node_id:ce,field:"latents"},destination:{node_id:Se,field:"latents"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}})):(R.nodes[ie]={type:"l2i",id:ie,is_intermediate:!C,fp32:u==="fp32"},R.nodes[Pt].image=t,R.edges.push({source:{node_id:ce,field:"latents"},destination:{node_id:ie,field:"latents"}})),R.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:x?S.width:g,height:x?S.height:v,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:T?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},R.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:ie,field:"metadata"}}),(h||p)&&(Bi(e,R,A),A=Sn),m&&(Zd(e,R,ce,A),(h||p)&&(A=eo)),zi(e,R,A),Yd(e,R,ce,A),gl(e,R),$i(e,R,ce),e.system.shouldUseNSFWChecker&&Fi(e,R,ie),e.system.shouldUseWatermarker&&Ui(e,R,ie),R},DSe=(e,t,n)=>{const r=re("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceSteps:y,canvasCoherenceStrength:g,seamlessXAxis:v,seamlessYAxis:S}=e.generation,{sdxlImg2ImgDenoisingStrength:w,shouldUseSDXLRefiner:C,refinerStart:x,shouldConcatSDXLStylePrompt:A}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:T,height:P}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:L,boundingBoxScaleMethod:R,shouldAutoSave:E}=e.canvas;let k=Yn;const N=m,{craftedPositiveStylePrompt:$,craftedNegativeStylePrompt:M}=Du(e,A),O={id:mu,nodes:{[k]:{type:"sdxl_model_loader",id:k,model:s},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:i,style:$},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:o,style:M},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:b,blur_type:_},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:h==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:h==="fp32"},[ce]:{type:"denoise_latents",id:ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:C?Math.min(x,1-w):1-w,denoising_end:C?x:1},[ct]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:ce,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:h==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!E,reference:t},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:c,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:k,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:k,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:k,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:k,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:k,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ce,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ce,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:k,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ce,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(["auto","manual"].includes(R)){const D=L.width,F=L.height;O.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:D,height:F,image:t},O.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:D,height:F,image:n},O.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:T,height:P},O.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:T,height:P},O.nodes[ae].width=D,O.nodes[ae].height=F,O.nodes[ct].width=D,O.nodes[ct].height=F,O.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Cr,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else O.nodes[ae].width=T,O.nodes[ae].height=P,O.nodes[ct].width=T,O.nodes[ct].height=P,O.nodes[Ot]={...O.nodes[Ot],image:t},O.nodes[Ke]={...O.nodes[Ke],image:n},O.nodes[mt]={...O.nodes[mt],image:t},O.edges.push({source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ie,field:"mask"}});if(f){const D={id:_n,type:"rand_int"};O.nodes[_n]=D,O.edges.push({source:{node_id:_n,field:"value"},destination:{node_id:Bt,field:"start"}})}else O.nodes[Bt].start=d;return(v||S)&&(Bi(e,O,k),k=Sn),C&&(Zd(e,O,We,k,t),(v||S)&&(k=eo)),zi(e,O,k),Yd(e,O,ce,k),$i(e,O,ce),e.system.shouldUseNSFWChecker&&Fi(e,O,ie),e.system.shouldUseWatermarker&&Ui(e,O,ie),O},LSe=(e,t,n)=>{const r=re("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceSteps:y,canvasCoherenceStrength:g,tileSize:v,infillMethod:S,seamlessXAxis:w,seamlessYAxis:C}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:A,refinerStart:T,shouldConcatSDXLStylePrompt:P}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:L,height:R}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:E,boundingBoxScaleMethod:k,shouldAutoSave:N}=e.canvas;let $=Yn;const M=m,{craftedPositiveStylePrompt:O,craftedNegativeStylePrompt:D}=Du(e,P),F={id:yu,nodes:{[Yn]:{type:"sdxl_model_loader",id:Yn,model:s},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:i,style:O},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:o,style:D},[Zc]:{type:"tomask",id:Zc,is_intermediate:!0,image:t},[Mo]:{type:"mask_combine",id:Mo,is_intermediate:!0,mask2:n},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:b,blur_type:_},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:h==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:M,is_intermediate:!0},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:h==="fp32"},[ce]:{type:"denoise_latents",id:ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:A?Math.min(T,1-x):1-x,denoising_end:A?T:1},[ct]:{type:"noise",id:ae,use_cpu:M,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:We,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:h==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!N},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:c,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:Yn,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:Yn,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Yn,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:Yn,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:Yn,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:Zc,field:"image"},destination:{node_id:Mo,field:"mask1"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ce,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ce,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:Yn,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ce,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(S==="patchmatch"&&(F.nodes[ut]={type:"infill_patchmatch",id:ut,is_intermediate:!0}),S==="lama"&&(F.nodes[ut]={type:"infill_lama",id:ut,is_intermediate:!0}),S==="tile"&&(F.nodes[ut]={type:"infill_tile",id:ut,is_intermediate:!0,tile_size:v}),["auto","manual"].includes(k)){const U=E.width,V=E.height;F.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:U,height:V,image:t},F.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:U,height:V},F.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:L,height:R},F.nodes[wa]={type:"img_resize",id:wa,is_intermediate:!0,width:L,height:R},F.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:L,height:R},F.nodes[ae].width=U,F.nodes[ae].height=V,F.nodes[ct].width=U,F.nodes[ct].height=V,F.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Mo,field:"image"},destination:{node_id:lr,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wa,field:"image"}},{source:{node_id:wa,field:"image"},destination:{node_id:ie,field:"reference"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else F.nodes[ut]={...F.nodes[ut],image:t},F.nodes[ae].width=L,F.nodes[ae].height=R,F.nodes[ct].width=L,F.nodes[ct].height=R,F.nodes[Ot]={...F.nodes[Ot],image:t},F.nodes[Ke]={...F.nodes[Ke]},F.edges.push({source:{node_id:Mo,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:ie,field:"reference"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ie,field:"mask"}});if(f){const U={id:_n,type:"rand_int"};F.nodes[_n]=U,F.edges.push({source:{node_id:_n,field:"value"},destination:{node_id:Bt,field:"start"}})}else F.nodes[Bt].start=d;return(w||C)&&(Bi(e,F,$),$=Sn),A&&(Zd(e,F,We,$,t),(w||C)&&($=eo)),zi(e,F,$),Yd(e,F,ce,$),$i(e,F,ce),e.system.shouldUseNSFWChecker&&Fi(e,F,ie),e.system.shouldUseWatermarker&&Ui(e,F,ie),F},$Se=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=["auto","manual"].includes(_),{shouldUseSDXLRefiner:v,refinerStart:S,shouldConcatSDXLStylePrompt:w}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const C=d?c:po.shouldUseCpuNoise,x=i.model_type==="onnx";let A=x?ab:Yn;const T=x?"onnx_model_loader":"sdxl_model_loader",P=x?{type:"t2l_onnx",id:ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:v?S:1},{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:R}=Du(e,w),E={id:cb,nodes:{[A]:{type:T,id:A,is_intermediate:!0,model:i},[ye]:{type:x?"prompt_onnx":"sdxl_compel_prompt",id:ye,is_intermediate:!0,prompt:n,style:L},[ve]:{type:x?"prompt_onnx":"sdxl_compel_prompt",id:ve,is_intermediate:!0,prompt:r,style:R},[ae]:{type:"noise",id:ae,is_intermediate:!0,width:g?b.width:p,height:g?b.height:m,use_cpu:C},[P.id]:P},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:A,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}}]};return g?(E.nodes[Se]={id:Se,type:x?"l2i_onnx":"l2i",is_intermediate:!0,fp32:l==="fp32"},E.nodes[ie]={id:ie,type:"img_resize",is_intermediate:!y,width:p,height:m},E.edges.push({source:{node_id:ce,field:"latents"},destination:{node_id:Se,field:"latents"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}})):(E.nodes[ie]={type:x?"l2i_onnx":"l2i",id:ie,is_intermediate:!y,fp32:l==="fp32"},E.edges.push({source:{node_id:ce,field:"latents"},destination:{node_id:ie,field:"latents"}})),E.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:g?b.width:p,height:g?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:C?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},E.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:ie,field:"metadata"}}),(f||h)&&(Bi(e,E,A),A=Sn),v&&(Zd(e,E,ce,A),(f||h)&&(A=eo)),Yd(e,E,ce,A),zi(e,E,A),gl(e,E),$i(e,E,ce),e.system.shouldUseNSFWChecker&&Fi(e,E,ie),e.system.shouldUseWatermarker&&Ui(e,E,ie),E},FSe=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=["auto","manual"].includes(_);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const v=d?c:po.shouldUseCpuNoise,S=i.model_type==="onnx";let w=S?ab:pl;const C=S?"onnx_model_loader":"main_model_loader",x=S?{type:"t2l_onnx",id:ge,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:ge,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},A={id:AB,nodes:{[w]:{type:C,id:w,is_intermediate:!0,model:i},[Qe]:{type:"clip_skip",id:Qe,is_intermediate:!0,skipped_layers:u},[ye]:{type:S?"prompt_onnx":"compel",id:ye,is_intermediate:!0,prompt:n},[ve]:{type:S?"prompt_onnx":"compel",id:ve,is_intermediate:!0,prompt:r},[ae]:{type:"noise",id:ae,is_intermediate:!0,width:g?b.width:p,height:g?b.height:m,use_cpu:v},[x.id]:x},edges:[{source:{node_id:w,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:w,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}}]};return g?(A.nodes[Se]={id:Se,type:S?"l2i_onnx":"l2i",is_intermediate:!0,fp32:l==="fp32"},A.nodes[ie]={id:ie,type:"img_resize",is_intermediate:!y,width:p,height:m},A.edges.push({source:{node_id:ge,field:"latents"},destination:{node_id:Se,field:"latents"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}})):(A.nodes[ie]={type:S?"l2i_onnx":"l2i",id:ie,is_intermediate:!y,fp32:l==="fp32"},A.edges.push({source:{node_id:ge,field:"latents"},destination:{node_id:ie,field:"latents"}})),A.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:g?b.width:p,height:g?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:v?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},A.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:ie,field:"metadata"}}),(f||h)&&(Bi(e,A,w),w=Sn),zi(e,A,w),Xd(e,A,ge,w),gl(e,A),$i(e,A,ge),e.system.shouldUseNSFWChecker&&Fi(e,A,ie),e.system.shouldUseWatermarker&&Ui(e,A,ie),A},BSe=(e,t,n,r)=>{let i;if(t==="txt2img")e.generation.model&&e.generation.model.base_model==="sdxl"?i=$Se(e):i=FSe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=NSe(e,n):i=RSe(e,n)}else if(t==="inpaint"){if(!n||!r)throw new Error("Missing canvas init and mask images");e.generation.model&&e.generation.model.base_model==="sdxl"?i=DSe(e,n,r):i=ISe(e,n,r)}else{if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=LSe(e,n,r):i=MSe(e,n,r)}return i},zSe=()=>{le({predicate:e=>hg.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=re("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:c}=o.canvas,d=await RE(s,a,l,u,c);if(!d){i.error("Unable to create canvas data");return}const{baseBlob:f,baseImageData:h,maskBlob:p,maskImageData:m}=d,b=PSe(h,m);if(o.system.enableImageDebugging){const C=await PP(f),x=await PP(p);TSe([{base64:x,caption:"mask b64"},{base64:C,caption:"image b64"}])}i.debug(`Generation mode: ${b}`);let _,y;["img2img","inpaint","outpaint"].includes(b)&&(_=await n(ne.endpoints.uploadImage.initiate({file:new File([f],"canvasInitImage.png",{type:"image/png"}),image_category:"general",is_intermediate:!0})).unwrap()),["inpaint","outpaint"].includes(b)&&(y=await n(ne.endpoints.uploadImage.initiate({file:new File([p],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!0})).unwrap());const g=BSe(o,b,_,y);i.debug({graph:kt(g)},"Canvas graph built"),n(lF(g));const{requestId:v}=n(er({graph:g})),[S]=await r(C=>er.fulfilled.match(C)&&C.meta.requestId===v),w=S.payload.id;["img2img","inpaint"].includes(b)&&_&&n(ne.endpoints.changeImageSessionId.initiate({imageDTO:_,session_id:w})),["inpaint"].includes(b)&&y&&n(ne.endpoints.changeImageSessionId.initiate({imageDTO:y,session_id:w})),o.canvas.layerState.stagingArea.boundingBox||n(nne({sessionId:w,boundingBox:{...o.canvas.boundingBoxCoordinates,...o.canvas.boundingBoxDimensions}})),n(rne(w)),n(Nu())}})},USe=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,img2imgStrength:u,shouldFitToWidthHeight:c,width:d,height:f,clipSkip:h,shouldUseCpuNoise:p,shouldUseNoiseSettings:m,vaePrecision:b,seamlessXAxis:_,seamlessYAxis:y}=e.generation;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");let g=pl;const v=m?p:po.shouldUseCpuNoise,S={id:sC,nodes:{[g]:{type:"main_model_loader",id:g,model:i},[Qe]:{type:"clip_skip",id:Qe,skipped_layers:h},[ye]:{type:"compel",id:ye,prompt:n},[ve]:{type:"compel",id:ve,prompt:r},[ae]:{type:"noise",id:ae,use_cpu:v},[Se]:{type:"l2i",id:Se,fp32:b==="fp32"},[ge]:{type:"denoise_latents",id:ge,cfg_scale:o,scheduler:s,steps:a,denoising_start:1-u,denoising_end:1},[Pt]:{type:"i2l",id:Pt,fp32:b==="fp32"}},edges:[{source:{node_id:g,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:g,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}},{source:{node_id:Pt,field:"latents"},destination:{node_id:ge,field:"latents"}},{source:{node_id:ge,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(c&&(l.width!==d||l.height!==f)){const w={id:Io,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:d,height:f};S.nodes[Io]=w,S.edges.push({source:{node_id:Io,field:"image"},destination:{node_id:Pt,field:"image"}}),S.edges.push({source:{node_id:Io,field:"width"},destination:{node_id:ae,field:"width"}}),S.edges.push({source:{node_id:Io,field:"height"},destination:{node_id:ae,field:"height"}})}else S.nodes[Pt].image={image_name:l.imageName},S.edges.push({source:{node_id:Pt,field:"width"},destination:{node_id:ae,field:"width"}}),S.edges.push({source:{node_id:Pt,field:"height"},destination:{node_id:ae,field:"height"}});return S.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:o,height:f,width:d,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:v?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:h,strength:u,init_image:l.imageName},S.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:Se,field:"metadata"}}),(_||y)&&(Bi(e,S,g),g=Sn),zi(e,S,g),Xd(e,S,ge,g),gl(e,S),$i(e,S,ge),e.system.shouldUseNSFWChecker&&Fi(e,S),e.system.shouldUseWatermarker&&Ui(e,S),S},jSe=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,shouldFitToWidthHeight:u,width:c,height:d,clipSkip:f,shouldUseCpuNoise:h,shouldUseNoiseSettings:p,vaePrecision:m,seamlessXAxis:b,seamlessYAxis:_}=e.generation,{positiveStylePrompt:y,negativeStylePrompt:g,shouldConcatSDXLStylePrompt:v,shouldUseSDXLRefiner:S,refinerStart:w,sdxlImg2ImgDenoisingStrength:C}=e.sdxl;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");let x=Yn;const A=p?h:po.shouldUseCpuNoise,{craftedPositiveStylePrompt:T,craftedNegativeStylePrompt:P}=Du(e,v),L={id:uv,nodes:{[x]:{type:"sdxl_model_loader",id:x,model:i},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:n,style:T},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:r,style:P},[ae]:{type:"noise",id:ae,use_cpu:A},[Se]:{type:"l2i",id:Se,fp32:m==="fp32"},[ce]:{type:"denoise_latents",id:ce,cfg_scale:o,scheduler:s,steps:a,denoising_start:S?Math.min(w,1-C):1-C,denoising_end:S?w:1},[Pt]:{type:"i2l",id:Pt,fp32:m==="fp32"}},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:x,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:x,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:x,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Pt,field:"latents"},destination:{node_id:ce,field:"latents"}},{source:{node_id:ce,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(u&&(l.width!==c||l.height!==d)){const R={id:Io,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:c,height:d};L.nodes[Io]=R,L.edges.push({source:{node_id:Io,field:"image"},destination:{node_id:Pt,field:"image"}}),L.edges.push({source:{node_id:Io,field:"width"},destination:{node_id:ae,field:"width"}}),L.edges.push({source:{node_id:Io,field:"height"},destination:{node_id:ae,field:"height"}})}else L.nodes[Pt].image={image_name:l.imageName},L.edges.push({source:{node_id:Pt,field:"width"},destination:{node_id:ae,field:"width"}}),L.edges.push({source:{node_id:Pt,field:"height"},destination:{node_id:ae,field:"height"}});return L.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"sdxl_img2img",cfg_scale:o,height:d,width:c,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:A?"cpu":"cuda",scheduler:s,vae:void 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t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,width:l,height:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,vaePrecision:h,seamlessXAxis:p,seamlessYAxis:m}=e.generation,{positiveStylePrompt:b,negativeStylePrompt:_,shouldUseSDXLRefiner:y,shouldConcatSDXLStylePrompt:g,refinerStart:v}=e.sdxl,S=f?d:po.shouldUseCpuNoise;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const{craftedPositiveStylePrompt:w,craftedNegativeStylePrompt:C}=Du(e,g);let x=Yn;const 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s={type:"open"};this.query.sid&&(s.data=`{"sid":"${this.query.sid}"}`),this.writer.write(s).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;this.writer.write(r).then(()=>{i&&UE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const M2e={websocket:R2e,webtransport:I2e,polling:P2e},N2e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,D2e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function cC(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=N2e.exec(e||""),o={},s=14;for(;s--;)o[D2e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=L2e(o,o.path),o.queryKey=$2e(o,o.query),o}function L2e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function $2e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let WB=class dc extends gn{constructor(t,n={}){super(),this.binaryType=O2e,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=cC(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=cC(n.host).host),db(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=x2e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=zB,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new M2e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&dc.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;dc.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;dc.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",dc.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),this.resetPingTimeout(),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=b2e(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){dc.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};WB.protocol=zB;function F2e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=cC(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const B2e=typeof ArrayBuffer=="function",z2e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,qB=Object.prototype.toString,U2e=typeof Blob=="function"||typeof Blob<"u"&&qB.call(Blob)==="[object BlobConstructor]",j2e=typeof File=="function"||typeof File<"u"&&qB.call(File)==="[object FileConstructor]";function jE(e){return B2e&&(e instanceof ArrayBuffer||z2e(e))||U2e&&e instanceof Blob||j2e&&e instanceof File}function T0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(T0(e[n]))return!0;return!1}if(jE(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return T0(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&T0(e[n]))return!0;return!1}function V2e(e){const t=[],n=e.data,r=e;return r.data=dC(n,t),r.attachments=t.length,{packet:r,buffers:t}}function dC(e,t){if(!e)return e;if(jE(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=dC(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=dC(e[r],t));return n}return e}function G2e(e,t){return e.data=fC(e.data,t),delete e.attachments,e}function fC(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=fC(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=fC(e[n],t));return e}const H2e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],W2e=5;var Ge;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Ge||(Ge={}));class q2e{constructor(t){this.replacer=t}encode(t){return(t.type===Ge.EVENT||t.type===Ge.ACK)&&T0(t)?this.encodeAsBinary({type:t.type===Ge.EVENT?Ge.BINARY_EVENT:Ge.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===Ge.BINARY_EVENT||t.type===Ge.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=V2e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function zP(e){return Object.prototype.toString.call(e)==="[object Object]"}class VE extends gn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===Ge.BINARY_EVENT;r||n.type===Ge.BINARY_ACK?(n.type=r?Ge.EVENT:Ge.ACK,this.reconstructor=new K2e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(jE(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(Ge[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===Ge.BINARY_EVENT||r.type===Ge.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(VE.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case Ge.CONNECT:return zP(n);case Ge.DISCONNECT:return n===void 0;case Ge.CONNECT_ERROR:return typeof n=="string"||zP(n);case Ge.EVENT:case Ge.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&H2e.indexOf(n[0])===-1);case Ge.ACK:case Ge.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class K2e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=G2e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const X2e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:VE,Encoder:q2e,get PacketType(){return Ge},protocol:W2e},Symbol.toStringTag,{value:"Module"}));function Xi(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const Y2e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class KB extends gn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Xi(t,"open",this.onopen.bind(this)),Xi(t,"packet",this.onpacket.bind(this)),Xi(t,"error",this.onerror.bind(this)),Xi(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(Y2e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:Ge.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:Ge.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Ge.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Ge.EVENT:case Ge.BINARY_EVENT:this.onevent(t);break;case Ge.ACK:case Ge.BINARY_ACK:this.onack(t);break;case Ge.DISCONNECT:this.ondisconnect();break;case Ge.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:Ge.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Ge.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of 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s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const XEe=(e,t)=>e.depth-t.depth;class YEe{constructor(){this.children=[],this.isDirty=!1}add(t){_4(this.children,t),this.isDirty=!0}remove(t){b4(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(XEe),this.isDirty=!1,this.children.forEach(t)}}function ZEe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(zs(r),e(o-t))};return St.read(r,!0),()=>zs(r)}function QEe(e){window.MotionDebug&&window.MotionDebug.record(e)}function JEe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function e4e(e,t,n){const r=qr(e)?e:kd(e);return r.start(v4("",r,t,n)),r.animation}const ZO=["","X","Y","Z"],QO=1e3;let t4e=0;const Ml={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function MU({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=t4e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ml.totalNodes=Ml.resolvedTargetDeltas=Ml.recalculatedProjection=0,this.nodes.forEach(i4e),this.nodes.forEach(u4e),this.nodes.forEach(c4e),this.nodes.forEach(o4e),QEe(Ml)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new YEe)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new S4),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=JEe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=ZEe(f,250),N0.hasAnimatedSinceResize&&(N0.hasAnimatedSinceResize=!1,this.nodes.forEach(eR))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||g4e,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),y=!this.targetLayout||!IU(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(y||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const v={...yU(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(v.delay=0,v.type=!1),this.startAnimation(v)}else f||eR(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,zs(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(d4e),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(JO);return}this.isUpdating||this.nodes.forEach(a4e),this.isUpdating=!1,this.nodes.forEach(l4e),this.nodes.forEach(n4e),this.nodes.forEach(r4e),this.clearAllSnapshots();const a=performance.now();sr.delta=Qa(0,1e3/60,a-sr.timestamp),sr.timestamp=a,sr.isProcessing=!0,D2.update.process(sr),D2.preRender.process(sr),D2.render.process(sr),sr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(s4e),this.sharedNodes.forEach(f4e)}scheduleUpdateProjection(){St.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){St.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=fn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!RU(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;s&&(a||Il(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),m4e(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return fn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(la(a.x,l.offset.x),la(a.y,l.offset.y)),a}removeElementScroll(s){const a=fn();_i(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){_i(a,s);const{scroll:f}=this.root;f&&(la(a.x,-f.offset.x),la(a.y,-f.offset.y))}la(a.x,c.offset.x),la(a.y,c.offset.y)}}return a}applyTransform(s,a=!1){const l=fn();_i(l,s);for(let u=0;u<this.path.length;u++){const c=this.path[u];!a&&c.options.layoutScroll&&c.scroll&&c!==c.root&&Oc(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),Il(c.latestValues)&&Oc(l,c.latestValues)}return Il(this.latestValues)&&Oc(l,this.latestValues),l}removeTransform(s){const a=fn();_i(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Il(u.latestValues))continue;IC(u.latestValues)&&u.updateSnapshot();const c=fn(),d=u.measurePageBox();_i(c,d),qO(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return Il(this.latestValues)&&qO(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==sr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=sr.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=fn(),this.relativeTargetOrigin=fn(),dh(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),_i(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=fn(),this.targetWithTransforms=fn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),yEe(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):_i(this.target,this.layout.layoutBox),TU(this.target,this.targetDelta)):_i(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=fn(),this.relativeTargetOrigin=fn(),dh(this.relativeTargetOrigin,this.target,h.target),_i(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ml.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||IC(this.parent.latestValues)||EU(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===sr.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;_i(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;TEe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:p}=a;if(!p){this.projectionTransform&&(this.projectionDelta=Pc(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Pc(),this.projectionDeltaWithTransform=Pc());const m=this.projectionTransform;ch(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=YO(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Ml.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=Pc();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const f=fn(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,b=this.getStack(),_=!b||b.members.length<=1,y=!!(m&&!_&&this.options.crossfade===!0&&!this.path.some(p4e));this.animationProgress=0;let g;this.mixTargetDelta=v=>{const S=v/1e3;tR(d.x,s.x,S),tR(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(dh(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),h4e(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&qEe(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=fn()),_i(g,this.relativeTarget)),m&&(this.animationValues=c,UEe(c,u,this.latestValues,S,y,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(zs(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=St.update(()=>{N0.hasAnimatedSinceResize=!0,this.currentAnimation=e4e(0,QO,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(QO),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&NU(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||fn();const d=li(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=li(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}_i(a,l),Oc(a,c),ch(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new KEe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c<ZO.length;c++){const d="rotate"+ZO[c];l[d]&&(u[d]=l[d],s.setStaticValue(d,0))}s.render();for(const c in u)s.setStaticValue(c,u[c]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=M0(s.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=M0(s.pointerEvents)||""),this.hasProjected&&!Il(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=YO(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(a=f.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in pv){if(f[m]===void 0)continue;const{correct:b,applyTo:_}=pv[m],y=u.transform==="none"?f[m]:b(f[m],d);if(_){const g=_.length;for(let v=0;v<g;v++)u[_[v]]=y}else u[m]=y}return this.options.layoutId&&(u.pointerEvents=d===this?M0(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(JO),this.root.sharedNodes.clear()}}}function n4e(e){e.updateLayout()}function r4e(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?Co(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=li(f);f.min=r[d].min,f.max=f.min+h}):NU(o,n.layoutBox,r)&&Co(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=li(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=Pc();ch(a,r,n.layoutBox);const l=Pc();s?ch(l,e.applyTransform(i,!0),n.measuredBox):ch(l,r,n.layoutBox);const u=!RU(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=fn();dh(p,n.layoutBox,f.layoutBox);const m=fn();dh(m,r,h.layoutBox),IU(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function i4e(e){Ml.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function o4e(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function s4e(e){e.clearSnapshot()}function JO(e){e.clearMeasurements()}function a4e(e){e.isLayoutDirty=!1}function l4e(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function eR(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function u4e(e){e.resolveTargetDelta()}function c4e(e){e.calcProjection()}function d4e(e){e.resetRotation()}function f4e(e){e.removeLeadSnapshot()}function tR(e,t,n){e.translate=qt(t.translate,0,n),e.scale=qt(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function nR(e,t,n,r){e.min=qt(t.min,n.min,r),e.max=qt(t.max,n.max,r)}function h4e(e,t,n,r){nR(e.x,t.x,n.x,r),nR(e.y,t.y,n.y,r)}function p4e(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const g4e={duration:.45,ease:[.4,0,.1,1]},rR=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),iR=rR("applewebkit/")&&!rR("chrome/")?Math.round:tn;function oR(e){e.min=iR(e.min),e.max=iR(e.max)}function m4e(e){oR(e.x),oR(e.y)}function NU(e,t,n){return e==="position"||e==="preserve-aspect"&&!OC(XO(t),XO(n),.2)}const y4e=MU({attachResizeListener:(e,t)=>Cs(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),W2={current:void 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0&&qr(f)&&(f.set(a[d],!1),bv(u)&&u.add(d))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,uR.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),$U.current||R4e(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:DC.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){uR.delete(this.current),this.projection&&this.projection.unmount(),zs(this.notifyUpdate),zs(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in 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this.makeTargetAnimatableFromInstance(t,this.props,n)}update(t,n){(t.transformTemplate||this.props.transformTemplate)&&this.scheduleRender(),this.prevProps=this.props,this.props=t,this.prevPresenceContext=this.presenceContext,this.presenceContext=n;for(let r=0;r<cR.length;r++){const i=cR[r];this.propEventSubscriptions[i]&&(this.propEventSubscriptions[i](),delete this.propEventSubscriptions[i]);const o=t["on"+i];o&&(this.propEventSubscriptions[i]=this.on(i,o))}this.prevMotionValues=I4e(this,this.scrapeMotionValuesFromProps(t,this.prevProps),this.prevMotionValues),this.handleChildMotionValue&&this.handleChildMotionValue()}getProps(){return this.props}getVariant(t){return this.props.variants?this.props.variants[t]:void 0}getDefaultTransition(){return this.props.transition}getTransformPagePoint(){return this.props.transformPagePoint}getClosestVariantNode(){return this.isVariantNode?this:this.parent?this.parent.getClosestVariantNode():void 0}getVariantContext(t=!1){if(t)return 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b=t.code,{isTop:_,isRight:y,isLeft:g,isBottom:v,maxScroll:S,minScroll:w}=oj(m),C=l6e(m),x={x:Math.min(b===_t.Right?C.right-C.width/2:C.right,Math.max(b===_t.Right?C.left:C.left+C.width/2,d.x)),y:Math.min(b===_t.Down?C.bottom-C.height/2:C.bottom,Math.max(b===_t.Down?C.top:C.top+C.height/2,d.y))},A=b===_t.Right&&!y||b===_t.Left&&!g,T=b===_t.Down&&!v||b===_t.Up&&!_;if(A&&x.x!==d.x){const P=m.scrollLeft+f.x,L=b===_t.Right&&P<=S.x||b===_t.Left&&P>=w.x;if(L&&!f.y){m.scrollTo({left:P,behavior:a});return}L?h.x=m.scrollLeft-P:h.x=b===_t.Right?m.scrollLeft-S.x:m.scrollLeft-w.x,h.x&&m.scrollBy({left:-h.x,behavior:a});break}else if(T&&x.y!==d.y){const P=m.scrollTop+f.y,L=b===_t.Down&&P<=S.y||b===_t.Up&&P>=w.y;if(L&&!f.x){m.scrollTo({top:P,behavior:a});return}L?h.y=m.scrollTop-P:h.y=b===_t.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,ed(Av(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}uj.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=lj,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function bR(e){return!!(e&&"distance"in e)}function SR(e){return!!(e&&"delay"in e)}class P4{constructor(t,n,r){var i;r===void 0&&(r=f6e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=tf(s),this.documentListeners=new fh(this.document),this.listeners=new fh(r),this.windowListeners=new fh(Ir(s)),this.initialCoordinates=(i=Lp(o))!=null?i:ho,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(Si.Resize,this.handleCancel),this.windowListeners.add(Si.DragStart,_R),this.windowListeners.add(Si.VisibilityChange,this.handleCancel),this.windowListeners.add(Si.ContextMenu,_R),this.documentListeners.add(Si.Keydown,this.handleKeydown),n){if(bR(n))return;if(SR(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(Si.Click,h6e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Si.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=Lp(t))!=null?n:ho,u=Av(i,l);if(!r&&a){if(SR(a))return Y2(u,a.tolerance)?this.handleCancel():void 0;if(bR(a))return a.tolerance!=null&&Y2(u,a.tolerance)?this.handleCancel():Y2(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===_t.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const g6e={move:{name:"pointermove"},end:{name:"pointerup"}};class cj extends P4{constructor(t){const{event:n}=t,r=tf(n.target);super(t,g6e,r)}}cj.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const m6e={move:{name:"mousemove"},end:{name:"mouseup"}};var GC;(function(e){e[e.RightClick=2]="RightClick"})(GC||(GC={}));class dj extends P4{constructor(t){super(t,m6e,tf(t.event.target))}}dj.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===GC.RightClick?!1:(r==null||r({event:n}),!0)}}];const Z2={move:{name:"touchmove"},end:{name:"touchend"}};class fj extends P4{constructor(t){super(t,Z2)}static setup(){return window.addEventListener(Z2.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(Z2.move.name,t)};function t(){}}}fj.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var hh;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(hh||(hh={}));var Pv;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(Pv||(Pv={}));function y6e(e){let{acceleration:t,activator:n=hh.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=Pv.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=_6e({delta:d,disabled:!o}),[p,m]=ATe(),b=I.useRef({x:0,y:0}),_=I.useRef({x:0,y:0}),y=I.useMemo(()=>{switch(n){case hh.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case hh.DraggableRect:return i}},[n,i,l]),g=I.useRef(null),v=I.useCallback(()=>{const w=g.current;if(!w)return;const C=b.current.x*_.current.x,x=b.current.y*_.current.y;w.scrollBy(C,x)},[]),S=I.useMemo(()=>a===Pv.TreeOrder?[...u].reverse():u,[a,u]);I.useEffect(()=>{if(!o||!u.length||!y){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const C=u.indexOf(w),x=c[C];if(!x)continue;const{direction:A,speed:T}=a6e(w,x,y,t,f);for(const P of["x","y"])h[P][A[P]]||(T[P]=0,A[P]=0);if(T.x>0||T.y>0){m(),g.current=w,p(v,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,v,r,m,o,s,JSON.stringify(y),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const v6e={x:{[Nn.Backward]:!1,[Nn.Forward]:!1},y:{[Nn.Backward]:!1,[Nn.Forward]:!1}};function _6e(e){let{delta:t,disabled:n}=e;const r=Tv(t);return Ig(i=>{if(n||!r||!i)return v6e;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[Nn.Backward]:i.x[Nn.Backward]||o.x===-1,[Nn.Forward]:i.x[Nn.Forward]||o.x===1},y:{[Nn.Backward]:i.y[Nn.Backward]||o.y===-1,[Nn.Forward]:i.y[Nn.Forward]||o.y===1}}},[n,t,r])}function b6e(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Ig(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function S6e(e,t){return I.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var Fp;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(Fp||(Fp={}));var HC;(function(e){e.Optimized="optimized"})(HC||(HC={}));const wR=new Map;function w6e(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=I.useState(null),{frequency:a,measure:l,strategy:u}=i,c=I.useRef(e),d=b(),f=Dp(d),h=I.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(y=>y===null?_:y.concat(_.filter(g=>!y.includes(g))))},[f]),p=I.useRef(null),m=Ig(_=>{if(d&&!n)return wR;if(!_||_===wR||c.current!==e||o!=null){const y=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){y.set(g.id,g.rect.current);continue}const v=g.node.current,S=v?new k4(l(v),v):null;g.rect.current=S,S&&y.set(g.id,S)}return y}return _},[e,o,n,d,l]);return I.useEffect(()=>{c.current=e},[e]),I.useEffect(()=>{d||h()},[n,d]),I.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),I.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case Fp.Always:return!1;case Fp.BeforeDragging:return n;default:return!n}}}function O4(e,t){return Ig(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function x6e(e,t){return O4(e,t)}function C6e(e){let{callback:t,disabled:n}=e;const r=Eb(t),i=I.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return I.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function Ab(e){let{callback:t,disabled:n}=e;const r=Eb(t),i=I.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return I.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function E6e(e){return new k4(Mg(e),e)}function xR(e,t,n){t===void 0&&(t=E6e);const[r,i]=I.useReducer(a,null),o=C6e({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=Ab({callback:i});return Yo(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function T6e(e){const t=O4(e);return JU(e,t)}const CR=[];function A6e(e){const t=I.useRef(e),n=Ig(r=>e?r&&r!==CR&&e&&t.current&&e.parentNode===t.current.parentNode?r:A4(e):CR,[e]);return I.useEffect(()=>{t.current=e},[e]),n}function k6e(e){const[t,n]=I.useState(null),r=I.useRef(e),i=I.useCallback(o=>{const s=X2(o.target);s&&n(a=>a?(a.set(s,VC(s)),new Map(a)):null)},[]);return I.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=X2(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,VC(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=X2(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),I.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>ed(o,s),ho):sj(e):ho,[e,t])}function ER(e,t){t===void 0&&(t=[]);const n=I.useRef(null);return I.useEffect(()=>{n.current=null},t),I.useEffect(()=>{const r=e!==ho;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?Av(e,n.current):ho}function P6e(e){I.useEffect(()=>{if(!Cb)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function O6e(e,t){return I.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function hj(e){return I.useMemo(()=>e?r6e(e):null,[e])}const Q2=[];function R6e(e,t){t===void 0&&(t=Mg);const[n]=e,r=hj(n?Ir(n):null),[i,o]=I.useReducer(a,Q2),s=Ab({callback:o});return e.length>0&&i===Q2&&o(),Yo(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>ij(l)?r:new k4(t(l),l)):Q2}}function pj(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Rg(t)?t:e}function I6e(e){let{measure:t}=e;const[n,r]=I.useState(null),i=I.useCallback(u=>{for(const{target:c}of u)if(Rg(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=Ab({callback:i}),s=I.useCallback(u=>{const c=pj(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=Ev(s);return I.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const M6e=[{sensor:cj,options:{}},{sensor:uj,options:{}}],N6e={current:{}},D0={draggable:{measure:vR},droppable:{measure:vR,strategy:Fp.WhileDragging,frequency:HC.Optimized},dragOverlay:{measure:Mg}};class ph extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const D6e={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new ph,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:kv},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:D0,measureDroppableContainers:kv,windowRect:null,measuringScheduled:!1},gj={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:kv,draggableNodes:new Map,over:null,measureDroppableContainers:kv},Ng=I.createContext(gj),mj=I.createContext(D6e);function L6e(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new ph}}}function $6e(e,t){switch(t.type){case bn.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case bn.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case bn.DragEnd:case bn.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case bn.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new ph(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case bn.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const s=new ph(e.droppable.containers);return s.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:s}}}case bn.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new ph(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function F6e(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=I.useContext(Ng),o=Tv(r),s=Tv(n==null?void 0:n.id);return I.useEffect(()=>{if(!t&&!r&&o&&s!=null){if(!T4(o)||document.activeElement===o.target)return;const a=i.get(s);if(!a)return;const{activatorNode:l,node:u}=a;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=OTe(c);if(d){d.focus();break}}})}},[r,t,i,s,o]),null}function yj(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function B6e(e){return I.useMemo(()=>({draggable:{...D0.draggable,...e==null?void 0:e.draggable},droppable:{...D0.droppable,...e==null?void 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diff --git a/invokeai/frontend/web/dist/assets/index-221b61a5.js b/invokeai/frontend/web/dist/assets/index-221b61a5.js
new file mode 100644
index 0000000000..bf25da5f63
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/index-221b61a5.js
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least":"over"} ${e.minimum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${e.minimum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${new Date(Number(e.minimum))}`:n="Invalid input";break;case ce.too_big:e.type==="array"?n=`Array must contain ${e.exact?"exactly":e.inclusive?"at most":"less than"} ${e.maximum} element(s)`:e.type==="string"?n=`String must contain ${e.exact?"exactly":e.inclusive?"at most":"under"} ${e.maximum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="bigint"?n=`BigInt must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly":e.inclusive?"smaller than or equal to":"smaller than"} ${new Date(Number(e.maximum))}`:n="Invalid input";break;case ce.custom:n="Invalid input";break;case ce.invalid_intersection_types:n="Intersection results could not be merged";break;case ce.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case ce.not_finite:n="Number must be finite";break;default:n=t.defaultError,Ut.assertNever(e)}return{message:n}};let X7=ig;function Jee(e){X7=e}function Iv(){return X7}const Mv=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],s={...i,path:o};let a="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)a=u(s,{data:t,defaultError:a}).message;return{...i,path:o,message:i.message||a}},ete=[];function Pe(e,t){const n=Mv({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,Iv(),ig].filter(r=>!!r)});e.common.issues.push(n)}class Fi{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return ct;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Fi.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return ct;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const ct=Object.freeze({status:"aborted"}),Q7=e=>({status:"dirty",value:e}),Xi=e=>({status:"valid",value:e}),uC=e=>e.status==="aborted",cC=e=>e.status==="dirty",og=e=>e.status==="valid",Nv=e=>typeof Promise<"u"&&e instanceof Promise;var Ze;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Ze||(Ze={}));class pa{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const Uk=(e,t)=>{if(og(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Ps(e.common.issues);return this._error=n,this._error}}};function gt(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class bt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return Nl(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:Nl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Fi,ctx:{common:t.parent.common,data:t.data,parsedType:Nl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(Nv(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Nl(t)},o=this._parseSync({data:t,path:i.path,parent:i});return Uk(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Nl(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(Nv(i)?i:Promise.resolve(i));return Uk(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:ce.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new Ns({schema:this,typeName:nt.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Ka.create(this,this._def)}nullable(){return Ec.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Rs.create(this,this._def)}promise(){return Rf.create(this,this._def)}or(t){return ug.create([this,t],this._def)}and(t){return cg.create(this,t,this._def)}transform(t){return new Ns({...gt(this._def),schema:this,typeName:nt.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new gg({...gt(this._def),innerType:this,defaultValue:n,typeName:nt.ZodDefault})}brand(){return new Z7({typeName:nt.ZodBranded,type:this,...gt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new Fv({...gt(this._def),innerType:this,catchValue:n,typeName:nt.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return bm.create(this,t)}readonly(){return zv.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const tte=/^c[^\s-]{8,}$/i,nte=/^[a-z][a-z0-9]*$/,rte=/[0-9A-HJKMNP-TV-Z]{26}/,ite=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,ote=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,ste=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,ate=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,lte=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,ute=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function cte(e,t){return!!((t==="v4"||!t)&&ate.test(e)||(t==="v6"||!t)&&lte.test(e))}class Es extends bt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:ce.invalid_string,...Ze.errToObj(r)}),this.nonempty=t=>this.min(1,Ze.errToObj(t)),this.trim=()=>new Es({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Es({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Es({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==ke.string){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.string,received:o.parsedType}),ct}const r=new Fi;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Pe(i,{code:ce.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Pe(i,{code:ce.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")ote.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"email",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")ste.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"emoji",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")ite.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"uuid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")tte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"cuid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")nte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"cuid2",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")rte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"ulid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Pe(i,{validation:"url",code:ce.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"regex",code:ce.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?ute(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?cte(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"ip",code:ce.invalid_string,message:o.message}),r.dirty()):Ut.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Es({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Ze.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Ze.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Ze.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Ze.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Ze.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Ze.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Ze.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Ze.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Ze.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Ze.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Ze.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Ze.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Ze.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Ze.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Ze.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Ze.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Es.create=e=>{var t;return new Es({checks:[],typeName:nt.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...gt(e)})};function dte(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class du extends bt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==ke.number){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.number,received:o.parsedType}),ct}let r;const i=new Fi;for(const o of this._def.checks)o.kind==="int"?Ut.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?dte(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_finite,message:o.message}),i.dirty()):Ut.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new du({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new du({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Ze.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Ze.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Ze.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Ze.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Ut.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}du.create=e=>new du({checks:[],typeName:nt.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...gt(e)});class fu extends bt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==ke.bigint){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.bigint,received:o.parsedType}),ct}let r;const i=new Fi;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Ut.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new fu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new fu({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}fu.create=e=>{var t;return new fu({checks:[],typeName:nt.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...gt(e)})};class sg extends bt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==ke.boolean){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.boolean,received:r.parsedType}),ct}return Xi(t.data)}}sg.create=e=>new sg({typeName:nt.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...gt(e)});class xc extends bt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==ke.date){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.date,received:o.parsedType}),ct}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_date}),ct}const r=new Fi;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Ut.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new xc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Ze.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Ze.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}xc.create=e=>new xc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:nt.ZodDate,...gt(e)});class Dv extends bt{_parse(t){if(this._getType(t)!==ke.symbol){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.symbol,received:r.parsedType}),ct}return Xi(t.data)}}Dv.create=e=>new Dv({typeName:nt.ZodSymbol,...gt(e)});class ag extends bt{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.undefined,received:r.parsedType}),ct}return Xi(t.data)}}ag.create=e=>new ag({typeName:nt.ZodUndefined,...gt(e)});class lg extends bt{_parse(t){if(this._getType(t)!==ke.null){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.null,received:r.parsedType}),ct}return Xi(t.data)}}lg.create=e=>new lg({typeName:nt.ZodNull,...gt(e)});class Pf extends bt{constructor(){super(...arguments),this._any=!0}_parse(t){return Xi(t.data)}}Pf.create=e=>new Pf({typeName:nt.ZodAny,...gt(e)});class hc extends bt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Xi(t.data)}}hc.create=e=>new hc({typeName:nt.ZodUnknown,...gt(e)});class ol extends bt{_parse(t){const n=this._getOrReturnCtx(t);return Pe(n,{code:ce.invalid_type,expected:ke.never,received:n.parsedType}),ct}}ol.create=e=>new ol({typeName:nt.ZodNever,...gt(e)});class Lv extends bt{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.void,received:r.parsedType}),ct}return Xi(t.data)}}Lv.create=e=>new Lv({typeName:nt.ZodVoid,...gt(e)});class Rs extends bt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==ke.array)return Pe(n,{code:ce.invalid_type,expected:ke.array,received:n.parsedType}),ct;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Pe(n,{code:s?ce.too_big:ce.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Pe(n,{code:ce.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Pe(n,{code:ce.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new pa(n,s,n.path,a)))).then(s=>Fi.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new pa(n,s,n.path,a)));return Fi.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Rs({...this._def,minLength:{value:t,message:Ze.toString(n)}})}max(t,n){return new Rs({...this._def,maxLength:{value:t,message:Ze.toString(n)}})}length(t,n){return new Rs({...this._def,exactLength:{value:t,message:Ze.toString(n)}})}nonempty(t){return this.min(1,t)}}Rs.create=(e,t)=>new Rs({type:e,minLength:null,maxLength:null,exactLength:null,typeName:nt.ZodArray,...gt(t)});function wd(e){if(e instanceof Zn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ka.create(wd(r))}return new Zn({...e._def,shape:()=>t})}else return e instanceof Rs?new Rs({...e._def,type:wd(e.element)}):e instanceof Ka?Ka.create(wd(e.unwrap())):e instanceof Ec?Ec.create(wd(e.unwrap())):e instanceof ga?ga.create(e.items.map(t=>wd(t))):e}class Zn extends bt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Ut.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==ke.object){const u=this._getOrReturnCtx(t);return Pe(u,{code:ce.invalid_type,expected:ke.object,received:u.parsedType}),ct}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof ol&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new pa(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof ol){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(Pe(i,{code:ce.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new pa(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>Fi.mergeObjectSync(r,u)):Fi.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Ze.errToObj,new Zn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Ze.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Zn({...this._def,unknownKeys:"strip"})}passthrough(){return new Zn({...this._def,unknownKeys:"passthrough"})}extend(t){return new Zn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Zn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:nt.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Zn({...this._def,catchall:t})}pick(t){const n={};return Ut.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Zn({...this._def,shape:()=>n})}omit(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Zn({...this._def,shape:()=>n})}deepPartial(){return wd(this)}partial(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Zn({...this._def,shape:()=>n})}required(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ka;)o=o._def.innerType;n[r]=o}}),new Zn({...this._def,shape:()=>n})}keyof(){return Y7(Ut.objectKeys(this.shape))}}Zn.create=(e,t)=>new Zn({shape:()=>e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});Zn.strictCreate=(e,t)=>new Zn({shape:()=>e,unknownKeys:"strict",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});Zn.lazycreate=(e,t)=>new Zn({shape:e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});class ug extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Ps(a.ctx.common.issues));return Pe(n,{code:ce.invalid_union,unionErrors:s}),ct}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Ps(l));return Pe(n,{code:ce.invalid_union,unionErrors:a}),ct}}get options(){return this._def.options}}ug.create=(e,t)=>new ug({options:e,typeName:nt.ZodUnion,...gt(t)});const k0=e=>e instanceof fg?k0(e.schema):e instanceof Ns?k0(e.innerType()):e instanceof hg?[e.value]:e instanceof hu?e.options:e instanceof pg?Object.keys(e.enum):e instanceof gg?k0(e._def.innerType):e instanceof ag?[void 0]:e instanceof lg?[null]:null;class P_ extends bt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.object)return Pe(n,{code:ce.invalid_type,expected:ke.object,received:n.parsedType}),ct;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Pe(n,{code:ce.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ct)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=k0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new P_({typeName:nt.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...gt(r)})}}function dC(e,t){const n=Nl(e),r=Nl(t);if(e===t)return{valid:!0,data:e};if(n===ke.object&&r===ke.object){const i=Ut.objectKeys(t),o=Ut.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=dC(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===ke.array&&r===ke.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=dC(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===ke.date&&r===ke.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class cg extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(uC(o)||uC(s))return ct;const a=dC(o.value,s.value);return a.valid?((cC(o)||cC(s))&&n.dirty(),{status:n.value,value:a.data}):(Pe(r,{code:ce.invalid_intersection_types}),ct)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}cg.create=(e,t,n)=>new cg({left:e,right:t,typeName:nt.ZodIntersection,...gt(n)});class ga extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.array)return Pe(r,{code:ce.invalid_type,expected:ke.array,received:r.parsedType}),ct;if(r.data.length<this._def.items.length)return Pe(r,{code:ce.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),ct;!this._def.rest&&r.data.length>this._def.items.length&&(Pe(r,{code:ce.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new pa(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Fi.mergeArray(n,s)):Fi.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new ga({...this._def,rest:t})}}ga.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new ga({items:e,typeName:nt.ZodTuple,rest:null,...gt(t)})};class dg extends bt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.object)return Pe(r,{code:ce.invalid_type,expected:ke.object,received:r.parsedType}),ct;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new pa(r,a,r.path,a)),value:s._parse(new pa(r,r.data[a],r.path,a))});return r.common.async?Fi.mergeObjectAsync(n,i):Fi.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof bt?new dg({keyType:t,valueType:n,typeName:nt.ZodRecord,...gt(r)}):new dg({keyType:Es.create(),valueType:t,typeName:nt.ZodRecord,...gt(n)})}}class $v extends bt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.map)return Pe(r,{code:ce.invalid_type,expected:ke.map,received:r.parsedType}),ct;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new pa(r,a,r.path,[u,"key"])),value:o._parse(new pa(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}$v.create=(e,t,n)=>new $v({valueType:t,keyType:e,typeName:nt.ZodMap,...gt(n)});class Cc extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.set)return Pe(r,{code:ce.invalid_type,expected:ke.set,received:r.parsedType}),ct;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Pe(r,{code:ce.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Pe(r,{code:ce.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return ct;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new pa(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new Cc({...this._def,minSize:{value:t,message:Ze.toString(n)}})}max(t,n){return new Cc({...this._def,maxSize:{value:t,message:Ze.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Cc.create=(e,t)=>new Cc({valueType:e,minSize:null,maxSize:null,typeName:nt.ZodSet,...gt(t)});class of extends bt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.function)return Pe(n,{code:ce.invalid_type,expected:ke.function,received:n.parsedType}),ct;function r(a,l){return Mv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Iv(),ig].filter(u=>!!u),issueData:{code:ce.invalid_arguments,argumentsError:l}})}function i(a,l){return Mv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Iv(),ig].filter(u=>!!u),issueData:{code:ce.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof Rf){const a=this;return Xi(async function(...l){const u=new Ps([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return Xi(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new Ps([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new Ps([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new of({...this._def,args:ga.create(t).rest(hc.create())})}returns(t){return new of({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new of({args:t||ga.create([]).rest(hc.create()),returns:n||hc.create(),typeName:nt.ZodFunction,...gt(r)})}}class fg extends bt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}fg.create=(e,t)=>new fg({getter:e,typeName:nt.ZodLazy,...gt(t)});class hg extends bt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Pe(n,{received:n.data,code:ce.invalid_literal,expected:this._def.value}),ct}return{status:"valid",value:t.data}}get value(){return this._def.value}}hg.create=(e,t)=>new hg({value:e,typeName:nt.ZodLiteral,...gt(t)});function Y7(e,t){return new hu({values:e,typeName:nt.ZodEnum,...gt(t)})}class hu extends bt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{expected:Ut.joinValues(r),received:n.parsedType,code:ce.invalid_type}),ct}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{received:n.data,code:ce.invalid_enum_value,options:r}),ct}return Xi(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return hu.create(t)}exclude(t){return hu.create(this.options.filter(n=>!t.includes(n)))}}hu.create=Y7;class pg extends bt{_parse(t){const n=Ut.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==ke.string&&r.parsedType!==ke.number){const i=Ut.objectValues(n);return Pe(r,{expected:Ut.joinValues(i),received:r.parsedType,code:ce.invalid_type}),ct}if(n.indexOf(t.data)===-1){const i=Ut.objectValues(n);return Pe(r,{received:r.data,code:ce.invalid_enum_value,options:i}),ct}return Xi(t.data)}get enum(){return this._def.values}}pg.create=(e,t)=>new pg({values:e,typeName:nt.ZodNativeEnum,...gt(t)});class Rf extends bt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.promise&&n.common.async===!1)return Pe(n,{code:ce.invalid_type,expected:ke.promise,received:n.parsedType}),ct;const r=n.parsedType===ke.promise?n.data:Promise.resolve(n.data);return Xi(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Rf.create=(e,t)=>new Rf({type:e,typeName:nt.ZodPromise,...gt(t)});class Ns extends bt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===nt.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{Pe(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ct:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ct:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!og(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>og(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Ut.assertNever(i)}}Ns.create=(e,t,n)=>new Ns({schema:e,typeName:nt.ZodEffects,effect:t,...gt(n)});Ns.createWithPreprocess=(e,t,n)=>new Ns({schema:t,effect:{type:"preprocess",transform:e},typeName:nt.ZodEffects,...gt(n)});class Ka extends bt{_parse(t){return this._getType(t)===ke.undefined?Xi(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ka.create=(e,t)=>new Ka({innerType:e,typeName:nt.ZodOptional,...gt(t)});class Ec extends bt{_parse(t){return this._getType(t)===ke.null?Xi(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ec.create=(e,t)=>new Ec({innerType:e,typeName:nt.ZodNullable,...gt(t)});class gg extends bt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===ke.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}gg.create=(e,t)=>new gg({innerType:e,typeName:nt.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...gt(t)});class Fv extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return Nv(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Ps(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Ps(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}Fv.create=(e,t)=>new Fv({innerType:e,typeName:nt.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...gt(t)});class Bv extends bt{_parse(t){if(this._getType(t)!==ke.nan){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.nan,received:r.parsedType}),ct}return{status:"valid",value:t.data}}}Bv.create=e=>new Bv({typeName:nt.ZodNaN,...gt(e)});const fte=Symbol("zod_brand");class Z7 extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class bm extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?ct:o.status==="dirty"?(n.dirty(),Q7(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?ct:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new bm({in:t,out:n,typeName:nt.ZodPipeline})}}class zv extends bt{_parse(t){const n=this._def.innerType._parse(t);return og(n)&&(n.value=Object.freeze(n.value)),n}}zv.create=(e,t)=>new zv({innerType:e,typeName:nt.ZodReadonly,...gt(t)});const J7=(e,t={},n)=>e?Pf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):Pf.create(),hte={object:Zn.lazycreate};var nt;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(nt||(nt={}));const pte=(e,t={message:`Input not instance of ${e.name}`})=>J7(n=>n instanceof e,t),eD=Es.create,tD=du.create,gte=Bv.create,mte=fu.create,nD=sg.create,yte=xc.create,vte=Dv.create,_te=ag.create,bte=lg.create,Ste=Pf.create,wte=hc.create,xte=ol.create,Cte=Lv.create,Ete=Rs.create,Tte=Zn.create,Ate=Zn.strictCreate,kte=ug.create,Pte=P_.create,Rte=cg.create,Ote=ga.create,Ite=dg.create,Mte=$v.create,Nte=Cc.create,Dte=of.create,Lte=fg.create,$te=hg.create,Fte=hu.create,Bte=pg.create,zte=Rf.create,jk=Ns.create,Ute=Ka.create,jte=Ec.create,Vte=Ns.createWithPreprocess,Gte=bm.create,Hte=()=>eD().optional(),qte=()=>tD().optional(),Wte=()=>nD().optional(),Kte={string:e=>Es.create({...e,coerce:!0}),number:e=>du.create({...e,coerce:!0}),boolean:e=>sg.create({...e,coerce:!0}),bigint:e=>fu.create({...e,coerce:!0}),date:e=>xc.create({...e,coerce:!0})},Xte=ct;var z=Object.freeze({__proto__:null,defaultErrorMap:ig,setErrorMap:Jee,getErrorMap:Iv,makeIssue:Mv,EMPTY_PATH:ete,addIssueToContext:Pe,ParseStatus:Fi,INVALID:ct,DIRTY:Q7,OK:Xi,isAborted:uC,isDirty:cC,isValid:og,isAsync:Nv,get util(){return Ut},get objectUtil(){return lC},ZodParsedType:ke,getParsedType:Nl,ZodType:bt,ZodString:Es,ZodNumber:du,ZodBigInt:fu,ZodBoolean:sg,ZodDate:xc,ZodSymbol:Dv,ZodUndefined:ag,ZodNull:lg,ZodAny:Pf,ZodUnknown:hc,ZodNever:ol,ZodVoid:Lv,ZodArray:Rs,ZodObject:Zn,ZodUnion:ug,ZodDiscriminatedUnion:P_,ZodIntersection:cg,ZodTuple:ga,ZodRecord:dg,ZodMap:$v,ZodSet:Cc,ZodFunction:of,ZodLazy:fg,ZodLiteral:hg,ZodEnum:hu,ZodNativeEnum:pg,ZodPromise:Rf,ZodEffects:Ns,ZodTransformer:Ns,ZodOptional:Ka,ZodNullable:Ec,ZodDefault:gg,ZodCatch:Fv,ZodNaN:Bv,BRAND:fte,ZodBranded:Z7,ZodPipeline:bm,ZodReadonly:zv,custom:J7,Schema:bt,ZodSchema:bt,late:hte,get ZodFirstPartyTypeKind(){return nt},coerce:Kte,any:Ste,array:Ete,bigint:mte,boolean:nD,date:yte,discriminatedUnion:Pte,effect:jk,enum:Fte,function:Dte,instanceof:pte,intersection:Rte,lazy:Lte,literal:$te,map:Mte,nan:gte,nativeEnum:Bte,never:xte,null:bte,nullable:jte,number:tD,object:Tte,oboolean:Wte,onumber:qte,optional:Ute,ostring:Hte,pipeline:Gte,preprocess:Vte,promise:zte,record:Ite,set:Nte,strictObject:Ate,string:eD,symbol:vte,transformer:jk,tuple:Ote,undefined:_te,union:kte,unknown:wte,void:Cte,NEVER:Xte,ZodIssueCode:ce,quotelessJson:Zee,ZodError:Ps});const Qte=z.string(),JPe=e=>Qte.safeParse(e).success,Yte=z.string(),e6e=e=>Yte.safeParse(e).success,Zte=z.string(),t6e=e=>Zte.safeParse(e).success,Jte=z.string(),n6e=e=>Jte.safeParse(e).success,ene=z.number().int().min(1),r6e=e=>ene.safeParse(e).success,tne=z.number().min(1),i6e=e=>tne.safeParse(e).success,rD=z.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),o6e=e=>rD.safeParse(e).success,s6e={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},nne=z.number().int().min(0).max(Yee),a6e=e=>nne.safeParse(e).success,rne=z.number().multipleOf(8).min(64),l6e=e=>rne.safeParse(e).success,ine=z.number().multipleOf(8).min(64),u6e=e=>ine.safeParse(e).success,th=z.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),R_=z.object({model_name:z.string().min(1),base_model:th,model_type:z.literal("main")}),c6e=e=>R_.safeParse(e).success,gE=z.object({model_name:z.string().min(1),base_model:z.literal("sdxl-refiner"),model_type:z.literal("main")}),d6e=e=>gE.safeParse(e).success,iD=z.object({model_name:z.string().min(1),base_model:th,model_type:z.literal("onnx")}),Sm=z.union([R_,iD]),one=z.object({model_name:z.string().min(1),base_model:th}),f6e=z.object({model_name:z.string().min(1),base_model:th}),h6e=z.object({model_name:z.string().min(1),base_model:th}),sne=z.number().min(0).max(1),p6e=e=>sne.safeParse(e).success;z.enum(["fp16","fp32"]);const ane=z.number().min(1).max(10),g6e=e=>ane.safeParse(e).success,lne=z.number().min(1).max(10),m6e=e=>lne.safeParse(e).success,une=z.number().min(0).max(1),y6e=e=>une.safeParse(e).success;z.enum(["box","gaussian"]);z.enum(["unmasked","mask","edge"]);const Ls={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceMode:"edge",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,infillTileSize:32,infillPatchmatchDownscaleSize:1,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},cne=Ls,oD=er({name:"generation",initialState:cne,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=Bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=Bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...Ls}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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t=e.layerState.stagingArea.selectedImageIndex;e.layerState.stagingArea.selectedImageIndex=Math.max(t-1,0)},commitStagingAreaImage:(e,t)=>{if(!e.layerState.stagingArea.images.length)return;const{images:n,selectedImageIndex:r}=e.layerState.stagingArea;e.pastLayerStates.push(Yn(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift();const i=n[r];i&&e.layerState.objects.push({...i}),e.layerState.stagingArea={...xd.stagingArea},e.futureLayerStates=[],e.shouldShowStagingOutline=!0,e.shouldShowStagingImage=!0},fitBoundingBoxToStage:e=>{const{boundingBoxDimensions:t,boundingBoxCoordinates:n,stageDimensions:r,stageScale:i}=e,o=r.width/i,s=r.height/i;if(n.x<0||n.x+t.width>o||n.y<0||n.y+t.height>s){const a={width:my(Bl(o,64,512),64),height:my(Bl(s,64,512),64)},l={x:Ys(o/2-a.width/2,64),y:Ys(s/2-a.height/2,64)};if(e.boundingBoxDimensions=a,e.boundingBoxCoordinates=l,e.boundingBoxScaleMethod==="auto"){const u=od(a);e.scaledBoundingBoxDimensions=u}}},setBoundingBoxScaleMethod:(e,t)=>{if(e.boundingBoxScaleMethod=t.payload,t.payload==="auto"){const n=od(e.boundingBoxDimensions);e.scaledBoundingBoxDimensions=n}},setScaledBoundingBoxDimensions:(e,t)=>{e.scaledBoundingBoxDimensions=t.payload},setShouldShowStagingImage:(e,t)=>{e.shouldShowStagingImage=t.payload},setShouldShowStagingOutline:(e,t)=>{e.shouldShowStagingOutline=t.payload},setShouldShowCanvasDebugInfo:(e,t)=>{e.shouldShowCanvasDebugInfo=t.payload},setShouldRestrictStrokesToBox:(e,t)=>{e.shouldRestrictStrokesToBox=t.payload},setShouldAntialias:(e,t)=>{e.shouldAntialias=t.payload},setShouldCropToBoundingBoxOnSave:(e,t)=>{e.shouldCropToBoundingBoxOnSave=t.payload},setColorPickerColor:(e,t)=>{e.colorPickerColor=t.payload},commitColorPickerColor:e=>{e.brushColor={...e.colorPickerColor,a:e.brushColor.a},e.tool="brush"},setMergedCanvas:(e,t)=>{e.pastLayerStates.push(Yn(e.layerState)),e.futureLayerStates=[],e.layerState.objects=[t.payload]},resetCanvasInteractionState:e=>{e.cursorPosition=null,e.isDrawing=!1,e.isMouseOverBoundingBox=!1,e.isMoveBoundingBoxKeyHeld=!1,e.isMoveStageKeyHeld=!1,e.isMovingBoundingBox=!1,e.isMovingStage=!1,e.isTransformingBoundingBox=!1},mouseLeftCanvas:e=>{e.cursorPosition=null,e.isDrawing=!1,e.isMouseOverBoundingBox=!1,e.isMovingBoundingBox=!1,e.isTransformingBoundingBox=!1}},extraReducers:e=>{e.addCase(Au.pending,t=>{t.layerState.stagingArea.images.length||(t.layerState.stagingArea=xd.stagingArea)}),e.addCase(hne,(t,n)=>{const r=n.payload;r&&(t.boundingBoxDimensions.height=Ys(t.boundingBoxDimensions.width/r,64))})}}),{addEraseRect:c8e,addFillRect:d8e,addImageToStagingArea:Mne,addLine:f8e,addPointToCurrentLine:h8e,clearCanvasHistory:p8e,clearMask:g8e,commitColorPickerColor:m8e,commitStagingAreaImage:Nne,discardStagedImages:y8e,fitBoundingBoxToStage:v8e,mouseLeftCanvas:_8e,nextStagingAreaImage:b8e,prevStagingAreaImage:S8e,redo:w8e,resetCanvas:yE,resetCanvasInteractionState:x8e,resetCanvasView:C8e,setBoundingBoxCoordinates:E8e,setBoundingBoxDimensions:Hk,setBoundingBoxPreviewFill:T8e,setBoundingBoxScaleMethod:A8e,flipBoundingBoxAxes:k8e,setBrushColor:P8e,setBrushSize:R8e,setColorPickerColor:O8e,setCursorPosition:I8e,setInitialCanvasImage:dD,setIsDrawing:M8e,setIsMaskEnabled:N8e,setIsMouseOverBoundingBox:D8e,setIsMoveBoundingBoxKeyHeld:L8e,setIsMoveStageKeyHeld:$8e,setIsMovingBoundingBox:F8e,setIsMovingStage:B8e,setIsTransformingBoundingBox:z8e,setLayer:U8e,setMaskColor:j8e,setMergedCanvas:Dne,setShouldAutoSave:V8e,setShouldCropToBoundingBoxOnSave:G8e,setShouldDarkenOutsideBoundingBox:H8e,setShouldLockBoundingBox:q8e,setShouldPreserveMaskedArea:W8e,setShouldShowBoundingBox:K8e,setShouldShowBrush:X8e,setShouldShowBrushPreview:Q8e,setShouldShowCanvasDebugInfo:Y8e,setShouldShowCheckboardTransparency:Z8e,setShouldShowGrid:J8e,setShouldShowIntermediates:eRe,setShouldShowStagingImage:tRe,setShouldShowStagingOutline:nRe,setShouldSnapToGrid:rRe,setStageCoordinates:iRe,setStageScale:oRe,setTool:sRe,toggleShouldLockBoundingBox:aRe,toggleTool:lRe,undo:uRe,setScaledBoundingBoxDimensions:cRe,setShouldRestrictStrokesToBox:dRe,stagingAreaInitialized:Lne,canvasSessionIdChanged:$ne,setShouldAntialias:fRe,canvasResized:hRe}=cD.actions,Fne=cD.reducer,Bne={isModalOpen:!1,imagesToChange:[]},fD=er({name:"changeBoardModal",initialState:Bne,reducers:{isModalOpenChanged:(e,t)=>{e.isModalOpen=t.payload},imagesToChangeSelected:(e,t)=>{e.imagesToChange=t.payload},changeBoardReset:e=>{e.imagesToChange=[],e.isModalOpen=!1}}}),{isModalOpenChanged:pRe,imagesToChangeSelected:gRe,changeBoardReset:mRe}=fD.actions,zne=fD.reducer,Kr=["general"],Ul=["control","mask","user","other"],Une=100,xy=20;/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const jne=4,qk=0,Wk=1,Vne=2;function ih(e){let t=e.length;for(;--t>=0;)e[t]=0}const Gne=0,hD=1,Hne=2,qne=3,Wne=258,vE=29,wm=256,vg=wm+1+vE,sf=30,_E=19,pD=2*vg+1,nc=15,I2=16,Kne=7,bE=256,gD=16,mD=17,yD=18,fC=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),P0=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),Xne=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),vD=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),Qne=512,Ba=new Array((vg+2)*2);ih(Ba);const _p=new Array(sf*2);ih(_p);const _g=new Array(Qne);ih(_g);const bg=new Array(Wne-qne+1);ih(bg);const SE=new Array(vE);ih(SE);const Uv=new Array(sf);ih(Uv);function M2(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let _D,bD,SD;function N2(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}const wD=e=>e<256?_g[e]:_g[256+(e>>>7)],Sg=(e,t)=>{e.pending_buf[e.pending++]=t&255,e.pending_buf[e.pending++]=t>>>8&255},lo=(e,t,n)=>{e.bi_valid>I2-n?(e.bi_buf|=t<<e.bi_valid&65535,Sg(e,e.bi_buf),e.bi_buf=t>>I2-e.bi_valid,e.bi_valid+=n-I2):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=n)},Zs=(e,t,n)=>{lo(e,n[t*2],n[t*2+1])},xD=(e,t)=>{let n=0;do n|=e&1,e>>>=1,n<<=1;while(--t>0);return n>>>1},Yne=e=>{e.bi_valid===16?(Sg(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):e.bi_valid>=8&&(e.pending_buf[e.pending++]=e.bi_buf&255,e.bi_buf>>=8,e.bi_valid-=8)},Zne=(e,t)=>{const n=t.dyn_tree,r=t.max_code,i=t.stat_desc.static_tree,o=t.stat_desc.has_stree,s=t.stat_desc.extra_bits,a=t.stat_desc.extra_base,l=t.stat_desc.max_length;let u,c,d,f,h,p,m=0;for(f=0;f<=nc;f++)e.bl_count[f]=0;for(n[e.heap[e.heap_max]*2+1]=0,u=e.heap_max+1;u<pD;u++)c=e.heap[u],f=n[n[c*2+1]*2+1]+1,f>l&&(f=l,m++),n[c*2+1]=f,!(c>r)&&(e.bl_count[f]++,h=0,c>=a&&(h=s[c-a]),p=n[c*2],e.opt_len+=p*(f+h),o&&(e.static_len+=p*(i[c*2+1]+h)));if(m!==0){do{for(f=l-1;e.bl_count[f]===0;)f--;e.bl_count[f]--,e.bl_count[f+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(f=l;f!==0;f--)for(c=e.bl_count[f];c!==0;)d=e.heap[--u],!(d>r)&&(n[d*2+1]!==f&&(e.opt_len+=(f-n[d*2+1])*n[d*2],n[d*2+1]=f),c--)}},CD=(e,t,n)=>{const r=new Array(nc+1);let i=0,o,s;for(o=1;o<=nc;o++)i=i+n[o-1]<<1,r[o]=i;for(s=0;s<=t;s++){let a=e[s*2+1];a!==0&&(e[s*2]=xD(r[a]++,a))}},Jne=()=>{let e,t,n,r,i;const o=new Array(nc+1);for(n=0,r=0;r<vE-1;r++)for(SE[r]=n,e=0;e<1<<fC[r];e++)bg[n++]=r;for(bg[n-1]=r,i=0,r=0;r<16;r++)for(Uv[r]=i,e=0;e<1<<P0[r];e++)_g[i++]=r;for(i>>=7;r<sf;r++)for(Uv[r]=i<<7,e=0;e<1<<P0[r]-7;e++)_g[256+i++]=r;for(t=0;t<=nc;t++)o[t]=0;for(e=0;e<=143;)Ba[e*2+1]=8,e++,o[8]++;for(;e<=255;)Ba[e*2+1]=9,e++,o[9]++;for(;e<=279;)Ba[e*2+1]=7,e++,o[7]++;for(;e<=287;)Ba[e*2+1]=8,e++,o[8]++;for(CD(Ba,vg+1,o),e=0;e<sf;e++)_p[e*2+1]=5,_p[e*2]=xD(e,5);_D=new M2(Ba,fC,wm+1,vg,nc),bD=new M2(_p,P0,0,sf,nc),SD=new M2(new Array(0),Xne,0,_E,Kne)},ED=e=>{let t;for(t=0;t<vg;t++)e.dyn_ltree[t*2]=0;for(t=0;t<sf;t++)e.dyn_dtree[t*2]=0;for(t=0;t<_E;t++)e.bl_tree[t*2]=0;e.dyn_ltree[bE*2]=1,e.opt_len=e.static_len=0,e.sym_next=e.matches=0},TD=e=>{e.bi_valid>8?Sg(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},Kk=(e,t,n,r)=>{const i=t*2,o=n*2;return e[i]<e[o]||e[i]===e[o]&&r[t]<=r[n]},D2=(e,t,n)=>{const r=e.heap[n];let i=n<<1;for(;i<=e.heap_len&&(i<e.heap_len&&Kk(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!Kk(t,r,e.heap[i],e.depth));)e.heap[n]=e.heap[i],n=i,i<<=1;e.heap[n]=r},Xk=(e,t,n)=>{let r,i,o=0,s,a;if(e.sym_next!==0)do r=e.pending_buf[e.sym_buf+o++]&255,r+=(e.pending_buf[e.sym_buf+o++]&255)<<8,i=e.pending_buf[e.sym_buf+o++],r===0?Zs(e,i,t):(s=bg[i],Zs(e,s+wm+1,t),a=fC[s],a!==0&&(i-=SE[s],lo(e,i,a)),r--,s=wD(r),Zs(e,s,n),a=P0[s],a!==0&&(r-=Uv[s],lo(e,r,a)));while(o<e.sym_next);Zs(e,bE,t)},hC=(e,t)=>{const n=t.dyn_tree,r=t.stat_desc.static_tree,i=t.stat_desc.has_stree,o=t.stat_desc.elems;let s,a,l=-1,u;for(e.heap_len=0,e.heap_max=pD,s=0;s<o;s++)n[s*2]!==0?(e.heap[++e.heap_len]=l=s,e.depth[s]=0):n[s*2+1]=0;for(;e.heap_len<2;)u=e.heap[++e.heap_len]=l<2?++l:0,n[u*2]=1,e.depth[u]=0,e.opt_len--,i&&(e.static_len-=r[u*2+1]);for(t.max_code=l,s=e.heap_len>>1;s>=1;s--)D2(e,n,s);u=o;do s=e.heap[1],e.heap[1]=e.heap[e.heap_len--],D2(e,n,1),a=e.heap[1],e.heap[--e.heap_max]=s,e.heap[--e.heap_max]=a,n[u*2]=n[s*2]+n[a*2],e.depth[u]=(e.depth[s]>=e.depth[a]?e.depth[s]:e.depth[a])+1,n[s*2+1]=n[a*2+1]=u,e.heap[1]=u++,D2(e,n,1);while(e.heap_len>=2);e.heap[--e.heap_max]=e.heap[1],Zne(e,t),CD(n,l,e.bl_count)},Qk=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),t[(n+1)*2+1]=65535,r=0;r<=n;r++)o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)&&(a<u?e.bl_tree[o*2]+=a:o!==0?(o!==i&&e.bl_tree[o*2]++,e.bl_tree[gD*2]++):a<=10?e.bl_tree[mD*2]++:e.bl_tree[yD*2]++,a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4))},Yk=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),r=0;r<=n;r++)if(o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)){if(a<u)do Zs(e,o,e.bl_tree);while(--a!==0);else 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N2(e.bl_tree,SD),e.bi_buf=0,e.bi_valid=0,ED(e)},AD=(e,t,n,r)=>{lo(e,(Gne<<1)+(r?1:0),3),TD(e),Sg(e,n),Sg(e,~n),n&&e.pending_buf.set(e.window.subarray(t,t+n),e.pending),e.pending+=n},ire=e=>{lo(e,hD<<1,3),Zs(e,bE,Ba),Yne(e)},ore=(e,t,n,r)=>{let i,o,s=0;e.level>0?(e.strm.data_type===Vne&&(e.strm.data_type=nre(e)),hC(e,e.l_desc),hC(e,e.d_desc),s=ere(e),i=e.opt_len+3+7>>>3,o=e.static_len+3+7>>>3,o<=i&&(i=o)):i=o=n+5,n+4<=i&&t!==-1?AD(e,t,n,r):e.strategy===jne||o===i?(lo(e,(hD<<1)+(r?1:0),3),Xk(e,Ba,_p)):(lo(e,(Hne<<1)+(r?1:0),3),tre(e,e.l_desc.max_code+1,e.d_desc.max_code+1,s+1),Xk(e,e.dyn_ltree,e.dyn_dtree)),ED(e),r&&TD(e)},sre=(e,t,n)=>(e.pending_buf[e.sym_buf+e.sym_next++]=t,e.pending_buf[e.sym_buf+e.sym_next++]=t>>8,e.pending_buf[e.sym_buf+e.sym_next++]=n,t===0?e.dyn_ltree[n*2]++:(e.matches++,t--,e.dyn_ltree[(bg[n]+wm+1)*2]++,e.dyn_dtree[wD(t)*2]++),e.sym_next===e.sym_end);var are=rre,lre=AD,ure=ore,cre=sre,dre=ire,fre={_tr_init:are,_tr_stored_block:lre,_tr_flush_block:ure,_tr_tally:cre,_tr_align:dre};const hre=(e,t,n,r)=>{let i=e&65535|0,o=e>>>16&65535|0,s=0;for(;n!==0;){s=n>2e3?2e3:n,n-=s;do i=i+t[r++]|0,o=o+i|0;while(--s);i%=65521,o%=65521}return i|o<<16|0};var wg=hre;const pre=()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},gre=new Uint32Array(pre()),mre=(e,t,n,r)=>{const i=gre,o=r+n;e^=-1;for(let s=r;s<o;s++)e=e>>>8^i[(e^t[s])&255];return e^-1};var Qr=mre,If={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"},xm={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:yre,_tr_stored_block:pC,_tr_flush_block:vre,_tr_tally:Jl,_tr_align:_re}=fre,{Z_NO_FLUSH:eu,Z_PARTIAL_FLUSH:bre,Z_FULL_FLUSH:Sre,Z_FINISH:Xo,Z_BLOCK:Jk,Z_OK:gi,Z_STREAM_END:eP,Z_STREAM_ERROR:la,Z_DATA_ERROR:wre,Z_BUF_ERROR:L2,Z_DEFAULT_COMPRESSION:xre,Z_FILTERED:Cre,Z_HUFFMAN_ONLY:Cy,Z_RLE:Ere,Z_FIXED:Tre,Z_DEFAULT_STRATEGY:Are,Z_UNKNOWN:kre,Z_DEFLATED:M_}=xm,Pre=9,Rre=15,Ore=8,Ire=29,Mre=256,gC=Mre+1+Ire,Nre=30,Dre=19,Lre=2*gC+1,$re=15,Mt=3,jl=258,ua=jl+Mt+1,Fre=32,Mf=42,wE=57,mC=69,yC=73,vC=91,_C=103,rc=113,Jh=666,Hi=1,oh=2,Tc=3,sh=4,Bre=3,ic=(e,t)=>(e.msg=If[t],t),tP=e=>e*2-(e>4?9:0),Dl=e=>{let t=e.length;for(;--t>=0;)e[t]=0},zre=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let Ure=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask,tu=Ure;const So=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},Ao=(e,t)=>{vre(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,So(e.strm)},Xt=(e,t)=>{e.pending_buf[e.pending++]=t},Ph=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},bC=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=wg(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Qr(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},kD=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-ua?e.strstart-(e.w_size-ua):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+jl;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&r<f);if(o=jl-(f-r),r=f-jl,o>s){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},Nf=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-ua)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),zre(e),r+=t),e.strm.avail_in===0)break;if(n=bC(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=Mt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=tu(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=tu(e,e.ins_h,e.window[i+Mt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<Mt)););}while(e.lookahead<ua&&e.strm.avail_in!==0)},PD=(e,t)=>{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_out<o||(o=e.strm.avail_out-o,i=e.strstart-e.block_start,r>i+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r<n&&(r===0&&t!==Xo||t===eu||r!==i+e.strm.avail_in)))break;s=t===Xo&&r===i+e.strm.avail_in?1:0,pC(e,0,0,s),e.pending_buf[e.pending-4]=r,e.pending_buf[e.pending-3]=r>>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,So(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(bC(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),s?sh:t!==eu&&t!==Xo&&e.strm.avail_in===0&&e.strstart===e.block_start?oh:(o=e.window_size-e.strstart,e.strm.avail_in>o&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(bC(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water<e.strstart&&(e.high_water=e.strstart),o=e.bi_valid+42>>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Xo)&&t!==eu&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Xo&&e.strm.avail_in===0&&r===i?1:0,pC(e,e.block_start,r,s),e.block_start+=r,So(e.strm)),s?Tc:Hi)},$2=(e,t)=>{let n,r;for(;;){if(e.lookahead<ua){if(Nf(e),e.lookahead<ua&&t===eu)return Hi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Mt&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-ua&&(e.match_length=kD(e,n)),e.match_length>=Mt)if(r=Jl(e,e.strstart-e.match_start,e.match_length-Mt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=Mt){e.match_length--;do e.strstart++,e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=tu(e,e.ins_h,e.window[e.strstart+1]);else r=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=e.strstart<Mt-1?e.strstart:Mt-1,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:sh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:oh},sd=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<ua){if(Nf(e),e.lookahead<ua&&t===eu)return Hi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Mt&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=Mt-1,n!==0&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-ua&&(e.match_length=kD(e,n),e.match_length<=5&&(e.strategy===Cre||e.match_length===Mt&&e.strstart-e.match_start>4096)&&(e.match_length=Mt-1)),e.prev_length>=Mt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-Mt,r=Jl(e,e.strstart-1-e.prev_match,e.prev_length-Mt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=Mt-1,e.strstart++,r&&(Ao(e,!1),e.strm.avail_out===0))return Hi}else if(e.match_available){if(r=Jl(e,0,e.window[e.strstart-1]),r&&Ao(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return Hi}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=Jl(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<Mt-1?e.strstart:Mt-1,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:sh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:oh},jre=(e,t)=>{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=jl){if(Nf(e),e.lookahead<=jl&&t===eu)return Hi;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=Mt&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+jl;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&i<o);e.match_length=jl-(o-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=Mt?(n=Jl(e,1,e.match_length-Mt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=0,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:sh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:oh},Vre=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(Nf(e),e.lookahead===0)){if(t===eu)return Hi;break}if(e.match_length=0,n=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=0,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:sh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:oh};function Us(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const ep=[new Us(0,0,0,0,PD),new Us(4,4,8,4,$2),new Us(4,5,16,8,$2),new Us(4,6,32,32,$2),new Us(4,4,16,16,sd),new Us(8,16,32,32,sd),new Us(8,16,128,128,sd),new Us(8,32,128,256,sd),new Us(32,128,258,1024,sd),new Us(32,258,258,4096,sd)],Gre=e=>{e.window_size=2*e.w_size,Dl(e.head),e.max_lazy_match=ep[e.level].max_lazy,e.good_match=ep[e.level].good_length,e.nice_match=ep[e.level].nice_length,e.max_chain_length=ep[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=Mt-1,e.match_available=0,e.ins_h=0};function Hre(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=M_,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(Lre*2),this.dyn_dtree=new Uint16Array((2*Nre+1)*2),this.bl_tree=new Uint16Array((2*Dre+1)*2),Dl(this.dyn_ltree),Dl(this.dyn_dtree),Dl(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array($re+1),this.heap=new Uint16Array(2*gC+1),Dl(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*gC+1),Dl(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const Cm=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==Mf&&t.status!==wE&&t.status!==mC&&t.status!==yC&&t.status!==vC&&t.status!==_C&&t.status!==rc&&t.status!==Jh?1:0},RD=e=>{if(Cm(e))return ic(e,la);e.total_in=e.total_out=0,e.data_type=kre;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?wE:t.wrap?Mf:rc,e.adler=t.wrap===2?0:1,t.last_flush=-2,yre(t),gi},OD=e=>{const t=RD(e);return t===gi&&Gre(e.state),t},qre=(e,t)=>Cm(e)||e.state.wrap!==2?la:(e.state.gzhead=t,gi),ID=(e,t,n,r,i,o)=>{if(!e)return la;let s=1;if(t===xre&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>Pre||n!==M_||r<8||r>15||t<0||t>9||o<0||o>Tre||r===8&&s!==1)return ic(e,la);r===8&&(r=9);const a=new Hre;return e.state=a,a.strm=e,a.status=Mf,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<<a.w_bits,a.w_mask=a.w_size-1,a.hash_bits=i+7,a.hash_size=1<<a.hash_bits,a.hash_mask=a.hash_size-1,a.hash_shift=~~((a.hash_bits+Mt-1)/Mt),a.window=new Uint8Array(a.w_size*2),a.head=new Uint16Array(a.hash_size),a.prev=new Uint16Array(a.w_size),a.lit_bufsize=1<<i+6,a.pending_buf_size=a.lit_bufsize*4,a.pending_buf=new Uint8Array(a.pending_buf_size),a.sym_buf=a.lit_bufsize,a.sym_end=(a.lit_bufsize-1)*3,a.level=t,a.strategy=o,a.method=n,OD(e)},Wre=(e,t)=>ID(e,t,M_,Rre,Ore,Are),Kre=(e,t)=>{if(Cm(e)||t>Jk||t<0)return e?ic(e,la):la;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===Jh&&t!==Xo)return ic(e,e.avail_out===0?L2:la);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(So(e),e.avail_out===0)return n.last_flush=-1,gi}else if(e.avail_in===0&&tP(t)<=tP(r)&&t!==Xo)return ic(e,L2);if(n.status===Jh&&e.avail_in!==0)return ic(e,L2);if(n.status===Mf&&n.wrap===0&&(n.status=rc),n.status===Mf){let i=M_+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=Cy||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=Fre),i+=31-i%31,Ph(n,i),n.strstart!==0&&(Ph(n,e.adler>>>16),Ph(n,e.adler&65535)),e.adler=1,n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(n.status===wE){if(e.adler=0,Xt(n,31),Xt(n,139),Xt(n,8),n.gzhead)Xt(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),Xt(n,n.gzhead.time&255),Xt(n,n.gzhead.time>>8&255),Xt(n,n.gzhead.time>>16&255),Xt(n,n.gzhead.time>>24&255),Xt(n,n.level===9?2:n.strategy>=Cy||n.level<2?4:0),Xt(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(Xt(n,n.gzhead.extra.length&255),Xt(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Qr(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=mC;else if(Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,n.level===9?2:n.strategy>=Cy||n.level<2?4:0),Xt(n,Bre),n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(n.status===mC){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let a=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+a),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=a,So(e),n.pending!==0)return n.last_flush=-1,gi;i=0,o-=a}let s=new Uint8Array(n.gzhead.extra);n.pending_buf.set(s.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=yC}if(n.status===yC){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),So(e),n.pending!==0)return n.last_flush=-1,gi;i=0}n.gzindex<n.gzhead.name.length?o=n.gzhead.name.charCodeAt(n.gzindex++)&255:o=0,Xt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=vC}if(n.status===vC){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),So(e),n.pending!==0)return n.last_flush=-1,gi;i=0}n.gzindex<n.gzhead.comment.length?o=n.gzhead.comment.charCodeAt(n.gzindex++)&255:o=0,Xt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i))}n.status=_C}if(n.status===_C){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(So(e),n.pending!==0))return n.last_flush=-1,gi;Xt(n,e.adler&255),Xt(n,e.adler>>8&255),e.adler=0}if(n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(e.avail_in!==0||n.lookahead!==0||t!==eu&&n.status!==Jh){let i=n.level===0?PD(n,t):n.strategy===Cy?Vre(n,t):n.strategy===Ere?jre(n,t):ep[n.level].func(n,t);if((i===Tc||i===sh)&&(n.status=Jh),i===Hi||i===Tc)return e.avail_out===0&&(n.last_flush=-1),gi;if(i===oh&&(t===bre?_re(n):t!==Jk&&(pC(n,0,0,!1),t===Sre&&(Dl(n.head),n.lookahead===0&&(n.strstart=0,n.block_start=0,n.insert=0))),So(e),e.avail_out===0))return n.last_flush=-1,gi}return t!==Xo?gi:n.wrap<=0?eP:(n.wrap===2?(Xt(n,e.adler&255),Xt(n,e.adler>>8&255),Xt(n,e.adler>>16&255),Xt(n,e.adler>>24&255),Xt(n,e.total_in&255),Xt(n,e.total_in>>8&255),Xt(n,e.total_in>>16&255),Xt(n,e.total_in>>24&255)):(Ph(n,e.adler>>>16),Ph(n,e.adler&65535)),So(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?gi:eP)},Xre=e=>{if(Cm(e))return la;const t=e.state.status;return e.state=null,t===rc?ic(e,wre):gi},Qre=(e,t)=>{let n=t.length;if(Cm(e))return la;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==Mf||r.lookahead)return la;if(i===1&&(e.adler=wg(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(Dl(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,s=e.next_in,a=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,Nf(r);r.lookahead>=Mt;){let l=r.strstart,u=r.lookahead-(Mt-1);do r.ins_h=tu(r,r.ins_h,r.window[l+Mt-1]),r.prev[l&r.w_mask]=r.head[r.ins_h],r.head[r.ins_h]=l,l++;while(--u);r.strstart=l,r.lookahead=Mt-1,Nf(r)}return r.strstart+=r.lookahead,r.block_start=r.strstart,r.insert=r.lookahead,r.lookahead=0,r.match_length=r.prev_length=Mt-1,r.match_available=0,e.next_in=s,e.input=a,e.avail_in=o,r.wrap=i,gi};var Yre=Wre,Zre=ID,Jre=OD,eie=RD,tie=qre,nie=Kre,rie=Xre,iie=Qre,oie="pako deflate (from Nodeca project)",bp={deflateInit:Yre,deflateInit2:Zre,deflateReset:Jre,deflateResetKeep:eie,deflateSetHeader:tie,deflate:nie,deflateEnd:rie,deflateSetDictionary:iie,deflateInfo:oie};const sie=(e,t)=>Object.prototype.hasOwnProperty.call(e,t);var aie=function(e){const t=Array.prototype.slice.call(arguments,1);for(;t.length;){const n=t.shift();if(n){if(typeof n!="object")throw new TypeError(n+"must be non-object");for(const r in n)sie(n,r)&&(e[r]=n[r])}}return e},lie=e=>{let t=0;for(let r=0,i=e.length;r<i;r++)t+=e[r].length;const n=new Uint8Array(t);for(let r=0,i=0,o=e.length;r<o;r++){let s=e[r];n.set(s,i),i+=s.length}return n},N_={assign:aie,flattenChunks:lie};let MD=!0;try{String.fromCharCode.apply(null,new Uint8Array(1))}catch{MD=!1}const xg=new Uint8Array(256);for(let e=0;e<256;e++)xg[e]=e>=252?6:e>=248?5:e>=240?4:e>=224?3:e>=192?2:1;xg[254]=xg[254]=1;var uie=e=>{if(typeof TextEncoder=="function"&&TextEncoder.prototype.encode)return new TextEncoder().encode(e);let t,n,r,i,o,s=e.length,a=0;for(i=0;i<s;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<s&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),a+=n<128?1:n<2048?2:n<65536?3:4;for(t=new Uint8Array(a),o=0,i=0;o<a;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<s&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),n<128?t[o++]=n:n<2048?(t[o++]=192|n>>>6,t[o++]=128|n&63):n<65536?(t[o++]=224|n>>>12,t[o++]=128|n>>>6&63,t[o++]=128|n&63):(t[o++]=240|n>>>18,t[o++]=128|n>>>12&63,t[o++]=128|n>>>6&63,t[o++]=128|n&63);return t};const cie=(e,t)=>{if(t<65534&&e.subarray&&MD)return String.fromCharCode.apply(null,e.length===t?e:e.subarray(0,t));let n="";for(let r=0;r<t;r++)n+=String.fromCharCode(e[r]);return n};var die=(e,t)=>{const n=t||e.length;if(typeof TextDecoder=="function"&&TextDecoder.prototype.decode)return new TextDecoder().decode(e.subarray(0,t));let r,i;const o=new Array(n*2);for(i=0,r=0;r<n;){let s=e[r++];if(s<128){o[i++]=s;continue}let a=xg[s];if(a>4){o[i++]=65533,r+=a-1;continue}for(s&=a===2?31:a===3?15:7;a>1&&r<n;)s=s<<6|e[r++]&63,a--;if(a>1){o[i++]=65533;continue}s<65536?o[i++]=s:(s-=65536,o[i++]=55296|s>>10&1023,o[i++]=56320|s&1023)}return cie(o,i)},fie=(e,t)=>{t=t||e.length,t>e.length&&(t=e.length);let n=t-1;for(;n>=0&&(e[n]&192)===128;)n--;return n<0||n===0?t:n+xg[e[n]]>t?n:t},Cg={string2buf:uie,buf2string:die,utf8border:fie};function hie(){this.input=null,this.next_in=0,this.avail_in=0,this.total_in=0,this.output=null,this.next_out=0,this.avail_out=0,this.total_out=0,this.msg="",this.state=null,this.data_type=2,this.adler=0}var ND=hie;const DD=Object.prototype.toString,{Z_NO_FLUSH:pie,Z_SYNC_FLUSH:gie,Z_FULL_FLUSH:mie,Z_FINISH:yie,Z_OK:jv,Z_STREAM_END:vie,Z_DEFAULT_COMPRESSION:_ie,Z_DEFAULT_STRATEGY:bie,Z_DEFLATED:Sie}=xm;function xE(e){this.options=N_.assign({level:_ie,method:Sie,chunkSize:16384,windowBits:15,memLevel:8,strategy:bie},e||{});let t=this.options;t.raw&&t.windowBits>0?t.windowBits=-t.windowBits:t.gzip&&t.windowBits>0&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new ND,this.strm.avail_out=0;let n=bp.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==jv)throw new Error(If[n]);if(t.header&&bp.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=Cg.string2buf(t.dictionary):DD.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=bp.deflateSetDictionary(this.strm,r),n!==jv)throw new Error(If[n]);this._dict_set=!0}}xE.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?yie:pie,typeof e=="string"?n.input=Cg.string2buf(e):DD.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===gie||o===mie)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=bp.deflate(n,o),i===vie)return n.next_out>0&&this.onData(n.output.subarray(0,n.next_out)),i=bp.deflateEnd(this.strm),this.onEnd(i),this.ended=!0,i===jv;if(n.avail_out===0){this.onData(n.output);continue}if(o>0&&n.next_out>0){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(n.avail_in===0)break}return!0};xE.prototype.onData=function(e){this.chunks.push(e)};xE.prototype.onEnd=function(e){e===jv&&(this.result=N_.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};const Ey=16209,wie=16191;var xie=function(t,n){let r,i,o,s,a,l,u,c,d,f,h,p,m,b,_,v,g,y,S,w,x,E,A,T;const k=t.state;r=t.next_in,A=t.input,i=r+(t.avail_in-5),o=t.next_out,T=t.output,s=o-(n-t.avail_out),a=o+(t.avail_out-257),l=k.dmax,u=k.wsize,c=k.whave,d=k.wnext,f=k.window,h=k.hold,p=k.bits,m=k.lencode,b=k.distcode,_=(1<<k.lenbits)-1,v=(1<<k.distbits)-1;e:do{p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=m[h&_];t:for(;;){if(y=g>>>24,h>>>=y,p-=y,y=g>>>16&255,y===0)T[o++]=g&65535;else if(y&16){S=g&65535,y&=15,y&&(p<y&&(h+=A[r++]<<p,p+=8),S+=h&(1<<y)-1,h>>>=y,p-=y),p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=b[h&v];n:for(;;){if(y=g>>>24,h>>>=y,p-=y,y=g>>>16&255,y&16){if(w=g&65535,y&=15,p<y&&(h+=A[r++]<<p,p+=8,p<y&&(h+=A[r++]<<p,p+=8)),w+=h&(1<<y)-1,w>l){t.msg="invalid distance too far back",k.mode=Ey;break e}if(h>>>=y,p-=y,y=o-s,w>y){if(y=w-y,y>c&&k.sane){t.msg="invalid distance too far back",k.mode=Ey;break e}if(x=0,E=f,d===0){if(x+=u-y,y<S){S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}}else if(d<y){if(x+=u+d-y,y-=d,y<S){S-=y;do T[o++]=f[x++];while(--y);if(x=0,d<S){y=d,S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}}}else if(x+=d-y,y<S){S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}for(;S>2;)T[o++]=E[x++],T[o++]=E[x++],T[o++]=E[x++],S-=3;S&&(T[o++]=E[x++],S>1&&(T[o++]=E[x++]))}else{x=o-w;do T[o++]=T[x++],T[o++]=T[x++],T[o++]=T[x++],S-=3;while(S>2);S&&(T[o++]=T[x++],S>1&&(T[o++]=T[x++]))}}else if(y&64){t.msg="invalid distance code",k.mode=Ey;break e}else{g=b[(g&65535)+(h&(1<<y)-1)];continue n}break}}else if(y&64)if(y&32){k.mode=wie;break e}else{t.msg="invalid literal/length code",k.mode=Ey;break e}else{g=m[(g&65535)+(h&(1<<y)-1)];continue t}break}}while(r<i&&o<a);S=p>>3,r-=S,p-=S<<3,h&=(1<<p)-1,t.next_in=r,t.next_out=o,t.avail_in=r<i?5+(i-r):5-(r-i),t.avail_out=o<a?257+(a-o):257-(o-a),k.hold=h,k.bits=p};const ad=15,nP=852,rP=592,iP=0,F2=1,oP=2,Cie=new Uint16Array([3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0]),Eie=new Uint8Array([16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78]),Tie=new Uint16Array([1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0]),Aie=new Uint8Array([16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64]),kie=(e,t,n,r,i,o,s,a)=>{const l=a.bits;let u=0,c=0,d=0,f=0,h=0,p=0,m=0,b=0,_=0,v=0,g,y,S,w,x,E=null,A;const T=new Uint16Array(ad+1),k=new Uint16Array(ad+1);let L=null,N,C,P;for(u=0;u<=ad;u++)T[u]=0;for(c=0;c<r;c++)T[t[n+c]]++;for(h=l,f=ad;f>=1&&T[f]===0;f--);if(h>f&&(h=f),f===0)return i[o++]=1<<24|64<<16|0,i[o++]=1<<24|64<<16|0,a.bits=1,0;for(d=1;d<f&&T[d]===0;d++);for(h<d&&(h=d),b=1,u=1;u<=ad;u++)if(b<<=1,b-=T[u],b<0)return-1;if(b>0&&(e===iP||f!==1))return-1;for(k[1]=0,u=1;u<ad;u++)k[u+1]=k[u]+T[u];for(c=0;c<r;c++)t[n+c]!==0&&(s[k[t[n+c]]++]=c);if(e===iP?(E=L=s,A=20):e===F2?(E=Cie,L=Eie,A=257):(E=Tie,L=Aie,A=0),v=0,c=0,u=d,x=o,p=h,m=0,S=-1,_=1<<h,w=_-1,e===F2&&_>nP||e===oP&&_>rP)return 1;for(;;){N=u-m,s[c]+1<A?(C=0,P=s[c]):s[c]>=A?(C=L[s[c]-A],P=E[s[c]-A]):(C=32+64,P=0),g=1<<u-m,y=1<<p,d=y;do y-=g,i[x+(v>>m)+y]=N<<24|C<<16|P|0;while(y!==0);for(g=1<<u-1;v&g;)g>>=1;if(g!==0?(v&=g-1,v+=g):v=0,c++,--T[u]===0){if(u===f)break;u=t[n+s[c]]}if(u>h&&(v&w)!==S){for(m===0&&(m=h),x+=d,p=u-m,b=1<<p;p+m<f&&(b-=T[p+m],!(b<=0));)p++,b<<=1;if(_+=1<<p,e===F2&&_>nP||e===oP&&_>rP)return 1;S=v&w,i[S]=h<<24|p<<16|x-o|0}}return v!==0&&(i[x+v]=u-m<<24|64<<16|0),a.bits=h,0};var Sp=kie;const Pie=0,LD=1,$D=2,{Z_FINISH:sP,Z_BLOCK:Rie,Z_TREES:Ty,Z_OK:Ac,Z_STREAM_END:Oie,Z_NEED_DICT:Iie,Z_STREAM_ERROR:rs,Z_DATA_ERROR:FD,Z_MEM_ERROR:BD,Z_BUF_ERROR:Mie,Z_DEFLATED:aP}=xm,D_=16180,lP=16181,uP=16182,cP=16183,dP=16184,fP=16185,hP=16186,pP=16187,gP=16188,mP=16189,Vv=16190,Aa=16191,B2=16192,yP=16193,z2=16194,vP=16195,_P=16196,bP=16197,SP=16198,Ay=16199,ky=16200,wP=16201,xP=16202,CP=16203,EP=16204,TP=16205,U2=16206,AP=16207,kP=16208,Vn=16209,zD=16210,UD=16211,Nie=852,Die=592,Lie=15,$ie=Lie,PP=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function Fie(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Uc=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.mode<D_||t.mode>UD?1:0},jD=e=>{if(Uc(e))return rs;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=D_,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(Nie),t.distcode=t.distdyn=new Int32Array(Die),t.sane=1,t.back=-1,Ac},VD=e=>{if(Uc(e))return rs;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,jD(e)},GD=(e,t)=>{let n;if(Uc(e))return rs;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?rs:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,VD(e))},HD=(e,t)=>{if(!e)return rs;const n=new Fie;e.state=n,n.strm=e,n.window=null,n.mode=D_;const r=GD(e,t);return r!==Ac&&(e.state=null),r},Bie=e=>HD(e,$ie);let RP=!0,j2,V2;const zie=e=>{if(RP){j2=new Int32Array(512),V2=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(Sp(LD,e.lens,0,288,j2,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;Sp($D,e.lens,0,32,V2,0,e.work,{bits:5}),RP=!1}e.lencode=j2,e.lenbits=9,e.distcode=V2,e.distbits=5},qD=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new Uint8Array(o.wsize)),r>=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=i))),0},Uie=(e,t)=>{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,v,g,y,S,w,x,E;const A=new Uint8Array(4);let T,k;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Uc(e)||!e.output||!e.input&&e.avail_in!==0)return rs;n=e.state,n.mode===Aa&&(n.mode=B2),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,E=Ac;e:for(;;)switch(n.mode){case D_:if(n.wrap===0){n.mode=B2;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&2&&u===35615){n.wbits===0&&(n.wbits=15),n.check=0,A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0),u=0,c=0,n.mode=lP;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Vn;break}if((u&15)!==aP){e.msg="unknown compression method",n.mode=Vn;break}if(u>>>=4,c-=4,x=(u&15)+8,n.wbits===0&&(n.wbits=x),x>15||x>n.wbits){e.msg="invalid window size",n.mode=Vn;break}n.dmax=1<<n.wbits,n.flags=0,e.adler=n.check=1,n.mode=u&512?mP:Aa,u=0,c=0;break;case lP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.flags=u,(n.flags&255)!==aP){e.msg="unknown compression method",n.mode=Vn;break}if(n.flags&57344){e.msg="unknown header flags set",n.mode=Vn;break}n.head&&(n.head.text=u>>8&1),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0,n.mode=uP;case uP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.time=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,A[2]=u>>>16&255,A[3]=u>>>24&255,n.check=Qr(n.check,A,4,0)),u=0,c=0,n.mode=cP;case cP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.xflags=u&255,n.head.os=u>>8),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0,n.mode=dP;case dP:if(n.flags&1024){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length=u,n.head&&(n.head.extra_len=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=fP;case fP:if(n.flags&1024&&(h=n.length,h>a&&(h=a),h&&(n.head&&(x=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),x)),n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=hP;case hP:if(n.flags&2048){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.name+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=pP;case pP:if(n.flags&4096){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.comment+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.comment=null);n.mode=gP;case gP:if(n.flags&512){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.check&65535)){e.msg="header crc mismatch",n.mode=Vn;break}u=0,c=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=Aa;break;case mP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}e.adler=n.check=PP(u),u=0,c=0,n.mode=Vv;case Vv:if(n.havedict===0)return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Iie;e.adler=n.check=1,n.mode=Aa;case Aa:if(t===Rie||t===Ty)break e;case B2:if(n.last){u>>>=c&7,c-=c&7,n.mode=U2;break}for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}switch(n.last=u&1,u>>>=1,c-=1,u&3){case 0:n.mode=yP;break;case 1:if(zie(n),n.mode=Ay,t===Ty){u>>>=2,c-=2;break e}break;case 2:n.mode=_P;break;case 3:e.msg="invalid block type",n.mode=Vn}u>>>=2,c-=2;break;case yP:for(u>>>=c&7,c-=c&7;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if((u&65535)!==(u>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Vn;break}if(n.length=u&65535,u=0,c=0,n.mode=z2,t===Ty)break e;case z2:n.mode=vP;case vP:if(h=n.length,h){if(h>a&&(h=a),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),s),a-=h,o+=h,l-=h,s+=h,n.length-=h;break}n.mode=Aa;break;case _P:for(;c<14;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.nlen=(u&31)+257,u>>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Vn;break}n.have=0,n.mode=bP;case bP:for(;n.have<n.ncode;){for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.lens[L[n.have++]]=u&7,u>>>=3,c-=3}for(;n.have<19;)n.lens[L[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},E=Sp(Pie,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,E){e.msg="invalid code lengths set",n.mode=Vn;break}n.have=0,n.mode=SP;case SP:for(;n.have<n.nlen+n.ndist;){for(;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(g<16)u>>>=_,c-=_,n.lens[n.have++]=g;else{if(g===16){for(k=_+2;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(u>>>=_,c-=_,n.have===0){e.msg="invalid bit length repeat",n.mode=Vn;break}x=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(k=_+3;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=3+(u&7),u>>>=3,c-=3}else{for(k=_+7;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Vn;break}for(;h--;)n.lens[n.have++]=x}}if(n.mode===Vn)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Vn;break}if(n.lenbits=9,T={bits:n.lenbits},E=Sp(LD,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,E){e.msg="invalid literal/lengths set",n.mode=Vn;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},E=Sp($D,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,E){e.msg="invalid distances set",n.mode=Vn;break}if(n.mode=Ay,t===Ty)break e;case Ay:n.mode=ky;case ky:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,xie(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===Aa&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(v&&!(v&240)){for(y=_,S=v,w=g;b=n.lencode[w+((u&(1<<y+S)-1)>>y)],_=b>>>24,v=b>>>16&255,g=b&65535,!(y+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=y,c-=y,n.back+=y}if(u>>>=_,c-=_,n.back+=_,n.length=g,v===0){n.mode=TP;break}if(v&32){n.back=-1,n.mode=Aa;break}if(v&64){e.msg="invalid literal/length code",n.mode=Vn;break}n.extra=v&15,n.mode=wP;case wP:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=xP;case xP:for(;b=n.distcode[u&(1<<n.distbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(!(v&240)){for(y=_,S=v,w=g;b=n.distcode[w+((u&(1<<y+S)-1)>>y)],_=b>>>24,v=b>>>16&255,g=b&65535,!(y+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=y,c-=y,n.back+=y}if(u>>>=_,c-=_,n.back+=_,v&64){e.msg="invalid distance code",n.mode=Vn;break}n.offset=g,n.extra=v&15,n.mode=CP;case CP:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.offset+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Vn;break}n.mode=EP;case EP:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Vn;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=s-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[s++]=m[p++];while(--h);n.length===0&&(n.mode=ky);break;case TP:if(l===0)break e;i[s++]=n.length,l--,n.mode=ky;break;case U2:if(n.wrap){for(;c<32;){if(a===0)break e;a--,u|=r[o++]<<c,c+=8}if(f-=l,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Qr(n.check,i,f,s-f):wg(n.check,i,f,s-f)),f=l,n.wrap&4&&(n.flags?u:PP(u))!==n.check){e.msg="incorrect data check",n.mode=Vn;break}u=0,c=0}n.mode=AP;case AP:if(n.wrap&&n.flags){for(;c<32;){if(a===0)break 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ut<"u"?ut:globalThis):function(W){return(vo||(vo=Promise.resolve())).then(W).catch(function(J){return setTimeout(function(){throw J},0)})};function si(W){for(var J=[],te=1;te<arguments.length;te++)J[te-1]=arguments[te];Object.assign.apply(Object,i([W],J))}var ml=y(Ih),Fo=Symbol(),Hr=function(){return{name:Fo,init:function(W,J,te){var le=J.baseQuery,re=J.reducerPath,De=J.serializeQueryArgs,ze=J.keepUnusedDataFor,rt=J.refetchOnMountOrArgChange,Oe=J.refetchOnFocus,Ue=J.refetchOnReconnect;(0,ml.enablePatches)();var Ae=function(Je){return Je};Object.assign(W,{reducerPath:re,endpoints:{},internalActions:{onOnline:U,onOffline:V,onFocus:I,onFocusLost:F},util:{}});var ne=function(Je){var tn=this,Wt=Je.reducerPath,Xn=Je.baseQuery,hr=Je.context.endpointDefinitions,li=Je.serializeQueryArgs,cn=Je.api,kt=function(ve,Xe){return S(tn,[ve,Xe],function(Le,Ce){var je,st,$e,_e,se,Se,ue,fe,be,Qe,Ge,Ee,wt,Dt=Ce.signal,Lt=Ce.abort,Qn=Ce.rejectWithValue,sr=Ce.fulfillWithValue,Rn=Ce.dispatch,_n=Ce.getState,Ui=Ce.extra;return r(this,function($){switch($.label){case 0:je=hr[Le.endpointName],$.label=1;case 1:return $.trys.push([1,8,,13]),st=_r,$e=void 0,_e={signal:Dt,abort:Lt,dispatch:Rn,getState:_n,extra:Ui,endpoint:Le.endpointName,type:Le.type,forced:Le.type==="query"?Ft(Le,_n()):void 0},(se=Le.type==="query"?Le[et]:void 0)?($e=se(),[3,6]):[3,2];case 2:return je.query?[4,Xn(je.query(Le.originalArgs),_e,je.extraOptions)]:[3,4];case 3:return $e=$.sent(),je.transformResponse&&(st=je.transformResponse),[3,6];case 4:return[4,je.queryFn(Le.originalArgs,_e,je.extraOptions,function(G){return Xn(G,_e,je.extraOptions)})];case 5:$e=$.sent(),$.label=6;case 6:if($e.error)throw new P($e.error,$e.meta);return Se=sr,[4,st($e.data,$e.meta,Le.originalArgs)];case 7:return[2,Se.apply(void 0,[$.sent(),(Ee={fulfilledTimeStamp:Date.now(),baseQueryMeta:$e.meta},Ee[Gt.SHOULD_AUTOBATCH]=!0,Ee)])];case 8:if(ue=$.sent(),!((fe=ue)instanceof P))return[3,12];be=_r,je.query&&je.transformErrorResponse&&(be=je.transformErrorResponse),$.label=9;case 9:return $.trys.push([9,11,,12]),Qe=Qn,[4,be(fe.value,fe.meta,Le.originalArgs)];case 10:return[2,Qe.apply(void 0,[$.sent(),(wt={baseQueryMeta:fe.meta},wt[Gt.SHOULD_AUTOBATCH]=!0,wt)])];case 11:return Ge=$.sent(),fe=Ge,[3,12];case 12:throw console.error(fe),fe;case 13:return[2]}})})};function Ft(ve,Xe){var Le,Ce,je,st,$e=(Ce=(Le=Xe[Wt])==null?void 0:Le.queries)==null?void 0:Ce[ve.queryCacheKey],_e=(je=Xe[Wt])==null?void 0:je.config.refetchOnMountOrArgChange,se=$e==null?void 0:$e.fulfilledTimeStamp,Se=(st=ve.forceRefetch)!=null?st:ve.subscribe&&_e;return!!Se&&(Se===!0||(Number(new Date)-Number(se))/1e3>=Se)}var dn=(0,Gt.createAsyncThunk)(Wt+"/executeQuery",kt,{getPendingMeta:function(){var ve;return(ve={startedTimeStamp:Date.now()})[Gt.SHOULD_AUTOBATCH]=!0,ve},condition:function(ve,Xe){var Le,Ce,je,st=(0,Xe.getState)(),$e=(Ce=(Le=st[Wt])==null?void 0:Le.queries)==null?void 0:Ce[ve.queryCacheKey],_e=$e==null?void 0:$e.fulfilledTimeStamp,se=ve.originalArgs,Se=$e==null?void 0:$e.originalArgs,ue=hr[ve.endpointName];return!(!Ne(ve)&&(($e==null?void 0:$e.status)==="pending"||!Ft(ve,st)&&(!ee(ue)||!((je=ue==null?void 0:ue.forceRefetch)!=null&&je.call(ue,{currentArg:se,previousArg:Se,endpointState:$e,state:st})))&&_e))},dispatchConditionRejection:!0}),Kt=(0,Gt.createAsyncThunk)(Wt+"/executeMutation",kt,{getPendingMeta:function(){var ve;return(ve={startedTimeStamp:Date.now()})[Gt.SHOULD_AUTOBATCH]=!0,ve}});function on(ve){return function(Xe){var Le,Ce;return((Ce=(Le=Xe==null?void 0:Xe.meta)==null?void 0:Le.arg)==null?void 0:Ce.endpointName)===ve}}return{queryThunk:dn,mutationThunk:Kt,prefetch:function(ve,Xe,Le){return function(Ce,je){var st=function(ue){return"force"in ue}(Le)&&Le.force,$e=function(ue){return"ifOlderThan"in ue}(Le)&&Le.ifOlderThan,_e=function(ue){return ue===void 0&&(ue=!0),cn.endpoints[ve].initiate(Xe,{forceRefetch:ue})},se=cn.endpoints[ve].select(Xe)(je());if(st)Ce(_e());else if($e){var Se=se==null?void 0:se.fulfilledTimeStamp;if(!Se)return void Ce(_e());(Number(new Date)-Number(new Date(Se)))/1e3>=$e&&Ce(_e())}else Ce(_e(!1))}},updateQueryData:function(ve,Xe,Le){return function(Ce,je){var st,$e,_e=cn.endpoints[ve].select(Xe)(je()),se={patches:[],inversePatches:[],undo:function(){return Ce(cn.util.patchQueryData(ve,Xe,se.inversePatches))}};if(_e.status===t.uninitialized)return se;if("data"in _e)if((0,Te.isDraftable)(_e.data)){var Se=(0,Te.produceWithPatches)(_e.data,Le),ue=Se[2];(st=se.patches).push.apply(st,Se[1]),($e=se.inversePatches).push.apply($e,ue)}else{var fe=Le(_e.data);se.patches.push({op:"replace",path:[],value:fe}),se.inversePatches.push({op:"replace",path:[],value:_e.data})}return Ce(cn.util.patchQueryData(ve,Xe,se.patches)),se}},upsertQueryData:function(ve,Xe,Le){return function(Ce){var je;return Ce(cn.endpoints[ve].initiate(Xe,((je={subscribe:!1,forceRefetch:!0})[et]=function(){return{data:Le}},je)))}},patchQueryData:function(ve,Xe,Le){return function(Ce){Ce(cn.internalActions.queryResultPatched({queryCacheKey:li({queryArgs:Xe,endpointDefinition:hr[ve],endpointName:ve}),patches:Le}))}},buildMatchThunkActions:function(ve,Xe){return{matchPending:(0,lt.isAllOf)((0,lt.isPending)(ve),on(Xe)),matchFulfilled:(0,lt.isAllOf)((0,lt.isFulfilled)(ve),on(Xe)),matchRejected:(0,lt.isAllOf)((0,lt.isRejected)(ve),on(Xe))}}}}({baseQuery:le,reducerPath:re,context:te,api:W,serializeQueryArgs:De}),ye=ne.queryThunk,We=ne.mutationThunk,Ke=ne.patchQueryData,it=ne.updateQueryData,ot=ne.upsertQueryData,ft=ne.prefetch,vt=ne.buildMatchThunkActions,St=function(Je){var tn=Je.reducerPath,Wt=Je.queryThunk,Xn=Je.mutationThunk,hr=Je.context,li=hr.endpointDefinitions,cn=hr.apiUid,kt=hr.extractRehydrationInfo,Ft=hr.hasRehydrationInfo,dn=Je.assertTagType,Kt=Je.config,on=(0,ae.createAction)(tn+"/resetApiState"),ve=(0,ae.createSlice)({name:tn+"/queries",initialState:jr,reducers:{removeQueryResult:{reducer:function(_e,se){delete _e[se.payload.queryCacheKey]},prepare:(0,ae.prepareAutoBatched)()},queryResultPatched:function(_e,se){var Se=se.payload,ue=Se.patches;An(_e,Se.queryCacheKey,function(fe){fe.data=(0,Ht.applyPatches)(fe.data,ue.concat())})}},extraReducers:function(_e){_e.addCase(Wt.pending,function(se,Se){var ue,fe=Se.meta,be=Se.meta.arg,Qe=Ne(be);(be.subscribe||Qe)&&(se[ue=be.queryCacheKey]!=null||(se[ue]={status:t.uninitialized,endpointName:be.endpointName})),An(se,be.queryCacheKey,function(Ge){Ge.status=t.pending,Ge.requestId=Qe&&Ge.requestId?Ge.requestId:fe.requestId,be.originalArgs!==void 0&&(Ge.originalArgs=be.originalArgs),Ge.startedTimeStamp=fe.startedTimeStamp})}).addCase(Wt.fulfilled,function(se,Se){var ue=Se.meta,fe=Se.payload;An(se,ue.arg.queryCacheKey,function(be){var Qe;if(be.requestId===ue.requestId||Ne(ue.arg)){var Ge=li[ue.arg.endpointName].merge;if(be.status=t.fulfilled,Ge)if(be.data!==void 0){var Ee=ue.fulfilledTimeStamp,wt=ue.arg,Dt=ue.baseQueryMeta,Lt=ue.requestId,Qn=(0,ae.createNextState)(be.data,function(sr){return Ge(sr,fe,{arg:wt.originalArgs,baseQueryMeta:Dt,fulfilledTimeStamp:Ee,requestId:Lt})});be.data=Qn}else be.data=fe;else be.data=(Qe=li[ue.arg.endpointName].structuralSharing)==null||Qe?E((0,vn.isDraft)(be.data)?(0,Ht.original)(be.data):be.data,fe):fe;delete be.error,be.fulfilledTimeStamp=ue.fulfilledTimeStamp}})}).addCase(Wt.rejected,function(se,Se){var ue=Se.meta,fe=ue.condition,be=ue.requestId,Qe=Se.error,Ge=Se.payload;An(se,ue.arg.queryCacheKey,function(Ee){if(!fe){if(Ee.requestId!==be)return;Ee.status=t.rejected,Ee.error=Ge??Qe}})}).addMatcher(Ft,function(se,Se){for(var ue=kt(Se).queries,fe=0,be=Object.entries(ue);fe<be.length;fe++){var Qe=be[fe],Ge=Qe[1];(Ge==null?void 0:Ge.status)!==t.fulfilled&&(Ge==null?void 0:Ge.status)!==t.rejected||(se[Qe[0]]=Ge)}})}}),Xe=(0,ae.createSlice)({name:tn+"/mutations",initialState:jr,reducers:{removeMutationResult:{reducer:function(_e,se){var Se=br(se.payload);Se in _e&&delete _e[Se]},prepare:(0,ae.prepareAutoBatched)()}},extraReducers:function(_e){_e.addCase(Xn.pending,function(se,Se){var ue=Se.meta,fe=ue.requestId,be=ue.arg,Qe=ue.startedTimeStamp;be.track&&(se[br(Se.meta)]={requestId:fe,status:t.pending,endpointName:be.endpointName,startedTimeStamp:Qe})}).addCase(Xn.fulfilled,function(se,Se){var ue=Se.payload,fe=Se.meta;fe.arg.track&&eo(se,fe,function(be){be.requestId===fe.requestId&&(be.status=t.fulfilled,be.data=ue,be.fulfilledTimeStamp=fe.fulfilledTimeStamp)})}).addCase(Xn.rejected,function(se,Se){var ue=Se.payload,fe=Se.error,be=Se.meta;be.arg.track&&eo(se,be,function(Qe){Qe.requestId===be.requestId&&(Qe.status=t.rejected,Qe.error=ue??fe)})}).addMatcher(Ft,function(se,Se){for(var ue=kt(Se).mutations,fe=0,be=Object.entries(ue);fe<be.length;fe++){var Qe=be[fe],Ge=Qe[0],Ee=Qe[1];(Ee==null?void 0:Ee.status)!==t.fulfilled&&(Ee==null?void 0:Ee.status)!==t.rejected||Ge===(Ee==null?void 0:Ee.requestId)||(se[Ge]=Ee)}})}}),Le=(0,ae.createSlice)({name:tn+"/invalidation",initialState:jr,reducers:{},extraReducers:function(_e){_e.addCase(ve.actions.removeQueryResult,function(se,Se){for(var ue=Se.payload.queryCacheKey,fe=0,be=Object.values(se);fe<be.length;fe++)for(var Qe=0,Ge=Object.values(be[fe]);Qe<Ge.length;Qe++){var Ee=Ge[Qe],wt=Ee.indexOf(ue);wt!==-1&&Ee.splice(wt,1)}}).addMatcher(Ft,function(se,Se){for(var ue,fe,be,Qe,Ge=kt(Se).provided,Ee=0,wt=Object.entries(Ge);Ee<wt.length;Ee++)for(var Dt=wt[Ee],Lt=Dt[0],Qn=0,sr=Object.entries(Dt[1]);Qn<sr.length;Qn++)for(var Rn=sr[Qn],_n=Rn[0],Ui=Rn[1],$=(Qe=(fe=(ue=se[Lt])!=null?ue:se[Lt]={})[be=_n||"__internal_without_id"])!=null?Qe:fe[be]=[],G=0,X=Ui;G<X.length;G++){var de=X[G];$.includes(de)||$.push(de)}}).addMatcher((0,ae.isAnyOf)((0,ae.isFulfilled)(Wt),(0,ae.isRejectedWithValue)(Wt)),function(se,Se){for(var ue,fe,be,Qe,Ge=Tn(Se,"providesTags",li,dn),Ee=Se.meta.arg.queryCacheKey,wt=0,Dt=Object.values(se);wt<Dt.length;wt++)for(var Lt=0,Qn=Object.values(Dt[wt]);Lt<Qn.length;Lt++){var sr=Qn[Lt],Rn=sr.indexOf(Ee);Rn!==-1&&sr.splice(Rn,1)}for(var _n=0,Ui=Ge;_n<Ui.length;_n++){var $=Ui[_n],G=$.type,X=$.id,de=(Qe=(fe=(ue=se[G])!=null?ue:se[G]={})[be=X||"__internal_without_id"])!=null?Qe:fe[be]=[];de.includes(Ee)||de.push(Ee)}})}}),Ce=(0,ae.createSlice)({name:tn+"/subscriptions",initialState:jr,reducers:{updateSubscriptionOptions:function(_e,se){},unsubscribeQueryResult:function(_e,se){},internal_probeSubscription:function(_e,se){}}}),je=(0,ae.createSlice)({name:tn+"/internalSubscriptions",initialState:jr,reducers:{subscriptionsUpdated:{reducer:function(_e,se){return(0,Ht.applyPatches)(_e,se.payload)},prepare:(0,ae.prepareAutoBatched)()}}}),st=(0,ae.createSlice)({name:tn+"/config",initialState:b({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},Kt),reducers:{middlewareRegistered:function(_e,se){_e.middlewareRegistered=_e.middlewareRegistered!=="conflict"&&cn===se.payload||"conflict"}},extraReducers:function(_e){_e.addCase(U,function(se){se.online=!0}).addCase(V,function(se){se.online=!1}).addCase(I,function(se){se.focused=!0}).addCase(F,function(se){se.focused=!1}).addMatcher(Ft,function(se){return b({},se)})}}),$e=(0,ae.combineReducers)({queries:ve.reducer,mutations:Xe.reducer,provided:Le.reducer,subscriptions:je.reducer,config:st.reducer});return{reducer:function(_e,se){return $e(on.match(se)?void 0:_e,se)},actions:_(b(b(b(b(b({},st.actions),ve.actions),Ce.actions),je.actions),Xe.actions),{unsubscribeMutationResult:Xe.actions.removeMutationResult,resetApiState:on})}}({context:te,queryThunk:ye,mutationThunk:We,reducerPath:re,assertTagType:Ae,config:{refetchOnFocus:Oe,refetchOnReconnect:Ue,refetchOnMountOrArgChange:rt,keepUnusedDataFor:ze,reducerPath:re}}),Jt=St.reducer,en=St.actions;si(W.util,{patchQueryData:Ke,updateQueryData:it,upsertQueryData:ot,prefetch:ft,resetApiState:en.resetApiState}),si(W.internalActions,en);var Ci=function(Je){var tn=Je.reducerPath,Wt=Je.queryThunk,Xn=Je.api,hr=Je.context,li=hr.apiUid,cn={invalidateTags:(0,Ea.createAction)(tn+"/invalidateTags")},kt=[Ir,Pn,Or,wr,xi,oi];return{middleware:function(dn){var Kt=!1,on=_(b({},Je),{internalState:{currentSubscriptions:{}},refetchQuery:Ft}),ve=kt.map(function(Ce){return Ce(on)}),Xe=function(Ce){var je=Ce.api,st=Ce.queryThunk,$e=Ce.internalState,_e=je.reducerPath+"/subscriptions",se=null,Se=!1,ue=je.internalActions,fe=ue.updateSubscriptionOptions,be=ue.unsubscribeQueryResult;return function(Qe,Ge){var Ee,wt;if(se||(se=JSON.parse(JSON.stringify($e.currentSubscriptions))),je.util.resetApiState.match(Qe))return se=$e.currentSubscriptions={},[!0,!1];if(je.internalActions.internal_probeSubscription.match(Qe)){var Dt=Qe.payload;return[!1,!!((Ee=$e.currentSubscriptions[Dt.queryCacheKey])!=null&&Ee[Dt.requestId])]}var Lt=function(Rn,_n){var Ui,$,G,X,de,_t,nn,bn,Ct;if(fe.match(_n)){var fn=_n.payload,ui=fn.queryCacheKey,jn=fn.requestId;return(Ui=Rn==null?void 0:Rn[ui])!=null&&Ui[jn]&&(Rn[ui][jn]=fn.options),!0}if(be.match(_n)){var yl=_n.payload;return jn=yl.requestId,Rn[ui=yl.queryCacheKey]&&delete Rn[ui][jn],!0}if(je.internalActions.removeQueryResult.match(_n))return delete Rn[_n.payload.queryCacheKey],!0;if(st.pending.match(_n)){var td=_n.meta;if(jn=td.requestId,(rd=td.arg).subscribe)return(vl=(G=Rn[$=rd.queryCacheKey])!=null?G:Rn[$]={})[jn]=(de=(X=rd.subscriptionOptions)!=null?X:vl[jn])!=null?de:{},!0}if(st.rejected.match(_n)){var vl,nd=_n.meta,rd=nd.arg;if(jn=nd.requestId,nd.condition&&rd.subscribe)return(vl=(nn=Rn[_t=rd.queryCacheKey])!=null?nn:Rn[_t]={})[jn]=(Ct=(bn=rd.subscriptionOptions)!=null?bn:vl[jn])!=null?Ct:{},!0}return!1}($e.currentSubscriptions,Qe);if(Lt){Se||(Bs(function(){var Rn=JSON.parse(JSON.stringify($e.currentSubscriptions)),_n=(0,hs.produceWithPatches)(se,function(){return Rn});Ge.next(je.internalActions.subscriptionsUpdated(_n[1])),se=Rn,Se=!1}),Se=!0);var Qn=!!((wt=Qe.type)!=null&&wt.startsWith(_e)),sr=st.rejected.match(Qe)&&Qe.meta.condition&&!!Qe.meta.arg.subscribe;return[!Qn&&!sr,!1]}return[!0,!1]}}(on),Le=function(Ce){var je=Ce.reducerPath,st=Ce.context,$e=Ce.refetchQuery,_e=Ce.internalState,se=Ce.api.internalActions.removeQueryResult;function Se(ue,fe){var be=ue.getState()[je],Qe=be.queries,Ge=_e.currentSubscriptions;st.batch(function(){for(var Ee=0,wt=Object.keys(Ge);Ee<wt.length;Ee++){var Dt=wt[Ee],Lt=Qe[Dt],Qn=Ge[Dt];Qn&&Lt&&(Object.values(Qn).some(function(sr){return sr[fe]===!0})||Object.values(Qn).every(function(sr){return sr[fe]===void 0})&&be.config[fe])&&(Object.keys(Qn).length===0?ue.dispatch(se({queryCacheKey:Dt})):Lt.status!==t.uninitialized&&ue.dispatch($e(Lt,Dt)))}})}return function(ue,fe){I.match(ue)&&Se(fe,"refetchOnFocus"),U.match(ue)&&Se(fe,"refetchOnReconnect")}}(on);return function(Ce){return function(je){Kt||(Kt=!0,dn.dispatch(Xn.internalActions.middlewareRegistered(li)));var st,$e=_(b({},dn),{next:Ce}),_e=dn.getState(),se=Xe(je,$e,_e),Se=se[1];if(st=se[0]?Ce(je):Se,dn.getState()[tn]&&(Le(je,$e,_e),function(be){return!!be&&typeof be.type=="string"&&be.type.startsWith(tn+"/")}(je)||hr.hasRehydrationInfo(je)))for(var ue=0,fe=ve;ue<fe.length;ue++)(0,fe[ue])(je,$e,_e);return st}}},actions:cn};function Ft(dn,Kt,on){return on===void 0&&(on={}),Wt(b({type:"query",endpointName:dn.endpointName,originalArgs:dn.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:Kt},on))}}({reducerPath:re,context:te,queryThunk:ye,mutationThunk:We,api:W,assertTagType:Ae}),_o=Ci.middleware;si(W.util,Ci.actions),si(W,{reducer:Jt,middleware:_o});var Ei=function(Je){var tn=Je.serializeQueryArgs,Wt=Je.reducerPath,Xn=function(kt){return kn},hr=function(kt){return un};return{buildQuerySelector:function(kt,Ft){return function(dn){var Kt=tn({queryArgs:dn,endpointDefinition:Ft,endpointName:kt});return(0,K.createSelector)(dn===or?Xn:function(on){var ve,Xe,Le;return(Le=(Xe=(ve=cn(on))==null?void 0:ve.queries)==null?void 0:Xe[Kt])!=null?Le:kn},li)}},buildMutationSelector:function(){return function(kt){var Ft,dn;return dn=typeof kt=="object"?(Ft=br(kt))!=null?Ft:or:kt,(0,K.createSelector)(dn===or?hr:function(Kt){var on,ve,Xe;return(Xe=(ve=(on=cn(Kt))==null?void 0:on.mutations)==null?void 0:ve[dn])!=null?Xe:un},li)}},selectInvalidatedBy:function(kt,Ft){for(var dn,Kt=kt[Wt],on=new Set,ve=0,Xe=Ft.map(ge);ve<Xe.length;ve++){var Le=Xe[ve],Ce=Kt.provided[Le.type];if(Ce)for(var je=0,st=(dn=Le.id!==void 0?Ce[Le.id]:w(Object.values(Ce)))!=null?dn:[];je<st.length;je++)on.add(st[je])}return w(Array.from(on.values()).map(function($e){var _e=Kt.queries[$e];return _e?[{queryCacheKey:$e,endpointName:_e.endpointName,originalArgs:_e.originalArgs}]:[]}))}};function li(kt){return b(b({},kt),{status:Ft=kt.status,isUninitialized:Ft===t.uninitialized,isLoading:Ft===t.pending,isSuccess:Ft===t.fulfilled,isError:Ft===t.rejected});var Ft}function cn(kt){return kt[Wt]}}({serializeQueryArgs:De,reducerPath:re}),fr=Ei.buildQuerySelector,ai=Ei.buildMutationSelector;si(W.util,{selectInvalidatedBy:Ei.selectInvalidatedBy});var Un=function(Je){var tn=Je.serializeQueryArgs,Wt=Je.queryThunk,Xn=Je.mutationThunk,hr=Je.api,li=Je.context,cn=new Map,kt=new Map,Ft=hr.internalActions,dn=Ft.unsubscribeQueryResult,Kt=Ft.removeMutationResult,on=Ft.updateSubscriptionOptions;return{buildInitiateQuery:function(ve,Xe){var Le=function(Ce,je){var st=je===void 0?{}:je,$e=st.subscribe,_e=$e===void 0||$e,se=st.forceRefetch,Se=st.subscriptionOptions,ue=st[et];return function(fe,be){var Qe,Ge,Ee=tn({queryArgs:Ce,endpointDefinition:Xe,endpointName:ve}),wt=Wt(((Qe={type:"query",subscribe:_e,forceRefetch:se,subscriptionOptions:Se,endpointName:ve,originalArgs:Ce,queryCacheKey:Ee})[et]=ue,Qe)),Dt=hr.endpoints[ve].select(Ce),Lt=fe(wt),Qn=Dt(be()),sr=Lt.requestId,Rn=Lt.abort,_n=Qn.requestId!==sr,Ui=(Ge=cn.get(fe))==null?void 0:Ge[Ee],$=function(){return Dt(be())},G=Object.assign(ue?Lt.then($):_n&&!Ui?Promise.resolve(Qn):Promise.all([Ui,Lt]).then($),{arg:Ce,requestId:sr,subscriptionOptions:Se,queryCacheKey:Ee,abort:Rn,unwrap:function(){return S(this,null,function(){var de;return r(this,function(_t){switch(_t.label){case 0:return[4,G];case 1:if((de=_t.sent()).isError)throw de.error;return[2,de.data]}})})},refetch:function(){return fe(Le(Ce,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){_e&&fe(dn({queryCacheKey:Ee,requestId:sr}))},updateSubscriptionOptions:function(de){G.subscriptionOptions=de,fe(on({endpointName:ve,requestId:sr,queryCacheKey:Ee,options:de}))}});if(!Ui&&!_n&&!ue){var X=cn.get(fe)||{};X[Ee]=G,cn.set(fe,X),G.then(function(){delete X[Ee],Object.keys(X).length||cn.delete(fe)})}return G}};return Le},buildInitiateMutation:function(ve){return function(Xe,Le){var Ce=Le===void 0?{}:Le,je=Ce.track,st=je===void 0||je,$e=Ce.fixedCacheKey;return function(_e,se){var Se=Xn({type:"mutation",endpointName:ve,originalArgs:Xe,track:st,fixedCacheKey:$e}),ue=_e(Se),fe=ue.requestId,be=ue.abort,Qe=ue.unwrap,Ge=ue.unwrap().then(function(Lt){return{data:Lt}}).catch(function(Lt){return{error:Lt}}),Ee=function(){_e(Kt({requestId:fe,fixedCacheKey:$e}))},wt=Object.assign(Ge,{arg:ue.arg,requestId:fe,abort:be,unwrap:Qe,unsubscribe:Ee,reset:Ee}),Dt=kt.get(_e)||{};return kt.set(_e,Dt),Dt[fe]=wt,wt.then(function(){delete Dt[fe],Object.keys(Dt).length||kt.delete(_e)}),$e&&(Dt[$e]=wt,wt.then(function(){Dt[$e]===wt&&(delete Dt[$e],Object.keys(Dt).length||kt.delete(_e))})),wt}}},getRunningQueryThunk:function(ve,Xe){return function(Le){var Ce,je=tn({queryArgs:Xe,endpointDefinition:li.endpointDefinitions[ve],endpointName:ve});return(Ce=cn.get(Le))==null?void 0:Ce[je]}},getRunningMutationThunk:function(ve,Xe){return function(Le){var Ce;return(Ce=kt.get(Le))==null?void 0:Ce[Xe]}},getRunningQueriesThunk:function(){return function(ve){return Object.values(cn.get(ve)||{}).filter(dt)}},getRunningMutationsThunk:function(){return function(ve){return Object.values(kt.get(ve)||{}).filter(dt)}},getRunningOperationPromises:function(){var ve=function(Xe){return Array.from(Xe.values()).flatMap(function(Le){return Le?Object.values(Le):[]})};return i(i([],ve(cn)),ve(kt)).filter(dt)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
+       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
+       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:ye,mutationThunk:We,api:W,serializeQueryArgs:De,context:te}),ro=Un.buildInitiateQuery,ps=Un.buildInitiateMutation;return si(W.util,{getRunningOperationPromises:Un.getRunningOperationPromises,getRunningOperationPromise:Un.removalWarning,getRunningMutationThunk:Un.getRunningMutationThunk,getRunningMutationsThunk:Un.getRunningMutationsThunk,getRunningQueryThunk:Un.getRunningQueryThunk,getRunningQueriesThunk:Un.getRunningQueriesThunk}),{name:Fo,injectEndpoint:function(Je,tn){var Wt,Xn=W;(Wt=Xn.endpoints)[Je]!=null||(Wt[Je]={}),ee(tn)?si(Xn.endpoints[Je],{name:Je,select:fr(Je,tn),initiate:ro(Je,tn)},vt(ye,Je)):tn.type===Q.mutation&&si(Xn.endpoints[Je],{name:Je,select:ai(),initiate:ps(Je)},vt(We,Je))}}}}},Ta=to(Hr())})(y$);m$.exports=y$;var jce=m$.exports;const he=gu.injectEndpoints({endpoints:e=>({listImages:e.query({query:t=>({url:wo(t),method:"GET"}),providesTags:(t,n,{board_id:r,categories:i})=>[{type:"ImageList",id:wo({board_id:r,categories:i})}],serializeQueryArgs:({queryArgs:t})=>{const{board_id:n,categories:r}=t;return wo({board_id:n,categories:r})},transformResponse(t){const{items:n}=t;return Mn.addMany(Mn.getInitialState(),n)},merge:(t,n)=>{Mn.addMany(t,i1.selectAll(n))},forceRefetch({currentArg:t,previousArg:n}){return(t==null?void 0:t.offset)!==(n==null?void 0:n.offset)},async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r;i1.selectAll(i).forEach(o=>{n(he.util.upsertQueryData("getImageDTO",o.image_name,o))})}catch{}},keepUnusedDataFor:86400}),getIntermediatesCount:e.query({query:()=>({url:wo({is_intermediate:!0})}),providesTags:["IntermediatesCount"],transformResponse:t=>t.total}),getImageDTO:e.query({query:t=>({url:`images/i/${t}`}),providesTags:(t,n,r)=>[{type:"Image",id:r}],keepUnusedDataFor:86400}),getImageMetadata:e.query({query:t=>({url:`images/i/${t}/metadata`}),providesTags:(t,n,r)=>[{type:"ImageMetadata",id:r}],keepUnusedDataFor:86400}),getImageMetadataFromFile:e.query({queryFn:async(t,n,r)=>{const i=Of.get(),o=yg.get(),a=await jce.fetchBaseQuery({baseUrl:"",prepareHeaders:u=>(i&&u.set("Authorization",`Bearer ${i}`),o&&u.set("project-id",o),u),responseHandler:async u=>await u.blob()})(t.image_url,n,r);return{data:await Vle(a.data)}},providesTags:(t,n,r)=>[{type:"ImageMetadataFromFile",id:r.image_name}],keepUnusedDataFor:86400}),clearIntermediates:e.mutation({query:()=>({url:"images/clear-intermediates",method:"POST"}),invalidatesTags:["IntermediatesCount"]}),deleteImage:e.mutation({query:({image_name:t})=>({url:`images/i/${t}`,method:"DELETE"}),invalidatesTags:(t,n,{board_id:r})=>[{type:"BoardImagesTotal",id:r??"none"},{type:"BoardAssetsTotal",id:r??"none"}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){const{image_name:i,board_id:o}=t,s={board_id:o??"none",categories:Bo(t)},a=n(he.util.updateQueryData("listImages",s,l=>{Mn.removeOne(l,i)}));try{await r}catch{a.undo()}}}),deleteImages:e.mutation({query:({imageDTOs:t})=>({url:"images/delete",method:"POST",body:{image_names:t.map(r=>r.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{var o;const i=(o=r[0])==null?void 0:o.board_id;return[{type:"BoardImagesTotal",id:i??"none"},{type:"BoardAssetsTotal",id:i??"none"}]},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,o=pE(t,"image_name");i.deleted_images.forEach(s=>{const a=o[s];if(a){const l={board_id:a.board_id??"none",categories:Bo(a)};n(he.util.updateQueryData("listImages",l,u=>{Mn.removeOne(u,s)}))}})}catch{}}}),changeImageIsIntermediate:e.mutation({query:({imageDTO:t,is_intermediate:n})=>({url:`images/i/${t.image_name}`,method:"PATCH",body:{is_intermediate:n}}),invalidatesTags:(t,n,{imageDTO:r})=>[{type:"BoardImagesTotal",id:r.board_id??"none"},{type:"BoardAssetsTotal",id:r.board_id??"none"}],async onQueryStarted({imageDTO:t,is_intermediate:n},{dispatch:r,queryFulfilled:i,getState:o}){const s=[];s.push(r(he.util.updateQueryData("getImageDTO",t.image_name,l=>{Object.assign(l,{is_intermediate:n})})));const a=Bo(t);if(n)s.push(r(he.util.updateQueryData("listImages",{board_id:t.board_id??"none",categories:a},l=>{Mn.removeOne(l,t.image_name)})));else{const l={board_id:t.board_id??"none",categories:a},u=he.endpoints.listImages.select(l)(o()),{data:c}=Kr.includes(t.image_category)?fi.endpoints.getBoardImagesTotal.select(t.board_id??"none")(o()):fi.endpoints.getBoardAssetsTotal.select(t.board_id??"none")(o()),d=u.data&&u.data.ids.length>=(c??0),f=Fu(u.data,t);(d||f)&&s.push(r(he.util.updateQueryData("listImages",l,h=>{Mn.upsertOne(h,t)})))}try{await i}catch{s.forEach(l=>l.undo())}}}),changeImageSessionId:e.mutation({query:({imageDTO:t,session_id:n})=>({url:`images/i/${t.image_name}`,method:"PATCH",body:{session_id:n}}),invalidatesTags:(t,n,{imageDTO:r})=>[{type:"BoardImagesTotal",id:r.board_id??"none"},{type:"BoardAssetsTotal",id:r.board_id??"none"}],async onQueryStarted({imageDTO:t,session_id:n},{dispatch:r,queryFulfilled:i}){const o=[];o.push(r(he.util.updateQueryData("getImageDTO",t.image_name,s=>{Object.assign(s,{session_id:n})})));try{await i}catch{o.forEach(s=>s.undo())}}}),starImages:e.mutation({query:({imageDTOs:t})=>({url:"images/star",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{if(r[0]){const i=Bo(r[0]),o=r[0].board_id;return[{type:"ImageList",id:wo({board_id:o,categories:i})}]}return[]},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,s=t.filter(u=>o.updated_image_names.includes(u.image_name));if(!s[0])return;const a=Bo(s[0]),l=s[0].board_id;s.forEach(u=>{const{image_name:c}=u;n(he.util.updateQueryData("getImageDTO",c,b=>{b.starred=!0}));const d={board_id:l??"none",categories:a},f=he.endpoints.listImages.select(d)(i()),{data:h}=Kr.includes(u.image_category)?fi.endpoints.getBoardImagesTotal.select(l??"none")(i()):fi.endpoints.getBoardAssetsTotal.select(l??"none")(i()),p=f.data&&f.data.ids.length>=(h??0),m=(h||0)>=xy?Fu(f.data,u):!0;(p||m)&&n(he.util.updateQueryData("listImages",d,b=>{Mn.upsertOne(b,{...u,starred:!0})}))})}catch{}}}),unstarImages:e.mutation({query:({imageDTOs:t})=>({url:"images/unstar",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{if(r[0]){const i=Bo(r[0]),o=r[0].board_id;return[{type:"ImageList",id:wo({board_id:o,categories:i})}]}return[]},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,s=t.filter(u=>o.updated_image_names.includes(u.image_name));if(!s[0])return;const a=Bo(s[0]),l=s[0].board_id;s.forEach(u=>{const{image_name:c}=u;n(he.util.updateQueryData("getImageDTO",c,b=>{b.starred=!1}));const d={board_id:l??"none",categories:a},f=he.endpoints.listImages.select(d)(i()),{data:h}=Kr.includes(u.image_category)?fi.endpoints.getBoardImagesTotal.select(l??"none")(i()):fi.endpoints.getBoardAssetsTotal.select(l??"none")(i()),p=f.data&&f.data.ids.length>=(h??0),m=(h||0)>=xy?Fu(f.data,u):!0;(p||m)&&n(he.util.updateQueryData("listImages",d,b=>{Mn.upsertOne(b,{...u,starred:!1})}))})}catch{}}}),uploadImage:e.mutation({query:({file:t,image_category:n,is_intermediate:r,session_id:i,board_id:o,crop_visible:s})=>{const a=new FormData;return a.append("file",t),{url:"images/upload",method:"POST",body:a,params:{image_category:n,is_intermediate:r,session_id:i,board_id:o==="none"?void 0:o,crop_visible:s}}},async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r;if(i.is_intermediate)return;n(he.util.upsertQueryData("getImageDTO",i.image_name,i));const o=Bo(i);n(he.util.updateQueryData("listImages",{board_id:i.board_id??"none",categories:o},s=>{Mn.addOne(s,i)})),n(he.util.invalidateTags([{type:"BoardImagesTotal",id:i.board_id??"none"},{type:"BoardAssetsTotal",id:i.board_id??"none"}]))}catch{}}}),deleteBoard:e.mutation({query:t=>({url:`boards/${t}`,method:"DELETE"}),invalidatesTags:()=>[{type:"Board",id:ht},{type:"ImageList",id:wo({board_id:"none",categories:Kr})},{type:"ImageList",id:wo({board_id:"none",categories:Ul})},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,{deleted_board_images:o}=i;o.forEach(l=>{n(he.util.updateQueryData("getImageDTO",l,u=>{u.board_id=void 0}))});const s=[{categories:Kr},{categories:Ul}],a=o.map(l=>({id:l,changes:{board_id:void 0}}));s.forEach(l=>{n(he.util.updateQueryData("listImages",l,u=>{Mn.updateMany(u,a)}))})}catch{}}}),deleteBoardAndImages:e.mutation({query:t=>({url:`boards/${t}`,method:"DELETE",params:{include_images:!0}}),invalidatesTags:()=>[{type:"Board",id:ht},{type:"ImageList",id:wo({board_id:"none",categories:Kr})},{type:"ImageList",id:wo({board_id:"none",categories:Ul})},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,{deleted_images:o}=i;[{categories:Kr},{categories:Ul}].forEach(a=>{n(he.util.updateQueryData("listImages",a,l=>{Mn.removeMany(l,o)}))})}catch{}}}),addImageToBoard:e.mutation({query:({board_id:t,imageDTO:n})=>{const{image_name:r}=n;return{url:"board_images/",method:"POST",body:{board_id:t,image_name:r}}},invalidatesTags:(t,n,{board_id:r,imageDTO:i})=>[{type:"Board",id:r},{type:"BoardImagesTotal",id:r},{type:"BoardAssetsTotal",id:r},{type:"BoardImagesTotal",id:i.board_id??"none"},{type:"BoardAssetsTotal",id:i.board_id??"none"}],async onQueryStarted({board_id:t,imageDTO:n},{dispatch:r,queryFulfilled:i,getState:o}){const s=[],a=Bo(n);if(s.push(r(he.util.updateQueryData("getImageDTO",n.image_name,l=>{l.board_id=t}))),!n.is_intermediate){s.push(r(he.util.updateQueryData("listImages",{board_id:n.board_id??"none",categories:a},h=>{Mn.removeOne(h,n.image_name)})));const l={board_id:t??"none",categories:a},u=he.endpoints.listImages.select(l)(o()),{data:c}=Kr.includes(n.image_category)?fi.endpoints.getBoardImagesTotal.select(n.board_id??"none")(o()):fi.endpoints.getBoardAssetsTotal.select(n.board_id??"none")(o()),d=u.data&&u.data.ids.length>=(c??0),f=Fu(u.data,n);(d||f)&&s.push(r(he.util.updateQueryData("listImages",l,h=>{Mn.addOne(h,n)})))}try{await i}catch{s.forEach(l=>l.undo())}}}),removeImageFromBoard:e.mutation({query:({imageDTO:t})=>{const{image_name:n}=t;return{url:"board_images/",method:"DELETE",body:{image_name:n}}},invalidatesTags:(t,n,{imageDTO:r})=>{const{board_id:i}=r;return[{type:"Board",id:i??"none"},{type:"BoardImagesTotal",id:i??"none"},{type:"BoardAssetsTotal",id:i??"none"},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}]},async onQueryStarted({imageDTO:t},{dispatch:n,queryFulfilled:r,getState:i}){const o=Bo(t),s=[];s.push(n(he.util.updateQueryData("getImageDTO",t.image_name,f=>{f.board_id=void 0}))),s.push(n(he.util.updateQueryData("listImages",{board_id:t.board_id??"none",categories:o},f=>{Mn.removeOne(f,t.image_name)})));const a={board_id:"none",categories:o},l=he.endpoints.listImages.select(a)(i()),{data:u}=Kr.includes(t.image_category)?fi.endpoints.getBoardImagesTotal.select(t.board_id??"none")(i()):fi.endpoints.getBoardAssetsTotal.select(t.board_id??"none")(i()),c=l.data&&l.data.ids.length>=(u??0),d=Fu(l.data,t);(c||d)&&s.push(n(he.util.updateQueryData("listImages",a,f=>{Mn.upsertOne(f,t)})));try{await r}catch{s.forEach(f=>f.undo())}}}),addImagesToBoard:e.mutation({query:({board_id:t,imageDTOs:n})=>({url:"board_images/batch",method:"POST",body:{image_names:n.map(r=>r.image_name),board_id:t}}),invalidatesTags:(t,n,{imageDTOs:r,board_id:i})=>{var s;const o=(s=r[0])==null?void 0:s.board_id;return[{type:"Board",id:i??"none"},{type:"BoardImagesTotal",id:i??"none"},{type:"BoardAssetsTotal",id:i??"none"},{type:"BoardImagesTotal",id:o??"none"},{type:"BoardAssetsTotal",id:o??"none"},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}]},async onQueryStarted({board_id:t,imageDTOs:n},{dispatch:r,queryFulfilled:i,getState:o}){try{const{data:s}=await i,{added_image_names:a}=s;a.forEach(l=>{r(he.util.updateQueryData("getImageDTO",l,_=>{_.board_id=t}));const u=n.find(_=>_.image_name===l);if(!u)return;const c=Bo(u),d=u.board_id;r(he.util.updateQueryData("listImages",{board_id:d??"none",categories:c},_=>{Mn.removeOne(_,u.image_name)}));const 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0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!tye(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,c=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(c){const y=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${y}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${y}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const d=this.resolve(t,n);let f=d&&d.res;const h=d&&d.usedKey||s,p=d&&d.exactUsedKey||s,m=Object.prototype.toString.apply(f),b=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,v=!this.i18nFormat||this.i18nFormat.handleAsObject;if(v&&f&&(typeof f!="string"&&typeof f!="boolean"&&typeof f!="number")&&b.indexOf(m)<0&&!(typeof _=="string"&&m==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const y=this.options.returnedObjectHandler?this.options.returnedObjectHandler(h,f,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(d.res=y,d):y}if(o){const y=m==="[object Array]",S=y?[]:{},w=y?p:h;for(const x in f)if(Object.prototype.hasOwnProperty.call(f,x)){const E=`${w}${o}${x}`;S[x]=this.translate(E,{...n,joinArrays:!1,ns:a}),S[x]===E&&(S[x]=f[x])}f=S}}else if(v&&typeof _=="string"&&m==="[object Array]")f=f.join(_),f&&(f=this.extendTranslation(f,t,n,r));else{let y=!1,S=!1;const w=n.count!==void 0&&typeof n.count!="string",x=b1.hasDefaultValue(n),E=w?this.pluralResolver.getSuffix(u,n.count,n):"",A=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",T=n[`defaultValue${E}`]||n[`defaultValue${A}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(y=!0,f=T),this.isValidLookup(f)||(S=!0,f=s);const L=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&S?void 0:f,N=x&&T!==f&&this.options.updateMissing;if(S||y||N){if(this.logger.log(N?"updateKey":"missingKey",u,l,s,N?T:f),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let C=[];const P=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&P&&P[0])for(let B=0;B<P.length;B++)C.push(P[B]);else this.options.saveMissingTo==="all"?C=this.languageUtils.toResolveHierarchy(n.lng||this.language):C.push(n.lng||this.language);const D=(B,R,O)=>{const I=x&&O!==f?O:L;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,R,I,N,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,R,I,N,n),this.emit("missingKey",B,l,R,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?C.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(R=>{D([B],s+R,n[`defaultValue${R}`]||T)})}):D(C,s,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(S||y)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,y?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):s.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=wB.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(b=>{this.isValidLookup(r)||(a=b,!_8[`${m[0]}-${b}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(_8[`${m[0]}-${b}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(_=>{if(this.isValidLookup(r))return;s=_;const v=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(v,c,_,b,n);else{let y;f&&(y=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(v.push(c+y),n.ordinal&&y.indexOf(w)===0&&v.push(c+y.replace(w,this.options.pluralSeparator)),h&&v.push(c+S)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;v.push(x),f&&(v.push(x+y),n.ordinal&&y.indexOf(w)===0&&v.push(x+y.replace(w,this.options.pluralSeparator)),h&&v.push(x+S))}}let g;for(;g=v.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function pw(e){return e.charAt(0).toUpperCase()+e.slice(1)}class b8{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=na.create("languageUtils")}getScriptPartFromCode(t){if(t=_1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=_1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=pw(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=pw(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=pw(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let nye=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],rye={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const iye=["v1","v2","v3"],oye=["v4"],S8={zero:0,one:1,two:2,few:3,many:4,other:5};function sye(){const e={};return nye.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:rye[t.fc]}})}),e}class aye{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=na.create("pluralResolver"),(!this.options.compatibilityJSON||oye.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=sye()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(_1(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>S8[i]-S8[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!iye.includes(this.options.compatibilityJSON)}}function w8(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Yme(e,t,n);return!o&&i&&typeof n=="string"&&(o=v1(e,n,r),o===void 0&&(o=v1(t,n,r))),o}class lye{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=na.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Jme,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?hd(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?hd(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?hd(n.nestingPrefix):n.nestingPrefixEscaped||hd("$t("),this.nestingSuffix=n.nestingSuffix?hd(n.nestingSuffix):n.nestingSuffixEscaped||hd(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(p){return p.replace(/\$/g,"$$$$")}const c=p=>{if(p.indexOf(this.formatSeparator)<0){const v=w8(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(v,void 0,r,{...i,...n,interpolationkey:p}):v}const m=p.split(this.formatSeparator),b=m.shift().trim(),_=m.join(this.formatSeparator).trim();return this.format(w8(n,l,b,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:b})};this.resetRegExp();const d=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,f=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 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t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function pd(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(_1(i),o),t[s]=a),a(r)}}class cye{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=na.create("formatter"),this.options=t,this.formats={number:pd((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:pd((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:pd((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:pd((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:pd((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=pd(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=uye(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else 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0&&(l[d]=!0)))}),c||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{Qme(l.loaded,[o],s),dye(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const c=l.loaded[u];c.length&&c.forEach(d=>{a[u][d]===void 0&&(a[u][d]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,c)=>{if(this.readingCalls--,this.waitingReads.length>0){const d=this.waitingReads.shift();this.read(d.lng,d.ns,d.fcName,d.tried,d.wait,d.callback)}if(u&&c&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,c)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(c=>a(null,c)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>a(null,d)).catch(a):a(null,c)}catch(c){a(c)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function x8(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function C8(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Hy(){}function hye(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class $g extends Ob{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=C8(t),this.services={},this.logger=na,this.modules={external:[]},hye(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=x8();this.options={...i,...this.options,...C8(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?na.init(o(this.modules.logger),this.options):na.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=cye);const d=new b8(this.options);this.store=new v8(this.options.resources,this.options);const f=this.services;f.logger=na,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new aye(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new lye(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new fye(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.languageDetector&&(f.languageDetector=o(this.modules.languageDetector),f.languageDetector.init&&f.languageDetector.init(f,this.options.detection,this.options)),this.modules.i18nFormat&&(f.i18nFormat=o(this.modules.i18nFormat),f.i18nFormat.init&&f.i18nFormat.init(this)),this.translator=new b1(this.services,this.options),this.translator.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.external.forEach(h=>{h.init&&h.init(this)})}if(this.format=this.options.interpolation.format,r||(r=Hy),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const c=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);c.length>0&&c[0]!=="dev"&&(this.options.lng=c[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(c=>{this[c]=function(){return t.store[c](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(c=>{this[c]=function(){return t.store[c](...arguments),t}});const l=Fh(),u=()=>{const c=(d,f)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&wB.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Fh();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([s,a].concat(c))}else 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Look at Konva change log for more information.";o.prototype[u]=function(){t.Util.error(c);var d=this.attrs[s];return d===void 0?a:d},e.Factory.addSetter(o,s,l,function(){t.Util.error(c)}),e.Factory.addOverloadedGetterSetter(o,s)},backCompat(o,s){t.Util.each(s,function(a,l){var u=o.prototype[l],c=r+t.Util._capitalize(a),d=i+t.Util._capitalize(a);function f(){u.apply(this,arguments),t.Util.error('"'+a+'" method is deprecated and will be removed soon. Use ""'+l+'" instead.')}o.prototype[a]=f,o.prototype[c]=f,o.prototype[d]=f})},afterSetFilter(){this._filterUpToDate=!1}}})(xt);var Os={},Xa={};Object.defineProperty(Xa,"__esModule",{value:!0});Xa.HitContext=Xa.SceneContext=Xa.Context=void 0;const GB=ir,K0e=Et;function X0e(e){var t=[],n=e.length,r=GB.Util,i,o;for(i=0;i<n;i++)o=e[i],r._isNumber(o)?o=Math.round(o*1e3)/1e3:r._isString(o)||(o=o+""),t.push(o);return t}var N8=",",Q0e="(",Y0e=")",Z0e="([",J0e="])",eve=";",tve="()",nve="=",D8=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],rve=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const ive=100;class Lb{constructor(t){this.canvas=t,K0e.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",s,a,l,u;for(s=0;s<i;s++)a=r[s],l=a.method,l?(u=a.args,o+=l,t?o+=tve:GB.Util._isArray(u[0])?o+=Z0e+u.join(N8)+J0e:(n&&(u=u.map(c=>typeof c=="number"?Math.floor(c):c)),o+=Q0e+u.join(N8)+Y0e)):(o+=a.property,t||(o+=nve+a.val)),o+=eve;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=ive&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=D8.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=X0e(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;i<n;i++)s(D8[i]);t.setAttr=function(){r.apply(t,arguments);var a=arguments[0],l=arguments[1];(a==="shadowOffsetX"||a==="shadowOffsetY"||a==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:a,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}Xa.Context=Lb;rve.forEach(function(e){Object.defineProperty(Lb.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class ove extends Lb{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),c=l.x*u,d=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(c),Math.abs(d))),this.setAttr("shadowOffsetX",a.x*c),this.setAttr("shadowOffsetY",a.y*d)}}Xa.SceneContext=ove;class sve extends Lb{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}Xa.HitContext=sve;Object.defineProperty(Os,"__esModule",{value:!0});Os.HitCanvas=Os.SceneCanvas=Os.Canvas=void 0;const x1=ir,HB=Xa,qB=Et,ave=xt,lve=He;var qy;function uve(){if(qy)return qy;var e=x1.Util.createCanvasElement(),t=e.getContext("2d");return qy=function(){var n=qB.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),x1.Util.releaseCanvas(e),qy}class $b{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||qB.Konva.pixelRatio||uve();this.pixelRatio=r,this._canvas=x1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return x1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Os.Canvas=$b;ave.Factory.addGetterSetter($b,"pixelRatio",void 0,(0,lve.getNumberValidator)());class cve extends $b{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new HB.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Os.SceneCanvas=cve;class dve extends $b{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new HB.HitContext(this),this.setSize(t.width,t.height)}}Os.HitCanvas=dve;var Fb={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Et,n=ir;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=a.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(Fb);Object.defineProperty(Kn,"__esModule",{value:!0});Kn.Node=void 0;const Pt=ir,$m=xt,Wy=Os,zu=Et,Uo=Fb,yr=He;var F0="absoluteOpacity",Ky="allEventListeners",Na="absoluteTransform",L8="absoluteScale",Uu="canvas",fve="Change",hve="children",pve="konva",QC="listening",$8="mouseenter",F8="mouseleave",B8="set",z8="Shape",B0=" ",U8="stage",Cl="transform",gve="Stage",YC="visible",mve=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(B0);let yve=1;class at{constructor(t){this._id=yve++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===Cl||t===Na)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===Cl||t===Na,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(B0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Uu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===Na&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Uu)){const{scene:t,filter:n,hit:r}=this._cache.get(Uu);Pt.Util.releaseCanvas(t,n,r),this._cache.delete(Uu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){Pt.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Wy.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Wy.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Wy.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Uu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(F0),this._clearSelfAndDescendantCache(L8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(Uu,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Uu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){Pt.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(d){Pt.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Ky),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(B0),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(B0),i=r.length,o,s,a,l,u,c;if(this._cache&&this._cache.delete(Ky),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(s in this.eventListeners)this._off(s,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=Pt.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),Uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(Na),this._clearSelfAndDescendantCache(F0),this._clearSelfAndDescendantCache(L8),this._clearSelfAndDescendantCache(U8),this._clearSelfAndDescendantCache(YC),this._clearSelfAndDescendantCache(QC)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+Pt.Util._capitalize(t);return Pt.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==hve&&(r=B8+Pt.Util._capitalize(n),Pt.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(QC,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(YC,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;Uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!zu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==z8&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==gve&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(Cl),this._clearSelfAndDescendantCache(Na)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new Pt.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(Cl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(Cl),this._clearSelfAndDescendantCache(Na),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return Pt.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&Pt.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(F0,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=Pt.Util.isObject(i)&&!Pt.Util._isPlainObject(i)&&!Pt.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),Pt.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],Pt.Util.isValidSelector(o)||(Pt.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),Pt.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),Pt.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(U8,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(Na,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new Pt.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(Na)||new Pt.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(Cl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(Cl)||new Pt.Transform;r.reset();var i=this.x(),o=this.y(),s=zu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||c!==0)&&r.skew(u,c),(a!==1||l!==1)&&r.scale(a,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=Pt.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(pve)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new Wy.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,Pt.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():zu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+fve,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[B8+Pt.Util._capitalize(t)];return Pt.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(zu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!Pt.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===z8&&(n.target=this);var i=(t===$8||t===F8)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===$8||t===F8)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Ky))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(Ky,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;Uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){Uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=Uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:Pt.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=Uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),Uo.DD._endDragBefore(t),Uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=Uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||zu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;Uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=Uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&Uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return Pt.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return Pt.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=at.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),zu.Konva[r]||(Pt.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=zu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(at._createNode(i[a]));return o}}Kn.Node=at;at.prototype.nodeType="Node";at.prototype._attrsAffectingSize=[];at.prototype.eventListeners={};at.prototype.on.call(at.prototype,mve,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(Cl),this._clearSelfAndDescendantCache(Na)});at.prototype.on.call(at.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(YC)});at.prototype.on.call(at.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(QC)});at.prototype.on.call(at.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(F0)});const Sn=$m.Factory.addGetterSetter;Sn(at,"zIndex");Sn(at,"absolutePosition");Sn(at,"position");Sn(at,"x",0,(0,yr.getNumberValidator)());Sn(at,"y",0,(0,yr.getNumberValidator)());Sn(at,"globalCompositeOperation","source-over",(0,yr.getStringValidator)());Sn(at,"opacity",1,(0,yr.getNumberValidator)());Sn(at,"name","",(0,yr.getStringValidator)());Sn(at,"id","",(0,yr.getStringValidator)());Sn(at,"rotation",0,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"scale",["x","y"]);Sn(at,"scaleX",1,(0,yr.getNumberValidator)());Sn(at,"scaleY",1,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"skew",["x","y"]);Sn(at,"skewX",0,(0,yr.getNumberValidator)());Sn(at,"skewY",0,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"offset",["x","y"]);Sn(at,"offsetX",0,(0,yr.getNumberValidator)());Sn(at,"offsetY",0,(0,yr.getNumberValidator)());Sn(at,"dragDistance",null,(0,yr.getNumberValidator)());Sn(at,"width",0,(0,yr.getNumberValidator)());Sn(at,"height",0,(0,yr.getNumberValidator)());Sn(at,"listening",!0,(0,yr.getBooleanValidator)());Sn(at,"preventDefault",!0,(0,yr.getBooleanValidator)());Sn(at,"filters",null,function(e){return this._filterUpToDate=!1,e});Sn(at,"visible",!0,(0,yr.getBooleanValidator)());Sn(at,"transformsEnabled","all",(0,yr.getStringValidator)());Sn(at,"size");Sn(at,"dragBoundFunc");Sn(at,"draggable",!1,(0,yr.getBooleanValidator)());$m.Factory.backCompat(at,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var Vc={};Object.defineProperty(Vc,"__esModule",{value:!0});Vc.Container=void 0;const ah=xt,vw=Kn,Bb=He;class Gc extends vw.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=vw.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=vw.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(b){b[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}Vc.Container=Gc;ah.Factory.addComponentsGetterSetter(Gc,"clip",["x","y","width","height"]);ah.Factory.addGetterSetter(Gc,"clipX",void 0,(0,Bb.getNumberValidator)());ah.Factory.addGetterSetter(Gc,"clipY",void 0,(0,Bb.getNumberValidator)());ah.Factory.addGetterSetter(Gc,"clipWidth",void 0,(0,Bb.getNumberValidator)());ah.Factory.addGetterSetter(Gc,"clipHeight",void 0,(0,Bb.getNumberValidator)());ah.Factory.addGetterSetter(Gc,"clipFunc");var WB={},Eo={};Object.defineProperty(Eo,"__esModule",{value:!0});Eo.releaseCapture=Eo.setPointerCapture=Eo.hasPointerCapture=Eo.createEvent=Eo.getCapturedShape=void 0;const vve=Et,Bg=new Map,KB=vve.Konva._global.PointerEvent!==void 0;function _ve(e){return Bg.get(e)}Eo.getCapturedShape=_ve;function yT(e){return{evt:e,pointerId:e.pointerId}}Eo.createEvent=yT;function bve(e,t){return Bg.get(e)===t}Eo.hasPointerCapture=bve;function Sve(e,t){XB(e),t.getStage()&&(Bg.set(e,t),KB&&t._fire("gotpointercapture",yT(new PointerEvent("gotpointercapture"))))}Eo.setPointerCapture=Sve;function XB(e,t){const n=Bg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Bg.delete(e),KB&&n._fire("lostpointercapture",yT(new PointerEvent("lostpointercapture")))}Eo.releaseCapture=XB;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=ir,n=xt,r=Vc,i=Et,o=Os,s=Fb,a=Et,l=Eo;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",b="mousemove",_="mousedown",v="mouseup",g="pointermove",y="pointerdown",S="pointerup",w="pointercancel",x="lostpointercapture",E="pointerout",A="pointerleave",T="pointerover",k="pointerenter",L="contextmenu",N="touchstart",C="touchend",P="touchmove",D="touchcancel",B="wheel",R=5,O=[[m,"_pointerenter"],[_,"_pointerdown"],[b,"_pointermove"],[v,"_pointerup"],[h,"_pointerleave"],[N,"_pointerdown"],[P,"_pointermove"],[C,"_pointerup"],[D,"_pointercancel"],[p,"_pointerover"],[B,"_wheel"],[L,"_contextmenu"],[y,"_pointerdown"],[g,"_pointermove"],[S,"_pointerup"],[w,"_pointercancel"],[x,"_lostpointercapture"]];const I={mouse:{[E]:f,[A]:h,[T]:p,[k]:m,[g]:b,[y]:_,[S]:v,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[E]:"touchout",[A]:"touchleave",[T]:"touchover",[k]:"touchenter",[g]:P,[y]:N,[S]:C,[w]:D,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[E]:E,[A]:A,[T]:T,[k]:k,[g]:g,[y]:y,[S]:S,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},F=Q=>Q.indexOf("pointer")>=0?"pointer":Q.indexOf("touch")>=0?"touch":"mouse",U=Q=>{const j=F(Q);if(j==="pointer")return i.Konva.pointerEventsEnabled&&I.pointer;if(j==="touch")return I.touch;if(j==="mouse")return I.mouse};function V(Q={}){return(Q.clipFunc||Q.clipWidth||Q.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Q}const H="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class Y extends r.Container{constructor(j){super(V(j)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(j){const K=j.getType()==="Layer",ee=j.getType()==="FastLayer";K||ee||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var K=j.slice(1);j=document.getElementsByClassName(K)[0]}else{var ee;j.charAt(0)!=="#"?ee=j:ee=j.slice(1),j=document.getElementById(ee)}if(!j)throw"Can not find container in document with id "+ee}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,K=j.length,ee;for(ee=0;ee<K;ee++)j[ee].clear();return this}clone(j){return j||(j={}),j.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,j)}destroy(){super.destroy();var j=this.content;j&&t.Util._isInDocument(j)&&this.container().removeChild(j);var K=e.stages.indexOf(this);return K>-1&&e.stages.splice(K,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(H),null)}_getPointerById(j){return this._pointerPositions.find(K=>K.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var K=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),ee=K.getContext()._context,ie=this.children;return(j.x||j.y)&&ee.translate(-1*j.x,-1*j.y),ie.forEach(function(ge){if(ge.isVisible()){var ae=ge._toKonvaCanvas(j);ee.drawImage(ae._canvas,j.x,j.y,ae.getWidth()/ae.getPixelRatio(),ae.getHeight()/ae.getPixelRatio())}}),K}getIntersection(j){if(!j)return null;var K=this.children,ee=K.length,ie=ee-1,ge;for(ge=ie;ge>=0;ge--){const ae=K[ge].getIntersection(j);if(ae)return ae}return null}_resizeDOM(){var j=this.width(),K=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=K+d),this.bufferCanvas.setSize(j,K),this.bufferHitCanvas.setSize(j,K),this.children.forEach(ee=>{ee.setSize({width:j,height:K}),ee.draw()})}add(j,...K){if(arguments.length>1){for(var ee=0;ee<arguments.length;ee++)this.add(arguments[ee]);return this}super.add(j);var ie=this.children.length;return ie>R&&t.Util.warn("The stage has "+ie+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&O.forEach(([j,K])=>{this.content.addEventListener(j,ee=>{this[K](ee)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let K=this[j+"targetShape"];return K&&!K.getStage()&&(K=null),K}_pointerleave(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=this._getTargetShape(ee),ge=!s.DD.isDragging||i.Konva.hitOnDragEnabled;ie&&ge?(ie._fireAndBubble(K.pointerout,{evt:j}),ie._fireAndBubble(K.pointerleave,{evt:j}),this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this[ee+"targetShape"]=null):ge&&(this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(K.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=!1;this._changedPointerPositions.forEach(ge=>{var ae=this.getIntersection(ge);if(s.DD.justDragged=!1,i.Konva["_"+ee+"ListenClick"]=!0,!(ae&&ae.isListening()))return;i.Konva.capturePointerEventsEnabled&&ae.setPointerCapture(ge.id),this[ee+"ClickStartShape"]=ae,ae._fireAndBubble(K.pointerdown,{evt:j,pointerId:ge.id}),ie=!0;const et=j.type.indexOf("touch")>=0;ae.preventDefault()&&j.cancelable&&et&&j.preventDefault()}),ie||this._fire(K.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const K=U(j.type),ee=F(j.type);if(!K)return;s.DD.isDragging&&s.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var ie=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!ie)return;var ge={};let ae=!1;var dt=this._getTargetShape(ee);this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et),lt=et.id,Te={evt:j,pointerId:lt};var Gt=dt!==Ne;if(Gt&&dt&&(dt._fireAndBubble(K.pointerout,Object.assign({},Te),Ne),dt._fireAndBubble(K.pointerleave,Object.assign({},Te),Ne)),Ne){if(ge[Ne._id])return;ge[Ne._id]=!0}Ne&&Ne.isListening()?(ae=!0,Gt&&(Ne._fireAndBubble(K.pointerover,Object.assign({},Te),dt),Ne._fireAndBubble(K.pointerenter,Object.assign({},Te),dt),this[ee+"targetShape"]=Ne),Ne._fireAndBubble(K.pointermove,Object.assign({},Te))):dt&&(this._fire(K.pointerover,{evt:j,target:this,currentTarget:this,pointerId:lt}),this[ee+"targetShape"]=null)}),ae||this._fire(K.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const K=U(j.type),ee=F(j.type);if(!K)return;this.setPointersPositions(j);const ie=this[ee+"ClickStartShape"],ge=this[ee+"ClickEndShape"];var ae={};let dt=!1;this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et);if(Ne){if(Ne.releaseCapture(et.id),ae[Ne._id])return;ae[Ne._id]=!0}const lt=et.id,Te={evt:j,pointerId:lt};let Gt=!1;i.Konva["_"+ee+"InDblClickWindow"]?(Gt=!0,clearTimeout(this[ee+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+ee+"InDblClickWindow"]=!0,clearTimeout(this[ee+"DblTimeout"])),this[ee+"DblTimeout"]=setTimeout(function(){i.Konva["_"+ee+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ne&&Ne.isListening()?(dt=!0,this[ee+"ClickEndShape"]=Ne,Ne._fireAndBubble(K.pointerup,Object.assign({},Te)),i.Konva["_"+ee+"ListenClick"]&&ie&&ie===Ne&&(Ne._fireAndBubble(K.pointerclick,Object.assign({},Te)),Gt&&ge&&ge===Ne&&Ne._fireAndBubble(K.pointerdblclick,Object.assign({},Te)))):(this[ee+"ClickEndShape"]=null,i.Konva["_"+ee+"ListenClick"]&&this._fire(K.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:lt}),Gt&&this._fire(K.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:lt}))}),dt||this._fire(K.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+ee+"ListenClick"]=!1,j.cancelable&&ee!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(B,{evt:j}):this._fire(B,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const K=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());K&&K._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var K=this._getContentPosition(),ee=null,ie=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,ge=>{this._pointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,ge=>{this._changedPointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})})):(ee=(j.clientX-K.left)/K.scaleX,ie=(j.clientY-K.top)/K.scaleY,this.pointerPos={x:ee,y:ie},this._pointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var j=this.container();if(!j)throw"Stage has no container. A container is required.";j.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),j.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(j){j.batchDraw()}),this}}e.Stage=Y,Y.prototype.nodeType=u,(0,a._registerNode)(Y),n.Factory.addGetterSetter(Y,"container")})(WB);var Fm={},zr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Et,n=ir,r=xt,i=Kn,o=He,s=Et,a=Eo;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function v(A){A.stroke()}function g(){this._clearCache(l)}function y(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class E extends i.Node{constructor(T){super(T);let k;for(;k=n.Util.getRandomColor(),!(k&&!(k in e.shapes)););this.colorKey=k,e.shapes[k]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const k=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(k&&k.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const N=L.getMatrix(),C=typeof DOMMatrix>"u"?{a:N[0],b:N[1],c:N[2],d:N[3],e:N[4],f:N[5]}:new DOMMatrix(N);k.setTransform(C)}return k}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var k=p(),L=this.fillLinearGradientStartPoint(),N=this.fillLinearGradientEndPoint(),C=k.createLinearGradient(L.x,L.y,N.x,N.y),P=0;P<T.length;P+=2)C.addColorStop(T[P],T[P+1]);return C}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var T=this.fillRadialGradientColorStops();if(T){for(var k=p(),L=this.fillRadialGradientStartPoint(),N=this.fillRadialGradientEndPoint(),C=k.createRadialGradient(L.x,L.y,this.fillRadialGradientStartRadius(),N.x,N.y,this.fillRadialGradientEndRadius()),P=0;P<T.length;P+=2)C.addColorStop(T[P],T[P+1]);return C}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var T=n.Util.colorToRGBA(this.shadowColor());if(T)return"rgba("+T.r+","+T.g+","+T.b+","+T.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var k=this.getStage(),L=k.bufferHitCanvas,N;return L.getContext().clear(),this.drawHit(L,null,!0),N=L.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,N[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var k;if(!this.getStage()||!((k=this.attrs.perfectDrawEnabled)!==null&&k!==void 0?k:!0))return!1;const N=T||this.hasFill(),C=this.hasStroke(),P=this.getAbsoluteOpacity()!==1;if(N&&C&&P)return!0;const D=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(N&&C&&D&&B)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const k=T.skipTransform,L=T.relativeTo,N=this.getSelfRect(),P=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=N.width+P,B=N.height+P,R=!T.skipShadow&&this.hasShadow(),O=R?this.shadowOffsetX():0,I=R?this.shadowOffsetY():0,F=D+Math.abs(O),U=B+Math.abs(I),V=R&&this.shadowBlur()||0,H=F+V*2,Y=U+V*2,Q={width:H,height:Y,x:-(P/2+V)+Math.min(O,0)+N.x,y:-(P/2+V)+Math.min(I,0)+N.y};return k?Q:this._transformedRect(Q,L)}drawScene(T,k){var L=this.getLayer(),N=T||L.getCanvas(),C=N.getContext(),P=this._getCanvasCache(),D=this.getSceneFunc(),B=this.hasShadow(),R,O,I,F=N.isCache,U=k===this;if(!this.isVisible()&&!U)return this;if(P){C.save();var V=this.getAbsoluteTransform(k).getMatrix();return C.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(C),C.restore(),this}if(!D)return this;if(C.save(),this._useBufferCanvas()&&!F){R=this.getStage(),O=R.bufferCanvas,I=O.getContext(),I.clear(),I.save(),I._applyLineJoin(this);var H=this.getAbsoluteTransform(k).getMatrix();I.transform(H[0],H[1],H[2],H[3],H[4],H[5]),D.call(this,I,this),I.restore();var Y=O.pixelRatio;B&&C._applyShadow(this),C._applyOpacity(this),C._applyGlobalCompositeOperation(this),C.drawImage(O._canvas,0,0,O.width/Y,O.height/Y)}else{if(C._applyLineJoin(this),!U){var H=this.getAbsoluteTransform(k).getMatrix();C.transform(H[0],H[1],H[2],H[3],H[4],H[5]),C._applyOpacity(this),C._applyGlobalCompositeOperation(this)}B&&C._applyShadow(this),D.call(this,C,this)}return C.restore(),this}drawHit(T,k,L=!1){if(!this.shouldDrawHit(k,L))return this;var N=this.getLayer(),C=T||N.hitCanvas,P=C&&C.getContext(),D=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),R=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),R){P.save();var O=this.getAbsoluteTransform(k).getMatrix();return P.transform(O[0],O[1],O[2],O[3],O[4],O[5]),this._drawCachedHitCanvas(P),P.restore(),this}if(!D)return this;if(P.save(),P._applyLineJoin(this),!(this===k)){var F=this.getAbsoluteTransform(k).getMatrix();P.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return D.call(this,P,this),P.restore(),this}drawHitFromCache(T=0){var k=this._getCanvasCache(),L=this._getCachedSceneCanvas(),N=k.hit,C=N.getContext(),P=N.getWidth(),D=N.getHeight(),B,R,O,I,F,U;C.clear(),C.drawImage(L._canvas,0,0,P,D);try{for(B=C.getImageData(0,0,P,D),R=B.data,O=R.length,I=n.Util._hexToRgb(this.colorKey),F=0;F<O;F+=4)U=R[F+3],U>T?(R[F]=I.r,R[F+1]=I.g,R[F+2]=I.b,R[F+3]=255):R[F+3]=0;C.putImageData(B,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=E,E.prototype._fillFunc=m,E.prototype._strokeFunc=b,E.prototype._fillFuncHit=_,E.prototype._strokeFuncHit=v,E.prototype._centroid=!1,E.prototype.nodeType="Shape",(0,s._registerNode)(E),E.prototype.eventListeners={},E.prototype.on.call(E.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),E.prototype.on.call(E.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(E,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(E,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(E,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(E,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"lineJoin"),r.Factory.addGetterSetter(E,"lineCap"),r.Factory.addGetterSetter(E,"sceneFunc"),r.Factory.addGetterSetter(E,"hitFunc"),r.Factory.addGetterSetter(E,"dash"),r.Factory.addGetterSetter(E,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(E,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(E,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternImage"),r.Factory.addGetterSetter(E,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(E,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(E,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(E,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(E,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(E,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(E,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(E,"fillEnabled",!0),r.Factory.addGetterSetter(E,"strokeEnabled",!0),r.Factory.addGetterSetter(E,"shadowEnabled",!0),r.Factory.addGetterSetter(E,"dashEnabled",!0),r.Factory.addGetterSetter(E,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(E,"fillPriority","color"),r.Factory.addComponentsGetterSetter(E,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(E,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(E,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(E,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(E,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(E,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(E,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(E,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(E,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(E,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(E,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(E,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(E,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(E,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(E,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(E,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(E,"fillPatternRotation",0),r.Factory.addGetterSetter(E,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(E,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(zr);Object.defineProperty(Fm,"__esModule",{value:!0});Fm.Layer=void 0;const Ra=ir,_w=Vc,gd=Kn,vT=xt,j8=Os,wve=He,xve=zr,Cve=Et;var Eve="#",Tve="beforeDraw",Ave="draw",QB=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],kve=QB.length;class lh extends _w.Container{constructor(t){super(t),this.canvas=new j8.SceneCanvas,this.hitCanvas=new j8.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){gd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=gd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(gd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(gd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return gd.Node.prototype.remove.call(this),t&&t.parentNode&&Ra.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Ra.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),gd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){Ra.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){Ra.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,Ra.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<kve;i++){const o=QB[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=Ra.Util._rgbToHex(r[0],r[1],r[2]),s=xve.shapes[Eve+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Tve,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),_w.Container.prototype.drawScene.call(this,i,n),this._fire(Ave,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),_w.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return Ra.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Fm.Layer=lh;lh.prototype.nodeType="Layer";(0,Cve._registerNode)(lh);vT.Factory.addGetterSetter(lh,"imageSmoothingEnabled",!0);vT.Factory.addGetterSetter(lh,"clearBeforeDraw",!0);vT.Factory.addGetterSetter(lh,"hitGraphEnabled",!0,(0,wve.getBooleanValidator)());var zb={};Object.defineProperty(zb,"__esModule",{value:!0});zb.FastLayer=void 0;const Pve=ir,Rve=Fm,Ove=Et;class _T extends Rve.Layer{constructor(t){super(t),this.listening(!1),Pve.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}zb.FastLayer=_T;_T.prototype.nodeType="FastLayer";(0,Ove._registerNode)(_T);var uh={};Object.defineProperty(uh,"__esModule",{value:!0});uh.Group=void 0;const Ive=ir,Mve=Vc,Nve=Et;class bT extends Mve.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Ive.Util.throw("You may only add groups and shapes to groups.")}}uh.Group=bT;bT.prototype.nodeType="Group";(0,Nve._registerNode)(bT);var ch={};Object.defineProperty(ch,"__esModule",{value:!0});ch.Animation=void 0;const bw=Et,V8=ir;var Sw=function(){return bw.glob.performance&&bw.glob.performance.now?function(){return bw.glob.performance.now()}:function(){return new Date().getTime()}}();class Js{constructor(t,n){this.id=Js.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Sw(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=Js,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Sw(),Js._addAnimation(this),this}stop(){return Js._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,c,d;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Sw()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=Js;t.animations.length?(t._runFrames(),V8.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,V8.Util.requestAnimFrame(this._animationLoop))}}ch.Animation=Js;Js.animations=[];Js.animIdCounter=0;Js.animRunning=!1;var YB={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=ir,n=ch,r=Kn,i=Et;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,b,_,v,g,y){this.prop=p,this.propFunc=m,this.begin=_,this._pos=_,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=y,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=b,this._change=v-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,b=p.node,_=b._id,v,g=p.easing||e.Easings.Linear,y=!!p.yoyo,S;typeof p.duration>"u"?v=.3:p.duration===0?v=.001:v=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(x){m._tweenFunc(x)},g,0,1,v*1e3,y),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,v,g,y,S,w,x,E,A;if(y=f.tweens[_][p],y&&delete f.attrs[_][y][p],v=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,v.length),p==="points"&&m.length!==v.length&&(m.length>v.length?(E=v,v=t.Util._prepareArrayForTween(v,m,b.closed())):(x=m,m=t.Util._prepareArrayForTween(m,v,b.closed()))),p.indexOf("fill")===0)for(S=0;S<w;S++)if(S%2===0)g.push(m[S]-v[S]);else{var T=t.Util.colorToRGBA(v[S]);A=t.Util.colorToRGBA(m[S]),v[S]=T,g.push({r:A.r-T.r,g:A.g-T.g,b:A.b-T.b,a:A.a-T.a})}else for(S=0;S<w;S++)g.push(m[S]-v[S]);else c.indexOf(p)!==-1?(v=t.Util.colorToRGBA(v),A=t.Util.colorToRGBA(m),g={r:A.r-v.r,g:A.g-v.g,b:A.b-v.b,a:A.a-v.a}):g=m-v;f.attrs[_][this._id][p]={start:v,diff:g,end:m,trueEnd:x,trueStart:E},f.tweens[_][p]=this._id}_tweenFunc(p){var m=this.node,b=f.attrs[m._id][this._id],_,v,g,y,S,w,x,E;for(_ in b){if(v=b[_],g=v.start,y=v.diff,E=v.end,t.Util._isArray(g))if(S=[],x=Math.max(g.length,E.length),_.indexOf("fill")===0)for(w=0;w<x;w++)w%2===0?S.push((g[w]||0)+y[w]*p):S.push("rgba("+Math.round(g[w].r+y[w].r*p)+","+Math.round(g[w].g+y[w].g*p)+","+Math.round(g[w].b+y[w].b*p)+","+(g[w].a+y[w].a*p)+")");else for(w=0;w<x;w++)S.push((g[w]||0)+y[w]*p);else c.indexOf(_)!==-1?S="rgba("+Math.round(g.r+y.r*p)+","+Math.round(g.g+y.g*p)+","+Math.round(g.b+y.b*p)+","+(g.a+y.a*p)+")":S=g+y*p;m.setAttr(_,S)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b)===1?p+m:(v||(v=b*.3),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),-(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v))+p)},ElasticEaseOut(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b)===1?p+m:(v||(v=b*.3),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),_*Math.pow(2,-10*h)*Math.sin((h*b-g)*(2*Math.PI)/v)+m+p)},ElasticEaseInOut(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b/2)===2?p+m:(v||(v=b*(.3*1.5)),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),h<1?-.5*(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v))+p:_*Math.pow(2,-10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v)*.5+m+p)},BounceEaseOut(h,p,m,b){return(h/=b)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,b){return m-e.Easings.BounceEaseOut(b-h,0,m,b)+p},BounceEaseInOut(h,p,m,b){return h<b/2?e.Easings.BounceEaseIn(h*2,0,m,b)*.5+p:e.Easings.BounceEaseOut(h*2-b,0,m,b)*.5+m*.5+p},EaseIn(h,p,m,b){return m*(h/=b)*h+p},EaseOut(h,p,m,b){return-m*(h/=b)*(h-2)+p},EaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,b){return m*(h/=b)*h*h*h*h+p},StrongEaseOut(h,p,m,b){return m*((h=h/b-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,b){return m*h/b+p}}})(YB);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=Et,n=ir,r=Kn,i=Vc,o=WB,s=Fm,a=zb,l=uh,u=Fb,c=zr,d=ch,f=YB,h=Xa,p=Os;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(VB);var Ub={};Object.defineProperty(Ub,"__esModule",{value:!0});Ub.Arc=void 0;const jb=xt,Dve=zr,G8=Et,Vb=He,Lve=Et;class pl extends Dve.Shape{_sceneFunc(t){var n=G8.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=G8.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),s=1,a=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}Ub.Arc=pl;pl.prototype._centroid=!0;pl.prototype.className="Arc";pl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,Lve._registerNode)(pl);jb.Factory.addGetterSetter(pl,"innerRadius",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"outerRadius",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"angle",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"clockwise",!1,(0,Vb.getBooleanValidator)());var Gb={},Bm={};Object.defineProperty(Bm,"__esModule",{value:!0});Bm.Line=void 0;const Hb=xt,$ve=zr,ZB=He,Fve=Et;function ZC(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function H8(e,t){var n=e.length,r=[],i,o;for(i=2;i<n-2;i+=2)o=ZC(e[i-2],e[i-1],e[i],e[i+1],e[i+2],e[i+3],t),!isNaN(o[0])&&(r.push(o[0]),r.push(o[1]),r.push(e[i]),r.push(e[i+1]),r.push(o[2]),r.push(o[3]));return r}class Pu extends $ve.Shape{constructor(t){super(t),this.on("pointsChange.konva tensionChange.konva closedChange.konva bezierChange.konva",function(){this._clearCache("tensionPoints")})}_sceneFunc(t){var n=this.points(),r=n.length,i=this.tension(),o=this.closed(),s=this.bezier(),a,l,u;if(r){if(t.beginPath(),t.moveTo(n[0],n[1]),i!==0&&r>4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u<l-2;)t.bezierCurveTo(a[u++],a[u++],a[u++],a[u++],a[u++],a[u++]);o||t.quadraticCurveTo(a[l-2],a[l-1],n[r-2],n[r-1])}else if(s)for(u=2;u<r;)t.bezierCurveTo(n[u++],n[u++],n[u++],n[u++],n[u++],n[u++]);else for(u=2;u<r;u+=2)t.lineTo(n[u],n[u+1]);o?(t.closePath(),t.fillStrokeShape(this)):t.strokeShape(this)}}getTensionPoints(){return this._getCache("tensionPoints",this._getTensionPoints)}_getTensionPoints(){return this.closed()?this._getTensionPointsClosed():H8(this.points(),this.tension())}_getTensionPointsClosed(){var t=this.points(),n=t.length,r=this.tension(),i=ZC(t[n-2],t[n-1],t[0],t[1],t[2],t[3],r),o=ZC(t[n-4],t[n-3],t[n-2],t[n-1],t[0],t[1],r),s=H8(t,r),a=[i[2],i[3]].concat(s).concat([o[0],o[1],t[n-2],t[n-1],o[2],o[3],i[0],i[1],t[0],t[1]]);return a}getWidth(){return this.getSelfRect().width}getHeight(){return this.getSelfRect().height}getSelfRect(){var t=this.points();if(t.length<4)return{x:t[0]||0,y:t[1]||0,width:0,height:0};this.tension()!==0?t=[t[0],t[1],...this._getTensionPoints(),t[t.length-2],t[t.length-1]]:t=this.points();for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);return{x:n,y:i,width:r-n,height:o-i}}}Bm.Line=Pu;Pu.prototype.className="Line";Pu.prototype._attrsAffectingSize=["points","bezier","tension"];(0,Fve._registerNode)(Pu);Hb.Factory.addGetterSetter(Pu,"closed",!1);Hb.Factory.addGetterSetter(Pu,"bezier",!1);Hb.Factory.addGetterSetter(Pu,"tension",0,(0,ZB.getNumberValidator)());Hb.Factory.addGetterSetter(Pu,"points",[],(0,ZB.getNumberArrayValidator)());var 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n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Mr.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Mr.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Mr.getPointOnCubicBezier((0,md.t2length)(t,Mr.getPathLength(n),m=>(0,md.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Mr.getPointOnQuadraticBezier((0,md.t2length)(t,Mr.getPathLength(n),m=>(0,md.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,Mr.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:s,y:a+c};else if((a-r)/(s-n+1e-8)===l)d={x:s+u,y:a+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(s-n)*(i-n)+(a-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var b=this.getLineLength(s,a,f,h),_=Math.sqrt(t*t-b*b);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function c(b){return b*b*b}function d(b){return 3*b*b*(1-b)}function f(b){return 3*b*(1-b)*(1-b)}function h(b){return(1-b)*(1-b)*(1-b)}var p=l*c(t)+s*d(t)+i*f(t)+n*h(t),m=u*c(t)+a*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=s*l(t)+i*u(t)+n*c(t),f=a*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),a.length=0;d=c.exec(f);)a.push(d[0]);for(var p=[],m=0,b=a.length;m<b;m++){if(a[m]==="00"){p.push(0,0);continue}var _=parseFloat(a[m]);isNaN(_)?p.push(0):p.push(_)}for(;p.length>0&&!isNaN(p[0]);){var v=null,g=[],y=l,S=u,w,x,E,A,T,k,L,N,C,P;switch(h){case"l":l+=p.shift(),u+=p.shift(),v="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var D=p.shift(),B=p.shift();if(l+=D,u+=B,v="M",s.length>2&&s[s.length-1].command==="z"){for(var R=s.length-2;R>=0;R--)if(s[R].command==="M"){l=s[R].points[0]+D,u=s[R].points[1]+B;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),v="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),v="L",g.push(l,u);break;case"H":l=p.shift(),v="L",g.push(l,u);break;case"v":u+=p.shift(),v="L",g.push(l,u);break;case"V":u=p.shift(),v="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="C",g.push(l,u);break;case"S":x=l,E=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),E=u+(u-w.points[3])),g.push(x,E,p.shift(),p.shift()),l=p.shift(),u=p.shift(),v="C",g.push(l,u);break;case"s":x=l,E=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),E=u+(u-w.points[3])),g.push(x,E,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="Q",g.push(l,u);break;case"T":x=l,E=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),E=u+(u-w.points[1])),l=p.shift(),u=p.shift(),v="Q",g.push(x,E,l,u);break;case"t":x=l,E=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),E=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),v="Q",g.push(x,E,l,u);break;case"A":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),C=l,P=u,l=p.shift(),u=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,P,l,u,L,N,A,T,k);break;case"a":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),C=l,P=u,l+=p.shift(),u+=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,P,l,u,L,N,A,T,k);break}s.push({command:v||h,points:g,start:{x:y,y:S},pathLength:this.calcLength(y,S,v||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Mr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,md.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,md.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l<f;l+=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(a*a)+f*f/(l*l);h>1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,v=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},y=function(T,k){return(T[0]*k[0]+T[1]*k[1])/(g(T)*g(k))},S=function(T,k){return(T[0]*k[1]<T[1]*k[0]?-1:1)*Math.acos(y(T,k))},w=S([1,0],[(d-m)/a,(f-b)/l]),x=[(d-m)/a,(f-b)/l],E=[(-1*d-m)/a,(-1*f-b)/l],A=S(x,E);return y(x,E)<=-1&&(A=Math.PI),y(x,E)>=1&&(A=0),s===0&&A>0&&(A=A-2*Math.PI),s===1&&A<0&&(A=A+2*Math.PI),[_,v,a,l,w,A,c,s]}}dh.Path=Mr;Mr.prototype.className="Path";Mr.prototype._attrsAffectingSize=["data"];(0,Uve._registerNode)(Mr);Bve.Factory.addGetterSetter(Mr,"data");Object.defineProperty(Gb,"__esModule",{value:!0});Gb.Arrow=void 0;const qb=xt,jve=Bm,ez=He,Vve=Et,q8=dh;class Hc extends jve.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=q8.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=q8.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}Gb.Arrow=Hc;Hc.prototype.className="Arrow";(0,Vve._registerNode)(Hc);qb.Factory.addGetterSetter(Hc,"pointerLength",10,(0,ez.getNumberValidator)());qb.Factory.addGetterSetter(Hc,"pointerWidth",10,(0,ez.getNumberValidator)());qb.Factory.addGetterSetter(Hc,"pointerAtBeginning",!1);qb.Factory.addGetterSetter(Hc,"pointerAtEnding",!0);var Wb={};Object.defineProperty(Wb,"__esModule",{value:!0});Wb.Circle=void 0;const Gve=xt,Hve=zr,qve=He,Wve=Et;let fh=class extends Hve.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};Wb.Circle=fh;fh.prototype._centroid=!0;fh.prototype.className="Circle";fh.prototype._attrsAffectingSize=["radius"];(0,Wve._registerNode)(fh);Gve.Factory.addGetterSetter(fh,"radius",0,(0,qve.getNumberValidator)());var Kb={};Object.defineProperty(Kb,"__esModule",{value:!0});Kb.Ellipse=void 0;const ST=xt,Kve=zr,tz=He,Xve=Et;class Ru extends Kve.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}Kb.Ellipse=Ru;Ru.prototype.className="Ellipse";Ru.prototype._centroid=!0;Ru.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,Xve._registerNode)(Ru);ST.Factory.addComponentsGetterSetter(Ru,"radius",["x","y"]);ST.Factory.addGetterSetter(Ru,"radiusX",0,(0,tz.getNumberValidator)());ST.Factory.addGetterSetter(Ru,"radiusY",0,(0,tz.getNumberValidator)());var Xb={};Object.defineProperty(Xb,"__esModule",{value:!0});Xb.Image=void 0;const ww=ir,qc=xt,Qve=zr,Yve=Et,zm=He;let wa=class nz extends Qve.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?ww.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?ww.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=ww.Util.createImageElement();i.onload=function(){var o=new nz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};Xb.Image=wa;wa.prototype.className="Image";(0,Yve._registerNode)(wa);qc.Factory.addGetterSetter(wa,"cornerRadius",0,(0,zm.getNumberOrArrayOfNumbersValidator)(4));qc.Factory.addGetterSetter(wa,"image");qc.Factory.addComponentsGetterSetter(wa,"crop",["x","y","width","height"]);qc.Factory.addGetterSetter(wa,"cropX",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropY",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropWidth",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropHeight",0,(0,zm.getNumberValidator)());var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Tag=jf.Label=void 0;const Qb=xt,Zve=zr,Jve=uh,wT=He,rz=Et;var iz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],e1e="Change.konva",t1e="none",JC="up",e3="right",t3="down",n3="left",n1e=iz.length;class xT extends Jve.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<n1e;r++)t.on(iz[r]+e1e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case JC:a=r/2,l=-1*u;break;case e3:a=r+s,l=i/2;break;case t3:a=r/2,l=i+u;break;case n3:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}jf.Label=xT;xT.prototype.className="Label";(0,rz._registerNode)(xT);class Wc extends Zve.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof a=="number"?l=u=c=d=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),d=Math.min(a[2]||0,n/2,r/2),c=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===JC&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===e3&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===t3&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===n3&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===JC?(n-=i,a+=i):o===t3?a+=i:o===n3?(t-=r*1.5,s+=r):o===e3&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}jf.Tag=Wc;Wc.prototype.className="Tag";(0,rz._registerNode)(Wc);Qb.Factory.addGetterSetter(Wc,"pointerDirection",t1e);Qb.Factory.addGetterSetter(Wc,"pointerWidth",0,(0,wT.getNumberValidator)());Qb.Factory.addGetterSetter(Wc,"pointerHeight",0,(0,wT.getNumberValidator)());Qb.Factory.addGetterSetter(Wc,"cornerRadius",0,(0,wT.getNumberOrArrayOfNumbersValidator)(4));var Um={};Object.defineProperty(Um,"__esModule",{value:!0});Um.Rect=void 0;const r1e=xt,i1e=zr,o1e=Et,s1e=ir,a1e=He;let Yb=class extends i1e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?s1e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Um.Rect=Yb;Yb.prototype.className="Rect";(0,o1e._registerNode)(Yb);r1e.Factory.addGetterSetter(Yb,"cornerRadius",0,(0,a1e.getNumberOrArrayOfNumbersValidator)(4));var Zb={};Object.defineProperty(Zb,"__esModule",{value:!0});Zb.RegularPolygon=void 0;const oz=xt,l1e=zr,sz=He,u1e=Et;class Kc extends l1e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}Zb.RegularPolygon=Kc;Kc.prototype.className="RegularPolygon";Kc.prototype._centroid=!0;Kc.prototype._attrsAffectingSize=["radius"];(0,u1e._registerNode)(Kc);oz.Factory.addGetterSetter(Kc,"radius",0,(0,sz.getNumberValidator)());oz.Factory.addGetterSetter(Kc,"sides",0,(0,sz.getNumberValidator)());var Jb={};Object.defineProperty(Jb,"__esModule",{value:!0});Jb.Ring=void 0;const az=xt,c1e=zr,lz=He,d1e=Et;var W8=Math.PI*2;class Xc extends c1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,W8,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),W8,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}Jb.Ring=Xc;Xc.prototype.className="Ring";Xc.prototype._centroid=!0;Xc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,d1e._registerNode)(Xc);az.Factory.addGetterSetter(Xc,"innerRadius",0,(0,lz.getNumberValidator)());az.Factory.addGetterSetter(Xc,"outerRadius",0,(0,lz.getNumberValidator)());var eS={};Object.defineProperty(eS,"__esModule",{value:!0});eS.Sprite=void 0;const Qc=xt,f1e=zr,h1e=ch,uz=He,p1e=Et;class xa extends f1e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new h1e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var 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t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}eS.Sprite=xa;xa.prototype.className="Sprite";(0,p1e._registerNode)(xa);Qc.Factory.addGetterSetter(xa,"animation");Qc.Factory.addGetterSetter(xa,"animations");Qc.Factory.addGetterSetter(xa,"frameOffsets");Qc.Factory.addGetterSetter(xa,"image");Qc.Factory.addGetterSetter(xa,"frameIndex",0,(0,uz.getNumberValidator)());Qc.Factory.addGetterSetter(xa,"frameRate",17,(0,uz.getNumberValidator)());Qc.Factory.backCompat(xa,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var tS={};Object.defineProperty(tS,"__esModule",{value:!0});tS.Star=void 0;const CT=xt,g1e=zr,ET=He,m1e=Et;class Ou extends g1e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}tS.Star=Ou;Ou.prototype.className="Star";Ou.prototype._centroid=!0;Ou.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,m1e._registerNode)(Ou);CT.Factory.addGetterSetter(Ou,"numPoints",5,(0,ET.getNumberValidator)());CT.Factory.addGetterSetter(Ou,"innerRadius",0,(0,ET.getNumberValidator)());CT.Factory.addGetterSetter(Ou,"outerRadius",0,(0,ET.getNumberValidator)());var Ic={};Object.defineProperty(Ic,"__esModule",{value:!0});Ic.Text=Ic.stringToArray=void 0;const r3=ir,Zi=xt,y1e=zr,Iu=He,v1e=Et;function cz(e){return Array.from(e)}Ic.stringToArray=cz;var yd="auto",_1e="center",Bh="justify",b1e="Change.konva",S1e="2d",K8="-",dz="left",w1e="text",x1e="Text",C1e="top",E1e="bottom",X8="middle",fz="normal",T1e="px 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n=0;n<R1e;n++)this.on(hz[n]+b1e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,b,_=0,_=s/2,v=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",X8),t.setAttr("textAlign",dz),a===X8?l=(this.getHeight()-r*s-i*2)/2:a===E1e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),b=0;b<r;b++){var v=0,g=0,y=n[b],S=y.text,w=y.width,x=y.lastInParagraph,E,A,T;if(t.save(),u===A1e?v+=c-w-i*2:u===_1e&&(v+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(v,_+g+Math.round(o/2)),E=S.split(" ").length-1,A=E===0,T=u===Bh&&!x?c-i*2:w,t.lineTo(v+Math.round(T),_+g+Math.round(o/2)),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(v,_+g),E=S.split(" ").length-1,A=E===0,T=u===Bh&&x&&!A?c-i*2:w,t.lineTo(v+Math.round(T),_+g),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(d!==0||u===Bh){E=S.split(" ").length-1;for(var k=cz(S),L=0;L<k.length;L++){var N=k[L];N===" "&&!x&&u===Bh&&(v+=(c-i*2-w)/E),this._partialTextX=v,this._partialTextY=_+g,this._partialText=N,t.fillStrokeShape(this),v+=this.measureSize(N).width+d}}else this._partialTextX=v,this._partialTextY=_+g,this._partialText=S,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=r3.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(w1e,n),this}getWidth(){var t=this.attrs.width===yd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===yd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return r3.Util.warn("text.getTextHeight() method is deprecated. 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Ew.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}nS.TextPath=Ur;Ur.prototype._fillFunc=mz;Ur.prototype._strokeFunc=yz;Ur.prototype._fillFuncHit=mz;Ur.prototype._strokeFuncHit=yz;Ur.prototype.className="TextPath";Ur.prototype._attrsAffectingSize=["text","fontSize","data"];(0,L1e._registerNode)(Ur);Fs.Factory.addGetterSetter(Ur,"data");Fs.Factory.addGetterSetter(Ur,"fontFamily","Arial");Fs.Factory.addGetterSetter(Ur,"fontSize",12,(0,pz.getNumberValidator)());Fs.Factory.addGetterSetter(Ur,"fontStyle",gz);Fs.Factory.addGetterSetter(Ur,"align","left");Fs.Factory.addGetterSetter(Ur,"letterSpacing",0,(0,pz.getNumberValidator)());Fs.Factory.addGetterSetter(Ur,"textBaseline","middle");Fs.Factory.addGetterSetter(Ur,"fontVariant",gz);Fs.Factory.addGetterSetter(Ur,"text",$1e);Fs.Factory.addGetterSetter(Ur,"textDecoration",null);Fs.Factory.addGetterSetter(Ur,"kerningFunc",null);var rS={};Object.defineProperty(rS,"__esModule",{value:!0});rS.Transformer=void 0;const hn=ir,ln=xt,Y8=Kn,F1e=zr,B1e=Um,Z8=uh,ms=Et,Mu=He,z1e=Et;var vz="tr-konva",U1e=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${vz}`).join(" "),J8="nodesRect",j1e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],V1e={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const G1e="ontouchstart"in ms.Konva._global;function H1e(e,t){if(e==="rotater")return"crosshair";t+=hn.Util.degToRad(V1e[e]||0);var n=(hn.Util.radToDeg(t)%360+360)%360;return hn.Util._inRange(n,315+22.5,360)||hn.Util._inRange(n,0,22.5)?"ns-resize":hn.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":hn.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":hn.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":hn.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":hn.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":hn.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":hn.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(hn.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var C1=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],eR=1e8;function q1e(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function _z(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function W1e(e,t){const n=q1e(e);return _z(e,t,n)}function K1e(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=ms.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Vt extends Z8.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(U1e,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return hn.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return vz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(hn.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(j1e.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(J8),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(J8,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(ms.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return _z(c,-ms.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-eR,y:-eR,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new hn.Transform;r.rotate(-ms.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:ms.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),C1.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new B1e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:G1e?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=ms.Konva.getAngle(this.rotation()),o=H1e(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new F1e.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*hn.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let N=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(N-=Math.PI);var f=ms.Konva.getAngle(this.rotation());const C=f+N,P=ms.Konva.getAngle(this.rotationSnapTolerance()),B=K1e(this.rotationSnaps(),C,P)-d.rotation,R=W1e(d,B);this._fitNodesInto(R,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-right").x()<m.x?-1:1,_=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var v=o.position();this.findOne(".top-left").y(v.y),this.findOne(".bottom-right").x(v.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var b=m.x<o.x()?-1:1,_=o.y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,o.x(m.x-n),o.y(m.y+r)}v=o.position(),this.findOne(".top-left").x(v.x),this.findOne(".bottom-right").y(v.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var b=this.findOne(".bottom-right").x()<m.x?-1:1,_=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var y=this.findOne(".top-left"),S=this.findOne(".bottom-right"),w=y.x(),x=y.y(),E=this.getWidth()-S.x(),A=this.getHeight()-S.y();S.move({x:-w,y:-x}),y.move({x:E,y:A})}var T=this.findOne(".top-left").getAbsolutePosition();n=T.x,r=T.y;var k=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),L=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:k,height:L,rotation:ms.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(hn.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(hn.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new hn.Transform;if(s.rotate(ms.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:hn.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new hn.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new hn.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new hn.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(hn.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(hn.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*hn.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),Z8.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return Y8.Node.prototype.toObject.call(this)}clone(t){var n=Y8.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}rS.Transformer=Vt;function X1e(e){return e instanceof Array||hn.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){C1.indexOf(t)===-1&&hn.Util.warn("Unknown anchor name: "+t+". Available names are: "+C1.join(", "))}),e||[]}Vt.prototype.className="Transformer";(0,z1e._registerNode)(Vt);ln.Factory.addGetterSetter(Vt,"enabledAnchors",C1,X1e);ln.Factory.addGetterSetter(Vt,"flipEnabled",!0,(0,Mu.getBooleanValidator)());ln.Factory.addGetterSetter(Vt,"resizeEnabled",!0);ln.Factory.addGetterSetter(Vt,"anchorSize",10,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"rotateEnabled",!0);ln.Factory.addGetterSetter(Vt,"rotationSnaps",[]);ln.Factory.addGetterSetter(Vt,"rotateAnchorOffset",50,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"rotationSnapTolerance",5,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderEnabled",!0);ln.Factory.addGetterSetter(Vt,"anchorStroke","rgb(0, 161, 255)");ln.Factory.addGetterSetter(Vt,"anchorStrokeWidth",1,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"anchorFill","white");ln.Factory.addGetterSetter(Vt,"anchorCornerRadius",0,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderStroke","rgb(0, 161, 255)");ln.Factory.addGetterSetter(Vt,"borderStrokeWidth",1,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderDash");ln.Factory.addGetterSetter(Vt,"keepRatio",!0);ln.Factory.addGetterSetter(Vt,"shiftBehavior","default");ln.Factory.addGetterSetter(Vt,"centeredScaling",!1);ln.Factory.addGetterSetter(Vt,"ignoreStroke",!1);ln.Factory.addGetterSetter(Vt,"padding",0,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"node");ln.Factory.addGetterSetter(Vt,"nodes");ln.Factory.addGetterSetter(Vt,"boundBoxFunc");ln.Factory.addGetterSetter(Vt,"anchorDragBoundFunc");ln.Factory.addGetterSetter(Vt,"anchorStyleFunc");ln.Factory.addGetterSetter(Vt,"shouldOverdrawWholeArea",!1);ln.Factory.addGetterSetter(Vt,"useSingleNodeRotation",!0);ln.Factory.backCompat(Vt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var iS={};Object.defineProperty(iS,"__esModule",{value:!0});iS.Wedge=void 0;const oS=xt,Q1e=zr,Y1e=Et,bz=He,Z1e=Et;class gl extends Q1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Y1e.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}iS.Wedge=gl;gl.prototype.className="Wedge";gl.prototype._centroid=!0;gl.prototype._attrsAffectingSize=["radius"];(0,Z1e._registerNode)(gl);oS.Factory.addGetterSetter(gl,"radius",0,(0,bz.getNumberValidator)());oS.Factory.addGetterSetter(gl,"angle",0,(0,bz.getNumberValidator)());oS.Factory.addGetterSetter(gl,"clockwise",!1);oS.Factory.backCompat(gl,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var sS={};Object.defineProperty(sS,"__esModule",{value:!0});sS.Blur=void 0;const tR=xt,J1e=Kn,e_e=He;function nR(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var t_e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],n_e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function r_e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,v,g,y,S,w,x,E,A,T,k,L,N=t+t+1,C=r-1,P=i-1,D=t+1,B=D*(D+1)/2,R=new nR,O=null,I=R,F=null,U=null,V=t_e[t],H=n_e[t];for(a=1;a<N;a++)I=I.next=new nR,a===D&&(O=I);for(I.next=R,d=c=0,s=0;s<i;s++){for(y=S=w=x=f=h=p=m=0,b=D*(E=n[c]),_=D*(A=n[c+1]),v=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*E,h+=B*A,p+=B*T,m+=B*k,I=R,a=0;a<D;a++)I.r=E,I.g=A,I.b=T,I.a=k,I=I.next;for(a=1;a<D;a++)l=c+((C<a?C:a)<<2),f+=(I.r=E=n[l])*(L=D-a),h+=(I.g=A=n[l+1])*L,p+=(I.b=T=n[l+2])*L,m+=(I.a=k=n[l+3])*L,y+=E,S+=A,w+=T,x+=k,I=I.next;for(F=R,U=O,o=0;o<r;o++)n[c+3]=k=m*V>>H,k!==0?(k=255/k,n[c]=(f*V>>H)*k,n[c+1]=(h*V>>H)*k,n[c+2]=(p*V>>H)*k):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=v,m-=g,b-=F.r,_-=F.g,v-=F.b,g-=F.a,l=d+((l=o+t+1)<C?l:C)<<2,y+=F.r=n[l],S+=F.g=n[l+1],w+=F.b=n[l+2],x+=F.a=n[l+3],f+=y,h+=S,p+=w,m+=x,F=F.next,b+=E=U.r,_+=A=U.g,v+=T=U.b,g+=k=U.a,y-=E,S-=A,w-=T,x-=k,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(S=w=x=y=h=p=m=f=0,c=o<<2,b=D*(E=n[c]),_=D*(A=n[c+1]),v=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*E,h+=B*A,p+=B*T,m+=B*k,I=R,a=0;a<D;a++)I.r=E,I.g=A,I.b=T,I.a=k,I=I.next;for(u=r,a=1;a<=t;a++)c=u+o<<2,f+=(I.r=E=n[c])*(L=D-a),h+=(I.g=A=n[c+1])*L,p+=(I.b=T=n[c+2])*L,m+=(I.a=k=n[c+3])*L,y+=E,S+=A,w+=T,x+=k,I=I.next,a<P&&(u+=r);for(c=o,F=R,U=O,s=0;s<i;s++)l=c<<2,n[l+3]=k=m*V>>H,k>0?(k=255/k,n[l]=(f*V>>H)*k,n[l+1]=(h*V>>H)*k,n[l+2]=(p*V>>H)*k):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=v,m-=g,b-=F.r,_-=F.g,v-=F.b,g-=F.a,l=o+((l=s+D)<P?l:P)*r<<2,f+=y+=F.r=n[l],h+=S+=F.g=n[l+1],p+=w+=F.b=n[l+2],m+=x+=F.a=n[l+3],F=F.next,b+=E=U.r,_+=A=U.g,v+=T=U.b,g+=k=U.a,y-=E,S-=A,w-=T,x-=k,U=U.next,c+=r}}const i_e=function(t){var n=Math.round(this.blurRadius());n>0&&r_e(t,n)};sS.Blur=i_e;tR.Factory.addGetterSetter(J1e.Node,"blurRadius",0,(0,e_e.getNumberValidator)(),tR.Factory.afterSetFilter);var aS={};Object.defineProperty(aS,"__esModule",{value:!0});aS.Brighten=void 0;const rR=xt,o_e=Kn,s_e=He,a_e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};aS.Brighten=a_e;rR.Factory.addGetterSetter(o_e.Node,"brightness",0,(0,s_e.getNumberValidator)(),rR.Factory.afterSetFilter);var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.Contrast=void 0;const iR=xt,l_e=Kn,u_e=He,c_e=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};lS.Contrast=c_e;iR.Factory.addGetterSetter(l_e.Node,"contrast",0,(0,u_e.getNumberValidator)(),iR.Factory.afterSetFilter);var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.Emboss=void 0;const yu=xt,cS=Kn,d_e=ir,Sz=He,f_e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:d_e.Util.error("Unknown emboss direction: "+r)}do{var f=(d-1)*c,h=o;d+h<1&&(h=0),d+h>u&&(h=0);var p=(d-1+h)*l*4,m=l;do{var b=f+(m-1)*4,_=s;m+_<1&&(_=0),m+_>l&&(_=0);var v=p+(m-1+_)*4,g=a[b]-a[v],y=a[b+1]-a[v+1],S=a[b+2]-a[v+2],w=g,x=w>0?w:-w,E=y>0?y:-y,A=S>0?S:-S;if(E>x&&(w=y),A>x&&(w=S),w*=t,i){var T=a[b]+w,k=a[b+1]+w,L=a[b+2]+w;a[b]=T>255?255:T<0?0:T,a[b+1]=k>255?255:k<0?0:k,a[b+2]=L>255?255:L<0?0:L}else{var N=n-w;N<0?N=0:N>255&&(N=255),a[b]=a[b+1]=a[b+2]=N}}while(--m)}while(--d)};uS.Emboss=f_e;yu.Factory.addGetterSetter(cS.Node,"embossStrength",.5,(0,Sz.getNumberValidator)(),yu.Factory.afterSetFilter);yu.Factory.addGetterSetter(cS.Node,"embossWhiteLevel",.5,(0,Sz.getNumberValidator)(),yu.Factory.afterSetFilter);yu.Factory.addGetterSetter(cS.Node,"embossDirection","top-left",null,yu.Factory.afterSetFilter);yu.Factory.addGetterSetter(cS.Node,"embossBlend",!1,null,yu.Factory.afterSetFilter);var dS={};Object.defineProperty(dS,"__esModule",{value:!0});dS.Enhance=void 0;const oR=xt,h_e=Kn,p_e=He;function Aw(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const g_e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<s?s=l:l>a&&(a=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,v,g,y,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),v=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,v=a+h*(a-_),g=s+h*(s-_),y=(c+u)*.5,S=c+h*(c-y),w=u+h*(u-y)),f=0;f<n;f+=4)t[f+0]=Aw(t[f+0],r,i,b,m),t[f+1]=Aw(t[f+1],s,a,g,v),t[f+2]=Aw(t[f+2],u,c,w,S)}};dS.Enhance=g_e;oR.Factory.addGetterSetter(h_e.Node,"enhance",0,(0,p_e.getNumberValidator)(),oR.Factory.afterSetFilter);var fS={};Object.defineProperty(fS,"__esModule",{value:!0});fS.Grayscale=void 0;const m_e=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};fS.Grayscale=m_e;var hS={};Object.defineProperty(hS,"__esModule",{value:!0});hS.HSL=void 0;const Vf=xt,TT=Kn,AT=He;Vf.Factory.addGetterSetter(TT.Node,"hue",0,(0,AT.getNumberValidator)(),Vf.Factory.afterSetFilter);Vf.Factory.addGetterSetter(TT.Node,"saturation",0,(0,AT.getNumberValidator)(),Vf.Factory.afterSetFilter);Vf.Factory.addGetterSetter(TT.Node,"luminance",0,(0,AT.getNumberValidator)(),Vf.Factory.afterSetFilter);const y_e=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),c=.299*r+.701*l+.167*u,d=.587*r-.587*l+.33*u,f=.114*r-.114*l-.497*u,h=.299*r-.299*l-.328*u,p=.587*r+.413*l+.035*u,m=.114*r-.114*l+.293*u,b=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,v=.114*r+.886*l-.2*u,g,y,S,w;for(a=0;a<n;a+=4)g=t[a+0],y=t[a+1],S=t[a+2],w=t[a+3],t[a+0]=c*g+d*y+f*S+s,t[a+1]=h*g+p*y+m*S+s,t[a+2]=b*g+_*y+v*S+s,t[a+3]=w};hS.HSL=y_e;var pS={};Object.defineProperty(pS,"__esModule",{value:!0});pS.HSV=void 0;const Gf=xt,kT=Kn,PT=He,v_e=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,c=.587*r-.587*a+.33*l,d=.114*r-.114*a-.497*l,f=.299*r-.299*a-.328*l,h=.587*r+.413*a+.035*l,p=.114*r-.114*a+.293*l,m=.299*r-.3*a+1.25*l,b=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,v,g,y,S;for(s=0;s<n;s+=4)v=t[s+0],g=t[s+1],y=t[s+2],S=t[s+3],t[s+0]=u*v+c*g+d*y,t[s+1]=f*v+h*g+p*y,t[s+2]=m*v+b*g+_*y,t[s+3]=S};pS.HSV=v_e;Gf.Factory.addGetterSetter(kT.Node,"hue",0,(0,PT.getNumberValidator)(),Gf.Factory.afterSetFilter);Gf.Factory.addGetterSetter(kT.Node,"saturation",0,(0,PT.getNumberValidator)(),Gf.Factory.afterSetFilter);Gf.Factory.addGetterSetter(kT.Node,"value",0,(0,PT.getNumberValidator)(),Gf.Factory.afterSetFilter);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Invert=void 0;const __e=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};gS.Invert=__e;var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Kaleidoscope=void 0;const E1=xt,wz=Kn,sR=ir,xz=He;var b_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f=0,h=0,p=0,m=0,b,_=Math.sqrt(a*a+l*l);c=o-a,d=s-l,b=Math.sqrt(c*c+d*d),_=b>_?b:_;var v=s,g=o,y,S,w=360/g*Math.PI/180,x,E;for(S=0;S<g;S+=1)for(x=Math.sin(S*w),E=Math.cos(S*w),y=0;y<v;y+=1)c=Math.floor(a+_*y/v*E),d=Math.floor(l+_*y/v*x),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(S+y*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},S_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f,h,p=0,m=0,b=0,_=0,v,g=Math.sqrt(a*a+l*l);c=o-a,d=s-l,v=Math.sqrt(c*c+d*d),g=v>g?v:g;var y=s,S=o,w,x,E=n.polarRotation||0,A,T;for(c=0;c<o;c+=1)for(d=0;d<s;d+=1)f=c-a,h=d-l,w=Math.sqrt(f*f+h*h)*y/g,x=(Math.atan2(h,f)*180/Math.PI+360+E)%360,x=x*S/360,A=Math.floor(x),T=Math.floor(w),u=(T*o+A)*4,p=r[u+0],m=r[u+1],b=r[u+2],_=r[u+3],u=(d*o+c)*4,i[u+0]=p,i[u+1]=m,i[u+2]=b,i[u+3]=_};const w_e=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,c,d,f,h=Math.round(this.kaleidoscopePower()),p=Math.round(this.kaleidoscopeAngle()),m=Math.floor(t*(p%360)/360);if(!(h<1)){var b=sR.Util.createCanvasElement();b.width=t,b.height=n;var _=b.getContext("2d").getImageData(0,0,t,n);sR.Util.releaseCanvas(b),b_e(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var v=t/Math.pow(2,h);v<=8;)v=v*2,h-=1;v=Math.ceil(v);var g=v,y=0,S=g,w=1;for(m+v>t&&(y=g,S=0,w=-1),i=0;i<n;i+=1)for(r=y;r!==S;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+r)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(v),s=0;s<h;s+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+g*2-r-1)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;g*=2}S_e(_,e,{polarRotation:0})}};mS.Kaleidoscope=w_e;E1.Factory.addGetterSetter(wz.Node,"kaleidoscopePower",2,(0,xz.getNumberValidator)(),E1.Factory.afterSetFilter);E1.Factory.addGetterSetter(wz.Node,"kaleidoscopeAngle",0,(0,xz.getNumberValidator)(),E1.Factory.afterSetFilter);var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Mask=void 0;const aR=xt,x_e=Kn,C_e=He;function Yy(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function Uh(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function E_e(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function T_e(e,t){var n=Yy(e,0,0),r=Yy(e,e.width-1,0),i=Yy(e,0,e.height-1),o=Yy(e,e.width-1,e.height-1),s=t||10;if(Uh(n,r)<s&&Uh(r,o)<s&&Uh(o,i)<s&&Uh(i,n)<s){for(var a=E_e([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var c=Uh(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=c<s?0:255}return l}}function A_e(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function k_e(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c===255*8?255:0}return s}function P_e(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c>=255*4?255:0}return s}function R_e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c}return s}const O_e=function(e){var t=this.threshold(),n=T_e(e,t);return n&&(n=k_e(n,e.width,e.height),n=P_e(n,e.width,e.height),n=R_e(n,e.width,e.height),A_e(e,n)),e};yS.Mask=O_e;aR.Factory.addGetterSetter(x_e.Node,"threshold",0,(0,C_e.getNumberValidator)(),aR.Factory.afterSetFilter);var vS={};Object.defineProperty(vS,"__esModule",{value:!0});vS.Noise=void 0;const lR=xt,I_e=Kn,M_e=He,N_e=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};vS.Noise=N_e;lR.Factory.addGetterSetter(I_e.Node,"noise",.2,(0,M_e.getNumberValidator)(),lR.Factory.afterSetFilter);var _S={};Object.defineProperty(_S,"__esModule",{value:!0});_S.Pixelate=void 0;const uR=xt,D_e=ir,L_e=Kn,$_e=He,F_e=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,b,_,v,g,y=e.data;if(t<=0){D_e.Util.error("pixelSize value can not be <= 0");return}for(_=0;_<d;_+=1)for(v=0;v<f;v+=1){for(a=0,l=0,u=0,c=0,h=_*t,p=h+t,m=v*t,b=m+t,g=0,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<b;o+=1)o>=r||(s=(n*o+i)*4,a+=y[s+0],l+=y[s+1],u+=y[s+2],c+=y[s+3],g+=1);for(a=a/g,l=l/g,u=u/g,c=c/g,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<b;o+=1)o>=r||(s=(n*o+i)*4,y[s+0]=a,y[s+1]=l,y[s+2]=u,y[s+3]=c)}};_S.Pixelate=F_e;uR.Factory.addGetterSetter(L_e.Node,"pixelSize",8,(0,$_e.getNumberValidator)(),uR.Factory.afterSetFilter);var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.Posterize=void 0;const cR=xt,B_e=Kn,z_e=He,U_e=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o<r;o+=1)n[o]=Math.floor(n[o]/i)*i};bS.Posterize=U_e;cR.Factory.addGetterSetter(B_e.Node,"levels",.5,(0,z_e.getNumberValidator)(),cR.Factory.afterSetFilter);var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.RGB=void 0;const T1=xt,RT=Kn,j_e=He,V_e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};SS.RGB=V_e;T1.Factory.addGetterSetter(RT.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});T1.Factory.addGetterSetter(RT.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});T1.Factory.addGetterSetter(RT.Node,"blue",0,j_e.RGBComponent,T1.Factory.afterSetFilter);var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.RGBA=void 0;const zg=xt,xS=Kn,G_e=He,H_e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};wS.RGBA=H_e;zg.Factory.addGetterSetter(xS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});zg.Factory.addGetterSetter(xS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});zg.Factory.addGetterSetter(xS.Node,"blue",0,G_e.RGBComponent,zg.Factory.afterSetFilter);zg.Factory.addGetterSetter(xS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.Sepia=void 0;const q_e=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};CS.Sepia=q_e;var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Solarize=void 0;const W_e=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};ES.Solarize=W_e;var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Threshold=void 0;const dR=xt,K_e=Kn,X_e=He,Q_e=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};TS.Threshold=Q_e;dR.Factory.addGetterSetter(K_e.Node,"threshold",.5,(0,X_e.getNumberValidator)(),dR.Factory.afterSetFilter);Object.defineProperty(Db,"__esModule",{value:!0});Db.Konva=void 0;const fR=VB,Y_e=Ub,Z_e=Gb,J_e=Wb,ebe=Kb,tbe=Xb,hR=jf,nbe=Bm,rbe=dh,ibe=Um,obe=Zb,sbe=Jb,abe=eS,lbe=tS,ube=Ic,cbe=nS,dbe=rS,fbe=iS,hbe=sS,pbe=aS,gbe=lS,mbe=uS,ybe=dS,vbe=fS,_be=hS,bbe=pS,Sbe=gS,wbe=mS,xbe=yS,Cbe=vS,Ebe=_S,Tbe=bS,Abe=SS,kbe=wS,Pbe=CS,Rbe=ES,Obe=TS;Db.Konva=fR.Konva.Util._assign(fR.Konva,{Arc:Y_e.Arc,Arrow:Z_e.Arrow,Circle:J_e.Circle,Ellipse:ebe.Ellipse,Image:tbe.Image,Label:hR.Label,Tag:hR.Tag,Line:nbe.Line,Path:rbe.Path,Rect:ibe.Rect,RegularPolygon:obe.RegularPolygon,Ring:sbe.Ring,Sprite:abe.Sprite,Star:lbe.Star,Text:ube.Text,TextPath:cbe.TextPath,Transformer:dbe.Transformer,Wedge:fbe.Wedge,Filters:{Blur:hbe.Blur,Brighten:pbe.Brighten,Contrast:gbe.Contrast,Emboss:mbe.Emboss,Enhance:ybe.Enhance,Grayscale:vbe.Grayscale,HSL:_be.HSL,HSV:bbe.HSV,Invert:Sbe.Invert,Kaleidoscope:wbe.Kaleidoscope,Mask:xbe.Mask,Noise:Cbe.Noise,Pixelate:Ebe.Pixelate,Posterize:Tbe.Posterize,RGB:Abe.RGB,RGBA:kbe.RGBA,Sepia:Pbe.Sepia,Solarize:Rbe.Solarize,Threshold:Obe.Threshold}});var Ibe=mT.exports;Object.defineProperty(Ibe,"__esModule",{value:!0});const Mbe=Db;mT.exports=Mbe.Konva;var Nbe=mT.exports;const jh=Dc(Nbe),Dbe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new jh.Stage({container:o,width:r,height:i}),a=new jh.Layer,l=new jh.Layer;return a.add(new jh.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new jh.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},Lbe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),pR=async(e,t)=>{const n=e.toDataURL(t);return await Lbe(n,t.width,t.height)},OT=async(e,t,n,r,i)=>{const o=pe("canvas"),s=Mb(),a=R0e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const c=u.getAbsolutePosition(),d={x:l.x+c.x,y:l.y+c.y,width:l.width,height:l.height},f=await w1(u,d),h=await pR(u,d),p=await Dbe(r?e.objects.filter(lD):[],l,i),m=await w1(p,l),b=await pR(p,l);return{baseBlob:f,baseImageData:h,maskBlob:m,maskImageData:b}},$be=()=>{xe({actionCreator:x0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await OT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Fn({title:"Problem Saving Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery;t(he.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Saved to Assets"}}}))}})},Fbe=()=>{xe({actionCreator:k0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await OT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Fn({title:"Problem Importing Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery,l=await t(he.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Sent to ControlNet & Assets"}}})).unwrap(),{image_name:u}=l;t(jc({controlNetId:e.payload.controlNet.controlNetId,controlImage:u}))}})},Bbe=async()=>{const e=Mb();if(!e)return;const t=e.clone();return t.scale({x:1,y:1}),w1(t,t.getClientRect())},zbe=()=>{xe({actionCreator:T0e,effect:async(e,{dispatch:t})=>{const n=tb.get().child({namespace:"canvasCopiedToClipboardListener"}),r=await Bbe();if(!r){n.error("Problem getting base layer blob"),t(Fn({title:"Problem Merging Canvas",description:"Unable to export base layer",status:"error"}));return}const i=Mb();if(!i){n.error("Problem getting canvas base layer"),t(Fn({title:"Problem Merging Canvas",description:"Unable to export base layer",status:"error"}));return}const o=i.getClientRect({relativeTo:i.getParent()}),s=await t(he.endpoints.uploadImage.initiate({file:new File([r],"mergedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Canvas Merged"}}})).unwrap(),{image_name:a}=s;t(Dne({kind:"image",layer:"base",imageName:a,...o}))}})},Ube=()=>{xe({actionCreator:w0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await Nb(i);if(!o){r.error("Problem getting base layer blob"),t(Fn({title:"Problem Saving Canvas",description:"Unable to export base layer",status:"error"}));return}const{autoAddBoardId:s}=i.gallery;t(he.endpoints.uploadImage.initiate({file:new File([o],"savedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!1,board_id:s==="none"?void 0:s,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Canvas Saved to Gallery"}}}))}})},jbe=(e,t,n)=>{var d;if(!(Hce.match(e)||S6.match(e)||jc.match(e)||qce.match(e)||w6.match(e))||w6.match(e)&&((d=n.controlNet.controlNets[e.payload.controlNetId])==null?void 0:d.shouldAutoConfig)===!0)return!1;const i=t.controlNet.controlNets[e.payload.controlNetId];if(!i)return!1;const{controlImage:o,processorType:s,shouldAutoConfig:a}=i;if(S6.match(e)&&!a)return!1;const l=s!=="none",u=t.system.isProcessing;return l&&!u&&!!o},Vbe=()=>{xe({predicate:jbe,effect:async(e,{dispatch:t,cancelActiveListeners:n,delay:r})=>{const i=pe("session"),{controlNetId:o}=e.payload;n(),i.trace("ControlNet auto-process triggered"),await r(300),t(HE({controlNetId:o}))}})},Yc=Me("system/sessionReadyToInvoke"),Cz=e=>(e==null?void 0:e.type)==="image_output",Gbe=()=>{xe({actionCreator:HE,effect:async(e,{dispatch:t,getState:n,take:r})=>{const i=pe("session"),{controlNetId:o}=e.payload,s=n().controlNet.controlNets[o];if(!(s!=null&&s.controlImage)){i.error("Unable to process ControlNet image");return}const a={nodes:{[s.processorNode.id]:{...s.processorNode,is_intermediate:!0,image:{image_name:s.controlImage}}}},l=t(Si({graph:a})),[u]=await r(f=>Si.fulfilled.match(f)&&f.meta.requestId===l.requestId),c=u.payload.id;t(Yc());const[d]=await r(f=>jE.match(f)&&f.payload.data.graph_execution_state_id===c);if(Cz(d.payload.data.result)){const{image_name:f}=d.payload.data.result.image,[{payload:h}]=await r(m=>he.endpoints.getImageDTO.matchFulfilled(m)&&m.payload.image_name===f),p=h;i.debug({controlNetId:e.payload,processedControlImage:p},"ControlNet image processed"),t(qE({controlNetId:o,processedControlImage:p.image_name}))}}})},Hbe=()=>{xe({matcher:he.endpoints.addImageToBoard.matchFulfilled,effect:e=>{const t=pe("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Image added to board")}})},qbe=()=>{xe({matcher:he.endpoints.addImageToBoard.matchRejected,effect:e=>{const t=pe("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Problem adding image to 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c=n==AS;(t.id===Rz||t.id===s3||t.id===NT||t.id===A1)&&t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:qe,field:"vae"}}),(t.id===Oz||t.id===a3||t.id===RS||t.id==jg)&&t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:a?qe:me,field:"vae"}}),(t.id===s3||t.id===A1||t.id===a3||t.id===jg)&&t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Dn,field:"vae"}}),(t.id===kS||t.id===PS||t.id===Mc||t.id===Nc)&&(t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Bn,field:"vae"}},{source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Ln,field:"vae"}},{source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:qe,field:"vae"}}),i!=="unmasked"&&t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Nt,field:"vae"}})),s&&(t.id===Mc||t.id===Nc)&&t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:$a,field:"vae"}}),r&&u&&(u.vae=r)},ds=(e,t,n=qe)=>{const 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0,controlnets:[],loras:[],clip_skip:d,strength:u,init_image:t.image_name},A.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(p||m)&&(us(e,A,x),x=$r),hh(e,A,Fe),cs(e,A,x),Du(e,A),as(e,A,Fe),e.system.shouldUseNSFWChecker&&ls(e,A,me),e.system.shouldUseWatermarker&&ds(e,A,me),A},Z2e=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,maskBlurMethod:v,canvasCoherenceMode:g,canvasCoherenceSteps:y,canvasCoherenceStrength:S,clipSkip:w,seamlessXAxis:x,seamlessYAxis:E}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:A,height:T}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:k,boundingBoxScaleMethod:L,shouldAutoSave:N}=e.canvas,C=p==="fp32",P=["auto","manual"].includes(L);let D=Nu;const B=b,R={id:kS,nodes:{[D]:{type:"main_model_loader",id:D,is_intermediate:!0,model:s},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:w},[Be]:{type:"compel",id:Be,is_intermediate:!0,prompt:i},[Ve]:{type:"compel",id:Ve,is_intermediate:!0,prompt:o},[Ri]:{type:"img_blur",id:Ri,is_intermediate:!0,radius:_,blur_type:v},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:C},[we]:{type:"noise",id:we,use_cpu:B,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:C},[Fe]:{type:"denoise_latents",id:Fe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[gn]:{type:"noise",id:we,use_cpu:B,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-S,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:C},[me]:{type:"color_correct",id:me,is_intermediate:!N,reference:t},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:d,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:D,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:D,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Fe,field:"latents"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Fe,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:D,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Fe,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(P){const O=k.width,I=k.height;R.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:O,height:I,image:t},R.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:O,height:I,image:n},R.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:A,height:T},R.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:A,height:T},R.nodes[we].width=O,R.nodes[we].height=I,R.nodes[gn].width=O,R.nodes[gn].height=I,R.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Ri,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else R.nodes[we].width=A,R.nodes[we].height=T,R.nodes[gn].width=A,R.nodes[gn].height=T,R.nodes[Bn]={...R.nodes[Bn],image:t},R.nodes[Ri]={...R.nodes[Ri],image:n},R.nodes[Ln]={...R.nodes[Ln],image:t},R.edges.push({source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:me,field:"mask"}});if(g!=="unmasked"&&(R.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:C},P?R.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Nt,field:"image"}}):R.nodes[Nt]={...R.nodes[Nt],image:t},g==="mask"&&(P?R.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):R.nodes[Nt]={...R.nodes[Nt],mask:n}),g==="edge"&&(R.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},P?R.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):R.nodes[lr]={...R.nodes[lr],image:n},R.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),R.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:yt,field:"denoise_mask"}})),h){const O={id:Dr,type:"rand_int"};R.nodes[Dr]=O,R.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else R.nodes[Wn].start=f;return(x||E)&&(us(e,R,D),D=$r),cs(e,R,D),hh(e,R,Fe,D),as(e,R,Fe),e.system.shouldUseNSFWChecker&&ls(e,R,me),e.system.shouldUseWatermarker&&ds(e,R,me),R},J2e=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,canvasCoherenceMode:v,canvasCoherenceSteps:g,canvasCoherenceStrength:y,infillTileSize:S,infillPatchmatchDownscaleSize:w,infillMethod:x,clipSkip:E,seamlessXAxis:A,seamlessYAxis:T}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in 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O=b,I={id:PS,nodes:{[R]:{type:"main_model_loader",id:R,is_intermediate:!0,model:s},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:E},[Be]:{type:"compel",id:Be,is_intermediate:!0,prompt:i},[Ve]:{type:"compel",id:Ve,is_intermediate:!0,prompt:o},[hf]:{type:"tomask",id:hf,is_intermediate:!0,image:t},[mi]:{type:"mask_combine",id:mi,is_intermediate:!0,mask2:n},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:D},[we]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:D},[Fe]:{type:"denoise_latents",id:Fe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[gn]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-y,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:D},[me]:{type:"color_correct",id:me,is_intermediate:!P},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:d,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:hf,field:"image"},destination:{node_id:mi,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Fe,field:"latents"}},{source:{node_id:B?$n:mi,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Fe,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Fe,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(x==="patchmatch"&&(I.nodes[Bt]={type:"infill_patchmatch",id:Bt,is_intermediate:!0,downscale:w}),x==="lama"&&(I.nodes[Bt]={type:"infill_lama",id:Bt,is_intermediate:!0}),x==="cv2"&&(I.nodes[Bt]={type:"infill_cv2",id:Bt,is_intermediate:!0}),x==="tile"&&(I.nodes[Bt]={type:"infill_tile",id:Bt,is_intermediate:!0,tile_size:S}),B){const F=N.width,U=N.height;I.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:F,height:U,image:t},I.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:F,height:U},I.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:k,height:L},I.nodes[Vl]={type:"img_resize",id:Vl,is_intermediate:!0,width:k,height:L},I.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},I.nodes[we].width=F,I.nodes[we].height=U,I.nodes[gn].width=F,I.nodes[gn].height=U,I.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bt,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Vl,field:"image"}},{source:{node_id:Vl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else I.nodes[Bt]={...I.nodes[Bt],image:t},I.nodes[we].width=k,I.nodes[we].height=L,I.nodes[gn].width=k,I.nodes[gn].height=L,I.nodes[Bn]={...I.nodes[Bn],image:t},I.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:me,field:"mask"}});if(v!=="unmasked"&&(I.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:D},I.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:Nt,field:"image"}}),v==="mask"&&(B?I.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):I.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:Nt,field:"mask"}})),v==="edge"&&(I.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},B?I.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):I.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:lr,field:"image"}}),I.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),I.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:yt,field:"denoise_mask"}})),h){const F={id:Dr,type:"rand_int"};I.nodes[Dr]=F,I.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else I.nodes[Wn].start=f;return(A||T)&&(us(e,I,R),R=$r),cs(e,I,R),hh(e,I,Fe,R),as(e,I,Fe),e.system.shouldUseNSFWChecker&&ls(e,I,me),e.system.shouldUseWatermarker&&ds(e,I,me),I},ph=(e,t,n,r=Oi)=>{const{loras:i}=e.lora,o=k_(i),s=t.nodes[At],a=r;let l=r;[$r,$a].includes(r)&&(l=Oi),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;ns(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${Pz}_${f.replace(".","_")}`,b={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};s&&(s.loras||(s.loras=[]),s.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=b,c===0?(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[Mc,Nc].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:yt,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Be,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Ve,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Be,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Ve,field:"clip2"}})),u=m,c+=1})},Zc=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},gh=(e,t,n,r,i)=>{const{refinerModel:o,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:a,refinerSteps:l,refinerScheduler:u,refinerCFGScale:c,refinerStart:d}=e.sdxl,{seamlessXAxis:f,seamlessYAxis:h,vaePrecision:p}=e.generation,{boundingBoxScaleMethod:m}=e.canvas,b=p==="fp32",_=["auto","manual"].includes(m);if(!o)return;const v=t.nodes[At];v&&(v.refiner_model=o,v.refiner_positive_aesthetic_score=s,v.refiner_negative_aesthetic_score=a,v.refiner_cfg_scale=c,v.refiner_scheduler=u,v.refiner_start=d,v.refiner_steps=l);const g=r||Oi,{craftedPositiveStylePrompt:y,craftedNegativeStylePrompt:S}=Zc(e,!0);t.edges=t.edges.filter(w=>!(w.source.node_id===n&&["latents"].includes(w.source.field))),t.edges=t.edges.filter(w=>!(w.source.node_id===g&&["vae"].includes(w.source.field))),t.nodes[ju]={type:"sdxl_refiner_model_loader",id:ju,model:o},t.nodes[Jy]={type:"sdxl_refiner_compel_prompt",id:Jy,style:y,aesthetic_score:s},t.nodes[e0]={type:"sdxl_refiner_compel_prompt",id:e0,style:S,aesthetic_score:a},t.nodes[Vs]={type:"denoise_latents",id:Vs,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[Cs]={id:Cs,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:ju,field:"unet"},destination:{node_id:Cs,field:"unet"}},{source:{node_id:ju,field:"vae"},destination:{node_id:Cs,field:"vae"}},{source:{node_id:Cs,field:"unet"},destination:{node_id:Vs,field:"unet"}})):t.edges.push({source:{node_id:ju,field:"unet"},destination:{node_id:Vs,field:"unet"}}),t.edges.push({source:{node_id:ju,field:"clip2"},destination:{node_id:Jy,field:"clip2"}},{source:{node_id:ju,field:"clip2"},destination:{node_id:e0,field:"clip2"}},{source:{node_id:Jy,field:"conditioning"},destination:{node_id:Vs,field:"positive_conditioning"}},{source:{node_id:e0,field:"conditioning"},destination:{node_id:Vs,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:Vs,field:"latents"}}),(t.id===Mc||t.id===Nc)&&(t.nodes[$a]={type:"create_denoise_mask",id:$a,is_intermediate:!0,fp32:b},_?t.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:$a,field:"image"}}):t.nodes[$a]={...t.nodes[$a],image:i},t.edges.push({source:{node_id:_?$n:mi,field:"image"},destination:{node_id:$a,field:"mask"}},{source:{node_id:$a,field:"denoise_mask"},destination:{node_id:Vs,field:"denoise_mask"}})),t.id===RS||t.id===jg?t.edges.push({source:{node_id:Vs,field:"latents"},destination:{node_id:_?qe:me,field:"latents"}}):t.edges.push({source:{node_id:Vs,field:"latents"},destination:{node_id:qe,field:"latents"}})},ewe=(e,t)=>{const n=pe("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:v}=e.sdxl,{width:g,height:y}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:x}=e.canvas,E=u==="fp32",A=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let T=Oi;const k=f?d:Ls.shouldUseCpuNoise,{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:N}=Zc(e,v),C={id:jg,nodes:{[T]:{type:"sdxl_model_loader",id:T,model:o},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:r,style:L},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:i,style:N},[we]:{type:"noise",id:we,is_intermediate:!0,use_cpu:k,width:A?S.width:g,height:A?S.height:y},[Dn]:{type:"i2l",id:Dn,is_intermediate:!0,fp32:E},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Dn,field:"latents"},destination:{node_id:Re,field:"latents"}}]};return A?(C.nodes[ff]={id:ff,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},C.nodes[qe]={id:qe,type:"l2i",is_intermediate:!0,fp32:E},C.nodes[me]={id:me,type:"img_resize",is_intermediate:!x,width:g,height:y},C.edges.push({source:{node_id:ff,field:"image"},destination:{node_id:Dn,field:"image"}},{source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(C.nodes[me]={type:"l2i",id:me,is_intermediate:!x,fp32:E},C.nodes[Dn].image=t,C.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),C.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:A?S.width:g,height:A?S.height:y,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:k?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},C.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(h||p)&&(us(e,C,T),T=$r),m&&(gh(e,C,Re,T),(h||p)&&(T=Cs)),cs(e,C,T),ph(e,C,Re,T),Du(e,C),as(e,C,Re),e.system.shouldUseNSFWChecker&&ls(e,C,me),e.system.shouldUseWatermarker&&ds(e,C,me),C},twe=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceMode:v,canvasCoherenceSteps:g,canvasCoherenceStrength:y,seamlessXAxis:S,seamlessYAxis:w}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:E,refinerStart:A,shouldConcatSDXLStylePrompt:T}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:k,height:L}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:N,boundingBoxScaleMethod:C,shouldAutoSave:P}=e.canvas,D=h==="fp32",B=["auto","manual"].includes(C);let R=Oi;const O=m,{craftedPositiveStylePrompt:I,craftedNegativeStylePrompt:F}=Zc(e,T),U={id:Mc,nodes:{[R]:{type:"sdxl_model_loader",id:R,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:I},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:F},[Ri]:{type:"img_blur",id:Ri,is_intermediate:!0,radius:b,blur_type:_},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:D},[we]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:D},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:E?Math.min(A,1-x):1-x,denoising_end:E?A:1},[gn]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-y,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:D},[me]:{type:"color_correct",id:me,is_intermediate:!P,reference:t},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:c,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:R,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(B){const V=N.width,H=N.height;U.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:V,height:H,image:t},U.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:V,height:H,image:n},U.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:k,height:L},U.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},U.nodes[we].width=V,U.nodes[we].height=H,U.nodes[gn].width=V,U.nodes[gn].height=H,U.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Ri,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else 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V={id:Dr,type:"rand_int"};U.nodes[Dr]=V,U.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else U.nodes[Wn].start=d;return(S||w)&&(us(e,U,R),R=$r),E&&(gh(e,U,yt,R,t),(S||w)&&(R=Cs)),cs(e,U,R),ph(e,U,Re,R),as(e,U,Re),e.system.shouldUseNSFWChecker&&ls(e,U,me),e.system.shouldUseWatermarker&&ds(e,U,me),U},nwe=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,canvasCoherenceMode:_,canvasCoherenceSteps:v,canvasCoherenceStrength:g,infillTileSize:y,infillPatchmatchDownscaleSize:S,infillMethod:w,seamlessXAxis:x,seamlessYAxis:E}=e.generation,{sdxlImg2ImgDenoisingStrength:A,shouldUseSDXLRefiner:T,refinerStart:k,shouldConcatSDXLStylePrompt:L}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in 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F=m,{craftedPositiveStylePrompt:U,craftedNegativeStylePrompt:V}=Zc(e,L),H={id:Nc,nodes:{[Oi]:{type:"sdxl_model_loader",id:Oi,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:U},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:V},[hf]:{type:"tomask",id:hf,is_intermediate:!0,image:t},[mi]:{type:"mask_combine",id:mi,is_intermediate:!0,mask2:n},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:R},[we]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:R},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:T?Math.min(k,1-A):1-A,denoising_end:T?k:1},[gn]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:v,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:R},[me]:{type:"color_correct",id:me,is_intermediate:!B},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:c,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:Oi,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:Oi,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Oi,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:Oi,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Oi,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:hf,field:"image"},destination:{node_id:mi,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:O?$n:mi,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:I,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(w==="patchmatch"&&(H.nodes[Bt]={type:"infill_patchmatch",id:Bt,is_intermediate:!0,downscale:S}),w==="lama"&&(H.nodes[Bt]={type:"infill_lama",id:Bt,is_intermediate:!0}),w==="cv2"&&(H.nodes[Bt]={type:"infill_cv2",id:Bt,is_intermediate:!0}),w==="tile"&&(H.nodes[Bt]={type:"infill_tile",id:Bt,is_intermediate:!0,tile_size:y}),O){const Y=P.width,Q=P.height;H.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:Y,height:Q,image:t},H.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:Y,height:Q},H.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:N,height:C},H.nodes[Vl]={type:"img_resize",id:Vl,is_intermediate:!0,width:N,height:C},H.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:N,height:C},H.nodes[we].width=Y,H.nodes[we].height=Q,H.nodes[gn].width=Y,H.nodes[gn].height=Q,H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bt,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Vl,field:"image"}},{source:{node_id:Vl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else H.nodes[Bt]={...H.nodes[Bt],image:t},H.nodes[we].width=N,H.nodes[we].height=C,H.nodes[gn].width=N,H.nodes[gn].height=C,H.nodes[Bn]={...H.nodes[Bn],image:t},H.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:me,field:"mask"}});if(_!=="unmasked"&&(H.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:R},H.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:Nt,field:"image"}}),_==="mask"&&(O?H.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):H.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:Nt,field:"mask"}})),_==="edge"&&(H.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},O?H.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):H.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:lr,field:"image"}}),H.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),H.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:yt,field:"denoise_mask"}})),f){const Y={id:Dr,type:"rand_int"};H.nodes[Dr]=Y,H.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else H.nodes[Wn].start=d;return(x||E)&&(us(e,H,I),I=$r),T&&(gh(e,H,yt,I,t),(x||E)&&(I=Cs)),cs(e,H,I),ph(e,H,Re,I),as(e,H,Re),e.system.shouldUseNSFWChecker&&ls(e,H,me),e.system.shouldUseWatermarker&&ds(e,H,me),H},rwe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:v}=e.canvas,g=l==="fp32",y=["auto","manual"].includes(_),{shouldUseSDXLRefiner:S,refinerStart:w,shouldConcatSDXLStylePrompt:x}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const E=d?c:Ls.shouldUseCpuNoise,A=i.model_type==="onnx";let T=A?AS:Oi;const k=A?"onnx_model_loader":"sdxl_model_loader",L=A?{type:"t2l_onnx",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:S?w:1},{craftedPositiveStylePrompt:N,craftedNegativeStylePrompt:C}=Zc(e,x),P={id:RS,nodes:{[T]:{type:k,id:T,is_intermediate:!0,model:i},[Be]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Be,is_intermediate:!0,prompt:n,style:N},[Ve]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Ve,is_intermediate:!0,prompt:r,style:C},[we]:{type:"noise",id:we,is_intermediate:!0,width:y?b.width:p,height:y?b.height:m,use_cpu:E},[L.id]:L},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}}]};return y?(P.nodes[qe]={id:qe,type:A?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},P.nodes[me]={id:me,type:"img_resize",is_intermediate:!v,width:p,height:m},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(P.nodes[me]={type:A?"l2i_onnx":"l2i",id:me,is_intermediate:!v,fp32:g},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),P.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:y?b.width:p,height:y?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:E?"cpu":"cuda",scheduler:s,vae:void 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E=w?"onnx_model_loader":"main_model_loader",A=w?{type:"t2l_onnx",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},T={id:Oz,nodes:{[x]:{type:E,id:x,is_intermediate:!0,model:i},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:u},[Be]:{type:w?"prompt_onnx":"compel",id:Be,is_intermediate:!0,prompt:n},[Ve]:{type:w?"prompt_onnx":"compel",id:Ve,is_intermediate:!0,prompt:r},[we]:{type:"noise",id:we,is_intermediate:!0,width:y?b.width:p,height:y?b.height:m,use_cpu:S},[A.id]:A},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}}]};return y?(T.nodes[qe]={id:qe,type:w?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},T.nodes[me]={id:me,type:"img_resize",is_intermediate:!v,width:p,height:m},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(T.nodes[me]={type:w?"l2i_onnx":"l2i",id:me,is_intermediate:!v,fp32:g},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:me,field:"latents"}})),T.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:y?b.width:p,height:y?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 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this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=qz()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!i0}}class sxe extends zT{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=Vwe(Number.MAX_SAFE_INTEGER,this.socket.binaryType),r=t.readable.pipeThrough(n).getReader(),i=jwe();i.readable.pipeTo(t.writable),this.writer=i.writable.getWriter();const o=()=>{r.read().then(({done:a,value:l})=>{a||(this.onPacket(l),o())}).catch(a=>{})};o();const s={type:"open"};this.query.sid&&(s.data=`{"sid":"${this.query.sid}"}`),this.writer.write(s).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;this.writer.write(r).then(()=>{i&&UT(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const axe={websocket:oxe,webtransport:sxe,polling:rxe},lxe=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,uxe=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function c3(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=lxe.exec(e||""),o={},s=14;for(;s--;)o[uxe[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=cxe(o,o.path),o.queryKey=dxe(o,o.query),o}function cxe(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function dxe(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Xz=class Td extends kr{constructor(t,n={}){super(),this.binaryType=ixe,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=c3(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=c3(n.host).host),OS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=Ywe(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Vz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new axe[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Td.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Td.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Td.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Td.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),this.resetPingTimeout(),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=Kwe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Td.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Xz.protocol=Vz;function fxe(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=c3(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const hxe=typeof ArrayBuffer=="function",pxe=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,Qz=Object.prototype.toString,gxe=typeof Blob=="function"||typeof Blob<"u"&&Qz.call(Blob)==="[object BlobConstructor]",mxe=typeof File=="function"||typeof File<"u"&&Qz.call(File)==="[object FileConstructor]";function jT(e){return hxe&&(e instanceof ArrayBuffer||pxe(e))||gxe&&e instanceof Blob||mxe&&e instanceof File}function j0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(j0(e[n]))return!0;return!1}if(jT(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return j0(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&j0(e[n]))return!0;return!1}function yxe(e){const t=[],n=e.data,r=e;return r.data=d3(n,t),r.attachments=t.length,{packet:r,buffers:t}}function d3(e,t){if(!e)return e;if(jT(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=d3(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=d3(e[r],t));return n}return e}function vxe(e,t){return e.data=f3(e.data,t),delete e.attachments,e}function f3(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=f3(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=f3(e[n],t));return e}const _xe=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],bxe=5;var It;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(It||(It={}));class Sxe{constructor(t){this.replacer=t}encode(t){return(t.type===It.EVENT||t.type===It.ACK)&&j0(t)?this.encodeAsBinary({type:t.type===It.EVENT?It.BINARY_EVENT:It.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===It.BINARY_EVENT||t.type===It.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=yxe(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function $R(e){return Object.prototype.toString.call(e)==="[object Object]"}class VT extends kr{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===It.BINARY_EVENT;r||n.type===It.BINARY_ACK?(n.type=r?It.EVENT:It.ACK,this.reconstructor=new wxe(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(jT(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(It[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===It.BINARY_EVENT||r.type===It.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(VT.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case It.CONNECT:return $R(n);case It.DISCONNECT:return n===void 0;case It.CONNECT_ERROR:return typeof n=="string"||$R(n);case It.EVENT:case It.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&_xe.indexOf(n[0])===-1);case It.ACK:case It.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class wxe{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=vxe(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const xxe=Object.freeze(Object.defineProperty({__proto__:null,Decoder:VT,Encoder:Sxe,get PacketType(){return It},protocol:bxe},Symbol.toStringTag,{value:"Module"}));function _s(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const Cxe=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Yz extends kr{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[_s(t,"open",this.onopen.bind(this)),_s(t,"packet",this.onpacket.bind(this)),_s(t,"error",this.onerror.bind(this)),_s(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(Cxe.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:It.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:It.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case It.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case It.EVENT:case It.BINARY_EVENT:this.onevent(t);break;case It.ACK:case It.BINARY_ACK:this.onack(t);break;case It.DISCONNECT:this.ondisconnect();break;case It.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:It.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:It.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return 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0:t()){this.id=P4e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Qu.totalNodes=Qu.resolvedTargetDeltas=Qu.recalculatedProjection=0,this.nodes.forEach(I4e),this.nodes.forEach($4e),this.nodes.forEach(F4e),this.nodes.forEach(M4e),T4e(Qu)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new C4e)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new S4),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=A4e(s),this.instance=s;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=E4e(f,250),Q0.hasAnimatedSinceResize&&(Q0.hasAnimatedSinceResize=!1,this.nodes.forEach(YO))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||V4e,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),v=!this.targetLayout||!Dj(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(v||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const y={...bj(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(y.delay=0,y.type=!1),this.startAnimation(y)}else f||YO(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,ll(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(B4e),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(QO);return}this.isUpdating||this.nodes.forEach(D4e),this.isUpdating=!1,this.nodes.forEach(L4e),this.nodes.forEach(R4e),this.nodes.forEach(O4e),this.clearAllSnapshots();const a=performance.now();Pi.delta=_u(0,1e3/60,a-Pi.timestamp),Pi.timestamp=a,Pi.isProcessing=!0,Nw.update.process(Pi),Nw.preRender.process(Pi),Nw.render.process(Pi),Pi.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(N4e),this.sharedNodes.forEach(z4e)}scheduleUpdateProjection(){En.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){En.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Er(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Nj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;s&&(a||Xu(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),G4e(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Er();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(Rl(a.x,l.offset.x),Rl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Er();Vo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){Vo(a,s);const{scroll:f}=this.root;f&&(Rl(a.x,-f.offset.x),Rl(a.y,-f.offset.y))}Rl(a.x,c.offset.x),Rl(a.y,c.offset.y)}}return a}applyTransform(s,a=!1){const l=Er();Vo(l,s);for(let u=0;u<this.path.length;u++){const c=this.path[u];!a&&c.options.layoutScroll&&c.scroll&&c!==c.root&&Hd(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),Xu(c.latestValues)&&Hd(l,c.latestValues)}return Xu(this.latestValues)&&Hd(l,this.latestValues),l}removeTransform(s){const a=Er();Vo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Xu(u.latestValues))continue;I3(u.latestValues)&&u.updateSnapshot();const c=Er(),d=u.measurePageBox();Vo(c,d),GO(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return Xu(this.latestValues)&&GO(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Pi.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=Pi.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Er(),this.relativeTargetOrigin=Er(),Ap(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),Vo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Er(),this.targetWithTransforms=Er()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),HTe(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):Vo(this.target,this.layout.layoutBox),Pj(this.target,this.targetDelta)):Vo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Er(),this.relativeTargetOrigin=Er(),Ap(this.relativeTargetOrigin,this.target,h.target),Vo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Qu.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||I3(this.parent.latestValues)||kj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===Pi.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;Vo(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;e4e(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:p}=a;if(!p){this.projectionTransform&&(this.projectionDelta=Gd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Gd(),this.projectionDeltaWithTransform=Gd());const m=this.projectionTransform;Tp(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=WO(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Qu.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=Gd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const f=Er(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,b=this.getStack(),_=!b||b.members.length<=1,v=!!(m&&!_&&this.options.crossfade===!0&&!this.path.some(j4e));this.animationProgress=0;let g;this.mixTargetDelta=y=>{const S=y/1e3;ZO(d.x,s.x,S),ZO(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Ap(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),U4e(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&S4e(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=Er()),Vo(g,this.relativeTarget)),m&&(this.animationValues=c,g4e(c,u,this.latestValues,S,v,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(ll(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=En.update(()=>{Q0.hasAnimatedSinceResize=!0,this.currentAnimation=k4e(0,XO,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(XO),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&$j(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Er();const d=No(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=No(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}Vo(a,l),Hd(a,c),Tp(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new w4e),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c<KO.length;c++){const d="rotate"+KO[c];l[d]&&(u[d]=l[d],s.setStaticValue(d,0))}s.render();for(const c in u)s.setStaticValue(c,u[c]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=X0(s.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=X0(s.pointerEvents)||""),this.hasProjected&&!Xu(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=WO(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(a=f.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in I1){if(f[m]===void 0)continue;const{correct:b,applyTo:_}=I1[m],v=u.transform==="none"?f[m]:b(f[m],d);if(_){const g=_.length;for(let y=0;y<g;y++)u[_[y]]=v}else u[m]=v}return this.options.layoutId&&(u.pointerEvents=d===this?X0(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(QO),this.root.sharedNodes.clear()}}}function R4e(e){e.updateLayout()}function O4e(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=No(f);f.min=r[d].min,f.max=f.min+h}):$j(o,n.layoutBox,r)&&qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=No(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=Gd();Tp(a,r,n.layoutBox);const l=Gd();s?Tp(l,e.applyTransform(i,!0),n.measuredBox):Tp(l,r,n.layoutBox);const u=!Nj(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=Er();Ap(p,n.layoutBox,f.layoutBox);const m=Er();Ap(m,r,h.layoutBox),Dj(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function I4e(e){Qu.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function M4e(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function N4e(e){e.clearSnapshot()}function QO(e){e.clearMeasurements()}function D4e(e){e.isLayoutDirty=!1}function L4e(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function YO(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function $4e(e){e.resolveTargetDelta()}function F4e(e){e.calcProjection()}function B4e(e){e.resetRotation()}function z4e(e){e.removeLeadSnapshot()}function ZO(e,t,n){e.translate=tr(t.translate,0,n),e.scale=tr(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function JO(e,t,n,r){e.min=tr(t.min,n.min,r),e.max=tr(t.max,n.max,r)}function U4e(e,t,n,r){JO(e.x,t.x,n.x,r),JO(e.y,t.y,n.y,r)}function j4e(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const V4e={duration:.45,ease:[.4,0,.1,1]},eI=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),tI=eI("applewebkit/")&&!eI("chrome/")?Math.round:ur;function nI(e){e.min=tI(e.min),e.max=tI(e.max)}function G4e(e){nI(e.x),nI(e.y)}function $j(e,t,n){return e==="position"||e==="preserve-aspect"&&!R3(qO(t),qO(n),.2)}const H4e=Lj({attachResizeListener:(e,t)=>qa(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),Hw={current:void 0},Fj=Lj({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!Hw.current){const e=new H4e({});e.mount(window),e.setOptions({layoutScroll:!0}),Hw.current=e}return Hw.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),q4e={pan:{Feature:l4e},drag:{Feature:a4e,ProjectionNode:Fj,MeasureLayout:Oj}},W4e=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function K4e(e){const t=W4e.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function N3(e,t,n=1){const[r,i]=K4e(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);if(o){const s=o.trim();return Sj(s)?parseFloat(s):s}else return x3(i)?N3(i,t,n+1):i}function X4e(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!x3(o))return;const s=N3(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!x3(o))continue;const 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+            width: ${o}px !important;
+            height: ${s}px !important;
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+            left: ${l}px !important;
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k=m.scrollTop+f.y,L=b===xn.Down&&k<=S.y||b===xn.Up&&k>=w.y;if(L&&!f.x){m.scrollTo({top:k,behavior:a});return}L?h.y=m.scrollTop-k:h.y=b===xn.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,mf(H1(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}fV.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=dV,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function yI(e){return!!(e&&"distance"in e)}function vI(e){return!!(e&&"delay"in e)}class P4{constructor(t,n,r){var i;r===void 0&&(r=zke(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=_h(s),this.documentListeners=new kp(this.document),this.listeners=new kp(r),this.windowListeners=new kp(Ji(s)),this.initialCoordinates=(i=Jg(o))!=null?i:Ds,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(Ho.Resize,this.handleCancel),this.windowListeners.add(Ho.DragStart,mI),this.windowListeners.add(Ho.VisibilityChange,this.handleCancel),this.windowListeners.add(Ho.ContextMenu,mI),this.documentListeners.add(Ho.Keydown,this.handleKeydown),n){if(yI(n))return;if(vI(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(Ho.Click,Uke,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Ho.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=Jg(t))!=null?n:Ds,u=H1(i,l);if(!r&&a){if(vI(a))return Xw(u,a.tolerance)?this.handleCancel():void 0;if(yI(a))return a.tolerance!=null&&Xw(u,a.tolerance)?this.handleCancel():Xw(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===xn.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const Vke={move:{name:"pointermove"},end:{name:"pointerup"}};class hV extends P4{constructor(t){const{event:n}=t,r=_h(n.target);super(t,Vke,r)}}hV.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const Gke={move:{name:"mousemove"},end:{name:"mouseup"}};var G3;(function(e){e[e.RightClick=2]="RightClick"})(G3||(G3={}));class pV extends P4{constructor(t){super(t,Gke,_h(t.event.target))}}pV.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===G3.RightClick?!1:(r==null||r({event:n}),!0)}}];const Qw={move:{name:"touchmove"},end:{name:"touchend"}};class gV extends P4{constructor(t){super(t,Qw)}static setup(){return window.addEventListener(Qw.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(Qw.move.name,t)};function t(){}}}gV.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Pp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Pp||(Pp={}));var W1;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(W1||(W1={}));function Hke(e){let{acceleration:t,activator:n=Pp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=W1.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=Wke({delta:d,disabled:!o}),[p,m]=tke(),b=M.useRef({x:0,y:0}),_=M.useRef({x:0,y:0}),v=M.useMemo(()=>{switch(n){case Pp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Pp.DraggableRect:return i}},[n,i,l]),g=M.useRef(null),y=M.useCallback(()=>{const w=g.current;if(!w)return;const x=b.current.x*_.current.x,E=b.current.y*_.current.y;w.scrollBy(x,E)},[]),S=M.useMemo(()=>a===W1.TreeOrder?[...u].reverse():u,[a,u]);M.useEffect(()=>{if(!o||!u.length||!v){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),E=c[x];if(!E)continue;const{direction:A,speed:T}=Dke(w,E,v,t,f);for(const k of["x","y"])h[k][A[k]]||(T[k]=0,A[k]=0);if(T.x>0||T.y>0){m(),g.current=w,p(y,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,y,r,m,o,s,JSON.stringify(v),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const qke={x:{[Jr.Backward]:!1,[Jr.Forward]:!1},y:{[Jr.Backward]:!1,[Jr.Forward]:!1}};function Wke(e){let{delta:t,disabled:n}=e;const r=G1(t);return Xm(i=>{if(n||!r||!i)return qke;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[Jr.Backward]:i.x[Jr.Backward]||o.x===-1,[Jr.Forward]:i.x[Jr.Forward]||o.x===1},y:{[Jr.Backward]:i.y[Jr.Backward]||o.y===-1,[Jr.Forward]:i.y[Jr.Forward]||o.y===1}}},[n,t,r])}function Kke(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Xm(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function Xke(e,t){return M.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var tm;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(tm||(tm={}));var H3;(function(e){e.Optimized="optimized"})(H3||(H3={}));const _I=new Map;function Qke(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=M.useState(null),{frequency:a,measure:l,strategy:u}=i,c=M.useRef(e),d=b(),f=Zg(d),h=M.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(v=>v===null?_:v.concat(_.filter(g=>!v.includes(g))))},[f]),p=M.useRef(null),m=Xm(_=>{if(d&&!n)return _I;if(!_||_===_I||c.current!==e||o!=null){const v=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){v.set(g.id,g.rect.current);continue}const y=g.node.current,S=y?new k4(l(y),y):null;g.rect.current=S,S&&v.set(g.id,S)}return v}return _},[e,o,n,d,l]);return M.useEffect(()=>{c.current=e},[e]),M.useEffect(()=>{d||h()},[n,d]),M.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),M.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case tm.Always:return!1;case tm.BeforeDragging:return n;default:return!n}}}function R4(e,t){return Xm(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function Yke(e,t){return R4(e,t)}function Zke(e){let{callback:t,disabled:n}=e;const r=HS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function WS(e){let{callback:t,disabled:n}=e;const r=HS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function Jke(e){return new k4(Qm(e),e)}function bI(e,t,n){t===void 0&&(t=Jke);const[r,i]=M.useReducer(a,null),o=Zke({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=WS({callback:i});return va(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function ePe(e){const t=R4(e);return nV(e,t)}const SI=[];function tPe(e){const t=M.useRef(e),n=Xm(r=>e?r&&r!==SI&&e&&t.current&&e.parentNode===t.current.parentNode?r:A4(e):SI,[e]);return M.useEffect(()=>{t.current=e},[e]),n}function nPe(e){const[t,n]=M.useState(null),r=M.useRef(e),i=M.useCallback(o=>{const s=Kw(o.target);s&&n(a=>a?(a.set(s,V3(s)),new Map(a)):null)},[]);return M.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=Kw(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,V3(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=Kw(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),M.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>mf(o,s),Ds):uV(e):Ds,[e,t])}function wI(e,t){t===void 0&&(t=[]);const n=M.useRef(null);return M.useEffect(()=>{n.current=null},t),M.useEffect(()=>{const r=e!==Ds;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?H1(e,n.current):Ds}function rPe(e){M.useEffect(()=>{if(!GS)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function iPe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function mV(e){return M.useMemo(()=>e?Oke(e):null,[e])}const Yw=[];function oPe(e,t){t===void 0&&(t=Qm);const[n]=e,r=mV(n?Ji(n):null),[i,o]=M.useReducer(a,Yw),s=WS({callback:o});return e.length>0&&i===Yw&&o(),va(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>aV(l)?r:new k4(t(l),l)):Yw}}function yV(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Km(t)?t:e}function sPe(e){let{measure:t}=e;const[n,r]=M.useState(null),i=M.useCallback(u=>{for(const{target:c}of u)if(Km(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=WS({callback:i}),s=M.useCallback(u=>{const c=yV(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=V1(s);return M.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const aPe=[{sensor:hV,options:{}},{sensor:fV,options:{}}],lPe={current:{}},Y0={draggable:{measure:gI},droppable:{measure:gI,strategy:tm.WhileDragging,frequency:H3.Optimized},dragOverlay:{measure:Qm}};class Rp extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const uPe={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Rp,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:q1},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Y0,measureDroppableContainers:q1,windowRect:null,measuringScheduled:!1},vV={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:q1,draggableNodes:new Map,over:null,measureDroppableContainers:q1},Ym=M.createContext(vV),_V=M.createContext(uPe);function cPe(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new Rp}}}function dPe(e,t){switch(t.type){case Lr.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case Lr.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case Lr.DragEnd:case Lr.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case Lr.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new Rp(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case Lr.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const s=new Rp(e.droppable.containers);return s.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:s}}}case Lr.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new Rp(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function fPe(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=M.useContext(Ym),o=G1(r),s=G1(n==null?void 0:n.id);return M.useEffect(()=>{if(!t&&!r&&o&&s!=null){if(!T4(o)||document.activeElement===o.target)return;const a=i.get(s);if(!a)return;const{activatorNode:l,node:u}=a;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=ike(c);if(d){d.focus();break}}})}},[r,t,i,s,o]),null}function bV(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function hPe(e){return M.useMemo(()=>({draggable:{...Y0.draggable,...e==null?void 0:e.draggable},droppable:{...Y0.droppable,...e==null?void 0:e.droppable},dragOverlay:{...Y0.dragOverlay,...e==null?void 0:e.dragOverlay}}),[e==null?void 0:e.draggable,e==null?void 0:e.droppable,e==null?void 0:e.dragOverlay])}function pPe(e){let{activeNode:t,measure:n,initialRect:r,config:i=!0}=e;const o=M.useRef(!1),{x:s,y:a}=typeof i=="boolean"?{x:i,y:i}:i;va(()=>{if(!s&&!a||!t){o.current=!1;return}if(o.current||!r)return;const u=t==null?void 0:t.node.current;if(!u||u.isConnected===!1)return;const c=n(u),d=nV(c,r);if(s||(d.x=0),a||(d.y=0),o.current=!0,Math.abs(d.x)>0||Math.abs(d.y)>0){const f=iV(u);f&&f.scrollBy({top:d.y,left:d.x})}},[t,s,a,r,n])}const KS=M.createContext({...Ds,scaleX:1,scaleY:1});var Ol;(function(e){e[e.Uninitialized=0]="Uninitialized",e[e.Initializing=1]="Initializing",e[e.Initialized=2]="Initialized"})(Ol||(Ol={}));const gPe=M.memo(function(t){var n,r,i,o;let{id:s,accessibility:a,autoScroll:l=!0,children:u,sensors:c=aPe,collisionDetection:d=xke,measuring:f,modifiers:h,...p}=t;const m=M.useReducer(dPe,void 0,cPe),[b,_]=m,[v,g]=dke(),[y,S]=M.useState(Ol.Uninitialized),w=y===Ol.Initialized,{draggable:{active:x,nodes:E,translate:A},droppable:{containers:T}}=b,k=x?E.get(x):null,L=M.useRef({initial:null,translated:null}),N=M.useMemo(()=>{var Pn;return x!=null?{id:x,data:(Pn=k==null?void 0:k.data)!=null?Pn:lPe,rect:L}:null},[x,k]),C=M.useRef(null),[P,D]=M.useState(null),[B,R]=M.useState(null),O=Zg(p,Object.values(p)),I=qS("DndDescribedBy",s),F=M.useMemo(()=>T.getEnabled(),[T]),U=hPe(f),{droppableRects:V,measureDroppableContainers:H,measuringScheduled:Y}=Qke(F,{dragging:w,dependencies:[A.x,A.y],config:U.droppable}),Q=Kke(E,x),j=M.useMemo(()=>B?Jg(B):null,[B]),K=Ea(),ee=Yke(Q,U.draggable.measure);pPe({activeNode:x?E.get(x):null,config:K.layoutShiftCompensation,initialRect:ee,measure:U.draggable.measure});const ie=bI(Q,U.draggable.measure,ee),ge=bI(Q?Q.parentElement:null),ae=M.useRef({activatorEvent:null,active:null,activeNode:Q,collisionRect:null,collisions:null,droppableRects:V,draggableNodes:E,draggingNode:null,draggingNodeRect:null,droppableContainers:T,over:null,scrollableAncestors:[],scrollAdjustedTranslate:null}),dt=T.getNodeFor((n=ae.current.over)==null?void 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new file mode 100644
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diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index 42b2bcdd8c..e8e2b5614b 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-08cda350.js"></script>
+    <script type="module" crossorigin src="./assets/index-221b61a5.js"></script>
   </head>
 
   <body dir="ltr">
diff --git a/invokeai/frontend/web/dist/locales/en.json b/invokeai/frontend/web/dist/locales/en.json
index 32144749bd..125554fc40 100644
--- a/invokeai/frontend/web/dist/locales/en.json
+++ b/invokeai/frontend/web/dist/locales/en.json
@@ -511,6 +511,7 @@
         "maskBlur": "Blur",
         "maskBlurMethod": "Blur Method",
         "coherencePassHeader": "Coherence Pass",
+        "coherenceMode": "Mode",
         "coherenceSteps": "Steps",
         "coherenceStrength": "Strength",
         "seamLowThreshold": "Low",
@@ -520,6 +521,7 @@
         "scaledHeight": "Scaled H",
         "infillMethod": "Infill Method",
         "tileSize": "Tile Size",
+        "patchmatchDownScaleSize": "Downscale",
         "boundingBoxHeader": "Bounding Box",
         "seamCorrectionHeader": "Seam Correction",
         "infillScalingHeader": "Infill and Scaling",

From cdbf40c9b2b134b731db5dac95f289e3231443b5 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 6 Sep 2023 19:30:30 -0400
Subject: [PATCH 038/265] Revert ControlNetInvocation changes.

---
 invokeai/app/invocations/control_adapter.py   | 104 ------------------
 .../controlnet_image_processors.py            |  99 ++++++++++++++++-
 invokeai/app/invocations/latent.py            |   2 +-
 invokeai/app/invocations/metadata.py          |   2 +-
 invokeai/app/invocations/onnx.py              |  26 +++--
 5 files changed, 118 insertions(+), 115 deletions(-)
 delete mode 100644 invokeai/app/invocations/control_adapter.py

diff --git a/invokeai/app/invocations/control_adapter.py b/invokeai/app/invocations/control_adapter.py
deleted file mode 100644
index 31fd788af2..0000000000
--- a/invokeai/app/invocations/control_adapter.py
+++ /dev/null
@@ -1,104 +0,0 @@
-from builtins import float
-from typing import List, Literal, Optional, Union
-
-from pydantic import BaseModel, Field, root_validator, validator
-
-from invokeai.app.invocations.primitives import ImageField
-
-from ...backend.model_management import BaseModelType
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    FieldDescriptions,
-    Input,
-    InputField,
-    InvocationContext,
-    OutputField,
-    UIType,
-    invocation,
-    invocation_output,
-)
-
-CONTROLNET_MODE_VALUES = Literal["balanced", "more_prompt", "more_control", "unbalanced"]
-CONTROLNET_RESIZE_VALUES = Literal[
-    "just_resize",
-    "crop_resize",
-    "fill_resize",
-    "just_resize_simple",
-]
-
-
-class ControlNetModelField(BaseModel):
-    """ControlNet model field"""
-
-    model_name: str = Field(description="Name of the ControlNet model")
-    base_model: BaseModelType = Field(description="Base model")
-
-
-class ControlField(BaseModel):
-    image: ImageField = Field(description="The control image")
-    control_model: ControlNetModelField = Field(description="The ControlNet model to use")
-    control_weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet")
-    begin_step_percent: float = Field(
-        default=0, ge=0, le=1, description="When the ControlNet is first applied (% of total steps)"
-    )
-    end_step_percent: float = Field(
-        default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
-    )
-    control_mode: CONTROLNET_MODE_VALUES = Field(default="balanced", description="The control mode to use")
-    resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode to use")
-
-    @validator("control_weight")
-    def validate_control_weight(cls, v):
-        """Validate that all control weights in the valid range"""
-        if isinstance(v, list):
-            for i in v:
-                if i < -1 or i > 2:
-                    raise ValueError("Control weights must be within -1 to 2 range")
-        else:
-            if v < -1 or v > 2:
-                raise ValueError("Control weights must be within -1 to 2 range")
-        return v
-
-
-@invocation_output("control_output")
-class ControlOutput(BaseInvocationOutput):
-    """node output for ControlNet info"""
-
-    # Outputs
-    control: ControlField = OutputField(description=FieldDescriptions.control)
-
-
-@invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet", version="1.0.0")
-class ControlNetInvocation(BaseInvocation):
-    """Collects ControlNet info to pass to other nodes"""
-
-    # Inputs
-    image: ImageField = InputField(description="The control image")
-    control_model: ControlNetModelField = InputField(
-        default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
-    )
-    control_weight: Union[float, List[float]] = InputField(
-        default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
-    )
-    begin_step_percent: float = InputField(
-        default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
-    )
-    end_step_percent: float = InputField(
-        default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
-    )
-    control_mode: CONTROLNET_MODE_VALUES = InputField(default="balanced", description="The control mode used")
-    resize_mode: CONTROLNET_RESIZE_VALUES = InputField(default="just_resize", description="The resize mode used")
-
-    def invoke(self, context: InvocationContext) -> ControlOutput:
-        return ControlOutput(
-            control=ControlField(
-                image=self.image,
-                control_model=self.control_model,
-                control_weight=self.control_weight,
-                begin_step_percent=self.begin_step_percent,
-                end_step_percent=self.end_step_percent,
-                control_mode=self.control_mode,
-                resize_mode=self.resize_mode,
-            ),
-        )
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index cca05c5700..7f81c0bc7e 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -1,7 +1,8 @@
 # Invocations for ControlNet image preprocessors
+# initial implementation by Gregg Helt, 2023
 # heavily leverages controlnet_aux package: https://github.com/patrickvonplaten/controlnet_aux
 from builtins import bool, float
-from typing import Dict, List, Optional
+from typing import Dict, List, Literal, Optional, Union
 
 import cv2
 import numpy as np
@@ -23,11 +24,105 @@ from controlnet_aux import (
 )
 from controlnet_aux.util import HWC3, ade_palette
 from PIL import Image
+from pydantic import BaseModel, Field, validator
 
 from invokeai.app.invocations.primitives import ImageField, ImageOutput
 
+from ...backend.model_management import BaseModelType
 from ..models.image import ImageCategory, ResourceOrigin
-from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, invocation
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    FieldDescriptions,
+    Input,
+    InputField,
+    InvocationContext,
+    OutputField,
+    UIType,
+    invocation,
+    invocation_output,
+)
+
+CONTROLNET_MODE_VALUES = Literal["balanced", "more_prompt", "more_control", "unbalanced"]
+CONTROLNET_RESIZE_VALUES = Literal[
+    "just_resize",
+    "crop_resize",
+    "fill_resize",
+    "just_resize_simple",
+]
+
+
+class ControlNetModelField(BaseModel):
+    """ControlNet model field"""
+
+    model_name: str = Field(description="Name of the ControlNet model")
+    base_model: BaseModelType = Field(description="Base model")
+
+
+class ControlField(BaseModel):
+    image: ImageField = Field(description="The control image")
+    control_model: ControlNetModelField = Field(description="The ControlNet model to use")
+    control_weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet")
+    begin_step_percent: float = Field(
+        default=0, ge=0, le=1, description="When the ControlNet is first applied (% of total steps)"
+    )
+    end_step_percent: float = Field(
+        default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
+    )
+    control_mode: CONTROLNET_MODE_VALUES = Field(default="balanced", description="The control mode to use")
+    resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode to use")
+
+    @validator("control_weight")
+    def validate_control_weight(cls, v):
+        """Validate that all control weights in the valid range"""
+        if isinstance(v, list):
+            for i in v:
+                if i < -1 or i > 2:
+                    raise ValueError("Control weights must be within -1 to 2 range")
+        else:
+            if v < -1 or v > 2:
+                raise ValueError("Control weights must be within -1 to 2 range")
+        return v
+
+
+@invocation_output("control_output")
+class ControlOutput(BaseInvocationOutput):
+    """node output for ControlNet info"""
+
+    # Outputs
+    control: ControlField = OutputField(description=FieldDescriptions.control)
+
+
+@invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet", version="1.0.0")
+class ControlNetInvocation(BaseInvocation):
+    """Collects ControlNet info to pass to other nodes"""
+
+    image: ImageField = InputField(description="The control image")
+    control_model: ControlNetModelField = InputField(description=FieldDescriptions.controlnet_model, input=Input.Direct)
+    control_weight: Union[float, List[float]] = InputField(
+        default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
+    )
+    begin_step_percent: float = InputField(
+        default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
+    )
+    end_step_percent: float = InputField(
+        default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
+    )
+    control_mode: CONTROLNET_MODE_VALUES = InputField(default="balanced", description="The control mode used")
+    resize_mode: CONTROLNET_RESIZE_VALUES = InputField(default="just_resize", description="The resize mode used")
+
+    def invoke(self, context: InvocationContext) -> ControlOutput:
+        return ControlOutput(
+            control=ControlField(
+                image=self.image,
+                control_model=self.control_model,
+                control_weight=self.control_weight,
+                begin_step_percent=self.begin_step_percent,
+                end_step_percent=self.end_step_percent,
+                control_mode=self.control_mode,
+                resize_mode=self.resize_mode,
+            ),
+        )
 
 
 @invocation(
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index aa52253562..ece6706680 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -64,7 +64,7 @@ from .baseinvocation import (
     invocation_output,
 )
 from .compel import ConditioningField
-from .control_adapter import ControlField
+from .controlnet_image_processors import ControlField
 from .model import ModelInfo, UNetField, VaeField
 
 DEFAULT_PRECISION = choose_precision(choose_torch_device())
diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index 5338b0f40c..39fa3beba0 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -11,7 +11,7 @@ from invokeai.app.invocations.baseinvocation import (
     invocation,
     invocation_output,
 )
-from invokeai.app.invocations.control_adapter import ControlField
+from invokeai.app.invocations.controlnet_image_processors import ControlField
 from invokeai.app.invocations.model import LoRAModelField, MainModelField, VAEModelField
 from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
 
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index 999fb119dc..c73221f8a0 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -13,7 +13,12 @@ from pydantic import BaseModel, Field, validator
 from tqdm import tqdm
 
 from invokeai.app.invocations.metadata import CoreMetadata
-from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput, ImageField, ImageOutput
+from invokeai.app.invocations.primitives import (
+    ConditioningField,
+    ConditioningOutput,
+    ImageField,
+    ImageOutput,
+)
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend import BaseModelType, ModelType, SubModelType
 
@@ -25,8 +30,8 @@ from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
     FieldDescriptions,
-    InputField,
     Input,
+    InputField,
     InvocationContext,
     OutputField,
     UIComponent,
@@ -34,8 +39,14 @@ from .baseinvocation import (
     invocation,
     invocation_output,
 )
-from .control_adapter import ControlField
-from .latent import SAMPLER_NAME_VALUES, LatentsField, LatentsOutput, build_latents_output, get_scheduler
+from .controlnet_image_processors import ControlField
+from .latent import (
+    SAMPLER_NAME_VALUES,
+    LatentsField,
+    LatentsOutput,
+    build_latents_output,
+    get_scheduler,
+)
 from .model import ClipField, ModelInfo, UNetField, VaeField
 
 ORT_TO_NP_TYPE = {
@@ -95,9 +106,10 @@ class ONNXPromptInvocation(BaseInvocation):
                     print(f'Warn: trigger: "{trigger}" not found')
             if loras or ti_list:
                 text_encoder.release_session()
-            with ONNXModelPatcher.apply_lora_text_encoder(text_encoder, loras), ONNXModelPatcher.apply_ti(
-                orig_tokenizer, text_encoder, ti_list
-            ) as (tokenizer, ti_manager):
+            with (
+                ONNXModelPatcher.apply_lora_text_encoder(text_encoder, loras),
+                ONNXModelPatcher.apply_ti(orig_tokenizer, text_encoder, ti_list) as (tokenizer, ti_manager),
+            ):
                 text_encoder.create_session()
 
                 # copy from

From 23fdf0156f9e0c95d73ae0fc7ee935f7586ba9bc Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 6 Sep 2023 20:42:20 -0400
Subject: [PATCH 039/265] Clean up IP-Adapter in diffusers_pipeline.py - WIP

---
 .../stable_diffusion/diffusers_pipeline.py    | 28 ++++++-------------
 1 file changed, 9 insertions(+), 19 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index cf0dc7f571..53f152eacf 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -465,12 +465,10 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             #   Should reimplement to use existing model management context etc.
             #
             if "sdxl" in ip_adapter_data.ip_adapter_model:
-                print("using IPAdapterXL")
                 ip_adapter = IPAdapterXL(
                     self, ip_adapter_data.image_encoder_model, ip_adapter_data.ip_adapter_model, self.unet.device
                 )
             elif "plus" in ip_adapter_data.ip_adapter_model:
-                print("using IPAdapterPlus")
                 ip_adapter = IPAdapterPlus(
                     self,  # IPAdapterPlus first arg is StableDiffusionPipeline
                     ip_adapter_data.image_encoder_model,
@@ -479,33 +477,25 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                     num_tokens=16,
                 )
             else:
-                print("using IPAdapter")
                 ip_adapter = IPAdapter(
                     self,  # IPAdapter first arg is StableDiffusionPipeline
                     ip_adapter_data.image_encoder_model,
                     ip_adapter_data.ip_adapter_model,
                     self.unet.device,
                 )
-            # IP-Adapter ==> add additional cross-attention layers to UNet model here?
             ip_adapter.set_scale(ip_adapter_data.weight)
-            print("ip_adapter:", ip_adapter)
 
-            # get image embedding from CLIP and ImageProjModel
-            print("getting image embeddings from IP-Adapter...")
-            num_samples = 1  # hardwiring for first pass
+            # Get image embeddings from CLIP and ImageProjModel.
             image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter.get_image_embeds(ip_adapter_data.image)
-            print("image cond   embeds shape:", image_prompt_embeds.shape)
-            print("image uncond embeds shape:", uncond_image_prompt_embeds.shape)
-            bs_embed, seq_len, _ = image_prompt_embeds.shape
-            image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
-            image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
-            uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
-            uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
-            print("image cond   embeds shape:", image_prompt_embeds.shape)
-            print("image uncond embeds shape:", uncond_image_prompt_embeds.shape)
 
-            # IP-Adapter: run IP-Adapter model here?
-            # and add output as additional cross-attention layers
+            # The following commented block is kept for reference on how to repeat/reshape the image embeddings to
+            # generate a batch of multiple images:
+            # bs_embed, seq_len, _ = image_prompt_embeds.shape
+            # image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
+            # image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+            # uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
+            # uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+
             text_prompt_embeds = conditioning_data.text_embeddings.embeds
             uncond_text_prompt_embeds = conditioning_data.unconditioned_embeddings.embeds
             print("text embeds shape:", text_prompt_embeds.shape)

From 7703bf2ca193f1d7c289f5624c2bea226f374a05 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 7 Sep 2023 14:10:42 -0400
Subject: [PATCH 040/265] Delete IP-Adapter copies of AttnProcessor and
 AttnProcessor2_0, which were unmodified from diffusers.

---
 .../backend/ip_adapter/attention_processor.py | 172 ++----------------
 invokeai/backend/ip_adapter/ip_adapter.py     |   5 +-
 2 files changed, 17 insertions(+), 160 deletions(-)

diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
index c3fd1b8bb1..60aaeec7b0 100644
--- a/invokeai/backend/ip_adapter/attention_processor.py
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -6,79 +6,24 @@
 import torch
 import torch.nn as nn
 import torch.nn.functional as F
+from diffusers.models.attention_processor import AttnProcessor as DiffusersAttnProcessor
+from diffusers.models.attention_processor import (
+    AttnProcessor2_0 as DiffusersAttnProcessor2_0,
+)
 
 
-class AttnProcessor(nn.Module):
-    r"""
-    Default processor for performing attention-related computations.
-    """
+# Create versions of AttnProcessor and AttnProcessor2_0 that are sub-classes of nn.Module. This is required for
+# IP-Adapter state_dict loading.
+class AttnProcessor(DiffusersAttnProcessor, nn.Module):
+    def __init__(self):
+        DiffusersAttnProcessor.__init__(self)
+        nn.Module.__init__(self)
 
-    def __init__(
-        self,
-        hidden_size=None,
-        cross_attention_dim=None,
-    ):
-        super().__init__()
 
-    def __call__(
-        self,
-        attn,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-    ):
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        query = attn.head_to_batch_dim(query)
-        key = attn.head_to_batch_dim(key)
-        value = attn.head_to_batch_dim(value)
-
-        attention_probs = attn.get_attention_scores(query, key, attention_mask)
-        hidden_states = torch.bmm(attention_probs, value)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-
-        return hidden_states
+class AttnProcessor2_0(DiffusersAttnProcessor2_0, nn.Module):
+    def __init__(self):
+        DiffusersAttnProcessor2_0.__init__(self)
+        nn.Module.__init__(self)
 
 
 class IPAttnProcessor(nn.Module):
@@ -186,95 +131,6 @@ class IPAttnProcessor(nn.Module):
         return hidden_states
 
 
-class AttnProcessor2_0(torch.nn.Module):
-    r"""
-    Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0).
-    """
-
-    def __init__(
-        self,
-        hidden_size=None,
-        cross_attention_dim=None,
-    ):
-        super().__init__()
-        if not hasattr(F, "scaled_dot_product_attention"):
-            raise ImportError("AttnProcessor2_0 requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0.")
-
-    def __call__(
-        self,
-        attn,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-    ):
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-
-        if attention_mask is not None:
-            attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-            # scaled_dot_product_attention expects attention_mask shape to be
-            # (batch, heads, source_length, target_length)
-            attention_mask = attention_mask.view(batch_size, attn.heads, -1, attention_mask.shape[-1])
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        inner_dim = key.shape[-1]
-        head_dim = inner_dim // attn.heads
-
-        query = query.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
-
-        key = key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
-        value = value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
-
-        # the output of sdp = (batch, num_heads, seq_len, head_dim)
-        # TODO: add support for attn.scale when we move to Torch 2.1
-        hidden_states = F.scaled_dot_product_attention(
-            query, key, value, attn_mask=attention_mask, dropout_p=0.0, is_causal=False
-        )
-
-        hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
-        hidden_states = hidden_states.to(query.dtype)
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-
-        return hidden_states
-
-
 class IPAttnProcessor2_0(torch.nn.Module):
     r"""
     Attention processor for IP-Adapater for PyTorch 2.0.
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index b8f55fb59c..8261338058 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -4,8 +4,6 @@
 from typing import List
 
 import torch
-from PIL import Image
-from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
 # FIXME: Getting errors when trying to use PyTorch 2.0 versions of IPAttnProcessor and AttnProcessor
 #   so for now falling back to the default versions
@@ -14,6 +12,9 @@ from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 #     from .attention_processor import IPAttnProcessor2_0 as IPAttnProcessor, AttnProcessor2_0 as AttnProcessor
 # else:
 #     from .attention_processor import IPAttnProcessor, AttnProcessor
+from PIL import Image
+from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
+
 from .attention_processor import AttnProcessor, IPAttnProcessor
 from .resampler import Resampler
 

From a79d5901c7dd05ef15b65914503660148ff58b9d Mon Sep 17 00:00:00 2001
From: Sam <sammcj@users.noreply.github.com>
Date: Fri, 8 Sep 2023 07:47:55 +1000
Subject: [PATCH 041/265] Correct spelling and grammar in feature request
 template

Minor corrections to spell and grammar in the feature request template
---
 .github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml b/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml
index 6fb80be593..c7e7f4bc87 100644
--- a/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml
+++ b/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml
@@ -1,5 +1,5 @@
 name: Feature Request
-description: Commit a idea or Request a new feature
+description: Contribute a idea or request a new feature
 title: '[enhancement]: '
 labels: ['enhancement']
 # assignees:
@@ -9,14 +9,14 @@ body:
   - type: markdown
     attributes:
       value: |
-        Thanks for taking the time to fill out this Feature request!
+        Thanks for taking the time to fill out this feature request!
 
   - type: checkboxes
     attributes:
       label: Is there an existing issue for this?
       description: |
         Please make use of the [search function](https://github.com/invoke-ai/InvokeAI/labels/enhancement)
-        to see if a simmilar issue already exists for the feature you want to request
+        to see if a similar issue already exists for the feature you want to request
       options:
         - label: I have searched the existing issues
           required: true
@@ -36,7 +36,7 @@ body:
       label: What should this feature add?
       description: Please try to explain the functionality this feature should add
       placeholder: |
-        Instead of one huge textfield, it would be nice to have forms for bug-reports, feature-requests, ...
+        Instead of one huge text field, it would be nice to have forms for bug-reports, feature-requests, ...
         Great benefits with automatic labeling, assigning and other functionalitys not available in that form
         via old-fashioned markdown-templates. I would also love to see the use of a moderator bot 🤖 like
         https://github.com/marketplace/actions/issue-moderator-with-commands to auto close old issues and other things
@@ -51,6 +51,6 @@ body:
 
   - type: textarea
     attributes:
-      label: Aditional Content
+      label: Additional Content
       description: Add any other context or screenshots about the feature request here.
-      placeholder: This is a Mockup of the design how I imagine it <screenshot>
+      placeholder: This is a mockup of the design how I imagine it <screenshot>

From c2d43f007b00a45893937463eb94184cc507e0f9 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 7 Sep 2023 18:20:21 -0400
Subject: [PATCH 042/265] Specify the image_embedding_len in the
 IPAttnProcessor rather than the text embedding length. This enables the
 IPAttnProcessor to handle text embeddings of varying lengths.

---
 .../backend/ip_adapter/attention_processor.py | 28 ++++++++++---------
 invokeai/backend/ip_adapter/ip_adapter.py     |  5 +++-
 2 files changed, 19 insertions(+), 14 deletions(-)

diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
index 60aaeec7b0..99d9edc5dd 100644
--- a/invokeai/backend/ip_adapter/attention_processor.py
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -32,20 +32,21 @@ class IPAttnProcessor(nn.Module):
     Args:
         hidden_size (`int`):
             The hidden size of the attention layer.
+        image_embedding_len (`int`):
+            The length of the IP-Adapter image embedding. It is assumed that the last `image_embedding_len` 'tokens' of
+            the `encoder_hidden_states` are the IP-Adapter image embeddings.
         cross_attention_dim (`int`):
             The number of channels in the `encoder_hidden_states`.
-        text_context_len (`int`, defaults to 77):
-            The context length of the text features.
         scale (`float`, defaults to 1.0):
             the weight scale of image prompt.
     """
 
-    def __init__(self, hidden_size, cross_attention_dim=None, text_context_len=77, scale=1.0):
+    def __init__(self, hidden_size, image_embedding_len, cross_attention_dim=None, scale=1.0):
         super().__init__()
 
         self.hidden_size = hidden_size
         self.cross_attention_dim = cross_attention_dim
-        self.text_context_len = text_context_len
+        self.image_embedding_len = image_embedding_len
         self.scale = scale
 
         self.to_k_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
@@ -85,10 +86,10 @@ class IPAttnProcessor(nn.Module):
         elif attn.norm_cross:
             encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
 
-        # split hidden states
+        # Split text encoder hidden states and image encoder hidden state.
         encoder_hidden_states, ip_hidden_states = (
-            encoder_hidden_states[:, : self.text_context_len, :],
-            encoder_hidden_states[:, self.text_context_len :, :],
+            encoder_hidden_states[:, : -self.image_embedding_len, :],
+            encoder_hidden_states[:, -self.image_embedding_len :, :],
         )
 
         key = attn.to_k(encoder_hidden_states)
@@ -137,15 +138,16 @@ class IPAttnProcessor2_0(torch.nn.Module):
     Args:
         hidden_size (`int`):
             The hidden size of the attention layer.
+        image_embedding_len (`int`):
+            The length of the IP-Adapter image embedding. It is assumed that the last `image_embedding_len` 'tokens' of
+            the `encoder_hidden_states` are the IP-Adapter image embeddings.
         cross_attention_dim (`int`):
             The number of channels in the `encoder_hidden_states`.
-        text_context_len (`int`, defaults to 77):
-            The context length of the text features.
         scale (`float`, defaults to 1.0):
             the weight scale of image prompt.
     """
 
-    def __init__(self, hidden_size, cross_attention_dim=None, text_context_len=77, scale=1.0):
+    def __init__(self, hidden_size, image_embedding_len, cross_attention_dim=None, scale=1.0):
         super().__init__()
 
         if not hasattr(F, "scaled_dot_product_attention"):
@@ -198,10 +200,10 @@ class IPAttnProcessor2_0(torch.nn.Module):
         elif attn.norm_cross:
             encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
 
-        # split hidden states
+        # Split text encoder hidden states and image encoder hidden state.
         encoder_hidden_states, ip_hidden_states = (
-            encoder_hidden_states[:, : self.text_context_len, :],
-            encoder_hidden_states[:, self.text_context_len :, :],
+            encoder_hidden_states[:, : -self.image_embedding_len, :],
+            encoder_hidden_states[:, -self.image_embedding_len :, :],
         )
 
         key = attn.to_k(encoder_hidden_states)
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 8261338058..a9fcc25539 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -91,7 +91,10 @@ class IPAdapter:
             else:
                 print("swapping in IPAttnProcessor for", name)
                 attn_procs[name] = IPAttnProcessor(
-                    hidden_size=hidden_size, cross_attention_dim=cross_attention_dim, scale=1.0
+                    hidden_size=hidden_size,
+                    image_embedding_len=self.num_tokens,
+                    cross_attention_dim=cross_attention_dim,
+                    scale=1.0,
                 ).to(self.device, dtype=torch.float16)
         unet.set_attn_processor(attn_procs)
         print("Modified UNet Attn Processors count:", len(unet.attn_processors))

From e4035a51afdda3835b6ff5f6bb31d2b6a54fcad6 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 8 Sep 2023 11:55:10 +1000
Subject: [PATCH 043/265] fix(ui): add missing config property

---
 invokeai/frontend/web/src/features/system/store/configSlice.ts | 1 +
 1 file changed, 1 insertion(+)

diff --git a/invokeai/frontend/web/src/features/system/store/configSlice.ts b/invokeai/frontend/web/src/features/system/store/configSlice.ts
index 9bdc16ce77..8ad0ee33e4 100644
--- a/invokeai/frontend/web/src/features/system/store/configSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/configSlice.ts
@@ -5,6 +5,7 @@ import { merge } from 'lodash-es';
 
 export const initialConfigState: AppConfig = {
   shouldUpdateImagesOnConnect: false,
+  shouldFetchMetadataFromApi: false,
   disabledTabs: [],
   disabledFeatures: ['lightbox', 'faceRestore', 'batches'],
   disabledSDFeatures: [

From 56399a650a4166083a266fce8314d64965d4af55 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 8 Sep 2023 11:55:25 +1000
Subject: [PATCH 044/265] fix(ui): use zod to parse metdata when fetching from
 api

---
 .../web/src/services/api/endpoints/images.ts  | 24 ++++++++++++-------
 1 file changed, 16 insertions(+), 8 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index 18adf4f12a..4f4e3e1391 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -1,4 +1,5 @@
 import { EntityState, Update } from '@reduxjs/toolkit';
+import { fetchBaseQuery } from '@reduxjs/toolkit/dist/query';
 import { PatchCollection } from '@reduxjs/toolkit/dist/query/core/buildThunks';
 import {
   ASSETS_CATEGORIES,
@@ -6,9 +7,14 @@ import {
   IMAGE_CATEGORIES,
   IMAGE_LIMIT,
 } from 'features/gallery/store/types';
+import {
+  ImageMetadataAndWorkflow,
+  zCoreMetadata,
+} from 'features/nodes/types/types';
 import { getMetadataAndWorkflowFromImageBlob } from 'features/nodes/util/getMetadataAndWorkflowFromImageBlob';
 import { keyBy } from 'lodash-es';
 import { ApiFullTagDescription, LIST_TAG, api } from '..';
+import { $authToken, $projectId } from '../client';
 import { components, paths } from '../schema';
 import {
   DeleteBoardResult,
@@ -27,9 +33,6 @@ import {
   imagesSelectors,
 } from '../util';
 import { boardsApi } from './boards';
-import { ImageMetadataAndWorkflow } from 'features/nodes/types/types';
-import { fetchBaseQuery } from '@reduxjs/toolkit/dist/query';
-import { $authToken, $projectId } from '../client';
 
 export const imagesApi = api.injectEndpoints({
   endpoints: (build) => ({
@@ -158,18 +161,23 @@ export const imagesApi = api.injectEndpoints({
         let metadata = blobData.metadata;
 
         if (args.shouldFetchMetadataFromApi) {
-          const metadataResult = await fetchWithBaseQuery(
+          const metadataResponse = await fetchWithBaseQuery(
             `images/i/${args.image.image_name}/metadata`
           );
-          if (metadataResult.data) {
-            metadata = (metadataResult.data as UnsafeImageMetadata)
-              .metadata as UnsafeImageMetadata['metadata'];
+          if (metadataResponse.data) {
+            const metadataResult = zCoreMetadata.safeParse(
+              // eslint-disable-next-line @typescript-eslint/no-explicit-any
+              (metadataResponse.data as any)?.metadata
+            );
+            if (metadataResult.success) {
+              metadata = metadataResult.data;
+            }
           }
         }
 
         return { data: { ...blobData, metadata } };
       },
-      providesTags: (result, error, { image, shouldFetchMetadataFromApi }) => [
+      providesTags: (result, error, { image }) => [
         { type: 'ImageMetadataFromFile', id: image.image_name },
       ],
       keepUnusedDataFor: 86400, // 24 hours

From 0166d7ba2b0d7eaf7edd1bac56e0773d004e6391 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Fri, 8 Sep 2023 15:22:22 +1000
Subject: [PATCH 045/265] new frontend build

---
 .../frontend/web/dist/assets/App-78495256.js  | 171 ------------------
 .../frontend/web/dist/assets/App-d1567775.js  | 169 +++++++++++++++++
 ...30a.js => ThemeLocaleProvider-374b1ae5.js} |  12 +-
 .../web/dist/assets/index-08cda350.js         | 126 -------------
 .../web/dist/assets/index-f83c2c5c.js         | 128 +++++++++++++
 .../frontend/web/dist/assets/menu-31376327.js |   1 +
 .../frontend/web/dist/assets/menu-3d10c968.js |   1 -
 invokeai/frontend/web/dist/index.html         |   2 +-
 invokeai/frontend/web/dist/locales/en.json    |   2 +
 9 files changed, 307 insertions(+), 305 deletions(-)
 delete mode 100644 invokeai/frontend/web/dist/assets/App-78495256.js
 create mode 100644 invokeai/frontend/web/dist/assets/App-d1567775.js
 rename invokeai/frontend/web/dist/assets/{ThemeLocaleProvider-707a230a.js => ThemeLocaleProvider-374b1ae5.js} (90%)
 delete mode 100644 invokeai/frontend/web/dist/assets/index-08cda350.js
 create mode 100644 invokeai/frontend/web/dist/assets/index-f83c2c5c.js
 create mode 100644 invokeai/frontend/web/dist/assets/menu-31376327.js
 delete mode 100644 invokeai/frontend/web/dist/assets/menu-3d10c968.js

diff --git a/invokeai/frontend/web/dist/assets/App-78495256.js b/invokeai/frontend/web/dist/assets/App-78495256.js
deleted file mode 100644
index 4bc5b38344..0000000000
--- a/invokeai/frontend/web/dist/assets/App-78495256.js
+++ /dev/null
@@ -1,171 +0,0 @@
-var iv=(e,t,n)=>{if(!t.has(e))throw TypeError("Cannot "+n)};var Pe=(e,t,n)=>(iv(e,t,"read from private field"),n?n.call(e):t.get(e)),rr=(e,t,n)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,n)},as=(e,t,n,r)=>(iv(e,t,"write to private field"),r?r.call(e,n):t.set(e,n),n);var rd=(e,t,n,r)=>({set _(o){as(e,t,o,n)},get _(){return Pe(e,t,r)}}),da=(e,t,n)=>(iv(e,t,"access private method"),n);import{t as o7,a as rf,b as D_,S as A_,c as N_,d as T_,e as b1,f as $_,i as x1,g as s7,k as a7,h as i7,j as l7,l as Kw,m as L_,n as c7,o as u7,p as d7,q as f7,r as p7,s as h7,u as m7,v as g7,w as u,x as a,y as Yb,z as vh,A as v7,B as b7,C as x7,D as y7,P as w7,E as Jb,F as C7,G as S7,H as k7,I as j7,J as Te,K as _7,L as Me,M as _t,N as rt,O as of,Q as co,R as yr,T as Vr,U as Jn,V as Wl,W as Xi,X as Ht,Y as gs,Z as zc,_ as ui,$ as Lm,a0 as Zb,a1 as Cu,a2 as ar,a3 as P7,a4 as H,a5 as Xw,a6 as I7,a7 as F_,a8 as y1,a9 as sf,aa as 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0,[fn.sent(),(Ue={fulfilledTimeStamp:Date.now(),baseQueryMeta:ht.meta},Ue[Xe.SHOULD_AUTOBATCH]=!0,Ue)])];case 8:if(Le=fn.sent(),!((Ve=Le)instanceof Q))return[3,12];nt=It,wt.query&&wt.transformErrorResponse&&(nt=wt.transformErrorResponse),fn.label=9;case 9:return fn.trys.push([9,11,,12]),At=mr,[4,nt(Ve.value,Ve.meta,Ct.originalArgs)];case 10:return[2,At.apply(void 0,[fn.sent(),(nn={baseQueryMeta:Ve.meta},nn[Xe.SHOULD_AUTOBATCH]=!0,nn)])];case 11:return Rt=fn.sent(),Ve=Rt,[3,12];case 12:throw console.error(Ve),Ve;case 13:return[2]}})})};function Sn(Ye,Mt){var Ct,at,wt,Bt,ht=(at=(Ct=Mt[Rn])==null?void 0:Ct.queries)==null?void 0:at[Ye.queryCacheKey],ot=(wt=Mt[Rn])==null?void 0:wt.config.refetchOnMountOrArgChange,Ae=ht==null?void 0:ht.fulfilledTimeStamp,Re=(Bt=Ye.forceRefetch)!=null?Bt:Ye.subscribe&&ot;return!!Re&&(Re===!0||(Number(new Date)-Number(Ae))/1e3>=Re)}var On=(0,Xe.createAsyncThunk)(Rn+"/executeQuery",dn,{getPendingMeta:function(){var Ye;return(Ye={startedTimeStamp:Date.now()})[Xe.SHOULD_AUTOBATCH]=!0,Ye},condition:function(Ye,Mt){var Ct,at,wt,Bt=(0,Mt.getState)(),ht=(at=(Ct=Bt[Rn])==null?void 0:Ct.queries)==null?void 0:at[Ye.queryCacheKey],ot=ht==null?void 0:ht.fulfilledTimeStamp,Ae=Ye.originalArgs,Re=ht==null?void 0:ht.originalArgs,Le=hr[Ye.endpointName];return!(!de(Ye)&&((ht==null?void 0:ht.status)==="pending"||!Sn(Ye,Bt)&&(!oe(Le)||!((wt=Le==null?void 0:Le.forceRefetch)!=null&&wt.call(Le,{currentArg:Ae,previousArg:Re,endpointState:ht,state:Bt})))&&ot))},dispatchConditionRejection:!0}),bn=(0,Xe.createAsyncThunk)(Rn+"/executeMutation",dn,{getPendingMeta:function(){var Ye;return(Ye={startedTimeStamp:Date.now()})[Xe.SHOULD_AUTOBATCH]=!0,Ye}});function xn(Ye){return function(Mt){var Ct,at;return((at=(Ct=Mt==null?void 0:Mt.meta)==null?void 0:Ct.arg)==null?void 0:at.endpointName)===Ye}}return{queryThunk:On,mutationThunk:bn,prefetch:function(Ye,Mt,Ct){return function(at,wt){var Bt=function(Le){return"force"in Le}(Ct)&&Ct.force,ht=function(Le){return"ifOlderThan"in Le}(Ct)&&Ct.ifOlderThan,ot=function(Le){return Le===void 0&&(Le=!0),$n.endpoints[Ye].initiate(Mt,{forceRefetch:Le})},Ae=$n.endpoints[Ye].select(Mt)(wt());if(Bt)at(ot());else if(ht){var Re=Ae==null?void 0:Ae.fulfilledTimeStamp;if(!Re)return void at(ot());(Number(new Date)-Number(new Date(Re)))/1e3>=ht&&at(ot())}else at(ot(!1))}},updateQueryData:function(Ye,Mt,Ct){return function(at,wt){var Bt,ht,ot=$n.endpoints[Ye].select(Mt)(wt()),Ae={patches:[],inversePatches:[],undo:function(){return at($n.util.patchQueryData(Ye,Mt,Ae.inversePatches))}};if(ot.status===t.uninitialized)return Ae;if("data"in ot)if((0,De.isDraftable)(ot.data)){var Re=(0,De.produceWithPatches)(ot.data,Ct),Le=Re[2];(Bt=Ae.patches).push.apply(Bt,Re[1]),(ht=Ae.inversePatches).push.apply(ht,Le)}else{var Ve=Ct(ot.data);Ae.patches.push({op:"replace",path:[],value:Ve}),Ae.inversePatches.push({op:"replace",path:[],value:ot.data})}return at($n.util.patchQueryData(Ye,Mt,Ae.patches)),Ae}},upsertQueryData:function(Ye,Mt,Ct){return function(at){var wt;return at($n.endpoints[Ye].initiate(Mt,((wt={subscribe:!1,forceRefetch:!0})[xe]=function(){return{data:Ct}},wt)))}},patchQueryData:function(Ye,Mt,Ct){return function(at){at($n.internalActions.queryResultPatched({queryCacheKey:Tn({queryArgs:Mt,endpointDefinition:hr[Ye],endpointName:Ye}),patches:Ct}))}},buildMatchThunkActions:function(Ye,Mt){return{matchPending:(0,Ne.isAllOf)((0,Ne.isPending)(Ye),xn(Mt)),matchFulfilled:(0,Ne.isAllOf)((0,Ne.isFulfilled)(Ye),xn(Mt)),matchRejected:(0,Ne.isAllOf)((0,Ne.isRejected)(Ye),xn(Mt))}}}}({baseQuery:je,reducerPath:ve,context:ge,api:J,serializeQueryArgs:dt}),et=Se.queryThunk,kt=Se.mutationThunk,Ot=Se.patchQueryData,$t=Se.updateQueryData,Xt=Se.upsertQueryData,tn=Se.prefetch,en=Se.buildMatchThunkActions,qt=function(Pt){var En=Pt.reducerPath,Rn=Pt.queryThunk,er=Pt.mutationThunk,hr=Pt.context,Tn=hr.endpointDefinitions,$n=hr.apiUid,dn=hr.extractRehydrationInfo,Sn=hr.hasRehydrationInfo,On=Pt.assertTagType,bn=Pt.config,xn=(0,he.createAction)(En+"/resetApiState"),Ye=(0,he.createSlice)({name:En+"/queries",initialState:Et,reducers:{removeQueryResult:{reducer:function(ot,Ae){delete ot[Ae.payload.queryCacheKey]},prepare:(0,he.prepareAutoBatched)()},queryResultPatched:function(ot,Ae){var Re=Ae.payload,Le=Re.patches;bt(ot,Re.queryCacheKey,function(Ve){Ve.data=(0,gt.applyPatches)(Ve.data,Le.concat())})}},extraReducers:function(ot){ot.addCase(Rn.pending,function(Ae,Re){var Le,Ve=Re.meta,nt=Re.meta.arg,At=de(nt);(nt.subscribe||At)&&(Ae[Le=nt.queryCacheKey]!=null||(Ae[Le]={status:t.uninitialized,endpointName:nt.endpointName})),bt(Ae,nt.queryCacheKey,function(Rt){Rt.status=t.pending,Rt.requestId=At&&Rt.requestId?Rt.requestId:Ve.requestId,nt.originalArgs!==void 0&&(Rt.originalArgs=nt.originalArgs),Rt.startedTimeStamp=Ve.startedTimeStamp})}).addCase(Rn.fulfilled,function(Ae,Re){var Le=Re.meta,Ve=Re.payload;bt(Ae,Le.arg.queryCacheKey,function(nt){var At;if(nt.requestId===Le.requestId||de(Le.arg)){var Rt=Tn[Le.arg.endpointName].merge;if(nt.status=t.fulfilled,Rt)if(nt.data!==void 0){var Ue=Le.fulfilledTimeStamp,nn=Le.arg,yn=Le.baseQueryMeta,hn=Le.requestId,mr=(0,he.createNextState)(nt.data,function(Xn){return Rt(Xn,Ve,{arg:nn.originalArgs,baseQueryMeta:yn,fulfilledTimeStamp:Ue,requestId:hn})});nt.data=mr}else nt.data=Ve;else nt.data=(At=Tn[Le.arg.endpointName].structuralSharing)==null||At?R((0,on.isDraft)(nt.data)?(0,gt.original)(nt.data):nt.data,Ve):Ve;delete nt.error,nt.fulfilledTimeStamp=Le.fulfilledTimeStamp}})}).addCase(Rn.rejected,function(Ae,Re){var Le=Re.meta,Ve=Le.condition,nt=Le.requestId,At=Re.error,Rt=Re.payload;bt(Ae,Le.arg.queryCacheKey,function(Ue){if(!Ve){if(Ue.requestId!==nt)return;Ue.status=t.rejected,Ue.error=Rt??At}})}).addMatcher(Sn,function(Ae,Re){for(var Le=dn(Re).queries,Ve=0,nt=Object.entries(Le);Ve<nt.length;Ve++){var At=nt[Ve],Rt=At[1];(Rt==null?void 0:Rt.status)!==t.fulfilled&&(Rt==null?void 0:Rt.status)!==t.rejected||(Ae[At[0]]=Rt)}})}}),Mt=(0,he.createSlice)({name:En+"/mutations",initialState:Et,reducers:{removeMutationResult:{reducer:function(ot,Ae){var Re=ye(Ae.payload);Re in ot&&delete ot[Re]},prepare:(0,he.prepareAutoBatched)()}},extraReducers:function(ot){ot.addCase(er.pending,function(Ae,Re){var Le=Re.meta,Ve=Le.requestId,nt=Le.arg,At=Le.startedTimeStamp;nt.track&&(Ae[ye(Re.meta)]={requestId:Ve,status:t.pending,endpointName:nt.endpointName,startedTimeStamp:At})}).addCase(er.fulfilled,function(Ae,Re){var Le=Re.payload,Ve=Re.meta;Ve.arg.track&&We(Ae,Ve,function(nt){nt.requestId===Ve.requestId&&(nt.status=t.fulfilled,nt.data=Le,nt.fulfilledTimeStamp=Ve.fulfilledTimeStamp)})}).addCase(er.rejected,function(Ae,Re){var Le=Re.payload,Ve=Re.error,nt=Re.meta;nt.arg.track&&We(Ae,nt,function(At){At.requestId===nt.requestId&&(At.status=t.rejected,At.error=Le??Ve)})}).addMatcher(Sn,function(Ae,Re){for(var Le=dn(Re).mutations,Ve=0,nt=Object.entries(Le);Ve<nt.length;Ve++){var At=nt[Ve],Rt=At[0],Ue=At[1];(Ue==null?void 0:Ue.status)!==t.fulfilled&&(Ue==null?void 0:Ue.status)!==t.rejected||Rt===(Ue==null?void 0:Ue.requestId)||(Ae[Rt]=Ue)}})}}),Ct=(0,he.createSlice)({name:En+"/invalidation",initialState:Et,reducers:{},extraReducers:function(ot){ot.addCase(Ye.actions.removeQueryResult,function(Ae,Re){for(var Le=Re.payload.queryCacheKey,Ve=0,nt=Object.values(Ae);Ve<nt.length;Ve++)for(var At=0,Rt=Object.values(nt[Ve]);At<Rt.length;At++){var Ue=Rt[At],nn=Ue.indexOf(Le);nn!==-1&&Ue.splice(nn,1)}}).addMatcher(Sn,function(Ae,Re){for(var Le,Ve,nt,At,Rt=dn(Re).provided,Ue=0,nn=Object.entries(Rt);Ue<nn.length;Ue++)for(var yn=nn[Ue],hn=yn[0],mr=0,Xn=Object.entries(yn[1]);mr<Xn.length;mr++)for(var gn=Xn[mr],Un=gn[0],po=gn[1],fn=(At=(Ve=(Le=Ae[hn])!=null?Le:Ae[hn]={})[nt=Un||"__internal_without_id"])!=null?At:Ve[nt]=[],Ln=0,Kr=po;Ln<Kr.length;Ln++){var Rr=Kr[Ln];fn.includes(Rr)||fn.push(Rr)}}).addMatcher((0,he.isAnyOf)((0,he.isFulfilled)(Rn),(0,he.isRejectedWithValue)(Rn)),function(Ae,Re){for(var Le,Ve,nt,At,Rt=lt(Re,"providesTags",Tn,On),Ue=Re.meta.arg.queryCacheKey,nn=0,yn=Object.values(Ae);nn<yn.length;nn++)for(var hn=0,mr=Object.values(yn[nn]);hn<mr.length;hn++){var Xn=mr[hn],gn=Xn.indexOf(Ue);gn!==-1&&Xn.splice(gn,1)}for(var Un=0,po=Rt;Un<po.length;Un++){var fn=po[Un],Ln=fn.type,Kr=fn.id,Rr=(At=(Ve=(Le=Ae[Ln])!=null?Le:Ae[Ln]={})[nt=Kr||"__internal_without_id"])!=null?At:Ve[nt]=[];Rr.includes(Ue)||Rr.push(Ue)}})}}),at=(0,he.createSlice)({name:En+"/subscriptions",initialState:Et,reducers:{updateSubscriptionOptions:function(ot,Ae){},unsubscribeQueryResult:function(ot,Ae){},internal_probeSubscription:function(ot,Ae){}}}),wt=(0,he.createSlice)({name:En+"/internalSubscriptions",initialState:Et,reducers:{subscriptionsUpdated:{reducer:function(ot,Ae){return(0,gt.applyPatches)(ot,Ae.payload)},prepare:(0,he.prepareAutoBatched)()}}}),Bt=(0,he.createSlice)({name:En+"/config",initialState:C({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},bn),reducers:{middlewareRegistered:function(ot,Ae){ot.middlewareRegistered=ot.middlewareRegistered!=="conflict"&&$n===Ae.payload||"conflict"}},extraReducers:function(ot){ot.addCase(Y,function(Ae){Ae.online=!0}).addCase(ce,function(Ae){Ae.online=!1}).addCase(q,function(Ae){Ae.focused=!0}).addCase(te,function(Ae){Ae.focused=!1}).addMatcher(Sn,function(Ae){return C({},Ae)})}}),ht=(0,he.combineReducers)({queries:Ye.reducer,mutations:Mt.reducer,provided:Ct.reducer,subscriptions:wt.reducer,config:Bt.reducer});return{reducer:function(ot,Ae){return ht(xn.match(Ae)?void 0:ot,Ae)},actions:k(C(C(C(C(C({},Bt.actions),Ye.actions),at.actions),wt.actions),Mt.actions),{unsubscribeMutationResult:Mt.actions.removeMutationResult,resetApiState:xn})}}({context:ge,queryThunk:et,mutationThunk:kt,reducerPath:ve,assertTagType:He,config:{refetchOnFocus:ft,refetchOnReconnect:yt,refetchOnMountOrArgChange:Vt,keepUnusedDataFor:st,reducerPath:ve}}),Be=qt.reducer,vt=qt.actions;Fr(J.util,{patchQueryData:Ot,updateQueryData:$t,upsertQueryData:Xt,prefetch:tn,resetApiState:vt.resetApiState}),Fr(J.internalActions,vt);var Dt=function(Pt){var En=Pt.reducerPath,Rn=Pt.queryThunk,er=Pt.api,hr=Pt.context,Tn=hr.apiUid,$n={invalidateTags:(0,ir.createAction)(En+"/invalidateTags")},dn=[Gr,pn,Ur,wr,Vn,Lo];return{middleware:function(On){var bn=!1,xn=k(C({},Pt),{internalState:{currentSubscriptions:{}},refetchQuery:Sn}),Ye=dn.map(function(at){return at(xn)}),Mt=function(at){var wt=at.api,Bt=at.queryThunk,ht=at.internalState,ot=wt.reducerPath+"/subscriptions",Ae=null,Re=!1,Le=wt.internalActions,Ve=Le.updateSubscriptionOptions,nt=Le.unsubscribeQueryResult;return function(At,Rt){var Ue,nn;if(Ae||(Ae=JSON.parse(JSON.stringify(ht.currentSubscriptions))),wt.util.resetApiState.match(At))return Ae=ht.currentSubscriptions={},[!0,!1];if(wt.internalActions.internal_probeSubscription.match(At)){var yn=At.payload;return[!1,!!((Ue=ht.currentSubscriptions[yn.queryCacheKey])!=null&&Ue[yn.requestId])]}var hn=function(gn,Un){var po,fn,Ln,Kr,Rr,vi,Tf,Fo,$a;if(Ve.match(Un)){var oa=Un.payload,La=oa.queryCacheKey,ho=oa.requestId;return(po=gn==null?void 0:gn[La])!=null&&po[ho]&&(gn[La][ho]=oa.options),!0}if(nt.match(Un)){var mo=Un.payload;return ho=mo.requestId,gn[La=mo.queryCacheKey]&&delete gn[La][ho],!0}if(wt.internalActions.removeQueryResult.match(Un))return delete gn[Un.payload.queryCacheKey],!0;if(Bt.pending.match(Un)){var go=Un.meta;if(ho=go.requestId,(eo=go.arg).subscribe)return(Zo=(Ln=gn[fn=eo.queryCacheKey])!=null?Ln:gn[fn]={})[ho]=(Rr=(Kr=eo.subscriptionOptions)!=null?Kr:Zo[ho])!=null?Rr:{},!0}if(Bt.rejected.match(Un)){var Zo,zo=Un.meta,eo=zo.arg;if(ho=zo.requestId,zo.condition&&eo.subscribe)return(Zo=(Tf=gn[vi=eo.queryCacheKey])!=null?Tf:gn[vi]={})[ho]=($a=(Fo=eo.subscriptionOptions)!=null?Fo:Zo[ho])!=null?$a:{},!0}return!1}(ht.currentSubscriptions,At);if(hn){Re||(js(function(){var gn=JSON.parse(JSON.stringify(ht.currentSubscriptions)),Un=(0,qr.produceWithPatches)(Ae,function(){return gn});Rt.next(wt.internalActions.subscriptionsUpdated(Un[1])),Ae=gn,Re=!1}),Re=!0);var mr=!!((nn=At.type)!=null&&nn.startsWith(ot)),Xn=Bt.rejected.match(At)&&At.meta.condition&&!!At.meta.arg.subscribe;return[!mr&&!Xn,!1]}return[!0,!1]}}(xn),Ct=function(at){var wt=at.reducerPath,Bt=at.context,ht=at.refetchQuery,ot=at.internalState,Ae=at.api.internalActions.removeQueryResult;function Re(Le,Ve){var nt=Le.getState()[wt],At=nt.queries,Rt=ot.currentSubscriptions;Bt.batch(function(){for(var Ue=0,nn=Object.keys(Rt);Ue<nn.length;Ue++){var yn=nn[Ue],hn=At[yn],mr=Rt[yn];mr&&hn&&(Object.values(mr).some(function(Xn){return Xn[Ve]===!0})||Object.values(mr).every(function(Xn){return Xn[Ve]===void 0})&&nt.config[Ve])&&(Object.keys(mr).length===0?Le.dispatch(Ae({queryCacheKey:yn})):hn.status!==t.uninitialized&&Le.dispatch(ht(hn,yn)))}})}return function(Le,Ve){q.match(Le)&&Re(Ve,"refetchOnFocus"),Y.match(Le)&&Re(Ve,"refetchOnReconnect")}}(xn);return function(at){return function(wt){bn||(bn=!0,On.dispatch(er.internalActions.middlewareRegistered(Tn)));var Bt,ht=k(C({},On),{next:at}),ot=On.getState(),Ae=Mt(wt,ht,ot),Re=Ae[1];if(Bt=Ae[0]?at(wt):Re,On.getState()[En]&&(Ct(wt,ht,ot),function(nt){return!!nt&&typeof nt.type=="string"&&nt.type.startsWith(En+"/")}(wt)||hr.hasRehydrationInfo(wt)))for(var Le=0,Ve=Ye;Le<Ve.length;Le++)(0,Ve[Le])(wt,ht,ot);return Bt}}},actions:$n};function Sn(On,bn,xn){return xn===void 0&&(xn={}),Rn(C({type:"query",endpointName:On.endpointName,originalArgs:On.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:bn},xn))}}({reducerPath:ve,context:ge,queryThunk:et,mutationThunk:kt,api:J,assertTagType:He}),Ut=Dt.middleware;Fr(J.util,Dt.actions),Fr(J,{reducer:Be,middleware:Ut});var In=function(Pt){var En=Pt.serializeQueryArgs,Rn=Pt.reducerPath,er=function(dn){return Nt},hr=function(dn){return Lt};return{buildQuerySelector:function(dn,Sn){return function(On){var bn=En({queryArgs:On,endpointDefinition:Sn,endpointName:dn});return(0,ie.createSelector)(On===zt?er:function(xn){var Ye,Mt,Ct;return(Ct=(Mt=(Ye=$n(xn))==null?void 0:Ye.queries)==null?void 0:Mt[bn])!=null?Ct:Nt},Tn)}},buildMutationSelector:function(){return function(dn){var Sn,On;return On=typeof dn=="object"?(Sn=ye(dn))!=null?Sn:zt:dn,(0,ie.createSelector)(On===zt?hr:function(bn){var xn,Ye,Mt;return(Mt=(Ye=(xn=$n(bn))==null?void 0:xn.mutations)==null?void 0:Ye[On])!=null?Mt:Lt},Tn)}},selectInvalidatedBy:function(dn,Sn){for(var On,bn=dn[Rn],xn=new Set,Ye=0,Mt=Sn.map(fe);Ye<Mt.length;Ye++){var Ct=Mt[Ye],at=bn.provided[Ct.type];if(at)for(var wt=0,Bt=(On=Ct.id!==void 0?at[Ct.id]:E(Object.values(at)))!=null?On:[];wt<Bt.length;wt++)xn.add(Bt[wt])}return E(Array.from(xn.values()).map(function(ht){var ot=bn.queries[ht];return ot?[{queryCacheKey:ht,endpointName:ot.endpointName,originalArgs:ot.originalArgs}]:[]}))}};function Tn(dn){return C(C({},dn),{status:Sn=dn.status,isUninitialized:Sn===t.uninitialized,isLoading:Sn===t.pending,isSuccess:Sn===t.fulfilled,isError:Sn===t.rejected});var Sn}function $n(dn){return dn[Rn]}}({serializeQueryArgs:dt,reducerPath:ve}),Kt=In.buildQuerySelector,un=In.buildMutationSelector;Fr(J.util,{selectInvalidatedBy:In.selectInvalidatedBy});var sn=function(Pt){var En=Pt.serializeQueryArgs,Rn=Pt.queryThunk,er=Pt.mutationThunk,hr=Pt.api,Tn=Pt.context,$n=new Map,dn=new Map,Sn=hr.internalActions,On=Sn.unsubscribeQueryResult,bn=Sn.removeMutationResult,xn=Sn.updateSubscriptionOptions;return{buildInitiateQuery:function(Ye,Mt){var Ct=function(at,wt){var Bt=wt===void 0?{}:wt,ht=Bt.subscribe,ot=ht===void 0||ht,Ae=Bt.forceRefetch,Re=Bt.subscriptionOptions,Le=Bt[xe];return function(Ve,nt){var At,Rt,Ue=En({queryArgs:at,endpointDefinition:Mt,endpointName:Ye}),nn=Rn(((At={type:"query",subscribe:ot,forceRefetch:Ae,subscriptionOptions:Re,endpointName:Ye,originalArgs:at,queryCacheKey:Ue})[xe]=Le,At)),yn=hr.endpoints[Ye].select(at),hn=Ve(nn),mr=yn(nt()),Xn=hn.requestId,gn=hn.abort,Un=mr.requestId!==Xn,po=(Rt=$n.get(Ve))==null?void 0:Rt[Ue],fn=function(){return yn(nt())},Ln=Object.assign(Le?hn.then(fn):Un&&!po?Promise.resolve(mr):Promise.all([po,hn]).then(fn),{arg:at,requestId:Xn,subscriptionOptions:Re,queryCacheKey:Ue,abort:gn,unwrap:function(){return O(this,null,function(){var Rr;return r(this,function(vi){switch(vi.label){case 0:return[4,Ln];case 1:if((Rr=vi.sent()).isError)throw Rr.error;return[2,Rr.data]}})})},refetch:function(){return Ve(Ct(at,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){ot&&Ve(On({queryCacheKey:Ue,requestId:Xn}))},updateSubscriptionOptions:function(Rr){Ln.subscriptionOptions=Rr,Ve(xn({endpointName:Ye,requestId:Xn,queryCacheKey:Ue,options:Rr}))}});if(!po&&!Un&&!Le){var Kr=$n.get(Ve)||{};Kr[Ue]=Ln,$n.set(Ve,Kr),Ln.then(function(){delete Kr[Ue],Object.keys(Kr).length||$n.delete(Ve)})}return Ln}};return Ct},buildInitiateMutation:function(Ye){return function(Mt,Ct){var at=Ct===void 0?{}:Ct,wt=at.track,Bt=wt===void 0||wt,ht=at.fixedCacheKey;return function(ot,Ae){var Re=er({type:"mutation",endpointName:Ye,originalArgs:Mt,track:Bt,fixedCacheKey:ht}),Le=ot(Re),Ve=Le.requestId,nt=Le.abort,At=Le.unwrap,Rt=Le.unwrap().then(function(hn){return{data:hn}}).catch(function(hn){return{error:hn}}),Ue=function(){ot(bn({requestId:Ve,fixedCacheKey:ht}))},nn=Object.assign(Rt,{arg:Le.arg,requestId:Ve,abort:nt,unwrap:At,unsubscribe:Ue,reset:Ue}),yn=dn.get(ot)||{};return dn.set(ot,yn),yn[Ve]=nn,nn.then(function(){delete yn[Ve],Object.keys(yn).length||dn.delete(ot)}),ht&&(yn[ht]=nn,nn.then(function(){yn[ht]===nn&&(delete yn[ht],Object.keys(yn).length||dn.delete(ot))})),nn}}},getRunningQueryThunk:function(Ye,Mt){return function(Ct){var at,wt=En({queryArgs:Mt,endpointDefinition:Tn.endpointDefinitions[Ye],endpointName:Ye});return(at=$n.get(Ct))==null?void 0:at[wt]}},getRunningMutationThunk:function(Ye,Mt){return function(Ct){var at;return(at=dn.get(Ct))==null?void 0:at[Mt]}},getRunningQueriesThunk:function(){return function(Ye){return Object.values($n.get(Ye)||{}).filter(Ce)}},getRunningMutationsThunk:function(){return function(Ye){return Object.values(dn.get(Ye)||{}).filter(Ce)}},getRunningOperationPromises:function(){var Ye=function(Mt){return Array.from(Mt.values()).flatMap(function(Ct){return Ct?Object.values(Ct):[]})};return o(o([],Ye($n)),Ye(dn)).filter(Ce)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
-       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
-       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:et,mutationThunk:kt,api:J,serializeQueryArgs:dt,context:ge}),Mr=sn.buildInitiateQuery,Zn=sn.buildInitiateMutation;return Fr(J.util,{getRunningOperationPromises:sn.getRunningOperationPromises,getRunningOperationPromise:sn.removalWarning,getRunningMutationThunk:sn.getRunningMutationThunk,getRunningMutationsThunk:sn.getRunningMutationsThunk,getRunningQueryThunk:sn.getRunningQueryThunk,getRunningQueriesThunk:sn.getRunningQueriesThunk}),{name:_s,injectEndpoint:function(Pt,En){var Rn,er=J;(Rn=er.endpoints)[Pt]!=null||(Rn[Pt]={}),oe(En)?Fr(er.endpoints[Pt],{name:Pt,select:Kt(Pt,En),initiate:Mr(Pt,En)},en(et,Pt)):En.type===W.mutation&&Fr(er.endpoints[Pt],{name:Pt,select:un(),initiate:Zn(Pt)},en(kt,Pt))}}}}},ra=Qe(Ta())})(jO);kO.exports=jO;var Yo=kO.exports;const Aee=e=>{const{boardToDelete:t,setBoardToDelete:n}=e,{t:r}=Ie(),o=z(j=>j.config.canRestoreDeletedImagesFromBin),{currentData:s,isFetching:i}=dR((t==null?void 0:t.board_id)??Yo.skipToken),c=u.useMemo(()=>le([ke],j=>{const _=(s??[]).map(O=>W_(j,O));return{imageUsageSummary:{isInitialImage:$s(_,O=>O.isInitialImage),isCanvasImage:$s(_,O=>O.isCanvasImage),isNodesImage:$s(_,O=>O.isNodesImage),isControlNetImage:$s(_,O=>O.isControlNetImage)}}}),[s]),[f,{isLoading:p}]=fR(),[h,{isLoading:m}]=pR(),{imageUsageSummary:v}=z(c),b=u.useCallback(()=>{t&&(f(t.board_id),n(void 0))},[t,f,n]),y=u.useCallback(()=>{t&&(h(t.board_id),n(void 0))},[t,h,n]),x=u.useCallback(()=>{n(void 0)},[n]),C=u.useRef(null),k=u.useMemo(()=>m||p||i,[m,p,i]);return t?a.jsx(Cf,{isOpen:!!t,onClose:x,leastDestructiveRef:C,isCentered:!0,children:a.jsx(Ks,{children:a.jsxs(Sf,{children:[a.jsxs(qs,{fontSize:"lg",fontWeight:"bold",children:["Delete 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r==="IMAGE_DTOS"}case"REMOVE_FROM_BOARD":{if(!(r==="IMAGE_DTO"||"IMAGE_DTOS"))return!1;if(r==="IMAGE_DTO"){const{imageDTO:s}=t.data.current.payload;return s.board_id!=="none"}return r==="IMAGE_DTOS"}default:return!1}},Gee=e=>{const{isOver:t,label:n="Drop"}=e,r=u.useRef(Fi()),{colorMode:o}=di();return a.jsx(yr.div,{initial:{opacity:0},animate:{opacity:1,transition:{duration:.1}},exit:{opacity:0,transition:{duration:.1}},children:a.jsxs($,{sx:{position:"absolute",top:0,insetInlineStart:0,w:"full",h:"full"},children:[a.jsx($,{sx:{position:"absolute",top:0,insetInlineStart:0,w:"full",h:"full",bg:qe("base.700","base.900")(o),opacity:.7,borderRadius:"base",alignItems:"center",justifyContent:"center",transitionProperty:"common",transitionDuration:"0.1s"}}),a.jsx($,{sx:{position:"absolute",top:.5,insetInlineStart:.5,insetInlineEnd:.5,bottom:.5,opacity:1,borderWidth:2,borderColor:t?qe("base.50","base.50")(o):qe("base.200","base.300")(o),borderRadius:"lg",borderStyle:"dashed",transitionProperty:"common",transitionDuration:"0.1s",alignItems:"center",justifyContent:"center"},children:a.jsx(Fe,{sx:{fontSize:"2xl",fontWeight:600,transform:t?"scale(1.1)":"scale(1)",color:t?qe("base.50","base.50")(o):qe("base.200","base.300")(o),transitionProperty:"common",transitionDuration:"0.1s"},children:n})})]})},r.current)},By=u.memo(Gee),qee=e=>{const{dropLabel:t,data:n,disabled:r}=e,o=u.useRef(Fi()),{isOver:s,setNodeRef:i,active:c}=Fy({id:o.current,disabled:r,data:n});return a.jsx(Fe,{ref:i,position:"absolute",top:0,insetInlineStart:0,w:"full",h:"full",pointerEvents:"none",children:a.jsx(co,{children:zy(n,c)&&a.jsx(By,{isOver:s,label:t})})})},Hy=u.memo(qee),Kee=({isSelected:e,isHovered:t})=>a.jsx(Fe,{className:"selection-box",sx:{position:"absolute",top:0,insetInlineEnd:0,bottom:0,insetInlineStart:0,borderRadius:"base",opacity:e?1:.7,transitionProperty:"common",transitionDuration:"0.1s",pointerEvents:"none",shadow:e?t?"hoverSelected.light":"selected.light":t?"hoverUnselected.light":void 0,_dark:{shadow:e?t?"hoverSelected.dark":"selected.dark":t?"hoverUnselected.dark":void 0}}}),Wy=u.memo(Kee),Xee=()=>a.jsx($,{sx:{position:"absolute",insetInlineEnd:0,top:0,p:1},children:a.jsx(hi,{variant:"solid",sx:{bg:"accent.400",_dark:{bg:"accent.500"}},children:"auto"})}),PO=u.memo(Xee);function Vy(e){const[t,n]=u.useState(!1),[r,o]=u.useState(!1),[s,i]=u.useState(!1),[c,f]=u.useState([0,0]),p=u.useRef(null),h=z(v=>v.ui.globalContextMenuCloseTrigger);u.useEffect(()=>{if(t)setTimeout(()=>{o(!0),setTimeout(()=>{i(!0)})});else{i(!1);const v=setTimeout(()=>{o(t)},1e3);return()=>clearTimeout(v)}},[t]),u.useEffect(()=>{n(!1),i(!1),o(!1)},[h]),$L("contextmenu",v=>{var b;(b=p.current)!=null&&b.contains(v.target)||v.target===p.current?(v.preventDefault(),n(!0),f([v.pageX,v.pageY])):n(!1)});const m=u.useCallback(()=>{var v,b;(b=(v=e.menuProps)==null?void 0:v.onClose)==null||b.call(v),n(!1)},[e.menuProps]);return a.jsxs(a.Fragment,{children:[e.children(p),r&&a.jsx(uf,{...e.portalProps,children:a.jsxs(yf,{isOpen:s,gutter:0,...e.menuProps,onClose:m,children:[a.jsx(wf,{"aria-hidden":!0,w:1,h:1,style:{position:"absolute",left:c[0],top:c[1],cursor:"default"},...e.menuButtonProps}),e.renderMenu()]})})]})}const Fg=e=>{const{boardName:t}=Fm(void 0,{selectFromResult:({data:n})=>{const 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a.jsx(Vy,{menuProps:{size:"sm",isLazy:!0},menuButtonProps:{bg:"transparent",_hover:{bg:"transparent"}},renderMenu:()=>a.jsx(Ui,{sx:{visibility:"visible !important"},motionProps:au,onContextMenu:m,children:a.jsxs(fu,{title:p,children:[a.jsx(Bn,{icon:a.jsx(Yl,{}),isDisabled:i||c||f,onClick:h,children:"Auto-add to this Board"}),!e&&a.jsx(Zee,{}),e&&a.jsx(Yee,{board:e,setBoardToDelete:n})]})}),children:r})},IO=u.memo(ete),tte=({board:e,isSelected:t,setBoardToDelete:n})=>{const r=se(),o=u.useMemo(()=>le(ke,({gallery:D,system:T})=>{const K=e.board_id===D.autoAddBoardId,B=D.autoAssignBoardOnClick,G=T.isProcessing;return{isSelectedForAutoAdd:K,autoAssignBoardOnClick:B,isProcessing:G}},Oe),[e.board_id]),{isSelectedForAutoAdd:s,autoAssignBoardOnClick:i,isProcessing:c}=z(o),[f,p]=u.useState(!1),h=u.useCallback(()=>{p(!0)},[]),m=u.useCallback(()=>{p(!1)},[]),{data:v}=X_(e.board_id),{data:b}=Q_(e.board_id),y=u.useMemo(()=>{if(!(!v||!b))return`${v} image${v>1?"s":""}, ${b} 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a.jsxs(ea,{children:[a.jsx(jt,{label:"a_mult",value:o,onChange:f,handleReset:h,withReset:!0,min:0,max:20,step:.01,withInput:!0,withSliderMarks:!0,isDisabled:c||!r}),a.jsx(jt,{label:"bg_th",value:s,onChange:p,handleReset:m,withReset:!0,min:0,max:20,step:.01,withInput:!0,withSliderMarks:!0,isDisabled:c||!r})]})},lae=u.memo(iae),nh=ws.mlsd_image_processor.default,cae=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s,thr_d:i,thr_v:c}=n,f=Zs(),p=z(Or),h=u.useCallback(j=>{f(t,{detect_resolution:j})},[t,f]),m=u.useCallback(j=>{f(t,{image_resolution:j})},[t,f]),v=u.useCallback(j=>{f(t,{thr_d:j})},[t,f]),b=u.useCallback(j=>{f(t,{thr_v:j})},[t,f]),y=u.useCallback(()=>{f(t,{detect_resolution:nh.detect_resolution})},[t,f]),x=u.useCallback(()=>{f(t,{image_resolution:nh.image_resolution})},[t,f]),C=u.useCallback(()=>{f(t,{thr_d:nh.thr_d})},[t,f]),k=u.useCallback(()=>{f(t,{thr_v:nh.thr_v})},[t,f]);return a.jsxs(ea,{children:[a.jsx(jt,{label:"Detect 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",Po,xl,Vo,Zd,tu,nu,cs,pa,Ai,ha,Ni,Ua,Ga,ru,ou,qa,Ds,ef,Wb,M_;let Sde=(M_=class{constructor(t){rr(this,ef);rr(this,Po,!0);rr(this,xl,!1);rr(this,Vo,!1);rr(this,Zd,void 0);rr(this,tu,()=>{});rr(this,nu,()=>{});rr(this,cs,{});rr(this,pa,{});rr(this,Ai,{});rr(this,ha,{});rr(this,Ni,{});rr(this,Ua,{});rr(this,Ga,{});rr(this,ru,0);rr(this,ou,0);rr(this,qa,void 0);rr(this,Ds,void 0);t&&(as(this,Po,t.hasOwnProperty("directed")?t.directed:!0),as(this,xl,t.hasOwnProperty("multigraph")?t.multigraph:!1),as(this,Vo,t.hasOwnProperty("compound")?t.compound:!1)),Pe(this,Vo)&&(as(this,qa,{}),as(this,Ds,{}),Pe(this,Ds)[fl]={})}isDirected(){return Pe(this,Po)}isMultigraph(){return Pe(this,xl)}isCompound(){return Pe(this,Vo)}setGraph(t){return as(this,Zd,t),this}graph(){return Pe(this,Zd)}setDefaultNodeLabel(t){return as(this,tu,t),typeof t!="function"&&as(this,tu,()=>t),this}nodeCount(){return Pe(this,ru)}nodes(){return Object.keys(Pe(this,cs))}sources(){var t=this;return this.nodes().filter(n=>Object.keys(Pe(t,pa)[n]).length===0)}sinks(){var t=this;return this.nodes().filter(n=>Object.keys(Pe(t,ha)[n]).length===0)}setNodes(t,n){var r=arguments,o=this;return t.forEach(function(s){r.length>1?o.setNode(s,n):o.setNode(s)}),this}setNode(t,n){return Pe(this,cs).hasOwnProperty(t)?(arguments.length>1&&(Pe(this,cs)[t]=n),this):(Pe(this,cs)[t]=arguments.length>1?n:Pe(this,tu).call(this,t),Pe(this,Vo)&&(Pe(this,qa)[t]=fl,Pe(this,Ds)[t]={},Pe(this,Ds)[fl][t]=!0),Pe(this,pa)[t]={},Pe(this,Ai)[t]={},Pe(this,ha)[t]={},Pe(this,Ni)[t]={},++rd(this,ru)._,this)}node(t){return Pe(this,cs)[t]}hasNode(t){return Pe(this,cs).hasOwnProperty(t)}removeNode(t){var n=this;if(Pe(this,cs).hasOwnProperty(t)){var r=o=>n.removeEdge(Pe(n,Ua)[o]);delete Pe(this,cs)[t],Pe(this,Vo)&&(da(this,ef,Wb).call(this,t),delete Pe(this,qa)[t],this.children(t).forEach(function(o){n.setParent(o)}),delete Pe(this,Ds)[t]),Object.keys(Pe(this,pa)[t]).forEach(r),delete Pe(this,pa)[t],delete Pe(this,Ai)[t],Object.keys(Pe(this,ha)[t]).forEach(r),delete Pe(this,ha)[t],delete Pe(this,Ni)[t],--rd(this,ru)._}return this}setParent(t,n){if(!Pe(this,Vo))throw new Error("Cannot set parent in a non-compound graph");if(n===void 0)n=fl;else{n+="";for(var r=n;r!==void 0;r=this.parent(r))if(r===t)throw new Error("Setting "+n+" as parent of "+t+" would create a cycle");this.setNode(n)}return this.setNode(t),da(this,ef,Wb).call(this,t),Pe(this,qa)[t]=n,Pe(this,Ds)[n][t]=!0,this}parent(t){if(Pe(this,Vo)){var n=Pe(this,qa)[t];if(n!==fl)return n}}children(t=fl){if(Pe(this,Vo)){var n=Pe(this,Ds)[t];if(n)return Object.keys(n)}else{if(t===fl)return this.nodes();if(this.hasNode(t))return[]}}predecessors(t){var n=Pe(this,Ai)[t];if(n)return Object.keys(n)}successors(t){var n=Pe(this,Ni)[t];if(n)return Object.keys(n)}neighbors(t){var n=this.predecessors(t);if(n){const o=new Set(n);for(var r of this.successors(t))o.add(r);return Array.from(o.values())}}isLeaf(t){var n;return this.isDirected()?n=this.successors(t):n=this.neighbors(t),n.length===0}filterNodes(t){var n=new this.constructor({directed:Pe(this,Po),multigraph:Pe(this,xl),compound:Pe(this,Vo)});n.setGraph(this.graph());var r=this;Object.entries(Pe(this,cs)).forEach(function([i,c]){t(i)&&n.setNode(i,c)}),Object.values(Pe(this,Ua)).forEach(function(i){n.hasNode(i.v)&&n.hasNode(i.w)&&n.setEdge(i,r.edge(i))});var o={};function s(i){var c=r.parent(i);return c===void 0||n.hasNode(c)?(o[i]=c,c):c in o?o[c]:s(c)}return Pe(this,Vo)&&n.nodes().forEach(i=>n.setParent(i,s(i))),n}setDefaultEdgeLabel(t){return as(this,nu,t),typeof t!="function"&&as(this,nu,()=>t),this}edgeCount(){return Pe(this,ou)}edges(){return Object.values(Pe(this,Ua))}setPath(t,n){var r=this,o=arguments;return t.reduce(function(s,i){return o.length>1?r.setEdge(s,i,n):r.setEdge(s,i),i}),this}setEdge(){var t,n,r,o,s=!1,i=arguments[0];typeof i=="object"&&i!==null&&"v"in i?(t=i.v,n=i.w,r=i.name,arguments.length===2&&(o=arguments[1],s=!0)):(t=i,n=arguments[1],r=arguments[3],arguments.length>2&&(o=arguments[2],s=!0)),t=""+t,n=""+n,r!==void 0&&(r=""+r);var c=Cd(Pe(this,Po),t,n,r);if(Pe(this,Ga).hasOwnProperty(c))return s&&(Pe(this,Ga)[c]=o),this;if(r!==void 0&&!Pe(this,xl))throw new Error("Cannot set a named edge when isMultigraph = false");this.setNode(t),this.setNode(n),Pe(this,Ga)[c]=s?o:Pe(this,nu).call(this,t,n,r);var f=kde(Pe(this,Po),t,n,r);return t=f.v,n=f.w,Object.freeze(f),Pe(this,Ua)[c]=f,h_(Pe(this,Ai)[n],t),h_(Pe(this,Ni)[t],n),Pe(this,pa)[n][c]=f,Pe(this,ha)[t][c]=f,rd(this,ou)._++,this}edge(t,n,r){var o=arguments.length===1?p1(Pe(this,Po),arguments[0]):Cd(Pe(this,Po),t,n,r);return Pe(this,Ga)[o]}edgeAsObj(){const t=this.edge(...arguments);return typeof t!="object"?{label:t}:t}hasEdge(t,n,r){var o=arguments.length===1?p1(Pe(this,Po),arguments[0]):Cd(Pe(this,Po),t,n,r);return Pe(this,Ga).hasOwnProperty(o)}removeEdge(t,n,r){var o=arguments.length===1?p1(Pe(this,Po),arguments[0]):Cd(Pe(this,Po),t,n,r),s=Pe(this,Ua)[o];return s&&(t=s.v,n=s.w,delete Pe(this,Ga)[o],delete Pe(this,Ua)[o],m_(Pe(this,Ai)[n],t),m_(Pe(this,Ni)[t],n),delete Pe(this,pa)[n][o],delete Pe(this,ha)[t][o],rd(this,ou)._--),this}inEdges(t,n){var r=Pe(this,pa)[t];if(r){var o=Object.values(r);return n?o.filter(s=>s.v===n):o}}outEdges(t,n){var r=Pe(this,ha)[t];if(r){var o=Object.values(r);return n?o.filter(s=>s.w===n):o}}nodeEdges(t,n){var r=this.inEdges(t,n);if(r)return r.concat(this.outEdges(t,n))}},Po=new WeakMap,xl=new WeakMap,Vo=new WeakMap,Zd=new WeakMap,tu=new WeakMap,nu=new WeakMap,cs=new WeakMap,pa=new WeakMap,Ai=new WeakMap,ha=new WeakMap,Ni=new WeakMap,Ua=new WeakMap,Ga=new WeakMap,ru=new WeakMap,ou=new WeakMap,qa=new WeakMap,Ds=new WeakMap,ef=new WeakSet,Wb=function(t){delete Pe(this,Ds)[Pe(this,qa)[t]][t]},M_);function h_(e,t){e[t]?e[t]++:e[t]=1}function m_(e,t){--e[t]||delete e[t]}function Cd(e,t,n,r){var o=""+t,s=""+n;if(!e&&o>s){var i=o;o=s,s=i}return o+p_+s+p_+(r===void 0?Cde:r)}function kde(e,t,n,r){var o=""+t,s=""+n;if(!e&&o>s){var i=o;o=s,s=i}var c={v:o,w:s};return r&&(c.name=r),c}function p1(e,t){return Cd(e,t.v,t.w,t.name)}var p2=Sde,jde="2.1.13",_de={Graph:p2,version:jde},Pde=p2,Ide={write:Ede,read:Rde};function Ede(e){var t={options:{directed:e.isDirected(),multigraph:e.isMultigraph(),compound:e.isCompound()},nodes:Ode(e),edges:Mde(e)};return e.graph()!==void 0&&(t.value=structuredClone(e.graph())),t}function Ode(e){return e.nodes().map(function(t){var n=e.node(t),r=e.parent(t),o={v:t};return n!==void 0&&(o.value=n),r!==void 0&&(o.parent=r),o})}function Mde(e){return e.edges().map(function(t){var n=e.edge(t),r={v:t.v,w:t.w};return t.name!==void 0&&(r.name=t.name),n!==void 0&&(r.value=n),r})}function Rde(e){var t=new Pde(e.options).setGraph(e.value);return e.nodes.forEach(function(n){t.setNode(n.v,n.value),n.parent&&t.setParent(n.v,n.parent)}),e.edges.forEach(function(n){t.setEdge({v:n.v,w:n.w,name:n.name},n.value)}),t}var Dde=Ade;function Ade(e){var t={},n=[],r;function o(s){t.hasOwnProperty(s)||(t[s]=!0,r.push(s),e.successors(s).forEach(o),e.predecessors(s).forEach(o))}return e.nodes().forEach(function(s){r=[],o(s),r.length&&n.push(r)}),n}var so,Ka,tf,Vb,nf,Ub,su,gh,R_;let Nde=(R_=class{constructor(){rr(this,tf);rr(this,nf);rr(this,su);rr(this,so,[]);rr(this,Ka,{})}size(){return Pe(this,so).length}keys(){return Pe(this,so).map(function(t){return t.key})}has(t){return Pe(this,Ka).hasOwnProperty(t)}priority(t){var n=Pe(this,Ka)[t];if(n!==void 0)return Pe(this,so)[n].priority}min(){if(this.size()===0)throw new Error("Queue underflow");return Pe(this,so)[0].key}add(t,n){var r=Pe(this,Ka);if(t=String(t),!r.hasOwnProperty(t)){var o=Pe(this,so),s=o.length;return 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Key: "+t+" Old: "+Pe(this,so)[r].priority+" New: "+n);Pe(this,so)[r].priority=n,da(this,nf,Ub).call(this,r)}},so=new WeakMap,Ka=new WeakMap,tf=new WeakSet,Vb=function(t){var n=Pe(this,so),r=2*t,o=r+1,s=t;r<n.length&&(s=n[r].priority<n[s].priority?r:s,o<n.length&&(s=n[o].priority<n[s].priority?o:s),s!==t&&(da(this,su,gh).call(this,t,s),da(this,tf,Vb).call(this,s)))},nf=new WeakSet,Ub=function(t){for(var n=Pe(this,so),r=n[t].priority,o;t!==0&&(o=t>>1,!(n[o].priority<r));)da(this,su,gh).call(this,t,o),t=o},su=new WeakSet,gh=function(t,n){var r=Pe(this,so),o=Pe(this,Ka),s=r[t],i=r[n];r[t]=i,r[n]=s,o[i.key]=t,o[s.key]=n},R_);var QM=Nde,Tde=QM,YM=Lde,$de=()=>1;function Lde(e,t,n,r){return Fde(e,String(t),n||$de,r||function(o){return e.outEdges(o)})}function Fde(e,t,n,r){var o={},s=new Tde,i,c,f=function(p){var h=p.v!==i?p.v:p.w,m=o[h],v=n(p),b=c.distance+v;if(v<0)throw new Error("dijkstra does not allow negative edge weights. 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e=se(),{tool:t,brushColor:n,brushSize:r,isStaging:o}=z(Ige),{t:s}=Ie();St(["b"],()=>{i()},{enabled:()=>!o,preventDefault:!0},[]),St(["e"],()=>{c()},{enabled:()=>!o,preventDefault:!0},[t]),St(["c"],()=>{f()},{enabled:()=>!o,preventDefault:!0},[t]),St(["shift+f"],()=>{p()},{enabled:()=>!o,preventDefault:!0}),St(["delete","backspace"],()=>{h()},{enabled:()=>!o,preventDefault:!0}),St(["BracketLeft"],()=>{e(mv(Math.max(r-5,5)))},{enabled:()=>!o,preventDefault:!0},[r]),St(["BracketRight"],()=>{e(mv(Math.min(r+5,500)))},{enabled:()=>!o,preventDefault:!0},[r]),St(["Shift+BracketLeft"],()=>{e(gv({...n,a:El(n.a-.05,.05,1)}))},{enabled:()=>!o,preventDefault:!0},[n]),St(["Shift+BracketRight"],()=>{e(gv({...n,a:El(n.a+.05,.05,1)}))},{enabled:()=>!o,preventDefault:!0},[n]);const i=()=>e(Bc("brush")),c=()=>e(Bc("eraser")),f=()=>e(Bc("colorPicker")),p=()=>e(WN()),h=()=>e(VN());return a.jsxs(vr,{isAttached:!0,children:[a.jsx(tt,{"aria-label":`${s("unifiedCanvas.brush")} 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a.jsxs($,{sx:{alignItems:"center",gap:2,flexWrap:"wrap"},children:[a.jsx(Fe,{w:24,children:a.jsx(Zr,{tooltip:`${c("unifiedCanvas.layer")} (Q)`,value:o,data:GN,onChange:_,disabled:n})}),a.jsx(yge,{}),a.jsx(Oge,{}),a.jsxs(vr,{isAttached:!0,children:[a.jsx(tt,{"aria-label":`${c("unifiedCanvas.move")} (V)`,tooltip:`${c("unifiedCanvas.move")} (V)`,icon:a.jsx(oJ,{}),isChecked:s==="move"||n,onClick:m}),a.jsx(tt,{"aria-label":`${c("unifiedCanvas.resetView")} (R)`,tooltip:`${c("unifiedCanvas.resetView")} (R)`,icon:a.jsx(lJ,{}),onClick:v})]}),a.jsxs(vr,{isAttached:!0,children:[a.jsx(tt,{"aria-label":`${c("unifiedCanvas.mergeVisible")} (Shift+M)`,tooltip:`${c("unifiedCanvas.mergeVisible")} (Shift+M)`,icon:a.jsx(kJ,{}),onClick:x,isDisabled:n}),a.jsx(tt,{"aria-label":`${c("unifiedCanvas.saveToGallery")} (Shift+S)`,tooltip:`${c("unifiedCanvas.saveToGallery")} (Shift+S)`,icon:a.jsx(Eg,{}),onClick:C,isDisabled:n}),f&&a.jsx(tt,{"aria-label":`${c("unifiedCanvas.copyToClipboard")} 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e=z(JN),t=z(jr),n=z(Bge),{t:r}=Ie(),o=se(),s=u.useCallback(D=>{D.target instanceof HTMLElement&&D.target.blur()},[]),i=u.useMemo(()=>n.map(D=>a.jsx(Mn,{hasArrow:!0,label:String(r(D.translationKey)),placement:"end",children:a.jsxs(Ro,{onClick:s,children:[a.jsx(H3,{children:String(r(D.translationKey))}),D.icon]})},D.id)),[n,r,s]),c=u.useMemo(()=>n.map(D=>a.jsx(bs,{children:D.content},D.id)),[n]),f=u.useCallback(D=>{const T=ZN[D];T&&o(va(T))},[o]),{minSize:p,isCollapsed:h,setIsCollapsed:m,ref:v,reset:b,expand:y,collapse:x,toggle:C}=$j(Hge,"pixels"),{ref:k,minSize:j,isCollapsed:_,setIsCollapsed:I,reset:O,expand:E,collapse:M,toggle:R}=$j(Vge,"pixels");St("f",()=>{_||h?(E(),y()):(x(),M())},[o,_,h]),St(["t","o"],()=>{C()},[o]),St("g",()=>{R()},[o]);const A=e2();return 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new file mode 100644
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l=d.useRef(null),f=Sn("Popover",IX,e),{children:p,position:h,offset:m,onPositionChange:v,positionDependencies:x,opened:C,transitionProps:b,width:w,middlewares:k,withArrow:_,arrowSize:j,arrowOffset:I,arrowRadius:M,arrowPosition:E,unstyled:O,classNames:D,styles:A,closeOnClickOutside:R,withinPortal:$,portalProps:K,closeOnEscape:B,clickOutsideEvents:U,trapFocus:Y,onClose:W,onOpen:L,onChange:X,zIndex:z,radius:q,shadow:ne,id:Q,defaultOpened:ie,__staticSelector:oe,withRoles:V,disabled:G,returnFocus:J,variant:se,keepMounted:re}=f,fe=PX(f,["children","position","offset","onPositionChange","positionDependencies","opened","transitionProps","width","middlewares","withArrow","arrowSize","arrowOffset","arrowRadius","arrowPosition","unstyled","classNames","styles","closeOnClickOutside","withinPortal","portalProps","closeOnEscape","clickOutsideEvents","trapFocus","onClose","onOpen","onChange","zIndex","radius","shadow","id","defaultOpened","__staticSelector","withRoles","disabled","returnFocus","variant","keepMounted"]),[de,me]=d.useState(null),[ye,he]=d.useState(null),ue=Vb(Q),De=ca(),je=Uq({middlewares:k,width:w,position:kX(De.dir,h),offset:typeof 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Ba({opened:e,transitionProps:t={transition:"fade",duration:0},shadow:n,withinPortal:r,portalProps:o,children:s,__staticSelector:i,onDirectionChange:l,switchDirectionOnFlip:f,zIndex:p,dropdownPosition:h,positionDependencies:m=[],classNames:v,styles:x,unstyled:C,readOnly:b,variant:w}){return H.createElement(Bc,{unstyled:C,classNames:v,styles:x,width:"target",withRoles:!1,opened:e,middlewares:{flip:h==="flip",shift:!1},position:h==="flip"?"bottom":h,positionDependencies:m,zIndex:p,__staticSelector:i,withinPortal:r,portalProps:o,transitionProps:t,shadow:n,disabled:b,onPositionChange:k=>f&&(l==null?void 0:l(k==="top"?"column-reverse":"column")),variant:w},s)}Ba.Target=Bc.Target;Ba.Dropdown=DX;var RX=Object.defineProperty,AX=Object.defineProperties,NX=Object.getOwnPropertyDescriptors,Rh=Object.getOwnPropertySymbols,RI=Object.prototype.hasOwnProperty,AI=Object.prototype.propertyIsEnumerable,K4=(e,t,n)=>t in e?RX(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n,dp=(e,t)=>{for(var n in t||(t={}))RI.call(t,n)&&K4(e,n,t[n]);if(Rh)for(var n of Rh(t))AI.call(t,n)&&K4(e,n,t[n]);return e},TX=(e,t)=>AX(e,NX(t)),$X=(e,t)=>{var n={};for(var r in e)RI.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&Rh)for(var r of Rh(e))t.indexOf(r)<0&&AI.call(e,r)&&(n[r]=e[r]);return n};function NI(e,t,n){const r=Sn(e,t,n),{label:o,description:s,error:i,required:l,classNames:f,styles:p,className:h,unstyled:m,__staticSelector:v,sx:x,errorProps:C,labelProps:b,descriptionProps:w,wrapperProps:k,id:_,size:j,style:I,inputContainer:M,inputWrapperOrder:E,withAsterisk:O,variant:D}=r,A=$X(r,["label","description","error","required","classNames","styles","className","unstyled","__staticSelector","sx","errorProps","labelProps","descriptionProps","wrapperProps","id","size","style","inputContainer","inputWrapperOrder","withAsterisk","variant"]),R=Vb(_),{systemStyles:$,rest:K}=Gm(A),B=dp({label:o,description:s,error:i,required:l,classNames:f,className:h,__staticSelector:v,sx:x,errorProps:C,labelProps:b,descriptionProps:w,unstyled:m,styles:p,id:R,size:j,style:I,inputContainer:M,inputWrapperOrder:E,withAsterisk:O,variant:D},k);return 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t=F(Pn),{model:n}=e,[r,{isLoading:o}]=aA(),s=te(),{t:i}=we(),l=ol({initialValues:{model_name:n.model_name?n.model_name:"",base_model:n.base_model,model_type:"lora",path:n.path?n.path:"",description:n.description?n.description:"",model_format:n.model_format},validate:{path:p=>p.trim().length===0?"Must provide a path":null}}),f=d.useCallback(p=>{const h={base_model:n.base_model,model_name:n.model_name,body:p};r(h).unwrap().then(m=>{l.setValues(m),s(Nt(zt({title:i("modelManager.modelUpdated"),status:"success"})))}).catch(m=>{l.reset(),s(Nt(zt({title:i("modelManager.modelUpdateFailed"),status:"error"})))})},[s,l,n.base_model,n.model_name,i,r]);return a.jsxs(T,{flexDirection:"column",rowGap:4,width:"100%",children:[a.jsxs(T,{flexDirection:"column",children:[a.jsx(be,{fontSize:"lg",fontWeight:"bold",children:n.model_name}),a.jsxs(be,{fontSize:"sm",color:"base.400",children:[mn[n.base_model]," Model ⋅"," ",iA[n.model_format]," 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+ * @license React
+ * react-reconciler-constants.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */sl.ConcurrentRoot=1;sl.ContinuousEventPriority=4;sl.DefaultEventPriority=16;sl.DiscreteEventPriority=1;sl.IdleEventPriority=536870912;sl.LegacyRoot=0;a8.exports=sl;var i8=a8.exports;const ij={children:!0,ref:!0,key:!0,style:!0,forwardedRef:!0,unstable_applyCache:!0,unstable_applyDrawHitFromCache:!0};let lj=!1,cj=!1;const Ky=".react-konva-event",Zpe=`ReactKonva: You have a Konva node with draggable = true and position defined but no onDragMove or onDragEnd events are handled.
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+Consider to add onDragMove or onDragEnd events.
+For more info see: https://github.com/konvajs/react-konva/issues/256
+`,Jpe=`ReactKonva: You are using "zIndex" attribute for a Konva node.
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+For more info see: https://github.com/konvajs/react-konva/issues/194
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s=JSON.stringify(oN(e),null,2);navigator.clipboard.writeText(`\`\`\`
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+\`\`\``),n({title:"Error Copied"})},[e,n]),o=d.useMemo(()=>Fge({user:"invoke-ai",repo:"InvokeAI",template:"BUG_REPORT.yml",title:`[bug]: ${e.name}: ${e.message}`}),[e.message,e.name]);return a.jsx(T,{layerStyle:"body",sx:{w:"100vw",h:"100vh",alignItems:"center",justifyContent:"center",p:4},children:a.jsxs(T,{layerStyle:"first",sx:{flexDir:"column",borderRadius:"base",justifyContent:"center",gap:8,p:16},children:[a.jsx(oo,{children:"Something went wrong"}),a.jsx(T,{layerStyle:"second",sx:{px:8,py:4,borderRadius:"base",gap:4,justifyContent:"space-between",alignItems:"center"},children:a.jsxs(be,{sx:{fontWeight:600,color:"error.500",_dark:{color:"error.400"}},children:[e.name,": ",e.message]})}),a.jsxs(T,{sx:{gap:4},children:[a.jsx(it,{leftIcon:a.jsx(Dpe,{}),onClick:t,children:"Reset UI"}),a.jsx(it,{leftIcon:a.jsx(Hc,{}),onClick:r,children:"Copy Error"}),a.jsx(Im,{href:o,isExternal:!0,children:a.jsx(it,{leftIcon:a.jsx(PE,{}),children:"Create Issue"})})]})]})})},Hge=d.memo(Bge),Wge=ae([xe],({hotkeys:e})=>{const{shift:t,ctrl:n,meta:r}=e;return{shift:t,ctrl:n,meta:r}},{memoizeOptions:{resultEqualityCheck:kt}}),Vge=()=>{const e=te(),{shift:t,ctrl:n,meta:r}=F(Wge);return Qe("*",()=>{Tp("shift")?!t&&e(Ir(!0)):t&&e(Ir(!1)),Tp("ctrl")?!n&&e(vw(!0)):n&&e(vw(!1)),Tp("meta")?!r&&e(xw(!0)):r&&e(xw(!1))},{keyup:!0,keydown:!0},[t,n,r]),Qe("1",()=>{e(Ra("txt2img"))}),Qe("2",()=>{e(Ra("img2img"))}),Qe("3",()=>{e(Ra("unifiedCanvas"))}),Qe("4",()=>{e(Ra("nodes"))}),Qe("5",()=>{e(Ra("modelManager"))}),null},Uge=d.memo(Vge),Gge={},Kge=({config:e=Gge,headerComponent:t,selectedImage:n})=>{const r=F(OP),o=DP("system"),s=te(),{handlePreselectedImage:i}=zge(),l=d.useCallback(()=>(localStorage.clear(),location.reload(),!1),[]);return d.useEffect(()=>{bn.changeLanguage(r)},[r]),d.useEffect(()=>{Xj(e)&&(o.info({config:e},"Received config"),s(sN(e)))},[s,e,o]),d.useEffect(()=>{s(aN())},[s]),d.useEffect(()=>{i(n)},[i,n]),a.jsxs($ge,{onReset:l,FallbackComponent:Hge,children:[a.jsx(Ua,{w:"100vw",h:"100vh",position:"relative",overflow:"hidden",children:a.jsx(OV,{children:a.jsxs(Ua,{sx:{gap:4,p:4,gridAutoRows:"min-content auto",w:"full",h:"full"},children:[t||a.jsx(uJ,{}),a.jsx(T,{sx:{gap:4,w:"full",h:"full"},children:a.jsx(Nge,{})})]})})}),a.jsx(XQ,{}),a.jsx(VQ,{}),a.jsx(yW,{}),a.jsx(Uge,{})]})},n0e=d.memo(Kge);export{n0e as default};
diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-707a230a.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-374b1ae5.js
similarity index 90%
rename from invokeai/frontend/web/dist/assets/ThemeLocaleProvider-707a230a.js
rename to invokeai/frontend/web/dist/assets/ThemeLocaleProvider-374b1ae5.js
index f4bc264bf2..cc63fa693d 100644
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-707a230a.js
+++ b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-374b1ae5.js
@@ -1,4 +1,4 @@
-import{x as m,h1 as Ze,w as y,Z as Ya,h2 as Za,a8 as ua,ac as d,h3 as b,h4 as o,h5 as Ja,h6 as h,h7 as fa,h8 as Qa,h9 as eo,aF as ro,ha as ao,a5 as oo,hb as to}from"./index-08cda350.js";import{s as ha,n as t,t as io,o as ma,p as no,q as ga,v as ya,w as pa,x as lo,y as Sa,z as xa,A as xr,B as so,D as co,E as bo,F as $a,G as ka,H as _a,J as vo,K as wa,L as uo,M as fo,N as ho,O as mo,Q as za,R as go,S as yo,T as po,U as So,V as xo,W as $o,e as ko,X as _o}from"./menu-3d10c968.js";var Ca=String.raw,Aa=Ca`
+import{v as m,h5 as Je,u as y,Y as Xa,h6 as Ja,a7 as ua,ab as d,h7 as b,h8 as o,h9 as Qa,ha as h,hb as fa,hc as Za,hd as eo,aE as ro,he as ao,a4 as oo,hf as to}from"./index-f83c2c5c.js";import{s as ha,n as t,t as io,o as ma,p as no,q as ga,v as ya,w as pa,x as lo,y as Sa,z as xa,A as xr,B as so,D as co,E as bo,F as $a,G as ka,H as _a,J as vo,K as wa,L as uo,M as fo,N as ho,O as mo,Q as za,R as go,S as yo,T as po,U as So,V as xo,W as $o,e as ko,X as _o}from"./menu-31376327.js";var Ca=String.raw,Aa=Ca`
   :root,
   :host {
     --chakra-vh: 100vh;
@@ -24,7 +24,7 @@ import{x as m,h1 as Ze,w as y,Z as Ya,h2 as Za,a8 as ua,ac as d,h3 as b,h4 as o,
       --chakra-vh: 100dvh;
     }
   }
-`,wo=()=>m.jsx(Ze,{styles:Aa}),zo=({scope:e=""})=>m.jsx(Ze,{styles:Ca`
+`,wo=()=>m.jsx(Je,{styles:Aa}),zo=({scope:e=""})=>m.jsx(Je,{styles:Ca`
       html {
         line-height: 1.5;
         -webkit-text-size-adjust: 100%;
@@ -277,7 +277,7 @@ import{x as m,h1 as Ze,w as y,Z as Ya,h2 as Za,a8 as ua,ac as d,h3 as b,h4 as o,
       }
 
       ${Aa}
-    `}),Ce={light:"chakra-ui-light",dark:"chakra-ui-dark"};function Co(e={}){const{preventTransition:r=!0}=e,a={setDataset:i=>{const n=r?a.preventTransition():void 0;document.documentElement.dataset.theme=i,document.documentElement.style.colorScheme=i,n==null||n()},setClassName(i){document.body.classList.add(i?Ce.dark:Ce.light),document.body.classList.remove(i?Ce.light:Ce.dark)},query(){return window.matchMedia("(prefers-color-scheme: dark)")},getSystemTheme(i){var n;return((n=a.query().matches)!=null?n:i==="dark")?"dark":"light"},addListener(i){const n=a.query(),l=s=>{i(s.matches?"dark":"light")};return typeof n.addListener=="function"?n.addListener(l):n.addEventListener("change",l),()=>{typeof n.removeListener=="function"?n.removeListener(l):n.removeEventListener("change",l)}},preventTransition(){const i=document.createElement("style");return i.appendChild(document.createTextNode("*{-webkit-transition:none!important;-moz-transition:none!important;-o-transition:none!important;-ms-transition:none!important;transition:none!important}")),document.head.appendChild(i),()=>{window.getComputedStyle(document.body),requestAnimationFrame(()=>{requestAnimationFrame(()=>{document.head.removeChild(i)})})}}};return a}var Ao="chakra-ui-color-mode";function Pa(e){return{ssr:!1,type:"localStorage",get(r){if(!(globalThis!=null&&globalThis.document))return r;let a;try{a=localStorage.getItem(e)||r}catch{}return a||r},set(r){try{localStorage.setItem(e,r)}catch{}}}}var Po=Pa(Ao),Pr=()=>{};function Tr(e,r){return e.type==="cookie"&&e.ssr?e.get(r):r}function Ta(e){const{value:r,children:a,options:{useSystemColorMode:i,initialColorMode:n,disableTransitionOnChange:l}={},colorModeManager:s=Po}=e,c=n==="dark"?"dark":"light",[v,x]=y.useState(()=>Tr(s,c)),[T,N]=y.useState(()=>Tr(s)),{getSystemTheme:te,setClassName:_e,setDataset:zr,addListener:Cr}=y.useMemo(()=>Co({preventTransition:l}),[l]),we=n==="system"&&!v?T:v,C=y.useCallback(ie=>{const ze=ie==="system"?te():ie;x(ze),_e(ze==="dark"),zr(ze),s.set(ze)},[s,te,_e,zr]);Ya(()=>{n==="system"&&N(te())},[]),y.useEffect(()=>{const ie=s.get();if(ie){C(ie);return}if(n==="system"){C("system");return}C(c)},[s,c,n,C]);const Ar=y.useCallback(()=>{C(we==="dark"?"light":"dark")},[we,C]);y.useEffect(()=>{if(i)return Cr(C)},[i,Cr,C]);const Xa=y.useMemo(()=>({colorMode:r??we,toggleColorMode:r?Pr:Ar,setColorMode:r?Pr:C,forced:r!==void 0}),[we,Ar,C,r]);return m.jsx(Za.Provider,{value:Xa,children:a})}Ta.displayName="ColorModeProvider";var 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1)"},Bo={"ultra-fast":"50ms",faster:"100ms",fast:"150ms",normal:"200ms",slow:"300ms",slower:"400ms","ultra-slow":"500ms"},Eo={property:Io,easing:Mo,duration:Bo},Do=Eo,Ro={hide:-1,auto:"auto",base:0,docked:10,dropdown:1e3,sticky:1100,banner:1200,overlay:1300,modal:1400,popover:1500,skipLink:1600,toast:1700,tooltip:1800},jo=Ro,Ho={none:0,"1px":"1px solid","2px":"2px solid","4px":"4px solid","8px":"8px solid"},Wo=Ho,Vo={base:"0em",sm:"30em",md:"48em",lg:"62em",xl:"80em","2xl":"96em"},Lo=Vo,qo={transparent:"transparent",current:"currentColor",black:"#000000",white:"#FFFFFF",whiteAlpha:{50:"rgba(255, 255, 255, 0.04)",100:"rgba(255, 255, 255, 0.06)",200:"rgba(255, 255, 255, 0.08)",300:"rgba(255, 255, 255, 0.16)",400:"rgba(255, 255, 255, 0.24)",500:"rgba(255, 255, 255, 0.36)",600:"rgba(255, 255, 255, 0.48)",700:"rgba(255, 255, 255, 0.64)",800:"rgba(255, 255, 255, 0.80)",900:"rgba(255, 255, 255, 0.92)"},blackAlpha:{50:"rgba(0, 0, 0, 0.04)",100:"rgba(0, 0, 0, 0.06)",200:"rgba(0, 0, 0, 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0.92)"},gray:{50:"#F7FAFC",100:"#EDF2F7",200:"#E2E8F0",300:"#CBD5E0",400:"#A0AEC0",500:"#718096",600:"#4A5568",700:"#2D3748",800:"#1A202C",900:"#171923"},red:{50:"#FFF5F5",100:"#FED7D7",200:"#FEB2B2",300:"#FC8181",400:"#F56565",500:"#E53E3E",600:"#C53030",700:"#9B2C2C",800:"#822727",900:"#63171B"},orange:{50:"#FFFAF0",100:"#FEEBC8",200:"#FBD38D",300:"#F6AD55",400:"#ED8936",500:"#DD6B20",600:"#C05621",700:"#9C4221",800:"#7B341E",900:"#652B19"},yellow:{50:"#FFFFF0",100:"#FEFCBF",200:"#FAF089",300:"#F6E05E",400:"#ECC94B",500:"#D69E2E",600:"#B7791F",700:"#975A16",800:"#744210",900:"#5F370E"},green:{50:"#F0FFF4",100:"#C6F6D5",200:"#9AE6B4",300:"#68D391",400:"#48BB78",500:"#38A169",600:"#2F855A",700:"#276749",800:"#22543D",900:"#1C4532"},teal:{50:"#E6FFFA",100:"#B2F5EA",200:"#81E6D9",300:"#4FD1C5",400:"#38B2AC",500:"#319795",600:"#2C7A7B",700:"#285E61",800:"#234E52",900:"#1D4044"},blue:{50:"#ebf8ff",100:"#bee3f8",200:"#90cdf4",300:"#63b3ed",400:"#4299e1",500:"#3182ce",600:"#2b6cb0",700:"#2c5282",800:"#2a4365",900:"#1A365D"},cyan:{50:"#EDFDFD",100:"#C4F1F9",200:"#9DECF9",300:"#76E4F7",400:"#0BC5EA",500:"#00B5D8",600:"#00A3C4",700:"#0987A0",800:"#086F83",900:"#065666"},purple:{50:"#FAF5FF",100:"#E9D8FD",200:"#D6BCFA",300:"#B794F4",400:"#9F7AEA",500:"#805AD5",600:"#6B46C1",700:"#553C9A",800:"#44337A",900:"#322659"},pink:{50:"#FFF5F7",100:"#FED7E2",200:"#FBB6CE",300:"#F687B3",400:"#ED64A6",500:"#D53F8C",600:"#B83280",700:"#97266D",800:"#702459",900:"#521B41"},linkedin:{50:"#E8F4F9",100:"#CFEDFB",200:"#9BDAF3",300:"#68C7EC",400:"#34B3E4",500:"#00A0DC",600:"#008CC9",700:"#0077B5",800:"#005E93",900:"#004471"},facebook:{50:"#E8F4F9",100:"#D9DEE9",200:"#B7C2DA",300:"#6482C0",400:"#4267B2",500:"#385898",600:"#314E89",700:"#29487D",800:"#223B67",900:"#1E355B"},messenger:{50:"#D0E6FF",100:"#B9DAFF",200:"#A2CDFF",300:"#7AB8FF",400:"#2E90FF",500:"#0078FF",600:"#0063D1",700:"#0052AC",800:"#003C7E",900:"#002C5C"},whatsapp:{50:"#dffeec",100:"#b9f5d0",200:"#90edb3",300:"#65e495",400:"#3cdd78",500:"#22c35e",600:"#179848",700:"#0c6c33",800:"#01421c",900:"#001803"},twitter:{50:"#E5F4FD",100:"#C8E9FB",200:"#A8DCFA",300:"#83CDF7",400:"#57BBF5",500:"#1DA1F2",600:"#1A94DA",700:"#1681BF",800:"#136B9E",900:"#0D4D71"},telegram:{50:"#E3F2F9",100:"#C5E4F3",200:"#A2D4EC",300:"#7AC1E4",400:"#47A9DA",500:"#0088CC",600:"#007AB8",700:"#006BA1",800:"#005885",900:"#003F5E"}},No=qo,Oo={none:"0",sm:"0.125rem",base:"0.25rem",md:"0.375rem",lg:"0.5rem",xl:"0.75rem","2xl":"1rem","3xl":"1.5rem",full:"9999px"},Go=Oo,Uo={xs:"0 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0 0.3rem var(--invokeai-colors-accent-100)","0 0 0.3rem var(--invokeai-colors-accent-900)")(e),svg:{fill:t("base.700","base.300")(e)},_selected:{bg:t("accent.400","accent.600")(e),color:t("base.50","base.100")(e),svg:{fill:t("base.50","base.100")(e),filter:t(`drop-shadow(0px 0px 0.3rem var(--invokeai-colors-${r}-600))`,`drop-shadow(0px 0px 0.3rem var(--invokeai-colors-${r}-800))`)(e)},_hover:{bg:t("accent.500","accent.500")(e),color:t("white","base.50")(e),svg:{fill:t("white","base.50")(e)}}},_hover:{bg:t("base.100","base.800")(e),color:t("base.900","base.50")(e),svg:{fill:t("base.800","base.100")(e)}}}}}),xc=o(e=>({padding:0,height:"100%"})),$c=Ya(e=>({root:yc(e),tab:pc(e),tablist:Sc(e),tabpanel:xc(e)})),kc=Ya(e=>({tab:{borderTopRadius:"base",px:4,py:1,fontSize:"sm",color:t("base.600","base.400")(e),fontWeight:500,_selected:{color:t("accent.600","accent.400")(e)}},tabpanel:{p:0,pt:4,w:"full",h:"full"},tabpanels:{w:"full",h:"full"}})),_c=gc({variants:{line:kc,appTabs:$c},defaultProps:{variant:"appTabs",colorScheme:"accent"}}),wc=o(e=>({color:t("base.500","base.400")(e)})),zc=h({variants:{subtext:wc}}),Cc=o(e=>({...er(e),"::-webkit-scrollbar":{display:"initial"},"::-webkit-resizer":{backgroundImage:`linear-gradient(135deg,
       var(--invokeai-colors-base-50) 0%,
       var(--invokeai-colors-base-50) 70%,
       var(--invokeai-colors-base-200) 70%,
@@ -307,4 +307,4 @@ import{x as m,h1 as Ze,w as y,Z as Ya,h2 as Za,a8 as ua,ac as d,h3 as b,h4 as o,
           var(--invokeai-colors-base-900) 0%,
           var(--invokeai-colors-base-900) 70%,
           var(--invokeai-colors-base-800) 70%,
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diff --git a/invokeai/frontend/web/dist/assets/index-08cda350.js b/invokeai/frontend/web/dist/assets/index-08cda350.js
deleted file mode 100644
index 40c468ebd5..0000000000
--- a/invokeai/frontend/web/dist/assets/index-08cda350.js
+++ /dev/null
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r=[];for(const i of n){if(i.status==="aborted")return ke;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return pr.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return ke;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const ke=Object.freeze({status:"aborted"}),Q7=e=>({status:"dirty",value:e}),kr=e=>({status:"valid",value:e}),cx=e=>e.status==="aborted",dx=e=>e.status==="dirty",Vh=e=>e.status==="valid",vy=e=>typeof Promise<"u"&&e instanceof Promise;var xe;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(xe||(xe={}));class Wo{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const X6=(e,t)=>{if(Vh(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new oo(e.common.issues);return this._error=n,this._error}}};function Re(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class Ie{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return fa(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:fa(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new pr,ctx:{common:t.parent.common,data:t.data,parsedType:fa(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(vy(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:fa(t)},o=this._parseSync({data:t,path:i.path,parent:i});return X6(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:fa(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(vy(i)?i:Promise.resolve(i));return X6(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:te.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new fo({schema:this,typeName:Ee.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Ts.create(this,this._def)}nullable(){return lu.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return so.create(this,this._def)}promise(){return pd.create(this,this._def)}or(t){return qh.create([this,t],this._def)}and(t){return Kh.create(this,t,this._def)}transform(t){return new fo({...Re(this._def),schema:this,typeName:Ee.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new Jh({...Re(this._def),innerType:this,defaultValue:n,typeName:Ee.ZodDefault})}brand(){return new eN({typeName:Ee.ZodBranded,type:this,...Re(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new wy({...Re(this._def),innerType:this,catchValue:n,typeName:Ee.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return rg.create(this,t)}readonly(){return Cy.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const bee=/^c[^\s-]{8,}$/i,See=/^[a-z][a-z0-9]*$/,wee=/[0-9A-HJKMNP-TV-Z]{26}/,xee=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,Cee=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,Eee=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,Tee=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,Aee=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,kee=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Pee(e,t){return!!((t==="v4"||!t)&&Tee.test(e)||(t==="v6"||!t)&&Aee.test(e))}class to extends Ie{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:te.invalid_string,...xe.errToObj(r)}),this.nonempty=t=>this.min(1,xe.errToObj(t)),this.trim=()=>new to({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new to({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new to({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==ue.string){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.string,received:o.parsedType}),ke}const r=new pr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),fe(i,{code:te.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),fe(i,{code:te.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?fe(i,{code:te.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&fe(i,{code:te.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")Cee.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"email",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")Eee.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"emoji",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")xee.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"uuid",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")bee.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"cuid",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")See.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"cuid2",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")wee.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"ulid",code:te.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),fe(i,{validation:"url",code:te.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"regex",code:te.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),fe(i,{code:te.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),fe(i,{code:te.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),fe(i,{code:te.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?kee(o).test(t.data)||(i=this._getOrReturnCtx(t,i),fe(i,{code:te.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Pee(t.data,o.version)||(i=this._getOrReturnCtx(t,i),fe(i,{validation:"ip",code:te.invalid_string,message:o.message}),r.dirty()):Ze.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new to({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...xe.errToObj(t)})}url(t){return this._addCheck({kind:"url",...xe.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...xe.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...xe.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...xe.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...xe.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...xe.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...xe.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...xe.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...xe.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...xe.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...xe.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...xe.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...xe.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...xe.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...xe.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}to.create=e=>{var t;return new to({checks:[],typeName:Ee.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Re(e)})};function Oee(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class Ga extends Ie{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==ue.number){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.number,received:o.parsedType}),ke}let r;const i=new pr;for(const o of this._def.checks)o.kind==="int"?Ze.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),fe(r,{code:te.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?Oee(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),fe(r,{code:te.not_finite,message:o.message}),i.dirty()):Ze.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,xe.toString(n))}gt(t,n){return this.setLimit("min",t,!1,xe.toString(n))}lte(t,n){return this.setLimit("max",t,!0,xe.toString(n))}lt(t,n){return this.setLimit("max",t,!1,xe.toString(n))}setLimit(t,n,r,i){return new Ga({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:xe.toString(i)}]})}_addCheck(t){return new Ga({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:xe.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:xe.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:xe.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:xe.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:xe.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:xe.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:xe.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:xe.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:xe.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Ze.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}Ga.create=e=>new Ga({checks:[],typeName:Ee.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Re(e)});class Ha extends Ie{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==ue.bigint){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.bigint,received:o.parsedType}),ke}let r;const i=new pr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),fe(r,{code:te.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Ze.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,xe.toString(n))}gt(t,n){return this.setLimit("min",t,!1,xe.toString(n))}lte(t,n){return this.setLimit("max",t,!0,xe.toString(n))}lt(t,n){return this.setLimit("max",t,!1,xe.toString(n))}setLimit(t,n,r,i){return new Ha({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:xe.toString(i)}]})}_addCheck(t){return new Ha({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:xe.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:xe.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:xe.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:xe.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:xe.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ha.create=e=>{var t;return new Ha({checks:[],typeName:Ee.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Re(e)})};class Gh extends Ie{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==ue.boolean){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.boolean,received:r.parsedType}),ke}return kr(t.data)}}Gh.create=e=>new Gh({typeName:Ee.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Re(e)});class su extends Ie{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==ue.date){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_type,expected:ue.date,received:o.parsedType}),ke}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return fe(o,{code:te.invalid_date}),ke}const r=new pr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),fe(i,{code:te.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),fe(i,{code:te.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Ze.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new su({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:xe.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:xe.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}su.create=e=>new su({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ee.ZodDate,...Re(e)});class _y extends Ie{_parse(t){if(this._getType(t)!==ue.symbol){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.symbol,received:r.parsedType}),ke}return kr(t.data)}}_y.create=e=>new _y({typeName:Ee.ZodSymbol,...Re(e)});class Hh extends Ie{_parse(t){if(this._getType(t)!==ue.undefined){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.undefined,received:r.parsedType}),ke}return kr(t.data)}}Hh.create=e=>new Hh({typeName:Ee.ZodUndefined,...Re(e)});class Wh extends Ie{_parse(t){if(this._getType(t)!==ue.null){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.null,received:r.parsedType}),ke}return kr(t.data)}}Wh.create=e=>new Wh({typeName:Ee.ZodNull,...Re(e)});class hd extends Ie{constructor(){super(...arguments),this._any=!0}_parse(t){return kr(t.data)}}hd.create=e=>new hd({typeName:Ee.ZodAny,...Re(e)});class Yl extends Ie{constructor(){super(...arguments),this._unknown=!0}_parse(t){return kr(t.data)}}Yl.create=e=>new Yl({typeName:Ee.ZodUnknown,...Re(e)});class $s extends Ie{_parse(t){const n=this._getOrReturnCtx(t);return fe(n,{code:te.invalid_type,expected:ue.never,received:n.parsedType}),ke}}$s.create=e=>new $s({typeName:Ee.ZodNever,...Re(e)});class by extends Ie{_parse(t){if(this._getType(t)!==ue.undefined){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.void,received:r.parsedType}),ke}return kr(t.data)}}by.create=e=>new by({typeName:Ee.ZodVoid,...Re(e)});class so extends Ie{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==ue.array)return fe(n,{code:te.invalid_type,expected:ue.array,received:n.parsedType}),ke;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(fe(n,{code:s?te.too_big:te.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(fe(n,{code:te.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(fe(n,{code:te.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Wo(n,s,n.path,a)))).then(s=>pr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Wo(n,s,n.path,a)));return pr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new so({...this._def,minLength:{value:t,message:xe.toString(n)}})}max(t,n){return new so({...this._def,maxLength:{value:t,message:xe.toString(n)}})}length(t,n){return new so({...this._def,exactLength:{value:t,message:xe.toString(n)}})}nonempty(t){return this.min(1,t)}}so.create=(e,t)=>new so({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ee.ZodArray,...Re(t)});function sc(e){if(e instanceof Vt){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ts.create(sc(r))}return new Vt({...e._def,shape:()=>t})}else return e instanceof so?new so({...e._def,type:sc(e.element)}):e instanceof Ts?Ts.create(sc(e.unwrap())):e instanceof lu?lu.create(sc(e.unwrap())):e instanceof qo?qo.create(e.items.map(t=>sc(t))):e}class Vt extends Ie{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Ze.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==ue.object){const u=this._getOrReturnCtx(t);return fe(u,{code:te.invalid_type,expected:ue.object,received:u.parsedType}),ke}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof $s&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new Wo(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof $s){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(fe(i,{code:te.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new Wo(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>pr.mergeObjectSync(r,u)):pr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return xe.errToObj,new Vt({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=xe.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Vt({...this._def,unknownKeys:"strip"})}passthrough(){return new Vt({...this._def,unknownKeys:"passthrough"})}extend(t){return new Vt({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Vt({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ee.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Vt({...this._def,catchall:t})}pick(t){const n={};return Ze.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Vt({...this._def,shape:()=>n})}omit(t){const n={};return Ze.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Vt({...this._def,shape:()=>n})}deepPartial(){return sc(this)}partial(t){const n={};return Ze.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Vt({...this._def,shape:()=>n})}required(t){const n={};return Ze.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ts;)o=o._def.innerType;n[r]=o}}),new Vt({...this._def,shape:()=>n})}keyof(){return J7(Ze.objectKeys(this.shape))}}Vt.create=(e,t)=>new Vt({shape:()=>e,unknownKeys:"strip",catchall:$s.create(),typeName:Ee.ZodObject,...Re(t)});Vt.strictCreate=(e,t)=>new Vt({shape:()=>e,unknownKeys:"strict",catchall:$s.create(),typeName:Ee.ZodObject,...Re(t)});Vt.lazycreate=(e,t)=>new Vt({shape:e,unknownKeys:"strip",catchall:$s.create(),typeName:Ee.ZodObject,...Re(t)});class qh extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new oo(a.ctx.common.issues));return fe(n,{code:te.invalid_union,unionErrors:s}),ke}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new oo(l));return fe(n,{code:te.invalid_union,unionErrors:a}),ke}}get options(){return this._def.options}}qh.create=(e,t)=>new qh({options:e,typeName:Ee.ZodUnion,...Re(t)});const f0=e=>e instanceof Yh?f0(e.schema):e instanceof fo?f0(e.innerType()):e instanceof Zh?[e.value]:e instanceof Wa?e.options:e instanceof Qh?Object.keys(e.enum):e instanceof Jh?f0(e._def.innerType):e instanceof Hh?[void 0]:e instanceof Wh?[null]:null;class c1 extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ue.object)return fe(n,{code:te.invalid_type,expected:ue.object,received:n.parsedType}),ke;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(fe(n,{code:te.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ke)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=f0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new c1({typeName:Ee.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Re(r)})}}function fx(e,t){const n=fa(e),r=fa(t);if(e===t)return{valid:!0,data:e};if(n===ue.object&&r===ue.object){const i=Ze.objectKeys(t),o=Ze.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=fx(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===ue.array&&r===ue.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=fx(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===ue.date&&r===ue.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class Kh extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(cx(o)||cx(s))return ke;const a=fx(o.value,s.value);return a.valid?((dx(o)||dx(s))&&n.dirty(),{status:n.value,value:a.data}):(fe(r,{code:te.invalid_intersection_types}),ke)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}Kh.create=(e,t,n)=>new Kh({left:e,right:t,typeName:Ee.ZodIntersection,...Re(n)});class qo extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.array)return fe(r,{code:te.invalid_type,expected:ue.array,received:r.parsedType}),ke;if(r.data.length<this._def.items.length)return fe(r,{code:te.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),ke;!this._def.rest&&r.data.length>this._def.items.length&&(fe(r,{code:te.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Wo(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>pr.mergeArray(n,s)):pr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new qo({...this._def,rest:t})}}qo.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new qo({items:e,typeName:Ee.ZodTuple,rest:null,...Re(t)})};class Xh extends Ie{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.object)return fe(r,{code:te.invalid_type,expected:ue.object,received:r.parsedType}),ke;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Wo(r,a,r.path,a)),value:s._parse(new Wo(r,r.data[a],r.path,a))});return r.common.async?pr.mergeObjectAsync(n,i):pr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof Ie?new Xh({keyType:t,valueType:n,typeName:Ee.ZodRecord,...Re(r)}):new Xh({keyType:to.create(),valueType:t,typeName:Ee.ZodRecord,...Re(n)})}}class Sy extends Ie{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.map)return fe(r,{code:te.invalid_type,expected:ue.map,received:r.parsedType}),ke;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Wo(r,a,r.path,[u,"key"])),value:o._parse(new Wo(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ke;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ke;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}Sy.create=(e,t,n)=>new Sy({valueType:t,keyType:e,typeName:Ee.ZodMap,...Re(n)});class au extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ue.set)return fe(r,{code:te.invalid_type,expected:ue.set,received:r.parsedType}),ke;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(fe(r,{code:te.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(fe(r,{code:te.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return ke;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Wo(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new au({...this._def,minSize:{value:t,message:xe.toString(n)}})}max(t,n){return new au({...this._def,maxSize:{value:t,message:xe.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}au.create=(e,t)=>new au({valueType:e,minSize:null,maxSize:null,typeName:Ee.ZodSet,...Re(t)});class Vc extends Ie{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ue.function)return fe(n,{code:te.invalid_type,expected:ue.function,received:n.parsedType}),ke;function r(a,l){return yy({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,my(),jh].filter(u=>!!u),issueData:{code:te.invalid_arguments,argumentsError:l}})}function i(a,l){return yy({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,my(),jh].filter(u=>!!u),issueData:{code:te.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof pd){const a=this;return kr(async function(...l){const u=new oo([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return kr(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new oo([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new oo([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Vc({...this._def,args:qo.create(t).rest(Yl.create())})}returns(t){return new Vc({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Vc({args:t||qo.create([]).rest(Yl.create()),returns:n||Yl.create(),typeName:Ee.ZodFunction,...Re(r)})}}class Yh extends Ie{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}Yh.create=(e,t)=>new Yh({getter:e,typeName:Ee.ZodLazy,...Re(t)});class Zh extends Ie{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return fe(n,{received:n.data,code:te.invalid_literal,expected:this._def.value}),ke}return{status:"valid",value:t.data}}get value(){return this._def.value}}Zh.create=(e,t)=>new Zh({value:e,typeName:Ee.ZodLiteral,...Re(t)});function J7(e,t){return new Wa({values:e,typeName:Ee.ZodEnum,...Re(t)})}class Wa extends Ie{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return fe(n,{expected:Ze.joinValues(r),received:n.parsedType,code:te.invalid_type}),ke}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return fe(n,{received:n.data,code:te.invalid_enum_value,options:r}),ke}return kr(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return Wa.create(t)}exclude(t){return Wa.create(this.options.filter(n=>!t.includes(n)))}}Wa.create=J7;class Qh extends Ie{_parse(t){const n=Ze.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==ue.string&&r.parsedType!==ue.number){const i=Ze.objectValues(n);return fe(r,{expected:Ze.joinValues(i),received:r.parsedType,code:te.invalid_type}),ke}if(n.indexOf(t.data)===-1){const i=Ze.objectValues(n);return fe(r,{received:r.data,code:te.invalid_enum_value,options:i}),ke}return kr(t.data)}get enum(){return this._def.values}}Qh.create=(e,t)=>new Qh({values:e,typeName:Ee.ZodNativeEnum,...Re(t)});class pd extends Ie{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ue.promise&&n.common.async===!1)return fe(n,{code:te.invalid_type,expected:ue.promise,received:n.parsedType}),ke;const r=n.parsedType===ue.promise?n.data:Promise.resolve(n.data);return kr(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}pd.create=(e,t)=>new pd({type:e,typeName:Ee.ZodPromise,...Re(t)});class fo extends Ie{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ee.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{fe(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ke:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ke:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!Vh(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>Vh(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Ze.assertNever(i)}}fo.create=(e,t,n)=>new fo({schema:e,typeName:Ee.ZodEffects,effect:t,...Re(n)});fo.createWithPreprocess=(e,t,n)=>new fo({schema:t,effect:{type:"preprocess",transform:e},typeName:Ee.ZodEffects,...Re(n)});class Ts extends Ie{_parse(t){return this._getType(t)===ue.undefined?kr(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ts.create=(e,t)=>new Ts({innerType:e,typeName:Ee.ZodOptional,...Re(t)});class lu extends Ie{_parse(t){return this._getType(t)===ue.null?kr(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}lu.create=(e,t)=>new lu({innerType:e,typeName:Ee.ZodNullable,...Re(t)});class Jh extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===ue.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}Jh.create=(e,t)=>new Jh({innerType:e,typeName:Ee.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Re(t)});class wy extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return vy(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new oo(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new oo(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}wy.create=(e,t)=>new wy({innerType:e,typeName:Ee.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Re(t)});class xy extends Ie{_parse(t){if(this._getType(t)!==ue.nan){const r=this._getOrReturnCtx(t);return fe(r,{code:te.invalid_type,expected:ue.nan,received:r.parsedType}),ke}return{status:"valid",value:t.data}}}xy.create=e=>new xy({typeName:Ee.ZodNaN,...Re(e)});const Ree=Symbol("zod_brand");class eN extends Ie{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class rg extends Ie{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?ke:o.status==="dirty"?(n.dirty(),Q7(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?ke:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new rg({in:t,out:n,typeName:Ee.ZodPipeline})}}class Cy extends Ie{_parse(t){const n=this._def.innerType._parse(t);return Vh(n)&&(n.value=Object.freeze(n.value)),n}}Cy.create=(e,t)=>new Cy({innerType:e,typeName:Ee.ZodReadonly,...Re(t)});const tN=(e,t={},n)=>e?hd.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):hd.create(),Iee={object:Vt.lazycreate};var Ee;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(Ee||(Ee={}));const Mee=(e,t={message:`Input not instance of ${e.name}`})=>tN(n=>n instanceof e,t),nN=to.create,rN=Ga.create,Nee=xy.create,Dee=Ha.create,iN=Gh.create,Lee=su.create,$ee=_y.create,Fee=Hh.create,Bee=Wh.create,zee=hd.create,Uee=Yl.create,jee=$s.create,Vee=by.create,Gee=so.create,Hee=Vt.create,Wee=Vt.strictCreate,qee=qh.create,Kee=c1.create,Xee=Kh.create,Yee=qo.create,Zee=Xh.create,Qee=Sy.create,Jee=au.create,ete=Vc.create,tte=Yh.create,nte=Zh.create,rte=Wa.create,ite=Qh.create,ote=pd.create,Y6=fo.create,ste=Ts.create,ate=lu.create,lte=fo.createWithPreprocess,ute=rg.create,cte=()=>nN().optional(),dte=()=>rN().optional(),fte=()=>iN().optional(),hte={string:e=>to.create({...e,coerce:!0}),number:e=>Ga.create({...e,coerce:!0}),boolean:e=>Gh.create({...e,coerce:!0}),bigint:e=>Ha.create({...e,coerce:!0}),date:e=>su.create({...e,coerce:!0})},pte=ke;var j=Object.freeze({__proto__:null,defaultErrorMap:jh,setErrorMap:vee,getErrorMap:my,makeIssue:yy,EMPTY_PATH:_ee,addIssueToContext:fe,ParseStatus:pr,INVALID:ke,DIRTY:Q7,OK:kr,isAborted:cx,isDirty:dx,isValid:Vh,isAsync:vy,get util(){return Ze},get objectUtil(){return ux},ZodParsedType:ue,getParsedType:fa,ZodType:Ie,ZodString:to,ZodNumber:Ga,ZodBigInt:Ha,ZodBoolean:Gh,ZodDate:su,ZodSymbol:_y,ZodUndefined:Hh,ZodNull:Wh,ZodAny:hd,ZodUnknown:Yl,ZodNever:$s,ZodVoid:by,ZodArray:so,ZodObject:Vt,ZodUnion:qh,ZodDiscriminatedUnion:c1,ZodIntersection:Kh,ZodTuple:qo,ZodRecord:Xh,ZodMap:Sy,ZodSet:au,ZodFunction:Vc,ZodLazy:Yh,ZodLiteral:Zh,ZodEnum:Wa,ZodNativeEnum:Qh,ZodPromise:pd,ZodEffects:fo,ZodTransformer:fo,ZodOptional:Ts,ZodNullable:lu,ZodDefault:Jh,ZodCatch:wy,ZodNaN:xy,BRAND:Ree,ZodBranded:eN,ZodPipeline:rg,ZodReadonly:Cy,custom:tN,Schema:Ie,ZodSchema:Ie,late:Iee,get ZodFirstPartyTypeKind(){return Ee},coerce:hte,any:zee,array:Gee,bigint:Dee,boolean:iN,date:Lee,discriminatedUnion:Kee,effect:Y6,enum:rte,function:ete,instanceof:Mee,intersection:Xee,lazy:tte,literal:nte,map:Qee,nan:Nee,nativeEnum:ite,never:jee,null:Bee,nullable:ate,number:rN,object:Hee,oboolean:fte,onumber:dte,optional:ste,ostring:cte,pipeline:ute,preprocess:lte,promise:ote,record:Zee,set:Jee,strictObject:Wee,string:nN,symbol:$ee,transformer:Y6,tuple:Yee,undefined:Fee,union:qee,unknown:Uee,void:Vee,NEVER:pte,ZodIssueCode:te,quotelessJson:yee,ZodError:oo});const gte=j.string(),kAe=e=>gte.safeParse(e).success,mte=j.string(),PAe=e=>mte.safeParse(e).success,yte=j.string(),OAe=e=>yte.safeParse(e).success,vte=j.string(),RAe=e=>vte.safeParse(e).success,_te=j.number().int().min(1),IAe=e=>_te.safeParse(e).success,bte=j.number().min(1),MAe=e=>bte.safeParse(e).success,oN=j.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),NAe=e=>oN.safeParse(e).success,DAe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},Ste=j.number().int().min(0).max(mee),LAe=e=>Ste.safeParse(e).success,wte=j.number().multipleOf(8).min(64),$Ae=e=>wte.safeParse(e).success,xte=j.number().multipleOf(8).min(64),FAe=e=>xte.safeParse(e).success,$d=j.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),p5=j.object({model_name:j.string().min(1),base_model:$d,model_type:j.literal("main")}),BAe=e=>p5.safeParse(e).success,g5=j.object({model_name:j.string().min(1),base_model:j.literal("sdxl-refiner"),model_type:j.literal("main")}),zAe=e=>g5.safeParse(e).success,Cte=j.object({model_name:j.string().min(1),base_model:$d,model_type:j.literal("onnx")}),Fd=j.union([p5,Cte]),Ete=j.object({model_name:j.string().min(1),base_model:$d}),UAe=j.object({model_name:j.string().min(1),base_model:$d}),jAe=j.object({model_name:j.string().min(1),base_model:$d}),Tte=j.number().min(0).max(1),VAe=e=>Tte.safeParse(e).success;j.enum(["fp16","fp32"]);const Ate=j.number().min(1).max(10),GAe=e=>Ate.safeParse(e).success,kte=j.number().min(1).max(10),HAe=e=>kte.safeParse(e).success,Pte=j.number().min(0).max(1),WAe=e=>Pte.safeParse(e).success;j.enum(["box","gaussian"]);const po={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,tileSize:32,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},Ote=po,sN=Ht({name:"generation",initialState:Ote,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=ya(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=ya(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...po}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 0},setMaskBlur:(e,t)=>{e.maskBlur=t.payload},setMaskBlurMethod:(e,t)=>{e.maskBlurMethod=t.payload},setCanvasCoherenceSteps:(e,t)=>{e.canvasCoherenceSteps=t.payload},setCanvasCoherenceStrength:(e,t)=>{e.canvasCoherenceStrength=t.payload},setTileSize:(e,t)=>{e.tileSize=t.payload},setInfillMethod:(e,t)=>{e.infillMethod=t.payload},setShouldUseSymmetry:(e,t)=>{e.shouldUseSymmetry=t.payload},setHorizontalSymmetrySteps:(e,t)=>{e.horizontalSymmetrySteps=t.payload},setVerticalSymmetrySteps:(e,t)=>{e.verticalSymmetrySteps=t.payload},setShouldUseNoiseSettings:(e,t)=>{e.shouldUseNoiseSettings=t.payload},initialImageChanged:(e,t)=>{const{image_name:n,width:r,height:i}=t.payload;e.initialImage={imageName:n,width:r,height:i}},modelChanged:(e,t)=>{if(e.model=t.payload,e.model===null)return;const{maxClip:n}=gee[e.model.base_model];e.clipSkip=ya(e.clipSkip,0,n)},vaeSelected:(e,t)=>{e.vae=t.payload},vaePrecisionChanged:(e,t)=>{e.vaePrecision=t.payload},setClipSkip:(e,t)=>{e.clipSkip=t.payload},shouldUseCpuNoiseChanged:(e,t)=>{e.shouldUseCpuNoise=t.payload},setShouldShowAdvancedOptions:(e,t)=>{e.shouldShowAdvancedOptions=t.payload,t.payload||(e.clipSkip=0)},setAspectRatio:(e,t)=>{const 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t=e.futureLayerStates.shift();t&&(e.pastLayerStates.push(Jt(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState=t)},setShouldShowGrid:(e,t)=>{e.shouldShowGrid=t.payload},setIsMovingStage:(e,t)=>{e.isMovingStage=t.payload},setShouldSnapToGrid:(e,t)=>{e.shouldSnapToGrid=t.payload},setShouldAutoSave:(e,t)=>{e.shouldAutoSave=t.payload},setShouldShowIntermediates:(e,t)=>{e.shouldShowIntermediates=t.payload},resetCanvas:e=>{e.pastLayerStates.push(Jt(e.layerState)),e.layerState=ac,e.futureLayerStates=[]},canvasResized:(e,t)=>{const{width:n,height:r}=t.payload,i={width:Math.floor(n),height:Math.floor(r)};if(e.stageDimensions=i,!e.layerState.objects.find(Zte)){const o=am(i.width,i.height,512,512,lm),s=sm(i.width,i.height,0,0,512,512,o),a={width:512,height:512};if(e.stageScale=o,e.stageCoordinates=s,e.boundingBoxCoordinates={x:0,y:0},e.boundingBoxDimensions=a,e.boundingBoxScaleMethod==="auto"){const l=Gu(a);e.scaledBoundingBoxDimensions=l}}},resetCanvasView:(e,t)=>{const{contentRect:n,shouldScaleTo1:r}=t.payload,{stageDimensions:{width:i,height:o}}=e,{x:s,y:a,width:l,height:u}=n;if(l!==0&&u!==0){const c=r?1:am(i,o,l,u,lm),d=sm(i,o,s,a,l,u,c);e.stageScale=c,e.stageCoordinates=d}else{const c=am(i,o,512,512,lm),d=sm(i,o,0,0,512,512,c),f={width:512,height:512};if(e.stageScale=c,e.stageCoordinates=d,e.boundingBoxCoordinates={x:0,y:0},e.boundingBoxDimensions=f,e.boundingBoxScaleMethod==="auto"){const h=Gu(f);e.scaledBoundingBoxDimensions=h}}},nextStagingAreaImage:e=>{if(!e.layerState.stagingArea.images.length)return;const t=e.layerState.stagingArea.selectedImageIndex,n=e.layerState.stagingArea.images.length;e.layerState.stagingArea.selectedImageIndex=Math.min(t+1,n-1)},prevStagingAreaImage:e=>{if(!e.layerState.stagingArea.images.length)return;const t=e.layerState.stagingArea.selectedImageIndex;e.layerState.stagingArea.selectedImageIndex=Math.max(t-1,0)},commitStagingAreaImage:(e,t)=>{if(!e.layerState.stagingArea.images.length)return;const{images:n,selectedImageIndex:r}=e.layerState.stagingArea;e.pastLayerStates.push(Jt(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift();const i=n[r];i&&e.layerState.objects.push({...i}),e.layerState.stagingArea={...ac.stagingArea},e.futureLayerStates=[],e.shouldShowStagingOutline=!0,e.shouldShowStagingImage=!0},fitBoundingBoxToStage:e=>{const{boundingBoxDimensions:t,boundingBoxCoordinates:n,stageDimensions:r,stageScale:i}=e,o=r.width/i,s=r.height/i;if(n.x<0||n.x+t.width>o||n.y<0||n.y+t.height>s){const a={width:nm(ya(o,64,512),64),height:nm(ya(s,64,512),64)},l={x:Po(o/2-a.width/2,64),y:Po(s/2-a.height/2,64)};if(e.boundingBoxDimensions=a,e.boundingBoxCoordinates=l,e.boundingBoxScaleMethod==="auto"){const u=Gu(a);e.scaledBoundingBoxDimensions=u}}},setBoundingBoxScaleMethod:(e,t)=>{if(e.boundingBoxScaleMethod=t.payload,t.payload==="auto"){const n=Gu(e.boundingBoxDimensions);e.scaledBoundingBoxDimensions=n}},setScaledBoundingBoxDimensions:(e,t)=>{e.scaledBoundingBoxDimensions=t.payload},setShouldShowStagingImage:(e,t)=>{e.shouldShowStagingImage=t.payload},setShouldShowStagingOutline:(e,t)=>{e.shouldShowStagingOutline=t.payload},setShouldShowCanvasDebugInfo:(e,t)=>{e.shouldShowCanvasDebugInfo=t.payload},setShouldRestrictStrokesToBox:(e,t)=>{e.shouldRestrictStrokesToBox=t.payload},setShouldAntialias:(e,t)=>{e.shouldAntialias=t.payload},setShouldCropToBoundingBoxOnSave:(e,t)=>{e.shouldCropToBoundingBoxOnSave=t.payload},setColorPickerColor:(e,t)=>{e.colorPickerColor=t.payload},commitColorPickerColor:e=>{e.brushColor={...e.colorPickerColor,a:e.brushColor.a},e.tool="brush"},setMergedCanvas:(e,t)=>{e.pastLayerStates.push(Jt(e.layerState)),e.futureLayerStates=[],e.layerState.objects=[t.payload]},resetCanvasInteractionState:e=>{e.cursorPosition=null,e.isDrawing=!1,e.isMouseOverBoundingBox=!1,e.isMoveBoundingBoxKeyHeld=!1,e.isMoveStageKeyHeld=!1,e.isMovingBoundingBox=!1,e.isMovingStage=!1,e.isTransformingBoundingBox=!1},mouseLeftCanvas:e=>{e.cursorPosition=null,e.isDrawing=!1,e.isMouseOverBoundingBox=!1,e.isMovingBoundingBox=!1,e.isTransformingBoundingBox=!1}},extraReducers:e=>{e.addCase(al.pending,t=>{t.layerState.stagingArea.images.length||(t.layerState.stagingArea=ac.stagingArea)}),e.addCase(Mte,(t,n)=>{const r=n.payload;r&&(t.boundingBoxDimensions.height=Po(t.boundingBoxDimensions.width/r,64))})}}),{addEraseRect:$ke,addFillRect:Fke,addImageToStagingArea:Jte,addLine:Bke,addPointToCurrentLine:zke,clearCanvasHistory:Uke,clearMask:jke,commitColorPickerColor:Vke,commitStagingAreaImage:ene,discardStagedImages:Gke,fitBoundingBoxToStage:Hke,mouseLeftCanvas:Wke,nextStagingAreaImage:qke,prevStagingAreaImage:Kke,redo:Xke,resetCanvas:y5,resetCanvasInteractionState:Yke,resetCanvasView:Zke,setBoundingBoxCoordinates:Qke,setBoundingBoxDimensions:J6,setBoundingBoxPreviewFill:Jke,setBoundingBoxScaleMethod:e8e,flipBoundingBoxAxes:t8e,setBrushColor:n8e,setBrushSize:r8e,setColorPickerColor:i8e,setCursorPosition:o8e,setInitialCanvasImage:fN,setIsDrawing:s8e,setIsMaskEnabled:a8e,setIsMouseOverBoundingBox:l8e,setIsMoveBoundingBoxKeyHeld:u8e,setIsMoveStageKeyHeld:c8e,setIsMovingBoundingBox:d8e,setIsMovingStage:f8e,setIsTransformingBoundingBox:h8e,setLayer:p8e,setMaskColor:g8e,setMergedCanvas:tne,setShouldAutoSave:m8e,setShouldCropToBoundingBoxOnSave:y8e,setShouldDarkenOutsideBoundingBox:v8e,setShouldLockBoundingBox:_8e,setShouldPreserveMaskedArea:b8e,setShouldShowBoundingBox:S8e,setShouldShowBrush:w8e,setShouldShowBrushPreview:x8e,setShouldShowCanvasDebugInfo:C8e,setShouldShowCheckboardTransparency:E8e,setShouldShowGrid:T8e,setShouldShowIntermediates:A8e,setShouldShowStagingImage:k8e,setShouldShowStagingOutline:P8e,setShouldSnapToGrid:O8e,setStageCoordinates:R8e,setStageScale:I8e,setTool:M8e,toggleShouldLockBoundingBox:N8e,toggleTool:D8e,undo:L8e,setScaledBoundingBoxDimensions:$8e,setShouldRestrictStrokesToBox:F8e,stagingAreaInitialized:nne,canvasSessionIdChanged:rne,setShouldAntialias:B8e,canvasResized:z8e}=dN.actions,ine=dN.reducer,one={isModalOpen:!1,imagesToChange:[]},hN=Ht({name:"changeBoardModal",initialState:one,reducers:{isModalOpenChanged:(e,t)=>{e.isModalOpen=t.payload},imagesToChangeSelected:(e,t)=>{e.imagesToChange=t.payload},changeBoardReset:e=>{e.imagesToChange=[],e.isModalOpen=!1}}}),{isModalOpenChanged:U8e,imagesToChangeSelected:j8e,changeBoardReset:V8e}=hN.actions,sne=hN.reducer,Pn=["general"],_a=["control","mask","user","other"],ane=100,um=20;/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const lne=4,eA=0,tA=1,une=2;function zd(e){let t=e.length;for(;--t>=0;)e[t]=0}const cne=0,pN=1,dne=2,fne=3,hne=258,v5=29,og=256,np=og+1+v5,Gc=30,_5=19,gN=2*np+1,Bl=15,IS=16,pne=7,b5=256,mN=16,yN=17,vN=18,hx=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),h0=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),gne=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),_N=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),mne=512,ys=new Array((np+2)*2);zd(ys);const rh=new Array(Gc*2);zd(rh);const rp=new Array(mne);zd(rp);const ip=new Array(hne-fne+1);zd(ip);const S5=new Array(v5);zd(S5);const Ty=new Array(Gc);zd(Ty);function MS(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let bN,SN,wN;function NS(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}const xN=e=>e<256?rp[e]:rp[256+(e>>>7)],op=(e,t)=>{e.pending_buf[e.pending++]=t&255,e.pending_buf[e.pending++]=t>>>8&255},Br=(e,t,n)=>{e.bi_valid>IS-n?(e.bi_buf|=t<<e.bi_valid&65535,op(e,e.bi_buf),e.bi_buf=t>>IS-e.bi_valid,e.bi_valid+=n-IS):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=n)},Oo=(e,t,n)=>{Br(e,n[t*2],n[t*2+1])},CN=(e,t)=>{let n=0;do n|=e&1,e>>>=1,n<<=1;while(--t>0);return n>>>1},yne=e=>{e.bi_valid===16?(op(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):e.bi_valid>=8&&(e.pending_buf[e.pending++]=e.bi_buf&255,e.bi_buf>>=8,e.bi_valid-=8)},vne=(e,t)=>{const n=t.dyn_tree,r=t.max_code,i=t.stat_desc.static_tree,o=t.stat_desc.has_stree,s=t.stat_desc.extra_bits,a=t.stat_desc.extra_base,l=t.stat_desc.max_length;let u,c,d,f,h,p,m=0;for(f=0;f<=Bl;f++)e.bl_count[f]=0;for(n[e.heap[e.heap_max]*2+1]=0,u=e.heap_max+1;u<gN;u++)c=e.heap[u],f=n[n[c*2+1]*2+1]+1,f>l&&(f=l,m++),n[c*2+1]=f,!(c>r)&&(e.bl_count[f]++,h=0,c>=a&&(h=s[c-a]),p=n[c*2],e.opt_len+=p*(f+h),o&&(e.static_len+=p*(i[c*2+1]+h)));if(m!==0){do{for(f=l-1;e.bl_count[f]===0;)f--;e.bl_count[f]--,e.bl_count[f+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(f=l;f!==0;f--)for(c=e.bl_count[f];c!==0;)d=e.heap[--u],!(d>r)&&(n[d*2+1]!==f&&(e.opt_len+=(f-n[d*2+1])*n[d*2],n[d*2+1]=f),c--)}},EN=(e,t,n)=>{const r=new Array(Bl+1);let i=0,o,s;for(o=1;o<=Bl;o++)i=i+n[o-1]<<1,r[o]=i;for(s=0;s<=t;s++){let a=e[s*2+1];a!==0&&(e[s*2]=CN(r[a]++,a))}},_ne=()=>{let e,t,n,r,i;const o=new Array(Bl+1);for(n=0,r=0;r<v5-1;r++)for(S5[r]=n,e=0;e<1<<hx[r];e++)ip[n++]=r;for(ip[n-1]=r,i=0,r=0;r<16;r++)for(Ty[r]=i,e=0;e<1<<h0[r];e++)rp[i++]=r;for(i>>=7;r<Gc;r++)for(Ty[r]=i<<7,e=0;e<1<<h0[r]-7;e++)rp[256+i++]=r;for(t=0;t<=Bl;t++)o[t]=0;for(e=0;e<=143;)ys[e*2+1]=8,e++,o[8]++;for(;e<=255;)ys[e*2+1]=9,e++,o[9]++;for(;e<=279;)ys[e*2+1]=7,e++,o[7]++;for(;e<=287;)ys[e*2+1]=8,e++,o[8]++;for(EN(ys,np+1,o),e=0;e<Gc;e++)rh[e*2+1]=5,rh[e*2]=CN(e,5);bN=new MS(ys,hx,og+1,np,Bl),SN=new MS(rh,h0,0,Gc,Bl),wN=new MS(new Array(0),gne,0,_5,pne)},TN=e=>{let t;for(t=0;t<np;t++)e.dyn_ltree[t*2]=0;for(t=0;t<Gc;t++)e.dyn_dtree[t*2]=0;for(t=0;t<_5;t++)e.bl_tree[t*2]=0;e.dyn_ltree[b5*2]=1,e.opt_len=e.static_len=0,e.sym_next=e.matches=0},AN=e=>{e.bi_valid>8?op(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},nA=(e,t,n,r)=>{const i=t*2,o=n*2;return e[i]<e[o]||e[i]===e[o]&&r[t]<=r[n]},DS=(e,t,n)=>{const r=e.heap[n];let i=n<<1;for(;i<=e.heap_len&&(i<e.heap_len&&nA(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!nA(t,r,e.heap[i],e.depth));)e.heap[n]=e.heap[i],n=i,i<<=1;e.heap[n]=r},rA=(e,t,n)=>{let r,i,o=0,s,a;if(e.sym_next!==0)do r=e.pending_buf[e.sym_buf+o++]&255,r+=(e.pending_buf[e.sym_buf+o++]&255)<<8,i=e.pending_buf[e.sym_buf+o++],r===0?Oo(e,i,t):(s=ip[i],Oo(e,s+og+1,t),a=hx[s],a!==0&&(i-=S5[s],Br(e,i,a)),r--,s=xN(r),Oo(e,s,n),a=h0[s],a!==0&&(r-=Ty[s],Br(e,r,a)));while(o<e.sym_next);Oo(e,b5,t)},px=(e,t)=>{const n=t.dyn_tree,r=t.stat_desc.static_tree,i=t.stat_desc.has_stree,o=t.stat_desc.elems;let s,a,l=-1,u;for(e.heap_len=0,e.heap_max=gN,s=0;s<o;s++)n[s*2]!==0?(e.heap[++e.heap_len]=l=s,e.depth[s]=0):n[s*2+1]=0;for(;e.heap_len<2;)u=e.heap[++e.heap_len]=l<2?++l:0,n[u*2]=1,e.depth[u]=0,e.opt_len--,i&&(e.static_len-=r[u*2+1]);for(t.max_code=l,s=e.heap_len>>1;s>=1;s--)DS(e,n,s);u=o;do s=e.heap[1],e.heap[1]=e.heap[e.heap_len--],DS(e,n,1),a=e.heap[1],e.heap[--e.heap_max]=s,e.heap[--e.heap_max]=a,n[u*2]=n[s*2]+n[a*2],e.depth[u]=(e.depth[s]>=e.depth[a]?e.depth[s]:e.depth[a])+1,n[s*2+1]=n[a*2+1]=u,e.heap[1]=u++,DS(e,n,1);while(e.heap_len>=2);e.heap[--e.heap_max]=e.heap[1],vne(e,t),EN(n,l,e.bl_count)},iA=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),t[(n+1)*2+1]=65535,r=0;r<=n;r++)o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)&&(a<u?e.bl_tree[o*2]+=a:o!==0?(o!==i&&e.bl_tree[o*2]++,e.bl_tree[mN*2]++):a<=10?e.bl_tree[yN*2]++:e.bl_tree[vN*2]++,a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4))},oA=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),r=0;r<=n;r++)if(o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)){if(a<u)do Oo(e,o,e.bl_tree);while(--a!==0);else o!==0?(o!==i&&(Oo(e,o,e.bl_tree),a--),Oo(e,mN,e.bl_tree),Br(e,a-3,2)):a<=10?(Oo(e,yN,e.bl_tree),Br(e,a-3,3)):(Oo(e,vN,e.bl_tree),Br(e,a-11,7));a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4)}},bne=e=>{let t;for(iA(e,e.dyn_ltree,e.l_desc.max_code),iA(e,e.dyn_dtree,e.d_desc.max_code),px(e,e.bl_desc),t=_5-1;t>=3&&e.bl_tree[_N[t]*2+1]===0;t--);return e.opt_len+=3*(t+1)+5+5+4,t},Sne=(e,t,n,r)=>{let i;for(Br(e,t-257,5),Br(e,n-1,5),Br(e,r-4,4),i=0;i<r;i++)Br(e,e.bl_tree[_N[i]*2+1],3);oA(e,e.dyn_ltree,t-1),oA(e,e.dyn_dtree,n-1)},wne=e=>{let t=4093624447,n;for(n=0;n<=31;n++,t>>>=1)if(t&1&&e.dyn_ltree[n*2]!==0)return eA;if(e.dyn_ltree[9*2]!==0||e.dyn_ltree[10*2]!==0||e.dyn_ltree[13*2]!==0)return tA;for(n=32;n<og;n++)if(e.dyn_ltree[n*2]!==0)return tA;return eA};let sA=!1;const xne=e=>{sA||(_ne(),sA=!0),e.l_desc=new NS(e.dyn_ltree,bN),e.d_desc=new NS(e.dyn_dtree,SN),e.bl_desc=new NS(e.bl_tree,wN),e.bi_buf=0,e.bi_valid=0,TN(e)},kN=(e,t,n,r)=>{Br(e,(cne<<1)+(r?1:0),3),AN(e),op(e,n),op(e,~n),n&&e.pending_buf.set(e.window.subarray(t,t+n),e.pending),e.pending+=n},Cne=e=>{Br(e,pN<<1,3),Oo(e,b5,ys),yne(e)},Ene=(e,t,n,r)=>{let i,o,s=0;e.level>0?(e.strm.data_type===une&&(e.strm.data_type=wne(e)),px(e,e.l_desc),px(e,e.d_desc),s=bne(e),i=e.opt_len+3+7>>>3,o=e.static_len+3+7>>>3,o<=i&&(i=o)):i=o=n+5,n+4<=i&&t!==-1?kN(e,t,n,r):e.strategy===lne||o===i?(Br(e,(pN<<1)+(r?1:0),3),rA(e,ys,rh)):(Br(e,(dne<<1)+(r?1:0),3),Sne(e,e.l_desc.max_code+1,e.d_desc.max_code+1,s+1),rA(e,e.dyn_ltree,e.dyn_dtree)),TN(e),r&&AN(e)},Tne=(e,t,n)=>(e.pending_buf[e.sym_buf+e.sym_next++]=t,e.pending_buf[e.sym_buf+e.sym_next++]=t>>8,e.pending_buf[e.sym_buf+e.sym_next++]=n,t===0?e.dyn_ltree[n*2]++:(e.matches++,t--,e.dyn_ltree[(ip[n]+og+1)*2]++,e.dyn_dtree[xN(t)*2]++),e.sym_next===e.sym_end);var Ane=xne,kne=kN,Pne=Ene,One=Tne,Rne=Cne,Ine={_tr_init:Ane,_tr_stored_block:kne,_tr_flush_block:Pne,_tr_tally:One,_tr_align:Rne};const Mne=(e,t,n,r)=>{let i=e&65535|0,o=e>>>16&65535|0,s=0;for(;n!==0;){s=n>2e3?2e3:n,n-=s;do i=i+t[r++]|0,o=o+i|0;while(--s);i%=65521,o%=65521}return i|o<<16|0};var sp=Mne;const Nne=()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},Dne=new Uint32Array(Nne()),Lne=(e,t,n,r)=>{const i=Dne,o=r+n;e^=-1;for(let s=r;s<o;s++)e=e>>>8^i[(e^t[s])&255];return e^-1};var Rn=Lne,gd={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"},sg={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:$ne,_tr_stored_block:gx,_tr_flush_block:Fne,_tr_tally:Ia,_tr_align:Bne}=Ine,{Z_NO_FLUSH:Ma,Z_PARTIAL_FLUSH:zne,Z_FULL_FLUSH:Une,Z_FINISH:Ei,Z_BLOCK:aA,Z_OK:Xn,Z_STREAM_END:lA,Z_STREAM_ERROR:zo,Z_DATA_ERROR:jne,Z_BUF_ERROR:LS,Z_DEFAULT_COMPRESSION:Vne,Z_FILTERED:Gne,Z_HUFFMAN_ONLY:cm,Z_RLE:Hne,Z_FIXED:Wne,Z_DEFAULT_STRATEGY:qne,Z_UNKNOWN:Kne,Z_DEFLATED:h1}=sg,Xne=9,Yne=15,Zne=8,Qne=29,Jne=256,mx=Jne+1+Qne,ere=30,tre=19,nre=2*mx+1,rre=15,He=3,ba=258,Uo=ba+He+1,ire=32,md=42,w5=57,yx=69,vx=73,_x=91,bx=103,zl=113,$f=666,xr=1,Ud=2,uu=3,jd=4,ore=3,Ul=(e,t)=>(e.msg=gd[t],t),uA=e=>e*2-(e>4?9:0),ha=e=>{let t=e.length;for(;--t>=0;)e[t]=0},sre=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let are=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask,Na=are;const Yr=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},ni=(e,t)=>{Fne(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,Yr(e.strm)},et=(e,t)=>{e.pending_buf[e.pending++]=t},gf=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},Sx=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=sp(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Rn(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},PN=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-Uo?e.strstart-(e.w_size-Uo):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+ba;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&r<f);if(o=ba-(f-r),r=f-ba,o>s){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},yd=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-Uo)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),sre(e),r+=t),e.strm.avail_in===0)break;if(n=Sx(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=He)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=Na(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=Na(e,e.ins_h,e.window[i+He-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<He)););}while(e.lookahead<Uo&&e.strm.avail_in!==0)},ON=(e,t)=>{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_out<o||(o=e.strm.avail_out-o,i=e.strstart-e.block_start,r>i+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r<n&&(r===0&&t!==Ei||t===Ma||r!==i+e.strm.avail_in)))break;s=t===Ei&&r===i+e.strm.avail_in?1:0,gx(e,0,0,s),e.pending_buf[e.pending-4]=r,e.pending_buf[e.pending-3]=r>>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,Yr(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(Sx(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),s?jd:t!==Ma&&t!==Ei&&e.strm.avail_in===0&&e.strstart===e.block_start?Ud:(o=e.window_size-e.strstart,e.strm.avail_in>o&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(Sx(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water<e.strstart&&(e.high_water=e.strstart),o=e.bi_valid+42>>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Ei)&&t!==Ma&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Ei&&e.strm.avail_in===0&&r===i?1:0,gx(e,e.block_start,r,s),e.block_start+=r,Yr(e.strm)),s?uu:xr)},$S=(e,t)=>{let n,r;for(;;){if(e.lookahead<Uo){if(yd(e),e.lookahead<Uo&&t===Ma)return xr;if(e.lookahead===0)break}if(n=0,e.lookahead>=He&&(e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-Uo&&(e.match_length=PN(e,n)),e.match_length>=He)if(r=Ia(e,e.strstart-e.match_start,e.match_length-He),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=He){e.match_length--;do e.strstart++,e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=Na(e,e.ins_h,e.window[e.strstart+1]);else r=Ia(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(ni(e,!1),e.strm.avail_out===0))return xr}return e.insert=e.strstart<He-1?e.strstart:He-1,t===Ei?(ni(e,!0),e.strm.avail_out===0?uu:jd):e.sym_next&&(ni(e,!1),e.strm.avail_out===0)?xr:Ud},Hu=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<Uo){if(yd(e),e.lookahead<Uo&&t===Ma)return xr;if(e.lookahead===0)break}if(n=0,e.lookahead>=He&&(e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=He-1,n!==0&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-Uo&&(e.match_length=PN(e,n),e.match_length<=5&&(e.strategy===Gne||e.match_length===He&&e.strstart-e.match_start>4096)&&(e.match_length=He-1)),e.prev_length>=He&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-He,r=Ia(e,e.strstart-1-e.prev_match,e.prev_length-He),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=Na(e,e.ins_h,e.window[e.strstart+He-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=He-1,e.strstart++,r&&(ni(e,!1),e.strm.avail_out===0))return xr}else if(e.match_available){if(r=Ia(e,0,e.window[e.strstart-1]),r&&ni(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return xr}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=Ia(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<He-1?e.strstart:He-1,t===Ei?(ni(e,!0),e.strm.avail_out===0?uu:jd):e.sym_next&&(ni(e,!1),e.strm.avail_out===0)?xr:Ud},lre=(e,t)=>{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=ba){if(yd(e),e.lookahead<=ba&&t===Ma)return xr;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=He&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+ba;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&i<o);e.match_length=ba-(o-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=He?(n=Ia(e,1,e.match_length-He),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=Ia(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(ni(e,!1),e.strm.avail_out===0))return xr}return e.insert=0,t===Ei?(ni(e,!0),e.strm.avail_out===0?uu:jd):e.sym_next&&(ni(e,!1),e.strm.avail_out===0)?xr:Ud},ure=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(yd(e),e.lookahead===0)){if(t===Ma)return xr;break}if(e.match_length=0,n=Ia(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(ni(e,!1),e.strm.avail_out===0))return xr}return e.insert=0,t===Ei?(ni(e,!0),e.strm.avail_out===0?uu:jd):e.sym_next&&(ni(e,!1),e.strm.avail_out===0)?xr:Ud};function bo(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const Ff=[new bo(0,0,0,0,ON),new bo(4,4,8,4,$S),new bo(4,5,16,8,$S),new bo(4,6,32,32,$S),new bo(4,4,16,16,Hu),new bo(8,16,32,32,Hu),new bo(8,16,128,128,Hu),new bo(8,32,128,256,Hu),new bo(32,128,258,1024,Hu),new bo(32,258,258,4096,Hu)],cre=e=>{e.window_size=2*e.w_size,ha(e.head),e.max_lazy_match=Ff[e.level].max_lazy,e.good_match=Ff[e.level].good_length,e.nice_match=Ff[e.level].nice_length,e.max_chain_length=Ff[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=He-1,e.match_available=0,e.ins_h=0};function dre(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=h1,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(nre*2),this.dyn_dtree=new Uint16Array((2*ere+1)*2),this.bl_tree=new Uint16Array((2*tre+1)*2),ha(this.dyn_ltree),ha(this.dyn_dtree),ha(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(rre+1),this.heap=new Uint16Array(2*mx+1),ha(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*mx+1),ha(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const ag=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==md&&t.status!==w5&&t.status!==yx&&t.status!==vx&&t.status!==_x&&t.status!==bx&&t.status!==zl&&t.status!==$f?1:0},RN=e=>{if(ag(e))return Ul(e,zo);e.total_in=e.total_out=0,e.data_type=Kne;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?w5:t.wrap?md:zl,e.adler=t.wrap===2?0:1,t.last_flush=-2,$ne(t),Xn},IN=e=>{const t=RN(e);return t===Xn&&cre(e.state),t},fre=(e,t)=>ag(e)||e.state.wrap!==2?zo:(e.state.gzhead=t,Xn),MN=(e,t,n,r,i,o)=>{if(!e)return zo;let s=1;if(t===Vne&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>Xne||n!==h1||r<8||r>15||t<0||t>9||o<0||o>Wne||r===8&&s!==1)return Ul(e,zo);r===8&&(r=9);const a=new dre;return e.state=a,a.strm=e,a.status=md,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<<a.w_bits,a.w_mask=a.w_size-1,a.hash_bits=i+7,a.hash_size=1<<a.hash_bits,a.hash_mask=a.hash_size-1,a.hash_shift=~~((a.hash_bits+He-1)/He),a.window=new Uint8Array(a.w_size*2),a.head=new Uint16Array(a.hash_size),a.prev=new Uint16Array(a.w_size),a.lit_bufsize=1<<i+6,a.pending_buf_size=a.lit_bufsize*4,a.pending_buf=new Uint8Array(a.pending_buf_size),a.sym_buf=a.lit_bufsize,a.sym_end=(a.lit_bufsize-1)*3,a.level=t,a.strategy=o,a.method=n,IN(e)},hre=(e,t)=>MN(e,t,h1,Yne,Zne,qne),pre=(e,t)=>{if(ag(e)||t>aA||t<0)return e?Ul(e,zo):zo;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===$f&&t!==Ei)return Ul(e,e.avail_out===0?LS:zo);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(Yr(e),e.avail_out===0)return n.last_flush=-1,Xn}else if(e.avail_in===0&&uA(t)<=uA(r)&&t!==Ei)return Ul(e,LS);if(n.status===$f&&e.avail_in!==0)return Ul(e,LS);if(n.status===md&&n.wrap===0&&(n.status=zl),n.status===md){let i=h1+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=cm||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=ire),i+=31-i%31,gf(n,i),n.strstart!==0&&(gf(n,e.adler>>>16),gf(n,e.adler&65535)),e.adler=1,n.status=zl,Yr(e),n.pending!==0)return n.last_flush=-1,Xn}if(n.status===w5){if(e.adler=0,et(n,31),et(n,139),et(n,8),n.gzhead)et(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),et(n,n.gzhead.time&255),et(n,n.gzhead.time>>8&255),et(n,n.gzhead.time>>16&255),et(n,n.gzhead.time>>24&255),et(n,n.level===9?2:n.strategy>=cm||n.level<2?4:0),et(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(et(n,n.gzhead.extra.length&255),et(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Rn(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=yx;else 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n=ih.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==Ay)throw new Error(gd[n]);if(t.header&&ih.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=lp.string2buf(t.dictionary):LN.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=ih.deflateSetDictionary(this.strm,r),n!==Ay)throw new Error(gd[n]);this._dict_set=!0}}x5.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?$re:Nre,typeof e=="string"?n.input=lp.string2buf(e):LN.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===Dre||o===Lre)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=ih.deflate(n,o),i===Fre)return 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if(v&16){S=g&65535,v&=15,v&&(p<v&&(h+=A[r++]<<p,p+=8),S+=h&(1<<v)-1,h>>>=v,p-=v),p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=b[h&y];n:for(;;){if(v=g>>>24,h>>>=v,p-=v,v=g>>>16&255,v&16){if(w=g&65535,v&=15,p<v&&(h+=A[r++]<<p,p+=8,p<v&&(h+=A[r++]<<p,p+=8)),w+=h&(1<<v)-1,w>l){t.msg="invalid distance too far back",P.mode=dm;break e}if(h>>>=v,p-=v,v=o-s,w>v){if(v=w-v,v>c&&P.sane){t.msg="invalid distance too far back",P.mode=dm;break e}if(C=0,x=f,d===0){if(C+=u-v,v<S){S-=v;do T[o++]=f[C++];while(--v);C=o-w,x=T}}else if(d<v){if(C+=u+d-v,v-=d,v<S){S-=v;do T[o++]=f[C++];while(--v);if(C=0,d<S){v=d,S-=v;do T[o++]=f[C++];while(--v);C=o-w,x=T}}}else if(C+=d-v,v<S){S-=v;do T[o++]=f[C++];while(--v);C=o-w,x=T}for(;S>2;)T[o++]=x[C++],T[o++]=x[C++],T[o++]=x[C++],S-=3;S&&(T[o++]=x[C++],S>1&&(T[o++]=x[C++]))}else{C=o-w;do T[o++]=T[C++],T[o++]=T[C++],T[o++]=T[C++],S-=3;while(S>2);S&&(T[o++]=T[C++],S>1&&(T[o++]=T[C++]))}}else if(v&64){t.msg="invalid distance code",P.mode=dm;break 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T=new Uint16Array(Wu+1),P=new Uint16Array(Wu+1);let L=null,R,E,k;for(u=0;u<=Wu;u++)T[u]=0;for(c=0;c<r;c++)T[t[n+c]]++;for(h=l,f=Wu;f>=1&&T[f]===0;f--);if(h>f&&(h=f),f===0)return i[o++]=1<<24|64<<16|0,i[o++]=1<<24|64<<16|0,a.bits=1,0;for(d=1;d<f&&T[d]===0;d++);for(h<d&&(h=d),b=1,u=1;u<=Wu;u++)if(b<<=1,b-=T[u],b<0)return-1;if(b>0&&(e===fA||f!==1))return-1;for(P[1]=0,u=1;u<Wu;u++)P[u+1]=P[u]+T[u];for(c=0;c<r;c++)t[n+c]!==0&&(s[P[t[n+c]]++]=c);if(e===fA?(x=L=s,A=20):e===FS?(x=Gre,L=Hre,A=257):(x=Wre,L=qre,A=0),y=0,c=0,u=d,C=o,p=h,m=0,S=-1,_=1<<h,w=_-1,e===FS&&_>cA||e===hA&&_>dA)return 1;for(;;){R=u-m,s[c]+1<A?(E=0,k=s[c]):s[c]>=A?(E=L[s[c]-A],k=x[s[c]-A]):(E=32+64,k=0),g=1<<u-m,v=1<<p,d=v;do v-=g,i[C+(y>>m)+v]=R<<24|E<<16|k|0;while(v!==0);for(g=1<<u-1;y&g;)g>>=1;if(g!==0?(y&=g-1,y+=g):y=0,c++,--T[u]===0){if(u===f)break;u=t[n+s[c]]}if(u>h&&(y&w)!==S){for(m===0&&(m=h),C+=d,p=u-m,b=1<<p;p+m<f&&(b-=T[p+m],!(b<=0));)p++,b<<=1;if(_+=1<<p,e===FS&&_>cA||e===hA&&_>dA)return 1;S=y&w,i[S]=h<<24|p<<16|C-o|0}}return y!==0&&(i[C+y]=u-m<<24|64<<16|0),a.bits=h,0};var oh=Kre;const Xre=0,$N=1,FN=2,{Z_FINISH:pA,Z_BLOCK:Yre,Z_TREES:fm,Z_OK:cu,Z_STREAM_END:Zre,Z_NEED_DICT:Qre,Z_STREAM_ERROR:Mi,Z_DATA_ERROR:BN,Z_MEM_ERROR:zN,Z_BUF_ERROR:Jre,Z_DEFLATED:gA}=sg,g1=16180,mA=16181,yA=16182,vA=16183,_A=16184,bA=16185,SA=16186,wA=16187,xA=16188,CA=16189,ky=16190,is=16191,BS=16192,EA=16193,zS=16194,TA=16195,AA=16196,kA=16197,PA=16198,hm=16199,pm=16200,OA=16201,RA=16202,IA=16203,MA=16204,NA=16205,US=16206,DA=16207,LA=16208,Dt=16209,UN=16210,jN=16211,eie=852,tie=592,nie=15,rie=nie,$A=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function iie(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Cu=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.mode<g1||t.mode>jN?1:0},VN=e=>{if(Cu(e))return Mi;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=g1,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(eie),t.distcode=t.distdyn=new Int32Array(tie),t.sane=1,t.back=-1,cu},GN=e=>{if(Cu(e))return Mi;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,VN(e)},HN=(e,t)=>{let n;if(Cu(e))return Mi;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?Mi:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,GN(e))},WN=(e,t)=>{if(!e)return Mi;const n=new iie;e.state=n,n.strm=e,n.window=null,n.mode=g1;const r=HN(e,t);return r!==cu&&(e.state=null),r},oie=e=>WN(e,rie);let FA=!0,jS,VS;const sie=e=>{if(FA){jS=new Int32Array(512),VS=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(oh($N,e.lens,0,288,jS,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;oh(FN,e.lens,0,32,VS,0,e.work,{bits:5}),FA=!1}e.lencode=jS,e.lenbits=9,e.distcode=VS,e.distbits=5},qN=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new Uint8Array(o.wsize)),r>=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=i))),0},aie=(e,t)=>{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,y,g,v,S,w,C,x;const A=new Uint8Array(4);let T,P;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Cu(e)||!e.output||!e.input&&e.avail_in!==0)return Mi;n=e.state,n.mode===is&&(n.mode=BS),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,x=cu;e:for(;;)switch(n.mode){case g1:if(n.wrap===0){n.mode=BS;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&2&&u===35615){n.wbits===0&&(n.wbits=15),n.check=0,A[0]=u&255,A[1]=u>>>8&255,n.check=Rn(n.check,A,2,0),u=0,c=0,n.mode=mA;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Dt;break}if((u&15)!==gA){e.msg="unknown compression method",n.mode=Dt;break}if(u>>>=4,c-=4,C=(u&15)+8,n.wbits===0&&(n.wbits=C),C>15||C>n.wbits){e.msg="invalid window size",n.mode=Dt;break}n.dmax=1<<n.wbits,n.flags=0,e.adler=n.check=1,n.mode=u&512?CA:is,u=0,c=0;break;case mA:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.flags=u,(n.flags&255)!==gA){e.msg="unknown compression method",n.mode=Dt;break}if(n.flags&57344){e.msg="unknown header flags set",n.mode=Dt;break}n.head&&(n.head.text=u>>8&1),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Rn(n.check,A,2,0)),u=0,c=0,n.mode=yA;case yA:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.time=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,A[2]=u>>>16&255,A[3]=u>>>24&255,n.check=Rn(n.check,A,4,0)),u=0,c=0,n.mode=vA;case vA:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.xflags=u&255,n.head.os=u>>8),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Rn(n.check,A,2,0)),u=0,c=0,n.mode=_A;case _A:if(n.flags&1024){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length=u,n.head&&(n.head.extra_len=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Rn(n.check,A,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=bA;case bA:if(n.flags&1024&&(h=n.length,h>a&&(h=a),h&&(n.head&&(C=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),C)),n.flags&512&&n.wrap&4&&(n.check=Rn(n.check,r,h,o)),a-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=SA;case SA:if(n.flags&2048){if(a===0)break e;h=0;do C=r[o+h++],n.head&&C&&n.length<65536&&(n.head.name+=String.fromCharCode(C));while(C&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Rn(n.check,r,h,o)),a-=h,o+=h,C)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=wA;case wA:if(n.flags&4096){if(a===0)break e;h=0;do C=r[o+h++],n.head&&C&&n.length<65536&&(n.head.comment+=String.fromCharCode(C));while(C&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Rn(n.check,r,h,o)),a-=h,o+=h,C)break e}else n.head&&(n.head.comment=null);n.mode=xA;case xA:if(n.flags&512){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.check&65535)){e.msg="header crc mismatch",n.mode=Dt;break}u=0,c=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=is;break;case CA:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}e.adler=n.check=$A(u),u=0,c=0,n.mode=ky;case ky:if(n.havedict===0)return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Qre;e.adler=n.check=1,n.mode=is;case is:if(t===Yre||t===fm)break e;case BS:if(n.last){u>>>=c&7,c-=c&7,n.mode=US;break}for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}switch(n.last=u&1,u>>>=1,c-=1,u&3){case 0:n.mode=EA;break;case 1:if(sie(n),n.mode=hm,t===fm){u>>>=2,c-=2;break e}break;case 2:n.mode=AA;break;case 3:e.msg="invalid block type",n.mode=Dt}u>>>=2,c-=2;break;case EA:for(u>>>=c&7,c-=c&7;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if((u&65535)!==(u>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Dt;break}if(n.length=u&65535,u=0,c=0,n.mode=zS,t===fm)break e;case zS:n.mode=TA;case TA:if(h=n.length,h){if(h>a&&(h=a),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),s),a-=h,o+=h,l-=h,s+=h,n.length-=h;break}n.mode=is;break;case AA:for(;c<14;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.nlen=(u&31)+257,u>>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Dt;break}n.have=0,n.mode=kA;case kA:for(;n.have<n.ncode;){for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.lens[L[n.have++]]=u&7,u>>>=3,c-=3}for(;n.have<19;)n.lens[L[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},x=oh(Xre,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,x){e.msg="invalid code lengths set",n.mode=Dt;break}n.have=0,n.mode=PA;case PA:for(;n.have<n.nlen+n.ndist;){for(;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(g<16)u>>>=_,c-=_,n.lens[n.have++]=g;else{if(g===16){for(P=_+2;c<P;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(u>>>=_,c-=_,n.have===0){e.msg="invalid bit length repeat",n.mode=Dt;break}C=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(P=_+3;c<P;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,C=0,h=3+(u&7),u>>>=3,c-=3}else{for(P=_+7;c<P;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,C=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Dt;break}for(;h--;)n.lens[n.have++]=C}}if(n.mode===Dt)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Dt;break}if(n.lenbits=9,T={bits:n.lenbits},x=oh($N,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,x){e.msg="invalid literal/lengths set",n.mode=Dt;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},x=oh(FN,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,x){e.msg="invalid distances set",n.mode=Dt;break}if(n.mode=hm,t===fm)break e;case hm:n.mode=pm;case pm:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Vre(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===is&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(y&&!(y&240)){for(v=_,S=y,w=g;b=n.lencode[w+((u&(1<<v+S)-1)>>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,n.length=g,y===0){n.mode=NA;break}if(y&32){n.back=-1,n.mode=is;break}if(y&64){e.msg="invalid literal/length code",n.mode=Dt;break}n.extra=y&15,n.mode=OA;case OA:if(n.extra){for(P=n.extra;c<P;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=RA;case RA:for(;b=n.distcode[u&(1<<n.distbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(!(y&240)){for(v=_,S=y,w=g;b=n.distcode[w+((u&(1<<v+S)-1)>>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,y&64){e.msg="invalid distance code",n.mode=Dt;break}n.offset=g,n.extra=y&15,n.mode=IA;case IA:if(n.extra){for(P=n.extra;c<P;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.offset+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Dt;break}n.mode=MA;case MA:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Dt;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=s-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[s++]=m[p++];while(--h);n.length===0&&(n.mode=pm);break;case NA:if(l===0)break e;i[s++]=n.length,l--,n.mode=pm;break;case US:if(n.wrap){for(;c<32;){if(a===0)break e;a--,u|=r[o++]<<c,c+=8}if(f-=l,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Rn(n.check,i,f,s-f):sp(n.check,i,f,s-f)),f=l,n.wrap&4&&(n.flags?u:$A(u))!==n.check){e.msg="incorrect data check",n.mode=Dt;break}u=0,c=0}n.mode=DA;case DA:if(n.wrap&&n.flags){for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.total&4294967295)){e.msg="incorrect length check",n.mode=Dt;break}u=0,c=0}n.mode=LA;case LA:x=Zre;break e;case Dt:x=BN;break e;case UN:return zN;case jN:default:return Mi}return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,(n.wsize||f!==e.avail_out&&n.mode<Dt&&(n.mode<US||t!==pA))&&qN(e,e.output,e.next_out,f-e.avail_out),d-=e.avail_in,f-=e.avail_out,e.total_in+=d,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Rn(n.check,i,f,e.next_out-f):sp(n.check,i,f,e.next_out-f)),e.data_type=n.bits+(n.last?64:0)+(n.mode===is?128:0)+(n.mode===hm||n.mode===zS?256:0),(d===0&&f===0||t===pA)&&x===cu&&(x=Jre),x},lie=e=>{if(Cu(e))return Mi;let t=e.state;return t.window&&(t.window=null),e.state=null,cu},uie=(e,t)=>{if(Cu(e))return Mi;const n=e.state;return n.wrap&2?(n.head=t,t.done=!1,cu):Mi},cie=(e,t)=>{const n=t.length;let r,i,o;return Cu(e)||(r=e.state,r.wrap!==0&&r.mode!==ky)?Mi:r.mode===ky&&(i=1,i=sp(i,t,n,0),i!==r.check)?BN:(o=qN(e,t,n,n),o?(r.mode=UN,zN):(r.havedict=1,cu))};var die=GN,fie=HN,hie=VN,pie=oie,gie=WN,mie=aie,yie=lie,vie=uie,_ie=cie,bie="pako inflate (from Nodeca project)",vs={inflateReset:die,inflateReset2:fie,inflateResetKeep:hie,inflateInit:pie,inflateInit2:gie,inflate:mie,inflateEnd:yie,inflateGetHeader:vie,inflateSetDictionary:_ie,inflateInfo:bie};function Sie(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}var wie=Sie;const KN=Object.prototype.toString,{Z_NO_FLUSH:xie,Z_FINISH:Cie,Z_OK:up,Z_STREAM_END:GS,Z_NEED_DICT:HS,Z_STREAM_ERROR:Eie,Z_DATA_ERROR:BA,Z_MEM_ERROR:Tie}=sg;function lg(e){this.options=p1.assign({chunkSize:1024*64,windowBits:15,to:""},e||{});const 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t=e.reducerPath,n=e.context,r=e.context.endpointDefinitions,i=e.mutationThunk,o=e.api,s=e.assertTagType,a=e.refetchQuery,l=o.internalActions.removeQueryResult,u=Ni(ol(i),Xp(i)),c=function(f,h){u(f)&&d(yD(f,"invalidatesTags",r,s),h),o.util.invalidateTags.match(f)&&d(mD(f.payload,void 0,void 0,void 0,void 0,s),h)};function d(f,h){var p=h.getState(),m=p[t],b=o.util.selectInvalidatedBy(p,f);n.batch(function(){for(var _,y=Array.from(b.values()),g=0,v=y;g<v.length;g++){var S=v[g].queryCacheKey,w=m.queries[S],C=(_=m.subscriptions[S])!=null?_:{};w&&(Object.keys(C).length===0?h.dispatch(l({queryCacheKey:S})):w.status!==$t.uninitialized&&h.dispatch(a(w,S)))}})}return c},fse=function(e){var 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Either set keySeparator: false on init or make sure your translations are published in nested format.")}let E=[];const k=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&k&&k[0])for(let $=0;$<k.length;$++)E.push(k[$]);else this.options.saveMissingTo==="all"?E=this.languageUtils.toResolveHierarchy(n.lng||this.language):E.push(n.lng||this.language);const N=($,M,O)=>{const D=C&&O!==f?O:L;this.options.missingKeyHandler?this.options.missingKeyHandler($,l,M,D,R,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing($,l,M,D,R,n),this.emit("missingKey",$,l,M,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?E.forEach($=>{this.pluralResolver.getSuffixes($,n).forEach(M=>{N([$],s+M,n[`defaultValue${M}`]||T)})}):N(E,s,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(S||v)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,v?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):s.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=q$.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(b=>{this.isValidLookup(r)||(a=b,!h8[`${m[0]}-${b}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(h8[`${m[0]}-${b}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(_=>{if(this.isValidLookup(r))return;s=_;const y=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(y,c,_,b,n);else{let v;f&&(v=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(y.push(c+v),n.ordinal&&v.indexOf(w)===0&&y.push(c+v.replace(w,this.options.pluralSeparator)),h&&y.push(c+S)),p){const C=`${c}${this.options.contextSeparator}${n.context}`;y.push(C),f&&(y.push(C+v),n.ordinal&&v.indexOf(w)===0&&y.push(C+v.replace(w,this.options.pluralSeparator)),h&&y.push(C+S))}}let g;for(;g=y.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function u2(e){return e.charAt(0).toUpperCase()+e.slice(1)}class p8{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Do.create("languageUtils")}getScriptPartFromCode(t){if(t=Qy(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=Qy(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=u2(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=u2(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=u2(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let Khe=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],Xhe={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const Yhe=["v1","v2","v3"],Zhe=["v4"],g8={zero:0,one:1,two:2,few:3,many:4,other:5};function Qhe(){const e={};return Khe.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:Xhe[t.fc]}})}),e}class Jhe{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Do.create("pluralResolver"),(!this.options.compatibilityJSON||Zhe.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=Qhe()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(Qy(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>g8[i]-g8[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!Yhe.includes(this.options.compatibilityJSON)}}function m8(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Vhe(e,t,n);return!o&&i&&typeof n=="string"&&(o=Zy(e,n,r),o===void 0&&(o=Zy(t,n,r))),o}class epe{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Do.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Hhe,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?Zu(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?Zu(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?Zu(n.nestingPrefix):n.nestingPrefixEscaped||Zu("$t("),this.nestingSuffix=n.nestingSuffix?Zu(n.nestingSuffix):n.nestingSuffixEscaped||Zu(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(p){return p.replace(/\$/g,"$$$$")}const c=p=>{if(p.indexOf(this.formatSeparator)<0){const y=m8(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(y,void 0,r,{...i,...n,interpolationkey:p}):y}const m=p.split(this.formatSeparator),b=m.shift().trim(),_=m.join(this.formatSeparator).trim();return this.format(m8(n,l,b,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:b})};this.resetRegExp();const d=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,f=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:p=>u(p)},{regex:this.regexp,safeValue:p=>this.escapeValue?u(this.escape(p)):u(p)}].forEach(p=>{for(a=0;o=p.regex.exec(t);){const m=o[1].trim();if(s=c(m),s===void 0)if(typeof d=="function"){const _=d(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,m))s="";else if(f){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${m} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=c8(s));const b=p.safeValue(s);if(t=t.replace(o[0],b),f?(p.regex.lastIndex+=s.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${c}[ ]*{`));let f=`{${d[1]}`;l=d[0],f=this.interpolate(f,s);const h=f.match(/'/g),p=f.match(/"/g);(h&&h.length%2===0&&!p||p.length%2!==0)&&(f=f.replace(/'/g,'"'));try{s=JSON.parse(f),u&&(s={...u,...s})}catch(m){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,m),`${l}${c}${f}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const c=i[1].split(this.formatSeparator).map(d=>d.trim());i[1]=c.shift(),l=c,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=c8(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function tpe(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function Qu(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(Qy(i),o),t[s]=a),a(r)}}class npe{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Do.create("formatter"),this.options=t,this.formats={number:Qu((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:Qu((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:Qu((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:Qu((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:Qu((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=Qu(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=tpe(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function rpe(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class ipe extends H1{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=Do.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let c=!0;n.forEach(d=>{const f=`${u}|${d}`;!r.reload&&this.store.hasResourceBundle(u,d)?this.state[f]=2:this.state[f]<0||(this.state[f]===1?s[f]===void 0&&(s[f]=!0):(this.state[f]=1,c=!1,s[f]===void 0&&(s[f]=!0),o[f]===void 0&&(o[f]=!0),l[d]===void 0&&(l[d]=!0)))}),c||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{jhe(l.loaded,[o],s),rpe(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const c=l.loaded[u];c.length&&c.forEach(d=>{a[u][d]===void 0&&(a[u][d]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,c)=>{if(this.readingCalls--,this.waitingReads.length>0){const d=this.waitingReads.shift();this.read(d.lng,d.ns,d.fcName,d.tried,d.wait,d.callback)}if(u&&c&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,c)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(c=>a(null,c)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>a(null,d)).catch(a):a(null,c)}catch(c){a(c)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function y8(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function v8(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Om(){}function ope(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class bp extends H1{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=v8(t),this.services={},this.logger=Do,this.modules={external:[]},ope(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=y8();this.options={...i,...this.options,...v8(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?Do.init(o(this.modules.logger),this.options):Do.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=npe);const d=new p8(this.options);this.store=new f8(this.options.resources,this.options);const f=this.services;f.logger=Do,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new Jhe(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new epe(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new ipe(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.languageDetector&&(f.languageDetector=o(this.modules.languageDetector),f.languageDetector.init&&f.languageDetector.init(f,this.options.detection,this.options)),this.modules.i18nFormat&&(f.i18nFormat=o(this.modules.i18nFormat),f.i18nFormat.init&&f.i18nFormat.init(this)),this.translator=new Jy(this.services,this.options),this.translator.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.external.forEach(h=>{h.init&&h.init(this)})}if(this.format=this.options.interpolation.format,r||(r=Om),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const c=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);c.length>0&&c[0]!=="dev"&&(this.options.lng=c[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(c=>{this[c]=function(){return t.store[c](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(c=>{this[c]=function(){return t.store[c](...arguments),t}});const l=wf(),u=()=>{const c=(d,f)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&q$.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=wf();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([s,a].concat(c))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const f=i.options.keySeparator||".";let h;return l.keyPrefix&&Array.isArray(s)?h=s.map(p=>`${l.keyPrefix}${f}${p}`):h=l.keyPrefix?`${l.keyPrefix}${f}${s}`:s,i.t(h,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=wf();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=wf();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new p8(y8());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new bp(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 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U8=",",X0e="(",Y0e=")",Z0e="([",Q0e="])",J0e=";",eye="()",tye="=",j8=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],nye=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const rye=100;class 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n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=j8.length,r=this.setAttr,i,o,s=function(a){var 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n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var 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m_{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}As.HitContext=oye;Object.defineProperty(ao,"__esModule",{value:!0});ao.HitCanvas=ao.SceneCanvas=ao.Canvas=void 0;const ov=Yt,jF=As,VF=Le,sye=Ne,aye=be;var Rm;function lye(){if(Rm)return Rm;var e=ov.Util.createCanvasElement(),t=e.getContext("2d");return Rm=function(){var n=VF.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),ov.Util.releaseCanvas(e),Rm}class y_{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||VF.Konva.pixelRatio||lye();this.pixelRatio=r,this._canvas=ov.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return ov.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}ao.Canvas=y_;sye.Factory.addGetterSetter(y_,"pixelRatio",void 0,(0,aye.getNumberValidator)());class uye extends y_{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new jF.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}ao.SceneCanvas=uye;class cye extends y_{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new jF.HitContext(this),this.setSize(t.width,t.height)}}ao.HitCanvas=cye;var v_={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Le,n=Yt;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=a.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(v_);Object.defineProperty(Ut,"__esModule",{value:!0});Ut.Node=void 0;const Be=Yt,bg=Ne,Im=ao,Cl=Le,yi=v_,ln=be;var w0="absoluteOpacity",Mm="allEventListeners",fs="absoluteTransform",V8="absoluteScale",El="canvas",dye="Change",fye="children",hye="konva",Yx="listening",G8="mouseenter",H8="mouseleave",W8="set",q8="Shape",x0=" ",K8="stage",na="transform",pye="Stage",Zx="visible",gye=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(x0);let mye=1;class Te{constructor(t){this._id=mye++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===na||t===fs)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===na||t===fs,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(x0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(El)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===fs&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(El)){const{scene:t,filter:n,hit:r}=this._cache.get(El);Be.Util.releaseCanvas(t,n,r),this._cache.delete(El)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){Be.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Im.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Im.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Im.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(El),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(w0),this._clearSelfAndDescendantCache(V8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(El,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(El)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){Be.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(d){Be.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Mm),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(x0),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(x0),i=r.length,o,s,a,l,u,c;if(this._cache&&this._cache.delete(Mm),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(s in this.eventListeners)this._off(s,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=Be.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),yi.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(fs),this._clearSelfAndDescendantCache(w0),this._clearSelfAndDescendantCache(V8),this._clearSelfAndDescendantCache(K8),this._clearSelfAndDescendantCache(Zx),this._clearSelfAndDescendantCache(Yx)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+Be.Util._capitalize(t);return Be.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==fye&&(r=W8+Be.Util._capitalize(n),Be.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(Yx,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(Zx,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;yi.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Cl.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==q8&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==pye&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(na),this._clearSelfAndDescendantCache(fs)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new Be.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(na);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(na),this._clearSelfAndDescendantCache(fs),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return Be.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return Be.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return Be.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return Be.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return Be.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&Be.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(w0,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=Be.Util.isObject(i)&&!Be.Util._isPlainObject(i)&&!Be.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),Be.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],Be.Util.isValidSelector(o)||(Be.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),Be.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),Be.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(K8,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(fs,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new Be.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(fs)||new Be.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(na,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(na)||new Be.Transform;r.reset();var i=this.x(),o=this.y(),s=Cl.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||c!==0)&&r.skew(u,c),(a!==1||l!==1)&&r.scale(a,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=Be.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(hye)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new Im.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,Be.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():Cl.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+dye,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[W8+Be.Util._capitalize(t)];return Be.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(Cl.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!Be.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===q8&&(n.target=this);var i=(t===G8||t===H8)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===G8||t===H8)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Mm))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(Mm,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;yi.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){yi.DD._dragElements.has(this._id)||this._createDragElement(t);const r=yi.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:Be.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=yi.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),yi.DD._endDragBefore(t),yi.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=yi.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||Cl.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;yi.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=yi.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&yi.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return Be.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return Be.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=Te.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Cl.Konva[r]||(Be.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Cl.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(Te._createNode(i[a]));return o}}Ut.Node=Te;Te.prototype.nodeType="Node";Te.prototype._attrsAffectingSize=[];Te.prototype.eventListeners={};Te.prototype.on.call(Te.prototype,gye,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(na),this._clearSelfAndDescendantCache(fs)});Te.prototype.on.call(Te.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(Zx)});Te.prototype.on.call(Te.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(Yx)});Te.prototype.on.call(Te.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(w0)});const yt=bg.Factory.addGetterSetter;yt(Te,"zIndex");yt(Te,"absolutePosition");yt(Te,"position");yt(Te,"x",0,(0,ln.getNumberValidator)());yt(Te,"y",0,(0,ln.getNumberValidator)());yt(Te,"globalCompositeOperation","source-over",(0,ln.getStringValidator)());yt(Te,"opacity",1,(0,ln.getNumberValidator)());yt(Te,"name","",(0,ln.getStringValidator)());yt(Te,"id","",(0,ln.getStringValidator)());yt(Te,"rotation",0,(0,ln.getNumberValidator)());bg.Factory.addComponentsGetterSetter(Te,"scale",["x","y"]);yt(Te,"scaleX",1,(0,ln.getNumberValidator)());yt(Te,"scaleY",1,(0,ln.getNumberValidator)());bg.Factory.addComponentsGetterSetter(Te,"skew",["x","y"]);yt(Te,"skewX",0,(0,ln.getNumberValidator)());yt(Te,"skewY",0,(0,ln.getNumberValidator)());bg.Factory.addComponentsGetterSetter(Te,"offset",["x","y"]);yt(Te,"offsetX",0,(0,ln.getNumberValidator)());yt(Te,"offsetY",0,(0,ln.getNumberValidator)());yt(Te,"dragDistance",null,(0,ln.getNumberValidator)());yt(Te,"width",0,(0,ln.getNumberValidator)());yt(Te,"height",0,(0,ln.getNumberValidator)());yt(Te,"listening",!0,(0,ln.getBooleanValidator)());yt(Te,"preventDefault",!0,(0,ln.getBooleanValidator)());yt(Te,"filters",null,function(e){return this._filterUpToDate=!1,e});yt(Te,"visible",!0,(0,ln.getBooleanValidator)());yt(Te,"transformsEnabled","all",(0,ln.getStringValidator)());yt(Te,"size");yt(Te,"dragBoundFunc");yt(Te,"draggable",!1,(0,ln.getBooleanValidator)());bg.Factory.backCompat(Te,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var Tu={};Object.defineProperty(Tu,"__esModule",{value:!0});Tu.Container=void 0;const Vd=Ne,v2=Ut,__=be;class Au extends v2.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=v2.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=v2.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(b){b[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}Tu.Container=Au;Vd.Factory.addComponentsGetterSetter(Au,"clip",["x","y","width","height"]);Vd.Factory.addGetterSetter(Au,"clipX",void 0,(0,__.getNumberValidator)());Vd.Factory.addGetterSetter(Au,"clipY",void 0,(0,__.getNumberValidator)());Vd.Factory.addGetterSetter(Au,"clipWidth",void 0,(0,__.getNumberValidator)());Vd.Factory.addGetterSetter(Au,"clipHeight",void 0,(0,__.getNumberValidator)());Vd.Factory.addGetterSetter(Au,"clipFunc");var GF={},ei={};Object.defineProperty(ei,"__esModule",{value:!0});ei.releaseCapture=ei.setPointerCapture=ei.hasPointerCapture=ei.createEvent=ei.getCapturedShape=void 0;const yye=Le,wp=new Map,HF=yye.Konva._global.PointerEvent!==void 0;function vye(e){return wp.get(e)}ei.getCapturedShape=vye;function yE(e){return{evt:e,pointerId:e.pointerId}}ei.createEvent=yE;function _ye(e,t){return wp.get(e)===t}ei.hasPointerCapture=_ye;function bye(e,t){WF(e),t.getStage()&&(wp.set(e,t),HF&&t._fire("gotpointercapture",yE(new PointerEvent("gotpointercapture"))))}ei.setPointerCapture=bye;function WF(e,t){const n=wp.get(e);if(!n)return;const r=n.getStage();r&&r.content,wp.delete(e),HF&&n._fire("lostpointercapture",yE(new PointerEvent("lostpointercapture")))}ei.releaseCapture=WF;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Yt,n=Ne,r=Tu,i=Le,o=ao,s=v_,a=Le,l=ei;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",b="mousemove",_="mousedown",y="mouseup",g="pointermove",v="pointerdown",S="pointerup",w="pointercancel",C="lostpointercapture",x="pointerout",A="pointerleave",T="pointerover",P="pointerenter",L="contextmenu",R="touchstart",E="touchend",k="touchmove",N="touchcancel",$="wheel",M=5,O=[[m,"_pointerenter"],[_,"_pointerdown"],[b,"_pointermove"],[y,"_pointerup"],[h,"_pointerleave"],[R,"_pointerdown"],[k,"_pointermove"],[E,"_pointerup"],[N,"_pointercancel"],[p,"_pointerover"],[$,"_wheel"],[L,"_contextmenu"],[v,"_pointerdown"],[g,"_pointermove"],[S,"_pointerup"],[w,"_pointercancel"],[C,"_lostpointercapture"]];const D={mouse:{[x]:f,[A]:h,[T]:p,[P]:m,[g]:b,[v]:_,[S]:y,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[x]:"touchout",[A]:"touchleave",[T]:"touchover",[P]:"touchenter",[g]:k,[v]:R,[S]:E,[w]:N,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[x]:x,[A]:A,[T]:T,[P]:P,[g]:g,[v]:v,[S]:S,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},F=Z=>Z.indexOf("pointer")>=0?"pointer":Z.indexOf("touch")>=0?"touch":"mouse",U=Z=>{const z=F(Z);if(z==="pointer")return i.Konva.pointerEventsEnabled&&D.pointer;if(z==="touch")return D.touch;if(z==="mouse")return D.mouse};function V(Z={}){return(Z.clipFunc||Z.clipWidth||Z.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Z}const q="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class X extends r.Container{constructor(z){super(V(z)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(z){const W=z.getType()==="Layer",Q=z.getType()==="FastLayer";W||Q||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const z=this.visible()?"":"none";this.content.style.display=z}setContainer(z){if(typeof z===c){if(z.charAt(0)==="."){var W=z.slice(1);z=document.getElementsByClassName(W)[0]}else{var Q;z.charAt(0)!=="#"?Q=z:Q=z.slice(1),z=document.getElementById(Q)}if(!z)throw"Can not find container in document with id "+Q}return this._setAttr("container",z),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),z.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var z=this.children,W=z.length,Q;for(Q=0;Q<W;Q++)z[Q].clear();return this}clone(z){return z||(z={}),z.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,z)}destroy(){super.destroy();var z=this.content;z&&t.Util._isInDocument(z)&&this.container().removeChild(z);var W=e.stages.indexOf(this);return W>-1&&e.stages.splice(W,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const z=this._pointerPositions[0]||this._changedPointerPositions[0];return z?{x:z.x,y:z.y}:(t.Util.warn(q),null)}_getPointerById(z){return this._pointerPositions.find(W=>W.id===z)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(z){z=z||{},z.x=z.x||0,z.y=z.y||0,z.width=z.width||this.width(),z.height=z.height||this.height();var W=new o.SceneCanvas({width:z.width,height:z.height,pixelRatio:z.pixelRatio||1}),Q=W.getContext()._context,J=this.children;return(z.x||z.y)&&Q.translate(-1*z.x,-1*z.y),J.forEach(function(se){if(se.isVisible()){var oe=se._toKonvaCanvas(z);Q.drawImage(oe._canvas,z.x,z.y,oe.getWidth()/oe.getPixelRatio(),oe.getHeight()/oe.getPixelRatio())}}),W}getIntersection(z){if(!z)return null;var W=this.children,Q=W.length,J=Q-1,se;for(se=J;se>=0;se--){const oe=W[se].getIntersection(z);if(oe)return oe}return null}_resizeDOM(){var z=this.width(),W=this.height();this.content&&(this.content.style.width=z+d,this.content.style.height=W+d),this.bufferCanvas.setSize(z,W),this.bufferHitCanvas.setSize(z,W),this.children.forEach(Q=>{Q.setSize({width:z,height:W}),Q.draw()})}add(z,...W){if(arguments.length>1){for(var Q=0;Q<arguments.length;Q++)this.add(arguments[Q]);return this}super.add(z);var J=this.children.length;return J>M&&t.Util.warn("The stage has "+J+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),z.setSize({width:this.width(),height:this.height()}),z.draw(),i.Konva.isBrowser&&this.content.appendChild(z.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(z){return l.hasPointerCapture(z,this)}setPointerCapture(z){l.setPointerCapture(z,this)}releaseCapture(z){l.releaseCapture(z,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&O.forEach(([z,W])=>{this.content.addEventListener(z,Q=>{this[W](Q)},{passive:!1})})}_pointerenter(z){this.setPointersPositions(z);const W=U(z.type);this._fire(W.pointerenter,{evt:z,target:this,currentTarget:this})}_pointerover(z){this.setPointersPositions(z);const W=U(z.type);this._fire(W.pointerover,{evt:z,target:this,currentTarget:this})}_getTargetShape(z){let W=this[z+"targetShape"];return W&&!W.getStage()&&(W=null),W}_pointerleave(z){const W=U(z.type),Q=F(z.type);if(W){this.setPointersPositions(z);var J=this._getTargetShape(Q),se=!s.DD.isDragging||i.Konva.hitOnDragEnabled;J&&se?(J._fireAndBubble(W.pointerout,{evt:z}),J._fireAndBubble(W.pointerleave,{evt:z}),this._fire(W.pointerleave,{evt:z,target:this,currentTarget:this}),this[Q+"targetShape"]=null):se&&(this._fire(W.pointerleave,{evt:z,target:this,currentTarget:this}),this._fire(W.pointerout,{evt:z,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(z){const W=U(z.type),Q=F(z.type);if(W){this.setPointersPositions(z);var J=!1;this._changedPointerPositions.forEach(se=>{var oe=this.getIntersection(se);if(s.DD.justDragged=!1,i.Konva["_"+Q+"ListenClick"]=!0,!(oe&&oe.isListening()))return;i.Konva.capturePointerEventsEnabled&&oe.setPointerCapture(se.id),this[Q+"ClickStartShape"]=oe,oe._fireAndBubble(W.pointerdown,{evt:z,pointerId:se.id}),J=!0;const Ae=z.type.indexOf("touch")>=0;oe.preventDefault()&&z.cancelable&&Ae&&z.preventDefault()}),J||this._fire(W.pointerdown,{evt:z,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(z){const W=U(z.type),Q=F(z.type);if(!W)return;s.DD.isDragging&&s.DD.node.preventDefault()&&z.cancelable&&z.preventDefault(),this.setPointersPositions(z);var J=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!J)return;var se={};let oe=!1;var Me=this._getTargetShape(Q);this._changedPointerPositions.forEach(Ae=>{const _e=l.getCapturedShape(Ae.id)||this.getIntersection(Ae),je=Ae.id,he={evt:z,pointerId:je};var It=Me!==_e;if(It&&Me&&(Me._fireAndBubble(W.pointerout,Object.assign({},he),_e),Me._fireAndBubble(W.pointerleave,Object.assign({},he),_e)),_e){if(se[_e._id])return;se[_e._id]=!0}_e&&_e.isListening()?(oe=!0,It&&(_e._fireAndBubble(W.pointerover,Object.assign({},he),Me),_e._fireAndBubble(W.pointerenter,Object.assign({},he),Me),this[Q+"targetShape"]=_e),_e._fireAndBubble(W.pointermove,Object.assign({},he))):Me&&(this._fire(W.pointerover,{evt:z,target:this,currentTarget:this,pointerId:je}),this[Q+"targetShape"]=null)}),oe||this._fire(W.pointermove,{evt:z,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(z){const W=U(z.type),Q=F(z.type);if(!W)return;this.setPointersPositions(z);const J=this[Q+"ClickStartShape"],se=this[Q+"ClickEndShape"];var oe={};let Me=!1;this._changedPointerPositions.forEach(Ae=>{const _e=l.getCapturedShape(Ae.id)||this.getIntersection(Ae);if(_e){if(_e.releaseCapture(Ae.id),oe[_e._id])return;oe[_e._id]=!0}const je=Ae.id,he={evt:z,pointerId:je};let It=!1;i.Konva["_"+Q+"InDblClickWindow"]?(It=!0,clearTimeout(this[Q+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+Q+"InDblClickWindow"]=!0,clearTimeout(this[Q+"DblTimeout"])),this[Q+"DblTimeout"]=setTimeout(function(){i.Konva["_"+Q+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),_e&&_e.isListening()?(Me=!0,this[Q+"ClickEndShape"]=_e,_e._fireAndBubble(W.pointerup,Object.assign({},he)),i.Konva["_"+Q+"ListenClick"]&&J&&J===_e&&(_e._fireAndBubble(W.pointerclick,Object.assign({},he)),It&&se&&se===_e&&_e._fireAndBubble(W.pointerdblclick,Object.assign({},he)))):(this[Q+"ClickEndShape"]=null,i.Konva["_"+Q+"ListenClick"]&&this._fire(W.pointerclick,{evt:z,target:this,currentTarget:this,pointerId:je}),It&&this._fire(W.pointerdblclick,{evt:z,target:this,currentTarget:this,pointerId:je}))}),Me||this._fire(W.pointerup,{evt:z,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+Q+"ListenClick"]=!1,z.cancelable&&Q!=="touch"&&z.preventDefault()}_contextmenu(z){this.setPointersPositions(z);var W=this.getIntersection(this.getPointerPosition());W&&W.isListening()?W._fireAndBubble(L,{evt:z}):this._fire(L,{evt:z,target:this,currentTarget:this})}_wheel(z){this.setPointersPositions(z);var W=this.getIntersection(this.getPointerPosition());W&&W.isListening()?W._fireAndBubble($,{evt:z}):this._fire($,{evt:z,target:this,currentTarget:this})}_pointercancel(z){this.setPointersPositions(z);const W=l.getCapturedShape(z.pointerId)||this.getIntersection(this.getPointerPosition());W&&W._fireAndBubble(S,l.createEvent(z)),l.releaseCapture(z.pointerId)}_lostpointercapture(z){l.releaseCapture(z.pointerId)}setPointersPositions(z){var W=this._getContentPosition(),Q=null,J=null;z=z||window.event,z.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(z.touches,se=>{this._pointerPositions.push({id:se.identifier,x:(se.clientX-W.left)/W.scaleX,y:(se.clientY-W.top)/W.scaleY})}),Array.prototype.forEach.call(z.changedTouches||z.touches,se=>{this._changedPointerPositions.push({id:se.identifier,x:(se.clientX-W.left)/W.scaleX,y:(se.clientY-W.top)/W.scaleY})})):(Q=(z.clientX-W.left)/W.scaleX,J=(z.clientY-W.top)/W.scaleY,this.pointerPos={x:Q,y:J},this._pointerPositions=[{x:Q,y:J,id:t.Util._getFirstPointerId(z)}],this._changedPointerPositions=[{x:Q,y:J,id:t.Util._getFirstPointerId(z)}])}_setPointerPosition(z){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(z)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var z=this.content.getBoundingClientRect();return{top:z.top,left:z.left,scaleX:z.width/this.content.clientWidth||1,scaleY:z.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var z=this.container();if(!z)throw"Stage has no container. A container is required.";z.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),z.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(z){z.batchDraw()}),this}}e.Stage=X,X.prototype.nodeType=u,(0,a._registerNode)(X),n.Factory.addGetterSetter(X,"container")})(GF);var Sg={},Cn={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Le,n=Yt,r=Ne,i=Ut,o=be,s=Le,a=ei;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function y(A){A.stroke()}function g(){this._clearCache(l)}function v(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function C(){this._clearCache(f)}class x extends i.Node{constructor(T){super(T);let P;for(;P=n.Util.getRandomColor(),!(P&&!(P in e.shapes)););this.colorKey=P,e.shapes[P]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const P=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(P&&P.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const R=L.getMatrix(),E=typeof DOMMatrix>"u"?{a:R[0],b:R[1],c:R[2],d:R[3],e:R[4],f:R[5]}:new DOMMatrix(R);P.setTransform(E)}return P}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var P=p(),L=this.fillLinearGradientStartPoint(),R=this.fillLinearGradientEndPoint(),E=P.createLinearGradient(L.x,L.y,R.x,R.y),k=0;k<T.length;k+=2)E.addColorStop(T[k],T[k+1]);return E}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var T=this.fillRadialGradientColorStops();if(T){for(var P=p(),L=this.fillRadialGradientStartPoint(),R=this.fillRadialGradientEndPoint(),E=P.createRadialGradient(L.x,L.y,this.fillRadialGradientStartRadius(),R.x,R.y,this.fillRadialGradientEndRadius()),k=0;k<T.length;k+=2)E.addColorStop(T[k],T[k+1]);return E}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var T=n.Util.colorToRGBA(this.shadowColor());if(T)return"rgba("+T.r+","+T.g+","+T.b+","+T.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var P=this.getStage(),L=P.bufferHitCanvas,R;return L.getContext().clear(),this.drawHit(L,null,!0),R=L.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,R[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var P;if(!this.getStage()||!((P=this.attrs.perfectDrawEnabled)!==null&&P!==void 0?P:!0))return!1;const R=T||this.hasFill(),E=this.hasStroke(),k=this.getAbsoluteOpacity()!==1;if(R&&E&&k)return!0;const N=this.hasShadow(),$=this.shadowForStrokeEnabled();return!!(R&&E&&N&&$)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const P=T.skipTransform,L=T.relativeTo,R=this.getSelfRect(),k=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,N=R.width+k,$=R.height+k,M=!T.skipShadow&&this.hasShadow(),O=M?this.shadowOffsetX():0,D=M?this.shadowOffsetY():0,F=N+Math.abs(O),U=$+Math.abs(D),V=M&&this.shadowBlur()||0,q=F+V*2,X=U+V*2,Z={width:q,height:X,x:-(k/2+V)+Math.min(O,0)+R.x,y:-(k/2+V)+Math.min(D,0)+R.y};return P?Z:this._transformedRect(Z,L)}drawScene(T,P){var L=this.getLayer(),R=T||L.getCanvas(),E=R.getContext(),k=this._getCanvasCache(),N=this.getSceneFunc(),$=this.hasShadow(),M,O,D,F=R.isCache,U=P===this;if(!this.isVisible()&&!U)return this;if(k){E.save();var V=this.getAbsoluteTransform(P).getMatrix();return E.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(E),E.restore(),this}if(!N)return this;if(E.save(),this._useBufferCanvas()&&!F){M=this.getStage(),O=M.bufferCanvas,D=O.getContext(),D.clear(),D.save(),D._applyLineJoin(this);var q=this.getAbsoluteTransform(P).getMatrix();D.transform(q[0],q[1],q[2],q[3],q[4],q[5]),N.call(this,D,this),D.restore();var X=O.pixelRatio;$&&E._applyShadow(this),E._applyOpacity(this),E._applyGlobalCompositeOperation(this),E.drawImage(O._canvas,0,0,O.width/X,O.height/X)}else{if(E._applyLineJoin(this),!U){var q=this.getAbsoluteTransform(P).getMatrix();E.transform(q[0],q[1],q[2],q[3],q[4],q[5]),E._applyOpacity(this),E._applyGlobalCompositeOperation(this)}$&&E._applyShadow(this),N.call(this,E,this)}return E.restore(),this}drawHit(T,P,L=!1){if(!this.shouldDrawHit(P,L))return this;var R=this.getLayer(),E=T||R.hitCanvas,k=E&&E.getContext(),N=this.hitFunc()||this.sceneFunc(),$=this._getCanvasCache(),M=$&&$.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),M){k.save();var O=this.getAbsoluteTransform(P).getMatrix();return k.transform(O[0],O[1],O[2],O[3],O[4],O[5]),this._drawCachedHitCanvas(k),k.restore(),this}if(!N)return this;if(k.save(),k._applyLineJoin(this),!(this===P)){var F=this.getAbsoluteTransform(P).getMatrix();k.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return N.call(this,k,this),k.restore(),this}drawHitFromCache(T=0){var P=this._getCanvasCache(),L=this._getCachedSceneCanvas(),R=P.hit,E=R.getContext(),k=R.getWidth(),N=R.getHeight(),$,M,O,D,F,U;E.clear(),E.drawImage(L._canvas,0,0,k,N);try{for($=E.getImageData(0,0,k,N),M=$.data,O=M.length,D=n.Util._hexToRgb(this.colorKey),F=0;F<O;F+=4)U=M[F+3],U>T?(M[F]=D.r,M[F+1]=D.g,M[F+2]=D.b,M[F+3]=255):M[F+3]=0;E.putImageData($,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=x,x.prototype._fillFunc=m,x.prototype._strokeFunc=b,x.prototype._fillFuncHit=_,x.prototype._strokeFuncHit=y,x.prototype._centroid=!1,x.prototype.nodeType="Shape",(0,s._registerNode)(x),x.prototype.eventListeners={},x.prototype.on.call(x.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),x.prototype.on.call(x.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",v),x.prototype.on.call(x.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),x.prototype.on.call(x.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),x.prototype.on.call(x.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",C),r.Factory.addGetterSetter(x,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(x,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(x,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(x,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(x,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(x,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(x,"lineJoin"),r.Factory.addGetterSetter(x,"lineCap"),r.Factory.addGetterSetter(x,"sceneFunc"),r.Factory.addGetterSetter(x,"hitFunc"),r.Factory.addGetterSetter(x,"dash"),r.Factory.addGetterSetter(x,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(x,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(x,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(x,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternImage"),r.Factory.addGetterSetter(x,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(x,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(x,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(x,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(x,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(x,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(x,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(x,"fillEnabled",!0),r.Factory.addGetterSetter(x,"strokeEnabled",!0),r.Factory.addGetterSetter(x,"shadowEnabled",!0),r.Factory.addGetterSetter(x,"dashEnabled",!0),r.Factory.addGetterSetter(x,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(x,"fillPriority","color"),r.Factory.addComponentsGetterSetter(x,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(x,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(x,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(x,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(x,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(x,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(x,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(x,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(x,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(x,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(x,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(x,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(x,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(x,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(x,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(x,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(x,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(x,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(x,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(x,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(x,"fillPatternRotation",0),r.Factory.addGetterSetter(x,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(x,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(Cn);Object.defineProperty(Sg,"__esModule",{value:!0});Sg.Layer=void 0;const as=Yt,_2=Tu,ec=Ut,vE=Ne,X8=ao,Sye=be,wye=Cn,xye=Le;var Cye="#",Eye="beforeDraw",Tye="draw",qF=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Aye=qF.length;class Gd extends _2.Container{constructor(t){super(t),this.canvas=new X8.SceneCanvas,this.hitCanvas=new X8.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){ec.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=ec.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(ec.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(ec.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return ec.Node.prototype.remove.call(this),t&&t.parentNode&&as.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&as.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),ec.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){as.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){as.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,as.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<Aye;i++){const o=qF[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=as.Util._rgbToHex(r[0],r[1],r[2]),s=wye.shapes[Cye+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Eye,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),_2.Container.prototype.drawScene.call(this,i,n),this._fire(Tye,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),_2.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){as.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return as.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return as.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Sg.Layer=Gd;Gd.prototype.nodeType="Layer";(0,xye._registerNode)(Gd);vE.Factory.addGetterSetter(Gd,"imageSmoothingEnabled",!0);vE.Factory.addGetterSetter(Gd,"clearBeforeDraw",!0);vE.Factory.addGetterSetter(Gd,"hitGraphEnabled",!0,(0,Sye.getBooleanValidator)());var b_={};Object.defineProperty(b_,"__esModule",{value:!0});b_.FastLayer=void 0;const kye=Yt,Pye=Sg,Oye=Le;class _E extends Pye.Layer{constructor(t){super(t),this.listening(!1),kye.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}b_.FastLayer=_E;_E.prototype.nodeType="FastLayer";(0,Oye._registerNode)(_E);var Hd={};Object.defineProperty(Hd,"__esModule",{value:!0});Hd.Group=void 0;const Rye=Yt,Iye=Tu,Mye=Le;class bE extends Iye.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Rye.Util.throw("You may only add groups and shapes to groups.")}}Hd.Group=bE;bE.prototype.nodeType="Group";(0,Mye._registerNode)(bE);var Wd={};Object.defineProperty(Wd,"__esModule",{value:!0});Wd.Animation=void 0;const b2=Le,Y8=Yt;var S2=function(){return b2.glob.performance&&b2.glob.performance.now?function(){return b2.glob.performance.now()}:function(){return new Date().getTime()}}();class Ro{constructor(t,n){this.id=Ro.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:S2(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=Ro,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=S2(),Ro._addAnimation(this),this}stop(){return Ro._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,c,d;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(S2()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=Ro;t.animations.length?(t._runFrames(),Y8.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,Y8.Util.requestAnimFrame(this._animationLoop))}}Wd.Animation=Ro;Ro.animations=[];Ro.animIdCounter=0;Ro.animRunning=!1;var KF={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Yt,n=Wd,r=Ut,i=Le;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,b,_,y,g,v){this.prop=p,this.propFunc=m,this.begin=_,this._pos=_,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=v,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=b,this._change=y-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,b=p.node,_=b._id,y,g=p.easing||e.Easings.Linear,v=!!p.yoyo,S;typeof p.duration>"u"?y=.3:p.duration===0?y=.001:y=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(C){m._tweenFunc(C)},g,0,1,y*1e3,v),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,y,g,v,S,w,C,x,A;if(v=f.tweens[_][p],v&&delete f.attrs[_][v][p],y=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,y.length),p==="points"&&m.length!==y.length&&(m.length>y.length?(x=y,y=t.Util._prepareArrayForTween(y,m,b.closed())):(C=m,m=t.Util._prepareArrayForTween(m,y,b.closed()))),p.indexOf("fill")===0)for(S=0;S<w;S++)if(S%2===0)g.push(m[S]-y[S]);else{var T=t.Util.colorToRGBA(y[S]);A=t.Util.colorToRGBA(m[S]),y[S]=T,g.push({r:A.r-T.r,g:A.g-T.g,b:A.b-T.b,a:A.a-T.a})}else for(S=0;S<w;S++)g.push(m[S]-y[S]);else c.indexOf(p)!==-1?(y=t.Util.colorToRGBA(y),A=t.Util.colorToRGBA(m),g={r:A.r-y.r,g:A.g-y.g,b:A.b-y.b,a:A.a-y.a}):g=m-y;f.attrs[_][this._id][p]={start:y,diff:g,end:m,trueEnd:C,trueStart:x},f.tweens[_][p]=this._id}_tweenFunc(p){var m=this.node,b=f.attrs[m._id][this._id],_,y,g,v,S,w,C,x;for(_ in b){if(y=b[_],g=y.start,v=y.diff,x=y.end,t.Util._isArray(g))if(S=[],C=Math.max(g.length,x.length),_.indexOf("fill")===0)for(w=0;w<C;w++)w%2===0?S.push((g[w]||0)+v[w]*p):S.push("rgba("+Math.round(g[w].r+v[w].r*p)+","+Math.round(g[w].g+v[w].g*p)+","+Math.round(g[w].b+v[w].b*p)+","+(g[w].a+v[w].a*p)+")");else for(w=0;w<C;w++)S.push((g[w]||0)+v[w]*p);else c.indexOf(_)!==-1?S="rgba("+Math.round(g.r+v.r*p)+","+Math.round(g.g+v.g*p)+","+Math.round(g.b+v.b*p)+","+(g.a+v.a*p)+")":S=g+v*p;m.setAttr(_,S)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),-(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y))+p)},ElasticEaseOut(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),_*Math.pow(2,-10*h)*Math.sin((h*b-g)*(2*Math.PI)/y)+m+p)},ElasticEaseInOut(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b/2)===2?p+m:(y||(y=b*(.3*1.5)),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),h<1?-.5*(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y))+p:_*Math.pow(2,-10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y)*.5+m+p)},BounceEaseOut(h,p,m,b){return(h/=b)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,b){return m-e.Easings.BounceEaseOut(b-h,0,m,b)+p},BounceEaseInOut(h,p,m,b){return h<b/2?e.Easings.BounceEaseIn(h*2,0,m,b)*.5+p:e.Easings.BounceEaseOut(h*2-b,0,m,b)*.5+m*.5+p},EaseIn(h,p,m,b){return m*(h/=b)*h+p},EaseOut(h,p,m,b){return-m*(h/=b)*(h-2)+p},EaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,b){return m*(h/=b)*h*h*h*h+p},StrongEaseOut(h,p,m,b){return m*((h=h/b-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,b){return m*h/b+p}}})(KF);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=Le,n=Yt,r=Ut,i=Tu,o=GF,s=Sg,a=b_,l=Hd,u=v_,c=Cn,d=Wd,f=KF,h=As,p=ao;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(zF);var S_={};Object.defineProperty(S_,"__esModule",{value:!0});S_.Arc=void 0;const w_=Ne,Nye=Cn,Z8=Le,x_=be,Dye=Le;class Ws extends Nye.Shape{_sceneFunc(t){var n=Z8.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return 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a=s[0],l=s[1],u=s[2],c=s[3],d=s[4],f=s[5],h=s[6],p=s[7],m=u>c?u:c,b=u>c?1:u/c,_=u>c?c/u:1;t.translate(a,l),t.rotate(h),t.scale(b,_),t.arc(0,0,m,d,d+f,1-p),t.scale(1/b,1/_),t.rotate(-h),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var c=u.points[4],d=u.points[5],f=u.points[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),d<0)for(let p=c-h;p>f;p-=h){const m=yn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}else for(let p=c+h;p<f;p+=h){const m=yn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}}else if(u.command==="C")for(let p=0;p<=1;p+=.01){const m=yn.getPointOnCubicBezier(p,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(m.x,m.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return yn.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return yn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return yn.getPointOnCubicBezier((0,tc.t2length)(t,yn.getPathLength(n),m=>(0,tc.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return yn.getPointOnQuadraticBezier((0,tc.t2length)(t,yn.getPathLength(n),m=>(0,tc.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,yn.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:s,y:a+c};else if((a-r)/(s-n+1e-8)===l)d={x:s+u,y:a+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(s-n)*(i-n)+(a-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var b=this.getLineLength(s,a,f,h),_=Math.sqrt(t*t-b*b);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function c(b){return b*b*b}function d(b){return 3*b*b*(1-b)}function f(b){return 3*b*(1-b)*(1-b)}function h(b){return(1-b)*(1-b)*(1-b)}var p=l*c(t)+s*d(t)+i*f(t)+n*h(t),m=u*c(t)+a*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=s*l(t)+i*u(t)+n*c(t),f=a*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),a.length=0;d=c.exec(f);)a.push(d[0]);for(var p=[],m=0,b=a.length;m<b;m++){if(a[m]==="00"){p.push(0,0);continue}var _=parseFloat(a[m]);isNaN(_)?p.push(0):p.push(_)}for(;p.length>0&&!isNaN(p[0]);){var y=null,g=[],v=l,S=u,w,C,x,A,T,P,L,R,E,k;switch(h){case"l":l+=p.shift(),u+=p.shift(),y="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var N=p.shift(),$=p.shift();if(l+=N,u+=$,y="M",s.length>2&&s[s.length-1].command==="z"){for(var M=s.length-2;M>=0;M--)if(s[M].command==="M"){l=s[M].points[0]+N,u=s[M].points[1]+$;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),y="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),y="L",g.push(l,u);break;case"H":l=p.shift(),y="L",g.push(l,u);break;case"v":u+=p.shift(),y="L",g.push(l,u);break;case"V":u=p.shift(),y="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"S":C=l,x=u,w=s[s.length-1],w.command==="C"&&(C=l+(l-w.points[2]),x=u+(u-w.points[3])),g.push(C,x,p.shift(),p.shift()),l=p.shift(),u=p.shift(),y="C",g.push(l,u);break;case"s":C=l,x=u,w=s[s.length-1],w.command==="C"&&(C=l+(l-w.points[2]),x=u+(u-w.points[3])),g.push(C,x,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="Q",g.push(l,u);break;case"T":C=l,x=u,w=s[s.length-1],w.command==="Q"&&(C=l+(l-w.points[0]),x=u+(u-w.points[1])),l=p.shift(),u=p.shift(),y="Q",g.push(C,x,l,u);break;case"t":C=l,x=u,w=s[s.length-1],w.command==="Q"&&(C=l+(l-w.points[0]),x=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),y="Q",g.push(C,x,l,u);break;case"A":A=p.shift(),T=p.shift(),P=p.shift(),L=p.shift(),R=p.shift(),E=l,k=u,l=p.shift(),u=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,k,l,u,L,R,A,T,P);break;case"a":A=p.shift(),T=p.shift(),P=p.shift(),L=p.shift(),R=p.shift(),E=l,k=u,l+=p.shift(),u+=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,k,l,u,L,R,A,T,P);break}s.push({command:y||h,points:g,start:{x:v,y:S},pathLength:this.calcLength(v,S,y||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=yn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,tc.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,tc.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l<f;l+=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(a*a)+f*f/(l*l);h>1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,y=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},v=function(T,P){return(T[0]*P[0]+T[1]*P[1])/(g(T)*g(P))},S=function(T,P){return(T[0]*P[1]<T[1]*P[0]?-1:1)*Math.acos(v(T,P))},w=S([1,0],[(d-m)/a,(f-b)/l]),C=[(d-m)/a,(f-b)/l],x=[(-1*d-m)/a,(-1*f-b)/l],A=S(C,x);return v(C,x)<=-1&&(A=Math.PI),v(C,x)>=1&&(A=0),s===0&&A>0&&(A=A-2*Math.PI),s===1&&A<0&&(A=A+2*Math.PI),[_,y,a,l,w,A,c,s]}}qd.Path=yn;yn.prototype.className="Path";yn.prototype._attrsAffectingSize=["data"];(0,zye._registerNode)(yn);Fye.Factory.addGetterSetter(yn,"data");Object.defineProperty(C_,"__esModule",{value:!0});C_.Arrow=void 0;const T_=Ne,Uye=wg,ZF=be,jye=Le,J8=qd;class ku extends Uye.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=J8.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=J8.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}C_.Arrow=ku;ku.prototype.className="Arrow";(0,jye._registerNode)(ku);T_.Factory.addGetterSetter(ku,"pointerLength",10,(0,ZF.getNumberValidator)());T_.Factory.addGetterSetter(ku,"pointerWidth",10,(0,ZF.getNumberValidator)());T_.Factory.addGetterSetter(ku,"pointerAtBeginning",!1);T_.Factory.addGetterSetter(ku,"pointerAtEnding",!0);var A_={};Object.defineProperty(A_,"__esModule",{value:!0});A_.Circle=void 0;const Vye=Ne,Gye=Cn,Hye=be,Wye=Le;let Kd=class extends Gye.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};A_.Circle=Kd;Kd.prototype._centroid=!0;Kd.prototype.className="Circle";Kd.prototype._attrsAffectingSize=["radius"];(0,Wye._registerNode)(Kd);Vye.Factory.addGetterSetter(Kd,"radius",0,(0,Hye.getNumberValidator)());var k_={};Object.defineProperty(k_,"__esModule",{value:!0});k_.Ellipse=void 0;const SE=Ne,qye=Cn,QF=be,Kye=Le;class cl extends qye.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}k_.Ellipse=cl;cl.prototype.className="Ellipse";cl.prototype._centroid=!0;cl.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,Kye._registerNode)(cl);SE.Factory.addComponentsGetterSetter(cl,"radius",["x","y"]);SE.Factory.addGetterSetter(cl,"radiusX",0,(0,QF.getNumberValidator)());SE.Factory.addGetterSetter(cl,"radiusY",0,(0,QF.getNumberValidator)());var P_={};Object.defineProperty(P_,"__esModule",{value:!0});P_.Image=void 0;const w2=Yt,Pu=Ne,Xye=Cn,Yye=Le,xg=be;let Jo=class JF extends Xye.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?w2.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?w2.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=w2.Util.createImageElement();i.onload=function(){var o=new JF({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};P_.Image=Jo;Jo.prototype.className="Image";(0,Yye._registerNode)(Jo);Pu.Factory.addGetterSetter(Jo,"cornerRadius",0,(0,xg.getNumberOrArrayOfNumbersValidator)(4));Pu.Factory.addGetterSetter(Jo,"image");Pu.Factory.addComponentsGetterSetter(Jo,"crop",["x","y","width","height"]);Pu.Factory.addGetterSetter(Jo,"cropX",0,(0,xg.getNumberValidator)());Pu.Factory.addGetterSetter(Jo,"cropY",0,(0,xg.getNumberValidator)());Pu.Factory.addGetterSetter(Jo,"cropWidth",0,(0,xg.getNumberValidator)());Pu.Factory.addGetterSetter(Jo,"cropHeight",0,(0,xg.getNumberValidator)());var Cd={};Object.defineProperty(Cd,"__esModule",{value:!0});Cd.Tag=Cd.Label=void 0;const O_=Ne,Zye=Cn,Qye=Hd,wE=be,eB=Le;var tB=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],Jye="Change.konva",eve="none",Jx="up",eC="right",tC="down",nC="left",tve=tB.length;class xE extends Qye.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<tve;r++)t.on(tB[r]+Jye,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case Jx:a=r/2,l=-1*u;break;case eC:a=r+s,l=i/2;break;case tC:a=r/2,l=i+u;break;case nC:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Cd.Label=xE;xE.prototype.className="Label";(0,eB._registerNode)(xE);class Ou extends Zye.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof a=="number"?l=u=c=d=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),d=Math.min(a[2]||0,n/2,r/2),c=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===Jx&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===eC&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===tC&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===nC&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===Jx?(n-=i,a+=i):o===tC?a+=i:o===nC?(t-=r*1.5,s+=r):o===eC&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Cd.Tag=Ou;Ou.prototype.className="Tag";(0,eB._registerNode)(Ou);O_.Factory.addGetterSetter(Ou,"pointerDirection",eve);O_.Factory.addGetterSetter(Ou,"pointerWidth",0,(0,wE.getNumberValidator)());O_.Factory.addGetterSetter(Ou,"pointerHeight",0,(0,wE.getNumberValidator)());O_.Factory.addGetterSetter(Ou,"cornerRadius",0,(0,wE.getNumberOrArrayOfNumbersValidator)(4));var Cg={};Object.defineProperty(Cg,"__esModule",{value:!0});Cg.Rect=void 0;const nve=Ne,rve=Cn,ive=Le,ove=Yt,sve=be;let R_=class extends rve.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?ove.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Cg.Rect=R_;R_.prototype.className="Rect";(0,ive._registerNode)(R_);nve.Factory.addGetterSetter(R_,"cornerRadius",0,(0,sve.getNumberOrArrayOfNumbersValidator)(4));var I_={};Object.defineProperty(I_,"__esModule",{value:!0});I_.RegularPolygon=void 0;const nB=Ne,ave=Cn,rB=be,lve=Le;class Ru extends ave.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}I_.RegularPolygon=Ru;Ru.prototype.className="RegularPolygon";Ru.prototype._centroid=!0;Ru.prototype._attrsAffectingSize=["radius"];(0,lve._registerNode)(Ru);nB.Factory.addGetterSetter(Ru,"radius",0,(0,rB.getNumberValidator)());nB.Factory.addGetterSetter(Ru,"sides",0,(0,rB.getNumberValidator)());var M_={};Object.defineProperty(M_,"__esModule",{value:!0});M_.Ring=void 0;const iB=Ne,uve=Cn,oB=be,cve=Le;var eP=Math.PI*2;class Iu extends uve.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,eP,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),eP,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}M_.Ring=Iu;Iu.prototype.className="Ring";Iu.prototype._centroid=!0;Iu.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,cve._registerNode)(Iu);iB.Factory.addGetterSetter(Iu,"innerRadius",0,(0,oB.getNumberValidator)());iB.Factory.addGetterSetter(Iu,"outerRadius",0,(0,oB.getNumberValidator)());var N_={};Object.defineProperty(N_,"__esModule",{value:!0});N_.Sprite=void 0;const Mu=Ne,dve=Cn,fve=Wd,sB=be,hve=Le;class es extends dve.Shape{constructor(t){super(t),this._updated=!0,this.anim=new fve.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(s){var f=s[n],h=r*2;t.drawImage(d,a,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,a,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],c=r*2;t.rect(u[c+0],u[c+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}N_.Sprite=es;es.prototype.className="Sprite";(0,hve._registerNode)(es);Mu.Factory.addGetterSetter(es,"animation");Mu.Factory.addGetterSetter(es,"animations");Mu.Factory.addGetterSetter(es,"frameOffsets");Mu.Factory.addGetterSetter(es,"image");Mu.Factory.addGetterSetter(es,"frameIndex",0,(0,sB.getNumberValidator)());Mu.Factory.addGetterSetter(es,"frameRate",17,(0,sB.getNumberValidator)());Mu.Factory.backCompat(es,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var D_={};Object.defineProperty(D_,"__esModule",{value:!0});D_.Star=void 0;const CE=Ne,pve=Cn,EE=be,gve=Le;class dl extends pve.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}D_.Star=dl;dl.prototype.className="Star";dl.prototype._centroid=!0;dl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,gve._registerNode)(dl);CE.Factory.addGetterSetter(dl,"numPoints",5,(0,EE.getNumberValidator)());CE.Factory.addGetterSetter(dl,"innerRadius",0,(0,EE.getNumberValidator)());CE.Factory.addGetterSetter(dl,"outerRadius",0,(0,EE.getNumberValidator)());var gu={};Object.defineProperty(gu,"__esModule",{value:!0});gu.Text=gu.stringToArray=void 0;const rC=Yt,Rr=Ne,mve=Cn,fl=be,yve=Le;function aB(e){return Array.from(e)}gu.stringToArray=aB;var nc="auto",vve="center",xf="justify",_ve="Change.konva",bve="2d",tP="-",lB="left",Sve="text",wve="Text",xve="top",Cve="bottom",nP="middle",uB="normal",Eve="px ",Nm=" ",Tve="right",Ave="word",kve="char",rP="none",x2="…",cB=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],Pve=cB.length;function Ove(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Dm;function C2(){return Dm||(Dm=rC.Util.createCanvasElement().getContext(bve),Dm)}function Rve(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function Ive(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function Mve(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}let un=class extends mve.Shape{constructor(t){super(Mve(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<Pve;n++)this.on(cB[n]+_ve,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,b,_=0,_=s/2,y=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",nP),t.setAttr("textAlign",lB),a===nP?l=(this.getHeight()-r*s-i*2)/2:a===Cve&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),b=0;b<r;b++){var y=0,g=0,v=n[b],S=v.text,w=v.width,C=v.lastInParagraph,x,A,T;if(t.save(),u===Tve?y+=c-w-i*2:u===vve&&(y+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(y,_+g+Math.round(o/2)),x=S.split(" ").length-1,A=x===0,T=u===xf&&!C?c-i*2:w,t.lineTo(y+Math.round(T),_+g+Math.round(o/2)),t.lineWidth=o/15;const N=this._getLinearGradient();t.strokeStyle=N||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(y,_+g),x=S.split(" ").length-1,A=x===0,T=u===xf&&C&&!A?c-i*2:w,t.lineTo(y+Math.round(T),_+g),t.lineWidth=o/15;const N=this._getLinearGradient();t.strokeStyle=N||f,t.stroke(),t.restore()}if(d!==0||u===xf){x=S.split(" ").length-1;for(var P=aB(S),L=0;L<P.length;L++){var R=P[L];R===" "&&!C&&u===xf&&(y+=(c-i*2-w)/x),this._partialTextX=y,this._partialTextY=_+g,this._partialText=R,t.fillStrokeShape(this),y+=this.measureSize(R).width+d}}else this._partialTextX=y,this._partialTextY=_+g,this._partialText=S,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=rC.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(Sve,n),this}getWidth(){var t=this.attrs.width===nc||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===nc||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return rC.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=C2(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+Nm+this.fontVariant()+Nm+(this.fontSize()+Eve)+Ove(this.fontFamily())}_addTextLine(t){this.align()===xf&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return C2().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
-`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==nc&&o!==void 0,l=s!==nc&&s!==void 0,u=this.padding(),c=o-u*2,d=s-u*2,f=0,h=this.wrap(),p=h!==rP,m=h!==kve&&p,b=this.ellipsis();this.textArr=[],C2().font=this._getContextFont();for(var _=b?this._getTextWidth(x2):0,y=0,g=t.length;y<g;++y){var v=t[y],S=this._getTextWidth(v);if(a&&S>c)for(;v.length>0;){for(var w=0,C=v.length,x="",A=0;w<C;){var T=w+C>>>1,P=v.slice(0,T+1),L=this._getTextWidth(P)+_;L<=c?(w=T+1,x=P,A=L):C=T}if(x){if(m){var R,E=v[x.length],k=E===Nm||E===tP;k&&A<=c?R=x.length:R=Math.max(x.lastIndexOf(Nm),x.lastIndexOf(tP))+1,R>0&&(w=R,x=x.slice(0,w),A=this._getTextWidth(x))}x=x.trimRight(),this._addTextLine(x),r=Math.max(r,A),f+=i;var N=this._shouldHandleEllipsis(f);if(N){this._tryToAddEllipsisToLastLine();break}if(v=v.slice(w),v=v.trimLeft(),v.length>0&&(S=this._getTextWidth(v),S<=c)){this._addTextLine(v),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(v),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&y<g-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&f+i>d)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==nc&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==rP;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==nc&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+x2)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+x2)}}getStrokeScaleEnabled(){return!0}};gu.Text=un;un.prototype._fillFunc=Rve;un.prototype._strokeFunc=Ive;un.prototype.className=wve;un.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,yve._registerNode)(un);Rr.Factory.overWriteSetter(un,"width",(0,fl.getNumberOrAutoValidator)());Rr.Factory.overWriteSetter(un,"height",(0,fl.getNumberOrAutoValidator)());Rr.Factory.addGetterSetter(un,"fontFamily","Arial");Rr.Factory.addGetterSetter(un,"fontSize",12,(0,fl.getNumberValidator)());Rr.Factory.addGetterSetter(un,"fontStyle",uB);Rr.Factory.addGetterSetter(un,"fontVariant",uB);Rr.Factory.addGetterSetter(un,"padding",0,(0,fl.getNumberValidator)());Rr.Factory.addGetterSetter(un,"align",lB);Rr.Factory.addGetterSetter(un,"verticalAlign",xve);Rr.Factory.addGetterSetter(un,"lineHeight",1,(0,fl.getNumberValidator)());Rr.Factory.addGetterSetter(un,"wrap",Ave);Rr.Factory.addGetterSetter(un,"ellipsis",!1,(0,fl.getBooleanValidator)());Rr.Factory.addGetterSetter(un,"letterSpacing",0,(0,fl.getNumberValidator)());Rr.Factory.addGetterSetter(un,"text","",(0,fl.getStringValidator)());Rr.Factory.addGetterSetter(un,"textDecoration","");var L_={};Object.defineProperty(L_,"__esModule",{value:!0});L_.TextPath=void 0;const E2=Yt,mo=Ne,Nve=Cn,Cf=qd,T2=gu,dB=be,Dve=Le;var Lve="",fB="normal";function hB(e){e.fillText(this.partialText,0,0)}function pB(e){e.strokeText(this.partialText,0,0)}class En extends Nve.Shape{constructor(t){super(t),this.dummyCanvas=E2.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Cf.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Cf.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Cf.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return E2.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return T2.Text.prototype.setText.call(this,t)}_getContextFont(){return T2.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,T2.stringToArray)(this.text());let u=a;for(var c=0;c<l.length;c++){const d=this._getPointAtLength(u);if(!d)return;let f=this._getTextSize(l[c]).width+r;if(l[c]===" "&&i==="justify"){const y=this.text().split(" ").length-1;f+=(this.pathLength-s)/y}const h=this._getPointAtLength(u+f);if(!h)return;const p=Cf.Path.getLineLength(d.x,d.y,h.x,h.y);let m=0;if(o)try{m=o(l[c-1],l[c])*this.fontSize()}catch{m=0}d.x+=m,h.x+=m,this.textWidth+=m;const b=Cf.Path.getPointOnLine(m+p/2,d.x,d.y,h.x,h.y),_=Math.atan2(h.y-d.y,h.x-d.x);this.glyphInfo.push({transposeX:b.x,transposeY:b.y,text:l[c],rotation:_,p0:d,p1:h}),u+=f}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(c){t.push(c.p0.x),t.push(c.p0.y),t.push(c.p1.x),t.push(c.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return E2.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}L_.TextPath=En;En.prototype._fillFunc=hB;En.prototype._strokeFunc=pB;En.prototype._fillFuncHit=hB;En.prototype._strokeFuncHit=pB;En.prototype.className="TextPath";En.prototype._attrsAffectingSize=["text","fontSize","data"];(0,Dve._registerNode)(En);mo.Factory.addGetterSetter(En,"data");mo.Factory.addGetterSetter(En,"fontFamily","Arial");mo.Factory.addGetterSetter(En,"fontSize",12,(0,dB.getNumberValidator)());mo.Factory.addGetterSetter(En,"fontStyle",fB);mo.Factory.addGetterSetter(En,"align","left");mo.Factory.addGetterSetter(En,"letterSpacing",0,(0,dB.getNumberValidator)());mo.Factory.addGetterSetter(En,"textBaseline","middle");mo.Factory.addGetterSetter(En,"fontVariant",fB);mo.Factory.addGetterSetter(En,"text",Lve);mo.Factory.addGetterSetter(En,"textDecoration",null);mo.Factory.addGetterSetter(En,"kerningFunc",null);var $_={};Object.defineProperty($_,"__esModule",{value:!0});$_.Transformer=void 0;const lt=Yt,at=Ne,iP=Ut,$ve=Cn,Fve=Cg,oP=Hd,Wi=Le,hl=be,Bve=Le;var gB="tr-konva",zve=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${gB}`).join(" "),sP="nodesRect",Uve=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],jve={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const Vve="ontouchstart"in Wi.Konva._global;function Gve(e,t){if(e==="rotater")return"crosshair";t+=lt.Util.degToRad(jve[e]||0);var n=(lt.Util.radToDeg(t)%360+360)%360;return lt.Util._inRange(n,315+22.5,360)||lt.Util._inRange(n,0,22.5)?"ns-resize":lt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":lt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":lt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":lt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":lt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":lt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":lt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(lt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var sv=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],aP=1e8;function Hve(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function mB(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Wve(e,t){const n=Hve(e);return mB(e,t,n)}function qve(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=Wi.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Je extends oP.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(zve,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return lt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return gB+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(lt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(Uve.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(sP),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(sP,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(Wi.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return mB(c,-Wi.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-aP,y:-aP,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new lt.Transform;r.rotate(-Wi.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:Wi.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),sv.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new Fve.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:Vve?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=Wi.Konva.getAngle(this.rotation()),o=Gve(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new $ve.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*lt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let R=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(R-=Math.PI);var f=Wi.Konva.getAngle(this.rotation());const E=f+R,k=Wi.Konva.getAngle(this.rotationSnapTolerance()),$=qve(this.rotationSnaps(),E,k)-d.rotation,M=Wve(d,$);this._fitNodesInto(M,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-right").x()<m.x?-1:1,_=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var y=o.position();this.findOne(".top-left").y(y.y),this.findOne(".bottom-right").x(y.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var b=m.x<o.x()?-1:1,_=o.y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,o.x(m.x-n),o.y(m.y+r)}y=o.position(),this.findOne(".top-left").x(y.x),this.findOne(".bottom-right").y(y.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var b=this.findOne(".bottom-right").x()<m.x?-1:1,_=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var v=this.findOne(".top-left"),S=this.findOne(".bottom-right"),w=v.x(),C=v.y(),x=this.getWidth()-S.x(),A=this.getHeight()-S.y();S.move({x:-w,y:-C}),v.move({x,y:A})}var T=this.findOne(".top-left").getAbsolutePosition();n=T.x,r=T.y;var P=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),L=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:P,height:L,rotation:Wi.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(lt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(lt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new lt.Transform;if(s.rotate(Wi.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:lt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new lt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new lt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new lt.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(lt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(lt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*lt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),oP.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return iP.Node.prototype.toObject.call(this)}clone(t){var n=iP.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}$_.Transformer=Je;function Kve(e){return e instanceof Array||lt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){sv.indexOf(t)===-1&&lt.Util.warn("Unknown anchor name: "+t+". Available names are: "+sv.join(", "))}),e||[]}Je.prototype.className="Transformer";(0,Bve._registerNode)(Je);at.Factory.addGetterSetter(Je,"enabledAnchors",sv,Kve);at.Factory.addGetterSetter(Je,"flipEnabled",!0,(0,hl.getBooleanValidator)());at.Factory.addGetterSetter(Je,"resizeEnabled",!0);at.Factory.addGetterSetter(Je,"anchorSize",10,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"rotateEnabled",!0);at.Factory.addGetterSetter(Je,"rotationSnaps",[]);at.Factory.addGetterSetter(Je,"rotateAnchorOffset",50,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"rotationSnapTolerance",5,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"borderEnabled",!0);at.Factory.addGetterSetter(Je,"anchorStroke","rgb(0, 161, 255)");at.Factory.addGetterSetter(Je,"anchorStrokeWidth",1,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"anchorFill","white");at.Factory.addGetterSetter(Je,"anchorCornerRadius",0,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"borderStroke","rgb(0, 161, 255)");at.Factory.addGetterSetter(Je,"borderStrokeWidth",1,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"borderDash");at.Factory.addGetterSetter(Je,"keepRatio",!0);at.Factory.addGetterSetter(Je,"shiftBehavior","default");at.Factory.addGetterSetter(Je,"centeredScaling",!1);at.Factory.addGetterSetter(Je,"ignoreStroke",!1);at.Factory.addGetterSetter(Je,"padding",0,(0,hl.getNumberValidator)());at.Factory.addGetterSetter(Je,"node");at.Factory.addGetterSetter(Je,"nodes");at.Factory.addGetterSetter(Je,"boundBoxFunc");at.Factory.addGetterSetter(Je,"anchorDragBoundFunc");at.Factory.addGetterSetter(Je,"anchorStyleFunc");at.Factory.addGetterSetter(Je,"shouldOverdrawWholeArea",!1);at.Factory.addGetterSetter(Je,"useSingleNodeRotation",!0);at.Factory.backCompat(Je,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var F_={};Object.defineProperty(F_,"__esModule",{value:!0});F_.Wedge=void 0;const B_=Ne,Xve=Cn,Yve=Le,yB=be,Zve=Le;class qs extends Xve.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Yve.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}F_.Wedge=qs;qs.prototype.className="Wedge";qs.prototype._centroid=!0;qs.prototype._attrsAffectingSize=["radius"];(0,Zve._registerNode)(qs);B_.Factory.addGetterSetter(qs,"radius",0,(0,yB.getNumberValidator)());B_.Factory.addGetterSetter(qs,"angle",0,(0,yB.getNumberValidator)());B_.Factory.addGetterSetter(qs,"clockwise",!1);B_.Factory.backCompat(qs,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var z_={};Object.defineProperty(z_,"__esModule",{value:!0});z_.Blur=void 0;const lP=Ne,Qve=Ut,Jve=be;function uP(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var e1e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],t1e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function n1e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,y,g,v,S,w,C,x,A,T,P,L,R=t+t+1,E=r-1,k=i-1,N=t+1,$=N*(N+1)/2,M=new uP,O=null,D=M,F=null,U=null,V=e1e[t],q=t1e[t];for(a=1;a<R;a++)D=D.next=new uP,a===N&&(O=D);for(D.next=M,d=c=0,s=0;s<i;s++){for(v=S=w=C=f=h=p=m=0,b=N*(x=n[c]),_=N*(A=n[c+1]),y=N*(T=n[c+2]),g=N*(P=n[c+3]),f+=$*x,h+=$*A,p+=$*T,m+=$*P,D=M,a=0;a<N;a++)D.r=x,D.g=A,D.b=T,D.a=P,D=D.next;for(a=1;a<N;a++)l=c+((E<a?E:a)<<2),f+=(D.r=x=n[l])*(L=N-a),h+=(D.g=A=n[l+1])*L,p+=(D.b=T=n[l+2])*L,m+=(D.a=P=n[l+3])*L,v+=x,S+=A,w+=T,C+=P,D=D.next;for(F=M,U=O,o=0;o<r;o++)n[c+3]=P=m*V>>q,P!==0?(P=255/P,n[c]=(f*V>>q)*P,n[c+1]=(h*V>>q)*P,n[c+2]=(p*V>>q)*P):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=d+((l=o+t+1)<E?l:E)<<2,v+=F.r=n[l],S+=F.g=n[l+1],w+=F.b=n[l+2],C+=F.a=n[l+3],f+=v,h+=S,p+=w,m+=C,F=F.next,b+=x=U.r,_+=A=U.g,y+=T=U.b,g+=P=U.a,v-=x,S-=A,w-=T,C-=P,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(S=w=C=v=h=p=m=f=0,c=o<<2,b=N*(x=n[c]),_=N*(A=n[c+1]),y=N*(T=n[c+2]),g=N*(P=n[c+3]),f+=$*x,h+=$*A,p+=$*T,m+=$*P,D=M,a=0;a<N;a++)D.r=x,D.g=A,D.b=T,D.a=P,D=D.next;for(u=r,a=1;a<=t;a++)c=u+o<<2,f+=(D.r=x=n[c])*(L=N-a),h+=(D.g=A=n[c+1])*L,p+=(D.b=T=n[c+2])*L,m+=(D.a=P=n[c+3])*L,v+=x,S+=A,w+=T,C+=P,D=D.next,a<k&&(u+=r);for(c=o,F=M,U=O,s=0;s<i;s++)l=c<<2,n[l+3]=P=m*V>>q,P>0?(P=255/P,n[l]=(f*V>>q)*P,n[l+1]=(h*V>>q)*P,n[l+2]=(p*V>>q)*P):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=o+((l=s+N)<k?l:k)*r<<2,f+=v+=F.r=n[l],h+=S+=F.g=n[l+1],p+=w+=F.b=n[l+2],m+=C+=F.a=n[l+3],F=F.next,b+=x=U.r,_+=A=U.g,y+=T=U.b,g+=P=U.a,v-=x,S-=A,w-=T,C-=P,U=U.next,c+=r}}const r1e=function(t){var n=Math.round(this.blurRadius());n>0&&n1e(t,n)};z_.Blur=r1e;lP.Factory.addGetterSetter(Qve.Node,"blurRadius",0,(0,Jve.getNumberValidator)(),lP.Factory.afterSetFilter);var U_={};Object.defineProperty(U_,"__esModule",{value:!0});U_.Brighten=void 0;const cP=Ne,i1e=Ut,o1e=be,s1e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};U_.Brighten=s1e;cP.Factory.addGetterSetter(i1e.Node,"brightness",0,(0,o1e.getNumberValidator)(),cP.Factory.afterSetFilter);var j_={};Object.defineProperty(j_,"__esModule",{value:!0});j_.Contrast=void 0;const dP=Ne,a1e=Ut,l1e=be,u1e=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};j_.Contrast=u1e;dP.Factory.addGetterSetter(a1e.Node,"contrast",0,(0,l1e.getNumberValidator)(),dP.Factory.afterSetFilter);var V_={};Object.defineProperty(V_,"__esModule",{value:!0});V_.Emboss=void 0;const Ya=Ne,G_=Ut,c1e=Yt,vB=be,d1e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:c1e.Util.error("Unknown emboss direction: 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o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const p1e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<s?s=l:l>a&&(a=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,y,g,v,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),y=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,y=a+h*(a-_),g=s+h*(s-_),v=(c+u)*.5,S=c+h*(c-v),w=u+h*(u-v)),f=0;f<n;f+=4)t[f+0]=A2(t[f+0],r,i,b,m),t[f+1]=A2(t[f+1],s,a,g,y),t[f+2]=A2(t[f+2],u,c,w,S)}};H_.Enhance=p1e;fP.Factory.addGetterSetter(f1e.Node,"enhance",0,(0,h1e.getNumberValidator)(),fP.Factory.afterSetFilter);var W_={};Object.defineProperty(W_,"__esModule",{value:!0});W_.Grayscale=void 0;const g1e=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};W_.Grayscale=g1e;var 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K_={};Object.defineProperty(K_,"__esModule",{value:!0});K_.HSV=void 0;const Td=Ne,kE=Ut,PE=be,y1e=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,c=.587*r-.587*a+.33*l,d=.114*r-.114*a-.497*l,f=.299*r-.299*a-.328*l,h=.587*r+.413*a+.035*l,p=.114*r-.114*a+.293*l,m=.299*r-.3*a+1.25*l,b=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,y,g,v,S;for(s=0;s<n;s+=4)y=t[s+0],g=t[s+1],v=t[s+2],S=t[s+3],t[s+0]=u*y+c*g+d*v,t[s+1]=f*y+h*g+p*v,t[s+2]=m*y+b*g+_*v,t[s+3]=S};K_.HSV=y1e;Td.Factory.addGetterSetter(kE.Node,"hue",0,(0,PE.getNumberValidator)(),Td.Factory.afterSetFilter);Td.Factory.addGetterSetter(kE.Node,"saturation",0,(0,PE.getNumberValidator)(),Td.Factory.afterSetFilter);Td.Factory.addGetterSetter(kE.Node,"value",0,(0,PE.getNumberValidator)(),Td.Factory.afterSetFilter);var X_={};Object.defineProperty(X_,"__esModule",{value:!0});X_.Invert=void 0;const v1e=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};X_.Invert=v1e;var Y_={};Object.defineProperty(Y_,"__esModule",{value:!0});Y_.Kaleidoscope=void 0;const av=Ne,_B=Ut,hP=Yt,bB=be;var _1e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f=0,h=0,p=0,m=0,b,_=Math.sqrt(a*a+l*l);c=o-a,d=s-l,b=Math.sqrt(c*c+d*d),_=b>_?b:_;var y=s,g=o,v,S,w=360/g*Math.PI/180,C,x;for(S=0;S<g;S+=1)for(C=Math.sin(S*w),x=Math.cos(S*w),v=0;v<y;v+=1)c=Math.floor(a+_*v/y*x),d=Math.floor(l+_*v/y*C),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(S+v*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},b1e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f,h,p=0,m=0,b=0,_=0,y,g=Math.sqrt(a*a+l*l);c=o-a,d=s-l,y=Math.sqrt(c*c+d*d),g=y>g?y:g;var 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g=y,v=0,S=g,w=1;for(m+y>t&&(v=g,S=0,w=-1),i=0;i<n;i+=1)for(r=v;r!==S;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+r)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(y),s=0;s<h;s+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+g*2-r-1)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;g*=2}b1e(_,e,{polarRotation:0})}};Y_.Kaleidoscope=S1e;av.Factory.addGetterSetter(_B.Node,"kaleidoscopePower",2,(0,bB.getNumberValidator)(),av.Factory.afterSetFilter);av.Factory.addGetterSetter(_B.Node,"kaleidoscopeAngle",0,(0,bB.getNumberValidator)(),av.Factory.afterSetFilter);var Z_={};Object.defineProperty(Z_,"__esModule",{value:!0});Z_.Mask=void 0;const pP=Ne,w1e=Ut,x1e=be;function Lm(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function Ef(e,t){return 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r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c>=255*4?255:0}return s}function P1e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c}return s}const O1e=function(e){var t=this.threshold(),n=E1e(e,t);return n&&(n=A1e(n,e.width,e.height),n=k1e(n,e.width,e.height),n=P1e(n,e.width,e.height),T1e(e,n)),e};Z_.Mask=O1e;pP.Factory.addGetterSetter(w1e.Node,"threshold",0,(0,x1e.getNumberValidator)(),pP.Factory.afterSetFilter);var Q_={};Object.defineProperty(Q_,"__esModule",{value:!0});Q_.Noise=void 0;const gP=Ne,R1e=Ut,I1e=be,M1e=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};Q_.Noise=M1e;gP.Factory.addGetterSetter(R1e.Node,"noise",.2,(0,I1e.getNumberValidator)(),gP.Factory.afterSetFilter);var J_={};Object.defineProperty(J_,"__esModule",{value:!0});J_.Pixelate=void 0;const mP=Ne,N1e=Yt,D1e=Ut,L1e=be,$1e=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,b,_,y,g,v=e.data;if(t<=0){N1e.Util.error("pixelSize value can not be <= 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t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};tb.RGB=j1e;lv.Factory.addGetterSetter(OE.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});lv.Factory.addGetterSetter(OE.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});lv.Factory.addGetterSetter(OE.Node,"blue",0,U1e.RGBComponent,lv.Factory.afterSetFilter);var nb={};Object.defineProperty(nb,"__esModule",{value:!0});nb.RGBA=void 0;const xp=Ne,rb=Ut,V1e=be,G1e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};nb.RGBA=G1e;xp.Factory.addGetterSetter(rb.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});xp.Factory.addGetterSetter(rb.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});xp.Factory.addGetterSetter(rb.Node,"blue",0,V1e.RGBComponent,xp.Factory.afterSetFilter);xp.Factory.addGetterSetter(rb.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var ib={};Object.defineProperty(ib,"__esModule",{value:!0});ib.Sepia=void 0;const H1e=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};ib.Sepia=H1e;var ob={};Object.defineProperty(ob,"__esModule",{value:!0});ob.Solarize=void 0;const W1e=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};ob.Solarize=W1e;var sb={};Object.defineProperty(sb,"__esModule",{value:!0});sb.Threshold=void 0;const vP=Ne,q1e=Ut,K1e=be,X1e=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};sb.Threshold=X1e;vP.Factory.addGetterSetter(q1e.Node,"threshold",.5,(0,K1e.getNumberValidator)(),vP.Factory.afterSetFilter);Object.defineProperty(g_,"__esModule",{value:!0});g_.Konva=void 0;const 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R_e=mE.exports;Object.defineProperty(R_e,"__esModule",{value:!0});const I_e=g_;mE.exports=I_e.Konva;var M_e=mE.exports;const Tf=vu(M_e),N_e=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new Tf.Stage({container:o,width:r,height:i}),a=new Tf.Layer,l=new Tf.Layer;return a.add(new Tf.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new Tf.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},D_e=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),SP=async(e,t)=>{const n=e.toDataURL(t);return await D_e(n,t.width,t.height)},RE=async(e,t,n,r,i)=>{const o=re("canvas"),s=h_(),a=P0e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const c=u.getAbsolutePosition(),d={x:l.x+c.x,y:l.y+c.y,width:l.width,height:l.height},f=await iv(u,d),h=await SP(u,d),p=await N_e(r?e.objects.filter(uN):[],l,i),m=await iv(p,l),b=await SP(p,l);return{baseBlob:f,baseImageData:h,maskBlob:m,maskImageData:b}},L_e=()=>{le({actionCreator:w0e,effect:async(e,{dispatch:t,getState:n})=>{const r=re("canvas"),i=n(),o=await RE(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Wt({title:"Problem Saving Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery;t(ne.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Saved to Assets"}}}))}})},$_e=()=>{le({actionCreator:A0e,effect:async(e,{dispatch:t,getState:n})=>{const r=re("canvas"),i=n(),o=await RE(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Wt({title:"Problem Importing Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery,l=await t(ne.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Sent to ControlNet & 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i=t.controlNet.controlNets[e.payload.controlNetId];if(!i)return!1;const{controlImage:o,processorType:s,shouldAutoConfig:a}=i;if(gk.match(e)&&!a)return!1;const l=s!=="none",u=t.system.isProcessing;return l&&!u&&!!o},j_e=()=>{le({predicate:U_e,effect:async(e,{dispatch:t,cancelActiveListeners:n,delay:r})=>{const i=re("session"),{controlNetId:o}=e.payload;n(),i.trace("ControlNet auto-process triggered"),await r(300),t(U5({controlNetId:o}))}})},Nu=me("system/sessionReadyToInvoke"),SB=e=>(e==null?void 0:e.type)==="image_output",V_e=()=>{le({actionCreator:U5,effect:async(e,{dispatch:t,getState:n,take:r})=>{const i=re("session"),{controlNetId:o}=e.payload,s=n().controlNet.controlNets[o];if(!(s!=null&&s.controlImage)){i.error("Unable to process ControlNet image");return}const a={nodes:{[s.processorNode.id]:{...s.processorNode,is_intermediate:!0,image:{image_name:s.controlImage}}}},l=t(er({graph:a})),[u]=await r(f=>er.fulfilled.match(f)&&f.meta.requestId===l.requestId),c=u.payload.id;t(Nu());const[d]=await r(f=>F5.match(f)&&f.payload.data.graph_execution_state_id===c);if(SB(d.payload.data.result)){const{image_name:f}=d.payload.data.result.image,[{payload:h}]=await r(m=>ne.endpoints.getImageDTO.matchFulfilled(m)&&m.payload.image_name===f),p=h;i.debug({controlNetId:e.payload,processedControlImage:p},"ControlNet image processed"),t(j5({controlNetId:o,processedControlImage:p.image_name}))}}})},G_e=()=>{le({matcher:ne.endpoints.addImageToBoard.matchFulfilled,effect:e=>{const t=re("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Image added to board")}})},H_e=()=>{le({matcher:ne.endpoints.addImageToBoard.matchRejected,effect:e=>{const t=re("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Problem adding image to 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o=n(),s=wB(o),{data:a}=ne.endpoints.listImages.select(s)(o),l=a?Tt.getSelectors().selectAll(a)[0]:void 0;t(jo(l||null)),t(V5(!1)),i.some(u=>u.isCanvasImage)&&t(y5()),r.forEach(u=>{var c;((c=n().generation.initialImage)==null?void 0:c.imageName)===u.image_name&&t(m5()),Ii(n().controlNet.controlNets,d=>{(d.controlImage===u.image_name||d.processedControlImage===u.image_name)&&(t(Eu({controlNetId:d.controlNetId,controlImage:null})),t(j5({controlNetId:d.controlNetId,processedControlImage:null})))}),n().nodes.nodes.forEach(d=>{An(d)&&Ii(d.data.inputs,f=>{var h;f.type==="ImageField"&&((h=f.value)==null?void 0:h.image_name)===u.image_name&&t(G1({nodeId:d.data.id,fieldName:f.name,value:void 0}))})})})}catch{}}})},K_e=()=>{le({matcher:ne.endpoints.deleteImage.matchPending,effect:()=>{}})},X_e=()=>{le({matcher:ne.endpoints.deleteImage.matchFulfilled,effect:e=>{re("images").debug({imageDTO:e.meta.arg.originalArgs},"Image deleted")}})},Y_e=()=>{le({matcher:ne.endpoints.deleteImage.matchRejected,effect:e=>{re("images").debug({imageDTO:e.meta.arg.originalArgs},"Unable to delete image")}})},kt=e=>{try{return JSON.parse(JSON.stringify(e))}catch{return"Error parsing object"}},xB=me("dnd/dndDropped"),Z_e=()=>{le({actionCreator:xB,effect:async(e,{dispatch:t})=>{const n=re("dnd"),{activeData:r,overData:i}=e.payload;if(r.payloadType==="IMAGE_DTO"?n.debug({activeData:r,overData:i},"Image dropped"):r.payloadType==="IMAGE_DTOS"?n.debug({activeData:r,overData:i},`Images (${r.payload.imageDTOs.length}) dropped`):r.payloadType==="NODE_FIELD"?n.debug({activeData:kt(r),overData:kt(i)},"Node field dropped"):n.debug({activeData:r,overData:i},"Unknown payload 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t=re("images"),n=e.meta.arg.originalArgs;t.debug({imageDTO:n},"Image removed from board")}})},J_e=()=>{le({matcher:ne.endpoints.removeImageFromBoard.matchRejected,effect:e=>{const t=re("images"),n=e.meta.arg.originalArgs;t.debug({imageDTO:n},"Problem removing image from board")}})},ebe=()=>{le({actionCreator:Wae,effect:async(e,{dispatch:t,getState:n})=>{const r=e.payload,i=n(),{shouldConfirmOnDelete:o}=i.system,s=v0e(n()),a=s.some(l=>l.isCanvasImage)||s.some(l=>l.isInitialImage)||s.some(l=>l.isControlNetImage)||s.some(l=>l.isNodesImage);if(o||a){t(V5(!0));return}t(IE({imageDTOs:r,imagesUsage:s}))}})},rc={title:"Image Uploaded",status:"success"},tbe=()=>{le({matcher:ne.endpoints.uploadImage.matchFulfilled,effect:(e,{dispatch:t,getState:n})=>{const r=re("images"),i=e.payload,o=n(),{autoAddBoardId:s}=o.gallery;r.debug({imageDTO:i},"Image uploaded");const{postUploadAction:a}=e.meta.arg.originalArgs;if(!(e.payload.is_intermediate&&!a)){if((a==null?void 0:a.type)==="TOAST"){const{toastOptions:l}=a;if(!s||s==="none")t(Wt({...rc,...l}));else{t(ne.endpoints.addImageToBoard.initiate({board_id:s,imageDTO:i}));const{data:u}=Wn.endpoints.listAllBoards.select()(o),c=u==null?void 0:u.find(f=>f.board_id===s),d=c?`Added to board ${c.board_name}`:`Added to board ${s}`;t(Wt({...rc,description:d}))}return}if((a==null?void 0:a.type)==="SET_CANVAS_INITIAL_IMAGE"){t(fN(i)),t(Wt({...rc,description:"Set as canvas initial image"}));return}if((a==null?void 0:a.type)==="SET_CONTROLNET_IMAGE"){const{controlNetId:l}=a;t(Eu({controlNetId:l,controlImage:i.image_name})),t(Wt({...rc,description:"Set as control image"}));return}if((a==null?void 0:a.type)==="SET_INITIAL_IMAGE"){t(d1(i)),t(Wt({...rc,description:"Set as initial image"}));return}if((a==null?void 0:a.type)==="SET_NODES_IMAGE"){const{nodeId:l,fieldName:u}=a;t(G1({nodeId:l,fieldName:u,value:i})),t(Wt({...rc,description:`Set as node field 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Failed",description:e.error.message,status:"error"}))}})},rbe=()=>{le({matcher:ne.endpoints.starImages.matchFulfilled,effect:async(e,{dispatch:t,getState:n})=>{const{updated_image_names:r}=e.payload,i=n(),{selection:o}=i.gallery,s=[];o.forEach(a=>{r.includes(a.image_name)?s.push({...a,starred:!0}):s.push(a)}),t(mL(s))}})},ibe=()=>{le({matcher:ne.endpoints.unstarImages.matchFulfilled,effect:async(e,{dispatch:t,getState:n})=>{const{updated_image_names:r}=e.payload,i=n(),{selection:o}=i.gallery,s=[];o.forEach(a=>{r.includes(a.image_name)?s.push({...a,starred:!1}):s.push(a)}),t(mL(s))}})},obe=me("generation/initialImageSelected"),sbe=me("generation/modelSelected"),abe=()=>{le({actionCreator:obe,effect:(e,{dispatch:t})=>{if(!e.payload){t(Wt(Sa({title:sh("toast.imageNotLoadedDesc"),status:"error"})));return}t(d1(e.payload)),t(Wt(Sa(sh("toast.sentToImageToImage"))))}})},lbe=()=>{le({actionCreator:sbe,effect:(e,{getState:t,dispatch:n})=>{var l,u;const 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E=b,k={id:lb,nodes:{[R]:{type:"main_model_loader",id:R,is_intermediate:!0,model:s},[Qe]:{type:"clip_skip",id:Qe,is_intermediate:!0,skipped_layers:S},[ye]:{type:"compel",id:ye,is_intermediate:!0,prompt:i},[ve]:{type:"compel",id:ve,is_intermediate:!0,prompt:o},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:_,blur_type:y},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:p==="fp32"},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:p==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:E,is_intermediate:!0},[ge]:{type:"denoise_latents",id:ge,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[ct]:{type:"noise",id:ae,use_cpu:E,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:ge,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:p==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!L,reference:t},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:d,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ge,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ge,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ge,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(["auto","manual"].includes(P)){const N=T.width,$=T.height;k.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:N,height:$,image:t},k.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:N,height:$,image:n},k.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:x,height:A},k.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:x,height:A},k.nodes[ae].width=N,k.nodes[ae].height=$,k.nodes[ct].width=N,k.nodes[ct].height=$,k.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Cr,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else k.nodes[ae].width=x,k.nodes[ae].height=A,k.nodes[ct].width=x,k.nodes[ct].height=A,k.nodes[Ot]={...k.nodes[Ot],image:t},k.nodes[Ke]={...k.nodes[Ke],image:n},k.nodes[mt]={...k.nodes[mt],image:t},k.edges.push({source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ie,field:"mask"}});if(h){const N={id:_n,type:"rand_int"};k.nodes[_n]=N,k.edges.push({source:{node_id:_n,field:"value"},destination:{node_id:Bt,field:"start"}})}else k.nodes[Bt].start=f;return(w||C)&&(Bi(e,k,R),R=Sn),zi(e,k,R),Xd(e,k,ge,R),$i(e,k,ge),e.system.shouldUseNSFWChecker&&Fi(e,k,ie),e.system.shouldUseWatermarker&&Ui(e,k,ie),k},MSe=(e,t,n)=>{const r=re("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,maskBlurMethod:y,canvasCoherenceSteps:g,canvasCoherenceStrength:v,tileSize:S,infillMethod:w,clipSkip:C,seamlessXAxis:x,seamlessYAxis:A}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:T,height:P}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:L,boundingBoxScaleMethod:R,shouldAutoSave:E}=e.canvas;let k=pl;const N=b,$={id:ub,nodes:{[k]:{type:"main_model_loader",id:k,is_intermediate:!0,model:s},[Qe]:{type:"clip_skip",id:Qe,is_intermediate:!0,skipped_layers:C},[ye]:{type:"compel",id:ye,is_intermediate:!0,prompt:i},[ve]:{type:"compel",id:ve,is_intermediate:!0,prompt:o},[Zc]:{type:"tomask",id:Zc,is_intermediate:!0,image:t},[Mo]:{type:"mask_combine",id:Mo,is_intermediate:!0,mask2:n},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:_,blur_type:y},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:p==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:p==="fp32"},[ge]:{type:"denoise_latents",id:ge,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[ct]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:We,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:p==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!E},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:d,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:k,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:k,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:Zc,field:"image"},destination:{node_id:Mo,field:"mask1"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ge,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ge,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:k,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ge,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(w==="patchmatch"&&($.nodes[ut]={type:"infill_patchmatch",id:ut,is_intermediate:!0}),w==="lama"&&($.nodes[ut]={type:"infill_lama",id:ut,is_intermediate:!0}),w==="tile"&&($.nodes[ut]={type:"infill_tile",id:ut,is_intermediate:!0,tile_size:S}),["auto","manual"].includes(R)){const M=L.width,O=L.height;$.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:M,height:O,image:t},$.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:M,height:O},$.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:T,height:P},$.nodes[wa]={type:"img_resize",id:wa,is_intermediate:!0,width:T,height:P},$.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:T,height:P},$.nodes[ae].width=M,$.nodes[ae].height=O,$.nodes[ct].width=M,$.nodes[ct].height=O,$.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Mo,field:"image"},destination:{node_id:lr,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wa,field:"image"}},{source:{node_id:wa,field:"image"},destination:{node_id:ie,field:"reference"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else 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l=r;[Sn,gs].includes(r)&&(l=Yn),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;Ii(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${EB}_${f.replace(".","_")}`,b={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};s&&(s.loras||(s.loras=[]),s.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=b,c===0?(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[mu,yu].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:We,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:ye,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:ve,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:ye,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:ve,field:"clip2"}})),u=m,c+=1})},Du=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},Zd=(e,t,n,r,i)=>{const{refinerModel:o,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:a,refinerSteps:l,refinerScheduler:u,refinerCFGScale:c,refinerStart:d}=e.sdxl,{seamlessXAxis:f,seamlessYAxis:h,vaePrecision:p}=e.generation,{boundingBoxScaleMethod:m}=e.canvas,b=["auto","manual"].includes(m);if(!o)return;const _=t.nodes[Fe];_&&(_.refiner_model=o,_.refiner_positive_aesthetic_store=s,_.refiner_negative_aesthetic_store=a,_.refiner_cfg_scale=c,_.refiner_scheduler=u,_.refiner_start=d,_.refiner_steps=l);const y=r||Yn,{craftedPositiveStylePrompt:g,craftedNegativeStylePrompt:v}=Du(e,!0);t.edges=t.edges.filter(S=>!(S.source.node_id===n&&["latents"].includes(S.source.field))),t.edges=t.edges.filter(S=>!(S.source.node_id===y&&["vae"].includes(S.source.field))),t.nodes[Tl]={type:"sdxl_refiner_model_loader",id:Tl,model:o},t.nodes[Fm]={type:"sdxl_refiner_compel_prompt",id:Fm,style:g,aesthetic_score:s},t.nodes[Bm]={type:"sdxl_refiner_compel_prompt",id:Bm,style:v,aesthetic_score:a},t.nodes[So]={type:"denoise_latents",id:So,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[eo]={id:eo,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:Tl,field:"unet"},destination:{node_id:eo,field:"unet"}},{source:{node_id:Tl,field:"vae"},destination:{node_id:eo,field:"vae"}},{source:{node_id:eo,field:"unet"},destination:{node_id:So,field:"unet"}})):t.edges.push({source:{node_id:Tl,field:"unet"},destination:{node_id:So,field:"unet"}}),t.edges.push({source:{node_id:Tl,field:"clip2"},destination:{node_id:Fm,field:"clip2"}},{source:{node_id:Tl,field:"clip2"},destination:{node_id:Bm,field:"clip2"}},{source:{node_id:Fm,field:"conditioning"},destination:{node_id:So,field:"positive_conditioning"}},{source:{node_id:Bm,field:"conditioning"},destination:{node_id:So,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:So,field:"latents"}}),(t.id===mu||t.id===yu)&&(t.nodes[gs]={type:"create_denoise_mask",id:gs,is_intermediate:!0,fp32:p==="fp32"},b?t.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:gs,field:"image"}}):t.nodes[gs]={...t.nodes[gs],image:i},t.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:gs,field:"mask"}},{source:{node_id:gs,field:"denoise_mask"},destination:{node_id:So,field:"denoise_mask"}})),t.id===cb||t.id===Ep?t.edges.push({source:{node_id:So,field:"latents"},destination:{node_id:b?Se:ie,field:"latents"}}):t.edges.push({source:{node_id:So,field:"latents"},destination:{node_id:Se,field:"latents"}})},NSe=(e,t)=>{const n=re("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:y}=e.sdxl,{width:g,height:v}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:C}=e.canvas,x=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let A=Yn;const T=f?d:po.shouldUseCpuNoise,{craftedPositiveStylePrompt:P,craftedNegativeStylePrompt:L}=Du(e,y),R={id:Ep,nodes:{[A]:{type:"sdxl_model_loader",id:A,model:o},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:r,style:P},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:i,style:L},[ae]:{type:"noise",id:ae,is_intermediate:!0,use_cpu:T,width:x?S.width:g,height:x?S.height:v},[Pt]:{type:"i2l",id:Pt,is_intermediate:!0,fp32:u==="fp32"},[ce]:{type:"denoise_latents",id:ce,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:A,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Pt,field:"latents"},destination:{node_id:ce,field:"latents"}}]};return x?(R.nodes[Yc]={id:Yc,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},R.nodes[Se]={id:Se,type:"l2i",is_intermediate:!0,fp32:u==="fp32"},R.nodes[ie]={id:ie,type:"img_resize",is_intermediate:!C,width:g,height:v},R.edges.push({source:{node_id:Yc,field:"image"},destination:{node_id:Pt,field:"image"}},{source:{node_id:ce,field:"latents"},destination:{node_id:Se,field:"latents"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}})):(R.nodes[ie]={type:"l2i",id:ie,is_intermediate:!C,fp32:u==="fp32"},R.nodes[Pt].image=t,R.edges.push({source:{node_id:ce,field:"latents"},destination:{node_id:ie,field:"latents"}})),R.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:x?S.width:g,height:x?S.height:v,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:T?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},R.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:ie,field:"metadata"}}),(h||p)&&(Bi(e,R,A),A=Sn),m&&(Zd(e,R,ce,A),(h||p)&&(A=eo)),zi(e,R,A),Yd(e,R,ce,A),gl(e,R),$i(e,R,ce),e.system.shouldUseNSFWChecker&&Fi(e,R,ie),e.system.shouldUseWatermarker&&Ui(e,R,ie),R},DSe=(e,t,n)=>{const r=re("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceSteps:y,canvasCoherenceStrength:g,seamlessXAxis:v,seamlessYAxis:S}=e.generation,{sdxlImg2ImgDenoisingStrength:w,shouldUseSDXLRefiner:C,refinerStart:x,shouldConcatSDXLStylePrompt:A}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:T,height:P}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:L,boundingBoxScaleMethod:R,shouldAutoSave:E}=e.canvas;let k=Yn;const N=m,{craftedPositiveStylePrompt:$,craftedNegativeStylePrompt:M}=Du(e,A),O={id:mu,nodes:{[k]:{type:"sdxl_model_loader",id:k,model:s},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:i,style:$},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:o,style:M},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:b,blur_type:_},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:h==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:h==="fp32"},[ce]:{type:"denoise_latents",id:ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:C?Math.min(x,1-w):1-w,denoising_end:C?x:1},[ct]:{type:"noise",id:ae,use_cpu:N,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:ce,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:h==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!E,reference:t},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:c,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:k,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:k,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:k,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:k,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:k,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ce,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ce,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:k,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ce,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(["auto","manual"].includes(R)){const D=L.width,F=L.height;O.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:D,height:F,image:t},O.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:D,height:F,image:n},O.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:T,height:P},O.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:T,height:P},O.nodes[ae].width=D,O.nodes[ae].height=F,O.nodes[ct].width=D,O.nodes[ct].height=F,O.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Cr,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else O.nodes[ae].width=T,O.nodes[ae].height=P,O.nodes[ct].width=T,O.nodes[ct].height=P,O.nodes[Ot]={...O.nodes[Ot],image:t},O.nodes[Ke]={...O.nodes[Ke],image:n},O.nodes[mt]={...O.nodes[mt],image:t},O.edges.push({source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ie,field:"mask"}});if(f){const D={id:_n,type:"rand_int"};O.nodes[_n]=D,O.edges.push({source:{node_id:_n,field:"value"},destination:{node_id:Bt,field:"start"}})}else O.nodes[Bt].start=d;return(v||S)&&(Bi(e,O,k),k=Sn),C&&(Zd(e,O,We,k,t),(v||S)&&(k=eo)),zi(e,O,k),Yd(e,O,ce,k),$i(e,O,ce),e.system.shouldUseNSFWChecker&&Fi(e,O,ie),e.system.shouldUseWatermarker&&Ui(e,O,ie),O},LSe=(e,t,n)=>{const r=re("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceSteps:y,canvasCoherenceStrength:g,tileSize:v,infillMethod:S,seamlessXAxis:w,seamlessYAxis:C}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:A,refinerStart:T,shouldConcatSDXLStylePrompt:P}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:L,height:R}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:E,boundingBoxScaleMethod:k,shouldAutoSave:N}=e.canvas;let $=Yn;const M=m,{craftedPositiveStylePrompt:O,craftedNegativeStylePrompt:D}=Du(e,P),F={id:yu,nodes:{[Yn]:{type:"sdxl_model_loader",id:Yn,model:s},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:i,style:O},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:o,style:D},[Zc]:{type:"tomask",id:Zc,is_intermediate:!0,image:t},[Mo]:{type:"mask_combine",id:Mo,is_intermediate:!0,mask2:n},[Ke]:{type:"img_blur",id:Ke,is_intermediate:!0,radius:b,blur_type:_},[Ot]:{type:"i2l",id:Ot,is_intermediate:!0,fp32:h==="fp32"},[ae]:{type:"noise",id:ae,use_cpu:M,is_intermediate:!0},[mt]:{type:"create_denoise_mask",id:mt,is_intermediate:!0,fp32:h==="fp32"},[ce]:{type:"denoise_latents",id:ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:A?Math.min(T,1-x):1-x,denoising_end:A?T:1},[ct]:{type:"noise",id:ae,use_cpu:M,is_intermediate:!0},[cr]:{type:"add",id:cr,b:1,is_intermediate:!0},[We]:{type:"denoise_latents",id:We,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[Se]:{type:"l2i",id:Se,is_intermediate:!0,fp32:h==="fp32"},[ie]:{type:"color_correct",id:ie,is_intermediate:!N},[Bt]:{type:"range_of_size",id:Bt,is_intermediate:!0,size:c,step:1},[it]:{type:"iterate",id:it,is_intermediate:!0}},edges:[{source:{node_id:Yn,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:Yn,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Yn,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:Yn,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:Yn,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ot,field:"image"}},{source:{node_id:Zc,field:"image"},destination:{node_id:Mo,field:"mask1"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Ot,field:"latents"},destination:{node_id:ce,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:mt,field:"mask"}},{source:{node_id:mt,field:"denoise_mask"},destination:{node_id:ce,field:"denoise_mask"}},{source:{node_id:Bt,field:"collection"},destination:{node_id:it,field:"collection"}},{source:{node_id:it,field:"item"},destination:{node_id:ae,field:"seed"}},{source:{node_id:it,field:"item"},destination:{node_id:cr,field:"a"}},{source:{node_id:cr,field:"value"},destination:{node_id:ct,field:"seed"}},{source:{node_id:Yn,field:"unet"},destination:{node_id:We,field:"unet"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:We,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:We,field:"negative_conditioning"}},{source:{node_id:ct,field:"noise"},destination:{node_id:We,field:"noise"}},{source:{node_id:ce,field:"latents"},destination:{node_id:We,field:"latents"}},{source:{node_id:We,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(S==="patchmatch"&&(F.nodes[ut]={type:"infill_patchmatch",id:ut,is_intermediate:!0}),S==="lama"&&(F.nodes[ut]={type:"infill_lama",id:ut,is_intermediate:!0}),S==="tile"&&(F.nodes[ut]={type:"infill_tile",id:ut,is_intermediate:!0,tile_size:v}),["auto","manual"].includes(k)){const U=E.width,V=E.height;F.nodes[Cr]={type:"img_resize",id:Cr,is_intermediate:!0,width:U,height:V,image:t},F.nodes[lr]={type:"img_resize",id:lr,is_intermediate:!0,width:U,height:V},F.nodes[ur]={type:"img_resize",id:ur,is_intermediate:!0,width:L,height:R},F.nodes[wa]={type:"img_resize",id:wa,is_intermediate:!0,width:L,height:R},F.nodes[dr]={type:"img_resize",id:dr,is_intermediate:!0,width:L,height:R},F.nodes[ae].width=U,F.nodes[ae].height=V,F.nodes[ct].width=U,F.nodes[ct].height=V,F.edges.push({source:{node_id:Cr,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:Mo,field:"image"},destination:{node_id:lr,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:Se,field:"image"},destination:{node_id:ur,field:"image"}},{source:{node_id:lr,field:"image"},destination:{node_id:dr,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wa,field:"image"}},{source:{node_id:wa,field:"image"},destination:{node_id:ie,field:"reference"}},{source:{node_id:ur,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:dr,field:"image"},destination:{node_id:ie,field:"mask"}})}else F.nodes[ut]={...F.nodes[ut],image:t},F.nodes[ae].width=L,F.nodes[ae].height=R,F.nodes[ct].width=L,F.nodes[ct].height=R,F.nodes[Ot]={...F.nodes[Ot],image:t},F.nodes[Ke]={...F.nodes[Ke]},F.edges.push({source:{node_id:Mo,field:"image"},destination:{node_id:Ke,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:mt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:ie,field:"reference"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ie,field:"mask"}});if(f){const U={id:_n,type:"rand_int"};F.nodes[_n]=U,F.edges.push({source:{node_id:_n,field:"value"},destination:{node_id:Bt,field:"start"}})}else F.nodes[Bt].start=d;return(w||C)&&(Bi(e,F,$),$=Sn),A&&(Zd(e,F,We,$,t),(w||C)&&($=eo)),zi(e,F,$),Yd(e,F,ce,$),$i(e,F,ce),e.system.shouldUseNSFWChecker&&Fi(e,F,ie),e.system.shouldUseWatermarker&&Ui(e,F,ie),F},$Se=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=["auto","manual"].includes(_),{shouldUseSDXLRefiner:v,refinerStart:S,shouldConcatSDXLStylePrompt:w}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const C=d?c:po.shouldUseCpuNoise,x=i.model_type==="onnx";let A=x?ab:Yn;const T=x?"onnx_model_loader":"sdxl_model_loader",P=x?{type:"t2l_onnx",id:ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:v?S:1},{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:R}=Du(e,w),E={id:cb,nodes:{[A]:{type:T,id:A,is_intermediate:!0,model:i},[ye]:{type:x?"prompt_onnx":"sdxl_compel_prompt",id:ye,is_intermediate:!0,prompt:n,style:L},[ve]:{type:x?"prompt_onnx":"sdxl_compel_prompt",id:ve,is_intermediate:!0,prompt:r,style:R},[ae]:{type:"noise",id:ae,is_intermediate:!0,width:g?b.width:p,height:g?b.height:m,use_cpu:C},[P.id]:P},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:A,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}}]};return g?(E.nodes[Se]={id:Se,type:x?"l2i_onnx":"l2i",is_intermediate:!0,fp32:l==="fp32"},E.nodes[ie]={id:ie,type:"img_resize",is_intermediate:!y,width:p,height:m},E.edges.push({source:{node_id:ce,field:"latents"},destination:{node_id:Se,field:"latents"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}})):(E.nodes[ie]={type:x?"l2i_onnx":"l2i",id:ie,is_intermediate:!y,fp32:l==="fp32"},E.edges.push({source:{node_id:ce,field:"latents"},destination:{node_id:ie,field:"latents"}})),E.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:g?b.width:p,height:g?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:C?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},E.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:ie,field:"metadata"}}),(f||h)&&(Bi(e,E,A),A=Sn),v&&(Zd(e,E,ce,A),(f||h)&&(A=eo)),Yd(e,E,ce,A),zi(e,E,A),gl(e,E),$i(e,E,ce),e.system.shouldUseNSFWChecker&&Fi(e,E,ie),e.system.shouldUseWatermarker&&Ui(e,E,ie),E},FSe=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=["auto","manual"].includes(_);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const v=d?c:po.shouldUseCpuNoise,S=i.model_type==="onnx";let w=S?ab:pl;const C=S?"onnx_model_loader":"main_model_loader",x=S?{type:"t2l_onnx",id:ge,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:ge,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},A={id:AB,nodes:{[w]:{type:C,id:w,is_intermediate:!0,model:i},[Qe]:{type:"clip_skip",id:Qe,is_intermediate:!0,skipped_layers:u},[ye]:{type:S?"prompt_onnx":"compel",id:ye,is_intermediate:!0,prompt:n},[ve]:{type:S?"prompt_onnx":"compel",id:ve,is_intermediate:!0,prompt:r},[ae]:{type:"noise",id:ae,is_intermediate:!0,width:g?b.width:p,height:g?b.height:m,use_cpu:v},[x.id]:x},edges:[{source:{node_id:w,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:w,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}}]};return g?(A.nodes[Se]={id:Se,type:S?"l2i_onnx":"l2i",is_intermediate:!0,fp32:l==="fp32"},A.nodes[ie]={id:ie,type:"img_resize",is_intermediate:!y,width:p,height:m},A.edges.push({source:{node_id:ge,field:"latents"},destination:{node_id:Se,field:"latents"}},{source:{node_id:Se,field:"image"},destination:{node_id:ie,field:"image"}})):(A.nodes[ie]={type:S?"l2i_onnx":"l2i",id:ie,is_intermediate:!y,fp32:l==="fp32"},A.edges.push({source:{node_id:ge,field:"latents"},destination:{node_id:ie,field:"latents"}})),A.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:g?b.width:p,height:g?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:v?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},A.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:ie,field:"metadata"}}),(f||h)&&(Bi(e,A,w),w=Sn),zi(e,A,w),Xd(e,A,ge,w),gl(e,A),$i(e,A,ge),e.system.shouldUseNSFWChecker&&Fi(e,A,ie),e.system.shouldUseWatermarker&&Ui(e,A,ie),A},BSe=(e,t,n,r)=>{let i;if(t==="txt2img")e.generation.model&&e.generation.model.base_model==="sdxl"?i=$Se(e):i=FSe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=NSe(e,n):i=RSe(e,n)}else if(t==="inpaint"){if(!n||!r)throw new Error("Missing canvas init and mask images");e.generation.model&&e.generation.model.base_model==="sdxl"?i=DSe(e,n,r):i=ISe(e,n,r)}else{if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=LSe(e,n,r):i=MSe(e,n,r)}return i},zSe=()=>{le({predicate:e=>hg.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=re("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:c}=o.canvas,d=await RE(s,a,l,u,c);if(!d){i.error("Unable to create canvas data");return}const{baseBlob:f,baseImageData:h,maskBlob:p,maskImageData:m}=d,b=PSe(h,m);if(o.system.enableImageDebugging){const C=await PP(f),x=await PP(p);TSe([{base64:x,caption:"mask b64"},{base64:C,caption:"image b64"}])}i.debug(`Generation mode: ${b}`);let _,y;["img2img","inpaint","outpaint"].includes(b)&&(_=await n(ne.endpoints.uploadImage.initiate({file:new File([f],"canvasInitImage.png",{type:"image/png"}),image_category:"general",is_intermediate:!0})).unwrap()),["inpaint","outpaint"].includes(b)&&(y=await n(ne.endpoints.uploadImage.initiate({file:new File([p],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!0})).unwrap());const g=BSe(o,b,_,y);i.debug({graph:kt(g)},"Canvas graph built"),n(lF(g));const{requestId:v}=n(er({graph:g})),[S]=await r(C=>er.fulfilled.match(C)&&C.meta.requestId===v),w=S.payload.id;["img2img","inpaint"].includes(b)&&_&&n(ne.endpoints.changeImageSessionId.initiate({imageDTO:_,session_id:w})),["inpaint"].includes(b)&&y&&n(ne.endpoints.changeImageSessionId.initiate({imageDTO:y,session_id:w})),o.canvas.layerState.stagingArea.boundingBox||n(nne({sessionId:w,boundingBox:{...o.canvas.boundingBoxCoordinates,...o.canvas.boundingBoxDimensions}})),n(rne(w)),n(Nu())}})},USe=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,img2imgStrength:u,shouldFitToWidthHeight:c,width:d,height:f,clipSkip:h,shouldUseCpuNoise:p,shouldUseNoiseSettings:m,vaePrecision:b,seamlessXAxis:_,seamlessYAxis:y}=e.generation;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");let g=pl;const v=m?p:po.shouldUseCpuNoise,S={id:sC,nodes:{[g]:{type:"main_model_loader",id:g,model:i},[Qe]:{type:"clip_skip",id:Qe,skipped_layers:h},[ye]:{type:"compel",id:ye,prompt:n},[ve]:{type:"compel",id:ve,prompt:r},[ae]:{type:"noise",id:ae,use_cpu:v},[Se]:{type:"l2i",id:Se,fp32:b==="fp32"},[ge]:{type:"denoise_latents",id:ge,cfg_scale:o,scheduler:s,steps:a,denoising_start:1-u,denoising_end:1},[Pt]:{type:"i2l",id:Pt,fp32:b==="fp32"}},edges:[{source:{node_id:g,field:"unet"},destination:{node_id:ge,field:"unet"}},{source:{node_id:g,field:"clip"},destination:{node_id:Qe,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:Qe,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ge,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ge,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ge,field:"noise"}},{source:{node_id:Pt,field:"latents"},destination:{node_id:ge,field:"latents"}},{source:{node_id:ge,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(c&&(l.width!==d||l.height!==f)){const w={id:Io,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:d,height:f};S.nodes[Io]=w,S.edges.push({source:{node_id:Io,field:"image"},destination:{node_id:Pt,field:"image"}}),S.edges.push({source:{node_id:Io,field:"width"},destination:{node_id:ae,field:"width"}}),S.edges.push({source:{node_id:Io,field:"height"},destination:{node_id:ae,field:"height"}})}else S.nodes[Pt].image={image_name:l.imageName},S.edges.push({source:{node_id:Pt,field:"width"},destination:{node_id:ae,field:"width"}}),S.edges.push({source:{node_id:Pt,field:"height"},destination:{node_id:ae,field:"height"}});return S.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:o,height:f,width:d,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:v?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:h,strength:u,init_image:l.imageName},S.edges.push({source:{node_id:Fe,field:"metadata"},destination:{node_id:Se,field:"metadata"}}),(_||y)&&(Bi(e,S,g),g=Sn),zi(e,S,g),Xd(e,S,ge,g),gl(e,S),$i(e,S,ge),e.system.shouldUseNSFWChecker&&Fi(e,S),e.system.shouldUseWatermarker&&Ui(e,S),S},jSe=e=>{const t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,shouldFitToWidthHeight:u,width:c,height:d,clipSkip:f,shouldUseCpuNoise:h,shouldUseNoiseSettings:p,vaePrecision:m,seamlessXAxis:b,seamlessYAxis:_}=e.generation,{positiveStylePrompt:y,negativeStylePrompt:g,shouldConcatSDXLStylePrompt:v,shouldUseSDXLRefiner:S,refinerStart:w,sdxlImg2ImgDenoisingStrength:C}=e.sdxl;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");let x=Yn;const A=p?h:po.shouldUseCpuNoise,{craftedPositiveStylePrompt:T,craftedNegativeStylePrompt:P}=Du(e,v),L={id:uv,nodes:{[x]:{type:"sdxl_model_loader",id:x,model:i},[ye]:{type:"sdxl_compel_prompt",id:ye,prompt:n,style:T},[ve]:{type:"sdxl_compel_prompt",id:ve,prompt:r,style:P},[ae]:{type:"noise",id:ae,use_cpu:A},[Se]:{type:"l2i",id:Se,fp32:m==="fp32"},[ce]:{type:"denoise_latents",id:ce,cfg_scale:o,scheduler:s,steps:a,denoising_start:S?Math.min(w,1-C):1-C,denoising_end:S?w:1},[Pt]:{type:"i2l",id:Pt,fp32:m==="fp32"}},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:ce,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:ye,field:"clip"}},{source:{node_id:x,field:"clip2"},destination:{node_id:ye,field:"clip2"}},{source:{node_id:x,field:"clip"},destination:{node_id:ve,field:"clip"}},{source:{node_id:x,field:"clip2"},destination:{node_id:ve,field:"clip2"}},{source:{node_id:ye,field:"conditioning"},destination:{node_id:ce,field:"positive_conditioning"}},{source:{node_id:ve,field:"conditioning"},destination:{node_id:ce,field:"negative_conditioning"}},{source:{node_id:ae,field:"noise"},destination:{node_id:ce,field:"noise"}},{source:{node_id:Pt,field:"latents"},destination:{node_id:ce,field:"latents"}},{source:{node_id:ce,field:"latents"},destination:{node_id:Se,field:"latents"}}]};if(u&&(l.width!==c||l.height!==d)){const R={id:Io,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:c,height:d};L.nodes[Io]=R,L.edges.push({source:{node_id:Io,field:"image"},destination:{node_id:Pt,field:"image"}}),L.edges.push({source:{node_id:Io,field:"width"},destination:{node_id:ae,field:"width"}}),L.edges.push({source:{node_id:Io,field:"height"},destination:{node_id:ae,field:"height"}})}else L.nodes[Pt].image={image_name:l.imageName},L.edges.push({source:{node_id:Pt,field:"width"},destination:{node_id:ae,field:"width"}}),L.edges.push({source:{node_id:Pt,field:"height"},destination:{node_id:ae,field:"height"}});return L.nodes[Fe]={id:Fe,type:"metadata_accumulator",generation_mode:"sdxl_img2img",cfg_scale:o,height:d,width:c,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:A?"cpu":"cuda",scheduler:s,vae:void 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t=re("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,width:l,height:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,vaePrecision:h,seamlessXAxis:p,seamlessYAxis:m}=e.generation,{positiveStylePrompt:b,negativeStylePrompt:_,shouldUseSDXLRefiner:y,shouldConcatSDXLStylePrompt:g,refinerStart:v}=e.sdxl,S=f?d:po.shouldUseCpuNoise;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const{craftedPositiveStylePrompt:w,craftedNegativeStylePrompt:C}=Du(e,g);let x=Yn;const 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s={type:"open"};this.query.sid&&(s.data=`{"sid":"${this.query.sid}"}`),this.writer.write(s).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;this.writer.write(r).then(()=>{i&&UE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const M2e={websocket:R2e,webtransport:I2e,polling:P2e},N2e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,D2e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function cC(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=N2e.exec(e||""),o={},s=14;for(;s--;)o[D2e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=L2e(o,o.path),o.queryKey=$2e(o,o.query),o}function L2e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function $2e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let WB=class dc extends gn{constructor(t,n={}){super(),this.binaryType=O2e,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=cC(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=cC(n.host).host),db(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=x2e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=zB,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new M2e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&dc.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;dc.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;dc.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",dc.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),this.resetPingTimeout(),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=b2e(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){dc.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};WB.protocol=zB;function F2e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=cC(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const B2e=typeof ArrayBuffer=="function",z2e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,qB=Object.prototype.toString,U2e=typeof Blob=="function"||typeof Blob<"u"&&qB.call(Blob)==="[object BlobConstructor]",j2e=typeof File=="function"||typeof File<"u"&&qB.call(File)==="[object FileConstructor]";function jE(e){return B2e&&(e instanceof ArrayBuffer||z2e(e))||U2e&&e instanceof Blob||j2e&&e instanceof File}function T0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(T0(e[n]))return!0;return!1}if(jE(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return T0(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&T0(e[n]))return!0;return!1}function V2e(e){const t=[],n=e.data,r=e;return r.data=dC(n,t),r.attachments=t.length,{packet:r,buffers:t}}function dC(e,t){if(!e)return e;if(jE(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=dC(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=dC(e[r],t));return n}return e}function G2e(e,t){return e.data=fC(e.data,t),delete e.attachments,e}function fC(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=fC(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=fC(e[n],t));return e}const H2e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],W2e=5;var Ge;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Ge||(Ge={}));class q2e{constructor(t){this.replacer=t}encode(t){return(t.type===Ge.EVENT||t.type===Ge.ACK)&&T0(t)?this.encodeAsBinary({type:t.type===Ge.EVENT?Ge.BINARY_EVENT:Ge.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===Ge.BINARY_EVENT||t.type===Ge.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=V2e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function zP(e){return Object.prototype.toString.call(e)==="[object Object]"}class VE extends gn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===Ge.BINARY_EVENT;r||n.type===Ge.BINARY_ACK?(n.type=r?Ge.EVENT:Ge.ACK,this.reconstructor=new K2e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(jE(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(Ge[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===Ge.BINARY_EVENT||r.type===Ge.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(VE.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case Ge.CONNECT:return zP(n);case Ge.DISCONNECT:return n===void 0;case Ge.CONNECT_ERROR:return typeof n=="string"||zP(n);case Ge.EVENT:case Ge.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&H2e.indexOf(n[0])===-1);case Ge.ACK:case Ge.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class K2e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=G2e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const X2e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:VE,Encoder:q2e,get PacketType(){return Ge},protocol:W2e},Symbol.toStringTag,{value:"Module"}));function Xi(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const Y2e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class KB extends gn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Xi(t,"open",this.onopen.bind(this)),Xi(t,"packet",this.onpacket.bind(this)),Xi(t,"error",this.onerror.bind(this)),Xi(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(Y2e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:Ge.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:Ge.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Ge.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Ge.EVENT:case Ge.BINARY_EVENT:this.onevent(t);break;case Ge.ACK:case Ge.BINARY_ACK:this.onack(t);break;case Ge.DISCONNECT:this.ondisconnect();break;case Ge.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:Ge.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Ge.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of 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s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const XEe=(e,t)=>e.depth-t.depth;class YEe{constructor(){this.children=[],this.isDirty=!1}add(t){_4(this.children,t),this.isDirty=!0}remove(t){b4(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(XEe),this.isDirty=!1,this.children.forEach(t)}}function ZEe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(zs(r),e(o-t))};return St.read(r,!0),()=>zs(r)}function QEe(e){window.MotionDebug&&window.MotionDebug.record(e)}function JEe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function e4e(e,t,n){const r=qr(e)?e:kd(e);return r.start(v4("",r,t,n)),r.animation}const ZO=["","X","Y","Z"],QO=1e3;let t4e=0;const Ml={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function MU({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=t4e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ml.totalNodes=Ml.resolvedTargetDeltas=Ml.recalculatedProjection=0,this.nodes.forEach(i4e),this.nodes.forEach(u4e),this.nodes.forEach(c4e),this.nodes.forEach(o4e),QEe(Ml)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new YEe)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new S4),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=JEe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=ZEe(f,250),N0.hasAnimatedSinceResize&&(N0.hasAnimatedSinceResize=!1,this.nodes.forEach(eR))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||g4e,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),y=!this.targetLayout||!IU(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(y||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const v={...yU(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(v.delay=0,v.type=!1),this.startAnimation(v)}else f||eR(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,zs(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(d4e),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(JO);return}this.isUpdating||this.nodes.forEach(a4e),this.isUpdating=!1,this.nodes.forEach(l4e),this.nodes.forEach(n4e),this.nodes.forEach(r4e),this.clearAllSnapshots();const a=performance.now();sr.delta=Qa(0,1e3/60,a-sr.timestamp),sr.timestamp=a,sr.isProcessing=!0,D2.update.process(sr),D2.preRender.process(sr),D2.render.process(sr),sr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(s4e),this.sharedNodes.forEach(f4e)}scheduleUpdateProjection(){St.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){St.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=fn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!RU(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;s&&(a||Il(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),m4e(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return fn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(la(a.x,l.offset.x),la(a.y,l.offset.y)),a}removeElementScroll(s){const a=fn();_i(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){_i(a,s);const{scroll:f}=this.root;f&&(la(a.x,-f.offset.x),la(a.y,-f.offset.y))}la(a.x,c.offset.x),la(a.y,c.offset.y)}}return a}applyTransform(s,a=!1){const l=fn();_i(l,s);for(let u=0;u<this.path.length;u++){const c=this.path[u];!a&&c.options.layoutScroll&&c.scroll&&c!==c.root&&Oc(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),Il(c.latestValues)&&Oc(l,c.latestValues)}return Il(this.latestValues)&&Oc(l,this.latestValues),l}removeTransform(s){const a=fn();_i(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Il(u.latestValues))continue;IC(u.latestValues)&&u.updateSnapshot();const c=fn(),d=u.measurePageBox();_i(c,d),qO(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return Il(this.latestValues)&&qO(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==sr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=sr.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=fn(),this.relativeTargetOrigin=fn(),dh(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),_i(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=fn(),this.targetWithTransforms=fn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),yEe(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):_i(this.target,this.layout.layoutBox),TU(this.target,this.targetDelta)):_i(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=fn(),this.relativeTargetOrigin=fn(),dh(this.relativeTargetOrigin,this.target,h.target),_i(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ml.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||IC(this.parent.latestValues)||EU(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===sr.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;_i(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;TEe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:p}=a;if(!p){this.projectionTransform&&(this.projectionDelta=Pc(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Pc(),this.projectionDeltaWithTransform=Pc());const m=this.projectionTransform;ch(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=YO(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Ml.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=Pc();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const f=fn(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,b=this.getStack(),_=!b||b.members.length<=1,y=!!(m&&!_&&this.options.crossfade===!0&&!this.path.some(p4e));this.animationProgress=0;let g;this.mixTargetDelta=v=>{const S=v/1e3;tR(d.x,s.x,S),tR(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(dh(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),h4e(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&qEe(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=fn()),_i(g,this.relativeTarget)),m&&(this.animationValues=c,UEe(c,u,this.latestValues,S,y,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(zs(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=St.update(()=>{N0.hasAnimatedSinceResize=!0,this.currentAnimation=e4e(0,QO,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(QO),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&NU(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||fn();const d=li(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=li(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}_i(a,l),Oc(a,c),ch(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new KEe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c<ZO.length;c++){const d="rotate"+ZO[c];l[d]&&(u[d]=l[d],s.setStaticValue(d,0))}s.render();for(const c in u)s.setStaticValue(c,u[c]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=M0(s.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=M0(s.pointerEvents)||""),this.hasProjected&&!Il(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=YO(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(a=f.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in pv){if(f[m]===void 0)continue;const{correct:b,applyTo:_}=pv[m],y=u.transform==="none"?f[m]:b(f[m],d);if(_){const g=_.length;for(let v=0;v<g;v++)u[_[v]]=y}else u[m]=y}return this.options.layoutId&&(u.pointerEvents=d===this?M0(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(JO),this.root.sharedNodes.clear()}}}function n4e(e){e.updateLayout()}function r4e(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?Co(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=li(f);f.min=r[d].min,f.max=f.min+h}):NU(o,n.layoutBox,r)&&Co(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=li(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=Pc();ch(a,r,n.layoutBox);const l=Pc();s?ch(l,e.applyTransform(i,!0),n.measuredBox):ch(l,r,n.layoutBox);const u=!RU(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=fn();dh(p,n.layoutBox,f.layoutBox);const m=fn();dh(m,r,h.layoutBox),IU(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function i4e(e){Ml.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function o4e(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function s4e(e){e.clearSnapshot()}function JO(e){e.clearMeasurements()}function a4e(e){e.isLayoutDirty=!1}function l4e(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function eR(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function u4e(e){e.resolveTargetDelta()}function c4e(e){e.calcProjection()}function d4e(e){e.resetRotation()}function f4e(e){e.removeLeadSnapshot()}function tR(e,t,n){e.translate=qt(t.translate,0,n),e.scale=qt(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function nR(e,t,n,r){e.min=qt(t.min,n.min,r),e.max=qt(t.max,n.max,r)}function h4e(e,t,n,r){nR(e.x,t.x,n.x,r),nR(e.y,t.y,n.y,r)}function p4e(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const g4e={duration:.45,ease:[.4,0,.1,1]},rR=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),iR=rR("applewebkit/")&&!rR("chrome/")?Math.round:tn;function oR(e){e.min=iR(e.min),e.max=iR(e.max)}function m4e(e){oR(e.x),oR(e.y)}function NU(e,t,n){return e==="position"||e==="preserve-aspect"&&!OC(XO(t),XO(n),.2)}const y4e=MU({attachResizeListener:(e,t)=>Cs(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),W2={current:void 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0&&qr(f)&&(f.set(a[d],!1),bv(u)&&u.add(d))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,uR.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),$U.current||R4e(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:DC.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){uR.delete(this.current),this.projection&&this.projection.unmount(),zs(this.notifyUpdate),zs(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in 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this.makeTargetAnimatableFromInstance(t,this.props,n)}update(t,n){(t.transformTemplate||this.props.transformTemplate)&&this.scheduleRender(),this.prevProps=this.props,this.props=t,this.prevPresenceContext=this.presenceContext,this.presenceContext=n;for(let r=0;r<cR.length;r++){const i=cR[r];this.propEventSubscriptions[i]&&(this.propEventSubscriptions[i](),delete this.propEventSubscriptions[i]);const o=t["on"+i];o&&(this.propEventSubscriptions[i]=this.on(i,o))}this.prevMotionValues=I4e(this,this.scrapeMotionValuesFromProps(t,this.prevProps),this.prevMotionValues),this.handleChildMotionValue&&this.handleChildMotionValue()}getProps(){return this.props}getVariant(t){return this.props.variants?this.props.variants[t]:void 0}getDefaultTransition(){return this.props.transition}getTransformPagePoint(){return this.props.transformPagePoint}getClosestVariantNode(){return this.isVariantNode?this:this.parent?this.parent.getClosestVariantNode():void 0}getVariantContext(t=!1){if(t)return 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b=t.code,{isTop:_,isRight:y,isLeft:g,isBottom:v,maxScroll:S,minScroll:w}=oj(m),C=l6e(m),x={x:Math.min(b===_t.Right?C.right-C.width/2:C.right,Math.max(b===_t.Right?C.left:C.left+C.width/2,d.x)),y:Math.min(b===_t.Down?C.bottom-C.height/2:C.bottom,Math.max(b===_t.Down?C.top:C.top+C.height/2,d.y))},A=b===_t.Right&&!y||b===_t.Left&&!g,T=b===_t.Down&&!v||b===_t.Up&&!_;if(A&&x.x!==d.x){const P=m.scrollLeft+f.x,L=b===_t.Right&&P<=S.x||b===_t.Left&&P>=w.x;if(L&&!f.y){m.scrollTo({left:P,behavior:a});return}L?h.x=m.scrollLeft-P:h.x=b===_t.Right?m.scrollLeft-S.x:m.scrollLeft-w.x,h.x&&m.scrollBy({left:-h.x,behavior:a});break}else if(T&&x.y!==d.y){const P=m.scrollTop+f.y,L=b===_t.Down&&P<=S.y||b===_t.Up&&P>=w.y;if(L&&!f.x){m.scrollTo({top:P,behavior:a});return}L?h.y=m.scrollTop-P:h.y=b===_t.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,ed(Av(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}uj.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=lj,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function bR(e){return!!(e&&"distance"in e)}function SR(e){return!!(e&&"delay"in e)}class P4{constructor(t,n,r){var i;r===void 0&&(r=f6e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=tf(s),this.documentListeners=new fh(this.document),this.listeners=new fh(r),this.windowListeners=new fh(Ir(s)),this.initialCoordinates=(i=Lp(o))!=null?i:ho,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(Si.Resize,this.handleCancel),this.windowListeners.add(Si.DragStart,_R),this.windowListeners.add(Si.VisibilityChange,this.handleCancel),this.windowListeners.add(Si.ContextMenu,_R),this.documentListeners.add(Si.Keydown,this.handleKeydown),n){if(bR(n))return;if(SR(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(Si.Click,h6e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Si.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=Lp(t))!=null?n:ho,u=Av(i,l);if(!r&&a){if(SR(a))return Y2(u,a.tolerance)?this.handleCancel():void 0;if(bR(a))return a.tolerance!=null&&Y2(u,a.tolerance)?this.handleCancel():Y2(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===_t.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const g6e={move:{name:"pointermove"},end:{name:"pointerup"}};class cj extends P4{constructor(t){const{event:n}=t,r=tf(n.target);super(t,g6e,r)}}cj.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const m6e={move:{name:"mousemove"},end:{name:"mouseup"}};var GC;(function(e){e[e.RightClick=2]="RightClick"})(GC||(GC={}));class dj extends P4{constructor(t){super(t,m6e,tf(t.event.target))}}dj.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===GC.RightClick?!1:(r==null||r({event:n}),!0)}}];const Z2={move:{name:"touchmove"},end:{name:"touchend"}};class fj extends P4{constructor(t){super(t,Z2)}static setup(){return window.addEventListener(Z2.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(Z2.move.name,t)};function t(){}}}fj.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var hh;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(hh||(hh={}));var Pv;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(Pv||(Pv={}));function y6e(e){let{acceleration:t,activator:n=hh.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=Pv.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=_6e({delta:d,disabled:!o}),[p,m]=ATe(),b=I.useRef({x:0,y:0}),_=I.useRef({x:0,y:0}),y=I.useMemo(()=>{switch(n){case hh.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case hh.DraggableRect:return i}},[n,i,l]),g=I.useRef(null),v=I.useCallback(()=>{const w=g.current;if(!w)return;const C=b.current.x*_.current.x,x=b.current.y*_.current.y;w.scrollBy(C,x)},[]),S=I.useMemo(()=>a===Pv.TreeOrder?[...u].reverse():u,[a,u]);I.useEffect(()=>{if(!o||!u.length||!y){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const C=u.indexOf(w),x=c[C];if(!x)continue;const{direction:A,speed:T}=a6e(w,x,y,t,f);for(const P of["x","y"])h[P][A[P]]||(T[P]=0,A[P]=0);if(T.x>0||T.y>0){m(),g.current=w,p(v,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,v,r,m,o,s,JSON.stringify(y),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const v6e={x:{[Nn.Backward]:!1,[Nn.Forward]:!1},y:{[Nn.Backward]:!1,[Nn.Forward]:!1}};function _6e(e){let{delta:t,disabled:n}=e;const r=Tv(t);return Ig(i=>{if(n||!r||!i)return v6e;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[Nn.Backward]:i.x[Nn.Backward]||o.x===-1,[Nn.Forward]:i.x[Nn.Forward]||o.x===1},y:{[Nn.Backward]:i.y[Nn.Backward]||o.y===-1,[Nn.Forward]:i.y[Nn.Forward]||o.y===1}}},[n,t,r])}function b6e(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Ig(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function S6e(e,t){return I.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var Fp;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(Fp||(Fp={}));var HC;(function(e){e.Optimized="optimized"})(HC||(HC={}));const wR=new Map;function w6e(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=I.useState(null),{frequency:a,measure:l,strategy:u}=i,c=I.useRef(e),d=b(),f=Dp(d),h=I.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(y=>y===null?_:y.concat(_.filter(g=>!y.includes(g))))},[f]),p=I.useRef(null),m=Ig(_=>{if(d&&!n)return wR;if(!_||_===wR||c.current!==e||o!=null){const y=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){y.set(g.id,g.rect.current);continue}const v=g.node.current,S=v?new k4(l(v),v):null;g.rect.current=S,S&&y.set(g.id,S)}return y}return _},[e,o,n,d,l]);return I.useEffect(()=>{c.current=e},[e]),I.useEffect(()=>{d||h()},[n,d]),I.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),I.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case Fp.Always:return!1;case Fp.BeforeDragging:return n;default:return!n}}}function O4(e,t){return Ig(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function x6e(e,t){return O4(e,t)}function C6e(e){let{callback:t,disabled:n}=e;const r=Eb(t),i=I.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return I.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function Ab(e){let{callback:t,disabled:n}=e;const r=Eb(t),i=I.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return I.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function E6e(e){return new k4(Mg(e),e)}function xR(e,t,n){t===void 0&&(t=E6e);const[r,i]=I.useReducer(a,null),o=C6e({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=Ab({callback:i});return Yo(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function T6e(e){const t=O4(e);return JU(e,t)}const CR=[];function A6e(e){const t=I.useRef(e),n=Ig(r=>e?r&&r!==CR&&e&&t.current&&e.parentNode===t.current.parentNode?r:A4(e):CR,[e]);return I.useEffect(()=>{t.current=e},[e]),n}function k6e(e){const[t,n]=I.useState(null),r=I.useRef(e),i=I.useCallback(o=>{const s=X2(o.target);s&&n(a=>a?(a.set(s,VC(s)),new Map(a)):null)},[]);return I.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=X2(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,VC(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=X2(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),I.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>ed(o,s),ho):sj(e):ho,[e,t])}function ER(e,t){t===void 0&&(t=[]);const n=I.useRef(null);return I.useEffect(()=>{n.current=null},t),I.useEffect(()=>{const r=e!==ho;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?Av(e,n.current):ho}function P6e(e){I.useEffect(()=>{if(!Cb)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function O6e(e,t){return I.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function hj(e){return I.useMemo(()=>e?r6e(e):null,[e])}const Q2=[];function R6e(e,t){t===void 0&&(t=Mg);const[n]=e,r=hj(n?Ir(n):null),[i,o]=I.useReducer(a,Q2),s=Ab({callback:o});return e.length>0&&i===Q2&&o(),Yo(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>ij(l)?r:new k4(t(l),l)):Q2}}function pj(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Rg(t)?t:e}function I6e(e){let{measure:t}=e;const[n,r]=I.useState(null),i=I.useCallback(u=>{for(const{target:c}of u)if(Rg(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=Ab({callback:i}),s=I.useCallback(u=>{const c=pj(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=Ev(s);return I.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const M6e=[{sensor:cj,options:{}},{sensor:uj,options:{}}],N6e={current:{}},D0={draggable:{measure:vR},droppable:{measure:vR,strategy:Fp.WhileDragging,frequency:HC.Optimized},dragOverlay:{measure:Mg}};class ph extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const D6e={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new ph,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:kv},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:D0,measureDroppableContainers:kv,windowRect:null,measuringScheduled:!1},gj={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:kv,draggableNodes:new Map,over:null,measureDroppableContainers:kv},Ng=I.createContext(gj),mj=I.createContext(D6e);function L6e(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new ph}}}function $6e(e,t){switch(t.type){case bn.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case bn.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case bn.DragEnd:case bn.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case bn.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new ph(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case bn.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const s=new ph(e.droppable.containers);return s.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:s}}}case bn.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new ph(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function F6e(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=I.useContext(Ng),o=Tv(r),s=Tv(n==null?void 0:n.id);return I.useEffect(()=>{if(!t&&!r&&o&&s!=null){if(!T4(o)||document.activeElement===o.target)return;const a=i.get(s);if(!a)return;const{activatorNode:l,node:u}=a;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=OTe(c);if(d){d.focus();break}}})}},[r,t,i,s,o]),null}function yj(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function B6e(e){return I.useMemo(()=>({draggable:{...D0.draggable,...e==null?void 0:e.draggable},droppable:{...D0.droppable,...e==null?void 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new file mode 100644
index 0000000000..2e689a3aaf
--- /dev/null
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least":"over"} ${e.minimum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${e.minimum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${new Date(Number(e.minimum))}`:n="Invalid input";break;case ce.too_big:e.type==="array"?n=`Array must contain ${e.exact?"exactly":e.inclusive?"at most":"less than"} ${e.maximum} element(s)`:e.type==="string"?n=`String must contain ${e.exact?"exactly":e.inclusive?"at most":"under"} ${e.maximum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="bigint"?n=`BigInt must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly":e.inclusive?"smaller than or equal to":"smaller than"} ${new Date(Number(e.maximum))}`:n="Invalid input";break;case ce.custom:n="Invalid input";break;case ce.invalid_intersection_types:n="Intersection results could not be merged";break;case ce.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case ce.not_finite:n="Number must be finite";break;default:n=t.defaultError,Ut.assertNever(e)}return{message:n}};let X7=rg;function ete(e){X7=e}function Iv(){return X7}const Mv=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],s={...i,path:o};let a="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)a=u(s,{data:t,defaultError:a}).message;return{...i,path:o,message:i.message||a}},tte=[];function Pe(e,t){const n=Mv({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,Iv(),rg].filter(r=>!!r)});e.common.issues.push(n)}class Fi{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return ct;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Fi.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return ct;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const ct=Object.freeze({status:"aborted"}),Q7=e=>({status:"dirty",value:e}),Xi=e=>({status:"valid",value:e}),uC=e=>e.status==="aborted",cC=e=>e.status==="dirty",ig=e=>e.status==="valid",Nv=e=>typeof Promise<"u"&&e instanceof Promise;var Ze;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Ze||(Ze={}));class pa{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const Uk=(e,t)=>{if(ig(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Rs(e.common.issues);return this._error=n,this._error}}};function gt(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class bt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return Nl(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:Nl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Fi,ctx:{common:t.parent.common,data:t.data,parsedType:Nl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(Nv(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Nl(t)},o=this._parseSync({data:t,path:i.path,parent:i});return Uk(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Nl(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(Nv(i)?i:Promise.resolve(i));return Uk(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:ce.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new Ds({schema:this,typeName:nt.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Ka.create(this,this._def)}nullable(){return Ec.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Os.create(this,this._def)}promise(){return Rf.create(this,this._def)}or(t){return lg.create([this,t],this._def)}and(t){return ug.create(this,t,this._def)}transform(t){return new Ds({...gt(this._def),schema:this,typeName:nt.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new pg({...gt(this._def),innerType:this,defaultValue:n,typeName:nt.ZodDefault})}brand(){return new Z7({typeName:nt.ZodBranded,type:this,...gt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new Fv({...gt(this._def),innerType:this,catchValue:n,typeName:nt.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return bm.create(this,t)}readonly(){return zv.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const nte=/^c[^\s-]{8,}$/i,rte=/^[a-z][a-z0-9]*$/,ite=/[0-9A-HJKMNP-TV-Z]{26}/,ote=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,ste=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,ate=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,lte=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,ute=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,cte=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function dte(e,t){return!!((t==="v4"||!t)&&lte.test(e)||(t==="v6"||!t)&&ute.test(e))}class Ts extends bt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:ce.invalid_string,...Ze.errToObj(r)}),this.nonempty=t=>this.min(1,Ze.errToObj(t)),this.trim=()=>new Ts({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Ts({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ts({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==ke.string){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.string,received:o.parsedType}),ct}const r=new Fi;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Pe(i,{code:ce.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Pe(i,{code:ce.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")ste.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"email",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")ate.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"emoji",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")ote.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"uuid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")nte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"cuid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")rte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"cuid2",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")ite.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"ulid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Pe(i,{validation:"url",code:ce.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"regex",code:ce.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?cte(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?dte(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"ip",code:ce.invalid_string,message:o.message}),r.dirty()):Ut.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Ts({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Ze.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Ze.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Ze.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Ze.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Ze.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Ze.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Ze.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Ze.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Ze.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Ze.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Ze.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Ze.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Ze.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Ze.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Ze.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Ze.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ts.create=e=>{var t;return new Ts({checks:[],typeName:nt.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...gt(e)})};function fte(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class du extends bt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==ke.number){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.number,received:o.parsedType}),ct}let r;const i=new Fi;for(const o of this._def.checks)o.kind==="int"?Ut.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?fte(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_finite,message:o.message}),i.dirty()):Ut.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new du({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new du({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Ze.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Ze.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Ze.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Ze.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Ut.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}du.create=e=>new du({checks:[],typeName:nt.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...gt(e)});class fu extends bt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==ke.bigint){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.bigint,received:o.parsedType}),ct}let r;const i=new Fi;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Ut.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new fu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new fu({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}fu.create=e=>{var t;return new fu({checks:[],typeName:nt.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...gt(e)})};class og extends bt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==ke.boolean){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.boolean,received:r.parsedType}),ct}return Xi(t.data)}}og.create=e=>new og({typeName:nt.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...gt(e)});class xc extends bt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==ke.date){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.date,received:o.parsedType}),ct}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_date}),ct}const r=new Fi;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Ut.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new xc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Ze.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Ze.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}xc.create=e=>new xc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:nt.ZodDate,...gt(e)});class Dv extends bt{_parse(t){if(this._getType(t)!==ke.symbol){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.symbol,received:r.parsedType}),ct}return Xi(t.data)}}Dv.create=e=>new Dv({typeName:nt.ZodSymbol,...gt(e)});class sg extends bt{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.undefined,received:r.parsedType}),ct}return Xi(t.data)}}sg.create=e=>new sg({typeName:nt.ZodUndefined,...gt(e)});class ag extends bt{_parse(t){if(this._getType(t)!==ke.null){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.null,received:r.parsedType}),ct}return Xi(t.data)}}ag.create=e=>new ag({typeName:nt.ZodNull,...gt(e)});class Pf extends bt{constructor(){super(...arguments),this._any=!0}_parse(t){return Xi(t.data)}}Pf.create=e=>new Pf({typeName:nt.ZodAny,...gt(e)});class hc extends bt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Xi(t.data)}}hc.create=e=>new hc({typeName:nt.ZodUnknown,...gt(e)});class ol extends bt{_parse(t){const n=this._getOrReturnCtx(t);return Pe(n,{code:ce.invalid_type,expected:ke.never,received:n.parsedType}),ct}}ol.create=e=>new ol({typeName:nt.ZodNever,...gt(e)});class Lv extends bt{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.void,received:r.parsedType}),ct}return Xi(t.data)}}Lv.create=e=>new Lv({typeName:nt.ZodVoid,...gt(e)});class Os extends bt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==ke.array)return Pe(n,{code:ce.invalid_type,expected:ke.array,received:n.parsedType}),ct;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Pe(n,{code:s?ce.too_big:ce.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Pe(n,{code:ce.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Pe(n,{code:ce.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new pa(n,s,n.path,a)))).then(s=>Fi.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new pa(n,s,n.path,a)));return Fi.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Os({...this._def,minLength:{value:t,message:Ze.toString(n)}})}max(t,n){return new Os({...this._def,maxLength:{value:t,message:Ze.toString(n)}})}length(t,n){return new Os({...this._def,exactLength:{value:t,message:Ze.toString(n)}})}nonempty(t){return this.min(1,t)}}Os.create=(e,t)=>new Os({type:e,minLength:null,maxLength:null,exactLength:null,typeName:nt.ZodArray,...gt(t)});function wd(e){if(e instanceof Zn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ka.create(wd(r))}return new Zn({...e._def,shape:()=>t})}else return e instanceof Os?new Os({...e._def,type:wd(e.element)}):e instanceof Ka?Ka.create(wd(e.unwrap())):e instanceof Ec?Ec.create(wd(e.unwrap())):e instanceof ga?ga.create(e.items.map(t=>wd(t))):e}class Zn extends bt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Ut.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==ke.object){const u=this._getOrReturnCtx(t);return Pe(u,{code:ce.invalid_type,expected:ke.object,received:u.parsedType}),ct}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof ol&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new pa(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof ol){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(Pe(i,{code:ce.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new pa(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>Fi.mergeObjectSync(r,u)):Fi.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Ze.errToObj,new Zn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Ze.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Zn({...this._def,unknownKeys:"strip"})}passthrough(){return new Zn({...this._def,unknownKeys:"passthrough"})}extend(t){return new Zn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Zn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:nt.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Zn({...this._def,catchall:t})}pick(t){const n={};return Ut.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Zn({...this._def,shape:()=>n})}omit(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Zn({...this._def,shape:()=>n})}deepPartial(){return wd(this)}partial(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Zn({...this._def,shape:()=>n})}required(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ka;)o=o._def.innerType;n[r]=o}}),new Zn({...this._def,shape:()=>n})}keyof(){return Y7(Ut.objectKeys(this.shape))}}Zn.create=(e,t)=>new Zn({shape:()=>e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});Zn.strictCreate=(e,t)=>new Zn({shape:()=>e,unknownKeys:"strict",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});Zn.lazycreate=(e,t)=>new Zn({shape:e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});class lg extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Rs(a.ctx.common.issues));return Pe(n,{code:ce.invalid_union,unionErrors:s}),ct}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Rs(l));return Pe(n,{code:ce.invalid_union,unionErrors:a}),ct}}get options(){return this._def.options}}lg.create=(e,t)=>new lg({options:e,typeName:nt.ZodUnion,...gt(t)});const k0=e=>e instanceof dg?k0(e.schema):e instanceof Ds?k0(e.innerType()):e instanceof fg?[e.value]:e instanceof hu?e.options:e instanceof hg?Object.keys(e.enum):e instanceof pg?k0(e._def.innerType):e instanceof sg?[void 0]:e instanceof ag?[null]:null;class P_ extends bt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.object)return Pe(n,{code:ce.invalid_type,expected:ke.object,received:n.parsedType}),ct;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Pe(n,{code:ce.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ct)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=k0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new P_({typeName:nt.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...gt(r)})}}function dC(e,t){const n=Nl(e),r=Nl(t);if(e===t)return{valid:!0,data:e};if(n===ke.object&&r===ke.object){const i=Ut.objectKeys(t),o=Ut.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=dC(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===ke.array&&r===ke.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=dC(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===ke.date&&r===ke.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class ug extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(uC(o)||uC(s))return ct;const a=dC(o.value,s.value);return a.valid?((cC(o)||cC(s))&&n.dirty(),{status:n.value,value:a.data}):(Pe(r,{code:ce.invalid_intersection_types}),ct)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}ug.create=(e,t,n)=>new ug({left:e,right:t,typeName:nt.ZodIntersection,...gt(n)});class ga extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.array)return Pe(r,{code:ce.invalid_type,expected:ke.array,received:r.parsedType}),ct;if(r.data.length<this._def.items.length)return Pe(r,{code:ce.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),ct;!this._def.rest&&r.data.length>this._def.items.length&&(Pe(r,{code:ce.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new pa(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Fi.mergeArray(n,s)):Fi.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new ga({...this._def,rest:t})}}ga.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new ga({items:e,typeName:nt.ZodTuple,rest:null,...gt(t)})};class cg extends bt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.object)return Pe(r,{code:ce.invalid_type,expected:ke.object,received:r.parsedType}),ct;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new pa(r,a,r.path,a)),value:s._parse(new pa(r,r.data[a],r.path,a))});return r.common.async?Fi.mergeObjectAsync(n,i):Fi.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof bt?new cg({keyType:t,valueType:n,typeName:nt.ZodRecord,...gt(r)}):new cg({keyType:Ts.create(),valueType:t,typeName:nt.ZodRecord,...gt(n)})}}class $v extends bt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.map)return Pe(r,{code:ce.invalid_type,expected:ke.map,received:r.parsedType}),ct;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new pa(r,a,r.path,[u,"key"])),value:o._parse(new pa(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}$v.create=(e,t,n)=>new $v({valueType:t,keyType:e,typeName:nt.ZodMap,...gt(n)});class Cc extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.set)return Pe(r,{code:ce.invalid_type,expected:ke.set,received:r.parsedType}),ct;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Pe(r,{code:ce.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Pe(r,{code:ce.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return ct;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new pa(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new Cc({...this._def,minSize:{value:t,message:Ze.toString(n)}})}max(t,n){return new Cc({...this._def,maxSize:{value:t,message:Ze.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Cc.create=(e,t)=>new Cc({valueType:e,minSize:null,maxSize:null,typeName:nt.ZodSet,...gt(t)});class of extends bt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.function)return Pe(n,{code:ce.invalid_type,expected:ke.function,received:n.parsedType}),ct;function r(a,l){return Mv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Iv(),rg].filter(u=>!!u),issueData:{code:ce.invalid_arguments,argumentsError:l}})}function i(a,l){return Mv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Iv(),rg].filter(u=>!!u),issueData:{code:ce.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof Rf){const a=this;return Xi(async function(...l){const u=new Rs([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return Xi(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new Rs([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new Rs([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new of({...this._def,args:ga.create(t).rest(hc.create())})}returns(t){return new of({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new of({args:t||ga.create([]).rest(hc.create()),returns:n||hc.create(),typeName:nt.ZodFunction,...gt(r)})}}class dg extends bt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}dg.create=(e,t)=>new dg({getter:e,typeName:nt.ZodLazy,...gt(t)});class fg extends bt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Pe(n,{received:n.data,code:ce.invalid_literal,expected:this._def.value}),ct}return{status:"valid",value:t.data}}get value(){return this._def.value}}fg.create=(e,t)=>new fg({value:e,typeName:nt.ZodLiteral,...gt(t)});function Y7(e,t){return new hu({values:e,typeName:nt.ZodEnum,...gt(t)})}class hu extends bt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{expected:Ut.joinValues(r),received:n.parsedType,code:ce.invalid_type}),ct}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{received:n.data,code:ce.invalid_enum_value,options:r}),ct}return Xi(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return hu.create(t)}exclude(t){return hu.create(this.options.filter(n=>!t.includes(n)))}}hu.create=Y7;class hg extends bt{_parse(t){const n=Ut.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==ke.string&&r.parsedType!==ke.number){const i=Ut.objectValues(n);return Pe(r,{expected:Ut.joinValues(i),received:r.parsedType,code:ce.invalid_type}),ct}if(n.indexOf(t.data)===-1){const i=Ut.objectValues(n);return Pe(r,{received:r.data,code:ce.invalid_enum_value,options:i}),ct}return Xi(t.data)}get enum(){return this._def.values}}hg.create=(e,t)=>new hg({values:e,typeName:nt.ZodNativeEnum,...gt(t)});class Rf extends bt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.promise&&n.common.async===!1)return Pe(n,{code:ce.invalid_type,expected:ke.promise,received:n.parsedType}),ct;const r=n.parsedType===ke.promise?n.data:Promise.resolve(n.data);return Xi(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Rf.create=(e,t)=>new Rf({type:e,typeName:nt.ZodPromise,...gt(t)});class Ds extends bt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===nt.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{Pe(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ct:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ct:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!ig(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>ig(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Ut.assertNever(i)}}Ds.create=(e,t,n)=>new Ds({schema:e,typeName:nt.ZodEffects,effect:t,...gt(n)});Ds.createWithPreprocess=(e,t,n)=>new Ds({schema:t,effect:{type:"preprocess",transform:e},typeName:nt.ZodEffects,...gt(n)});class Ka extends bt{_parse(t){return this._getType(t)===ke.undefined?Xi(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ka.create=(e,t)=>new Ka({innerType:e,typeName:nt.ZodOptional,...gt(t)});class Ec extends bt{_parse(t){return this._getType(t)===ke.null?Xi(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ec.create=(e,t)=>new Ec({innerType:e,typeName:nt.ZodNullable,...gt(t)});class pg extends bt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===ke.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}pg.create=(e,t)=>new pg({innerType:e,typeName:nt.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...gt(t)});class Fv extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return Nv(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Rs(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Rs(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}Fv.create=(e,t)=>new Fv({innerType:e,typeName:nt.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...gt(t)});class Bv extends bt{_parse(t){if(this._getType(t)!==ke.nan){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.nan,received:r.parsedType}),ct}return{status:"valid",value:t.data}}}Bv.create=e=>new Bv({typeName:nt.ZodNaN,...gt(e)});const hte=Symbol("zod_brand");class Z7 extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class bm extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?ct:o.status==="dirty"?(n.dirty(),Q7(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?ct:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new bm({in:t,out:n,typeName:nt.ZodPipeline})}}class zv extends bt{_parse(t){const n=this._def.innerType._parse(t);return ig(n)&&(n.value=Object.freeze(n.value)),n}}zv.create=(e,t)=>new zv({innerType:e,typeName:nt.ZodReadonly,...gt(t)});const J7=(e,t={},n)=>e?Pf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):Pf.create(),pte={object:Zn.lazycreate};var nt;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(nt||(nt={}));const gte=(e,t={message:`Input not instance of ${e.name}`})=>J7(n=>n instanceof e,t),eD=Ts.create,tD=du.create,mte=Bv.create,yte=fu.create,nD=og.create,vte=xc.create,_te=Dv.create,bte=sg.create,Ste=ag.create,wte=Pf.create,xte=hc.create,Cte=ol.create,Ete=Lv.create,Tte=Os.create,Ate=Zn.create,kte=Zn.strictCreate,Pte=lg.create,Rte=P_.create,Ote=ug.create,Ite=ga.create,Mte=cg.create,Nte=$v.create,Dte=Cc.create,Lte=of.create,$te=dg.create,Fte=fg.create,Bte=hu.create,zte=hg.create,Ute=Rf.create,jk=Ds.create,jte=Ka.create,Vte=Ec.create,Gte=Ds.createWithPreprocess,Hte=bm.create,qte=()=>eD().optional(),Wte=()=>tD().optional(),Kte=()=>nD().optional(),Xte={string:e=>Ts.create({...e,coerce:!0}),number:e=>du.create({...e,coerce:!0}),boolean:e=>og.create({...e,coerce:!0}),bigint:e=>fu.create({...e,coerce:!0}),date:e=>xc.create({...e,coerce:!0})},Qte=ct;var z=Object.freeze({__proto__:null,defaultErrorMap:rg,setErrorMap:ete,getErrorMap:Iv,makeIssue:Mv,EMPTY_PATH:tte,addIssueToContext:Pe,ParseStatus:Fi,INVALID:ct,DIRTY:Q7,OK:Xi,isAborted:uC,isDirty:cC,isValid:ig,isAsync:Nv,get util(){return Ut},get objectUtil(){return lC},ZodParsedType:ke,getParsedType:Nl,ZodType:bt,ZodString:Ts,ZodNumber:du,ZodBigInt:fu,ZodBoolean:og,ZodDate:xc,ZodSymbol:Dv,ZodUndefined:sg,ZodNull:ag,ZodAny:Pf,ZodUnknown:hc,ZodNever:ol,ZodVoid:Lv,ZodArray:Os,ZodObject:Zn,ZodUnion:lg,ZodDiscriminatedUnion:P_,ZodIntersection:ug,ZodTuple:ga,ZodRecord:cg,ZodMap:$v,ZodSet:Cc,ZodFunction:of,ZodLazy:dg,ZodLiteral:fg,ZodEnum:hu,ZodNativeEnum:hg,ZodPromise:Rf,ZodEffects:Ds,ZodTransformer:Ds,ZodOptional:Ka,ZodNullable:Ec,ZodDefault:pg,ZodCatch:Fv,ZodNaN:Bv,BRAND:hte,ZodBranded:Z7,ZodPipeline:bm,ZodReadonly:zv,custom:J7,Schema:bt,ZodSchema:bt,late:pte,get ZodFirstPartyTypeKind(){return nt},coerce:Xte,any:wte,array:Tte,bigint:yte,boolean:nD,date:vte,discriminatedUnion:Rte,effect:jk,enum:Bte,function:Lte,instanceof:gte,intersection:Ote,lazy:$te,literal:Fte,map:Nte,nan:mte,nativeEnum:zte,never:Cte,null:Ste,nullable:Vte,number:tD,object:Ate,oboolean:Kte,onumber:Wte,optional:jte,ostring:qte,pipeline:Hte,preprocess:Gte,promise:Ute,record:Mte,set:Dte,strictObject:kte,string:eD,symbol:_te,transformer:jk,tuple:Ite,undefined:bte,union:Pte,unknown:xte,void:Ete,NEVER:Qte,ZodIssueCode:ce,quotelessJson:Jee,ZodError:Rs});const Yte=z.string(),Q6e=e=>Yte.safeParse(e).success,Zte=z.string(),Y6e=e=>Zte.safeParse(e).success,Jte=z.string(),Z6e=e=>Jte.safeParse(e).success,ene=z.string(),J6e=e=>ene.safeParse(e).success,tne=z.number().int().min(1),ePe=e=>tne.safeParse(e).success,nne=z.number().min(1),tPe=e=>nne.safeParse(e).success,rD=z.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),nPe=e=>rD.safeParse(e).success,rPe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},rne=z.number().int().min(0).max(Zee),iPe=e=>rne.safeParse(e).success,ine=z.number().multipleOf(8).min(64),oPe=e=>ine.safeParse(e).success,one=z.number().multipleOf(8).min(64),sPe=e=>one.safeParse(e).success,eh=z.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),R_=z.object({model_name:z.string().min(1),base_model:eh,model_type:z.literal("main")}),aPe=e=>R_.safeParse(e).success,gE=z.object({model_name:z.string().min(1),base_model:z.literal("sdxl-refiner"),model_type:z.literal("main")}),lPe=e=>gE.safeParse(e).success,iD=z.object({model_name:z.string().min(1),base_model:eh,model_type:z.literal("onnx")}),Sm=z.union([R_,iD]),sne=z.object({model_name:z.string().min(1),base_model:eh}),uPe=z.object({model_name:z.string().min(1),base_model:eh}),cPe=z.object({model_name:z.string().min(1),base_model:eh}),ane=z.number().min(0).max(1),dPe=e=>ane.safeParse(e).success;z.enum(["fp16","fp32"]);const lne=z.number().min(1).max(10),fPe=e=>lne.safeParse(e).success,une=z.number().min(1).max(10),hPe=e=>une.safeParse(e).success,cne=z.number().min(0).max(1),pPe=e=>cne.safeParse(e).success;z.enum(["box","gaussian"]);z.enum(["unmasked","mask","edge"]);const $s={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceMode:"edge",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,infillTileSize:32,infillPatchmatchDownscaleSize:1,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},dne=$s,oD=er({name:"generation",initialState:dne,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=Bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=Bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...$s}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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ye=ne[Ae],We=ye[0],Ke=ye[1];if(Oe.overrideExisting||!(We in De.endpointDefinitions)){De.endpointDefinitions[We]=Ke;for(var it=0,ot=rt;it<ot.length;it++)ot[it].injectEndpoint(We,Ke)}}return ze},enhanceEndpoints:function(Oe){var Ue=Oe.addTagTypes,Ae=Oe.endpoints;if(Ue)for(var ne=0,ye=Ue;ne<ye.length;ne++){var We=ye[ne];re.tagTypes.includes(We)||re.tagTypes.push(We)}if(Ae)for(var Ke=0,it=Object.entries(Ae);Ke<it.length;Ke++){var ot=it[Ke],ft=ot[0],vt=ot[1];typeof vt=="function"?vt(De.endpointDefinitions[ft]):Object.assign(De.endpointDefinitions[ft]||{},vt)}return ze}},rt=W.map(function(Oe){return Oe.init(ze,re,De)});return ze.injectEndpoints({endpoints:te.endpoints})}}function Ca(){return function(){throw new Error("When using `fakeBaseQuery`, all queries & mutations must use the `queryFn` definition syntax.")}}var vo,Ea=y(bo),Pn=function(W){var J=W.reducerPath,te=W.api,le=W.context,re=W.internalState,De=te.internalActions,ze=De.removeQueryResult,rt=De.unsubscribeQueryResult;function 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We=ne.queryCacheKey,Ke=ye.getState()[J].queries[We];if(Ke&&Ke.status!==t.uninitialized){var it=Ae(De.currentSubscriptions[We]);if(Number.isFinite(it)){var ot=ze[We];ot!=null&&ot.timeout&&(clearTimeout(ot.timeout),ot.timeout=void 0);var ft=Date.now()+it,vt=ze[We]={nextPollTimestamp:ft,pollingInterval:it,timeout:setTimeout(function(){vt.timeout=void 0,ye.dispatch(re(Ke,We))},it)}}}}function Oe(ne,ye){var We=ne.queryCacheKey,Ke=ye.getState()[J].queries[We];if(Ke&&Ke.status!==t.uninitialized){var it=Ae(De.currentSubscriptions[We]);if(Number.isFinite(it)){var ot=ze[We],ft=Date.now()+it;(!ot||ft<ot.nextPollTimestamp)&&rt({queryCacheKey:We},ye)}else Ue(We)}}function Ue(ne){var ye=ze[ne];ye!=null&&ye.timeout&&clearTimeout(ye.timeout),delete ze[ne]}function Ae(ne){ne===void 0&&(ne={});var ye=Number.POSITIVE_INFINITY;for(var We in ne)ne[We].pollingInterval&&(ye=Math.min(ne[We].pollingInterval,ye));return ye}return function(ne,ye){(le.internalActions.updateSubscriptionOptions.match(ne)||le.internalActions.unsubscribeQueryResult.match(ne))&&Oe(ne.payload,ye),(te.pending.match(ne)||te.rejected.match(ne)&&ne.meta.condition)&&Oe(ne.meta.arg,ye),(te.fulfilled.match(ne)||te.rejected.match(ne)&&!ne.meta.condition)&&rt(ne.meta.arg,ye),le.util.resetApiState.match(ne)&&function(){for(var We=0,Ke=Object.keys(ze);We<Ke.length;We++)Ue(Ke[We])}()}},xr=y(bo),Gr=new Error("Promise never resolved before cacheEntryRemoved."),xi=function(W){var J=W.api,te=W.reducerPath,le=W.context,re=W.queryThunk,De=W.mutationThunk,ze=(0,xr.isAsyncThunkAction)(re),rt=(0,xr.isAsyncThunkAction)(De),Oe=(0,xr.isFulfilled)(re,De),Ue={};function Ae(ne,ye,We,Ke,it){var ot=le.endpointDefinitions[ne],ft=ot==null?void 0:ot.onCacheEntryAdded;if(ft){var vt={},St=new Promise(function(fr){vt.cacheEntryRemoved=fr}),Jt=Promise.race([new Promise(function(fr){vt.valueResolved=fr}),St.then(function(){throw Gr})]);Jt.catch(function(){}),Ue[We]=vt;var en=J.endpoints[ne].select(ot.type===Q.query?ye:We),Ci=Ke.dispatch(function(fr,ai,Un){return Un}),_o=_(b({},Ke),{getCacheEntry:function(){return en(Ke.getState())},requestId:it,extra:Ci,updateCachedData:ot.type===Q.query?function(fr){return Ke.dispatch(J.util.updateQueryData(ne,ye,fr))}:void 0,cacheDataLoaded:Jt,cacheEntryRemoved:St}),Ei=ft(ye,_o);Promise.resolve(Ei).catch(function(fr){if(fr!==Gr)throw fr})}}return function(ne,ye,We){var Ke=function(en){return ze(en)?en.meta.arg.queryCacheKey:rt(en)?en.meta.requestId:J.internalActions.removeQueryResult.match(en)?en.payload.queryCacheKey:J.internalActions.removeMutationResult.match(en)?br(en.payload):""}(ne);if(re.pending.match(ne)){var it=We[te].queries[Ke],ot=ye.getState()[te].queries[Ke];!it&&ot&&Ae(ne.meta.arg.endpointName,ne.meta.arg.originalArgs,Ke,ye,ne.meta.requestId)}else if(De.pending.match(ne))(ot=ye.getState()[te].mutations[Ke])&&Ae(ne.meta.arg.endpointName,ne.meta.arg.originalArgs,Ke,ye,ne.meta.requestId);else 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tn=Je.reducerPath,Wt=Je.queryThunk,Xn=Je.mutationThunk,hr=Je.context,li=hr.endpointDefinitions,cn=hr.apiUid,kt=hr.extractRehydrationInfo,Ft=hr.hasRehydrationInfo,dn=Je.assertTagType,Kt=Je.config,on=(0,ae.createAction)(tn+"/resetApiState"),ve=(0,ae.createSlice)({name:tn+"/queries",initialState:jr,reducers:{removeQueryResult:{reducer:function(_e,se){delete _e[se.payload.queryCacheKey]},prepare:(0,ae.prepareAutoBatched)()},queryResultPatched:function(_e,se){var Se=se.payload,ue=Se.patches;An(_e,Se.queryCacheKey,function(fe){fe.data=(0,Ht.applyPatches)(fe.data,ue.concat())})}},extraReducers:function(_e){_e.addCase(Wt.pending,function(se,Se){var ue,fe=Se.meta,be=Se.meta.arg,Qe=Ne(be);(be.subscribe||Qe)&&(se[ue=be.queryCacheKey]!=null||(se[ue]={status:t.uninitialized,endpointName:be.endpointName})),An(se,be.queryCacheKey,function(Ge){Ge.status=t.pending,Ge.requestId=Qe&&Ge.requestId?Ge.requestId:fe.requestId,be.originalArgs!==void 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ue=Se.meta,fe=ue.condition,be=ue.requestId,Qe=Se.error,Ge=Se.payload;An(se,ue.arg.queryCacheKey,function(Ee){if(!fe){if(Ee.requestId!==be)return;Ee.status=t.rejected,Ee.error=Ge??Qe}})}).addMatcher(Ft,function(se,Se){for(var ue=kt(Se).queries,fe=0,be=Object.entries(ue);fe<be.length;fe++){var Qe=be[fe],Ge=Qe[1];(Ge==null?void 0:Ge.status)!==t.fulfilled&&(Ge==null?void 0:Ge.status)!==t.rejected||(se[Qe[0]]=Ge)}})}}),Xe=(0,ae.createSlice)({name:tn+"/mutations",initialState:jr,reducers:{removeMutationResult:{reducer:function(_e,se){var Se=br(se.payload);Se in _e&&delete _e[Se]},prepare:(0,ae.prepareAutoBatched)()}},extraReducers:function(_e){_e.addCase(Xn.pending,function(se,Se){var ue=Se.meta,fe=ue.requestId,be=ue.arg,Qe=ue.startedTimeStamp;be.track&&(se[br(Se.meta)]={requestId:fe,status:t.pending,endpointName:be.endpointName,startedTimeStamp:Qe})}).addCase(Xn.fulfilled,function(se,Se){var ue=Se.payload,fe=Se.meta;fe.arg.track&&eo(se,fe,function(be){be.requestId===fe.requestId&&(be.status=t.fulfilled,be.data=ue,be.fulfilledTimeStamp=fe.fulfilledTimeStamp)})}).addCase(Xn.rejected,function(se,Se){var ue=Se.payload,fe=Se.error,be=Se.meta;be.arg.track&&eo(se,be,function(Qe){Qe.requestId===be.requestId&&(Qe.status=t.rejected,Qe.error=ue??fe)})}).addMatcher(Ft,function(se,Se){for(var ue=kt(Se).mutations,fe=0,be=Object.entries(ue);fe<be.length;fe++){var Qe=be[fe],Ge=Qe[0],Ee=Qe[1];(Ee==null?void 0:Ee.status)!==t.fulfilled&&(Ee==null?void 0:Ee.status)!==t.rejected||Ge===(Ee==null?void 0:Ee.requestId)||(se[Ge]=Ee)}})}}),Le=(0,ae.createSlice)({name:tn+"/invalidation",initialState:jr,reducers:{},extraReducers:function(_e){_e.addCase(ve.actions.removeQueryResult,function(se,Se){for(var ue=Se.payload.queryCacheKey,fe=0,be=Object.values(se);fe<be.length;fe++)for(var Qe=0,Ge=Object.values(be[fe]);Qe<Ge.length;Qe++){var Ee=Ge[Qe],wt=Ee.indexOf(ue);wt!==-1&&Ee.splice(wt,1)}}).addMatcher(Ft,function(se,Se){for(var ue,fe,be,Qe,Ge=kt(Se).provided,Ee=0,wt=Object.entries(Ge);Ee<wt.length;Ee++)for(var Dt=wt[Ee],Lt=Dt[0],Qn=0,sr=Object.entries(Dt[1]);Qn<sr.length;Qn++)for(var Rn=sr[Qn],_n=Rn[0],Ui=Rn[1],$=(Qe=(fe=(ue=se[Lt])!=null?ue:se[Lt]={})[be=_n||"__internal_without_id"])!=null?Qe:fe[be]=[],G=0,X=Ui;G<X.length;G++){var de=X[G];$.includes(de)||$.push(de)}}).addMatcher((0,ae.isAnyOf)((0,ae.isFulfilled)(Wt),(0,ae.isRejectedWithValue)(Wt)),function(se,Se){for(var ue,fe,be,Qe,Ge=Tn(Se,"providesTags",li,dn),Ee=Se.meta.arg.queryCacheKey,wt=0,Dt=Object.values(se);wt<Dt.length;wt++)for(var Lt=0,Qn=Object.values(Dt[wt]);Lt<Qn.length;Lt++){var sr=Qn[Lt],Rn=sr.indexOf(Ee);Rn!==-1&&sr.splice(Rn,1)}for(var _n=0,Ui=Ge;_n<Ui.length;_n++){var $=Ui[_n],G=$.type,X=$.id,de=(Qe=(fe=(ue=se[G])!=null?ue:se[G]={})[be=X||"__internal_without_id"])!=null?Qe:fe[be]=[];de.includes(Ee)||de.push(Ee)}})}}),Ce=(0,ae.createSlice)({name:tn+"/subscriptions",initialState:jr,reducers:{updateSubscriptionOptions:function(_e,se){},unsubscribeQueryResult:function(_e,se){},internal_probeSubscription:function(_e,se){}}}),je=(0,ae.createSlice)({name:tn+"/internalSubscriptions",initialState:jr,reducers:{subscriptionsUpdated:{reducer:function(_e,se){return(0,Ht.applyPatches)(_e,se.payload)},prepare:(0,ae.prepareAutoBatched)()}}}),st=(0,ae.createSlice)({name:tn+"/config",initialState:b({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},Kt),reducers:{middlewareRegistered:function(_e,se){_e.middlewareRegistered=_e.middlewareRegistered!=="conflict"&&cn===se.payload||"conflict"}},extraReducers:function(_e){_e.addCase(U,function(se){se.online=!0}).addCase(V,function(se){se.online=!1}).addCase(I,function(se){se.focused=!0}).addCase(F,function(se){se.focused=!1}).addMatcher(Ft,function(se){return b({},se)})}}),$e=(0,ae.combineReducers)({queries:ve.reducer,mutations:Xe.reducer,provided:Le.reducer,subscriptions:je.reducer,config:st.reducer});return{reducer:function(_e,se){return $e(on.match(se)?void 0:_e,se)},actions:_(b(b(b(b(b({},st.actions),ve.actions),Ce.actions),je.actions),Xe.actions),{unsubscribeMutationResult:Xe.actions.removeMutationResult,resetApiState:on})}}({context:te,queryThunk:ye,mutationThunk:We,reducerPath:re,assertTagType:Ae,config:{refetchOnFocus:Oe,refetchOnReconnect:Ue,refetchOnMountOrArgChange:rt,keepUnusedDataFor:ze,reducerPath:re}}),Jt=St.reducer,en=St.actions;si(W.util,{patchQueryData:Ke,updateQueryData:it,upsertQueryData:ot,prefetch:ft,resetApiState:en.resetApiState}),si(W.internalActions,en);var Ci=function(Je){var tn=Je.reducerPath,Wt=Je.queryThunk,Xn=Je.api,hr=Je.context,li=hr.apiUid,cn={invalidateTags:(0,Ea.createAction)(tn+"/invalidateTags")},kt=[Ir,Pn,Or,wr,xi,oi];return{middleware:function(dn){var Kt=!1,on=_(b({},Je),{internalState:{currentSubscriptions:{}},refetchQuery:Ft}),ve=kt.map(function(Ce){return Ce(on)}),Xe=function(Ce){var je=Ce.api,st=Ce.queryThunk,$e=Ce.internalState,_e=je.reducerPath+"/subscriptions",se=null,Se=!1,ue=je.internalActions,fe=ue.updateSubscriptionOptions,be=ue.unsubscribeQueryResult;return function(Qe,Ge){var Ee,wt;if(se||(se=JSON.parse(JSON.stringify($e.currentSubscriptions))),je.util.resetApiState.match(Qe))return se=$e.currentSubscriptions={},[!0,!1];if(je.internalActions.internal_probeSubscription.match(Qe)){var Dt=Qe.payload;return[!1,!!((Ee=$e.currentSubscriptions[Dt.queryCacheKey])!=null&&Ee[Dt.requestId])]}var Lt=function(Rn,_n){var Ui,$,G,X,de,_t,nn,bn,Ct;if(fe.match(_n)){var fn=_n.payload,ui=fn.queryCacheKey,jn=fn.requestId;return(Ui=Rn==null?void 0:Rn[ui])!=null&&Ui[jn]&&(Rn[ui][jn]=fn.options),!0}if(be.match(_n)){var yl=_n.payload;return jn=yl.requestId,Rn[ui=yl.queryCacheKey]&&delete Rn[ui][jn],!0}if(je.internalActions.removeQueryResult.match(_n))return delete Rn[_n.payload.queryCacheKey],!0;if(st.pending.match(_n)){var td=_n.meta;if(jn=td.requestId,(rd=td.arg).subscribe)return(vl=(G=Rn[$=rd.queryCacheKey])!=null?G:Rn[$]={})[jn]=(de=(X=rd.subscriptionOptions)!=null?X:vl[jn])!=null?de:{},!0}if(st.rejected.match(_n)){var vl,nd=_n.meta,rd=nd.arg;if(jn=nd.requestId,nd.condition&&rd.subscribe)return(vl=(nn=Rn[_t=rd.queryCacheKey])!=null?nn:Rn[_t]={})[jn]=(Ct=(bn=rd.subscriptionOptions)!=null?bn:vl[jn])!=null?Ct:{},!0}return!1}($e.currentSubscriptions,Qe);if(Lt){Se||(zs(function(){var Rn=JSON.parse(JSON.stringify($e.currentSubscriptions)),_n=(0,hs.produceWithPatches)(se,function(){return Rn});Ge.next(je.internalActions.subscriptionsUpdated(_n[1])),se=Rn,Se=!1}),Se=!0);var Qn=!!((wt=Qe.type)!=null&&wt.startsWith(_e)),sr=st.rejected.match(Qe)&&Qe.meta.condition&&!!Qe.meta.arg.subscribe;return[!Qn&&!sr,!1]}return[!0,!1]}}(on),Le=function(Ce){var je=Ce.reducerPath,st=Ce.context,$e=Ce.refetchQuery,_e=Ce.internalState,se=Ce.api.internalActions.removeQueryResult;function Se(ue,fe){var be=ue.getState()[je],Qe=be.queries,Ge=_e.currentSubscriptions;st.batch(function(){for(var Ee=0,wt=Object.keys(Ge);Ee<wt.length;Ee++){var Dt=wt[Ee],Lt=Qe[Dt],Qn=Ge[Dt];Qn&&Lt&&(Object.values(Qn).some(function(sr){return sr[fe]===!0})||Object.values(Qn).every(function(sr){return sr[fe]===void 0})&&be.config[fe])&&(Object.keys(Qn).length===0?ue.dispatch(se({queryCacheKey:Dt})):Lt.status!==t.uninitialized&&ue.dispatch($e(Lt,Dt)))}})}return function(ue,fe){I.match(ue)&&Se(fe,"refetchOnFocus"),U.match(ue)&&Se(fe,"refetchOnReconnect")}}(on);return function(Ce){return function(je){Kt||(Kt=!0,dn.dispatch(Xn.internalActions.middlewareRegistered(li)));var st,$e=_(b({},dn),{next:Ce}),_e=dn.getState(),se=Xe(je,$e,_e),Se=se[1];if(st=se[0]?Ce(je):Se,dn.getState()[tn]&&(Le(je,$e,_e),function(be){return!!be&&typeof be.type=="string"&&be.type.startsWith(tn+"/")}(je)||hr.hasRehydrationInfo(je)))for(var ue=0,fe=ve;ue<fe.length;ue++)(0,fe[ue])(je,$e,_e);return st}}},actions:cn};function Ft(dn,Kt,on){return on===void 0&&(on={}),Wt(b({type:"query",endpointName:dn.endpointName,originalArgs:dn.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:Kt},on))}}({reducerPath:re,context:te,queryThunk:ye,mutationThunk:We,api:W,assertTagType:Ae}),_o=Ci.middleware;si(W.util,Ci.actions),si(W,{reducer:Jt,middleware:_o});var Ei=function(Je){var tn=Je.serializeQueryArgs,Wt=Je.reducerPath,Xn=function(kt){return kn},hr=function(kt){return un};return{buildQuerySelector:function(kt,Ft){return function(dn){var Kt=tn({queryArgs:dn,endpointDefinition:Ft,endpointName:kt});return(0,K.createSelector)(dn===or?Xn:function(on){var ve,Xe,Le;return(Le=(Xe=(ve=cn(on))==null?void 0:ve.queries)==null?void 0:Xe[Kt])!=null?Le:kn},li)}},buildMutationSelector:function(){return function(kt){var Ft,dn;return dn=typeof kt=="object"?(Ft=br(kt))!=null?Ft:or:kt,(0,K.createSelector)(dn===or?hr:function(Kt){var on,ve,Xe;return(Xe=(ve=(on=cn(Kt))==null?void 0:on.mutations)==null?void 0:ve[dn])!=null?Xe:un},li)}},selectInvalidatedBy:function(kt,Ft){for(var dn,Kt=kt[Wt],on=new Set,ve=0,Xe=Ft.map(ge);ve<Xe.length;ve++){var Le=Xe[ve],Ce=Kt.provided[Le.type];if(Ce)for(var je=0,st=(dn=Le.id!==void 0?Ce[Le.id]:w(Object.values(Ce)))!=null?dn:[];je<st.length;je++)on.add(st[je])}return w(Array.from(on.values()).map(function($e){var _e=Kt.queries[$e];return _e?[{queryCacheKey:$e,endpointName:_e.endpointName,originalArgs:_e.originalArgs}]:[]}))}};function li(kt){return b(b({},kt),{status:Ft=kt.status,isUninitialized:Ft===t.uninitialized,isLoading:Ft===t.pending,isSuccess:Ft===t.fulfilled,isError:Ft===t.rejected});var Ft}function cn(kt){return kt[Wt]}}({serializeQueryArgs:De,reducerPath:re}),fr=Ei.buildQuerySelector,ai=Ei.buildMutationSelector;si(W.util,{selectInvalidatedBy:Ei.selectInvalidatedBy});var Un=function(Je){var tn=Je.serializeQueryArgs,Wt=Je.queryThunk,Xn=Je.mutationThunk,hr=Je.api,li=Je.context,cn=new Map,kt=new Map,Ft=hr.internalActions,dn=Ft.unsubscribeQueryResult,Kt=Ft.removeMutationResult,on=Ft.updateSubscriptionOptions;return{buildInitiateQuery:function(ve,Xe){var Le=function(Ce,je){var st=je===void 0?{}:je,$e=st.subscribe,_e=$e===void 0||$e,se=st.forceRefetch,Se=st.subscriptionOptions,ue=st[et];return function(fe,be){var Qe,Ge,Ee=tn({queryArgs:Ce,endpointDefinition:Xe,endpointName:ve}),wt=Wt(((Qe={type:"query",subscribe:_e,forceRefetch:se,subscriptionOptions:Se,endpointName:ve,originalArgs:Ce,queryCacheKey:Ee})[et]=ue,Qe)),Dt=hr.endpoints[ve].select(Ce),Lt=fe(wt),Qn=Dt(be()),sr=Lt.requestId,Rn=Lt.abort,_n=Qn.requestId!==sr,Ui=(Ge=cn.get(fe))==null?void 0:Ge[Ee],$=function(){return Dt(be())},G=Object.assign(ue?Lt.then($):_n&&!Ui?Promise.resolve(Qn):Promise.all([Ui,Lt]).then($),{arg:Ce,requestId:sr,subscriptionOptions:Se,queryCacheKey:Ee,abort:Rn,unwrap:function(){return S(this,null,function(){var de;return r(this,function(_t){switch(_t.label){case 0:return[4,G];case 1:if((de=_t.sent()).isError)throw de.error;return[2,de.data]}})})},refetch:function(){return fe(Le(Ce,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){_e&&fe(dn({queryCacheKey:Ee,requestId:sr}))},updateSubscriptionOptions:function(de){G.subscriptionOptions=de,fe(on({endpointName:ve,requestId:sr,queryCacheKey:Ee,options:de}))}});if(!Ui&&!_n&&!ue){var X=cn.get(fe)||{};X[Ee]=G,cn.set(fe,X),G.then(function(){delete X[Ee],Object.keys(X).length||cn.delete(fe)})}return G}};return Le},buildInitiateMutation:function(ve){return function(Xe,Le){var Ce=Le===void 0?{}:Le,je=Ce.track,st=je===void 0||je,$e=Ce.fixedCacheKey;return function(_e,se){var Se=Xn({type:"mutation",endpointName:ve,originalArgs:Xe,track:st,fixedCacheKey:$e}),ue=_e(Se),fe=ue.requestId,be=ue.abort,Qe=ue.unwrap,Ge=ue.unwrap().then(function(Lt){return{data:Lt}}).catch(function(Lt){return{error:Lt}}),Ee=function(){_e(Kt({requestId:fe,fixedCacheKey:$e}))},wt=Object.assign(Ge,{arg:ue.arg,requestId:fe,abort:be,unwrap:Qe,unsubscribe:Ee,reset:Ee}),Dt=kt.get(_e)||{};return kt.set(_e,Dt),Dt[fe]=wt,wt.then(function(){delete Dt[fe],Object.keys(Dt).length||kt.delete(_e)}),$e&&(Dt[$e]=wt,wt.then(function(){Dt[$e]===wt&&(delete Dt[$e],Object.keys(Dt).length||kt.delete(_e))})),wt}}},getRunningQueryThunk:function(ve,Xe){return function(Le){var Ce,je=tn({queryArgs:Xe,endpointDefinition:li.endpointDefinitions[ve],endpointName:ve});return(Ce=cn.get(Le))==null?void 0:Ce[je]}},getRunningMutationThunk:function(ve,Xe){return function(Le){var Ce;return(Ce=kt.get(Le))==null?void 0:Ce[Xe]}},getRunningQueriesThunk:function(){return function(ve){return Object.values(cn.get(ve)||{}).filter(dt)}},getRunningMutationsThunk:function(){return function(ve){return Object.values(kt.get(ve)||{}).filter(dt)}},getRunningOperationPromises:function(){var ve=function(Xe){return Array.from(Xe.values()).flatMap(function(Le){return Le?Object.values(Le):[]})};return i(i([],ve(cn)),ve(kt)).filter(dt)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
+       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
+       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:ye,mutationThunk:We,api:W,serializeQueryArgs:De,context:te}),ro=Un.buildInitiateQuery,ps=Un.buildInitiateMutation;return si(W.util,{getRunningOperationPromises:Un.getRunningOperationPromises,getRunningOperationPromise:Un.removalWarning,getRunningMutationThunk:Un.getRunningMutationThunk,getRunningMutationsThunk:Un.getRunningMutationsThunk,getRunningQueryThunk:Un.getRunningQueryThunk,getRunningQueriesThunk:Un.getRunningQueriesThunk}),{name:Fo,injectEndpoint:function(Je,tn){var Wt,Xn=W;(Wt=Xn.endpoints)[Je]!=null||(Wt[Je]={}),ee(tn)?si(Xn.endpoints[Je],{name:Je,select:fr(Je,tn),initiate:ro(Je,tn)},vt(ye,Je)):tn.type===Q.mutation&&si(Xn.endpoints[Je],{name:Je,select:ai(),initiate:ps(Je)},vt(We,Je))}}}}},Ta=to(Hr())})(pD);hD.exports=pD;var Vne=hD.exports;const Kr=["general"],Ul=["control","mask","user","other"],Gne=100,xy=20,gD=z.enum(["boolean","BooleanCollection","BooleanPolymorphic","ClipField","Collection","CollectionItem","ColorCollection","ColorField","ColorPolymorphic","ConditioningCollection","ConditioningField","ConditioningPolymorphic","ControlCollection","ControlField","ControlNetModelField","ControlPolymorphic","DenoiseMaskField","enum","float","FloatCollection","FloatPolymorphic","ImageCollection","ImageField","ImagePolymorphic","integer","IntegerCollection","IntegerPolymorphic","LatentsCollection","LatentsField","LatentsPolymorphic","LoRAModelField","MainModelField","ONNXModelField","Scheduler","SDXLMainModelField","SDXLRefinerModelField","string","StringCollection","StringPolymorphic","UNetField","VaeField","VaeModelField"]),Hne=z.enum(["WorkflowField","IsIntermediate","MetadataField"]),qk=e=>gD.safeParse(e).success||Hne.safeParse(e).success;z.enum(["connection","direct","any"]);const mD=z.object({id:z.string().trim().min(1),name:z.string().trim().min(1),type:gD}),qne=mD.extend({fieldKind:z.literal("output")}),yt=mD.extend({fieldKind:z.literal("input"),label:z.string()}),wm=z.object({model_name:z.string().trim().min(1),base_model:eh}),yg=z.object({image_name:z.string().trim().min(1)}),Uv=z.object({latents_name:z.string().trim().min(1),seed:z.number().int().optional()}),jv=z.object({conditioning_name:z.string().trim().min(1)}),Wne=z.object({mask_name:z.string().trim().min(1),masked_latents_name:z.string().trim().min(1).optional()}),Kne=yt.extend({type:z.literal("integer"),value:z.number().int().optional()}),Xne=yt.extend({type:z.literal("IntegerCollection"),value:z.array(z.number().int()).optional()}),Qne=yt.extend({type:z.literal("IntegerPolymorphic"),value:z.union([z.number().int(),z.array(z.number().int())]).optional()}),Yne=yt.extend({type:z.literal("float"),value:z.number().optional()}),Zne=yt.extend({type:z.literal("FloatCollection"),value:z.array(z.number()).optional()}),Jne=yt.extend({type:z.literal("FloatPolymorphic"),value:z.union([z.number(),z.array(z.number())]).optional()}),ere=yt.extend({type:z.literal("string"),value:z.string().optional()}),tre=yt.extend({type:z.literal("StringCollection"),value:z.array(z.string()).optional()}),nre=yt.extend({type:z.literal("StringPolymorphic"),value:z.union([z.string(),z.array(z.string())]).optional()}),rre=yt.extend({type:z.literal("boolean"),value:z.boolean().optional()}),ire=yt.extend({type:z.literal("BooleanCollection"),value:z.array(z.boolean()).optional()}),ore=yt.extend({type:z.literal("BooleanPolymorphic"),value:z.union([z.boolean(),z.array(z.boolean())]).optional()}),sre=yt.extend({type:z.literal("enum"),value:z.union([z.string(),z.number()]).optional()}),are=yt.extend({type:z.literal("LatentsField"),value:Uv.optional()}),lre=yt.extend({type:z.literal("LatentsCollection"),value:z.array(Uv).optional()}),ure=yt.extend({type:z.literal("LatentsPolymorphic"),value:z.union([Uv,z.array(Uv)]).optional()}),cre=yt.extend({type:z.literal("DenoiseMaskField"),value:Wne.optional()}),dre=yt.extend({type:z.literal("ConditioningField"),value:jv.optional()}),fre=yt.extend({type:z.literal("ConditioningCollection"),value:z.array(jv).optional()}),hre=yt.extend({type:z.literal("ConditioningPolymorphic"),value:z.union([jv,z.array(jv)]).optional()}),pre=wm,vg=z.object({image:yg,control_model:pre,control_weight:z.union([z.number(),z.array(z.number())]).optional(),begin_step_percent:z.number().optional(),end_step_percent:z.number().optional(),control_mode:z.enum(["balanced","more_prompt","more_control","unbalanced"]).optional(),resize_mode:z.enum(["just_resize","crop_resize","fill_resize","just_resize_simple"]).optional()}),gre=yt.extend({type:z.literal("ControlField"),value:vg.optional()}),mre=yt.extend({type:z.literal("ControlPolymorphic"),value:z.union([vg,z.array(vg)]).optional()}),yre=yt.extend({type:z.literal("ControlCollection"),value:z.array(vg).optional()}),vre=z.enum(["onnx","main","vae","lora","controlnet","embedding"]),_re=z.enum(["unet","text_encoder","text_encoder_2","tokenizer","tokenizer_2","vae","vae_decoder","vae_encoder","scheduler","safety_checker"]),If=wm.extend({model_type:vre,submodel:_re.optional()}),yD=If.extend({weight:z.number().optional()}),bre=z.object({unet:If,scheduler:If,loras:z.array(yD)}),Sre=yt.extend({type:z.literal("UNetField"),value:bre.optional()}),wre=z.object({tokenizer:If,text_encoder:If,skipped_layers:z.number(),loras:z.array(yD)}),xre=yt.extend({type:z.literal("ClipField"),value:wre.optional()}),Cre=z.object({vae:If}),Ere=yt.extend({type:z.literal("VaeField"),value:Cre.optional()}),Tre=yt.extend({type:z.literal("ImageField"),value:yg.optional()}),Are=yt.extend({type:z.literal("ImagePolymorphic"),value:z.union([yg,z.array(yg)]).optional()}),kre=yt.extend({type:z.literal("ImageCollection"),value:z.array(yg).optional()}),Pre=yt.extend({type:z.literal("MainModelField"),value:Sm.optional()}),Rre=yt.extend({type:z.literal("SDXLMainModelField"),value:Sm.optional()}),Ore=yt.extend({type:z.literal("SDXLRefinerModelField"),value:Sm.optional()}),vD=wm,Ire=yt.extend({type:z.literal("VaeModelField"),value:vD.optional()}),_D=wm,Mre=yt.extend({type:z.literal("LoRAModelField"),value:_D.optional()}),Nre=wm,Dre=yt.extend({type:z.literal("ControlNetModelField"),value:Nre.optional()}),Lre=yt.extend({type:z.literal("Collection"),value:z.array(z.any()).optional()}),$re=yt.extend({type:z.literal("CollectionItem"),value:z.any().optional()}),Vv=z.object({r:z.number().int().min(0).max(255),g:z.number().int().min(0).max(255),b:z.number().int().min(0).max(255),a:z.number().int().min(0).max(255)}),Fre=yt.extend({type:z.literal("ColorField"),value:Vv.optional()}),Bre=yt.extend({type:z.literal("ColorCollection"),value:z.array(Vv).optional()}),zre=yt.extend({type:z.literal("ColorPolymorphic"),value:z.union([Vv,z.array(Vv)]).optional()}),Ure=yt.extend({type:z.literal("Scheduler"),value:rD.optional()}),jre=z.discriminatedUnion("type",[ire,rre,ore,xre,Lre,$re,Fre,Bre,zre,dre,fre,hre,gre,Dre,yre,mre,cre,sre,Zne,Yne,Jne,kre,Are,Tre,Xne,Qne,Kne,are,lre,ure,Mre,Pre,Ure,Rre,Ore,tre,nre,ere,Sre,Ere,Ire]),pRe=e=>!!(e&&e.fieldKind==="input"),gRe=e=>!!(e&&e.fieldKind==="input"),Vre=e=>!!(e&&!("$ref"in e)),Wk=e=>!!(e&&!("$ref"in e)&&e.type==="array"),Cy=e=>!!(e&&!("$ref"in e)&&e.type!=="array"),Ph=e=>!!(e&&"$ref"in e),Gre=e=>"class"in e&&e.class==="invocation",Hre=e=>"class"in e&&e.class==="output",Kk=e=>!("$ref"in e),bD=z.object({app_version:z.string().nullish(),generation_mode:z.string().nullish(),created_by:z.string().nullish(),positive_prompt:z.string().nullish(),negative_prompt:z.string().nullish(),width:z.number().int().nullish(),height:z.number().int().nullish(),seed:z.number().int().nullish(),rand_device:z.string().nullish(),cfg_scale:z.number().nullish(),steps:z.number().int().nullish(),scheduler:z.string().nullish(),clip_skip:z.number().int().nullish(),model:z.union([R_.deepPartial(),iD.deepPartial()]).nullish(),controlnets:z.array(vg.deepPartial()).nullish(),loras:z.array(z.object({lora:_D.deepPartial(),weight:z.number()})).nullish(),vae:vD.nullish(),strength:z.number().nullish(),init_image:z.string().nullish(),positive_style_prompt:z.string().nullish(),negative_style_prompt:z.string().nullish(),refiner_model:gE.deepPartial().nullish(),refiner_cfg_scale:z.number().nullish(),refiner_steps:z.number().int().nullish(),refiner_scheduler:z.string().nullish(),refiner_positive_aesthetic_score:z.number().nullish(),refiner_negative_aesthetic_score:z.number().nullish(),refiner_start:z.number().nullish()}).passthrough(),vE=z.string().refine(e=>{const[t,n,r]=e.split(".");return t!==void 0&&Number.isInteger(Number(t))&&n!==void 0&&Number.isInteger(Number(n))&&r!==void 0&&Number.isInteger(Number(r))});vE.transform(e=>{const[t,n,r]=e.split(".");return{major:Number(t),minor:Number(n),patch:Number(r)}});const qre=z.object({id:z.string().trim().min(1),type:z.string().trim().min(1),inputs:z.record(jre),outputs:z.record(qne),label:z.string(),isOpen:z.boolean(),notes:z.string(),embedWorkflow:z.boolean(),isIntermediate:z.boolean(),version:vE.optional()}),Wre=z.object({id:z.string().trim().min(1),type:z.literal("notes"),label:z.string(),isOpen:z.boolean(),notes:z.string()}),SD=z.object({x:z.number(),y:z.number()}).default({x:0,y:0}),Gv=z.number().gt(0).nullish(),wD=z.object({id:z.string().trim().min(1),type:z.literal("invocation"),data:qre,width:Gv,height:Gv,position:SD}),fC=e=>wD.safeParse(e).success,Kre=z.object({id:z.string().trim().min(1),type:z.literal("notes"),data:Wre,width:Gv,height:Gv,position:SD}),xD=z.discriminatedUnion("type",[wD,Kre]),Xre=z.object({source:z.string().trim().min(1),sourceHandle:z.string().trim().min(1),target:z.string().trim().min(1),targetHandle:z.string().trim().min(1),id:z.string().trim().min(1),type:z.literal("default")}),Qre=z.object({source:z.string().trim().min(1),target:z.string().trim().min(1),id:z.string().trim().min(1),type:z.literal("collapsed")}),CD=z.union([Xre,Qre]),Yre=z.object({nodeId:z.string().trim().min(1),fieldName:z.string().trim().min(1)}),ED=z.object({name:z.string().default(""),author:z.string().default(""),description:z.string().default(""),version:z.string().default(""),contact:z.string().default(""),tags:z.string().default(""),notes:z.string().default(""),nodes:z.array(xD).default([]),edges:z.array(CD).default([]),exposedFields:z.array(Yre).default([]),meta:z.object({version:vE}).default({version:"1.0.0"})});ED.transform(e=>{const{nodes:t,edges:n}=e,r=[],i=t.filter(fC),o=pE(i,"id");return n.forEach((s,a)=>{const l=o[s.source],u=o[s.target],c=[];if(l?s.type==="default"&&!(s.sourceHandle in l.data.outputs)&&c.push(`Output field "${s.source}.${s.sourceHandle}" does not exist`):c.push(`Output node ${s.source} does not exist`),u?s.type==="default"&&!(s.targetHandle in u.data.inputs)&&c.push(`Input field "${s.target}.${s.targetHandle}" does not exist`):c.push(`Input node ${s.target} does not exist`),c.length){delete n[a];const d=s.type==="default"?s.sourceHandle:s.source,f=s.type==="default"?s.targetHandle:s.target;r.push({message:`Edge "${d} -> ${f}" skipped`,issues:c,data:s})}}),{workflow:e,warnings:r}});const qr=e=>!!(e&&e.type==="invocation"),mRe=e=>!!(e&&!["notes","current_image"].includes(e.type)),Xk=e=>!!(e&&e.type==="notes");var La=(e=>(e[e.PENDING=0]="PENDING",e[e.IN_PROGRESS=1]="IN_PROGRESS",e[e.COMPLETED=2]="COMPLETED",e[e.FAILED=3]="FAILED",e))(La||{});/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const Zre=4,Qk=0,Yk=1,Jre=2;function rh(e){let t=e.length;for(;--t>=0;)e[t]=0}const eie=0,TD=1,tie=2,nie=3,rie=258,_E=29,xm=256,_g=xm+1+_E,sf=30,bE=19,AD=2*_g+1,nc=15,I2=16,iie=7,SE=256,kD=16,PD=17,RD=18,hC=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),P0=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),oie=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),OD=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),sie=512,Ba=new Array((_g+2)*2);rh(Ba);const vp=new Array(sf*2);rh(vp);const bg=new Array(sie);rh(bg);const Sg=new Array(rie-nie+1);rh(Sg);const wE=new Array(_E);rh(wE);const Hv=new Array(sf);rh(Hv);function M2(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let ID,MD,ND;function N2(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}const 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u,c,d,f,h,p,m=0;for(f=0;f<=nc;f++)e.bl_count[f]=0;for(n[e.heap[e.heap_max]*2+1]=0,u=e.heap_max+1;u<AD;u++)c=e.heap[u],f=n[n[c*2+1]*2+1]+1,f>l&&(f=l,m++),n[c*2+1]=f,!(c>r)&&(e.bl_count[f]++,h=0,c>=a&&(h=s[c-a]),p=n[c*2],e.opt_len+=p*(f+h),o&&(e.static_len+=p*(i[c*2+1]+h)));if(m!==0){do{for(f=l-1;e.bl_count[f]===0;)f--;e.bl_count[f]--,e.bl_count[f+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(f=l;f!==0;f--)for(c=e.bl_count[f];c!==0;)d=e.heap[--u],!(d>r)&&(n[d*2+1]!==f&&(e.opt_len+=(f-n[d*2+1])*n[d*2],n[d*2+1]=f),c--)}},$D=(e,t,n)=>{const r=new Array(nc+1);let i=0,o,s;for(o=1;o<=nc;o++)i=i+n[o-1]<<1,r[o]=i;for(s=0;s<=t;s++){let a=e[s*2+1];a!==0&&(e[s*2]=LD(r[a]++,a))}},uie=()=>{let e,t,n,r,i;const o=new Array(nc+1);for(n=0,r=0;r<_E-1;r++)for(wE[r]=n,e=0;e<1<<hC[r];e++)Sg[n++]=r;for(Sg[n-1]=r,i=0,r=0;r<16;r++)for(Hv[r]=i,e=0;e<1<<P0[r];e++)bg[i++]=r;for(i>>=7;r<sf;r++)for(Hv[r]=i<<7,e=0;e<1<<P0[r]-7;e++)bg[256+i++]=r;for(t=0;t<=nc;t++)o[t]=0;for(e=0;e<=143;)Ba[e*2+1]=8,e++,o[8]++;for(;e<=255;)Ba[e*2+1]=9,e++,o[9]++;for(;e<=279;)Ba[e*2+1]=7,e++,o[7]++;for(;e<=287;)Ba[e*2+1]=8,e++,o[8]++;for($D(Ba,_g+1,o),e=0;e<sf;e++)vp[e*2+1]=5,vp[e*2]=LD(e,5);ID=new M2(Ba,hC,xm+1,_g,nc),MD=new M2(vp,P0,0,sf,nc),ND=new M2(new Array(0),oie,0,bE,iie)},FD=e=>{let t;for(t=0;t<_g;t++)e.dyn_ltree[t*2]=0;for(t=0;t<sf;t++)e.dyn_dtree[t*2]=0;for(t=0;t<bE;t++)e.bl_tree[t*2]=0;e.dyn_ltree[SE*2]=1,e.opt_len=e.static_len=0,e.sym_next=e.matches=0},BD=e=>{e.bi_valid>8?wg(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},Zk=(e,t,n,r)=>{const i=t*2,o=n*2;return e[i]<e[o]||e[i]===e[o]&&r[t]<=r[n]},D2=(e,t,n)=>{const r=e.heap[n];let 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t=e.length;for(;--t>=0;)e[t]=0},Qie=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let Yie=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask,tu=Yie;const So=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},Ao=(e,t)=>{kie(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,So(e.strm)},Xt=(e,t)=>{e.pending_buf[e.pending++]=t},Rh=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},SC=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=xg(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Qr(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},UD=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-ua?e.strstart-(e.w_size-ua):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+jl;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&r<f);if(o=jl-(f-r),r=f-jl,o>s){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},Df=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-ua)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),Qie(e),r+=t),e.strm.avail_in===0)break;if(n=SC(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=Mt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=tu(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=tu(e,e.ins_h,e.window[i+Mt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<Mt)););}while(e.lookahead<ua&&e.strm.avail_in!==0)},jD=(e,t)=>{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_out<o||(o=e.strm.avail_out-o,i=e.strstart-e.block_start,r>i+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r<n&&(r===0&&t!==Xo||t===eu||r!==i+e.strm.avail_in)))break;s=t===Xo&&r===i+e.strm.avail_in?1:0,gC(e,0,0,s),e.pending_buf[e.pending-4]=r,e.pending_buf[e.pending-3]=r>>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,So(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(SC(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),s?oh:t!==eu&&t!==Xo&&e.strm.avail_in===0&&e.strstart===e.block_start?ih:(o=e.window_size-e.strstart,e.strm.avail_in>o&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(SC(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water<e.strstart&&(e.high_water=e.strstart),o=e.bi_valid+42>>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Xo)&&t!==eu&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Xo&&e.strm.avail_in===0&&r===i?1:0,gC(e,e.block_start,r,s),e.block_start+=r,So(e.strm)),s?Tc:Hi)},$2=(e,t)=>{let n,r;for(;;){if(e.lookahead<ua){if(Df(e),e.lookahead<ua&&t===eu)return Hi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Mt&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-ua&&(e.match_length=UD(e,n)),e.match_length>=Mt)if(r=Jl(e,e.strstart-e.match_start,e.match_length-Mt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=Mt){e.match_length--;do e.strstart++,e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=tu(e,e.ins_h,e.window[e.strstart+1]);else r=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=e.strstart<Mt-1?e.strstart:Mt-1,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:oh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:ih},sd=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<ua){if(Df(e),e.lookahead<ua&&t===eu)return Hi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Mt&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=Mt-1,n!==0&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-ua&&(e.match_length=UD(e,n),e.match_length<=5&&(e.strategy===Nie||e.match_length===Mt&&e.strstart-e.match_start>4096)&&(e.match_length=Mt-1)),e.prev_length>=Mt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-Mt,r=Jl(e,e.strstart-1-e.prev_match,e.prev_length-Mt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=Mt-1,e.strstart++,r&&(Ao(e,!1),e.strm.avail_out===0))return Hi}else if(e.match_available){if(r=Jl(e,0,e.window[e.strstart-1]),r&&Ao(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return Hi}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=Jl(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<Mt-1?e.strstart:Mt-1,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:oh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:ih},Zie=(e,t)=>{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=jl){if(Df(e),e.lookahead<=jl&&t===eu)return Hi;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=Mt&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+jl;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&i<o);e.match_length=jl-(o-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=Mt?(n=Jl(e,1,e.match_length-Mt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=0,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:oh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:ih},Jie=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(Df(e),e.lookahead===0)){if(t===eu)return Hi;break}if(e.match_length=0,n=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=0,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:oh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:ih};function js(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const Jh=[new js(0,0,0,0,jD),new js(4,4,8,4,$2),new js(4,5,16,8,$2),new js(4,6,32,32,$2),new js(4,4,16,16,sd),new js(8,16,32,32,sd),new js(8,16,128,128,sd),new js(8,32,128,256,sd),new js(32,128,258,1024,sd),new js(32,258,258,4096,sd)],eoe=e=>{e.window_size=2*e.w_size,Dl(e.head),e.max_lazy_match=Jh[e.level].max_lazy,e.good_match=Jh[e.level].good_length,e.nice_match=Jh[e.level].nice_length,e.max_chain_length=Jh[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=Mt-1,e.match_available=0,e.ins_h=0};function toe(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=M_,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(qie*2),this.dyn_dtree=new Uint16Array((2*Gie+1)*2),this.bl_tree=new Uint16Array((2*Hie+1)*2),Dl(this.dyn_ltree),Dl(this.dyn_dtree),Dl(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(Wie+1),this.heap=new Uint16Array(2*mC+1),Dl(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*mC+1),Dl(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const Em=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==Nf&&t.status!==xE&&t.status!==yC&&t.status!==vC&&t.status!==_C&&t.status!==bC&&t.status!==rc&&t.status!==Zh?1:0},VD=e=>{if(Em(e))return ic(e,la);e.total_in=e.total_out=0,e.data_type=Fie;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?xE:t.wrap?Nf:rc,e.adler=t.wrap===2?0:1,t.last_flush=-2,Aie(t),gi},GD=e=>{const t=VD(e);return t===gi&&eoe(e.state),t},noe=(e,t)=>Em(e)||e.state.wrap!==2?la:(e.state.gzhead=t,gi),HD=(e,t,n,r,i,o)=>{if(!e)return la;let s=1;if(t===Mie&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>Bie||n!==M_||r<8||r>15||t<0||t>9||o<0||o>Lie||r===8&&s!==1)return ic(e,la);r===8&&(r=9);const a=new toe;return e.state=a,a.strm=e,a.status=Nf,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<<a.w_bits,a.w_mask=a.w_size-1,a.hash_bits=i+7,a.hash_size=1<<a.hash_bits,a.hash_mask=a.hash_size-1,a.hash_shift=~~((a.hash_bits+Mt-1)/Mt),a.window=new Uint8Array(a.w_size*2),a.head=new Uint16Array(a.hash_size),a.prev=new Uint16Array(a.w_size),a.lit_bufsize=1<<i+6,a.pending_buf_size=a.lit_bufsize*4,a.pending_buf=new Uint8Array(a.pending_buf_size),a.sym_buf=a.lit_bufsize,a.sym_end=(a.lit_bufsize-1)*3,a.level=t,a.strategy=o,a.method=n,GD(e)},roe=(e,t)=>HD(e,t,M_,zie,Uie,$ie),ioe=(e,t)=>{if(Em(e)||t>r6||t<0)return e?ic(e,la):la;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===Zh&&t!==Xo)return ic(e,e.avail_out===0?L2:la);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(So(e),e.avail_out===0)return n.last_flush=-1,gi}else if(e.avail_in===0&&o6(t)<=o6(r)&&t!==Xo)return ic(e,L2);if(n.status===Zh&&e.avail_in!==0)return ic(e,L2);if(n.status===Nf&&n.wrap===0&&(n.status=rc),n.status===Nf){let i=M_+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=Ey||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=Kie),i+=31-i%31,Rh(n,i),n.strstart!==0&&(Rh(n,e.adler>>>16),Rh(n,e.adler&65535)),e.adler=1,n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(n.status===xE){if(e.adler=0,Xt(n,31),Xt(n,139),Xt(n,8),n.gzhead)Xt(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),Xt(n,n.gzhead.time&255),Xt(n,n.gzhead.time>>8&255),Xt(n,n.gzhead.time>>16&255),Xt(n,n.gzhead.time>>24&255),Xt(n,n.level===9?2:n.strategy>=Ey||n.level<2?4:0),Xt(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(Xt(n,n.gzhead.extra.length&255),Xt(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Qr(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=yC;else if(Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,n.level===9?2:n.strategy>=Ey||n.level<2?4:0),Xt(n,Xie),n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(n.status===yC){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let a=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+a),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=a,So(e),n.pending!==0)return n.last_flush=-1,gi;i=0,o-=a}let s=new Uint8Array(n.gzhead.extra);n.pending_buf.set(s.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=vC}if(n.status===vC){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),So(e),n.pending!==0)return n.last_flush=-1,gi;i=0}n.gzindex<n.gzhead.name.length?o=n.gzhead.name.charCodeAt(n.gzindex++)&255:o=0,Xt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=_C}if(n.status===_C){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),So(e),n.pending!==0)return n.last_flush=-1,gi;i=0}n.gzindex<n.gzhead.comment.length?o=n.gzhead.comment.charCodeAt(n.gzindex++)&255:o=0,Xt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i))}n.status=bC}if(n.status===bC){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(So(e),n.pending!==0))return n.last_flush=-1,gi;Xt(n,e.adler&255),Xt(n,e.adler>>8&255),e.adler=0}if(n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(e.avail_in!==0||n.lookahead!==0||t!==eu&&n.status!==Zh){let 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la;if(i===1&&(e.adler=xg(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(Dl(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,s=e.next_in,a=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,Df(r);r.lookahead>=Mt;){let l=r.strstart,u=r.lookahead-(Mt-1);do r.ins_h=tu(r,r.ins_h,r.window[l+Mt-1]),r.prev[l&r.w_mask]=r.head[r.ins_h],r.head[r.ins_h]=l,l++;while(--u);r.strstart=l,r.lookahead=Mt-1,Df(r)}return r.strstart+=r.lookahead,r.block_start=r.strstart,r.insert=r.lookahead,r.lookahead=0,r.match_length=r.prev_length=Mt-1,r.match_available=0,e.next_in=s,e.input=a,e.avail_in=o,r.wrap=i,gi};var aoe=roe,loe=HD,uoe=GD,coe=VD,doe=noe,foe=ioe,hoe=ooe,poe=soe,goe="pako deflate (from Nodeca project)",_p={deflateInit:aoe,deflateInit2:loe,deflateReset:uoe,deflateResetKeep:coe,deflateSetHeader:doe,deflate:foe,deflateEnd:hoe,deflateSetDictionary:poe,deflateInfo:goe};const moe=(e,t)=>Object.prototype.hasOwnProperty.call(e,t);var yoe=function(e){const t=Array.prototype.slice.call(arguments,1);for(;t.length;){const n=t.shift();if(n){if(typeof n!="object")throw new TypeError(n+"must be non-object");for(const r in n)moe(n,r)&&(e[r]=n[r])}}return e},voe=e=>{let t=0;for(let r=0,i=e.length;r<i;r++)t+=e[r].length;const n=new Uint8Array(t);for(let r=0,i=0,o=e.length;r<o;r++){let s=e[r];n.set(s,i),i+=s.length}return n},N_={assign:yoe,flattenChunks:voe};let qD=!0;try{String.fromCharCode.apply(null,new Uint8Array(1))}catch{qD=!1}const Cg=new Uint8Array(256);for(let e=0;e<256;e++)Cg[e]=e>=252?6:e>=248?5:e>=240?4:e>=224?3:e>=192?2:1;Cg[254]=Cg[254]=1;var _oe=e=>{if(typeof TextEncoder=="function"&&TextEncoder.prototype.encode)return new TextEncoder().encode(e);let t,n,r,i,o,s=e.length,a=0;for(i=0;i<s;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<s&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),a+=n<128?1:n<2048?2:n<65536?3:4;for(t=new 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boe(o,i)},woe=(e,t)=>{t=t||e.length,t>e.length&&(t=e.length);let n=t-1;for(;n>=0&&(e[n]&192)===128;)n--;return n<0||n===0?t:n+Cg[e[n]]>t?n:t},Eg={string2buf:_oe,buf2string:Soe,utf8border:woe};function xoe(){this.input=null,this.next_in=0,this.avail_in=0,this.total_in=0,this.output=null,this.next_out=0,this.avail_out=0,this.total_out=0,this.msg="",this.state=null,this.data_type=2,this.adler=0}var WD=xoe;const KD=Object.prototype.toString,{Z_NO_FLUSH:Coe,Z_SYNC_FLUSH:Eoe,Z_FULL_FLUSH:Toe,Z_FINISH:Aoe,Z_OK:qv,Z_STREAM_END:koe,Z_DEFAULT_COMPRESSION:Poe,Z_DEFAULT_STRATEGY:Roe,Z_DEFLATED:Ooe}=Cm;function CE(e){this.options=N_.assign({level:Poe,method:Ooe,chunkSize:16384,windowBits:15,memLevel:8,strategy:Roe},e||{});let t=this.options;t.raw&&t.windowBits>0?t.windowBits=-t.windowBits:t.gzip&&t.windowBits>0&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new WD,this.strm.avail_out=0;let n=_p.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==qv)throw new Error(Mf[n]);if(t.header&&_p.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=Eg.string2buf(t.dictionary):KD.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=_p.deflateSetDictionary(this.strm,r),n!==qv)throw new Error(Mf[n]);this._dict_set=!0}}CE.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?Aoe:Coe,typeof e=="string"?n.input=Eg.string2buf(e):KD.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===Eoe||o===Toe)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=_p.deflate(n,o),i===koe)return n.next_out>0&&this.onData(n.output.subarray(0,n.next_out)),i=_p.deflateEnd(this.strm),this.onEnd(i),this.ended=!0,i===qv;if(n.avail_out===0){this.onData(n.output);continue}if(o>0&&n.next_out>0){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(n.avail_in===0)break}return!0};CE.prototype.onData=function(e){this.chunks.push(e)};CE.prototype.onEnd=function(e){e===qv&&(this.result=N_.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};const Ty=16209,Ioe=16191;var Moe=function(t,n){let r,i,o,s,a,l,u,c,d,f,h,p,m,b,_,v,g,y,S,w,x,E,A,T;const k=t.state;r=t.next_in,A=t.input,i=r+(t.avail_in-5),o=t.next_out,T=t.output,s=o-(n-t.avail_out),a=o+(t.avail_out-257),l=k.dmax,u=k.wsize,c=k.whave,d=k.wnext,f=k.window,h=k.hold,p=k.bits,m=k.lencode,b=k.distcode,_=(1<<k.lenbits)-1,v=(1<<k.distbits)-1;e:do{p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=m[h&_];t:for(;;){if(y=g>>>24,h>>>=y,p-=y,y=g>>>16&255,y===0)T[o++]=g&65535;else if(y&16){S=g&65535,y&=15,y&&(p<y&&(h+=A[r++]<<p,p+=8),S+=h&(1<<y)-1,h>>>=y,p-=y),p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=b[h&v];n:for(;;){if(y=g>>>24,h>>>=y,p-=y,y=g>>>16&255,y&16){if(w=g&65535,y&=15,p<y&&(h+=A[r++]<<p,p+=8,p<y&&(h+=A[r++]<<p,p+=8)),w+=h&(1<<y)-1,w>l){t.msg="invalid distance too far back",k.mode=Ty;break e}if(h>>>=y,p-=y,y=o-s,w>y){if(y=w-y,y>c&&k.sane){t.msg="invalid distance too far back",k.mode=Ty;break e}if(x=0,E=f,d===0){if(x+=u-y,y<S){S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}}else if(d<y){if(x+=u+d-y,y-=d,y<S){S-=y;do T[o++]=f[x++];while(--y);if(x=0,d<S){y=d,S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}}}else if(x+=d-y,y<S){S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}for(;S>2;)T[o++]=E[x++],T[o++]=E[x++],T[o++]=E[x++],S-=3;S&&(T[o++]=E[x++],S>1&&(T[o++]=E[x++]))}else{x=o-w;do T[o++]=T[x++],T[o++]=T[x++],T[o++]=T[x++],S-=3;while(S>2);S&&(T[o++]=T[x++],S>1&&(T[o++]=T[x++]))}}else if(y&64){t.msg="invalid distance code",k.mode=Ty;break e}else{g=b[(g&65535)+(h&(1<<y)-1)];continue n}break}}else if(y&64)if(y&32){k.mode=Ioe;break e}else{t.msg="invalid literal/length code",k.mode=Ty;break e}else{g=m[(g&65535)+(h&(1<<y)-1)];continue t}break}}while(r<i&&o<a);S=p>>3,r-=S,p-=S<<3,h&=(1<<p)-1,t.next_in=r,t.next_out=o,t.avail_in=r<i?5+(i-r):5-(r-i),t.avail_out=o<a?257+(a-o):257-(o-a),k.hold=h,k.bits=p};const ad=15,s6=852,a6=592,l6=0,F2=1,u6=2,Noe=new Uint16Array([3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0]),Doe=new Uint8Array([16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78]),Loe=new Uint16Array([1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0]),$oe=new Uint8Array([16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64]),Foe=(e,t,n,r,i,o,s,a)=>{const l=a.bits;let u=0,c=0,d=0,f=0,h=0,p=0,m=0,b=0,_=0,v=0,g,y,S,w,x,E=null,A;const T=new Uint16Array(ad+1),k=new Uint16Array(ad+1);let L=null,N,C,P;for(u=0;u<=ad;u++)T[u]=0;for(c=0;c<r;c++)T[t[n+c]]++;for(h=l,f=ad;f>=1&&T[f]===0;f--);if(h>f&&(h=f),f===0)return i[o++]=1<<24|64<<16|0,i[o++]=1<<24|64<<16|0,a.bits=1,0;for(d=1;d<f&&T[d]===0;d++);for(h<d&&(h=d),b=1,u=1;u<=ad;u++)if(b<<=1,b-=T[u],b<0)return-1;if(b>0&&(e===l6||f!==1))return-1;for(k[1]=0,u=1;u<ad;u++)k[u+1]=k[u]+T[u];for(c=0;c<r;c++)t[n+c]!==0&&(s[k[t[n+c]]++]=c);if(e===l6?(E=L=s,A=20):e===F2?(E=Noe,L=Doe,A=257):(E=Loe,L=$oe,A=0),v=0,c=0,u=d,x=o,p=h,m=0,S=-1,_=1<<h,w=_-1,e===F2&&_>s6||e===u6&&_>a6)return 1;for(;;){N=u-m,s[c]+1<A?(C=0,P=s[c]):s[c]>=A?(C=L[s[c]-A],P=E[s[c]-A]):(C=32+64,P=0),g=1<<u-m,y=1<<p,d=y;do y-=g,i[x+(v>>m)+y]=N<<24|C<<16|P|0;while(y!==0);for(g=1<<u-1;v&g;)g>>=1;if(g!==0?(v&=g-1,v+=g):v=0,c++,--T[u]===0){if(u===f)break;u=t[n+s[c]]}if(u>h&&(v&w)!==S){for(m===0&&(m=h),x+=d,p=u-m,b=1<<p;p+m<f&&(b-=T[p+m],!(b<=0));)p++,b<<=1;if(_+=1<<p,e===F2&&_>s6||e===u6&&_>a6)return 1;S=v&w,i[S]=h<<24|p<<16|x-o|0}}return v!==0&&(i[x+v]=u-m<<24|64<<16|0),a.bits=h,0};var bp=Foe;const Boe=0,XD=1,QD=2,{Z_FINISH:c6,Z_BLOCK:zoe,Z_TREES:Ay,Z_OK:Ac,Z_STREAM_END:Uoe,Z_NEED_DICT:joe,Z_STREAM_ERROR:rs,Z_DATA_ERROR:YD,Z_MEM_ERROR:ZD,Z_BUF_ERROR:Voe,Z_DEFLATED:d6}=Cm,D_=16180,f6=16181,h6=16182,p6=16183,g6=16184,m6=16185,y6=16186,v6=16187,_6=16188,b6=16189,Wv=16190,Aa=16191,B2=16192,S6=16193,z2=16194,w6=16195,x6=16196,C6=16197,E6=16198,ky=16199,Py=16200,T6=16201,A6=16202,k6=16203,P6=16204,R6=16205,U2=16206,O6=16207,I6=16208,Vn=16209,JD=16210,eL=16211,Goe=852,Hoe=592,qoe=15,Woe=qoe,M6=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function Koe(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Uc=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.mode<D_||t.mode>eL?1:0},tL=e=>{if(Uc(e))return rs;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=D_,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(Goe),t.distcode=t.distdyn=new Int32Array(Hoe),t.sane=1,t.back=-1,Ac},nL=e=>{if(Uc(e))return rs;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,tL(e)},rL=(e,t)=>{let n;if(Uc(e))return rs;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?rs:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,nL(e))},iL=(e,t)=>{if(!e)return rs;const n=new Koe;e.state=n,n.strm=e,n.window=null,n.mode=D_;const r=rL(e,t);return r!==Ac&&(e.state=null),r},Xoe=e=>iL(e,Woe);let N6=!0,j2,V2;const Qoe=e=>{if(N6){j2=new Int32Array(512),V2=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(bp(XD,e.lens,0,288,j2,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;bp(QD,e.lens,0,32,V2,0,e.work,{bits:5}),N6=!1}e.lencode=j2,e.lenbits=9,e.distcode=V2,e.distbits=5},oL=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new Uint8Array(o.wsize)),r>=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=i))),0},Yoe=(e,t)=>{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,v,g,y,S,w,x,E;const A=new Uint8Array(4);let T,k;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Uc(e)||!e.output||!e.input&&e.avail_in!==0)return rs;n=e.state,n.mode===Aa&&(n.mode=B2),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,E=Ac;e:for(;;)switch(n.mode){case D_:if(n.wrap===0){n.mode=B2;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&2&&u===35615){n.wbits===0&&(n.wbits=15),n.check=0,A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0),u=0,c=0,n.mode=f6;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Vn;break}if((u&15)!==d6){e.msg="unknown compression method",n.mode=Vn;break}if(u>>>=4,c-=4,x=(u&15)+8,n.wbits===0&&(n.wbits=x),x>15||x>n.wbits){e.msg="invalid window size",n.mode=Vn;break}n.dmax=1<<n.wbits,n.flags=0,e.adler=n.check=1,n.mode=u&512?b6:Aa,u=0,c=0;break;case f6:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.flags=u,(n.flags&255)!==d6){e.msg="unknown compression method",n.mode=Vn;break}if(n.flags&57344){e.msg="unknown header flags set",n.mode=Vn;break}n.head&&(n.head.text=u>>8&1),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0,n.mode=h6;case h6:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.time=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,A[2]=u>>>16&255,A[3]=u>>>24&255,n.check=Qr(n.check,A,4,0)),u=0,c=0,n.mode=p6;case p6:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.xflags=u&255,n.head.os=u>>8),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0,n.mode=g6;case g6:if(n.flags&1024){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length=u,n.head&&(n.head.extra_len=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=m6;case m6:if(n.flags&1024&&(h=n.length,h>a&&(h=a),h&&(n.head&&(x=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),x)),n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=y6;case y6:if(n.flags&2048){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.name+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=v6;case v6:if(n.flags&4096){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.comment+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.comment=null);n.mode=_6;case _6:if(n.flags&512){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.check&65535)){e.msg="header crc mismatch",n.mode=Vn;break}u=0,c=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=Aa;break;case b6:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}e.adler=n.check=M6(u),u=0,c=0,n.mode=Wv;case Wv:if(n.havedict===0)return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,joe;e.adler=n.check=1,n.mode=Aa;case Aa:if(t===zoe||t===Ay)break e;case B2:if(n.last){u>>>=c&7,c-=c&7,n.mode=U2;break}for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}switch(n.last=u&1,u>>>=1,c-=1,u&3){case 0:n.mode=S6;break;case 1:if(Qoe(n),n.mode=ky,t===Ay){u>>>=2,c-=2;break e}break;case 2:n.mode=x6;break;case 3:e.msg="invalid block type",n.mode=Vn}u>>>=2,c-=2;break;case S6:for(u>>>=c&7,c-=c&7;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if((u&65535)!==(u>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Vn;break}if(n.length=u&65535,u=0,c=0,n.mode=z2,t===Ay)break e;case z2:n.mode=w6;case w6:if(h=n.length,h){if(h>a&&(h=a),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),s),a-=h,o+=h,l-=h,s+=h,n.length-=h;break}n.mode=Aa;break;case x6:for(;c<14;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.nlen=(u&31)+257,u>>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Vn;break}n.have=0,n.mode=C6;case C6:for(;n.have<n.ncode;){for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.lens[L[n.have++]]=u&7,u>>>=3,c-=3}for(;n.have<19;)n.lens[L[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},E=bp(Boe,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,E){e.msg="invalid code lengths set",n.mode=Vn;break}n.have=0,n.mode=E6;case E6:for(;n.have<n.nlen+n.ndist;){for(;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(g<16)u>>>=_,c-=_,n.lens[n.have++]=g;else{if(g===16){for(k=_+2;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(u>>>=_,c-=_,n.have===0){e.msg="invalid bit length repeat",n.mode=Vn;break}x=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(k=_+3;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=3+(u&7),u>>>=3,c-=3}else{for(k=_+7;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Vn;break}for(;h--;)n.lens[n.have++]=x}}if(n.mode===Vn)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Vn;break}if(n.lenbits=9,T={bits:n.lenbits},E=bp(XD,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,E){e.msg="invalid literal/lengths set",n.mode=Vn;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},E=bp(QD,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,E){e.msg="invalid distances set",n.mode=Vn;break}if(n.mode=ky,t===Ay)break e;case ky:n.mode=Py;case Py:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Moe(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===Aa&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(v&&!(v&240)){for(y=_,S=v,w=g;b=n.lencode[w+((u&(1<<y+S)-1)>>y)],_=b>>>24,v=b>>>16&255,g=b&65535,!(y+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=y,c-=y,n.back+=y}if(u>>>=_,c-=_,n.back+=_,n.length=g,v===0){n.mode=R6;break}if(v&32){n.back=-1,n.mode=Aa;break}if(v&64){e.msg="invalid literal/length code",n.mode=Vn;break}n.extra=v&15,n.mode=T6;case T6:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=A6;case A6:for(;b=n.distcode[u&(1<<n.distbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(!(v&240)){for(y=_,S=v,w=g;b=n.distcode[w+((u&(1<<y+S)-1)>>y)],_=b>>>24,v=b>>>16&255,g=b&65535,!(y+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=y,c-=y,n.back+=y}if(u>>>=_,c-=_,n.back+=_,v&64){e.msg="invalid distance code",n.mode=Vn;break}n.offset=g,n.extra=v&15,n.mode=k6;case k6:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.offset+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Vn;break}n.mode=P6;case P6:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Vn;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=s-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[s++]=m[p++];while(--h);n.length===0&&(n.mode=Py);break;case R6:if(l===0)break e;i[s++]=n.length,l--,n.mode=Py;break;case U2:if(n.wrap){for(;c<32;){if(a===0)break e;a--,u|=r[o++]<<c,c+=8}if(f-=l,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Qr(n.check,i,f,s-f):xg(n.check,i,f,s-f)),f=l,n.wrap&4&&(n.flags?u:M6(u))!==n.check){e.msg="incorrect data check",n.mode=Vn;break}u=0,c=0}n.mode=O6;case O6:if(n.wrap&&n.flags){for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.total&4294967295)){e.msg="incorrect length check",n.mode=Vn;break}u=0,c=0}n.mode=I6;case I6:E=Uoe;break e;case Vn:E=YD;break e;case JD:return ZD;case eL:default:return rs}return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,(n.wsize||f!==e.avail_out&&n.mode<Vn&&(n.mode<U2||t!==c6))&&oL(e,e.output,e.next_out,f-e.avail_out),d-=e.avail_in,f-=e.avail_out,e.total_in+=d,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Qr(n.check,i,f,e.next_out-f):xg(n.check,i,f,e.next_out-f)),e.data_type=n.bits+(n.last?64:0)+(n.mode===Aa?128:0)+(n.mode===ky||n.mode===z2?256:0),(d===0&&f===0||t===c6)&&E===Ac&&(E=Voe),E},Zoe=e=>{if(Uc(e))return rs;let t=e.state;return t.window&&(t.window=null),e.state=null,Ac},Joe=(e,t)=>{if(Uc(e))return rs;const n=e.state;return n.wrap&2?(n.head=t,t.done=!1,Ac):rs},ese=(e,t)=>{const n=t.length;let r,i,o;return Uc(e)||(r=e.state,r.wrap!==0&&r.mode!==Wv)?rs:r.mode===Wv&&(i=1,i=xg(i,t,n,0),i!==r.check)?YD:(o=oL(e,t,n,n),o?(r.mode=JD,ZD):(r.havedict=1,Ac))};var tse=nL,nse=rL,rse=tL,ise=Xoe,ose=iL,sse=Yoe,ase=Zoe,lse=Joe,use=ese,cse="pako inflate (from Nodeca project)",za={inflateReset:tse,inflateReset2:nse,inflateResetKeep:rse,inflateInit:ise,inflateInit2:ose,inflate:sse,inflateEnd:ase,inflateGetHeader:lse,inflateSetDictionary:use,inflateInfo:cse};function dse(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}var fse=dse;const sL=Object.prototype.toString,{Z_NO_FLUSH:hse,Z_FINISH:pse,Z_OK:Tg,Z_STREAM_END:G2,Z_NEED_DICT:H2,Z_STREAM_ERROR:gse,Z_DATA_ERROR:D6,Z_MEM_ERROR:mse}=Cm;function Tm(e){this.options=N_.assign({chunkSize:1024*64,windowBits:15,to:""},e||{});const t=this.options;t.raw&&t.windowBits>=0&&t.windowBits<16&&(t.windowBits=-t.windowBits,t.windowBits===0&&(t.windowBits=-15)),t.windowBits>=0&&t.windowBits<16&&!(e&&e.windowBits)&&(t.windowBits+=32),t.windowBits>15&&t.windowBits<48&&(t.windowBits&15||(t.windowBits|=15)),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new WD,this.strm.avail_out=0;let n=za.inflateInit2(this.strm,t.windowBits);if(n!==Tg)throw new Error(Mf[n]);if(this.header=new fse,za.inflateGetHeader(this.strm,this.header),t.dictionary&&(typeof t.dictionary=="string"?t.dictionary=Eg.string2buf(t.dictionary):sL.call(t.dictionary)==="[object ArrayBuffer]"&&(t.dictionary=new Uint8Array(t.dictionary)),t.raw&&(n=za.inflateSetDictionary(this.strm,t.dictionary),n!==Tg)))throw new Error(Mf[n])}Tm.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize,i=this.options.dictionary;let o,s,a;if(this.ended)return!1;for(t===~~t?s=t:s=t===!0?pse:hse,sL.call(e)==="[object ArrayBuffer]"?n.input=new 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T=f.payload,x=T.queryCacheKey,E=T.requestId;return d[x]&&delete d[x][E],!0}if(t.internalActions.removeQueryResult.match(f))return delete d[f.payload.queryCacheKey],!0;if(n.pending.match(f)){var k=f.meta,L=k.arg,E=k.requestId;if(L.subscribe){var N=(m=d[p=L.queryCacheKey])!=null?m:d[p]={};return N[E]=(_=(b=L.subscriptionOptions)!=null?b:N[E])!=null?_:{},!0}}if(n.rejected.match(f)){var C=f.meta,P=C.condition,L=C.arg,E=C.requestId;if(P&&L.subscribe){var N=(g=d[v=L.queryCacheKey])!=null?g:d[v]={};return N[E]=(S=(y=L.subscriptionOptions)!=null?y:N[E])!=null?S:{},!0}}return!1};return function(d,f){var h,p;if(o||(o=JSON.parse(JSON.stringify(r.currentSubscriptions))),t.util.resetApiState.match(d))return o=r.currentSubscriptions={},[!0,!1];if(t.internalActions.internal_probeSubscription.match(d)){var m=d.payload,b=m.queryCacheKey,_=m.requestId,v=!!((h=r.currentSubscriptions[b])!=null&&h[_]);return[!1,v]}var g=c(r.currentSubscriptions,d);if(g){s||(_ue(function(){var 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+ * @license React
+ * use-sync-external-store-shim.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var $f=M;function xue(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var Cue=typeof Object.is=="function"?Object.is:xue,Eue=$f.useState,Tue=$f.useEffect,Aue=$f.useLayoutEffect,kue=$f.useDebugValue;function Pue(e,t){var n=t(),r=Eue({inst:{value:n,getSnapshot:t}}),i=r[0].inst,o=r[1];return Aue(function(){i.value=n,i.getSnapshot=t,ew(i)&&o({inst:i})},[e,n,t]),Tue(function(){return ew(i)&&o({inst:i}),e(function(){ew(i)&&o({inst:i})})},[e]),kue(n),n}function ew(e){var t=e.getSnapshot;e=e.value;try{var n=t();return!Cue(e,n)}catch{return!0}}function Rue(e,t){return t()}var Oue=typeof window>"u"||typeof window.document>"u"||typeof window.document.createElement>"u"?Rue:Pue;KL.useSyncExternalStore=$f.useSyncExternalStore!==void 0?$f.useSyncExternalStore:Oue;WL.exports=KL;var Iue=WL.exports,XL={exports:{}},QL={};/**
+ * @license React
+ * use-sync-external-store-shim/with-selector.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var nb=M,Mue=Iue;function Nue(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var Due=typeof Object.is=="function"?Object.is:Nue,Lue=Mue.useSyncExternalStore,$ue=nb.useRef,Fue=nb.useEffect,Bue=nb.useMemo,zue=nb.useDebugValue;QL.useSyncExternalStoreWithSelector=function(e,t,n,r,i){var o=$ue(null);if(o.current===null){var s={hasValue:!1,value:null};o.current=s}else s=o.current;o=Bue(function(){function l(h){if(!u){if(u=!0,c=h,h=r(h),i!==void 0&&s.hasValue){var p=s.value;if(i(p,h))return d=p}return d=h}if(p=d,Due(c,h))return p;var m=r(h);return i!==void 0&&i(p,m)?p:(c=h,d=m)}var u=!1,c,d,f=n===void 0?null:n;return[function(){return l(t())},f===null?void 0:function(){return l(f())}]},[t,n,r,i]);var a=Lue(e,o[0],o[1]);return Fue(function(){s.hasValue=!0,s.value=a},[a]),zue(a),a};XL.exports=QL;var YL=XL.exports;const Uue=Dc(YL);function jue(e){e()}let ZL=jue;const Vue=e=>ZL=e,Gue=()=>ZL,cP=Symbol.for("react-redux-context"),dP=typeof globalThis<"u"?globalThis:{};function Hue(){var e;if(!M.createContext)return{};const t=(e=dP[cP])!=null?e:dP[cP]=new Map;let n=t.get(M.createContext);return n||(n=M.createContext(null),t.set(M.createContext,n)),n}const pu=Hue();function IE(e=pu){return function(){return M.useContext(e)}}const JL=IE(),que=()=>{throw new Error("uSES not initialized!")};let e$=que;const Wue=e=>{e$=e},Kue=(e,t)=>e===t;function Xue(e=pu){const t=e===pu?JL:IE(e);return function(r,i={}){const{equalityFn:o=Kue,stabilityCheck:s=void 0,noopCheck:a=void 0}=typeof i=="function"?{equalityFn:i}:i,{store:l,subscription:u,getServerState:c,stabilityCheck:d,noopCheck:f}=t();M.useRef(!0);const h=M.useCallback({[r.name](m){return r(m)}}[r.name],[r,d,s]),p=e$(u.addNestedSub,l.getState,c||l.getState,h,o);return M.useDebugValue(p),p}}const t$=Xue();function t1(){return t1=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},t1.apply(this,arguments)}var n$={exports:{}},an={};/** @license React v16.13.1
+ * react-is.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var ni=typeof Symbol=="function"&&Symbol.for,ME=ni?Symbol.for("react.element"):60103,NE=ni?Symbol.for("react.portal"):60106,rb=ni?Symbol.for("react.fragment"):60107,ib=ni?Symbol.for("react.strict_mode"):60108,ob=ni?Symbol.for("react.profiler"):60114,sb=ni?Symbol.for("react.provider"):60109,ab=ni?Symbol.for("react.context"):60110,DE=ni?Symbol.for("react.async_mode"):60111,lb=ni?Symbol.for("react.concurrent_mode"):60111,ub=ni?Symbol.for("react.forward_ref"):60112,cb=ni?Symbol.for("react.suspense"):60113,Que=ni?Symbol.for("react.suspense_list"):60120,db=ni?Symbol.for("react.memo"):60115,fb=ni?Symbol.for("react.lazy"):60116,Yue=ni?Symbol.for("react.block"):60121,Zue=ni?Symbol.for("react.fundamental"):60117,Jue=ni?Symbol.for("react.responder"):60118,ece=ni?Symbol.for("react.scope"):60119;function $o(e){if(typeof e=="object"&&e!==null){var t=e.$$typeof;switch(t){case ME:switch(e=e.type,e){case DE:case lb:case rb:case ob:case ib:case cb:return e;default:switch(e=e&&e.$$typeof,e){case ab:case ub:case fb:case db:case sb:return e;default:return t}}case NE:return t}}}function r$(e){return $o(e)===lb}an.AsyncMode=DE;an.ConcurrentMode=lb;an.ContextConsumer=ab;an.ContextProvider=sb;an.Element=ME;an.ForwardRef=ub;an.Fragment=rb;an.Lazy=fb;an.Memo=db;an.Portal=NE;an.Profiler=ob;an.StrictMode=ib;an.Suspense=cb;an.isAsyncMode=function(e){return r$(e)||$o(e)===DE};an.isConcurrentMode=r$;an.isContextConsumer=function(e){return $o(e)===ab};an.isContextProvider=function(e){return $o(e)===sb};an.isElement=function(e){return typeof e=="object"&&e!==null&&e.$$typeof===ME};an.isForwardRef=function(e){return $o(e)===ub};an.isFragment=function(e){return $o(e)===rb};an.isLazy=function(e){return $o(e)===fb};an.isMemo=function(e){return $o(e)===db};an.isPortal=function(e){return $o(e)===NE};an.isProfiler=function(e){return $o(e)===ob};an.isStrictMode=function(e){return $o(e)===ib};an.isSuspense=function(e){return $o(e)===cb};an.isValidElementType=function(e){return typeof e=="string"||typeof e=="function"||e===rb||e===lb||e===ob||e===ib||e===cb||e===Que||typeof e=="object"&&e!==null&&(e.$$typeof===fb||e.$$typeof===db||e.$$typeof===sb||e.$$typeof===ab||e.$$typeof===ub||e.$$typeof===Zue||e.$$typeof===Jue||e.$$typeof===ece||e.$$typeof===Yue)};an.typeOf=$o;n$.exports=an;var tce=n$.exports,i$=tce,nce={$$typeof:!0,render:!0,defaultProps:!0,displayName:!0,propTypes:!0},rce={$$typeof:!0,compare:!0,defaultProps:!0,displayName:!0,propTypes:!0,type:!0},o$={};o$[i$.ForwardRef]=nce;o$[i$.Memo]=rce;var yn={};/**
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+ * react-is.production.min.js
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+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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n.count!="string",x=b1.hasDefaultValue(n),E=w?this.pluralResolver.getSuffix(u,n.count,n):"",A=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",T=n[`defaultValue${E}`]||n[`defaultValue${A}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(y=!0,f=T),this.isValidLookup(f)||(S=!0,f=s);const L=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&S?void 0:f,N=x&&T!==f&&this.options.updateMissing;if(S||y||N){if(this.logger.log(N?"updateKey":"missingKey",u,l,s,N?T:f),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let C=[];const P=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&P&&P[0])for(let B=0;B<P.length;B++)C.push(P[B]);else this.options.saveMissingTo==="all"?C=this.languageUtils.toResolveHierarchy(n.lng||this.language):C.push(n.lng||this.language);const D=(B,R,O)=>{const I=x&&O!==f?O:L;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,R,I,N,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,R,I,N,n),this.emit("missingKey",B,l,R,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?C.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(R=>{D([B],s+R,n[`defaultValue${R}`]||T)})}):D(C,s,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(S||y)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,y?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):s.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=xB.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(b=>{this.isValidLookup(r)||(a=b,!_8[`${m[0]}-${b}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(_8[`${m[0]}-${b}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(_=>{if(this.isValidLookup(r))return;s=_;const v=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(v,c,_,b,n);else{let y;f&&(y=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(v.push(c+y),n.ordinal&&y.indexOf(w)===0&&v.push(c+y.replace(w,this.options.pluralSeparator)),h&&v.push(c+S)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;v.push(x),f&&(v.push(x+y),n.ordinal&&y.indexOf(w)===0&&v.push(x+y.replace(w,this.options.pluralSeparator)),h&&v.push(x+S))}}let g;for(;g=v.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function pw(e){return e.charAt(0).toUpperCase()+e.slice(1)}class b8{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=na.create("languageUtils")}getScriptPartFromCode(t){if(t=_1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=_1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=pw(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=pw(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=pw(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let eye=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],tye={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const nye=["v1","v2","v3"],rye=["v4"],S8={zero:0,one:1,two:2,few:3,many:4,other:5};function iye(){const e={};return eye.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:tye[t.fc]}})}),e}class oye{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=na.create("pluralResolver"),(!this.options.compatibilityJSON||rye.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=iye()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(_1(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>S8[i]-S8[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!nye.includes(this.options.compatibilityJSON)}}function w8(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Xme(e,t,n);return!o&&i&&typeof n=="string"&&(o=v1(e,n,r),o===void 0&&(o=v1(t,n,r))),o}class sye{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=na.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Yme,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?hd(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?hd(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?hd(n.nestingPrefix):n.nestingPrefixEscaped||hd("$t("),this.nestingSuffix=n.nestingSuffix?hd(n.nestingSuffix):n.nestingSuffixEscaped||hd(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(p){return p.replace(/\$/g,"$$$$")}const c=p=>{if(p.indexOf(this.formatSeparator)<0){const v=w8(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(v,void 0,r,{...i,...n,interpolationkey:p}):v}const m=p.split(this.formatSeparator),b=m.shift().trim(),_=m.join(this.formatSeparator).trim();return this.format(w8(n,l,b,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:b})};this.resetRegExp();const d=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,f=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:p=>u(p)},{regex:this.regexp,safeValue:p=>this.escapeValue?u(this.escape(p)):u(p)}].forEach(p=>{for(a=0;o=p.regex.exec(t);){const m=o[1].trim();if(s=c(m),s===void 0)if(typeof d=="function"){const _=d(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,m))s="";else if(f){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${m} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=m8(s));const b=p.safeValue(s);if(t=t.replace(o[0],b),f?(p.regex.lastIndex+=s.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${c}[ ]*{`));let f=`{${d[1]}`;l=d[0],f=this.interpolate(f,s);const h=f.match(/'/g),p=f.match(/"/g);(h&&h.length%2===0&&!p||p.length%2!==0)&&(f=f.replace(/'/g,'"'));try{s=JSON.parse(f),u&&(s={...u,...s})}catch(m){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,m),`${l}${c}${f}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const c=i[1].split(this.formatSeparator).map(d=>d.trim());i[1]=c.shift(),l=c,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=m8(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function aye(e){let 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You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>a(null,d)).catch(a):a(null,c)}catch(c){a(c)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function x8(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function C8(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Hy(){}function dye(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class $g extends Ob{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=C8(t),this.services={},this.logger=na,this.modules={external:[]},dye(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=x8();this.options={...i,...this.options,...C8(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?na.init(o(this.modules.logger),this.options):na.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=lye);const d=new b8(this.options);this.store=new v8(this.options.resources,this.options);const f=this.services;f.logger=na,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new oye(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new sye(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new cye(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&xB.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=$h();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([s,a].concat(c))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const f=i.options.keySeparator||".";let h;return l.keyPrefix&&Array.isArray(s)?h=s.map(p=>`${l.keyPrefix}${f}${p}`):h=l.keyPrefix?`${l.keyPrefix}${f}${s}`:s,i.t(h,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=$h();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=$h();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return 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Lb{constructor(t){this.canvas=t,q0e.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",s,a,l,u;for(s=0;s<i;s++)a=r[s],l=a.method,l?(u=a.args,o+=l,t?o+=J0e:HB.Util._isArray(u[0])?o+=Q0e+u.join(N8)+Y0e:(n&&(u=u.map(c=>typeof c=="number"?Math.floor(c):c)),o+=K0e+u.join(N8)+X0e)):(o+=a.property,t||(o+=eve+a.val)),o+=Z0e;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=nve&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=D8.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=W0e(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;i<n;i++)s(D8[i]);t.setAttr=function(){r.apply(t,arguments);var a=arguments[0],l=arguments[1];(a==="shadowOffsetX"||a==="shadowOffsetY"||a==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:a,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}Xa.Context=Lb;tve.forEach(function(e){Object.defineProperty(Lb.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class rve extends Lb{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),c=l.x*u,d=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(c),Math.abs(d))),this.setAttr("shadowOffsetX",a.x*c),this.setAttr("shadowOffsetY",a.y*d)}}Xa.SceneContext=rve;class ive extends Lb{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}Xa.HitContext=ive;Object.defineProperty(Is,"__esModule",{value:!0});Is.HitCanvas=Is.SceneCanvas=Is.Canvas=void 0;const x1=ir,qB=Xa,WB=Et,ove=xt,sve=He;var qy;function ave(){if(qy)return qy;var e=x1.Util.createCanvasElement(),t=e.getContext("2d");return qy=function(){var n=WB.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),x1.Util.releaseCanvas(e),qy}class $b{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||WB.Konva.pixelRatio||ave();this.pixelRatio=r,this._canvas=x1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return x1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Is.Canvas=$b;ove.Factory.addGetterSetter($b,"pixelRatio",void 0,(0,sve.getNumberValidator)());class lve extends $b{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new qB.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Is.SceneCanvas=lve;class uve extends $b{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new qB.HitContext(this),this.setSize(t.width,t.height)}}Is.HitCanvas=uve;var Fb={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Et,n=ir;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=a.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(Fb);Object.defineProperty(Kn,"__esModule",{value:!0});Kn.Node=void 0;const Pt=ir,$m=xt,Wy=Is,zu=Et,Uo=Fb,yr=He;var F0="absoluteOpacity",Ky="allEventListeners",Na="absoluteTransform",L8="absoluteScale",Uu="canvas",cve="Change",dve="children",fve="konva",QC="listening",$8="mouseenter",F8="mouseleave",B8="set",z8="Shape",B0=" ",U8="stage",Cl="transform",hve="Stage",YC="visible",pve=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(B0);let gve=1;class at{constructor(t){this._id=gve++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===Cl||t===Na)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===Cl||t===Na,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(B0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Uu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===Na&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Uu)){const{scene:t,filter:n,hit:r}=this._cache.get(Uu);Pt.Util.releaseCanvas(t,n,r),this._cache.delete(Uu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){Pt.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Wy.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Wy.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Wy.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Uu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(F0),this._clearSelfAndDescendantCache(L8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(Uu,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Uu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){Pt.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(d){Pt.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Ky),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(B0),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(B0),i=r.length,o,s,a,l,u,c;if(this._cache&&this._cache.delete(Ky),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(s in this.eventListeners)this._off(s,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=Pt.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),Uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(Na),this._clearSelfAndDescendantCache(F0),this._clearSelfAndDescendantCache(L8),this._clearSelfAndDescendantCache(U8),this._clearSelfAndDescendantCache(YC),this._clearSelfAndDescendantCache(QC)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+Pt.Util._capitalize(t);return Pt.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==dve&&(r=B8+Pt.Util._capitalize(n),Pt.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(QC,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(YC,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;Uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!zu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==z8&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==hve&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(Cl),this._clearSelfAndDescendantCache(Na)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new Pt.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(Cl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(Cl),this._clearSelfAndDescendantCache(Na),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return Pt.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&Pt.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(F0,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=Pt.Util.isObject(i)&&!Pt.Util._isPlainObject(i)&&!Pt.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),Pt.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],Pt.Util.isValidSelector(o)||(Pt.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),Pt.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),Pt.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(U8,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(Na,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new Pt.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(Na)||new Pt.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(Cl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(Cl)||new Pt.Transform;r.reset();var i=this.x(),o=this.y(),s=zu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||c!==0)&&r.skew(u,c),(a!==1||l!==1)&&r.scale(a,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=Pt.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(fve)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new Wy.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,Pt.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():zu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+cve,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[B8+Pt.Util._capitalize(t)];return Pt.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(zu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!Pt.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===z8&&(n.target=this);var i=(t===$8||t===F8)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===$8||t===F8)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Ky))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(Ky,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;Uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){Uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=Uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:Pt.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=Uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),Uo.DD._endDragBefore(t),Uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=Uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||zu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;Uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=Uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&Uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return Pt.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return Pt.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=at.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),zu.Konva[r]||(Pt.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=zu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(at._createNode(i[a]));return o}}Kn.Node=at;at.prototype.nodeType="Node";at.prototype._attrsAffectingSize=[];at.prototype.eventListeners={};at.prototype.on.call(at.prototype,pve,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(Cl),this._clearSelfAndDescendantCache(Na)});at.prototype.on.call(at.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(YC)});at.prototype.on.call(at.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(QC)});at.prototype.on.call(at.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(F0)});const Sn=$m.Factory.addGetterSetter;Sn(at,"zIndex");Sn(at,"absolutePosition");Sn(at,"position");Sn(at,"x",0,(0,yr.getNumberValidator)());Sn(at,"y",0,(0,yr.getNumberValidator)());Sn(at,"globalCompositeOperation","source-over",(0,yr.getStringValidator)());Sn(at,"opacity",1,(0,yr.getNumberValidator)());Sn(at,"name","",(0,yr.getStringValidator)());Sn(at,"id","",(0,yr.getStringValidator)());Sn(at,"rotation",0,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"scale",["x","y"]);Sn(at,"scaleX",1,(0,yr.getNumberValidator)());Sn(at,"scaleY",1,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"skew",["x","y"]);Sn(at,"skewX",0,(0,yr.getNumberValidator)());Sn(at,"skewY",0,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"offset",["x","y"]);Sn(at,"offsetX",0,(0,yr.getNumberValidator)());Sn(at,"offsetY",0,(0,yr.getNumberValidator)());Sn(at,"dragDistance",null,(0,yr.getNumberValidator)());Sn(at,"width",0,(0,yr.getNumberValidator)());Sn(at,"height",0,(0,yr.getNumberValidator)());Sn(at,"listening",!0,(0,yr.getBooleanValidator)());Sn(at,"preventDefault",!0,(0,yr.getBooleanValidator)());Sn(at,"filters",null,function(e){return this._filterUpToDate=!1,e});Sn(at,"visible",!0,(0,yr.getBooleanValidator)());Sn(at,"transformsEnabled","all",(0,yr.getStringValidator)());Sn(at,"size");Sn(at,"dragBoundFunc");Sn(at,"draggable",!1,(0,yr.getBooleanValidator)());$m.Factory.backCompat(at,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var Vc={};Object.defineProperty(Vc,"__esModule",{value:!0});Vc.Container=void 0;const sh=xt,vw=Kn,Bb=He;class Gc extends vw.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=vw.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=vw.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(b){b[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}Vc.Container=Gc;sh.Factory.addComponentsGetterSetter(Gc,"clip",["x","y","width","height"]);sh.Factory.addGetterSetter(Gc,"clipX",void 0,(0,Bb.getNumberValidator)());sh.Factory.addGetterSetter(Gc,"clipY",void 0,(0,Bb.getNumberValidator)());sh.Factory.addGetterSetter(Gc,"clipWidth",void 0,(0,Bb.getNumberValidator)());sh.Factory.addGetterSetter(Gc,"clipHeight",void 0,(0,Bb.getNumberValidator)());sh.Factory.addGetterSetter(Gc,"clipFunc");var KB={},Eo={};Object.defineProperty(Eo,"__esModule",{value:!0});Eo.releaseCapture=Eo.setPointerCapture=Eo.hasPointerCapture=Eo.createEvent=Eo.getCapturedShape=void 0;const mve=Et,Bg=new Map,XB=mve.Konva._global.PointerEvent!==void 0;function yve(e){return Bg.get(e)}Eo.getCapturedShape=yve;function yT(e){return{evt:e,pointerId:e.pointerId}}Eo.createEvent=yT;function vve(e,t){return Bg.get(e)===t}Eo.hasPointerCapture=vve;function _ve(e,t){QB(e),t.getStage()&&(Bg.set(e,t),XB&&t._fire("gotpointercapture",yT(new PointerEvent("gotpointercapture"))))}Eo.setPointerCapture=_ve;function QB(e,t){const n=Bg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Bg.delete(e),XB&&n._fire("lostpointercapture",yT(new PointerEvent("lostpointercapture")))}Eo.releaseCapture=QB;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=ir,n=xt,r=Vc,i=Et,o=Is,s=Fb,a=Et,l=Eo;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",b="mousemove",_="mousedown",v="mouseup",g="pointermove",y="pointerdown",S="pointerup",w="pointercancel",x="lostpointercapture",E="pointerout",A="pointerleave",T="pointerover",k="pointerenter",L="contextmenu",N="touchstart",C="touchend",P="touchmove",D="touchcancel",B="wheel",R=5,O=[[m,"_pointerenter"],[_,"_pointerdown"],[b,"_pointermove"],[v,"_pointerup"],[h,"_pointerleave"],[N,"_pointerdown"],[P,"_pointermove"],[C,"_pointerup"],[D,"_pointercancel"],[p,"_pointerover"],[B,"_wheel"],[L,"_contextmenu"],[y,"_pointerdown"],[g,"_pointermove"],[S,"_pointerup"],[w,"_pointercancel"],[x,"_lostpointercapture"]];const I={mouse:{[E]:f,[A]:h,[T]:p,[k]:m,[g]:b,[y]:_,[S]:v,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[E]:"touchout",[A]:"touchleave",[T]:"touchover",[k]:"touchenter",[g]:P,[y]:N,[S]:C,[w]:D,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[E]:E,[A]:A,[T]:T,[k]:k,[g]:g,[y]:y,[S]:S,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},F=Q=>Q.indexOf("pointer")>=0?"pointer":Q.indexOf("touch")>=0?"touch":"mouse",U=Q=>{const j=F(Q);if(j==="pointer")return i.Konva.pointerEventsEnabled&&I.pointer;if(j==="touch")return I.touch;if(j==="mouse")return I.mouse};function V(Q={}){return(Q.clipFunc||Q.clipWidth||Q.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Q}const H="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class Y extends r.Container{constructor(j){super(V(j)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(j){const K=j.getType()==="Layer",ee=j.getType()==="FastLayer";K||ee||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var K=j.slice(1);j=document.getElementsByClassName(K)[0]}else{var ee;j.charAt(0)!=="#"?ee=j:ee=j.slice(1),j=document.getElementById(ee)}if(!j)throw"Can not find container in document with id "+ee}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,K=j.length,ee;for(ee=0;ee<K;ee++)j[ee].clear();return this}clone(j){return j||(j={}),j.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,j)}destroy(){super.destroy();var j=this.content;j&&t.Util._isInDocument(j)&&this.container().removeChild(j);var K=e.stages.indexOf(this);return K>-1&&e.stages.splice(K,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(H),null)}_getPointerById(j){return this._pointerPositions.find(K=>K.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var K=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),ee=K.getContext()._context,ie=this.children;return(j.x||j.y)&&ee.translate(-1*j.x,-1*j.y),ie.forEach(function(ge){if(ge.isVisible()){var ae=ge._toKonvaCanvas(j);ee.drawImage(ae._canvas,j.x,j.y,ae.getWidth()/ae.getPixelRatio(),ae.getHeight()/ae.getPixelRatio())}}),K}getIntersection(j){if(!j)return null;var K=this.children,ee=K.length,ie=ee-1,ge;for(ge=ie;ge>=0;ge--){const ae=K[ge].getIntersection(j);if(ae)return ae}return null}_resizeDOM(){var j=this.width(),K=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=K+d),this.bufferCanvas.setSize(j,K),this.bufferHitCanvas.setSize(j,K),this.children.forEach(ee=>{ee.setSize({width:j,height:K}),ee.draw()})}add(j,...K){if(arguments.length>1){for(var ee=0;ee<arguments.length;ee++)this.add(arguments[ee]);return this}super.add(j);var ie=this.children.length;return ie>R&&t.Util.warn("The stage has "+ie+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&O.forEach(([j,K])=>{this.content.addEventListener(j,ee=>{this[K](ee)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let K=this[j+"targetShape"];return K&&!K.getStage()&&(K=null),K}_pointerleave(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=this._getTargetShape(ee),ge=!s.DD.isDragging||i.Konva.hitOnDragEnabled;ie&&ge?(ie._fireAndBubble(K.pointerout,{evt:j}),ie._fireAndBubble(K.pointerleave,{evt:j}),this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this[ee+"targetShape"]=null):ge&&(this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(K.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=!1;this._changedPointerPositions.forEach(ge=>{var ae=this.getIntersection(ge);if(s.DD.justDragged=!1,i.Konva["_"+ee+"ListenClick"]=!0,!(ae&&ae.isListening()))return;i.Konva.capturePointerEventsEnabled&&ae.setPointerCapture(ge.id),this[ee+"ClickStartShape"]=ae,ae._fireAndBubble(K.pointerdown,{evt:j,pointerId:ge.id}),ie=!0;const et=j.type.indexOf("touch")>=0;ae.preventDefault()&&j.cancelable&&et&&j.preventDefault()}),ie||this._fire(K.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const K=U(j.type),ee=F(j.type);if(!K)return;s.DD.isDragging&&s.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var ie=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!ie)return;var ge={};let ae=!1;var dt=this._getTargetShape(ee);this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et),lt=et.id,Te={evt:j,pointerId:lt};var Gt=dt!==Ne;if(Gt&&dt&&(dt._fireAndBubble(K.pointerout,Object.assign({},Te),Ne),dt._fireAndBubble(K.pointerleave,Object.assign({},Te),Ne)),Ne){if(ge[Ne._id])return;ge[Ne._id]=!0}Ne&&Ne.isListening()?(ae=!0,Gt&&(Ne._fireAndBubble(K.pointerover,Object.assign({},Te),dt),Ne._fireAndBubble(K.pointerenter,Object.assign({},Te),dt),this[ee+"targetShape"]=Ne),Ne._fireAndBubble(K.pointermove,Object.assign({},Te))):dt&&(this._fire(K.pointerover,{evt:j,target:this,currentTarget:this,pointerId:lt}),this[ee+"targetShape"]=null)}),ae||this._fire(K.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const K=U(j.type),ee=F(j.type);if(!K)return;this.setPointersPositions(j);const ie=this[ee+"ClickStartShape"],ge=this[ee+"ClickEndShape"];var ae={};let dt=!1;this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et);if(Ne){if(Ne.releaseCapture(et.id),ae[Ne._id])return;ae[Ne._id]=!0}const lt=et.id,Te={evt:j,pointerId:lt};let Gt=!1;i.Konva["_"+ee+"InDblClickWindow"]?(Gt=!0,clearTimeout(this[ee+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+ee+"InDblClickWindow"]=!0,clearTimeout(this[ee+"DblTimeout"])),this[ee+"DblTimeout"]=setTimeout(function(){i.Konva["_"+ee+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ne&&Ne.isListening()?(dt=!0,this[ee+"ClickEndShape"]=Ne,Ne._fireAndBubble(K.pointerup,Object.assign({},Te)),i.Konva["_"+ee+"ListenClick"]&&ie&&ie===Ne&&(Ne._fireAndBubble(K.pointerclick,Object.assign({},Te)),Gt&&ge&&ge===Ne&&Ne._fireAndBubble(K.pointerdblclick,Object.assign({},Te)))):(this[ee+"ClickEndShape"]=null,i.Konva["_"+ee+"ListenClick"]&&this._fire(K.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:lt}),Gt&&this._fire(K.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:lt}))}),dt||this._fire(K.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+ee+"ListenClick"]=!1,j.cancelable&&ee!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(B,{evt:j}):this._fire(B,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const K=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());K&&K._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var K=this._getContentPosition(),ee=null,ie=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,ge=>{this._pointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,ge=>{this._changedPointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})})):(ee=(j.clientX-K.left)/K.scaleX,ie=(j.clientY-K.top)/K.scaleY,this.pointerPos={x:ee,y:ie},this._pointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var j=this.container();if(!j)throw"Stage has no container. A container is required.";j.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),j.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(j){j.batchDraw()}),this}}e.Stage=Y,Y.prototype.nodeType=u,(0,a._registerNode)(Y),n.Factory.addGetterSetter(Y,"container")})(KB);var Fm={},zr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Et,n=ir,r=xt,i=Kn,o=He,s=Et,a=Eo;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function v(A){A.stroke()}function g(){this._clearCache(l)}function y(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class E extends i.Node{constructor(T){super(T);let k;for(;k=n.Util.getRandomColor(),!(k&&!(k in e.shapes)););this.colorKey=k,e.shapes[k]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const k=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(k&&k.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const N=L.getMatrix(),C=typeof DOMMatrix>"u"?{a:N[0],b:N[1],c:N[2],d:N[3],e:N[4],f:N[5]}:new DOMMatrix(N);k.setTransform(C)}return k}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var k=p(),L=this.fillLinearGradientStartPoint(),N=this.fillLinearGradientEndPoint(),C=k.createLinearGradient(L.x,L.y,N.x,N.y),P=0;P<T.length;P+=2)C.addColorStop(T[P],T[P+1]);return C}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var T=this.fillRadialGradientColorStops();if(T){for(var k=p(),L=this.fillRadialGradientStartPoint(),N=this.fillRadialGradientEndPoint(),C=k.createRadialGradient(L.x,L.y,this.fillRadialGradientStartRadius(),N.x,N.y,this.fillRadialGradientEndRadius()),P=0;P<T.length;P+=2)C.addColorStop(T[P],T[P+1]);return C}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var T=n.Util.colorToRGBA(this.shadowColor());if(T)return"rgba("+T.r+","+T.g+","+T.b+","+T.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var k=this.getStage(),L=k.bufferHitCanvas,N;return L.getContext().clear(),this.drawHit(L,null,!0),N=L.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,N[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var k;if(!this.getStage()||!((k=this.attrs.perfectDrawEnabled)!==null&&k!==void 0?k:!0))return!1;const N=T||this.hasFill(),C=this.hasStroke(),P=this.getAbsoluteOpacity()!==1;if(N&&C&&P)return!0;const D=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(N&&C&&D&&B)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const k=T.skipTransform,L=T.relativeTo,N=this.getSelfRect(),P=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=N.width+P,B=N.height+P,R=!T.skipShadow&&this.hasShadow(),O=R?this.shadowOffsetX():0,I=R?this.shadowOffsetY():0,F=D+Math.abs(O),U=B+Math.abs(I),V=R&&this.shadowBlur()||0,H=F+V*2,Y=U+V*2,Q={width:H,height:Y,x:-(P/2+V)+Math.min(O,0)+N.x,y:-(P/2+V)+Math.min(I,0)+N.y};return k?Q:this._transformedRect(Q,L)}drawScene(T,k){var L=this.getLayer(),N=T||L.getCanvas(),C=N.getContext(),P=this._getCanvasCache(),D=this.getSceneFunc(),B=this.hasShadow(),R,O,I,F=N.isCache,U=k===this;if(!this.isVisible()&&!U)return this;if(P){C.save();var V=this.getAbsoluteTransform(k).getMatrix();return C.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(C),C.restore(),this}if(!D)return this;if(C.save(),this._useBufferCanvas()&&!F){R=this.getStage(),O=R.bufferCanvas,I=O.getContext(),I.clear(),I.save(),I._applyLineJoin(this);var H=this.getAbsoluteTransform(k).getMatrix();I.transform(H[0],H[1],H[2],H[3],H[4],H[5]),D.call(this,I,this),I.restore();var Y=O.pixelRatio;B&&C._applyShadow(this),C._applyOpacity(this),C._applyGlobalCompositeOperation(this),C.drawImage(O._canvas,0,0,O.width/Y,O.height/Y)}else{if(C._applyLineJoin(this),!U){var H=this.getAbsoluteTransform(k).getMatrix();C.transform(H[0],H[1],H[2],H[3],H[4],H[5]),C._applyOpacity(this),C._applyGlobalCompositeOperation(this)}B&&C._applyShadow(this),D.call(this,C,this)}return C.restore(),this}drawHit(T,k,L=!1){if(!this.shouldDrawHit(k,L))return this;var N=this.getLayer(),C=T||N.hitCanvas,P=C&&C.getContext(),D=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),R=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),R){P.save();var O=this.getAbsoluteTransform(k).getMatrix();return P.transform(O[0],O[1],O[2],O[3],O[4],O[5]),this._drawCachedHitCanvas(P),P.restore(),this}if(!D)return this;if(P.save(),P._applyLineJoin(this),!(this===k)){var F=this.getAbsoluteTransform(k).getMatrix();P.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return D.call(this,P,this),P.restore(),this}drawHitFromCache(T=0){var k=this._getCanvasCache(),L=this._getCachedSceneCanvas(),N=k.hit,C=N.getContext(),P=N.getWidth(),D=N.getHeight(),B,R,O,I,F,U;C.clear(),C.drawImage(L._canvas,0,0,P,D);try{for(B=C.getImageData(0,0,P,D),R=B.data,O=R.length,I=n.Util._hexToRgb(this.colorKey),F=0;F<O;F+=4)U=R[F+3],U>T?(R[F]=I.r,R[F+1]=I.g,R[F+2]=I.b,R[F+3]=255):R[F+3]=0;C.putImageData(B,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=E,E.prototype._fillFunc=m,E.prototype._strokeFunc=b,E.prototype._fillFuncHit=_,E.prototype._strokeFuncHit=v,E.prototype._centroid=!1,E.prototype.nodeType="Shape",(0,s._registerNode)(E),E.prototype.eventListeners={},E.prototype.on.call(E.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),E.prototype.on.call(E.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(E,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(E,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(E,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(E,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"lineJoin"),r.Factory.addGetterSetter(E,"lineCap"),r.Factory.addGetterSetter(E,"sceneFunc"),r.Factory.addGetterSetter(E,"hitFunc"),r.Factory.addGetterSetter(E,"dash"),r.Factory.addGetterSetter(E,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(E,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(E,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternImage"),r.Factory.addGetterSetter(E,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(E,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(E,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(E,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(E,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(E,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(E,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(E,"fillEnabled",!0),r.Factory.addGetterSetter(E,"strokeEnabled",!0),r.Factory.addGetterSetter(E,"shadowEnabled",!0),r.Factory.addGetterSetter(E,"dashEnabled",!0),r.Factory.addGetterSetter(E,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(E,"fillPriority","color"),r.Factory.addComponentsGetterSetter(E,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(E,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(E,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(E,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(E,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(E,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(E,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(E,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(E,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(E,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(E,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(E,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(E,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(E,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(E,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(E,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(E,"fillPatternRotation",0),r.Factory.addGetterSetter(E,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(E,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(zr);Object.defineProperty(Fm,"__esModule",{value:!0});Fm.Layer=void 0;const Ra=ir,_w=Vc,gd=Kn,vT=xt,j8=Is,bve=He,Sve=zr,wve=Et;var xve="#",Cve="beforeDraw",Eve="draw",YB=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Tve=YB.length;class ah extends _w.Container{constructor(t){super(t),this.canvas=new j8.SceneCanvas,this.hitCanvas=new j8.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){gd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=gd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(gd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(gd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return gd.Node.prototype.remove.call(this),t&&t.parentNode&&Ra.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Ra.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),gd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){Ra.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){Ra.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,Ra.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<Tve;i++){const o=YB[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=Ra.Util._rgbToHex(r[0],r[1],r[2]),s=Sve.shapes[xve+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Cve,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),_w.Container.prototype.drawScene.call(this,i,n),this._fire(Eve,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),_w.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return Ra.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Fm.Layer=ah;ah.prototype.nodeType="Layer";(0,wve._registerNode)(ah);vT.Factory.addGetterSetter(ah,"imageSmoothingEnabled",!0);vT.Factory.addGetterSetter(ah,"clearBeforeDraw",!0);vT.Factory.addGetterSetter(ah,"hitGraphEnabled",!0,(0,bve.getBooleanValidator)());var zb={};Object.defineProperty(zb,"__esModule",{value:!0});zb.FastLayer=void 0;const Ave=ir,kve=Fm,Pve=Et;class _T extends kve.Layer{constructor(t){super(t),this.listening(!1),Ave.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}zb.FastLayer=_T;_T.prototype.nodeType="FastLayer";(0,Pve._registerNode)(_T);var lh={};Object.defineProperty(lh,"__esModule",{value:!0});lh.Group=void 0;const Rve=ir,Ove=Vc,Ive=Et;class bT extends Ove.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Rve.Util.throw("You may only add groups and shapes to groups.")}}lh.Group=bT;bT.prototype.nodeType="Group";(0,Ive._registerNode)(bT);var uh={};Object.defineProperty(uh,"__esModule",{value:!0});uh.Animation=void 0;const bw=Et,V8=ir;var Sw=function(){return bw.glob.performance&&bw.glob.performance.now?function(){return bw.glob.performance.now()}:function(){return new Date().getTime()}}();class Js{constructor(t,n){this.id=Js.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Sw(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=Js,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Sw(),Js._addAnimation(this),this}stop(){return Js._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,c,d;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Sw()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=Js;t.animations.length?(t._runFrames(),V8.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,V8.Util.requestAnimFrame(this._animationLoop))}}uh.Animation=Js;Js.animations=[];Js.animIdCounter=0;Js.animRunning=!1;var ZB={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=ir,n=uh,r=Kn,i=Et;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,b,_,v,g,y){this.prop=p,this.propFunc=m,this.begin=_,this._pos=_,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=y,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=b,this._change=v-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,b=p.node,_=b._id,v,g=p.easing||e.Easings.Linear,y=!!p.yoyo,S;typeof p.duration>"u"?v=.3:p.duration===0?v=.001:v=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(x){m._tweenFunc(x)},g,0,1,v*1e3,y),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,v,g,y,S,w,x,E,A;if(y=f.tweens[_][p],y&&delete f.attrs[_][y][p],v=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,v.length),p==="points"&&m.length!==v.length&&(m.length>v.length?(E=v,v=t.Util._prepareArrayForTween(v,m,b.closed())):(x=m,m=t.Util._prepareArrayForTween(m,v,b.closed()))),p.indexOf("fill")===0)for(S=0;S<w;S++)if(S%2===0)g.push(m[S]-v[S]);else{var T=t.Util.colorToRGBA(v[S]);A=t.Util.colorToRGBA(m[S]),v[S]=T,g.push({r:A.r-T.r,g:A.g-T.g,b:A.b-T.b,a:A.a-T.a})}else for(S=0;S<w;S++)g.push(m[S]-v[S]);else c.indexOf(p)!==-1?(v=t.Util.colorToRGBA(v),A=t.Util.colorToRGBA(m),g={r:A.r-v.r,g:A.g-v.g,b:A.b-v.b,a:A.a-v.a}):g=m-v;f.attrs[_][this._id][p]={start:v,diff:g,end:m,trueEnd:x,trueStart:E},f.tweens[_][p]=this._id}_tweenFunc(p){var m=this.node,b=f.attrs[m._id][this._id],_,v,g,y,S,w,x,E;for(_ in b){if(v=b[_],g=v.start,y=v.diff,E=v.end,t.Util._isArray(g))if(S=[],x=Math.max(g.length,E.length),_.indexOf("fill")===0)for(w=0;w<x;w++)w%2===0?S.push((g[w]||0)+y[w]*p):S.push("rgba("+Math.round(g[w].r+y[w].r*p)+","+Math.round(g[w].g+y[w].g*p)+","+Math.round(g[w].b+y[w].b*p)+","+(g[w].a+y[w].a*p)+")");else for(w=0;w<x;w++)S.push((g[w]||0)+y[w]*p);else c.indexOf(_)!==-1?S="rgba("+Math.round(g.r+y.r*p)+","+Math.round(g.g+y.g*p)+","+Math.round(g.b+y.b*p)+","+(g.a+y.a*p)+")":S=g+y*p;m.setAttr(_,S)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b)===1?p+m:(v||(v=b*.3),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),-(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v))+p)},ElasticEaseOut(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b)===1?p+m:(v||(v=b*.3),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),_*Math.pow(2,-10*h)*Math.sin((h*b-g)*(2*Math.PI)/v)+m+p)},ElasticEaseInOut(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b/2)===2?p+m:(v||(v=b*(.3*1.5)),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),h<1?-.5*(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v))+p:_*Math.pow(2,-10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v)*.5+m+p)},BounceEaseOut(h,p,m,b){return(h/=b)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,b){return m-e.Easings.BounceEaseOut(b-h,0,m,b)+p},BounceEaseInOut(h,p,m,b){return h<b/2?e.Easings.BounceEaseIn(h*2,0,m,b)*.5+p:e.Easings.BounceEaseOut(h*2-b,0,m,b)*.5+m*.5+p},EaseIn(h,p,m,b){return m*(h/=b)*h+p},EaseOut(h,p,m,b){return-m*(h/=b)*(h-2)+p},EaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,b){return m*(h/=b)*h*h*h*h+p},StrongEaseOut(h,p,m,b){return m*((h=h/b-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,b){return m*h/b+p}}})(ZB);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=Et,n=ir,r=Kn,i=Vc,o=KB,s=Fm,a=zb,l=lh,u=Fb,c=zr,d=uh,f=ZB,h=Xa,p=Is;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(GB);var Ub={};Object.defineProperty(Ub,"__esModule",{value:!0});Ub.Arc=void 0;const jb=xt,Mve=zr,G8=Et,Vb=He,Nve=Et;class pl extends Mve.Shape{_sceneFunc(t){var n=G8.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=G8.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),s=1,a=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}Ub.Arc=pl;pl.prototype._centroid=!0;pl.prototype.className="Arc";pl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,Nve._registerNode)(pl);jb.Factory.addGetterSetter(pl,"innerRadius",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"outerRadius",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"angle",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"clockwise",!1,(0,Vb.getBooleanValidator)());var Gb={},Bm={};Object.defineProperty(Bm,"__esModule",{value:!0});Bm.Line=void 0;const Hb=xt,Dve=zr,JB=He,Lve=Et;function ZC(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function H8(e,t){var n=e.length,r=[],i,o;for(i=2;i<n-2;i+=2)o=ZC(e[i-2],e[i-1],e[i],e[i+1],e[i+2],e[i+3],t),!isNaN(o[0])&&(r.push(o[0]),r.push(o[1]),r.push(e[i]),r.push(e[i+1]),r.push(o[2]),r.push(o[3]));return r}class Pu extends Dve.Shape{constructor(t){super(t),this.on("pointsChange.konva tensionChange.konva closedChange.konva bezierChange.konva",function(){this._clearCache("tensionPoints")})}_sceneFunc(t){var n=this.points(),r=n.length,i=this.tension(),o=this.closed(),s=this.bezier(),a,l,u;if(r){if(t.beginPath(),t.moveTo(n[0],n[1]),i!==0&&r>4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u<l-2;)t.bezierCurveTo(a[u++],a[u++],a[u++],a[u++],a[u++],a[u++]);o||t.quadraticCurveTo(a[l-2],a[l-1],n[r-2],n[r-1])}else if(s)for(u=2;u<r;)t.bezierCurveTo(n[u++],n[u++],n[u++],n[u++],n[u++],n[u++]);else for(u=2;u<r;u+=2)t.lineTo(n[u],n[u+1]);o?(t.closePath(),t.fillStrokeShape(this)):t.strokeShape(this)}}getTensionPoints(){return this._getCache("tensionPoints",this._getTensionPoints)}_getTensionPoints(){return this.closed()?this._getTensionPointsClosed():H8(this.points(),this.tension())}_getTensionPointsClosed(){var t=this.points(),n=t.length,r=this.tension(),i=ZC(t[n-2],t[n-1],t[0],t[1],t[2],t[3],r),o=ZC(t[n-4],t[n-3],t[n-2],t[n-1],t[0],t[1],r),s=H8(t,r),a=[i[2],i[3]].concat(s).concat([o[0],o[1],t[n-2],t[n-1],o[2],o[3],i[0],i[1],t[0],t[1]]);return 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n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Mr.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Mr.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Mr.getPointOnCubicBezier((0,md.t2length)(t,Mr.getPathLength(n),m=>(0,md.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Mr.getPointOnQuadraticBezier((0,md.t2length)(t,Mr.getPathLength(n),m=>(0,md.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,Mr.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:s,y:a+c};else if((a-r)/(s-n+1e-8)===l)d={x:s+u,y:a+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(s-n)*(i-n)+(a-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var b=this.getLineLength(s,a,f,h),_=Math.sqrt(t*t-b*b);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function c(b){return b*b*b}function d(b){return 3*b*b*(1-b)}function f(b){return 3*b*(1-b)*(1-b)}function h(b){return(1-b)*(1-b)*(1-b)}var p=l*c(t)+s*d(t)+i*f(t)+n*h(t),m=u*c(t)+a*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=s*l(t)+i*u(t)+n*c(t),f=a*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),a.length=0;d=c.exec(f);)a.push(d[0]);for(var p=[],m=0,b=a.length;m<b;m++){if(a[m]==="00"){p.push(0,0);continue}var _=parseFloat(a[m]);isNaN(_)?p.push(0):p.push(_)}for(;p.length>0&&!isNaN(p[0]);){var v=null,g=[],y=l,S=u,w,x,E,A,T,k,L,N,C,P;switch(h){case"l":l+=p.shift(),u+=p.shift(),v="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var D=p.shift(),B=p.shift();if(l+=D,u+=B,v="M",s.length>2&&s[s.length-1].command==="z"){for(var R=s.length-2;R>=0;R--)if(s[R].command==="M"){l=s[R].points[0]+D,u=s[R].points[1]+B;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),v="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),v="L",g.push(l,u);break;case"H":l=p.shift(),v="L",g.push(l,u);break;case"v":u+=p.shift(),v="L",g.push(l,u);break;case"V":u=p.shift(),v="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="C",g.push(l,u);break;case"S":x=l,E=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),E=u+(u-w.points[3])),g.push(x,E,p.shift(),p.shift()),l=p.shift(),u=p.shift(),v="C",g.push(l,u);break;case"s":x=l,E=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),E=u+(u-w.points[3])),g.push(x,E,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="Q",g.push(l,u);break;case"T":x=l,E=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),E=u+(u-w.points[1])),l=p.shift(),u=p.shift(),v="Q",g.push(x,E,l,u);break;case"t":x=l,E=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),E=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),v="Q",g.push(x,E,l,u);break;case"A":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),C=l,P=u,l=p.shift(),u=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,P,l,u,L,N,A,T,k);break;case"a":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),C=l,P=u,l+=p.shift(),u+=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,P,l,u,L,N,A,T,k);break}s.push({command:v||h,points:g,start:{x:y,y:S},pathLength:this.calcLength(y,S,v||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Mr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,md.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,md.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l<f;l+=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(a*a)+f*f/(l*l);h>1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,v=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},y=function(T,k){return(T[0]*k[0]+T[1]*k[1])/(g(T)*g(k))},S=function(T,k){return(T[0]*k[1]<T[1]*k[0]?-1:1)*Math.acos(y(T,k))},w=S([1,0],[(d-m)/a,(f-b)/l]),x=[(d-m)/a,(f-b)/l],E=[(-1*d-m)/a,(-1*f-b)/l],A=S(x,E);return y(x,E)<=-1&&(A=Math.PI),y(x,E)>=1&&(A=0),s===0&&A>0&&(A=A-2*Math.PI),s===1&&A<0&&(A=A+2*Math.PI),[_,v,a,l,w,A,c,s]}}ch.Path=Mr;Mr.prototype.className="Path";Mr.prototype._attrsAffectingSize=["data"];(0,Bve._registerNode)(Mr);$ve.Factory.addGetterSetter(Mr,"data");Object.defineProperty(Gb,"__esModule",{value:!0});Gb.Arrow=void 0;const qb=xt,zve=Bm,tz=He,Uve=Et,q8=ch;class Hc extends zve.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=q8.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=q8.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}Gb.Arrow=Hc;Hc.prototype.className="Arrow";(0,Uve._registerNode)(Hc);qb.Factory.addGetterSetter(Hc,"pointerLength",10,(0,tz.getNumberValidator)());qb.Factory.addGetterSetter(Hc,"pointerWidth",10,(0,tz.getNumberValidator)());qb.Factory.addGetterSetter(Hc,"pointerAtBeginning",!1);qb.Factory.addGetterSetter(Hc,"pointerAtEnding",!0);var Wb={};Object.defineProperty(Wb,"__esModule",{value:!0});Wb.Circle=void 0;const jve=xt,Vve=zr,Gve=He,Hve=Et;let dh=class extends Vve.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};Wb.Circle=dh;dh.prototype._centroid=!0;dh.prototype.className="Circle";dh.prototype._attrsAffectingSize=["radius"];(0,Hve._registerNode)(dh);jve.Factory.addGetterSetter(dh,"radius",0,(0,Gve.getNumberValidator)());var Kb={};Object.defineProperty(Kb,"__esModule",{value:!0});Kb.Ellipse=void 0;const ST=xt,qve=zr,nz=He,Wve=Et;class Ru extends qve.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}Kb.Ellipse=Ru;Ru.prototype.className="Ellipse";Ru.prototype._centroid=!0;Ru.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,Wve._registerNode)(Ru);ST.Factory.addComponentsGetterSetter(Ru,"radius",["x","y"]);ST.Factory.addGetterSetter(Ru,"radiusX",0,(0,nz.getNumberValidator)());ST.Factory.addGetterSetter(Ru,"radiusY",0,(0,nz.getNumberValidator)());var Xb={};Object.defineProperty(Xb,"__esModule",{value:!0});Xb.Image=void 0;const ww=ir,qc=xt,Kve=zr,Xve=Et,zm=He;let wa=class rz extends Kve.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?ww.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?ww.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=ww.Util.createImageElement();i.onload=function(){var o=new rz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};Xb.Image=wa;wa.prototype.className="Image";(0,Xve._registerNode)(wa);qc.Factory.addGetterSetter(wa,"cornerRadius",0,(0,zm.getNumberOrArrayOfNumbersValidator)(4));qc.Factory.addGetterSetter(wa,"image");qc.Factory.addComponentsGetterSetter(wa,"crop",["x","y","width","height"]);qc.Factory.addGetterSetter(wa,"cropX",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropY",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropWidth",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropHeight",0,(0,zm.getNumberValidator)());var Uf={};Object.defineProperty(Uf,"__esModule",{value:!0});Uf.Tag=Uf.Label=void 0;const Qb=xt,Qve=zr,Yve=lh,wT=He,iz=Et;var oz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],Zve="Change.konva",Jve="none",JC="up",e3="right",t3="down",n3="left",e1e=oz.length;class xT extends Yve.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<e1e;r++)t.on(oz[r]+Zve,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case JC:a=r/2,l=-1*u;break;case e3:a=r+s,l=i/2;break;case t3:a=r/2,l=i+u;break;case n3:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Uf.Label=xT;xT.prototype.className="Label";(0,iz._registerNode)(xT);class Wc extends Qve.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof a=="number"?l=u=c=d=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),d=Math.min(a[2]||0,n/2,r/2),c=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===JC&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===e3&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===t3&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===n3&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===JC?(n-=i,a+=i):o===t3?a+=i:o===n3?(t-=r*1.5,s+=r):o===e3&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Uf.Tag=Wc;Wc.prototype.className="Tag";(0,iz._registerNode)(Wc);Qb.Factory.addGetterSetter(Wc,"pointerDirection",Jve);Qb.Factory.addGetterSetter(Wc,"pointerWidth",0,(0,wT.getNumberValidator)());Qb.Factory.addGetterSetter(Wc,"pointerHeight",0,(0,wT.getNumberValidator)());Qb.Factory.addGetterSetter(Wc,"cornerRadius",0,(0,wT.getNumberOrArrayOfNumbersValidator)(4));var Um={};Object.defineProperty(Um,"__esModule",{value:!0});Um.Rect=void 0;const t1e=xt,n1e=zr,r1e=Et,i1e=ir,o1e=He;let Yb=class extends n1e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?i1e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Um.Rect=Yb;Yb.prototype.className="Rect";(0,r1e._registerNode)(Yb);t1e.Factory.addGetterSetter(Yb,"cornerRadius",0,(0,o1e.getNumberOrArrayOfNumbersValidator)(4));var Zb={};Object.defineProperty(Zb,"__esModule",{value:!0});Zb.RegularPolygon=void 0;const sz=xt,s1e=zr,az=He,a1e=Et;class Kc extends s1e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}Zb.RegularPolygon=Kc;Kc.prototype.className="RegularPolygon";Kc.prototype._centroid=!0;Kc.prototype._attrsAffectingSize=["radius"];(0,a1e._registerNode)(Kc);sz.Factory.addGetterSetter(Kc,"radius",0,(0,az.getNumberValidator)());sz.Factory.addGetterSetter(Kc,"sides",0,(0,az.getNumberValidator)());var Jb={};Object.defineProperty(Jb,"__esModule",{value:!0});Jb.Ring=void 0;const lz=xt,l1e=zr,uz=He,u1e=Et;var W8=Math.PI*2;class Xc extends l1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,W8,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),W8,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}Jb.Ring=Xc;Xc.prototype.className="Ring";Xc.prototype._centroid=!0;Xc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,u1e._registerNode)(Xc);lz.Factory.addGetterSetter(Xc,"innerRadius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(Xc,"outerRadius",0,(0,uz.getNumberValidator)());var eS={};Object.defineProperty(eS,"__esModule",{value:!0});eS.Sprite=void 0;const Qc=xt,c1e=zr,d1e=uh,cz=He,f1e=Et;class xa extends c1e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new d1e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(s){var f=s[n],h=r*2;t.drawImage(d,a,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,a,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],c=r*2;t.rect(u[c+0],u[c+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}eS.Sprite=xa;xa.prototype.className="Sprite";(0,f1e._registerNode)(xa);Qc.Factory.addGetterSetter(xa,"animation");Qc.Factory.addGetterSetter(xa,"animations");Qc.Factory.addGetterSetter(xa,"frameOffsets");Qc.Factory.addGetterSetter(xa,"image");Qc.Factory.addGetterSetter(xa,"frameIndex",0,(0,cz.getNumberValidator)());Qc.Factory.addGetterSetter(xa,"frameRate",17,(0,cz.getNumberValidator)());Qc.Factory.backCompat(xa,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var tS={};Object.defineProperty(tS,"__esModule",{value:!0});tS.Star=void 0;const CT=xt,h1e=zr,ET=He,p1e=Et;class Ou extends h1e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}tS.Star=Ou;Ou.prototype.className="Star";Ou.prototype._centroid=!0;Ou.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,p1e._registerNode)(Ou);CT.Factory.addGetterSetter(Ou,"numPoints",5,(0,ET.getNumberValidator)());CT.Factory.addGetterSetter(Ou,"innerRadius",0,(0,ET.getNumberValidator)());CT.Factory.addGetterSetter(Ou,"outerRadius",0,(0,ET.getNumberValidator)());var Ic={};Object.defineProperty(Ic,"__esModule",{value:!0});Ic.Text=Ic.stringToArray=void 0;const r3=ir,Zi=xt,g1e=zr,Iu=He,m1e=Et;function dz(e){return Array.from(e)}Ic.stringToArray=dz;var yd="auto",y1e="center",Fh="justify",v1e="Change.konva",_1e="2d",K8="-",fz="left",b1e="text",S1e="Text",w1e="top",x1e="bottom",X8="middle",hz="normal",C1e="px ",Xy=" ",E1e="right",T1e="word",A1e="char",Q8="none",xw="…",pz=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],k1e=pz.length;function P1e(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Qy;function Cw(){return Qy||(Qy=r3.Util.createCanvasElement().getContext(_1e),Qy)}function R1e(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function O1e(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function I1e(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}let vr=class extends g1e.Shape{constructor(t){super(I1e(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<k1e;n++)this.on(pz[n]+v1e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,b,_=0,_=s/2,v=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",X8),t.setAttr("textAlign",fz),a===X8?l=(this.getHeight()-r*s-i*2)/2:a===x1e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),b=0;b<r;b++){var v=0,g=0,y=n[b],S=y.text,w=y.width,x=y.lastInParagraph,E,A,T;if(t.save(),u===E1e?v+=c-w-i*2:u===y1e&&(v+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(v,_+g+Math.round(o/2)),E=S.split(" ").length-1,A=E===0,T=u===Fh&&!x?c-i*2:w,t.lineTo(v+Math.round(T),_+g+Math.round(o/2)),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(v,_+g),E=S.split(" ").length-1,A=E===0,T=u===Fh&&x&&!A?c-i*2:w,t.lineTo(v+Math.round(T),_+g),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(d!==0||u===Fh){E=S.split(" ").length-1;for(var k=dz(S),L=0;L<k.length;L++){var N=k[L];N===" "&&!x&&u===Fh&&(v+=(c-i*2-w)/E),this._partialTextX=v,this._partialTextY=_+g,this._partialText=N,t.fillStrokeShape(this),v+=this.measureSize(N).width+d}}else this._partialTextX=v,this._partialTextY=_+g,this._partialText=S,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=r3.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(b1e,n),this}getWidth(){var t=this.attrs.width===yd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===yd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return r3.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=Cw(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+Xy+this.fontVariant()+Xy+(this.fontSize()+C1e)+P1e(this.fontFamily())}_addTextLine(t){this.align()===Fh&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return Cw().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
+`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==yd&&o!==void 0,l=s!==yd&&s!==void 0,u=this.padding(),c=o-u*2,d=s-u*2,f=0,h=this.wrap(),p=h!==Q8,m=h!==A1e&&p,b=this.ellipsis();this.textArr=[],Cw().font=this._getContextFont();for(var _=b?this._getTextWidth(xw):0,v=0,g=t.length;v<g;++v){var y=t[v],S=this._getTextWidth(y);if(a&&S>c)for(;y.length>0;){for(var w=0,x=y.length,E="",A=0;w<x;){var T=w+x>>>1,k=y.slice(0,T+1),L=this._getTextWidth(k)+_;L<=c?(w=T+1,E=k,A=L):x=T}if(E){if(m){var N,C=y[E.length],P=C===Xy||C===K8;P&&A<=c?N=E.length:N=Math.max(E.lastIndexOf(Xy),E.lastIndexOf(K8))+1,N>0&&(w=N,E=E.slice(0,w),A=this._getTextWidth(E))}E=E.trimRight(),this._addTextLine(E),r=Math.max(r,A),f+=i;var D=this._shouldHandleEllipsis(f);if(D){this._tryToAddEllipsisToLastLine();break}if(y=y.slice(w),y=y.trimLeft(),y.length>0&&(S=this._getTextWidth(y),S<=c)){this._addTextLine(y),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(y),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&v<g-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&f+i>d)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==yd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==Q8;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==yd&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+xw)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+xw)}}getStrokeScaleEnabled(){return!0}};Ic.Text=vr;vr.prototype._fillFunc=R1e;vr.prototype._strokeFunc=O1e;vr.prototype.className=S1e;vr.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,m1e._registerNode)(vr);Zi.Factory.overWriteSetter(vr,"width",(0,Iu.getNumberOrAutoValidator)());Zi.Factory.overWriteSetter(vr,"height",(0,Iu.getNumberOrAutoValidator)());Zi.Factory.addGetterSetter(vr,"fontFamily","Arial");Zi.Factory.addGetterSetter(vr,"fontSize",12,(0,Iu.getNumberValidator)());Zi.Factory.addGetterSetter(vr,"fontStyle",hz);Zi.Factory.addGetterSetter(vr,"fontVariant",hz);Zi.Factory.addGetterSetter(vr,"padding",0,(0,Iu.getNumberValidator)());Zi.Factory.addGetterSetter(vr,"align",fz);Zi.Factory.addGetterSetter(vr,"verticalAlign",w1e);Zi.Factory.addGetterSetter(vr,"lineHeight",1,(0,Iu.getNumberValidator)());Zi.Factory.addGetterSetter(vr,"wrap",T1e);Zi.Factory.addGetterSetter(vr,"ellipsis",!1,(0,Iu.getBooleanValidator)());Zi.Factory.addGetterSetter(vr,"letterSpacing",0,(0,Iu.getNumberValidator)());Zi.Factory.addGetterSetter(vr,"text","",(0,Iu.getStringValidator)());Zi.Factory.addGetterSetter(vr,"textDecoration","");var nS={};Object.defineProperty(nS,"__esModule",{value:!0});nS.TextPath=void 0;const Ew=ir,Bs=xt,M1e=zr,Bh=ch,Tw=Ic,gz=He,N1e=Et;var D1e="",mz="normal";function yz(e){e.fillText(this.partialText,0,0)}function vz(e){e.strokeText(this.partialText,0,0)}class Ur extends M1e.Shape{constructor(t){super(t),this.dummyCanvas=Ew.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Bh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Bh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Bh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return Ew.Util.warn("text.getTextHeight() method is deprecated. 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"&&i==="justify"){const v=this.text().split(" ").length-1;f+=(this.pathLength-s)/v}const h=this._getPointAtLength(u+f);if(!h)return;const p=Bh.Path.getLineLength(d.x,d.y,h.x,h.y);let m=0;if(o)try{m=o(l[c-1],l[c])*this.fontSize()}catch{m=0}d.x+=m,h.x+=m,this.textWidth+=m;const b=Bh.Path.getPointOnLine(m+p/2,d.x,d.y,h.x,h.y),_=Math.atan2(h.y-d.y,h.x-d.x);this.glyphInfo.push({transposeX:b.x,transposeY:b.y,text:l[c],rotation:_,p0:d,p1:h}),u+=f}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(c){t.push(c.p0.x),t.push(c.p0.y),t.push(c.p1.x),t.push(c.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return Ew.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}nS.TextPath=Ur;Ur.prototype._fillFunc=yz;Ur.prototype._strokeFunc=vz;Ur.prototype._fillFuncHit=yz;Ur.prototype._strokeFuncHit=vz;Ur.prototype.className="TextPath";Ur.prototype._attrsAffectingSize=["text","fontSize","data"];(0,N1e._registerNode)(Ur);Bs.Factory.addGetterSetter(Ur,"data");Bs.Factory.addGetterSetter(Ur,"fontFamily","Arial");Bs.Factory.addGetterSetter(Ur,"fontSize",12,(0,gz.getNumberValidator)());Bs.Factory.addGetterSetter(Ur,"fontStyle",mz);Bs.Factory.addGetterSetter(Ur,"align","left");Bs.Factory.addGetterSetter(Ur,"letterSpacing",0,(0,gz.getNumberValidator)());Bs.Factory.addGetterSetter(Ur,"textBaseline","middle");Bs.Factory.addGetterSetter(Ur,"fontVariant",mz);Bs.Factory.addGetterSetter(Ur,"text",D1e);Bs.Factory.addGetterSetter(Ur,"textDecoration",null);Bs.Factory.addGetterSetter(Ur,"kerningFunc",null);var rS={};Object.defineProperty(rS,"__esModule",{value:!0});rS.Transformer=void 0;const hn=ir,ln=xt,Y8=Kn,L1e=zr,$1e=Um,Z8=lh,ms=Et,Mu=He,F1e=Et;var _z="tr-konva",B1e=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${_z}`).join(" "),J8="nodesRect",z1e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],U1e={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const j1e="ontouchstart"in ms.Konva._global;function V1e(e,t){if(e==="rotater")return"crosshair";t+=hn.Util.degToRad(U1e[e]||0);var n=(hn.Util.radToDeg(t)%360+360)%360;return hn.Util._inRange(n,315+22.5,360)||hn.Util._inRange(n,0,22.5)?"ns-resize":hn.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":hn.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":hn.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":hn.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":hn.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":hn.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":hn.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(hn.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var C1=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],eR=1e8;function G1e(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function bz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function H1e(e,t){const n=G1e(e);return bz(e,t,n)}function q1e(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=ms.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Vt extends Z8.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(B1e,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return hn.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return _z+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(hn.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(z1e.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(J8),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(J8,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(ms.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return bz(c,-ms.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-eR,y:-eR,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new hn.Transform;r.rotate(-ms.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:ms.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),C1.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new $1e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:j1e?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=ms.Konva.getAngle(this.rotation()),o=V1e(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new L1e.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*hn.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let N=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(N-=Math.PI);var f=ms.Konva.getAngle(this.rotation());const C=f+N,P=ms.Konva.getAngle(this.rotationSnapTolerance()),B=q1e(this.rotationSnaps(),C,P)-d.rotation,R=H1e(d,B);this._fitNodesInto(R,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-right").x()<m.x?-1:1,_=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var v=o.position();this.findOne(".top-left").y(v.y),this.findOne(".bottom-right").x(v.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var b=m.x<o.x()?-1:1,_=o.y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,o.x(m.x-n),o.y(m.y+r)}v=o.position(),this.findOne(".top-left").x(v.x),this.findOne(".bottom-right").y(v.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var b=this.findOne(".bottom-right").x()<m.x?-1:1,_=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var y=this.findOne(".top-left"),S=this.findOne(".bottom-right"),w=y.x(),x=y.y(),E=this.getWidth()-S.x(),A=this.getHeight()-S.y();S.move({x:-w,y:-x}),y.move({x:E,y:A})}var T=this.findOne(".top-left").getAbsolutePosition();n=T.x,r=T.y;var k=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),L=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:k,height:L,rotation:ms.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(hn.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(hn.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new hn.Transform;if(s.rotate(ms.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:hn.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new hn.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new hn.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new hn.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(hn.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(hn.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*hn.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),Z8.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return Y8.Node.prototype.toObject.call(this)}clone(t){var n=Y8.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}rS.Transformer=Vt;function W1e(e){return e instanceof Array||hn.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){C1.indexOf(t)===-1&&hn.Util.warn("Unknown anchor name: "+t+". Available names are: "+C1.join(", "))}),e||[]}Vt.prototype.className="Transformer";(0,F1e._registerNode)(Vt);ln.Factory.addGetterSetter(Vt,"enabledAnchors",C1,W1e);ln.Factory.addGetterSetter(Vt,"flipEnabled",!0,(0,Mu.getBooleanValidator)());ln.Factory.addGetterSetter(Vt,"resizeEnabled",!0);ln.Factory.addGetterSetter(Vt,"anchorSize",10,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"rotateEnabled",!0);ln.Factory.addGetterSetter(Vt,"rotationSnaps",[]);ln.Factory.addGetterSetter(Vt,"rotateAnchorOffset",50,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"rotationSnapTolerance",5,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderEnabled",!0);ln.Factory.addGetterSetter(Vt,"anchorStroke","rgb(0, 161, 255)");ln.Factory.addGetterSetter(Vt,"anchorStrokeWidth",1,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"anchorFill","white");ln.Factory.addGetterSetter(Vt,"anchorCornerRadius",0,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderStroke","rgb(0, 161, 255)");ln.Factory.addGetterSetter(Vt,"borderStrokeWidth",1,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderDash");ln.Factory.addGetterSetter(Vt,"keepRatio",!0);ln.Factory.addGetterSetter(Vt,"shiftBehavior","default");ln.Factory.addGetterSetter(Vt,"centeredScaling",!1);ln.Factory.addGetterSetter(Vt,"ignoreStroke",!1);ln.Factory.addGetterSetter(Vt,"padding",0,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"node");ln.Factory.addGetterSetter(Vt,"nodes");ln.Factory.addGetterSetter(Vt,"boundBoxFunc");ln.Factory.addGetterSetter(Vt,"anchorDragBoundFunc");ln.Factory.addGetterSetter(Vt,"anchorStyleFunc");ln.Factory.addGetterSetter(Vt,"shouldOverdrawWholeArea",!1);ln.Factory.addGetterSetter(Vt,"useSingleNodeRotation",!0);ln.Factory.backCompat(Vt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var iS={};Object.defineProperty(iS,"__esModule",{value:!0});iS.Wedge=void 0;const oS=xt,K1e=zr,X1e=Et,Sz=He,Q1e=Et;class gl extends K1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,X1e.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}iS.Wedge=gl;gl.prototype.className="Wedge";gl.prototype._centroid=!0;gl.prototype._attrsAffectingSize=["radius"];(0,Q1e._registerNode)(gl);oS.Factory.addGetterSetter(gl,"radius",0,(0,Sz.getNumberValidator)());oS.Factory.addGetterSetter(gl,"angle",0,(0,Sz.getNumberValidator)());oS.Factory.addGetterSetter(gl,"clockwise",!1);oS.Factory.backCompat(gl,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var sS={};Object.defineProperty(sS,"__esModule",{value:!0});sS.Blur=void 0;const tR=xt,Y1e=Kn,Z1e=He;function nR(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var J1e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],e_e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function t_e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,v,g,y,S,w,x,E,A,T,k,L,N=t+t+1,C=r-1,P=i-1,D=t+1,B=D*(D+1)/2,R=new nR,O=null,I=R,F=null,U=null,V=J1e[t],H=e_e[t];for(a=1;a<N;a++)I=I.next=new nR,a===D&&(O=I);for(I.next=R,d=c=0,s=0;s<i;s++){for(y=S=w=x=f=h=p=m=0,b=D*(E=n[c]),_=D*(A=n[c+1]),v=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*E,h+=B*A,p+=B*T,m+=B*k,I=R,a=0;a<D;a++)I.r=E,I.g=A,I.b=T,I.a=k,I=I.next;for(a=1;a<D;a++)l=c+((C<a?C:a)<<2),f+=(I.r=E=n[l])*(L=D-a),h+=(I.g=A=n[l+1])*L,p+=(I.b=T=n[l+2])*L,m+=(I.a=k=n[l+3])*L,y+=E,S+=A,w+=T,x+=k,I=I.next;for(F=R,U=O,o=0;o<r;o++)n[c+3]=k=m*V>>H,k!==0?(k=255/k,n[c]=(f*V>>H)*k,n[c+1]=(h*V>>H)*k,n[c+2]=(p*V>>H)*k):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=v,m-=g,b-=F.r,_-=F.g,v-=F.b,g-=F.a,l=d+((l=o+t+1)<C?l:C)<<2,y+=F.r=n[l],S+=F.g=n[l+1],w+=F.b=n[l+2],x+=F.a=n[l+3],f+=y,h+=S,p+=w,m+=x,F=F.next,b+=E=U.r,_+=A=U.g,v+=T=U.b,g+=k=U.a,y-=E,S-=A,w-=T,x-=k,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(S=w=x=y=h=p=m=f=0,c=o<<2,b=D*(E=n[c]),_=D*(A=n[c+1]),v=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*E,h+=B*A,p+=B*T,m+=B*k,I=R,a=0;a<D;a++)I.r=E,I.g=A,I.b=T,I.a=k,I=I.next;for(u=r,a=1;a<=t;a++)c=u+o<<2,f+=(I.r=E=n[c])*(L=D-a),h+=(I.g=A=n[c+1])*L,p+=(I.b=T=n[c+2])*L,m+=(I.a=k=n[c+3])*L,y+=E,S+=A,w+=T,x+=k,I=I.next,a<P&&(u+=r);for(c=o,F=R,U=O,s=0;s<i;s++)l=c<<2,n[l+3]=k=m*V>>H,k>0?(k=255/k,n[l]=(f*V>>H)*k,n[l+1]=(h*V>>H)*k,n[l+2]=(p*V>>H)*k):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=v,m-=g,b-=F.r,_-=F.g,v-=F.b,g-=F.a,l=o+((l=s+D)<P?l:P)*r<<2,f+=y+=F.r=n[l],h+=S+=F.g=n[l+1],p+=w+=F.b=n[l+2],m+=x+=F.a=n[l+3],F=F.next,b+=E=U.r,_+=A=U.g,v+=T=U.b,g+=k=U.a,y-=E,S-=A,w-=T,x-=k,U=U.next,c+=r}}const n_e=function(t){var n=Math.round(this.blurRadius());n>0&&t_e(t,n)};sS.Blur=n_e;tR.Factory.addGetterSetter(Y1e.Node,"blurRadius",0,(0,Z1e.getNumberValidator)(),tR.Factory.afterSetFilter);var aS={};Object.defineProperty(aS,"__esModule",{value:!0});aS.Brighten=void 0;const rR=xt,r_e=Kn,i_e=He,o_e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};aS.Brighten=o_e;rR.Factory.addGetterSetter(r_e.Node,"brightness",0,(0,i_e.getNumberValidator)(),rR.Factory.afterSetFilter);var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.Contrast=void 0;const iR=xt,s_e=Kn,a_e=He,l_e=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};lS.Contrast=l_e;iR.Factory.addGetterSetter(s_e.Node,"contrast",0,(0,a_e.getNumberValidator)(),iR.Factory.afterSetFilter);var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.Emboss=void 0;const yu=xt,cS=Kn,u_e=ir,wz=He,c_e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:u_e.Util.error("Unknown emboss direction: "+r)}do{var f=(d-1)*c,h=o;d+h<1&&(h=0),d+h>u&&(h=0);var p=(d-1+h)*l*4,m=l;do{var b=f+(m-1)*4,_=s;m+_<1&&(_=0),m+_>l&&(_=0);var v=p+(m-1+_)*4,g=a[b]-a[v],y=a[b+1]-a[v+1],S=a[b+2]-a[v+2],w=g,x=w>0?w:-w,E=y>0?y:-y,A=S>0?S:-S;if(E>x&&(w=y),A>x&&(w=S),w*=t,i){var T=a[b]+w,k=a[b+1]+w,L=a[b+2]+w;a[b]=T>255?255:T<0?0:T,a[b+1]=k>255?255:k<0?0:k,a[b+2]=L>255?255:L<0?0:L}else{var N=n-w;N<0?N=0:N>255&&(N=255),a[b]=a[b+1]=a[b+2]=N}}while(--m)}while(--d)};uS.Emboss=c_e;yu.Factory.addGetterSetter(cS.Node,"embossStrength",.5,(0,wz.getNumberValidator)(),yu.Factory.afterSetFilter);yu.Factory.addGetterSetter(cS.Node,"embossWhiteLevel",.5,(0,wz.getNumberValidator)(),yu.Factory.afterSetFilter);yu.Factory.addGetterSetter(cS.Node,"embossDirection","top-left",null,yu.Factory.afterSetFilter);yu.Factory.addGetterSetter(cS.Node,"embossBlend",!1,null,yu.Factory.afterSetFilter);var dS={};Object.defineProperty(dS,"__esModule",{value:!0});dS.Enhance=void 0;const oR=xt,d_e=Kn,f_e=He;function Aw(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const h_e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<s?s=l:l>a&&(a=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,v,g,y,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),v=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,v=a+h*(a-_),g=s+h*(s-_),y=(c+u)*.5,S=c+h*(c-y),w=u+h*(u-y)),f=0;f<n;f+=4)t[f+0]=Aw(t[f+0],r,i,b,m),t[f+1]=Aw(t[f+1],s,a,g,v),t[f+2]=Aw(t[f+2],u,c,w,S)}};dS.Enhance=h_e;oR.Factory.addGetterSetter(d_e.Node,"enhance",0,(0,f_e.getNumberValidator)(),oR.Factory.afterSetFilter);var fS={};Object.defineProperty(fS,"__esModule",{value:!0});fS.Grayscale=void 0;const p_e=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};fS.Grayscale=p_e;var hS={};Object.defineProperty(hS,"__esModule",{value:!0});hS.HSL=void 0;const jf=xt,TT=Kn,AT=He;jf.Factory.addGetterSetter(TT.Node,"hue",0,(0,AT.getNumberValidator)(),jf.Factory.afterSetFilter);jf.Factory.addGetterSetter(TT.Node,"saturation",0,(0,AT.getNumberValidator)(),jf.Factory.afterSetFilter);jf.Factory.addGetterSetter(TT.Node,"luminance",0,(0,AT.getNumberValidator)(),jf.Factory.afterSetFilter);const g_e=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),c=.299*r+.701*l+.167*u,d=.587*r-.587*l+.33*u,f=.114*r-.114*l-.497*u,h=.299*r-.299*l-.328*u,p=.587*r+.413*l+.035*u,m=.114*r-.114*l+.293*u,b=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,v=.114*r+.886*l-.2*u,g,y,S,w;for(a=0;a<n;a+=4)g=t[a+0],y=t[a+1],S=t[a+2],w=t[a+3],t[a+0]=c*g+d*y+f*S+s,t[a+1]=h*g+p*y+m*S+s,t[a+2]=b*g+_*y+v*S+s,t[a+3]=w};hS.HSL=g_e;var pS={};Object.defineProperty(pS,"__esModule",{value:!0});pS.HSV=void 0;const Vf=xt,kT=Kn,PT=He,m_e=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,c=.587*r-.587*a+.33*l,d=.114*r-.114*a-.497*l,f=.299*r-.299*a-.328*l,h=.587*r+.413*a+.035*l,p=.114*r-.114*a+.293*l,m=.299*r-.3*a+1.25*l,b=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,v,g,y,S;for(s=0;s<n;s+=4)v=t[s+0],g=t[s+1],y=t[s+2],S=t[s+3],t[s+0]=u*v+c*g+d*y,t[s+1]=f*v+h*g+p*y,t[s+2]=m*v+b*g+_*y,t[s+3]=S};pS.HSV=m_e;Vf.Factory.addGetterSetter(kT.Node,"hue",0,(0,PT.getNumberValidator)(),Vf.Factory.afterSetFilter);Vf.Factory.addGetterSetter(kT.Node,"saturation",0,(0,PT.getNumberValidator)(),Vf.Factory.afterSetFilter);Vf.Factory.addGetterSetter(kT.Node,"value",0,(0,PT.getNumberValidator)(),Vf.Factory.afterSetFilter);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Invert=void 0;const y_e=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};gS.Invert=y_e;var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Kaleidoscope=void 0;const E1=xt,xz=Kn,sR=ir,Cz=He;var v_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f=0,h=0,p=0,m=0,b,_=Math.sqrt(a*a+l*l);c=o-a,d=s-l,b=Math.sqrt(c*c+d*d),_=b>_?b:_;var v=s,g=o,y,S,w=360/g*Math.PI/180,x,E;for(S=0;S<g;S+=1)for(x=Math.sin(S*w),E=Math.cos(S*w),y=0;y<v;y+=1)c=Math.floor(a+_*y/v*E),d=Math.floor(l+_*y/v*x),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(S+y*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},__e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f,h,p=0,m=0,b=0,_=0,v,g=Math.sqrt(a*a+l*l);c=o-a,d=s-l,v=Math.sqrt(c*c+d*d),g=v>g?v:g;var y=s,S=o,w,x,E=n.polarRotation||0,A,T;for(c=0;c<o;c+=1)for(d=0;d<s;d+=1)f=c-a,h=d-l,w=Math.sqrt(f*f+h*h)*y/g,x=(Math.atan2(h,f)*180/Math.PI+360+E)%360,x=x*S/360,A=Math.floor(x),T=Math.floor(w),u=(T*o+A)*4,p=r[u+0],m=r[u+1],b=r[u+2],_=r[u+3],u=(d*o+c)*4,i[u+0]=p,i[u+1]=m,i[u+2]=b,i[u+3]=_};const b_e=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,c,d,f,h=Math.round(this.kaleidoscopePower()),p=Math.round(this.kaleidoscopeAngle()),m=Math.floor(t*(p%360)/360);if(!(h<1)){var b=sR.Util.createCanvasElement();b.width=t,b.height=n;var _=b.getContext("2d").getImageData(0,0,t,n);sR.Util.releaseCanvas(b),v_e(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var v=t/Math.pow(2,h);v<=8;)v=v*2,h-=1;v=Math.ceil(v);var g=v,y=0,S=g,w=1;for(m+v>t&&(y=g,S=0,w=-1),i=0;i<n;i+=1)for(r=y;r!==S;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+r)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(v),s=0;s<h;s+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+g*2-r-1)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;g*=2}__e(_,e,{polarRotation:0})}};mS.Kaleidoscope=b_e;E1.Factory.addGetterSetter(xz.Node,"kaleidoscopePower",2,(0,Cz.getNumberValidator)(),E1.Factory.afterSetFilter);E1.Factory.addGetterSetter(xz.Node,"kaleidoscopeAngle",0,(0,Cz.getNumberValidator)(),E1.Factory.afterSetFilter);var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Mask=void 0;const aR=xt,S_e=Kn,w_e=He;function Yy(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function zh(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function x_e(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function C_e(e,t){var n=Yy(e,0,0),r=Yy(e,e.width-1,0),i=Yy(e,0,e.height-1),o=Yy(e,e.width-1,e.height-1),s=t||10;if(zh(n,r)<s&&zh(r,o)<s&&zh(o,i)<s&&zh(i,n)<s){for(var a=x_e([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var c=zh(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=c<s?0:255}return l}}function E_e(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function T_e(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c===255*8?255:0}return s}function A_e(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c>=255*4?255:0}return s}function k_e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c}return s}const P_e=function(e){var t=this.threshold(),n=C_e(e,t);return n&&(n=T_e(n,e.width,e.height),n=A_e(n,e.width,e.height),n=k_e(n,e.width,e.height),E_e(e,n)),e};yS.Mask=P_e;aR.Factory.addGetterSetter(S_e.Node,"threshold",0,(0,w_e.getNumberValidator)(),aR.Factory.afterSetFilter);var vS={};Object.defineProperty(vS,"__esModule",{value:!0});vS.Noise=void 0;const lR=xt,R_e=Kn,O_e=He,I_e=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};vS.Noise=I_e;lR.Factory.addGetterSetter(R_e.Node,"noise",.2,(0,O_e.getNumberValidator)(),lR.Factory.afterSetFilter);var _S={};Object.defineProperty(_S,"__esModule",{value:!0});_S.Pixelate=void 0;const uR=xt,M_e=ir,N_e=Kn,D_e=He,L_e=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,b,_,v,g,y=e.data;if(t<=0){M_e.Util.error("pixelSize value can not be <= 0");return}for(_=0;_<d;_+=1)for(v=0;v<f;v+=1){for(a=0,l=0,u=0,c=0,h=_*t,p=h+t,m=v*t,b=m+t,g=0,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<b;o+=1)o>=r||(s=(n*o+i)*4,a+=y[s+0],l+=y[s+1],u+=y[s+2],c+=y[s+3],g+=1);for(a=a/g,l=l/g,u=u/g,c=c/g,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<b;o+=1)o>=r||(s=(n*o+i)*4,y[s+0]=a,y[s+1]=l,y[s+2]=u,y[s+3]=c)}};_S.Pixelate=L_e;uR.Factory.addGetterSetter(N_e.Node,"pixelSize",8,(0,D_e.getNumberValidator)(),uR.Factory.afterSetFilter);var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.Posterize=void 0;const cR=xt,$_e=Kn,F_e=He,B_e=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o<r;o+=1)n[o]=Math.floor(n[o]/i)*i};bS.Posterize=B_e;cR.Factory.addGetterSetter($_e.Node,"levels",.5,(0,F_e.getNumberValidator)(),cR.Factory.afterSetFilter);var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.RGB=void 0;const T1=xt,RT=Kn,z_e=He,U_e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};SS.RGB=U_e;T1.Factory.addGetterSetter(RT.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});T1.Factory.addGetterSetter(RT.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});T1.Factory.addGetterSetter(RT.Node,"blue",0,z_e.RGBComponent,T1.Factory.afterSetFilter);var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.RGBA=void 0;const zg=xt,xS=Kn,j_e=He,V_e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};wS.RGBA=V_e;zg.Factory.addGetterSetter(xS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});zg.Factory.addGetterSetter(xS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});zg.Factory.addGetterSetter(xS.Node,"blue",0,j_e.RGBComponent,zg.Factory.afterSetFilter);zg.Factory.addGetterSetter(xS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.Sepia=void 0;const G_e=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};CS.Sepia=G_e;var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Solarize=void 0;const H_e=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};ES.Solarize=H_e;var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Threshold=void 0;const dR=xt,q_e=Kn,W_e=He,K_e=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};TS.Threshold=K_e;dR.Factory.addGetterSetter(q_e.Node,"threshold",.5,(0,W_e.getNumberValidator)(),dR.Factory.afterSetFilter);Object.defineProperty(Db,"__esModule",{value:!0});Db.Konva=void 0;const fR=GB,X_e=Ub,Q_e=Gb,Y_e=Wb,Z_e=Kb,J_e=Xb,hR=Uf,ebe=Bm,tbe=ch,nbe=Um,rbe=Zb,ibe=Jb,obe=eS,sbe=tS,abe=Ic,lbe=nS,ube=rS,cbe=iS,dbe=sS,fbe=aS,hbe=lS,pbe=uS,gbe=dS,mbe=fS,ybe=hS,vbe=pS,_be=gS,bbe=mS,Sbe=yS,wbe=vS,xbe=_S,Cbe=bS,Ebe=SS,Tbe=wS,Abe=CS,kbe=ES,Pbe=TS;Db.Konva=fR.Konva.Util._assign(fR.Konva,{Arc:X_e.Arc,Arrow:Q_e.Arrow,Circle:Y_e.Circle,Ellipse:Z_e.Ellipse,Image:J_e.Image,Label:hR.Label,Tag:hR.Tag,Line:ebe.Line,Path:tbe.Path,Rect:nbe.Rect,RegularPolygon:rbe.RegularPolygon,Ring:ibe.Ring,Sprite:obe.Sprite,Star:sbe.Star,Text:abe.Text,TextPath:lbe.TextPath,Transformer:ube.Transformer,Wedge:cbe.Wedge,Filters:{Blur:dbe.Blur,Brighten:fbe.Brighten,Contrast:hbe.Contrast,Emboss:pbe.Emboss,Enhance:gbe.Enhance,Grayscale:mbe.Grayscale,HSL:ybe.HSL,HSV:vbe.HSV,Invert:_be.Invert,Kaleidoscope:bbe.Kaleidoscope,Mask:Sbe.Mask,Noise:wbe.Noise,Pixelate:xbe.Pixelate,Posterize:Cbe.Posterize,RGB:Ebe.RGB,RGBA:Tbe.RGBA,Sepia:Abe.Sepia,Solarize:kbe.Solarize,Threshold:Pbe.Threshold}});var Rbe=mT.exports;Object.defineProperty(Rbe,"__esModule",{value:!0});const Obe=Db;mT.exports=Obe.Konva;var Ibe=mT.exports;const Uh=Dc(Ibe),Mbe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new Uh.Stage({container:o,width:r,height:i}),a=new Uh.Layer,l=new Uh.Layer;return a.add(new Uh.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new Uh.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},Nbe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),pR=async(e,t)=>{const n=e.toDataURL(t);return await Nbe(n,t.width,t.height)},OT=async(e,t,n,r,i)=>{const o=pe("canvas"),s=Mb(),a=k0e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const c=u.getAbsolutePosition(),d={x:l.x+c.x,y:l.y+c.y,width:l.width,height:l.height},f=await w1(u,d),h=await pR(u,d),p=await Mbe(r?e.objects.filter(lD):[],l,i),m=await w1(p,l),b=await pR(p,l);return{baseBlob:f,baseImageData:h,maskBlob:m,maskImageData:b}},Dbe=()=>{xe({actionCreator:S0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await OT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Fn({title:"Problem Saving Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery;t(he.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Saved to Assets"}}}))}})},Lbe=()=>{xe({actionCreator:T0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await OT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Fn({title:"Problem Importing Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery,l=await t(he.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Sent to ControlNet & Assets"}}})).unwrap(),{image_name:u}=l;t(jc({controlNetId:e.payload.controlNet.controlNetId,controlImage:u}))}})},$be=async()=>{const e=Mb();if(!e)return;const t=e.clone();return t.scale({x:1,y:1}),w1(t,t.getClientRect())},Fbe=()=>{xe({actionCreator:C0e,effect:async(e,{dispatch:t})=>{const n=tb.get().child({namespace:"canvasCopiedToClipboardListener"}),r=await $be();if(!r){n.error("Problem getting base layer blob"),t(Fn({title:"Problem Merging Canvas",description:"Unable to export base layer",status:"error"}));return}const i=Mb();if(!i){n.error("Problem getting canvas base layer"),t(Fn({title:"Problem Merging Canvas",description:"Unable to export base layer",status:"error"}));return}const o=i.getClientRect({relativeTo:i.getParent()}),s=await t(he.endpoints.uploadImage.initiate({file:new File([r],"mergedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Canvas Merged"}}})).unwrap(),{image_name:a}=s;t(Lne({kind:"image",layer:"base",imageName:a,...o}))}})},Bbe=()=>{xe({actionCreator:b0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await Nb(i);if(!o){r.error("Problem getting base layer blob"),t(Fn({title:"Problem Saving Canvas",description:"Unable to export base layer",status:"error"}));return}const{autoAddBoardId:s}=i.gallery;t(he.endpoints.uploadImage.initiate({file:new File([o],"savedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!1,board_id:s==="none"?void 0:s,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Canvas Saved to Gallery"}}}))}})},zbe=(e,t,n)=>{var d;if(!(Vce.match(e)||SP.match(e)||jc.match(e)||Gce.match(e)||wP.match(e))||wP.match(e)&&((d=n.controlNet.controlNets[e.payload.controlNetId])==null?void 0:d.shouldAutoConfig)===!0)return!1;const i=t.controlNet.controlNets[e.payload.controlNetId];if(!i)return!1;const{controlImage:o,processorType:s,shouldAutoConfig:a}=i;if(SP.match(e)&&!a)return!1;const l=s!=="none",u=t.system.isProcessing;return l&&!u&&!!o},Ube=()=>{xe({predicate:zbe,effect:async(e,{dispatch:t,cancelActiveListeners:n,delay:r})=>{const i=pe("session"),{controlNetId:o}=e.payload;n(),i.trace("ControlNet auto-process triggered"),await r(300),t(HE({controlNetId:o}))}})},Yc=Me("system/sessionReadyToInvoke"),Ez=e=>(e==null?void 0:e.type)==="image_output",jbe=()=>{xe({actionCreator:HE,effect:async(e,{dispatch:t,getState:n,take:r})=>{const i=pe("session"),{controlNetId:o}=e.payload,s=n().controlNet.controlNets[o];if(!(s!=null&&s.controlImage)){i.error("Unable to process ControlNet image");return}const a={nodes:{[s.processorNode.id]:{...s.processorNode,is_intermediate:!0,image:{image_name:s.controlImage}}}},l=t(Si({graph:a})),[u]=await r(f=>Si.fulfilled.match(f)&&f.meta.requestId===l.requestId),c=u.payload.id;t(Yc());const[d]=await r(f=>jE.match(f)&&f.payload.data.graph_execution_state_id===c);if(Ez(d.payload.data.result)){const{image_name:f}=d.payload.data.result.image,[{payload:h}]=await r(m=>he.endpoints.getImageDTO.matchFulfilled(m)&&m.payload.image_name===f),p=h;i.debug({controlNetId:e.payload,processedControlImage:p},"ControlNet image processed"),t(qE({controlNetId:o,processedControlImage:p.image_name}))}}})},Vbe=()=>{xe({matcher:he.endpoints.addImageToBoard.matchFulfilled,effect:e=>{const t=pe("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Image added to board")}})},Gbe=()=>{xe({matcher:he.endpoints.addImageToBoard.matchRejected,effect:e=>{const t=pe("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Problem adding image to 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c=n==AS;(t.id===Oz||t.id===s3||t.id===NT||t.id===A1)&&t.edges.push({source:{node_id:l?n:Vs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:qe,field:"vae"}}),(t.id===Iz||t.id===a3||t.id===RS||t.id==jg)&&t.edges.push({source:{node_id:l?n:Vs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:a?qe:me,field:"vae"}}),(t.id===s3||t.id===A1||t.id===a3||t.id===jg)&&t.edges.push({source:{node_id:l?n:Vs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Dn,field:"vae"}}),(t.id===kS||t.id===PS||t.id===Mc||t.id===Nc)&&(t.edges.push({source:{node_id:l?n:Vs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Bn,field:"vae"}},{source:{node_id:l?n:Vs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Ln,field:"vae"}},{source:{node_id:l?n:Vs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:qe,field:"vae"}}),i!=="unmasked"&&t.edges.push({source:{node_id:l?n:Vs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Nt,field:"vae"}})),s&&(t.id===Mc||t.id===Nc)&&t.edges.push({source:{node_id:l?n:Vs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:$a,field:"vae"}}),r&&u&&(u.vae=r)},ds=(e,t,n=qe)=>{const i=DT(e)==="unifiedCanvas"?!e.canvas.shouldAutoSave:!1,o=t.nodes[n],s=t.nodes[Ud],a=t.nodes[At];if(!o)return;const l={id:jh,type:"img_watermark",is_intermediate:i};t.nodes[jh]=l,o.is_intermediate=!0,s?(s.is_intermediate=!0,t.edges.push({source:{node_id:Ud,field:"image"},destination:{node_id:jh,field:"image"}})):t.edges.push({source:{node_id:n,field:"image"},destination:{node_id:jh,field:"image"}}),a&&t.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:jh,field:"metadata"}})},K2e=(e,t)=>{const n=pe("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,img2imgStrength:u,vaePrecision:c,clipSkip:d,shouldUseCpuNoise:f,shouldUseNoiseSettings:h,seamlessXAxis:p,seamlessYAxis:m}=e.generation,{width:b,height:_}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:v,boundingBoxScaleMethod:g,shouldAutoSave:y}=e.canvas,S=c==="fp32",w=["auto","manual"].includes(g);if(!o)throw n.error("No model found in state"),new Error("No model found in 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w?(A.nodes[ff]={id:ff,type:"img_resize",is_intermediate:!0,image:t,width:v.width,height:v.height},A.nodes[qe]={id:qe,type:"l2i",is_intermediate:!0,fp32:S},A.nodes[me]={id:me,type:"img_resize",is_intermediate:!y,width:b,height:_},A.edges.push({source:{node_id:ff,field:"image"},destination:{node_id:Dn,field:"image"}},{source:{node_id:Fe,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(A.nodes[me]={type:"l2i",id:me,is_intermediate:!y,fp32:S},A.nodes[Dn].image=t,A.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:me,field:"latents"}})),A.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:w?v.width:b,height:w?v.height:_,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:E?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:d,strength:u,init_image:t.image_name},A.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(p||m)&&(us(e,A,x),x=$r),fh(e,A,Fe),cs(e,A,x),Du(e,A),as(e,A,Fe),e.system.shouldUseNSFWChecker&&ls(e,A,me),e.system.shouldUseWatermarker&&ds(e,A,me),A},X2e=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,maskBlurMethod:v,canvasCoherenceMode:g,canvasCoherenceSteps:y,canvasCoherenceStrength:S,clipSkip:w,seamlessXAxis:x,seamlessYAxis:E}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:A,height:T}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:k,boundingBoxScaleMethod:L,shouldAutoSave:N}=e.canvas,C=p==="fp32",P=["auto","manual"].includes(L);let D=Nu;const B=b,R={id:kS,nodes:{[D]:{type:"main_model_loader",id:D,is_intermediate:!0,model:s},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:w},[Be]:{type:"compel",id:Be,is_intermediate:!0,prompt:i},[Ve]:{type:"compel",id:Ve,is_intermediate:!0,prompt:o},[Ri]:{type:"img_blur",id:Ri,is_intermediate:!0,radius:_,blur_type:v},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:C},[we]:{type:"noise",id:we,use_cpu:B,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:C},[Fe]:{type:"denoise_latents",id:Fe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[gn]:{type:"noise",id:we,use_cpu:B,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[mt]:{type:"denoise_latents",id:mt,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-S,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:C},[me]:{type:"color_correct",id:me,is_intermediate:!N,reference:t},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:d,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:D,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:D,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Fe,field:"latents"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Fe,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:D,field:"unet"},destination:{node_id:mt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:mt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:mt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:mt,field:"noise"}},{source:{node_id:Fe,field:"latents"},destination:{node_id:mt,field:"latents"}},{source:{node_id:mt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(P){const O=k.width,I=k.height;R.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:O,height:I,image:t},R.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:O,height:I,image:n},R.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:A,height:T},R.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:A,height:T},R.nodes[we].width=O,R.nodes[we].height=I,R.nodes[gn].width=O,R.nodes[gn].height=I,R.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Ri,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else R.nodes[we].width=A,R.nodes[we].height=T,R.nodes[gn].width=A,R.nodes[gn].height=T,R.nodes[Bn]={...R.nodes[Bn],image:t},R.nodes[Ri]={...R.nodes[Ri],image:n},R.nodes[Ln]={...R.nodes[Ln],image:t},R.edges.push({source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:me,field:"mask"}});if(g!=="unmasked"&&(R.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:C},P?R.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Nt,field:"image"}}):R.nodes[Nt]={...R.nodes[Nt],image:t},g==="mask"&&(P?R.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):R.nodes[Nt]={...R.nodes[Nt],mask:n}),g==="edge"&&(R.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},P?R.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):R.nodes[lr]={...R.nodes[lr],image:n},R.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),R.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:mt,field:"denoise_mask"}})),h){const O={id:Dr,type:"rand_int"};R.nodes[Dr]=O,R.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else R.nodes[Wn].start=f;return(x||E)&&(us(e,R,D),D=$r),cs(e,R,D),fh(e,R,Fe,D),as(e,R,Fe),e.system.shouldUseNSFWChecker&&ls(e,R,me),e.system.shouldUseWatermarker&&ds(e,R,me),R},Q2e=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,canvasCoherenceMode:v,canvasCoherenceSteps:g,canvasCoherenceStrength:y,infillTileSize:S,infillPatchmatchDownscaleSize:w,infillMethod:x,clipSkip:E,seamlessXAxis:A,seamlessYAxis:T}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in 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O=b,I={id:PS,nodes:{[R]:{type:"main_model_loader",id:R,is_intermediate:!0,model:s},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:E},[Be]:{type:"compel",id:Be,is_intermediate:!0,prompt:i},[Ve]:{type:"compel",id:Ve,is_intermediate:!0,prompt:o},[hf]:{type:"tomask",id:hf,is_intermediate:!0,image:t},[mi]:{type:"mask_combine",id:mi,is_intermediate:!0,mask2:n},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:D},[we]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:D},[Fe]:{type:"denoise_latents",id:Fe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[gn]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[mt]:{type:"denoise_latents",id:mt,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-y,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:D},[me]:{type:"color_correct",id:me,is_intermediate:!P},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:d,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:hf,field:"image"},destination:{node_id:mi,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Fe,field:"latents"}},{source:{node_id:B?$n:mi,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Fe,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:mt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:mt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:mt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:mt,field:"noise"}},{source:{node_id:Fe,field:"latents"},destination:{node_id:mt,field:"latents"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:mt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(x==="patchmatch"&&(I.nodes[Bt]={type:"infill_patchmatch",id:Bt,is_intermediate:!0,downscale:w}),x==="lama"&&(I.nodes[Bt]={type:"infill_lama",id:Bt,is_intermediate:!0}),x==="cv2"&&(I.nodes[Bt]={type:"infill_cv2",id:Bt,is_intermediate:!0}),x==="tile"&&(I.nodes[Bt]={type:"infill_tile",id:Bt,is_intermediate:!0,tile_size:S}),B){const F=N.width,U=N.height;I.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:F,height:U,image:t},I.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:F,height:U},I.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:k,height:L},I.nodes[Vl]={type:"img_resize",id:Vl,is_intermediate:!0,width:k,height:L},I.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},I.nodes[we].width=F,I.nodes[we].height=U,I.nodes[gn].width=F,I.nodes[gn].height=U,I.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bt,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Vl,field:"image"}},{source:{node_id:Vl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else I.nodes[Bt]={...I.nodes[Bt],image:t},I.nodes[we].width=k,I.nodes[we].height=L,I.nodes[gn].width=k,I.nodes[gn].height=L,I.nodes[Bn]={...I.nodes[Bn],image:t},I.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:me,field:"mask"}});if(v!=="unmasked"&&(I.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:D},I.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:Nt,field:"image"}}),v==="mask"&&(B?I.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):I.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:Nt,field:"mask"}})),v==="edge"&&(I.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},B?I.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):I.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:lr,field:"image"}}),I.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),I.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:mt,field:"denoise_mask"}})),h){const F={id:Dr,type:"rand_int"};I.nodes[Dr]=F,I.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else I.nodes[Wn].start=f;return(A||T)&&(us(e,I,R),R=$r),cs(e,I,R),fh(e,I,Fe,R),as(e,I,Fe),e.system.shouldUseNSFWChecker&&ls(e,I,me),e.system.shouldUseWatermarker&&ds(e,I,me),I},hh=(e,t,n,r=Oi)=>{const{loras:i}=e.lora,o=k_(i),s=t.nodes[At],a=r;let l=r;[$r,$a].includes(r)&&(l=Oi),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;ns(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${Rz}_${f.replace(".","_")}`,b={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};s&&(s.loras||(s.loras=[]),s.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=b,c===0?(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[Mc,Nc].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:mt,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Be,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Ve,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Be,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Ve,field:"clip2"}})),u=m,c+=1})},Zc=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},ph=(e,t,n,r,i)=>{const{refinerModel:o,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:a,refinerSteps:l,refinerScheduler:u,refinerCFGScale:c,refinerStart:d}=e.sdxl,{seamlessXAxis:f,seamlessYAxis:h,vaePrecision:p}=e.generation,{boundingBoxScaleMethod:m}=e.canvas,b=p==="fp32",_=["auto","manual"].includes(m);if(!o)return;const v=t.nodes[At];v&&(v.refiner_model=o,v.refiner_positive_aesthetic_score=s,v.refiner_negative_aesthetic_score=a,v.refiner_cfg_scale=c,v.refiner_scheduler=u,v.refiner_start=d,v.refiner_steps=l);const g=r||Oi,{craftedPositiveStylePrompt:y,craftedNegativeStylePrompt:S}=Zc(e,!0);t.edges=t.edges.filter(w=>!(w.source.node_id===n&&["latents"].includes(w.source.field))),t.edges=t.edges.filter(w=>!(w.source.node_id===g&&["vae"].includes(w.source.field))),t.nodes[ju]={type:"sdxl_refiner_model_loader",id:ju,model:o},t.nodes[Jy]={type:"sdxl_refiner_compel_prompt",id:Jy,style:y,aesthetic_score:s},t.nodes[e0]={type:"sdxl_refiner_compel_prompt",id:e0,style:S,aesthetic_score:a},t.nodes[Gs]={type:"denoise_latents",id:Gs,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[Es]={id:Es,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:ju,field:"unet"},destination:{node_id:Es,field:"unet"}},{source:{node_id:ju,field:"vae"},destination:{node_id:Es,field:"vae"}},{source:{node_id:Es,field:"unet"},destination:{node_id:Gs,field:"unet"}})):t.edges.push({source:{node_id:ju,field:"unet"},destination:{node_id:Gs,field:"unet"}}),t.edges.push({source:{node_id:ju,field:"clip2"},destination:{node_id:Jy,field:"clip2"}},{source:{node_id:ju,field:"clip2"},destination:{node_id:e0,field:"clip2"}},{source:{node_id:Jy,field:"conditioning"},destination:{node_id:Gs,field:"positive_conditioning"}},{source:{node_id:e0,field:"conditioning"},destination:{node_id:Gs,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:Gs,field:"latents"}}),(t.id===Mc||t.id===Nc)&&(t.nodes[$a]={type:"create_denoise_mask",id:$a,is_intermediate:!0,fp32:b},_?t.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:$a,field:"image"}}):t.nodes[$a]={...t.nodes[$a],image:i},t.edges.push({source:{node_id:_?$n:mi,field:"image"},destination:{node_id:$a,field:"mask"}},{source:{node_id:$a,field:"denoise_mask"},destination:{node_id:Gs,field:"denoise_mask"}})),t.id===RS||t.id===jg?t.edges.push({source:{node_id:Gs,field:"latents"},destination:{node_id:_?qe:me,field:"latents"}}):t.edges.push({source:{node_id:Gs,field:"latents"},destination:{node_id:qe,field:"latents"}})},Y2e=(e,t)=>{const n=pe("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:v}=e.sdxl,{width:g,height:y}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:x}=e.canvas,E=u==="fp32",A=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let T=Oi;const k=f?d:$s.shouldUseCpuNoise,{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:N}=Zc(e,v),C={id:jg,nodes:{[T]:{type:"sdxl_model_loader",id:T,model:o},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:r,style:L},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:i,style:N},[we]:{type:"noise",id:we,is_intermediate:!0,use_cpu:k,width:A?S.width:g,height:A?S.height:y},[Dn]:{type:"i2l",id:Dn,is_intermediate:!0,fp32:E},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Dn,field:"latents"},destination:{node_id:Re,field:"latents"}}]};return A?(C.nodes[ff]={id:ff,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},C.nodes[qe]={id:qe,type:"l2i",is_intermediate:!0,fp32:E},C.nodes[me]={id:me,type:"img_resize",is_intermediate:!x,width:g,height:y},C.edges.push({source:{node_id:ff,field:"image"},destination:{node_id:Dn,field:"image"}},{source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(C.nodes[me]={type:"l2i",id:me,is_intermediate:!x,fp32:E},C.nodes[Dn].image=t,C.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),C.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:A?S.width:g,height:A?S.height:y,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:k?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},C.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(h||p)&&(us(e,C,T),T=$r),m&&(ph(e,C,Re,T),(h||p)&&(T=Es)),cs(e,C,T),hh(e,C,Re,T),Du(e,C),as(e,C,Re),e.system.shouldUseNSFWChecker&&ls(e,C,me),e.system.shouldUseWatermarker&&ds(e,C,me),C},Z2e=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceMode:v,canvasCoherenceSteps:g,canvasCoherenceStrength:y,seamlessXAxis:S,seamlessYAxis:w}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:E,refinerStart:A,shouldConcatSDXLStylePrompt:T}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:k,height:L}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:N,boundingBoxScaleMethod:C,shouldAutoSave:P}=e.canvas,D=h==="fp32",B=["auto","manual"].includes(C);let R=Oi;const O=m,{craftedPositiveStylePrompt:I,craftedNegativeStylePrompt:F}=Zc(e,T),U={id:Mc,nodes:{[R]:{type:"sdxl_model_loader",id:R,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:I},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:F},[Ri]:{type:"img_blur",id:Ri,is_intermediate:!0,radius:b,blur_type:_},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:D},[we]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:D},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:E?Math.min(A,1-x):1-x,denoising_end:E?A:1},[gn]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[mt]:{type:"denoise_latents",id:mt,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-y,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:D},[me]:{type:"color_correct",id:me,is_intermediate:!P,reference:t},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:c,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:R,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:mt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:mt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:mt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:mt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:mt,field:"latents"}},{source:{node_id:mt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(B){const V=N.width,H=N.height;U.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:V,height:H,image:t},U.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:V,height:H,image:n},U.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:k,height:L},U.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},U.nodes[we].width=V,U.nodes[we].height=H,U.nodes[gn].width=V,U.nodes[gn].height=H,U.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Ri,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else U.nodes[we].width=k,U.nodes[we].height=L,U.nodes[gn].width=k,U.nodes[gn].height=L,U.nodes[Bn]={...U.nodes[Bn],image:t},U.nodes[Ri]={...U.nodes[Ri],image:n},U.nodes[Ln]={...U.nodes[Ln],image:t},U.edges.push({source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:me,field:"mask"}});if(v!=="unmasked"&&(U.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:D},B?U.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Nt,field:"image"}}):U.nodes[Nt]={...U.nodes[Nt],image:t},v==="mask"&&(B?U.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):U.nodes[Nt]={...U.nodes[Nt],mask:n}),v==="edge"&&(U.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},B?U.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):U.nodes[lr]={...U.nodes[lr],image:n},U.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),U.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:mt,field:"denoise_mask"}})),f){const V={id:Dr,type:"rand_int"};U.nodes[Dr]=V,U.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else U.nodes[Wn].start=d;return(S||w)&&(us(e,U,R),R=$r),E&&(ph(e,U,mt,R,t),(S||w)&&(R=Es)),cs(e,U,R),hh(e,U,Re,R),as(e,U,Re),e.system.shouldUseNSFWChecker&&ls(e,U,me),e.system.shouldUseWatermarker&&ds(e,U,me),U},J2e=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,canvasCoherenceMode:_,canvasCoherenceSteps:v,canvasCoherenceStrength:g,infillTileSize:y,infillPatchmatchDownscaleSize:S,infillMethod:w,seamlessXAxis:x,seamlessYAxis:E}=e.generation,{sdxlImg2ImgDenoisingStrength:A,shouldUseSDXLRefiner:T,refinerStart:k,shouldConcatSDXLStylePrompt:L}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in 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F=m,{craftedPositiveStylePrompt:U,craftedNegativeStylePrompt:V}=Zc(e,L),H={id:Nc,nodes:{[Oi]:{type:"sdxl_model_loader",id:Oi,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:U},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:V},[hf]:{type:"tomask",id:hf,is_intermediate:!0,image:t},[mi]:{type:"mask_combine",id:mi,is_intermediate:!0,mask2:n},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:R},[we]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:R},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:T?Math.min(k,1-A):1-A,denoising_end:T?k:1},[gn]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[mt]:{type:"denoise_latents",id:mt,is_intermediate:!0,steps:v,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:R},[me]:{type:"color_correct",id:me,is_intermediate:!B},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:c,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:Oi,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:Oi,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Oi,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:Oi,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Oi,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:hf,field:"image"},destination:{node_id:mi,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:O?$n:mi,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:I,field:"unet"},destination:{node_id:mt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:mt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:mt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:mt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:mt,field:"latents"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:mt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(w==="patchmatch"&&(H.nodes[Bt]={type:"infill_patchmatch",id:Bt,is_intermediate:!0,downscale:S}),w==="lama"&&(H.nodes[Bt]={type:"infill_lama",id:Bt,is_intermediate:!0}),w==="cv2"&&(H.nodes[Bt]={type:"infill_cv2",id:Bt,is_intermediate:!0}),w==="tile"&&(H.nodes[Bt]={type:"infill_tile",id:Bt,is_intermediate:!0,tile_size:y}),O){const Y=P.width,Q=P.height;H.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:Y,height:Q,image:t},H.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:Y,height:Q},H.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:N,height:C},H.nodes[Vl]={type:"img_resize",id:Vl,is_intermediate:!0,width:N,height:C},H.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:N,height:C},H.nodes[we].width=Y,H.nodes[we].height=Q,H.nodes[gn].width=Y,H.nodes[gn].height=Q,H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bt,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Vl,field:"image"}},{source:{node_id:Vl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else H.nodes[Bt]={...H.nodes[Bt],image:t},H.nodes[we].width=N,H.nodes[we].height=C,H.nodes[gn].width=N,H.nodes[gn].height=C,H.nodes[Bn]={...H.nodes[Bn],image:t},H.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:me,field:"mask"}});if(_!=="unmasked"&&(H.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:R},H.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:Nt,field:"image"}}),_==="mask"&&(O?H.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):H.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:Nt,field:"mask"}})),_==="edge"&&(H.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},O?H.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):H.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:lr,field:"image"}}),H.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),H.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:mt,field:"denoise_mask"}})),f){const Y={id:Dr,type:"rand_int"};H.nodes[Dr]=Y,H.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else H.nodes[Wn].start=d;return(x||E)&&(us(e,H,I),I=$r),T&&(ph(e,H,mt,I,t),(x||E)&&(I=Es)),cs(e,H,I),hh(e,H,Re,I),as(e,H,Re),e.system.shouldUseNSFWChecker&&ls(e,H,me),e.system.shouldUseWatermarker&&ds(e,H,me),H},ewe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:v}=e.canvas,g=l==="fp32",y=["auto","manual"].includes(_),{shouldUseSDXLRefiner:S,refinerStart:w,shouldConcatSDXLStylePrompt:x}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const E=d?c:$s.shouldUseCpuNoise,A=i.model_type==="onnx";let T=A?AS:Oi;const k=A?"onnx_model_loader":"sdxl_model_loader",L=A?{type:"t2l_onnx",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:S?w:1},{craftedPositiveStylePrompt:N,craftedNegativeStylePrompt:C}=Zc(e,x),P={id:RS,nodes:{[T]:{type:k,id:T,is_intermediate:!0,model:i},[Be]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Be,is_intermediate:!0,prompt:n,style:N},[Ve]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Ve,is_intermediate:!0,prompt:r,style:C},[we]:{type:"noise",id:we,is_intermediate:!0,width:y?b.width:p,height:y?b.height:m,use_cpu:E},[L.id]:L},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}}]};return y?(P.nodes[qe]={id:qe,type:A?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},P.nodes[me]={id:me,type:"img_resize",is_intermediate:!v,width:p,height:m},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(P.nodes[me]={type:A?"l2i_onnx":"l2i",id:me,is_intermediate:!v,fp32:g},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),P.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:y?b.width:p,height:y?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:E?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},P.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(f||h)&&(us(e,P,T),T=$r),S&&(ph(e,P,Re,T),(f||h)&&(T=Es)),hh(e,P,Re,T),cs(e,P,T),Du(e,P),as(e,P,Re),e.system.shouldUseNSFWChecker&&ls(e,P,me),e.system.shouldUseWatermarker&&ds(e,P,me),P},twe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:v}=e.canvas,g=l==="fp32",y=["auto","manual"].includes(_);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const S=d?c:$s.shouldUseCpuNoise,w=i.model_type==="onnx";let x=w?AS:Nu;const E=w?"onnx_model_loader":"main_model_loader",A=w?{type:"t2l_onnx",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},T={id:Iz,nodes:{[x]:{type:E,id:x,is_intermediate:!0,model:i},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:u},[Be]:{type:w?"prompt_onnx":"compel",id:Be,is_intermediate:!0,prompt:n},[Ve]:{type:w?"prompt_onnx":"compel",id:Ve,is_intermediate:!0,prompt:r},[we]:{type:"noise",id:we,is_intermediate:!0,width:y?b.width:p,height:y?b.height:m,use_cpu:S},[A.id]:A},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}}]};return y?(T.nodes[qe]={id:qe,type:w?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},T.nodes[me]={id:me,type:"img_resize",is_intermediate:!v,width:p,height:m},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(T.nodes[me]={type:w?"l2i_onnx":"l2i",id:me,is_intermediate:!v,fp32:g},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:me,field:"latents"}})),T.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:y?b.width:p,height:y?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 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i},rwe=()=>{xe({predicate:e=>Lm.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=pe("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:c}=o.canvas,d=await OT(s,a,l,u,c);if(!d){i.error("Unable to create canvas data");return}const{baseBlob:f,baseImageData:h,maskBlob:p,maskImageData:m}=d,b=q2e(h,m);if(o.system.enableImageDebugging){const x=await wR(f),E=await wR(p);V2e([{base64:E,caption:"mask b64"},{base64:x,caption:"image b64"}])}i.debug(`Generation mode: ${b}`);let _,v;["img2img","inpaint","outpaint"].includes(b)&&(_=await n(he.endpoints.uploadImage.initiate({file:new File([f],"canvasInitImage.png",{type:"image/png"}),image_category:"general",is_intermediate:!0})).unwrap()),["inpaint","outpaint"].includes(b)&&(v=await n(he.endpoints.uploadImage.initiate({file:new File([p],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!0})).unwrap());const 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this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=Wz()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!i0}}class rxe extends zT{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=zwe(Number.MAX_SAFE_INTEGER,this.socket.binaryType),r=t.readable.pipeThrough(n).getReader(),i=Bwe();i.readable.pipeTo(t.writable),this.writer=i.writable.getWriter();const o=()=>{r.read().then(({done:a,value:l})=>{a||(this.onPacket(l),o())}).catch(a=>{})};o();const s={type:"open"};this.query.sid&&(s.data=`{"sid":"${this.query.sid}"}`),this.writer.write(s).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;this.writer.write(r).then(()=>{i&&UT(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const ixe={websocket:nxe,webtransport:rxe,polling:exe},oxe=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,sxe=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function c3(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=oxe.exec(e||""),o={},s=14;for(;s--;)o[sxe[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=axe(o,o.path),o.queryKey=lxe(o,o.query),o}function axe(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function lxe(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Qz=class Td extends kr{constructor(t,n={}){super(),this.binaryType=txe,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=c3(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=c3(n.host).host),OS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=Kwe(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Gz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new ixe[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Td.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Td.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Td.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Td.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),this.resetPingTimeout(),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=Hwe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Td.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Qz.protocol=Gz;function uxe(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=c3(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const cxe=typeof ArrayBuffer=="function",dxe=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,Yz=Object.prototype.toString,fxe=typeof Blob=="function"||typeof Blob<"u"&&Yz.call(Blob)==="[object BlobConstructor]",hxe=typeof File=="function"||typeof File<"u"&&Yz.call(File)==="[object FileConstructor]";function jT(e){return cxe&&(e instanceof ArrayBuffer||dxe(e))||fxe&&e instanceof Blob||hxe&&e instanceof File}function j0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(j0(e[n]))return!0;return!1}if(jT(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return j0(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&j0(e[n]))return!0;return!1}function pxe(e){const t=[],n=e.data,r=e;return r.data=d3(n,t),r.attachments=t.length,{packet:r,buffers:t}}function d3(e,t){if(!e)return e;if(jT(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=d3(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=d3(e[r],t));return n}return e}function gxe(e,t){return e.data=f3(e.data,t),delete e.attachments,e}function f3(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=f3(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=f3(e[n],t));return e}const mxe=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],yxe=5;var It;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(It||(It={}));class vxe{constructor(t){this.replacer=t}encode(t){return(t.type===It.EVENT||t.type===It.ACK)&&j0(t)?this.encodeAsBinary({type:t.type===It.EVENT?It.BINARY_EVENT:It.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===It.BINARY_EVENT||t.type===It.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=pxe(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function $R(e){return Object.prototype.toString.call(e)==="[object Object]"}class VT extends kr{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===It.BINARY_EVENT;r||n.type===It.BINARY_ACK?(n.type=r?It.EVENT:It.ACK,this.reconstructor=new _xe(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(jT(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(It[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===It.BINARY_EVENT||r.type===It.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(VT.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case It.CONNECT:return $R(n);case It.DISCONNECT:return n===void 0;case It.CONNECT_ERROR:return typeof n=="string"||$R(n);case It.EVENT:case It.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&mxe.indexOf(n[0])===-1);case It.ACK:case It.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class _xe{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=gxe(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const bxe=Object.freeze(Object.defineProperty({__proto__:null,Decoder:VT,Encoder:vxe,get PacketType(){return It},protocol:yxe},Symbol.toStringTag,{value:"Module"}));function _s(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const Sxe=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Zz extends kr{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[_s(t,"open",this.onopen.bind(this)),_s(t,"packet",this.onpacket.bind(this)),_s(t,"error",this.onerror.bind(this)),_s(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(Sxe.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:It.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:It.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case It.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case It.EVENT:case It.BINARY_EVENT:this.onevent(t);break;case It.ACK:case It.BINARY_ACK:this.onack(t);break;case It.DISCONNECT:this.ondisconnect();break;case It.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:It.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:It.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return 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0:t()){this.id=T4e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Qu.totalNodes=Qu.resolvedTargetDeltas=Qu.recalculatedProjection=0,this.nodes.forEach(P4e),this.nodes.forEach(N4e),this.nodes.forEach(D4e),this.nodes.forEach(R4e),x4e(Qu)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new S4e)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new S4),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=C4e(s),this.instance=s;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=w4e(f,250),Q0.hasAnimatedSinceResize&&(Q0.hasAnimatedSinceResize=!1,this.nodes.forEach(YO))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||z4e,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),v=!this.targetLayout||!Lj(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(v||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const y={...Sj(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(y.delay=0,y.type=!1),this.startAnimation(y)}else f||YO(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,ll(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(L4e),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(QO);return}this.isUpdating||this.nodes.forEach(I4e),this.isUpdating=!1,this.nodes.forEach(M4e),this.nodes.forEach(A4e),this.nodes.forEach(k4e),this.clearAllSnapshots();const a=performance.now();Pi.delta=_u(0,1e3/60,a-Pi.timestamp),Pi.timestamp=a,Pi.isProcessing=!0,Nw.update.process(Pi),Nw.preRender.process(Pi),Nw.render.process(Pi),Pi.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(O4e),this.sharedNodes.forEach($4e)}scheduleUpdateProjection(){En.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){En.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Er(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Dj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;s&&(a||Xu(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),U4e(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Er();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(Rl(a.x,l.offset.x),Rl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Er();Vo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){Vo(a,s);const{scroll:f}=this.root;f&&(Rl(a.x,-f.offset.x),Rl(a.y,-f.offset.y))}Rl(a.x,c.offset.x),Rl(a.y,c.offset.y)}}return a}applyTransform(s,a=!1){const l=Er();Vo(l,s);for(let u=0;u<this.path.length;u++){const c=this.path[u];!a&&c.options.layoutScroll&&c.scroll&&c!==c.root&&Hd(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),Xu(c.latestValues)&&Hd(l,c.latestValues)}return Xu(this.latestValues)&&Hd(l,this.latestValues),l}removeTransform(s){const a=Er();Vo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Xu(u.latestValues))continue;I3(u.latestValues)&&u.updateSnapshot();const c=Er(),d=u.measurePageBox();Vo(c,d),GO(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return Xu(this.latestValues)&&GO(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Pi.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=Pi.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Er(),this.relativeTargetOrigin=Er(),Tp(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),Vo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Er(),this.targetWithTransforms=Er()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),jTe(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):Vo(this.target,this.layout.layoutBox),Rj(this.target,this.targetDelta)):Vo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Er(),this.relativeTargetOrigin=Er(),Tp(this.relativeTargetOrigin,this.target,h.target),Vo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Qu.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||I3(this.parent.latestValues)||Pj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===Pi.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;Vo(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;YTe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:p}=a;if(!p){this.projectionTransform&&(this.projectionDelta=Gd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Gd(),this.projectionDeltaWithTransform=Gd());const m=this.projectionTransform;Ep(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=WO(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Qu.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=Gd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const f=Er(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,b=this.getStack(),_=!b||b.members.length<=1,v=!!(m&&!_&&this.options.crossfade===!0&&!this.path.some(B4e));this.animationProgress=0;let g;this.mixTargetDelta=y=>{const S=y/1e3;ZO(d.x,s.x,S),ZO(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Tp(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),F4e(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&v4e(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=Er()),Vo(g,this.relativeTarget)),m&&(this.animationValues=c,f4e(c,u,this.latestValues,S,v,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(ll(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=En.update(()=>{Q0.hasAnimatedSinceResize=!0,this.currentAnimation=E4e(0,XO,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(XO),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Fj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Er();const d=No(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=No(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}Vo(a,l),Hd(a,c),Ep(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new _4e),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c<KO.length;c++){const d="rotate"+KO[c];l[d]&&(u[d]=l[d],s.setStaticValue(d,0))}s.render();for(const c in u)s.setStaticValue(c,u[c]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=X0(s.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=X0(s.pointerEvents)||""),this.hasProjected&&!Xu(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=WO(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(a=f.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in I1){if(f[m]===void 0)continue;const{correct:b,applyTo:_}=I1[m],v=u.transform==="none"?f[m]:b(f[m],d);if(_){const g=_.length;for(let y=0;y<g;y++)u[_[y]]=v}else u[m]=v}return this.options.layoutId&&(u.pointerEvents=d===this?X0(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(QO),this.root.sharedNodes.clear()}}}function A4e(e){e.updateLayout()}function k4e(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?Ws(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=No(f);f.min=r[d].min,f.max=f.min+h}):Fj(o,n.layoutBox,r)&&Ws(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=No(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=Gd();Ep(a,r,n.layoutBox);const l=Gd();s?Ep(l,e.applyTransform(i,!0),n.measuredBox):Ep(l,r,n.layoutBox);const u=!Dj(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=Er();Tp(p,n.layoutBox,f.layoutBox);const m=Er();Tp(m,r,h.layoutBox),Lj(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function P4e(e){Qu.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function R4e(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function O4e(e){e.clearSnapshot()}function QO(e){e.clearMeasurements()}function I4e(e){e.isLayoutDirty=!1}function M4e(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function YO(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function N4e(e){e.resolveTargetDelta()}function D4e(e){e.calcProjection()}function L4e(e){e.resetRotation()}function $4e(e){e.removeLeadSnapshot()}function 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k=m.scrollTop+f.y,L=b===xn.Down&&k<=S.y||b===xn.Up&&k>=w.y;if(L&&!f.x){m.scrollTo({top:k,behavior:a});return}L?h.y=m.scrollTop-k:h.y=b===xn.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,mf(H1(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}hV.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=fV,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function yI(e){return!!(e&&"distance"in e)}function vI(e){return!!(e&&"delay"in e)}class P4{constructor(t,n,r){var i;r===void 0&&(r=$ke(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=vh(s),this.documentListeners=new Ap(this.document),this.listeners=new Ap(r),this.windowListeners=new Ap(Ji(s)),this.initialCoordinates=(i=Jg(o))!=null?i:Ls,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(Ho.Resize,this.handleCancel),this.windowListeners.add(Ho.DragStart,mI),this.windowListeners.add(Ho.VisibilityChange,this.handleCancel),this.windowListeners.add(Ho.ContextMenu,mI),this.documentListeners.add(Ho.Keydown,this.handleKeydown),n){if(yI(n))return;if(vI(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(Ho.Click,Fke,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Ho.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=Jg(t))!=null?n:Ls,u=H1(i,l);if(!r&&a){if(vI(a))return Xw(u,a.tolerance)?this.handleCancel():void 0;if(yI(a))return a.tolerance!=null&&Xw(u,a.tolerance)?this.handleCancel():Xw(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===xn.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const zke={move:{name:"pointermove"},end:{name:"pointerup"}};class pV extends P4{constructor(t){const{event:n}=t,r=vh(n.target);super(t,zke,r)}}pV.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const Uke={move:{name:"mousemove"},end:{name:"mouseup"}};var G3;(function(e){e[e.RightClick=2]="RightClick"})(G3||(G3={}));class gV extends P4{constructor(t){super(t,Uke,vh(t.event.target))}}gV.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===G3.RightClick?!1:(r==null||r({event:n}),!0)}}];const Qw={move:{name:"touchmove"},end:{name:"touchend"}};class mV extends P4{constructor(t){super(t,Qw)}static setup(){return window.addEventListener(Qw.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(Qw.move.name,t)};function t(){}}}mV.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var kp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(kp||(kp={}));var W1;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(W1||(W1={}));function jke(e){let{acceleration:t,activator:n=kp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=W1.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=Gke({delta:d,disabled:!o}),[p,m]=ZAe(),b=M.useRef({x:0,y:0}),_=M.useRef({x:0,y:0}),v=M.useMemo(()=>{switch(n){case kp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case kp.DraggableRect:return i}},[n,i,l]),g=M.useRef(null),y=M.useCallback(()=>{const w=g.current;if(!w)return;const x=b.current.x*_.current.x,E=b.current.y*_.current.y;w.scrollBy(x,E)},[]),S=M.useMemo(()=>a===W1.TreeOrder?[...u].reverse():u,[a,u]);M.useEffect(()=>{if(!o||!u.length||!v){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),E=c[x];if(!E)continue;const{direction:A,speed:T}=Ike(w,E,v,t,f);for(const k of["x","y"])h[k][A[k]]||(T[k]=0,A[k]=0);if(T.x>0||T.y>0){m(),g.current=w,p(y,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,y,r,m,o,s,JSON.stringify(v),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const Vke={x:{[Jr.Backward]:!1,[Jr.Forward]:!1},y:{[Jr.Backward]:!1,[Jr.Forward]:!1}};function Gke(e){let{delta:t,disabled:n}=e;const r=G1(t);return Xm(i=>{if(n||!r||!i)return Vke;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[Jr.Backward]:i.x[Jr.Backward]||o.x===-1,[Jr.Forward]:i.x[Jr.Forward]||o.x===1},y:{[Jr.Backward]:i.y[Jr.Backward]||o.y===-1,[Jr.Forward]:i.y[Jr.Forward]||o.y===1}}},[n,t,r])}function Hke(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Xm(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function qke(e,t){return M.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var tm;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(tm||(tm={}));var H3;(function(e){e.Optimized="optimized"})(H3||(H3={}));const _I=new Map;function Wke(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=M.useState(null),{frequency:a,measure:l,strategy:u}=i,c=M.useRef(e),d=b(),f=Zg(d),h=M.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(v=>v===null?_:v.concat(_.filter(g=>!v.includes(g))))},[f]),p=M.useRef(null),m=Xm(_=>{if(d&&!n)return _I;if(!_||_===_I||c.current!==e||o!=null){const v=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){v.set(g.id,g.rect.current);continue}const y=g.node.current,S=y?new k4(l(y),y):null;g.rect.current=S,S&&v.set(g.id,S)}return v}return _},[e,o,n,d,l]);return M.useEffect(()=>{c.current=e},[e]),M.useEffect(()=>{d||h()},[n,d]),M.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),M.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case tm.Always:return!1;case tm.BeforeDragging:return n;default:return!n}}}function R4(e,t){return Xm(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function Kke(e,t){return R4(e,t)}function Xke(e){let{callback:t,disabled:n}=e;const r=HS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function WS(e){let{callback:t,disabled:n}=e;const r=HS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function Qke(e){return new k4(Qm(e),e)}function bI(e,t,n){t===void 0&&(t=Qke);const[r,i]=M.useReducer(a,null),o=Xke({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=WS({callback:i});return va(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function Yke(e){const t=R4(e);return rV(e,t)}const SI=[];function Zke(e){const t=M.useRef(e),n=Xm(r=>e?r&&r!==SI&&e&&t.current&&e.parentNode===t.current.parentNode?r:A4(e):SI,[e]);return M.useEffect(()=>{t.current=e},[e]),n}function Jke(e){const[t,n]=M.useState(null),r=M.useRef(e),i=M.useCallback(o=>{const s=Kw(o.target);s&&n(a=>a?(a.set(s,V3(s)),new Map(a)):null)},[]);return M.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=Kw(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,V3(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=Kw(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),M.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>mf(o,s),Ls):cV(e):Ls,[e,t])}function wI(e,t){t===void 0&&(t=[]);const n=M.useRef(null);return M.useEffect(()=>{n.current=null},t),M.useEffect(()=>{const r=e!==Ls;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?H1(e,n.current):Ls}function e6e(e){M.useEffect(()=>{if(!GS)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function t6e(e,t){return M.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function yV(e){return M.useMemo(()=>e?kke(e):null,[e])}const Yw=[];function n6e(e,t){t===void 0&&(t=Qm);const[n]=e,r=yV(n?Ji(n):null),[i,o]=M.useReducer(a,Yw),s=WS({callback:o});return e.length>0&&i===Yw&&o(),va(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>lV(l)?r:new k4(t(l),l)):Yw}}function vV(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Km(t)?t:e}function r6e(e){let{measure:t}=e;const[n,r]=M.useState(null),i=M.useCallback(u=>{for(const{target:c}of u)if(Km(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=WS({callback:i}),s=M.useCallback(u=>{const c=vV(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=V1(s);return M.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const i6e=[{sensor:pV,options:{}},{sensor:hV,options:{}}],o6e={current:{}},Y0={draggable:{measure:gI},droppable:{measure:gI,strategy:tm.WhileDragging,frequency:H3.Optimized},dragOverlay:{measure:Qm}};class Pp extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const s6e={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Pp,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:q1},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Y0,measureDroppableContainers:q1,windowRect:null,measuringScheduled:!1},_V={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:q1,draggableNodes:new Map,over:null,measureDroppableContainers:q1},Ym=M.createContext(_V),bV=M.createContext(s6e);function a6e(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new Pp}}}function l6e(e,t){switch(t.type){case Lr.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case Lr.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case Lr.DragEnd:case Lr.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case Lr.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new Pp(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case Lr.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const s=new Pp(e.droppable.containers);return s.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:s}}}case Lr.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new Pp(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function u6e(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=M.useContext(Ym),o=G1(r),s=G1(n==null?void 0:n.id);return M.useEffect(()=>{if(!t&&!r&&o&&s!=null){if(!T4(o)||document.activeElement===o.target)return;const a=i.get(s);if(!a)return;const{activatorNode:l,node:u}=a;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=tke(c);if(d){d.focus();break}}})}},[r,t,i,s,o]),null}function SV(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function c6e(e){return M.useMemo(()=>({draggable:{...Y0.draggable,...e==null?void 0:e.draggable},droppable:{...Y0.droppable,...e==null?void 0:e.droppable},dragOverlay:{...Y0.dragOverlay,...e==null?void 0:e.dragOverlay}}),[e==null?void 0:e.draggable,e==null?void 0:e.droppable,e==null?void 0:e.dragOverlay])}function d6e(e){let{activeNode:t,measure:n,initialRect:r,config:i=!0}=e;const o=M.useRef(!1),{x:s,y:a}=typeof i=="boolean"?{x:i,y:i}:i;va(()=>{if(!s&&!a||!t){o.current=!1;return}if(o.current||!r)return;const u=t==null?void 0:t.node.current;if(!u||u.isConnected===!1)return;const c=n(u),d=rV(c,r);if(s||(d.x=0),a||(d.y=0),o.current=!0,Math.abs(d.x)>0||Math.abs(d.y)>0){const f=oV(u);f&&f.scrollBy({top:d.y,left:d.x})}},[t,s,a,r,n])}const KS=M.createContext({...Ls,scaleX:1,scaleY:1});var Ol;(function(e){e[e.Uninitialized=0]="Uninitialized",e[e.Initializing=1]="Initializing",e[e.Initialized=2]="Initialized"})(Ol||(Ol={}));const f6e=M.memo(function(t){var n,r,i,o;let{id:s,accessibility:a,autoScroll:l=!0,children:u,sensors:c=i6e,collisionDetection:d=bke,measuring:f,modifiers:h,...p}=t;const m=M.useReducer(l6e,void 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l.globalStyles=="function"&&A.createElement(B,{styles:l.globalStyles(l)}),s))}Er.displayName="@mantine/core/MantineProvider";const{definePartsStyle:Nr,defineMultiStyleConfig:$r}=Xe(at.keys),Tr=Nr(e=>({button:{fontWeight:500,bg:P("base.300","base.500")(e),color:P("base.900","base.100")(e),_hover:{bg:P("base.400","base.600")(e),color:P("base.900","base.50")(e),fontWeight:600}},list:{zIndex:9999,color:P("base.900","base.150")(e),bg:P("base.200","base.800")(e),shadow:"dark-lg",border:"none"},item:{fontSize:"sm",bg:P("base.200","base.800")(e),_hover:{bg:P("base.300","base.700")(e),svg:{opacity:1}},_focus:{bg:P("base.400","base.600")(e)},svg:{opacity:.7,fontSize:14}}})),mn=$r({variants:{invokeAI:Tr},defaultProps:{variant:"invokeAI"}}),gn={variants:{enter:{visibility:"visible",opacity:1,scale:1,transition:{duration:.07,ease:[.4,0,.2,1]}},exit:{transitionEnd:{visibility:"hidden"},opacity:0,scale:.8,transition:{duration:.07,easings:"easeOut"}}}};export{on as A,Qr as B,Te as C,Gr as D,at as E,Ur as F,Vr as G,Zr as H,L as I,Fr as J,Hr as K,Wr as L,Dr as M,Mr as N,nn as O,G as P,Or as Q,zr as R,Rr as S,Ye as T,sn as U,cn as V,mn as W,Er as X,M as a,ct as b,an as c,ne as d,un as e,fn as f,He as g,dn as h,Cr as i,W as j,Le as k,pn as l,gn as m,P as n,tn as o,rn as p,Br as q,E as r,Yr as s,en as t,ln as u,qr as v,Lr as w,Xr as x,Jr as y,Kr as z};
diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index 42b2bcdd8c..13647eec4b 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-08cda350.js"></script>
+    <script type="module" crossorigin src="./assets/index-f83c2c5c.js"></script>
   </head>
 
   <body dir="ltr">
diff --git a/invokeai/frontend/web/dist/locales/en.json b/invokeai/frontend/web/dist/locales/en.json
index 32144749bd..125554fc40 100644
--- a/invokeai/frontend/web/dist/locales/en.json
+++ b/invokeai/frontend/web/dist/locales/en.json
@@ -511,6 +511,7 @@
         "maskBlur": "Blur",
         "maskBlurMethod": "Blur Method",
         "coherencePassHeader": "Coherence Pass",
+        "coherenceMode": "Mode",
         "coherenceSteps": "Steps",
         "coherenceStrength": "Strength",
         "seamLowThreshold": "Low",
@@ -520,6 +521,7 @@
         "scaledHeight": "Scaled H",
         "infillMethod": "Infill Method",
         "tileSize": "Tile Size",
+        "patchmatchDownScaleSize": "Downscale",
         "boundingBoxHeader": "Bounding Box",
         "seamCorrectionHeader": "Seam Correction",
         "infillScalingHeader": "Infill and Scaling",

From d3a94e58534a56dcf591057128a76a08c517129c Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Fri, 8 Sep 2023 15:27:22 +1000
Subject: [PATCH 046/265] Update release version to 3.1.1rc1

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

diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py
index f5f41e567e..60bb910ed6 100644
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "3.1.0"
+__version__ = "3.1.1rc1"

From 47ea71d9bd8d5ae8457694523349f5d7da20238f Mon Sep 17 00:00:00 2001
From: vedant-3010 <vedantdandgepro@gmail.com>
Date: Fri, 8 Sep 2023 00:30:49 +0530
Subject: [PATCH 047/265] fixed quick links responsiveness

---
 docs/index.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/docs/index.md b/docs/index.md
index a317f4590e..1190ea7caa 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -15,7 +15,8 @@ title: Home
 <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.1/css/fontawesome.min.css">
 <style>
     .button {
-      width: 300px;
+      width: 100%;
+      max-width: 100%;
       height: 50px;
       background-color: #448AFF;
       color: #fff;
@@ -27,8 +28,9 @@ title: Home
 
     .button-container {
       display: grid;
-      grid-template-columns: repeat(3, 300px);
+      grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
       gap: 20px;
+      justify-content: center;
     }
 
     .button:hover {

From ddc148b70b480aa8b0a46b3d58c1a1173946641f Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 8 Sep 2023 11:00:11 -0400
Subject: [PATCH 048/265] Move ConditioningData and its field classes to their
 own file. This will allow new conditioning types to be added more cleanly
 without introducing circular dependencies.

---
 invokeai/app/invocations/compel.py            | 63 ++++++++------
 invokeai/app/invocations/latent.py            |  4 +-
 invokeai/backend/stable_diffusion/__init__.py |  6 --
 .../stable_diffusion/diffusers_pipeline.py    | 46 +---------
 .../stable_diffusion/diffusion/__init__.py    |  7 +-
 .../diffusion/conditioning_data.py            | 87 +++++++++++++++++++
 .../diffusion/shared_invokeai_diffusion.py    | 49 ++---------
 7 files changed, 137 insertions(+), 125 deletions(-)
 create mode 100644 invokeai/backend/stable_diffusion/diffusion/conditioning_data.py

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 4557c57820..8316ce289d 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -4,18 +4,23 @@ from typing import List, Union
 
 import torch
 from compel import Compel, ReturnedEmbeddingsType
-from compel.prompt_parser import Blend, Conjunction, CrossAttentionControlSubstitute, FlattenedPrompt, Fragment
-from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput
+from compel.prompt_parser import (
+    Blend,
+    Conjunction,
+    CrossAttentionControlSubstitute,
+    FlattenedPrompt,
+    Fragment,
+)
 
-from invokeai.backend.stable_diffusion.diffusion.shared_invokeai_diffusion import (
+from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput
+from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
     BasicConditioningInfo,
+    ExtraConditioningInfo,
     SDXLConditioningInfo,
 )
 
-from ...backend.model_management.models import ModelType
 from ...backend.model_management.lora import ModelPatcher
-from ...backend.model_management.models import ModelNotFoundException
-from ...backend.stable_diffusion.diffusion import InvokeAIDiffuserComponent
+from ...backend.model_management.models import ModelNotFoundException, ModelType
 from ...backend.util.devices import torch_dtype
 from .baseinvocation import (
     BaseInvocation,
@@ -100,14 +105,15 @@ class CompelInvocation(BaseInvocation):
                 # print(traceback.format_exc())
                 print(f'Warn: trigger: "{trigger}" not found')
 
-        with ModelPatcher.apply_lora_text_encoder(
-            text_encoder_info.context.model, _lora_loader()
-        ), ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as (
-            tokenizer,
-            ti_manager,
-        ), ModelPatcher.apply_clip_skip(
-            text_encoder_info.context.model, self.clip.skipped_layers
-        ), text_encoder_info as text_encoder:
+        with (
+            ModelPatcher.apply_lora_text_encoder(text_encoder_info.context.model, _lora_loader()),
+            ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as (
+                tokenizer,
+                ti_manager,
+            ),
+            ModelPatcher.apply_clip_skip(text_encoder_info.context.model, self.clip.skipped_layers),
+            text_encoder_info as text_encoder,
+        ):
             compel = Compel(
                 tokenizer=tokenizer,
                 text_encoder=text_encoder,
@@ -123,7 +129,7 @@ class CompelInvocation(BaseInvocation):
 
             c, options = compel.build_conditioning_tensor_for_conjunction(conjunction)
 
-            ec = InvokeAIDiffuserComponent.ExtraConditioningInfo(
+            ec = ExtraConditioningInfo(
                 tokens_count_including_eos_bos=get_max_token_count(tokenizer, conjunction),
                 cross_attention_control_args=options.get("cross_attention_control", None),
             )
@@ -214,14 +220,15 @@ class SDXLPromptInvocationBase:
                 # print(traceback.format_exc())
                 print(f'Warn: trigger: "{trigger}" not found')
 
-        with ModelPatcher.apply_lora(
-            text_encoder_info.context.model, _lora_loader(), lora_prefix
-        ), ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as (
-            tokenizer,
-            ti_manager,
-        ), ModelPatcher.apply_clip_skip(
-            text_encoder_info.context.model, clip_field.skipped_layers
-        ), text_encoder_info as text_encoder:
+        with (
+            ModelPatcher.apply_lora(text_encoder_info.context.model, _lora_loader(), lora_prefix),
+            ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as (
+                tokenizer,
+                ti_manager,
+            ),
+            ModelPatcher.apply_clip_skip(text_encoder_info.context.model, clip_field.skipped_layers),
+            text_encoder_info as text_encoder,
+        ):
             compel = Compel(
                 tokenizer=tokenizer,
                 text_encoder=text_encoder,
@@ -245,7 +252,7 @@ class SDXLPromptInvocationBase:
             else:
                 c_pooled = None
 
-            ec = InvokeAIDiffuserComponent.ExtraConditioningInfo(
+            ec = ExtraConditioningInfo(
                 tokens_count_including_eos_bos=get_max_token_count(tokenizer, conjunction),
                 cross_attention_control_args=options.get("cross_attention_control", None),
             )
@@ -437,9 +444,11 @@ def get_tokens_for_prompt_object(tokenizer, parsed_prompt: FlattenedPrompt, trun
         raise ValueError("Blend is not supported here - you need to get tokens for each of its .children")
 
     text_fragments = [
-        x.text
-        if type(x) is Fragment
-        else (" ".join([f.text for f in x.original]) if type(x) is CrossAttentionControlSubstitute else str(x))
+        (
+            x.text
+            if type(x) is Fragment
+            else (" ".join([f.text for f in x.original]) if type(x) is CrossAttentionControlSubstitute else str(x))
+        )
         for x in parsed_prompt.children
     ]
     text = " ".join(text_fragments)
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index ece6706680..6bb216eee3 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -33,13 +33,15 @@ from invokeai.app.invocations.primitives import (
 from invokeai.app.util.controlnet_utils import prepare_control_image
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
+from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
+    ConditioningData,
+)
 
 from ...backend.model_management.lora import ModelPatcher
 from ...backend.model_management.models import BaseModelType
 from ...backend.model_management.seamless import set_seamless
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
-    ConditioningData,
     ControlNetData,
     IPAdapterData,
     StableDiffusionGeneratorPipeline,
diff --git a/invokeai/backend/stable_diffusion/__init__.py b/invokeai/backend/stable_diffusion/__init__.py
index a958750802..3c80eb5fe8 100644
--- a/invokeai/backend/stable_diffusion/__init__.py
+++ b/invokeai/backend/stable_diffusion/__init__.py
@@ -2,14 +2,8 @@
 Initialization file for the invokeai.backend.stable_diffusion package
 """
 from .diffusers_pipeline import (  # noqa: F401
-    ConditioningData,
     PipelineIntermediateState,
     StableDiffusionGeneratorPipeline,
 )
 from .diffusion import InvokeAIDiffuserComponent  # noqa: F401
 from .diffusion.cross_attention_map_saving import AttentionMapSaver  # noqa: F401
-from .diffusion.shared_invokeai_diffusion import (  # noqa: F401
-    PostprocessingSettings,
-    BasicConditioningInfo,
-    SDXLConditioningInfo,
-)
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 53f152eacf..17b358f61c 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -28,14 +28,12 @@ from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
+from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
+    ConditioningData,
+)
 
 from ..util import auto_detect_slice_size, normalize_device
-from .diffusion import (
-    AttentionMapSaver,
-    BasicConditioningInfo,
-    InvokeAIDiffuserComponent,
-    PostprocessingSettings,
-)
+from .diffusion import AttentionMapSaver, InvokeAIDiffuserComponent
 
 
 @dataclass
@@ -181,42 +179,6 @@ class IPAdapterData:
     weight: float = Field(default=1.0)
 
 
-@dataclass
-class ConditioningData:
-    unconditioned_embeddings: BasicConditioningInfo
-    text_embeddings: BasicConditioningInfo
-    guidance_scale: Union[float, List[float]]
-    """
-    Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
-    `guidance_scale` is defined as `w` of equation 2. of [Imagen Paper](https://arxiv.org/pdf/2205.11487.pdf).
-    Guidance scale is enabled by setting `guidance_scale > 1`. Higher guidance scale encourages to generate
-    images that are closely linked to the text `prompt`, usually at the expense of lower image quality.
-    """
-    extra: Optional[InvokeAIDiffuserComponent.ExtraConditioningInfo] = None
-    scheduler_args: dict[str, Any] = field(default_factory=dict)
-    """
-    Additional arguments to pass to invokeai_diffuser.do_latent_postprocessing().
-    """
-    postprocessing_settings: Optional[PostprocessingSettings] = None
-
-    @property
-    def dtype(self):
-        return self.text_embeddings.dtype
-
-    def add_scheduler_args_if_applicable(self, scheduler, **kwargs):
-        scheduler_args = dict(self.scheduler_args)
-        step_method = inspect.signature(scheduler.step)
-        for name, value in kwargs.items():
-            try:
-                step_method.bind_partial(**{name: value})
-            except TypeError:
-                # FIXME: don't silently discard arguments
-                pass  # debug("%s does not accept argument named %r", scheduler, name)
-            else:
-                scheduler_args[name] = value
-        return dataclasses.replace(self, scheduler_args=scheduler_args)
-
-
 @dataclass
 class InvokeAIStableDiffusionPipelineOutput(StableDiffusionPipelineOutput):
     r"""
diff --git a/invokeai/backend/stable_diffusion/diffusion/__init__.py b/invokeai/backend/stable_diffusion/diffusion/__init__.py
index 2bcc595889..00e6f1b916 100644
--- a/invokeai/backend/stable_diffusion/diffusion/__init__.py
+++ b/invokeai/backend/stable_diffusion/diffusion/__init__.py
@@ -3,9 +3,4 @@ Initialization file for invokeai.models.diffusion
 """
 from .cross_attention_control import InvokeAICrossAttentionMixin  # noqa: F401
 from .cross_attention_map_saving import AttentionMapSaver  # noqa: F401
-from .shared_invokeai_diffusion import (  # noqa: F401
-    InvokeAIDiffuserComponent,
-    PostprocessingSettings,
-    BasicConditioningInfo,
-    SDXLConditioningInfo,
-)
+from .shared_invokeai_diffusion import InvokeAIDiffuserComponent  # noqa: F401
diff --git a/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
new file mode 100644
index 0000000000..2634dd600d
--- /dev/null
+++ b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
@@ -0,0 +1,87 @@
+import dataclasses
+import inspect
+from dataclasses import dataclass, field
+from typing import Any, List, Optional, Union
+
+import torch
+
+from .cross_attention_control import Arguments
+
+
+@dataclass
+class ExtraConditioningInfo:
+    tokens_count_including_eos_bos: int
+    cross_attention_control_args: Optional[Arguments] = None
+
+    @property
+    def wants_cross_attention_control(self):
+        return self.cross_attention_control_args is not None
+
+
+@dataclass
+class BasicConditioningInfo:
+    embeds: torch.Tensor
+    # TODO(ryand): Right now we awkwardly copy the extra conditioning info from here up to `ConditioningData`. This
+    # should only be stored in one place.
+    extra_conditioning: Optional[ExtraConditioningInfo]
+    # weight: float
+    # mode: ConditioningAlgo
+
+    def to(self, device, dtype=None):
+        self.embeds = self.embeds.to(device=device, dtype=dtype)
+        return self
+
+
+@dataclass
+class SDXLConditioningInfo(BasicConditioningInfo):
+    pooled_embeds: torch.Tensor
+    add_time_ids: torch.Tensor
+
+    def to(self, device, dtype=None):
+        self.pooled_embeds = self.pooled_embeds.to(device=device, dtype=dtype)
+        self.add_time_ids = self.add_time_ids.to(device=device, dtype=dtype)
+        return super().to(device=device, dtype=dtype)
+
+
+@dataclass(frozen=True)
+class PostprocessingSettings:
+    threshold: float
+    warmup: float
+    h_symmetry_time_pct: Optional[float]
+    v_symmetry_time_pct: Optional[float]
+
+
+@dataclass
+class ConditioningData:
+    unconditioned_embeddings: BasicConditioningInfo
+    text_embeddings: BasicConditioningInfo
+    guidance_scale: Union[float, List[float]]
+    """
+    Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
+    `guidance_scale` is defined as `w` of equation 2. of [Imagen Paper](https://arxiv.org/pdf/2205.11487.pdf).
+    Guidance scale is enabled by setting `guidance_scale > 1`. Higher guidance scale encourages to generate
+    images that are closely linked to the text `prompt`, usually at the expense of lower image quality.
+    """
+    extra: Optional[ExtraConditioningInfo] = None
+    scheduler_args: dict[str, Any] = field(default_factory=dict)
+    """
+    Additional arguments to pass to invokeai_diffuser.do_latent_postprocessing().
+    """
+    postprocessing_settings: Optional[PostprocessingSettings] = None
+
+    @property
+    def dtype(self):
+        return self.text_embeddings.dtype
+
+    def add_scheduler_args_if_applicable(self, scheduler, **kwargs):
+        scheduler_args = dict(self.scheduler_args)
+        step_method = inspect.signature(scheduler.step)
+        for name, value in kwargs.items():
+            try:
+                step_method.bind_partial(**{name: value})
+            except TypeError:
+                # FIXME: don't silently discard arguments
+                pass  # debug("%s does not accept argument named %r", scheduler, name)
+            else:
+                scheduler_args[name] = value
+        return dataclasses.replace(self, scheduler_args=scheduler_args)
diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index f05adafca2..aa53a0435e 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -1,8 +1,7 @@
 from __future__ import annotations
 
-from contextlib import contextmanager
-from dataclasses import dataclass
 import math
+from contextlib import contextmanager
 from typing import Any, Callable, Optional, Union
 
 import torch
@@ -10,9 +9,13 @@ from diffusers import UNet2DConditionModel
 from typing_extensions import TypeAlias
 
 from invokeai.app.services.config import InvokeAIAppConfig
+from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
+    ExtraConditioningInfo,
+    PostprocessingSettings,
+    SDXLConditioningInfo,
+)
 
 from .cross_attention_control import (
-    Arguments,
     Context,
     CrossAttentionType,
     SwapCrossAttnContext,
@@ -31,37 +34,6 @@ ModelForwardCallback: TypeAlias = Union[
 ]
 
 
-@dataclass
-class BasicConditioningInfo:
-    embeds: torch.Tensor
-    extra_conditioning: Optional[InvokeAIDiffuserComponent.ExtraConditioningInfo]
-    # weight: float
-    # mode: ConditioningAlgo
-
-    def to(self, device, dtype=None):
-        self.embeds = self.embeds.to(device=device, dtype=dtype)
-        return self
-
-
-@dataclass
-class SDXLConditioningInfo(BasicConditioningInfo):
-    pooled_embeds: torch.Tensor
-    add_time_ids: torch.Tensor
-
-    def to(self, device, dtype=None):
-        self.pooled_embeds = self.pooled_embeds.to(device=device, dtype=dtype)
-        self.add_time_ids = self.add_time_ids.to(device=device, dtype=dtype)
-        return super().to(device=device, dtype=dtype)
-
-
-@dataclass(frozen=True)
-class PostprocessingSettings:
-    threshold: float
-    warmup: float
-    h_symmetry_time_pct: Optional[float]
-    v_symmetry_time_pct: Optional[float]
-
-
 class InvokeAIDiffuserComponent:
     """
     The aim of this component is to provide a single place for code that can be applied identically to
@@ -75,15 +47,6 @@ class InvokeAIDiffuserComponent:
     debug_thresholding = False
     sequential_guidance = False
 
-    @dataclass
-    class ExtraConditioningInfo:
-        tokens_count_including_eos_bos: int
-        cross_attention_control_args: Optional[Arguments] = None
-
-        @property
-        def wants_cross_attention_control(self):
-            return self.cross_attention_control_args is not None
-
     def __init__(
         self,
         model,

From b2d5b53b5ff31385e44dfd2d7e84997f4834eef5 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 8 Sep 2023 11:47:36 -0400
Subject: [PATCH 049/265] Pass IP-Adapter conditioning via
 cross_attention_kwargs instead of concatenating to the text embedding. This
 avoids interference with other features that manipulate the text embedding
 (e.g. long prompts).

---
 .../backend/ip_adapter/attention_processor.py | 120 +++++++++++-------
 invokeai/backend/ip_adapter/ip_adapter.py     |   1 -
 .../stable_diffusion/diffusers_pipeline.py    |  25 +---
 .../diffusion/conditioning_data.py            |  14 ++
 .../diffusion/shared_invokeai_diffusion.py    |  43 ++++++-
 5 files changed, 135 insertions(+), 68 deletions(-)

diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
index 99d9edc5dd..b2876620cd 100644
--- a/invokeai/backend/ip_adapter/attention_processor.py
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -19,12 +19,42 @@ class AttnProcessor(DiffusersAttnProcessor, nn.Module):
         DiffusersAttnProcessor.__init__(self)
         nn.Module.__init__(self)
 
+    def __call__(
+        self,
+        attn,
+        hidden_states,
+        encoder_hidden_states=None,
+        attention_mask=None,
+        temb=None,
+        ip_adapter_image_prompt_embeds=None,
+    ):
+        """Re-definition of DiffusersAttnProcessor.__call__(...) that accepts and ignores the
+        ip_adapter_image_prompt_embeds parameter.
+        """
+        return DiffusersAttnProcessor.__call__(self, attn, hidden_states, encoder_hidden_states, attention_mask, temb)
+
 
 class AttnProcessor2_0(DiffusersAttnProcessor2_0, nn.Module):
     def __init__(self):
         DiffusersAttnProcessor2_0.__init__(self)
         nn.Module.__init__(self)
 
+    def __call__(
+        self,
+        attn,
+        hidden_states,
+        encoder_hidden_states=None,
+        attention_mask=None,
+        temb=None,
+        ip_adapter_image_prompt_embeds=None,
+    ):
+        """Re-definition of DiffusersAttnProcessor2_0.__call__(...) that accepts and ignores the
+        ip_adapter_image_prompt_embeds parameter.
+        """
+        return DiffusersAttnProcessor2_0.__call__(
+            self, attn, hidden_states, encoder_hidden_states, attention_mask, temb
+        )
+
 
 class IPAttnProcessor(nn.Module):
     r"""
@@ -32,21 +62,17 @@ class IPAttnProcessor(nn.Module):
     Args:
         hidden_size (`int`):
             The hidden size of the attention layer.
-        image_embedding_len (`int`):
-            The length of the IP-Adapter image embedding. It is assumed that the last `image_embedding_len` 'tokens' of
-            the `encoder_hidden_states` are the IP-Adapter image embeddings.
         cross_attention_dim (`int`):
             The number of channels in the `encoder_hidden_states`.
         scale (`float`, defaults to 1.0):
             the weight scale of image prompt.
     """
 
-    def __init__(self, hidden_size, image_embedding_len, cross_attention_dim=None, scale=1.0):
+    def __init__(self, hidden_size, cross_attention_dim=None, scale=1.0):
         super().__init__()
 
         self.hidden_size = hidden_size
         self.cross_attention_dim = cross_attention_dim
-        self.image_embedding_len = image_embedding_len
         self.scale = scale
 
         self.to_k_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
@@ -59,7 +85,18 @@ class IPAttnProcessor(nn.Module):
         encoder_hidden_states=None,
         attention_mask=None,
         temb=None,
+        ip_adapter_image_prompt_embeds=None,
     ):
+        if encoder_hidden_states is not None:
+            # If encoder_hidden_states is not None, then we are doing cross-attention, not self-attention. In this case,
+            # we will apply IP-Adapter conditioning. We validate the inputs for IP-Adapter conditioning here.
+            assert ip_adapter_image_prompt_embeds is not None
+            # The batch dimensions should match.
+            assert ip_adapter_image_prompt_embeds.shape[0] == encoder_hidden_states.shape[0]
+            # The channel dimensions should match.
+            assert ip_adapter_image_prompt_embeds.shape[2] == encoder_hidden_states.shape[2]
+            ip_hidden_states = ip_adapter_image_prompt_embeds
+
         residual = hidden_states
 
         if attn.spatial_norm is not None:
@@ -86,12 +123,6 @@ class IPAttnProcessor(nn.Module):
         elif attn.norm_cross:
             encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
 
-        # Split text encoder hidden states and image encoder hidden state.
-        encoder_hidden_states, ip_hidden_states = (
-            encoder_hidden_states[:, : -self.image_embedding_len, :],
-            encoder_hidden_states[:, -self.image_embedding_len :, :],
-        )
-
         key = attn.to_k(encoder_hidden_states)
         value = attn.to_v(encoder_hidden_states)
 
@@ -103,18 +134,18 @@ class IPAttnProcessor(nn.Module):
         hidden_states = torch.bmm(attention_probs, value)
         hidden_states = attn.batch_to_head_dim(hidden_states)
 
-        # for ip-adapter
-        ip_key = self.to_k_ip(ip_hidden_states)
-        ip_value = self.to_v_ip(ip_hidden_states)
+        if ip_hidden_states is not None:
+            ip_key = self.to_k_ip(ip_hidden_states)
+            ip_value = self.to_v_ip(ip_hidden_states)
 
-        ip_key = attn.head_to_batch_dim(ip_key)
-        ip_value = attn.head_to_batch_dim(ip_value)
+            ip_key = attn.head_to_batch_dim(ip_key)
+            ip_value = attn.head_to_batch_dim(ip_value)
 
-        ip_attention_probs = attn.get_attention_scores(query, ip_key, None)
-        ip_hidden_states = torch.bmm(ip_attention_probs, ip_value)
-        ip_hidden_states = attn.batch_to_head_dim(ip_hidden_states)
+            ip_attention_probs = attn.get_attention_scores(query, ip_key, None)
+            ip_hidden_states = torch.bmm(ip_attention_probs, ip_value)
+            ip_hidden_states = attn.batch_to_head_dim(ip_hidden_states)
 
-        hidden_states = hidden_states + self.scale * ip_hidden_states
+            hidden_states = hidden_states + self.scale * ip_hidden_states
 
         # linear proj
         hidden_states = attn.to_out[0](hidden_states)
@@ -138,16 +169,13 @@ class IPAttnProcessor2_0(torch.nn.Module):
     Args:
         hidden_size (`int`):
             The hidden size of the attention layer.
-        image_embedding_len (`int`):
-            The length of the IP-Adapter image embedding. It is assumed that the last `image_embedding_len` 'tokens' of
-            the `encoder_hidden_states` are the IP-Adapter image embeddings.
         cross_attention_dim (`int`):
             The number of channels in the `encoder_hidden_states`.
         scale (`float`, defaults to 1.0):
             the weight scale of image prompt.
     """
 
-    def __init__(self, hidden_size, image_embedding_len, cross_attention_dim=None, scale=1.0):
+    def __init__(self, hidden_size, cross_attention_dim=None, scale=1.0):
         super().__init__()
 
         if not hasattr(F, "scaled_dot_product_attention"):
@@ -155,7 +183,6 @@ class IPAttnProcessor2_0(torch.nn.Module):
 
         self.hidden_size = hidden_size
         self.cross_attention_dim = cross_attention_dim
-        self.text_context_len = text_context_len
         self.scale = scale
 
         self.to_k_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
@@ -168,7 +195,18 @@ class IPAttnProcessor2_0(torch.nn.Module):
         encoder_hidden_states=None,
         attention_mask=None,
         temb=None,
+        ip_adapter_image_prompt_embeds=None,
     ):
+        if encoder_hidden_states is not None:
+            # If encoder_hidden_states is not None, then we are doing cross-attention, not self-attention. In this case,
+            # we will apply IP-Adapter conditioning. We validate the inputs for IP-Adapter conditioning here.
+            assert ip_adapter_image_prompt_embeds is not None
+            # The batch dimensions should match.
+            assert ip_adapter_image_prompt_embeds.shape[0] == encoder_hidden_states.shape[0]
+            # The channel dimensions should match.
+            assert ip_adapter_image_prompt_embeds.shape[2] == encoder_hidden_states.shape[2]
+            ip_hidden_states = ip_adapter_image_prompt_embeds
+
         residual = hidden_states
 
         if attn.spatial_norm is not None:
@@ -200,12 +238,6 @@ class IPAttnProcessor2_0(torch.nn.Module):
         elif attn.norm_cross:
             encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
 
-        # Split text encoder hidden states and image encoder hidden state.
-        encoder_hidden_states, ip_hidden_states = (
-            encoder_hidden_states[:, : -self.image_embedding_len, :],
-            encoder_hidden_states[:, -self.image_embedding_len :, :],
-        )
-
         key = attn.to_k(encoder_hidden_states)
         value = attn.to_v(encoder_hidden_states)
 
@@ -226,23 +258,23 @@ class IPAttnProcessor2_0(torch.nn.Module):
         hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
         hidden_states = hidden_states.to(query.dtype)
 
-        # for ip-adapter
-        ip_key = self.to_k_ip(ip_hidden_states)
-        ip_value = self.to_v_ip(ip_hidden_states)
+        if ip_hidden_states:
+            ip_key = self.to_k_ip(ip_hidden_states)
+            ip_value = self.to_v_ip(ip_hidden_states)
 
-        ip_key = ip_key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
-        ip_value = ip_value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+            ip_key = ip_key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
+            ip_value = ip_value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
 
-        # the output of sdp = (batch, num_heads, seq_len, head_dim)
-        # TODO: add support for attn.scale when we move to Torch 2.1
-        ip_hidden_states = F.scaled_dot_product_attention(
-            query, ip_key, ip_value, attn_mask=None, dropout_p=0.0, is_causal=False
-        )
+            # the output of sdp = (batch, num_heads, seq_len, head_dim)
+            # TODO: add support for attn.scale when we move to Torch 2.1
+            ip_hidden_states = F.scaled_dot_product_attention(
+                query, ip_key, ip_value, attn_mask=None, dropout_p=0.0, is_causal=False
+            )
 
-        ip_hidden_states = ip_hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
-        ip_hidden_states = ip_hidden_states.to(query.dtype)
+            ip_hidden_states = ip_hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
+            ip_hidden_states = ip_hidden_states.to(query.dtype)
 
-        hidden_states = hidden_states + self.scale * ip_hidden_states
+            hidden_states = hidden_states + self.scale * ip_hidden_states
 
         # linear proj
         hidden_states = attn.to_out[0](hidden_states)
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index a9fcc25539..a109c9aac3 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -92,7 +92,6 @@ class IPAdapter:
                 print("swapping in IPAttnProcessor for", name)
                 attn_procs[name] = IPAttnProcessor(
                     hidden_size=hidden_size,
-                    image_embedding_len=self.num_tokens,
                     cross_attention_dim=cross_attention_dim,
                     scale=1.0,
                 ).to(self.device, dtype=torch.float16)
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 17b358f61c..138e3c9cea 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -30,6 +30,7 @@ from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
 from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
     ConditioningData,
+    IPAdapterConditioningInfo,
 )
 
 from ..util import auto_detect_slice_size, normalize_device
@@ -449,27 +450,11 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
 
             # Get image embeddings from CLIP and ImageProjModel.
             image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter.get_image_embeds(ip_adapter_data.image)
+            conditioning_data.ip_adapter_conditioning = IPAdapterConditioningInfo(
+                image_prompt_embeds, uncond_image_prompt_embeds
+            )
 
-            # The following commented block is kept for reference on how to repeat/reshape the image embeddings to
-            # generate a batch of multiple images:
-            # bs_embed, seq_len, _ = image_prompt_embeds.shape
-            # image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
-            # image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
-            # uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
-            # uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
-
-            text_prompt_embeds = conditioning_data.text_embeddings.embeds
-            uncond_text_prompt_embeds = conditioning_data.unconditioned_embeddings.embeds
-            print("text embeds shape:", text_prompt_embeds.shape)
-            concat_prompt_embeds = torch.cat([text_prompt_embeds, image_prompt_embeds], dim=1)
-            concat_uncond_prompt_embeds = torch.cat([uncond_text_prompt_embeds, uncond_image_prompt_embeds], dim=1)
-            print("concat embeds shape:", concat_prompt_embeds.shape)
-            conditioning_data.text_embeddings.embeds = concat_prompt_embeds
-            conditioning_data.unconditioned_embeddings.embeds = concat_uncond_prompt_embeds
-        else:
-            image_prompt_embeds = None
-            uncond_image_prompt_embeds = None
-
+        # TODO(ryand): Apply IP-Adapter or custom attention control
         extra_conditioning_info = conditioning_data.extra
         with self.invokeai_diffuser.custom_attention_context(
             self.invokeai_diffuser.model,
diff --git a/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
index 2634dd600d..083d925899 100644
--- a/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
+++ b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
@@ -51,6 +51,18 @@ class PostprocessingSettings:
     v_symmetry_time_pct: Optional[float]
 
 
+@dataclass
+class IPAdapterConditioningInfo:
+    cond_image_prompt_embeds: torch.Tensor
+    """IP-Adapter image encoder conditioning embeddings.
+    Shape: (batch_size, num_tokens, encoding_dim). Typically: (1, 4, 1024) TODO(ryand): confirm 
+    """
+    uncond_image_prompt_embeds: torch.Tensor
+    """IP-Adapter image encoding embeddings to use for unconditional generation.
+     Shape: (batch_size, num_tokens, encoding_dim). Typically: (1, 4, 1024) TODO(ryand): confirm 
+    """
+
+
 @dataclass
 class ConditioningData:
     unconditioned_embeddings: BasicConditioningInfo
@@ -69,6 +81,8 @@ class ConditioningData:
     """
     postprocessing_settings: Optional[PostprocessingSettings] = None
 
+    ip_adapter_conditioning: Optional[IPAdapterConditioningInfo] = None
+
     @property
     def dtype(self):
         return self.text_embeddings.dtype
diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index aa53a0435e..8473fa7bcc 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -10,6 +10,7 @@ from typing_extensions import TypeAlias
 
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
+    ConditioningData,
     ExtraConditioningInfo,
     PostprocessingSettings,
     SDXLConditioningInfo,
@@ -232,6 +233,8 @@ class InvokeAIDiffuserComponent:
         total_step_count: int,
         **kwargs,
     ):
+        # TODO(ryand): Raise here if both cross attention control and ip-adapter are enabled?
+
         cross_attention_control_types_to_do = []
         context: Context = self.cross_attention_control_context
         if self.cross_attention_control_context is not None:
@@ -339,11 +342,24 @@ class InvokeAIDiffuserComponent:
 
     # methods below are called from do_diffusion_step and should be considered private to this class.
 
-    def _apply_standard_conditioning(self, x, sigma, conditioning_data, **kwargs):
-        # fast batched path
+    def _apply_standard_conditioning(self, x, sigma, conditioning_data: ConditioningData, **kwargs):
+        """Runs the conditioned and unconditioned UNet forward passes in a single batch for faster inference speed at
+        the cost of higher memory usage.
+        """
         x_twice = torch.cat([x] * 2)
         sigma_twice = torch.cat([sigma] * 2)
 
+        cross_attention_kwargs = None
+        if conditioning_data.ip_adapter_conditioning is not None:
+            cross_attention_kwargs = {
+                "ip_adapter_image_prompt_embeds": torch.cat(
+                    [
+                        conditioning_data.ip_adapter_conditioning.uncond_image_prompt_embeds,
+                        conditioning_data.ip_adapter_conditioning.cond_image_prompt_embeds,
+                    ]
+                )
+            }
+
         added_cond_kwargs = None
         if type(conditioning_data.text_embeddings) is SDXLConditioningInfo:
             added_cond_kwargs = {
@@ -371,6 +387,7 @@ class InvokeAIDiffuserComponent:
             x_twice,
             sigma_twice,
             both_conditionings,
+            cross_attention_kwargs=cross_attention_kwargs,
             encoder_attention_mask=encoder_attention_mask,
             added_cond_kwargs=added_cond_kwargs,
             **kwargs,
@@ -382,9 +399,12 @@ class InvokeAIDiffuserComponent:
         self,
         x: torch.Tensor,
         sigma,
-        conditioning_data,
+        conditioning_data: ConditioningData,
         **kwargs,
     ):
+        """Runs the conditioned and unconditioned UNet forward passes sequentially for lower memory usage at the cost of
+        slower execution speed.
+        """
         # low-memory sequential path
         uncond_down_block, cond_down_block = None, None
         down_block_additional_residuals = kwargs.pop("down_block_additional_residuals", None)
@@ -400,6 +420,13 @@ class InvokeAIDiffuserComponent:
         if mid_block_additional_residual is not None:
             uncond_mid_block, cond_mid_block = mid_block_additional_residual.chunk(2)
 
+        # Run unconditional UNet denoising.
+        cross_attention_kwargs = None
+        if conditioning_data.ip_adapter_conditioning is not None:
+            cross_attention_kwargs = {
+                "ip_adapter_image_prompt_embeds": conditioning_data.ip_adapter_conditioning.uncond_image_prompt_embeds
+            }
+
         added_cond_kwargs = None
         is_sdxl = type(conditioning_data.text_embeddings) is SDXLConditioningInfo
         if is_sdxl:
@@ -412,12 +439,21 @@ class InvokeAIDiffuserComponent:
             x,
             sigma,
             conditioning_data.unconditioned_embeddings.embeds,
+            cross_attention_kwargs=cross_attention_kwargs,
             down_block_additional_residuals=uncond_down_block,
             mid_block_additional_residual=uncond_mid_block,
             added_cond_kwargs=added_cond_kwargs,
             **kwargs,
         )
 
+        # Run conditional UNet denoising.
+        cross_attention_kwargs = None
+        if conditioning_data.ip_adapter_conditioning is not None:
+            cross_attention_kwargs = {
+                "ip_adapter_image_prompt_embeds": conditioning_data.ip_adapter_conditioning.cond_image_prompt_embeds
+            }
+
+        added_cond_kwargs = None
         if is_sdxl:
             added_cond_kwargs = {
                 "text_embeds": conditioning_data.text_embeddings.pooled_embeds,
@@ -428,6 +464,7 @@ class InvokeAIDiffuserComponent:
             x,
             sigma,
             conditioning_data.text_embeddings.embeds,
+            cross_attention_kwargs=cross_attention_kwargs,
             down_block_additional_residuals=cond_down_block,
             mid_block_additional_residual=cond_mid_block,
             added_cond_kwargs=added_cond_kwargs,

From d669f0855db02c3d1e0bdd7ac8d19710d3880bee Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 8 Sep 2023 13:07:57 -0400
Subject: [PATCH 050/265] Comment unused IPAdapter generate(...) methods.

---
 invokeai/backend/ip_adapter/ip_adapter.py | 221 +++++++++++-----------
 1 file changed, 110 insertions(+), 111 deletions(-)

diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index a109c9aac3..2e0944a969 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -1,8 +1,6 @@
 # copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
 #   and modified as needed
 
-from typing import List
-
 import torch
 
 # FIXME: Getting errors when trying to use PyTorch 2.0 versions of IPAttnProcessor and AttnProcessor
@@ -120,134 +118,135 @@ class IPAdapter:
             if isinstance(attn_processor, IPAttnProcessor):
                 attn_processor.scale = scale
 
-    # IPAdapter.generate() method is not used for InvokeAI
-    #        left here for reference
-    def generate(
-        self,
-        pil_image,
-        prompt=None,
-        negative_prompt=None,
-        scale=1.0,
-        num_samples=4,
-        seed=-1,
-        guidance_scale=7.5,
-        num_inference_steps=30,
-        **kwargs,
-    ):
-        self.set_scale(scale)
+    # IPAdapter.generate() method is not used for InvokeAI. Left here for reference:
+    # def generate(
+    #     self,
+    #     pil_image,
+    #     prompt=None,
+    #     negative_prompt=None,
+    #     scale=1.0,
+    #     num_samples=4,
+    #     seed=-1,
+    #     guidance_scale=7.5,
+    #     num_inference_steps=30,
+    #     **kwargs,
+    # ):
+    #     self.set_scale(scale)
 
-        if isinstance(pil_image, Image.Image):
-            num_prompts = 1
-        else:
-            num_prompts = len(pil_image)
+    #     if isinstance(pil_image, Image.Image):
+    #         num_prompts = 1
+    #     else:
+    #         num_prompts = len(pil_image)
 
-        if prompt is None:
-            prompt = "best quality, high quality"
-        if negative_prompt is None:
-            negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
+    #     if prompt is None:
+    #         prompt = "best quality, high quality"
+    #     if negative_prompt is None:
+    #         negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
 
-        if not isinstance(prompt, List):
-            prompt = [prompt] * num_prompts
-        if not isinstance(negative_prompt, List):
-            negative_prompt = [negative_prompt] * num_prompts
+    #     if not isinstance(prompt, List):
+    #         prompt = [prompt] * num_prompts
+    #     if not isinstance(negative_prompt, List):
+    #         negative_prompt = [negative_prompt] * num_prompts
 
-        image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
-        bs_embed, seq_len, _ = image_prompt_embeds.shape
-        image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
-        image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
-        uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
-        uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+    #     image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
+    #     bs_embed, seq_len, _ = image_prompt_embeds.shape
+    #     image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
+    #     image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+    #     uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
+    #     uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
 
-        with torch.inference_mode():
-            prompt_embeds = self.pipe._encode_prompt(
-                prompt,
-                device=self.device,
-                num_images_per_prompt=num_samples,
-                do_classifier_free_guidance=True,
-                negative_prompt=negative_prompt,
-            )
-            negative_prompt_embeds_, prompt_embeds_ = prompt_embeds.chunk(2)
-            prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
-            negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
+    #     with torch.inference_mode():
+    #         prompt_embeds = self.pipe._encode_prompt(
+    #             prompt,
+    #             device=self.device,
+    #             num_images_per_prompt=num_samples,
+    #             do_classifier_free_guidance=True,
+    #             negative_prompt=negative_prompt,
+    #         )
+    #         negative_prompt_embeds_, prompt_embeds_ = prompt_embeds.chunk(2)
+    #         prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
+    #         negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
-        images = self.pipe(
-            prompt_embeds=prompt_embeds,
-            negative_prompt_embeds=negative_prompt_embeds,
-            guidance_scale=guidance_scale,
-            num_inference_steps=num_inference_steps,
-            generator=generator,
-            **kwargs,
-        ).images
+    #     generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+    #     images = self.pipe(
+    #         prompt_embeds=prompt_embeds,
+    #         negative_prompt_embeds=negative_prompt_embeds,
+    #         guidance_scale=guidance_scale,
+    #         num_inference_steps=num_inference_steps,
+    #         generator=generator,
+    #         **kwargs,
+    #     ).images
 
-        return images
+    #     return images
 
 
 class IPAdapterXL(IPAdapter):
     """SDXL"""
 
-    def generate(
-        self,
-        pil_image,
-        prompt=None,
-        negative_prompt=None,
-        scale=1.0,
-        num_samples=4,
-        seed=-1,
-        num_inference_steps=30,
-        **kwargs,
-    ):
-        self.set_scale(scale)
+    pass
+    # IPAdapterXL.generate() method is not used for InvokeAI. Left here for reference:
+    # def generate(
+    #     self,
+    #     pil_image,
+    #     prompt=None,
+    #     negative_prompt=None,
+    #     scale=1.0,
+    #     num_samples=4,
+    #     seed=-1,
+    #     num_inference_steps=30,
+    #     **kwargs,
+    # ):
+    #     self.set_scale(scale)
 
-        if isinstance(pil_image, Image.Image):
-            num_prompts = 1
-        else:
-            num_prompts = len(pil_image)
+    #     if isinstance(pil_image, Image.Image):
+    #         num_prompts = 1
+    #     else:
+    #         num_prompts = len(pil_image)
 
-        if prompt is None:
-            prompt = "best quality, high quality"
-        if negative_prompt is None:
-            negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
+    #     if prompt is None:
+    #         prompt = "best quality, high quality"
+    #     if negative_prompt is None:
+    #         negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
 
-        if not isinstance(prompt, List):
-            prompt = [prompt] * num_prompts
-        if not isinstance(negative_prompt, List):
-            negative_prompt = [negative_prompt] * num_prompts
+    #     if not isinstance(prompt, List):
+    #         prompt = [prompt] * num_prompts
+    #     if not isinstance(negative_prompt, List):
+    #         negative_prompt = [negative_prompt] * num_prompts
 
-        image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
-        bs_embed, seq_len, _ = image_prompt_embeds.shape
-        image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
-        image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
-        uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
-        uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+    #     image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
+    #     bs_embed, seq_len, _ = image_prompt_embeds.shape
+    #     image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
+    #     image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
+    #     uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
+    #     uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
 
-        with torch.inference_mode():
-            (
-                prompt_embeds,
-                negative_prompt_embeds,
-                pooled_prompt_embeds,
-                negative_pooled_prompt_embeds,
-            ) = self.pipe.encode_prompt(
-                prompt,
-                num_images_per_prompt=num_samples,
-                do_classifier_free_guidance=True,
-                negative_prompt=negative_prompt,
-            )
-            prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
-            negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
+    #     with torch.inference_mode():
+    #         (
+    #             prompt_embeds,
+    #             negative_prompt_embeds,
+    #             pooled_prompt_embeds,
+    #             negative_pooled_prompt_embeds,
+    #         ) = self.pipe.encode_prompt(
+    #             prompt,
+    #             num_images_per_prompt=num_samples,
+    #             do_classifier_free_guidance=True,
+    #             negative_prompt=negative_prompt,
+    #         )
+    #         prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
+    #         negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
 
-        generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
-        images = self.pipe(
-            prompt_embeds=prompt_embeds,
-            negative_prompt_embeds=negative_prompt_embeds,
-            pooled_prompt_embeds=pooled_prompt_embeds,
-            negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
-            num_inference_steps=num_inference_steps,
-            generator=generator,
-            **kwargs,
-        ).images
+    #     generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
+    #     images = self.pipe(
+    #         prompt_embeds=prompt_embeds,
+    #         negative_prompt_embeds=negative_prompt_embeds,
+    #         pooled_prompt_embeds=pooled_prompt_embeds,
+    #         negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
+    #         num_inference_steps=num_inference_steps,
+    #         generator=generator,
+    #         **kwargs,
+    #     ).images
 
-        return images
+    #     return images
 
 
 class IPAdapterPlus(IPAdapter):

From dc771d96457f517cab18c0f72958789dfc527993 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 6 Sep 2023 11:54:37 +1000
Subject: [PATCH 051/265] feat(backend): allow/deny nodes

Allow denying and explicitly allowing nodes. When a not-allowed node is used, a pydantic `ValidationError` will be raised.

- When collecting all invocations, check against the allowlist and denylist first. When pydantic constructs any unions related to nodes, the denied nodes will be omitted
- Add `allow_nodes` and `deny_nodes` to `InvokeAIAppConfig`. These are `Union[list[str], None]`, and may be populated with the `type` of invocations.
- When `allow_nodes` is `None`, allow all nodes, else if it is `list[str]`, only allow nodes in the list
- When `deny_nodes` is `None`, deny no nodes, else if it is `list[str]`, deny nodes in the list
- `deny_nodes` overrides `allow_nodes`
---
 invokeai/app/invocations/baseinvocation.py    | 22 ++++++++++++++++++-
 .../app/services/config/invokeai_config.py    |  4 ++++
 2 files changed, 25 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 65a8734690..f5ad61e4f8 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -28,6 +28,8 @@ from pydantic.fields import Undefined, ModelField
 from pydantic.typing import NoArgAnyCallable
 import semver
 
+from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig
+
 if TYPE_CHECKING:
     from ..services.invocation_services import InvocationServices
 
@@ -470,6 +472,8 @@ class BaseInvocation(ABC, BaseModel):
 
     @classmethod
     def get_all_subclasses(cls):
+        app_config = InvokeAIAppConfig.get_config()
+        app_config.parse_args()
         subclasses = []
         toprocess = [cls]
         while len(toprocess) > 0:
@@ -477,7 +481,23 @@ class BaseInvocation(ABC, BaseModel):
             next_subclasses = next.__subclasses__()
             subclasses.extend(next_subclasses)
             toprocess.extend(next_subclasses)
-        return subclasses
+        allowed_invocations = []
+        for sc in subclasses:
+            is_in_allowlist = (
+                sc.__fields__.get("type").default in app_config.allow_nodes
+                if isinstance(app_config.allow_nodes, list)
+                else True
+            )
+
+            is_in_denylist = (
+                sc.__fields__.get("type").default in app_config.deny_nodes
+                if isinstance(app_config.deny_nodes, list)
+                else False
+            )
+
+            if is_in_allowlist and not is_in_denylist:
+                allowed_invocations.append(sc)
+        return allowed_invocations
 
     @classmethod
     def get_invocations(cls):
diff --git a/invokeai/app/services/config/invokeai_config.py b/invokeai/app/services/config/invokeai_config.py
index 1a2c22c89a..7b687a28a1 100644
--- a/invokeai/app/services/config/invokeai_config.py
+++ b/invokeai/app/services/config/invokeai_config.py
@@ -254,6 +254,10 @@ class InvokeAIAppConfig(InvokeAISettings):
     attention_slice_size: Literal[tuple(["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8])] = Field(default="auto", description='Slice size, valid when attention_type=="sliced"', category="Generation", )
     force_tiled_decode: bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category="Generation",)
 
+    # NODES
+    allow_nodes         : Optional[List[str]] = Field(default=None, description="List of nodes to allow. Omit to allow all.", category="Nodes")
+    deny_nodes          : Optional[List[str]] = Field(default=None, description="List of nodes to deny. Omit to deny none.", category="Nodes")
+
     # DEPRECATED FIELDS - STILL HERE IN ORDER TO OBTAN VALUES FROM PRE-3.1 CONFIG FILES
     always_use_cpu      : bool = Field(default=False, description="If true, use the CPU for rendering even if a GPU is available.", category='Memory/Performance')
     free_gpu_mem        : Optional[bool] = Field(default=None, description="If true, purge model from GPU after each generation.", category='Memory/Performance')

From 7254a6a517354e1758e75e64af641c8bf4cfea46 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 6 Sep 2023 11:56:53 +1000
Subject: [PATCH 052/265] feat(ui): add UI-level nodes denylist

This simply hides nodes from the workflow editor. The nodes will still work if an API request is made with them. For example, you could hide `iterate` nodes from the workflow editor, but if the Linear UI makes use of those nodes, they will still function.

- Update `AppConfig` with optional property `nodesDenylist: string[]`
- If provided, nodes are filtered out by `type` in the workflow editor
---
 .../listenerMiddleware/listeners/receivedOpenAPISchema.ts | 7 +++++--
 invokeai/frontend/web/src/app/types/invokeai.ts           | 1 +
 .../frontend/web/src/features/nodes/util/parseSchema.ts   | 8 ++++++--
 .../frontend/web/src/features/system/store/configSlice.ts | 1 +
 4 files changed, 13 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts
index dd86c77735..d25a014607 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts
@@ -9,13 +9,16 @@ import { startAppListening } from '..';
 export const addReceivedOpenAPISchemaListener = () => {
   startAppListening({
     actionCreator: receivedOpenAPISchema.fulfilled,
-    effect: (action, { dispatch }) => {
+    effect: (action, { dispatch, getState }) => {
       const log = logger('system');
       const schemaJSON = action.payload;
 
       log.debug({ schemaJSON }, 'Received OpenAPI schema');
 
-      const nodeTemplates = parseSchema(schemaJSON);
+      const nodeTemplates = parseSchema(
+        schemaJSON,
+        getState().config.nodesDenylist
+      );
 
       log.debug(
         { nodeTemplates: parseify(nodeTemplates) },
diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts
index 8b247327c7..50c1e64250 100644
--- a/invokeai/frontend/web/src/app/types/invokeai.ts
+++ b/invokeai/frontend/web/src/app/types/invokeai.ts
@@ -50,6 +50,7 @@ export type AppConfig = {
   disabledFeatures: AppFeature[];
   disabledSDFeatures: SDFeature[];
   canRestoreDeletedImagesFromBin: boolean;
+  nodesDenylist: string[];
   sd: {
     defaultModel?: string;
     disabledControlNetModels: string[];
diff --git a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
index 553d0770aa..05ed1e8705 100644
--- a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
@@ -60,11 +60,15 @@ const isNotInDenylist = (schema: InvocationSchemaObject) =>
   !invocationDenylist.includes(schema.properties.type.default);
 
 export const parseSchema = (
-  openAPI: OpenAPIV3.Document
+  openAPI: OpenAPIV3.Document,
+  nodesDenylistExtra: string[] = []
 ): Record<string, InvocationTemplate> => {
   const filteredSchemas = Object.values(openAPI.components?.schemas ?? {})
     .filter(isInvocationSchemaObject)
-    .filter(isNotInDenylist);
+    .filter(isNotInDenylist)
+    .filter(
+      (schema) => !nodesDenylistExtra.includes(schema.properties.type.default)
+    );
 
   const invocations = filteredSchemas.reduce<
     Record<string, InvocationTemplate>
diff --git a/invokeai/frontend/web/src/features/system/store/configSlice.ts b/invokeai/frontend/web/src/features/system/store/configSlice.ts
index 8ad0ee33e4..49f7c3c704 100644
--- a/invokeai/frontend/web/src/features/system/store/configSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/configSlice.ts
@@ -15,6 +15,7 @@ export const initialConfigState: AppConfig = {
     'perlinNoise',
     'noiseThreshold',
   ],
+  nodesDenylist: [],
   canRestoreDeletedImagesFromBin: true,
   sd: {
     disabledControlNetModels: [],

From cc92ce3da58e6b95e139822ad790d127e63e66e1 Mon Sep 17 00:00:00 2001
From: Eugene Brodsky <ebr@users.noreply.github.com>
Date: Wed, 6 Sep 2023 15:34:34 -0400
Subject: [PATCH 053/265] feat(backend): allow/deny nodes - do not parse args
 again

---
 invokeai/app/invocations/baseinvocation.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index f5ad61e4f8..9084a7bf48 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -473,7 +473,6 @@ class BaseInvocation(ABC, BaseModel):
     @classmethod
     def get_all_subclasses(cls):
         app_config = InvokeAIAppConfig.get_config()
-        app_config.parse_args()
         subclasses = []
         toprocess = [cls]
         while len(toprocess) > 0:

From 74cc409c72607bae9ecec677fcd05f91c02eebc2 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 7 Sep 2023 11:11:34 +1000
Subject: [PATCH 054/265] feat(ui): add `nodesAllowlist` to config

---
 .../listeners/receivedOpenAPISchema.ts             |  5 +++--
 invokeai/frontend/web/src/app/types/invokeai.ts    |  3 ++-
 .../web/src/features/nodes/util/parseSchema.ts     | 14 +++++++++++---
 .../web/src/features/system/store/configSlice.ts   |  3 ++-
 4 files changed, 18 insertions(+), 7 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts
index d25a014607..5599913a18 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts
@@ -14,10 +14,11 @@ export const addReceivedOpenAPISchemaListener = () => {
       const schemaJSON = action.payload;
 
       log.debug({ schemaJSON }, 'Received OpenAPI schema');
-
+      const { nodesAllowlist, nodesDenylist } = getState().config;
       const nodeTemplates = parseSchema(
         schemaJSON,
-        getState().config.nodesDenylist
+        nodesAllowlist,
+        nodesDenylist
       );
 
       log.debug(
diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts
index 50c1e64250..a02c16cf7a 100644
--- a/invokeai/frontend/web/src/app/types/invokeai.ts
+++ b/invokeai/frontend/web/src/app/types/invokeai.ts
@@ -50,7 +50,8 @@ export type AppConfig = {
   disabledFeatures: AppFeature[];
   disabledSDFeatures: SDFeature[];
   canRestoreDeletedImagesFromBin: boolean;
-  nodesDenylist: string[];
+  nodesAllowlist: string[] | undefined;
+  nodesDenylist: string[] | undefined;
   sd: {
     defaultModel?: string;
     disabledControlNetModels: string[];
diff --git a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
index 05ed1e8705..8615a12c46 100644
--- a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
@@ -61,13 +61,21 @@ const isNotInDenylist = (schema: InvocationSchemaObject) =>
 
 export const parseSchema = (
   openAPI: OpenAPIV3.Document,
-  nodesDenylistExtra: string[] = []
+  nodesAllowlistExtra: string[] | undefined = undefined,
+  nodesDenylistExtra: string[] | undefined = undefined
 ): Record<string, InvocationTemplate> => {
   const filteredSchemas = Object.values(openAPI.components?.schemas ?? {})
     .filter(isInvocationSchemaObject)
     .filter(isNotInDenylist)
-    .filter(
-      (schema) => !nodesDenylistExtra.includes(schema.properties.type.default)
+    .filter((schema) =>
+      nodesAllowlistExtra
+        ? nodesAllowlistExtra.includes(schema.properties.type.default)
+        : true
+    )
+    .filter((schema) =>
+      nodesDenylistExtra
+        ? !nodesDenylistExtra.includes(schema.properties.type.default)
+        : true
     );
 
   const invocations = filteredSchemas.reduce<
diff --git a/invokeai/frontend/web/src/features/system/store/configSlice.ts b/invokeai/frontend/web/src/features/system/store/configSlice.ts
index 49f7c3c704..36a61be969 100644
--- a/invokeai/frontend/web/src/features/system/store/configSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/configSlice.ts
@@ -15,7 +15,8 @@ export const initialConfigState: AppConfig = {
     'perlinNoise',
     'noiseThreshold',
   ],
-  nodesDenylist: [],
+  nodesAllowlist: undefined,
+  nodesDenylist: undefined,
   canRestoreDeletedImagesFromBin: true,
   sd: {
     disabledControlNetModels: [],

From 24d9357fdcf25e50bccb4b09cc6e022c751ca8e1 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 7 Sep 2023 11:18:30 +1000
Subject: [PATCH 055/265] feat(ui): truncate error messages in toasts to 128
 characters

---
 .../web/src/features/system/store/systemSlice.ts | 16 +++++++++++-----
 1 file changed, 11 insertions(+), 5 deletions(-)

diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index bf8036ba98..022762bc78 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -3,7 +3,7 @@ import { PayloadAction, createSlice, isAnyOf } from '@reduxjs/toolkit';
 import { InvokeLogLevel } from 'app/logging/logger';
 import { userInvoked } from 'app/store/actions';
 import { t } from 'i18next';
-import { get, startCase, upperFirst } from 'lodash-es';
+import { get, startCase, truncate, upperFirst } from 'lodash-es';
 import { LogLevelName } from 'roarr';
 import {
   isAnySessionRejected,
@@ -357,10 +357,13 @@ export const systemSlice = createSlice({
           result.data.error.detail.map((e) => {
             state.toastQueue.push(
               makeToast({
-                title: upperFirst(e.msg),
+                title: truncate(upperFirst(e.msg), { length: 128 }),
                 status: 'error',
-                description: `Path:
-                ${e.loc.slice(3).join('.')}`,
+                description: truncate(
+                  `Path:
+                ${e.loc.join('.')}`,
+                  { length: 128 }
+                ),
                 duration,
               })
             );
@@ -375,7 +378,10 @@ export const systemSlice = createSlice({
         makeToast({
           title: t('toast.serverError'),
           status: 'error',
-          description: get(errorDescription, 'detail', 'Unknown Error'),
+          description: truncate(
+            get(errorDescription, 'detail', 'Unknown Error'),
+            { length: 128 }
+          ),
           duration,
         })
       );

From 1d2636aa901bab79db30ec75f6f9644b2fef11fd Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 8 Sep 2023 10:40:48 +1000
Subject: [PATCH 056/265] feat: ignore unknown args

Do not throw when parsing unknown args, instead parse only known args print the unknown ones (supersedes #4216)
---
 invokeai/app/services/config/base.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/services/config/base.py b/invokeai/app/services/config/base.py
index b83621c708..33fd87b03a 100644
--- a/invokeai/app/services/config/base.py
+++ b/invokeai/app/services/config/base.py
@@ -42,7 +42,9 @@ class InvokeAISettings(BaseSettings):
 
     def parse_args(self, argv: list = sys.argv[1:]):
         parser = self.get_parser()
-        opt = parser.parse_args(argv)
+        opt, unknown_opts = parser.parse_known_args(argv)
+        if len(unknown_opts) > 0:
+            print("Unknown args:", unknown_opts)
         for name in self.__fields__:
             if name not in self._excluded():
                 value = getattr(opt, name)

From 4395ee3c03be9fc17de13f458c3954368d620400 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 8 Sep 2023 10:41:00 +1000
Subject: [PATCH 057/265] feat: parse config before importing anything else

We need to parse the config before doing anything related to invocations to ensure that the invocations union picks up on denied nodes.

- Move that to the top of api_app and cli_app
- Wrap subsequent imports in `if True:`, as a hack to satisfy flake8 and not have to noqa every line or the whole file
- Add tests to ensure graph validation fails when using a denied node, and that the invocations union does not have denied nodes (this indirectly provides confidence that the generated OpenAPI schema will not include denied nodes)
---
 invokeai/app/api_app.py |  76 ++++++++++++++-------------
 invokeai/app/cli_app.py | 113 +++++++++++++++++++---------------------
 tests/test_config.py    |  41 +++++++++++++++
 3 files changed, 135 insertions(+), 95 deletions(-)

diff --git a/invokeai/app/api_app.py b/invokeai/app/api_app.py
index 902af0c02c..93f02b3446 100644
--- a/invokeai/app/api_app.py
+++ b/invokeai/app/api_app.py
@@ -1,45 +1,47 @@
 # Copyright (c) 2022-2023 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
-import asyncio
-import logging
-import socket
-from inspect import signature
-from pathlib import Path
-
-import uvicorn
-from fastapi import FastAPI
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.openapi.docs import get_redoc_html, get_swagger_ui_html
-from fastapi.openapi.utils import get_openapi
-from fastapi.staticfiles import StaticFiles
-from fastapi_events.handlers.local import local_handler
-from fastapi_events.middleware import EventHandlerASGIMiddleware
-from pydantic.schema import schema
-
 from .services.config import InvokeAIAppConfig
-from ..backend.util.logging import InvokeAILogger
-
-from invokeai.version.invokeai_version import __version__
-
-import invokeai.frontend.web as web_dir
-import mimetypes
-
-from .api.dependencies import ApiDependencies
-from .api.routers import sessions, models, images, boards, board_images, app_info
-from .api.sockets import SocketIO
-from .invocations.baseinvocation import BaseInvocation, _InputField, _OutputField, UIConfigBase
-
-import torch
-
-# noinspection PyUnresolvedReferences
-import invokeai.backend.util.hotfixes  # noqa: F401 (monkeypatching on import)
-
-if torch.backends.mps.is_available():
-    # noinspection PyUnresolvedReferences
-    import invokeai.backend.util.mps_fixes  # noqa: F401 (monkeypatching on import)
-
 
+# parse_args() must be called before any other imports. if it is not called first, consumers of the config
+# which are imported/used before parse_args() is called will get the default config values instead of the
+# values from the command line or config file.
 app_config = InvokeAIAppConfig.get_config()
 app_config.parse_args()
+
+if True:  # hack to make flake8 happy with imports coming after setting up the config
+    import asyncio
+    import logging
+    import mimetypes
+    import socket
+    from inspect import signature
+    from pathlib import Path
+
+    import torch
+    import uvicorn
+    from fastapi import FastAPI
+    from fastapi.middleware.cors import CORSMiddleware
+    from fastapi.openapi.docs import get_redoc_html, get_swagger_ui_html
+    from fastapi.openapi.utils import get_openapi
+    from fastapi.staticfiles import StaticFiles
+    from fastapi_events.handlers.local import local_handler
+    from fastapi_events.middleware import EventHandlerASGIMiddleware
+    from pydantic.schema import schema
+
+    # noinspection PyUnresolvedReferences
+    import invokeai.backend.util.hotfixes  # noqa: F401 (monkeypatching on import)
+    import invokeai.frontend.web as web_dir
+    from invokeai.version.invokeai_version import __version__
+
+    from ..backend.util.logging import InvokeAILogger
+    from .api.dependencies import ApiDependencies
+    from .api.routers import app_info, board_images, boards, images, models, sessions
+    from .api.sockets import SocketIO
+    from .invocations.baseinvocation import BaseInvocation, UIConfigBase, _InputField, _OutputField
+
+    if torch.backends.mps.is_available():
+        # noinspection PyUnresolvedReferences
+        import invokeai.backend.util.mps_fixes  # noqa: F401 (monkeypatching on import)
+
+
 logger = InvokeAILogger.getLogger(config=app_config)
 
 # fix for windows mimetypes registry entries being borked
diff --git a/invokeai/app/cli_app.py b/invokeai/app/cli_app.py
index dfde3d1f58..3b8410a88e 100644
--- a/invokeai/app/cli_app.py
+++ b/invokeai/app/cli_app.py
@@ -1,67 +1,64 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
-import argparse
-import re
-import shlex
-import sys
-import time
-from typing import Union, get_type_hints, Optional
-
-from pydantic import BaseModel, ValidationError
-from pydantic.fields import Field
-
-# This should come early so that the logger can pick up its configuration options
 from .services.config import InvokeAIAppConfig
-from invokeai.backend.util.logging import InvokeAILogger
-from invokeai.version.invokeai_version import __version__
-
-
-from invokeai.app.services.board_image_record_storage import (
-    SqliteBoardImageRecordStorage,
-)
-from invokeai.app.services.board_images import (
-    BoardImagesService,
-    BoardImagesServiceDependencies,
-)
-from invokeai.app.services.board_record_storage import SqliteBoardRecordStorage
-from invokeai.app.services.boards import BoardService, BoardServiceDependencies
-from invokeai.app.services.image_record_storage import SqliteImageRecordStorage
-from invokeai.app.services.images import ImageService, ImageServiceDependencies
-from invokeai.app.services.resource_name import SimpleNameService
-from invokeai.app.services.urls import LocalUrlService
-from invokeai.app.services.invocation_stats import InvocationStatsService
-from .services.default_graphs import default_text_to_image_graph_id, create_system_graphs
-from .services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsStorage
-
-from .cli.commands import BaseCommand, CliContext, ExitCli, SortedHelpFormatter, add_graph_parsers, add_parsers
-from .cli.completer import set_autocompleter
-from .invocations.baseinvocation import BaseInvocation
-from .services.events import EventServiceBase
-from .services.graph import (
-    Edge,
-    EdgeConnection,
-    GraphExecutionState,
-    GraphInvocation,
-    LibraryGraph,
-    are_connection_types_compatible,
-)
-from .services.image_file_storage import DiskImageFileStorage
-from .services.invocation_queue import MemoryInvocationQueue
-from .services.invocation_services import InvocationServices
-from .services.invoker import Invoker
-from .services.model_manager_service import ModelManagerService
-from .services.processor import DefaultInvocationProcessor
-from .services.sqlite import SqliteItemStorage
-
-import torch
-import invokeai.backend.util.hotfixes  # noqa: F401 (monkeypatching on import)
-
-if torch.backends.mps.is_available():
-    import invokeai.backend.util.mps_fixes  # noqa: F401 (monkeypatching on import)
-
 
+# parse_args() must be called before any other imports. if it is not called first, consumers of the config
+# which are imported/used before parse_args() is called will get the default config values instead of the
+# values from the command line or config file.
 config = InvokeAIAppConfig.get_config()
 config.parse_args()
+
+if True:  # hack to make flake8 happy with imports coming after setting up the config
+    import argparse
+    import re
+    import shlex
+    import sys
+    import time
+    from typing import Optional, Union, get_type_hints
+
+    import torch
+    from pydantic import BaseModel, ValidationError
+    from pydantic.fields import Field
+
+    import invokeai.backend.util.hotfixes  # noqa: F401 (monkeypatching on import)
+    from invokeai.app.services.board_image_record_storage import SqliteBoardImageRecordStorage
+    from invokeai.app.services.board_images import BoardImagesService, BoardImagesServiceDependencies
+    from invokeai.app.services.board_record_storage import SqliteBoardRecordStorage
+    from invokeai.app.services.boards import BoardService, BoardServiceDependencies
+    from invokeai.app.services.image_record_storage import SqliteImageRecordStorage
+    from invokeai.app.services.images import ImageService, ImageServiceDependencies
+    from invokeai.app.services.invocation_stats import InvocationStatsService
+    from invokeai.app.services.resource_name import SimpleNameService
+    from invokeai.app.services.urls import LocalUrlService
+    from invokeai.backend.util.logging import InvokeAILogger
+    from invokeai.version.invokeai_version import __version__
+
+    from .cli.commands import BaseCommand, CliContext, ExitCli, SortedHelpFormatter, add_graph_parsers, add_parsers
+    from .cli.completer import set_autocompleter
+    from .invocations.baseinvocation import BaseInvocation
+    from .services.default_graphs import create_system_graphs, default_text_to_image_graph_id
+    from .services.events import EventServiceBase
+    from .services.graph import (
+        Edge,
+        EdgeConnection,
+        GraphExecutionState,
+        GraphInvocation,
+        LibraryGraph,
+        are_connection_types_compatible,
+    )
+    from .services.image_file_storage import DiskImageFileStorage
+    from .services.invocation_queue import MemoryInvocationQueue
+    from .services.invocation_services import InvocationServices
+    from .services.invoker import Invoker
+    from .services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsStorage
+    from .services.model_manager_service import ModelManagerService
+    from .services.processor import DefaultInvocationProcessor
+    from .services.sqlite import SqliteItemStorage
+
+    if torch.backends.mps.is_available():
+        import invokeai.backend.util.mps_fixes  # noqa: F401 (monkeypatching on import)
+
+
 logger = InvokeAILogger().getLogger(config=config)
 
 
diff --git a/tests/test_config.py b/tests/test_config.py
index 88da7a02ab..7805be4fd2 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -1,5 +1,6 @@
 import os
 from typing import Any
+from pydantic import ValidationError
 
 import pytest
 from omegaconf import OmegaConf
@@ -147,3 +148,43 @@ def test_type_coercion(patch_rootdir):
     conf.parse_args(argv=["--root=/tmp/foobar"])
     assert conf.root == Path("/tmp/different")
     assert isinstance(conf.root, Path)
+
+
+def test_deny_nodes(patch_rootdir):
+    # Allow integer, string and float, but explicitly deny float
+    allow_deny_nodes_conf = OmegaConf.create(
+        """
+        InvokeAI:
+          Nodes:
+            allow_nodes:
+              - integer
+              - string
+              - float
+            deny_nodes:
+              - float
+        """
+    )
+    # must parse config before importing Graph, so its nodes union uses the config
+    conf = InvokeAIAppConfig().get_config()
+    conf.parse_args(conf=allow_deny_nodes_conf, argv=[])
+    from invokeai.app.services.graph import Graph
+
+    # confirm graph validation fails when using denied node
+    Graph(nodes={"1": {"id": "1", "type": "integer"}})
+    Graph(nodes={"1": {"id": "1", "type": "string"}})
+
+    with pytest.raises(ValidationError):
+        Graph(nodes={"1": {"id": "1", "type": "float"}})
+
+    from invokeai.app.invocations.baseinvocation import BaseInvocation
+
+    # confirm invocations union will not have denied nodes
+    all_invocations = BaseInvocation.get_invocations()
+
+    has_integer = len([i for i in all_invocations if i.__fields__.get("type").default == "integer"]) == 1
+    has_string = len([i for i in all_invocations if i.__fields__.get("type").default == "string"]) == 1
+    has_float = len([i for i in all_invocations if i.__fields__.get("type").default == "float"]) == 1
+
+    assert has_integer
+    assert has_string
+    assert not has_float

From 75bc43b2a53a8dd1e297ebebe5f2b919c4bbd2ea Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 8 Sep 2023 11:17:43 +1000
Subject: [PATCH 058/265] fix(tests): make test_deny_nodes as xfail :(

---
 tests/test_config.py | 18 ++++++++++++++++--
 1 file changed, 16 insertions(+), 2 deletions(-)

diff --git a/tests/test_config.py b/tests/test_config.py
index 7805be4fd2..c8922a9cb3 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -1,10 +1,10 @@
 import os
+from pathlib import Path
 from typing import Any
-from pydantic import ValidationError
 
 import pytest
 from omegaconf import OmegaConf
-from pathlib import Path
+from pydantic import ValidationError
 
 from invokeai.app.services.config import InvokeAIAppConfig
 
@@ -150,6 +150,20 @@ def test_type_coercion(patch_rootdir):
     assert isinstance(conf.root, Path)
 
 
+@pytest.mark.xfail(
+    reason="""
+    This test fails when run as part of the full test suite.
+
+    This test needs to deny nodes from being included in the InvocationsUnion by providing
+    an app configuration as a test fixture. Pytest executes all test files before running
+    tests, so the app configuration is already initialized by the time this test runs.
+
+    This test passes when `test_config.py` is tested in isolation.
+
+    Perhaps a solution would be to call `InvokeAIAppConfig.get_config().parse_args()` in
+    other test files?
+    """
+)
 def test_deny_nodes(patch_rootdir):
     # Allow integer, string and float, but explicitly deny float
     allow_deny_nodes_conf = OmegaConf.create(

From d0a783232625b4fc5122039e0ef6bb479bb22467 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 8 Sep 2023 11:25:51 +1000
Subject: [PATCH 059/265] fix(tests): clarify test_deny_nodes xfail.reason

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

diff --git a/tests/test_config.py b/tests/test_config.py
index c8922a9cb3..3c1646d860 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -156,7 +156,8 @@ def test_type_coercion(patch_rootdir):
 
     This test needs to deny nodes from being included in the InvocationsUnion by providing
     an app configuration as a test fixture. Pytest executes all test files before running
-    tests, so the app configuration is already initialized by the time this test runs.
+    tests, so the app configuration is already initialized by the time this test runs, and
+    the InvocationUnion is already created and the denied nodes are not omitted from it.
 
     This test passes when `test_config.py` is tested in isolation.
 

From 91596d9527a91df18ff7bca86aa9c543022f2277 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 8 Sep 2023 15:39:22 -0400
Subject: [PATCH 060/265] Re-factor IPAdapter to patch UNet in a context
 manager.

---
 invokeai/backend/ip_adapter/ip_adapter.py     | 184 ++++--------------
 .../stable_diffusion/diffusers_pipeline.py    |  37 ++--
 .../diffusion/cross_attention_control.py      |  15 +-
 .../diffusion/shared_invokeai_diffusion.py    |  28 ++-
 4 files changed, 76 insertions(+), 188 deletions(-)

diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 2e0944a969..e173547202 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -1,7 +1,10 @@
 # copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
 #   and modified as needed
 
+from contextlib import contextmanager
+
 import torch
+from diffusers.models import UNet2DConditionModel
 
 # FIXME: Getting errors when trying to use PyTorch 2.0 versions of IPAttnProcessor and AttnProcessor
 #   so for now falling back to the default versions
@@ -38,18 +41,14 @@ class ImageProjModel(torch.nn.Module):
 
 
 class IPAdapter:
-    def __init__(self, sd_pipe, image_encoder_path, ip_ckpt, device, num_tokens=4):
+    def __init__(self, unet: UNet2DConditionModel, image_encoder_path, ip_ckpt, device, num_tokens=4):
+        self._unet = unet
         self.device = device
         self.image_encoder_path = image_encoder_path
         self.ip_ckpt = ip_ckpt
         self.num_tokens = num_tokens
 
-        # FIXME:
-        #  InvokeAI StableDiffusionPipeline has a to() method that isn't meant to be used
-        #     so for now assuming that pipeline is already on the correct device
-        # self.pipe = sd_pipe.to(self.device)
-        self.pipe = sd_pipe
-        self.set_ip_adapter()
+        self._attn_processors = self._prepare_attention_processors()
 
         # load image encoder
         self.image_encoder = CLIPVisionModelWithProjection.from_pretrained(self.image_encoder_path).to(
@@ -63,44 +62,55 @@ class IPAdapter:
 
     def init_proj(self):
         image_proj_model = ImageProjModel(
-            cross_attention_dim=self.pipe.unet.config.cross_attention_dim,
+            cross_attention_dim=self._unet.config.cross_attention_dim,
             clip_embeddings_dim=self.image_encoder.config.projection_dim,
             clip_extra_context_tokens=self.num_tokens,
         ).to(self.device, dtype=torch.float16)
         return image_proj_model
 
-    def set_ip_adapter(self):
-        unet = self.pipe.unet
+    def _prepare_attention_processors(self):
+        """Creates a dict of attention processors that can later be injected into `self.unet`, and loads the IP-Adapter
+        attention weights into them.
+        """
         attn_procs = {}
-        print("Original UNet Attn Processors count:", len(unet.attn_processors))
-        print(unet.attn_processors.keys())
-        for name in unet.attn_processors.keys():
-            cross_attention_dim = None if name.endswith("attn1.processor") else unet.config.cross_attention_dim
+        for name in self._unet.attn_processors.keys():
+            cross_attention_dim = None if name.endswith("attn1.processor") else self._unet.config.cross_attention_dim
             if name.startswith("mid_block"):
-                hidden_size = unet.config.block_out_channels[-1]
+                hidden_size = self._unet.config.block_out_channels[-1]
             elif name.startswith("up_blocks"):
                 block_id = int(name[len("up_blocks.")])
-                hidden_size = list(reversed(unet.config.block_out_channels))[block_id]
+                hidden_size = list(reversed(self._unet.config.block_out_channels))[block_id]
             elif name.startswith("down_blocks"):
                 block_id = int(name[len("down_blocks.")])
-                hidden_size = unet.config.block_out_channels[block_id]
+                hidden_size = self._unet.config.block_out_channels[block_id]
             if cross_attention_dim is None:
                 attn_procs[name] = AttnProcessor()
             else:
-                print("swapping in IPAttnProcessor for", name)
                 attn_procs[name] = IPAttnProcessor(
                     hidden_size=hidden_size,
                     cross_attention_dim=cross_attention_dim,
                     scale=1.0,
                 ).to(self.device, dtype=torch.float16)
-        unet.set_attn_processor(attn_procs)
-        print("Modified UNet Attn Processors count:", len(unet.attn_processors))
-        print(unet.attn_processors.keys())
+        return attn_procs
+
+    @contextmanager
+    def apply_ip_adapter_attention(self):
+        """A context manager that patches `self._unet` with this IP-Adapter's attention processors while it is active.
+
+        Yields:
+            None
+        """
+        orig_attn_processors = self._unet.attn_processors
+        try:
+            self._unet.set_attn_processor(self._attn_processors)
+            yield None
+        finally:
+            self._unet.set_attn_processor(orig_attn_processors)
 
     def load_ip_adapter(self):
         state_dict = torch.load(self.ip_ckpt, map_location="cpu")
         self.image_proj_model.load_state_dict(state_dict["image_proj"])
-        ip_layers = torch.nn.ModuleList(self.pipe.unet.attn_processors.values())
+        ip_layers = torch.nn.ModuleList(self._attn_processors.values())
         ip_layers.load_state_dict(state_dict["ip_adapter"])
 
     @torch.inference_mode()
@@ -114,139 +124,15 @@ class IPAdapter:
         return image_prompt_embeds, uncond_image_prompt_embeds
 
     def set_scale(self, scale):
-        for attn_processor in self.pipe.unet.attn_processors.values():
+        for attn_processor in self._attn_processors.values():
             if isinstance(attn_processor, IPAttnProcessor):
                 attn_processor.scale = scale
 
-    # IPAdapter.generate() method is not used for InvokeAI. Left here for reference:
-    # def generate(
-    #     self,
-    #     pil_image,
-    #     prompt=None,
-    #     negative_prompt=None,
-    #     scale=1.0,
-    #     num_samples=4,
-    #     seed=-1,
-    #     guidance_scale=7.5,
-    #     num_inference_steps=30,
-    #     **kwargs,
-    # ):
-    #     self.set_scale(scale)
-
-    #     if isinstance(pil_image, Image.Image):
-    #         num_prompts = 1
-    #     else:
-    #         num_prompts = len(pil_image)
-
-    #     if prompt is None:
-    #         prompt = "best quality, high quality"
-    #     if negative_prompt is None:
-    #         negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
-
-    #     if not isinstance(prompt, List):
-    #         prompt = [prompt] * num_prompts
-    #     if not isinstance(negative_prompt, List):
-    #         negative_prompt = [negative_prompt] * num_prompts
-
-    #     image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
-    #     bs_embed, seq_len, _ = image_prompt_embeds.shape
-    #     image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
-    #     image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
-    #     uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
-    #     uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
-
-    #     with torch.inference_mode():
-    #         prompt_embeds = self.pipe._encode_prompt(
-    #             prompt,
-    #             device=self.device,
-    #             num_images_per_prompt=num_samples,
-    #             do_classifier_free_guidance=True,
-    #             negative_prompt=negative_prompt,
-    #         )
-    #         negative_prompt_embeds_, prompt_embeds_ = prompt_embeds.chunk(2)
-    #         prompt_embeds = torch.cat([prompt_embeds_, image_prompt_embeds], dim=1)
-    #         negative_prompt_embeds = torch.cat([negative_prompt_embeds_, uncond_image_prompt_embeds], dim=1)
-
-    #     generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
-    #     images = self.pipe(
-    #         prompt_embeds=prompt_embeds,
-    #         negative_prompt_embeds=negative_prompt_embeds,
-    #         guidance_scale=guidance_scale,
-    #         num_inference_steps=num_inference_steps,
-    #         generator=generator,
-    #         **kwargs,
-    #     ).images
-
-    #     return images
-
 
 class IPAdapterXL(IPAdapter):
     """SDXL"""
 
     pass
-    # IPAdapterXL.generate() method is not used for InvokeAI. Left here for reference:
-    # def generate(
-    #     self,
-    #     pil_image,
-    #     prompt=None,
-    #     negative_prompt=None,
-    #     scale=1.0,
-    #     num_samples=4,
-    #     seed=-1,
-    #     num_inference_steps=30,
-    #     **kwargs,
-    # ):
-    #     self.set_scale(scale)
-
-    #     if isinstance(pil_image, Image.Image):
-    #         num_prompts = 1
-    #     else:
-    #         num_prompts = len(pil_image)
-
-    #     if prompt is None:
-    #         prompt = "best quality, high quality"
-    #     if negative_prompt is None:
-    #         negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
-
-    #     if not isinstance(prompt, List):
-    #         prompt = [prompt] * num_prompts
-    #     if not isinstance(negative_prompt, List):
-    #         negative_prompt = [negative_prompt] * num_prompts
-
-    #     image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(pil_image)
-    #     bs_embed, seq_len, _ = image_prompt_embeds.shape
-    #     image_prompt_embeds = image_prompt_embeds.repeat(1, num_samples, 1)
-    #     image_prompt_embeds = image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
-    #     uncond_image_prompt_embeds = uncond_image_prompt_embeds.repeat(1, num_samples, 1)
-    #     uncond_image_prompt_embeds = uncond_image_prompt_embeds.view(bs_embed * num_samples, seq_len, -1)
-
-    #     with torch.inference_mode():
-    #         (
-    #             prompt_embeds,
-    #             negative_prompt_embeds,
-    #             pooled_prompt_embeds,
-    #             negative_pooled_prompt_embeds,
-    #         ) = self.pipe.encode_prompt(
-    #             prompt,
-    #             num_images_per_prompt=num_samples,
-    #             do_classifier_free_guidance=True,
-    #             negative_prompt=negative_prompt,
-    #         )
-    #         prompt_embeds = torch.cat([prompt_embeds, image_prompt_embeds], dim=1)
-    #         negative_prompt_embeds = torch.cat([negative_prompt_embeds, uncond_image_prompt_embeds], dim=1)
-
-    #     generator = torch.Generator(self.device).manual_seed(seed) if seed is not None else None
-    #     images = self.pipe(
-    #         prompt_embeds=prompt_embeds,
-    #         negative_prompt_embeds=negative_prompt_embeds,
-    #         pooled_prompt_embeds=pooled_prompt_embeds,
-    #         negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
-    #         num_inference_steps=num_inference_steps,
-    #         generator=generator,
-    #         **kwargs,
-    #     ).images
-
-    #     return images
 
 
 class IPAdapterPlus(IPAdapter):
@@ -254,13 +140,13 @@ class IPAdapterPlus(IPAdapter):
 
     def init_proj(self):
         image_proj_model = Resampler(
-            dim=self.pipe.unet.config.cross_attention_dim,
+            dim=self._unet.config.cross_attention_dim,
             depth=4,
             dim_head=64,
             heads=12,
             num_queries=self.num_tokens,
             embedding_dim=self.image_encoder.config.hidden_size,
-            output_dim=self.pipe.unet.config.cross_attention_dim,
+            output_dim=self._unet.config.cross_attention_dim,
             ff_mult=4,
         ).to(self.device, dtype=torch.float16)
         return image_proj_model
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 138e3c9cea..66417e56df 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -2,6 +2,7 @@ from __future__ import annotations
 
 import dataclasses
 import inspect
+from contextlib import nullcontext
 from dataclasses import dataclass, field
 from typing import Any, Callable, List, Optional, Union
 
@@ -419,21 +420,14 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
 
         if ip_adapter_data is not None:
             # Initialize IPAdapter
-            # FIXME:
-            #   WARNING!
-            #   IPAdapter constructor modifies UNet model in-place
-            #   Adds additional cross-attention layers to UNet model for image embedding
-            #       need to figure out how to only do this if UNet hasn't already been modified by prior IPAdapter
-            #       and how to undo if ip_adapter_image is removed
-            #   Should reimplement to use existing model management context etc.
-            #
+            # TODO(ryand): Refactor to use model management for the IP-Adapter.
             if "sdxl" in ip_adapter_data.ip_adapter_model:
                 ip_adapter = IPAdapterXL(
-                    self, ip_adapter_data.image_encoder_model, ip_adapter_data.ip_adapter_model, self.unet.device
+                    self.unet, ip_adapter_data.image_encoder_model, ip_adapter_data.ip_adapter_model, self.unet.device
                 )
             elif "plus" in ip_adapter_data.ip_adapter_model:
                 ip_adapter = IPAdapterPlus(
-                    self,  # IPAdapterPlus first arg is StableDiffusionPipeline
+                    self.unet,
                     ip_adapter_data.image_encoder_model,
                     ip_adapter_data.ip_adapter_model,
                     self.unet.device,
@@ -441,7 +435,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 )
             else:
                 ip_adapter = IPAdapter(
-                    self,  # IPAdapter first arg is StableDiffusionPipeline
+                    self.unet,
                     ip_adapter_data.image_encoder_model,
                     ip_adapter_data.ip_adapter_model,
                     self.unet.device,
@@ -454,13 +448,20 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 image_prompt_embeds, uncond_image_prompt_embeds
             )
 
-        # TODO(ryand): Apply IP-Adapter or custom attention control
-        extra_conditioning_info = conditioning_data.extra
-        with self.invokeai_diffuser.custom_attention_context(
-            self.invokeai_diffuser.model,
-            extra_conditioning_info=extra_conditioning_info,
-            step_count=len(self.scheduler.timesteps),
-        ):
+        if conditioning_data.extra is not None and conditioning_data.extra.wants_cross_attention_control:
+            attn_ctx = self.invokeai_diffuser.custom_attention_context(
+                self.invokeai_diffuser.model,
+                extra_conditioning_info=conditioning_data.extra,
+                step_count=len(self.scheduler.timesteps),
+            )
+        elif ip_adapter_data is not None:
+            # TODO(ryand): Should we raise an exception if both custom attention and IP-Adapter attention are active?
+            # As it is now, the IP-Adapter will silently be skipped.
+            attn_ctx = ip_adapter.apply_ip_adapter_attention()
+        else:
+            attn_ctx = nullcontext()
+
+        with attn_ctx:
             if callback is not None:
                 callback(
                     PipelineIntermediateState(
diff --git a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
index 35d4800859..85d1a5ddcd 100644
--- a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
+++ b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
@@ -11,16 +11,17 @@ import diffusers
 import psutil
 import torch
 from compel.cross_attention_control import Arguments
-from diffusers.models.unet_2d_condition import UNet2DConditionModel
-from diffusers.models.attention_processor import AttentionProcessor
 from diffusers.models.attention_processor import (
     Attention,
+    AttentionProcessor,
     AttnProcessor,
     SlicedAttnProcessor,
 )
+from diffusers.models.unet_2d_condition import UNet2DConditionModel
 from torch import nn
 
 import invokeai.backend.util.logging as logger
+
 from ...util import torch_dtype
 
 
@@ -380,10 +381,13 @@ def get_cross_attention_modules(model, which: CrossAttentionType) -> list[tuple[
         # non-fatal error but .swap() won't work.
         logger.error(
             f"Error! CrossAttentionControl found an unexpected number of {cross_attention_class} modules in the model "
-            + f"(expected {expected_count}, found {cross_attention_modules_in_model_count}). Either monkey-patching failed "
+            + f"(expected {expected_count}, found {cross_attention_modules_in_model_count}). Either monkey-patching"
+            " failed "
             + "or some assumption has changed about the structure of the model itself. Please fix the monkey-patching, "
-            + f"and/or update the {expected_count} above to an appropriate number, and/or find and inform someone who knows "
-            + "what it means. This error is non-fatal, but it is likely that .swap() and attention map display will not "
+            + f"and/or update the {expected_count} above to an appropriate number, and/or find and inform someone who"
+            " knows "
+            + "what it means. This error is non-fatal, but it is likely that .swap() and attention map display will"
+            " not "
             + "work properly until it is fixed."
         )
     return attention_module_tuples
@@ -581,6 +585,7 @@ class SlicedSwapCrossAttnProcesser(SlicedAttnProcessor):
         attention_mask=None,
         # kwargs
         swap_cross_attn_context: SwapCrossAttnContext = None,
+        **kwargs,
     ):
         attention_type = CrossAttentionType.SELF if encoder_hidden_states is None else CrossAttentionType.TOKENS
 
diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index 8473fa7bcc..f79f5e2559 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -67,30 +67,26 @@ class InvokeAIDiffuserComponent:
     @contextmanager
     def custom_attention_context(
         self,
-        unet: UNet2DConditionModel,  # note: also may futz with the text encoder depending on requested LoRAs
+        unet: UNet2DConditionModel,
         extra_conditioning_info: Optional[ExtraConditioningInfo],
         step_count: int,
     ):
-        old_attn_processors = None
-        if extra_conditioning_info and (extra_conditioning_info.wants_cross_attention_control):
-            old_attn_processors = unet.attn_processors
-            # Load lora conditions into the model
-            if extra_conditioning_info.wants_cross_attention_control:
-                self.cross_attention_control_context = Context(
-                    arguments=extra_conditioning_info.cross_attention_control_args,
-                    step_count=step_count,
-                )
-                setup_cross_attention_control_attention_processors(
-                    unet,
-                    self.cross_attention_control_context,
-                )
+        old_attn_processors = unet.attn_processors
 
         try:
+            self.cross_attention_control_context = Context(
+                arguments=extra_conditioning_info.cross_attention_control_args,
+                step_count=step_count,
+            )
+            setup_cross_attention_control_attention_processors(
+                unet,
+                self.cross_attention_control_context,
+            )
+
             yield None
         finally:
             self.cross_attention_control_context = None
-            if old_attn_processors is not None:
-                unet.set_attn_processor(old_attn_processors)
+            unet.set_attn_processor(old_attn_processors)
             # TODO resuscitate attention map saving
             # self.remove_attention_map_saving()
 

From 3f7d5b4e0f94e7f48cff8c9c0eb2617d52a012cd Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 8 Sep 2023 15:46:10 -0400
Subject: [PATCH 061/265] Remove redundant IPAdapterXL class.

---
 invokeai/backend/ip_adapter/ip_adapter.py               | 8 ++------
 invokeai/backend/stable_diffusion/diffusers_pipeline.py | 8 ++------
 2 files changed, 4 insertions(+), 12 deletions(-)

diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index e173547202..e4dca8c9a4 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -41,6 +41,8 @@ class ImageProjModel(torch.nn.Module):
 
 
 class IPAdapter:
+    """IP-Adapter: https://arxiv.org/pdf/2308.06721.pdf"""
+
     def __init__(self, unet: UNet2DConditionModel, image_encoder_path, ip_ckpt, device, num_tokens=4):
         self._unet = unet
         self.device = device
@@ -129,12 +131,6 @@ class IPAdapter:
                 attn_processor.scale = scale
 
 
-class IPAdapterXL(IPAdapter):
-    """SDXL"""
-
-    pass
-
-
 class IPAdapterPlus(IPAdapter):
     """IP-Adapter with fine-grained features"""
 
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 66417e56df..f42d99e9bf 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -28,7 +28,7 @@ from pydantic import Field
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
 from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
+from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
 from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
     ConditioningData,
     IPAdapterConditioningInfo,
@@ -421,11 +421,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if ip_adapter_data is not None:
             # Initialize IPAdapter
             # TODO(ryand): Refactor to use model management for the IP-Adapter.
-            if "sdxl" in ip_adapter_data.ip_adapter_model:
-                ip_adapter = IPAdapterXL(
-                    self.unet, ip_adapter_data.image_encoder_model, ip_adapter_data.ip_adapter_model, self.unet.device
-                )
-            elif "plus" in ip_adapter_data.ip_adapter_model:
+            if "plus" in ip_adapter_data.ip_adapter_model:
                 ip_adapter = IPAdapterPlus(
                     self.unet,
                     ip_adapter_data.image_encoder_model,

From 6ca6cf713ca121604104e5ac1d5b9863d7f1b48d Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 8 Sep 2023 16:00:58 -0400
Subject: [PATCH 062/265] Tidy IPAdapter. Add types, improve field/method
 naming.

---
 invokeai/backend/ip_adapter/ip_adapter.py | 73 +++++++++++++----------
 1 file changed, 40 insertions(+), 33 deletions(-)

diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index e4dca8c9a4..9d62ce58a3 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -21,7 +21,7 @@ from .resampler import Resampler
 
 
 class ImageProjModel(torch.nn.Module):
-    """Projection Model"""
+    """Image Projection Model"""
 
     def __init__(self, cross_attention_dim=1024, clip_embeddings_dim=1024, clip_extra_context_tokens=4):
         super().__init__()
@@ -43,31 +43,38 @@ class ImageProjModel(torch.nn.Module):
 class IPAdapter:
     """IP-Adapter: https://arxiv.org/pdf/2308.06721.pdf"""
 
-    def __init__(self, unet: UNet2DConditionModel, image_encoder_path, ip_ckpt, device, num_tokens=4):
+    def __init__(
+        self,
+        unet: UNet2DConditionModel,
+        image_encoder_path: str,
+        ip_adapter_ckpt_path: str,
+        device: torch.device,
+        num_tokens: int = 4,
+    ):
         self._unet = unet
-        self.device = device
-        self.image_encoder_path = image_encoder_path
-        self.ip_ckpt = ip_ckpt
-        self.num_tokens = num_tokens
+        self._device = device
+        self._image_encoder_path = image_encoder_path
+        self._ip_adapter_ckpt_path = ip_adapter_ckpt_path
+        self._num_tokens = num_tokens
 
         self._attn_processors = self._prepare_attention_processors()
 
         # load image encoder
-        self.image_encoder = CLIPVisionModelWithProjection.from_pretrained(self.image_encoder_path).to(
-            self.device, dtype=torch.float16
+        self._image_encoder = CLIPVisionModelWithProjection.from_pretrained(self._image_encoder_path).to(
+            self._device, dtype=torch.float16
         )
-        self.clip_image_processor = CLIPImageProcessor()
+        self._clip_image_processor = CLIPImageProcessor()
         # image proj model
-        self.image_proj_model = self.init_proj()
+        self._image_proj_model = self._init_image_proj_model()
 
-        self.load_ip_adapter()
+        self._load_weights()
 
-    def init_proj(self):
+    def _init_image_proj_model(self):
         image_proj_model = ImageProjModel(
             cross_attention_dim=self._unet.config.cross_attention_dim,
-            clip_embeddings_dim=self.image_encoder.config.projection_dim,
-            clip_extra_context_tokens=self.num_tokens,
-        ).to(self.device, dtype=torch.float16)
+            clip_embeddings_dim=self._image_encoder.config.projection_dim,
+            clip_extra_context_tokens=self._num_tokens,
+        ).to(self._device, dtype=torch.float16)
         return image_proj_model
 
     def _prepare_attention_processors(self):
@@ -92,7 +99,7 @@ class IPAdapter:
                     hidden_size=hidden_size,
                     cross_attention_dim=cross_attention_dim,
                     scale=1.0,
-                ).to(self.device, dtype=torch.float16)
+                ).to(self._device, dtype=torch.float16)
         return attn_procs
 
     @contextmanager
@@ -109,9 +116,9 @@ class IPAdapter:
         finally:
             self._unet.set_attn_processor(orig_attn_processors)
 
-    def load_ip_adapter(self):
-        state_dict = torch.load(self.ip_ckpt, map_location="cpu")
-        self.image_proj_model.load_state_dict(state_dict["image_proj"])
+    def _load_weights(self):
+        state_dict = torch.load(self._ip_adapter_ckpt_path, map_location="cpu")
+        self._image_proj_model.load_state_dict(state_dict["image_proj"])
         ip_layers = torch.nn.ModuleList(self._attn_processors.values())
         ip_layers.load_state_dict(state_dict["ip_adapter"])
 
@@ -119,10 +126,10 @@ class IPAdapter:
     def get_image_embeds(self, pil_image):
         if isinstance(pil_image, Image.Image):
             pil_image = [pil_image]
-        clip_image = self.clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
-        clip_image_embeds = self.image_encoder(clip_image.to(self.device, dtype=torch.float16)).image_embeds
-        image_prompt_embeds = self.image_proj_model(clip_image_embeds)
-        uncond_image_prompt_embeds = self.image_proj_model(torch.zeros_like(clip_image_embeds))
+        clip_image = self._clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
+        clip_image_embeds = self._image_encoder(clip_image.to(self._device, dtype=torch.float16)).image_embeds
+        image_prompt_embeds = self._image_proj_model(clip_image_embeds)
+        uncond_image_prompt_embeds = self._image_proj_model(torch.zeros_like(clip_image_embeds))
         return image_prompt_embeds, uncond_image_prompt_embeds
 
     def set_scale(self, scale):
@@ -134,29 +141,29 @@ class IPAdapter:
 class IPAdapterPlus(IPAdapter):
     """IP-Adapter with fine-grained features"""
 
-    def init_proj(self):
+    def _init_image_proj_model(self):
         image_proj_model = Resampler(
             dim=self._unet.config.cross_attention_dim,
             depth=4,
             dim_head=64,
             heads=12,
-            num_queries=self.num_tokens,
-            embedding_dim=self.image_encoder.config.hidden_size,
+            num_queries=self._num_tokens,
+            embedding_dim=self._image_encoder.config.hidden_size,
             output_dim=self._unet.config.cross_attention_dim,
             ff_mult=4,
-        ).to(self.device, dtype=torch.float16)
+        ).to(self._device, dtype=torch.float16)
         return image_proj_model
 
     @torch.inference_mode()
     def get_image_embeds(self, pil_image):
         if isinstance(pil_image, Image.Image):
             pil_image = [pil_image]
-        clip_image = self.clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
-        clip_image = clip_image.to(self.device, dtype=torch.float16)
-        clip_image_embeds = self.image_encoder(clip_image, output_hidden_states=True).hidden_states[-2]
-        image_prompt_embeds = self.image_proj_model(clip_image_embeds)
-        uncond_clip_image_embeds = self.image_encoder(
+        clip_image = self._clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
+        clip_image = clip_image.to(self._device, dtype=torch.float16)
+        clip_image_embeds = self._image_encoder(clip_image, output_hidden_states=True).hidden_states[-2]
+        image_prompt_embeds = self._image_proj_model(clip_image_embeds)
+        uncond_clip_image_embeds = self._image_encoder(
             torch.zeros_like(clip_image), output_hidden_states=True
         ).hidden_states[-2]
-        uncond_image_prompt_embeds = self.image_proj_model(uncond_clip_image_embeds)
+        uncond_image_prompt_embeds = self._image_proj_model(uncond_clip_image_embeds)
         return image_prompt_embeds, uncond_image_prompt_embeds

From dee6f86d5e737d0662a28b0ffcc6e534bfe35bb1 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 8 Sep 2023 16:14:17 -0400
Subject: [PATCH 063/265] Set 'title' for IP-Adapter fields with non-default
 names.

---
 invokeai/app/invocations/ip_adapter.py | 6 ++++--
 invokeai/app/invocations/latent.py     | 2 +-
 2 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index b76b4429df..d73941c376 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -42,7 +42,7 @@ class IPAdapterField(BaseModel):
 @invocation_output("ip_adapter_output")
 class IPAdapterOutput(BaseInvocationOutput):
     # Outputs
-    ip_adapter: IPAdapterField = OutputField(description=FieldDescriptions.ip_adapter)
+    ip_adapter: IPAdapterField = OutputField(description=FieldDescriptions.ip_adapter, title="IP-Adapter")
 
 
 @invocation("ip_adapter", title="IP-Adapter", tags=["ip_adapter", "control"], category="ip_adapter", version="1.0.0")
@@ -52,7 +52,9 @@ class IPAdapterInvocation(BaseInvocation):
     # Inputs
     image: ImageField = InputField(description="The IP-Adapter image prompt.")
     ip_adapter_model: IP_ADAPTER_MODELS = InputField(
-        default="models/core/ip_adapters/sd-1/ip-adapter_sd15.bin", description="The name of the IP-Adapter model."
+        default="models/core/ip_adapters/sd-1/ip-adapter_sd15.bin",
+        description="The name of the IP-Adapter model.",
+        title="IP-Adapter Model",
     )
     image_encoder_model: IP_ADAPTER_IMAGE_ENCODER_MODELS = InputField(
         default="models/core/ip_adapters/sd-1/image_encoder/", description="The name of the CLIP image encoder model."
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 6bb216eee3..fbad7a8988 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -222,7 +222,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
         ui_order=5,
     )
     ip_adapter: Optional[IPAdapterField] = InputField(
-        description=FieldDescriptions.ip_adapter, default=None, input=Input.Connection, ui_order=6
+        description=FieldDescriptions.ip_adapter, title="IP-Adapter", default=None, input=Input.Connection, ui_order=6
     )
     latents: Optional[LatentsField] = InputField(description=FieldDescriptions.latents, input=Input.Connection)
     denoise_mask: Optional[DenoiseMaskField] = InputField(

From 2630fe360831708d712ef760bb05b18b329bb538 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 8 Sep 2023 16:25:34 -0400
Subject: [PATCH 064/265] Remove unused ip_adapter/utils.py file.

---
 invokeai/backend/ip_adapter/utils.py | 366 ---------------------------
 1 file changed, 366 deletions(-)
 delete mode 100644 invokeai/backend/ip_adapter/utils.py

diff --git a/invokeai/backend/ip_adapter/utils.py b/invokeai/backend/ip_adapter/utils.py
deleted file mode 100644
index b500fd2570..0000000000
--- a/invokeai/backend/ip_adapter/utils.py
+++ /dev/null
@@ -1,366 +0,0 @@
-# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
-#   and modified as needed
-
-from typing import Any, Callable, Dict, List, Optional, Union
-
-import numpy as np
-import PIL.Image
-import torch
-import torch.nn.functional as F
-from diffusers.models import ControlNetModel
-from diffusers.pipelines.controlnet.multicontrolnet import MultiControlNetModel
-from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
-from diffusers.utils import is_compiled_module
-
-
-def is_torch2_available():
-    return hasattr(F, "scaled_dot_product_attention")
-
-
-@torch.no_grad()
-def generate(
-    self,
-    prompt: Union[str, List[str], None] = None,
-    image: Union[
-        torch.FloatTensor,
-        PIL.Image.Image,
-        np.ndarray,
-        List[torch.FloatTensor],
-        List[PIL.Image.Image],
-        List[np.ndarray],
-        None,
-    ] = None,
-    height: Optional[int] = None,
-    width: Optional[int] = None,
-    num_inference_steps: int = 50,
-    guidance_scale: float = 7.5,
-    negative_prompt: Optional[Union[str, List[str]]] = None,
-    num_images_per_prompt: Optional[int] = 1,
-    eta: float = 0.0,
-    generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
-    latents: Optional[torch.FloatTensor] = None,
-    prompt_embeds: Optional[torch.FloatTensor] = None,
-    negative_prompt_embeds: Optional[torch.FloatTensor] = None,
-    output_type: Optional[str] = "pil",
-    return_dict: bool = True,
-    callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-    callback_steps: int = 1,
-    cross_attention_kwargs: Optional[Dict[str, Any]] = None,
-    controlnet_conditioning_scale: Union[float, List[float]] = 1.0,
-    guess_mode: bool = False,
-    control_guidance_start: Union[float, List[float]] = 0.0,
-    control_guidance_end: Union[float, List[float]] = 1.0,
-):
-    r"""
-    Function invoked when calling the pipeline for generation.
-
-    Args:
-        prompt (`str` or `List[str]`, *optional*):
-            The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`.
-            instead.
-        image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`,
-        `List[np.ndarray]`,:
-                `List[List[torch.FloatTensor]]`, `List[List[np.ndarray]]` or `List[List[PIL.Image.Image]]`):
-            The ControlNet input condition. ControlNet uses this input condition to generate guidance to Unet. If
-            the type is specified as `Torch.FloatTensor`, it is passed to ControlNet as is. `PIL.Image.Image` can
-            also be accepted as an image. The dimensions of the output image defaults to `image`'s dimensions. If
-            height and/or width are passed, `image` is resized according to them. If multiple ControlNets are
-            specified in init, images must be passed as a list such that each element of the list can be correctly
-            batched for input to a single controlnet.
-        height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
-            The height in pixels of the generated image.
-        width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
-            The width in pixels of the generated image.
-        num_inference_steps (`int`, *optional*, defaults to 50):
-            The number of denoising steps. More denoising steps usually lead to a higher quality image at the
-            expense of slower inference.
-        guidance_scale (`float`, *optional*, defaults to 7.5):
-            Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
-            `guidance_scale` is defined as `w` of equation 2. of [Imagen
-            Paper](https://arxiv.org/pdf/2205.11487.pdf). Guidance scale is enabled by setting `guidance_scale >
-            1`. Higher guidance scale encourages to generate images that are closely linked to the text `prompt`,
-            usually at the expense of lower image quality.
-        negative_prompt (`str` or `List[str]`, *optional*):
-            The prompt or prompts not to guide the image generation. If not defined, one has to pass
-            `negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `guidance_scale` is
-            less than `1`).
-        num_images_per_prompt (`int`, *optional*, defaults to 1):
-            The number of images to generate per prompt.
-        eta (`float`, *optional*, defaults to 0.0):
-            Corresponds to parameter eta (η) in the DDIM paper: https://arxiv.org/abs/2010.02502. Only applies to
-            [`schedulers.DDIMScheduler`], will be ignored for others.
-        generator (`torch.Generator` or `List[torch.Generator]`, *optional*):
-            One or a list of [torch generator(s)](https://pytorch.org/docs/stable/generated/torch.Generator.html)
-            to make generation deterministic.
-        latents (`torch.FloatTensor`, *optional*):
-            Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image
-            generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
-            tensor will ge generated by sampling using the supplied random `generator`.
-        prompt_embeds (`torch.FloatTensor`, *optional*):
-            Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
-            provided, text embeddings will be generated from `prompt` input argument.
-        negative_prompt_embeds (`torch.FloatTensor`, *optional*):
-            Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
-            weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
-            argument.
-        output_type (`str`, *optional*, defaults to `"pil"`):
-            The output format of the generate image. Choose between
-            [PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
-        return_dict (`bool`, *optional*, defaults to `True`):
-            Whether or not to return a [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] instead of a
-            plain tuple.
-        callback (`Callable`, *optional*):
-            A function that will be called every `callback_steps` steps during inference. The function will be
-            called with the following arguments: `callback(step: int, timestep: int, latents: torch.FloatTensor)`.
-        callback_steps (`int`, *optional*, defaults to 1):
-            The frequency at which the `callback` function will be called. If not specified, the callback will be
-            called at every step.
-        cross_attention_kwargs (`dict`, *optional*):
-            A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
-            `self.processor` in
-            [diffusers.models.attention_processor](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py).
-        controlnet_conditioning_scale (`float` or `List[float]`, *optional*, defaults to 1.0):
-            The outputs of the controlnet are multiplied by `controlnet_conditioning_scale` before they are added
-            to the residual in the original unet. If multiple ControlNets are specified in init, you can set the
-            corresponding scale as a list.
-        guess_mode (`bool`, *optional*, defaults to `False`):
-            In this mode, the ControlNet encoder will try best to recognize the content of the input image even if
-            you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended.
-        control_guidance_start (`float` or `List[float]`, *optional*, defaults to 0.0):
-            The percentage of total steps at which the controlnet starts applying.
-        control_guidance_end (`float` or `List[float]`, *optional*, defaults to 1.0):
-            The percentage of total steps at which the controlnet stops applying.
-
-    Examples:
-
-    Returns:
-        [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] or `tuple`:
-        [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] if `return_dict` is True, otherwise a `tuple.
-        When returning a tuple, the first element is a list with the generated images, and the second element is a
-        list of `bool`s denoting whether the corresponding generated image likely represents "not-safe-for-work"
-        (nsfw) content, according to the `safety_checker`.
-    """
-    controlnet = self.controlnet._orig_mod if is_compiled_module(self.controlnet) else self.controlnet
-
-    # align format for control guidance
-    if not isinstance(control_guidance_start, list) and isinstance(control_guidance_end, list):
-        control_guidance_start = len(control_guidance_end) * [control_guidance_start]
-    elif not isinstance(control_guidance_end, list) and isinstance(control_guidance_start, list):
-        control_guidance_end = len(control_guidance_start) * [control_guidance_end]
-    elif not isinstance(control_guidance_start, list) and not isinstance(control_guidance_end, list):
-        mult = len(controlnet.nets) if isinstance(controlnet, MultiControlNetModel) else 1
-        control_guidance_start, control_guidance_end = mult * [control_guidance_start], mult * [control_guidance_end]
-
-    # 1. Check inputs. Raise error if not correct
-    self.check_inputs(
-        prompt,
-        image,
-        callback_steps,
-        negative_prompt,
-        prompt_embeds,
-        negative_prompt_embeds,
-        controlnet_conditioning_scale,
-        control_guidance_start,
-        control_guidance_end,
-    )
-
-    # 2. Define call parameters
-    if prompt is not None and isinstance(prompt, str):
-        batch_size = 1
-    elif prompt is not None and isinstance(prompt, list):
-        batch_size = len(prompt)
-    else:
-        batch_size = prompt_embeds.shape[0]
-
-    device = self._execution_device
-    # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2)
-    # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1`
-    # corresponds to doing no classifier free guidance.
-    do_classifier_free_guidance = guidance_scale > 1.0
-
-    if isinstance(controlnet, MultiControlNetModel) and isinstance(controlnet_conditioning_scale, float):
-        controlnet_conditioning_scale = [controlnet_conditioning_scale] * len(controlnet.nets)
-
-    global_pool_conditions = (
-        controlnet.config.global_pool_conditions
-        if isinstance(controlnet, ControlNetModel)
-        else controlnet.nets[0].config.global_pool_conditions
-    )
-    guess_mode = guess_mode or global_pool_conditions
-
-    # 3. Encode input prompt
-    text_encoder_lora_scale = cross_attention_kwargs.get("scale", None) if cross_attention_kwargs is not None else None
-    prompt_embeds = self._encode_prompt(
-        prompt,
-        device,
-        num_images_per_prompt,
-        do_classifier_free_guidance,
-        negative_prompt,
-        prompt_embeds=prompt_embeds,
-        negative_prompt_embeds=negative_prompt_embeds,
-        lora_scale=text_encoder_lora_scale,
-    )
-
-    # 4. Prepare image
-    if isinstance(controlnet, ControlNetModel):
-        image = self.prepare_image(
-            image=image,
-            width=width,
-            height=height,
-            batch_size=batch_size * num_images_per_prompt,
-            num_images_per_prompt=num_images_per_prompt,
-            device=device,
-            dtype=controlnet.dtype,
-            do_classifier_free_guidance=do_classifier_free_guidance,
-            guess_mode=guess_mode,
-        )
-        height, width = image.shape[-2:]
-    elif isinstance(controlnet, MultiControlNetModel):
-        images = []
-
-        for image_ in image:
-            image_ = self.prepare_image(
-                image=image_,
-                width=width,
-                height=height,
-                batch_size=batch_size * num_images_per_prompt,
-                num_images_per_prompt=num_images_per_prompt,
-                device=device,
-                dtype=controlnet.dtype,
-                do_classifier_free_guidance=do_classifier_free_guidance,
-                guess_mode=guess_mode,
-            )
-
-            images.append(image_)
-
-        image = images
-        height, width = image[0].shape[-2:]
-    else:
-        assert False
-
-    # 5. Prepare timesteps
-    self.scheduler.set_timesteps(num_inference_steps, device=device)
-    timesteps = self.scheduler.timesteps
-
-    # 6. Prepare latent variables
-    num_channels_latents = self.unet.config.in_channels
-    latents = self.prepare_latents(
-        batch_size * num_images_per_prompt,
-        num_channels_latents,
-        height,
-        width,
-        prompt_embeds.dtype,
-        device,
-        generator,
-        latents,
-    )
-
-    # 7. Prepare extra step kwargs. TODO: Logic should ideally just be moved out of the pipeline
-    extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
-
-    # 7.1 Create tensor stating which controlnets to keep
-    controlnet_keep = []
-    for i in range(len(timesteps)):
-        keeps = [
-            1.0 - float(i / len(timesteps) < s or (i + 1) / len(timesteps) > e)
-            for s, e in zip(control_guidance_start, control_guidance_end)
-        ]
-        controlnet_keep.append(keeps[0] if isinstance(controlnet, ControlNetModel) else keeps)
-
-    # 8. Denoising loop
-    num_warmup_steps = len(timesteps) - num_inference_steps * self.scheduler.order
-    with self.progress_bar(total=num_inference_steps) as progress_bar:
-        for i, t in enumerate(timesteps):
-            # expand the latents if we are doing classifier free guidance
-            latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
-            latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
-
-            # controlnet(s) inference
-            if guess_mode and do_classifier_free_guidance:
-                # Infer ControlNet only for the conditional batch.
-                control_model_input = latents
-                control_model_input = self.scheduler.scale_model_input(control_model_input, t)
-                controlnet_prompt_embeds = prompt_embeds[:, :77, :].chunk(2)[1]
-            else:
-                control_model_input = latent_model_input
-                controlnet_prompt_embeds = prompt_embeds[:, :77, :]
-
-            if isinstance(controlnet_keep[i], list):
-                cond_scale = [c * s for c, s in zip(controlnet_conditioning_scale, controlnet_keep[i])]
-            else:
-                controlnet_cond_scale = controlnet_conditioning_scale
-                if isinstance(controlnet_cond_scale, list):
-                    controlnet_cond_scale = controlnet_cond_scale[0]
-                cond_scale = controlnet_cond_scale * controlnet_keep[i]
-
-            down_block_res_samples, mid_block_res_sample = self.controlnet(
-                control_model_input,
-                t,
-                encoder_hidden_states=controlnet_prompt_embeds,
-                controlnet_cond=image,
-                conditioning_scale=cond_scale,
-                guess_mode=guess_mode,
-                return_dict=False,
-            )
-
-            if guess_mode and do_classifier_free_guidance:
-                # Infered ControlNet only for the conditional batch.
-                # To apply the output of ControlNet to both the unconditional and conditional batches,
-                # add 0 to the unconditional batch to keep it unchanged.
-                down_block_res_samples = [torch.cat([torch.zeros_like(d), d]) for d in down_block_res_samples]
-                mid_block_res_sample = torch.cat([torch.zeros_like(mid_block_res_sample), mid_block_res_sample])
-
-            # predict the noise residual
-            noise_pred = self.unet(
-                latent_model_input,
-                t,
-                encoder_hidden_states=prompt_embeds,
-                cross_attention_kwargs=cross_attention_kwargs,
-                down_block_additional_residuals=down_block_res_samples,
-                mid_block_additional_residual=mid_block_res_sample,
-                return_dict=False,
-            )[0]
-
-            # perform guidance
-            if do_classifier_free_guidance:
-                noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
-                noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
-
-            # compute the previous noisy sample x_t -> x_t-1
-            latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
-
-            # call the callback, if provided
-            if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):
-                progress_bar.update()
-                if callback is not None and i % callback_steps == 0:
-                    callback(i, t, latents)
-
-    # If we do sequential model offloading, let's offload unet and controlnet
-    # manually for max memory savings
-    if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
-        self.unet.to("cpu")
-        self.controlnet.to("cpu")
-        torch.cuda.empty_cache()
-
-    if not output_type == "latent":
-        image = self.vae.decode(latents / self.vae.config.scaling_factor, return_dict=False)[0]
-        image, has_nsfw_concept = self.run_safety_checker(image, device, prompt_embeds.dtype)
-    else:
-        image = latents
-        has_nsfw_concept = None
-
-    if has_nsfw_concept is None:
-        do_denormalize = [True] * image.shape[0]
-    else:
-        do_denormalize = [not has_nsfw for has_nsfw in has_nsfw_concept]
-
-    image = self.image_processor.postprocess(image, output_type=output_type, do_denormalize=do_denormalize)
-
-    # Offload last model to CPU
-    if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
-        self.final_offload_hook.offload()
-
-    if not return_dict:
-        return (image, has_nsfw_concept)
-
-    return StableDiffusionPipelineOutput(images=image, nsfw_content_detected=has_nsfw_concept)

From a255624984fdd57d4a4fe8689334a4d9c5434609 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 8 Sep 2023 17:55:23 -0400
Subject: [PATCH 065/265] black

---
 .../diffusion/cross_attention_control.py            | 13 +++++--------
 1 file changed, 5 insertions(+), 8 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
index 85d1a5ddcd..89cf72db12 100644
--- a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
+++ b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
@@ -381,14 +381,11 @@ def get_cross_attention_modules(model, which: CrossAttentionType) -> list[tuple[
         # non-fatal error but .swap() won't work.
         logger.error(
             f"Error! CrossAttentionControl found an unexpected number of {cross_attention_class} modules in the model "
-            + f"(expected {expected_count}, found {cross_attention_modules_in_model_count}). Either monkey-patching"
-            " failed "
-            + "or some assumption has changed about the structure of the model itself. Please fix the monkey-patching, "
-            + f"and/or update the {expected_count} above to an appropriate number, and/or find and inform someone who"
-            " knows "
-            + "what it means. This error is non-fatal, but it is likely that .swap() and attention map display will"
-            " not "
-            + "work properly until it is fixed."
+            f"(expected {expected_count}, found {cross_attention_modules_in_model_count}). Either monkey-patching "
+            "failed or some assumption has changed about the structure of the model itself. Please fix the "
+            f"monkey-patching, and/or update the {expected_count} above to an appropriate number, and/or find and "
+            "inform someone who knows what it means. This error is non-fatal, but it is likely that .swap() and "
+            "attention map display will not work properly until it is fixed."
         )
     return attention_module_tuples
 

From 50a06915141759bb18ca00c4bdcf25a5112a5a89 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 8 Sep 2023 18:05:31 -0400
Subject: [PATCH 066/265] flake8

---
 invokeai/backend/stable_diffusion/diffusers_pipeline.py       | 4 +---
 .../backend/stable_diffusion/diffusion/conditioning_data.py   | 4 ++--
 2 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index f42d99e9bf..a7bbfb23e2 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -1,9 +1,7 @@
 from __future__ import annotations
 
-import dataclasses
-import inspect
 from contextlib import nullcontext
-from dataclasses import dataclass, field
+from dataclasses import dataclass
 from typing import Any, Callable, List, Optional, Union
 
 import einops
diff --git a/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
index 083d925899..a8398e58ff 100644
--- a/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
+++ b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py
@@ -55,11 +55,11 @@ class PostprocessingSettings:
 class IPAdapterConditioningInfo:
     cond_image_prompt_embeds: torch.Tensor
     """IP-Adapter image encoder conditioning embeddings.
-    Shape: (batch_size, num_tokens, encoding_dim). Typically: (1, 4, 1024) TODO(ryand): confirm 
+    Shape: (batch_size, num_tokens, encoding_dim).
     """
     uncond_image_prompt_embeds: torch.Tensor
     """IP-Adapter image encoding embeddings to use for unconditional generation.
-     Shape: (batch_size, num_tokens, encoding_dim). Typically: (1, 4, 1024) TODO(ryand): confirm 
+    Shape: (batch_size, num_tokens, encoding_dim).
     """
 
 

From e060fef54032d6d7fe0f9cac50ce3fb9041db653 Mon Sep 17 00:00:00 2001
From: Mary Hipp Rogers <maryhipp@gmail.com>
Date: Mon, 11 Sep 2023 11:11:32 -0400
Subject: [PATCH 067/265] dont try to load image at all if
 shouldFetchMetadataFromApi (#4511)

Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
---
 .../web/src/services/api/endpoints/images.ts  | 64 +++++++++----------
 1 file changed, 32 insertions(+), 32 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index 4f4e3e1391..cb7a38c14f 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -130,37 +130,8 @@ export const imagesApi = api.injectEndpoints({
         extraOptions,
         fetchWithBaseQuery
       ) => {
-        const authToken = $authToken.get();
-        const projectId = $projectId.get();
-        const customBaseQuery = fetchBaseQuery({
-          baseUrl: '',
-          prepareHeaders: (headers) => {
-            if (authToken) {
-              headers.set('Authorization', `Bearer ${authToken}`);
-            }
-            if (projectId) {
-              headers.set('project-id', projectId);
-            }
-
-            return headers;
-          },
-          responseHandler: async (res) => {
-            return await res.blob();
-          },
-        });
-
-        const response = await customBaseQuery(
-          args.image.image_url,
-          api,
-          extraOptions
-        );
-        const blobData = await getMetadataAndWorkflowFromImageBlob(
-          response.data as Blob
-        );
-
-        let metadata = blobData.metadata;
-
         if (args.shouldFetchMetadataFromApi) {
+          let metadata;
           const metadataResponse = await fetchWithBaseQuery(
             `images/i/${args.image.image_name}/metadata`
           );
@@ -173,9 +144,38 @@ export const imagesApi = api.injectEndpoints({
               metadata = metadataResult.data;
             }
           }
-        }
+          return { data: { metadata } };
+        } else {
+          const authToken = $authToken.get();
+          const projectId = $projectId.get();
+          const customBaseQuery = fetchBaseQuery({
+            baseUrl: '',
+            prepareHeaders: (headers) => {
+              if (authToken) {
+                headers.set('Authorization', `Bearer ${authToken}`);
+              }
+              if (projectId) {
+                headers.set('project-id', projectId);
+              }
 
-        return { data: { ...blobData, metadata } };
+              return headers;
+            },
+            responseHandler: async (res) => {
+              return await res.blob();
+            },
+          });
+
+          const response = await customBaseQuery(
+            args.image.image_url,
+            api,
+            extraOptions
+          );
+          const data = await getMetadataAndWorkflowFromImageBlob(
+            response.data as Blob
+          );
+
+          return { data };
+        }
       },
       providesTags: (result, error, { image }) => [
         { type: 'ImageMetadataFromFile', id: image.image_name },

From e94dc47d56d4fbf2c2539d119e3824889676eb17 Mon Sep 17 00:00:00 2001
From: Millun Atluri <Millu@users.noreply.github.com>
Date: Tue, 5 Sep 2023 13:45:31 +1000
Subject: [PATCH 068/265] Update contributingNodes.md with correct information

---
 docs/nodes/contributingNodes.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/nodes/contributingNodes.md b/docs/nodes/contributingNodes.md
index a34d429cd8..1c0ce812c5 100644
--- a/docs/nodes/contributingNodes.md
+++ b/docs/nodes/contributingNodes.md
@@ -4,10 +4,10 @@ To learn about the specifics of creating a new node, please visit our [Node crea
 
 Once you’ve created a node and confirmed that it behaves as expected locally, follow these steps: 
 
-- Make sure the node is contained in a new Python (.py) file 
-- Submit a pull request with a link to your node in GitHub against the `nodes` branch to add the node to the [Community Nodes](Community Nodes) list
-    - Make sure you are following the template below and have provided all relevant details about the node and what it does.
-- A maintainer will review the pull request and node. If the node is aligned with the direction of the project, you might be asked for permission to include it in the core project.
+- Make sure the node is contained in a new Python (.py) file. Preferrably, the node is in a repo with a README detaling the nodes usage & examples to help others more easily use your node.
+- Submit a pull request with a link to your node(s) repo in GitHub against the `main` branch to add the node to the [Community Nodes](Community Nodes) list
+    - Make sure you are following the template below and have provided all relevant details about the node and what it does. Example output images and workflows are very helpful for other users looking to use your node.
+- A maintainer will review the pull request and node. If the node is aligned with the direction of the project, you may be asked for permission to include it in the core project.
 
 ### Community Node Template
 

From 17891ae7031f3102f9adc480f0879ef1c75b9852 Mon Sep 17 00:00:00 2001
From: Millun Atluri <Millu@users.noreply.github.com>
Date: Tue, 5 Sep 2023 13:53:29 +1000
Subject: [PATCH 069/265] Update communityNodes.md info

---
 docs/nodes/communityNodes.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/nodes/communityNodes.md b/docs/nodes/communityNodes.md
index c7456fcd4b..a904d67e71 100644
--- a/docs/nodes/communityNodes.md
+++ b/docs/nodes/communityNodes.md
@@ -4,9 +4,9 @@ These are nodes that have been developed by the community, for the community. If
 
 If you'd like to submit a node for the community, please refer to the [node creation overview](contributingNodes.md).
 
-To download a node, simply download the `.py` node file from the link and add it to the `invokeai/app/invocations` folder in your Invoke AI install location. Along with the node, an example node graph should be provided to help you get started with the node. 
+To download a node, simply download the `.py` node file from the link and add it to the `invokeai/app/invocations` folder in your Invoke AI install location's `.venv` folder. Along with the node, an example node graph should be provided to help you get started with the node. 
 
-To use a community node graph, download the the `.json` node graph file and load it into Invoke AI via the **Load Nodes** button on the Node Editor. 
+To use a community workflow, download the the `.json` node graph file and load it into Invoke AI via the **Load Workflow** button in the Workflow Editor. 
 
 ## Community Nodes
 

From c82ea5a812cf79378c950d52b0b253919e909235 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Wed, 6 Sep 2023 11:13:10 +1000
Subject: [PATCH 070/265] SDXL prompting

---
 .../sdxl-prompt-concatenated.png              | Bin 0 -> 65822 bytes
 docs/assets/prompt_syntax/sdxl-prompt.png     | Bin 0 -> 42462 bytes
 docs/features/PROMPTS.md                      |  37 +++++++++++++++++-
 docs/installation/INSTALLATION.md             |   2 +-
 4 files changed, 36 insertions(+), 3 deletions(-)
 create mode 100644 docs/assets/prompt_syntax/sdxl-prompt-concatenated.png
 create mode 100644 docs/assets/prompt_syntax/sdxl-prompt.png

diff --git a/docs/assets/prompt_syntax/sdxl-prompt-concatenated.png b/docs/assets/prompt_syntax/sdxl-prompt-concatenated.png
new file mode 100644
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diff --git a/docs/features/PROMPTS.md b/docs/features/PROMPTS.md
index 66af903072..be11e4cce6 100644
--- a/docs/features/PROMPTS.md
+++ b/docs/features/PROMPTS.md
@@ -142,7 +142,7 @@ Prompt2prompt `.swap()` is not compatible with xformers, which will be temporari
 The `prompt2prompt` code is based off
 [bloc97's colab](https://github.com/bloc97/CrossAttentionControl).
 
-### Escaping parentheses () and speech marks ""
+### Escaping parentheses and speech marks 
 
 If the model you are using has parentheses () or speech marks "" as part of its
 syntax, you will need to "escape" these using a backslash, so that`(my_keyword)`
@@ -246,7 +246,7 @@ To create a Dynamic Prompt, follow these steps:
     Within the braces, separate each option using a vertical bar |.
     If you want to include multiple options from a single group, prefix with the desired number and $$.
 
-For instance: A {house|apartment|lodge|cottage} in {summer|winter|autumn|spring} designed in {2$$style1|style2|style3}.
+For instance: A {house|apartment|lodge|cottage} in {summer|winter|autumn|spring} designed in {style1|style2|style3}.
 ### How Dynamic Prompts Work
 
 Once a Dynamic Prompt is configured, the system generates an array of combinations using the options provided. Each group of options in curly braces is treated independently, with the system selecting one option from each group. For a prefixed set (e.g., 2$$), the system will select two distinct options.
@@ -273,3 +273,36 @@ Below are some useful strategies for creating Dynamic Prompts:
     Experiment with different quantities for the prefix. For example, 3$$ will select three distinct options.
     Be aware of coherence in your prompts. Although the system can generate all possible combinations, not all may semantically make sense. Therefore, carefully choose the options for each group.
     Always review and fine-tune the generated prompts as needed. While Dynamic Prompts can help you generate a multitude of combinations, the final polishing and refining remain in your hands.
+
+
+## SDXL Prompting
+
+Prompting with SDXL is slightly different than prompting with SD1.5 or SD2.1 models - SDXL expects a prompt _and_ a style. 
+
+
+### Prompting 
+<figure markdown>
+
+![SDXL prompt boxes in InvokeAI](../assets/prompt_syntax/sdxl-prompt.png)
+
+</figure>
+
+In the prompt box, enter a positive or negative prompt as you normally would. 
+
+For the style box you can enter a style that you want the image to be generated in. You can use styles from this example list, or any other style you wish: anime, photographic, digital art, comic book, fantasy art, analog film, neon punk, isometric, low poly, origami, line art, cinematic, 3d model, pixel art, etc.
+
+
+### Concatenated Prompts
+
+
+InvokeAI also has the option to concatenate the prompt and style inputs, by pressing the "link" button in the Positive Prompt box. 
+
+This concatenates the prompt & style inputs, and passes the joined prompt and style to the SDXL model. 
+![SDXL concatenated prompt boxes in InvokeAI](../assets/prompt_syntax/sdxl-prompt-concatenated.png)
+
+
+
+
+
+
+
diff --git a/docs/installation/INSTALLATION.md b/docs/installation/INSTALLATION.md
index ec5e2492b6..3b5419e7eb 100644
--- a/docs/installation/INSTALLATION.md
+++ b/docs/installation/INSTALLATION.md
@@ -17,7 +17,7 @@ This fork is supported across Linux, Windows and Macintosh. Linux users can use
 either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm
 driver).
 
-### [Installation Getting Started Guide](installation)
+### Installation Getting Started Guide
 #### **[Automated Installer](010_INSTALL_AUTOMATED.md)**
 ✅ This is the recommended installation method for first-time users. 
 #### [Manual Installation](020_INSTALL_MANUAL.md)

From f6ced9f54bf539bb90a2b900f1059ccb4754e7ca Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Wed, 6 Sep 2023 11:13:29 +1000
Subject: [PATCH 071/265] new contributor docs

---
 docs/contributing/CONTRIBUTING.md             |  4 +-
 .../contributingToFrontend.md                 |  0
 .../contribution_guides/development.md        | 51 +------------
 .../newContributorChecklist.md                | 71 +++++++++++++++++++
 mkdocs.yml                                    |  2 +-
 5 files changed, 75 insertions(+), 53 deletions(-)
 rename docs/contributing/contribution_guides/{development_guides => }/contributingToFrontend.md (100%)
 create mode 100644 docs/contributing/contribution_guides/newContributorChecklist.md

diff --git a/docs/contributing/CONTRIBUTING.md b/docs/contributing/CONTRIBUTING.md
index 29fea1cf59..748d843bbb 100644
--- a/docs/contributing/CONTRIBUTING.md
+++ b/docs/contributing/CONTRIBUTING.md
@@ -12,10 +12,10 @@ To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the
 ### Areas of contribution: 
 
 #### Development
-If you’d like to help with development, please see our [development guide](contribution_guides/development.md). If you’re unfamiliar with contributing to open source projects, there is a tutorial contained within the development guide.
+If you’d like to help with development, please see our [development guide](contribution_guides/development.md). If you’re unfamiliar with contributing to open source projects, take a look at our [new contributor guide](contribution_guides/newContributorChecklist.md).
 
 #### Nodes
-If you’d like to help with development, please see our [nodes contribution guide](/nodes/contributingNodes). If you’re unfamiliar with contributing to open source projects, there is a tutorial contained within the development guide.
+If you’d like to add a Node, please see our [nodes contribution guide](../nodes/contributingNodes.md).
 
 #### Documentation
 If you’d like to help with documentation, please see our [documentation guide](contribution_guides/documentation.md).
diff --git a/docs/contributing/contribution_guides/development_guides/contributingToFrontend.md b/docs/contributing/contribution_guides/contributingToFrontend.md
similarity index 100%
rename from docs/contributing/contribution_guides/development_guides/contributingToFrontend.md
rename to docs/contributing/contribution_guides/contributingToFrontend.md
diff --git a/docs/contributing/contribution_guides/development.md b/docs/contributing/contribution_guides/development.md
index a867c7fa1f..ef69311503 100644
--- a/docs/contributing/contribution_guides/development.md
+++ b/docs/contributing/contribution_guides/development.md
@@ -27,56 +27,6 @@ There are two paths to making a development contribution:
 * Use Python and Typescript’s typing systems, and consider using an editor with [LSP](https://microsoft.github.io/language-server-protocol/) support to streamline development
 * Make all communications public. This ensure knowledge is shared with the whole community
 
-## **How do I make a contribution?**
-
-Never made an open source contribution before? Wondering how contributions work in our project? Here's a quick rundown!
-
-Before starting these steps, ensure you have your local environment [configured for development](../LOCAL_DEVELOPMENT.md).
-
-1.  Find a [good first issue](https://github.com/invoke-ai/InvokeAI/contribute) that you are interested in addressing or a feature that you would like to add. Then, reach out to our team in the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord to ensure you are  setup for success. 
-2. Fork the [InvokeAI](https://github.com/invoke-ai/InvokeAI) repository to your GitHub profile. This means that you will have a copy of the repository under **your-GitHub-username/InvokeAI**.
-3. Clone the repository to your local machine using:
-
-```bash
-git clone https://github.com/your-GitHub-username/InvokeAI.git
-```
-
-If you're unfamiliar with using Git through the commandline, [GitHub Desktop](https://desktop.github.com) is a easy-to-use alternative with a UI. You can do all the same steps listed here, but through the interface. 
-
-4. Create a new branch for your fix using:
-
-```bash
-git checkout -b branch-name-here
-```
-
-5. Make the appropriate changes for the issue you are trying to address or the feature that you want to add.
-6. Add the file contents of the changed files to the "snapshot" git uses to manage the state of the project, also known as the index:
-
-```bash
-git add insert-paths-of-changed-files-here
-```
-
-7. Store the contents of the index with a descriptive message.
-
-```bash
-git commit -m "Insert a short message of the changes made here"
-```
-
-8. Push the changes to the remote repository using
-
-```markdown
-git push origin branch-name-here
-```
-
-9. Submit a pull request to the **main** branch of the InvokeAI repository.
-10. Title the pull request with a short description of the changes made and the issue or bug number associated with your change. For example, you can title an issue like so "Added more log outputting to resolve #1234".
-11. In the description of the pull request, explain the changes that you made, any issues you think exist with the pull request you made, and any questions you have for the maintainer. It's OK if your pull request is not perfect (no pull request is), the reviewer will be able to help you fix any problems and improve it!
-12. Wait for the pull request to be reviewed by other collaborators.
-13. Make changes to the pull request if the reviewer(s) recommend them.
-14. Celebrate your success after your pull request is merged!
-
-If you’d like to learn more about contributing to Open Source projects, here is a [Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). 
-
 ## **Where can I go for help?**
 
 If you need help, you can ask questions in the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord.
@@ -85,6 +35,7 @@ For frontend related work, **@pyschedelicious** is the best person to reach out
 
 For backend related work, please reach out to **@blessedcoolant**, **@lstein**, **@StAlKeR7779** or **@pyschedelicious**.
 
+
 ## **What does the Code of Conduct mean for me?**
 
 Our [Code of Conduct](CODE_OF_CONDUCT.md)  means that you are responsible for treating everyone on the project with respect and courtesy regardless of their identity. If you are the victim of any inappropriate behavior or comments as described in our Code of Conduct, we are here for you and will do the best to ensure that the abuser is reprimanded appropriately, per our code.
diff --git a/docs/contributing/contribution_guides/newContributorChecklist.md b/docs/contributing/contribution_guides/newContributorChecklist.md
new file mode 100644
index 0000000000..ee5d578366
--- /dev/null
+++ b/docs/contributing/contribution_guides/newContributorChecklist.md
@@ -0,0 +1,71 @@
+# New Contributor Guide
+
+If you're a new contributor to InvokeAI or Open Source Projects, this is the guide for you. 
+
+## New Contributor Checklist
+
+- [x] Set up your local development environment by following the steps outlined [here](../../installation/020_INSTALL_MANUAL.md#developer-install) 
+- [x] Set up your local tooling with [this guide](InvokeAI/contributing/LOCAL_DEVELOPMENT/#developing-invokeai-in-vscode). Feel free to skip this step if you already have tooling you're comfortable with. 
+- [x] Familiarize yourself with [Git](https://www.atlassian.com/git) & our project structure by reading through the [development documentation](development.md)
+- [x] Join the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord
+- [x] Choose an issue to work on! This can be achieved by asking in the #dev-chat channel, tackling a [good first issue](https://github.com/invoke-ai/InvokeAI/contribute) or finding an item on the [roadmap](https://github.com/orgs/invoke-ai/projects/7)
+- [x] Happy development! Don't be afraid to ask for help - we want to help you get involved! 
+
+
+## How do I make a contribution?
+
+Never made an open source contribution before? Wondering how contributions work in our project? Here's a quick rundown!
+
+Before starting these steps, ensure you have your local environment [configured for development](../LOCAL_DEVELOPMENT.md).
+
+1.  Find a [good first issue](https://github.com/invoke-ai/InvokeAI/contribute) that you are interested in addressing or a feature that you would like to add. Then, reach out to our team in the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord to ensure you are  setup for success. 
+2. Fork the [InvokeAI](https://github.com/invoke-ai/InvokeAI) repository to your GitHub profile. This means that you will have a copy of the repository under **your-GitHub-username/InvokeAI**.
+3. Clone the repository to your local machine using:
+
+```bash
+git clone https://github.com/your-GitHub-username/InvokeAI.git
+```
+
+If you're unfamiliar with using Git through the commandline, [GitHub Desktop](https://desktop.github.com) is a easy-to-use alternative with a UI. You can do all the same steps listed here, but through the interface. 
+
+4. Create a new branch for your fix using:
+
+```bash
+git checkout -b branch-name-here
+```
+
+5. Make the appropriate changes for the issue you are trying to address or the feature that you want to add.
+6. Add the file contents of the changed files to the "snapshot" git uses to manage the state of the project, also known as the index:
+
+```bash
+git add insert-paths-of-changed-files-here
+```
+
+7. Store the contents of the index with a descriptive message.
+
+```bash
+git commit -m "Insert a short message of the changes made here"
+```
+
+8. Push the changes to the remote repository using
+
+```markdown
+git push origin branch-name-here
+```
+
+9. Submit a pull request to the **main** branch of the InvokeAI repository.
+10. Title the pull request with a short description of the changes made and the issue or bug number associated with your change. For example, you can title an issue like so "Added more log outputting to resolve #1234".
+11. In the description of the pull request, explain the changes that you made, any issues you think exist with the pull request you made, and any questions you have for the maintainer. It's OK if your pull request is not perfect (no pull request is), the reviewer will be able to help you fix any problems and improve it!
+12. Wait for the pull request to be reviewed by other collaborators.
+13. Make changes to the pull request if the reviewer(s) recommend them.
+14. Celebrate your success after your pull request is merged!
+
+If you’d like to learn more about contributing to Open Source projects, here is a [Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). 
+
+## **Where can I go for help?**
+
+If you need help, you can ask questions in the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord.
+
+For frontend related work, **@pyschedelicious** is the best person to reach out to. 
+
+For backend related work, please reach out to **@blessedcoolant**, **@lstein**, **@StAlKeR7779** or **@pyschedelicious**.
diff --git a/mkdocs.yml b/mkdocs.yml
index 2888f2e6ba..81a0a5a437 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -158,7 +158,7 @@ nav:
       - Development:
         - Overview: 'contributing/contribution_guides/development.md'
         - InvokeAI Architecture: 'contributing/ARCHITECTURE.md'
-        - Frontend Documentation: 'contributing/contribution_guides/development_guides/contributingToFrontend.md'
+        - Frontend Documentation: 'contributing/contribution_guides/contributingToFrontend.md'
         - Local Development: 'contributing/LOCAL_DEVELOPMENT.md'
       - Documentation: 'contributing/contribution_guides/documentation.md'
       - Nodes: 'contributing/INVOCATIONS.md'

From d4143136d0f234351c6d8a177bcde6d8771c6232 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 12:05:06 +1000
Subject: [PATCH 072/265] Update new developer docs

---
 docs/contributing/CONTRIBUTING.md             | 26 +++----
 .../newContributorChecklist.md                | 25 ++-----
 docs/installation/020_INSTALL_MANUAL.md       |  7 +-
 docs/installation/INSTALLATION.md             | 72 +++++++------------
 mkdocs.yml                                    |  1 +
 5 files changed, 48 insertions(+), 83 deletions(-)

diff --git a/docs/contributing/CONTRIBUTING.md b/docs/contributing/CONTRIBUTING.md
index 748d843bbb..2bd15abbaa 100644
--- a/docs/contributing/CONTRIBUTING.md
+++ b/docs/contributing/CONTRIBUTING.md
@@ -1,39 +1,36 @@
 # How to Contribute
 
-## Welcome to Invoke AI
 Invoke AI originated as a project built by the community, and that vision carries forward today as we aim to build the best pro-grade tools available. We work together to incorporate the latest in AI/ML research, making these tools available in over 20 languages to artists and creatives around the world as part of our fully permissive OSS project designed for individual users to self-host and use.
 
 
-## Contributing to Invoke AI
+# Contributing to Invoke AI
 Anyone who wishes to contribute to InvokeAI, whether features, bug fixes, code cleanup, testing, code reviews, documentation or translation is very much encouraged to do so.
 
-To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board.
+## Development
+If you’d like to help with development, please see our [development guide](contribution_guides/development.md). 
 
-### Areas of contribution: 
+**New Contributors:** If you’re unfamiliar with contributing to open source projects, take a look at our [new contributor guide](contribution_guides/newContributorChecklist.md).
 
-#### Development
-If you’d like to help with development, please see our [development guide](contribution_guides/development.md). If you’re unfamiliar with contributing to open source projects, take a look at our [new contributor guide](contribution_guides/newContributorChecklist.md).
-
-#### Nodes
+## Nodes
 If you’d like to add a Node, please see our [nodes contribution guide](../nodes/contributingNodes.md).
 
-#### Documentation
+## Documentation
 If you’d like to help with documentation, please see our [documentation guide](contribution_guides/documentation.md).
 
-#### Translation
+## Translation
 If you'd like to help with translation, please see our [translation guide](contribution_guides/translation.md).
 
-#### Tutorials 
+## Tutorials 
 Please reach out to @imic or @hipsterusername on [Discord](https://discord.gg/ZmtBAhwWhy) to help create tutorials for InvokeAI.
 
 We hope you enjoy using our software as much as we enjoy creating it, and we hope that some of those of you who are reading this will elect to become part of our contributor community.
 
 
-### Contributors
+# Contributors
 
 This project is a combined effort of dedicated people from across the world. [Check out the list of all these amazing people](https://invoke-ai.github.io/InvokeAI/other/CONTRIBUTORS/). We thank them for their time, hard work and effort.
 
-### Code of Conduct
+# Code of Conduct
 
 The InvokeAI community is a welcoming place, and we want your help in maintaining that. Please review our [Code of Conduct](https://github.com/invoke-ai/InvokeAI/blob/main/CODE_OF_CONDUCT.md) to learn more - it's essential to maintaining a respectful and inclusive environment.
 
@@ -47,8 +44,7 @@ By making a contribution to this project, you certify that:
 This disclaimer is not a license and does not grant any rights or permissions. You must obtain necessary permissions and licenses, including from third parties, before contributing to this project.
 
 This disclaimer is provided "as is" without warranty of any kind, whether expressed or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, or non-infringement. In no event shall the authors or copyright holders be liable for any claim, damages, or other liability, whether in an action of contract, tort, or otherwise, arising from, out of, or in connection with the contribution or the use or other dealings in the contribution.
-
-### Support
+# Support
 
 For support, please use this repository's [GitHub Issues](https://github.com/invoke-ai/InvokeAI/issues), or join the [Discord](https://discord.gg/ZmtBAhwWhy).
 
diff --git a/docs/contributing/contribution_guides/newContributorChecklist.md b/docs/contributing/contribution_guides/newContributorChecklist.md
index ee5d578366..bab7f84148 100644
--- a/docs/contributing/contribution_guides/newContributorChecklist.md
+++ b/docs/contributing/contribution_guides/newContributorChecklist.md
@@ -3,13 +3,13 @@
 If you're a new contributor to InvokeAI or Open Source Projects, this is the guide for you. 
 
 ## New Contributor Checklist
-
-- [x] Set up your local development environment by following the steps outlined [here](../../installation/020_INSTALL_MANUAL.md#developer-install) 
+- [x] Set up your local development environment & fork of InvokAI by following [the steps outlined here](../../installation/020_INSTALL_MANUAL.md#developer-install)
 - [x] Set up your local tooling with [this guide](InvokeAI/contributing/LOCAL_DEVELOPMENT/#developing-invokeai-in-vscode). Feel free to skip this step if you already have tooling you're comfortable with. 
 - [x] Familiarize yourself with [Git](https://www.atlassian.com/git) & our project structure by reading through the [development documentation](development.md)
 - [x] Join the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord
-- [x] Choose an issue to work on! This can be achieved by asking in the #dev-chat channel, tackling a [good first issue](https://github.com/invoke-ai/InvokeAI/contribute) or finding an item on the [roadmap](https://github.com/orgs/invoke-ai/projects/7)
-- [x] Happy development! Don't be afraid to ask for help - we want to help you get involved! 
+- [x] Choose an issue to work on! This can be achieved by asking in the #dev-chat channel, tackling a [good first issue](https://github.com/invoke-ai/InvokeAI/contribute) or finding an item on the [roadmap](https://github.com/orgs/invoke-ai/projects/7). If nothing in any of those places catches your eye, feel free to work on something of interest to you! 
+- [x] Make your first Pull Request with the guide below
+- [x] Happy development! Don't be afraid to ask for help - we're happy to help you contribute!
 
 
 ## How do I make a contribution?
@@ -21,39 +21,28 @@ Before starting these steps, ensure you have your local environment [configured
 1.  Find a [good first issue](https://github.com/invoke-ai/InvokeAI/contribute) that you are interested in addressing or a feature that you would like to add. Then, reach out to our team in the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord to ensure you are  setup for success. 
 2. Fork the [InvokeAI](https://github.com/invoke-ai/InvokeAI) repository to your GitHub profile. This means that you will have a copy of the repository under **your-GitHub-username/InvokeAI**.
 3. Clone the repository to your local machine using:
-
 ```bash
 git clone https://github.com/your-GitHub-username/InvokeAI.git
 ```
-
 If you're unfamiliar with using Git through the commandline, [GitHub Desktop](https://desktop.github.com) is a easy-to-use alternative with a UI. You can do all the same steps listed here, but through the interface. 
-
 4. Create a new branch for your fix using:
-
 ```bash
 git checkout -b branch-name-here
 ```
-
 5. Make the appropriate changes for the issue you are trying to address or the feature that you want to add.
 6. Add the file contents of the changed files to the "snapshot" git uses to manage the state of the project, also known as the index:
-
 ```bash
-git add insert-paths-of-changed-files-here
+git add -A
 ```
-
 7. Store the contents of the index with a descriptive message.
-
 ```bash
 git commit -m "Insert a short message of the changes made here"
 ```
-
 8. Push the changes to the remote repository using
-
-```markdown
+```bash
 git push origin branch-name-here
 ```
-
-9. Submit a pull request to the **main** branch of the InvokeAI repository.
+9. Submit a pull request to the **main** branch of the InvokeAI repository. If you're not sure how to, [follow this guide](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request)
 10. Title the pull request with a short description of the changes made and the issue or bug number associated with your change. For example, you can title an issue like so "Added more log outputting to resolve #1234".
 11. In the description of the pull request, explain the changes that you made, any issues you think exist with the pull request you made, and any questions you have for the maintainer. It's OK if your pull request is not perfect (no pull request is), the reviewer will be able to help you fix any problems and improve it!
 12. Wait for the pull request to be reviewed by other collaborators.
diff --git a/docs/installation/020_INSTALL_MANUAL.md b/docs/installation/020_INSTALL_MANUAL.md
index fd0fbe35ed..865253bb14 100644
--- a/docs/installation/020_INSTALL_MANUAL.md
+++ b/docs/installation/020_INSTALL_MANUAL.md
@@ -287,7 +287,7 @@ manager, please follow these steps:
     Leave off the `--gui` option to run the script using command-line arguments. Pass the `--help` argument
     to get usage instructions.
 
-### Developer Install
+## Developer Install
 
 If you have an interest in how InvokeAI works, or you would like to
 add features or bugfixes, you are encouraged to install the source
@@ -296,13 +296,14 @@ code for InvokeAI. For this to work, you will need to install the
 on your system, please see the [Git Installation
 Guide](https://github.com/git-guides/install-git)
 
+1. Create a fork of the InvokeAI repository through the GitHub UI or [this link](https://github.com/invoke-ai/InvokeAI/fork) 
 1. From the command line, run this command:
    ```bash
-   git clone https://github.com/invoke-ai/InvokeAI.git
+   git clone https://github.com/<your_github_username>/InvokeAI.git
    ```
 
     This will create a directory named `InvokeAI` and populate it with the
-    full source code from the InvokeAI repository.
+    full source code from your fork of the InvokeAI repository.
 
 2. Activate the InvokeAI virtual environment as per step (4) of the manual
 installation protocol (important!)
diff --git a/docs/installation/INSTALLATION.md b/docs/installation/INSTALLATION.md
index 3b5419e7eb..8ac2c56c48 100644
--- a/docs/installation/INSTALLATION.md
+++ b/docs/installation/INSTALLATION.md
@@ -17,14 +17,32 @@ This fork is supported across Linux, Windows and Macintosh. Linux users can use
 either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm
 driver).
 
-### Installation Getting Started Guide
-#### **[Automated Installer](010_INSTALL_AUTOMATED.md)**
+
+## **[Automated Installer](010_INSTALL_AUTOMATED.md)**
 ✅ This is the recommended installation method for first-time users. 
-#### [Manual Installation](020_INSTALL_MANUAL.md)
-This method is recommended for experienced users and developers
-#### [Docker Installation](040_INSTALL_DOCKER.md)
-This method is recommended for those familiar with running Docker containers
-### Other Installation Guides
+
+  This is a script that will install all of InvokeAI's essential
+  third party libraries and InvokeAI itself. It includes access to a
+  "developer console" which will help us debug problems with you and
+  give you to access experimental features.
+
+## **[Manual Installation](020_INSTALL_MANUAL.md)**
+This method is recommended for experienced users and developers.
+
+  In this method you will manually run the commands needed to install
+  InvokeAI and its dependencies. We offer two recipes: one suited to
+  those who prefer the `conda` tool, and one suited to those who prefer
+  `pip` and Python virtual environments. In our hands the pip install
+  is faster and more reliable, but your mileage may vary.
+  Note that the conda installation method is currently deprecated and
+  will not be supported at some point in the future.
+
+## **[Docker Installation](040_INSTALL_DOCKER.md)**
+This method is recommended for those familiar with running Docker containers.
+
+We offer a method for creating Docker containers containing InvokeAI and its dependencies. This method is recommended for individuals with experience with Docker containers and understand the pluses and minuses of a container-based install.
+
+## Other Installation Guides
   - [PyPatchMatch](060_INSTALL_PATCHMATCH.md)
   - [XFormers](070_INSTALL_XFORMERS.md)
   - [CUDA and ROCm Drivers](030_INSTALL_CUDA_AND_ROCM.md)
@@ -63,43 +81,3 @@ images in full-precision mode:
 - GTX 1650 series cards
 - GTX 1660 series cards
 
-## Installation options
-
-1. [Automated Installer](010_INSTALL_AUTOMATED.md)
-
-    This is a script that will install all of InvokeAI's essential
-    third party libraries and InvokeAI itself. It includes access to a
-    "developer console" which will help us debug problems with you and
-    give you to access experimental features.
-
-
-    ✅ This is the recommended option for first time users. 
-
-2. [Manual Installation](020_INSTALL_MANUAL.md)
-
-    In this method you will manually run the commands needed to install
-    InvokeAI and its dependencies. We offer two recipes: one suited to
-    those who prefer the `conda` tool, and one suited to those who prefer
-    `pip` and Python virtual environments. In our hands the pip install
-    is faster and more reliable, but your mileage may vary.
-    Note that the conda installation method is currently deprecated and
-    will not be supported at some point in the future.
-
-    This method is recommended for users who have previously used `conda`
-    or `pip` in the past, developers, and anyone who wishes to remain on
-    the cutting edge of future InvokeAI development and is willing to put
-    up with occasional glitches and breakage.
-
-3. [Docker Installation](040_INSTALL_DOCKER.md)
-
-    We also offer a method for creating Docker containers containing
-    InvokeAI and its dependencies. This method is recommended for
-    individuals with experience with Docker containers and understand
-    the pluses and minuses of a container-based install.
-
-## Quick Guides
-
-* [Installing CUDA and ROCm Drivers](./030_INSTALL_CUDA_AND_ROCM.md)
-* [Installing XFormers](./070_INSTALL_XFORMERS.md)
-* [Installing PyPatchMatch](./060_INSTALL_PATCHMATCH.md)
-* [Installing New Models](./050_INSTALLING_MODELS.md)
diff --git a/mkdocs.yml b/mkdocs.yml
index 81a0a5a437..1725a59500 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -159,6 +159,7 @@ nav:
         - Overview: 'contributing/contribution_guides/development.md'
         - InvokeAI Architecture: 'contributing/ARCHITECTURE.md'
         - Frontend Documentation: 'contributing/contribution_guides/contributingToFrontend.md'
+        - New Contributors: 'contributing/contribution_guides/newContributorChecklist.md'
         - Local Development: 'contributing/LOCAL_DEVELOPMENT.md'
       - Documentation: 'contributing/contribution_guides/documentation.md'
       - Nodes: 'contributing/INVOCATIONS.md'

From eb48718459bdd879d3acd181a4fd92781bd4c53f Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 12:28:06 +1000
Subject: [PATCH 073/265] Update README

---
 README.md | 19 +++++++++----------
 1 file changed, 9 insertions(+), 10 deletions(-)

diff --git a/README.md b/README.md
index c40b9ef418..8288c66850 100644
--- a/README.md
+++ b/README.md
@@ -368,9 +368,9 @@ InvokeAI offers a locally hosted Web Server & React Frontend, with an industry l
 
 The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/outpainting, brush tools, and more. This creative tool unlocks the capability for artists to create with AI as a creative collaborator, and can be used to augment AI-generated imagery, sketches, photography, renders, and more.
 
-### *Node Architecture & Editor (Beta)*
+### *Workflows & Nodes*
 
-Invoke AI's backend is built on a graph-based execution architecture. This allows for customizable generation pipelines to be developed by professional users looking to create specific workflows to support their production use-cases, and will be extended in the future with additional capabilities.
+InvokeAI offers a fully featured workflow management solution, enabling users to combine the power of nodes based workflows with the easy of a UI. This allows for customizable generation pipelines to be developed and shared by users looking to create specific workflows to support their production use-cases.
 
 ### *Board & Gallery Management*
 
@@ -383,8 +383,9 @@ Invoke AI provides an organized gallery system for easily storing, accessing, an
 - *Upscaling Tools*
 - *Embedding Manager & Support*
 - *Model Manager & Support*
+- *Workflow creation & management*
 - *Node-Based Architecture*
-- *Node-Based Plug-&-Play UI (Beta)*
+
 
 ### Latest Changes
 
@@ -395,20 +396,18 @@ Notes](https://github.com/invoke-ai/InvokeAI/releases) and the
 ### Troubleshooting
 
 Please check out our **[Q&A](https://invoke-ai.github.io/InvokeAI/help/TROUBLESHOOT/#faq)** to get solutions for common installation
-problems and other issues.
+problems and other issues. For more help, please join our [Discord][discord link]
 
 ## Contributing
 
 Anyone who wishes to contribute to this project, whether documentation, features, bug fixes, code
 cleanup, testing, or code reviews, is very much encouraged to do so.
 
-To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board.
-
-If you'd like to help with translation, please see our [translation guide](docs/other/TRANSLATION.md).
+Get started with contributing by reading our [Contribution documentation](https://invoke-ai.github.io/InvokeAI/contributing/CONTRIBUTING/), joining the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) or the GitHub discussion board.
 
 If you are unfamiliar with how
-to contribute to GitHub projects, here is a
-[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). A full set of contribution guidelines, along with templates, are in progress. You can **make your pull request against the "main" branch**.
+to contribute to GitHub projects, we have a new contributor checklist you can follow to get started contributing: 
+[New Contributor Checklist](https://invoke-ai.github.io/InvokeAI/contributing/contribution_guides/newContributorChecklist/).
 
 We hope you enjoy using our software as much as we enjoy creating it,
 and we hope that some of those of you who are reading this will elect
@@ -424,7 +423,7 @@ their time, hard work and effort.
 
 ### Support
 
-For support, please use this repository's GitHub Issues tracking service, or join the Discord.
+For support, please use this repository's GitHub Issues tracking service, or join the [Discord][discord link].
 
 Original portions of the software are Copyright (c) 2023 by respective contributors.
 

From 2a0dbe3b5b7d46619d3191b355636d984b26c6e9 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 12:30:45 +1000
Subject: [PATCH 074/265] update quick links in Readme

---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 8288c66850..15c5747ea8 100644
--- a/README.md
+++ b/README.md
@@ -46,13 +46,13 @@ the foundation for multiple commercial products.
   Install](https://invoke-ai.github.io/InvokeAI/installation/INSTALLATION/)] [<a
   href="https://discord.gg/ZmtBAhwWhy">Discord Server</a>] [<a
   href="https://invoke-ai.github.io/InvokeAI/">Documentation and
-  Tutorials</a>] [<a
-  href="https://github.com/invoke-ai/InvokeAI/">Code and
-  Downloads</a>] [<a
-  href="https://github.com/invoke-ai/InvokeAI/issues">Bug Reports</a>]
+  Tutorials</a>]
+  [<a href="https://github.com/invoke-ai/InvokeAI/issues">Bug Reports</a>]
   [<a
   href="https://github.com/invoke-ai/InvokeAI/discussions">Discussion,
-  Ideas & Q&A</a>]
+  Ideas & Q&A</a>] 
+   [<a
+  href="https://invoke-ai.github.io/InvokeAI/contributing/CONTRIBUTING/">Contributing</a>] 
 
 <div align="center">
 

From 666b5d7a60dfc0cca5aad04c7c4b84961184c34a Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 15:58:39 +1000
Subject: [PATCH 075/265] added example workflows

---
 docs/nodes/exampleWorkflows.md                |   16 +-
 ...img2img upscale w_ Lineart ControlNet.json | 1010 ++++++++++++
 docs/workflows/SDXL Text to Image.json        |  735 +++++++++
 .../SDXL w_Refiner Text to Image.json         | 1404 +++++++++++++++++
 docs/workflows/Text to Image.json             |  573 +++++++
 5 files changed, 3728 insertions(+), 10 deletions(-)
 create mode 100644 docs/workflows/ESRGAN img2img upscale w_ Lineart ControlNet.json
 create mode 100644 docs/workflows/SDXL Text to Image.json
 create mode 100644 docs/workflows/SDXL w_Refiner Text to Image.json
 create mode 100644 docs/workflows/Text to Image.json

diff --git a/docs/nodes/exampleWorkflows.md b/docs/nodes/exampleWorkflows.md
index 5f8dabb67c..0f5393532f 100644
--- a/docs/nodes/exampleWorkflows.md
+++ b/docs/nodes/exampleWorkflows.md
@@ -1,15 +1,11 @@
 # Example Workflows
 
-TODO: Will update once uploading workflows is available.
+We've curated some example workflows for you to get started with Workflows in InvokeAI
 
-## Text2Image
+To use them, download your desired workflow, and use the "Load Workflow" functionality in InvokeAI to load the workflow and start generating images!
 
-## Image2Image
+* SD1.5 / SD2 Text to Image  
+* SDXL Text to Image 
+* SDXL (with Refiner) Text to Image 
+* Tiled Upscaling with ControlNet
 
-## ControlNet
-
-## Upscaling
-
-## Inpainting / Outpainting
-
-## LoRAs
diff --git a/docs/workflows/ESRGAN img2img upscale w_ Lineart ControlNet.json b/docs/workflows/ESRGAN img2img upscale w_ Lineart ControlNet.json
new file mode 100644
index 0000000000..c963ace025
--- /dev/null
+++ b/docs/workflows/ESRGAN img2img upscale w_ Lineart ControlNet.json	
@@ -0,0 +1,1010 @@
+{
+  "name": "ESRGAN img2img upscale w_ Lineart ControlNet",
+  "author": "InvokeAI",
+  "description": "Sample workflow for using Upscaling with ControlNet with SD1.5",
+  "version": "1.0.1",
+  "contact": "invoke@invoke.ai",
+  "tags": "tiled, upscale controlnet, default",
+  "notes": "",
+  "exposedFields": [
+    {
+      "nodeId": "aba70c57-2495-4ec1-8d23-02b1d11445c7",
+      "fieldName": "model"
+    },
+    {
+      "nodeId": "c394834e-cab7-4c0c-919e-2e35eba7f34e",
+      "fieldName": "prompt"
+    },
+    {
+      "nodeId": "465c7e6e-278f-49b0-87ab-642e88cd076f",
+      "fieldName": "prompt"
+    },
+    {
+      "nodeId": "4e2833b2-5d35-45ec-ae65-89ea1846a3f4",
+      "fieldName": "image"
+    }
+  ],
+  "meta": {
+    "version": "1.0.0"
+  },
+  "nodes": [
+    {
+      "id": "aba70c57-2495-4ec1-8d23-02b1d11445c7",
+      "type": "invocation",
+      "data": {
+        "id": "aba70c57-2495-4ec1-8d23-02b1d11445c7",
+        "type": "main_model_loader",
+        "inputs": {
+          "model": {
+            "id": "4fcc98ee-1c70-4ad3-aaee-df72e0d4ecb9",
+            "name": "model",
+            "type": "MainModelField",
+            "fieldKind": "input",
+            "label": "",
+            "value": {
+              "model_name": "stable-diffusion-v1-5",
+              "base_model": "sd-1",
+              "model_type": "main"
+            }
+          }
+        },
+        "outputs": {
+          "unet": {
+            "id": "3ecbc0ff-a7b0-43de-a81f-039210cbda50",
+            "name": "unet",
+            "type": "UNetField",
+            "fieldKind": "output"
+          },
+          "clip": {
+            "id": "4e55bd72-5409-4fba-9929-4177e4ae9c34",
+            "name": "clip",
+            "type": "ClipField",
+            "fieldKind": "output"
+          },
+          "vae": {
+            "id": "0095495c-4424-451f-a8f5-26dc840a3c56",
+            "name": "vae",
+            "type": "VaeField",
+            "fieldKind": "output"
+          }
+        },
+        "label": "",
+        "isOpen": true,
+        "notes": "",
+        "embedWorkflow": false,
+        "isIntermediate": true
+      },
+      "width": 320,
+      "height": 202,
+      "position": {
+        "x": 175,
+        "y": 300
+      }
+    },
+    {
+      "id": "167ffc36-4cb7-425c-ae55-e88f80a1d6fe",
+      "type": "invocation",
+      "data": {
+        "id": "167ffc36-4cb7-425c-ae55-e88f80a1d6fe",
+        "type": "noise",
+        "inputs": {
+          "seed": {
+            "id": "a64e30f7-f9f4-4d67-a5aa-af5924205f92",
+            "name": "seed",
+            "type": "integer",
+            "fieldKind": "input",
+            "label": "",
+            "value": 0
+          },
+          "width": {
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+}
\ No newline at end of file
diff --git a/docs/workflows/SDXL Text to Image.json b/docs/workflows/SDXL Text to Image.json
new file mode 100644
index 0000000000..57f95293eb
--- /dev/null
+++ b/docs/workflows/SDXL Text to Image.json	
@@ -0,0 +1,735 @@
+{
+  "name": "SDXL Text to Image",
+  "author": "InvokeAI",
+  "description": "Sample text to image workflow for SDXL",
+  "version": "1.0.1",
+  "contact": "invoke@invoke.ai",
+  "tags": "text2image, SDXL, default",
+  "notes": "",
+  "exposedFields": [
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+    },
+    {
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+    },
+    {
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+    },
+    {
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+        "id": "3193ad09-a7c2-4bf4-a3a9-1c61cc33a204",
+        "type": "sdxl_compel_prompt",
+        "inputs": {
+          "prompt": {
+            "id": "5a6889e6-95cb-462f-8f4a-6b93ae7afaec",
+            "name": "prompt",
+            "type": "string",
+            "fieldKind": "input",
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+            "value": ""
+          },
+          "style": {
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+            "name": "style",
+            "type": "string",
+            "fieldKind": "input",
+            "label": "Negative Style",
+            "value": ""
+          },
+          "original_width": {
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+            "name": "original_width",
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+            "value": 1024
+          },
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+          "clip2": {
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+            "name": "clip2",
+            "type": "ClipField",
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+          }
+        },
+        "outputs": {
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+      "height": 764,
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+            "fieldKind": "input",
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+            "name": "vae",
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+          }
+        },
+        "outputs": {
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+        "outputs": {
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diff --git a/docs/workflows/SDXL w_Refiner Text to Image.json b/docs/workflows/SDXL w_Refiner Text to Image.json
new file mode 100644
index 0000000000..22ffb8262d
--- /dev/null
+++ b/docs/workflows/SDXL w_Refiner Text to Image.json	
@@ -0,0 +1,1404 @@
+{
+  "name": "SDXL w/Refiner  Text to Image",
+  "author": "InvokeAI",
+  "description": "Sample text to image workflow for SDXL with the refiner",
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+  "contact": "invoke@invoke.ai",
+  "tags": "text2image, SDXL, default, refiner",
+  "notes": "",
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+      "targetHandle": "scheduler",
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+      "type": "default"
+    },
+    {
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+      "sourceHandle": "value",
+      "target": "3193ad09-a7c2-4bf4-a3a9-1c61cc33a204",
+      "targetHandle": "style",
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+      "type": "default"
+    }
+  ]
+}
diff --git a/docs/workflows/Text to Image.json b/docs/workflows/Text to Image.json
new file mode 100644
index 0000000000..7239a2247f
--- /dev/null
+++ b/docs/workflows/Text to Image.json	
@@ -0,0 +1,573 @@
+{
+  "name": "Text to Image",
+  "author": "InvokeAI",
+  "description": "Sample text to image workflow for Stable Diffusion 1.5/2",
+  "version": "1.0.1",
+  "contact": "invoke@invoke.ai",
+  "tags": "text2image, SD1.5, SD2, default",
+  "notes": "",
+  "exposedFields": [
+    {
+      "nodeId": "c8d55139-f380-4695-b7f2-8b3d1e1e3db8",
+      "fieldName": "model"
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+    {
+      "nodeId": "7d8bf987-284f-413a-b2fd-d825445a5d6c",
+      "fieldName": "prompt"
+    },
+    {
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+      "fieldName": "prompt"
+    },
+    {
+      "nodeId": "75899702-fa44-46d2-b2d5-3e17f234c3e7",
+      "fieldName": "steps"
+    }
+  ],
+  "meta": {
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+            "name": "prompt",
+            "type": "string",
+            "fieldKind": "input",
+            "label": "Negative Prompt",
+            "value": ""
+          },
+          "clip": {
+            "id": "48d23dce-a6ae-472a-9f8c-22a714ea5ce0",
+            "name": "clip",
+            "type": "ClipField",
+            "fieldKind": "input",
+            "label": ""
+          }
+        },
+        "outputs": {
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+            "name": "conditioning",
+            "type": "ConditioningField",
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+        },
+        "label": "Negative Compel Prompt",
+        "isOpen": true,
+        "notes": "",
+        "embedWorkflow": false,
+        "isIntermediate": true
+      },
+      "width": 320,
+      "height": 235,
+      "position": {
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+        "y": -75
+      }
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+    {
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+      "type": "invocation",
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+            "value": 512
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+            "value": 512
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+            "name": "use_cpu",
+            "type": "boolean",
+            "fieldKind": "input",
+            "label": "",
+            "value": true
+          }
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+        "outputs": {
+          "noise": {
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+            "type": "LatentsField",
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+    {
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+      "type": "invocation",
+      "data": {
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+        "id": "dbcd2f98-d809-48c8-bf64-2635f88a2fe9",
+        "type": "l2i",
+        "inputs": {
+          "tiled": {
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+            "name": "tiled",
+            "type": "boolean",
+            "fieldKind": "input",
+            "label": "",
+            "value": false
+          },
+          "fp32": {
+            "id": "b146d873-ffb9-4767-986a-5360504841a2",
+            "name": "fp32",
+            "type": "boolean",
+            "fieldKind": "input",
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+            "value": false
+          },
+          "latents": {
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+            "name": "latents",
+            "type": "LatentsField",
+            "fieldKind": "input",
+            "label": ""
+          },
+          "vae": {
+            "id": "a478b833-6e13-4611-9a10-842c89603c74",
+            "name": "vae",
+            "type": "VaeField",
+            "fieldKind": "input",
+            "label": ""
+          }
+        },
+        "outputs": {
+          "image": {
+            "id": "c87ae925-f858-417a-8940-8708ba9b4b53",
+            "name": "image",
+            "type": "ImageField",
+            "fieldKind": "output"
+          },
+          "width": {
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+          },
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+            "name": "height",
+            "type": "integer",
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+          }
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+        "label": "",
+        "isOpen": true,
+        "notes": "",
+        "embedWorkflow": true,
+        "isIntermediate": false
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+      "height": 266,
+      "position": {
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+    {
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+        "id": "c8d55139-f380-4695-b7f2-8b3d1e1e3db8",
+        "type": "main_model_loader",
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+            "fieldKind": "input",
+            "label": "",
+            "value": {
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+              "base_model": "sd-1",
+              "model_type": "main"
+            }
+          }
+        },
+        "outputs": {
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+            "type": "UNetField",
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+            "name": "prompt",
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+            "label": "Positive Prompt",
+            "value": ""
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+          "clip": {
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+            "name": "clip",
+            "type": "ClipField",
+            "fieldKind": "input",
+            "label": ""
+          }
+        },
+        "outputs": {
+          "conditioning": {
+            "id": "37cf3a9d-f6b7-4b64-8ff6-2558c5ecc447",
+            "name": "conditioning",
+            "type": "ConditioningField",
+            "fieldKind": "output"
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+        },
+        "label": "Positive Compel Prompt",
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+        "notes": "",
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+        "isIntermediate": true
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+            "name": "value",
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+            "value": "euler"
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+        "outputs": {
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+      "type": "default"
+    }
+  ]
+}

From 49423a791d9ae18f282ad07d49391614b95e7128 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 16:11:22 +1000
Subject: [PATCH 076/265] updated workflow links

---
 docs/nodes/exampleWorkflows.md                       | 12 +++++++-----
 ...> ESRGAN_img2img_upscale w_Canny_ControlNet.json} |  0
 ...XL Text to Image.json => SDXL_Text_to_Image.json} |  0
 ... Image.json => SDXL_w_Refiner_Text_to_Image.json} |  0
 .../{Text to Image.json => Text_to_Image.json}       |  0
 5 files changed, 7 insertions(+), 5 deletions(-)
 rename docs/workflows/{ESRGAN img2img upscale w_ Lineart ControlNet.json => ESRGAN_img2img_upscale w_Canny_ControlNet.json} (100%)
 rename docs/workflows/{SDXL Text to Image.json => SDXL_Text_to_Image.json} (100%)
 rename docs/workflows/{SDXL w_Refiner Text to Image.json => SDXL_w_Refiner_Text_to_Image.json} (100%)
 rename docs/workflows/{Text to Image.json => Text_to_Image.json} (100%)

diff --git a/docs/nodes/exampleWorkflows.md b/docs/nodes/exampleWorkflows.md
index 0f5393532f..6b5b0912dc 100644
--- a/docs/nodes/exampleWorkflows.md
+++ b/docs/nodes/exampleWorkflows.md
@@ -2,10 +2,12 @@
 
 We've curated some example workflows for you to get started with Workflows in InvokeAI
 
-To use them, download your desired workflow, and use the "Load Workflow" functionality in InvokeAI to load the workflow and start generating images!
+To use them, right click on your desired workflow, press "Download Linked File". You can then use the "Load Workflow" functionality in InvokeAI to load the workflow and start generating images!
 
-* SD1.5 / SD2 Text to Image  
-* SDXL Text to Image 
-* SDXL (with Refiner) Text to Image 
-* Tiled Upscaling with ControlNet
+If you're interested in finding more workflows, checkout the [#share-your-workflows](https://discord.com/channels/1020123559063990373/1130291608097661000) channel in the InvokeAI Discord.
+
+* [SD1.5 / SD2 Text to Image](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/Text_to_Image.json)
+* [SDXL Text to Image](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/SDXL_Text_to_Image.json)
+* [SDXL (with Refiner) Text to Image](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/SDXL_Text_to_Image.json) 
+* [Tiled Upscaling with ControlNet](https://github.com/invoke-ai/InvokeAI/blob/main/docs/workflows/ESRGAN_img2img_upscale w_Canny_ControlNet.json)ß
 
diff --git a/docs/workflows/ESRGAN img2img upscale w_ Lineart ControlNet.json b/docs/workflows/ESRGAN_img2img_upscale w_Canny_ControlNet.json
similarity index 100%
rename from docs/workflows/ESRGAN img2img upscale w_ Lineart ControlNet.json
rename to docs/workflows/ESRGAN_img2img_upscale w_Canny_ControlNet.json
diff --git a/docs/workflows/SDXL Text to Image.json b/docs/workflows/SDXL_Text_to_Image.json
similarity index 100%
rename from docs/workflows/SDXL Text to Image.json
rename to docs/workflows/SDXL_Text_to_Image.json
diff --git a/docs/workflows/SDXL w_Refiner Text to Image.json b/docs/workflows/SDXL_w_Refiner_Text_to_Image.json
similarity index 100%
rename from docs/workflows/SDXL w_Refiner Text to Image.json
rename to docs/workflows/SDXL_w_Refiner_Text_to_Image.json
diff --git a/docs/workflows/Text to Image.json b/docs/workflows/Text_to_Image.json
similarity index 100%
rename from docs/workflows/Text to Image.json
rename to docs/workflows/Text_to_Image.json

From 179a3aaa710c1d3922b1e6c2dfa4465ba75f5446 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 16:33:25 +1000
Subject: [PATCH 077/265] support & triaging

---
 docs/contributing/CONTRIBUTING.md | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/docs/contributing/CONTRIBUTING.md b/docs/contributing/CONTRIBUTING.md
index 2bd15abbaa..37c1befa1f 100644
--- a/docs/contributing/CONTRIBUTING.md
+++ b/docs/contributing/CONTRIBUTING.md
@@ -3,7 +3,7 @@
 Invoke AI originated as a project built by the community, and that vision carries forward today as we aim to build the best pro-grade tools available. We work together to incorporate the latest in AI/ML research, making these tools available in over 20 languages to artists and creatives around the world as part of our fully permissive OSS project designed for individual users to self-host and use.
 
 
-# Contributing to Invoke AI
+# Methods of Contributing to Invoke AI
 Anyone who wishes to contribute to InvokeAI, whether features, bug fixes, code cleanup, testing, code reviews, documentation or translation is very much encouraged to do so.
 
 ## Development
@@ -14,6 +14,11 @@ If you’d like to help with development, please see our [development guide](con
 ## Nodes
 If you’d like to add a Node, please see our [nodes contribution guide](../nodes/contributingNodes.md).
 
+## Support and Triaging
+Helping support other users in [Discord](https://discord.gg/ZmtBAhwWhy) and on Github are valuable forms of contribution that we greatly appreciate. 
+
+We receive many issues and requests for help from users. We're limited in bandwidth relative to our the user base, so providing answers to questions or helping identify causes of issues is very helpful. By doing this, you enable us to spend time on the highest priority work. 
+
 ## Documentation
 If you’d like to help with documentation, please see our [documentation guide](contribution_guides/documentation.md).
 

From 2c8521b25d84e695cbe20476b7071a9dd097e196 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 16:49:28 +1000
Subject: [PATCH 078/265] updated naming

---
 docs/contributing/CONTRIBUTING.md | 2 +-
 mkdocs.yml                        | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/contributing/CONTRIBUTING.md b/docs/contributing/CONTRIBUTING.md
index 37c1befa1f..ccaf4f2561 100644
--- a/docs/contributing/CONTRIBUTING.md
+++ b/docs/contributing/CONTRIBUTING.md
@@ -1,4 +1,4 @@
-# How to Contribute
+# Contributing
 
 Invoke AI originated as a project built by the community, and that vision carries forward today as we aim to build the best pro-grade tools available. We work together to incorporate the latest in AI/ML research, making these tools available in over 20 languages to artists and creatives around the world as part of our fully permissive OSS project designed for individual users to self-host and use.
 
diff --git a/mkdocs.yml b/mkdocs.yml
index 1725a59500..50ae31173c 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,7 +1,7 @@
 # yaml-language-server: $schema=https://squidfunk.github.io/mkdocs-material/schema.json
 
 # General
-site_name: InvokeAI Stable Diffusion Toolkit Docs
+site_name: InvokeAI Documentation
 site_url: https://invoke-ai.github.io/InvokeAI
 site_author: mauwii
 dev_addr: '127.0.0.1:8080'

From 7c3fb3c54a9ff3b97fca86f9a3b2a1ca5bce104c Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 18:12:02 +1000
Subject: [PATCH 079/265] updated nodes docs

---
 docs/assets/nodes/groupsallscale.png        | Bin 501370 -> 233329 bytes
 docs/assets/nodes/groupsconditioning.png    | Bin 326913 -> 198365 bytes
 docs/assets/nodes/groupscontrol.png         | Bin 221808 -> 214268 bytes
 docs/assets/nodes/groupsimgvae.png          | Bin 249926 -> 117103 bytes
 docs/assets/nodes/groupsiterate.png         | Bin 970576 -> 191073 bytes
 docs/assets/nodes/groupslora.png            | Bin 299169 -> 114234 bytes
 docs/assets/nodes/groupsmultigenseeding.png | Bin 429593 -> 135019 bytes
 docs/assets/nodes/groupsnoise.png           | Bin 201494 -> 170691 bytes
 docs/assets/nodes/groupsrandseed.png        | Bin 221251 -> 71745 bytes
 docs/assets/nodes/linearview.png            | Bin 0 -> 60511 bytes
 docs/features/CONTROLNET.md                 |   4 +-
 docs/nodes/NODES.md                         |  40 ++++++++++++++------
 12 files changed, 30 insertions(+), 14 deletions(-)
 create mode 100644 docs/assets/nodes/linearview.png

diff --git a/docs/assets/nodes/groupsallscale.png b/docs/assets/nodes/groupsallscale.png
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diff --git a/docs/assets/nodes/groupsimgvae.png b/docs/assets/nodes/groupsimgvae.png
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diff --git a/docs/features/CONTROLNET.md b/docs/features/CONTROLNET.md
index faa2d7cdf3..42ed43146e 100644
--- a/docs/features/CONTROLNET.md
+++ b/docs/features/CONTROLNET.md
@@ -104,7 +104,7 @@ The OpenPose control model allows for the identification of the general pose of
 
 The MediaPipe Face identification processor is able to clearly identify facial features in order to capture vivid expressions of human faces.
 
-**Tile (experimental)**:
+**Tile**:
 
 The Tile model fills out details in the image to match the image, rather than the prompt. The Tile Model is a versatile tool that offers a range of functionalities. Its primary capabilities can be boiled down to two main behaviors:
 
@@ -117,8 +117,6 @@ The Tile Model can be a powerful tool in your arsenal for enhancing image qualit
 
 With Pix2Pix, you can input an image into the controlnet, and then "instruct" the model to change it using your prompt. For example, you can say "Make it winter" to add more wintry elements to a scene.
 
-**Inpaint**: Coming Soon - Currently this model is available but not functional on the Canvas. An upcoming release will provide additional capabilities for using this model when inpainting.
-
 Each of these models can be adjusted and combined with other ControlNet models to achieve different results, giving you even more control over your image generation process.
 
 
diff --git a/docs/nodes/NODES.md b/docs/nodes/NODES.md
index 9455e6bdcf..1abd0b1ac4 100644
--- a/docs/nodes/NODES.md
+++ b/docs/nodes/NODES.md
@@ -1,13 +1,32 @@
-# Using the Node Editor
+# Using the Workflow Editor
 
-The nodes editor is a blank canvas allowing for the use of individual functions and image transformations to control the image generation workflow. Nodes take in inputs on the left side of the node, and return an output on the right side of the node. A node graph is composed of multiple nodes that are connected together to create a workflow. Nodes' inputs and outputs are connected by dragging connectors from node to node. Inputs and outputs are color coded for ease of use.
+The workflow editor is a blank canvas allowing for the use of individual functions and image transformations to control the image generation workflow. Nodes take in inputs on the left side of the node, and return an output on the right side of the node. A node graph is composed of multiple nodes that are connected together to create a workflow. Nodes' inputs and outputs are connected by dragging connectors from node to node. Inputs and outputs are color coded for ease of use.
 
-To better understand how nodes are used, think of how an electric power bar works. It takes in one input (electricity from a wall outlet) and passes it to multiple devices through multiple outputs. Similarly, a node could have multiple inputs and outputs functioning at the same (or different) time, but all node outputs pass information onward like a power bar passes electricity. Not all outputs are compatible with all inputs, however - Each node has different constraints on how it is expecting to input/output information. In general, node outputs are colour-coded to match compatible inputs of other nodes.
+If you're not familiar with Diffusion, take a look at our [Diffusion Overview.](../help/diffusion.md) Understanding how diffusion works will enable you to more easily use the Workflow Editor and build workflows to suit your needs.
+
+## UI Features
+
+### Linear View
+The Workflow Editor allows you to create a UI for your workflow, to make it easier to iterate on your generations. 
+
+To add an input to the Linear UI, right click on the input and select "Add to Linear View".
+
+The Linear UI View will also be part of the saved workflow, allowing you share workflows and enable other to use them, regardless of complexity. 
+
+![linearview](../assets/nodes/linearview.png)
+
+### Renaming Fields and Nodes
+Any node or input field can be renamed in the workflow editor. If the input field you have renamed has been added to the Linear View, the changed name will be reflected in the Linear View and the node. 
+
+### Managing Nodes
+
+* Ctrl+C to copy a node
+* Ctrl+V to paste a node
+* Backspace/Delete to delete a node
+* Shift+Click to drag and select multiple nodes 
 
 
-If you're not familiar with Diffusion, take a look at our [Diffusion Overview.](../help/diffusion.md) Understanding how diffusion works will enable you to more easily use the Nodes Editor and build workflows to suit your needs.
-
-## Important Concepts
+## Important Concepts 
 
 There are several node grouping concepts that can be examined with a narrow focus. These (and other) groupings can be pieced together to make up functional graph setups, and are important to understanding how groups of nodes work together as part of a whole. Note that the screenshots below aren't examples of complete functioning node graphs (see Examples).
 
@@ -37,7 +56,7 @@ It is common to want to use both the same seed (for continuity) and random seeds
 
 ### ControlNet
 
-The ControlNet node outputs a Control, which can be provided as input to non-image *ToLatents nodes. Depending on the type of ControlNet desired, ControlNet nodes usually require an image processor node, such as a Canny Processor or Depth Processor, which prepares an input image for use with ControlNet.
+The ControlNet node outputs a Control, which can be provided as input to a Denoise Latents node. Depending on the type of ControlNet desired, ControlNet nodes usually require an image processor node, such as a Canny Processor or Depth Processor, which prepares an input image for use with ControlNet.
 
 ![groupscontrol](../assets/nodes/groupscontrol.png)
 
@@ -59,10 +78,9 @@ Iteration is a common concept in any processing, and means to repeat a process w
 
 ![groupsiterate](../assets/nodes/groupsiterate.png)
 
-### Multiple Image Generation + Random Seeds
+### Batch / Multiple Image Generation + Random Seeds
 
-Multiple image generation in the node editor is done using the RandomRange node. In this case, the 'Size' field represents the number of images to generate. As RandomRange produces a collection of integers, we need to add the Iterate node to iterate through the collection. 
-
-To control seeds across generations takes some care. The first row in the screenshot will generate multiple images with different seeds, but using the same RandomRange parameters across invocations will result in the same group of random seeds being used across the images, producing repeatable results. In the second row, adding the RandomInt node as input to RandomRange's 'Seed' edge point will ensure that seeds are varied across all images across invocations, producing varied results.
+Batch or multiple image generation in the workflow editor is done using the RandomRange node. In this case, the 'Size' field represents the number of images to generate, meaning this example will generate 4 images. As RandomRange produces a collection of integers, we need to add the Iterate node to iterate through the collection. This noise can then be fed to the Denoise Latents node for it to iterate through the denoising process with the different seeds provided.
 
 ![groupsmultigenseeding](../assets/nodes/groupsmultigenseeding.png)
+

From 7dd20090c2b43d2f29a4a5cddfd3335479a3961b Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 18:23:59 +1000
Subject: [PATCH 080/265] update na & development docs

---
 docs/contributing/contribution_guides/development.md      | 6 ++++--
 .../contribution_guides/newContributorChecklist.md        | 8 ++++++++
 mkdocs.yml                                                | 2 +-
 3 files changed, 13 insertions(+), 3 deletions(-)

diff --git a/docs/contributing/contribution_guides/development.md b/docs/contributing/contribution_guides/development.md
index ef69311503..3398297ff6 100644
--- a/docs/contributing/contribution_guides/development.md
+++ b/docs/contributing/contribution_guides/development.md
@@ -11,7 +11,9 @@ For more information, please review our area specific documentation:
 * #### [Node Documentation](../INVOCATIONS.md)
 * #### [Local Development](../LOCAL_DEVELOPMENT.md)
 
-If you don't feel ready to make a code contribution yet, no problem! You can also help out in other ways, such as [documentation](documentation.md) or [translation](translation.md).
+**New Contributers:** Take a look at our [new contributors checklist](newContributorChecklist.md)
+
+If you don't feel ready to make a code contribution yet, no problem! You can also help out in other ways, such as [documentation](documentation.md), [translation](translation.md) or helping support other users and triage issues as they're reported in GitHub.
 
 There are two paths to making a development contribution: 
 
@@ -23,7 +25,7 @@ There are two paths to making a development contribution:
 
 ## Best Practices: 
 * Keep your pull requests small. Smaller pull requests are more likely to be accepted and merged
-* Comments! Commenting your code helps reviwers easily understand your contribution
+* Comments! Commenting your code helps reviewers easily understand your contribution
 * Use Python and Typescript’s typing systems, and consider using an editor with [LSP](https://microsoft.github.io/language-server-protocol/) support to streamline development
 * Make all communications public. This ensure knowledge is shared with the whole community
 
diff --git a/docs/contributing/contribution_guides/newContributorChecklist.md b/docs/contributing/contribution_guides/newContributorChecklist.md
index bab7f84148..90725f99ab 100644
--- a/docs/contributing/contribution_guides/newContributorChecklist.md
+++ b/docs/contributing/contribution_guides/newContributorChecklist.md
@@ -51,6 +51,14 @@ git push origin branch-name-here
 
 If you’d like to learn more about contributing to Open Source projects, here is a [Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). 
 
+
+## Best Practices: 
+* Keep your pull requests small. Smaller pull requests are more likely to be accepted and merged
+* Comments! Commenting your code helps reviewers easily understand your contribution
+* Use Python and Typescript’s typing systems, and consider using an editor with [LSP](https://microsoft.github.io/language-server-protocol/) support to streamline development
+* Make all communications public. This ensure knowledge is shared with the whole community
+
+
 ## **Where can I go for help?**
 
 If you need help, you can ask questions in the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) channel of the Discord.
diff --git a/mkdocs.yml b/mkdocs.yml
index 50ae31173c..d2e8e478f6 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -157,9 +157,9 @@ nav:
       - How to Contribute: 'contributing/CONTRIBUTING.md'
       - Development:
         - Overview: 'contributing/contribution_guides/development.md'
+        - New Contributors: 'contributing/contribution_guides/newContributorChecklist.md'
         - InvokeAI Architecture: 'contributing/ARCHITECTURE.md'
         - Frontend Documentation: 'contributing/contribution_guides/contributingToFrontend.md'
-        - New Contributors: 'contributing/contribution_guides/newContributorChecklist.md'
         - Local Development: 'contributing/LOCAL_DEVELOPMENT.md'
       - Documentation: 'contributing/contribution_guides/documentation.md'
       - Nodes: 'contributing/INVOCATIONS.md'

From bf6c5cbe777c0d042bb638fa3ebb7da414c1a128 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 18:29:35 +1000
Subject: [PATCH 081/265] update development guide

---
 docs/contributing/contribution_guides/development.md | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/docs/contributing/contribution_guides/development.md b/docs/contributing/contribution_guides/development.md
index 3398297ff6..fcfb82c811 100644
--- a/docs/contributing/contribution_guides/development.md
+++ b/docs/contributing/contribution_guides/development.md
@@ -4,14 +4,19 @@
 
 If you are looking to help to with a code contribution, InvokeAI uses several different technologies under the hood: Python (Pydantic, FastAPI, diffusers) and Typescript (React, Redux Toolkit, ChakraUI, Mantine, Konva). Familiarity with StableDiffusion and image generation concepts is helpful, but not essential. 
 
-For more information, please review our area specific documentation:
+
+## **Get Started**
+
+To get started, take a look at our [new contributors checklist](newContributorChecklist.md)
+
+Once you're setup, for more information, you can review the documentation specific to your area of interest:
 
 * #### [InvokeAI Architecure](../ARCHITECTURE.md)
 * #### [Frontend Documentation](development_guides/contributingToFrontend.md)
 * #### [Node Documentation](../INVOCATIONS.md)
 * #### [Local Development](../LOCAL_DEVELOPMENT.md)
 
-**New Contributers:** Take a look at our [new contributors checklist](newContributorChecklist.md)
+
 
 If you don't feel ready to make a code contribution yet, no problem! You can also help out in other ways, such as [documentation](documentation.md), [translation](translation.md) or helping support other users and triage issues as they're reported in GitHub.
 

From 774ade679d62fe985f8f8e8243ca7d3507a854f2 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 18:42:31 +1000
Subject: [PATCH 082/265] updated ti training

---
 docs/features/TRAINING.md | 29 ++++++++++++-----------------
 mkdocs.yml                |  2 +-
 2 files changed, 13 insertions(+), 18 deletions(-)

diff --git a/docs/features/TRAINING.md b/docs/features/TRAINING.md
index 41197a334f..7be9aff0f2 100644
--- a/docs/features/TRAINING.md
+++ b/docs/features/TRAINING.md
@@ -43,27 +43,22 @@ into the directory
 
 InvokeAI 2.3 and higher comes with a text console-based training front
 end. From within the `invoke.sh`/`invoke.bat` Invoke launcher script,
-start the front end by selecting choice (3):
+start training tool selecting choice (3):
 
 ```sh
-Do you want to generate images using the
-1: Browser-based UI
-2: Command-line interface
-3: Run textual inversion training
-4: Merge models (diffusers type only)
-5: Download and install models
-6: Change InvokeAI startup options
-7: Re-run the configure script to fix a broken install
-8: Open the developer console
-9: Update InvokeAI
-10: Command-line help
-Q: Quit
-
-Please enter 1-10, Q: [1] 
+1 "Generate images with a browser-based interface"
+2 "Explore InvokeAI nodes using a command-line interface"
+3 "Textual inversion training"
+4 "Merge models (diffusers type only)"
+5 "Download and install models"
+6 "Change InvokeAI startup options"
+7 "Re-run the configure script to fix a broken install or to complete a major upgrade"
+8 "Open the developer console"
+9 "Update InvokeAI"
 ```
 
-From the command line, with the InvokeAI virtual environment active,
-you can launch the front end with the command `invokeai-ti --gui`.
+Alternatively, you can select option (8) or from the command line, with the InvokeAI virtual environment active,
+you can then launch the front end with the command `invokeai-ti --gui`.
 
 This will launch a text-based front end that will look like this:
 
diff --git a/mkdocs.yml b/mkdocs.yml
index d2e8e478f6..f4e0688878 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -148,7 +148,7 @@ nav:
       - NSFW Checker: 'features/WATERMARK+NSFW.md'
       - Postprocessing: 'features/POSTPROCESS.md'
       - Prompting Features: 'features/PROMPTS.md'
-      - Training: 'features/TRAINING.md'
+      - Textual Inversion Training: 'features/TRAINING.md'
       - Unified Canvas: 'features/UNIFIED_CANVAS.md'
       - InvokeAI Web Server: 'features/WEB.md'
       - WebUI Hotkeys: "features/WEBUIHOTKEYS.md"

From 044b6ac07af88a39423dfcd33dd8d79ad12dc8fe Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 20:21:20 +1000
Subject: [PATCH 083/265] update model merging

---
 docs/features/CONCEPTS.md      |  4 +-
 docs/features/MODEL_MERGING.md | 77 ++++++++++++++++++----------------
 2 files changed, 42 insertions(+), 39 deletions(-)

diff --git a/docs/features/CONCEPTS.md b/docs/features/CONCEPTS.md
index 63f52d8a20..df9ee5bd26 100644
--- a/docs/features/CONCEPTS.md
+++ b/docs/features/CONCEPTS.md
@@ -21,8 +21,8 @@ TI files that you'll encounter are `.pt` and `.bin` files, which are produced by
 different TI training packages. InvokeAI supports both formats, but its
 [built-in TI training system](TRAINING.md) produces `.pt`.
 
-The [Hugging Face company](https://huggingface.co/sd-concepts-library) has
-amassed a large ligrary of &gt;800 community-contributed TI files covering a
+[Hugging Face](https://huggingface.co/sd-concepts-library) has
+amassed a large library of &gt;800 community-contributed TI files covering a
 broad range of subjects and styles. You can also install your own or others' TI files 
 by placing them in the designated directory for the compatible model type
 
diff --git a/docs/features/MODEL_MERGING.md b/docs/features/MODEL_MERGING.md
index 36e15ad0e4..6adf4db16a 100644
--- a/docs/features/MODEL_MERGING.md
+++ b/docs/features/MODEL_MERGING.md
@@ -2,17 +2,50 @@
 title: Model Merging
 ---
 
-# :material-image-off: Model Merging
-
-## How to Merge Models
-
-As of version 2.3, InvokeAI comes with a script that allows you to
-merge two or three diffusers-type models into a new merged model. The
+InvokeAI provides the ability to merge two or three diffusers-type models into a new merged model. The
 resulting model will combine characteristics of the original, and can
 be used to teach an old model new tricks.
 
+## How to Merge Models
+
+Model Merging can be be done by navigating to the Model Manager and clicking the "Merge Models" tab. From there, you can select the models and settings you want to use to merge th models. 
+
+## Settings
+
+* Model Selection: there are three multiple choice fields that
+  display all the diffusers-style models that InvokeAI knows about.
+  If you do not see the model you are looking for, then it is probably
+  a legacy checkpoint model and needs to be converted using the
+  `invoke` command-line client and its `!optimize` command. You
+  must select at least two models to merge. The third can be left at
+  "None" if you desire.
+
+* Alpha: This is the ratio to use when combining models. It ranges
+  from 0 to 1. The higher the value, the more weight is given to the
+  2d and (optionally) 3d models. So if you have two models named "A"
+  and "B", an alpha value of 0.25 will give you a merged model that is
+  25% A and 75% B.
+
+* Interpolation Method: This is the method used to combine
+  weights. The options are "weighted_sum" (the default), "sigmoid",
+  "inv_sigmoid" and "add_difference". Each produces slightly different
+  results. When three models are in use, only "add_difference" is
+  available.
+
+* Save Location: The location you want the merged model to be saved in. Default is in the InvokeAI root folder
+
+* Name for merged model: This is the name for the new model. Please
+  use InvokeAI conventions - only alphanumeric letters and the
+  characters ".+-".
+
+* Ignore Mismatches / Force: Not all models are compatible with each other. The merge
+  script will check for compatibility and refuse to merge ones that
+  are incompatible. Set this checkbox to try merging anyway.
+
+
+
 You may run the merge script by starting the invoke launcher
-(`invoke.sh` or `invoke.bat`) and choosing the option for _merge
+(`invoke.sh` or `invoke.bat`) and choosing the option (4) for _merge
 models_. This will launch a text-based interactive user interface that
 prompts you to select the models to merge, how to merge them, and the
 merged model name.
@@ -40,34 +73,4 @@ this to get back.
 If the merge runs successfully, it will create a new diffusers model
 under the selected name and register it with InvokeAI.
 
-## The Settings
-
-* Model Selection -- there are three multiple choice fields that
-  display all the diffusers-style models that InvokeAI knows about.
-  If you do not see the model you are looking for, then it is probably
-  a legacy checkpoint model and needs to be converted using the
-  `invoke` command-line client and its `!optimize` command. You
-  must select at least two models to merge. The third can be left at
-  "None" if you desire.
-
-* Alpha -- This is the ratio to use when combining models. It ranges
-  from 0 to 1. The higher the value, the more weight is given to the
-  2d and (optionally) 3d models. So if you have two models named "A"
-  and "B", an alpha value of 0.25 will give you a merged model that is
-  25% A and 75% B.
-
-* Interpolation Method -- This is the method used to combine
-  weights. The options are "weighted_sum" (the default), "sigmoid",
-  "inv_sigmoid" and "add_difference". Each produces slightly different
-  results. When three models are in use, only "add_difference" is
-  available. (TODO: cite a reference that describes what these
-  interpolation methods actually do and how to decide among them).
-
-* Force -- Not all models are compatible with each other. The merge
-  script will check for compatibility and refuse to merge ones that
-  are incompatible. Set this checkbox to try merging anyway.
-
-* Name for merged model - This is the name for the new model. Please
-  use InvokeAI conventions - only alphanumeric letters and the
-  characters ".+-".
 

From 5cbdcdaa1fbda8b568a052e7c6902e62ea1ea0c2 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Thu, 7 Sep 2023 20:59:27 +1000
Subject: [PATCH 084/265] adding nodes

---
 docs/nodes/communityNodes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/nodes/communityNodes.md b/docs/nodes/communityNodes.md
index a904d67e71..c48c971098 100644
--- a/docs/nodes/communityNodes.md
+++ b/docs/nodes/communityNodes.md
@@ -4,7 +4,7 @@ These are nodes that have been developed by the community, for the community. If
 
 If you'd like to submit a node for the community, please refer to the [node creation overview](contributingNodes.md).
 
-To download a node, simply download the `.py` node file from the link and add it to the `invokeai/app/invocations` folder in your Invoke AI install location's `.venv` folder. Along with the node, an example node graph should be provided to help you get started with the node. 
+To download a node, simply download the `.py` node file from the link and add it to the `invokeai/app/invocations` folder in your Invoke AI install location. If you used the automated installation, this can be found inside the `.venv` folder. Along with the node, an example node graph should be provided to help you get started with the node. 
 
 To use a community workflow, download the the `.json` node graph file and load it into Invoke AI via the **Load Workflow** button in the Workflow Editor. 
 

From 77a4fabc66b6661a685b845fdb186aac4d9e8e48 Mon Sep 17 00:00:00 2001
From: Millun Atluri <Millu@users.noreply.github.com>
Date: Mon, 11 Sep 2023 18:42:07 +1000
Subject: [PATCH 085/265] Update contributingNodes.md with correct community
 nodes link

---
 docs/nodes/contributingNodes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/nodes/contributingNodes.md b/docs/nodes/contributingNodes.md
index 1c0ce812c5..c58a56e4e6 100644
--- a/docs/nodes/contributingNodes.md
+++ b/docs/nodes/contributingNodes.md
@@ -5,7 +5,7 @@ To learn about the specifics of creating a new node, please visit our [Node crea
 Once you’ve created a node and confirmed that it behaves as expected locally, follow these steps: 
 
 - Make sure the node is contained in a new Python (.py) file. Preferrably, the node is in a repo with a README detaling the nodes usage & examples to help others more easily use your node.
-- Submit a pull request with a link to your node(s) repo in GitHub against the `main` branch to add the node to the [Community Nodes](Community Nodes) list
+- Submit a pull request with a link to your node(s) repo in GitHub against the `main` branch to add the node to the [Community Nodes](communityNodes.md) list
     - Make sure you are following the template below and have provided all relevant details about the node and what it does. Example output images and workflows are very helpful for other users looking to use your node.
 - A maintainer will review the pull request and node. If the node is aligned with the direction of the project, you may be asked for permission to include it in the core project.
 

From fafa21569af123856e0caea3f92cdaf3441ff130 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Fri, 18 Aug 2023 08:51:07 -0400
Subject: [PATCH 086/265] Adding isort GHA and pre-commit hooks

---
 .github/workflows/style-checks.yml | 6 ++----
 .pre-commit-config.yaml            | 7 +++++++
 2 files changed, 9 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/style-checks.yml b/.github/workflows/style-checks.yml
index 96e1df406b..08ff8ba402 100644
--- a/.github/workflows/style-checks.yml
+++ b/.github/workflows/style-checks.yml
@@ -1,6 +1,4 @@
 name: style checks
-# just formatting and flake8 for now
-# TODO: add isort later
 
 on:
   pull_request:
@@ -20,8 +18,8 @@ jobs:
 
       - name: Install dependencies with pip
         run: |
-          pip install black flake8 Flake8-pyproject
+          pip install black flake8 Flake8-pyproject isort
 
-      # - run: isort --check-only .
+      - run: isort --check-only .
       - run: black --check .
       - run: flake8
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 9ef8b79e77..6cff07a959 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -15,3 +15,10 @@ repos:
     language: system
     entry: flake8
     types: [python]
+
+  - id: isort
+    name: isort
+    stages: [commit]
+    language: system
+    entry: isort
+    types: [python]
\ No newline at end of file

From 4390a051ca8a1201462772b0a681472f4a8c2b1b Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Fri, 18 Aug 2023 10:57:02 -0400
Subject: [PATCH 087/265] isort wip

---
 pyproject.toml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pyproject.toml b/pyproject.toml
index 4b06944b33..c12573aed5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -101,6 +101,7 @@ dependencies = [
   "black",
   "flake8",
   "Flake8-pyproject",
+  "isort",
   "pytest>6.0.0",
   "pytest-cov",
   "pytest-datadir",

From 5615c317991bf6c0e4083e197e875992af1e92d8 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Fri, 18 Aug 2023 10:57:18 -0400
Subject: [PATCH 088/265] isort wip

---
 invokeai/app/api/dependencies.py              | 16 ++++-----
 invokeai/app/api/routers/images.py            |  9 ++---
 invokeai/app/api/routers/models.py            |  8 ++---
 invokeai/app/api/routers/sessions.py          |  8 +----
 invokeai/app/cli/commands.py                  | 10 +++---
 invokeai/app/cli/completer.py                 |  6 ++--
 invokeai/app/invocations/compel.py            |  5 ++-
 .../controlnet_image_processors.py            |  4 +--
 invokeai/app/invocations/cv.py                |  2 +-
 invokeai/app/invocations/onnx.py              |  2 +-
 invokeai/app/invocations/param_easing.py      |  1 -
 invokeai/app/invocations/upscale.py           |  2 +-
 .../services/board_image_record_storage.py    |  7 ++--
 invokeai/app/services/board_images.py         |  7 ++--
 invokeai/app/services/board_record_storage.py | 10 +++---
 invokeai/app/services/boards.py               | 13 ++-----
 invokeai/app/services/default_graphs.py       |  7 ++--
 invokeai/app/services/events.py               |  8 ++---
 invokeai/app/services/image_record_storage.py |  6 +---
 invokeai/app/services/images.py               |  7 +---
 invokeai/app/services/invocation_queue.py     |  2 +-
 invokeai/app/services/invocation_services.py  | 16 +++++----
 invokeai/app/services/invocation_stats.py     |  4 +--
 invokeai/app/services/latent_storage.py       |  2 +-
 .../app/services/model_manager_service.py     | 35 ++++++++++---------
 invokeai/app/services/models/board_record.py  |  4 ++-
 invokeai/app/services/resource_name.py        |  2 +-
 invokeai/app/util/controlnet_utils.py         | 12 +++----
 invokeai/app/util/misc.py                     |  1 +
 invokeai/app/util/model_exclude_null.py       |  2 +-
 invokeai/app/util/step_callback.py            |  8 +++--
 invokeai/app/util/thumbnails.py               |  1 +
 invokeai/frontend/install/import_images.py    | 18 +++++-----
 invokeai/frontend/install/invokeai_update.py  |  1 +
 invokeai/frontend/install/model_install.py    | 25 ++++++-------
 invokeai/frontend/install/widgets.py          | 11 +++---
 invokeai/frontend/legacy_launch_invokeai.py   |  2 +-
 invokeai/frontend/merge/merge_diffusers.py    |  9 ++---
 .../frontend/training/textual_inversion.py    |  2 +-
 pyproject.toml                                |  4 +++
 tests/nodes/test_graph_execution_state.py     | 34 ++++++++----------
 tests/nodes/test_invoker.py                   | 26 +++++++-------
 tests/nodes/test_node_graph.py                | 21 ++++++++++-
 tests/nodes/test_nodes.py                     |  2 +-
 tests/nodes/test_sqlite.py                    |  3 +-
 tests/test_config.py                          |  3 +-
 tests/test_model_manager.py                   |  2 +-
 tests/test_path.py                            |  7 ++--
 48 files changed, 185 insertions(+), 212 deletions(-)

diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py
index 39642df19b..3a54280234 100644
--- a/invokeai/app/api/dependencies.py
+++ b/invokeai/app/api/dependencies.py
@@ -1,13 +1,9 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
 from logging import Logger
-from invokeai.app.services.board_image_record_storage import (
-    SqliteBoardImageRecordStorage,
-)
-from invokeai.app.services.board_images import (
-    BoardImagesService,
-    BoardImagesServiceDependencies,
-)
+
+from invokeai.app.services.board_image_record_storage import SqliteBoardImageRecordStorage
+from invokeai.app.services.board_images import BoardImagesService, BoardImagesServiceDependencies
 from invokeai.app.services.board_record_storage import SqliteBoardRecordStorage
 from invokeai.app.services.boards import BoardService, BoardServiceDependencies
 from invokeai.app.services.config import InvokeAIAppConfig
@@ -19,16 +15,16 @@ from invokeai.backend.util.logging import InvokeAILogger
 from invokeai.version.invokeai_version import __version__
 
 from ..services.default_graphs import create_system_graphs
-from ..services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsStorage
 from ..services.graph import GraphExecutionState, LibraryGraph
 from ..services.image_file_storage import DiskImageFileStorage
 from ..services.invocation_queue import MemoryInvocationQueue
 from ..services.invocation_services import InvocationServices
+from ..services.invocation_stats import InvocationStatsService
 from ..services.invoker import Invoker
+from ..services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsStorage
+from ..services.model_manager_service import ModelManagerService
 from ..services.processor import DefaultInvocationProcessor
 from ..services.sqlite import SqliteItemStorage
-from ..services.model_manager_service import ModelManagerService
-from ..services.invocation_stats import InvocationStatsService
 from .events import FastAPIEventService
 
 
diff --git a/invokeai/app/api/routers/images.py b/invokeai/app/api/routers/images.py
index 72ce94e9cf..7e798a3658 100644
--- a/invokeai/app/api/routers/images.py
+++ b/invokeai/app/api/routers/images.py
@@ -1,20 +1,17 @@
 import io
 from typing import Optional
 
-from PIL import Image
 from fastapi import Body, HTTPException, Path, Query, Request, Response, UploadFile
 from fastapi.responses import FileResponse
 from fastapi.routing import APIRouter
+from PIL import Image
 from pydantic import BaseModel, Field
 
 from invokeai.app.invocations.metadata import ImageMetadata
 from invokeai.app.models.image import ImageCategory, ResourceOrigin
 from invokeai.app.services.image_record_storage import OffsetPaginatedResults
-from invokeai.app.services.models.image_record import (
-    ImageDTO,
-    ImageRecordChanges,
-    ImageUrlsDTO,
-)
+from invokeai.app.services.models.image_record import ImageDTO, ImageRecordChanges, ImageUrlsDTO
+
 from ..dependencies import ApiDependencies
 
 images_router = APIRouter(prefix="/v1/images", tags=["images"])
diff --git a/invokeai/app/api/routers/models.py b/invokeai/app/api/routers/models.py
index b6c1edbbe1..276eda902d 100644
--- a/invokeai/app/api/routers/models.py
+++ b/invokeai/app/api/routers/models.py
@@ -2,7 +2,7 @@
 
 
 import pathlib
-from typing import Literal, List, Optional, Union
+from typing import List, Literal, Optional, Union
 
 from fastapi import Body, Path, Query, Response
 from fastapi.routing import APIRouter
@@ -10,13 +10,13 @@ from pydantic import BaseModel, parse_obj_as
 from starlette.exceptions import HTTPException
 
 from invokeai.backend import BaseModelType, ModelType
+from invokeai.backend.model_management import MergeInterpolationMethod
 from invokeai.backend.model_management.models import (
     OPENAPI_MODEL_CONFIGS,
-    SchedulerPredictionType,
-    ModelNotFoundException,
     InvalidModelException,
+    ModelNotFoundException,
+    SchedulerPredictionType,
 )
-from invokeai.backend.model_management import MergeInterpolationMethod
 
 from ..dependencies import ApiDependencies
 
diff --git a/invokeai/app/api/routers/sessions.py b/invokeai/app/api/routers/sessions.py
index d5624048e8..e950e46e9f 100644
--- a/invokeai/app/api/routers/sessions.py
+++ b/invokeai/app/api/routers/sessions.py
@@ -9,13 +9,7 @@ from pydantic.fields import Field
 # Importing * is bad karma but needed here for node detection
 from ...invocations import *  # noqa: F401 F403
 from ...invocations.baseinvocation import BaseInvocation
-from ...services.graph import (
-    Edge,
-    EdgeConnection,
-    Graph,
-    GraphExecutionState,
-    NodeAlreadyExecutedError,
-)
+from ...services.graph import Edge, EdgeConnection, Graph, GraphExecutionState, NodeAlreadyExecutedError
 from ...services.item_storage import PaginatedResults
 from ..dependencies import ApiDependencies
 
diff --git a/invokeai/app/cli/commands.py b/invokeai/app/cli/commands.py
index 64ea6034fc..b000abcf6a 100644
--- a/invokeai/app/cli/commands.py
+++ b/invokeai/app/cli/commands.py
@@ -1,16 +1,18 @@
 # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
 
-from abc import ABC, abstractmethod
 import argparse
+from abc import ABC, abstractmethod
 from typing import Any, Callable, Iterable, Literal, Union, get_args, get_origin, get_type_hints
-from pydantic import BaseModel, Field
-import networkx as nx
+
 import matplotlib.pyplot as plt
+import networkx as nx
+from pydantic import BaseModel, Field
 
 import invokeai.backend.util.logging as logger
+
 from ..invocations.baseinvocation import BaseInvocation
 from ..invocations.image import ImageField
-from ..services.graph import GraphExecutionState, LibraryGraph, Edge
+from ..services.graph import Edge, GraphExecutionState, LibraryGraph
 from ..services.invoker import Invoker
 
 
diff --git a/invokeai/app/cli/completer.py b/invokeai/app/cli/completer.py
index 086d8713d7..5aece8a058 100644
--- a/invokeai/app/cli/completer.py
+++ b/invokeai/app/cli/completer.py
@@ -6,15 +6,15 @@ completer object.
 import atexit
 import readline
 import shlex
-
 from pathlib import Path
-from typing import List, Dict, Literal, get_args, get_type_hints, get_origin
+from typing import Dict, List, Literal, get_args, get_origin, get_type_hints
 
 import invokeai.backend.util.logging as logger
+
 from ...backend import ModelManager
 from ..invocations.baseinvocation import BaseInvocation
-from .commands import BaseCommand
 from ..services.invocation_services import InvocationServices
+from .commands import BaseCommand
 
 # singleton object, class variable
 completer = None
diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 4557c57820..3fdbf9b6e9 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -5,16 +5,15 @@ from typing import List, Union
 import torch
 from compel import Compel, ReturnedEmbeddingsType
 from compel.prompt_parser import Blend, Conjunction, CrossAttentionControlSubstitute, FlattenedPrompt, Fragment
-from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput
 
+from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput
 from invokeai.backend.stable_diffusion.diffusion.shared_invokeai_diffusion import (
     BasicConditioningInfo,
     SDXLConditioningInfo,
 )
 
-from ...backend.model_management.models import ModelType
 from ...backend.model_management.lora import ModelPatcher
-from ...backend.model_management.models import ModelNotFoundException
+from ...backend.model_management.models import ModelNotFoundException, ModelType
 from ...backend.stable_diffusion.diffusion import InvokeAIDiffuserComponent
 from ...backend.util.devices import torch_dtype
 from .baseinvocation import (
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 2c2eab9155..7f81c0bc7e 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -28,15 +28,14 @@ from pydantic import BaseModel, Field, validator
 
 from invokeai.app.invocations.primitives import ImageField, ImageOutput
 
-
 from ...backend.model_management import BaseModelType
 from ..models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
     FieldDescriptions,
-    InputField,
     Input,
+    InputField,
     InvocationContext,
     OutputField,
     UIType,
@@ -44,7 +43,6 @@ from .baseinvocation import (
     invocation_output,
 )
 
-
 CONTROLNET_MODE_VALUES = Literal["balanced", "more_prompt", "more_control", "unbalanced"]
 CONTROLNET_RESIZE_VALUES = Literal[
     "just_resize",
diff --git a/invokeai/app/invocations/cv.py b/invokeai/app/invocations/cv.py
index 411aff8234..866b1c7894 100644
--- a/invokeai/app/invocations/cv.py
+++ b/invokeai/app/invocations/cv.py
@@ -4,8 +4,8 @@
 import cv2 as cv
 import numpy
 from PIL import Image, ImageOps
-from invokeai.app.invocations.primitives import ImageField, ImageOutput
 
+from invokeai.app.invocations.primitives import ImageField, ImageOutput
 from invokeai.app.models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import BaseInvocation, InputField, InvocationContext, invocation
 
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index d346a5f58f..213ce82a75 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -25,8 +25,8 @@ from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
     FieldDescriptions,
-    InputField,
     Input,
+    InputField,
     InvocationContext,
     OutputField,
     UIComponent,
diff --git a/invokeai/app/invocations/param_easing.py b/invokeai/app/invocations/param_easing.py
index 9cfe447372..7c327a6657 100644
--- a/invokeai/app/invocations/param_easing.py
+++ b/invokeai/app/invocations/param_easing.py
@@ -3,7 +3,6 @@ from typing import Literal, Optional
 
 import matplotlib.pyplot as plt
 import numpy as np
-
 import PIL.Image
 from easing_functions import (
     BackEaseIn,
diff --git a/invokeai/app/invocations/upscale.py b/invokeai/app/invocations/upscale.py
index 7dca6d9f21..9dc2eed2c1 100644
--- a/invokeai/app/invocations/upscale.py
+++ b/invokeai/app/invocations/upscale.py
@@ -7,8 +7,8 @@ import numpy as np
 from basicsr.archs.rrdbnet_arch import RRDBNet
 from PIL import Image
 from realesrgan import RealESRGANer
-from invokeai.app.invocations.primitives import ImageField, ImageOutput
 
+from invokeai.app.invocations.primitives import ImageField, ImageOutput
 from invokeai.app.models.image import ImageCategory, ResourceOrigin
 
 from .baseinvocation import BaseInvocation, InputField, InvocationContext, invocation
diff --git a/invokeai/app/services/board_image_record_storage.py b/invokeai/app/services/board_image_record_storage.py
index 03badf9866..d35f9f2179 100644
--- a/invokeai/app/services/board_image_record_storage.py
+++ b/invokeai/app/services/board_image_record_storage.py
@@ -1,13 +1,10 @@
-from abc import ABC, abstractmethod
 import sqlite3
 import threading
+from abc import ABC, abstractmethod
 from typing import Optional, cast
 
 from invokeai.app.services.image_record_storage import OffsetPaginatedResults
-from invokeai.app.services.models.image_record import (
-    ImageRecord,
-    deserialize_image_record,
-)
+from invokeai.app.services.models.image_record import ImageRecord, deserialize_image_record
 
 
 class BoardImageRecordStorageBase(ABC):
diff --git a/invokeai/app/services/board_images.py b/invokeai/app/services/board_images.py
index 7c6995dfc8..788722ec37 100644
--- a/invokeai/app/services/board_images.py
+++ b/invokeai/app/services/board_images.py
@@ -1,12 +1,9 @@
 from abc import ABC, abstractmethod
 from logging import Logger
 from typing import Optional
-from invokeai.app.services.board_image_record_storage import BoardImageRecordStorageBase
-from invokeai.app.services.board_record_storage import (
-    BoardRecord,
-    BoardRecordStorageBase,
-)
 
+from invokeai.app.services.board_image_record_storage import BoardImageRecordStorageBase
+from invokeai.app.services.board_record_storage import BoardRecord, BoardRecordStorageBase
 from invokeai.app.services.image_record_storage import ImageRecordStorageBase
 from invokeai.app.services.models.board_record import BoardDTO
 from invokeai.app.services.urls import UrlServiceBase
diff --git a/invokeai/app/services/board_record_storage.py b/invokeai/app/services/board_record_storage.py
index 593bb3e7b9..f4876b6935 100644
--- a/invokeai/app/services/board_record_storage.py
+++ b/invokeai/app/services/board_record_storage.py
@@ -1,15 +1,13 @@
+import sqlite3
 import threading
 import uuid
 from abc import ABC, abstractmethod
 from typing import Optional, Union, cast
 
-import sqlite3
+from pydantic import BaseModel, Extra, Field
+
 from invokeai.app.services.image_record_storage import OffsetPaginatedResults
-from invokeai.app.services.models.board_record import (
-    BoardRecord,
-    deserialize_board_record,
-)
-from pydantic import BaseModel, Field, Extra
+from invokeai.app.services.models.board_record import BoardRecord, deserialize_board_record
 
 
 class BoardChanges(BaseModel, extra=Extra.forbid):
diff --git a/invokeai/app/services/boards.py b/invokeai/app/services/boards.py
index 53d30b2e85..e7a516da65 100644
--- a/invokeai/app/services/boards.py
+++ b/invokeai/app/services/boards.py
@@ -1,17 +1,10 @@
 from abc import ABC, abstractmethod
-
 from logging import Logger
+
 from invokeai.app.services.board_image_record_storage import BoardImageRecordStorageBase
 from invokeai.app.services.board_images import board_record_to_dto
-
-from invokeai.app.services.board_record_storage import (
-    BoardChanges,
-    BoardRecordStorageBase,
-)
-from invokeai.app.services.image_record_storage import (
-    ImageRecordStorageBase,
-    OffsetPaginatedResults,
-)
+from invokeai.app.services.board_record_storage import BoardChanges, BoardRecordStorageBase
+from invokeai.app.services.image_record_storage import ImageRecordStorageBase, OffsetPaginatedResults
 from invokeai.app.services.models.board_record import BoardDTO
 from invokeai.app.services.urls import UrlServiceBase
 
diff --git a/invokeai/app/services/default_graphs.py b/invokeai/app/services/default_graphs.py
index 5e1a594b91..2677060655 100644
--- a/invokeai/app/services/default_graphs.py
+++ b/invokeai/app/services/default_graphs.py
@@ -1,12 +1,11 @@
-from ..invocations.latent import LatentsToImageInvocation, DenoiseLatentsInvocation
-from ..invocations.image import ImageNSFWBlurInvocation
-from ..invocations.noise import NoiseInvocation
 from ..invocations.compel import CompelInvocation
+from ..invocations.image import ImageNSFWBlurInvocation
+from ..invocations.latent import DenoiseLatentsInvocation, LatentsToImageInvocation
+from ..invocations.noise import NoiseInvocation
 from ..invocations.primitives import IntegerInvocation
 from .graph import Edge, EdgeConnection, ExposedNodeInput, ExposedNodeOutput, Graph, LibraryGraph
 from .item_storage import ItemStorageABC
 
-
 default_text_to_image_graph_id = "539b2af5-2b4d-4d8c-8071-e54a3255fc74"
 
 
diff --git a/invokeai/app/services/events.py b/invokeai/app/services/events.py
index a266fe4f18..2bfe9b7c3d 100644
--- a/invokeai/app/services/events.py
+++ b/invokeai/app/services/events.py
@@ -1,14 +1,10 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
 from typing import Any, Optional
+
 from invokeai.app.models.image import ProgressImage
+from invokeai.app.services.model_manager_service import BaseModelType, ModelInfo, ModelType, SubModelType
 from invokeai.app.util.misc import get_timestamp
-from invokeai.app.services.model_manager_service import (
-    BaseModelType,
-    ModelType,
-    SubModelType,
-    ModelInfo,
-)
 
 
 class EventServiceBase:
diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_record_storage.py
index 8f1b25b84a..b9982fcfdc 100644
--- a/invokeai/app/services/image_record_storage.py
+++ b/invokeai/app/services/image_record_storage.py
@@ -9,11 +9,7 @@ from pydantic import BaseModel, Field
 from pydantic.generics import GenericModel
 
 from invokeai.app.models.image import ImageCategory, ResourceOrigin
-from invokeai.app.services.models.image_record import (
-    ImageRecord,
-    ImageRecordChanges,
-    deserialize_image_record,
-)
+from invokeai.app.services.models.image_record import ImageRecord, ImageRecordChanges, deserialize_image_record
 
 T = TypeVar("T", bound=BaseModel)
 
diff --git a/invokeai/app/services/images.py b/invokeai/app/services/images.py
index 4d8e3d6d03..2b0a3d62a5 100644
--- a/invokeai/app/services/images.py
+++ b/invokeai/app/services/images.py
@@ -26,12 +26,7 @@ from invokeai.app.services.image_record_storage import (
     OffsetPaginatedResults,
 )
 from invokeai.app.services.item_storage import ItemStorageABC
-from invokeai.app.services.models.image_record import (
-    ImageDTO,
-    ImageRecord,
-    ImageRecordChanges,
-    image_record_to_dto,
-)
+from invokeai.app.services.models.image_record import ImageDTO, ImageRecord, ImageRecordChanges, image_record_to_dto
 from invokeai.app.services.resource_name import NameServiceBase
 from invokeai.app.services.urls import UrlServiceBase
 from invokeai.app.util.metadata import get_metadata_graph_from_raw_session
diff --git a/invokeai/app/services/invocation_queue.py b/invokeai/app/services/invocation_queue.py
index 963d500aa8..2fe5f60826 100644
--- a/invokeai/app/services/invocation_queue.py
+++ b/invokeai/app/services/invocation_queue.py
@@ -3,9 +3,9 @@
 import time
 from abc import ABC, abstractmethod
 from queue import Queue
+from typing import Optional
 
 from pydantic import BaseModel, Field
-from typing import Optional
 
 
 class InvocationQueueItem(BaseModel):
diff --git a/invokeai/app/services/invocation_services.py b/invokeai/app/services/invocation_services.py
index d717087958..a4ec3573f5 100644
--- a/invokeai/app/services/invocation_services.py
+++ b/invokeai/app/services/invocation_services.py
@@ -1,21 +1,23 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
 from __future__ import annotations
+
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
     from logging import Logger
+
     from invokeai.app.services.board_images import BoardImagesServiceABC
     from invokeai.app.services.boards import BoardServiceABC
-    from invokeai.app.services.images import ImageServiceABC
-    from invokeai.app.services.invocation_stats import InvocationStatsServiceBase
-    from invokeai.app.services.model_manager_service import ModelManagerServiceBase
-    from invokeai.app.services.events import EventServiceBase
-    from invokeai.app.services.latent_storage import LatentsStorageBase
-    from invokeai.app.services.invocation_queue import InvocationQueueABC
-    from invokeai.app.services.item_storage import ItemStorageABC
     from invokeai.app.services.config import InvokeAIAppConfig
+    from invokeai.app.services.events import EventServiceBase
     from invokeai.app.services.graph import GraphExecutionState, LibraryGraph
+    from invokeai.app.services.images import ImageServiceABC
+    from invokeai.app.services.invocation_queue import InvocationQueueABC
+    from invokeai.app.services.invocation_stats import InvocationStatsServiceBase
     from invokeai.app.services.invoker import InvocationProcessorABC
+    from invokeai.app.services.item_storage import ItemStorageABC
+    from invokeai.app.services.latent_storage import LatentsStorageBase
+    from invokeai.app.services.model_manager_service import ModelManagerServiceBase
 
 
 class InvocationServices:
diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index b42d128b51..33932f73aa 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -28,22 +28,22 @@ The abstract base class for this class is InvocationStatsServiceBase. An impleme
 writes to the system log is stored in InvocationServices.performance_statistics.
 """
 
-import psutil
 import time
 from abc import ABC, abstractmethod
 from contextlib import AbstractContextManager
 from dataclasses import dataclass, field
 from typing import Dict
 
+import psutil
 import torch
 
 import invokeai.backend.util.logging as logger
+from invokeai.backend.model_management.model_cache import CacheStats
 
 from ..invocations.baseinvocation import BaseInvocation
 from .graph import GraphExecutionState
 from .item_storage import ItemStorageABC
 from .model_manager_service import ModelManagerService
-from invokeai.backend.model_management.model_cache import CacheStats
 
 # size of GIG in bytes
 GIG = 1073741824
diff --git a/invokeai/app/services/latent_storage.py b/invokeai/app/services/latent_storage.py
index 7c22ea5ba8..f0b1dc9fe7 100644
--- a/invokeai/app/services/latent_storage.py
+++ b/invokeai/app/services/latent_storage.py
@@ -3,7 +3,7 @@
 from abc import ABC, abstractmethod
 from pathlib import Path
 from queue import Queue
-from typing import Dict, Union, Optional
+from typing import Dict, Optional, Union
 
 import torch
 
diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager_service.py
index 11ebab7938..a7745a9253 100644
--- a/invokeai/app/services/model_manager_service.py
+++ b/invokeai/app/services/model_manager_service.py
@@ -5,27 +5,28 @@ from __future__ import annotations
 from abc import ABC, abstractmethod
 from logging import Logger
 from pathlib import Path
-from pydantic import Field
-from typing import Literal, Optional, Union, Callable, List, Tuple, TYPE_CHECKING
 from types import ModuleType
-
-from invokeai.backend.model_management import (
-    ModelManager,
-    BaseModelType,
-    ModelType,
-    SubModelType,
-    ModelInfo,
-    AddModelResult,
-    SchedulerPredictionType,
-    ModelMerger,
-    MergeInterpolationMethod,
-    ModelNotFoundException,
-)
-from invokeai.backend.model_management.model_search import FindModels
-from invokeai.backend.model_management.model_cache import CacheStats
+from typing import TYPE_CHECKING, Callable, List, Literal, Optional, Tuple, Union
 
 import torch
+from pydantic import Field
+
 from invokeai.app.models.exceptions import CanceledException
+from invokeai.backend.model_management import (
+    AddModelResult,
+    BaseModelType,
+    MergeInterpolationMethod,
+    ModelInfo,
+    ModelManager,
+    ModelMerger,
+    ModelNotFoundException,
+    ModelType,
+    SchedulerPredictionType,
+    SubModelType,
+)
+from invokeai.backend.model_management.model_cache import CacheStats
+from invokeai.backend.model_management.model_search import FindModels
+
 from ...backend.util import choose_precision, choose_torch_device
 from .config import InvokeAIAppConfig
 
diff --git a/invokeai/app/services/models/board_record.py b/invokeai/app/services/models/board_record.py
index 53fa299faf..4b93d0ea23 100644
--- a/invokeai/app/services/models/board_record.py
+++ b/invokeai/app/services/models/board_record.py
@@ -1,6 +1,8 @@
-from typing import Optional, Union
 from datetime import datetime
+from typing import Optional, Union
+
 from pydantic import Field
+
 from invokeai.app.util.misc import get_iso_timestamp
 from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
 
diff --git a/invokeai/app/services/resource_name.py b/invokeai/app/services/resource_name.py
index dd5a76cfc0..c89c06edc3 100644
--- a/invokeai/app/services/resource_name.py
+++ b/invokeai/app/services/resource_name.py
@@ -1,6 +1,6 @@
+import uuid
 from abc import ABC, abstractmethod
 from enum import Enum, EnumMeta
-import uuid
 
 
 class ResourceType(str, Enum, metaclass=EnumMeta):
diff --git a/invokeai/app/util/controlnet_utils.py b/invokeai/app/util/controlnet_utils.py
index 1578598687..8516fa8917 100644
--- a/invokeai/app/util/controlnet_utils.py
+++ b/invokeai/app/util/controlnet_utils.py
@@ -1,12 +1,12 @@
 from typing import Union
-import torch
-import numpy as np
-import cv2
-from PIL import Image
-from diffusers.utils import PIL_INTERPOLATION
 
-from einops import rearrange
+import cv2
+import numpy as np
+import torch
 from controlnet_aux.util import HWC3
+from diffusers.utils import PIL_INTERPOLATION
+from einops import rearrange
+from PIL import Image
 
 ###################################################################
 # Copy of scripts/lvminthin.py from Mikubill/sd-webui-controlnet
diff --git a/invokeai/app/util/misc.py b/invokeai/app/util/misc.py
index 8702d86c67..b42b2246b8 100644
--- a/invokeai/app/util/misc.py
+++ b/invokeai/app/util/misc.py
@@ -1,4 +1,5 @@
 import datetime
+
 import numpy as np
 
 
diff --git a/invokeai/app/util/model_exclude_null.py b/invokeai/app/util/model_exclude_null.py
index d864b8fab8..b75f127ec7 100644
--- a/invokeai/app/util/model_exclude_null.py
+++ b/invokeai/app/util/model_exclude_null.py
@@ -1,6 +1,6 @@
 from typing import Any
-from pydantic import BaseModel
 
+from pydantic import BaseModel
 
 """
 We want to exclude null values from objects that make their way to the client.
diff --git a/invokeai/app/util/step_callback.py b/invokeai/app/util/step_callback.py
index f6cccfb4b8..26de809d1c 100644
--- a/invokeai/app/util/step_callback.py
+++ b/invokeai/app/util/step_callback.py
@@ -1,11 +1,13 @@
 import torch
 from PIL import Image
+
 from invokeai.app.models.exceptions import CanceledException
 from invokeai.app.models.image import ProgressImage
-from ..invocations.baseinvocation import InvocationContext
-from ...backend.util.util import image_to_dataURL
-from ...backend.stable_diffusion import PipelineIntermediateState
+
 from ...backend.model_management.models import BaseModelType
+from ...backend.stable_diffusion import PipelineIntermediateState
+from ...backend.util.util import image_to_dataURL
+from ..invocations.baseinvocation import InvocationContext
 
 
 def sample_to_lowres_estimated_image(samples, latent_rgb_factors, smooth_matrix=None):
diff --git a/invokeai/app/util/thumbnails.py b/invokeai/app/util/thumbnails.py
index 42a6fe9962..ad722f197e 100644
--- a/invokeai/app/util/thumbnails.py
+++ b/invokeai/app/util/thumbnails.py
@@ -1,4 +1,5 @@
 import os
+
 from PIL import Image
 
 
diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py
index c0db81e141..e3f9ea84f3 100644
--- a/invokeai/frontend/install/import_images.py
+++ b/invokeai/frontend/install/import_images.py
@@ -6,25 +6,25 @@
 # pylint: disable=broad-exception-caught
 """Script to import images into the new database system for 3.0.0"""
 
-import os
 import datetime
-import shutil
-import locale
-import sqlite3
-import json
 import glob
+import json
+import locale
+import os
 import re
+import shutil
+import sqlite3
 import uuid
-import yaml
+from pathlib import Path
+
 import PIL
 import PIL.ImageOps
 import PIL.PngImagePlugin
-
-from pathlib import Path
+import yaml
 from prompt_toolkit import prompt
-from prompt_toolkit.shortcuts import message_dialog
 from prompt_toolkit.completion import PathCompleter
 from prompt_toolkit.key_binding import KeyBindings
+from prompt_toolkit.shortcuts import message_dialog
 
 from invokeai.app.services.config import InvokeAIAppConfig
 
diff --git a/invokeai/frontend/install/invokeai_update.py b/invokeai/frontend/install/invokeai_update.py
index 45a0e8ec0a..87661da79f 100644
--- a/invokeai/frontend/install/invokeai_update.py
+++ b/invokeai/frontend/install/invokeai_update.py
@@ -4,6 +4,7 @@ pip install <path_to_git_source>.
 """
 import os
 import platform
+
 import pkg_resources
 import psutil
 import requests
diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py
index 6e4440abef..fae67df736 100644
--- a/invokeai/frontend/install/model_install.py
+++ b/invokeai/frontend/install/model_install.py
@@ -11,6 +11,7 @@ The work is actually done in backend code in model_install_backend.py.
 
 import argparse
 import curses
+import logging
 import sys
 import textwrap
 import traceback
@@ -20,34 +21,28 @@ from multiprocessing.connection import Connection, Pipe
 from pathlib import Path
 from shutil import get_terminal_size
 
-import logging
 import npyscreen
 import torch
 from npyscreen import widget
 
-from invokeai.backend.util.logging import InvokeAILogger
-
-from invokeai.backend.install.model_install_backend import (
-    InstallSelections,
-    ModelInstall,
-    SchedulerPredictionType,
-)
+from invokeai.app.services.config import InvokeAIAppConfig
+from invokeai.backend.install.model_install_backend import InstallSelections, ModelInstall, SchedulerPredictionType
 from invokeai.backend.model_management import ModelManager, ModelType
 from invokeai.backend.util import choose_precision, choose_torch_device
+from invokeai.backend.util.logging import InvokeAILogger
 from invokeai.frontend.install.widgets import (
+    MIN_COLS,
+    MIN_LINES,
+    BufferBox,
     CenteredTitleText,
+    CyclingForm,
     MultiSelectColumns,
     SingleSelectColumns,
     TextBox,
-    BufferBox,
-    set_min_terminal_size,
-    select_stable_diffusion_config_file,
-    CyclingForm,
-    MIN_COLS,
-    MIN_LINES,
     WindowTooSmallException,
+    select_stable_diffusion_config_file,
+    set_min_terminal_size,
 )
-from invokeai.app.services.config import InvokeAIAppConfig
 
 config = InvokeAIAppConfig.get_config()
 logger = InvokeAILogger.getLogger()
diff --git a/invokeai/frontend/install/widgets.py b/invokeai/frontend/install/widgets.py
index 9eefd93e09..06d5473fa3 100644
--- a/invokeai/frontend/install/widgets.py
+++ b/invokeai/frontend/install/widgets.py
@@ -5,16 +5,17 @@ import curses
 import math
 import os
 import platform
-import pyperclip
 import struct
 import subprocess
 import sys
-import npyscreen
 import textwrap
-import npyscreen.wgmultiline as wgmultiline
-from npyscreen import fmPopup
-from shutil import get_terminal_size
 from curses import BUTTON2_CLICKED, BUTTON3_CLICKED
+from shutil import get_terminal_size
+
+import npyscreen
+import npyscreen.wgmultiline as wgmultiline
+import pyperclip
+from npyscreen import fmPopup
 
 # minimum size for UIs
 MIN_COLS = 150
diff --git a/invokeai/frontend/legacy_launch_invokeai.py b/invokeai/frontend/legacy_launch_invokeai.py
index e1e7dc26ab..9e4cca7eac 100644
--- a/invokeai/frontend/legacy_launch_invokeai.py
+++ b/invokeai/frontend/legacy_launch_invokeai.py
@@ -1,5 +1,5 @@
-import sys
 import argparse
+import sys
 
 
 def main():
diff --git a/invokeai/frontend/merge/merge_diffusers.py b/invokeai/frontend/merge/merge_diffusers.py
index ada8eed644..8fa02cb49c 100644
--- a/invokeai/frontend/merge/merge_diffusers.py
+++ b/invokeai/frontend/merge/merge_diffusers.py
@@ -16,13 +16,8 @@ from npyscreen import widget
 
 import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.backend.model_management import (
-    ModelMerger,
-    ModelManager,
-    ModelType,
-    BaseModelType,
-)
-from invokeai.frontend.install.widgets import FloatTitleSlider, TextBox, SingleSelectColumns
+from invokeai.backend.model_management import BaseModelType, ModelManager, ModelMerger, ModelType
+from invokeai.frontend.install.widgets import FloatTitleSlider, SingleSelectColumns, TextBox
 
 config = InvokeAIAppConfig.get_config()
 
diff --git a/invokeai/frontend/training/textual_inversion.py b/invokeai/frontend/training/textual_inversion.py
index 12f4db8e7b..f3911f7e0e 100755
--- a/invokeai/frontend/training/textual_inversion.py
+++ b/invokeai/frontend/training/textual_inversion.py
@@ -21,8 +21,8 @@ from npyscreen import widget
 from omegaconf import OmegaConf
 
 import invokeai.backend.util.logging as logger
-
 from invokeai.app.services.config import InvokeAIAppConfig
+
 from ...backend.training import do_textual_inversion_training, parse_args
 
 TRAINING_DATA = "text-inversion-training-data"
diff --git a/pyproject.toml b/pyproject.toml
index c12573aed5..6cf9e3632a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -200,3 +200,7 @@ select = ["B", "C", "E", "F", "W", "T4"]
 
 [tool.black]
 line-length = 120
+
+[tool.isort]
+profile = "black"
+line_length = 120
diff --git a/tests/nodes/test_graph_execution_state.py b/tests/nodes/test_graph_execution_state.py
index cdb9815f83..603e0369be 100644
--- a/tests/nodes/test_graph_execution_state.py
+++ b/tests/nodes/test_graph_execution_state.py
@@ -1,30 +1,24 @@
-from .test_invoker import create_edge
-from .test_nodes import (
+import pytest
+
+# This import must happen before other invoke imports or test in other files(!!) break
+from .test_nodes import (  # isort: split
+    PromptCollectionTestInvocation,
+    PromptTestInvocation,
     TestEventService,
     TextToImageTestInvocation,
-    PromptTestInvocation,
-    PromptCollectionTestInvocation,
-)
-from invokeai.app.services.invocation_queue import MemoryInvocationQueue
-from invokeai.app.services.processor import DefaultInvocationProcessor
-from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
-from invokeai.app.invocations.baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    InvocationContext,
 )
+
+from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
 from invokeai.app.invocations.collections import RangeInvocation
 from invokeai.app.invocations.math import AddInvocation, MultiplyInvocation
+from invokeai.app.services.graph import CollectInvocation, Graph, GraphExecutionState, IterateInvocation, LibraryGraph
+from invokeai.app.services.invocation_queue import MemoryInvocationQueue
 from invokeai.app.services.invocation_services import InvocationServices
 from invokeai.app.services.invocation_stats import InvocationStatsService
-from invokeai.app.services.graph import (
-    Graph,
-    CollectInvocation,
-    IterateInvocation,
-    GraphExecutionState,
-    LibraryGraph,
-)
-import pytest
+from invokeai.app.services.processor import DefaultInvocationProcessor
+from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
+
+from .test_invoker import create_edge
 
 
 @pytest.fixture
diff --git a/tests/nodes/test_invoker.py b/tests/nodes/test_invoker.py
index 5985c7e8bb..aa0e29598c 100644
--- a/tests/nodes/test_invoker.py
+++ b/tests/nodes/test_invoker.py
@@ -1,23 +1,21 @@
+import pytest
+
+from invokeai.app.services.graph import Graph, GraphExecutionState, LibraryGraph
+from invokeai.app.services.invocation_queue import MemoryInvocationQueue
+from invokeai.app.services.invocation_services import InvocationServices
+from invokeai.app.services.invocation_stats import InvocationStatsService
+from invokeai.app.services.invoker import Invoker
+from invokeai.app.services.processor import DefaultInvocationProcessor
+from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
+
 from .test_nodes import (
-    TestEventService,
     ErrorInvocation,
-    TextToImageTestInvocation,
     PromptTestInvocation,
+    TestEventService,
+    TextToImageTestInvocation,
     create_edge,
     wait_until,
 )
-from invokeai.app.services.invocation_queue import MemoryInvocationQueue
-from invokeai.app.services.processor import DefaultInvocationProcessor
-from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
-from invokeai.app.services.invoker import Invoker
-from invokeai.app.services.invocation_services import InvocationServices
-from invokeai.app.services.invocation_stats import InvocationStatsService
-from invokeai.app.services.graph import (
-    Graph,
-    GraphExecutionState,
-    LibraryGraph,
-)
-import pytest
 
 
 @pytest.fixture
diff --git a/tests/nodes/test_node_graph.py b/tests/nodes/test_node_graph.py
index 0e1be8f343..cce2fae9ed 100644
--- a/tests/nodes/test_node_graph.py
+++ b/tests/nodes/test_node_graph.py
@@ -1,3 +1,4 @@
+import pytest
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
@@ -29,7 +30,25 @@ from invokeai.app.invocations.image import ShowImageInvocation
 from invokeai.app.invocations.math import AddInvocation, SubtractInvocation
 from invokeai.app.invocations.primitives import FloatInvocation, IntegerInvocation
 from invokeai.app.services.default_graphs import create_text_to_image
-import pytest
+from invokeai.app.services.graph import (
+    CollectInvocation,
+    Edge,
+    EdgeConnection,
+    Graph,
+    GraphInvocation,
+    InvalidEdgeError,
+    IterateInvocation,
+    NodeAlreadyInGraphError,
+    NodeNotFoundError,
+    are_connections_compatible,
+)
+
+from .test_nodes import (
+    ImageToImageTestInvocation,
+    ListPassThroughInvocation,
+    PromptTestInvocation,
+    TextToImageTestInvocation,
+)
 
 
 # Helpers
diff --git a/tests/nodes/test_nodes.py b/tests/nodes/test_nodes.py
index 26b8b2b565..3a28c53819 100644
--- a/tests/nodes/test_nodes.py
+++ b/tests/nodes/test_nodes.py
@@ -78,7 +78,7 @@ class PromptCollectionTestInvocation(BaseInvocation):
         return PromptCollectionTestInvocationOutput(collection=self.collection.copy())
 
 
-# Importing these at the top breaks previous tests
+# Importing these must happen after test invocations are defined or they won't register
 from invokeai.app.services.events import EventServiceBase  # noqa: E402
 from invokeai.app.services.graph import Edge, EdgeConnection  # noqa: E402
 
diff --git a/tests/nodes/test_sqlite.py b/tests/nodes/test_sqlite.py
index a9eb542e44..91e4bd0c58 100644
--- a/tests/nodes/test_sqlite.py
+++ b/tests/nodes/test_sqlite.py
@@ -1,6 +1,7 @@
-from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
 from pydantic import BaseModel, Field
 
+from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
+
 
 class TestModel(BaseModel):
     id: str = Field(description="ID")
diff --git a/tests/test_config.py b/tests/test_config.py
index 3c1646d860..d915316a10 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -6,8 +6,6 @@ import pytest
 from omegaconf import OmegaConf
 from pydantic import ValidationError
 
-from invokeai.app.services.config import InvokeAIAppConfig
-
 
 @pytest.fixture
 def patch_rootdir(tmp_path: Path, monkeypatch: Any) -> None:
@@ -166,6 +164,7 @@ def test_type_coercion(patch_rootdir):
     """
 )
 def test_deny_nodes(patch_rootdir):
+    from invokeai.app.services.config import InvokeAIAppConfig
     # Allow integer, string and float, but explicitly deny float
     allow_deny_nodes_conf = OmegaConf.create(
         """
diff --git a/tests/test_model_manager.py b/tests/test_model_manager.py
index 4aa2c4d3b2..5a28862e1f 100644
--- a/tests/test_model_manager.py
+++ b/tests/test_model_manager.py
@@ -3,7 +3,7 @@ from pathlib import Path
 import pytest
 
 from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.backend import ModelManager, BaseModelType, ModelType, SubModelType
+from invokeai.backend import BaseModelType, ModelManager, ModelType, SubModelType
 
 BASIC_MODEL_NAME = ("SDXL base", BaseModelType.StableDiffusionXL, ModelType.Main)
 VAE_OVERRIDE_MODEL_NAME = ("SDXL with VAE", BaseModelType.StableDiffusionXL, ModelType.Main)
diff --git a/tests/test_path.py b/tests/test_path.py
index 0da5f2f8dc..4c502acdcc 100644
--- a/tests/test_path.py
+++ b/tests/test_path.py
@@ -2,14 +2,15 @@
 Not really a test, but a way to verify that the paths are existing
 and fail early if they are not.
 """
-import unittest
 import pathlib
+import unittest
 from os import path as osp
+
 from PIL import Image
 
-import invokeai.frontend.web.dist as frontend
-import invokeai.configs as configs
 import invokeai.app.assets.images as image_assets
+import invokeai.configs as configs
+import invokeai.frontend.web.dist as frontend
 
 
 class ConfigsTestCase(unittest.TestCase):

From caea6d11c6737267bda61b77e24f44ec3bb2aca6 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Fri, 18 Aug 2023 11:13:28 -0400
Subject: [PATCH 089/265] isort wip 2

---
 installer/lib/main.py                         |  1 +
 invokeai/backend/__init__.py                  |  2 +-
 .../backend/image_util/invisible_watermark.py |  7 ++--
 invokeai/backend/image_util/patchmatch.py     |  1 +
 invokeai/backend/image_util/safety_checker.py |  7 ++--
 invokeai/backend/install/check_root.py        |  5 +--
 .../backend/install/invokeai_configure.py     | 40 ++++++++-----------
 invokeai/backend/install/migrate_to_3.py      | 23 ++++-------
 .../backend/install/model_install_backend.py  | 14 +++----
 .../model_management/models/__init__.py       | 27 +++++++------
 .../backend/model_management/models/base.py   | 20 ++++------
 .../model_management/models/controlnet.py     | 21 +++++-----
 .../backend/model_management/models/sdxl.py   | 16 ++++----
 .../models/stable_diffusion.py                | 37 +++++++++--------
 .../models/stable_diffusion_onnx.py           |  7 ++--
 .../models/textual_inversion.py               | 23 ++++++-----
 .../backend/model_management/models/vae.py    | 19 ++++-----
 invokeai/backend/stable_diffusion/__init__.py |  2 +-
 .../stable_diffusion/diffusers_pipeline.py    | 10 ++---
 .../stable_diffusion/diffusion/__init__.py    |  2 +-
 .../diffusion/cross_attention_control.py      |  8 +---
 .../diffusion/shared_invokeai_diffusion.py    |  2 +-
 .../stable_diffusion/schedulers/schedulers.py | 14 +++----
 .../training/textual_inversion_training.py    |  9 +----
 invokeai/backend/util/devices.py              |  7 ++--
 invokeai/backend/util/logging.py              |  1 -
 invokeai/backend/util/util.py                 |  6 +--
 scripts/configure_invokeai.py                 |  1 +
 scripts/images2prompt.py                      |  1 +
 scripts/invokeai-cli.py                       |  2 +-
 scripts/invokeai-web.py                       |  2 +-
 scripts/make_models_markdown_table.py         |  3 +-
 scripts/probe-model.py                        |  1 +
 scripts/scan_models_directory.py              |  4 +-
 scripts/sd-metadata.py                        |  3 +-
 35 files changed, 168 insertions(+), 180 deletions(-)

diff --git a/installer/lib/main.py b/installer/lib/main.py
index 5c9e6f8229..b3582f2fdc 100644
--- a/installer/lib/main.py
+++ b/installer/lib/main.py
@@ -5,6 +5,7 @@ InvokeAI Installer
 import argparse
 import os
 from pathlib import Path
+
 from installer import Installer
 
 if __name__ == "__main__":
diff --git a/invokeai/backend/__init__.py b/invokeai/backend/__init__.py
index 2e77d12eca..ae9a12edbe 100644
--- a/invokeai/backend/__init__.py
+++ b/invokeai/backend/__init__.py
@@ -1,5 +1,5 @@
 """
 Initialization file for invokeai.backend
 """
-from .model_management import ModelManager, ModelCache, BaseModelType, ModelType, SubModelType, ModelInfo  # noqa: F401
+from .model_management import BaseModelType, ModelCache, ModelInfo, ModelManager, ModelType, SubModelType  # noqa: F401
 from .model_management.models import SilenceWarnings  # noqa: F401
diff --git a/invokeai/backend/image_util/invisible_watermark.py b/invokeai/backend/image_util/invisible_watermark.py
index 4605daea43..3e8604f9c3 100644
--- a/invokeai/backend/image_util/invisible_watermark.py
+++ b/invokeai/backend/image_util/invisible_watermark.py
@@ -3,12 +3,13 @@ This module defines a singleton object, "invisible_watermark" that
 wraps the invisible watermark model. It respects the global "invisible_watermark"
 configuration variable, that allows the watermarking to be supressed.
 """
-import numpy as np
 import cv2
-from PIL import Image
+import numpy as np
 from imwatermark import WatermarkEncoder
-from invokeai.app.services.config import InvokeAIAppConfig
+from PIL import Image
+
 import invokeai.backend.util.logging as logger
+from invokeai.app.services.config import InvokeAIAppConfig
 
 config = InvokeAIAppConfig.get_config()
 
diff --git a/invokeai/backend/image_util/patchmatch.py b/invokeai/backend/image_util/patchmatch.py
index 98055f60c8..5514e3d33a 100644
--- a/invokeai/backend/image_util/patchmatch.py
+++ b/invokeai/backend/image_util/patchmatch.py
@@ -5,6 +5,7 @@ wraps the actual patchmatch object. It respects the global
 be suppressed or deferred
 """
 import numpy as np
+
 import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 
diff --git a/invokeai/backend/image_util/safety_checker.py b/invokeai/backend/image_util/safety_checker.py
index 483e563b82..fd1f05f10e 100644
--- a/invokeai/backend/image_util/safety_checker.py
+++ b/invokeai/backend/image_util/safety_checker.py
@@ -5,10 +5,11 @@ configuration variable, that allows the checker to be supressed.
 """
 import numpy as np
 from PIL import Image
-from invokeai.backend import SilenceWarnings
-from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.backend.util.devices import choose_torch_device
+
 import invokeai.backend.util.logging as logger
+from invokeai.app.services.config import InvokeAIAppConfig
+from invokeai.backend import SilenceWarnings
+from invokeai.backend.util.devices import choose_torch_device
 
 config = InvokeAIAppConfig.get_config()
 
diff --git a/invokeai/backend/install/check_root.py b/invokeai/backend/install/check_root.py
index 2104c3a4c7..6ee2aa34b7 100644
--- a/invokeai/backend/install/check_root.py
+++ b/invokeai/backend/install/check_root.py
@@ -2,9 +2,8 @@
 Check that the invokeai_root is correctly configured and exit if not.
 """
 import sys
-from invokeai.app.services.config import (
-    InvokeAIAppConfig,
-)
+
+from invokeai.app.services.config import InvokeAIAppConfig
 
 
 def check_invokeai_root(config: InvokeAIAppConfig):
diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index c5dce13050..e22f9dfb9e 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -6,16 +6,13 @@
 #
 # Coauthor: Kevin Turner http://github.com/keturn
 #
-import sys
 import argparse
 import io
 import os
-import psutil
 import shutil
+import sys
 import textwrap
-import torch
 import traceback
-import yaml
 import warnings
 from argparse import Namespace
 from enum import Enum
@@ -25,26 +22,25 @@ from typing import get_type_hints, get_args, Any
 from urllib import request
 
 import npyscreen
-import transformers
 import omegaconf
+import psutil
+import torch
+import transformers
+import yaml
 from diffusers import AutoencoderKL
 from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
 from huggingface_hub import HfFolder
 from huggingface_hub import login as hf_hub_login
 from omegaconf import OmegaConf
+from pydantic.error_wrappers import ValidationError
 from tqdm import tqdm
-from transformers import (
-    CLIPTextModel,
-    CLIPTextConfig,
-    CLIPTokenizer,
-    AutoFeatureExtractor,
-    BertTokenizerFast,
-)
-import invokeai.configs as configs
+from transformers import AutoFeatureExtractor, BertTokenizerFast, CLIPTextConfig, CLIPTextModel, CLIPTokenizer
 
-from invokeai.app.services.config import (
-    InvokeAIAppConfig,
-)
+import invokeai.configs as configs
+from invokeai.app.services.config import InvokeAIAppConfig
+from invokeai.backend.install.legacy_arg_parsing import legacy_parser
+from invokeai.backend.install.model_install_backend import InstallSelections, ModelInstall, hf_download_from_pretrained
+from invokeai.backend.model_management.model_probe import BaseModelType, ModelType
 from invokeai.backend.util.logging import InvokeAILogger
 from invokeai.frontend.install.model_install import addModelsForm, process_and_execute
 
@@ -58,16 +54,12 @@ from invokeai.frontend.install.widgets import (
     CyclingForm,
     MIN_COLS,
     MIN_LINES,
+    CenteredButtonPress,
+    CyclingForm,
+    FileBox,
     WindowTooSmallException,
+    set_min_terminal_size,
 )
-from invokeai.backend.install.legacy_arg_parsing import legacy_parser
-from invokeai.backend.install.model_install_backend import (
-    hf_download_from_pretrained,
-    InstallSelections,
-    ModelInstall,
-)
-from invokeai.backend.model_management.model_probe import ModelType, BaseModelType
-from pydantic.error_wrappers import ValidationError
 
 warnings.filterwarnings("ignore")
 transformers.logging.set_verbosity_error()
diff --git a/invokeai/backend/install/migrate_to_3.py b/invokeai/backend/install/migrate_to_3.py
index da533ab187..ea5bee8058 100644
--- a/invokeai/backend/install/migrate_to_3.py
+++ b/invokeai/backend/install/migrate_to_3.py
@@ -3,33 +3,26 @@ Migrate the models directory and models.yaml file from an existing
 InvokeAI 2.3 installation to 3.0.0.
 """
 
-import os
 import argparse
+import os
 import shutil
-import yaml
-
-import transformers
-import diffusers
 import warnings
-
 from dataclasses import dataclass
 from pathlib import Path
-from omegaconf import OmegaConf, DictConfig
 from typing import Union
 
-from diffusers import StableDiffusionPipeline, AutoencoderKL
+import diffusers
+import transformers
+import yaml
+from diffusers import AutoencoderKL, StableDiffusionPipeline
 from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
-from transformers import (
-    CLIPTextModel,
-    CLIPTokenizer,
-    AutoFeatureExtractor,
-    BertTokenizerFast,
-)
+from omegaconf import DictConfig, OmegaConf
+from transformers import AutoFeatureExtractor, BertTokenizerFast, CLIPTextModel, CLIPTokenizer
 
 import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.model_management import ModelManager
-from invokeai.backend.model_management.model_probe import ModelProbe, ModelType, BaseModelType, ModelProbeInfo
+from invokeai.backend.model_management.model_probe import BaseModelType, ModelProbe, ModelProbeInfo, ModelType
 
 warnings.filterwarnings("ignore")
 transformers.logging.set_verbosity_error()
diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index e41783ab09..6c9eb548ab 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -7,23 +7,23 @@ import warnings
 from dataclasses import dataclass, field
 from pathlib import Path
 from tempfile import TemporaryDirectory
-from typing import Optional, List, Dict, Callable, Union, Set
+from typing import Callable, Dict, List, Optional, Set, Union
 
 import requests
+import torch
 from diffusers import DiffusionPipeline
 from diffusers import logging as dlogging
-import torch
-from huggingface_hub import hf_hub_url, HfFolder, HfApi
+from huggingface_hub import HfApi, HfFolder, hf_hub_url
 from omegaconf import OmegaConf
 from tqdm import tqdm
 
 import invokeai.configs as configs
-
 from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.backend.model_management import ModelManager, ModelType, BaseModelType, ModelVariantType, AddModelResult
-from invokeai.backend.model_management.model_probe import ModelProbe, SchedulerPredictionType, ModelProbeInfo
+from invokeai.backend.model_management import AddModelResult, BaseModelType, ModelManager, ModelType, ModelVariantType
+from invokeai.backend.model_management.model_probe import ModelProbe, ModelProbeInfo, SchedulerPredictionType
 from invokeai.backend.util import download_with_resume
-from invokeai.backend.util.devices import torch_dtype, choose_torch_device
+from invokeai.backend.util.devices import choose_torch_device, torch_dtype
+
 from ..util.logging import InvokeAILogger
 
 warnings.filterwarnings("ignore")
diff --git a/invokeai/backend/model_management/models/__init__.py b/invokeai/backend/model_management/models/__init__.py
index 2de206257b..695e9b0ec0 100644
--- a/invokeai/backend/model_management/models/__init__.py
+++ b/invokeai/backend/model_management/models/__init__.py
@@ -1,29 +1,30 @@
 import inspect
 from enum import Enum
-from pydantic import BaseModel
 from typing import Literal, get_origin
+
+from pydantic import BaseModel
+
 from .base import (  # noqa: F401
     BaseModelType,
-    ModelType,
-    SubModelType,
+    DuplicateModelException,
+    InvalidModelException,
     ModelBase,
     ModelConfigBase,
+    ModelError,
+    ModelNotFoundException,
+    ModelType,
     ModelVariantType,
     SchedulerPredictionType,
-    ModelError,
     SilenceWarnings,
-    ModelNotFoundException,
-    InvalidModelException,
-    DuplicateModelException,
+    SubModelType,
 )
-from .stable_diffusion import StableDiffusion1Model, StableDiffusion2Model
-from .sdxl import StableDiffusionXLModel
-from .vae import VaeModel
-from .lora import LoRAModel
 from .controlnet import ControlNetModel  # TODO:
-from .textual_inversion import TextualInversionModel
-
+from .lora import LoRAModel
+from .sdxl import StableDiffusionXLModel
+from .stable_diffusion import StableDiffusion1Model, StableDiffusion2Model
 from .stable_diffusion_onnx import ONNXStableDiffusion1Model, ONNXStableDiffusion2Model
+from .textual_inversion import TextualInversionModel
+from .vae import VaeModel
 
 MODEL_CLASSES = {
     BaseModelType.StableDiffusion1: {
diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py
index ed1c2c6098..d704c56103 100644
--- a/invokeai/backend/model_management/models/base.py
+++ b/invokeai/backend/model_management/models/base.py
@@ -1,29 +1,25 @@
+import inspect
 import json
 import os
 import sys
 import typing
-import inspect
 import warnings
 from abc import ABCMeta, abstractmethod
 from contextlib import suppress
 from enum import Enum
 from pathlib import Path
-from picklescan.scanner import scan_file_path
+from typing import Any, Callable, Dict, Generic, List, Literal, Optional, Type, TypeVar, Union
 
-import torch
 import numpy as np
 import onnx
 import safetensors.torch
-from diffusers import DiffusionPipeline, ConfigMixin
-from onnx import numpy_helper
-from onnxruntime import (
-    InferenceSession,
-    SessionOptions,
-    get_available_providers,
-)
-from pydantic import BaseModel, Field
-from typing import List, Dict, Optional, Type, Literal, TypeVar, Generic, Callable, Any, Union
+import torch
+from diffusers import ConfigMixin, DiffusionPipeline
 from diffusers import logging as diffusers_logging
+from onnx import numpy_helper
+from onnxruntime import InferenceSession, SessionOptions, get_available_providers
+from picklescan.scanner import scan_file_path
+from pydantic import BaseModel, Field
 from transformers import logging as transformers_logging
 
 
diff --git a/invokeai/backend/model_management/models/controlnet.py b/invokeai/backend/model_management/models/controlnet.py
index ebc01399b5..359df91a82 100644
--- a/invokeai/backend/model_management/models/controlnet.py
+++ b/invokeai/backend/model_management/models/controlnet.py
@@ -1,23 +1,26 @@
 import os
-import torch
 from enum import Enum
 from pathlib import Path
-from typing import Optional, Literal
+from typing import Literal, Optional
+
+import torch
+
+import invokeai.backend.util.logging as logger
+from invokeai.app.services.config import InvokeAIAppConfig
+
 from .base import (
+    BaseModelType,
+    EmptyConfigLoader,
+    InvalidModelException,
     ModelBase,
     ModelConfigBase,
-    BaseModelType,
+    ModelNotFoundException,
     ModelType,
     SubModelType,
-    EmptyConfigLoader,
-    calc_model_size_by_fs,
     calc_model_size_by_data,
+    calc_model_size_by_fs,
     classproperty,
-    InvalidModelException,
-    ModelNotFoundException,
 )
-from invokeai.app.services.config import InvokeAIAppConfig
-import invokeai.backend.util.logging as logger
 
 
 class ControlNetModelFormat(str, Enum):
diff --git a/invokeai/backend/model_management/models/sdxl.py b/invokeai/backend/model_management/models/sdxl.py
index 5bbe05be98..41586e35b9 100644
--- a/invokeai/backend/model_management/models/sdxl.py
+++ b/invokeai/backend/model_management/models/sdxl.py
@@ -1,19 +1,21 @@
-import os
 import json
+import os
 from enum import Enum
-from pydantic import Field
 from typing import Literal, Optional
+
+from omegaconf import OmegaConf
+from pydantic import Field
+
 from .base import (
-    ModelConfigBase,
     BaseModelType,
+    DiffusersModel,
+    InvalidModelException,
+    ModelConfigBase,
     ModelType,
     ModelVariantType,
-    DiffusersModel,
-    read_checkpoint_meta,
     classproperty,
-    InvalidModelException,
+    read_checkpoint_meta,
 )
-from omegaconf import OmegaConf
 
 
 class StableDiffusionXLModelFormat(str, Enum):
diff --git a/invokeai/backend/model_management/models/stable_diffusion.py b/invokeai/backend/model_management/models/stable_diffusion.py
index cc34f14b9c..ffce42d9e9 100644
--- a/invokeai/backend/model_management/models/stable_diffusion.py
+++ b/invokeai/backend/model_management/models/stable_diffusion.py
@@ -1,26 +1,29 @@
-import os
 import json
+import os
 from enum import Enum
-from pydantic import Field
 from pathlib import Path
 from typing import Literal, Optional, Union
+
 from diffusers import StableDiffusionInpaintPipeline, StableDiffusionPipeline
-from .base import (
-    ModelConfigBase,
-    BaseModelType,
-    ModelType,
-    ModelVariantType,
-    DiffusersModel,
-    SilenceWarnings,
-    read_checkpoint_meta,
-    classproperty,
-    InvalidModelException,
-    ModelNotFoundException,
-)
-from .sdxl import StableDiffusionXLModel
+from omegaconf import OmegaConf
+from pydantic import Field
+
 import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
-from omegaconf import OmegaConf
+
+from .base import (
+    BaseModelType,
+    DiffusersModel,
+    InvalidModelException,
+    ModelConfigBase,
+    ModelNotFoundException,
+    ModelType,
+    ModelVariantType,
+    SilenceWarnings,
+    classproperty,
+    read_checkpoint_meta,
+)
+from .sdxl import StableDiffusionXLModel
 
 
 class StableDiffusion1ModelFormat(str, Enum):
@@ -272,8 +275,8 @@ def _convert_ckpt_and_cache(
         return output_path
 
     # to avoid circular import errors
-    from ..convert_ckpt_to_diffusers import convert_ckpt_to_diffusers
     from ...util.devices import choose_torch_device, torch_dtype
+    from ..convert_ckpt_to_diffusers import convert_ckpt_to_diffusers
 
     model_base_to_model_type = {
         BaseModelType.StableDiffusion1: "FrozenCLIPEmbedder",
diff --git a/invokeai/backend/model_management/models/stable_diffusion_onnx.py b/invokeai/backend/model_management/models/stable_diffusion_onnx.py
index 2780ba4728..2d0dd22c43 100644
--- a/invokeai/backend/model_management/models/stable_diffusion_onnx.py
+++ b/invokeai/backend/model_management/models/stable_diffusion_onnx.py
@@ -2,15 +2,16 @@ from enum import Enum
 from typing import Literal
 
 from diffusers import OnnxRuntimeModel
+
 from .base import (
-    ModelConfigBase,
     BaseModelType,
+    DiffusersModel,
+    IAIOnnxRuntimeModel,
+    ModelConfigBase,
     ModelType,
     ModelVariantType,
-    DiffusersModel,
     SchedulerPredictionType,
     classproperty,
-    IAIOnnxRuntimeModel,
 )
 
 
diff --git a/invokeai/backend/model_management/models/textual_inversion.py b/invokeai/backend/model_management/models/textual_inversion.py
index a949a15be1..b59e635045 100644
--- a/invokeai/backend/model_management/models/textual_inversion.py
+++ b/invokeai/backend/model_management/models/textual_inversion.py
@@ -1,19 +1,20 @@
 import os
-import torch
 from typing import Optional
-from .base import (
-    ModelBase,
-    ModelConfigBase,
-    BaseModelType,
-    ModelType,
-    SubModelType,
-    classproperty,
-    ModelNotFoundException,
-    InvalidModelException,
-)
+
+import torch
 
 # TODO: naming
 from ..lora import TextualInversionModel as TextualInversionModelRaw
+from .base import (
+    BaseModelType,
+    InvalidModelException,
+    ModelBase,
+    ModelConfigBase,
+    ModelNotFoundException,
+    ModelType,
+    SubModelType,
+    classproperty,
+)
 
 
 class TextualInversionModel(ModelBase):
diff --git a/invokeai/backend/model_management/models/vae.py b/invokeai/backend/model_management/models/vae.py
index f5dc11b27b..637160c69b 100644
--- a/invokeai/backend/model_management/models/vae.py
+++ b/invokeai/backend/model_management/models/vae.py
@@ -8,19 +8,20 @@ import torch
 from omegaconf import OmegaConf
 
 from invokeai.app.services.config import InvokeAIAppConfig
+
 from .base import (
+    BaseModelType,
+    EmptyConfigLoader,
+    InvalidModelException,
     ModelBase,
     ModelConfigBase,
-    BaseModelType,
-    ModelType,
-    SubModelType,
-    ModelVariantType,
-    EmptyConfigLoader,
-    calc_model_size_by_fs,
-    calc_model_size_by_data,
-    classproperty,
-    InvalidModelException,
     ModelNotFoundException,
+    ModelType,
+    ModelVariantType,
+    SubModelType,
+    calc_model_size_by_data,
+    calc_model_size_by_fs,
+    classproperty,
 )
 
 
diff --git a/invokeai/backend/stable_diffusion/__init__.py b/invokeai/backend/stable_diffusion/__init__.py
index a958750802..9e2b49bf09 100644
--- a/invokeai/backend/stable_diffusion/__init__.py
+++ b/invokeai/backend/stable_diffusion/__init__.py
@@ -9,7 +9,7 @@ from .diffusers_pipeline import (  # noqa: F401
 from .diffusion import InvokeAIDiffuserComponent  # noqa: F401
 from .diffusion.cross_attention_map_saving import AttentionMapSaver  # noqa: F401
 from .diffusion.shared_invokeai_diffusion import (  # noqa: F401
-    PostprocessingSettings,
     BasicConditioningInfo,
+    PostprocessingSettings,
     SDXLConditioningInfo,
 )
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index d88313f455..f96e5e9420 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -5,20 +5,16 @@ import inspect
 from dataclasses import dataclass, field
 from typing import Any, Callable, List, Optional, Union
 
-import PIL.Image
 import einops
+import PIL.Image
 import psutil
 import torch
 import torchvision.transforms as T
 from diffusers.models import AutoencoderKL, UNet2DConditionModel
 from diffusers.models.controlnet import ControlNetModel
 from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
-from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import (
-    StableDiffusionPipeline,
-)
-from diffusers.pipelines.stable_diffusion.safety_checker import (
-    StableDiffusionSafetyChecker,
-)
+from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import StableDiffusionPipeline
+from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
 from diffusers.schedulers import KarrasDiffusionSchedulers
 from diffusers.schedulers.scheduling_utils import SchedulerMixin, SchedulerOutput
 from diffusers.utils.import_utils import is_xformers_available
diff --git a/invokeai/backend/stable_diffusion/diffusion/__init__.py b/invokeai/backend/stable_diffusion/diffusion/__init__.py
index 2bcc595889..137e32cff5 100644
--- a/invokeai/backend/stable_diffusion/diffusion/__init__.py
+++ b/invokeai/backend/stable_diffusion/diffusion/__init__.py
@@ -4,8 +4,8 @@ Initialization file for invokeai.models.diffusion
 from .cross_attention_control import InvokeAICrossAttentionMixin  # noqa: F401
 from .cross_attention_map_saving import AttentionMapSaver  # noqa: F401
 from .shared_invokeai_diffusion import (  # noqa: F401
+    BasicConditioningInfo,
     InvokeAIDiffuserComponent,
     PostprocessingSettings,
-    BasicConditioningInfo,
     SDXLConditioningInfo,
 )
diff --git a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
index 35d4800859..03b438525f 100644
--- a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
+++ b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
@@ -11,16 +11,12 @@ import diffusers
 import psutil
 import torch
 from compel.cross_attention_control import Arguments
+from diffusers.models.attention_processor import Attention, AttentionProcessor, AttnProcessor, SlicedAttnProcessor
 from diffusers.models.unet_2d_condition import UNet2DConditionModel
-from diffusers.models.attention_processor import AttentionProcessor
-from diffusers.models.attention_processor import (
-    Attention,
-    AttnProcessor,
-    SlicedAttnProcessor,
-)
 from torch import nn
 
 import invokeai.backend.util.logging as logger
+
 from ...util import torch_dtype
 
 
diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index f05adafca2..6fe53fd002 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -1,8 +1,8 @@
 from __future__ import annotations
 
+import math
 from contextlib import contextmanager
 from dataclasses import dataclass
-import math
 from typing import Any, Callable, Optional, Union
 
 import torch
diff --git a/invokeai/backend/stable_diffusion/schedulers/schedulers.py b/invokeai/backend/stable_diffusion/schedulers/schedulers.py
index 2f62f8c477..16213acb64 100644
--- a/invokeai/backend/stable_diffusion/schedulers/schedulers.py
+++ b/invokeai/backend/stable_diffusion/schedulers/schedulers.py
@@ -1,18 +1,18 @@
 from diffusers import (
     DDIMScheduler,
+    DDPMScheduler,
+    DEISMultistepScheduler,
     DPMSolverMultistepScheduler,
-    KDPM2DiscreteScheduler,
-    KDPM2AncestralDiscreteScheduler,
-    EulerDiscreteScheduler,
+    DPMSolverSDEScheduler,
+    DPMSolverSinglestepScheduler,
     EulerAncestralDiscreteScheduler,
+    EulerDiscreteScheduler,
     HeunDiscreteScheduler,
+    KDPM2AncestralDiscreteScheduler,
+    KDPM2DiscreteScheduler,
     LMSDiscreteScheduler,
     PNDMScheduler,
     UniPCMultistepScheduler,
-    DPMSolverSinglestepScheduler,
-    DEISMultistepScheduler,
-    DDPMScheduler,
-    DPMSolverSDEScheduler,
 )
 
 SCHEDULER_MAP = dict(
diff --git a/invokeai/backend/training/textual_inversion_training.py b/invokeai/backend/training/textual_inversion_training.py
index d92aa80b38..153bd0fcc4 100644
--- a/invokeai/backend/training/textual_inversion_training.py
+++ b/invokeai/backend/training/textual_inversion_training.py
@@ -24,13 +24,8 @@ import torch.utils.checkpoint
 import transformers
 from accelerate import Accelerator
 from accelerate.logging import get_logger
-from accelerate.utils import set_seed, ProjectConfiguration
-from diffusers import (
-    AutoencoderKL,
-    DDPMScheduler,
-    StableDiffusionPipeline,
-    UNet2DConditionModel,
-)
+from accelerate.utils import ProjectConfiguration, set_seed
+from diffusers import AutoencoderKL, DDPMScheduler, StableDiffusionPipeline, UNet2DConditionModel
 from diffusers.optimization import get_scheduler
 from diffusers.utils import check_min_version
 from diffusers.utils.import_utils import is_xformers_available
diff --git a/invokeai/backend/util/devices.py b/invokeai/backend/util/devices.py
index bdaf3244f3..84ca7ee02b 100644
--- a/invokeai/backend/util/devices.py
+++ b/invokeai/backend/util/devices.py
@@ -1,12 +1,13 @@
 from __future__ import annotations
 
-from contextlib import nullcontext
-from packaging import version
 import platform
+from contextlib import nullcontext
+from typing import Union
 
 import torch
+from packaging import version
 from torch import autocast
-from typing import Union
+
 from invokeai.app.services.config import InvokeAIAppConfig
 
 CPU_DEVICE = torch.device("cpu")
diff --git a/invokeai/backend/util/logging.py b/invokeai/backend/util/logging.py
index 82706d8181..accbc407f7 100644
--- a/invokeai/backend/util/logging.py
+++ b/invokeai/backend/util/logging.py
@@ -178,7 +178,6 @@ InvokeAI:
 import logging.handlers
 import socket
 import urllib.parse
-
 from abc import abstractmethod
 from pathlib import Path
 
diff --git a/invokeai/backend/util/util.py b/invokeai/backend/util/util.py
index 7ef9c72fb0..0796f1a8cd 100644
--- a/invokeai/backend/util/util.py
+++ b/invokeai/backend/util/util.py
@@ -1,11 +1,10 @@
+import base64
 import importlib
+import io
 import math
 import multiprocessing as mp
 import os
 import re
-import io
-import base64
-
 from collections import abc
 from inspect import isfunction
 from pathlib import Path
@@ -19,6 +18,7 @@ from PIL import Image, ImageDraw, ImageFont
 from tqdm import tqdm
 
 import invokeai.backend.util.logging as logger
+
 from .devices import torch_dtype
 
 
diff --git a/scripts/configure_invokeai.py b/scripts/configure_invokeai.py
index b40194c6ce..98e5044511 100755
--- a/scripts/configure_invokeai.py
+++ b/scripts/configure_invokeai.py
@@ -2,6 +2,7 @@
 # Copyright (c) 2022 Lincoln D. Stein (https://github.com/lstein)
 
 import warnings
+
 from invokeai.frontend.install.invokeai_configure import invokeai_configure as configure
 
 if __name__ == "__main__":
diff --git a/scripts/images2prompt.py b/scripts/images2prompt.py
index fdfe52774b..b12ff562fa 100755
--- a/scripts/images2prompt.py
+++ b/scripts/images2prompt.py
@@ -2,6 +2,7 @@
 """This script reads the "Invoke" Stable Diffusion prompt embedded in files generated by invoke.py"""
 
 import sys
+
 from PIL import Image
 
 if len(sys.argv) < 2:
diff --git a/scripts/invokeai-cli.py b/scripts/invokeai-cli.py
index 58aca1b5f3..73c0f6e7c3 100755
--- a/scripts/invokeai-cli.py
+++ b/scripts/invokeai-cli.py
@@ -2,8 +2,8 @@
 
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
-import os
 import logging
+import os
 
 logging.getLogger("xformers").addFilter(lambda record: "A matching Triton is not available" not in record.getMessage())
 
diff --git a/scripts/invokeai-web.py b/scripts/invokeai-web.py
index ebdf7cfa81..09475cc9e5 100755
--- a/scripts/invokeai-web.py
+++ b/scripts/invokeai-web.py
@@ -2,8 +2,8 @@
 
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
-import os
 import logging
+import os
 
 logging.getLogger("xformers").addFilter(lambda record: "A matching Triton is not available" not in record.getMessage())
 
diff --git a/scripts/make_models_markdown_table.py b/scripts/make_models_markdown_table.py
index 8e7c528a46..0af5085ff5 100755
--- a/scripts/make_models_markdown_table.py
+++ b/scripts/make_models_markdown_table.py
@@ -5,9 +5,10 @@ This script is used at release time to generate a markdown table describing the
 starter models. This text is then manually copied into 050_INSTALL_MODELS.md.
 """
 
-from omegaconf import OmegaConf
 from pathlib import Path
 
+from omegaconf import OmegaConf
+
 
 def main():
     initial_models_file = Path(__file__).parent / "../invokeai/configs/INITIAL_MODELS.yaml"
diff --git a/scripts/probe-model.py b/scripts/probe-model.py
index 9b4ee6e815..05741de806 100755
--- a/scripts/probe-model.py
+++ b/scripts/probe-model.py
@@ -2,6 +2,7 @@
 
 import argparse
 from pathlib import Path
+
 from invokeai.backend.model_management.model_probe import ModelProbe
 
 parser = argparse.ArgumentParser(description="Probe model type")
diff --git a/scripts/scan_models_directory.py b/scripts/scan_models_directory.py
index de7278f5b7..0038023c06 100755
--- a/scripts/scan_models_directory.py
+++ b/scripts/scan_models_directory.py
@@ -4,11 +4,11 @@
 Scan the models directory and print out a new models.yaml
 """
 
+import argparse
 import os
 import sys
-import argparse
-
 from pathlib import Path
+
 from omegaconf import OmegaConf
 
 
diff --git a/scripts/sd-metadata.py b/scripts/sd-metadata.py
index 1a27e73d95..b3ce4fd66e 100755
--- a/scripts/sd-metadata.py
+++ b/scripts/sd-metadata.py
@@ -1,7 +1,8 @@
 #!/usr/bin/env python
 
-import sys
 import json
+import sys
+
 from invokeai.backend.image_util import retrieve_metadata
 
 if len(sys.argv) < 2:

From e88d7c242fcfff52fb5fbe71280d5eec51106d24 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Fri, 18 Aug 2023 11:18:46 -0400
Subject: [PATCH 090/265] isort wip 3

---
 invokeai/backend/model_management/__init__.py | 18 +++++++++-------
 .../convert_ckpt_to_diffusers.py              | 10 +++------
 invokeai/backend/model_management/lora.py     |  6 +++---
 .../backend/model_management/model_cache.py   |  7 ++++---
 .../backend/model_management/model_manager.py | 21 ++++++++++---------
 .../backend/model_management/model_merge.py   |  5 +++--
 .../backend/model_management/model_probe.py   | 15 +++++++------
 .../backend/model_management/model_search.py  |  2 +-
 8 files changed, 43 insertions(+), 41 deletions(-)

diff --git a/invokeai/backend/model_management/__init__.py b/invokeai/backend/model_management/__init__.py
index 6376585fe5..569428a9e7 100644
--- a/invokeai/backend/model_management/__init__.py
+++ b/invokeai/backend/model_management/__init__.py
@@ -1,15 +1,19 @@
 """
 Initialization file for invokeai.backend.model_management
 """
-from .model_manager import ModelManager, ModelInfo, AddModelResult, SchedulerPredictionType  # noqa: F401
-from .model_cache import ModelCache  # noqa: F401
+# This import must be first
+from .model_manager import ModelManager, ModelInfo, AddModelResult, SchedulerPredictionType  # noqa: F401 isort: split
+
 from .lora import ModelPatcher, ONNXModelPatcher  # noqa: F401
+from .model_cache import ModelCache  # noqa: F401
 from .models import (  # noqa: F401
     BaseModelType,
-    ModelType,
-    SubModelType,
-    ModelVariantType,
-    ModelNotFoundException,
     DuplicateModelException,
+    ModelNotFoundException,
+    ModelType,
+    ModelVariantType,
+    SubModelType,
 )
-from .model_merge import ModelMerger, MergeInterpolationMethod  # noqa: F401
+
+# This import must be last
+from .model_merge import ModelMerger, MergeInterpolationMethod  # noqa: F401 isort: split
diff --git a/invokeai/backend/model_management/convert_ckpt_to_diffusers.py b/invokeai/backend/model_management/convert_ckpt_to_diffusers.py
index 8118e28abb..69d32a49c7 100644
--- a/invokeai/backend/model_management/convert_ckpt_to_diffusers.py
+++ b/invokeai/backend/model_management/convert_ckpt_to_diffusers.py
@@ -25,12 +25,7 @@ from typing import Optional, Union
 
 import requests
 import torch
-from diffusers.models import (
-    AutoencoderKL,
-    ControlNetModel,
-    PriorTransformer,
-    UNet2DConditionModel,
-)
+from diffusers.models import AutoencoderKL, ControlNetModel, PriorTransformer, UNet2DConditionModel
 from diffusers.pipelines.latent_diffusion.pipeline_latent_diffusion import LDMBertConfig, LDMBertModel
 from diffusers.pipelines.paint_by_example import PaintByExampleImageEncoder
 from diffusers.pipelines.pipeline_utils import DiffusionPipeline
@@ -64,6 +59,7 @@ from transformers import (
 
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.util.logging import InvokeAILogger
+
 from .models import BaseModelType, ModelVariantType
 
 try:
@@ -1203,8 +1199,8 @@ def download_from_original_stable_diffusion_ckpt(
         StableDiffusionControlNetPipeline,
         StableDiffusionInpaintPipeline,
         StableDiffusionPipeline,
-        StableDiffusionXLPipeline,
         StableDiffusionXLImg2ImgPipeline,
+        StableDiffusionXLPipeline,
         StableUnCLIPImg2ImgPipeline,
         StableUnCLIPPipeline,
     )
diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py
index d0d8d4226c..bb44455c88 100644
--- a/invokeai/backend/model_management/lora.py
+++ b/invokeai/backend/model_management/lora.py
@@ -2,8 +2,8 @@ from __future__ import annotations
 
 import copy
 from contextlib import contextmanager
-from typing import Optional, Dict, Tuple, Any, Union, List
 from pathlib import Path
+from typing import Any, Dict, List, Optional, Tuple, Union
 
 import numpy as np
 import torch
@@ -14,7 +14,6 @@ from transformers import CLIPTextModel, CLIPTokenizer
 
 from .models.lora import LoRAModel
 
-
 """
 loras = [
     (lora_model1, 0.7),
@@ -307,9 +306,10 @@ class TextualInversionManager(BaseTextualInversionManager):
 
 
 class ONNXModelPatcher:
-    from .models.base import IAIOnnxRuntimeModel
     from diffusers import OnnxRuntimeModel
 
+    from .models.base import IAIOnnxRuntimeModel
+
     @classmethod
     @contextmanager
     def apply_lora_unet(
diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index 6f3e5bd6a5..6d0f36ad8c 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -17,18 +17,19 @@ context. Use like this:
 """
 
 import gc
+import hashlib
 import os
 import sys
-import hashlib
 from contextlib import suppress
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Dict, Union, types, Optional, Type, Any
+from typing import Any, Dict, Optional, Type, Union, types
 
 import torch
 
 import invokeai.backend.util.logging as logger
-from .models import BaseModelType, ModelType, SubModelType, ModelBase
+
+from .models import BaseModelType, ModelBase, ModelType, SubModelType
 
 # Maximum size of the cache, in gigs
 # Default is roughly enough to hold three fp16 diffusers models in RAM simultaneously
diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index d87bc03fb7..e39ed6bf61 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -234,8 +234,8 @@ import textwrap
 import types
 from dataclasses import dataclass
 from pathlib import Path
-from shutil import rmtree, move
-from typing import Optional, List, Literal, Tuple, Union, Dict, Set, Callable
+from shutil import move, rmtree
+from typing import Callable, Dict, List, Literal, Optional, Set, Tuple, Union
 
 import torch
 import yaml
@@ -246,20 +246,21 @@ from pydantic import BaseModel, Field
 import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.util import CUDA_DEVICE, Chdir
+
 from .model_cache import ModelCache, ModelLocker
 from .model_search import ModelSearch
 from .models import (
-    BaseModelType,
-    ModelType,
-    SubModelType,
-    ModelError,
-    SchedulerPredictionType,
     MODEL_CLASSES,
-    ModelConfigBase,
-    ModelNotFoundException,
-    InvalidModelException,
+    BaseModelType,
     DuplicateModelException,
+    InvalidModelException,
     ModelBase,
+    ModelConfigBase,
+    ModelError,
+    ModelNotFoundException,
+    ModelType,
+    SchedulerPredictionType,
+    SubModelType,
 )
 
 # We are only starting to number the config file with release 3.
diff --git a/invokeai/backend/model_management/model_merge.py b/invokeai/backend/model_management/model_merge.py
index a34d9b0e3e..59201d64d9 100644
--- a/invokeai/backend/model_management/model_merge.py
+++ b/invokeai/backend/model_management/model_merge.py
@@ -9,13 +9,14 @@ Copyright (c) 2023 Lincoln Stein and the InvokeAI Development Team
 import warnings
 from enum import Enum
 from pathlib import Path
+from typing import List, Optional, Union
+
 from diffusers import DiffusionPipeline
 from diffusers import logging as dlogging
-from typing import List, Union, Optional
 
 import invokeai.backend.util.logging as logger
 
-from ...backend.model_management import ModelManager, ModelType, BaseModelType, ModelVariantType, AddModelResult
+from ...backend.model_management import AddModelResult, BaseModelType, ModelManager, ModelType, ModelVariantType
 
 
 class MergeInterpolationMethod(str, Enum):
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 0d6f61e145..b8341b4499 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -1,24 +1,23 @@
 import json
-import torch
-import safetensors.torch
-
 from dataclasses import dataclass
-
-from diffusers import ModelMixin, ConfigMixin
 from pathlib import Path
-from typing import Callable, Literal, Union, Dict, Optional
+from typing import Callable, Dict, Literal, Optional, Union
+
+import safetensors.torch
+import torch
+from diffusers import ConfigMixin, ModelMixin
 from picklescan.scanner import scan_file_path
 
 from .models import (
     BaseModelType,
+    InvalidModelException,
     ModelType,
     ModelVariantType,
     SchedulerPredictionType,
     SilenceWarnings,
-    InvalidModelException,
 )
-from .util import lora_token_vector_length
 from .models.base import read_checkpoint_meta
+from .util import lora_token_vector_length
 
 
 @dataclass
diff --git a/invokeai/backend/model_management/model_search.py b/invokeai/backend/model_management/model_search.py
index 0a98091f4a..f4dd8b7739 100644
--- a/invokeai/backend/model_management/model_search.py
+++ b/invokeai/backend/model_management/model_search.py
@@ -5,8 +5,8 @@ Abstract base class for recursive directory search for models.
 
 import os
 from abc import ABC, abstractmethod
-from typing import List, Set, types
 from pathlib import Path
+from typing import List, Set, types
 
 import invokeai.backend.util.logging as logger
 

From 0450c28f1446c9ad8a25272e2d93a02c988cfc00 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Sat, 19 Aug 2023 21:17:44 -0400
Subject: [PATCH 091/265] Adding pre-commit to test dependencies

---
 pyproject.toml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pyproject.toml b/pyproject.toml
index 6cf9e3632a..63ac3b7c12 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -102,6 +102,7 @@ dependencies = [
   "flake8",
   "Flake8-pyproject",
   "isort",
+  "pre-commit",
   "pytest>6.0.0",
   "pytest-cov",
   "pytest-datadir",

From e467ca7f1b49895aa399acbf1fefd8742a310106 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <martin@modyfi.io>
Date: Mon, 11 Sep 2023 09:57:41 -0400
Subject: [PATCH 092/265] Apply black, isort, flake8

---
 invokeai/app/invocations/baseinvocation.py    |  8 +++----
 invokeai/app/invocations/cv.py                |  1 +
 invokeai/app/invocations/latent.py            |  2 +-
 invokeai/app/services/config/__init__.py      |  5 +----
 invokeai/app/services/config/base.py          |  6 +++--
 .../app/services/config/invokeai_config.py    |  4 ++--
 invokeai/app/services/graph.py                |  2 +-
 .../backend/install/invokeai_configure.py     | 10 +++------
 .../stable_diffusion/diffusers_pipeline.py    | 10 +++------
 invokeai/backend/util/__init__.py             | 10 ++-------
 invokeai/backend/util/attention.py            |  2 +-
 tests/nodes/test_node_graph.py                | 22 ++-----------------
 tests/nodes/test_nodes.py                     |  2 ++
 tests/test_config.py                          |  5 +++++
 14 files changed, 32 insertions(+), 57 deletions(-)

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 9084a7bf48..715ee5ca6e 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -3,10 +3,10 @@
 from __future__ import annotations
 
 import json
+import re
 from abc import ABC, abstractmethod
 from enum import Enum
 from inspect import signature
-import re
 from typing import (
     TYPE_CHECKING,
     AbstractSet,
@@ -23,10 +23,10 @@ from typing import (
     get_type_hints,
 )
 
-from pydantic import BaseModel, Field, validator
-from pydantic.fields import Undefined, ModelField
-from pydantic.typing import NoArgAnyCallable
 import semver
+from pydantic import BaseModel, Field, validator
+from pydantic.fields import ModelField, Undefined
+from pydantic.typing import NoArgAnyCallable
 
 from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig
 
diff --git a/invokeai/app/invocations/cv.py b/invokeai/app/invocations/cv.py
index 866b1c7894..cbe76091d6 100644
--- a/invokeai/app/invocations/cv.py
+++ b/invokeai/app/invocations/cv.py
@@ -7,6 +7,7 @@ from PIL import Image, ImageOps
 
 from invokeai.app.invocations.primitives import ImageField, ImageOutput
 from invokeai.app.models.image import ImageCategory, ResourceOrigin
+
 from .baseinvocation import BaseInvocation, InputField, InvocationContext, invocation
 
 
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 8fde088b36..b764b3b336 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -34,8 +34,8 @@ from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
 
 from ...backend.model_management.lora import ModelPatcher
-from ...backend.model_management.seamless import set_seamless
 from ...backend.model_management.models import BaseModelType
+from ...backend.model_management.seamless import set_seamless
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
     ConditioningData,
diff --git a/invokeai/app/services/config/__init__.py b/invokeai/app/services/config/__init__.py
index 94eafac10a..a404f33638 100644
--- a/invokeai/app/services/config/__init__.py
+++ b/invokeai/app/services/config/__init__.py
@@ -2,8 +2,5 @@
 Init file for InvokeAI configure package
 """
 
-from .invokeai_config import (  # noqa F401
-    InvokeAIAppConfig,
-    get_invokeai_config,
-)
 from .base import PagingArgumentParser  # noqa F401
+from .invokeai_config import InvokeAIAppConfig, get_invokeai_config  # noqa F401
diff --git a/invokeai/app/services/config/base.py b/invokeai/app/services/config/base.py
index 33fd87b03a..02c6f15140 100644
--- a/invokeai/app/services/config/base.py
+++ b/invokeai/app/services/config/base.py
@@ -9,15 +9,17 @@ the command line.
 """
 
 from __future__ import annotations
+
 import argparse
 import os
 import pydoc
 import sys
 from argparse import ArgumentParser
-from omegaconf import OmegaConf, DictConfig, ListConfig
 from pathlib import Path
+from typing import ClassVar, Dict, List, Literal, Union, get_args, get_origin, get_type_hints
+
+from omegaconf import DictConfig, ListConfig, OmegaConf
 from pydantic import BaseSettings
-from typing import ClassVar, Dict, List, Literal, Union, get_origin, get_type_hints, get_args
 
 
 class PagingArgumentParser(argparse.ArgumentParser):
diff --git a/invokeai/app/services/config/invokeai_config.py b/invokeai/app/services/config/invokeai_config.py
index 7b687a28a1..237aec5205 100644
--- a/invokeai/app/services/config/invokeai_config.py
+++ b/invokeai/app/services/config/invokeai_config.py
@@ -172,9 +172,9 @@ from __future__ import annotations
 
 import os
 from pathlib import Path
-from typing import ClassVar, Dict, List, Literal, Union, get_type_hints, Optional
+from typing import ClassVar, Dict, List, Literal, Optional, Union, get_type_hints
 
-from omegaconf import OmegaConf, DictConfig
+from omegaconf import DictConfig, OmegaConf
 from pydantic import Field, parse_obj_as
 
 from .base import InvokeAISettings
diff --git a/invokeai/app/services/graph.py b/invokeai/app/services/graph.py
index c47d437956..90f0ec51d1 100644
--- a/invokeai/app/services/graph.py
+++ b/invokeai/app/services/graph.py
@@ -14,12 +14,12 @@ from ..invocations import *  # noqa: F401 F403
 from ..invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
-    invocation,
     Input,
     InputField,
     InvocationContext,
     OutputField,
     UIType,
+    invocation,
     invocation_output,
 )
 
diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index e22f9dfb9e..0b3f50e3fc 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -18,7 +18,7 @@ from argparse import Namespace
 from enum import Enum
 from pathlib import Path
 from shutil import get_terminal_size
-from typing import get_type_hints, get_args, Any
+from typing import Any, get_args, get_type_hints
 from urllib import request
 
 import npyscreen
@@ -46,17 +46,13 @@ from invokeai.frontend.install.model_install import addModelsForm, process_and_e
 
 # TO DO - Move all the frontend code into invokeai.frontend.install
 from invokeai.frontend.install.widgets import (
-    SingleSelectColumnsSimple,
-    MultiSelectColumns,
-    CenteredButtonPress,
-    FileBox,
-    set_min_terminal_size,
-    CyclingForm,
     MIN_COLS,
     MIN_LINES,
     CenteredButtonPress,
     CyclingForm,
     FileBox,
+    MultiSelectColumns,
+    SingleSelectColumnsSimple,
     WindowTooSmallException,
     set_min_terminal_size,
 )
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index f96e5e9420..fc4442c2d6 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -23,13 +23,9 @@ from pydantic import Field
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
 from invokeai.app.services.config import InvokeAIAppConfig
-from .diffusion import (
-    AttentionMapSaver,
-    InvokeAIDiffuserComponent,
-    PostprocessingSettings,
-    BasicConditioningInfo,
-)
-from ..util import normalize_device, auto_detect_slice_size
+
+from ..util import auto_detect_slice_size, normalize_device
+from .diffusion import AttentionMapSaver, BasicConditioningInfo, InvokeAIDiffuserComponent, PostprocessingSettings
 
 
 @dataclass
diff --git a/invokeai/backend/util/__init__.py b/invokeai/backend/util/__init__.py
index a8d53f54a4..601aab00cb 100644
--- a/invokeai/backend/util/__init__.py
+++ b/invokeai/backend/util/__init__.py
@@ -1,6 +1,7 @@
 """
 Initialization file for invokeai.backend.util
 """
+from .attention import auto_detect_slice_size  # noqa: F401
 from .devices import (  # noqa: F401
     CPU_DEVICE,
     CUDA_DEVICE,
@@ -10,11 +11,4 @@ from .devices import (  # noqa: F401
     normalize_device,
     torch_dtype,
 )
-from .util import (  # noqa: F401
-    ask_user,
-    download_with_resume,
-    instantiate_from_config,
-    url_attachment_name,
-    Chdir,
-)
-from .attention import auto_detect_slice_size  # noqa: F401
+from .util import Chdir, ask_user, download_with_resume, instantiate_from_config, url_attachment_name  # noqa: F401
diff --git a/invokeai/backend/util/attention.py b/invokeai/backend/util/attention.py
index a821464394..910933044e 100644
--- a/invokeai/backend/util/attention.py
+++ b/invokeai/backend/util/attention.py
@@ -3,8 +3,8 @@
 Utility routine used for autodetection of optimal slice size
 for attention mechanism.
 """
-import torch
 import psutil
+import torch
 
 
 def auto_detect_slice_size(latents: torch.Tensor) -> str:
diff --git a/tests/nodes/test_node_graph.py b/tests/nodes/test_node_graph.py
index cce2fae9ed..4793e6ffa6 100644
--- a/tests/nodes/test_node_graph.py
+++ b/tests/nodes/test_node_graph.py
@@ -1,4 +1,5 @@
 import pytest
+
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
@@ -6,29 +7,10 @@ from invokeai.app.invocations.baseinvocation import (
     invocation,
     invocation_output,
 )
-from .test_nodes import (
-    ImageToImageTestInvocation,
-    TextToImageTestInvocation,
-    ListPassThroughInvocation,
-    PromptTestInvocation,
-)
-from invokeai.app.services.graph import (
-    Edge,
-    Graph,
-    GraphInvocation,
-    InvalidEdgeError,
-    NodeAlreadyInGraphError,
-    NodeNotFoundError,
-    are_connections_compatible,
-    EdgeConnection,
-    CollectInvocation,
-    IterateInvocation,
-)
-from invokeai.app.invocations.upscale import ESRGANInvocation
-
 from invokeai.app.invocations.image import ShowImageInvocation
 from invokeai.app.invocations.math import AddInvocation, SubtractInvocation
 from invokeai.app.invocations.primitives import FloatInvocation, IntegerInvocation
+from invokeai.app.invocations.upscale import ESRGANInvocation
 from invokeai.app.services.default_graphs import create_text_to_image
 from invokeai.app.services.graph import (
     CollectInvocation,
diff --git a/tests/nodes/test_nodes.py b/tests/nodes/test_nodes.py
index 3a28c53819..1a07b59828 100644
--- a/tests/nodes/test_nodes.py
+++ b/tests/nodes/test_nodes.py
@@ -1,5 +1,7 @@
 from typing import Any, Callable, Union
+
 from pydantic import Field
+
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
diff --git a/tests/test_config.py b/tests/test_config.py
index d915316a10..a950a9c06f 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -73,6 +73,8 @@ def test_use_init(patch_rootdir):
 
 
 def test_legacy():
+    from invokeai.app.services.config import InvokeAIAppConfig
+
     conf = InvokeAIAppConfig.get_config()
     assert conf
     conf.parse_args(conf=init3, argv=[])
@@ -84,6 +86,8 @@ def test_legacy():
 
 
 def test_argv_override():
+    from invokeai.app.services.config import InvokeAIAppConfig
+
     conf = InvokeAIAppConfig.get_config()
     conf.parse_args(conf=init1, argv=["--always_use_cpu", "--max_cache=10"])
     assert conf.always_use_cpu
@@ -165,6 +169,7 @@ def test_type_coercion(patch_rootdir):
 )
 def test_deny_nodes(patch_rootdir):
     from invokeai.app.services.config import InvokeAIAppConfig
+
     # Allow integer, string and float, but explicitly deny float
     allow_deny_nodes_conf = OmegaConf.create(
         """

From 63f94579c501d806e3a5aa4fcbb713ef705e9c07 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Tue, 12 Sep 2023 16:10:43 -0400
Subject: [PATCH 093/265] add informational popover base component and sample

---
 .../components/IAIInformationalPopover.tsx    | 98 +++++++++++++++++++
 .../components/paramPositiveConditioning.tsx  | 16 +++
 .../Core/ParamPositiveConditioning.tsx        | 36 ++++---
 .../web/src/theme/components/button.ts        |  7 ++
 .../web/src/theme/components/popover.ts       | 21 ++++
 5 files changed, 166 insertions(+), 12 deletions(-)
 create mode 100644 invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx

diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
new file mode 100644
index 0000000000..7e58e7e532
--- /dev/null
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
@@ -0,0 +1,98 @@
+import {
+  Button,
+  Popover,
+  PopoverTrigger,
+  PopoverContent,
+  PopoverArrow,
+  PopoverCloseButton,
+  PopoverHeader,
+  PopoverBody,
+  PopoverProps,
+  Flex,
+  Text,
+  Image,
+} from '@chakra-ui/react';
+import { ReactNode } from 'react';
+
+interface Props extends PopoverProps {
+  heading: string;
+  paragraph: string;
+  triggerComponent: ReactNode;
+  image?: string;
+  buttonLabel?: string;
+  buttonHref?: string;
+}
+
+function IAIInformationalPopover({
+  heading,
+  paragraph,
+  image,
+  buttonLabel,
+  buttonHref,
+  triggerComponent,
+}: Props) {
+  return (
+    <Popover
+      placement="top"
+      closeOnBlur={false}
+      trigger="hover"
+      variant="informational"
+    >
+      <PopoverTrigger>
+        <div>{triggerComponent}</div>
+      </PopoverTrigger>
+      <PopoverContent>
+        <PopoverArrow />
+        <PopoverCloseButton />
+
+        <PopoverBody>
+          <Flex
+            sx={{
+              gap: 3,
+              flexDirection: 'column',
+              width: '100%',
+            }}
+          >
+            {image && (
+              <Image
+                sx={{
+                  objectFit: 'contain',
+                  maxW: '100%',
+                  maxH: 'full',
+                  backgroundColor: 'white',
+                }}
+                src={image}
+                alt="Optional Image"
+              />
+            )}
+            <Flex
+              sx={{
+                gap: 3,
+                flexDirection: 'column',
+
+                p: 3,
+                pt: 0,
+              }}
+            >
+              <PopoverHeader>{heading}</PopoverHeader>
+              <Text sx={{ pl: 3, pr: 3 }}>{paragraph}</Text>
+              {buttonLabel && (
+                <Flex sx={{ pl: 3, pr: 3 }} justifyContent="flex-end">
+                  <Button
+                    onClick={() => window.open(buttonHref)}
+                    size="sm"
+                    variant="invokeAIOutline"
+                  >
+                    {buttonLabel}
+                  </Button>
+                </Flex>
+              )}
+            </Flex>
+          </Flex>
+        </PopoverBody>
+      </PopoverContent>
+    </Popover>
+  );
+}
+
+export default IAIInformationalPopover;
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx
new file mode 100644
index 0000000000..66c047fa26
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx
@@ -0,0 +1,16 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import InvokeAILogoImage from 'assets/images/logo.png';
+
+export const ParamPositiveConditioningPopover = (props: PropsWithChildren) => {
+  return (
+    <IAIInformationalPopover
+      heading="Prompt Box"
+      paragraph="This is where you enter your prompt"
+      buttonLabel="Learn more"
+      buttonHref="http://google.com"
+      image={InvokeAILogoImage}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
index ca45da121f..a36fe687e5 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
@@ -1,4 +1,11 @@
-import { Box, FormControl, useDisclosure } from '@chakra-ui/react';
+import {
+  Box,
+  FormControl,
+  Text,
+  Tooltip,
+  useDisclosure,
+  Heading,
+} from '@chakra-ui/react';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
@@ -20,6 +27,9 @@ import { flushSync } from 'react-dom';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
+import IAIInformationalPopover from '../../../../../common/components/IAIInformationalPopover';
+import InvokeAILogoImage from 'assets/images/logo.png';
+import { ParamPositiveConditioningPopover } from '../../../../informationalPopovers/components/paramPositiveConditioning';
 
 const promptInputSelector = createSelector(
   [stateSelector, activeTabNameSelector],
@@ -129,17 +139,19 @@ const ParamPositiveConditioning = () => {
           onClose={onClose}
           onSelect={handleSelectEmbedding}
         >
-          <IAITextarea
-            id="prompt"
-            name="prompt"
-            ref={promptRef}
-            value={prompt}
-            placeholder={t('parameters.positivePromptPlaceholder')}
-            onChange={handleChangePrompt}
-            onKeyDown={handleKeyDown}
-            resize="vertical"
-            minH={32}
-          />
+          <ParamPositiveConditioningPopover>
+            <IAITextarea
+              id="prompt"
+              name="prompt"
+              ref={promptRef}
+              value={prompt}
+              placeholder={t('parameters.positivePromptPlaceholder')}
+              onChange={handleChangePrompt}
+              onKeyDown={handleKeyDown}
+              resize="vertical"
+              minH={32}
+            />
+          </ParamPositiveConditioningPopover>
         </ParamEmbeddingPopover>
       </FormControl>
       {!isOpen && isEmbeddingEnabled && (
diff --git a/invokeai/frontend/web/src/theme/components/button.ts b/invokeai/frontend/web/src/theme/components/button.ts
index 056f3c145d..9d9b1cd5b0 100644
--- a/invokeai/frontend/web/src/theme/components/button.ts
+++ b/invokeai/frontend/web/src/theme/components/button.ts
@@ -92,6 +92,13 @@ const invokeAIOutline = defineStyle((props) => {
   return {
     border: '1px solid',
     borderColor: c === 'gray' ? borderColor : 'currentColor',
+    _hover: {
+      bg: mode(`${c}.500`, `${c}.500`)(props),
+      color: mode('white', `base.50`)(props),
+      svg: {
+        fill: mode('white', `base.50`)(props),
+      },
+    },
     '.chakra-button__group[data-attached][data-orientation=horizontal] > &:not(:last-of-type)':
       {
         marginEnd: '-1px',
diff --git a/invokeai/frontend/web/src/theme/components/popover.ts b/invokeai/frontend/web/src/theme/components/popover.ts
index a28e2bfbc4..55f69e9036 100644
--- a/invokeai/frontend/web/src/theme/components/popover.ts
+++ b/invokeai/frontend/web/src/theme/components/popover.ts
@@ -29,13 +29,34 @@ const invokeAIContent = defineStyle((props) => {
   };
 });
 
+const informationalContent = defineStyle((props) => {
+  return {
+    [$arrowBg.variable]: mode('colors.base.100', 'colors.base.600')(props),
+    [$popperBg.variable]: mode('colors.base.100', 'colors.base.600')(props),
+    [$arrowShadowColor.variable]: mode(
+      'colors.base.400',
+      'colors.base.400'
+    )(props),
+    p: 0,
+    bg: mode('base.100', 'base.600')(props),
+    border: 'none',
+    shadow: 'dark-lg',
+  };
+});
+
 const invokeAI = definePartsStyle((props) => ({
   content: invokeAIContent(props),
 }));
 
+const informational = definePartsStyle((props) => ({
+  content: informationalContent(props),
+  body: { padding: 0 },
+}));
+
 export const popoverTheme = defineMultiStyleConfig({
   variants: {
     invokeAI,
+    informational,
   },
   defaultProps: {
     variant: 'invokeAI',

From 7b2e6deaf1af9a24041d751b97ec9f997c00adc7 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Tue, 12 Sep 2023 16:33:46 -0400
Subject: [PATCH 094/265] add toggle for shouldDisableInformationalPopovers

---
 .../components/IAIInformationalPopover.tsx    | 114 ++++++++++--------
 .../SettingsModal/SettingsModal.tsx           |  13 ++
 .../src/features/system/store/systemSlice.ts  |   9 ++
 3 files changed, 83 insertions(+), 53 deletions(-)

diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
index 7e58e7e532..8f4e6428db 100644
--- a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
@@ -13,6 +13,8 @@ import {
   Image,
 } from '@chakra-ui/react';
 import { ReactNode } from 'react';
+import { useAppSelector } from '../../app/store/storeHooks';
+import { systemSelector } from '../../features/system/store/systemSelectors';
 
 interface Props extends PopoverProps {
   heading: string;
@@ -31,68 +33,74 @@ function IAIInformationalPopover({
   buttonHref,
   triggerComponent,
 }: Props) {
-  return (
-    <Popover
-      placement="top"
-      closeOnBlur={false}
-      trigger="hover"
-      variant="informational"
-    >
-      <PopoverTrigger>
-        <div>{triggerComponent}</div>
-      </PopoverTrigger>
-      <PopoverContent>
-        <PopoverArrow />
-        <PopoverCloseButton />
+  const { shouldDisableInformationalPopovers } = useAppSelector(systemSelector);
 
-        <PopoverBody>
-          <Flex
-            sx={{
-              gap: 3,
-              flexDirection: 'column',
-              width: '100%',
-            }}
-          >
-            {image && (
-              <Image
-                sx={{
-                  objectFit: 'contain',
-                  maxW: '100%',
-                  maxH: 'full',
-                  backgroundColor: 'white',
-                }}
-                src={image}
-                alt="Optional Image"
-              />
-            )}
+  if (shouldDisableInformationalPopovers) {
+    return triggerComponent;
+  } else {
+    return (
+      <Popover
+        placement="top"
+        closeOnBlur={false}
+        trigger="hover"
+        variant="informational"
+      >
+        <PopoverTrigger>
+          <div>{triggerComponent}</div>
+        </PopoverTrigger>
+        <PopoverContent>
+          <PopoverArrow />
+          <PopoverCloseButton />
+
+          <PopoverBody>
             <Flex
               sx={{
                 gap: 3,
                 flexDirection: 'column',
-
-                p: 3,
-                pt: 0,
+                width: '100%',
               }}
             >
-              <PopoverHeader>{heading}</PopoverHeader>
-              <Text sx={{ pl: 3, pr: 3 }}>{paragraph}</Text>
-              {buttonLabel && (
-                <Flex sx={{ pl: 3, pr: 3 }} justifyContent="flex-end">
-                  <Button
-                    onClick={() => window.open(buttonHref)}
-                    size="sm"
-                    variant="invokeAIOutline"
-                  >
-                    {buttonLabel}
-                  </Button>
-                </Flex>
+              {image && (
+                <Image
+                  sx={{
+                    objectFit: 'contain',
+                    maxW: '100%',
+                    maxH: 'full',
+                    backgroundColor: 'white',
+                  }}
+                  src={image}
+                  alt="Optional Image"
+                />
               )}
+              <Flex
+                sx={{
+                  gap: 3,
+                  flexDirection: 'column',
+
+                  p: 3,
+                  pt: 0,
+                }}
+              >
+                <PopoverHeader>{heading}</PopoverHeader>
+                <Text sx={{ pl: 3, pr: 3 }}>{paragraph}</Text>
+                {buttonLabel && (
+                  <Flex sx={{ pl: 3, pr: 3 }} justifyContent="flex-end">
+                    <Button
+                      onClick={() => window.open(buttonHref)}
+                      size="sm"
+                      variant="invokeAIOutline"
+                    >
+                      {buttonLabel}
+                    </Button>
+                  </Flex>
+                )}
+              </Flex>
             </Flex>
-          </Flex>
-        </PopoverBody>
-      </PopoverContent>
-    </Popover>
-  );
+          </PopoverBody>
+        </PopoverContent>
+      </Popover>
+    );
+  }
 }
 
 export default IAIInformationalPopover;
diff --git a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
index c1d02aed50..2c96df0f1b 100644
--- a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
+++ b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
@@ -24,6 +24,7 @@ import {
   consoleLogLevelChanged,
   setEnableImageDebugging,
   setShouldConfirmOnDelete,
+  setShouldDisableInformationalPopovers,
   shouldAntialiasProgressImageChanged,
   shouldLogToConsoleChanged,
   shouldUseNSFWCheckerChanged,
@@ -67,6 +68,7 @@ const selector = createSelector(
       shouldAntialiasProgressImage,
       shouldUseNSFWChecker,
       shouldUseWatermarker,
+      shouldDisableInformationalPopovers,
     } = system;
 
     const {
@@ -89,6 +91,7 @@ const selector = createSelector(
       shouldUseNSFWChecker,
       shouldUseWatermarker,
       shouldAutoChangeDimensions,
+      shouldDisableInformationalPopovers,
     };
   },
   {
@@ -165,6 +168,7 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
     shouldUseNSFWChecker,
     shouldUseWatermarker,
     shouldAutoChangeDimensions,
+    shouldDisableInformationalPopovers,
   } = useAppSelector(selector);
 
   const handleClickResetWebUI = useCallback(() => {
@@ -323,6 +327,15 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
                     onChange={handleLanguageChanged}
                   />
                 )}
+                <SettingSwitch
+                  label="Disable informational popovers"
+                  isChecked={shouldDisableInformationalPopovers}
+                  onChange={(e: ChangeEvent<HTMLInputElement>) =>
+                    dispatch(
+                      setShouldDisableInformationalPopovers(e.target.checked)
+                    )
+                  }
+                />
               </StyledFlex>
 
               {shouldShowDeveloperSettings && (
diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index 022762bc78..0e1be08feb 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -84,6 +84,7 @@ export interface SystemState {
   isUploading: boolean;
   shouldUseNSFWChecker: boolean;
   shouldUseWatermarker: boolean;
+  shouldDisableInformationalPopovers: boolean;
 }
 
 export const initialSystemState: SystemState = {
@@ -116,6 +117,7 @@ export const initialSystemState: SystemState = {
   isUploading: false,
   shouldUseNSFWChecker: false,
   shouldUseWatermarker: false,
+  shouldDisableInformationalPopovers: false,
 };
 
 export const systemSlice = createSlice({
@@ -194,6 +196,12 @@ export const systemSlice = createSlice({
     shouldUseWatermarkerChanged(state, action: PayloadAction<boolean>) {
       state.shouldUseWatermarker = action.payload;
     },
+    setShouldDisableInformationalPopovers(
+      state,
+      action: PayloadAction<boolean>
+    ) {
+      state.shouldDisableInformationalPopovers = action.payload;
+    },
   },
   extraReducers(builder) {
     /**
@@ -432,6 +440,7 @@ export const {
   progressImageSet,
   shouldUseNSFWCheckerChanged,
   shouldUseWatermarkerChanged,
+  setShouldDisableInformationalPopovers,
 } = systemSlice.actions;
 
 export default systemSlice.reducer;

From a21f5f259ce9a889737c1803d17a6eb77f4214a3 Mon Sep 17 00:00:00 2001
From: Jonathan <34005131+JPPhoto@users.noreply.github.com>
Date: Tue, 12 Sep 2023 16:31:35 -0500
Subject: [PATCH 095/265] Added crop option to ImagePasteInvocation (#4507)

* Added crop option to ImagePasteInvocation

ImagePasteInvocation extended the image with transparency when pasting outside of the base image's bounds. This introduces a new option to crop the resulting image back to the original base image.

* Updated version for ImagePasteInvocation as 3.1.1 was released.
---
 invokeai/app/invocations/image.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index dd7f927b6f..fda7561679 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -98,7 +98,7 @@ class ImageCropInvocation(BaseInvocation):
         )
 
 
-@invocation("img_paste", title="Paste Image", tags=["image", "paste"], category="image", version="1.0.0")
+@invocation("img_paste", title="Paste Image", tags=["image", "paste"], category="image", version="1.0.1")
 class ImagePasteInvocation(BaseInvocation):
     """Pastes an image into another image."""
 
@@ -110,6 +110,7 @@ class ImagePasteInvocation(BaseInvocation):
     )
     x: int = InputField(default=0, description="The left x coordinate at which to paste the image")
     y: int = InputField(default=0, description="The top y coordinate at which to paste the image")
+    crop: bool = InputField(default=False, description="Crop to base image dimensions")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         base_image = context.services.images.get_pil_image(self.base_image.image_name)
@@ -129,6 +130,10 @@ class ImagePasteInvocation(BaseInvocation):
         new_image.paste(base_image, (abs(min_x), abs(min_y)))
         new_image.paste(image, (max(0, self.x), max(0, self.y)), mask=mask)
 
+        if self.crop:
+            base_w, base_h = base_image.size
+            new_image = new_image.crop((abs(min_x), abs(min_y), abs(min_x) + base_w, abs(min_y) + base_h))
+
         image_dto = context.services.images.create(
             image=new_image,
             image_origin=ResourceOrigin.INTERNAL,

From c68b55f8e6a73517954d679317d7b33f0f0d0100 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Tue, 12 Sep 2023 18:07:54 +1000
Subject: [PATCH 096/265] Update latest tag format

---
 installer/create_installer.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/installer/create_installer.sh b/installer/create_installer.sh
index 134c7313ca..4e0771fecc 100755
--- a/installer/create_installer.sh
+++ b/installer/create_installer.sh
@@ -14,7 +14,7 @@ fi
 VERSION=$(cd ..; python -c "from invokeai.version import __version__ as version; print(version)")
 PATCH=""
 VERSION="v${VERSION}${PATCH}"
-LATEST_TAG="v3.0-latest"
+LATEST_TAG="v3-latest"
 
 echo Building installer for version $VERSION
 echo "Be certain that you're in the 'installer' directory before continuing."

From e9f5814c6d909e37f72228faed2f928a36a6f78d Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Tue, 12 Sep 2023 18:08:34 +1000
Subject: [PATCH 097/265] Update invokeai version to 3.1.1

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

diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py
index 60bb910ed6..d539d50ceb 100644
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "3.1.1rc1"
+__version__ = "3.1.1"

From 005087a65226f0c0b240d6af520482c59317a8e2 Mon Sep 17 00:00:00 2001
From: dunkeroni <dunkeroni@gmail.com>
Date: Tue, 5 Sep 2023 21:27:08 -0400
Subject: [PATCH 098/265] Added float math

---
 invokeai/app/invocations/math.py | 91 +++++++++++++++++++++++++++++++-
 1 file changed, 89 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index 0bc8b7b950..e3da88e4bf 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -1,21 +1,32 @@
 # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
 
 import numpy as np
+from typing import Literal
 
-from invokeai.app.invocations.primitives import IntegerOutput
+from invokeai.app.invocations.primitives import IntegerOutput, FloatOutput
 
 from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, invocation
 
 
 @invocation("add", title="Add Integers", tags=["math", "add"], category="math", version="1.0.0")
 class AddInvocation(BaseInvocation):
-    """Adds two numbers"""
+    """Adds two integer numbers"""
 
     a: int = InputField(default=0, description=FieldDescriptions.num_1)
     b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         return IntegerOutput(value=self.a + self.b)
+    
+@invocation("add_float", title="Add Floats", tags=["math", "add", "float"], category="math", version="1.0.0")
+class AddFloatInvocation(BaseInvocation):
+    """Adds two float numbers"""
+
+    a: float = InputField(default=0, description=FieldDescriptions.num_1)
+    b: float = InputField(default=0, description=FieldDescriptions.num_2)
+
+    def invoke(self, context: InvocationContext) -> FloatOutput:
+        return FloatOutput(value=self.a + self.b)
 
 
 @invocation("sub", title="Subtract Integers", tags=["math", "subtract"], category="math", version="1.0.0")
@@ -27,6 +38,16 @@ class SubtractInvocation(BaseInvocation):
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         return IntegerOutput(value=self.a - self.b)
+    
+@invocation("sub_float", title="Subtract Floats", tags=["math", "subtract", "float"], category="math", version="1.0.0")
+class SubtractFloatInvocation(BaseInvocation):
+    """Subtracts two float numbers"""
+
+    a: float = InputField(default=0, description=FieldDescriptions.num_1)
+    b: float = InputField(default=0, description=FieldDescriptions.num_2)
+
+    def invoke(self, context: InvocationContext) -> FloatOutput:
+        return FloatOutput(value=self.a - self.b)
 
 
 @invocation("mul", title="Multiply Integers", tags=["math", "multiply"], category="math", version="1.0.0")
@@ -39,6 +60,16 @@ class MultiplyInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         return IntegerOutput(value=self.a * self.b)
 
+@invocation("mul_float", title="Multiply Floats", tags=["math", "multiply", "float"], category="math", version="1.0.0")
+class MultiplyFloatInvocation(BaseInvocation):
+    """Multiplies two float numbers"""
+
+    a: float = InputField(default=0, description=FieldDescriptions.num_1)
+    b: float = InputField(default=0, description=FieldDescriptions.num_2)
+
+    def invoke(self, context: InvocationContext) -> FloatOutput:
+        return FloatOutput(value=self.a * self.b)
+
 
 @invocation("div", title="Divide Integers", tags=["math", "divide"], category="math", version="1.0.0")
 class DivideInvocation(BaseInvocation):
@@ -50,6 +81,16 @@ class DivideInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         return IntegerOutput(value=int(self.a / self.b))
 
+@invocation("div_float", title="Divide Floats", tags=["math", "divide", "float"], category="math", version="1.0.0")
+class DivideFloatInvocation(BaseInvocation):
+    """Divides two float numbers"""
+
+    a: float = InputField(default=0, description=FieldDescriptions.num_1)
+    b: float = InputField(default=0, description=FieldDescriptions.num_2)
+
+    def invoke(self, context: InvocationContext) -> FloatOutput:
+        return FloatOutput(value=self.a / self.b)
+
 
 @invocation("rand_int", title="Random Integer", tags=["math", "random"], category="math", version="1.0.0")
 class RandomIntInvocation(BaseInvocation):
@@ -60,3 +101,49 @@ class RandomIntInvocation(BaseInvocation):
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         return IntegerOutput(value=np.random.randint(self.low, self.high))
+
+
+@invocation("float_to_int", title="Float to Integer", tags=["math", "convert"], category="math", version="1.0.0")
+class FloatToIntInvocation(BaseInvocation):
+    """Converts a float to an integer."""
+
+    value: float = InputField(default=0, description="The float value")
+    method: Literal["Floor", "Ceiling"] = InputField(default="round", description="The method to use for conversion")
+
+    def invoke(self, context: InvocationContext) -> IntegerOutput:
+        if self.method == "Floor":
+            return IntegerOutput(value=np.floor(self.value))
+        else:
+            return IntegerOutput(value=np.ceil(self.value))
+
+
+@invocation("round", title="Round Float", tags=["math", "round"], category="math", version="1.0.0")
+class RoundInvocation(BaseInvocation):
+    """Rounds a float to a specified number of decimal places."""
+
+    value: float = InputField(default=0, description="The float value")
+    decimals: int = InputField(default=0, description="The number of decimal places")
+
+    def invoke(self, context: InvocationContext) -> FloatOutput:
+        return FloatOutput(value=round(self.value, self.decimals))
+
+
+@invocation("abs", title="Absolute Value", tags=["math", "abs"], category="math", version="1.0.0")
+class AbsoluteValueInvocation(BaseInvocation):
+    """Returns the absolute value of a number."""
+
+    value: float = InputField(default=0, description="The float value")
+
+    def invoke(self, context: InvocationContext) -> FloatOutput:
+        return FloatOutput(value=abs(self.value))
+
+
+@invocation("mod", title="Modulus", tags=["math", "modulus"], category="math", version="1.0.0")
+class ModulusInvocation(BaseInvocation):
+    """Returns the modulus of two numbers."""
+
+    a: int = InputField(default=0, description=FieldDescriptions.num_1)
+    b: int = InputField(default=0, description=FieldDescriptions.num_2)
+
+    def invoke(self, context: InvocationContext) -> IntegerOutput:
+        return IntegerOutput(value=self.a % self.b)
\ No newline at end of file

From 99ee47b79b2a651a640576985e7d5da7e1b7b5d2 Mon Sep 17 00:00:00 2001
From: dunkeroni <dunkeroni@gmail.com>
Date: Wed, 6 Sep 2023 09:39:47 -0400
Subject: [PATCH 099/265] Added square root function

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

diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index e3da88e4bf..fa10a20f8b 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -146,4 +146,14 @@ class ModulusInvocation(BaseInvocation):
     b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
-        return IntegerOutput(value=self.a % self.b)
\ No newline at end of file
+        return IntegerOutput(value=self.a % self.b)
+
+
+@invocation("sqrt", title="Square Root", tags=["math", "sqrt"], category="math", version="1.0.0")
+class SquareRootInvocation(BaseInvocation):
+    """Returns the square root of a number."""
+
+    value: float = InputField(default=0, ge=0, description="The float value")
+
+    def invoke(self, context: InvocationContext) -> FloatOutput:
+        return FloatOutput(value=np.sqrt(self.value))
\ No newline at end of file

From e542608534ddc2641c3711e1dfced51308a3602e Mon Sep 17 00:00:00 2001
From: dunkeroni <dunkeroni@gmail.com>
Date: Wed, 6 Sep 2023 22:06:19 -0400
Subject: [PATCH 100/265] changed float_to_int to generalized round_multiple
 node

---
 invokeai/app/invocations/math.py | 23 +++++++++++++----------
 1 file changed, 13 insertions(+), 10 deletions(-)

diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index fa10a20f8b..474c75d3d2 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -103,21 +103,24 @@ class RandomIntInvocation(BaseInvocation):
         return IntegerOutput(value=np.random.randint(self.low, self.high))
 
 
-@invocation("float_to_int", title="Float to Integer", tags=["math", "convert"], category="math", version="1.0.0")
-class FloatToIntInvocation(BaseInvocation):
-    """Converts a float to an integer."""
+@invocation("round_to_multiple", title="Round to Multiple", tags=["math", "round", "integer", "convert"], category="math", version="1.0.0")
+class RoundToMultipleInvocation(BaseInvocation):
+    """Rounds a number to the nearest integer multiple."""
 
-    value: float = InputField(default=0, description="The float value")
-    method: Literal["Floor", "Ceiling"] = InputField(default="round", description="The method to use for conversion")
+    value: float = InputField(default=0, description="The value to round")
+    multiple: int = InputField(default=1, ge=1, description="The multiple to round to")
+    method: Literal["Nearest", "Floor", "Ceiling"] = InputField(default="round", description="The method to use for rounding")
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
-        if self.method == "Floor":
-            return IntegerOutput(value=np.floor(self.value))
-        else:
-            return IntegerOutput(value=np.ceil(self.value))
+        if self.method == "Nearest":
+            return IntegerOutput(value=round(self.value / self.multiple) * self.multiple)
+        elif self.method == "Floor":
+            return IntegerOutput(value=np.floor(self.value / self.multiple) * self.multiple)
+        else: #self.method == "Ceiling"
+            return IntegerOutput(value=np.ceil(self.value / self.multiple) * self.multiple)
 
 
-@invocation("round", title="Round Float", tags=["math", "round"], category="math", version="1.0.0")
+@invocation("round_float", title="Round Float", tags=["math", "round"], category="math", version="1.0.0")
 class RoundInvocation(BaseInvocation):
     """Rounds a float to a specified number of decimal places."""
 

From dbde08f3d42d40a8d65defc1c34e6c3ca211e761 Mon Sep 17 00:00:00 2001
From: dunkeroni <dunkeroni@gmail.com>
Date: Wed, 6 Sep 2023 22:43:14 -0400
Subject: [PATCH 101/265] Updated default value on round to multiple

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

diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index 474c75d3d2..61c1dd3317 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -86,7 +86,7 @@ class DivideFloatInvocation(BaseInvocation):
     """Divides two float numbers"""
 
     a: float = InputField(default=0, description=FieldDescriptions.num_1)
-    b: float = InputField(default=0, description=FieldDescriptions.num_2)
+    b: float = InputField(default=1, description=FieldDescriptions.num_2)
 
     def invoke(self, context: InvocationContext) -> FloatOutput:
         return FloatOutput(value=self.a / self.b)
@@ -109,7 +109,7 @@ class RoundToMultipleInvocation(BaseInvocation):
 
     value: float = InputField(default=0, description="The value to round")
     multiple: int = InputField(default=1, ge=1, description="The multiple to round to")
-    method: Literal["Nearest", "Floor", "Ceiling"] = InputField(default="round", description="The method to use for rounding")
+    method: Literal["Nearest", "Floor", "Ceiling"] = InputField(default="Nearest", description="The method to use for rounding")
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         if self.method == "Nearest":

From 79ca18127693d4932d2b48b3de1729bb2ba9fc5d Mon Sep 17 00:00:00 2001
From: dunkeroni <dunkeroni@gmail.com>
Date: Wed, 6 Sep 2023 22:51:49 -0400
Subject: [PATCH 102/265] documentation update

---
 docs/nodes/defaultNodes.md | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/docs/nodes/defaultNodes.md b/docs/nodes/defaultNodes.md
index 8bc304216d..9b91db9348 100644
--- a/docs/nodes/defaultNodes.md
+++ b/docs/nodes/defaultNodes.md
@@ -5,6 +5,8 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 | Node <img width=160 align="right"> | Function                                                                              |
 |: ---------------------------------- | :--------------------------------------------------------------------------------------|
 |Add Integers 			| Adds two numbers|
+|Add Floats             | Adds two floating point numbers|
+|Absolute Value         | Returns the positive form of a float|
 |Boolean Primitive Collection 			| A collection of boolean primitive values|
 |Boolean Primitive 			| A boolean primitive value|
 |Canny Processor 			| Canny edge detection for ControlNet|
@@ -20,6 +22,7 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 |OpenCV Inpaint 			| Simple inpaint using opencv.|
 |Denoise Latents 			| Denoises noisy latents to decodable images|
 |Divide Integers 			| Divides two numbers|
+|Divide Floats              | Divides two floating point numbers|
 |Dynamic Prompt 			| Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator|
 |Upscale (RealESRGAN) 			| Upscales an image using RealESRGAN.|
 |Float Primitive Collection 			| A collection of float primitive values|
@@ -42,6 +45,8 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 |Paste Image 			| Pastes an image into another image.|
 |ImageProcessor 			| Base class for invocations that preprocess images for ControlNet|
 |Resize Image 			| Resizes an image to specific dimensions|
+|Round Float            | Rounds a float to a specified number of decimal places|
+|Round To Multiple      | Converts a float to an integer|
 |Scale Image 			| Scales an image by a factor|
 |Image to Latents 			| Encodes an image into latents.|
 |Add Invisible Watermark 			| Add an invisible watermark to an image|
@@ -65,7 +70,9 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 |Mediapipe Face Processor 			| Applies mediapipe face processing to image|
 |Midas (Depth) Processor 			| Applies Midas depth processing to image|
 |MLSD Processor 			| Applies MLSD processing to image|
+|Modulus                    | Returns the remainder after integer division|
 |Multiply Integers 			| Multiplies two numbers|
+|Multiply Floats            | Multiplies two floating point numbers|
 |Noise 			| Generates latent noise.|
 |Normal BAE Processor 			| Applies NormalBae processing to image|
 |ONNX Latents to Image 			| Generates an image from latents.|
@@ -92,6 +99,8 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 |String Primitive Collection 			| A collection of string primitive values|
 |String Primitive 			| A string primitive value|
 |Subtract Integers 			| Subtracts two numbers|
+|Subtract Floats            | Subtracts two floating point numbers|
+|Square Root                | Returns the square root of a float|
 |Tile Resample Processor 			| Tile resampler processor|
 |VAE Loader 			| Loads a VAE model, outputting a VaeLoaderOutput|
 |Zoe (Depth) Processor 			| Applies Zoe depth processing to image|
\ No newline at end of file

From 486b8506aab8cb828c69ea3149f6d872d3dd55fa Mon Sep 17 00:00:00 2001
From: dunkeroni <dunkeroni@gmail.com>
Date: Sun, 10 Sep 2023 00:27:15 -0400
Subject: [PATCH 103/265] Combined nodes to Float and Int general maths

---
 invokeai/app/invocations/math.py | 197 +++++++++++++++++++++----------
 1 file changed, 135 insertions(+), 62 deletions(-)

diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index 61c1dd3317..df5b5ec0d3 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -4,6 +4,7 @@ import numpy as np
 from typing import Literal
 
 from invokeai.app.invocations.primitives import IntegerOutput, FloatOutput
+from pydantic import validator
 
 from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, invocation
 
@@ -17,16 +18,6 @@ class AddInvocation(BaseInvocation):
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         return IntegerOutput(value=self.a + self.b)
-    
-@invocation("add_float", title="Add Floats", tags=["math", "add", "float"], category="math", version="1.0.0")
-class AddFloatInvocation(BaseInvocation):
-    """Adds two float numbers"""
-
-    a: float = InputField(default=0, description=FieldDescriptions.num_1)
-    b: float = InputField(default=0, description=FieldDescriptions.num_2)
-
-    def invoke(self, context: InvocationContext) -> FloatOutput:
-        return FloatOutput(value=self.a + self.b)
 
 
 @invocation("sub", title="Subtract Integers", tags=["math", "subtract"], category="math", version="1.0.0")
@@ -38,16 +29,6 @@ class SubtractInvocation(BaseInvocation):
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         return IntegerOutput(value=self.a - self.b)
-    
-@invocation("sub_float", title="Subtract Floats", tags=["math", "subtract", "float"], category="math", version="1.0.0")
-class SubtractFloatInvocation(BaseInvocation):
-    """Subtracts two float numbers"""
-
-    a: float = InputField(default=0, description=FieldDescriptions.num_1)
-    b: float = InputField(default=0, description=FieldDescriptions.num_2)
-
-    def invoke(self, context: InvocationContext) -> FloatOutput:
-        return FloatOutput(value=self.a - self.b)
 
 
 @invocation("mul", title="Multiply Integers", tags=["math", "multiply"], category="math", version="1.0.0")
@@ -60,16 +41,6 @@ class MultiplyInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         return IntegerOutput(value=self.a * self.b)
 
-@invocation("mul_float", title="Multiply Floats", tags=["math", "multiply", "float"], category="math", version="1.0.0")
-class MultiplyFloatInvocation(BaseInvocation):
-    """Multiplies two float numbers"""
-
-    a: float = InputField(default=0, description=FieldDescriptions.num_1)
-    b: float = InputField(default=0, description=FieldDescriptions.num_2)
-
-    def invoke(self, context: InvocationContext) -> FloatOutput:
-        return FloatOutput(value=self.a * self.b)
-
 
 @invocation("div", title="Divide Integers", tags=["math", "divide"], category="math", version="1.0.0")
 class DivideInvocation(BaseInvocation):
@@ -81,16 +52,6 @@ class DivideInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         return IntegerOutput(value=int(self.a / self.b))
 
-@invocation("div_float", title="Divide Floats", tags=["math", "divide", "float"], category="math", version="1.0.0")
-class DivideFloatInvocation(BaseInvocation):
-    """Divides two float numbers"""
-
-    a: float = InputField(default=0, description=FieldDescriptions.num_1)
-    b: float = InputField(default=1, description=FieldDescriptions.num_2)
-
-    def invoke(self, context: InvocationContext) -> FloatOutput:
-        return FloatOutput(value=self.a / self.b)
-
 
 @invocation("rand_int", title="Random Integer", tags=["math", "random"], category="math", version="1.0.0")
 class RandomIntInvocation(BaseInvocation):
@@ -103,21 +64,23 @@ class RandomIntInvocation(BaseInvocation):
         return IntegerOutput(value=np.random.randint(self.low, self.high))
 
 
-@invocation("round_to_multiple", title="Round to Multiple", tags=["math", "round", "integer", "convert"], category="math", version="1.0.0")
+@invocation("float_to_int", title="Float To Integer", tags=["math", "round", "integer", "float", "convert"], category="math", version="1.0.0")
 class RoundToMultipleInvocation(BaseInvocation):
-    """Rounds a number to the nearest integer multiple."""
+    """Rounds a float number to (a multiple of) an integer."""
 
     value: float = InputField(default=0, description="The value to round")
-    multiple: int = InputField(default=1, ge=1, description="The multiple to round to")
-    method: Literal["Nearest", "Floor", "Ceiling"] = InputField(default="Nearest", description="The method to use for rounding")
+    multiple: int = InputField(default=1, ge=1,title="Multiple of", description="The multiple to round to")
+    method: Literal["Nearest", "Floor", "Ceiling", "Truncate"] = InputField(default="Nearest", description="The method to use for rounding")
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         if self.method == "Nearest":
             return IntegerOutput(value=round(self.value / self.multiple) * self.multiple)
         elif self.method == "Floor":
             return IntegerOutput(value=np.floor(self.value / self.multiple) * self.multiple)
-        else: #self.method == "Ceiling"
+        elif self.method == "Ceiling":
             return IntegerOutput(value=np.ceil(self.value / self.multiple) * self.multiple)
+        else: #self.method == "Truncate"
+            return IntegerOutput(value=int(self.value / self.multiple) * self.multiple)
 
 
 @invocation("round_float", title="Round Float", tags=["math", "round"], category="math", version="1.0.0")
@@ -131,32 +94,142 @@ class RoundInvocation(BaseInvocation):
         return FloatOutput(value=round(self.value, self.decimals))
 
 
-@invocation("abs", title="Absolute Value", tags=["math", "abs"], category="math", version="1.0.0")
-class AbsoluteValueInvocation(BaseInvocation):
-    """Returns the absolute value of a number."""
-
-    value: float = InputField(default=0, description="The float value")
-
-    def invoke(self, context: InvocationContext) -> FloatOutput:
-        return FloatOutput(value=abs(self.value))
+INTEGER_OPERATIONS = Literal[
+    "Add A+B",
+    "Subtract A-B",
+    "Multiply A*B",
+    "Divide A/B",
+    "Exponentiate A^B",
+    "Modulus A%B",
+    "Absolute Value of A",
+    "Minimum(A,B)",
+    "Maximum(A,B)"
+]
 
 
-@invocation("mod", title="Modulus", tags=["math", "modulus"], category="math", version="1.0.0")
-class ModulusInvocation(BaseInvocation):
-    """Returns the modulus of two numbers."""
+@invocation(
+    "integer_math",
+    title="Integer Math",
+    tags=[
+        "math",
+        "integer",
+        "add",
+        "subtract",
+        "multiply",
+        "divide",
+        "modulus",
+        "power",
+        "absolute value",
+        "min",
+        "max"
+        ],
+        category="math",
+        version="1.0.0"
+)
+class IntegerMathInvocation(BaseInvocation):
+    """Performs integer math."""
 
+    operation: INTEGER_OPERATIONS = InputField(default="Add A+B", description="The operation to perform")
     a: int = InputField(default=0, description=FieldDescriptions.num_1)
     b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
+    @validator("operation")
+    def no_divide_by_zero(cls, v, values):
+        if v == "Divide A/B" and values["b"] == 0:
+            raise ValueError("Cannot divide by zero")
+        elif v == "Modulus A%B" and values["b"] == 0:
+            raise ValueError("Cannot divide by zero")
+        elif v == "Exponentiate A^B" and values["b"] < 0:
+            raise ValueError("Result of exponentiation is not an integer")
+        return v
+
     def invoke(self, context: InvocationContext) -> IntegerOutput:
-        return IntegerOutput(value=self.a % self.b)
+        #Python doesn't support switch statements until 3.10, but InvokeAI supports back to 3.9
+        if self.operation == "Add A+B":
+            return IntegerOutput(value=self.a + self.b)
+        elif self.operation == "Subtract A-B":
+            return IntegerOutput(value=self.a - self.b)
+        elif self.operation == "Multiply A*B":
+            return IntegerOutput(value=self.a * self.b)
+        elif self.operation == "Divide A/B":
+            return IntegerOutput(value=int(self.a / self.b))
+        elif self.operation == "Exponentiate A^B":
+            return IntegerOutput(value=self.a ** self.b)
+        elif self.operation == "Modulus A%B":
+            return IntegerOutput(value=self.a % self.b)
+        elif self.operation == "Absolute Value of A":
+            return IntegerOutput(value=abs(self.a))
+        elif self.operation == "Minimum(A,B)":
+            return IntegerOutput(value=min(self.a, self.b))
+        else: #self.operation == "Maximum(A,B)":
+            return IntegerOutput(value=max(self.a, self.b))
 
 
-@invocation("sqrt", title="Square Root", tags=["math", "sqrt"], category="math", version="1.0.0")
-class SquareRootInvocation(BaseInvocation):
-    """Returns the square root of a number."""
+FLOAT_OPERATIONS = Literal[
+    "Add A+B",
+    "Subtract A-B",
+    "Multiply A*B",
+    "Divide A/B",
+    "Exponentiate A^B",
+    "Absolute Value of A",
+    "Minimum(A,B)",
+    "Maximum(A,B)"
+]
 
-    value: float = InputField(default=0, ge=0, description="The float value")
+
+@invocation(
+    "float_math",
+    title="Float Math",
+    tags=[
+        "math",
+        "float",
+        "add",
+        "subtract",
+        "multiply",
+        "divide",
+        "power",
+        "root",
+        "absolute value",
+        "min",
+        "max"
+    ],
+    category="math",
+    version="1.0.0"
+)
+class FloatMathInvocation(BaseInvocation):
+    """Performs floating point math."""
+
+    operation: FLOAT_OPERATIONS = InputField(default="Add A+B", description="The operation to perform")
+    a: float = InputField(default=0, description=FieldDescriptions.num_1)
+    b: float = InputField(default=0, description=FieldDescriptions.num_2)
+
+    @validator("operation")
+    def no_divide_by_zero(cls, v, values):
+        if v == "Divide A/B" and values["b"] == 0:
+            raise ValueError("Cannot divide by zero")
+        elif v == "Exponentiate A^B" and values["a"] == 0 and values["b"] < 0:
+            raise ValueError("Cannot raise zero to a negative power")
+        elif v == "Exponentiate A^B" and type(values["a"]**values["b"]) == complex:
+            raise ValueError("Root operation resulted in a complex number")
+        return v
 
     def invoke(self, context: InvocationContext) -> FloatOutput:
-        return FloatOutput(value=np.sqrt(self.value))
\ No newline at end of file
+        #Python doesn't support switch statements until 3.10, but InvokeAI supports back to 3.9
+        if self.operation == "Add A+B":
+            return FloatOutput(value=self.a + self.b)
+        elif self.operation == "Subtract A-B":
+            return FloatOutput(value=self.a - self.b)
+        elif self.operation == "Multiply A*B":
+            return FloatOutput(value=self.a * self.b)
+        elif self.operation == "Divide A/B":
+            return FloatOutput(value=self.a / self.b)
+        elif self.operation == "Exponentiate A^B":
+            return FloatOutput(value=self.a ** self.b)
+        elif self.operation == "Square Root of A":
+            return FloatOutput(value=np.sqrt(self.a))
+        elif self.operation == "Absolute Value of A":
+            return FloatOutput(value=abs(self.a))
+        elif self.operation == "Minimum(A,B)":
+            return FloatOutput(value=min(self.a, self.b))
+        else: #self.operation == "Maximum(A,B)":
+            return FloatOutput(value=max(self.a, self.b))
\ No newline at end of file

From 244201b45dc9c7e3c21826488774410b5f1d5e99 Mon Sep 17 00:00:00 2001
From: dunkeroni <dunkeroni@gmail.com>
Date: Sun, 10 Sep 2023 00:52:53 -0400
Subject: [PATCH 104/265] Cleanup documentation

---
 docs/nodes/defaultNodes.md       | 9 ++-------
 invokeai/app/invocations/math.py | 2 +-
 2 files changed, 3 insertions(+), 8 deletions(-)

diff --git a/docs/nodes/defaultNodes.md b/docs/nodes/defaultNodes.md
index 9b91db9348..33561677c7 100644
--- a/docs/nodes/defaultNodes.md
+++ b/docs/nodes/defaultNodes.md
@@ -5,8 +5,6 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 | Node <img width=160 align="right"> | Function                                                                              |
 |: ---------------------------------- | :--------------------------------------------------------------------------------------|
 |Add Integers 			| Adds two numbers|
-|Add Floats             | Adds two floating point numbers|
-|Absolute Value         | Returns the positive form of a float|
 |Boolean Primitive Collection 			| A collection of boolean primitive values|
 |Boolean Primitive 			| A boolean primitive value|
 |Canny Processor 			| Canny edge detection for ControlNet|
@@ -22,9 +20,9 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 |OpenCV Inpaint 			| Simple inpaint using opencv.|
 |Denoise Latents 			| Denoises noisy latents to decodable images|
 |Divide Integers 			| Divides two numbers|
-|Divide Floats              | Divides two floating point numbers|
 |Dynamic Prompt 			| Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator|
 |Upscale (RealESRGAN) 			| Upscales an image using RealESRGAN.|
+|Float Math             | Perform basic math operations on two floats|
 |Float Primitive Collection 			| A collection of float primitive values|
 |Float Primitive 			| A float primitive value|
 |Float Range 			| Creates a range|
@@ -32,6 +30,7 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 |Blur Image 			| Blurs an image|
 |Extract Image Channel 			| Gets a channel from an image.|
 |Image Primitive Collection 			| A collection of image primitive values|
+|Integer Math           | Perform basic math operations on two integers|
 |Convert Image Mode 			| Converts an image to a different mode.|
 |Crop Image 			| Crops an image to a specified box. The box can be outside of the image.|
 |Image Hue Adjustment 			| Adjusts the Hue of an image.|
@@ -70,9 +69,7 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 |Mediapipe Face Processor 			| Applies mediapipe face processing to image|
 |Midas (Depth) Processor 			| Applies Midas depth processing to image|
 |MLSD Processor 			| Applies MLSD processing to image|
-|Modulus                    | Returns the remainder after integer division|
 |Multiply Integers 			| Multiplies two numbers|
-|Multiply Floats            | Multiplies two floating point numbers|
 |Noise 			| Generates latent noise.|
 |Normal BAE Processor 			| Applies NormalBae processing to image|
 |ONNX Latents to Image 			| Generates an image from latents.|
@@ -99,8 +96,6 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 |String Primitive Collection 			| A collection of string primitive values|
 |String Primitive 			| A string primitive value|
 |Subtract Integers 			| Subtracts two numbers|
-|Subtract Floats            | Subtracts two floating point numbers|
-|Square Root                | Returns the square root of a float|
 |Tile Resample Processor 			| Tile resampler processor|
 |VAE Loader 			| Loads a VAE model, outputting a VaeLoaderOutput|
 |Zoe (Depth) Processor 			| Applies Zoe depth processing to image|
\ No newline at end of file
diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index df5b5ec0d3..31e7b1b257 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -11,7 +11,7 @@ from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, Invoc
 
 @invocation("add", title="Add Integers", tags=["math", "add"], category="math", version="1.0.0")
 class AddInvocation(BaseInvocation):
-    """Adds two integer numbers"""
+    """Adds two numbers"""
 
     a: int = InputField(default=0, description=FieldDescriptions.num_1)
     b: int = InputField(default=0, description=FieldDescriptions.num_2)

From 41f2eaa4de07869fff1e670ff29eefa8253cd223 Mon Sep 17 00:00:00 2001
From: dunkeroni <dunkeroni@gmail.com>
Date: Sun, 10 Sep 2023 00:55:46 -0400
Subject: [PATCH 105/265] updated name references for Float To Integer

---
 docs/nodes/defaultNodes.md       | 2 +-
 invokeai/app/invocations/math.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/nodes/defaultNodes.md b/docs/nodes/defaultNodes.md
index 33561677c7..b022eeed14 100644
--- a/docs/nodes/defaultNodes.md
+++ b/docs/nodes/defaultNodes.md
@@ -45,7 +45,7 @@ The table below contains a list of the default nodes shipped with InvokeAI and t
 |ImageProcessor 			| Base class for invocations that preprocess images for ControlNet|
 |Resize Image 			| Resizes an image to specific dimensions|
 |Round Float            | Rounds a float to a specified number of decimal places|
-|Round To Multiple      | Converts a float to an integer|
+|Float to Integer       | Converts a float to an integer. Optionally rounds to an even multiple of a input number.|
 |Scale Image 			| Scales an image by a factor|
 |Image to Latents 			| Encodes an image into latents.|
 |Add Invisible Watermark 			| Add an invisible watermark to an image|
diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index 31e7b1b257..06d7d58d83 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -65,7 +65,7 @@ class RandomIntInvocation(BaseInvocation):
 
 
 @invocation("float_to_int", title="Float To Integer", tags=["math", "round", "integer", "float", "convert"], category="math", version="1.0.0")
-class RoundToMultipleInvocation(BaseInvocation):
+class FloatToIntegerInvocation(BaseInvocation):
     """Rounds a float number to (a multiple of) an integer."""
 
     value: float = InputField(default=0, description="The value to round")

From 93c55ebcf24408b9b61c77908290d46a9ffccc00 Mon Sep 17 00:00:00 2001
From: dunkeroni <dunkeroni@gmail.com>
Date: Sun, 10 Sep 2023 02:17:53 -0400
Subject: [PATCH 106/265] fixed validator when operation is first input

---
 invokeai/app/invocations/math.py | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index 06d7d58d83..0b95ec01b7 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -133,13 +133,13 @@ class IntegerMathInvocation(BaseInvocation):
     a: int = InputField(default=0, description=FieldDescriptions.num_1)
     b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
-    @validator("operation")
-    def no_divide_by_zero(cls, v, values):
-        if v == "Divide A/B" and values["b"] == 0:
+    @validator("b")
+    def no_unrepresentable_results(cls, v, values):
+        if values["operation"] == "Divide A/B" and v == 0:
             raise ValueError("Cannot divide by zero")
-        elif v == "Modulus A%B" and values["b"] == 0:
+        elif values["operation"] == "Modulus A%B" and v == 0:
             raise ValueError("Cannot divide by zero")
-        elif v == "Exponentiate A^B" and values["b"] < 0:
+        elif values["operation"] == "Exponentiate A^B" and v < 0:
             raise ValueError("Result of exponentiation is not an integer")
         return v
 
@@ -203,13 +203,13 @@ class FloatMathInvocation(BaseInvocation):
     a: float = InputField(default=0, description=FieldDescriptions.num_1)
     b: float = InputField(default=0, description=FieldDescriptions.num_2)
 
-    @validator("operation")
-    def no_divide_by_zero(cls, v, values):
-        if v == "Divide A/B" and values["b"] == 0:
+    @validator("b")
+    def no_unrepresentable_results(cls, v, values):
+        if values["operation"] == "Divide A/B" and v == 0:
             raise ValueError("Cannot divide by zero")
-        elif v == "Exponentiate A^B" and values["a"] == 0 and values["b"] < 0:
+        elif values["operation"] == "Exponentiate A^B" and values["a"] == 0 and v < 0:
             raise ValueError("Cannot raise zero to a negative power")
-        elif v == "Exponentiate A^B" and type(values["a"]**values["b"]) == complex:
+        elif values["operation"] == "Exponentiate A^B" and type(values["a"]**v) == complex:
             raise ValueError("Root operation resulted in a complex number")
         return v
 

From ec0f6e72480a35529048943efca8157ac6595b23 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 13 Sep 2023 15:49:19 +1000
Subject: [PATCH 107/265] chore: black

---
 invokeai/app/invocations/math.py | 60 +++++++++++++++-----------------
 1 file changed, 28 insertions(+), 32 deletions(-)

diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index 0b95ec01b7..0a45ed72d4 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -64,13 +64,21 @@ class RandomIntInvocation(BaseInvocation):
         return IntegerOutput(value=np.random.randint(self.low, self.high))
 
 
-@invocation("float_to_int", title="Float To Integer", tags=["math", "round", "integer", "float", "convert"], category="math", version="1.0.0")
+@invocation(
+    "float_to_int",
+    title="Float To Integer",
+    tags=["math", "round", "integer", "float", "convert"],
+    category="math",
+    version="1.0.0",
+)
 class FloatToIntegerInvocation(BaseInvocation):
     """Rounds a float number to (a multiple of) an integer."""
 
     value: float = InputField(default=0, description="The value to round")
-    multiple: int = InputField(default=1, ge=1,title="Multiple of", description="The multiple to round to")
-    method: Literal["Nearest", "Floor", "Ceiling", "Truncate"] = InputField(default="Nearest", description="The method to use for rounding")
+    multiple: int = InputField(default=1, ge=1, title="Multiple of", description="The multiple to round to")
+    method: Literal["Nearest", "Floor", "Ceiling", "Truncate"] = InputField(
+        default="Nearest", description="The method to use for rounding"
+    )
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         if self.method == "Nearest":
@@ -79,7 +87,7 @@ class FloatToIntegerInvocation(BaseInvocation):
             return IntegerOutput(value=np.floor(self.value / self.multiple) * self.multiple)
         elif self.method == "Ceiling":
             return IntegerOutput(value=np.ceil(self.value / self.multiple) * self.multiple)
-        else: #self.method == "Truncate"
+        else:  # self.method == "Truncate"
             return IntegerOutput(value=int(self.value / self.multiple) * self.multiple)
 
 
@@ -103,7 +111,7 @@ INTEGER_OPERATIONS = Literal[
     "Modulus A%B",
     "Absolute Value of A",
     "Minimum(A,B)",
-    "Maximum(A,B)"
+    "Maximum(A,B)",
 ]
 
 
@@ -121,10 +129,10 @@ INTEGER_OPERATIONS = Literal[
         "power",
         "absolute value",
         "min",
-        "max"
-        ],
-        category="math",
-        version="1.0.0"
+        "max",
+    ],
+    category="math",
+    version="1.0.0",
 )
 class IntegerMathInvocation(BaseInvocation):
     """Performs integer math."""
@@ -144,7 +152,7 @@ class IntegerMathInvocation(BaseInvocation):
         return v
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
-        #Python doesn't support switch statements until 3.10, but InvokeAI supports back to 3.9
+        # Python doesn't support switch statements until 3.10, but InvokeAI supports back to 3.9
         if self.operation == "Add A+B":
             return IntegerOutput(value=self.a + self.b)
         elif self.operation == "Subtract A-B":
@@ -154,14 +162,14 @@ class IntegerMathInvocation(BaseInvocation):
         elif self.operation == "Divide A/B":
             return IntegerOutput(value=int(self.a / self.b))
         elif self.operation == "Exponentiate A^B":
-            return IntegerOutput(value=self.a ** self.b)
+            return IntegerOutput(value=self.a**self.b)
         elif self.operation == "Modulus A%B":
             return IntegerOutput(value=self.a % self.b)
         elif self.operation == "Absolute Value of A":
             return IntegerOutput(value=abs(self.a))
         elif self.operation == "Minimum(A,B)":
             return IntegerOutput(value=min(self.a, self.b))
-        else: #self.operation == "Maximum(A,B)":
+        else:  # self.operation == "Maximum(A,B)":
             return IntegerOutput(value=max(self.a, self.b))
 
 
@@ -173,28 +181,16 @@ FLOAT_OPERATIONS = Literal[
     "Exponentiate A^B",
     "Absolute Value of A",
     "Minimum(A,B)",
-    "Maximum(A,B)"
+    "Maximum(A,B)",
 ]
 
 
 @invocation(
     "float_math",
     title="Float Math",
-    tags=[
-        "math",
-        "float",
-        "add",
-        "subtract",
-        "multiply",
-        "divide",
-        "power",
-        "root",
-        "absolute value",
-        "min",
-        "max"
-    ],
+    tags=["math", "float", "add", "subtract", "multiply", "divide", "power", "root", "absolute value", "min", "max"],
     category="math",
-    version="1.0.0"
+    version="1.0.0",
 )
 class FloatMathInvocation(BaseInvocation):
     """Performs floating point math."""
@@ -209,12 +205,12 @@ class FloatMathInvocation(BaseInvocation):
             raise ValueError("Cannot divide by zero")
         elif values["operation"] == "Exponentiate A^B" and values["a"] == 0 and v < 0:
             raise ValueError("Cannot raise zero to a negative power")
-        elif values["operation"] == "Exponentiate A^B" and type(values["a"]**v) == complex:
+        elif values["operation"] == "Exponentiate A^B" and type(values["a"] ** v) == complex:
             raise ValueError("Root operation resulted in a complex number")
         return v
 
     def invoke(self, context: InvocationContext) -> FloatOutput:
-        #Python doesn't support switch statements until 3.10, but InvokeAI supports back to 3.9
+        # Python doesn't support switch statements until 3.10, but InvokeAI supports back to 3.9
         if self.operation == "Add A+B":
             return FloatOutput(value=self.a + self.b)
         elif self.operation == "Subtract A-B":
@@ -224,12 +220,12 @@ class FloatMathInvocation(BaseInvocation):
         elif self.operation == "Divide A/B":
             return FloatOutput(value=self.a / self.b)
         elif self.operation == "Exponentiate A^B":
-            return FloatOutput(value=self.a ** self.b)
+            return FloatOutput(value=self.a**self.b)
         elif self.operation == "Square Root of A":
             return FloatOutput(value=np.sqrt(self.a))
         elif self.operation == "Absolute Value of A":
             return FloatOutput(value=abs(self.a))
         elif self.operation == "Minimum(A,B)":
             return FloatOutput(value=min(self.a, self.b))
-        else: #self.operation == "Maximum(A,B)":
-            return FloatOutput(value=max(self.a, self.b))
\ No newline at end of file
+        else:  # self.operation == "Maximum(A,B)":
+            return FloatOutput(value=max(self.a, self.b))

From 57ebf735e60f1c2143086dc3eed120601ba8d61f Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 13 Sep 2023 16:24:22 +1000
Subject: [PATCH 108/265] feat(nodes): add `InputField.ui_choice_labels:
 dict[str, str]`

This maps values to labels for multiple-choice fields.

This allows "enum" fields (i.e. `Literal["val1", "val2", ...]` fields) to use code-friendly string values for choices, but present this to the UI as human-friendly labels.
---
 invokeai/app/invocations/baseinvocation.py    |   3 +
 .../fields/inputs/EnumInputField.tsx          |   6 +-
 .../web/src/features/nodes/types/types.ts     |   8 +-
 .../nodes/util/fieldTemplateBuilders.ts       |   4 +-
 .../features/nodes/util/fieldValueBuilders.ts |  18 +-
 .../frontend/web/src/services/api/schema.d.ts | 211 ++++++++++++++++--
 6 files changed, 215 insertions(+), 35 deletions(-)

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 715ee5ca6e..9fbd920dd2 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -198,6 +198,7 @@ class _InputField(BaseModel):
     ui_type: Optional[UIType]
     ui_component: Optional[UIComponent]
     ui_order: Optional[int]
+    ui_choice_labels: Optional[dict[str, str]]
     item_default: Optional[Any]
 
 
@@ -246,6 +247,7 @@ def InputField(
     ui_component: Optional[UIComponent] = None,
     ui_hidden: bool = False,
     ui_order: Optional[int] = None,
+    ui_choice_labels: Optional[dict[str, str]] = None,
     item_default: Optional[Any] = None,
     **kwargs: Any,
 ) -> Any:
@@ -312,6 +314,7 @@ def InputField(
         ui_hidden=ui_hidden,
         ui_order=ui_order,
         item_default=item_default,
+        ui_choice_labels=ui_choice_labels,
         **kwargs,
     )
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/EnumInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/EnumInputField.tsx
index 84ecf4842e..277020d847 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/EnumInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/EnumInputField.tsx
@@ -35,7 +35,11 @@ const EnumInputFieldComponent = (
       value={field.value}
     >
       {fieldTemplate.options.map((option) => (
-        <option key={option}>{option}</option>
+        <option key={option} value={option}>
+          {fieldTemplate.ui_choice_labels
+            ? fieldTemplate.ui_choice_labels[option]
+            : option}
+        </option>
       ))}
     </Select>
   );
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index 402ef4ac7a..b1ad6a7b96 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -286,7 +286,7 @@ export type BooleanPolymorphicInputFieldValue = z.infer<
 
 export const zEnumInputFieldValue = zInputFieldValueBase.extend({
   type: z.literal('enum'),
-  value: z.union([z.string(), z.number()]).optional(),
+  value: z.string().optional(),
 });
 export type EnumInputFieldValue = z.infer<typeof zEnumInputFieldValue>;
 
@@ -822,10 +822,10 @@ export type ControlPolymorphicInputFieldTemplate = Omit<
 };
 
 export type EnumInputFieldTemplate = InputFieldTemplateBase & {
-  default: string | number;
+  default: string;
   type: 'enum';
-  enumType: 'string' | 'number';
-  options: Array<string | number>;
+  options: string[];
+  labels?: { [key: string]: string };
 };
 
 export type MainModelInputFieldTemplate = InputFieldTemplateBase & {
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index 20463f37f6..c5e6be75c0 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -656,8 +656,8 @@ const buildEnumInputFieldTemplate = ({
   const template: EnumInputFieldTemplate = {
     ...baseField,
     type: 'enum',
-    enumType: (schemaObject.type as 'string' | 'number') ?? 'string', // TODO: dangerous?
-    options: options,
+    options,
+    ui_choice_labels: schemaObject.ui_choice_labels,
     default: schemaObject.default ?? options[0],
   };
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
index a3046feee7..3052d4e230 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
@@ -1,8 +1,7 @@
 import { InputFieldTemplate, InputFieldValue } from '../types/types';
 
 const FIELD_VALUE_FALLBACK_MAP = {
-  'enum.number': 0,
-  'enum.string': '',
+  enum: '',
   boolean: false,
   BooleanCollection: [],
   BooleanPolymorphic: false,
@@ -62,19 +61,8 @@ export const buildInputFieldValue = (
     fieldKind: 'input',
   } as InputFieldValue;
 
-  if (template.type === 'enum') {
-    if (template.enumType === 'number') {
-      fieldValue.value =
-        template.default ?? FIELD_VALUE_FALLBACK_MAP['enum.number'];
-    }
-    if (template.enumType === 'string') {
-      fieldValue.value =
-        template.default ?? FIELD_VALUE_FALLBACK_MAP['enum.string'];
-    }
-  } else {
-    fieldValue.value =
-      template.default ?? FIELD_VALUE_FALLBACK_MAP[template.type];
-  }
+  fieldValue.value =
+    template.default ?? FIELD_VALUE_FALLBACK_MAP[template.type];
 
   return fieldValue;
 };
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index f4b87e15da..dfa292c643 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1553,7 +1553,7 @@ export type components = {
       /**
        * App Version
        * @description The version of InvokeAI used to generate this image
-       * @default 3.1.0
+       * @default 3.1.1rc1
        */
       app_version?: string;
       /**
@@ -2216,6 +2216,53 @@ export type components = {
        */
       type: "float_range";
     };
+    /**
+     * Float Math
+     * @description Performs floating point math.
+     */
+    FloatMathInvocation: {
+      /**
+       * Id
+       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+       */
+      id: string;
+      /**
+       * Is Intermediate
+       * @description Whether or not this is an intermediate invocation.
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Workflow
+       * @description The workflow to save with the image
+       */
+      workflow?: string;
+      /**
+       * Operation
+       * @description The operation to perform
+       * @default ADD
+       * @enum {string}
+       */
+      operation?: "ADD" | "SUB" | "MUL" | "DIV" | "EXP" | "ABS" | "SQRT" | "MIN" | "MAX";
+      /**
+       * A
+       * @description The first number
+       * @default 0
+       */
+      a?: number;
+      /**
+       * B
+       * @description The second number
+       * @default 0
+       */
+      b?: number;
+      /**
+       * Type
+       * @default float_math
+       * @enum {string}
+       */
+      type: "float_math";
+    };
     /**
      * FloatOutput
      * @description Base class for nodes that output a single float
@@ -2233,6 +2280,53 @@ export type components = {
        */
       type: "float_output";
     };
+    /**
+     * Float To Integer
+     * @description Rounds a float number to (a multiple of) an integer.
+     */
+    FloatToIntegerInvocation: {
+      /**
+       * Id
+       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+       */
+      id: string;
+      /**
+       * Is Intermediate
+       * @description Whether or not this is an intermediate invocation.
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Workflow
+       * @description The workflow to save with the image
+       */
+      workflow?: string;
+      /**
+       * Value
+       * @description The value to round
+       * @default 0
+       */
+      value?: number;
+      /**
+       * Multiple of
+       * @description The multiple to round to
+       * @default 1
+       */
+      multiple?: number;
+      /**
+       * Method
+       * @description The method to use for rounding
+       * @default Nearest
+       * @enum {string}
+       */
+      method?: "Nearest" | "Floor" | "Ceiling" | "Truncate";
+      /**
+       * Type
+       * @default float_to_int
+       * @enum {string}
+       */
+      type: "float_to_int";
+    };
     /** Graph */
     Graph: {
       /**
@@ -2245,7 +2339,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
       /**
        * Edges
@@ -2288,7 +2382,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
+        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
       };
       /**
        * Errors
@@ -3684,6 +3778,53 @@ export type components = {
        */
       type: "integer";
     };
+    /**
+     * Integer Math
+     * @description Performs integer math.
+     */
+    IntegerMathInvocation: {
+      /**
+       * Id
+       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+       */
+      id: string;
+      /**
+       * Is Intermediate
+       * @description Whether or not this is an intermediate invocation.
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Workflow
+       * @description The workflow to save with the image
+       */
+      workflow?: string;
+      /**
+       * Operation
+       * @description The operation to perform
+       * @default ADD
+       * @enum {string}
+       */
+      operation?: "ADD" | "SUB" | "MUL" | "DIV" | "EXP" | "MOD" | "ABS" | "MIN" | "MAX";
+      /**
+       * A
+       * @description The first number
+       * @default 0
+       */
+      a?: number;
+      /**
+       * B
+       * @description The second number
+       * @default 0
+       */
+      b?: number;
+      /**
+       * Type
+       * @default integer_math
+       * @enum {string}
+       */
+      type: "integer_math";
+    };
     /**
      * IntegerOutput
      * @description Base class for nodes that output a single integer
@@ -5805,6 +5946,46 @@ export type components = {
      * @enum {string}
      */
     ResourceOrigin: "internal" | "external";
+    /**
+     * Round Float
+     * @description Rounds a float to a specified number of decimal places.
+     */
+    RoundInvocation: {
+      /**
+       * Id
+       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+       */
+      id: string;
+      /**
+       * Is Intermediate
+       * @description Whether or not this is an intermediate invocation.
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Workflow
+       * @description The workflow to save with the image
+       */
+      workflow?: string;
+      /**
+       * Value
+       * @description The float value
+       * @default 0
+       */
+      value?: number;
+      /**
+       * Decimals
+       * @description The number of decimal places
+       * @default 0
+       */
+      decimals?: number;
+      /**
+       * Type
+       * @default round_float
+       * @enum {string}
+       */
+      type: "round_float";
+    };
     /**
      * SDXL Prompt
      * @description Parse prompt using compel package to conditioning.
@@ -7088,6 +7269,10 @@ export type components = {
       ui_component?: components["schemas"]["UIComponent"];
       /** Ui Order */
       ui_order?: number;
+      /** Ui Choice Labels */
+      ui_choice_labels?: {
+        [key: string]: string;
+      };
       /** Item Default */
       item_default?: unknown;
     };
@@ -7106,11 +7291,11 @@ export type components = {
       ui_order?: number;
     };
     /**
-     * StableDiffusionXLModelFormat
+     * StableDiffusion1ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
@@ -7123,18 +7308,18 @@ export type components = {
      * @enum {string}
      */
     ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionXLModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion2ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusion1ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -7251,7 +7436,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -7292,7 +7477,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {

From fb188ce63e523279e679c1e1334c06cba8ef65d6 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 13 Sep 2023 16:24:46 +1000
Subject: [PATCH 109/265] feat(nodes): update `float_math` and `integer_math`
 to use new `ui_choice_labels`

---
 invokeai/app/invocations/math.py | 117 +++++++++++++++++++------------
 1 file changed, 74 insertions(+), 43 deletions(-)

diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index 0a45ed72d4..ddff9fb7c0 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -103,18 +103,31 @@ class RoundInvocation(BaseInvocation):
 
 
 INTEGER_OPERATIONS = Literal[
-    "Add A+B",
-    "Subtract A-B",
-    "Multiply A*B",
-    "Divide A/B",
-    "Exponentiate A^B",
-    "Modulus A%B",
-    "Absolute Value of A",
-    "Minimum(A,B)",
-    "Maximum(A,B)",
+    "ADD",
+    "SUB",
+    "MUL",
+    "DIV",
+    "EXP",
+    "MOD",
+    "ABS",
+    "MIN",
+    "MAX",
 ]
 
 
+INTEGER_OPERATIONS_LABELS = dict(
+    ADD="Add A+B",
+    SUB="Subtract A-B",
+    MUL="Multiply A*B",
+    DIV="Divide A/B",
+    EXP="Exponentiate A^B",
+    MOD="Modulus A%B",
+    ABS="Absolute Value of A",
+    MIN="Minimum(A,B)",
+    MAX="Maximum(A,B)",
+)
+
+
 @invocation(
     "integer_math",
     title="Integer Math",
@@ -137,54 +150,70 @@ INTEGER_OPERATIONS = Literal[
 class IntegerMathInvocation(BaseInvocation):
     """Performs integer math."""
 
-    operation: INTEGER_OPERATIONS = InputField(default="Add A+B", description="The operation to perform")
+    operation: INTEGER_OPERATIONS = InputField(
+        default="ADD", description="The operation to perform", ui_choice_labels=INTEGER_OPERATIONS_LABELS
+    )
     a: int = InputField(default=0, description=FieldDescriptions.num_1)
     b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
     @validator("b")
     def no_unrepresentable_results(cls, v, values):
-        if values["operation"] == "Divide A/B" and v == 0:
+        if values["operation"] == "DIV" and v == 0:
             raise ValueError("Cannot divide by zero")
-        elif values["operation"] == "Modulus A%B" and v == 0:
+        elif values["operation"] == "MOD" and v == 0:
             raise ValueError("Cannot divide by zero")
-        elif values["operation"] == "Exponentiate A^B" and v < 0:
+        elif values["operation"] == "EXP" and v < 0:
             raise ValueError("Result of exponentiation is not an integer")
         return v
 
     def invoke(self, context: InvocationContext) -> IntegerOutput:
         # Python doesn't support switch statements until 3.10, but InvokeAI supports back to 3.9
-        if self.operation == "Add A+B":
+        if self.operation == "ADD":
             return IntegerOutput(value=self.a + self.b)
-        elif self.operation == "Subtract A-B":
+        elif self.operation == "SUB":
             return IntegerOutput(value=self.a - self.b)
-        elif self.operation == "Multiply A*B":
+        elif self.operation == "MUL":
             return IntegerOutput(value=self.a * self.b)
-        elif self.operation == "Divide A/B":
+        elif self.operation == "DIV":
             return IntegerOutput(value=int(self.a / self.b))
-        elif self.operation == "Exponentiate A^B":
+        elif self.operation == "EXP":
             return IntegerOutput(value=self.a**self.b)
-        elif self.operation == "Modulus A%B":
+        elif self.operation == "MOD":
             return IntegerOutput(value=self.a % self.b)
-        elif self.operation == "Absolute Value of A":
+        elif self.operation == "ABS":
             return IntegerOutput(value=abs(self.a))
-        elif self.operation == "Minimum(A,B)":
+        elif self.operation == "MIN":
             return IntegerOutput(value=min(self.a, self.b))
-        else:  # self.operation == "Maximum(A,B)":
+        else:  # self.operation == "MAX":
             return IntegerOutput(value=max(self.a, self.b))
 
 
 FLOAT_OPERATIONS = Literal[
-    "Add A+B",
-    "Subtract A-B",
-    "Multiply A*B",
-    "Divide A/B",
-    "Exponentiate A^B",
-    "Absolute Value of A",
-    "Minimum(A,B)",
-    "Maximum(A,B)",
+    "ADD",
+    "SUB",
+    "MUL",
+    "DIV",
+    "EXP",
+    "ABS",
+    "SQRT",
+    "MIN",
+    "MAX",
 ]
 
 
+FLOAT_OPERATIONS_LABELS = dict(
+    ADD="Add A+B",
+    SUB="Subtract A-B",
+    MUL="Multiply A*B",
+    DIV="Divide A/B",
+    EXP="Exponentiate A^B",
+    ABS="Absolute Value of A",
+    SQRT="Square Root of A",
+    MIN="Minimum(A,B)",
+    MAX="Maximum(A,B)",
+)
+
+
 @invocation(
     "float_math",
     title="Float Math",
@@ -195,37 +224,39 @@ FLOAT_OPERATIONS = Literal[
 class FloatMathInvocation(BaseInvocation):
     """Performs floating point math."""
 
-    operation: FLOAT_OPERATIONS = InputField(default="Add A+B", description="The operation to perform")
+    operation: FLOAT_OPERATIONS = InputField(
+        default="ADD", description="The operation to perform", ui_choice_labels=FLOAT_OPERATIONS_LABELS
+    )
     a: float = InputField(default=0, description=FieldDescriptions.num_1)
     b: float = InputField(default=0, description=FieldDescriptions.num_2)
 
     @validator("b")
     def no_unrepresentable_results(cls, v, values):
-        if values["operation"] == "Divide A/B" and v == 0:
+        if values["operation"] == "DIV" and v == 0:
             raise ValueError("Cannot divide by zero")
-        elif values["operation"] == "Exponentiate A^B" and values["a"] == 0 and v < 0:
+        elif values["operation"] == "EXP" and values["a"] == 0 and v < 0:
             raise ValueError("Cannot raise zero to a negative power")
-        elif values["operation"] == "Exponentiate A^B" and type(values["a"] ** v) == complex:
+        elif values["operation"] == "EXP" and type(values["a"] ** v) == complex:
             raise ValueError("Root operation resulted in a complex number")
         return v
 
     def invoke(self, context: InvocationContext) -> FloatOutput:
         # Python doesn't support switch statements until 3.10, but InvokeAI supports back to 3.9
-        if self.operation == "Add A+B":
+        if self.operation == "ADD":
             return FloatOutput(value=self.a + self.b)
-        elif self.operation == "Subtract A-B":
+        elif self.operation == "SUB":
             return FloatOutput(value=self.a - self.b)
-        elif self.operation == "Multiply A*B":
+        elif self.operation == "MUL":
             return FloatOutput(value=self.a * self.b)
-        elif self.operation == "Divide A/B":
+        elif self.operation == "DIV":
             return FloatOutput(value=self.a / self.b)
-        elif self.operation == "Exponentiate A^B":
+        elif self.operation == "EXP":
             return FloatOutput(value=self.a**self.b)
-        elif self.operation == "Square Root of A":
+        elif self.operation == "SQRT":
             return FloatOutput(value=np.sqrt(self.a))
-        elif self.operation == "Absolute Value of A":
+        elif self.operation == "ABS":
             return FloatOutput(value=abs(self.a))
-        elif self.operation == "Minimum(A,B)":
+        elif self.operation == "MIN":
             return FloatOutput(value=min(self.a, self.b))
-        else:  # self.operation == "Maximum(A,B)":
+        else:  # self.operation == "MAX":
             return FloatOutput(value=max(self.a, self.b))

From a88f16b81cde422e97664a5b184f8d172c1795ad Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 13 Sep 2023 16:27:35 +1000
Subject: [PATCH 110/265] chore: isort

---
 invokeai/app/invocations/math.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index ddff9fb7c0..2047ca2bca 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -1,11 +1,12 @@
 # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
 
-import numpy as np
 from typing import Literal
 
-from invokeai.app.invocations.primitives import IntegerOutput, FloatOutput
+import numpy as np
 from pydantic import validator
 
+from invokeai.app.invocations.primitives import FloatOutput, IntegerOutput
+
 from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, invocation
 
 

From 30792cb259e0a5be1958f3187dbbc8286ddfd290 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 13 Sep 2023 16:29:16 +1000
Subject: [PATCH 111/265] chore: flake8

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

diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index 2047ca2bca..ac15146478 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -237,7 +237,7 @@ class FloatMathInvocation(BaseInvocation):
             raise ValueError("Cannot divide by zero")
         elif values["operation"] == "EXP" and values["a"] == 0 and v < 0:
             raise ValueError("Cannot raise zero to a negative power")
-        elif values["operation"] == "EXP" and type(values["a"] ** v) == complex:
+        elif values["operation"] == "EXP" and type(values["a"] ** v) is complex:
             raise ValueError("Root operation resulted in a complex number")
         return v
 

From 8c63173b0c359977b2b9d22b6ebd520d7eecb7b7 Mon Sep 17 00:00:00 2001
From: mickr777 <115216705+mickr777@users.noreply.github.com>
Date: Wed, 13 Sep 2023 17:31:34 +1000
Subject: [PATCH 112/265] Translation update (#4503)

* Update Translations

* Fix Prettier Issue

* Fix Error in invokebutton.tsx

* More Translations

* few Fixes

* More Translations

* More Translations and lint Fixes

* Update constants.ts

Revert "Update constants.ts"

---------

Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
---
 invokeai/frontend/web/public/locales/en.json  | 1441 ++++++++++-------
 .../src/common/hooks/useIsReadyToInvoke.ts    |   32 +-
 .../components/ChangeBoardModal.tsx           |   16 +-
 .../controlNet/components/ControlNet.tsx      |   26 +-
 .../components/ControlNetImagePreview.tsx     |    8 +-
 .../ParamControlNetShouldAutoConfig.tsx       |    6 +-
 .../imports/ControlNetCanvasImageImports.tsx  |   10 +-
 .../parameters/ParamControlNetBeginEnd.tsx    |    6 +-
 .../parameters/ParamControlNetControlMode.tsx |   18 +-
 .../parameters/ParamControlNetModel.tsx       |    8 +-
 .../ParamControlNetProcessorSelect.tsx        |    4 +-
 .../parameters/ParamControlNetResizeMode.tsx  |   16 +-
 .../parameters/ParamControlNetWeight.tsx      |    4 +-
 .../components/processors/CannyProcessor.tsx  |    6 +-
 .../processors/ContentShuffleProcessor.tsx    |   12 +-
 .../components/processors/HedProcessor.tsx    |    8 +-
 .../processors/LineartAnimeProcessor.tsx      |    6 +-
 .../processors/LineartProcessor.tsx           |    8 +-
 .../processors/MediapipeFaceProcessor.tsx     |    6 +-
 .../processors/MidasDepthProcessor.tsx        |    6 +-
 .../processors/MlsdImageProcessor.tsx         |   10 +-
 .../processors/NormalBaeProcessor.tsx         |    6 +-
 .../processors/OpenposeProcessor.tsx          |    8 +-
 .../components/processors/PidiProcessor.tsx   |   10 +-
 .../features/controlNet/store/constants.ts    |  108 +-
 .../components/ImageUsageMessage.tsx          |   23 +-
 .../ParamDynamicPromptsCollapse.tsx           |    4 +-
 .../ParamDynamicPromptsCombinatorial.tsx      |    4 +-
 .../components/ParamDynamicPromptsEnabled.tsx |    4 +-
 .../ParamDynamicPromptsMaxPrompts.tsx         |    4 +-
 .../components/AddEmbeddingButton.tsx         |    6 +-
 .../components/ParamEmbeddingPopover.tsx      |   10 +-
 .../components/Boards/BoardAutoAddSelect.tsx  |    8 +-
 .../components/Boards/BoardContextMenu.tsx    |    5 +-
 .../Boards/BoardsList/AddBoardButton.tsx      |   12 +-
 .../Boards/BoardsList/BoardsSearch.tsx        |    6 +-
 .../components/Boards/DeleteBoardModal.tsx    |    4 +-
 .../CurrentImage/CurrentImagePreview.tsx      |    5 +-
 .../components/ImageGrid/GalleryImage.tsx     |    4 +-
 .../components/ImageGrid/GalleryImageGrid.tsx |    6 +-
 .../ImageMetadataViewer/DataViewer.tsx        |   11 +-
 .../ImageMetadataActions.tsx                  |   44 +-
 .../ImageMetadataViewer.tsx                   |   20 +-
 .../features/nodes/components/NodeEditor.tsx  |    4 +-
 .../flow/AddNodePopover/AddNodePopover.tsx    |   81 +-
 .../nodes/Invocation/InvocationNodeNotes.tsx  |   27 +-
 .../InvocationNodeStatusIndicator.tsx         |   15 +-
 .../flow/nodes/Invocation/NotesTextarea.tsx   |    4 +-
 .../Invocation/fields/EditableFieldTitle.tsx  |   12 +-
 .../Invocation/fields/FieldContextMenu.tsx    |    6 +-
 .../Invocation/fields/FieldTooltipContent.tsx |    8 +-
 .../Invocation/fields/LinearViewField.tsx     |    7 +-
 .../fields/inputs/LoRAModelInputField.tsx     |    8 +-
 .../fields/inputs/MainModelInputField.tsx     |    7 +-
 .../fields/inputs/RefinerModelInputField.tsx  |    8 +-
 .../fields/inputs/SDXLMainModelInputField.tsx |    8 +-
 .../flow/nodes/common/NodeTitle.tsx           |   12 +-
 .../BottomLeftPanel/NodeOpacitySlider.tsx     |    4 +-
 .../flow/panels/TopLeftPanel/TopLeftPanel.tsx |    7 +-
 .../TopRightPanel/WorkflowEditorSettings.tsx  |   29 +-
 .../inspector/InspectorDetailsTab.tsx         |    6 +-
 .../inspector/InspectorOutputsTab.tsx         |   12 +-
 .../inspector/InspectorTemplateTab.tsx        |    8 +-
 .../sidePanel/workflow/WorkflowGeneralTab.tsx |   25 +-
 .../sidePanel/workflow/WorkflowJSONTab.tsx    |    4 +-
 .../sidePanel/workflow/WorkflowLinearTab.tsx  |    4 +-
 .../nodes/hooks/useLoadWorkflowFromFile.tsx   |   10 +-
 .../util/makeIsConnectionValidSelector.ts     |   24 +-
 .../Advanced/ParamAdvancedCollapse.tsx        |    5 +-
 .../Parameters/Noise/ParamCpuNoise.tsx        |    4 +-
 .../Parameters/Noise/ParamNoiseToggle.tsx     |    4 +-
 .../ProcessButtons/CancelButton.tsx           |    2 +-
 .../ProcessButtons/InvokeButton.tsx           |   13 +-
 .../sdxl/components/ParamSDXLConcatButton.tsx |    6 +-
 .../ParamSDXLImg2ImgDenoisingStrength.tsx     |    2 +-
 .../ParamSDXLNegativeStyleConditioning.tsx    |    4 +-
 .../ParamSDXLPositiveStyleConditioning.tsx    |    4 +-
 .../components/ParamSDXLRefinerCollapse.tsx   |    4 +-
 .../SDXLRefiner/ParamSDXLRefinerCFGScale.tsx  |    4 +-
 .../ParamSDXLRefinerModelSelect.tsx           |   12 +-
 ...ParamSDXLRefinerNegativeAestheticScore.tsx |    4 +-
 ...ParamSDXLRefinerPositiveAestheticScore.tsx |    4 +-
 .../SDXLRefiner/ParamSDXLRefinerScheduler.tsx |    2 +-
 .../SDXLRefiner/ParamSDXLRefinerStart.tsx     |    4 +-
 .../SDXLRefiner/ParamSDXLRefinerSteps.tsx     |    4 +-
 .../SDXLRefiner/ParamUseSDXLRefiner.tsx       |    4 +-
 .../AddModelsPanel/AdvancedAddCheckpoint.tsx  |   20 +-
 .../AddModelsPanel/AdvancedAddDiffusers.tsx   |   18 +-
 .../AddModelsPanel/AdvancedAddModels.tsx      |    5 +-
 .../AddModelsPanel/FoundModelsList.tsx        |   10 +-
 .../AddModelsPanel/ScanAdvancedAddModels.tsx  |    7 +-
 .../AddModelsPanel/SimpleAddModels.tsx        |    8 +-
 92 files changed, 1502 insertions(+), 961 deletions(-)

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 125554fc40..c1983c6a53 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -1,40 +1,66 @@
 {
     "accessibility": {
-        "modelSelect": "Model Select",
-        "invokeProgressBar": "Invoke progress bar",
-        "reset": "Reset",
-        "uploadImage": "Upload Image",
-        "previousImage": "Previous Image",
-        "nextImage": "Next Image",
-        "useThisParameter": "Use this parameter",
         "copyMetadataJson": "Copy metadata JSON",
         "exitViewer": "Exit Viewer",
-        "zoomIn": "Zoom In",
-        "zoomOut": "Zoom Out",
-        "rotateCounterClockwise": "Rotate Counter-Clockwise",
-        "rotateClockwise": "Rotate Clockwise",
         "flipHorizontally": "Flip Horizontally",
         "flipVertically": "Flip Vertically",
+        "invokeProgressBar": "Invoke progress bar",
+        "menu": "Menu",
+        "modelSelect": "Model Select",
         "modifyConfig": "Modify Config",
-        "toggleAutoscroll": "Toggle autoscroll",
-        "toggleLogViewer": "Toggle Log Viewer",
+        "nextImage": "Next Image",
+        "previousImage": "Previous Image",
+        "reset": "Reset",
+        "rotateClockwise": "Rotate Clockwise",
+        "rotateCounterClockwise": "Rotate Counter-Clockwise",
         "showGallery": "Show Gallery",
         "showOptionsPanel": "Show Side Panel",
-        "menu": "Menu"
+        "toggleAutoscroll": "Toggle autoscroll",
+        "toggleLogViewer": "Toggle Log Viewer",
+        "uploadImage": "Upload Image",
+        "useThisParameter": "Use this parameter",
+        "zoomIn": "Zoom In",
+        "zoomOut": "Zoom Out"
+    },
+    "boards": {
+        "addBoard": "Add Board",
+        "autoAddBoard": "Auto-Add Board",
+        "bottomMessage": "Deleting this board and its images will reset any features currently using them.",
+        "cancel": "Cancel",
+        "changeBoard": "Change Board",
+        "clearSearch": "Clear Search",
+        "loading": "Loading...",
+        "menuItemAutoAdd": "Auto-add to this Board",
+        "move": "Move",
+        "myBoard": "My Board",
+        "noMatching": "No matching Boards",
+        "searchBoard": "Search Boards...",
+        "selectBoard": "Select a Board",
+        "topMessage": "This board contains images used in the following features:",
+        "uncategorized": "Uncategorized"
     },
     "common": {
+        "accept": "Accept",
+        "advanced": "Advanced",
+        "areYouSure": "Are you sure?",
+        "back": "Back",
+        "batch": "Batch Manager",
+        "cancel": "Cancel",
+        "close": "Close",
         "communityLabel": "Community",
-        "hotkeysLabel": "Hotkeys",
+        "controlNet": "Controlnet",
         "darkMode": "Dark Mode",
-        "lightMode": "Light Mode",
-        "languagePickerLabel": "Language",
-        "reportBugLabel": "Report Bug",
-        "githubLabel": "Github",
         "discordLabel": "Discord",
-        "settingsLabel": "Settings",
+        "dontAskMeAgain": "Don't ask me again",
+        "generate": "Generate",
+        "githubLabel": "Github",
+        "hotkeysLabel": "Hotkeys",
+        "imagePrompt": "Image Prompt",
+        "img2img": "Image To Image",
         "langArabic": "العربية",
-        "langEnglish": "English",
+        "langBrPortuguese": "Português do Brasil",
         "langDutch": "Nederlands",
+        "langEnglish": "English",
         "langFrench": "Français",
         "langGerman": "Deutsch",
         "langHebrew": "עברית",
@@ -43,377 +69,426 @@
         "langKorean": "한국어",
         "langPolish": "Polski",
         "langPortuguese": "Português",
-        "langBrPortuguese": "Português do Brasil",
         "langRussian": "Русский",
         "langSimplifiedChinese": "简体中文",
-        "langUkranian": "Украї́нська",
         "langSpanish": "Español",
-        "txt2img": "Text To Image",
-        "img2img": "Image To Image",
-        "unifiedCanvas": "Unified Canvas",
+        "languagePickerLabel": "Language",
+        "langUkranian": "Украї́нська",
+        "lightMode": "Light Mode",
         "linear": "Linear",
-        "nodes": "Workflow Editor",
-        "batch": "Batch Manager",
+        "load": "Load",
+        "loading": "Loading",
+        "loadingInvokeAI": "Loading Invoke AI",
         "modelManager": "Model Manager",
-        "postprocessing": "Post Processing",
+        "nodeEditor": "Node Editor",
+        "nodes": "Workflow Editor",
         "nodesDesc": "A node based system for the generation of images is under development currently. Stay tuned for updates about this amazing feature.",
-        "postProcessing": "Post Processing",
+        "openInNewTab": "Open in New Tab",
         "postProcessDesc1": "Invoke AI offers a wide variety of post processing features. Image Upscaling and Face Restoration are already available in the WebUI. You can access them from the Advanced Options menu of the Text To Image and Image To Image tabs. You can also process images directly, using the image action buttons above the current image display or in the viewer.",
         "postProcessDesc2": "A dedicated UI will be released soon to facilitate more advanced post processing workflows.",
         "postProcessDesc3": "The Invoke AI Command Line Interface offers various other features including Embiggen.",
-        "training": "Training",
-        "trainingDesc1": "A dedicated workflow for training your own embeddings and checkpoints using Textual Inversion and Dreambooth from the web interface.",
-        "trainingDesc2": "InvokeAI already supports training custom embeddourings using Textual Inversion using the main script.",
-        "upload": "Upload",
-        "close": "Close",
-        "cancel": "Cancel",
-        "accept": "Accept",
-        "load": "Load",
-        "back": "Back",
+        "postprocessing": "Post Processing",
+        "postProcessing": "Post Processing",
+        "random": "Random",
+        "reportBugLabel": "Report Bug",
+        "settingsLabel": "Settings",
         "statusConnected": "Connected",
+        "statusConvertingModel": "Converting Model",
         "statusDisconnected": "Disconnected",
         "statusError": "Error",
-        "statusPreparing": "Preparing",
-        "statusProcessingCanceled": "Processing Canceled",
-        "statusProcessingComplete": "Processing Complete",
         "statusGenerating": "Generating",
-        "statusGeneratingTextToImage": "Generating Text To Image",
         "statusGeneratingImageToImage": "Generating Image To Image",
         "statusGeneratingInpainting": "Generating Inpainting",
         "statusGeneratingOutpainting": "Generating Outpainting",
+        "statusGeneratingTextToImage": "Generating Text To Image",
         "statusGenerationComplete": "Generation Complete",
         "statusIterationComplete": "Iteration Complete",
-        "statusSavingImage": "Saving Image",
+        "statusLoadingModel": "Loading Model",
+        "statusMergedModels": "Models Merged",
+        "statusMergingModels": "Merging Models",
+        "statusModelChanged": "Model Changed",
+        "statusModelConverted": "Model Converted",
+        "statusPreparing": "Preparing",
+        "statusProcessingCanceled": "Processing Canceled",
+        "statusProcessingComplete": "Processing Complete",
         "statusRestoringFaces": "Restoring Faces",
-        "statusRestoringFacesGFPGAN": "Restoring Faces (GFPGAN)",
         "statusRestoringFacesCodeFormer": "Restoring Faces (CodeFormer)",
+        "statusRestoringFacesGFPGAN": "Restoring Faces (GFPGAN)",
+        "statusSavingImage": "Saving Image",
         "statusUpscaling": "Upscaling",
         "statusUpscalingESRGAN": "Upscaling (ESRGAN)",
-        "statusLoadingModel": "Loading Model",
-        "statusModelChanged": "Model Changed",
-        "statusConvertingModel": "Converting Model",
-        "statusModelConverted": "Model Converted",
-        "statusMergingModels": "Merging Models",
-        "statusMergedModels": "Models Merged",
-        "loading": "Loading",
-        "loadingInvokeAI": "Loading Invoke AI",
-        "random": "Random",
-        "generate": "Generate",
-        "openInNewTab": "Open in New Tab",
-        "dontAskMeAgain": "Don't ask me again",
-        "areYouSure": "Are you sure?",
-        "imagePrompt": "Image Prompt"
+        "training": "Training",
+        "trainingDesc1": "A dedicated workflow for training your own embeddings and checkpoints using Textual Inversion and Dreambooth from the web interface.",
+        "trainingDesc2": "InvokeAI already supports training custom embeddourings using Textual Inversion using the main script.",
+        "txt2img": "Text To Image",
+        "unifiedCanvas": "Unified Canvas",
+        "upload": "Upload"
+    },
+    "controlnet": {
+        "amult": "a_mult",
+        "autoConfigure": "Auto configure processor",
+        "balanced": "Balanced",
+        "beginEndStepPercent": "Begin / End Step Percentage",
+        "bgth": "bg_th",
+        "canny": "Canny",
+        "cannyDescription": "Canny edge detection",
+        "coarse": "Coarse",
+        "contentShuffle": "Content Shuffle",
+        "contentShuffleDescription": "Shuffles the content in an image",
+        "control": "Control",
+        "controlMode": "Control Mode",
+        "crop": "Crop",
+        "delete": "Delete",
+        "depthMidas": "Depth (Midas)",
+        "depthMidasDescription": "Depth map generation using Midas",
+        "depthZoe": "Depth (Zoe)",
+        "depthZoeDescription": "Depth map generation using Zoe",
+        "detectResolution": "Detect Resolution",
+        "duplicate": "Duplicate",
+        "enableControlnet": "Enable ControlNet",
+        "f": "F",
+        "fill": "Fill",
+        "h": "H",
+        "handAndFace": "Hand and Face",
+        "hed": "HED",
+        "hedDescription": "Holistically-Nested Edge Detection",
+        "hideAdvanced": "Hide Advanced",
+        "highThreshold": "High Threshold",
+        "imageResolution": "Image Resolution",
+        "importImageFromCanvas": "Import Image From Canvas",
+        "importMaskFromCanvas": "Import Mask From Canvas",
+        "incompatibleBaseModel": "Incompatible base model:",
+        "lineart": "Lineart",
+        "lineartAnime": "Lineart Anime",
+        "lineartAnimeDescription": "Anime-style lineart processing",
+        "lineartDescription": "Converts image to lineart",
+        "lowThreshold": "Low Threshold",
+        "maxFaces": "Max Faces",
+        "mediapipeFace": "Mediapipe Face",
+        "mediapipeFaceDescription": "Face detection using Mediapipe",
+        "megaControl": "Mega Control",
+        "minConfidence": "Min Confidence",
+        "mlsd": "M-LSD",
+        "mlsdDescription": "Minimalist Line Segment Detector",
+        "none": "None",
+        "noneDescription": "No processing applied",
+        "normalBae": "Normal BAE",
+        "normalBaeDescription": "Normal BAE processing",
+        "openPose": "Openpose",
+        "openPoseDescription": "Human pose estimation using Openpose",
+        "pidi": "PIDI",
+        "pidiDescription": "PIDI image processing",
+        "processor": "Processor",
+        "prompt": "Prompt",
+        "resetControlImage": "Reset Control Image",
+        "resize": "Resize",
+        "resizeMode": "Resize Mode",
+        "safe": "Safe",
+        "saveControlImage": "Save Control Image",
+        "scribble": "scribble",
+        "selectModel": "Select a model",
+        "setControlImageDimensions": "Set Control Image Dimensions To W/H",
+        "showAdvanced": "Show Advanced",
+        "toggleControlNet": "Toggle this ControlNet",
+        "w": "W",
+        "weight": "Weight"
+    },
+    "embedding": {
+        "addEmbedding": "Add Embedding",
+        "incompatibleModel": "Incompatible base model:",
+        "noMatchingEmbedding": "No matching Embeddings"
     },
     "gallery": {
-        "generations": "Generations",
-        "showGenerations": "Show Generations",
-        "uploads": "Uploads",
-        "showUploads": "Show Uploads",
-        "galleryImageSize": "Image Size",
-        "galleryImageResetSize": "Reset Size",
-        "gallerySettings": "Gallery Settings",
-        "maintainAspectRatio": "Maintain Aspect Ratio",
-        "autoSwitchNewImages": "Auto-Switch to New Images",
-        "singleColumnLayout": "Single Column Layout",
         "allImagesLoaded": "All Images Loaded",
-        "loadMore": "Load More",
-        "noImagesInGallery": "No Images to Display",
+        "assets": "Assets",
+        "autoAssignBoardOnClick": "Auto-Assign Board on Click",
+        "autoSwitchNewImages": "Auto-Switch to New Images",
+        "copy": "Copy",
+        "currentlyInUse": "This image is currently in use in the following features:",
         "deleteImage": "Delete Image",
         "deleteImageBin": "Deleted images will be sent to your operating system's Bin.",
         "deleteImagePermanent": "Deleted images cannot be restored.",
+        "download": "Download",
+        "featuresWillReset": "If you delete this image, those features will immediately be reset.",
+        "galleryImageResetSize": "Reset Size",
+        "galleryImageSize": "Image Size",
+        "gallerySettings": "Gallery Settings",
+        "generations": "Generations",
         "images": "Images",
-        "assets": "Assets",
-        "autoAssignBoardOnClick": "Auto-Assign Board on Click"
+        "loading": "Loading",
+        "loadMore": "Load More",
+        "maintainAspectRatio": "Maintain Aspect Ratio",
+        "noImagesInGallery": "No Images to Display",
+        "setCurrentImage": "Set as Current Image",
+        "showGenerations": "Show Generations",
+        "showUploads": "Show Uploads",
+        "singleColumnLayout": "Single Column Layout",
+        "unableToLoad": "Unable to load Gallery",
+        "uploads": "Uploads"
     },
     "hotkeys": {
-        "keyboardShortcuts": "Keyboard Shortcuts",
-        "appHotkeys": "App Hotkeys",
-        "generalHotkeys": "General Hotkeys",
-        "galleryHotkeys": "Gallery Hotkeys",
-        "unifiedCanvasHotkeys": "Unified Canvas Hotkeys",
-        "nodesHotkeys": "Nodes Hotkeys",
-        "invoke": {
-            "title": "Invoke",
-            "desc": "Generate an image"
-        },
-        "cancel": {
-            "title": "Cancel",
-            "desc": "Cancel image generation"
-        },
-        "focusPrompt": {
-            "title": "Focus Prompt",
-            "desc": "Focus the prompt input area"
-        },
-        "toggleOptions": {
-            "title": "Toggle Options",
-            "desc": "Open and close the options panel"
-        },
-        "pinOptions": {
-            "title": "Pin Options",
-            "desc": "Pin the options panel"
-        },
-        "toggleViewer": {
-            "title": "Toggle Viewer",
-            "desc": "Open and close Image Viewer"
-        },
-        "toggleGallery": {
-            "title": "Toggle Gallery",
-            "desc": "Open and close the gallery drawer"
-        },
-        "maximizeWorkSpace": {
-            "title": "Maximize Workspace",
-            "desc": "Close panels and maximize work area"
-        },
-        "changeTabs": {
-            "title": "Change Tabs",
-            "desc": "Switch to another workspace"
-        },
-        "consoleToggle": {
-            "title": "Console Toggle",
-            "desc": "Open and close console"
-        },
-        "setPrompt": {
-            "title": "Set Prompt",
-            "desc": "Use the prompt of the current image"
-        },
-        "setSeed": {
-            "title": "Set Seed",
-            "desc": "Use the seed of the current image"
-        },
-        "setParameters": {
-            "title": "Set Parameters",
-            "desc": "Use all parameters of the current image"
-        },
-        "restoreFaces": {
-            "title": "Restore Faces",
-            "desc": "Restore the current image"
-        },
-        "upscale": {
-            "title": "Upscale",
-            "desc": "Upscale the current image"
-        },
-        "showInfo": {
-            "title": "Show Info",
-            "desc": "Show metadata info of the current image"
-        },
-        "sendToImageToImage": {
-            "title": "Send To Image To Image",
-            "desc": "Send current image to Image to Image"
-        },
-        "deleteImage": {
-            "title": "Delete Image",
-            "desc": "Delete the current image"
-        },
-        "closePanels": {
-            "title": "Close Panels",
-            "desc": "Closes open panels"
-        },
-        "previousImage": {
-            "title": "Previous Image",
-            "desc": "Display the previous image in gallery"
-        },
-        "nextImage": {
-            "title": "Next Image",
-            "desc": "Display the next image in gallery"
-        },
-        "toggleGalleryPin": {
-            "title": "Toggle Gallery Pin",
-            "desc": "Pins and unpins the gallery to the UI"
-        },
-        "increaseGalleryThumbSize": {
-            "title": "Increase Gallery Image Size",
-            "desc": "Increases gallery thumbnails size"
-        },
-        "decreaseGalleryThumbSize": {
-            "title": "Decrease Gallery Image Size",
-            "desc": "Decreases gallery thumbnails size"
-        },
-        "selectBrush": {
-            "title": "Select Brush",
-            "desc": "Selects the canvas brush"
-        },
-        "selectEraser": {
-            "title": "Select Eraser",
-            "desc": "Selects the canvas eraser"
-        },
-        "decreaseBrushSize": {
-            "title": "Decrease Brush Size",
-            "desc": "Decreases the size of the canvas brush/eraser"
-        },
-        "increaseBrushSize": {
-            "title": "Increase Brush Size",
-            "desc": "Increases the size of the canvas brush/eraser"
-        },
-        "decreaseBrushOpacity": {
-            "title": "Decrease Brush Opacity",
-            "desc": "Decreases the opacity of the canvas brush"
-        },
-        "increaseBrushOpacity": {
-            "title": "Increase Brush Opacity",
-            "desc": "Increases the opacity of the canvas brush"
-        },
-        "moveTool": {
-            "title": "Move Tool",
-            "desc": "Allows canvas navigation"
-        },
-        "fillBoundingBox": {
-            "title": "Fill Bounding Box",
-            "desc": "Fills the bounding box with brush color"
-        },
-        "eraseBoundingBox": {
-            "title": "Erase Bounding Box",
-            "desc": "Erases the bounding box area"
-        },
-        "colorPicker": {
-            "title": "Select Color Picker",
-            "desc": "Selects the canvas color picker"
-        },
-        "toggleSnap": {
-            "title": "Toggle Snap",
-            "desc": "Toggles Snap to Grid"
-        },
-        "quickToggleMove": {
-            "title": "Quick Toggle Move",
-            "desc": "Temporarily toggles Move mode"
-        },
-        "toggleLayer": {
-            "title": "Toggle Layer",
-            "desc": "Toggles mask/base layer selection"
-        },
-        "clearMask": {
-            "title": "Clear Mask",
-            "desc": "Clear the entire mask"
-        },
-        "hideMask": {
-            "title": "Hide Mask",
-            "desc": "Hide and unhide mask"
-        },
-        "showHideBoundingBox": {
-            "title": "Show/Hide Bounding Box",
-            "desc": "Toggle visibility of bounding box"
-        },
-        "mergeVisible": {
-            "title": "Merge Visible",
-            "desc": "Merge all visible layers of canvas"
-        },
-        "saveToGallery": {
-            "title": "Save To Gallery",
-            "desc": "Save current canvas to gallery"
-        },
-        "copyToClipboard": {
-            "title": "Copy to Clipboard",
-            "desc": "Copy current canvas to clipboard"
-        },
-        "downloadImage": {
-            "title": "Download Image",
-            "desc": "Download current canvas"
-        },
-        "undoStroke": {
-            "title": "Undo Stroke",
-            "desc": "Undo a brush stroke"
-        },
-        "redoStroke": {
-            "title": "Redo Stroke",
-            "desc": "Redo a brush stroke"
-        },
-        "resetView": {
-            "title": "Reset View",
-            "desc": "Reset Canvas View"
-        },
-        "previousStagingImage": {
-            "title": "Previous Staging Image",
-            "desc": "Previous Staging Area Image"
-        },
-        "nextStagingImage": {
-            "title": "Next Staging Image",
-            "desc": "Next Staging Area Image"
-        },
         "acceptStagingImage": {
-            "title": "Accept Staging Image",
-            "desc": "Accept Current Staging Area Image"
+            "desc": "Accept Current Staging Area Image",
+            "title": "Accept Staging Image"
         },
         "addNodes": {
-            "title": "Add Nodes",
-            "desc": "Opens the add node menu"
+            "desc": "Opens the add node menu",
+            "title": "Add Nodes"
+        },
+        "appHotkeys": "App Hotkeys",
+        "cancel": {
+            "desc": "Cancel image generation",
+            "title": "Cancel"
+        },
+        "changeTabs": {
+            "desc": "Switch to another workspace",
+            "title": "Change Tabs"
+        },
+        "clearMask": {
+            "desc": "Clear the entire mask",
+            "title": "Clear Mask"
+        },
+        "closePanels": {
+            "desc": "Closes open panels",
+            "title": "Close Panels"
+        },
+        "colorPicker": {
+            "desc": "Selects the canvas color picker",
+            "title": "Select Color Picker"
+        },
+        "consoleToggle": {
+            "desc": "Open and close console",
+            "title": "Console Toggle"
+        },
+        "copyToClipboard": {
+            "desc": "Copy current canvas to clipboard",
+            "title": "Copy to Clipboard"
+        },
+        "decreaseBrushOpacity": {
+            "desc": "Decreases the opacity of the canvas brush",
+            "title": "Decrease Brush Opacity"
+        },
+        "decreaseBrushSize": {
+            "desc": "Decreases the size of the canvas brush/eraser",
+            "title": "Decrease Brush Size"
+        },
+        "decreaseGalleryThumbSize": {
+            "desc": "Decreases gallery thumbnails size",
+            "title": "Decrease Gallery Image Size"
+        },
+        "deleteImage": {
+            "desc": "Delete the current image",
+            "title": "Delete Image"
+        },
+        "downloadImage": {
+            "desc": "Download current canvas",
+            "title": "Download Image"
+        },
+        "eraseBoundingBox": {
+            "desc": "Erases the bounding box area",
+            "title": "Erase Bounding Box"
+        },
+        "fillBoundingBox": {
+            "desc": "Fills the bounding box with brush color",
+            "title": "Fill Bounding Box"
+        },
+        "focusPrompt": {
+            "desc": "Focus the prompt input area",
+            "title": "Focus Prompt"
+        },
+        "galleryHotkeys": "Gallery Hotkeys",
+        "generalHotkeys": "General Hotkeys",
+        "hideMask": {
+            "desc": "Hide and unhide mask",
+            "title": "Hide Mask"
+        },
+        "increaseBrushOpacity": {
+            "desc": "Increases the opacity of the canvas brush",
+            "title": "Increase Brush Opacity"
+        },
+        "increaseBrushSize": {
+            "desc": "Increases the size of the canvas brush/eraser",
+            "title": "Increase Brush Size"
+        },
+        "increaseGalleryThumbSize": {
+            "desc": "Increases gallery thumbnails size",
+            "title": "Increase Gallery Image Size"
+        },
+        "invoke": {
+            "desc": "Generate an image",
+            "title": "Invoke"
+        },
+        "keyboardShortcuts": "Keyboard Shortcuts",
+        "maximizeWorkSpace": {
+            "desc": "Close panels and maximize work area",
+            "title": "Maximize Workspace"
+        },
+        "mergeVisible": {
+            "desc": "Merge all visible layers of canvas",
+            "title": "Merge Visible"
+        },
+        "moveTool": {
+            "desc": "Allows canvas navigation",
+            "title": "Move Tool"
+        },
+        "nextImage": {
+            "desc": "Display the next image in gallery",
+            "title": "Next Image"
+        },
+        "nextStagingImage": {
+            "desc": "Next Staging Area Image",
+            "title": "Next Staging Image"
+        },
+        "nodesHotkeys": "Nodes Hotkeys",
+        "pinOptions": {
+            "desc": "Pin the options panel",
+            "title": "Pin Options"
+        },
+        "previousImage": {
+            "desc": "Display the previous image in gallery",
+            "title": "Previous Image"
+        },
+        "previousStagingImage": {
+            "desc": "Previous Staging Area Image",
+            "title": "Previous Staging Image"
+        },
+        "quickToggleMove": {
+            "desc": "Temporarily toggles Move mode",
+            "title": "Quick Toggle Move"
+        },
+        "redoStroke": {
+            "desc": "Redo a brush stroke",
+            "title": "Redo Stroke"
+        },
+        "resetView": {
+            "desc": "Reset Canvas View",
+            "title": "Reset View"
+        },
+        "restoreFaces": {
+            "desc": "Restore the current image",
+            "title": "Restore Faces"
+        },
+        "saveToGallery": {
+            "desc": "Save current canvas to gallery",
+            "title": "Save To Gallery"
+        },
+        "selectBrush": {
+            "desc": "Selects the canvas brush",
+            "title": "Select Brush"
+        },
+        "selectEraser": {
+            "desc": "Selects the canvas eraser",
+            "title": "Select Eraser"
+        },
+        "sendToImageToImage": {
+            "desc": "Send current image to Image to Image",
+            "title": "Send To Image To Image"
+        },
+        "setParameters": {
+            "desc": "Use all parameters of the current image",
+            "title": "Set Parameters"
+        },
+        "setPrompt": {
+            "desc": "Use the prompt of the current image",
+            "title": "Set Prompt"
+        },
+        "setSeed": {
+            "desc": "Use the seed of the current image",
+            "title": "Set Seed"
+        },
+        "showHideBoundingBox": {
+            "desc": "Toggle visibility of bounding box",
+            "title": "Show/Hide Bounding Box"
+        },
+        "showInfo": {
+            "desc": "Show metadata info of the current image",
+            "title": "Show Info"
+        },
+        "toggleGallery": {
+            "desc": "Open and close the gallery drawer",
+            "title": "Toggle Gallery"
+        },
+        "toggleGalleryPin": {
+            "desc": "Pins and unpins the gallery to the UI",
+            "title": "Toggle Gallery Pin"
+        },
+        "toggleLayer": {
+            "desc": "Toggles mask/base layer selection",
+            "title": "Toggle Layer"
+        },
+        "toggleOptions": {
+            "desc": "Open and close the options panel",
+            "title": "Toggle Options"
+        },
+        "toggleSnap": {
+            "desc": "Toggles Snap to Grid",
+            "title": "Toggle Snap"
+        },
+        "toggleViewer": {
+            "desc": "Open and close Image Viewer",
+            "title": "Toggle Viewer"
+        },
+        "undoStroke": {
+            "desc": "Undo a brush stroke",
+            "title": "Undo Stroke"
+        },
+        "unifiedCanvasHotkeys": "Unified Canvas Hotkeys",
+        "upscale": {
+            "desc": "Upscale the current image",
+            "title": "Upscale"
         }
     },
-    "modelManager": {
-        "modelManager": "Model Manager",
+    "metadata": {
+        "cfgScale": "CFG scale",
+        "createdBy": "Created By",
+        "fit": "Image to image fit",
+        "generationMode": "Generation Mode",
+        "height": "Height",
+        "hiresFix": "High Resolution Optimization",
+        "imageDetails": "Image Details",
+        "initImage": "Initial image",
+        "metadata": "Metadata",
         "model": "Model",
-        "vae": "VAE",
-        "allModels": "All Models",
-        "checkpointModels": "Checkpoints",
-        "diffusersModels": "Diffusers",
-        "loraModels": "LoRAs",
-        "safetensorModels": "SafeTensors",
-        "onnxModels": "Onnx",
-        "oliveModels": "Olives",
-        "modelAdded": "Model Added",
-        "modelUpdated": "Model Updated",
-        "modelUpdateFailed": "Model Update Failed",
-        "modelEntryDeleted": "Model Entry Deleted",
-        "cannotUseSpaces": "Cannot Use Spaces",
+        "negativePrompt": "Negative Prompt",
+        "noImageDetails": "No image details found",
+        "noMetaData": "No metadata found",
+        "perlin": "Perlin Noise",
+        "positivePrompt": "Positive Prompt",
+        "scheduler": "Scheduler",
+        "seamless": "Seamless",
+        "seed": "Seed",
+        "steps": "Steps",
+        "strength": "Image to image strength",
+        "Threshold": "Noise Threshold",
+        "variations": "Seed-weight pairs",
+        "width": "Width",
+        "workflow": "Workflow"
+    },
+    "modelManager": {
+        "active": "active",
+        "addCheckpointModel": "Add Checkpoint / Safetensor Model",
+        "addDifference": "Add Difference",
+        "addDiffuserModel": "Add Diffusers",
+        "addManually": "Add Manually",
+        "addModel": "Add Model",
         "addNew": "Add New",
         "addNewModel": "Add New Model",
-        "addCheckpointModel": "Add Checkpoint / Safetensor Model",
-        "addDiffuserModel": "Add Diffusers",
-        "scanForModels": "Scan For Models",
-        "addManually": "Add Manually",
-        "manual": "Manual",
+        "addSelected": "Add Selected",
+        "advanced": "Advanced",
+        "allModels": "All Models",
+        "alpha": "Alpha",
+        "availableModels": "Available Models",
         "baseModel": "Base Model",
-        "name": "Name",
-        "nameValidationMsg": "Enter a name for your model",
-        "description": "Description",
-        "descriptionValidationMsg": "Add a description for your model",
+        "cached": "cached",
+        "cannotUseSpaces": "Cannot Use Spaces",
+        "checkpointFolder": "Checkpoint Folder",
+        "checkpointModels": "Checkpoints",
+        "clearCheckpointFolder": "Clear Checkpoint Folder",
+        "closeAdvanced": "Close Advanced",
         "config": "Config",
         "configValidationMsg": "Path to the config file of your model.",
-        "modelLocation": "Model Location",
-        "modelLocationValidationMsg": "Path to where your model is located locally.",
-        "repo_id": "Repo ID",
-        "repoIDValidationMsg": "Online repository of your model",
-        "vaeLocation": "VAE Location",
-        "vaeLocationValidationMsg": "Path to where your VAE is located.",
-        "variant": "Variant",
-        "vaeRepoID": "VAE Repo ID",
-        "vaeRepoIDValidationMsg": "Online repository of your VAE",
-        "width": "Width",
-        "widthValidationMsg": "Default width of your model.",
-        "height": "Height",
-        "heightValidationMsg": "Default height of your model.",
-        "addModel": "Add Model",
-        "updateModel": "Update Model",
-        "availableModels": "Available Models",
-        "search": "Search",
-        "load": "Load",
-        "active": "active",
-        "notLoaded": "not loaded",
-        "cached": "cached",
-        "checkpointFolder": "Checkpoint Folder",
-        "clearCheckpointFolder": "Clear Checkpoint Folder",
-        "findModels": "Find Models",
-        "scanAgain": "Scan Again",
-        "modelsFound": "Models Found",
-        "selectFolder": "Select Folder",
-        "selected": "Selected",
-        "selectAll": "Select All",
-        "deselectAll": "Deselect All",
-        "showExisting": "Show Existing",
-        "addSelected": "Add Selected",
-        "modelExists": "Model Exists",
-        "selectAndAdd": "Select and Add Models Listed Below",
-        "noModelsFound": "No Models Found",
-        "delete": "Delete",
-        "deleteModel": "Delete Model",
-        "deleteConfig": "Delete Config",
-        "deleteMsg1": "Are you sure you want to delete this model from InvokeAI?",
-        "modelDeleted": "Model Deleted",
-        "modelDeleteFailed": "Failed to delete model",
-        "deleteMsg2": "This WILL delete the model from disk if it is in the InvokeAI root folder. If you are using a custom location, then the model WILL NOT be deleted from disk.",
-        "formMessageDiffusersModelLocation": "Diffusers Model Location",
-        "formMessageDiffusersModelLocationDesc": "Please enter at least one.",
-        "formMessageDiffusersVAELocation": "VAE Location",
-        "formMessageDiffusersVAELocationDesc": "If not provided, InvokeAI will look for the VAE file inside the model location given above.",
         "convert": "Convert",
+        "convertingModelBegin": "Converting Model. Please wait.",
         "convertToDiffusers": "Convert To Diffusers",
         "convertToDiffusersHelpText1": "This model will be converted to the 🧨 Diffusers format.",
         "convertToDiffusersHelpText2": "This process will replace your Model Manager entry with the Diffusers version of the same model.",
@@ -422,318 +497,492 @@
         "convertToDiffusersHelpText5": "Please make sure you have enough disk space. Models generally vary between 2GB-7GB in size.",
         "convertToDiffusersHelpText6": "Do you wish to convert this model?",
         "convertToDiffusersSaveLocation": "Save Location",
-        "noCustomLocationProvided": "No Custom Location Provided",
-        "convertingModelBegin": "Converting Model. Please wait.",
-        "v1": "v1",
-        "v2_base": "v2 (512px)",
-        "v2_768": "v2 (768px)",
-        "inpainting": "v1 Inpainting",
-        "customConfig": "Custom Config",
-        "pathToCustomConfig": "Path To Custom Config",
-        "statusConverting": "Converting",
-        "modelConverted": "Model Converted",
-        "modelConversionFailed": "Model Conversion Failed",
-        "sameFolder": "Same folder",
-        "invokeRoot": "InvokeAI folder",
         "custom": "Custom",
+        "customConfig": "Custom Config",
+        "customConfigFileLocation": "Custom Config File Location",
         "customSaveLocation": "Custom Save Location",
-        "merge": "Merge",
-        "modelsMerged": "Models Merged",
-        "modelsMergeFailed": "Model Merge Failed",
-        "mergeModels": "Merge Models",
-        "modelOne": "Model 1",
-        "modelTwo": "Model 2",
-        "modelThree": "Model 3",
-        "mergedModelName": "Merged Model Name",
-        "alpha": "Alpha",
-        "interpolationType": "Interpolation Type",
-        "mergedModelSaveLocation": "Save Location",
-        "mergedModelCustomSaveLocation": "Custom Path",
-        "invokeAIFolder": "Invoke AI Folder",
+        "delete": "Delete",
+        "deleteConfig": "Delete Config",
+        "deleteModel": "Delete Model",
+        "deleteMsg1": "Are you sure you want to delete this model from InvokeAI?",
+        "deleteMsg2": "This WILL delete the model from disk if it is in the InvokeAI root folder. If you are using a custom location, then the model WILL NOT be deleted from disk.",
+        "description": "Description",
+        "descriptionValidationMsg": "Add a description for your model",
+        "deselectAll": "Deselect All",
+        "diffusersModels": "Diffusers",
+        "findModels": "Find Models",
+        "formMessageDiffusersModelLocation": "Diffusers Model Location",
+        "formMessageDiffusersModelLocationDesc": "Please enter at least one.",
+        "formMessageDiffusersVAELocation": "VAE Location",
+        "formMessageDiffusersVAELocationDesc": "If not provided, InvokeAI will look for the VAE file inside the model location given above.",
+        "height": "Height",
+        "heightValidationMsg": "Default height of your model.",
         "ignoreMismatch": "Ignore Mismatches Between Selected Models",
+        "importModels": "Import Models",
+        "inpainting": "v1 Inpainting",
+        "interpolationType": "Interpolation Type",
+        "inverseSigmoid": "Inverse Sigmoid",
+        "invokeAIFolder": "Invoke AI Folder",
+        "invokeRoot": "InvokeAI folder",
+        "load": "Load",
+        "loraModels": "LoRAs",
+        "manual": "Manual",
+        "merge": "Merge",
+        "mergedModelCustomSaveLocation": "Custom Path",
+        "mergedModelName": "Merged Model Name",
+        "mergedModelSaveLocation": "Save Location",
+        "mergeModels": "Merge Models",
+        "model": "Model",
+        "modelAdded": "Model Added",
+        "modelConversionFailed": "Model Conversion Failed",
+        "modelConverted": "Model Converted",
+        "modelDeleted": "Model Deleted",
+        "modelDeleteFailed": "Failed to delete model",
+        "modelEntryDeleted": "Model Entry Deleted",
+        "modelExists": "Model Exists",
+        "modelLocation": "Model Location",
+        "modelLocationValidationMsg": "Provide the path to a local folder where your Diffusers Model is stored",
+        "modelManager": "Model Manager",
+        "modelMergeAlphaHelp": "Alpha controls blend strength for the models. Lower alpha values lead to lower influence of the second model.",
         "modelMergeHeaderHelp1": "You can merge up to three different models to create a blend that suits your needs.",
         "modelMergeHeaderHelp2": "Only Diffusers are available for merging. If you want to merge a checkpoint model, please convert it to Diffusers first.",
-        "modelMergeAlphaHelp": "Alpha controls blend strength for the models. Lower alpha values lead to lower influence of the second model.",
         "modelMergeInterpAddDifferenceHelp": "In this mode, Model 3 is first subtracted from Model 2. The resulting version is blended with Model 1 with the alpha rate set above.",
-        "inverseSigmoid": "Inverse Sigmoid",
-        "sigmoid": "Sigmoid",
-        "weightedSum": "Weighted Sum",
+        "modelOne": "Model 1",
+        "modelsFound": "Models Found",
+        "modelsMerged": "Models Merged",
+        "modelsMergeFailed": "Model Merge Failed",
+        "modelsSynced": "Models Synced",
+        "modelSyncFailed": "Model Sync Failed",
+        "modelThree": "Model 3",
+        "modelTwo": "Model 2",
+        "modelType": "Model Type",
+        "modelUpdated": "Model Updated",
+        "modelUpdateFailed": "Model Update Failed",
+        "name": "Name",
+        "nameValidationMsg": "Enter a name for your model",
+        "noCustomLocationProvided": "No Custom Location Provided",
+        "noModels": "No Models Found",
+        "noModelsFound": "No Models Found",
         "none": "none",
-        "addDifference": "Add Difference",
+        "notLoaded": "not loaded",
+        "oliveModels": "Olives",
+        "onnxModels": "Onnx",
+        "pathToCustomConfig": "Path To Custom Config",
         "pickModelType": "Pick Model Type",
+        "predictionType": "Prediction Type (for Stable Diffusion 2.x Models only)",
+        "quickAdd": "Quick Add",
+        "repo_id": "Repo ID",
+        "repoIDValidationMsg": "Online repository of your model",
+        "safetensorModels": "SafeTensors",
+        "sameFolder": "Same folder",
+        "scanAgain": "Scan Again",
+        "scanForModels": "Scan For Models",
+        "search": "Search",
+        "selectAll": "Select All",
+        "selectAndAdd": "Select and Add Models Listed Below",
+        "selected": "Selected",
+        "selectFolder": "Select Folder",
         "selectModel": "Select Model",
-        "importModels": "Import Models",
         "settings": "Settings",
+        "showExisting": "Show Existing",
+        "sigmoid": "Sigmoid",
+        "simpleModelDesc": "Provide a path to a local Diffusers model, local checkpoint / safetensors model a HuggingFace Repo ID, or a checkpoint/diffusers model URL.",
+        "statusConverting": "Converting",
         "syncModels": "Sync Models",
         "syncModelsDesc": "If your models are out of sync with the backend, you can refresh them up using this option. This is generally handy in cases where you manually update your models.yaml file or add models to the InvokeAI root folder after the application has booted.",
-        "modelsSynced": "Models Synced",
-        "modelSyncFailed": "Model Sync Failed"
+        "updateModel": "Update Model",
+        "useCustomConfig": "Use Custom Config",
+        "v1": "v1",
+        "v2_768": "v2 (768px)",
+        "v2_base": "v2 (512px)",
+        "vae": "VAE",
+        "vaeLocation": "VAE Location",
+        "vaeLocationValidationMsg": "Path to where your VAE is located.",
+        "vaeRepoID": "VAE Repo ID",
+        "vaeRepoIDValidationMsg": "Online repository of your VAE",
+        "variant": "Variant",
+        "weightedSum": "Weighted Sum",
+        "width": "Width",
+        "widthValidationMsg": "Default width of your model."
+    },
+    "models": {
+        "loading": "loading",
+        "noLoRAsAvailable": "No LoRAs available",
+        "noMatchingLoRAs": "No matching LoRAs",
+        "noMatchingModels": "No matching Models",
+        "noModelsAvailable": "No Modelss available",
+        "selectLoRA": "Select a LoRA",
+        "selectModel": "Select a Model"
+    },
+    "nodes": {
+        "addNode": "Add Node",
+        "addNodeToolTip": "Add Node (Shift+A, Space)",
+        "animatedEdges": "Animated Edges",
+        "animatedEdgesHelp": "Animate selected edges and edges connected to selected nodes",
+        "cannotConnectInputToInput": "Cannot connect input to input",
+        "cannotConnectOutputToOutput": "Cannot connect output to output",
+        "cannotConnectToSelf": "Cannot connect to self",
+        "colorCodeEdges": "Color-Code Edges",
+        "colorCodeEdgesHelp": "Color-code edges according to their connected fields",
+        "connectionWouldCreateCycle": "Connection would create a cycle",
+        "currentImage": "Current Image",
+        "currentImageDescription": "Displays the current image in the Node Editor",
+        "downloadWorkflow": "Download Workflow JSON",
+        "fieldTypesMustMatch": "Field types must match",
+        "fitViewportNodes": "Fit View",
+        "fullyContainNodes": "Fully Contain Nodes to Select",
+        "fullyContainNodesHelp": "Nodes must be fully inside the selection box to be selected",
+        "hideGraphNodes": "Hide Graph Overlay",
+        "hideLegendNodes": "Hide Field Type Legend",
+        "hideMinimapnodes": "Hide MiniMap",
+        "inputMayOnlyHaveOneConnection": "Input may only have one connection",
+        "loadingNodes": "Loading Nodes...",
+        "loadWorkflow": "Load Workflow",
+        "noConnectionData": "No connection data",
+        "noConnectionInProgress": "No connection in progress",
+        "nodeOutputs": "Node Outputs",
+        "nodeSearch": "Search for nodes",
+        "nodeTemplate": "Node Template",
+        "noFieldsLinearview": "No fields added to Linear View",
+        "noFieldType": "No field type",
+        "noMatchingNodes": "No matching nodes",
+        "noNodeSelected": "No node selected",
+        "noOpacity": "Node Opacity",
+        "noOutputRecorded": "No outputs recorded",
+        "notes": "Notes",
+        "notesDescription": "Add notes about your workflow",
+        "pickOne": "Pick One",
+        "problemSettingTitle": "Problem Setting Title",
+        "reloadNodeTemplates": "Reload Node Templates",
+        "removeLinearView": "Remove from Linear View",
+        "resetWorkflow": "Reset Workflow",
+        "resetWorkflowDesc": "Are you sure you want to reset this workflow?",
+        "resetWorkflowDesc2": "Resetting the workflow will clear all nodes, edges and workflow details.",
+        "showGraphNodes": "Show Graph Overlay",
+        "showLegendNodes": "Show Field Type Legend",
+        "showMinimapnodes": "Show MiniMap",
+        "snapToGrid": "Snap to Grid",
+        "snapToGridHelp": "Snap nodes to grid when moved",
+        "unableToLoadWorkflow": "Unable to Validate Workflow",
+        "unableToValidateWorkflow": "Unable to Validate Workflow",
+        "unknownField": "Unknown Field",
+        "unkownInvocation": "Unknown Invocation type",
+        "validateConnections": "Validate Connections and Graph",
+        "validateConnectionsHelp": "Prevent invalid connections from being made, and invalid graphs from being invoked",
+        "workflow": "Workflow",
+        "workflowAuthor": "Author",
+        "workflowContact": "Contact",
+        "workflowDescription": "Short Description",
+        "workflowName": "Name",
+        "workflowNotes": "Notes",
+        "workflowSettings": "Workflow Editor Settings",
+        "workflowTags": "Tags",
+        "workflowValidation": "Workflow Validation Error",
+        "workflowVersion": "Version",
+        "zoomInNodes": "Zoom In",
+        "zoomOutNodes": "Zoom Out",
+        "executionStateError": "Error",
+        "executionStateCompleted": "Completed",
+        "executionStateInProgress": "In Progress",
+        "versionUnknown": " Version Unknown",
+        "unknownNode": "Unknown Node",
+        "version": "Version",
+        "updateApp": "Update App",
+        "unknownTemplate": "Unknown Template"
     },
     "parameters": {
-        "general": "General",
-        "images": "Images",
-        "steps": "Steps",
-        "cfgScale": "CFG Scale",
-        "width": "Width",
-        "height": "Height",
-        "scheduler": "Scheduler",
-        "seed": "Seed",
-        "boundingBoxWidth": "Bounding Box Width",
+        "aspectRatio": "Ratio",
+        "boundingBoxHeader": "Bounding Box",
         "boundingBoxHeight": "Bounding Box Height",
-        "imageToImage": "Image to Image",
-        "randomizeSeed": "Randomize Seed",
-        "shuffle": "Shuffle Seed",
-        "noiseThreshold": "Noise Threshold",
-        "perlinNoise": "Perlin Noise",
-        "noiseSettings": "Noise",
-        "variations": "Variations",
-        "variationAmount": "Variation Amount",
-        "seedWeights": "Seed Weights",
-        "faceRestoration": "Face Restoration",
-        "restoreFaces": "Restore Faces",
-        "type": "Type",
-        "strength": "Strength",
-        "upscaling": "Upscaling",
-        "upscale": "Upscale",
-        "upscaleImage": "Upscale Image",
+        "boundingBoxWidth": "Bounding Box Width",
+        "cancel": {
+            "cancel": "Cancel",
+            "immediate": "Cancel immediately",
+            "isScheduled": "Canceling",
+            "schedule": "Cancel after current iteration",
+            "setType": "Set cancel type"
+        },
+        "cfgScale": "CFG Scale",
+        "clipSkip": "CLIP Skip",
+        "closeViewer": "Close Viewer",
+        "codeformerFidelity": "Fidelity",
+        "coherenceMode": "Mode",
+        "coherencePassHeader": "Coherence Pass",
+        "coherenceSteps": "Steps",
+        "coherenceStrength": "Strength",
+        "compositingSettingsHeader": "Compositing Settings",
+        "controlNetControlMode": "Control Mode",
+        "copyImage": "Copy Image",
+        "copyImageToLink": "Copy Image To Link",
         "denoisingStrength": "Denoising Strength",
-        "scale": "Scale",
-        "otherOptions": "Other Options",
-        "seamlessTiling": "Seamless Tiling",
-        "seamlessXAxis": "X Axis",
-        "seamlessYAxis": "Y Axis",
+        "downloadImage": "Download Image",
+        "enableNoiseSettings": "Enable Noise Settings",
+        "faceRestoration": "Face Restoration",
+        "general": "General",
+        "height": "Height",
+        "hidePreview": "Hide Preview",
         "hiresOptim": "High Res Optimization",
         "hiresStrength": "High Res Strength",
+        "hSymmetryStep": "H Symmetry Step",
         "imageFit": "Fit Initial Image To Output Size",
-        "codeformerFidelity": "Fidelity",
-        "compositingSettingsHeader": "Compositing Settings",
+        "images": "Images",
+        "imageToImage": "Image to Image",
+        "img2imgStrength": "Image To Image Strength",
+        "infillMethod": "Infill Method",
+        "infillScalingHeader": "Infill and Scaling",
+        "info": "Info",
+        "initialImage": "Initial Image",
+        "invoke": {
+            "addingImagesTo": "Adding images to",
+            "invoke": "Invoke",
+            "missingFieldTemplate": "Missing field template",
+            "missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} missing input",
+            "missingNodeTemplate": "Missing node template",
+            "noControlImageForControlNet": "ControlNet {{index}} has no control image",
+            "noInitialImageSelected": "No initial image selected",
+            "noModelForControlNet": "ControlNet {{index}} has no model selected.",
+            "noModelSelected": "No model selected",
+            "noNodesInGraph": "No nodes in graph",
+            "readyToInvoke": "Ready to Invoke",
+            "systemBusy": "System busy",
+            "systemDisconnected": "System disconnected",
+            "unableToInvoke": "Unable to Invoke"
+        },
         "maskAdjustmentsHeader": "Mask Adjustments",
         "maskBlur": "Blur",
         "maskBlurMethod": "Blur Method",
-        "coherencePassHeader": "Coherence Pass",
-        "coherenceMode": "Mode",
-        "coherenceSteps": "Steps",
-        "coherenceStrength": "Strength",
-        "seamLowThreshold": "Low",
-        "seamHighThreshold": "High",
-        "scaleBeforeProcessing": "Scale Before Processing",
-        "scaledWidth": "Scaled W",
-        "scaledHeight": "Scaled H",
-        "infillMethod": "Infill Method",
-        "tileSize": "Tile Size",
-        "patchmatchDownScaleSize": "Downscale",
-        "boundingBoxHeader": "Bounding Box",
-        "seamCorrectionHeader": "Seam Correction",
-        "infillScalingHeader": "Infill and Scaling",
-        "img2imgStrength": "Image To Image Strength",
-        "toggleLoopback": "Toggle Loopback",
-        "symmetry": "Symmetry",
-        "hSymmetryStep": "H Symmetry Step",
-        "vSymmetryStep": "V Symmetry Step",
-        "invoke": "Invoke",
-        "cancel": {
-            "immediate": "Cancel immediately",
-            "schedule": "Cancel after current iteration",
-            "isScheduled": "Canceling",
-            "setType": "Set cancel type"
-        },
-        "positivePromptPlaceholder": "Positive Prompt",
         "negativePromptPlaceholder": "Negative Prompt",
+        "noiseSettings": "Noise",
+        "noiseThreshold": "Noise Threshold",
+        "openInViewer": "Open In Viewer",
+        "otherOptions": "Other Options",
+        "patchmatchDownScaleSize": "Downscale",
+        "perlinNoise": "Perlin Noise",
+        "positivePromptPlaceholder": "Positive Prompt",
+        "randomizeSeed": "Randomize Seed",
+        "restoreFaces": "Restore Faces",
+        "scale": "Scale",
+        "scaleBeforeProcessing": "Scale Before Processing",
+        "scaledHeight": "Scaled H",
+        "scaledWidth": "Scaled W",
+        "scheduler": "Scheduler",
+        "seamCorrectionHeader": "Seam Correction",
+        "seamHighThreshold": "High",
+        "seamlessTiling": "Seamless Tiling",
+        "seamlessXAxis": "X Axis",
+        "seamlessYAxis": "Y Axis",
+        "seamLowThreshold": "Low",
+        "seed": "Seed",
+        "seedWeights": "Seed Weights",
         "sendTo": "Send to",
         "sendToImg2Img": "Send to Image to Image",
         "sendToUnifiedCanvas": "Send To Unified Canvas",
-        "copyImage": "Copy Image",
-        "copyImageToLink": "Copy Image To Link",
-        "downloadImage": "Download Image",
-        "openInViewer": "Open In Viewer",
-        "closeViewer": "Close Viewer",
+        "showOptionsPanel": "Show Options Panel",
+        "showPreview": "Show Preview",
+        "shuffle": "Shuffle Seed",
+        "steps": "Steps",
+        "strength": "Strength",
+        "symmetry": "Symmetry",
+        "tileSize": "Tile Size",
+        "toggleLoopback": "Toggle Loopback",
+        "type": "Type",
+        "upscale": "Upscale",
+        "upscaleImage": "Upscale Image",
+        "upscaling": "Upscaling",
+        "useAll": "Use All",
+        "useCpuNoise": "Use CPU Noise",
+        "useInitImg": "Use Initial Image",
         "usePrompt": "Use Prompt",
         "useSeed": "Use Seed",
-        "useAll": "Use All",
-        "useInitImg": "Use Initial Image",
-        "info": "Info",
-        "initialImage": "Initial Image",
-        "showOptionsPanel": "Show Options Panel",
-        "hidePreview": "Hide Preview",
-        "showPreview": "Show Preview",
-        "controlNetControlMode": "Control Mode",
-        "clipSkip": "CLIP Skip",
-        "aspectRatio": "Ratio"
+        "variationAmount": "Variation Amount",
+        "variations": "Variations",
+        "vSymmetryStep": "V Symmetry Step",
+        "width": "Width"
+    },
+    "prompt": {
+        "combinatorial": "Combinatorial Generation",
+        "dynamicPrompts": "Dynamic Prompts",
+        "enableDynamicPrompts": "Enable Dynamic Prompts",
+        "maxPrompts": "Max Prompts"
+    },
+    "sdxl": {
+        "cfgScale": "CFG Scale",
+        "concatPromptStyle": "Concatenate Prompt & Style",
+        "denoisingStrength": "Denoising Strength",
+        "loading": "Loading...",
+        "negAestheticScore": "Negative Aesthetic Score",
+        "negStylePrompt": "Negative Style Prompt",
+        "noModelsAvailable": "No models available",
+        "posAestheticScore": "Positive Aesthetic Score",
+        "posStylePrompt": "Positive Style Prompt",
+        "refiner": "Refiner",
+        "refinermodel": "Refiner Model",
+        "refinerStart": "Refiner Start",
+        "scheduler": "Scheduler",
+        "selectAModel": "Select a model",
+        "steps": "Steps",
+        "useRefiner": "Use Refiner"
     },
     "settings": {
-        "models": "Models",
-        "displayInProgress": "Display Progress Images",
-        "saveSteps": "Save images every n steps",
-        "confirmOnDelete": "Confirm On Delete",
-        "displayHelpIcons": "Display Help Icons",
         "alternateCanvasLayout": "Alternate Canvas Layout",
-        "enableNodesEditor": "Enable Nodes Editor",
-        "enableImageDebugging": "Enable Image Debugging",
-        "useSlidersForAll": "Use Sliders For All Options",
-        "showProgressInViewer": "Show Progress Images in Viewer",
         "antialiasProgressImages": "Antialias Progress Images",
         "autoChangeDimensions": "Update W/H To Model Defaults On Change",
+        "beta": "Beta",
+        "confirmOnDelete": "Confirm On Delete",
+        "consoleLogLevel": "Log Level",
+        "developer": "Developer",
+        "displayHelpIcons": "Display Help Icons",
+        "displayInProgress": "Display Progress Images",
+        "enableImageDebugging": "Enable Image Debugging",
+        "enableNodesEditor": "Enable Nodes Editor",
+        "experimental": "Experimental",
+        "favoriteSchedulers": "Favorite Schedulers",
+        "favoriteSchedulersPlaceholder": "No schedulers favorited",
+        "general": "General",
+        "generation": "Generation",
+        "models": "Models",
+        "resetComplete": "Web UI has been reset.",
         "resetWebUI": "Reset Web UI",
         "resetWebUIDesc1": "Resetting the web UI only resets the browser's local cache of your images and remembered settings. It does not delete any images from disk.",
         "resetWebUIDesc2": "If images aren't showing up in the gallery or something else isn't working, please try resetting before submitting an issue on GitHub.",
-        "resetComplete": "Web UI has been reset.",
-        "consoleLogLevel": "Log Level",
+        "saveSteps": "Save images every n steps",
         "shouldLogToConsole": "Console Logging",
-        "developer": "Developer",
-        "general": "General",
-        "generation": "Generation",
-        "ui": "User Interface",
-        "favoriteSchedulers": "Favorite Schedulers",
-        "favoriteSchedulersPlaceholder": "No schedulers favorited",
         "showAdvancedOptions": "Show Advanced Options",
-        "experimental": "Experimental",
-        "beta": "Beta"
+        "showProgressInViewer": "Show Progress Images in Viewer",
+        "ui": "User Interface",
+        "useSlidersForAll": "Use Sliders For All Options"
     },
     "toast": {
-        "serverError": "Server Error",
-        "disconnected": "Disconnected from Server",
-        "connected": "Connected to Server",
         "canceled": "Processing Canceled",
-        "tempFoldersEmptied": "Temp Folder Emptied",
-        "uploadFailed": "Upload failed",
-        "uploadFailedUnableToLoadDesc": "Unable to load file",
-        "uploadFailedInvalidUploadDesc": "Must be single PNG or JPEG image",
+        "canvasMerged": "Canvas Merged",
+        "connected": "Connected to Server",
+        "disconnected": "Disconnected from Server",
         "downloadImageStarted": "Image Download Started",
+        "faceRestoreFailed": "Face Restoration Failed",
         "imageCopied": "Image Copied",
-        "problemCopyingImage": "Unable to Copy Image",
         "imageLinkCopied": "Image Link Copied",
-        "problemCopyingImageLink": "Unable to Copy Image Link",
         "imageNotLoaded": "No Image Loaded",
         "imageNotLoadedDesc": "Could not find image",
         "imageSavedToGallery": "Image Saved to Gallery",
-        "canvasMerged": "Canvas Merged",
-        "sentToImageToImage": "Sent To Image To Image",
-        "sentToUnifiedCanvas": "Sent to Unified Canvas",
-        "parameterSet": "Parameter set",
-        "parameterNotSet": "Parameter not set",
-        "parametersSet": "Parameters Set",
-        "parametersNotSet": "Parameters Not Set",
-        "parametersNotSetDesc": "No metadata found for this image.",
-        "parametersFailed": "Problem loading parameters",
-        "parametersFailedDesc": "Unable to load init image.",
-        "seedSet": "Seed Set",
-        "seedNotSet": "Seed Not Set",
-        "seedNotSetDesc": "Could not find seed for this image.",
-        "promptSet": "Prompt Set",
-        "promptNotSet": "Prompt Not Set",
-        "promptNotSetDesc": "Could not find prompt for this image.",
-        "upscalingFailed": "Upscaling Failed",
-        "faceRestoreFailed": "Face Restoration Failed",
-        "metadataLoadFailed": "Failed to load metadata",
-        "initialImageSet": "Initial Image Set",
         "initialImageNotSet": "Initial Image Not Set",
         "initialImageNotSetDesc": "Could not load initial image",
-        "nodesSaved": "Nodes Saved",
+        "initialImageSet": "Initial Image Set",
+        "metadataLoadFailed": "Failed to load metadata",
+        "modelAdded": "Model Added: {{modelName}}",
+        "modelAddedSimple": "Model Added",
+        "modelAddFailed": "Model Add Failed",
+        "nodesBrokenConnections": "Cannot load. Some connections are broken.",
+        "nodesCleared": "Nodes Cleared",
+        "nodesCorruptedGraph": "Cannot load. Graph seems to be corrupted.",
         "nodesLoaded": "Nodes Loaded",
+        "nodesLoadedFailed": "Failed To Load Nodes",
         "nodesNotValidGraph": "Not a valid InvokeAI Node Graph",
         "nodesNotValidJSON": "Not a valid JSON",
-        "nodesCorruptedGraph": "Cannot load. Graph seems to be corrupted.",
+        "nodesSaved": "Nodes Saved",
         "nodesUnrecognizedTypes": "Cannot load. Graph has unrecognized types",
-        "nodesBrokenConnections": "Cannot load. Some connections are broken.",
-        "nodesLoadedFailed": "Failed To Load Nodes",
-        "nodesCleared": "Nodes Cleared"
+        "parameterNotSet": "Parameter not set",
+        "parameterSet": "Parameter set",
+        "parametersFailed": "Problem loading parameters",
+        "parametersFailedDesc": "Unable to load init image.",
+        "parametersNotSet": "Parameters Not Set",
+        "parametersNotSetDesc": "No metadata found for this image.",
+        "parametersSet": "Parameters Set",
+        "problemCopyingImage": "Unable to Copy Image",
+        "problemCopyingImageLink": "Unable to Copy Image Link",
+        "promptNotSet": "Prompt Not Set",
+        "promptNotSetDesc": "Could not find prompt for this image.",
+        "promptSet": "Prompt Set",
+        "seedNotSet": "Seed Not Set",
+        "seedNotSetDesc": "Could not find seed for this image.",
+        "seedSet": "Seed Set",
+        "sentToImageToImage": "Sent To Image To Image",
+        "sentToUnifiedCanvas": "Sent to Unified Canvas",
+        "serverError": "Server Error",
+        "tempFoldersEmptied": "Temp Folder Emptied",
+        "uploadFailed": "Upload failed",
+        "uploadFailedInvalidUploadDesc": "Must be single PNG or JPEG image",
+        "uploadFailedUnableToLoadDesc": "Unable to load file",
+        "upscalingFailed": "Upscaling Failed"
     },
     "tooltip": {
         "feature": {
-            "prompt": "This is the prompt field. Prompt includes generation objects and stylistic terms. You can add weight (token importance) in the prompt as well, but CLI commands and parameters will not work.",
-            "gallery": "Gallery displays generations from the outputs folder as they're created. Settings are stored within files and accesed by context menu.",
-            "other": "These options will enable alternative processing modes for Invoke. 'Seamless tiling' will create repeating patterns in the output. 'High resolution' is generation in two steps with img2img: use this setting when you want a larger and more coherent image without artifacts. It will take longer than usual txt2img.",
-            "seed": "Seed value affects the initial noise from which the image is formed. You can use the already existing seeds from previous images. 'Noise Threshold' is used to mitigate artifacts at high CFG values (try the 0-10 range), and Perlin to add Perlin noise during generation: both serve to add variation to your outputs.",
-            "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3.",
-            "upscale": "Use ESRGAN to enlarge the image immediately after generation.",
-            "faceCorrection": "Face correction with GFPGAN or Codeformer: the algorithm detects faces in the image and corrects any defects. High value will change the image more, resulting in more attractive faces. Codeformer with a higher fidelity preserves the original image at the expense of stronger face correction.",
-            "imageToImage": "Image to Image loads any image as initial, which is then used to generate a new one along with the prompt. The higher the value, the more the result image will change. Values from 0.0 to 1.0 are possible, the recommended range is .25-.75",
             "boundingBox": "The bounding box is the same as the Width and Height settings for Text to Image or Image to Image. Only the area in the box will be processed.",
+            "faceCorrection": "Face correction with GFPGAN or Codeformer: the algorithm detects faces in the image and corrects any defects. High value will change the image more, resulting in more attractive faces. Codeformer with a higher fidelity preserves the original image at the expense of stronger face correction.",
+            "gallery": "Gallery displays generations from the outputs folder as they're created. Settings are stored within files and accesed by context menu.",
+            "imageToImage": "Image to Image loads any image as initial, which is then used to generate a new one along with the prompt. The higher the value, the more the result image will change. Values from 0.0 to 1.0 are possible, the recommended range is .25-.75",
+            "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes).",
+            "other": "These options will enable alternative processing modes for Invoke. 'Seamless tiling' will create repeating patterns in the output. 'High resolution' is generation in two steps with img2img: use this setting when you want a larger and more coherent image without artifacts. It will take longer than usual txt2img.",
+            "prompt": "This is the prompt field. Prompt includes generation objects and stylistic terms. You can add weight (token importance) in the prompt as well, but CLI commands and parameters will not work.",
             "seamCorrection": "Controls the handling of visible seams that occur between generated images on the canvas.",
-            "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes)."
+            "seed": "Seed value affects the initial noise from which the image is formed. You can use the already existing seeds from previous images. 'Noise Threshold' is used to mitigate artifacts at high CFG values (try the 0-10 range), and Perlin to add Perlin noise during generation: both serve to add variation to your outputs.",
+            "upscale": "Use ESRGAN to enlarge the image immediately after generation.",
+            "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3."
         }
     },
+    "ui": {
+        "hideProgressImages": "Hide Progress Images",
+        "lockRatio": "Lock Ratio",
+        "showProgressImages": "Show Progress Images",
+        "swapSizes": "Swap Sizes"
+    },
     "unifiedCanvas": {
-        "layer": "Layer",
-        "base": "Base",
-        "mask": "Mask",
-        "maskingOptions": "Masking Options",
-        "enableMask": "Enable Mask",
-        "preserveMaskedArea": "Preserve Masked Area",
-        "clearMask": "Clear Mask",
-        "brush": "Brush",
-        "eraser": "Eraser",
-        "fillBoundingBox": "Fill Bounding Box",
-        "eraseBoundingBox": "Erase Bounding Box",
-        "colorPicker": "Color Picker",
-        "brushOptions": "Brush Options",
-        "brushSize": "Size",
-        "move": "Move",
-        "resetView": "Reset View",
-        "mergeVisible": "Merge Visible",
-        "saveToGallery": "Save To Gallery",
-        "copyToClipboard": "Copy to Clipboard",
-        "downloadAsImage": "Download As Image",
-        "undo": "Undo",
-        "redo": "Redo",
-        "clearCanvas": "Clear Canvas",
-        "canvasSettings": "Canvas Settings",
-        "showIntermediates": "Show Intermediates",
-        "showGrid": "Show Grid",
-        "snapToGrid": "Snap to Grid",
-        "darkenOutsideSelection": "Darken Outside Selection",
-        "autoSaveToGallery": "Auto Save to Gallery",
-        "saveBoxRegionOnly": "Save Box Region Only",
-        "limitStrokesToBox": "Limit Strokes to Box",
-        "showCanvasDebugInfo": "Show Additional Canvas Info",
-        "clearCanvasHistory": "Clear Canvas History",
-        "clearHistory": "Clear History",
-        "clearCanvasHistoryMessage": "Clearing the canvas history leaves your current canvas intact, but irreversibly clears the undo and redo history.",
-        "clearCanvasHistoryConfirm": "Are you sure you want to clear the canvas history?",
-        "emptyTempImageFolder": "Empty Temp Image Folder",
-        "emptyFolder": "Empty Folder",
-        "emptyTempImagesFolderMessage": "Emptying the temp image folder also fully resets the Unified Canvas. This includes all undo/redo history, images in the staging area, and the canvas base layer.",
-        "emptyTempImagesFolderConfirm": "Are you sure you want to empty the temp folder?",
-        "activeLayer": "Active Layer",
-        "canvasScale": "Canvas Scale",
-        "boundingBox": "Bounding Box",
-        "scaledBoundingBox": "Scaled Bounding Box",
-        "boundingBoxPosition": "Bounding Box Position",
-        "canvasDimensions": "Canvas Dimensions",
-        "canvasPosition": "Canvas Position",
-        "cursorPosition": "Cursor Position",
-        "previous": "Previous",
-        "next": "Next",
         "accept": "Accept",
-        "showHide": "Show/Hide",
-        "discardAll": "Discard All",
+        "activeLayer": "Active Layer",
+        "antialiasing": "Antialiasing",
+        "autoSaveToGallery": "Auto Save to Gallery",
+        "base": "Base",
         "betaClear": "Clear",
         "betaDarkenOutside": "Darken Outside",
         "betaLimitToBox": "Limit To Box",
         "betaPreserveMasked": "Preserve Masked",
-        "antialiasing": "Antialiasing"
-    },
-    "ui": {
-        "showProgressImages": "Show Progress Images",
-        "hideProgressImages": "Hide Progress Images",
-        "swapSizes": "Swap Sizes",
-        "lockRatio": "Lock Ratio"
-    },
-    "nodes": {
-        "reloadNodeTemplates": "Reload Node Templates",
-        "downloadWorkflow": "Download Workflow JSON",
-        "loadWorkflow": "Load Workflow",
-        "resetWorkflow": "Reset Workflow",
-        "resetWorkflowDesc": "Are you sure you want to reset this workflow?",
-        "resetWorkflowDesc2": "Resetting the workflow will clear all nodes, edges and workflow details.",
-        "zoomInNodes": "Zoom In",
-        "zoomOutNodes": "Zoom Out",
-        "fitViewportNodes": "Fit View",
-        "hideGraphNodes": "Hide Graph Overlay",
-        "showGraphNodes": "Show Graph Overlay",
-        "hideLegendNodes": "Hide Field Type Legend",
-        "showLegendNodes": "Show Field Type Legend",
-        "hideMinimapnodes": "Hide MiniMap",
-        "showMinimapnodes": "Show MiniMap"
+        "boundingBox": "Bounding Box",
+        "boundingBoxPosition": "Bounding Box Position",
+        "brush": "Brush",
+        "brushOptions": "Brush Options",
+        "brushSize": "Size",
+        "canvasDimensions": "Canvas Dimensions",
+        "canvasPosition": "Canvas Position",
+        "canvasScale": "Canvas Scale",
+        "canvasSettings": "Canvas Settings",
+        "clearCanvas": "Clear Canvas",
+        "clearCanvasHistory": "Clear Canvas History",
+        "clearCanvasHistoryConfirm": "Are you sure you want to clear the canvas history?",
+        "clearCanvasHistoryMessage": "Clearing the canvas history leaves your current canvas intact, but irreversibly clears the undo and redo history.",
+        "clearHistory": "Clear History",
+        "clearMask": "Clear Mask",
+        "colorPicker": "Color Picker",
+        "copyToClipboard": "Copy to Clipboard",
+        "cursorPosition": "Cursor Position",
+        "darkenOutsideSelection": "Darken Outside Selection",
+        "discardAll": "Discard All",
+        "downloadAsImage": "Download As Image",
+        "emptyFolder": "Empty Folder",
+        "emptyTempImageFolder": "Empty Temp Image Folder",
+        "emptyTempImagesFolderConfirm": "Are you sure you want to empty the temp folder?",
+        "emptyTempImagesFolderMessage": "Emptying the temp image folder also fully resets the Unified Canvas. This includes all undo/redo history, images in the staging area, and the canvas base layer.",
+        "enableMask": "Enable Mask",
+        "eraseBoundingBox": "Erase Bounding Box",
+        "eraser": "Eraser",
+        "fillBoundingBox": "Fill Bounding Box",
+        "layer": "Layer",
+        "limitStrokesToBox": "Limit Strokes to Box",
+        "mask": "Mask",
+        "maskingOptions": "Masking Options",
+        "mergeVisible": "Merge Visible",
+        "move": "Move",
+        "next": "Next",
+        "preserveMaskedArea": "Preserve Masked Area",
+        "previous": "Previous",
+        "redo": "Redo",
+        "resetView": "Reset View",
+        "saveBoxRegionOnly": "Save Box Region Only",
+        "saveToGallery": "Save To Gallery",
+        "scaledBoundingBox": "Scaled Bounding Box",
+        "showCanvasDebugInfo": "Show Additional Canvas Info",
+        "showGrid": "Show Grid",
+        "showHide": "Show/Hide",
+        "showIntermediates": "Show Intermediates",
+        "snapToGrid": "Snap to Grid",
+        "undo": "Undo"
     }
 }
diff --git a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts b/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
index 8eaabeeedf..dd21afe459 100644
--- a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
+++ b/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
@@ -6,6 +6,7 @@ import { isInvocationNode } from 'features/nodes/types/types';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { forEach, map } from 'lodash-es';
 import { getConnectedEdges } from 'reactflow';
+import i18n from 'i18next';
 
 const selector = createSelector(
   [stateSelector, activeTabNameSelector],
@@ -19,22 +20,22 @@ const selector = createSelector(
 
     // Cannot generate if already processing an image
     if (isProcessing) {
-      reasons.push('System busy');
+      reasons.push(i18n.t('parameters.invoke.systemBusy'));
     }
 
     // Cannot generate if not connected
     if (!isConnected) {
-      reasons.push('System disconnected');
+      reasons.push(i18n.t('parameters.invoke.systemDisconnected'));
     }
 
     if (activeTabName === 'img2img' && !initialImage) {
-      reasons.push('No initial image selected');
+      reasons.push(i18n.t('parameters.invoke.noInitialImageSelected'));
     }
 
     if (activeTabName === 'nodes') {
       if (nodes.shouldValidateGraph) {
         if (!nodes.nodes.length) {
-          reasons.push('No nodes in graph');
+          reasons.push(i18n.t('parameters.invoke.noNodesInGraph'));
         }
 
         nodes.nodes.forEach((node) => {
@@ -46,7 +47,7 @@ const selector = createSelector(
 
           if (!nodeTemplate) {
             // Node type not found
-            reasons.push('Missing node template');
+            reasons.push(i18n.t('parameters.invoke.missingNodeTemplate'));
             return;
           }
 
@@ -60,7 +61,7 @@ const selector = createSelector(
             );
 
             if (!fieldTemplate) {
-              reasons.push('Missing field template');
+              reasons.push(i18n.t('parameters.invoke.missingFieldTemplate'));
               return;
             }
 
@@ -70,9 +71,10 @@ const selector = createSelector(
               !hasConnection
             ) {
               reasons.push(
-                `${node.data.label || nodeTemplate.title} -> ${
-                  field.label || fieldTemplate.title
-                } missing input`
+                i18n.t('parameters.invoke.missingInputForField', {
+                  nodeLabel: node.data.label || nodeTemplate.title,
+                  fieldLabel: field.label || fieldTemplate.title,
+                })
               );
               return;
             }
@@ -81,7 +83,7 @@ const selector = createSelector(
       }
     } else {
       if (!model) {
-        reasons.push('No model selected');
+        reasons.push(i18n.t('parameters.invoke.noModelSelected'));
       }
 
       if (state.controlNet.isEnabled) {
@@ -90,7 +92,9 @@ const selector = createSelector(
             return;
           }
           if (!controlNet.model) {
-            reasons.push(`ControlNet ${i + 1} has no model selected.`);
+            reasons.push(
+              i18n.t('parameters.invoke.noModelForControlNet', { index: i + 1 })
+            );
           }
 
           if (
@@ -98,7 +102,11 @@ const selector = createSelector(
             (!controlNet.processedControlImage &&
               controlNet.processorType !== 'none')
           ) {
-            reasons.push(`ControlNet ${i + 1} has no control image`);
+            reasons.push(
+              i18n.t('parameters.invoke.noControlImageForControlNet', {
+                index: i + 1,
+              })
+            );
           }
         });
       }
diff --git a/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx b/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx
index 2443fa6081..6bdf434d52 100644
--- a/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx
+++ b/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx
@@ -21,6 +21,7 @@ import {
   useRemoveImagesFromBoardMutation,
 } from 'services/api/endpoints/images';
 import { changeBoardReset, isModalOpenChanged } from '../store/slice';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   [stateSelector],
@@ -42,10 +43,11 @@ const ChangeBoardModal = () => {
   const { imagesToChange, isModalOpen } = useAppSelector(selector);
   const [addImagesToBoard] = useAddImagesToBoardMutation();
   const [removeImagesFromBoard] = useRemoveImagesFromBoardMutation();
+  const { t } = useTranslation();
 
   const data = useMemo(() => {
     const data: { label: string; value: string }[] = [
-      { label: 'Uncategorized', value: 'none' },
+      { label: t('boards.uncategorized'), value: 'none' },
     ];
     (boards ?? []).forEach((board) =>
       data.push({
@@ -55,7 +57,7 @@ const ChangeBoardModal = () => {
     );
 
     return data;
-  }, [boards]);
+  }, [boards, t]);
 
   const handleClose = useCallback(() => {
     dispatch(changeBoardReset());
@@ -97,7 +99,7 @@ const ChangeBoardModal = () => {
       <AlertDialogOverlay>
         <AlertDialogContent>
           <AlertDialogHeader fontSize="lg" fontWeight="bold">
-            Change Board
+            {t('boards.changeBoard')}
           </AlertDialogHeader>
 
           <AlertDialogBody>
@@ -107,7 +109,9 @@ const ChangeBoardModal = () => {
                 {`${imagesToChange.length > 1 ? 's' : ''}`} to board:
               </Text>
               <IAIMantineSearchableSelect
-                placeholder={isFetching ? 'Loading...' : 'Select Board'}
+                placeholder={
+                  isFetching ? t('boards.loading') : t('boards.selectBoard')
+                }
                 disabled={isFetching}
                 onChange={(v) => setSelectedBoard(v)}
                 value={selectedBoard}
@@ -117,10 +121,10 @@ const ChangeBoardModal = () => {
           </AlertDialogBody>
           <AlertDialogFooter>
             <IAIButton ref={cancelRef} onClick={handleClose}>
-              Cancel
+              {t('boards.cancel')}
             </IAIButton>
             <IAIButton colorScheme="accent" onClick={handleChangeBoard} ml={3}>
-              Move
+              {t('boards.move')}
             </IAIButton>
           </AlertDialogFooter>
         </AlertDialogContent>
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
index 1f70542494..d40a234495 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
@@ -28,6 +28,7 @@ import ParamControlNetBeginEnd from './parameters/ParamControlNetBeginEnd';
 import ParamControlNetControlMode from './parameters/ParamControlNetControlMode';
 import ParamControlNetProcessorSelect from './parameters/ParamControlNetProcessorSelect';
 import ParamControlNetResizeMode from './parameters/ParamControlNetResizeMode';
+import { useTranslation } from 'react-i18next';
 
 type ControlNetProps = {
   controlNet: ControlNetConfig;
@@ -37,6 +38,7 @@ const ControlNet = (props: ControlNetProps) => {
   const { controlNet } = props;
   const { controlNetId } = controlNet;
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const activeTabName = useAppSelector(activeTabNameSelector);
 
@@ -95,8 +97,8 @@ const ControlNet = (props: ControlNetProps) => {
     >
       <Flex sx={{ gap: 2, alignItems: 'center' }}>
         <IAISwitch
-          tooltip="Toggle this ControlNet"
-          aria-label="Toggle this ControlNet"
+          tooltip={t('controlnet.toggleControlNet')}
+          aria-label={t('controlnet.toggleControlNet')}
           isChecked={isEnabled}
           onChange={handleToggleIsEnabled}
         />
@@ -117,23 +119,31 @@ const ControlNet = (props: ControlNetProps) => {
         )}
         <IAIIconButton
           size="sm"
-          tooltip="Duplicate"
-          aria-label="Duplicate"
+          tooltip={t('controlnet.duplicate')}
+          aria-label={t('controlnet.duplicate')}
           onClick={handleDuplicate}
           icon={<FaCopy />}
         />
         <IAIIconButton
           size="sm"
-          tooltip="Delete"
-          aria-label="Delete"
+          tooltip={t('controlnet.delete')}
+          aria-label={t('controlnet.delete')}
           colorScheme="error"
           onClick={handleDelete}
           icon={<FaTrash />}
         />
         <IAIIconButton
           size="sm"
-          tooltip={isExpanded ? 'Hide Advanced' : 'Show Advanced'}
-          aria-label={isExpanded ? 'Hide Advanced' : 'Show Advanced'}
+          tooltip={
+            isExpanded
+              ? t('controlnet.hideAdvanced')
+              : t('controlnet.showAdvanced')
+          }
+          aria-label={
+            isExpanded
+              ? t('controlnet.hideAdvanced')
+              : t('controlnet.showAdvanced')
+          }
           onClick={toggleIsExpanded}
           variant="ghost"
           sx={{
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
index d2c37445a3..02c65c1c83 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
@@ -26,6 +26,7 @@ import {
   ControlNetConfig,
   controlNetImageChanged,
 } from '../store/controlNetSlice';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   controlNet: ControlNetConfig;
@@ -56,6 +57,7 @@ const ControlNetImagePreview = ({ isSmall, controlNet }: Props) => {
   } = controlNet;
 
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const { pendingControlImages, autoAddBoardId } = useAppSelector(selector);
   const activeTabName = useAppSelector(activeTabNameSelector);
@@ -208,18 +210,18 @@ const ControlNetImagePreview = ({ isSmall, controlNet }: Props) => {
         <IAIDndImageIcon
           onClick={handleResetControlImage}
           icon={controlImage ? <FaUndo /> : undefined}
-          tooltip="Reset Control Image"
+          tooltip={t('controlnet.resetControlImage')}
         />
         <IAIDndImageIcon
           onClick={handleSaveControlImage}
           icon={controlImage ? <FaSave size={16} /> : undefined}
-          tooltip="Save Control Image"
+          tooltip={t('controlnet.saveControlImage')}
           styleOverrides={{ marginTop: 6 }}
         />
         <IAIDndImageIcon
           onClick={handleSetControlImageToDimensions}
           icon={controlImage ? <FaRulerVertical size={16} /> : undefined}
-          tooltip="Set Control Image Dimensions To W/H"
+          tooltip={t('controlnet.setControlImageDimensions')}
           styleOverrides={{ marginTop: 12 }}
         />
       </>
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx b/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx
index 0e044d4575..76f1cb9dfe 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx
@@ -6,6 +6,7 @@ import {
 } from 'features/controlNet/store/controlNetSlice';
 import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   controlNet: ControlNetConfig;
@@ -15,6 +16,7 @@ const ParamControlNetShouldAutoConfig = (props: Props) => {
   const { controlNetId, isEnabled, shouldAutoConfig } = props.controlNet;
   const dispatch = useAppDispatch();
   const isBusy = useAppSelector(selectIsBusy);
+  const { t } = useTranslation();
 
   const handleShouldAutoConfigChanged = useCallback(() => {
     dispatch(controlNetAutoConfigToggled({ controlNetId }));
@@ -22,8 +24,8 @@ const ParamControlNetShouldAutoConfig = (props: Props) => {
 
   return (
     <IAISwitch
-      label="Auto configure processor"
-      aria-label="Auto configure processor"
+      label={t('controlnet.autoConfigure')}
+      aria-label={t('controlnet.autoConfigure')}
       isChecked={shouldAutoConfig}
       onChange={handleShouldAutoConfigChanged}
       isDisabled={isBusy || !isEnabled}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/imports/ControlNetCanvasImageImports.tsx b/invokeai/frontend/web/src/features/controlNet/components/imports/ControlNetCanvasImageImports.tsx
index d62af1d3d3..c89bf747fc 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/imports/ControlNetCanvasImageImports.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/imports/ControlNetCanvasImageImports.tsx
@@ -8,6 +8,7 @@ import {
 import { ControlNetConfig } from 'features/controlNet/store/controlNetSlice';
 import { memo, useCallback } from 'react';
 import { FaImage, FaMask } from 'react-icons/fa';
+import { useTranslation } from 'react-i18next';
 
 type ControlNetCanvasImageImportsProps = {
   controlNet: ControlNetConfig;
@@ -18,6 +19,7 @@ const ControlNetCanvasImageImports = (
 ) => {
   const { controlNet } = props;
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const handleImportImageFromCanvas = useCallback(() => {
     dispatch(canvasImageToControlNet({ controlNet }));
@@ -36,15 +38,15 @@ const ControlNetCanvasImageImports = (
       <IAIIconButton
         size="sm"
         icon={<FaImage />}
-        tooltip="Import Image From Canvas"
-        aria-label="Import Image From Canvas"
+        tooltip={t('controlnet.importImageFromCanvas')}
+        aria-label={t('controlnet.importImageFromCanvas')}
         onClick={handleImportImageFromCanvas}
       />
       <IAIIconButton
         size="sm"
         icon={<FaMask />}
-        tooltip="Import Mask From Canvas"
-        aria-label="Import Mask From Canvas"
+        tooltip={t('controlnet.importMaskFromCanvas')}
+        aria-label={t('controlnet.importMaskFromCanvas')}
         onClick={handleImportMaskFromCanvas}
       />
     </Flex>
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
index 1219239e5d..f34c863cff 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
@@ -16,6 +16,7 @@ import {
   controlNetEndStepPctChanged,
 } from 'features/controlNet/store/controlNetSlice';
 import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   controlNet: ControlNetConfig;
@@ -27,6 +28,7 @@ const ParamControlNetBeginEnd = (props: Props) => {
   const { beginStepPct, endStepPct, isEnabled, controlNetId } =
     props.controlNet;
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const handleStepPctChanged = useCallback(
     (v: number[]) => {
@@ -48,10 +50,10 @@ const ParamControlNetBeginEnd = (props: Props) => {
 
   return (
     <FormControl isDisabled={!isEnabled}>
-      <FormLabel>Begin / End Step Percentage</FormLabel>
+      <FormLabel>{t('controlnet.beginEndStepPercent')}</FormLabel>
       <HStack w="100%" gap={2} alignItems="center">
         <RangeSlider
-          aria-label={['Begin Step %', 'End Step %']}
+          aria-label={['Begin Step %', 'End Step %!']}
           value={[beginStepPct, endStepPct]}
           onChange={handleStepPctChanged}
           min={0}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
index 761edde42b..e8f26a6dd1 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
@@ -6,23 +6,25 @@ import {
   controlNetControlModeChanged,
 } from 'features/controlNet/store/controlNetSlice';
 import { useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 
 type ParamControlNetControlModeProps = {
   controlNet: ControlNetConfig;
 };
 
-const CONTROL_MODE_DATA = [
-  { label: 'Balanced', value: 'balanced' },
-  { label: 'Prompt', value: 'more_prompt' },
-  { label: 'Control', value: 'more_control' },
-  { label: 'Mega Control', value: 'unbalanced' },
-];
-
 export default function ParamControlNetControlMode(
   props: ParamControlNetControlModeProps
 ) {
   const { controlMode, isEnabled, controlNetId } = props.controlNet;
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const CONTROL_MODE_DATA = [
+    { label: t('controlnet.balanced'), value: 'balanced' },
+    { label: t('controlnet.prompt'), value: 'more_prompt' },
+    { label: t('controlnet.control'), value: 'more_control' },
+    { label: t('controlnet.megaControl'), value: 'unbalanced' },
+  ];
 
   const handleControlModeChange = useCallback(
     (controlMode: ControlModes) => {
@@ -34,7 +36,7 @@ export default function ParamControlNetControlMode(
   return (
     <IAIMantineSelect
       disabled={!isEnabled}
-      label="Control Mode"
+      label={t('controlnet.controlMode')}
       data={CONTROL_MODE_DATA}
       value={String(controlMode)}
       onChange={handleControlModeChange}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx
index 5d7db854d8..180810c99f 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx
@@ -15,6 +15,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
 import { useGetControlNetModelsQuery } from 'services/api/endpoints/models';
+import { useTranslation } from 'react-i18next';
 
 type ParamControlNetModelProps = {
   controlNet: ControlNetConfig;
@@ -35,6 +36,7 @@ const ParamControlNetModel = (props: ParamControlNetModelProps) => {
   const isBusy = useAppSelector(selectIsBusy);
 
   const { mainModel } = useAppSelector(selector);
+  const { t } = useTranslation();
 
   const { data: controlNetModels } = useGetControlNetModelsQuery();
 
@@ -58,13 +60,13 @@ const ParamControlNetModel = (props: ParamControlNetModelProps) => {
         group: MODEL_TYPE_MAP[model.base_model],
         disabled,
         tooltip: disabled
-          ? `Incompatible base model: ${model.base_model}`
+          ? `${t('controlnet.incompatibleBaseModel')} ${model.base_model}`
           : undefined,
       });
     });
 
     return data;
-  }, [controlNetModels, mainModel?.base_model]);
+  }, [controlNetModels, mainModel?.base_model, t]);
 
   // grab the full model entity from the RTK Query cache
   const selectedModel = useMemo(
@@ -105,7 +107,7 @@ const ParamControlNetModel = (props: ParamControlNetModelProps) => {
       error={
         !selectedModel || mainModel?.base_model !== selectedModel.base_model
       }
-      placeholder="Select a model"
+      placeholder={t('controlnet.selectModel')}
       value={selectedModel?.id ?? null}
       onChange={handleModelChanged}
       disabled={isBusy || !isEnabled}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx
index 190b1bc012..a357547403 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx
@@ -15,6 +15,7 @@ import {
   controlNetProcessorTypeChanged,
 } from '../../store/controlNetSlice';
 import { ControlNetProcessorType } from '../../store/types';
+import { useTranslation } from 'react-i18next';
 
 type ParamControlNetProcessorSelectProps = {
   controlNet: ControlNetConfig;
@@ -57,6 +58,7 @@ const ParamControlNetProcessorSelect = (
   const { controlNetId, isEnabled, processorNode } = props.controlNet;
   const isBusy = useAppSelector(selectIsBusy);
   const controlNetProcessors = useAppSelector(selector);
+  const { t } = useTranslation();
 
   const handleProcessorTypeChanged = useCallback(
     (v: string | null) => {
@@ -72,7 +74,7 @@ const ParamControlNetProcessorSelect = (
 
   return (
     <IAIMantineSearchableSelect
-      label="Processor"
+      label={t('controlnet.processor')}
       value={processorNode.type ?? 'canny_image_processor'}
       data={controlNetProcessors}
       onChange={handleProcessorTypeChanged}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
index 72f15fb178..f2b2b59785 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
@@ -6,22 +6,24 @@ import {
   controlNetResizeModeChanged,
 } from 'features/controlNet/store/controlNetSlice';
 import { useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 
 type ParamControlNetResizeModeProps = {
   controlNet: ControlNetConfig;
 };
 
-const RESIZE_MODE_DATA = [
-  { label: 'Resize', value: 'just_resize' },
-  { label: 'Crop', value: 'crop_resize' },
-  { label: 'Fill', value: 'fill_resize' },
-];
-
 export default function ParamControlNetResizeMode(
   props: ParamControlNetResizeModeProps
 ) {
   const { resizeMode, isEnabled, controlNetId } = props.controlNet;
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const RESIZE_MODE_DATA = [
+    { label: t('controlnet.resize'), value: 'just_resize' },
+    { label: t('controlnet.crop'), value: 'crop_resize' },
+    { label: t('controlnet.fill'), value: 'fill_resize' },
+  ];
 
   const handleResizeModeChange = useCallback(
     (resizeMode: ResizeModes) => {
@@ -33,7 +35,7 @@ export default function ParamControlNetResizeMode(
   return (
     <IAIMantineSelect
       disabled={!isEnabled}
-      label="Resize Mode"
+      label={t('controlnet.resizeMode')}
       data={RESIZE_MODE_DATA}
       value={String(resizeMode)}
       onChange={handleResizeModeChange}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
index 6725c47bb8..8314f26cfc 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
@@ -5,6 +5,7 @@ import {
   controlNetWeightChanged,
 } from 'features/controlNet/store/controlNetSlice';
 import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 
 type ParamControlNetWeightProps = {
   controlNet: ControlNetConfig;
@@ -13,6 +14,7 @@ type ParamControlNetWeightProps = {
 const ParamControlNetWeight = (props: ParamControlNetWeightProps) => {
   const { weight, isEnabled, controlNetId } = props.controlNet;
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
   const handleWeightChanged = useCallback(
     (weight: number) => {
       dispatch(controlNetWeightChanged({ controlNetId, weight }));
@@ -23,7 +25,7 @@ const ParamControlNetWeight = (props: ParamControlNetWeightProps) => {
   return (
     <IAISlider
       isDisabled={!isEnabled}
-      label="Weight"
+      label={t('controlnet.weight')}
       value={weight}
       onChange={handleWeightChanged}
       min={0}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx
index e226e2a55c..83539e07da 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx
@@ -6,6 +6,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.canny_image_processor
   .default as RequiredCannyImageProcessorInvocation;
@@ -21,6 +22,7 @@ const CannyProcessor = (props: CannyProcessorProps) => {
   const { low_threshold, high_threshold } = processorNode;
   const isBusy = useAppSelector(selectIsBusy);
   const processorChanged = useProcessorNodeChanged();
+  const { t } = useTranslation();
 
   const handleLowThresholdChanged = useCallback(
     (v: number) => {
@@ -52,7 +54,7 @@ const CannyProcessor = (props: CannyProcessorProps) => {
     <ProcessorWrapper>
       <IAISlider
         isDisabled={isBusy || !isEnabled}
-        label="Low Threshold"
+        label={t('controlnet.lowThreshold')}
         value={low_threshold}
         onChange={handleLowThresholdChanged}
         handleReset={handleLowThresholdReset}
@@ -64,7 +66,7 @@ const CannyProcessor = (props: CannyProcessorProps) => {
       />
       <IAISlider
         isDisabled={isBusy || !isEnabled}
-        label="High Threshold"
+        label={t('controlnet.highThreshold')}
         value={high_threshold}
         onChange={handleHighThresholdChanged}
         handleReset={handleHighThresholdReset}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx
index d66f0a0aa8..74b1fe33a1 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx
@@ -6,6 +6,7 @@ import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
 import { useAppSelector } from 'app/store/storeHooks';
 import { selectIsBusy } from 'features/system/store/systemSelectors';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.content_shuffle_image_processor
   .default as RequiredContentShuffleImageProcessorInvocation;
@@ -21,6 +22,7 @@ const ContentShuffleProcessor = (props: Props) => {
   const { image_resolution, detect_resolution, w, h, f } = processorNode;
   const processorChanged = useProcessorNodeChanged();
   const isBusy = useAppSelector(selectIsBusy);
+  const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
     (v: number) => {
@@ -90,7 +92,7 @@ const ContentShuffleProcessor = (props: Props) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        label="Detect Resolution"
+        label={t('controlnet.detectResolution')}
         value={detect_resolution}
         onChange={handleDetectResolutionChanged}
         handleReset={handleDetectResolutionReset}
@@ -102,7 +104,7 @@ const ContentShuffleProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="Image Resolution"
+        label={t('controlnet.imageResolution')}
         value={image_resolution}
         onChange={handleImageResolutionChanged}
         handleReset={handleImageResolutionReset}
@@ -114,7 +116,7 @@ const ContentShuffleProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="W"
+        label={t('controlnet.w')}
         value={w}
         onChange={handleWChanged}
         handleReset={handleWReset}
@@ -126,7 +128,7 @@ const ContentShuffleProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="H"
+        label={t('controlnet.h')}
         value={h}
         onChange={handleHChanged}
         handleReset={handleHReset}
@@ -138,7 +140,7 @@ const ContentShuffleProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="F"
+        label={t('controlnet.f')}
         value={f}
         onChange={handleFChanged}
         handleReset={handleFReset}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx
index 04d6027ff9..4307563e64 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx
@@ -7,6 +7,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { ChangeEvent, memo, useCallback } from 'react';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.hed_image_processor
   .default as RequiredHedImageProcessorInvocation;
@@ -25,6 +26,7 @@ const HedPreprocessor = (props: HedProcessorProps) => {
   } = props;
   const isBusy = useAppSelector(selectIsBusy);
   const processorChanged = useProcessorNodeChanged();
+  const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
     (v: number) => {
@@ -62,7 +64,7 @@ const HedPreprocessor = (props: HedProcessorProps) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        label="Detect Resolution"
+        label={t('controlnet.detectResolution')}
         value={detect_resolution}
         onChange={handleDetectResolutionChanged}
         handleReset={handleDetectResolutionReset}
@@ -74,7 +76,7 @@ const HedPreprocessor = (props: HedProcessorProps) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="Image Resolution"
+        label={t('controlnet.imageResolution')}
         value={image_resolution}
         onChange={handleImageResolutionChanged}
         handleReset={handleImageResolutionReset}
@@ -86,7 +88,7 @@ const HedPreprocessor = (props: HedProcessorProps) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISwitch
-        label="Scribble"
+        label={t('controlnet.scribble')}
         isChecked={scribble}
         onChange={handleScribbleChanged}
         isDisabled={isBusy || !isEnabled}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx
index 90177e7ceb..f9ebe0e8a5 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx
@@ -6,6 +6,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.lineart_anime_image_processor
   .default as RequiredLineartAnimeImageProcessorInvocation;
@@ -21,6 +22,7 @@ const LineartAnimeProcessor = (props: Props) => {
   const { image_resolution, detect_resolution } = processorNode;
   const processorChanged = useProcessorNodeChanged();
   const isBusy = useAppSelector(selectIsBusy);
+  const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
     (v: number) => {
@@ -51,7 +53,7 @@ const LineartAnimeProcessor = (props: Props) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        label="Detect Resolution"
+        label={t('controlnet.detectResolution')}
         value={detect_resolution}
         onChange={handleDetectResolutionChanged}
         handleReset={handleDetectResolutionReset}
@@ -63,7 +65,7 @@ const LineartAnimeProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="Image Resolution"
+        label={t('controlnet.imageResolution')}
         value={image_resolution}
         onChange={handleImageResolutionChanged}
         handleReset={handleImageResolutionReset}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx
index 7f661b1cb9..d0fe49b8c2 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx
@@ -7,6 +7,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { ChangeEvent, memo, useCallback } from 'react';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.lineart_image_processor
   .default as RequiredLineartImageProcessorInvocation;
@@ -22,6 +23,7 @@ const LineartProcessor = (props: LineartProcessorProps) => {
   const { image_resolution, detect_resolution, coarse } = processorNode;
   const processorChanged = useProcessorNodeChanged();
   const isBusy = useAppSelector(selectIsBusy);
+  const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
     (v: number) => {
@@ -59,7 +61,7 @@ const LineartProcessor = (props: LineartProcessorProps) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        label="Detect Resolution"
+        label={t('controlnet.detectResolution')}
         value={detect_resolution}
         onChange={handleDetectResolutionChanged}
         handleReset={handleDetectResolutionReset}
@@ -71,7 +73,7 @@ const LineartProcessor = (props: LineartProcessorProps) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="Image Resolution"
+        label={t('controlnet.imageResolution')}
         value={image_resolution}
         onChange={handleImageResolutionChanged}
         handleReset={handleImageResolutionReset}
@@ -83,7 +85,7 @@ const LineartProcessor = (props: LineartProcessorProps) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISwitch
-        label="Coarse"
+        label={t('controlnet.coarse')}
         isChecked={coarse}
         onChange={handleCoarseChanged}
         isDisabled={isBusy || !isEnabled}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx
index b8b24ce877..003af5c275 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx
@@ -6,6 +6,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.mediapipe_face_processor
   .default as RequiredMediapipeFaceProcessorInvocation;
@@ -21,6 +22,7 @@ const MediapipeFaceProcessor = (props: Props) => {
   const { max_faces, min_confidence } = processorNode;
   const processorChanged = useProcessorNodeChanged();
   const isBusy = useAppSelector(selectIsBusy);
+  const { t } = useTranslation();
 
   const handleMaxFacesChanged = useCallback(
     (v: number) => {
@@ -47,7 +49,7 @@ const MediapipeFaceProcessor = (props: Props) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        label="Max Faces"
+        label={t('controlnet.maxFaces')}
         value={max_faces}
         onChange={handleMaxFacesChanged}
         handleReset={handleMaxFacesReset}
@@ -59,7 +61,7 @@ const MediapipeFaceProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="Min Confidence"
+        label={t('controlnet.minConfidence')}
         value={min_confidence}
         onChange={handleMinConfidenceChanged}
         handleReset={handleMinConfidenceReset}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx
index 54b174b5df..d4e0f6b85a 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx
@@ -6,6 +6,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.midas_depth_image_processor
   .default as RequiredMidasDepthImageProcessorInvocation;
@@ -21,6 +22,7 @@ const MidasDepthProcessor = (props: Props) => {
   const { a_mult, bg_th } = processorNode;
   const processorChanged = useProcessorNodeChanged();
   const isBusy = useAppSelector(selectIsBusy);
+  const { t } = useTranslation();
 
   const handleAMultChanged = useCallback(
     (v: number) => {
@@ -47,7 +49,7 @@ const MidasDepthProcessor = (props: Props) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        label="a_mult"
+        label={t('controlnet.amult')}
         value={a_mult}
         onChange={handleAMultChanged}
         handleReset={handleAMultReset}
@@ -60,7 +62,7 @@ const MidasDepthProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="bg_th"
+        label={t('controlnet.bgth')}
         value={bg_th}
         onChange={handleBgThChanged}
         handleReset={handleBgThReset}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx
index 9a86cd2cb5..bd19cd501a 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx
@@ -6,6 +6,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.mlsd_image_processor
   .default as RequiredMlsdImageProcessorInvocation;
@@ -21,6 +22,7 @@ const MlsdImageProcessor = (props: Props) => {
   const { image_resolution, detect_resolution, thr_d, thr_v } = processorNode;
   const processorChanged = useProcessorNodeChanged();
   const isBusy = useAppSelector(selectIsBusy);
+  const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
     (v: number) => {
@@ -73,7 +75,7 @@ const MlsdImageProcessor = (props: Props) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        label="Detect Resolution"
+        label={t('controlnet.detectResolution')}
         value={detect_resolution}
         onChange={handleDetectResolutionChanged}
         handleReset={handleDetectResolutionReset}
@@ -85,7 +87,7 @@ const MlsdImageProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="Image Resolution"
+        label={t('controlnet.imageResolution')}
         value={image_resolution}
         onChange={handleImageResolutionChanged}
         handleReset={handleImageResolutionReset}
@@ -97,7 +99,7 @@ const MlsdImageProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="W"
+        label={t('controlnet.w')}
         value={thr_d}
         onChange={handleThrDChanged}
         handleReset={handleThrDReset}
@@ -110,7 +112,7 @@ const MlsdImageProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="H"
+        label={t('controlnet.h')}
         value={thr_v}
         onChange={handleThrVChanged}
         handleReset={handleThrVReset}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx
index a0a8ad72cf..01be34f097 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx
@@ -6,6 +6,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.normalbae_image_processor
   .default as RequiredNormalbaeImageProcessorInvocation;
@@ -21,6 +22,7 @@ const NormalBaeProcessor = (props: Props) => {
   const { image_resolution, detect_resolution } = processorNode;
   const processorChanged = useProcessorNodeChanged();
   const isBusy = useAppSelector(selectIsBusy);
+  const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
     (v: number) => {
@@ -51,7 +53,7 @@ const NormalBaeProcessor = (props: Props) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        label="Detect Resolution"
+        label={t('controlnet.detectResolution')}
         value={detect_resolution}
         onChange={handleDetectResolutionChanged}
         handleReset={handleDetectResolutionReset}
@@ -63,7 +65,7 @@ const NormalBaeProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="Image Resolution"
+        label={t('controlnet.imageResolution')}
         value={image_resolution}
         onChange={handleImageResolutionChanged}
         handleReset={handleImageResolutionReset}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx
index 8335a5f75d..ab536e7f2a 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx
@@ -7,6 +7,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { ChangeEvent, memo, useCallback } from 'react';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.openpose_image_processor
   .default as RequiredOpenposeImageProcessorInvocation;
@@ -22,6 +23,7 @@ const OpenposeProcessor = (props: Props) => {
   const { image_resolution, detect_resolution, hand_and_face } = processorNode;
   const processorChanged = useProcessorNodeChanged();
   const isBusy = useAppSelector(selectIsBusy);
+  const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
     (v: number) => {
@@ -59,7 +61,7 @@ const OpenposeProcessor = (props: Props) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        label="Detect Resolution"
+        label={t('controlnet.detectResolution')}
         value={detect_resolution}
         onChange={handleDetectResolutionChanged}
         handleReset={handleDetectResolutionReset}
@@ -71,7 +73,7 @@ const OpenposeProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="Image Resolution"
+        label={t('controlnet.imageResolution')}
         value={image_resolution}
         onChange={handleImageResolutionChanged}
         handleReset={handleImageResolutionReset}
@@ -83,7 +85,7 @@ const OpenposeProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISwitch
-        label="Hand and Face"
+        label={t('controlnet.handAndFace')}
         isChecked={hand_and_face}
         onChange={handleHandAndFaceChanged}
         isDisabled={isBusy || !isEnabled}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx
index 4eab83136d..730db4cfb3 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx
@@ -7,6 +7,7 @@ import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { ChangeEvent, memo, useCallback } from 'react';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
+import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.pidi_image_processor
   .default as RequiredPidiImageProcessorInvocation;
@@ -22,6 +23,7 @@ const PidiProcessor = (props: Props) => {
   const { image_resolution, detect_resolution, scribble, safe } = processorNode;
   const processorChanged = useProcessorNodeChanged();
   const isBusy = useAppSelector(selectIsBusy);
+  const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
     (v: number) => {
@@ -66,7 +68,7 @@ const PidiProcessor = (props: Props) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        label="Detect Resolution"
+        label={t('controlnet.detectResolution')}
         value={detect_resolution}
         onChange={handleDetectResolutionChanged}
         handleReset={handleDetectResolutionReset}
@@ -78,7 +80,7 @@ const PidiProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISlider
-        label="Image Resolution"
+        label={t('controlnet.imageResolution')}
         value={image_resolution}
         onChange={handleImageResolutionChanged}
         handleReset={handleImageResolutionReset}
@@ -90,12 +92,12 @@ const PidiProcessor = (props: Props) => {
         isDisabled={isBusy || !isEnabled}
       />
       <IAISwitch
-        label="Scribble"
+        label={t('controlnet.scribble')}
         isChecked={scribble}
         onChange={handleScribbleChanged}
       />
       <IAISwitch
-        label="Safe"
+        label={t('controlnet.safe')}
         isChecked={safe}
         onChange={handleSafeChanged}
         isDisabled={isBusy || !isEnabled}
diff --git a/invokeai/frontend/web/src/features/controlNet/store/constants.ts b/invokeai/frontend/web/src/features/controlNet/store/constants.ts
index f8f9c38619..15d23d014f 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/constants.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/constants.ts
@@ -2,6 +2,7 @@ import {
   ControlNetProcessorType,
   RequiredControlNetProcessorNode,
 } from './types';
+import i18n from 'i18next';
 
 type ControlNetProcessorsDict = Record<
   ControlNetProcessorType,
@@ -12,7 +13,6 @@ type ControlNetProcessorsDict = Record<
     default: RequiredControlNetProcessorNode | { type: 'none' };
   }
 >;
-
 /**
  * A dict of ControlNet processors, including:
  * - type
@@ -25,16 +25,24 @@ type ControlNetProcessorsDict = Record<
 export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   none: {
     type: 'none',
-    label: 'none',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.none');
+    },
+    get description() {
+      return i18n.t('controlnet.noneDescription');
+    },
     default: {
       type: 'none',
     },
   },
   canny_image_processor: {
     type: 'canny_image_processor',
-    label: 'Canny',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.canny');
+    },
+    get description() {
+      return i18n.t('controlnet.cannyDescription');
+    },
     default: {
       id: 'canny_image_processor',
       type: 'canny_image_processor',
@@ -44,8 +52,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   content_shuffle_image_processor: {
     type: 'content_shuffle_image_processor',
-    label: 'Content Shuffle',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.contentShuffle');
+    },
+    get description() {
+      return i18n.t('controlnet.contentShuffleDescription');
+    },
     default: {
       id: 'content_shuffle_image_processor',
       type: 'content_shuffle_image_processor',
@@ -58,8 +70,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   hed_image_processor: {
     type: 'hed_image_processor',
-    label: 'HED',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.hed');
+    },
+    get description() {
+      return i18n.t('controlnet.hedDescription');
+    },
     default: {
       id: 'hed_image_processor',
       type: 'hed_image_processor',
@@ -70,8 +86,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   lineart_anime_image_processor: {
     type: 'lineart_anime_image_processor',
-    label: 'Lineart Anime',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.lineartAnime');
+    },
+    get description() {
+      return i18n.t('controlnet.lineartAnimeDescription');
+    },
     default: {
       id: 'lineart_anime_image_processor',
       type: 'lineart_anime_image_processor',
@@ -81,8 +101,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   lineart_image_processor: {
     type: 'lineart_image_processor',
-    label: 'Lineart',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.lineart');
+    },
+    get description() {
+      return i18n.t('controlnet.lineartDescription');
+    },
     default: {
       id: 'lineart_image_processor',
       type: 'lineart_image_processor',
@@ -93,8 +117,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   mediapipe_face_processor: {
     type: 'mediapipe_face_processor',
-    label: 'Mediapipe Face',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.mediapipeFace');
+    },
+    get description() {
+      return i18n.t('controlnet.mediapipeFaceDescription');
+    },
     default: {
       id: 'mediapipe_face_processor',
       type: 'mediapipe_face_processor',
@@ -104,8 +132,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   midas_depth_image_processor: {
     type: 'midas_depth_image_processor',
-    label: 'Depth (Midas)',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.depthMidas');
+    },
+    get description() {
+      return i18n.t('controlnet.depthMidasDescription');
+    },
     default: {
       id: 'midas_depth_image_processor',
       type: 'midas_depth_image_processor',
@@ -115,8 +147,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   mlsd_image_processor: {
     type: 'mlsd_image_processor',
-    label: 'M-LSD',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.mlsd');
+    },
+    get description() {
+      return i18n.t('controlnet.mlsdDescription');
+    },
     default: {
       id: 'mlsd_image_processor',
       type: 'mlsd_image_processor',
@@ -128,8 +164,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   normalbae_image_processor: {
     type: 'normalbae_image_processor',
-    label: 'Normal BAE',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.normalBae');
+    },
+    get description() {
+      return i18n.t('controlnet.normalBaeDescription');
+    },
     default: {
       id: 'normalbae_image_processor',
       type: 'normalbae_image_processor',
@@ -139,8 +179,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   openpose_image_processor: {
     type: 'openpose_image_processor',
-    label: 'Openpose',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.openPose');
+    },
+    get description() {
+      return i18n.t('controlnet.openPoseDescription');
+    },
     default: {
       id: 'openpose_image_processor',
       type: 'openpose_image_processor',
@@ -151,8 +195,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   pidi_image_processor: {
     type: 'pidi_image_processor',
-    label: 'PIDI',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.pidi');
+    },
+    get description() {
+      return i18n.t('controlnet.pidiDescription');
+    },
     default: {
       id: 'pidi_image_processor',
       type: 'pidi_image_processor',
@@ -164,8 +212,12 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
   },
   zoe_depth_image_processor: {
     type: 'zoe_depth_image_processor',
-    label: 'Depth (Zoe)',
-    description: '',
+    get label() {
+      return i18n.t('controlnet.depthZoe');
+    },
+    get description() {
+      return i18n.t('controlnet.depthZoeDescription');
+    },
     default: {
       id: 'zoe_depth_image_processor',
       type: 'zoe_depth_image_processor',
@@ -186,4 +238,6 @@ export const CONTROLNET_MODEL_DEFAULT_PROCESSORS: {
   shuffle: 'content_shuffle_image_processor',
   openpose: 'openpose_image_processor',
   mediapipe: 'mediapipe_face_processor',
+  pidi: 'pidi_image_processor',
+  zoe: 'zoe_depth_image_processor',
 };
diff --git a/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx
index 3ed7f3f05f..de1782b439 100644
--- a/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx
+++ b/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx
@@ -2,16 +2,19 @@ import { ListItem, Text, UnorderedList } from '@chakra-ui/react';
 import { some } from 'lodash-es';
 import { memo } from 'react';
 import { ImageUsage } from '../store/types';
+import { useTranslation } from 'react-i18next';
+
 type Props = {
   imageUsage?: ImageUsage;
   topMessage?: string;
   bottomMessage?: string;
 };
 const ImageUsageMessage = (props: Props) => {
+  const { t } = useTranslation();
   const {
     imageUsage,
-    topMessage = 'This image is currently in use in the following features:',
-    bottomMessage = 'If you delete this image, those features will immediately be reset.',
+    topMessage = t('gallery.currentlyInUse'),
+    bottomMessage = t('gallery.featuresWillReset'),
   } = props;
 
   if (!imageUsage) {
@@ -26,10 +29,18 @@ const ImageUsageMessage = (props: Props) => {
     <>
       <Text>{topMessage}</Text>
       <UnorderedList sx={{ paddingInlineStart: 6 }}>
-        {imageUsage.isInitialImage && <ListItem>Image to Image</ListItem>}
-        {imageUsage.isCanvasImage && <ListItem>Unified Canvas</ListItem>}
-        {imageUsage.isControlNetImage && <ListItem>ControlNet</ListItem>}
-        {imageUsage.isNodesImage && <ListItem>Node Editor</ListItem>}
+        {imageUsage.isInitialImage && (
+          <ListItem>{t('common.img2img')}</ListItem>
+        )}
+        {imageUsage.isCanvasImage && (
+          <ListItem>{t('common.unifiedCanvas')}</ListItem>
+        )}
+        {imageUsage.isControlNetImage && (
+          <ListItem>{t('common.controlNet')}</ListItem>
+        )}
+        {imageUsage.isNodesImage && (
+          <ListItem>{t('common.nodeEditor')}</ListItem>
+        )}
       </UnorderedList>
       <Text>{bottomMessage}</Text>
     </>
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx
index 70aadcd4ce..b9fd655a43 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx
@@ -9,6 +9,7 @@ import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
 import ParamDynamicPromptsCombinatorial from './ParamDynamicPromptsCombinatorial';
 import ParamDynamicPromptsToggle from './ParamDynamicPromptsEnabled';
 import ParamDynamicPromptsMaxPrompts from './ParamDynamicPromptsMaxPrompts';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -22,6 +23,7 @@ const selector = createSelector(
 
 const ParamDynamicPromptsCollapse = () => {
   const { activeLabel } = useAppSelector(selector);
+  const { t } = useTranslation();
 
   const isDynamicPromptingEnabled =
     useFeatureStatus('dynamicPrompting').isFeatureEnabled;
@@ -31,7 +33,7 @@ const ParamDynamicPromptsCollapse = () => {
   }
 
   return (
-    <IAICollapse label="Dynamic Prompts" activeLabel={activeLabel}>
+    <IAICollapse label={t('prompt.dynamicPrompts')} activeLabel={activeLabel}>
       <Flex sx={{ gap: 2, flexDir: 'column' }}>
         <ParamDynamicPromptsToggle />
         <ParamDynamicPromptsCombinatorial />
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
index c028a5d55c..406dc8e216 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
@@ -5,6 +5,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
 import { memo, useCallback } from 'react';
 import { combinatorialToggled } from '../store/dynamicPromptsSlice';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -19,6 +20,7 @@ const selector = createSelector(
 const ParamDynamicPromptsCombinatorial = () => {
   const { combinatorial, isDisabled } = useAppSelector(selector);
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const handleChange = useCallback(() => {
     dispatch(combinatorialToggled());
@@ -27,7 +29,7 @@ const ParamDynamicPromptsCombinatorial = () => {
   return (
     <IAISwitch
       isDisabled={isDisabled}
-      label="Combinatorial Generation"
+      label={t('prompt.combinatorial')}
       isChecked={combinatorial}
       onChange={handleChange}
     />
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
index 1b31147937..a1d16b5361 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
@@ -5,6 +5,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
 import { memo, useCallback } from 'react';
 import { isEnabledToggled } from '../store/dynamicPromptsSlice';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -19,6 +20,7 @@ const selector = createSelector(
 const ParamDynamicPromptsToggle = () => {
   const dispatch = useAppDispatch();
   const { isEnabled } = useAppSelector(selector);
+  const { t } = useTranslation();
 
   const handleToggleIsEnabled = useCallback(() => {
     dispatch(isEnabledToggled());
@@ -26,7 +28,7 @@ const ParamDynamicPromptsToggle = () => {
 
   return (
     <IAISwitch
-      label="Enable Dynamic Prompts"
+      label={t('prompt.enableDynamicPrompts')}
       isChecked={isEnabled}
       onChange={handleToggleIsEnabled}
     />
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx
index f374f1cb15..158fab91d9 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx
@@ -8,6 +8,7 @@ import {
   maxPromptsChanged,
   maxPromptsReset,
 } from '../store/dynamicPromptsSlice';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -31,6 +32,7 @@ const ParamDynamicPromptsMaxPrompts = () => {
   const { maxPrompts, min, sliderMax, inputMax, isDisabled } =
     useAppSelector(selector);
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const handleChange = useCallback(
     (v: number) => {
@@ -45,7 +47,7 @@ const ParamDynamicPromptsMaxPrompts = () => {
 
   return (
     <IAISlider
-      label="Max Prompts"
+      label={t('prompt.maxPrompts')}
       isDisabled={isDisabled}
       min={min}
       max={sliderMax}
diff --git a/invokeai/frontend/web/src/features/embedding/components/AddEmbeddingButton.tsx b/invokeai/frontend/web/src/features/embedding/components/AddEmbeddingButton.tsx
index 94ddc08315..d376e189aa 100644
--- a/invokeai/frontend/web/src/features/embedding/components/AddEmbeddingButton.tsx
+++ b/invokeai/frontend/web/src/features/embedding/components/AddEmbeddingButton.tsx
@@ -1,6 +1,7 @@
 import IAIIconButton from 'common/components/IAIIconButton';
 import { memo } from 'react';
 import { FaCode } from 'react-icons/fa';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   onClick: () => void;
@@ -8,11 +9,12 @@ type Props = {
 
 const AddEmbeddingButton = (props: Props) => {
   const { onClick } = props;
+  const { t } = useTranslation();
   return (
     <IAIIconButton
       size="sm"
-      aria-label="Add Embedding"
-      tooltip="Add Embedding"
+      aria-label={t('embedding.addEmbedding')}
+      tooltip={t('embedding.addEmbedding')}
       icon={<FaCode />}
       sx={{
         p: 2,
diff --git a/invokeai/frontend/web/src/features/embedding/components/ParamEmbeddingPopover.tsx b/invokeai/frontend/web/src/features/embedding/components/ParamEmbeddingPopover.tsx
index 93daaf946f..164fd01a1f 100644
--- a/invokeai/frontend/web/src/features/embedding/components/ParamEmbeddingPopover.tsx
+++ b/invokeai/frontend/web/src/features/embedding/components/ParamEmbeddingPopover.tsx
@@ -16,6 +16,7 @@ import { forEach } from 'lodash-es';
 import { PropsWithChildren, memo, useCallback, useMemo, useRef } from 'react';
 import { useGetTextualInversionModelsQuery } from 'services/api/endpoints/models';
 import { PARAMETERS_PANEL_WIDTH } from 'theme/util/constants';
+import { useTranslation } from 'react-i18next';
 
 type Props = PropsWithChildren & {
   onSelect: (v: string) => void;
@@ -27,6 +28,7 @@ const ParamEmbeddingPopover = (props: Props) => {
   const { onSelect, isOpen, onClose, children } = props;
   const { data: embeddingQueryData } = useGetTextualInversionModelsQuery();
   const inputRef = useRef<HTMLInputElement>(null);
+  const { t } = useTranslation();
 
   const currentMainModel = useAppSelector(
     (state: RootState) => state.generation.model
@@ -52,7 +54,7 @@ const ParamEmbeddingPopover = (props: Props) => {
         group: MODEL_TYPE_MAP[embedding.base_model],
         disabled,
         tooltip: disabled
-          ? `Incompatible base model: ${embedding.base_model}`
+          ? `${t('embedding.incompatibleModel')} ${embedding.base_model}`
           : undefined,
       });
     });
@@ -63,7 +65,7 @@ const ParamEmbeddingPopover = (props: Props) => {
     );
 
     return data.sort((a, b) => (a.disabled && !b.disabled ? 1 : -1));
-  }, [embeddingQueryData, currentMainModel?.base_model]);
+  }, [embeddingQueryData, currentMainModel?.base_model, t]);
 
   const handleChange = useCallback(
     (v: string | null) => {
@@ -118,10 +120,10 @@ const ParamEmbeddingPopover = (props: Props) => {
             <IAIMantineSearchableSelect
               inputRef={inputRef}
               autoFocus
-              placeholder="Add Embedding"
+              placeholder={t('embedding.addEmbedding')}
               value={null}
               data={data}
-              nothingFound="No matching Embeddings"
+              nothingFound={t('embedding.noMatchingEmbedding')}
               itemComponent={IAIMantineSelectItemWithTooltip}
               disabled={data.length === 0}
               onDropdownClose={onClose}
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
index be19589f9b..5f24225fa9 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
@@ -8,6 +8,7 @@ import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectI
 import { autoAddBoardIdChanged } from 'features/gallery/store/gallerySlice';
 import { memo, useCallback, useRef } from 'react';
 import { useListAllBoardsQuery } from 'services/api/endpoints/boards';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   [stateSelector],
@@ -26,6 +27,7 @@ const selector = createSelector(
 
 const BoardAutoAddSelect = () => {
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
   const { autoAddBoardId, autoAssignBoardOnClick, isProcessing } =
     useAppSelector(selector);
   const inputRef = useRef<HTMLInputElement>(null);
@@ -63,13 +65,13 @@ const BoardAutoAddSelect = () => {
 
   return (
     <IAIMantineSearchableSelect
-      label="Auto-Add Board"
+      label={t('boards.autoAddBoard')}
       inputRef={inputRef}
       autoFocus
-      placeholder="Select a Board"
+      placeholder={t('boards.selectBoard')}
       value={autoAddBoardId}
       data={boards}
-      nothingFound="No matching Boards"
+      nothingFound={t('boards.noMatching')}
       itemComponent={IAIMantineSelectItemWithTooltip}
       disabled={!hasBoards || autoAssignBoardOnClick || isProcessing}
       filter={(value, item: SelectItem) =>
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
index c711ad892b..e5eb92028d 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
@@ -16,6 +16,7 @@ import { menuListMotionProps } from 'theme/components/menu';
 import GalleryBoardContextMenuItems from './GalleryBoardContextMenuItems';
 import NoBoardContextMenuItems from './NoBoardContextMenuItems';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   board?: BoardDTO;
@@ -59,6 +60,8 @@ const BoardContextMenu = ({
     e.preventDefault();
   }, []);
 
+  const { t } = useTranslation();
+
   return (
     <IAIContextMenu<HTMLDivElement>
       menuProps={{ size: 'sm', isLazy: true }}
@@ -78,7 +81,7 @@ const BoardContextMenu = ({
               isDisabled={isAutoAdd || isProcessing || autoAssignBoardOnClick}
               onClick={handleSetAutoAdd}
             >
-              Auto-add to this Board
+              {t('boards.menuItemAutoAdd')}
             </MenuItem>
             {!board && <NoBoardContextMenuItems />}
             {board && (
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/AddBoardButton.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/AddBoardButton.tsx
index ebd08e94d5..96739f4c84 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/AddBoardButton.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/AddBoardButton.tsx
@@ -2,22 +2,22 @@ import IAIIconButton from 'common/components/IAIIconButton';
 import { memo, useCallback } from 'react';
 import { FaPlus } from 'react-icons/fa';
 import { useCreateBoardMutation } from 'services/api/endpoints/boards';
-
-const DEFAULT_BOARD_NAME = 'My Board';
+import { useTranslation } from 'react-i18next';
 
 const AddBoardButton = () => {
+  const { t } = useTranslation();
   const [createBoard, { isLoading }] = useCreateBoardMutation();
-
+  const DEFAULT_BOARD_NAME = t('boards.myBoard');
   const handleCreateBoard = useCallback(() => {
     createBoard(DEFAULT_BOARD_NAME);
-  }, [createBoard]);
+  }, [createBoard, DEFAULT_BOARD_NAME]);
 
   return (
     <IAIIconButton
       icon={<FaPlus />}
       isLoading={isLoading}
-      tooltip="Add Board"
-      aria-label="Add Board"
+      tooltip={t('boards.addBoard')}
+      aria-label={t('boards.addBoard')}
       onClick={handleCreateBoard}
       size="sm"
     />
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx
index d7db96a938..2d2a85597c 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx
@@ -18,6 +18,7 @@ import {
   useEffect,
   useRef,
 } from 'react';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   [stateSelector],
@@ -32,6 +33,7 @@ const BoardsSearch = () => {
   const dispatch = useAppDispatch();
   const { boardSearchText } = useAppSelector(selector);
   const inputRef = useRef<HTMLInputElement>(null);
+  const { t } = useTranslation();
 
   const handleBoardSearch = useCallback(
     (searchTerm: string) => {
@@ -73,7 +75,7 @@ const BoardsSearch = () => {
     <InputGroup>
       <Input
         ref={inputRef}
-        placeholder="Search Boards..."
+        placeholder={t('boards.searchBoard')}
         value={boardSearchText}
         onKeyDown={handleKeydown}
         onChange={handleChange}
@@ -84,7 +86,7 @@ const BoardsSearch = () => {
             onClick={clearBoardSearch}
             size="xs"
             variant="ghost"
-            aria-label="Clear Search"
+            aria-label={t('boards.clearSearch')}
             opacity={0.5}
             icon={<CloseIcon boxSize={2} />}
           />
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx
index f09cf131e2..2c54f06cec 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx
@@ -132,8 +132,8 @@ const DeleteBoardModal = (props: Props) => {
               ) : (
                 <ImageUsageMessage
                   imageUsage={imageUsageSummary}
-                  topMessage="This board contains images used in the following features:"
-                  bottomMessage="Deleting this board and its images will reset any features currently using them."
+                  topMessage={t('boards.topMessage')}
+                  bottomMessage={t('boards.bottomMessage')}
                 />
               )}
               <Text>Deleted boards cannot be restored.</Text>
diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
index 2576c8e9e3..b16820a38f 100644
--- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
@@ -19,6 +19,7 @@ import { FaImage } from 'react-icons/fa';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import ImageMetadataViewer from '../ImageMetadataViewer/ImageMetadataViewer';
 import NextPrevImageButtons from '../NextPrevImageButtons';
+import { useTranslation } from 'react-i18next';
 
 export const imagesSelector = createSelector(
   [stateSelector, selectLastSelectedImage],
@@ -117,6 +118,8 @@ const CurrentImagePreview = () => {
 
   const timeoutId = useRef(0);
 
+  const { t } = useTranslation();
+
   const handleMouseOver = useCallback(() => {
     setShouldShowNextPrevButtons(true);
     window.clearTimeout(timeoutId.current);
@@ -164,7 +167,7 @@ const CurrentImagePreview = () => {
           isUploadDisabled={true}
           fitContainer
           useThumbailFallback
-          dropLabel="Set as Current Image"
+          dropLabel={t('gallery.setCurrentImage')}
           noContentFallback={
             <IAINoContentFallback icon={FaImage} label="No image selected" />
           }
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
index 35d6cc3361..fe9d891b23 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
@@ -18,6 +18,7 @@ import {
   useUnstarImagesMutation,
 } from 'services/api/endpoints/images';
 import IAIDndImageIcon from '../../../../common/components/IAIDndImageIcon';
+import { useTranslation } from 'react-i18next';
 
 interface HoverableImageProps {
   imageName: string;
@@ -28,6 +29,7 @@ const GalleryImage = (props: HoverableImageProps) => {
   const { imageName } = props;
   const { currentData: imageDTO } = useGetImageDTOQuery(imageName);
   const shift = useAppSelector((state) => state.hotkeys.shift);
+  const { t } = useTranslation();
 
   const { handleClick, isSelected, selection, selectionCount } =
     useMultiselect(imageDTO);
@@ -136,7 +138,7 @@ const GalleryImage = (props: HoverableImageProps) => {
               <IAIDndImageIcon
                 onClick={handleDelete}
                 icon={<FaTrash />}
-                tooltip="Delete"
+                tooltip={t('gallery.deleteImage')}
                 styleOverrides={{
                   bottom: 2,
                   top: 'auto',
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
index bacd5c38ad..dc41a2ef2a 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
@@ -95,7 +95,7 @@ const GalleryImageGrid = () => {
           justifyContent: 'center',
         }}
       >
-        <IAINoContentFallback label="Loading..." icon={FaImage} />
+        <IAINoContentFallback label={t('gallery.loading')} icon={FaImage} />
       </Flex>
     );
   }
@@ -140,7 +140,7 @@ const GalleryImageGrid = () => {
           onClick={handleLoadMoreImages}
           isDisabled={!areMoreAvailable}
           isLoading={isFetching}
-          loadingText="Loading"
+          loadingText={t('gallery.loading')}
           flexShrink={0}
         >
           {`Load More (${currentData.ids.length} of ${currentViewTotal})`}
@@ -153,7 +153,7 @@ const GalleryImageGrid = () => {
     return (
       <Box sx={{ w: 'full', h: 'full' }}>
         <IAINoContentFallback
-          label="Unable to load Gallery"
+          label={t('gallery.unableToLoad')}
           icon={FaExclamationCircle}
         />
       </Box>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/DataViewer.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/DataViewer.tsx
index 2267bf15c2..ed7df88e3a 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/DataViewer.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/DataViewer.tsx
@@ -3,6 +3,7 @@ import { isString } from 'lodash-es';
 import { OverlayScrollbarsComponent } from 'overlayscrollbars-react';
 import { memo, useCallback, useMemo } from 'react';
 import { FaCopy, FaDownload } from 'react-icons/fa';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   label: string;
@@ -33,6 +34,8 @@ const DataViewer = (props: Props) => {
     a.remove();
   }, [dataString, label, fileName]);
 
+  const { t } = useTranslation();
+
   return (
     <Flex
       layerStyle="second"
@@ -73,9 +76,9 @@ const DataViewer = (props: Props) => {
       </Box>
       <Flex sx={{ position: 'absolute', top: 0, insetInlineEnd: 0, p: 2 }}>
         {withDownload && (
-          <Tooltip label={`Download ${label} JSON`}>
+          <Tooltip label={`${t('gallery.download')} ${label} JSON`}>
             <IconButton
-              aria-label={`Download ${label} JSON`}
+              aria-label={`${t('gallery.download')} ${label} JSON`}
               icon={<FaDownload />}
               variant="ghost"
               opacity={0.7}
@@ -84,9 +87,9 @@ const DataViewer = (props: Props) => {
           </Tooltip>
         )}
         {withCopy && (
-          <Tooltip label={`Copy ${label} JSON`}>
+          <Tooltip label={`${t('gallery.copy')} ${label} JSON`}>
             <IconButton
-              aria-label={`Copy ${label} JSON`}
+              aria-label={`${t('gallery.copy')} ${label} JSON`}
               icon={<FaCopy />}
               variant="ghost"
               opacity={0.7}
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
index e82b03360e..c1124477e2 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
@@ -2,6 +2,7 @@ import { CoreMetadata } from 'features/nodes/types/types';
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { memo, useCallback } from 'react';
 import ImageMetadataItem from './ImageMetadataItem';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   metadata?: CoreMetadata;
@@ -10,6 +11,8 @@ type Props = {
 const ImageMetadataActions = (props: Props) => {
   const { metadata } = props;
 
+  const { t } = useTranslation();
+
   const {
     recallPositivePrompt,
     recallNegativePrompt,
@@ -70,17 +73,20 @@ const ImageMetadataActions = (props: Props) => {
   return (
     <>
       {metadata.created_by && (
-        <ImageMetadataItem label="Created By" value={metadata.created_by} />
+        <ImageMetadataItem
+          label={t('metadata.createdBy')}
+          value={metadata.created_by}
+        />
       )}
       {metadata.generation_mode && (
         <ImageMetadataItem
-          label="Generation Mode"
+          label={t('metadata.generationMode')}
           value={metadata.generation_mode}
         />
       )}
       {metadata.positive_prompt && (
         <ImageMetadataItem
-          label="Positive Prompt"
+          label={t('metadata.positivePrompt')}
           labelPosition="top"
           value={metadata.positive_prompt}
           onClick={handleRecallPositivePrompt}
@@ -88,7 +94,7 @@ const ImageMetadataActions = (props: Props) => {
       )}
       {metadata.negative_prompt && (
         <ImageMetadataItem
-          label="Negative Prompt"
+          label={t('metadata.NegativePrompt')}
           labelPosition="top"
           value={metadata.negative_prompt}
           onClick={handleRecallNegativePrompt}
@@ -96,7 +102,7 @@ const ImageMetadataActions = (props: Props) => {
       )}
       {metadata.seed !== undefined && metadata.seed !== null && (
         <ImageMetadataItem
-          label="Seed"
+          label={t('metadata.seed')}
           value={metadata.seed}
           onClick={handleRecallSeed}
         />
@@ -105,63 +111,63 @@ const ImageMetadataActions = (props: Props) => {
         metadata.model !== null &&
         metadata.model.model_name && (
           <ImageMetadataItem
-            label="Model"
+            label={t('metadata.model')}
             value={metadata.model.model_name}
             onClick={handleRecallModel}
           />
         )}
       {metadata.width && (
         <ImageMetadataItem
-          label="Width"
+          label={t('metadata.width')}
           value={metadata.width}
           onClick={handleRecallWidth}
         />
       )}
       {metadata.height && (
         <ImageMetadataItem
-          label="Height"
+          label={t('metadata.height')}
           value={metadata.height}
           onClick={handleRecallHeight}
         />
       )}
       {/* {metadata.threshold !== undefined && (
           <MetadataItem
-            label="Noise Threshold"
+            label={t('metadata.threshold')}
             value={metadata.threshold}
             onClick={() => dispatch(setThreshold(Number(metadata.threshold)))}
           />
         )}
         {metadata.perlin !== undefined && (
           <MetadataItem
-            label="Perlin Noise"
+            label={t('metadata.perlin')}
             value={metadata.perlin}
             onClick={() => dispatch(setPerlin(Number(metadata.perlin)))}
           />
         )} */}
       {metadata.scheduler && (
         <ImageMetadataItem
-          label="Scheduler"
+          label={t('metadata.scheduler')}
           value={metadata.scheduler}
           onClick={handleRecallScheduler}
         />
       )}
       {metadata.steps && (
         <ImageMetadataItem
-          label="Steps"
+          label={t('metadata.steps')}
           value={metadata.steps}
           onClick={handleRecallSteps}
         />
       )}
       {metadata.cfg_scale !== undefined && metadata.cfg_scale !== null && (
         <ImageMetadataItem
-          label="CFG scale"
+          label={t('metadata.cfgScale')}
           value={metadata.cfg_scale}
           onClick={handleRecallCfgScale}
         />
       )}
       {/* {metadata.variations && metadata.variations.length > 0 && (
           <MetadataItem
-            label="Seed-weight pairs"
+            label="{t('metadata.variations')}
             value={seedWeightsToString(metadata.variations)}
             onClick={() =>
               dispatch(
@@ -172,14 +178,14 @@ const ImageMetadataActions = (props: Props) => {
         )}
         {metadata.seamless && (
           <MetadataItem
-            label="Seamless"
+            label={t('metadata.seamless')}
             value={metadata.seamless}
             onClick={() => dispatch(setSeamless(metadata.seamless))}
           />
         )}
         {metadata.hires_fix && (
           <MetadataItem
-            label="High Resolution Optimization"
+            label={t('metadata.hiresFix')}
             value={metadata.hires_fix}
             onClick={() => dispatch(setHiresFix(metadata.hires_fix))}
           />
@@ -187,7 +193,7 @@ const ImageMetadataActions = (props: Props) => {
 
       {/* {init_image_path && (
           <MetadataItem
-            label="Initial image"
+            label={t('metadata.initImage')}
             value={init_image_path}
             isLink
             onClick={() => dispatch(setInitialImage(init_image_path))}
@@ -195,14 +201,14 @@ const ImageMetadataActions = (props: Props) => {
         )} */}
       {metadata.strength && (
         <ImageMetadataItem
-          label="Image to image strength"
+          label={t('metadata.strength')}
           value={metadata.strength}
           onClick={handleRecallStrength}
         />
       )}
       {/* {metadata.fit && (
           <MetadataItem
-            label="Image to image fit"
+            label={t('metadata.fit')}
             value={metadata.fit}
             onClick={() => dispatch(setShouldFitToWidthHeight(metadata.fit))}
           />
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
index bec5125657..5be0b08700 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
@@ -17,6 +17,7 @@ import DataViewer from './DataViewer';
 import ImageMetadataActions from './ImageMetadataActions';
 import { useAppSelector } from '../../../../app/store/storeHooks';
 import { configSelector } from '../../../system/store/configSelectors';
+import { useTranslation } from 'react-i18next';
 
 type ImageMetadataViewerProps = {
   image: ImageDTO;
@@ -28,6 +29,7 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => {
   // useHotkeys('esc', () => {
   //   dispatch(setShouldShowImageDetails(false));
   // });
+  const { t } = useTranslation();
 
   const { shouldFetchMetadataFromApi } = useAppSelector(configSelector);
 
@@ -70,31 +72,31 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => {
         sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }}
       >
         <TabList>
-          <Tab>Metadata</Tab>
-          <Tab>Image Details</Tab>
-          <Tab>Workflow</Tab>
+          <Tab>{t('metadata.metadata')}</Tab>
+          <Tab>{t('metadata.imageDetails')}</Tab>
+          <Tab>{t('metadata.workflow')}</Tab>
         </TabList>
 
         <TabPanels>
           <TabPanel>
             {metadata ? (
-              <DataViewer data={metadata} label="Metadata" />
+              <DataViewer data={metadata} label={t('metadata.metadata')} />
             ) : (
-              <IAINoContentFallback label="No metadata found" />
+              <IAINoContentFallback label={t('metadata.noMetaData')} />
             )}
           </TabPanel>
           <TabPanel>
             {image ? (
-              <DataViewer data={image} label="Image Details" />
+              <DataViewer data={image} label={t('metadata.imageDetails')} />
             ) : (
-              <IAINoContentFallback label="No image details found" />
+              <IAINoContentFallback label={t('metadata.noImageDetails')} />
             )}
           </TabPanel>
           <TabPanel>
             {workflow ? (
-              <DataViewer data={workflow} label="Workflow" />
+              <DataViewer data={workflow} label={t('metadata.workflow')} />
             ) : (
-              <IAINoContentFallback label="No workflow found" />
+              <IAINoContentFallback label={t('metadata.noWorkFlow')} />
             )}
           </TabPanel>
         </TabPanels>
diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
index 4cefdbb20b..3675dd9af9 100644
--- a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
@@ -12,9 +12,11 @@ import TopCenterPanel from './flow/panels/TopCenterPanel/TopCenterPanel';
 import TopRightPanel from './flow/panels/TopRightPanel/TopRightPanel';
 import BottomLeftPanel from './flow/panels/BottomLeftPanel/BottomLeftPanel';
 import MinimapPanel from './flow/panels/MinimapPanel/MinimapPanel';
+import { useTranslation } from 'react-i18next';
 
 const NodeEditor = () => {
   const isReady = useAppSelector((state) => state.nodes.isReady);
+  const { t } = useTranslation();
   return (
     <Flex
       layerStyle="first"
@@ -82,7 +84,7 @@ const NodeEditor = () => {
               }}
             >
               <IAINoContentFallback
-                label="Loading Nodes..."
+                label={t('nodes.loadingNodes')}
                 icon={MdDeviceHub}
               />
             </Flex>
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx
index 83f7482177..4433adf4ab 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx
@@ -24,6 +24,7 @@ import { HotkeyCallback } from 'react-hotkeys-hook/dist/types';
 import 'reactflow/dist/style.css';
 import { AnyInvocationType } from 'services/events/types';
 import { AddNodePopoverSelectItem } from './AddNodePopoverSelectItem';
+import { useTranslation } from 'react-i18next';
 
 type NodeTemplate = {
   label: string;
@@ -48,43 +49,45 @@ const filter = (value: string, item: NodeTemplate) => {
   );
 };
 
-const selector = createSelector(
-  [stateSelector],
-  ({ nodes }) => {
-    const data: NodeTemplate[] = map(nodes.nodeTemplates, (template) => {
-      return {
-        label: template.title,
-        value: template.type,
-        description: template.description,
-        tags: template.tags,
-      };
-    });
-
-    data.push({
-      label: 'Progress Image',
-      value: 'current_image',
-      description: 'Displays the current image in the Node Editor',
-      tags: ['progress'],
-    });
-
-    data.push({
-      label: 'Notes',
-      value: 'notes',
-      description: 'Add notes about your workflow',
-      tags: ['notes'],
-    });
-
-    data.sort((a, b) => a.label.localeCompare(b.label));
-
-    return { data };
-  },
-  defaultSelectorOptions
-);
-
 const AddNodePopover = () => {
   const dispatch = useAppDispatch();
   const buildInvocation = useBuildNodeData();
   const toaster = useAppToaster();
+  const { t } = useTranslation();
+
+  const selector = createSelector(
+    [stateSelector],
+    ({ nodes }) => {
+      const data: NodeTemplate[] = map(nodes.nodeTemplates, (template) => {
+        return {
+          label: template.title,
+          value: template.type,
+          description: template.description,
+          tags: template.tags,
+        };
+      });
+
+      data.push({
+        label: t('nodes.currentImage'),
+        value: 'current_image',
+        description: t('nodes.currentImageDescription'),
+        tags: ['progress'],
+      });
+
+      data.push({
+        label: t('nodes.notes'),
+        value: 'notes',
+        description: t('nodes.notesDescription'),
+        tags: ['notes'],
+      });
+
+      data.sort((a, b) => a.label.localeCompare(b.label));
+
+      return { data, t };
+    },
+    defaultSelectorOptions
+  );
+
   const { data } = useAppSelector(selector);
   const isOpen = useAppSelector((state) => state.nodes.isAddNodePopoverOpen);
   const inputRef = useRef<HTMLInputElement>(null);
@@ -92,18 +95,20 @@ const AddNodePopover = () => {
   const addNode = useCallback(
     (nodeType: AnyInvocationType) => {
       const invocation = buildInvocation(nodeType);
-
       if (!invocation) {
+        const errorMessage = t('nodes.unknownInvocation', {
+          nodeType: nodeType,
+        });
         toaster({
           status: 'error',
-          title: `Unknown Invocation type ${nodeType}`,
+          title: errorMessage,
         });
         return;
       }
 
       dispatch(nodeAdded(invocation));
     },
-    [dispatch, buildInvocation, toaster]
+    [dispatch, buildInvocation, toaster, t]
   );
 
   const handleChange = useCallback(
@@ -179,11 +184,11 @@ const AddNodePopover = () => {
           <IAIMantineSearchableSelect
             inputRef={inputRef}
             selectOnBlur={false}
-            placeholder="Search for nodes"
+            placeholder={t('nodes.nodeSearch')}
             value={null}
             data={data}
             maxDropdownHeight={400}
-            nothingFound="No matching nodes"
+            nothingFound={t('nodes.noMatchingNodes')}
             itemComponent={AddNodePopoverSelectItem}
             filter={filter}
             onChange={handleChange}
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx
index 143785ecfe..8a96fb4230 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx
@@ -22,6 +22,7 @@ import { memo, useMemo } from 'react';
 import { FaInfoCircle } from 'react-icons/fa';
 import NotesTextarea from './NotesTextarea';
 import { useDoNodeVersionsMatch } from 'features/nodes/hooks/useDoNodeVersionsMatch';
+import { useTranslation } from 'react-i18next';
 
 interface Props {
   nodeId: string;
@@ -32,6 +33,7 @@ const InvocationNodeNotes = ({ nodeId }: Props) => {
   const label = useNodeLabel(nodeId);
   const title = useNodeTemplateTitle(nodeId);
   const doVersionsMatch = useDoNodeVersionsMatch(nodeId);
+  const { t } = useTranslation();
 
   return (
     <>
@@ -65,7 +67,7 @@ const InvocationNodeNotes = ({ nodeId }: Props) => {
       <Modal isOpen={isOpen} onClose={onClose} isCentered>
         <ModalOverlay />
         <ModalContent>
-          <ModalHeader>{label || title || 'Unknown Node'}</ModalHeader>
+          <ModalHeader>{label || title || t('nodes.unknownNode')}</ModalHeader>
           <ModalCloseButton />
           <ModalBody>
             <NotesTextarea nodeId={nodeId} />
@@ -82,6 +84,7 @@ export default memo(InvocationNodeNotes);
 const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
   const data = useNodeData(nodeId);
   const nodeTemplate = useNodeTemplate(nodeId);
+  const { t } = useTranslation();
 
   const title = useMemo(() => {
     if (data?.label && nodeTemplate?.title) {
@@ -96,8 +99,8 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
       return nodeTemplate.title;
     }
 
-    return 'Unknown Node';
-  }, [data, nodeTemplate]);
+    return t('nodes.unknownNode');
+  }, [data, nodeTemplate, t]);
 
   const versionComponent = useMemo(() => {
     if (!isInvocationNodeData(data) || !nodeTemplate) {
@@ -107,7 +110,7 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
     if (!data.version) {
       return (
         <Text as="span" sx={{ color: 'error.500' }}>
-          Version unknown
+          {t('nodes.versionUnknown')}
         </Text>
       );
     }
@@ -115,7 +118,7 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
     if (!nodeTemplate.version) {
       return (
         <Text as="span" sx={{ color: 'error.500' }}>
-          Version {data.version} (unknown template)
+          {t('nodes.version')} {data.version} ({t('nodes.unknownTemplate')})
         </Text>
       );
     }
@@ -123,7 +126,7 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
     if (compare(data.version, nodeTemplate.version, '<')) {
       return (
         <Text as="span" sx={{ color: 'error.500' }}>
-          Version {data.version} (update node)
+          {t('nodes.version')} {data.version} ({t('nodes.updateNode')})
         </Text>
       );
     }
@@ -131,16 +134,20 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
     if (compare(data.version, nodeTemplate.version, '>')) {
       return (
         <Text as="span" sx={{ color: 'error.500' }}>
-          Version {data.version} (update app)
+          {t('nodes.version')} {data.version} ({t('nodes.updateApp')})
         </Text>
       );
     }
 
-    return <Text as="span">Version {data.version}</Text>;
-  }, [data, nodeTemplate]);
+    return (
+      <Text as="span">
+        {t('nodes.version')} {data.version}
+      </Text>
+    );
+  }, [data, nodeTemplate, t]);
 
   if (!isInvocationNodeData(data)) {
-    return <Text sx={{ fontWeight: 600 }}>Unknown Node</Text>;
+    return <Text sx={{ fontWeight: 600 }}>{t('nodes.unknownNode')}</Text>;
   }
 
   return (
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeStatusIndicator.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeStatusIndicator.tsx
index 6e1da90ad8..28f6e08a4e 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeStatusIndicator.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeStatusIndicator.tsx
@@ -14,6 +14,7 @@ import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
 import { NodeExecutionState, NodeStatus } from 'features/nodes/types/types';
 import { memo, useMemo } from 'react';
 import { FaCheck, FaEllipsisH, FaExclamation } from 'react-icons/fa';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   nodeId: string;
@@ -72,10 +73,10 @@ type TooltipLabelProps = {
 
 const TooltipLabel = memo(({ nodeExecutionState }: TooltipLabelProps) => {
   const { status, progress, progressImage } = nodeExecutionState;
+  const { t } = useTranslation();
   if (status === NodeStatus.PENDING) {
     return <Text>Pending</Text>;
   }
-
   if (status === NodeStatus.IN_PROGRESS) {
     if (progressImage) {
       return (
@@ -97,18 +98,22 @@ const TooltipLabel = memo(({ nodeExecutionState }: TooltipLabelProps) => {
     }
 
     if (progress !== null) {
-      return <Text>In Progress ({Math.round(progress * 100)}%)</Text>;
+      return (
+        <Text>
+          {t('nodes.executionStateInProgress')} ({Math.round(progress * 100)}%)
+        </Text>
+      );
     }
 
-    return <Text>In Progress</Text>;
+    return <Text>{t('nodes.executionStateInProgress')}</Text>;
   }
 
   if (status === NodeStatus.COMPLETED) {
-    return <Text>Completed</Text>;
+    return <Text>{t('nodes.executionStateCompleted')}</Text>;
   }
 
   if (status === NodeStatus.FAILED) {
-    return <Text>nodeExecutionState.error</Text>;
+    return <Text>{t('nodes.executionStateError')}</Text>;
   }
 
   return null;
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/NotesTextarea.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/NotesTextarea.tsx
index 68967096f9..5e85f5ba3c 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/NotesTextarea.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/NotesTextarea.tsx
@@ -5,10 +5,12 @@ import { useNodeData } from 'features/nodes/hooks/useNodeData';
 import { nodeNotesChanged } from 'features/nodes/store/nodesSlice';
 import { isInvocationNodeData } from 'features/nodes/types/types';
 import { ChangeEvent, memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 
 const NotesTextarea = ({ nodeId }: { nodeId: string }) => {
   const dispatch = useAppDispatch();
   const data = useNodeData(nodeId);
+  const { t } = useTranslation();
   const handleNotesChanged = useCallback(
     (e: ChangeEvent<HTMLTextAreaElement>) => {
       dispatch(nodeNotesChanged({ nodeId, notes: e.target.value }));
@@ -20,7 +22,7 @@ const NotesTextarea = ({ nodeId }: { nodeId: string }) => {
   }
   return (
     <FormControl>
-      <FormLabel>Notes</FormLabel>
+      <FormLabel>{t('nodes.notes')}</FormLabel>
       <IAITextarea
         value={data?.notes}
         onChange={handleNotesChanged}
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx
index 2dbeeb2d9b..a73119347c 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx
@@ -14,6 +14,7 @@ import { fieldLabelChanged } from 'features/nodes/store/nodesSlice';
 import { MouseEvent, memo, useCallback, useEffect, useState } from 'react';
 import FieldTooltipContent from './FieldTooltipContent';
 import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
+import { useTranslation } from 'react-i18next';
 
 interface Props {
   nodeId: string;
@@ -33,10 +34,11 @@ const EditableFieldTitle = forwardRef((props: Props, ref) => {
   } = props;
   const label = useFieldLabel(nodeId, fieldName);
   const fieldTemplateTitle = useFieldTemplateTitle(nodeId, fieldName, kind);
+  const { t } = useTranslation();
 
   const dispatch = useAppDispatch();
   const [localTitle, setLocalTitle] = useState(
-    label || fieldTemplateTitle || 'Unknown Field'
+    label || fieldTemplateTitle || t('nodes.unknownFeild')
   );
 
   const handleSubmit = useCallback(
@@ -44,10 +46,10 @@ const EditableFieldTitle = forwardRef((props: Props, ref) => {
       if (newTitle && (newTitle === label || newTitle === fieldTemplateTitle)) {
         return;
       }
-      setLocalTitle(newTitle || fieldTemplateTitle || 'Unknown Field');
+      setLocalTitle(newTitle || fieldTemplateTitle || t('nodes.unknownField'));
       dispatch(fieldLabelChanged({ nodeId, fieldName, label: newTitle }));
     },
-    [label, fieldTemplateTitle, dispatch, nodeId, fieldName]
+    [label, fieldTemplateTitle, dispatch, nodeId, fieldName, t]
   );
 
   const handleChange = useCallback((newTitle: string) => {
@@ -56,8 +58,8 @@ const EditableFieldTitle = forwardRef((props: Props, ref) => {
 
   useEffect(() => {
     // Another component may change the title; sync local title with global state
-    setLocalTitle(label || fieldTemplateTitle || 'Unknown Field');
-  }, [label, fieldTemplateTitle]);
+    setLocalTitle(label || fieldTemplateTitle || t('nodes.unknownField'));
+  }, [label, fieldTemplateTitle, t]);
 
   return (
     <Tooltip
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldContextMenu.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldContextMenu.tsx
index 5d8c2def2c..b678421772 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldContextMenu.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldContextMenu.tsx
@@ -17,6 +17,7 @@ import {
 import { MouseEvent, ReactNode, memo, useCallback, useMemo } from 'react';
 import { FaMinus, FaPlus } from 'react-icons/fa';
 import { menuListMotionProps } from 'theme/components/menu';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   nodeId: string;
@@ -30,6 +31,7 @@ const FieldContextMenu = ({ nodeId, fieldName, kind, children }: Props) => {
   const label = useFieldLabel(nodeId, fieldName);
   const fieldTemplateTitle = useFieldTemplateTitle(nodeId, fieldName, kind);
   const input = useFieldInputKind(nodeId, fieldName);
+  const { t } = useTranslation();
 
   const skipEvent = useCallback((e: MouseEvent<HTMLDivElement>) => {
     e.preventDefault();
@@ -119,7 +121,9 @@ const FieldContextMenu = ({ nodeId, fieldName, kind, children }: Props) => {
             motionProps={menuListMotionProps}
             onContextMenu={skipEvent}
           >
-            <MenuGroup title={label || fieldTemplateTitle || 'Unknown Field'}>
+            <MenuGroup
+              title={label || fieldTemplateTitle || t('nodes.unknownField')}
+            >
               {menuItems}
             </MenuGroup>
           </MenuList>
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldTooltipContent.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldTooltipContent.tsx
index 1a47e81aa3..be66214a59 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldTooltipContent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldTooltipContent.tsx
@@ -8,6 +8,7 @@ import {
 } from 'features/nodes/types/types';
 import { startCase } from 'lodash-es';
 import { memo, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
 
 interface Props {
   nodeId: string;
@@ -19,6 +20,7 @@ const FieldTooltipContent = ({ nodeId, fieldName, kind }: Props) => {
   const field = useFieldData(nodeId, fieldName);
   const fieldTemplate = useFieldTemplate(nodeId, fieldName, kind);
   const isInputTemplate = isInputFieldTemplate(fieldTemplate);
+  const { t } = useTranslation();
   const fieldTitle = useMemo(() => {
     if (isInputFieldValue(field)) {
       if (field.label && fieldTemplate?.title) {
@@ -33,11 +35,11 @@ const FieldTooltipContent = ({ nodeId, fieldName, kind }: Props) => {
         return fieldTemplate.title;
       }
 
-      return 'Unknown Field';
+      return t('nodes.unknownField');
     } else {
-      return fieldTemplate?.title || 'Unknown Field';
+      return fieldTemplate?.title || t('nodes.unknownField');
     }
-  }, [field, fieldTemplate]);
+  }, [field, fieldTemplate, t]);
 
   return (
     <Flex sx={{ flexDir: 'column' }}>
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/LinearViewField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/LinearViewField.tsx
index e3983560a8..a9416380d4 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/LinearViewField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/LinearViewField.tsx
@@ -17,6 +17,7 @@ import { FaInfoCircle, FaTrash } from 'react-icons/fa';
 import EditableFieldTitle from './EditableFieldTitle';
 import FieldTooltipContent from './FieldTooltipContent';
 import InputFieldRenderer from './InputFieldRenderer';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   nodeId: string;
@@ -27,7 +28,7 @@ const LinearViewField = ({ nodeId, fieldName }: Props) => {
   const dispatch = useAppDispatch();
   const { isMouseOverNode, handleMouseOut, handleMouseOver } =
     useMouseOverNode(nodeId);
-
+  const { t } = useTranslation();
   const handleRemoveField = useCallback(() => {
     dispatch(workflowExposedFieldRemoved({ nodeId, fieldName }));
   }, [dispatch, fieldName, nodeId]);
@@ -75,8 +76,8 @@ const LinearViewField = ({ nodeId, fieldName }: Props) => {
             </Flex>
           </Tooltip>
           <IAIIconButton
-            aria-label="Remove from Linear View"
-            tooltip="Remove from Linear View"
+            aria-label={t('nodes.removeLinearView')}
+            tooltip={t('nodes.removeLinearView')}
             variant="ghost"
             size="sm"
             onClick={handleRemoveField}
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/LoRAModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/LoRAModelInputField.tsx
index 7f8f179add..3ca87b3e85 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/LoRAModelInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/LoRAModelInputField.tsx
@@ -14,6 +14,7 @@ import { modelIdToLoRAModelParam } from 'features/parameters/util/modelIdToLoRAM
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
 import { useGetLoRAModelsQuery } from 'services/api/endpoints/models';
+import { useTranslation } from 'react-i18next';
 
 const LoRAModelInputFieldComponent = (
   props: FieldComponentProps<
@@ -25,6 +26,7 @@ const LoRAModelInputFieldComponent = (
   const lora = field.value;
   const dispatch = useAppDispatch();
   const { data: loraModels } = useGetLoRAModelsQuery();
+  const { t } = useTranslation();
 
   const data = useMemo(() => {
     if (!loraModels) {
@@ -92,9 +94,11 @@ const LoRAModelInputFieldComponent = (
     <IAIMantineSearchableSelect
       className="nowheel nodrag"
       value={selectedLoRAModel?.id ?? null}
-      placeholder={data.length > 0 ? 'Select a LoRA' : 'No LoRAs available'}
+      placeholder={
+        data.length > 0 ? t('models.selectLoRA') : t('models.noLoRAsAvailable')
+      }
       data={data}
-      nothingFound="No matching LoRAs"
+      nothingFound={t('models.noMatchingLoRAs')}
       itemComponent={IAIMantineSelectItemWithTooltip}
       disabled={data.length === 0}
       filter={(value, item: SelectItem) =>
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/MainModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/MainModelInputField.tsx
index f89177576c..08483986e3 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/MainModelInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/MainModelInputField.tsx
@@ -19,6 +19,7 @@ import {
   useGetMainModelsQuery,
   useGetOnnxModelsQuery,
 } from 'services/api/endpoints/models';
+import { useTranslation } from 'react-i18next';
 
 const MainModelInputFieldComponent = (
   props: FieldComponentProps<
@@ -29,7 +30,7 @@ const MainModelInputFieldComponent = (
   const { nodeId, field } = props;
   const dispatch = useAppDispatch();
   const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
-
+  const { t } = useTranslation();
   const { data: onnxModels, isLoading: isLoadingOnnxModels } =
     useGetOnnxModelsQuery(NON_SDXL_MAIN_MODELS);
   const { data: mainModels, isLoading: isLoadingMainModels } =
@@ -127,7 +128,9 @@ const MainModelInputFieldComponent = (
           tooltip={selectedModel?.description}
           value={selectedModel?.id}
           placeholder={
-            data.length > 0 ? 'Select a model' : 'No models available'
+            data.length > 0
+              ? t('models.selectModel')
+              : t('models.noModelsAvailable')
           }
           data={data}
           error={!selectedModel}
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/RefinerModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/RefinerModelInputField.tsx
index edad33d342..19f2c5ac8e 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/RefinerModelInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/RefinerModelInputField.tsx
@@ -89,7 +89,7 @@ const RefinerModelInputFieldComponent = (
   return isLoading ? (
     <IAIMantineSearchableSelect
       label={t('modelManager.model')}
-      placeholder="Loading..."
+      placeholder={t('models.loading')}
       disabled={true}
       data={[]}
     />
@@ -99,7 +99,11 @@ const RefinerModelInputFieldComponent = (
         className="nowheel nodrag"
         tooltip={selectedModel?.description}
         value={selectedModel?.id}
-        placeholder={data.length > 0 ? 'Select a model' : 'No models available'}
+        placeholder={
+          data.length > 0
+            ? t('models.selectModel')
+            : t('models.noModelsAvailable')
+        }
         data={data}
         error={!selectedModel}
         disabled={data.length === 0}
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SDXLMainModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SDXLMainModelInputField.tsx
index ffb4d8d412..89cb8d5150 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SDXLMainModelInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SDXLMainModelInputField.tsx
@@ -116,7 +116,7 @@ const ModelInputFieldComponent = (
   return isLoading ? (
     <IAIMantineSearchableSelect
       label={t('modelManager.model')}
-      placeholder="Loading..."
+      placeholder={t('models.loading')}
       disabled={true}
       data={[]}
     />
@@ -126,7 +126,11 @@ const ModelInputFieldComponent = (
         className="nowheel nodrag"
         tooltip={selectedModel?.description}
         value={selectedModel?.id}
-        placeholder={data.length > 0 ? 'Select a model' : 'No models available'}
+        placeholder={
+          data.length > 0
+            ? t('models.selectModel')
+            : t('models.noModelsAvailable')
+        }
         data={data}
         error={!selectedModel}
         disabled={data.length === 0}
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeTitle.tsx
index 283e5d115d..e31ac19be0 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeTitle.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeTitle.tsx
@@ -12,6 +12,7 @@ import { useNodeTemplateTitle } from 'features/nodes/hooks/useNodeTemplateTitle'
 import { nodeLabelChanged } from 'features/nodes/store/nodesSlice';
 import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
 import { MouseEvent, memo, useCallback, useEffect, useState } from 'react';
+import { useTranslation } from 'react-i18next';
 
 type Props = {
   nodeId: string;
@@ -22,16 +23,17 @@ const NodeTitle = ({ nodeId, title }: Props) => {
   const dispatch = useAppDispatch();
   const label = useNodeLabel(nodeId);
   const templateTitle = useNodeTemplateTitle(nodeId);
+  const { t } = useTranslation();
 
   const [localTitle, setLocalTitle] = useState('');
   const handleSubmit = useCallback(
     async (newTitle: string) => {
       dispatch(nodeLabelChanged({ nodeId, label: newTitle }));
       setLocalTitle(
-        newTitle || title || templateTitle || 'Problem Setting Title'
+        label || title || templateTitle || t('nodes.problemSettingTitle')
       );
     },
-    [dispatch, nodeId, title, templateTitle]
+    [dispatch, nodeId, title, templateTitle, label, t]
   );
 
   const handleChange = useCallback((newTitle: string) => {
@@ -40,8 +42,10 @@ const NodeTitle = ({ nodeId, title }: Props) => {
 
   useEffect(() => {
     // Another component may change the title; sync local title with global state
-    setLocalTitle(label || title || templateTitle || 'Problem Setting Title');
-  }, [label, templateTitle, title]);
+    setLocalTitle(
+      label || title || templateTitle || t('nodes.problemSettingTitle')
+    );
+  }, [label, templateTitle, title, t]);
 
   return (
     <Flex
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/BottomLeftPanel/NodeOpacitySlider.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/BottomLeftPanel/NodeOpacitySlider.tsx
index 7818dece72..b9078017d4 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/BottomLeftPanel/NodeOpacitySlider.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/panels/BottomLeftPanel/NodeOpacitySlider.tsx
@@ -8,10 +8,12 @@ import {
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { nodeOpacityChanged } from 'features/nodes/store/nodesSlice';
 import { useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 
 export default function NodeOpacitySlider() {
   const dispatch = useAppDispatch();
   const nodeOpacity = useAppSelector((state) => state.nodes.nodeOpacity);
+  const { t } = useTranslation();
 
   const handleChange = useCallback(
     (v: number) => {
@@ -23,7 +25,7 @@ export default function NodeOpacitySlider() {
   return (
     <Flex alignItems="center">
       <Slider
-        aria-label="Node Opacity"
+        aria-label={t('nodes.nodeOpacity')}
         value={nodeOpacity}
         min={0.5}
         max={1}
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx
index 73296ef52d..d355eab348 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx
@@ -4,10 +4,11 @@ import IAIIconButton from 'common/components/IAIIconButton';
 import { addNodePopoverOpened } from 'features/nodes/store/nodesSlice';
 import { memo, useCallback } from 'react';
 import { FaPlus } from 'react-icons/fa';
+import { useTranslation } from 'react-i18next';
 
 const TopLeftPanel = () => {
   const dispatch = useAppDispatch();
-
+  const { t } = useTranslation();
   const handleOpenAddNodePopover = useCallback(() => {
     dispatch(addNodePopoverOpened());
   }, [dispatch]);
@@ -15,8 +16,8 @@ const TopLeftPanel = () => {
   return (
     <Flex sx={{ gap: 2, position: 'absolute', top: 2, insetInlineStart: 2 }}>
       <IAIIconButton
-        tooltip="Add Node (Shift+A, Space)"
-        aria-label="Add Node"
+        tooltip={t('nodes.addNodeToolTip')}
+        aria-label={t('nodes.addNode')}
         icon={<FaPlus />}
         onClick={handleOpenAddNodePopover}
       />
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopRightPanel/WorkflowEditorSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopRightPanel/WorkflowEditorSettings.tsx
index c423750cd8..b822b2abb9 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopRightPanel/WorkflowEditorSettings.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopRightPanel/WorkflowEditorSettings.tsx
@@ -29,6 +29,7 @@ import { ChangeEvent, memo, useCallback } from 'react';
 import { FaCog } from 'react-icons/fa';
 import { SelectionMode } from 'reactflow';
 import ReloadNodeTemplatesButton from '../TopCenterPanel/ReloadSchemaButton';
+import { useTranslation } from 'react-i18next';
 
 const formLabelProps: FormLabelProps = {
   fontWeight: 600,
@@ -101,12 +102,14 @@ const WorkflowEditorSettings = forwardRef((_, ref) => {
     [dispatch]
   );
 
+  const { t } = useTranslation();
+
   return (
     <>
       <IAIIconButton
         ref={ref}
-        aria-label="Workflow Editor Settings"
-        tooltip="Workflow Editor Settings"
+        aria-label={t('nodes.workflowSettings')}
+        tooltip={t('nodes.workflowSettings')}
         icon={<FaCog />}
         onClick={onOpen}
       />
@@ -114,7 +117,7 @@ const WorkflowEditorSettings = forwardRef((_, ref) => {
       <Modal isOpen={isOpen} onClose={onClose} size="2xl" isCentered>
         <ModalOverlay />
         <ModalContent>
-          <ModalHeader>Workflow Editor Settings</ModalHeader>
+          <ModalHeader>{t('nodes.workflowSettings')}</ModalHeader>
           <ModalCloseButton />
           <ModalBody>
             <Flex
@@ -129,31 +132,31 @@ const WorkflowEditorSettings = forwardRef((_, ref) => {
                 formLabelProps={formLabelProps}
                 onChange={handleChangeShouldAnimate}
                 isChecked={shouldAnimateEdges}
-                label="Animated Edges"
-                helperText="Animate selected edges and edges connected to selected nodes"
+                label={t('nodes.animatedEdges')}
+                helperText={t('nodes.animatedEdgesHelp')}
               />
               <Divider />
               <IAISwitch
                 formLabelProps={formLabelProps}
                 isChecked={shouldSnapToGrid}
                 onChange={handleChangeShouldSnap}
-                label="Snap to Grid"
-                helperText="Snap nodes to grid when moved"
+                label={t('nodes.snapToGrid')}
+                helperText={t('nodes.snapToGridHelp')}
               />
               <Divider />
               <IAISwitch
                 formLabelProps={formLabelProps}
                 isChecked={shouldColorEdges}
                 onChange={handleChangeShouldColor}
-                label="Color-Code Edges"
-                helperText="Color-code edges according to their connected fields"
+                label={t('nodes.colorCodeEdges')}
+                helperText={t('nodes.colorCodeEdgesHelp')}
               />
               <IAISwitch
                 formLabelProps={formLabelProps}
                 isChecked={selectionModeIsChecked}
                 onChange={handleChangeSelectionMode}
-                label="Fully Contain Nodes to Select"
-                helperText="Nodes must be fully inside the selection box to be selected"
+                label={t('nodes.fullyContainNodes')}
+                helperText={t('nodes.fullyContainNodesHelp')}
               />
               <Heading size="sm" pt={4}>
                 Advanced
@@ -162,8 +165,8 @@ const WorkflowEditorSettings = forwardRef((_, ref) => {
                 formLabelProps={formLabelProps}
                 isChecked={shouldValidateGraph}
                 onChange={handleChangeShouldValidate}
-                label="Validate Connections and Graph"
-                helperText="Prevent invalid connections from being made, and invalid graphs from being invoked"
+                label={t('nodes.validateConnections')}
+                helperText={t('nodes.validateConnectionsHelp')}
               />
               <ReloadNodeTemplatesButton />
             </Flex>
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx
index d626a92021..ffc260b95a 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx
@@ -9,6 +9,7 @@ import { memo } from 'react';
 import NotesTextarea from '../../flow/nodes/Invocation/NotesTextarea';
 import NodeTitle from '../../flow/nodes/common/NodeTitle';
 import ScrollableContent from '../ScrollableContent';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -34,9 +35,12 @@ const selector = createSelector(
 
 const InspectorDetailsTab = () => {
   const { data, template } = useAppSelector(selector);
+  const { t } = useTranslation();
 
   if (!template || !data) {
-    return <IAINoContentFallback label="No node selected" icon={null} />;
+    return (
+      <IAINoContentFallback label={t('nodes.noNodeSelected')} icon={null} />
+    );
   }
 
   return <Content data={data} template={template} />;
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx
index f6b229f997..b6a194051e 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx
@@ -11,6 +11,7 @@ import { ImageOutput } from 'services/api/types';
 import { AnyResult } from 'services/events/types';
 import ScrollableContent from '../ScrollableContent';
 import ImageOutputPreview from './outputs/ImageOutputPreview';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -40,13 +41,18 @@ const selector = createSelector(
 
 const InspectorOutputsTab = () => {
   const { node, template, nes } = useAppSelector(selector);
+  const { t } = useTranslation();
 
   if (!node || !nes || !isInvocationNode(node)) {
-    return <IAINoContentFallback label="No node selected" icon={null} />;
+    return (
+      <IAINoContentFallback label={t('nodes.noNodeSelected')} icon={null} />
+    );
   }
 
   if (nes.outputs.length === 0) {
-    return <IAINoContentFallback label="No outputs recorded" icon={null} />;
+    return (
+      <IAINoContentFallback label={t('nodes.noOutputRecorded')} icon={null} />
+    );
   }
 
   return (
@@ -77,7 +83,7 @@ const InspectorOutputsTab = () => {
               />
             ))
           ) : (
-            <DataViewer data={nes.outputs} label="Node Outputs" />
+            <DataViewer data={nes.outputs} label={t('nodes.nodesOutputs')} />
           )}
         </Flex>
       </ScrollableContent>
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx
index 525b58b1cb..b5e358239a 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx
@@ -5,6 +5,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import DataViewer from 'features/gallery/components/ImageMetadataViewer/DataViewer';
 import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -29,12 +30,15 @@ const selector = createSelector(
 
 const NodeTemplateInspector = () => {
   const { template } = useAppSelector(selector);
+  const { t } = useTranslation();
 
   if (!template) {
-    return <IAINoContentFallback label="No node selected" icon={null} />;
+    return (
+      <IAINoContentFallback label={t('nodes.noNodeSelected')} icon={null} />
+    );
   }
 
-  return <DataViewer data={template} label="Node Template" />;
+  return <DataViewer data={template} label={t('nodes.NodeTemplate')} />;
 };
 
 export default memo(NodeTemplateInspector);
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowGeneralTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowGeneralTab.tsx
index e36675b71f..ad1070096e 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowGeneralTab.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowGeneralTab.tsx
@@ -16,6 +16,7 @@ import {
 } from 'features/nodes/store/nodesSlice';
 import { ChangeEvent, memo, useCallback } from 'react';
 import ScrollableContent from '../ScrollableContent';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -85,6 +86,8 @@ const WorkflowGeneralTab = () => {
     [dispatch]
   );
 
+  const { t } = useTranslation();
+
   return (
     <ScrollableContent>
       <Flex
@@ -96,28 +99,36 @@ const WorkflowGeneralTab = () => {
         }}
       >
         <Flex sx={{ gap: 2, w: 'full' }}>
-          <IAIInput label="Name" value={name} onChange={handleChangeName} />
           <IAIInput
-            label="Version"
+            label={t('nodes.workflowName')}
+            value={name}
+            onChange={handleChangeName}
+          />
+          <IAIInput
+            label={t('nodes.workflowVersion')}
             value={version}
             onChange={handleChangeVersion}
           />
         </Flex>
         <Flex sx={{ gap: 2, w: 'full' }}>
           <IAIInput
-            label="Author"
+            label={t('nodes.workflowAuthor')}
             value={author}
             onChange={handleChangeAuthor}
           />
           <IAIInput
-            label="Contact"
+            label={t('nodes.workflowContact')}
             value={contact}
             onChange={handleChangeContact}
           />
         </Flex>
-        <IAIInput label="Tags" value={tags} onChange={handleChangeTags} />
+        <IAIInput
+          label={t('nodes.workflowTags')}
+          value={tags}
+          onChange={handleChangeTags}
+        />
         <FormControl as={Flex} sx={{ flexDir: 'column' }}>
-          <FormLabel>Short Description</FormLabel>
+          <FormLabel>{t('nodes.workflowDescription')}</FormLabel>
           <IAITextarea
             onChange={handleChangeDescription}
             value={description}
@@ -126,7 +137,7 @@ const WorkflowGeneralTab = () => {
           />
         </FormControl>
         <FormControl as={Flex} sx={{ flexDir: 'column', h: 'full' }}>
-          <FormLabel>Notes</FormLabel>
+          <FormLabel>{t('nodes.workflowNotes')}</FormLabel>
           <IAITextarea
             onChange={handleChangeNotes}
             value={notes}
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowJSONTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowJSONTab.tsx
index aa3b1ad1be..49a1fb1d21 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowJSONTab.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowJSONTab.tsx
@@ -2,9 +2,11 @@ import { Flex } from '@chakra-ui/react';
 import DataViewer from 'features/gallery/components/ImageMetadataViewer/DataViewer';
 import { useWorkflow } from 'features/nodes/hooks/useWorkflow';
 import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
 
 const WorkflowJSONTab = () => {
   const workflow = useWorkflow();
+  const { t } = useTranslation();
 
   return (
     <Flex
@@ -15,7 +17,7 @@ const WorkflowJSONTab = () => {
         h: 'full',
       }}
     >
-      <DataViewer data={workflow} label="Workflow" />
+      <DataViewer data={workflow} label={t('nodes.workflow')} />
     </Flex>
   );
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowLinearTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowLinearTab.tsx
index d1cecefbff..cf9e11d9d6 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowLinearTab.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowLinearTab.tsx
@@ -7,6 +7,7 @@ import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import { memo } from 'react';
 import LinearViewField from '../../flow/nodes/Invocation/fields/LinearViewField';
 import ScrollableContent from '../ScrollableContent';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -20,6 +21,7 @@ const selector = createSelector(
 
 const WorkflowLinearTab = () => {
   const { fields } = useAppSelector(selector);
+  const { t } = useTranslation();
 
   return (
     <Box
@@ -51,7 +53,7 @@ const WorkflowLinearTab = () => {
             ))
           ) : (
             <IAINoContentFallback
-              label="No fields added to Linear View"
+              label={t('nodes.noFieldsLinearview')}
               icon={null}
             />
           )}
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useLoadWorkflowFromFile.tsx b/invokeai/frontend/web/src/features/nodes/hooks/useLoadWorkflowFromFile.tsx
index 7f015ac5eb..890fa7a72d 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useLoadWorkflowFromFile.tsx
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useLoadWorkflowFromFile.tsx
@@ -9,10 +9,12 @@ import { memo, useCallback } from 'react';
 import { ZodError } from 'zod';
 import { fromZodError, fromZodIssue } from 'zod-validation-error';
 import { workflowLoadRequested } from '../store/actions';
+import { useTranslation } from 'react-i18next';
 
 export const useLoadWorkflowFromFile = () => {
   const dispatch = useAppDispatch();
   const logger = useLogger('nodes');
+  const { t } = useTranslation();
   const loadWorkflowFromFile = useCallback(
     (file: File | null) => {
       if (!file) {
@@ -28,7 +30,7 @@ export const useLoadWorkflowFromFile = () => {
 
           if (!result.success) {
             const { message } = fromZodError(result.error, {
-              prefix: 'Workflow Validation Error',
+              prefix: t('nodes.workflowValidation'),
             });
 
             logger.error({ error: parseify(result.error) }, message);
@@ -36,7 +38,7 @@ export const useLoadWorkflowFromFile = () => {
             dispatch(
               addToast(
                 makeToast({
-                  title: 'Unable to Validate Workflow',
+                  title: t('nodes.unableToValidateWorkflow'),
                   status: 'error',
                   duration: 5000,
                 })
@@ -54,7 +56,7 @@ export const useLoadWorkflowFromFile = () => {
           dispatch(
             addToast(
               makeToast({
-                title: 'Unable to Load Workflow',
+                title: t('nodes.unableToLoadWorkflow'),
                 status: 'error',
               })
             )
@@ -64,7 +66,7 @@ export const useLoadWorkflowFromFile = () => {
 
       reader.readAsText(file);
     },
-    [dispatch, logger]
+    [dispatch, logger, t]
   );
 
   return loadWorkflowFromFile;
diff --git a/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts b/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
index 5cb6d557e8..ac157bb476 100644
--- a/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
@@ -9,6 +9,7 @@ import {
 } from 'features/nodes/types/constants';
 import { FieldType } from 'features/nodes/types/types';
 import { HandleType } from 'reactflow';
+import i18n from 'i18next';
 
 /**
  * NOTE: The logic here must be duplicated in `invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts`
@@ -20,17 +21,17 @@ export const makeConnectionErrorSelector = (
   fieldName: string,
   handleType: HandleType,
   fieldType?: FieldType
-) =>
-  createSelector(stateSelector, (state) => {
+) => {
+  return createSelector(stateSelector, (state) => {
     if (!fieldType) {
-      return 'No field type';
+      return i18n.t('nodes.noFieldType');
     }
 
     const { currentConnectionFieldType, connectionStartParams, nodes, edges } =
       state.nodes;
 
     if (!connectionStartParams || !currentConnectionFieldType) {
-      return 'No connection in progress';
+      return i18n.t('nodes.noConnectionInProgress');
     }
 
     const {
@@ -40,7 +41,7 @@ export const makeConnectionErrorSelector = (
     } = connectionStartParams;
 
     if (!connectionHandleType || !connectionNodeId || !connectionFieldName) {
-      return 'No connection data';
+      return i18n.t('nodes.noConnectionData');
     }
 
     const targetType =
@@ -49,14 +50,14 @@ export const makeConnectionErrorSelector = (
       handleType === 'source' ? fieldType : currentConnectionFieldType;
 
     if (nodeId === connectionNodeId) {
-      return 'Cannot connect to self';
+      return i18n.t('nodes.cannotConnectToSelf');
     }
 
     if (handleType === connectionHandleType) {
       if (handleType === 'source') {
-        return 'Cannot connect output to output';
+        return i18n.t('nodes.cannotConnectOutputToOutput');
       }
-      return 'Cannot connect input to input';
+      return i18n.t('nodes.cannotConnectInputToInput');
     }
 
     if (
@@ -66,7 +67,7 @@ export const makeConnectionErrorSelector = (
       // except CollectionItem inputs can have multiples
       targetType !== 'CollectionItem'
     ) {
-      return 'Input may only have one connection';
+      return i18n.t('nodes.inputMayOnlyHaveOneConnection');
     }
 
     /**
@@ -125,7 +126,7 @@ export const makeConnectionErrorSelector = (
           isIntToFloat
         )
       ) {
-        return 'Field types must match';
+        return i18n.t('nodes.fieldTypesMustMatch');
       }
     }
 
@@ -137,8 +138,9 @@ export const makeConnectionErrorSelector = (
     );
 
     if (!isGraphAcyclic) {
-      return 'Connection would create a cycle';
+      return i18n.t('nodes.connectionWouldCreateCycle');
     }
 
     return null;
   });
+};
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx
index bca1402571..2d461f7bb4 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx
@@ -5,6 +5,7 @@ import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAICollapse from 'common/components/IAICollapse';
 import ParamClipSkip from './ParamClipSkip';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -22,13 +23,13 @@ export default function ParamAdvancedCollapse() {
   const shouldShowAdvancedOptions = useAppSelector(
     (state: RootState) => state.generation.shouldShowAdvancedOptions
   );
-
+  const { t } = useTranslation();
   if (!shouldShowAdvancedOptions) {
     return null;
   }
 
   return (
-    <IAICollapse label="Advanced" activeLabel={activeLabel}>
+    <IAICollapse label={t('common.advanced')} activeLabel={activeLabel}>
       <Flex sx={{ flexDir: 'column', gap: 2 }}>
         <ParamClipSkip />
       </Flex>
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
index 45fd7fcf57..f10c3dd1a5 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
@@ -5,6 +5,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
 import { shouldUseCpuNoiseChanged } from 'features/parameters/store/generationSlice';
 import { ChangeEvent } from 'react';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -21,6 +22,7 @@ const selector = createSelector(
 export const ParamCpuNoiseToggle = () => {
   const dispatch = useAppDispatch();
   const { isDisabled, shouldUseCpuNoise } = useAppSelector(selector);
+  const { t } = useTranslation();
 
   const handleChange = (e: ChangeEvent<HTMLInputElement>) =>
     dispatch(shouldUseCpuNoiseChanged(e.target.checked));
@@ -28,7 +30,7 @@ export const ParamCpuNoiseToggle = () => {
   return (
     <IAISwitch
       isDisabled={isDisabled}
-      label="Use CPU Noise"
+      label={t('parameters.useCpuNoise')}
       isChecked={shouldUseCpuNoise}
       onChange={handleChange}
     />
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
index c1c2fb5119..4ec6b0163b 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
@@ -3,9 +3,11 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAISwitch from 'common/components/IAISwitch';
 import { setShouldUseNoiseSettings } from 'features/parameters/store/generationSlice';
 import { ChangeEvent } from 'react';
+import { useTranslation } from 'react-i18next';
 
 export const ParamNoiseToggle = () => {
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const shouldUseNoiseSettings = useAppSelector(
     (state: RootState) => state.generation.shouldUseNoiseSettings
@@ -16,7 +18,7 @@ export const ParamNoiseToggle = () => {
 
   return (
     <IAISwitch
-      label="Enable Noise Settings"
+      label={t('parameters.enableNoiseSettings')}
       isChecked={shouldUseNoiseSettings}
       onChange={handleChange}
     />
diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx
index e7bd36b931..6a80ccb52f 100644
--- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx
@@ -146,7 +146,7 @@ const CancelButton = (props: Props) => {
           id="cancel-button"
           {...rest}
         >
-          Cancel
+          {t('parameters.cancel.cancel')}
         </IAIButton>
       )}
       <Menu closeOnSelect={false}>
diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx
index c70f2528bb..0b81fceed7 100644
--- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx
@@ -76,7 +76,7 @@ export default function InvokeButton(props: InvokeButton) {
         )}
         {asIconButton ? (
           <IAIIconButton
-            aria-label={t('parameters.invoke')}
+            aria-label={t('parameters.invoke.invoke')}
             type="submit"
             icon={<FaPlay />}
             isDisabled={!isReady}
@@ -96,7 +96,7 @@ export default function InvokeButton(props: InvokeButton) {
         ) : (
           <IAIButton
             tooltip={<InvokeButtonTooltipContent />}
-            aria-label={t('parameters.invoke')}
+            aria-label={t('parameters.invoke.invoke')}
             type="submit"
             data-progress={isProcessing}
             isDisabled={!isReady}
@@ -105,7 +105,7 @@ export default function InvokeButton(props: InvokeButton) {
             id="invoke-button"
             leftIcon={isProcessing ? undefined : <FaPlay />}
             isLoading={isProcessing}
-            loadingText={t('parameters.invoke')}
+            loadingText={t('parameters.invoke.invoke')}
             sx={{
               w: 'full',
               flexGrow: 1,
@@ -138,11 +138,14 @@ export const InvokeButtonTooltipContent = memo(() => {
   const { isReady, reasons } = useIsReadyToInvoke();
   const { autoAddBoardId } = useAppSelector(tooltipSelector);
   const autoAddBoardName = useBoardName(autoAddBoardId);
+  const { t } = useTranslation();
 
   return (
     <Flex flexDir="column" gap={1}>
       <Text fontWeight={600}>
-        {isReady ? 'Ready to Invoke' : 'Unable to Invoke'}
+        {isReady
+          ? t('parameters.invoke.readyToInvoke')
+          : t('parameters.invoke.unableToInvoke')}
       </Text>
       {reasons.length > 0 && (
         <UnorderedList>
@@ -159,7 +162,7 @@ export const InvokeButtonTooltipContent = memo(() => {
         _dark={{ borderColor: 'base.900' }}
       />
       <Text fontWeight={400} fontStyle="oblique 10deg">
-        Adding images to{' '}
+        {t('parameters.invoke.addingImagesTo')}{' '}
         <Text as="span" fontWeight={600}>
           {autoAddBoardName || 'Uncategorized'}
         </Text>
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLConcatButton.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLConcatButton.tsx
index 057ee6fe78..94c4a3aeb0 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLConcatButton.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLConcatButton.tsx
@@ -3,6 +3,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import { FaLink } from 'react-icons/fa';
 import { setShouldConcatSDXLStylePrompt } from '../store/sdxlSlice';
+import { useTranslation } from 'react-i18next';
 
 export default function ParamSDXLConcatButton() {
   const shouldConcatSDXLStylePrompt = useAppSelector(
@@ -10,6 +11,7 @@ export default function ParamSDXLConcatButton() {
   );
 
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const handleShouldConcatPromptChange = () => {
     dispatch(setShouldConcatSDXLStylePrompt(!shouldConcatSDXLStylePrompt));
@@ -17,8 +19,8 @@ export default function ParamSDXLConcatButton() {
 
   return (
     <IAIIconButton
-      aria-label="Concatenate Prompt & Style"
-      tooltip="Concatenate Prompt & Style"
+      aria-label={t('sdxl.concatPromptStyle')}
+      tooltip={t('sdxl.concatPromptStyle')}
       variant="outline"
       isChecked={shouldConcatSDXLStylePrompt}
       onClick={handleShouldConcatPromptChange}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
index 66ad518655..5433c77b4e 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
@@ -37,7 +37,7 @@ const ParamSDXLImg2ImgDenoisingStrength = () => {
   return (
     <SubParametersWrapper>
       <IAISlider
-        label={`${t('parameters.denoisingStrength')}`}
+        label={t('sdxl.denoisingStrength')}
         step={0.01}
         min={0}
         max={1}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx
index ff877f5e9a..b5ff691c23 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx
@@ -6,6 +6,7 @@ import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
 import { createSelector } from '@reduxjs/toolkit';
 import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+import { useTranslation } from 'react-i18next';
 
 import { userInvoked } from 'app/store/actions';
 import IAITextarea from 'common/components/IAITextarea';
@@ -45,6 +46,7 @@ const ParamSDXLNegativeStyleConditioning = () => {
   const isReady = useIsReadyToInvoke();
   const promptRef = useRef<HTMLTextAreaElement>(null);
   const { isOpen, onClose, onOpen } = useDisclosure();
+  const { t } = useTranslation();
 
   const { prompt, activeTabName, shouldConcatSDXLStylePrompt } =
     useAppSelector(promptInputSelector);
@@ -143,7 +145,7 @@ const ParamSDXLNegativeStyleConditioning = () => {
             name="prompt"
             ref={promptRef}
             value={prompt}
-            placeholder="Negative Style Prompt"
+            placeholder={t('sdxl.negStylePrompt')}
             onChange={handleChangePrompt}
             onKeyDown={handleKeyDown}
             resize="vertical"
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx
index 8ff2f9f19e..b193e3adbd 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx
@@ -6,6 +6,7 @@ import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
 import { createSelector } from '@reduxjs/toolkit';
 import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+import { useTranslation } from 'react-i18next';
 
 import { userInvoked } from 'app/store/actions';
 import IAITextarea from 'common/components/IAITextarea';
@@ -45,6 +46,7 @@ const ParamSDXLPositiveStyleConditioning = () => {
   const isReady = useIsReadyToInvoke();
   const promptRef = useRef<HTMLTextAreaElement>(null);
   const { isOpen, onClose, onOpen } = useDisclosure();
+  const { t } = useTranslation();
 
   const { prompt, activeTabName, shouldConcatSDXLStylePrompt } =
     useAppSelector(promptInputSelector);
@@ -143,7 +145,7 @@ const ParamSDXLPositiveStyleConditioning = () => {
             name="prompt"
             ref={promptRef}
             value={prompt}
-            placeholder="Positive Style Prompt"
+            placeholder={t('sdxl.posStylePrompt')}
             onChange={handleChangePrompt}
             onKeyDown={handleKeyDown}
             resize="vertical"
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
index fcf4d0bcd3..6ac3034834 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
@@ -13,6 +13,7 @@ import ParamSDXLRefinerScheduler from './SDXLRefiner/ParamSDXLRefinerScheduler';
 import ParamSDXLRefinerStart from './SDXLRefiner/ParamSDXLRefinerStart';
 import ParamSDXLRefinerSteps from './SDXLRefiner/ParamSDXLRefinerSteps';
 import ParamUseSDXLRefiner from './SDXLRefiner/ParamUseSDXLRefiner';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -29,9 +30,10 @@ const selector = createSelector(
 
 const ParamSDXLRefinerCollapse = () => {
   const { activeLabel, shouldUseSliders } = useAppSelector(selector);
+  const { t } = useTranslation();
 
   return (
-    <IAICollapse label="Refiner" activeLabel={activeLabel}>
+    <IAICollapse label={t('sdxl.refiner')} activeLabel={activeLabel}>
       <Flex sx={{ gap: 2, flexDir: 'column' }}>
         <ParamUseSDXLRefiner />
         <ParamSDXLRefinerModelSelect />
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
index dd678ac0f7..fb16c01676 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
@@ -43,7 +43,7 @@ const ParamSDXLRefinerCFGScale = () => {
 
   return shouldUseSliders ? (
     <IAISlider
-      label={t('parameters.cfgScale')}
+      label={t('sdxl.cfgScale')}
       step={shift ? 0.1 : 0.5}
       min={1}
       max={20}
@@ -59,7 +59,7 @@ const ParamSDXLRefinerCFGScale = () => {
     />
   ) : (
     <IAINumberInput
-      label={t('parameters.cfgScale')}
+      label={t('sdxl.cfgScale')}
       step={0.5}
       min={1}
       max={200}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
index 522c6ba8a7..cb337740ed 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
@@ -14,6 +14,7 @@ import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
 import { REFINER_BASE_MODELS } from 'services/api/constants';
 import { useGetMainModelsQuery } from 'services/api/endpoints/models';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   stateSelector,
@@ -26,6 +27,7 @@ const ParamSDXLRefinerModelSelect = () => {
   const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
 
   const { model } = useAppSelector(selector);
+  const { t } = useTranslation();
 
   const { data: refinerModels, isLoading } =
     useGetMainModelsQuery(REFINER_BASE_MODELS);
@@ -81,8 +83,8 @@ const ParamSDXLRefinerModelSelect = () => {
 
   return isLoading ? (
     <IAIMantineSearchableSelect
-      label="Refiner Model"
-      placeholder="Loading..."
+      label={t('sdxl.refinermodel')}
+      placeholder={t('sdxl.loading')}
       disabled={true}
       data={[]}
     />
@@ -90,9 +92,11 @@ const ParamSDXLRefinerModelSelect = () => {
     <Flex w="100%" alignItems="center" gap={2}>
       <IAIMantineSearchableSelect
         tooltip={selectedModel?.description}
-        label="Refiner Model"
+        label={t('sdxl.refinermodel')}
         value={selectedModel?.id}
-        placeholder={data.length > 0 ? 'Select a model' : 'No models available'}
+        placeholder={
+          data.length > 0 ? t('sdxl.selectAModel') : t('sdxl.noModelsAvailable')
+        }
         data={data}
         error={data.length === 0}
         disabled={data.length === 0}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx
index 4dad3f519a..bc08d64e9f 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx
@@ -6,6 +6,7 @@ import IAISlider from 'common/components/IAISlider';
 import { setRefinerNegativeAestheticScore } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   [stateSelector],
@@ -27,6 +28,7 @@ const ParamSDXLRefinerNegativeAestheticScore = () => {
   const isRefinerAvailable = useIsRefinerAvailable();
 
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const handleChange = useCallback(
     (v: number) => dispatch(setRefinerNegativeAestheticScore(v)),
@@ -40,7 +42,7 @@ const ParamSDXLRefinerNegativeAestheticScore = () => {
 
   return (
     <IAISlider
-      label="Negative Aesthetic Score"
+      label={t('sdxl.negAestheticScore')}
       step={shift ? 0.1 : 0.5}
       min={1}
       max={10}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerPositiveAestheticScore.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerPositiveAestheticScore.tsx
index 47842629f6..8bb19cac5e 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerPositiveAestheticScore.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerPositiveAestheticScore.tsx
@@ -6,6 +6,7 @@ import IAISlider from 'common/components/IAISlider';
 import { setRefinerPositiveAestheticScore } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   [stateSelector],
@@ -27,6 +28,7 @@ const ParamSDXLRefinerPositiveAestheticScore = () => {
   const isRefinerAvailable = useIsRefinerAvailable();
 
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const handleChange = useCallback(
     (v: number) => dispatch(setRefinerPositiveAestheticScore(v)),
@@ -40,7 +42,7 @@ const ParamSDXLRefinerPositiveAestheticScore = () => {
 
   return (
     <IAISlider
-      label="Positive Aesthetic Score"
+      label={t('sdxl.posAestheticScore')}
       step={shift ? 0.1 : 0.5}
       min={1}
       max={10}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
index e14eb0b5f8..50400aef9f 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
@@ -53,7 +53,7 @@ const ParamSDXLRefinerScheduler = () => {
   return (
     <IAIMantineSearchableSelect
       w="100%"
-      label={t('parameters.scheduler')}
+      label={t('sdxl.scheduler')}
       value={refinerScheduler}
       data={data}
       onChange={handleChange}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
index 1432e272ca..a49e6a9c07 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
@@ -6,6 +6,7 @@ import IAISlider from 'common/components/IAISlider';
 import { setRefinerStart } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
+import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
   [stateSelector],
@@ -26,6 +27,7 @@ const ParamSDXLRefinerStart = () => {
     (v: number) => dispatch(setRefinerStart(v)),
     [dispatch]
   );
+  const { t } = useTranslation();
 
   const handleReset = useCallback(
     () => dispatch(setRefinerStart(0.8)),
@@ -34,7 +36,7 @@ const ParamSDXLRefinerStart = () => {
 
   return (
     <IAISlider
-      label="Refiner Start"
+      label={t('sdxl.refinerStart')}
       step={0.01}
       min={0}
       max={1}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
index 456cbb5d3a..0e6a8439db 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
@@ -42,7 +42,7 @@ const ParamSDXLRefinerSteps = () => {
 
   return shouldUseSliders ? (
     <IAISlider
-      label={t('parameters.steps')}
+      label={t('sdxl.steps')}
       min={1}
       max={100}
       step={1}
@@ -57,7 +57,7 @@ const ParamSDXLRefinerSteps = () => {
     />
   ) : (
     <IAINumberInput
-      label={t('parameters.steps')}
+      label={t('sdxl.steps')}
       min={1}
       max={500}
       step={1}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
index 1649f95e9a..4ed4511ba8 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
@@ -4,6 +4,7 @@ import IAISwitch from 'common/components/IAISwitch';
 import { setShouldUseSDXLRefiner } from 'features/sdxl/store/sdxlSlice';
 import { ChangeEvent } from 'react';
 import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
+import { useTranslation } from 'react-i18next';
 
 export default function ParamUseSDXLRefiner() {
   const shouldUseSDXLRefiner = useAppSelector(
@@ -12,6 +13,7 @@ export default function ParamUseSDXLRefiner() {
   const isRefinerAvailable = useIsRefinerAvailable();
 
   const dispatch = useAppDispatch();
+  const { t } = useTranslation();
 
   const handleUseSDXLRefinerChange = (e: ChangeEvent<HTMLInputElement>) => {
     dispatch(setShouldUseSDXLRefiner(e.target.checked));
@@ -19,7 +21,7 @@ export default function ParamUseSDXLRefiner() {
 
   return (
     <IAISwitch
-      label="Use Refiner"
+      label={t('sdxl.useRefiner')}
       isChecked={shouldUseSDXLRefiner}
       onChange={handleUseSDXLRefinerChange}
       isDisabled={!isRefinerAvailable}
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx
index 85dfb0ed8b..94a65a9122 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx
@@ -55,7 +55,9 @@ export default function AdvancedAddCheckpoint(
         dispatch(
           addToast(
             makeToast({
-              title: `Model Added: ${values.model_name}`,
+              title: t('modelManager.modelAdded', {
+                modelName: values.model_name,
+              }),
               status: 'success',
             })
           )
@@ -72,7 +74,7 @@ export default function AdvancedAddCheckpoint(
           dispatch(
             addToast(
               makeToast({
-                title: 'Model Add Failed',
+                title: t('toast.modelAddFailed'),
                 status: 'error',
               })
             )
@@ -90,15 +92,16 @@ export default function AdvancedAddCheckpoint(
     >
       <Flex flexDirection="column" gap={2}>
         <IAIMantineTextInput
-          label="Model Name"
+          label={t('modelManager.model')}
           required
           {...advancedAddCheckpointForm.getInputProps('model_name')}
         />
         <BaseModelSelect
+          label={t('modelManager.baseModel')}
           {...advancedAddCheckpointForm.getInputProps('base_model')}
         />
         <IAIMantineTextInput
-          label="Model Location"
+          label={t('modelManager.modelLocation')}
           required
           {...advancedAddCheckpointForm.getInputProps('path')}
           onBlur={(e) => {
@@ -114,14 +117,15 @@ export default function AdvancedAddCheckpoint(
           }}
         />
         <IAIMantineTextInput
-          label="Description"
+          label={t('modelManager.description')}
           {...advancedAddCheckpointForm.getInputProps('description')}
         />
         <IAIMantineTextInput
-          label="VAE Location"
+          label={t('modelManager.vaeLocation')}
           {...advancedAddCheckpointForm.getInputProps('vae')}
         />
         <ModelVariantSelect
+          label={t('modelManager.variant')}
           {...advancedAddCheckpointForm.getInputProps('variant')}
         />
         <Flex flexDirection="column" width="100%" gap={2}>
@@ -134,14 +138,14 @@ export default function AdvancedAddCheckpoint(
           ) : (
             <IAIMantineTextInput
               required
-              label="Custom Config File Location"
+              label={t('modelManager.customConfigFileLocation')}
               {...advancedAddCheckpointForm.getInputProps('config')}
             />
           )}
           <IAISimpleCheckbox
             isChecked={useCustomConfig}
             onChange={() => setUseCustomConfig(!useCustomConfig)}
-            label="Use Custom Config"
+            label={t('modelManager.useCustomConfig')}
           />
           <IAIButton mt={2} type="submit">
             {t('modelManager.addModel')}
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx
index 181a6f4234..7c22b4b2ac 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx
@@ -47,7 +47,9 @@ export default function AdvancedAddDiffusers(props: AdvancedAddDiffusersProps) {
         dispatch(
           addToast(
             makeToast({
-              title: `Model Added: ${values.model_name}`,
+              title: t('modelManager.modelAdded', {
+                modelName: values.model_name,
+              }),
               status: 'success',
             })
           )
@@ -63,7 +65,7 @@ export default function AdvancedAddDiffusers(props: AdvancedAddDiffusersProps) {
           dispatch(
             addToast(
               makeToast({
-                title: 'Model Add Failed',
+                title: t('toast.modelAddFailed'),
                 status: 'error',
               })
             )
@@ -82,16 +84,17 @@ export default function AdvancedAddDiffusers(props: AdvancedAddDiffusersProps) {
       <Flex flexDirection="column" gap={2}>
         <IAIMantineTextInput
           required
-          label="Model Name"
+          label={t('modelManager.model')}
           {...advancedAddDiffusersForm.getInputProps('model_name')}
         />
         <BaseModelSelect
+          label={t('modelManager.baseModel')}
           {...advancedAddDiffusersForm.getInputProps('base_model')}
         />
         <IAIMantineTextInput
           required
-          label="Model Location"
-          placeholder="Provide the path to a local folder where your Diffusers Model is stored"
+          label={t('modelManager.modelLocation')}
+          placeholder={t('modelManager.modelLocationValidationMsg')}
           {...advancedAddDiffusersForm.getInputProps('path')}
           onBlur={(e) => {
             if (advancedAddDiffusersForm.values['model_name'] === '') {
@@ -106,14 +109,15 @@ export default function AdvancedAddDiffusers(props: AdvancedAddDiffusersProps) {
           }}
         />
         <IAIMantineTextInput
-          label="Description"
+          label={t('modelManager.description')}
           {...advancedAddDiffusersForm.getInputProps('description')}
         />
         <IAIMantineTextInput
-          label="VAE Location"
+          label={t('modelManager.vaeLocation')}
           {...advancedAddDiffusersForm.getInputProps('vae')}
         />
         <ModelVariantSelect
+          label={t('modelManager.variant')}
           {...advancedAddDiffusersForm.getInputProps('variant')}
         />
         <IAIButton mt={2} type="submit">
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddModels.tsx
index a2a12b7f00..b78d0466c0 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddModels.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddModels.tsx
@@ -4,6 +4,7 @@ import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import { useState } from 'react';
 import AdvancedAddCheckpoint from './AdvancedAddCheckpoint';
 import AdvancedAddDiffusers from './AdvancedAddDiffusers';
+import { useTranslation } from 'react-i18next';
 
 export const advancedAddModeData: SelectItem[] = [
   { label: 'Diffusers', value: 'diffusers' },
@@ -16,10 +17,12 @@ export default function AdvancedAddModels() {
   const [advancedAddMode, setAdvancedAddMode] =
     useState<ManualAddMode>('diffusers');
 
+  const { t } = useTranslation();
+
   return (
     <Flex flexDirection="column" gap={4} width="100%">
       <IAIMantineSelect
-        label="Model Type"
+        label={t('modelManager.modelType')}
         value={advancedAddMode}
         data={advancedAddModeData}
         onChange={(v) => {
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx
index a44a747438..a2e6158515 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx
@@ -77,7 +77,7 @@ export default function FoundModelsList() {
             dispatch(
               addToast(
                 makeToast({
-                  title: 'Failed To Add Model',
+                  title: t('toast.modelAddFailed'),
                   status: 'error',
                 })
               )
@@ -85,7 +85,7 @@ export default function FoundModelsList() {
           }
         });
     },
-    [dispatch, importMainModel]
+    [dispatch, importMainModel, t]
   );
 
   const handleSearchFilter = useCallback((e: ChangeEvent<HTMLInputElement>) => {
@@ -137,13 +137,13 @@ export default function FoundModelsList() {
                 onClick={quickAddHandler}
                 isLoading={isLoading}
               >
-                Quick Add
+                {t('modelManager.quickAdd')}
               </IAIButton>
               <IAIButton
                 onClick={() => dispatch(setAdvancedAddScanModel(model))}
                 isLoading={isLoading}
               >
-                Advanced
+                {t('modelManager.advanced')}
               </IAIButton>
             </Flex>
           ) : (
@@ -189,7 +189,7 @@ export default function FoundModelsList() {
             },
           }}
         >
-          <Text variant="subtext">No Models Found</Text>
+          <Text variant="subtext">{t('modelManager.noModels')}</Text>
         </Flex>
       );
     }
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx
index 997341279d..615c76b71e 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx
@@ -10,12 +10,15 @@ import { setAdvancedAddScanModel } from '../../store/modelManagerSlice';
 import AdvancedAddCheckpoint from './AdvancedAddCheckpoint';
 import AdvancedAddDiffusers from './AdvancedAddDiffusers';
 import { ManualAddMode, advancedAddModeData } from './AdvancedAddModels';
+import { useTranslation } from 'react-i18next';
 
 export default function ScanAdvancedAddModels() {
   const advancedAddScanModel = useAppSelector(
     (state: RootState) => state.modelmanager.advancedAddScanModel
   );
 
+  const { t } = useTranslation();
+
   const [advancedAddMode, setAdvancedAddMode] =
     useState<ManualAddMode>('diffusers');
 
@@ -64,13 +67,13 @@ export default function ScanAdvancedAddModels() {
         </Text>
         <IAIIconButton
           icon={<FaTimes />}
-          aria-label="Close Advanced"
+          aria-label={t('modelManager.closeAdvanced')}
           onClick={() => dispatch(setAdvancedAddScanModel(null))}
           size="sm"
         />
       </Flex>
       <IAIMantineSelect
-        label="Model Type"
+        label={t('modelManager.modelType')}
         value={advancedAddMode}
         data={advancedAddModeData}
         onChange={(v) => {
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx
index cb0ce627a0..fb1a5167a6 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx
@@ -55,7 +55,7 @@ export default function SimpleAddModels() {
         dispatch(
           addToast(
             makeToast({
-              title: 'Model Added',
+              title: t('toast.modelAddSimple'),
               status: 'success',
             })
           )
@@ -84,13 +84,13 @@ export default function SimpleAddModels() {
     >
       <Flex flexDirection="column" width="100%" gap={4}>
         <IAIMantineTextInput
-          label="Model Location"
-          placeholder="Provide a path to a local Diffusers model, local checkpoint / safetensors model a HuggingFace Repo ID, or a checkpoint/diffusers model URL."
+          label={t('modelManager.modelLocation')}
+          placeholder={t('modelManager.simpleModelDesc')}
           w="100%"
           {...addModelForm.getInputProps('location')}
         />
         <IAIMantineSelect
-          label="Prediction Type (for Stable Diffusion 2.x Models only)"
+          label={t('modelManager.predictionType')}
           data={predictionSelectData}
           defaultValue="none"
           {...addModelForm.getInputProps('prediction_type')}

From 4e05dcfe2eff660c3f10ca6be6c58b53277af60c Mon Sep 17 00:00:00 2001
From: skunkworxdark <neil_hodgson@hotmail.com>
Date: Wed, 13 Sep 2023 09:06:38 +0100
Subject: [PATCH 113/265] Prompts from file support nodes (#3964)

* New classes to support the PromptsFromFileInvocation Class
- PromptPosNegOutput
- PromptSplitNegInvocation
- PromptJoinInvocation
- PromptReplaceInvocation

* - Added PromptsToFileInvocation,
- PromptSplitNegInvocation
  - now counts the bracket depth so ensures it cout the numbr of open and close brackets match.
  - checks for escaped [ ] so ignores them if escaped e.g \[
- PromptReplaceInvocation - now has a user regex. and no regex in made caseinsesitive

* Update prompt.py

created class PromptsToFileInvocationOutput and use it in PromptsToFileInvocation instead of BaseInvocationOutput

* Update prompt.py

* Added schema_extra title and tags  for PromptReplaceInvocation, PromptJoinInvocation,  PromptSplitNegInvocation and PromptsToFileInvocation

* Added PTFileds Collect and Expand

* update to nodes v1

* added ui_type to file_path for PromptToFile

* update params for the primitive types used, remove the ui_type filepath, promptsToFile now only accepts collections until a fix is available

* updated the parameters for the StringOutput primitive

* moved the prompt tools nodes out of the prompt.py into prompt_tools.py

* more rework for v1

* added github link

* updated to use "@invocation"

* updated tags

* Adde new nodes PromptStrength and PromptStrengthsCombine

* chore: black

* feat(nodes): add version to prompt nodes

* renamed nodes from prompt related to string related. Also moved them into a strings.py file.  Also moved and renamed the PromptsFromFileInvocation from prompt.py to strings.py.  The PTfileds still remain in the Prompt_tool.py for now.

* added , version="1.0.0" to the invocations

* removed the PTField related nodes and the prompt-tools.py file all new nodes now live in the

* formatted prompt.py and strings.py with Black and fixed silly mistake in the new StringSplitInvocation

* - Revert Prompt.py back to original
- Update strings.py to be only StringJoin, StringJoinThre, StringReplace, StringSplitNeg, StringSplit

* applied isort to imports

* fix(nodes): typos in `strings.py`

---------

Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Co-authored-by: Millun Atluri <Millu@users.noreply.github.com>
---
 invokeai/app/invocations/strings.py | 139 ++++++++++++++++++++++++++++
 1 file changed, 139 insertions(+)
 create mode 100644 invokeai/app/invocations/strings.py

diff --git a/invokeai/app/invocations/strings.py b/invokeai/app/invocations/strings.py
new file mode 100644
index 0000000000..3466206b37
--- /dev/null
+++ b/invokeai/app/invocations/strings.py
@@ -0,0 +1,139 @@
+# 2023 skunkworxdark (https://github.com/skunkworxdark)
+
+import re
+
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    InputField,
+    InvocationContext,
+    OutputField,
+    UIComponent,
+    invocation,
+    invocation_output,
+)
+from .primitives import StringOutput
+
+
+@invocation_output("string_pos_neg_output")
+class StringPosNegOutput(BaseInvocationOutput):
+    """Base class for invocations that output a positive and negative string"""
+
+    positive_string: str = OutputField(description="Positive string")
+    negative_string: str = OutputField(description="Negative string")
+
+
+@invocation(
+    "string_split_neg",
+    title="String Split Negative",
+    tags=["string", "split", "negative"],
+    category="string",
+    version="1.0.0",
+)
+class StringSplitNegInvocation(BaseInvocation):
+    """Splits string into two strings, inside [] goes into negative string everthing else goes into positive string. Each [ and ] character is replaced with a space"""
+
+    string: str = InputField(default="", description="String to split", ui_component=UIComponent.Textarea)
+
+    def invoke(self, context: InvocationContext) -> StringPosNegOutput:
+        p_string = ""
+        n_string = ""
+        brackets_depth = 0
+        escaped = False
+
+        for char in self.string or "":
+            if char == "[" and not escaped:
+                n_string += " "
+                brackets_depth += 1
+            elif char == "]" and not escaped:
+                brackets_depth -= 1
+                char = " "
+            elif brackets_depth > 0:
+                n_string += char
+            else:
+                p_string += char
+
+            # keep track of the escape char but only if it isn't escaped already
+            if char == "\\" and not escaped:
+                escaped = True
+            else:
+                escaped = False
+
+        return StringPosNegOutput(positive_string=p_string, negative_string=n_string)
+
+
+@invocation_output("string_2_output")
+class String2Output(BaseInvocationOutput):
+    """Base class for invocations that output two strings"""
+
+    string_1: str = OutputField(description="string 1")
+    string_2: str = OutputField(description="string 2")
+
+
+@invocation("string_split", title="String Split", tags=["string", "split"], category="string", version="1.0.0")
+class StringSplitInvocation(BaseInvocation):
+    """Splits string into two strings, based on the first occurance of the delimiter. The delimiter will be removed from the string"""
+
+    string: str = InputField(default="", description="String to split", ui_component=UIComponent.Textarea)
+    delimiter: str = InputField(
+        default="", description="Delimiter to spilt with. blank will split on the first whitespace"
+    )
+
+    def invoke(self, context: InvocationContext) -> String2Output:
+        result = self.string.split(self.delimiter, 1)
+        if len(result) == 2:
+            part1, part2 = result
+        else:
+            part1 = result[0]
+            part2 = ""
+
+        return String2Output(string_1=part1, string_2=part2)
+
+
+@invocation("string_join", title="String Join", tags=["string", "join"], category="string", version="1.0.0")
+class StringJoinInvocation(BaseInvocation):
+    """Joins string left to string right"""
+
+    string_left: str = InputField(default="", description="String Left", ui_component=UIComponent.Textarea)
+    string_right: str = InputField(default="", description="String Right", ui_component=UIComponent.Textarea)
+
+    def invoke(self, context: InvocationContext) -> StringOutput:
+        return StringOutput(value=((self.string_left or "") + (self.string_right or "")))
+
+
+@invocation("string_join_three", title="String Join Three", tags=["string", "join"], category="string", version="1.0.0")
+class StringJoinThreeInvocation(BaseInvocation):
+    """Joins string left to string middle to string right"""
+
+    string_left: str = InputField(default="", description="String Left", ui_component=UIComponent.Textarea)
+    string_middle: str = InputField(default="", description="String Middle", ui_component=UIComponent.Textarea)
+    string_right: str = InputField(default="", description="String Right", ui_component=UIComponent.Textarea)
+
+    def invoke(self, context: InvocationContext) -> StringOutput:
+        return StringOutput(value=((self.string_left or "") + (self.string_middle or "") + (self.string_right or "")))
+
+
+@invocation(
+    "string_replace", title="String Replace", tags=["string", "replace", "regex"], category="string", version="1.0.0"
+)
+class StringReplaceInvocation(BaseInvocation):
+    """Replaces the search string with the replace string"""
+
+    string: str = InputField(default="", description="String to work on", ui_component=UIComponent.Textarea)
+    search_string: str = InputField(default="", description="String to search for", ui_component=UIComponent.Textarea)
+    replace_string: str = InputField(
+        default="", description="String to replace the search", ui_component=UIComponent.Textarea
+    )
+    use_regex: bool = InputField(
+        default=False, description="Use search string as a regex expression (non regex is case insensitive)"
+    )
+
+    def invoke(self, context: InvocationContext) -> StringOutput:
+        pattern = self.search_string or ""
+        new_string = self.string or ""
+        if len(pattern) > 0:
+            if not self.use_regex:
+                # None regex so make case insensitve
+                pattern = "(?i)" + re.escape(pattern)
+            new_string = re.sub(pattern, (self.replace_string or ""), new_string)
+        return StringOutput(value=new_string)

From 0f0366f1f31d22b3b48b4e9f94c62f20f3b29177 Mon Sep 17 00:00:00 2001
From: skunkworxdark <neil_hodgson@hotmail.com>
Date: Wed, 13 Sep 2023 09:26:41 +0100
Subject: [PATCH 114/265] Update collections.py (#4513)

* Update collections.py

RangeOfSizeInvocation was not taking step into account when generating the end point of the range

* - updated the node description to refelect this mod
- added a gt=0 constraint to ensure only a positive size of the range
- moved the + 1 to be on the size. To ensure the range is the requested size in cases where the step is negative
- formatted with Black

* Removed +1 from the range calculation

---------

Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
---
 invokeai/app/invocations/collections.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/invokeai/app/invocations/collections.py b/invokeai/app/invocations/collections.py
index 2814a9c3ca..702eb99831 100644
--- a/invokeai/app/invocations/collections.py
+++ b/invokeai/app/invocations/collections.py
@@ -38,14 +38,16 @@ class RangeInvocation(BaseInvocation):
     version="1.0.0",
 )
 class RangeOfSizeInvocation(BaseInvocation):
-    """Creates a range from start to start + size with step"""
+    """Creates a range from start to start + (size * step) incremented by step"""
 
     start: int = InputField(default=0, description="The start of the range")
-    size: int = InputField(default=1, description="The number of values")
+    size: int = InputField(default=1, gt=0, description="The number of values")
     step: int = InputField(default=1, description="The step of the range")
 
     def invoke(self, context: InvocationContext) -> IntegerCollectionOutput:
-        return IntegerCollectionOutput(collection=list(range(self.start, self.start + self.size, self.step)))
+        return IntegerCollectionOutput(
+            collection=list(range(self.start, self.start + (self.step * self.size), self.step))
+        )
 
 
 @invocation(

From 3920d5c90d4a5f16cf576438bd2fef131ffdf0cd Mon Sep 17 00:00:00 2001
From: mickr777 <mrandall7@bigpond.com>
Date: Wed, 13 Sep 2023 21:15:36 +1000
Subject: [PATCH 115/265] Missed Translations

---
 invokeai/frontend/web/public/locales/en.json  | 129 +++++++++++++-
 .../web/src/features/nodes/types/constants.ts | 161 +++++++++---------
 .../web/src/features/nodes/types/types.ts     |  25 ++-
 .../src/features/nodes/util/buildWorkflow.ts  |   5 +-
 .../getMetadataAndWorkflowFromImageBlob.ts    |   5 +-
 .../util/graphBuilders/buildCanvasGraph.ts    |   7 +-
 .../buildCanvasImageToImageGraph.ts           |   5 +-
 .../graphBuilders/buildCanvasInpaintGraph.ts  |   5 +-
 .../graphBuilders/buildCanvasOutpaintGraph.ts |   5 +-
 .../buildCanvasSDXLImageToImageGraph.ts       |   5 +-
 .../buildCanvasSDXLInpaintGraph.ts            |   5 +-
 .../buildCanvasSDXLOutpaintGraph.ts           |   5 +-
 .../buildCanvasSDXLTextToImageGraph.ts        |   5 +-
 .../buildCanvasTextToImageGraph.ts            |   5 +-
 .../buildLinearImageToImageGraph.ts           |   9 +-
 .../buildLinearSDXLImageToImageGraph.ts       |   9 +-
 .../buildLinearSDXLTextToImageGraph.ts        |   5 +-
 .../buildLinearTextToImageGraph.ts            |   5 +-
 .../src/features/nodes/util/parseSchema.ts    |  26 +--
 .../features/nodes/util/validateWorkflow.ts   |  47 +++--
 20 files changed, 323 insertions(+), 150 deletions(-)

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index c1983c6a53..7faa10a889 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -619,56 +619,175 @@
         "addNodeToolTip": "Add Node (Shift+A, Space)",
         "animatedEdges": "Animated Edges",
         "animatedEdgesHelp": "Animate selected edges and edges connected to selected nodes",
+        "boolean": "Booleans",
+        "booleanCollection": "Boolean Collection",
+        "booleanCollectionDescription": "A collection of booleans.",
+        "booleanDescription": "Booleans are true or false.",
+        "booleanPolymorphic": "Boolean Polymorphic",
+        "booleanPolymorphicDescription": "A collection of booleans.",
         "cannotConnectInputToInput": "Cannot connect input to input",
         "cannotConnectOutputToOutput": "Cannot connect output to output",
         "cannotConnectToSelf": "Cannot connect to self",
+        "clipField": "Clip",
+        "clipFieldDescription": "Tokenizer and text_encoder submodels.",
+        "collection": "Collection",
+        "collectionDescription": "TODO",
+        "collectionItem": "Collection Item",
+        "collectionItemDescription": "TODO",
         "colorCodeEdges": "Color-Code Edges",
         "colorCodeEdgesHelp": "Color-code edges according to their connected fields",
+        "colorCollectionDescription": "A collection of colors.",
+        "colorField": "Color",
+        "colorFieldDescription": "A RGBA color.",
+        "colorPolymorphic": "Color Polymorphic",
+        "colorPolymorphicDescription": "A collection of colors.",
+        "conditioningCollection": "Conditioning Collection",
+        "conditioningCollectionDescription": "Conditioning may be passed between nodes.",
+        "conditioningField": "Conditioning",
+        "conditioningFieldDescription": "Conditioning may be passed between nodes.",
+        "conditioningPolymorphic": "Conditioning Polymorphic",
+        "conditioningPolymorphicDescription": "Conditioning may be passed between nodes.",
         "connectionWouldCreateCycle": "Connection would create a cycle",
+        "controlCollection": "Control Collection",
+        "controlCollectionDescription": "Control info passed between nodes.",
+        "controlField": "Control",
+        "controlFieldDescription": "Control info passed between nodes.",
         "currentImage": "Current Image",
         "currentImageDescription": "Displays the current image in the Node Editor",
+        "denoiseMaskField": "Denoise Mask",
+        "denoiseMaskFieldDescription": "Denoise Mask may be passed between nodes",
+        "doesNotExist": "does not exist",
         "downloadWorkflow": "Download Workflow JSON",
+        "edge": "Edge",
+        "enum": "Enum",
+        "enumDescription": "Enums are values that may be one of a number of options.",
+        "executionStateCompleted": "Completed",
+        "executionStateError": "Error",
+        "executionStateInProgress": "In Progress",
         "fieldTypesMustMatch": "Field types must match",
         "fitViewportNodes": "Fit View",
+        "float": "Float",
+        "floatCollection": "Float Collection",
+        "floatCollectionDescription": "A collection of floats.",
+        "floatDescription": "Floats are numbers with a decimal point.",
+        "floatPolymorphic": "Float Polymorphic",
+        "floatPolymorphicDescription": "A collection of floats.",
         "fullyContainNodes": "Fully Contain Nodes to Select",
         "fullyContainNodesHelp": "Nodes must be fully inside the selection box to be selected",
         "hideGraphNodes": "Hide Graph Overlay",
         "hideLegendNodes": "Hide Field Type Legend",
         "hideMinimapnodes": "Hide MiniMap",
+        "imageCollection": "Image Collection",
+        "imageCollectionDescription": "A collection of images.",
+        "imageField": "Image",
+        "imageFieldDescription": "Images may be passed between nodes.",
+        "imagePolymorphic": "Image Polymorphic",
+        "imagePolymorphicDescription": "A collection of images.",
+        "inputFields": "Input Feilds",
         "inputMayOnlyHaveOneConnection": "Input may only have one connection",
+        "inputNode": "Input Node",
+        "integer": "Integer",
+        "integerCollection": "Integer Collection",
+        "integerCollectionDescription": "A collection of integers.",
+        "integerDescription": "Integers are whole numbers, without a decimal point.",
+        "integerPolymorphic": "Integer Polymorphic",
+        "integerPolymorphicDescription": "A collection of integers.",
+        "invalidOutputSchema": "Invalid output schema",
+        "latentsCollection": "Latents Collection",
+        "latentsCollectionDescription": "Latents may be passed between nodes.",
+        "latentsField": "Latents",
+        "latentsFieldDescription": "Latents may be passed between nodes.",
+        "latentsPolymorphic": "Latents Polymorphic",
+        "latentsPolymorphicDescription": "Latents may be passed between nodes.",
         "loadingNodes": "Loading Nodes...",
         "loadWorkflow": "Load Workflow",
+        "loRAModelField": "LoRA",
+        "loRAModelFieldDescription": "TODO",
+        "mainModelField": "Model",
+        "mainModelFieldDescription": "TODO",
+        "maybeIncompatible": "May be Incompatible With Installed",
+        "mismatchedVersion": "Has Mismatched Version",
+        "missingCanvaInitImage": "Missing canvas init image",
+        "missingCanvaInitMaskImages": "Missing canvas init and mask images",
+        "missingTemplate": "Missing Template",
         "noConnectionData": "No connection data",
         "noConnectionInProgress": "No connection in progress",
+        "node": "Node",
         "nodeOutputs": "Node Outputs",
         "nodeSearch": "Search for nodes",
         "nodeTemplate": "Node Template",
+        "nodeType": "Node Type",
         "noFieldsLinearview": "No fields added to Linear View",
         "noFieldType": "No field type",
+        "noImageFoundState": "No initial image found in state",
         "noMatchingNodes": "No matching nodes",
+        "noModelFoundState": "No model found in state",
         "noNodeSelected": "No node selected",
         "noOpacity": "Node Opacity",
         "noOutputRecorded": "No outputs recorded",
+        "noOutputSchemaName": "No output schema name found in ref object",
         "notes": "Notes",
         "notesDescription": "Add notes about your workflow",
+        "oNNXModelField": "ONNX Model",
+        "oNNXModelFieldDescription": "ONNX model field.",
+        "outputFields": "Output Feilds",
+        "outputNode": "Output node",
+        "outputSchemaNotFound": "Output schema not found",
         "pickOne": "Pick One",
+        "problemReadingMetadata": "Problem reading metadata from image",
+        "problemReadingWorkflow": "Problem reading workflow from image",
         "problemSettingTitle": "Problem Setting Title",
         "reloadNodeTemplates": "Reload Node Templates",
         "removeLinearView": "Remove from Linear View",
         "resetWorkflow": "Reset Workflow",
         "resetWorkflowDesc": "Are you sure you want to reset this workflow?",
         "resetWorkflowDesc2": "Resetting the workflow will clear all nodes, edges and workflow details.",
+        "scheduler": "Scheduler",
+        "schedulerDescription": "TODO",
+        "sDXLMainModelField": "SDXL Model",
+        "sDXLMainModelFieldDescription": "SDXL model field.",
+        "sDXLRefinerModelField": "Refiner Model",
+        "sDXLRefinerModelFieldDescription": "TODO",
         "showGraphNodes": "Show Graph Overlay",
         "showLegendNodes": "Show Field Type Legend",
         "showMinimapnodes": "Show MiniMap",
+        "skipped": "Skipped",
+        "skippedReservedInput": "Skipped reserved input field",
+        "skippedReservedOutput": "Skipped reserved output field",
+        "skippingInputNoTemplate": "Skipping input field with no template",
+        "skippingReservedFieldType": "Skipping reserved field type",
+        "skippingUnknownInputType": "Skipping unknown input field type",
+        "skippingUnknownOutputType": "Skipping unknown output field type",
         "snapToGrid": "Snap to Grid",
         "snapToGridHelp": "Snap nodes to grid when moved",
+        "sourceNode": "Source node",
+        "string": "String",
+        "stringCollection": "String Collection",
+        "stringCollectionDescription": "A collection of strings.",
+        "stringDescription": "Strings are text.",
+        "stringPolymorphic": "String Polymorphic",
+        "stringPolymorphicDescription": "A collection of strings.",
         "unableToLoadWorkflow": "Unable to Validate Workflow",
+        "unableToParseEdge": "Unable to parse edge",
+        "unableToParseNode": "Unable to parse node",
         "unableToValidateWorkflow": "Unable to Validate Workflow",
+        "uNetField": "UNet",
+        "uNetFieldDescription": "UNet submodel.",
+        "unhandledInputProperty": "Unhandled input property",
+        "unhandledOutputProperty": "Unhandled output property",
         "unknownField": "Unknown Field",
+        "unknownNode": "Unknown Node",
+        "unknownTemplate": "Unknown Template",
         "unkownInvocation": "Unknown Invocation type",
+        "updateApp": "Update App",
+        "vaeField": "Vae",
+        "vaeFieldDescription": "Vae submodel.",
+        "vaeModelField": "VAE",
+        "vaeModelFieldDescription": "TODO",
         "validateConnections": "Validate Connections and Graph",
         "validateConnectionsHelp": "Prevent invalid connections from being made, and invalid graphs from being invoked",
+        "version": "Version",
+        "versionUnknown": " Version Unknown",
         "workflow": "Workflow",
         "workflowAuthor": "Author",
         "workflowContact": "Contact",
@@ -680,15 +799,7 @@
         "workflowValidation": "Workflow Validation Error",
         "workflowVersion": "Version",
         "zoomInNodes": "Zoom In",
-        "zoomOutNodes": "Zoom Out",
-        "executionStateError": "Error",
-        "executionStateCompleted": "Completed",
-        "executionStateInProgress": "In Progress",
-        "versionUnknown": " Version Unknown",
-        "unknownNode": "Unknown Node",
-        "version": "Version",
-        "updateApp": "Update App",
-        "unknownTemplate": "Unknown Template"
+        "zoomOutNodes": "Zoom Out"
     },
     "parameters": {
         "aspectRatio": "Ratio",
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index a12c1fbddc..11b74cd002 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -1,4 +1,5 @@
 import { FieldType, FieldUIConfig } from './types';
+import i18n from 'i18next';
 
 export const HANDLE_TOOLTIP_OPEN_DELAY = 500;
 export const COLOR_TOKEN_VALUE = 500;
@@ -102,73 +103,73 @@ export const isPolymorphicItemType = (
 export const FIELDS: Record<FieldType, FieldUIConfig> = {
   boolean: {
     color: 'green.500',
-    description: 'Booleans are true or false.',
-    title: 'Boolean',
+    description: i18n.t('nodes.booleanDescription'),
+    title: i18n.t('nodes.boolean'),
   },
   BooleanCollection: {
     color: 'green.500',
-    description: 'A collection of booleans.',
-    title: 'Boolean Collection',
+    description: i18n.t('nodes.booleanCollectionDescription'),
+    title: i18n.t('nodes.booleanCollection'),
   },
   BooleanPolymorphic: {
     color: 'green.500',
-    description: 'A collection of booleans.',
-    title: 'Boolean Polymorphic',
+    description: i18n.t('nodes.booleanPolymorphicDescription'),
+    title: i18n.t('nodes.booleanPolymorphic'),
   },
   ClipField: {
     color: 'green.500',
-    description: 'Tokenizer and text_encoder submodels.',
-    title: 'Clip',
+    description: i18n.t('nodes.clipFieldDescription'),
+    title: i18n.t('nodes.clipField'),
   },
   Collection: {
     color: 'base.500',
-    description: 'TODO',
-    title: 'Collection',
+    description: i18n.t('nodes.collectionDescription'),
+    title: i18n.t('nodes.collection'),
   },
   CollectionItem: {
     color: 'base.500',
-    description: 'TODO',
-    title: 'Collection Item',
+    description: i18n.t('nodes.collectionItemDescription'),
+    title: i18n.t('nodes.collectionItem'),
   },
   ColorCollection: {
     color: 'pink.300',
-    description: 'A collection of colors.',
-    title: 'Color Collection',
+    description: i18n.t('nodes.colorCollectionDescription'),
+    title: i18n.t('nodes.colorCollection'),
   },
   ColorField: {
     color: 'pink.300',
-    description: 'A RGBA color.',
-    title: 'Color',
+    description: i18n.t('nodes.colorFieldDescription'),
+    title: i18n.t('nodes.colorField'),
   },
   ColorPolymorphic: {
     color: 'pink.300',
-    description: 'A collection of colors.',
-    title: 'Color Polymorphic',
+    description: i18n.t('nodes.colorPolymorphicDescription'),
+    title: i18n.t('nodes.colorPolymorphic'),
   },
   ConditioningCollection: {
     color: 'cyan.500',
-    description: 'Conditioning may be passed between nodes.',
-    title: 'Conditioning Collection',
+    description: i18n.t('nodes.conditioningCollectionDescription'),
+    title: i18n.t('nodes.conditioningCollection'),
   },
   ConditioningField: {
     color: 'cyan.500',
-    description: 'Conditioning may be passed between nodes.',
-    title: 'Conditioning',
+    description: i18n.t('nodes.conditioningFieldDescription'),
+    title: i18n.t('nodes.conditioningField'),
   },
   ConditioningPolymorphic: {
     color: 'cyan.500',
-    description: 'Conditioning may be passed between nodes.',
-    title: 'Conditioning Polymorphic',
+    description: i18n.t('nodes.conditioningPolymorphicDescription'),
+    title: i18n.t('nodes.conditioningPolymorphic'),
   },
   ControlCollection: {
     color: 'teal.500',
-    description: 'Control info passed between nodes.',
-    title: 'Control Collection',
+    description: i18n.t('nodes.controlCollectionDescription'),
+    title: i18n.t('nodes.controlCollection'),
   },
   ControlField: {
     color: 'teal.500',
-    description: 'Control info passed between nodes.',
-    title: 'Control',
+    description: i18n.t('nodes.controlFieldDescription'),
+    title: i18n.t('nodes.controlField'),
   },
   ControlNetModelField: {
     color: 'teal.500',
@@ -182,132 +183,132 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
   },
   DenoiseMaskField: {
     color: 'blue.300',
-    description: 'Denoise Mask may be passed between nodes',
-    title: 'Denoise Mask',
+    description: i18n.t('nodes.denoiseMaskFieldDescription'),
+    title: i18n.t('nodes.denoiseMaskField'),
   },
   enum: {
     color: 'blue.500',
-    description: 'Enums are values that may be one of a number of options.',
-    title: 'Enum',
+    description: i18n.t('nodes.enumDescription'),
+    title: i18n.t('nodes.enum'),
   },
   float: {
     color: 'orange.500',
-    description: 'Floats are numbers with a decimal point.',
-    title: 'Float',
+    description: i18n.t('nodes.floatDescription'),
+    title: i18n.t('nodes.float'),
   },
   FloatCollection: {
     color: 'orange.500',
-    description: 'A collection of floats.',
-    title: 'Float Collection',
+    description: i18n.t('nodes.floatCollectionDescription'),
+    title: i18n.t('nodes.floatCollection'),
   },
   FloatPolymorphic: {
     color: 'orange.500',
-    description: 'A collection of floats.',
-    title: 'Float Polymorphic',
+    description: i18n.t('nodes.floatPolymorphicDescription'),
+    title: i18n.t('nodes.floatPolymorphic'),
   },
   ImageCollection: {
     color: 'purple.500',
-    description: 'A collection of images.',
-    title: 'Image Collection',
+    description: i18n.t('nodes.imageCollectionDescription'),
+    title: i18n.t('nodes.imageCollection'),
   },
   ImageField: {
     color: 'purple.500',
-    description: 'Images may be passed between nodes.',
-    title: 'Image',
+    description: i18n.t('nodes.imageFieldDescription'),
+    title: i18n.t('nodes.imageField'),
   },
   ImagePolymorphic: {
     color: 'purple.500',
-    description: 'A collection of images.',
-    title: 'Image Polymorphic',
+    description: i18n.t('nodes.imagePolymorphicDescription'),
+    title: i18n.t('nodes.imagePolymorphic'),
   },
   integer: {
     color: 'red.500',
-    description: 'Integers are whole numbers, without a decimal point.',
-    title: 'Integer',
+    description: i18n.t('nodes.integerDescription'),
+    title: i18n.t('nodes.integer'),
   },
   IntegerCollection: {
     color: 'red.500',
-    description: 'A collection of integers.',
-    title: 'Integer Collection',
+    description: i18n.t('nodes.integerCollectionDescription'),
+    title: i18n.t('nodes.integerCollection'),
   },
   IntegerPolymorphic: {
     color: 'red.500',
-    description: 'A collection of integers.',
-    title: 'Integer Polymorphic',
+    description: i18n.t('nodes.integerPolymorphicDescription'),
+    title: i18n.t('nodes.integerPolymorphic'),
   },
   LatentsCollection: {
     color: 'pink.500',
-    description: 'Latents may be passed between nodes.',
-    title: 'Latents Collection',
+    description: i18n.t('nodes.latentsCollectionDescription'),
+    title: i18n.t('nodes.latentsCollection'),
   },
   LatentsField: {
     color: 'pink.500',
-    description: 'Latents may be passed between nodes.',
-    title: 'Latents',
+    description: i18n.t('nodes.latentsFieldDescription'),
+    title: i18n.t('nodes.latentsField'),
   },
   LatentsPolymorphic: {
     color: 'pink.500',
-    description: 'Latents may be passed between nodes.',
-    title: 'Latents Polymorphic',
+    description: i18n.t('nodes.latentsPolymorphicDescription'),
+    title: i18n.t('nodes.latentsPolymorphic'),
   },
   LoRAModelField: {
     color: 'teal.500',
-    description: 'TODO',
-    title: 'LoRA',
+    description: i18n.t('nodes.loRAModelFieldDescription'),
+    title: i18n.t('nodes.loRAModelField'),
   },
   MainModelField: {
     color: 'teal.500',
-    description: 'TODO',
-    title: 'Model',
+    description: i18n.t('nodes.mainModelFieldDescription'),
+    title: i18n.t('nodes.mainModelField'),
   },
   ONNXModelField: {
     color: 'teal.500',
-    description: 'ONNX model field.',
-    title: 'ONNX Model',
+    description: i18n.t('nodes.oNNXModelFieldDescription'),
+    title: i18n.t('nodes.oNNXModelField'),
   },
   Scheduler: {
     color: 'base.500',
-    description: 'TODO',
-    title: 'Scheduler',
+    description: i18n.t('nodes.schedulerDescription'),
+    title: i18n.t('nodes.scheduler'),
   },
   SDXLMainModelField: {
     color: 'teal.500',
-    description: 'SDXL model field.',
-    title: 'SDXL Model',
+    description: i18n.t('nodes.sDXLMainModelFieldDescription'),
+    title: i18n.t('nodes.sDXLMainModelField'),
   },
   SDXLRefinerModelField: {
     color: 'teal.500',
-    description: 'TODO',
-    title: 'Refiner Model',
+    description: i18n.t('nodes.sDXLRefinerModelFieldDescription'),
+    title: i18n.t('nodes.sDXLRefinerModelField'),
   },
   string: {
     color: 'yellow.500',
-    description: 'Strings are text.',
-    title: 'String',
+    description: i18n.t('nodes.stringDescription'),
+    title: i18n.t('nodes.string'),
   },
   StringCollection: {
     color: 'yellow.500',
-    description: 'A collection of strings.',
-    title: 'String Collection',
+    description: i18n.t('nodes.stringCollectionDescription'),
+    title: i18n.t('nodes.stringCollection'),
   },
   StringPolymorphic: {
     color: 'yellow.500',
-    description: 'A collection of strings.',
-    title: 'String Polymorphic',
+    description: i18n.t('nodes.stringPolymorphicDescription'),
+    title: i18n.t('nodes.stringPolymorphic'),
   },
   UNetField: {
     color: 'red.500',
-    description: 'UNet submodel.',
-    title: 'UNet',
+    description: i18n.t('nodes.uNetFieldDescription'),
+    title: i18n.t('nodes.uNetField'),
   },
   VaeField: {
     color: 'blue.500',
-    description: 'Vae submodel.',
-    title: 'Vae',
+    description: i18n.t('nodes.vaeFieldDescription'),
+    title: i18n.t('nodes.vaeField'),
   },
   VaeModelField: {
     color: 'teal.500',
-    description: 'TODO',
-    title: 'VAE',
+    description: i18n.t('nodes.vaeModelFieldDescription'),
+    title: i18n.t('nodes.vaeModelField'),
   },
 };
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index b1ad6a7b96..a4b71457f7 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -20,6 +20,7 @@ import {
 import { O } from 'ts-toolbelt';
 import { JsonObject } from 'type-fest';
 import { z } from 'zod';
+import i18n from 'i18next';
 
 export type NonNullableGraph = O.Required<Graph, 'nodes' | 'edges'>;
 
@@ -1258,23 +1259,35 @@ export const zValidatedWorkflow = zWorkflow.transform((workflow) => {
     const targetNode = keyedNodes[edge.target];
     const issues: string[] = [];
     if (!sourceNode) {
-      issues.push(`Output node ${edge.source} does not exist`);
+      issues.push(
+        `${i18n.t('nodes.outputNode')} ${edge.source} ${i18n.t(
+          'nodes.doesNotExist'
+        )}`
+      );
     } else if (
       edge.type === 'default' &&
       !(edge.sourceHandle in sourceNode.data.outputs)
     ) {
       issues.push(
-        `Output field "${edge.source}.${edge.sourceHandle}" does not exist`
+        `${i18n.t('nodes.outputField')}"${edge.source}.${
+          edge.sourceHandle
+        }" ${i18n.t('nodes.doesNotExist')}`
       );
     }
     if (!targetNode) {
-      issues.push(`Input node ${edge.target} does not exist`);
+      issues.push(
+        `${i18n.t('nodes.inputNode')} ${edge.target} ${i18n.t(
+          'nodes.doesNotExist'
+        )}`
+      );
     } else if (
       edge.type === 'default' &&
       !(edge.targetHandle in targetNode.data.inputs)
     ) {
       issues.push(
-        `Input field "${edge.target}.${edge.targetHandle}" does not exist`
+        `${i18n.t('nodes.inputField')} "${edge.target}.${
+          edge.targetHandle
+        }" ${i18n.t('nodes.doesNotExist')}`
       );
     }
     if (issues.length) {
@@ -1282,7 +1295,9 @@ export const zValidatedWorkflow = zWorkflow.transform((workflow) => {
       const src = edge.type === 'default' ? edge.sourceHandle : edge.source;
       const tgt = edge.type === 'default' ? edge.targetHandle : edge.target;
       warnings.push({
-        message: `Edge "${src} -> ${tgt}" skipped`,
+        message: `${i18n.t('nodes.edge')} "${src} -> ${tgt}" ${i18n.t(
+          'nodes.skipped'
+        )}`,
         issues,
         data: edge,
       });
diff --git a/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts b/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts
index b0ade42a9f..43ee75b735 100644
--- a/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts
@@ -3,6 +3,7 @@ import { NodesState } from '../store/types';
 import { Workflow, zWorkflowEdge, zWorkflowNode } from '../types/types';
 import { fromZodError } from 'zod-validation-error';
 import { parseify } from 'common/util/serialize';
+import i18n from 'i18next';
 
 export const buildWorkflow = (nodesState: NodesState): Workflow => {
   const { workflow: workflowMeta, nodes, edges } = nodesState;
@@ -20,7 +21,7 @@ export const buildWorkflow = (nodesState: NodesState): Workflow => {
       const result = zWorkflowNode.safeParse(node);
       if (!result.success) {
         const { message } = fromZodError(result.error, {
-          prefix: 'Unable to parse node',
+          prefix: i18n.t('nodes.unableToParseNode'),
         });
         logger('nodes').warn({ node: parseify(node) }, message);
         return;
@@ -32,7 +33,7 @@ export const buildWorkflow = (nodesState: NodesState): Workflow => {
     const result = zWorkflowEdge.safeParse(edge);
     if (!result.success) {
       const { message } = fromZodError(result.error, {
-        prefix: 'Unable to parse edge',
+        prefix: i18n.t('nodes.unableToParseEdge'),
       });
       logger('nodes').warn({ edge: parseify(edge) }, message);
       return;
diff --git a/invokeai/frontend/web/src/features/nodes/util/getMetadataAndWorkflowFromImageBlob.ts b/invokeai/frontend/web/src/features/nodes/util/getMetadataAndWorkflowFromImageBlob.ts
index b46a701757..6f850e7d29 100644
--- a/invokeai/frontend/web/src/features/nodes/util/getMetadataAndWorkflowFromImageBlob.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/getMetadataAndWorkflowFromImageBlob.ts
@@ -7,6 +7,7 @@ import {
   zWorkflow,
 } from 'features/nodes/types/types';
 import { get } from 'lodash-es';
+import i18n from 'i18next';
 
 export const getMetadataAndWorkflowFromImageBlob = async (
   image: Blob
@@ -23,7 +24,7 @@ export const getMetadataAndWorkflowFromImageBlob = async (
     } else {
       logger('system').error(
         { error: parseify(metadataResult.error) },
-        'Problem reading metadata from image'
+        i18n.t('nodes.problemReadingMetadata')
       );
     }
   }
@@ -36,7 +37,7 @@ export const getMetadataAndWorkflowFromImageBlob = async (
     } else {
       logger('system').error(
         { error: parseify(workflowResult.error) },
-        'Problem reading workflow from image'
+        i18n.t('nodes.problemReadingWorkflow')
       );
     }
   }
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
index d268a3990d..bfed5f417a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
@@ -9,6 +9,7 @@ import { buildCanvasSDXLInpaintGraph } from './buildCanvasSDXLInpaintGraph';
 import { buildCanvasSDXLOutpaintGraph } from './buildCanvasSDXLOutpaintGraph';
 import { buildCanvasSDXLTextToImageGraph } from './buildCanvasSDXLTextToImageGraph';
 import { buildCanvasTextToImageGraph } from './buildCanvasTextToImageGraph';
+import i18n from 'i18next';
 
 export const buildCanvasGraph = (
   state: RootState,
@@ -29,7 +30,7 @@ export const buildCanvasGraph = (
     }
   } else if (generationMode === 'img2img') {
     if (!canvasInitImage) {
-      throw new Error('Missing canvas init image');
+      throw new Error(i18n.t('nodes.missingCanvaInitImage'));
     }
     if (
       state.generation.model &&
@@ -41,7 +42,7 @@ export const buildCanvasGraph = (
     }
   } else if (generationMode === 'inpaint') {
     if (!canvasInitImage || !canvasMaskImage) {
-      throw new Error('Missing canvas init and mask images');
+      throw new Error(i18n.t('nodes.missingCanvaInitMaskImages'));
     }
     if (
       state.generation.model &&
@@ -57,7 +58,7 @@ export const buildCanvasGraph = (
     }
   } else {
     if (!canvasInitImage) {
-      throw new Error('Missing canvas init image');
+      throw new Error(i18n.t('nodes.missingCanvaInitImage'));
     }
     if (
       state.generation.model &&
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index e750b40220..b27ffe7149 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -25,6 +25,7 @@ import {
   POSITIVE_CONDITIONING,
   SEAMLESS,
 } from './constants';
+import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Image to Image graph.
@@ -66,8 +67,8 @@ export const buildCanvasImageToImageGraph = (
   );
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noModelFoundState'));
+    throw new Error(i18n.t('nodes.noModelFoundState'));
   }
 
   let modelLoaderNodeId = MAIN_MODEL_LOADER;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 58a7726410..3a0db8c55a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -44,6 +44,7 @@ import {
   RANGE_OF_SIZE,
   SEAMLESS,
 } from './constants';
+import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Inpaint graph.
@@ -79,8 +80,8 @@ export const buildCanvasInpaintGraph = (
   } = state.generation;
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noImageFoundState'));
+    throw new Error(i18n.t('nodes.noImageFoundState'));
   }
 
   // The bounding box determines width and height, not the width and height params
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 71d3492bdc..2222fcbfe8 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -46,6 +46,7 @@ import {
   RANGE_OF_SIZE,
   SEAMLESS,
 } from './constants';
+import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Outpaint graph.
@@ -83,8 +84,8 @@ export const buildCanvasOutpaintGraph = (
   } = state.generation;
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noImageFoundState'));
+    throw new Error(i18n.t('nodes.noImageFoundState'));
   }
 
   // The bounding box determines width and height, not the width and height params
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index 2a677a8775..6beb4c725c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -27,6 +27,7 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Image to Image graph.
@@ -74,8 +75,8 @@ export const buildCanvasSDXLImageToImageGraph = (
   );
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noModelFoundState'));
+    throw new Error(i18n.t('nodes.noModelFoundState'));
   }
 
   // Model Loader ID
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index baa1c0155f..6b63ec4e44 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -46,6 +46,7 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Inpaint graph.
@@ -86,8 +87,8 @@ export const buildCanvasSDXLInpaintGraph = (
   } = state.sdxl;
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noModelFoundState'));
+    throw new Error(i18n.t('nodes.noModelFoundState'));
   }
 
   // The bounding box determines width and height, not the width and height params
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 3f8fffb70a..c1105c0ecd 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -48,6 +48,7 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Outpaint graph.
@@ -90,8 +91,8 @@ export const buildCanvasSDXLOutpaintGraph = (
   } = state.sdxl;
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noModelFoundState'));
+    throw new Error(i18n.t('nodes.noModelFoundState'));
   }
 
   // The bounding box determines width and height, not the width and height params
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index 6d787987ef..07f9b8f573 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -29,6 +29,7 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Text to Image graph.
@@ -71,8 +72,8 @@ export const buildCanvasSDXLTextToImageGraph = (
     state.sdxl;
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noModelFoundState'));
+    throw new Error(i18n.t('nodes.noModelFoundState'));
   }
 
   const use_cpu = shouldUseNoiseSettings
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index 094a7b02cc..ae06a27a3e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -27,6 +27,7 @@ import {
   POSITIVE_CONDITIONING,
   SEAMLESS,
 } from './constants';
+import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Text to Image graph.
@@ -66,8 +67,8 @@ export const buildCanvasTextToImageGraph = (
   );
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noModelFoundState'));
+    throw new Error(i18n.t('nodes.noModelFoundState'));
   }
 
   const use_cpu = shouldUseNoiseSettings
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index dc9a34c67e..b032e6d9f7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -27,6 +27,7 @@ import {
   RESIZE,
   SEAMLESS,
 } from './constants';
+import i18n from 'i18next';
 
 /**
  * Builds the Image to Image tab graph.
@@ -75,13 +76,13 @@ export const buildLinearImageToImageGraph = (
    */
 
   if (!initialImage) {
-    log.error('No initial image found in state');
-    throw new Error('No initial image found in state');
+    log.error(i18n.t('nodes.noImageFoundState'));
+    throw new Error(i18n.t('nodes.noImageFoundState'));
   }
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noModelFoundState'));
+    throw new Error(i18n.t('nodes.noModelFoundState'));
   }
 
   const fp32 = vaePrecision === 'fp32';
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 757a3976bb..7dd4aaf301 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -29,6 +29,7 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import i18n from 'i18next';
 
 /**
  * Builds the Image to Image tab graph.
@@ -75,13 +76,13 @@ export const buildLinearSDXLImageToImageGraph = (
    */
 
   if (!initialImage) {
-    log.error('No initial image found in state');
-    throw new Error('No initial image found in state');
+    log.error(i18n.t('nodes.noImageFoundState'));
+    throw new Error(i18n.t('nodes.noImageFoundState'));
   }
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noModelFoundState'));
+    throw new Error(i18n.t('nodes.noModelFoundState'));
   }
 
   const fp32 = vaePrecision === 'fp32';
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 9590e77f89..86ea08b41c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -23,6 +23,7 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import i18n from 'i18next';
 
 export const buildLinearSDXLTextToImageGraph = (
   state: RootState
@@ -58,8 +59,8 @@ export const buildLinearSDXLTextToImageGraph = (
     : initialGenerationState.shouldUseCpuNoise;
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noModelFoundState'));
+    throw new Error(i18n.t('nodes.noModelFoundState'));
   }
 
   const fp32 = vaePrecision === 'fp32';
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index 5c534fff21..6ca16b0ae0 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -26,6 +26,7 @@ import {
   SEAMLESS,
   TEXT_TO_IMAGE_GRAPH,
 } from './constants';
+import i18n from 'i18next';
 
 export const buildLinearTextToImageGraph = (
   state: RootState
@@ -53,8 +54,8 @@ export const buildLinearTextToImageGraph = (
     : initialGenerationState.shouldUseCpuNoise;
 
   if (!model) {
-    log.error('No model found in state');
-    throw new Error('No model found in state');
+    log.error(i18n.t('nodes.noModelFoundState'));
+    throw new Error(i18n.t('nodes.noModelFoundState'));
   }
 
   const fp32 = vaePrecision === 'fp32';
diff --git a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
index 8615a12c46..55ca593827 100644
--- a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
@@ -15,6 +15,7 @@ import {
   isInvocationSchemaObject,
 } from '../types/types';
 import { buildInputFieldTemplate, getFieldType } from './fieldTemplateBuilders';
+import i18n from 'i18next';
 
 const RESERVED_INPUT_FIELD_NAMES = ['id', 'type', 'metadata'];
 const RESERVED_OUTPUT_FIELD_NAMES = ['type'];
@@ -97,7 +98,7 @@ export const parseSchema = (
         if (isReservedInputField(type, propertyName)) {
           logger('nodes').trace(
             { node: type, fieldName: propertyName, field: parseify(property) },
-            'Skipped reserved input field'
+            i18n.t('nodes.skippedReservedInput')
           );
           return inputsAccumulator;
         }
@@ -105,7 +106,7 @@ export const parseSchema = (
         if (!isInvocationFieldSchema(property)) {
           logger('nodes').warn(
             { node: type, propertyName, property: parseify(property) },
-            'Unhandled input property'
+            i18n.t('nodes.unhandledInputProperty')
           );
           return inputsAccumulator;
         }
@@ -120,7 +121,7 @@ export const parseSchema = (
               fieldType,
               field: parseify(property),
             },
-            'Skipping unknown input field type'
+            i18n.t('nodes.skippingUnknownInputType')
           );
           return inputsAccumulator;
         }
@@ -133,7 +134,7 @@ export const parseSchema = (
               fieldType,
               field: parseify(property),
             },
-            'Skipping reserved field type'
+            i18n.t('nodes.skippingReservedFieldType')
           );
           return inputsAccumulator;
         }
@@ -153,7 +154,7 @@ export const parseSchema = (
               fieldType,
               field: parseify(property),
             },
-            'Skipping input field with no template'
+            i18n.t('nodes.skippingInputNoTemplate')
           );
           return inputsAccumulator;
         }
@@ -169,21 +170,24 @@ export const parseSchema = (
     if (!outputSchemaName) {
       logger('nodes').warn(
         { outputRefObject: parseify(schema.output) },
-        'No output schema name found in ref object'
+        i18n.t('nodes.noOutputSchemaName')
       );
       return invocationsAccumulator;
     }
 
     const outputSchema = openAPI.components?.schemas?.[outputSchemaName];
     if (!outputSchema) {
-      logger('nodes').warn({ outputSchemaName }, 'Output schema not found');
+      logger('nodes').warn(
+        { outputSchemaName },
+        i18n.t('nodes.outputSchemaNotFound')
+      );
       return invocationsAccumulator;
     }
 
     if (!isInvocationOutputSchemaObject(outputSchema)) {
       logger('nodes').error(
         { outputSchema: parseify(outputSchema) },
-        'Invalid output schema'
+        i18n.t('nodes.invalidOutputSchema')
       );
       return invocationsAccumulator;
     }
@@ -196,7 +200,7 @@ export const parseSchema = (
         if (!isAllowedOutputField(type, propertyName)) {
           logger('nodes').trace(
             { type, propertyName, property: parseify(property) },
-            'Skipped reserved output field'
+            i18n.t('nodes.skippedReservedOutput')
           );
           return outputsAccumulator;
         }
@@ -204,7 +208,7 @@ export const parseSchema = (
         if (!isInvocationFieldSchema(property)) {
           logger('nodes').warn(
             { type, propertyName, property: parseify(property) },
-            'Unhandled output property'
+            i18n.t('nodes.unhandledOutputProperty')
           );
           return outputsAccumulator;
         }
@@ -214,7 +218,7 @@ export const parseSchema = (
         if (!isFieldType(fieldType)) {
           logger('nodes').warn(
             { fieldName: propertyName, fieldType, field: parseify(property) },
-            'Skipping unknown output field type'
+            i18n.t('nodes.skippingUnknownOutputType')
           );
           return outputsAccumulator;
         }
diff --git a/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts b/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts
index a3085d516b..14b90fc731 100644
--- a/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts
@@ -7,6 +7,7 @@ import {
   isWorkflowInvocationNode,
 } from '../types/types';
 import { parseify } from 'common/util/serialize';
+import i18n from 'i18next';
 
 export const validateWorkflow = (
   workflow: Workflow,
@@ -25,8 +26,14 @@ export const validateWorkflow = (
     const nodeTemplate = nodeTemplates[node.data.type];
     if (!nodeTemplate) {
       errors.push({
-        message: `Node "${node.data.type}" skipped`,
-        issues: [`Node type "${node.data.type}" does not exist`],
+        message: `${i18n.t('nodes.node')} "${node.data.type}" ${i18n.t(
+          'nodes.skipped'
+        )}`,
+        issues: [
+          `${i18n.t('nodes.nodeType')}"${node.data.type}" ${i18n.t(
+            'nodes.doesNotExist'
+          )}`,
+        ],
         data: node,
       });
       return;
@@ -38,9 +45,13 @@ export const validateWorkflow = (
       compareVersions(nodeTemplate.version, node.data.version) !== 0
     ) {
       errors.push({
-        message: `Node "${node.data.type}" has mismatched version`,
+        message: `${i18n.t('nodes.node')} "${node.data.type}" ${i18n.t(
+          'nodes.mismatchedVersion'
+        )}`,
         issues: [
-          `Node "${node.data.type}" v${node.data.version} may be incompatible with installed v${nodeTemplate.version}`,
+          `${i18n.t('nodes.node')} "${node.data.type}" v${
+            node.data.version
+          } ${i18n.t('nodes.maybeIncompatible')} v${nodeTemplate.version}`,
         ],
         data: { node, nodeTemplate: parseify(nodeTemplate) },
       });
@@ -52,33 +63,49 @@ export const validateWorkflow = (
     const targetNode = keyedNodes[edge.target];
     const issues: string[] = [];
     if (!sourceNode) {
-      issues.push(`Output node ${edge.source} does not exist`);
+      issues.push(
+        `${i18n.t('nodes.outputNode')} ${edge.source} ${i18n.t(
+          'nodes.doesNotExist'
+        )}`
+      );
     } else if (
       edge.type === 'default' &&
       !(edge.sourceHandle in sourceNode.data.outputs)
     ) {
       issues.push(
-        `Output field "${edge.source}.${edge.sourceHandle}" does not exist`
+        `${i18n.t('nodes.outputNodes')} "${edge.source}.${
+          edge.sourceHandle
+        }" ${i18n.t('nodes.doesNotExist')}`
       );
     }
     if (!targetNode) {
-      issues.push(`Input node ${edge.target} does not exist`);
+      issues.push(
+        `${i18n.t('nodes.inputNode')} ${edge.target} ${i18n.t(
+          'nodes.doesNotExist'
+        )}`
+      );
     } else if (
       edge.type === 'default' &&
       !(edge.targetHandle in targetNode.data.inputs)
     ) {
       issues.push(
-        `Input field "${edge.target}.${edge.targetHandle}" does not exist`
+        `${i18n.t('nodes.inputFeilds')} "${edge.target}.${
+          edge.targetHandle
+        }" ${i18n.t('nodes.doesNotExist')}`
       );
     }
     if (!nodeTemplates[sourceNode?.data.type ?? '__UNKNOWN_NODE_TYPE__']) {
       issues.push(
-        `Source node "${edge.source}" missing template "${sourceNode?.data.type}"`
+        `${i18n.t('nodes.sourceNode')} "${edge.source}" ${i18n.t(
+          'nodes.missingTemplate'
+        )} "${sourceNode?.data.type}"`
       );
     }
     if (!nodeTemplates[targetNode?.data.type ?? '__UNKNOWN_NODE_TYPE__']) {
       issues.push(
-        `Source node "${edge.target}" missing template "${targetNode?.data.type}"`
+        `${i18n.t('nodes.sourceNode')}"${edge.target}" ${i18n.t(
+          'nodes.missingTemplate'
+        )} "${targetNode?.data.type}"`
       );
     }
     if (issues.length) {

From 163ece9aeeaee9b1330b9a6b3be89a5048e0ff1f Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Mon, 11 Sep 2023 16:08:15 -0400
Subject: [PATCH 116/265] Initial skeleton for IPAdapter model management.

---
 .../backend/model_management/model_manager.py | 22 ++++----
 .../backend/model_management/model_probe.py   | 40 +++++++++-----
 .../backend/model_management/models/base.py   | 32 ++++++-----
 .../model_management/models/ip_adapter.py     | 53 +++++++++++++++++++
 4 files changed, 112 insertions(+), 35 deletions(-)
 create mode 100644 invokeai/backend/model_management/models/ip_adapter.py

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index d87bc03fb7..d746a83a9e 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -25,6 +25,7 @@ Models are described using four attributes:
          ModelType.Lora -- a LoRA or LyCORIS fine-tune
          ModelType.TextualInversion -- a textual inversion embedding
          ModelType.ControlNet -- a ControlNet model
+         ModelType.IPAdapter -- an IPAdapter model
 
   3) BaseModelType -- an enum indicating the stable diffusion base model, one of:
          BaseModelType.StableDiffusion1
@@ -234,8 +235,8 @@ import textwrap
 import types
 from dataclasses import dataclass
 from pathlib import Path
-from shutil import rmtree, move
-from typing import Optional, List, Literal, Tuple, Union, Dict, Set, Callable
+from shutil import move, rmtree
+from typing import Callable, Dict, List, Literal, Optional, Set, Tuple, Union
 
 import torch
 import yaml
@@ -246,20 +247,21 @@ from pydantic import BaseModel, Field
 import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.util import CUDA_DEVICE, Chdir
+
 from .model_cache import ModelCache, ModelLocker
 from .model_search import ModelSearch
 from .models import (
-    BaseModelType,
-    ModelType,
-    SubModelType,
-    ModelError,
-    SchedulerPredictionType,
     MODEL_CLASSES,
-    ModelConfigBase,
-    ModelNotFoundException,
-    InvalidModelException,
+    BaseModelType,
     DuplicateModelException,
+    InvalidModelException,
     ModelBase,
+    ModelConfigBase,
+    ModelError,
+    ModelNotFoundException,
+    ModelType,
+    SchedulerPredictionType,
+    SubModelType,
 )
 
 # We are only starting to number the config file with release 3.
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 0d6f61e145..6750e0fe6a 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -1,24 +1,23 @@
 import json
-import torch
-import safetensors.torch
-
 from dataclasses import dataclass
-
-from diffusers import ModelMixin, ConfigMixin
 from pathlib import Path
-from typing import Callable, Literal, Union, Dict, Optional
+from typing import Callable, Dict, Literal, Optional, Union
+
+import safetensors.torch
+import torch
+from diffusers import ConfigMixin, ModelMixin
 from picklescan.scanner import scan_file_path
 
 from .models import (
     BaseModelType,
+    InvalidModelException,
     ModelType,
     ModelVariantType,
     SchedulerPredictionType,
     SilenceWarnings,
-    InvalidModelException,
 )
-from .util import lora_token_vector_length
 from .models.base import read_checkpoint_meta
+from .util import lora_token_vector_length
 
 
 @dataclass
@@ -53,6 +52,7 @@ class ModelProbe(object):
         "StableDiffusionXLInpaintPipeline": ModelType.Main,
         "AutoencoderKL": ModelType.Vae,
         "ControlNetModel": ModelType.ControlNet,
+        "IPAdapterModel": ModelType.IPAdapter,
     }
 
     @classmethod
@@ -367,6 +367,11 @@ class ControlNetCheckpointProbe(CheckpointProbeBase):
         raise InvalidModelException("Unable to determine base type for {self.checkpoint_path}")
 
 
+class IPAdapterCheckpointProbe(CheckpointProbeBase):
+    def get_base_type(self) -> BaseModelType:
+        raise NotImplementedError()
+
+
 ########################################################
 # classes for probing folders
 #######################################################
@@ -486,11 +491,11 @@ class ControlNetFolderProbe(FolderProbeBase):
         base_model = (
             BaseModelType.StableDiffusion1
             if dimension == 768
-            else BaseModelType.StableDiffusion2
-            if dimension == 1024
-            else BaseModelType.StableDiffusionXL
-            if dimension == 2048
-            else None
+            else (
+                BaseModelType.StableDiffusion2
+                if dimension == 1024
+                else BaseModelType.StableDiffusionXL if dimension == 2048 else None
+            )
         )
         if not base_model:
             raise InvalidModelException(f"Unable to determine model base for {self.folder_path}")
@@ -510,15 +515,24 @@ class LoRAFolderProbe(FolderProbeBase):
         return LoRACheckpointProbe(model_file, None).get_base_type()
 
 
+class IPAdapterFolderProbe(FolderProbeBase):
+    def get_base_type(self) -> BaseModelType:
+        raise NotImplementedError()
+
+
 ############## register probe classes ######
 ModelProbe.register_probe("diffusers", ModelType.Main, PipelineFolderProbe)
 ModelProbe.register_probe("diffusers", ModelType.Vae, VaeFolderProbe)
 ModelProbe.register_probe("diffusers", ModelType.Lora, LoRAFolderProbe)
 ModelProbe.register_probe("diffusers", ModelType.TextualInversion, TextualInversionFolderProbe)
 ModelProbe.register_probe("diffusers", ModelType.ControlNet, ControlNetFolderProbe)
+ModelProbe.register_probe("diffusers", ModelType.IPAdapter, IPAdapterFolderProbe)
+
 ModelProbe.register_probe("checkpoint", ModelType.Main, PipelineCheckpointProbe)
 ModelProbe.register_probe("checkpoint", ModelType.Vae, VaeCheckpointProbe)
 ModelProbe.register_probe("checkpoint", ModelType.Lora, LoRACheckpointProbe)
 ModelProbe.register_probe("checkpoint", ModelType.TextualInversion, TextualInversionCheckpointProbe)
 ModelProbe.register_probe("checkpoint", ModelType.ControlNet, ControlNetCheckpointProbe)
+ModelProbe.register_probe("checkpoint", ModelType.IPAdapter, IPAdapterCheckpointProbe)
+
 ModelProbe.register_probe("onnx", ModelType.ONNX, ONNXFolderProbe)
diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py
index ed1c2c6098..16b6bc26a6 100644
--- a/invokeai/backend/model_management/models/base.py
+++ b/invokeai/backend/model_management/models/base.py
@@ -1,29 +1,36 @@
+import inspect
 import json
 import os
 import sys
 import typing
-import inspect
 import warnings
 from abc import ABCMeta, abstractmethod
 from contextlib import suppress
 from enum import Enum
 from pathlib import Path
-from picklescan.scanner import scan_file_path
+from typing import (
+    Any,
+    Callable,
+    Dict,
+    Generic,
+    List,
+    Literal,
+    Optional,
+    Type,
+    TypeVar,
+    Union,
+)
 
-import torch
 import numpy as np
 import onnx
 import safetensors.torch
-from diffusers import DiffusionPipeline, ConfigMixin
-from onnx import numpy_helper
-from onnxruntime import (
-    InferenceSession,
-    SessionOptions,
-    get_available_providers,
-)
-from pydantic import BaseModel, Field
-from typing import List, Dict, Optional, Type, Literal, TypeVar, Generic, Callable, Any, Union
+import torch
+from diffusers import ConfigMixin, DiffusionPipeline
 from diffusers import logging as diffusers_logging
+from onnx import numpy_helper
+from onnxruntime import InferenceSession, SessionOptions, get_available_providers
+from picklescan.scanner import scan_file_path
+from pydantic import BaseModel, Field
 from transformers import logging as transformers_logging
 
 
@@ -54,6 +61,7 @@ class ModelType(str, Enum):
     Lora = "lora"
     ControlNet = "controlnet"  # used by model_probe
     TextualInversion = "embedding"
+    IPAdapter = "ipadapter"
 
 
 class SubModelType(str, Enum):
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
new file mode 100644
index 0000000000..028f358aaa
--- /dev/null
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -0,0 +1,53 @@
+import os
+from enum import Enum
+from typing import Any, Optional
+
+import torch
+
+from invokeai.backend.model_management.models.base import (
+    BaseModelType,
+    ModelBase,
+    ModelType,
+    SubModelType,
+    classproperty,
+)
+
+
+class IPAdapterModelFormat(Enum):
+    # The 'official' IP-Adapter model format from Tencent (i.e. https://huggingface.co/h94/IP-Adapter)
+    Tencent = "tencent"
+
+
+class IPAdapterModel(ModelBase):
+    def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType):
+        assert model_type == ModelType.IPAdapter
+        super().__init__(model_path, base_model, model_type)
+
+        # TODO(ryand): Check correct files for model size calculation.
+        self.model_size = os.path.getsize(self.model_path)
+
+    @classmethod
+    def detect_format(cls, path: str) -> str:
+        if not os.path.exists(path):
+            raise ModuleNotFoundError(f"No IP-Adapter model at path '{path}'.")
+
+        raise NotImplementedError()
+
+    @classproperty
+    def save_to_config(cls) -> bool:
+        raise NotImplementedError()
+
+    def get_size(self, child_type: Optional[SubModelType] = None) -> int:
+        if child_type is not None:
+            raise ValueError("There are no child models in an IP-Adapter model.")
+
+        raise NotImplementedError()
+
+    def get_model(
+        self,
+        torch_dtype: Optional[torch.dtype],
+        child_type: Optional[SubModelType] = None,
+    ) -> Any:
+        if child_type is not None:
+            raise ValueError("There are no child models in an IP-Adapter model.")
+        raise NotImplementedError()

From 7ee55489bb0628b8ba2f564fc02ee1e53e3509e1 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Mon, 11 Sep 2023 16:45:09 -0400
Subject: [PATCH 117/265] Improve model search warning messages.

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

diff --git a/invokeai/backend/model_management/model_search.py b/invokeai/backend/model_management/model_search.py
index 0a98091f4a..3cded73d80 100644
--- a/invokeai/backend/model_management/model_search.py
+++ b/invokeai/backend/model_management/model_search.py
@@ -5,8 +5,8 @@ Abstract base class for recursive directory search for models.
 
 import os
 from abc import ABC, abstractmethod
-from typing import List, Set, types
 from pathlib import Path
+from typing import List, Set, types
 
 import invokeai.backend.util.logging as logger
 
@@ -79,7 +79,7 @@ class ModelSearch(ABC):
                         self._models_found += 1
                         self._scanned_dirs.add(path)
                     except Exception as e:
-                        self.logger.warning(str(e))
+                        self.logger.warning(f"Failed to process '{path}': {e}")
 
             for f in files:
                 path = Path(root) / f
@@ -90,7 +90,7 @@ class ModelSearch(ABC):
                         self.on_model_found(path)
                         self._models_found += 1
                     except Exception as e:
-                        self.logger.warning(str(e))
+                        self.logger.warning(f"Failed to process '{path}': {e}")
 
 
 class FindModels(ModelSearch):

From 0d823901efc8038693d595aeb7cb87f2be75a953 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Tue, 12 Sep 2023 13:31:52 -0400
Subject: [PATCH 118/265] Add IPAdapter to model_management __init__.py

---
 .../model_management/models/__init__.py       | 32 +++++++++++--------
 1 file changed, 19 insertions(+), 13 deletions(-)

diff --git a/invokeai/backend/model_management/models/__init__.py b/invokeai/backend/model_management/models/__init__.py
index 2de206257b..cc9d1f4055 100644
--- a/invokeai/backend/model_management/models/__init__.py
+++ b/invokeai/backend/model_management/models/__init__.py
@@ -1,29 +1,31 @@
 import inspect
 from enum import Enum
-from pydantic import BaseModel
 from typing import Literal, get_origin
+
+from pydantic import BaseModel
+
 from .base import (  # noqa: F401
     BaseModelType,
-    ModelType,
-    SubModelType,
+    DuplicateModelException,
+    InvalidModelException,
     ModelBase,
     ModelConfigBase,
+    ModelError,
+    ModelNotFoundException,
+    ModelType,
     ModelVariantType,
     SchedulerPredictionType,
-    ModelError,
     SilenceWarnings,
-    ModelNotFoundException,
-    InvalidModelException,
-    DuplicateModelException,
+    SubModelType,
 )
-from .stable_diffusion import StableDiffusion1Model, StableDiffusion2Model
-from .sdxl import StableDiffusionXLModel
-from .vae import VaeModel
-from .lora import LoRAModel
 from .controlnet import ControlNetModel  # TODO:
-from .textual_inversion import TextualInversionModel
-
+from .ip_adapter import IPAdapterModel
+from .lora import LoRAModel
+from .sdxl import StableDiffusionXLModel
+from .stable_diffusion import StableDiffusion1Model, StableDiffusion2Model
 from .stable_diffusion_onnx import ONNXStableDiffusion1Model, ONNXStableDiffusion2Model
+from .textual_inversion import TextualInversionModel
+from .vae import VaeModel
 
 MODEL_CLASSES = {
     BaseModelType.StableDiffusion1: {
@@ -33,6 +35,7 @@ MODEL_CLASSES = {
         ModelType.Lora: LoRAModel,
         ModelType.ControlNet: ControlNetModel,
         ModelType.TextualInversion: TextualInversionModel,
+        ModelType.IPAdapter: IPAdapterModel,
     },
     BaseModelType.StableDiffusion2: {
         ModelType.ONNX: ONNXStableDiffusion2Model,
@@ -41,6 +44,7 @@ MODEL_CLASSES = {
         ModelType.Lora: LoRAModel,
         ModelType.ControlNet: ControlNetModel,
         ModelType.TextualInversion: TextualInversionModel,
+        ModelType.IPAdapter: IPAdapterModel,
     },
     BaseModelType.StableDiffusionXL: {
         ModelType.Main: StableDiffusionXLModel,
@@ -50,6 +54,7 @@ MODEL_CLASSES = {
         ModelType.ControlNet: ControlNetModel,
         ModelType.TextualInversion: TextualInversionModel,
         ModelType.ONNX: ONNXStableDiffusion2Model,
+        ModelType.IPAdapter: IPAdapterModel,
     },
     BaseModelType.StableDiffusionXLRefiner: {
         ModelType.Main: StableDiffusionXLModel,
@@ -59,6 +64,7 @@ MODEL_CLASSES = {
         ModelType.ControlNet: ControlNetModel,
         ModelType.TextualInversion: TextualInversionModel,
         ModelType.ONNX: ONNXStableDiffusion2Model,
+        ModelType.IPAdapter: IPAdapterModel,
     },
     # BaseModelType.Kandinsky2_1: {
     #    ModelType.Main: Kandinsky2_1Model,

From 3ee9a216478cdb42bddf243795985c507e99ee62 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Tue, 12 Sep 2023 19:09:10 -0400
Subject: [PATCH 119/265] Initial (barely) working version of IP-Adapter model
 management.

---
 invokeai/app/invocations/ip_adapter.py        | 18 ++--
 invokeai/app/invocations/latent.py            | 16 +++-
 .../backend/install/model_install_backend.py  | 44 ++++++---
 invokeai/backend/ip_adapter/ip_adapter.py     | 92 ++++++++++++++-----
 .../backend/model_management/model_manager.py |  4 +-
 .../backend/model_management/models/base.py   |  2 +-
 .../model_management/models/ip_adapter.py     | 60 ++++++++++--
 .../stable_diffusion/diffusers_pipeline.py    | 31 ++-----
 8 files changed, 182 insertions(+), 85 deletions(-)

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index d73941c376..89d440b6ea 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -16,10 +16,10 @@ from invokeai.app.invocations.baseinvocation import (
 from invokeai.app.invocations.primitives import ImageField
 
 IP_ADAPTER_MODELS = Literal[
-    "models/core/ip_adapters/sd-1/ip-adapter_sd15.bin",
-    "models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin",
-    "models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin",
-    "models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin",
+    "ip-adapter_sd15",
+    "ip-adapter-plus_sd15",
+    "ip-adapter-plus-face_sd15",
+    "ip-adapter_sdxl",
 ]
 
 IP_ADAPTER_IMAGE_ENCODER_MODELS = Literal[
@@ -52,7 +52,7 @@ class IPAdapterInvocation(BaseInvocation):
     # Inputs
     image: ImageField = InputField(description="The IP-Adapter image prompt.")
     ip_adapter_model: IP_ADAPTER_MODELS = InputField(
-        default="models/core/ip_adapters/sd-1/ip-adapter_sd15.bin",
+        default="ip-adapter_sd15.bin",
         description="The name of the IP-Adapter model.",
         title="IP-Adapter Model",
     )
@@ -65,12 +65,8 @@ class IPAdapterInvocation(BaseInvocation):
         return IPAdapterOutput(
             ip_adapter=IPAdapterField(
                 image=self.image,
-                ip_adapter_model=(
-                    context.services.configuration.get_config().root_dir / self.ip_adapter_model
-                ).as_posix(),
-                image_encoder_model=(
-                    context.services.configuration.get_config().root_dir / self.image_encoder_model
-                ).as_posix(),
+                ip_adapter_model=self.ip_adapter_model,
+                image_encoder_model=self.image_encoder_model,
                 weight=self.weight,
             ),
         )
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index fbad7a8988..d63e16df8c 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -403,14 +403,23 @@ class DenoiseLatentsInvocation(BaseInvocation):
         self,
         context: InvocationContext,
         ip_adapter: Optional[IPAdapterField],
-    ) -> IPAdapterData:
+        exit_stack: ExitStack,
+    ) -> Optional[IPAdapterData]:
         if ip_adapter is None:
             return None
 
         input_image = context.services.images.get_pil_image(ip_adapter.image.image_name)
+
+        ip_adapter_model = exit_stack.enter_context(
+            context.services.model_manager.get_model(
+                model_name=ip_adapter.ip_adapter_model,
+                model_type=ModelType.IPAdapter,
+                base_model=BaseModelType.StableDiffusion1,  # HACK(ryand): Pass this in properly
+                context=context,
+            )
+        )
         return IPAdapterData(
-            ip_adapter_model=ip_adapter.ip_adapter_model,  # name of model, NOT model object.
-            image_encoder_model=ip_adapter.image_encoder_model,  # name of model, NOT model object.
+            ip_adapter_model=ip_adapter_model,
             image=input_image,
             weight=ip_adapter.weight,
         )
@@ -543,6 +552,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 ip_adapter_data = self.prep_ip_adapter_data(
                     context=context,
                     ip_adapter=self.ip_adapter,
+                    exit_stack=exit_stack,
                 )
 
                 num_inference_steps, timesteps, init_timestep = self.init_scheduler(
diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index e41783ab09..711877ea56 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -7,23 +7,33 @@ import warnings
 from dataclasses import dataclass, field
 from pathlib import Path
 from tempfile import TemporaryDirectory
-from typing import Optional, List, Dict, Callable, Union, Set
+from typing import Callable, Dict, List, Optional, Set, Union
 
 import requests
+import torch
 from diffusers import DiffusionPipeline
 from diffusers import logging as dlogging
-import torch
-from huggingface_hub import hf_hub_url, HfFolder, HfApi
+from huggingface_hub import HfApi, HfFolder, hf_hub_url
 from omegaconf import OmegaConf
 from tqdm import tqdm
 
 import invokeai.configs as configs
-
 from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.backend.model_management import ModelManager, ModelType, BaseModelType, ModelVariantType, AddModelResult
-from invokeai.backend.model_management.model_probe import ModelProbe, SchedulerPredictionType, ModelProbeInfo
+from invokeai.backend.model_management import (
+    AddModelResult,
+    BaseModelType,
+    ModelManager,
+    ModelType,
+    ModelVariantType,
+)
+from invokeai.backend.model_management.model_probe import (
+    ModelProbe,
+    ModelProbeInfo,
+    SchedulerPredictionType,
+)
 from invokeai.backend.util import download_with_resume
-from invokeai.backend.util.devices import torch_dtype, choose_torch_device
+from invokeai.backend.util.devices import choose_torch_device, torch_dtype
+
 from ..util.logging import InvokeAILogger
 
 warnings.filterwarnings("ignore")
@@ -308,6 +318,7 @@ class ModelInstall(object):
                 location = self._download_hf_pipeline(repo_id, staging)  # pipeline
             elif "unet/model.onnx" in files:
                 location = self._download_hf_model(repo_id, files, staging)
+            # TODO(ryand): Add special handling for ip_adapter?
             else:
                 for suffix in ["safetensors", "bin"]:
                     if f"pytorch_lora_weights.{suffix}" in files:
@@ -534,14 +545,17 @@ def hf_download_with_resume(
         logger.info(f"{model_name}: Downloading...")
 
     try:
-        with open(model_dest, open_mode) as file, tqdm(
-            desc=model_name,
-            initial=exist_size,
-            total=total + exist_size,
-            unit="iB",
-            unit_scale=True,
-            unit_divisor=1000,
-        ) as bar:
+        with (
+            open(model_dest, open_mode) as file,
+            tqdm(
+                desc=model_name,
+                initial=exist_size,
+                total=total + exist_size,
+                unit="iB",
+                unit_scale=True,
+                unit_divisor=1000,
+            ) as bar,
+        ):
             for data in resp.iter_content(chunk_size=1024):
                 size = file.write(data)
                 bar.update(size)
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 9d62ce58a3..7f95750aaf 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -2,6 +2,7 @@
 #   and modified as needed
 
 from contextlib import contextmanager
+from typing import Optional
 
 import torch
 from diffusers.models import UNet2DConditionModel
@@ -45,36 +46,74 @@ class IPAdapter:
 
     def __init__(
         self,
-        unet: UNet2DConditionModel,
         image_encoder_path: str,
         ip_adapter_ckpt_path: str,
         device: torch.device,
+        dtype: torch.dtype = torch.float16,
         num_tokens: int = 4,
     ):
-        self._unet = unet
-        self._device = device
+        self.device = device
+        self.dtype = dtype
+
         self._image_encoder_path = image_encoder_path
         self._ip_adapter_ckpt_path = ip_adapter_ckpt_path
         self._num_tokens = num_tokens
 
-        self._attn_processors = self._prepare_attention_processors()
-
-        # load image encoder
         self._image_encoder = CLIPVisionModelWithProjection.from_pretrained(self._image_encoder_path).to(
-            self._device, dtype=torch.float16
+            self.device, dtype=self.dtype
         )
         self._clip_image_processor = CLIPImageProcessor()
-        # image proj model
-        self._image_proj_model = self._init_image_proj_model()
 
-        self._load_weights()
+        # Fields to be initialized later in initialize().
+        self._unet = None
+        self._image_proj_model = None
+        self._attn_processors = None
+
+        self._state_dict = torch.load(self._ip_adapter_ckpt_path, map_location="cpu")
+
+    def is_initialized(self):
+        return self._unet is not None and self._image_proj_model is not None and self._attn_processors is not None
+
+    def initialize(self, unet: UNet2DConditionModel):
+        """Finish the model initialization process.
+
+        HACK: This is separate from __init__ for compatibility with the model manager. The full initialization requires
+        access to the UNet model to be patched, which can not easily be passed to __init__ by the model manager.
+
+        Args:
+            unet (UNet2DConditionModel): The UNet whose attention blocks will be patched by this IP-Adapter.
+        """
+        if self.is_initialized():
+            raise Exception("IPAdapter has already been initialized.")
+
+        self._unet = unet
+        self._image_proj_model = self._init_image_proj_model()
+        self._attn_processors = self._prepare_attention_processors()
+
+        # Copy the weights from the _state_dict into the models.
+        self._image_proj_model.load_state_dict(self._state_dict["image_proj"])
+        ip_layers = torch.nn.ModuleList(self._attn_processors.values())
+        ip_layers.load_state_dict(self._state_dict["ip_adapter"])
+
+        self._state_dict = None
+
+    def to(self, device: torch.device, dtype: Optional[torch.dtype] = None):
+        self.device = device
+        if dtype is not None:
+            self.dtype = dtype
+
+        for model in [self._image_encoder, self._image_proj_model, self._attn_processors]:
+            # If this is called before initialize(), then some models will still be None. We just update the non-None
+            # models.
+            if model is not None:
+                model.to(device=self.device, dtype=self.dtype)
 
     def _init_image_proj_model(self):
         image_proj_model = ImageProjModel(
             cross_attention_dim=self._unet.config.cross_attention_dim,
             clip_embeddings_dim=self._image_encoder.config.projection_dim,
             clip_extra_context_tokens=self._num_tokens,
-        ).to(self._device, dtype=torch.float16)
+        ).to(self.device, dtype=self.dtype)
         return image_proj_model
 
     def _prepare_attention_processors(self):
@@ -99,7 +138,7 @@ class IPAdapter:
                     hidden_size=hidden_size,
                     cross_attention_dim=cross_attention_dim,
                     scale=1.0,
-                ).to(self._device, dtype=torch.float16)
+                ).to(self.device, dtype=self.dtype)
         return attn_procs
 
     @contextmanager
@@ -109,30 +148,36 @@ class IPAdapter:
         Yields:
             None
         """
+        if not self.is_initialized():
+            raise Exception("Call IPAdapter.initialize() before calling IPAdapter.apply_ip_adapter_attention().")
+
         orig_attn_processors = self._unet.attn_processors
+        # Make a (moderately-) shallow copy of the self._attn_processors dict, because set_attn_processor(...) actually
+        # pops elements from the passed dict.
+        ip_adapter_attn_processors = {k: v for k, v in self._attn_processors.items()}
         try:
-            self._unet.set_attn_processor(self._attn_processors)
+            self._unet.set_attn_processor(ip_adapter_attn_processors)
             yield None
         finally:
             self._unet.set_attn_processor(orig_attn_processors)
 
-    def _load_weights(self):
-        state_dict = torch.load(self._ip_adapter_ckpt_path, map_location="cpu")
-        self._image_proj_model.load_state_dict(state_dict["image_proj"])
-        ip_layers = torch.nn.ModuleList(self._attn_processors.values())
-        ip_layers.load_state_dict(state_dict["ip_adapter"])
-
     @torch.inference_mode()
     def get_image_embeds(self, pil_image):
+        if not self.is_initialized():
+            raise Exception("Call IPAdapter.initialize() before calling IPAdapter.get_image_embeds().")
+
         if isinstance(pil_image, Image.Image):
             pil_image = [pil_image]
         clip_image = self._clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
-        clip_image_embeds = self._image_encoder(clip_image.to(self._device, dtype=torch.float16)).image_embeds
+        clip_image_embeds = self._image_encoder(clip_image.to(self.device, dtype=self.dtype)).image_embeds
         image_prompt_embeds = self._image_proj_model(clip_image_embeds)
         uncond_image_prompt_embeds = self._image_proj_model(torch.zeros_like(clip_image_embeds))
         return image_prompt_embeds, uncond_image_prompt_embeds
 
     def set_scale(self, scale):
+        if not self.is_initialized():
+            raise Exception("Call IPAdapter.initialize() before calling IPAdapter.set_scale().")
+
         for attn_processor in self._attn_processors.values():
             if isinstance(attn_processor, IPAttnProcessor):
                 attn_processor.scale = scale
@@ -151,15 +196,18 @@ class IPAdapterPlus(IPAdapter):
             embedding_dim=self._image_encoder.config.hidden_size,
             output_dim=self._unet.config.cross_attention_dim,
             ff_mult=4,
-        ).to(self._device, dtype=torch.float16)
+        ).to(self.device, dtype=self.dtype)
         return image_proj_model
 
     @torch.inference_mode()
     def get_image_embeds(self, pil_image):
+        if not self.is_initialized():
+            raise Exception("Call IPAdapter.initialize() before calling IPAdapter.get_image_embeds().")
+
         if isinstance(pil_image, Image.Image):
             pil_image = [pil_image]
         clip_image = self._clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
-        clip_image = clip_image.to(self._device, dtype=torch.float16)
+        clip_image = clip_image.to(self.device, dtype=self.dtype)
         clip_image_embeds = self._image_encoder(clip_image, output_hidden_states=True).hidden_states[-2]
         image_prompt_embeds = self._image_proj_model(clip_image_embeds)
         uncond_clip_image_embeds = self._image_encoder(
diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index d746a83a9e..7bb188cb4e 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -1001,8 +1001,8 @@ class ModelManager(object):
                                 new_models_found = True
                             except DuplicateModelException as e:
                                 self.logger.warning(e)
-                            except InvalidModelException:
-                                self.logger.warning(f"Not a valid model: {model_path}")
+                            except InvalidModelException as e:
+                                self.logger.warning(f"Not a valid model: {model_path}. {e}")
                             except NotImplementedError as e:
                                 self.logger.warning(e)
 
diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py
index 16b6bc26a6..0bff479412 100644
--- a/invokeai/backend/model_management/models/base.py
+++ b/invokeai/backend/model_management/models/base.py
@@ -61,7 +61,7 @@ class ModelType(str, Enum):
     Lora = "lora"
     ControlNet = "controlnet"  # used by model_probe
     TextualInversion = "embedding"
-    IPAdapter = "ipadapter"
+    IPAdapter = "ip_adapter"
 
 
 class SubModelType(str, Enum):
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index 028f358aaa..01a97b6dfc 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -1,24 +1,31 @@
 import os
+import typing
 from enum import Enum
-from typing import Any, Optional
+from typing import Any, Literal, Optional
 
 import torch
 
+from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
 from invokeai.backend.model_management.models.base import (
     BaseModelType,
+    InvalidModelException,
     ModelBase,
+    ModelConfigBase,
     ModelType,
     SubModelType,
     classproperty,
 )
 
 
-class IPAdapterModelFormat(Enum):
-    # The 'official' IP-Adapter model format from Tencent (i.e. https://huggingface.co/h94/IP-Adapter)
-    Tencent = "tencent"
+class IPAdapterModelFormat(str, Enum):
+    # Checkpoint is the 'official' IP-Adapter model format from Tencent (i.e. https://huggingface.co/h94/IP-Adapter)
+    Checkpoint = "checkpoint"
 
 
 class IPAdapterModel(ModelBase):
+    class CheckpointConfig(ModelConfigBase):
+        model_format: Literal[IPAdapterModelFormat.Checkpoint]
+
     def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType):
         assert model_type == ModelType.IPAdapter
         super().__init__(model_path, base_model, model_type)
@@ -31,23 +38,58 @@ class IPAdapterModel(ModelBase):
         if not os.path.exists(path):
             raise ModuleNotFoundError(f"No IP-Adapter model at path '{path}'.")
 
-        raise NotImplementedError()
+        if os.path.isfile(path):
+            if path.endswith((".safetensors", ".ckpt", ".pt", ".pth", ".bin")):
+                return IPAdapterModelFormat.Checkpoint
+
+        raise InvalidModelException(f"Unexpected IP-Adapter model format: {path}")
 
     @classproperty
     def save_to_config(cls) -> bool:
-        raise NotImplementedError()
+        return True
 
     def get_size(self, child_type: Optional[SubModelType] = None) -> int:
         if child_type is not None:
             raise ValueError("There are no child models in an IP-Adapter model.")
 
-        raise NotImplementedError()
+        # TODO(ryand): Update self.model_size when the model is loaded from disk.
+        return self.model_size
+
+    def _get_text_encoder_path(self) -> str:
+        # TODO(ryand): Move the CLIP image encoder to its own model directory.
+        return os.path.join(os.path.dirname(self.model_path), "image_encoder")
 
     def get_model(
         self,
         torch_dtype: Optional[torch.dtype],
         child_type: Optional[SubModelType] = None,
-    ) -> Any:
+    ) -> typing.Union[IPAdapter, IPAdapterPlus]:
         if child_type is not None:
             raise ValueError("There are no child models in an IP-Adapter model.")
-        raise NotImplementedError()
+
+        # TODO(ryand): Update IPAdapter to accept a torch_dtype param.
+
+        # TODO(ryand): Checking for "plus" in the file name is fragile. It should be possible to infer whether this is a
+        # "plus" variant by loading the state_dict.
+        if "plus" in str(self.model_path):
+            return IPAdapterPlus(
+                image_encoder_path=self._get_text_encoder_path(), ip_adapter_ckpt_path=self.model_path, device="cpu"
+            )
+        else:
+            return IPAdapter(
+                image_encoder_path=self._get_text_encoder_path(), ip_adapter_ckpt_path=self.model_path, device="cpu"
+            )
+
+    @classmethod
+    def convert_if_required(
+        cls,
+        model_path: str,
+        output_path: str,
+        config: ModelConfigBase,
+        base_model: BaseModelType,
+    ) -> str:
+        format = cls.detect_format(model_path)
+        if format == IPAdapterModelFormat.Checkpoint:
+            return model_path
+        else:
+            raise ValueError(f"Unsupported format: '{format}'.")
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index a7bbfb23e2..1408c56989 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -171,8 +171,7 @@ class ControlNetData:
 
 @dataclass
 class IPAdapterData:
-    ip_adapter_model: str = Field(default=None)
-    image_encoder_model: str = Field(default=None)
+    ip_adapter_model: IPAdapter = Field(default=None)
     image: PIL.Image = Field(default=None)
     # TODO: change to polymorphic so can do different weights per step (once implemented...)
     # weight: Union[float, List[float]] = Field(default=1.0)
@@ -417,27 +416,15 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             return latents, attention_map_saver
 
         if ip_adapter_data is not None:
-            # Initialize IPAdapter
-            # TODO(ryand): Refactor to use model management for the IP-Adapter.
-            if "plus" in ip_adapter_data.ip_adapter_model:
-                ip_adapter = IPAdapterPlus(
-                    self.unet,
-                    ip_adapter_data.image_encoder_model,
-                    ip_adapter_data.ip_adapter_model,
-                    self.unet.device,
-                    num_tokens=16,
-                )
-            else:
-                ip_adapter = IPAdapter(
-                    self.unet,
-                    ip_adapter_data.image_encoder_model,
-                    ip_adapter_data.ip_adapter_model,
-                    self.unet.device,
-                )
-            ip_adapter.set_scale(ip_adapter_data.weight)
+            if not ip_adapter_data.ip_adapter_model.is_initialized():
+                # TODO(ryan): Do we need to initialize every time? How long does initialize take?
+                ip_adapter_data.ip_adapter_model.initialize(self.unet)
+            ip_adapter_data.ip_adapter_model.set_scale(ip_adapter_data.weight)
 
             # Get image embeddings from CLIP and ImageProjModel.
-            image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter.get_image_embeds(ip_adapter_data.image)
+            image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter_data.ip_adapter_model.get_image_embeds(
+                ip_adapter_data.image
+            )
             conditioning_data.ip_adapter_conditioning = IPAdapterConditioningInfo(
                 image_prompt_embeds, uncond_image_prompt_embeds
             )
@@ -451,7 +438,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         elif ip_adapter_data is not None:
             # TODO(ryand): Should we raise an exception if both custom attention and IP-Adapter attention are active?
             # As it is now, the IP-Adapter will silently be skipped.
-            attn_ctx = ip_adapter.apply_ip_adapter_attention()
+            attn_ctx = ip_adapter_data.ip_adapter_model.apply_ip_adapter_attention()
         else:
             attn_ctx = nullcontext()
 

From 468253aa14f75603ada02c96cb29a10d93014a1f Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Tue, 12 Sep 2023 19:09:22 -0400
Subject: [PATCH 120/265] typegen

---
 .../frontend/web/src/services/api/schema.d.ts | 82 ++++++++++++-------
 1 file changed, 53 insertions(+), 29 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index e439667cbf..3c8ce1e761 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1430,9 +1430,8 @@ export type components = {
       /**
        * Control Model
        * @description ControlNet model to load
-       * @default lllyasviel/sd-controlnet-canny
        */
-      control_model?: components["schemas"]["ControlNetModelField"];
+      control_model: components["schemas"]["ControlNetModelField"];
       /**
        * Control Weight
        * @description The weight given to the ControlNet
@@ -1872,7 +1871,7 @@ export type components = {
        */
       control?: components["schemas"]["ControlField"] | components["schemas"]["ControlField"][];
       /**
-       * Ip Adapter
+       * IP-Adapter
        * @description IP-Adapter to apply
        */
       ip_adapter?: components["schemas"]["IPAdapterField"];
@@ -2251,7 +2250,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
       /**
        * Edges
@@ -2431,15 +2430,13 @@ export type components = {
       /**
        * Ip Adapter Model
        * @description The name of the IP-Adapter model.
-       * @enum {string}
        */
-      ip_adapter_model: "models/core/ip_adapters/sd-1/ip-adapter_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin" | "models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin";
+      ip_adapter_model: string;
       /**
        * Image Encoder Model
        * @description The name of the CLIP image encoder model.
-       * @enum {string}
        */
-      image_encoder_model: "models/core/ip_adapters/sd-1/image_encoder/" | "models/core/ip_adapters/sdxl/image_encoder";
+      image_encoder_model: string;
       /**
        * Weight
        * @description The weight of the IP-Adapter.
@@ -2474,12 +2471,12 @@ export type components = {
        */
       image?: components["schemas"]["ImageField"];
       /**
-       * Ip Adapter Model
+       * IP-Adapter Model
        * @description The name of the IP-Adapter model.
-       * @default models/core/ip_adapters/sd-1/ip-adapter_sd15.bin
+       * @default ip-adapter_sd15.bin
        * @enum {string}
        */
-      ip_adapter_model?: "models/core/ip_adapters/sd-1/ip-adapter_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin" | "models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin" | "models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin";
+      ip_adapter_model?: "ip-adapter_sd15" | "ip-adapter-plus_sd15" | "ip-adapter-plus-face_sd15" | "ip-adapter_sdxl";
       /**
        * Image Encoder Model
        * @description The name of the CLIP image encoder model.
@@ -2500,6 +2497,27 @@ export type components = {
        */
       type: "ip_adapter";
     };
+    /** IPAdapterModelCheckpointConfig */
+    IPAdapterModelCheckpointConfig: {
+      /** Model Name */
+      model_name: string;
+      base_model: components["schemas"]["BaseModelType"];
+      /**
+       * Model Type
+       * @enum {string}
+       */
+      model_type: "ip_adapter";
+      /** Path */
+      path: string;
+      /** Description */
+      description?: string;
+      /**
+       * Model Format
+       * @enum {string}
+       */
+      model_format: "checkpoint";
+      error?: components["schemas"]["ModelError"];
+    };
     /**
      * IPAdapterOutput
      * @description Base class for all invocation outputs.
@@ -2508,7 +2526,7 @@ export type components = {
      */
     IPAdapterOutput: {
       /**
-       * Ip Adapter
+       * IP-Adapter
        * @description IP-Adapter to apply
        */
       ip_adapter: components["schemas"]["IPAdapterField"];
@@ -4940,7 +4958,7 @@ export type components = {
      * @description An enumeration.
      * @enum {string}
      */
-    ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding";
+    ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter";
     /**
      * ModelVariantType
      * @description An enumeration.
@@ -4950,7 +4968,7 @@ export type components = {
     /** ModelsList */
     ModelsList: {
       /** Models */
-      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
+      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
     };
     /**
      * Multiply Integers
@@ -7210,11 +7228,11 @@ export type components = {
       ui_order?: number;
     };
     /**
-     * StableDiffusionXLModelFormat
+     * StableDiffusion2ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * ControlNetModelFormat
      * @description An enumeration.
@@ -7222,23 +7240,29 @@ export type components = {
      */
     ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
-     * StableDiffusion2ModelFormat
+     * IPAdapterModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    IPAdapterModelFormat: "checkpoint";
     /**
-     * StableDiffusionOnnxModelFormat
+     * StableDiffusionXLModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion1ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionOnnxModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
   };
   responses: never;
   parameters: never;
@@ -7355,7 +7379,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -7396,7 +7420,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -7688,14 +7712,14 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
       };
     };
     responses: {
       /** @description The model was updated successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Bad request */
@@ -7732,7 +7756,7 @@ export type operations = {
       /** @description The model imported successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description The model could not be found */
@@ -7766,14 +7790,14 @@ export type operations = {
   add_model: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
       };
     };
     responses: {
       /** @description The model added successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description The model could not be found */
@@ -7819,7 +7843,7 @@ export type operations = {
       /** @description Model converted successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Bad request */
@@ -7914,7 +7938,7 @@ export type operations = {
       /** @description Model converted successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Incompatible models */

From d2191678490d61103cda69892115a09ff7ae6584 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Wed, 13 Sep 2023 09:40:06 -0700
Subject: [PATCH 121/265] fix(latent): remove temporary workaround for lack of
 TAESD tiling support.

Now available in diffusers 0.21: https://github.com/huggingface/diffusers/pull/4627
---
 invokeai/app/invocations/latent.py | 35 +++++++-----------------------
 1 file changed, 8 insertions(+), 27 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 6a07891a74..71670d37e1 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -48,7 +48,6 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
 from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
 from ...backend.util.devices import choose_precision, choose_torch_device
-from ...backend.util.logging import InvokeAILogger
 from ..models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import (
     BaseInvocation,
@@ -608,19 +607,10 @@ class LatentsToImageInvocation(BaseInvocation):
                 vae.to(dtype=torch.float16)
                 latents = latents.half()
 
-            try:
-                if self.tiled or context.services.configuration.tiled_decode:
-                    vae.enable_tiling()
-                else:
-                    vae.disable_tiling()
-            except AttributeError as err:
-                # FIXME: This is a TEMPORARY measure until AutoencoderTiny gets tiling support from https://github.com/huggingface/diffusers/pull/4627
-                if err.name.endswith("_tiling"):
-                    InvokeAILogger.getLogger(self.__class__.__name__).debug(
-                        "ignoring tiling error for %s", vae.__class__, exc_info=err
-                    )
-                else:
-                    raise
+            if self.tiled or context.services.configuration.tiled_decode:
+                vae.enable_tiling()
+            else:
+                vae.disable_tiling()
 
             # clear memory as vae decode can request a lot
             torch.cuda.empty_cache()
@@ -783,19 +773,10 @@ class ImageToLatentsInvocation(BaseInvocation):
                 vae.to(dtype=torch.float16)
                 # latents = latents.half()
 
-            try:
-                if tiled:
-                    vae.enable_tiling()
-                else:
-                    vae.disable_tiling()
-            except AttributeError as err:
-                # FIXME: This is a TEMPORARY measure until AutoencoderTiny gets tiling support from https://github.com/huggingface/diffusers/pull/4627
-                if err.name.endswith("_tiling"):
-                    InvokeAILogger.getLogger(ImageToLatentsInvocation.__name__).debug(
-                        "ignoring tiling error for %s", vae.__class__, exc_info=err
-                    )
-                else:
-                    raise
+            if tiled:
+                vae.enable_tiling()
+            else:
+                vae.disable_tiling()
 
             # non_noised_latents_from_image
             image_tensor = image_tensor.to(device=vae.device, dtype=vae.dtype)

From a2777decd482530e09c5d4690ffaefd421fa10ac Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 13 Sep 2023 13:40:59 -0400
Subject: [PATCH 122/265] Add a IPAdapterModelField for passing passing
 IP-Adapter models between nodes.

---
 invokeai/app/invocations/baseinvocation.py    |   1 +
 invokeai/app/invocations/ip_adapter.py        |  23 ++--
 invokeai/app/invocations/latent.py            |   4 +-
 .../Invocation/fields/InputFieldRenderer.tsx  |  14 +++
 .../inputs/IPAdapterModelInputField.tsx       | 100 ++++++++++++++++++
 .../src/features/nodes/store/nodesSlice.ts    |   8 ++
 .../web/src/features/nodes/types/constants.ts |   6 ++
 .../web/src/features/nodes/types/types.ts     |  24 ++++-
 .../nodes/util/fieldTemplateBuilders.ts       |  15 +++
 .../features/nodes/util/fieldValueBuilders.ts |   1 +
 .../parameters/types/parameterSchemas.ts      |  12 ++-
 .../util/modelIdToIPAdapterModelParams.ts     |  29 +++++
 .../web/src/services/api/endpoints/models.ts  |  42 ++++++++
 .../frontend/web/src/services/api/schema.d.ts |  42 +++++---
 .../frontend/web/src/services/api/types.ts    |   5 +
 15 files changed, 293 insertions(+), 33 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterModelInputField.tsx
 create mode 100644 invokeai/frontend/web/src/features/parameters/util/modelIdToIPAdapterModelParams.ts

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index fc132b09ab..495974488d 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -154,6 +154,7 @@ class UIType(str, Enum):
     VaeModel = "VaeModelField"
     LoRAModel = "LoRAModelField"
     ControlNetModel = "ControlNetModelField"
+    IPAdapterModel = "IPAdapterModelField"
     UNet = "UNetField"
     Vae = "VaeField"
     CLIP = "ClipField"
diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index 89d440b6ea..cf667c9b83 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -6,6 +6,7 @@ from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
     FieldDescriptions,
+    Input,
     InputField,
     InvocationContext,
     OutputField,
@@ -14,24 +15,22 @@ from invokeai.app.invocations.baseinvocation import (
     invocation_output,
 )
 from invokeai.app.invocations.primitives import ImageField
-
-IP_ADAPTER_MODELS = Literal[
-    "ip-adapter_sd15",
-    "ip-adapter-plus_sd15",
-    "ip-adapter-plus-face_sd15",
-    "ip-adapter_sdxl",
-]
+from invokeai.backend.model_management.models.base import BaseModelType
 
 IP_ADAPTER_IMAGE_ENCODER_MODELS = Literal[
     "models/core/ip_adapters/sd-1/image_encoder/", "models/core/ip_adapters/sdxl/image_encoder"
 ]
 
 
+class IPAdapterModelField(BaseModel):
+    model_name: str = Field(description="Name of the IP-Adapter model")
+    base_model: BaseModelType = Field(description="Base model")
+
+
 class IPAdapterField(BaseModel):
     image: ImageField = Field(description="The IP-Adapter image prompt.")
 
-    # TODO(ryand): Create and use a custom `IpAdapterModelField`.
-    ip_adapter_model: str = Field(description="The name of the IP-Adapter model.")
+    ip_adapter_model: IPAdapterModelField = Field(description="The IP-Adapter model to use.")
 
     # TODO(ryand): Create and use a `CLIPImageEncoderField` instead that is analogous to the `ClipField` used elsewhere.
     image_encoder_model: str = Field(description="The name of the CLIP image encoder model.")
@@ -51,10 +50,10 @@ class IPAdapterInvocation(BaseInvocation):
 
     # Inputs
     image: ImageField = InputField(description="The IP-Adapter image prompt.")
-    ip_adapter_model: IP_ADAPTER_MODELS = InputField(
-        default="ip-adapter_sd15.bin",
-        description="The name of the IP-Adapter model.",
+    ip_adapter_model: IPAdapterModelField = InputField(
+        description="The IP-Adapter model.",
         title="IP-Adapter Model",
+        input=Input.Direct,
     )
     image_encoder_model: IP_ADAPTER_IMAGE_ENCODER_MODELS = InputField(
         default="models/core/ip_adapters/sd-1/image_encoder/", description="The name of the CLIP image encoder model."
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index d63e16df8c..8660f6c353 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -412,9 +412,9 @@ class DenoiseLatentsInvocation(BaseInvocation):
 
         ip_adapter_model = exit_stack.enter_context(
             context.services.model_manager.get_model(
-                model_name=ip_adapter.ip_adapter_model,
+                model_name=ip_adapter.ip_adapter_model.model_name,
                 model_type=ModelType.IPAdapter,
-                base_model=BaseModelType.StableDiffusion1,  # HACK(ryand): Pass this in properly
+                base_model=ip_adapter.ip_adapter_model.base_model,
                 context=context,
             )
         )
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
index fa5c4533c2..10cde5bf49 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
@@ -15,6 +15,7 @@ import SDXLMainModelInputField from './inputs/SDXLMainModelInputField';
 import SchedulerInputField from './inputs/SchedulerInputField';
 import StringInputField from './inputs/StringInputField';
 import VaeModelInputField from './inputs/VaeModelInputField';
+import IPAdapterModelInputField from './inputs/IPAdapterModelInputField';
 
 type InputFieldProps = {
   nodeId: string;
@@ -147,6 +148,19 @@ const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => {
     );
   }
 
+  if (
+    field?.type === 'IPAdapterModelField' &&
+    fieldTemplate?.type === 'IPAdapterModelField'
+  ) {
+    return (
+      <IPAdapterModelInputField
+        nodeId={nodeId}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
   if (field?.type === 'ColorField' && fieldTemplate?.type === 'ColorField') {
     return (
       <ColorInputField
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterModelInputField.tsx
new file mode 100644
index 0000000000..637fa79f60
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterModelInputField.tsx
@@ -0,0 +1,100 @@
+import { SelectItem } from '@mantine/core';
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAIMantineSelect from 'common/components/IAIMantineSelect';
+import { fieldIPAdapterModelValueChanged } from 'features/nodes/store/nodesSlice';
+import {
+  IPAdapterModelInputFieldTemplate,
+  IPAdapterModelInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
+import { modelIdToIPAdapterModelParam } from 'features/parameters/util/modelIdToIPAdapterModelParams';
+import { forEach } from 'lodash-es';
+import { memo, useCallback, useMemo } from 'react';
+import { useGetIPAdapterModelsQuery } from 'services/api/endpoints/models';
+
+const IPAdapterModelInputFieldComponent = (
+  props: FieldComponentProps<
+    IPAdapterModelInputFieldValue,
+    IPAdapterModelInputFieldTemplate
+  >
+) => {
+  const { nodeId, field } = props;
+  const ipAdapterModel = field.value;
+  const dispatch = useAppDispatch();
+
+  const { data: ipAdapterModels } = useGetIPAdapterModelsQuery();
+
+  // grab the full model entity from the RTK Query cache
+  const selectedModel = useMemo(
+    () =>
+      ipAdapterModels?.entities[
+        `${ipAdapterModel?.base_model}/ip_adapter/${ipAdapterModel?.model_name}`
+      ] ?? null,
+    [
+      ipAdapterModel?.base_model,
+      ipAdapterModel?.model_name,
+      ipAdapterModels?.entities,
+    ]
+  );
+
+  const data = useMemo(() => {
+    if (!ipAdapterModels) {
+      return [];
+    }
+
+    const data: SelectItem[] = [];
+
+    forEach(ipAdapterModels.entities, (model, id) => {
+      if (!model) {
+        return;
+      }
+
+      data.push({
+        value: id,
+        label: model.model_name,
+        group: MODEL_TYPE_MAP[model.base_model],
+      });
+    });
+
+    return data;
+  }, [ipAdapterModels]);
+
+  const handleValueChanged = useCallback(
+    (v: string | null) => {
+      if (!v) {
+        return;
+      }
+
+      const newIPAdapterModel = modelIdToIPAdapterModelParam(v);
+
+      if (!newIPAdapterModel) {
+        return;
+      }
+
+      dispatch(
+        fieldIPAdapterModelValueChanged({
+          nodeId,
+          fieldName: field.name,
+          value: newIPAdapterModel,
+        })
+      );
+    },
+    [dispatch, field.name, nodeId]
+  );
+
+  return (
+    <IAIMantineSelect
+      className="nowheel nodrag"
+      tooltip={selectedModel?.description}
+      value={selectedModel?.id ?? null}
+      placeholder="Pick one"
+      error={!selectedModel}
+      data={data}
+      onChange={handleValueChanged}
+      sx={{ width: '100%' }}
+    />
+  );
+};
+
+export default memo(IPAdapterModelInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index 2ebed877ac..3e330cf710 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -41,6 +41,7 @@ import {
   IntegerInputFieldValue,
   InvocationNodeData,
   InvocationTemplate,
+  IPAdapterModelInputFieldValue,
   isInvocationNode,
   isNotesNode,
   LoRAModelInputFieldValue,
@@ -520,6 +521,12 @@ const nodesSlice = createSlice({
     ) => {
       fieldValueReducer(state, action);
     },
+    fieldIPAdapterModelValueChanged: (
+      state,
+      action: FieldValueAction<IPAdapterModelInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
     fieldEnumModelValueChanged: (
       state,
       action: FieldValueAction<EnumInputFieldValue>
@@ -866,6 +873,7 @@ export const {
   fieldLoRAModelValueChanged,
   fieldEnumModelValueChanged,
   fieldControlNetModelValueChanged,
+  fieldIPAdapterModelValueChanged,
   fieldRefinerModelValueChanged,
   fieldSchedulerValueChanged,
   nodeIsOpenChanged,
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index cd91607cd6..31d3ac67d3 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -40,6 +40,7 @@ export const POLYMORPHIC_TYPES = [
 ];
 
 export const MODEL_TYPES = [
+  'IPAdapterModelField',
   'ControlNetModelField',
   'LoRAModelField',
   'MainModelField',
@@ -240,6 +241,11 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     description: 'IP-Adapter info passed between nodes.',
     title: 'IP-Adapter',
   },
+  IPAdapterModelField: {
+    color: 'teal.500', // TODO(ryand): Pick a color
+    description: 'IP-Adapter model',
+    title: 'IP-Adapter Model',
+  },
   LatentsCollection: {
     color: 'pink.500',
     description: 'Latents may be passed between nodes.',
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index 076b0e0aff..c9b5b34956 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -94,6 +94,7 @@ export const zFieldType = z.enum([
   'IntegerCollection',
   'IntegerPolymorphic',
   'IPAdapterField',
+  'IPAdapterModelField',
   'LatentsCollection',
   'LatentsField',
   'LatentsPolymorphic',
@@ -389,9 +390,12 @@ export type ControlCollectionInputFieldValue = z.infer<
   typeof zControlCollectionInputFieldValue
 >;
 
+export const zIPAdapterModel = zModelIdentifier;
+export type IPAdapterModel = z.infer<typeof zIPAdapterModel>;
+
 export const zIPAdapterField = z.object({
   image: zImageField,
-  ip_adapter_model: z.string().trim().min(1),
+  ip_adapter_model: zIPAdapterModel,
   image_encoder_model: z.string().trim().min(1),
   weight: z.number(),
 });
@@ -554,6 +558,17 @@ export type ControlNetModelInputFieldValue = z.infer<
   typeof zControlNetModelInputFieldValue
 >;
 
+export const zIPAdapterModelField = zModelIdentifier;
+export type IPAdapterModelField = z.infer<typeof zIPAdapterModelField>;
+
+export const zIPAdapterModelInputFieldValue = zInputFieldValueBase.extend({
+  type: z.literal('IPAdapterModelField'),
+  value: zIPAdapterModelField.optional(),
+});
+export type IPAdapterModelInputFieldValue = z.infer<
+  typeof zIPAdapterModelInputFieldValue
+>;
+
 export const zCollectionInputFieldValue = zInputFieldValueBase.extend({
   type: z.literal('Collection'),
   value: z.array(z.any()).optional(), // TODO: should this field ever have a value?
@@ -637,6 +652,7 @@ export const zInputFieldValue = z.discriminatedUnion('type', [
   zIntegerPolymorphicInputFieldValue,
   zIntegerInputFieldValue,
   zIPAdapterInputFieldValue,
+  zIPAdapterModelInputFieldValue,
   zLatentsInputFieldValue,
   zLatentsCollectionInputFieldValue,
   zLatentsPolymorphicInputFieldValue,
@@ -881,6 +897,11 @@ export type ControlNetModelInputFieldTemplate = InputFieldTemplateBase & {
   type: 'ControlNetModelField';
 };
 
+export type IPAdapterModelInputFieldTemplate = InputFieldTemplateBase & {
+  default: string;
+  type: 'IPAdapterModelField';
+};
+
 export type CollectionInputFieldTemplate = InputFieldTemplateBase & {
   default: [];
   type: 'Collection';
@@ -953,6 +974,7 @@ export type InputFieldTemplate =
   | IntegerPolymorphicInputFieldTemplate
   | IntegerInputFieldTemplate
   | IPAdapterInputFieldTemplate
+  | IPAdapterModelInputFieldTemplate
   | LatentsInputFieldTemplate
   | LatentsCollectionInputFieldTemplate
   | LatentsPolymorphicInputFieldTemplate
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index ed15aeef5b..31b50da7ff 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -61,6 +61,7 @@ import {
   LatentsField,
   ConditioningField,
   IPAdapterInputFieldTemplate,
+  IPAdapterModelInputFieldTemplate,
 } from '../types/types';
 import { ControlField } from 'services/api/types';
 
@@ -436,6 +437,19 @@ const buildControlNetModelInputFieldTemplate = ({
   return template;
 };
 
+const buildIPAdapterModelInputFieldTemplate = ({
+  schemaObject,
+  baseField,
+}: BuildInputFieldArg): IPAdapterModelInputFieldTemplate => {
+  const template: IPAdapterModelInputFieldTemplate = {
+    ...baseField,
+    type: 'IPAdapterModelField',
+    default: schemaObject.default ?? undefined,
+  };
+
+  return template;
+};
+
 const buildImageInputFieldTemplate = ({
   schemaObject,
   baseField,
@@ -866,6 +880,7 @@ const TEMPLATE_BUILDER_MAP = {
   IntegerCollection: buildIntegerCollectionInputFieldTemplate,
   IntegerPolymorphic: buildIntegerPolymorphicInputFieldTemplate,
   IPAdapterField: buildIPAdapterInputFieldTemplate,
+  IPAdapterModelField: buildIPAdapterModelInputFieldTemplate,
   LatentsCollection: buildLatentsCollectionInputFieldTemplate,
   LatentsField: buildLatentsInputFieldTemplate,
   LatentsPolymorphic: buildLatentsPolymorphicInputFieldTemplate,
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
index 8ea7ce58ff..34a55a0240 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
@@ -30,6 +30,7 @@ const FIELD_VALUE_FALLBACK_MAP = {
   IntegerCollection: [],
   IntegerPolymorphic: 0,
   IPAdapterField: undefined,
+  IPAdapterModelField: undefined,
   LatentsCollection: [],
   LatentsField: undefined,
   LatentsPolymorphic: undefined,
diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
index 5a77231739..63e4883e6b 100644
--- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
@@ -323,7 +323,17 @@ export type ControlNetModelParam = z.infer<typeof zLoRAModel>;
 export const isValidControlNetModel = (
   val: unknown
 ): val is ControlNetModelParam => zControlNetModel.safeParse(val).success;
-
+/**
+ * Zod schema for IP-Adapter models
+ */
+export const zIPAdapterModel = z.object({
+  model_name: z.string().min(1),
+  base_model: zBaseModel,
+});
+/**
+ * Type alias for model parameter, inferred from its zod schema
+ */
+export type zIPAdapterModelParam = z.infer<typeof zIPAdapterModel>;
 /**
  * Zod schema for l2l strength parameter
  */
diff --git a/invokeai/frontend/web/src/features/parameters/util/modelIdToIPAdapterModelParams.ts b/invokeai/frontend/web/src/features/parameters/util/modelIdToIPAdapterModelParams.ts
new file mode 100644
index 0000000000..4d58046545
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/util/modelIdToIPAdapterModelParams.ts
@@ -0,0 +1,29 @@
+import { logger } from 'app/logging/logger';
+import { zIPAdapterModel } from 'features/parameters/types/parameterSchemas';
+import { IPAdapterModelField } from 'services/api/types';
+
+export const modelIdToIPAdapterModelParam = (
+  ipAdapterModelId: string
+): IPAdapterModelField | undefined => {
+  const log = logger('models');
+  const [base_model, _model_type, model_name] = ipAdapterModelId.split('/');
+
+  const result = zIPAdapterModel.safeParse({
+    base_model,
+    model_name,
+  });
+
+  if (!result.success) {
+    log.error(
+      {
+        ipAdapterModelId,
+        errors: result.error.format(),
+      },
+      'Failed to parse IP-Adapter model id'
+    );
+
+    return;
+  }
+
+  return result.data;
+};
diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts
index 9be8bd13f6..8b910e56e8 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/models.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts
@@ -5,6 +5,7 @@ import {
   BaseModelType,
   CheckpointModelConfig,
   ControlNetModelConfig,
+  IPAdapterModelConfig,
   DiffusersModelConfig,
   ImportModelConfig,
   LoRAModelConfig,
@@ -36,6 +37,10 @@ export type ControlNetModelConfigEntity = ControlNetModelConfig & {
   id: string;
 };
 
+export type IPAdapterModelConfigEntity = IPAdapterModelConfig & {
+  id: string;
+};
+
 export type TextualInversionModelConfigEntity = TextualInversionModelConfig & {
   id: string;
 };
@@ -47,6 +52,7 @@ type AnyModelConfigEntity =
   | OnnxModelConfigEntity
   | LoRAModelConfigEntity
   | ControlNetModelConfigEntity
+  | IPAdapterModelConfigEntity
   | TextualInversionModelConfigEntity
   | VaeModelConfigEntity;
 
@@ -135,6 +141,10 @@ export const controlNetModelsAdapter =
   createEntityAdapter<ControlNetModelConfigEntity>({
     sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
   });
+export const ipAdapterModelsAdapter =
+  createEntityAdapter<IPAdapterModelConfigEntity>({
+    sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
+  });
 export const textualInversionModelsAdapter =
   createEntityAdapter<TextualInversionModelConfigEntity>({
     sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
@@ -435,6 +445,37 @@ export const modelsApi = api.injectEndpoints({
         );
       },
     }),
+    getIPAdapterModels: build.query<
+      EntityState<IPAdapterModelConfigEntity>,
+      void
+    >({
+      query: () => ({ url: 'models/', params: { model_type: 'ip_adapter' } }),
+      providesTags: (result) => {
+        const tags: ApiFullTagDescription[] = [
+          { type: 'IPAdapterModel', id: LIST_TAG },
+        ];
+
+        if (result) {
+          tags.push(
+            ...result.ids.map((id) => ({
+              type: 'IPAdapterModel' as const,
+              id,
+            }))
+          );
+        }
+
+        return tags;
+      },
+      transformResponse: (response: { models: IPAdapterModelConfig[] }) => {
+        const entities = createModelEntities<IPAdapterModelConfigEntity>(
+          response.models
+        );
+        return ipAdapterModelsAdapter.setAll(
+          ipAdapterModelsAdapter.getInitialState(),
+          entities
+        );
+      },
+    }),
     getVaeModels: build.query<EntityState<VaeModelConfigEntity>, void>({
       query: () => ({ url: 'models/', params: { model_type: 'vae' } }),
       providesTags: (result) => {
@@ -533,6 +574,7 @@ export const {
   useGetMainModelsQuery,
   useGetOnnxModelsQuery,
   useGetControlNetModelsQuery,
+  useGetIPAdapterModelsQuery,
   useGetLoRAModelsQuery,
   useGetTextualInversionModelsQuery,
   useGetVaeModelsQuery,
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 3c8ce1e761..324e49a4b3 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -2429,9 +2429,9 @@ export type components = {
       image: components["schemas"]["ImageField"];
       /**
        * Ip Adapter Model
-       * @description The name of the IP-Adapter model.
+       * @description The IP-Adapter model to use.
        */
-      ip_adapter_model: string;
+      ip_adapter_model: components["schemas"]["IPAdapterModelField"];
       /**
        * Image Encoder Model
        * @description The name of the CLIP image encoder model.
@@ -2472,11 +2472,9 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * IP-Adapter Model
-       * @description The name of the IP-Adapter model.
-       * @default ip-adapter_sd15.bin
-       * @enum {string}
+       * @description The IP-Adapter model.
        */
-      ip_adapter_model?: "ip-adapter_sd15" | "ip-adapter-plus_sd15" | "ip-adapter-plus-face_sd15" | "ip-adapter_sdxl";
+      ip_adapter_model: components["schemas"]["IPAdapterModelField"];
       /**
        * Image Encoder Model
        * @description The name of the CLIP image encoder model.
@@ -2518,6 +2516,16 @@ export type components = {
       model_format: "checkpoint";
       error?: components["schemas"]["ModelError"];
     };
+    /** IPAdapterModelField */
+    IPAdapterModelField: {
+      /**
+       * Model Name
+       * @description Name of the IP-Adapter model
+       */
+      model_name: string;
+      /** @description Base model */
+      base_model: components["schemas"]["BaseModelType"];
+    };
     /**
      * IPAdapterOutput
      * @description Base class for all invocation outputs.
@@ -7188,7 +7196,7 @@ export type components = {
      * If a field should be provided a data type that does not exactly match the python type of the field,     use this to provide the type that should be used instead. See the node development docs for detail     on adding a new field type, which involves client-side changes.
      * @enum {string}
      */
-    UIType: "boolean" | "ColorField" | "ConditioningField" | "ControlField" | "float" | "ImageField" | "integer" | "LatentsField" | "string" | "BooleanCollection" | "ColorCollection" | "ConditioningCollection" | "ControlCollection" | "FloatCollection" | "ImageCollection" | "IntegerCollection" | "LatentsCollection" | "StringCollection" | "BooleanPolymorphic" | "ColorPolymorphic" | "ConditioningPolymorphic" | "ControlPolymorphic" | "FloatPolymorphic" | "ImagePolymorphic" | "IntegerPolymorphic" | "LatentsPolymorphic" | "StringPolymorphic" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "enum" | "Scheduler" | "WorkflowField" | "IsIntermediate" | "MetadataField";
+    UIType: "boolean" | "ColorField" | "ConditioningField" | "ControlField" | "float" | "ImageField" | "integer" | "LatentsField" | "string" | "BooleanCollection" | "ColorCollection" | "ConditioningCollection" | "ControlCollection" | "FloatCollection" | "ImageCollection" | "IntegerCollection" | "LatentsCollection" | "StringCollection" | "BooleanPolymorphic" | "ColorPolymorphic" | "ConditioningPolymorphic" | "ControlPolymorphic" | "FloatPolymorphic" | "ImagePolymorphic" | "IntegerPolymorphic" | "LatentsPolymorphic" | "StringPolymorphic" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "IPAdapterModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "enum" | "Scheduler" | "WorkflowField" | "IsIntermediate" | "MetadataField";
     /**
      * UIComponent
      * @description The type of UI component to use for a field, used to override the default components, which are     inferred from the field type.
@@ -7227,12 +7235,6 @@ export type components = {
       /** Ui Order */
       ui_order?: number;
     };
-    /**
-     * StableDiffusion2ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * ControlNetModelFormat
      * @description An enumeration.
@@ -7246,11 +7248,17 @@ export type components = {
      */
     IPAdapterModelFormat: "checkpoint";
     /**
-     * StableDiffusionXLModelFormat
+     * StableDiffusion2ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionOnnxModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
      * StableDiffusion1ModelFormat
      * @description An enumeration.
@@ -7258,11 +7266,11 @@ export type components = {
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
-     * StableDiffusionOnnxModelFormat
+     * StableDiffusionXLModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index bae60ff701..23db4dae66 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -60,6 +60,7 @@ export type OnnxModelField = s['OnnxModelField'];
 export type VAEModelField = s['VAEModelField'];
 export type LoRAModelField = s['LoRAModelField'];
 export type ControlNetModelField = s['ControlNetModelField'];
+export type IPAdapterModelField = s['IPAdapterModelField'];
 export type ModelsList = s['ModelsList'];
 export type ControlField = s['ControlField'];
 
@@ -73,6 +74,9 @@ export type ControlNetModelDiffusersConfig =
 export type ControlNetModelConfig =
   | ControlNetModelCheckpointConfig
   | ControlNetModelDiffusersConfig;
+export type IPAdapterModelCheckpointConfig =
+  s['IPAdapterModelCheckpointConfig'];
+export type IPAdapterModelConfig = IPAdapterModelCheckpointConfig;
 export type TextualInversionModelConfig = s['TextualInversionModelConfig'];
 export type DiffusersModelConfig =
   | s['StableDiffusion1ModelDiffusersConfig']
@@ -88,6 +92,7 @@ export type AnyModelConfig =
   | LoRAModelConfig
   | VaeModelConfig
   | ControlNetModelConfig
+  | IPAdapterModelConfig
   | TextualInversionModelConfig
   | MainModelConfig
   | OnnxModelConfig;

From d989c7fa34d0f4981862e0decef62577fe978a6e Mon Sep 17 00:00:00 2001
From: Mary Hipp Rogers <maryhipp@gmail.com>
Date: Wed, 13 Sep 2023 16:48:10 -0400
Subject: [PATCH 123/265] add option for custom star ui (#4530)

Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
---
 .../frontend/web/src/app/components/App.tsx   | 10 +++++++++
 .../web/src/app/components/InvokeAIUI.tsx     |  4 ++++
 .../MultipleSelectionMenuItems.tsx            | 13 ++++++++----
 .../SingleSelectionMenuItems.tsx              | 16 ++++++++++----
 .../components/ImageGrid/GalleryImage.tsx     | 21 +++++++++++++++----
 .../web/src/features/ui/store/uiSlice.ts      |  7 ++++++-
 .../web/src/features/ui/store/uiTypes.ts      | 13 ++++++++++++
 7 files changed, 71 insertions(+), 13 deletions(-)

diff --git a/invokeai/frontend/web/src/app/components/App.tsx b/invokeai/frontend/web/src/app/components/App.tsx
index a70ed03fda..aa1919abfb 100644
--- a/invokeai/frontend/web/src/app/components/App.tsx
+++ b/invokeai/frontend/web/src/app/components/App.tsx
@@ -18,6 +18,8 @@ import { usePreselectedImage } from '../../features/parameters/hooks/usePreselec
 import AppErrorBoundaryFallback from './AppErrorBoundaryFallback';
 import GlobalHotkeys from './GlobalHotkeys';
 import Toaster from './Toaster';
+import { CustomStarUi } from '../../features/ui/store/uiTypes';
+import { setCustomStarUi } from '../../features/ui/store/uiSlice';
 
 const DEFAULT_CONFIG = {};
 
@@ -28,12 +30,14 @@ interface Props {
     imageName: string;
     action: 'sendToImg2Img' | 'sendToCanvas' | 'useAllParameters';
   };
+  customStarUi?: CustomStarUi;
 }
 
 const App = ({
   config = DEFAULT_CONFIG,
   headerComponent,
   selectedImage,
+  customStarUi,
 }: Props) => {
   const language = useAppSelector(languageSelector);
 
@@ -57,6 +61,12 @@ const App = ({
     }
   }, [dispatch, config, logger]);
 
+  useEffect(() => {
+    if (customStarUi) {
+      dispatch(setCustomStarUi(customStarUi));
+    }
+  }, [customStarUi, dispatch]);
+
   useEffect(() => {
     dispatch(appStarted());
   }, [dispatch]);
diff --git a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
index 322ee3fd2b..36636b3ca9 100644
--- a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
+++ b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
@@ -15,6 +15,7 @@ import { socketMiddleware } from 'services/events/middleware';
 import Loading from '../../common/components/Loading/Loading';
 import '../../i18n';
 import AppDndContext from '../../features/dnd/components/AppDndContext';
+import { CustomStarUi } from '../../features/ui/store/uiTypes';
 
 const App = lazy(() => import('./App'));
 const ThemeLocaleProvider = lazy(() => import('./ThemeLocaleProvider'));
@@ -30,6 +31,7 @@ interface Props extends PropsWithChildren {
     imageName: string;
     action: 'sendToImg2Img' | 'sendToCanvas' | 'useAllParameters';
   };
+  customStarUi?: CustomStarUi;
 }
 
 const InvokeAIUI = ({
@@ -40,6 +42,7 @@ const InvokeAIUI = ({
   middleware,
   projectId,
   selectedImage,
+  customStarUi,
 }: Props) => {
   useEffect(() => {
     // configure API client token
@@ -90,6 +93,7 @@ const InvokeAIUI = ({
                 config={config}
                 headerComponent={headerComponent}
                 selectedImage={selectedImage}
+                customStarUi={customStarUi}
               />
             </AppDndContext>
           </ThemeLocaleProvider>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
index bf2b344b4c..e2a9013aac 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
@@ -12,10 +12,12 @@ import {
   useStarImagesMutation,
   useUnstarImagesMutation,
 } from '../../../../services/api/endpoints/images';
+import { uiSelector } from '../../../ui/store/uiSelectors';
 
 const MultipleSelectionMenuItems = () => {
   const dispatch = useAppDispatch();
   const selection = useAppSelector((state) => state.gallery.selection);
+  const { customStarUi } = useAppSelector(uiSelector);
 
   const [starImages] = useStarImagesMutation();
   const [unstarImages] = useUnstarImagesMutation();
@@ -49,15 +51,18 @@ const MultipleSelectionMenuItems = () => {
     <>
       {areAllStarred && (
         <MenuItem
-          icon={<MdStarBorder />}
+          icon={customStarUi ? customStarUi.on.icon : <MdStarBorder />}
           onClickCapture={handleUnstarSelection}
         >
-          Unstar All
+          {customStarUi ? customStarUi.off.text : `Unstar All`}
         </MenuItem>
       )}
       {(areAllUnstarred || (!areAllStarred && !areAllUnstarred)) && (
-        <MenuItem icon={<MdStar />} onClickCapture={handleStarSelection}>
-          Star All
+        <MenuItem
+          icon={customStarUi ? customStarUi.on.icon : <MdStar />}
+          onClickCapture={handleStarSelection}
+        >
+          {customStarUi ? customStarUi.on.text : `Star All`}
         </MenuItem>
       )}
       <MenuItem icon={<FaFolder />} onClickCapture={handleChangeBoard}>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index 46c84e85ce..68c5c2e1ae 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -35,6 +35,7 @@ import { ImageDTO } from 'services/api/types';
 import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
 import { workflowLoadRequested } from 'features/nodes/store/actions';
 import { configSelector } from '../../../system/store/configSelectors';
+import { uiSelector } from '../../../ui/store/uiSelectors';
 
 type SingleSelectionMenuItemsProps = {
   imageDTO: ImageDTO;
@@ -50,6 +51,7 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
 
   const isCanvasEnabled = useFeatureStatus('unifiedCanvas').isFeatureEnabled;
   const { shouldFetchMetadataFromApi } = useAppSelector(configSelector);
+  const { customStarUi } = useAppSelector(uiSelector);
 
   const { metadata, workflow, isLoading } = useGetImageMetadataFromFileQuery(
     { image: imageDTO, shouldFetchMetadataFromApi },
@@ -225,12 +227,18 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
         Change Board
       </MenuItem>
       {imageDTO.starred ? (
-        <MenuItem icon={<MdStar />} onClickCapture={handleUnstarImage}>
-          Unstar Image
+        <MenuItem
+          icon={customStarUi ? customStarUi.off.icon : <MdStar />}
+          onClickCapture={handleUnstarImage}
+        >
+          {customStarUi ? customStarUi.off.text : `Unstar Image`}
         </MenuItem>
       ) : (
-        <MenuItem icon={<MdStarBorder />} onClickCapture={handleStarImage}>
-          Star Image
+        <MenuItem
+          icon={customStarUi ? customStarUi.on.icon : <MdStarBorder />}
+          onClickCapture={handleStarImage}
+        >
+          {customStarUi ? customStarUi.on.text : `Star Image`}
         </MenuItem>
       )}
       <MenuItem
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
index fe9d891b23..6c34bc31b8 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
@@ -18,6 +18,7 @@ import {
   useUnstarImagesMutation,
 } from 'services/api/endpoints/images';
 import IAIDndImageIcon from '../../../../common/components/IAIDndImageIcon';
+import { uiSelector } from '../../../ui/store/uiSelectors';
 import { useTranslation } from 'react-i18next';
 
 interface HoverableImageProps {
@@ -34,6 +35,8 @@ const GalleryImage = (props: HoverableImageProps) => {
   const { handleClick, isSelected, selection, selectionCount } =
     useMultiselect(imageDTO);
 
+  const { customStarUi } = useAppSelector(uiSelector);
+
   const handleDelete = useCallback(
     (e: MouseEvent<HTMLButtonElement>) => {
       e.stopPropagation();
@@ -91,12 +94,22 @@ const GalleryImage = (props: HoverableImageProps) => {
 
   const starIcon = useMemo(() => {
     if (imageDTO?.starred) {
-      return <MdStar size="20" />;
+      return customStarUi ? customStarUi.on.icon : <MdStar size="20" />;
     }
     if (!imageDTO?.starred && isHovered) {
-      return <MdStarBorder size="20" />;
+      return customStarUi ? customStarUi.off.icon : <MdStarBorder size="20" />;
     }
-  }, [imageDTO?.starred, isHovered]);
+  }, [imageDTO?.starred, isHovered, customStarUi]);
+
+  const starTooltip = useMemo(() => {
+    if (imageDTO?.starred) {
+      return customStarUi ? customStarUi.off.text : 'Unstar';
+    }
+    if (!imageDTO?.starred) {
+      return customStarUi ? customStarUi.on.text : 'Star';
+    }
+    return '';
+  }, [imageDTO?.starred, customStarUi]);
 
   if (!imageDTO) {
     return <IAIFillSkeleton />;
@@ -131,7 +144,7 @@ const GalleryImage = (props: HoverableImageProps) => {
             <IAIDndImageIcon
               onClick={toggleStarredState}
               icon={starIcon}
-              tooltip={imageDTO.starred ? 'Unstar' : 'Star'}
+              tooltip={starTooltip}
             />
 
             {isHovered && shift && (
diff --git a/invokeai/frontend/web/src/features/ui/store/uiSlice.ts b/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
index 82c9ef4e77..33edc6308f 100644
--- a/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
+++ b/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
@@ -4,7 +4,7 @@ import { initialImageChanged } from 'features/parameters/store/generationSlice';
 import { SchedulerParam } from 'features/parameters/types/parameterSchemas';
 import { setActiveTabReducer } from './extraReducers';
 import { InvokeTabName } from './tabMap';
-import { UIState } from './uiTypes';
+import { CustomStarUi, UIState } from './uiTypes';
 
 export const initialUIState: UIState = {
   activeTab: 0,
@@ -19,6 +19,7 @@ export const initialUIState: UIState = {
   favoriteSchedulers: [],
   globalContextMenuCloseTrigger: 0,
   panels: {},
+  customStarUi: undefined,
 };
 
 export const uiSlice = createSlice({
@@ -70,6 +71,9 @@ export const uiSlice = createSlice({
     ) => {
       state.panels[action.payload.name] = action.payload.value;
     },
+    setCustomStarUi: (state, action: PayloadAction<CustomStarUi>) => {
+      state.customStarUi = action.payload;
+    },
   },
   extraReducers(builder) {
     builder.addCase(initialImageChanged, (state) => {
@@ -91,6 +95,7 @@ export const {
   setShouldAutoChangeDimensions,
   contextMenusClosed,
   panelsChanged,
+  setCustomStarUi,
 } = uiSlice.actions;
 
 export default uiSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/ui/store/uiTypes.ts b/invokeai/frontend/web/src/features/ui/store/uiTypes.ts
index 41a359a651..8f7b1999a4 100644
--- a/invokeai/frontend/web/src/features/ui/store/uiTypes.ts
+++ b/invokeai/frontend/web/src/features/ui/store/uiTypes.ts
@@ -1,3 +1,4 @@
+import { MenuItemProps } from '@chakra-ui/react';
 import { SchedulerParam } from 'features/parameters/types/parameterSchemas';
 
 export type Coordinates = {
@@ -12,6 +13,17 @@ export type Dimensions = {
 
 export type Rect = Coordinates & Dimensions;
 
+export type CustomStarUi = {
+  on: {
+    icon: MenuItemProps['icon'];
+    text: string;
+  };
+  off: {
+    icon: MenuItemProps['icon'];
+    text: string;
+  };
+};
+
 export interface UIState {
   activeTab: number;
   shouldShowImageDetails: boolean;
@@ -25,4 +37,5 @@ export interface UIState {
   favoriteSchedulers: SchedulerParam[];
   globalContextMenuCloseTrigger: number;
   panels: Record<string, string>;
+  customStarUi?: CustomStarUi;
 }

From 3d52656176e66635f6593a2d98eb93bc91640a0d Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 13 Sep 2023 17:14:20 -0400
Subject: [PATCH 124/265] Add CLIPVisionModel to model management.

---
 .../backend/model_management/model_probe.py   | 35 ++++++--
 .../model_management/models/__init__.py       |  5 ++
 .../backend/model_management/models/base.py   |  1 +
 .../model_management/models/clip_vision.py    | 82 +++++++++++++++++++
 4 files changed, 115 insertions(+), 8 deletions(-)
 create mode 100644 invokeai/backend/model_management/models/clip_vision.py

diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 6750e0fe6a..71e5b89e0f 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -8,6 +8,8 @@ import torch
 from diffusers import ConfigMixin, ModelMixin
 from picklescan.scanner import scan_file_path
 
+from invokeai.backend.model_management.models import BaseModelType
+
 from .models import (
     BaseModelType,
     InvalidModelException,
@@ -53,6 +55,7 @@ class ModelProbe(object):
         "AutoencoderKL": ModelType.Vae,
         "ControlNetModel": ModelType.ControlNet,
         "IPAdapterModel": ModelType.IPAdapter,
+        "CLIPVision": ModelType.CLIPVision,
     }
 
     @classmethod
@@ -119,14 +122,18 @@ class ModelProbe(object):
                     and prediction_type == SchedulerPredictionType.VPrediction
                 ),
                 format=format,
-                image_size=1024
-                if (base_type in {BaseModelType.StableDiffusionXL, BaseModelType.StableDiffusionXLRefiner})
-                else 768
-                if (
-                    base_type == BaseModelType.StableDiffusion2
-                    and prediction_type == SchedulerPredictionType.VPrediction
-                )
-                else 512,
+                image_size=(
+                    1024
+                    if (base_type in {BaseModelType.StableDiffusionXL, BaseModelType.StableDiffusionXLRefiner})
+                    else (
+                        768
+                        if (
+                            base_type == BaseModelType.StableDiffusion2
+                            and prediction_type == SchedulerPredictionType.VPrediction
+                        )
+                        else 512
+                    )
+                ),
             )
         except Exception:
             raise
@@ -372,6 +379,11 @@ class IPAdapterCheckpointProbe(CheckpointProbeBase):
         raise NotImplementedError()
 
 
+class CLIPVisionCheckpointProbe(CheckpointProbeBase):
+    def get_base_type(self) -> BaseModelType:
+        raise NotImplementedError()
+
+
 ########################################################
 # classes for probing folders
 #######################################################
@@ -520,6 +532,11 @@ class IPAdapterFolderProbe(FolderProbeBase):
         raise NotImplementedError()
 
 
+class CLIPVisionFolderProbe(FolderProbeBase):
+    def get_base_type(self) -> BaseModelType:
+        raise NotImplementedError()
+
+
 ############## register probe classes ######
 ModelProbe.register_probe("diffusers", ModelType.Main, PipelineFolderProbe)
 ModelProbe.register_probe("diffusers", ModelType.Vae, VaeFolderProbe)
@@ -527,6 +544,7 @@ ModelProbe.register_probe("diffusers", ModelType.Lora, LoRAFolderProbe)
 ModelProbe.register_probe("diffusers", ModelType.TextualInversion, TextualInversionFolderProbe)
 ModelProbe.register_probe("diffusers", ModelType.ControlNet, ControlNetFolderProbe)
 ModelProbe.register_probe("diffusers", ModelType.IPAdapter, IPAdapterFolderProbe)
+ModelProbe.register_probe("diffusers", ModelType.CLIPVision, CLIPVisionFolderProbe)
 
 ModelProbe.register_probe("checkpoint", ModelType.Main, PipelineCheckpointProbe)
 ModelProbe.register_probe("checkpoint", ModelType.Vae, VaeCheckpointProbe)
@@ -534,5 +552,6 @@ ModelProbe.register_probe("checkpoint", ModelType.Lora, LoRACheckpointProbe)
 ModelProbe.register_probe("checkpoint", ModelType.TextualInversion, TextualInversionCheckpointProbe)
 ModelProbe.register_probe("checkpoint", ModelType.ControlNet, ControlNetCheckpointProbe)
 ModelProbe.register_probe("checkpoint", ModelType.IPAdapter, IPAdapterCheckpointProbe)
+ModelProbe.register_probe("checkpoint", ModelType.CLIPVision, CLIPVisionCheckpointProbe)
 
 ModelProbe.register_probe("onnx", ModelType.ONNX, ONNXFolderProbe)
diff --git a/invokeai/backend/model_management/models/__init__.py b/invokeai/backend/model_management/models/__init__.py
index cc9d1f4055..deeaf33bca 100644
--- a/invokeai/backend/model_management/models/__init__.py
+++ b/invokeai/backend/model_management/models/__init__.py
@@ -18,6 +18,7 @@ from .base import (  # noqa: F401
     SilenceWarnings,
     SubModelType,
 )
+from .clip_vision import CLIPVisionModel
 from .controlnet import ControlNetModel  # TODO:
 from .ip_adapter import IPAdapterModel
 from .lora import LoRAModel
@@ -36,6 +37,7 @@ MODEL_CLASSES = {
         ModelType.ControlNet: ControlNetModel,
         ModelType.TextualInversion: TextualInversionModel,
         ModelType.IPAdapter: IPAdapterModel,
+        ModelType.CLIPVision: CLIPVisionModel,
     },
     BaseModelType.StableDiffusion2: {
         ModelType.ONNX: ONNXStableDiffusion2Model,
@@ -45,6 +47,7 @@ MODEL_CLASSES = {
         ModelType.ControlNet: ControlNetModel,
         ModelType.TextualInversion: TextualInversionModel,
         ModelType.IPAdapter: IPAdapterModel,
+        ModelType.CLIPVision: CLIPVisionModel,
     },
     BaseModelType.StableDiffusionXL: {
         ModelType.Main: StableDiffusionXLModel,
@@ -55,6 +58,7 @@ MODEL_CLASSES = {
         ModelType.TextualInversion: TextualInversionModel,
         ModelType.ONNX: ONNXStableDiffusion2Model,
         ModelType.IPAdapter: IPAdapterModel,
+        ModelType.CLIPVision: CLIPVisionModel,
     },
     BaseModelType.StableDiffusionXLRefiner: {
         ModelType.Main: StableDiffusionXLModel,
@@ -65,6 +69,7 @@ MODEL_CLASSES = {
         ModelType.TextualInversion: TextualInversionModel,
         ModelType.ONNX: ONNXStableDiffusion2Model,
         ModelType.IPAdapter: IPAdapterModel,
+        ModelType.CLIPVision: CLIPVisionModel,
     },
     # BaseModelType.Kandinsky2_1: {
     #    ModelType.Main: Kandinsky2_1Model,
diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py
index 0bff479412..f69baf50fd 100644
--- a/invokeai/backend/model_management/models/base.py
+++ b/invokeai/backend/model_management/models/base.py
@@ -62,6 +62,7 @@ class ModelType(str, Enum):
     ControlNet = "controlnet"  # used by model_probe
     TextualInversion = "embedding"
     IPAdapter = "ip_adapter"
+    CLIPVision = "clip_vision"
 
 
 class SubModelType(str, Enum):
diff --git a/invokeai/backend/model_management/models/clip_vision.py b/invokeai/backend/model_management/models/clip_vision.py
new file mode 100644
index 0000000000..7df3119f9c
--- /dev/null
+++ b/invokeai/backend/model_management/models/clip_vision.py
@@ -0,0 +1,82 @@
+import os
+from enum import Enum
+from typing import Literal, Optional
+
+import torch
+from transformers import CLIPVisionModelWithProjection
+
+from invokeai.backend.model_management.models.base import (
+    BaseModelType,
+    InvalidModelException,
+    ModelBase,
+    ModelConfigBase,
+    ModelType,
+    SubModelType,
+    calc_model_size_by_data,
+    calc_model_size_by_fs,
+    classproperty,
+)
+
+
+class CLIPVisionModelFormat(str, Enum):
+    Diffusers = "diffusers"
+
+
+class CLIPVisionModel(ModelBase):
+    class DiffusersConfig(ModelConfigBase):
+        model_format: Literal[CLIPVisionModelFormat.Diffusers]
+
+    def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType):
+        assert model_type == ModelType.CLIPVision
+        super().__init__(model_path, base_model, model_type)
+
+        self.model_size = calc_model_size_by_fs(self.model_path)
+
+    @classmethod
+    def detect_format(cls, path: str) -> str:
+        if not os.path.exists(path):
+            raise ModuleNotFoundError(f"No CLIP Vision model at path '{path}'.")
+
+        if os.path.isdir(path) and os.path.exists(os.path.join(path, "config.json")):
+            return CLIPVisionModelFormat.Diffusers
+
+        raise InvalidModelException(f"Unexpected CLIP Vision model format: {path}")
+
+    @classproperty
+    def save_to_config(cls) -> bool:
+        return True
+
+    def get_size(self, child_type: Optional[SubModelType] = None) -> int:
+        if child_type is not None:
+            raise ValueError("There are no child models in a CLIP Vision model.")
+
+        return self.model_size
+
+    def get_model(
+        self,
+        torch_dtype: Optional[torch.dtype],
+        child_type: Optional[SubModelType] = None,
+    ) -> CLIPVisionModelWithProjection:
+        if child_type is not None:
+            raise ValueError("There are no child models in a CLIP Vision model.")
+
+        model = CLIPVisionModelWithProjection.from_pretrained(self._image_encoder_path, torch_dtype=torch_dtype)
+
+        # Calculate a more accurate model size.
+        self.model_size = calc_model_size_by_data(model)
+
+        return model
+
+    @classmethod
+    def convert_if_required(
+        cls,
+        model_path: str,
+        output_path: str,
+        config: ModelConfigBase,
+        base_model: BaseModelType,
+    ) -> str:
+        format = cls.detect_format(model_path)
+        if format == CLIPVisionModelFormat.Diffusers:
+            return model_path
+        else:
+            raise ValueError(f"Unsupported format: '{format}'.")

From 1c8991a3df372da3d51e0daeec7777d98c1cebeb Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 13 Sep 2023 19:10:02 -0400
Subject: [PATCH 125/265] Use CLIPVisionModel under model management for
 IP-Adapter.

---
 invokeai/app/invocations/latent.py            | 39 +++++++++++++++++--
 invokeai/backend/ip_adapter/ip_adapter.py     | 35 ++++++++---------
 .../model_management/models/clip_vision.py    |  2 +-
 .../model_management/models/ip_adapter.py     | 12 +-----
 .../stable_diffusion/diffusers_pipeline.py    | 17 +-------
 5 files changed, 57 insertions(+), 48 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 8660f6c353..7c13eacdbb 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -8,6 +8,7 @@ import numpy as np
 import torch
 import torchvision.transforms as T
 from diffusers.image_processor import VaeImageProcessor
+from diffusers.models import UNet2DConditionModel
 from diffusers.models.attention_processor import (
     AttnProcessor2_0,
     LoRAAttnProcessor2_0,
@@ -32,9 +33,11 @@ from invokeai.app.invocations.primitives import (
 )
 from invokeai.app.util.controlnet_utils import prepare_control_image
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
+from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
 from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
     ConditioningData,
+    IPAdapterConditioningInfo,
 )
 
 from ...backend.model_management.lora import ModelPatcher
@@ -403,14 +406,25 @@ class DenoiseLatentsInvocation(BaseInvocation):
         self,
         context: InvocationContext,
         ip_adapter: Optional[IPAdapterField],
+        conditioning_data: ConditioningData,
+        unet: UNet2DConditionModel,
         exit_stack: ExitStack,
     ) -> Optional[IPAdapterData]:
+        """If IP-Adapter is enabled, then this function loads the requisite models, and adds the image prompt embeddings
+        to the `conditioning_data` (in-place).
+        """
         if ip_adapter is None:
             return None
 
-        input_image = context.services.images.get_pil_image(ip_adapter.image.image_name)
+        image_encoder_model_info = context.services.model_manager.get_model(
+            # TODO(ryand): Get this model_name from the IPAdapterField.
+            model_name="ip_adapter_clip_vision",
+            model_type=ModelType.CLIPVision,
+            base_model=ip_adapter.ip_adapter_model.base_model,
+            context=context,
+        )
 
-        ip_adapter_model = exit_stack.enter_context(
+        ip_adapter_model: Union[IPAdapter, IPAdapterPlus] = exit_stack.enter_context(
             context.services.model_manager.get_model(
                 model_name=ip_adapter.ip_adapter_model.model_name,
                 model_type=ModelType.IPAdapter,
@@ -418,9 +432,26 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 context=context,
             )
         )
+
+        input_image = context.services.images.get_pil_image(ip_adapter.image.image_name)
+
+        # TODO(ryand): With some effort, the step of running the CLIP Vision encoder could be done before any other
+        # models are needed in memory. This would help to reduce peak memory utilization in low-memory environments.
+        with image_encoder_model_info as image_encoder_model:
+            if not ip_adapter_model.is_initialized():
+                # TODO(ryan): Do we need to initialize every time? How long does initialize take?
+                ip_adapter_model.initialize(unet, image_encoder_model)
+
+            # Get image embeddings from CLIP and ImageProjModel.
+            image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter_model.get_image_embeds(
+                input_image, image_encoder_model
+            )
+            conditioning_data.ip_adapter_conditioning = IPAdapterConditioningInfo(
+                image_prompt_embeds, uncond_image_prompt_embeds
+            )
+
         return IPAdapterData(
             ip_adapter_model=ip_adapter_model,
-            image=input_image,
             weight=ip_adapter.weight,
         )
 
@@ -552,6 +583,8 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 ip_adapter_data = self.prep_ip_adapter_data(
                     context=context,
                     ip_adapter=self.ip_adapter,
+                    conditioning_data=conditioning_data,
+                    unet=unet,
                     exit_stack=exit_stack,
                 )
 
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 7f95750aaf..8d70986594 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -46,7 +46,6 @@ class IPAdapter:
 
     def __init__(
         self,
-        image_encoder_path: str,
         ip_adapter_ckpt_path: str,
         device: torch.device,
         dtype: torch.dtype = torch.float16,
@@ -55,13 +54,9 @@ class IPAdapter:
         self.device = device
         self.dtype = dtype
 
-        self._image_encoder_path = image_encoder_path
         self._ip_adapter_ckpt_path = ip_adapter_ckpt_path
         self._num_tokens = num_tokens
 
-        self._image_encoder = CLIPVisionModelWithProjection.from_pretrained(self._image_encoder_path).to(
-            self.device, dtype=self.dtype
-        )
         self._clip_image_processor = CLIPImageProcessor()
 
         # Fields to be initialized later in initialize().
@@ -74,7 +69,7 @@ class IPAdapter:
     def is_initialized(self):
         return self._unet is not None and self._image_proj_model is not None and self._attn_processors is not None
 
-    def initialize(self, unet: UNet2DConditionModel):
+    def initialize(self, unet: UNet2DConditionModel, image_encoder: CLIPVisionModelWithProjection):
         """Finish the model initialization process.
 
         HACK: This is separate from __init__ for compatibility with the model manager. The full initialization requires
@@ -87,7 +82,9 @@ class IPAdapter:
             raise Exception("IPAdapter has already been initialized.")
 
         self._unet = unet
-        self._image_proj_model = self._init_image_proj_model()
+        # TODO(ryand): Eliminate the need to pass the image_encoder to initialize(). It should be possible to infer the
+        # necessary information from the state_dict.
+        self._image_proj_model = self._init_image_proj_model(image_encoder)
         self._attn_processors = self._prepare_attention_processors()
 
         # Copy the weights from the _state_dict into the models.
@@ -102,16 +99,16 @@ class IPAdapter:
         if dtype is not None:
             self.dtype = dtype
 
-        for model in [self._image_encoder, self._image_proj_model, self._attn_processors]:
+        for model in [self._image_proj_model, self._attn_processors]:
             # If this is called before initialize(), then some models will still be None. We just update the non-None
             # models.
             if model is not None:
                 model.to(device=self.device, dtype=self.dtype)
 
-    def _init_image_proj_model(self):
+    def _init_image_proj_model(self, image_encoder: CLIPVisionModelWithProjection):
         image_proj_model = ImageProjModel(
             cross_attention_dim=self._unet.config.cross_attention_dim,
-            clip_embeddings_dim=self._image_encoder.config.projection_dim,
+            clip_embeddings_dim=image_encoder.config.projection_dim,
             clip_extra_context_tokens=self._num_tokens,
         ).to(self.device, dtype=self.dtype)
         return image_proj_model
@@ -162,14 +159,14 @@ class IPAdapter:
             self._unet.set_attn_processor(orig_attn_processors)
 
     @torch.inference_mode()
-    def get_image_embeds(self, pil_image):
+    def get_image_embeds(self, pil_image, image_encoder: CLIPVisionModelWithProjection):
         if not self.is_initialized():
             raise Exception("Call IPAdapter.initialize() before calling IPAdapter.get_image_embeds().")
 
         if isinstance(pil_image, Image.Image):
             pil_image = [pil_image]
         clip_image = self._clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
-        clip_image_embeds = self._image_encoder(clip_image.to(self.device, dtype=self.dtype)).image_embeds
+        clip_image_embeds = image_encoder(clip_image.to(self.device, dtype=self.dtype)).image_embeds
         image_prompt_embeds = self._image_proj_model(clip_image_embeds)
         uncond_image_prompt_embeds = self._image_proj_model(torch.zeros_like(clip_image_embeds))
         return image_prompt_embeds, uncond_image_prompt_embeds
@@ -186,21 +183,21 @@ class IPAdapter:
 class IPAdapterPlus(IPAdapter):
     """IP-Adapter with fine-grained features"""
 
-    def _init_image_proj_model(self):
+    def _init_image_proj_model(self, image_encoder: CLIPVisionModelWithProjection):
         image_proj_model = Resampler(
             dim=self._unet.config.cross_attention_dim,
             depth=4,
             dim_head=64,
             heads=12,
             num_queries=self._num_tokens,
-            embedding_dim=self._image_encoder.config.hidden_size,
+            embedding_dim=image_encoder.config.hidden_size,
             output_dim=self._unet.config.cross_attention_dim,
             ff_mult=4,
         ).to(self.device, dtype=self.dtype)
         return image_proj_model
 
     @torch.inference_mode()
-    def get_image_embeds(self, pil_image):
+    def get_image_embeds(self, pil_image, image_encoder: CLIPVisionModelWithProjection):
         if not self.is_initialized():
             raise Exception("Call IPAdapter.initialize() before calling IPAdapter.get_image_embeds().")
 
@@ -208,10 +205,10 @@ class IPAdapterPlus(IPAdapter):
             pil_image = [pil_image]
         clip_image = self._clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
         clip_image = clip_image.to(self.device, dtype=self.dtype)
-        clip_image_embeds = self._image_encoder(clip_image, output_hidden_states=True).hidden_states[-2]
+        clip_image_embeds = image_encoder(clip_image, output_hidden_states=True).hidden_states[-2]
         image_prompt_embeds = self._image_proj_model(clip_image_embeds)
-        uncond_clip_image_embeds = self._image_encoder(
-            torch.zeros_like(clip_image), output_hidden_states=True
-        ).hidden_states[-2]
+        uncond_clip_image_embeds = image_encoder(torch.zeros_like(clip_image), output_hidden_states=True).hidden_states[
+            -2
+        ]
         uncond_image_prompt_embeds = self._image_proj_model(uncond_clip_image_embeds)
         return image_prompt_embeds, uncond_image_prompt_embeds
diff --git a/invokeai/backend/model_management/models/clip_vision.py b/invokeai/backend/model_management/models/clip_vision.py
index 7df3119f9c..2276c6beed 100644
--- a/invokeai/backend/model_management/models/clip_vision.py
+++ b/invokeai/backend/model_management/models/clip_vision.py
@@ -60,7 +60,7 @@ class CLIPVisionModel(ModelBase):
         if child_type is not None:
             raise ValueError("There are no child models in a CLIP Vision model.")
 
-        model = CLIPVisionModelWithProjection.from_pretrained(self._image_encoder_path, torch_dtype=torch_dtype)
+        model = CLIPVisionModelWithProjection.from_pretrained(self.model_path, torch_dtype=torch_dtype)
 
         # Calculate a more accurate model size.
         self.model_size = calc_model_size_by_data(model)
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index 01a97b6dfc..737d5da046 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -55,10 +55,6 @@ class IPAdapterModel(ModelBase):
         # TODO(ryand): Update self.model_size when the model is loaded from disk.
         return self.model_size
 
-    def _get_text_encoder_path(self) -> str:
-        # TODO(ryand): Move the CLIP image encoder to its own model directory.
-        return os.path.join(os.path.dirname(self.model_path), "image_encoder")
-
     def get_model(
         self,
         torch_dtype: Optional[torch.dtype],
@@ -72,13 +68,9 @@ class IPAdapterModel(ModelBase):
         # TODO(ryand): Checking for "plus" in the file name is fragile. It should be possible to infer whether this is a
         # "plus" variant by loading the state_dict.
         if "plus" in str(self.model_path):
-            return IPAdapterPlus(
-                image_encoder_path=self._get_text_encoder_path(), ip_adapter_ckpt_path=self.model_path, device="cpu"
-            )
+            return IPAdapterPlus(ip_adapter_ckpt_path=self.model_path, device="cpu")
         else:
-            return IPAdapter(
-                image_encoder_path=self._get_text_encoder_path(), ip_adapter_ckpt_path=self.model_path, device="cpu"
-            )
+            return IPAdapter(ip_adapter_ckpt_path=self.model_path, device="cpu")
 
     @classmethod
     def convert_if_required(
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 1408c56989..51df61ce03 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -172,7 +172,6 @@ class ControlNetData:
 @dataclass
 class IPAdapterData:
     ip_adapter_model: IPAdapter = Field(default=None)
-    image: PIL.Image = Field(default=None)
     # TODO: change to polymorphic so can do different weights per step (once implemented...)
     # weight: Union[float, List[float]] = Field(default=1.0)
     weight: float = Field(default=1.0)
@@ -415,20 +414,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if timesteps.shape[0] == 0:
             return latents, attention_map_saver
 
-        if ip_adapter_data is not None:
-            if not ip_adapter_data.ip_adapter_model.is_initialized():
-                # TODO(ryan): Do we need to initialize every time? How long does initialize take?
-                ip_adapter_data.ip_adapter_model.initialize(self.unet)
-            ip_adapter_data.ip_adapter_model.set_scale(ip_adapter_data.weight)
-
-            # Get image embeddings from CLIP and ImageProjModel.
-            image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter_data.ip_adapter_model.get_image_embeds(
-                ip_adapter_data.image
-            )
-            conditioning_data.ip_adapter_conditioning = IPAdapterConditioningInfo(
-                image_prompt_embeds, uncond_image_prompt_embeds
-            )
-
         if conditioning_data.extra is not None and conditioning_data.extra.wants_cross_attention_control:
             attn_ctx = self.invokeai_diffuser.custom_attention_context(
                 self.invokeai_diffuser.model,
@@ -438,6 +423,8 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         elif ip_adapter_data is not None:
             # TODO(ryand): Should we raise an exception if both custom attention and IP-Adapter attention are active?
             # As it is now, the IP-Adapter will silently be skipped.
+
+            ip_adapter_data.ip_adapter_model.set_scale(ip_adapter_data.weight)
             attn_ctx = ip_adapter_data.ip_adapter_model.apply_ip_adapter_attention()
         else:
             attn_ctx = nullcontext()

From fab055995e2a53638b18431c3a8bf4b1c777f704 Mon Sep 17 00:00:00 2001
From: Ryan <36354352+gogurtenjoyer@users.noreply.github.com>
Date: Sat, 9 Sep 2023 22:54:20 -0400
Subject: [PATCH 126/265] Add empty_cache() for MPS hardware.

---
 invokeai/app/invocations/latent.py               | 7 +++++++
 invokeai/backend/model_management/model_cache.py | 3 +++
 2 files changed, 10 insertions(+)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index b764b3b336..78f8f624f2 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -6,6 +6,7 @@ from typing import List, Literal, Optional, Union
 import einops
 import numpy as np
 import torch
+from torch import mps
 import torchvision.transforms as T
 from diffusers.image_processor import VaeImageProcessor
 from diffusers.models.attention_processor import (
@@ -541,6 +542,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
             # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
             result_latents = result_latents.to("cpu")
             torch.cuda.empty_cache()
+            mps.empty_cache()
 
             name = f"{context.graph_execution_state_id}__{self.id}"
             context.services.latents.save(name, result_latents)
@@ -612,6 +614,7 @@ class LatentsToImageInvocation(BaseInvocation):
 
             # clear memory as vae decode can request a lot
             torch.cuda.empty_cache()
+            mps.empty_cache()
 
             with torch.inference_mode():
                 # copied from diffusers pipeline
@@ -624,6 +627,7 @@ class LatentsToImageInvocation(BaseInvocation):
                 image = VaeImageProcessor.numpy_to_pil(np_image)[0]
 
         torch.cuda.empty_cache()
+        mps.empty_cache()
 
         image_dto = context.services.images.create(
             image=image,
@@ -683,6 +687,7 @@ class ResizeLatentsInvocation(BaseInvocation):
         # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
         resized_latents = resized_latents.to("cpu")
         torch.cuda.empty_cache()
+        mps.empty_cache()
 
         name = f"{context.graph_execution_state_id}__{self.id}"
         # context.services.latents.set(name, resized_latents)
@@ -719,6 +724,7 @@ class ScaleLatentsInvocation(BaseInvocation):
         # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
         resized_latents = resized_latents.to("cpu")
         torch.cuda.empty_cache()
+        mps.empty_cache()
 
         name = f"{context.graph_execution_state_id}__{self.id}"
         # context.services.latents.set(name, resized_latents)
@@ -875,6 +881,7 @@ class BlendLatentsInvocation(BaseInvocation):
         # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
         blended_latents = blended_latents.to("cpu")
         torch.cuda.empty_cache()
+        mps.empty_cache()
 
         name = f"{context.graph_execution_state_id}__{self.id}"
         # context.services.latents.set(name, resized_latents)
diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index 6d0f36ad8c..2db46e9f64 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -26,6 +26,7 @@ from pathlib import Path
 from typing import Any, Dict, Optional, Type, Union, types
 
 import torch
+from torch import mps
 
 import invokeai.backend.util.logging as logger
 
@@ -406,6 +407,7 @@ class ModelCache(object):
 
         gc.collect()
         torch.cuda.empty_cache()
+        mps.empty_cache()
 
         self.logger.debug(f"After unloading: cached_models={len(self._cached_models)}")
 
@@ -426,6 +428,7 @@ class ModelCache(object):
 
         gc.collect()
         torch.cuda.empty_cache()
+        mps.empty_cache()
 
     def _local_model_hash(self, model_path: Union[str, Path]) -> str:
         sha = hashlib.sha256()

From b7296000e4a2146e5e83d53e9a39391d68f4ab2a Mon Sep 17 00:00:00 2001
From: Ryan <36354352+gogurtenjoyer@users.noreply.github.com>
Date: Mon, 11 Sep 2023 00:44:43 -0400
Subject: [PATCH 127/265] made MPS calls conditional on MPS actually being the
 chosen device with backend available

---
 invokeai/app/invocations/latent.py            | 22 +++++++++++++------
 .../backend/model_management/model_cache.py   | 10 +++++++--
 2 files changed, 23 insertions(+), 9 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 78f8f624f2..385ddc5df8 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -6,7 +6,6 @@ from typing import List, Literal, Optional, Union
 import einops
 import numpy as np
 import torch
-from torch import mps
 import torchvision.transforms as T
 from diffusers.image_processor import VaeImageProcessor
 from diffusers.models.attention_processor import (
@@ -64,6 +63,9 @@ from .compel import ConditioningField
 from .controlnet_image_processors import ControlField
 from .model import ModelInfo, UNetField, VaeField
 
+if choose_torch_device() == torch.device("mps"):
+    from torch import mps
+
 DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
 
@@ -542,7 +544,8 @@ class DenoiseLatentsInvocation(BaseInvocation):
             # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
             result_latents = result_latents.to("cpu")
             torch.cuda.empty_cache()
-            mps.empty_cache()
+            if choose_torch_device() == torch.device("mps"):
+                mps.empty_cache()
 
             name = f"{context.graph_execution_state_id}__{self.id}"
             context.services.latents.save(name, result_latents)
@@ -614,7 +617,8 @@ class LatentsToImageInvocation(BaseInvocation):
 
             # clear memory as vae decode can request a lot
             torch.cuda.empty_cache()
-            mps.empty_cache()
+            if choose_torch_device() == torch.device("mps"):
+                mps.empty_cache()
 
             with torch.inference_mode():
                 # copied from diffusers pipeline
@@ -627,7 +631,8 @@ class LatentsToImageInvocation(BaseInvocation):
                 image = VaeImageProcessor.numpy_to_pil(np_image)[0]
 
         torch.cuda.empty_cache()
-        mps.empty_cache()
+        if choose_torch_device() == torch.device("mps"):
+            mps.empty_cache()
 
         image_dto = context.services.images.create(
             image=image,
@@ -687,7 +692,8 @@ class ResizeLatentsInvocation(BaseInvocation):
         # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
         resized_latents = resized_latents.to("cpu")
         torch.cuda.empty_cache()
-        mps.empty_cache()
+        if device == torch.device("mps"):
+            mps.empty_cache()
 
         name = f"{context.graph_execution_state_id}__{self.id}"
         # context.services.latents.set(name, resized_latents)
@@ -724,7 +730,8 @@ class ScaleLatentsInvocation(BaseInvocation):
         # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
         resized_latents = resized_latents.to("cpu")
         torch.cuda.empty_cache()
-        mps.empty_cache()
+        if device == torch.device("mps"):
+            mps.empty_cache()
 
         name = f"{context.graph_execution_state_id}__{self.id}"
         # context.services.latents.set(name, resized_latents)
@@ -881,7 +888,8 @@ class BlendLatentsInvocation(BaseInvocation):
         # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
         blended_latents = blended_latents.to("cpu")
         torch.cuda.empty_cache()
-        mps.empty_cache()
+        if device == torch.device("mps"):
+            mps.empty_cache()
 
         name = f"{context.graph_execution_state_id}__{self.id}"
         # context.services.latents.set(name, resized_latents)
diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index 2db46e9f64..d2850e21ec 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -30,8 +30,12 @@ from torch import mps
 
 import invokeai.backend.util.logging as logger
 
+from ..util.devices import choose_torch_device
 from .models import BaseModelType, ModelBase, ModelType, SubModelType
 
+if choose_torch_device() == torch.device("mps"):
+    from torch import mps
+
 # Maximum size of the cache, in gigs
 # Default is roughly enough to hold three fp16 diffusers models in RAM simultaneously
 DEFAULT_MAX_CACHE_SIZE = 6.0
@@ -407,7 +411,8 @@ class ModelCache(object):
 
         gc.collect()
         torch.cuda.empty_cache()
-        mps.empty_cache()
+        if choose_torch_device() == torch.device("mps"):
+            mps.empty_cache()
 
         self.logger.debug(f"After unloading: cached_models={len(self._cached_models)}")
 
@@ -428,7 +433,8 @@ class ModelCache(object):
 
         gc.collect()
         torch.cuda.empty_cache()
-        mps.empty_cache()
+        if choose_torch_device() == torch.device("mps"):
+            mps.empty_cache()
 
     def _local_model_hash(self, model_path: Union[str, Path]) -> str:
         sha = hashlib.sha256()

From 2f5e923008673550ca6fa7db43662ba52aa4abd0 Mon Sep 17 00:00:00 2001
From: Ryan <36354352+gogurtenjoyer@users.noreply.github.com>
Date: Mon, 11 Sep 2023 00:50:10 -0400
Subject: [PATCH 128/265] Removed duplicate import in model_cache.py

---
 invokeai/backend/model_management/model_cache.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index d2850e21ec..8c015441b7 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -26,7 +26,6 @@ from pathlib import Path
 from typing import Any, Dict, Optional, Type, Union, types
 
 import torch
-from torch import mps
 
 import invokeai.backend.util.logging as logger
 

From ebf26687cbbe5ef886371146d475c7f5c3ff5fb0 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 13 Sep 2023 21:00:08 -0400
Subject: [PATCH 129/265] (minor) Remove unnecessary TODO.

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

diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index 737d5da046..f29acf9f57 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -13,6 +13,7 @@ from invokeai.backend.model_management.models.base import (
     ModelConfigBase,
     ModelType,
     SubModelType,
+    calc_model_size_by_fs,
     classproperty,
 )
 
@@ -30,7 +31,6 @@ class IPAdapterModel(ModelBase):
         assert model_type == ModelType.IPAdapter
         super().__init__(model_path, base_model, model_type)
 
-        # TODO(ryand): Check correct files for model size calculation.
         self.model_size = os.path.getsize(self.model_path)
 
     @classmethod

From 77d135967fc8d082a642c7506c885954feffa33d Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 13 Sep 2023 21:06:42 -0400
Subject: [PATCH 130/265] Update IPAdapterModel to respect requested
 torch_dtype.

---
 invokeai/backend/model_management/models/ip_adapter.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index f29acf9f57..2302692a8c 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -63,14 +63,12 @@ class IPAdapterModel(ModelBase):
         if child_type is not None:
             raise ValueError("There are no child models in an IP-Adapter model.")
 
-        # TODO(ryand): Update IPAdapter to accept a torch_dtype param.
-
         # TODO(ryand): Checking for "plus" in the file name is fragile. It should be possible to infer whether this is a
         # "plus" variant by loading the state_dict.
         if "plus" in str(self.model_path):
-            return IPAdapterPlus(ip_adapter_ckpt_path=self.model_path, device="cpu")
+            return IPAdapterPlus(ip_adapter_ckpt_path=self.model_path, device="cpu", dtype=torch_dtype)
         else:
-            return IPAdapter(ip_adapter_ckpt_path=self.model_path, device="cpu")
+            return IPAdapter(ip_adapter_ckpt_path=self.model_path, device="cpu", dtype=torch_dtype)
 
     @classmethod
     def convert_if_required(

From c34b359c362702f2a3fd8933b6778fc5215eba50 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 13 Sep 2023 21:25:20 -0400
Subject: [PATCH 131/265] (minor) Remove duplicate TODO.

---
 .../stable_diffusion/diffusion/shared_invokeai_diffusion.py     | 2 --
 1 file changed, 2 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index f79f5e2559..125e62a2e8 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -229,8 +229,6 @@ class InvokeAIDiffuserComponent:
         total_step_count: int,
         **kwargs,
     ):
-        # TODO(ryand): Raise here if both cross attention control and ip-adapter are enabled?
-
         cross_attention_control_types_to_do = []
         context: Context = self.cross_attention_control_context
         if self.cross_attention_control_context is not None:

From f6738d647e163793adcfbb5e0857fa6376be9f2c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 14 Sep 2023 09:02:54 +1000
Subject: [PATCH 132/265] fix(ui): store customStarUI outside redux

JSX is not serializable, so it cannot be in redux. Non-serializable global state may be put into `nanostores`.

- Use `nanostores` for `customStarUI`
- Use `nanostores` for `headerComponent`
- Re-enable the serializable & immutable check redux middlewares
---
 .../frontend/web/src/app/components/App.tsx   | 23 ++++----------
 .../web/src/app/components/InvokeAIUI.tsx     | 30 ++++++++++++++-----
 .../src/app/store/nanostores/customStarUI.ts  | 14 +++++++++
 .../app/store/nanostores/headerComponent.ts   |  4 +++
 .../web/src/app/store/nanostores/index.ts     |  3 ++
 invokeai/frontend/web/src/app/store/store.ts  |  5 +---
 .../MultipleSelectionMenuItems.tsx            |  5 ++--
 .../SingleSelectionMenuItems.tsx              |  9 +++---
 .../components/ImageGrid/GalleryImage.tsx     |  7 +++--
 .../web/src/features/ui/store/uiSlice.ts      |  7 +----
 .../web/src/features/ui/store/uiTypes.ts      | 13 --------
 11 files changed, 64 insertions(+), 56 deletions(-)
 create mode 100644 invokeai/frontend/web/src/app/store/nanostores/customStarUI.ts
 create mode 100644 invokeai/frontend/web/src/app/store/nanostores/headerComponent.ts
 create mode 100644 invokeai/frontend/web/src/app/store/nanostores/index.ts

diff --git a/invokeai/frontend/web/src/app/components/App.tsx b/invokeai/frontend/web/src/app/components/App.tsx
index aa1919abfb..8c033440e3 100644
--- a/invokeai/frontend/web/src/app/components/App.tsx
+++ b/invokeai/frontend/web/src/app/components/App.tsx
@@ -12,33 +12,26 @@ import { languageSelector } from 'features/system/store/systemSelectors';
 import InvokeTabs from 'features/ui/components/InvokeTabs';
 import i18n from 'i18n';
 import { size } from 'lodash-es';
-import { ReactNode, memo, useCallback, useEffect } from 'react';
+import { memo, useCallback, useEffect } from 'react';
 import { ErrorBoundary } from 'react-error-boundary';
 import { usePreselectedImage } from '../../features/parameters/hooks/usePreselectedImage';
 import AppErrorBoundaryFallback from './AppErrorBoundaryFallback';
 import GlobalHotkeys from './GlobalHotkeys';
 import Toaster from './Toaster';
-import { CustomStarUi } from '../../features/ui/store/uiTypes';
-import { setCustomStarUi } from '../../features/ui/store/uiSlice';
+import { useStore } from '@nanostores/react';
+import { $headerComponent } from 'app/store/nanostores/headerComponent';
 
 const DEFAULT_CONFIG = {};
 
 interface Props {
   config?: PartialAppConfig;
-  headerComponent?: ReactNode;
   selectedImage?: {
     imageName: string;
     action: 'sendToImg2Img' | 'sendToCanvas' | 'useAllParameters';
   };
-  customStarUi?: CustomStarUi;
 }
 
-const App = ({
-  config = DEFAULT_CONFIG,
-  headerComponent,
-  selectedImage,
-  customStarUi,
-}: Props) => {
+const App = ({ config = DEFAULT_CONFIG, selectedImage }: Props) => {
   const language = useAppSelector(languageSelector);
 
   const logger = useLogger('system');
@@ -61,12 +54,6 @@ const App = ({
     }
   }, [dispatch, config, logger]);
 
-  useEffect(() => {
-    if (customStarUi) {
-      dispatch(setCustomStarUi(customStarUi));
-    }
-  }, [customStarUi, dispatch]);
-
   useEffect(() => {
     dispatch(appStarted());
   }, [dispatch]);
@@ -75,6 +62,8 @@ const App = ({
     handlePreselectedImage(selectedImage);
   }, [handlePreselectedImage, selectedImage]);
 
+  const headerComponent = useStore($headerComponent);
+
   return (
     <ErrorBoundary
       onReset={handleReset}
diff --git a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
index 36636b3ca9..505b1e13b4 100644
--- a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
+++ b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
@@ -15,7 +15,8 @@ import { socketMiddleware } from 'services/events/middleware';
 import Loading from '../../common/components/Loading/Loading';
 import '../../i18n';
 import AppDndContext from '../../features/dnd/components/AppDndContext';
-import { CustomStarUi } from '../../features/ui/store/uiTypes';
+import { $customStarUI, CustomStarUi } from 'app/store/nanostores/customStarUI';
+import { $headerComponent } from 'app/store/nanostores/headerComponent';
 
 const App = lazy(() => import('./App'));
 const ThemeLocaleProvider = lazy(() => import('./ThemeLocaleProvider'));
@@ -83,18 +84,33 @@ const InvokeAIUI = ({
     };
   }, [apiUrl, token, middleware, projectId]);
 
+  useEffect(() => {
+    if (customStarUi) {
+      $customStarUI.set(customStarUi);
+    }
+
+    return () => {
+      $customStarUI.set(undefined);
+    };
+  }, [customStarUi]);
+
+  useEffect(() => {
+    if (headerComponent) {
+      $headerComponent.set(headerComponent);
+    }
+
+    return () => {
+      $headerComponent.set(undefined);
+    };
+  }, [headerComponent]);
+
   return (
     <React.StrictMode>
       <Provider store={store}>
         <React.Suspense fallback={<Loading />}>
           <ThemeLocaleProvider>
             <AppDndContext>
-              <App
-                config={config}
-                headerComponent={headerComponent}
-                selectedImage={selectedImage}
-                customStarUi={customStarUi}
-              />
+              <App config={config} selectedImage={selectedImage} />
             </AppDndContext>
           </ThemeLocaleProvider>
         </React.Suspense>
diff --git a/invokeai/frontend/web/src/app/store/nanostores/customStarUI.ts b/invokeai/frontend/web/src/app/store/nanostores/customStarUI.ts
new file mode 100644
index 0000000000..0459c2f31f
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/nanostores/customStarUI.ts
@@ -0,0 +1,14 @@
+import { MenuItemProps } from '@chakra-ui/react';
+import { atom } from 'nanostores';
+
+export type CustomStarUi = {
+  on: {
+    icon: MenuItemProps['icon'];
+    text: string;
+  };
+  off: {
+    icon: MenuItemProps['icon'];
+    text: string;
+  };
+};
+export const $customStarUI = atom<CustomStarUi | undefined>(undefined);
diff --git a/invokeai/frontend/web/src/app/store/nanostores/headerComponent.ts b/invokeai/frontend/web/src/app/store/nanostores/headerComponent.ts
new file mode 100644
index 0000000000..90a4775ff9
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/nanostores/headerComponent.ts
@@ -0,0 +1,4 @@
+import { atom } from 'nanostores';
+import { ReactNode } from 'react';
+
+export const $headerComponent = atom<ReactNode | undefined>(undefined);
diff --git a/invokeai/frontend/web/src/app/store/nanostores/index.ts b/invokeai/frontend/web/src/app/store/nanostores/index.ts
new file mode 100644
index 0000000000..ae43ed3035
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/nanostores/index.ts
@@ -0,0 +1,3 @@
+/**
+ * For non-serializable data that needs to be available throughout the app, or when redux is not appropriate, use nanostores.
+ */
diff --git a/invokeai/frontend/web/src/app/store/store.ts b/invokeai/frontend/web/src/app/store/store.ts
index ce2a21c6e7..29caa69cbe 100644
--- a/invokeai/frontend/web/src/app/store/store.ts
+++ b/invokeai/frontend/web/src/app/store/store.ts
@@ -86,10 +86,7 @@ export const store = configureStore({
       .concat(autoBatchEnhancer());
   },
   middleware: (getDefaultMiddleware) =>
-    getDefaultMiddleware({
-      immutableCheck: false,
-      serializableCheck: false,
-    })
+    getDefaultMiddleware()
       .concat(api.middleware)
       .concat(dynamicMiddlewares)
       .prepend(listenerMiddleware.middleware),
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
index e2a9013aac..29b45761ee 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
@@ -1,4 +1,6 @@
 import { MenuItem } from '@chakra-ui/react';
+import { useStore } from '@nanostores/react';
+import { $customStarUI } from 'app/store/nanostores/customStarUI';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import {
   imagesToChangeSelected,
@@ -12,12 +14,11 @@ import {
   useStarImagesMutation,
   useUnstarImagesMutation,
 } from '../../../../services/api/endpoints/images';
-import { uiSelector } from '../../../ui/store/uiSelectors';
 
 const MultipleSelectionMenuItems = () => {
   const dispatch = useAppDispatch();
   const selection = useAppSelector((state) => state.gallery.selection);
-  const { customStarUi } = useAppSelector(uiSelector);
+  const customStarUi = useStore($customStarUI);
 
   const [starImages] = useStarImagesMutation();
   const [unstarImages] = useUnstarImagesMutation();
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index 68c5c2e1ae..e5b9d94578 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -1,5 +1,7 @@
 import { Flex, MenuItem, Spinner } from '@chakra-ui/react';
+import { useStore } from '@nanostores/react';
 import { useAppToaster } from 'app/components/Toaster';
+import { $customStarUI } from 'app/store/nanostores/customStarUI';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
 import {
@@ -7,6 +9,7 @@ import {
   isModalOpenChanged,
 } from 'features/changeBoardModal/store/slice';
 import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice';
+import { workflowLoadRequested } from 'features/nodes/store/actions';
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { initialImageSelected } from 'features/parameters/store/actions';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
@@ -32,10 +35,8 @@ import {
   useUnstarImagesMutation,
 } from 'services/api/endpoints/images';
 import { ImageDTO } from 'services/api/types';
-import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
-import { workflowLoadRequested } from 'features/nodes/store/actions';
 import { configSelector } from '../../../system/store/configSelectors';
-import { uiSelector } from '../../../ui/store/uiSelectors';
+import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
 
 type SingleSelectionMenuItemsProps = {
   imageDTO: ImageDTO;
@@ -51,7 +52,7 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
 
   const isCanvasEnabled = useFeatureStatus('unifiedCanvas').isFeatureEnabled;
   const { shouldFetchMetadataFromApi } = useAppSelector(configSelector);
-  const { customStarUi } = useAppSelector(uiSelector);
+  const customStarUi = useStore($customStarUI);
 
   const { metadata, workflow, isLoading } = useGetImageMetadataFromFileQuery(
     { image: imageDTO, shouldFetchMetadataFromApi },
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
index 6c34bc31b8..af01eeaea8 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
@@ -1,4 +1,6 @@
 import { Box, Flex } from '@chakra-ui/react';
+import { useStore } from '@nanostores/react';
+import { $customStarUI } from 'app/store/nanostores/customStarUI';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIDndImage from 'common/components/IAIDndImage';
 import IAIFillSkeleton from 'common/components/IAIFillSkeleton';
@@ -10,6 +12,7 @@ import {
 } from 'features/dnd/types';
 import { useMultiselect } from 'features/gallery/hooks/useMultiselect';
 import { MouseEvent, memo, useCallback, useMemo, useState } from 'react';
+import { useTranslation } from 'react-i18next';
 import { FaTrash } from 'react-icons/fa';
 import { MdStar, MdStarBorder } from 'react-icons/md';
 import {
@@ -18,8 +21,6 @@ import {
   useUnstarImagesMutation,
 } from 'services/api/endpoints/images';
 import IAIDndImageIcon from '../../../../common/components/IAIDndImageIcon';
-import { uiSelector } from '../../../ui/store/uiSelectors';
-import { useTranslation } from 'react-i18next';
 
 interface HoverableImageProps {
   imageName: string;
@@ -35,7 +36,7 @@ const GalleryImage = (props: HoverableImageProps) => {
   const { handleClick, isSelected, selection, selectionCount } =
     useMultiselect(imageDTO);
 
-  const { customStarUi } = useAppSelector(uiSelector);
+  const customStarUi = useStore($customStarUI);
 
   const handleDelete = useCallback(
     (e: MouseEvent<HTMLButtonElement>) => {
diff --git a/invokeai/frontend/web/src/features/ui/store/uiSlice.ts b/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
index 33edc6308f..82c9ef4e77 100644
--- a/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
+++ b/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
@@ -4,7 +4,7 @@ import { initialImageChanged } from 'features/parameters/store/generationSlice';
 import { SchedulerParam } from 'features/parameters/types/parameterSchemas';
 import { setActiveTabReducer } from './extraReducers';
 import { InvokeTabName } from './tabMap';
-import { CustomStarUi, UIState } from './uiTypes';
+import { UIState } from './uiTypes';
 
 export const initialUIState: UIState = {
   activeTab: 0,
@@ -19,7 +19,6 @@ export const initialUIState: UIState = {
   favoriteSchedulers: [],
   globalContextMenuCloseTrigger: 0,
   panels: {},
-  customStarUi: undefined,
 };
 
 export const uiSlice = createSlice({
@@ -71,9 +70,6 @@ export const uiSlice = createSlice({
     ) => {
       state.panels[action.payload.name] = action.payload.value;
     },
-    setCustomStarUi: (state, action: PayloadAction<CustomStarUi>) => {
-      state.customStarUi = action.payload;
-    },
   },
   extraReducers(builder) {
     builder.addCase(initialImageChanged, (state) => {
@@ -95,7 +91,6 @@ export const {
   setShouldAutoChangeDimensions,
   contextMenusClosed,
   panelsChanged,
-  setCustomStarUi,
 } = uiSlice.actions;
 
 export default uiSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/ui/store/uiTypes.ts b/invokeai/frontend/web/src/features/ui/store/uiTypes.ts
index 8f7b1999a4..41a359a651 100644
--- a/invokeai/frontend/web/src/features/ui/store/uiTypes.ts
+++ b/invokeai/frontend/web/src/features/ui/store/uiTypes.ts
@@ -1,4 +1,3 @@
-import { MenuItemProps } from '@chakra-ui/react';
 import { SchedulerParam } from 'features/parameters/types/parameterSchemas';
 
 export type Coordinates = {
@@ -13,17 +12,6 @@ export type Dimensions = {
 
 export type Rect = Coordinates & Dimensions;
 
-export type CustomStarUi = {
-  on: {
-    icon: MenuItemProps['icon'];
-    text: string;
-  };
-  off: {
-    icon: MenuItemProps['icon'];
-    text: string;
-  };
-};
-
 export interface UIState {
   activeTab: number;
   shouldShowImageDetails: boolean;
@@ -37,5 +25,4 @@ export interface UIState {
   favoriteSchedulers: SchedulerParam[];
   globalContextMenuCloseTrigger: number;
   panels: Record<string, string>;
-  customStarUi?: CustomStarUi;
 }

From 2c1100509f712898d637901358eacc34c8416b96 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 08:19:55 -0400
Subject: [PATCH 133/265] Add BaseModelType.Any to be used by CLIPVisionModel.

---
 invokeai/app/invocations/latent.py                   |  2 +-
 invokeai/backend/model_management/model_probe.py     |  2 +-
 invokeai/backend/model_management/models/__init__.py | 11 +++++++++++
 invokeai/backend/model_management/models/base.py     |  1 +
 4 files changed, 14 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 7c13eacdbb..32e1ecc499 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -420,7 +420,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
             # TODO(ryand): Get this model_name from the IPAdapterField.
             model_name="ip_adapter_clip_vision",
             model_type=ModelType.CLIPVision,
-            base_model=ip_adapter.ip_adapter_model.base_model,
+            base_model=BaseModelType.Any,
             context=context,
         )
 
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 71e5b89e0f..b63467bf40 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -534,7 +534,7 @@ class IPAdapterFolderProbe(FolderProbeBase):
 
 class CLIPVisionFolderProbe(FolderProbeBase):
     def get_base_type(self) -> BaseModelType:
-        raise NotImplementedError()
+        return BaseModelType.Any
 
 
 ############## register probe classes ######
diff --git a/invokeai/backend/model_management/models/__init__.py b/invokeai/backend/model_management/models/__init__.py
index deeaf33bca..d361301554 100644
--- a/invokeai/backend/model_management/models/__init__.py
+++ b/invokeai/backend/model_management/models/__init__.py
@@ -71,6 +71,17 @@ MODEL_CLASSES = {
         ModelType.IPAdapter: IPAdapterModel,
         ModelType.CLIPVision: CLIPVisionModel,
     },
+    BaseModelType.Any: {
+        ModelType.CLIPVision: CLIPVisionModel,
+        # The following model types are not expected to be used with BaseModelType.Any.
+        ModelType.ONNX: ONNXStableDiffusion2Model,
+        ModelType.Main: StableDiffusion2Model,
+        ModelType.Vae: VaeModel,
+        ModelType.Lora: LoRAModel,
+        ModelType.ControlNet: ControlNetModel,
+        ModelType.TextualInversion: TextualInversionModel,
+        ModelType.IPAdapter: IPAdapterModel,
+    },
     # BaseModelType.Kandinsky2_1: {
     #    ModelType.Main: Kandinsky2_1Model,
     #    ModelType.MoVQ: MoVQModel,
diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py
index f69baf50fd..d8b2ed8e52 100644
--- a/invokeai/backend/model_management/models/base.py
+++ b/invokeai/backend/model_management/models/base.py
@@ -47,6 +47,7 @@ class ModelNotFoundException(Exception):
 
 
 class BaseModelType(str, Enum):
+    Any = "any"  # For models that are not associated with any particular base model.
     StableDiffusion1 = "sd-1"
     StableDiffusion2 = "sd-2"
     StableDiffusionXL = "sdxl"

From 0f93991087004a73c8b2d5b45599c6b60cc509fd Mon Sep 17 00:00:00 2001
From: Jonathan <34005131+JPPhoto@users.noreply.github.com>
Date: Thu, 14 Sep 2023 07:56:17 -0500
Subject: [PATCH 134/265] Remove multiple of 8 requirement for
 ImageResizeInvocation (#4538)

Testing required the width and height to be multiples of 8. This is no longer needed.
---
 invokeai/app/invocations/image.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index fda7561679..11e5fc90a0 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -335,8 +335,8 @@ class ImageResizeInvocation(BaseInvocation):
     """Resizes an image to specific dimensions"""
 
     image: ImageField = InputField(description="The image to resize")
-    width: int = InputField(default=512, ge=64, multiple_of=8, description="The width to resize to (px)")
-    height: int = InputField(default=512, ge=64, multiple_of=8, description="The height to resize to (px)")
+    width: int = InputField(default=512, gt=0, description="The width to resize to (px)")
+    height: int = InputField(default=512, gt=0, description="The height to resize to (px)")
     resample_mode: PIL_RESAMPLING_MODES = InputField(default="bicubic", description="The resampling mode")
     metadata: Optional[CoreMetadata] = InputField(
         default=None, description=FieldDescriptions.core_metadata, ui_hidden=True

From 6d0ea42a94568bf3359b8676a8aa15477ad2bdbf Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 09:54:10 -0400
Subject: [PATCH 135/265] Get CLIPVision model download from HF working.

---
 invokeai/app/invocations/latent.py                |  2 +-
 invokeai/backend/install/model_install_backend.py |  6 +++++-
 invokeai/backend/model_management/model_probe.py  | 10 +++++++---
 3 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 32e1ecc499..fadd505e04 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -418,7 +418,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
 
         image_encoder_model_info = context.services.model_manager.get_model(
             # TODO(ryand): Get this model_name from the IPAdapterField.
-            model_name="ip_adapter_clip_vision",
+            model_name="ip_adapter_sd_image_encoder",
             model_type=ModelType.CLIPVision,
             base_model=BaseModelType.Any,
             context=context,
diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index 711877ea56..53f3c5d055 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -318,7 +318,6 @@ class ModelInstall(object):
                 location = self._download_hf_pipeline(repo_id, staging)  # pipeline
             elif "unet/model.onnx" in files:
                 location = self._download_hf_model(repo_id, files, staging)
-            # TODO(ryand): Add special handling for ip_adapter?
             else:
                 for suffix in ["safetensors", "bin"]:
                     if f"pytorch_lora_weights.{suffix}" in files:
@@ -337,6 +336,11 @@ class ModelInstall(object):
                     elif f"learned_embeds.{suffix}" in files:
                         location = self._download_hf_model(repo_id, [f"learned_embeds.{suffix}"], staging)
                         break
+                    elif f"model.{suffix}" in files and "config.json" in files:
+                        # This elif-condition is pretty fragile, but it is intended to handle CLIP Vision models hosted
+                        # by InvokeAI for use with IP-Adapters.
+                        files = ["config.json", f"model.{suffix}"]
+                        location = self._download_hf_model(repo_id, files, staging)
             if not location:
                 logger.warning(f"Could not determine type of repo {repo_id}. Skipping install.")
                 return {}
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index b63467bf40..bf286b4878 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -54,8 +54,7 @@ class ModelProbe(object):
         "StableDiffusionXLInpaintPipeline": ModelType.Main,
         "AutoencoderKL": ModelType.Vae,
         "ControlNetModel": ModelType.ControlNet,
-        "IPAdapterModel": ModelType.IPAdapter,
-        "CLIPVision": ModelType.CLIPVision,
+        "CLIPVisionModelWithProjection": ModelType.CLIPVision,
     }
 
     @classmethod
@@ -196,7 +195,12 @@ class ModelProbe(object):
             if config_path:
                 with open(config_path, "r") as file:
                     conf = json.load(file)
-                class_name = conf["_class_name"]
+                if "_class_name" in conf:
+                    class_name = conf["_class_name"]
+                elif "architectures" in conf:
+                    class_name = conf["architectures"][0]
+                else:
+                    class_name = None
 
         if class_name and (type := cls.CLASS2TYPE.get(class_name)):
             return type

From d5160648d07cfbb8b6b0999e326ec600a4931b47 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 11:18:43 -0400
Subject: [PATCH 136/265] Add support for downloading IP-Adapter models from
 HF.

---
 .../backend/install/model_install_backend.py  |  5 ++++
 .../backend/model_management/model_probe.py   | 22 ++++++++++++++--
 .../model_management/models/ip_adapter.py     | 26 ++++++++++++-------
 3 files changed, 41 insertions(+), 12 deletions(-)

diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index 53f3c5d055..1813b7f5c4 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -336,11 +336,16 @@ class ModelInstall(object):
                     elif f"learned_embeds.{suffix}" in files:
                         location = self._download_hf_model(repo_id, [f"learned_embeds.{suffix}"], staging)
                         break
+                    elif "image_encoder.txt" in files and f"ip_adapter.{suffix}" in files:  # IP-Adapter
+                        files = ["image_encoder.txt", f"ip_adapter.{suffix}"]
+                        location = self._download_hf_model(repo_id, files, staging)
+                        break
                     elif f"model.{suffix}" in files and "config.json" in files:
                         # This elif-condition is pretty fragile, but it is intended to handle CLIP Vision models hosted
                         # by InvokeAI for use with IP-Adapters.
                         files = ["config.json", f"model.{suffix}"]
                         location = self._download_hf_model(repo_id, files, staging)
+                        break
             if not location:
                 logger.warning(f"Could not determine type of repo {repo_id}. Skipping install.")
                 return {}
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index bf286b4878..d9227fb722 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -9,6 +9,7 @@ from diffusers import ConfigMixin, ModelMixin
 from picklescan.scanner import scan_file_path
 
 from invokeai.backend.model_management.models import BaseModelType
+from invokeai.backend.model_management.models.ip_adapter import IPAdapterModelFormat
 
 from .models import (
     BaseModelType,
@@ -184,9 +185,10 @@ class ModelProbe(object):
                 return ModelType.ONNX
             if (folder_path / "learned_embeds.bin").exists():
                 return ModelType.TextualInversion
-
             if (folder_path / "pytorch_lora_weights.bin").exists():
                 return ModelType.Lora
+            if (folder_path / "image_encoder.txt").exists():
+                return ModelType.IPAdapter
 
             i = folder_path / "model_index.json"
             c = folder_path / "config.json"
@@ -532,8 +534,24 @@ class LoRAFolderProbe(FolderProbeBase):
 
 
 class IPAdapterFolderProbe(FolderProbeBase):
+    def get_format(self) -> str:
+        return IPAdapterModelFormat.InvokeAI.value
+
     def get_base_type(self) -> BaseModelType:
-        raise NotImplementedError()
+        model_file = self.folder_path / "ip_adapter.bin"
+        if not model_file.exists():
+            raise InvalidModelException("Unknown IP-Adapter model format.")
+
+        state_dict = torch.load(model_file)
+        cross_attention_dim = state_dict["ip_adapter"]["1.to_k_ip.weight"].shape[-1]
+        if cross_attention_dim == 768:
+            return BaseModelType.StableDiffusion1
+        elif cross_attention_dim == 1024:
+            return BaseModelType.StableDiffusion2
+        elif cross_attention_dim == 2048:
+            return BaseModelType.StableDiffusionXL
+        else:
+            raise InvalidModelException(f"IP-Adapter had unexpected cross-attention dimension: {cross_attention_dim}.")
 
 
 class CLIPVisionFolderProbe(FolderProbeBase):
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index 2302692a8c..c66bbcf318 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -19,13 +19,13 @@ from invokeai.backend.model_management.models.base import (
 
 
 class IPAdapterModelFormat(str, Enum):
-    # Checkpoint is the 'official' IP-Adapter model format from Tencent (i.e. https://huggingface.co/h94/IP-Adapter)
-    Checkpoint = "checkpoint"
+    # The custom IP-Adapter model format defined by InvokeAI.
+    InvokeAI = "invokeai"
 
 
 class IPAdapterModel(ModelBase):
     class CheckpointConfig(ModelConfigBase):
-        model_format: Literal[IPAdapterModelFormat.Checkpoint]
+        model_format: Literal[IPAdapterModelFormat.InvokeAI]
 
     def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType):
         assert model_type == ModelType.IPAdapter
@@ -38,9 +38,11 @@ class IPAdapterModel(ModelBase):
         if not os.path.exists(path):
             raise ModuleNotFoundError(f"No IP-Adapter model at path '{path}'.")
 
-        if os.path.isfile(path):
-            if path.endswith((".safetensors", ".ckpt", ".pt", ".pth", ".bin")):
-                return IPAdapterModelFormat.Checkpoint
+        if os.path.isdir(path):
+            model_file = os.path.join(path, "ip_adapter.bin")
+            image_encoder_config_file = os.path.join(path, "image_encoder.txt")
+            if os.path.exists(model_file) and os.path.exists(image_encoder_config_file):
+                return IPAdapterModelFormat.InvokeAI
 
         raise InvalidModelException(f"Unexpected IP-Adapter model format: {path}")
 
@@ -63,12 +65,16 @@ class IPAdapterModel(ModelBase):
         if child_type is not None:
             raise ValueError("There are no child models in an IP-Adapter model.")
 
-        # TODO(ryand): Checking for "plus" in the file name is fragile. It should be possible to infer whether this is a
+        # TODO(ryand): Checking for "plus" in the file path is fragile. It should be possible to infer whether this is a
         # "plus" variant by loading the state_dict.
         if "plus" in str(self.model_path):
-            return IPAdapterPlus(ip_adapter_ckpt_path=self.model_path, device="cpu", dtype=torch_dtype)
+            return IPAdapterPlus(
+                ip_adapter_ckpt_path=os.path.join(self.model_path, "ip_adapter.bin"), device="cpu", dtype=torch_dtype
+            )
         else:
-            return IPAdapter(ip_adapter_ckpt_path=self.model_path, device="cpu", dtype=torch_dtype)
+            return IPAdapter(
+                ip_adapter_ckpt_path=os.path.join(self.model_path, "ip_adapter.bin"), device="cpu", dtype=torch_dtype
+            )
 
     @classmethod
     def convert_if_required(
@@ -79,7 +85,7 @@ class IPAdapterModel(ModelBase):
         base_model: BaseModelType,
     ) -> str:
         format = cls.detect_format(model_path)
-        if format == IPAdapterModelFormat.Checkpoint:
+        if format == IPAdapterModelFormat.InvokeAI:
             return model_path
         else:
             raise ValueError(f"Unsupported format: '{format}'.")

From cadc0839a632723769ee0c506a8c1bea7fde8bb6 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 11:19:52 -0400
Subject: [PATCH 137/265] typegen

---
 .../frontend/web/src/services/api/schema.d.ts | 81 ++++++++++++-------
 1 file changed, 54 insertions(+), 27 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 324e49a4b3..a3fe0331b1 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -401,7 +401,7 @@ export type components = {
      * @description An enumeration.
      * @enum {string}
      */
-    BaseModelType: "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
+    BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
     /**
      * Blank Image
      * @description Creates a blank image and forwards it to the pipeline
@@ -780,6 +780,27 @@ export type components = {
        */
       type: "boolean_output";
     };
+    /** CLIPVisionModelDiffusersConfig */
+    CLIPVisionModelDiffusersConfig: {
+      /** Model Name */
+      model_name: string;
+      base_model: components["schemas"]["BaseModelType"];
+      /**
+       * Model Type
+       * @enum {string}
+       */
+      model_type: "clip_vision";
+      /** Path */
+      path: string;
+      /** Description */
+      description?: string;
+      /**
+       * Model Format
+       * @enum {string}
+       */
+      model_format: "diffusers";
+      error?: components["schemas"]["ModelError"];
+    };
     /**
      * CV2 Infill
      * @description Infills transparent areas of an image using OpenCV Inpainting
@@ -2513,7 +2534,7 @@ export type components = {
        * Model Format
        * @enum {string}
        */
-      model_format: "checkpoint";
+      model_format: "invokeai";
       error?: components["schemas"]["ModelError"];
     };
     /** IPAdapterModelField */
@@ -4966,7 +4987,7 @@ export type components = {
      * @description An enumeration.
      * @enum {string}
      */
-    ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter";
+    ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter" | "clip_vision";
     /**
      * ModelVariantType
      * @description An enumeration.
@@ -4976,7 +4997,7 @@ export type components = {
     /** ModelsList */
     ModelsList: {
       /** Models */
-      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
+      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
     };
     /**
      * Multiply Integers
@@ -7235,18 +7256,6 @@ export type components = {
       /** Ui Order */
       ui_order?: number;
     };
-    /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
-    /**
-     * IPAdapterModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    IPAdapterModelFormat: "checkpoint";
     /**
      * StableDiffusion2ModelFormat
      * @description An enumeration.
@@ -7254,11 +7263,17 @@ export type components = {
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
-     * StableDiffusionOnnxModelFormat
+     * ControlNetModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionXLModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion1ModelFormat
      * @description An enumeration.
@@ -7266,11 +7281,23 @@ export type components = {
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
-     * StableDiffusionXLModelFormat
+     * IPAdapterModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    IPAdapterModelFormat: "invokeai";
+    /**
+     * StableDiffusionOnnxModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    /**
+     * CLIPVisionModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    CLIPVisionModelFormat: "diffusers";
   };
   responses: never;
   parameters: never;
@@ -7720,14 +7747,14 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
       };
     };
     responses: {
       /** @description The model was updated successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Bad request */
@@ -7764,7 +7791,7 @@ export type operations = {
       /** @description The model imported successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description The model could not be found */
@@ -7798,14 +7825,14 @@ export type operations = {
   add_model: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
       };
     };
     responses: {
       /** @description The model added successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description The model could not be found */
@@ -7851,7 +7878,7 @@ export type operations = {
       /** @description Model converted successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Bad request */
@@ -7946,7 +7973,7 @@ export type operations = {
       /** @description Model converted successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Incompatible models */

From 388554448afe08153c54a74b35b54a4e5117e613 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 11:57:53 -0400
Subject: [PATCH 138/265] Add CLIP Vision model to IP-Adapter info and use this
 to infer which model to use.

---
 invokeai/app/invocations/ip_adapter.py        | 32 ++++---
 invokeai/app/invocations/latent.py            |  5 +-
 .../model_management/models/ip_adapter.py     | 16 +++-
 .../frontend/web/src/services/api/schema.d.ts | 93 ++++++++++---------
 4 files changed, 84 insertions(+), 62 deletions(-)

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index cf667c9b83..64ffb248d2 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -15,11 +15,7 @@ from invokeai.app.invocations.baseinvocation import (
     invocation_output,
 )
 from invokeai.app.invocations.primitives import ImageField
-from invokeai.backend.model_management.models.base import BaseModelType
-
-IP_ADAPTER_IMAGE_ENCODER_MODELS = Literal[
-    "models/core/ip_adapters/sd-1/image_encoder/", "models/core/ip_adapters/sdxl/image_encoder"
-]
+from invokeai.backend.model_management.models.base import BaseModelType, ModelType
 
 
 class IPAdapterModelField(BaseModel):
@@ -27,14 +23,15 @@ class IPAdapterModelField(BaseModel):
     base_model: BaseModelType = Field(description="Base model")
 
 
+class CLIPVisionModelField(BaseModel):
+    model_name: str = Field(description="Name of the CLIP Vision image encoder model")
+    base_model: BaseModelType = Field(description="Base model (usually 'Any')")
+
+
 class IPAdapterField(BaseModel):
     image: ImageField = Field(description="The IP-Adapter image prompt.")
-
     ip_adapter_model: IPAdapterModelField = Field(description="The IP-Adapter model to use.")
-
-    # TODO(ryand): Create and use a `CLIPImageEncoderField` instead that is analogous to the `ClipField` used elsewhere.
-    image_encoder_model: str = Field(description="The name of the CLIP image encoder model.")
-
+    image_encoder_model: CLIPVisionModelField = Field(description="The name of the CLIP image encoder model.")
     weight: float = Field(default=1.0, ge=0, description="The weight of the IP-Adapter.")
 
 
@@ -55,17 +52,24 @@ class IPAdapterInvocation(BaseInvocation):
         title="IP-Adapter Model",
         input=Input.Direct,
     )
-    image_encoder_model: IP_ADAPTER_IMAGE_ENCODER_MODELS = InputField(
-        default="models/core/ip_adapters/sd-1/image_encoder/", description="The name of the CLIP image encoder model."
-    )
     weight: float = InputField(default=1.0, description="The weight of the IP-Adapter.", ui_type=UIType.Float)
 
     def invoke(self, context: InvocationContext) -> IPAdapterOutput:
+        # Lookup the CLIP Vision encoder that is intended to be used with the IP-Adapter model.
+        ip_adapter_info = context.services.model_manager.model_info(
+            self.ip_adapter_model.model_name, self.ip_adapter_model.base_model, ModelType.IPAdapter
+        )
+        image_encoder_model_name = ip_adapter_info["image_encoder_model"].split("/")[-1].strip()
+        image_encoder_model = CLIPVisionModelField(
+            model_name=image_encoder_model_name,
+            base_model=BaseModelType.Any,
+        )
+
         return IPAdapterOutput(
             ip_adapter=IPAdapterField(
                 image=self.image,
                 ip_adapter_model=self.ip_adapter_model,
-                image_encoder_model=self.image_encoder_model,
+                image_encoder_model=image_encoder_model,
                 weight=self.weight,
             ),
         )
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index fadd505e04..e2dbc5e578 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -417,10 +417,9 @@ class DenoiseLatentsInvocation(BaseInvocation):
             return None
 
         image_encoder_model_info = context.services.model_manager.get_model(
-            # TODO(ryand): Get this model_name from the IPAdapterField.
-            model_name="ip_adapter_sd_image_encoder",
+            model_name=ip_adapter.image_encoder_model.model_name,
             model_type=ModelType.CLIPVision,
-            base_model=BaseModelType.Any,
+            base_model=ip_adapter.image_encoder_model.base_model,
             context=context,
         )
 
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index c66bbcf318..d95c1c60e5 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -24,8 +24,9 @@ class IPAdapterModelFormat(str, Enum):
 
 
 class IPAdapterModel(ModelBase):
-    class CheckpointConfig(ModelConfigBase):
+    class InvokeAIConfig(ModelConfigBase):
         model_format: Literal[IPAdapterModelFormat.InvokeAI]
+        image_encoder_model: str
 
     def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType):
         assert model_type == ModelType.IPAdapter
@@ -46,6 +47,19 @@ class IPAdapterModel(ModelBase):
 
         raise InvalidModelException(f"Unexpected IP-Adapter model format: {path}")
 
+    @classmethod
+    def probe_config(cls, path: str, **kwargs) -> ModelConfigBase:
+        image_encoder_config_file = os.path.join(path, "image_encoder.txt")
+
+        with open(image_encoder_config_file, "r") as f:
+            image_encoder_model = f.readline().strip()
+
+        return cls.create_config(
+            path=path,
+            model_format=cls.detect_format(path),
+            image_encoder_model=image_encoder_model,
+        )
+
     @classproperty
     def save_to_config(cls) -> bool:
         return True
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index a3fe0331b1..915c0c50ca 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -801,6 +801,16 @@ export type components = {
       model_format: "diffusers";
       error?: components["schemas"]["ModelError"];
     };
+    /** CLIPVisionModelField */
+    CLIPVisionModelField: {
+      /**
+       * Model Name
+       * @description Name of the CLIP Vision image encoder model
+       */
+      model_name: string;
+      /** @description Base model (usually 'Any') */
+      base_model: components["schemas"]["BaseModelType"];
+    };
     /**
      * CV2 Infill
      * @description Infills transparent areas of an image using OpenCV Inpainting
@@ -2457,7 +2467,7 @@ export type components = {
        * Image Encoder Model
        * @description The name of the CLIP image encoder model.
        */
-      image_encoder_model: string;
+      image_encoder_model: components["schemas"]["CLIPVisionModelField"];
       /**
        * Weight
        * @description The weight of the IP-Adapter.
@@ -2496,13 +2506,6 @@ export type components = {
        * @description The IP-Adapter model.
        */
       ip_adapter_model: components["schemas"]["IPAdapterModelField"];
-      /**
-       * Image Encoder Model
-       * @description The name of the CLIP image encoder model.
-       * @default models/core/ip_adapters/sd-1/image_encoder/
-       * @enum {string}
-       */
-      image_encoder_model?: "models/core/ip_adapters/sd-1/image_encoder/" | "models/core/ip_adapters/sdxl/image_encoder";
       /**
        * Weight
        * @description The weight of the IP-Adapter.
@@ -2516,8 +2519,18 @@ export type components = {
        */
       type: "ip_adapter";
     };
-    /** IPAdapterModelCheckpointConfig */
-    IPAdapterModelCheckpointConfig: {
+    /** IPAdapterModelField */
+    IPAdapterModelField: {
+      /**
+       * Model Name
+       * @description Name of the IP-Adapter model
+       */
+      model_name: string;
+      /** @description Base model */
+      base_model: components["schemas"]["BaseModelType"];
+    };
+    /** IPAdapterModelInvokeAIConfig */
+    IPAdapterModelInvokeAIConfig: {
       /** Model Name */
       model_name: string;
       base_model: components["schemas"]["BaseModelType"];
@@ -2536,16 +2549,8 @@ export type components = {
        */
       model_format: "invokeai";
       error?: components["schemas"]["ModelError"];
-    };
-    /** IPAdapterModelField */
-    IPAdapterModelField: {
-      /**
-       * Model Name
-       * @description Name of the IP-Adapter model
-       */
-      model_name: string;
-      /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      /** Image Encoder Model */
+      image_encoder_model: string;
     };
     /**
      * IPAdapterOutput
@@ -4997,7 +5002,7 @@ export type components = {
     /** ModelsList */
     ModelsList: {
       /** Models */
-      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
+      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
     };
     /**
      * Multiply Integers
@@ -7263,23 +7268,29 @@ export type components = {
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
-     * ControlNetModelFormat
+     * StableDiffusionOnnxModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionXLModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
      * StableDiffusion1ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * CLIPVisionModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    CLIPVisionModelFormat: "diffusers";
+    /**
+     * StableDiffusionXLModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * IPAdapterModelFormat
      * @description An enumeration.
@@ -7287,17 +7298,11 @@ export type components = {
      */
     IPAdapterModelFormat: "invokeai";
     /**
-     * StableDiffusionOnnxModelFormat
+     * ControlNetModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
-    /**
-     * CLIPVisionModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    CLIPVisionModelFormat: "diffusers";
+    ControlNetModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -7747,14 +7752,14 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
       };
     };
     responses: {
       /** @description The model was updated successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Bad request */
@@ -7791,7 +7796,7 @@ export type operations = {
       /** @description The model imported successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description The model could not be found */
@@ -7825,14 +7830,14 @@ export type operations = {
   add_model: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
       };
     };
     responses: {
       /** @description The model added successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description The model could not be found */
@@ -7878,7 +7883,7 @@ export type operations = {
       /** @description Model converted successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Bad request */
@@ -7973,7 +7978,7 @@ export type operations = {
       /** @description Model converted successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelCheckpointConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Incompatible models */

From cc8b7a74daf7b12d9094a87df31a8d2773df7da4 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 13:04:34 -0400
Subject: [PATCH 139/265] (minor) Delete minor TODO.

---
 invokeai/frontend/web/src/features/nodes/types/constants.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index 31d3ac67d3..d2c4abebe9 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -242,7 +242,7 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     title: 'IP-Adapter',
   },
   IPAdapterModelField: {
-    color: 'teal.500', // TODO(ryand): Pick a color
+    color: 'teal.500',
     description: 'IP-Adapter model',
     title: 'IP-Adapter Model',
   },

From d114d0ba9536ee7097d9de0372e596a96580c11c Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 14:14:35 -0400
Subject: [PATCH 140/265] Remove need for the image_encoder param in
 IPAdapter.initialize().

---
 invokeai/app/invocations/latent.py        |  8 ++--
 invokeai/backend/ip_adapter/ip_adapter.py | 46 +++++++++++++++--------
 invokeai/backend/ip_adapter/resampler.py  | 36 ++++++++++++++++++
 3 files changed, 70 insertions(+), 20 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index e2dbc5e578..de6d0236c7 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -434,13 +434,13 @@ class DenoiseLatentsInvocation(BaseInvocation):
 
         input_image = context.services.images.get_pil_image(ip_adapter.image.image_name)
 
+        if not ip_adapter_model.is_initialized():
+            # TODO(ryan): Do we need to initialize every time? How long does initialize take?
+            ip_adapter_model.initialize(unet)
+
         # TODO(ryand): With some effort, the step of running the CLIP Vision encoder could be done before any other
         # models are needed in memory. This would help to reduce peak memory utilization in low-memory environments.
         with image_encoder_model_info as image_encoder_model:
-            if not ip_adapter_model.is_initialized():
-                # TODO(ryan): Do we need to initialize every time? How long does initialize take?
-                ip_adapter_model.initialize(unet, image_encoder_model)
-
             # Get image embeddings from CLIP and ImageProjModel.
             image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter_model.get_image_embeds(
                 input_image, image_encoder_model
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 8d70986594..0471c0179f 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -32,6 +32,27 @@ class ImageProjModel(torch.nn.Module):
         self.proj = torch.nn.Linear(clip_embeddings_dim, self.clip_extra_context_tokens * cross_attention_dim)
         self.norm = torch.nn.LayerNorm(cross_attention_dim)
 
+    @classmethod
+    def from_state_dict(cls, state_dict: dict[torch.Tensor], clip_extra_context_tokens=4):
+        """Initialize an ImageProjModel from a state_dict.
+
+        The cross_attention_dim and clip_embeddings_dim are inferred from the shape of the tensors in the state_dict.
+
+        Args:
+            state_dict (dict[torch.Tensor]): The state_dict of model weights.
+            clip_extra_context_tokens (int, optional): Defaults to 4.
+
+        Returns:
+            ImageProjModel
+        """
+        cross_attention_dim = state_dict["norm.weight"].shape[0]
+        clip_embeddings_dim = state_dict["proj.weight"].shape[-1]
+
+        model = cls(cross_attention_dim, clip_embeddings_dim, clip_extra_context_tokens)
+
+        model.load_state_dict(state_dict)
+        return model
+
     def forward(self, image_embeds):
         embeds = image_embeds
         clip_extra_context_tokens = self.proj(embeds).reshape(
@@ -69,7 +90,7 @@ class IPAdapter:
     def is_initialized(self):
         return self._unet is not None and self._image_proj_model is not None and self._attn_processors is not None
 
-    def initialize(self, unet: UNet2DConditionModel, image_encoder: CLIPVisionModelWithProjection):
+    def initialize(self, unet: UNet2DConditionModel):
         """Finish the model initialization process.
 
         HACK: This is separate from __init__ for compatibility with the model manager. The full initialization requires
@@ -82,13 +103,11 @@ class IPAdapter:
             raise Exception("IPAdapter has already been initialized.")
 
         self._unet = unet
-        # TODO(ryand): Eliminate the need to pass the image_encoder to initialize(). It should be possible to infer the
-        # necessary information from the state_dict.
-        self._image_proj_model = self._init_image_proj_model(image_encoder)
+
+        self._image_proj_model = self._init_image_proj_model(self._state_dict["image_proj"])
         self._attn_processors = self._prepare_attention_processors()
 
         # Copy the weights from the _state_dict into the models.
-        self._image_proj_model.load_state_dict(self._state_dict["image_proj"])
         ip_layers = torch.nn.ModuleList(self._attn_processors.values())
         ip_layers.load_state_dict(self._state_dict["ip_adapter"])
 
@@ -105,12 +124,9 @@ class IPAdapter:
             if model is not None:
                 model.to(device=self.device, dtype=self.dtype)
 
-    def _init_image_proj_model(self, image_encoder: CLIPVisionModelWithProjection):
-        image_proj_model = ImageProjModel(
-            cross_attention_dim=self._unet.config.cross_attention_dim,
-            clip_embeddings_dim=image_encoder.config.projection_dim,
-            clip_extra_context_tokens=self._num_tokens,
-        ).to(self.device, dtype=self.dtype)
+    def _init_image_proj_model(self, state_dict):
+        image_proj_model = ImageProjModel.from_state_dict(state_dict, self._num_tokens)
+        image_proj_model.to(self.device, dtype=self.dtype)
         return image_proj_model
 
     def _prepare_attention_processors(self):
@@ -183,15 +199,13 @@ class IPAdapter:
 class IPAdapterPlus(IPAdapter):
     """IP-Adapter with fine-grained features"""
 
-    def _init_image_proj_model(self, image_encoder: CLIPVisionModelWithProjection):
-        image_proj_model = Resampler(
-            dim=self._unet.config.cross_attention_dim,
+    def _init_image_proj_model(self, state_dict):
+        image_proj_model = Resampler.from_state_dict(
+            state_dict=state_dict,
             depth=4,
             dim_head=64,
             heads=12,
             num_queries=self._num_tokens,
-            embedding_dim=image_encoder.config.hidden_size,
-            output_dim=self._unet.config.cross_attention_dim,
             ff_mult=4,
         ).to(self.device, dtype=self.dtype)
         return image_proj_model
diff --git a/invokeai/backend/ip_adapter/resampler.py b/invokeai/backend/ip_adapter/resampler.py
index 3d326568a0..84224fd359 100644
--- a/invokeai/backend/ip_adapter/resampler.py
+++ b/invokeai/backend/ip_adapter/resampler.py
@@ -109,6 +109,42 @@ class Resampler(nn.Module):
                 )
             )
 
+    @classmethod
+    def from_state_dict(cls, state_dict: dict[torch.Tensor], depth=8, dim_head=64, heads=16, num_queries=8, ff_mult=4):
+        """A convenience function that initializes a Resampler from a state_dict.
+
+        Some of the shape parameters are inferred from the state_dict (e.g. dim, embedding_dim, etc.). At the time of
+        writing, we did not have a need for inferring ALL of the shape parameters from the state_dict, but this would be
+        possible if needed in the future.
+
+        Args:
+            state_dict (dict[torch.Tensor]): The state_dict to load.
+            depth (int, optional):
+            dim_head (int, optional):
+            heads (int, optional):
+            ff_mult (int, optional):
+
+        Returns:
+            Resampler
+        """
+        dim = state_dict["latents"].shape[2]
+        num_queries = state_dict["latents"].shape[1]
+        embedding_dim = state_dict["proj_in.weight"].shape[-1]
+        output_dim = state_dict["norm_out.weight"].shape[0]
+
+        model = cls(
+            dim=dim,
+            depth=depth,
+            dim_head=dim_head,
+            heads=heads,
+            num_queries=num_queries,
+            embedding_dim=embedding_dim,
+            output_dim=output_dim,
+            ff_mult=ff_mult,
+        )
+        model.load_state_dict(state_dict)
+        return model
+
     def forward(self, x):
         latents = self.latents.repeat(x.size(0), 1, 1)
 

From 781e8521d5a45b151d4b95afd3fff3da863e1fd6 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 15:02:59 -0400
Subject: [PATCH 141/265] Eliminate the need for IPAdapter.initialize().

---
 invokeai/app/invocations/latent.py            |   4 -
 invokeai/backend/ip_adapter/ip_adapter.py     | 110 +++++++-----------
 .../stable_diffusion/diffusers_pipeline.py    |   6 +-
 3 files changed, 44 insertions(+), 76 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index de6d0236c7..5008480926 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -434,10 +434,6 @@ class DenoiseLatentsInvocation(BaseInvocation):
 
         input_image = context.services.images.get_pil_image(ip_adapter.image.image_name)
 
-        if not ip_adapter_model.is_initialized():
-            # TODO(ryan): Do we need to initialize every time? How long does initialize take?
-            ip_adapter_model.initialize(unet)
-
         # TODO(ryand): With some effort, the step of running the CLIP Vision encoder could be done before any other
         # models are needed in memory. This would help to reduce peak memory utilization in low-memory environments.
         with image_encoder_model_info as image_encoder_model:
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 0471c0179f..4937fb3f77 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -80,70 +80,44 @@ class IPAdapter:
 
         self._clip_image_processor = CLIPImageProcessor()
 
-        # Fields to be initialized later in initialize().
-        self._unet = None
-        self._image_proj_model = None
-        self._attn_processors = None
-
         self._state_dict = torch.load(self._ip_adapter_ckpt_path, map_location="cpu")
 
-    def is_initialized(self):
-        return self._unet is not None and self._image_proj_model is not None and self._attn_processors is not None
-
-    def initialize(self, unet: UNet2DConditionModel):
-        """Finish the model initialization process.
-
-        HACK: This is separate from __init__ for compatibility with the model manager. The full initialization requires
-        access to the UNet model to be patched, which can not easily be passed to __init__ by the model manager.
-
-        Args:
-            unet (UNet2DConditionModel): The UNet whose attention blocks will be patched by this IP-Adapter.
-        """
-        if self.is_initialized():
-            raise Exception("IPAdapter has already been initialized.")
-
-        self._unet = unet
-
         self._image_proj_model = self._init_image_proj_model(self._state_dict["image_proj"])
-        self._attn_processors = self._prepare_attention_processors()
 
-        # Copy the weights from the _state_dict into the models.
-        ip_layers = torch.nn.ModuleList(self._attn_processors.values())
-        ip_layers.load_state_dict(self._state_dict["ip_adapter"])
-
-        self._state_dict = None
+        # The _attn_processors will be initialized later when we have access to the UNet.
+        self._attn_processors = None
 
     def to(self, device: torch.device, dtype: Optional[torch.dtype] = None):
         self.device = device
         if dtype is not None:
             self.dtype = dtype
 
-        for model in [self._image_proj_model, self._attn_processors]:
-            # If this is called before initialize(), then some models will still be None. We just update the non-None
-            # models.
-            if model is not None:
-                model.to(device=self.device, dtype=self.dtype)
+        self._image_proj_model.to(device=self.device, dtype=self.dtype)
+        if self._attn_processors is not None:
+            torch.nn.ModuleList(self._attn_processors).to(device=self.device, dtype=self.dtype)
 
     def _init_image_proj_model(self, state_dict):
-        image_proj_model = ImageProjModel.from_state_dict(state_dict, self._num_tokens)
-        image_proj_model.to(self.device, dtype=self.dtype)
-        return image_proj_model
+        return ImageProjModel.from_state_dict(state_dict, self._num_tokens).to(self.device, dtype=self.dtype)
 
-    def _prepare_attention_processors(self):
-        """Creates a dict of attention processors that can later be injected into `self.unet`, and loads the IP-Adapter
+    def _prepare_attention_processors(self, unet: UNet2DConditionModel):
+        """Prepare a dict of attention processors that can later be injected into a unet, and load the IP-Adapter
         attention weights into them.
+
+        Note that the `unet` param is only used to determine attention block dimensions and naming.
+        TODO(ryand): As a future improvement, this could all be inferred from the state_dict when the IPAdapter is
+        intialized.
         """
         attn_procs = {}
-        for name in self._unet.attn_processors.keys():
-            cross_attention_dim = None if name.endswith("attn1.processor") else self._unet.config.cross_attention_dim
+        for name in unet.attn_processors.keys():
+            cross_attention_dim = None if name.endswith("attn1.processor") else unet.config.cross_attention_dim
             if name.startswith("mid_block"):
-                hidden_size = self._unet.config.block_out_channels[-1]
+                hidden_size = unet.config.block_out_channels[-1]
             elif name.startswith("up_blocks"):
                 block_id = int(name[len("up_blocks.")])
-                hidden_size = list(reversed(self._unet.config.block_out_channels))[block_id]
+                hidden_size = list(reversed(unet.config.block_out_channels))[block_id]
             elif name.startswith("down_blocks"):
                 block_id = int(name[len("down_blocks.")])
-                hidden_size = self._unet.config.block_out_channels[block_id]
+                hidden_size = unet.config.block_out_channels[block_id]
             if cross_attention_dim is None:
                 attn_procs[name] = AttnProcessor()
             else:
@@ -152,33 +126,43 @@ class IPAdapter:
                     cross_attention_dim=cross_attention_dim,
                     scale=1.0,
                 ).to(self.device, dtype=self.dtype)
-        return attn_procs
+
+        ip_layers = torch.nn.ModuleList(attn_procs.values())
+        ip_layers.load_state_dict(self._state_dict["ip_adapter"])
+        self._attn_processors = attn_procs
+        self._state_dict = None
 
     @contextmanager
-    def apply_ip_adapter_attention(self):
-        """A context manager that patches `self._unet` with this IP-Adapter's attention processors while it is active.
+    def apply_ip_adapter_attention(self, unet: UNet2DConditionModel, scale: int):
+        """A context manager that patches `unet` with this IP-Adapter's attention processors while it is active.
 
         Yields:
             None
         """
-        if not self.is_initialized():
-            raise Exception("Call IPAdapter.initialize() before calling IPAdapter.apply_ip_adapter_attention().")
+        if self._attn_processors is None:
+            # We only have to call _prepare_attention_processors(...) once, and then the result is cached and can be
+            # used on any UNet model (with the same dimensions).
+            self._prepare_attention_processors(unet)
 
-        orig_attn_processors = self._unet.attn_processors
-        # Make a (moderately-) shallow copy of the self._attn_processors dict, because set_attn_processor(...) actually
-        # pops elements from the passed dict.
+        # Set scale.
+        for attn_processor in self._attn_processors.values():
+            if isinstance(attn_processor, IPAttnProcessor):
+                attn_processor.scale = scale
+
+        orig_attn_processors = unet.attn_processors
+
+        # Make a (moderately-) shallow copy of the self._attn_processors dict, because unet.set_attn_processor(...)
+        # actually pops elements from the passed dict.
         ip_adapter_attn_processors = {k: v for k, v in self._attn_processors.items()}
+
         try:
-            self._unet.set_attn_processor(ip_adapter_attn_processors)
+            unet.set_attn_processor(ip_adapter_attn_processors)
             yield None
         finally:
-            self._unet.set_attn_processor(orig_attn_processors)
+            unet.set_attn_processor(orig_attn_processors)
 
     @torch.inference_mode()
     def get_image_embeds(self, pil_image, image_encoder: CLIPVisionModelWithProjection):
-        if not self.is_initialized():
-            raise Exception("Call IPAdapter.initialize() before calling IPAdapter.get_image_embeds().")
-
         if isinstance(pil_image, Image.Image):
             pil_image = [pil_image]
         clip_image = self._clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
@@ -187,20 +171,12 @@ class IPAdapter:
         uncond_image_prompt_embeds = self._image_proj_model(torch.zeros_like(clip_image_embeds))
         return image_prompt_embeds, uncond_image_prompt_embeds
 
-    def set_scale(self, scale):
-        if not self.is_initialized():
-            raise Exception("Call IPAdapter.initialize() before calling IPAdapter.set_scale().")
-
-        for attn_processor in self._attn_processors.values():
-            if isinstance(attn_processor, IPAttnProcessor):
-                attn_processor.scale = scale
-
 
 class IPAdapterPlus(IPAdapter):
     """IP-Adapter with fine-grained features"""
 
     def _init_image_proj_model(self, state_dict):
-        image_proj_model = Resampler.from_state_dict(
+        return Resampler.from_state_dict(
             state_dict=state_dict,
             depth=4,
             dim_head=64,
@@ -208,13 +184,9 @@ class IPAdapterPlus(IPAdapter):
             num_queries=self._num_tokens,
             ff_mult=4,
         ).to(self.device, dtype=self.dtype)
-        return image_proj_model
 
     @torch.inference_mode()
     def get_image_embeds(self, pil_image, image_encoder: CLIPVisionModelWithProjection):
-        if not self.is_initialized():
-            raise Exception("Call IPAdapter.initialize() before calling IPAdapter.get_image_embeds().")
-
         if isinstance(pil_image, Image.Image):
             pil_image = [pil_image]
         clip_image = self._clip_image_processor(images=pil_image, return_tensors="pt").pixel_values
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 51df61ce03..dc903ef8ca 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -423,9 +423,9 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         elif ip_adapter_data is not None:
             # TODO(ryand): Should we raise an exception if both custom attention and IP-Adapter attention are active?
             # As it is now, the IP-Adapter will silently be skipped.
-
-            ip_adapter_data.ip_adapter_model.set_scale(ip_adapter_data.weight)
-            attn_ctx = ip_adapter_data.ip_adapter_model.apply_ip_adapter_attention()
+            attn_ctx = ip_adapter_data.ip_adapter_model.apply_ip_adapter_attention(
+                unet=self.invokeai_diffuser.model, scale=ip_adapter_data.weight
+            )
         else:
             attn_ctx = nullcontext()
 

From a22c8cb3a1641367b8e362ac3bfbe40c0467d962 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 15:24:47 -0400
Subject: [PATCH 142/265] Improve robustness of check for IPAdapter vs
 IPAdapterPlus.

---
 invokeai/backend/ip_adapter/ip_adapter.py     | 23 +++++++++++++++----
 .../model_management/models/ip_adapter.py     | 19 +++++++--------
 2 files changed, 27 insertions(+), 15 deletions(-)

diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 4937fb3f77..30866cc5af 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -1,8 +1,9 @@
 # copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
 #   and modified as needed
 
+import os
 from contextlib import contextmanager
-from typing import Optional
+from typing import Optional, Union
 
 import torch
 from diffusers.models import UNet2DConditionModel
@@ -67,7 +68,7 @@ class IPAdapter:
 
     def __init__(
         self,
-        ip_adapter_ckpt_path: str,
+        state_dict: dict[torch.Tensor],
         device: torch.device,
         dtype: torch.dtype = torch.float16,
         num_tokens: int = 4,
@@ -75,12 +76,11 @@ class IPAdapter:
         self.device = device
         self.dtype = dtype
 
-        self._ip_adapter_ckpt_path = ip_adapter_ckpt_path
         self._num_tokens = num_tokens
 
         self._clip_image_processor = CLIPImageProcessor()
 
-        self._state_dict = torch.load(self._ip_adapter_ckpt_path, map_location="cpu")
+        self._state_dict = state_dict
 
         self._image_proj_model = self._init_image_proj_model(self._state_dict["image_proj"])
 
@@ -198,3 +198,18 @@ class IPAdapterPlus(IPAdapter):
         ]
         uncond_image_prompt_embeds = self._image_proj_model(uncond_clip_image_embeds)
         return image_prompt_embeds, uncond_image_prompt_embeds
+
+
+def build_ip_adapter(
+    ip_adapter_ckpt_path: str, device: torch.device, dtype: torch.dtype = torch.float16
+) -> Union[IPAdapter, IPAdapterPlus]:
+    state_dict = torch.load(ip_adapter_ckpt_path, map_location="cpu")
+
+    # Determine if the state_dict is from an IPAdapter or IPAdapterPlus based on the image_proj weights that it
+    # contains.
+    is_plus = "proj.weight" not in state_dict["image_proj"]
+
+    if is_plus:
+        return IPAdapterPlus(state_dict, device=device, dtype=dtype)
+    else:
+        return IPAdapter(state_dict, device=device, dtype=dtype)
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index d95c1c60e5..59a9e4846b 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -5,7 +5,11 @@ from typing import Any, Literal, Optional
 
 import torch
 
-from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
+from invokeai.backend.ip_adapter.ip_adapter import (
+    IPAdapter,
+    IPAdapterPlus,
+    build_ip_adapter,
+)
 from invokeai.backend.model_management.models.base import (
     BaseModelType,
     InvalidModelException,
@@ -79,16 +83,9 @@ class IPAdapterModel(ModelBase):
         if child_type is not None:
             raise ValueError("There are no child models in an IP-Adapter model.")
 
-        # TODO(ryand): Checking for "plus" in the file path is fragile. It should be possible to infer whether this is a
-        # "plus" variant by loading the state_dict.
-        if "plus" in str(self.model_path):
-            return IPAdapterPlus(
-                ip_adapter_ckpt_path=os.path.join(self.model_path, "ip_adapter.bin"), device="cpu", dtype=torch_dtype
-            )
-        else:
-            return IPAdapter(
-                ip_adapter_ckpt_path=os.path.join(self.model_path, "ip_adapter.bin"), device="cpu", dtype=torch_dtype
-            )
+        return build_ip_adapter(
+            ip_adapter_ckpt_path=os.path.join(self.model_path, "ip_adapter.bin"), device="cpu", dtype=torch_dtype
+        )
 
     @classmethod
     def convert_if_required(

From 94c186bb4c3960c952228d3fe8cf48e7b9673a11 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 15:45:25 -0400
Subject: [PATCH 143/265] Fix bug in IPAdapter.to(...).

---
 invokeai/backend/ip_adapter/ip_adapter.py              | 4 +++-
 invokeai/backend/model_management/models/ip_adapter.py | 1 -
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 30866cc5af..31ee815eae 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -18,6 +18,8 @@ from diffusers.models import UNet2DConditionModel
 from PIL import Image
 from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
+from invokeai.backend.model_management.models.base import calc_model_size_by_data
+
 from .attention_processor import AttnProcessor, IPAttnProcessor
 from .resampler import Resampler
 
@@ -94,7 +96,7 @@ class IPAdapter:
 
         self._image_proj_model.to(device=self.device, dtype=self.dtype)
         if self._attn_processors is not None:
-            torch.nn.ModuleList(self._attn_processors).to(device=self.device, dtype=self.dtype)
+            torch.nn.ModuleList(self._attn_processors.values()).to(device=self.device, dtype=self.dtype)
 
     def _init_image_proj_model(self, state_dict):
         return ImageProjModel.from_state_dict(state_dict, self._num_tokens).to(self.device, dtype=self.dtype)
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index 59a9e4846b..976711c720 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -72,7 +72,6 @@ class IPAdapterModel(ModelBase):
         if child_type is not None:
             raise ValueError("There are no child models in an IP-Adapter model.")
 
-        # TODO(ryand): Update self.model_size when the model is loaded from disk.
         return self.model_size
 
     def get_model(

From fca60862e285e54131c24f2c7a17eccfa47d533d Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 16:02:07 -0400
Subject: [PATCH 144/265] Add README.md describing IP-Adapter model formats.

---
 invokeai/backend/ip_adapter/README.md | 36 +++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)
 create mode 100644 invokeai/backend/ip_adapter/README.md

diff --git a/invokeai/backend/ip_adapter/README.md b/invokeai/backend/ip_adapter/README.md
new file mode 100644
index 0000000000..6ba18e7ade
--- /dev/null
+++ b/invokeai/backend/ip_adapter/README.md
@@ -0,0 +1,36 @@
+# IP-Adapter Model Formats
+
+The official IP-Adapter models are released here: [h94/IP-Adapter](https://huggingface.co/h94/IP-Adapter)
+
+This official model repo does not integrate well with InvokeAI's current approach to model management, so we have defined a new file structure for IP-Adapter models. The InvokeAI format is described below.
+
+## CLIP Vision Models
+
+CLIP Vision models are organized in `diffusers`` format. The expected directory structure is:
+
+```bash
+ip_adapter_sd_image_encoder/
+├── config.json
+└── model.safetensors
+```
+
+## IP-Adapter Models
+
+IP-Adapter models are stored in a directory containing two files
+- `image_encoder.txt`: A text file containing the model identifier for the CLIP Vision encoder that is intended to be used with this IP-Adapter model.
+- `ip_adapter.bin`: The IP-Adapter weights.
+
+Sample directory structure:
+```bash
+ip_adapter_sd15/
+├── image_encoder.txt
+└── ip_adapter.bin
+```
+
+### Why save the weights in a .safetensors file?
+
+The weights in `ip_adapter.bin` are stored in a nested dict, which is not supported by `safetensors`. This could be solved by splitting `ip_adapter.bin` into multiple files, but for now we have decided to maintain consistency with the checkpoint structure used in the official [h94/IP-Adapter](https://huggingface.co/h94/IP-Adapter) repo.
+
+## InvokeAI-Hosted IP-Adapters
+
+TODO(ryand): Add list

From e02a55745434c84bcc398f15cd8e38602670f796 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 16:43:43 -0400
Subject: [PATCH 145/265] Fix frontend typescript errors.

---
 .../web/src/features/parameters/types/constants.ts        | 6 ++++++
 .../web/src/features/parameters/types/parameterSchemas.ts | 8 +++++++-
 invokeai/frontend/web/src/services/api/types.ts           | 5 ++---
 3 files changed, 15 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/features/parameters/types/constants.ts b/invokeai/frontend/web/src/features/parameters/types/constants.ts
index dd0e738eeb..4494d235af 100644
--- a/invokeai/frontend/web/src/features/parameters/types/constants.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/constants.ts
@@ -1,6 +1,7 @@
 import { components } from 'services/api/schema';
 
 export const MODEL_TYPE_MAP = {
+  any: 'Any',
   'sd-1': 'Stable Diffusion 1.x',
   'sd-2': 'Stable Diffusion 2.x',
   sdxl: 'Stable Diffusion XL',
@@ -8,6 +9,7 @@ export const MODEL_TYPE_MAP = {
 };
 
 export const MODEL_TYPE_SHORT_MAP = {
+  any: 'Any',
   'sd-1': 'SD1',
   'sd-2': 'SD2',
   sdxl: 'SDXL',
@@ -15,6 +17,10 @@ export const MODEL_TYPE_SHORT_MAP = {
 };
 
 export const clipSkipMap = {
+  any: {
+    maxClip: 0,
+    markers: [],
+  },
   'sd-1': {
     maxClip: 12,
     markers: [0, 1, 2, 3, 4, 8, 12],
diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
index 63e4883e6b..fa3d7b22fe 100644
--- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
@@ -210,7 +210,13 @@ export type HeightParam = z.infer<typeof zHeight>;
 export const isValidHeight = (val: unknown): val is HeightParam =>
   zHeight.safeParse(val).success;
 
-export const zBaseModel = z.enum(['sd-1', 'sd-2', 'sdxl', 'sdxl-refiner']);
+export const zBaseModel = z.enum([
+  'any',
+  'sd-1',
+  'sd-2',
+  'sdxl',
+  'sdxl-refiner',
+]);
 
 export type BaseModelParam = z.infer<typeof zBaseModel>;
 
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index 23db4dae66..0c6d2ad1c4 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -74,9 +74,8 @@ export type ControlNetModelDiffusersConfig =
 export type ControlNetModelConfig =
   | ControlNetModelCheckpointConfig
   | ControlNetModelDiffusersConfig;
-export type IPAdapterModelCheckpointConfig =
-  s['IPAdapterModelCheckpointConfig'];
-export type IPAdapterModelConfig = IPAdapterModelCheckpointConfig;
+export type IPAdapterModelInvokeAIConfig = s['IPAdapterModelInvokeAIConfig'];
+export type IPAdapterModelConfig = IPAdapterModelInvokeAIConfig;
 export type TextualInversionModelConfig = s['TextualInversionModelConfig'];
 export type DiffusersModelConfig =
   | s['StableDiffusion1ModelDiffusersConfig']

From c2f074dc2fe0485fa8935b35b3ee00e4cec302a1 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 16:48:47 -0400
Subject: [PATCH 146/265] Fix python static checks.

---
 invokeai/app/invocations/ip_adapter.py                  | 2 --
 invokeai/backend/ip_adapter/ip_adapter.py               | 3 ---
 invokeai/backend/model_management/model_probe.py        | 5 +++--
 invokeai/backend/model_management/models/ip_adapter.py  | 3 +--
 invokeai/backend/stable_diffusion/diffusers_pipeline.py | 3 +--
 5 files changed, 5 insertions(+), 11 deletions(-)

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index 64ffb248d2..84183d8a06 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -1,5 +1,3 @@
-from typing import Literal
-
 from pydantic import BaseModel, Field
 
 from invokeai.app.invocations.baseinvocation import (
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index 31ee815eae..d3bbfb6b37 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -1,7 +1,6 @@
 # copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
 #   and modified as needed
 
-import os
 from contextlib import contextmanager
 from typing import Optional, Union
 
@@ -18,8 +17,6 @@ from diffusers.models import UNet2DConditionModel
 from PIL import Image
 from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
-from invokeai.backend.model_management.models.base import calc_model_size_by_data
-
 from .attention_processor import AttnProcessor, IPAttnProcessor
 from .resampler import Resampler
 
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index d9227fb722..046f596c1e 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -8,7 +8,6 @@ import torch
 from diffusers import ConfigMixin, ModelMixin
 from picklescan.scanner import scan_file_path
 
-from invokeai.backend.model_management.models import BaseModelType
 from invokeai.backend.model_management.models.ip_adapter import IPAdapterModelFormat
 
 from .models import (
@@ -512,7 +511,9 @@ class ControlNetFolderProbe(FolderProbeBase):
             else (
                 BaseModelType.StableDiffusion2
                 if dimension == 1024
-                else BaseModelType.StableDiffusionXL if dimension == 2048 else None
+                else BaseModelType.StableDiffusionXL
+                if dimension == 2048
+                else None
             )
         )
         if not base_model:
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index 976711c720..70f42ec2a9 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -1,7 +1,7 @@
 import os
 import typing
 from enum import Enum
-from typing import Any, Literal, Optional
+from typing import Literal, Optional
 
 import torch
 
@@ -17,7 +17,6 @@ from invokeai.backend.model_management.models.base import (
     ModelConfigBase,
     ModelType,
     SubModelType,
-    calc_model_size_by_fs,
     classproperty,
 )
 
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index dc903ef8ca..fe93d52ff9 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -26,10 +26,9 @@ from pydantic import Field
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
 from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
+from invokeai.backend.ip_adapter.ip_adapter import IPAdapter
 from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
     ConditioningData,
-    IPAdapterConditioningInfo,
 )
 
 from ..util import auto_detect_slice_size, normalize_device

From fe19f11abfd36bcb72ed2e993b649759119f4275 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 16:54:07 -0400
Subject: [PATCH 147/265] Bump DenoiseLatentsInvocation minor version.

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

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 5008480926..74d8005d9c 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -196,7 +196,7 @@ def get_scheduler(
     title="Denoise Latents",
     tags=["latents", "denoise", "txt2img", "t2i", "t2l", "img2img", "i2i", "l2l"],
     category="latents",
-    version="1.0.0",
+    version="1.1.0",
 )
 class DenoiseLatentsInvocation(BaseInvocation):
     """Denoises noisy latents to decodable images"""

From 18095ecc4456af25b4a068f0f304418d005be0ef Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 16:56:51 -0400
Subject: [PATCH 148/265] yarn build

---
 .../frontend/web/dist/assets/App-38aa65d2.js  | 169 ------------------
 .../frontend/web/dist/assets/App-8debc7c9.js  | 169 ++++++++++++++++++
 ...140.js => ThemeLocaleProvider-8a2cbdd7.js} |   2 +-
 .../web/dist/assets/index-221b61a5.js         | 128 -------------
 .../web/dist/assets/index-a548858c.js         | 128 +++++++++++++
 .../{menu-0be27786.js => menu-ae65a4ab.js}    |   2 +-
 invokeai/frontend/web/dist/index.html         |   2 +-
 7 files changed, 300 insertions(+), 300 deletions(-)
 delete mode 100644 invokeai/frontend/web/dist/assets/App-38aa65d2.js
 create mode 100644 invokeai/frontend/web/dist/assets/App-8debc7c9.js
 rename invokeai/frontend/web/dist/assets/{ThemeLocaleProvider-a10df140.js => ThemeLocaleProvider-8a2cbdd7.js} (99%)
 delete mode 100644 invokeai/frontend/web/dist/assets/index-221b61a5.js
 create mode 100644 invokeai/frontend/web/dist/assets/index-a548858c.js
 rename invokeai/frontend/web/dist/assets/{menu-0be27786.js => menu-ae65a4ab.js} (99%)

diff --git a/invokeai/frontend/web/dist/assets/App-38aa65d2.js b/invokeai/frontend/web/dist/assets/App-38aa65d2.js
deleted file mode 100644
index 58adb6eab9..0000000000
--- a/invokeai/frontend/web/dist/assets/App-38aa65d2.js
+++ /dev/null
@@ -1,169 +0,0 @@
-var H0=(e,t,n)=>{if(!t.has(e))throw TypeError("Cannot "+n)};var Se=(e,t,n)=>(H0(e,t,"read from private field"),n?n.call(e):t.get(e)),Jt=(e,t,n)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,n)},Zr=(e,t,n,r)=>(H0(e,t,"write to private field"),r?r.call(e,n):t.set(e,n),n);var vu=(e,t,n,r)=>({set _(o){Zr(e,t,o,n)},get _(){return Se(e,t,r)}}),os=(e,t,n)=>(H0(e,t,"access private method"),n);import{a as gd,b as xj,S as bj,c as yj,d as Cj,e as Jv,f as wj,i as e1,g as i7,k as l7,h as OC,j as Sj,t as c7,l as u7,m as d7,n as f7,o as p7,p as h7,q as m7,r as V0,s as g7,u as d,v as a,w as Dx,x as Bp,y as v7,z as x7,A as b7,B as y7,P as C7,C as Rx,D as w7,E as S7,F as k7,G as _7,H as kj,I as Pe,J as j7,K as _e,L as et,M as Fe,N as vd,O as nr,Q as gn,R as Hn,T as Xt,U as Ki,V as Qa,W as at,X as lo,Y as Xl,Z as aa,_ as cm,$ as Ax,a0 as Oc,a1 as nn,a2 as P7,a3 as H,a4 as DC,a5 as I7,a6 as _j,a7 as t1,a8 as xd,a9 as E7,aa as 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cge(){const e=te(),{canRedo:t,activeTabName:n}=F(lge),{t:r}=we(),o=()=>{e(A9())};return Qe(["meta+shift+z","ctrl+shift+z","control+y","meta+y"],()=>{o()},{enabled:()=>t,preventDefault:!0},[n,t]),a.jsx(Te,{"aria-label":`${r("unifiedCanvas.redo")} (Ctrl+Shift+Z)`,tooltip:`${r("unifiedCanvas.redo")} (Ctrl+Shift+Z)`,icon:a.jsx(EZ,{}),onClick:o,isDisabled:!t})}const uge=()=>{const e=F(xo),t=te(),{t:n}=we();return 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e=te(),{t}=we(),{shouldAutoSave:n,shouldCropToBoundingBoxOnSave:r,shouldDarkenOutsideBoundingBox:o,shouldShowCanvasDebugInfo:s,shouldShowGrid:i,shouldShowIntermediates:c,shouldSnapToGrid:f,shouldRestrictStrokesToBox:p,shouldAntialias:h}=F(fge);Qe(["n"],()=>{e(Xp(!f))},{enabled:!0,preventDefault:!0},[f]);const m=v=>e(Xp(v.target.checked));return 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e=te(),{tool:t,brushColor:n,brushSize:r,isStaging:o}=F(mge),{t:s}=we();Qe(["b"],()=>{i()},{enabled:()=>!o,preventDefault:!0},[]),Qe(["e"],()=>{c()},{enabled:()=>!o,preventDefault:!0},[t]),Qe(["c"],()=>{f()},{enabled:()=>!o,preventDefault:!0},[t]),Qe(["shift+f"],()=>{p()},{enabled:()=>!o,preventDefault:!0}),Qe(["delete","backspace"],()=>{h()},{enabled:()=>!o,preventDefault:!0}),Qe(["BracketLeft"],()=>{r-5<=5?e(Gf(Math.max(r-1,1))):e(Gf(Math.max(r-5,1)))},{enabled:()=>!o,preventDefault:!0},[r]),Qe(["BracketRight"],()=>{e(Gf(Math.min(r+5,500)))},{enabled:()=>!o,preventDefault:!0},[r]),Qe(["Shift+BracketLeft"],()=>{e(Q0({...n,a:Ri(n.a-.05,.05,1)}))},{enabled:()=>!o,preventDefault:!0},[n]),Qe(["Shift+BracketRight"],()=>{e(Q0({...n,a:Ri(n.a+.05,.05,1)}))},{enabled:()=>!o,preventDefault:!0},[n]);const i=()=>e(Yl("brush")),c=()=>e(Yl("eraser")),f=()=>e(Yl("colorPicker")),p=()=>e(W9()),h=()=>e(U9());return a.jsxs(pn,{isAttached:!0,children:[a.jsx(Te,{"aria-label":`${s("unifiedCanvas.brush")} 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new file mode 100644
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wI({keepMounted:e,transition:t,duration:n=250,exitDuration:r=n,mounted:o,children:s,timingFunction:i,onExit:c,onEntered:f,onEnter:p,onExited:h}){const{transitionDuration:m,transitionStatus:v,transitionTimingFunction:b}=iX({mounted:o,exitDuration:r,duration:n,timingFunction:i,onExit:c,onEntered:f,onEnter:p,onExited:h});return m===0?o?H.createElement(H.Fragment,null,s({})):e?s({display:"none"}):null:v==="exited"?e?s({display:"none"}):null:H.createElement(H.Fragment,null,s(aX({transition:t,duration:m,state:v,timingFunction:b})))}wI.displayName="@mantine/core/Transition";function SI({children:e,active:t=!0,refProp:n="ref"}){const r=mU(t),o=Ld(r,e==null?void 0:e.ref);return XP(e)?u.cloneElement(e,{[n]:o}):e}SI.displayName="@mantine/core/FocusTrap";var lX=Object.defineProperty,cX=Object.defineProperties,uX=Object.getOwnPropertyDescriptors,L4=Object.getOwnPropertySymbols,dX=Object.prototype.hasOwnProperty,fX=Object.prototype.propertyIsEnumerable,z4=(e,t,n)=>t in 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f.transitionProps.exitDuration=="number"?f.transitionProps.exitDuration:f.transitionProps.duration}),b=>{var y,x;return H.createElement(SI,{active:f.trapFocus},H.createElement(Er,Ml(up(Ml({},v),{tabIndex:-1,ref:f.floating,style:up(Ml(Ml({},r),b),{zIndex:f.zIndex,top:(y=f.y)!=null?y:0,left:(x=f.x)!=null?x:0,width:f.width==="target"?void 0:Me(f.width)}),className:h(p.dropdown,o),onKeyDownCapture:$W(f.onClose,{active:f.closeOnEscape,onTrigger:m,onKeyDown:i}),"data-position":f.placement}),c),s,H.createElement(jI,{ref:f.arrowRef,arrowX:f.arrowX,arrowY:f.arrowY,visible:f.withArrow,position:f.placement,arrowSize:f.arrowSize,arrowRadius:f.arrowRadius,arrowOffset:f.arrowOffset,arrowPosition:f.arrowPosition,className:p.arrow})))}))}EI.displayName="@mantine/core/PopoverDropdown";function jX(e,t){if(e==="rtl"&&(t.includes("right")||t.includes("left"))){const[n,r]=t.split("-"),o=n==="right"?"left":"right";return r===void 0?o:`${o}-${r}`}return t}var W4=Object.getOwnPropertySymbols,PX=Object.prototype.hasOwnProperty,IX=Object.prototype.propertyIsEnumerable,EX=(e,t)=>{var n={};for(var r in e)PX.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&W4)for(var r of W4(e))t.indexOf(r)<0&&IX.call(e,r)&&(n[r]=e[r]);return n};const OX={position:"bottom",offset:8,positionDependencies:[],transitionProps:{transition:"fade",duration:150},middlewares:{flip:!0,shift:!0,inline:!1},arrowSize:7,arrowOffset:5,arrowRadius:0,arrowPosition:"side",closeOnClickOutside:!0,withinPortal:!1,closeOnEscape:!0,trapFocus:!1,withRoles:!0,returnFocus:!1,clickOutsideEvents:["mousedown","touchstart"],zIndex:Hx("popover"),__staticSelector:"Popover",width:"max-content"};function Bc(e){var t,n,r,o,s,i;const c=u.useRef(null),f=Sn("Popover",OX,e),{children:p,position:h,offset:m,onPositionChange:v,positionDependencies:b,opened:y,transitionProps:x,width:w,middlewares:k,withArrow:_,arrowSize:j,arrowOffset:I,arrowRadius:E,arrowPosition:O,unstyled:M,classNames:D,styles:A,closeOnClickOutside:R,withinPortal:T,portalProps:q,closeOnEscape:B,clickOutsideEvents:G,trapFocus:Y,onClose:V,onOpen:L,onChange:X,zIndex:z,radius:K,shadow:ne,id:Q,defaultOpened:ie,__staticSelector:oe,withRoles:W,disabled:U,returnFocus:ee,variant:se,keepMounted:re}=f,fe=EX(f,["children","position","offset","onPositionChange","positionDependencies","opened","transitionProps","width","middlewares","withArrow","arrowSize","arrowOffset","arrowRadius","arrowPosition","unstyled","classNames","styles","closeOnClickOutside","withinPortal","portalProps","closeOnEscape","clickOutsideEvents","trapFocus","onClose","onOpen","onChange","zIndex","radius","shadow","id","defaultOpened","__staticSelector","withRoles","disabled","returnFocus","variant","keepMounted"]),[de,me]=u.useState(null),[ye,he]=u.useState(null),ue=Wx(Q),De=ca(),je=Kq({middlewares:k,width:w,position:jX(De.dir,h),offset:typeof 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0:i.y,opened:je.opened,arrowRef:c,transitionProps:x,width:w,withArrow:_,arrowSize:j,arrowOffset:I,arrowRadius:E,arrowPosition:O,placement:je.floating.placement,trapFocus:Y,withinPortal:T,portalProps:q,zIndex:z,radius:K,shadow:ne,closeOnEscape:B,onClose:je.onClose,onToggle:je.onToggle,getTargetId:()=>`${ue}-target`,getDropdownId:()=>`${ue}-dropdown`,withRoles:W,targetProps:fe,__staticSelector:oe,classNames:D,styles:A,unstyled:M,variant:se,keepMounted:re}},p)}Bc.Target=CI;Bc.Dropdown=EI;Bc.displayName="@mantine/core/Popover";var MX=Object.defineProperty,Dh=Object.getOwnPropertySymbols,OI=Object.prototype.hasOwnProperty,MI=Object.prototype.propertyIsEnumerable,U4=(e,t,n)=>t in e?MX(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n,DX=(e,t)=>{for(var n in t||(t={}))OI.call(t,n)&&U4(e,n,t[n]);if(Dh)for(var n of Dh(t))MI.call(t,n)&&U4(e,n,t[n]);return e},RX=(e,t)=>{var n={};for(var r in e)OI.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&Dh)for(var r of 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Ba({opened:e,transitionProps:t={transition:"fade",duration:0},shadow:n,withinPortal:r,portalProps:o,children:s,__staticSelector:i,onDirectionChange:c,switchDirectionOnFlip:f,zIndex:p,dropdownPosition:h,positionDependencies:m=[],classNames:v,styles:b,unstyled:y,readOnly:x,variant:w}){return H.createElement(Bc,{unstyled:y,classNames:v,styles:b,width:"target",withRoles:!1,opened:e,middlewares:{flip:h==="flip",shift:!1},position:h==="flip"?"bottom":h,positionDependencies:m,zIndex:p,__staticSelector:i,withinPortal:r,portalProps:o,transitionProps:t,shadow:n,disabled:x,onPositionChange:k=>f&&(c==null?void 0:c(k==="top"?"column-reverse":"column")),variant:w},s)}Ba.Target=Bc.Target;Ba.Dropdown=AX;var NX=Object.defineProperty,TX=Object.defineProperties,$X=Object.getOwnPropertyDescriptors,Rh=Object.getOwnPropertySymbols,DI=Object.prototype.hasOwnProperty,RI=Object.prototype.propertyIsEnumerable,G4=(e,t,n)=>t in 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r=Sn(e,t,n),{label:o,description:s,error:i,required:c,classNames:f,styles:p,className:h,unstyled:m,__staticSelector:v,sx:b,errorProps:y,labelProps:x,descriptionProps:w,wrapperProps:k,id:_,size:j,style:I,inputContainer:E,inputWrapperOrder:O,withAsterisk:M,variant:D}=r,A=zX(r,["label","description","error","required","classNames","styles","className","unstyled","__staticSelector","sx","errorProps","labelProps","descriptionProps","wrapperProps","id","size","style","inputContainer","inputWrapperOrder","withAsterisk","variant"]),R=Wx(_),{systemStyles:T,rest:q}=Gm(A),B=dp({label:o,description:s,error:i,required:c,classNames:f,className:h,__staticSelector:v,sx:b,errorProps:y,labelProps:x,descriptionProps:w,unstyled:m,styles:p,id:R,size:j,style:I,inputContainer:E,inputWrapperOrder:O,withAsterisk:M,variant:D},k);return 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a.jsx(Ze,{label:p("parameters.height"),value:n,min:r,step:i,max:o,onChange:m,handleReset:v,withInput:!0,withReset:!0,withSliderMarks:!0,sliderNumberInputProps:{max:s},...e})},qie=u.memo(Kie),Xie=ae([be],({generation:e,hotkeys:t,config:n})=>{const{min:r,sliderMax:o,inputMax:s,fineStep:i,coarseStep:c}=n.sd.width,{model:f,width:p,aspectRatio:h}=e,m=t.shift?i:c;return{model:f,width:p,min:r,sliderMax:o,inputMax:s,step:m,aspectRatio:h}},Ce),Yie=e=>{const{model:t,width:n,min:r,sliderMax:o,inputMax:s,step:i,aspectRatio:c}=F(Xie),f=J(),{t:p}=we(),h=["sdxl","sdxl-refiner"].includes(t==null?void 0:t.base_model)?1024:512,m=u.useCallback(b=>{if(f(Ai(b)),c){const y=No(b/c,8);f(Ni(y))}},[f,c]),v=u.useCallback(()=>{if(f(Ai(h)),c){const b=No(h/c,8);f(Ni(b))}},[f,h,c]);return a.jsx(Ze,{label:p("parameters.width"),value:n,min:r,step:i,max:o,onChange:m,handleReset:v,withInput:!0,withReset:!0,withSliderMarks:!0,sliderNumberInputProps:{max:s},...e})},Qie=u.memo(Yie),Zie=ae([Vr,wn],(e,t)=>{const{shouldFitToWidthHeight:n,shouldLockAspectRatio:r,width:o,height:s}=e;return{activeTabName:t,shouldFitToWidthHeight:n,shouldLockAspectRatio:r,width:o,height:s}});function Oc(){const{t:e}=we(),t=J(),{activeTabName:n,shouldFitToWidthHeight:r,shouldLockAspectRatio:o,width:s,height:i}=F(Zie),c=u.useCallback(()=>{o?(t(Yu(!1)),CM.includes(s/i)?t(Eo(s/i)):t(Eo(null))):(t(Yu(!0)),t(Eo(s/i)))},[o,s,i,t]),f=u.useCallback(()=>{t(WR()),t(Eo(null)),o&&t(Eo(i/s))},[t,o,s,i]);return 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+ * @license React
+ * react-reconciler-constants.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */al.ConcurrentRoot=1;al.ContinuousEventPriority=4;al.DefaultEventPriority=16;al.DiscreteEventPriority=1;al.IdleEventPriority=536870912;al.LegacyRoot=0;s8.exports=al;var a8=s8.exports;const aj={children:!0,ref:!0,key:!0,style:!0,forwardedRef:!0,unstable_applyCache:!0,unstable_applyDrawHitFromCache:!0};let ij=!1,lj=!1;const Gy=".react-konva-event",ohe=`ReactKonva: You have a Konva node with draggable = true and position defined but no onDragMove or onDragEnd events are handled.
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+For more info see: https://github.com/konvajs/react-konva/issues/256
+`,she=`ReactKonva: You are using "zIndex" attribute for a Konva node.
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mge(){const e=J(),{canRedo:t,activeTabName:n}=F(hge),{t:r}=we(),o=()=>{e($9())};return Qe(["meta+shift+z","ctrl+shift+z","control+y","meta+y"],()=>{o()},{enabled:()=>t,preventDefault:!0},[n,t]),a.jsx(Te,{"aria-label":`${r("unifiedCanvas.redo")} (Ctrl+Shift+Z)`,tooltip:`${r("unifiedCanvas.redo")} (Ctrl+Shift+Z)`,icon:a.jsx(DZ,{}),onClick:o,isDisabled:!t})}const gge=()=>{const e=F(bo),t=J(),{t:n}=we();return a.jsxs(By,{title:n("unifiedCanvas.clearCanvasHistory"),acceptCallback:()=>t(L9()),acceptButtonText:n("unifiedCanvas.clearHistory"),triggerComponent:a.jsx(it,{size:"sm",leftIcon:a.jsx(Hr,{}),isDisabled:e,children:n("unifiedCanvas.clearCanvasHistory")}),children:[a.jsx("p",{children:n("unifiedCanvas.clearCanvasHistoryMessage")}),a.jsx("br",{}),a.jsx("p",{children:n("unifiedCanvas.clearCanvasHistoryConfirm")})]})},vge=u.memo(gge),bge=ae([$t],e=>{const{shouldAutoSave:t,shouldCropToBoundingBoxOnSave:n,shouldDarkenOutsideBoundingBox:r,shouldShowCanvasDebugInfo:o,shouldShowGrid:s,shouldShowIntermediates:i,shouldSnapToGrid:c,shouldRestrictStrokesToBox:f,shouldAntialias:p}=e;return{shouldAutoSave:t,shouldCropToBoundingBoxOnSave:n,shouldDarkenOutsideBoundingBox:r,shouldShowCanvasDebugInfo:o,shouldShowGrid:s,shouldShowIntermediates:i,shouldSnapToGrid:c,shouldRestrictStrokesToBox:f,shouldAntialias:p}},{memoizeOptions:{resultEqualityCheck:kt}}),xge=()=>{const e=J(),{t}=we(),{shouldAutoSave:n,shouldCropToBoundingBoxOnSave:r,shouldDarkenOutsideBoundingBox:o,shouldShowCanvasDebugInfo:s,shouldShowGrid:i,shouldShowIntermediates:c,shouldSnapToGrid:f,shouldRestrictStrokesToBox:p,shouldAntialias:h}=F(bge);Qe(["n"],()=>{e(Xp(!f))},{enabled:!0,preventDefault:!0},[f]);const m=v=>e(Xp(v.target.checked));return a.jsx(Wd,{isLazy:!1,triggerComponent:a.jsx(Te,{tooltip:t("unifiedCanvas.canvasSettings"),"aria-label":t("unifiedCanvas.canvasSettings"),icon:a.jsx(TE,{})}),children:a.jsxs($,{direction:"column",gap:2,children:[a.jsx(ur,{label:t("unifiedCanvas.showIntermediates"),isChecked:c,onChange:v=>e(z9(v.target.checked))}),a.jsx(ur,{label:t("unifiedCanvas.showGrid"),isChecked:i,onChange:v=>e(F9(v.target.checked))}),a.jsx(ur,{label:t("unifiedCanvas.snapToGrid"),isChecked:f,onChange:m}),a.jsx(ur,{label:t("unifiedCanvas.darkenOutsideSelection"),isChecked:o,onChange:v=>e(B9(v.target.checked))}),a.jsx(ur,{label:t("unifiedCanvas.autoSaveToGallery"),isChecked:n,onChange:v=>e(H9(v.target.checked))}),a.jsx(ur,{label:t("unifiedCanvas.saveBoxRegionOnly"),isChecked:r,onChange:v=>e(V9(v.target.checked))}),a.jsx(ur,{label:t("unifiedCanvas.limitStrokesToBox"),isChecked:p,onChange:v=>e(W9(v.target.checked))}),a.jsx(ur,{label:t("unifiedCanvas.showCanvasDebugInfo"),isChecked:s,onChange:v=>e(U9(v.target.checked))}),a.jsx(ur,{label:t("unifiedCanvas.antialiasing"),isChecked:h,onChange:v=>e(G9(v.target.checked))}),a.jsx(vge,{})]})})},yge=u.memo(xge),Cge=ae([$t,bo,go],(e,t,n)=>{const{isProcessing:r}=n,{tool:o,brushColor:s,brushSize:i}=e;return{tool:o,isStaging:t,isProcessing:r,brushColor:s,brushSize:i}},{memoizeOptions:{resultEqualityCheck:kt}}),wge=()=>{const e=J(),{tool:t,brushColor:n,brushSize:r,isStaging:o}=F(Cge),{t:s}=we();Qe(["b"],()=>{i()},{enabled:()=>!o,preventDefault:!0},[]),Qe(["e"],()=>{c()},{enabled:()=>!o,preventDefault:!0},[t]),Qe(["c"],()=>{f()},{enabled:()=>!o,preventDefault:!0},[t]),Qe(["shift+f"],()=>{p()},{enabled:()=>!o,preventDefault:!0}),Qe(["delete","backspace"],()=>{h()},{enabled:()=>!o,preventDefault:!0}),Qe(["BracketLeft"],()=>{r-5<=5?e(Gf(Math.max(r-1,1))):e(Gf(Math.max(r-5,1)))},{enabled:()=>!o,preventDefault:!0},[r]),Qe(["BracketRight"],()=>{e(Gf(Math.min(r+5,500)))},{enabled:()=>!o,preventDefault:!0},[r]),Qe(["Shift+BracketLeft"],()=>{e(Q0({...n,a:Ri(n.a-.05,.05,1)}))},{enabled:()=>!o,preventDefault:!0},[n]),Qe(["Shift+BracketRight"],()=>{e(Q0({...n,a:Ri(n.a+.05,.05,1)}))},{enabled:()=>!o,preventDefault:!0},[n]);const i=()=>e(Ql("brush")),c=()=>e(Ql("eraser")),f=()=>e(Ql("colorPicker")),p=()=>e(K9()),h=()=>e(q9());return a.jsxs(hn,{isAttached:!0,children:[a.jsx(Te,{"aria-label":`${s("unifiedCanvas.brush")} 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e=J(),{isProcessing:t,isStaging:n,isMaskEnabled:r,layer:o,tool:s}=F(jge),i=u1(),{t:c}=we(),{isClipboardAPIAvailable:f}=NO(),{getUploadButtonProps:p,getUploadInputProps:h}=ky({postUploadAction:{type:"SET_CANVAS_INITIAL_IMAGE"}});Qe(["v"],()=>{m()},{enabled:()=>!n,preventDefault:!0},[]),Qe(["r"],()=>{b()},{enabled:()=>!0,preventDefault:!0},[i]),Qe(["shift+m"],()=>{x()},{enabled:()=>!n,preventDefault:!0},[i,t]),Qe(["shift+s"],()=>{w()},{enabled:()=>!n,preventDefault:!0},[i,t]),Qe(["meta+c","ctrl+c"],()=>{k()},{enabled:()=>!n&&f,preventDefault:!0},[i,t,f]),Qe(["shift+d"],()=>{_()},{enabled:()=>!n,preventDefault:!0},[i,t]);const m=()=>e(Ql("move")),v=lge(()=>b(!1),()=>b(!0)),b=(I=!1)=>{const E=u1();if(!E)return;const O=E.getClientRect({skipTransform:!0});e(Q9({contentRect:O,shouldScaleTo1:I}))},y=()=>{e(Dj())},x=()=>{e(Z9())},w=()=>{e(J9())},k=()=>{f&&e(eN())},_=()=>{e(tN())},j=I=>{const E=I;e(h5(E)),E==="mask"&&!r&&e(Xb(!0))};return a.jsxs($,{sx:{alignItems:"center",gap:2,flexWrap:"wrap"},children:[a.jsx(Ie,{w:24,children:a.jsx($n,{tooltip:`${c("unifiedCanvas.layer")} (Q)`,value:o,data:Y9,onChange:j,disabled:n})}),a.jsx(pge,{}),a.jsx(Sge,{}),a.jsxs(hn,{isAttached:!0,children:[a.jsx(Te,{"aria-label":`${c("unifiedCanvas.move")} (V)`,tooltip:`${c("unifiedCanvas.move")} (V)`,icon:a.jsx(iZ,{}),isChecked:s==="move"||n,onClick:m}),a.jsx(Te,{"aria-label":`${c("unifiedCanvas.resetView")} (R)`,tooltip:`${c("unifiedCanvas.resetView")} (R)`,icon:a.jsx(dZ,{}),onClick:v})]}),a.jsxs(hn,{isAttached:!0,children:[a.jsx(Te,{"aria-label":`${c("unifiedCanvas.mergeVisible")} (Shift+M)`,tooltip:`${c("unifiedCanvas.mergeVisible")} (Shift+M)`,icon:a.jsx(PZ,{}),onClick:x,isDisabled:n}),a.jsx(Te,{"aria-label":`${c("unifiedCanvas.saveToGallery")} (Shift+S)`,tooltip:`${c("unifiedCanvas.saveToGallery")} (Shift+S)`,icon:a.jsx(eg,{}),onClick:w,isDisabled:n}),f&&a.jsx(Te,{"aria-label":`${c("unifiedCanvas.copyToClipboard")} 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a.jsxs($,{layerStyle:"first",ref:t,tabIndex:-1,sx:{flexDirection:"column",alignItems:"center",gap:4,p:2,borderRadius:"base",w:"full",h:"full"},children:[a.jsx(Ige,{}),a.jsx(ige,{}),mO(mj,n)&&a.jsx(gO,{isOver:e,label:"Set Canvas Initial 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e=F(nN),t=F(wn),n=F(Age),{t:r}=we(),o=J(),s=u.useCallback(R=>{R.target instanceof HTMLElement&&R.target.blur()},[]),i=u.useMemo(()=>n.map(R=>a.jsx(Dt,{hasArrow:!0,label:String(r(R.translationKey)),placement:"end",children:a.jsxs(jr,{onClick:s,children:[a.jsx(M5,{children:String(r(R.translationKey))}),R.icon]})},R.id)),[n,r,s]),c=u.useMemo(()=>n.map(R=>a.jsx(uo,{children:R.content},R.id)),[n]),f=u.useCallback(R=>{const T=rN[R];T&&o(Ra(T))},[o]),{minSize:p,isCollapsed:h,setIsCollapsed:m,ref:v,reset:b,expand:y,collapse:x,toggle:w}=w_(Nge,"pixels"),{ref:k,minSize:_,isCollapsed:j,setIsCollapsed:I,reset:E,expand:O,collapse:M,toggle:D}=w_($ge,"pixels");Qe("f",()=>{j||h?(O(),y()):(x(),M())},[o,j,h]),Qe(["t","o"],()=>{w()},[o]),Qe("g",()=>{D()},[o]);const A=Oy();return a.jsxs(Qi,{variant:"appTabs",defaultIndex:e,index:e,onChange:f,sx:{flexGrow:1,gap:4},isLazy:!0,children:[a.jsxs(Zi,{sx:{pt:2,gap:4,flexDir:"column"},children:[i,a.jsx(Za,{}),a.jsx(mJ,{})]}),a.jsxs(yg,{id:"app",autoSaveId:"app",direction:"horizontal",style:{height:"100%",width:"100%"},storage:A,units:"pixels",children:[!zge.includes(t)&&a.jsxs(a.Fragment,{children:[a.jsx(Wa,{order:0,id:"side",ref:v,defaultSize:p,minSize:p,onCollapse:m,collapsible:!0,children:t==="nodes"?a.jsx(Joe,{}):a.jsx(Ece,{})}),a.jsx(om,{onDoubleClick:b,collapsedDirection:h?"left":void 0}),a.jsx(rse,{isSidePanelCollapsed:h,sidePanelRef:v})]}),a.jsx(Wa,{id:"main",order:1,minSize:Tge,children:a.jsx(zc,{style:{height:"100%",width:"100%"},children:c})}),!Lge.includes(t)&&a.jsxs(a.Fragment,{children:[a.jsx(om,{onDoubleClick:E,collapsedDirection:j?"right":void 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0:h.imageName),c&&(e(Fj(c)),e(Ra("unifiedCanvas")),i({title:sN("toast.sentToUnifiedCanvas"),status:"info",duration:2500,isClosable:!0}))),h.action==="sendToImg2Img"&&(n(h==null?void 0:h.imageName),c&&e(pm(c))),h.action==="useAllParameters"&&(o(h==null?void 0:h.imageName),f&&s(f.metadata)))},[e,c,f,s,i])}};function Gge(e={}){let t;if(e.repoUrl)t=e.repoUrl;else if(e.user&&e.repo)t=`https://github.com/${e.user}/${e.repo}`;else throw new Error("You need to specify either the `repoUrl` option or both the `user` and `repo` options");const n=new URL(`${t}/issues/new`),r=["body","title","labels","template","milestone","assignee","projects"];for(const o of r){let s=e[o];if(s!==void 0){if(o==="labels"||o==="projects"){if(!Array.isArray(s))throw new TypeError(`The \`${o}\` option should be an array`);s=s.join(",")}n.searchParams.set(o,s)}}return n.toString()}const Kge=({error:e,resetErrorBoundary:t})=>{const n=S5(),r=u.useCallback(()=>{const s=JSON.stringify(aN(e),null,2);navigator.clipboard.writeText(`\`\`\`
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+\`\`\``),n({title:"Error Copied"})},[e,n]),o=u.useMemo(()=>Gge({user:"invoke-ai",repo:"InvokeAI",template:"BUG_REPORT.yml",title:`[bug]: ${e.name}: ${e.message}`}),[e.message,e.name]);return a.jsx($,{layerStyle:"body",sx:{w:"100vw",h:"100vh",alignItems:"center",justifyContent:"center",p:4},children:a.jsxs($,{layerStyle:"first",sx:{flexDir:"column",borderRadius:"base",justifyContent:"center",gap:8,p:16},children:[a.jsx(ro,{children:"Something went wrong"}),a.jsx($,{layerStyle:"second",sx:{px:8,py:4,borderRadius:"base",gap:4,justifyContent:"space-between",alignItems:"center"},children:a.jsxs(xe,{sx:{fontWeight:600,color:"error.500",_dark:{color:"error.400"}},children:[e.name,": ",e.message]})}),a.jsxs($,{sx:{gap:4},children:[a.jsx(it,{leftIcon:a.jsx(Lpe,{}),onClick:t,children:"Reset UI"}),a.jsx(it,{leftIcon:a.jsx(Hc,{}),onClick:r,children:"Copy Error"}),a.jsx(Im,{href:o,isExternal:!0,children:a.jsx(it,{leftIcon:a.jsx(jE,{}),children:"Create Issue"})})]})]})})},qge=u.memo(Kge),Xge=ae([be],({hotkeys:e})=>{const{shift:t,ctrl:n,meta:r}=e;return{shift:t,ctrl:n,meta:r}},{memoizeOptions:{resultEqualityCheck:kt}}),Yge=()=>{const e=J(),{shift:t,ctrl:n,meta:r}=F(Xge);return Qe("*",()=>{Tp("shift")?!t&&e(Pr(!0)):t&&e(Pr(!1)),Tp("ctrl")?!n&&e(gw(!0)):n&&e(gw(!1)),Tp("meta")?!r&&e(vw(!0)):r&&e(vw(!1))},{keyup:!0,keydown:!0},[t,n,r]),Qe("1",()=>{e(Ra("txt2img"))}),Qe("2",()=>{e(Ra("img2img"))}),Qe("3",()=>{e(Ra("unifiedCanvas"))}),Qe("4",()=>{e(Ra("nodes"))}),Qe("5",()=>{e(Ra("modelManager"))}),null},Qge=u.memo(Yge),Zge={},Jge=({config:e=Zge,headerComponent:t,selectedImage:n})=>{const r=F(OP),o=MP("system"),s=J(),{handlePreselectedImage:i}=Uge(),c=u.useCallback(()=>(localStorage.clear(),location.reload(),!1),[]);return u.useEffect(()=>{xn.changeLanguage(r)},[r]),u.useEffect(()=>{qj(e)&&(o.info({config:e},"Received config"),s(iN(e)))},[s,e,o]),u.useEffect(()=>{s(lN())},[s]),u.useEffect(()=>{i(n)},[i,n]),a.jsxs(Vge,{onReset:c,FallbackComponent:qge,children:[a.jsx(Ua,{w:"100vw",h:"100vh",position:"relative",overflow:"hidden",children:a.jsx(RW,{children:a.jsxs(Ua,{sx:{gap:4,p:4,gridAutoRows:"min-content auto",w:"full",h:"full"},children:[t||a.jsx(fJ,{}),a.jsx($,{sx:{gap:4,w:"full",h:"full"},children:a.jsx(Bge,{})})]})})}),a.jsx(QQ,{}),a.jsx(GQ,{}),a.jsx(wV,{}),a.jsx(Qge,{})]})},l0e=u.memo(Jge);export{l0e as default};
diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a10df140.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-8a2cbdd7.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a10df140.js
rename to invokeai/frontend/web/dist/assets/ThemeLocaleProvider-8a2cbdd7.js
index 05b7ce3bb3..06fa7e6c42 100644
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a10df140.js
+++ b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-8a2cbdd7.js
@@ -1,4 +1,4 @@
-import{v as m,h5 as Je,u as y,Y as Xa,h6 as Ja,a7 as ua,ab as d,h7 as b,h8 as o,h9 as Qa,ha as h,hb as fa,hc as Za,hd as eo,aE as ro,he as ao,a4 as oo,hf as to}from"./index-221b61a5.js";import{s as ha,n as t,t as io,o as ma,p as no,q as ga,v as ya,w as pa,x as lo,y as Sa,z as xa,A as xr,B as so,D as co,E as bo,F as $a,G as ka,H as _a,J as vo,K as wa,L as uo,M as fo,N as ho,O as mo,Q as za,R as go,S as yo,T as po,U as So,V as xo,W as $o,e as ko,X as _o}from"./menu-0be27786.js";var Ca=String.raw,Aa=Ca`
+import{v as m,h8 as Je,u as y,Y as Xa,h9 as Ja,a7 as ua,ab as d,ha as b,hb as o,hc as Qa,hd as h,he as fa,hf as Za,hg as eo,aE as ro,hh as ao,a4 as oo,hi as to}from"./index-a548858c.js";import{s as ha,n as t,t as io,o as ma,p as no,q as ga,v as ya,w as pa,x as lo,y as Sa,z as xa,A as xr,B as so,D as co,E as bo,F as $a,G as ka,H as _a,J as vo,K as wa,L as uo,M as fo,N as ho,O as mo,Q as za,R as go,S as yo,T as po,U as So,V as xo,W as $o,e as ko,X as _o}from"./menu-ae65a4ab.js";var Ca=String.raw,Aa=Ca`
   :root,
   :host {
     --chakra-vh: 100vh;
diff --git a/invokeai/frontend/web/dist/assets/index-221b61a5.js b/invokeai/frontend/web/dist/assets/index-221b61a5.js
deleted file mode 100644
index bf25da5f63..0000000000
--- a/invokeai/frontend/web/dist/assets/index-221b61a5.js
+++ /dev/null
@@ -1,128 +0,0 @@
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s.componentDidUpdate!="function"||a===e.memoizedProps&&f===e.memoizedState||(t.flags|=4),typeof s.getSnapshotBeforeUpdate!="function"||a===e.memoizedProps&&f===e.memoizedState||(t.flags|=1024),r=!1)}return Mx(e,t,n,r,o,i)}function Mx(e,t,n,r,i,o){mM(e,t);var s=(t.flags&128)!==0;if(!r&&!s)return i&&fA(t,n,!1),rl(e,t,o);r=t.stateNode,xH.current=t;var a=s&&typeof n.getDerivedStateFromError!="function"?null:r.render();return t.flags|=1,e!==null&&s?(t.child=bf(t,e.child,null,o),t.child=bf(t,null,a,o)):Gi(e,t,a,o),t.memoizedState=r.state,i&&fA(t,n,!0),t.child}function yM(e){var t=e.stateNode;t.pendingContext?dA(e,t.pendingContext,t.pendingContext!==t.context):t.context&&dA(e,t.context,!1),b5(e,t.containerInfo)}function kA(e,t,n,r,i){return _f(),p5(i),t.flags|=256,Gi(e,t,n,r),t.child}var Nx={dehydrated:null,treeContext:null,retryLane:0};function Dx(e){return{baseLanes:e,cachePool:null,transitions:null}}function vM(e,t,n){var r=t.pendingProps,i=Jn.current,o=!1,s=(t.flags&128)!==0,a;if((a=s)||(a=e!==null&&e.memoizedState===null?!1:(i&2)!==0),a?(o=!0,t.flags&=-129):(e===null||e.memoizedState!==null)&&(i|=1),Cn(Jn,i&1),e===null)return Ax(t),e=t.memoizedState,e!==null&&(e=e.dehydrated,e!==null)?(t.mode&1?e.data==="$!"?t.lanes=8:t.lanes=1073741824:t.lanes=1,null):(s=r.children,e=r.fallback,o?(r=t.mode,o=t.child,s={mode:"hidden",children:s},!(r&1)&&o!==null?(o.childLanes=0,o.pendingProps=s):o=s_(s,r,0,null),e=dc(e,r,n,null),o.return=t,e.return=t,o.sibling=e,t.child=o,t.child.memoizedState=Dx(n),t.memoizedState=Nx,e):k5(t,s));if(i=e.memoizedState,i!==null&&(a=i.dehydrated,a!==null))return CH(e,t,s,r,a,i,n);if(o){o=r.fallback,s=t.mode,i=e.child,a=i.sibling;var l={mode:"hidden",children:r.children};return!(s&1)&&t.child!==i?(r=t.child,r.childLanes=0,r.pendingProps=l,t.deletions=null):(r=Yl(i,l),r.subtreeFlags=i.subtreeFlags&14680064),a!==null?o=Yl(a,o):(o=dc(o,s,n,null),o.flags|=2),o.return=t,r.return=t,r.sibling=o,t.child=r,r=o,o=t.child,s=e.child.memoizedState,s=s===null?Dx(n):{baseLanes:s.baseLanes|n,cachePool:null,transitions:s.transitions},o.memoizedState=s,o.childLanes=e.childLanes&~n,t.memoizedState=Nx,r}return o=e.child,e=o.sibling,r=Yl(o,{mode:"visible",children:r.children}),!(t.mode&1)&&(r.lanes=n),r.return=t,r.sibling=null,e!==null&&(n=t.deletions,n===null?(t.deletions=[e],t.flags|=16):n.push(e)),t.child=r,t.memoizedState=null,r}function k5(e,t){return t=s_({mode:"visible",children:t},e.mode,0,null),t.return=e,e.child=t}function dy(e,t,n,r){return r!==null&&p5(r),bf(t,e.child,null,n),e=k5(t,t.pendingProps.children),e.flags|=2,t.memoizedState=null,e}function CH(e,t,n,r,i,o,s){if(n)return t.flags&256?(t.flags&=-257,r=v2(Error(oe(422))),dy(e,t,s,r)):t.memoizedState!==null?(t.child=e.child,t.flags|=128,null):(o=r.fallback,i=t.mode,r=s_({mode:"visible",children:r.children},i,0,null),o=dc(o,i,s,null),o.flags|=2,r.return=t,o.return=t,r.sibling=o,t.child=r,t.mode&1&&bf(t,e.child,null,s),t.child.memoizedState=Dx(s),t.memoizedState=Nx,o);if(!(t.mode&1))return dy(e,t,s,null);if(i.data==="$!"){if(r=i.nextSibling&&i.nextSibling.dataset,r)var a=r.dgst;return r=a,o=Error(oe(419)),r=v2(o,r,void 0),dy(e,t,s,r)}if(a=(s&e.childLanes)!==0,so||a){if(r=ti,r!==null){switch(s&-s){case 4:i=2;break;case 16:i=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:i=32;break;case 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n=t.child;n!==null;){if(n.tag===5||n.tag===6)e.appendChild(n.stateNode);else if(n.tag!==4&&n.child!==null){n.child.return=n,n=n.child;continue}if(n===t)break;for(;n.sibling===null;){if(n.return===null||n.return===t)return;n=n.return}n.sibling.return=n.return,n=n.sibling}};Lx=function(){};SM=function(e,t,n,r){var i=e.memoizedProps;if(i!==r){e=t.stateNode,ec(sa.current);var o=null;switch(n){case"input":i=ix(e,i),r=ix(e,r),o=[];break;case"select":i=rr({},i,{value:void 0}),r=rr({},r,{value:void 0}),o=[];break;case"textarea":i=ax(e,i),r=ax(e,r),o=[];break;default:typeof i.onClick!="function"&&typeof r.onClick=="function"&&(e.onclick=sv)}ux(n,r);var s;n=null;for(u in i)if(!r.hasOwnProperty(u)&&i.hasOwnProperty(u)&&i[u]!=null)if(u==="style"){var a=i[u];for(s in a)a.hasOwnProperty(s)&&(n||(n={}),n[s]="")}else 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o=t.memoizedProps;switch(r[Qs]=t,r[Up]=o,e=(t.mode&1)!==0,n){case"dialog":On("cancel",r),On("close",r);break;case"iframe":case"object":case"embed":On("load",r);break;case"video":case"audio":for(i=0;i<Yh.length;i++)On(Yh[i],r);break;case"source":On("error",r);break;case"img":case"image":case"link":On("error",r),On("load",r);break;case"details":On("toggle",r);break;case"input":F4(r,o),On("invalid",r);break;case"select":r._wrapperState={wasMultiple:!!o.multiple},On("invalid",r);break;case"textarea":z4(r,o),On("invalid",r)}ux(n,o),i=null;for(var s in o)if(o.hasOwnProperty(s)){var a=o[s];s==="children"?typeof a=="string"?r.textContent!==a&&(o.suppressHydrationWarning!==!0&&ly(r.textContent,a,e),i=["children",a]):typeof 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r.is=="string"?e=s.createElement(n,{is:r.is}):(e=s.createElement(n),n==="select"&&(s=e,r.multiple?s.multiple=!0:r.size&&(s.size=r.size))):e=s.createElementNS(e,n),e[Qs]=t,e[Up]=r,bM(e,t,!1,!1),t.stateNode=e;e:{switch(s=cx(n,r),n){case"dialog":On("cancel",e),On("close",e),i=r;break;case"iframe":case"object":case"embed":On("load",e),i=r;break;case"video":case"audio":for(i=0;i<Yh.length;i++)On(Yh[i],e);i=r;break;case"source":On("error",e),i=r;break;case"img":case"image":case"link":On("error",e),On("load",e),i=r;break;case"details":On("toggle",e),i=r;break;case"input":F4(e,r),i=ix(e,r),On("invalid",e);break;case"option":i=r;break;case"select":e._wrapperState={wasMultiple:!!r.multiple},i=rr({},r,{value:void 0}),On("invalid",e);break;case"textarea":z4(e,r),i=ax(e,r),On("invalid",e);break;default:i=r}ux(n,i),a=i;for(o in a)if(a.hasOwnProperty(o)){var l=a[o];o==="style"?ZI(e,l):o==="dangerouslySetInnerHTML"?(l=l?l.__html:void 0,l!=null&&QI(e,l)):o==="children"?typeof l=="string"?(n!=="textarea"||l!=="")&&Ip(e,l):typeof l=="number"&&Ip(e,""+l):o!=="suppressContentEditableWarning"&&o!=="suppressHydrationWarning"&&o!=="autoFocus"&&(Op.hasOwnProperty(o)?l!=null&&o==="onScroll"&&On("scroll",e):l!=null&&Z3(e,o,l,s))}switch(n){case"input":ey(e),B4(e,r,!1);break;case"textarea":ey(e),U4(e);break;case"option":r.value!=null&&e.setAttribute("value",""+su(r.value));break;case"select":e.multiple=!!r.multiple,o=r.value,o!=null?qd(e,!!r.multiple,o,!1):r.defaultValue!=null&&qd(e,!!r.multiple,r.defaultValue,!0);break;default:typeof i.onClick=="function"&&(e.onclick=sv)}switch(n){case"button":case"input":case"select":case"textarea":r=!!r.autoFocus;break e;case"img":r=!0;break e;default:r=!1}}r&&(t.flags|=4)}t.ref!==null&&(t.flags|=512,t.flags|=2097152)}return Ai(t),null;case 6:if(e&&t.stateNode!=null)wM(e,t,e.memoizedProps,r);else{if(typeof r!="string"&&t.stateNode===null)throw 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t.flags&128?(t.lanes=n,t):(r=r!==null,r!==(e!==null&&e.memoizedState!==null)&&r&&(t.child.flags|=8192,t.mode&1&&(e===null||Jn.current&1?Fr===0&&(Fr=3):N5())),t.updateQueue!==null&&(t.flags|=4),Ai(t),null);case 4:return Sf(),Lx(e,t),e===null&&Bp(t.stateNode.containerInfo),Ai(t),null;case 10:return y5(t.type._context),Ai(t),null;case 17:return fo(t.type)&&av(),Ai(t),null;case 19:if(zn(Jn),o=t.memoizedState,o===null)return 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o=n.lanes|n.childLanes;if(gG(e,o),e===ti&&(Ar=ti=null,_i=0),!(n.subtreeFlags&2064)&&!(n.flags&2064)||hy||(hy=!0,DM(tv,function(){return Yd(),null})),o=(n.flags&15990)!==0,n.subtreeFlags&15990||o){o=Zo.transition,Zo.transition=null;var s=sn;sn=1;var a=$t;$t|=4,P5.current=null,PH(e,n),TM(n,e),tH(Sx),rv=!!bx,Sx=bx=null,e.current=n,RH(n),sG(),$t=a,sn=s,Zo.transition=o}else e.current=n;if(hy&&(hy=!1,Fl=e,_v=i),o=e.pendingLanes,o===0&&(Xl=null),uG(n.stateNode),ho(e,mr()),t!==null)for(r=e.onRecoverableError,n=0;n<t.length;n++)i=t[n],r(i.value,{componentStack:i.stack,digest:i.digest});if(vv)throw vv=!1,e=Ux,Ux=null,e;return _v&1&&e.tag!==0&&Yd(),o=e.pendingLanes,o&1?e===jx?pp++:(pp=0,jx=e):pp=0,xu(),null}function Yd(){if(Fl!==null){var e=d9(_v),t=Zo.transition,n=sn;try{if(Zo.transition=null,sn=16>e?16:e,Fl===null)var r=!1;else{if(e=Fl,Fl=null,_v=0,$t&6)throw Error(oe(331));var i=$t;for($t|=4,Ie=e.current;Ie!==null;){var o=Ie,s=o.child;if(Ie.flags&16){var a=o.deletions;if(a!==null){for(var 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oa.onPostCommitFiberRoot=="function")try{oa.onPostCommitFiberRoot(Q1,e)}catch{}r=!0}return r}finally{sn=n,Zo.transition=t}}return!1}function $A(e,t,n){t=wf(n,t),t=fM(e,t,1),e=Kl(e,t,1),t=qi(),e!==null&&(rm(e,1,t),ho(e,t))}function ar(e,t,n){if(e.tag===3)$A(e,e,n);else for(;t!==null;){if(t.tag===3){$A(t,e,n);break}else if(t.tag===1){var r=t.stateNode;if(typeof t.type.getDerivedStateFromError=="function"||typeof r.componentDidCatch=="function"&&(Xl===null||!Xl.has(r))){e=wf(n,e),e=hM(t,e,1),t=Kl(t,e,1),e=qi(),t!==null&&(rm(t,1,e),ho(t,e));break}}t=t.return}}function LH(e,t,n){var r=e.pingCache;r!==null&&r.delete(t),t=qi(),e.pingedLanes|=e.suspendedLanes&n,ti===e&&(_i&n)===n&&(Fr===4||Fr===3&&(_i&130023424)===_i&&500>mr()-O5?cc(e,0):R5|=n),ho(e,t)}function MM(e,t){t===0&&(e.mode&1?(t=ry,ry<<=1,!(ry&130023424)&&(ry=4194304)):t=1);var n=qi();e=nl(e,t),e!==null&&(rm(e,t,n),ho(e,n))}function $H(e){var t=e.memoizedState,n=0;t!==null&&(n=t.retryLane),MM(e,n)}function FH(e,t){var n=0;switch(e.tag){case 13:var r=e.stateNode,i=e.memoizedState;i!==null&&(n=i.retryLane);break;case 19:r=e.stateNode;break;default:throw Error(oe(314))}r!==null&&r.delete(t),MM(e,n)}var NM;NM=function(e,t,n){if(e!==null)if(e.memoizedProps!==t.pendingProps||co.current)so=!0;else{if(!(e.lanes&n)&&!(t.flags&128))return so=!1,EH(e,t,n);so=!!(e.flags&131072)}else so=!1,qn&&t.flags&1048576&&$9(t,cv,t.index);switch(t.lanes=0,t.tag){case 2:var r=t.type;S0(e,t),e=t.pendingProps;var i=vf(t,$i.current);Qd(t,n),i=C5(null,t,r,e,i,n);var o=E5();return t.flags|=1,typeof i=="object"&&i!==null&&typeof i.render=="function"&&i.$$typeof===void 0?(t.tag=1,t.memoizedState=null,t.updateQueue=null,fo(r)?(o=!0,lv(t)):o=!1,t.memoizedState=i.state!==null&&i.state!==void 0?i.state:null,_5(t),i.updater=n_,t.stateNode=i,i._reactInternals=t,Rx(t,r,e,n),t=Mx(null,t,r,!0,o,n)):(t.tag=0,qn&&o&&f5(t),Gi(null,t,i,n),t=t.child),t;case 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pa{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const Uk=(e,t)=>{if(og(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Ps(e.common.issues);return this._error=n,this._error}}};function gt(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class bt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return Nl(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:Nl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Fi,ctx:{common:t.parent.common,data:t.data,parsedType:Nl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(Nv(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Nl(t)},o=this._parseSync({data:t,path:i.path,parent:i});return Uk(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Nl(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(Nv(i)?i:Promise.resolve(i));return Uk(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:ce.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new Ns({schema:this,typeName:nt.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Ka.create(this,this._def)}nullable(){return Ec.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Rs.create(this,this._def)}promise(){return Rf.create(this,this._def)}or(t){return ug.create([this,t],this._def)}and(t){return cg.create(this,t,this._def)}transform(t){return new Ns({...gt(this._def),schema:this,typeName:nt.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new gg({...gt(this._def),innerType:this,defaultValue:n,typeName:nt.ZodDefault})}brand(){return new Z7({typeName:nt.ZodBranded,type:this,...gt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new Fv({...gt(this._def),innerType:this,catchValue:n,typeName:nt.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return bm.create(this,t)}readonly(){return zv.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const tte=/^c[^\s-]{8,}$/i,nte=/^[a-z][a-z0-9]*$/,rte=/[0-9A-HJKMNP-TV-Z]{26}/,ite=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,ote=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,ste=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,ate=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,lte=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,ute=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function cte(e,t){return!!((t==="v4"||!t)&&ate.test(e)||(t==="v6"||!t)&&lte.test(e))}class Es extends bt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:ce.invalid_string,...Ze.errToObj(r)}),this.nonempty=t=>this.min(1,Ze.errToObj(t)),this.trim=()=>new Es({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Es({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Es({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==ke.string){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.string,received:o.parsedType}),ct}const r=new Fi;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Pe(i,{code:ce.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Pe(i,{code:ce.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")ote.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"email",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")ste.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"emoji",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")ite.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"uuid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")tte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"cuid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")nte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"cuid2",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")rte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"ulid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Pe(i,{validation:"url",code:ce.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"regex",code:ce.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?ute(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?cte(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"ip",code:ce.invalid_string,message:o.message}),r.dirty()):Ut.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Es({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Ze.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Ze.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Ze.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Ze.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Ze.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Ze.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Ze.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Ze.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Ze.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Ze.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Ze.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Ze.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Ze.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Ze.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Ze.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Ze.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Es.create=e=>{var t;return new Es({checks:[],typeName:nt.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...gt(e)})};function dte(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class du extends bt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==ke.number){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.number,received:o.parsedType}),ct}let r;const i=new Fi;for(const o of this._def.checks)o.kind==="int"?Ut.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?dte(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_finite,message:o.message}),i.dirty()):Ut.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new du({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new du({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Ze.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Ze.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Ze.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Ze.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Ut.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}du.create=e=>new du({checks:[],typeName:nt.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...gt(e)});class fu extends bt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==ke.bigint){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.bigint,received:o.parsedType}),ct}let r;const i=new Fi;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Ut.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new fu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new fu({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}fu.create=e=>{var t;return new fu({checks:[],typeName:nt.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...gt(e)})};class sg extends bt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==ke.boolean){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.boolean,received:r.parsedType}),ct}return Xi(t.data)}}sg.create=e=>new sg({typeName:nt.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...gt(e)});class xc extends bt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==ke.date){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.date,received:o.parsedType}),ct}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_date}),ct}const r=new Fi;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Ut.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new xc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Ze.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Ze.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}xc.create=e=>new xc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:nt.ZodDate,...gt(e)});class Dv extends bt{_parse(t){if(this._getType(t)!==ke.symbol){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.symbol,received:r.parsedType}),ct}return Xi(t.data)}}Dv.create=e=>new Dv({typeName:nt.ZodSymbol,...gt(e)});class ag extends bt{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.undefined,received:r.parsedType}),ct}return Xi(t.data)}}ag.create=e=>new ag({typeName:nt.ZodUndefined,...gt(e)});class lg extends bt{_parse(t){if(this._getType(t)!==ke.null){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.null,received:r.parsedType}),ct}return Xi(t.data)}}lg.create=e=>new lg({typeName:nt.ZodNull,...gt(e)});class Pf extends bt{constructor(){super(...arguments),this._any=!0}_parse(t){return Xi(t.data)}}Pf.create=e=>new Pf({typeName:nt.ZodAny,...gt(e)});class hc extends bt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Xi(t.data)}}hc.create=e=>new hc({typeName:nt.ZodUnknown,...gt(e)});class ol extends bt{_parse(t){const n=this._getOrReturnCtx(t);return Pe(n,{code:ce.invalid_type,expected:ke.never,received:n.parsedType}),ct}}ol.create=e=>new ol({typeName:nt.ZodNever,...gt(e)});class Lv extends bt{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.void,received:r.parsedType}),ct}return Xi(t.data)}}Lv.create=e=>new Lv({typeName:nt.ZodVoid,...gt(e)});class Rs extends bt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==ke.array)return Pe(n,{code:ce.invalid_type,expected:ke.array,received:n.parsedType}),ct;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Pe(n,{code:s?ce.too_big:ce.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Pe(n,{code:ce.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Pe(n,{code:ce.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new pa(n,s,n.path,a)))).then(s=>Fi.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new pa(n,s,n.path,a)));return Fi.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Rs({...this._def,minLength:{value:t,message:Ze.toString(n)}})}max(t,n){return new Rs({...this._def,maxLength:{value:t,message:Ze.toString(n)}})}length(t,n){return new Rs({...this._def,exactLength:{value:t,message:Ze.toString(n)}})}nonempty(t){return this.min(1,t)}}Rs.create=(e,t)=>new Rs({type:e,minLength:null,maxLength:null,exactLength:null,typeName:nt.ZodArray,...gt(t)});function wd(e){if(e instanceof Zn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ka.create(wd(r))}return new Zn({...e._def,shape:()=>t})}else return e instanceof Rs?new Rs({...e._def,type:wd(e.element)}):e instanceof Ka?Ka.create(wd(e.unwrap())):e instanceof Ec?Ec.create(wd(e.unwrap())):e instanceof ga?ga.create(e.items.map(t=>wd(t))):e}class Zn extends bt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Ut.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==ke.object){const u=this._getOrReturnCtx(t);return Pe(u,{code:ce.invalid_type,expected:ke.object,received:u.parsedType}),ct}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof ol&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new pa(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof ol){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(Pe(i,{code:ce.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new pa(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>Fi.mergeObjectSync(r,u)):Fi.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Ze.errToObj,new Zn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Ze.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Zn({...this._def,unknownKeys:"strip"})}passthrough(){return new Zn({...this._def,unknownKeys:"passthrough"})}extend(t){return new Zn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Zn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:nt.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Zn({...this._def,catchall:t})}pick(t){const n={};return Ut.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Zn({...this._def,shape:()=>n})}omit(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Zn({...this._def,shape:()=>n})}deepPartial(){return wd(this)}partial(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Zn({...this._def,shape:()=>n})}required(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ka;)o=o._def.innerType;n[r]=o}}),new Zn({...this._def,shape:()=>n})}keyof(){return Y7(Ut.objectKeys(this.shape))}}Zn.create=(e,t)=>new Zn({shape:()=>e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});Zn.strictCreate=(e,t)=>new Zn({shape:()=>e,unknownKeys:"strict",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});Zn.lazycreate=(e,t)=>new Zn({shape:e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});class ug extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Ps(a.ctx.common.issues));return Pe(n,{code:ce.invalid_union,unionErrors:s}),ct}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Ps(l));return Pe(n,{code:ce.invalid_union,unionErrors:a}),ct}}get options(){return this._def.options}}ug.create=(e,t)=>new ug({options:e,typeName:nt.ZodUnion,...gt(t)});const k0=e=>e instanceof fg?k0(e.schema):e instanceof Ns?k0(e.innerType()):e instanceof hg?[e.value]:e instanceof hu?e.options:e instanceof pg?Object.keys(e.enum):e instanceof gg?k0(e._def.innerType):e instanceof ag?[void 0]:e instanceof lg?[null]:null;class P_ extends bt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.object)return Pe(n,{code:ce.invalid_type,expected:ke.object,received:n.parsedType}),ct;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Pe(n,{code:ce.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ct)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=k0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new P_({typeName:nt.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...gt(r)})}}function dC(e,t){const n=Nl(e),r=Nl(t);if(e===t)return{valid:!0,data:e};if(n===ke.object&&r===ke.object){const i=Ut.objectKeys(t),o=Ut.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=dC(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===ke.array&&r===ke.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=dC(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===ke.date&&r===ke.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class cg extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(uC(o)||uC(s))return ct;const a=dC(o.value,s.value);return a.valid?((cC(o)||cC(s))&&n.dirty(),{status:n.value,value:a.data}):(Pe(r,{code:ce.invalid_intersection_types}),ct)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}cg.create=(e,t,n)=>new cg({left:e,right:t,typeName:nt.ZodIntersection,...gt(n)});class ga extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.array)return Pe(r,{code:ce.invalid_type,expected:ke.array,received:r.parsedType}),ct;if(r.data.length<this._def.items.length)return Pe(r,{code:ce.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),ct;!this._def.rest&&r.data.length>this._def.items.length&&(Pe(r,{code:ce.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new pa(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Fi.mergeArray(n,s)):Fi.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new ga({...this._def,rest:t})}}ga.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new ga({items:e,typeName:nt.ZodTuple,rest:null,...gt(t)})};class dg extends bt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.object)return Pe(r,{code:ce.invalid_type,expected:ke.object,received:r.parsedType}),ct;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new pa(r,a,r.path,a)),value:s._parse(new pa(r,r.data[a],r.path,a))});return r.common.async?Fi.mergeObjectAsync(n,i):Fi.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof bt?new dg({keyType:t,valueType:n,typeName:nt.ZodRecord,...gt(r)}):new dg({keyType:Es.create(),valueType:t,typeName:nt.ZodRecord,...gt(n)})}}class $v extends bt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.map)return Pe(r,{code:ce.invalid_type,expected:ke.map,received:r.parsedType}),ct;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new pa(r,a,r.path,[u,"key"])),value:o._parse(new pa(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}$v.create=(e,t,n)=>new $v({valueType:t,keyType:e,typeName:nt.ZodMap,...gt(n)});class Cc extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.set)return Pe(r,{code:ce.invalid_type,expected:ke.set,received:r.parsedType}),ct;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Pe(r,{code:ce.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Pe(r,{code:ce.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return ct;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new pa(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new Cc({...this._def,minSize:{value:t,message:Ze.toString(n)}})}max(t,n){return new Cc({...this._def,maxSize:{value:t,message:Ze.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Cc.create=(e,t)=>new Cc({valueType:e,minSize:null,maxSize:null,typeName:nt.ZodSet,...gt(t)});class of extends bt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.function)return Pe(n,{code:ce.invalid_type,expected:ke.function,received:n.parsedType}),ct;function r(a,l){return Mv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Iv(),ig].filter(u=>!!u),issueData:{code:ce.invalid_arguments,argumentsError:l}})}function i(a,l){return Mv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Iv(),ig].filter(u=>!!u),issueData:{code:ce.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof Rf){const a=this;return Xi(async function(...l){const u=new Ps([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return Xi(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new Ps([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new Ps([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new of({...this._def,args:ga.create(t).rest(hc.create())})}returns(t){return new of({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new of({args:t||ga.create([]).rest(hc.create()),returns:n||hc.create(),typeName:nt.ZodFunction,...gt(r)})}}class fg extends bt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}fg.create=(e,t)=>new fg({getter:e,typeName:nt.ZodLazy,...gt(t)});class hg extends bt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Pe(n,{received:n.data,code:ce.invalid_literal,expected:this._def.value}),ct}return{status:"valid",value:t.data}}get value(){return this._def.value}}hg.create=(e,t)=>new hg({value:e,typeName:nt.ZodLiteral,...gt(t)});function Y7(e,t){return new hu({values:e,typeName:nt.ZodEnum,...gt(t)})}class hu extends bt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{expected:Ut.joinValues(r),received:n.parsedType,code:ce.invalid_type}),ct}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{received:n.data,code:ce.invalid_enum_value,options:r}),ct}return Xi(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return hu.create(t)}exclude(t){return hu.create(this.options.filter(n=>!t.includes(n)))}}hu.create=Y7;class pg extends bt{_parse(t){const n=Ut.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==ke.string&&r.parsedType!==ke.number){const i=Ut.objectValues(n);return Pe(r,{expected:Ut.joinValues(i),received:r.parsedType,code:ce.invalid_type}),ct}if(n.indexOf(t.data)===-1){const i=Ut.objectValues(n);return Pe(r,{received:r.data,code:ce.invalid_enum_value,options:i}),ct}return Xi(t.data)}get enum(){return this._def.values}}pg.create=(e,t)=>new pg({values:e,typeName:nt.ZodNativeEnum,...gt(t)});class Rf extends bt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.promise&&n.common.async===!1)return Pe(n,{code:ce.invalid_type,expected:ke.promise,received:n.parsedType}),ct;const r=n.parsedType===ke.promise?n.data:Promise.resolve(n.data);return Xi(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Rf.create=(e,t)=>new Rf({type:e,typeName:nt.ZodPromise,...gt(t)});class Ns extends bt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===nt.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{Pe(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ct:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ct:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!og(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. 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n.parsedType===ke.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}gg.create=(e,t)=>new gg({innerType:e,typeName:nt.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...gt(t)});class Fv extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return Nv(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Ps(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Ps(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}Fv.create=(e,t)=>new Fv({innerType:e,typeName:nt.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...gt(t)});class Bv extends bt{_parse(t){if(this._getType(t)!==ke.nan){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.nan,received:r.parsedType}),ct}return{status:"valid",value:t.data}}}Bv.create=e=>new Bv({typeName:nt.ZodNaN,...gt(e)});const fte=Symbol("zod_brand");class Z7 extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class bm extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?ct:o.status==="dirty"?(n.dirty(),Q7(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?ct:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new bm({in:t,out:n,typeName:nt.ZodPipeline})}}class zv extends bt{_parse(t){const n=this._def.innerType._parse(t);return og(n)&&(n.value=Object.freeze(n.value)),n}}zv.create=(e,t)=>new zv({innerType:e,typeName:nt.ZodReadonly,...gt(t)});const J7=(e,t={},n)=>e?Pf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):Pf.create(),hte={object:Zn.lazycreate};var nt;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(nt||(nt={}));const pte=(e,t={message:`Input not instance of ${e.name}`})=>J7(n=>n 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z=Object.freeze({__proto__:null,defaultErrorMap:ig,setErrorMap:Jee,getErrorMap:Iv,makeIssue:Mv,EMPTY_PATH:ete,addIssueToContext:Pe,ParseStatus:Fi,INVALID:ct,DIRTY:Q7,OK:Xi,isAborted:uC,isDirty:cC,isValid:og,isAsync:Nv,get util(){return Ut},get objectUtil(){return lC},ZodParsedType:ke,getParsedType:Nl,ZodType:bt,ZodString:Es,ZodNumber:du,ZodBigInt:fu,ZodBoolean:sg,ZodDate:xc,ZodSymbol:Dv,ZodUndefined:ag,ZodNull:lg,ZodAny:Pf,ZodUnknown:hc,ZodNever:ol,ZodVoid:Lv,ZodArray:Rs,ZodObject:Zn,ZodUnion:ug,ZodDiscriminatedUnion:P_,ZodIntersection:cg,ZodTuple:ga,ZodRecord:dg,ZodMap:$v,ZodSet:Cc,ZodFunction:of,ZodLazy:fg,ZodLiteral:hg,ZodEnum:hu,ZodNativeEnum:pg,ZodPromise:Rf,ZodEffects:Ns,ZodTransformer:Ns,ZodOptional:Ka,ZodNullable:Ec,ZodDefault:gg,ZodCatch:Fv,ZodNaN:Bv,BRAND:fte,ZodBranded:Z7,ZodPipeline:bm,ZodReadonly:zv,custom:J7,Schema:bt,ZodSchema:bt,late:hte,get ZodFirstPartyTypeKind(){return nt},coerce:Kte,any:Ste,array:Ete,bigint:mte,boolean:nD,date:yte,discriminatedUnion:Pte,effect:jk,enum:Fte,function:Dte,instanceof:pte,intersection:Rte,lazy:Lte,literal:$te,map:Mte,nan:gte,nativeEnum:Bte,never:xte,null:bte,nullable:jte,number:tD,object:Tte,oboolean:Wte,onumber:qte,optional:Ute,ostring:Hte,pipeline:Gte,preprocess:Vte,promise:zte,record:Ite,set:Nte,strictObject:Ate,string:eD,symbol:vte,transformer:jk,tuple:Ote,undefined:_te,union:kte,unknown:wte,void:Cte,NEVER:Xte,ZodIssueCode:ce,quotelessJson:Zee,ZodError:Ps});const Qte=z.string(),JPe=e=>Qte.safeParse(e).success,Yte=z.string(),e6e=e=>Yte.safeParse(e).success,Zte=z.string(),t6e=e=>Zte.safeParse(e).success,Jte=z.string(),n6e=e=>Jte.safeParse(e).success,ene=z.number().int().min(1),r6e=e=>ene.safeParse(e).success,tne=z.number().min(1),i6e=e=>tne.safeParse(e).success,rD=z.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),o6e=e=>rD.safeParse(e).success,s6e={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler 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ane=z.number().min(1).max(10),g6e=e=>ane.safeParse(e).success,lne=z.number().min(1).max(10),m6e=e=>lne.safeParse(e).success,une=z.number().min(0).max(1),y6e=e=>une.safeParse(e).success;z.enum(["box","gaussian"]);z.enum(["unmasked","mask","edge"]);const Ls={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceMode:"edge",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,infillTileSize:32,infillPatchmatchDownscaleSize:1,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},cne=Ls,oD=er({name:"generation",initialState:cne,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=Bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=Bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...Ls}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 0},setMaskBlur:(e,t)=>{e.maskBlur=t.payload},setMaskBlurMethod:(e,t)=>{e.maskBlurMethod=t.payload},setCanvasCoherenceMode:(e,t)=>{e.canvasCoherenceMode=t.payload},setCanvasCoherenceSteps:(e,t)=>{e.canvasCoherenceSteps=t.payload},setCanvasCoherenceStrength:(e,t)=>{e.canvasCoherenceStrength=t.payload},setInfillMethod:(e,t)=>{e.infillMethod=t.payload},setInfillTileSize:(e,t)=>{e.infillTileSize=t.payload},setInfillPatchmatchDownscaleSize:(e,t)=>{e.infillPatchmatchDownscaleSize=t.payload},setShouldUseSymmetry:(e,t)=>{e.shouldUseSymmetry=t.payload},setHorizontalSymmetrySteps:(e,t)=>{e.horizontalSymmetrySteps=t.payload},setVerticalSymmetrySteps:(e,t)=>{e.verticalSymmetrySteps=t.payload},setShouldUseNoiseSettings:(e,t)=>{e.shouldUseNoiseSettings=t.payload},initialImageChanged:(e,t)=>{const{image_name:n,width:r,height:i}=t.payload;e.initialImage={imageName:n,width:r,height:i}},modelChanged:(e,t)=>{if(e.model=t.payload,e.model===null)return;const{maxClip:n}=Qee[e.model.base_model];e.clipSkip=Bl(e.clipSkip,0,n)},vaeSelected:(e,t)=>{e.vae=t.payload},vaePrecisionChanged:(e,t)=>{e.vaePrecision=t.payload},setClipSkip:(e,t)=>{e.clipSkip=t.payload},shouldUseCpuNoiseChanged:(e,t)=>{e.shouldUseCpuNoise=t.payload},setShouldShowAdvancedOptions:(e,t)=>{e.shouldShowAdvancedOptions=t.payload,t.payload||(e.clipSkip=0)},setAspectRatio:(e,t)=>{const 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n=od(e.boundingBoxDimensions);e.scaledBoundingBoxDimensions=n}},setScaledBoundingBoxDimensions:(e,t)=>{e.scaledBoundingBoxDimensions=t.payload},setShouldShowStagingImage:(e,t)=>{e.shouldShowStagingImage=t.payload},setShouldShowStagingOutline:(e,t)=>{e.shouldShowStagingOutline=t.payload},setShouldShowCanvasDebugInfo:(e,t)=>{e.shouldShowCanvasDebugInfo=t.payload},setShouldRestrictStrokesToBox:(e,t)=>{e.shouldRestrictStrokesToBox=t.payload},setShouldAntialias:(e,t)=>{e.shouldAntialias=t.payload},setShouldCropToBoundingBoxOnSave:(e,t)=>{e.shouldCropToBoundingBoxOnSave=t.payload},setColorPickerColor:(e,t)=>{e.colorPickerColor=t.payload},commitColorPickerColor:e=>{e.brushColor={...e.colorPickerColor,a:e.brushColor.a},e.tool="brush"},setMergedCanvas:(e,t)=>{e.pastLayerStates.push(Yn(e.layerState)),e.futureLayerStates=[],e.layerState.objects=[t.payload]},resetCanvasInteractionState:e=>{e.cursorPosition=null,e.isDrawing=!1,e.isMouseOverBoundingBox=!1,e.isMoveBoundingBoxKeyHeld=!1,e.isMoveStageKeyHeld=!1,e.isMovingBoundingBox=!1,e.isMovingStage=!1,e.isTransformingBoundingBox=!1},mouseLeftCanvas:e=>{e.cursorPosition=null,e.isDrawing=!1,e.isMouseOverBoundingBox=!1,e.isMovingBoundingBox=!1,e.isTransformingBoundingBox=!1}},extraReducers:e=>{e.addCase(Au.pending,t=>{t.layerState.stagingArea.images.length||(t.layerState.stagingArea=xd.stagingArea)}),e.addCase(hne,(t,n)=>{const r=n.payload;r&&(t.boundingBoxDimensions.height=Ys(t.boundingBoxDimensions.width/r,64))})}}),{addEraseRect:c8e,addFillRect:d8e,addImageToStagingArea:Mne,addLine:f8e,addPointToCurrentLine:h8e,clearCanvasHistory:p8e,clearMask:g8e,commitColorPickerColor:m8e,commitStagingAreaImage:Nne,discardStagedImages:y8e,fitBoundingBoxToStage:v8e,mouseLeftCanvas:_8e,nextStagingAreaImage:b8e,prevStagingAreaImage:S8e,redo:w8e,resetCanvas:yE,resetCanvasInteractionState:x8e,resetCanvasView:C8e,setBoundingBoxCoordinates:E8e,setBoundingBoxDimensions:Hk,setBoundingBoxPreviewFill:T8e,setBoundingBoxScaleMethod:A8e,flipBoundingBoxAxes:k8e,setBrushColor:P8e,setBrushSize:R8e,setColorPickerColor:O8e,setCursorPosition:I8e,setInitialCanvasImage:dD,setIsDrawing:M8e,setIsMaskEnabled:N8e,setIsMouseOverBoundingBox:D8e,setIsMoveBoundingBoxKeyHeld:L8e,setIsMoveStageKeyHeld:$8e,setIsMovingBoundingBox:F8e,setIsMovingStage:B8e,setIsTransformingBoundingBox:z8e,setLayer:U8e,setMaskColor:j8e,setMergedCanvas:Dne,setShouldAutoSave:V8e,setShouldCropToBoundingBoxOnSave:G8e,setShouldDarkenOutsideBoundingBox:H8e,setShouldLockBoundingBox:q8e,setShouldPreserveMaskedArea:W8e,setShouldShowBoundingBox:K8e,setShouldShowBrush:X8e,setShouldShowBrushPreview:Q8e,setShouldShowCanvasDebugInfo:Y8e,setShouldShowCheckboardTransparency:Z8e,setShouldShowGrid:J8e,setShouldShowIntermediates:eRe,setShouldShowStagingImage:tRe,setShouldShowStagingOutline:nRe,setShouldSnapToGrid:rRe,setStageCoordinates:iRe,setStageScale:oRe,setTool:sRe,toggleShouldLockBoundingBox:aRe,toggleTool:lRe,undo:uRe,setScaledBoundingBoxDimensions:cRe,setShouldRestrictStrokesToBox:dRe,stagingAreaInitialized:Lne,canvasSessionIdChanged:$ne,setShouldAntialias:fRe,canvasResized:hRe}=cD.actions,Fne=cD.reducer,Bne={isModalOpen:!1,imagesToChange:[]},fD=er({name:"changeBoardModal",initialState:Bne,reducers:{isModalOpenChanged:(e,t)=>{e.isModalOpen=t.payload},imagesToChangeSelected:(e,t)=>{e.imagesToChange=t.payload},changeBoardReset:e=>{e.imagesToChange=[],e.isModalOpen=!1}}}),{isModalOpenChanged:pRe,imagesToChangeSelected:gRe,changeBoardReset:mRe}=fD.actions,zne=fD.reducer,Kr=["general"],Ul=["control","mask","user","other"],Une=100,xy=20;/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const jne=4,qk=0,Wk=1,Vne=2;function ih(e){let t=e.length;for(;--t>=0;)e[t]=0}const Gne=0,hD=1,Hne=2,qne=3,Wne=258,vE=29,wm=256,vg=wm+1+vE,sf=30,_E=19,pD=2*vg+1,nc=15,I2=16,Kne=7,bE=256,gD=16,mD=17,yD=18,fC=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),P0=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),Xne=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),vD=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),Qne=512,Ba=new Array((vg+2)*2);ih(Ba);const _p=new Array(sf*2);ih(_p);const _g=new Array(Qne);ih(_g);const bg=new Array(Wne-qne+1);ih(bg);const SE=new Array(vE);ih(SE);const Uv=new Array(sf);ih(Uv);function M2(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let _D,bD,SD;function N2(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}const wD=e=>e<256?_g[e]:_g[256+(e>>>7)],Sg=(e,t)=>{e.pending_buf[e.pending++]=t&255,e.pending_buf[e.pending++]=t>>>8&255},lo=(e,t,n)=>{e.bi_valid>I2-n?(e.bi_buf|=t<<e.bi_valid&65535,Sg(e,e.bi_buf),e.bi_buf=t>>I2-e.bi_valid,e.bi_valid+=n-I2):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=n)},Zs=(e,t,n)=>{lo(e,n[t*2],n[t*2+1])},xD=(e,t)=>{let n=0;do n|=e&1,e>>>=1,n<<=1;while(--t>0);return n>>>1},Yne=e=>{e.bi_valid===16?(Sg(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):e.bi_valid>=8&&(e.pending_buf[e.pending++]=e.bi_buf&255,e.bi_buf>>=8,e.bi_valid-=8)},Zne=(e,t)=>{const n=t.dyn_tree,r=t.max_code,i=t.stat_desc.static_tree,o=t.stat_desc.has_stree,s=t.stat_desc.extra_bits,a=t.stat_desc.extra_base,l=t.stat_desc.max_length;let u,c,d,f,h,p,m=0;for(f=0;f<=nc;f++)e.bl_count[f]=0;for(n[e.heap[e.heap_max]*2+1]=0,u=e.heap_max+1;u<pD;u++)c=e.heap[u],f=n[n[c*2+1]*2+1]+1,f>l&&(f=l,m++),n[c*2+1]=f,!(c>r)&&(e.bl_count[f]++,h=0,c>=a&&(h=s[c-a]),p=n[c*2],e.opt_len+=p*(f+h),o&&(e.static_len+=p*(i[c*2+1]+h)));if(m!==0){do{for(f=l-1;e.bl_count[f]===0;)f--;e.bl_count[f]--,e.bl_count[f+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(f=l;f!==0;f--)for(c=e.bl_count[f];c!==0;)d=e.heap[--u],!(d>r)&&(n[d*2+1]!==f&&(e.opt_len+=(f-n[d*2+1])*n[d*2],n[d*2+1]=f),c--)}},CD=(e,t,n)=>{const r=new Array(nc+1);let i=0,o,s;for(o=1;o<=nc;o++)i=i+n[o-1]<<1,r[o]=i;for(s=0;s<=t;s++){let a=e[s*2+1];a!==0&&(e[s*2]=xD(r[a]++,a))}},Jne=()=>{let e,t,n,r,i;const o=new Array(nc+1);for(n=0,r=0;r<vE-1;r++)for(SE[r]=n,e=0;e<1<<fC[r];e++)bg[n++]=r;for(bg[n-1]=r,i=0,r=0;r<16;r++)for(Uv[r]=i,e=0;e<1<<P0[r];e++)_g[i++]=r;for(i>>=7;r<sf;r++)for(Uv[r]=i<<7,e=0;e<1<<P0[r]-7;e++)_g[256+i++]=r;for(t=0;t<=nc;t++)o[t]=0;for(e=0;e<=143;)Ba[e*2+1]=8,e++,o[8]++;for(;e<=255;)Ba[e*2+1]=9,e++,o[9]++;for(;e<=279;)Ba[e*2+1]=7,e++,o[7]++;for(;e<=287;)Ba[e*2+1]=8,e++,o[8]++;for(CD(Ba,vg+1,o),e=0;e<sf;e++)_p[e*2+1]=5,_p[e*2]=xD(e,5);_D=new M2(Ba,fC,wm+1,vg,nc),bD=new M2(_p,P0,0,sf,nc),SD=new M2(new Array(0),Xne,0,_E,Kne)},ED=e=>{let t;for(t=0;t<vg;t++)e.dyn_ltree[t*2]=0;for(t=0;t<sf;t++)e.dyn_dtree[t*2]=0;for(t=0;t<_E;t++)e.bl_tree[t*2]=0;e.dyn_ltree[bE*2]=1,e.opt_len=e.static_len=0,e.sym_next=e.matches=0},TD=e=>{e.bi_valid>8?Sg(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},Kk=(e,t,n,r)=>{const i=t*2,o=n*2;return e[i]<e[o]||e[i]===e[o]&&r[t]<=r[n]},D2=(e,t,n)=>{const r=e.heap[n];let i=n<<1;for(;i<=e.heap_len&&(i<e.heap_len&&Kk(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!Kk(t,r,e.heap[i],e.depth));)e.heap[n]=e.heap[i],n=i,i<<=1;e.heap[n]=r},Xk=(e,t,n)=>{let r,i,o=0,s,a;if(e.sym_next!==0)do r=e.pending_buf[e.sym_buf+o++]&255,r+=(e.pending_buf[e.sym_buf+o++]&255)<<8,i=e.pending_buf[e.sym_buf+o++],r===0?Zs(e,i,t):(s=bg[i],Zs(e,s+wm+1,t),a=fC[s],a!==0&&(i-=SE[s],lo(e,i,a)),r--,s=wD(r),Zs(e,s,n),a=P0[s],a!==0&&(r-=Uv[s],lo(e,r,a)));while(o<e.sym_next);Zs(e,bE,t)},hC=(e,t)=>{const n=t.dyn_tree,r=t.stat_desc.static_tree,i=t.stat_desc.has_stree,o=t.stat_desc.elems;let s,a,l=-1,u;for(e.heap_len=0,e.heap_max=pD,s=0;s<o;s++)n[s*2]!==0?(e.heap[++e.heap_len]=l=s,e.depth[s]=0):n[s*2+1]=0;for(;e.heap_len<2;)u=e.heap[++e.heap_len]=l<2?++l:0,n[u*2]=1,e.depth[u]=0,e.opt_len--,i&&(e.static_len-=r[u*2+1]);for(t.max_code=l,s=e.heap_len>>1;s>=1;s--)D2(e,n,s);u=o;do s=e.heap[1],e.heap[1]=e.heap[e.heap_len--],D2(e,n,1),a=e.heap[1],e.heap[--e.heap_max]=s,e.heap[--e.heap_max]=a,n[u*2]=n[s*2]+n[a*2],e.depth[u]=(e.depth[s]>=e.depth[a]?e.depth[s]:e.depth[a])+1,n[s*2+1]=n[a*2+1]=u,e.heap[1]=u++,D2(e,n,1);while(e.heap_len>=2);e.heap[--e.heap_max]=e.heap[1],Zne(e,t),CD(n,l,e.bl_count)},Qk=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),t[(n+1)*2+1]=65535,r=0;r<=n;r++)o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)&&(a<u?e.bl_tree[o*2]+=a:o!==0?(o!==i&&e.bl_tree[o*2]++,e.bl_tree[gD*2]++):a<=10?e.bl_tree[mD*2]++:e.bl_tree[yD*2]++,a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4))},Yk=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),r=0;r<=n;r++)if(o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)){if(a<u)do Zs(e,o,e.bl_tree);while(--a!==0);else o!==0?(o!==i&&(Zs(e,o,e.bl_tree),a--),Zs(e,gD,e.bl_tree),lo(e,a-3,2)):a<=10?(Zs(e,mD,e.bl_tree),lo(e,a-3,3)):(Zs(e,yD,e.bl_tree),lo(e,a-11,7));a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4)}},ere=e=>{let t;for(Qk(e,e.dyn_ltree,e.l_desc.max_code),Qk(e,e.dyn_dtree,e.d_desc.max_code),hC(e,e.bl_desc),t=_E-1;t>=3&&e.bl_tree[vD[t]*2+1]===0;t--);return e.opt_len+=3*(t+1)+5+5+4,t},tre=(e,t,n,r)=>{let i;for(lo(e,t-257,5),lo(e,n-1,5),lo(e,r-4,4),i=0;i<r;i++)lo(e,e.bl_tree[vD[i]*2+1],3);Yk(e,e.dyn_ltree,t-1),Yk(e,e.dyn_dtree,n-1)},nre=e=>{let t=4093624447,n;for(n=0;n<=31;n++,t>>>=1)if(t&1&&e.dyn_ltree[n*2]!==0)return qk;if(e.dyn_ltree[9*2]!==0||e.dyn_ltree[10*2]!==0||e.dyn_ltree[13*2]!==0)return Wk;for(n=32;n<wm;n++)if(e.dyn_ltree[n*2]!==0)return Wk;return qk};let Zk=!1;const rre=e=>{Zk||(Jne(),Zk=!0),e.l_desc=new N2(e.dyn_ltree,_D),e.d_desc=new N2(e.dyn_dtree,bD),e.bl_desc=new N2(e.bl_tree,SD),e.bi_buf=0,e.bi_valid=0,ED(e)},AD=(e,t,n,r)=>{lo(e,(Gne<<1)+(r?1:0),3),TD(e),Sg(e,n),Sg(e,~n),n&&e.pending_buf.set(e.window.subarray(t,t+n),e.pending),e.pending+=n},ire=e=>{lo(e,hD<<1,3),Zs(e,bE,Ba),Yne(e)},ore=(e,t,n,r)=>{let i,o,s=0;e.level>0?(e.strm.data_type===Vne&&(e.strm.data_type=nre(e)),hC(e,e.l_desc),hC(e,e.d_desc),s=ere(e),i=e.opt_len+3+7>>>3,o=e.static_len+3+7>>>3,o<=i&&(i=o)):i=o=n+5,n+4<=i&&t!==-1?AD(e,t,n,r):e.strategy===jne||o===i?(lo(e,(hD<<1)+(r?1:0),3),Xk(e,Ba,_p)):(lo(e,(Hne<<1)+(r?1:0),3),tre(e,e.l_desc.max_code+1,e.d_desc.max_code+1,s+1),Xk(e,e.dyn_ltree,e.dyn_dtree)),ED(e),r&&TD(e)},sre=(e,t,n)=>(e.pending_buf[e.sym_buf+e.sym_next++]=t,e.pending_buf[e.sym_buf+e.sym_next++]=t>>8,e.pending_buf[e.sym_buf+e.sym_next++]=n,t===0?e.dyn_ltree[n*2]++:(e.matches++,t--,e.dyn_ltree[(bg[n]+wm+1)*2]++,e.dyn_dtree[wD(t)*2]++),e.sym_next===e.sym_end);var are=rre,lre=AD,ure=ore,cre=sre,dre=ire,fre={_tr_init:are,_tr_stored_block:lre,_tr_flush_block:ure,_tr_tally:cre,_tr_align:dre};const hre=(e,t,n,r)=>{let i=e&65535|0,o=e>>>16&65535|0,s=0;for(;n!==0;){s=n>2e3?2e3:n,n-=s;do i=i+t[r++]|0,o=o+i|0;while(--s);i%=65521,o%=65521}return i|o<<16|0};var wg=hre;const pre=()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},gre=new Uint32Array(pre()),mre=(e,t,n,r)=>{const i=gre,o=r+n;e^=-1;for(let s=r;s<o;s++)e=e>>>8^i[(e^t[s])&255];return e^-1};var Qr=mre,If={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"},xm={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:yre,_tr_stored_block:pC,_tr_flush_block:vre,_tr_tally:Jl,_tr_align:_re}=fre,{Z_NO_FLUSH:eu,Z_PARTIAL_FLUSH:bre,Z_FULL_FLUSH:Sre,Z_FINISH:Xo,Z_BLOCK:Jk,Z_OK:gi,Z_STREAM_END:eP,Z_STREAM_ERROR:la,Z_DATA_ERROR:wre,Z_BUF_ERROR:L2,Z_DEFAULT_COMPRESSION:xre,Z_FILTERED:Cre,Z_HUFFMAN_ONLY:Cy,Z_RLE:Ere,Z_FIXED:Tre,Z_DEFAULT_STRATEGY:Are,Z_UNKNOWN:kre,Z_DEFLATED:M_}=xm,Pre=9,Rre=15,Ore=8,Ire=29,Mre=256,gC=Mre+1+Ire,Nre=30,Dre=19,Lre=2*gC+1,$re=15,Mt=3,jl=258,ua=jl+Mt+1,Fre=32,Mf=42,wE=57,mC=69,yC=73,vC=91,_C=103,rc=113,Jh=666,Hi=1,oh=2,Tc=3,sh=4,Bre=3,ic=(e,t)=>(e.msg=If[t],t),tP=e=>e*2-(e>4?9:0),Dl=e=>{let t=e.length;for(;--t>=0;)e[t]=0},zre=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let Ure=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask,tu=Ure;const So=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},Ao=(e,t)=>{vre(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,So(e.strm)},Xt=(e,t)=>{e.pending_buf[e.pending++]=t},Ph=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},bC=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=wg(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Qr(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},kD=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-ua?e.strstart-(e.w_size-ua):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+jl;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&r<f);if(o=jl-(f-r),r=f-jl,o>s){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},Nf=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-ua)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),zre(e),r+=t),e.strm.avail_in===0)break;if(n=bC(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=Mt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=tu(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=tu(e,e.ins_h,e.window[i+Mt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<Mt)););}while(e.lookahead<ua&&e.strm.avail_in!==0)},PD=(e,t)=>{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_out<o||(o=e.strm.avail_out-o,i=e.strstart-e.block_start,r>i+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r<n&&(r===0&&t!==Xo||t===eu||r!==i+e.strm.avail_in)))break;s=t===Xo&&r===i+e.strm.avail_in?1:0,pC(e,0,0,s),e.pending_buf[e.pending-4]=r,e.pending_buf[e.pending-3]=r>>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,So(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(bC(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),s?sh:t!==eu&&t!==Xo&&e.strm.avail_in===0&&e.strstart===e.block_start?oh:(o=e.window_size-e.strstart,e.strm.avail_in>o&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(bC(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water<e.strstart&&(e.high_water=e.strstart),o=e.bi_valid+42>>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Xo)&&t!==eu&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Xo&&e.strm.avail_in===0&&r===i?1:0,pC(e,e.block_start,r,s),e.block_start+=r,So(e.strm)),s?Tc:Hi)},$2=(e,t)=>{let n,r;for(;;){if(e.lookahead<ua){if(Nf(e),e.lookahead<ua&&t===eu)return Hi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Mt&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-ua&&(e.match_length=kD(e,n)),e.match_length>=Mt)if(r=Jl(e,e.strstart-e.match_start,e.match_length-Mt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=Mt){e.match_length--;do e.strstart++,e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=tu(e,e.ins_h,e.window[e.strstart+1]);else r=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=e.strstart<Mt-1?e.strstart:Mt-1,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:sh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:oh},sd=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<ua){if(Nf(e),e.lookahead<ua&&t===eu)return Hi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Mt&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=Mt-1,n!==0&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-ua&&(e.match_length=kD(e,n),e.match_length<=5&&(e.strategy===Cre||e.match_length===Mt&&e.strstart-e.match_start>4096)&&(e.match_length=Mt-1)),e.prev_length>=Mt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-Mt,r=Jl(e,e.strstart-1-e.prev_match,e.prev_length-Mt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=Mt-1,e.strstart++,r&&(Ao(e,!1),e.strm.avail_out===0))return Hi}else if(e.match_available){if(r=Jl(e,0,e.window[e.strstart-1]),r&&Ao(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return Hi}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=Jl(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<Mt-1?e.strstart:Mt-1,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:sh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:oh},jre=(e,t)=>{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=jl){if(Nf(e),e.lookahead<=jl&&t===eu)return Hi;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=Mt&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+jl;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&i<o);e.match_length=jl-(o-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=Mt?(n=Jl(e,1,e.match_length-Mt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=0,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:sh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:oh},Vre=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(Nf(e),e.lookahead===0)){if(t===eu)return Hi;break}if(e.match_length=0,n=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=0,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:sh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:oh};function Us(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const ep=[new Us(0,0,0,0,PD),new Us(4,4,8,4,$2),new Us(4,5,16,8,$2),new Us(4,6,32,32,$2),new Us(4,4,16,16,sd),new Us(8,16,32,32,sd),new Us(8,16,128,128,sd),new Us(8,32,128,256,sd),new Us(32,128,258,1024,sd),new Us(32,258,258,4096,sd)],Gre=e=>{e.window_size=2*e.w_size,Dl(e.head),e.max_lazy_match=ep[e.level].max_lazy,e.good_match=ep[e.level].good_length,e.nice_match=ep[e.level].nice_length,e.max_chain_length=ep[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=Mt-1,e.match_available=0,e.ins_h=0};function Hre(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=M_,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(Lre*2),this.dyn_dtree=new Uint16Array((2*Nre+1)*2),this.bl_tree=new Uint16Array((2*Dre+1)*2),Dl(this.dyn_ltree),Dl(this.dyn_dtree),Dl(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array($re+1),this.heap=new Uint16Array(2*gC+1),Dl(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*gC+1),Dl(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const Cm=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==Mf&&t.status!==wE&&t.status!==mC&&t.status!==yC&&t.status!==vC&&t.status!==_C&&t.status!==rc&&t.status!==Jh?1:0},RD=e=>{if(Cm(e))return ic(e,la);e.total_in=e.total_out=0,e.data_type=kre;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?wE:t.wrap?Mf:rc,e.adler=t.wrap===2?0:1,t.last_flush=-2,yre(t),gi},OD=e=>{const t=RD(e);return t===gi&&Gre(e.state),t},qre=(e,t)=>Cm(e)||e.state.wrap!==2?la:(e.state.gzhead=t,gi),ID=(e,t,n,r,i,o)=>{if(!e)return la;let s=1;if(t===xre&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>Pre||n!==M_||r<8||r>15||t<0||t>9||o<0||o>Tre||r===8&&s!==1)return ic(e,la);r===8&&(r=9);const a=new Hre;return e.state=a,a.strm=e,a.status=Mf,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<<a.w_bits,a.w_mask=a.w_size-1,a.hash_bits=i+7,a.hash_size=1<<a.hash_bits,a.hash_mask=a.hash_size-1,a.hash_shift=~~((a.hash_bits+Mt-1)/Mt),a.window=new Uint8Array(a.w_size*2),a.head=new Uint16Array(a.hash_size),a.prev=new Uint16Array(a.w_size),a.lit_bufsize=1<<i+6,a.pending_buf_size=a.lit_bufsize*4,a.pending_buf=new Uint8Array(a.pending_buf_size),a.sym_buf=a.lit_bufsize,a.sym_end=(a.lit_bufsize-1)*3,a.level=t,a.strategy=o,a.method=n,OD(e)},Wre=(e,t)=>ID(e,t,M_,Rre,Ore,Are),Kre=(e,t)=>{if(Cm(e)||t>Jk||t<0)return e?ic(e,la):la;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===Jh&&t!==Xo)return ic(e,e.avail_out===0?L2:la);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(So(e),e.avail_out===0)return n.last_flush=-1,gi}else if(e.avail_in===0&&tP(t)<=tP(r)&&t!==Xo)return ic(e,L2);if(n.status===Jh&&e.avail_in!==0)return ic(e,L2);if(n.status===Mf&&n.wrap===0&&(n.status=rc),n.status===Mf){let i=M_+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=Cy||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=Fre),i+=31-i%31,Ph(n,i),n.strstart!==0&&(Ph(n,e.adler>>>16),Ph(n,e.adler&65535)),e.adler=1,n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(n.status===wE){if(e.adler=0,Xt(n,31),Xt(n,139),Xt(n,8),n.gzhead)Xt(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),Xt(n,n.gzhead.time&255),Xt(n,n.gzhead.time>>8&255),Xt(n,n.gzhead.time>>16&255),Xt(n,n.gzhead.time>>24&255),Xt(n,n.level===9?2:n.strategy>=Cy||n.level<2?4:0),Xt(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(Xt(n,n.gzhead.extra.length&255),Xt(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Qr(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=mC;else if(Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,n.level===9?2:n.strategy>=Cy||n.level<2?4:0),Xt(n,Bre),n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(n.status===mC){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let a=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+a),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=a,So(e),n.pending!==0)return n.last_flush=-1,gi;i=0,o-=a}let s=new Uint8Array(n.gzhead.extra);n.pending_buf.set(s.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=yC}if(n.status===yC){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),So(e),n.pending!==0)return n.last_flush=-1,gi;i=0}n.gzindex<n.gzhead.name.length?o=n.gzhead.name.charCodeAt(n.gzindex++)&255:o=0,Xt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=vC}if(n.status===vC){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),So(e),n.pending!==0)return n.last_flush=-1,gi;i=0}n.gzindex<n.gzhead.comment.length?o=n.gzhead.comment.charCodeAt(n.gzindex++)&255:o=0,Xt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i))}n.status=_C}if(n.status===_C){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(So(e),n.pending!==0))return n.last_flush=-1,gi;Xt(n,e.adler&255),Xt(n,e.adler>>8&255),e.adler=0}if(n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(e.avail_in!==0||n.lookahead!==0||t!==eu&&n.status!==Jh){let i=n.level===0?PD(n,t):n.strategy===Cy?Vre(n,t):n.strategy===Ere?jre(n,t):ep[n.level].func(n,t);if((i===Tc||i===sh)&&(n.status=Jh),i===Hi||i===Tc)return e.avail_out===0&&(n.last_flush=-1),gi;if(i===oh&&(t===bre?_re(n):t!==Jk&&(pC(n,0,0,!1),t===Sre&&(Dl(n.head),n.lookahead===0&&(n.strstart=0,n.block_start=0,n.insert=0))),So(e),e.avail_out===0))return n.last_flush=-1,gi}return t!==Xo?gi:n.wrap<=0?eP:(n.wrap===2?(Xt(n,e.adler&255),Xt(n,e.adler>>8&255),Xt(n,e.adler>>16&255),Xt(n,e.adler>>24&255),Xt(n,e.total_in&255),Xt(n,e.total_in>>8&255),Xt(n,e.total_in>>16&255),Xt(n,e.total_in>>24&255)):(Ph(n,e.adler>>>16),Ph(n,e.adler&65535)),So(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?gi:eP)},Xre=e=>{if(Cm(e))return la;const t=e.state.status;return e.state=null,t===rc?ic(e,wre):gi},Qre=(e,t)=>{let n=t.length;if(Cm(e))return la;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==Mf||r.lookahead)return la;if(i===1&&(e.adler=wg(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(Dl(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,s=e.next_in,a=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,Nf(r);r.lookahead>=Mt;){let l=r.strstart,u=r.lookahead-(Mt-1);do r.ins_h=tu(r,r.ins_h,r.window[l+Mt-1]),r.prev[l&r.w_mask]=r.head[r.ins_h],r.head[r.ins_h]=l,l++;while(--u);r.strstart=l,r.lookahead=Mt-1,Nf(r)}return r.strstart+=r.lookahead,r.block_start=r.strstart,r.insert=r.lookahead,r.lookahead=0,r.match_length=r.prev_length=Mt-1,r.match_available=0,e.next_in=s,e.input=a,e.avail_in=o,r.wrap=i,gi};var Yre=Wre,Zre=ID,Jre=OD,eie=RD,tie=qre,nie=Kre,rie=Xre,iie=Qre,oie="pako deflate (from Nodeca project)",bp={deflateInit:Yre,deflateInit2:Zre,deflateReset:Jre,deflateResetKeep:eie,deflateSetHeader:tie,deflate:nie,deflateEnd:rie,deflateSetDictionary:iie,deflateInfo:oie};const sie=(e,t)=>Object.prototype.hasOwnProperty.call(e,t);var aie=function(e){const t=Array.prototype.slice.call(arguments,1);for(;t.length;){const n=t.shift();if(n){if(typeof n!="object")throw new TypeError(n+"must be non-object");for(const r in n)sie(n,r)&&(e[r]=n[r])}}return e},lie=e=>{let t=0;for(let r=0,i=e.length;r<i;r++)t+=e[r].length;const n=new Uint8Array(t);for(let r=0,i=0,o=e.length;r<o;r++){let s=e[r];n.set(s,i),i+=s.length}return n},N_={assign:aie,flattenChunks:lie};let MD=!0;try{String.fromCharCode.apply(null,new Uint8Array(1))}catch{MD=!1}const xg=new Uint8Array(256);for(let e=0;e<256;e++)xg[e]=e>=252?6:e>=248?5:e>=240?4:e>=224?3:e>=192?2:1;xg[254]=xg[254]=1;var uie=e=>{if(typeof TextEncoder=="function"&&TextEncoder.prototype.encode)return new TextEncoder().encode(e);let t,n,r,i,o,s=e.length,a=0;for(i=0;i<s;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<s&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),a+=n<128?1:n<2048?2:n<65536?3:4;for(t=new Uint8Array(a),o=0,i=0;o<a;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<s&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),n<128?t[o++]=n:n<2048?(t[o++]=192|n>>>6,t[o++]=128|n&63):n<65536?(t[o++]=224|n>>>12,t[o++]=128|n>>>6&63,t[o++]=128|n&63):(t[o++]=240|n>>>18,t[o++]=128|n>>>12&63,t[o++]=128|n>>>6&63,t[o++]=128|n&63);return t};const cie=(e,t)=>{if(t<65534&&e.subarray&&MD)return String.fromCharCode.apply(null,e.length===t?e:e.subarray(0,t));let n="";for(let r=0;r<t;r++)n+=String.fromCharCode(e[r]);return n};var die=(e,t)=>{const n=t||e.length;if(typeof TextDecoder=="function"&&TextDecoder.prototype.decode)return new TextDecoder().decode(e.subarray(0,t));let r,i;const o=new Array(n*2);for(i=0,r=0;r<n;){let s=e[r++];if(s<128){o[i++]=s;continue}let a=xg[s];if(a>4){o[i++]=65533,r+=a-1;continue}for(s&=a===2?31:a===3?15:7;a>1&&r<n;)s=s<<6|e[r++]&63,a--;if(a>1){o[i++]=65533;continue}s<65536?o[i++]=s:(s-=65536,o[i++]=55296|s>>10&1023,o[i++]=56320|s&1023)}return cie(o,i)},fie=(e,t)=>{t=t||e.length,t>e.length&&(t=e.length);let n=t-1;for(;n>=0&&(e[n]&192)===128;)n--;return n<0||n===0?t:n+xg[e[n]]>t?n:t},Cg={string2buf:uie,buf2string:die,utf8border:fie};function hie(){this.input=null,this.next_in=0,this.avail_in=0,this.total_in=0,this.output=null,this.next_out=0,this.avail_out=0,this.total_out=0,this.msg="",this.state=null,this.data_type=2,this.adler=0}var ND=hie;const DD=Object.prototype.toString,{Z_NO_FLUSH:pie,Z_SYNC_FLUSH:gie,Z_FULL_FLUSH:mie,Z_FINISH:yie,Z_OK:jv,Z_STREAM_END:vie,Z_DEFAULT_COMPRESSION:_ie,Z_DEFAULT_STRATEGY:bie,Z_DEFLATED:Sie}=xm;function xE(e){this.options=N_.assign({level:_ie,method:Sie,chunkSize:16384,windowBits:15,memLevel:8,strategy:bie},e||{});let t=this.options;t.raw&&t.windowBits>0?t.windowBits=-t.windowBits:t.gzip&&t.windowBits>0&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new ND,this.strm.avail_out=0;let n=bp.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==jv)throw new Error(If[n]);if(t.header&&bp.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=Cg.string2buf(t.dictionary):DD.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=bp.deflateSetDictionary(this.strm,r),n!==jv)throw new Error(If[n]);this._dict_set=!0}}xE.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?yie:pie,typeof e=="string"?n.input=Cg.string2buf(e):DD.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===gie||o===mie)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=bp.deflate(n,o),i===vie)return n.next_out>0&&this.onData(n.output.subarray(0,n.next_out)),i=bp.deflateEnd(this.strm),this.onEnd(i),this.ended=!0,i===jv;if(n.avail_out===0){this.onData(n.output);continue}if(o>0&&n.next_out>0){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(n.avail_in===0)break}return!0};xE.prototype.onData=function(e){this.chunks.push(e)};xE.prototype.onEnd=function(e){e===jv&&(this.result=N_.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};const Ey=16209,wie=16191;var xie=function(t,n){let r,i,o,s,a,l,u,c,d,f,h,p,m,b,_,v,g,y,S,w,x,E,A,T;const k=t.state;r=t.next_in,A=t.input,i=r+(t.avail_in-5),o=t.next_out,T=t.output,s=o-(n-t.avail_out),a=o+(t.avail_out-257),l=k.dmax,u=k.wsize,c=k.whave,d=k.wnext,f=k.window,h=k.hold,p=k.bits,m=k.lencode,b=k.distcode,_=(1<<k.lenbits)-1,v=(1<<k.distbits)-1;e:do{p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=m[h&_];t:for(;;){if(y=g>>>24,h>>>=y,p-=y,y=g>>>16&255,y===0)T[o++]=g&65535;else if(y&16){S=g&65535,y&=15,y&&(p<y&&(h+=A[r++]<<p,p+=8),S+=h&(1<<y)-1,h>>>=y,p-=y),p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=b[h&v];n:for(;;){if(y=g>>>24,h>>>=y,p-=y,y=g>>>16&255,y&16){if(w=g&65535,y&=15,p<y&&(h+=A[r++]<<p,p+=8,p<y&&(h+=A[r++]<<p,p+=8)),w+=h&(1<<y)-1,w>l){t.msg="invalid distance too far back",k.mode=Ey;break e}if(h>>>=y,p-=y,y=o-s,w>y){if(y=w-y,y>c&&k.sane){t.msg="invalid distance too far back",k.mode=Ey;break e}if(x=0,E=f,d===0){if(x+=u-y,y<S){S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}}else if(d<y){if(x+=u+d-y,y-=d,y<S){S-=y;do T[o++]=f[x++];while(--y);if(x=0,d<S){y=d,S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}}}else if(x+=d-y,y<S){S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}for(;S>2;)T[o++]=E[x++],T[o++]=E[x++],T[o++]=E[x++],S-=3;S&&(T[o++]=E[x++],S>1&&(T[o++]=E[x++]))}else{x=o-w;do T[o++]=T[x++],T[o++]=T[x++],T[o++]=T[x++],S-=3;while(S>2);S&&(T[o++]=T[x++],S>1&&(T[o++]=T[x++]))}}else if(y&64){t.msg="invalid distance code",k.mode=Ey;break e}else{g=b[(g&65535)+(h&(1<<y)-1)];continue n}break}}else if(y&64)if(y&32){k.mode=wie;break e}else{t.msg="invalid literal/length code",k.mode=Ey;break e}else{g=m[(g&65535)+(h&(1<<y)-1)];continue t}break}}while(r<i&&o<a);S=p>>3,r-=S,p-=S<<3,h&=(1<<p)-1,t.next_in=r,t.next_out=o,t.avail_in=r<i?5+(i-r):5-(r-i),t.avail_out=o<a?257+(a-o):257-(o-a),k.hold=h,k.bits=p};const ad=15,nP=852,rP=592,iP=0,F2=1,oP=2,Cie=new Uint16Array([3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0]),Eie=new Uint8Array([16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78]),Tie=new Uint16Array([1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0]),Aie=new Uint8Array([16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64]),kie=(e,t,n,r,i,o,s,a)=>{const l=a.bits;let u=0,c=0,d=0,f=0,h=0,p=0,m=0,b=0,_=0,v=0,g,y,S,w,x,E=null,A;const T=new Uint16Array(ad+1),k=new Uint16Array(ad+1);let L=null,N,C,P;for(u=0;u<=ad;u++)T[u]=0;for(c=0;c<r;c++)T[t[n+c]]++;for(h=l,f=ad;f>=1&&T[f]===0;f--);if(h>f&&(h=f),f===0)return i[o++]=1<<24|64<<16|0,i[o++]=1<<24|64<<16|0,a.bits=1,0;for(d=1;d<f&&T[d]===0;d++);for(h<d&&(h=d),b=1,u=1;u<=ad;u++)if(b<<=1,b-=T[u],b<0)return-1;if(b>0&&(e===iP||f!==1))return-1;for(k[1]=0,u=1;u<ad;u++)k[u+1]=k[u]+T[u];for(c=0;c<r;c++)t[n+c]!==0&&(s[k[t[n+c]]++]=c);if(e===iP?(E=L=s,A=20):e===F2?(E=Cie,L=Eie,A=257):(E=Tie,L=Aie,A=0),v=0,c=0,u=d,x=o,p=h,m=0,S=-1,_=1<<h,w=_-1,e===F2&&_>nP||e===oP&&_>rP)return 1;for(;;){N=u-m,s[c]+1<A?(C=0,P=s[c]):s[c]>=A?(C=L[s[c]-A],P=E[s[c]-A]):(C=32+64,P=0),g=1<<u-m,y=1<<p,d=y;do y-=g,i[x+(v>>m)+y]=N<<24|C<<16|P|0;while(y!==0);for(g=1<<u-1;v&g;)g>>=1;if(g!==0?(v&=g-1,v+=g):v=0,c++,--T[u]===0){if(u===f)break;u=t[n+s[c]]}if(u>h&&(v&w)!==S){for(m===0&&(m=h),x+=d,p=u-m,b=1<<p;p+m<f&&(b-=T[p+m],!(b<=0));)p++,b<<=1;if(_+=1<<p,e===F2&&_>nP||e===oP&&_>rP)return 1;S=v&w,i[S]=h<<24|p<<16|x-o|0}}return v!==0&&(i[x+v]=u-m<<24|64<<16|0),a.bits=h,0};var Sp=kie;const Pie=0,LD=1,$D=2,{Z_FINISH:sP,Z_BLOCK:Rie,Z_TREES:Ty,Z_OK:Ac,Z_STREAM_END:Oie,Z_NEED_DICT:Iie,Z_STREAM_ERROR:rs,Z_DATA_ERROR:FD,Z_MEM_ERROR:BD,Z_BUF_ERROR:Mie,Z_DEFLATED:aP}=xm,D_=16180,lP=16181,uP=16182,cP=16183,dP=16184,fP=16185,hP=16186,pP=16187,gP=16188,mP=16189,Vv=16190,Aa=16191,B2=16192,yP=16193,z2=16194,vP=16195,_P=16196,bP=16197,SP=16198,Ay=16199,ky=16200,wP=16201,xP=16202,CP=16203,EP=16204,TP=16205,U2=16206,AP=16207,kP=16208,Vn=16209,zD=16210,UD=16211,Nie=852,Die=592,Lie=15,$ie=Lie,PP=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function Fie(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Uc=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.mode<D_||t.mode>UD?1:0},jD=e=>{if(Uc(e))return rs;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=D_,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(Nie),t.distcode=t.distdyn=new Int32Array(Die),t.sane=1,t.back=-1,Ac},VD=e=>{if(Uc(e))return rs;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,jD(e)},GD=(e,t)=>{let n;if(Uc(e))return rs;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?rs:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,VD(e))},HD=(e,t)=>{if(!e)return rs;const n=new Fie;e.state=n,n.strm=e,n.window=null,n.mode=D_;const r=GD(e,t);return r!==Ac&&(e.state=null),r},Bie=e=>HD(e,$ie);let RP=!0,j2,V2;const zie=e=>{if(RP){j2=new Int32Array(512),V2=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(Sp(LD,e.lens,0,288,j2,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;Sp($D,e.lens,0,32,V2,0,e.work,{bits:5}),RP=!1}e.lencode=j2,e.lenbits=9,e.distcode=V2,e.distbits=5},qD=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new Uint8Array(o.wsize)),r>=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=i))),0},Uie=(e,t)=>{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,v,g,y,S,w,x,E;const A=new Uint8Array(4);let T,k;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Uc(e)||!e.output||!e.input&&e.avail_in!==0)return rs;n=e.state,n.mode===Aa&&(n.mode=B2),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,E=Ac;e:for(;;)switch(n.mode){case D_:if(n.wrap===0){n.mode=B2;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&2&&u===35615){n.wbits===0&&(n.wbits=15),n.check=0,A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0),u=0,c=0,n.mode=lP;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Vn;break}if((u&15)!==aP){e.msg="unknown compression method",n.mode=Vn;break}if(u>>>=4,c-=4,x=(u&15)+8,n.wbits===0&&(n.wbits=x),x>15||x>n.wbits){e.msg="invalid window size",n.mode=Vn;break}n.dmax=1<<n.wbits,n.flags=0,e.adler=n.check=1,n.mode=u&512?mP:Aa,u=0,c=0;break;case lP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.flags=u,(n.flags&255)!==aP){e.msg="unknown compression method",n.mode=Vn;break}if(n.flags&57344){e.msg="unknown header flags set",n.mode=Vn;break}n.head&&(n.head.text=u>>8&1),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0,n.mode=uP;case uP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.time=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,A[2]=u>>>16&255,A[3]=u>>>24&255,n.check=Qr(n.check,A,4,0)),u=0,c=0,n.mode=cP;case cP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.xflags=u&255,n.head.os=u>>8),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0,n.mode=dP;case dP:if(n.flags&1024){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length=u,n.head&&(n.head.extra_len=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=fP;case fP:if(n.flags&1024&&(h=n.length,h>a&&(h=a),h&&(n.head&&(x=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),x)),n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=hP;case hP:if(n.flags&2048){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.name+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=pP;case pP:if(n.flags&4096){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.comment+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.comment=null);n.mode=gP;case gP:if(n.flags&512){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.check&65535)){e.msg="header crc mismatch",n.mode=Vn;break}u=0,c=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=Aa;break;case mP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}e.adler=n.check=PP(u),u=0,c=0,n.mode=Vv;case Vv:if(n.havedict===0)return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Iie;e.adler=n.check=1,n.mode=Aa;case Aa:if(t===Rie||t===Ty)break e;case B2:if(n.last){u>>>=c&7,c-=c&7,n.mode=U2;break}for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}switch(n.last=u&1,u>>>=1,c-=1,u&3){case 0:n.mode=yP;break;case 1:if(zie(n),n.mode=Ay,t===Ty){u>>>=2,c-=2;break e}break;case 2:n.mode=_P;break;case 3:e.msg="invalid block type",n.mode=Vn}u>>>=2,c-=2;break;case yP:for(u>>>=c&7,c-=c&7;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if((u&65535)!==(u>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Vn;break}if(n.length=u&65535,u=0,c=0,n.mode=z2,t===Ty)break e;case z2:n.mode=vP;case vP:if(h=n.length,h){if(h>a&&(h=a),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),s),a-=h,o+=h,l-=h,s+=h,n.length-=h;break}n.mode=Aa;break;case _P:for(;c<14;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.nlen=(u&31)+257,u>>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Vn;break}n.have=0,n.mode=bP;case bP:for(;n.have<n.ncode;){for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.lens[L[n.have++]]=u&7,u>>>=3,c-=3}for(;n.have<19;)n.lens[L[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},E=Sp(Pie,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,E){e.msg="invalid code lengths set",n.mode=Vn;break}n.have=0,n.mode=SP;case SP:for(;n.have<n.nlen+n.ndist;){for(;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(g<16)u>>>=_,c-=_,n.lens[n.have++]=g;else{if(g===16){for(k=_+2;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(u>>>=_,c-=_,n.have===0){e.msg="invalid bit length repeat",n.mode=Vn;break}x=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(k=_+3;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=3+(u&7),u>>>=3,c-=3}else{for(k=_+7;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Vn;break}for(;h--;)n.lens[n.have++]=x}}if(n.mode===Vn)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Vn;break}if(n.lenbits=9,T={bits:n.lenbits},E=Sp(LD,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,E){e.msg="invalid literal/lengths set",n.mode=Vn;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},E=Sp($D,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,E){e.msg="invalid distances set",n.mode=Vn;break}if(n.mode=Ay,t===Ty)break e;case Ay:n.mode=ky;case ky:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,xie(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===Aa&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(v&&!(v&240)){for(y=_,S=v,w=g;b=n.lencode[w+((u&(1<<y+S)-1)>>y)],_=b>>>24,v=b>>>16&255,g=b&65535,!(y+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=y,c-=y,n.back+=y}if(u>>>=_,c-=_,n.back+=_,n.length=g,v===0){n.mode=TP;break}if(v&32){n.back=-1,n.mode=Aa;break}if(v&64){e.msg="invalid literal/length code",n.mode=Vn;break}n.extra=v&15,n.mode=wP;case wP:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=xP;case xP:for(;b=n.distcode[u&(1<<n.distbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(!(v&240)){for(y=_,S=v,w=g;b=n.distcode[w+((u&(1<<y+S)-1)>>y)],_=b>>>24,v=b>>>16&255,g=b&65535,!(y+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=y,c-=y,n.back+=y}if(u>>>=_,c-=_,n.back+=_,v&64){e.msg="invalid distance code",n.mode=Vn;break}n.offset=g,n.extra=v&15,n.mode=CP;case CP:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.offset+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Vn;break}n.mode=EP;case EP:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Vn;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=s-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[s++]=m[p++];while(--h);n.length===0&&(n.mode=ky);break;case TP:if(l===0)break e;i[s++]=n.length,l--,n.mode=ky;break;case U2:if(n.wrap){for(;c<32;){if(a===0)break e;a--,u|=r[o++]<<c,c+=8}if(f-=l,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Qr(n.check,i,f,s-f):wg(n.check,i,f,s-f)),f=l,n.wrap&4&&(n.flags?u:PP(u))!==n.check){e.msg="incorrect data check",n.mode=Vn;break}u=0,c=0}n.mode=AP;case AP:if(n.wrap&&n.flags){for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.total&4294967295)){e.msg="incorrect length check",n.mode=Vn;break}u=0,c=0}n.mode=kP;case kP:E=Oie;break e;case Vn:E=FD;break e;case zD:return BD;case UD:default:return rs}return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,(n.wsize||f!==e.avail_out&&n.mode<Vn&&(n.mode<U2||t!==sP))&&qD(e,e.output,e.next_out,f-e.avail_out),d-=e.avail_in,f-=e.avail_out,e.total_in+=d,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Qr(n.check,i,f,e.next_out-f):wg(n.check,i,f,e.next_out-f)),e.data_type=n.bits+(n.last?64:0)+(n.mode===Aa?128:0)+(n.mode===Ay||n.mode===z2?256:0),(d===0&&f===0||t===sP)&&E===Ac&&(E=Mie),E},jie=e=>{if(Uc(e))return rs;let t=e.state;return t.window&&(t.window=null),e.state=null,Ac},Vie=(e,t)=>{if(Uc(e))return rs;const n=e.state;return n.wrap&2?(n.head=t,t.done=!1,Ac):rs},Gie=(e,t)=>{const n=t.length;let r,i,o;return Uc(e)||(r=e.state,r.wrap!==0&&r.mode!==Vv)?rs:r.mode===Vv&&(i=1,i=wg(i,t,n,0),i!==r.check)?FD:(o=qD(e,t,n,n),o?(r.mode=zD,BD):(r.havedict=1,Ac))};var Hie=VD,qie=GD,Wie=jD,Kie=Bie,Xie=HD,Qie=Uie,Yie=jie,Zie=Vie,Jie=Gie,eoe="pako inflate (from Nodeca project)",za={inflateReset:Hie,inflateReset2:qie,inflateResetKeep:Wie,inflateInit:Kie,inflateInit2:Xie,inflate:Qie,inflateEnd:Yie,inflateGetHeader:Zie,inflateSetDictionary:Jie,inflateInfo:eoe};function toe(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}var noe=toe;const WD=Object.prototype.toString,{Z_NO_FLUSH:roe,Z_FINISH:ioe,Z_OK:Eg,Z_STREAM_END:G2,Z_NEED_DICT:H2,Z_STREAM_ERROR:ooe,Z_DATA_ERROR:OP,Z_MEM_ERROR:soe}=xm;function Em(e){this.options=N_.assign({chunkSize:1024*64,windowBits:15,to:""},e||{});const t=this.options;t.raw&&t.windowBits>=0&&t.windowBits<16&&(t.windowBits=-t.windowBits,t.windowBits===0&&(t.windowBits=-15)),t.windowBits>=0&&t.windowBits<16&&!(e&&e.windowBits)&&(t.windowBits+=32),t.windowBits>15&&t.windowBits<48&&(t.windowBits&15||(t.windowBits|=15)),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new ND,this.strm.avail_out=0;let n=za.inflateInit2(this.strm,t.windowBits);if(n!==Eg)throw new Error(If[n]);if(this.header=new noe,za.inflateGetHeader(this.strm,this.header),t.dictionary&&(typeof t.dictionary=="string"?t.dictionary=Cg.string2buf(t.dictionary):WD.call(t.dictionary)==="[object ArrayBuffer]"&&(t.dictionary=new Uint8Array(t.dictionary)),t.raw&&(n=za.inflateSetDictionary(this.strm,t.dictionary),n!==Eg)))throw new Error(If[n])}Em.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize,i=this.options.dictionary;let o,s,a;if(this.ended)return!1;for(t===~~t?s=t:s=t===!0?ioe:roe,WD.call(e)==="[object ArrayBuffer]"?n.input=new 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t=e.reducerPath,n=e.context,r=e.context.endpointDefinitions,i=e.mutationThunk,o=e.api,s=e.assertTagType,a=e.refetchQuery,l=o.internalActions.removeQueryResult,u=is(Tu(i),fm(i)),c=function(f,h){u(f)&&d(jL(f,"invalidatesTags",r,s),h),o.util.invalidateTags.match(f)&&d(UL(f.payload,void 0,void 0,void 0,void 0,s),h)};function d(f,h){var p=h.getState(),m=p[t],b=o.util.selectInvalidatedBy(p,f);n.batch(function(){for(var _,v=Array.from(b.values()),g=0,y=v;g<y.length;g++){var S=y[g].queryCacheKey,w=m.queries[S],x=(_=m.subscriptions[S])!=null?_:{};w&&(Object.keys(x).length===0?h.dispatch(l({queryCacheKey:S})):w.status!==Hn.uninitialized&&h.dispatch(a(w,S)))}})}return c},pue=function(e){var 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ut<"u"?ut:globalThis):function(W){return(vo||(vo=Promise.resolve())).then(W).catch(function(J){return setTimeout(function(){throw J},0)})};function si(W){for(var J=[],te=1;te<arguments.length;te++)J[te-1]=arguments[te];Object.assign.apply(Object,i([W],J))}var ml=y(Ih),Fo=Symbol(),Hr=function(){return{name:Fo,init:function(W,J,te){var le=J.baseQuery,re=J.reducerPath,De=J.serializeQueryArgs,ze=J.keepUnusedDataFor,rt=J.refetchOnMountOrArgChange,Oe=J.refetchOnFocus,Ue=J.refetchOnReconnect;(0,ml.enablePatches)();var Ae=function(Je){return Je};Object.assign(W,{reducerPath:re,endpoints:{},internalActions:{onOnline:U,onOffline:V,onFocus:I,onFocusLost:F},util:{}});var ne=function(Je){var tn=this,Wt=Je.reducerPath,Xn=Je.baseQuery,hr=Je.context.endpointDefinitions,li=Je.serializeQueryArgs,cn=Je.api,kt=function(ve,Xe){return S(tn,[ve,Xe],function(Le,Ce){var je,st,$e,_e,se,Se,ue,fe,be,Qe,Ge,Ee,wt,Dt=Ce.signal,Lt=Ce.abort,Qn=Ce.rejectWithValue,sr=Ce.fulfillWithValue,Rn=Ce.dispatch,_n=Ce.getState,Ui=Ce.extra;return r(this,function($){switch($.label){case 0:je=hr[Le.endpointName],$.label=1;case 1:return $.trys.push([1,8,,13]),st=_r,$e=void 0,_e={signal:Dt,abort:Lt,dispatch:Rn,getState:_n,extra:Ui,endpoint:Le.endpointName,type:Le.type,forced:Le.type==="query"?Ft(Le,_n()):void 0},(se=Le.type==="query"?Le[et]:void 0)?($e=se(),[3,6]):[3,2];case 2:return je.query?[4,Xn(je.query(Le.originalArgs),_e,je.extraOptions)]:[3,4];case 3:return $e=$.sent(),je.transformResponse&&(st=je.transformResponse),[3,6];case 4:return[4,je.queryFn(Le.originalArgs,_e,je.extraOptions,function(G){return Xn(G,_e,je.extraOptions)})];case 5:$e=$.sent(),$.label=6;case 6:if($e.error)throw new P($e.error,$e.meta);return Se=sr,[4,st($e.data,$e.meta,Le.originalArgs)];case 7:return[2,Se.apply(void 0,[$.sent(),(Ee={fulfilledTimeStamp:Date.now(),baseQueryMeta:$e.meta},Ee[Gt.SHOULD_AUTOBATCH]=!0,Ee)])];case 8:if(ue=$.sent(),!((fe=ue)instanceof P))return[3,12];be=_r,je.query&&je.transformErrorResponse&&(be=je.transformErrorResponse),$.label=9;case 9:return $.trys.push([9,11,,12]),Qe=Qn,[4,be(fe.value,fe.meta,Le.originalArgs)];case 10:return[2,Qe.apply(void 0,[$.sent(),(wt={baseQueryMeta:fe.meta},wt[Gt.SHOULD_AUTOBATCH]=!0,wt)])];case 11:return Ge=$.sent(),fe=Ge,[3,12];case 12:throw console.error(fe),fe;case 13:return[2]}})})};function Ft(ve,Xe){var Le,Ce,je,st,$e=(Ce=(Le=Xe[Wt])==null?void 0:Le.queries)==null?void 0:Ce[ve.queryCacheKey],_e=(je=Xe[Wt])==null?void 0:je.config.refetchOnMountOrArgChange,se=$e==null?void 0:$e.fulfilledTimeStamp,Se=(st=ve.forceRefetch)!=null?st:ve.subscribe&&_e;return!!Se&&(Se===!0||(Number(new Date)-Number(se))/1e3>=Se)}var dn=(0,Gt.createAsyncThunk)(Wt+"/executeQuery",kt,{getPendingMeta:function(){var ve;return(ve={startedTimeStamp:Date.now()})[Gt.SHOULD_AUTOBATCH]=!0,ve},condition:function(ve,Xe){var Le,Ce,je,st=(0,Xe.getState)(),$e=(Ce=(Le=st[Wt])==null?void 0:Le.queries)==null?void 0:Ce[ve.queryCacheKey],_e=$e==null?void 0:$e.fulfilledTimeStamp,se=ve.originalArgs,Se=$e==null?void 0:$e.originalArgs,ue=hr[ve.endpointName];return!(!Ne(ve)&&(($e==null?void 0:$e.status)==="pending"||!Ft(ve,st)&&(!ee(ue)||!((je=ue==null?void 0:ue.forceRefetch)!=null&&je.call(ue,{currentArg:se,previousArg:Se,endpointState:$e,state:st})))&&_e))},dispatchConditionRejection:!0}),Kt=(0,Gt.createAsyncThunk)(Wt+"/executeMutation",kt,{getPendingMeta:function(){var ve;return(ve={startedTimeStamp:Date.now()})[Gt.SHOULD_AUTOBATCH]=!0,ve}});function on(ve){return function(Xe){var Le,Ce;return((Ce=(Le=Xe==null?void 0:Xe.meta)==null?void 0:Le.arg)==null?void 0:Ce.endpointName)===ve}}return{queryThunk:dn,mutationThunk:Kt,prefetch:function(ve,Xe,Le){return function(Ce,je){var st=function(ue){return"force"in ue}(Le)&&Le.force,$e=function(ue){return"ifOlderThan"in ue}(Le)&&Le.ifOlderThan,_e=function(ue){return ue===void 0&&(ue=!0),cn.endpoints[ve].initiate(Xe,{forceRefetch:ue})},se=cn.endpoints[ve].select(Xe)(je());if(st)Ce(_e());else if($e){var Se=se==null?void 0:se.fulfilledTimeStamp;if(!Se)return void Ce(_e());(Number(new Date)-Number(new Date(Se)))/1e3>=$e&&Ce(_e())}else Ce(_e(!1))}},updateQueryData:function(ve,Xe,Le){return function(Ce,je){var st,$e,_e=cn.endpoints[ve].select(Xe)(je()),se={patches:[],inversePatches:[],undo:function(){return Ce(cn.util.patchQueryData(ve,Xe,se.inversePatches))}};if(_e.status===t.uninitialized)return se;if("data"in _e)if((0,Te.isDraftable)(_e.data)){var Se=(0,Te.produceWithPatches)(_e.data,Le),ue=Se[2];(st=se.patches).push.apply(st,Se[1]),($e=se.inversePatches).push.apply($e,ue)}else{var fe=Le(_e.data);se.patches.push({op:"replace",path:[],value:fe}),se.inversePatches.push({op:"replace",path:[],value:_e.data})}return Ce(cn.util.patchQueryData(ve,Xe,se.patches)),se}},upsertQueryData:function(ve,Xe,Le){return function(Ce){var je;return Ce(cn.endpoints[ve].initiate(Xe,((je={subscribe:!1,forceRefetch:!0})[et]=function(){return{data:Le}},je)))}},patchQueryData:function(ve,Xe,Le){return function(Ce){Ce(cn.internalActions.queryResultPatched({queryCacheKey:li({queryArgs:Xe,endpointDefinition:hr[ve],endpointName:ve}),patches:Le}))}},buildMatchThunkActions:function(ve,Xe){return{matchPending:(0,lt.isAllOf)((0,lt.isPending)(ve),on(Xe)),matchFulfilled:(0,lt.isAllOf)((0,lt.isFulfilled)(ve),on(Xe)),matchRejected:(0,lt.isAllOf)((0,lt.isRejected)(ve),on(Xe))}}}}({baseQuery:le,reducerPath:re,context:te,api:W,serializeQueryArgs:De}),ye=ne.queryThunk,We=ne.mutationThunk,Ke=ne.patchQueryData,it=ne.updateQueryData,ot=ne.upsertQueryData,ft=ne.prefetch,vt=ne.buildMatchThunkActions,St=function(Je){var tn=Je.reducerPath,Wt=Je.queryThunk,Xn=Je.mutationThunk,hr=Je.context,li=hr.endpointDefinitions,cn=hr.apiUid,kt=hr.extractRehydrationInfo,Ft=hr.hasRehydrationInfo,dn=Je.assertTagType,Kt=Je.config,on=(0,ae.createAction)(tn+"/resetApiState"),ve=(0,ae.createSlice)({name:tn+"/queries",initialState:jr,reducers:{removeQueryResult:{reducer:function(_e,se){delete _e[se.payload.queryCacheKey]},prepare:(0,ae.prepareAutoBatched)()},queryResultPatched:function(_e,se){var Se=se.payload,ue=Se.patches;An(_e,Se.queryCacheKey,function(fe){fe.data=(0,Ht.applyPatches)(fe.data,ue.concat())})}},extraReducers:function(_e){_e.addCase(Wt.pending,function(se,Se){var ue,fe=Se.meta,be=Se.meta.arg,Qe=Ne(be);(be.subscribe||Qe)&&(se[ue=be.queryCacheKey]!=null||(se[ue]={status:t.uninitialized,endpointName:be.endpointName})),An(se,be.queryCacheKey,function(Ge){Ge.status=t.pending,Ge.requestId=Qe&&Ge.requestId?Ge.requestId:fe.requestId,be.originalArgs!==void 0&&(Ge.originalArgs=be.originalArgs),Ge.startedTimeStamp=fe.startedTimeStamp})}).addCase(Wt.fulfilled,function(se,Se){var ue=Se.meta,fe=Se.payload;An(se,ue.arg.queryCacheKey,function(be){var Qe;if(be.requestId===ue.requestId||Ne(ue.arg)){var Ge=li[ue.arg.endpointName].merge;if(be.status=t.fulfilled,Ge)if(be.data!==void 0){var Ee=ue.fulfilledTimeStamp,wt=ue.arg,Dt=ue.baseQueryMeta,Lt=ue.requestId,Qn=(0,ae.createNextState)(be.data,function(sr){return Ge(sr,fe,{arg:wt.originalArgs,baseQueryMeta:Dt,fulfilledTimeStamp:Ee,requestId:Lt})});be.data=Qn}else be.data=fe;else be.data=(Qe=li[ue.arg.endpointName].structuralSharing)==null||Qe?E((0,vn.isDraft)(be.data)?(0,Ht.original)(be.data):be.data,fe):fe;delete be.error,be.fulfilledTimeStamp=ue.fulfilledTimeStamp}})}).addCase(Wt.rejected,function(se,Se){var ue=Se.meta,fe=ue.condition,be=ue.requestId,Qe=Se.error,Ge=Se.payload;An(se,ue.arg.queryCacheKey,function(Ee){if(!fe){if(Ee.requestId!==be)return;Ee.status=t.rejected,Ee.error=Ge??Qe}})}).addMatcher(Ft,function(se,Se){for(var ue=kt(Se).queries,fe=0,be=Object.entries(ue);fe<be.length;fe++){var Qe=be[fe],Ge=Qe[1];(Ge==null?void 0:Ge.status)!==t.fulfilled&&(Ge==null?void 0:Ge.status)!==t.rejected||(se[Qe[0]]=Ge)}})}}),Xe=(0,ae.createSlice)({name:tn+"/mutations",initialState:jr,reducers:{removeMutationResult:{reducer:function(_e,se){var Se=br(se.payload);Se in _e&&delete _e[Se]},prepare:(0,ae.prepareAutoBatched)()}},extraReducers:function(_e){_e.addCase(Xn.pending,function(se,Se){var ue=Se.meta,fe=ue.requestId,be=ue.arg,Qe=ue.startedTimeStamp;be.track&&(se[br(Se.meta)]={requestId:fe,status:t.pending,endpointName:be.endpointName,startedTimeStamp:Qe})}).addCase(Xn.fulfilled,function(se,Se){var ue=Se.payload,fe=Se.meta;fe.arg.track&&eo(se,fe,function(be){be.requestId===fe.requestId&&(be.status=t.fulfilled,be.data=ue,be.fulfilledTimeStamp=fe.fulfilledTimeStamp)})}).addCase(Xn.rejected,function(se,Se){var ue=Se.payload,fe=Se.error,be=Se.meta;be.arg.track&&eo(se,be,function(Qe){Qe.requestId===be.requestId&&(Qe.status=t.rejected,Qe.error=ue??fe)})}).addMatcher(Ft,function(se,Se){for(var ue=kt(Se).mutations,fe=0,be=Object.entries(ue);fe<be.length;fe++){var Qe=be[fe],Ge=Qe[0],Ee=Qe[1];(Ee==null?void 0:Ee.status)!==t.fulfilled&&(Ee==null?void 0:Ee.status)!==t.rejected||Ge===(Ee==null?void 0:Ee.requestId)||(se[Ge]=Ee)}})}}),Le=(0,ae.createSlice)({name:tn+"/invalidation",initialState:jr,reducers:{},extraReducers:function(_e){_e.addCase(ve.actions.removeQueryResult,function(se,Se){for(var ue=Se.payload.queryCacheKey,fe=0,be=Object.values(se);fe<be.length;fe++)for(var Qe=0,Ge=Object.values(be[fe]);Qe<Ge.length;Qe++){var Ee=Ge[Qe],wt=Ee.indexOf(ue);wt!==-1&&Ee.splice(wt,1)}}).addMatcher(Ft,function(se,Se){for(var ue,fe,be,Qe,Ge=kt(Se).provided,Ee=0,wt=Object.entries(Ge);Ee<wt.length;Ee++)for(var Dt=wt[Ee],Lt=Dt[0],Qn=0,sr=Object.entries(Dt[1]);Qn<sr.length;Qn++)for(var Rn=sr[Qn],_n=Rn[0],Ui=Rn[1],$=(Qe=(fe=(ue=se[Lt])!=null?ue:se[Lt]={})[be=_n||"__internal_without_id"])!=null?Qe:fe[be]=[],G=0,X=Ui;G<X.length;G++){var de=X[G];$.includes(de)||$.push(de)}}).addMatcher((0,ae.isAnyOf)((0,ae.isFulfilled)(Wt),(0,ae.isRejectedWithValue)(Wt)),function(se,Se){for(var ue,fe,be,Qe,Ge=Tn(Se,"providesTags",li,dn),Ee=Se.meta.arg.queryCacheKey,wt=0,Dt=Object.values(se);wt<Dt.length;wt++)for(var Lt=0,Qn=Object.values(Dt[wt]);Lt<Qn.length;Lt++){var sr=Qn[Lt],Rn=sr.indexOf(Ee);Rn!==-1&&sr.splice(Rn,1)}for(var _n=0,Ui=Ge;_n<Ui.length;_n++){var $=Ui[_n],G=$.type,X=$.id,de=(Qe=(fe=(ue=se[G])!=null?ue:se[G]={})[be=X||"__internal_without_id"])!=null?Qe:fe[be]=[];de.includes(Ee)||de.push(Ee)}})}}),Ce=(0,ae.createSlice)({name:tn+"/subscriptions",initialState:jr,reducers:{updateSubscriptionOptions:function(_e,se){},unsubscribeQueryResult:function(_e,se){},internal_probeSubscription:function(_e,se){}}}),je=(0,ae.createSlice)({name:tn+"/internalSubscriptions",initialState:jr,reducers:{subscriptionsUpdated:{reducer:function(_e,se){return(0,Ht.applyPatches)(_e,se.payload)},prepare:(0,ae.prepareAutoBatched)()}}}),st=(0,ae.createSlice)({name:tn+"/config",initialState:b({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},Kt),reducers:{middlewareRegistered:function(_e,se){_e.middlewareRegistered=_e.middlewareRegistered!=="conflict"&&cn===se.payload||"conflict"}},extraReducers:function(_e){_e.addCase(U,function(se){se.online=!0}).addCase(V,function(se){se.online=!1}).addCase(I,function(se){se.focused=!0}).addCase(F,function(se){se.focused=!1}).addMatcher(Ft,function(se){return b({},se)})}}),$e=(0,ae.combineReducers)({queries:ve.reducer,mutations:Xe.reducer,provided:Le.reducer,subscriptions:je.reducer,config:st.reducer});return{reducer:function(_e,se){return $e(on.match(se)?void 0:_e,se)},actions:_(b(b(b(b(b({},st.actions),ve.actions),Ce.actions),je.actions),Xe.actions),{unsubscribeMutationResult:Xe.actions.removeMutationResult,resetApiState:on})}}({context:te,queryThunk:ye,mutationThunk:We,reducerPath:re,assertTagType:Ae,config:{refetchOnFocus:Oe,refetchOnReconnect:Ue,refetchOnMountOrArgChange:rt,keepUnusedDataFor:ze,reducerPath:re}}),Jt=St.reducer,en=St.actions;si(W.util,{patchQueryData:Ke,updateQueryData:it,upsertQueryData:ot,prefetch:ft,resetApiState:en.resetApiState}),si(W.internalActions,en);var Ci=function(Je){var tn=Je.reducerPath,Wt=Je.queryThunk,Xn=Je.api,hr=Je.context,li=hr.apiUid,cn={invalidateTags:(0,Ea.createAction)(tn+"/invalidateTags")},kt=[Ir,Pn,Or,wr,xi,oi];return{middleware:function(dn){var Kt=!1,on=_(b({},Je),{internalState:{currentSubscriptions:{}},refetchQuery:Ft}),ve=kt.map(function(Ce){return Ce(on)}),Xe=function(Ce){var je=Ce.api,st=Ce.queryThunk,$e=Ce.internalState,_e=je.reducerPath+"/subscriptions",se=null,Se=!1,ue=je.internalActions,fe=ue.updateSubscriptionOptions,be=ue.unsubscribeQueryResult;return function(Qe,Ge){var Ee,wt;if(se||(se=JSON.parse(JSON.stringify($e.currentSubscriptions))),je.util.resetApiState.match(Qe))return se=$e.currentSubscriptions={},[!0,!1];if(je.internalActions.internal_probeSubscription.match(Qe)){var Dt=Qe.payload;return[!1,!!((Ee=$e.currentSubscriptions[Dt.queryCacheKey])!=null&&Ee[Dt.requestId])]}var Lt=function(Rn,_n){var Ui,$,G,X,de,_t,nn,bn,Ct;if(fe.match(_n)){var fn=_n.payload,ui=fn.queryCacheKey,jn=fn.requestId;return(Ui=Rn==null?void 0:Rn[ui])!=null&&Ui[jn]&&(Rn[ui][jn]=fn.options),!0}if(be.match(_n)){var yl=_n.payload;return jn=yl.requestId,Rn[ui=yl.queryCacheKey]&&delete Rn[ui][jn],!0}if(je.internalActions.removeQueryResult.match(_n))return delete Rn[_n.payload.queryCacheKey],!0;if(st.pending.match(_n)){var td=_n.meta;if(jn=td.requestId,(rd=td.arg).subscribe)return(vl=(G=Rn[$=rd.queryCacheKey])!=null?G:Rn[$]={})[jn]=(de=(X=rd.subscriptionOptions)!=null?X:vl[jn])!=null?de:{},!0}if(st.rejected.match(_n)){var vl,nd=_n.meta,rd=nd.arg;if(jn=nd.requestId,nd.condition&&rd.subscribe)return(vl=(nn=Rn[_t=rd.queryCacheKey])!=null?nn:Rn[_t]={})[jn]=(Ct=(bn=rd.subscriptionOptions)!=null?bn:vl[jn])!=null?Ct:{},!0}return!1}($e.currentSubscriptions,Qe);if(Lt){Se||(Bs(function(){var Rn=JSON.parse(JSON.stringify($e.currentSubscriptions)),_n=(0,hs.produceWithPatches)(se,function(){return Rn});Ge.next(je.internalActions.subscriptionsUpdated(_n[1])),se=Rn,Se=!1}),Se=!0);var Qn=!!((wt=Qe.type)!=null&&wt.startsWith(_e)),sr=st.rejected.match(Qe)&&Qe.meta.condition&&!!Qe.meta.arg.subscribe;return[!Qn&&!sr,!1]}return[!0,!1]}}(on),Le=function(Ce){var je=Ce.reducerPath,st=Ce.context,$e=Ce.refetchQuery,_e=Ce.internalState,se=Ce.api.internalActions.removeQueryResult;function Se(ue,fe){var be=ue.getState()[je],Qe=be.queries,Ge=_e.currentSubscriptions;st.batch(function(){for(var Ee=0,wt=Object.keys(Ge);Ee<wt.length;Ee++){var Dt=wt[Ee],Lt=Qe[Dt],Qn=Ge[Dt];Qn&&Lt&&(Object.values(Qn).some(function(sr){return sr[fe]===!0})||Object.values(Qn).every(function(sr){return sr[fe]===void 0})&&be.config[fe])&&(Object.keys(Qn).length===0?ue.dispatch(se({queryCacheKey:Dt})):Lt.status!==t.uninitialized&&ue.dispatch($e(Lt,Dt)))}})}return function(ue,fe){I.match(ue)&&Se(fe,"refetchOnFocus"),U.match(ue)&&Se(fe,"refetchOnReconnect")}}(on);return function(Ce){return function(je){Kt||(Kt=!0,dn.dispatch(Xn.internalActions.middlewareRegistered(li)));var st,$e=_(b({},dn),{next:Ce}),_e=dn.getState(),se=Xe(je,$e,_e),Se=se[1];if(st=se[0]?Ce(je):Se,dn.getState()[tn]&&(Le(je,$e,_e),function(be){return!!be&&typeof be.type=="string"&&be.type.startsWith(tn+"/")}(je)||hr.hasRehydrationInfo(je)))for(var ue=0,fe=ve;ue<fe.length;ue++)(0,fe[ue])(je,$e,_e);return st}}},actions:cn};function Ft(dn,Kt,on){return on===void 0&&(on={}),Wt(b({type:"query",endpointName:dn.endpointName,originalArgs:dn.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:Kt},on))}}({reducerPath:re,context:te,queryThunk:ye,mutationThunk:We,api:W,assertTagType:Ae}),_o=Ci.middleware;si(W.util,Ci.actions),si(W,{reducer:Jt,middleware:_o});var Ei=function(Je){var tn=Je.serializeQueryArgs,Wt=Je.reducerPath,Xn=function(kt){return kn},hr=function(kt){return un};return{buildQuerySelector:function(kt,Ft){return function(dn){var Kt=tn({queryArgs:dn,endpointDefinition:Ft,endpointName:kt});return(0,K.createSelector)(dn===or?Xn:function(on){var ve,Xe,Le;return(Le=(Xe=(ve=cn(on))==null?void 0:ve.queries)==null?void 0:Xe[Kt])!=null?Le:kn},li)}},buildMutationSelector:function(){return function(kt){var Ft,dn;return dn=typeof kt=="object"?(Ft=br(kt))!=null?Ft:or:kt,(0,K.createSelector)(dn===or?hr:function(Kt){var on,ve,Xe;return(Xe=(ve=(on=cn(Kt))==null?void 0:on.mutations)==null?void 0:ve[dn])!=null?Xe:un},li)}},selectInvalidatedBy:function(kt,Ft){for(var dn,Kt=kt[Wt],on=new Set,ve=0,Xe=Ft.map(ge);ve<Xe.length;ve++){var Le=Xe[ve],Ce=Kt.provided[Le.type];if(Ce)for(var je=0,st=(dn=Le.id!==void 0?Ce[Le.id]:w(Object.values(Ce)))!=null?dn:[];je<st.length;je++)on.add(st[je])}return w(Array.from(on.values()).map(function($e){var _e=Kt.queries[$e];return _e?[{queryCacheKey:$e,endpointName:_e.endpointName,originalArgs:_e.originalArgs}]:[]}))}};function li(kt){return b(b({},kt),{status:Ft=kt.status,isUninitialized:Ft===t.uninitialized,isLoading:Ft===t.pending,isSuccess:Ft===t.fulfilled,isError:Ft===t.rejected});var Ft}function cn(kt){return kt[Wt]}}({serializeQueryArgs:De,reducerPath:re}),fr=Ei.buildQuerySelector,ai=Ei.buildMutationSelector;si(W.util,{selectInvalidatedBy:Ei.selectInvalidatedBy});var Un=function(Je){var tn=Je.serializeQueryArgs,Wt=Je.queryThunk,Xn=Je.mutationThunk,hr=Je.api,li=Je.context,cn=new Map,kt=new Map,Ft=hr.internalActions,dn=Ft.unsubscribeQueryResult,Kt=Ft.removeMutationResult,on=Ft.updateSubscriptionOptions;return{buildInitiateQuery:function(ve,Xe){var Le=function(Ce,je){var st=je===void 0?{}:je,$e=st.subscribe,_e=$e===void 0||$e,se=st.forceRefetch,Se=st.subscriptionOptions,ue=st[et];return function(fe,be){var Qe,Ge,Ee=tn({queryArgs:Ce,endpointDefinition:Xe,endpointName:ve}),wt=Wt(((Qe={type:"query",subscribe:_e,forceRefetch:se,subscriptionOptions:Se,endpointName:ve,originalArgs:Ce,queryCacheKey:Ee})[et]=ue,Qe)),Dt=hr.endpoints[ve].select(Ce),Lt=fe(wt),Qn=Dt(be()),sr=Lt.requestId,Rn=Lt.abort,_n=Qn.requestId!==sr,Ui=(Ge=cn.get(fe))==null?void 0:Ge[Ee],$=function(){return Dt(be())},G=Object.assign(ue?Lt.then($):_n&&!Ui?Promise.resolve(Qn):Promise.all([Ui,Lt]).then($),{arg:Ce,requestId:sr,subscriptionOptions:Se,queryCacheKey:Ee,abort:Rn,unwrap:function(){return S(this,null,function(){var de;return r(this,function(_t){switch(_t.label){case 0:return[4,G];case 1:if((de=_t.sent()).isError)throw de.error;return[2,de.data]}})})},refetch:function(){return fe(Le(Ce,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){_e&&fe(dn({queryCacheKey:Ee,requestId:sr}))},updateSubscriptionOptions:function(de){G.subscriptionOptions=de,fe(on({endpointName:ve,requestId:sr,queryCacheKey:Ee,options:de}))}});if(!Ui&&!_n&&!ue){var X=cn.get(fe)||{};X[Ee]=G,cn.set(fe,X),G.then(function(){delete X[Ee],Object.keys(X).length||cn.delete(fe)})}return G}};return Le},buildInitiateMutation:function(ve){return function(Xe,Le){var Ce=Le===void 0?{}:Le,je=Ce.track,st=je===void 0||je,$e=Ce.fixedCacheKey;return function(_e,se){var Se=Xn({type:"mutation",endpointName:ve,originalArgs:Xe,track:st,fixedCacheKey:$e}),ue=_e(Se),fe=ue.requestId,be=ue.abort,Qe=ue.unwrap,Ge=ue.unwrap().then(function(Lt){return{data:Lt}}).catch(function(Lt){return{error:Lt}}),Ee=function(){_e(Kt({requestId:fe,fixedCacheKey:$e}))},wt=Object.assign(Ge,{arg:ue.arg,requestId:fe,abort:be,unwrap:Qe,unsubscribe:Ee,reset:Ee}),Dt=kt.get(_e)||{};return kt.set(_e,Dt),Dt[fe]=wt,wt.then(function(){delete Dt[fe],Object.keys(Dt).length||kt.delete(_e)}),$e&&(Dt[$e]=wt,wt.then(function(){Dt[$e]===wt&&(delete Dt[$e],Object.keys(Dt).length||kt.delete(_e))})),wt}}},getRunningQueryThunk:function(ve,Xe){return function(Le){var Ce,je=tn({queryArgs:Xe,endpointDefinition:li.endpointDefinitions[ve],endpointName:ve});return(Ce=cn.get(Le))==null?void 0:Ce[je]}},getRunningMutationThunk:function(ve,Xe){return function(Le){var Ce;return(Ce=kt.get(Le))==null?void 0:Ce[Xe]}},getRunningQueriesThunk:function(){return function(ve){return Object.values(cn.get(ve)||{}).filter(dt)}},getRunningMutationsThunk:function(){return function(ve){return Object.values(kt.get(ve)||{}).filter(dt)}},getRunningOperationPromises:function(){var ve=function(Xe){return Array.from(Xe.values()).flatMap(function(Le){return Le?Object.values(Le):[]})};return i(i([],ve(cn)),ve(kt)).filter(dt)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
-       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
-       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:ye,mutationThunk:We,api:W,serializeQueryArgs:De,context:te}),ro=Un.buildInitiateQuery,ps=Un.buildInitiateMutation;return si(W.util,{getRunningOperationPromises:Un.getRunningOperationPromises,getRunningOperationPromise:Un.removalWarning,getRunningMutationThunk:Un.getRunningMutationThunk,getRunningMutationsThunk:Un.getRunningMutationsThunk,getRunningQueryThunk:Un.getRunningQueryThunk,getRunningQueriesThunk:Un.getRunningQueriesThunk}),{name:Fo,injectEndpoint:function(Je,tn){var Wt,Xn=W;(Wt=Xn.endpoints)[Je]!=null||(Wt[Je]={}),ee(tn)?si(Xn.endpoints[Je],{name:Je,select:fr(Je,tn),initiate:ro(Je,tn)},vt(ye,Je)):tn.type===Q.mutation&&si(Xn.endpoints[Je],{name:Je,select:ai(),initiate:ps(Je)},vt(We,Je))}}}}},Ta=to(Hr())})(y$);m$.exports=y$;var jce=m$.exports;const he=gu.injectEndpoints({endpoints:e=>({listImages:e.query({query:t=>({url:wo(t),method:"GET"}),providesTags:(t,n,{board_id:r,categories:i})=>[{type:"ImageList",id:wo({board_id:r,categories:i})}],serializeQueryArgs:({queryArgs:t})=>{const{board_id:n,categories:r}=t;return wo({board_id:n,categories:r})},transformResponse(t){const{items:n}=t;return Mn.addMany(Mn.getInitialState(),n)},merge:(t,n)=>{Mn.addMany(t,i1.selectAll(n))},forceRefetch({currentArg:t,previousArg:n}){return(t==null?void 0:t.offset)!==(n==null?void 0:n.offset)},async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r;i1.selectAll(i).forEach(o=>{n(he.util.upsertQueryData("getImageDTO",o.image_name,o))})}catch{}},keepUnusedDataFor:86400}),getIntermediatesCount:e.query({query:()=>({url:wo({is_intermediate:!0})}),providesTags:["IntermediatesCount"],transformResponse:t=>t.total}),getImageDTO:e.query({query:t=>({url:`images/i/${t}`}),providesTags:(t,n,r)=>[{type:"Image",id:r}],keepUnusedDataFor:86400}),getImageMetadata:e.query({query:t=>({url:`images/i/${t}/metadata`}),providesTags:(t,n,r)=>[{type:"ImageMetadata",id:r}],keepUnusedDataFor:86400}),getImageMetadataFromFile:e.query({queryFn:async(t,n,r)=>{const i=Of.get(),o=yg.get(),a=await jce.fetchBaseQuery({baseUrl:"",prepareHeaders:u=>(i&&u.set("Authorization",`Bearer ${i}`),o&&u.set("project-id",o),u),responseHandler:async u=>await u.blob()})(t.image_url,n,r);return{data:await Vle(a.data)}},providesTags:(t,n,r)=>[{type:"ImageMetadataFromFile",id:r.image_name}],keepUnusedDataFor:86400}),clearIntermediates:e.mutation({query:()=>({url:"images/clear-intermediates",method:"POST"}),invalidatesTags:["IntermediatesCount"]}),deleteImage:e.mutation({query:({image_name:t})=>({url:`images/i/${t}`,method:"DELETE"}),invalidatesTags:(t,n,{board_id:r})=>[{type:"BoardImagesTotal",id:r??"none"},{type:"BoardAssetsTotal",id:r??"none"}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){const{image_name:i,board_id:o}=t,s={board_id:o??"none",categories:Bo(t)},a=n(he.util.updateQueryData("listImages",s,l=>{Mn.removeOne(l,i)}));try{await r}catch{a.undo()}}}),deleteImages:e.mutation({query:({imageDTOs:t})=>({url:"images/delete",method:"POST",body:{image_names:t.map(r=>r.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{var o;const i=(o=r[0])==null?void 0:o.board_id;return[{type:"BoardImagesTotal",id:i??"none"},{type:"BoardAssetsTotal",id:i??"none"}]},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,o=pE(t,"image_name");i.deleted_images.forEach(s=>{const a=o[s];if(a){const l={board_id:a.board_id??"none",categories:Bo(a)};n(he.util.updateQueryData("listImages",l,u=>{Mn.removeOne(u,s)}))}})}catch{}}}),changeImageIsIntermediate:e.mutation({query:({imageDTO:t,is_intermediate:n})=>({url:`images/i/${t.image_name}`,method:"PATCH",body:{is_intermediate:n}}),invalidatesTags:(t,n,{imageDTO:r})=>[{type:"BoardImagesTotal",id:r.board_id??"none"},{type:"BoardAssetsTotal",id:r.board_id??"none"}],async onQueryStarted({imageDTO:t,is_intermediate:n},{dispatch:r,queryFulfilled:i,getState:o}){const s=[];s.push(r(he.util.updateQueryData("getImageDTO",t.image_name,l=>{Object.assign(l,{is_intermediate:n})})));const a=Bo(t);if(n)s.push(r(he.util.updateQueryData("listImages",{board_id:t.board_id??"none",categories:a},l=>{Mn.removeOne(l,t.image_name)})));else{const l={board_id:t.board_id??"none",categories:a},u=he.endpoints.listImages.select(l)(o()),{data:c}=Kr.includes(t.image_category)?fi.endpoints.getBoardImagesTotal.select(t.board_id??"none")(o()):fi.endpoints.getBoardAssetsTotal.select(t.board_id??"none")(o()),d=u.data&&u.data.ids.length>=(c??0),f=Fu(u.data,t);(d||f)&&s.push(r(he.util.updateQueryData("listImages",l,h=>{Mn.upsertOne(h,t)})))}try{await i}catch{s.forEach(l=>l.undo())}}}),changeImageSessionId:e.mutation({query:({imageDTO:t,session_id:n})=>({url:`images/i/${t.image_name}`,method:"PATCH",body:{session_id:n}}),invalidatesTags:(t,n,{imageDTO:r})=>[{type:"BoardImagesTotal",id:r.board_id??"none"},{type:"BoardAssetsTotal",id:r.board_id??"none"}],async onQueryStarted({imageDTO:t,session_id:n},{dispatch:r,queryFulfilled:i}){const o=[];o.push(r(he.util.updateQueryData("getImageDTO",t.image_name,s=>{Object.assign(s,{session_id:n})})));try{await i}catch{o.forEach(s=>s.undo())}}}),starImages:e.mutation({query:({imageDTOs:t})=>({url:"images/star",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{if(r[0]){const i=Bo(r[0]),o=r[0].board_id;return[{type:"ImageList",id:wo({board_id:o,categories:i})}]}return[]},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,s=t.filter(u=>o.updated_image_names.includes(u.image_name));if(!s[0])return;const a=Bo(s[0]),l=s[0].board_id;s.forEach(u=>{const{image_name:c}=u;n(he.util.updateQueryData("getImageDTO",c,b=>{b.starred=!0}));const d={board_id:l??"none",categories:a},f=he.endpoints.listImages.select(d)(i()),{data:h}=Kr.includes(u.image_category)?fi.endpoints.getBoardImagesTotal.select(l??"none")(i()):fi.endpoints.getBoardAssetsTotal.select(l??"none")(i()),p=f.data&&f.data.ids.length>=(h??0),m=(h||0)>=xy?Fu(f.data,u):!0;(p||m)&&n(he.util.updateQueryData("listImages",d,b=>{Mn.upsertOne(b,{...u,starred:!0})}))})}catch{}}}),unstarImages:e.mutation({query:({imageDTOs:t})=>({url:"images/unstar",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{if(r[0]){const i=Bo(r[0]),o=r[0].board_id;return[{type:"ImageList",id:wo({board_id:o,categories:i})}]}return[]},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,s=t.filter(u=>o.updated_image_names.includes(u.image_name));if(!s[0])return;const a=Bo(s[0]),l=s[0].board_id;s.forEach(u=>{const{image_name:c}=u;n(he.util.updateQueryData("getImageDTO",c,b=>{b.starred=!1}));const d={board_id:l??"none",categories:a},f=he.endpoints.listImages.select(d)(i()),{data:h}=Kr.includes(u.image_category)?fi.endpoints.getBoardImagesTotal.select(l??"none")(i()):fi.endpoints.getBoardAssetsTotal.select(l??"none")(i()),p=f.data&&f.data.ids.length>=(h??0),m=(h||0)>=xy?Fu(f.data,u):!0;(p||m)&&n(he.util.updateQueryData("listImages",d,b=>{Mn.upsertOne(b,{...u,starred:!1})}))})}catch{}}}),uploadImage:e.mutation({query:({file:t,image_category:n,is_intermediate:r,session_id:i,board_id:o,crop_visible:s})=>{const a=new FormData;return a.append("file",t),{url:"images/upload",method:"POST",body:a,params:{image_category:n,is_intermediate:r,session_id:i,board_id:o==="none"?void 0:o,crop_visible:s}}},async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r;if(i.is_intermediate)return;n(he.util.upsertQueryData("getImageDTO",i.image_name,i));const o=Bo(i);n(he.util.updateQueryData("listImages",{board_id:i.board_id??"none",categories:o},s=>{Mn.addOne(s,i)})),n(he.util.invalidateTags([{type:"BoardImagesTotal",id:i.board_id??"none"},{type:"BoardAssetsTotal",id:i.board_id??"none"}]))}catch{}}}),deleteBoard:e.mutation({query:t=>({url:`boards/${t}`,method:"DELETE"}),invalidatesTags:()=>[{type:"Board",id:ht},{type:"ImageList",id:wo({board_id:"none",categories:Kr})},{type:"ImageList",id:wo({board_id:"none",categories:Ul})},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,{deleted_board_images:o}=i;o.forEach(l=>{n(he.util.updateQueryData("getImageDTO",l,u=>{u.board_id=void 0}))});const s=[{categories:Kr},{categories:Ul}],a=o.map(l=>({id:l,changes:{board_id:void 0}}));s.forEach(l=>{n(he.util.updateQueryData("listImages",l,u=>{Mn.updateMany(u,a)}))})}catch{}}}),deleteBoardAndImages:e.mutation({query:t=>({url:`boards/${t}`,method:"DELETE",params:{include_images:!0}}),invalidatesTags:()=>[{type:"Board",id:ht},{type:"ImageList",id:wo({board_id:"none",categories:Kr})},{type:"ImageList",id:wo({board_id:"none",categories:Ul})},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,{deleted_images:o}=i;[{categories:Kr},{categories:Ul}].forEach(a=>{n(he.util.updateQueryData("listImages",a,l=>{Mn.removeMany(l,o)}))})}catch{}}}),addImageToBoard:e.mutation({query:({board_id:t,imageDTO:n})=>{const{image_name:r}=n;return{url:"board_images/",method:"POST",body:{board_id:t,image_name:r}}},invalidatesTags:(t,n,{board_id:r,imageDTO:i})=>[{type:"Board",id:r},{type:"BoardImagesTotal",id:r},{type:"BoardAssetsTotal",id:r},{type:"BoardImagesTotal",id:i.board_id??"none"},{type:"BoardAssetsTotal",id:i.board_id??"none"}],async onQueryStarted({board_id:t,imageDTO:n},{dispatch:r,queryFulfilled:i,getState:o}){const s=[],a=Bo(n);if(s.push(r(he.util.updateQueryData("getImageDTO",n.image_name,l=>{l.board_id=t}))),!n.is_intermediate){s.push(r(he.util.updateQueryData("listImages",{board_id:n.board_id??"none",categories:a},h=>{Mn.removeOne(h,n.image_name)})));const l={board_id:t??"none",categories:a},u=he.endpoints.listImages.select(l)(o()),{data:c}=Kr.includes(n.image_category)?fi.endpoints.getBoardImagesTotal.select(n.board_id??"none")(o()):fi.endpoints.getBoardAssetsTotal.select(n.board_id??"none")(o()),d=u.data&&u.data.ids.length>=(c??0),f=Fu(u.data,n);(d||f)&&s.push(r(he.util.updateQueryData("listImages",l,h=>{Mn.addOne(h,n)})))}try{await i}catch{s.forEach(l=>l.undo())}}}),removeImageFromBoard:e.mutation({query:({imageDTO:t})=>{const{image_name:n}=t;return{url:"board_images/",method:"DELETE",body:{image_name:n}}},invalidatesTags:(t,n,{imageDTO:r})=>{const{board_id:i}=r;return[{type:"Board",id:i??"none"},{type:"BoardImagesTotal",id:i??"none"},{type:"BoardAssetsTotal",id:i??"none"},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}]},async onQueryStarted({imageDTO:t},{dispatch:n,queryFulfilled:r,getState:i}){const o=Bo(t),s=[];s.push(n(he.util.updateQueryData("getImageDTO",t.image_name,f=>{f.board_id=void 0}))),s.push(n(he.util.updateQueryData("listImages",{board_id:t.board_id??"none",categories:o},f=>{Mn.removeOne(f,t.image_name)})));const a={board_id:"none",categories:o},l=he.endpoints.listImages.select(a)(i()),{data:u}=Kr.includes(t.image_category)?fi.endpoints.getBoardImagesTotal.select(t.board_id??"none")(i()):fi.endpoints.getBoardAssetsTotal.select(t.board_id??"none")(i()),c=l.data&&l.data.ids.length>=(u??0),d=Fu(l.data,t);(c||d)&&s.push(n(he.util.updateQueryData("listImages",a,f=>{Mn.upsertOne(f,t)})));try{await r}catch{s.forEach(f=>f.undo())}}}),addImagesToBoard:e.mutation({query:({board_id:t,imageDTOs:n})=>({url:"board_images/batch",method:"POST",body:{image_names:n.map(r=>r.image_name),board_id:t}}),invalidatesTags:(t,n,{imageDTOs:r,board_id:i})=>{var s;const o=(s=r[0])==null?void 0:s.board_id;return[{type:"Board",id:i??"none"},{type:"BoardImagesTotal",id:i??"none"},{type:"BoardAssetsTotal",id:i??"none"},{type:"BoardImagesTotal",id:o??"none"},{type:"BoardAssetsTotal",id:o??"none"},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}]},async onQueryStarted({board_id:t,imageDTOs:n},{dispatch:r,queryFulfilled:i,getState:o}){try{const{data:s}=await i,{added_image_names:a}=s;a.forEach(l=>{r(he.util.updateQueryData("getImageDTO",l,_=>{_.board_id=t}));const u=n.find(_=>_.image_name===l);if(!u)return;const c=Bo(u),d=u.board_id;r(he.util.updateQueryData("listImages",{board_id:d??"none",categories:c},_=>{Mn.removeOne(_,u.image_name)}));const f={board_id:t,categories:c},h=he.endpoints.listImages.select(f)(o()),{data:p}=Kr.includes(u.image_category)?fi.endpoints.getBoardImagesTotal.select(t??"none")(o()):fi.endpoints.getBoardAssetsTotal.select(t??"none")(o()),m=h.data&&h.data.ids.length>=(p??0),b=(p||0)>=xy?Fu(h.data,u):!0;(m||b)&&r(he.util.updateQueryData("listImages",f,_=>{Mn.upsertOne(_,{...u,board_id:t})}))})}catch{}}}),removeImagesFromBoard:e.mutation({query:({imageDTOs:t})=>({url:"board_images/batch/delete",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{const i=[],o=[{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}];return t==null||t.removed_image_names.forEach(s=>{var l;const a=(l=r.find(u=>u.image_name===s))==null?void 0:l.board_id;!a||i.includes(a)||(o.push({type:"Board",id:a}),o.push({type:"BoardImagesTotal",id:a}),o.push({type:"BoardAssetsTotal",id:a}))}),o},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,{removed_image_names:s}=o;s.forEach(a=>{n(he.util.updateQueryData("getImageDTO",a,m=>{m.board_id=void 0}));const l=t.find(m=>m.image_name===a);if(!l)return;const u=Bo(l);n(he.util.updateQueryData("listImages",{board_id:l.board_id??"none",categories:u},m=>{Mn.removeOne(m,l.image_name)}));const 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0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!tye(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,c=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(c){const y=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${y}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${y}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const d=this.resolve(t,n);let f=d&&d.res;const h=d&&d.usedKey||s,p=d&&d.exactUsedKey||s,m=Object.prototype.toString.apply(f),b=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,v=!this.i18nFormat||this.i18nFormat.handleAsObject;if(v&&f&&(typeof f!="string"&&typeof f!="boolean"&&typeof f!="number")&&b.indexOf(m)<0&&!(typeof _=="string"&&m==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const y=this.options.returnedObjectHandler?this.options.returnedObjectHandler(h,f,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(d.res=y,d):y}if(o){const y=m==="[object Array]",S=y?[]:{},w=y?p:h;for(const x in f)if(Object.prototype.hasOwnProperty.call(f,x)){const E=`${w}${o}${x}`;S[x]=this.translate(E,{...n,joinArrays:!1,ns:a}),S[x]===E&&(S[x]=f[x])}f=S}}else if(v&&typeof _=="string"&&m==="[object Array]")f=f.join(_),f&&(f=this.extendTranslation(f,t,n,r));else{let y=!1,S=!1;const w=n.count!==void 0&&typeof n.count!="string",x=b1.hasDefaultValue(n),E=w?this.pluralResolver.getSuffix(u,n.count,n):"",A=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",T=n[`defaultValue${E}`]||n[`defaultValue${A}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(y=!0,f=T),this.isValidLookup(f)||(S=!0,f=s);const L=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&S?void 0:f,N=x&&T!==f&&this.options.updateMissing;if(S||y||N){if(this.logger.log(N?"updateKey":"missingKey",u,l,s,N?T:f),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let C=[];const P=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&P&&P[0])for(let B=0;B<P.length;B++)C.push(P[B]);else this.options.saveMissingTo==="all"?C=this.languageUtils.toResolveHierarchy(n.lng||this.language):C.push(n.lng||this.language);const D=(B,R,O)=>{const I=x&&O!==f?O:L;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,R,I,N,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,R,I,N,n),this.emit("missingKey",B,l,R,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?C.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(R=>{D([B],s+R,n[`defaultValue${R}`]||T)})}):D(C,s,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(S||y)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,y?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):s.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=wB.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(b=>{this.isValidLookup(r)||(a=b,!_8[`${m[0]}-${b}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(_8[`${m[0]}-${b}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(_=>{if(this.isValidLookup(r))return;s=_;const v=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(v,c,_,b,n);else{let y;f&&(y=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(v.push(c+y),n.ordinal&&y.indexOf(w)===0&&v.push(c+y.replace(w,this.options.pluralSeparator)),h&&v.push(c+S)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;v.push(x),f&&(v.push(x+y),n.ordinal&&y.indexOf(w)===0&&v.push(x+y.replace(w,this.options.pluralSeparator)),h&&v.push(x+S))}}let g;for(;g=v.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function pw(e){return e.charAt(0).toUpperCase()+e.slice(1)}class b8{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=na.create("languageUtils")}getScriptPartFromCode(t){if(t=_1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=_1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=pw(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=pw(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=pw(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let nye=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],rye={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const iye=["v1","v2","v3"],oye=["v4"],S8={zero:0,one:1,two:2,few:3,many:4,other:5};function sye(){const e={};return nye.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:rye[t.fc]}})}),e}class aye{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=na.create("pluralResolver"),(!this.options.compatibilityJSON||oye.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=sye()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(_1(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>S8[i]-S8[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!iye.includes(this.options.compatibilityJSON)}}function w8(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Yme(e,t,n);return!o&&i&&typeof n=="string"&&(o=v1(e,n,r),o===void 0&&(o=v1(t,n,r))),o}class lye{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=na.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Jme,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?hd(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?hd(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?hd(n.nestingPrefix):n.nestingPrefixEscaped||hd("$t("),this.nestingSuffix=n.nestingSuffix?hd(n.nestingSuffix):n.nestingSuffixEscaped||hd(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(p){return p.replace(/\$/g,"$$$$")}const c=p=>{if(p.indexOf(this.formatSeparator)<0){const v=w8(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(v,void 0,r,{...i,...n,interpolationkey:p}):v}const m=p.split(this.formatSeparator),b=m.shift().trim(),_=m.join(this.formatSeparator).trim();return this.format(w8(n,l,b,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:b})};this.resetRegExp();const d=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,f=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 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t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function pd(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(_1(i),o),t[s]=a),a(r)}}class cye{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=na.create("formatter"),this.options=t,this.formats={number:pd((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:pd((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:pd((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:pd((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:pd((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=pd(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=uye(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else 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0&&(l[d]=!0)))}),c||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{Qme(l.loaded,[o],s),dye(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const c=l.loaded[u];c.length&&c.forEach(d=>{a[u][d]===void 0&&(a[u][d]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,c)=>{if(this.readingCalls--,this.waitingReads.length>0){const d=this.waitingReads.shift();this.read(d.lng,d.ns,d.fcName,d.tried,d.wait,d.callback)}if(u&&c&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,c)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(c=>a(null,c)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>a(null,d)).catch(a):a(null,c)}catch(c){a(c)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function x8(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function C8(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Hy(){}function hye(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class $g extends Ob{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=C8(t),this.services={},this.logger=na,this.modules={external:[]},hye(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=x8();this.options={...i,...this.options,...C8(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?na.init(o(this.modules.logger),this.options):na.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=cye);const d=new b8(this.options);this.store=new v8(this.options.resources,this.options);const f=this.services;f.logger=na,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new aye(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new lye(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new fye(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.languageDetector&&(f.languageDetector=o(this.modules.languageDetector),f.languageDetector.init&&f.languageDetector.init(f,this.options.detection,this.options)),this.modules.i18nFormat&&(f.i18nFormat=o(this.modules.i18nFormat),f.i18nFormat.init&&f.i18nFormat.init(this)),this.translator=new b1(this.services,this.options),this.translator.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.external.forEach(h=>{h.init&&h.init(this)})}if(this.format=this.options.interpolation.format,r||(r=Hy),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const c=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);c.length>0&&c[0]!=="dev"&&(this.options.lng=c[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(c=>{this[c]=function(){return t.store[c](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(c=>{this[c]=function(){return t.store[c](...arguments),t}});const l=Fh(),u=()=>{const c=(d,f)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&wB.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Fh();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([s,a].concat(c))}else 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Look at Konva change log for more information.";o.prototype[u]=function(){t.Util.error(c);var d=this.attrs[s];return d===void 0?a:d},e.Factory.addSetter(o,s,l,function(){t.Util.error(c)}),e.Factory.addOverloadedGetterSetter(o,s)},backCompat(o,s){t.Util.each(s,function(a,l){var u=o.prototype[l],c=r+t.Util._capitalize(a),d=i+t.Util._capitalize(a);function f(){u.apply(this,arguments),t.Util.error('"'+a+'" method is deprecated and will be removed soon. Use ""'+l+'" instead.')}o.prototype[a]=f,o.prototype[c]=f,o.prototype[d]=f})},afterSetFilter(){this._filterUpToDate=!1}}})(xt);var Os={},Xa={};Object.defineProperty(Xa,"__esModule",{value:!0});Xa.HitContext=Xa.SceneContext=Xa.Context=void 0;const GB=ir,K0e=Et;function X0e(e){var t=[],n=e.length,r=GB.Util,i,o;for(i=0;i<n;i++)o=e[i],r._isNumber(o)?o=Math.round(o*1e3)/1e3:r._isString(o)||(o=o+""),t.push(o);return t}var N8=",",Q0e="(",Y0e=")",Z0e="([",J0e="])",eve=";",tve="()",nve="=",D8=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],rve=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const ive=100;class Lb{constructor(t){this.canvas=t,K0e.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",s,a,l,u;for(s=0;s<i;s++)a=r[s],l=a.method,l?(u=a.args,o+=l,t?o+=tve:GB.Util._isArray(u[0])?o+=Z0e+u.join(N8)+J0e:(n&&(u=u.map(c=>typeof c=="number"?Math.floor(c):c)),o+=Q0e+u.join(N8)+Y0e)):(o+=a.property,t||(o+=nve+a.val)),o+=eve;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=ive&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=D8.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=X0e(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;i<n;i++)s(D8[i]);t.setAttr=function(){r.apply(t,arguments);var a=arguments[0],l=arguments[1];(a==="shadowOffsetX"||a==="shadowOffsetY"||a==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:a,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}Xa.Context=Lb;rve.forEach(function(e){Object.defineProperty(Lb.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class ove extends Lb{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),c=l.x*u,d=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(c),Math.abs(d))),this.setAttr("shadowOffsetX",a.x*c),this.setAttr("shadowOffsetY",a.y*d)}}Xa.SceneContext=ove;class sve extends Lb{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}Xa.HitContext=sve;Object.defineProperty(Os,"__esModule",{value:!0});Os.HitCanvas=Os.SceneCanvas=Os.Canvas=void 0;const x1=ir,HB=Xa,qB=Et,ave=xt,lve=He;var qy;function uve(){if(qy)return qy;var e=x1.Util.createCanvasElement(),t=e.getContext("2d");return qy=function(){var n=qB.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),x1.Util.releaseCanvas(e),qy}class $b{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||qB.Konva.pixelRatio||uve();this.pixelRatio=r,this._canvas=x1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return x1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Os.Canvas=$b;ave.Factory.addGetterSetter($b,"pixelRatio",void 0,(0,lve.getNumberValidator)());class cve extends $b{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new HB.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Os.SceneCanvas=cve;class dve extends $b{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new HB.HitContext(this),this.setSize(t.width,t.height)}}Os.HitCanvas=dve;var Fb={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Et,n=ir;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=a.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(Fb);Object.defineProperty(Kn,"__esModule",{value:!0});Kn.Node=void 0;const Pt=ir,$m=xt,Wy=Os,zu=Et,Uo=Fb,yr=He;var F0="absoluteOpacity",Ky="allEventListeners",Na="absoluteTransform",L8="absoluteScale",Uu="canvas",fve="Change",hve="children",pve="konva",QC="listening",$8="mouseenter",F8="mouseleave",B8="set",z8="Shape",B0=" ",U8="stage",Cl="transform",gve="Stage",YC="visible",mve=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(B0);let yve=1;class at{constructor(t){this._id=yve++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===Cl||t===Na)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===Cl||t===Na,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(B0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Uu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===Na&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Uu)){const{scene:t,filter:n,hit:r}=this._cache.get(Uu);Pt.Util.releaseCanvas(t,n,r),this._cache.delete(Uu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){Pt.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Wy.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Wy.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Wy.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Uu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(F0),this._clearSelfAndDescendantCache(L8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(Uu,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Uu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){Pt.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(d){Pt.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Ky),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(B0),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(B0),i=r.length,o,s,a,l,u,c;if(this._cache&&this._cache.delete(Ky),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(s in this.eventListeners)this._off(s,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=Pt.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),Uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(Na),this._clearSelfAndDescendantCache(F0),this._clearSelfAndDescendantCache(L8),this._clearSelfAndDescendantCache(U8),this._clearSelfAndDescendantCache(YC),this._clearSelfAndDescendantCache(QC)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+Pt.Util._capitalize(t);return Pt.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==hve&&(r=B8+Pt.Util._capitalize(n),Pt.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(QC,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(YC,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;Uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!zu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==z8&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==gve&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(Cl),this._clearSelfAndDescendantCache(Na)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new Pt.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(Cl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(Cl),this._clearSelfAndDescendantCache(Na),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return Pt.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&Pt.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(F0,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=Pt.Util.isObject(i)&&!Pt.Util._isPlainObject(i)&&!Pt.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),Pt.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],Pt.Util.isValidSelector(o)||(Pt.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),Pt.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),Pt.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(U8,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(Na,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new Pt.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(Na)||new Pt.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(Cl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(Cl)||new Pt.Transform;r.reset();var i=this.x(),o=this.y(),s=zu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||c!==0)&&r.skew(u,c),(a!==1||l!==1)&&r.scale(a,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=Pt.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(pve)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new Wy.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,Pt.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():zu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+fve,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[B8+Pt.Util._capitalize(t)];return Pt.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(zu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!Pt.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===z8&&(n.target=this);var i=(t===$8||t===F8)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===$8||t===F8)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Ky))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(Ky,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;Uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){Uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=Uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:Pt.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=Uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),Uo.DD._endDragBefore(t),Uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=Uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||zu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;Uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=Uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&Uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return Pt.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return Pt.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=at.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),zu.Konva[r]||(Pt.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=zu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(at._createNode(i[a]));return o}}Kn.Node=at;at.prototype.nodeType="Node";at.prototype._attrsAffectingSize=[];at.prototype.eventListeners={};at.prototype.on.call(at.prototype,mve,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(Cl),this._clearSelfAndDescendantCache(Na)});at.prototype.on.call(at.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(YC)});at.prototype.on.call(at.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(QC)});at.prototype.on.call(at.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(F0)});const Sn=$m.Factory.addGetterSetter;Sn(at,"zIndex");Sn(at,"absolutePosition");Sn(at,"position");Sn(at,"x",0,(0,yr.getNumberValidator)());Sn(at,"y",0,(0,yr.getNumberValidator)());Sn(at,"globalCompositeOperation","source-over",(0,yr.getStringValidator)());Sn(at,"opacity",1,(0,yr.getNumberValidator)());Sn(at,"name","",(0,yr.getStringValidator)());Sn(at,"id","",(0,yr.getStringValidator)());Sn(at,"rotation",0,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"scale",["x","y"]);Sn(at,"scaleX",1,(0,yr.getNumberValidator)());Sn(at,"scaleY",1,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"skew",["x","y"]);Sn(at,"skewX",0,(0,yr.getNumberValidator)());Sn(at,"skewY",0,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"offset",["x","y"]);Sn(at,"offsetX",0,(0,yr.getNumberValidator)());Sn(at,"offsetY",0,(0,yr.getNumberValidator)());Sn(at,"dragDistance",null,(0,yr.getNumberValidator)());Sn(at,"width",0,(0,yr.getNumberValidator)());Sn(at,"height",0,(0,yr.getNumberValidator)());Sn(at,"listening",!0,(0,yr.getBooleanValidator)());Sn(at,"preventDefault",!0,(0,yr.getBooleanValidator)());Sn(at,"filters",null,function(e){return this._filterUpToDate=!1,e});Sn(at,"visible",!0,(0,yr.getBooleanValidator)());Sn(at,"transformsEnabled","all",(0,yr.getStringValidator)());Sn(at,"size");Sn(at,"dragBoundFunc");Sn(at,"draggable",!1,(0,yr.getBooleanValidator)());$m.Factory.backCompat(at,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var Vc={};Object.defineProperty(Vc,"__esModule",{value:!0});Vc.Container=void 0;const ah=xt,vw=Kn,Bb=He;class Gc extends vw.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=vw.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=vw.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(b){b[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}Vc.Container=Gc;ah.Factory.addComponentsGetterSetter(Gc,"clip",["x","y","width","height"]);ah.Factory.addGetterSetter(Gc,"clipX",void 0,(0,Bb.getNumberValidator)());ah.Factory.addGetterSetter(Gc,"clipY",void 0,(0,Bb.getNumberValidator)());ah.Factory.addGetterSetter(Gc,"clipWidth",void 0,(0,Bb.getNumberValidator)());ah.Factory.addGetterSetter(Gc,"clipHeight",void 0,(0,Bb.getNumberValidator)());ah.Factory.addGetterSetter(Gc,"clipFunc");var WB={},Eo={};Object.defineProperty(Eo,"__esModule",{value:!0});Eo.releaseCapture=Eo.setPointerCapture=Eo.hasPointerCapture=Eo.createEvent=Eo.getCapturedShape=void 0;const vve=Et,Bg=new Map,KB=vve.Konva._global.PointerEvent!==void 0;function _ve(e){return Bg.get(e)}Eo.getCapturedShape=_ve;function yT(e){return{evt:e,pointerId:e.pointerId}}Eo.createEvent=yT;function bve(e,t){return Bg.get(e)===t}Eo.hasPointerCapture=bve;function Sve(e,t){XB(e),t.getStage()&&(Bg.set(e,t),KB&&t._fire("gotpointercapture",yT(new PointerEvent("gotpointercapture"))))}Eo.setPointerCapture=Sve;function XB(e,t){const n=Bg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Bg.delete(e),KB&&n._fire("lostpointercapture",yT(new PointerEvent("lostpointercapture")))}Eo.releaseCapture=XB;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=ir,n=xt,r=Vc,i=Et,o=Os,s=Fb,a=Et,l=Eo;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",b="mousemove",_="mousedown",v="mouseup",g="pointermove",y="pointerdown",S="pointerup",w="pointercancel",x="lostpointercapture",E="pointerout",A="pointerleave",T="pointerover",k="pointerenter",L="contextmenu",N="touchstart",C="touchend",P="touchmove",D="touchcancel",B="wheel",R=5,O=[[m,"_pointerenter"],[_,"_pointerdown"],[b,"_pointermove"],[v,"_pointerup"],[h,"_pointerleave"],[N,"_pointerdown"],[P,"_pointermove"],[C,"_pointerup"],[D,"_pointercancel"],[p,"_pointerover"],[B,"_wheel"],[L,"_contextmenu"],[y,"_pointerdown"],[g,"_pointermove"],[S,"_pointerup"],[w,"_pointercancel"],[x,"_lostpointercapture"]];const I={mouse:{[E]:f,[A]:h,[T]:p,[k]:m,[g]:b,[y]:_,[S]:v,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[E]:"touchout",[A]:"touchleave",[T]:"touchover",[k]:"touchenter",[g]:P,[y]:N,[S]:C,[w]:D,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[E]:E,[A]:A,[T]:T,[k]:k,[g]:g,[y]:y,[S]:S,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},F=Q=>Q.indexOf("pointer")>=0?"pointer":Q.indexOf("touch")>=0?"touch":"mouse",U=Q=>{const j=F(Q);if(j==="pointer")return i.Konva.pointerEventsEnabled&&I.pointer;if(j==="touch")return I.touch;if(j==="mouse")return I.mouse};function V(Q={}){return(Q.clipFunc||Q.clipWidth||Q.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Q}const H="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class Y extends r.Container{constructor(j){super(V(j)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(j){const K=j.getType()==="Layer",ee=j.getType()==="FastLayer";K||ee||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var K=j.slice(1);j=document.getElementsByClassName(K)[0]}else{var ee;j.charAt(0)!=="#"?ee=j:ee=j.slice(1),j=document.getElementById(ee)}if(!j)throw"Can not find container in document with id "+ee}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,K=j.length,ee;for(ee=0;ee<K;ee++)j[ee].clear();return this}clone(j){return j||(j={}),j.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,j)}destroy(){super.destroy();var j=this.content;j&&t.Util._isInDocument(j)&&this.container().removeChild(j);var K=e.stages.indexOf(this);return K>-1&&e.stages.splice(K,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(H),null)}_getPointerById(j){return this._pointerPositions.find(K=>K.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var K=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),ee=K.getContext()._context,ie=this.children;return(j.x||j.y)&&ee.translate(-1*j.x,-1*j.y),ie.forEach(function(ge){if(ge.isVisible()){var ae=ge._toKonvaCanvas(j);ee.drawImage(ae._canvas,j.x,j.y,ae.getWidth()/ae.getPixelRatio(),ae.getHeight()/ae.getPixelRatio())}}),K}getIntersection(j){if(!j)return null;var K=this.children,ee=K.length,ie=ee-1,ge;for(ge=ie;ge>=0;ge--){const ae=K[ge].getIntersection(j);if(ae)return ae}return null}_resizeDOM(){var j=this.width(),K=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=K+d),this.bufferCanvas.setSize(j,K),this.bufferHitCanvas.setSize(j,K),this.children.forEach(ee=>{ee.setSize({width:j,height:K}),ee.draw()})}add(j,...K){if(arguments.length>1){for(var ee=0;ee<arguments.length;ee++)this.add(arguments[ee]);return this}super.add(j);var ie=this.children.length;return ie>R&&t.Util.warn("The stage has "+ie+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&O.forEach(([j,K])=>{this.content.addEventListener(j,ee=>{this[K](ee)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let K=this[j+"targetShape"];return K&&!K.getStage()&&(K=null),K}_pointerleave(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=this._getTargetShape(ee),ge=!s.DD.isDragging||i.Konva.hitOnDragEnabled;ie&&ge?(ie._fireAndBubble(K.pointerout,{evt:j}),ie._fireAndBubble(K.pointerleave,{evt:j}),this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this[ee+"targetShape"]=null):ge&&(this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(K.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=!1;this._changedPointerPositions.forEach(ge=>{var ae=this.getIntersection(ge);if(s.DD.justDragged=!1,i.Konva["_"+ee+"ListenClick"]=!0,!(ae&&ae.isListening()))return;i.Konva.capturePointerEventsEnabled&&ae.setPointerCapture(ge.id),this[ee+"ClickStartShape"]=ae,ae._fireAndBubble(K.pointerdown,{evt:j,pointerId:ge.id}),ie=!0;const et=j.type.indexOf("touch")>=0;ae.preventDefault()&&j.cancelable&&et&&j.preventDefault()}),ie||this._fire(K.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const K=U(j.type),ee=F(j.type);if(!K)return;s.DD.isDragging&&s.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var ie=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!ie)return;var ge={};let ae=!1;var dt=this._getTargetShape(ee);this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et),lt=et.id,Te={evt:j,pointerId:lt};var Gt=dt!==Ne;if(Gt&&dt&&(dt._fireAndBubble(K.pointerout,Object.assign({},Te),Ne),dt._fireAndBubble(K.pointerleave,Object.assign({},Te),Ne)),Ne){if(ge[Ne._id])return;ge[Ne._id]=!0}Ne&&Ne.isListening()?(ae=!0,Gt&&(Ne._fireAndBubble(K.pointerover,Object.assign({},Te),dt),Ne._fireAndBubble(K.pointerenter,Object.assign({},Te),dt),this[ee+"targetShape"]=Ne),Ne._fireAndBubble(K.pointermove,Object.assign({},Te))):dt&&(this._fire(K.pointerover,{evt:j,target:this,currentTarget:this,pointerId:lt}),this[ee+"targetShape"]=null)}),ae||this._fire(K.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const K=U(j.type),ee=F(j.type);if(!K)return;this.setPointersPositions(j);const ie=this[ee+"ClickStartShape"],ge=this[ee+"ClickEndShape"];var ae={};let dt=!1;this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et);if(Ne){if(Ne.releaseCapture(et.id),ae[Ne._id])return;ae[Ne._id]=!0}const lt=et.id,Te={evt:j,pointerId:lt};let Gt=!1;i.Konva["_"+ee+"InDblClickWindow"]?(Gt=!0,clearTimeout(this[ee+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+ee+"InDblClickWindow"]=!0,clearTimeout(this[ee+"DblTimeout"])),this[ee+"DblTimeout"]=setTimeout(function(){i.Konva["_"+ee+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ne&&Ne.isListening()?(dt=!0,this[ee+"ClickEndShape"]=Ne,Ne._fireAndBubble(K.pointerup,Object.assign({},Te)),i.Konva["_"+ee+"ListenClick"]&&ie&&ie===Ne&&(Ne._fireAndBubble(K.pointerclick,Object.assign({},Te)),Gt&&ge&&ge===Ne&&Ne._fireAndBubble(K.pointerdblclick,Object.assign({},Te)))):(this[ee+"ClickEndShape"]=null,i.Konva["_"+ee+"ListenClick"]&&this._fire(K.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:lt}),Gt&&this._fire(K.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:lt}))}),dt||this._fire(K.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+ee+"ListenClick"]=!1,j.cancelable&&ee!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(B,{evt:j}):this._fire(B,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const K=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());K&&K._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var K=this._getContentPosition(),ee=null,ie=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,ge=>{this._pointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,ge=>{this._changedPointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})})):(ee=(j.clientX-K.left)/K.scaleX,ie=(j.clientY-K.top)/K.scaleY,this.pointerPos={x:ee,y:ie},this._pointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var j=this.container();if(!j)throw"Stage has no container. A container is required.";j.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),j.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(j){j.batchDraw()}),this}}e.Stage=Y,Y.prototype.nodeType=u,(0,a._registerNode)(Y),n.Factory.addGetterSetter(Y,"container")})(WB);var Fm={},zr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Et,n=ir,r=xt,i=Kn,o=He,s=Et,a=Eo;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function v(A){A.stroke()}function g(){this._clearCache(l)}function y(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class E extends i.Node{constructor(T){super(T);let k;for(;k=n.Util.getRandomColor(),!(k&&!(k in e.shapes)););this.colorKey=k,e.shapes[k]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const k=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(k&&k.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const N=L.getMatrix(),C=typeof DOMMatrix>"u"?{a:N[0],b:N[1],c:N[2],d:N[3],e:N[4],f:N[5]}:new DOMMatrix(N);k.setTransform(C)}return k}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var k=p(),L=this.fillLinearGradientStartPoint(),N=this.fillLinearGradientEndPoint(),C=k.createLinearGradient(L.x,L.y,N.x,N.y),P=0;P<T.length;P+=2)C.addColorStop(T[P],T[P+1]);return C}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var T=this.fillRadialGradientColorStops();if(T){for(var k=p(),L=this.fillRadialGradientStartPoint(),N=this.fillRadialGradientEndPoint(),C=k.createRadialGradient(L.x,L.y,this.fillRadialGradientStartRadius(),N.x,N.y,this.fillRadialGradientEndRadius()),P=0;P<T.length;P+=2)C.addColorStop(T[P],T[P+1]);return C}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var T=n.Util.colorToRGBA(this.shadowColor());if(T)return"rgba("+T.r+","+T.g+","+T.b+","+T.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var k=this.getStage(),L=k.bufferHitCanvas,N;return L.getContext().clear(),this.drawHit(L,null,!0),N=L.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,N[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var k;if(!this.getStage()||!((k=this.attrs.perfectDrawEnabled)!==null&&k!==void 0?k:!0))return!1;const N=T||this.hasFill(),C=this.hasStroke(),P=this.getAbsoluteOpacity()!==1;if(N&&C&&P)return!0;const D=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(N&&C&&D&&B)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const k=T.skipTransform,L=T.relativeTo,N=this.getSelfRect(),P=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=N.width+P,B=N.height+P,R=!T.skipShadow&&this.hasShadow(),O=R?this.shadowOffsetX():0,I=R?this.shadowOffsetY():0,F=D+Math.abs(O),U=B+Math.abs(I),V=R&&this.shadowBlur()||0,H=F+V*2,Y=U+V*2,Q={width:H,height:Y,x:-(P/2+V)+Math.min(O,0)+N.x,y:-(P/2+V)+Math.min(I,0)+N.y};return k?Q:this._transformedRect(Q,L)}drawScene(T,k){var L=this.getLayer(),N=T||L.getCanvas(),C=N.getContext(),P=this._getCanvasCache(),D=this.getSceneFunc(),B=this.hasShadow(),R,O,I,F=N.isCache,U=k===this;if(!this.isVisible()&&!U)return this;if(P){C.save();var V=this.getAbsoluteTransform(k).getMatrix();return C.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(C),C.restore(),this}if(!D)return this;if(C.save(),this._useBufferCanvas()&&!F){R=this.getStage(),O=R.bufferCanvas,I=O.getContext(),I.clear(),I.save(),I._applyLineJoin(this);var H=this.getAbsoluteTransform(k).getMatrix();I.transform(H[0],H[1],H[2],H[3],H[4],H[5]),D.call(this,I,this),I.restore();var Y=O.pixelRatio;B&&C._applyShadow(this),C._applyOpacity(this),C._applyGlobalCompositeOperation(this),C.drawImage(O._canvas,0,0,O.width/Y,O.height/Y)}else{if(C._applyLineJoin(this),!U){var H=this.getAbsoluteTransform(k).getMatrix();C.transform(H[0],H[1],H[2],H[3],H[4],H[5]),C._applyOpacity(this),C._applyGlobalCompositeOperation(this)}B&&C._applyShadow(this),D.call(this,C,this)}return C.restore(),this}drawHit(T,k,L=!1){if(!this.shouldDrawHit(k,L))return this;var N=this.getLayer(),C=T||N.hitCanvas,P=C&&C.getContext(),D=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),R=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),R){P.save();var O=this.getAbsoluteTransform(k).getMatrix();return P.transform(O[0],O[1],O[2],O[3],O[4],O[5]),this._drawCachedHitCanvas(P),P.restore(),this}if(!D)return this;if(P.save(),P._applyLineJoin(this),!(this===k)){var F=this.getAbsoluteTransform(k).getMatrix();P.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return D.call(this,P,this),P.restore(),this}drawHitFromCache(T=0){var k=this._getCanvasCache(),L=this._getCachedSceneCanvas(),N=k.hit,C=N.getContext(),P=N.getWidth(),D=N.getHeight(),B,R,O,I,F,U;C.clear(),C.drawImage(L._canvas,0,0,P,D);try{for(B=C.getImageData(0,0,P,D),R=B.data,O=R.length,I=n.Util._hexToRgb(this.colorKey),F=0;F<O;F+=4)U=R[F+3],U>T?(R[F]=I.r,R[F+1]=I.g,R[F+2]=I.b,R[F+3]=255):R[F+3]=0;C.putImageData(B,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=E,E.prototype._fillFunc=m,E.prototype._strokeFunc=b,E.prototype._fillFuncHit=_,E.prototype._strokeFuncHit=v,E.prototype._centroid=!1,E.prototype.nodeType="Shape",(0,s._registerNode)(E),E.prototype.eventListeners={},E.prototype.on.call(E.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),E.prototype.on.call(E.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(E,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(E,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(E,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(E,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"lineJoin"),r.Factory.addGetterSetter(E,"lineCap"),r.Factory.addGetterSetter(E,"sceneFunc"),r.Factory.addGetterSetter(E,"hitFunc"),r.Factory.addGetterSetter(E,"dash"),r.Factory.addGetterSetter(E,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(E,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(E,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternImage"),r.Factory.addGetterSetter(E,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(E,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(E,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(E,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(E,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(E,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(E,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(E,"fillEnabled",!0),r.Factory.addGetterSetter(E,"strokeEnabled",!0),r.Factory.addGetterSetter(E,"shadowEnabled",!0),r.Factory.addGetterSetter(E,"dashEnabled",!0),r.Factory.addGetterSetter(E,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(E,"fillPriority","color"),r.Factory.addComponentsGetterSetter(E,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(E,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(E,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(E,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(E,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(E,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(E,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(E,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(E,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(E,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(E,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(E,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(E,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(E,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(E,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(E,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(E,"fillPatternRotation",0),r.Factory.addGetterSetter(E,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(E,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(zr);Object.defineProperty(Fm,"__esModule",{value:!0});Fm.Layer=void 0;const Ra=ir,_w=Vc,gd=Kn,vT=xt,j8=Os,wve=He,xve=zr,Cve=Et;var Eve="#",Tve="beforeDraw",Ave="draw",QB=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],kve=QB.length;class lh extends _w.Container{constructor(t){super(t),this.canvas=new j8.SceneCanvas,this.hitCanvas=new j8.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){gd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=gd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(gd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(gd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return gd.Node.prototype.remove.call(this),t&&t.parentNode&&Ra.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Ra.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),gd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){Ra.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){Ra.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,Ra.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<kve;i++){const o=QB[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=Ra.Util._rgbToHex(r[0],r[1],r[2]),s=xve.shapes[Eve+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Tve,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),_w.Container.prototype.drawScene.call(this,i,n),this._fire(Ave,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),_w.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return Ra.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Fm.Layer=lh;lh.prototype.nodeType="Layer";(0,Cve._registerNode)(lh);vT.Factory.addGetterSetter(lh,"imageSmoothingEnabled",!0);vT.Factory.addGetterSetter(lh,"clearBeforeDraw",!0);vT.Factory.addGetterSetter(lh,"hitGraphEnabled",!0,(0,wve.getBooleanValidator)());var zb={};Object.defineProperty(zb,"__esModule",{value:!0});zb.FastLayer=void 0;const Pve=ir,Rve=Fm,Ove=Et;class _T extends Rve.Layer{constructor(t){super(t),this.listening(!1),Pve.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}zb.FastLayer=_T;_T.prototype.nodeType="FastLayer";(0,Ove._registerNode)(_T);var uh={};Object.defineProperty(uh,"__esModule",{value:!0});uh.Group=void 0;const Ive=ir,Mve=Vc,Nve=Et;class bT extends Mve.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Ive.Util.throw("You may only add groups and shapes to groups.")}}uh.Group=bT;bT.prototype.nodeType="Group";(0,Nve._registerNode)(bT);var ch={};Object.defineProperty(ch,"__esModule",{value:!0});ch.Animation=void 0;const bw=Et,V8=ir;var Sw=function(){return bw.glob.performance&&bw.glob.performance.now?function(){return bw.glob.performance.now()}:function(){return new Date().getTime()}}();class Js{constructor(t,n){this.id=Js.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Sw(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=Js,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Sw(),Js._addAnimation(this),this}stop(){return Js._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,c,d;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Sw()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=Js;t.animations.length?(t._runFrames(),V8.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,V8.Util.requestAnimFrame(this._animationLoop))}}ch.Animation=Js;Js.animations=[];Js.animIdCounter=0;Js.animRunning=!1;var YB={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=ir,n=ch,r=Kn,i=Et;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,b,_,v,g,y){this.prop=p,this.propFunc=m,this.begin=_,this._pos=_,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=y,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=b,this._change=v-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,b=p.node,_=b._id,v,g=p.easing||e.Easings.Linear,y=!!p.yoyo,S;typeof p.duration>"u"?v=.3:p.duration===0?v=.001:v=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(x){m._tweenFunc(x)},g,0,1,v*1e3,y),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,v,g,y,S,w,x,E,A;if(y=f.tweens[_][p],y&&delete f.attrs[_][y][p],v=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,v.length),p==="points"&&m.length!==v.length&&(m.length>v.length?(E=v,v=t.Util._prepareArrayForTween(v,m,b.closed())):(x=m,m=t.Util._prepareArrayForTween(m,v,b.closed()))),p.indexOf("fill")===0)for(S=0;S<w;S++)if(S%2===0)g.push(m[S]-v[S]);else{var T=t.Util.colorToRGBA(v[S]);A=t.Util.colorToRGBA(m[S]),v[S]=T,g.push({r:A.r-T.r,g:A.g-T.g,b:A.b-T.b,a:A.a-T.a})}else for(S=0;S<w;S++)g.push(m[S]-v[S]);else c.indexOf(p)!==-1?(v=t.Util.colorToRGBA(v),A=t.Util.colorToRGBA(m),g={r:A.r-v.r,g:A.g-v.g,b:A.b-v.b,a:A.a-v.a}):g=m-v;f.attrs[_][this._id][p]={start:v,diff:g,end:m,trueEnd:x,trueStart:E},f.tweens[_][p]=this._id}_tweenFunc(p){var m=this.node,b=f.attrs[m._id][this._id],_,v,g,y,S,w,x,E;for(_ in b){if(v=b[_],g=v.start,y=v.diff,E=v.end,t.Util._isArray(g))if(S=[],x=Math.max(g.length,E.length),_.indexOf("fill")===0)for(w=0;w<x;w++)w%2===0?S.push((g[w]||0)+y[w]*p):S.push("rgba("+Math.round(g[w].r+y[w].r*p)+","+Math.round(g[w].g+y[w].g*p)+","+Math.round(g[w].b+y[w].b*p)+","+(g[w].a+y[w].a*p)+")");else for(w=0;w<x;w++)S.push((g[w]||0)+y[w]*p);else c.indexOf(_)!==-1?S="rgba("+Math.round(g.r+y.r*p)+","+Math.round(g.g+y.g*p)+","+Math.round(g.b+y.b*p)+","+(g.a+y.a*p)+")":S=g+y*p;m.setAttr(_,S)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b)===1?p+m:(v||(v=b*.3),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),-(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v))+p)},ElasticEaseOut(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b)===1?p+m:(v||(v=b*.3),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),_*Math.pow(2,-10*h)*Math.sin((h*b-g)*(2*Math.PI)/v)+m+p)},ElasticEaseInOut(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b/2)===2?p+m:(v||(v=b*(.3*1.5)),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),h<1?-.5*(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v))+p:_*Math.pow(2,-10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v)*.5+m+p)},BounceEaseOut(h,p,m,b){return(h/=b)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,b){return m-e.Easings.BounceEaseOut(b-h,0,m,b)+p},BounceEaseInOut(h,p,m,b){return h<b/2?e.Easings.BounceEaseIn(h*2,0,m,b)*.5+p:e.Easings.BounceEaseOut(h*2-b,0,m,b)*.5+m*.5+p},EaseIn(h,p,m,b){return m*(h/=b)*h+p},EaseOut(h,p,m,b){return-m*(h/=b)*(h-2)+p},EaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,b){return m*(h/=b)*h*h*h*h+p},StrongEaseOut(h,p,m,b){return m*((h=h/b-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,b){return m*h/b+p}}})(YB);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=Et,n=ir,r=Kn,i=Vc,o=WB,s=Fm,a=zb,l=uh,u=Fb,c=zr,d=ch,f=YB,h=Xa,p=Os;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(VB);var Ub={};Object.defineProperty(Ub,"__esModule",{value:!0});Ub.Arc=void 0;const jb=xt,Dve=zr,G8=Et,Vb=He,Lve=Et;class pl extends Dve.Shape{_sceneFunc(t){var n=G8.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=G8.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),s=1,a=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}Ub.Arc=pl;pl.prototype._centroid=!0;pl.prototype.className="Arc";pl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,Lve._registerNode)(pl);jb.Factory.addGetterSetter(pl,"innerRadius",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"outerRadius",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"angle",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"clockwise",!1,(0,Vb.getBooleanValidator)());var Gb={},Bm={};Object.defineProperty(Bm,"__esModule",{value:!0});Bm.Line=void 0;const Hb=xt,$ve=zr,ZB=He,Fve=Et;function ZC(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function H8(e,t){var n=e.length,r=[],i,o;for(i=2;i<n-2;i+=2)o=ZC(e[i-2],e[i-1],e[i],e[i+1],e[i+2],e[i+3],t),!isNaN(o[0])&&(r.push(o[0]),r.push(o[1]),r.push(e[i]),r.push(e[i+1]),r.push(o[2]),r.push(o[3]));return r}class Pu extends $ve.Shape{constructor(t){super(t),this.on("pointsChange.konva tensionChange.konva closedChange.konva bezierChange.konva",function(){this._clearCache("tensionPoints")})}_sceneFunc(t){var n=this.points(),r=n.length,i=this.tension(),o=this.closed(),s=this.bezier(),a,l,u;if(r){if(t.beginPath(),t.moveTo(n[0],n[1]),i!==0&&r>4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u<l-2;)t.bezierCurveTo(a[u++],a[u++],a[u++],a[u++],a[u++],a[u++]);o||t.quadraticCurveTo(a[l-2],a[l-1],n[r-2],n[r-1])}else if(s)for(u=2;u<r;)t.bezierCurveTo(n[u++],n[u++],n[u++],n[u++],n[u++],n[u++]);else for(u=2;u<r;u+=2)t.lineTo(n[u],n[u+1]);o?(t.closePath(),t.fillStrokeShape(this)):t.strokeShape(this)}}getTensionPoints(){return this._getCache("tensionPoints",this._getTensionPoints)}_getTensionPoints(){return this.closed()?this._getTensionPointsClosed():H8(this.points(),this.tension())}_getTensionPointsClosed(){var t=this.points(),n=t.length,r=this.tension(),i=ZC(t[n-2],t[n-1],t[0],t[1],t[2],t[3],r),o=ZC(t[n-4],t[n-3],t[n-2],t[n-1],t[0],t[1],r),s=H8(t,r),a=[i[2],i[3]].concat(s).concat([o[0],o[1],t[n-2],t[n-1],o[2],o[3],i[0],i[1],t[0],t[1]]);return a}getWidth(){return this.getSelfRect().width}getHeight(){return this.getSelfRect().height}getSelfRect(){var t=this.points();if(t.length<4)return{x:t[0]||0,y:t[1]||0,width:0,height:0};this.tension()!==0?t=[t[0],t[1],...this._getTensionPoints(),t[t.length-2],t[t.length-1]]:t=this.points();for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);return{x:n,y:i,width:r-n,height:o-i}}}Bm.Line=Pu;Pu.prototype.className="Line";Pu.prototype._attrsAffectingSize=["points","bezier","tension"];(0,Fve._registerNode)(Pu);Hb.Factory.addGetterSetter(Pu,"closed",!1);Hb.Factory.addGetterSetter(Pu,"bezier",!1);Hb.Factory.addGetterSetter(Pu,"tension",0,(0,ZB.getNumberValidator)());Hb.Factory.addGetterSetter(Pu,"points",[],(0,ZB.getNumberArrayValidator)());var 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n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Mr.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Mr.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Mr.getPointOnCubicBezier((0,md.t2length)(t,Mr.getPathLength(n),m=>(0,md.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Mr.getPointOnQuadraticBezier((0,md.t2length)(t,Mr.getPathLength(n),m=>(0,md.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,Mr.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:s,y:a+c};else if((a-r)/(s-n+1e-8)===l)d={x:s+u,y:a+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(s-n)*(i-n)+(a-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var b=this.getLineLength(s,a,f,h),_=Math.sqrt(t*t-b*b);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function c(b){return b*b*b}function d(b){return 3*b*b*(1-b)}function f(b){return 3*b*(1-b)*(1-b)}function h(b){return(1-b)*(1-b)*(1-b)}var p=l*c(t)+s*d(t)+i*f(t)+n*h(t),m=u*c(t)+a*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=s*l(t)+i*u(t)+n*c(t),f=a*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),a.length=0;d=c.exec(f);)a.push(d[0]);for(var p=[],m=0,b=a.length;m<b;m++){if(a[m]==="00"){p.push(0,0);continue}var _=parseFloat(a[m]);isNaN(_)?p.push(0):p.push(_)}for(;p.length>0&&!isNaN(p[0]);){var v=null,g=[],y=l,S=u,w,x,E,A,T,k,L,N,C,P;switch(h){case"l":l+=p.shift(),u+=p.shift(),v="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var D=p.shift(),B=p.shift();if(l+=D,u+=B,v="M",s.length>2&&s[s.length-1].command==="z"){for(var R=s.length-2;R>=0;R--)if(s[R].command==="M"){l=s[R].points[0]+D,u=s[R].points[1]+B;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),v="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),v="L",g.push(l,u);break;case"H":l=p.shift(),v="L",g.push(l,u);break;case"v":u+=p.shift(),v="L",g.push(l,u);break;case"V":u=p.shift(),v="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="C",g.push(l,u);break;case"S":x=l,E=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),E=u+(u-w.points[3])),g.push(x,E,p.shift(),p.shift()),l=p.shift(),u=p.shift(),v="C",g.push(l,u);break;case"s":x=l,E=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),E=u+(u-w.points[3])),g.push(x,E,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="Q",g.push(l,u);break;case"T":x=l,E=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),E=u+(u-w.points[1])),l=p.shift(),u=p.shift(),v="Q",g.push(x,E,l,u);break;case"t":x=l,E=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),E=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),v="Q",g.push(x,E,l,u);break;case"A":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),C=l,P=u,l=p.shift(),u=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,P,l,u,L,N,A,T,k);break;case"a":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),C=l,P=u,l+=p.shift(),u+=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,P,l,u,L,N,A,T,k);break}s.push({command:v||h,points:g,start:{x:y,y:S},pathLength:this.calcLength(y,S,v||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Mr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,md.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,md.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l<f;l+=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(a*a)+f*f/(l*l);h>1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,v=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},y=function(T,k){return(T[0]*k[0]+T[1]*k[1])/(g(T)*g(k))},S=function(T,k){return(T[0]*k[1]<T[1]*k[0]?-1:1)*Math.acos(y(T,k))},w=S([1,0],[(d-m)/a,(f-b)/l]),x=[(d-m)/a,(f-b)/l],E=[(-1*d-m)/a,(-1*f-b)/l],A=S(x,E);return y(x,E)<=-1&&(A=Math.PI),y(x,E)>=1&&(A=0),s===0&&A>0&&(A=A-2*Math.PI),s===1&&A<0&&(A=A+2*Math.PI),[_,v,a,l,w,A,c,s]}}dh.Path=Mr;Mr.prototype.className="Path";Mr.prototype._attrsAffectingSize=["data"];(0,Uve._registerNode)(Mr);Bve.Factory.addGetterSetter(Mr,"data");Object.defineProperty(Gb,"__esModule",{value:!0});Gb.Arrow=void 0;const qb=xt,jve=Bm,ez=He,Vve=Et,q8=dh;class Hc extends jve.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=q8.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=q8.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}Gb.Arrow=Hc;Hc.prototype.className="Arrow";(0,Vve._registerNode)(Hc);qb.Factory.addGetterSetter(Hc,"pointerLength",10,(0,ez.getNumberValidator)());qb.Factory.addGetterSetter(Hc,"pointerWidth",10,(0,ez.getNumberValidator)());qb.Factory.addGetterSetter(Hc,"pointerAtBeginning",!1);qb.Factory.addGetterSetter(Hc,"pointerAtEnding",!0);var Wb={};Object.defineProperty(Wb,"__esModule",{value:!0});Wb.Circle=void 0;const Gve=xt,Hve=zr,qve=He,Wve=Et;let fh=class extends Hve.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};Wb.Circle=fh;fh.prototype._centroid=!0;fh.prototype.className="Circle";fh.prototype._attrsAffectingSize=["radius"];(0,Wve._registerNode)(fh);Gve.Factory.addGetterSetter(fh,"radius",0,(0,qve.getNumberValidator)());var Kb={};Object.defineProperty(Kb,"__esModule",{value:!0});Kb.Ellipse=void 0;const ST=xt,Kve=zr,tz=He,Xve=Et;class Ru extends Kve.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}Kb.Ellipse=Ru;Ru.prototype.className="Ellipse";Ru.prototype._centroid=!0;Ru.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,Xve._registerNode)(Ru);ST.Factory.addComponentsGetterSetter(Ru,"radius",["x","y"]);ST.Factory.addGetterSetter(Ru,"radiusX",0,(0,tz.getNumberValidator)());ST.Factory.addGetterSetter(Ru,"radiusY",0,(0,tz.getNumberValidator)());var Xb={};Object.defineProperty(Xb,"__esModule",{value:!0});Xb.Image=void 0;const ww=ir,qc=xt,Qve=zr,Yve=Et,zm=He;let wa=class nz extends Qve.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?ww.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?ww.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=ww.Util.createImageElement();i.onload=function(){var o=new nz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};Xb.Image=wa;wa.prototype.className="Image";(0,Yve._registerNode)(wa);qc.Factory.addGetterSetter(wa,"cornerRadius",0,(0,zm.getNumberOrArrayOfNumbersValidator)(4));qc.Factory.addGetterSetter(wa,"image");qc.Factory.addComponentsGetterSetter(wa,"crop",["x","y","width","height"]);qc.Factory.addGetterSetter(wa,"cropX",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropY",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropWidth",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropHeight",0,(0,zm.getNumberValidator)());var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Tag=jf.Label=void 0;const Qb=xt,Zve=zr,Jve=uh,wT=He,rz=Et;var iz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],e1e="Change.konva",t1e="none",JC="up",e3="right",t3="down",n3="left",n1e=iz.length;class xT extends Jve.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<n1e;r++)t.on(iz[r]+e1e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case JC:a=r/2,l=-1*u;break;case e3:a=r+s,l=i/2;break;case t3:a=r/2,l=i+u;break;case n3:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}jf.Label=xT;xT.prototype.className="Label";(0,rz._registerNode)(xT);class Wc extends Zve.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof a=="number"?l=u=c=d=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),d=Math.min(a[2]||0,n/2,r/2),c=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===JC&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===e3&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===t3&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===n3&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===JC?(n-=i,a+=i):o===t3?a+=i:o===n3?(t-=r*1.5,s+=r):o===e3&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}jf.Tag=Wc;Wc.prototype.className="Tag";(0,rz._registerNode)(Wc);Qb.Factory.addGetterSetter(Wc,"pointerDirection",t1e);Qb.Factory.addGetterSetter(Wc,"pointerWidth",0,(0,wT.getNumberValidator)());Qb.Factory.addGetterSetter(Wc,"pointerHeight",0,(0,wT.getNumberValidator)());Qb.Factory.addGetterSetter(Wc,"cornerRadius",0,(0,wT.getNumberOrArrayOfNumbersValidator)(4));var Um={};Object.defineProperty(Um,"__esModule",{value:!0});Um.Rect=void 0;const r1e=xt,i1e=zr,o1e=Et,s1e=ir,a1e=He;let Yb=class extends i1e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?s1e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Um.Rect=Yb;Yb.prototype.className="Rect";(0,o1e._registerNode)(Yb);r1e.Factory.addGetterSetter(Yb,"cornerRadius",0,(0,a1e.getNumberOrArrayOfNumbersValidator)(4));var Zb={};Object.defineProperty(Zb,"__esModule",{value:!0});Zb.RegularPolygon=void 0;const oz=xt,l1e=zr,sz=He,u1e=Et;class Kc extends l1e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}Zb.RegularPolygon=Kc;Kc.prototype.className="RegularPolygon";Kc.prototype._centroid=!0;Kc.prototype._attrsAffectingSize=["radius"];(0,u1e._registerNode)(Kc);oz.Factory.addGetterSetter(Kc,"radius",0,(0,sz.getNumberValidator)());oz.Factory.addGetterSetter(Kc,"sides",0,(0,sz.getNumberValidator)());var Jb={};Object.defineProperty(Jb,"__esModule",{value:!0});Jb.Ring=void 0;const az=xt,c1e=zr,lz=He,d1e=Et;var W8=Math.PI*2;class Xc extends c1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,W8,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),W8,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}Jb.Ring=Xc;Xc.prototype.className="Ring";Xc.prototype._centroid=!0;Xc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,d1e._registerNode)(Xc);az.Factory.addGetterSetter(Xc,"innerRadius",0,(0,lz.getNumberValidator)());az.Factory.addGetterSetter(Xc,"outerRadius",0,(0,lz.getNumberValidator)());var eS={};Object.defineProperty(eS,"__esModule",{value:!0});eS.Sprite=void 0;const Qc=xt,f1e=zr,h1e=ch,uz=He,p1e=Et;class xa extends f1e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new h1e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var 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t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}eS.Sprite=xa;xa.prototype.className="Sprite";(0,p1e._registerNode)(xa);Qc.Factory.addGetterSetter(xa,"animation");Qc.Factory.addGetterSetter(xa,"animations");Qc.Factory.addGetterSetter(xa,"frameOffsets");Qc.Factory.addGetterSetter(xa,"image");Qc.Factory.addGetterSetter(xa,"frameIndex",0,(0,uz.getNumberValidator)());Qc.Factory.addGetterSetter(xa,"frameRate",17,(0,uz.getNumberValidator)());Qc.Factory.backCompat(xa,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var tS={};Object.defineProperty(tS,"__esModule",{value:!0});tS.Star=void 0;const CT=xt,g1e=zr,ET=He,m1e=Et;class Ou extends g1e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}tS.Star=Ou;Ou.prototype.className="Star";Ou.prototype._centroid=!0;Ou.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,m1e._registerNode)(Ou);CT.Factory.addGetterSetter(Ou,"numPoints",5,(0,ET.getNumberValidator)());CT.Factory.addGetterSetter(Ou,"innerRadius",0,(0,ET.getNumberValidator)());CT.Factory.addGetterSetter(Ou,"outerRadius",0,(0,ET.getNumberValidator)());var Ic={};Object.defineProperty(Ic,"__esModule",{value:!0});Ic.Text=Ic.stringToArray=void 0;const r3=ir,Zi=xt,y1e=zr,Iu=He,v1e=Et;function cz(e){return Array.from(e)}Ic.stringToArray=cz;var yd="auto",_1e="center",Bh="justify",b1e="Change.konva",S1e="2d",K8="-",dz="left",w1e="text",x1e="Text",C1e="top",E1e="bottom",X8="middle",fz="normal",T1e="px ",Xy=" ",A1e="right",k1e="word",P1e="char",Q8="none",xw="…",hz=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],R1e=hz.length;function O1e(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Qy;function Cw(){return Qy||(Qy=r3.Util.createCanvasElement().getContext(S1e),Qy)}function I1e(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function M1e(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function N1e(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}let vr=class extends y1e.Shape{constructor(t){super(N1e(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<R1e;n++)this.on(hz[n]+b1e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,b,_=0,_=s/2,v=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",X8),t.setAttr("textAlign",dz),a===X8?l=(this.getHeight()-r*s-i*2)/2:a===E1e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),b=0;b<r;b++){var v=0,g=0,y=n[b],S=y.text,w=y.width,x=y.lastInParagraph,E,A,T;if(t.save(),u===A1e?v+=c-w-i*2:u===_1e&&(v+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(v,_+g+Math.round(o/2)),E=S.split(" ").length-1,A=E===0,T=u===Bh&&!x?c-i*2:w,t.lineTo(v+Math.round(T),_+g+Math.round(o/2)),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(v,_+g),E=S.split(" ").length-1,A=E===0,T=u===Bh&&x&&!A?c-i*2:w,t.lineTo(v+Math.round(T),_+g),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(d!==0||u===Bh){E=S.split(" ").length-1;for(var k=cz(S),L=0;L<k.length;L++){var N=k[L];N===" "&&!x&&u===Bh&&(v+=(c-i*2-w)/E),this._partialTextX=v,this._partialTextY=_+g,this._partialText=N,t.fillStrokeShape(this),v+=this.measureSize(N).width+d}}else this._partialTextX=v,this._partialTextY=_+g,this._partialText=S,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=r3.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(w1e,n),this}getWidth(){var t=this.attrs.width===yd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===yd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return r3.Util.warn("text.getTextHeight() method is deprecated. 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-`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==yd&&o!==void 0,l=s!==yd&&s!==void 0,u=this.padding(),c=o-u*2,d=s-u*2,f=0,h=this.wrap(),p=h!==Q8,m=h!==P1e&&p,b=this.ellipsis();this.textArr=[],Cw().font=this._getContextFont();for(var _=b?this._getTextWidth(xw):0,v=0,g=t.length;v<g;++v){var y=t[v],S=this._getTextWidth(y);if(a&&S>c)for(;y.length>0;){for(var w=0,x=y.length,E="",A=0;w<x;){var T=w+x>>>1,k=y.slice(0,T+1),L=this._getTextWidth(k)+_;L<=c?(w=T+1,E=k,A=L):x=T}if(E){if(m){var N,C=y[E.length],P=C===Xy||C===K8;P&&A<=c?N=E.length:N=Math.max(E.lastIndexOf(Xy),E.lastIndexOf(K8))+1,N>0&&(w=N,E=E.slice(0,w),A=this._getTextWidth(E))}E=E.trimRight(),this._addTextLine(E),r=Math.max(r,A),f+=i;var D=this._shouldHandleEllipsis(f);if(D){this._tryToAddEllipsisToLastLine();break}if(y=y.slice(w),y=y.trimLeft(),y.length>0&&(S=this._getTextWidth(y),S<=c)){this._addTextLine(y),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(y),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&v<g-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&f+i>d)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==yd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==Q8;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==yd&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+xw)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+xw)}}getStrokeScaleEnabled(){return!0}};Ic.Text=vr;vr.prototype._fillFunc=I1e;vr.prototype._strokeFunc=M1e;vr.prototype.className=x1e;vr.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,v1e._registerNode)(vr);Zi.Factory.overWriteSetter(vr,"width",(0,Iu.getNumberOrAutoValidator)());Zi.Factory.overWriteSetter(vr,"height",(0,Iu.getNumberOrAutoValidator)());Zi.Factory.addGetterSetter(vr,"fontFamily","Arial");Zi.Factory.addGetterSetter(vr,"fontSize",12,(0,Iu.getNumberValidator)());Zi.Factory.addGetterSetter(vr,"fontStyle",fz);Zi.Factory.addGetterSetter(vr,"fontVariant",fz);Zi.Factory.addGetterSetter(vr,"padding",0,(0,Iu.getNumberValidator)());Zi.Factory.addGetterSetter(vr,"align",dz);Zi.Factory.addGetterSetter(vr,"verticalAlign",C1e);Zi.Factory.addGetterSetter(vr,"lineHeight",1,(0,Iu.getNumberValidator)());Zi.Factory.addGetterSetter(vr,"wrap",k1e);Zi.Factory.addGetterSetter(vr,"ellipsis",!1,(0,Iu.getBooleanValidator)());Zi.Factory.addGetterSetter(vr,"letterSpacing",0,(0,Iu.getNumberValidator)());Zi.Factory.addGetterSetter(vr,"text","",(0,Iu.getStringValidator)());Zi.Factory.addGetterSetter(vr,"textDecoration","");var nS={};Object.defineProperty(nS,"__esModule",{value:!0});nS.TextPath=void 0;const Ew=ir,Fs=xt,D1e=zr,zh=dh,Tw=Ic,pz=He,L1e=Et;var $1e="",gz="normal";function mz(e){e.fillText(this.partialText,0,0)}function yz(e){e.strokeText(this.partialText,0,0)}class Ur extends D1e.Shape{constructor(t){super(t),this.dummyCanvas=Ew.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return zh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:zh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=zh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return Ew.Util.warn("text.getTextHeight() method is deprecated. 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Ew.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}nS.TextPath=Ur;Ur.prototype._fillFunc=mz;Ur.prototype._strokeFunc=yz;Ur.prototype._fillFuncHit=mz;Ur.prototype._strokeFuncHit=yz;Ur.prototype.className="TextPath";Ur.prototype._attrsAffectingSize=["text","fontSize","data"];(0,L1e._registerNode)(Ur);Fs.Factory.addGetterSetter(Ur,"data");Fs.Factory.addGetterSetter(Ur,"fontFamily","Arial");Fs.Factory.addGetterSetter(Ur,"fontSize",12,(0,pz.getNumberValidator)());Fs.Factory.addGetterSetter(Ur,"fontStyle",gz);Fs.Factory.addGetterSetter(Ur,"align","left");Fs.Factory.addGetterSetter(Ur,"letterSpacing",0,(0,pz.getNumberValidator)());Fs.Factory.addGetterSetter(Ur,"textBaseline","middle");Fs.Factory.addGetterSetter(Ur,"fontVariant",gz);Fs.Factory.addGetterSetter(Ur,"text",$1e);Fs.Factory.addGetterSetter(Ur,"textDecoration",null);Fs.Factory.addGetterSetter(Ur,"kerningFunc",null);var rS={};Object.defineProperty(rS,"__esModule",{value:!0});rS.Transformer=void 0;const hn=ir,ln=xt,Y8=Kn,F1e=zr,B1e=Um,Z8=uh,ms=Et,Mu=He,z1e=Et;var vz="tr-konva",U1e=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${vz}`).join(" "),J8="nodesRect",j1e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],V1e={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const G1e="ontouchstart"in ms.Konva._global;function H1e(e,t){if(e==="rotater")return"crosshair";t+=hn.Util.degToRad(V1e[e]||0);var n=(hn.Util.radToDeg(t)%360+360)%360;return hn.Util._inRange(n,315+22.5,360)||hn.Util._inRange(n,0,22.5)?"ns-resize":hn.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":hn.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":hn.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":hn.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":hn.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":hn.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":hn.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(hn.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var C1=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],eR=1e8;function q1e(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function _z(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function W1e(e,t){const n=q1e(e);return _z(e,t,n)}function K1e(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=ms.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Vt extends Z8.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(U1e,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return hn.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return vz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(hn.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(j1e.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(J8),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(J8,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(ms.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return _z(c,-ms.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-eR,y:-eR,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new hn.Transform;r.rotate(-ms.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:ms.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),C1.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new B1e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:G1e?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=ms.Konva.getAngle(this.rotation()),o=H1e(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new F1e.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*hn.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let N=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(N-=Math.PI);var f=ms.Konva.getAngle(this.rotation());const C=f+N,P=ms.Konva.getAngle(this.rotationSnapTolerance()),B=K1e(this.rotationSnaps(),C,P)-d.rotation,R=W1e(d,B);this._fitNodesInto(R,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-right").x()<m.x?-1:1,_=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var v=o.position();this.findOne(".top-left").y(v.y),this.findOne(".bottom-right").x(v.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var b=m.x<o.x()?-1:1,_=o.y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,o.x(m.x-n),o.y(m.y+r)}v=o.position(),this.findOne(".top-left").x(v.x),this.findOne(".bottom-right").y(v.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var b=this.findOne(".bottom-right").x()<m.x?-1:1,_=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var y=this.findOne(".top-left"),S=this.findOne(".bottom-right"),w=y.x(),x=y.y(),E=this.getWidth()-S.x(),A=this.getHeight()-S.y();S.move({x:-w,y:-x}),y.move({x:E,y:A})}var T=this.findOne(".top-left").getAbsolutePosition();n=T.x,r=T.y;var k=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),L=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:k,height:L,rotation:ms.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(hn.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(hn.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new hn.Transform;if(s.rotate(ms.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:hn.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new hn.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new hn.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new hn.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(hn.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(hn.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*hn.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),Z8.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return Y8.Node.prototype.toObject.call(this)}clone(t){var n=Y8.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}rS.Transformer=Vt;function X1e(e){return e instanceof Array||hn.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){C1.indexOf(t)===-1&&hn.Util.warn("Unknown anchor name: "+t+". Available names are: "+C1.join(", "))}),e||[]}Vt.prototype.className="Transformer";(0,z1e._registerNode)(Vt);ln.Factory.addGetterSetter(Vt,"enabledAnchors",C1,X1e);ln.Factory.addGetterSetter(Vt,"flipEnabled",!0,(0,Mu.getBooleanValidator)());ln.Factory.addGetterSetter(Vt,"resizeEnabled",!0);ln.Factory.addGetterSetter(Vt,"anchorSize",10,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"rotateEnabled",!0);ln.Factory.addGetterSetter(Vt,"rotationSnaps",[]);ln.Factory.addGetterSetter(Vt,"rotateAnchorOffset",50,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"rotationSnapTolerance",5,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderEnabled",!0);ln.Factory.addGetterSetter(Vt,"anchorStroke","rgb(0, 161, 255)");ln.Factory.addGetterSetter(Vt,"anchorStrokeWidth",1,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"anchorFill","white");ln.Factory.addGetterSetter(Vt,"anchorCornerRadius",0,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderStroke","rgb(0, 161, 255)");ln.Factory.addGetterSetter(Vt,"borderStrokeWidth",1,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderDash");ln.Factory.addGetterSetter(Vt,"keepRatio",!0);ln.Factory.addGetterSetter(Vt,"shiftBehavior","default");ln.Factory.addGetterSetter(Vt,"centeredScaling",!1);ln.Factory.addGetterSetter(Vt,"ignoreStroke",!1);ln.Factory.addGetterSetter(Vt,"padding",0,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"node");ln.Factory.addGetterSetter(Vt,"nodes");ln.Factory.addGetterSetter(Vt,"boundBoxFunc");ln.Factory.addGetterSetter(Vt,"anchorDragBoundFunc");ln.Factory.addGetterSetter(Vt,"anchorStyleFunc");ln.Factory.addGetterSetter(Vt,"shouldOverdrawWholeArea",!1);ln.Factory.addGetterSetter(Vt,"useSingleNodeRotation",!0);ln.Factory.backCompat(Vt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var iS={};Object.defineProperty(iS,"__esModule",{value:!0});iS.Wedge=void 0;const oS=xt,Q1e=zr,Y1e=Et,bz=He,Z1e=Et;class gl extends Q1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Y1e.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}iS.Wedge=gl;gl.prototype.className="Wedge";gl.prototype._centroid=!0;gl.prototype._attrsAffectingSize=["radius"];(0,Z1e._registerNode)(gl);oS.Factory.addGetterSetter(gl,"radius",0,(0,bz.getNumberValidator)());oS.Factory.addGetterSetter(gl,"angle",0,(0,bz.getNumberValidator)());oS.Factory.addGetterSetter(gl,"clockwise",!1);oS.Factory.backCompat(gl,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var sS={};Object.defineProperty(sS,"__esModule",{value:!0});sS.Blur=void 0;const tR=xt,J1e=Kn,e_e=He;function nR(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var t_e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],n_e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function r_e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,v,g,y,S,w,x,E,A,T,k,L,N=t+t+1,C=r-1,P=i-1,D=t+1,B=D*(D+1)/2,R=new nR,O=null,I=R,F=null,U=null,V=t_e[t],H=n_e[t];for(a=1;a<N;a++)I=I.next=new nR,a===D&&(O=I);for(I.next=R,d=c=0,s=0;s<i;s++){for(y=S=w=x=f=h=p=m=0,b=D*(E=n[c]),_=D*(A=n[c+1]),v=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*E,h+=B*A,p+=B*T,m+=B*k,I=R,a=0;a<D;a++)I.r=E,I.g=A,I.b=T,I.a=k,I=I.next;for(a=1;a<D;a++)l=c+((C<a?C:a)<<2),f+=(I.r=E=n[l])*(L=D-a),h+=(I.g=A=n[l+1])*L,p+=(I.b=T=n[l+2])*L,m+=(I.a=k=n[l+3])*L,y+=E,S+=A,w+=T,x+=k,I=I.next;for(F=R,U=O,o=0;o<r;o++)n[c+3]=k=m*V>>H,k!==0?(k=255/k,n[c]=(f*V>>H)*k,n[c+1]=(h*V>>H)*k,n[c+2]=(p*V>>H)*k):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=v,m-=g,b-=F.r,_-=F.g,v-=F.b,g-=F.a,l=d+((l=o+t+1)<C?l:C)<<2,y+=F.r=n[l],S+=F.g=n[l+1],w+=F.b=n[l+2],x+=F.a=n[l+3],f+=y,h+=S,p+=w,m+=x,F=F.next,b+=E=U.r,_+=A=U.g,v+=T=U.b,g+=k=U.a,y-=E,S-=A,w-=T,x-=k,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(S=w=x=y=h=p=m=f=0,c=o<<2,b=D*(E=n[c]),_=D*(A=n[c+1]),v=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*E,h+=B*A,p+=B*T,m+=B*k,I=R,a=0;a<D;a++)I.r=E,I.g=A,I.b=T,I.a=k,I=I.next;for(u=r,a=1;a<=t;a++)c=u+o<<2,f+=(I.r=E=n[c])*(L=D-a),h+=(I.g=A=n[c+1])*L,p+=(I.b=T=n[c+2])*L,m+=(I.a=k=n[c+3])*L,y+=E,S+=A,w+=T,x+=k,I=I.next,a<P&&(u+=r);for(c=o,F=R,U=O,s=0;s<i;s++)l=c<<2,n[l+3]=k=m*V>>H,k>0?(k=255/k,n[l]=(f*V>>H)*k,n[l+1]=(h*V>>H)*k,n[l+2]=(p*V>>H)*k):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=v,m-=g,b-=F.r,_-=F.g,v-=F.b,g-=F.a,l=o+((l=s+D)<P?l:P)*r<<2,f+=y+=F.r=n[l],h+=S+=F.g=n[l+1],p+=w+=F.b=n[l+2],m+=x+=F.a=n[l+3],F=F.next,b+=E=U.r,_+=A=U.g,v+=T=U.b,g+=k=U.a,y-=E,S-=A,w-=T,x-=k,U=U.next,c+=r}}const i_e=function(t){var n=Math.round(this.blurRadius());n>0&&r_e(t,n)};sS.Blur=i_e;tR.Factory.addGetterSetter(J1e.Node,"blurRadius",0,(0,e_e.getNumberValidator)(),tR.Factory.afterSetFilter);var aS={};Object.defineProperty(aS,"__esModule",{value:!0});aS.Brighten=void 0;const rR=xt,o_e=Kn,s_e=He,a_e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};aS.Brighten=a_e;rR.Factory.addGetterSetter(o_e.Node,"brightness",0,(0,s_e.getNumberValidator)(),rR.Factory.afterSetFilter);var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.Contrast=void 0;const iR=xt,l_e=Kn,u_e=He,c_e=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};lS.Contrast=c_e;iR.Factory.addGetterSetter(l_e.Node,"contrast",0,(0,u_e.getNumberValidator)(),iR.Factory.afterSetFilter);var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.Emboss=void 0;const yu=xt,cS=Kn,d_e=ir,Sz=He,f_e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:d_e.Util.error("Unknown emboss direction: "+r)}do{var f=(d-1)*c,h=o;d+h<1&&(h=0),d+h>u&&(h=0);var p=(d-1+h)*l*4,m=l;do{var b=f+(m-1)*4,_=s;m+_<1&&(_=0),m+_>l&&(_=0);var v=p+(m-1+_)*4,g=a[b]-a[v],y=a[b+1]-a[v+1],S=a[b+2]-a[v+2],w=g,x=w>0?w:-w,E=y>0?y:-y,A=S>0?S:-S;if(E>x&&(w=y),A>x&&(w=S),w*=t,i){var T=a[b]+w,k=a[b+1]+w,L=a[b+2]+w;a[b]=T>255?255:T<0?0:T,a[b+1]=k>255?255:k<0?0:k,a[b+2]=L>255?255:L<0?0:L}else{var N=n-w;N<0?N=0:N>255&&(N=255),a[b]=a[b+1]=a[b+2]=N}}while(--m)}while(--d)};uS.Emboss=f_e;yu.Factory.addGetterSetter(cS.Node,"embossStrength",.5,(0,Sz.getNumberValidator)(),yu.Factory.afterSetFilter);yu.Factory.addGetterSetter(cS.Node,"embossWhiteLevel",.5,(0,Sz.getNumberValidator)(),yu.Factory.afterSetFilter);yu.Factory.addGetterSetter(cS.Node,"embossDirection","top-left",null,yu.Factory.afterSetFilter);yu.Factory.addGetterSetter(cS.Node,"embossBlend",!1,null,yu.Factory.afterSetFilter);var dS={};Object.defineProperty(dS,"__esModule",{value:!0});dS.Enhance=void 0;const oR=xt,h_e=Kn,p_e=He;function Aw(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const g_e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<s?s=l:l>a&&(a=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,v,g,y,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),v=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,v=a+h*(a-_),g=s+h*(s-_),y=(c+u)*.5,S=c+h*(c-y),w=u+h*(u-y)),f=0;f<n;f+=4)t[f+0]=Aw(t[f+0],r,i,b,m),t[f+1]=Aw(t[f+1],s,a,g,v),t[f+2]=Aw(t[f+2],u,c,w,S)}};dS.Enhance=g_e;oR.Factory.addGetterSetter(h_e.Node,"enhance",0,(0,p_e.getNumberValidator)(),oR.Factory.afterSetFilter);var fS={};Object.defineProperty(fS,"__esModule",{value:!0});fS.Grayscale=void 0;const m_e=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};fS.Grayscale=m_e;var hS={};Object.defineProperty(hS,"__esModule",{value:!0});hS.HSL=void 0;const Vf=xt,TT=Kn,AT=He;Vf.Factory.addGetterSetter(TT.Node,"hue",0,(0,AT.getNumberValidator)(),Vf.Factory.afterSetFilter);Vf.Factory.addGetterSetter(TT.Node,"saturation",0,(0,AT.getNumberValidator)(),Vf.Factory.afterSetFilter);Vf.Factory.addGetterSetter(TT.Node,"luminance",0,(0,AT.getNumberValidator)(),Vf.Factory.afterSetFilter);const y_e=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),c=.299*r+.701*l+.167*u,d=.587*r-.587*l+.33*u,f=.114*r-.114*l-.497*u,h=.299*r-.299*l-.328*u,p=.587*r+.413*l+.035*u,m=.114*r-.114*l+.293*u,b=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,v=.114*r+.886*l-.2*u,g,y,S,w;for(a=0;a<n;a+=4)g=t[a+0],y=t[a+1],S=t[a+2],w=t[a+3],t[a+0]=c*g+d*y+f*S+s,t[a+1]=h*g+p*y+m*S+s,t[a+2]=b*g+_*y+v*S+s,t[a+3]=w};hS.HSL=y_e;var pS={};Object.defineProperty(pS,"__esModule",{value:!0});pS.HSV=void 0;const Gf=xt,kT=Kn,PT=He,v_e=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,c=.587*r-.587*a+.33*l,d=.114*r-.114*a-.497*l,f=.299*r-.299*a-.328*l,h=.587*r+.413*a+.035*l,p=.114*r-.114*a+.293*l,m=.299*r-.3*a+1.25*l,b=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,v,g,y,S;for(s=0;s<n;s+=4)v=t[s+0],g=t[s+1],y=t[s+2],S=t[s+3],t[s+0]=u*v+c*g+d*y,t[s+1]=f*v+h*g+p*y,t[s+2]=m*v+b*g+_*y,t[s+3]=S};pS.HSV=v_e;Gf.Factory.addGetterSetter(kT.Node,"hue",0,(0,PT.getNumberValidator)(),Gf.Factory.afterSetFilter);Gf.Factory.addGetterSetter(kT.Node,"saturation",0,(0,PT.getNumberValidator)(),Gf.Factory.afterSetFilter);Gf.Factory.addGetterSetter(kT.Node,"value",0,(0,PT.getNumberValidator)(),Gf.Factory.afterSetFilter);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Invert=void 0;const __e=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};gS.Invert=__e;var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Kaleidoscope=void 0;const E1=xt,wz=Kn,sR=ir,xz=He;var b_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f=0,h=0,p=0,m=0,b,_=Math.sqrt(a*a+l*l);c=o-a,d=s-l,b=Math.sqrt(c*c+d*d),_=b>_?b:_;var v=s,g=o,y,S,w=360/g*Math.PI/180,x,E;for(S=0;S<g;S+=1)for(x=Math.sin(S*w),E=Math.cos(S*w),y=0;y<v;y+=1)c=Math.floor(a+_*y/v*E),d=Math.floor(l+_*y/v*x),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(S+y*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},S_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f,h,p=0,m=0,b=0,_=0,v,g=Math.sqrt(a*a+l*l);c=o-a,d=s-l,v=Math.sqrt(c*c+d*d),g=v>g?v:g;var y=s,S=o,w,x,E=n.polarRotation||0,A,T;for(c=0;c<o;c+=1)for(d=0;d<s;d+=1)f=c-a,h=d-l,w=Math.sqrt(f*f+h*h)*y/g,x=(Math.atan2(h,f)*180/Math.PI+360+E)%360,x=x*S/360,A=Math.floor(x),T=Math.floor(w),u=(T*o+A)*4,p=r[u+0],m=r[u+1],b=r[u+2],_=r[u+3],u=(d*o+c)*4,i[u+0]=p,i[u+1]=m,i[u+2]=b,i[u+3]=_};const w_e=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,c,d,f,h=Math.round(this.kaleidoscopePower()),p=Math.round(this.kaleidoscopeAngle()),m=Math.floor(t*(p%360)/360);if(!(h<1)){var b=sR.Util.createCanvasElement();b.width=t,b.height=n;var _=b.getContext("2d").getImageData(0,0,t,n);sR.Util.releaseCanvas(b),b_e(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var v=t/Math.pow(2,h);v<=8;)v=v*2,h-=1;v=Math.ceil(v);var g=v,y=0,S=g,w=1;for(m+v>t&&(y=g,S=0,w=-1),i=0;i<n;i+=1)for(r=y;r!==S;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+r)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(v),s=0;s<h;s+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+g*2-r-1)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;g*=2}S_e(_,e,{polarRotation:0})}};mS.Kaleidoscope=w_e;E1.Factory.addGetterSetter(wz.Node,"kaleidoscopePower",2,(0,xz.getNumberValidator)(),E1.Factory.afterSetFilter);E1.Factory.addGetterSetter(wz.Node,"kaleidoscopeAngle",0,(0,xz.getNumberValidator)(),E1.Factory.afterSetFilter);var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Mask=void 0;const aR=xt,x_e=Kn,C_e=He;function Yy(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function Uh(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function E_e(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function T_e(e,t){var n=Yy(e,0,0),r=Yy(e,e.width-1,0),i=Yy(e,0,e.height-1),o=Yy(e,e.width-1,e.height-1),s=t||10;if(Uh(n,r)<s&&Uh(r,o)<s&&Uh(o,i)<s&&Uh(i,n)<s){for(var a=E_e([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var c=Uh(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=c<s?0:255}return l}}function A_e(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function k_e(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c===255*8?255:0}return s}function P_e(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c>=255*4?255:0}return s}function R_e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c}return s}const O_e=function(e){var t=this.threshold(),n=T_e(e,t);return n&&(n=k_e(n,e.width,e.height),n=P_e(n,e.width,e.height),n=R_e(n,e.width,e.height),A_e(e,n)),e};yS.Mask=O_e;aR.Factory.addGetterSetter(x_e.Node,"threshold",0,(0,C_e.getNumberValidator)(),aR.Factory.afterSetFilter);var vS={};Object.defineProperty(vS,"__esModule",{value:!0});vS.Noise=void 0;const lR=xt,I_e=Kn,M_e=He,N_e=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};vS.Noise=N_e;lR.Factory.addGetterSetter(I_e.Node,"noise",.2,(0,M_e.getNumberValidator)(),lR.Factory.afterSetFilter);var _S={};Object.defineProperty(_S,"__esModule",{value:!0});_S.Pixelate=void 0;const uR=xt,D_e=ir,L_e=Kn,$_e=He,F_e=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,b,_,v,g,y=e.data;if(t<=0){D_e.Util.error("pixelSize value can not be <= 0");return}for(_=0;_<d;_+=1)for(v=0;v<f;v+=1){for(a=0,l=0,u=0,c=0,h=_*t,p=h+t,m=v*t,b=m+t,g=0,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<b;o+=1)o>=r||(s=(n*o+i)*4,a+=y[s+0],l+=y[s+1],u+=y[s+2],c+=y[s+3],g+=1);for(a=a/g,l=l/g,u=u/g,c=c/g,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<b;o+=1)o>=r||(s=(n*o+i)*4,y[s+0]=a,y[s+1]=l,y[s+2]=u,y[s+3]=c)}};_S.Pixelate=F_e;uR.Factory.addGetterSetter(L_e.Node,"pixelSize",8,(0,$_e.getNumberValidator)(),uR.Factory.afterSetFilter);var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.Posterize=void 0;const cR=xt,B_e=Kn,z_e=He,U_e=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o<r;o+=1)n[o]=Math.floor(n[o]/i)*i};bS.Posterize=U_e;cR.Factory.addGetterSetter(B_e.Node,"levels",.5,(0,z_e.getNumberValidator)(),cR.Factory.afterSetFilter);var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.RGB=void 0;const T1=xt,RT=Kn,j_e=He,V_e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};SS.RGB=V_e;T1.Factory.addGetterSetter(RT.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});T1.Factory.addGetterSetter(RT.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});T1.Factory.addGetterSetter(RT.Node,"blue",0,j_e.RGBComponent,T1.Factory.afterSetFilter);var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.RGBA=void 0;const zg=xt,xS=Kn,G_e=He,H_e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};wS.RGBA=H_e;zg.Factory.addGetterSetter(xS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});zg.Factory.addGetterSetter(xS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});zg.Factory.addGetterSetter(xS.Node,"blue",0,G_e.RGBComponent,zg.Factory.afterSetFilter);zg.Factory.addGetterSetter(xS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.Sepia=void 0;const q_e=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};CS.Sepia=q_e;var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Solarize=void 0;const W_e=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};ES.Solarize=W_e;var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Threshold=void 0;const dR=xt,K_e=Kn,X_e=He,Q_e=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};TS.Threshold=Q_e;dR.Factory.addGetterSetter(K_e.Node,"threshold",.5,(0,X_e.getNumberValidator)(),dR.Factory.afterSetFilter);Object.defineProperty(Db,"__esModule",{value:!0});Db.Konva=void 0;const fR=VB,Y_e=Ub,Z_e=Gb,J_e=Wb,ebe=Kb,tbe=Xb,hR=jf,nbe=Bm,rbe=dh,ibe=Um,obe=Zb,sbe=Jb,abe=eS,lbe=tS,ube=Ic,cbe=nS,dbe=rS,fbe=iS,hbe=sS,pbe=aS,gbe=lS,mbe=uS,ybe=dS,vbe=fS,_be=hS,bbe=pS,Sbe=gS,wbe=mS,xbe=yS,Cbe=vS,Ebe=_S,Tbe=bS,Abe=SS,kbe=wS,Pbe=CS,Rbe=ES,Obe=TS;Db.Konva=fR.Konva.Util._assign(fR.Konva,{Arc:Y_e.Arc,Arrow:Z_e.Arrow,Circle:J_e.Circle,Ellipse:ebe.Ellipse,Image:tbe.Image,Label:hR.Label,Tag:hR.Tag,Line:nbe.Line,Path:rbe.Path,Rect:ibe.Rect,RegularPolygon:obe.RegularPolygon,Ring:sbe.Ring,Sprite:abe.Sprite,Star:lbe.Star,Text:ube.Text,TextPath:cbe.TextPath,Transformer:dbe.Transformer,Wedge:fbe.Wedge,Filters:{Blur:hbe.Blur,Brighten:pbe.Brighten,Contrast:gbe.Contrast,Emboss:mbe.Emboss,Enhance:ybe.Enhance,Grayscale:vbe.Grayscale,HSL:_be.HSL,HSV:bbe.HSV,Invert:Sbe.Invert,Kaleidoscope:wbe.Kaleidoscope,Mask:xbe.Mask,Noise:Cbe.Noise,Pixelate:Ebe.Pixelate,Posterize:Tbe.Posterize,RGB:Abe.RGB,RGBA:kbe.RGBA,Sepia:Pbe.Sepia,Solarize:Rbe.Solarize,Threshold:Obe.Threshold}});var Ibe=mT.exports;Object.defineProperty(Ibe,"__esModule",{value:!0});const Mbe=Db;mT.exports=Mbe.Konva;var Nbe=mT.exports;const jh=Dc(Nbe),Dbe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new jh.Stage({container:o,width:r,height:i}),a=new jh.Layer,l=new jh.Layer;return a.add(new jh.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new jh.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},Lbe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),pR=async(e,t)=>{const n=e.toDataURL(t);return await Lbe(n,t.width,t.height)},OT=async(e,t,n,r,i)=>{const o=pe("canvas"),s=Mb(),a=R0e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const c=u.getAbsolutePosition(),d={x:l.x+c.x,y:l.y+c.y,width:l.width,height:l.height},f=await w1(u,d),h=await pR(u,d),p=await Dbe(r?e.objects.filter(lD):[],l,i),m=await w1(p,l),b=await pR(p,l);return{baseBlob:f,baseImageData:h,maskBlob:m,maskImageData:b}},$be=()=>{xe({actionCreator:x0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await OT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Fn({title:"Problem Saving Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery;t(he.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Saved to Assets"}}}))}})},Fbe=()=>{xe({actionCreator:k0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await OT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Fn({title:"Problem Importing Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery,l=await t(he.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Sent to ControlNet & Assets"}}})).unwrap(),{image_name:u}=l;t(jc({controlNetId:e.payload.controlNet.controlNetId,controlImage:u}))}})},Bbe=async()=>{const e=Mb();if(!e)return;const t=e.clone();return t.scale({x:1,y:1}),w1(t,t.getClientRect())},zbe=()=>{xe({actionCreator:T0e,effect:async(e,{dispatch:t})=>{const n=tb.get().child({namespace:"canvasCopiedToClipboardListener"}),r=await Bbe();if(!r){n.error("Problem getting base layer blob"),t(Fn({title:"Problem Merging Canvas",description:"Unable to export base layer",status:"error"}));return}const i=Mb();if(!i){n.error("Problem getting canvas base layer"),t(Fn({title:"Problem Merging Canvas",description:"Unable to export base layer",status:"error"}));return}const o=i.getClientRect({relativeTo:i.getParent()}),s=await t(he.endpoints.uploadImage.initiate({file:new File([r],"mergedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Canvas Merged"}}})).unwrap(),{image_name:a}=s;t(Dne({kind:"image",layer:"base",imageName:a,...o}))}})},Ube=()=>{xe({actionCreator:w0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await Nb(i);if(!o){r.error("Problem getting base layer blob"),t(Fn({title:"Problem Saving Canvas",description:"Unable to export base layer",status:"error"}));return}const{autoAddBoardId:s}=i.gallery;t(he.endpoints.uploadImage.initiate({file:new File([o],"savedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!1,board_id:s==="none"?void 0:s,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Canvas Saved to Gallery"}}}))}})},jbe=(e,t,n)=>{var d;if(!(Hce.match(e)||S6.match(e)||jc.match(e)||qce.match(e)||w6.match(e))||w6.match(e)&&((d=n.controlNet.controlNets[e.payload.controlNetId])==null?void 0:d.shouldAutoConfig)===!0)return!1;const i=t.controlNet.controlNets[e.payload.controlNetId];if(!i)return!1;const{controlImage:o,processorType:s,shouldAutoConfig:a}=i;if(S6.match(e)&&!a)return!1;const l=s!=="none",u=t.system.isProcessing;return l&&!u&&!!o},Vbe=()=>{xe({predicate:jbe,effect:async(e,{dispatch:t,cancelActiveListeners:n,delay:r})=>{const i=pe("session"),{controlNetId:o}=e.payload;n(),i.trace("ControlNet auto-process triggered"),await r(300),t(HE({controlNetId:o}))}})},Yc=Me("system/sessionReadyToInvoke"),Cz=e=>(e==null?void 0:e.type)==="image_output",Gbe=()=>{xe({actionCreator:HE,effect:async(e,{dispatch:t,getState:n,take:r})=>{const i=pe("session"),{controlNetId:o}=e.payload,s=n().controlNet.controlNets[o];if(!(s!=null&&s.controlImage)){i.error("Unable to process ControlNet image");return}const a={nodes:{[s.processorNode.id]:{...s.processorNode,is_intermediate:!0,image:{image_name:s.controlImage}}}},l=t(Si({graph:a})),[u]=await r(f=>Si.fulfilled.match(f)&&f.meta.requestId===l.requestId),c=u.payload.id;t(Yc());const[d]=await r(f=>jE.match(f)&&f.payload.data.graph_execution_state_id===c);if(Cz(d.payload.data.result)){const{image_name:f}=d.payload.data.result.image,[{payload:h}]=await r(m=>he.endpoints.getImageDTO.matchFulfilled(m)&&m.payload.image_name===f),p=h;i.debug({controlNetId:e.payload,processedControlImage:p},"ControlNet image processed"),t(qE({controlNetId:o,processedControlImage:p.image_name}))}}})},Hbe=()=>{xe({matcher:he.endpoints.addImageToBoard.matchFulfilled,effect:e=>{const t=pe("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Image added to board")}})},qbe=()=>{xe({matcher:he.endpoints.addImageToBoard.matchRejected,effect:e=>{const t=pe("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Problem adding image to 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c=n==AS;(t.id===Rz||t.id===s3||t.id===NT||t.id===A1)&&t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:qe,field:"vae"}}),(t.id===Oz||t.id===a3||t.id===RS||t.id==jg)&&t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:a?qe:me,field:"vae"}}),(t.id===s3||t.id===A1||t.id===a3||t.id===jg)&&t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Dn,field:"vae"}}),(t.id===kS||t.id===PS||t.id===Mc||t.id===Nc)&&(t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Bn,field:"vae"}},{source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Ln,field:"vae"}},{source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:qe,field:"vae"}}),i!=="unmasked"&&t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Nt,field:"vae"}})),s&&(t.id===Mc||t.id===Nc)&&t.edges.push({source:{node_id:l?n:js,field:l&&c?"vae_decoder":"vae"},destination:{node_id:$a,field:"vae"}}),r&&u&&(u.vae=r)},ds=(e,t,n=qe)=>{const 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0,controlnets:[],loras:[],clip_skip:d,strength:u,init_image:t.image_name},A.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(p||m)&&(us(e,A,x),x=$r),hh(e,A,Fe),cs(e,A,x),Du(e,A),as(e,A,Fe),e.system.shouldUseNSFWChecker&&ls(e,A,me),e.system.shouldUseWatermarker&&ds(e,A,me),A},Z2e=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,maskBlurMethod:v,canvasCoherenceMode:g,canvasCoherenceSteps:y,canvasCoherenceStrength:S,clipSkip:w,seamlessXAxis:x,seamlessYAxis:E}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:A,height:T}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:k,boundingBoxScaleMethod:L,shouldAutoSave:N}=e.canvas,C=p==="fp32",P=["auto","manual"].includes(L);let D=Nu;const B=b,R={id:kS,nodes:{[D]:{type:"main_model_loader",id:D,is_intermediate:!0,model:s},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:w},[Be]:{type:"compel",id:Be,is_intermediate:!0,prompt:i},[Ve]:{type:"compel",id:Ve,is_intermediate:!0,prompt:o},[Ri]:{type:"img_blur",id:Ri,is_intermediate:!0,radius:_,blur_type:v},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:C},[we]:{type:"noise",id:we,use_cpu:B,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:C},[Fe]:{type:"denoise_latents",id:Fe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[gn]:{type:"noise",id:we,use_cpu:B,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-S,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:C},[me]:{type:"color_correct",id:me,is_intermediate:!N,reference:t},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:d,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:D,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:D,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Fe,field:"latents"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Fe,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:D,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Fe,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(P){const O=k.width,I=k.height;R.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:O,height:I,image:t},R.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:O,height:I,image:n},R.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:A,height:T},R.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:A,height:T},R.nodes[we].width=O,R.nodes[we].height=I,R.nodes[gn].width=O,R.nodes[gn].height=I,R.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Ri,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else R.nodes[we].width=A,R.nodes[we].height=T,R.nodes[gn].width=A,R.nodes[gn].height=T,R.nodes[Bn]={...R.nodes[Bn],image:t},R.nodes[Ri]={...R.nodes[Ri],image:n},R.nodes[Ln]={...R.nodes[Ln],image:t},R.edges.push({source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:me,field:"mask"}});if(g!=="unmasked"&&(R.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:C},P?R.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Nt,field:"image"}}):R.nodes[Nt]={...R.nodes[Nt],image:t},g==="mask"&&(P?R.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):R.nodes[Nt]={...R.nodes[Nt],mask:n}),g==="edge"&&(R.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},P?R.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):R.nodes[lr]={...R.nodes[lr],image:n},R.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),R.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:yt,field:"denoise_mask"}})),h){const O={id:Dr,type:"rand_int"};R.nodes[Dr]=O,R.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else R.nodes[Wn].start=f;return(x||E)&&(us(e,R,D),D=$r),cs(e,R,D),hh(e,R,Fe,D),as(e,R,Fe),e.system.shouldUseNSFWChecker&&ls(e,R,me),e.system.shouldUseWatermarker&&ds(e,R,me),R},J2e=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,canvasCoherenceMode:v,canvasCoherenceSteps:g,canvasCoherenceStrength:y,infillTileSize:S,infillPatchmatchDownscaleSize:w,infillMethod:x,clipSkip:E,seamlessXAxis:A,seamlessYAxis:T}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in 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O=b,I={id:PS,nodes:{[R]:{type:"main_model_loader",id:R,is_intermediate:!0,model:s},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:E},[Be]:{type:"compel",id:Be,is_intermediate:!0,prompt:i},[Ve]:{type:"compel",id:Ve,is_intermediate:!0,prompt:o},[hf]:{type:"tomask",id:hf,is_intermediate:!0,image:t},[mi]:{type:"mask_combine",id:mi,is_intermediate:!0,mask2:n},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:D},[we]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:D},[Fe]:{type:"denoise_latents",id:Fe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[gn]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-y,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:D},[me]:{type:"color_correct",id:me,is_intermediate:!P},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:d,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:hf,field:"image"},destination:{node_id:mi,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Fe,field:"latents"}},{source:{node_id:B?$n:mi,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Fe,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Fe,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(x==="patchmatch"&&(I.nodes[Bt]={type:"infill_patchmatch",id:Bt,is_intermediate:!0,downscale:w}),x==="lama"&&(I.nodes[Bt]={type:"infill_lama",id:Bt,is_intermediate:!0}),x==="cv2"&&(I.nodes[Bt]={type:"infill_cv2",id:Bt,is_intermediate:!0}),x==="tile"&&(I.nodes[Bt]={type:"infill_tile",id:Bt,is_intermediate:!0,tile_size:S}),B){const F=N.width,U=N.height;I.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:F,height:U,image:t},I.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:F,height:U},I.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:k,height:L},I.nodes[Vl]={type:"img_resize",id:Vl,is_intermediate:!0,width:k,height:L},I.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},I.nodes[we].width=F,I.nodes[we].height=U,I.nodes[gn].width=F,I.nodes[gn].height=U,I.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bt,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Vl,field:"image"}},{source:{node_id:Vl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else I.nodes[Bt]={...I.nodes[Bt],image:t},I.nodes[we].width=k,I.nodes[we].height=L,I.nodes[gn].width=k,I.nodes[gn].height=L,I.nodes[Bn]={...I.nodes[Bn],image:t},I.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:me,field:"mask"}});if(v!=="unmasked"&&(I.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:D},I.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:Nt,field:"image"}}),v==="mask"&&(B?I.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):I.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:Nt,field:"mask"}})),v==="edge"&&(I.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},B?I.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):I.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:lr,field:"image"}}),I.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),I.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:yt,field:"denoise_mask"}})),h){const F={id:Dr,type:"rand_int"};I.nodes[Dr]=F,I.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else I.nodes[Wn].start=f;return(A||T)&&(us(e,I,R),R=$r),cs(e,I,R),hh(e,I,Fe,R),as(e,I,Fe),e.system.shouldUseNSFWChecker&&ls(e,I,me),e.system.shouldUseWatermarker&&ds(e,I,me),I},ph=(e,t,n,r=Oi)=>{const{loras:i}=e.lora,o=k_(i),s=t.nodes[At],a=r;let l=r;[$r,$a].includes(r)&&(l=Oi),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;ns(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${Pz}_${f.replace(".","_")}`,b={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};s&&(s.loras||(s.loras=[]),s.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=b,c===0?(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[Mc,Nc].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:yt,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Be,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Ve,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Be,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Ve,field:"clip2"}})),u=m,c+=1})},Zc=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},gh=(e,t,n,r,i)=>{const{refinerModel:o,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:a,refinerSteps:l,refinerScheduler:u,refinerCFGScale:c,refinerStart:d}=e.sdxl,{seamlessXAxis:f,seamlessYAxis:h,vaePrecision:p}=e.generation,{boundingBoxScaleMethod:m}=e.canvas,b=p==="fp32",_=["auto","manual"].includes(m);if(!o)return;const v=t.nodes[At];v&&(v.refiner_model=o,v.refiner_positive_aesthetic_score=s,v.refiner_negative_aesthetic_score=a,v.refiner_cfg_scale=c,v.refiner_scheduler=u,v.refiner_start=d,v.refiner_steps=l);const g=r||Oi,{craftedPositiveStylePrompt:y,craftedNegativeStylePrompt:S}=Zc(e,!0);t.edges=t.edges.filter(w=>!(w.source.node_id===n&&["latents"].includes(w.source.field))),t.edges=t.edges.filter(w=>!(w.source.node_id===g&&["vae"].includes(w.source.field))),t.nodes[ju]={type:"sdxl_refiner_model_loader",id:ju,model:o},t.nodes[Jy]={type:"sdxl_refiner_compel_prompt",id:Jy,style:y,aesthetic_score:s},t.nodes[e0]={type:"sdxl_refiner_compel_prompt",id:e0,style:S,aesthetic_score:a},t.nodes[Vs]={type:"denoise_latents",id:Vs,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[Cs]={id:Cs,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:ju,field:"unet"},destination:{node_id:Cs,field:"unet"}},{source:{node_id:ju,field:"vae"},destination:{node_id:Cs,field:"vae"}},{source:{node_id:Cs,field:"unet"},destination:{node_id:Vs,field:"unet"}})):t.edges.push({source:{node_id:ju,field:"unet"},destination:{node_id:Vs,field:"unet"}}),t.edges.push({source:{node_id:ju,field:"clip2"},destination:{node_id:Jy,field:"clip2"}},{source:{node_id:ju,field:"clip2"},destination:{node_id:e0,field:"clip2"}},{source:{node_id:Jy,field:"conditioning"},destination:{node_id:Vs,field:"positive_conditioning"}},{source:{node_id:e0,field:"conditioning"},destination:{node_id:Vs,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:Vs,field:"latents"}}),(t.id===Mc||t.id===Nc)&&(t.nodes[$a]={type:"create_denoise_mask",id:$a,is_intermediate:!0,fp32:b},_?t.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:$a,field:"image"}}):t.nodes[$a]={...t.nodes[$a],image:i},t.edges.push({source:{node_id:_?$n:mi,field:"image"},destination:{node_id:$a,field:"mask"}},{source:{node_id:$a,field:"denoise_mask"},destination:{node_id:Vs,field:"denoise_mask"}})),t.id===RS||t.id===jg?t.edges.push({source:{node_id:Vs,field:"latents"},destination:{node_id:_?qe:me,field:"latents"}}):t.edges.push({source:{node_id:Vs,field:"latents"},destination:{node_id:qe,field:"latents"}})},ewe=(e,t)=>{const n=pe("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:v}=e.sdxl,{width:g,height:y}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:x}=e.canvas,E=u==="fp32",A=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let T=Oi;const k=f?d:Ls.shouldUseCpuNoise,{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:N}=Zc(e,v),C={id:jg,nodes:{[T]:{type:"sdxl_model_loader",id:T,model:o},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:r,style:L},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:i,style:N},[we]:{type:"noise",id:we,is_intermediate:!0,use_cpu:k,width:A?S.width:g,height:A?S.height:y},[Dn]:{type:"i2l",id:Dn,is_intermediate:!0,fp32:E},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Dn,field:"latents"},destination:{node_id:Re,field:"latents"}}]};return A?(C.nodes[ff]={id:ff,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},C.nodes[qe]={id:qe,type:"l2i",is_intermediate:!0,fp32:E},C.nodes[me]={id:me,type:"img_resize",is_intermediate:!x,width:g,height:y},C.edges.push({source:{node_id:ff,field:"image"},destination:{node_id:Dn,field:"image"}},{source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(C.nodes[me]={type:"l2i",id:me,is_intermediate:!x,fp32:E},C.nodes[Dn].image=t,C.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),C.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:A?S.width:g,height:A?S.height:y,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:k?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},C.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(h||p)&&(us(e,C,T),T=$r),m&&(gh(e,C,Re,T),(h||p)&&(T=Cs)),cs(e,C,T),ph(e,C,Re,T),Du(e,C),as(e,C,Re),e.system.shouldUseNSFWChecker&&ls(e,C,me),e.system.shouldUseWatermarker&&ds(e,C,me),C},twe=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceMode:v,canvasCoherenceSteps:g,canvasCoherenceStrength:y,seamlessXAxis:S,seamlessYAxis:w}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:E,refinerStart:A,shouldConcatSDXLStylePrompt:T}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:k,height:L}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:N,boundingBoxScaleMethod:C,shouldAutoSave:P}=e.canvas,D=h==="fp32",B=["auto","manual"].includes(C);let R=Oi;const O=m,{craftedPositiveStylePrompt:I,craftedNegativeStylePrompt:F}=Zc(e,T),U={id:Mc,nodes:{[R]:{type:"sdxl_model_loader",id:R,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:I},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:F},[Ri]:{type:"img_blur",id:Ri,is_intermediate:!0,radius:b,blur_type:_},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:D},[we]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:D},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:E?Math.min(A,1-x):1-x,denoising_end:E?A:1},[gn]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-y,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:D},[me]:{type:"color_correct",id:me,is_intermediate:!P,reference:t},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:c,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:R,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(B){const V=N.width,H=N.height;U.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:V,height:H,image:t},U.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:V,height:H,image:n},U.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:k,height:L},U.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},U.nodes[we].width=V,U.nodes[we].height=H,U.nodes[gn].width=V,U.nodes[gn].height=H,U.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Ri,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else 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V={id:Dr,type:"rand_int"};U.nodes[Dr]=V,U.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else U.nodes[Wn].start=d;return(S||w)&&(us(e,U,R),R=$r),E&&(gh(e,U,yt,R,t),(S||w)&&(R=Cs)),cs(e,U,R),ph(e,U,Re,R),as(e,U,Re),e.system.shouldUseNSFWChecker&&ls(e,U,me),e.system.shouldUseWatermarker&&ds(e,U,me),U},nwe=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,canvasCoherenceMode:_,canvasCoherenceSteps:v,canvasCoherenceStrength:g,infillTileSize:y,infillPatchmatchDownscaleSize:S,infillMethod:w,seamlessXAxis:x,seamlessYAxis:E}=e.generation,{sdxlImg2ImgDenoisingStrength:A,shouldUseSDXLRefiner:T,refinerStart:k,shouldConcatSDXLStylePrompt:L}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in 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F=m,{craftedPositiveStylePrompt:U,craftedNegativeStylePrompt:V}=Zc(e,L),H={id:Nc,nodes:{[Oi]:{type:"sdxl_model_loader",id:Oi,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:U},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:V},[hf]:{type:"tomask",id:hf,is_intermediate:!0,image:t},[mi]:{type:"mask_combine",id:mi,is_intermediate:!0,mask2:n},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:R},[we]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:R},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:T?Math.min(k,1-A):1-A,denoising_end:T?k:1},[gn]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:v,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:R},[me]:{type:"color_correct",id:me,is_intermediate:!B},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:c,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:Oi,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:Oi,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Oi,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:Oi,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Oi,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:hf,field:"image"},destination:{node_id:mi,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:O?$n:mi,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:I,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(w==="patchmatch"&&(H.nodes[Bt]={type:"infill_patchmatch",id:Bt,is_intermediate:!0,downscale:S}),w==="lama"&&(H.nodes[Bt]={type:"infill_lama",id:Bt,is_intermediate:!0}),w==="cv2"&&(H.nodes[Bt]={type:"infill_cv2",id:Bt,is_intermediate:!0}),w==="tile"&&(H.nodes[Bt]={type:"infill_tile",id:Bt,is_intermediate:!0,tile_size:y}),O){const Y=P.width,Q=P.height;H.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:Y,height:Q,image:t},H.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:Y,height:Q},H.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:N,height:C},H.nodes[Vl]={type:"img_resize",id:Vl,is_intermediate:!0,width:N,height:C},H.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:N,height:C},H.nodes[we].width=Y,H.nodes[we].height=Q,H.nodes[gn].width=Y,H.nodes[gn].height=Q,H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bt,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Vl,field:"image"}},{source:{node_id:Vl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else H.nodes[Bt]={...H.nodes[Bt],image:t},H.nodes[we].width=N,H.nodes[we].height=C,H.nodes[gn].width=N,H.nodes[gn].height=C,H.nodes[Bn]={...H.nodes[Bn],image:t},H.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:me,field:"mask"}});if(_!=="unmasked"&&(H.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:R},H.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:Nt,field:"image"}}),_==="mask"&&(O?H.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):H.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:Nt,field:"mask"}})),_==="edge"&&(H.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},O?H.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):H.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:lr,field:"image"}}),H.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),H.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:yt,field:"denoise_mask"}})),f){const Y={id:Dr,type:"rand_int"};H.nodes[Dr]=Y,H.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else H.nodes[Wn].start=d;return(x||E)&&(us(e,H,I),I=$r),T&&(gh(e,H,yt,I,t),(x||E)&&(I=Cs)),cs(e,H,I),ph(e,H,Re,I),as(e,H,Re),e.system.shouldUseNSFWChecker&&ls(e,H,me),e.system.shouldUseWatermarker&&ds(e,H,me),H},rwe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:v}=e.canvas,g=l==="fp32",y=["auto","manual"].includes(_),{shouldUseSDXLRefiner:S,refinerStart:w,shouldConcatSDXLStylePrompt:x}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const E=d?c:Ls.shouldUseCpuNoise,A=i.model_type==="onnx";let T=A?AS:Oi;const k=A?"onnx_model_loader":"sdxl_model_loader",L=A?{type:"t2l_onnx",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:S?w:1},{craftedPositiveStylePrompt:N,craftedNegativeStylePrompt:C}=Zc(e,x),P={id:RS,nodes:{[T]:{type:k,id:T,is_intermediate:!0,model:i},[Be]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Be,is_intermediate:!0,prompt:n,style:N},[Ve]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Ve,is_intermediate:!0,prompt:r,style:C},[we]:{type:"noise",id:we,is_intermediate:!0,width:y?b.width:p,height:y?b.height:m,use_cpu:E},[L.id]:L},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}}]};return y?(P.nodes[qe]={id:qe,type:A?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},P.nodes[me]={id:me,type:"img_resize",is_intermediate:!v,width:p,height:m},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(P.nodes[me]={type:A?"l2i_onnx":"l2i",id:me,is_intermediate:!v,fp32:g},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),P.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:y?b.width:p,height:y?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:E?"cpu":"cuda",scheduler:s,vae:void 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E=w?"onnx_model_loader":"main_model_loader",A=w?{type:"t2l_onnx",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},T={id:Oz,nodes:{[x]:{type:E,id:x,is_intermediate:!0,model:i},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:u},[Be]:{type:w?"prompt_onnx":"compel",id:Be,is_intermediate:!0,prompt:n},[Ve]:{type:w?"prompt_onnx":"compel",id:Ve,is_intermediate:!0,prompt:r},[we]:{type:"noise",id:we,is_intermediate:!0,width:y?b.width:p,height:y?b.height:m,use_cpu:S},[A.id]:A},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}}]};return y?(T.nodes[qe]={id:qe,type:w?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},T.nodes[me]={id:me,type:"img_resize",is_intermediate:!v,width:p,height:m},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(T.nodes[me]={type:w?"l2i_onnx":"l2i",id:me,is_intermediate:!v,fp32:g},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:me,field:"latents"}})),T.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:y?b.width:p,height:y?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 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this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=qz()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!i0}}class sxe extends zT{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=Vwe(Number.MAX_SAFE_INTEGER,this.socket.binaryType),r=t.readable.pipeThrough(n).getReader(),i=jwe();i.readable.pipeTo(t.writable),this.writer=i.writable.getWriter();const o=()=>{r.read().then(({done:a,value:l})=>{a||(this.onPacket(l),o())}).catch(a=>{})};o();const s={type:"open"};this.query.sid&&(s.data=`{"sid":"${this.query.sid}"}`),this.writer.write(s).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;this.writer.write(r).then(()=>{i&&UT(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const axe={websocket:oxe,webtransport:sxe,polling:rxe},lxe=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,uxe=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function c3(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=lxe.exec(e||""),o={},s=14;for(;s--;)o[uxe[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=cxe(o,o.path),o.queryKey=dxe(o,o.query),o}function cxe(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function dxe(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Xz=class Td extends kr{constructor(t,n={}){super(),this.binaryType=ixe,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=c3(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=c3(n.host).host),OS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=Ywe(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Vz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new axe[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Td.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Td.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Td.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Td.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),this.resetPingTimeout(),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=Kwe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Td.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Xz.protocol=Vz;function fxe(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=c3(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const hxe=typeof ArrayBuffer=="function",pxe=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,Qz=Object.prototype.toString,gxe=typeof Blob=="function"||typeof Blob<"u"&&Qz.call(Blob)==="[object BlobConstructor]",mxe=typeof File=="function"||typeof File<"u"&&Qz.call(File)==="[object FileConstructor]";function jT(e){return hxe&&(e instanceof ArrayBuffer||pxe(e))||gxe&&e instanceof Blob||mxe&&e instanceof File}function j0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(j0(e[n]))return!0;return!1}if(jT(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return j0(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&j0(e[n]))return!0;return!1}function yxe(e){const t=[],n=e.data,r=e;return r.data=d3(n,t),r.attachments=t.length,{packet:r,buffers:t}}function d3(e,t){if(!e)return e;if(jT(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=d3(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=d3(e[r],t));return n}return e}function vxe(e,t){return e.data=f3(e.data,t),delete e.attachments,e}function f3(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=f3(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=f3(e[n],t));return e}const _xe=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],bxe=5;var It;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(It||(It={}));class Sxe{constructor(t){this.replacer=t}encode(t){return(t.type===It.EVENT||t.type===It.ACK)&&j0(t)?this.encodeAsBinary({type:t.type===It.EVENT?It.BINARY_EVENT:It.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===It.BINARY_EVENT||t.type===It.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=yxe(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function $R(e){return Object.prototype.toString.call(e)==="[object Object]"}class VT extends kr{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===It.BINARY_EVENT;r||n.type===It.BINARY_ACK?(n.type=r?It.EVENT:It.ACK,this.reconstructor=new wxe(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(jT(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(It[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===It.BINARY_EVENT||r.type===It.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(VT.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case It.CONNECT:return $R(n);case It.DISCONNECT:return n===void 0;case It.CONNECT_ERROR:return typeof n=="string"||$R(n);case It.EVENT:case It.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&_xe.indexOf(n[0])===-1);case It.ACK:case It.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class wxe{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=vxe(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const xxe=Object.freeze(Object.defineProperty({__proto__:null,Decoder:VT,Encoder:Sxe,get PacketType(){return It},protocol:bxe},Symbol.toStringTag,{value:"Module"}));function _s(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const Cxe=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Yz extends kr{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[_s(t,"open",this.onopen.bind(this)),_s(t,"packet",this.onpacket.bind(this)),_s(t,"error",this.onerror.bind(this)),_s(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(Cxe.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:It.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:It.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case It.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case It.EVENT:case It.BINARY_EVENT:this.onevent(t);break;case It.ACK:case It.BINARY_ACK:this.onack(t);break;case It.DISCONNECT:this.ondisconnect();break;case It.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:It.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:It.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return 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0:t()){this.id=P4e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Qu.totalNodes=Qu.resolvedTargetDeltas=Qu.recalculatedProjection=0,this.nodes.forEach(I4e),this.nodes.forEach($4e),this.nodes.forEach(F4e),this.nodes.forEach(M4e),T4e(Qu)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new C4e)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new S4),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=A4e(s),this.instance=s;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=E4e(f,250),Q0.hasAnimatedSinceResize&&(Q0.hasAnimatedSinceResize=!1,this.nodes.forEach(YO))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||V4e,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),v=!this.targetLayout||!Dj(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(v||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const y={...bj(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(y.delay=0,y.type=!1),this.startAnimation(y)}else f||YO(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,ll(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(B4e),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(QO);return}this.isUpdating||this.nodes.forEach(D4e),this.isUpdating=!1,this.nodes.forEach(L4e),this.nodes.forEach(R4e),this.nodes.forEach(O4e),this.clearAllSnapshots();const a=performance.now();Pi.delta=_u(0,1e3/60,a-Pi.timestamp),Pi.timestamp=a,Pi.isProcessing=!0,Nw.update.process(Pi),Nw.preRender.process(Pi),Nw.render.process(Pi),Pi.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(N4e),this.sharedNodes.forEach(z4e)}scheduleUpdateProjection(){En.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){En.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Er(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Nj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;s&&(a||Xu(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),G4e(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Er();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(Rl(a.x,l.offset.x),Rl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Er();Vo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){Vo(a,s);const{scroll:f}=this.root;f&&(Rl(a.x,-f.offset.x),Rl(a.y,-f.offset.y))}Rl(a.x,c.offset.x),Rl(a.y,c.offset.y)}}return a}applyTransform(s,a=!1){const l=Er();Vo(l,s);for(let u=0;u<this.path.length;u++){const c=this.path[u];!a&&c.options.layoutScroll&&c.scroll&&c!==c.root&&Hd(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),Xu(c.latestValues)&&Hd(l,c.latestValues)}return Xu(this.latestValues)&&Hd(l,this.latestValues),l}removeTransform(s){const a=Er();Vo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Xu(u.latestValues))continue;I3(u.latestValues)&&u.updateSnapshot();const c=Er(),d=u.measurePageBox();Vo(c,d),GO(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return Xu(this.latestValues)&&GO(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Pi.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=Pi.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Er(),this.relativeTargetOrigin=Er(),Ap(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),Vo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Er(),this.targetWithTransforms=Er()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),HTe(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):Vo(this.target,this.layout.layoutBox),Pj(this.target,this.targetDelta)):Vo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Er(),this.relativeTargetOrigin=Er(),Ap(this.relativeTargetOrigin,this.target,h.target),Vo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Qu.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||I3(this.parent.latestValues)||kj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===Pi.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;Vo(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;e4e(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:p}=a;if(!p){this.projectionTransform&&(this.projectionDelta=Gd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Gd(),this.projectionDeltaWithTransform=Gd());const m=this.projectionTransform;Tp(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=WO(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Qu.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=Gd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const f=Er(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,b=this.getStack(),_=!b||b.members.length<=1,v=!!(m&&!_&&this.options.crossfade===!0&&!this.path.some(j4e));this.animationProgress=0;let g;this.mixTargetDelta=y=>{const S=y/1e3;ZO(d.x,s.x,S),ZO(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Ap(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),U4e(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&S4e(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=Er()),Vo(g,this.relativeTarget)),m&&(this.animationValues=c,g4e(c,u,this.latestValues,S,v,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(ll(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=En.update(()=>{Q0.hasAnimatedSinceResize=!0,this.currentAnimation=k4e(0,XO,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(XO),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&$j(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Er();const d=No(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=No(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}Vo(a,l),Hd(a,c),Tp(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new w4e),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c<KO.length;c++){const d="rotate"+KO[c];l[d]&&(u[d]=l[d],s.setStaticValue(d,0))}s.render();for(const c in u)s.setStaticValue(c,u[c]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=X0(s.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=X0(s.pointerEvents)||""),this.hasProjected&&!Xu(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=WO(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(a=f.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in I1){if(f[m]===void 0)continue;const{correct:b,applyTo:_}=I1[m],v=u.transform==="none"?f[m]:b(f[m],d);if(_){const g=_.length;for(let y=0;y<g;y++)u[_[y]]=v}else u[m]=v}return this.options.layoutId&&(u.pointerEvents=d===this?X0(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(QO),this.root.sharedNodes.clear()}}}function R4e(e){e.updateLayout()}function O4e(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=No(f);f.min=r[d].min,f.max=f.min+h}):$j(o,n.layoutBox,r)&&qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=No(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=Gd();Tp(a,r,n.layoutBox);const l=Gd();s?Tp(l,e.applyTransform(i,!0),n.measuredBox):Tp(l,r,n.layoutBox);const u=!Nj(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=Er();Ap(p,n.layoutBox,f.layoutBox);const m=Er();Ap(m,r,h.layoutBox),Dj(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function I4e(e){Qu.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function M4e(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function N4e(e){e.clearSnapshot()}function QO(e){e.clearMeasurements()}function D4e(e){e.isLayoutDirty=!1}function L4e(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function YO(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function $4e(e){e.resolveTargetDelta()}function F4e(e){e.calcProjection()}function B4e(e){e.resetRotation()}function z4e(e){e.removeLeadSnapshot()}function ZO(e,t,n){e.translate=tr(t.translate,0,n),e.scale=tr(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function JO(e,t,n,r){e.min=tr(t.min,n.min,r),e.max=tr(t.max,n.max,r)}function U4e(e,t,n,r){JO(e.x,t.x,n.x,r),JO(e.y,t.y,n.y,r)}function j4e(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const V4e={duration:.45,ease:[.4,0,.1,1]},eI=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),tI=eI("applewebkit/")&&!eI("chrome/")?Math.round:ur;function nI(e){e.min=tI(e.min),e.max=tI(e.max)}function G4e(e){nI(e.x),nI(e.y)}function $j(e,t,n){return e==="position"||e==="preserve-aspect"&&!R3(qO(t),qO(n),.2)}const H4e=Lj({attachResizeListener:(e,t)=>qa(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),Hw={current:void 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k=m.scrollTop+f.y,L=b===xn.Down&&k<=S.y||b===xn.Up&&k>=w.y;if(L&&!f.x){m.scrollTo({top:k,behavior:a});return}L?h.y=m.scrollTop-k:h.y=b===xn.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,mf(H1(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}fV.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=dV,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function yI(e){return!!(e&&"distance"in e)}function vI(e){return!!(e&&"delay"in e)}class P4{constructor(t,n,r){var i;r===void 0&&(r=zke(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=_h(s),this.documentListeners=new kp(this.document),this.listeners=new kp(r),this.windowListeners=new kp(Ji(s)),this.initialCoordinates=(i=Jg(o))!=null?i:Ds,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(Ho.Resize,this.handleCancel),this.windowListeners.add(Ho.DragStart,mI),this.windowListeners.add(Ho.VisibilityChange,this.handleCancel),this.windowListeners.add(Ho.ContextMenu,mI),this.documentListeners.add(Ho.Keydown,this.handleKeydown),n){if(yI(n))return;if(vI(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(Ho.Click,Uke,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Ho.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=Jg(t))!=null?n:Ds,u=H1(i,l);if(!r&&a){if(vI(a))return Xw(u,a.tolerance)?this.handleCancel():void 0;if(yI(a))return a.tolerance!=null&&Xw(u,a.tolerance)?this.handleCancel():Xw(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===xn.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const Vke={move:{name:"pointermove"},end:{name:"pointerup"}};class hV extends P4{constructor(t){const{event:n}=t,r=_h(n.target);super(t,Vke,r)}}hV.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const Gke={move:{name:"mousemove"},end:{name:"mouseup"}};var G3;(function(e){e[e.RightClick=2]="RightClick"})(G3||(G3={}));class pV extends P4{constructor(t){super(t,Gke,_h(t.event.target))}}pV.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===G3.RightClick?!1:(r==null||r({event:n}),!0)}}];const Qw={move:{name:"touchmove"},end:{name:"touchend"}};class gV extends P4{constructor(t){super(t,Qw)}static setup(){return window.addEventListener(Qw.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(Qw.move.name,t)};function t(){}}}gV.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Pp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Pp||(Pp={}));var W1;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(W1||(W1={}));function Hke(e){let{acceleration:t,activator:n=Pp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=W1.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=Wke({delta:d,disabled:!o}),[p,m]=tke(),b=M.useRef({x:0,y:0}),_=M.useRef({x:0,y:0}),v=M.useMemo(()=>{switch(n){case Pp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Pp.DraggableRect:return i}},[n,i,l]),g=M.useRef(null),y=M.useCallback(()=>{const w=g.current;if(!w)return;const x=b.current.x*_.current.x,E=b.current.y*_.current.y;w.scrollBy(x,E)},[]),S=M.useMemo(()=>a===W1.TreeOrder?[...u].reverse():u,[a,u]);M.useEffect(()=>{if(!o||!u.length||!v){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),E=c[x];if(!E)continue;const{direction:A,speed:T}=Dke(w,E,v,t,f);for(const k of["x","y"])h[k][A[k]]||(T[k]=0,A[k]=0);if(T.x>0||T.y>0){m(),g.current=w,p(y,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,y,r,m,o,s,JSON.stringify(v),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const qke={x:{[Jr.Backward]:!1,[Jr.Forward]:!1},y:{[Jr.Backward]:!1,[Jr.Forward]:!1}};function Wke(e){let{delta:t,disabled:n}=e;const r=G1(t);return Xm(i=>{if(n||!r||!i)return qke;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[Jr.Backward]:i.x[Jr.Backward]||o.x===-1,[Jr.Forward]:i.x[Jr.Forward]||o.x===1},y:{[Jr.Backward]:i.y[Jr.Backward]||o.y===-1,[Jr.Forward]:i.y[Jr.Forward]||o.y===1}}},[n,t,r])}function Kke(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Xm(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function Xke(e,t){return M.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var tm;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(tm||(tm={}));var H3;(function(e){e.Optimized="optimized"})(H3||(H3={}));const _I=new Map;function Qke(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=M.useState(null),{frequency:a,measure:l,strategy:u}=i,c=M.useRef(e),d=b(),f=Zg(d),h=M.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(v=>v===null?_:v.concat(_.filter(g=>!v.includes(g))))},[f]),p=M.useRef(null),m=Xm(_=>{if(d&&!n)return _I;if(!_||_===_I||c.current!==e||o!=null){const v=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){v.set(g.id,g.rect.current);continue}const y=g.node.current,S=y?new k4(l(y),y):null;g.rect.current=S,S&&v.set(g.id,S)}return v}return _},[e,o,n,d,l]);return M.useEffect(()=>{c.current=e},[e]),M.useEffect(()=>{d||h()},[n,d]),M.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),M.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case tm.Always:return!1;case tm.BeforeDragging:return n;default:return!n}}}function R4(e,t){return Xm(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function Yke(e,t){return R4(e,t)}function Zke(e){let{callback:t,disabled:n}=e;const r=HS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function WS(e){let{callback:t,disabled:n}=e;const r=HS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function Jke(e){return new k4(Qm(e),e)}function bI(e,t,n){t===void 0&&(t=Jke);const[r,i]=M.useReducer(a,null),o=Zke({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=WS({callback:i});return va(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function ePe(e){const t=R4(e);return nV(e,t)}const SI=[];function tPe(e){const t=M.useRef(e),n=Xm(r=>e?r&&r!==SI&&e&&t.current&&e.parentNode===t.current.parentNode?r:A4(e):SI,[e]);return M.useEffect(()=>{t.current=e},[e]),n}function nPe(e){const[t,n]=M.useState(null),r=M.useRef(e),i=M.useCallback(o=>{const s=Kw(o.target);s&&n(a=>a?(a.set(s,V3(s)),new Map(a)):null)},[]);return M.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=Kw(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,V3(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=Kw(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),M.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>mf(o,s),Ds):uV(e):Ds,[e,t])}function wI(e,t){t===void 0&&(t=[]);const n=M.useRef(null);return M.useEffect(()=>{n.current=null},t),M.useEffect(()=>{const r=e!==Ds;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?H1(e,n.current):Ds}function rPe(e){M.useEffect(()=>{if(!GS)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function iPe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function mV(e){return M.useMemo(()=>e?Oke(e):null,[e])}const Yw=[];function oPe(e,t){t===void 0&&(t=Qm);const[n]=e,r=mV(n?Ji(n):null),[i,o]=M.useReducer(a,Yw),s=WS({callback:o});return e.length>0&&i===Yw&&o(),va(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>aV(l)?r:new k4(t(l),l)):Yw}}function yV(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Km(t)?t:e}function sPe(e){let{measure:t}=e;const[n,r]=M.useState(null),i=M.useCallback(u=>{for(const{target:c}of u)if(Km(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=WS({callback:i}),s=M.useCallback(u=>{const c=yV(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=V1(s);return M.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const aPe=[{sensor:hV,options:{}},{sensor:fV,options:{}}],lPe={current:{}},Y0={draggable:{measure:gI},droppable:{measure:gI,strategy:tm.WhileDragging,frequency:H3.Optimized},dragOverlay:{measure:Qm}};class Rp extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const uPe={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Rp,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:q1},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Y0,measureDroppableContainers:q1,windowRect:null,measuringScheduled:!1},vV={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:q1,draggableNodes:new Map,over:null,measureDroppableContainers:q1},Ym=M.createContext(vV),_V=M.createContext(uPe);function cPe(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new Rp}}}function dPe(e,t){switch(t.type){case Lr.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case Lr.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case Lr.DragEnd:case Lr.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case Lr.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new Rp(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case Lr.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const s=new Rp(e.droppable.containers);return s.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:s}}}case Lr.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new Rp(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function fPe(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=M.useContext(Ym),o=G1(r),s=G1(n==null?void 0:n.id);return M.useEffect(()=>{if(!t&&!r&&o&&s!=null){if(!T4(o)||document.activeElement===o.target)return;const a=i.get(s);if(!a)return;const{activatorNode:l,node:u}=a;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=ike(c);if(d){d.focus();break}}})}},[r,t,i,s,o]),null}function bV(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function hPe(e){return M.useMemo(()=>({draggable:{...Y0.draggable,...e==null?void 0:e.draggable},droppable:{...Y0.droppable,...e==null?void 0:e.droppable},dragOverlay:{...Y0.dragOverlay,...e==null?void 0:e.dragOverlay}}),[e==null?void 0:e.draggable,e==null?void 0:e.droppable,e==null?void 0:e.dragOverlay])}function pPe(e){let{activeNode:t,measure:n,initialRect:r,config:i=!0}=e;const o=M.useRef(!1),{x:s,y:a}=typeof i=="boolean"?{x:i,y:i}:i;va(()=>{if(!s&&!a||!t){o.current=!1;return}if(o.current||!r)return;const u=t==null?void 0:t.node.current;if(!u||u.isConnected===!1)return;const c=n(u),d=nV(c,r);if(s||(d.x=0),a||(d.y=0),o.current=!0,Math.abs(d.x)>0||Math.abs(d.y)>0){const f=iV(u);f&&f.scrollBy({top:d.y,left:d.x})}},[t,s,a,r,n])}const KS=M.createContext({...Ds,scaleX:1,scaleY:1});var Ol;(function(e){e[e.Uninitialized=0]="Uninitialized",e[e.Initializing=1]="Initializing",e[e.Initialized=2]="Initialized"})(Ol||(Ol={}));const gPe=M.memo(function(t){var n,r,i,o;let{id:s,accessibility:a,autoScroll:l=!0,children:u,sensors:c=aPe,collisionDetection:d=xke,measuring:f,modifiers:h,...p}=t;const m=M.useReducer(dPe,void 0,cPe),[b,_]=m,[v,g]=dke(),[y,S]=M.useState(Ol.Uninitialized),w=y===Ol.Initialized,{draggable:{active:x,nodes:E,translate:A},droppable:{containers:T}}=b,k=x?E.get(x):null,L=M.useRef({initial:null,translated:null}),N=M.useMemo(()=>{var Pn;return x!=null?{id:x,data:(Pn=k==null?void 0:k.data)!=null?Pn:lPe,rect:L}:null},[x,k]),C=M.useRef(null),[P,D]=M.useState(null),[B,R]=M.useState(null),O=Zg(p,Object.values(p)),I=qS("DndDescribedBy",s),F=M.useMemo(()=>T.getEnabled(),[T]),U=hPe(f),{droppableRects:V,measureDroppableContainers:H,measuringScheduled:Y}=Qke(F,{dragging:w,dependencies:[A.x,A.y],config:U.droppable}),Q=Kke(E,x),j=M.useMemo(()=>B?Jg(B):null,[B]),K=Ea(),ee=Yke(Q,U.draggable.measure);pPe({activeNode:x?E.get(x):null,config:K.layoutShiftCompensation,initialRect:ee,measure:U.draggable.measure});const ie=bI(Q,U.draggable.measure,ee),ge=bI(Q?Q.parentElement:null),ae=M.useRef({activatorEvent:null,active:null,activeNode:Q,collisionRect:null,collisions:null,droppableRects:V,draggableNodes:E,draggingNode:null,draggingNodeRect:null,droppableContainers:T,over:null,scrollableAncestors:[],scrollAdjustedTranslate:null}),dt=T.getNodeFor((n=ae.current.over)==null?void 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diff --git a/invokeai/frontend/web/dist/assets/index-a548858c.js b/invokeai/frontend/web/dist/assets/index-a548858c.js
new file mode 100644
index 0000000000..578796b1e1
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/index-a548858c.js
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+ * LICENSE file in the root directory of this source tree.
+ */var BV=M,zV=Symbol.for("react.element"),UV=Symbol.for("react.fragment"),jV=Object.prototype.hasOwnProperty,VV=BV.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner,GV={key:!0,ref:!0,__self:!0,__source:!0};function $I(e,t,n){var r,i={},o=null,s=null;n!==void 0&&(o=""+n),t.key!==void 0&&(o=""+t.key),t.ref!==void 0&&(s=t.ref);for(r in t)jV.call(t,r)&&!GV.hasOwnProperty(r)&&(i[r]=t[r]);if(e&&e.defaultProps)for(r in t=e.defaultProps,t)i[r]===void 0&&(i[r]=t[r]);return{$$typeof:zV,type:e,key:o,ref:s,props:i,_owner:VV.current}}X1.Fragment=UV;X1.jsx=$I;X1.jsxs=$I;kI.exports=X1;var Z=kI.exports,Zw={},FI={exports:{}},Lo={},BI={exports:{}},zI={};/**
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t.flags&128?(t.lanes=n,t):(r=r!==null,r!==(e!==null&&e.memoizedState!==null)&&r&&(t.child.flags|=8192,t.mode&1&&(e===null||Jn.current&1?Fr===0&&(Fr=3):N5())),t.updateQueue!==null&&(t.flags|=4),Ai(t),null);case 4:return xf(),Lx(e,t),e===null&&zp(t.stateNode.containerInfo),Ai(t),null;case 10:return y5(t.type._context),Ai(t),null;case 17:return fo(t.type)&&av(),Ai(t),null;case 19:if(zn(Jn),o=t.memoizedState,o===null)return 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o=n.lanes|n.childLanes;if(mG(e,o),e===ti&&(Ar=ti=null,_i=0),!(n.subtreeFlags&2064)&&!(n.flags&2064)||hy||(hy=!0,LM(tv,function(){return Jd(),null})),o=(n.flags&15990)!==0,n.subtreeFlags&15990||o){o=Zo.transition,Zo.transition=null;var s=sn;sn=1;var a=$t;$t|=4,P5.current=null,RH(e,n),AM(n,e),nH(Sx),rv=!!bx,Sx=bx=null,e.current=n,OH(n),aG(),$t=a,sn=s,Zo.transition=o}else e.current=n;if(hy&&(hy=!1,Bl=e,_v=i),o=e.pendingLanes,o===0&&(Ql=null),cG(n.stateNode),ho(e,mr()),t!==null)for(r=e.onRecoverableError,n=0;n<t.length;n++)i=t[n],r(i.value,{componentStack:i.stack,digest:i.digest});if(vv)throw vv=!1,e=Ux,Ux=null,e;return _v&1&&e.tag!==0&&Jd(),o=e.pendingLanes,o&1?e===jx?gp++:(gp=0,jx=e):gp=0,Cu(),null}function Jd(){if(Bl!==null){var e=f9(_v),t=Zo.transition,n=sn;try{if(Zo.transition=null,sn=16>e?16:e,Bl===null)var r=!1;else{if(e=Bl,Bl=null,_v=0,$t&6)throw Error(oe(331));var i=$t;for($t|=4,Ie=e.current;Ie!==null;){var o=Ie,s=o.child;if(Ie.flags&16){var a=o.deletions;if(a!==null){for(var 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r=[];for(const i of n){if(i.status==="aborted")return ct;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Fi.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return ct;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const ct=Object.freeze({status:"aborted"}),Y7=e=>({status:"dirty",value:e}),Xi=e=>({status:"valid",value:e}),uC=e=>e.status==="aborted",cC=e=>e.status==="dirty",sg=e=>e.status==="valid",Nv=e=>typeof Promise<"u"&&e instanceof Promise;var Ze;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Ze||(Ze={}));class pa{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const Uk=(e,t)=>{if(sg(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Ps(e.common.issues);return this._error=n,this._error}}};function mt(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class bt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return Dl(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:Dl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Fi,ctx:{common:t.parent.common,data:t.data,parsedType:Dl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(Nv(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Dl(t)},o=this._parseSync({data:t,path:i.path,parent:i});return Uk(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Dl(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(Nv(i)?i:Promise.resolve(i));return Uk(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:ce.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new Ns({schema:this,typeName:nt.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Ka.create(this,this._def)}nullable(){return Tc.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Rs.create(this,this._def)}promise(){return If.create(this,this._def)}or(t){return cg.create([this,t],this._def)}and(t){return dg.create(this,t,this._def)}transform(t){return new Ns({...mt(this._def),schema:this,typeName:nt.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new mg({...mt(this._def),innerType:this,defaultValue:n,typeName:nt.ZodDefault})}brand(){return new J7({typeName:nt.ZodBranded,type:this,...mt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new Fv({...mt(this._def),innerType:this,catchValue:n,typeName:nt.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return Sm.create(this,t)}readonly(){return zv.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const nte=/^c[^\s-]{8,}$/i,rte=/^[a-z][a-z0-9]*$/,ite=/[0-9A-HJKMNP-TV-Z]{26}/,ote=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,ste=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,ate=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,lte=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,ute=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,cte=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function dte(e,t){return!!((t==="v4"||!t)&&lte.test(e)||(t==="v6"||!t)&&ute.test(e))}class Es extends bt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:ce.invalid_string,...Ze.errToObj(r)}),this.nonempty=t=>this.min(1,Ze.errToObj(t)),this.trim=()=>new Es({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Es({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Es({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==ke.string){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.string,received:o.parsedType}),ct}const r=new Fi;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Pe(i,{code:ce.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Pe(i,{code:ce.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")ste.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"email",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")ate.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"emoji",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")ote.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"uuid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")nte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"cuid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")rte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"cuid2",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")ite.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"ulid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Pe(i,{validation:"url",code:ce.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"regex",code:ce.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?cte(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?dte(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"ip",code:ce.invalid_string,message:o.message}),r.dirty()):Ut.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Es({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Ze.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Ze.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Ze.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Ze.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Ze.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Ze.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Ze.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Ze.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Ze.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Ze.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Ze.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Ze.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Ze.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Ze.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Ze.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Ze.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Es.create=e=>{var t;return new Es({checks:[],typeName:nt.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...mt(e)})};function fte(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class fu extends bt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==ke.number){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.number,received:o.parsedType}),ct}let r;const i=new Fi;for(const o of this._def.checks)o.kind==="int"?Ut.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?fte(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_finite,message:o.message}),i.dirty()):Ut.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new fu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new fu({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Ze.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Ze.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Ze.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Ze.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Ut.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}fu.create=e=>new fu({checks:[],typeName:nt.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...mt(e)});class hu extends bt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==ke.bigint){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.bigint,received:o.parsedType}),ct}let r;const i=new Fi;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Ut.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new hu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new hu({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}hu.create=e=>{var t;return new hu({checks:[],typeName:nt.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...mt(e)})};class ag extends bt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==ke.boolean){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.boolean,received:r.parsedType}),ct}return Xi(t.data)}}ag.create=e=>new ag({typeName:nt.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...mt(e)});class Cc extends bt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==ke.date){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.date,received:o.parsedType}),ct}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_date}),ct}const r=new Fi;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Ut.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new Cc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Ze.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Ze.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}Cc.create=e=>new Cc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:nt.ZodDate,...mt(e)});class Dv extends bt{_parse(t){if(this._getType(t)!==ke.symbol){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.symbol,received:r.parsedType}),ct}return Xi(t.data)}}Dv.create=e=>new Dv({typeName:nt.ZodSymbol,...mt(e)});class lg extends bt{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.undefined,received:r.parsedType}),ct}return Xi(t.data)}}lg.create=e=>new lg({typeName:nt.ZodUndefined,...mt(e)});class ug extends bt{_parse(t){if(this._getType(t)!==ke.null){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.null,received:r.parsedType}),ct}return Xi(t.data)}}ug.create=e=>new ug({typeName:nt.ZodNull,...mt(e)});class Of extends bt{constructor(){super(...arguments),this._any=!0}_parse(t){return Xi(t.data)}}Of.create=e=>new Of({typeName:nt.ZodAny,...mt(e)});class pc extends bt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Xi(t.data)}}pc.create=e=>new pc({typeName:nt.ZodUnknown,...mt(e)});class ol extends bt{_parse(t){const n=this._getOrReturnCtx(t);return Pe(n,{code:ce.invalid_type,expected:ke.never,received:n.parsedType}),ct}}ol.create=e=>new ol({typeName:nt.ZodNever,...mt(e)});class Lv extends bt{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.void,received:r.parsedType}),ct}return Xi(t.data)}}Lv.create=e=>new Lv({typeName:nt.ZodVoid,...mt(e)});class Rs extends bt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==ke.array)return Pe(n,{code:ce.invalid_type,expected:ke.array,received:n.parsedType}),ct;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Pe(n,{code:s?ce.too_big:ce.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Pe(n,{code:ce.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Pe(n,{code:ce.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new pa(n,s,n.path,a)))).then(s=>Fi.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new pa(n,s,n.path,a)));return Fi.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Rs({...this._def,minLength:{value:t,message:Ze.toString(n)}})}max(t,n){return new Rs({...this._def,maxLength:{value:t,message:Ze.toString(n)}})}length(t,n){return new Rs({...this._def,exactLength:{value:t,message:Ze.toString(n)}})}nonempty(t){return this.min(1,t)}}Rs.create=(e,t)=>new Rs({type:e,minLength:null,maxLength:null,exactLength:null,typeName:nt.ZodArray,...mt(t)});function Cd(e){if(e instanceof Zn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ka.create(Cd(r))}return new Zn({...e._def,shape:()=>t})}else return e instanceof Rs?new Rs({...e._def,type:Cd(e.element)}):e instanceof Ka?Ka.create(Cd(e.unwrap())):e instanceof Tc?Tc.create(Cd(e.unwrap())):e instanceof ga?ga.create(e.items.map(t=>Cd(t))):e}class Zn extends bt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Ut.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==ke.object){const u=this._getOrReturnCtx(t);return Pe(u,{code:ce.invalid_type,expected:ke.object,received:u.parsedType}),ct}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof ol&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new pa(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof ol){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(Pe(i,{code:ce.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new pa(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>Fi.mergeObjectSync(r,u)):Fi.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Ze.errToObj,new Zn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Ze.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Zn({...this._def,unknownKeys:"strip"})}passthrough(){return new Zn({...this._def,unknownKeys:"passthrough"})}extend(t){return new Zn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Zn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:nt.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Zn({...this._def,catchall:t})}pick(t){const n={};return Ut.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Zn({...this._def,shape:()=>n})}omit(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Zn({...this._def,shape:()=>n})}deepPartial(){return Cd(this)}partial(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Zn({...this._def,shape:()=>n})}required(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ka;)o=o._def.innerType;n[r]=o}}),new Zn({...this._def,shape:()=>n})}keyof(){return Z7(Ut.objectKeys(this.shape))}}Zn.create=(e,t)=>new Zn({shape:()=>e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...mt(t)});Zn.strictCreate=(e,t)=>new Zn({shape:()=>e,unknownKeys:"strict",catchall:ol.create(),typeName:nt.ZodObject,...mt(t)});Zn.lazycreate=(e,t)=>new Zn({shape:e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...mt(t)});class cg extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Ps(a.ctx.common.issues));return Pe(n,{code:ce.invalid_union,unionErrors:s}),ct}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Ps(l));return Pe(n,{code:ce.invalid_union,unionErrors:a}),ct}}get options(){return this._def.options}}cg.create=(e,t)=>new cg({options:e,typeName:nt.ZodUnion,...mt(t)});const k0=e=>e instanceof hg?k0(e.schema):e instanceof Ns?k0(e.innerType()):e instanceof pg?[e.value]:e instanceof pu?e.options:e instanceof gg?Object.keys(e.enum):e instanceof mg?k0(e._def.innerType):e instanceof lg?[void 0]:e instanceof ug?[null]:null;class P_ extends bt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.object)return Pe(n,{code:ce.invalid_type,expected:ke.object,received:n.parsedType}),ct;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Pe(n,{code:ce.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ct)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=k0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new P_({typeName:nt.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...mt(r)})}}function dC(e,t){const n=Dl(e),r=Dl(t);if(e===t)return{valid:!0,data:e};if(n===ke.object&&r===ke.object){const i=Ut.objectKeys(t),o=Ut.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=dC(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===ke.array&&r===ke.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=dC(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===ke.date&&r===ke.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class dg extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(uC(o)||uC(s))return ct;const a=dC(o.value,s.value);return a.valid?((cC(o)||cC(s))&&n.dirty(),{status:n.value,value:a.data}):(Pe(r,{code:ce.invalid_intersection_types}),ct)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}dg.create=(e,t,n)=>new dg({left:e,right:t,typeName:nt.ZodIntersection,...mt(n)});class ga extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.array)return Pe(r,{code:ce.invalid_type,expected:ke.array,received:r.parsedType}),ct;if(r.data.length<this._def.items.length)return Pe(r,{code:ce.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),ct;!this._def.rest&&r.data.length>this._def.items.length&&(Pe(r,{code:ce.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new pa(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Fi.mergeArray(n,s)):Fi.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new ga({...this._def,rest:t})}}ga.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new ga({items:e,typeName:nt.ZodTuple,rest:null,...mt(t)})};class fg extends bt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.object)return Pe(r,{code:ce.invalid_type,expected:ke.object,received:r.parsedType}),ct;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new pa(r,a,r.path,a)),value:s._parse(new pa(r,r.data[a],r.path,a))});return r.common.async?Fi.mergeObjectAsync(n,i):Fi.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof bt?new fg({keyType:t,valueType:n,typeName:nt.ZodRecord,...mt(r)}):new fg({keyType:Es.create(),valueType:t,typeName:nt.ZodRecord,...mt(n)})}}class $v extends bt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.map)return Pe(r,{code:ce.invalid_type,expected:ke.map,received:r.parsedType}),ct;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new pa(r,a,r.path,[u,"key"])),value:o._parse(new pa(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}$v.create=(e,t,n)=>new $v({valueType:t,keyType:e,typeName:nt.ZodMap,...mt(n)});class Ec extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.set)return Pe(r,{code:ce.invalid_type,expected:ke.set,received:r.parsedType}),ct;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Pe(r,{code:ce.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Pe(r,{code:ce.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return ct;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new pa(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new Ec({...this._def,minSize:{value:t,message:Ze.toString(n)}})}max(t,n){return new Ec({...this._def,maxSize:{value:t,message:Ze.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Ec.create=(e,t)=>new Ec({valueType:e,minSize:null,maxSize:null,typeName:nt.ZodSet,...mt(t)});class af extends bt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.function)return Pe(n,{code:ce.invalid_type,expected:ke.function,received:n.parsedType}),ct;function r(a,l){return Mv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Iv(),og].filter(u=>!!u),issueData:{code:ce.invalid_arguments,argumentsError:l}})}function i(a,l){return Mv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Iv(),og].filter(u=>!!u),issueData:{code:ce.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof If){const a=this;return Xi(async function(...l){const u=new Ps([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return Xi(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new Ps([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new Ps([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new af({...this._def,args:ga.create(t).rest(pc.create())})}returns(t){return new af({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new af({args:t||ga.create([]).rest(pc.create()),returns:n||pc.create(),typeName:nt.ZodFunction,...mt(r)})}}class hg extends bt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}hg.create=(e,t)=>new hg({getter:e,typeName:nt.ZodLazy,...mt(t)});class pg extends bt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Pe(n,{received:n.data,code:ce.invalid_literal,expected:this._def.value}),ct}return{status:"valid",value:t.data}}get value(){return this._def.value}}pg.create=(e,t)=>new pg({value:e,typeName:nt.ZodLiteral,...mt(t)});function Z7(e,t){return new pu({values:e,typeName:nt.ZodEnum,...mt(t)})}class pu extends bt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{expected:Ut.joinValues(r),received:n.parsedType,code:ce.invalid_type}),ct}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{received:n.data,code:ce.invalid_enum_value,options:r}),ct}return Xi(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return pu.create(t)}exclude(t){return pu.create(this.options.filter(n=>!t.includes(n)))}}pu.create=Z7;class gg extends bt{_parse(t){const n=Ut.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==ke.string&&r.parsedType!==ke.number){const i=Ut.objectValues(n);return Pe(r,{expected:Ut.joinValues(i),received:r.parsedType,code:ce.invalid_type}),ct}if(n.indexOf(t.data)===-1){const i=Ut.objectValues(n);return Pe(r,{received:r.data,code:ce.invalid_enum_value,options:i}),ct}return Xi(t.data)}get enum(){return this._def.values}}gg.create=(e,t)=>new gg({values:e,typeName:nt.ZodNativeEnum,...mt(t)});class If extends bt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.promise&&n.common.async===!1)return Pe(n,{code:ce.invalid_type,expected:ke.promise,received:n.parsedType}),ct;const r=n.parsedType===ke.promise?n.data:Promise.resolve(n.data);return Xi(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}If.create=(e,t)=>new If({type:e,typeName:nt.ZodPromise,...mt(t)});class Ns extends bt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===nt.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{Pe(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ct:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ct:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!sg(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>sg(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Ut.assertNever(i)}}Ns.create=(e,t,n)=>new Ns({schema:e,typeName:nt.ZodEffects,effect:t,...mt(n)});Ns.createWithPreprocess=(e,t,n)=>new Ns({schema:t,effect:{type:"preprocess",transform:e},typeName:nt.ZodEffects,...mt(n)});class Ka extends bt{_parse(t){return this._getType(t)===ke.undefined?Xi(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ka.create=(e,t)=>new Ka({innerType:e,typeName:nt.ZodOptional,...mt(t)});class Tc extends bt{_parse(t){return this._getType(t)===ke.null?Xi(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Tc.create=(e,t)=>new Tc({innerType:e,typeName:nt.ZodNullable,...mt(t)});class mg extends bt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===ke.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}mg.create=(e,t)=>new mg({innerType:e,typeName:nt.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...mt(t)});class Fv extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return Nv(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Ps(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Ps(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}Fv.create=(e,t)=>new Fv({innerType:e,typeName:nt.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...mt(t)});class Bv extends bt{_parse(t){if(this._getType(t)!==ke.nan){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.nan,received:r.parsedType}),ct}return{status:"valid",value:t.data}}}Bv.create=e=>new Bv({typeName:nt.ZodNaN,...mt(e)});const hte=Symbol("zod_brand");class J7 extends bt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class Sm extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?ct:o.status==="dirty"?(n.dirty(),Y7(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?ct:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new Sm({in:t,out:n,typeName:nt.ZodPipeline})}}class zv extends bt{_parse(t){const n=this._def.innerType._parse(t);return sg(n)&&(n.value=Object.freeze(n.value)),n}}zv.create=(e,t)=>new zv({innerType:e,typeName:nt.ZodReadonly,...mt(t)});const eD=(e,t={},n)=>e?Of.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):Of.create(),pte={object:Zn.lazycreate};var nt;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(nt||(nt={}));const gte=(e,t={message:`Input not instance of ${e.name}`})=>eD(n=>n instanceof e,t),tD=Es.create,nD=fu.create,mte=Bv.create,yte=hu.create,rD=ag.create,vte=Cc.create,_te=Dv.create,bte=lg.create,Ste=ug.create,wte=Of.create,xte=pc.create,Cte=ol.create,Ete=Lv.create,Tte=Rs.create,Ate=Zn.create,kte=Zn.strictCreate,Pte=cg.create,Rte=P_.create,Ote=dg.create,Ite=ga.create,Mte=fg.create,Nte=$v.create,Dte=Ec.create,Lte=af.create,$te=hg.create,Fte=pg.create,Bte=pu.create,zte=gg.create,Ute=If.create,jk=Ns.create,jte=Ka.create,Vte=Tc.create,Gte=Ns.createWithPreprocess,Hte=Sm.create,qte=()=>tD().optional(),Wte=()=>nD().optional(),Kte=()=>rD().optional(),Xte={string:e=>Es.create({...e,coerce:!0}),number:e=>fu.create({...e,coerce:!0}),boolean:e=>ag.create({...e,coerce:!0}),bigint:e=>hu.create({...e,coerce:!0}),date:e=>Cc.create({...e,coerce:!0})},Qte=ct;var z=Object.freeze({__proto__:null,defaultErrorMap:og,setErrorMap:ete,getErrorMap:Iv,makeIssue:Mv,EMPTY_PATH:tte,addIssueToContext:Pe,ParseStatus:Fi,INVALID:ct,DIRTY:Y7,OK:Xi,isAborted:uC,isDirty:cC,isValid:sg,isAsync:Nv,get util(){return Ut},get objectUtil(){return lC},ZodParsedType:ke,getParsedType:Dl,ZodType:bt,ZodString:Es,ZodNumber:fu,ZodBigInt:hu,ZodBoolean:ag,ZodDate:Cc,ZodSymbol:Dv,ZodUndefined:lg,ZodNull:ug,ZodAny:Of,ZodUnknown:pc,ZodNever:ol,ZodVoid:Lv,ZodArray:Rs,ZodObject:Zn,ZodUnion:cg,ZodDiscriminatedUnion:P_,ZodIntersection:dg,ZodTuple:ga,ZodRecord:fg,ZodMap:$v,ZodSet:Ec,ZodFunction:af,ZodLazy:hg,ZodLiteral:pg,ZodEnum:pu,ZodNativeEnum:gg,ZodPromise:If,ZodEffects:Ns,ZodTransformer:Ns,ZodOptional:Ka,ZodNullable:Tc,ZodDefault:mg,ZodCatch:Fv,ZodNaN:Bv,BRAND:hte,ZodBranded:J7,ZodPipeline:Sm,ZodReadonly:zv,custom:eD,Schema:bt,ZodSchema:bt,late:pte,get ZodFirstPartyTypeKind(){return nt},coerce:Xte,any:wte,array:Tte,bigint:yte,boolean:rD,date:vte,discriminatedUnion:Rte,effect:jk,enum:Bte,function:Lte,instanceof:gte,intersection:Ote,lazy:$te,literal:Fte,map:Nte,nan:mte,nativeEnum:zte,never:Cte,null:Ste,nullable:Vte,number:nD,object:Ate,oboolean:Kte,onumber:Wte,optional:jte,ostring:qte,pipeline:Hte,preprocess:Gte,promise:Ute,record:Mte,set:Dte,strictObject:kte,string:tD,symbol:_te,transformer:jk,tuple:Ite,undefined:bte,union:Pte,unknown:xte,void:Ete,NEVER:Qte,ZodIssueCode:ce,quotelessJson:Jee,ZodError:Ps});const Yte=z.string(),i6e=e=>Yte.safeParse(e).success,Zte=z.string(),o6e=e=>Zte.safeParse(e).success,Jte=z.string(),s6e=e=>Jte.safeParse(e).success,ene=z.string(),a6e=e=>ene.safeParse(e).success,tne=z.number().int().min(1),l6e=e=>tne.safeParse(e).success,nne=z.number().min(1),u6e=e=>nne.safeParse(e).success,iD=z.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),c6e=e=>iD.safeParse(e).success,d6e={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},rne=z.number().int().min(0).max(Zee),f6e=e=>rne.safeParse(e).success,ine=z.number().multipleOf(8).min(64),h6e=e=>ine.safeParse(e).success,one=z.number().multipleOf(8).min(64),p6e=e=>one.safeParse(e).success,jc=z.enum(["any","sd-1","sd-2","sdxl","sdxl-refiner"]),R_=z.object({model_name:z.string().min(1),base_model:jc,model_type:z.literal("main")}),g6e=e=>R_.safeParse(e).success,gE=z.object({model_name:z.string().min(1),base_model:z.literal("sdxl-refiner"),model_type:z.literal("main")}),m6e=e=>gE.safeParse(e).success,oD=z.object({model_name:z.string().min(1),base_model:jc,model_type:z.literal("onnx")}),wm=z.union([R_,oD]),sne=z.object({model_name:z.string().min(1),base_model:jc}),y6e=z.object({model_name:z.string().min(1),base_model:jc}),v6e=z.object({model_name:z.string().min(1),base_model:jc}),_6e=z.object({model_name:z.string().min(1),base_model:jc}),ane=z.number().min(0).max(1),b6e=e=>ane.safeParse(e).success;z.enum(["fp16","fp32"]);const lne=z.number().min(1).max(10),S6e=e=>lne.safeParse(e).success,une=z.number().min(1).max(10),w6e=e=>une.safeParse(e).success,cne=z.number().min(0).max(1),x6e=e=>cne.safeParse(e).success;z.enum(["box","gaussian"]);z.enum(["unmasked","mask","edge"]);const Ls={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceMode:"edge",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,infillTileSize:32,infillPatchmatchDownscaleSize:1,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},dne=Ls,sD=er({name:"generation",initialState:dne,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=zl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=zl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...Ls}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 0},setMaskBlur:(e,t)=>{e.maskBlur=t.payload},setMaskBlurMethod:(e,t)=>{e.maskBlurMethod=t.payload},setCanvasCoherenceMode:(e,t)=>{e.canvasCoherenceMode=t.payload},setCanvasCoherenceSteps:(e,t)=>{e.canvasCoherenceSteps=t.payload},setCanvasCoherenceStrength:(e,t)=>{e.canvasCoherenceStrength=t.payload},setInfillMethod:(e,t)=>{e.infillMethod=t.payload},setInfillTileSize:(e,t)=>{e.infillTileSize=t.payload},setInfillPatchmatchDownscaleSize:(e,t)=>{e.infillPatchmatchDownscaleSize=t.payload},setShouldUseSymmetry:(e,t)=>{e.shouldUseSymmetry=t.payload},setHorizontalSymmetrySteps:(e,t)=>{e.horizontalSymmetrySteps=t.payload},setVerticalSymmetrySteps:(e,t)=>{e.verticalSymmetrySteps=t.payload},setShouldUseNoiseSettings:(e,t)=>{e.shouldUseNoiseSettings=t.payload},initialImageChanged:(e,t)=>{const{image_name:n,width:r,height:i}=t.payload;e.initialImage={imageName:n,width:r,height:i}},modelChanged:(e,t)=>{if(e.model=t.payload,e.model===null)return;const{maxClip:n}=Yee[e.model.base_model];e.clipSkip=zl(e.clipSkip,0,n)},vaeSelected:(e,t)=>{e.vae=t.payload},vaePrecisionChanged:(e,t)=>{e.vaePrecision=t.payload},setClipSkip:(e,t)=>{e.clipSkip=t.payload},shouldUseCpuNoiseChanged:(e,t)=>{e.shouldUseCpuNoise=t.payload},setShouldShowAdvancedOptions:(e,t)=>{e.shouldShowAdvancedOptions=t.payload,t.payload||(e.clipSkip=0)},setAspectRatio:(e,t)=>{const 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r=n.payload;r&&(t.boundingBoxDimensions.height=Ys(t.boundingBoxDimensions.width/r,64))})}}),{addEraseRect:m8e,addFillRect:y8e,addImageToStagingArea:Nne,addLine:v8e,addPointToCurrentLine:_8e,clearCanvasHistory:b8e,clearMask:S8e,commitColorPickerColor:w8e,commitStagingAreaImage:Dne,discardStagedImages:x8e,fitBoundingBoxToStage:C8e,mouseLeftCanvas:E8e,nextStagingAreaImage:T8e,prevStagingAreaImage:A8e,redo:k8e,resetCanvas:yE,resetCanvasInteractionState:P8e,resetCanvasView:R8e,setBoundingBoxCoordinates:O8e,setBoundingBoxDimensions:Hk,setBoundingBoxPreviewFill:I8e,setBoundingBoxScaleMethod:M8e,flipBoundingBoxAxes:N8e,setBrushColor:D8e,setBrushSize:L8e,setColorPickerColor:$8e,setCursorPosition:F8e,setInitialCanvasImage:fD,setIsDrawing:B8e,setIsMaskEnabled:z8e,setIsMouseOverBoundingBox:U8e,setIsMoveBoundingBoxKeyHeld:j8e,setIsMoveStageKeyHeld:V8e,setIsMovingBoundingBox:G8e,setIsMovingStage:H8e,setIsTransformingBoundingBox:q8e,setLayer:W8e,setMaskColor:K8e,setMergedCanvas:Lne,setShouldAutoSave:X8e,setShouldCropToBoundingBoxOnSave:Q8e,setShouldDarkenOutsideBoundingBox:Y8e,setShouldLockBoundingBox:Z8e,setShouldPreserveMaskedArea:J8e,setShouldShowBoundingBox:eRe,setShouldShowBrush:tRe,setShouldShowBrushPreview:nRe,setShouldShowCanvasDebugInfo:rRe,setShouldShowCheckboardTransparency:iRe,setShouldShowGrid:oRe,setShouldShowIntermediates:sRe,setShouldShowStagingImage:aRe,setShouldShowStagingOutline:lRe,setShouldSnapToGrid:uRe,setStageCoordinates:cRe,setStageScale:dRe,setTool:fRe,toggleShouldLockBoundingBox:hRe,toggleTool:pRe,undo:gRe,setScaledBoundingBoxDimensions:mRe,setShouldRestrictStrokesToBox:yRe,stagingAreaInitialized:$ne,canvasSessionIdChanged:Fne,setShouldAntialias:vRe,canvasResized:_Re}=dD.actions,Bne=dD.reducer,zne={isModalOpen:!1,imagesToChange:[]},hD=er({name:"changeBoardModal",initialState:zne,reducers:{isModalOpenChanged:(e,t)=>{e.isModalOpen=t.payload},imagesToChangeSelected:(e,t)=>{e.imagesToChange=t.payload},changeBoardReset:e=>{e.imagesToChange=[],e.isModalOpen=!1}}}),{isModalOpenChanged:bRe,imagesToChangeSelected:SRe,changeBoardReset:wRe}=hD.actions,Une=hD.reducer,Kr=["general"],jl=["control","mask","user","other"],jne=100,xy=20;/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const Vne=4,qk=0,Wk=1,Gne=2;function oh(e){let t=e.length;for(;--t>=0;)e[t]=0}const Hne=0,pD=1,qne=2,Wne=3,Kne=258,vE=29,xm=256,_g=xm+1+vE,lf=30,_E=19,gD=2*_g+1,rc=15,I2=16,Xne=7,bE=256,mD=16,yD=17,vD=18,fC=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),P0=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),Qne=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),_D=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),Yne=512,Ba=new Array((_g+2)*2);oh(Ba);const bp=new Array(lf*2);oh(bp);const bg=new Array(Yne);oh(bg);const Sg=new Array(Kne-Wne+1);oh(Sg);const SE=new Array(vE);oh(SE);const Uv=new Array(lf);oh(Uv);function M2(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let bD,SD,wD;function N2(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}const xD=e=>e<256?bg[e]:bg[256+(e>>>7)],wg=(e,t)=>{e.pending_buf[e.pending++]=t&255,e.pending_buf[e.pending++]=t>>>8&255},lo=(e,t,n)=>{e.bi_valid>I2-n?(e.bi_buf|=t<<e.bi_valid&65535,wg(e,e.bi_buf),e.bi_buf=t>>I2-e.bi_valid,e.bi_valid+=n-I2):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=n)},Zs=(e,t,n)=>{lo(e,n[t*2],n[t*2+1])},CD=(e,t)=>{let n=0;do n|=e&1,e>>>=1,n<<=1;while(--t>0);return n>>>1},Zne=e=>{e.bi_valid===16?(wg(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):e.bi_valid>=8&&(e.pending_buf[e.pending++]=e.bi_buf&255,e.bi_buf>>=8,e.bi_valid-=8)},Jne=(e,t)=>{const n=t.dyn_tree,r=t.max_code,i=t.stat_desc.static_tree,o=t.stat_desc.has_stree,s=t.stat_desc.extra_bits,a=t.stat_desc.extra_base,l=t.stat_desc.max_length;let u,c,d,f,h,p,m=0;for(f=0;f<=rc;f++)e.bl_count[f]=0;for(n[e.heap[e.heap_max]*2+1]=0,u=e.heap_max+1;u<gD;u++)c=e.heap[u],f=n[n[c*2+1]*2+1]+1,f>l&&(f=l,m++),n[c*2+1]=f,!(c>r)&&(e.bl_count[f]++,h=0,c>=a&&(h=s[c-a]),p=n[c*2],e.opt_len+=p*(f+h),o&&(e.static_len+=p*(i[c*2+1]+h)));if(m!==0){do{for(f=l-1;e.bl_count[f]===0;)f--;e.bl_count[f]--,e.bl_count[f+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(f=l;f!==0;f--)for(c=e.bl_count[f];c!==0;)d=e.heap[--u],!(d>r)&&(n[d*2+1]!==f&&(e.opt_len+=(f-n[d*2+1])*n[d*2],n[d*2+1]=f),c--)}},ED=(e,t,n)=>{const r=new Array(rc+1);let i=0,o,s;for(o=1;o<=rc;o++)i=i+n[o-1]<<1,r[o]=i;for(s=0;s<=t;s++){let a=e[s*2+1];a!==0&&(e[s*2]=CD(r[a]++,a))}},ere=()=>{let e,t,n,r,i;const o=new Array(rc+1);for(n=0,r=0;r<vE-1;r++)for(SE[r]=n,e=0;e<1<<fC[r];e++)Sg[n++]=r;for(Sg[n-1]=r,i=0,r=0;r<16;r++)for(Uv[r]=i,e=0;e<1<<P0[r];e++)bg[i++]=r;for(i>>=7;r<lf;r++)for(Uv[r]=i<<7,e=0;e<1<<P0[r]-7;e++)bg[256+i++]=r;for(t=0;t<=rc;t++)o[t]=0;for(e=0;e<=143;)Ba[e*2+1]=8,e++,o[8]++;for(;e<=255;)Ba[e*2+1]=9,e++,o[9]++;for(;e<=279;)Ba[e*2+1]=7,e++,o[7]++;for(;e<=287;)Ba[e*2+1]=8,e++,o[8]++;for(ED(Ba,_g+1,o),e=0;e<lf;e++)bp[e*2+1]=5,bp[e*2]=CD(e,5);bD=new M2(Ba,fC,xm+1,_g,rc),SD=new M2(bp,P0,0,lf,rc),wD=new M2(new Array(0),Qne,0,_E,Xne)},TD=e=>{let t;for(t=0;t<_g;t++)e.dyn_ltree[t*2]=0;for(t=0;t<lf;t++)e.dyn_dtree[t*2]=0;for(t=0;t<_E;t++)e.bl_tree[t*2]=0;e.dyn_ltree[bE*2]=1,e.opt_len=e.static_len=0,e.sym_next=e.matches=0},AD=e=>{e.bi_valid>8?wg(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},Kk=(e,t,n,r)=>{const i=t*2,o=n*2;return e[i]<e[o]||e[i]===e[o]&&r[t]<=r[n]},D2=(e,t,n)=>{const r=e.heap[n];let i=n<<1;for(;i<=e.heap_len&&(i<e.heap_len&&Kk(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!Kk(t,r,e.heap[i],e.depth));)e.heap[n]=e.heap[i],n=i,i<<=1;e.heap[n]=r},Xk=(e,t,n)=>{let r,i,o=0,s,a;if(e.sym_next!==0)do r=e.pending_buf[e.sym_buf+o++]&255,r+=(e.pending_buf[e.sym_buf+o++]&255)<<8,i=e.pending_buf[e.sym_buf+o++],r===0?Zs(e,i,t):(s=Sg[i],Zs(e,s+xm+1,t),a=fC[s],a!==0&&(i-=SE[s],lo(e,i,a)),r--,s=xD(r),Zs(e,s,n),a=P0[s],a!==0&&(r-=Uv[s],lo(e,r,a)));while(o<e.sym_next);Zs(e,bE,t)},hC=(e,t)=>{const n=t.dyn_tree,r=t.stat_desc.static_tree,i=t.stat_desc.has_stree,o=t.stat_desc.elems;let s,a,l=-1,u;for(e.heap_len=0,e.heap_max=gD,s=0;s<o;s++)n[s*2]!==0?(e.heap[++e.heap_len]=l=s,e.depth[s]=0):n[s*2+1]=0;for(;e.heap_len<2;)u=e.heap[++e.heap_len]=l<2?++l:0,n[u*2]=1,e.depth[u]=0,e.opt_len--,i&&(e.static_len-=r[u*2+1]);for(t.max_code=l,s=e.heap_len>>1;s>=1;s--)D2(e,n,s);u=o;do s=e.heap[1],e.heap[1]=e.heap[e.heap_len--],D2(e,n,1),a=e.heap[1],e.heap[--e.heap_max]=s,e.heap[--e.heap_max]=a,n[u*2]=n[s*2]+n[a*2],e.depth[u]=(e.depth[s]>=e.depth[a]?e.depth[s]:e.depth[a])+1,n[s*2+1]=n[a*2+1]=u,e.heap[1]=u++,D2(e,n,1);while(e.heap_len>=2);e.heap[--e.heap_max]=e.heap[1],Jne(e,t),ED(n,l,e.bl_count)},Qk=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),t[(n+1)*2+1]=65535,r=0;r<=n;r++)o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)&&(a<u?e.bl_tree[o*2]+=a:o!==0?(o!==i&&e.bl_tree[o*2]++,e.bl_tree[mD*2]++):a<=10?e.bl_tree[yD*2]++:e.bl_tree[vD*2]++,a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4))},Yk=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),r=0;r<=n;r++)if(o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)){if(a<u)do Zs(e,o,e.bl_tree);while(--a!==0);else o!==0?(o!==i&&(Zs(e,o,e.bl_tree),a--),Zs(e,mD,e.bl_tree),lo(e,a-3,2)):a<=10?(Zs(e,yD,e.bl_tree),lo(e,a-3,3)):(Zs(e,vD,e.bl_tree),lo(e,a-11,7));a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4)}},tre=e=>{let t;for(Qk(e,e.dyn_ltree,e.l_desc.max_code),Qk(e,e.dyn_dtree,e.d_desc.max_code),hC(e,e.bl_desc),t=_E-1;t>=3&&e.bl_tree[_D[t]*2+1]===0;t--);return e.opt_len+=3*(t+1)+5+5+4,t},nre=(e,t,n,r)=>{let i;for(lo(e,t-257,5),lo(e,n-1,5),lo(e,r-4,4),i=0;i<r;i++)lo(e,e.bl_tree[_D[i]*2+1],3);Yk(e,e.dyn_ltree,t-1),Yk(e,e.dyn_dtree,n-1)},rre=e=>{let t=4093624447,n;for(n=0;n<=31;n++,t>>>=1)if(t&1&&e.dyn_ltree[n*2]!==0)return qk;if(e.dyn_ltree[9*2]!==0||e.dyn_ltree[10*2]!==0||e.dyn_ltree[13*2]!==0)return Wk;for(n=32;n<xm;n++)if(e.dyn_ltree[n*2]!==0)return Wk;return qk};let Zk=!1;const ire=e=>{Zk||(ere(),Zk=!0),e.l_desc=new N2(e.dyn_ltree,bD),e.d_desc=new N2(e.dyn_dtree,SD),e.bl_desc=new N2(e.bl_tree,wD),e.bi_buf=0,e.bi_valid=0,TD(e)},kD=(e,t,n,r)=>{lo(e,(Hne<<1)+(r?1:0),3),AD(e),wg(e,n),wg(e,~n),n&&e.pending_buf.set(e.window.subarray(t,t+n),e.pending),e.pending+=n},ore=e=>{lo(e,pD<<1,3),Zs(e,bE,Ba),Zne(e)},sre=(e,t,n,r)=>{let i,o,s=0;e.level>0?(e.strm.data_type===Gne&&(e.strm.data_type=rre(e)),hC(e,e.l_desc),hC(e,e.d_desc),s=tre(e),i=e.opt_len+3+7>>>3,o=e.static_len+3+7>>>3,o<=i&&(i=o)):i=o=n+5,n+4<=i&&t!==-1?kD(e,t,n,r):e.strategy===Vne||o===i?(lo(e,(pD<<1)+(r?1:0),3),Xk(e,Ba,bp)):(lo(e,(qne<<1)+(r?1:0),3),nre(e,e.l_desc.max_code+1,e.d_desc.max_code+1,s+1),Xk(e,e.dyn_ltree,e.dyn_dtree)),TD(e),r&&AD(e)},are=(e,t,n)=>(e.pending_buf[e.sym_buf+e.sym_next++]=t,e.pending_buf[e.sym_buf+e.sym_next++]=t>>8,e.pending_buf[e.sym_buf+e.sym_next++]=n,t===0?e.dyn_ltree[n*2]++:(e.matches++,t--,e.dyn_ltree[(Sg[n]+xm+1)*2]++,e.dyn_dtree[xD(t)*2]++),e.sym_next===e.sym_end);var lre=ire,ure=kD,cre=sre,dre=are,fre=ore,hre={_tr_init:lre,_tr_stored_block:ure,_tr_flush_block:cre,_tr_tally:dre,_tr_align:fre};const pre=(e,t,n,r)=>{let i=e&65535|0,o=e>>>16&65535|0,s=0;for(;n!==0;){s=n>2e3?2e3:n,n-=s;do i=i+t[r++]|0,o=o+i|0;while(--s);i%=65521,o%=65521}return i|o<<16|0};var xg=pre;const gre=()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},mre=new Uint32Array(gre()),yre=(e,t,n,r)=>{const i=mre,o=r+n;e^=-1;for(let s=r;s<o;s++)e=e>>>8^i[(e^t[s])&255];return e^-1};var Qr=yre,Nf={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"},Cm={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:vre,_tr_stored_block:pC,_tr_flush_block:_re,_tr_tally:eu,_tr_align:bre}=hre,{Z_NO_FLUSH:tu,Z_PARTIAL_FLUSH:Sre,Z_FULL_FLUSH:wre,Z_FINISH:Xo,Z_BLOCK:Jk,Z_OK:gi,Z_STREAM_END:eP,Z_STREAM_ERROR:la,Z_DATA_ERROR:xre,Z_BUF_ERROR:L2,Z_DEFAULT_COMPRESSION:Cre,Z_FILTERED:Ere,Z_HUFFMAN_ONLY:Cy,Z_RLE:Tre,Z_FIXED:Are,Z_DEFAULT_STRATEGY:kre,Z_UNKNOWN:Pre,Z_DEFLATED:M_}=Cm,Rre=9,Ore=15,Ire=8,Mre=29,Nre=256,gC=Nre+1+Mre,Dre=30,Lre=19,$re=2*gC+1,Fre=15,Mt=3,Vl=258,ua=Vl+Mt+1,Bre=32,Df=42,wE=57,mC=69,yC=73,vC=91,_C=103,ic=113,ep=666,Hi=1,sh=2,Ac=3,ah=4,zre=3,oc=(e,t)=>(e.msg=Nf[t],t),tP=e=>e*2-(e>4?9:0),Ll=e=>{let t=e.length;for(;--t>=0;)e[t]=0},Ure=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let jre=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask,nu=jre;const wo=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},ko=(e,t)=>{_re(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,wo(e.strm)},Xt=(e,t)=>{e.pending_buf[e.pending++]=t},Rh=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},bC=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=xg(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Qr(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},PD=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-ua?e.strstart-(e.w_size-ua):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+Vl;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&r<f);if(o=Vl-(f-r),r=f-Vl,o>s){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},Lf=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-ua)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),Ure(e),r+=t),e.strm.avail_in===0)break;if(n=bC(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=Mt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=nu(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=nu(e,e.ins_h,e.window[i+Mt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<Mt)););}while(e.lookahead<ua&&e.strm.avail_in!==0)},RD=(e,t)=>{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_out<o||(o=e.strm.avail_out-o,i=e.strstart-e.block_start,r>i+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r<n&&(r===0&&t!==Xo||t===tu||r!==i+e.strm.avail_in)))break;s=t===Xo&&r===i+e.strm.avail_in?1:0,pC(e,0,0,s),e.pending_buf[e.pending-4]=r,e.pending_buf[e.pending-3]=r>>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,wo(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(bC(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),s?ah:t!==tu&&t!==Xo&&e.strm.avail_in===0&&e.strstart===e.block_start?sh:(o=e.window_size-e.strstart,e.strm.avail_in>o&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(bC(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water<e.strstart&&(e.high_water=e.strstart),o=e.bi_valid+42>>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Xo)&&t!==tu&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Xo&&e.strm.avail_in===0&&r===i?1:0,pC(e,e.block_start,r,s),e.block_start+=r,wo(e.strm)),s?Ac:Hi)},$2=(e,t)=>{let n,r;for(;;){if(e.lookahead<ua){if(Lf(e),e.lookahead<ua&&t===tu)return Hi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Mt&&(e.ins_h=nu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-ua&&(e.match_length=PD(e,n)),e.match_length>=Mt)if(r=eu(e,e.strstart-e.match_start,e.match_length-Mt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=Mt){e.match_length--;do e.strstart++,e.ins_h=nu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=nu(e,e.ins_h,e.window[e.strstart+1]);else r=eu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(ko(e,!1),e.strm.avail_out===0))return Hi}return e.insert=e.strstart<Mt-1?e.strstart:Mt-1,t===Xo?(ko(e,!0),e.strm.avail_out===0?Ac:ah):e.sym_next&&(ko(e,!1),e.strm.avail_out===0)?Hi:sh},ud=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<ua){if(Lf(e),e.lookahead<ua&&t===tu)return Hi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Mt&&(e.ins_h=nu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=Mt-1,n!==0&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-ua&&(e.match_length=PD(e,n),e.match_length<=5&&(e.strategy===Ere||e.match_length===Mt&&e.strstart-e.match_start>4096)&&(e.match_length=Mt-1)),e.prev_length>=Mt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-Mt,r=eu(e,e.strstart-1-e.prev_match,e.prev_length-Mt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=nu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=Mt-1,e.strstart++,r&&(ko(e,!1),e.strm.avail_out===0))return Hi}else if(e.match_available){if(r=eu(e,0,e.window[e.strstart-1]),r&&ko(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return Hi}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=eu(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<Mt-1?e.strstart:Mt-1,t===Xo?(ko(e,!0),e.strm.avail_out===0?Ac:ah):e.sym_next&&(ko(e,!1),e.strm.avail_out===0)?Hi:sh},Vre=(e,t)=>{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=Vl){if(Lf(e),e.lookahead<=Vl&&t===tu)return Hi;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=Mt&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+Vl;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&i<o);e.match_length=Vl-(o-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=Mt?(n=eu(e,1,e.match_length-Mt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=eu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(ko(e,!1),e.strm.avail_out===0))return Hi}return e.insert=0,t===Xo?(ko(e,!0),e.strm.avail_out===0?Ac:ah):e.sym_next&&(ko(e,!1),e.strm.avail_out===0)?Hi:sh},Gre=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(Lf(e),e.lookahead===0)){if(t===tu)return Hi;break}if(e.match_length=0,n=eu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(ko(e,!1),e.strm.avail_out===0))return Hi}return e.insert=0,t===Xo?(ko(e,!0),e.strm.avail_out===0?Ac:ah):e.sym_next&&(ko(e,!1),e.strm.avail_out===0)?Hi:sh};function Us(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const tp=[new Us(0,0,0,0,RD),new Us(4,4,8,4,$2),new Us(4,5,16,8,$2),new Us(4,6,32,32,$2),new Us(4,4,16,16,ud),new Us(8,16,32,32,ud),new Us(8,16,128,128,ud),new Us(8,32,128,256,ud),new Us(32,128,258,1024,ud),new Us(32,258,258,4096,ud)],Hre=e=>{e.window_size=2*e.w_size,Ll(e.head),e.max_lazy_match=tp[e.level].max_lazy,e.good_match=tp[e.level].good_length,e.nice_match=tp[e.level].nice_length,e.max_chain_length=tp[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=Mt-1,e.match_available=0,e.ins_h=0};function qre(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=M_,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array($re*2),this.dyn_dtree=new Uint16Array((2*Dre+1)*2),this.bl_tree=new Uint16Array((2*Lre+1)*2),Ll(this.dyn_ltree),Ll(this.dyn_dtree),Ll(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(Fre+1),this.heap=new Uint16Array(2*gC+1),Ll(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*gC+1),Ll(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const Em=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==Df&&t.status!==wE&&t.status!==mC&&t.status!==yC&&t.status!==vC&&t.status!==_C&&t.status!==ic&&t.status!==ep?1:0},OD=e=>{if(Em(e))return oc(e,la);e.total_in=e.total_out=0,e.data_type=Pre;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?wE:t.wrap?Df:ic,e.adler=t.wrap===2?0:1,t.last_flush=-2,vre(t),gi},ID=e=>{const t=OD(e);return t===gi&&Hre(e.state),t},Wre=(e,t)=>Em(e)||e.state.wrap!==2?la:(e.state.gzhead=t,gi),MD=(e,t,n,r,i,o)=>{if(!e)return la;let s=1;if(t===Cre&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>Rre||n!==M_||r<8||r>15||t<0||t>9||o<0||o>Are||r===8&&s!==1)return oc(e,la);r===8&&(r=9);const a=new qre;return e.state=a,a.strm=e,a.status=Df,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<<a.w_bits,a.w_mask=a.w_size-1,a.hash_bits=i+7,a.hash_size=1<<a.hash_bits,a.hash_mask=a.hash_size-1,a.hash_shift=~~((a.hash_bits+Mt-1)/Mt),a.window=new Uint8Array(a.w_size*2),a.head=new Uint16Array(a.hash_size),a.prev=new Uint16Array(a.w_size),a.lit_bufsize=1<<i+6,a.pending_buf_size=a.lit_bufsize*4,a.pending_buf=new Uint8Array(a.pending_buf_size),a.sym_buf=a.lit_bufsize,a.sym_end=(a.lit_bufsize-1)*3,a.level=t,a.strategy=o,a.method=n,ID(e)},Kre=(e,t)=>MD(e,t,M_,Ore,Ire,kre),Xre=(e,t)=>{if(Em(e)||t>Jk||t<0)return e?oc(e,la):la;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===ep&&t!==Xo)return oc(e,e.avail_out===0?L2:la);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(wo(e),e.avail_out===0)return n.last_flush=-1,gi}else if(e.avail_in===0&&tP(t)<=tP(r)&&t!==Xo)return oc(e,L2);if(n.status===ep&&e.avail_in!==0)return oc(e,L2);if(n.status===Df&&n.wrap===0&&(n.status=ic),n.status===Df){let i=M_+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=Cy||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=Bre),i+=31-i%31,Rh(n,i),n.strstart!==0&&(Rh(n,e.adler>>>16),Rh(n,e.adler&65535)),e.adler=1,n.status=ic,wo(e),n.pending!==0)return n.last_flush=-1,gi}if(n.status===wE){if(e.adler=0,Xt(n,31),Xt(n,139),Xt(n,8),n.gzhead)Xt(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),Xt(n,n.gzhead.time&255),Xt(n,n.gzhead.time>>8&255),Xt(n,n.gzhead.time>>16&255),Xt(n,n.gzhead.time>>24&255),Xt(n,n.level===9?2:n.strategy>=Cy||n.level<2?4:0),Xt(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(Xt(n,n.gzhead.extra.length&255),Xt(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Qr(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=mC;else if(Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,n.level===9?2:n.strategy>=Cy||n.level<2?4:0),Xt(n,zre),n.status=ic,wo(e),n.pending!==0)return n.last_flush=-1,gi}if(n.status===mC){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let a=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+a),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=a,wo(e),n.pending!==0)return n.last_flush=-1,gi;i=0,o-=a}let s=new Uint8Array(n.gzhead.extra);n.pending_buf.set(s.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=yC}if(n.status===yC){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),wo(e),n.pending!==0)return n.last_flush=-1,gi;i=0}n.gzindex<n.gzhead.name.length?o=n.gzhead.name.charCodeAt(n.gzindex++)&255:o=0,Xt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=vC}if(n.status===vC){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),wo(e),n.pending!==0)return n.last_flush=-1,gi;i=0}n.gzindex<n.gzhead.comment.length?o=n.gzhead.comment.charCodeAt(n.gzindex++)&255:o=0,Xt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i))}n.status=_C}if(n.status===_C){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(wo(e),n.pending!==0))return n.last_flush=-1,gi;Xt(n,e.adler&255),Xt(n,e.adler>>8&255),e.adler=0}if(n.status=ic,wo(e),n.pending!==0)return n.last_flush=-1,gi}if(e.avail_in!==0||n.lookahead!==0||t!==tu&&n.status!==ep){let i=n.level===0?RD(n,t):n.strategy===Cy?Gre(n,t):n.strategy===Tre?Vre(n,t):tp[n.level].func(n,t);if((i===Ac||i===ah)&&(n.status=ep),i===Hi||i===Ac)return e.avail_out===0&&(n.last_flush=-1),gi;if(i===sh&&(t===Sre?bre(n):t!==Jk&&(pC(n,0,0,!1),t===wre&&(Ll(n.head),n.lookahead===0&&(n.strstart=0,n.block_start=0,n.insert=0))),wo(e),e.avail_out===0))return n.last_flush=-1,gi}return t!==Xo?gi:n.wrap<=0?eP:(n.wrap===2?(Xt(n,e.adler&255),Xt(n,e.adler>>8&255),Xt(n,e.adler>>16&255),Xt(n,e.adler>>24&255),Xt(n,e.total_in&255),Xt(n,e.total_in>>8&255),Xt(n,e.total_in>>16&255),Xt(n,e.total_in>>24&255)):(Rh(n,e.adler>>>16),Rh(n,e.adler&65535)),wo(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?gi:eP)},Qre=e=>{if(Em(e))return la;const t=e.state.status;return e.state=null,t===ic?oc(e,xre):gi},Yre=(e,t)=>{let n=t.length;if(Em(e))return la;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==Df||r.lookahead)return la;if(i===1&&(e.adler=xg(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(Ll(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,s=e.next_in,a=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,Lf(r);r.lookahead>=Mt;){let l=r.strstart,u=r.lookahead-(Mt-1);do r.ins_h=nu(r,r.ins_h,r.window[l+Mt-1]),r.prev[l&r.w_mask]=r.head[r.ins_h],r.head[r.ins_h]=l,l++;while(--u);r.strstart=l,r.lookahead=Mt-1,Lf(r)}return r.strstart+=r.lookahead,r.block_start=r.strstart,r.insert=r.lookahead,r.lookahead=0,r.match_length=r.prev_length=Mt-1,r.match_available=0,e.next_in=s,e.input=a,e.avail_in=o,r.wrap=i,gi};var Zre=Kre,Jre=MD,eie=ID,tie=OD,nie=Wre,rie=Xre,iie=Qre,oie=Yre,sie="pako deflate (from Nodeca project)",Sp={deflateInit:Zre,deflateInit2:Jre,deflateReset:eie,deflateResetKeep:tie,deflateSetHeader:nie,deflate:rie,deflateEnd:iie,deflateSetDictionary:oie,deflateInfo:sie};const aie=(e,t)=>Object.prototype.hasOwnProperty.call(e,t);var lie=function(e){const t=Array.prototype.slice.call(arguments,1);for(;t.length;){const n=t.shift();if(n){if(typeof n!="object")throw new TypeError(n+"must be non-object");for(const r in n)aie(n,r)&&(e[r]=n[r])}}return e},uie=e=>{let t=0;for(let r=0,i=e.length;r<i;r++)t+=e[r].length;const n=new Uint8Array(t);for(let r=0,i=0,o=e.length;r<o;r++){let s=e[r];n.set(s,i),i+=s.length}return n},N_={assign:lie,flattenChunks:uie};let ND=!0;try{String.fromCharCode.apply(null,new Uint8Array(1))}catch{ND=!1}const Cg=new Uint8Array(256);for(let e=0;e<256;e++)Cg[e]=e>=252?6:e>=248?5:e>=240?4:e>=224?3:e>=192?2:1;Cg[254]=Cg[254]=1;var cie=e=>{if(typeof TextEncoder=="function"&&TextEncoder.prototype.encode)return new TextEncoder().encode(e);let t,n,r,i,o,s=e.length,a=0;for(i=0;i<s;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<s&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),a+=n<128?1:n<2048?2:n<65536?3:4;for(t=new Uint8Array(a),o=0,i=0;o<a;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<s&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),n<128?t[o++]=n:n<2048?(t[o++]=192|n>>>6,t[o++]=128|n&63):n<65536?(t[o++]=224|n>>>12,t[o++]=128|n>>>6&63,t[o++]=128|n&63):(t[o++]=240|n>>>18,t[o++]=128|n>>>12&63,t[o++]=128|n>>>6&63,t[o++]=128|n&63);return t};const die=(e,t)=>{if(t<65534&&e.subarray&&ND)return String.fromCharCode.apply(null,e.length===t?e:e.subarray(0,t));let n="";for(let r=0;r<t;r++)n+=String.fromCharCode(e[r]);return n};var fie=(e,t)=>{const n=t||e.length;if(typeof TextDecoder=="function"&&TextDecoder.prototype.decode)return new TextDecoder().decode(e.subarray(0,t));let r,i;const o=new Array(n*2);for(i=0,r=0;r<n;){let s=e[r++];if(s<128){o[i++]=s;continue}let a=Cg[s];if(a>4){o[i++]=65533,r+=a-1;continue}for(s&=a===2?31:a===3?15:7;a>1&&r<n;)s=s<<6|e[r++]&63,a--;if(a>1){o[i++]=65533;continue}s<65536?o[i++]=s:(s-=65536,o[i++]=55296|s>>10&1023,o[i++]=56320|s&1023)}return die(o,i)},hie=(e,t)=>{t=t||e.length,t>e.length&&(t=e.length);let n=t-1;for(;n>=0&&(e[n]&192)===128;)n--;return n<0||n===0?t:n+Cg[e[n]]>t?n:t},Eg={string2buf:cie,buf2string:fie,utf8border:hie};function pie(){this.input=null,this.next_in=0,this.avail_in=0,this.total_in=0,this.output=null,this.next_out=0,this.avail_out=0,this.total_out=0,this.msg="",this.state=null,this.data_type=2,this.adler=0}var DD=pie;const LD=Object.prototype.toString,{Z_NO_FLUSH:gie,Z_SYNC_FLUSH:mie,Z_FULL_FLUSH:yie,Z_FINISH:vie,Z_OK:jv,Z_STREAM_END:_ie,Z_DEFAULT_COMPRESSION:bie,Z_DEFAULT_STRATEGY:Sie,Z_DEFLATED:wie}=Cm;function xE(e){this.options=N_.assign({level:bie,method:wie,chunkSize:16384,windowBits:15,memLevel:8,strategy:Sie},e||{});let t=this.options;t.raw&&t.windowBits>0?t.windowBits=-t.windowBits:t.gzip&&t.windowBits>0&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new DD,this.strm.avail_out=0;let n=Sp.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==jv)throw new Error(Nf[n]);if(t.header&&Sp.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=Eg.string2buf(t.dictionary):LD.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=Sp.deflateSetDictionary(this.strm,r),n!==jv)throw new Error(Nf[n]);this._dict_set=!0}}xE.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?vie:gie,typeof e=="string"?n.input=Eg.string2buf(e):LD.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===mie||o===yie)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=Sp.deflate(n,o),i===_ie)return n.next_out>0&&this.onData(n.output.subarray(0,n.next_out)),i=Sp.deflateEnd(this.strm),this.onEnd(i),this.ended=!0,i===jv;if(n.avail_out===0){this.onData(n.output);continue}if(o>0&&n.next_out>0){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(n.avail_in===0)break}return!0};xE.prototype.onData=function(e){this.chunks.push(e)};xE.prototype.onEnd=function(e){e===jv&&(this.result=N_.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};const Ey=16209,xie=16191;var Cie=function(t,n){let r,i,o,s,a,l,u,c,d,f,h,p,m,b,_,v,g,y,S,w,x,E,A,T;const k=t.state;r=t.next_in,A=t.input,i=r+(t.avail_in-5),o=t.next_out,T=t.output,s=o-(n-t.avail_out),a=o+(t.avail_out-257),l=k.dmax,u=k.wsize,c=k.whave,d=k.wnext,f=k.window,h=k.hold,p=k.bits,m=k.lencode,b=k.distcode,_=(1<<k.lenbits)-1,v=(1<<k.distbits)-1;e:do{p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=m[h&_];t:for(;;){if(y=g>>>24,h>>>=y,p-=y,y=g>>>16&255,y===0)T[o++]=g&65535;else if(y&16){S=g&65535,y&=15,y&&(p<y&&(h+=A[r++]<<p,p+=8),S+=h&(1<<y)-1,h>>>=y,p-=y),p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=b[h&v];n:for(;;){if(y=g>>>24,h>>>=y,p-=y,y=g>>>16&255,y&16){if(w=g&65535,y&=15,p<y&&(h+=A[r++]<<p,p+=8,p<y&&(h+=A[r++]<<p,p+=8)),w+=h&(1<<y)-1,w>l){t.msg="invalid distance too far back",k.mode=Ey;break e}if(h>>>=y,p-=y,y=o-s,w>y){if(y=w-y,y>c&&k.sane){t.msg="invalid distance too far back",k.mode=Ey;break e}if(x=0,E=f,d===0){if(x+=u-y,y<S){S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}}else if(d<y){if(x+=u+d-y,y-=d,y<S){S-=y;do T[o++]=f[x++];while(--y);if(x=0,d<S){y=d,S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}}}else if(x+=d-y,y<S){S-=y;do T[o++]=f[x++];while(--y);x=o-w,E=T}for(;S>2;)T[o++]=E[x++],T[o++]=E[x++],T[o++]=E[x++],S-=3;S&&(T[o++]=E[x++],S>1&&(T[o++]=E[x++]))}else{x=o-w;do T[o++]=T[x++],T[o++]=T[x++],T[o++]=T[x++],S-=3;while(S>2);S&&(T[o++]=T[x++],S>1&&(T[o++]=T[x++]))}}else if(y&64){t.msg="invalid distance code",k.mode=Ey;break e}else{g=b[(g&65535)+(h&(1<<y)-1)];continue n}break}}else if(y&64)if(y&32){k.mode=xie;break e}else{t.msg="invalid literal/length code",k.mode=Ey;break e}else{g=m[(g&65535)+(h&(1<<y)-1)];continue t}break}}while(r<i&&o<a);S=p>>3,r-=S,p-=S<<3,h&=(1<<p)-1,t.next_in=r,t.next_out=o,t.avail_in=r<i?5+(i-r):5-(r-i),t.avail_out=o<a?257+(a-o):257-(o-a),k.hold=h,k.bits=p};const cd=15,nP=852,rP=592,iP=0,F2=1,oP=2,Eie=new Uint16Array([3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0]),Tie=new Uint8Array([16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78]),Aie=new Uint16Array([1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0]),kie=new Uint8Array([16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64]),Pie=(e,t,n,r,i,o,s,a)=>{const l=a.bits;let u=0,c=0,d=0,f=0,h=0,p=0,m=0,b=0,_=0,v=0,g,y,S,w,x,E=null,A;const T=new Uint16Array(cd+1),k=new Uint16Array(cd+1);let L=null,N,C,P;for(u=0;u<=cd;u++)T[u]=0;for(c=0;c<r;c++)T[t[n+c]]++;for(h=l,f=cd;f>=1&&T[f]===0;f--);if(h>f&&(h=f),f===0)return i[o++]=1<<24|64<<16|0,i[o++]=1<<24|64<<16|0,a.bits=1,0;for(d=1;d<f&&T[d]===0;d++);for(h<d&&(h=d),b=1,u=1;u<=cd;u++)if(b<<=1,b-=T[u],b<0)return-1;if(b>0&&(e===iP||f!==1))return-1;for(k[1]=0,u=1;u<cd;u++)k[u+1]=k[u]+T[u];for(c=0;c<r;c++)t[n+c]!==0&&(s[k[t[n+c]]++]=c);if(e===iP?(E=L=s,A=20):e===F2?(E=Eie,L=Tie,A=257):(E=Aie,L=kie,A=0),v=0,c=0,u=d,x=o,p=h,m=0,S=-1,_=1<<h,w=_-1,e===F2&&_>nP||e===oP&&_>rP)return 1;for(;;){N=u-m,s[c]+1<A?(C=0,P=s[c]):s[c]>=A?(C=L[s[c]-A],P=E[s[c]-A]):(C=32+64,P=0),g=1<<u-m,y=1<<p,d=y;do y-=g,i[x+(v>>m)+y]=N<<24|C<<16|P|0;while(y!==0);for(g=1<<u-1;v&g;)g>>=1;if(g!==0?(v&=g-1,v+=g):v=0,c++,--T[u]===0){if(u===f)break;u=t[n+s[c]]}if(u>h&&(v&w)!==S){for(m===0&&(m=h),x+=d,p=u-m,b=1<<p;p+m<f&&(b-=T[p+m],!(b<=0));)p++,b<<=1;if(_+=1<<p,e===F2&&_>nP||e===oP&&_>rP)return 1;S=v&w,i[S]=h<<24|p<<16|x-o|0}}return v!==0&&(i[x+v]=u-m<<24|64<<16|0),a.bits=h,0};var wp=Pie;const Rie=0,$D=1,FD=2,{Z_FINISH:sP,Z_BLOCK:Oie,Z_TREES:Ty,Z_OK:kc,Z_STREAM_END:Iie,Z_NEED_DICT:Mie,Z_STREAM_ERROR:rs,Z_DATA_ERROR:BD,Z_MEM_ERROR:zD,Z_BUF_ERROR:Nie,Z_DEFLATED:aP}=Cm,D_=16180,lP=16181,uP=16182,cP=16183,dP=16184,fP=16185,hP=16186,pP=16187,gP=16188,mP=16189,Vv=16190,Aa=16191,B2=16192,yP=16193,z2=16194,vP=16195,_P=16196,bP=16197,SP=16198,Ay=16199,ky=16200,wP=16201,xP=16202,CP=16203,EP=16204,TP=16205,U2=16206,AP=16207,kP=16208,Vn=16209,UD=16210,jD=16211,Die=852,Lie=592,$ie=15,Fie=$ie,PP=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function Bie(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Vc=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.mode<D_||t.mode>jD?1:0},VD=e=>{if(Vc(e))return rs;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=D_,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(Die),t.distcode=t.distdyn=new Int32Array(Lie),t.sane=1,t.back=-1,kc},GD=e=>{if(Vc(e))return rs;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,VD(e)},HD=(e,t)=>{let n;if(Vc(e))return rs;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?rs:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,GD(e))},qD=(e,t)=>{if(!e)return rs;const n=new Bie;e.state=n,n.strm=e,n.window=null,n.mode=D_;const r=HD(e,t);return r!==kc&&(e.state=null),r},zie=e=>qD(e,Fie);let RP=!0,j2,V2;const Uie=e=>{if(RP){j2=new Int32Array(512),V2=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(wp($D,e.lens,0,288,j2,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;wp(FD,e.lens,0,32,V2,0,e.work,{bits:5}),RP=!1}e.lencode=j2,e.lenbits=9,e.distcode=V2,e.distbits=5},WD=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new Uint8Array(o.wsize)),r>=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=i))),0},jie=(e,t)=>{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,v,g,y,S,w,x,E;const A=new Uint8Array(4);let T,k;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Vc(e)||!e.output||!e.input&&e.avail_in!==0)return rs;n=e.state,n.mode===Aa&&(n.mode=B2),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,E=kc;e:for(;;)switch(n.mode){case D_:if(n.wrap===0){n.mode=B2;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&2&&u===35615){n.wbits===0&&(n.wbits=15),n.check=0,A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0),u=0,c=0,n.mode=lP;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Vn;break}if((u&15)!==aP){e.msg="unknown compression method",n.mode=Vn;break}if(u>>>=4,c-=4,x=(u&15)+8,n.wbits===0&&(n.wbits=x),x>15||x>n.wbits){e.msg="invalid window size",n.mode=Vn;break}n.dmax=1<<n.wbits,n.flags=0,e.adler=n.check=1,n.mode=u&512?mP:Aa,u=0,c=0;break;case lP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.flags=u,(n.flags&255)!==aP){e.msg="unknown compression method",n.mode=Vn;break}if(n.flags&57344){e.msg="unknown header flags set",n.mode=Vn;break}n.head&&(n.head.text=u>>8&1),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0,n.mode=uP;case uP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.time=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,A[2]=u>>>16&255,A[3]=u>>>24&255,n.check=Qr(n.check,A,4,0)),u=0,c=0,n.mode=cP;case cP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.xflags=u&255,n.head.os=u>>8),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0,n.mode=dP;case dP:if(n.flags&1024){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length=u,n.head&&(n.head.extra_len=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Qr(n.check,A,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=fP;case fP:if(n.flags&1024&&(h=n.length,h>a&&(h=a),h&&(n.head&&(x=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),x)),n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=hP;case hP:if(n.flags&2048){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.name+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=pP;case pP:if(n.flags&4096){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.comment+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Qr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.comment=null);n.mode=gP;case gP:if(n.flags&512){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.check&65535)){e.msg="header crc mismatch",n.mode=Vn;break}u=0,c=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=Aa;break;case mP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}e.adler=n.check=PP(u),u=0,c=0,n.mode=Vv;case Vv:if(n.havedict===0)return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Mie;e.adler=n.check=1,n.mode=Aa;case Aa:if(t===Oie||t===Ty)break e;case B2:if(n.last){u>>>=c&7,c-=c&7,n.mode=U2;break}for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}switch(n.last=u&1,u>>>=1,c-=1,u&3){case 0:n.mode=yP;break;case 1:if(Uie(n),n.mode=Ay,t===Ty){u>>>=2,c-=2;break e}break;case 2:n.mode=_P;break;case 3:e.msg="invalid block type",n.mode=Vn}u>>>=2,c-=2;break;case yP:for(u>>>=c&7,c-=c&7;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if((u&65535)!==(u>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Vn;break}if(n.length=u&65535,u=0,c=0,n.mode=z2,t===Ty)break e;case z2:n.mode=vP;case vP:if(h=n.length,h){if(h>a&&(h=a),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),s),a-=h,o+=h,l-=h,s+=h,n.length-=h;break}n.mode=Aa;break;case _P:for(;c<14;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.nlen=(u&31)+257,u>>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Vn;break}n.have=0,n.mode=bP;case bP:for(;n.have<n.ncode;){for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.lens[L[n.have++]]=u&7,u>>>=3,c-=3}for(;n.have<19;)n.lens[L[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},E=wp(Rie,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,E){e.msg="invalid code lengths set",n.mode=Vn;break}n.have=0,n.mode=SP;case SP:for(;n.have<n.nlen+n.ndist;){for(;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(g<16)u>>>=_,c-=_,n.lens[n.have++]=g;else{if(g===16){for(k=_+2;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(u>>>=_,c-=_,n.have===0){e.msg="invalid bit length repeat",n.mode=Vn;break}x=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(k=_+3;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=3+(u&7),u>>>=3,c-=3}else{for(k=_+7;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Vn;break}for(;h--;)n.lens[n.have++]=x}}if(n.mode===Vn)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Vn;break}if(n.lenbits=9,T={bits:n.lenbits},E=wp($D,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,E){e.msg="invalid literal/lengths set",n.mode=Vn;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},E=wp(FD,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,E){e.msg="invalid distances set",n.mode=Vn;break}if(n.mode=Ay,t===Ty)break e;case Ay:n.mode=ky;case ky:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Cie(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===Aa&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(v&&!(v&240)){for(y=_,S=v,w=g;b=n.lencode[w+((u&(1<<y+S)-1)>>y)],_=b>>>24,v=b>>>16&255,g=b&65535,!(y+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=y,c-=y,n.back+=y}if(u>>>=_,c-=_,n.back+=_,n.length=g,v===0){n.mode=TP;break}if(v&32){n.back=-1,n.mode=Aa;break}if(v&64){e.msg="invalid literal/length code",n.mode=Vn;break}n.extra=v&15,n.mode=wP;case wP:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=xP;case xP:for(;b=n.distcode[u&(1<<n.distbits)-1],_=b>>>24,v=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(!(v&240)){for(y=_,S=v,w=g;b=n.distcode[w+((u&(1<<y+S)-1)>>y)],_=b>>>24,v=b>>>16&255,g=b&65535,!(y+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=y,c-=y,n.back+=y}if(u>>>=_,c-=_,n.back+=_,v&64){e.msg="invalid distance code",n.mode=Vn;break}n.offset=g,n.extra=v&15,n.mode=CP;case CP:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.offset+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Vn;break}n.mode=EP;case EP:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Vn;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=s-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[s++]=m[p++];while(--h);n.length===0&&(n.mode=ky);break;case TP:if(l===0)break e;i[s++]=n.length,l--,n.mode=ky;break;case U2:if(n.wrap){for(;c<32;){if(a===0)break e;a--,u|=r[o++]<<c,c+=8}if(f-=l,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Qr(n.check,i,f,s-f):xg(n.check,i,f,s-f)),f=l,n.wrap&4&&(n.flags?u:PP(u))!==n.check){e.msg="incorrect data check",n.mode=Vn;break}u=0,c=0}n.mode=AP;case AP:if(n.wrap&&n.flags){for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.total&4294967295)){e.msg="incorrect length check",n.mode=Vn;break}u=0,c=0}n.mode=kP;case kP:E=Iie;break e;case Vn:E=BD;break e;case UD:return zD;case jD:default:return rs}return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,(n.wsize||f!==e.avail_out&&n.mode<Vn&&(n.mode<U2||t!==sP))&&WD(e,e.output,e.next_out,f-e.avail_out),d-=e.avail_in,f-=e.avail_out,e.total_in+=d,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Qr(n.check,i,f,e.next_out-f):xg(n.check,i,f,e.next_out-f)),e.data_type=n.bits+(n.last?64:0)+(n.mode===Aa?128:0)+(n.mode===Ay||n.mode===z2?256:0),(d===0&&f===0||t===sP)&&E===kc&&(E=Nie),E},Vie=e=>{if(Vc(e))return rs;let t=e.state;return t.window&&(t.window=null),e.state=null,kc},Gie=(e,t)=>{if(Vc(e))return rs;const n=e.state;return n.wrap&2?(n.head=t,t.done=!1,kc):rs},Hie=(e,t)=>{const n=t.length;let r,i,o;return Vc(e)||(r=e.state,r.wrap!==0&&r.mode!==Vv)?rs:r.mode===Vv&&(i=1,i=xg(i,t,n,0),i!==r.check)?BD:(o=WD(e,t,n,n),o?(r.mode=UD,zD):(r.havedict=1,kc))};var qie=GD,Wie=HD,Kie=VD,Xie=zie,Qie=qD,Yie=jie,Zie=Vie,Jie=Gie,eoe=Hie,toe="pako inflate (from Nodeca project)",za={inflateReset:qie,inflateReset2:Wie,inflateResetKeep:Kie,inflateInit:Xie,inflateInit2:Qie,inflate:Yie,inflateEnd:Zie,inflateGetHeader:Jie,inflateSetDictionary:eoe,inflateInfo:toe};function noe(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}var roe=noe;const KD=Object.prototype.toString,{Z_NO_FLUSH:ioe,Z_FINISH:ooe,Z_OK:Tg,Z_STREAM_END:G2,Z_NEED_DICT:H2,Z_STREAM_ERROR:soe,Z_DATA_ERROR:OP,Z_MEM_ERROR:aoe}=Cm;function Tm(e){this.options=N_.assign({chunkSize:1024*64,windowBits:15,to:""},e||{});const t=this.options;t.raw&&t.windowBits>=0&&t.windowBits<16&&(t.windowBits=-t.windowBits,t.windowBits===0&&(t.windowBits=-15)),t.windowBits>=0&&t.windowBits<16&&!(e&&e.windowBits)&&(t.windowBits+=32),t.windowBits>15&&t.windowBits<48&&(t.windowBits&15||(t.windowBits|=15)),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new DD,this.strm.avail_out=0;let n=za.inflateInit2(this.strm,t.windowBits);if(n!==Tg)throw new Error(Nf[n]);if(this.header=new roe,za.inflateGetHeader(this.strm,this.header),t.dictionary&&(typeof t.dictionary=="string"?t.dictionary=Eg.string2buf(t.dictionary):KD.call(t.dictionary)==="[object ArrayBuffer]"&&(t.dictionary=new Uint8Array(t.dictionary)),t.raw&&(n=za.inflateSetDictionary(this.strm,t.dictionary),n!==Tg)))throw new Error(Nf[n])}Tm.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize,i=this.options.dictionary;let o,s,a;if(this.ended)return!1;for(t===~~t?s=t:s=t===!0?ooe:ioe,KD.call(e)==="[object ArrayBuffer]"?n.input=new 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ut<"u"?ut:globalThis):function(W){return(vo||(vo=Promise.resolve())).then(W).catch(function(J){return setTimeout(function(){throw J},0)})};function si(W){for(var J=[],te=1;te<arguments.length;te++)J[te-1]=arguments[te];Object.assign.apply(Object,i([W],J))}var yl=y(Mh),Bo=Symbol(),Hr=function(){return{name:Bo,init:function(W,J,te){var le=J.baseQuery,re=J.reducerPath,De=J.serializeQueryArgs,ze=J.keepUnusedDataFor,rt=J.refetchOnMountOrArgChange,Oe=J.refetchOnFocus,Ue=J.refetchOnReconnect;(0,yl.enablePatches)();var Ae=function(Je){return Je};Object.assign(W,{reducerPath:re,endpoints:{},internalActions:{onOnline:U,onOffline:V,onFocus:I,onFocusLost:F},util:{}});var ne=function(Je){var tn=this,Wt=Je.reducerPath,Xn=Je.baseQuery,hr=Je.context.endpointDefinitions,li=Je.serializeQueryArgs,cn=Je.api,kt=function(ve,Xe){return S(tn,[ve,Xe],function(Le,Ce){var je,st,$e,_e,se,Se,ue,fe,be,Qe,Ge,Ee,wt,Dt=Ce.signal,Lt=Ce.abort,Qn=Ce.rejectWithValue,sr=Ce.fulfillWithValue,Rn=Ce.dispatch,_n=Ce.getState,Ui=Ce.extra;return r(this,function($){switch($.label){case 0:je=hr[Le.endpointName],$.label=1;case 1:return $.trys.push([1,8,,13]),st=_r,$e=void 0,_e={signal:Dt,abort:Lt,dispatch:Rn,getState:_n,extra:Ui,endpoint:Le.endpointName,type:Le.type,forced:Le.type==="query"?Ft(Le,_n()):void 0},(se=Le.type==="query"?Le[et]:void 0)?($e=se(),[3,6]):[3,2];case 2:return je.query?[4,Xn(je.query(Le.originalArgs),_e,je.extraOptions)]:[3,4];case 3:return $e=$.sent(),je.transformResponse&&(st=je.transformResponse),[3,6];case 4:return[4,je.queryFn(Le.originalArgs,_e,je.extraOptions,function(G){return Xn(G,_e,je.extraOptions)})];case 5:$e=$.sent(),$.label=6;case 6:if($e.error)throw new P($e.error,$e.meta);return Se=sr,[4,st($e.data,$e.meta,Le.originalArgs)];case 7:return[2,Se.apply(void 0,[$.sent(),(Ee={fulfilledTimeStamp:Date.now(),baseQueryMeta:$e.meta},Ee[Gt.SHOULD_AUTOBATCH]=!0,Ee)])];case 8:if(ue=$.sent(),!((fe=ue)instanceof P))return[3,12];be=_r,je.query&&je.transformErrorResponse&&(be=je.transformErrorResponse),$.label=9;case 9:return $.trys.push([9,11,,12]),Qe=Qn,[4,be(fe.value,fe.meta,Le.originalArgs)];case 10:return[2,Qe.apply(void 0,[$.sent(),(wt={baseQueryMeta:fe.meta},wt[Gt.SHOULD_AUTOBATCH]=!0,wt)])];case 11:return Ge=$.sent(),fe=Ge,[3,12];case 12:throw console.error(fe),fe;case 13:return[2]}})})};function Ft(ve,Xe){var Le,Ce,je,st,$e=(Ce=(Le=Xe[Wt])==null?void 0:Le.queries)==null?void 0:Ce[ve.queryCacheKey],_e=(je=Xe[Wt])==null?void 0:je.config.refetchOnMountOrArgChange,se=$e==null?void 0:$e.fulfilledTimeStamp,Se=(st=ve.forceRefetch)!=null?st:ve.subscribe&&_e;return!!Se&&(Se===!0||(Number(new Date)-Number(se))/1e3>=Se)}var dn=(0,Gt.createAsyncThunk)(Wt+"/executeQuery",kt,{getPendingMeta:function(){var ve;return(ve={startedTimeStamp:Date.now()})[Gt.SHOULD_AUTOBATCH]=!0,ve},condition:function(ve,Xe){var Le,Ce,je,st=(0,Xe.getState)(),$e=(Ce=(Le=st[Wt])==null?void 0:Le.queries)==null?void 0:Ce[ve.queryCacheKey],_e=$e==null?void 0:$e.fulfilledTimeStamp,se=ve.originalArgs,Se=$e==null?void 0:$e.originalArgs,ue=hr[ve.endpointName];return!(!Ne(ve)&&(($e==null?void 0:$e.status)==="pending"||!Ft(ve,st)&&(!ee(ue)||!((je=ue==null?void 0:ue.forceRefetch)!=null&&je.call(ue,{currentArg:se,previousArg:Se,endpointState:$e,state:st})))&&_e))},dispatchConditionRejection:!0}),Kt=(0,Gt.createAsyncThunk)(Wt+"/executeMutation",kt,{getPendingMeta:function(){var ve;return(ve={startedTimeStamp:Date.now()})[Gt.SHOULD_AUTOBATCH]=!0,ve}});function on(ve){return function(Xe){var Le,Ce;return((Ce=(Le=Xe==null?void 0:Xe.meta)==null?void 0:Le.arg)==null?void 0:Ce.endpointName)===ve}}return{queryThunk:dn,mutationThunk:Kt,prefetch:function(ve,Xe,Le){return function(Ce,je){var st=function(ue){return"force"in ue}(Le)&&Le.force,$e=function(ue){return"ifOlderThan"in ue}(Le)&&Le.ifOlderThan,_e=function(ue){return ue===void 0&&(ue=!0),cn.endpoints[ve].initiate(Xe,{forceRefetch:ue})},se=cn.endpoints[ve].select(Xe)(je());if(st)Ce(_e());else if($e){var Se=se==null?void 0:se.fulfilledTimeStamp;if(!Se)return void Ce(_e());(Number(new Date)-Number(new Date(Se)))/1e3>=$e&&Ce(_e())}else Ce(_e(!1))}},updateQueryData:function(ve,Xe,Le){return function(Ce,je){var st,$e,_e=cn.endpoints[ve].select(Xe)(je()),se={patches:[],inversePatches:[],undo:function(){return Ce(cn.util.patchQueryData(ve,Xe,se.inversePatches))}};if(_e.status===t.uninitialized)return se;if("data"in _e)if((0,Te.isDraftable)(_e.data)){var Se=(0,Te.produceWithPatches)(_e.data,Le),ue=Se[2];(st=se.patches).push.apply(st,Se[1]),($e=se.inversePatches).push.apply($e,ue)}else{var fe=Le(_e.data);se.patches.push({op:"replace",path:[],value:fe}),se.inversePatches.push({op:"replace",path:[],value:_e.data})}return Ce(cn.util.patchQueryData(ve,Xe,se.patches)),se}},upsertQueryData:function(ve,Xe,Le){return function(Ce){var je;return Ce(cn.endpoints[ve].initiate(Xe,((je={subscribe:!1,forceRefetch:!0})[et]=function(){return{data:Le}},je)))}},patchQueryData:function(ve,Xe,Le){return function(Ce){Ce(cn.internalActions.queryResultPatched({queryCacheKey:li({queryArgs:Xe,endpointDefinition:hr[ve],endpointName:ve}),patches:Le}))}},buildMatchThunkActions:function(ve,Xe){return{matchPending:(0,lt.isAllOf)((0,lt.isPending)(ve),on(Xe)),matchFulfilled:(0,lt.isAllOf)((0,lt.isFulfilled)(ve),on(Xe)),matchRejected:(0,lt.isAllOf)((0,lt.isRejected)(ve),on(Xe))}}}}({baseQuery:le,reducerPath:re,context:te,api:W,serializeQueryArgs:De}),ye=ne.queryThunk,We=ne.mutationThunk,Ke=ne.patchQueryData,it=ne.updateQueryData,ot=ne.upsertQueryData,pt=ne.prefetch,vt=ne.buildMatchThunkActions,St=function(Je){var tn=Je.reducerPath,Wt=Je.queryThunk,Xn=Je.mutationThunk,hr=Je.context,li=hr.endpointDefinitions,cn=hr.apiUid,kt=hr.extractRehydrationInfo,Ft=hr.hasRehydrationInfo,dn=Je.assertTagType,Kt=Je.config,on=(0,ae.createAction)(tn+"/resetApiState"),ve=(0,ae.createSlice)({name:tn+"/queries",initialState:jr,reducers:{removeQueryResult:{reducer:function(_e,se){delete _e[se.payload.queryCacheKey]},prepare:(0,ae.prepareAutoBatched)()},queryResultPatched:function(_e,se){var Se=se.payload,ue=Se.patches;An(_e,Se.queryCacheKey,function(fe){fe.data=(0,Ht.applyPatches)(fe.data,ue.concat())})}},extraReducers:function(_e){_e.addCase(Wt.pending,function(se,Se){var ue,fe=Se.meta,be=Se.meta.arg,Qe=Ne(be);(be.subscribe||Qe)&&(se[ue=be.queryCacheKey]!=null||(se[ue]={status:t.uninitialized,endpointName:be.endpointName})),An(se,be.queryCacheKey,function(Ge){Ge.status=t.pending,Ge.requestId=Qe&&Ge.requestId?Ge.requestId:fe.requestId,be.originalArgs!==void 0&&(Ge.originalArgs=be.originalArgs),Ge.startedTimeStamp=fe.startedTimeStamp})}).addCase(Wt.fulfilled,function(se,Se){var ue=Se.meta,fe=Se.payload;An(se,ue.arg.queryCacheKey,function(be){var Qe;if(be.requestId===ue.requestId||Ne(ue.arg)){var Ge=li[ue.arg.endpointName].merge;if(be.status=t.fulfilled,Ge)if(be.data!==void 0){var Ee=ue.fulfilledTimeStamp,wt=ue.arg,Dt=ue.baseQueryMeta,Lt=ue.requestId,Qn=(0,ae.createNextState)(be.data,function(sr){return Ge(sr,fe,{arg:wt.originalArgs,baseQueryMeta:Dt,fulfilledTimeStamp:Ee,requestId:Lt})});be.data=Qn}else be.data=fe;else be.data=(Qe=li[ue.arg.endpointName].structuralSharing)==null||Qe?E((0,vn.isDraft)(be.data)?(0,Ht.original)(be.data):be.data,fe):fe;delete be.error,be.fulfilledTimeStamp=ue.fulfilledTimeStamp}})}).addCase(Wt.rejected,function(se,Se){var ue=Se.meta,fe=ue.condition,be=ue.requestId,Qe=Se.error,Ge=Se.payload;An(se,ue.arg.queryCacheKey,function(Ee){if(!fe){if(Ee.requestId!==be)return;Ee.status=t.rejected,Ee.error=Ge??Qe}})}).addMatcher(Ft,function(se,Se){for(var ue=kt(Se).queries,fe=0,be=Object.entries(ue);fe<be.length;fe++){var Qe=be[fe],Ge=Qe[1];(Ge==null?void 0:Ge.status)!==t.fulfilled&&(Ge==null?void 0:Ge.status)!==t.rejected||(se[Qe[0]]=Ge)}})}}),Xe=(0,ae.createSlice)({name:tn+"/mutations",initialState:jr,reducers:{removeMutationResult:{reducer:function(_e,se){var Se=br(se.payload);Se in _e&&delete _e[Se]},prepare:(0,ae.prepareAutoBatched)()}},extraReducers:function(_e){_e.addCase(Xn.pending,function(se,Se){var ue=Se.meta,fe=ue.requestId,be=ue.arg,Qe=ue.startedTimeStamp;be.track&&(se[br(Se.meta)]={requestId:fe,status:t.pending,endpointName:be.endpointName,startedTimeStamp:Qe})}).addCase(Xn.fulfilled,function(se,Se){var ue=Se.payload,fe=Se.meta;fe.arg.track&&eo(se,fe,function(be){be.requestId===fe.requestId&&(be.status=t.fulfilled,be.data=ue,be.fulfilledTimeStamp=fe.fulfilledTimeStamp)})}).addCase(Xn.rejected,function(se,Se){var ue=Se.payload,fe=Se.error,be=Se.meta;be.arg.track&&eo(se,be,function(Qe){Qe.requestId===be.requestId&&(Qe.status=t.rejected,Qe.error=ue??fe)})}).addMatcher(Ft,function(se,Se){for(var ue=kt(Se).mutations,fe=0,be=Object.entries(ue);fe<be.length;fe++){var Qe=be[fe],Ge=Qe[0],Ee=Qe[1];(Ee==null?void 0:Ee.status)!==t.fulfilled&&(Ee==null?void 0:Ee.status)!==t.rejected||Ge===(Ee==null?void 0:Ee.requestId)||(se[Ge]=Ee)}})}}),Le=(0,ae.createSlice)({name:tn+"/invalidation",initialState:jr,reducers:{},extraReducers:function(_e){_e.addCase(ve.actions.removeQueryResult,function(se,Se){for(var ue=Se.payload.queryCacheKey,fe=0,be=Object.values(se);fe<be.length;fe++)for(var Qe=0,Ge=Object.values(be[fe]);Qe<Ge.length;Qe++){var Ee=Ge[Qe],wt=Ee.indexOf(ue);wt!==-1&&Ee.splice(wt,1)}}).addMatcher(Ft,function(se,Se){for(var ue,fe,be,Qe,Ge=kt(Se).provided,Ee=0,wt=Object.entries(Ge);Ee<wt.length;Ee++)for(var Dt=wt[Ee],Lt=Dt[0],Qn=0,sr=Object.entries(Dt[1]);Qn<sr.length;Qn++)for(var Rn=sr[Qn],_n=Rn[0],Ui=Rn[1],$=(Qe=(fe=(ue=se[Lt])!=null?ue:se[Lt]={})[be=_n||"__internal_without_id"])!=null?Qe:fe[be]=[],G=0,X=Ui;G<X.length;G++){var de=X[G];$.includes(de)||$.push(de)}}).addMatcher((0,ae.isAnyOf)((0,ae.isFulfilled)(Wt),(0,ae.isRejectedWithValue)(Wt)),function(se,Se){for(var ue,fe,be,Qe,Ge=Tn(Se,"providesTags",li,dn),Ee=Se.meta.arg.queryCacheKey,wt=0,Dt=Object.values(se);wt<Dt.length;wt++)for(var Lt=0,Qn=Object.values(Dt[wt]);Lt<Qn.length;Lt++){var sr=Qn[Lt],Rn=sr.indexOf(Ee);Rn!==-1&&sr.splice(Rn,1)}for(var _n=0,Ui=Ge;_n<Ui.length;_n++){var $=Ui[_n],G=$.type,X=$.id,de=(Qe=(fe=(ue=se[G])!=null?ue:se[G]={})[be=X||"__internal_without_id"])!=null?Qe:fe[be]=[];de.includes(Ee)||de.push(Ee)}})}}),Ce=(0,ae.createSlice)({name:tn+"/subscriptions",initialState:jr,reducers:{updateSubscriptionOptions:function(_e,se){},unsubscribeQueryResult:function(_e,se){},internal_probeSubscription:function(_e,se){}}}),je=(0,ae.createSlice)({name:tn+"/internalSubscriptions",initialState:jr,reducers:{subscriptionsUpdated:{reducer:function(_e,se){return(0,Ht.applyPatches)(_e,se.payload)},prepare:(0,ae.prepareAutoBatched)()}}}),st=(0,ae.createSlice)({name:tn+"/config",initialState:b({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},Kt),reducers:{middlewareRegistered:function(_e,se){_e.middlewareRegistered=_e.middlewareRegistered!=="conflict"&&cn===se.payload||"conflict"}},extraReducers:function(_e){_e.addCase(U,function(se){se.online=!0}).addCase(V,function(se){se.online=!1}).addCase(I,function(se){se.focused=!0}).addCase(F,function(se){se.focused=!1}).addMatcher(Ft,function(se){return b({},se)})}}),$e=(0,ae.combineReducers)({queries:ve.reducer,mutations:Xe.reducer,provided:Le.reducer,subscriptions:je.reducer,config:st.reducer});return{reducer:function(_e,se){return $e(on.match(se)?void 0:_e,se)},actions:_(b(b(b(b(b({},st.actions),ve.actions),Ce.actions),je.actions),Xe.actions),{unsubscribeMutationResult:Xe.actions.removeMutationResult,resetApiState:on})}}({context:te,queryThunk:ye,mutationThunk:We,reducerPath:re,assertTagType:Ae,config:{refetchOnFocus:Oe,refetchOnReconnect:Ue,refetchOnMountOrArgChange:rt,keepUnusedDataFor:ze,reducerPath:re}}),Jt=St.reducer,en=St.actions;si(W.util,{patchQueryData:Ke,updateQueryData:it,upsertQueryData:ot,prefetch:pt,resetApiState:en.resetApiState}),si(W.internalActions,en);var Ci=function(Je){var tn=Je.reducerPath,Wt=Je.queryThunk,Xn=Je.api,hr=Je.context,li=hr.apiUid,cn={invalidateTags:(0,Ea.createAction)(tn+"/invalidateTags")},kt=[Ir,Pn,Or,wr,xi,oi];return{middleware:function(dn){var Kt=!1,on=_(b({},Je),{internalState:{currentSubscriptions:{}},refetchQuery:Ft}),ve=kt.map(function(Ce){return Ce(on)}),Xe=function(Ce){var je=Ce.api,st=Ce.queryThunk,$e=Ce.internalState,_e=je.reducerPath+"/subscriptions",se=null,Se=!1,ue=je.internalActions,fe=ue.updateSubscriptionOptions,be=ue.unsubscribeQueryResult;return function(Qe,Ge){var Ee,wt;if(se||(se=JSON.parse(JSON.stringify($e.currentSubscriptions))),je.util.resetApiState.match(Qe))return se=$e.currentSubscriptions={},[!0,!1];if(je.internalActions.internal_probeSubscription.match(Qe)){var Dt=Qe.payload;return[!1,!!((Ee=$e.currentSubscriptions[Dt.queryCacheKey])!=null&&Ee[Dt.requestId])]}var Lt=function(Rn,_n){var Ui,$,G,X,de,_t,nn,bn,Ct;if(fe.match(_n)){var fn=_n.payload,ui=fn.queryCacheKey,jn=fn.requestId;return(Ui=Rn==null?void 0:Rn[ui])!=null&&Ui[jn]&&(Rn[ui][jn]=fn.options),!0}if(be.match(_n)){var vl=_n.payload;return jn=vl.requestId,Rn[ui=vl.queryCacheKey]&&delete Rn[ui][jn],!0}if(je.internalActions.removeQueryResult.match(_n))return delete Rn[_n.payload.queryCacheKey],!0;if(st.pending.match(_n)){var id=_n.meta;if(jn=id.requestId,(sd=id.arg).subscribe)return(_l=(G=Rn[$=sd.queryCacheKey])!=null?G:Rn[$]={})[jn]=(de=(X=sd.subscriptionOptions)!=null?X:_l[jn])!=null?de:{},!0}if(st.rejected.match(_n)){var _l,od=_n.meta,sd=od.arg;if(jn=od.requestId,od.condition&&sd.subscribe)return(_l=(nn=Rn[_t=sd.queryCacheKey])!=null?nn:Rn[_t]={})[jn]=(Ct=(bn=sd.subscriptionOptions)!=null?bn:_l[jn])!=null?Ct:{},!0}return!1}($e.currentSubscriptions,Qe);if(Lt){Se||(Bs(function(){var Rn=JSON.parse(JSON.stringify($e.currentSubscriptions)),_n=(0,hs.produceWithPatches)(se,function(){return Rn});Ge.next(je.internalActions.subscriptionsUpdated(_n[1])),se=Rn,Se=!1}),Se=!0);var Qn=!!((wt=Qe.type)!=null&&wt.startsWith(_e)),sr=st.rejected.match(Qe)&&Qe.meta.condition&&!!Qe.meta.arg.subscribe;return[!Qn&&!sr,!1]}return[!0,!1]}}(on),Le=function(Ce){var je=Ce.reducerPath,st=Ce.context,$e=Ce.refetchQuery,_e=Ce.internalState,se=Ce.api.internalActions.removeQueryResult;function Se(ue,fe){var be=ue.getState()[je],Qe=be.queries,Ge=_e.currentSubscriptions;st.batch(function(){for(var Ee=0,wt=Object.keys(Ge);Ee<wt.length;Ee++){var Dt=wt[Ee],Lt=Qe[Dt],Qn=Ge[Dt];Qn&&Lt&&(Object.values(Qn).some(function(sr){return sr[fe]===!0})||Object.values(Qn).every(function(sr){return sr[fe]===void 0})&&be.config[fe])&&(Object.keys(Qn).length===0?ue.dispatch(se({queryCacheKey:Dt})):Lt.status!==t.uninitialized&&ue.dispatch($e(Lt,Dt)))}})}return function(ue,fe){I.match(ue)&&Se(fe,"refetchOnFocus"),U.match(ue)&&Se(fe,"refetchOnReconnect")}}(on);return function(Ce){return function(je){Kt||(Kt=!0,dn.dispatch(Xn.internalActions.middlewareRegistered(li)));var st,$e=_(b({},dn),{next:Ce}),_e=dn.getState(),se=Xe(je,$e,_e),Se=se[1];if(st=se[0]?Ce(je):Se,dn.getState()[tn]&&(Le(je,$e,_e),function(be){return!!be&&typeof be.type=="string"&&be.type.startsWith(tn+"/")}(je)||hr.hasRehydrationInfo(je)))for(var ue=0,fe=ve;ue<fe.length;ue++)(0,fe[ue])(je,$e,_e);return st}}},actions:cn};function Ft(dn,Kt,on){return on===void 0&&(on={}),Wt(b({type:"query",endpointName:dn.endpointName,originalArgs:dn.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:Kt},on))}}({reducerPath:re,context:te,queryThunk:ye,mutationThunk:We,api:W,assertTagType:Ae}),_o=Ci.middleware;si(W.util,Ci.actions),si(W,{reducer:Jt,middleware:_o});var Ei=function(Je){var tn=Je.serializeQueryArgs,Wt=Je.reducerPath,Xn=function(kt){return kn},hr=function(kt){return un};return{buildQuerySelector:function(kt,Ft){return function(dn){var Kt=tn({queryArgs:dn,endpointDefinition:Ft,endpointName:kt});return(0,K.createSelector)(dn===or?Xn:function(on){var ve,Xe,Le;return(Le=(Xe=(ve=cn(on))==null?void 0:ve.queries)==null?void 0:Xe[Kt])!=null?Le:kn},li)}},buildMutationSelector:function(){return function(kt){var Ft,dn;return dn=typeof kt=="object"?(Ft=br(kt))!=null?Ft:or:kt,(0,K.createSelector)(dn===or?hr:function(Kt){var on,ve,Xe;return(Xe=(ve=(on=cn(Kt))==null?void 0:on.mutations)==null?void 0:ve[dn])!=null?Xe:un},li)}},selectInvalidatedBy:function(kt,Ft){for(var dn,Kt=kt[Wt],on=new Set,ve=0,Xe=Ft.map(ge);ve<Xe.length;ve++){var Le=Xe[ve],Ce=Kt.provided[Le.type];if(Ce)for(var je=0,st=(dn=Le.id!==void 0?Ce[Le.id]:w(Object.values(Ce)))!=null?dn:[];je<st.length;je++)on.add(st[je])}return w(Array.from(on.values()).map(function($e){var _e=Kt.queries[$e];return _e?[{queryCacheKey:$e,endpointName:_e.endpointName,originalArgs:_e.originalArgs}]:[]}))}};function li(kt){return b(b({},kt),{status:Ft=kt.status,isUninitialized:Ft===t.uninitialized,isLoading:Ft===t.pending,isSuccess:Ft===t.fulfilled,isError:Ft===t.rejected});var Ft}function cn(kt){return kt[Wt]}}({serializeQueryArgs:De,reducerPath:re}),fr=Ei.buildQuerySelector,ai=Ei.buildMutationSelector;si(W.util,{selectInvalidatedBy:Ei.selectInvalidatedBy});var Un=function(Je){var tn=Je.serializeQueryArgs,Wt=Je.queryThunk,Xn=Je.mutationThunk,hr=Je.api,li=Je.context,cn=new Map,kt=new Map,Ft=hr.internalActions,dn=Ft.unsubscribeQueryResult,Kt=Ft.removeMutationResult,on=Ft.updateSubscriptionOptions;return{buildInitiateQuery:function(ve,Xe){var Le=function(Ce,je){var st=je===void 0?{}:je,$e=st.subscribe,_e=$e===void 0||$e,se=st.forceRefetch,Se=st.subscriptionOptions,ue=st[et];return function(fe,be){var Qe,Ge,Ee=tn({queryArgs:Ce,endpointDefinition:Xe,endpointName:ve}),wt=Wt(((Qe={type:"query",subscribe:_e,forceRefetch:se,subscriptionOptions:Se,endpointName:ve,originalArgs:Ce,queryCacheKey:Ee})[et]=ue,Qe)),Dt=hr.endpoints[ve].select(Ce),Lt=fe(wt),Qn=Dt(be()),sr=Lt.requestId,Rn=Lt.abort,_n=Qn.requestId!==sr,Ui=(Ge=cn.get(fe))==null?void 0:Ge[Ee],$=function(){return Dt(be())},G=Object.assign(ue?Lt.then($):_n&&!Ui?Promise.resolve(Qn):Promise.all([Ui,Lt]).then($),{arg:Ce,requestId:sr,subscriptionOptions:Se,queryCacheKey:Ee,abort:Rn,unwrap:function(){return S(this,null,function(){var de;return r(this,function(_t){switch(_t.label){case 0:return[4,G];case 1:if((de=_t.sent()).isError)throw de.error;return[2,de.data]}})})},refetch:function(){return fe(Le(Ce,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){_e&&fe(dn({queryCacheKey:Ee,requestId:sr}))},updateSubscriptionOptions:function(de){G.subscriptionOptions=de,fe(on({endpointName:ve,requestId:sr,queryCacheKey:Ee,options:de}))}});if(!Ui&&!_n&&!ue){var X=cn.get(fe)||{};X[Ee]=G,cn.set(fe,X),G.then(function(){delete X[Ee],Object.keys(X).length||cn.delete(fe)})}return G}};return Le},buildInitiateMutation:function(ve){return function(Xe,Le){var Ce=Le===void 0?{}:Le,je=Ce.track,st=je===void 0||je,$e=Ce.fixedCacheKey;return function(_e,se){var Se=Xn({type:"mutation",endpointName:ve,originalArgs:Xe,track:st,fixedCacheKey:$e}),ue=_e(Se),fe=ue.requestId,be=ue.abort,Qe=ue.unwrap,Ge=ue.unwrap().then(function(Lt){return{data:Lt}}).catch(function(Lt){return{error:Lt}}),Ee=function(){_e(Kt({requestId:fe,fixedCacheKey:$e}))},wt=Object.assign(Ge,{arg:ue.arg,requestId:fe,abort:be,unwrap:Qe,unsubscribe:Ee,reset:Ee}),Dt=kt.get(_e)||{};return kt.set(_e,Dt),Dt[fe]=wt,wt.then(function(){delete Dt[fe],Object.keys(Dt).length||kt.delete(_e)}),$e&&(Dt[$e]=wt,wt.then(function(){Dt[$e]===wt&&(delete Dt[$e],Object.keys(Dt).length||kt.delete(_e))})),wt}}},getRunningQueryThunk:function(ve,Xe){return function(Le){var Ce,je=tn({queryArgs:Xe,endpointDefinition:li.endpointDefinitions[ve],endpointName:ve});return(Ce=cn.get(Le))==null?void 0:Ce[je]}},getRunningMutationThunk:function(ve,Xe){return function(Le){var Ce;return(Ce=kt.get(Le))==null?void 0:Ce[Xe]}},getRunningQueriesThunk:function(){return function(ve){return Object.values(cn.get(ve)||{}).filter(dt)}},getRunningMutationsThunk:function(){return function(ve){return Object.values(kt.get(ve)||{}).filter(dt)}},getRunningOperationPromises:function(){var ve=function(Xe){return Array.from(Xe.values()).flatMap(function(Le){return Le?Object.values(Le):[]})};return i(i([],ve(cn)),ve(kt)).filter(dt)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
+       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
+       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:ye,mutationThunk:We,api:W,serializeQueryArgs:De,context:te}),ro=Un.buildInitiateQuery,ps=Un.buildInitiateMutation;return si(W.util,{getRunningOperationPromises:Un.getRunningOperationPromises,getRunningOperationPromise:Un.removalWarning,getRunningMutationThunk:Un.getRunningMutationThunk,getRunningMutationsThunk:Un.getRunningMutationsThunk,getRunningQueryThunk:Un.getRunningQueryThunk,getRunningQueriesThunk:Un.getRunningQueriesThunk}),{name:Bo,injectEndpoint:function(Je,tn){var Wt,Xn=W;(Wt=Xn.endpoints)[Je]!=null||(Wt[Je]={}),ee(tn)?si(Xn.endpoints[Je],{name:Je,select:fr(Je,tn),initiate:ro(Je,tn)},vt(ye,Je)):tn.type===Q.mutation&&si(Xn.endpoints[Je],{name:Je,select:ai(),initiate:ps(Je)},vt(We,Je))}}}}},Ta=to(Hr())})(v$);y$.exports=v$;var qce=y$.exports;const he=mu.injectEndpoints({endpoints:e=>({listImages:e.query({query:t=>({url:xo(t),method:"GET"}),providesTags:(t,n,{board_id:r,categories:i})=>[{type:"ImageList",id:xo({board_id:r,categories:i})}],serializeQueryArgs:({queryArgs:t})=>{const{board_id:n,categories:r}=t;return xo({board_id:n,categories:r})},transformResponse(t){const{items:n}=t;return Mn.addMany(Mn.getInitialState(),n)},merge:(t,n)=>{Mn.addMany(t,i1.selectAll(n))},forceRefetch({currentArg:t,previousArg:n}){return(t==null?void 0:t.offset)!==(n==null?void 0:n.offset)},async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r;i1.selectAll(i).forEach(o=>{n(he.util.upsertQueryData("getImageDTO",o.image_name,o))})}catch{}},keepUnusedDataFor:86400}),getIntermediatesCount:e.query({query:()=>({url:xo({is_intermediate:!0})}),providesTags:["IntermediatesCount"],transformResponse:t=>t.total}),getImageDTO:e.query({query:t=>({url:`images/i/${t}`}),providesTags:(t,n,r)=>[{type:"Image",id:r}],keepUnusedDataFor:86400}),getImageMetadata:e.query({query:t=>({url:`images/i/${t}/metadata`}),providesTags:(t,n,r)=>[{type:"ImageMetadata",id:r}],keepUnusedDataFor:86400}),getImageMetadataFromFile:e.query({queryFn:async(t,n,r)=>{const i=Mf.get(),o=vg.get(),a=await qce.fetchBaseQuery({baseUrl:"",prepareHeaders:u=>(i&&u.set("Authorization",`Bearer ${i}`),o&&u.set("project-id",o),u),responseHandler:async u=>await u.blob()})(t.image_url,n,r);return{data:await Wle(a.data)}},providesTags:(t,n,r)=>[{type:"ImageMetadataFromFile",id:r.image_name}],keepUnusedDataFor:86400}),clearIntermediates:e.mutation({query:()=>({url:"images/clear-intermediates",method:"POST"}),invalidatesTags:["IntermediatesCount"]}),deleteImage:e.mutation({query:({image_name:t})=>({url:`images/i/${t}`,method:"DELETE"}),invalidatesTags:(t,n,{board_id:r})=>[{type:"BoardImagesTotal",id:r??"none"},{type:"BoardAssetsTotal",id:r??"none"}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){const{image_name:i,board_id:o}=t,s={board_id:o??"none",categories:zo(t)},a=n(he.util.updateQueryData("listImages",s,l=>{Mn.removeOne(l,i)}));try{await r}catch{a.undo()}}}),deleteImages:e.mutation({query:({imageDTOs:t})=>({url:"images/delete",method:"POST",body:{image_names:t.map(r=>r.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{var o;const i=(o=r[0])==null?void 0:o.board_id;return[{type:"BoardImagesTotal",id:i??"none"},{type:"BoardAssetsTotal",id:i??"none"}]},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,o=pE(t,"image_name");i.deleted_images.forEach(s=>{const a=o[s];if(a){const l={board_id:a.board_id??"none",categories:zo(a)};n(he.util.updateQueryData("listImages",l,u=>{Mn.removeOne(u,s)}))}})}catch{}}}),changeImageIsIntermediate:e.mutation({query:({imageDTO:t,is_intermediate:n})=>({url:`images/i/${t.image_name}`,method:"PATCH",body:{is_intermediate:n}}),invalidatesTags:(t,n,{imageDTO:r})=>[{type:"BoardImagesTotal",id:r.board_id??"none"},{type:"BoardAssetsTotal",id:r.board_id??"none"}],async onQueryStarted({imageDTO:t,is_intermediate:n},{dispatch:r,queryFulfilled:i,getState:o}){const s=[];s.push(r(he.util.updateQueryData("getImageDTO",t.image_name,l=>{Object.assign(l,{is_intermediate:n})})));const a=zo(t);if(n)s.push(r(he.util.updateQueryData("listImages",{board_id:t.board_id??"none",categories:a},l=>{Mn.removeOne(l,t.image_name)})));else{const l={board_id:t.board_id??"none",categories:a},u=he.endpoints.listImages.select(l)(o()),{data:c}=Kr.includes(t.image_category)?fi.endpoints.getBoardImagesTotal.select(t.board_id??"none")(o()):fi.endpoints.getBoardAssetsTotal.select(t.board_id??"none")(o()),d=u.data&&u.data.ids.length>=(c??0),f=Fu(u.data,t);(d||f)&&s.push(r(he.util.updateQueryData("listImages",l,h=>{Mn.upsertOne(h,t)})))}try{await i}catch{s.forEach(l=>l.undo())}}}),changeImageSessionId:e.mutation({query:({imageDTO:t,session_id:n})=>({url:`images/i/${t.image_name}`,method:"PATCH",body:{session_id:n}}),invalidatesTags:(t,n,{imageDTO:r})=>[{type:"BoardImagesTotal",id:r.board_id??"none"},{type:"BoardAssetsTotal",id:r.board_id??"none"}],async onQueryStarted({imageDTO:t,session_id:n},{dispatch:r,queryFulfilled:i}){const o=[];o.push(r(he.util.updateQueryData("getImageDTO",t.image_name,s=>{Object.assign(s,{session_id:n})})));try{await i}catch{o.forEach(s=>s.undo())}}}),starImages:e.mutation({query:({imageDTOs:t})=>({url:"images/star",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{if(r[0]){const i=zo(r[0]),o=r[0].board_id;return[{type:"ImageList",id:xo({board_id:o,categories:i})}]}return[]},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,s=t.filter(u=>o.updated_image_names.includes(u.image_name));if(!s[0])return;const a=zo(s[0]),l=s[0].board_id;s.forEach(u=>{const{image_name:c}=u;n(he.util.updateQueryData("getImageDTO",c,b=>{b.starred=!0}));const d={board_id:l??"none",categories:a},f=he.endpoints.listImages.select(d)(i()),{data:h}=Kr.includes(u.image_category)?fi.endpoints.getBoardImagesTotal.select(l??"none")(i()):fi.endpoints.getBoardAssetsTotal.select(l??"none")(i()),p=f.data&&f.data.ids.length>=(h??0),m=(h||0)>=xy?Fu(f.data,u):!0;(p||m)&&n(he.util.updateQueryData("listImages",d,b=>{Mn.upsertOne(b,{...u,starred:!0})}))})}catch{}}}),unstarImages:e.mutation({query:({imageDTOs:t})=>({url:"images/unstar",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{if(r[0]){const i=zo(r[0]),o=r[0].board_id;return[{type:"ImageList",id:xo({board_id:o,categories:i})}]}return[]},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,s=t.filter(u=>o.updated_image_names.includes(u.image_name));if(!s[0])return;const a=zo(s[0]),l=s[0].board_id;s.forEach(u=>{const{image_name:c}=u;n(he.util.updateQueryData("getImageDTO",c,b=>{b.starred=!1}));const d={board_id:l??"none",categories:a},f=he.endpoints.listImages.select(d)(i()),{data:h}=Kr.includes(u.image_category)?fi.endpoints.getBoardImagesTotal.select(l??"none")(i()):fi.endpoints.getBoardAssetsTotal.select(l??"none")(i()),p=f.data&&f.data.ids.length>=(h??0),m=(h||0)>=xy?Fu(f.data,u):!0;(p||m)&&n(he.util.updateQueryData("listImages",d,b=>{Mn.upsertOne(b,{...u,starred:!1})}))})}catch{}}}),uploadImage:e.mutation({query:({file:t,image_category:n,is_intermediate:r,session_id:i,board_id:o,crop_visible:s})=>{const a=new FormData;return a.append("file",t),{url:"images/upload",method:"POST",body:a,params:{image_category:n,is_intermediate:r,session_id:i,board_id:o==="none"?void 0:o,crop_visible:s}}},async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r;if(i.is_intermediate)return;n(he.util.upsertQueryData("getImageDTO",i.image_name,i));const o=zo(i);n(he.util.updateQueryData("listImages",{board_id:i.board_id??"none",categories:o},s=>{Mn.addOne(s,i)})),n(he.util.invalidateTags([{type:"BoardImagesTotal",id:i.board_id??"none"},{type:"BoardAssetsTotal",id:i.board_id??"none"}]))}catch{}}}),deleteBoard:e.mutation({query:t=>({url:`boards/${t}`,method:"DELETE"}),invalidatesTags:()=>[{type:"Board",id:ft},{type:"ImageList",id:xo({board_id:"none",categories:Kr})},{type:"ImageList",id:xo({board_id:"none",categories:jl})},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,{deleted_board_images:o}=i;o.forEach(l=>{n(he.util.updateQueryData("getImageDTO",l,u=>{u.board_id=void 0}))});const s=[{categories:Kr},{categories:jl}],a=o.map(l=>({id:l,changes:{board_id:void 0}}));s.forEach(l=>{n(he.util.updateQueryData("listImages",l,u=>{Mn.updateMany(u,a)}))})}catch{}}}),deleteBoardAndImages:e.mutation({query:t=>({url:`boards/${t}`,method:"DELETE",params:{include_images:!0}}),invalidatesTags:()=>[{type:"Board",id:ft},{type:"ImageList",id:xo({board_id:"none",categories:Kr})},{type:"ImageList",id:xo({board_id:"none",categories:jl})},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,{deleted_images:o}=i;[{categories:Kr},{categories:jl}].forEach(a=>{n(he.util.updateQueryData("listImages",a,l=>{Mn.removeMany(l,o)}))})}catch{}}}),addImageToBoard:e.mutation({query:({board_id:t,imageDTO:n})=>{const{image_name:r}=n;return{url:"board_images/",method:"POST",body:{board_id:t,image_name:r}}},invalidatesTags:(t,n,{board_id:r,imageDTO:i})=>[{type:"Board",id:r},{type:"BoardImagesTotal",id:r},{type:"BoardAssetsTotal",id:r},{type:"BoardImagesTotal",id:i.board_id??"none"},{type:"BoardAssetsTotal",id:i.board_id??"none"}],async onQueryStarted({board_id:t,imageDTO:n},{dispatch:r,queryFulfilled:i,getState:o}){const s=[],a=zo(n);if(s.push(r(he.util.updateQueryData("getImageDTO",n.image_name,l=>{l.board_id=t}))),!n.is_intermediate){s.push(r(he.util.updateQueryData("listImages",{board_id:n.board_id??"none",categories:a},h=>{Mn.removeOne(h,n.image_name)})));const l={board_id:t??"none",categories:a},u=he.endpoints.listImages.select(l)(o()),{data:c}=Kr.includes(n.image_category)?fi.endpoints.getBoardImagesTotal.select(n.board_id??"none")(o()):fi.endpoints.getBoardAssetsTotal.select(n.board_id??"none")(o()),d=u.data&&u.data.ids.length>=(c??0),f=Fu(u.data,n);(d||f)&&s.push(r(he.util.updateQueryData("listImages",l,h=>{Mn.addOne(h,n)})))}try{await i}catch{s.forEach(l=>l.undo())}}}),removeImageFromBoard:e.mutation({query:({imageDTO:t})=>{const{image_name:n}=t;return{url:"board_images/",method:"DELETE",body:{image_name:n}}},invalidatesTags:(t,n,{imageDTO:r})=>{const{board_id:i}=r;return[{type:"Board",id:i??"none"},{type:"BoardImagesTotal",id:i??"none"},{type:"BoardAssetsTotal",id:i??"none"},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}]},async onQueryStarted({imageDTO:t},{dispatch:n,queryFulfilled:r,getState:i}){const o=zo(t),s=[];s.push(n(he.util.updateQueryData("getImageDTO",t.image_name,f=>{f.board_id=void 0}))),s.push(n(he.util.updateQueryData("listImages",{board_id:t.board_id??"none",categories:o},f=>{Mn.removeOne(f,t.image_name)})));const a={board_id:"none",categories:o},l=he.endpoints.listImages.select(a)(i()),{data:u}=Kr.includes(t.image_category)?fi.endpoints.getBoardImagesTotal.select(t.board_id??"none")(i()):fi.endpoints.getBoardAssetsTotal.select(t.board_id??"none")(i()),c=l.data&&l.data.ids.length>=(u??0),d=Fu(l.data,t);(c||d)&&s.push(n(he.util.updateQueryData("listImages",a,f=>{Mn.upsertOne(f,t)})));try{await r}catch{s.forEach(f=>f.undo())}}}),addImagesToBoard:e.mutation({query:({board_id:t,imageDTOs:n})=>({url:"board_images/batch",method:"POST",body:{image_names:n.map(r=>r.image_name),board_id:t}}),invalidatesTags:(t,n,{imageDTOs:r,board_id:i})=>{var s;const o=(s=r[0])==null?void 0:s.board_id;return[{type:"Board",id:i??"none"},{type:"BoardImagesTotal",id:i??"none"},{type:"BoardAssetsTotal",id:i??"none"},{type:"BoardImagesTotal",id:o??"none"},{type:"BoardAssetsTotal",id:o??"none"},{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}]},async onQueryStarted({board_id:t,imageDTOs:n},{dispatch:r,queryFulfilled:i,getState:o}){try{const{data:s}=await i,{added_image_names:a}=s;a.forEach(l=>{r(he.util.updateQueryData("getImageDTO",l,_=>{_.board_id=t}));const u=n.find(_=>_.image_name===l);if(!u)return;const c=zo(u),d=u.board_id;r(he.util.updateQueryData("listImages",{board_id:d??"none",categories:c},_=>{Mn.removeOne(_,u.image_name)}));const f={board_id:t,categories:c},h=he.endpoints.listImages.select(f)(o()),{data:p}=Kr.includes(u.image_category)?fi.endpoints.getBoardImagesTotal.select(t??"none")(o()):fi.endpoints.getBoardAssetsTotal.select(t??"none")(o()),m=h.data&&h.data.ids.length>=(p??0),b=(p||0)>=xy?Fu(h.data,u):!0;(m||b)&&r(he.util.updateQueryData("listImages",f,_=>{Mn.upsertOne(_,{...u,board_id:t})}))})}catch{}}}),removeImagesFromBoard:e.mutation({query:({imageDTOs:t})=>({url:"board_images/batch/delete",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{const i=[],o=[{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}];return t==null||t.removed_image_names.forEach(s=>{var l;const a=(l=r.find(u=>u.image_name===s))==null?void 0:l.board_id;!a||i.includes(a)||(o.push({type:"Board",id:a}),o.push({type:"BoardImagesTotal",id:a}),o.push({type:"BoardAssetsTotal",id:a}))}),o},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,{removed_image_names:s}=o;s.forEach(a=>{n(he.util.updateQueryData("getImageDTO",a,m=>{m.board_id=void 0}));const l=t.find(m=>m.image_name===a);if(!l)return;const u=zo(l);n(he.util.updateQueryData("listImages",{board_id:l.board_id??"none",categories:u},m=>{Mn.removeOne(m,l.image_name)}));const 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0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!oye(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 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Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const y=this.options.returnedObjectHandler?this.options.returnedObjectHandler(h,f,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(d.res=y,d):y}if(o){const y=m==="[object Array]",S=y?[]:{},w=y?p:h;for(const x in f)if(Object.prototype.hasOwnProperty.call(f,x)){const E=`${w}${o}${x}`;S[x]=this.translate(E,{...n,joinArrays:!1,ns:a}),S[x]===E&&(S[x]=f[x])}f=S}}else if(v&&typeof _=="string"&&m==="[object Array]")f=f.join(_),f&&(f=this.extendTranslation(f,t,n,r));else{let y=!1,S=!1;const w=n.count!==void 0&&typeof n.count!="string",x=b1.hasDefaultValue(n),E=w?this.pluralResolver.getSuffix(u,n.count,n):"",A=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",T=n[`defaultValue${E}`]||n[`defaultValue${A}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(y=!0,f=T),this.isValidLookup(f)||(S=!0,f=s);const L=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&S?void 0:f,N=x&&T!==f&&this.options.updateMissing;if(S||y||N){if(this.logger.log(N?"updateKey":"missingKey",u,l,s,N?T:f),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let C=[];const P=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&P&&P[0])for(let B=0;B<P.length;B++)C.push(P[B]);else this.options.saveMissingTo==="all"?C=this.languageUtils.toResolveHierarchy(n.lng||this.language):C.push(n.lng||this.language);const D=(B,R,O)=>{const I=x&&O!==f?O:L;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,R,I,N,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,R,I,N,n),this.emit("missingKey",B,l,R,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?C.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(R=>{D([B],s+R,n[`defaultValue${R}`]||T)})}):D(C,s,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(S||y)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,y?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):s.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=xB.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(b=>{this.isValidLookup(r)||(a=b,!_8[`${m[0]}-${b}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(_8[`${m[0]}-${b}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(_=>{if(this.isValidLookup(r))return;s=_;const v=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(v,c,_,b,n);else{let y;f&&(y=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(v.push(c+y),n.ordinal&&y.indexOf(w)===0&&v.push(c+y.replace(w,this.options.pluralSeparator)),h&&v.push(c+S)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;v.push(x),f&&(v.push(x+y),n.ordinal&&y.indexOf(w)===0&&v.push(x+y.replace(w,this.options.pluralSeparator)),h&&v.push(x+S))}}let g;for(;g=v.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function pw(e){return e.charAt(0).toUpperCase()+e.slice(1)}class b8{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=na.create("languageUtils")}getScriptPartFromCode(t){if(t=_1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=_1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=pw(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=pw(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=pw(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let sye=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],aye={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const lye=["v1","v2","v3"],uye=["v4"],S8={zero:0,one:1,two:2,few:3,many:4,other:5};function cye(){const e={};return sye.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:aye[t.fc]}})}),e}class dye{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=na.create("pluralResolver"),(!this.options.compatibilityJSON||uye.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=cye()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(_1(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>S8[i]-S8[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!lye.includes(this.options.compatibilityJSON)}}function w8(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=tye(e,t,n);return!o&&i&&typeof n=="string"&&(o=v1(e,n,r),o===void 0&&(o=v1(t,n,r))),o}class fye{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=na.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:rye,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?md(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?md(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?md(n.nestingPrefix):n.nestingPrefixEscaped||md("$t("),this.nestingSuffix=n.nestingSuffix?md(n.nestingSuffix):n.nestingSuffixEscaped||md(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(p){return p.replace(/\$/g,"$$$$")}const c=p=>{if(p.indexOf(this.formatSeparator)<0){const v=w8(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(v,void 0,r,{...i,...n,interpolationkey:p}):v}const m=p.split(this.formatSeparator),b=m.shift().trim(),_=m.join(this.formatSeparator).trim();return this.format(w8(n,l,b,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:b})};this.resetRegExp();const d=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,f=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 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t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function yd(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(_1(i),o),t[s]=a),a(r)}}class pye{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=na.create("formatter"),this.options=t,this.formats={number:yd((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:yd((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:yd((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:yd((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:yd((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=yd(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=hye(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else 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0&&(l[d]=!0)))}),c||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{eye(l.loaded,[o],s),gye(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const c=l.loaded[u];c.length&&c.forEach(d=>{a[u][d]===void 0&&(a[u][d]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,c)=>{if(this.readingCalls--,this.waitingReads.length>0){const d=this.waitingReads.shift();this.read(d.lng,d.ns,d.fcName,d.tried,d.wait,d.callback)}if(u&&c&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,c)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(c=>a(null,c)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>a(null,d)).catch(a):a(null,c)}catch(c){a(c)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function x8(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function C8(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Hy(){}function yye(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Fg extends Ob{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=C8(t),this.services={},this.logger=na,this.modules={external:[]},yye(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=x8();this.options={...i,...this.options,...C8(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?na.init(o(this.modules.logger),this.options):na.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=pye);const d=new b8(this.options);this.store=new v8(this.options.resources,this.options);const f=this.services;f.logger=na,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new dye(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new fye(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new mye(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.languageDetector&&(f.languageDetector=o(this.modules.languageDetector),f.languageDetector.init&&f.languageDetector.init(f,this.options.detection,this.options)),this.modules.i18nFormat&&(f.i18nFormat=o(this.modules.i18nFormat),f.i18nFormat.init&&f.i18nFormat.init(this)),this.translator=new b1(this.services,this.options),this.translator.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.external.forEach(h=>{h.init&&h.init(this)})}if(this.format=this.options.interpolation.format,r||(r=Hy),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const c=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);c.length>0&&c[0]!=="dev"&&(this.options.lng=c[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(c=>{this[c]=function(){return t.store[c](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(c=>{this[c]=function(){return t.store[c](...arguments),t}});const l=Bh(),u=()=>{const c=(d,f)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&xB.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Bh();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([s,a].concat(c))}else 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Look at Konva change log for more information.";o.prototype[u]=function(){t.Util.error(c);var d=this.attrs[s];return d===void 0?a:d},e.Factory.addSetter(o,s,l,function(){t.Util.error(c)}),e.Factory.addOverloadedGetterSetter(o,s)},backCompat(o,s){t.Util.each(s,function(a,l){var u=o.prototype[l],c=r+t.Util._capitalize(a),d=i+t.Util._capitalize(a);function f(){u.apply(this,arguments),t.Util.error('"'+a+'" method is deprecated and will be removed soon. Use ""'+l+'" instead.')}o.prototype[a]=f,o.prototype[c]=f,o.prototype[d]=f})},afterSetFilter(){this._filterUpToDate=!1}}})(xt);var Os={},Xa={};Object.defineProperty(Xa,"__esModule",{value:!0});Xa.HitContext=Xa.SceneContext=Xa.Context=void 0;const HB=ir,Z0e=Et;function J0e(e){var t=[],n=e.length,r=HB.Util,i,o;for(i=0;i<n;i++)o=e[i],r._isNumber(o)?o=Math.round(o*1e3)/1e3:r._isString(o)||(o=o+""),t.push(o);return t}var N8=",",eve="(",tve=")",nve="([",rve="])",ive=";",ove="()",sve="=",D8=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],ave=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const lve=100;class Lb{constructor(t){this.canvas=t,Z0e.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",s,a,l,u;for(s=0;s<i;s++)a=r[s],l=a.method,l?(u=a.args,o+=l,t?o+=ove:HB.Util._isArray(u[0])?o+=nve+u.join(N8)+rve:(n&&(u=u.map(c=>typeof c=="number"?Math.floor(c):c)),o+=eve+u.join(N8)+tve)):(o+=a.property,t||(o+=sve+a.val)),o+=ive;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=lve&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=D8.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=J0e(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;i<n;i++)s(D8[i]);t.setAttr=function(){r.apply(t,arguments);var a=arguments[0],l=arguments[1];(a==="shadowOffsetX"||a==="shadowOffsetY"||a==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:a,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}Xa.Context=Lb;ave.forEach(function(e){Object.defineProperty(Lb.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class uve extends Lb{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),c=l.x*u,d=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(c),Math.abs(d))),this.setAttr("shadowOffsetX",a.x*c),this.setAttr("shadowOffsetY",a.y*d)}}Xa.SceneContext=uve;class cve extends Lb{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}Xa.HitContext=cve;Object.defineProperty(Os,"__esModule",{value:!0});Os.HitCanvas=Os.SceneCanvas=Os.Canvas=void 0;const x1=ir,qB=Xa,WB=Et,dve=xt,fve=He;var qy;function hve(){if(qy)return qy;var e=x1.Util.createCanvasElement(),t=e.getContext("2d");return qy=function(){var n=WB.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),x1.Util.releaseCanvas(e),qy}class $b{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||WB.Konva.pixelRatio||hve();this.pixelRatio=r,this._canvas=x1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return x1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Os.Canvas=$b;dve.Factory.addGetterSetter($b,"pixelRatio",void 0,(0,fve.getNumberValidator)());class pve extends $b{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new qB.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Os.SceneCanvas=pve;class gve extends $b{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new qB.HitContext(this),this.setSize(t.width,t.height)}}Os.HitCanvas=gve;var Fb={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Et,n=ir;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=a.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(Fb);Object.defineProperty(Kn,"__esModule",{value:!0});Kn.Node=void 0;const Pt=ir,$m=xt,Wy=Os,zu=Et,Uo=Fb,yr=He;var F0="absoluteOpacity",Ky="allEventListeners",Na="absoluteTransform",L8="absoluteScale",Uu="canvas",mve="Change",yve="children",vve="konva",QC="listening",$8="mouseenter",F8="mouseleave",B8="set",z8="Shape",B0=" ",U8="stage",El="transform",_ve="Stage",YC="visible",bve=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(B0);let Sve=1;class at{constructor(t){this._id=Sve++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===El||t===Na)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===El||t===Na,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(B0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Uu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===Na&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Uu)){const{scene:t,filter:n,hit:r}=this._cache.get(Uu);Pt.Util.releaseCanvas(t,n,r),this._cache.delete(Uu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){Pt.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Wy.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Wy.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Wy.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Uu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(F0),this._clearSelfAndDescendantCache(L8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(Uu,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Uu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){Pt.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(d){Pt.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Ky),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(B0),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(B0),i=r.length,o,s,a,l,u,c;if(this._cache&&this._cache.delete(Ky),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(s in this.eventListeners)this._off(s,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=Pt.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),Uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(Na),this._clearSelfAndDescendantCache(F0),this._clearSelfAndDescendantCache(L8),this._clearSelfAndDescendantCache(U8),this._clearSelfAndDescendantCache(YC),this._clearSelfAndDescendantCache(QC)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+Pt.Util._capitalize(t);return Pt.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==yve&&(r=B8+Pt.Util._capitalize(n),Pt.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(QC,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(YC,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;Uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!zu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==z8&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==_ve&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(El),this._clearSelfAndDescendantCache(Na)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new Pt.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(El);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(El),this._clearSelfAndDescendantCache(Na),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return Pt.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return Pt.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&Pt.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(F0,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=Pt.Util.isObject(i)&&!Pt.Util._isPlainObject(i)&&!Pt.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),Pt.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],Pt.Util.isValidSelector(o)||(Pt.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),Pt.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),Pt.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(U8,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(Na,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new Pt.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(Na)||new Pt.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(El,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(El)||new Pt.Transform;r.reset();var i=this.x(),o=this.y(),s=zu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||c!==0)&&r.skew(u,c),(a!==1||l!==1)&&r.scale(a,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=Pt.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(vve)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new Wy.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,Pt.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():zu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+mve,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[B8+Pt.Util._capitalize(t)];return Pt.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(zu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!Pt.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===z8&&(n.target=this);var i=(t===$8||t===F8)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===$8||t===F8)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Ky))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(Ky,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;Uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){Uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=Uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:Pt.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=Uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),Uo.DD._endDragBefore(t),Uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=Uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||zu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;Uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=Uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&Uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return Pt.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return Pt.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=at.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),zu.Konva[r]||(Pt.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=zu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(at._createNode(i[a]));return o}}Kn.Node=at;at.prototype.nodeType="Node";at.prototype._attrsAffectingSize=[];at.prototype.eventListeners={};at.prototype.on.call(at.prototype,bve,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(El),this._clearSelfAndDescendantCache(Na)});at.prototype.on.call(at.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(YC)});at.prototype.on.call(at.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(QC)});at.prototype.on.call(at.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(F0)});const Sn=$m.Factory.addGetterSetter;Sn(at,"zIndex");Sn(at,"absolutePosition");Sn(at,"position");Sn(at,"x",0,(0,yr.getNumberValidator)());Sn(at,"y",0,(0,yr.getNumberValidator)());Sn(at,"globalCompositeOperation","source-over",(0,yr.getStringValidator)());Sn(at,"opacity",1,(0,yr.getNumberValidator)());Sn(at,"name","",(0,yr.getStringValidator)());Sn(at,"id","",(0,yr.getStringValidator)());Sn(at,"rotation",0,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"scale",["x","y"]);Sn(at,"scaleX",1,(0,yr.getNumberValidator)());Sn(at,"scaleY",1,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"skew",["x","y"]);Sn(at,"skewX",0,(0,yr.getNumberValidator)());Sn(at,"skewY",0,(0,yr.getNumberValidator)());$m.Factory.addComponentsGetterSetter(at,"offset",["x","y"]);Sn(at,"offsetX",0,(0,yr.getNumberValidator)());Sn(at,"offsetY",0,(0,yr.getNumberValidator)());Sn(at,"dragDistance",null,(0,yr.getNumberValidator)());Sn(at,"width",0,(0,yr.getNumberValidator)());Sn(at,"height",0,(0,yr.getNumberValidator)());Sn(at,"listening",!0,(0,yr.getBooleanValidator)());Sn(at,"preventDefault",!0,(0,yr.getBooleanValidator)());Sn(at,"filters",null,function(e){return this._filterUpToDate=!1,e});Sn(at,"visible",!0,(0,yr.getBooleanValidator)());Sn(at,"transformsEnabled","all",(0,yr.getStringValidator)());Sn(at,"size");Sn(at,"dragBoundFunc");Sn(at,"draggable",!1,(0,yr.getBooleanValidator)());$m.Factory.backCompat(at,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var qc={};Object.defineProperty(qc,"__esModule",{value:!0});qc.Container=void 0;const lh=xt,vw=Kn,Bb=He;class Wc extends vw.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=vw.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=vw.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(b){b[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}qc.Container=Wc;lh.Factory.addComponentsGetterSetter(Wc,"clip",["x","y","width","height"]);lh.Factory.addGetterSetter(Wc,"clipX",void 0,(0,Bb.getNumberValidator)());lh.Factory.addGetterSetter(Wc,"clipY",void 0,(0,Bb.getNumberValidator)());lh.Factory.addGetterSetter(Wc,"clipWidth",void 0,(0,Bb.getNumberValidator)());lh.Factory.addGetterSetter(Wc,"clipHeight",void 0,(0,Bb.getNumberValidator)());lh.Factory.addGetterSetter(Wc,"clipFunc");var KB={},To={};Object.defineProperty(To,"__esModule",{value:!0});To.releaseCapture=To.setPointerCapture=To.hasPointerCapture=To.createEvent=To.getCapturedShape=void 0;const wve=Et,zg=new Map,XB=wve.Konva._global.PointerEvent!==void 0;function xve(e){return zg.get(e)}To.getCapturedShape=xve;function yT(e){return{evt:e,pointerId:e.pointerId}}To.createEvent=yT;function Cve(e,t){return zg.get(e)===t}To.hasPointerCapture=Cve;function Eve(e,t){QB(e),t.getStage()&&(zg.set(e,t),XB&&t._fire("gotpointercapture",yT(new PointerEvent("gotpointercapture"))))}To.setPointerCapture=Eve;function QB(e,t){const n=zg.get(e);if(!n)return;const r=n.getStage();r&&r.content,zg.delete(e),XB&&n._fire("lostpointercapture",yT(new PointerEvent("lostpointercapture")))}To.releaseCapture=QB;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=ir,n=xt,r=qc,i=Et,o=Os,s=Fb,a=Et,l=To;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",b="mousemove",_="mousedown",v="mouseup",g="pointermove",y="pointerdown",S="pointerup",w="pointercancel",x="lostpointercapture",E="pointerout",A="pointerleave",T="pointerover",k="pointerenter",L="contextmenu",N="touchstart",C="touchend",P="touchmove",D="touchcancel",B="wheel",R=5,O=[[m,"_pointerenter"],[_,"_pointerdown"],[b,"_pointermove"],[v,"_pointerup"],[h,"_pointerleave"],[N,"_pointerdown"],[P,"_pointermove"],[C,"_pointerup"],[D,"_pointercancel"],[p,"_pointerover"],[B,"_wheel"],[L,"_contextmenu"],[y,"_pointerdown"],[g,"_pointermove"],[S,"_pointerup"],[w,"_pointercancel"],[x,"_lostpointercapture"]];const I={mouse:{[E]:f,[A]:h,[T]:p,[k]:m,[g]:b,[y]:_,[S]:v,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[E]:"touchout",[A]:"touchleave",[T]:"touchover",[k]:"touchenter",[g]:P,[y]:N,[S]:C,[w]:D,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[E]:E,[A]:A,[T]:T,[k]:k,[g]:g,[y]:y,[S]:S,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},F=Q=>Q.indexOf("pointer")>=0?"pointer":Q.indexOf("touch")>=0?"touch":"mouse",U=Q=>{const j=F(Q);if(j==="pointer")return i.Konva.pointerEventsEnabled&&I.pointer;if(j==="touch")return I.touch;if(j==="mouse")return I.mouse};function V(Q={}){return(Q.clipFunc||Q.clipWidth||Q.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Q}const H="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class Y extends r.Container{constructor(j){super(V(j)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(j){const K=j.getType()==="Layer",ee=j.getType()==="FastLayer";K||ee||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var K=j.slice(1);j=document.getElementsByClassName(K)[0]}else{var ee;j.charAt(0)!=="#"?ee=j:ee=j.slice(1),j=document.getElementById(ee)}if(!j)throw"Can not find container in document with id "+ee}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,K=j.length,ee;for(ee=0;ee<K;ee++)j[ee].clear();return this}clone(j){return j||(j={}),j.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,j)}destroy(){super.destroy();var j=this.content;j&&t.Util._isInDocument(j)&&this.container().removeChild(j);var K=e.stages.indexOf(this);return K>-1&&e.stages.splice(K,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(H),null)}_getPointerById(j){return this._pointerPositions.find(K=>K.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var K=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),ee=K.getContext()._context,ie=this.children;return(j.x||j.y)&&ee.translate(-1*j.x,-1*j.y),ie.forEach(function(ge){if(ge.isVisible()){var ae=ge._toKonvaCanvas(j);ee.drawImage(ae._canvas,j.x,j.y,ae.getWidth()/ae.getPixelRatio(),ae.getHeight()/ae.getPixelRatio())}}),K}getIntersection(j){if(!j)return null;var K=this.children,ee=K.length,ie=ee-1,ge;for(ge=ie;ge>=0;ge--){const ae=K[ge].getIntersection(j);if(ae)return ae}return null}_resizeDOM(){var j=this.width(),K=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=K+d),this.bufferCanvas.setSize(j,K),this.bufferHitCanvas.setSize(j,K),this.children.forEach(ee=>{ee.setSize({width:j,height:K}),ee.draw()})}add(j,...K){if(arguments.length>1){for(var ee=0;ee<arguments.length;ee++)this.add(arguments[ee]);return this}super.add(j);var ie=this.children.length;return ie>R&&t.Util.warn("The stage has "+ie+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&O.forEach(([j,K])=>{this.content.addEventListener(j,ee=>{this[K](ee)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let K=this[j+"targetShape"];return K&&!K.getStage()&&(K=null),K}_pointerleave(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=this._getTargetShape(ee),ge=!s.DD.isDragging||i.Konva.hitOnDragEnabled;ie&&ge?(ie._fireAndBubble(K.pointerout,{evt:j}),ie._fireAndBubble(K.pointerleave,{evt:j}),this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this[ee+"targetShape"]=null):ge&&(this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(K.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=!1;this._changedPointerPositions.forEach(ge=>{var ae=this.getIntersection(ge);if(s.DD.justDragged=!1,i.Konva["_"+ee+"ListenClick"]=!0,!(ae&&ae.isListening()))return;i.Konva.capturePointerEventsEnabled&&ae.setPointerCapture(ge.id),this[ee+"ClickStartShape"]=ae,ae._fireAndBubble(K.pointerdown,{evt:j,pointerId:ge.id}),ie=!0;const et=j.type.indexOf("touch")>=0;ae.preventDefault()&&j.cancelable&&et&&j.preventDefault()}),ie||this._fire(K.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const K=U(j.type),ee=F(j.type);if(!K)return;s.DD.isDragging&&s.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var ie=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!ie)return;var ge={};let ae=!1;var dt=this._getTargetShape(ee);this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et),lt=et.id,Te={evt:j,pointerId:lt};var Gt=dt!==Ne;if(Gt&&dt&&(dt._fireAndBubble(K.pointerout,Object.assign({},Te),Ne),dt._fireAndBubble(K.pointerleave,Object.assign({},Te),Ne)),Ne){if(ge[Ne._id])return;ge[Ne._id]=!0}Ne&&Ne.isListening()?(ae=!0,Gt&&(Ne._fireAndBubble(K.pointerover,Object.assign({},Te),dt),Ne._fireAndBubble(K.pointerenter,Object.assign({},Te),dt),this[ee+"targetShape"]=Ne),Ne._fireAndBubble(K.pointermove,Object.assign({},Te))):dt&&(this._fire(K.pointerover,{evt:j,target:this,currentTarget:this,pointerId:lt}),this[ee+"targetShape"]=null)}),ae||this._fire(K.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const K=U(j.type),ee=F(j.type);if(!K)return;this.setPointersPositions(j);const ie=this[ee+"ClickStartShape"],ge=this[ee+"ClickEndShape"];var ae={};let dt=!1;this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et);if(Ne){if(Ne.releaseCapture(et.id),ae[Ne._id])return;ae[Ne._id]=!0}const lt=et.id,Te={evt:j,pointerId:lt};let Gt=!1;i.Konva["_"+ee+"InDblClickWindow"]?(Gt=!0,clearTimeout(this[ee+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+ee+"InDblClickWindow"]=!0,clearTimeout(this[ee+"DblTimeout"])),this[ee+"DblTimeout"]=setTimeout(function(){i.Konva["_"+ee+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ne&&Ne.isListening()?(dt=!0,this[ee+"ClickEndShape"]=Ne,Ne._fireAndBubble(K.pointerup,Object.assign({},Te)),i.Konva["_"+ee+"ListenClick"]&&ie&&ie===Ne&&(Ne._fireAndBubble(K.pointerclick,Object.assign({},Te)),Gt&&ge&&ge===Ne&&Ne._fireAndBubble(K.pointerdblclick,Object.assign({},Te)))):(this[ee+"ClickEndShape"]=null,i.Konva["_"+ee+"ListenClick"]&&this._fire(K.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:lt}),Gt&&this._fire(K.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:lt}))}),dt||this._fire(K.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+ee+"ListenClick"]=!1,j.cancelable&&ee!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(B,{evt:j}):this._fire(B,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const K=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());K&&K._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var K=this._getContentPosition(),ee=null,ie=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,ge=>{this._pointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,ge=>{this._changedPointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})})):(ee=(j.clientX-K.left)/K.scaleX,ie=(j.clientY-K.top)/K.scaleY,this.pointerPos={x:ee,y:ie},this._pointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var j=this.container();if(!j)throw"Stage has no container. A container is required.";j.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),j.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(j){j.batchDraw()}),this}}e.Stage=Y,Y.prototype.nodeType=u,(0,a._registerNode)(Y),n.Factory.addGetterSetter(Y,"container")})(KB);var Fm={},zr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Et,n=ir,r=xt,i=Kn,o=He,s=Et,a=To;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function v(A){A.stroke()}function g(){this._clearCache(l)}function y(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class E extends i.Node{constructor(T){super(T);let k;for(;k=n.Util.getRandomColor(),!(k&&!(k in e.shapes)););this.colorKey=k,e.shapes[k]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const k=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(k&&k.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const N=L.getMatrix(),C=typeof DOMMatrix>"u"?{a:N[0],b:N[1],c:N[2],d:N[3],e:N[4],f:N[5]}:new DOMMatrix(N);k.setTransform(C)}return k}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var k=p(),L=this.fillLinearGradientStartPoint(),N=this.fillLinearGradientEndPoint(),C=k.createLinearGradient(L.x,L.y,N.x,N.y),P=0;P<T.length;P+=2)C.addColorStop(T[P],T[P+1]);return C}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var T=this.fillRadialGradientColorStops();if(T){for(var k=p(),L=this.fillRadialGradientStartPoint(),N=this.fillRadialGradientEndPoint(),C=k.createRadialGradient(L.x,L.y,this.fillRadialGradientStartRadius(),N.x,N.y,this.fillRadialGradientEndRadius()),P=0;P<T.length;P+=2)C.addColorStop(T[P],T[P+1]);return C}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var T=n.Util.colorToRGBA(this.shadowColor());if(T)return"rgba("+T.r+","+T.g+","+T.b+","+T.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var k=this.getStage(),L=k.bufferHitCanvas,N;return L.getContext().clear(),this.drawHit(L,null,!0),N=L.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,N[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var k;if(!this.getStage()||!((k=this.attrs.perfectDrawEnabled)!==null&&k!==void 0?k:!0))return!1;const N=T||this.hasFill(),C=this.hasStroke(),P=this.getAbsoluteOpacity()!==1;if(N&&C&&P)return!0;const D=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(N&&C&&D&&B)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const k=T.skipTransform,L=T.relativeTo,N=this.getSelfRect(),P=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=N.width+P,B=N.height+P,R=!T.skipShadow&&this.hasShadow(),O=R?this.shadowOffsetX():0,I=R?this.shadowOffsetY():0,F=D+Math.abs(O),U=B+Math.abs(I),V=R&&this.shadowBlur()||0,H=F+V*2,Y=U+V*2,Q={width:H,height:Y,x:-(P/2+V)+Math.min(O,0)+N.x,y:-(P/2+V)+Math.min(I,0)+N.y};return k?Q:this._transformedRect(Q,L)}drawScene(T,k){var L=this.getLayer(),N=T||L.getCanvas(),C=N.getContext(),P=this._getCanvasCache(),D=this.getSceneFunc(),B=this.hasShadow(),R,O,I,F=N.isCache,U=k===this;if(!this.isVisible()&&!U)return this;if(P){C.save();var V=this.getAbsoluteTransform(k).getMatrix();return C.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(C),C.restore(),this}if(!D)return this;if(C.save(),this._useBufferCanvas()&&!F){R=this.getStage(),O=R.bufferCanvas,I=O.getContext(),I.clear(),I.save(),I._applyLineJoin(this);var H=this.getAbsoluteTransform(k).getMatrix();I.transform(H[0],H[1],H[2],H[3],H[4],H[5]),D.call(this,I,this),I.restore();var Y=O.pixelRatio;B&&C._applyShadow(this),C._applyOpacity(this),C._applyGlobalCompositeOperation(this),C.drawImage(O._canvas,0,0,O.width/Y,O.height/Y)}else{if(C._applyLineJoin(this),!U){var H=this.getAbsoluteTransform(k).getMatrix();C.transform(H[0],H[1],H[2],H[3],H[4],H[5]),C._applyOpacity(this),C._applyGlobalCompositeOperation(this)}B&&C._applyShadow(this),D.call(this,C,this)}return C.restore(),this}drawHit(T,k,L=!1){if(!this.shouldDrawHit(k,L))return this;var N=this.getLayer(),C=T||N.hitCanvas,P=C&&C.getContext(),D=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),R=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),R){P.save();var O=this.getAbsoluteTransform(k).getMatrix();return P.transform(O[0],O[1],O[2],O[3],O[4],O[5]),this._drawCachedHitCanvas(P),P.restore(),this}if(!D)return this;if(P.save(),P._applyLineJoin(this),!(this===k)){var F=this.getAbsoluteTransform(k).getMatrix();P.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return D.call(this,P,this),P.restore(),this}drawHitFromCache(T=0){var k=this._getCanvasCache(),L=this._getCachedSceneCanvas(),N=k.hit,C=N.getContext(),P=N.getWidth(),D=N.getHeight(),B,R,O,I,F,U;C.clear(),C.drawImage(L._canvas,0,0,P,D);try{for(B=C.getImageData(0,0,P,D),R=B.data,O=R.length,I=n.Util._hexToRgb(this.colorKey),F=0;F<O;F+=4)U=R[F+3],U>T?(R[F]=I.r,R[F+1]=I.g,R[F+2]=I.b,R[F+3]=255):R[F+3]=0;C.putImageData(B,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=E,E.prototype._fillFunc=m,E.prototype._strokeFunc=b,E.prototype._fillFuncHit=_,E.prototype._strokeFuncHit=v,E.prototype._centroid=!1,E.prototype.nodeType="Shape",(0,s._registerNode)(E),E.prototype.eventListeners={},E.prototype.on.call(E.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),E.prototype.on.call(E.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(E,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(E,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(E,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(E,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"lineJoin"),r.Factory.addGetterSetter(E,"lineCap"),r.Factory.addGetterSetter(E,"sceneFunc"),r.Factory.addGetterSetter(E,"hitFunc"),r.Factory.addGetterSetter(E,"dash"),r.Factory.addGetterSetter(E,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(E,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(E,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternImage"),r.Factory.addGetterSetter(E,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(E,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(E,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(E,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(E,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(E,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(E,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(E,"fillEnabled",!0),r.Factory.addGetterSetter(E,"strokeEnabled",!0),r.Factory.addGetterSetter(E,"shadowEnabled",!0),r.Factory.addGetterSetter(E,"dashEnabled",!0),r.Factory.addGetterSetter(E,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(E,"fillPriority","color"),r.Factory.addComponentsGetterSetter(E,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(E,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(E,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(E,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(E,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(E,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(E,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(E,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(E,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(E,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(E,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(E,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(E,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(E,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(E,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(E,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(E,"fillPatternRotation",0),r.Factory.addGetterSetter(E,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(E,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(zr);Object.defineProperty(Fm,"__esModule",{value:!0});Fm.Layer=void 0;const Ra=ir,_w=qc,vd=Kn,vT=xt,j8=Os,Tve=He,Ave=zr,kve=Et;var Pve="#",Rve="beforeDraw",Ove="draw",YB=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Ive=YB.length;class uh extends _w.Container{constructor(t){super(t),this.canvas=new j8.SceneCanvas,this.hitCanvas=new j8.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){vd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=vd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(vd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(vd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return vd.Node.prototype.remove.call(this),t&&t.parentNode&&Ra.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Ra.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),vd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){Ra.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){Ra.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,Ra.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<Ive;i++){const o=YB[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=Ra.Util._rgbToHex(r[0],r[1],r[2]),s=Ave.shapes[Pve+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Rve,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),_w.Container.prototype.drawScene.call(this,i,n),this._fire(Ove,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),_w.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return Ra.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Fm.Layer=uh;uh.prototype.nodeType="Layer";(0,kve._registerNode)(uh);vT.Factory.addGetterSetter(uh,"imageSmoothingEnabled",!0);vT.Factory.addGetterSetter(uh,"clearBeforeDraw",!0);vT.Factory.addGetterSetter(uh,"hitGraphEnabled",!0,(0,Tve.getBooleanValidator)());var zb={};Object.defineProperty(zb,"__esModule",{value:!0});zb.FastLayer=void 0;const Mve=ir,Nve=Fm,Dve=Et;class _T extends Nve.Layer{constructor(t){super(t),this.listening(!1),Mve.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}zb.FastLayer=_T;_T.prototype.nodeType="FastLayer";(0,Dve._registerNode)(_T);var ch={};Object.defineProperty(ch,"__esModule",{value:!0});ch.Group=void 0;const Lve=ir,$ve=qc,Fve=Et;class bT extends $ve.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Lve.Util.throw("You may only add groups and shapes to groups.")}}ch.Group=bT;bT.prototype.nodeType="Group";(0,Fve._registerNode)(bT);var dh={};Object.defineProperty(dh,"__esModule",{value:!0});dh.Animation=void 0;const bw=Et,V8=ir;var Sw=function(){return bw.glob.performance&&bw.glob.performance.now?function(){return bw.glob.performance.now()}:function(){return new Date().getTime()}}();class Js{constructor(t,n){this.id=Js.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Sw(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=Js,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Sw(),Js._addAnimation(this),this}stop(){return Js._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,c,d;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Sw()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=Js;t.animations.length?(t._runFrames(),V8.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,V8.Util.requestAnimFrame(this._animationLoop))}}dh.Animation=Js;Js.animations=[];Js.animIdCounter=0;Js.animRunning=!1;var ZB={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=ir,n=dh,r=Kn,i=Et;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,b,_,v,g,y){this.prop=p,this.propFunc=m,this.begin=_,this._pos=_,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=y,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=b,this._change=v-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,b=p.node,_=b._id,v,g=p.easing||e.Easings.Linear,y=!!p.yoyo,S;typeof p.duration>"u"?v=.3:p.duration===0?v=.001:v=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(x){m._tweenFunc(x)},g,0,1,v*1e3,y),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,v,g,y,S,w,x,E,A;if(y=f.tweens[_][p],y&&delete f.attrs[_][y][p],v=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,v.length),p==="points"&&m.length!==v.length&&(m.length>v.length?(E=v,v=t.Util._prepareArrayForTween(v,m,b.closed())):(x=m,m=t.Util._prepareArrayForTween(m,v,b.closed()))),p.indexOf("fill")===0)for(S=0;S<w;S++)if(S%2===0)g.push(m[S]-v[S]);else{var T=t.Util.colorToRGBA(v[S]);A=t.Util.colorToRGBA(m[S]),v[S]=T,g.push({r:A.r-T.r,g:A.g-T.g,b:A.b-T.b,a:A.a-T.a})}else for(S=0;S<w;S++)g.push(m[S]-v[S]);else c.indexOf(p)!==-1?(v=t.Util.colorToRGBA(v),A=t.Util.colorToRGBA(m),g={r:A.r-v.r,g:A.g-v.g,b:A.b-v.b,a:A.a-v.a}):g=m-v;f.attrs[_][this._id][p]={start:v,diff:g,end:m,trueEnd:x,trueStart:E},f.tweens[_][p]=this._id}_tweenFunc(p){var m=this.node,b=f.attrs[m._id][this._id],_,v,g,y,S,w,x,E;for(_ in b){if(v=b[_],g=v.start,y=v.diff,E=v.end,t.Util._isArray(g))if(S=[],x=Math.max(g.length,E.length),_.indexOf("fill")===0)for(w=0;w<x;w++)w%2===0?S.push((g[w]||0)+y[w]*p):S.push("rgba("+Math.round(g[w].r+y[w].r*p)+","+Math.round(g[w].g+y[w].g*p)+","+Math.round(g[w].b+y[w].b*p)+","+(g[w].a+y[w].a*p)+")");else for(w=0;w<x;w++)S.push((g[w]||0)+y[w]*p);else c.indexOf(_)!==-1?S="rgba("+Math.round(g.r+y.r*p)+","+Math.round(g.g+y.g*p)+","+Math.round(g.b+y.b*p)+","+(g.a+y.a*p)+")":S=g+y*p;m.setAttr(_,S)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b)===1?p+m:(v||(v=b*.3),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),-(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v))+p)},ElasticEaseOut(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b)===1?p+m:(v||(v=b*.3),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),_*Math.pow(2,-10*h)*Math.sin((h*b-g)*(2*Math.PI)/v)+m+p)},ElasticEaseInOut(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b/2)===2?p+m:(v||(v=b*(.3*1.5)),!_||_<Math.abs(m)?(_=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/_),h<1?-.5*(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v))+p:_*Math.pow(2,-10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/v)*.5+m+p)},BounceEaseOut(h,p,m,b){return(h/=b)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,b){return m-e.Easings.BounceEaseOut(b-h,0,m,b)+p},BounceEaseInOut(h,p,m,b){return h<b/2?e.Easings.BounceEaseIn(h*2,0,m,b)*.5+p:e.Easings.BounceEaseOut(h*2-b,0,m,b)*.5+m*.5+p},EaseIn(h,p,m,b){return m*(h/=b)*h+p},EaseOut(h,p,m,b){return-m*(h/=b)*(h-2)+p},EaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,b){return m*(h/=b)*h*h*h*h+p},StrongEaseOut(h,p,m,b){return m*((h=h/b-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,b){return m*h/b+p}}})(ZB);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=Et,n=ir,r=Kn,i=qc,o=KB,s=Fm,a=zb,l=ch,u=Fb,c=zr,d=dh,f=ZB,h=Xa,p=Os;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(GB);var Ub={};Object.defineProperty(Ub,"__esModule",{value:!0});Ub.Arc=void 0;const jb=xt,Bve=zr,G8=Et,Vb=He,zve=Et;class gl extends Bve.Shape{_sceneFunc(t){var n=G8.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=G8.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),s=1,a=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}Ub.Arc=gl;gl.prototype._centroid=!0;gl.prototype.className="Arc";gl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,zve._registerNode)(gl);jb.Factory.addGetterSetter(gl,"innerRadius",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(gl,"outerRadius",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(gl,"angle",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(gl,"clockwise",!1,(0,Vb.getBooleanValidator)());var Gb={},Bm={};Object.defineProperty(Bm,"__esModule",{value:!0});Bm.Line=void 0;const Hb=xt,Uve=zr,JB=He,jve=Et;function ZC(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function H8(e,t){var n=e.length,r=[],i,o;for(i=2;i<n-2;i+=2)o=ZC(e[i-2],e[i-1],e[i],e[i+1],e[i+2],e[i+3],t),!isNaN(o[0])&&(r.push(o[0]),r.push(o[1]),r.push(e[i]),r.push(e[i+1]),r.push(o[2]),r.push(o[3]));return r}class Pu extends Uve.Shape{constructor(t){super(t),this.on("pointsChange.konva tensionChange.konva closedChange.konva bezierChange.konva",function(){this._clearCache("tensionPoints")})}_sceneFunc(t){var n=this.points(),r=n.length,i=this.tension(),o=this.closed(),s=this.bezier(),a,l,u;if(r){if(t.beginPath(),t.moveTo(n[0],n[1]),i!==0&&r>4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u<l-2;)t.bezierCurveTo(a[u++],a[u++],a[u++],a[u++],a[u++],a[u++]);o||t.quadraticCurveTo(a[l-2],a[l-1],n[r-2],n[r-1])}else if(s)for(u=2;u<r;)t.bezierCurveTo(n[u++],n[u++],n[u++],n[u++],n[u++],n[u++]);else for(u=2;u<r;u+=2)t.lineTo(n[u],n[u+1]);o?(t.closePath(),t.fillStrokeShape(this)):t.strokeShape(this)}}getTensionPoints(){return this._getCache("tensionPoints",this._getTensionPoints)}_getTensionPoints(){return this.closed()?this._getTensionPointsClosed():H8(this.points(),this.tension())}_getTensionPointsClosed(){var t=this.points(),n=t.length,r=this.tension(),i=ZC(t[n-2],t[n-1],t[0],t[1],t[2],t[3],r),o=ZC(t[n-4],t[n-3],t[n-2],t[n-1],t[0],t[1],r),s=H8(t,r),a=[i[2],i[3]].concat(s).concat([o[0],o[1],t[n-2],t[n-1],o[2],o[3],i[0],i[1],t[0],t[1]]);return a}getWidth(){return this.getSelfRect().width}getHeight(){return this.getSelfRect().height}getSelfRect(){var t=this.points();if(t.length<4)return{x:t[0]||0,y:t[1]||0,width:0,height:0};this.tension()!==0?t=[t[0],t[1],...this._getTensionPoints(),t[t.length-2],t[t.length-1]]:t=this.points();for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);return{x:n,y:i,width:r-n,height:o-i}}}Bm.Line=Pu;Pu.prototype.className="Line";Pu.prototype._attrsAffectingSize=["points","bezier","tension"];(0,jve._registerNode)(Pu);Hb.Factory.addGetterSetter(Pu,"closed",!1);Hb.Factory.addGetterSetter(Pu,"bezier",!1);Hb.Factory.addGetterSetter(Pu,"tension",0,(0,JB.getNumberValidator)());Hb.Factory.addGetterSetter(Pu,"points",[],(0,JB.getNumberArrayValidator)());var 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n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Mr.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Mr.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Mr.getPointOnCubicBezier((0,_d.t2length)(t,Mr.getPathLength(n),m=>(0,_d.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Mr.getPointOnQuadraticBezier((0,_d.t2length)(t,Mr.getPathLength(n),m=>(0,_d.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,Mr.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:s,y:a+c};else if((a-r)/(s-n+1e-8)===l)d={x:s+u,y:a+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(s-n)*(i-n)+(a-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var b=this.getLineLength(s,a,f,h),_=Math.sqrt(t*t-b*b);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function c(b){return b*b*b}function d(b){return 3*b*b*(1-b)}function f(b){return 3*b*(1-b)*(1-b)}function h(b){return(1-b)*(1-b)*(1-b)}var p=l*c(t)+s*d(t)+i*f(t)+n*h(t),m=u*c(t)+a*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=s*l(t)+i*u(t)+n*c(t),f=a*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),a.length=0;d=c.exec(f);)a.push(d[0]);for(var p=[],m=0,b=a.length;m<b;m++){if(a[m]==="00"){p.push(0,0);continue}var _=parseFloat(a[m]);isNaN(_)?p.push(0):p.push(_)}for(;p.length>0&&!isNaN(p[0]);){var v=null,g=[],y=l,S=u,w,x,E,A,T,k,L,N,C,P;switch(h){case"l":l+=p.shift(),u+=p.shift(),v="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var D=p.shift(),B=p.shift();if(l+=D,u+=B,v="M",s.length>2&&s[s.length-1].command==="z"){for(var R=s.length-2;R>=0;R--)if(s[R].command==="M"){l=s[R].points[0]+D,u=s[R].points[1]+B;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),v="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),v="L",g.push(l,u);break;case"H":l=p.shift(),v="L",g.push(l,u);break;case"v":u+=p.shift(),v="L",g.push(l,u);break;case"V":u=p.shift(),v="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="C",g.push(l,u);break;case"S":x=l,E=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),E=u+(u-w.points[3])),g.push(x,E,p.shift(),p.shift()),l=p.shift(),u=p.shift(),v="C",g.push(l,u);break;case"s":x=l,E=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),E=u+(u-w.points[3])),g.push(x,E,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="Q",g.push(l,u);break;case"T":x=l,E=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),E=u+(u-w.points[1])),l=p.shift(),u=p.shift(),v="Q",g.push(x,E,l,u);break;case"t":x=l,E=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),E=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),v="Q",g.push(x,E,l,u);break;case"A":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),C=l,P=u,l=p.shift(),u=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,P,l,u,L,N,A,T,k);break;case"a":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),C=l,P=u,l+=p.shift(),u+=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,P,l,u,L,N,A,T,k);break}s.push({command:v||h,points:g,start:{x:y,y:S},pathLength:this.calcLength(y,S,v||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Mr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,_d.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,_d.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l<f;l+=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(a*a)+f*f/(l*l);h>1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,v=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},y=function(T,k){return(T[0]*k[0]+T[1]*k[1])/(g(T)*g(k))},S=function(T,k){return(T[0]*k[1]<T[1]*k[0]?-1:1)*Math.acos(y(T,k))},w=S([1,0],[(d-m)/a,(f-b)/l]),x=[(d-m)/a,(f-b)/l],E=[(-1*d-m)/a,(-1*f-b)/l],A=S(x,E);return y(x,E)<=-1&&(A=Math.PI),y(x,E)>=1&&(A=0),s===0&&A>0&&(A=A-2*Math.PI),s===1&&A<0&&(A=A+2*Math.PI),[_,v,a,l,w,A,c,s]}}fh.Path=Mr;Mr.prototype.className="Path";Mr.prototype._attrsAffectingSize=["data"];(0,Hve._registerNode)(Mr);Vve.Factory.addGetterSetter(Mr,"data");Object.defineProperty(Gb,"__esModule",{value:!0});Gb.Arrow=void 0;const qb=xt,qve=Bm,tz=He,Wve=Et,q8=fh;class Kc extends qve.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=q8.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=q8.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}Gb.Arrow=Kc;Kc.prototype.className="Arrow";(0,Wve._registerNode)(Kc);qb.Factory.addGetterSetter(Kc,"pointerLength",10,(0,tz.getNumberValidator)());qb.Factory.addGetterSetter(Kc,"pointerWidth",10,(0,tz.getNumberValidator)());qb.Factory.addGetterSetter(Kc,"pointerAtBeginning",!1);qb.Factory.addGetterSetter(Kc,"pointerAtEnding",!0);var Wb={};Object.defineProperty(Wb,"__esModule",{value:!0});Wb.Circle=void 0;const Kve=xt,Xve=zr,Qve=He,Yve=Et;let hh=class extends Xve.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};Wb.Circle=hh;hh.prototype._centroid=!0;hh.prototype.className="Circle";hh.prototype._attrsAffectingSize=["radius"];(0,Yve._registerNode)(hh);Kve.Factory.addGetterSetter(hh,"radius",0,(0,Qve.getNumberValidator)());var Kb={};Object.defineProperty(Kb,"__esModule",{value:!0});Kb.Ellipse=void 0;const ST=xt,Zve=zr,nz=He,Jve=Et;class Ru extends Zve.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}Kb.Ellipse=Ru;Ru.prototype.className="Ellipse";Ru.prototype._centroid=!0;Ru.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,Jve._registerNode)(Ru);ST.Factory.addComponentsGetterSetter(Ru,"radius",["x","y"]);ST.Factory.addGetterSetter(Ru,"radiusX",0,(0,nz.getNumberValidator)());ST.Factory.addGetterSetter(Ru,"radiusY",0,(0,nz.getNumberValidator)());var Xb={};Object.defineProperty(Xb,"__esModule",{value:!0});Xb.Image=void 0;const ww=ir,Xc=xt,e1e=zr,t1e=Et,zm=He;let wa=class rz extends e1e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?ww.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?ww.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=ww.Util.createImageElement();i.onload=function(){var o=new rz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};Xb.Image=wa;wa.prototype.className="Image";(0,t1e._registerNode)(wa);Xc.Factory.addGetterSetter(wa,"cornerRadius",0,(0,zm.getNumberOrArrayOfNumbersValidator)(4));Xc.Factory.addGetterSetter(wa,"image");Xc.Factory.addComponentsGetterSetter(wa,"crop",["x","y","width","height"]);Xc.Factory.addGetterSetter(wa,"cropX",0,(0,zm.getNumberValidator)());Xc.Factory.addGetterSetter(wa,"cropY",0,(0,zm.getNumberValidator)());Xc.Factory.addGetterSetter(wa,"cropWidth",0,(0,zm.getNumberValidator)());Xc.Factory.addGetterSetter(wa,"cropHeight",0,(0,zm.getNumberValidator)());var Gf={};Object.defineProperty(Gf,"__esModule",{value:!0});Gf.Tag=Gf.Label=void 0;const Qb=xt,n1e=zr,r1e=ch,wT=He,iz=Et;var oz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],i1e="Change.konva",o1e="none",JC="up",e3="right",t3="down",n3="left",s1e=oz.length;class xT extends r1e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<s1e;r++)t.on(oz[r]+i1e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case JC:a=r/2,l=-1*u;break;case e3:a=r+s,l=i/2;break;case t3:a=r/2,l=i+u;break;case n3:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Gf.Label=xT;xT.prototype.className="Label";(0,iz._registerNode)(xT);class Qc extends n1e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof a=="number"?l=u=c=d=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),d=Math.min(a[2]||0,n/2,r/2),c=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===JC&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===e3&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===t3&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===n3&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===JC?(n-=i,a+=i):o===t3?a+=i:o===n3?(t-=r*1.5,s+=r):o===e3&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Gf.Tag=Qc;Qc.prototype.className="Tag";(0,iz._registerNode)(Qc);Qb.Factory.addGetterSetter(Qc,"pointerDirection",o1e);Qb.Factory.addGetterSetter(Qc,"pointerWidth",0,(0,wT.getNumberValidator)());Qb.Factory.addGetterSetter(Qc,"pointerHeight",0,(0,wT.getNumberValidator)());Qb.Factory.addGetterSetter(Qc,"cornerRadius",0,(0,wT.getNumberOrArrayOfNumbersValidator)(4));var Um={};Object.defineProperty(Um,"__esModule",{value:!0});Um.Rect=void 0;const a1e=xt,l1e=zr,u1e=Et,c1e=ir,d1e=He;let Yb=class extends l1e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?c1e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Um.Rect=Yb;Yb.prototype.className="Rect";(0,u1e._registerNode)(Yb);a1e.Factory.addGetterSetter(Yb,"cornerRadius",0,(0,d1e.getNumberOrArrayOfNumbersValidator)(4));var Zb={};Object.defineProperty(Zb,"__esModule",{value:!0});Zb.RegularPolygon=void 0;const sz=xt,f1e=zr,az=He,h1e=Et;class Yc extends f1e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return 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s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}tS.Star=Ou;Ou.prototype.className="Star";Ou.prototype._centroid=!0;Ou.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,b1e._registerNode)(Ou);CT.Factory.addGetterSetter(Ou,"numPoints",5,(0,ET.getNumberValidator)());CT.Factory.addGetterSetter(Ou,"innerRadius",0,(0,ET.getNumberValidator)());CT.Factory.addGetterSetter(Ou,"outerRadius",0,(0,ET.getNumberValidator)());var Mc={};Object.defineProperty(Mc,"__esModule",{value:!0});Mc.Text=Mc.stringToArray=void 0;const r3=ir,Zi=xt,S1e=zr,Iu=He,w1e=Et;function dz(e){return Array.from(e)}Mc.stringToArray=dz;var bd="auto",x1e="center",zh="justify",C1e="Change.konva",E1e="2d",K8="-",fz="left",T1e="text",A1e="Text",k1e="top",P1e="bottom",X8="middle",hz="normal",R1e="px 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n=0;n<N1e;n++)this.on(pz[n]+C1e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,b,_=0,_=s/2,v=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",X8),t.setAttr("textAlign",fz),a===X8?l=(this.getHeight()-r*s-i*2)/2:a===P1e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),b=0;b<r;b++){var v=0,g=0,y=n[b],S=y.text,w=y.width,x=y.lastInParagraph,E,A,T;if(t.save(),u===O1e?v+=c-w-i*2:u===x1e&&(v+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(v,_+g+Math.round(o/2)),E=S.split(" ").length-1,A=E===0,T=u===zh&&!x?c-i*2:w,t.lineTo(v+Math.round(T),_+g+Math.round(o/2)),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(v,_+g),E=S.split(" ").length-1,A=E===0,T=u===zh&&x&&!A?c-i*2:w,t.lineTo(v+Math.round(T),_+g),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(d!==0||u===zh){E=S.split(" ").length-1;for(var k=dz(S),L=0;L<k.length;L++){var N=k[L];N===" "&&!x&&u===zh&&(v+=(c-i*2-w)/E),this._partialTextX=v,this._partialTextY=_+g,this._partialText=N,t.fillStrokeShape(this),v+=this.measureSize(N).width+d}}else this._partialTextX=v,this._partialTextY=_+g,this._partialText=S,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=r3.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(T1e,n),this}getWidth(){var t=this.attrs.width===bd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===bd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return r3.Util.warn("text.getTextHeight() method is deprecated. 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Ew.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}nS.TextPath=Ur;Ur.prototype._fillFunc=yz;Ur.prototype._strokeFunc=vz;Ur.prototype._fillFuncHit=yz;Ur.prototype._strokeFuncHit=vz;Ur.prototype.className="TextPath";Ur.prototype._attrsAffectingSize=["text","fontSize","data"];(0,z1e._registerNode)(Ur);Fs.Factory.addGetterSetter(Ur,"data");Fs.Factory.addGetterSetter(Ur,"fontFamily","Arial");Fs.Factory.addGetterSetter(Ur,"fontSize",12,(0,gz.getNumberValidator)());Fs.Factory.addGetterSetter(Ur,"fontStyle",mz);Fs.Factory.addGetterSetter(Ur,"align","left");Fs.Factory.addGetterSetter(Ur,"letterSpacing",0,(0,gz.getNumberValidator)());Fs.Factory.addGetterSetter(Ur,"textBaseline","middle");Fs.Factory.addGetterSetter(Ur,"fontVariant",mz);Fs.Factory.addGetterSetter(Ur,"text",U1e);Fs.Factory.addGetterSetter(Ur,"textDecoration",null);Fs.Factory.addGetterSetter(Ur,"kerningFunc",null);var rS={};Object.defineProperty(rS,"__esModule",{value:!0});rS.Transformer=void 0;const hn=ir,ln=xt,Y8=Kn,j1e=zr,V1e=Um,Z8=ch,ms=Et,Mu=He,G1e=Et;var _z="tr-konva",H1e=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${_z}`).join(" "),J8="nodesRect",q1e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],W1e={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const K1e="ontouchstart"in ms.Konva._global;function X1e(e,t){if(e==="rotater")return"crosshair";t+=hn.Util.degToRad(W1e[e]||0);var n=(hn.Util.radToDeg(t)%360+360)%360;return hn.Util._inRange(n,315+22.5,360)||hn.Util._inRange(n,0,22.5)?"ns-resize":hn.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":hn.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":hn.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":hn.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":hn.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":hn.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":hn.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(hn.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var C1=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],eR=1e8;function Q1e(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function bz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Y1e(e,t){const n=Q1e(e);return bz(e,t,n)}function Z1e(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=ms.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Vt extends Z8.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(H1e,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return hn.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return _z+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(hn.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(q1e.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(J8),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(J8,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(ms.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return bz(c,-ms.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-eR,y:-eR,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new hn.Transform;r.rotate(-ms.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:ms.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),C1.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new V1e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:K1e?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=ms.Konva.getAngle(this.rotation()),o=X1e(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new j1e.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*hn.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let N=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(N-=Math.PI);var f=ms.Konva.getAngle(this.rotation());const C=f+N,P=ms.Konva.getAngle(this.rotationSnapTolerance()),B=Z1e(this.rotationSnaps(),C,P)-d.rotation,R=Y1e(d,B);this._fitNodesInto(R,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-right").x()<m.x?-1:1,_=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var v=o.position();this.findOne(".top-left").y(v.y),this.findOne(".bottom-right").x(v.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var b=m.x<o.x()?-1:1,_=o.y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,o.x(m.x-n),o.y(m.y+r)}v=o.position(),this.findOne(".top-left").x(v.x),this.findOne(".bottom-right").y(v.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var b=this.findOne(".bottom-right").x()<m.x?-1:1,_=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var y=this.findOne(".top-left"),S=this.findOne(".bottom-right"),w=y.x(),x=y.y(),E=this.getWidth()-S.x(),A=this.getHeight()-S.y();S.move({x:-w,y:-x}),y.move({x:E,y:A})}var T=this.findOne(".top-left").getAbsolutePosition();n=T.x,r=T.y;var k=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),L=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:k,height:L,rotation:ms.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(hn.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(hn.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new hn.Transform;if(s.rotate(ms.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:hn.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new hn.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new hn.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new hn.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(hn.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(hn.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*hn.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),Z8.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return Y8.Node.prototype.toObject.call(this)}clone(t){var n=Y8.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}rS.Transformer=Vt;function J1e(e){return e instanceof Array||hn.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){C1.indexOf(t)===-1&&hn.Util.warn("Unknown anchor name: "+t+". Available names are: "+C1.join(", "))}),e||[]}Vt.prototype.className="Transformer";(0,G1e._registerNode)(Vt);ln.Factory.addGetterSetter(Vt,"enabledAnchors",C1,J1e);ln.Factory.addGetterSetter(Vt,"flipEnabled",!0,(0,Mu.getBooleanValidator)());ln.Factory.addGetterSetter(Vt,"resizeEnabled",!0);ln.Factory.addGetterSetter(Vt,"anchorSize",10,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"rotateEnabled",!0);ln.Factory.addGetterSetter(Vt,"rotationSnaps",[]);ln.Factory.addGetterSetter(Vt,"rotateAnchorOffset",50,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"rotationSnapTolerance",5,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderEnabled",!0);ln.Factory.addGetterSetter(Vt,"anchorStroke","rgb(0, 161, 255)");ln.Factory.addGetterSetter(Vt,"anchorStrokeWidth",1,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"anchorFill","white");ln.Factory.addGetterSetter(Vt,"anchorCornerRadius",0,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderStroke","rgb(0, 161, 255)");ln.Factory.addGetterSetter(Vt,"borderStrokeWidth",1,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"borderDash");ln.Factory.addGetterSetter(Vt,"keepRatio",!0);ln.Factory.addGetterSetter(Vt,"shiftBehavior","default");ln.Factory.addGetterSetter(Vt,"centeredScaling",!1);ln.Factory.addGetterSetter(Vt,"ignoreStroke",!1);ln.Factory.addGetterSetter(Vt,"padding",0,(0,Mu.getNumberValidator)());ln.Factory.addGetterSetter(Vt,"node");ln.Factory.addGetterSetter(Vt,"nodes");ln.Factory.addGetterSetter(Vt,"boundBoxFunc");ln.Factory.addGetterSetter(Vt,"anchorDragBoundFunc");ln.Factory.addGetterSetter(Vt,"anchorStyleFunc");ln.Factory.addGetterSetter(Vt,"shouldOverdrawWholeArea",!1);ln.Factory.addGetterSetter(Vt,"useSingleNodeRotation",!0);ln.Factory.backCompat(Vt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var iS={};Object.defineProperty(iS,"__esModule",{value:!0});iS.Wedge=void 0;const oS=xt,e_e=zr,t_e=Et,Sz=He,n_e=Et;class ml extends e_e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,t_e.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}iS.Wedge=ml;ml.prototype.className="Wedge";ml.prototype._centroid=!0;ml.prototype._attrsAffectingSize=["radius"];(0,n_e._registerNode)(ml);oS.Factory.addGetterSetter(ml,"radius",0,(0,Sz.getNumberValidator)());oS.Factory.addGetterSetter(ml,"angle",0,(0,Sz.getNumberValidator)());oS.Factory.addGetterSetter(ml,"clockwise",!1);oS.Factory.backCompat(ml,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var sS={};Object.defineProperty(sS,"__esModule",{value:!0});sS.Blur=void 0;const tR=xt,r_e=Kn,i_e=He;function nR(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var o_e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],s_e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function a_e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,v,g,y,S,w,x,E,A,T,k,L,N=t+t+1,C=r-1,P=i-1,D=t+1,B=D*(D+1)/2,R=new nR,O=null,I=R,F=null,U=null,V=o_e[t],H=s_e[t];for(a=1;a<N;a++)I=I.next=new nR,a===D&&(O=I);for(I.next=R,d=c=0,s=0;s<i;s++){for(y=S=w=x=f=h=p=m=0,b=D*(E=n[c]),_=D*(A=n[c+1]),v=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*E,h+=B*A,p+=B*T,m+=B*k,I=R,a=0;a<D;a++)I.r=E,I.g=A,I.b=T,I.a=k,I=I.next;for(a=1;a<D;a++)l=c+((C<a?C:a)<<2),f+=(I.r=E=n[l])*(L=D-a),h+=(I.g=A=n[l+1])*L,p+=(I.b=T=n[l+2])*L,m+=(I.a=k=n[l+3])*L,y+=E,S+=A,w+=T,x+=k,I=I.next;for(F=R,U=O,o=0;o<r;o++)n[c+3]=k=m*V>>H,k!==0?(k=255/k,n[c]=(f*V>>H)*k,n[c+1]=(h*V>>H)*k,n[c+2]=(p*V>>H)*k):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=v,m-=g,b-=F.r,_-=F.g,v-=F.b,g-=F.a,l=d+((l=o+t+1)<C?l:C)<<2,y+=F.r=n[l],S+=F.g=n[l+1],w+=F.b=n[l+2],x+=F.a=n[l+3],f+=y,h+=S,p+=w,m+=x,F=F.next,b+=E=U.r,_+=A=U.g,v+=T=U.b,g+=k=U.a,y-=E,S-=A,w-=T,x-=k,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(S=w=x=y=h=p=m=f=0,c=o<<2,b=D*(E=n[c]),_=D*(A=n[c+1]),v=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*E,h+=B*A,p+=B*T,m+=B*k,I=R,a=0;a<D;a++)I.r=E,I.g=A,I.b=T,I.a=k,I=I.next;for(u=r,a=1;a<=t;a++)c=u+o<<2,f+=(I.r=E=n[c])*(L=D-a),h+=(I.g=A=n[c+1])*L,p+=(I.b=T=n[c+2])*L,m+=(I.a=k=n[c+3])*L,y+=E,S+=A,w+=T,x+=k,I=I.next,a<P&&(u+=r);for(c=o,F=R,U=O,s=0;s<i;s++)l=c<<2,n[l+3]=k=m*V>>H,k>0?(k=255/k,n[l]=(f*V>>H)*k,n[l+1]=(h*V>>H)*k,n[l+2]=(p*V>>H)*k):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=v,m-=g,b-=F.r,_-=F.g,v-=F.b,g-=F.a,l=o+((l=s+D)<P?l:P)*r<<2,f+=y+=F.r=n[l],h+=S+=F.g=n[l+1],p+=w+=F.b=n[l+2],m+=x+=F.a=n[l+3],F=F.next,b+=E=U.r,_+=A=U.g,v+=T=U.b,g+=k=U.a,y-=E,S-=A,w-=T,x-=k,U=U.next,c+=r}}const l_e=function(t){var n=Math.round(this.blurRadius());n>0&&a_e(t,n)};sS.Blur=l_e;tR.Factory.addGetterSetter(r_e.Node,"blurRadius",0,(0,i_e.getNumberValidator)(),tR.Factory.afterSetFilter);var aS={};Object.defineProperty(aS,"__esModule",{value:!0});aS.Brighten=void 0;const rR=xt,u_e=Kn,c_e=He,d_e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};aS.Brighten=d_e;rR.Factory.addGetterSetter(u_e.Node,"brightness",0,(0,c_e.getNumberValidator)(),rR.Factory.afterSetFilter);var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.Contrast=void 0;const iR=xt,f_e=Kn,h_e=He,p_e=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};lS.Contrast=p_e;iR.Factory.addGetterSetter(f_e.Node,"contrast",0,(0,h_e.getNumberValidator)(),iR.Factory.afterSetFilter);var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.Emboss=void 0;const vu=xt,cS=Kn,g_e=ir,wz=He,m_e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:g_e.Util.error("Unknown emboss direction: "+r)}do{var f=(d-1)*c,h=o;d+h<1&&(h=0),d+h>u&&(h=0);var p=(d-1+h)*l*4,m=l;do{var b=f+(m-1)*4,_=s;m+_<1&&(_=0),m+_>l&&(_=0);var v=p+(m-1+_)*4,g=a[b]-a[v],y=a[b+1]-a[v+1],S=a[b+2]-a[v+2],w=g,x=w>0?w:-w,E=y>0?y:-y,A=S>0?S:-S;if(E>x&&(w=y),A>x&&(w=S),w*=t,i){var T=a[b]+w,k=a[b+1]+w,L=a[b+2]+w;a[b]=T>255?255:T<0?0:T,a[b+1]=k>255?255:k<0?0:k,a[b+2]=L>255?255:L<0?0:L}else{var N=n-w;N<0?N=0:N>255&&(N=255),a[b]=a[b+1]=a[b+2]=N}}while(--m)}while(--d)};uS.Emboss=m_e;vu.Factory.addGetterSetter(cS.Node,"embossStrength",.5,(0,wz.getNumberValidator)(),vu.Factory.afterSetFilter);vu.Factory.addGetterSetter(cS.Node,"embossWhiteLevel",.5,(0,wz.getNumberValidator)(),vu.Factory.afterSetFilter);vu.Factory.addGetterSetter(cS.Node,"embossDirection","top-left",null,vu.Factory.afterSetFilter);vu.Factory.addGetterSetter(cS.Node,"embossBlend",!1,null,vu.Factory.afterSetFilter);var dS={};Object.defineProperty(dS,"__esModule",{value:!0});dS.Enhance=void 0;const oR=xt,y_e=Kn,v_e=He;function Aw(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const __e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<s?s=l:l>a&&(a=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,v,g,y,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),v=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,v=a+h*(a-_),g=s+h*(s-_),y=(c+u)*.5,S=c+h*(c-y),w=u+h*(u-y)),f=0;f<n;f+=4)t[f+0]=Aw(t[f+0],r,i,b,m),t[f+1]=Aw(t[f+1],s,a,g,v),t[f+2]=Aw(t[f+2],u,c,w,S)}};dS.Enhance=__e;oR.Factory.addGetterSetter(y_e.Node,"enhance",0,(0,v_e.getNumberValidator)(),oR.Factory.afterSetFilter);var fS={};Object.defineProperty(fS,"__esModule",{value:!0});fS.Grayscale=void 0;const b_e=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};fS.Grayscale=b_e;var hS={};Object.defineProperty(hS,"__esModule",{value:!0});hS.HSL=void 0;const Hf=xt,TT=Kn,AT=He;Hf.Factory.addGetterSetter(TT.Node,"hue",0,(0,AT.getNumberValidator)(),Hf.Factory.afterSetFilter);Hf.Factory.addGetterSetter(TT.Node,"saturation",0,(0,AT.getNumberValidator)(),Hf.Factory.afterSetFilter);Hf.Factory.addGetterSetter(TT.Node,"luminance",0,(0,AT.getNumberValidator)(),Hf.Factory.afterSetFilter);const S_e=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),c=.299*r+.701*l+.167*u,d=.587*r-.587*l+.33*u,f=.114*r-.114*l-.497*u,h=.299*r-.299*l-.328*u,p=.587*r+.413*l+.035*u,m=.114*r-.114*l+.293*u,b=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,v=.114*r+.886*l-.2*u,g,y,S,w;for(a=0;a<n;a+=4)g=t[a+0],y=t[a+1],S=t[a+2],w=t[a+3],t[a+0]=c*g+d*y+f*S+s,t[a+1]=h*g+p*y+m*S+s,t[a+2]=b*g+_*y+v*S+s,t[a+3]=w};hS.HSL=S_e;var pS={};Object.defineProperty(pS,"__esModule",{value:!0});pS.HSV=void 0;const qf=xt,kT=Kn,PT=He,w_e=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,c=.587*r-.587*a+.33*l,d=.114*r-.114*a-.497*l,f=.299*r-.299*a-.328*l,h=.587*r+.413*a+.035*l,p=.114*r-.114*a+.293*l,m=.299*r-.3*a+1.25*l,b=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,v,g,y,S;for(s=0;s<n;s+=4)v=t[s+0],g=t[s+1],y=t[s+2],S=t[s+3],t[s+0]=u*v+c*g+d*y,t[s+1]=f*v+h*g+p*y,t[s+2]=m*v+b*g+_*y,t[s+3]=S};pS.HSV=w_e;qf.Factory.addGetterSetter(kT.Node,"hue",0,(0,PT.getNumberValidator)(),qf.Factory.afterSetFilter);qf.Factory.addGetterSetter(kT.Node,"saturation",0,(0,PT.getNumberValidator)(),qf.Factory.afterSetFilter);qf.Factory.addGetterSetter(kT.Node,"value",0,(0,PT.getNumberValidator)(),qf.Factory.afterSetFilter);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Invert=void 0;const x_e=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};gS.Invert=x_e;var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Kaleidoscope=void 0;const E1=xt,xz=Kn,sR=ir,Cz=He;var C_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f=0,h=0,p=0,m=0,b,_=Math.sqrt(a*a+l*l);c=o-a,d=s-l,b=Math.sqrt(c*c+d*d),_=b>_?b:_;var v=s,g=o,y,S,w=360/g*Math.PI/180,x,E;for(S=0;S<g;S+=1)for(x=Math.sin(S*w),E=Math.cos(S*w),y=0;y<v;y+=1)c=Math.floor(a+_*y/v*E),d=Math.floor(l+_*y/v*x),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(S+y*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},E_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f,h,p=0,m=0,b=0,_=0,v,g=Math.sqrt(a*a+l*l);c=o-a,d=s-l,v=Math.sqrt(c*c+d*d),g=v>g?v:g;var y=s,S=o,w,x,E=n.polarRotation||0,A,T;for(c=0;c<o;c+=1)for(d=0;d<s;d+=1)f=c-a,h=d-l,w=Math.sqrt(f*f+h*h)*y/g,x=(Math.atan2(h,f)*180/Math.PI+360+E)%360,x=x*S/360,A=Math.floor(x),T=Math.floor(w),u=(T*o+A)*4,p=r[u+0],m=r[u+1],b=r[u+2],_=r[u+3],u=(d*o+c)*4,i[u+0]=p,i[u+1]=m,i[u+2]=b,i[u+3]=_};const T_e=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,c,d,f,h=Math.round(this.kaleidoscopePower()),p=Math.round(this.kaleidoscopeAngle()),m=Math.floor(t*(p%360)/360);if(!(h<1)){var b=sR.Util.createCanvasElement();b.width=t,b.height=n;var _=b.getContext("2d").getImageData(0,0,t,n);sR.Util.releaseCanvas(b),C_e(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var v=t/Math.pow(2,h);v<=8;)v=v*2,h-=1;v=Math.ceil(v);var g=v,y=0,S=g,w=1;for(m+v>t&&(y=g,S=0,w=-1),i=0;i<n;i+=1)for(r=y;r!==S;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+r)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(v),s=0;s<h;s+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+g*2-r-1)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;g*=2}E_e(_,e,{polarRotation:0})}};mS.Kaleidoscope=T_e;E1.Factory.addGetterSetter(xz.Node,"kaleidoscopePower",2,(0,Cz.getNumberValidator)(),E1.Factory.afterSetFilter);E1.Factory.addGetterSetter(xz.Node,"kaleidoscopeAngle",0,(0,Cz.getNumberValidator)(),E1.Factory.afterSetFilter);var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Mask=void 0;const aR=xt,A_e=Kn,k_e=He;function Yy(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function jh(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function P_e(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function R_e(e,t){var n=Yy(e,0,0),r=Yy(e,e.width-1,0),i=Yy(e,0,e.height-1),o=Yy(e,e.width-1,e.height-1),s=t||10;if(jh(n,r)<s&&jh(r,o)<s&&jh(o,i)<s&&jh(i,n)<s){for(var a=P_e([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var c=jh(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=c<s?0:255}return l}}function O_e(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function I_e(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c===255*8?255:0}return s}function M_e(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c>=255*4?255:0}return s}function N_e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c}return s}const D_e=function(e){var t=this.threshold(),n=R_e(e,t);return n&&(n=I_e(n,e.width,e.height),n=M_e(n,e.width,e.height),n=N_e(n,e.width,e.height),O_e(e,n)),e};yS.Mask=D_e;aR.Factory.addGetterSetter(A_e.Node,"threshold",0,(0,k_e.getNumberValidator)(),aR.Factory.afterSetFilter);var vS={};Object.defineProperty(vS,"__esModule",{value:!0});vS.Noise=void 0;const lR=xt,L_e=Kn,$_e=He,F_e=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};vS.Noise=F_e;lR.Factory.addGetterSetter(L_e.Node,"noise",.2,(0,$_e.getNumberValidator)(),lR.Factory.afterSetFilter);var _S={};Object.defineProperty(_S,"__esModule",{value:!0});_S.Pixelate=void 0;const uR=xt,B_e=ir,z_e=Kn,U_e=He,j_e=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,b,_,v,g,y=e.data;if(t<=0){B_e.Util.error("pixelSize value can not be <= 0");return}for(_=0;_<d;_+=1)for(v=0;v<f;v+=1){for(a=0,l=0,u=0,c=0,h=_*t,p=h+t,m=v*t,b=m+t,g=0,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<b;o+=1)o>=r||(s=(n*o+i)*4,a+=y[s+0],l+=y[s+1],u+=y[s+2],c+=y[s+3],g+=1);for(a=a/g,l=l/g,u=u/g,c=c/g,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<b;o+=1)o>=r||(s=(n*o+i)*4,y[s+0]=a,y[s+1]=l,y[s+2]=u,y[s+3]=c)}};_S.Pixelate=j_e;uR.Factory.addGetterSetter(z_e.Node,"pixelSize",8,(0,U_e.getNumberValidator)(),uR.Factory.afterSetFilter);var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.Posterize=void 0;const cR=xt,V_e=Kn,G_e=He,H_e=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o<r;o+=1)n[o]=Math.floor(n[o]/i)*i};bS.Posterize=H_e;cR.Factory.addGetterSetter(V_e.Node,"levels",.5,(0,G_e.getNumberValidator)(),cR.Factory.afterSetFilter);var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.RGB=void 0;const T1=xt,RT=Kn,q_e=He,W_e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};SS.RGB=W_e;T1.Factory.addGetterSetter(RT.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});T1.Factory.addGetterSetter(RT.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});T1.Factory.addGetterSetter(RT.Node,"blue",0,q_e.RGBComponent,T1.Factory.afterSetFilter);var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.RGBA=void 0;const Ug=xt,xS=Kn,K_e=He,X_e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};wS.RGBA=X_e;Ug.Factory.addGetterSetter(xS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Ug.Factory.addGetterSetter(xS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Ug.Factory.addGetterSetter(xS.Node,"blue",0,K_e.RGBComponent,Ug.Factory.afterSetFilter);Ug.Factory.addGetterSetter(xS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.Sepia=void 0;const Q_e=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};CS.Sepia=Q_e;var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Solarize=void 0;const Y_e=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};ES.Solarize=Y_e;var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Threshold=void 0;const dR=xt,Z_e=Kn,J_e=He,ebe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};TS.Threshold=ebe;dR.Factory.addGetterSetter(Z_e.Node,"threshold",.5,(0,J_e.getNumberValidator)(),dR.Factory.afterSetFilter);Object.defineProperty(Db,"__esModule",{value:!0});Db.Konva=void 0;const fR=GB,tbe=Ub,nbe=Gb,rbe=Wb,ibe=Kb,obe=Xb,hR=Gf,sbe=Bm,abe=fh,lbe=Um,ube=Zb,cbe=Jb,dbe=eS,fbe=tS,hbe=Mc,pbe=nS,gbe=rS,mbe=iS,ybe=sS,vbe=aS,_be=lS,bbe=uS,Sbe=dS,wbe=fS,xbe=hS,Cbe=pS,Ebe=gS,Tbe=mS,Abe=yS,kbe=vS,Pbe=_S,Rbe=bS,Obe=SS,Ibe=wS,Mbe=CS,Nbe=ES,Dbe=TS;Db.Konva=fR.Konva.Util._assign(fR.Konva,{Arc:tbe.Arc,Arrow:nbe.Arrow,Circle:rbe.Circle,Ellipse:ibe.Ellipse,Image:obe.Image,Label:hR.Label,Tag:hR.Tag,Line:sbe.Line,Path:abe.Path,Rect:lbe.Rect,RegularPolygon:ube.RegularPolygon,Ring:cbe.Ring,Sprite:dbe.Sprite,Star:fbe.Star,Text:hbe.Text,TextPath:pbe.TextPath,Transformer:gbe.Transformer,Wedge:mbe.Wedge,Filters:{Blur:ybe.Blur,Brighten:vbe.Brighten,Contrast:_be.Contrast,Emboss:bbe.Emboss,Enhance:Sbe.Enhance,Grayscale:wbe.Grayscale,HSL:xbe.HSL,HSV:Cbe.HSV,Invert:Ebe.Invert,Kaleidoscope:Tbe.Kaleidoscope,Mask:Abe.Mask,Noise:kbe.Noise,Pixelate:Pbe.Pixelate,Posterize:Rbe.Posterize,RGB:Obe.RGB,RGBA:Ibe.RGBA,Sepia:Mbe.Sepia,Solarize:Nbe.Solarize,Threshold:Dbe.Threshold}});var Lbe=mT.exports;Object.defineProperty(Lbe,"__esModule",{value:!0});const $be=Db;mT.exports=$be.Konva;var Fbe=mT.exports;const Vh=Lc(Fbe),Bbe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new Vh.Stage({container:o,width:r,height:i}),a=new Vh.Layer,l=new Vh.Layer;return a.add(new Vh.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new Vh.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},zbe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),pR=async(e,t)=>{const n=e.toDataURL(t);return await zbe(n,t.width,t.height)},OT=async(e,t,n,r,i)=>{const o=pe("canvas"),s=Mb(),a=N0e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const c=u.getAbsolutePosition(),d={x:l.x+c.x,y:l.y+c.y,width:l.width,height:l.height},f=await w1(u,d),h=await pR(u,d),p=await Bbe(r?e.objects.filter(uD):[],l,i),m=await w1(p,l),b=await pR(p,l);return{baseBlob:f,baseImageData:h,maskBlob:m,maskImageData:b}},Ube=()=>{xe({actionCreator:A0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await OT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Fn({title:"Problem Saving Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery;t(he.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Saved to Assets"}}}))}})},jbe=()=>{xe({actionCreator:I0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await OT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Fn({title:"Problem Importing Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery,l=await t(he.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Sent to ControlNet & Assets"}}})).unwrap(),{image_name:u}=l;t(Hc({controlNetId:e.payload.controlNet.controlNetId,controlImage:u}))}})},Vbe=async()=>{const e=Mb();if(!e)return;const t=e.clone();return t.scale({x:1,y:1}),w1(t,t.getClientRect())},Gbe=()=>{xe({actionCreator:R0e,effect:async(e,{dispatch:t})=>{const n=tb.get().child({namespace:"canvasCopiedToClipboardListener"}),r=await Vbe();if(!r){n.error("Problem getting base layer blob"),t(Fn({title:"Problem Merging Canvas",description:"Unable to export base layer",status:"error"}));return}const i=Mb();if(!i){n.error("Problem getting canvas base layer"),t(Fn({title:"Problem Merging Canvas",description:"Unable to export base layer",status:"error"}));return}const o=i.getClientRect({relativeTo:i.getParent()}),s=await t(he.endpoints.uploadImage.initiate({file:new File([r],"mergedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Canvas Merged"}}})).unwrap(),{image_name:a}=s;t(Lne({kind:"image",layer:"base",imageName:a,...o}))}})},Hbe=()=>{xe({actionCreator:T0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await Nb(i);if(!o){r.error("Problem getting base layer blob"),t(Fn({title:"Problem Saving Canvas",description:"Unable to export base layer",status:"error"}));return}const{autoAddBoardId:s}=i.gallery;t(he.endpoints.uploadImage.initiate({file:new File([o],"savedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!1,board_id:s==="none"?void 0:s,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Canvas Saved to Gallery"}}}))}})},qbe=(e,t,n)=>{var d;if(!(Xce.match(e)||S6.match(e)||Hc.match(e)||Qce.match(e)||w6.match(e))||w6.match(e)&&((d=n.controlNet.controlNets[e.payload.controlNetId])==null?void 0:d.shouldAutoConfig)===!0)return!1;const i=t.controlNet.controlNets[e.payload.controlNetId];if(!i)return!1;const{controlImage:o,processorType:s,shouldAutoConfig:a}=i;if(S6.match(e)&&!a)return!1;const l=s!=="none",u=t.system.isProcessing;return l&&!u&&!!o},Wbe=()=>{xe({predicate:qbe,effect:async(e,{dispatch:t,cancelActiveListeners:n,delay:r})=>{const i=pe("session"),{controlNetId:o}=e.payload;n(),i.trace("ControlNet auto-process triggered"),await r(300),t(HE({controlNetId:o}))}})},ed=Me("system/sessionReadyToInvoke"),Ez=e=>(e==null?void 0:e.type)==="image_output",Kbe=()=>{xe({actionCreator:HE,effect:async(e,{dispatch:t,getState:n,take:r})=>{const i=pe("session"),{controlNetId:o}=e.payload,s=n().controlNet.controlNets[o];if(!(s!=null&&s.controlImage)){i.error("Unable to process ControlNet image");return}const a={nodes:{[s.processorNode.id]:{...s.processorNode,is_intermediate:!0,image:{image_name:s.controlImage}}}},l=t(Si({graph:a})),[u]=await r(f=>Si.fulfilled.match(f)&&f.meta.requestId===l.requestId),c=u.payload.id;t(ed());const[d]=await r(f=>jE.match(f)&&f.payload.data.graph_execution_state_id===c);if(Ez(d.payload.data.result)){const{image_name:f}=d.payload.data.result.image,[{payload:h}]=await r(m=>he.endpoints.getImageDTO.matchFulfilled(m)&&m.payload.image_name===f),p=h;i.debug({controlNetId:e.payload,processedControlImage:p},"ControlNet image processed"),t(qE({controlNetId:o,processedControlImage:p.image_name}))}}})},Xbe=()=>{xe({matcher:he.endpoints.addImageToBoard.matchFulfilled,effect:e=>{const t=pe("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Image added to board")}})},Qbe=()=>{xe({matcher:he.endpoints.addImageToBoard.matchRejected,effect:e=>{const t=pe("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Problem adding image to 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0,controlnets:[],loras:[],clip_skip:d,strength:u,init_image:t.image_name},A.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(p||m)&&(us(e,A,x),x=$r),ph(e,A,Fe),cs(e,A,x),Du(e,A),as(e,A,Fe),e.system.shouldUseNSFWChecker&&ls(e,A,me),e.system.shouldUseWatermarker&&ds(e,A,me),A},rwe=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,maskBlurMethod:v,canvasCoherenceMode:g,canvasCoherenceSteps:y,canvasCoherenceStrength:S,clipSkip:w,seamlessXAxis:x,seamlessYAxis:E}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:A,height:T}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:k,boundingBoxScaleMethod:L,shouldAutoSave:N}=e.canvas,C=p==="fp32",P=["auto","manual"].includes(L);let D=Nu;const B=b,R={id:kS,nodes:{[D]:{type:"main_model_loader",id:D,is_intermediate:!0,model:s},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:w},[Be]:{type:"compel",id:Be,is_intermediate:!0,prompt:i},[Ve]:{type:"compel",id:Ve,is_intermediate:!0,prompt:o},[Ri]:{type:"img_blur",id:Ri,is_intermediate:!0,radius:_,blur_type:v},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:C},[we]:{type:"noise",id:we,use_cpu:B,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:C},[Fe]:{type:"denoise_latents",id:Fe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[gn]:{type:"noise",id:we,use_cpu:B,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-S,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:C},[me]:{type:"color_correct",id:me,is_intermediate:!N,reference:t},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:d,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:D,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:D,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Fe,field:"latents"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Fe,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:D,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Fe,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(P){const O=k.width,I=k.height;R.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:O,height:I,image:t},R.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:O,height:I,image:n},R.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:A,height:T},R.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:A,height:T},R.nodes[we].width=O,R.nodes[we].height=I,R.nodes[gn].width=O,R.nodes[gn].height=I,R.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Ri,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else R.nodes[we].width=A,R.nodes[we].height=T,R.nodes[gn].width=A,R.nodes[gn].height=T,R.nodes[Bn]={...R.nodes[Bn],image:t},R.nodes[Ri]={...R.nodes[Ri],image:n},R.nodes[Ln]={...R.nodes[Ln],image:t},R.edges.push({source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:me,field:"mask"}});if(g!=="unmasked"&&(R.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:C},P?R.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Nt,field:"image"}}):R.nodes[Nt]={...R.nodes[Nt],image:t},g==="mask"&&(P?R.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):R.nodes[Nt]={...R.nodes[Nt],mask:n}),g==="edge"&&(R.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},P?R.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):R.nodes[lr]={...R.nodes[lr],image:n},R.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),R.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:yt,field:"denoise_mask"}})),h){const O={id:Dr,type:"rand_int"};R.nodes[Dr]=O,R.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else R.nodes[Wn].start=f;return(x||E)&&(us(e,R,D),D=$r),cs(e,R,D),ph(e,R,Fe,D),as(e,R,Fe),e.system.shouldUseNSFWChecker&&ls(e,R,me),e.system.shouldUseWatermarker&&ds(e,R,me),R},iwe=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,canvasCoherenceMode:v,canvasCoherenceSteps:g,canvasCoherenceStrength:y,infillTileSize:S,infillPatchmatchDownscaleSize:w,infillMethod:x,clipSkip:E,seamlessXAxis:A,seamlessYAxis:T}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in 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F=N.width,U=N.height;I.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:F,height:U,image:t},I.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:F,height:U},I.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:k,height:L},I.nodes[Gl]={type:"img_resize",id:Gl,is_intermediate:!0,width:k,height:L},I.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},I.nodes[we].width=F,I.nodes[we].height=U,I.nodes[gn].width=F,I.nodes[gn].height=U,I.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bt,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Gl,field:"image"}},{source:{node_id:Gl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else I.nodes[Bt]={...I.nodes[Bt],image:t},I.nodes[we].width=k,I.nodes[we].height=L,I.nodes[gn].width=k,I.nodes[gn].height=L,I.nodes[Bn]={...I.nodes[Bn],image:t},I.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:me,field:"mask"}});if(v!=="unmasked"&&(I.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:D},I.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:Nt,field:"image"}}),v==="mask"&&(B?I.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):I.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:Nt,field:"mask"}})),v==="edge"&&(I.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},B?I.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):I.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:lr,field:"image"}}),I.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),I.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:yt,field:"denoise_mask"}})),h){const F={id:Dr,type:"rand_int"};I.nodes[Dr]=F,I.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else I.nodes[Wn].start=f;return(A||T)&&(us(e,I,R),R=$r),cs(e,I,R),ph(e,I,Fe,R),as(e,I,Fe),e.system.shouldUseNSFWChecker&&ls(e,I,me),e.system.shouldUseWatermarker&&ds(e,I,me),I},gh=(e,t,n,r=Oi)=>{const{loras:i}=e.lora,o=k_(i),s=t.nodes[At],a=r;let l=r;[$r,$a].includes(r)&&(l=Oi),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;ns(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${Rz}_${f.replace(".","_")}`,b={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};s&&(s.loras||(s.loras=[]),s.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=b,c===0?(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[Nc,Dc].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:yt,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Be,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Ve,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Be,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Ve,field:"clip2"}})),u=m,c+=1})},td=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},mh=(e,t,n,r,i)=>{const{refinerModel:o,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:a,refinerSteps:l,refinerScheduler:u,refinerCFGScale:c,refinerStart:d}=e.sdxl,{seamlessXAxis:f,seamlessYAxis:h,vaePrecision:p}=e.generation,{boundingBoxScaleMethod:m}=e.canvas,b=p==="fp32",_=["auto","manual"].includes(m);if(!o)return;const v=t.nodes[At];v&&(v.refiner_model=o,v.refiner_positive_aesthetic_score=s,v.refiner_negative_aesthetic_score=a,v.refiner_cfg_scale=c,v.refiner_scheduler=u,v.refiner_start=d,v.refiner_steps=l);const g=r||Oi,{craftedPositiveStylePrompt:y,craftedNegativeStylePrompt:S}=td(e,!0);t.edges=t.edges.filter(w=>!(w.source.node_id===n&&["latents"].includes(w.source.field))),t.edges=t.edges.filter(w=>!(w.source.node_id===g&&["vae"].includes(w.source.field))),t.nodes[Vu]={type:"sdxl_refiner_model_loader",id:Vu,model:o},t.nodes[Jy]={type:"sdxl_refiner_compel_prompt",id:Jy,style:y,aesthetic_score:s},t.nodes[e0]={type:"sdxl_refiner_compel_prompt",id:e0,style:S,aesthetic_score:a},t.nodes[Vs]={type:"denoise_latents",id:Vs,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[Cs]={id:Cs,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:Vu,field:"unet"},destination:{node_id:Cs,field:"unet"}},{source:{node_id:Vu,field:"vae"},destination:{node_id:Cs,field:"vae"}},{source:{node_id:Cs,field:"unet"},destination:{node_id:Vs,field:"unet"}})):t.edges.push({source:{node_id:Vu,field:"unet"},destination:{node_id:Vs,field:"unet"}}),t.edges.push({source:{node_id:Vu,field:"clip2"},destination:{node_id:Jy,field:"clip2"}},{source:{node_id:Vu,field:"clip2"},destination:{node_id:e0,field:"clip2"}},{source:{node_id:Jy,field:"conditioning"},destination:{node_id:Vs,field:"positive_conditioning"}},{source:{node_id:e0,field:"conditioning"},destination:{node_id:Vs,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:Vs,field:"latents"}}),(t.id===Nc||t.id===Dc)&&(t.nodes[$a]={type:"create_denoise_mask",id:$a,is_intermediate:!0,fp32:b},_?t.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:$a,field:"image"}}):t.nodes[$a]={...t.nodes[$a],image:i},t.edges.push({source:{node_id:_?$n:mi,field:"image"},destination:{node_id:$a,field:"mask"}},{source:{node_id:$a,field:"denoise_mask"},destination:{node_id:Vs,field:"denoise_mask"}})),t.id===RS||t.id===Vg?t.edges.push({source:{node_id:Vs,field:"latents"},destination:{node_id:_?qe:me,field:"latents"}}):t.edges.push({source:{node_id:Vs,field:"latents"},destination:{node_id:qe,field:"latents"}})},owe=(e,t)=>{const n=pe("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:v}=e.sdxl,{width:g,height:y}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:x}=e.canvas,E=u==="fp32",A=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let T=Oi;const k=f?d:Ls.shouldUseCpuNoise,{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:N}=td(e,v),C={id:Vg,nodes:{[T]:{type:"sdxl_model_loader",id:T,model:o},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:r,style:L},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:i,style:N},[we]:{type:"noise",id:we,is_intermediate:!0,use_cpu:k,width:A?S.width:g,height:A?S.height:y},[Dn]:{type:"i2l",id:Dn,is_intermediate:!0,fp32:E},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Dn,field:"latents"},destination:{node_id:Re,field:"latents"}}]};return A?(C.nodes[pf]={id:pf,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},C.nodes[qe]={id:qe,type:"l2i",is_intermediate:!0,fp32:E},C.nodes[me]={id:me,type:"img_resize",is_intermediate:!x,width:g,height:y},C.edges.push({source:{node_id:pf,field:"image"},destination:{node_id:Dn,field:"image"}},{source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(C.nodes[me]={type:"l2i",id:me,is_intermediate:!x,fp32:E},C.nodes[Dn].image=t,C.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),C.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:A?S.width:g,height:A?S.height:y,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:k?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},C.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(h||p)&&(us(e,C,T),T=$r),m&&(mh(e,C,Re,T),(h||p)&&(T=Cs)),cs(e,C,T),gh(e,C,Re,T),Du(e,C),as(e,C,Re),e.system.shouldUseNSFWChecker&&ls(e,C,me),e.system.shouldUseWatermarker&&ds(e,C,me),C},swe=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceMode:v,canvasCoherenceSteps:g,canvasCoherenceStrength:y,seamlessXAxis:S,seamlessYAxis:w}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:E,refinerStart:A,shouldConcatSDXLStylePrompt:T}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:k,height:L}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:N,boundingBoxScaleMethod:C,shouldAutoSave:P}=e.canvas,D=h==="fp32",B=["auto","manual"].includes(C);let R=Oi;const O=m,{craftedPositiveStylePrompt:I,craftedNegativeStylePrompt:F}=td(e,T),U={id:Nc,nodes:{[R]:{type:"sdxl_model_loader",id:R,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:I},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:F},[Ri]:{type:"img_blur",id:Ri,is_intermediate:!0,radius:b,blur_type:_},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:D},[we]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:D},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:E?Math.min(A,1-x):1-x,denoising_end:E?A:1},[gn]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-y,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:D},[me]:{type:"color_correct",id:me,is_intermediate:!P,reference:t},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:c,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:R,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(B){const V=N.width,H=N.height;U.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:V,height:H,image:t},U.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:V,height:H,image:n},U.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:k,height:L},U.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},U.nodes[we].width=V,U.nodes[we].height=H,U.nodes[gn].width=V,U.nodes[gn].height=H,U.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Ri,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else U.nodes[we].width=k,U.nodes[we].height=L,U.nodes[gn].width=k,U.nodes[gn].height=L,U.nodes[Bn]={...U.nodes[Bn],image:t},U.nodes[Ri]={...U.nodes[Ri],image:n},U.nodes[Ln]={...U.nodes[Ln],image:t},U.edges.push({source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:me,field:"mask"}});if(v!=="unmasked"&&(U.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:D},B?U.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Nt,field:"image"}}):U.nodes[Nt]={...U.nodes[Nt],image:t},v==="mask"&&(B?U.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):U.nodes[Nt]={...U.nodes[Nt],mask:n}),v==="edge"&&(U.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},B?U.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):U.nodes[lr]={...U.nodes[lr],image:n},U.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),U.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:yt,field:"denoise_mask"}})),f){const V={id:Dr,type:"rand_int"};U.nodes[Dr]=V,U.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else U.nodes[Wn].start=d;return(S||w)&&(us(e,U,R),R=$r),E&&(mh(e,U,yt,R,t),(S||w)&&(R=Cs)),cs(e,U,R),gh(e,U,Re,R),as(e,U,Re),e.system.shouldUseNSFWChecker&&ls(e,U,me),e.system.shouldUseWatermarker&&ds(e,U,me),U},awe=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,canvasCoherenceMode:_,canvasCoherenceSteps:v,canvasCoherenceStrength:g,infillTileSize:y,infillPatchmatchDownscaleSize:S,infillMethod:w,seamlessXAxis:x,seamlessYAxis:E}=e.generation,{sdxlImg2ImgDenoisingStrength:A,shouldUseSDXLRefiner:T,refinerStart:k,shouldConcatSDXLStylePrompt:L}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in 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F=m,{craftedPositiveStylePrompt:U,craftedNegativeStylePrompt:V}=td(e,L),H={id:Dc,nodes:{[Oi]:{type:"sdxl_model_loader",id:Oi,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:U},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:V},[gf]:{type:"tomask",id:gf,is_intermediate:!0,image:t},[mi]:{type:"mask_combine",id:mi,is_intermediate:!0,mask2:n},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:R},[we]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:R},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:T?Math.min(k,1-A):1-A,denoising_end:T?k:1},[gn]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[yt]:{type:"denoise_latents",id:yt,is_intermediate:!0,steps:v,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:R},[me]:{type:"color_correct",id:me,is_intermediate:!B},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:c,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:Oi,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:Oi,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Oi,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:Oi,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Oi,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:gf,field:"image"},destination:{node_id:mi,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:O?$n:mi,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:I,field:"unet"},destination:{node_id:yt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:yt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:yt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:yt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:yt,field:"latents"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:yt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(w==="patchmatch"&&(H.nodes[Bt]={type:"infill_patchmatch",id:Bt,is_intermediate:!0,downscale:S}),w==="lama"&&(H.nodes[Bt]={type:"infill_lama",id:Bt,is_intermediate:!0}),w==="cv2"&&(H.nodes[Bt]={type:"infill_cv2",id:Bt,is_intermediate:!0}),w==="tile"&&(H.nodes[Bt]={type:"infill_tile",id:Bt,is_intermediate:!0,tile_size:y}),O){const Y=P.width,Q=P.height;H.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:Y,height:Q,image:t},H.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:Y,height:Q},H.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:N,height:C},H.nodes[Gl]={type:"img_resize",id:Gl,is_intermediate:!0,width:N,height:C},H.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:N,height:C},H.nodes[we].width=Y,H.nodes[we].height=Q,H.nodes[gn].width=Y,H.nodes[gn].height=Q,H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bt,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Gl,field:"image"}},{source:{node_id:Gl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else H.nodes[Bt]={...H.nodes[Bt],image:t},H.nodes[we].width=N,H.nodes[we].height=C,H.nodes[gn].width=N,H.nodes[gn].height=C,H.nodes[Bn]={...H.nodes[Bn],image:t},H.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:me,field:"mask"}});if(_!=="unmasked"&&(H.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:R},H.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:Nt,field:"image"}}),_==="mask"&&(O?H.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):H.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:Nt,field:"mask"}})),_==="edge"&&(H.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},O?H.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):H.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:lr,field:"image"}}),H.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),H.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:yt,field:"denoise_mask"}})),f){const Y={id:Dr,type:"rand_int"};H.nodes[Dr]=Y,H.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else H.nodes[Wn].start=d;return(x||E)&&(us(e,H,I),I=$r),T&&(mh(e,H,yt,I,t),(x||E)&&(I=Cs)),cs(e,H,I),gh(e,H,Re,I),as(e,H,Re),e.system.shouldUseNSFWChecker&&ls(e,H,me),e.system.shouldUseWatermarker&&ds(e,H,me),H},lwe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:v}=e.canvas,g=l==="fp32",y=["auto","manual"].includes(_),{shouldUseSDXLRefiner:S,refinerStart:w,shouldConcatSDXLStylePrompt:x}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const E=d?c:Ls.shouldUseCpuNoise,A=i.model_type==="onnx";let T=A?AS:Oi;const k=A?"onnx_model_loader":"sdxl_model_loader",L=A?{type:"t2l_onnx",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:S?w:1},{craftedPositiveStylePrompt:N,craftedNegativeStylePrompt:C}=td(e,x),P={id:RS,nodes:{[T]:{type:k,id:T,is_intermediate:!0,model:i},[Be]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Be,is_intermediate:!0,prompt:n,style:N},[Ve]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Ve,is_intermediate:!0,prompt:r,style:C},[we]:{type:"noise",id:we,is_intermediate:!0,width:y?b.width:p,height:y?b.height:m,use_cpu:E},[L.id]:L},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}}]};return y?(P.nodes[qe]={id:qe,type:A?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},P.nodes[me]={id:me,type:"img_resize",is_intermediate:!v,width:p,height:m},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(P.nodes[me]={type:A?"l2i_onnx":"l2i",id:me,is_intermediate:!v,fp32:g},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),P.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:y?b.width:p,height:y?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:E?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},P.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(f||h)&&(us(e,P,T),T=$r),S&&(mh(e,P,Re,T),(f||h)&&(T=Cs)),gh(e,P,Re,T),cs(e,P,T),Du(e,P),as(e,P,Re),e.system.shouldUseNSFWChecker&&ls(e,P,me),e.system.shouldUseWatermarker&&ds(e,P,me),P},uwe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:v}=e.canvas,g=l==="fp32",y=["auto","manual"].includes(_);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const S=d?c:Ls.shouldUseCpuNoise,w=i.model_type==="onnx";let x=w?AS:Nu;const E=w?"onnx_model_loader":"main_model_loader",A=w?{type:"t2l_onnx",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},T={id:Iz,nodes:{[x]:{type:E,id:x,is_intermediate:!0,model:i},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:u},[Be]:{type:w?"prompt_onnx":"compel",id:Be,is_intermediate:!0,prompt:n},[Ve]:{type:w?"prompt_onnx":"compel",id:Ve,is_intermediate:!0,prompt:r},[we]:{type:"noise",id:we,is_intermediate:!0,width:y?b.width:p,height:y?b.height:m,use_cpu:S},[A.id]:A},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}}]};return y?(T.nodes[qe]={id:qe,type:w?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},T.nodes[me]={id:me,type:"img_resize",is_intermediate:!v,width:p,height:m},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(T.nodes[me]={type:w?"l2i_onnx":"l2i",id:me,is_intermediate:!v,fp32:g},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:me,field:"latents"}})),T.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:y?b.width:p,height:y?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 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this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=Wz()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!i0}}class dxe extends zT{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=Kwe(Number.MAX_SAFE_INTEGER,this.socket.binaryType),r=t.readable.pipeThrough(n).getReader(),i=Wwe();i.readable.pipeTo(t.writable),this.writer=i.writable.getWriter();const o=()=>{r.read().then(({done:a,value:l})=>{a||(this.onPacket(l),o())}).catch(a=>{})};o();const s={type:"open"};this.query.sid&&(s.data=`{"sid":"${this.query.sid}"}`),this.writer.write(s).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;this.writer.write(r).then(()=>{i&&UT(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const fxe={websocket:cxe,webtransport:dxe,polling:lxe},hxe=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,pxe=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function c3(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=hxe.exec(e||""),o={},s=14;for(;s--;)o[pxe[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=gxe(o,o.path),o.queryKey=mxe(o,o.query),o}function gxe(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function mxe(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Qz=class kd extends kr{constructor(t,n={}){super(),this.binaryType=uxe,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=c3(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=c3(n.host).host),OS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=nxe(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Gz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new fxe[t](r)}open(){let t;if(this.opts.rememberUpgrade&&kd.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;kd.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;kd.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",kd.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),this.resetPingTimeout(),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=Jwe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){kd.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Qz.protocol=Gz;function yxe(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=c3(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const vxe=typeof ArrayBuffer=="function",_xe=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,Yz=Object.prototype.toString,bxe=typeof Blob=="function"||typeof Blob<"u"&&Yz.call(Blob)==="[object BlobConstructor]",Sxe=typeof File=="function"||typeof File<"u"&&Yz.call(File)==="[object FileConstructor]";function jT(e){return vxe&&(e instanceof ArrayBuffer||_xe(e))||bxe&&e instanceof Blob||Sxe&&e instanceof File}function j0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(j0(e[n]))return!0;return!1}if(jT(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return j0(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&j0(e[n]))return!0;return!1}function wxe(e){const t=[],n=e.data,r=e;return r.data=d3(n,t),r.attachments=t.length,{packet:r,buffers:t}}function d3(e,t){if(!e)return e;if(jT(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=d3(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=d3(e[r],t));return n}return e}function xxe(e,t){return e.data=f3(e.data,t),delete e.attachments,e}function f3(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=f3(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=f3(e[n],t));return e}const Cxe=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],Exe=5;var It;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(It||(It={}));class Txe{constructor(t){this.replacer=t}encode(t){return(t.type===It.EVENT||t.type===It.ACK)&&j0(t)?this.encodeAsBinary({type:t.type===It.EVENT?It.BINARY_EVENT:It.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===It.BINARY_EVENT||t.type===It.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=wxe(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function FR(e){return Object.prototype.toString.call(e)==="[object Object]"}class VT extends kr{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===It.BINARY_EVENT;r||n.type===It.BINARY_ACK?(n.type=r?It.EVENT:It.ACK,this.reconstructor=new Axe(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(jT(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(It[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===It.BINARY_EVENT||r.type===It.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(VT.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case It.CONNECT:return FR(n);case It.DISCONNECT:return n===void 0;case It.CONNECT_ERROR:return typeof n=="string"||FR(n);case It.EVENT:case It.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&Cxe.indexOf(n[0])===-1);case It.ACK:case It.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class Axe{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=xxe(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const kxe=Object.freeze(Object.defineProperty({__proto__:null,Decoder:VT,Encoder:Txe,get PacketType(){return It},protocol:Exe},Symbol.toStringTag,{value:"Module"}));function _s(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const Pxe=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Zz extends kr{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[_s(t,"open",this.onopen.bind(this)),_s(t,"packet",this.onpacket.bind(this)),_s(t,"error",this.onerror.bind(this)),_s(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(Pxe.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:It.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:It.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case It.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case It.EVENT:case It.BINARY_EVENT:this.onevent(t);break;case It.ACK:case It.BINARY_ACK:this.onack(t);break;case It.DISCONNECT:this.ondisconnect();break;case It.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:It.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:It.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return 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0:t()){this.id=N4e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Yu.totalNodes=Yu.resolvedTargetDeltas=Yu.recalculatedProjection=0,this.nodes.forEach($4e),this.nodes.forEach(j4e),this.nodes.forEach(V4e),this.nodes.forEach(F4e),O4e(Yu)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new P4e)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new S4),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=I4e(s),this.instance=s;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=R4e(f,250),Q0.hasAnimatedSinceResize&&(Q0.hasAnimatedSinceResize=!1,this.nodes.forEach(ZO))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||K4e,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),v=!this.targetLayout||!Lj(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(v||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const y={...Sj(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(y.delay=0,y.type=!1),this.startAnimation(y)}else f||ZO(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,ll(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(G4e),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(YO);return}this.isUpdating||this.nodes.forEach(z4e),this.isUpdating=!1,this.nodes.forEach(U4e),this.nodes.forEach(D4e),this.nodes.forEach(L4e),this.clearAllSnapshots();const a=performance.now();Pi.delta=bu(0,1e3/60,a-Pi.timestamp),Pi.timestamp=a,Pi.isProcessing=!0,Nw.update.process(Pi),Nw.preRender.process(Pi),Nw.render.process(Pi),Pi.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(B4e),this.sharedNodes.forEach(H4e)}scheduleUpdateProjection(){En.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){En.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Er(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Dj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;s&&(a||Qu(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),X4e(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Er();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(Ol(a.x,l.offset.x),Ol(a.y,l.offset.y)),a}removeElementScroll(s){const a=Er();Vo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){Vo(a,s);const{scroll:f}=this.root;f&&(Ol(a.x,-f.offset.x),Ol(a.y,-f.offset.y))}Ol(a.x,c.offset.x),Ol(a.y,c.offset.y)}}return a}applyTransform(s,a=!1){const l=Er();Vo(l,s);for(let u=0;u<this.path.length;u++){const c=this.path[u];!a&&c.options.layoutScroll&&c.scroll&&c!==c.root&&Wd(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),Qu(c.latestValues)&&Wd(l,c.latestValues)}return Qu(this.latestValues)&&Wd(l,this.latestValues),l}removeTransform(s){const a=Er();Vo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Qu(u.latestValues))continue;I3(u.latestValues)&&u.updateSnapshot();const c=Er(),d=u.measurePageBox();Vo(c,d),HO(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return Qu(this.latestValues)&&HO(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Pi.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=Pi.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Er(),this.relativeTargetOrigin=Er(),kp(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),Vo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Er(),this.targetWithTransforms=Er()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),QTe(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):Vo(this.target,this.layout.layoutBox),Rj(this.target,this.targetDelta)):Vo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Er(),this.relativeTargetOrigin=Er(),kp(this.relativeTargetOrigin,this.target,h.target),Vo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Yu.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||I3(this.parent.latestValues)||Pj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===Pi.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;Vo(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;o4e(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:p}=a;if(!p){this.projectionTransform&&(this.projectionDelta=qd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=qd(),this.projectionDeltaWithTransform=qd());const m=this.projectionTransform;Ap(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=KO(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Yu.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=qd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const f=Er(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,b=this.getStack(),_=!b||b.members.length<=1,v=!!(m&&!_&&this.options.crossfade===!0&&!this.path.some(W4e));this.animationProgress=0;let g;this.mixTargetDelta=y=>{const S=y/1e3;JO(d.x,s.x,S),JO(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(kp(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),q4e(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&T4e(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=Er()),Vo(g,this.relativeTarget)),m&&(this.animationValues=c,b4e(c,u,this.latestValues,S,v,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(ll(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=En.update(()=>{Q0.hasAnimatedSinceResize=!0,this.currentAnimation=M4e(0,QO,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(QO),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Fj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Er();const d=Do(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=Do(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}Vo(a,l),Wd(a,c),Ap(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new A4e),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c<XO.length;c++){const d="rotate"+XO[c];l[d]&&(u[d]=l[d],s.setStaticValue(d,0))}s.render();for(const c in u)s.setStaticValue(c,u[c]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=X0(s.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=X0(s.pointerEvents)||""),this.hasProjected&&!Qu(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=KO(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(a=f.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in I1){if(f[m]===void 0)continue;const{correct:b,applyTo:_}=I1[m],v=u.transform==="none"?f[m]:b(f[m],d);if(_){const g=_.length;for(let y=0;y<g;y++)u[_[y]]=v}else u[m]=v}return this.options.layoutId&&(u.pointerEvents=d===this?X0(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(YO),this.root.sharedNodes.clear()}}}function D4e(e){e.updateLayout()}function L4e(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Do(f);f.min=r[d].min,f.max=f.min+h}):Fj(o,n.layoutBox,r)&&qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Do(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=qd();Ap(a,r,n.layoutBox);const l=qd();s?Ap(l,e.applyTransform(i,!0),n.measuredBox):Ap(l,r,n.layoutBox);const u=!Dj(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=Er();kp(p,n.layoutBox,f.layoutBox);const m=Er();kp(m,r,h.layoutBox),Lj(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function $4e(e){Yu.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function F4e(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function B4e(e){e.clearSnapshot()}function YO(e){e.clearMeasurements()}function z4e(e){e.isLayoutDirty=!1}function U4e(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function ZO(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function j4e(e){e.resolveTargetDelta()}function V4e(e){e.calcProjection()}function G4e(e){e.resetRotation()}function H4e(e){e.removeLeadSnapshot()}function 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0},Bj=$j({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!Hw.current){const e=new Q4e({});e.mount(window),e.setOptions({layoutScroll:!0}),Hw.current=e}return Hw.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),Y4e={pan:{Feature:h4e},drag:{Feature:f4e,ProjectionNode:Bj,MeasureLayout:Ij}},Z4e=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function J4e(e){const t=Z4e.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function N3(e,t,n=1){const[r,i]=J4e(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);if(o){const s=o.trim();return wj(s)?parseFloat(s):s}else return x3(i)?N3(i,t,n+1):i}function eAe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!x3(o))return;const s=N3(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!x3(o))continue;const 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+            width: ${o}px !important;
+            height: ${s}px !important;
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+            left: ${l}px !important;
+          }
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k=m.scrollTop+f.y,L=b===xn.Down&&k<=S.y||b===xn.Up&&k>=w.y;if(L&&!f.x){m.scrollTo({top:k,behavior:a});return}L?h.y=m.scrollTop-k:h.y=b===xn.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,vf(H1(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}hV.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=fV,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function vI(e){return!!(e&&"distance"in e)}function _I(e){return!!(e&&"delay"in e)}class P4{constructor(t,n,r){var i;r===void 0&&(r=Hke(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=bh(s),this.documentListeners=new Pp(this.document),this.listeners=new Pp(r),this.windowListeners=new Pp(Ji(s)),this.initialCoordinates=(i=em(o))!=null?i:Ds,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(Ho.Resize,this.handleCancel),this.windowListeners.add(Ho.DragStart,yI),this.windowListeners.add(Ho.VisibilityChange,this.handleCancel),this.windowListeners.add(Ho.ContextMenu,yI),this.documentListeners.add(Ho.Keydown,this.handleKeydown),n){if(vI(n))return;if(_I(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(Ho.Click,qke,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Ho.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=em(t))!=null?n:Ds,u=H1(i,l);if(!r&&a){if(_I(a))return Xw(u,a.tolerance)?this.handleCancel():void 0;if(vI(a))return a.tolerance!=null&&Xw(u,a.tolerance)?this.handleCancel():Xw(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===xn.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const Kke={move:{name:"pointermove"},end:{name:"pointerup"}};class pV extends P4{constructor(t){const{event:n}=t,r=bh(n.target);super(t,Kke,r)}}pV.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const Xke={move:{name:"mousemove"},end:{name:"mouseup"}};var G3;(function(e){e[e.RightClick=2]="RightClick"})(G3||(G3={}));class gV extends P4{constructor(t){super(t,Xke,bh(t.event.target))}}gV.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===G3.RightClick?!1:(r==null||r({event:n}),!0)}}];const Qw={move:{name:"touchmove"},end:{name:"touchend"}};class mV extends P4{constructor(t){super(t,Qw)}static setup(){return window.addEventListener(Qw.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(Qw.move.name,t)};function t(){}}}mV.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Rp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Rp||(Rp={}));var W1;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(W1||(W1={}));function Qke(e){let{acceleration:t,activator:n=Rp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=W1.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=Zke({delta:d,disabled:!o}),[p,m]=ske(),b=M.useRef({x:0,y:0}),_=M.useRef({x:0,y:0}),v=M.useMemo(()=>{switch(n){case Rp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Rp.DraggableRect:return i}},[n,i,l]),g=M.useRef(null),y=M.useCallback(()=>{const w=g.current;if(!w)return;const x=b.current.x*_.current.x,E=b.current.y*_.current.y;w.scrollBy(x,E)},[]),S=M.useMemo(()=>a===W1.TreeOrder?[...u].reverse():u,[a,u]);M.useEffect(()=>{if(!o||!u.length||!v){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),E=c[x];if(!E)continue;const{direction:A,speed:T}=zke(w,E,v,t,f);for(const k of["x","y"])h[k][A[k]]||(T[k]=0,A[k]=0);if(T.x>0||T.y>0){m(),g.current=w,p(y,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,y,r,m,o,s,JSON.stringify(v),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const Yke={x:{[Jr.Backward]:!1,[Jr.Forward]:!1},y:{[Jr.Backward]:!1,[Jr.Forward]:!1}};function Zke(e){let{delta:t,disabled:n}=e;const r=G1(t);return Xm(i=>{if(n||!r||!i)return Yke;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[Jr.Backward]:i.x[Jr.Backward]||o.x===-1,[Jr.Forward]:i.x[Jr.Forward]||o.x===1},y:{[Jr.Backward]:i.y[Jr.Backward]||o.y===-1,[Jr.Forward]:i.y[Jr.Forward]||o.y===1}}},[n,t,r])}function Jke(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Xm(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function ePe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var nm;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(nm||(nm={}));var H3;(function(e){e.Optimized="optimized"})(H3||(H3={}));const bI=new Map;function tPe(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=M.useState(null),{frequency:a,measure:l,strategy:u}=i,c=M.useRef(e),d=b(),f=Jg(d),h=M.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(v=>v===null?_:v.concat(_.filter(g=>!v.includes(g))))},[f]),p=M.useRef(null),m=Xm(_=>{if(d&&!n)return bI;if(!_||_===bI||c.current!==e||o!=null){const v=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){v.set(g.id,g.rect.current);continue}const y=g.node.current,S=y?new k4(l(y),y):null;g.rect.current=S,S&&v.set(g.id,S)}return v}return _},[e,o,n,d,l]);return M.useEffect(()=>{c.current=e},[e]),M.useEffect(()=>{d||h()},[n,d]),M.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),M.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case nm.Always:return!1;case nm.BeforeDragging:return n;default:return!n}}}function R4(e,t){return Xm(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function nPe(e,t){return R4(e,t)}function rPe(e){let{callback:t,disabled:n}=e;const r=HS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function WS(e){let{callback:t,disabled:n}=e;const r=HS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function iPe(e){return new k4(Qm(e),e)}function SI(e,t,n){t===void 0&&(t=iPe);const[r,i]=M.useReducer(a,null),o=rPe({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=WS({callback:i});return va(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function oPe(e){const t=R4(e);return rV(e,t)}const wI=[];function sPe(e){const t=M.useRef(e),n=Xm(r=>e?r&&r!==wI&&e&&t.current&&e.parentNode===t.current.parentNode?r:A4(e):wI,[e]);return M.useEffect(()=>{t.current=e},[e]),n}function aPe(e){const[t,n]=M.useState(null),r=M.useRef(e),i=M.useCallback(o=>{const s=Kw(o.target);s&&n(a=>a?(a.set(s,V3(s)),new Map(a)):null)},[]);return M.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=Kw(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,V3(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=Kw(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),M.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>vf(o,s),Ds):cV(e):Ds,[e,t])}function xI(e,t){t===void 0&&(t=[]);const n=M.useRef(null);return M.useEffect(()=>{n.current=null},t),M.useEffect(()=>{const r=e!==Ds;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?H1(e,n.current):Ds}function lPe(e){M.useEffect(()=>{if(!GS)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function uPe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function yV(e){return M.useMemo(()=>e?Lke(e):null,[e])}const Yw=[];function cPe(e,t){t===void 0&&(t=Qm);const[n]=e,r=yV(n?Ji(n):null),[i,o]=M.useReducer(a,Yw),s=WS({callback:o});return e.length>0&&i===Yw&&o(),va(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>lV(l)?r:new k4(t(l),l)):Yw}}function vV(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Km(t)?t:e}function dPe(e){let{measure:t}=e;const[n,r]=M.useState(null),i=M.useCallback(u=>{for(const{target:c}of u)if(Km(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=WS({callback:i}),s=M.useCallback(u=>{const c=vV(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=V1(s);return M.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const fPe=[{sensor:pV,options:{}},{sensor:hV,options:{}}],hPe={current:{}},Y0={draggable:{measure:mI},droppable:{measure:mI,strategy:nm.WhileDragging,frequency:H3.Optimized},dragOverlay:{measure:Qm}};class Op extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const pPe={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Op,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:q1},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Y0,measureDroppableContainers:q1,windowRect:null,measuringScheduled:!1},_V={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:q1,draggableNodes:new Map,over:null,measureDroppableContainers:q1},Ym=M.createContext(_V),bV=M.createContext(pPe);function gPe(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new Op}}}function mPe(e,t){switch(t.type){case Lr.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case Lr.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case Lr.DragEnd:case Lr.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case Lr.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new Op(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case Lr.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const s=new Op(e.droppable.containers);return s.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:s}}}case Lr.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new Op(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function yPe(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=M.useContext(Ym),o=G1(r),s=G1(n==null?void 0:n.id);return M.useEffect(()=>{if(!t&&!r&&o&&s!=null){if(!T4(o)||document.activeElement===o.target)return;const a=i.get(s);if(!a)return;const{activatorNode:l,node:u}=a;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=uke(c);if(d){d.focus();break}}})}},[r,t,i,s,o]),null}function SV(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function vPe(e){return M.useMemo(()=>({draggable:{...Y0.draggable,...e==null?void 0:e.draggable},droppable:{...Y0.droppable,...e==null?void 0:e.droppable},dragOverlay:{...Y0.dragOverlay,...e==null?void 0:e.dragOverlay}}),[e==null?void 0:e.draggable,e==null?void 0:e.droppable,e==null?void 0:e.dragOverlay])}function _Pe(e){let{activeNode:t,measure:n,initialRect:r,config:i=!0}=e;const o=M.useRef(!1),{x:s,y:a}=typeof i=="boolean"?{x:i,y:i}:i;va(()=>{if(!s&&!a||!t){o.current=!1;return}if(o.current||!r)return;const u=t==null?void 0:t.node.current;if(!u||u.isConnected===!1)return;const c=n(u),d=rV(c,r);if(s||(d.x=0),a||(d.y=0),o.current=!0,Math.abs(d.x)>0||Math.abs(d.y)>0){const f=oV(u);f&&f.scrollBy({top:d.y,left:d.x})}},[t,s,a,r,n])}const KS=M.createContext({...Ds,scaleX:1,scaleY:1});var Il;(function(e){e[e.Uninitialized=0]="Uninitialized",e[e.Initializing=1]="Initializing",e[e.Initialized=2]="Initialized"})(Il||(Il={}));const bPe=M.memo(function(t){var n,r,i,o;let{id:s,accessibility:a,autoScroll:l=!0,children:u,sensors:c=fPe,collisionDetection:d=kke,measuring:f,modifiers:h,...p}=t;const m=M.useReducer(mPe,void 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ie=SI(Q,U.draggable.measure,ee),ge=SI(Q?Q.parentElement:null),ae=M.useRef({activatorEvent:null,active:null,activeNode:Q,collisionRect:null,collisions:null,droppableRects:V,draggableNodes:E,draggingNode:null,draggingNodeRect:null,droppableContainers:T,over:null,scrollableAncestors:[],scrollAdjustedTranslate:null}),dt=T.getNodeFor((n=ae.current.over)==null?void 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diff --git a/invokeai/frontend/web/dist/assets/menu-0be27786.js b/invokeai/frontend/web/dist/assets/menu-ae65a4ab.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/menu-0be27786.js
rename to invokeai/frontend/web/dist/assets/menu-ae65a4ab.js
index 2fdc7c0f59..30cb2e7dd9 100644
--- a/invokeai/frontend/web/dist/assets/menu-0be27786.js
+++ b/invokeai/frontend/web/dist/assets/menu-ae65a4ab.js
@@ -1 +1 @@
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l.globalStyles=="function"&&A.createElement(B,{styles:l.globalStyles(l)}),s))}Er.displayName="@mantine/core/MantineProvider";const{definePartsStyle:Nr,defineMultiStyleConfig:$r}=Xe(at.keys),Tr=Nr(e=>({button:{fontWeight:500,bg:P("base.300","base.500")(e),color:P("base.900","base.100")(e),_hover:{bg:P("base.400","base.600")(e),color:P("base.900","base.50")(e),fontWeight:600}},list:{zIndex:9999,color:P("base.900","base.150")(e),bg:P("base.200","base.800")(e),shadow:"dark-lg",border:"none"},item:{fontSize:"sm",bg:P("base.200","base.800")(e),_hover:{bg:P("base.300","base.700")(e),svg:{opacity:1}},_focus:{bg:P("base.400","base.600")(e)},svg:{opacity:.7,fontSize:14}}})),mn=$r({variants:{invokeAI:Tr},defaultProps:{variant:"invokeAI"}}),gn={variants:{enter:{visibility:"visible",opacity:1,scale:1,transition:{duration:.07,ease:[.4,0,.2,1]}},exit:{transitionEnd:{visibility:"hidden"},opacity:0,scale:.8,transition:{duration:.07,easings:"easeOut"}}}};export{on as A,Yr as B,Te as C,Gr as D,at as E,Ur as F,Vr as G,Zr as H,L as I,Fr as J,Hr as K,Wr as L,Dr as M,Mr as N,nn as O,G as P,Or as Q,zr as R,Rr as S,Qe as T,sn as U,cn as V,mn as W,Er as X,M as a,ct as b,an as c,ne as d,un as e,fn as f,He as g,dn as h,_r as i,W as j,Le as k,pn as l,gn as m,P as n,tn as o,rn as p,Br as q,E as r,Qr as s,en as t,ln as u,qr as v,Lr as w,Xr as x,Kr as y,Jr as z};
diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index e8e2b5614b..2994525bf6 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-221b61a5.js"></script>
+    <script type="module" crossorigin src="./assets/index-a548858c.js"></script>
   </head>
 
   <body dir="ltr">

From 34a09cb4ca3b3fe05a4569a627e98161a2bea066 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 15 Sep 2023 10:17:21 +1000
Subject: [PATCH 149/265] fix(ui): fix send to canvas crash

A few weeks back, we changed how the canvas scales in response to changes in window/panel size.

This introduced a bug where if we the user hadn't already clicked the canvas tab once to initialize the stage elements, the stage's dimensions were zero, then the calculation of the stage's scale ends up zero, then something is divided by that zero and Konva dies.

This is only a problem on Chromium browsers - somehow Firefox handles it gracefully.

Now, when calculating the stage scale, never return a 0 - if it's a zero, return 1 instead. This is enough to fix the crash, but the image ends up centered on the top-left corner of the stage (the origin of the canvas).

Because the canvas elements are not initialized at this point (we haven't switched tabs yet), the stage dimensions fall back to (0,0). This means the center of the stage is also (0,0) - so the image is centered on (0,0), the top-left corner of the stage.

To fix this, we need to ensure we:
- Change to the canvas tab before actually setting the image, so the stage elements are able to initialize
- Use `flushSync` to flush DOM updates for this tab change so we actually have DOM elements to work with
- Update the stage dimensions once on first load of it (so in the effect that sets up the resize observer, we update the stage dimensions)

The result now is the expected behaviour - images sent to canvas do not crash and end up in the center of the canvas.
---
 .../web/src/features/canvas/components/IAICanvas.tsx         | 2 ++
 .../frontend/web/src/features/canvas/util/calculateScale.ts  | 2 +-
 .../components/ImageContextMenu/SingleSelectionMenuItems.tsx | 5 ++++-
 3 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx
index 4f9e47282d..4a67898942 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx
@@ -154,6 +154,8 @@ const IAICanvas = () => {
 
     resizeObserver.observe(containerRef.current);
 
+    dispatch(canvasResized(containerRef.current.getBoundingClientRect()));
+
     return () => {
       resizeObserver.disconnect();
     };
diff --git a/invokeai/frontend/web/src/features/canvas/util/calculateScale.ts b/invokeai/frontend/web/src/features/canvas/util/calculateScale.ts
index 954c36869c..255cb2850b 100644
--- a/invokeai/frontend/web/src/features/canvas/util/calculateScale.ts
+++ b/invokeai/frontend/web/src/features/canvas/util/calculateScale.ts
@@ -8,7 +8,7 @@ const calculateScale = (
   const scaleX = (containerWidth * padding) / contentWidth;
   const scaleY = (containerHeight * padding) / contentHeight;
   const scaleFit = Math.min(1, Math.min(scaleX, scaleY));
-  return scaleFit;
+  return scaleFit ? scaleFit : 1;
 };
 
 export default calculateScale;
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index e5b9d94578..c50b0c13dd 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -37,6 +37,7 @@ import {
 import { ImageDTO } from 'services/api/types';
 import { configSelector } from '../../../system/store/configSelectors';
 import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
+import { flushSync } from 'react-dom';
 
 type SingleSelectionMenuItemsProps = {
   imageDTO: ImageDTO;
@@ -115,8 +116,10 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
 
   const handleSendToCanvas = useCallback(() => {
     dispatch(sentImageToCanvas());
+    flushSync(() => {
+      dispatch(setActiveTab('unifiedCanvas'));
+    });
     dispatch(setInitialCanvasImage(imageDTO));
-    dispatch(setActiveTab('unifiedCanvas'));
 
     toaster({
       title: t('toast.sentToUnifiedCanvas'),

From 704e016f058e3e1108e8e269e246c75c777864d1 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 15 Sep 2023 11:33:57 +1000
Subject: [PATCH 150/265] feat(ui): disable immutable redux check

The immutable and serializable checks for redux can cause substantial performance issues. The immutable check in particular is pretty heavy. It's only run in dev mode, but this and really slow down the already-slower performance of dev mode.

The most important one for us is serializable, which has far less of a performance impact.

The immutable check is largely redundant because we use immer-backed RTK for everything and immer gives us confidence there.

Disable the immutable check, leaving serializable in.
---
 invokeai/frontend/web/src/app/store/store.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/app/store/store.ts b/invokeai/frontend/web/src/app/store/store.ts
index 29caa69cbe..f84f3dd9c7 100644
--- a/invokeai/frontend/web/src/app/store/store.ts
+++ b/invokeai/frontend/web/src/app/store/store.ts
@@ -86,7 +86,7 @@ export const store = configureStore({
       .concat(autoBatchEnhancer());
   },
   middleware: (getDefaultMiddleware) =>
-    getDefaultMiddleware()
+    getDefaultMiddleware({ immutableCheck: false })
       .concat(api.middleware)
       .concat(dynamicMiddlewares)
       .prepend(listenerMiddleware.middleware),

From 5a42774fbe098b1efdac79654c02b0826644f023 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 15 Sep 2023 12:04:38 +1000
Subject: [PATCH 151/265] Update FEATURE_REQUEST.yml

Added some verbiage about making feature requests singular and focused.

Updated the placeholder to something more Invoke-y.
---
 .github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml | 7 ++-----
 1 file changed, 2 insertions(+), 5 deletions(-)

diff --git a/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml b/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml
index c7e7f4bc87..6d43d447f4 100644
--- a/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml
+++ b/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.yml
@@ -34,12 +34,9 @@ body:
     id: whatisexpected
     attributes:
       label: What should this feature add?
-      description: Please try to explain the functionality this feature should add
+      description: Explain the functionality this feature should add. Feature requests should be for single features. Please create multiple requests if you want to request multiple features.
       placeholder: |
-        Instead of one huge text field, it would be nice to have forms for bug-reports, feature-requests, ...
-        Great benefits with automatic labeling, assigning and other functionalitys not available in that form
-        via old-fashioned markdown-templates. I would also love to see the use of a moderator bot 🤖 like
-        https://github.com/marketplace/actions/issue-moderator-with-commands to auto close old issues and other things
+        I'd like a button that creates an image of banana sushi every time I press it. Each image should be different. There should be a toggle next to the button that enables strawberry mode, in which the images are of strawberry sushi instead.
     validations:
       required: true
 

From 604fc006b15d9c3f3e5cedbc232e2b4907147f48 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 15 Sep 2023 12:24:53 +1000
Subject: [PATCH 152/265] fix(ui): construct openapi url from
 window.location.origin

---
 invokeai/frontend/web/src/services/api/thunks/schema.ts | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/services/api/thunks/schema.ts b/invokeai/frontend/web/src/services/api/thunks/schema.ts
index 7dc0bdc331..c209469e02 100644
--- a/invokeai/frontend/web/src/services/api/thunks/schema.ts
+++ b/invokeai/frontend/web/src/services/api/thunks/schema.ts
@@ -26,7 +26,8 @@ export const receivedOpenAPISchema = createAsyncThunk(
   'nodes/receivedOpenAPISchema',
   async (_, { rejectWithValue }) => {
     try {
-      const response = await fetch(`openapi.json`);
+      const url = [window.location.origin, 'openapi.json'].join('/');
+      const response = await fetch(url);
       const openAPISchema = await response.json();
 
       const schemaJSON = JSON.parse(

From 990ce9a1da33452fd44f2a7500fb993555328fb3 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 23:06:57 -0400
Subject: [PATCH 153/265] Lookup IP-Adapter linked image encoder from disk
 instead of storing in model config metadata.

---
 invokeai/app/invocations/ip_adapter.py        | 15 +++++++-
 invokeai/backend/ip_adapter/README.md         | 13 +++++--
 .../backend/model_management/model_probe.py   |  6 ++--
 .../model_management/models/ip_adapter.py     | 24 ++++++-------
 .../frontend/web/src/services/api/schema.d.ts | 34 +++++++++----------
 5 files changed, 53 insertions(+), 39 deletions(-)

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index 84183d8a06..9857054b47 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -1,3 +1,5 @@
+import os
+
 from pydantic import BaseModel, Field
 
 from invokeai.app.invocations.baseinvocation import (
@@ -14,6 +16,9 @@ from invokeai.app.invocations.baseinvocation import (
 )
 from invokeai.app.invocations.primitives import ImageField
 from invokeai.backend.model_management.models.base import BaseModelType, ModelType
+from invokeai.backend.model_management.models.ip_adapter import (
+    get_ip_adapter_image_encoder_model_id,
+)
 
 
 class IPAdapterModelField(BaseModel):
@@ -57,7 +62,15 @@ class IPAdapterInvocation(BaseInvocation):
         ip_adapter_info = context.services.model_manager.model_info(
             self.ip_adapter_model.model_name, self.ip_adapter_model.base_model, ModelType.IPAdapter
         )
-        image_encoder_model_name = ip_adapter_info["image_encoder_model"].split("/")[-1].strip()
+        # HACK(ryand): This is bad for a couple of reasons: 1) we are bypassing the model manager to read the model
+        # directly, and 2) we are reading from disk every time this invocation is called without caching the result.
+        # A better solution would be to store the image encoder model reference in the IP-Adapter model info, but this
+        # is currently messy due to differences between how the model info is generated when installing a model from
+        # disk vs. downloading the model.
+        image_encoder_model_id = get_ip_adapter_image_encoder_model_id(
+            os.path.join(context.services.configuration.get_config().models_path, ip_adapter_info["path"])
+        )
+        image_encoder_model_name = image_encoder_model_id.split("/")[-1].strip()
         image_encoder_model = CLIPVisionModelField(
             model_name=image_encoder_model_name,
             base_model=BaseModelType.Any,
diff --git a/invokeai/backend/ip_adapter/README.md b/invokeai/backend/ip_adapter/README.md
index 6ba18e7ade..c85acae498 100644
--- a/invokeai/backend/ip_adapter/README.md
+++ b/invokeai/backend/ip_adapter/README.md
@@ -31,6 +31,15 @@ ip_adapter_sd15/
 
 The weights in `ip_adapter.bin` are stored in a nested dict, which is not supported by `safetensors`. This could be solved by splitting `ip_adapter.bin` into multiple files, but for now we have decided to maintain consistency with the checkpoint structure used in the official [h94/IP-Adapter](https://huggingface.co/h94/IP-Adapter) repo.
 
-## InvokeAI-Hosted IP-Adapters
+## InvokeAI Hosted IP-Adapters
 
-TODO(ryand): Add list
+Image Encoders:
+- [InvokeAI/ip_adapter_sd_image_encoder](https://huggingface.co/InvokeAI/ip_adapter_sd_image_encoder)
+- [InvokeAI/ip_adapter_sdxl_image_encoder](https://huggingface.co/InvokeAI/ip_adapter_sdxl_image_encoder)
+
+IP-Adapters:
+- [InvokeAI/ip_adapter_sd15](https://huggingface.co/InvokeAI/ip_adapter_sd15)
+- [InvokeAI/ip_adapter_plus_sd15](https://huggingface.co/InvokeAI/ip_adapter_plus_sd15)
+- [InvokeAI/ip_adapter_plus_face_sd15](https://huggingface.co/InvokeAI/ip_adapter_plus_face_sd15)
+- [InvokeAI/ip_adapter_sdxl](https://huggingface.co/InvokeAI/ip_adapter_sdxl)
+- [InvokeAI/ip_adapter_sdxl_vit_h](https://huggingface.co/InvokeAI/ip_adapter_sdxl_vit_h)
\ No newline at end of file
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 046f596c1e..354ec0c675 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -511,9 +511,7 @@ class ControlNetFolderProbe(FolderProbeBase):
             else (
                 BaseModelType.StableDiffusion2
                 if dimension == 1024
-                else BaseModelType.StableDiffusionXL
-                if dimension == 2048
-                else None
+                else BaseModelType.StableDiffusionXL if dimension == 2048 else None
             )
         )
         if not base_model:
@@ -543,7 +541,7 @@ class IPAdapterFolderProbe(FolderProbeBase):
         if not model_file.exists():
             raise InvalidModelException("Unknown IP-Adapter model format.")
 
-        state_dict = torch.load(model_file)
+        state_dict = torch.load(model_file, map_location="cpu")
         cross_attention_dim = state_dict["ip_adapter"]["1.to_k_ip.weight"].shape[-1]
         if cross_attention_dim == 768:
             return BaseModelType.StableDiffusion1
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index 70f42ec2a9..208d5e7c4d 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -29,7 +29,6 @@ class IPAdapterModelFormat(str, Enum):
 class IPAdapterModel(ModelBase):
     class InvokeAIConfig(ModelConfigBase):
         model_format: Literal[IPAdapterModelFormat.InvokeAI]
-        image_encoder_model: str
 
     def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType):
         assert model_type == ModelType.IPAdapter
@@ -50,19 +49,6 @@ class IPAdapterModel(ModelBase):
 
         raise InvalidModelException(f"Unexpected IP-Adapter model format: {path}")
 
-    @classmethod
-    def probe_config(cls, path: str, **kwargs) -> ModelConfigBase:
-        image_encoder_config_file = os.path.join(path, "image_encoder.txt")
-
-        with open(image_encoder_config_file, "r") as f:
-            image_encoder_model = f.readline().strip()
-
-        return cls.create_config(
-            path=path,
-            model_format=cls.detect_format(path),
-            image_encoder_model=image_encoder_model,
-        )
-
     @classproperty
     def save_to_config(cls) -> bool:
         return True
@@ -98,3 +84,13 @@ class IPAdapterModel(ModelBase):
             return model_path
         else:
             raise ValueError(f"Unsupported format: '{format}'.")
+
+
+def get_ip_adapter_image_encoder_model_id(model_path: str):
+    """Read the ID of the image encoder associated with the IP-Adapter at `model_path`."""
+    image_encoder_config_file = os.path.join(model_path, "image_encoder.txt")
+
+    with open(image_encoder_config_file, "r") as f:
+        image_encoder_model = f.readline().strip()
+
+    return image_encoder_model
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 915c0c50ca..4252927b95 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -2549,8 +2549,6 @@ export type components = {
        */
       model_format: "invokeai";
       error?: components["schemas"]["ModelError"];
-      /** Image Encoder Model */
-      image_encoder_model: string;
     };
     /**
      * IPAdapterOutput
@@ -7262,17 +7260,29 @@ export type components = {
       ui_order?: number;
     };
     /**
-     * StableDiffusion2ModelFormat
+     * ControlNetModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionXLModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    /**
+     * IPAdapterModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    IPAdapterModelFormat: "invokeai";
     /**
      * StableDiffusion1ModelFormat
      * @description An enumeration.
@@ -7286,23 +7296,11 @@ export type components = {
      */
     CLIPVisionModelFormat: "diffusers";
     /**
-     * StableDiffusionXLModelFormat
+     * StableDiffusion2ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
-    /**
-     * IPAdapterModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    IPAdapterModelFormat: "invokeai";
-    /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;

From c1048072018ad100a1cd0587be1685afc3cb993b Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 23:43:19 -0400
Subject: [PATCH 154/265] Update list of supported IP-Adapters.

---
 invokeai/backend/ip_adapter/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/ip_adapter/README.md b/invokeai/backend/ip_adapter/README.md
index c85acae498..81b90d8e12 100644
--- a/invokeai/backend/ip_adapter/README.md
+++ b/invokeai/backend/ip_adapter/README.md
@@ -42,4 +42,4 @@ IP-Adapters:
 - [InvokeAI/ip_adapter_plus_sd15](https://huggingface.co/InvokeAI/ip_adapter_plus_sd15)
 - [InvokeAI/ip_adapter_plus_face_sd15](https://huggingface.co/InvokeAI/ip_adapter_plus_face_sd15)
 - [InvokeAI/ip_adapter_sdxl](https://huggingface.co/InvokeAI/ip_adapter_sdxl)
-- [InvokeAI/ip_adapter_sdxl_vit_h](https://huggingface.co/InvokeAI/ip_adapter_sdxl_vit_h)
\ No newline at end of file
+- Not yet supported: [InvokeAI/ip_adapter_sdxl_vit_h](https://huggingface.co/InvokeAI/ip_adapter_sdxl_vit_h)
\ No newline at end of file

From 16664da5b6689ae6cbd61e4fee932a00019acec8 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Thu, 14 Sep 2023 23:49:02 -0400
Subject: [PATCH 155/265] black

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

diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 354ec0c675..c9a55f3888 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -511,7 +511,9 @@ class ControlNetFolderProbe(FolderProbeBase):
             else (
                 BaseModelType.StableDiffusion2
                 if dimension == 1024
-                else BaseModelType.StableDiffusionXL if dimension == 2048 else None
+                else BaseModelType.StableDiffusionXL
+                if dimension == 2048
+                else None
             )
         )
         if not base_model:

From 74812511277b907360962d34b63e4cf53da54a08 Mon Sep 17 00:00:00 2001
From: mickr777 <mrandall7@bigpond.com>
Date: Fri, 15 Sep 2023 13:43:32 +1000
Subject: [PATCH 156/265] More Translations and Fixes

---
 invokeai/frontend/web/public/locales/en.json  |  34 +++-
 .../listeners/canvasCopiedToClipboard.ts      |   7 +-
 .../listeners/canvasDownloadedAsImage.ts      |   9 +-
 .../listeners/canvasImageToControlNet.ts      |   7 +-
 .../listeners/canvasMaskSavedToGallery.ts     |   7 +-
 .../listeners/canvasMaskToControlNet.ts       |   7 +-
 .../listeners/canvasMerged.ts                 |  11 +-
 .../listeners/canvasSavedToGallery.ts         |   7 +-
 .../listeners/imageUploaded.ts                |  17 +-
 .../listeners/modelSelected.ts                |   5 +-
 .../listeners/stagingAreaImageSaved.ts        |   5 +-
 .../listeners/workflowLoaded.ts               |   5 +-
 .../web/src/features/nodes/types/constants.ts | 162 +++++++++---------
 .../util/graphBuilders/buildCanvasGraph.ts    |   9 +-
 .../buildCanvasImageToImageGraph.ts           |   5 +-
 .../graphBuilders/buildCanvasInpaintGraph.ts  |   5 +-
 .../graphBuilders/buildCanvasOutpaintGraph.ts |   7 +-
 .../buildCanvasSDXLImageToImageGraph.ts       |   5 +-
 .../buildCanvasSDXLInpaintGraph.ts            |   5 +-
 .../buildCanvasSDXLOutpaintGraph.ts           |   5 +-
 .../buildCanvasSDXLTextToImageGraph.ts        |   5 +-
 .../buildCanvasTextToImageGraph.ts            |   5 +-
 .../buildLinearImageToImageGraph.ts           |  11 +-
 .../buildLinearSDXLImageToImageGraph.ts       |  11 +-
 .../buildLinearSDXLTextToImageGraph.ts        |   5 +-
 .../buildLinearTextToImageGraph.ts            |   5 +-
 26 files changed, 199 insertions(+), 167 deletions(-)

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 7faa10a889..d846f3ca47 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -721,7 +721,6 @@
         "noFieldType": "No field type",
         "noImageFoundState": "No initial image found in state",
         "noMatchingNodes": "No matching nodes",
-        "noModelFoundState": "No model found in state",
         "noNodeSelected": "No node selected",
         "noOpacity": "Node Opacity",
         "noOutputRecorded": "No outputs recorded",
@@ -964,8 +963,14 @@
         "useSlidersForAll": "Use Sliders For All Options"
     },
     "toast": {
+        "addedToBoard": "Added to board",
+        "baseModelChangedCleared": "Base model changed, cleared",
         "canceled": "Processing Canceled",
+        "canvasCopiedClipboard": "Canvas Copied to Clipboard",
+        "canvasDownloaded": "Canvas Downloaded",
         "canvasMerged": "Canvas Merged",
+        "canvasSavedGallery": "Canvas Saved to Gallery",
+        "canvasSentControlnetAssets": "Canvas Sent to ControlNet & Assets",
         "connected": "Connected to Server",
         "disconnected": "Disconnected from Server",
         "downloadImageStarted": "Image Download Started",
@@ -974,10 +979,18 @@
         "imageLinkCopied": "Image Link Copied",
         "imageNotLoaded": "No Image Loaded",
         "imageNotLoadedDesc": "Could not find image",
+        "imageSaved": "Image Saved",
         "imageSavedToGallery": "Image Saved to Gallery",
+        "imageSavingFailed": "Image Saving Failed",
+        "imageUploaded": "Image Uploaded",
+        "imageUploadFailed": "Image Upload Failed",
+        "incompatibleSubmodel": "incompatible submodel",
         "initialImageNotSet": "Initial Image Not Set",
         "initialImageNotSetDesc": "Could not load initial image",
         "initialImageSet": "Initial Image Set",
+        "loadedWithWarnings": "Workflow Loaded with Warnings",
+        "maskSavedAssets": "Mask Saved to Assets",
+        "maskSentControlnetAssets": "Mask Sent to ControlNet & Assets",
         "metadataLoadFailed": "Failed to load metadata",
         "modelAdded": "Model Added: {{modelName}}",
         "modelAddedSimple": "Model Added",
@@ -998,8 +1011,20 @@
         "parametersNotSet": "Parameters Not Set",
         "parametersNotSetDesc": "No metadata found for this image.",
         "parametersSet": "Parameters Set",
+        "problemCopyingCanvas": "Problem Copying Canvas",
+        "problemCopyingCanvasDesc": "Unable to export base layer",
         "problemCopyingImage": "Unable to Copy Image",
         "problemCopyingImageLink": "Unable to Copy Image Link",
+        "problemDownloadingCanvas": "Problem Downloading Canvas",
+        "problemDownloadingCanvasDesc": "Unable to export base layer",
+        "problemImportingMask": "Problem Importing Mask",
+        "problemImportingMaskDesc": "Unable to export mask",
+        "problemMergingCanvas": "Problem Merging Canvas",
+        "problemMergingCanvasDesc": "Unable to export base layer",
+        "problemSavingCanvas": "Problem Saving Canvas",
+        "problemSavingCanvasDesc": "Unable to export base layer",
+        "problemSavingMask": "Problem Saving Mask",
+        "problemSavingMaskDesc": "Unable to export mask",
         "promptNotSet": "Prompt Not Set",
         "promptNotSetDesc": "Could not find prompt for this image.",
         "promptSet": "Prompt Set",
@@ -1009,11 +1034,16 @@
         "sentToImageToImage": "Sent To Image To Image",
         "sentToUnifiedCanvas": "Sent to Unified Canvas",
         "serverError": "Server Error",
+        "setCanvasInitialImage": "Set as canvas initial image",
+        "setControlImage": "Set as control image",
+        "setInitialImage": "Set as initial image",
+        "setNodeField": "Set as node field",
         "tempFoldersEmptied": "Temp Folder Emptied",
         "uploadFailed": "Upload failed",
         "uploadFailedInvalidUploadDesc": "Must be single PNG or JPEG image",
         "uploadFailedUnableToLoadDesc": "Unable to load file",
-        "upscalingFailed": "Upscaling Failed"
+        "upscalingFailed": "Upscaling Failed",
+        "workflowLoaded": "Workflow Loaded"
     },
     "tooltip": {
         "feature": {
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts
index 9e66d1bdb8..c328aceedf 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts
@@ -4,6 +4,7 @@ import { $logger } from 'app/logging/logger';
 import { getBaseLayerBlob } from 'features/canvas/util/getBaseLayerBlob';
 import { addToast } from 'features/system/store/systemSlice';
 import { copyBlobToClipboard } from 'features/canvas/util/copyBlobToClipboard';
+import { t } from 'i18next';
 
 export const addCanvasCopiedToClipboardListener = () => {
   startAppListening({
@@ -20,8 +21,8 @@ export const addCanvasCopiedToClipboardListener = () => {
         moduleLog.error('Problem getting base layer blob');
         dispatch(
           addToast({
-            title: 'Problem Copying Canvas',
-            description: 'Unable to export base layer',
+            title: t('toast.problemCopyingCanvas'),
+            description: t('toast.problemCopyingCanvasDesc'),
             status: 'error',
           })
         );
@@ -32,7 +33,7 @@ export const addCanvasCopiedToClipboardListener = () => {
 
       dispatch(
         addToast({
-          title: 'Canvas Copied to Clipboard',
+          title: t('toast.canvasCopiedClipboard'),
           status: 'success',
         })
       );
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts
index b101d00541..23faf4a356 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts
@@ -4,6 +4,7 @@ import { $logger } from 'app/logging/logger';
 import { downloadBlob } from 'features/canvas/util/downloadBlob';
 import { getBaseLayerBlob } from 'features/canvas/util/getBaseLayerBlob';
 import { addToast } from 'features/system/store/systemSlice';
+import { t } from 'i18next';
 
 export const addCanvasDownloadedAsImageListener = () => {
   startAppListening({
@@ -20,8 +21,8 @@ export const addCanvasDownloadedAsImageListener = () => {
         moduleLog.error('Problem getting base layer blob');
         dispatch(
           addToast({
-            title: 'Problem Downloading Canvas',
-            description: 'Unable to export base layer',
+            title: t('toast.problemDownloadingCanvas'),
+            description: t('toast.problemDownloadingCanvasDesc'),
             status: 'error',
           })
         );
@@ -29,7 +30,9 @@ export const addCanvasDownloadedAsImageListener = () => {
       }
 
       downloadBlob(blob, 'canvas.png');
-      dispatch(addToast({ title: 'Canvas Downloaded', status: 'success' }));
+      dispatch(
+        addToast({ title: t('toast.canvasDownloaded'), status: 'success' })
+      );
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts
index fb411a6e25..5181df134f 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts
@@ -5,6 +5,7 @@ import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlic
 import { addToast } from 'features/system/store/systemSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '..';
+import { t } from 'i18next';
 
 export const addCanvasImageToControlNetListener = () => {
   startAppListening({
@@ -19,8 +20,8 @@ export const addCanvasImageToControlNetListener = () => {
         log.error('Problem getting base layer blob');
         dispatch(
           addToast({
-            title: 'Problem Saving Canvas',
-            description: 'Unable to export base layer',
+            title: t('toast.problemSavingCanvas'),
+            description: t('toast.problemSavingCanvasDesc'),
             status: 'error',
           })
         );
@@ -40,7 +41,7 @@ export const addCanvasImageToControlNetListener = () => {
           crop_visible: true,
           postUploadAction: {
             type: 'TOAST',
-            toastOptions: { title: 'Canvas Sent to ControlNet & Assets' },
+            toastOptions: { title: t('toast.canvasSentControlnetAssets') },
           },
         })
       ).unwrap();
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts
index e701b93352..f814d94f3a 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts
@@ -4,6 +4,7 @@ import { getCanvasData } from 'features/canvas/util/getCanvasData';
 import { addToast } from 'features/system/store/systemSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '..';
+import { t } from 'i18next';
 
 export const addCanvasMaskSavedToGalleryListener = () => {
   startAppListening({
@@ -30,8 +31,8 @@ export const addCanvasMaskSavedToGalleryListener = () => {
         log.error('Problem getting mask layer blob');
         dispatch(
           addToast({
-            title: 'Problem Saving Mask',
-            description: 'Unable to export mask',
+            title: t('toast.problemSavingMask'),
+            description: t('toast.problemSavingMaskDesc'),
             status: 'error',
           })
         );
@@ -51,7 +52,7 @@ export const addCanvasMaskSavedToGalleryListener = () => {
           crop_visible: true,
           postUploadAction: {
             type: 'TOAST',
-            toastOptions: { title: 'Mask Saved to Assets' },
+            toastOptions: { title: t('toast.maskSavedAssets') },
           },
         })
       );
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskToControlNet.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskToControlNet.ts
index 6c97259f02..671c7f63e4 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskToControlNet.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskToControlNet.ts
@@ -5,6 +5,7 @@ import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlic
 import { addToast } from 'features/system/store/systemSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '..';
+import { t } from 'i18next';
 
 export const addCanvasMaskToControlNetListener = () => {
   startAppListening({
@@ -31,8 +32,8 @@ export const addCanvasMaskToControlNetListener = () => {
         log.error('Problem getting mask layer blob');
         dispatch(
           addToast({
-            title: 'Problem Importing Mask',
-            description: 'Unable to export mask',
+            title: t('toast.problemImportingMask'),
+            description: t('toast.problemImportingMaskDesc'),
             status: 'error',
           })
         );
@@ -52,7 +53,7 @@ export const addCanvasMaskToControlNetListener = () => {
           crop_visible: true,
           postUploadAction: {
             type: 'TOAST',
-            toastOptions: { title: 'Mask Sent to ControlNet & Assets' },
+            toastOptions: { title: t('toast.maskSentControlnetAssets') },
           },
         })
       ).unwrap();
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts
index 21c506242d..62f7b60036 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts
@@ -6,6 +6,7 @@ import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider';
 import { addToast } from 'features/system/store/systemSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '..';
+import { t } from 'i18next';
 
 export const addCanvasMergedListener = () => {
   startAppListening({
@@ -20,8 +21,8 @@ export const addCanvasMergedListener = () => {
         moduleLog.error('Problem getting base layer blob');
         dispatch(
           addToast({
-            title: 'Problem Merging Canvas',
-            description: 'Unable to export base layer',
+            title: t('toast.problemMergingCanvas'),
+            description: t('toast.problemMergingCanvasDesc'),
             status: 'error',
           })
         );
@@ -34,8 +35,8 @@ export const addCanvasMergedListener = () => {
         moduleLog.error('Problem getting canvas base layer');
         dispatch(
           addToast({
-            title: 'Problem Merging Canvas',
-            description: 'Unable to export base layer',
+            title: t('toast.problemMergingCanvas'),
+            description: t('toast.problemMergingCanvasDesc'),
             status: 'error',
           })
         );
@@ -55,7 +56,7 @@ export const addCanvasMergedListener = () => {
           is_intermediate: true,
           postUploadAction: {
             type: 'TOAST',
-            toastOptions: { title: 'Canvas Merged' },
+            toastOptions: { title: t('toast.canvasMerged') },
           },
         })
       ).unwrap();
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts
index dbadb72a52..0bb8ad8550 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts
@@ -4,6 +4,7 @@ import { getBaseLayerBlob } from 'features/canvas/util/getBaseLayerBlob';
 import { addToast } from 'features/system/store/systemSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '..';
+import { t } from 'i18next';
 
 export const addCanvasSavedToGalleryListener = () => {
   startAppListening({
@@ -18,8 +19,8 @@ export const addCanvasSavedToGalleryListener = () => {
         log.error('Problem getting base layer blob');
         dispatch(
           addToast({
-            title: 'Problem Saving Canvas',
-            description: 'Unable to export base layer',
+            title: t('toast.problemSavingCanvas'),
+            description: t('toast.problemSavingCanvasDesc'),
             status: 'error',
           })
         );
@@ -39,7 +40,7 @@ export const addCanvasSavedToGalleryListener = () => {
           crop_visible: true,
           postUploadAction: {
             type: 'TOAST',
-            toastOptions: { title: 'Canvas Saved to Gallery' },
+            toastOptions: { title: t('toast.canvasSavedGallery') },
           },
         })
       );
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
index 0c55908748..2cc406469b 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
@@ -9,9 +9,10 @@ import { omit } from 'lodash-es';
 import { boardsApi } from 'services/api/endpoints/boards';
 import { startAppListening } from '..';
 import { imagesApi } from '../../../../../services/api/endpoints/images';
+import { t } from 'i18next';
 
 const DEFAULT_UPLOADED_TOAST: UseToastOptions = {
-  title: 'Image Uploaded',
+  title: t('toast.imageUploaded'),
   status: 'success',
 };
 
@@ -57,8 +58,8 @@ export const addImageUploadedFulfilledListener = () => {
           // Fall back to just the board id if we can't find the board for some reason
           const board = data?.find((b) => b.board_id === autoAddBoardId);
           const description = board
-            ? `Added to board ${board.board_name}`
-            : `Added to board ${autoAddBoardId}`;
+            ? `${t('toast.addedToBoard')} ${board.board_name}`
+            : `${t('toast.addedToBoard')} ${autoAddBoardId}`;
 
           dispatch(
             addToast({
@@ -75,7 +76,7 @@ export const addImageUploadedFulfilledListener = () => {
         dispatch(
           addToast({
             ...DEFAULT_UPLOADED_TOAST,
-            description: 'Set as canvas initial image',
+            description: t('toast.setCanvasInitialImage'),
           })
         );
         return;
@@ -92,7 +93,7 @@ export const addImageUploadedFulfilledListener = () => {
         dispatch(
           addToast({
             ...DEFAULT_UPLOADED_TOAST,
-            description: 'Set as control image',
+            description: t('toast.setControlImage'),
           })
         );
         return;
@@ -103,7 +104,7 @@ export const addImageUploadedFulfilledListener = () => {
         dispatch(
           addToast({
             ...DEFAULT_UPLOADED_TOAST,
-            description: 'Set as initial image',
+            description: t('toast.setInitialImage'),
           })
         );
         return;
@@ -117,7 +118,7 @@ export const addImageUploadedFulfilledListener = () => {
         dispatch(
           addToast({
             ...DEFAULT_UPLOADED_TOAST,
-            description: `Set as node field ${fieldName}`,
+            description: `${t('toast.setNodeField')} ${fieldName}`,
           })
         );
         return;
@@ -140,7 +141,7 @@ export const addImageUploadedRejectedListener = () => {
       log.error({ ...sanitizedData }, 'Image upload failed');
       dispatch(
         addToast({
-          title: 'Image Upload Failed',
+          title: t('toast.imageUploadFailed'),
           description: action.error.message,
           status: 'error',
         })
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
index 240890f043..eb25b22293 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
@@ -14,6 +14,7 @@ import { addToast } from 'features/system/store/systemSlice';
 import { makeToast } from 'features/system/util/makeToast';
 import { forEach } from 'lodash-es';
 import { startAppListening } from '..';
+import { t } from 'i18next';
 
 export const addModelSelectedListener = () => {
   startAppListening({
@@ -67,7 +68,9 @@ export const addModelSelectedListener = () => {
           dispatch(
             addToast(
               makeToast({
-                title: `Base model changed, cleared ${modelsCleared} incompatible submodel${
+                title: `${t(
+                  'toast.baseModelChangedCleared'
+                )} ${modelsCleared} ${t('toast.incompatibleSubmodel')}${
                   modelsCleared === 1 ? '' : 's'
                 }`,
                 status: 'warning',
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts
index b14e18ea63..c00cf78beb 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts
@@ -2,6 +2,7 @@ import { stagingAreaImageSaved } from 'features/canvas/store/actions';
 import { addToast } from 'features/system/store/systemSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '..';
+import { t } from 'i18next';
 
 export const addStagingAreaImageSavedListener = () => {
   startAppListening({
@@ -28,11 +29,11 @@ export const addStagingAreaImageSavedListener = () => {
             })
           );
         }
-        dispatch(addToast({ title: 'Image Saved', status: 'success' }));
+        dispatch(addToast({ title: t('toast.imageSaved'), status: 'success' }));
       } catch (error) {
         dispatch(
           addToast({
-            title: 'Image Saving Failed',
+            title: t('toast.imageSavingFailed'),
             description: (error as Error)?.message,
             status: 'error',
           })
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/workflowLoaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/workflowLoaded.ts
index c447720941..de697a70e5 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/workflowLoaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/workflowLoaded.ts
@@ -7,6 +7,7 @@ import { addToast } from 'features/system/store/systemSlice';
 import { makeToast } from 'features/system/util/makeToast';
 import { setActiveTab } from 'features/ui/store/uiSlice';
 import { startAppListening } from '..';
+import { t } from 'i18next';
 
 export const addWorkflowLoadedListener = () => {
   startAppListening({
@@ -27,7 +28,7 @@ export const addWorkflowLoadedListener = () => {
         dispatch(
           addToast(
             makeToast({
-              title: 'Workflow Loaded',
+              title: t('toast.workflowLoaded'),
               status: 'success',
             })
           )
@@ -36,7 +37,7 @@ export const addWorkflowLoadedListener = () => {
         dispatch(
           addToast(
             makeToast({
-              title: 'Workflow Loaded with Warnings',
+              title: t('toast.loadedWithWarnings'),
               status: 'warning',
             })
           )
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index 11b74cd002..0ab10db159 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -1,5 +1,5 @@
 import { FieldType, FieldUIConfig } from './types';
-import i18n from 'i18next';
+import { t } from 'i18next';
 
 export const HANDLE_TOOLTIP_OPEN_DELAY = 500;
 export const COLOR_TOKEN_VALUE = 500;
@@ -103,73 +103,73 @@ export const isPolymorphicItemType = (
 export const FIELDS: Record<FieldType, FieldUIConfig> = {
   boolean: {
     color: 'green.500',
-    description: i18n.t('nodes.booleanDescription'),
-    title: i18n.t('nodes.boolean'),
+    description: t('nodes.booleanDescription'),
+    title: t('nodes.boolean'),
   },
   BooleanCollection: {
     color: 'green.500',
-    description: i18n.t('nodes.booleanCollectionDescription'),
-    title: i18n.t('nodes.booleanCollection'),
+    description: t('nodes.booleanCollectionDescription'),
+    title: t('nodes.booleanCollection'),
   },
   BooleanPolymorphic: {
     color: 'green.500',
-    description: i18n.t('nodes.booleanPolymorphicDescription'),
-    title: i18n.t('nodes.booleanPolymorphic'),
+    description: t('nodes.booleanPolymorphicDescription'),
+    title: t('nodes.booleanPolymorphic'),
   },
   ClipField: {
     color: 'green.500',
-    description: i18n.t('nodes.clipFieldDescription'),
-    title: i18n.t('nodes.clipField'),
+    description: t('nodes.clipFieldDescription'),
+    title: t('nodes.clipField'),
   },
   Collection: {
     color: 'base.500',
-    description: i18n.t('nodes.collectionDescription'),
-    title: i18n.t('nodes.collection'),
+    description: t('nodes.collectionDescription'),
+    title: t('nodes.collection'),
   },
   CollectionItem: {
     color: 'base.500',
-    description: i18n.t('nodes.collectionItemDescription'),
-    title: i18n.t('nodes.collectionItem'),
+    description: t('nodes.collectionItemDescription'),
+    title: t('nodes.collectionItem'),
   },
   ColorCollection: {
     color: 'pink.300',
-    description: i18n.t('nodes.colorCollectionDescription'),
-    title: i18n.t('nodes.colorCollection'),
+    description: t('nodes.colorCollectionDescription'),
+    title: t('nodes.colorCollection'),
   },
   ColorField: {
     color: 'pink.300',
-    description: i18n.t('nodes.colorFieldDescription'),
-    title: i18n.t('nodes.colorField'),
+    description: t('nodes.colorFieldDescription'),
+    title: t('nodes.colorField'),
   },
   ColorPolymorphic: {
     color: 'pink.300',
-    description: i18n.t('nodes.colorPolymorphicDescription'),
-    title: i18n.t('nodes.colorPolymorphic'),
+    description: t('nodes.colorPolymorphicDescription'),
+    title: t('nodes.colorPolymorphic'),
   },
   ConditioningCollection: {
     color: 'cyan.500',
-    description: i18n.t('nodes.conditioningCollectionDescription'),
-    title: i18n.t('nodes.conditioningCollection'),
+    description: t('nodes.conditioningCollectionDescription'),
+    title: t('nodes.conditioningCollection'),
   },
   ConditioningField: {
     color: 'cyan.500',
-    description: i18n.t('nodes.conditioningFieldDescription'),
-    title: i18n.t('nodes.conditioningField'),
+    description: t('nodes.conditioningFieldDescription'),
+    title: t('nodes.conditioningField'),
   },
   ConditioningPolymorphic: {
     color: 'cyan.500',
-    description: i18n.t('nodes.conditioningPolymorphicDescription'),
-    title: i18n.t('nodes.conditioningPolymorphic'),
+    description: t('nodes.conditioningPolymorphicDescription'),
+    title: t('nodes.conditioningPolymorphic'),
   },
   ControlCollection: {
     color: 'teal.500',
-    description: i18n.t('nodes.controlCollectionDescription'),
-    title: i18n.t('nodes.controlCollection'),
+    description: t('nodes.controlCollectionDescription'),
+    title: t('nodes.controlCollection'),
   },
   ControlField: {
     color: 'teal.500',
-    description: i18n.t('nodes.controlFieldDescription'),
-    title: i18n.t('nodes.controlField'),
+    description: t('nodes.controlFieldDescription'),
+    title: t('nodes.controlField'),
   },
   ControlNetModelField: {
     color: 'teal.500',
@@ -183,132 +183,132 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
   },
   DenoiseMaskField: {
     color: 'blue.300',
-    description: i18n.t('nodes.denoiseMaskFieldDescription'),
-    title: i18n.t('nodes.denoiseMaskField'),
+    description: t('nodes.denoiseMaskFieldDescription'),
+    title: t('nodes.denoiseMaskField'),
   },
   enum: {
     color: 'blue.500',
-    description: i18n.t('nodes.enumDescription'),
-    title: i18n.t('nodes.enum'),
+    description: t('nodes.enumDescription'),
+    title: t('nodes.enum'),
   },
   float: {
     color: 'orange.500',
-    description: i18n.t('nodes.floatDescription'),
-    title: i18n.t('nodes.float'),
+    description: t('nodes.floatDescription'),
+    title: t('nodes.float'),
   },
   FloatCollection: {
     color: 'orange.500',
-    description: i18n.t('nodes.floatCollectionDescription'),
-    title: i18n.t('nodes.floatCollection'),
+    description: t('nodes.floatCollectionDescription'),
+    title: t('nodes.floatCollection'),
   },
   FloatPolymorphic: {
     color: 'orange.500',
-    description: i18n.t('nodes.floatPolymorphicDescription'),
-    title: i18n.t('nodes.floatPolymorphic'),
+    description: t('nodes.floatPolymorphicDescription'),
+    title: t('nodes.floatPolymorphic'),
   },
   ImageCollection: {
     color: 'purple.500',
-    description: i18n.t('nodes.imageCollectionDescription'),
-    title: i18n.t('nodes.imageCollection'),
+    description: t('nodes.imageCollectionDescription'),
+    title: t('nodes.imageCollection'),
   },
   ImageField: {
     color: 'purple.500',
-    description: i18n.t('nodes.imageFieldDescription'),
-    title: i18n.t('nodes.imageField'),
+    description: t('nodes.imageFieldDescription'),
+    title: t('nodes.imageField'),
   },
   ImagePolymorphic: {
     color: 'purple.500',
-    description: i18n.t('nodes.imagePolymorphicDescription'),
-    title: i18n.t('nodes.imagePolymorphic'),
+    description: t('nodes.imagePolymorphicDescription'),
+    title: t('nodes.imagePolymorphic'),
   },
   integer: {
     color: 'red.500',
-    description: i18n.t('nodes.integerDescription'),
-    title: i18n.t('nodes.integer'),
+    description: t('nodes.integerDescription'),
+    title: t('nodes.integer'),
   },
   IntegerCollection: {
     color: 'red.500',
-    description: i18n.t('nodes.integerCollectionDescription'),
-    title: i18n.t('nodes.integerCollection'),
+    description: t('nodes.integerCollectionDescription'),
+    title: t('nodes.integerCollection'),
   },
   IntegerPolymorphic: {
     color: 'red.500',
-    description: i18n.t('nodes.integerPolymorphicDescription'),
-    title: i18n.t('nodes.integerPolymorphic'),
+    description: t('nodes.integerPolymorphicDescription'),
+    title: t('nodes.integerPolymorphic'),
   },
   LatentsCollection: {
     color: 'pink.500',
-    description: i18n.t('nodes.latentsCollectionDescription'),
-    title: i18n.t('nodes.latentsCollection'),
+    description: t('nodes.latentsCollectionDescription'),
+    title: t('nodes.latentsCollection'),
   },
   LatentsField: {
     color: 'pink.500',
-    description: i18n.t('nodes.latentsFieldDescription'),
-    title: i18n.t('nodes.latentsField'),
+    description: t('nodes.latentsFieldDescription'),
+    title: t('nodes.latentsField'),
   },
   LatentsPolymorphic: {
     color: 'pink.500',
-    description: i18n.t('nodes.latentsPolymorphicDescription'),
-    title: i18n.t('nodes.latentsPolymorphic'),
+    description: t('nodes.latentsPolymorphicDescription'),
+    title: t('nodes.latentsPolymorphic'),
   },
   LoRAModelField: {
     color: 'teal.500',
-    description: i18n.t('nodes.loRAModelFieldDescription'),
-    title: i18n.t('nodes.loRAModelField'),
+    description: t('nodes.loRAModelFieldDescription'),
+    title: t('nodes.loRAModelField'),
   },
   MainModelField: {
     color: 'teal.500',
-    description: i18n.t('nodes.mainModelFieldDescription'),
-    title: i18n.t('nodes.mainModelField'),
+    description: t('nodes.mainModelFieldDescription'),
+    title: t('nodes.mainModelField'),
   },
   ONNXModelField: {
     color: 'teal.500',
-    description: i18n.t('nodes.oNNXModelFieldDescription'),
-    title: i18n.t('nodes.oNNXModelField'),
+    description: t('nodes.oNNXModelFieldDescription'),
+    title: t('nodes.oNNXModelField'),
   },
   Scheduler: {
     color: 'base.500',
-    description: i18n.t('nodes.schedulerDescription'),
-    title: i18n.t('nodes.scheduler'),
+    description: t('nodes.schedulerDescription'),
+    title: t('nodes.scheduler'),
   },
   SDXLMainModelField: {
     color: 'teal.500',
-    description: i18n.t('nodes.sDXLMainModelFieldDescription'),
-    title: i18n.t('nodes.sDXLMainModelField'),
+    description: t('nodes.sDXLMainModelFieldDescription'),
+    title: t('nodes.sDXLMainModelField'),
   },
   SDXLRefinerModelField: {
     color: 'teal.500',
-    description: i18n.t('nodes.sDXLRefinerModelFieldDescription'),
-    title: i18n.t('nodes.sDXLRefinerModelField'),
+    description: t('nodes.sDXLRefinerModelFieldDescription'),
+    title: t('nodes.sDXLRefinerModelField'),
   },
   string: {
     color: 'yellow.500',
-    description: i18n.t('nodes.stringDescription'),
-    title: i18n.t('nodes.string'),
+    description: t('nodes.stringDescription'),
+    title: t('nodes.string'),
   },
   StringCollection: {
     color: 'yellow.500',
-    description: i18n.t('nodes.stringCollectionDescription'),
-    title: i18n.t('nodes.stringCollection'),
+    description: t('nodes.stringCollectionDescription'),
+    title: t('nodes.stringCollection'),
   },
   StringPolymorphic: {
     color: 'yellow.500',
-    description: i18n.t('nodes.stringPolymorphicDescription'),
-    title: i18n.t('nodes.stringPolymorphic'),
+    description: t('nodes.stringPolymorphicDescription'),
+    title: t('nodes.stringPolymorphic'),
   },
   UNetField: {
     color: 'red.500',
-    description: i18n.t('nodes.uNetFieldDescription'),
-    title: i18n.t('nodes.uNetField'),
+    description: t('nodes.uNetFieldDescription'),
+    title: t('nodes.uNetField'),
   },
   VaeField: {
     color: 'blue.500',
-    description: i18n.t('nodes.vaeFieldDescription'),
-    title: i18n.t('nodes.vaeField'),
+    description: t('nodes.vaeFieldDescription'),
+    title: t('nodes.vaeField'),
   },
   VaeModelField: {
     color: 'teal.500',
-    description: i18n.t('nodes.vaeModelFieldDescription'),
-    title: i18n.t('nodes.vaeModelField'),
+    description: t('nodes.vaeModelFieldDescription'),
+    title: t('nodes.vaeModelField'),
   },
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
index bfed5f417a..9e21a292b8 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
@@ -9,7 +9,6 @@ import { buildCanvasSDXLInpaintGraph } from './buildCanvasSDXLInpaintGraph';
 import { buildCanvasSDXLOutpaintGraph } from './buildCanvasSDXLOutpaintGraph';
 import { buildCanvasSDXLTextToImageGraph } from './buildCanvasSDXLTextToImageGraph';
 import { buildCanvasTextToImageGraph } from './buildCanvasTextToImageGraph';
-import i18n from 'i18next';
 
 export const buildCanvasGraph = (
   state: RootState,
@@ -30,7 +29,7 @@ export const buildCanvasGraph = (
     }
   } else if (generationMode === 'img2img') {
     if (!canvasInitImage) {
-      throw new Error(i18n.t('nodes.missingCanvaInitImage'));
+      throw new Error('Missing canvas init image');
     }
     if (
       state.generation.model &&
@@ -42,7 +41,7 @@ export const buildCanvasGraph = (
     }
   } else if (generationMode === 'inpaint') {
     if (!canvasInitImage || !canvasMaskImage) {
-      throw new Error(i18n.t('nodes.missingCanvaInitMaskImages'));
+      throw new Error('Missing canvas init and mask images');
     }
     if (
       state.generation.model &&
@@ -58,7 +57,7 @@ export const buildCanvasGraph = (
     }
   } else {
     if (!canvasInitImage) {
-      throw new Error(i18n.t('nodes.missingCanvaInitImage'));
+      throw new Error('Missing canvas init image');
     }
     if (
       state.generation.model &&
@@ -75,4 +74,4 @@ export const buildCanvasGraph = (
   }
 
   return graph;
-};
+};
\ No newline at end of file
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index b27ffe7149..e750b40220 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -25,7 +25,6 @@ import {
   POSITIVE_CONDITIONING,
   SEAMLESS,
 } from './constants';
-import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Image to Image graph.
@@ -67,8 +66,8 @@ export const buildCanvasImageToImageGraph = (
   );
 
   if (!model) {
-    log.error(i18n.t('nodes.noModelFoundState'));
-    throw new Error(i18n.t('nodes.noModelFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   let modelLoaderNodeId = MAIN_MODEL_LOADER;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 3a0db8c55a..bfedc03de4 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -44,7 +44,6 @@ import {
   RANGE_OF_SIZE,
   SEAMLESS,
 } from './constants';
-import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Inpaint graph.
@@ -80,8 +79,8 @@ export const buildCanvasInpaintGraph = (
   } = state.generation;
 
   if (!model) {
-    log.error(i18n.t('nodes.noImageFoundState'));
-    throw new Error(i18n.t('nodes.noImageFoundState'));
+    log.error('No Image found in state');
+    throw new Error('No Image found in state');
   }
 
   // The bounding box determines width and height, not the width and height params
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 2222fcbfe8..add94e4b57 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -46,7 +46,6 @@ import {
   RANGE_OF_SIZE,
   SEAMLESS,
 } from './constants';
-import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Outpaint graph.
@@ -84,8 +83,8 @@ export const buildCanvasOutpaintGraph = (
   } = state.generation;
 
   if (!model) {
-    log.error(i18n.t('nodes.noImageFoundState'));
-    throw new Error(i18n.t('nodes.noImageFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   // The bounding box determines width and height, not the width and height params
@@ -851,4 +850,4 @@ export const buildCanvasOutpaintGraph = (
   }
 
   return graph;
-};
+};
\ No newline at end of file
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index 6beb4c725c..2a677a8775 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -27,7 +27,6 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
-import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Image to Image graph.
@@ -75,8 +74,8 @@ export const buildCanvasSDXLImageToImageGraph = (
   );
 
   if (!model) {
-    log.error(i18n.t('nodes.noModelFoundState'));
-    throw new Error(i18n.t('nodes.noModelFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   // Model Loader ID
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 6b63ec4e44..baa1c0155f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -46,7 +46,6 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
-import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Inpaint graph.
@@ -87,8 +86,8 @@ export const buildCanvasSDXLInpaintGraph = (
   } = state.sdxl;
 
   if (!model) {
-    log.error(i18n.t('nodes.noModelFoundState'));
-    throw new Error(i18n.t('nodes.noModelFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   // The bounding box determines width and height, not the width and height params
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index c1105c0ecd..3f8fffb70a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -48,7 +48,6 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
-import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Outpaint graph.
@@ -91,8 +90,8 @@ export const buildCanvasSDXLOutpaintGraph = (
   } = state.sdxl;
 
   if (!model) {
-    log.error(i18n.t('nodes.noModelFoundState'));
-    throw new Error(i18n.t('nodes.noModelFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   // The bounding box determines width and height, not the width and height params
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index 07f9b8f573..6d787987ef 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -29,7 +29,6 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
-import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Text to Image graph.
@@ -72,8 +71,8 @@ export const buildCanvasSDXLTextToImageGraph = (
     state.sdxl;
 
   if (!model) {
-    log.error(i18n.t('nodes.noModelFoundState'));
-    throw new Error(i18n.t('nodes.noModelFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   const use_cpu = shouldUseNoiseSettings
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index ae06a27a3e..094a7b02cc 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -27,7 +27,6 @@ import {
   POSITIVE_CONDITIONING,
   SEAMLESS,
 } from './constants';
-import i18n from 'i18next';
 
 /**
  * Builds the Canvas tab's Text to Image graph.
@@ -67,8 +66,8 @@ export const buildCanvasTextToImageGraph = (
   );
 
   if (!model) {
-    log.error(i18n.t('nodes.noModelFoundState'));
-    throw new Error(i18n.t('nodes.noModelFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   const use_cpu = shouldUseNoiseSettings
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index b032e6d9f7..ee1526c20d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -27,7 +27,6 @@ import {
   RESIZE,
   SEAMLESS,
 } from './constants';
-import i18n from 'i18next';
 
 /**
  * Builds the Image to Image tab graph.
@@ -76,13 +75,13 @@ export const buildLinearImageToImageGraph = (
    */
 
   if (!initialImage) {
-    log.error(i18n.t('nodes.noImageFoundState'));
-    throw new Error(i18n.t('nodes.noImageFoundState'));
+    log.error('No initial image found in state');
+    throw new Error('No initial image found in state');
   }
 
   if (!model) {
-    log.error(i18n.t('nodes.noModelFoundState'));
-    throw new Error(i18n.t('nodes.noModelFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   const fp32 = vaePrecision === 'fp32';
@@ -377,4 +376,4 @@ export const buildLinearImageToImageGraph = (
   }
 
   return graph;
-};
+};
\ No newline at end of file
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 7dd4aaf301..9d39aa2147 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -29,7 +29,6 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
-import i18n from 'i18next';
 
 /**
  * Builds the Image to Image tab graph.
@@ -76,13 +75,13 @@ export const buildLinearSDXLImageToImageGraph = (
    */
 
   if (!initialImage) {
-    log.error(i18n.t('nodes.noImageFoundState'));
-    throw new Error(i18n.t('nodes.noImageFoundState'));
+    log.error('No initial image found in state');
+    throw new Error('No initial image found in state');
   }
 
   if (!model) {
-    log.error(i18n.t('nodes.noModelFoundState'));
-    throw new Error(i18n.t('nodes.noModelFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   const fp32 = vaePrecision === 'fp32';
@@ -400,4 +399,4 @@ export const buildLinearSDXLImageToImageGraph = (
   }
 
   return graph;
-};
+};
\ No newline at end of file
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 86ea08b41c..9590e77f89 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -23,7 +23,6 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
-import i18n from 'i18next';
 
 export const buildLinearSDXLTextToImageGraph = (
   state: RootState
@@ -59,8 +58,8 @@ export const buildLinearSDXLTextToImageGraph = (
     : initialGenerationState.shouldUseCpuNoise;
 
   if (!model) {
-    log.error(i18n.t('nodes.noModelFoundState'));
-    throw new Error(i18n.t('nodes.noModelFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   const fp32 = vaePrecision === 'fp32';
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index 6ca16b0ae0..5c534fff21 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -26,7 +26,6 @@ import {
   SEAMLESS,
   TEXT_TO_IMAGE_GRAPH,
 } from './constants';
-import i18n from 'i18next';
 
 export const buildLinearTextToImageGraph = (
   state: RootState
@@ -54,8 +53,8 @@ export const buildLinearTextToImageGraph = (
     : initialGenerationState.shouldUseCpuNoise;
 
   if (!model) {
-    log.error(i18n.t('nodes.noModelFoundState'));
-    throw new Error(i18n.t('nodes.noModelFoundState'));
+    log.error('No model found in state');
+    throw new Error('No model found in state');
   }
 
   const fp32 = vaePrecision === 'fp32';

From 368bd6f7784a8c52ddd95274c71640fdb513b2cf Mon Sep 17 00:00:00 2001
From: mickr777 <mrandall7@bigpond.com>
Date: Fri, 15 Sep 2023 14:04:28 +1000
Subject: [PATCH 157/265] Prettier Fixes

---
 .../src/features/nodes/util/graphBuilders/buildCanvasGraph.ts   | 2 +-
 .../nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts        | 2 +-
 .../nodes/util/graphBuilders/buildLinearImageToImageGraph.ts    | 2 +-
 .../util/graphBuilders/buildLinearSDXLImageToImageGraph.ts      | 2 +-
 4 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
index 9e21a292b8..d268a3990d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
@@ -74,4 +74,4 @@ export const buildCanvasGraph = (
   }
 
   return graph;
-};
\ No newline at end of file
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index add94e4b57..71d3492bdc 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -850,4 +850,4 @@ export const buildCanvasOutpaintGraph = (
   }
 
   return graph;
-};
\ No newline at end of file
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index ee1526c20d..dc9a34c67e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -376,4 +376,4 @@ export const buildLinearImageToImageGraph = (
   }
 
   return graph;
-};
\ No newline at end of file
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 9d39aa2147..757a3976bb 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -399,4 +399,4 @@ export const buildLinearSDXLImageToImageGraph = (
   }
 
   return graph;
-};
\ No newline at end of file
+};

From 54dc912c839684fa02ede0208193ae50bf6fd54a Mon Sep 17 00:00:00 2001
From: mickr777 <mrandall7@bigpond.com>
Date: Fri, 15 Sep 2023 14:13:54 +1000
Subject: [PATCH 158/265] Revert some test Changes

---
 .../getMetadataAndWorkflowFromImageBlob.ts    |  5 ++--
 .../src/features/nodes/util/parseSchema.ts    | 26 ++++++++-----------
 2 files changed, 13 insertions(+), 18 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/getMetadataAndWorkflowFromImageBlob.ts b/invokeai/frontend/web/src/features/nodes/util/getMetadataAndWorkflowFromImageBlob.ts
index 6f850e7d29..b46a701757 100644
--- a/invokeai/frontend/web/src/features/nodes/util/getMetadataAndWorkflowFromImageBlob.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/getMetadataAndWorkflowFromImageBlob.ts
@@ -7,7 +7,6 @@ import {
   zWorkflow,
 } from 'features/nodes/types/types';
 import { get } from 'lodash-es';
-import i18n from 'i18next';
 
 export const getMetadataAndWorkflowFromImageBlob = async (
   image: Blob
@@ -24,7 +23,7 @@ export const getMetadataAndWorkflowFromImageBlob = async (
     } else {
       logger('system').error(
         { error: parseify(metadataResult.error) },
-        i18n.t('nodes.problemReadingMetadata')
+        'Problem reading metadata from image'
       );
     }
   }
@@ -37,7 +36,7 @@ export const getMetadataAndWorkflowFromImageBlob = async (
     } else {
       logger('system').error(
         { error: parseify(workflowResult.error) },
-        i18n.t('nodes.problemReadingWorkflow')
+        'Problem reading workflow from image'
       );
     }
   }
diff --git a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
index 55ca593827..8615a12c46 100644
--- a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
@@ -15,7 +15,6 @@ import {
   isInvocationSchemaObject,
 } from '../types/types';
 import { buildInputFieldTemplate, getFieldType } from './fieldTemplateBuilders';
-import i18n from 'i18next';
 
 const RESERVED_INPUT_FIELD_NAMES = ['id', 'type', 'metadata'];
 const RESERVED_OUTPUT_FIELD_NAMES = ['type'];
@@ -98,7 +97,7 @@ export const parseSchema = (
         if (isReservedInputField(type, propertyName)) {
           logger('nodes').trace(
             { node: type, fieldName: propertyName, field: parseify(property) },
-            i18n.t('nodes.skippedReservedInput')
+            'Skipped reserved input field'
           );
           return inputsAccumulator;
         }
@@ -106,7 +105,7 @@ export const parseSchema = (
         if (!isInvocationFieldSchema(property)) {
           logger('nodes').warn(
             { node: type, propertyName, property: parseify(property) },
-            i18n.t('nodes.unhandledInputProperty')
+            'Unhandled input property'
           );
           return inputsAccumulator;
         }
@@ -121,7 +120,7 @@ export const parseSchema = (
               fieldType,
               field: parseify(property),
             },
-            i18n.t('nodes.skippingUnknownInputType')
+            'Skipping unknown input field type'
           );
           return inputsAccumulator;
         }
@@ -134,7 +133,7 @@ export const parseSchema = (
               fieldType,
               field: parseify(property),
             },
-            i18n.t('nodes.skippingReservedFieldType')
+            'Skipping reserved field type'
           );
           return inputsAccumulator;
         }
@@ -154,7 +153,7 @@ export const parseSchema = (
               fieldType,
               field: parseify(property),
             },
-            i18n.t('nodes.skippingInputNoTemplate')
+            'Skipping input field with no template'
           );
           return inputsAccumulator;
         }
@@ -170,24 +169,21 @@ export const parseSchema = (
     if (!outputSchemaName) {
       logger('nodes').warn(
         { outputRefObject: parseify(schema.output) },
-        i18n.t('nodes.noOutputSchemaName')
+        'No output schema name found in ref object'
       );
       return invocationsAccumulator;
     }
 
     const outputSchema = openAPI.components?.schemas?.[outputSchemaName];
     if (!outputSchema) {
-      logger('nodes').warn(
-        { outputSchemaName },
-        i18n.t('nodes.outputSchemaNotFound')
-      );
+      logger('nodes').warn({ outputSchemaName }, 'Output schema not found');
       return invocationsAccumulator;
     }
 
     if (!isInvocationOutputSchemaObject(outputSchema)) {
       logger('nodes').error(
         { outputSchema: parseify(outputSchema) },
-        i18n.t('nodes.invalidOutputSchema')
+        'Invalid output schema'
       );
       return invocationsAccumulator;
     }
@@ -200,7 +196,7 @@ export const parseSchema = (
         if (!isAllowedOutputField(type, propertyName)) {
           logger('nodes').trace(
             { type, propertyName, property: parseify(property) },
-            i18n.t('nodes.skippedReservedOutput')
+            'Skipped reserved output field'
           );
           return outputsAccumulator;
         }
@@ -208,7 +204,7 @@ export const parseSchema = (
         if (!isInvocationFieldSchema(property)) {
           logger('nodes').warn(
             { type, propertyName, property: parseify(property) },
-            i18n.t('nodes.unhandledOutputProperty')
+            'Unhandled output property'
           );
           return outputsAccumulator;
         }
@@ -218,7 +214,7 @@ export const parseSchema = (
         if (!isFieldType(fieldType)) {
           logger('nodes').warn(
             { fieldName: propertyName, fieldType, field: parseify(property) },
-            i18n.t('nodes.skippingUnknownOutputType')
+            'Skipping unknown output field type'
           );
           return outputsAccumulator;
         }

From fcea65770f31df652a429fdbeca561591408acd4 Mon Sep 17 00:00:00 2001
From: Jennifer Player <chainchompa@gmail.com>
Date: Fri, 15 Sep 2023 10:37:05 -0400
Subject: [PATCH 159/265] added optional popovers for users to learn more about
 each setting

---
 invokeai/frontend/web/public/locales/en.json  | 126 ++++++++++++++++++
 .../components/IAIInformationalPopover.tsx    |  19 +--
 .../parameters/ParamControlNetBeginEnd.tsx    | 105 ++++++++-------
 .../parameters/ParamControlNetControlMode.tsx |  17 ++-
 .../ParamControlNetFeatureToggle.tsx          |  19 +--
 .../parameters/ParamControlNetResizeMode.tsx  |  17 ++-
 .../parameters/ParamControlNetWeight.tsx      |  25 ++--
 .../ParamDynamicPromptsCombinatorial.tsx      |  15 ++-
 .../components/ParamDynamicPromptsEnabled.tsx |  13 +-
 .../components/clipSkip.tsx                   |  15 +++
 .../components/compositingBlur.tsx            |  15 +++
 .../components/compositingBlurMethod.tsx      |  15 +++
 .../components/compositingCoherencePass.tsx   |  15 +++
 .../components/compositingMode.tsx            |  15 +++
 .../components/compositingSteps.tsx           |  15 +++
 .../components/compositingStrength.tsx        |  15 +++
 .../components/compositiveMaskAdjustments.tsx |  15 +++
 .../components/controlNetBeginEnd.tsx         |  15 +++
 .../components/controlNetControlMode.tsx      |  15 +++
 .../components/controlNetResizeMode.tsx       |  15 +++
 .../components/controlNetToggle.tsx           |  15 +++
 .../components/controlNetWeight.tsx           |  15 +++
 .../dynamicPromptsCombinatorial.tsx           |  17 +++
 .../components/dynamicPromptsToggle.tsx       |  15 +++
 .../components/infillMethod.tsx               |  15 +++
 .../informationalPopovers/components/lora.tsx |  15 +++
 .../components/noiseEnable.tsx                |  15 +++
 .../components/noiseUseCPU.tsx                |  15 +++
 .../components/paramCFGScale.tsx              |  15 +++
 .../components/paramDenoisingStrength.tsx     |  15 +++
 .../components/paramImages.tsx                |  15 +++
 .../components/paramModel.tsx                 |  15 +++
 .../components/paramPositiveConditioning.tsx  |   7 +-
 .../components/paramScheduler.tsx             |  15 +++
 .../components/paramSeed.tsx                  |  15 +++
 .../components/paramSteps.tsx                 |  15 +++
 .../components/paramVAE.tsx                   |  15 +++
 .../components/paramVAEPrecision.tsx          |  15 +++
 .../components/scaleBeforeProcessing.tsx      |  15 +++
 .../features/lora/components/ParamLora.tsx    |  51 +++----
 .../Parameters/Advanced/ParamClipSkip.tsx     |  31 +++--
 .../ParamCanvasCoherenceMode.tsx              |  15 ++-
 .../ParamCanvasCoherenceSteps.tsx             |  37 ++---
 .../ParamCanvasCoherenceStrength.tsx          |  37 ++---
 .../MaskAdjustment/ParamMaskBlur.tsx          |  35 ++---
 .../MaskAdjustment/ParamMaskBlurMethod.tsx    |  15 ++-
 .../InfillAndScaling/ParamInfillMethod.tsx    |  19 +--
 .../ParamScaleBeforeProcessing.tsx            |  15 ++-
 .../Parameters/Core/ParamCFGScale.tsx         |  53 ++++----
 .../Parameters/Core/ParamIterations.tsx       |  53 ++++----
 .../Parameters/Core/ParamScheduler.tsx        |  15 ++-
 .../components/Parameters/Core/ParamSteps.tsx |  51 +++----
 .../MainModel/ParamMainModelSelect.tsx        |  41 +++---
 .../Parameters/Noise/ParamCpuNoise.tsx        |  15 ++-
 .../Parameters/Noise/ParamNoiseToggle.tsx     |  13 +-
 .../Parameters/Seed/ParamSeedFull.tsx         |  13 +-
 .../VAEModel/ParamVAEModelSelect.tsx          |  25 ++--
 .../Parameters/VAEModel/ParamVAEPrecision.tsx |  15 ++-
 .../ParamSDXLImg2ImgDenoisingStrength.tsx     |  29 ++--
 59 files changed, 1018 insertions(+), 360 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/clipSkip.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlur.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlurMethod.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingCoherencePass.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingMode.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingSteps.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingStrength.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositiveMaskAdjustments.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/controlNetBeginEnd.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/controlNetControlMode.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/controlNetResizeMode.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/controlNetToggle.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/controlNetWeight.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsCombinatorial.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsToggle.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/infillMethod.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/lora.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/noiseEnable.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/noiseUseCPU.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramCFGScale.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramDenoisingStrength.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramImages.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramModel.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramScheduler.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramSeed.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramSteps.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramVAE.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramVAEPrecision.tsx
 create mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/scaleBeforeProcessing.tsx

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 125554fc40..03e41fc571 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -653,6 +653,132 @@
             "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes)."
         }
     },
+    "popovers": {
+        "clipSkip": {
+            "heading": "CLIP Skip",
+            "paragraph": "Choose how many layers of the CLIP model to skip. Certain models are better suited to be used with CLIP Skip."
+        },
+        "compositingBlur": {
+            "heading": "Blur",
+            "paragraph": "The blur radius of the mask."
+        },
+        "compositingBlurMethod": {
+            "heading": "Blur Method",
+            "paragraph": "The method of blur applied to the masked area."
+        },
+        "compositingCoherencePass": {
+            "heading": "Coherence Pass",
+            "paragraph": "Composite the Inpainted/Outpainted images."
+        },
+        "compositingMode": {
+            "heading": "Mode",
+            "paragraph": "The mode of the Coherence Pass."
+        },
+        "compositingSteps": {
+            "heading": "Steps",
+            "paragraph": "Number of steps in the Coherence Pass. Similar to Denoising Steps."
+        },
+        "compositingStrength": {
+            "heading": "Strength",
+            "paragraph": "Amount of noise added for the Coherence Pass. Similar to Denoising Strength."
+        },
+        "compositingMaskAdjustments": {
+            "heading": "Mask Adjustments",
+            "paragraph": "Adjust the mask."
+        },
+        "controlNetBeginEnd": {
+            "heading": "Begin / End Step Percentage",
+            "paragraph": "Which parts of the denoising process will have the ControlNet applied. ControlNets applied at the start of the process guide composition, and ControlNets applied at the end guide details."
+        },
+        "controlNetControlMode": {
+            "heading": "Control Mode",
+            "paragraph": "Lends more weight to either the prompt or ControlNet."
+        },
+        "controlNetResizeMode": {
+            "heading": "Resize Mode",
+            "paragraph": "How the ControlNet image will be fit to the image generation Ratio"
+        },
+        "controlNetToggle": {
+            "heading": "Enable ControlNet",
+            "paragraph": "ControlNets provide guidance to the generation process, helping create images with controlled composition, structure, or style, depending on the model selected."
+        },
+        "controlNetWeight": {
+            "heading": "Weight",
+            "paragraph": "How strongly the ControlNet will impact the generated image."
+        },
+        "dynamicPromptsToggle": {
+            "heading": "Enable Dynamic Prompts",
+            "paragraph": "Dynamic prompts allow multiple options within a prompt. Dynamic prompts can be used by: {option1|option2|option3}. Combinations of prompts will be randomly generated until the “Images” number has been reached."
+        },
+        "dynamicPromptsCombinatorial": {
+            "heading": "Combinatorial Generation",
+            "paragraph": "Generate an image for every possible combination of Dynamic Prompt until the Max Prompts is reached."
+        },
+        "infillMethod": {
+            "heading": "Infill Method",
+            "paragraph": "Method to infill the selected area."
+        },
+        "lora": {
+            "heading": "LoRA",
+            "paragraph": "Weight of the LoRA. Higher weight will lead to larger impacts on the final image."
+        },
+        "noiseEnable": {
+            "heading": "Enable Noise Settings",
+            "paragraph": "Advanced control over noise generation."
+        },
+        "noiseUseCPU": {
+            "heading": "Use CPU Noise",
+            "paragraph": "Uses the CPU to generate random noise."
+        },
+        "paramsCFGScale": {
+            "heading": "CFG Scale",
+            "paragraph": "Controls how much your prompt influences the generation process."
+        },
+        "paramDenoisingStrength": {
+            "heading": "Denoising Strength",
+            "paragraph": "How much noise is added to the input image. 0 will result in an identical image, while 1 will result in a completely new image."
+        },
+        "paramImages": {
+            "heading": "Images",
+            "paragraph": "Number of images that will be generated."
+        },
+        "paramModel": {
+            "heading": "Model",
+            "paragraph": "Model used for the denoising steps. Different models are trained to specialize in producing different aesthetic results and content."
+        },
+        "paramPositiveConditioning": {
+            "heading": "Positive Prompts",
+            "paragraph": "This is where you enter your positive prompts."
+        },
+        "paramScheduler": {
+            "heading": "Scheduler",
+            "paragraph": "Scheduler defines how to iteratively add noise to an image or how to update a sample based on a model's output."
+        },
+        "paramSeed": {
+            "heading": "Seed",
+            "paragraph": "Controls the starting noise used for generation. Disable “Random Seed” to produce identical results with the same generation settings."
+        },
+        "paramNegativeConditioning": {
+            "heading": "Negative Prompts",
+            "paragraph": "This is where you enter your negative prompts."
+        },
+        "paramSteps": {
+            "heading": "Steps",
+            "paragraph": "Number of steps that will be performed in each generation. Higher step counts will typically create better images but will require more generation time."
+        },
+        "paramVAE": {
+            "heading": "VAE",
+            "paragraph": "Model used for translating AI output into the final image."
+        },
+        "paramVAEPrecision": {
+            "heading": "VAE Precision",
+            "paragraph": "The precision used during VAE encoding and decoding. Fp16/Half precision is more efficient, at the expense of minor image variations."
+        },
+        "scaleBeforeProcessing": {
+            "heading": "Scale Before Processing",
+            "paragraph": "Scales the selected area to the size best suited for the model before the image generation process."
+        }
+    },
     "unifiedCanvas": {
         "layer": "Layer",
         "base": "Base",
diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
index 8f4e6428db..a5bc691bf6 100644
--- a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
@@ -17,12 +17,13 @@ import { useAppSelector } from '../../app/store/storeHooks';
 import { systemSelector } from '../../features/system/store/systemSelectors';
 
 interface Props extends PopoverProps {
-  heading: string;
+  heading?: string;
   paragraph: string;
   triggerComponent: ReactNode;
   image?: string;
   buttonLabel?: string;
   buttonHref?: string;
+  placement?: string;
 }
 
 function IAIInformationalPopover({
@@ -32,6 +33,7 @@ function IAIInformationalPopover({
   buttonLabel,
   buttonHref,
   triggerComponent,
+  placement,
 }: Props) {
   const { shouldDisableInformationalPopovers } = useAppSelector(systemSelector);
 
@@ -40,7 +42,7 @@ function IAIInformationalPopover({
   } else {
     return (
       <Popover
-        placement="top"
+        placement={placement || 'top'}
         closeOnBlur={false}
         trigger="hover"
         variant="informational"
@@ -58,14 +60,15 @@ function IAIInformationalPopover({
                 gap: 3,
                 flexDirection: 'column',
                 width: '100%',
+                alignItems: 'center',
               }}
             >
               {image && (
                 <Image
                   sx={{
                     objectFit: 'contain',
-                    maxW: '100%',
-                    maxH: 'full',
+                    maxW: '60%',
+                    maxH: '60%',
                     backgroundColor: 'white',
                   }}
                   src={image}
@@ -78,13 +81,13 @@ function IAIInformationalPopover({
                   flexDirection: 'column',
 
                   p: 3,
-                  pt: 0,
+                  pt: heading ? 0 : 3,
                 }}
               >
-                <PopoverHeader>{heading}</PopoverHeader>
-                <Text sx={{ pl: 3, pr: 3 }}>{paragraph}</Text>
+                {heading && <PopoverHeader>{heading}</PopoverHeader>}
+                <Text sx={{ px: 3 }}>{paragraph}</Text>
                 {buttonLabel && (
-                  <Flex sx={{ pl: 3, pr: 3 }} justifyContent="flex-end">
+                  <Flex sx={{ px: 3 }} justifyContent="flex-end">
                     <Button
                       onClick={() => window.open(buttonHref)}
                       size="sm"
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
index 1219239e5d..aa055d037a 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
@@ -15,6 +15,7 @@ import {
   controlNetBeginStepPctChanged,
   controlNetEndStepPctChanged,
 } from 'features/controlNet/store/controlNetSlice';
+import { ControlNetBeginEndPopover } from 'features/informationalPopovers/components/controlNetBeginEnd';
 import { memo, useCallback } from 'react';
 
 type Props = {
@@ -47,58 +48,60 @@ const ParamControlNetBeginEnd = (props: Props) => {
   );
 
   return (
-    <FormControl isDisabled={!isEnabled}>
-      <FormLabel>Begin / End Step Percentage</FormLabel>
-      <HStack w="100%" gap={2} alignItems="center">
-        <RangeSlider
-          aria-label={['Begin Step %', 'End Step %']}
-          value={[beginStepPct, endStepPct]}
-          onChange={handleStepPctChanged}
-          min={0}
-          max={1}
-          step={0.01}
-          minStepsBetweenThumbs={5}
-          isDisabled={!isEnabled}
-        >
-          <RangeSliderTrack>
-            <RangeSliderFilledTrack />
-          </RangeSliderTrack>
-          <Tooltip label={formatPct(beginStepPct)} placement="top" hasArrow>
-            <RangeSliderThumb index={0} />
-          </Tooltip>
-          <Tooltip label={formatPct(endStepPct)} placement="top" hasArrow>
-            <RangeSliderThumb index={1} />
-          </Tooltip>
-          <RangeSliderMark
-            value={0}
-            sx={{
-              insetInlineStart: '0 !important',
-              insetInlineEnd: 'unset !important',
-            }}
+    <ControlNetBeginEndPopover>
+      <FormControl isDisabled={!isEnabled}>
+        <FormLabel>Begin / End Step Percentage</FormLabel>
+        <HStack w="100%" gap={2} alignItems="center">
+          <RangeSlider
+            aria-label={['Begin Step %', 'End Step %']}
+            value={[beginStepPct, endStepPct]}
+            onChange={handleStepPctChanged}
+            min={0}
+            max={1}
+            step={0.01}
+            minStepsBetweenThumbs={5}
+            isDisabled={!isEnabled}
           >
-            0%
-          </RangeSliderMark>
-          <RangeSliderMark
-            value={0.5}
-            sx={{
-              insetInlineStart: '50% !important',
-              transform: 'translateX(-50%)',
-            }}
-          >
-            50%
-          </RangeSliderMark>
-          <RangeSliderMark
-            value={1}
-            sx={{
-              insetInlineStart: 'unset !important',
-              insetInlineEnd: '0 !important',
-            }}
-          >
-            100%
-          </RangeSliderMark>
-        </RangeSlider>
-      </HStack>
-    </FormControl>
+            <RangeSliderTrack>
+              <RangeSliderFilledTrack />
+            </RangeSliderTrack>
+            <Tooltip label={formatPct(beginStepPct)} placement="top" hasArrow>
+              <RangeSliderThumb index={0} />
+            </Tooltip>
+            <Tooltip label={formatPct(endStepPct)} placement="top" hasArrow>
+              <RangeSliderThumb index={1} />
+            </Tooltip>
+            <RangeSliderMark
+              value={0}
+              sx={{
+                insetInlineStart: '0 !important',
+                insetInlineEnd: 'unset !important',
+              }}
+            >
+              0%
+            </RangeSliderMark>
+            <RangeSliderMark
+              value={0.5}
+              sx={{
+                insetInlineStart: '50% !important',
+                transform: 'translateX(-50%)',
+              }}
+            >
+              50%
+            </RangeSliderMark>
+            <RangeSliderMark
+              value={1}
+              sx={{
+                insetInlineStart: 'unset !important',
+                insetInlineEnd: '0 !important',
+              }}
+            >
+              100%
+            </RangeSliderMark>
+          </RangeSlider>
+        </HStack>
+      </FormControl>
+    </ControlNetBeginEndPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
index 761edde42b..997c1970e9 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
@@ -5,6 +5,7 @@ import {
   ControlNetConfig,
   controlNetControlModeChanged,
 } from 'features/controlNet/store/controlNetSlice';
+import { ControlNetControlModePopover } from 'features/informationalPopovers/components/controlNetControlMode';
 import { useCallback } from 'react';
 
 type ParamControlNetControlModeProps = {
@@ -32,12 +33,14 @@ export default function ParamControlNetControlMode(
   );
 
   return (
-    <IAIMantineSelect
-      disabled={!isEnabled}
-      label="Control Mode"
-      data={CONTROL_MODE_DATA}
-      value={String(controlMode)}
-      onChange={handleControlModeChange}
-    />
+    <ControlNetControlModePopover>
+      <IAIMantineSelect
+        disabled={!isEnabled}
+        label="Control Mode"
+        data={CONTROL_MODE_DATA}
+        value={String(controlMode)}
+        onChange={handleControlModeChange}
+      />
+    </ControlNetControlModePopover>
   );
 }
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
index 97a54dc7d1..930ec26de7 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
@@ -4,6 +4,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
 import { isControlNetEnabledToggled } from 'features/controlNet/store/controlNetSlice';
+import { ControlNetTogglePopover } from 'features/informationalPopovers/components/controlnetToggle';
 import { memo, useCallback } from 'react';
 
 const selector = createSelector(
@@ -25,14 +26,16 @@ const ParamControlNetFeatureToggle = () => {
   }, [dispatch]);
 
   return (
-    <IAISwitch
-      label="Enable ControlNet"
-      isChecked={isEnabled}
-      onChange={handleChange}
-      formControlProps={{
-        width: '100%',
-      }}
-    />
+    <ControlNetTogglePopover>
+      <IAISwitch
+        label="Enable ControlNet"
+        isChecked={isEnabled}
+        onChange={handleChange}
+        formControlProps={{
+          width: '100%',
+        }}
+      />
+    </ControlNetTogglePopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
index 72f15fb178..b7e4437eb7 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
@@ -5,6 +5,7 @@ import {
   ResizeModes,
   controlNetResizeModeChanged,
 } from 'features/controlNet/store/controlNetSlice';
+import { ControlNetResizeModePopover } from 'features/informationalPopovers/components/controlNetResizeMode';
 import { useCallback } from 'react';
 
 type ParamControlNetResizeModeProps = {
@@ -31,12 +32,14 @@ export default function ParamControlNetResizeMode(
   );
 
   return (
-    <IAIMantineSelect
-      disabled={!isEnabled}
-      label="Resize Mode"
-      data={RESIZE_MODE_DATA}
-      value={String(resizeMode)}
-      onChange={handleResizeModeChange}
-    />
+    <ControlNetResizeModePopover>
+      <IAIMantineSelect
+        disabled={!isEnabled}
+        label="Resize Mode"
+        data={RESIZE_MODE_DATA}
+        value={String(resizeMode)}
+        onChange={handleResizeModeChange}
+      />
+    </ControlNetResizeModePopover>
   );
 }
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
index 6725c47bb8..b16c006aa5 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
@@ -4,6 +4,7 @@ import {
   ControlNetConfig,
   controlNetWeightChanged,
 } from 'features/controlNet/store/controlNetSlice';
+import { ControlNetWeightPopover } from 'features/informationalPopovers/components/controlNetWeight';
 import { memo, useCallback } from 'react';
 
 type ParamControlNetWeightProps = {
@@ -21,17 +22,19 @@ const ParamControlNetWeight = (props: ParamControlNetWeightProps) => {
   );
 
   return (
-    <IAISlider
-      isDisabled={!isEnabled}
-      label="Weight"
-      value={weight}
-      onChange={handleWeightChanged}
-      min={0}
-      max={2}
-      step={0.01}
-      withSliderMarks
-      sliderMarks={[0, 1, 2]}
-    />
+    <ControlNetWeightPopover>
+      <IAISlider
+        isDisabled={!isEnabled}
+        label="Weight"
+        value={weight}
+        onChange={handleWeightChanged}
+        min={0}
+        max={2}
+        step={0.01}
+        withSliderMarks
+        sliderMarks={[0, 1, 2]}
+      />
+    </ControlNetWeightPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
index c028a5d55c..aa12c3a602 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
@@ -5,6 +5,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
 import { memo, useCallback } from 'react';
 import { combinatorialToggled } from '../store/dynamicPromptsSlice';
+import { DynamicPromptsCombinatorialPopover } from 'features/informationalPopovers/components/dynamicPromptsCombinatorial';
 
 const selector = createSelector(
   stateSelector,
@@ -25,12 +26,14 @@ const ParamDynamicPromptsCombinatorial = () => {
   }, [dispatch]);
 
   return (
-    <IAISwitch
-      isDisabled={isDisabled}
-      label="Combinatorial Generation"
-      isChecked={combinatorial}
-      onChange={handleChange}
-    />
+    <DynamicPromptsCombinatorialPopover>
+      <IAISwitch
+        isDisabled={isDisabled}
+        label="Combinatorial Generation"
+        isChecked={combinatorial}
+        onChange={handleChange}
+      />
+    </DynamicPromptsCombinatorialPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
index 1b31147937..9585a288fd 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
@@ -5,6 +5,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
 import { memo, useCallback } from 'react';
 import { isEnabledToggled } from '../store/dynamicPromptsSlice';
+import { DynamicPromptsTogglePopover } from 'features/informationalPopovers/components/dynamicPromptsToggle';
 
 const selector = createSelector(
   stateSelector,
@@ -25,11 +26,13 @@ const ParamDynamicPromptsToggle = () => {
   }, [dispatch]);
 
   return (
-    <IAISwitch
-      label="Enable Dynamic Prompts"
-      isChecked={isEnabled}
-      onChange={handleToggleIsEnabled}
-    />
+    <DynamicPromptsTogglePopover>
+      <IAISwitch
+        label="Enable Dynamic Prompts"
+        isChecked={isEnabled}
+        onChange={handleToggleIsEnabled}
+      />
+    </DynamicPromptsTogglePopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/clipSkip.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/clipSkip.tsx
new file mode 100644
index 0000000000..c267fbc8f2
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/clipSkip.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ClipSkipPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.clipSkip.paragraph')}
+      heading={t('popovers.clipSkip.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlur.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlur.tsx
new file mode 100644
index 0000000000..3dfdbd33ec
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlur.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const CompositingBlurPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.compositingBlur.paragraph')}
+      heading={t('popovers.compositingBlur.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlurMethod.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlurMethod.tsx
new file mode 100644
index 0000000000..9fbc5f2cf9
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlurMethod.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const CompositingBlurMethodPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.compositingBlurMethod.paragraph')}
+      heading={t('popovers.compositingBlurMethod.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingCoherencePass.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingCoherencePass.tsx
new file mode 100644
index 0000000000..462d136553
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingCoherencePass.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const CompositingCoherencePassPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.compositingCoherencePass.paragraph')}
+      heading={t('popovers.compositingCoherencePass.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingMode.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingMode.tsx
new file mode 100644
index 0000000000..d5bb12f09f
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingMode.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const CompositingModePopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.compositingMode.paragraph')}
+      heading={t('popovers.compositingMode.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingSteps.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingSteps.tsx
new file mode 100644
index 0000000000..a8aef2b9d8
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingSteps.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const CompositingStepsPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.compositingSteps.paragraph')}
+      heading={t('popovers.compositingSteps.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingStrength.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingStrength.tsx
new file mode 100644
index 0000000000..9a0d6d2f68
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingStrength.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const CompositingStrengthPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.compositingStrength.paragraph')}
+      heading={t('popovers.compositingStrength.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositiveMaskAdjustments.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositiveMaskAdjustments.tsx
new file mode 100644
index 0000000000..541e6c1e56
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/compositiveMaskAdjustments.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const CompositingMaskAdjustmentsPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.compositingMaskAdjustments.paragraph')}
+      heading={t('popovers.compositingMaskAdjustments.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetBeginEnd.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetBeginEnd.tsx
new file mode 100644
index 0000000000..fbf2b25d30
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetBeginEnd.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ControlNetBeginEndPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.controlNetBeginEnd.paragraph')}
+      heading={t('popovers.controlNetBeginEnd.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetControlMode.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetControlMode.tsx
new file mode 100644
index 0000000000..f8a844edae
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetControlMode.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ControlNetControlModePopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.controlNetControlMode.paragraph')}
+      heading={t('popovers.controlNetControlMode.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetResizeMode.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetResizeMode.tsx
new file mode 100644
index 0000000000..00dfae502b
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetResizeMode.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ControlNetResizeModePopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.controlNetResizeMode.paragraph')}
+      heading={t('popovers.controlNetResizeMode.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetToggle.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetToggle.tsx
new file mode 100644
index 0000000000..f85a3a7a54
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetToggle.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ControlNetTogglePopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.controlNetToggle.paragraph')}
+      heading={t('popovers.controlNetToggle.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetWeight.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetWeight.tsx
new file mode 100644
index 0000000000..ee358651b3
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetWeight.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ControlNetWeightPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.controlNetWeight.paragraph')}
+      heading={t('popovers.controlNetWeight.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsCombinatorial.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsCombinatorial.tsx
new file mode 100644
index 0000000000..d294f41680
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsCombinatorial.tsx
@@ -0,0 +1,17 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const DynamicPromptsCombinatorialPopover = (
+  props: PropsWithChildren
+) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.dynamicPromptsCombinatorial.paragraph')}
+      heading={t('popovers.dynamicPromptsCombinatorial.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsToggle.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsToggle.tsx
new file mode 100644
index 0000000000..9222d0d03d
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsToggle.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const DynamicPromptsTogglePopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.dynamicPromptsToggle.paragraph')}
+      heading={t('popovers.dynamicPromptsToggle.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/infillMethod.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/infillMethod.tsx
new file mode 100644
index 0000000000..8a2fc562e1
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/infillMethod.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const InfillMethodPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.infillMethod.paragraph')}
+      heading={t('popovers.infillMethod.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/lora.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/lora.tsx
new file mode 100644
index 0000000000..fbeebb7bd7
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/lora.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const LoraPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.lora.paragraph')}
+      heading={t('popovers.lora.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/noiseEnable.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/noiseEnable.tsx
new file mode 100644
index 0000000000..cfe33e60ab
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/noiseEnable.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const NoiseEnablePopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.noiseEnable.paragraph')}
+      heading={t('popovers.noiseEnable.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/noiseUseCPU.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/noiseUseCPU.tsx
new file mode 100644
index 0000000000..88524eace5
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/noiseUseCPU.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const NoiseUseCPUPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.noiseUseCPU.paragraph')}
+      heading={t('popovers.noiseUseCPU.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramCFGScale.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramCFGScale.tsx
new file mode 100644
index 0000000000..47ab8acbbd
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramCFGScale.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ParamCFGScalePopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.paramsCFGScale.paragraph')}
+      heading={t('popovers.paramsCFGScale.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramDenoisingStrength.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramDenoisingStrength.tsx
new file mode 100644
index 0000000000..0c60604bcf
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramDenoisingStrength.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ParamDenoisingStrengthPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.paramsDenoisingStrength.paragraph')}
+      heading={t('popovers.paramsDenoisingStrength.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramImages.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramImages.tsx
new file mode 100644
index 0000000000..f9516f4df0
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramImages.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ParamImagesPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.paramImages.paragraph')}
+      heading={t('popovers.paramImages.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramModel.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramModel.tsx
new file mode 100644
index 0000000000..10a454cf18
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramModel.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ParamModelPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.paramModel.paragraph')}
+      heading={t('popovers.paramModel.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx
index 66c047fa26..8736559e61 100644
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx
@@ -1,12 +1,15 @@
 import { PropsWithChildren } from 'react';
 import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
 import InvokeAILogoImage from 'assets/images/logo.png';
+import { useTranslation } from 'react-i18next';
 
 export const ParamPositiveConditioningPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
   return (
     <IAIInformationalPopover
-      heading="Prompt Box"
-      paragraph="This is where you enter your prompt"
+      paragraph={t('popovers.paramPositiveConditioning.paragraph')}
+      heading={t('popovers.paramPositiveConditioning.heading')}
       buttonLabel="Learn more"
       buttonHref="http://google.com"
       image={InvokeAILogoImage}
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramScheduler.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramScheduler.tsx
new file mode 100644
index 0000000000..342ec6203d
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramScheduler.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ParamSchedulerPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.paramScheduler.paragraph')}
+      heading={t('popovers.paramScheduler.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramSeed.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramSeed.tsx
new file mode 100644
index 0000000000..5b0572224b
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramSeed.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ParamSeedPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.paramSeed.paragraph')}
+      heading={t('popovers.paramSeed.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramSteps.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramSteps.tsx
new file mode 100644
index 0000000000..d5dc47c336
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramSteps.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ParamStepsPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.paramSteps.paragraph')}
+      heading={t('popovers.paramSteps.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAE.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAE.tsx
new file mode 100644
index 0000000000..e006e162c6
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAE.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ParamVAEPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.paramVAE.paragraph')}
+      heading={t('popovers.paramVAE.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAEPrecision.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAEPrecision.tsx
new file mode 100644
index 0000000000..f2d70775b1
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAEPrecision.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ParamVAEPrecisionPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.paramVAEPrecision.paragraph')}
+      heading={t('popovers.paramVAEPrecision.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/scaleBeforeProcessing.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/scaleBeforeProcessing.tsx
new file mode 100644
index 0000000000..0390f342ba
--- /dev/null
+++ b/invokeai/frontend/web/src/features/informationalPopovers/components/scaleBeforeProcessing.tsx
@@ -0,0 +1,15 @@
+import { PropsWithChildren } from 'react';
+import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
+import { useTranslation } from 'react-i18next';
+
+export const ScaleBeforeProcessingPopover = (props: PropsWithChildren) => {
+  const { t } = useTranslation();
+
+  return (
+    <IAIInformationalPopover
+      paragraph={t('popovers.scaleBeforeProcessing.paragraph')}
+      heading={t('popovers.scaleBeforeProcessing.heading')}
+      triggerComponent={props.children}
+    />
+  );
+};
diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx
index 3432838ec0..3c57961f89 100644
--- a/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx
+++ b/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx
@@ -10,6 +10,7 @@ import {
   loraWeightChanged,
   loraWeightReset,
 } from '../store/loraSlice';
+import { LoraPopover } from 'features/informationalPopovers/components/lora';
 
 type Props = {
   lora: LoRA;
@@ -35,30 +36,32 @@ const ParamLora = (props: Props) => {
   }, [dispatch, lora.id]);
 
   return (
-    <Flex sx={{ gap: 2.5, alignItems: 'flex-end' }}>
-      <IAISlider
-        label={lora.model_name}
-        value={lora.weight}
-        onChange={handleChange}
-        min={-1}
-        max={2}
-        step={0.01}
-        withInput
-        withReset
-        handleReset={handleReset}
-        withSliderMarks
-        sliderMarks={[-1, 0, 1, 2]}
-        sliderNumberInputProps={{ min: -50, max: 50 }}
-      />
-      <IAIIconButton
-        size="sm"
-        onClick={handleRemoveLora}
-        tooltip="Remove LoRA"
-        aria-label="Remove LoRA"
-        icon={<FaTrash />}
-        colorScheme="error"
-      />
-    </Flex>
+    <LoraPopover>
+      <Flex sx={{ gap: 2.5, alignItems: 'flex-end' }}>
+        <IAISlider
+          label={lora.model_name}
+          value={lora.weight}
+          onChange={handleChange}
+          min={-1}
+          max={2}
+          step={0.01}
+          withInput
+          withReset
+          handleReset={handleReset}
+          withSliderMarks
+          sliderMarks={[-1, 0, 1, 2]}
+          sliderNumberInputProps={{ min: -50, max: 50 }}
+        />
+        <IAIIconButton
+          size="sm"
+          onClick={handleRemoveLora}
+          tooltip="Remove LoRA"
+          aria-label="Remove LoRA"
+          icon={<FaTrash />}
+          colorScheme="error"
+        />
+      </Flex>
+    </LoraPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
index f51e42b6a1..4faf8a8eac 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
@@ -1,6 +1,7 @@
 import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
+import { ClipSkipPopover } from 'features/informationalPopovers/components/clipSkip';
 import { setClipSkip } from 'features/parameters/store/generationSlice';
 import { clipSkipMap } from 'features/parameters/types/constants';
 import { useCallback, useMemo } from 'react';
@@ -42,19 +43,21 @@ export default function ParamClipSkip() {
   }, [model]);
 
   return (
-    <IAISlider
-      label={t('parameters.clipSkip')}
-      aria-label={t('parameters.clipSkip')}
-      min={0}
-      max={max}
-      step={1}
-      value={clipSkip}
-      onChange={handleClipSkipChange}
-      withSliderMarks
-      sliderMarks={sliderMarks}
-      withInput
-      withReset
-      handleReset={handleClipSkipReset}
-    />
+    <ClipSkipPopover>
+      <IAISlider
+        label={t('parameters.clipSkip')}
+        aria-label={t('parameters.clipSkip')}
+        min={0}
+        max={max}
+        step={1}
+        value={clipSkip}
+        onChange={handleClipSkipChange}
+        withSliderMarks
+        sliderMarks={sliderMarks}
+        withInput
+        withReset
+        handleReset={handleClipSkipReset}
+      />
+    </ClipSkipPopover>
   );
 }
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx
index afc68c94ac..169cb96db0 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx
@@ -2,6 +2,7 @@ import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { IAISelectDataType } from 'common/components/IAIMantineSearchableSelect';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
+import { CompositingModePopover } from 'features/informationalPopovers/components/compositingMode';
 import { setCanvasCoherenceMode } from 'features/parameters/store/generationSlice';
 import { CanvasCoherenceModeParam } from 'features/parameters/types/parameterSchemas';
 
@@ -30,12 +31,14 @@ const ParamCanvasCoherenceMode = () => {
   };
 
   return (
-    <IAIMantineSelect
-      label={t('parameters.coherenceMode')}
-      data={coherenceModeSelectData}
-      value={canvasCoherenceMode}
-      onChange={handleCoherenceModeChange}
-    />
+    <CompositingModePopover>
+      <IAIMantineSelect
+        label={t('parameters.coherenceMode')}
+        data={coherenceModeSelectData}
+        value={canvasCoherenceMode}
+        onChange={handleCoherenceModeChange}
+      />
+    </CompositingModePopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx
index 5482a7e1d9..187d6577e0 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx
@@ -1,6 +1,7 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
+import { CompositingStepsPopover } from 'features/informationalPopovers/components/compositingSteps';
 import { setCanvasCoherenceSteps } from 'features/parameters/store/generationSlice';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -13,23 +14,25 @@ const ParamCanvasCoherenceSteps = () => {
   const { t } = useTranslation();
 
   return (
-    <IAISlider
-      label={t('parameters.coherenceSteps')}
-      min={1}
-      max={100}
-      step={1}
-      sliderNumberInputProps={{ max: 999 }}
-      value={canvasCoherenceSteps}
-      onChange={(v) => {
-        dispatch(setCanvasCoherenceSteps(v));
-      }}
-      withInput
-      withSliderMarks
-      withReset
-      handleReset={() => {
-        dispatch(setCanvasCoherenceSteps(20));
-      }}
-    />
+    <CompositingStepsPopover>
+      <IAISlider
+        label={t('parameters.coherenceSteps')}
+        min={1}
+        max={100}
+        step={1}
+        sliderNumberInputProps={{ max: 999 }}
+        value={canvasCoherenceSteps}
+        onChange={(v) => {
+          dispatch(setCanvasCoherenceSteps(v));
+        }}
+        withInput
+        withSliderMarks
+        withReset
+        handleReset={() => {
+          dispatch(setCanvasCoherenceSteps(20));
+        }}
+      />
+    </CompositingStepsPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx
index f478bd70fe..c7e763c1eb 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx
@@ -1,6 +1,7 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
+import { CompositingStrengthPopover } from 'features/informationalPopovers/components/compositingStrength';
 import { setCanvasCoherenceStrength } from 'features/parameters/store/generationSlice';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -13,23 +14,25 @@ const ParamCanvasCoherenceStrength = () => {
   const { t } = useTranslation();
 
   return (
-    <IAISlider
-      label={t('parameters.coherenceStrength')}
-      min={0}
-      max={1}
-      step={0.01}
-      sliderNumberInputProps={{ max: 999 }}
-      value={canvasCoherenceStrength}
-      onChange={(v) => {
-        dispatch(setCanvasCoherenceStrength(v));
-      }}
-      withInput
-      withSliderMarks
-      withReset
-      handleReset={() => {
-        dispatch(setCanvasCoherenceStrength(0.3));
-      }}
-    />
+    <CompositingStrengthPopover>
+      <IAISlider
+        label={t('parameters.coherenceStrength')}
+        min={0}
+        max={1}
+        step={0.01}
+        sliderNumberInputProps={{ max: 999 }}
+        value={canvasCoherenceStrength}
+        onChange={(v) => {
+          dispatch(setCanvasCoherenceStrength(v));
+        }}
+        withInput
+        withSliderMarks
+        withReset
+        handleReset={() => {
+          dispatch(setCanvasCoherenceStrength(0.3));
+        }}
+      />
+    </CompositingStrengthPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx
index 82b82228e2..0211d4bf98 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx
@@ -1,6 +1,7 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
+import { CompositingBlurPopover } from 'features/informationalPopovers/components/compositingBlur';
 import { setMaskBlur } from 'features/parameters/store/generationSlice';
 import { useTranslation } from 'react-i18next';
 
@@ -12,21 +13,23 @@ export default function ParamMaskBlur() {
   const { t } = useTranslation();
 
   return (
-    <IAISlider
-      label={t('parameters.maskBlur')}
-      min={0}
-      max={64}
-      sliderNumberInputProps={{ max: 512 }}
-      value={maskBlur}
-      onChange={(v) => {
-        dispatch(setMaskBlur(v));
-      }}
-      withInput
-      withSliderMarks
-      withReset
-      handleReset={() => {
-        dispatch(setMaskBlur(16));
-      }}
-    />
+    <CompositingBlurPopover>
+      <IAISlider
+        label={t('parameters.maskBlur')}
+        min={0}
+        max={64}
+        sliderNumberInputProps={{ max: 512 }}
+        value={maskBlur}
+        onChange={(v) => {
+          dispatch(setMaskBlur(v));
+        }}
+        withInput
+        withSliderMarks
+        withReset
+        handleReset={() => {
+          dispatch(setMaskBlur(16));
+        }}
+      />
+    </CompositingBlurPopover>
   );
 }
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
index 62d0605640..77038066f9 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
@@ -3,6 +3,7 @@ import { RootState } from 'app/store/store';
 
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
+import { CompositingBlurMethodPopover } from 'features/informationalPopovers/components/compositingBlurMethod';
 import { setMaskBlurMethod } from 'features/parameters/store/generationSlice';
 import { useTranslation } from 'react-i18next';
 
@@ -28,11 +29,13 @@ export default function ParamMaskBlurMethod() {
   };
 
   return (
-    <IAIMantineSelect
-      value={maskBlurMethod}
-      onChange={handleMaskBlurMethodChange}
-      label={t('parameters.maskBlurMethod')}
-      data={maskBlurMethods}
-    />
+    <CompositingBlurMethodPopover>
+      <IAIMantineSelect
+        value={maskBlurMethod}
+        onChange={handleMaskBlurMethodChange}
+        label={t('parameters.maskBlurMethod')}
+        data={maskBlurMethods}
+      />
+    </CompositingBlurMethodPopover>
   );
 }
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx
index 9ac0e3588f..a6f531ae19 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx
@@ -3,6 +3,7 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
+import { InfillMethodPopover } from 'features/informationalPopovers/components/infillMethod';
 import { setInfillMethod } from 'features/parameters/store/generationSlice';
 
 import { memo, useCallback } from 'react';
@@ -39,14 +40,16 @@ const ParamInfillMethod = () => {
   );
 
   return (
-    <IAIMantineSelect
-      disabled={infill_methods?.length === 0}
-      placeholder={isLoading ? 'Loading...' : undefined}
-      label={t('parameters.infillMethod')}
-      value={infillMethod}
-      data={infill_methods ?? []}
-      onChange={handleChange}
-    />
+    <InfillMethodPopover>
+      <IAIMantineSelect
+        disabled={infill_methods?.length === 0}
+        placeholder={isLoading ? 'Loading...' : undefined}
+        label={t('parameters.infillMethod')}
+        value={infillMethod}
+        data={infill_methods ?? []}
+        onChange={handleChange}
+      />
+    </InfillMethodPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx
index e00d56b639..a1164605df 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx
@@ -8,6 +8,7 @@ import {
   BOUNDING_BOX_SCALES_DICT,
   BoundingBoxScale,
 } from 'features/canvas/store/canvasTypes';
+import { ScaleBeforeProcessingPopover } from 'features/informationalPopovers/components/scaleBeforeProcessing';
 
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -35,12 +36,14 @@ const ParamScaleBeforeProcessing = () => {
   };
 
   return (
-    <IAIMantineSearchableSelect
-      label={t('parameters.scaleBeforeProcessing')}
-      data={BOUNDING_BOX_SCALES_DICT}
-      value={boundingBoxScale}
-      onChange={handleChangeBoundingBoxScaleMethod}
-    />
+    <ScaleBeforeProcessingPopover>
+      <IAIMantineSearchableSelect
+        label={t('parameters.scaleBeforeProcessing')}
+        data={BOUNDING_BOX_SCALES_DICT}
+        value={boundingBoxScale}
+        onChange={handleChangeBoundingBoxScaleMethod}
+      />
+    </ScaleBeforeProcessingPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx
index 54a7ccbe65..e1413b9c2f 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx
@@ -4,6 +4,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAINumberInput from 'common/components/IAINumberInput';
 import IAISlider from 'common/components/IAISlider';
+import { ParamCFGScalePopover } from 'features/informationalPopovers/components/paramCFGScale';
 import { setCfgScale } from 'features/parameters/store/generationSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -53,31 +54,35 @@ const ParamCFGScale = () => {
   );
 
   return shouldUseSliders ? (
-    <IAISlider
-      label={t('parameters.cfgScale')}
-      step={shift ? 0.1 : 0.5}
-      min={min}
-      max={sliderMax}
-      onChange={handleChange}
-      handleReset={handleReset}
-      value={cfgScale}
-      sliderNumberInputProps={{ max: inputMax }}
-      withInput
-      withReset
-      withSliderMarks
-      isInteger={false}
-    />
+    <ParamCFGScalePopover>
+      <IAISlider
+        label={t('parameters.cfgScale')}
+        step={shift ? 0.1 : 0.5}
+        min={min}
+        max={sliderMax}
+        onChange={handleChange}
+        handleReset={handleReset}
+        value={cfgScale}
+        sliderNumberInputProps={{ max: inputMax }}
+        withInput
+        withReset
+        withSliderMarks
+        isInteger={false}
+      />
+    </ParamCFGScalePopover>
   ) : (
-    <IAINumberInput
-      label={t('parameters.cfgScale')}
-      step={0.5}
-      min={min}
-      max={inputMax}
-      onChange={handleChange}
-      value={cfgScale}
-      isInteger={false}
-      numberInputFieldProps={{ textAlign: 'center' }}
-    />
+    <ParamCFGScalePopover>
+      <IAINumberInput
+        label={t('parameters.cfgScale')}
+        step={0.5}
+        min={min}
+        max={inputMax}
+        onChange={handleChange}
+        value={cfgScale}
+        isInteger={false}
+        numberInputFieldProps={{ textAlign: 'center' }}
+      />
+    </ParamCFGScalePopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
index 1e203a1e45..391457a43b 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
@@ -4,6 +4,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAINumberInput from 'common/components/IAINumberInput';
 import IAISlider from 'common/components/IAISlider';
+import { ParamImagesPopover } from 'features/informationalPopovers/components/paramImages';
 import { setIterations } from 'features/parameters/store/generationSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -60,31 +61,35 @@ const ParamIterations = () => {
   }, [dispatch, initial]);
 
   return shouldUseSliders ? (
-    <IAISlider
-      isDisabled={isDisabled}
-      label={t('parameters.images')}
-      step={step}
-      min={min}
-      max={sliderMax}
-      onChange={handleChange}
-      handleReset={handleReset}
-      value={iterations}
-      withInput
-      withReset
-      withSliderMarks
-      sliderNumberInputProps={{ max: inputMax }}
-    />
+    <ParamImagesPopover>
+      <IAISlider
+        isDisabled={isDisabled}
+        label={t('parameters.images')}
+        step={step}
+        min={min}
+        max={sliderMax}
+        onChange={handleChange}
+        handleReset={handleReset}
+        value={iterations}
+        withInput
+        withReset
+        withSliderMarks
+        sliderNumberInputProps={{ max: inputMax }}
+      />
+    </ParamImagesPopover>
   ) : (
-    <IAINumberInput
-      isDisabled={isDisabled}
-      label={t('parameters.images')}
-      step={step}
-      min={min}
-      max={inputMax}
-      onChange={handleChange}
-      value={iterations}
-      numberInputFieldProps={{ textAlign: 'center' }}
-    />
+    <ParamImagesPopover>
+      <IAINumberInput
+        isDisabled={isDisabled}
+        label={t('parameters.images')}
+        step={step}
+        min={min}
+        max={inputMax}
+        onChange={handleChange}
+        value={iterations}
+        numberInputFieldProps={{ textAlign: 'center' }}
+      />
+    </ParamImagesPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx
index da1b359b37..e613b50b5b 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx
@@ -2,6 +2,7 @@ import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
+import { ParamSchedulerPopover } from 'features/informationalPopovers/components/paramScheduler';
 import { generationSelector } from 'features/parameters/store/generationSelectors';
 import { setScheduler } from 'features/parameters/store/generationSlice';
 import {
@@ -51,12 +52,14 @@ const ParamScheduler = () => {
   );
 
   return (
-    <IAIMantineSearchableSelect
-      label={t('parameters.scheduler')}
-      value={scheduler}
-      data={data}
-      onChange={handleChange}
-    />
+    <ParamSchedulerPopover>
+      <IAIMantineSearchableSelect
+        label={t('parameters.scheduler')}
+        value={scheduler}
+        data={data}
+        onChange={handleChange}
+      />
+    </ParamSchedulerPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx
index 3728e59158..dd1ee4c7f4 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx
@@ -5,6 +5,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAINumberInput from 'common/components/IAINumberInput';
 
 import IAISlider from 'common/components/IAISlider';
+import { ParamStepsPopover } from 'features/informationalPopovers/components/paramSteps';
 import {
   clampSymmetrySteps,
   setSteps,
@@ -56,30 +57,34 @@ const ParamSteps = () => {
   }, [dispatch]);
 
   return shouldUseSliders ? (
-    <IAISlider
-      label={t('parameters.steps')}
-      min={min}
-      max={sliderMax}
-      step={step}
-      onChange={handleChange}
-      handleReset={handleReset}
-      value={steps}
-      withInput
-      withReset
-      withSliderMarks
-      sliderNumberInputProps={{ max: inputMax }}
-    />
+    <ParamStepsPopover>
+      <IAISlider
+        label={t('parameters.steps')}
+        min={min}
+        max={sliderMax}
+        step={step}
+        onChange={handleChange}
+        handleReset={handleReset}
+        value={steps}
+        withInput
+        withReset
+        withSliderMarks
+        sliderNumberInputProps={{ max: inputMax }}
+      />
+    </ParamStepsPopover>
   ) : (
-    <IAINumberInput
-      label={t('parameters.steps')}
-      min={min}
-      max={inputMax}
-      step={step}
-      onChange={handleChange}
-      value={steps}
-      numberInputFieldProps={{ textAlign: 'center' }}
-      onBlur={handleBlur}
-    />
+    <ParamStepsPopover>
+      <IAINumberInput
+        label={t('parameters.steps')}
+        min={min}
+        max={inputMax}
+        step={step}
+        onChange={handleChange}
+        value={steps}
+        numberInputFieldProps={{ textAlign: 'center' }}
+        onBlur={handleBlur}
+      />
+    </ParamStepsPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index 05b5b6468a..daebc503a5 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -21,6 +21,7 @@ import {
   useGetOnnxModelsQuery,
 } from 'services/api/endpoints/models';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
+import { ParamModelPopover } from 'features/informationalPopovers/components/paramModel';
 
 const selector = createSelector(
   stateSelector,
@@ -118,24 +119,28 @@ const ParamMainModelSelect = () => {
       data={[]}
     />
   ) : (
-    <Flex w="100%" alignItems="center" gap={3}>
-      <IAIMantineSearchableSelect
-        tooltip={selectedModel?.description}
-        label={t('modelManager.model')}
-        value={selectedModel?.id}
-        placeholder={data.length > 0 ? 'Select a model' : 'No models available'}
-        data={data}
-        error={data.length === 0}
-        disabled={data.length === 0}
-        onChange={handleChangeModel}
-        w="100%"
-      />
-      {isSyncModelEnabled && (
-        <Box mt={7}>
-          <SyncModelsButton iconMode />
-        </Box>
-      )}
-    </Flex>
+    <ParamModelPopover>
+      <Flex w="100%" alignItems="center" gap={3}>
+        <IAIMantineSearchableSelect
+          tooltip={selectedModel?.description}
+          label={t('modelManager.model')}
+          value={selectedModel?.id}
+          placeholder={
+            data.length > 0 ? 'Select a model' : 'No models available'
+          }
+          data={data}
+          error={data.length === 0}
+          disabled={data.length === 0}
+          onChange={handleChangeModel}
+          w="100%"
+        />
+        {isSyncModelEnabled && (
+          <Box mt={7}>
+            <SyncModelsButton iconMode />
+          </Box>
+        )}
+      </Flex>
+    </ParamModelPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
index 45fd7fcf57..cf4a8fcdbf 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
@@ -3,6 +3,7 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
+import { NoiseUseCPUPopover } from 'features/informationalPopovers/components/noiseUseCPU';
 import { shouldUseCpuNoiseChanged } from 'features/parameters/store/generationSlice';
 import { ChangeEvent } from 'react';
 
@@ -26,11 +27,13 @@ export const ParamCpuNoiseToggle = () => {
     dispatch(shouldUseCpuNoiseChanged(e.target.checked));
 
   return (
-    <IAISwitch
-      isDisabled={isDisabled}
-      label="Use CPU Noise"
-      isChecked={shouldUseCpuNoise}
-      onChange={handleChange}
-    />
+    <NoiseUseCPUPopover>
+      <IAISwitch
+        isDisabled={isDisabled}
+        label="Use CPU Noise"
+        isChecked={shouldUseCpuNoise}
+        onChange={handleChange}
+      />
+    </NoiseUseCPUPopover>
   );
 };
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
index c1c2fb5119..87bb0c5fb8 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
@@ -1,6 +1,7 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAISwitch from 'common/components/IAISwitch';
+import { NoiseEnablePopover } from 'features/informationalPopovers/components/noiseEnable';
 import { setShouldUseNoiseSettings } from 'features/parameters/store/generationSlice';
 import { ChangeEvent } from 'react';
 
@@ -15,10 +16,12 @@ export const ParamNoiseToggle = () => {
     dispatch(setShouldUseNoiseSettings(e.target.checked));
 
   return (
-    <IAISwitch
-      label="Enable Noise Settings"
-      isChecked={shouldUseNoiseSettings}
-      onChange={handleChange}
-    />
+    <NoiseEnablePopover>
+      <IAISwitch
+        label="Enable Noise Settings"
+        isChecked={shouldUseNoiseSettings}
+        onChange={handleChange}
+      />
+    </NoiseEnablePopover>
   );
 };
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
index a1887ec896..e14dea6ec5 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
@@ -3,14 +3,17 @@ import { memo } from 'react';
 import ParamSeed from './ParamSeed';
 import ParamSeedShuffle from './ParamSeedShuffle';
 import ParamSeedRandomize from './ParamSeedRandomize';
+import { ParamSeedPopover } from 'features/informationalPopovers/components/paramSeed';
 
 const ParamSeedFull = () => {
   return (
-    <Flex sx={{ gap: 3, alignItems: 'flex-end' }}>
-      <ParamSeed />
-      <ParamSeedShuffle />
-      <ParamSeedRandomize />
-    </Flex>
+    <ParamSeedPopover>
+      <Flex sx={{ gap: 3, alignItems: 'flex-end' }}>
+        <ParamSeed />
+        <ParamSeedShuffle />
+        <ParamSeedRandomize />
+      </Flex>
+    </ParamSeedPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx
index f82b02b5af..5adb13ef45 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx
@@ -15,6 +15,7 @@ import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectI
 import { vaeSelected } from 'features/parameters/store/generationSlice';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToVAEModelParam } from 'features/parameters/util/modelIdToVAEModelParam';
+import { ParamVAEPopover } from 'features/informationalPopovers/components/paramVAE';
 
 const selector = createSelector(
   stateSelector,
@@ -93,17 +94,19 @@ const ParamVAEModelSelect = () => {
   );
 
   return (
-    <IAIMantineSearchableSelect
-      itemComponent={IAIMantineSelectItemWithTooltip}
-      tooltip={selectedVaeModel?.description}
-      label={t('modelManager.vae')}
-      value={selectedVaeModel?.id ?? 'default'}
-      placeholder="Default"
-      data={data}
-      onChange={handleChangeModel}
-      disabled={data.length === 0}
-      clearable
-    />
+    <ParamVAEPopover>
+      <IAIMantineSearchableSelect
+        itemComponent={IAIMantineSelectItemWithTooltip}
+        tooltip={selectedVaeModel?.description}
+        label={t('modelManager.vae')}
+        value={selectedVaeModel?.id ?? 'default'}
+        placeholder="Default"
+        data={data}
+        onChange={handleChangeModel}
+        disabled={data.length === 0}
+        clearable
+      />
+    </ParamVAEPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
index c57cdc1132..d72e39eb46 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
@@ -3,6 +3,7 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
+import { ParamVAEPrecisionPopover } from 'features/informationalPopovers/components/paramVAEPrecision';
 import { vaePrecisionChanged } from 'features/parameters/store/generationSlice';
 import { PrecisionParam } from 'features/parameters/types/parameterSchemas';
 import { memo, useCallback } from 'react';
@@ -34,12 +35,14 @@ const ParamVAEModelSelect = () => {
   );
 
   return (
-    <IAIMantineSelect
-      label="VAE Precision"
-      value={vaePrecision}
-      data={DATA}
-      onChange={handleChange}
-    />
+    <ParamVAEPrecisionPopover>
+      <IAIMantineSelect
+        label="VAE Precision"
+        value={vaePrecision}
+        data={DATA}
+        onChange={handleChange}
+      />
+    </ParamVAEPrecisionPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
index 66ad518655..5b0567578f 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
@@ -7,6 +7,7 @@ import SubParametersWrapper from 'features/parameters/components/Parameters/SubP
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { setSDXLImg2ImgDenoisingStrength } from '../store/sdxlSlice';
+import { ParamDenoisingStrengthPopover } from 'features/informationalPopovers/components/paramDenoisingStrength';
 
 const selector = createSelector(
   [stateSelector],
@@ -36,19 +37,21 @@ const ParamSDXLImg2ImgDenoisingStrength = () => {
 
   return (
     <SubParametersWrapper>
-      <IAISlider
-        label={`${t('parameters.denoisingStrength')}`}
-        step={0.01}
-        min={0}
-        max={1}
-        onChange={handleChange}
-        handleReset={handleReset}
-        value={sdxlImg2ImgDenoisingStrength}
-        isInteger={false}
-        withInput
-        withSliderMarks
-        withReset
-      />
+      <ParamDenoisingStrengthPopover>
+        <IAISlider
+          label={`${t('parameters.denoisingStrength')}`}
+          step={0.01}
+          min={0}
+          max={1}
+          onChange={handleChange}
+          handleReset={handleReset}
+          value={sdxlImg2ImgDenoisingStrength}
+          isInteger={false}
+          withInput
+          withSliderMarks
+          withReset
+        />
+      </ParamDenoisingStrengthPopover>
     </SubParametersWrapper>
   );
 };

From ff3150a818245c6dc83ba742045f18d5242a7c0d Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Wed, 13 Sep 2023 21:37:08 +0300
Subject: [PATCH 160/265] Update lora hotfix to new diffusers version(scale
 argument added)

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

diff --git a/invokeai/backend/util/hotfixes.py b/invokeai/backend/util/hotfixes.py
index 983d0b7601..852d640161 100644
--- a/invokeai/backend/util/hotfixes.py
+++ b/invokeai/backend/util/hotfixes.py
@@ -772,11 +772,13 @@ diffusers.models.controlnet.ControlNetModel = ControlNetModel
 # NOTE: with this patch, torch.compile crashes on 2.0 torch(already fixed in nightly)
 # https://github.com/huggingface/diffusers/pull/4315
 # https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/lora.py#L96C18-L96C18
-def new_LoRACompatibleConv_forward(self, x):
+def new_LoRACompatibleConv_forward(self, hidden_states, scale: float = 1.0):
     if self.lora_layer is None:
-        return super(diffusers.models.lora.LoRACompatibleConv, self).forward(x)
+        return super(diffusers.models.lora.LoRACompatibleConv, self).forward(hidden_states)
     else:
-        return super(diffusers.models.lora.LoRACompatibleConv, self).forward(x) + self.lora_layer(x)
+        return super(diffusers.models.lora.LoRACompatibleConv, self).forward(hidden_states) + (
+            scale * self.lora_layer(hidden_states)
+        )
 
 
 diffusers.models.lora.LoRACompatibleConv.forward = new_LoRACompatibleConv_forward

From 343df03a9224dd6d064f8418e88aba54fe6980c4 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 15 Sep 2023 13:18:00 -0400
Subject: [PATCH 161/265] isort

---
 invokeai/app/invocations/ip_adapter.py            |  4 +---
 invokeai/app/invocations/latent.py                |  9 ++-------
 invokeai/app/invocations/onnx.py                  | 15 ++-------------
 .../backend/ip_adapter/attention_processor.py     |  4 +---
 .../backend/model_management/models/ip_adapter.py |  6 +-----
 5 files changed, 7 insertions(+), 31 deletions(-)

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index 9857054b47..bf15115ed8 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -16,9 +16,7 @@ from invokeai.app.invocations.baseinvocation import (
 )
 from invokeai.app.invocations.primitives import ImageField
 from invokeai.backend.model_management.models.base import BaseModelType, ModelType
-from invokeai.backend.model_management.models.ip_adapter import (
-    get_ip_adapter_image_encoder_model_id,
-)
+from invokeai.backend.model_management.models.ip_adapter import get_ip_adapter_image_encoder_model_id
 
 
 class IPAdapterModelField(BaseModel):
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 89912f9864..da7b819038 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -35,10 +35,7 @@ from invokeai.app.util.controlnet_utils import prepare_control_image
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
-from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
-    ConditioningData,
-    IPAdapterConditioningInfo,
-)
+from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ConditioningData, IPAdapterConditioningInfo
 
 from ...backend.model_management.lora import ModelPatcher
 from ...backend.model_management.models import BaseModelType
@@ -50,9 +47,7 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
     StableDiffusionGeneratorPipeline,
     image_resized_to_grid_as_tensor,
 )
-from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import (
-    PostprocessingSettings,
-)
+from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
 from ...backend.util.devices import choose_precision, choose_torch_device
 from ..models.image import ImageCategory, ResourceOrigin
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index c73221f8a0..4c7fab44d8 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -13,12 +13,7 @@ from pydantic import BaseModel, Field, validator
 from tqdm import tqdm
 
 from invokeai.app.invocations.metadata import CoreMetadata
-from invokeai.app.invocations.primitives import (
-    ConditioningField,
-    ConditioningOutput,
-    ImageField,
-    ImageOutput,
-)
+from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput, ImageField, ImageOutput
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend import BaseModelType, ModelType, SubModelType
 
@@ -40,13 +35,7 @@ from .baseinvocation import (
     invocation_output,
 )
 from .controlnet_image_processors import ControlField
-from .latent import (
-    SAMPLER_NAME_VALUES,
-    LatentsField,
-    LatentsOutput,
-    build_latents_output,
-    get_scheduler,
-)
+from .latent import SAMPLER_NAME_VALUES, LatentsField, LatentsOutput, build_latents_output, get_scheduler
 from .model import ClipField, ModelInfo, UNetField, VaeField
 
 ORT_TO_NP_TYPE = {
diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
index b2876620cd..f9854c978c 100644
--- a/invokeai/backend/ip_adapter/attention_processor.py
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -7,9 +7,7 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 from diffusers.models.attention_processor import AttnProcessor as DiffusersAttnProcessor
-from diffusers.models.attention_processor import (
-    AttnProcessor2_0 as DiffusersAttnProcessor2_0,
-)
+from diffusers.models.attention_processor import AttnProcessor2_0 as DiffusersAttnProcessor2_0
 
 
 # Create versions of AttnProcessor and AttnProcessor2_0 that are sub-classes of nn.Module. This is required for
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index 208d5e7c4d..8e1e97c9e0 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -5,11 +5,7 @@ from typing import Literal, Optional
 
 import torch
 
-from invokeai.backend.ip_adapter.ip_adapter import (
-    IPAdapter,
-    IPAdapterPlus,
-    build_ip_adapter,
-)
+from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, build_ip_adapter
 from invokeai.backend.model_management.models.base import (
     BaseModelType,
     InvalidModelException,

From b75c56768d9b81a362c51abb32f84e947d89f9eb Mon Sep 17 00:00:00 2001
From: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Date: Fri, 15 Sep 2023 13:52:11 -0400
Subject: [PATCH 162/265] Unmasked default

---
 .../web/src/features/parameters/store/generationSlice.ts        | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
index 50d9894b27..dc79281a06 100644
--- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
+++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
@@ -80,7 +80,7 @@ export const initialGenerationState: GenerationState = {
   scheduler: 'euler',
   maskBlur: 16,
   maskBlurMethod: 'box',
-  canvasCoherenceMode: 'edge',
+  canvasCoherenceMode: 'unmasked',
   canvasCoherenceSteps: 20,
   canvasCoherenceStrength: 0.3,
   seed: 0,

From 45d5ab20eccbeba271bd52b11fa44910fac1d718 Mon Sep 17 00:00:00 2001
From: Jennifer Player <chainchompa@gmail.com>
Date: Fri, 15 Sep 2023 14:36:36 -0400
Subject: [PATCH 163/265] remove individual popover components

---
 .../components/IAIInformationalPopover.tsx    | 19 +++++++-----
 .../parameters/ParamControlNetBeginEnd.tsx    | 22 ++-----------
 .../parameters/ParamControlNetControlMode.tsx |  6 ++--
 .../ParamControlNetFeatureToggle.tsx          |  6 ++--
 .../parameters/ParamControlNetResizeMode.tsx  |  6 ++--
 .../parameters/ParamControlNetWeight.tsx      |  6 ++--
 .../ParamDynamicPromptsCombinatorial.tsx      |  6 ++--
 .../components/ParamDynamicPromptsEnabled.tsx |  7 ++---
 .../components/clipSkip.tsx                   | 15 ---------
 .../components/compositingBlur.tsx            | 15 ---------
 .../components/compositingBlurMethod.tsx      | 15 ---------
 .../components/compositingCoherencePass.tsx   | 15 ---------
 .../components/compositingMode.tsx            | 15 ---------
 .../components/compositingSteps.tsx           | 15 ---------
 .../components/compositingStrength.tsx        | 15 ---------
 .../components/compositiveMaskAdjustments.tsx | 15 ---------
 .../components/controlNetBeginEnd.tsx         | 15 ---------
 .../components/controlNetControlMode.tsx      | 15 ---------
 .../components/controlNetResizeMode.tsx       | 15 ---------
 .../components/controlNetToggle.tsx           | 15 ---------
 .../components/controlNetWeight.tsx           | 15 ---------
 .../dynamicPromptsCombinatorial.tsx           | 17 ----------
 .../components/dynamicPromptsToggle.tsx       | 15 ---------
 .../components/infillMethod.tsx               | 15 ---------
 .../informationalPopovers/components/lora.tsx | 15 ---------
 .../components/noiseEnable.tsx                | 15 ---------
 .../components/noiseUseCPU.tsx                | 15 ---------
 .../components/paramCFGScale.tsx              | 15 ---------
 .../components/paramDenoisingStrength.tsx     | 15 ---------
 .../components/paramImages.tsx                | 15 ---------
 .../components/paramModel.tsx                 | 15 ---------
 .../components/paramPositiveConditioning.tsx  | 19 ------------
 .../components/paramScheduler.tsx             | 15 ---------
 .../components/paramSeed.tsx                  | 15 ---------
 .../components/paramSteps.tsx                 | 15 ---------
 .../components/paramVAE.tsx                   | 15 ---------
 .../components/paramVAEPrecision.tsx          | 15 ---------
 .../components/scaleBeforeProcessing.tsx      | 15 ---------
 .../features/lora/components/ParamLora.tsx    |  6 ++--
 .../Parameters/Advanced/ParamClipSkip.tsx     |  6 ++--
 .../ParamCanvasCoherenceMode.tsx              |  6 ++--
 .../ParamCanvasCoherenceSteps.tsx             |  6 ++--
 .../ParamCanvasCoherenceStrength.tsx          |  6 ++--
 .../MaskAdjustment/ParamMaskBlur.tsx          |  6 ++--
 .../MaskAdjustment/ParamMaskBlurMethod.tsx    |  6 ++--
 .../InfillAndScaling/ParamInfillMethod.tsx    |  6 ++--
 .../ParamScaleBeforeProcessing.tsx            |  6 ++--
 .../Parameters/Core/ParamCFGScale.tsx         | 10 +++---
 .../Parameters/Core/ParamIterations.tsx       |  9 +++---
 .../Core/ParamPositiveConditioning.tsx        |  5 ++-
 .../Parameters/Core/ParamScheduler.tsx        |  6 ++--
 .../components/Parameters/Core/ParamSteps.tsx | 10 +++---
 .../ImageToImage/ImageToImageStrength.tsx     | 31 ++++++++++---------
 .../MainModel/ParamMainModelSelect.tsx        |  6 ++--
 .../Parameters/Noise/ParamCpuNoise.tsx        |  6 ++--
 .../Parameters/Noise/ParamNoiseToggle.tsx     |  6 ++--
 .../Parameters/Seed/ParamSeedFull.tsx         |  6 ++--
 .../VAEModel/ParamVAEModelSelect.tsx          |  6 ++--
 .../Parameters/VAEModel/ParamVAEPrecision.tsx |  6 ++--
 .../ParamSDXLImg2ImgDenoisingStrength.tsx     |  6 ++--
 60 files changed, 117 insertions(+), 584 deletions(-)
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/clipSkip.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlur.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlurMethod.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingCoherencePass.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingMode.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingSteps.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositingStrength.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/compositiveMaskAdjustments.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/controlNetBeginEnd.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/controlNetControlMode.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/controlNetResizeMode.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/controlNetToggle.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/controlNetWeight.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsCombinatorial.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsToggle.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/infillMethod.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/lora.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/noiseEnable.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/noiseUseCPU.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramCFGScale.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramDenoisingStrength.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramImages.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramModel.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramScheduler.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramSeed.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramSteps.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramVAE.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/paramVAEPrecision.tsx
 delete mode 100644 invokeai/frontend/web/src/features/informationalPopovers/components/scaleBeforeProcessing.tsx

diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
index a5bc691bf6..2c5d1b7599 100644
--- a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
@@ -15,11 +15,11 @@ import {
 import { ReactNode } from 'react';
 import { useAppSelector } from '../../app/store/storeHooks';
 import { systemSelector } from '../../features/system/store/systemSelectors';
+import { useTranslation } from 'react-i18next';
 
 interface Props extends PopoverProps {
-  heading?: string;
-  paragraph: string;
-  triggerComponent: ReactNode;
+  details: string;
+  children: ReactNode;
   image?: string;
   buttonLabel?: string;
   buttonHref?: string;
@@ -27,18 +27,21 @@ interface Props extends PopoverProps {
 }
 
 function IAIInformationalPopover({
-  heading,
-  paragraph,
+  details,
   image,
   buttonLabel,
   buttonHref,
-  triggerComponent,
+  children,
   placement,
 }: Props) {
   const { shouldDisableInformationalPopovers } = useAppSelector(systemSelector);
+  const { t } = useTranslation();
+
+  const heading = t(`popovers.${details}.heading`);
+  const paragraph = t(`popovers.${details}.paragraph`);
 
   if (shouldDisableInformationalPopovers) {
-    return triggerComponent;
+    return children;
   } else {
     return (
       <Popover
@@ -48,7 +51,7 @@ function IAIInformationalPopover({
         variant="informational"
       >
         <PopoverTrigger>
-          <div>{triggerComponent}</div>
+          <div>{children}</div>
         </PopoverTrigger>
         <PopoverContent>
           <PopoverArrow />
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
index fa91003c8d..fb43c3553d 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
@@ -10,12 +10,12 @@ import {
   Tooltip,
 } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import {
   ControlNetConfig,
   controlNetBeginStepPctChanged,
   controlNetEndStepPctChanged,
 } from 'features/controlNet/store/controlNetSlice';
-import { ControlNetBeginEndPopover } from 'features/informationalPopovers/components/controlNetBeginEnd';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
@@ -50,7 +50,7 @@ const ParamControlNetBeginEnd = (props: Props) => {
   );
 
   return (
-    <ControlNetBeginEndPopover>
+    <IAIInformationalPopover details="controlNetBeginEnd">
       <FormControl isDisabled={!isEnabled}>
         <FormLabel>{t('controlnet.beginEndStepPercent')}</FormLabel>
         <HStack w="100%" gap={2} alignItems="center">
@@ -64,22 +64,6 @@ const ParamControlNetBeginEnd = (props: Props) => {
             minStepsBetweenThumbs={5}
             isDisabled={!isEnabled}
           >
-            <RangeSliderTrack>
-              <RangeSliderFilledTrack />
-            </RangeSliderTrack>
-            <Tooltip label={formatPct(beginStepPct)} placement="top" hasArrow>
-              <RangeSliderThumb index={0} />
-            </Tooltip>
-            <Tooltip label={formatPct(endStepPct)} placement="top" hasArrow>
-              <RangeSliderThumb index={1} />
-            </Tooltip>
-            <RangeSliderMark
-              value={0}
-              sx={{
-                insetInlineStart: '0 !important',
-                insetInlineEnd: 'unset !important',
-              }}
-            >
             <RangeSliderTrack>
               <RangeSliderFilledTrack />
             </RangeSliderTrack>
@@ -119,7 +103,7 @@ const ParamControlNetBeginEnd = (props: Props) => {
           </RangeSlider>
         </HStack>
       </FormControl>
-    </ControlNetBeginEndPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
index 5b2c1b169f..9b17c2bfb2 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
@@ -1,11 +1,11 @@
 import { useAppDispatch } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import {
   ControlModes,
   ControlNetConfig,
   controlNetControlModeChanged,
 } from 'features/controlNet/store/controlNetSlice';
-import { ControlNetControlModePopover } from 'features/informationalPopovers/components/controlNetControlMode';
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
@@ -35,7 +35,7 @@ export default function ParamControlNetControlMode(
   );
 
   return (
-    <ControlNetControlModePopover>
+    <IAIInformationalPopover details="controlNetControlMode">
       <IAIMantineSelect
         disabled={!isEnabled}
         label={t('controlnet.controlMode')}
@@ -43,6 +43,6 @@ export default function ParamControlNetControlMode(
         value={String(controlMode)}
         onChange={handleControlModeChange}
       />
-    </ControlNetControlModePopover>
+    </IAIInformationalPopover>
   );
 }
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
index 930ec26de7..1902d622ff 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
@@ -2,9 +2,9 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAISwitch from 'common/components/IAISwitch';
 import { isControlNetEnabledToggled } from 'features/controlNet/store/controlNetSlice';
-import { ControlNetTogglePopover } from 'features/informationalPopovers/components/controlnetToggle';
 import { memo, useCallback } from 'react';
 
 const selector = createSelector(
@@ -26,7 +26,7 @@ const ParamControlNetFeatureToggle = () => {
   }, [dispatch]);
 
   return (
-    <ControlNetTogglePopover>
+    <IAIInformationalPopover details="controlNetToggle">
       <IAISwitch
         label="Enable ControlNet"
         isChecked={isEnabled}
@@ -35,7 +35,7 @@ const ParamControlNetFeatureToggle = () => {
           width: '100%',
         }}
       />
-    </ControlNetTogglePopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
index f84c2b9f13..0ad2f342b2 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
@@ -1,11 +1,11 @@
 import { useAppDispatch } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import {
   ControlNetConfig,
   ResizeModes,
   controlNetResizeModeChanged,
 } from 'features/controlNet/store/controlNetSlice';
-import { ControlNetResizeModePopover } from 'features/informationalPopovers/components/controlNetResizeMode';
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
@@ -34,7 +34,7 @@ export default function ParamControlNetResizeMode(
   );
 
   return (
-    <ControlNetResizeModePopover>
+    <IAIInformationalPopover details="controlNetResizeMode">
       <IAIMantineSelect
         disabled={!isEnabled}
         label={t('controlnet.resizeMode')}
@@ -42,6 +42,6 @@ export default function ParamControlNetResizeMode(
         value={String(resizeMode)}
         onChange={handleResizeModeChange}
       />
-    </ControlNetResizeModePopover>
+    </IAIInformationalPopover>
   );
 }
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
index 58f7f4ffb1..4e9928d828 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
@@ -1,10 +1,10 @@
 import { useAppDispatch } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
 import {
   ControlNetConfig,
   controlNetWeightChanged,
 } from 'features/controlNet/store/controlNetSlice';
-import { ControlNetWeightPopover } from 'features/informationalPopovers/components/controlNetWeight';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
@@ -24,7 +24,7 @@ const ParamControlNetWeight = (props: ParamControlNetWeightProps) => {
   );
 
   return (
-    <ControlNetWeightPopover>
+    <IAIInformationalPopover details="controlNetWeight">
       <IAISlider
         isDisabled={!isEnabled}
         label={t('controlnet.weight')}
@@ -36,7 +36,7 @@ const ParamControlNetWeight = (props: ParamControlNetWeightProps) => {
         withSliderMarks
         sliderMarks={[0, 1, 2]}
       />
-    </ControlNetWeightPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
index 1b227d2191..d2013c2b89 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
@@ -5,8 +5,8 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
 import { memo, useCallback } from 'react';
 import { combinatorialToggled } from '../store/dynamicPromptsSlice';
-import { DynamicPromptsCombinatorialPopover } from 'features/informationalPopovers/components/dynamicPromptsCombinatorial';
 import { useTranslation } from 'react-i18next';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const selector = createSelector(
   stateSelector,
@@ -28,14 +28,14 @@ const ParamDynamicPromptsCombinatorial = () => {
   }, [dispatch]);
 
   return (
-    <DynamicPromptsCombinatorialPopover>
+    <IAIInformationalPopover details="dynamicPromptsCombinatorial">
       <IAISwitch
         isDisabled={isDisabled}
         label={t('prompt.combinatorial')}
         isChecked={combinatorial}
         onChange={handleChange}
       />
-    </DynamicPromptsCombinatorialPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
index cdbb3b17db..e6e1a6a031 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
@@ -5,8 +5,8 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
 import { memo, useCallback } from 'react';
 import { isEnabledToggled } from '../store/dynamicPromptsSlice';
-import { DynamicPromptsTogglePopover } from 'features/informationalPopovers/components/dynamicPromptsToggle';
 import { useTranslation } from 'react-i18next';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const selector = createSelector(
   stateSelector,
@@ -28,14 +28,13 @@ const ParamDynamicPromptsToggle = () => {
   }, [dispatch]);
 
   return (
-    <DynamicPromptsTogglePopover>
+    <IAIInformationalPopover details="dynamicPromptsToggle">
       <IAISwitch
         label={t('prompt.enableDynamicPrompts')}
         isChecked={isEnabled}
         onChange={handleToggleIsEnabled}
       />
-    </DynamicPromptsTogglePopover>
-
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/clipSkip.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/clipSkip.tsx
deleted file mode 100644
index c267fbc8f2..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/clipSkip.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ClipSkipPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.clipSkip.paragraph')}
-      heading={t('popovers.clipSkip.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlur.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlur.tsx
deleted file mode 100644
index 3dfdbd33ec..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlur.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const CompositingBlurPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.compositingBlur.paragraph')}
-      heading={t('popovers.compositingBlur.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlurMethod.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlurMethod.tsx
deleted file mode 100644
index 9fbc5f2cf9..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingBlurMethod.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const CompositingBlurMethodPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.compositingBlurMethod.paragraph')}
-      heading={t('popovers.compositingBlurMethod.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingCoherencePass.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingCoherencePass.tsx
deleted file mode 100644
index 462d136553..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingCoherencePass.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const CompositingCoherencePassPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.compositingCoherencePass.paragraph')}
-      heading={t('popovers.compositingCoherencePass.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingMode.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingMode.tsx
deleted file mode 100644
index d5bb12f09f..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingMode.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const CompositingModePopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.compositingMode.paragraph')}
-      heading={t('popovers.compositingMode.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingSteps.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingSteps.tsx
deleted file mode 100644
index a8aef2b9d8..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingSteps.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const CompositingStepsPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.compositingSteps.paragraph')}
-      heading={t('popovers.compositingSteps.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingStrength.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositingStrength.tsx
deleted file mode 100644
index 9a0d6d2f68..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/compositingStrength.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const CompositingStrengthPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.compositingStrength.paragraph')}
-      heading={t('popovers.compositingStrength.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/compositiveMaskAdjustments.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/compositiveMaskAdjustments.tsx
deleted file mode 100644
index 541e6c1e56..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/compositiveMaskAdjustments.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const CompositingMaskAdjustmentsPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.compositingMaskAdjustments.paragraph')}
-      heading={t('popovers.compositingMaskAdjustments.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetBeginEnd.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetBeginEnd.tsx
deleted file mode 100644
index fbf2b25d30..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetBeginEnd.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ControlNetBeginEndPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.controlNetBeginEnd.paragraph')}
-      heading={t('popovers.controlNetBeginEnd.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetControlMode.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetControlMode.tsx
deleted file mode 100644
index f8a844edae..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetControlMode.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ControlNetControlModePopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.controlNetControlMode.paragraph')}
-      heading={t('popovers.controlNetControlMode.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetResizeMode.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetResizeMode.tsx
deleted file mode 100644
index 00dfae502b..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetResizeMode.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ControlNetResizeModePopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.controlNetResizeMode.paragraph')}
-      heading={t('popovers.controlNetResizeMode.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetToggle.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetToggle.tsx
deleted file mode 100644
index f85a3a7a54..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetToggle.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ControlNetTogglePopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.controlNetToggle.paragraph')}
-      heading={t('popovers.controlNetToggle.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetWeight.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetWeight.tsx
deleted file mode 100644
index ee358651b3..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/controlNetWeight.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ControlNetWeightPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.controlNetWeight.paragraph')}
-      heading={t('popovers.controlNetWeight.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsCombinatorial.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsCombinatorial.tsx
deleted file mode 100644
index d294f41680..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsCombinatorial.tsx
+++ /dev/null
@@ -1,17 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const DynamicPromptsCombinatorialPopover = (
-  props: PropsWithChildren
-) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.dynamicPromptsCombinatorial.paragraph')}
-      heading={t('popovers.dynamicPromptsCombinatorial.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsToggle.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsToggle.tsx
deleted file mode 100644
index 9222d0d03d..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/dynamicPromptsToggle.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const DynamicPromptsTogglePopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.dynamicPromptsToggle.paragraph')}
-      heading={t('popovers.dynamicPromptsToggle.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/infillMethod.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/infillMethod.tsx
deleted file mode 100644
index 8a2fc562e1..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/infillMethod.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const InfillMethodPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.infillMethod.paragraph')}
-      heading={t('popovers.infillMethod.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/lora.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/lora.tsx
deleted file mode 100644
index fbeebb7bd7..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/lora.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const LoraPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.lora.paragraph')}
-      heading={t('popovers.lora.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/noiseEnable.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/noiseEnable.tsx
deleted file mode 100644
index cfe33e60ab..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/noiseEnable.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const NoiseEnablePopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.noiseEnable.paragraph')}
-      heading={t('popovers.noiseEnable.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/noiseUseCPU.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/noiseUseCPU.tsx
deleted file mode 100644
index 88524eace5..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/noiseUseCPU.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const NoiseUseCPUPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.noiseUseCPU.paragraph')}
-      heading={t('popovers.noiseUseCPU.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramCFGScale.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramCFGScale.tsx
deleted file mode 100644
index 47ab8acbbd..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramCFGScale.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ParamCFGScalePopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.paramsCFGScale.paragraph')}
-      heading={t('popovers.paramsCFGScale.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramDenoisingStrength.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramDenoisingStrength.tsx
deleted file mode 100644
index 0c60604bcf..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramDenoisingStrength.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ParamDenoisingStrengthPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.paramsDenoisingStrength.paragraph')}
-      heading={t('popovers.paramsDenoisingStrength.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramImages.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramImages.tsx
deleted file mode 100644
index f9516f4df0..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramImages.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ParamImagesPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.paramImages.paragraph')}
-      heading={t('popovers.paramImages.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramModel.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramModel.tsx
deleted file mode 100644
index 10a454cf18..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramModel.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ParamModelPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.paramModel.paragraph')}
-      heading={t('popovers.paramModel.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx
deleted file mode 100644
index 8736559e61..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramPositiveConditioning.tsx
+++ /dev/null
@@ -1,19 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import InvokeAILogoImage from 'assets/images/logo.png';
-import { useTranslation } from 'react-i18next';
-
-export const ParamPositiveConditioningPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.paramPositiveConditioning.paragraph')}
-      heading={t('popovers.paramPositiveConditioning.heading')}
-      buttonLabel="Learn more"
-      buttonHref="http://google.com"
-      image={InvokeAILogoImage}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramScheduler.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramScheduler.tsx
deleted file mode 100644
index 342ec6203d..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramScheduler.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ParamSchedulerPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.paramScheduler.paragraph')}
-      heading={t('popovers.paramScheduler.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramSeed.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramSeed.tsx
deleted file mode 100644
index 5b0572224b..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramSeed.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ParamSeedPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.paramSeed.paragraph')}
-      heading={t('popovers.paramSeed.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramSteps.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramSteps.tsx
deleted file mode 100644
index d5dc47c336..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramSteps.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ParamStepsPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.paramSteps.paragraph')}
-      heading={t('popovers.paramSteps.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAE.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAE.tsx
deleted file mode 100644
index e006e162c6..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAE.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ParamVAEPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.paramVAE.paragraph')}
-      heading={t('popovers.paramVAE.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAEPrecision.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAEPrecision.tsx
deleted file mode 100644
index f2d70775b1..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/paramVAEPrecision.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ParamVAEPrecisionPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.paramVAEPrecision.paragraph')}
-      heading={t('popovers.paramVAEPrecision.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/informationalPopovers/components/scaleBeforeProcessing.tsx b/invokeai/frontend/web/src/features/informationalPopovers/components/scaleBeforeProcessing.tsx
deleted file mode 100644
index 0390f342ba..0000000000
--- a/invokeai/frontend/web/src/features/informationalPopovers/components/scaleBeforeProcessing.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { PropsWithChildren } from 'react';
-import IAIInformationalPopover from '../../../common/components/IAIInformationalPopover';
-import { useTranslation } from 'react-i18next';
-
-export const ScaleBeforeProcessingPopover = (props: PropsWithChildren) => {
-  const { t } = useTranslation();
-
-  return (
-    <IAIInformationalPopover
-      paragraph={t('popovers.scaleBeforeProcessing.paragraph')}
-      heading={t('popovers.scaleBeforeProcessing.heading')}
-      triggerComponent={props.children}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx
index 3c57961f89..951de86217 100644
--- a/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx
+++ b/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx
@@ -10,7 +10,7 @@ import {
   loraWeightChanged,
   loraWeightReset,
 } from '../store/loraSlice';
-import { LoraPopover } from 'features/informationalPopovers/components/lora';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 type Props = {
   lora: LoRA;
@@ -36,7 +36,7 @@ const ParamLora = (props: Props) => {
   }, [dispatch, lora.id]);
 
   return (
-    <LoraPopover>
+    <IAIInformationalPopover details="lora">
       <Flex sx={{ gap: 2.5, alignItems: 'flex-end' }}>
         <IAISlider
           label={lora.model_name}
@@ -61,7 +61,7 @@ const ParamLora = (props: Props) => {
           colorScheme="error"
         />
       </Flex>
-    </LoraPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
index 4faf8a8eac..a7d3d3c655 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
@@ -1,7 +1,7 @@
 import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
-import { ClipSkipPopover } from 'features/informationalPopovers/components/clipSkip';
 import { setClipSkip } from 'features/parameters/store/generationSlice';
 import { clipSkipMap } from 'features/parameters/types/constants';
 import { useCallback, useMemo } from 'react';
@@ -43,7 +43,7 @@ export default function ParamClipSkip() {
   }, [model]);
 
   return (
-    <ClipSkipPopover>
+    <IAIInformationalPopover details="clipSkip">
       <IAISlider
         label={t('parameters.clipSkip')}
         aria-label={t('parameters.clipSkip')}
@@ -58,6 +58,6 @@ export default function ParamClipSkip() {
         withReset
         handleReset={handleClipSkipReset}
       />
-    </ClipSkipPopover>
+    </IAIInformationalPopover>
   );
 }
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx
index 169cb96db0..62bfca901c 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx
@@ -1,8 +1,8 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import { IAISelectDataType } from 'common/components/IAIMantineSearchableSelect';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
-import { CompositingModePopover } from 'features/informationalPopovers/components/compositingMode';
 import { setCanvasCoherenceMode } from 'features/parameters/store/generationSlice';
 import { CanvasCoherenceModeParam } from 'features/parameters/types/parameterSchemas';
 
@@ -31,14 +31,14 @@ const ParamCanvasCoherenceMode = () => {
   };
 
   return (
-    <CompositingModePopover>
+    <IAIInformationalPopover details="compositingCoherenceMode">
       <IAIMantineSelect
         label={t('parameters.coherenceMode')}
         data={coherenceModeSelectData}
         value={canvasCoherenceMode}
         onChange={handleCoherenceModeChange}
       />
-    </CompositingModePopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx
index 187d6577e0..f7de446737 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx
@@ -1,7 +1,7 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
-import { CompositingStepsPopover } from 'features/informationalPopovers/components/compositingSteps';
 import { setCanvasCoherenceSteps } from 'features/parameters/store/generationSlice';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -14,7 +14,7 @@ const ParamCanvasCoherenceSteps = () => {
   const { t } = useTranslation();
 
   return (
-    <CompositingStepsPopover>
+    <IAIInformationalPopover details="compositingCoherenceSteps">
       <IAISlider
         label={t('parameters.coherenceSteps')}
         min={1}
@@ -32,7 +32,7 @@ const ParamCanvasCoherenceSteps = () => {
           dispatch(setCanvasCoherenceSteps(20));
         }}
       />
-    </CompositingStepsPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx
index c7e763c1eb..31b86cfd49 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx
@@ -1,7 +1,7 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
-import { CompositingStrengthPopover } from 'features/informationalPopovers/components/compositingStrength';
 import { setCanvasCoherenceStrength } from 'features/parameters/store/generationSlice';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -14,7 +14,7 @@ const ParamCanvasCoherenceStrength = () => {
   const { t } = useTranslation();
 
   return (
-    <CompositingStrengthPopover>
+    <IAIInformationalPopover details="compositingStrength">
       <IAISlider
         label={t('parameters.coherenceStrength')}
         min={0}
@@ -32,7 +32,7 @@ const ParamCanvasCoherenceStrength = () => {
           dispatch(setCanvasCoherenceStrength(0.3));
         }}
       />
-    </CompositingStrengthPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx
index 0211d4bf98..da68f5ed3c 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx
@@ -1,7 +1,7 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
-import { CompositingBlurPopover } from 'features/informationalPopovers/components/compositingBlur';
 import { setMaskBlur } from 'features/parameters/store/generationSlice';
 import { useTranslation } from 'react-i18next';
 
@@ -13,7 +13,7 @@ export default function ParamMaskBlur() {
   const { t } = useTranslation();
 
   return (
-    <CompositingBlurPopover>
+    <IAIInformationalPopover details="compositingBlur">
       <IAISlider
         label={t('parameters.maskBlur')}
         min={0}
@@ -30,6 +30,6 @@ export default function ParamMaskBlur() {
           dispatch(setMaskBlur(16));
         }}
       />
-    </CompositingBlurPopover>
+    </IAIInformationalPopover>
   );
 }
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
index 77038066f9..8b17f46298 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
@@ -2,8 +2,8 @@ import { SelectItem } from '@mantine/core';
 import { RootState } from 'app/store/store';
 
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
-import { CompositingBlurMethodPopover } from 'features/informationalPopovers/components/compositingBlurMethod';
 import { setMaskBlurMethod } from 'features/parameters/store/generationSlice';
 import { useTranslation } from 'react-i18next';
 
@@ -29,13 +29,13 @@ export default function ParamMaskBlurMethod() {
   };
 
   return (
-    <CompositingBlurMethodPopover>
+    <IAIInformationalPopover details="compositingBlur">
       <IAIMantineSelect
         value={maskBlurMethod}
         onChange={handleMaskBlurMethodChange}
         label={t('parameters.maskBlurMethod')}
         data={maskBlurMethods}
       />
-    </CompositingBlurMethodPopover>
+    </IAIInformationalPopover>
   );
 }
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx
index a6f531ae19..7a4ac1601d 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx
@@ -2,8 +2,8 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
-import { InfillMethodPopover } from 'features/informationalPopovers/components/infillMethod';
 import { setInfillMethod } from 'features/parameters/store/generationSlice';
 
 import { memo, useCallback } from 'react';
@@ -40,7 +40,7 @@ const ParamInfillMethod = () => {
   );
 
   return (
-    <InfillMethodPopover>
+    <IAIInformationalPopover details="infillMethod">
       <IAIMantineSelect
         disabled={infill_methods?.length === 0}
         placeholder={isLoading ? 'Loading...' : undefined}
@@ -49,7 +49,7 @@ const ParamInfillMethod = () => {
         data={infill_methods ?? []}
         onChange={handleChange}
       />
-    </InfillMethodPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx
index a1164605df..a1c63d6ddb 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx
@@ -1,6 +1,7 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
 import { canvasSelector } from 'features/canvas/store/canvasSelectors';
 import { setBoundingBoxScaleMethod } from 'features/canvas/store/canvasSlice';
@@ -8,7 +9,6 @@ import {
   BOUNDING_BOX_SCALES_DICT,
   BoundingBoxScale,
 } from 'features/canvas/store/canvasTypes';
-import { ScaleBeforeProcessingPopover } from 'features/informationalPopovers/components/scaleBeforeProcessing';
 
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -36,14 +36,14 @@ const ParamScaleBeforeProcessing = () => {
   };
 
   return (
-    <ScaleBeforeProcessingPopover>
+    <IAIInformationalPopover details="scaleBeforeProcessing">
       <IAIMantineSearchableSelect
         label={t('parameters.scaleBeforeProcessing')}
         data={BOUNDING_BOX_SCALES_DICT}
         value={boundingBoxScale}
         onChange={handleChangeBoundingBoxScaleMethod}
       />
-    </ScaleBeforeProcessingPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx
index e1413b9c2f..51d6edc2dc 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx
@@ -2,9 +2,9 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAINumberInput from 'common/components/IAINumberInput';
 import IAISlider from 'common/components/IAISlider';
-import { ParamCFGScalePopover } from 'features/informationalPopovers/components/paramCFGScale';
 import { setCfgScale } from 'features/parameters/store/generationSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -54,7 +54,7 @@ const ParamCFGScale = () => {
   );
 
   return shouldUseSliders ? (
-    <ParamCFGScalePopover>
+    <IAIInformationalPopover details="paramCFGScale">
       <IAISlider
         label={t('parameters.cfgScale')}
         step={shift ? 0.1 : 0.5}
@@ -69,9 +69,9 @@ const ParamCFGScale = () => {
         withSliderMarks
         isInteger={false}
       />
-    </ParamCFGScalePopover>
+    </IAIInformationalPopover>
   ) : (
-    <ParamCFGScalePopover>
+    <IAIInformationalPopover details="paramCFGScale">
       <IAINumberInput
         label={t('parameters.cfgScale')}
         step={0.5}
@@ -82,7 +82,7 @@ const ParamCFGScale = () => {
         isInteger={false}
         numberInputFieldProps={{ textAlign: 'center' }}
       />
-    </ParamCFGScalePopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
index 391457a43b..3b8c88ce83 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
@@ -2,6 +2,7 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAINumberInput from 'common/components/IAINumberInput';
 import IAISlider from 'common/components/IAISlider';
 import { ParamImagesPopover } from 'features/informationalPopovers/components/paramImages';
@@ -61,7 +62,7 @@ const ParamIterations = () => {
   }, [dispatch, initial]);
 
   return shouldUseSliders ? (
-    <ParamImagesPopover>
+    <IAIInformationalPopover details="paramImages">
       <IAISlider
         isDisabled={isDisabled}
         label={t('parameters.images')}
@@ -76,9 +77,9 @@ const ParamIterations = () => {
         withSliderMarks
         sliderNumberInputProps={{ max: inputMax }}
       />
-    </ParamImagesPopover>
+    </IAIInformationalPopover>
   ) : (
-    <ParamImagesPopover>
+    <IAIInformationalPopover details="paramImages">
       <IAINumberInput
         isDisabled={isDisabled}
         label={t('parameters.images')}
@@ -89,7 +90,7 @@ const ParamIterations = () => {
         value={iterations}
         numberInputFieldProps={{ textAlign: 'center' }}
       />
-    </ParamImagesPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
index a36fe687e5..9f7df78a9c 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
@@ -29,7 +29,6 @@ import { useTranslation } from 'react-i18next';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
 import IAIInformationalPopover from '../../../../../common/components/IAIInformationalPopover';
 import InvokeAILogoImage from 'assets/images/logo.png';
-import { ParamPositiveConditioningPopover } from '../../../../informationalPopovers/components/paramPositiveConditioning';
 
 const promptInputSelector = createSelector(
   [stateSelector, activeTabNameSelector],
@@ -139,7 +138,7 @@ const ParamPositiveConditioning = () => {
           onClose={onClose}
           onSelect={handleSelectEmbedding}
         >
-          <ParamPositiveConditioningPopover>
+          <IAIInformationalPopover details="paramPositiveConditioning">
             <IAITextarea
               id="prompt"
               name="prompt"
@@ -151,7 +150,7 @@ const ParamPositiveConditioning = () => {
               resize="vertical"
               minH={32}
             />
-          </ParamPositiveConditioningPopover>
+          </IAIInformationalPopover>
         </ParamEmbeddingPopover>
       </FormControl>
       {!isOpen && isEmbeddingEnabled && (
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx
index e613b50b5b..3aadac0457 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx
@@ -1,8 +1,8 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
-import { ParamSchedulerPopover } from 'features/informationalPopovers/components/paramScheduler';
 import { generationSelector } from 'features/parameters/store/generationSelectors';
 import { setScheduler } from 'features/parameters/store/generationSlice';
 import {
@@ -52,14 +52,14 @@ const ParamScheduler = () => {
   );
 
   return (
-    <ParamSchedulerPopover>
+    <IAIInformationalPopover details="paramScheduler">
       <IAIMantineSearchableSelect
         label={t('parameters.scheduler')}
         value={scheduler}
         data={data}
         onChange={handleChange}
       />
-    </ParamSchedulerPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx
index dd1ee4c7f4..61bdec571d 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx
@@ -2,10 +2,10 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAINumberInput from 'common/components/IAINumberInput';
 
 import IAISlider from 'common/components/IAISlider';
-import { ParamStepsPopover } from 'features/informationalPopovers/components/paramSteps';
 import {
   clampSymmetrySteps,
   setSteps,
@@ -57,7 +57,7 @@ const ParamSteps = () => {
   }, [dispatch]);
 
   return shouldUseSliders ? (
-    <ParamStepsPopover>
+    <IAIInformationalPopover details="paramSteps">
       <IAISlider
         label={t('parameters.steps')}
         min={min}
@@ -71,9 +71,9 @@ const ParamSteps = () => {
         withSliderMarks
         sliderNumberInputProps={{ max: inputMax }}
       />
-    </ParamStepsPopover>
+    </IAIInformationalPopover>
   ) : (
-    <ParamStepsPopover>
+    <IAIInformationalPopover details="paramSteps">
       <IAINumberInput
         label={t('parameters.steps')}
         min={min}
@@ -84,7 +84,7 @@ const ParamSteps = () => {
         numberInputFieldProps={{ textAlign: 'center' }}
         onBlur={handleBlur}
       />
-    </ParamStepsPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx
index 2a14ee634c..b22dff22e5 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx
@@ -7,6 +7,7 @@ import { setImg2imgStrength } from 'features/parameters/store/generationSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import SubParametersWrapper from '../SubParametersWrapper';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const selector = createSelector(
   [stateSelector],
@@ -46,20 +47,22 @@ const ImageToImageStrength = () => {
 
   return (
     <SubParametersWrapper>
-      <IAISlider
-        label={`${t('parameters.denoisingStrength')}`}
-        step={step}
-        min={min}
-        max={sliderMax}
-        onChange={handleChange}
-        handleReset={handleReset}
-        value={img2imgStrength}
-        isInteger={false}
-        withInput
-        withSliderMarks
-        withReset
-        sliderNumberInputProps={{ max: inputMax }}
-      />
+      <IAIInformationalPopover details="paramDenoisingStrength">
+        <IAISlider
+          label={`${t('parameters.denoisingStrength')}`}
+          step={step}
+          min={min}
+          max={sliderMax}
+          onChange={handleChange}
+          handleReset={handleReset}
+          value={img2imgStrength}
+          isInteger={false}
+          withInput
+          withSliderMarks
+          withReset
+          sliderNumberInputProps={{ max: inputMax }}
+        />
+      </IAIInformationalPopover>
     </SubParametersWrapper>
   );
 };
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index daebc503a5..9c957523bc 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -21,7 +21,7 @@ import {
   useGetOnnxModelsQuery,
 } from 'services/api/endpoints/models';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
-import { ParamModelPopover } from 'features/informationalPopovers/components/paramModel';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const selector = createSelector(
   stateSelector,
@@ -119,7 +119,7 @@ const ParamMainModelSelect = () => {
       data={[]}
     />
   ) : (
-    <ParamModelPopover>
+    <IAIInformationalPopover details="paramModel" placement="bottom">
       <Flex w="100%" alignItems="center" gap={3}>
         <IAIMantineSearchableSelect
           tooltip={selectedModel?.description}
@@ -140,7 +140,7 @@ const ParamMainModelSelect = () => {
           </Box>
         )}
       </Flex>
-    </ParamModelPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
index 11feff880d..9c5fe30a08 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
@@ -2,8 +2,8 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAISwitch from 'common/components/IAISwitch';
-import { NoiseUseCPUPopover } from 'features/informationalPopovers/components/noiseUseCPU';
 import { shouldUseCpuNoiseChanged } from 'features/parameters/store/generationSlice';
 import { ChangeEvent } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -29,13 +29,13 @@ export const ParamCpuNoiseToggle = () => {
     dispatch(shouldUseCpuNoiseChanged(e.target.checked));
 
   return (
-    <NoiseUseCPUPopover>
+    <IAIInformationalPopover details="noiseUseCPU">
       <IAISwitch
         isDisabled={isDisabled}
         label={t('parameters.useCpuNoise')}
         isChecked={shouldUseCpuNoise}
         onChange={handleChange}
       />
-    </NoiseUseCPUPopover>
+    </IAIInformationalPopover>
   );
 };
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
index 9f3e674c1c..d17e643df7 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
@@ -1,7 +1,7 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAISwitch from 'common/components/IAISwitch';
-import { NoiseEnablePopover } from 'features/informationalPopovers/components/noiseEnable';
 import { setShouldUseNoiseSettings } from 'features/parameters/store/generationSlice';
 import { ChangeEvent } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -18,12 +18,12 @@ export const ParamNoiseToggle = () => {
     dispatch(setShouldUseNoiseSettings(e.target.checked));
 
   return (
-    <NoiseEnablePopover>
+    <IAIInformationalPopover details="noiseEnable">
       <IAISwitch
         label={t('parameters.enableNoiseSettings')}
         isChecked={shouldUseNoiseSettings}
         onChange={handleChange}
       />
-    </NoiseEnablePopover>
+    </IAIInformationalPopover>
   );
 };
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
index e14dea6ec5..8ddba1cbb2 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
@@ -3,17 +3,17 @@ import { memo } from 'react';
 import ParamSeed from './ParamSeed';
 import ParamSeedShuffle from './ParamSeedShuffle';
 import ParamSeedRandomize from './ParamSeedRandomize';
-import { ParamSeedPopover } from 'features/informationalPopovers/components/paramSeed';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const ParamSeedFull = () => {
   return (
-    <ParamSeedPopover>
+    <IAIInformationalPopover details="paramSeed">
       <Flex sx={{ gap: 3, alignItems: 'flex-end' }}>
         <ParamSeed />
         <ParamSeedShuffle />
         <ParamSeedRandomize />
       </Flex>
-    </ParamSeedPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx
index 5adb13ef45..c551562962 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx
@@ -15,7 +15,7 @@ import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectI
 import { vaeSelected } from 'features/parameters/store/generationSlice';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToVAEModelParam } from 'features/parameters/util/modelIdToVAEModelParam';
-import { ParamVAEPopover } from 'features/informationalPopovers/components/paramVAE';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const selector = createSelector(
   stateSelector,
@@ -94,7 +94,7 @@ const ParamVAEModelSelect = () => {
   );
 
   return (
-    <ParamVAEPopover>
+    <IAIInformationalPopover details="paramVAE">
       <IAIMantineSearchableSelect
         itemComponent={IAIMantineSelectItemWithTooltip}
         tooltip={selectedVaeModel?.description}
@@ -106,7 +106,7 @@ const ParamVAEModelSelect = () => {
         disabled={data.length === 0}
         clearable
       />
-    </ParamVAEPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
index d72e39eb46..5fa15c5fe3 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
@@ -2,8 +2,8 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
-import { ParamVAEPrecisionPopover } from 'features/informationalPopovers/components/paramVAEPrecision';
 import { vaePrecisionChanged } from 'features/parameters/store/generationSlice';
 import { PrecisionParam } from 'features/parameters/types/parameterSchemas';
 import { memo, useCallback } from 'react';
@@ -35,14 +35,14 @@ const ParamVAEModelSelect = () => {
   );
 
   return (
-    <ParamVAEPrecisionPopover>
+    <IAIInformationalPopover details="paramVAEPrecision">
       <IAIMantineSelect
         label="VAE Precision"
         value={vaePrecision}
         data={DATA}
         onChange={handleChange}
       />
-    </ParamVAEPrecisionPopover>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
index 8917633869..dc8ae775f9 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
@@ -7,7 +7,7 @@ import SubParametersWrapper from 'features/parameters/components/Parameters/SubP
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { setSDXLImg2ImgDenoisingStrength } from '../store/sdxlSlice';
-import { ParamDenoisingStrengthPopover } from 'features/informationalPopovers/components/paramDenoisingStrength';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const selector = createSelector(
   [stateSelector],
@@ -37,7 +37,7 @@ const ParamSDXLImg2ImgDenoisingStrength = () => {
 
   return (
     <SubParametersWrapper>
-      <ParamDenoisingStrengthPopover>
+      <IAIInformationalPopover details="paramDenoisingStrength">
         <IAISlider
           label={t('sdxl.denoisingStrength')}
           step={0.01}
@@ -51,7 +51,7 @@ const ParamSDXLImg2ImgDenoisingStrength = () => {
           withSliderMarks
           withReset
         />
-      </ParamDenoisingStrengthPopover>
+      </IAIInformationalPopover>
     </SubParametersWrapper>
   );
 };

From 2ce07a47302c555f573188c7c6ec492af4b1ff4d Mon Sep 17 00:00:00 2001
From: Jennifer Player <chainchompa@gmail.com>
Date: Fri, 15 Sep 2023 14:48:36 -0400
Subject: [PATCH 164/265] popovers updates

---
 invokeai/frontend/web/public/locales/en.json  | 14 ++++++----
 .../BoundingBox/ParamBoundingBoxSize.tsx      | 27 ++++++++++---------
 .../Parameters/Core/ParamIterations.tsx       |  1 -
 .../Core/ParamPositiveConditioning.tsx        | 10 +------
 .../components/Parameters/Core/ParamSize.tsx  | 27 ++++++++++---------
 5 files changed, 40 insertions(+), 39 deletions(-)

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 1cad7b5e55..a742262a16 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -996,7 +996,7 @@
             "heading": "Use CPU Noise",
             "paragraph": "Uses the CPU to generate random noise."
         },
-        "paramsCFGScale": {
+        "paramCFGScale": {
             "heading": "CFG Scale",
             "paragraph": "Controls how much your prompt influences the generation process."
         },
@@ -1012,10 +1012,18 @@
             "heading": "Model",
             "paragraph": "Model used for the denoising steps. Different models are trained to specialize in producing different aesthetic results and content."
         },
+        "paramNegativeConditioning": {
+            "heading": "Negative Prompts",
+            "paragraph": "This is where you enter your negative prompts."
+        },
         "paramPositiveConditioning": {
             "heading": "Positive Prompts",
             "paragraph": "This is where you enter your positive prompts."
         },
+        "paramRatio": {
+            "heading": "Ratio",
+            "paragraph": "The ratio of the dimensions of the image generated. An image size (in number of pixels) equivalent to 512x512 is recommended for SD1.5 models and a size equivalent to 1024x1024 is recommended for SDXL models."
+        },
         "paramScheduler": {
             "heading": "Scheduler",
             "paragraph": "Scheduler defines how to iteratively add noise to an image or how to update a sample based on a model's output."
@@ -1024,10 +1032,6 @@
             "heading": "Seed",
             "paragraph": "Controls the starting noise used for generation. Disable “Random Seed” to produce identical results with the same generation settings."
         },
-        "paramNegativeConditioning": {
-            "heading": "Negative Prompts",
-            "paragraph": "This is where you enter your negative prompts."
-        },
         "paramSteps": {
             "heading": "Steps",
             "paragraph": "Number of steps that will be performed in each generation. Higher step counts will typically create better images but will require more generation time."
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx
index 1c1f60bc09..a3eb428526 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx
@@ -18,6 +18,7 @@ import ParamAspectRatio, {
 } from '../../Core/ParamAspectRatio';
 import ParamBoundingBoxHeight from './ParamBoundingBoxHeight';
 import ParamBoundingBoxWidth from './ParamBoundingBoxWidth';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const sizeOptsSelector = createSelector(
   [generationSelector, canvasSelector],
@@ -93,18 +94,20 @@ export default function ParamBoundingBoxSize() {
       }}
     >
       <Flex alignItems="center" gap={2}>
-        <Text
-          sx={{
-            fontSize: 'sm',
-            width: 'full',
-            color: 'base.700',
-            _dark: {
-              color: 'base.300',
-            },
-          }}
-        >
-          {t('parameters.aspectRatio')}
-        </Text>
+        <IAIInformationalPopover details="paramRatio">
+          <Text
+            sx={{
+              fontSize: 'sm',
+              width: 'full',
+              color: 'base.700',
+              _dark: {
+                color: 'base.300',
+              },
+            }}
+          >
+            {t('parameters.aspectRatio')}
+          </Text>
+        </IAIInformationalPopover>
         <Spacer />
         <ParamAspectRatio />
         <IAIIconButton
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
index 3b8c88ce83..881e7cc340 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
@@ -5,7 +5,6 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAINumberInput from 'common/components/IAINumberInput';
 import IAISlider from 'common/components/IAISlider';
-import { ParamImagesPopover } from 'features/informationalPopovers/components/paramImages';
 import { setIterations } from 'features/parameters/store/generationSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
index 9f7df78a9c..eb106bfc7c 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
@@ -1,11 +1,4 @@
-import {
-  Box,
-  FormControl,
-  Text,
-  Tooltip,
-  useDisclosure,
-  Heading,
-} from '@chakra-ui/react';
+import { Box, FormControl, useDisclosure } from '@chakra-ui/react';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
@@ -28,7 +21,6 @@ import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
 import IAIInformationalPopover from '../../../../../common/components/IAIInformationalPopover';
-import InvokeAILogoImage from 'assets/images/logo.png';
 
 const promptInputSelector = createSelector(
   [stateSelector, activeTabNameSelector],
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
index 63700c4922..98550ccb52 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
@@ -16,6 +16,7 @@ import { activeTabNameSelector } from '../../../../ui/store/uiSelectors';
 import ParamAspectRatio, { mappedAspectRatios } from './ParamAspectRatio';
 import ParamHeight from './ParamHeight';
 import ParamWidth from './ParamWidth';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const sizeOptsSelector = createSelector(
   [generationSelector, activeTabNameSelector],
@@ -81,18 +82,20 @@ export default function ParamSize() {
       }}
     >
       <Flex alignItems="center" gap={2}>
-        <Text
-          sx={{
-            fontSize: 'sm',
-            width: 'full',
-            color: 'base.700',
-            _dark: {
-              color: 'base.300',
-            },
-          }}
-        >
-          {t('parameters.aspectRatio')}
-        </Text>
+        <IAIInformationalPopover details="paramRatio">
+          <Text
+            sx={{
+              fontSize: 'sm',
+              width: 'full',
+              color: 'base.700',
+              _dark: {
+                color: 'base.300',
+              },
+            }}
+          >
+            {t('parameters.aspectRatio')}
+          </Text>
+        </IAIInformationalPopover>
         <Spacer />
         <ParamAspectRatio />
         <IAIIconButton

From f7b64304ae15e270b70a7ace5bfe243e8ad3f40c Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 16 Sep 2023 11:33:29 +1200
Subject: [PATCH 165/265] wip: Add IP Adapter To Linear UI

---
 invokeai/frontend/web/public/locales/en.json  |  5 +-
 .../listeners/imageDropped.ts                 | 19 +++-
 .../listeners/imageUploaded.ts                | 18 +++-
 .../controlNet/components/ControlNet.tsx      |  2 +-
 .../components/ipAdapter/IPAdapterPanel.tsx   | 33 +++++++
 .../ipAdapter/ParamIPAdapterFeatureToggle.tsx | 41 ++++++++
 .../ipAdapter/ParamIPAdapterImage.tsx         | 69 +++++++++++++
 .../ipAdapter/ParamIPAdapterModelSelect.tsx   | 97 +++++++++++++++++++
 .../ipAdapter/ParamIPAdapterWeight.tsx        | 40 ++++++++
 .../controlNet/store/controlNetSlice.ts       | 39 +++++++-
 .../web/src/features/dnd/types/index.ts       |  5 +
 .../web/src/features/dnd/util/isValidDrop.ts  |  2 +
 .../addIPAdapterToLinearGraph.ts              | 57 +++++++++++
 .../buildCanvasImageToImageGraph.ts           |  4 +
 .../graphBuilders/buildCanvasInpaintGraph.ts  |  4 +
 .../graphBuilders/buildCanvasOutpaintGraph.ts |  4 +
 .../buildCanvasSDXLImageToImageGraph.ts       |  4 +
 .../buildCanvasSDXLInpaintGraph.ts            |  4 +
 .../buildCanvasSDXLOutpaintGraph.ts           |  4 +
 .../buildCanvasSDXLTextToImageGraph.ts        |  4 +
 .../buildCanvasTextToImageGraph.ts            |  4 +
 .../buildLinearImageToImageGraph.ts           |  4 +
 .../buildLinearSDXLImageToImageGraph.ts       |  4 +
 .../buildLinearSDXLTextToImageGraph.ts        |  4 +
 .../buildLinearTextToImageGraph.ts            |  4 +
 .../nodes/util/graphBuilders/constants.ts     |  1 +
 .../ControlNet/ParamControlNetCollapse.tsx    |  2 +
 .../parameters/types/parameterSchemas.ts      |  2 +-
 .../frontend/web/src/services/api/schema.d.ts | 36 +++----
 .../frontend/web/src/services/api/types.ts    |  7 ++
 30 files changed, 497 insertions(+), 26 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx
 create mode 100644 invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx
 create mode 100644 invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
 create mode 100644 invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx
 create mode 100644 invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index d846f3ca47..5bb7c73227 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -191,7 +191,9 @@
         "showAdvanced": "Show Advanced",
         "toggleControlNet": "Toggle this ControlNet",
         "w": "W",
-        "weight": "Weight"
+        "weight": "Weight",
+        "enableIPAdapter": "Enable IP Adapter",
+        "ipAdapterModel": "Adapter Model"
     },
     "embedding": {
         "addEmbedding": "Add Embedding",
@@ -1036,6 +1038,7 @@
         "serverError": "Server Error",
         "setCanvasInitialImage": "Set as canvas initial image",
         "setControlImage": "Set as control image",
+        "setIPAdapterImage": "Set as IP Adapter Image",
         "setInitialImage": "Set as initial image",
         "setNodeField": "Set as node field",
         "tempFoldersEmptied": "Temp Folder Emptied",
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
index fc0b44653d..e8b4aa9210 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
@@ -1,7 +1,11 @@
 import { createAction } from '@reduxjs/toolkit';
 import { logger } from 'app/logging/logger';
+import { parseify } from 'common/util/serialize';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
-import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice';
+import {
+  controlNetImageChanged,
+  ipAdapterImageChanged,
+} from 'features/controlNet/store/controlNetSlice';
 import {
   TypesafeDraggableData,
   TypesafeDroppableData,
@@ -14,7 +18,6 @@ import {
 import { initialImageChanged } from 'features/parameters/store/generationSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '../';
-import { parseify } from 'common/util/serialize';
 
 export const dndDropped = createAction<{
   overData: TypesafeDroppableData;
@@ -99,6 +102,18 @@ export const addImageDroppedListener = () => {
         return;
       }
 
+      /**
+       * Image dropped on IP Adapter image
+       */
+      if (
+        overData.actionType === 'SET_IP_ADAPTER_IMAGE' &&
+        activeData.payloadType === 'IMAGE_DTO' &&
+        activeData.payload.imageDTO
+      ) {
+        dispatch(ipAdapterImageChanged(activeData.payload.imageDTO));
+        return;
+      }
+
       /**
        * Image dropped on Canvas
        */
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
index 2cc406469b..1c7caaeb2f 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
@@ -1,15 +1,18 @@
 import { UseToastOptions } from '@chakra-ui/react';
 import { logger } from 'app/logging/logger';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
-import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice';
+import {
+  controlNetImageChanged,
+  ipAdapterImageChanged,
+} from 'features/controlNet/store/controlNetSlice';
 import { fieldImageValueChanged } from 'features/nodes/store/nodesSlice';
 import { initialImageChanged } from 'features/parameters/store/generationSlice';
 import { addToast } from 'features/system/store/systemSlice';
+import { t } from 'i18next';
 import { omit } from 'lodash-es';
 import { boardsApi } from 'services/api/endpoints/boards';
 import { startAppListening } from '..';
 import { imagesApi } from '../../../../../services/api/endpoints/images';
-import { t } from 'i18next';
 
 const DEFAULT_UPLOADED_TOAST: UseToastOptions = {
   title: t('toast.imageUploaded'),
@@ -99,6 +102,17 @@ export const addImageUploadedFulfilledListener = () => {
         return;
       }
 
+      if (postUploadAction?.type === 'SET_IP_ADAPTER_IMAGE') {
+        dispatch(ipAdapterImageChanged(imageDTO));
+        dispatch(
+          addToast({
+            ...DEFAULT_UPLOADED_TOAST,
+            description: t('toast.setIPAdapterImage'),
+          })
+        );
+        return;
+      }
+
       if (postUploadAction?.type === 'SET_INITIAL_IMAGE') {
         dispatch(initialImageChanged(imageDTO));
         dispatch(
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
index d40a234495..13ceaf4173 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
@@ -18,6 +18,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIIconButton from 'common/components/IAIIconButton';
 import IAISwitch from 'common/components/IAISwitch';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+import { useTranslation } from 'react-i18next';
 import { useToggle } from 'react-use';
 import { v4 as uuidv4 } from 'uuid';
 import ControlNetImagePreview from './ControlNetImagePreview';
@@ -28,7 +29,6 @@ import ParamControlNetBeginEnd from './parameters/ParamControlNetBeginEnd';
 import ParamControlNetControlMode from './parameters/ParamControlNetControlMode';
 import ParamControlNetProcessorSelect from './parameters/ParamControlNetProcessorSelect';
 import ParamControlNetResizeMode from './parameters/ParamControlNetResizeMode';
-import { useTranslation } from 'react-i18next';
 
 type ControlNetProps = {
   controlNet: ControlNetConfig;
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx
new file mode 100644
index 0000000000..58603c2b1d
--- /dev/null
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx
@@ -0,0 +1,33 @@
+import { Flex } from '@chakra-ui/react';
+import { memo } from 'react';
+import ParamIPAdapterFeatureToggle from './ParamIPAdapterFeatureToggle';
+import ParamIPAdapterImage from './ParamIPAdapterImage';
+import ParamIPAdapterModelSelect from './ParamIPAdapterModelSelect';
+import ParamIPAdapterWeight from './ParamIPAdapterWeight';
+
+const IPAdapterPanel = () => {
+  return (
+    <Flex
+      sx={{
+        flexDir: 'column',
+        gap: 3,
+        paddingInline: 3,
+        paddingBlock: 2,
+        paddingBottom: 6,
+        borderRadius: 'base',
+        position: 'relative',
+        bg: 'base.250',
+        _dark: {
+          bg: 'base.750',
+        },
+      }}
+    >
+      <ParamIPAdapterFeatureToggle />
+      <ParamIPAdapterImage />
+      <ParamIPAdapterModelSelect />
+      <ParamIPAdapterWeight />
+    </Flex>
+  );
+};
+
+export default memo(IPAdapterPanel);
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx
new file mode 100644
index 0000000000..c077e7a824
--- /dev/null
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx
@@ -0,0 +1,41 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAISwitch from 'common/components/IAISwitch';
+import { isIPAdapterEnableToggled } from 'features/controlNet/store/controlNetSlice';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+
+const selector = createSelector(
+  stateSelector,
+  (state) => {
+    const { isIPAdapterEnabled } = state.controlNet;
+
+    return { isIPAdapterEnabled };
+  },
+  defaultSelectorOptions
+);
+
+const ParamIPAdapterFeatureToggle = () => {
+  const { isIPAdapterEnabled } = useAppSelector(selector);
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const handleChange = useCallback(() => {
+    dispatch(isIPAdapterEnableToggled());
+  }, [dispatch]);
+
+  return (
+    <IAISwitch
+      label={t('controlnet.enableIPAdapter')}
+      isChecked={isIPAdapterEnabled}
+      onChange={handleChange}
+      formControlProps={{
+        width: '100%',
+      }}
+    />
+  );
+};
+
+export default memo(ParamIPAdapterFeatureToggle);
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
new file mode 100644
index 0000000000..c7c03a95fc
--- /dev/null
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
@@ -0,0 +1,69 @@
+import { Flex } from '@chakra-ui/react';
+import { skipToken } from '@reduxjs/toolkit/dist/query';
+import { RootState } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import IAIDndImage from 'common/components/IAIDndImage';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import {
+  TypesafeDraggableData,
+  TypesafeDroppableData,
+} from 'features/dnd/types';
+import { memo, useMemo } from 'react';
+import { useGetImageDTOQuery } from 'services/api/endpoints/images';
+
+const ParamIPAdapterImage = () => {
+  const ipAdapterInfo = useAppSelector(
+    (state: RootState) => state.controlNet.ipAdapterInfo
+  );
+
+  const isIPAdapterEnabled = useAppSelector(
+    (state: RootState) => state.controlNet.isIPAdapterEnabled
+  );
+
+  const { currentData: imageDTO } = useGetImageDTOQuery(
+    ipAdapterInfo.adapterImage?.image_name ?? skipToken
+  );
+
+  const draggableData = useMemo<TypesafeDraggableData | undefined>(() => {
+    if (imageDTO) {
+      return {
+        id: 'ip-adapter-image',
+        payloadType: 'IMAGE_DTO',
+        payload: { imageDTO },
+      };
+    }
+  }, [imageDTO]);
+
+  const droppableData = useMemo<TypesafeDroppableData | undefined>(
+    () => ({
+      id: 'ip-adapter-image',
+      actionType: 'SET_IP_ADAPTER_IMAGE',
+    }),
+    []
+  );
+
+  return (
+    <Flex
+      sx={{
+        position: 'relative',
+        w: 'full',
+        alignItems: 'center',
+        justifyContent: 'center',
+      }}
+    >
+      <IAIDndImage
+        imageDTO={imageDTO}
+        droppableData={droppableData}
+        draggableData={draggableData}
+        isUploadDisabled={!isIPAdapterEnabled}
+        fitContainer
+        // dropLabel="Set as Initial Image"
+        noContentFallback={
+          <IAINoContentFallback label="No IP Adapter Image Selected" />
+        }
+      />
+    </Flex>
+  );
+};
+
+export default memo(ParamIPAdapterImage);
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx
new file mode 100644
index 0000000000..fec1790b53
--- /dev/null
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx
@@ -0,0 +1,97 @@
+import { SelectItem } from '@mantine/core';
+import { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIMantineSelect from 'common/components/IAIMantineSelect';
+import { ipAdapterModelChanged } from 'features/controlNet/store/controlNetSlice';
+import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
+import { modelIdToIPAdapterModelParam } from 'features/parameters/util/modelIdToIPAdapterModelParams';
+import { forEach } from 'lodash-es';
+import { memo, useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useGetIPAdapterModelsQuery } from 'services/api/endpoints/models';
+
+const ParamIPAdapterModelSelect = () => {
+  const ipAdapterModel = useAppSelector(
+    (state: RootState) => state.controlNet.ipAdapterInfo.model
+  );
+  const model = useAppSelector((state: RootState) => state.generation.model);
+
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const { data: ipAdapterModels } = useGetIPAdapterModelsQuery();
+
+  // grab the full model entity from the RTK Query cache
+  const selectedModel = useMemo(
+    () =>
+      ipAdapterModels?.entities[
+        `${ipAdapterModel?.base_model}/ip_adapter/${ipAdapterModel?.model_name}`
+      ] ?? null,
+    [
+      ipAdapterModel?.base_model,
+      ipAdapterModel?.model_name,
+      ipAdapterModels?.entities,
+    ]
+  );
+
+  const data = useMemo(() => {
+    if (!ipAdapterModels) {
+      return [];
+    }
+
+    const data: SelectItem[] = [];
+
+    forEach(ipAdapterModels.entities, (ipAdapterModel, id) => {
+      if (!ipAdapterModel) {
+        return;
+      }
+
+      const disabled = model?.base_model !== ipAdapterModel.base_model;
+
+      data.push({
+        value: id,
+        label: ipAdapterModel.model_name,
+        group: MODEL_TYPE_MAP[ipAdapterModel.base_model],
+        disabled,
+        tooltip: disabled
+          ? `Incompatible base model: ${ipAdapterModel.base_model}`
+          : undefined,
+      });
+    });
+
+    return data.sort((a, b) => (a.disabled && !b.disabled ? 1 : -1));
+  }, [ipAdapterModels, model?.base_model]);
+
+  const handleValueChanged = useCallback(
+    (v: string | null) => {
+      if (!v) {
+        return;
+      }
+
+      const newIPAdapterModel = modelIdToIPAdapterModelParam(v);
+
+      if (!newIPAdapterModel) {
+        return;
+      }
+
+      dispatch(ipAdapterModelChanged(newIPAdapterModel));
+    },
+    [dispatch]
+  );
+
+  return (
+    <IAIMantineSelect
+      label={t('controlnet.ipAdapterModel')}
+      className="nowheel nodrag"
+      tooltip={selectedModel?.description}
+      value={selectedModel?.id ?? null}
+      placeholder="Pick one"
+      error={!selectedModel}
+      data={data}
+      onChange={handleValueChanged}
+      sx={{ width: '100%' }}
+    />
+  );
+};
+
+export default memo(ParamIPAdapterModelSelect);
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx
new file mode 100644
index 0000000000..d324953bac
--- /dev/null
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx
@@ -0,0 +1,40 @@
+import { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAISlider from 'common/components/IAISlider';
+import { ipAdapterWeightChanged } from 'features/controlNet/store/controlNetSlice';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+
+const ParamIPAdapterWeight = () => {
+  const isIpAdapterEnabled = useAppSelector(
+    (state: RootState) => state.controlNet.isIPAdapterEnabled
+  );
+  const ipAdapterWeight = useAppSelector(
+    (state: RootState) => state.controlNet.ipAdapterInfo.weight
+  );
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const handleWeightChanged = useCallback(
+    (weight: number) => {
+      dispatch(ipAdapterWeightChanged(weight));
+    },
+    [dispatch]
+  );
+
+  return (
+    <IAISlider
+      isDisabled={!isIpAdapterEnabled}
+      label={t('controlnet.weight')}
+      value={ipAdapterWeight}
+      onChange={handleWeightChanged}
+      min={0}
+      max={2}
+      step={0.01}
+      withSliderMarks
+      sliderMarks={[0, 1, 2]}
+    />
+  );
+};
+
+export default memo(ParamIPAdapterWeight);
diff --git a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
index 8f391521d6..30a990c20d 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
@@ -1,9 +1,13 @@
 import { PayloadAction, createSlice } from '@reduxjs/toolkit';
-import { ControlNetModelParam } from 'features/parameters/types/parameterSchemas';
+import {
+  ControlNetModelParam,
+  IPAdapterModelParam,
+} from 'features/parameters/types/parameterSchemas';
 import { cloneDeep, forEach } from 'lodash-es';
 import { imagesApi } from 'services/api/endpoints/images';
 import { components } from 'services/api/schema';
 import { isAnySessionRejected } from 'services/api/thunks/session';
+import { ImageDTO } from 'services/api/types';
 import { appSocketInvocationError } from 'services/events/actions';
 import { controlNetImageProcessed } from './actions';
 import {
@@ -56,16 +60,30 @@ export type ControlNetConfig = {
   shouldAutoConfig: boolean;
 };
 
+export type IPAdapterConfig = {
+  adapterImage: ImageDTO | null;
+  model: IPAdapterModelParam | null;
+  weight: number;
+};
+
 export type ControlNetState = {
   controlNets: Record<string, ControlNetConfig>;
   isEnabled: boolean;
   pendingControlImages: string[];
+  isIPAdapterEnabled: boolean;
+  ipAdapterInfo: IPAdapterConfig;
 };
 
 export const initialControlNetState: ControlNetState = {
   controlNets: {},
   isEnabled: false,
   pendingControlImages: [],
+  isIPAdapterEnabled: false,
+  ipAdapterInfo: {
+    adapterImage: null,
+    model: null,
+    weight: 1,
+  },
 };
 
 export const controlNetSlice = createSlice({
@@ -353,6 +371,21 @@ export const controlNetSlice = createSlice({
     controlNetReset: () => {
       return { ...initialControlNetState };
     },
+    isIPAdapterEnableToggled: (state) => {
+      state.isIPAdapterEnabled = !state.isIPAdapterEnabled;
+    },
+    ipAdapterImageChanged: (state, action: PayloadAction<ImageDTO | null>) => {
+      state.ipAdapterInfo.adapterImage = action.payload;
+    },
+    ipAdapterWeightChanged: (state, action: PayloadAction<number>) => {
+      state.ipAdapterInfo.weight = action.payload;
+    },
+    ipAdapterModelChanged: (
+      state,
+      action: PayloadAction<IPAdapterModelParam | null>
+    ) => {
+      state.ipAdapterInfo.model = action.payload;
+    },
   },
   extraReducers: (builder) => {
     builder.addCase(controlNetImageProcessed, (state, action) => {
@@ -412,6 +445,10 @@ export const {
   controlNetProcessorTypeChanged,
   controlNetReset,
   controlNetAutoConfigToggled,
+  isIPAdapterEnableToggled,
+  ipAdapterImageChanged,
+  ipAdapterWeightChanged,
+  ipAdapterModelChanged,
 } = controlNetSlice.actions;
 
 export default controlNetSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/dnd/types/index.ts b/invokeai/frontend/web/src/features/dnd/types/index.ts
index 294132d0a3..3c5751bfac 100644
--- a/invokeai/frontend/web/src/features/dnd/types/index.ts
+++ b/invokeai/frontend/web/src/features/dnd/types/index.ts
@@ -35,6 +35,10 @@ export type ControlNetDropData = BaseDropData & {
   };
 };
 
+export type IPAdapterImageDropData = BaseDropData & {
+  actionType: 'SET_IP_ADAPTER_IMAGE';
+};
+
 export type CanvasInitialImageDropData = BaseDropData & {
   actionType: 'SET_CANVAS_INITIAL_IMAGE';
 };
@@ -73,6 +77,7 @@ export type TypesafeDroppableData =
   | CurrentImageDropData
   | InitialImageDropData
   | ControlNetDropData
+  | IPAdapterImageDropData
   | CanvasInitialImageDropData
   | NodesImageDropData
   | AddToBatchDropData
diff --git a/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts b/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts
index f704d22dff..b040caf83d 100644
--- a/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts
+++ b/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts
@@ -24,6 +24,8 @@ export const isValidDrop = (
       return payloadType === 'IMAGE_DTO';
     case 'SET_CONTROLNET_IMAGE':
       return payloadType === 'IMAGE_DTO';
+    case 'SET_IP_ADAPTER_IMAGE':
+      return payloadType === 'IMAGE_DTO';
     case 'SET_CANVAS_INITIAL_IMAGE':
       return payloadType === 'IMAGE_DTO';
     case 'SET_NODES_IMAGE':
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts
new file mode 100644
index 0000000000..95b63e7c3f
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts
@@ -0,0 +1,57 @@
+import { RootState } from 'app/store/store';
+import { IPAdapterInvocation } from 'services/api/types';
+import { NonNullableGraph } from '../../types/types';
+import { IP_ADAPTER } from './constants';
+
+export const addIPAdapterToLinearGraph = (
+  state: RootState,
+  graph: NonNullableGraph,
+  baseNodeId: string
+): void => {
+  const { isIPAdapterEnabled, ipAdapterInfo } = state.controlNet;
+
+  // const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as
+  //   | MetadataAccumulatorInvocation
+  //   | undefined;
+
+  if (isIPAdapterEnabled) {
+    const ipAdapterNode: IPAdapterInvocation = {
+      id: IP_ADAPTER,
+      type: 'ip_adapter',
+      is_intermediate: true,
+      weight: ipAdapterInfo.weight,
+      ip_adapter_model: {
+        base_model: 'sd-1',
+        model_name: 'ip_adapter_plus_sd15',
+      },
+    };
+
+    if (ipAdapterInfo.adapterImage) {
+      ipAdapterNode.image = {
+        image_name: ipAdapterInfo.adapterImage.image_name,
+      };
+    } else {
+      return;
+    }
+
+    graph.nodes[ipAdapterNode.id] = ipAdapterNode as IPAdapterInvocation;
+
+    // if (metadataAccumulator?.ip_adapters) {
+    //   // metadata accumulator only needs the ip_adapter field - not the whole node
+    //   // extract what we need and add to the accumulator
+    //   const ipAdapterField = omit(ipAdapterNode, [
+    //     'id',
+    //     'type',
+    //   ]) as IPAdapterField;
+    //   metadataAccumulator.ip_adapters.push(ipAdapterField);
+    // }
+
+    graph.edges.push({
+      source: { node_id: ipAdapterNode.id, field: 'ip_adapter' },
+      destination: {
+        node_id: baseNodeId,
+        field: 'ip_adapter',
+      },
+    });
+  }
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index e750b40220..4d733b9c73 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -5,6 +5,7 @@ import { initialGenerationState } from 'features/parameters/store/generationSlic
 import { ImageDTO, ImageToLatentsInvocation } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
@@ -366,6 +367,9 @@ export const buildCanvasImageToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
+  // Add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index bfedc03de4..36a17c34e5 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -12,6 +12,7 @@ import {
   RangeOfSizeInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
@@ -736,6 +737,9 @@ export const buildCanvasInpaintGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
+  // Add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 71d3492bdc..ae5a9b066a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -11,6 +11,7 @@ import {
   RangeOfSizeInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
@@ -838,6 +839,9 @@ export const buildCanvasOutpaintGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
+  // Add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index 2a677a8775..5cc5d567d0 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -5,6 +5,7 @@ import { initialGenerationState } from 'features/parameters/store/generationSlic
 import { ImageDTO, ImageToLatentsInvocation } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
@@ -392,6 +393,9 @@ export const buildCanvasSDXLImageToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
+  // Add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index baa1c0155f..b5b765b19e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -46,6 +46,7 @@ import {
   SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 
 /**
  * Builds the Canvas tab's Inpaint graph.
@@ -765,6 +766,9 @@ export const buildCanvasSDXLInpaintGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
+  // Add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 3f8fffb70a..30cea4915a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -11,6 +11,7 @@ import {
   RangeOfSizeInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
@@ -868,6 +869,9 @@ export const buildCanvasSDXLOutpaintGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
+  // Add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index 6d787987ef..c191afe6c1 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -8,6 +8,7 @@ import {
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
@@ -372,6 +373,9 @@ export const buildCanvasSDXLTextToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
+  // Add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index 094a7b02cc..28dd239e29 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -8,6 +8,7 @@ import {
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
@@ -345,6 +346,9 @@ export const buildCanvasTextToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
+  // Add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index dc9a34c67e..7127026a76 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -8,6 +8,7 @@ import {
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
@@ -364,6 +365,9 @@ export const buildLinearImageToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
+  // Add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 757a3976bb..07aaf31e12 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -8,6 +8,7 @@ import {
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
@@ -384,6 +385,9 @@ export const buildLinearSDXLImageToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
+  // Add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
+
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 9590e77f89..2bcd981b33 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -4,6 +4,7 @@ import { NonNullableGraph } from 'features/nodes/types/types';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
@@ -277,6 +278,9 @@ export const buildLinearSDXLTextToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
+  // add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
+
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index 5c534fff21..6235e73d08 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -8,6 +8,7 @@ import {
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
@@ -282,6 +283,9 @@ export const buildLinearTextToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
+  // add IP Adapter
+  addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index 70bd0c4058..65a29e5b7b 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -45,6 +45,7 @@ export const MASK_RESIZE_DOWN = 'mask_resize_down';
 export const COLOR_CORRECT = 'color_correct';
 export const PASTE_IMAGE = 'img_paste';
 export const CONTROL_NET_COLLECT = 'control_net_collect';
+export const IP_ADAPTER = 'ip_adapter';
 export const DYNAMIC_PROMPT = 'dynamic_prompt';
 export const IMAGE_COLLECTION = 'image_collection';
 export const IMAGE_COLLECTION_ITERATE = 'image_collection_iterate';
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
index 39ff5022d4..22177734ad 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
@@ -6,6 +6,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAICollapse from 'common/components/IAICollapse';
 import IAIIconButton from 'common/components/IAIIconButton';
 import ControlNet from 'features/controlNet/components/ControlNet';
+import IPAdapterPanel from 'features/controlNet/components/ipAdapter/IPAdapterPanel';
 import ParamControlNetFeatureToggle from 'features/controlNet/components/parameters/ParamControlNetFeatureToggle';
 import {
   controlNetAdded,
@@ -101,6 +102,7 @@ const ParamControlNetCollapse = () => {
             <ControlNet controlNet={c} />
           </Fragment>
         ))}
+        <IPAdapterPanel />
       </Flex>
     </IAICollapse>
   );
diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
index fa3d7b22fe..1b29993712 100644
--- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
@@ -339,7 +339,7 @@ export const zIPAdapterModel = z.object({
 /**
  * Type alias for model parameter, inferred from its zod schema
  */
-export type zIPAdapterModelParam = z.infer<typeof zIPAdapterModel>;
+export type IPAdapterModelParam = z.infer<typeof zIPAdapterModel>;
 /**
  * Zod schema for l2l strength parameter
  */
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 82682a0760..91749c585f 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -2375,7 +2375,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
       /**
        * Edges
@@ -2418,7 +2418,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["String2Output"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
+        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["String2Output"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
       };
       /**
        * Errors
@@ -7706,18 +7706,18 @@ export type components = {
       /** Ui Order */
       ui_order?: number;
     };
+    /**
+     * CLIPVisionModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    CLIPVisionModelFormat: "diffusers";
     /**
      * StableDiffusion2ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat
      * @description An enumeration.
@@ -7725,29 +7725,29 @@ export type components = {
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
-     * StableDiffusion1ModelFormat
+     * ControlNetModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * IPAdapterModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     IPAdapterModelFormat: "invokeai";
+    /**
+     * StableDiffusion1ModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusionOnnxModelFormat: "olive" | "onnx";
-    /**
-     * CLIPVisionModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    CLIPVisionModelFormat: "diffusers";
   };
   responses: never;
   parameters: never;
@@ -7864,7 +7864,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -7905,7 +7905,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index 0c6d2ad1c4..c432f70d93 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -63,6 +63,7 @@ export type ControlNetModelField = s['ControlNetModelField'];
 export type IPAdapterModelField = s['IPAdapterModelField'];
 export type ModelsList = s['ModelsList'];
 export type ControlField = s['ControlField'];
+export type IPAdapterField = s['IPAdapterField'];
 
 // Model Configs
 export type LoRAModelConfig = s['LoRAModelConfig'];
@@ -139,6 +140,7 @@ export type SeamlessModeInvocation = s['SeamlessModeInvocation'];
 
 // ControlNet Nodes
 export type ControlNetInvocation = s['ControlNetInvocation'];
+export type IPAdapterInvocation = s['IPAdapterInvocation'];
 export type CannyImageProcessorInvocation = s['CannyImageProcessorInvocation'];
 export type ContentShuffleImageProcessorInvocation =
   s['ContentShuffleImageProcessorInvocation'];
@@ -177,6 +179,10 @@ export type ControlNetAction = {
   controlNetId: string;
 };
 
+export type IPAdapterAction = {
+  type: 'SET_IP_ADAPTER_IMAGE';
+};
+
 export type InitialImageAction = {
   type: 'SET_INITIAL_IMAGE';
 };
@@ -202,6 +208,7 @@ export type AddToBatchAction = {
 
 export type PostUploadAction =
   | ControlNetAction
+  | IPAdapterAction
   | InitialImageAction
   | NodesAction
   | CanvasInitialImageAction

From 208286e97ac03f6952e42a718fa1af0a0090803b Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 16 Sep 2023 12:14:04 +1200
Subject: [PATCH 166/265] wip: Improve the IP Adapter UI

---
 invokeai/frontend/web/public/locales/en.json  |  4 ++-
 invokeai/frontend/web/src/app/store/store.ts  |  5 ++-
 .../components/ipAdapter/IPAdapterPanel.tsx   |  2 +-
 .../ipAdapter/ParamIPAdapterImage.tsx         | 31 ++++++++++++++++---
 .../ipAdapter/ParamIPAdapterWeight.tsx        |  6 ++++
 5 files changed, 41 insertions(+), 7 deletions(-)

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 5bb7c73227..d20fae0f1f 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -193,7 +193,9 @@
         "w": "W",
         "weight": "Weight",
         "enableIPAdapter": "Enable IP Adapter",
-        "ipAdapterModel": "Adapter Model"
+        "ipAdapterModel": "Adapter Model",
+        "resetIPAdapterImage": "Reset IP Adapter Image",
+        "ipAdapterImageFallback": "No IP Adapter Image Selected"
     },
     "embedding": {
         "addEmbedding": "Add Embedding",
diff --git a/invokeai/frontend/web/src/app/store/store.ts b/invokeai/frontend/web/src/app/store/store.ts
index f84f3dd9c7..d45ae35cdb 100644
--- a/invokeai/frontend/web/src/app/store/store.ts
+++ b/invokeai/frontend/web/src/app/store/store.ts
@@ -86,7 +86,10 @@ export const store = configureStore({
       .concat(autoBatchEnhancer());
   },
   middleware: (getDefaultMiddleware) =>
-    getDefaultMiddleware({ immutableCheck: false })
+    getDefaultMiddleware({
+      serializableCheck: false,
+      immutableCheck: false,
+    })
       .concat(api.middleware)
       .concat(dynamicMiddlewares)
       .prepend(listenerMiddleware.middleware),
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx
index 58603c2b1d..9dbd7e2ffa 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx
@@ -13,7 +13,7 @@ const IPAdapterPanel = () => {
         gap: 3,
         paddingInline: 3,
         paddingBlock: 2,
-        paddingBottom: 6,
+        paddingBottom: 5,
         borderRadius: 'base',
         position: 'relative',
         bg: 'base.250',
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
index c7c03a95fc..77f088cf7a 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
@@ -1,14 +1,18 @@
 import { Flex } from '@chakra-ui/react';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
 import { RootState } from 'app/store/store';
-import { useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIDndImage from 'common/components/IAIDndImage';
+import IAIIconButton from 'common/components/IAIIconButton';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import { ipAdapterImageChanged } from 'features/controlNet/store/controlNetSlice';
 import {
   TypesafeDraggableData,
   TypesafeDroppableData,
 } from 'features/dnd/types';
 import { memo, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaUndo } from 'react-icons/fa';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 
 const ParamIPAdapterImage = () => {
@@ -20,6 +24,9 @@ const ParamIPAdapterImage = () => {
     (state: RootState) => state.controlNet.isIPAdapterEnabled
   );
 
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
   const { currentData: imageDTO } = useGetImageDTOQuery(
     ipAdapterInfo.adapterImage?.image_name ?? skipToken
   );
@@ -56,12 +63,28 @@ const ParamIPAdapterImage = () => {
         droppableData={droppableData}
         draggableData={draggableData}
         isUploadDisabled={!isIPAdapterEnabled}
-        fitContainer
-        // dropLabel="Set as Initial Image"
+        dropLabel={t('toast.setIPAdapterImage')}
         noContentFallback={
-          <IAINoContentFallback label="No IP Adapter Image Selected" />
+          <IAINoContentFallback
+            label={t('controlnet.ipAdapterImageFallback')}
+          />
         }
       />
+
+      {ipAdapterInfo.adapterImage && (
+        <IAIIconButton
+          tooltip={t('controlnet.resetIPAdapterImage')}
+          aria-label={t('controlnet.resetIPAdapterImage')}
+          icon={<FaUndo />}
+          onClick={() => dispatch(ipAdapterImageChanged(null))}
+          isDisabled={!imageDTO}
+          sx={{
+            position: 'absolute',
+            top: 3,
+            right: 3,
+          }}
+        />
+      )}
     </Flex>
   );
 };
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx
index d324953bac..df5a9a36a3 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx
@@ -22,6 +22,10 @@ const ParamIPAdapterWeight = () => {
     [dispatch]
   );
 
+  const handleWeightReset = useCallback(() => {
+    dispatch(ipAdapterWeightChanged(1));
+  }, [dispatch]);
+
   return (
     <IAISlider
       isDisabled={!isIpAdapterEnabled}
@@ -33,6 +37,8 @@ const ParamIPAdapterWeight = () => {
       step={0.01}
       withSliderMarks
       sliderMarks={[0, 1, 2]}
+      withReset
+      handleReset={handleWeightReset}
     />
   );
 };

From b60b1e359ec3ad11786c72ba4122d82af1c51768 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 16 Sep 2023 12:20:04 +1200
Subject: [PATCH 167/265] fix: Decrease the size of the IP Adapter Image Reset
 Button

---
 .../controlNet/components/ipAdapter/ParamIPAdapterImage.tsx      | 1 +
 1 file changed, 1 insertion(+)

diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
index 77f088cf7a..dccbd89ae7 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
@@ -78,6 +78,7 @@ const ParamIPAdapterImage = () => {
           icon={<FaUndo />}
           onClick={() => dispatch(ipAdapterImageChanged(null))}
           isDisabled={!imageDTO}
+          size="sm"
           sx={{
             position: 'absolute',
             top: 3,

From 4dd289b337db6ee1130776730c6f91fb6be350ce Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 16 Sep 2023 12:50:30 +1200
Subject: [PATCH 168/265] feat: Handle IP Adapter Image being reset on being
 deleted.

---
 invokeai/frontend/web/public/locales/en.json    |  1 +
 .../listeners/boardAndImagesDeleted.ts          | 11 ++++++++++-
 .../listeners/imageDeleted.ts                   | 17 +++++++++++++++++
 .../listeners/imageToDeleteSelected.ts          |  1 +
 .../controlNet/store/controlNetSlice.ts         |  9 +++++++++
 .../components/DeleteImageModal.tsx             |  5 +++--
 .../components/ImageUsageMessage.tsx            |  5 ++++-
 .../deleteImageModal/store/selectors.ts         |  6 +++++-
 .../features/deleteImageModal/store/types.ts    |  1 +
 .../components/Boards/DeleteBoardModal.tsx      |  1 +
 10 files changed, 52 insertions(+), 5 deletions(-)

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index d20fae0f1f..881e531701 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -49,6 +49,7 @@
         "close": "Close",
         "communityLabel": "Community",
         "controlNet": "Controlnet",
+        "ipAdapter": "IP Adapter",
         "darkMode": "Dark Mode",
         "discordLabel": "Discord",
         "dontAskMeAgain": "Don't ask me again",
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts
index d4a36d64dc..69b136ca60 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts
@@ -1,5 +1,8 @@
 import { resetCanvas } from 'features/canvas/store/canvasSlice';
-import { controlNetReset } from 'features/controlNet/store/controlNetSlice';
+import {
+  controlNetReset,
+  ipAdapterStateReset,
+} from 'features/controlNet/store/controlNetSlice';
 import { getImageUsage } from 'features/deleteImageModal/store/selectors';
 import { nodeEditorReset } from 'features/nodes/store/nodesSlice';
 import { clearInitialImage } from 'features/parameters/store/generationSlice';
@@ -18,6 +21,7 @@ export const addDeleteBoardAndImagesFulfilledListener = () => {
       let wasCanvasReset = false;
       let wasNodeEditorReset = false;
       let wasControlNetReset = false;
+      let wasIPAdapterReset = false;
 
       const state = getState();
       deleted_images.forEach((image_name) => {
@@ -42,6 +46,11 @@ export const addDeleteBoardAndImagesFulfilledListener = () => {
           dispatch(controlNetReset());
           wasControlNetReset = true;
         }
+
+        if (imageUsage.isIPAdapterImage && !wasIPAdapterReset) {
+          dispatch(ipAdapterStateReset());
+          wasIPAdapterReset = true;
+        }
       });
     },
   });
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
index 770c9fc11b..7c51b44aa2 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
@@ -3,6 +3,7 @@ import { resetCanvas } from 'features/canvas/store/canvasSlice';
 import {
   controlNetImageChanged,
   controlNetProcessedImageChanged,
+  ipAdapterImageChanged,
 } from 'features/controlNet/store/controlNetSlice';
 import { imageDeletionConfirmed } from 'features/deleteImageModal/store/actions';
 import { isModalOpenChanged } from 'features/deleteImageModal/store/slice';
@@ -110,6 +111,14 @@ export const addRequestedSingleImageDeletionListener = () => {
           }
         });
 
+        // Remove IP Adapter Set Image if image is deleted.
+        if (
+          getState().controlNet.ipAdapterInfo.adapterImage?.image_name ===
+          imageDTO.image_name
+        ) {
+          dispatch(ipAdapterImageChanged(null));
+        }
+
         // reset nodes that use the deleted images
         getState().nodes.nodes.forEach((node) => {
           if (!isInvocationNode(node)) {
@@ -227,6 +236,14 @@ export const addRequestedMultipleImageDeletionListener = () => {
             }
           });
 
+          // Remove IP Adapter Set Image if image is deleted.
+          if (
+            getState().controlNet.ipAdapterInfo.adapterImage?.image_name ===
+            imageDTO.image_name
+          ) {
+            dispatch(ipAdapterImageChanged(null));
+          }
+
           // reset nodes that use the deleted images
           getState().nodes.nodes.forEach((node) => {
             if (!isInvocationNode(node)) {
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts
index 88a4e773d5..61b4379d5d 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts
@@ -19,6 +19,7 @@ export const addImageToDeleteSelectedListener = () => {
         imagesUsage.some((i) => i.isCanvasImage) ||
         imagesUsage.some((i) => i.isInitialImage) ||
         imagesUsage.some((i) => i.isControlNetImage) ||
+        imagesUsage.some((i) => i.isIPAdapterImage) ||
         imagesUsage.some((i) => i.isNodesImage);
 
       if (shouldConfirmOnDelete || isImageInUse) {
diff --git a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
index 30a990c20d..60b326226b 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
@@ -386,6 +386,14 @@ export const controlNetSlice = createSlice({
     ) => {
       state.ipAdapterInfo.model = action.payload;
     },
+    ipAdapterStateReset: (state) => {
+      state.isIPAdapterEnabled = false;
+      state.ipAdapterInfo = {
+        adapterImage: null,
+        model: null,
+        weight: 1,
+      };
+    },
   },
   extraReducers: (builder) => {
     builder.addCase(controlNetImageProcessed, (state, action) => {
@@ -449,6 +457,7 @@ export const {
   ipAdapterImageChanged,
   ipAdapterWeightChanged,
   ipAdapterModelChanged,
+  ipAdapterStateReset,
 } = controlNetSlice.actions;
 
 export default controlNetSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx
index 0d8ecfbae6..78bd71e802 100644
--- a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx
+++ b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx
@@ -10,20 +10,20 @@ import {
   Text,
 } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIButton from 'common/components/IAIButton';
 import IAISwitch from 'common/components/IAISwitch';
 import { setShouldConfirmOnDelete } from 'features/system/store/systemSlice';
-import { stateSelector } from 'app/store/store';
 import { some } from 'lodash-es';
 import { ChangeEvent, memo, useCallback, useRef } from 'react';
 import { useTranslation } from 'react-i18next';
 import { imageDeletionConfirmed } from '../store/actions';
 import { getImageUsage, selectImageUsage } from '../store/selectors';
 import { imageDeletionCanceled, isModalOpenChanged } from '../store/slice';
-import ImageUsageMessage from './ImageUsageMessage';
 import { ImageUsage } from '../store/types';
+import ImageUsageMessage from './ImageUsageMessage';
 
 const selector = createSelector(
   [stateSelector, selectImageUsage],
@@ -42,6 +42,7 @@ const selector = createSelector(
       isCanvasImage: some(allImageUsage, (i) => i.isCanvasImage),
       isNodesImage: some(allImageUsage, (i) => i.isNodesImage),
       isControlNetImage: some(allImageUsage, (i) => i.isControlNetImage),
+      isIPAdapterImage: some(allImageUsage, (i) => i.isIPAdapterImage),
     };
 
     return {
diff --git a/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx
index de1782b439..6844e13a32 100644
--- a/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx
+++ b/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx
@@ -1,8 +1,8 @@
 import { ListItem, Text, UnorderedList } from '@chakra-ui/react';
 import { some } from 'lodash-es';
 import { memo } from 'react';
-import { ImageUsage } from '../store/types';
 import { useTranslation } from 'react-i18next';
+import { ImageUsage } from '../store/types';
 
 type Props = {
   imageUsage?: ImageUsage;
@@ -38,6 +38,9 @@ const ImageUsageMessage = (props: Props) => {
         {imageUsage.isControlNetImage && (
           <ListItem>{t('common.controlNet')}</ListItem>
         )}
+        {imageUsage.isIPAdapterImage && (
+          <ListItem>{t('common.ipAdapter')}</ListItem>
+        )}
         {imageUsage.isNodesImage && (
           <ListItem>{t('common.nodeEditor')}</ListItem>
         )}
diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts
index 37be06bad6..151e975634 100644
--- a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts
+++ b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts
@@ -1,9 +1,9 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { RootState } from 'app/store/store';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { isInvocationNode } from 'features/nodes/types/types';
 import { some } from 'lodash-es';
 import { ImageUsage } from './types';
-import { isInvocationNode } from 'features/nodes/types/types';
 
 export const getImageUsage = (state: RootState, image_name: string) => {
   const { generation, canvas, nodes, controlNet } = state;
@@ -27,11 +27,15 @@ export const getImageUsage = (state: RootState, image_name: string) => {
       c.controlImage === image_name || c.processedControlImage === image_name
   );
 
+  const isIPAdapterImage =
+    controlNet.ipAdapterInfo.adapterImage?.image_name === image_name;
+
   const imageUsage: ImageUsage = {
     isInitialImage,
     isCanvasImage,
     isNodesImage,
     isControlNetImage,
+    isIPAdapterImage,
   };
 
   return imageUsage;
diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts
index 2beaa8ca2e..fd13462866 100644
--- a/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts
+++ b/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts
@@ -10,4 +10,5 @@ export type ImageUsage = {
   isCanvasImage: boolean;
   isNodesImage: boolean;
   isControlNetImage: boolean;
+  isIPAdapterImage: boolean;
 };
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx
index 2c54f06cec..f83c08c923 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx
@@ -53,6 +53,7 @@ const DeleteBoardModal = (props: Props) => {
           isCanvasImage: some(allImageUsage, (i) => i.isCanvasImage),
           isNodesImage: some(allImageUsage, (i) => i.isNodesImage),
           isControlNetImage: some(allImageUsage, (i) => i.isControlNetImage),
+          isIPAdapterImage: some(allImageUsage, (i) => i.isIPAdapterImage),
         };
         return { imageUsageSummary };
       }),

From 820ec08e9ac25f9006666354ad1248db0acbb336 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 16 Sep 2023 13:11:11 +1200
Subject: [PATCH 169/265] feat: Update Control Adapter Collapse active status
 to reflect IP Adapter

---
 .../ControlNet/ParamControlNetCollapse.tsx    | 19 ++++++++++++++-----
 1 file changed, 14 insertions(+), 5 deletions(-)

diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
index 22177734ad..2c40307ee3 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
@@ -26,14 +26,23 @@ import { v4 as uuidv4 } from 'uuid';
 const selector = createSelector(
   [stateSelector],
   ({ controlNet }) => {
-    const { controlNets, isEnabled } = controlNet;
+    const { controlNets, isEnabled, isIPAdapterEnabled } = controlNet;
 
     const validControlNets = getValidControlNets(controlNets);
 
-    const activeLabel =
-      isEnabled && validControlNets.length > 0
-        ? `${validControlNets.length} Active`
-        : undefined;
+    let activeLabel = undefined;
+
+    if (isEnabled && validControlNets.length > 0) {
+      activeLabel = `${validControlNets.length} ControlNet`;
+    }
+
+    if (isIPAdapterEnabled) {
+      if (activeLabel) {
+        activeLabel = `${activeLabel}, IP Adapter`;
+      } else {
+        activeLabel = 'IP Adapter';
+      }
+    }
 
     return { controlNetsArray: map(controlNets), activeLabel };
   },

From 3e813ead1f36315126e79fbc0a6c6ad49c18c7ae Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 16 Sep 2023 16:08:04 +1200
Subject: [PATCH 170/265] chore: extract the adapter info initial state

---
 .../controlNet/store/controlNetSlice.ts        | 18 ++++++++----------
 1 file changed, 8 insertions(+), 10 deletions(-)

diff --git a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
index 60b326226b..df55c44cf3 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
@@ -74,16 +74,18 @@ export type ControlNetState = {
   ipAdapterInfo: IPAdapterConfig;
 };
 
+export const initialIPAdapterState: IPAdapterConfig = {
+  adapterImage: null,
+  model: null,
+  weight: 1,
+};
+
 export const initialControlNetState: ControlNetState = {
   controlNets: {},
   isEnabled: false,
   pendingControlImages: [],
   isIPAdapterEnabled: false,
-  ipAdapterInfo: {
-    adapterImage: null,
-    model: null,
-    weight: 1,
-  },
+  ipAdapterInfo: { ...initialIPAdapterState },
 };
 
 export const controlNetSlice = createSlice({
@@ -388,11 +390,7 @@ export const controlNetSlice = createSlice({
     },
     ipAdapterStateReset: (state) => {
       state.isIPAdapterEnabled = false;
-      state.ipAdapterInfo = {
-        adapterImage: null,
-        model: null,
-        weight: 1,
-      };
+      state.ipAdapterInfo = { ...initialIPAdapterState };
     },
   },
   extraReducers: (builder) => {

From ced297ed210ff7559098eefbb224e2a806d0bdf6 Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Sat, 16 Sep 2023 08:24:12 -0700
Subject: [PATCH 171/265] Initial implementation of IP-Adapter
 "begin_step_percent" and "end_step_percent" for controlling on which steps
 IP-Adapter is applied in the denoising loop.

---
 invokeai/app/invocations/ip_adapter.py        | 10 +++++++++
 invokeai/app/invocations/latent.py            |  2 ++
 invokeai/backend/ip_adapter/ip_adapter.py     | 21 ++++++++++++++-----
 .../stable_diffusion/diffusers_pipeline.py    | 17 +++++++++++++++
 4 files changed, 45 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index bf15115ed8..47ab2c8936 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -34,6 +34,8 @@ class IPAdapterField(BaseModel):
     ip_adapter_model: IPAdapterModelField = Field(description="The IP-Adapter model to use.")
     image_encoder_model: CLIPVisionModelField = Field(description="The name of the CLIP image encoder model.")
     weight: float = Field(default=1.0, ge=0, description="The weight of the IP-Adapter.")
+    begin_step_percent: float = Field(default=0.0, ge=0, le=1.0)
+    end_step_percent: float = Field(default=1.0, ge=0, le=1.0)
 
 
 @invocation_output("ip_adapter_output")
@@ -54,6 +56,12 @@ class IPAdapterInvocation(BaseInvocation):
         input=Input.Direct,
     )
     weight: float = InputField(default=1.0, description="The weight of the IP-Adapter.", ui_type=UIType.Float)
+    begin_step_percent: float = InputField(
+        default=0, ge=-1, le=2, description="When the IP-Adapter is first applied (% of total steps)"
+    )
+    end_step_percent: float = InputField(
+        default=1, ge=0, le=1, description="When the IP-Adapter is last applied (% of total steps)"
+    )
 
     def invoke(self, context: InvocationContext) -> IPAdapterOutput:
         # Lookup the CLIP Vision encoder that is intended to be used with the IP-Adapter model.
@@ -80,5 +88,7 @@ class IPAdapterInvocation(BaseInvocation):
                 ip_adapter_model=self.ip_adapter_model,
                 image_encoder_model=image_encoder_model,
                 weight=self.weight,
+                begin_step_percent=self.begin_step_percent,
+                end_step_percent=self.end_step_percent,
             ),
         )
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index da7b819038..ddee01e7b8 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -446,6 +446,8 @@ class DenoiseLatentsInvocation(BaseInvocation):
         return IPAdapterData(
             ip_adapter_model=ip_adapter_model,
             weight=ip_adapter.weight,
+            begin_step_percent=ip_adapter.begin_step_percent,
+            end_step_percent=ip_adapter.end_step_percent,
         )
 
     # original idea by https://github.com/AmericanPresidentJimmyCarter
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index d3bbfb6b37..cf2c417eee 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -131,8 +131,18 @@ class IPAdapter:
         self._attn_processors = attn_procs
         self._state_dict = None
 
+    # @genomancer: pushed scaling back out into its own method (like original Tencent implementation)
+    #      which makes implementing begin_step_percent and end_step_percent easier
+    #  but based on self._attn_processors (ala @Ryan) instead of original Tencent unet.attn_processors,
+    #      which should make it easier to implement multiple IPAdapters
+    def set_scale(self, scale):
+        if self._attn_processors is not None:
+            for attn_processor in self._attn_processors.values():
+                if isinstance(attn_processor, IPAttnProcessor):
+                    attn_processor.scale = scale
+
     @contextmanager
-    def apply_ip_adapter_attention(self, unet: UNet2DConditionModel, scale: int):
+    def apply_ip_adapter_attention(self, unet: UNet2DConditionModel, scale: float):
         """A context manager that patches `unet` with this IP-Adapter's attention processors while it is active.
 
         Yields:
@@ -143,10 +153,11 @@ class IPAdapter:
             # used on any UNet model (with the same dimensions).
             self._prepare_attention_processors(unet)
 
-        # Set scale.
-        for attn_processor in self._attn_processors.values():
-            if isinstance(attn_processor, IPAttnProcessor):
-                attn_processor.scale = scale
+        # Set scale
+        self.set_scale(scale)
+        # for attn_processor in self._attn_processors.values():
+        #     if isinstance(attn_processor, IPAttnProcessor):
+        #         attn_processor.scale = scale
 
         orig_attn_processors = unet.attn_processors
 
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 81d5afeb1e..d65b169bec 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -2,6 +2,7 @@ from __future__ import annotations
 
 from contextlib import nullcontext
 from dataclasses import dataclass
+import math
 from typing import Any, Callable, List, Optional, Union
 
 import einops
@@ -168,6 +169,8 @@ class IPAdapterData:
     # TODO: change to polymorphic so can do different weights per step (once implemented...)
     # weight: Union[float, List[float]] = Field(default=1.0)
     weight: float = Field(default=1.0)
+    begin_step_percent: float = Field(default=0.0)
+    end_step_percent: float = Field(default=1.0)
 
 
 @dataclass
@@ -445,6 +448,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                     total_step_count=len(timesteps),
                     additional_guidance=additional_guidance,
                     control_data=control_data,
+                    ip_adapter_data=ip_adapter_data,
                 )
                 latents = step_output.prev_sample
 
@@ -490,6 +494,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         total_step_count: int,
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
+        ip_adapter_data: Optional[IPAdapterData] = None,
     ):
         # invokeai_diffuser has batched timesteps, but diffusers schedulers expect a single value
         timestep = t[0]
@@ -500,6 +505,18 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         #     i.e. before or after passing it to InvokeAIDiffuserComponent
         latent_model_input = self.scheduler.scale_model_input(latents, timestep)
 
+        # handle IP-Adapter
+        if ip_adapter_data is not None:
+            first_adapter_step = math.floor(ip_adapter_data.begin_step_percent * total_step_count)
+            last_adapter_step = math.ceil(ip_adapter_data.end_step_percent * total_step_count)
+            if step_index >= first_adapter_step and step_index <= last_adapter_step:
+                # only apply IP-Adapter if current step is within the IP-Adapter's begin/end step range
+                ip_adapter_data.ip_adapter_model.set_scale(ip_adapter_data.weight)
+            else:
+                # otherwise, set IP-Adapter scale to 0, so it has no effect
+                ip_adapter_data.ip_adapter_model.set_scale(0.0)
+
+        # handle ControlNet(s)
         # default is no controlnet, so set controlnet processing output to None
         controlnet_down_block_samples, controlnet_mid_block_sample = None, None
         if control_data is not None:

From 7ee13879e38c36667bee4e8b777409b295d92a64 Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Sat, 16 Sep 2023 09:29:50 -0700
Subject: [PATCH 172/265] Added check in IP-Adapter to avoid begin/end step
 percent handling if use of IP-Adapter is already turned off due to potential
 clash with other cross attention control.

---
 invokeai/backend/stable_diffusion/diffusers_pipeline.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index d65b169bec..8b54b09582 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -253,6 +253,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         )
         self.invokeai_diffuser = InvokeAIDiffuserComponent(self.unet, self._unet_forward)
         self.control_model = control_model
+        self.use_ip_adapter = False
 
     def _adjust_memory_efficient_attention(self, latents: torch.Tensor):
         """
@@ -416,12 +417,14 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 extra_conditioning_info=conditioning_data.extra,
                 step_count=len(self.scheduler.timesteps),
             )
+            self.use_ip_adapter = False
         elif ip_adapter_data is not None:
             # TODO(ryand): Should we raise an exception if both custom attention and IP-Adapter attention are active?
             # As it is now, the IP-Adapter will silently be skipped.
             attn_ctx = ip_adapter_data.ip_adapter_model.apply_ip_adapter_attention(
                 unet=self.invokeai_diffuser.model, scale=ip_adapter_data.weight
             )
+            self.use_ip_adapter = True
         else:
             attn_ctx = nullcontext()
 
@@ -506,7 +509,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         latent_model_input = self.scheduler.scale_model_input(latents, timestep)
 
         # handle IP-Adapter
-        if ip_adapter_data is not None:
+        if self.use_ip_adapter and ip_adapter_data is not None: # somewhat redundant but logic is clearer
             first_adapter_step = math.floor(ip_adapter_data.begin_step_percent * total_step_count)
             last_adapter_step = math.ceil(ip_adapter_data.end_step_percent * total_step_count)
             if step_index >= first_adapter_step and step_index <= last_adapter_step:

From c48e648cbbedf14970bee77c9f166435f0fbd204 Mon Sep 17 00:00:00 2001
From: user1 <gregghelt@gmail.com>
Date: Sat, 16 Sep 2023 12:36:16 -0700
Subject: [PATCH 173/265] Added per-step setting of IP-Adapter weights (for
 param easing, etc.)

---
 invokeai/app/invocations/ip_adapter.py        | 20 ++++++++++++++-----
 .../stable_diffusion/diffusers_pipeline.py    | 11 ++++++----
 2 files changed, 22 insertions(+), 9 deletions(-)

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index 47ab2c8936..ff025011cb 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -1,6 +1,8 @@
 import os
 
+from builtins import bool, float
 from pydantic import BaseModel, Field
+from typing import Dict, List, Literal, Optional, Union
 
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
@@ -33,9 +35,14 @@ class IPAdapterField(BaseModel):
     image: ImageField = Field(description="The IP-Adapter image prompt.")
     ip_adapter_model: IPAdapterModelField = Field(description="The IP-Adapter model to use.")
     image_encoder_model: CLIPVisionModelField = Field(description="The name of the CLIP image encoder model.")
-    weight: float = Field(default=1.0, ge=0, description="The weight of the IP-Adapter.")
-    begin_step_percent: float = Field(default=0.0, ge=0, le=1.0)
-    end_step_percent: float = Field(default=1.0, ge=0, le=1.0)
+    weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet")
+    # weight: float = Field(default=1.0, ge=0, description="The weight of the IP-Adapter.")
+    begin_step_percent: float = Field(
+        default=0, ge=0, le=1, description="When the IP-Adapter is first applied (% of total steps)"
+    )
+    end_step_percent: float = Field(
+        default=1, ge=0, le=1, description="When the IP-Adapter is last applied (% of total steps)"
+    )
 
 
 @invocation_output("ip_adapter_output")
@@ -55,7 +62,11 @@ class IPAdapterInvocation(BaseInvocation):
         title="IP-Adapter Model",
         input=Input.Direct,
     )
-    weight: float = InputField(default=1.0, description="The weight of the IP-Adapter.", ui_type=UIType.Float)
+
+    # weight: float = InputField(default=1.0, description="The weight of the IP-Adapter.", ui_type=UIType.Float)
+    weight: Union[float, List[float]] = InputField(default=1, ge=0, description="The weight given to the IP-Adapter",
+                                                   ui_type=UIType.Float, title="Weight")
+
     begin_step_percent: float = InputField(
         default=0, ge=-1, le=2, description="When the IP-Adapter is first applied (% of total steps)"
     )
@@ -81,7 +92,6 @@ class IPAdapterInvocation(BaseInvocation):
             model_name=image_encoder_model_name,
             base_model=BaseModelType.Any,
         )
-
         return IPAdapterOutput(
             ip_adapter=IPAdapterField(
                 image=self.image,
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 8b54b09582..f57a152315 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -167,8 +167,8 @@ class ControlNetData:
 class IPAdapterData:
     ip_adapter_model: IPAdapter = Field(default=None)
     # TODO: change to polymorphic so can do different weights per step (once implemented...)
-    # weight: Union[float, List[float]] = Field(default=1.0)
-    weight: float = Field(default=1.0)
+    weight: Union[float, List[float]] = Field(default=1.0)
+    # weight: float = Field(default=1.0)
     begin_step_percent: float = Field(default=0.0)
     end_step_percent: float = Field(default=1.0)
 
@@ -421,8 +421,9 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         elif ip_adapter_data is not None:
             # TODO(ryand): Should we raise an exception if both custom attention and IP-Adapter attention are active?
             # As it is now, the IP-Adapter will silently be skipped.
+            weight = ip_adapter_data.weight[0] if isinstance(ip_adapter_data.weight, List) else ip_adapter_data.weight
             attn_ctx = ip_adapter_data.ip_adapter_model.apply_ip_adapter_attention(
-                unet=self.invokeai_diffuser.model, scale=ip_adapter_data.weight
+                unet=self.invokeai_diffuser.model, scale=weight,
             )
             self.use_ip_adapter = True
         else:
@@ -512,9 +513,11 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if self.use_ip_adapter and ip_adapter_data is not None: # somewhat redundant but logic is clearer
             first_adapter_step = math.floor(ip_adapter_data.begin_step_percent * total_step_count)
             last_adapter_step = math.ceil(ip_adapter_data.end_step_percent * total_step_count)
+            weight = ip_adapter_data.weight[step_index] if isinstance(ip_adapter_data.weight, List) else ip_adapter_data.weight
             if step_index >= first_adapter_step and step_index <= last_adapter_step:
                 # only apply IP-Adapter if current step is within the IP-Adapter's begin/end step range
-                ip_adapter_data.ip_adapter_model.set_scale(ip_adapter_data.weight)
+                # ip_adapter_data.ip_adapter_model.set_scale(ip_adapter_data.weight)
+                ip_adapter_data.ip_adapter_model.set_scale(weight)
             else:
                 # otherwise, set IP-Adapter scale to 0, so it has no effect
                 ip_adapter_data.ip_adapter_model.set_scale(0.0)

From 7be5743011b5cd2b2a07cbc2eff97dca9381f204 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 17 Sep 2023 11:53:05 +1200
Subject: [PATCH 174/265] feat: Add IP Adapter Begin & End Percent to Linear UI

---
 .../components/ipAdapter/IPAdapterPanel.tsx   |   2 +
 .../ipAdapter/ParamIPAdapterBeginEnd.tsx      | 100 ++++++++++++++++++
 .../controlNet/store/controlNetSlice.ts       |  12 +++
 .../addIPAdapterToLinearGraph.ts              |   8 +-
 .../frontend/web/src/services/api/schema.d.ts |  68 ++++++++----
 5 files changed, 165 insertions(+), 25 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterBeginEnd.tsx

diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx
index 9dbd7e2ffa..b0a1fcc731 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx
@@ -1,5 +1,6 @@
 import { Flex } from '@chakra-ui/react';
 import { memo } from 'react';
+import ParamIPAdapterBeginEnd from './ParamIPAdapterBeginEnd';
 import ParamIPAdapterFeatureToggle from './ParamIPAdapterFeatureToggle';
 import ParamIPAdapterImage from './ParamIPAdapterImage';
 import ParamIPAdapterModelSelect from './ParamIPAdapterModelSelect';
@@ -26,6 +27,7 @@ const IPAdapterPanel = () => {
       <ParamIPAdapterImage />
       <ParamIPAdapterModelSelect />
       <ParamIPAdapterWeight />
+      <ParamIPAdapterBeginEnd />
     </Flex>
   );
 };
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterBeginEnd.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterBeginEnd.tsx
new file mode 100644
index 0000000000..5bef23b66c
--- /dev/null
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterBeginEnd.tsx
@@ -0,0 +1,100 @@
+import {
+  FormControl,
+  FormLabel,
+  HStack,
+  RangeSlider,
+  RangeSliderFilledTrack,
+  RangeSliderMark,
+  RangeSliderThumb,
+  RangeSliderTrack,
+  Tooltip,
+} from '@chakra-ui/react';
+import { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import {
+  ipAdapterBeginStepPctChanged,
+  ipAdapterEndStepPctChanged,
+} from 'features/controlNet/store/controlNetSlice';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+
+const formatPct = (v: number) => `${Math.round(v * 100)}%`;
+
+const ParamIPAdapterBeginEnd = () => {
+  const isEnabled = useAppSelector(
+    (state: RootState) => state.controlNet.isIPAdapterEnabled
+  );
+  const beginStepPct = useAppSelector(
+    (state: RootState) => state.controlNet.ipAdapterInfo.beginStepPct
+  );
+  const endStepPct = useAppSelector(
+    (state: RootState) => state.controlNet.ipAdapterInfo.endStepPct
+  );
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const handleStepPctChanged = useCallback(
+    (v: number[]) => {
+      dispatch(ipAdapterBeginStepPctChanged(v[0] as number));
+      dispatch(ipAdapterEndStepPctChanged(v[1] as number));
+    },
+    [dispatch]
+  );
+
+  return (
+    <FormControl isDisabled={!isEnabled}>
+      <FormLabel>{t('controlnet.beginEndStepPercent')}</FormLabel>
+      <HStack w="100%" gap={2} alignItems="center">
+        <RangeSlider
+          aria-label={['Begin Step %', 'End Step %!']}
+          value={[beginStepPct, endStepPct]}
+          onChange={handleStepPctChanged}
+          min={0}
+          max={1}
+          step={0.01}
+          minStepsBetweenThumbs={5}
+          isDisabled={!isEnabled}
+        >
+          <RangeSliderTrack>
+            <RangeSliderFilledTrack />
+          </RangeSliderTrack>
+          <Tooltip label={formatPct(beginStepPct)} placement="top" hasArrow>
+            <RangeSliderThumb index={0} />
+          </Tooltip>
+          <Tooltip label={formatPct(endStepPct)} placement="top" hasArrow>
+            <RangeSliderThumb index={1} />
+          </Tooltip>
+          <RangeSliderMark
+            value={0}
+            sx={{
+              insetInlineStart: '0 !important',
+              insetInlineEnd: 'unset !important',
+            }}
+          >
+            0%
+          </RangeSliderMark>
+          <RangeSliderMark
+            value={0.5}
+            sx={{
+              insetInlineStart: '50% !important',
+              transform: 'translateX(-50%)',
+            }}
+          >
+            50%
+          </RangeSliderMark>
+          <RangeSliderMark
+            value={1}
+            sx={{
+              insetInlineStart: 'unset !important',
+              insetInlineEnd: '0 !important',
+            }}
+          >
+            100%
+          </RangeSliderMark>
+        </RangeSlider>
+      </HStack>
+    </FormControl>
+  );
+};
+
+export default memo(ParamIPAdapterBeginEnd);
diff --git a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
index df55c44cf3..3fe57f4a84 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
@@ -64,6 +64,8 @@ export type IPAdapterConfig = {
   adapterImage: ImageDTO | null;
   model: IPAdapterModelParam | null;
   weight: number;
+  beginStepPct: number;
+  endStepPct: number;
 };
 
 export type ControlNetState = {
@@ -78,6 +80,8 @@ export const initialIPAdapterState: IPAdapterConfig = {
   adapterImage: null,
   model: null,
   weight: 1,
+  beginStepPct: 0,
+  endStepPct: 1,
 };
 
 export const initialControlNetState: ControlNetState = {
@@ -388,6 +392,12 @@ export const controlNetSlice = createSlice({
     ) => {
       state.ipAdapterInfo.model = action.payload;
     },
+    ipAdapterBeginStepPctChanged: (state, action: PayloadAction<number>) => {
+      state.ipAdapterInfo.beginStepPct = action.payload;
+    },
+    ipAdapterEndStepPctChanged: (state, action: PayloadAction<number>) => {
+      state.ipAdapterInfo.endStepPct = action.payload;
+    },
     ipAdapterStateReset: (state) => {
       state.isIPAdapterEnabled = false;
       state.ipAdapterInfo = { ...initialIPAdapterState };
@@ -455,6 +465,8 @@ export const {
   ipAdapterImageChanged,
   ipAdapterWeightChanged,
   ipAdapterModelChanged,
+  ipAdapterBeginStepPctChanged,
+  ipAdapterEndStepPctChanged,
   ipAdapterStateReset,
 } = controlNetSlice.actions;
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts
index 95b63e7c3f..da67b1d34d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts
@@ -14,16 +14,18 @@ export const addIPAdapterToLinearGraph = (
   //   | MetadataAccumulatorInvocation
   //   | undefined;
 
-  if (isIPAdapterEnabled) {
+  if (isIPAdapterEnabled && ipAdapterInfo.model) {
     const ipAdapterNode: IPAdapterInvocation = {
       id: IP_ADAPTER,
       type: 'ip_adapter',
       is_intermediate: true,
       weight: ipAdapterInfo.weight,
       ip_adapter_model: {
-        base_model: 'sd-1',
-        model_name: 'ip_adapter_plus_sd15',
+        base_model: ipAdapterInfo.model?.base_model,
+        model_name: ipAdapterInfo.model?.model_name,
       },
+      begin_step_percent: ipAdapterInfo.beginStepPct,
+      end_step_percent: ipAdapterInfo.endStepPct,
     };
 
     if (ipAdapterInfo.adapterImage) {
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 91749c585f..b36f64e90c 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -2564,10 +2564,22 @@ export type components = {
       image_encoder_model: components["schemas"]["CLIPVisionModelField"];
       /**
        * Weight
-       * @description The weight of the IP-Adapter.
+       * @description The weight given to the ControlNet
        * @default 1
        */
-      weight?: number;
+      weight?: number | number[];
+      /**
+       * Begin Step Percent
+       * @description When the IP-Adapter is first applied (% of total steps)
+       * @default 0
+       */
+      begin_step_percent?: number;
+      /**
+       * End Step Percent
+       * @description When the IP-Adapter is last applied (% of total steps)
+       * @default 1
+       */
+      end_step_percent?: number;
     };
     /**
      * IP-Adapter
@@ -2602,10 +2614,22 @@ export type components = {
       ip_adapter_model: components["schemas"]["IPAdapterModelField"];
       /**
        * Weight
-       * @description The weight of the IP-Adapter.
+       * @description The weight given to the IP-Adapter
        * @default 1
        */
-      weight?: number;
+      weight?: number | number[];
+      /**
+       * Begin Step Percent
+       * @description When the IP-Adapter is first applied (% of total steps)
+       * @default 0
+       */
+      begin_step_percent?: number;
+      /**
+       * End Step Percent
+       * @description When the IP-Adapter is last applied (% of total steps)
+       * @default 1
+       */
+      end_step_percent?: number;
       /**
        * Type
        * @default ip_adapter
@@ -7706,18 +7730,6 @@ export type components = {
       /** Ui Order */
       ui_order?: number;
     };
-    /**
-     * CLIPVisionModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    CLIPVisionModelFormat: "diffusers";
-    /**
-     * StableDiffusion2ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat
      * @description An enumeration.
@@ -7725,17 +7737,17 @@ export type components = {
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
-     * ControlNetModelFormat
+     * StableDiffusionOnnxModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
-     * IPAdapterModelFormat
+     * CLIPVisionModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    IPAdapterModelFormat: "invokeai";
+    CLIPVisionModelFormat: "diffusers";
     /**
      * StableDiffusion1ModelFormat
      * @description An enumeration.
@@ -7743,11 +7755,23 @@ export type components = {
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
-     * StableDiffusionOnnxModelFormat
+     * IPAdapterModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    IPAdapterModelFormat: "invokeai";
+    /**
+     * StableDiffusion2ModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * ControlNetModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;

From 11c501fc800415c018b4384747e7c833f742c214 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 17 Sep 2023 11:58:15 +1200
Subject: [PATCH 175/265] fix: Upload issue with the ip adapter image uploader

---
 .../controlNet/components/ipAdapter/ParamIPAdapterImage.tsx    | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
index dccbd89ae7..97942df0a7 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
@@ -62,7 +62,8 @@ const ParamIPAdapterImage = () => {
         imageDTO={imageDTO}
         droppableData={droppableData}
         draggableData={draggableData}
-        isUploadDisabled={!isIPAdapterEnabled}
+        isUploadDisabled={true}
+        isDropDisabled={!isIPAdapterEnabled}
         dropLabel={t('toast.setIPAdapterImage')}
         noContentFallback={
           <IAINoContentFallback

From b7773c9962bfbe1c49ad73ee7034673e7e324914 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 17 Sep 2023 12:00:21 +1200
Subject: [PATCH 176/265] chore: black & lint fixes

---
 invokeai/app/invocations/ip_adapter.py                |  5 +++--
 .../backend/stable_diffusion/diffusers_pipeline.py    | 11 ++++++++---
 2 files changed, 11 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index ff025011cb..d9fb7a78e5 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -64,8 +64,9 @@ class IPAdapterInvocation(BaseInvocation):
     )
 
     # weight: float = InputField(default=1.0, description="The weight of the IP-Adapter.", ui_type=UIType.Float)
-    weight: Union[float, List[float]] = InputField(default=1, ge=0, description="The weight given to the IP-Adapter",
-                                                   ui_type=UIType.Float, title="Weight")
+    weight: Union[float, List[float]] = InputField(
+        default=1, ge=0, description="The weight given to the IP-Adapter", ui_type=UIType.Float, title="Weight"
+    )
 
     begin_step_percent: float = InputField(
         default=0, ge=-1, le=2, description="When the IP-Adapter is first applied (% of total steps)"
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index f57a152315..c45094b9b0 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -423,7 +423,8 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             # As it is now, the IP-Adapter will silently be skipped.
             weight = ip_adapter_data.weight[0] if isinstance(ip_adapter_data.weight, List) else ip_adapter_data.weight
             attn_ctx = ip_adapter_data.ip_adapter_model.apply_ip_adapter_attention(
-                unet=self.invokeai_diffuser.model, scale=weight,
+                unet=self.invokeai_diffuser.model,
+                scale=weight,
             )
             self.use_ip_adapter = True
         else:
@@ -510,10 +511,14 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         latent_model_input = self.scheduler.scale_model_input(latents, timestep)
 
         # handle IP-Adapter
-        if self.use_ip_adapter and ip_adapter_data is not None: # somewhat redundant but logic is clearer
+        if self.use_ip_adapter and ip_adapter_data is not None:  # somewhat redundant but logic is clearer
             first_adapter_step = math.floor(ip_adapter_data.begin_step_percent * total_step_count)
             last_adapter_step = math.ceil(ip_adapter_data.end_step_percent * total_step_count)
-            weight = ip_adapter_data.weight[step_index] if isinstance(ip_adapter_data.weight, List) else ip_adapter_data.weight
+            weight = (
+                ip_adapter_data.weight[step_index]
+                if isinstance(ip_adapter_data.weight, List)
+                else ip_adapter_data.weight
+            )
             if step_index >= first_adapter_step and step_index <= last_adapter_step:
                 # only apply IP-Adapter if current step is within the IP-Adapter's begin/end step range
                 # ip_adapter_data.ip_adapter_model.set_scale(ip_adapter_data.weight)

From 231b7a5000445db3eba724d4c633fa9f5fda27ce Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 17 Sep 2023 12:08:35 +1200
Subject: [PATCH 177/265] fix: Upload not working correctly on the ip Adapter
 image upload

---
 .../ipAdapter/ParamIPAdapterImage.tsx         | 33 +++++++++----------
 1 file changed, 16 insertions(+), 17 deletions(-)

diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
index 97942df0a7..ed92705c23 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
@@ -3,7 +3,7 @@ import { skipToken } from '@reduxjs/toolkit/dist/query';
 import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIDndImage from 'common/components/IAIDndImage';
-import IAIIconButton from 'common/components/IAIIconButton';
+import IAIDndImageIcon from 'common/components/IAIDndImageIcon';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import { ipAdapterImageChanged } from 'features/controlNet/store/controlNetSlice';
 import {
@@ -14,6 +14,7 @@ import { memo, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { FaUndo } from 'react-icons/fa';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
+import { PostUploadAction } from 'services/api/types';
 
 const ParamIPAdapterImage = () => {
   const ipAdapterInfo = useAppSelector(
@@ -49,6 +50,13 @@ const ParamIPAdapterImage = () => {
     []
   );
 
+  const postUploadAction = useMemo<PostUploadAction>(
+    () => ({
+      type: 'SET_IP_ADAPTER_IMAGE',
+    }),
+    []
+  );
+
   return (
     <Flex
       sx={{
@@ -62,7 +70,8 @@ const ParamIPAdapterImage = () => {
         imageDTO={imageDTO}
         droppableData={droppableData}
         draggableData={draggableData}
-        isUploadDisabled={true}
+        postUploadAction={postUploadAction}
+        isUploadDisabled={!isIPAdapterEnabled}
         isDropDisabled={!isIPAdapterEnabled}
         dropLabel={t('toast.setIPAdapterImage')}
         noContentFallback={
@@ -72,21 +81,11 @@ const ParamIPAdapterImage = () => {
         }
       />
 
-      {ipAdapterInfo.adapterImage && (
-        <IAIIconButton
-          tooltip={t('controlnet.resetIPAdapterImage')}
-          aria-label={t('controlnet.resetIPAdapterImage')}
-          icon={<FaUndo />}
-          onClick={() => dispatch(ipAdapterImageChanged(null))}
-          isDisabled={!imageDTO}
-          size="sm"
-          sx={{
-            position: 'absolute',
-            top: 3,
-            right: 3,
-          }}
-        />
-      )}
+      <IAIDndImageIcon
+        onClick={() => dispatch(ipAdapterImageChanged(null))}
+        icon={ipAdapterInfo.adapterImage ? <FaUndo /> : undefined}
+        tooltip={t('controlnet.resetIPAdapterImage')}
+      />
     </Flex>
   );
 };

From e0dddbd38efba28c9855a2ed0f2b7547c56cbcfd Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 17 Sep 2023 12:13:03 +1200
Subject: [PATCH 178/265] chore: fix isort issues

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

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index c45094b9b0..150481747a 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -1,8 +1,8 @@
 from __future__ import annotations
 
+import math
 from contextlib import nullcontext
 from dataclasses import dataclass
-import math
 from typing import Any, Callable, List, Optional, Union
 
 import einops

From 2a3909da94c33f92936f9c4c39535fee2507a429 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 17 Sep 2023 12:14:58 +1200
Subject: [PATCH 179/265] isort: fix issues

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

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index d9fb7a78e5..0c5b858112 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -1,8 +1,8 @@
 import os
+from builtins import float
+from typing import List, Union
 
-from builtins import bool, float
 from pydantic import BaseModel, Field
-from typing import Dict, List, Literal, Optional, Union
 
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,

From 627750eded45a81d2d2b841a641a009c8022b365 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <martin@modyfi.io>
Date: Sat, 16 Sep 2023 11:47:05 -0400
Subject: [PATCH 180/265] Adding excludes to flake8 config

---
 pyproject.toml | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/pyproject.toml b/pyproject.toml
index 63ac3b7c12..2ea5455c3d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -198,6 +198,13 @@ output = "coverage/index.xml"
 max-line-length = 120
 ignore = ["E203", "E266", "E501", "W503"]
 select = ["B", "C", "E", "F", "W", "T4"]
+exclude = [
+  ".git",
+  "__pycache__",
+  "build",
+  "dist",
+  "invokeai/frontend/web/node_modules/"
+]
 
 [tool.black]
 line-length = 120

From 5a961bb58e695f306a95b2ea2ce300dfeae5e46e Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Fri, 15 Sep 2023 16:52:30 -0400
Subject: [PATCH 181/265] first pass to recall LoRAs

---
 .../ImageMetadataActions.tsx                  | 79 ++++++-------------
 .../web/src/features/lora/store/loraSlice.ts  |  8 ++
 .../web/src/features/nodes/types/types.ts     | 16 ++--
 .../parameters/hooks/useRecallParameters.ts   | 52 +++++++++++-
 4 files changed, 90 insertions(+), 65 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
index c1124477e2..a0ea69157c 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
@@ -1,8 +1,9 @@
-import { CoreMetadata } from 'features/nodes/types/types';
+import { CoreMetadata, LoRAMetadataType } from 'features/nodes/types/types';
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { memo, useCallback } from 'react';
 import ImageMetadataItem from './ImageMetadataItem';
 import { useTranslation } from 'react-i18next';
+import { isValidLoRAModel } from '../../../parameters/types/parameterSchemas';
 
 type Props = {
   metadata?: CoreMetadata;
@@ -24,6 +25,7 @@ const ImageMetadataActions = (props: Props) => {
     recallWidth,
     recallHeight,
     recallStrength,
+    recallLoRA,
   } = useRecallParameters();
 
   const handleRecallPositivePrompt = useCallback(() => {
@@ -66,6 +68,13 @@ const ImageMetadataActions = (props: Props) => {
     recallStrength(metadata?.strength);
   }, [metadata?.strength, recallStrength]);
 
+  const handleRecallLoRA = useCallback(
+    (lora: LoRAMetadataType) => {
+      recallLoRA(lora);
+    },
+    [recallLoRA]
+  );
+
   if (!metadata || Object.keys(metadata).length === 0) {
     return null;
   }
@@ -130,20 +139,6 @@ const ImageMetadataActions = (props: Props) => {
           onClick={handleRecallHeight}
         />
       )}
-      {/* {metadata.threshold !== undefined && (
-          <MetadataItem
-            label={t('metadata.threshold')}
-            value={metadata.threshold}
-            onClick={() => dispatch(setThreshold(Number(metadata.threshold)))}
-          />
-        )}
-        {metadata.perlin !== undefined && (
-          <MetadataItem
-            label={t('metadata.perlin')}
-            value={metadata.perlin}
-            onClick={() => dispatch(setPerlin(Number(metadata.perlin)))}
-          />
-        )} */}
       {metadata.scheduler && (
         <ImageMetadataItem
           label={t('metadata.scheduler')}
@@ -165,40 +160,6 @@ const ImageMetadataActions = (props: Props) => {
           onClick={handleRecallCfgScale}
         />
       )}
-      {/* {metadata.variations && metadata.variations.length > 0 && (
-          <MetadataItem
-            label="{t('metadata.variations')}
-            value={seedWeightsToString(metadata.variations)}
-            onClick={() =>
-              dispatch(
-                setSeedWeights(seedWeightsToString(metadata.variations))
-              )
-            }
-          />
-        )}
-        {metadata.seamless && (
-          <MetadataItem
-            label={t('metadata.seamless')}
-            value={metadata.seamless}
-            onClick={() => dispatch(setSeamless(metadata.seamless))}
-          />
-        )}
-        {metadata.hires_fix && (
-          <MetadataItem
-            label={t('metadata.hiresFix')}
-            value={metadata.hires_fix}
-            onClick={() => dispatch(setHiresFix(metadata.hires_fix))}
-          />
-        )} */}
-
-      {/* {init_image_path && (
-          <MetadataItem
-            label={t('metadata.initImage')}
-            value={init_image_path}
-            isLink
-            onClick={() => dispatch(setInitialImage(init_image_path))}
-          />
-        )} */}
       {metadata.strength && (
         <ImageMetadataItem
           label={t('metadata.strength')}
@@ -206,13 +167,19 @@ const ImageMetadataActions = (props: Props) => {
           onClick={handleRecallStrength}
         />
       )}
-      {/* {metadata.fit && (
-          <MetadataItem
-            label={t('metadata.fit')}
-            value={metadata.fit}
-            onClick={() => dispatch(setShouldFitToWidthHeight(metadata.fit))}
-          />
-        )} */}
+      {metadata.loras &&
+        metadata.loras.map((lora, index) => {
+          if (isValidLoRAModel(lora.lora)) {
+            return (
+              <ImageMetadataItem
+                key={index}
+                label="LoRA"
+                value={`${lora.lora.model_name} - ${lora.weight}`}
+                onClick={() => handleRecallLoRA(lora)}
+              />
+            );
+          }
+        })}
     </>
   );
 };
diff --git a/invokeai/frontend/web/src/features/lora/store/loraSlice.ts b/invokeai/frontend/web/src/features/lora/store/loraSlice.ts
index 10a1671933..bbe019b1c3 100644
--- a/invokeai/frontend/web/src/features/lora/store/loraSlice.ts
+++ b/invokeai/frontend/web/src/features/lora/store/loraSlice.ts
@@ -27,6 +27,13 @@ export const loraSlice = createSlice({
       const { model_name, id, base_model } = action.payload;
       state.loras[id] = { id, model_name, base_model, ...defaultLoRAConfig };
     },
+    loraRecalled: (
+      state,
+      action: PayloadAction<LoRAModelConfigEntity & { weight: number }>
+    ) => {
+      const { model_name, id, base_model, weight } = action.payload;
+      state.loras[id] = { id, model_name, base_model, weight };
+    },
     loraRemoved: (state, action: PayloadAction<string>) => {
       const id = action.payload;
       delete state.loras[id];
@@ -62,6 +69,7 @@ export const {
   loraWeightChanged,
   loraWeightReset,
   lorasCleared,
+  loraRecalled,
 } = loraSlice.actions;
 
 export default loraSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index a4b71457f7..6a03c07d57 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -1057,6 +1057,13 @@ export const isInvocationFieldSchema = (
 
 export type InvocationEdgeExtra = { type: 'default' | 'collapsed' };
 
+const zLoRAObject = z.object({
+  lora: zLoRAModelField.deepPartial(),
+  weight: z.number(),
+});
+
+export type LoRAMetadataType = z.infer<typeof zLoRAObject>;
+
 export const zCoreMetadata = z
   .object({
     app_version: z.string().nullish(),
@@ -1076,14 +1083,7 @@ export const zCoreMetadata = z
       .union([zMainModel.deepPartial(), zOnnxModel.deepPartial()])
       .nullish(),
     controlnets: z.array(zControlField.deepPartial()).nullish(),
-    loras: z
-      .array(
-        z.object({
-          lora: zLoRAModelField.deepPartial(),
-          weight: z.number(),
-        })
-      )
-      .nullish(),
+    loras: z.array(zLoRAObject).nullish(),
     vae: zVaeModelField.nullish(),
     strength: z.number().nullish(),
     init_image: z.string().nullish(),
diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
index 203ff2cb1b..d7fcc2c9a4 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
@@ -1,6 +1,10 @@
 import { useAppToaster } from 'app/components/Toaster';
 import { useAppDispatch } from 'app/store/storeHooks';
-import { CoreMetadata } from 'features/nodes/types/types';
+import {
+  CoreMetadata,
+  LoRAMetadataType,
+  LoraInfo,
+} from 'features/nodes/types/types';
 import {
   refinerModelChanged,
   setNegativeStylePromptSDXL,
@@ -30,6 +34,7 @@ import {
 import {
   isValidCfgScale,
   isValidHeight,
+  isValidLoRAModel,
   isValidMainModel,
   isValidNegativePrompt,
   isValidPositivePrompt,
@@ -45,6 +50,8 @@ import {
   isValidStrength,
   isValidWidth,
 } from '../types/parameterSchemas';
+import { loraRecalled } from '../../lora/store/loraSlice';
+import { useGetLoRAModelsQuery } from '../../../services/api/endpoints/models';
 
 export const useRecallParameters = () => {
   const dispatch = useAppDispatch();
@@ -307,6 +314,48 @@ export const useRecallParameters = () => {
     [dispatch, parameterSetToast, parameterNotSetToast]
   );
 
+  /**
+   * Recall LoRA with toast
+   */
+
+  const { data: loraModels } = useGetLoRAModelsQuery();
+
+  const recallLoRA = useCallback(
+    (lora: LoRAMetadataType) => {
+      if (!isValidLoRAModel(lora.lora)) {
+        parameterNotSetToast();
+        return;
+      }
+
+      if (!loraModels || !loraModels.entities) {
+        return;
+      }
+
+      const matchingId = Object.keys(loraModels.entities).find((loraId) => {
+        const matchesBaseModel =
+          loraModels.entities[loraId]?.base_model === lora.lora.base_model;
+        const matchesModelName =
+          loraModels.entities[loraId]?.model_name === lora.lora.model_name;
+        return matchesBaseModel && matchesModelName;
+      });
+
+      if (!matchingId) {
+return;
+}
+
+      const fullLoRA = loraModels.entities[matchingId];
+
+      if (!fullLoRA) {
+return;
+}
+
+      dispatch(loraRecalled({ ...fullLoRA, weight: lora.weight }));
+
+      parameterSetToast();
+    },
+    [dispatch, parameterSetToast, parameterNotSetToast, loraModels]
+  );
+
   /*
    * Sets image as initial image with toast
    */
@@ -444,6 +493,7 @@ export const useRecallParameters = () => {
     recallWidth,
     recallHeight,
     recallStrength,
+    recallLoRA,
     recallAllParameters,
     sendToImageToImage,
   };

From fdf9833c39617cbf5a97095df98fe4920d61d376 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Fri, 15 Sep 2023 16:53:42 -0400
Subject: [PATCH 182/265] add toast

---
 .../features/parameters/hooks/useRecallParameters.ts  | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
index d7fcc2c9a4..9045646ad5 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
@@ -328,6 +328,7 @@ export const useRecallParameters = () => {
       }
 
       if (!loraModels || !loraModels.entities) {
+        parameterNotSetToast();
         return;
       }
 
@@ -340,14 +341,16 @@ export const useRecallParameters = () => {
       });
 
       if (!matchingId) {
-return;
-}
+        parameterNotSetToast();
+        return;
+      }
 
       const fullLoRA = loraModels.entities[matchingId];
 
       if (!fullLoRA) {
-return;
-}
+        parameterNotSetToast();
+        return;
+      }
 
       dispatch(loraRecalled({ ...fullLoRA, weight: lora.weight }));
 

From cc0482ae8bf80b38ab262e7e46b70e47b0425273 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 18 Sep 2023 15:24:11 +1000
Subject: [PATCH 183/265] feat(ui): simplify lora recall check

---
 .../ImageMetadataActions.tsx                  |  2 +-
 .../parameters/hooks/useRecallParameters.ts   | 59 ++++++++-----------
 .../web/src/services/api/endpoints/models.ts  |  2 +-
 3 files changed, 28 insertions(+), 35 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
index a0ea69157c..cf58334667 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
@@ -1,9 +1,9 @@
 import { CoreMetadata, LoRAMetadataType } from 'features/nodes/types/types';
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { memo, useCallback } from 'react';
-import ImageMetadataItem from './ImageMetadataItem';
 import { useTranslation } from 'react-i18next';
 import { isValidLoRAModel } from '../../../parameters/types/parameterSchemas';
+import ImageMetadataItem from './ImageMetadataItem';
 
 type Props = {
   metadata?: CoreMetadata;
diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
index 9045646ad5..fc33200bd3 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
@@ -1,10 +1,6 @@
 import { useAppToaster } from 'app/components/Toaster';
 import { useAppDispatch } from 'app/store/storeHooks';
-import {
-  CoreMetadata,
-  LoRAMetadataType,
-  LoraInfo,
-} from 'features/nodes/types/types';
+import { CoreMetadata, LoRAMetadataType } from 'features/nodes/types/types';
 import {
   refinerModelChanged,
   setNegativeStylePromptSDXL,
@@ -19,6 +15,11 @@ import {
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { ImageDTO } from 'services/api/types';
+import {
+  loraModelsAdapter,
+  useGetLoRAModelsQuery,
+} from '../../../services/api/endpoints/models';
+import { loraRecalled } from '../../lora/store/loraSlice';
 import { initialImageSelected, modelSelected } from '../store/actions';
 import {
   setCfgScale,
@@ -50,8 +51,6 @@ import {
   isValidStrength,
   isValidWidth,
 } from '../types/parameterSchemas';
-import { loraRecalled } from '../../lora/store/loraSlice';
-import { useGetLoRAModelsQuery } from '../../../services/api/endpoints/models';
 
 export const useRecallParameters = () => {
   const dispatch = useAppDispatch();
@@ -318,45 +317,39 @@ export const useRecallParameters = () => {
    * Recall LoRA with toast
    */
 
-  const { data: loraModels } = useGetLoRAModelsQuery();
+  const { loras } = useGetLoRAModelsQuery(undefined, {
+    selectFromResult: (result) => ({
+      loras: result.data
+        ? loraModelsAdapter.getSelectors().selectAll(result.data)
+        : [],
+    }),
+  });
 
   const recallLoRA = useCallback(
-    (lora: LoRAMetadataType) => {
-      if (!isValidLoRAModel(lora.lora)) {
+    (loraMetadataItem: LoRAMetadataType) => {
+      if (!isValidLoRAModel(loraMetadataItem.lora)) {
         parameterNotSetToast();
         return;
       }
 
-      if (!loraModels || !loraModels.entities) {
+      const { base_model, model_name } = loraMetadataItem.lora;
+
+      const matchingLoRA = loras.find(
+        (l) => l.base_model === base_model && l.model_name === model_name
+      );
+
+      if (!matchingLoRA) {
         parameterNotSetToast();
         return;
       }
 
-      const matchingId = Object.keys(loraModels.entities).find((loraId) => {
-        const matchesBaseModel =
-          loraModels.entities[loraId]?.base_model === lora.lora.base_model;
-        const matchesModelName =
-          loraModels.entities[loraId]?.model_name === lora.lora.model_name;
-        return matchesBaseModel && matchesModelName;
-      });
-
-      if (!matchingId) {
-        parameterNotSetToast();
-        return;
-      }
-
-      const fullLoRA = loraModels.entities[matchingId];
-
-      if (!fullLoRA) {
-        parameterNotSetToast();
-        return;
-      }
-
-      dispatch(loraRecalled({ ...fullLoRA, weight: lora.weight }));
+      dispatch(
+        loraRecalled({ ...matchingLoRA, weight: loraMetadataItem.weight })
+      );
 
       parameterSetToast();
     },
-    [dispatch, parameterSetToast, parameterNotSetToast, loraModels]
+    [loras, dispatch, parameterSetToast, parameterNotSetToast]
   );
 
   /*
diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts
index 9be8bd13f6..9db7762344 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/models.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts
@@ -128,7 +128,7 @@ export const mainModelsAdapter = createEntityAdapter<MainModelConfigEntity>({
 const onnxModelsAdapter = createEntityAdapter<OnnxModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
-const loraModelsAdapter = createEntityAdapter<LoRAModelConfigEntity>({
+export const loraModelsAdapter = createEntityAdapter<LoRAModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
 export const controlNetModelsAdapter =

From 94f16b1c69784ca417ae8613164e6c09fa523b54 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 18 Sep 2023 15:54:40 +1000
Subject: [PATCH 184/265] feat(ui): provide feedback when recalling invalid
 lora

---
 .../ImageMetadataActions.tsx                  |   4 +-
 .../web/src/features/nodes/types/types.ts     |   6 +-
 .../parameters/hooks/useRecallParameters.ts   | 105 +++++++++++++-----
 3 files changed, 83 insertions(+), 32 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
index cf58334667..4f1bd39b8c 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
@@ -1,4 +1,4 @@
-import { CoreMetadata, LoRAMetadataType } from 'features/nodes/types/types';
+import { CoreMetadata, LoRAMetadataItem } from 'features/nodes/types/types';
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -69,7 +69,7 @@ const ImageMetadataActions = (props: Props) => {
   }, [metadata?.strength, recallStrength]);
 
   const handleRecallLoRA = useCallback(
-    (lora: LoRAMetadataType) => {
+    (lora: LoRAMetadataItem) => {
       recallLoRA(lora);
     },
     [recallLoRA]
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index 6a03c07d57..c92a41391c 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -1057,12 +1057,12 @@ export const isInvocationFieldSchema = (
 
 export type InvocationEdgeExtra = { type: 'default' | 'collapsed' };
 
-const zLoRAObject = z.object({
+const zLoRAMetadataItem = z.object({
   lora: zLoRAModelField.deepPartial(),
   weight: z.number(),
 });
 
-export type LoRAMetadataType = z.infer<typeof zLoRAObject>;
+export type LoRAMetadataItem = z.infer<typeof zLoRAMetadataItem>;
 
 export const zCoreMetadata = z
   .object({
@@ -1083,7 +1083,7 @@ export const zCoreMetadata = z
       .union([zMainModel.deepPartial(), zOnnxModel.deepPartial()])
       .nullish(),
     controlnets: z.array(zControlField.deepPartial()).nullish(),
-    loras: z.array(zLoRAObject).nullish(),
+    loras: z.array(zLoRAMetadataItem).nullish(),
     vae: zVaeModelField.nullish(),
     strength: z.number().nullish(),
     init_image: z.string().nullish(),
diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
index fc33200bd3..38764ed856 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
@@ -1,6 +1,8 @@
+import { createSelector } from '@reduxjs/toolkit';
 import { useAppToaster } from 'app/components/Toaster';
-import { useAppDispatch } from 'app/store/storeHooks';
-import { CoreMetadata, LoRAMetadataType } from 'features/nodes/types/types';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { CoreMetadata, LoRAMetadataItem } from 'features/nodes/types/types';
 import {
   refinerModelChanged,
   setNegativeStylePromptSDXL,
@@ -12,7 +14,7 @@ import {
   setRefinerStart,
   setRefinerSteps,
 } from 'features/sdxl/store/sdxlSlice';
-import { useCallback } from 'react';
+import { useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { ImageDTO } from 'services/api/types';
 import {
@@ -52,10 +54,16 @@ import {
   isValidWidth,
 } from '../types/parameterSchemas';
 
+const selector = createSelector(stateSelector, ({ generation }) => {
+  const { model } = generation;
+  return { model };
+});
+
 export const useRecallParameters = () => {
   const dispatch = useAppDispatch();
   const toaster = useAppToaster();
   const { t } = useTranslation();
+  const { model } = useAppSelector(selector);
 
   const parameterSetToast = useCallback(() => {
     toaster({
@@ -66,14 +74,18 @@ export const useRecallParameters = () => {
     });
   }, [t, toaster]);
 
-  const parameterNotSetToast = useCallback(() => {
-    toaster({
-      title: t('toast.parameterNotSet'),
-      status: 'warning',
-      duration: 2500,
-      isClosable: true,
-    });
-  }, [t, toaster]);
+  const parameterNotSetToast = useCallback(
+    (description?: string) => {
+      toaster({
+        title: t('toast.parameterNotSet'),
+        description,
+        status: 'warning',
+        duration: 2500,
+        isClosable: true,
+      });
+    },
+    [t, toaster]
+  );
 
   const allParameterSetToast = useCallback(() => {
     toaster({
@@ -84,14 +96,18 @@ export const useRecallParameters = () => {
     });
   }, [t, toaster]);
 
-  const allParameterNotSetToast = useCallback(() => {
-    toaster({
-      title: t('toast.parametersNotSet'),
-      status: 'warning',
-      duration: 2500,
-      isClosable: true,
-    });
-  }, [t, toaster]);
+  const allParameterNotSetToast = useCallback(
+    (description?: string) => {
+      toaster({
+        title: t('toast.parametersNotSet'),
+        status: 'warning',
+        description,
+        duration: 2500,
+        isClosable: true,
+      });
+    },
+    [t, toaster]
+  );
 
   /**
    * Recall both prompts with toast
@@ -325,11 +341,10 @@ export const useRecallParameters = () => {
     }),
   });
 
-  const recallLoRA = useCallback(
-    (loraMetadataItem: LoRAMetadataType) => {
+  const prepareLoRAMetadataItem = useCallback(
+    (loraMetadataItem: LoRAMetadataItem) => {
       if (!isValidLoRAModel(loraMetadataItem.lora)) {
-        parameterNotSetToast();
-        return;
+        return { lora: null, error: 'Invalid LoRA model' };
       }
 
       const { base_model, model_name } = loraMetadataItem.lora;
@@ -339,17 +354,40 @@ export const useRecallParameters = () => {
       );
 
       if (!matchingLoRA) {
-        parameterNotSetToast();
+        return { lora: null, error: 'LoRA model is not installed' };
+      }
+
+      const isCompatibleBaseModel =
+        matchingLoRA?.base_model === model?.base_model;
+
+      if (!isCompatibleBaseModel) {
+        return {
+          lora: null,
+          error: 'LoRA incompatible with currently-selected model',
+        };
+      }
+
+      return { lora: matchingLoRA, error: null };
+    },
+    [loras, model?.base_model]
+  );
+
+  const recallLoRA = useCallback(
+    (loraMetadataItem: LoRAMetadataItem) => {
+      const result = prepareLoRAMetadataItem(loraMetadataItem);
+
+      if (!result.lora) {
+        parameterNotSetToast(result.error);
         return;
       }
 
       dispatch(
-        loraRecalled({ ...matchingLoRA, weight: loraMetadataItem.weight })
+        loraRecalled({ ...result.lora, weight: loraMetadataItem.weight })
       );
 
       parameterSetToast();
     },
-    [loras, dispatch, parameterSetToast, parameterNotSetToast]
+    [prepareLoRAMetadataItem, dispatch, parameterSetToast, parameterNotSetToast]
   );
 
   /*
@@ -389,6 +427,7 @@ export const useRecallParameters = () => {
         refiner_positive_aesthetic_score,
         refiner_negative_aesthetic_score,
         refiner_start,
+        loras,
       } = metadata;
 
       if (isValidCfgScale(cfg_scale)) {
@@ -470,9 +509,21 @@ export const useRecallParameters = () => {
         dispatch(setRefinerStart(refiner_start));
       }
 
+      loras?.forEach((lora) => {
+        const result = prepareLoRAMetadataItem(lora);
+        if (result.lora) {
+          dispatch(loraRecalled({ ...result.lora, weight: lora.weight }));
+        }
+      });
+
       allParameterSetToast();
     },
-    [allParameterNotSetToast, allParameterSetToast, dispatch]
+    [
+      allParameterNotSetToast,
+      allParameterSetToast,
+      dispatch,
+      prepareLoRAMetadataItem,
+    ]
   );
 
   return {

From 18698744339fe98d0707e6d769d23ed6ad5a93cc Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 18 Sep 2023 15:58:55 +1000
Subject: [PATCH 185/265] chore(ui): lint

---
 .../web/src/features/parameters/hooks/useRecallParameters.ts    | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
index 38764ed856..bc850df0d0 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
@@ -14,7 +14,7 @@ import {
   setRefinerStart,
   setRefinerSteps,
 } from 'features/sdxl/store/sdxlSlice';
-import { useCallback, useMemo } from 'react';
+import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { ImageDTO } from 'services/api/types';
 import {

From dc2e1a42bce3f231a8956a7727df15dbe8cf0d03 Mon Sep 17 00:00:00 2001
From: Jennifer Player <chainchompa@gmail.com>
Date: Mon, 18 Sep 2023 09:12:03 -0400
Subject: [PATCH 186/265] add param negative conditioning tooltip

---
 .../Core/ParamNegativeConditioning.tsx        | 27 ++++++++++---------
 1 file changed, 15 insertions(+), 12 deletions(-)

diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx
index 2aab013f4f..1154187eaf 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx
@@ -9,6 +9,7 @@ import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
 import { flushSync } from 'react-dom';
 import { useTranslation } from 'react-i18next';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const ParamNegativeConditioning = () => {
   const negativePrompt = useAppSelector(
@@ -81,18 +82,20 @@ const ParamNegativeConditioning = () => {
         onClose={onClose}
         onSelect={handleSelectEmbedding}
       >
-        <IAITextarea
-          id="negativePrompt"
-          name="negativePrompt"
-          ref={promptRef}
-          value={negativePrompt}
-          placeholder={t('parameters.negativePromptPlaceholder')}
-          onChange={handleChangePrompt}
-          resize="vertical"
-          fontSize="sm"
-          minH={16}
-          {...(isEmbeddingEnabled && { onKeyDown: handleKeyDown })}
-        />
+        <IAIInformationalPopover details="paramNegativeConditioning">
+          <IAITextarea
+            id="negativePrompt"
+            name="negativePrompt"
+            ref={promptRef}
+            value={negativePrompt}
+            placeholder={t('parameters.negativePromptPlaceholder')}
+            onChange={handleChangePrompt}
+            resize="vertical"
+            fontSize="sm"
+            minH={16}
+            {...(isEmbeddingEnabled && { onKeyDown: handleKeyDown })}
+          />
+        </IAIInformationalPopover>
       </ParamEmbeddingPopover>
       {!isOpen && isEmbeddingEnabled && (
         <Box

From c46d9b876879b05f4e93d1f3c2e426c1962d9282 Mon Sep 17 00:00:00 2001
From: Jennifer Player <chainchompa@gmail.com>
Date: Mon, 18 Sep 2023 10:31:50 -0400
Subject: [PATCH 187/265] fix ts error in build

---
 .../web/src/common/components/IAIInformationalPopover.tsx  | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
index 2c5d1b7599..1543d85f2c 100644
--- a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
@@ -12,18 +12,17 @@ import {
   Text,
   Image,
 } from '@chakra-ui/react';
-import { ReactNode } from 'react';
 import { useAppSelector } from '../../app/store/storeHooks';
 import { systemSelector } from '../../features/system/store/systemSelectors';
 import { useTranslation } from 'react-i18next';
 
 interface Props extends PopoverProps {
   details: string;
-  children: ReactNode;
+  children: JSX.Element;
   image?: string;
   buttonLabel?: string;
   buttonHref?: string;
-  placement?: string;
+  placement?: PopoverProps['placement'];
 }
 
 function IAIInformationalPopover({
@@ -33,7 +32,7 @@ function IAIInformationalPopover({
   buttonHref,
   children,
   placement,
-}: Props) {
+}: Props): JSX.Element {
   const { shouldDisableInformationalPopovers } = useAppSelector(systemSelector);
   const { t } = useTranslation();
 

From 390a1c9fbba3aac95514523da2fcf31d36e41ff4 Mon Sep 17 00:00:00 2001
From: Jennifer Player <chainchompa@gmail.com>
Date: Mon, 18 Sep 2023 11:01:43 -0400
Subject: [PATCH 188/265] add in compositing settings header info popups

---
 .../common/components/IAIInformationalPopover.tsx |  2 +-
 .../MaskAdjustment/ParamMaskBlurMethod.tsx        |  2 +-
 .../ParamCompositingSettingsCollapse.tsx          | 10 ++++++++--
 .../Parameters/SubParametersWrapper.tsx           | 15 ++++++++++++++-
 4 files changed, 24 insertions(+), 5 deletions(-)

diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
index 1543d85f2c..52a45b7ca9 100644
--- a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
@@ -81,7 +81,7 @@ function IAIInformationalPopover({
                 sx={{
                   gap: 3,
                   flexDirection: 'column',
-
+                  width: '100%',
                   p: 3,
                   pt: heading ? 0 : 3,
                 }}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
index 8b17f46298..12da7fd2fd 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
@@ -29,7 +29,7 @@ export default function ParamMaskBlurMethod() {
   };
 
   return (
-    <IAIInformationalPopover details="compositingBlur">
+    <IAIInformationalPopover details="compositingBlurMethod">
       <IAIMantineSelect
         value={maskBlurMethod}
         onChange={handleMaskBlurMethodChange}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx
index d0a0ff8f01..606d6d2dfc 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx
@@ -15,13 +15,19 @@ const ParamCompositingSettingsCollapse = () => {
   return (
     <IAICollapse label={t('parameters.compositingSettingsHeader')}>
       <Flex sx={{ flexDirection: 'column', gap: 2 }}>
-        <SubParametersWrapper label={t('parameters.coherencePassHeader')}>
+        <SubParametersWrapper
+          label={t('parameters.coherencePassHeader')}
+          headerInfoPopover="compositingCoherencePass"
+        >
           <ParamCanvasCoherenceMode />
           <ParamCanvasCoherenceSteps />
           <ParamCanvasCoherenceStrength />
         </SubParametersWrapper>
         <Divider />
-        <SubParametersWrapper label={t('parameters.maskAdjustmentsHeader')}>
+        <SubParametersWrapper
+          label={t('parameters.maskAdjustmentsHeader')}
+          headerInfoPopover="compositingMaskAdjustments"
+        >
           <ParamMaskBlur />
           <ParamMaskBlurMethod />
         </SubParametersWrapper>
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx
index 96c78b1336..65b565e926 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx
@@ -1,9 +1,11 @@
 import { Flex, Text } from '@chakra-ui/react';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import { ReactNode, memo } from 'react';
 
 type SubParameterWrapperProps = {
   children: ReactNode | ReactNode[];
   label?: string;
+  headerInfoPopover?: string;
 };
 
 const SubParametersWrapper = (props: SubParameterWrapperProps) => (
@@ -21,7 +23,18 @@ const SubParametersWrapper = (props: SubParameterWrapperProps) => (
       },
     }}
   >
-    {props.label && (
+    {props.headerInfoPopover && props.label && (
+      <IAIInformationalPopover details={props.headerInfoPopover}>
+        <Text
+          fontSize="sm"
+          fontWeight="bold"
+          sx={{ color: 'base.600', _dark: { color: 'base.300' } }}
+        >
+          {props.label}
+        </Text>
+      </IAIInformationalPopover>
+    )}
+    {!props.headerInfoPopover && props.label && (
       <Text
         fontSize="sm"
         fontWeight="bold"

From 5c2bdf626bb3d8ccff0dd0b56c439a8f8753ab5f Mon Sep 17 00:00:00 2001
From: Jennifer Player <chainchompa@gmail.com>
Date: Mon, 18 Sep 2023 11:03:02 -0400
Subject: [PATCH 189/265] fix coherence copy

---
 invokeai/frontend/web/public/locales/en.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index a742262a16..6e25726475 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -936,11 +936,11 @@
             "heading": "Coherence Pass",
             "paragraph": "Composite the Inpainted/Outpainted images."
         },
-        "compositingMode": {
+        "compositingCoherenceMode": {
             "heading": "Mode",
             "paragraph": "The mode of the Coherence Pass."
         },
-        "compositingSteps": {
+        "compositingCoherenceSteps": {
             "heading": "Steps",
             "paragraph": "Number of steps in the Coherence Pass. Similar to Denoising Steps."
         },

From 382e2139bd15c844752f2b5465d0c67bdfbd7a71 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Mon, 18 Sep 2023 12:57:23 -0400
Subject: [PATCH 190/265] Clear incompatible IP-Adapter when base model changes
 in the Linear UI.

---
 .../listeners/modelSelected.ts                   | 16 +++++++++++++++-
 1 file changed, 15 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
index eb25b22293..ba42fce950 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
@@ -1,6 +1,9 @@
 import { logger } from 'app/logging/logger';
 import { setBoundingBoxDimensions } from 'features/canvas/store/canvasSlice';
-import { controlNetRemoved } from 'features/controlNet/store/controlNetSlice';
+import {
+  controlNetRemoved,
+  ipAdapterStateReset,
+} from 'features/controlNet/store/controlNetSlice';
 import { loraRemoved } from 'features/lora/store/loraSlice';
 import { modelSelected } from 'features/parameters/store/actions';
 import {
@@ -56,6 +59,7 @@ export const addModelSelectedListener = () => {
           modelsCleared += 1;
         }
 
+        // handle incompatible controlnets
         const { controlNets } = state.controlNet;
         forEach(controlNets, (controlNet, controlNetId) => {
           if (controlNet.model?.base_model !== base_model) {
@@ -64,6 +68,16 @@ export const addModelSelectedListener = () => {
           }
         });
 
+        // handle incompatible IP-Adapter
+        const { ipAdapterInfo } = state.controlNet;
+        if (
+          ipAdapterInfo.model &&
+          ipAdapterInfo.model.base_model !== base_model
+        ) {
+          dispatch(ipAdapterStateReset());
+          modelsCleared += 1;
+        }
+
         if (modelsCleared > 0) {
           dispatch(
             addToast(

From b05b8ef677187c79fc6550c43e63a0cd75d290b7 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Mon, 18 Sep 2023 16:30:53 -0400
Subject: [PATCH 191/265] Switch to using torch 2.0 attention for IP-Adapter
 (more memory-efficient).

---
 .../backend/ip_adapter/attention_processor.py | 133 +-----------------
 invokeai/backend/ip_adapter/ip_adapter.py     |  18 +--
 2 files changed, 8 insertions(+), 143 deletions(-)

diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
index f9854c978c..fd0d65b493 100644
--- a/invokeai/backend/ip_adapter/attention_processor.py
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -10,28 +10,8 @@ from diffusers.models.attention_processor import AttnProcessor as DiffusersAttnP
 from diffusers.models.attention_processor import AttnProcessor2_0 as DiffusersAttnProcessor2_0
 
 
-# Create versions of AttnProcessor and AttnProcessor2_0 that are sub-classes of nn.Module. This is required for
-# IP-Adapter state_dict loading.
-class AttnProcessor(DiffusersAttnProcessor, nn.Module):
-    def __init__(self):
-        DiffusersAttnProcessor.__init__(self)
-        nn.Module.__init__(self)
-
-    def __call__(
-        self,
-        attn,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        ip_adapter_image_prompt_embeds=None,
-    ):
-        """Re-definition of DiffusersAttnProcessor.__call__(...) that accepts and ignores the
-        ip_adapter_image_prompt_embeds parameter.
-        """
-        return DiffusersAttnProcessor.__call__(self, attn, hidden_states, encoder_hidden_states, attention_mask, temb)
-
-
+# Create a version of AttnProcessor2_0 that is a sub-class of nn.Module. This is required for IP-Adapter state_dict
+# loading.
 class AttnProcessor2_0(DiffusersAttnProcessor2_0, nn.Module):
     def __init__(self):
         DiffusersAttnProcessor2_0.__init__(self)
@@ -54,113 +34,6 @@ class AttnProcessor2_0(DiffusersAttnProcessor2_0, nn.Module):
         )
 
 
-class IPAttnProcessor(nn.Module):
-    r"""
-    Attention processor for IP-Adapater.
-    Args:
-        hidden_size (`int`):
-            The hidden size of the attention layer.
-        cross_attention_dim (`int`):
-            The number of channels in the `encoder_hidden_states`.
-        scale (`float`, defaults to 1.0):
-            the weight scale of image prompt.
-    """
-
-    def __init__(self, hidden_size, cross_attention_dim=None, scale=1.0):
-        super().__init__()
-
-        self.hidden_size = hidden_size
-        self.cross_attention_dim = cross_attention_dim
-        self.scale = scale
-
-        self.to_k_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
-        self.to_v_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False)
-
-    def __call__(
-        self,
-        attn,
-        hidden_states,
-        encoder_hidden_states=None,
-        attention_mask=None,
-        temb=None,
-        ip_adapter_image_prompt_embeds=None,
-    ):
-        if encoder_hidden_states is not None:
-            # If encoder_hidden_states is not None, then we are doing cross-attention, not self-attention. In this case,
-            # we will apply IP-Adapter conditioning. We validate the inputs for IP-Adapter conditioning here.
-            assert ip_adapter_image_prompt_embeds is not None
-            # The batch dimensions should match.
-            assert ip_adapter_image_prompt_embeds.shape[0] == encoder_hidden_states.shape[0]
-            # The channel dimensions should match.
-            assert ip_adapter_image_prompt_embeds.shape[2] == encoder_hidden_states.shape[2]
-            ip_hidden_states = ip_adapter_image_prompt_embeds
-
-        residual = hidden_states
-
-        if attn.spatial_norm is not None:
-            hidden_states = attn.spatial_norm(hidden_states, temb)
-
-        input_ndim = hidden_states.ndim
-
-        if input_ndim == 4:
-            batch_size, channel, height, width = hidden_states.shape
-            hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2)
-
-        batch_size, sequence_length, _ = (
-            hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape
-        )
-        attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size)
-
-        if attn.group_norm is not None:
-            hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2)
-
-        query = attn.to_q(hidden_states)
-
-        if encoder_hidden_states is None:
-            encoder_hidden_states = hidden_states
-        elif attn.norm_cross:
-            encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states)
-
-        key = attn.to_k(encoder_hidden_states)
-        value = attn.to_v(encoder_hidden_states)
-
-        query = attn.head_to_batch_dim(query)
-        key = attn.head_to_batch_dim(key)
-        value = attn.head_to_batch_dim(value)
-
-        attention_probs = attn.get_attention_scores(query, key, attention_mask)
-        hidden_states = torch.bmm(attention_probs, value)
-        hidden_states = attn.batch_to_head_dim(hidden_states)
-
-        if ip_hidden_states is not None:
-            ip_key = self.to_k_ip(ip_hidden_states)
-            ip_value = self.to_v_ip(ip_hidden_states)
-
-            ip_key = attn.head_to_batch_dim(ip_key)
-            ip_value = attn.head_to_batch_dim(ip_value)
-
-            ip_attention_probs = attn.get_attention_scores(query, ip_key, None)
-            ip_hidden_states = torch.bmm(ip_attention_probs, ip_value)
-            ip_hidden_states = attn.batch_to_head_dim(ip_hidden_states)
-
-            hidden_states = hidden_states + self.scale * ip_hidden_states
-
-        # linear proj
-        hidden_states = attn.to_out[0](hidden_states)
-        # dropout
-        hidden_states = attn.to_out[1](hidden_states)
-
-        if input_ndim == 4:
-            hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width)
-
-        if attn.residual_connection:
-            hidden_states = hidden_states + residual
-
-        hidden_states = hidden_states / attn.rescale_output_factor
-
-        return hidden_states
-
-
 class IPAttnProcessor2_0(torch.nn.Module):
     r"""
     Attention processor for IP-Adapater for PyTorch 2.0.
@@ -256,7 +129,7 @@ class IPAttnProcessor2_0(torch.nn.Module):
         hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim)
         hidden_states = hidden_states.to(query.dtype)
 
-        if ip_hidden_states:
+        if ip_hidden_states is not None:
             ip_key = self.to_k_ip(ip_hidden_states)
             ip_value = self.to_v_ip(ip_hidden_states)
 
diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py
index cf2c417eee..7f320a2c35 100644
--- a/invokeai/backend/ip_adapter/ip_adapter.py
+++ b/invokeai/backend/ip_adapter/ip_adapter.py
@@ -6,18 +6,10 @@ from typing import Optional, Union
 
 import torch
 from diffusers.models import UNet2DConditionModel
-
-# FIXME: Getting errors when trying to use PyTorch 2.0 versions of IPAttnProcessor and AttnProcessor
-#   so for now falling back to the default versions
-# from .utils import is_torch2_available
-# if is_torch2_available:
-#     from .attention_processor import IPAttnProcessor2_0 as IPAttnProcessor, AttnProcessor2_0 as AttnProcessor
-# else:
-#     from .attention_processor import IPAttnProcessor, AttnProcessor
 from PIL import Image
 from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 
-from .attention_processor import AttnProcessor, IPAttnProcessor
+from .attention_processor import AttnProcessor2_0, IPAttnProcessor2_0
 from .resampler import Resampler
 
 
@@ -118,9 +110,9 @@ class IPAdapter:
                 block_id = int(name[len("down_blocks.")])
                 hidden_size = unet.config.block_out_channels[block_id]
             if cross_attention_dim is None:
-                attn_procs[name] = AttnProcessor()
+                attn_procs[name] = AttnProcessor2_0()
             else:
-                attn_procs[name] = IPAttnProcessor(
+                attn_procs[name] = IPAttnProcessor2_0(
                     hidden_size=hidden_size,
                     cross_attention_dim=cross_attention_dim,
                     scale=1.0,
@@ -138,7 +130,7 @@ class IPAdapter:
     def set_scale(self, scale):
         if self._attn_processors is not None:
             for attn_processor in self._attn_processors.values():
-                if isinstance(attn_processor, IPAttnProcessor):
+                if isinstance(attn_processor, IPAttnProcessor2_0):
                     attn_processor.scale = scale
 
     @contextmanager
@@ -156,7 +148,7 @@ class IPAdapter:
         # Set scale
         self.set_scale(scale)
         # for attn_processor in self._attn_processors.values():
-        #     if isinstance(attn_processor, IPAttnProcessor):
+        #     if isinstance(attn_processor, IPAttnProcessor2_0):
         #         attn_processor.scale = scale
 
         orig_attn_processors = unet.attn_processors

From 92b49e45bbe59fdaaa85aaf180ad485c1dc53c13 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Mon, 18 Sep 2023 16:33:16 -0400
Subject: [PATCH 192/265] Address flake8 error.

---
 invokeai/backend/ip_adapter/attention_processor.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py
index fd0d65b493..352183d1f0 100644
--- a/invokeai/backend/ip_adapter/attention_processor.py
+++ b/invokeai/backend/ip_adapter/attention_processor.py
@@ -6,7 +6,6 @@
 import torch
 import torch.nn as nn
 import torch.nn.functional as F
-from diffusers.models.attention_processor import AttnProcessor as DiffusersAttnProcessor
 from diffusers.models.attention_processor import AttnProcessor2_0 as DiffusersAttnProcessor2_0
 
 

From 8b44d83859ac3b49128b2dc77699d21c96fc3573 Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Tue, 19 Sep 2023 14:03:22 -0400
Subject: [PATCH 193/265] yarn build

---
 .../frontend/web/dist/assets/App-3afcb7b5.js  | 169 ------------------
 .../frontend/web/dist/assets/App-dbf8f111.js  | 169 ++++++++++++++++++
 ...a9a.js => ThemeLocaleProvider-a3380d0c.js} |   2 +-
 .../web/dist/assets/index-cd3a0781.js         | 128 -------------
 .../web/dist/assets/index-f6c3f475.js         | 128 +++++++++++++
 .../{menu-5f867375.js => menu-c9cc8c3d.js}    |   2 +-
 invokeai/frontend/web/dist/index.html         |   2 +-
 invokeai/frontend/web/dist/locales/en.json    | 169 ++++++++++++++++--
 8 files changed, 458 insertions(+), 311 deletions(-)
 delete mode 100644 invokeai/frontend/web/dist/assets/App-3afcb7b5.js
 create mode 100644 invokeai/frontend/web/dist/assets/App-dbf8f111.js
 rename invokeai/frontend/web/dist/assets/{ThemeLocaleProvider-ee6f7a9a.js => ThemeLocaleProvider-a3380d0c.js} (99%)
 delete mode 100644 invokeai/frontend/web/dist/assets/index-cd3a0781.js
 create mode 100644 invokeai/frontend/web/dist/assets/index-f6c3f475.js
 rename invokeai/frontend/web/dist/assets/{menu-5f867375.js => menu-c9cc8c3d.js} (99%)

diff --git a/invokeai/frontend/web/dist/assets/App-3afcb7b5.js b/invokeai/frontend/web/dist/assets/App-3afcb7b5.js
deleted file mode 100644
index 503803a841..0000000000
--- a/invokeai/frontend/web/dist/assets/App-3afcb7b5.js
+++ /dev/null
@@ -1,169 +0,0 @@
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l=i,u=CI(),p=Ld(u.reference,r.ref,t),h=u.withRoles?{"aria-haspopup":s,"aria-expanded":u.opened,"aria-controls":u.getDropdownId(),id:u.getTargetId()}:{};return d.cloneElement(r,lp(nX(lp(lp(lp({},l),h),u.targetProps),{className:e6(u.targetProps.className,l.className,r.props.className),[o]:p}),u.controlled?null:{onClick:u.onToggle}))});kI.displayName="@mantine/core/PopoverTarget";var sX=or((e,{radius:t,shadow:n})=>({dropdown:{position:"absolute",backgroundColor:e.white,background:e.colorScheme==="dark"?e.colors.dark[6]:e.white,border:`${Oe(1)} solid ${e.colorScheme==="dark"?e.colors.dark[4]:e.colors.gray[2]}`,padding:`${e.spacing.sm} ${e.spacing.md}`,boxShadow:e.shadows[n]||n||"none",borderRadius:e.fn.radius(t),"&:focus":{outline:0}},arrow:{backgroundColor:"inherit",border:`${Oe(1)} solid ${e.colorScheme==="dark"?e.colors.dark[4]:e.colors.gray[2]}`,zIndex:1}}));const aX=sX;var 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e)MI.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&Oh)for(var r of Oh(e))t.indexOf(r)<0&&OI.call(e,r)&&(n[r]=e[r]);return n};const EX={};function DI(e){var t;const n=Sn("PopoverDropdown",EX,e),{style:r,className:o,children:s,onKeyDownCapture:i}=n,l=IX(n,["style","className","children","onKeyDownCapture"]),u=CI(),{classes:p,cx:h}=aX({radius:u.radius,shadow:u.shadow},{name:u.__staticSelector,classNames:u.classNames,styles:u.styles,unstyled:u.unstyled,variant:u.variant}),m=fU({opened:u.opened,shouldReturnFocus:u.returnFocus}),v=u.withRoles?{"aria-labelledby":u.getTargetId(),id:u.getDropdownId(),role:"dialog"}:{};return u.disabled?null:H.createElement(D6,up(Ol({},u.portalProps),{withinPortal:u.withinPortal}),H.createElement(_I,up(Ol({mounted:u.opened},u.transitionProps),{transition:u.transitionProps.transition||"fade",duration:(t=u.transitionProps.duration)!=null?t:150,keepMounted:u.keepMounted,exitDuration:typeof 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K4=Object.getOwnPropertySymbols,OX=Object.prototype.hasOwnProperty,DX=Object.prototype.propertyIsEnumerable,RX=(e,t)=>{var n={};for(var r in e)OX.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&K4)for(var r of K4(e))t.indexOf(r)<0&&DX.call(e,r)&&(n[r]=e[r]);return n};const AX={position:"bottom",offset:8,positionDependencies:[],transitionProps:{transition:"fade",duration:150},middlewares:{flip:!0,shift:!0,inline:!1},arrowSize:7,arrowOffset:5,arrowRadius:0,arrowPosition:"side",closeOnClickOutside:!0,withinPortal:!1,closeOnEscape:!0,trapFocus:!1,withRoles:!0,returnFocus:!1,clickOutsideEvents:["mousedown","touchstart"],zIndex:Vb("popover"),__staticSelector:"Popover",width:"max-content"};function Bc(e){var t,n,r,o,s,i;const l=d.useRef(null),u=Sn("Popover",AX,e),{children:p,position:h,offset:m,onPositionChange:v,positionDependencies:x,opened:y,transitionProps:b,width:w,middlewares:k,withArrow:_,arrowSize:j,arrowOffset:I,arrowRadius:M,arrowPosition:E,unstyled:O,classNames:D,styles:A,closeOnClickOutside:R,withinPortal:T,portalProps:X,closeOnEscape:B,clickOutsideEvents:U,trapFocus:Y,onClose:V,onOpen:L,onChange:q,zIndex:z,radius:K,shadow:re,id:Q,defaultOpened:le,__staticSelector:se,withRoles:W,disabled:G,returnFocus:te,variant:ae,keepMounted:oe}=u,pe=RX(u,["children","position","offset","onPositionChange","positionDependencies","opened","transitionProps","width","middlewares","withArrow","arrowSize","arrowOffset","arrowRadius","arrowPosition","unstyled","classNames","styles","closeOnClickOutside","withinPortal","portalProps","closeOnEscape","clickOutsideEvents","trapFocus","onClose","onOpen","onChange","zIndex","radius","shadow","id","defaultOpened","__staticSelector","withRoles","disabled","returnFocus","variant","keepMounted"]),[fe,ge]=d.useState(null),[Ce,me]=d.useState(null),de=Ub(Q),De=ca(),je=Qq({middlewares:k,width:w,position:MX(De.dir,h),offset:typeof 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0:i.y,opened:je.opened,arrowRef:l,transitionProps:b,width:w,withArrow:_,arrowSize:j,arrowOffset:I,arrowRadius:M,arrowPosition:E,placement:je.floating.placement,trapFocus:Y,withinPortal:T,portalProps:X,zIndex:z,radius:K,shadow:re,closeOnEscape:B,onClose:je.onClose,onToggle:je.onToggle,getTargetId:()=>`${de}-target`,getDropdownId:()=>`${de}-dropdown`,withRoles:W,targetProps:pe,__staticSelector:se,classNames:D,styles:A,unstyled:O,variant:ae,keepMounted:oe}},p)}Bc.Target=kI;Bc.Dropdown=DI;Bc.displayName="@mantine/core/Popover";var NX=Object.defineProperty,Dh=Object.getOwnPropertySymbols,RI=Object.prototype.hasOwnProperty,AI=Object.prototype.propertyIsEnumerable,q4=(e,t,n)=>t in e?NX(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n,TX=(e,t)=>{for(var n in t||(t={}))RI.call(t,n)&&q4(e,n,t[n]);if(Dh)for(var n of Dh(t))AI.call(t,n)&&q4(e,n,t[n]);return e},$X=(e,t)=>{var n={};for(var r in e)RI.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&Dh)for(var r of 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Ba({opened:e,transitionProps:t={transition:"fade",duration:0},shadow:n,withinPortal:r,portalProps:o,children:s,__staticSelector:i,onDirectionChange:l,switchDirectionOnFlip:u,zIndex:p,dropdownPosition:h,positionDependencies:m=[],classNames:v,styles:x,unstyled:y,readOnly:b,variant:w}){return H.createElement(Bc,{unstyled:y,classNames:v,styles:x,width:"target",withRoles:!1,opened:e,middlewares:{flip:h==="flip",shift:!1},position:h==="flip"?"bottom":h,positionDependencies:m,zIndex:p,__staticSelector:i,withinPortal:r,portalProps:o,transitionProps:t,shadow:n,disabled:b,onPositionChange:k=>u&&(l==null?void 0:l(k==="top"?"column-reverse":"column")),variant:w},s)}Ba.Target=Bc.Target;Ba.Dropdown=LX;var zX=Object.defineProperty,FX=Object.defineProperties,BX=Object.getOwnPropertyDescriptors,Rh=Object.getOwnPropertySymbols,NI=Object.prototype.hasOwnProperty,TI=Object.prototype.propertyIsEnumerable,X4=(e,t,n)=>t in e?zX(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n,dp=(e,t)=>{for(var n in t||(t={}))NI.call(t,n)&&X4(e,n,t[n]);if(Rh)for(var n of Rh(t))TI.call(t,n)&&X4(e,n,t[n]);return e},HX=(e,t)=>FX(e,BX(t)),VX=(e,t)=>{var n={};for(var r in e)NI.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&Rh)for(var r of Rh(e))t.indexOf(r)<0&&TI.call(e,r)&&(n[r]=e[r]);return n};function $I(e,t,n){const r=Sn(e,t,n),{label:o,description:s,error:i,required:l,classNames:u,styles:p,className:h,unstyled:m,__staticSelector:v,sx:x,errorProps:y,labelProps:b,descriptionProps:w,wrapperProps:k,id:_,size:j,style:I,inputContainer:M,inputWrapperOrder:E,withAsterisk:O,variant:D}=r,A=VX(r,["label","description","error","required","classNames","styles","className","unstyled","__staticSelector","sx","errorProps","labelProps","descriptionProps","wrapperProps","id","size","style","inputContainer","inputWrapperOrder","withAsterisk","variant"]),R=Ub(_),{systemStyles:T,rest:X}=Gm(A),B=dp({label:o,description:s,error:i,required:l,classNames:u,className:h,__staticSelector:v,sx:x,errorProps:y,labelProps:b,descriptionProps:w,unstyled:m,styles:p,id:R,size:j,style:I,inputContainer:M,inputWrapperOrder:E,withAsterisk:O,variant:D},k);return 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Es(S)?(f.flags|=128,f.child=c.child,f=n7.bind(null,c),il(S,f),null):(c=P.treeContext,Ce&&(qr=Nt(S),Ar=f,Zt=!0,So=null,tu=!1,c!==null&&(Gr[Kr++]=Ds,Gr[Kr++]=Rs,Gr[Kr++]=ii,Ds=c.id,Rs=c.overflow,ii=f)),f=b0(f,C.children),f.flags|=4096,f)}function rC(c,f,g){c.lanes|=f;var C=c.alternate;C!==null&&(C.lanes|=f),Yg(c.return,f,g)}function y0(c,f,g,C,S){var P=c.memoizedState;P===null?c.memoizedState={isBackwards:f,rendering:null,renderingStartTime:0,last:C,tail:g,tailMode:S}:(P.isBackwards=f,P.rendering=null,P.renderingStartTime=0,P.last=C,P.tail=g,P.tailMode=S)}function oC(c,f,g){var C=f.pendingProps,S=C.revealOrder,P=C.tail;if(cr(c,f,C.children,g),C=sn.current,C&2)C=C&1|2,f.flags|=128;else{if(c!==null&&c.flags&128)e:for(c=f.child;c!==null;){if(c.tag===13)c.memoizedState!==null&&rC(c,g,f);else if(c.tag===19)rC(c,g,f);else if(c.child!==null){c.child.return=c,c=c.child;continue}if(c===f)break e;for(;c.sibling===null;){if(c.return===null||c.return===f)break 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f.child}function W8(c,f,g){switch(f.tag){case 3:eC(f),pl();break;case 5:C2(f);break;case 1:gr(f.type)&&Qd(f);break;case 4:t0(f,f.stateNode.containerInfo);break;case 10:c2(f,f.type._context,f.memoizedProps.value);break;case 13:var C=f.memoizedState;if(C!==null)return C.dehydrated!==null?(kt(sn,sn.current&1),f.flags|=128,null):g&f.child.childLanes?nC(c,f,g):(kt(sn,sn.current&1),c=Ns(c,f,g),c!==null?c.sibling:null);kt(sn,sn.current&1);break;case 19:if(C=(g&f.childLanes)!==0,c.flags&128){if(C)return oC(c,f,g);f.flags|=128}var S=f.memoizedState;if(S!==null&&(S.rendering=null,S.tail=null,S.lastEffect=null),kt(sn,sn.current),C)break;return null;case 22:case 23:return f.lanes=0,Q2(c,f,g)}return Ns(c,f,g)}function ts(c){c.flags|=4}function sC(c,f){if(c!==null&&c.child===f.child)return!0;if(f.flags&16)return!1;for(c=f.child;c!==null;){if(c.flags&12854||c.subtreeFlags&12854)return!1;c=c.sibling}return!0}var cu,uu,wf,Sf;if(fe)cu=function(c,f){for(var g=f.child;g!==null;){if(g.tag===5||g.tag===6)Q(c,g.stateNode);else if(g.tag!==4&&g.child!==null){g.child.return=g,g=g.child;continue}if(g===f)break;for(;g.sibling===null;){if(g.return===null||g.return===f)return;g=g.return}g.sibling.return=g.return,g=g.sibling}},uu=function(){},wf=function(c,f,g,C,S){if(c=c.memoizedProps,c!==C){var P=f.stateNode,N=Jo(Yr.current);g=se(P,g,c,C,S,N),(f.updateQueue=g)&&ts(f)}},Sf=function(c,f,g,C){g!==C&&ts(f)};else if(ge){cu=function(c,f,g,C){for(var S=f.child;S!==null;){if(S.tag===5){var P=S.stateNode;g&&C&&(P=mr(P,S.type,S.memoizedProps,S)),Q(c,P)}else if(S.tag===6)P=S.stateNode,g&&C&&(P=yo(P,S.memoizedProps,S)),Q(c,P);else if(S.tag!==4){if(S.tag===22&&S.memoizedState!==null)P=S.child,P!==null&&(P.return=S),cu(c,S,!0,!0);else if(S.child!==null){S.child.return=S,S=S.child;continue}}if(S===f)break;for(;S.sibling===null;){if(S.return===null||S.return===f)return;S=S.return}S.sibling.return=S.return,S=S.sibling}};var aC=function(c,f,g,C){for(var S=f.child;S!==null;){if(S.tag===5){var P=S.stateNode;g&&C&&(P=mr(P,S.type,S.memoizedProps,S)),pn(c,P)}else if(S.tag===6)P=S.stateNode,g&&C&&(P=yo(P,S.memoizedProps,S)),pn(c,P);else if(S.tag!==4){if(S.tag===22&&S.memoizedState!==null)P=S.child,P!==null&&(P.return=S),aC(c,S,!0,!0);else if(S.child!==null){S.child.return=S,S=S.child;continue}}if(S===f)break;for(;S.sibling===null;){if(S.return===null||S.return===f)return;S=S.return}S.sibling.return=S.return,S=S.sibling}};uu=function(c,f){var g=f.stateNode;if(!sC(c,f)){c=g.containerInfo;var C=In(c);aC(C,f,!1,!1),g.pendingChildren=C,ts(f),on(c,C)}},wf=function(c,f,g,C,S){var P=c.stateNode,N=c.memoizedProps;if((c=sC(c,f))&&N===C)f.stateNode=P;else{var Z=f.stateNode,ue=Jo(Yr.current),Ee=null;N!==C&&(Ee=se(Z,g,N,C,S,ue)),c&&Ee===null?f.stateNode=P:(P=sr(P,Ee,g,N,C,f,c,Z),le(P,g,C,S,ue)&&ts(f),f.stateNode=P,c?ts(f):cu(P,f,!1,!1))}},Sf=function(c,f,g,C){g!==C?(c=Jo(vl.current),g=Jo(Yr.current),f.stateNode=G(C,c,g,f),ts(f)):f.stateNode=c.stateNode}}else uu=function(){},wf=function(){},Sf=function(){};function du(c,f){if(!Zt)switch(c.tailMode){case"hidden":f=c.tail;for(var g=null;f!==null;)f.alternate!==null&&(g=f),f=f.sibling;g===null?c.tail=null:g.sibling=null;break;case"collapsed":g=c.tail;for(var C=null;g!==null;)g.alternate!==null&&(C=g),g=g.sibling;C===null?f||c.tail===null?c.tail=null:c.tail.sibling=null:C.sibling=null}}function Xn(c){var f=c.alternate!==null&&c.alternate.child===c.child,g=0,C=0;if(f)for(var S=c.child;S!==null;)g|=S.lanes|S.childLanes,C|=S.subtreeFlags&14680064,C|=S.flags&14680064,S.return=c,S=S.sibling;else for(S=c.child;S!==null;)g|=S.lanes|S.childLanes,C|=S.subtreeFlags,C|=S.flags,S.return=c,S=S.sibling;return c.subtreeFlags|=C,c.childLanes=g,f}function U8(c,f,g){var C=f.pendingProps;switch(Vg(f),f.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return Xn(f),null;case 1:return gr(f.type)&&Yd(),Xn(f),null;case 3:return g=f.stateNode,xl(),bt(kn),bt(Wt),o0(),g.pendingContext&&(g.context=g.pendingContext,g.pendingContext=null),(c===null||c.child===null)&&(sf(f)?ts(f):c===null||c.memoizedState.isDehydrated&&!(f.flags&256)||(f.flags|=1024,So!==null&&($0(So),So=null))),uu(c,f),Xn(f),null;case 5:n0(f),g=Jo(vl.current);var S=f.type;if(c!==null&&f.stateNode!=null)wf(c,f,S,C,g),c.ref!==f.ref&&(f.flags|=512,f.flags|=2097152);else{if(!C){if(f.stateNode===null)throw Error(i(166));return Xn(f),null}if(c=Jo(Yr.current),sf(f)){if(!Ce)throw Error(i(175));c=En(f.stateNode,f.type,f.memoizedProps,g,c,f,!tu),f.updateQueue=c,c!==null&&ts(f)}else{var P=re(S,C,g,c,f);cu(P,f,!1,!1),f.stateNode=P,le(P,S,C,g,c)&&ts(f)}f.ref!==null&&(f.flags|=512,f.flags|=2097152)}return Xn(f),null;case 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f.flags&128?(f.lanes=g,f):(g=C!==null,g!==(c!==null&&c.memoizedState!==null)&&g&&(f.child.flags|=8192,f.mode&1&&(c===null||sn.current&1?Dn===0&&(Dn=3):z0())),f.updateQueue!==null&&(f.flags|=4),Xn(f),null);case 4:return xl(),uu(c,f),c===null&&de(f.stateNode.containerInfo),Xn(f),null;case 10:return Xg(f.type._context),Xn(f),null;case 17:return gr(f.type)&&Yd(),Xn(f),null;case 19:if(bt(sn),S=f.memoizedState,S===null)return Xn(f),null;if(C=(f.flags&128)!==0,P=S.rendering,P===null)if(C)du(S,!1);else{if(Dn!==0||c!==null&&c.flags&128)for(c=f.child;c!==null;){if(P=hf(c),P!==null){for(f.flags|=128,du(S,!1),c=P.updateQueue,c!==null&&(f.updateQueue=c,f.flags|=4),f.subtreeFlags=0,c=g,g=f.child;g!==null;)C=g,S=c,C.flags&=14680066,P=C.alternate,P===null?(C.childLanes=0,C.lanes=S,C.child=null,C.subtreeFlags=0,C.memoizedProps=null,C.memoizedState=null,C.updateQueue=null,C.dependencies=null,C.stateNode=null):(C.childLanes=P.childLanes,C.lanes=P.lanes,C.child=P.child,C.subtreeFlags=0,C.deletions=null,C.memoizedProps=P.memoizedProps,C.memoizedState=P.memoizedState,C.updateQueue=P.updateQueue,C.type=P.type,S=P.dependencies,C.dependencies=S===null?null:{lanes:S.lanes,firstContext:S.firstContext}),g=g.sibling;return kt(sn,sn.current&1|2),f.child}c=c.sibling}S.tail!==null&&Ln()>R0&&(f.flags|=128,C=!0,du(S,!1),f.lanes=4194304)}else{if(!C)if(c=hf(P),c!==null){if(f.flags|=128,C=!0,c=c.updateQueue,c!==null&&(f.updateQueue=c,f.flags|=4),du(S,!0),S.tail===null&&S.tailMode==="hidden"&&!P.alternate&&!Zt)return Xn(f),null}else 2*Ln()-S.renderingStartTime>R0&&g!==1073741824&&(f.flags|=128,C=!0,du(S,!1),f.lanes=4194304);S.isBackwards?(P.sibling=f.child,f.child=P):(c=S.last,c!==null?c.sibling=P:f.child=P,S.last=P)}return S.tail!==null?(f=S.tail,S.rendering=f,S.tail=f.sibling,S.renderingStartTime=Ln(),f.sibling=null,c=sn.current,kt(sn,C?c&1|2:c&1),f):(Xn(f),null);case 22:case 23:return L0(),g=f.memoizedState!==null,c!==null&&c.memoizedState!==null!==g&&(f.flags|=8192),g&&f.mode&1?Nr&1073741824&&(Xn(f),fe&&f.subtreeFlags&6&&(f.flags|=8192)):Xn(f),null;case 24:return null;case 25:return null}throw Error(i(156,f.tag))}function G8(c,f){switch(Vg(f),f.tag){case 1:return 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diff --git a/invokeai/frontend/web/dist/assets/App-dbf8f111.js b/invokeai/frontend/web/dist/assets/App-dbf8f111.js
new file mode 100644
index 0000000000..c3d486e7b6
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/App-dbf8f111.js
@@ -0,0 +1,169 @@
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r=Sn(e,t,n),{label:o,description:s,error:i,required:l,classNames:u,styles:p,className:h,unstyled:m,__staticSelector:v,sx:b,errorProps:y,labelProps:x,descriptionProps:w,wrapperProps:k,id:_,size:j,style:I,inputContainer:E,inputWrapperOrder:M,withAsterisk:D,variant:R}=r,A=eY(r,["label","description","error","required","classNames","styles","className","unstyled","__staticSelector","sx","errorProps","labelProps","descriptionProps","wrapperProps","id","size","style","inputContainer","inputWrapperOrder","withAsterisk","variant"]),O=qx(_),{systemStyles:T,rest:K}=Xm(A),F=mp({label:o,description:s,error:i,required:l,classNames:u,className:h,__staticSelector:v,sx:b,errorProps:y,labelProps:x,descriptionProps:w,unstyled:m,styles:p,id:O,size:j,style:I,inputContainer:E,inputWrapperOrder:M,withAsterisk:D,variant:R},k);return 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vde=Pe((e,t)=>{const{t:n}=Z(),{acceptButtonText:r=n("common.accept"),acceptCallback:o,cancelButtonText:s=n("common.cancel"),cancelCallback:i,children:l,title:u,triggerComponent:p}=e,{isOpen:h,onOpen:m,onClose:v}=Mr(),b=d.useRef(null),y=()=>{o(),v()},x=()=>{i&&i(),v()};return a.jsxs(a.Fragment,{children:[d.cloneElement(p,{onClick:m,ref:t}),a.jsx($d,{isOpen:h,leastDestructiveRef:b,onClose:v,isCentered:!0,children:a.jsx(Wo,{children:a.jsxs(Ld,{children:[a.jsx(Ho,{fontSize:"lg",fontWeight:"bold",children:u}),a.jsx(Vo,{children:l}),a.jsxs(gs,{children:[a.jsx(it,{ref:b,onClick:x,children:s}),a.jsx(it,{colorScheme:"error",onClick:y,ml:3,children:r})]})]})})})]})}),Gy=d.memo(vde);function bde(e){const{model:t}=e,n=ee(),{t:r}=Z(),[o,{isLoading:s}]=CA(),[i,l]=d.useState("InvokeAIRoot"),[u,p]=d.useState("");d.useEffect(()=>{l("InvokeAIRoot")},[t]);const h=()=>{l("InvokeAIRoot")},m=()=>{const v={base_model:t.base_model,model_name:t.model_name,convert_dest_directory:i==="Custom"?u:void 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a.jsxs($,{flexDirection:"column",rowGap:4,width:"100%",children:[a.jsxs($,{flexDirection:"column",children:[a.jsx(ye,{fontSize:"lg",fontWeight:"bold",children:n.model_name}),a.jsxs(ye,{fontSize:"sm",color:"base.400",children:[on[n.base_model]," Model"]})]}),a.jsx(Vr,{}),a.jsx("form",{onSubmit:l.onSubmit(p=>u(p)),children:a.jsxs($,{flexDirection:"column",overflowY:"scroll",gap:4,children:[a.jsx(gn,{label:i("modelManager.name"),...l.getInputProps("model_name")}),a.jsx(gn,{label:i("modelManager.description"),...l.getInputProps("description")}),a.jsx(Qd,{required:!0,...l.getInputProps("base_model")}),a.jsx(Og,{required:!0,...l.getInputProps("variant")}),a.jsx(gn,{required:!0,label:i("modelManager.modelLocation"),...l.getInputProps("path")}),a.jsx(gn,{label:i("modelManager.vaeLocation"),...l.getInputProps("vae")}),a.jsx(it,{type:"submit",isDisabled:t||o,isLoading:o,children:i("modelManager.updateModel")})]})})]})}function Cde(e){const t=L(En),{model:n}=e,[r,{isLoading:o}]=wA(),s=ee(),{t:i}=Z(),l=il({initialValues:{model_name:n.model_name?n.model_name:"",base_model:n.base_model,model_type:"lora",path:n.path?n.path:"",description:n.description?n.description:"",model_format:n.model_format},validate:{path:p=>p.trim().length===0?"Must provide a path":null}}),u=d.useCallback(p=>{const h={base_model:n.base_model,model_name:n.model_name,body:p};r(h).unwrap().then(m=>{l.setValues(m),s(Tt(Ft({title:i("modelManager.modelUpdated"),status:"success"})))}).catch(m=>{l.reset(),s(Tt(Ft({title:i("modelManager.modelUpdateFailed"),status:"error"})))})},[s,l,n.base_model,n.model_name,i,r]);return a.jsxs($,{flexDirection:"column",rowGap:4,width:"100%",children:[a.jsxs($,{flexDirection:"column",children:[a.jsx(ye,{fontSize:"lg",fontWeight:"bold",children:n.model_name}),a.jsxs(ye,{fontSize:"sm",color:"base.400",children:[on[n.base_model]," Model ⋅"," ",SA[n.model_format]," 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a.jsxs($,{sx:{gap:2,alignItems:"center",w:"full"},children:[a.jsx($,{as:it,isChecked:l,sx:{justifyContent:"start",p:2,borderRadius:"base",w:"full",alignItems:"center",bg:l?"accent.400":"base.100",color:l?"base.50":"base.800",_hover:{bg:l?"accent.500":"base.300",color:l?"base.50":"base.800"},_dark:{color:l?"base.50":"base.100",bg:l?"accent.600":"base.850",_hover:{color:l?"base.50":"base.100",bg:l?"accent.550":"base.700"}}},onClick:p,children:a.jsxs($,{gap:4,alignItems:"center",children:[a.jsx(da,{minWidth:14,p:.5,fontSize:"sm",variant:"solid",children:jA[i.base_model]}),a.jsx(Rt,{label:i.description,hasArrow:!0,placement:"bottom",children:a.jsx(ye,{sx:{fontWeight:500},children:i.model_name})})]})}),a.jsx(Gy,{title:n("modelManager.deleteModel"),acceptCallback:h,acceptButtonText:n("modelManager.delete"),triggerComponent:a.jsx(Te,{icon:a.jsx(nte,{}),"aria-label":n("modelManager.deleteConfig"),isDisabled:t,colorScheme:"error"}),children:a.jsxs($,{rowGap:4,flexDirection:"column",children:[a.jsx("p",{style:{fontWeight:"bold"},children:n("modelManager.deleteMsg1")}),a.jsx("p",{children:n("modelManager.deleteMsg2")})]})})]})}const Sde=e=>{const{selectedModelId:t,setSelectedModelId:n}=e,{t:r}=Z(),[o,s]=d.useState(""),[i,l]=d.useState("all"),{filteredDiffusersModels:u,isLoadingDiffusersModels:p}=Bo(Ci,{selectFromResult:({data:j,isLoading:I})=>({filteredDiffusersModels:Pu(j,"main","diffusers",o),isLoadingDiffusersModels:I})}),{filteredCheckpointModels:h,isLoadingCheckpointModels:m}=Bo(Ci,{selectFromResult:({data:j,isLoading:I})=>({filteredCheckpointModels:Pu(j,"main","checkpoint",o),isLoadingCheckpointModels:I})}),{filteredLoraModels:v,isLoadingLoraModels:b}=Cd(void 0,{selectFromResult:({data:j,isLoading:I})=>({filteredLoraModels:Pu(j,"lora",void 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a.jsx($,{flexDirection:"column",rowGap:4,width:"50%",minWidth:"50%",children:a.jsxs($,{flexDirection:"column",gap:4,paddingInlineEnd:4,children:[a.jsxs(mn,{isAttached:!0,children:[a.jsx(it,{onClick:()=>l("all"),isChecked:i==="all",size:"sm",children:r("modelManager.allModels")}),a.jsx(it,{size:"sm",onClick:()=>l("diffusers"),isChecked:i==="diffusers",children:r("modelManager.diffusersModels")}),a.jsx(it,{size:"sm",onClick:()=>l("checkpoint"),isChecked:i==="checkpoint",children:r("modelManager.checkpointModels")}),a.jsx(it,{size:"sm",onClick:()=>l("onnx"),isChecked:i==="onnx",children:r("modelManager.onnxModels")}),a.jsx(it,{size:"sm",onClick:()=>l("olive"),isChecked:i==="olive",children:r("modelManager.oliveModels")}),a.jsx(it,{size:"sm",onClick:()=>l("lora"),isChecked:i==="lora",children:r("modelManager.loraModels")})]}),a.jsx(uo,{onChange:_,label:r("modelManager.search"),labelPos:"side"}),a.jsxs($,{flexDirection:"column",gap:4,maxHeight:window.innerHeight-280,overflow:"scroll",children:[p&&a.jsx(Vl,{loadingMessage:"Loading 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+ * @license React
+ * react-reconciler-constants.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */ll.ConcurrentRoot=1;ll.ContinuousEventPriority=4;ll.DefaultEventPriority=16;ll.DiscreteEventPriority=1;ll.IdleEventPriority=536870912;ll.LegacyRoot=0;h8.exports=ll;var m8=h8.exports;const mj={children:!0,ref:!0,key:!0,style:!0,forwardedRef:!0,unstable_applyCache:!0,unstable_applyDrawHitFromCache:!0};let gj=!1,vj=!1;const Qy=".react-konva-event",Ihe=`ReactKonva: You have a Konva node with draggable = true and position defined but no onDragMove or onDragEnd events are handled.
+Position of a node will be changed during drag&drop, so you should update state of the react app as well.
+Consider to add onDragMove or onDragEnd events.
+For more info see: https://github.com/konvajs/react-konva/issues/256
+`,Ehe=`ReactKonva: You are using "zIndex" attribute for a Konva node.
+react-konva may get confused with ordering. Just define correct order of elements in your render function of a component.
+For more info see: https://github.com/konvajs/react-konva/issues/194
+`,Mhe={};function Rg(e,t,n=Mhe){if(!gj&&"zIndex"in t&&(console.warn(Ehe),gj=!0),!vj&&t.draggable){var r=t.x!==void 0||t.y!==void 0,o=t.onDragEnd||t.onDragMove;r&&!o&&(console.warn(Ihe),vj=!0)}for(var s in n)if(!mj[s]){var i=s.slice(0,2)==="on",l=n[s]!==t[s];if(i&&l){var u=s.substr(2).toLowerCase();u.substr(0,7)==="content"&&(u="content"+u.substr(7,1).toUpperCase()+u.substr(8)),e.off(u,n[s])}var p=!t.hasOwnProperty(s);p&&e.setAttr(s,void 0)}var h=t._useStrictMode,m={},v=!1;const b={};for(var s in t)if(!mj[s]){var i=s.slice(0,2)==="on",y=n[s]!==t[s];if(i&&y){var u=s.substr(2).toLowerCase();u.substr(0,7)==="content"&&(u="content"+u.substr(7,1).toUpperCase()+u.substr(8)),t[s]&&(b[u]=t[s])}!i&&(t[s]!==n[s]||h&&t[s]!==e.getAttr(s))&&(v=!0,m[s]=t[s])}v&&(e.setAttrs(m),si(e));for(var u in b)e.on(u+Qy,b[u])}function si(e){if(!b9.Konva.autoDrawEnabled){var t=e.getLayer()||e.getStage();t&&t.batchDraw()}}const g8={},Ohe={};pd.Node.prototype._applyProps=Rg;function Dhe(e,t){if(typeof t=="string"){console.error(`Do not use plain text as child of Konva.Node. 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diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-ee6f7a9a.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a3380d0c.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/ThemeLocaleProvider-ee6f7a9a.js
rename to invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a3380d0c.js
index 3c729ddbc4..05d04a6ad3 100644
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-ee6f7a9a.js
+++ b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a3380d0c.js
@@ -1,4 +1,4 @@
-import{v as m,ha as Je,u as y,Y as Xa,hb as Ja,a7 as ua,ab as d,hc as b,hd as o,he as Qa,hf as h,hg as fa,hh as Za,hi as eo,aE as ro,hj as ao,a4 as oo,hk as to}from"./index-cd3a0781.js";import{s as ha,n as t,t as io,o as ma,p as no,q as ga,v as ya,w as pa,x as lo,y as Sa,z as xa,A as xr,B as so,D as co,E as bo,F as $a,G as ka,H as _a,J as vo,K as wa,L as uo,M as fo,N as ho,O as mo,Q as za,R as go,S as yo,T as po,U as So,V as xo,W as $o,e as ko,X as _o}from"./menu-5f867375.js";var Ca=String.raw,Aa=Ca`
+import{v as m,hj as Je,u as y,Y as Xa,hk as Ja,a7 as ua,ab as d,hl as b,hm as o,hn as Qa,ho as h,hp as fa,hq as Za,hr as eo,aE as ro,hs as ao,a4 as oo,ht as to}from"./index-f6c3f475.js";import{s as ha,n as t,t as io,o as ma,p as no,q as ga,v as ya,w as pa,x as lo,y as Sa,z as xa,A as xr,B as so,D as co,E as bo,F as $a,G as ka,H as _a,J as vo,K as wa,L as uo,M as fo,N as ho,O as mo,Q as za,R as go,S as yo,T as po,U as So,V as xo,W as $o,e as ko,X as _o}from"./menu-c9cc8c3d.js";var Ca=String.raw,Aa=Ca`
   :root,
   :host {
     --chakra-vh: 100vh;
diff --git a/invokeai/frontend/web/dist/assets/index-cd3a0781.js b/invokeai/frontend/web/dist/assets/index-cd3a0781.js
deleted file mode 100644
index 2d3d94701d..0000000000
--- a/invokeai/frontend/web/dist/assets/index-cd3a0781.js
+++ /dev/null
@@ -1,128 +0,0 @@
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- * @license React
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o=n.lanes|n.childLanes;if(EG(e,o),e===ni&&(kr=ni=null,bi=0),!(n.subtreeFlags&2064)&&!(n.flags&2064)||py||(py=!0,UM(nv,function(){return tf(),null})),o=(n.flags&15990)!==0,n.subtreeFlags&15990||o){o=Zo.transition,Zo.transition=null;var s=an;an=1;var a=Ft;Ft|=4,M5.current=null,BH(e,n),IM(n,e),dH(Ex),iv=!!Cx,Ex=Cx=null,e.current=n,zH(n),mG(),Ft=a,an=s,Zo.transition=o}else e.current=n;if(py&&(py=!1,Bl=e,bv=i),o=e.pendingLanes,o===0&&(Ql=null),_G(n.stateNode),ho(e,yr()),t!==null)for(r=e.onRecoverableError,n=0;n<t.length;n++)i=t[n],r(i.value,{componentStack:i.stack,digest:i.digest});if(_v)throw _v=!1,e=Hx,Hx=null,e;return bv&1&&e.tag!==0&&tf(),o=e.pendingLanes,o&1?e===qx?mp++:(mp=0,qx=e):mp=0,Eu(),null}function tf(){if(Bl!==null){var e=y9(bv),t=Zo.transition,n=an;try{if(Zo.transition=null,an=16>e?16:e,Bl===null)var r=!1;else{if(e=Bl,Bl=null,bv=0,Ft&6)throw Error(oe(331));var i=Ft;for(Ft|=4,Ie=e.current;Ie!==null;){var o=Ie,s=o.child;if(Ie.flags&16){var a=o.deletions;if(a!==null){for(var 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n=0;switch(e.tag){case 13:var r=e.stateNode,i=e.memoizedState;i!==null&&(n=i.retryLane);break;case 19:r=e.stateNode;break;default:throw Error(oe(314))}r!==null&&r.delete(t),BM(e,n)}var zM;zM=function(e,t,n){if(e!==null)if(e.memoizedProps!==t.pendingProps||co.current)so=!0;else{if(!(e.lanes&n)&&!(t.flags&128))return so=!1,DH(e,t,n);so=!!(e.flags&131072)}else so=!1,Wn&&t.flags&1048576&&V9(t,dv,t.index);switch(t.lanes=0,t.tag){case 2:var r=t.type;w0(e,t),e=t.pendingProps;var i=wf(t,Fi.current);ef(t,n),i=k5(null,t,r,e,i,n);var o=P5();return t.flags|=1,typeof i=="object"&&i!==null&&typeof i.render=="function"&&i.$$typeof===void 0?(t.tag=1,t.memoizedState=null,t.updateQueue=null,fo(r)?(o=!0,uv(t)):o=!1,t.memoizedState=i.state!==null&&i.state!==void 0?i.state:null,x5(t),i.updater=i_,t.stateNode=i,i._reactInternals=t,Nx(t,r,e,n),t=$x(null,t,r,!0,o,n)):(t.tag=0,Wn&&o&&m5(t),Hi(null,t,i,n),t=t.child),t;case 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r=[];for(const i of n){if(i.status==="aborted")return ct;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return zi.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return ct;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const ct=Object.freeze({status:"aborted"}),oD=e=>({status:"dirty",value:e}),Xi=e=>({status:"valid",value:e}),hC=e=>e.status==="aborted",pC=e=>e.status==="dirty",ag=e=>e.status==="valid",Lv=e=>typeof Promise<"u"&&e instanceof Promise;var Ze;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Ze||(Ze={}));class ga{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const Gk=(e,t)=>{if(ag(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Rs(e.common.issues);return this._error=n,this._error}}};function yt(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class St{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return Dl(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:Dl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new zi,ctx:{common:t.parent.common,data:t.data,parsedType:Dl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(Lv(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Dl(t)},o=this._parseSync({data:t,path:i.path,parent:i});return Gk(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Dl(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(Lv(i)?i:Promise.resolve(i));return Gk(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:ce.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new Ds({schema:this,typeName:nt.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Ka.create(this,this._def)}nullable(){return kc.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Os.create(this,this._def)}promise(){return Nf.create(this,this._def)}or(t){return dg.create([this,t],this._def)}and(t){return fg.create(this,t,this._def)}transform(t){return new Ds({...yt(this._def),schema:this,typeName:nt.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new yg({...yt(this._def),innerType:this,defaultValue:n,typeName:nt.ZodDefault})}brand(){return new aD({typeName:nt.ZodBranded,type:this,...yt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new zv({...yt(this._def),innerType:this,catchValue:n,typeName:nt.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return wm.create(this,t)}readonly(){return jv.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const pte=/^c[^\s-]{8,}$/i,gte=/^[a-z][a-z0-9]*$/,mte=/[0-9A-HJKMNP-TV-Z]{26}/,yte=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,vte=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,_te=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,bte=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,Ste=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,wte=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function xte(e,t){return!!((t==="v4"||!t)&&bte.test(e)||(t==="v6"||!t)&&Ste.test(e))}class Ts extends St{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:ce.invalid_string,...Ze.errToObj(r)}),this.nonempty=t=>this.min(1,Ze.errToObj(t)),this.trim=()=>new Ts({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Ts({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ts({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==ke.string){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.string,received:o.parsedType}),ct}const r=new zi;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Pe(i,{code:ce.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Pe(i,{code:ce.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")vte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"email",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")_te.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"emoji",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")yte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"uuid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")pte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"cuid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")gte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"cuid2",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")mte.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"ulid",code:ce.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Pe(i,{validation:"url",code:ce.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"regex",code:ce.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?wte(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?xte(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Pe(i,{validation:"ip",code:ce.invalid_string,message:o.message}),r.dirty()):jt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Ts({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Ze.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Ze.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Ze.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Ze.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Ze.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Ze.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Ze.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Ze.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Ze.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Ze.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Ze.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Ze.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Ze.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Ze.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Ze.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Ze.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ts.create=e=>{var t;return new Ts({checks:[],typeName:nt.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...yt(e)})};function Cte(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class hu extends St{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==ke.number){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.number,received:o.parsedType}),ct}let r;const i=new zi;for(const o of this._def.checks)o.kind==="int"?jt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?Cte(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_finite,message:o.message}),i.dirty()):jt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new hu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new hu({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Ze.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Ze.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Ze.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Ze.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&jt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}hu.create=e=>new hu({checks:[],typeName:nt.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...yt(e)});class pu extends St{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==ke.bigint){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.bigint,received:o.parsedType}),ct}let r;const i=new zi;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):jt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new pu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new pu({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}pu.create=e=>{var t;return new pu({checks:[],typeName:nt.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...yt(e)})};class lg extends St{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==ke.boolean){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.boolean,received:r.parsedType}),ct}return Xi(t.data)}}lg.create=e=>new lg({typeName:nt.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...yt(e)});class Tc extends St{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==ke.date){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.date,received:o.parsedType}),ct}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_date}),ct}const r=new zi;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):jt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new Tc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Ze.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Ze.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}Tc.create=e=>new Tc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:nt.ZodDate,...yt(e)});class $v extends St{_parse(t){if(this._getType(t)!==ke.symbol){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.symbol,received:r.parsedType}),ct}return Xi(t.data)}}$v.create=e=>new $v({typeName:nt.ZodSymbol,...yt(e)});class ug extends St{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.undefined,received:r.parsedType}),ct}return Xi(t.data)}}ug.create=e=>new ug({typeName:nt.ZodUndefined,...yt(e)});class cg extends St{_parse(t){if(this._getType(t)!==ke.null){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.null,received:r.parsedType}),ct}return Xi(t.data)}}cg.create=e=>new cg({typeName:nt.ZodNull,...yt(e)});class Mf extends St{constructor(){super(...arguments),this._any=!0}_parse(t){return Xi(t.data)}}Mf.create=e=>new Mf({typeName:nt.ZodAny,...yt(e)});class mc extends St{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Xi(t.data)}}mc.create=e=>new mc({typeName:nt.ZodUnknown,...yt(e)});class ol extends St{_parse(t){const n=this._getOrReturnCtx(t);return Pe(n,{code:ce.invalid_type,expected:ke.never,received:n.parsedType}),ct}}ol.create=e=>new ol({typeName:nt.ZodNever,...yt(e)});class Fv extends St{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.void,received:r.parsedType}),ct}return Xi(t.data)}}Fv.create=e=>new Fv({typeName:nt.ZodVoid,...yt(e)});class Os extends St{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==ke.array)return Pe(n,{code:ce.invalid_type,expected:ke.array,received:n.parsedType}),ct;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Pe(n,{code:s?ce.too_big:ce.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Pe(n,{code:ce.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Pe(n,{code:ce.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new ga(n,s,n.path,a)))).then(s=>zi.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new ga(n,s,n.path,a)));return zi.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Os({...this._def,minLength:{value:t,message:Ze.toString(n)}})}max(t,n){return new Os({...this._def,maxLength:{value:t,message:Ze.toString(n)}})}length(t,n){return new Os({...this._def,exactLength:{value:t,message:Ze.toString(n)}})}nonempty(t){return this.min(1,t)}}Os.create=(e,t)=>new Os({type:e,minLength:null,maxLength:null,exactLength:null,typeName:nt.ZodArray,...yt(t)});function Td(e){if(e instanceof Jn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ka.create(Td(r))}return new Jn({...e._def,shape:()=>t})}else return e instanceof Os?new Os({...e._def,type:Td(e.element)}):e instanceof Ka?Ka.create(Td(e.unwrap())):e instanceof kc?kc.create(Td(e.unwrap())):e instanceof ma?ma.create(e.items.map(t=>Td(t))):e}class Jn extends St{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=jt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==ke.object){const u=this._getOrReturnCtx(t);return Pe(u,{code:ce.invalid_type,expected:ke.object,received:u.parsedType}),ct}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof ol&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new ga(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof ol){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(Pe(i,{code:ce.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new ga(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>zi.mergeObjectSync(r,u)):zi.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Ze.errToObj,new Jn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Ze.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Jn({...this._def,unknownKeys:"strip"})}passthrough(){return new Jn({...this._def,unknownKeys:"passthrough"})}extend(t){return new Jn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Jn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:nt.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Jn({...this._def,catchall:t})}pick(t){const n={};return jt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Jn({...this._def,shape:()=>n})}omit(t){const n={};return jt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Jn({...this._def,shape:()=>n})}deepPartial(){return Td(this)}partial(t){const n={};return jt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Jn({...this._def,shape:()=>n})}required(t){const n={};return jt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ka;)o=o._def.innerType;n[r]=o}}),new Jn({...this._def,shape:()=>n})}keyof(){return sD(jt.objectKeys(this.shape))}}Jn.create=(e,t)=>new Jn({shape:()=>e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...yt(t)});Jn.strictCreate=(e,t)=>new Jn({shape:()=>e,unknownKeys:"strict",catchall:ol.create(),typeName:nt.ZodObject,...yt(t)});Jn.lazycreate=(e,t)=>new Jn({shape:e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...yt(t)});class dg extends St{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Rs(a.ctx.common.issues));return Pe(n,{code:ce.invalid_union,unionErrors:s}),ct}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Rs(l));return Pe(n,{code:ce.invalid_union,unionErrors:a}),ct}}get options(){return this._def.options}}dg.create=(e,t)=>new dg({options:e,typeName:nt.ZodUnion,...yt(t)});const P0=e=>e instanceof pg?P0(e.schema):e instanceof Ds?P0(e.innerType()):e instanceof gg?[e.value]:e instanceof gu?e.options:e instanceof mg?Object.keys(e.enum):e instanceof yg?P0(e._def.innerType):e instanceof ug?[void 0]:e instanceof cg?[null]:null;class I_ extends St{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.object)return Pe(n,{code:ce.invalid_type,expected:ke.object,received:n.parsedType}),ct;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Pe(n,{code:ce.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ct)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=P0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new I_({typeName:nt.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...yt(r)})}}function gC(e,t){const n=Dl(e),r=Dl(t);if(e===t)return{valid:!0,data:e};if(n===ke.object&&r===ke.object){const i=jt.objectKeys(t),o=jt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=gC(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===ke.array&&r===ke.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=gC(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===ke.date&&r===ke.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class fg extends St{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(hC(o)||hC(s))return ct;const a=gC(o.value,s.value);return a.valid?((pC(o)||pC(s))&&n.dirty(),{status:n.value,value:a.data}):(Pe(r,{code:ce.invalid_intersection_types}),ct)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}fg.create=(e,t,n)=>new fg({left:e,right:t,typeName:nt.ZodIntersection,...yt(n)});class ma extends St{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.array)return Pe(r,{code:ce.invalid_type,expected:ke.array,received:r.parsedType}),ct;if(r.data.length<this._def.items.length)return Pe(r,{code:ce.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),ct;!this._def.rest&&r.data.length>this._def.items.length&&(Pe(r,{code:ce.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new ga(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>zi.mergeArray(n,s)):zi.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new ma({...this._def,rest:t})}}ma.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new ma({items:e,typeName:nt.ZodTuple,rest:null,...yt(t)})};class hg extends St{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.object)return Pe(r,{code:ce.invalid_type,expected:ke.object,received:r.parsedType}),ct;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new ga(r,a,r.path,a)),value:s._parse(new ga(r,r.data[a],r.path,a))});return r.common.async?zi.mergeObjectAsync(n,i):zi.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof St?new hg({keyType:t,valueType:n,typeName:nt.ZodRecord,...yt(r)}):new hg({keyType:Ts.create(),valueType:t,typeName:nt.ZodRecord,...yt(n)})}}class Bv extends St{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.map)return Pe(r,{code:ce.invalid_type,expected:ke.map,received:r.parsedType}),ct;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new ga(r,a,r.path,[u,"key"])),value:o._parse(new ga(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}Bv.create=(e,t,n)=>new Bv({valueType:t,keyType:e,typeName:nt.ZodMap,...yt(n)});class Ac extends St{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.set)return Pe(r,{code:ce.invalid_type,expected:ke.set,received:r.parsedType}),ct;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Pe(r,{code:ce.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Pe(r,{code:ce.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return ct;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new ga(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new Ac({...this._def,minSize:{value:t,message:Ze.toString(n)}})}max(t,n){return new Ac({...this._def,maxSize:{value:t,message:Ze.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Ac.create=(e,t)=>new Ac({valueType:e,minSize:null,maxSize:null,typeName:nt.ZodSet,...yt(t)});class uf extends St{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.function)return Pe(n,{code:ce.invalid_type,expected:ke.function,received:n.parsedType}),ct;function r(a,l){return Dv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Nv(),sg].filter(u=>!!u),issueData:{code:ce.invalid_arguments,argumentsError:l}})}function i(a,l){return Dv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Nv(),sg].filter(u=>!!u),issueData:{code:ce.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof Nf){const a=this;return Xi(async function(...l){const u=new Rs([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return Xi(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new Rs([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new Rs([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new uf({...this._def,args:ma.create(t).rest(mc.create())})}returns(t){return new uf({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new uf({args:t||ma.create([]).rest(mc.create()),returns:n||mc.create(),typeName:nt.ZodFunction,...yt(r)})}}class pg extends St{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}pg.create=(e,t)=>new pg({getter:e,typeName:nt.ZodLazy,...yt(t)});class gg extends St{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Pe(n,{received:n.data,code:ce.invalid_literal,expected:this._def.value}),ct}return{status:"valid",value:t.data}}get value(){return this._def.value}}gg.create=(e,t)=>new gg({value:e,typeName:nt.ZodLiteral,...yt(t)});function sD(e,t){return new gu({values:e,typeName:nt.ZodEnum,...yt(t)})}class gu extends St{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{expected:jt.joinValues(r),received:n.parsedType,code:ce.invalid_type}),ct}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{received:n.data,code:ce.invalid_enum_value,options:r}),ct}return Xi(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return gu.create(t)}exclude(t){return gu.create(this.options.filter(n=>!t.includes(n)))}}gu.create=sD;class mg extends St{_parse(t){const n=jt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==ke.string&&r.parsedType!==ke.number){const i=jt.objectValues(n);return Pe(r,{expected:jt.joinValues(i),received:r.parsedType,code:ce.invalid_type}),ct}if(n.indexOf(t.data)===-1){const i=jt.objectValues(n);return Pe(r,{received:r.data,code:ce.invalid_enum_value,options:i}),ct}return Xi(t.data)}get enum(){return this._def.values}}mg.create=(e,t)=>new mg({values:e,typeName:nt.ZodNativeEnum,...yt(t)});class Nf extends St{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.promise&&n.common.async===!1)return Pe(n,{code:ce.invalid_type,expected:ke.promise,received:n.parsedType}),ct;const r=n.parsedType===ke.promise?n.data:Promise.resolve(n.data);return Xi(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Nf.create=(e,t)=>new Nf({type:e,typeName:nt.ZodPromise,...yt(t)});class Ds extends St{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===nt.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{Pe(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ct:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ct:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!ag(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>ag(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);jt.assertNever(i)}}Ds.create=(e,t,n)=>new Ds({schema:e,typeName:nt.ZodEffects,effect:t,...yt(n)});Ds.createWithPreprocess=(e,t,n)=>new Ds({schema:t,effect:{type:"preprocess",transform:e},typeName:nt.ZodEffects,...yt(n)});class Ka extends St{_parse(t){return this._getType(t)===ke.undefined?Xi(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ka.create=(e,t)=>new Ka({innerType:e,typeName:nt.ZodOptional,...yt(t)});class kc extends St{_parse(t){return this._getType(t)===ke.null?Xi(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}kc.create=(e,t)=>new kc({innerType:e,typeName:nt.ZodNullable,...yt(t)});class yg extends St{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===ke.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}yg.create=(e,t)=>new yg({innerType:e,typeName:nt.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...yt(t)});class zv extends St{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return Lv(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Rs(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Rs(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}zv.create=(e,t)=>new zv({innerType:e,typeName:nt.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...yt(t)});class Uv extends St{_parse(t){if(this._getType(t)!==ke.nan){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.nan,received:r.parsedType}),ct}return{status:"valid",value:t.data}}}Uv.create=e=>new Uv({typeName:nt.ZodNaN,...yt(e)});const Ete=Symbol("zod_brand");class aD extends St{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class wm extends St{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?ct:o.status==="dirty"?(n.dirty(),oD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?ct:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new wm({in:t,out:n,typeName:nt.ZodPipeline})}}class jv extends St{_parse(t){const n=this._def.innerType._parse(t);return ag(n)&&(n.value=Object.freeze(n.value)),n}}jv.create=(e,t)=>new jv({innerType:e,typeName:nt.ZodReadonly,...yt(t)});const lD=(e,t={},n)=>e?Mf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):Mf.create(),Tte={object:Jn.lazycreate};var nt;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(nt||(nt={}));const Ate=(e,t={message:`Input not instance of ${e.name}`})=>lD(n=>n instanceof e,t),uD=Ts.create,cD=hu.create,kte=Uv.create,Pte=pu.create,dD=lg.create,Rte=Tc.create,Ote=$v.create,Ite=ug.create,Mte=cg.create,Nte=Mf.create,Dte=mc.create,Lte=ol.create,$te=Fv.create,Fte=Os.create,Bte=Jn.create,zte=Jn.strictCreate,Ute=dg.create,jte=I_.create,Vte=fg.create,Gte=ma.create,Hte=hg.create,qte=Bv.create,Wte=Ac.create,Kte=uf.create,Xte=pg.create,Qte=gg.create,Yte=gu.create,Zte=mg.create,Jte=Nf.create,Hk=Ds.create,ene=Ka.create,tne=kc.create,nne=Ds.createWithPreprocess,rne=wm.create,ine=()=>uD().optional(),one=()=>cD().optional(),sne=()=>dD().optional(),ane={string:e=>Ts.create({...e,coerce:!0}),number:e=>hu.create({...e,coerce:!0}),boolean:e=>lg.create({...e,coerce:!0}),bigint:e=>pu.create({...e,coerce:!0}),date:e=>Tc.create({...e,coerce:!0})},lne=ct;var z=Object.freeze({__proto__:null,defaultErrorMap:sg,setErrorMap:fte,getErrorMap:Nv,makeIssue:Dv,EMPTY_PATH:hte,addIssueToContext:Pe,ParseStatus:zi,INVALID:ct,DIRTY:oD,OK:Xi,isAborted:hC,isDirty:pC,isValid:ag,isAsync:Lv,get util(){return jt},get objectUtil(){return fC},ZodParsedType:ke,getParsedType:Dl,ZodType:St,ZodString:Ts,ZodNumber:hu,ZodBigInt:pu,ZodBoolean:lg,ZodDate:Tc,ZodSymbol:$v,ZodUndefined:ug,ZodNull:cg,ZodAny:Mf,ZodUnknown:mc,ZodNever:ol,ZodVoid:Fv,ZodArray:Os,ZodObject:Jn,ZodUnion:dg,ZodDiscriminatedUnion:I_,ZodIntersection:fg,ZodTuple:ma,ZodRecord:hg,ZodMap:Bv,ZodSet:Ac,ZodFunction:uf,ZodLazy:pg,ZodLiteral:gg,ZodEnum:gu,ZodNativeEnum:mg,ZodPromise:Nf,ZodEffects:Ds,ZodTransformer:Ds,ZodOptional:Ka,ZodNullable:kc,ZodDefault:yg,ZodCatch:zv,ZodNaN:Uv,BRAND:Ete,ZodBranded:aD,ZodPipeline:wm,ZodReadonly:jv,custom:lD,Schema:St,ZodSchema:St,late:Tte,get ZodFirstPartyTypeKind(){return nt},coerce:ane,any:Nte,array:Fte,bigint:Pte,boolean:dD,date:Rte,discriminatedUnion:jte,effect:Hk,enum:Yte,function:Kte,instanceof:Ate,intersection:Vte,lazy:Xte,literal:Qte,map:qte,nan:kte,nativeEnum:Zte,never:Lte,null:Mte,nullable:tne,number:cD,object:Bte,oboolean:sne,onumber:one,optional:ene,ostring:ine,pipeline:rne,preprocess:nne,promise:Jte,record:Hte,set:Wte,strictObject:zte,string:uD,symbol:Ote,transformer:Hk,tuple:Gte,undefined:Ite,union:Ute,unknown:Dte,void:$te,NEVER:lne,ZodIssueCode:ce,quotelessJson:dte,ZodError:Rs});const une=z.string(),g6e=e=>une.safeParse(e).success,cne=z.string(),m6e=e=>cne.safeParse(e).success,dne=z.string(),y6e=e=>dne.safeParse(e).success,fne=z.string(),v6e=e=>fne.safeParse(e).success,hne=z.number().int().min(1),_6e=e=>hne.safeParse(e).success,pne=z.number().min(1),b6e=e=>pne.safeParse(e).success,fD=z.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),S6e=e=>fD.safeParse(e).success,w6e={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},gne=z.number().int().min(0).max(cte),x6e=e=>gne.safeParse(e).success,mne=z.number().multipleOf(8).min(64),C6e=e=>mne.safeParse(e).success,yne=z.number().multipleOf(8).min(64),E6e=e=>yne.safeParse(e).success,Gc=z.enum(["any","sd-1","sd-2","sdxl","sdxl-refiner"]),M_=z.object({model_name:z.string().min(1),base_model:Gc,model_type:z.literal("main")}),T6e=e=>M_.safeParse(e).success,yE=z.object({model_name:z.string().min(1),base_model:z.literal("sdxl-refiner"),model_type:z.literal("main")}),A6e=e=>yE.safeParse(e).success,hD=z.object({model_name:z.string().min(1),base_model:Gc,model_type:z.literal("onnx")}),xm=z.union([M_,hD]),vne=z.object({model_name:z.string().min(1),base_model:Gc}),k6e=z.object({model_name:z.string().min(1),base_model:Gc}),P6e=z.object({model_name:z.string().min(1),base_model:Gc}),R6e=z.object({model_name:z.string().min(1),base_model:Gc}),_ne=z.number().min(0).max(1),O6e=e=>_ne.safeParse(e).success;z.enum(["fp16","fp32"]);const bne=z.number().min(1).max(10),I6e=e=>bne.safeParse(e).success,Sne=z.number().min(1).max(10),M6e=e=>Sne.safeParse(e).success,wne=z.number().min(0).max(1),N6e=e=>wne.safeParse(e).success;z.enum(["box","gaussian"]);z.enum(["unmasked","mask","edge"]);const Fs={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceMode:"edge",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,infillTileSize:32,infillPatchmatchDownscaleSize:1,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},xne=Fs,pD=tr({name:"generation",initialState:xne,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=zl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=zl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...Fs}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 0},setMaskBlur:(e,t)=>{e.maskBlur=t.payload},setMaskBlurMethod:(e,t)=>{e.maskBlurMethod=t.payload},setCanvasCoherenceMode:(e,t)=>{e.canvasCoherenceMode=t.payload},setCanvasCoherenceSteps:(e,t)=>{e.canvasCoherenceSteps=t.payload},setCanvasCoherenceStrength:(e,t)=>{e.canvasCoherenceStrength=t.payload},setInfillMethod:(e,t)=>{e.infillMethod=t.payload},setInfillTileSize:(e,t)=>{e.infillTileSize=t.payload},setInfillPatchmatchDownscaleSize:(e,t)=>{e.infillPatchmatchDownscaleSize=t.payload},setShouldUseSymmetry:(e,t)=>{e.shouldUseSymmetry=t.payload},setHorizontalSymmetrySteps:(e,t)=>{e.horizontalSymmetrySteps=t.payload},setVerticalSymmetrySteps:(e,t)=>{e.verticalSymmetrySteps=t.payload},setShouldUseNoiseSettings:(e,t)=>{e.shouldUseNoiseSettings=t.payload},initialImageChanged:(e,t)=>{const{image_name:n,width:r,height:i}=t.payload;e.initialImage={imageName:n,width:r,height:i}},modelChanged:(e,t)=>{if(e.model=t.payload,e.model===null)return;const{maxClip:n}=ute[e.model.base_model];e.clipSkip=zl(e.clipSkip,0,n)},vaeSelected:(e,t)=>{e.vae=t.payload},vaePrecisionChanged:(e,t)=>{e.vaePrecision=t.payload},setClipSkip:(e,t)=>{e.clipSkip=t.payload},shouldUseCpuNoiseChanged:(e,t)=>{e.shouldUseCpuNoise=t.payload},setShouldShowAdvancedOptions:(e,t)=>{e.shouldShowAdvancedOptions=t.payload,t.payload||(e.clipSkip=0)},setAspectRatio:(e,t)=>{const 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We=ne.queryCacheKey,Ke=ye.getState()[J].queries[We];if(Ke&&Ke.status!==t.uninitialized){var it=Ae(De.currentSubscriptions[We]);if(Number.isFinite(it)){var ot=ze[We];ot!=null&&ot.timeout&&(clearTimeout(ot.timeout),ot.timeout=void 0);var pt=Date.now()+it,_t=ze[We]={nextPollTimestamp:pt,pollingInterval:it,timeout:setTimeout(function(){_t.timeout=void 0,ye.dispatch(re(Ke,We))},it)}}}}function Oe(ne,ye){var We=ne.queryCacheKey,Ke=ye.getState()[J].queries[We];if(Ke&&Ke.status!==t.uninitialized){var it=Ae(De.currentSubscriptions[We]);if(Number.isFinite(it)){var ot=ze[We],pt=Date.now()+it;(!ot||pt<ot.nextPollTimestamp)&&rt({queryCacheKey:We},ye)}else Ue(We)}}function Ue(ne){var ye=ze[ne];ye!=null&&ye.timeout&&clearTimeout(ye.timeout),delete ze[ne]}function Ae(ne){ne===void 0&&(ne={});var ye=Number.POSITIVE_INFINITY;for(var We in ne)ne[We].pollingInterval&&(ye=Math.min(ne[We].pollingInterval,ye));return ye}return function(ne,ye){(le.internalActions.updateSubscriptionOptions.match(ne)||le.internalActions.unsubscribeQueryResult.match(ne))&&Oe(ne.payload,ye),(te.pending.match(ne)||te.rejected.match(ne)&&ne.meta.condition)&&Oe(ne.meta.arg,ye),(te.fulfilled.match(ne)||te.rejected.match(ne)&&!ne.meta.condition)&&rt(ne.meta.arg,ye),le.util.resetApiState.match(ne)&&function(){for(var We=0,Ke=Object.keys(ze);We<Ke.length;We++)Ue(Ke[We])}()}},Cr=v(So),Hr=new Error("Promise never resolved before cacheEntryRemoved."),Ci=function(W){var J=W.api,te=W.reducerPath,le=W.context,re=W.queryThunk,De=W.mutationThunk,ze=(0,Cr.isAsyncThunkAction)(re),rt=(0,Cr.isAsyncThunkAction)(De),Oe=(0,Cr.isFulfilled)(re,De),Ue={};function Ae(ne,ye,We,Ke,it){var ot=le.endpointDefinitions[ne],pt=ot==null?void 0:ot.onCacheEntryAdded;if(pt){var _t={},wt=new Promise(function(hr){_t.cacheEntryRemoved=hr}),en=Promise.race([new Promise(function(hr){_t.valueResolved=hr}),wt.then(function(){throw Hr})]);en.catch(function(){}),Ue[We]=_t;var tn=J.endpoints[ne].select(ot.type===Q.query?ye:We),Ei=Ke.dispatch(function(hr,li,jn){return jn}),bo=_(b({},Ke),{getCacheEntry:function(){return tn(Ke.getState())},requestId:it,extra:Ei,updateCachedData:ot.type===Q.query?function(hr){return Ke.dispatch(J.util.updateQueryData(ne,ye,hr))}:void 0,cacheDataLoaded:en,cacheEntryRemoved:wt}),Ti=pt(ye,bo);Promise.resolve(Ti).catch(function(hr){if(hr!==Hr)throw hr})}}return function(ne,ye,We){var Ke=function(tn){return ze(tn)?tn.meta.arg.queryCacheKey:rt(tn)?tn.meta.requestId:J.internalActions.removeQueryResult.match(tn)?tn.payload.queryCacheKey:J.internalActions.removeMutationResult.match(tn)?Sr(tn.payload):""}(ne);if(re.pending.match(ne)){var it=We[te].queries[Ke],ot=ye.getState()[te].queries[Ke];!it&&ot&&Ae(ne.meta.arg.endpointName,ne.meta.arg.originalArgs,Ke,ye,ne.meta.requestId)}else if(De.pending.match(ne))(ot=ye.getState()[te].mutations[Ke])&&Ae(ne.meta.arg.endpointName,ne.meta.arg.originalArgs,Ke,ye,ne.meta.requestId);else if(Oe(ne))(en=Ue[Ke])!=null&&en.valueResolved&&(en.valueResolved({data:ne.payload,meta:ne.meta.baseQueryMeta}),delete en.valueResolved);else if(J.internalActions.removeQueryResult.match(ne)||J.internalActions.removeMutationResult.match(ne))(en=Ue[Ke])&&(delete Ue[Ke],en.cacheEntryRemoved());else if(J.util.resetApiState.match(ne))for(var pt=0,_t=Object.entries(Ue);pt<_t.length;pt++){var wt=_t[pt],en=wt[1];delete Ue[wt[0]],en.cacheEntryRemoved()}}},no=v(So),si=function(W){var J=W.api,te=W.context,le=W.queryThunk,re=W.mutationThunk,De=(0,no.isPending)(le,re),ze=(0,no.isRejected)(le,re),rt=(0,no.isFulfilled)(le,re),Oe={};return function(Ue,Ae){var ne,ye,We;if(De(Ue)){var Ke=Ue.meta,it=Ke.requestId,ot=Ke.arg,pt=ot.endpointName,_t=ot.originalArgs,wt=te.endpointDefinitions[pt],en=wt==null?void 0:wt.onQueryStarted;if(en){var tn={},Ei=new Promise(function(ps,Je){tn.resolve=ps,tn.reject=Je});Ei.catch(function(){}),Oe[it]=tn;var bo=J.endpoints[pt].select(wt.type===Q.query?_t:it),Ti=Ae.dispatch(function(ps,Je,nn){return nn}),hr=_(b({},Ae),{getCacheEntry:function(){return bo(Ae.getState())},requestId:it,extra:Ti,updateCachedData:wt.type===Q.query?function(ps){return Ae.dispatch(J.util.updateQueryData(pt,_t,ps))}:void 0,queryFulfilled:Ei});en(_t,hr)}}else if(rt(Ue)){var li=Ue.meta,jn=li.baseQueryMeta;(ne=Oe[it=li.requestId])==null||ne.resolve({data:Ue.payload,meta:jn}),delete Oe[it]}else if(ze(Ue)){var ro=Ue.meta;jn=ro.baseQueryMeta,(We=Oe[it=ro.requestId])==null||We.reject({error:(ye=Ue.payload)!=null?ye:Ue.error,isUnhandledError:!ro.rejectedWithValue,meta:jn}),delete Oe[it]}}},Mr=function(W){var J=W.api,te=W.context.apiUid;return function(le,re){J.util.resetApiState.match(le)&&re.dispatch(J.internalActions.middlewareRegistered(te))}},hs=v(Oh),Us=typeof queueMicrotask=="function"?queueMicrotask.bind(typeof window<"u"?window:typeof ut<"u"?ut:globalThis):function(W){return(_o||(_o=Promise.resolve())).then(W).catch(function(J){return setTimeout(function(){throw J},0)})};function ai(W){for(var J=[],te=1;te<arguments.length;te++)J[te-1]=arguments[te];Object.assign.apply(Object,i([W],J))}var yl=v(Oh),Bo=Symbol(),qr=function(){return{name:Bo,init:function(W,J,te){var le=J.baseQuery,re=J.reducerPath,De=J.serializeQueryArgs,ze=J.keepUnusedDataFor,rt=J.refetchOnMountOrArgChange,Oe=J.refetchOnFocus,Ue=J.refetchOnReconnect;(0,yl.enablePatches)();var Ae=function(Je){return Je};Object.assign(W,{reducerPath:re,endpoints:{},internalActions:{onOnline:U,onOffline:V,onFocus:I,onFocusLost:F},util:{}});var ne=function(Je){var nn=this,Kt=Je.reducerPath,Qn=Je.baseQuery,pr=Je.context.endpointDefinitions,ui=Je.serializeQueryArgs,dn=Je.api,Pt=function(ve,Xe){return S(nn,[ve,Xe],function(Le,Ce){var je,st,$e,_e,se,Se,ue,fe,be,Qe,Ge,Ee,xt,Lt=Ce.signal,$t=Ce.abort,Yn=Ce.rejectWithValue,ar=Ce.fulfillWithValue,On=Ce.dispatch,bn=Ce.getState,ji=Ce.extra;return r(this,function($){switch($.label){case 0:je=pr[Le.endpointName],$.label=1;case 1:return $.trys.push([1,8,,13]),st=br,$e=void 0,_e={signal:Lt,abort:$t,dispatch:On,getState:bn,extra:ji,endpoint:Le.endpointName,type:Le.type,forced:Le.type==="query"?Bt(Le,bn()):void 0},(se=Le.type==="query"?Le[et]:void 0)?($e=se(),[3,6]):[3,2];case 2:return je.query?[4,Qn(je.query(Le.originalArgs),_e,je.extraOptions)]:[3,4];case 3:return $e=$.sent(),je.transformResponse&&(st=je.transformResponse),[3,6];case 4:return[4,je.queryFn(Le.originalArgs,_e,je.extraOptions,function(G){return Qn(G,_e,je.extraOptions)})];case 5:$e=$.sent(),$.label=6;case 6:if($e.error)throw new P($e.error,$e.meta);return Se=ar,[4,st($e.data,$e.meta,Le.originalArgs)];case 7:return[2,Se.apply(void 0,[$.sent(),(Ee={fulfilledTimeStamp:Date.now(),baseQueryMeta:$e.meta},Ee[Ht.SHOULD_AUTOBATCH]=!0,Ee)])];case 8:if(ue=$.sent(),!((fe=ue)instanceof P))return[3,12];be=br,je.query&&je.transformErrorResponse&&(be=je.transformErrorResponse),$.label=9;case 9:return $.trys.push([9,11,,12]),Qe=Yn,[4,be(fe.value,fe.meta,Le.originalArgs)];case 10:return[2,Qe.apply(void 0,[$.sent(),(xt={baseQueryMeta:fe.meta},xt[Ht.SHOULD_AUTOBATCH]=!0,xt)])];case 11:return Ge=$.sent(),fe=Ge,[3,12];case 12:throw console.error(fe),fe;case 13:return[2]}})})};function Bt(ve,Xe){var Le,Ce,je,st,$e=(Ce=(Le=Xe[Kt])==null?void 0:Le.queries)==null?void 0:Ce[ve.queryCacheKey],_e=(je=Xe[Kt])==null?void 0:je.config.refetchOnMountOrArgChange,se=$e==null?void 0:$e.fulfilledTimeStamp,Se=(st=ve.forceRefetch)!=null?st:ve.subscribe&&_e;return!!Se&&(Se===!0||(Number(new Date)-Number(se))/1e3>=Se)}var fn=(0,Ht.createAsyncThunk)(Kt+"/executeQuery",Pt,{getPendingMeta:function(){var ve;return(ve={startedTimeStamp:Date.now()})[Ht.SHOULD_AUTOBATCH]=!0,ve},condition:function(ve,Xe){var Le,Ce,je,st=(0,Xe.getState)(),$e=(Ce=(Le=st[Kt])==null?void 0:Le.queries)==null?void 0:Ce[ve.queryCacheKey],_e=$e==null?void 0:$e.fulfilledTimeStamp,se=ve.originalArgs,Se=$e==null?void 0:$e.originalArgs,ue=pr[ve.endpointName];return!(!Ne(ve)&&(($e==null?void 0:$e.status)==="pending"||!Bt(ve,st)&&(!ee(ue)||!((je=ue==null?void 0:ue.forceRefetch)!=null&&je.call(ue,{currentArg:se,previousArg:Se,endpointState:$e,state:st})))&&_e))},dispatchConditionRejection:!0}),Xt=(0,Ht.createAsyncThunk)(Kt+"/executeMutation",Pt,{getPendingMeta:function(){var ve;return(ve={startedTimeStamp:Date.now()})[Ht.SHOULD_AUTOBATCH]=!0,ve}});function sn(ve){return function(Xe){var Le,Ce;return((Ce=(Le=Xe==null?void 0:Xe.meta)==null?void 0:Le.arg)==null?void 0:Ce.endpointName)===ve}}return{queryThunk:fn,mutationThunk:Xt,prefetch:function(ve,Xe,Le){return function(Ce,je){var st=function(ue){return"force"in ue}(Le)&&Le.force,$e=function(ue){return"ifOlderThan"in ue}(Le)&&Le.ifOlderThan,_e=function(ue){return ue===void 0&&(ue=!0),dn.endpoints[ve].initiate(Xe,{forceRefetch:ue})},se=dn.endpoints[ve].select(Xe)(je());if(st)Ce(_e());else if($e){var Se=se==null?void 0:se.fulfilledTimeStamp;if(!Se)return void Ce(_e());(Number(new Date)-Number(new Date(Se)))/1e3>=$e&&Ce(_e())}else Ce(_e(!1))}},updateQueryData:function(ve,Xe,Le){return function(Ce,je){var st,$e,_e=dn.endpoints[ve].select(Xe)(je()),se={patches:[],inversePatches:[],undo:function(){return Ce(dn.util.patchQueryData(ve,Xe,se.inversePatches))}};if(_e.status===t.uninitialized)return se;if("data"in _e)if((0,Te.isDraftable)(_e.data)){var Se=(0,Te.produceWithPatches)(_e.data,Le),ue=Se[2];(st=se.patches).push.apply(st,Se[1]),($e=se.inversePatches).push.apply($e,ue)}else{var fe=Le(_e.data);se.patches.push({op:"replace",path:[],value:fe}),se.inversePatches.push({op:"replace",path:[],value:_e.data})}return Ce(dn.util.patchQueryData(ve,Xe,se.patches)),se}},upsertQueryData:function(ve,Xe,Le){return function(Ce){var je;return Ce(dn.endpoints[ve].initiate(Xe,((je={subscribe:!1,forceRefetch:!0})[et]=function(){return{data:Le}},je)))}},patchQueryData:function(ve,Xe,Le){return function(Ce){Ce(dn.internalActions.queryResultPatched({queryCacheKey:ui({queryArgs:Xe,endpointDefinition:pr[ve],endpointName:ve}),patches:Le}))}},buildMatchThunkActions:function(ve,Xe){return{matchPending:(0,lt.isAllOf)((0,lt.isPending)(ve),sn(Xe)),matchFulfilled:(0,lt.isAllOf)((0,lt.isFulfilled)(ve),sn(Xe)),matchRejected:(0,lt.isAllOf)((0,lt.isRejected)(ve),sn(Xe))}}}}({baseQuery:le,reducerPath:re,context:te,api:W,serializeQueryArgs:De}),ye=ne.queryThunk,We=ne.mutationThunk,Ke=ne.patchQueryData,it=ne.updateQueryData,ot=ne.upsertQueryData,pt=ne.prefetch,_t=ne.buildMatchThunkActions,wt=function(Je){var nn=Je.reducerPath,Kt=Je.queryThunk,Qn=Je.mutationThunk,pr=Je.context,ui=pr.endpointDefinitions,dn=pr.apiUid,Pt=pr.extractRehydrationInfo,Bt=pr.hasRehydrationInfo,fn=Je.assertTagType,Xt=Je.config,sn=(0,ae.createAction)(nn+"/resetApiState"),ve=(0,ae.createSlice)({name:nn+"/queries",initialState:Vr,reducers:{removeQueryResult:{reducer:function(_e,se){delete _e[se.payload.queryCacheKey]},prepare:(0,ae.prepareAutoBatched)()},queryResultPatched:function(_e,se){var Se=se.payload,ue=Se.patches;kn(_e,Se.queryCacheKey,function(fe){fe.data=(0,qt.applyPatches)(fe.data,ue.concat())})}},extraReducers:function(_e){_e.addCase(Kt.pending,function(se,Se){var ue,fe=Se.meta,be=Se.meta.arg,Qe=Ne(be);(be.subscribe||Qe)&&(se[ue=be.queryCacheKey]!=null||(se[ue]={status:t.uninitialized,endpointName:be.endpointName})),kn(se,be.queryCacheKey,function(Ge){Ge.status=t.pending,Ge.requestId=Qe&&Ge.requestId?Ge.requestId:fe.requestId,be.originalArgs!==void 0&&(Ge.originalArgs=be.originalArgs),Ge.startedTimeStamp=fe.startedTimeStamp})}).addCase(Kt.fulfilled,function(se,Se){var ue=Se.meta,fe=Se.payload;kn(se,ue.arg.queryCacheKey,function(be){var Qe;if(be.requestId===ue.requestId||Ne(ue.arg)){var Ge=ui[ue.arg.endpointName].merge;if(be.status=t.fulfilled,Ge)if(be.data!==void 0){var Ee=ue.fulfilledTimeStamp,xt=ue.arg,Lt=ue.baseQueryMeta,$t=ue.requestId,Yn=(0,ae.createNextState)(be.data,function(ar){return Ge(ar,fe,{arg:xt.originalArgs,baseQueryMeta:Lt,fulfilledTimeStamp:Ee,requestId:$t})});be.data=Yn}else be.data=fe;else be.data=(Qe=ui[ue.arg.endpointName].structuralSharing)==null||Qe?C((0,_n.isDraft)(be.data)?(0,qt.original)(be.data):be.data,fe):fe;delete be.error,be.fulfilledTimeStamp=ue.fulfilledTimeStamp}})}).addCase(Kt.rejected,function(se,Se){var ue=Se.meta,fe=ue.condition,be=ue.requestId,Qe=Se.error,Ge=Se.payload;kn(se,ue.arg.queryCacheKey,function(Ee){if(!fe){if(Ee.requestId!==be)return;Ee.status=t.rejected,Ee.error=Ge??Qe}})}).addMatcher(Bt,function(se,Se){for(var ue=Pt(Se).queries,fe=0,be=Object.entries(ue);fe<be.length;fe++){var Qe=be[fe],Ge=Qe[1];(Ge==null?void 0:Ge.status)!==t.fulfilled&&(Ge==null?void 0:Ge.status)!==t.rejected||(se[Qe[0]]=Ge)}})}}),Xe=(0,ae.createSlice)({name:nn+"/mutations",initialState:Vr,reducers:{removeMutationResult:{reducer:function(_e,se){var Se=Sr(se.payload);Se in _e&&delete _e[Se]},prepare:(0,ae.prepareAutoBatched)()}},extraReducers:function(_e){_e.addCase(Qn.pending,function(se,Se){var ue=Se.meta,fe=ue.requestId,be=ue.arg,Qe=ue.startedTimeStamp;be.track&&(se[Sr(Se.meta)]={requestId:fe,status:t.pending,endpointName:be.endpointName,startedTimeStamp:Qe})}).addCase(Qn.fulfilled,function(se,Se){var ue=Se.payload,fe=Se.meta;fe.arg.track&&eo(se,fe,function(be){be.requestId===fe.requestId&&(be.status=t.fulfilled,be.data=ue,be.fulfilledTimeStamp=fe.fulfilledTimeStamp)})}).addCase(Qn.rejected,function(se,Se){var ue=Se.payload,fe=Se.error,be=Se.meta;be.arg.track&&eo(se,be,function(Qe){Qe.requestId===be.requestId&&(Qe.status=t.rejected,Qe.error=ue??fe)})}).addMatcher(Bt,function(se,Se){for(var ue=Pt(Se).mutations,fe=0,be=Object.entries(ue);fe<be.length;fe++){var Qe=be[fe],Ge=Qe[0],Ee=Qe[1];(Ee==null?void 0:Ee.status)!==t.fulfilled&&(Ee==null?void 0:Ee.status)!==t.rejected||Ge===(Ee==null?void 0:Ee.requestId)||(se[Ge]=Ee)}})}}),Le=(0,ae.createSlice)({name:nn+"/invalidation",initialState:Vr,reducers:{},extraReducers:function(_e){_e.addCase(ve.actions.removeQueryResult,function(se,Se){for(var ue=Se.payload.queryCacheKey,fe=0,be=Object.values(se);fe<be.length;fe++)for(var Qe=0,Ge=Object.values(be[fe]);Qe<Ge.length;Qe++){var Ee=Ge[Qe],xt=Ee.indexOf(ue);xt!==-1&&Ee.splice(xt,1)}}).addMatcher(Bt,function(se,Se){for(var ue,fe,be,Qe,Ge=Pt(Se).provided,Ee=0,xt=Object.entries(Ge);Ee<xt.length;Ee++)for(var Lt=xt[Ee],$t=Lt[0],Yn=0,ar=Object.entries(Lt[1]);Yn<ar.length;Yn++)for(var On=ar[Yn],bn=On[0],ji=On[1],$=(Qe=(fe=(ue=se[$t])!=null?ue:se[$t]={})[be=bn||"__internal_without_id"])!=null?Qe:fe[be]=[],G=0,X=ji;G<X.length;G++){var de=X[G];$.includes(de)||$.push(de)}}).addMatcher((0,ae.isAnyOf)((0,ae.isFulfilled)(Kt),(0,ae.isRejectedWithValue)(Kt)),function(se,Se){for(var ue,fe,be,Qe,Ge=An(Se,"providesTags",ui,fn),Ee=Se.meta.arg.queryCacheKey,xt=0,Lt=Object.values(se);xt<Lt.length;xt++)for(var $t=0,Yn=Object.values(Lt[xt]);$t<Yn.length;$t++){var ar=Yn[$t],On=ar.indexOf(Ee);On!==-1&&ar.splice(On,1)}for(var bn=0,ji=Ge;bn<ji.length;bn++){var $=ji[bn],G=$.type,X=$.id,de=(Qe=(fe=(ue=se[G])!=null?ue:se[G]={})[be=X||"__internal_without_id"])!=null?Qe:fe[be]=[];de.includes(Ee)||de.push(Ee)}})}}),Ce=(0,ae.createSlice)({name:nn+"/subscriptions",initialState:Vr,reducers:{updateSubscriptionOptions:function(_e,se){},unsubscribeQueryResult:function(_e,se){},internal_probeSubscription:function(_e,se){}}}),je=(0,ae.createSlice)({name:nn+"/internalSubscriptions",initialState:Vr,reducers:{subscriptionsUpdated:{reducer:function(_e,se){return(0,qt.applyPatches)(_e,se.payload)},prepare:(0,ae.prepareAutoBatched)()}}}),st=(0,ae.createSlice)({name:nn+"/config",initialState:b({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},Xt),reducers:{middlewareRegistered:function(_e,se){_e.middlewareRegistered=_e.middlewareRegistered!=="conflict"&&dn===se.payload||"conflict"}},extraReducers:function(_e){_e.addCase(U,function(se){se.online=!0}).addCase(V,function(se){se.online=!1}).addCase(I,function(se){se.focused=!0}).addCase(F,function(se){se.focused=!1}).addMatcher(Bt,function(se){return b({},se)})}}),$e=(0,ae.combineReducers)({queries:ve.reducer,mutations:Xe.reducer,provided:Le.reducer,subscriptions:je.reducer,config:st.reducer});return{reducer:function(_e,se){return $e(sn.match(se)?void 0:_e,se)},actions:_(b(b(b(b(b({},st.actions),ve.actions),Ce.actions),je.actions),Xe.actions),{unsubscribeMutationResult:Xe.actions.removeMutationResult,resetApiState:sn})}}({context:te,queryThunk:ye,mutationThunk:We,reducerPath:re,assertTagType:Ae,config:{refetchOnFocus:Oe,refetchOnReconnect:Ue,refetchOnMountOrArgChange:rt,keepUnusedDataFor:ze,reducerPath:re}}),en=wt.reducer,tn=wt.actions;ai(W.util,{patchQueryData:Ke,updateQueryData:it,upsertQueryData:ot,prefetch:pt,resetApiState:tn.resetApiState}),ai(W.internalActions,tn);var Ei=function(Je){var nn=Je.reducerPath,Kt=Je.queryThunk,Qn=Je.api,pr=Je.context,ui=pr.apiUid,dn={invalidateTags:(0,Ea.createAction)(nn+"/invalidateTags")},Pt=[Mr,Rn,Ir,xr,Ci,si];return{middleware:function(fn){var Xt=!1,sn=_(b({},Je),{internalState:{currentSubscriptions:{}},refetchQuery:Bt}),ve=Pt.map(function(Ce){return Ce(sn)}),Xe=function(Ce){var je=Ce.api,st=Ce.queryThunk,$e=Ce.internalState,_e=je.reducerPath+"/subscriptions",se=null,Se=!1,ue=je.internalActions,fe=ue.updateSubscriptionOptions,be=ue.unsubscribeQueryResult;return function(Qe,Ge){var Ee,xt;if(se||(se=JSON.parse(JSON.stringify($e.currentSubscriptions))),je.util.resetApiState.match(Qe))return se=$e.currentSubscriptions={},[!0,!1];if(je.internalActions.internal_probeSubscription.match(Qe)){var Lt=Qe.payload;return[!1,!!((Ee=$e.currentSubscriptions[Lt.queryCacheKey])!=null&&Ee[Lt.requestId])]}var $t=function(On,bn){var ji,$,G,X,de,bt,rn,Sn,Et;if(fe.match(bn)){var hn=bn.payload,ci=hn.queryCacheKey,Vn=hn.requestId;return(ji=On==null?void 0:On[ci])!=null&&ji[Vn]&&(On[ci][Vn]=hn.options),!0}if(be.match(bn)){var vl=bn.payload;return Vn=vl.requestId,On[ci=vl.queryCacheKey]&&delete On[ci][Vn],!0}if(je.internalActions.removeQueryResult.match(bn))return delete On[bn.payload.queryCacheKey],!0;if(st.pending.match(bn)){var sd=bn.meta;if(Vn=sd.requestId,(ld=sd.arg).subscribe)return(_l=(G=On[$=ld.queryCacheKey])!=null?G:On[$]={})[Vn]=(de=(X=ld.subscriptionOptions)!=null?X:_l[Vn])!=null?de:{},!0}if(st.rejected.match(bn)){var _l,ad=bn.meta,ld=ad.arg;if(Vn=ad.requestId,ad.condition&&ld.subscribe)return(_l=(rn=On[bt=ld.queryCacheKey])!=null?rn:On[bt]={})[Vn]=(Et=(Sn=ld.subscriptionOptions)!=null?Sn:_l[Vn])!=null?Et:{},!0}return!1}($e.currentSubscriptions,Qe);if($t){Se||(Us(function(){var On=JSON.parse(JSON.stringify($e.currentSubscriptions)),bn=(0,hs.produceWithPatches)(se,function(){return On});Ge.next(je.internalActions.subscriptionsUpdated(bn[1])),se=On,Se=!1}),Se=!0);var Yn=!!((xt=Qe.type)!=null&&xt.startsWith(_e)),ar=st.rejected.match(Qe)&&Qe.meta.condition&&!!Qe.meta.arg.subscribe;return[!Yn&&!ar,!1]}return[!0,!1]}}(sn),Le=function(Ce){var je=Ce.reducerPath,st=Ce.context,$e=Ce.refetchQuery,_e=Ce.internalState,se=Ce.api.internalActions.removeQueryResult;function Se(ue,fe){var be=ue.getState()[je],Qe=be.queries,Ge=_e.currentSubscriptions;st.batch(function(){for(var Ee=0,xt=Object.keys(Ge);Ee<xt.length;Ee++){var Lt=xt[Ee],$t=Qe[Lt],Yn=Ge[Lt];Yn&&$t&&(Object.values(Yn).some(function(ar){return ar[fe]===!0})||Object.values(Yn).every(function(ar){return ar[fe]===void 0})&&be.config[fe])&&(Object.keys(Yn).length===0?ue.dispatch(se({queryCacheKey:Lt})):$t.status!==t.uninitialized&&ue.dispatch($e($t,Lt)))}})}return function(ue,fe){I.match(ue)&&Se(fe,"refetchOnFocus"),U.match(ue)&&Se(fe,"refetchOnReconnect")}}(sn);return function(Ce){return function(je){Xt||(Xt=!0,fn.dispatch(Qn.internalActions.middlewareRegistered(ui)));var st,$e=_(b({},fn),{next:Ce}),_e=fn.getState(),se=Xe(je,$e,_e),Se=se[1];if(st=se[0]?Ce(je):Se,fn.getState()[nn]&&(Le(je,$e,_e),function(be){return!!be&&typeof be.type=="string"&&be.type.startsWith(nn+"/")}(je)||pr.hasRehydrationInfo(je)))for(var ue=0,fe=ve;ue<fe.length;ue++)(0,fe[ue])(je,$e,_e);return st}}},actions:dn};function Bt(fn,Xt,sn){return sn===void 0&&(sn={}),Kt(b({type:"query",endpointName:fn.endpointName,originalArgs:fn.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:Xt},sn))}}({reducerPath:re,context:te,queryThunk:ye,mutationThunk:We,api:W,assertTagType:Ae}),bo=Ei.middleware;ai(W.util,Ei.actions),ai(W,{reducer:en,middleware:bo});var Ti=function(Je){var nn=Je.serializeQueryArgs,Kt=Je.reducerPath,Qn=function(Pt){return Pn},pr=function(Pt){return cn};return{buildQuerySelector:function(Pt,Bt){return function(fn){var Xt=nn({queryArgs:fn,endpointDefinition:Bt,endpointName:Pt});return(0,K.createSelector)(fn===sr?Qn:function(sn){var ve,Xe,Le;return(Le=(Xe=(ve=dn(sn))==null?void 0:ve.queries)==null?void 0:Xe[Xt])!=null?Le:Pn},ui)}},buildMutationSelector:function(){return function(Pt){var Bt,fn;return fn=typeof Pt=="object"?(Bt=Sr(Pt))!=null?Bt:sr:Pt,(0,K.createSelector)(fn===sr?pr:function(Xt){var sn,ve,Xe;return(Xe=(ve=(sn=dn(Xt))==null?void 0:sn.mutations)==null?void 0:ve[fn])!=null?Xe:cn},ui)}},selectInvalidatedBy:function(Pt,Bt){for(var fn,Xt=Pt[Kt],sn=new Set,ve=0,Xe=Bt.map(ge);ve<Xe.length;ve++){var Le=Xe[ve],Ce=Xt.provided[Le.type];if(Ce)for(var je=0,st=(fn=Le.id!==void 0?Ce[Le.id]:w(Object.values(Ce)))!=null?fn:[];je<st.length;je++)sn.add(st[je])}return w(Array.from(sn.values()).map(function($e){var _e=Xt.queries[$e];return _e?[{queryCacheKey:$e,endpointName:_e.endpointName,originalArgs:_e.originalArgs}]:[]}))}};function ui(Pt){return b(b({},Pt),{status:Bt=Pt.status,isUninitialized:Bt===t.uninitialized,isLoading:Bt===t.pending,isSuccess:Bt===t.fulfilled,isError:Bt===t.rejected});var Bt}function dn(Pt){return Pt[Kt]}}({serializeQueryArgs:De,reducerPath:re}),hr=Ti.buildQuerySelector,li=Ti.buildMutationSelector;ai(W.util,{selectInvalidatedBy:Ti.selectInvalidatedBy});var jn=function(Je){var nn=Je.serializeQueryArgs,Kt=Je.queryThunk,Qn=Je.mutationThunk,pr=Je.api,ui=Je.context,dn=new Map,Pt=new Map,Bt=pr.internalActions,fn=Bt.unsubscribeQueryResult,Xt=Bt.removeMutationResult,sn=Bt.updateSubscriptionOptions;return{buildInitiateQuery:function(ve,Xe){var Le=function(Ce,je){var st=je===void 0?{}:je,$e=st.subscribe,_e=$e===void 0||$e,se=st.forceRefetch,Se=st.subscriptionOptions,ue=st[et];return function(fe,be){var Qe,Ge,Ee=nn({queryArgs:Ce,endpointDefinition:Xe,endpointName:ve}),xt=Kt(((Qe={type:"query",subscribe:_e,forceRefetch:se,subscriptionOptions:Se,endpointName:ve,originalArgs:Ce,queryCacheKey:Ee})[et]=ue,Qe)),Lt=pr.endpoints[ve].select(Ce),$t=fe(xt),Yn=Lt(be()),ar=$t.requestId,On=$t.abort,bn=Yn.requestId!==ar,ji=(Ge=dn.get(fe))==null?void 0:Ge[Ee],$=function(){return Lt(be())},G=Object.assign(ue?$t.then($):bn&&!ji?Promise.resolve(Yn):Promise.all([ji,$t]).then($),{arg:Ce,requestId:ar,subscriptionOptions:Se,queryCacheKey:Ee,abort:On,unwrap:function(){return S(this,null,function(){var de;return r(this,function(bt){switch(bt.label){case 0:return[4,G];case 1:if((de=bt.sent()).isError)throw de.error;return[2,de.data]}})})},refetch:function(){return fe(Le(Ce,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){_e&&fe(fn({queryCacheKey:Ee,requestId:ar}))},updateSubscriptionOptions:function(de){G.subscriptionOptions=de,fe(sn({endpointName:ve,requestId:ar,queryCacheKey:Ee,options:de}))}});if(!ji&&!bn&&!ue){var X=dn.get(fe)||{};X[Ee]=G,dn.set(fe,X),G.then(function(){delete X[Ee],Object.keys(X).length||dn.delete(fe)})}return G}};return Le},buildInitiateMutation:function(ve){return function(Xe,Le){var Ce=Le===void 0?{}:Le,je=Ce.track,st=je===void 0||je,$e=Ce.fixedCacheKey;return function(_e,se){var Se=Qn({type:"mutation",endpointName:ve,originalArgs:Xe,track:st,fixedCacheKey:$e}),ue=_e(Se),fe=ue.requestId,be=ue.abort,Qe=ue.unwrap,Ge=ue.unwrap().then(function($t){return{data:$t}}).catch(function($t){return{error:$t}}),Ee=function(){_e(Xt({requestId:fe,fixedCacheKey:$e}))},xt=Object.assign(Ge,{arg:ue.arg,requestId:fe,abort:be,unwrap:Qe,unsubscribe:Ee,reset:Ee}),Lt=Pt.get(_e)||{};return Pt.set(_e,Lt),Lt[fe]=xt,xt.then(function(){delete Lt[fe],Object.keys(Lt).length||Pt.delete(_e)}),$e&&(Lt[$e]=xt,xt.then(function(){Lt[$e]===xt&&(delete Lt[$e],Object.keys(Lt).length||Pt.delete(_e))})),xt}}},getRunningQueryThunk:function(ve,Xe){return function(Le){var Ce,je=nn({queryArgs:Xe,endpointDefinition:ui.endpointDefinitions[ve],endpointName:ve});return(Ce=dn.get(Le))==null?void 0:Ce[je]}},getRunningMutationThunk:function(ve,Xe){return function(Le){var Ce;return(Ce=Pt.get(Le))==null?void 0:Ce[Xe]}},getRunningQueriesThunk:function(){return function(ve){return Object.values(dn.get(ve)||{}).filter(dt)}},getRunningMutationsThunk:function(){return function(ve){return Object.values(Pt.get(ve)||{}).filter(dt)}},getRunningOperationPromises:function(){var ve=function(Xe){return Array.from(Xe.values()).flatMap(function(Le){return Le?Object.values(Le):[]})};return i(i([],ve(dn)),ve(Pt)).filter(dt)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
-       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
-       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:ye,mutationThunk:We,api:W,serializeQueryArgs:De,context:te}),ro=jn.buildInitiateQuery,ps=jn.buildInitiateMutation;return ai(W.util,{getRunningOperationPromises:jn.getRunningOperationPromises,getRunningOperationPromise:jn.removalWarning,getRunningMutationThunk:jn.getRunningMutationThunk,getRunningMutationsThunk:jn.getRunningMutationsThunk,getRunningQueryThunk:jn.getRunningQueryThunk,getRunningQueriesThunk:jn.getRunningQueriesThunk}),{name:Bo,injectEndpoint:function(Je,nn){var Kt,Qn=W;(Kt=Qn.endpoints)[Je]!=null||(Kt[Je]={}),ee(nn)?ai(Qn.endpoints[Je],{name:Je,select:hr(Je,nn),initiate:ro(Je,nn)},_t(ye,Je)):nn.type===Q.mutation&&ai(Qn.endpoints[Je],{name:Je,select:li(),initiate:ps(Je)},_t(We,Je))}}}}},Ta=to(qr())})(xD);wD.exports=xD;var tre=wD.exports;const Xr=["general"],jl=["control","mask","user","other"],nre=100,Cy=20,CD=z.enum(["boolean","BooleanCollection","BooleanPolymorphic","ClipField","Collection","CollectionItem","ColorCollection","ColorField","ColorPolymorphic","ConditioningCollection","ConditioningField","ConditioningPolymorphic","ControlCollection","ControlField","ControlNetModelField","ControlPolymorphic","DenoiseMaskField","enum","float","FloatCollection","FloatPolymorphic","ImageCollection","ImageField","ImagePolymorphic","integer","IntegerCollection","IntegerPolymorphic","IPAdapterField","IPAdapterModelField","LatentsCollection","LatentsField","LatentsPolymorphic","LoRAModelField","MainModelField","ONNXModelField","Scheduler","SDXLMainModelField","SDXLRefinerModelField","string","StringCollection","StringPolymorphic","UNetField","VaeField","VaeModelField"]),rre=z.enum(["WorkflowField","IsIntermediate","MetadataField"]),Xk=e=>CD.safeParse(e).success||rre.safeParse(e).success;z.enum(["connection","direct","any"]);const ED=z.object({id:z.string().trim().min(1),name:z.string().trim().min(1),type:CD}),ire=ED.extend({fieldKind:z.literal("output")}),ht=ED.extend({fieldKind:z.literal("input"),label:z.string()}),Hc=z.object({model_name:z.string().trim().min(1),base_model:Gc}),Lf=z.object({image_name:z.string().trim().min(1)}),Vv=z.object({latents_name:z.string().trim().min(1),seed:z.number().int().optional()}),Gv=z.object({conditioning_name:z.string().trim().min(1)}),ore=z.object({mask_name:z.string().trim().min(1),masked_latents_name:z.string().trim().min(1).optional()}),sre=ht.extend({type:z.literal("integer"),value:z.number().int().optional()}),are=ht.extend({type:z.literal("IntegerCollection"),value:z.array(z.number().int()).optional()}),lre=ht.extend({type:z.literal("IntegerPolymorphic"),value:z.union([z.number().int(),z.array(z.number().int())]).optional()}),ure=ht.extend({type:z.literal("float"),value:z.number().optional()}),cre=ht.extend({type:z.literal("FloatCollection"),value:z.array(z.number()).optional()}),dre=ht.extend({type:z.literal("FloatPolymorphic"),value:z.union([z.number(),z.array(z.number())]).optional()}),fre=ht.extend({type:z.literal("string"),value:z.string().optional()}),hre=ht.extend({type:z.literal("StringCollection"),value:z.array(z.string()).optional()}),pre=ht.extend({type:z.literal("StringPolymorphic"),value:z.union([z.string(),z.array(z.string())]).optional()}),gre=ht.extend({type:z.literal("boolean"),value:z.boolean().optional()}),mre=ht.extend({type:z.literal("BooleanCollection"),value:z.array(z.boolean()).optional()}),yre=ht.extend({type:z.literal("BooleanPolymorphic"),value:z.union([z.boolean(),z.array(z.boolean())]).optional()}),vre=ht.extend({type:z.literal("enum"),value:z.string().optional()}),_re=ht.extend({type:z.literal("LatentsField"),value:Vv.optional()}),bre=ht.extend({type:z.literal("LatentsCollection"),value:z.array(Vv).optional()}),Sre=ht.extend({type:z.literal("LatentsPolymorphic"),value:z.union([Vv,z.array(Vv)]).optional()}),wre=ht.extend({type:z.literal("DenoiseMaskField"),value:ore.optional()}),xre=ht.extend({type:z.literal("ConditioningField"),value:Gv.optional()}),Cre=ht.extend({type:z.literal("ConditioningCollection"),value:z.array(Gv).optional()}),Ere=ht.extend({type:z.literal("ConditioningPolymorphic"),value:z.union([Gv,z.array(Gv)]).optional()}),Tre=Hc,bg=z.object({image:Lf,control_model:Tre,control_weight:z.union([z.number(),z.array(z.number())]).optional(),begin_step_percent:z.number().optional(),end_step_percent:z.number().optional(),control_mode:z.enum(["balanced","more_prompt","more_control","unbalanced"]).optional(),resize_mode:z.enum(["just_resize","crop_resize","fill_resize","just_resize_simple"]).optional()}),Are=ht.extend({type:z.literal("ControlField"),value:bg.optional()}),kre=ht.extend({type:z.literal("ControlPolymorphic"),value:z.union([bg,z.array(bg)]).optional()}),Pre=ht.extend({type:z.literal("ControlCollection"),value:z.array(bg).optional()}),Rre=Hc,Ore=z.object({image:Lf,ip_adapter_model:Rre,image_encoder_model:z.string().trim().min(1),weight:z.number()}),Ire=ht.extend({type:z.literal("IPAdapterField"),value:Ore.optional()}),Mre=z.enum(["onnx","main","vae","lora","controlnet","embedding"]),Nre=z.enum(["unet","text_encoder","text_encoder_2","tokenizer","tokenizer_2","vae","vae_decoder","vae_encoder","scheduler","safety_checker"]),$f=Hc.extend({model_type:Mre,submodel:Nre.optional()}),TD=$f.extend({weight:z.number().optional()}),Dre=z.object({unet:$f,scheduler:$f,loras:z.array(TD)}),Lre=ht.extend({type:z.literal("UNetField"),value:Dre.optional()}),$re=z.object({tokenizer:$f,text_encoder:$f,skipped_layers:z.number(),loras:z.array(TD)}),Fre=ht.extend({type:z.literal("ClipField"),value:$re.optional()}),Bre=z.object({vae:$f}),zre=ht.extend({type:z.literal("VaeField"),value:Bre.optional()}),Ure=ht.extend({type:z.literal("ImageField"),value:Lf.optional()}),jre=ht.extend({type:z.literal("ImagePolymorphic"),value:z.union([Lf,z.array(Lf)]).optional()}),Vre=ht.extend({type:z.literal("ImageCollection"),value:z.array(Lf).optional()}),Gre=ht.extend({type:z.literal("MainModelField"),value:xm.optional()}),Hre=ht.extend({type:z.literal("SDXLMainModelField"),value:xm.optional()}),qre=ht.extend({type:z.literal("SDXLRefinerModelField"),value:xm.optional()}),AD=Hc,Wre=ht.extend({type:z.literal("VaeModelField"),value:AD.optional()}),kD=Hc,Kre=ht.extend({type:z.literal("LoRAModelField"),value:kD.optional()}),Xre=Hc,Qre=ht.extend({type:z.literal("ControlNetModelField"),value:Xre.optional()}),Yre=Hc,Zre=ht.extend({type:z.literal("IPAdapterModelField"),value:Yre.optional()}),Jre=ht.extend({type:z.literal("Collection"),value:z.array(z.any()).optional()}),eie=ht.extend({type:z.literal("CollectionItem"),value:z.any().optional()}),Hv=z.object({r:z.number().int().min(0).max(255),g:z.number().int().min(0).max(255),b:z.number().int().min(0).max(255),a:z.number().int().min(0).max(255)}),tie=ht.extend({type:z.literal("ColorField"),value:Hv.optional()}),nie=ht.extend({type:z.literal("ColorCollection"),value:z.array(Hv).optional()}),rie=ht.extend({type:z.literal("ColorPolymorphic"),value:z.union([Hv,z.array(Hv)]).optional()}),iie=ht.extend({type:z.literal("Scheduler"),value:fD.optional()}),oie=z.discriminatedUnion("type",[mre,gre,yre,Fre,Jre,eie,tie,nie,rie,xre,Cre,Ere,Are,Qre,Pre,kre,wre,vre,cre,ure,dre,Vre,jre,Ure,are,lre,sre,Ire,Zre,_re,bre,Sre,Kre,Gre,iie,Hre,qre,hre,pre,fre,Lre,zre,Wre]),NRe=e=>!!(e&&e.fieldKind==="input"),DRe=e=>!!(e&&e.fieldKind==="input"),sie=e=>!!(e&&!("$ref"in e)),Qk=e=>!!(e&&!("$ref"in e)&&e.type==="array"),Ey=e=>!!(e&&!("$ref"in e)&&e.type!=="array"),Ih=e=>!!(e&&"$ref"in e),aie=e=>"class"in e&&e.class==="invocation",lie=e=>"class"in e&&e.class==="output",Yk=e=>!("$ref"in e),PD=z.object({app_version:z.string().nullish(),generation_mode:z.string().nullish(),created_by:z.string().nullish(),positive_prompt:z.string().nullish(),negative_prompt:z.string().nullish(),width:z.number().int().nullish(),height:z.number().int().nullish(),seed:z.number().int().nullish(),rand_device:z.string().nullish(),cfg_scale:z.number().nullish(),steps:z.number().int().nullish(),scheduler:z.string().nullish(),clip_skip:z.number().int().nullish(),model:z.union([M_.deepPartial(),hD.deepPartial()]).nullish(),controlnets:z.array(bg.deepPartial()).nullish(),loras:z.array(z.object({lora:kD.deepPartial(),weight:z.number()})).nullish(),vae:AD.nullish(),strength:z.number().nullish(),init_image:z.string().nullish(),positive_style_prompt:z.string().nullish(),negative_style_prompt:z.string().nullish(),refiner_model:yE.deepPartial().nullish(),refiner_cfg_scale:z.number().nullish(),refiner_steps:z.number().int().nullish(),refiner_scheduler:z.string().nullish(),refiner_positive_aesthetic_score:z.number().nullish(),refiner_negative_aesthetic_score:z.number().nullish(),refiner_start:z.number().nullish()}).passthrough(),bE=z.string().refine(e=>{const[t,n,r]=e.split(".");return t!==void 0&&Number.isInteger(Number(t))&&n!==void 0&&Number.isInteger(Number(n))&&r!==void 0&&Number.isInteger(Number(r))});bE.transform(e=>{const[t,n,r]=e.split(".");return{major:Number(t),minor:Number(n),patch:Number(r)}});const uie=z.object({id:z.string().trim().min(1),type:z.string().trim().min(1),inputs:z.record(oie),outputs:z.record(ire),label:z.string(),isOpen:z.boolean(),notes:z.string(),embedWorkflow:z.boolean(),isIntermediate:z.boolean(),version:bE.optional()}),cie=z.object({id:z.string().trim().min(1),type:z.literal("notes"),label:z.string(),isOpen:z.boolean(),notes:z.string()}),RD=z.object({x:z.number(),y:z.number()}).default({x:0,y:0}),qv=z.number().gt(0).nullish(),OD=z.object({id:z.string().trim().min(1),type:z.literal("invocation"),data:uie,width:qv,height:qv,position:RD}),mC=e=>OD.safeParse(e).success,die=z.object({id:z.string().trim().min(1),type:z.literal("notes"),data:cie,width:qv,height:qv,position:RD}),ID=z.discriminatedUnion("type",[OD,die]),fie=z.object({source:z.string().trim().min(1),sourceHandle:z.string().trim().min(1),target:z.string().trim().min(1),targetHandle:z.string().trim().min(1),id:z.string().trim().min(1),type:z.literal("default")}),hie=z.object({source:z.string().trim().min(1),target:z.string().trim().min(1),id:z.string().trim().min(1),type:z.literal("collapsed")}),MD=z.union([fie,hie]),pie=z.object({nodeId:z.string().trim().min(1),fieldName:z.string().trim().min(1)}),ND=z.object({name:z.string().default(""),author:z.string().default(""),description:z.string().default(""),version:z.string().default(""),contact:z.string().default(""),tags:z.string().default(""),notes:z.string().default(""),nodes:z.array(ID).default([]),edges:z.array(MD).default([]),exposedFields:z.array(pie).default([]),meta:z.object({version:bE}).default({version:"1.0.0"})});ND.transform(e=>{const{nodes:t,edges:n}=e,r=[],i=t.filter(mC),o=mE(i,"id");return n.forEach((s,a)=>{const l=o[s.source],u=o[s.target],c=[];if(l?s.type==="default"&&!(s.sourceHandle in l.data.outputs)&&c.push(`Output field "${s.source}.${s.sourceHandle}" does not exist`):c.push(`Output node ${s.source} does not exist`),u?s.type==="default"&&!(s.targetHandle in u.data.inputs)&&c.push(`Input field "${s.target}.${s.targetHandle}" does not exist`):c.push(`Input node ${s.target} does not exist`),c.length){delete n[a];const d=s.type==="default"?s.sourceHandle:s.source,f=s.type==="default"?s.targetHandle:s.target;r.push({message:`Edge "${d} -> ${f}" skipped`,issues:c,data:s})}}),{workflow:e,warnings:r}});const Wr=e=>!!(e&&e.type==="invocation"),LRe=e=>!!(e&&!["notes","current_image"].includes(e.type)),Zk=e=>!!(e&&e.type==="notes");var La=(e=>(e[e.PENDING=0]="PENDING",e[e.IN_PROGRESS=1]="IN_PROGRESS",e[e.COMPLETED=2]="COMPLETED",e[e.FAILED=3]="FAILED",e))(La||{});/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const gie=4,Jk=0,eP=1,mie=2;function sh(e){let t=e.length;for(;--t>=0;)e[t]=0}const yie=0,DD=1,vie=2,_ie=3,bie=258,SE=29,Cm=256,Sg=Cm+1+SE,cf=30,wE=19,LD=2*Sg+1,oc=15,L2=16,Sie=7,xE=256,$D=16,FD=17,BD=18,yC=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),R0=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),wie=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),zD=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),xie=512,Ba=new Array((Sg+2)*2);sh(Ba);const Sp=new Array(cf*2);sh(Sp);const wg=new Array(xie);sh(wg);const xg=new Array(bie-_ie+1);sh(xg);const CE=new Array(SE);sh(CE);const Wv=new Array(cf);sh(Wv);function $2(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let UD,jD,VD;function F2(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}const GD=e=>e<256?wg[e]:wg[256+(e>>>7)],Cg=(e,t)=>{e.pending_buf[e.pending++]=t&255,e.pending_buf[e.pending++]=t>>>8&255},lo=(e,t,n)=>{e.bi_valid>L2-n?(e.bi_buf|=t<<e.bi_valid&65535,Cg(e,e.bi_buf),e.bi_buf=t>>L2-e.bi_valid,e.bi_valid+=n-L2):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=n)},Js=(e,t,n)=>{lo(e,n[t*2],n[t*2+1])},HD=(e,t)=>{let n=0;do n|=e&1,e>>>=1,n<<=1;while(--t>0);return n>>>1},Cie=e=>{e.bi_valid===16?(Cg(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):e.bi_valid>=8&&(e.pending_buf[e.pending++]=e.bi_buf&255,e.bi_buf>>=8,e.bi_valid-=8)},Eie=(e,t)=>{const n=t.dyn_tree,r=t.max_code,i=t.stat_desc.static_tree,o=t.stat_desc.has_stree,s=t.stat_desc.extra_bits,a=t.stat_desc.extra_base,l=t.stat_desc.max_length;let u,c,d,f,h,p,m=0;for(f=0;f<=oc;f++)e.bl_count[f]=0;for(n[e.heap[e.heap_max]*2+1]=0,u=e.heap_max+1;u<LD;u++)c=e.heap[u],f=n[n[c*2+1]*2+1]+1,f>l&&(f=l,m++),n[c*2+1]=f,!(c>r)&&(e.bl_count[f]++,h=0,c>=a&&(h=s[c-a]),p=n[c*2],e.opt_len+=p*(f+h),o&&(e.static_len+=p*(i[c*2+1]+h)));if(m!==0){do{for(f=l-1;e.bl_count[f]===0;)f--;e.bl_count[f]--,e.bl_count[f+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(f=l;f!==0;f--)for(c=e.bl_count[f];c!==0;)d=e.heap[--u],!(d>r)&&(n[d*2+1]!==f&&(e.opt_len+=(f-n[d*2+1])*n[d*2],n[d*2+1]=f),c--)}},qD=(e,t,n)=>{const r=new Array(oc+1);let i=0,o,s;for(o=1;o<=oc;o++)i=i+n[o-1]<<1,r[o]=i;for(s=0;s<=t;s++){let a=e[s*2+1];a!==0&&(e[s*2]=HD(r[a]++,a))}},Tie=()=>{let e,t,n,r,i;const o=new Array(oc+1);for(n=0,r=0;r<SE-1;r++)for(CE[r]=n,e=0;e<1<<yC[r];e++)xg[n++]=r;for(xg[n-1]=r,i=0,r=0;r<16;r++)for(Wv[r]=i,e=0;e<1<<R0[r];e++)wg[i++]=r;for(i>>=7;r<cf;r++)for(Wv[r]=i<<7,e=0;e<1<<R0[r]-7;e++)wg[256+i++]=r;for(t=0;t<=oc;t++)o[t]=0;for(e=0;e<=143;)Ba[e*2+1]=8,e++,o[8]++;for(;e<=255;)Ba[e*2+1]=9,e++,o[9]++;for(;e<=279;)Ba[e*2+1]=7,e++,o[7]++;for(;e<=287;)Ba[e*2+1]=8,e++,o[8]++;for(qD(Ba,Sg+1,o),e=0;e<cf;e++)Sp[e*2+1]=5,Sp[e*2]=HD(e,5);UD=new $2(Ba,yC,Cm+1,Sg,oc),jD=new $2(Sp,R0,0,cf,oc),VD=new $2(new Array(0),wie,0,wE,Sie)},WD=e=>{let t;for(t=0;t<Sg;t++)e.dyn_ltree[t*2]=0;for(t=0;t<cf;t++)e.dyn_dtree[t*2]=0;for(t=0;t<wE;t++)e.bl_tree[t*2]=0;e.dyn_ltree[xE*2]=1,e.opt_len=e.static_len=0,e.sym_next=e.matches=0},KD=e=>{e.bi_valid>8?Cg(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},tP=(e,t,n,r)=>{const i=t*2,o=n*2;return e[i]<e[o]||e[i]===e[o]&&r[t]<=r[n]},B2=(e,t,n)=>{const r=e.heap[n];let i=n<<1;for(;i<=e.heap_len&&(i<e.heap_len&&tP(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!tP(t,r,e.heap[i],e.depth));)e.heap[n]=e.heap[i],n=i,i<<=1;e.heap[n]=r},nP=(e,t,n)=>{let r,i,o=0,s,a;if(e.sym_next!==0)do r=e.pending_buf[e.sym_buf+o++]&255,r+=(e.pending_buf[e.sym_buf+o++]&255)<<8,i=e.pending_buf[e.sym_buf+o++],r===0?Js(e,i,t):(s=xg[i],Js(e,s+Cm+1,t),a=yC[s],a!==0&&(i-=CE[s],lo(e,i,a)),r--,s=GD(r),Js(e,s,n),a=R0[s],a!==0&&(r-=Wv[s],lo(e,r,a)));while(o<e.sym_next);Js(e,xE,t)},vC=(e,t)=>{const n=t.dyn_tree,r=t.stat_desc.static_tree,i=t.stat_desc.has_stree,o=t.stat_desc.elems;let s,a,l=-1,u;for(e.heap_len=0,e.heap_max=LD,s=0;s<o;s++)n[s*2]!==0?(e.heap[++e.heap_len]=l=s,e.depth[s]=0):n[s*2+1]=0;for(;e.heap_len<2;)u=e.heap[++e.heap_len]=l<2?++l:0,n[u*2]=1,e.depth[u]=0,e.opt_len--,i&&(e.static_len-=r[u*2+1]);for(t.max_code=l,s=e.heap_len>>1;s>=1;s--)B2(e,n,s);u=o;do s=e.heap[1],e.heap[1]=e.heap[e.heap_len--],B2(e,n,1),a=e.heap[1],e.heap[--e.heap_max]=s,e.heap[--e.heap_max]=a,n[u*2]=n[s*2]+n[a*2],e.depth[u]=(e.depth[s]>=e.depth[a]?e.depth[s]:e.depth[a])+1,n[s*2+1]=n[a*2+1]=u,e.heap[1]=u++,B2(e,n,1);while(e.heap_len>=2);e.heap[--e.heap_max]=e.heap[1],Eie(e,t),qD(n,l,e.bl_count)},rP=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),t[(n+1)*2+1]=65535,r=0;r<=n;r++)o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)&&(a<u?e.bl_tree[o*2]+=a:o!==0?(o!==i&&e.bl_tree[o*2]++,e.bl_tree[$D*2]++):a<=10?e.bl_tree[FD*2]++:e.bl_tree[BD*2]++,a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4))},iP=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),r=0;r<=n;r++)if(o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)){if(a<u)do Js(e,o,e.bl_tree);while(--a!==0);else o!==0?(o!==i&&(Js(e,o,e.bl_tree),a--),Js(e,$D,e.bl_tree),lo(e,a-3,2)):a<=10?(Js(e,FD,e.bl_tree),lo(e,a-3,3)):(Js(e,BD,e.bl_tree),lo(e,a-11,7));a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4)}},Aie=e=>{let t;for(rP(e,e.dyn_ltree,e.l_desc.max_code),rP(e,e.dyn_dtree,e.d_desc.max_code),vC(e,e.bl_desc),t=wE-1;t>=3&&e.bl_tree[zD[t]*2+1]===0;t--);return e.opt_len+=3*(t+1)+5+5+4,t},kie=(e,t,n,r)=>{let i;for(lo(e,t-257,5),lo(e,n-1,5),lo(e,r-4,4),i=0;i<r;i++)lo(e,e.bl_tree[zD[i]*2+1],3);iP(e,e.dyn_ltree,t-1),iP(e,e.dyn_dtree,n-1)},Pie=e=>{let t=4093624447,n;for(n=0;n<=31;n++,t>>>=1)if(t&1&&e.dyn_ltree[n*2]!==0)return Jk;if(e.dyn_ltree[9*2]!==0||e.dyn_ltree[10*2]!==0||e.dyn_ltree[13*2]!==0)return eP;for(n=32;n<Cm;n++)if(e.dyn_ltree[n*2]!==0)return eP;return Jk};let oP=!1;const Rie=e=>{oP||(Tie(),oP=!0),e.l_desc=new F2(e.dyn_ltree,UD),e.d_desc=new F2(e.dyn_dtree,jD),e.bl_desc=new F2(e.bl_tree,VD),e.bi_buf=0,e.bi_valid=0,WD(e)},XD=(e,t,n,r)=>{lo(e,(yie<<1)+(r?1:0),3),KD(e),Cg(e,n),Cg(e,~n),n&&e.pending_buf.set(e.window.subarray(t,t+n),e.pending),e.pending+=n},Oie=e=>{lo(e,DD<<1,3),Js(e,xE,Ba),Cie(e)},Iie=(e,t,n,r)=>{let i,o,s=0;e.level>0?(e.strm.data_type===mie&&(e.strm.data_type=Pie(e)),vC(e,e.l_desc),vC(e,e.d_desc),s=Aie(e),i=e.opt_len+3+7>>>3,o=e.static_len+3+7>>>3,o<=i&&(i=o)):i=o=n+5,n+4<=i&&t!==-1?XD(e,t,n,r):e.strategy===gie||o===i?(lo(e,(DD<<1)+(r?1:0),3),nP(e,Ba,Sp)):(lo(e,(vie<<1)+(r?1:0),3),kie(e,e.l_desc.max_code+1,e.d_desc.max_code+1,s+1),nP(e,e.dyn_ltree,e.dyn_dtree)),WD(e),r&&KD(e)},Mie=(e,t,n)=>(e.pending_buf[e.sym_buf+e.sym_next++]=t,e.pending_buf[e.sym_buf+e.sym_next++]=t>>8,e.pending_buf[e.sym_buf+e.sym_next++]=n,t===0?e.dyn_ltree[n*2]++:(e.matches++,t--,e.dyn_ltree[(xg[n]+Cm+1)*2]++,e.dyn_dtree[GD(t)*2]++),e.sym_next===e.sym_end);var Nie=Rie,Die=XD,Lie=Iie,$ie=Mie,Fie=Oie,Bie={_tr_init:Nie,_tr_stored_block:Die,_tr_flush_block:Lie,_tr_tally:$ie,_tr_align:Fie};const zie=(e,t,n,r)=>{let i=e&65535|0,o=e>>>16&65535|0,s=0;for(;n!==0;){s=n>2e3?2e3:n,n-=s;do i=i+t[r++]|0,o=o+i|0;while(--s);i%=65521,o%=65521}return i|o<<16|0};var Eg=zie;const Uie=()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},jie=new Uint32Array(Uie()),Vie=(e,t,n,r)=>{const i=jie,o=r+n;e^=-1;for(let s=r;s<o;s++)e=e>>>8^i[(e^t[s])&255];return e^-1};var Yr=Vie,Ff={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"},Em={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:Gie,_tr_stored_block:_C,_tr_flush_block:Hie,_tr_tally:eu,_tr_align:qie}=Bie,{Z_NO_FLUSH:tu,Z_PARTIAL_FLUSH:Wie,Z_FULL_FLUSH:Kie,Z_FINISH:Xo,Z_BLOCK:sP,Z_OK:mi,Z_STREAM_END:aP,Z_STREAM_ERROR:ua,Z_DATA_ERROR:Xie,Z_BUF_ERROR:z2,Z_DEFAULT_COMPRESSION:Qie,Z_FILTERED:Yie,Z_HUFFMAN_ONLY:Ty,Z_RLE:Zie,Z_FIXED:Jie,Z_DEFAULT_STRATEGY:eoe,Z_UNKNOWN:toe,Z_DEFLATED:L_}=Em,noe=9,roe=15,ioe=8,ooe=29,soe=256,bC=soe+1+ooe,aoe=30,loe=19,uoe=2*bC+1,coe=15,Nt=3,Vl=258,ca=Vl+Nt+1,doe=32,Bf=42,EE=57,SC=69,wC=73,xC=91,CC=103,sc=113,tp=666,qi=1,ah=2,Pc=3,lh=4,foe=3,ac=(e,t)=>(e.msg=Ff[t],t),lP=e=>e*2-(e>4?9:0),Ll=e=>{let t=e.length;for(;--t>=0;)e[t]=0},hoe=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let poe=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask,nu=poe;const xo=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},Po=(e,t)=>{Hie(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,xo(e.strm)},Qt=(e,t)=>{e.pending_buf[e.pending++]=t},Mh=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},EC=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=Eg(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Yr(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},QD=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-ca?e.strstart-(e.w_size-ca):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+Vl;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&r<f);if(o=Vl-(f-r),r=f-Vl,o>s){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},zf=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-ca)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),hoe(e),r+=t),e.strm.avail_in===0)break;if(n=EC(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=Nt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=nu(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=nu(e,e.ins_h,e.window[i+Nt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<Nt)););}while(e.lookahead<ca&&e.strm.avail_in!==0)},YD=(e,t)=>{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_out<o||(o=e.strm.avail_out-o,i=e.strstart-e.block_start,r>i+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r<n&&(r===0&&t!==Xo||t===tu||r!==i+e.strm.avail_in)))break;s=t===Xo&&r===i+e.strm.avail_in?1:0,_C(e,0,0,s),e.pending_buf[e.pending-4]=r,e.pending_buf[e.pending-3]=r>>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,xo(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(EC(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),s?lh:t!==tu&&t!==Xo&&e.strm.avail_in===0&&e.strstart===e.block_start?ah:(o=e.window_size-e.strstart,e.strm.avail_in>o&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(EC(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water<e.strstart&&(e.high_water=e.strstart),o=e.bi_valid+42>>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Xo)&&t!==tu&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Xo&&e.strm.avail_in===0&&r===i?1:0,_C(e,e.block_start,r,s),e.block_start+=r,xo(e.strm)),s?Pc:qi)},U2=(e,t)=>{let n,r;for(;;){if(e.lookahead<ca){if(zf(e),e.lookahead<ca&&t===tu)return qi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Nt&&(e.ins_h=nu(e,e.ins_h,e.window[e.strstart+Nt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-ca&&(e.match_length=QD(e,n)),e.match_length>=Nt)if(r=eu(e,e.strstart-e.match_start,e.match_length-Nt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=Nt){e.match_length--;do e.strstart++,e.ins_h=nu(e,e.ins_h,e.window[e.strstart+Nt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=nu(e,e.ins_h,e.window[e.strstart+1]);else r=eu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(Po(e,!1),e.strm.avail_out===0))return qi}return e.insert=e.strstart<Nt-1?e.strstart:Nt-1,t===Xo?(Po(e,!0),e.strm.avail_out===0?Pc:lh):e.sym_next&&(Po(e,!1),e.strm.avail_out===0)?qi:ah},dd=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<ca){if(zf(e),e.lookahead<ca&&t===tu)return qi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Nt&&(e.ins_h=nu(e,e.ins_h,e.window[e.strstart+Nt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=Nt-1,n!==0&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-ca&&(e.match_length=QD(e,n),e.match_length<=5&&(e.strategy===Yie||e.match_length===Nt&&e.strstart-e.match_start>4096)&&(e.match_length=Nt-1)),e.prev_length>=Nt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-Nt,r=eu(e,e.strstart-1-e.prev_match,e.prev_length-Nt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=nu(e,e.ins_h,e.window[e.strstart+Nt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=Nt-1,e.strstart++,r&&(Po(e,!1),e.strm.avail_out===0))return qi}else if(e.match_available){if(r=eu(e,0,e.window[e.strstart-1]),r&&Po(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return qi}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=eu(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<Nt-1?e.strstart:Nt-1,t===Xo?(Po(e,!0),e.strm.avail_out===0?Pc:lh):e.sym_next&&(Po(e,!1),e.strm.avail_out===0)?qi:ah},goe=(e,t)=>{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=Vl){if(zf(e),e.lookahead<=Vl&&t===tu)return qi;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=Nt&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+Vl;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&i<o);e.match_length=Vl-(o-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=Nt?(n=eu(e,1,e.match_length-Nt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=eu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(Po(e,!1),e.strm.avail_out===0))return qi}return e.insert=0,t===Xo?(Po(e,!0),e.strm.avail_out===0?Pc:lh):e.sym_next&&(Po(e,!1),e.strm.avail_out===0)?qi:ah},moe=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(zf(e),e.lookahead===0)){if(t===tu)return qi;break}if(e.match_length=0,n=eu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(Po(e,!1),e.strm.avail_out===0))return qi}return e.insert=0,t===Xo?(Po(e,!0),e.strm.avail_out===0?Pc:lh):e.sym_next&&(Po(e,!1),e.strm.avail_out===0)?qi:ah};function Vs(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const np=[new Vs(0,0,0,0,YD),new Vs(4,4,8,4,U2),new Vs(4,5,16,8,U2),new Vs(4,6,32,32,U2),new Vs(4,4,16,16,dd),new Vs(8,16,32,32,dd),new Vs(8,16,128,128,dd),new Vs(8,32,128,256,dd),new Vs(32,128,258,1024,dd),new Vs(32,258,258,4096,dd)],yoe=e=>{e.window_size=2*e.w_size,Ll(e.head),e.max_lazy_match=np[e.level].max_lazy,e.good_match=np[e.level].good_length,e.nice_match=np[e.level].nice_length,e.max_chain_length=np[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=Nt-1,e.match_available=0,e.ins_h=0};function voe(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=L_,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(uoe*2),this.dyn_dtree=new Uint16Array((2*aoe+1)*2),this.bl_tree=new Uint16Array((2*loe+1)*2),Ll(this.dyn_ltree),Ll(this.dyn_dtree),Ll(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(coe+1),this.heap=new Uint16Array(2*bC+1),Ll(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*bC+1),Ll(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const Tm=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==Bf&&t.status!==EE&&t.status!==SC&&t.status!==wC&&t.status!==xC&&t.status!==CC&&t.status!==sc&&t.status!==tp?1:0},ZD=e=>{if(Tm(e))return ac(e,ua);e.total_in=e.total_out=0,e.data_type=toe;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?EE:t.wrap?Bf:sc,e.adler=t.wrap===2?0:1,t.last_flush=-2,Gie(t),mi},JD=e=>{const t=ZD(e);return t===mi&&yoe(e.state),t},_oe=(e,t)=>Tm(e)||e.state.wrap!==2?ua:(e.state.gzhead=t,mi),eL=(e,t,n,r,i,o)=>{if(!e)return ua;let s=1;if(t===Qie&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>noe||n!==L_||r<8||r>15||t<0||t>9||o<0||o>Jie||r===8&&s!==1)return ac(e,ua);r===8&&(r=9);const a=new voe;return e.state=a,a.strm=e,a.status=Bf,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<<a.w_bits,a.w_mask=a.w_size-1,a.hash_bits=i+7,a.hash_size=1<<a.hash_bits,a.hash_mask=a.hash_size-1,a.hash_shift=~~((a.hash_bits+Nt-1)/Nt),a.window=new Uint8Array(a.w_size*2),a.head=new Uint16Array(a.hash_size),a.prev=new Uint16Array(a.w_size),a.lit_bufsize=1<<i+6,a.pending_buf_size=a.lit_bufsize*4,a.pending_buf=new Uint8Array(a.pending_buf_size),a.sym_buf=a.lit_bufsize,a.sym_end=(a.lit_bufsize-1)*3,a.level=t,a.strategy=o,a.method=n,JD(e)},boe=(e,t)=>eL(e,t,L_,roe,ioe,eoe),Soe=(e,t)=>{if(Tm(e)||t>sP||t<0)return e?ac(e,ua):ua;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===tp&&t!==Xo)return ac(e,e.avail_out===0?z2:ua);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(xo(e),e.avail_out===0)return n.last_flush=-1,mi}else if(e.avail_in===0&&lP(t)<=lP(r)&&t!==Xo)return ac(e,z2);if(n.status===tp&&e.avail_in!==0)return ac(e,z2);if(n.status===Bf&&n.wrap===0&&(n.status=sc),n.status===Bf){let i=L_+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=Ty||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=doe),i+=31-i%31,Mh(n,i),n.strstart!==0&&(Mh(n,e.adler>>>16),Mh(n,e.adler&65535)),e.adler=1,n.status=sc,xo(e),n.pending!==0)return n.last_flush=-1,mi}if(n.status===EE){if(e.adler=0,Qt(n,31),Qt(n,139),Qt(n,8),n.gzhead)Qt(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),Qt(n,n.gzhead.time&255),Qt(n,n.gzhead.time>>8&255),Qt(n,n.gzhead.time>>16&255),Qt(n,n.gzhead.time>>24&255),Qt(n,n.level===9?2:n.strategy>=Ty||n.level<2?4:0),Qt(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(Qt(n,n.gzhead.extra.length&255),Qt(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Yr(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=SC;else if(Qt(n,0),Qt(n,0),Qt(n,0),Qt(n,0),Qt(n,0),Qt(n,n.level===9?2:n.strategy>=Ty||n.level<2?4:0),Qt(n,foe),n.status=sc,xo(e),n.pending!==0)return n.last_flush=-1,mi}if(n.status===SC){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let a=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+a),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=Yr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=a,xo(e),n.pending!==0)return n.last_flush=-1,mi;i=0,o-=a}let s=new Uint8Array(n.gzhead.extra);n.pending_buf.set(s.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=Yr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=wC}if(n.status===wC){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Yr(e.adler,n.pending_buf,n.pending-i,i)),xo(e),n.pending!==0)return n.last_flush=-1,mi;i=0}n.gzindex<n.gzhead.name.length?o=n.gzhead.name.charCodeAt(n.gzindex++)&255:o=0,Qt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Yr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=xC}if(n.status===xC){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Yr(e.adler,n.pending_buf,n.pending-i,i)),xo(e),n.pending!==0)return n.last_flush=-1,mi;i=0}n.gzindex<n.gzhead.comment.length?o=n.gzhead.comment.charCodeAt(n.gzindex++)&255:o=0,Qt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Yr(e.adler,n.pending_buf,n.pending-i,i))}n.status=CC}if(n.status===CC){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(xo(e),n.pending!==0))return n.last_flush=-1,mi;Qt(n,e.adler&255),Qt(n,e.adler>>8&255),e.adler=0}if(n.status=sc,xo(e),n.pending!==0)return n.last_flush=-1,mi}if(e.avail_in!==0||n.lookahead!==0||t!==tu&&n.status!==tp){let i=n.level===0?YD(n,t):n.strategy===Ty?moe(n,t):n.strategy===Zie?goe(n,t):np[n.level].func(n,t);if((i===Pc||i===lh)&&(n.status=tp),i===qi||i===Pc)return e.avail_out===0&&(n.last_flush=-1),mi;if(i===ah&&(t===Wie?qie(n):t!==sP&&(_C(n,0,0,!1),t===Kie&&(Ll(n.head),n.lookahead===0&&(n.strstart=0,n.block_start=0,n.insert=0))),xo(e),e.avail_out===0))return n.last_flush=-1,mi}return t!==Xo?mi:n.wrap<=0?aP:(n.wrap===2?(Qt(n,e.adler&255),Qt(n,e.adler>>8&255),Qt(n,e.adler>>16&255),Qt(n,e.adler>>24&255),Qt(n,e.total_in&255),Qt(n,e.total_in>>8&255),Qt(n,e.total_in>>16&255),Qt(n,e.total_in>>24&255)):(Mh(n,e.adler>>>16),Mh(n,e.adler&65535)),xo(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?mi:aP)},woe=e=>{if(Tm(e))return ua;const t=e.state.status;return e.state=null,t===sc?ac(e,Xie):mi},xoe=(e,t)=>{let n=t.length;if(Tm(e))return ua;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==Bf||r.lookahead)return 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n=wp.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==Kv)throw new Error(Ff[n]);if(t.header&&wp.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=Ag.string2buf(t.dictionary):rL.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=wp.deflateSetDictionary(this.strm,r),n!==Kv)throw new Error(Ff[n]);this._dict_set=!0}}TE.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?Goe:Uoe,typeof e=="string"?n.input=Ag.string2buf(e):rL.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===joe||o===Voe)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=wp.deflate(n,o),i===Hoe)return 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1;S=y&w,i[S]=h<<24|p<<16|x-o|0}}return y!==0&&(i[x+y]=u-m<<24|64<<16|0),a.bits=h,0};var xp=tse;const nse=0,iL=1,oL=2,{Z_FINISH:hP,Z_BLOCK:rse,Z_TREES:ky,Z_OK:Rc,Z_STREAM_END:ise,Z_NEED_DICT:ose,Z_STREAM_ERROR:rs,Z_DATA_ERROR:sL,Z_MEM_ERROR:aL,Z_BUF_ERROR:sse,Z_DEFLATED:pP}=Em,F_=16180,gP=16181,mP=16182,yP=16183,vP=16184,_P=16185,bP=16186,SP=16187,wP=16188,xP=16189,Xv=16190,Aa=16191,V2=16192,CP=16193,G2=16194,EP=16195,TP=16196,AP=16197,kP=16198,Py=16199,Ry=16200,PP=16201,RP=16202,OP=16203,IP=16204,MP=16205,H2=16206,NP=16207,DP=16208,Gn=16209,lL=16210,uL=16211,ase=852,lse=592,use=15,cse=use,LP=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function dse(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const qc=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.mode<F_||t.mode>uL?1:0},cL=e=>{if(qc(e))return rs;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=F_,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(ase),t.distcode=t.distdyn=new Int32Array(lse),t.sane=1,t.back=-1,Rc},dL=e=>{if(qc(e))return rs;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,cL(e)},fL=(e,t)=>{let n;if(qc(e))return rs;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?rs:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,dL(e))},hL=(e,t)=>{if(!e)return rs;const n=new dse;e.state=n,n.strm=e,n.window=null,n.mode=F_;const r=fL(e,t);return r!==Rc&&(e.state=null),r},fse=e=>hL(e,cse);let $P=!0,q2,W2;const hse=e=>{if($P){q2=new Int32Array(512),W2=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(xp(iL,e.lens,0,288,q2,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;xp(oL,e.lens,0,32,W2,0,e.work,{bits:5}),$P=!1}e.lencode=q2,e.lenbits=9,e.distcode=W2,e.distbits=5},pL=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new Uint8Array(o.wsize)),r>=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=i))),0},pse=(e,t)=>{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,y,g,v,S,w,x,C;const A=new Uint8Array(4);let T,k;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(qc(e)||!e.output||!e.input&&e.avail_in!==0)return rs;n=e.state,n.mode===Aa&&(n.mode=V2),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,C=Rc;e:for(;;)switch(n.mode){case F_:if(n.wrap===0){n.mode=V2;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&2&&u===35615){n.wbits===0&&(n.wbits=15),n.check=0,A[0]=u&255,A[1]=u>>>8&255,n.check=Yr(n.check,A,2,0),u=0,c=0,n.mode=gP;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Gn;break}if((u&15)!==pP){e.msg="unknown compression method",n.mode=Gn;break}if(u>>>=4,c-=4,x=(u&15)+8,n.wbits===0&&(n.wbits=x),x>15||x>n.wbits){e.msg="invalid window size",n.mode=Gn;break}n.dmax=1<<n.wbits,n.flags=0,e.adler=n.check=1,n.mode=u&512?xP:Aa,u=0,c=0;break;case gP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.flags=u,(n.flags&255)!==pP){e.msg="unknown compression method",n.mode=Gn;break}if(n.flags&57344){e.msg="unknown header flags set",n.mode=Gn;break}n.head&&(n.head.text=u>>8&1),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Yr(n.check,A,2,0)),u=0,c=0,n.mode=mP;case mP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.time=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,A[2]=u>>>16&255,A[3]=u>>>24&255,n.check=Yr(n.check,A,4,0)),u=0,c=0,n.mode=yP;case yP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.xflags=u&255,n.head.os=u>>8),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Yr(n.check,A,2,0)),u=0,c=0,n.mode=vP;case vP:if(n.flags&1024){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length=u,n.head&&(n.head.extra_len=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Yr(n.check,A,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=_P;case _P:if(n.flags&1024&&(h=n.length,h>a&&(h=a),h&&(n.head&&(x=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),x)),n.flags&512&&n.wrap&4&&(n.check=Yr(n.check,r,h,o)),a-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=bP;case bP:if(n.flags&2048){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.name+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Yr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=SP;case SP:if(n.flags&4096){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.comment+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Yr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.comment=null);n.mode=wP;case wP:if(n.flags&512){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.check&65535)){e.msg="header crc mismatch",n.mode=Gn;break}u=0,c=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=Aa;break;case xP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}e.adler=n.check=LP(u),u=0,c=0,n.mode=Xv;case Xv:if(n.havedict===0)return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,ose;e.adler=n.check=1,n.mode=Aa;case Aa:if(t===rse||t===ky)break e;case V2:if(n.last){u>>>=c&7,c-=c&7,n.mode=H2;break}for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}switch(n.last=u&1,u>>>=1,c-=1,u&3){case 0:n.mode=CP;break;case 1:if(hse(n),n.mode=Py,t===ky){u>>>=2,c-=2;break e}break;case 2:n.mode=TP;break;case 3:e.msg="invalid block type",n.mode=Gn}u>>>=2,c-=2;break;case CP:for(u>>>=c&7,c-=c&7;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if((u&65535)!==(u>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Gn;break}if(n.length=u&65535,u=0,c=0,n.mode=G2,t===ky)break e;case G2:n.mode=EP;case EP:if(h=n.length,h){if(h>a&&(h=a),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),s),a-=h,o+=h,l-=h,s+=h,n.length-=h;break}n.mode=Aa;break;case TP:for(;c<14;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.nlen=(u&31)+257,u>>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Gn;break}n.have=0,n.mode=AP;case AP:for(;n.have<n.ncode;){for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.lens[L[n.have++]]=u&7,u>>>=3,c-=3}for(;n.have<19;)n.lens[L[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},C=xp(nse,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,C){e.msg="invalid code lengths set",n.mode=Gn;break}n.have=0,n.mode=kP;case kP:for(;n.have<n.nlen+n.ndist;){for(;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(g<16)u>>>=_,c-=_,n.lens[n.have++]=g;else{if(g===16){for(k=_+2;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(u>>>=_,c-=_,n.have===0){e.msg="invalid bit length repeat",n.mode=Gn;break}x=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(k=_+3;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=3+(u&7),u>>>=3,c-=3}else{for(k=_+7;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Gn;break}for(;h--;)n.lens[n.have++]=x}}if(n.mode===Gn)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Gn;break}if(n.lenbits=9,T={bits:n.lenbits},C=xp(iL,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,C){e.msg="invalid literal/lengths set",n.mode=Gn;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},C=xp(oL,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,C){e.msg="invalid distances set",n.mode=Gn;break}if(n.mode=Py,t===ky)break e;case Py:n.mode=Ry;case Ry:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Qoe(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===Aa&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(y&&!(y&240)){for(v=_,S=y,w=g;b=n.lencode[w+((u&(1<<v+S)-1)>>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,n.length=g,y===0){n.mode=MP;break}if(y&32){n.back=-1,n.mode=Aa;break}if(y&64){e.msg="invalid literal/length code",n.mode=Gn;break}n.extra=y&15,n.mode=PP;case PP:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=RP;case RP:for(;b=n.distcode[u&(1<<n.distbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(!(y&240)){for(v=_,S=y,w=g;b=n.distcode[w+((u&(1<<v+S)-1)>>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,y&64){e.msg="invalid distance code",n.mode=Gn;break}n.offset=g,n.extra=y&15,n.mode=OP;case OP:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.offset+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Gn;break}n.mode=IP;case IP:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Gn;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=s-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[s++]=m[p++];while(--h);n.length===0&&(n.mode=Ry);break;case MP:if(l===0)break e;i[s++]=n.length,l--,n.mode=Ry;break;case H2:if(n.wrap){for(;c<32;){if(a===0)break e;a--,u|=r[o++]<<c,c+=8}if(f-=l,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Yr(n.check,i,f,s-f):Eg(n.check,i,f,s-f)),f=l,n.wrap&4&&(n.flags?u:LP(u))!==n.check){e.msg="incorrect data check",n.mode=Gn;break}u=0,c=0}n.mode=NP;case NP:if(n.wrap&&n.flags){for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.total&4294967295)){e.msg="incorrect length check",n.mode=Gn;break}u=0,c=0}n.mode=DP;case DP:C=ise;break e;case Gn:C=sL;break e;case lL:return aL;case uL:default:return rs}return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,(n.wsize||f!==e.avail_out&&n.mode<Gn&&(n.mode<H2||t!==hP))&&pL(e,e.output,e.next_out,f-e.avail_out),d-=e.avail_in,f-=e.avail_out,e.total_in+=d,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Yr(n.check,i,f,e.next_out-f):Eg(n.check,i,f,e.next_out-f)),e.data_type=n.bits+(n.last?64:0)+(n.mode===Aa?128:0)+(n.mode===Py||n.mode===G2?256:0),(d===0&&f===0||t===hP)&&C===Rc&&(C=sse),C},gse=e=>{if(qc(e))return rs;let t=e.state;return t.window&&(t.window=null),e.state=null,Rc},mse=(e,t)=>{if(qc(e))return rs;const n=e.state;return n.wrap&2?(n.head=t,t.done=!1,Rc):rs},yse=(e,t)=>{const n=t.length;let r,i,o;return qc(e)||(r=e.state,r.wrap!==0&&r.mode!==Xv)?rs:r.mode===Xv&&(i=1,i=Eg(i,t,n,0),i!==r.check)?sL:(o=pL(e,t,n,n),o?(r.mode=lL,aL):(r.havedict=1,Rc))};var vse=dL,_se=fL,bse=cL,Sse=fse,wse=hL,xse=pse,Cse=gse,Ese=mse,Tse=yse,Ase="pako inflate (from Nodeca project)",za={inflateReset:vse,inflateReset2:_se,inflateResetKeep:bse,inflateInit:Sse,inflateInit2:wse,inflate:xse,inflateEnd:Cse,inflateGetHeader:Ese,inflateSetDictionary:Tse,inflateInfo:Ase};function kse(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}var Pse=kse;const gL=Object.prototype.toString,{Z_NO_FLUSH:Rse,Z_FINISH:Ose,Z_OK:kg,Z_STREAM_END:K2,Z_NEED_DICT:X2,Z_STREAM_ERROR:Ise,Z_DATA_ERROR:FP,Z_MEM_ERROR:Mse}=Em;function Am(e){this.options=$_.assign({chunkSize:1024*64,windowBits:15,to:""},e||{});const t=this.options;t.raw&&t.windowBits>=0&&t.windowBits<16&&(t.windowBits=-t.windowBits,t.windowBits===0&&(t.windowBits=-15)),t.windowBits>=0&&t.windowBits<16&&!(e&&e.windowBits)&&(t.windowBits+=32),t.windowBits>15&&t.windowBits<48&&(t.windowBits&15||(t.windowBits|=15)),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new nL,this.strm.avail_out=0;let n=za.inflateInit2(this.strm,t.windowBits);if(n!==kg)throw new Error(Ff[n]);if(this.header=new Pse,za.inflateGetHeader(this.strm,this.header),t.dictionary&&(typeof t.dictionary=="string"?t.dictionary=Ag.string2buf(t.dictionary):gL.call(t.dictionary)==="[object ArrayBuffer]"&&(t.dictionary=new Uint8Array(t.dictionary)),t.raw&&(n=za.inflateSetDictionary(this.strm,t.dictionary),n!==kg)))throw new Error(Ff[n])}Am.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize,i=this.options.dictionary;let o,s,a;if(this.ended)return!1;for(t===~~t?s=t:s=t===!0?Ose:Rse,gL.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){for(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),o=za.inflate(n,s),o===X2&&i&&(o=za.inflateSetDictionary(n,i),o===kg?o=za.inflate(n,s):o===FP&&(o=X2));n.avail_in>0&&o===K2&&n.state.wrap>0&&e[n.next_in]!==0;)za.inflateReset(n),o=za.inflate(n,s);switch(o){case Ise:case FP:case X2:case Mse:return this.onEnd(o),this.ended=!0,!1}if(a=n.avail_out,n.next_out&&(n.avail_out===0||o===K2))if(this.options.to==="string"){let l=Ag.utf8border(n.output,n.next_out),u=n.next_out-l,c=Ag.buf2string(n.output,l);n.next_out=u,n.avail_out=r-u,u&&n.output.set(n.output.subarray(l,l+u),0),this.onData(c)}else this.onData(n.output.length===n.next_out?n.output:n.output.subarray(0,n.next_out));if(!(o===kg&&a===0)){if(o===K2)return 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T=f.payload,x=T.queryCacheKey,C=T.requestId;return d[x]&&delete d[x][C],!0}if(t.internalActions.removeQueryResult.match(f))return delete d[f.payload.queryCacheKey],!0;if(n.pending.match(f)){var k=f.meta,L=k.arg,C=k.requestId;if(L.subscribe){var N=(m=d[p=L.queryCacheKey])!=null?m:d[p]={};return N[C]=(_=(b=L.subscriptionOptions)!=null?b:N[C])!=null?_:{},!0}}if(n.rejected.match(f)){var E=f.meta,P=E.condition,L=E.arg,C=E.requestId;if(P&&L.subscribe){var N=(g=d[y=L.queryCacheKey])!=null?g:d[y]={};return N[C]=(S=(v=L.subscriptionOptions)!=null?v:N[C])!=null?S:{},!0}}return!1};return function(d,f){var h,p;if(o||(o=JSON.parse(JSON.stringify(r.currentSubscriptions))),t.util.resetApiState.match(d))return o=r.currentSubscriptions={},[!0,!1];if(t.internalActions.internal_probeSubscription.match(d)){var m=d.payload,b=m.queryCacheKey,_=m.requestId,y=!!((h=r.currentSubscriptions[b])!=null&&h[_]);return[!1,y]}var g=c(r.currentSubscriptions,d);if(g){s||(Lue(function(){var 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Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(_=>{if(this.isValidLookup(r))return;s=_;const y=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(y,c,_,b,n);else{let v;f&&(v=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(y.push(c+v),n.ordinal&&v.indexOf(w)===0&&y.push(c+v.replace(w,this.options.pluralSeparator)),h&&y.push(c+S)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;y.push(x),f&&(y.push(x+v),n.ordinal&&v.indexOf(w)===0&&y.push(x+v.replace(w,this.options.pluralSeparator)),h&&y.push(x+S))}}let g;for(;g=y.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function lw(e){return e.charAt(0).toUpperCase()+e.slice(1)}class A6{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=ra.create("languageUtils")}getScriptPartFromCode(t){if(t=c1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=c1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=lw(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=lw(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=lw(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let pde=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],gde={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const mde=["v1","v2","v3"],yde=["v4"],k6={zero:0,one:1,two:2,few:3,many:4,other:5};function vde(){const e={};return pde.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:gde[t.fc]}})}),e}class _de{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=ra.create("pluralResolver"),(!this.options.compatibilityJSON||yde.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=vde()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(c1(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>k6[i]-k6[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!mde.includes(this.options.compatibilityJSON)}}function P6(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=ude(e,t,n);return!o&&i&&typeof n=="string"&&(o=u1(e,n,r),o===void 0&&(o=u1(t,n,r))),o}class bde{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=ra.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:dde,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?pd(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?pd(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?pd(n.nestingPrefix):n.nestingPrefixEscaped||pd("$t("),this.nestingSuffix=n.nestingSuffix?pd(n.nestingSuffix):n.nestingSuffixEscaped||pd(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(p){return p.replace(/\$/g,"$$$$")}const c=p=>{if(p.indexOf(this.formatSeparator)<0){const y=P6(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(y,void 0,r,{...i,...n,interpolationkey:p}):y}const m=p.split(this.formatSeparator),b=m.shift().trim(),_=m.join(this.formatSeparator).trim();return this.format(P6(n,l,b,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:b})};this.resetRegExp();const d=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,f=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:p=>u(p)},{regex:this.regexp,safeValue:p=>this.escapeValue?u(this.escape(p)):u(p)}].forEach(p=>{for(a=0;o=p.regex.exec(t);){const m=o[1].trim();if(s=c(m),s===void 0)if(typeof d=="function"){const _=d(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,m))s="";else if(f){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${m} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=x6(s));const b=p.safeValue(s);if(t=t.replace(o[0],b),f?(p.regex.lastIndex+=s.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${c}[ ]*{`));let f=`{${d[1]}`;l=d[0],f=this.interpolate(f,s);const h=f.match(/'/g),p=f.match(/"/g);(h&&h.length%2===0&&!p||p.length%2!==0)&&(f=f.replace(/'/g,'"'));try{s=JSON.parse(f),u&&(s={...u,...s})}catch(m){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,m),`${l}${c}${f}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const c=i[1].split(this.formatSeparator).map(d=>d.trim());i[1]=c.shift(),l=c,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=x6(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function Sde(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function gd(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(c1(i),o),t[s]=a),a(r)}}class wde{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=ra.create("formatter"),this.options=t,this.formats={number:gd((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:gd((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:gd((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:gd((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:gd((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=gd(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=Sde(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function xde(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class Cde extends Ab{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=ra.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let c=!0;n.forEach(d=>{const f=`${u}|${d}`;!r.reload&&this.store.hasResourceBundle(u,d)?this.state[f]=2:this.state[f]<0||(this.state[f]===1?s[f]===void 0&&(s[f]=!0):(this.state[f]=1,c=!1,s[f]===void 0&&(s[f]=!0),o[f]===void 0&&(o[f]=!0),l[d]===void 0&&(l[d]=!0)))}),c||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{lde(l.loaded,[o],s),xde(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const c=l.loaded[u];c.length&&c.forEach(d=>{a[u][d]===void 0&&(a[u][d]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,c)=>{if(this.readingCalls--,this.waitingReads.length>0){const d=this.waitingReads.shift();this.read(d.lng,d.ns,d.fcName,d.tried,d.wait,d.callback)}if(u&&c&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,c)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(c=>a(null,c)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. 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You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>a(null,d)).catch(a):a(null,c)}catch(c){a(c)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function R6(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function O6(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Dy(){}function Ede(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Og extends Ab{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=O6(t),this.services={},this.logger=ra,this.modules={external:[]},Ede(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=R6();this.options={...i,...this.options,...O6(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?ra.init(o(this.modules.logger),this.options):ra.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=wde);const d=new A6(this.options);this.store=new E6(this.options.resources,this.options);const f=this.services;f.logger=ra,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new _de(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new bde(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new Cde(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&W$.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Dh();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([s,a].concat(c))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const f=i.options.keySeparator||".";let h;return l.keyPrefix&&Array.isArray(s)?h=s.map(p=>`${l.keyPrefix}${f}${p}`):h=l.keyPrefix?`${l.keyPrefix}${f}${s}`:s,i.t(h,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Dh();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Dh();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new A6(R6());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Og(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:Dy;const r=t.forkResourceStore;r&&delete t.forkResourceStore;const i={...this.options,...t,isClone:!0},o=new Og(i);return(t.debug!==void 0||t.prefix!==void 0)&&(o.logger=o.logger.clone(t)),["store","services","language"].forEach(a=>{o[a]=this[a]}),o.services={...this.services},o.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},r&&(o.store=new E6(this.store.data,i),o.services.resourceStore=o.store),o.translator=new d1(o.services,i),o.translator.on("*",function(a){for(var l=arguments.length,u=new Array(l>1?l-1:0),c=1;c<l;c++)u[c-1]=arguments[c];o.emit(a,...u)}),o.init(i,n),o.translator.options=i,o.translator.backendConnector.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},o}toJSON(){return{options:this.options,store:this.store,language:this.language,languages:this.languages,resolvedLanguage:this.resolvedLanguage}}}const gt=Og.createInstance();gt.createInstance=Og.createInstance;gt.createInstance;gt.dir;gt.init;gt.loadResources;gt.reloadResources;gt.use;gt.changeLanguage;gt.getFixedT;const Cp=gt.t;gt.exists;gt.setDefaultNamespace;gt.hasLoadedNamespace;gt.loadNamespaces;gt.loadLanguages;const Pd={none:{type:"none",get label(){return gt.t("controlnet.none")},get description(){return gt.t("controlnet.noneDescription")},default:{type:"none"}},canny_image_processor:{type:"canny_image_processor",get label(){return gt.t("controlnet.canny")},get description(){return gt.t("controlnet.cannyDescription")},default:{id:"canny_image_processor",type:"canny_image_processor",low_threshold:100,high_threshold:200}},content_shuffle_image_processor:{type:"content_shuffle_image_processor",get label(){return gt.t("controlnet.contentShuffle")},get description(){return gt.t("controlnet.contentShuffleDescription")},default:{id:"content_shuffle_image_processor",type:"content_shuffle_image_processor",detect_resolution:512,image_resolution:512,h:512,w:512,f:256}},hed_image_processor:{type:"hed_image_processor",get label(){return gt.t("controlnet.hed")},get description(){return gt.t("controlnet.hedDescription")},default:{id:"hed_image_processor",type:"hed_image_processor",detect_resolution:512,image_resolution:512,scribble:!1}},lineart_anime_image_processor:{type:"lineart_anime_image_processor",get label(){return gt.t("controlnet.lineartAnime")},get description(){return gt.t("controlnet.lineartAnimeDescription")},default:{id:"lineart_anime_image_processor",type:"lineart_anime_image_processor",detect_resolution:512,image_resolution:512}},lineart_image_processor:{type:"lineart_image_processor",get label(){return gt.t("controlnet.lineart")},get description(){return gt.t("controlnet.lineartDescription")},default:{id:"lineart_image_processor",type:"lineart_image_processor",detect_resolution:512,image_resolution:512,coarse:!1}},mediapipe_face_processor:{type:"mediapipe_face_processor",get label(){return gt.t("controlnet.mediapipeFace")},get description(){return gt.t("controlnet.mediapipeFaceDescription")},default:{id:"mediapipe_face_processor",type:"mediapipe_face_processor",max_faces:1,min_confidence:.5}},midas_depth_image_processor:{type:"midas_depth_image_processor",get label(){return gt.t("controlnet.depthMidas")},get description(){return gt.t("controlnet.depthMidasDescription")},default:{id:"midas_depth_image_processor",type:"midas_depth_image_processor",a_mult:2,bg_th:.1}},mlsd_image_processor:{type:"mlsd_image_processor",get label(){return gt.t("controlnet.mlsd")},get description(){return gt.t("controlnet.mlsdDescription")},default:{id:"mlsd_image_processor",type:"mlsd_image_processor",detect_resolution:512,image_resolution:512,thr_d:.1,thr_v:.1}},normalbae_image_processor:{type:"normalbae_image_processor",get label(){return gt.t("controlnet.normalBae")},get description(){return gt.t("controlnet.normalBaeDescription")},default:{id:"normalbae_image_processor",type:"normalbae_image_processor",detect_resolution:512,image_resolution:512}},openpose_image_processor:{type:"openpose_image_processor",get label(){return gt.t("controlnet.openPose")},get description(){return gt.t("controlnet.openPoseDescription")},default:{id:"openpose_image_processor",type:"openpose_image_processor",detect_resolution:512,image_resolution:512,hand_and_face:!1}},pidi_image_processor:{type:"pidi_image_processor",get label(){return gt.t("controlnet.pidi")},get description(){return gt.t("controlnet.pidiDescription")},default:{id:"pidi_image_processor",type:"pidi_image_processor",detect_resolution:512,image_resolution:512,scribble:!1,safe:!1}},zoe_depth_image_processor:{type:"zoe_depth_image_processor",get label(){return gt.t("controlnet.depthZoe")},get description(){return 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Look at Konva change log for more information.";o.prototype[u]=function(){t.Util.error(c);var d=this.attrs[s];return d===void 0?a:d},e.Factory.addSetter(o,s,l,function(){t.Util.error(c)}),e.Factory.addOverloadedGetterSetter(o,s)},backCompat(o,s){t.Util.each(s,function(a,l){var u=o.prototype[l],c=r+t.Util._capitalize(a),d=i+t.Util._capitalize(a);function f(){u.apply(this,arguments),t.Util.error('"'+a+'" method is deprecated and will be removed soon. Use ""'+l+'" instead.')}o.prototype[a]=f,o.prototype[c]=f,o.prototype[d]=f})},afterSetFilter(){this._filterUpToDate=!1}}})(Ct);var Is={},Xa={};Object.defineProperty(Xa,"__esModule",{value:!0});Xa.HitContext=Xa.SceneContext=Xa.Context=void 0;const ez=or,uve=Tt;function cve(e){var t=[],n=e.length,r=ez.Util,i,o;for(i=0;i<n;i++)o=e[i],r._isNumber(o)?o=Math.round(o*1e3)/1e3:r._isString(o)||(o=o+""),t.push(o);return t}var $8=",",dve="(",fve=")",hve="([",pve="])",gve=";",mve="()",yve="=",F8=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],vve=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const _ve=100;class Bb{constructor(t){this.canvas=t,uve.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",s,a,l,u;for(s=0;s<i;s++)a=r[s],l=a.method,l?(u=a.args,o+=l,t?o+=mve:ez.Util._isArray(u[0])?o+=hve+u.join($8)+pve:(n&&(u=u.map(c=>typeof c=="number"?Math.floor(c):c)),o+=dve+u.join($8)+fve)):(o+=a.property,t||(o+=yve+a.val)),o+=gve;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=_ve&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=F8.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=cve(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;i<n;i++)s(F8[i]);t.setAttr=function(){r.apply(t,arguments);var a=arguments[0],l=arguments[1];(a==="shadowOffsetX"||a==="shadowOffsetY"||a==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:a,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}Xa.Context=Bb;vve.forEach(function(e){Object.defineProperty(Bb.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class bve extends Bb{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),c=l.x*u,d=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(c),Math.abs(d))),this.setAttr("shadowOffsetX",a.x*c),this.setAttr("shadowOffsetY",a.y*d)}}Xa.SceneContext=bve;class Sve extends Bb{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}Xa.HitContext=Sve;Object.defineProperty(Is,"__esModule",{value:!0});Is.HitCanvas=Is.SceneCanvas=Is.Canvas=void 0;const E1=or,tz=Xa,nz=Tt,wve=Ct,xve=He;var Wy;function Cve(){if(Wy)return Wy;var e=E1.Util.createCanvasElement(),t=e.getContext("2d");return Wy=function(){var n=nz.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),E1.Util.releaseCanvas(e),Wy}class zb{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||nz.Konva.pixelRatio||Cve();this.pixelRatio=r,this._canvas=E1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return E1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Is.Canvas=zb;wve.Factory.addGetterSetter(zb,"pixelRatio",void 0,(0,xve.getNumberValidator)());class Eve extends zb{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new tz.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Is.SceneCanvas=Eve;class Tve extends zb{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new tz.HitContext(this),this.setSize(t.width,t.height)}}Is.HitCanvas=Tve;var Ub={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Tt,n=or;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=a.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(Ub);Object.defineProperty(Xn,"__esModule",{value:!0});Xn.Node=void 0;const Rt=or,Fm=Ct,Ky=Is,ju=Tt,Uo=Ub,vr=He;var B0="absoluteOpacity",Xy="allEventListeners",Na="absoluteTransform",B8="absoluteScale",Vu="canvas",Ave="Change",kve="children",Pve="konva",e3="listening",z8="mouseenter",U8="mouseleave",j8="set",V8="Shape",z0=" ",G8="stage",El="transform",Rve="Stage",t3="visible",Ove=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(z0);let Ive=1;class at{constructor(t){this._id=Ive++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===El||t===Na)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===El||t===Na,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(z0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Vu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===Na&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Vu)){const{scene:t,filter:n,hit:r}=this._cache.get(Vu);Rt.Util.releaseCanvas(t,n,r),this._cache.delete(Vu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){Rt.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Ky.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Ky.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Ky.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Vu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(B0),this._clearSelfAndDescendantCache(B8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(Vu,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Vu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){Rt.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(d){Rt.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Xy),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(z0),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(z0),i=r.length,o,s,a,l,u,c;if(this._cache&&this._cache.delete(Xy),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(s in this.eventListeners)this._off(s,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=Rt.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),Uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(Na),this._clearSelfAndDescendantCache(B0),this._clearSelfAndDescendantCache(B8),this._clearSelfAndDescendantCache(G8),this._clearSelfAndDescendantCache(t3),this._clearSelfAndDescendantCache(e3)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+Rt.Util._capitalize(t);return Rt.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==kve&&(r=j8+Rt.Util._capitalize(n),Rt.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(e3,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(t3,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;Uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!ju.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==V8&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==Rve&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(El),this._clearSelfAndDescendantCache(Na)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new Rt.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(El);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(El),this._clearSelfAndDescendantCache(Na),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return Rt.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return Rt.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return Rt.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return Rt.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return Rt.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&Rt.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(B0,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=Rt.Util.isObject(i)&&!Rt.Util._isPlainObject(i)&&!Rt.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),Rt.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],Rt.Util.isValidSelector(o)||(Rt.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),Rt.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),Rt.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(G8,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(Na,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new Rt.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(Na)||new Rt.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(El,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(El)||new Rt.Transform;r.reset();var i=this.x(),o=this.y(),s=ju.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||c!==0)&&r.skew(u,c),(a!==1||l!==1)&&r.scale(a,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=Rt.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(Pve)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new Ky.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,Rt.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():ju.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+Ave,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[j8+Rt.Util._capitalize(t)];return Rt.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(ju.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!Rt.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===V8&&(n.target=this);var i=(t===z8||t===U8)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===z8||t===U8)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Xy))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(Xy,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;Uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){Uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=Uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:Rt.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=Uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),Uo.DD._endDragBefore(t),Uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=Uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||ju.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;Uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=Uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&Uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return Rt.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return Rt.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=at.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),ju.Konva[r]||(Rt.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=ju.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(at._createNode(i[a]));return o}}Xn.Node=at;at.prototype.nodeType="Node";at.prototype._attrsAffectingSize=[];at.prototype.eventListeners={};at.prototype.on.call(at.prototype,Ove,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(El),this._clearSelfAndDescendantCache(Na)});at.prototype.on.call(at.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(t3)});at.prototype.on.call(at.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(e3)});at.prototype.on.call(at.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(B0)});const wn=Fm.Factory.addGetterSetter;wn(at,"zIndex");wn(at,"absolutePosition");wn(at,"position");wn(at,"x",0,(0,vr.getNumberValidator)());wn(at,"y",0,(0,vr.getNumberValidator)());wn(at,"globalCompositeOperation","source-over",(0,vr.getStringValidator)());wn(at,"opacity",1,(0,vr.getNumberValidator)());wn(at,"name","",(0,vr.getStringValidator)());wn(at,"id","",(0,vr.getStringValidator)());wn(at,"rotation",0,(0,vr.getNumberValidator)());Fm.Factory.addComponentsGetterSetter(at,"scale",["x","y"]);wn(at,"scaleX",1,(0,vr.getNumberValidator)());wn(at,"scaleY",1,(0,vr.getNumberValidator)());Fm.Factory.addComponentsGetterSetter(at,"skew",["x","y"]);wn(at,"skewX",0,(0,vr.getNumberValidator)());wn(at,"skewY",0,(0,vr.getNumberValidator)());Fm.Factory.addComponentsGetterSetter(at,"offset",["x","y"]);wn(at,"offsetX",0,(0,vr.getNumberValidator)());wn(at,"offsetY",0,(0,vr.getNumberValidator)());wn(at,"dragDistance",null,(0,vr.getNumberValidator)());wn(at,"width",0,(0,vr.getNumberValidator)());wn(at,"height",0,(0,vr.getNumberValidator)());wn(at,"listening",!0,(0,vr.getBooleanValidator)());wn(at,"preventDefault",!0,(0,vr.getBooleanValidator)());wn(at,"filters",null,function(e){return this._filterUpToDate=!1,e});wn(at,"visible",!0,(0,vr.getBooleanValidator)());wn(at,"transformsEnabled","all",(0,vr.getStringValidator)());wn(at,"size");wn(at,"dragBoundFunc");wn(at,"draggable",!1,(0,vr.getBooleanValidator)());Fm.Factory.backCompat(at,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var Kc={};Object.defineProperty(Kc,"__esModule",{value:!0});Kc.Container=void 0;const uh=Ct,ww=Xn,jb=He;class Xc extends ww.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=ww.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=ww.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(b){b[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}Kc.Container=Xc;uh.Factory.addComponentsGetterSetter(Xc,"clip",["x","y","width","height"]);uh.Factory.addGetterSetter(Xc,"clipX",void 0,(0,jb.getNumberValidator)());uh.Factory.addGetterSetter(Xc,"clipY",void 0,(0,jb.getNumberValidator)());uh.Factory.addGetterSetter(Xc,"clipWidth",void 0,(0,jb.getNumberValidator)());uh.Factory.addGetterSetter(Xc,"clipHeight",void 0,(0,jb.getNumberValidator)());uh.Factory.addGetterSetter(Xc,"clipFunc");var rz={},Ao={};Object.defineProperty(Ao,"__esModule",{value:!0});Ao.releaseCapture=Ao.setPointerCapture=Ao.hasPointerCapture=Ao.createEvent=Ao.getCapturedShape=void 0;const Mve=Tt,Ug=new Map,iz=Mve.Konva._global.PointerEvent!==void 0;function Nve(e){return Ug.get(e)}Ao.getCapturedShape=Nve;function _T(e){return{evt:e,pointerId:e.pointerId}}Ao.createEvent=_T;function Dve(e,t){return Ug.get(e)===t}Ao.hasPointerCapture=Dve;function Lve(e,t){oz(e),t.getStage()&&(Ug.set(e,t),iz&&t._fire("gotpointercapture",_T(new PointerEvent("gotpointercapture"))))}Ao.setPointerCapture=Lve;function oz(e,t){const n=Ug.get(e);if(!n)return;const r=n.getStage();r&&r.content,Ug.delete(e),iz&&n._fire("lostpointercapture",_T(new PointerEvent("lostpointercapture")))}Ao.releaseCapture=oz;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=or,n=Ct,r=Kc,i=Tt,o=Is,s=Ub,a=Tt,l=Ao;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",b="mousemove",_="mousedown",y="mouseup",g="pointermove",v="pointerdown",S="pointerup",w="pointercancel",x="lostpointercapture",C="pointerout",A="pointerleave",T="pointerover",k="pointerenter",L="contextmenu",N="touchstart",E="touchend",P="touchmove",D="touchcancel",B="wheel",R=5,O=[[m,"_pointerenter"],[_,"_pointerdown"],[b,"_pointermove"],[y,"_pointerup"],[h,"_pointerleave"],[N,"_pointerdown"],[P,"_pointermove"],[E,"_pointerup"],[D,"_pointercancel"],[p,"_pointerover"],[B,"_wheel"],[L,"_contextmenu"],[v,"_pointerdown"],[g,"_pointermove"],[S,"_pointerup"],[w,"_pointercancel"],[x,"_lostpointercapture"]];const I={mouse:{[C]:f,[A]:h,[T]:p,[k]:m,[g]:b,[v]:_,[S]:y,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[C]:"touchout",[A]:"touchleave",[T]:"touchover",[k]:"touchenter",[g]:P,[v]:N,[S]:E,[w]:D,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[C]:C,[A]:A,[T]:T,[k]:k,[g]:g,[v]:v,[S]:S,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},F=Q=>Q.indexOf("pointer")>=0?"pointer":Q.indexOf("touch")>=0?"touch":"mouse",U=Q=>{const j=F(Q);if(j==="pointer")return i.Konva.pointerEventsEnabled&&I.pointer;if(j==="touch")return I.touch;if(j==="mouse")return I.mouse};function V(Q={}){return(Q.clipFunc||Q.clipWidth||Q.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Q}const H="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class Y extends r.Container{constructor(j){super(V(j)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(j){const K=j.getType()==="Layer",ee=j.getType()==="FastLayer";K||ee||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var K=j.slice(1);j=document.getElementsByClassName(K)[0]}else{var ee;j.charAt(0)!=="#"?ee=j:ee=j.slice(1),j=document.getElementById(ee)}if(!j)throw"Can not find container in document with id "+ee}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,K=j.length,ee;for(ee=0;ee<K;ee++)j[ee].clear();return this}clone(j){return j||(j={}),j.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,j)}destroy(){super.destroy();var j=this.content;j&&t.Util._isInDocument(j)&&this.container().removeChild(j);var K=e.stages.indexOf(this);return K>-1&&e.stages.splice(K,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(H),null)}_getPointerById(j){return this._pointerPositions.find(K=>K.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var K=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),ee=K.getContext()._context,ie=this.children;return(j.x||j.y)&&ee.translate(-1*j.x,-1*j.y),ie.forEach(function(ge){if(ge.isVisible()){var ae=ge._toKonvaCanvas(j);ee.drawImage(ae._canvas,j.x,j.y,ae.getWidth()/ae.getPixelRatio(),ae.getHeight()/ae.getPixelRatio())}}),K}getIntersection(j){if(!j)return null;var K=this.children,ee=K.length,ie=ee-1,ge;for(ge=ie;ge>=0;ge--){const ae=K[ge].getIntersection(j);if(ae)return ae}return null}_resizeDOM(){var j=this.width(),K=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=K+d),this.bufferCanvas.setSize(j,K),this.bufferHitCanvas.setSize(j,K),this.children.forEach(ee=>{ee.setSize({width:j,height:K}),ee.draw()})}add(j,...K){if(arguments.length>1){for(var ee=0;ee<arguments.length;ee++)this.add(arguments[ee]);return this}super.add(j);var ie=this.children.length;return ie>R&&t.Util.warn("The stage has "+ie+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&O.forEach(([j,K])=>{this.content.addEventListener(j,ee=>{this[K](ee)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let K=this[j+"targetShape"];return K&&!K.getStage()&&(K=null),K}_pointerleave(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=this._getTargetShape(ee),ge=!s.DD.isDragging||i.Konva.hitOnDragEnabled;ie&&ge?(ie._fireAndBubble(K.pointerout,{evt:j}),ie._fireAndBubble(K.pointerleave,{evt:j}),this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this[ee+"targetShape"]=null):ge&&(this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(K.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=!1;this._changedPointerPositions.forEach(ge=>{var ae=this.getIntersection(ge);if(s.DD.justDragged=!1,i.Konva["_"+ee+"ListenClick"]=!0,!(ae&&ae.isListening()))return;i.Konva.capturePointerEventsEnabled&&ae.setPointerCapture(ge.id),this[ee+"ClickStartShape"]=ae,ae._fireAndBubble(K.pointerdown,{evt:j,pointerId:ge.id}),ie=!0;const et=j.type.indexOf("touch")>=0;ae.preventDefault()&&j.cancelable&&et&&j.preventDefault()}),ie||this._fire(K.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const K=U(j.type),ee=F(j.type);if(!K)return;s.DD.isDragging&&s.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var ie=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!ie)return;var ge={};let ae=!1;var dt=this._getTargetShape(ee);this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et),lt=et.id,Te={evt:j,pointerId:lt};var Ht=dt!==Ne;if(Ht&&dt&&(dt._fireAndBubble(K.pointerout,Object.assign({},Te),Ne),dt._fireAndBubble(K.pointerleave,Object.assign({},Te),Ne)),Ne){if(ge[Ne._id])return;ge[Ne._id]=!0}Ne&&Ne.isListening()?(ae=!0,Ht&&(Ne._fireAndBubble(K.pointerover,Object.assign({},Te),dt),Ne._fireAndBubble(K.pointerenter,Object.assign({},Te),dt),this[ee+"targetShape"]=Ne),Ne._fireAndBubble(K.pointermove,Object.assign({},Te))):dt&&(this._fire(K.pointerover,{evt:j,target:this,currentTarget:this,pointerId:lt}),this[ee+"targetShape"]=null)}),ae||this._fire(K.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const K=U(j.type),ee=F(j.type);if(!K)return;this.setPointersPositions(j);const ie=this[ee+"ClickStartShape"],ge=this[ee+"ClickEndShape"];var ae={};let dt=!1;this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et);if(Ne){if(Ne.releaseCapture(et.id),ae[Ne._id])return;ae[Ne._id]=!0}const lt=et.id,Te={evt:j,pointerId:lt};let Ht=!1;i.Konva["_"+ee+"InDblClickWindow"]?(Ht=!0,clearTimeout(this[ee+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+ee+"InDblClickWindow"]=!0,clearTimeout(this[ee+"DblTimeout"])),this[ee+"DblTimeout"]=setTimeout(function(){i.Konva["_"+ee+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ne&&Ne.isListening()?(dt=!0,this[ee+"ClickEndShape"]=Ne,Ne._fireAndBubble(K.pointerup,Object.assign({},Te)),i.Konva["_"+ee+"ListenClick"]&&ie&&ie===Ne&&(Ne._fireAndBubble(K.pointerclick,Object.assign({},Te)),Ht&&ge&&ge===Ne&&Ne._fireAndBubble(K.pointerdblclick,Object.assign({},Te)))):(this[ee+"ClickEndShape"]=null,i.Konva["_"+ee+"ListenClick"]&&this._fire(K.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:lt}),Ht&&this._fire(K.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:lt}))}),dt||this._fire(K.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+ee+"ListenClick"]=!1,j.cancelable&&ee!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(B,{evt:j}):this._fire(B,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const K=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());K&&K._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var K=this._getContentPosition(),ee=null,ie=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,ge=>{this._pointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,ge=>{this._changedPointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})})):(ee=(j.clientX-K.left)/K.scaleX,ie=(j.clientY-K.top)/K.scaleY,this.pointerPos={x:ee,y:ie},this._pointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var j=this.container();if(!j)throw"Stage has no container. A container is required.";j.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),j.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(j){j.batchDraw()}),this}}e.Stage=Y,Y.prototype.nodeType=u,(0,a._registerNode)(Y),n.Factory.addGetterSetter(Y,"container")})(rz);var Bm={},Ur={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Tt,n=or,r=Ct,i=Xn,o=He,s=Tt,a=Ao;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function y(A){A.stroke()}function g(){this._clearCache(l)}function v(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class C extends i.Node{constructor(T){super(T);let k;for(;k=n.Util.getRandomColor(),!(k&&!(k in e.shapes)););this.colorKey=k,e.shapes[k]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const k=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(k&&k.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const N=L.getMatrix(),E=typeof DOMMatrix>"u"?{a:N[0],b:N[1],c:N[2],d:N[3],e:N[4],f:N[5]}:new DOMMatrix(N);k.setTransform(E)}return k}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var k=p(),L=this.fillLinearGradientStartPoint(),N=this.fillLinearGradientEndPoint(),E=k.createLinearGradient(L.x,L.y,N.x,N.y),P=0;P<T.length;P+=2)E.addColorStop(T[P],T[P+1]);return E}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var T=this.fillRadialGradientColorStops();if(T){for(var k=p(),L=this.fillRadialGradientStartPoint(),N=this.fillRadialGradientEndPoint(),E=k.createRadialGradient(L.x,L.y,this.fillRadialGradientStartRadius(),N.x,N.y,this.fillRadialGradientEndRadius()),P=0;P<T.length;P+=2)E.addColorStop(T[P],T[P+1]);return E}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var T=n.Util.colorToRGBA(this.shadowColor());if(T)return"rgba("+T.r+","+T.g+","+T.b+","+T.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var k=this.getStage(),L=k.bufferHitCanvas,N;return L.getContext().clear(),this.drawHit(L,null,!0),N=L.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,N[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var k;if(!this.getStage()||!((k=this.attrs.perfectDrawEnabled)!==null&&k!==void 0?k:!0))return!1;const N=T||this.hasFill(),E=this.hasStroke(),P=this.getAbsoluteOpacity()!==1;if(N&&E&&P)return!0;const D=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(N&&E&&D&&B)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const k=T.skipTransform,L=T.relativeTo,N=this.getSelfRect(),P=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=N.width+P,B=N.height+P,R=!T.skipShadow&&this.hasShadow(),O=R?this.shadowOffsetX():0,I=R?this.shadowOffsetY():0,F=D+Math.abs(O),U=B+Math.abs(I),V=R&&this.shadowBlur()||0,H=F+V*2,Y=U+V*2,Q={width:H,height:Y,x:-(P/2+V)+Math.min(O,0)+N.x,y:-(P/2+V)+Math.min(I,0)+N.y};return k?Q:this._transformedRect(Q,L)}drawScene(T,k){var L=this.getLayer(),N=T||L.getCanvas(),E=N.getContext(),P=this._getCanvasCache(),D=this.getSceneFunc(),B=this.hasShadow(),R,O,I,F=N.isCache,U=k===this;if(!this.isVisible()&&!U)return this;if(P){E.save();var V=this.getAbsoluteTransform(k).getMatrix();return E.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(E),E.restore(),this}if(!D)return this;if(E.save(),this._useBufferCanvas()&&!F){R=this.getStage(),O=R.bufferCanvas,I=O.getContext(),I.clear(),I.save(),I._applyLineJoin(this);var H=this.getAbsoluteTransform(k).getMatrix();I.transform(H[0],H[1],H[2],H[3],H[4],H[5]),D.call(this,I,this),I.restore();var Y=O.pixelRatio;B&&E._applyShadow(this),E._applyOpacity(this),E._applyGlobalCompositeOperation(this),E.drawImage(O._canvas,0,0,O.width/Y,O.height/Y)}else{if(E._applyLineJoin(this),!U){var H=this.getAbsoluteTransform(k).getMatrix();E.transform(H[0],H[1],H[2],H[3],H[4],H[5]),E._applyOpacity(this),E._applyGlobalCompositeOperation(this)}B&&E._applyShadow(this),D.call(this,E,this)}return E.restore(),this}drawHit(T,k,L=!1){if(!this.shouldDrawHit(k,L))return this;var N=this.getLayer(),E=T||N.hitCanvas,P=E&&E.getContext(),D=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),R=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),R){P.save();var O=this.getAbsoluteTransform(k).getMatrix();return P.transform(O[0],O[1],O[2],O[3],O[4],O[5]),this._drawCachedHitCanvas(P),P.restore(),this}if(!D)return this;if(P.save(),P._applyLineJoin(this),!(this===k)){var F=this.getAbsoluteTransform(k).getMatrix();P.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return D.call(this,P,this),P.restore(),this}drawHitFromCache(T=0){var k=this._getCanvasCache(),L=this._getCachedSceneCanvas(),N=k.hit,E=N.getContext(),P=N.getWidth(),D=N.getHeight(),B,R,O,I,F,U;E.clear(),E.drawImage(L._canvas,0,0,P,D);try{for(B=E.getImageData(0,0,P,D),R=B.data,O=R.length,I=n.Util._hexToRgb(this.colorKey),F=0;F<O;F+=4)U=R[F+3],U>T?(R[F]=I.r,R[F+1]=I.g,R[F+2]=I.b,R[F+3]=255):R[F+3]=0;E.putImageData(B,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=C,C.prototype._fillFunc=m,C.prototype._strokeFunc=b,C.prototype._fillFuncHit=_,C.prototype._strokeFuncHit=y,C.prototype._centroid=!1,C.prototype.nodeType="Shape",(0,s._registerNode)(C),C.prototype.eventListeners={},C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",v),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(C,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(C,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(C,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"lineJoin"),r.Factory.addGetterSetter(C,"lineCap"),r.Factory.addGetterSetter(C,"sceneFunc"),r.Factory.addGetterSetter(C,"hitFunc"),r.Factory.addGetterSetter(C,"dash"),r.Factory.addGetterSetter(C,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(C,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(C,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternImage"),r.Factory.addGetterSetter(C,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(C,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(C,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(C,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(C,"fillEnabled",!0),r.Factory.addGetterSetter(C,"strokeEnabled",!0),r.Factory.addGetterSetter(C,"shadowEnabled",!0),r.Factory.addGetterSetter(C,"dashEnabled",!0),r.Factory.addGetterSetter(C,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(C,"fillPriority","color"),r.Factory.addComponentsGetterSetter(C,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(C,"fillPatternRotation",0),r.Factory.addGetterSetter(C,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(C,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(Ur);Object.defineProperty(Bm,"__esModule",{value:!0});Bm.Layer=void 0;const Ra=or,xw=Kc,bd=Xn,bT=Ct,H8=Is,$ve=He,Fve=Ur,Bve=Tt;var zve="#",Uve="beforeDraw",jve="draw",sz=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Vve=sz.length;class ch extends xw.Container{constructor(t){super(t),this.canvas=new H8.SceneCanvas,this.hitCanvas=new H8.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){bd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=bd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(bd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(bd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return bd.Node.prototype.remove.call(this),t&&t.parentNode&&Ra.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Ra.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),bd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){Ra.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){Ra.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,Ra.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<Vve;i++){const o=sz[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=Ra.Util._rgbToHex(r[0],r[1],r[2]),s=Fve.shapes[zve+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Uve,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),xw.Container.prototype.drawScene.call(this,i,n),this._fire(jve,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),xw.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return Ra.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Bm.Layer=ch;ch.prototype.nodeType="Layer";(0,Bve._registerNode)(ch);bT.Factory.addGetterSetter(ch,"imageSmoothingEnabled",!0);bT.Factory.addGetterSetter(ch,"clearBeforeDraw",!0);bT.Factory.addGetterSetter(ch,"hitGraphEnabled",!0,(0,$ve.getBooleanValidator)());var Vb={};Object.defineProperty(Vb,"__esModule",{value:!0});Vb.FastLayer=void 0;const Gve=or,Hve=Bm,qve=Tt;class ST extends Hve.Layer{constructor(t){super(t),this.listening(!1),Gve.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}Vb.FastLayer=ST;ST.prototype.nodeType="FastLayer";(0,qve._registerNode)(ST);var dh={};Object.defineProperty(dh,"__esModule",{value:!0});dh.Group=void 0;const Wve=or,Kve=Kc,Xve=Tt;class wT extends Kve.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Wve.Util.throw("You may only add groups and shapes to groups.")}}dh.Group=wT;wT.prototype.nodeType="Group";(0,Xve._registerNode)(wT);var fh={};Object.defineProperty(fh,"__esModule",{value:!0});fh.Animation=void 0;const Cw=Tt,q8=or;var Ew=function(){return Cw.glob.performance&&Cw.glob.performance.now?function(){return Cw.glob.performance.now()}:function(){return new Date().getTime()}}();class ea{constructor(t,n){this.id=ea.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Ew(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=ea,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Ew(),ea._addAnimation(this),this}stop(){return ea._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,c,d;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Ew()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=ea;t.animations.length?(t._runFrames(),q8.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,q8.Util.requestAnimFrame(this._animationLoop))}}fh.Animation=ea;ea.animations=[];ea.animIdCounter=0;ea.animRunning=!1;var az={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=or,n=fh,r=Xn,i=Tt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,b,_,y,g,v){this.prop=p,this.propFunc=m,this.begin=_,this._pos=_,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=v,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=b,this._change=y-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,b=p.node,_=b._id,y,g=p.easing||e.Easings.Linear,v=!!p.yoyo,S;typeof p.duration>"u"?y=.3:p.duration===0?y=.001:y=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(x){m._tweenFunc(x)},g,0,1,y*1e3,v),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,y,g,v,S,w,x,C,A;if(v=f.tweens[_][p],v&&delete f.attrs[_][v][p],y=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,y.length),p==="points"&&m.length!==y.length&&(m.length>y.length?(C=y,y=t.Util._prepareArrayForTween(y,m,b.closed())):(x=m,m=t.Util._prepareArrayForTween(m,y,b.closed()))),p.indexOf("fill")===0)for(S=0;S<w;S++)if(S%2===0)g.push(m[S]-y[S]);else{var T=t.Util.colorToRGBA(y[S]);A=t.Util.colorToRGBA(m[S]),y[S]=T,g.push({r:A.r-T.r,g:A.g-T.g,b:A.b-T.b,a:A.a-T.a})}else for(S=0;S<w;S++)g.push(m[S]-y[S]);else c.indexOf(p)!==-1?(y=t.Util.colorToRGBA(y),A=t.Util.colorToRGBA(m),g={r:A.r-y.r,g:A.g-y.g,b:A.b-y.b,a:A.a-y.a}):g=m-y;f.attrs[_][this._id][p]={start:y,diff:g,end:m,trueEnd:x,trueStart:C},f.tweens[_][p]=this._id}_tweenFunc(p){var m=this.node,b=f.attrs[m._id][this._id],_,y,g,v,S,w,x,C;for(_ in b){if(y=b[_],g=y.start,v=y.diff,C=y.end,t.Util._isArray(g))if(S=[],x=Math.max(g.length,C.length),_.indexOf("fill")===0)for(w=0;w<x;w++)w%2===0?S.push((g[w]||0)+v[w]*p):S.push("rgba("+Math.round(g[w].r+v[w].r*p)+","+Math.round(g[w].g+v[w].g*p)+","+Math.round(g[w].b+v[w].b*p)+","+(g[w].a+v[w].a*p)+")");else for(w=0;w<x;w++)S.push((g[w]||0)+v[w]*p);else c.indexOf(_)!==-1?S="rgba("+Math.round(g.r+v.r*p)+","+Math.round(g.g+v.g*p)+","+Math.round(g.b+v.b*p)+","+(g.a+v.a*p)+")":S=g+v*p;m.setAttr(_,S)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),-(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y))+p)},ElasticEaseOut(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),_*Math.pow(2,-10*h)*Math.sin((h*b-g)*(2*Math.PI)/y)+m+p)},ElasticEaseInOut(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b/2)===2?p+m:(y||(y=b*(.3*1.5)),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),h<1?-.5*(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y))+p:_*Math.pow(2,-10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y)*.5+m+p)},BounceEaseOut(h,p,m,b){return(h/=b)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,b){return m-e.Easings.BounceEaseOut(b-h,0,m,b)+p},BounceEaseInOut(h,p,m,b){return h<b/2?e.Easings.BounceEaseIn(h*2,0,m,b)*.5+p:e.Easings.BounceEaseOut(h*2-b,0,m,b)*.5+m*.5+p},EaseIn(h,p,m,b){return m*(h/=b)*h+p},EaseOut(h,p,m,b){return-m*(h/=b)*(h-2)+p},EaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,b){return m*(h/=b)*h*h*h*h+p},StrongEaseOut(h,p,m,b){return m*((h=h/b-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,b){return m*h/b+p}}})(az);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=Tt,n=or,r=Xn,i=Kc,o=rz,s=Bm,a=Vb,l=dh,u=Ub,c=Ur,d=fh,f=az,h=Xa,p=Is;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(JB);var Gb={};Object.defineProperty(Gb,"__esModule",{value:!0});Gb.Arc=void 0;const Hb=Ct,Qve=Ur,W8=Tt,qb=He,Yve=Tt;class gl extends Qve.Shape{_sceneFunc(t){var n=W8.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=W8.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),s=1,a=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}Gb.Arc=gl;gl.prototype._centroid=!0;gl.prototype.className="Arc";gl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,Yve._registerNode)(gl);Hb.Factory.addGetterSetter(gl,"innerRadius",0,(0,qb.getNumberValidator)());Hb.Factory.addGetterSetter(gl,"outerRadius",0,(0,qb.getNumberValidator)());Hb.Factory.addGetterSetter(gl,"angle",0,(0,qb.getNumberValidator)());Hb.Factory.addGetterSetter(gl,"clockwise",!1,(0,qb.getBooleanValidator)());var Wb={},zm={};Object.defineProperty(zm,"__esModule",{value:!0});zm.Line=void 0;const Kb=Ct,Zve=Ur,lz=He,Jve=Tt;function n3(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function K8(e,t){var n=e.length,r=[],i,o;for(i=2;i<n-2;i+=2)o=n3(e[i-2],e[i-1],e[i],e[i+1],e[i+2],e[i+3],t),!isNaN(o[0])&&(r.push(o[0]),r.push(o[1]),r.push(e[i]),r.push(e[i+1]),r.push(o[2]),r.push(o[3]));return r}class Ou extends Zve.Shape{constructor(t){super(t),this.on("pointsChange.konva tensionChange.konva closedChange.konva bezierChange.konva",function(){this._clearCache("tensionPoints")})}_sceneFunc(t){var n=this.points(),r=n.length,i=this.tension(),o=this.closed(),s=this.bezier(),a,l,u;if(r){if(t.beginPath(),t.moveTo(n[0],n[1]),i!==0&&r>4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u<l-2;)t.bezierCurveTo(a[u++],a[u++],a[u++],a[u++],a[u++],a[u++]);o||t.quadraticCurveTo(a[l-2],a[l-1],n[r-2],n[r-1])}else if(s)for(u=2;u<r;)t.bezierCurveTo(n[u++],n[u++],n[u++],n[u++],n[u++],n[u++]);else for(u=2;u<r;u+=2)t.lineTo(n[u],n[u+1]);o?(t.closePath(),t.fillStrokeShape(this)):t.strokeShape(this)}}getTensionPoints(){return this._getCache("tensionPoints",this._getTensionPoints)}_getTensionPoints(){return this.closed()?this._getTensionPointsClosed():K8(this.points(),this.tension())}_getTensionPointsClosed(){var t=this.points(),n=t.length,r=this.tension(),i=n3(t[n-2],t[n-1],t[0],t[1],t[2],t[3],r),o=n3(t[n-4],t[n-3],t[n-2],t[n-1],t[0],t[1],r),s=K8(t,r),a=[i[2],i[3]].concat(s).concat([o[0],o[1],t[n-2],t[n-1],o[2],o[3],i[0],i[1],t[0],t[1]]);return 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n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Nr.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Nr.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Nr.getPointOnCubicBezier((0,Sd.t2length)(t,Nr.getPathLength(n),m=>(0,Sd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Nr.getPointOnQuadraticBezier((0,Sd.t2length)(t,Nr.getPathLength(n),m=>(0,Sd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,Nr.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:s,y:a+c};else if((a-r)/(s-n+1e-8)===l)d={x:s+u,y:a+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(s-n)*(i-n)+(a-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var b=this.getLineLength(s,a,f,h),_=Math.sqrt(t*t-b*b);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function c(b){return b*b*b}function d(b){return 3*b*b*(1-b)}function f(b){return 3*b*(1-b)*(1-b)}function h(b){return(1-b)*(1-b)*(1-b)}var p=l*c(t)+s*d(t)+i*f(t)+n*h(t),m=u*c(t)+a*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=s*l(t)+i*u(t)+n*c(t),f=a*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),a.length=0;d=c.exec(f);)a.push(d[0]);for(var p=[],m=0,b=a.length;m<b;m++){if(a[m]==="00"){p.push(0,0);continue}var _=parseFloat(a[m]);isNaN(_)?p.push(0):p.push(_)}for(;p.length>0&&!isNaN(p[0]);){var y=null,g=[],v=l,S=u,w,x,C,A,T,k,L,N,E,P;switch(h){case"l":l+=p.shift(),u+=p.shift(),y="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var D=p.shift(),B=p.shift();if(l+=D,u+=B,y="M",s.length>2&&s[s.length-1].command==="z"){for(var R=s.length-2;R>=0;R--)if(s[R].command==="M"){l=s[R].points[0]+D,u=s[R].points[1]+B;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),y="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),y="L",g.push(l,u);break;case"H":l=p.shift(),y="L",g.push(l,u);break;case"v":u+=p.shift(),y="L",g.push(l,u);break;case"V":u=p.shift(),y="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"S":x=l,C=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,p.shift(),p.shift()),l=p.shift(),u=p.shift(),y="C",g.push(l,u);break;case"s":x=l,C=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="Q",g.push(l,u);break;case"T":x=l,C=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l=p.shift(),u=p.shift(),y="Q",g.push(x,C,l,u);break;case"t":x=l,C=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),y="Q",g.push(x,C,l,u);break;case"A":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),E=l,P=u,l=p.shift(),u=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,P,l,u,L,N,A,T,k);break;case"a":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),E=l,P=u,l+=p.shift(),u+=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,P,l,u,L,N,A,T,k);break}s.push({command:y||h,points:g,start:{x:v,y:S},pathLength:this.calcLength(v,S,y||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Nr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,Sd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,Sd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l<f;l+=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(a*a)+f*f/(l*l);h>1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,y=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},v=function(T,k){return(T[0]*k[0]+T[1]*k[1])/(g(T)*g(k))},S=function(T,k){return(T[0]*k[1]<T[1]*k[0]?-1:1)*Math.acos(v(T,k))},w=S([1,0],[(d-m)/a,(f-b)/l]),x=[(d-m)/a,(f-b)/l],C=[(-1*d-m)/a,(-1*f-b)/l],A=S(x,C);return v(x,C)<=-1&&(A=Math.PI),v(x,C)>=1&&(A=0),s===0&&A>0&&(A=A-2*Math.PI),s===1&&A<0&&(A=A+2*Math.PI),[_,y,a,l,w,A,c,s]}}hh.Path=Nr;Nr.prototype.className="Path";Nr.prototype._attrsAffectingSize=["data"];(0,n1e._registerNode)(Nr);e1e.Factory.addGetterSetter(Nr,"data");Object.defineProperty(Wb,"__esModule",{value:!0});Wb.Arrow=void 0;const Xb=Ct,r1e=zm,cz=He,i1e=Tt,X8=hh;class Qc extends r1e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=X8.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=X8.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}Wb.Arrow=Qc;Qc.prototype.className="Arrow";(0,i1e._registerNode)(Qc);Xb.Factory.addGetterSetter(Qc,"pointerLength",10,(0,cz.getNumberValidator)());Xb.Factory.addGetterSetter(Qc,"pointerWidth",10,(0,cz.getNumberValidator)());Xb.Factory.addGetterSetter(Qc,"pointerAtBeginning",!1);Xb.Factory.addGetterSetter(Qc,"pointerAtEnding",!0);var Qb={};Object.defineProperty(Qb,"__esModule",{value:!0});Qb.Circle=void 0;const o1e=Ct,s1e=Ur,a1e=He,l1e=Tt;let ph=class extends s1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};Qb.Circle=ph;ph.prototype._centroid=!0;ph.prototype.className="Circle";ph.prototype._attrsAffectingSize=["radius"];(0,l1e._registerNode)(ph);o1e.Factory.addGetterSetter(ph,"radius",0,(0,a1e.getNumberValidator)());var Yb={};Object.defineProperty(Yb,"__esModule",{value:!0});Yb.Ellipse=void 0;const xT=Ct,u1e=Ur,dz=He,c1e=Tt;class Iu extends u1e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}Yb.Ellipse=Iu;Iu.prototype.className="Ellipse";Iu.prototype._centroid=!0;Iu.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,c1e._registerNode)(Iu);xT.Factory.addComponentsGetterSetter(Iu,"radius",["x","y"]);xT.Factory.addGetterSetter(Iu,"radiusX",0,(0,dz.getNumberValidator)());xT.Factory.addGetterSetter(Iu,"radiusY",0,(0,dz.getNumberValidator)());var Zb={};Object.defineProperty(Zb,"__esModule",{value:!0});Zb.Image=void 0;const Tw=or,Yc=Ct,d1e=Ur,f1e=Tt,Um=He;let wa=class fz extends d1e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Tw.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Tw.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Tw.Util.createImageElement();i.onload=function(){var o=new fz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};Zb.Image=wa;wa.prototype.className="Image";(0,f1e._registerNode)(wa);Yc.Factory.addGetterSetter(wa,"cornerRadius",0,(0,Um.getNumberOrArrayOfNumbersValidator)(4));Yc.Factory.addGetterSetter(wa,"image");Yc.Factory.addComponentsGetterSetter(wa,"crop",["x","y","width","height"]);Yc.Factory.addGetterSetter(wa,"cropX",0,(0,Um.getNumberValidator)());Yc.Factory.addGetterSetter(wa,"cropY",0,(0,Um.getNumberValidator)());Yc.Factory.addGetterSetter(wa,"cropWidth",0,(0,Um.getNumberValidator)());Yc.Factory.addGetterSetter(wa,"cropHeight",0,(0,Um.getNumberValidator)());var qf={};Object.defineProperty(qf,"__esModule",{value:!0});qf.Tag=qf.Label=void 0;const Jb=Ct,h1e=Ur,p1e=dh,CT=He,hz=Tt;var pz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],g1e="Change.konva",m1e="none",r3="up",i3="right",o3="down",s3="left",y1e=pz.length;class ET extends p1e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<y1e;r++)t.on(pz[r]+g1e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case r3:a=r/2,l=-1*u;break;case i3:a=r+s,l=i/2;break;case o3:a=r/2,l=i+u;break;case s3:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}qf.Label=ET;ET.prototype.className="Label";(0,hz._registerNode)(ET);class Zc extends h1e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof a=="number"?l=u=c=d=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),d=Math.min(a[2]||0,n/2,r/2),c=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===r3&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===i3&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===o3&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===s3&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===r3?(n-=i,a+=i):o===o3?a+=i:o===s3?(t-=r*1.5,s+=r):o===i3&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}qf.Tag=Zc;Zc.prototype.className="Tag";(0,hz._registerNode)(Zc);Jb.Factory.addGetterSetter(Zc,"pointerDirection",m1e);Jb.Factory.addGetterSetter(Zc,"pointerWidth",0,(0,CT.getNumberValidator)());Jb.Factory.addGetterSetter(Zc,"pointerHeight",0,(0,CT.getNumberValidator)());Jb.Factory.addGetterSetter(Zc,"cornerRadius",0,(0,CT.getNumberOrArrayOfNumbersValidator)(4));var jm={};Object.defineProperty(jm,"__esModule",{value:!0});jm.Rect=void 0;const v1e=Ct,_1e=Ur,b1e=Tt,S1e=or,w1e=He;let eS=class extends _1e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?S1e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};jm.Rect=eS;eS.prototype.className="Rect";(0,b1e._registerNode)(eS);v1e.Factory.addGetterSetter(eS,"cornerRadius",0,(0,w1e.getNumberOrArrayOfNumbersValidator)(4));var tS={};Object.defineProperty(tS,"__esModule",{value:!0});tS.RegularPolygon=void 0;const gz=Ct,x1e=Ur,mz=He,C1e=Tt;class Jc extends x1e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return 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this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}nS.Ring=ed;ed.prototype.className="Ring";ed.prototype._centroid=!0;ed.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,T1e._registerNode)(ed);yz.Factory.addGetterSetter(ed,"innerRadius",0,(0,vz.getNumberValidator)());yz.Factory.addGetterSetter(ed,"outerRadius",0,(0,vz.getNumberValidator)());var rS={};Object.defineProperty(rS,"__esModule",{value:!0});rS.Sprite=void 0;const td=Ct,A1e=Ur,k1e=fh,_z=He,P1e=Tt;class xa extends A1e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new k1e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(s){var f=s[n],h=r*2;t.drawImage(d,a,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,a,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],c=r*2;t.rect(u[c+0],u[c+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}rS.Sprite=xa;xa.prototype.className="Sprite";(0,P1e._registerNode)(xa);td.Factory.addGetterSetter(xa,"animation");td.Factory.addGetterSetter(xa,"animations");td.Factory.addGetterSetter(xa,"frameOffsets");td.Factory.addGetterSetter(xa,"image");td.Factory.addGetterSetter(xa,"frameIndex",0,(0,_z.getNumberValidator)());td.Factory.addGetterSetter(xa,"frameRate",17,(0,_z.getNumberValidator)());td.Factory.backCompat(xa,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var iS={};Object.defineProperty(iS,"__esModule",{value:!0});iS.Star=void 0;const TT=Ct,R1e=Ur,AT=He,O1e=Tt;class Mu extends R1e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}iS.Star=Mu;Mu.prototype.className="Star";Mu.prototype._centroid=!0;Mu.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,O1e._registerNode)(Mu);TT.Factory.addGetterSetter(Mu,"numPoints",5,(0,AT.getNumberValidator)());TT.Factory.addGetterSetter(Mu,"innerRadius",0,(0,AT.getNumberValidator)());TT.Factory.addGetterSetter(Mu,"outerRadius",0,(0,AT.getNumberValidator)());var Dc={};Object.defineProperty(Dc,"__esModule",{value:!0});Dc.Text=Dc.stringToArray=void 0;const a3=or,Zi=Ct,I1e=Ur,Nu=He,M1e=Tt;function bz(e){return Array.from(e)}Dc.stringToArray=bz;var wd="auto",N1e="center",Uh="justify",D1e="Change.konva",L1e="2d",Y8="-",Sz="left",$1e="text",F1e="Text",B1e="top",z1e="bottom",Z8="middle",wz="normal",U1e="px 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n=0;n<H1e;n++)this.on(xz[n]+D1e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,b,_=0,_=s/2,y=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",Z8),t.setAttr("textAlign",Sz),a===Z8?l=(this.getHeight()-r*s-i*2)/2:a===z1e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),b=0;b<r;b++){var y=0,g=0,v=n[b],S=v.text,w=v.width,x=v.lastInParagraph,C,A,T;if(t.save(),u===j1e?y+=c-w-i*2:u===N1e&&(y+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(y,_+g+Math.round(o/2)),C=S.split(" ").length-1,A=C===0,T=u===Uh&&!x?c-i*2:w,t.lineTo(y+Math.round(T),_+g+Math.round(o/2)),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(y,_+g),C=S.split(" ").length-1,A=C===0,T=u===Uh&&x&&!A?c-i*2:w,t.lineTo(y+Math.round(T),_+g),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(d!==0||u===Uh){C=S.split(" ").length-1;for(var k=bz(S),L=0;L<k.length;L++){var N=k[L];N===" "&&!x&&u===Uh&&(y+=(c-i*2-w)/C),this._partialTextX=y,this._partialTextY=_+g,this._partialText=N,t.fillStrokeShape(this),y+=this.measureSize(N).width+d}}else this._partialTextX=y,this._partialTextY=_+g,this._partialText=S,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=a3.Util._isString(t)?t:t==null?"":t+"";return this._setAttr($1e,n),this}getWidth(){var t=this.attrs.width===wd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===wd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return a3.Util.warn("text.getTextHeight() method is deprecated. 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Pw.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}oS.TextPath=jr;jr.prototype._fillFunc=Tz;jr.prototype._strokeFunc=Az;jr.prototype._fillFuncHit=Tz;jr.prototype._strokeFuncHit=Az;jr.prototype.className="TextPath";jr.prototype._attrsAffectingSize=["text","fontSize","data"];(0,Y1e._registerNode)(jr);zs.Factory.addGetterSetter(jr,"data");zs.Factory.addGetterSetter(jr,"fontFamily","Arial");zs.Factory.addGetterSetter(jr,"fontSize",12,(0,Cz.getNumberValidator)());zs.Factory.addGetterSetter(jr,"fontStyle",Ez);zs.Factory.addGetterSetter(jr,"align","left");zs.Factory.addGetterSetter(jr,"letterSpacing",0,(0,Cz.getNumberValidator)());zs.Factory.addGetterSetter(jr,"textBaseline","middle");zs.Factory.addGetterSetter(jr,"fontVariant",Ez);zs.Factory.addGetterSetter(jr,"text",Z1e);zs.Factory.addGetterSetter(jr,"textDecoration",null);zs.Factory.addGetterSetter(jr,"kerningFunc",null);var sS={};Object.defineProperty(sS,"__esModule",{value:!0});sS.Transformer=void 0;const pn=or,un=Ct,eR=Xn,J1e=Ur,e_e=jm,tR=dh,ms=Tt,Du=He,t_e=Tt;var kz="tr-konva",n_e=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${kz}`).join(" "),nR="nodesRect",r_e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],i_e={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const o_e="ontouchstart"in ms.Konva._global;function s_e(e,t){if(e==="rotater")return"crosshair";t+=pn.Util.degToRad(i_e[e]||0);var n=(pn.Util.radToDeg(t)%360+360)%360;return pn.Util._inRange(n,315+22.5,360)||pn.Util._inRange(n,0,22.5)?"ns-resize":pn.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":pn.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":pn.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":pn.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":pn.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":pn.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":pn.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(pn.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var T1=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],rR=1e8;function a_e(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function Pz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function l_e(e,t){const n=a_e(e);return Pz(e,t,n)}function u_e(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=ms.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Gt extends tR.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(n_e,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return pn.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return kz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(pn.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(r_e.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(nR),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(nR,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(ms.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return Pz(c,-ms.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-rR,y:-rR,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new pn.Transform;r.rotate(-ms.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:ms.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),T1.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new e_e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:o_e?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=ms.Konva.getAngle(this.rotation()),o=s_e(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new J1e.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*pn.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let N=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(N-=Math.PI);var f=ms.Konva.getAngle(this.rotation());const E=f+N,P=ms.Konva.getAngle(this.rotationSnapTolerance()),B=u_e(this.rotationSnaps(),E,P)-d.rotation,R=l_e(d,B);this._fitNodesInto(R,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-right").x()<m.x?-1:1,_=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var y=o.position();this.findOne(".top-left").y(y.y),this.findOne(".bottom-right").x(y.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var b=m.x<o.x()?-1:1,_=o.y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,o.x(m.x-n),o.y(m.y+r)}y=o.position(),this.findOne(".top-left").x(y.x),this.findOne(".bottom-right").y(y.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var b=this.findOne(".bottom-right").x()<m.x?-1:1,_=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var v=this.findOne(".top-left"),S=this.findOne(".bottom-right"),w=v.x(),x=v.y(),C=this.getWidth()-S.x(),A=this.getHeight()-S.y();S.move({x:-w,y:-x}),v.move({x:C,y:A})}var T=this.findOne(".top-left").getAbsolutePosition();n=T.x,r=T.y;var k=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),L=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:k,height:L,rotation:ms.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(pn.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(pn.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new pn.Transform;if(s.rotate(ms.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:pn.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new pn.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new pn.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new pn.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(pn.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(pn.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*pn.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),tR.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return eR.Node.prototype.toObject.call(this)}clone(t){var n=eR.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}sS.Transformer=Gt;function c_e(e){return e instanceof Array||pn.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){T1.indexOf(t)===-1&&pn.Util.warn("Unknown anchor name: "+t+". Available names are: "+T1.join(", "))}),e||[]}Gt.prototype.className="Transformer";(0,t_e._registerNode)(Gt);un.Factory.addGetterSetter(Gt,"enabledAnchors",T1,c_e);un.Factory.addGetterSetter(Gt,"flipEnabled",!0,(0,Du.getBooleanValidator)());un.Factory.addGetterSetter(Gt,"resizeEnabled",!0);un.Factory.addGetterSetter(Gt,"anchorSize",10,(0,Du.getNumberValidator)());un.Factory.addGetterSetter(Gt,"rotateEnabled",!0);un.Factory.addGetterSetter(Gt,"rotationSnaps",[]);un.Factory.addGetterSetter(Gt,"rotateAnchorOffset",50,(0,Du.getNumberValidator)());un.Factory.addGetterSetter(Gt,"rotationSnapTolerance",5,(0,Du.getNumberValidator)());un.Factory.addGetterSetter(Gt,"borderEnabled",!0);un.Factory.addGetterSetter(Gt,"anchorStroke","rgb(0, 161, 255)");un.Factory.addGetterSetter(Gt,"anchorStrokeWidth",1,(0,Du.getNumberValidator)());un.Factory.addGetterSetter(Gt,"anchorFill","white");un.Factory.addGetterSetter(Gt,"anchorCornerRadius",0,(0,Du.getNumberValidator)());un.Factory.addGetterSetter(Gt,"borderStroke","rgb(0, 161, 255)");un.Factory.addGetterSetter(Gt,"borderStrokeWidth",1,(0,Du.getNumberValidator)());un.Factory.addGetterSetter(Gt,"borderDash");un.Factory.addGetterSetter(Gt,"keepRatio",!0);un.Factory.addGetterSetter(Gt,"shiftBehavior","default");un.Factory.addGetterSetter(Gt,"centeredScaling",!1);un.Factory.addGetterSetter(Gt,"ignoreStroke",!1);un.Factory.addGetterSetter(Gt,"padding",0,(0,Du.getNumberValidator)());un.Factory.addGetterSetter(Gt,"node");un.Factory.addGetterSetter(Gt,"nodes");un.Factory.addGetterSetter(Gt,"boundBoxFunc");un.Factory.addGetterSetter(Gt,"anchorDragBoundFunc");un.Factory.addGetterSetter(Gt,"anchorStyleFunc");un.Factory.addGetterSetter(Gt,"shouldOverdrawWholeArea",!1);un.Factory.addGetterSetter(Gt,"useSingleNodeRotation",!0);un.Factory.backCompat(Gt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var aS={};Object.defineProperty(aS,"__esModule",{value:!0});aS.Wedge=void 0;const lS=Ct,d_e=Ur,f_e=Tt,Rz=He,h_e=Tt;class ml extends d_e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,f_e.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}aS.Wedge=ml;ml.prototype.className="Wedge";ml.prototype._centroid=!0;ml.prototype._attrsAffectingSize=["radius"];(0,h_e._registerNode)(ml);lS.Factory.addGetterSetter(ml,"radius",0,(0,Rz.getNumberValidator)());lS.Factory.addGetterSetter(ml,"angle",0,(0,Rz.getNumberValidator)());lS.Factory.addGetterSetter(ml,"clockwise",!1);lS.Factory.backCompat(ml,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.Blur=void 0;const iR=Ct,p_e=Xn,g_e=He;function oR(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var m_e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],y_e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function v_e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,y,g,v,S,w,x,C,A,T,k,L,N=t+t+1,E=r-1,P=i-1,D=t+1,B=D*(D+1)/2,R=new oR,O=null,I=R,F=null,U=null,V=m_e[t],H=y_e[t];for(a=1;a<N;a++)I=I.next=new oR,a===D&&(O=I);for(I.next=R,d=c=0,s=0;s<i;s++){for(v=S=w=x=f=h=p=m=0,b=D*(C=n[c]),_=D*(A=n[c+1]),y=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*C,h+=B*A,p+=B*T,m+=B*k,I=R,a=0;a<D;a++)I.r=C,I.g=A,I.b=T,I.a=k,I=I.next;for(a=1;a<D;a++)l=c+((E<a?E:a)<<2),f+=(I.r=C=n[l])*(L=D-a),h+=(I.g=A=n[l+1])*L,p+=(I.b=T=n[l+2])*L,m+=(I.a=k=n[l+3])*L,v+=C,S+=A,w+=T,x+=k,I=I.next;for(F=R,U=O,o=0;o<r;o++)n[c+3]=k=m*V>>H,k!==0?(k=255/k,n[c]=(f*V>>H)*k,n[c+1]=(h*V>>H)*k,n[c+2]=(p*V>>H)*k):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=d+((l=o+t+1)<E?l:E)<<2,v+=F.r=n[l],S+=F.g=n[l+1],w+=F.b=n[l+2],x+=F.a=n[l+3],f+=v,h+=S,p+=w,m+=x,F=F.next,b+=C=U.r,_+=A=U.g,y+=T=U.b,g+=k=U.a,v-=C,S-=A,w-=T,x-=k,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(S=w=x=v=h=p=m=f=0,c=o<<2,b=D*(C=n[c]),_=D*(A=n[c+1]),y=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*C,h+=B*A,p+=B*T,m+=B*k,I=R,a=0;a<D;a++)I.r=C,I.g=A,I.b=T,I.a=k,I=I.next;for(u=r,a=1;a<=t;a++)c=u+o<<2,f+=(I.r=C=n[c])*(L=D-a),h+=(I.g=A=n[c+1])*L,p+=(I.b=T=n[c+2])*L,m+=(I.a=k=n[c+3])*L,v+=C,S+=A,w+=T,x+=k,I=I.next,a<P&&(u+=r);for(c=o,F=R,U=O,s=0;s<i;s++)l=c<<2,n[l+3]=k=m*V>>H,k>0?(k=255/k,n[l]=(f*V>>H)*k,n[l+1]=(h*V>>H)*k,n[l+2]=(p*V>>H)*k):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=o+((l=s+D)<P?l:P)*r<<2,f+=v+=F.r=n[l],h+=S+=F.g=n[l+1],p+=w+=F.b=n[l+2],m+=x+=F.a=n[l+3],F=F.next,b+=C=U.r,_+=A=U.g,y+=T=U.b,g+=k=U.a,v-=C,S-=A,w-=T,x-=k,U=U.next,c+=r}}const __e=function(t){var n=Math.round(this.blurRadius());n>0&&v_e(t,n)};uS.Blur=__e;iR.Factory.addGetterSetter(p_e.Node,"blurRadius",0,(0,g_e.getNumberValidator)(),iR.Factory.afterSetFilter);var cS={};Object.defineProperty(cS,"__esModule",{value:!0});cS.Brighten=void 0;const sR=Ct,b_e=Xn,S_e=He,w_e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};cS.Brighten=w_e;sR.Factory.addGetterSetter(b_e.Node,"brightness",0,(0,S_e.getNumberValidator)(),sR.Factory.afterSetFilter);var dS={};Object.defineProperty(dS,"__esModule",{value:!0});dS.Contrast=void 0;const aR=Ct,x_e=Xn,C_e=He,E_e=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};dS.Contrast=E_e;aR.Factory.addGetterSetter(x_e.Node,"contrast",0,(0,C_e.getNumberValidator)(),aR.Factory.afterSetFilter);var fS={};Object.defineProperty(fS,"__esModule",{value:!0});fS.Emboss=void 0;const _u=Ct,hS=Xn,T_e=or,Oz=He,A_e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:T_e.Util.error("Unknown emboss direction: "+r)}do{var f=(d-1)*c,h=o;d+h<1&&(h=0),d+h>u&&(h=0);var p=(d-1+h)*l*4,m=l;do{var b=f+(m-1)*4,_=s;m+_<1&&(_=0),m+_>l&&(_=0);var y=p+(m-1+_)*4,g=a[b]-a[y],v=a[b+1]-a[y+1],S=a[b+2]-a[y+2],w=g,x=w>0?w:-w,C=v>0?v:-v,A=S>0?S:-S;if(C>x&&(w=v),A>x&&(w=S),w*=t,i){var T=a[b]+w,k=a[b+1]+w,L=a[b+2]+w;a[b]=T>255?255:T<0?0:T,a[b+1]=k>255?255:k<0?0:k,a[b+2]=L>255?255:L<0?0:L}else{var N=n-w;N<0?N=0:N>255&&(N=255),a[b]=a[b+1]=a[b+2]=N}}while(--m)}while(--d)};fS.Emboss=A_e;_u.Factory.addGetterSetter(hS.Node,"embossStrength",.5,(0,Oz.getNumberValidator)(),_u.Factory.afterSetFilter);_u.Factory.addGetterSetter(hS.Node,"embossWhiteLevel",.5,(0,Oz.getNumberValidator)(),_u.Factory.afterSetFilter);_u.Factory.addGetterSetter(hS.Node,"embossDirection","top-left",null,_u.Factory.afterSetFilter);_u.Factory.addGetterSetter(hS.Node,"embossBlend",!1,null,_u.Factory.afterSetFilter);var pS={};Object.defineProperty(pS,"__esModule",{value:!0});pS.Enhance=void 0;const lR=Ct,k_e=Xn,P_e=He;function Ow(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const R_e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<s?s=l:l>a&&(a=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,y,g,v,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),y=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,y=a+h*(a-_),g=s+h*(s-_),v=(c+u)*.5,S=c+h*(c-v),w=u+h*(u-v)),f=0;f<n;f+=4)t[f+0]=Ow(t[f+0],r,i,b,m),t[f+1]=Ow(t[f+1],s,a,g,y),t[f+2]=Ow(t[f+2],u,c,w,S)}};pS.Enhance=R_e;lR.Factory.addGetterSetter(k_e.Node,"enhance",0,(0,P_e.getNumberValidator)(),lR.Factory.afterSetFilter);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Grayscale=void 0;const O_e=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};gS.Grayscale=O_e;var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.HSL=void 0;const Wf=Ct,kT=Xn,PT=He;Wf.Factory.addGetterSetter(kT.Node,"hue",0,(0,PT.getNumberValidator)(),Wf.Factory.afterSetFilter);Wf.Factory.addGetterSetter(kT.Node,"saturation",0,(0,PT.getNumberValidator)(),Wf.Factory.afterSetFilter);Wf.Factory.addGetterSetter(kT.Node,"luminance",0,(0,PT.getNumberValidator)(),Wf.Factory.afterSetFilter);const I_e=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),c=.299*r+.701*l+.167*u,d=.587*r-.587*l+.33*u,f=.114*r-.114*l-.497*u,h=.299*r-.299*l-.328*u,p=.587*r+.413*l+.035*u,m=.114*r-.114*l+.293*u,b=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,y=.114*r+.886*l-.2*u,g,v,S,w;for(a=0;a<n;a+=4)g=t[a+0],v=t[a+1],S=t[a+2],w=t[a+3],t[a+0]=c*g+d*v+f*S+s,t[a+1]=h*g+p*v+m*S+s,t[a+2]=b*g+_*v+y*S+s,t[a+3]=w};mS.HSL=I_e;var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.HSV=void 0;const Kf=Ct,RT=Xn,OT=He,M_e=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,c=.587*r-.587*a+.33*l,d=.114*r-.114*a-.497*l,f=.299*r-.299*a-.328*l,h=.587*r+.413*a+.035*l,p=.114*r-.114*a+.293*l,m=.299*r-.3*a+1.25*l,b=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,y,g,v,S;for(s=0;s<n;s+=4)y=t[s+0],g=t[s+1],v=t[s+2],S=t[s+3],t[s+0]=u*y+c*g+d*v,t[s+1]=f*y+h*g+p*v,t[s+2]=m*y+b*g+_*v,t[s+3]=S};yS.HSV=M_e;Kf.Factory.addGetterSetter(RT.Node,"hue",0,(0,OT.getNumberValidator)(),Kf.Factory.afterSetFilter);Kf.Factory.addGetterSetter(RT.Node,"saturation",0,(0,OT.getNumberValidator)(),Kf.Factory.afterSetFilter);Kf.Factory.addGetterSetter(RT.Node,"value",0,(0,OT.getNumberValidator)(),Kf.Factory.afterSetFilter);var vS={};Object.defineProperty(vS,"__esModule",{value:!0});vS.Invert=void 0;const N_e=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};vS.Invert=N_e;var _S={};Object.defineProperty(_S,"__esModule",{value:!0});_S.Kaleidoscope=void 0;const A1=Ct,Iz=Xn,uR=or,Mz=He;var D_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f=0,h=0,p=0,m=0,b,_=Math.sqrt(a*a+l*l);c=o-a,d=s-l,b=Math.sqrt(c*c+d*d),_=b>_?b:_;var y=s,g=o,v,S,w=360/g*Math.PI/180,x,C;for(S=0;S<g;S+=1)for(x=Math.sin(S*w),C=Math.cos(S*w),v=0;v<y;v+=1)c=Math.floor(a+_*v/y*C),d=Math.floor(l+_*v/y*x),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(S+v*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},L_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f,h,p=0,m=0,b=0,_=0,y,g=Math.sqrt(a*a+l*l);c=o-a,d=s-l,y=Math.sqrt(c*c+d*d),g=y>g?y:g;var v=s,S=o,w,x,C=n.polarRotation||0,A,T;for(c=0;c<o;c+=1)for(d=0;d<s;d+=1)f=c-a,h=d-l,w=Math.sqrt(f*f+h*h)*v/g,x=(Math.atan2(h,f)*180/Math.PI+360+C)%360,x=x*S/360,A=Math.floor(x),T=Math.floor(w),u=(T*o+A)*4,p=r[u+0],m=r[u+1],b=r[u+2],_=r[u+3],u=(d*o+c)*4,i[u+0]=p,i[u+1]=m,i[u+2]=b,i[u+3]=_};const $_e=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,c,d,f,h=Math.round(this.kaleidoscopePower()),p=Math.round(this.kaleidoscopeAngle()),m=Math.floor(t*(p%360)/360);if(!(h<1)){var b=uR.Util.createCanvasElement();b.width=t,b.height=n;var _=b.getContext("2d").getImageData(0,0,t,n);uR.Util.releaseCanvas(b),D_e(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var y=t/Math.pow(2,h);y<=8;)y=y*2,h-=1;y=Math.ceil(y);var g=y,v=0,S=g,w=1;for(m+y>t&&(v=g,S=0,w=-1),i=0;i<n;i+=1)for(r=v;r!==S;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+r)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(y),s=0;s<h;s+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+g*2-r-1)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;g*=2}L_e(_,e,{polarRotation:0})}};_S.Kaleidoscope=$_e;A1.Factory.addGetterSetter(Iz.Node,"kaleidoscopePower",2,(0,Mz.getNumberValidator)(),A1.Factory.afterSetFilter);A1.Factory.addGetterSetter(Iz.Node,"kaleidoscopeAngle",0,(0,Mz.getNumberValidator)(),A1.Factory.afterSetFilter);var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.Mask=void 0;const cR=Ct,F_e=Xn,B_e=He;function Zy(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function Vh(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function z_e(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function U_e(e,t){var n=Zy(e,0,0),r=Zy(e,e.width-1,0),i=Zy(e,0,e.height-1),o=Zy(e,e.width-1,e.height-1),s=t||10;if(Vh(n,r)<s&&Vh(r,o)<s&&Vh(o,i)<s&&Vh(i,n)<s){for(var a=z_e([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var c=Vh(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=c<s?0:255}return l}}function j_e(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function V_e(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c===255*8?255:0}return s}function G_e(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c>=255*4?255:0}return s}function H_e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c}return s}const q_e=function(e){var t=this.threshold(),n=U_e(e,t);return n&&(n=V_e(n,e.width,e.height),n=G_e(n,e.width,e.height),n=H_e(n,e.width,e.height),j_e(e,n)),e};bS.Mask=q_e;cR.Factory.addGetterSetter(F_e.Node,"threshold",0,(0,B_e.getNumberValidator)(),cR.Factory.afterSetFilter);var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.Noise=void 0;const dR=Ct,W_e=Xn,K_e=He,X_e=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};SS.Noise=X_e;dR.Factory.addGetterSetter(W_e.Node,"noise",.2,(0,K_e.getNumberValidator)(),dR.Factory.afterSetFilter);var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Pixelate=void 0;const fR=Ct,Q_e=or,Y_e=Xn,Z_e=He,J_e=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,b,_,y,g,v=e.data;if(t<=0){Q_e.Util.error("pixelSize value can not be <= 0");return}for(_=0;_<d;_+=1)for(y=0;y<f;y+=1){for(a=0,l=0,u=0,c=0,h=_*t,p=h+t,m=y*t,b=m+t,g=0,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<b;o+=1)o>=r||(s=(n*o+i)*4,a+=v[s+0],l+=v[s+1],u+=v[s+2],c+=v[s+3],g+=1);for(a=a/g,l=l/g,u=u/g,c=c/g,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<b;o+=1)o>=r||(s=(n*o+i)*4,v[s+0]=a,v[s+1]=l,v[s+2]=u,v[s+3]=c)}};wS.Pixelate=J_e;fR.Factory.addGetterSetter(Y_e.Node,"pixelSize",8,(0,Z_e.getNumberValidator)(),fR.Factory.afterSetFilter);var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Posterize=void 0;const hR=Ct,ebe=Xn,tbe=He,nbe=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o<r;o+=1)n[o]=Math.floor(n[o]/i)*i};xS.Posterize=nbe;hR.Factory.addGetterSetter(ebe.Node,"levels",.5,(0,tbe.getNumberValidator)(),hR.Factory.afterSetFilter);var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.RGB=void 0;const k1=Ct,IT=Xn,rbe=He,ibe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};CS.RGB=ibe;k1.Factory.addGetterSetter(IT.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});k1.Factory.addGetterSetter(IT.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});k1.Factory.addGetterSetter(IT.Node,"blue",0,rbe.RGBComponent,k1.Factory.afterSetFilter);var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.RGBA=void 0;const jg=Ct,TS=Xn,obe=He,sbe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};ES.RGBA=sbe;jg.Factory.addGetterSetter(TS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});jg.Factory.addGetterSetter(TS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});jg.Factory.addGetterSetter(TS.Node,"blue",0,obe.RGBComponent,jg.Factory.afterSetFilter);jg.Factory.addGetterSetter(TS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var AS={};Object.defineProperty(AS,"__esModule",{value:!0});AS.Sepia=void 0;const abe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};AS.Sepia=abe;var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Solarize=void 0;const lbe=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};kS.Solarize=lbe;var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Threshold=void 0;const pR=Ct,ube=Xn,cbe=He,dbe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};PS.Threshold=dbe;pR.Factory.addGetterSetter(ube.Node,"threshold",.5,(0,cbe.getNumberValidator)(),pR.Factory.afterSetFilter);Object.defineProperty(Fb,"__esModule",{value:!0});Fb.Konva=void 0;const gR=JB,fbe=Gb,hbe=Wb,pbe=Qb,gbe=Yb,mbe=Zb,mR=qf,ybe=zm,vbe=hh,_be=jm,bbe=tS,Sbe=nS,wbe=rS,xbe=iS,Cbe=Dc,Ebe=oS,Tbe=sS,Abe=aS,kbe=uS,Pbe=cS,Rbe=dS,Obe=fS,Ibe=pS,Mbe=gS,Nbe=mS,Dbe=yS,Lbe=vS,$be=_S,Fbe=bS,Bbe=SS,zbe=wS,Ube=xS,jbe=CS,Vbe=ES,Gbe=AS,Hbe=kS,qbe=PS;Fb.Konva=gR.Konva.Util._assign(gR.Konva,{Arc:fbe.Arc,Arrow:hbe.Arrow,Circle:pbe.Circle,Ellipse:gbe.Ellipse,Image:mbe.Image,Label:mR.Label,Tag:mR.Tag,Line:ybe.Line,Path:vbe.Path,Rect:_be.Rect,RegularPolygon:bbe.RegularPolygon,Ring:Sbe.Ring,Sprite:wbe.Sprite,Star:xbe.Star,Text:Cbe.Text,TextPath:Ebe.TextPath,Transformer:Tbe.Transformer,Wedge:Abe.Wedge,Filters:{Blur:kbe.Blur,Brighten:Pbe.Brighten,Contrast:Rbe.Contrast,Emboss:Obe.Emboss,Enhance:Ibe.Enhance,Grayscale:Mbe.Grayscale,HSL:Nbe.HSL,HSV:Dbe.HSV,Invert:Lbe.Invert,Kaleidoscope:$be.Kaleidoscope,Mask:Fbe.Mask,Noise:Bbe.Noise,Pixelate:zbe.Pixelate,Posterize:Ube.Posterize,RGB:jbe.RGB,RGBA:Vbe.RGBA,Sepia:Gbe.Sepia,Solarize:Hbe.Solarize,Threshold:qbe.Threshold}});var Wbe=vT.exports;Object.defineProperty(Wbe,"__esModule",{value:!0});const Kbe=Fb;vT.exports=Kbe.Konva;var Xbe=vT.exports;const Gh=Fc(Xbe),Qbe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new Gh.Stage({container:o,width:r,height:i}),a=new Gh.Layer,l=new Gh.Layer;return a.add(new Gh.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new Gh.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},Ybe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),yR=async(e,t)=>{const n=e.toDataURL(t);return await Ybe(n,t.width,t.height)},MT=async(e,t,n,r,i)=>{const o=pe("canvas"),s=Lb(),a=H0e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const c=u.getAbsolutePosition(),d={x:l.x+c.x,y:l.y+c.y,width:l.width,height:l.height},f=await C1(u,d),h=await yR(u,d),p=await Qbe(r?e.objects.filter(yD):[],l,i),m=await C1(p,l),b=await yR(p,l);return{baseBlob:f,baseImageData:h,maskBlob:m,maskImageData:b}},Zbe=()=>{xe({actionCreator:F0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await MT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Bn({title:"Problem Saving Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery;t(he.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Saved to Assets"}}}))}})},Jbe=()=>{xe({actionCreator:V0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await MT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Bn({title:"Problem Importing Mask",description:"Unable to export mask",status:"error"}));return}const{autoAddBoardId:a}=i.gallery,l=await t(he.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Mask Sent to ControlNet & Assets"}}})).unwrap(),{image_name:u}=l;t(Wc({controlNetId:e.payload.controlNet.controlNetId,controlImage:u}))}})},eSe=async()=>{const e=Lb();if(!e)return;const t=e.clone();return t.scale({x:1,y:1}),C1(t,t.getClientRect())},tSe=()=>{xe({actionCreator:U0e,effect:async(e,{dispatch:t})=>{const n=ib.get().child({namespace:"canvasCopiedToClipboardListener"}),r=await eSe();if(!r){n.error("Problem getting base layer blob"),t(Bn({title:"Problem Merging Canvas",description:"Unable to export base layer",status:"error"}));return}const i=Lb();if(!i){n.error("Problem getting canvas base layer"),t(Bn({title:"Problem Merging Canvas",description:"Unable to export base layer",status:"error"}));return}const o=i.getClientRect({relativeTo:i.getParent()}),s=await t(he.endpoints.uploadImage.initiate({file:new File([r],"mergedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Canvas Merged"}}})).unwrap(),{image_name:a}=s;t(Kne({kind:"image",layer:"base",imageName:a,...o}))}})},nSe=()=>{xe({actionCreator:$0e,effect:async(e,{dispatch:t,getState:n})=>{const r=pe("canvas"),i=n(),o=await $b(i);if(!o){r.error("Problem getting base layer blob"),t(Bn({title:"Problem Saving Canvas",description:"Unable to export base layer",status:"error"}));return}const{autoAddBoardId:s}=i.gallery;t(he.endpoints.uploadImage.initiate({file:new File([o],"savedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!1,board_id:s==="none"?void 0:s,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:"Canvas Saved to Gallery"}}}))}})},rSe=(e,t,n)=>{var d;if(!(Tde.match(e)||M6.match(e)||Wc.match(e)||Ade.match(e)||N6.match(e))||N6.match(e)&&((d=n.controlNet.controlNets[e.payload.controlNetId])==null?void 0:d.shouldAutoConfig)===!0)return!1;const i=t.controlNet.controlNets[e.payload.controlNetId];if(!i)return!1;const{controlImage:o,processorType:s,shouldAutoConfig:a}=i;if(M6.match(e)&&!a)return!1;const l=s!=="none",u=t.system.isProcessing;return l&&!u&&!!o},iSe=()=>{xe({predicate:rSe,effect:async(e,{dispatch:t,cancelActiveListeners:n,delay:r})=>{const i=pe("session"),{controlNetId:o}=e.payload;n(),i.trace("ControlNet auto-process triggered"),await r(300),t(WE({controlNetId:o}))}})},nd=Me("system/sessionReadyToInvoke"),Nz=e=>(e==null?void 0:e.type)==="image_output",oSe=()=>{xe({actionCreator:WE,effect:async(e,{dispatch:t,getState:n,take:r})=>{const i=pe("session"),{controlNetId:o}=e.payload,s=n().controlNet.controlNets[o];if(!(s!=null&&s.controlImage)){i.error("Unable to process ControlNet image");return}const a={nodes:{[s.processorNode.id]:{...s.processorNode,is_intermediate:!0,image:{image_name:s.controlImage}}}},l=t(wi({graph:a})),[u]=await r(f=>wi.fulfilled.match(f)&&f.meta.requestId===l.requestId),c=u.payload.id;t(nd());const[d]=await r(f=>GE.match(f)&&f.payload.data.graph_execution_state_id===c);if(Nz(d.payload.data.result)){const{image_name:f}=d.payload.data.result.image,[{payload:h}]=await r(m=>he.endpoints.getImageDTO.matchFulfilled(m)&&m.payload.image_name===f),p=h;i.debug({controlNetId:e.payload,processedControlImage:p},"ControlNet image processed"),t(XE({controlNetId:o,processedControlImage:p.image_name}))}}})},sSe=()=>{xe({matcher:he.endpoints.addImageToBoard.matchFulfilled,effect:e=>{const t=pe("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Image added to board")}})},aSe=()=>{xe({matcher:he.endpoints.addImageToBoard.matchRejected,effect:e=>{const t=pe("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Problem adding image to board")}})},NT=Me("deleteImageModal/imageDeletionConfirmed"),K9e=$i(e=>e,e=>e.gallery.selection[e.gallery.selection.length-1],yT),Dz=$i([e=>e],e=>{const{selectedBoardId:t,galleryView:n}=e.gallery;return{board_id:t,categories:n==="images"?Xr:jl,offset:0,limit:nre,is_intermediate:!1}},yT),lSe=()=>{xe({actionCreator:NT,effect:async(e,{dispatch:t,getState:n,condition:r})=>{var f;const{imageDTOs:i,imagesUsage:o}=e.payload;if(i.length!==1||o.length!==1)return;const s=i[0],a=o[0];if(!s||!a)return;t(QE(!1));const l=n(),u=(f=l.gallery.selection[l.gallery.selection.length-1])==null?void 0:f.image_name;if(s&&(s==null?void 0:s.image_name)===u){const{image_name:h}=s,p=Dz(l),{data:m}=he.endpoints.listImages.select(p)(l),b=m?Nn.getSelectors().selectAll(m):[],_=b.findIndex(S=>S.image_name===h),y=b.filter(S=>S.image_name!==h),g=zl(_,0,y.length-1),v=y[g];t(da(v||null))}a.isCanvasImage&&t(_E()),i.forEach(h=>{var p;((p=n().generation.initialImage)==null?void 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F=N.width,U=N.height;I.nodes[_i]={type:"img_resize",id:_i,is_intermediate:!0,width:F,height:U,image:t},I.nodes[Fn]={type:"img_resize",id:Fn,is_intermediate:!0,width:F,height:U},I.nodes[Ni]={type:"img_resize",id:Ni,is_intermediate:!0,width:k,height:L},I.nodes[Gl]={type:"img_resize",id:Gl,is_intermediate:!0,width:k,height:L},I.nodes[Li]={type:"img_resize",id:Li,is_intermediate:!0,width:k,height:L},I.nodes[we].width=F,I.nodes[we].height=U,I.nodes[mn].width=F,I.nodes[mn].height=U,I.edges.push({source:{node_id:_i,field:"image"},destination:{node_id:zt,field:"image"}},{source:{node_id:yi,field:"image"},destination:{node_id:Fn,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Ni,field:"image"}},{source:{node_id:Fn,field:"image"},destination:{node_id:Li,field:"image"}},{source:{node_id:zt,field:"image"},destination:{node_id:Gl,field:"image"}},{source:{node_id:Gl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Ni,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Li,field:"image"},destination:{node_id:me,field:"mask"}})}else I.nodes[zt]={...I.nodes[zt],image:t},I.nodes[we].width=k,I.nodes[we].height=L,I.nodes[mn].width=k,I.nodes[mn].height=L,I.nodes[zn]={...I.nodes[zn],image:t},I.edges.push({source:{node_id:zt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:yi,field:"image"},destination:{node_id:me,field:"mask"}});if(y!=="unmasked"&&(I.nodes[Dt]={type:"create_denoise_mask",id:Dt,is_intermediate:!0,fp32:D},I.edges.push({source:{node_id:zt,field:"image"},destination:{node_id:Dt,field:"image"}}),y==="mask"&&(B?I.edges.push({source:{node_id:Fn,field:"image"},destination:{node_id:Dt,field:"mask"}}):I.edges.push({source:{node_id:yi,field:"image"},destination:{node_id:Dt,field:"mask"}})),y==="edge"&&(I.nodes[ur]={type:"mask_edge",id:ur,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},B?I.edges.push({source:{node_id:Fn,field:"image"},destination:{node_id:ur,field:"image"}}):I.edges.push({source:{node_id:yi,field:"image"},destination:{node_id:ur,field:"image"}}),I.edges.push({source:{node_id:ur,field:"image"},destination:{node_id:Dt,field:"mask"}})),I.edges.push({source:{node_id:Dt,field:"denoise_mask"},destination:{node_id:vt,field:"denoise_mask"}})),h){const F={id:Lr,type:"rand_int"};I.nodes[Lr]=F,I.edges.push({source:{node_id:Lr,field:"value"},destination:{node_id:Kn,field:"start"}})}else I.nodes[Kn].start=f;return(A||T)&&(us(e,I,R),R=Fr),cs(e,I,R),gh(e,I,Fe,R),as(e,I,Fe),e.system.shouldUseNSFWChecker&&ls(e,I,me),e.system.shouldUseWatermarker&&ds(e,I,me),I},mh=(e,t,n,r=Ii)=>{const{loras:i}=e.lora,o=O_(i),s=t.nodes[kt],a=r;let l=r;[Fr,$a].includes(r)&&(l=Ii),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;ns(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${Bz}_${f.replace(".","_")}`,b={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};s&&(s.loras||(s.loras=[]),s.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=b,c===0?(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[Lc,$c].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:vt,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Be,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Ve,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Be,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Ve,field:"clip2"}})),u=m,c+=1})},rd=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},yh=(e,t,n,r,i)=>{const{refinerModel:o,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:a,refinerSteps:l,refinerScheduler:u,refinerCFGScale:c,refinerStart:d}=e.sdxl,{seamlessXAxis:f,seamlessYAxis:h,vaePrecision:p}=e.generation,{boundingBoxScaleMethod:m}=e.canvas,b=p==="fp32",_=["auto","manual"].includes(m);if(!o)return;const y=t.nodes[kt];y&&(y.refiner_model=o,y.refiner_positive_aesthetic_score=s,y.refiner_negative_aesthetic_score=a,y.refiner_cfg_scale=c,y.refiner_scheduler=u,y.refiner_start=d,y.refiner_steps=l);const g=r||Ii,{craftedPositiveStylePrompt:v,craftedNegativeStylePrompt:S}=rd(e,!0);t.edges=t.edges.filter(w=>!(w.source.node_id===n&&["latents"].includes(w.source.field))),t.edges=t.edges.filter(w=>!(w.source.node_id===g&&["vae"].includes(w.source.field))),t.nodes[Hu]={type:"sdxl_refiner_model_loader",id:Hu,model:o},t.nodes[e0]={type:"sdxl_refiner_compel_prompt",id:e0,style:v,aesthetic_score:s},t.nodes[t0]={type:"sdxl_refiner_compel_prompt",id:t0,style:S,aesthetic_score:a},t.nodes[Hs]={type:"denoise_latents",id:Hs,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[Es]={id:Es,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:Hu,field:"unet"},destination:{node_id:Es,field:"unet"}},{source:{node_id:Hu,field:"vae"},destination:{node_id:Es,field:"vae"}},{source:{node_id:Es,field:"unet"},destination:{node_id:Hs,field:"unet"}})):t.edges.push({source:{node_id:Hu,field:"unet"},destination:{node_id:Hs,field:"unet"}}),t.edges.push({source:{node_id:Hu,field:"clip2"},destination:{node_id:e0,field:"clip2"}},{source:{node_id:Hu,field:"clip2"},destination:{node_id:t0,field:"clip2"}},{source:{node_id:e0,field:"conditioning"},destination:{node_id:Hs,field:"positive_conditioning"}},{source:{node_id:t0,field:"conditioning"},destination:{node_id:Hs,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:Hs,field:"latents"}}),(t.id===Lc||t.id===$c)&&(t.nodes[$a]={type:"create_denoise_mask",id:$a,is_intermediate:!0,fp32:b},_?t.edges.push({source:{node_id:_i,field:"image"},destination:{node_id:$a,field:"image"}}):t.nodes[$a]={...t.nodes[$a],image:i},t.edges.push({source:{node_id:_?Fn:yi,field:"image"},destination:{node_id:$a,field:"mask"}},{source:{node_id:$a,field:"denoise_mask"},destination:{node_id:Hs,field:"denoise_mask"}})),t.id===MS||t.id===Gg?t.edges.push({source:{node_id:Hs,field:"latents"},destination:{node_id:_?qe:me,field:"latents"}}):t.edges.push({source:{node_id:Hs,field:"latents"},destination:{node_id:qe,field:"latents"}})},mwe=(e,t)=>{const n=pe("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:y}=e.sdxl,{width:g,height:v}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:x}=e.canvas,C=u==="fp32",A=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let T=Ii;const k=f?d:Fs.shouldUseCpuNoise,{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:N}=rd(e,y),E={id:Gg,nodes:{[T]:{type:"sdxl_model_loader",id:T,model:o},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:r,style:L},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:i,style:N},[we]:{type:"noise",id:we,is_intermediate:!0,use_cpu:k,width:A?S.width:g,height:A?S.height:v},[Ln]:{type:"i2l",id:Ln,is_intermediate:!0,fp32:C},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Ln,field:"latents"},destination:{node_id:Re,field:"latents"}}]};return A?(E.nodes[mf]={id:mf,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},E.nodes[qe]={id:qe,type:"l2i",is_intermediate:!0,fp32:C},E.nodes[me]={id:me,type:"img_resize",is_intermediate:!x,width:g,height:v},E.edges.push({source:{node_id:mf,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(E.nodes[me]={type:"l2i",id:me,is_intermediate:!x,fp32:C},E.nodes[Ln].image=t,E.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),E.nodes[kt]={id:kt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:A?S.width:g,height:A?S.height:v,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:k?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},E.edges.push({source:{node_id:kt,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(h||p)&&(us(e,E,T),T=Fr),m&&(yh(e,E,Re,T),(h||p)&&(T=Es)),cs(e,E,T),mh(e,E,Re,T),$u(e,E),as(e,E,Re),e.system.shouldUseNSFWChecker&&ls(e,E,me),e.system.shouldUseWatermarker&&ds(e,E,me),E},ywe=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceMode:y,canvasCoherenceSteps:g,canvasCoherenceStrength:v,seamlessXAxis:S,seamlessYAxis:w}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:C,refinerStart:A,shouldConcatSDXLStylePrompt:T}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:k,height:L}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:N,boundingBoxScaleMethod:E,shouldAutoSave:P}=e.canvas,D=h==="fp32",B=["auto","manual"].includes(E);let R=Ii;const 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V=N.width,H=N.height;U.nodes[_i]={type:"img_resize",id:_i,is_intermediate:!0,width:V,height:H,image:t},U.nodes[Fn]={type:"img_resize",id:Fn,is_intermediate:!0,width:V,height:H,image:n},U.nodes[Ni]={type:"img_resize",id:Ni,is_intermediate:!0,width:k,height:L},U.nodes[Li]={type:"img_resize",id:Li,is_intermediate:!0,width:k,height:L},U.nodes[we].width=V,U.nodes[we].height=H,U.nodes[mn].width=V,U.nodes[mn].height=H,U.edges.push({source:{node_id:_i,field:"image"},destination:{node_id:zn,field:"image"}},{source:{node_id:Fn,field:"image"},destination:{node_id:Oi,field:"image"}},{source:{node_id:_i,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Ni,field:"image"}},{source:{node_id:Ni,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:Li,field:"image"}},{source:{node_id:Li,field:"image"},destination:{node_id:me,field:"mask"}})}else U.nodes[we].width=k,U.nodes[we].height=L,U.nodes[mn].width=k,U.nodes[mn].height=L,U.nodes[zn]={...U.nodes[zn],image:t},U.nodes[Oi]={...U.nodes[Oi],image:n},U.nodes[$n]={...U.nodes[$n],image:t},U.edges.push({source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:me,field:"mask"}});if(y!=="unmasked"&&(U.nodes[Dt]={type:"create_denoise_mask",id:Dt,is_intermediate:!0,fp32:D},B?U.edges.push({source:{node_id:_i,field:"image"},destination:{node_id:Dt,field:"image"}}):U.nodes[Dt]={...U.nodes[Dt],image:t},y==="mask"&&(B?U.edges.push({source:{node_id:Fn,field:"image"},destination:{node_id:Dt,field:"mask"}}):U.nodes[Dt]={...U.nodes[Dt],mask:n}),y==="edge"&&(U.nodes[ur]={type:"mask_edge",id:ur,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},B?U.edges.push({source:{node_id:Fn,field:"image"},destination:{node_id:ur,field:"image"}}):U.nodes[ur]={...U.nodes[ur],image:n},U.edges.push({source:{node_id:ur,field:"image"},destination:{node_id:Dt,field:"mask"}})),U.edges.push({source:{node_id:Dt,field:"denoise_mask"},destination:{node_id:vt,field:"denoise_mask"}})),f){const V={id:Lr,type:"rand_int"};U.nodes[Lr]=V,U.edges.push({source:{node_id:Lr,field:"value"},destination:{node_id:Kn,field:"start"}})}else U.nodes[Kn].start=d;return(S||w)&&(us(e,U,R),R=Fr),C&&(yh(e,U,vt,R,t),(S||w)&&(R=Es)),cs(e,U,R),mh(e,U,Re,R),as(e,U,Re),e.system.shouldUseNSFWChecker&&ls(e,U,me),e.system.shouldUseWatermarker&&ds(e,U,me),U},vwe=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,canvasCoherenceMode:_,canvasCoherenceSteps:y,canvasCoherenceStrength:g,infillTileSize:v,infillPatchmatchDownscaleSize:S,infillMethod:w,seamlessXAxis:x,seamlessYAxis:C}=e.generation,{sdxlImg2ImgDenoisingStrength:A,shouldUseSDXLRefiner:T,refinerStart:k,shouldConcatSDXLStylePrompt:L}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in 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F=m,{craftedPositiveStylePrompt:U,craftedNegativeStylePrompt:V}=rd(e,L),H={id:$c,nodes:{[Ii]:{type:"sdxl_model_loader",id:Ii,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:U},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:V},[yf]:{type:"tomask",id:yf,is_intermediate:!0,image:t},[yi]:{type:"mask_combine",id:yi,is_intermediate:!0,mask2:n},[zn]:{type:"i2l",id:zn,is_intermediate:!0,fp32:R},[we]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[$n]:{type:"create_denoise_mask",id:$n,is_intermediate:!0,fp32:R},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:T?Math.min(k,1-A):1-A,denoising_end:T?k:1},[mn]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Di]:{type:"add",id:Di,b:1,is_intermediate:!0},[vt]:{type:"denoise_latents",id:vt,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:R},[me]:{type:"color_correct",id:me,is_intermediate:!B},[Kn]:{type:"range_of_size",id:Kn,is_intermediate:!0,size:c,step:1},[on]:{type:"iterate",id:on,is_intermediate:!0}},edges:[{source:{node_id:Ii,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:Ii,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Ii,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:Ii,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Ii,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:zt,field:"image"},destination:{node_id:zn,field:"image"}},{source:{node_id:yf,field:"image"},destination:{node_id:yi,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:zn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:O?Fn:yi,field:"image"},destination:{node_id:$n,field:"mask"}},{source:{node_id:$n,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Kn,field:"collection"},destination:{node_id:on,field:"collection"}},{source:{node_id:on,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:on,field:"item"},destination:{node_id:Di,field:"a"}},{source:{node_id:Di,field:"value"},destination:{node_id:mn,field:"seed"}},{source:{node_id:I,field:"unet"},destination:{node_id:vt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:vt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:vt,field:"negative_conditioning"}},{source:{node_id:mn,field:"noise"},destination:{node_id:vt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:vt,field:"latents"}},{source:{node_id:zt,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:vt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(w==="patchmatch"&&(H.nodes[zt]={type:"infill_patchmatch",id:zt,is_intermediate:!0,downscale:S}),w==="lama"&&(H.nodes[zt]={type:"infill_lama",id:zt,is_intermediate:!0}),w==="cv2"&&(H.nodes[zt]={type:"infill_cv2",id:zt,is_intermediate:!0}),w==="tile"&&(H.nodes[zt]={type:"infill_tile",id:zt,is_intermediate:!0,tile_size:v}),O){const Y=P.width,Q=P.height;H.nodes[_i]={type:"img_resize",id:_i,is_intermediate:!0,width:Y,height:Q,image:t},H.nodes[Fn]={type:"img_resize",id:Fn,is_intermediate:!0,width:Y,height:Q},H.nodes[Ni]={type:"img_resize",id:Ni,is_intermediate:!0,width:N,height:E},H.nodes[Gl]={type:"img_resize",id:Gl,is_intermediate:!0,width:N,height:E},H.nodes[Li]={type:"img_resize",id:Li,is_intermediate:!0,width:N,height:E},H.nodes[we].width=Y,H.nodes[we].height=Q,H.nodes[mn].width=Y,H.nodes[mn].height=Q,H.edges.push({source:{node_id:_i,field:"image"},destination:{node_id:zt,field:"image"}},{source:{node_id:yi,field:"image"},destination:{node_id:Fn,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Ni,field:"image"}},{source:{node_id:Fn,field:"image"},destination:{node_id:Li,field:"image"}},{source:{node_id:zt,field:"image"},destination:{node_id:Gl,field:"image"}},{source:{node_id:Gl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Ni,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Li,field:"image"},destination:{node_id:me,field:"mask"}})}else H.nodes[zt]={...H.nodes[zt],image:t},H.nodes[we].width=N,H.nodes[we].height=E,H.nodes[mn].width=N,H.nodes[mn].height=E,H.nodes[zn]={...H.nodes[zn],image:t},H.edges.push({source:{node_id:zt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:yi,field:"image"},destination:{node_id:me,field:"mask"}});if(_!=="unmasked"&&(H.nodes[Dt]={type:"create_denoise_mask",id:Dt,is_intermediate:!0,fp32:R},H.edges.push({source:{node_id:zt,field:"image"},destination:{node_id:Dt,field:"image"}}),_==="mask"&&(O?H.edges.push({source:{node_id:Fn,field:"image"},destination:{node_id:Dt,field:"mask"}}):H.edges.push({source:{node_id:yi,field:"image"},destination:{node_id:Dt,field:"mask"}})),_==="edge"&&(H.nodes[ur]={type:"mask_edge",id:ur,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},O?H.edges.push({source:{node_id:Fn,field:"image"},destination:{node_id:ur,field:"image"}}):H.edges.push({source:{node_id:yi,field:"image"},destination:{node_id:ur,field:"image"}}),H.edges.push({source:{node_id:ur,field:"image"},destination:{node_id:Dt,field:"mask"}})),H.edges.push({source:{node_id:Dt,field:"denoise_mask"},destination:{node_id:vt,field:"denoise_mask"}})),f){const Y={id:Lr,type:"rand_int"};H.nodes[Lr]=Y,H.edges.push({source:{node_id:Lr,field:"value"},destination:{node_id:Kn,field:"start"}})}else H.nodes[Kn].start=d;return(x||C)&&(us(e,H,I),I=Fr),T&&(yh(e,H,vt,I,t),(x||C)&&(I=Es)),cs(e,H,I),mh(e,H,Re,I),as(e,H,Re),e.system.shouldUseNSFWChecker&&ls(e,H,me),e.system.shouldUseWatermarker&&ds(e,H,me),H},_we=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=l==="fp32",v=["auto","manual"].includes(_),{shouldUseSDXLRefiner:S,refinerStart:w,shouldConcatSDXLStylePrompt:x}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const C=d?c:Fs.shouldUseCpuNoise,A=i.model_type==="onnx";let T=A?RS:Ii;const k=A?"onnx_model_loader":"sdxl_model_loader",L=A?{type:"t2l_onnx",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:S?w:1},{craftedPositiveStylePrompt:N,craftedNegativeStylePrompt:E}=rd(e,x),P={id:MS,nodes:{[T]:{type:k,id:T,is_intermediate:!0,model:i},[Be]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Be,is_intermediate:!0,prompt:n,style:N},[Ve]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Ve,is_intermediate:!0,prompt:r,style:E},[we]:{type:"noise",id:we,is_intermediate:!0,width:v?b.width:p,height:v?b.height:m,use_cpu:C},[L.id]:L},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}}]};return v?(P.nodes[qe]={id:qe,type:A?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},P.nodes[me]={id:me,type:"img_resize",is_intermediate:!y,width:p,height:m},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(P.nodes[me]={type:A?"l2i_onnx":"l2i",id:me,is_intermediate:!y,fp32:g},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),P.nodes[kt]={id:kt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:v?b.width:p,height:v?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:C?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},P.edges.push({source:{node_id:kt,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(f||h)&&(us(e,P,T),T=Fr),S&&(yh(e,P,Re,T),(f||h)&&(T=Es)),mh(e,P,Re,T),cs(e,P,T),$u(e,P),as(e,P,Re),e.system.shouldUseNSFWChecker&&ls(e,P,me),e.system.shouldUseWatermarker&&ds(e,P,me),P},bwe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=l==="fp32",v=["auto","manual"].includes(_);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const S=d?c:Fs.shouldUseCpuNoise,w=i.model_type==="onnx";let x=w?RS:Lu;const C=w?"onnx_model_loader":"main_model_loader",A=w?{type:"t2l_onnx",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},T={id:Uz,nodes:{[x]:{type:C,id:x,is_intermediate:!0,model:i},[Vt]:{type:"clip_skip",id:Vt,is_intermediate:!0,skipped_layers:u},[Be]:{type:w?"prompt_onnx":"compel",id:Be,is_intermediate:!0,prompt:n},[Ve]:{type:w?"prompt_onnx":"compel",id:Ve,is_intermediate:!0,prompt:r},[we]:{type:"noise",id:we,is_intermediate:!0,width:v?b.width:p,height:v?b.height:m,use_cpu:S},[A.id]:A},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:Vt,field:"clip"}},{source:{node_id:Vt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Vt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}}]};return v?(T.nodes[qe]={id:qe,type:w?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},T.nodes[me]={id:me,type:"img_resize",is_intermediate:!y,width:p,height:m},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(T.nodes[me]={type:w?"l2i_onnx":"l2i",id:me,is_intermediate:!y,fp32:g},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:me,field:"latents"}})),T.nodes[kt]={id:kt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:v?b.width:p,height:v?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 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this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=nU()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!o0}}class wxe extends jT{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=oxe(Number.MAX_SAFE_INTEGER,this.socket.binaryType),r=t.readable.pipeThrough(n).getReader(),i=ixe();i.readable.pipeTo(t.writable),this.writer=i.writable.getWriter();const o=()=>{r.read().then(({done:a,value:l})=>{a||(this.onPacket(l),o())}).catch(a=>{})};o();const s={type:"open"};this.query.sid&&(s.data=`{"sid":"${this.query.sid}"}`),this.writer.write(s).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;this.writer.write(r).then(()=>{i&&VT(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const xxe={websocket:Sxe,webtransport:wxe,polling:_xe},Cxe=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,Exe=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function p3(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=Cxe.exec(e||""),o={},s=14;for(;s--;)o[Exe[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=Txe(o,o.path),o.queryKey=Axe(o,o.query),o}function Txe(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function Axe(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let oU=class Rd extends Pr{constructor(t,n={}){super(),this.binaryType=bxe,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=p3(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=p3(n.host).host),NS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=hxe(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Jz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new xxe[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Rd.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Rd.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Rd.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Rd.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),this.resetPingTimeout(),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=cxe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Rd.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};oU.protocol=Jz;function kxe(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=p3(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const Pxe=typeof ArrayBuffer=="function",Rxe=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,sU=Object.prototype.toString,Oxe=typeof Blob=="function"||typeof Blob<"u"&&sU.call(Blob)==="[object BlobConstructor]",Ixe=typeof File=="function"||typeof File<"u"&&sU.call(File)==="[object FileConstructor]";function GT(e){return Pxe&&(e instanceof ArrayBuffer||Rxe(e))||Oxe&&e instanceof Blob||Ixe&&e instanceof File}function V0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(V0(e[n]))return!0;return!1}if(GT(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return V0(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&V0(e[n]))return!0;return!1}function Mxe(e){const t=[],n=e.data,r=e;return r.data=g3(n,t),r.attachments=t.length,{packet:r,buffers:t}}function g3(e,t){if(!e)return e;if(GT(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=g3(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=g3(e[r],t));return n}return e}function Nxe(e,t){return e.data=m3(e.data,t),delete e.attachments,e}function m3(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=m3(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=m3(e[n],t));return e}const Dxe=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],Lxe=5;var Mt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Mt||(Mt={}));class $xe{constructor(t){this.replacer=t}encode(t){return(t.type===Mt.EVENT||t.type===Mt.ACK)&&V0(t)?this.encodeAsBinary({type:t.type===Mt.EVENT?Mt.BINARY_EVENT:Mt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===Mt.BINARY_EVENT||t.type===Mt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=Mxe(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function UR(e){return Object.prototype.toString.call(e)==="[object Object]"}class HT extends Pr{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===Mt.BINARY_EVENT;r||n.type===Mt.BINARY_ACK?(n.type=r?Mt.EVENT:Mt.ACK,this.reconstructor=new Fxe(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(GT(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(Mt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===Mt.BINARY_EVENT||r.type===Mt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(HT.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case Mt.CONNECT:return UR(n);case Mt.DISCONNECT:return n===void 0;case Mt.CONNECT_ERROR:return typeof n=="string"||UR(n);case Mt.EVENT:case Mt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&Dxe.indexOf(n[0])===-1);case Mt.ACK:case Mt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class Fxe{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=Nxe(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const Bxe=Object.freeze(Object.defineProperty({__proto__:null,Decoder:HT,Encoder:$xe,get PacketType(){return Mt},protocol:Lxe},Symbol.toStringTag,{value:"Module"}));function _s(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const zxe=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class aU extends Pr{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[_s(t,"open",this.onopen.bind(this)),_s(t,"packet",this.onpacket.bind(this)),_s(t,"error",this.onerror.bind(this)),_s(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(zxe.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:Mt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:Mt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Mt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Mt.EVENT:case Mt.BINARY_EVENT:this.onevent(t);break;case Mt.ACK:case Mt.BINARY_ACK:this.onack(t);break;case Mt.DISCONNECT:this.ondisconnect();break;case Mt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:Mt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Mt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return 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S4e{constructor(t){this.openGlobalLock=null,this.isDragging=!1,this.currentDirection=null,this.originPoint={x:0,y:0},this.constraints=!1,this.hasMutatedConstraints=!1,this.elastic=Tr(),this.visualElement=t}start(t,{snapToCursor:n=!1}={}){const{presenceContext:r}=this.visualElement;if(r&&r.isPresent===!1)return;const i=l=>{this.stopAnimation(),n&&this.snapToCursor(HS(l,"page").point)},o=(l,u)=>{const{drag:c,dragPropagation:d,onDragStart:f}=this.getProps();if(c&&!d&&(this.openGlobalLock&&this.openGlobalLock(),this.openGlobalLock=JU(c),!this.openGlobalLock))return;this.isDragging=!0,this.currentDirection=null,this.resolveConstraints(),this.visualElement.projection&&(this.visualElement.projection.isAnimationBlocked=!0,this.visualElement.projection.target=void 0),Ks(p=>{let m=this.getAxisMotionValue(p).get()||0;if(pa.test(m)){const{projection:b}=this.visualElement;if(b&&b.layout){const 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&Tn.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!d0(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let 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0)||0)}snapToCursor(t){Ks(n=>{const{drag:r}=this.getProps();if(!d0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-nr(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!qd(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};Ks(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=d4e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),Ks(s=>{if(!d0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(nr(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;b4e.set(this.visualElement,this);const t=this.visualElement.current,n=Ya(t,"pointerdown",l=>{const{drag:u,dragListener:c=!0}=this.getProps();u&&c&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();qd(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=qa(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(Ks(c=>{const d=this.getAxisMotionValue(c);d&&(this.originPoint[c]+=l[c].translate,d.set(d.get()+l[c].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=D3,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function 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this.session,i&&Tn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=Ya(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function E4e(){const e=M.useContext(Gm);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=M.useId();return M.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function FMe(){return T4e(M.useContext(Gm))}function T4e(e){return e===null?!0:e.isPresent}const Y0={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function UO(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const Xh={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(tt.test(e))e=parseFloat(e);else return e;const n=UO(e,t.target.x),r=UO(e,t.target.y);return`${n}% ${r}%`}},A4e={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=wu.parse(e);if(i.length>5)return r;const 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P4e={borderRadius:{...Xh,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:Xh,borderTopRightRadius:Xh,borderBottomLeftRadius:Xh,borderBottomRightRadius:Xh,boxShadow:A4e},jj=["TopLeft","TopRight","BottomLeft","BottomRight"],R4e=jj.length,jO=e=>typeof e=="string"?parseFloat(e):e,VO=e=>typeof e=="number"||tt.test(e);function O4e(e,t,n,r,i,o){i?(e.opacity=nr(0,n.opacity!==void 0?n.opacity:1,I4e(r)),e.opacityExit=nr(t.opacity!==void 0?t.opacity:1,0,M4e(r))):o&&(e.opacity=nr(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<R4e;s++){const a=`border${jj[s]}Radius`;let l=GO(t,a),u=GO(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||VO(l)===VO(u)?(e[a]=Math.max(nr(jO(l),jO(u),r),0),(pa.test(u)||pa.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=nr(t.rotate||0,n.rotate||0,r))}function GO(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const I4e=Vj(0,.5,m4),M4e=Vj(.5,.95,cr);function Vj(e,t,n){return r=>r<e?0:r>t?1:n(Yg(e,t,r))}function HO(e,t){e.min=t.min,e.max=t.max}function Vo(e,t){HO(e.x,t.x),HO(e.y,t.y)}function qO(e,t,n,r,i){return e-=t,e=U1(e,1/n,r),i!==void 0&&(e=U1(e,1/i,r)),e}function N4e(e,t=0,n=1,r=.5,i,o=e,s=e){if(pa.test(t)&&(t=parseFloat(t),t=nr(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=nr(o.min,o.max,r);e===o&&(a-=t),e.min=qO(e.min,t,n,a,i),e.max=qO(e.max,t,n,a,i)}function WO(e,t,[n,r,i],o,s){N4e(e,t[n],t[r],t[i],t.scale,o,s)}const D4e=["x","scaleX","originX"],L4e=["y","scaleY","originY"];function KO(e,t,n,r){WO(e.x,t,D4e,n?n.x:void 0,r?r.x:void 0),WO(e.y,t,L4e,n?n.y:void 0,r?r.y:void 0)}function XO(e){return e.translate===0&&e.scale===1}function Gj(e){return XO(e.x)&&XO(e.y)}function $4e(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function Hj(e,t){return Math.round(e.x.min)===Math.round(t.x.min)&&Math.round(e.x.max)===Math.round(t.x.max)&&Math.round(e.y.min)===Math.round(t.y.min)&&Math.round(e.y.max)===Math.round(t.y.max)}function QO(e){return Do(e.x)/Do(e.y)}class F4e{constructor(){this.members=[]}add(t){S4(this.members,t),t.scheduleRender()}remove(t){if(w4(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function YO(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:c}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),c&&(r+=`rotateY(${c}deg) `)}const 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0:t()){this.id=H4e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ju.totalNodes=Ju.resolvedTargetDeltas=Ju.recalculatedProjection=0,this.nodes.forEach(K4e),this.nodes.forEach(J4e),this.nodes.forEach(eAe),this.nodes.forEach(X4e),j4e(Ju)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new z4e)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new x4),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=V4e(s),this.instance=s;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=U4e(f,250),Y0.hasAnimatedSinceResize&&(Y0.hasAnimatedSinceResize=!1,this.nodes.forEach(tI))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||oAe,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),y=!this.targetLayout||!Hj(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(y||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const v={...Rj(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(v.delay=0,v.type=!1),this.startAnimation(v)}else f||tI(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,ll(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(tAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(eI);return}this.isUpdating||this.nodes.forEach(Y4e),this.isUpdating=!1,this.nodes.forEach(Z4e),this.nodes.forEach(q4e),this.nodes.forEach(W4e),this.clearAllSnapshots();const a=performance.now();Ri.delta=Su(0,1e3/60,a-Ri.timestamp),Ri.timestamp=a,Ri.isProcessing=!0,Fw.update.process(Ri),Fw.preRender.process(Ri),Fw.render.process(Ri),Ri.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(Q4e),this.sharedNodes.forEach(nAe)}scheduleUpdateProjection(){Tn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){Tn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Tr(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Gj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;s&&(a||Zu(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),sAe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Tr();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(Ol(a.x,l.offset.x),Ol(a.y,l.offset.y)),a}removeElementScroll(s){const a=Tr();Vo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){Vo(a,s);const{scroll:f}=this.root;f&&(Ol(a.x,-f.offset.x),Ol(a.y,-f.offset.y))}Ol(a.x,c.offset.x),Ol(a.y,c.offset.y)}}return a}applyTransform(s,a=!1){const l=Tr();Vo(l,s);for(let u=0;u<this.path.length;u++){const c=this.path[u];!a&&c.options.layoutScroll&&c.scroll&&c!==c.root&&Xd(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),Zu(c.latestValues)&&Xd(l,c.latestValues)}return Zu(this.latestValues)&&Xd(l,this.latestValues),l}removeTransform(s){const a=Tr();Vo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Zu(u.latestValues))continue;L3(u.latestValues)&&u.updateSnapshot();const c=Tr(),d=u.measurePageBox();Vo(c,d),KO(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return Zu(this.latestValues)&&KO(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Ri.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=Ri.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Tr(),this.relativeTargetOrigin=Tr(),Pp(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),Vo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Tr(),this.targetWithTransforms=Tr()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),a4e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):Vo(this.target,this.layout.layoutBox),Bj(this.target,this.targetDelta)):Vo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Tr(),this.relativeTargetOrigin=Tr(),Pp(this.relativeTargetOrigin,this.target,h.target),Vo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ju.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||L3(this.parent.latestValues)||Fj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===Ri.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;Vo(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;m4e(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:p}=a;if(!p){this.projectionTransform&&(this.projectionDelta=Kd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Kd(),this.projectionDeltaWithTransform=Kd());const m=this.projectionTransform;kp(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=YO(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Ju.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=Kd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const f=Tr(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,b=this.getStack(),_=!b||b.members.length<=1,y=!!(m&&!_&&this.options.crossfade===!0&&!this.path.some(iAe));this.animationProgress=0;let g;this.mixTargetDelta=v=>{const S=v/1e3;nI(d.x,s.x,S),nI(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Pp(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),rAe(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&$4e(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=Tr()),Vo(g,this.relativeTarget)),m&&(this.animationValues=c,O4e(c,u,this.latestValues,S,y,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(ll(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=Tn.update(()=>{Y0.hasAnimatedSinceResize=!0,this.currentAnimation=G4e(0,JO,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(JO),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Wj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Tr();const d=Do(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=Do(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}Vo(a,l),Xd(a,c),kp(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new F4e),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c<ZO.length;c++){const d="rotate"+ZO[c];l[d]&&(u[d]=l[d],s.setStaticValue(d,0))}s.render();for(const c in u)s.setStaticValue(c,u[c]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Q0(s.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=Q0(s.pointerEvents)||""),this.hasProjected&&!Zu(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=YO(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(a=f.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in N1){if(f[m]===void 0)continue;const{correct:b,applyTo:_}=N1[m],y=u.transform==="none"?f[m]:b(f[m],d);if(_){const g=_.length;for(let v=0;v<g;v++)u[_[v]]=y}else u[m]=y}return this.options.layoutId&&(u.pointerEvents=d===this?Q0(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(eI),this.root.sharedNodes.clear()}}}function q4e(e){e.updateLayout()}function W4e(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?Ks(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Do(f);f.min=r[d].min,f.max=f.min+h}):Wj(o,n.layoutBox,r)&&Ks(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Do(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=Kd();kp(a,r,n.layoutBox);const l=Kd();s?kp(l,e.applyTransform(i,!0),n.measuredBox):kp(l,r,n.layoutBox);const u=!Gj(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=Tr();Pp(p,n.layoutBox,f.layoutBox);const m=Tr();Pp(m,r,h.layoutBox),Hj(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function K4e(e){Ju.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function X4e(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function Q4e(e){e.clearSnapshot()}function eI(e){e.clearMeasurements()}function Y4e(e){e.isLayoutDirty=!1}function Z4e(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function tI(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function J4e(e){e.resolveTargetDelta()}function eAe(e){e.calcProjection()}function tAe(e){e.resetRotation()}function nAe(e){e.removeLeadSnapshot()}function 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k=m.scrollTop+f.y,L=b===Cn.Down&&k<=S.y||b===Cn.Up&&k>=w.y;if(L&&!f.x){m.scrollTo({top:k,behavior:a});return}L?h.y=m.scrollTop-k:h.y=b===Cn.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,bf(W1(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}wV.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=SV,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function SI(e){return!!(e&&"distance"in e)}function wI(e){return!!(e&&"delay"in e)}class O4{constructor(t,n,r){var i;r===void 0&&(r=nPe(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=Sh(s),this.documentListeners=new Rp(this.document),this.listeners=new Rp(r),this.windowListeners=new Rp(Ji(s)),this.initialCoordinates=(i=tm(o))!=null?i:Ls,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(Ho.Resize,this.handleCancel),this.windowListeners.add(Ho.DragStart,bI),this.windowListeners.add(Ho.VisibilityChange,this.handleCancel),this.windowListeners.add(Ho.ContextMenu,bI),this.documentListeners.add(Ho.Keydown,this.handleKeydown),n){if(SI(n))return;if(wI(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(Ho.Click,rPe,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Ho.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=tm(t))!=null?n:Ls,u=W1(i,l);if(!r&&a){if(wI(a))return Jw(u,a.tolerance)?this.handleCancel():void 0;if(SI(a))return a.tolerance!=null&&Jw(u,a.tolerance)?this.handleCancel():Jw(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===Cn.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const oPe={move:{name:"pointermove"},end:{name:"pointerup"}};class xV extends O4{constructor(t){const{event:n}=t,r=Sh(n.target);super(t,oPe,r)}}xV.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const sPe={move:{name:"mousemove"},end:{name:"mouseup"}};var K3;(function(e){e[e.RightClick=2]="RightClick"})(K3||(K3={}));class CV extends O4{constructor(t){super(t,sPe,Sh(t.event.target))}}CV.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===K3.RightClick?!1:(r==null||r({event:n}),!0)}}];const ex={move:{name:"touchmove"},end:{name:"touchend"}};class EV extends O4{constructor(t){super(t,ex)}static setup(){return window.addEventListener(ex.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(ex.move.name,t)};function t(){}}}EV.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Op;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Op||(Op={}));var X1;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(X1||(X1={}));function aPe(e){let{acceleration:t,activator:n=Op.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=X1.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=uPe({delta:d,disabled:!o}),[p,m]=yke(),b=M.useRef({x:0,y:0}),_=M.useRef({x:0,y:0}),y=M.useMemo(()=>{switch(n){case Op.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Op.DraggableRect:return i}},[n,i,l]),g=M.useRef(null),v=M.useCallback(()=>{const w=g.current;if(!w)return;const x=b.current.x*_.current.x,C=b.current.y*_.current.y;w.scrollBy(x,C)},[]),S=M.useMemo(()=>a===X1.TreeOrder?[...u].reverse():u,[a,u]);M.useEffect(()=>{if(!o||!u.length||!y){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),C=c[x];if(!C)continue;const{direction:A,speed:T}=Yke(w,C,y,t,f);for(const k of["x","y"])h[k][A[k]]||(T[k]=0,A[k]=0);if(T.x>0||T.y>0){m(),g.current=w,p(v,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,v,r,m,o,s,JSON.stringify(y),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const lPe={x:{[ei.Backward]:!1,[ei.Forward]:!1},y:{[ei.Backward]:!1,[ei.Forward]:!1}};function uPe(e){let{delta:t,disabled:n}=e;const r=q1(t);return Qm(i=>{if(n||!r||!i)return lPe;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[ei.Backward]:i.x[ei.Backward]||o.x===-1,[ei.Forward]:i.x[ei.Forward]||o.x===1},y:{[ei.Backward]:i.y[ei.Backward]||o.y===-1,[ei.Forward]:i.y[ei.Forward]||o.y===1}}},[n,t,r])}function cPe(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Qm(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function dPe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var rm;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(rm||(rm={}));var X3;(function(e){e.Optimized="optimized"})(X3||(X3={}));const xI=new Map;function fPe(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=M.useState(null),{frequency:a,measure:l,strategy:u}=i,c=M.useRef(e),d=b(),f=em(d),h=M.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(y=>y===null?_:y.concat(_.filter(g=>!y.includes(g))))},[f]),p=M.useRef(null),m=Qm(_=>{if(d&&!n)return xI;if(!_||_===xI||c.current!==e||o!=null){const y=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){y.set(g.id,g.rect.current);continue}const v=g.node.current,S=v?new R4(l(v),v):null;g.rect.current=S,S&&y.set(g.id,S)}return y}return _},[e,o,n,d,l]);return M.useEffect(()=>{c.current=e},[e]),M.useEffect(()=>{d||h()},[n,d]),M.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),M.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case rm.Always:return!1;case rm.BeforeDragging:return n;default:return!n}}}function I4(e,t){return Qm(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function hPe(e,t){return I4(e,t)}function pPe(e){let{callback:t,disabled:n}=e;const r=KS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function QS(e){let{callback:t,disabled:n}=e;const r=KS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function gPe(e){return new R4(Ym(e),e)}function CI(e,t,n){t===void 0&&(t=gPe);const[r,i]=M.useReducer(a,null),o=pPe({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=QS({callback:i});return _a(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function mPe(e){const t=I4(e);return fV(e,t)}const EI=[];function yPe(e){const t=M.useRef(e),n=Qm(r=>e?r&&r!==EI&&e&&t.current&&e.parentNode===t.current.parentNode?r:P4(e):EI,[e]);return M.useEffect(()=>{t.current=e},[e]),n}function vPe(e){const[t,n]=M.useState(null),r=M.useRef(e),i=M.useCallback(o=>{const s=Zw(o.target);s&&n(a=>a?(a.set(s,W3(s)),new Map(a)):null)},[]);return M.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=Zw(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,W3(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=Zw(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),M.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>bf(o,s),Ls):_V(e):Ls,[e,t])}function TI(e,t){t===void 0&&(t=[]);const n=M.useRef(null);return M.useEffect(()=>{n.current=null},t),M.useEffect(()=>{const r=e!==Ls;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?W1(e,n.current):Ls}function _Pe(e){M.useEffect(()=>{if(!WS)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function bPe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function TV(e){return M.useMemo(()=>e?Wke(e):null,[e])}const tx=[];function SPe(e,t){t===void 0&&(t=Ym);const[n]=e,r=TV(n?Ji(n):null),[i,o]=M.useReducer(a,tx),s=QS({callback:o});return e.length>0&&i===tx&&o(),_a(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>yV(l)?r:new R4(t(l),l)):tx}}function AV(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Xm(t)?t:e}function wPe(e){let{measure:t}=e;const[n,r]=M.useState(null),i=M.useCallback(u=>{for(const{target:c}of u)if(Xm(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=QS({callback:i}),s=M.useCallback(u=>{const c=AV(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=H1(s);return M.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const xPe=[{sensor:xV,options:{}},{sensor:wV,options:{}}],CPe={current:{}},Z0={draggable:{measure:_I},droppable:{measure:_I,strategy:rm.WhileDragging,frequency:X3.Optimized},dragOverlay:{measure:Ym}};class Ip extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const EPe={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Ip,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:K1},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Z0,measureDroppableContainers:K1,windowRect:null,measuringScheduled:!1},kV={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:K1,draggableNodes:new Map,over:null,measureDroppableContainers:K1},Zm=M.createContext(kV),PV=M.createContext(EPe);function TPe(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new Ip}}}function APe(e,t){switch(t.type){case $r.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case $r.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case $r.DragEnd:case $r.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case $r.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new Ip(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case $r.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const s=new Ip(e.droppable.containers);return s.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:s}}}case $r.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new Ip(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function kPe(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=M.useContext(Zm),o=q1(r),s=q1(n==null?void 0:n.id);return M.useEffect(()=>{if(!t&&!r&&o&&s!=null){if(!k4(o)||document.activeElement===o.target)return;const a=i.get(s);if(!a)return;const{activatorNode:l,node:u}=a;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=bke(c);if(d){d.focus();break}}})}},[r,t,i,s,o]),null}function RV(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function PPe(e){return M.useMemo(()=>({draggable:{...Z0.draggable,...e==null?void 0:e.draggable},droppable:{...Z0.droppable,...e==null?void 0:e.droppable},dragOverlay:{...Z0.dragOverlay,...e==null?void 0:e.dragOverlay}}),[e==null?void 0:e.draggable,e==null?void 0:e.droppable,e==null?void 0:e.dragOverlay])}function RPe(e){let{activeNode:t,measure:n,initialRect:r,config:i=!0}=e;const o=M.useRef(!1),{x:s,y:a}=typeof i=="boolean"?{x:i,y:i}:i;_a(()=>{if(!s&&!a||!t){o.current=!1;return}if(o.current||!r)return;const u=t==null?void 0:t.node.current;if(!u||u.isConnected===!1)return;const c=n(u),d=fV(c,r);if(s||(d.x=0),a||(d.y=0),o.current=!0,Math.abs(d.x)>0||Math.abs(d.y)>0){const f=pV(u);f&&f.scrollBy({top:d.y,left:d.x})}},[t,s,a,r,n])}const YS=M.createContext({...Ls,scaleX:1,scaleY:1});var Il;(function(e){e[e.Uninitialized=0]="Uninitialized",e[e.Initializing=1]="Initializing",e[e.Initialized=2]="Initialized"})(Il||(Il={}));const OPe=M.memo(function(t){var n,r,i,o;let{id:s,accessibility:a,autoScroll:l=!0,children:u,sensors:c=xPe,collisionDetection:d=Bke,measuring:f,modifiers:h,...p}=t;const m=M.useReducer(APe,void 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ie=CI(Q,U.draggable.measure,ee),ge=CI(Q?Q.parentElement:null),ae=M.useRef({activatorEvent:null,active:null,activeNode:Q,collisionRect:null,collisions:null,droppableRects:V,draggableNodes:C,draggingNode:null,draggingNodeRect:null,droppableContainers:T,over:null,scrollableAncestors:[],scrollAdjustedTranslate:null}),dt=T.getNodeFor((n=ae.current.over)==null?void 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diff --git a/invokeai/frontend/web/dist/assets/index-f6c3f475.js b/invokeai/frontend/web/dist/assets/index-f6c3f475.js
new file mode 100644
index 0000000000..4bfec9568f
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/index-f6c3f475.js
@@ -0,0 +1,128 @@
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l=t.memoizedProps;switch(t.type){case"button":case"input":case"select":case"textarea":l.autoFocus&&n.focus();break;case"img":l.src&&(n.src=l.src)}}break;case 6:break;case 4:break;case 12:break;case 13:if(t.memoizedState===null){var u=t.alternate;if(u!==null){var c=u.memoizedState;if(c!==null){var d=c.dehydrated;d!==null&&Bp(d)}}}break;case 19:case 17:case 21:case 22:case 23:case 25:break;default:throw Error(se(163))}Ni||t.flags&512&&Gx(t)}catch(f){ur(t,t.return,f)}}if(t===e){De=null;break}if(n=t.sibling,n!==null){n.return=t.return,De=n;break}De=t.return}}function FA(e){for(;De!==null;){var t=De;if(t===e){De=null;break}var n=t.sibling;if(n!==null){n.return=t.return,De=n;break}De=t.return}}function BA(e){for(;De!==null;){var t=De;try{switch(t.tag){case 0:case 11:case 15:var n=t.return;try{a_(4,t)}catch(l){ur(t,n,l)}break;case 1:var r=t.stateNode;if(typeof r.componentDidMount=="function"){var i=t.return;try{r.componentDidMount()}catch(l){ur(t,i,l)}}var o=t.return;try{Gx(t)}catch(l){ur(t,o,l)}break;case 5:var s=t.return;try{Gx(t)}catch(l){ur(t,s,l)}}}catch(l){ur(t,t.return,l)}if(t===e){De=null;break}var a=t.sibling;if(a!==null){a.return=t.return,De=a;break}De=t.return}}var HH=Math.ceil,_v=dl.ReactCurrentDispatcher,DE=dl.ReactCurrentOwner,Jo=dl.ReactCurrentBatchConfig,Bt=0,ri=null,Pr=null,Si=0,To=0,Hd=Tu(0),zr=0,Qp=null,Tc=0,l_=0,LE=0,yp=null,oo=null,$E=0,Pf=1/0,$a=null,bv=!1,Wx=null,Zl=null,gy=!1,Ul=null,Sv=0,vp=0,Kx=null,C0=-1,E0=0;function Ki(){return Bt&6?vr():C0!==-1?C0:C0=vr()}function Jl(e){return e.mode&1?Bt&2&&Si!==0?Si&-Si:kH.transition!==null?(E0===0&&(E0=v9()),E0):(e=ln,e!==0||(e=window.event,e=e===void 0?16:E9(e.type)),e):1}function Rs(e,t,n,r){if(50<vp)throw vp=0,Kx=null,Error(se(185));sm(e,n,r),(!(Bt&2)||e!==ri)&&(e===ri&&(!(Bt&2)&&(l_|=n),zr===4&&Ll(e,Si)),po(e,r),n===1&&Bt===0&&!(t.mode&1)&&(Pf=vr()+500,i_&&Au()))}function po(e,t){var n=e.callbackNode;kG(e,t);var r=iv(e,e===ri?Si:0);if(r===0)n!==null&&K4(n),e.callbackNode=null,e.callbackPriority=0;else if(t=r&-r,e.callbackPriority!==t){if(n!=null&&K4(n),t===1)e.tag===0?AH(zA.bind(null,e)):G9(zA.bind(null,e)),xH(function(){!(Bt&6)&&Au()}),n=null;else{switch(_9(r)){case 1:n=uE;break;case 4:n=m9;break;case 16:n=rv;break;case 536870912:n=y9;break;default:n=rv}n=VM(n,LM.bind(null,e))}e.callbackPriority=t,e.callbackNode=n}}function LM(e,t){if(C0=-1,E0=0,Bt&6)throw Error(se(327));var n=e.callbackNode;if(rf()&&e.callbackNode!==n)return null;var r=iv(e,e===ri?Si:0);if(r===0)return null;if(r&30||r&e.expiredLanes||t)t=wv(e,r);else{t=r;var i=Bt;Bt|=2;var o=FM();(ri!==e||Si!==t)&&($a=null,Pf=vr()+500,mc(e,t));do try{KH();break}catch(a){$M(e,a)}while(1);wE(),_v.current=o,Bt=i,Pr!==null?t=0:(ri=null,Si=0,t=zr)}if(t!==0){if(t===2&&(i=Sx(e),i!==0&&(r=i,t=Xx(e,i))),t===1)throw 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e.current.memoizedState.isDehydrated&&(mc(e,t).flags|=256),e=wv(e,t),e!==2&&(t=oo,oo=n,t!==null&&Qx(t)),e}function Qx(e){oo===null?oo=e:oo.push.apply(oo,e)}function qH(e){for(var t=e;;){if(t.flags&16384){var n=t.updateQueue;if(n!==null&&(n=n.stores,n!==null))for(var r=0;r<n.length;r++){var i=n[r],o=i.getSnapshot;i=i.value;try{if(!Ds(o(),i))return!1}catch{return!1}}}if(n=t.child,t.subtreeFlags&16384&&n!==null)n.return=t,t=n;else{if(t===e)break;for(;t.sibling===null;){if(t.return===null||t.return===e)return!0;t=t.return}t.sibling.return=t.return,t=t.sibling}}return!0}function Ll(e,t){for(t&=~LE,t&=~l_,e.suspendedLanes|=t,e.pingedLanes&=~t,e=e.expirationTimes;0<t;){var n=31-Ps(t),r=1<<n;e[n]=-1,t&=~r}}function zA(e){if(Bt&6)throw Error(se(327));rf();var t=iv(e,0);if(!(t&1))return po(e,vr()),null;var n=wv(e,t);if(e.tag!==0&&n===2){var r=Sx(e);r!==0&&(t=r,n=Xx(e,r))}if(n===1)throw n=Qp,mc(e,0),Ll(e,t),po(e,vr()),n;if(n===6)throw Error(se(345));return 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o=n.lanes|n.childLanes;if(PG(e,o),e===ri&&(Pr=ri=null,Si=0),!(n.subtreeFlags&2064)&&!(n.flags&2064)||gy||(gy=!0,VM(rv,function(){return rf(),null})),o=(n.flags&15990)!==0,n.subtreeFlags&15990||o){o=Jo.transition,Jo.transition=null;var s=ln;ln=1;var a=Bt;Bt|=4,DE.current=null,VH(e,n),NM(n,e),gH(Ax),ov=!!Tx,Ax=Tx=null,e.current=n,GH(n),bG(),Bt=a,ln=s,Jo.transition=o}else e.current=n;if(gy&&(gy=!1,Ul=e,Sv=i),o=e.pendingLanes,o===0&&(Zl=null),xG(n.stateNode),po(e,vr()),t!==null)for(r=e.onRecoverableError,n=0;n<t.length;n++)i=t[n],r(i.value,{componentStack:i.stack,digest:i.digest});if(bv)throw bv=!1,e=Wx,Wx=null,e;return Sv&1&&e.tag!==0&&rf(),o=e.pendingLanes,o&1?e===Kx?vp++:(vp=0,Kx=e):vp=0,Au(),null}function rf(){if(Ul!==null){var e=_9(Sv),t=Jo.transition,n=ln;try{if(Jo.transition=null,ln=16>e?16:e,Ul===null)var r=!1;else{if(e=Ul,Ul=null,Sv=0,Bt&6)throw Error(se(331));var i=Bt;for(Bt|=4,De=e.current;De!==null;){var o=De,s=o.child;if(De.flags&16){var a=o.deletions;if(a!==null){for(var l=0;l<a.length;l++){var u=a[l];for(De=u;De!==null;){var c=De;switch(c.tag){case 0:case 11:case 15:mp(8,c,o)}var d=c.child;if(d!==null)d.return=c,De=d;else for(;De!==null;){c=De;var f=c.sibling,h=c.return;if(IM(c),c===u){De=null;break}if(f!==null){f.return=h,De=f;break}De=h}}}var p=o.alternate;if(p!==null){var m=p.child;if(m!==null){p.child=null;do{var b=m.sibling;m.sibling=null,m=b}while(m!==null)}}De=o}}if(o.subtreeFlags&2064&&s!==null)s.return=o,De=s;else e:for(;De!==null;){if(o=De,o.flags&2048)switch(o.tag){case 0:case 11:case 15:mp(9,o,o.return)}var _=o.sibling;if(_!==null){_.return=o.return,De=_;break e}De=o.return}}var y=e.current;for(De=y;De!==null;){s=De;var g=s.child;if(s.subtreeFlags&2064&&g!==null)g.return=s,De=g;else e:for(s=y;De!==null;){if(a=De,a.flags&2048)try{switch(a.tag){case 0:case 11:case 15:a_(9,a)}}catch(S){ur(a,a.return,S)}if(a===s){De=null;break e}var v=a.sibling;if(v!==null){v.return=a.return,De=v;break e}De=a.return}}if(Bt=i,Au(),la&&typeof la.onPostCommitFiberRoot=="function")try{la.onPostCommitFiberRoot(J1,e)}catch{}r=!0}return r}finally{ln=n,Jo.transition=t}}return!1}function UA(e,t,n){t=kf(n,t),t=bM(e,t,1),e=Yl(e,t,1),t=Ki(),e!==null&&(sm(e,1,t),po(e,t))}function ur(e,t,n){if(e.tag===3)UA(e,e,n);else for(;t!==null;){if(t.tag===3){UA(t,e,n);break}else if(t.tag===1){var r=t.stateNode;if(typeof t.type.getDerivedStateFromError=="function"||typeof r.componentDidCatch=="function"&&(Zl===null||!Zl.has(r))){e=kf(n,e),e=SM(t,e,1),t=Yl(t,e,1),e=Ki(),t!==null&&(sm(t,1,e),po(t,e));break}}t=t.return}}function QH(e,t,n){var r=e.pingCache;r!==null&&r.delete(t),t=Ki(),e.pingedLanes|=e.suspendedLanes&n,ri===e&&(Si&n)===n&&(zr===4||zr===3&&(Si&130023424)===Si&&500>vr()-$E?mc(e,0):LE|=n),po(e,t)}function UM(e,t){t===0&&(e.mode&1?(t=oy,oy<<=1,!(oy&130023424)&&(oy=4194304)):t=1);var n=Ki();e=il(e,t),e!==null&&(sm(e,t,n),po(e,n))}function YH(e){var t=e.memoizedState,n=0;t!==null&&(n=t.retryLane),UM(e,n)}function ZH(e,t){var 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least":"over"} ${e.minimum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${e.minimum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${new Date(Number(e.minimum))}`:n="Invalid input";break;case de.too_big:e.type==="array"?n=`Array must contain ${e.exact?"exactly":e.inclusive?"at most":"less than"} ${e.maximum} element(s)`:e.type==="string"?n=`String must contain ${e.exact?"exactly":e.inclusive?"at most":"under"} ${e.maximum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="bigint"?n=`BigInt must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly":e.inclusive?"smaller than or equal to":"smaller than"} ${new Date(Number(e.maximum))}`:n="Invalid input";break;case de.custom:n="Invalid input";break;case de.invalid_intersection_types:n="Intersection results could not be merged";break;case de.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case de.not_finite:n="Number must be finite";break;default:n=t.defaultError,Vt.assertNever(e)}return{message:n}};let sD=ag;function mte(e){sD=e}function Dv(){return sD}const Lv=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],s={...i,path:o};let a="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)a=u(s,{data:t,defaultError:a}).message;return{...i,path:o,message:i.message||a}},yte=[];function Me(e,t){const n=Lv({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,Dv(),ag].filter(r=>!!r)});e.common.issues.push(n)}class Ui{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return ft;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Ui.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return ft;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const ft=Object.freeze({status:"aborted"}),aD=e=>({status:"dirty",value:e}),Qi=e=>({status:"valid",value:e}),gC=e=>e.status==="aborted",mC=e=>e.status==="dirty",lg=e=>e.status==="valid",$v=e=>typeof Promise<"u"&&e instanceof Promise;var et;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(et||(et={}));class ya{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const qk=(e,t)=>{if(lg(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Os(e.common.issues);return this._error=n,this._error}}};function vt(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class wt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return $l(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:$l(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Ui,ctx:{common:t.parent.common,data:t.data,parsedType:$l(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if($v(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:$l(t)},o=this._parseSync({data:t,path:i.path,parent:i});return qk(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:$l(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await($v(i)?i:Promise.resolve(i));return qk(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:de.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new $s({schema:this,typeName:it.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Qa.create(this,this._def)}nullable(){return Ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Ms.create(this,this._def)}promise(){return Lf.create(this,this._def)}or(t){return fg.create([this,t],this._def)}and(t){return hg.create(this,t,this._def)}transform(t){return new $s({...vt(this._def),schema:this,typeName:it.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new vg({...vt(this._def),innerType:this,defaultValue:n,typeName:it.ZodDefault})}brand(){return new uD({typeName:it.ZodBranded,type:this,...vt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new Uv({...vt(this._def),innerType:this,catchValue:n,typeName:it.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return xm.create(this,t)}readonly(){return Vv.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const vte=/^c[^\s-]{8,}$/i,_te=/^[a-z][a-z0-9]*$/,bte=/[0-9A-HJKMNP-TV-Z]{26}/,Ste=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,wte=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,xte=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,Cte=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,Ete=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,Tte=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Ate(e,t){return!!((t==="v4"||!t)&&Cte.test(e)||(t==="v6"||!t)&&Ete.test(e))}class ks extends wt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:de.invalid_string,...et.errToObj(r)}),this.nonempty=t=>this.min(1,et.errToObj(t)),this.trim=()=>new ks({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new ks({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new ks({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==Ie.string){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.string,received:o.parsedType}),ft}const r=new Ui;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:de.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:de.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Me(i,{code:de.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Me(i,{code:de.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")wte.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"email",code:de.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")xte.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"emoji",code:de.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")Ste.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"uuid",code:de.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")vte.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"cuid",code:de.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")_te.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"cuid2",code:de.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")bte.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"ulid",code:de.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Me(i,{validation:"url",code:de.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"regex",code:de.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Me(i,{code:de.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Me(i,{code:de.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Me(i,{code:de.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?Tte(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{code:de.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Ate(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"ip",code:de.invalid_string,message:o.message}),r.dirty()):Vt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new ks({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...et.errToObj(t)})}url(t){return this._addCheck({kind:"url",...et.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...et.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...et.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...et.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...et.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...et.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...et.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...et.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...et.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...et.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...et.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...et.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...et.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...et.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...et.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}ks.create=e=>{var t;return new ks({checks:[],typeName:it.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...vt(e)})};function kte(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class gu extends wt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==Ie.number){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.number,received:o.parsedType}),ft}let r;const i=new Ui;for(const o of this._def.checks)o.kind==="int"?Vt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Me(r,{code:de.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?kte(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Me(r,{code:de.not_finite,message:o.message}),i.dirty()):Vt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,et.toString(n))}gt(t,n){return this.setLimit("min",t,!1,et.toString(n))}lte(t,n){return this.setLimit("max",t,!0,et.toString(n))}lt(t,n){return this.setLimit("max",t,!1,et.toString(n))}setLimit(t,n,r,i){return new gu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:et.toString(i)}]})}_addCheck(t){return new gu({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:et.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:et.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:et.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:et.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:et.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:et.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:et.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:et.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:et.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Vt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}gu.create=e=>new gu({checks:[],typeName:it.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...vt(e)});class mu extends wt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==Ie.bigint){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.bigint,received:o.parsedType}),ft}let r;const i=new Ui;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Vt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,et.toString(n))}gt(t,n){return this.setLimit("min",t,!1,et.toString(n))}lte(t,n){return this.setLimit("max",t,!0,et.toString(n))}lt(t,n){return this.setLimit("max",t,!1,et.toString(n))}setLimit(t,n,r,i){return new mu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:et.toString(i)}]})}_addCheck(t){return new mu({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:et.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:et.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:et.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:et.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:et.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}mu.create=e=>{var t;return new mu({checks:[],typeName:it.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...vt(e)})};class ug extends wt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==Ie.boolean){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.boolean,received:r.parsedType}),ft}return Qi(t.data)}}ug.create=e=>new ug({typeName:it.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...vt(e)});class Pc extends wt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==Ie.date){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.date,received:o.parsedType}),ft}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_date}),ft}const r=new Ui;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:de.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:de.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Vt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new Pc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:et.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:et.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}Pc.create=e=>new Pc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:it.ZodDate,...vt(e)});class Fv extends wt{_parse(t){if(this._getType(t)!==Ie.symbol){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.symbol,received:r.parsedType}),ft}return Qi(t.data)}}Fv.create=e=>new Fv({typeName:it.ZodSymbol,...vt(e)});class cg extends wt{_parse(t){if(this._getType(t)!==Ie.undefined){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.undefined,received:r.parsedType}),ft}return Qi(t.data)}}cg.create=e=>new cg({typeName:it.ZodUndefined,...vt(e)});class dg extends wt{_parse(t){if(this._getType(t)!==Ie.null){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.null,received:r.parsedType}),ft}return Qi(t.data)}}dg.create=e=>new dg({typeName:it.ZodNull,...vt(e)});class Df extends wt{constructor(){super(...arguments),this._any=!0}_parse(t){return Qi(t.data)}}Df.create=e=>new Df({typeName:it.ZodAny,...vt(e)});class _c extends wt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Qi(t.data)}}_c.create=e=>new _c({typeName:it.ZodUnknown,...vt(e)});class al extends wt{_parse(t){const n=this._getOrReturnCtx(t);return Me(n,{code:de.invalid_type,expected:Ie.never,received:n.parsedType}),ft}}al.create=e=>new al({typeName:it.ZodNever,...vt(e)});class Bv extends wt{_parse(t){if(this._getType(t)!==Ie.undefined){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.void,received:r.parsedType}),ft}return Qi(t.data)}}Bv.create=e=>new Bv({typeName:it.ZodVoid,...vt(e)});class Ms extends wt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==Ie.array)return Me(n,{code:de.invalid_type,expected:Ie.array,received:n.parsedType}),ft;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Me(n,{code:s?de.too_big:de.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Me(n,{code:de.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Me(n,{code:de.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new ya(n,s,n.path,a)))).then(s=>Ui.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new ya(n,s,n.path,a)));return Ui.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Ms({...this._def,minLength:{value:t,message:et.toString(n)}})}max(t,n){return new Ms({...this._def,maxLength:{value:t,message:et.toString(n)}})}length(t,n){return new Ms({...this._def,exactLength:{value:t,message:et.toString(n)}})}nonempty(t){return this.min(1,t)}}Ms.create=(e,t)=>new Ms({type:e,minLength:null,maxLength:null,exactLength:null,typeName:it.ZodArray,...vt(t)});function kd(e){if(e instanceof er){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Qa.create(kd(r))}return new er({...e._def,shape:()=>t})}else return e instanceof Ms?new Ms({...e._def,type:kd(e.element)}):e instanceof Qa?Qa.create(kd(e.unwrap())):e instanceof Ic?Ic.create(kd(e.unwrap())):e instanceof va?va.create(e.items.map(t=>kd(t))):e}class er extends wt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Vt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==Ie.object){const u=this._getOrReturnCtx(t);return Me(u,{code:de.invalid_type,expected:Ie.object,received:u.parsedType}),ft}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof al&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new ya(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof al){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(Me(i,{code:de.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new ya(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>Ui.mergeObjectSync(r,u)):Ui.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return et.errToObj,new er({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=et.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new er({...this._def,unknownKeys:"strip"})}passthrough(){return new er({...this._def,unknownKeys:"passthrough"})}extend(t){return new er({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new er({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:it.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new er({...this._def,catchall:t})}pick(t){const n={};return Vt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new er({...this._def,shape:()=>n})}omit(t){const n={};return Vt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new er({...this._def,shape:()=>n})}deepPartial(){return kd(this)}partial(t){const n={};return Vt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new er({...this._def,shape:()=>n})}required(t){const n={};return Vt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Qa;)o=o._def.innerType;n[r]=o}}),new er({...this._def,shape:()=>n})}keyof(){return lD(Vt.objectKeys(this.shape))}}er.create=(e,t)=>new er({shape:()=>e,unknownKeys:"strip",catchall:al.create(),typeName:it.ZodObject,...vt(t)});er.strictCreate=(e,t)=>new er({shape:()=>e,unknownKeys:"strict",catchall:al.create(),typeName:it.ZodObject,...vt(t)});er.lazycreate=(e,t)=>new er({shape:e,unknownKeys:"strip",catchall:al.create(),typeName:it.ZodObject,...vt(t)});class fg extends wt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Os(a.ctx.common.issues));return Me(n,{code:de.invalid_union,unionErrors:s}),ft}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Os(l));return Me(n,{code:de.invalid_union,unionErrors:a}),ft}}get options(){return this._def.options}}fg.create=(e,t)=>new fg({options:e,typeName:it.ZodUnion,...vt(t)});const R0=e=>e instanceof gg?R0(e.schema):e instanceof $s?R0(e.innerType()):e instanceof mg?[e.value]:e instanceof yu?e.options:e instanceof yg?Object.keys(e.enum):e instanceof vg?R0(e._def.innerType):e instanceof cg?[void 0]:e instanceof dg?[null]:null;class M_ extends wt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ie.object)return Me(n,{code:de.invalid_type,expected:Ie.object,received:n.parsedType}),ft;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Me(n,{code:de.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ft)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=R0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new M_({typeName:it.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...vt(r)})}}function yC(e,t){const n=$l(e),r=$l(t);if(e===t)return{valid:!0,data:e};if(n===Ie.object&&r===Ie.object){const i=Vt.objectKeys(t),o=Vt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=yC(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===Ie.array&&r===Ie.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=yC(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===Ie.date&&r===Ie.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class hg extends wt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(gC(o)||gC(s))return ft;const a=yC(o.value,s.value);return a.valid?((mC(o)||mC(s))&&n.dirty(),{status:n.value,value:a.data}):(Me(r,{code:de.invalid_intersection_types}),ft)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}hg.create=(e,t,n)=>new hg({left:e,right:t,typeName:it.ZodIntersection,...vt(n)});class va extends wt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ie.array)return Me(r,{code:de.invalid_type,expected:Ie.array,received:r.parsedType}),ft;if(r.data.length<this._def.items.length)return Me(r,{code:de.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),ft;!this._def.rest&&r.data.length>this._def.items.length&&(Me(r,{code:de.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new ya(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Ui.mergeArray(n,s)):Ui.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new va({...this._def,rest:t})}}va.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new va({items:e,typeName:it.ZodTuple,rest:null,...vt(t)})};class pg extends wt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ie.object)return Me(r,{code:de.invalid_type,expected:Ie.object,received:r.parsedType}),ft;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new ya(r,a,r.path,a)),value:s._parse(new ya(r,r.data[a],r.path,a))});return r.common.async?Ui.mergeObjectAsync(n,i):Ui.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof wt?new pg({keyType:t,valueType:n,typeName:it.ZodRecord,...vt(r)}):new pg({keyType:ks.create(),valueType:t,typeName:it.ZodRecord,...vt(n)})}}class zv extends wt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ie.map)return Me(r,{code:de.invalid_type,expected:Ie.map,received:r.parsedType}),ft;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new ya(r,a,r.path,[u,"key"])),value:o._parse(new ya(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ft;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ft;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}zv.create=(e,t,n)=>new zv({valueType:t,keyType:e,typeName:it.ZodMap,...vt(n)});class Rc extends wt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ie.set)return Me(r,{code:de.invalid_type,expected:Ie.set,received:r.parsedType}),ft;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Me(r,{code:de.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Me(r,{code:de.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return ft;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new ya(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new Rc({...this._def,minSize:{value:t,message:et.toString(n)}})}max(t,n){return new Rc({...this._def,maxSize:{value:t,message:et.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Rc.create=(e,t)=>new Rc({valueType:e,minSize:null,maxSize:null,typeName:it.ZodSet,...vt(t)});class df extends wt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ie.function)return Me(n,{code:de.invalid_type,expected:Ie.function,received:n.parsedType}),ft;function r(a,l){return Lv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Dv(),ag].filter(u=>!!u),issueData:{code:de.invalid_arguments,argumentsError:l}})}function i(a,l){return Lv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Dv(),ag].filter(u=>!!u),issueData:{code:de.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof Lf){const a=this;return Qi(async function(...l){const u=new Os([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return Qi(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new Os([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new Os([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new df({...this._def,args:va.create(t).rest(_c.create())})}returns(t){return new df({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new df({args:t||va.create([]).rest(_c.create()),returns:n||_c.create(),typeName:it.ZodFunction,...vt(r)})}}class gg extends wt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}gg.create=(e,t)=>new gg({getter:e,typeName:it.ZodLazy,...vt(t)});class mg extends wt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Me(n,{received:n.data,code:de.invalid_literal,expected:this._def.value}),ft}return{status:"valid",value:t.data}}get value(){return this._def.value}}mg.create=(e,t)=>new mg({value:e,typeName:it.ZodLiteral,...vt(t)});function lD(e,t){return new yu({values:e,typeName:it.ZodEnum,...vt(t)})}class yu extends wt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Me(n,{expected:Vt.joinValues(r),received:n.parsedType,code:de.invalid_type}),ft}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Me(n,{received:n.data,code:de.invalid_enum_value,options:r}),ft}return Qi(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return yu.create(t)}exclude(t){return yu.create(this.options.filter(n=>!t.includes(n)))}}yu.create=lD;class yg extends wt{_parse(t){const n=Vt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==Ie.string&&r.parsedType!==Ie.number){const i=Vt.objectValues(n);return Me(r,{expected:Vt.joinValues(i),received:r.parsedType,code:de.invalid_type}),ft}if(n.indexOf(t.data)===-1){const i=Vt.objectValues(n);return Me(r,{received:r.data,code:de.invalid_enum_value,options:i}),ft}return Qi(t.data)}get enum(){return this._def.values}}yg.create=(e,t)=>new yg({values:e,typeName:it.ZodNativeEnum,...vt(t)});class Lf extends wt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ie.promise&&n.common.async===!1)return Me(n,{code:de.invalid_type,expected:Ie.promise,received:n.parsedType}),ft;const r=n.parsedType===Ie.promise?n.data:Promise.resolve(n.data);return Qi(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Lf.create=(e,t)=>new Lf({type:e,typeName:it.ZodPromise,...vt(t)});class $s extends wt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===it.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{Me(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ft:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ft:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!lg(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>lg(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Vt.assertNever(i)}}$s.create=(e,t,n)=>new $s({schema:e,typeName:it.ZodEffects,effect:t,...vt(n)});$s.createWithPreprocess=(e,t,n)=>new $s({schema:t,effect:{type:"preprocess",transform:e},typeName:it.ZodEffects,...vt(n)});class Qa extends wt{_parse(t){return this._getType(t)===Ie.undefined?Qi(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Qa.create=(e,t)=>new Qa({innerType:e,typeName:it.ZodOptional,...vt(t)});class Ic extends wt{_parse(t){return this._getType(t)===Ie.null?Qi(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ic.create=(e,t)=>new Ic({innerType:e,typeName:it.ZodNullable,...vt(t)});class vg extends wt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===Ie.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}vg.create=(e,t)=>new vg({innerType:e,typeName:it.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...vt(t)});class Uv extends wt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return $v(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Os(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Os(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}Uv.create=(e,t)=>new Uv({innerType:e,typeName:it.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...vt(t)});class jv extends wt{_parse(t){if(this._getType(t)!==Ie.nan){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.nan,received:r.parsedType}),ft}return{status:"valid",value:t.data}}}jv.create=e=>new jv({typeName:it.ZodNaN,...vt(e)});const Pte=Symbol("zod_brand");class uD extends wt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class xm extends wt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?ft:o.status==="dirty"?(n.dirty(),aD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?ft:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new xm({in:t,out:n,typeName:it.ZodPipeline})}}class Vv extends wt{_parse(t){const n=this._def.innerType._parse(t);return lg(n)&&(n.value=Object.freeze(n.value)),n}}Vv.create=(e,t)=>new Vv({innerType:e,typeName:it.ZodReadonly,...vt(t)});const cD=(e,t={},n)=>e?Df.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):Df.create(),Rte={object:er.lazycreate};var it;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(it||(it={}));const Ite=(e,t={message:`Input not instance of ${e.name}`})=>cD(n=>n instanceof e,t),dD=ks.create,fD=gu.create,Ote=jv.create,Mte=mu.create,hD=ug.create,Nte=Pc.create,Dte=Fv.create,Lte=cg.create,$te=dg.create,Fte=Df.create,Bte=_c.create,zte=al.create,Ute=Bv.create,jte=Ms.create,Vte=er.create,Gte=er.strictCreate,Hte=fg.create,qte=M_.create,Wte=hg.create,Kte=va.create,Xte=pg.create,Qte=zv.create,Yte=Rc.create,Zte=df.create,Jte=gg.create,ene=mg.create,tne=yu.create,nne=yg.create,rne=Lf.create,Wk=$s.create,ine=Qa.create,one=Ic.create,sne=$s.createWithPreprocess,ane=xm.create,lne=()=>dD().optional(),une=()=>fD().optional(),cne=()=>hD().optional(),dne={string:e=>ks.create({...e,coerce:!0}),number:e=>gu.create({...e,coerce:!0}),boolean:e=>ug.create({...e,coerce:!0}),bigint:e=>mu.create({...e,coerce:!0}),date:e=>Pc.create({...e,coerce:!0})},fne=ft;var z=Object.freeze({__proto__:null,defaultErrorMap:ag,setErrorMap:mte,getErrorMap:Dv,makeIssue:Lv,EMPTY_PATH:yte,addIssueToContext:Me,ParseStatus:Ui,INVALID:ft,DIRTY:aD,OK:Qi,isAborted:gC,isDirty:mC,isValid:lg,isAsync:$v,get util(){return Vt},get objectUtil(){return pC},ZodParsedType:Ie,getParsedType:$l,ZodType:wt,ZodString:ks,ZodNumber:gu,ZodBigInt:mu,ZodBoolean:ug,ZodDate:Pc,ZodSymbol:Fv,ZodUndefined:cg,ZodNull:dg,ZodAny:Df,ZodUnknown:_c,ZodNever:al,ZodVoid:Bv,ZodArray:Ms,ZodObject:er,ZodUnion:fg,ZodDiscriminatedUnion:M_,ZodIntersection:hg,ZodTuple:va,ZodRecord:pg,ZodMap:zv,ZodSet:Rc,ZodFunction:df,ZodLazy:gg,ZodLiteral:mg,ZodEnum:yu,ZodNativeEnum:yg,ZodPromise:Lf,ZodEffects:$s,ZodTransformer:$s,ZodOptional:Qa,ZodNullable:Ic,ZodDefault:vg,ZodCatch:Uv,ZodNaN:jv,BRAND:Pte,ZodBranded:uD,ZodPipeline:xm,ZodReadonly:Vv,custom:cD,Schema:wt,ZodSchema:wt,late:Rte,get ZodFirstPartyTypeKind(){return it},coerce:dne,any:Fte,array:jte,bigint:Mte,boolean:hD,date:Nte,discriminatedUnion:qte,effect:Wk,enum:tne,function:Zte,instanceof:Ite,intersection:Wte,lazy:Jte,literal:ene,map:Qte,nan:Ote,nativeEnum:nne,never:zte,null:$te,nullable:one,number:fD,object:Vte,oboolean:cne,onumber:une,optional:ine,ostring:lne,pipeline:ane,preprocess:sne,promise:rne,record:Xte,set:Yte,strictObject:Gte,string:dD,symbol:Dte,transformer:Wk,tuple:Kte,undefined:Lte,union:Hte,unknown:Bte,void:Ute,NEVER:fne,ZodIssueCode:de,quotelessJson:gte,ZodError:Os});const hne=z.string(),w6e=e=>hne.safeParse(e).success,pne=z.string(),x6e=e=>pne.safeParse(e).success,gne=z.string(),C6e=e=>gne.safeParse(e).success,mne=z.string(),E6e=e=>mne.safeParse(e).success,yne=z.number().int().min(1),T6e=e=>yne.safeParse(e).success,vne=z.number().min(1),A6e=e=>vne.safeParse(e).success,pD=z.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),k6e=e=>pD.safeParse(e).success,P6e={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 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ve=re[Re],Xe=ve[0],Qe=ve[1];if(Ne.overrideExisting||!(Xe in Fe.endpointDefinitions)){Fe.endpointDefinitions[Xe]=Qe;for(var st=0,at=ot;st<at.length;st++)at[st].injectEndpoint(Xe,Qe)}}return je},enhanceEndpoints:function(Ne){var Ve=Ne.addTagTypes,Re=Ne.endpoints;if(Ve)for(var re=0,ve=Ve;re<ve.length;re++){var Xe=ve[re];ie.tagTypes.includes(Xe)||ie.tagTypes.push(Xe)}if(Re)for(var Qe=0,st=Object.entries(Re);Qe<st.length;Qe++){var at=st[Qe],mt=at[0],bt=at[1];typeof bt=="function"?bt(Fe.endpointDefinitions[mt]):Object.assign(Fe.endpointDefinitions[mt]||{},bt)}return je}},ot=W.map(function(Ne){return Ne.init(je,ie,Fe)});return je.injectEndpoints({endpoints:ne.endpoints})}}function Ta(){return function(){throw new Error("When using `fakeBaseQuery`, all queries & mutations must use the `queryFn` definition syntax.")}}var bo,Aa=v(wo),On=function(W){var ee=W.reducerPath,ne=W.api,ue=W.context,ie=W.internalState,Fe=ne.internalActions,je=Fe.removeQueryResult,ot=Fe.unsubscribeQueryResult;function 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Xe=re.queryCacheKey,Qe=ve.getState()[ee].queries[Xe];if(Qe&&Qe.status!==t.uninitialized){var st=Re(Fe.currentSubscriptions[Xe]);if(Number.isFinite(st)){var at=je[Xe];at!=null&&at.timeout&&(clearTimeout(at.timeout),at.timeout=void 0);var mt=Date.now()+st,bt=je[Xe]={nextPollTimestamp:mt,pollingInterval:st,timeout:setTimeout(function(){bt.timeout=void 0,ve.dispatch(ie(Qe,Xe))},st)}}}}function Ne(re,ve){var Xe=re.queryCacheKey,Qe=ve.getState()[ee].queries[Xe];if(Qe&&Qe.status!==t.uninitialized){var st=Re(Fe.currentSubscriptions[Xe]);if(Number.isFinite(st)){var at=je[Xe],mt=Date.now()+st;(!at||mt<at.nextPollTimestamp)&&ot({queryCacheKey:Xe},ve)}else Ve(Xe)}}function Ve(re){var ve=je[re];ve!=null&&ve.timeout&&clearTimeout(ve.timeout),delete je[re]}function Re(re){re===void 0&&(re={});var ve=Number.POSITIVE_INFINITY;for(var Xe in re)re[Xe].pollingInterval&&(ve=Math.min(re[Xe].pollingInterval,ve));return ve}return function(re,ve){(ue.internalActions.updateSubscriptionOptions.match(re)||ue.internalActions.unsubscribeQueryResult.match(re))&&Ne(re.payload,ve),(ne.pending.match(re)||ne.rejected.match(re)&&re.meta.condition)&&Ne(re.meta.arg,ve),(ne.fulfilled.match(re)||ne.rejected.match(re)&&!re.meta.condition)&&ot(re.meta.arg,ve),ue.util.resetApiState.match(re)&&function(){for(var Xe=0,Qe=Object.keys(je);Xe<Qe.length;Xe++)Ve(Qe[Xe])}()}},Er=v(wo),qr=new Error("Promise never resolved before cacheEntryRemoved."),Ei=function(W){var ee=W.api,ne=W.reducerPath,ue=W.context,ie=W.queryThunk,Fe=W.mutationThunk,je=(0,Er.isAsyncThunkAction)(ie),ot=(0,Er.isAsyncThunkAction)(Fe),Ne=(0,Er.isFulfilled)(ie,Fe),Ve={};function Re(re,ve,Xe,Qe,st){var at=ue.endpointDefinitions[re],mt=at==null?void 0:at.onCacheEntryAdded;if(mt){var bt={},xt=new Promise(function(pr){bt.cacheEntryRemoved=pr}),tn=Promise.race([new Promise(function(pr){bt.valueResolved=pr}),xt.then(function(){throw 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Ge,lt,ze,be,ae,xe,ce,he,Se,Ze,qe,ke,Ct,$t=Ae.signal,Ft=Ae.abort,Zn=Ae.rejectWithValue,lr=Ae.fulfillWithValue,Mn=Ae.dispatch,Sn=Ae.getState,Vi=Ae.extra;return r(this,function($){switch($.label){case 0:Ge=gr[Be.endpointName],$.label=1;case 1:return $.trys.push([1,8,,13]),lt=Sr,ze=void 0,be={signal:$t,abort:Ft,dispatch:Mn,getState:Sn,extra:Vi,endpoint:Be.endpointName,type:Be.type,forced:Be.type==="query"?zt(Be,Sn()):void 0},(ae=Be.type==="query"?Be[nt]:void 0)?(ze=ae(),[3,6]):[3,2];case 2:return Ge.query?[4,Yn(Ge.query(Be.originalArgs),be,Ge.extraOptions)]:[3,4];case 3:return ze=$.sent(),Ge.transformResponse&&(lt=Ge.transformResponse),[3,6];case 4:return[4,Ge.queryFn(Be.originalArgs,be,Ge.extraOptions,function(G){return Yn(G,be,Ge.extraOptions)})];case 5:ze=$.sent(),$.label=6;case 6:if(ze.error)throw new P(ze.error,ze.meta);return xe=lr,[4,lt(ze.data,ze.meta,Be.originalArgs)];case 7:return[2,xe.apply(void 0,[$.sent(),(ke={fulfilledTimeStamp:Date.now(),baseQueryMeta:ze.meta},ke[qt.SHOULD_AUTOBATCH]=!0,ke)])];case 8:if(ce=$.sent(),!((he=ce)instanceof P))return[3,12];Se=Sr,Ge.query&&Ge.transformErrorResponse&&(Se=Ge.transformErrorResponse),$.label=9;case 9:return $.trys.push([9,11,,12]),Ze=Zn,[4,Se(he.value,he.meta,Be.originalArgs)];case 10:return[2,Ze.apply(void 0,[$.sent(),(Ct={baseQueryMeta:he.meta},Ct[qt.SHOULD_AUTOBATCH]=!0,Ct)])];case 11:return qe=$.sent(),he=qe,[3,12];case 12:throw console.error(he),he;case 13:return[2]}})})};function zt(_e,Ye){var Be,Ae,Ge,lt,ze=(Ae=(Be=Ye[Xt])==null?void 0:Be.queries)==null?void 0:Ae[_e.queryCacheKey],be=(Ge=Ye[Xt])==null?void 0:Ge.config.refetchOnMountOrArgChange,ae=ze==null?void 0:ze.fulfilledTimeStamp,xe=(lt=_e.forceRefetch)!=null?lt:_e.subscribe&&be;return!!xe&&(xe===!0||(Number(new Date)-Number(ae))/1e3>=xe)}var hn=(0,qt.createAsyncThunk)(Xt+"/executeQuery",Rt,{getPendingMeta:function(){var _e;return(_e={startedTimeStamp:Date.now()})[qt.SHOULD_AUTOBATCH]=!0,_e},condition:function(_e,Ye){var Be,Ae,Ge,lt=(0,Ye.getState)(),ze=(Ae=(Be=lt[Xt])==null?void 0:Be.queries)==null?void 0:Ae[_e.queryCacheKey],be=ze==null?void 0:ze.fulfilledTimeStamp,ae=_e.originalArgs,xe=ze==null?void 0:ze.originalArgs,ce=gr[_e.endpointName];return!(!$e(_e)&&((ze==null?void 0:ze.status)==="pending"||!zt(_e,lt)&&(!te(ce)||!((Ge=ce==null?void 0:ce.forceRefetch)!=null&&Ge.call(ce,{currentArg:ae,previousArg:xe,endpointState:ze,state:lt})))&&be))},dispatchConditionRejection:!0}),Qt=(0,qt.createAsyncThunk)(Xt+"/executeMutation",Rt,{getPendingMeta:function(){var _e;return(_e={startedTimeStamp:Date.now()})[qt.SHOULD_AUTOBATCH]=!0,_e}});function an(_e){return function(Ye){var Be,Ae;return((Ae=(Be=Ye==null?void 0:Ye.meta)==null?void 0:Be.arg)==null?void 0:Ae.endpointName)===_e}}return{queryThunk:hn,mutationThunk:Qt,prefetch:function(_e,Ye,Be){return function(Ae,Ge){var lt=function(ce){return"force"in ce}(Be)&&Be.force,ze=function(ce){return"ifOlderThan"in ce}(Be)&&Be.ifOlderThan,be=function(ce){return ce===void 0&&(ce=!0),fn.endpoints[_e].initiate(Ye,{forceRefetch:ce})},ae=fn.endpoints[_e].select(Ye)(Ge());if(lt)Ae(be());else if(ze){var xe=ae==null?void 0:ae.fulfilledTimeStamp;if(!xe)return void Ae(be());(Number(new Date)-Number(new Date(xe)))/1e3>=ze&&Ae(be())}else Ae(be(!1))}},updateQueryData:function(_e,Ye,Be){return function(Ae,Ge){var lt,ze,be=fn.endpoints[_e].select(Ye)(Ge()),ae={patches:[],inversePatches:[],undo:function(){return Ae(fn.util.patchQueryData(_e,Ye,ae.inversePatches))}};if(be.status===t.uninitialized)return ae;if("data"in be)if((0,Pe.isDraftable)(be.data)){var xe=(0,Pe.produceWithPatches)(be.data,Be),ce=xe[2];(lt=ae.patches).push.apply(lt,xe[1]),(ze=ae.inversePatches).push.apply(ze,ce)}else{var he=Be(be.data);ae.patches.push({op:"replace",path:[],value:he}),ae.inversePatches.push({op:"replace",path:[],value:be.data})}return Ae(fn.util.patchQueryData(_e,Ye,ae.patches)),ae}},upsertQueryData:function(_e,Ye,Be){return function(Ae){var Ge;return Ae(fn.endpoints[_e].initiate(Ye,((Ge={subscribe:!1,forceRefetch:!0})[nt]=function(){return{data:Be}},Ge)))}},patchQueryData:function(_e,Ye,Be){return function(Ae){Ae(fn.internalActions.queryResultPatched({queryCacheKey:ci({queryArgs:Ye,endpointDefinition:gr[_e],endpointName:_e}),patches:Be}))}},buildMatchThunkActions:function(_e,Ye){return{matchPending:(0,ct.isAllOf)((0,ct.isPending)(_e),an(Ye)),matchFulfilled:(0,ct.isAllOf)((0,ct.isFulfilled)(_e),an(Ye)),matchRejected:(0,ct.isAllOf)((0,ct.isRejected)(_e),an(Ye))}}}}({baseQuery:ue,reducerPath:ie,context:ne,api:W,serializeQueryArgs:Fe}),ve=re.queryThunk,Xe=re.mutationThunk,Qe=re.patchQueryData,st=re.updateQueryData,at=re.upsertQueryData,mt=re.prefetch,bt=re.buildMatchThunkActions,xt=function(tt){var rn=tt.reducerPath,Xt=tt.queryThunk,Yn=tt.mutationThunk,gr=tt.context,ci=gr.endpointDefinitions,fn=gr.apiUid,Rt=gr.extractRehydrationInfo,zt=gr.hasRehydrationInfo,hn=tt.assertTagType,Qt=tt.config,an=(0,le.createAction)(rn+"/resetApiState"),_e=(0,le.createSlice)({name:rn+"/queries",initialState:Gr,reducers:{removeQueryResult:{reducer:function(be,ae){delete be[ae.payload.queryCacheKey]},prepare:(0,le.prepareAutoBatched)()},queryResultPatched:function(be,ae){var xe=ae.payload,ce=xe.patches;Rn(be,xe.queryCacheKey,function(he){he.data=(0,Wt.applyPatches)(he.data,ce.concat())})}},extraReducers:function(be){be.addCase(Xt.pending,function(ae,xe){var ce,he=xe.meta,Se=xe.meta.arg,Ze=$e(Se);(Se.subscribe||Ze)&&(ae[ce=Se.queryCacheKey]!=null||(ae[ce]={status:t.uninitialized,endpointName:Se.endpointName})),Rn(ae,Se.queryCacheKey,function(qe){qe.status=t.pending,qe.requestId=Ze&&qe.requestId?qe.requestId:he.requestId,Se.originalArgs!==void 0&&(qe.originalArgs=Se.originalArgs),qe.startedTimeStamp=he.startedTimeStamp})}).addCase(Xt.fulfilled,function(ae,xe){var ce=xe.meta,he=xe.payload;Rn(ae,ce.arg.queryCacheKey,function(Se){var Ze;if(Se.requestId===ce.requestId||$e(ce.arg)){var qe=ci[ce.arg.endpointName].merge;if(Se.status=t.fulfilled,qe)if(Se.data!==void 0){var ke=ce.fulfilledTimeStamp,Ct=ce.arg,$t=ce.baseQueryMeta,Ft=ce.requestId,Zn=(0,le.createNextState)(Se.data,function(lr){return qe(lr,he,{arg:Ct.originalArgs,baseQueryMeta:$t,fulfilledTimeStamp:ke,requestId:Ft})});Se.data=Zn}else Se.data=he;else Se.data=(Ze=ci[ce.arg.endpointName].structuralSharing)==null||Ze?C((0,bn.isDraft)(Se.data)?(0,Wt.original)(Se.data):Se.data,he):he;delete Se.error,Se.fulfilledTimeStamp=ce.fulfilledTimeStamp}})}).addCase(Xt.rejected,function(ae,xe){var ce=xe.meta,he=ce.condition,Se=ce.requestId,Ze=xe.error,qe=xe.payload;Rn(ae,ce.arg.queryCacheKey,function(ke){if(!he){if(ke.requestId!==Se)return;ke.status=t.rejected,ke.error=qe??Ze}})}).addMatcher(zt,function(ae,xe){for(var ce=Rt(xe).queries,he=0,Se=Object.entries(ce);he<Se.length;he++){var Ze=Se[he],qe=Ze[1];(qe==null?void 0:qe.status)!==t.fulfilled&&(qe==null?void 0:qe.status)!==t.rejected||(ae[Ze[0]]=qe)}})}}),Ye=(0,le.createSlice)({name:rn+"/mutations",initialState:Gr,reducers:{removeMutationResult:{reducer:function(be,ae){var xe=wr(ae.payload);xe in be&&delete be[xe]},prepare:(0,le.prepareAutoBatched)()}},extraReducers:function(be){be.addCase(Yn.pending,function(ae,xe){var ce=xe.meta,he=ce.requestId,Se=ce.arg,Ze=ce.startedTimeStamp;Se.track&&(ae[wr(xe.meta)]={requestId:he,status:t.pending,endpointName:Se.endpointName,startedTimeStamp:Ze})}).addCase(Yn.fulfilled,function(ae,xe){var ce=xe.payload,he=xe.meta;he.arg.track&&to(ae,he,function(Se){Se.requestId===he.requestId&&(Se.status=t.fulfilled,Se.data=ce,Se.fulfilledTimeStamp=he.fulfilledTimeStamp)})}).addCase(Yn.rejected,function(ae,xe){var ce=xe.payload,he=xe.error,Se=xe.meta;Se.arg.track&&to(ae,Se,function(Ze){Ze.requestId===Se.requestId&&(Ze.status=t.rejected,Ze.error=ce??he)})}).addMatcher(zt,function(ae,xe){for(var ce=Rt(xe).mutations,he=0,Se=Object.entries(ce);he<Se.length;he++){var Ze=Se[he],qe=Ze[0],ke=Ze[1];(ke==null?void 0:ke.status)!==t.fulfilled&&(ke==null?void 0:ke.status)!==t.rejected||qe===(ke==null?void 0:ke.requestId)||(ae[qe]=ke)}})}}),Be=(0,le.createSlice)({name:rn+"/invalidation",initialState:Gr,reducers:{},extraReducers:function(be){be.addCase(_e.actions.removeQueryResult,function(ae,xe){for(var ce=xe.payload.queryCacheKey,he=0,Se=Object.values(ae);he<Se.length;he++)for(var Ze=0,qe=Object.values(Se[he]);Ze<qe.length;Ze++){var 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Ge=Ae.api,lt=Ae.queryThunk,ze=Ae.internalState,be=Ge.reducerPath+"/subscriptions",ae=null,xe=!1,ce=Ge.internalActions,he=ce.updateSubscriptionOptions,Se=ce.unsubscribeQueryResult;return function(Ze,qe){var ke,Ct;if(ae||(ae=JSON.parse(JSON.stringify(ze.currentSubscriptions))),Ge.util.resetApiState.match(Ze))return ae=ze.currentSubscriptions={},[!0,!1];if(Ge.internalActions.internal_probeSubscription.match(Ze)){var $t=Ze.payload;return[!1,!!((ke=ze.currentSubscriptions[$t.queryCacheKey])!=null&&ke[$t.requestId])]}var Ft=function(Mn,Sn){var Vi,$,G,X,fe,St,on,wn,Tt;if(he.match(Sn)){var pn=Sn.payload,di=pn.queryCacheKey,Gn=pn.requestId;return(Vi=Mn==null?void 0:Mn[di])!=null&&Vi[Gn]&&(Mn[di][Gn]=pn.options),!0}if(Se.match(Sn)){var bl=Sn.payload;return Gn=bl.requestId,Mn[di=bl.queryCacheKey]&&delete Mn[di][Gn],!0}if(Ge.internalActions.removeQueryResult.match(Sn))return delete Mn[Sn.payload.queryCacheKey],!0;if(lt.pending.match(Sn)){var 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Se=ce.getState()[Ge],Ze=Se.queries,qe=be.currentSubscriptions;lt.batch(function(){for(var ke=0,Ct=Object.keys(qe);ke<Ct.length;ke++){var $t=Ct[ke],Ft=Ze[$t],Zn=qe[$t];Zn&&Ft&&(Object.values(Zn).some(function(lr){return lr[he]===!0})||Object.values(Zn).every(function(lr){return lr[he]===void 0})&&Se.config[he])&&(Object.keys(Zn).length===0?ce.dispatch(ae({queryCacheKey:$t})):Ft.status!==t.uninitialized&&ce.dispatch(ze(Ft,$t)))}})}return function(ce,he){O.match(ce)&&xe(he,"refetchOnFocus"),U.match(ce)&&xe(he,"refetchOnReconnect")}}(an);return function(Ae){return function(Ge){Qt||(Qt=!0,hn.dispatch(Yn.internalActions.middlewareRegistered(ci)));var lt,ze=_(b({},hn),{next:Ae}),be=hn.getState(),ae=Ye(Ge,ze,be),xe=ae[1];if(lt=ae[0]?Ae(Ge):xe,hn.getState()[rn]&&(Be(Ge,ze,be),function(Se){return!!Se&&typeof Se.type=="string"&&Se.type.startsWith(rn+"/")}(Ge)||gr.hasRehydrationInfo(Ge)))for(var ce=0,he=_e;ce<he.length;ce++)(0,he[ce])(Ge,ze,be);return lt}}},actions:fn};function zt(hn,Qt,an){return 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r!="string"?l:qv(this.data&&this.data[t]&&this.data[t][n],r,o)}addResource(t,n,r,i){let o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:{silent:!1};const s=o.keySeparator!==void 0?o.keySeparator:this.options.keySeparator;let a=[t,n];r&&(a=a.concat(s?r.split(s):r)),t.indexOf(".")>-1&&(a=t.split("."),i=n,n=a[1]),this.addNamespaces(n),Zk(this.data,a,i),o.silent||this.emit("added",t,n,r,i)}addResources(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{silent:!1};for(const o in r)(typeof r[o]=="string"||Object.prototype.toString.apply(r[o])==="[object Array]")&&this.addResource(t,n,o,r[o],{silent:!0});i.silent||this.emit("added",t,n,r)}addResourceBundle(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{silent:!1},a=[t,n];t.indexOf(".")>-1&&(a=t.split("."),i=r,r=n,n=a[1]),this.addNamespaces(n);let l=Hv(this.data,a)||{};i?TD(l,r,o):l={...l,...r},Zk(this.data,a,l),s.silent||this.emit("added",t,n,r)}removeResourceBundle(t,n){this.hasResourceBundle(t,n)&&delete this.data[t][n],this.removeNamespaces(n),this.emit("removed",t,n)}hasResourceBundle(t,n){return this.getResource(t,n)!==void 0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var AD={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const eP={};class Kv extends $_{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),ure(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=ia.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!gre(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,c=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(c){const v=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${v}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${v}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const d=this.resolve(t,n);let f=d&&d.res;const h=d&&d.usedKey||s,p=d&&d.exactUsedKey||s,m=Object.prototype.toString.apply(f),b=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,y=!this.i18nFormat||this.i18nFormat.handleAsObject;if(y&&f&&(typeof f!="string"&&typeof f!="boolean"&&typeof f!="number")&&b.indexOf(m)<0&&!(typeof _=="string"&&m==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const v=this.options.returnedObjectHandler?this.options.returnedObjectHandler(h,f,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(d.res=v,d):v}if(o){const v=m==="[object Array]",S=v?[]:{},w=v?p:h;for(const x in f)if(Object.prototype.hasOwnProperty.call(f,x)){const C=`${w}${o}${x}`;S[x]=this.translate(C,{...n,joinArrays:!1,ns:a}),S[x]===C&&(S[x]=f[x])}f=S}}else if(y&&typeof _=="string"&&m==="[object Array]")f=f.join(_),f&&(f=this.extendTranslation(f,t,n,r));else{let v=!1,S=!1;const w=n.count!==void 0&&typeof n.count!="string",x=Kv.hasDefaultValue(n),C=w?this.pluralResolver.getSuffix(u,n.count,n):"",A=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",T=n[`defaultValue${C}`]||n[`defaultValue${A}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(v=!0,f=T),this.isValidLookup(f)||(S=!0,f=s);const L=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&S?void 0:f,N=x&&T!==f&&this.options.updateMissing;if(S||v||N){if(this.logger.log(N?"updateKey":"missingKey",u,l,s,N?T:f),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let E=[];const P=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&P&&P[0])for(let B=0;B<P.length;B++)E.push(P[B]);else this.options.saveMissingTo==="all"?E=this.languageUtils.toResolveHierarchy(n.lng||this.language):E.push(n.lng||this.language);const D=(B,R,I)=>{const O=x&&I!==f?I:L;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,R,O,N,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,R,O,N,n),this.emit("missingKey",B,l,R,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?E.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(R=>{D([B],s+R,n[`defaultValue${R}`]||T)})}):D(E,s,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(S||v)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,v?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):s.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=AD.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(b=>{this.isValidLookup(r)||(a=b,!eP[`${m[0]}-${b}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(eP[`${m[0]}-${b}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(_=>{if(this.isValidLookup(r))return;s=_;const y=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(y,c,_,b,n);else{let v;f&&(v=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(y.push(c+v),n.ordinal&&v.indexOf(w)===0&&y.push(c+v.replace(w,this.options.pluralSeparator)),h&&y.push(c+S)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;y.push(x),f&&(y.push(x+v),n.ordinal&&v.indexOf(w)===0&&y.push(x+v.replace(w,this.options.pluralSeparator)),h&&y.push(x+S))}}let g;for(;g=y.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function F2(e){return e.charAt(0).toUpperCase()+e.slice(1)}class tP{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=ia.create("languageUtils")}getScriptPartFromCode(t){if(t=Wv(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=Wv(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=F2(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=F2(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=F2(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let mre=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],yre={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const vre=["v1","v2","v3"],_re=["v4"],nP={zero:0,one:1,two:2,few:3,many:4,other:5};function bre(){const e={};return mre.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:yre[t.fc]}})}),e}class Sre{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=ia.create("pluralResolver"),(!this.options.compatibilityJSON||_re.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. 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r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>nP[i]-nP[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof 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f=`{${d[1]}`;l=d[0],f=this.interpolate(f,s);const h=f.match(/'/g),p=f.match(/"/g);(h&&h.length%2===0&&!p||p.length%2!==0)&&(f=f.replace(/'/g,'"'));try{s=JSON.parse(f),u&&(s={...u,...s})}catch(m){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,m),`${l}${c}${f}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const c=i[1].split(this.formatSeparator).map(d=>d.trim());i[1]=c.shift(),l=c,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=Yk(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function xre(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function gd(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(Wv(i),o),t[s]=a),a(r)}}class Cre{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=ia.create("formatter"),this.options=t,this.formats={number:gd((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:gd((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:gd((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:gd((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:gd((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=gd(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=xre(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else 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iP(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function oP(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Ty(){}function Are(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Sg extends $_{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=oP(t),this.services={},this.logger=ia,this.modules={external:[]},Are(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=iP();this.options={...i,...this.options,...oP(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?ia.init(o(this.modules.logger),this.options):ia.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=Cre);const d=new tP(this.options);this.store=new Jk(this.options.resources,this.options);const f=this.services;f.logger=ia,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new Sre(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new wre(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new Tre(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.languageDetector&&(f.languageDetector=o(this.modules.languageDetector),f.languageDetector.init&&f.languageDetector.init(f,this.options.detection,this.options)),this.modules.i18nFormat&&(f.i18nFormat=o(this.modules.i18nFormat),f.i18nFormat.init&&f.i18nFormat.init(this)),this.translator=new Kv(this.services,this.options),this.translator.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b<p;b++)m[b-1]=arguments[b];t.emit(h,...m)}),this.modules.external.forEach(h=>{h.init&&h.init(this)})}if(this.format=this.options.interpolation.format,r||(r=Ty),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const c=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);c.length>0&&c[0]!=="dev"&&(this.options.lng=c[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is 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l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([s,a].concat(c))}else 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r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Nh();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Nh();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return 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n.forEach((s,a)=>{const l=o[s.source],u=o[s.target],c=[];if(l?s.type==="default"&&!(s.sourceHandle in l.data.outputs)&&c.push(`${we.t("nodes.outputField")}"${s.source}.${s.sourceHandle}" ${we.t("nodes.doesNotExist")}`):c.push(`${we.t("nodes.outputNode")} ${s.source} ${we.t("nodes.doesNotExist")}`),u?s.type==="default"&&!(s.targetHandle in u.data.inputs)&&c.push(`${we.t("nodes.inputField")} "${s.target}.${s.targetHandle}" ${we.t("nodes.doesNotExist")}`):c.push(`${we.t("nodes.inputNode")} ${s.target} ${we.t("nodes.doesNotExist")}`),c.length){delete n[a];const d=s.type==="default"?s.sourceHandle:s.source,f=s.type==="default"?s.targetHandle:s.target;r.push({message:`${we.t("nodes.edge")} "${d} -> ${f}" ${we.t("nodes.skipped")}`,issues:c,data:s})}}),{workflow:e,warnings:r}});const Kr=e=>!!(e&&e.type==="invocation"),VRe=e=>!!(e&&!["notes","current_image"].includes(e.type)),uP=e=>!!(e&&e.type==="notes");var Fa=(e=>(e[e.PENDING=0]="PENDING",e[e.IN_PROGRESS=1]="IN_PROGRESS",e[e.COMPLETED=2]="COMPLETED",e[e.FAILED=3]="FAILED",e))(Fa||{});/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const Uie=4,cP=0,dP=1,jie=2;function lh(e){let t=e.length;for(;--t>=0;)e[t]=0}const Vie=0,BD=1,Gie=2,Hie=3,qie=258,C5=29,Em=256,xg=Em+1+C5,ff=30,E5=19,zD=2*xg+1,lc=15,B2=16,Wie=7,T5=256,UD=16,jD=17,VD=18,_C=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),I0=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),Kie=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),GD=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),Xie=512,Ua=new Array((xg+2)*2);lh(Ua);const xp=new Array(ff*2);lh(xp);const Cg=new Array(Xie);lh(Cg);const Eg=new Array(qie-Hie+1);lh(Eg);const A5=new Array(C5);lh(A5);const Jv=new Array(ff);lh(Jv);function z2(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let HD,qD,WD;function U2(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}const KD=e=>e<256?Cg[e]:Cg[256+(e>>>7)],Tg=(e,t)=>{e.pending_buf[e.pending++]=t&255,e.pending_buf[e.pending++]=t>>>8&255},uo=(e,t,n)=>{e.bi_valid>B2-n?(e.bi_buf|=t<<e.bi_valid&65535,Tg(e,e.bi_buf),e.bi_buf=t>>B2-e.bi_valid,e.bi_valid+=n-B2):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=n)},ta=(e,t,n)=>{uo(e,n[t*2],n[t*2+1])},XD=(e,t)=>{let n=0;do n|=e&1,e>>>=1,n<<=1;while(--t>0);return n>>>1},Qie=e=>{e.bi_valid===16?(Tg(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):e.bi_valid>=8&&(e.pending_buf[e.pending++]=e.bi_buf&255,e.bi_buf>>=8,e.bi_valid-=8)},Yie=(e,t)=>{const n=t.dyn_tree,r=t.max_code,i=t.stat_desc.static_tree,o=t.stat_desc.has_stree,s=t.stat_desc.extra_bits,a=t.stat_desc.extra_base,l=t.stat_desc.max_length;let u,c,d,f,h,p,m=0;for(f=0;f<=lc;f++)e.bl_count[f]=0;for(n[e.heap[e.heap_max]*2+1]=0,u=e.heap_max+1;u<zD;u++)c=e.heap[u],f=n[n[c*2+1]*2+1]+1,f>l&&(f=l,m++),n[c*2+1]=f,!(c>r)&&(e.bl_count[f]++,h=0,c>=a&&(h=s[c-a]),p=n[c*2],e.opt_len+=p*(f+h),o&&(e.static_len+=p*(i[c*2+1]+h)));if(m!==0){do{for(f=l-1;e.bl_count[f]===0;)f--;e.bl_count[f]--,e.bl_count[f+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(f=l;f!==0;f--)for(c=e.bl_count[f];c!==0;)d=e.heap[--u],!(d>r)&&(n[d*2+1]!==f&&(e.opt_len+=(f-n[d*2+1])*n[d*2],n[d*2+1]=f),c--)}},QD=(e,t,n)=>{const r=new Array(lc+1);let i=0,o,s;for(o=1;o<=lc;o++)i=i+n[o-1]<<1,r[o]=i;for(s=0;s<=t;s++){let a=e[s*2+1];a!==0&&(e[s*2]=XD(r[a]++,a))}},Zie=()=>{let e,t,n,r,i;const o=new Array(lc+1);for(n=0,r=0;r<C5-1;r++)for(A5[r]=n,e=0;e<1<<_C[r];e++)Eg[n++]=r;for(Eg[n-1]=r,i=0,r=0;r<16;r++)for(Jv[r]=i,e=0;e<1<<I0[r];e++)Cg[i++]=r;for(i>>=7;r<ff;r++)for(Jv[r]=i<<7,e=0;e<1<<I0[r]-7;e++)Cg[256+i++]=r;for(t=0;t<=lc;t++)o[t]=0;for(e=0;e<=143;)Ua[e*2+1]=8,e++,o[8]++;for(;e<=255;)Ua[e*2+1]=9,e++,o[9]++;for(;e<=279;)Ua[e*2+1]=7,e++,o[7]++;for(;e<=287;)Ua[e*2+1]=8,e++,o[8]++;for(QD(Ua,xg+1,o),e=0;e<ff;e++)xp[e*2+1]=5,xp[e*2]=XD(e,5);HD=new z2(Ua,_C,Em+1,xg,lc),qD=new z2(xp,I0,0,ff,lc),WD=new z2(new Array(0),Kie,0,E5,Wie)},YD=e=>{let t;for(t=0;t<xg;t++)e.dyn_ltree[t*2]=0;for(t=0;t<ff;t++)e.dyn_dtree[t*2]=0;for(t=0;t<E5;t++)e.bl_tree[t*2]=0;e.dyn_ltree[T5*2]=1,e.opt_len=e.static_len=0,e.sym_next=e.matches=0},ZD=e=>{e.bi_valid>8?Tg(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},fP=(e,t,n,r)=>{const i=t*2,o=n*2;return e[i]<e[o]||e[i]===e[o]&&r[t]<=r[n]},j2=(e,t,n)=>{const r=e.heap[n];let i=n<<1;for(;i<=e.heap_len&&(i<e.heap_len&&fP(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!fP(t,r,e.heap[i],e.depth));)e.heap[n]=e.heap[i],n=i,i<<=1;e.heap[n]=r},hP=(e,t,n)=>{let r,i,o=0,s,a;if(e.sym_next!==0)do r=e.pending_buf[e.sym_buf+o++]&255,r+=(e.pending_buf[e.sym_buf+o++]&255)<<8,i=e.pending_buf[e.sym_buf+o++],r===0?ta(e,i,t):(s=Eg[i],ta(e,s+Em+1,t),a=_C[s],a!==0&&(i-=A5[s],uo(e,i,a)),r--,s=KD(r),ta(e,s,n),a=I0[s],a!==0&&(r-=Jv[s],uo(e,r,a)));while(o<e.sym_next);ta(e,T5,t)},bC=(e,t)=>{const n=t.dyn_tree,r=t.stat_desc.static_tree,i=t.stat_desc.has_stree,o=t.stat_desc.elems;let s,a,l=-1,u;for(e.heap_len=0,e.heap_max=zD,s=0;s<o;s++)n[s*2]!==0?(e.heap[++e.heap_len]=l=s,e.depth[s]=0):n[s*2+1]=0;for(;e.heap_len<2;)u=e.heap[++e.heap_len]=l<2?++l:0,n[u*2]=1,e.depth[u]=0,e.opt_len--,i&&(e.static_len-=r[u*2+1]);for(t.max_code=l,s=e.heap_len>>1;s>=1;s--)j2(e,n,s);u=o;do s=e.heap[1],e.heap[1]=e.heap[e.heap_len--],j2(e,n,1),a=e.heap[1],e.heap[--e.heap_max]=s,e.heap[--e.heap_max]=a,n[u*2]=n[s*2]+n[a*2],e.depth[u]=(e.depth[s]>=e.depth[a]?e.depth[s]:e.depth[a])+1,n[s*2+1]=n[a*2+1]=u,e.heap[1]=u++,j2(e,n,1);while(e.heap_len>=2);e.heap[--e.heap_max]=e.heap[1],Yie(e,t),QD(n,l,e.bl_count)},pP=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),t[(n+1)*2+1]=65535,r=0;r<=n;r++)o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)&&(a<u?e.bl_tree[o*2]+=a:o!==0?(o!==i&&e.bl_tree[o*2]++,e.bl_tree[UD*2]++):a<=10?e.bl_tree[jD*2]++:e.bl_tree[VD*2]++,a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4))},gP=(e,t,n)=>{let r,i=-1,o,s=t[0*2+1],a=0,l=7,u=4;for(s===0&&(l=138,u=3),r=0;r<=n;r++)if(o=s,s=t[(r+1)*2+1],!(++a<l&&o===s)){if(a<u)do ta(e,o,e.bl_tree);while(--a!==0);else o!==0?(o!==i&&(ta(e,o,e.bl_tree),a--),ta(e,UD,e.bl_tree),uo(e,a-3,2)):a<=10?(ta(e,jD,e.bl_tree),uo(e,a-3,3)):(ta(e,VD,e.bl_tree),uo(e,a-11,7));a=0,i=o,s===0?(l=138,u=3):o===s?(l=6,u=3):(l=7,u=4)}},Jie=e=>{let t;for(pP(e,e.dyn_ltree,e.l_desc.max_code),pP(e,e.dyn_dtree,e.d_desc.max_code),bC(e,e.bl_desc),t=E5-1;t>=3&&e.bl_tree[GD[t]*2+1]===0;t--);return e.opt_len+=3*(t+1)+5+5+4,t},eoe=(e,t,n,r)=>{let i;for(uo(e,t-257,5),uo(e,n-1,5),uo(e,r-4,4),i=0;i<r;i++)uo(e,e.bl_tree[GD[i]*2+1],3);gP(e,e.dyn_ltree,t-1),gP(e,e.dyn_dtree,n-1)},toe=e=>{let t=4093624447,n;for(n=0;n<=31;n++,t>>>=1)if(t&1&&e.dyn_ltree[n*2]!==0)return cP;if(e.dyn_ltree[9*2]!==0||e.dyn_ltree[10*2]!==0||e.dyn_ltree[13*2]!==0)return dP;for(n=32;n<Em;n++)if(e.dyn_ltree[n*2]!==0)return dP;return cP};let mP=!1;const noe=e=>{mP||(Zie(),mP=!0),e.l_desc=new U2(e.dyn_ltree,HD),e.d_desc=new U2(e.dyn_dtree,qD),e.bl_desc=new U2(e.bl_tree,WD),e.bi_buf=0,e.bi_valid=0,YD(e)},JD=(e,t,n,r)=>{uo(e,(Vie<<1)+(r?1:0),3),ZD(e),Tg(e,n),Tg(e,~n),n&&e.pending_buf.set(e.window.subarray(t,t+n),e.pending),e.pending+=n},roe=e=>{uo(e,BD<<1,3),ta(e,T5,Ua),Qie(e)},ioe=(e,t,n,r)=>{let i,o,s=0;e.level>0?(e.strm.data_type===jie&&(e.strm.data_type=toe(e)),bC(e,e.l_desc),bC(e,e.d_desc),s=Jie(e),i=e.opt_len+3+7>>>3,o=e.static_len+3+7>>>3,o<=i&&(i=o)):i=o=n+5,n+4<=i&&t!==-1?JD(e,t,n,r):e.strategy===Uie||o===i?(uo(e,(BD<<1)+(r?1:0),3),hP(e,Ua,xp)):(uo(e,(Gie<<1)+(r?1:0),3),eoe(e,e.l_desc.max_code+1,e.d_desc.max_code+1,s+1),hP(e,e.dyn_ltree,e.dyn_dtree)),YD(e),r&&ZD(e)},ooe=(e,t,n)=>(e.pending_buf[e.sym_buf+e.sym_next++]=t,e.pending_buf[e.sym_buf+e.sym_next++]=t>>8,e.pending_buf[e.sym_buf+e.sym_next++]=n,t===0?e.dyn_ltree[n*2]++:(e.matches++,t--,e.dyn_ltree[(Eg[n]+Em+1)*2]++,e.dyn_dtree[KD(t)*2]++),e.sym_next===e.sym_end);var soe=noe,aoe=JD,loe=ioe,uoe=ooe,coe=roe,doe={_tr_init:soe,_tr_stored_block:aoe,_tr_flush_block:loe,_tr_tally:uoe,_tr_align:coe};const foe=(e,t,n,r)=>{let i=e&65535|0,o=e>>>16&65535|0,s=0;for(;n!==0;){s=n>2e3?2e3:n,n-=s;do i=i+t[r++]|0,o=o+i|0;while(--s);i%=65521,o%=65521}return i|o<<16|0};var Ag=foe;const hoe=()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},poe=new Uint32Array(hoe()),goe=(e,t,n,r)=>{const i=poe,o=r+n;e^=-1;for(let s=r;s<o;s++)e=e>>>8^i[(e^t[s])&255];return e^-1};var Zr=goe,zf={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"},Tm={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:moe,_tr_stored_block:SC,_tr_flush_block:yoe,_tr_tally:nu,_tr_align:voe}=doe,{Z_NO_FLUSH:ru,Z_PARTIAL_FLUSH:_oe,Z_FULL_FLUSH:boe,Z_FINISH:Qo,Z_BLOCK:yP,Z_OK:yi,Z_STREAM_END:vP,Z_STREAM_ERROR:da,Z_DATA_ERROR:Soe,Z_BUF_ERROR:V2,Z_DEFAULT_COMPRESSION:woe,Z_FILTERED:xoe,Z_HUFFMAN_ONLY:ky,Z_RLE:Coe,Z_FIXED:Eoe,Z_DEFAULT_STRATEGY:Toe,Z_UNKNOWN:Aoe,Z_DEFLATED:F_}=Tm,koe=9,Poe=15,Roe=8,Ioe=29,Ooe=256,wC=Ooe+1+Ioe,Moe=30,Noe=19,Doe=2*wC+1,Loe=15,Dt=3,Hl=258,fa=Hl+Dt+1,$oe=32,Uf=42,k5=57,xC=69,CC=73,EC=91,TC=103,uc=113,rp=666,Wi=1,uh=2,Oc=3,ch=4,Foe=3,cc=(e,t)=>(e.msg=zf[t],t),_P=e=>e*2-(e>4?9:0),Fl=e=>{let t=e.length;for(;--t>=0;)e[t]=0},Boe=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let zoe=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask,iu=zoe;const Co=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},Ro=(e,t)=>{yoe(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,Co(e.strm)},Yt=(e,t)=>{e.pending_buf[e.pending++]=t},Lh=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},AC=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=Ag(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Zr(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},eL=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-fa?e.strstart-(e.w_size-fa):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+Hl;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&r<f);if(o=Hl-(f-r),r=f-Hl,o>s){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},jf=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-fa)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),Boe(e),r+=t),e.strm.avail_in===0)break;if(n=AC(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=Dt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=iu(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=iu(e,e.ins_h,e.window[i+Dt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<Dt)););}while(e.lookahead<fa&&e.strm.avail_in!==0)},tL=(e,t)=>{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_out<o||(o=e.strm.avail_out-o,i=e.strstart-e.block_start,r>i+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r<n&&(r===0&&t!==Qo||t===ru||r!==i+e.strm.avail_in)))break;s=t===Qo&&r===i+e.strm.avail_in?1:0,SC(e,0,0,s),e.pending_buf[e.pending-4]=r,e.pending_buf[e.pending-3]=r>>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,Co(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(AC(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),s?ch:t!==ru&&t!==Qo&&e.strm.avail_in===0&&e.strstart===e.block_start?uh:(o=e.window_size-e.strstart,e.strm.avail_in>o&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(AC(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water<e.strstart&&(e.high_water=e.strstart),o=e.bi_valid+42>>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Qo)&&t!==ru&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Qo&&e.strm.avail_in===0&&r===i?1:0,SC(e,e.block_start,r,s),e.block_start+=r,Co(e.strm)),s?Oc:Wi)},G2=(e,t)=>{let n,r;for(;;){if(e.lookahead<fa){if(jf(e),e.lookahead<fa&&t===ru)return Wi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Dt&&(e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-fa&&(e.match_length=eL(e,n)),e.match_length>=Dt)if(r=nu(e,e.strstart-e.match_start,e.match_length-Dt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=Dt){e.match_length--;do e.strstart++,e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=iu(e,e.ins_h,e.window[e.strstart+1]);else r=nu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(Ro(e,!1),e.strm.avail_out===0))return Wi}return e.insert=e.strstart<Dt-1?e.strstart:Dt-1,t===Qo?(Ro(e,!0),e.strm.avail_out===0?Oc:ch):e.sym_next&&(Ro(e,!1),e.strm.avail_out===0)?Wi:uh},md=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<fa){if(jf(e),e.lookahead<fa&&t===ru)return Wi;if(e.lookahead===0)break}if(n=0,e.lookahead>=Dt&&(e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=Dt-1,n!==0&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-fa&&(e.match_length=eL(e,n),e.match_length<=5&&(e.strategy===xoe||e.match_length===Dt&&e.strstart-e.match_start>4096)&&(e.match_length=Dt-1)),e.prev_length>=Dt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-Dt,r=nu(e,e.strstart-1-e.prev_match,e.prev_length-Dt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=Dt-1,e.strstart++,r&&(Ro(e,!1),e.strm.avail_out===0))return Wi}else if(e.match_available){if(r=nu(e,0,e.window[e.strstart-1]),r&&Ro(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return Wi}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=nu(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<Dt-1?e.strstart:Dt-1,t===Qo?(Ro(e,!0),e.strm.avail_out===0?Oc:ch):e.sym_next&&(Ro(e,!1),e.strm.avail_out===0)?Wi:uh},Uoe=(e,t)=>{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=Hl){if(jf(e),e.lookahead<=Hl&&t===ru)return Wi;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=Dt&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+Hl;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&i<o);e.match_length=Hl-(o-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=Dt?(n=nu(e,1,e.match_length-Dt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=nu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(Ro(e,!1),e.strm.avail_out===0))return Wi}return e.insert=0,t===Qo?(Ro(e,!0),e.strm.avail_out===0?Oc:ch):e.sym_next&&(Ro(e,!1),e.strm.avail_out===0)?Wi:uh},joe=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(jf(e),e.lookahead===0)){if(t===ru)return Wi;break}if(e.match_length=0,n=nu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(Ro(e,!1),e.strm.avail_out===0))return Wi}return e.insert=0,t===Qo?(Ro(e,!0),e.strm.avail_out===0?Oc:ch):e.sym_next&&(Ro(e,!1),e.strm.avail_out===0)?Wi:uh};function Hs(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const ip=[new Hs(0,0,0,0,tL),new Hs(4,4,8,4,G2),new Hs(4,5,16,8,G2),new Hs(4,6,32,32,G2),new Hs(4,4,16,16,md),new Hs(8,16,32,32,md),new Hs(8,16,128,128,md),new Hs(8,32,128,256,md),new Hs(32,128,258,1024,md),new Hs(32,258,258,4096,md)],Voe=e=>{e.window_size=2*e.w_size,Fl(e.head),e.max_lazy_match=ip[e.level].max_lazy,e.good_match=ip[e.level].good_length,e.nice_match=ip[e.level].nice_length,e.max_chain_length=ip[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=Dt-1,e.match_available=0,e.ins_h=0};function Goe(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=F_,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(Doe*2),this.dyn_dtree=new Uint16Array((2*Moe+1)*2),this.bl_tree=new Uint16Array((2*Noe+1)*2),Fl(this.dyn_ltree),Fl(this.dyn_dtree),Fl(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(Loe+1),this.heap=new Uint16Array(2*wC+1),Fl(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*wC+1),Fl(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const Am=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==Uf&&t.status!==k5&&t.status!==xC&&t.status!==CC&&t.status!==EC&&t.status!==TC&&t.status!==uc&&t.status!==rp?1:0},nL=e=>{if(Am(e))return cc(e,da);e.total_in=e.total_out=0,e.data_type=Aoe;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?k5:t.wrap?Uf:uc,e.adler=t.wrap===2?0:1,t.last_flush=-2,moe(t),yi},rL=e=>{const t=nL(e);return t===yi&&Voe(e.state),t},Hoe=(e,t)=>Am(e)||e.state.wrap!==2?da:(e.state.gzhead=t,yi),iL=(e,t,n,r,i,o)=>{if(!e)return da;let s=1;if(t===woe&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>koe||n!==F_||r<8||r>15||t<0||t>9||o<0||o>Eoe||r===8&&s!==1)return cc(e,da);r===8&&(r=9);const a=new Goe;return e.state=a,a.strm=e,a.status=Uf,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<<a.w_bits,a.w_mask=a.w_size-1,a.hash_bits=i+7,a.hash_size=1<<a.hash_bits,a.hash_mask=a.hash_size-1,a.hash_shift=~~((a.hash_bits+Dt-1)/Dt),a.window=new Uint8Array(a.w_size*2),a.head=new Uint16Array(a.hash_size),a.prev=new Uint16Array(a.w_size),a.lit_bufsize=1<<i+6,a.pending_buf_size=a.lit_bufsize*4,a.pending_buf=new Uint8Array(a.pending_buf_size),a.sym_buf=a.lit_bufsize,a.sym_end=(a.lit_bufsize-1)*3,a.level=t,a.strategy=o,a.method=n,rL(e)},qoe=(e,t)=>iL(e,t,F_,Poe,Roe,Toe),Woe=(e,t)=>{if(Am(e)||t>yP||t<0)return e?cc(e,da):da;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===rp&&t!==Qo)return cc(e,e.avail_out===0?V2:da);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(Co(e),e.avail_out===0)return n.last_flush=-1,yi}else if(e.avail_in===0&&_P(t)<=_P(r)&&t!==Qo)return cc(e,V2);if(n.status===rp&&e.avail_in!==0)return cc(e,V2);if(n.status===Uf&&n.wrap===0&&(n.status=uc),n.status===Uf){let i=F_+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=ky||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=$oe),i+=31-i%31,Lh(n,i),n.strstart!==0&&(Lh(n,e.adler>>>16),Lh(n,e.adler&65535)),e.adler=1,n.status=uc,Co(e),n.pending!==0)return n.last_flush=-1,yi}if(n.status===k5){if(e.adler=0,Yt(n,31),Yt(n,139),Yt(n,8),n.gzhead)Yt(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),Yt(n,n.gzhead.time&255),Yt(n,n.gzhead.time>>8&255),Yt(n,n.gzhead.time>>16&255),Yt(n,n.gzhead.time>>24&255),Yt(n,n.level===9?2:n.strategy>=ky||n.level<2?4:0),Yt(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(Yt(n,n.gzhead.extra.length&255),Yt(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Zr(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=xC;else if(Yt(n,0),Yt(n,0),Yt(n,0),Yt(n,0),Yt(n,0),Yt(n,n.level===9?2:n.strategy>=ky||n.level<2?4:0),Yt(n,Foe),n.status=uc,Co(e),n.pending!==0)return n.last_flush=-1,yi}if(n.status===xC){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let a=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+a),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=a,Co(e),n.pending!==0)return n.last_flush=-1,yi;i=0,o-=a}let s=new Uint8Array(n.gzhead.extra);n.pending_buf.set(s.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=CC}if(n.status===CC){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),Co(e),n.pending!==0)return n.last_flush=-1,yi;i=0}n.gzindex<n.gzhead.name.length?o=n.gzhead.name.charCodeAt(n.gzindex++)&255:o=0,Yt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=EC}if(n.status===EC){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),Co(e),n.pending!==0)return n.last_flush=-1,yi;i=0}n.gzindex<n.gzhead.comment.length?o=n.gzhead.comment.charCodeAt(n.gzindex++)&255:o=0,Yt(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i))}n.status=TC}if(n.status===TC){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(Co(e),n.pending!==0))return n.last_flush=-1,yi;Yt(n,e.adler&255),Yt(n,e.adler>>8&255),e.adler=0}if(n.status=uc,Co(e),n.pending!==0)return n.last_flush=-1,yi}if(e.avail_in!==0||n.lookahead!==0||t!==ru&&n.status!==rp){let i=n.level===0?tL(n,t):n.strategy===ky?joe(n,t):n.strategy===Coe?Uoe(n,t):ip[n.level].func(n,t);if((i===Oc||i===ch)&&(n.status=rp),i===Wi||i===Oc)return e.avail_out===0&&(n.last_flush=-1),yi;if(i===uh&&(t===_oe?voe(n):t!==yP&&(SC(n,0,0,!1),t===boe&&(Fl(n.head),n.lookahead===0&&(n.strstart=0,n.block_start=0,n.insert=0))),Co(e),e.avail_out===0))return n.last_flush=-1,yi}return t!==Qo?yi:n.wrap<=0?vP:(n.wrap===2?(Yt(n,e.adler&255),Yt(n,e.adler>>8&255),Yt(n,e.adler>>16&255),Yt(n,e.adler>>24&255),Yt(n,e.total_in&255),Yt(n,e.total_in>>8&255),Yt(n,e.total_in>>16&255),Yt(n,e.total_in>>24&255)):(Lh(n,e.adler>>>16),Lh(n,e.adler&65535)),Co(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?yi:vP)},Koe=e=>{if(Am(e))return da;const t=e.state.status;return e.state=null,t===uc?cc(e,Soe):yi},Xoe=(e,t)=>{let n=t.length;if(Am(e))return da;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==Uf||r.lookahead)return da;if(i===1&&(e.adler=Ag(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(Fl(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,s=e.next_in,a=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,jf(r);r.lookahead>=Dt;){let l=r.strstart,u=r.lookahead-(Dt-1);do r.ins_h=iu(r,r.ins_h,r.window[l+Dt-1]),r.prev[l&r.w_mask]=r.head[r.ins_h],r.head[r.ins_h]=l,l++;while(--u);r.strstart=l,r.lookahead=Dt-1,jf(r)}return r.strstart+=r.lookahead,r.block_start=r.strstart,r.insert=r.lookahead,r.lookahead=0,r.match_length=r.prev_length=Dt-1,r.match_available=0,e.next_in=s,e.input=a,e.avail_in=o,r.wrap=i,yi};var Qoe=qoe,Yoe=iL,Zoe=rL,Joe=nL,ese=Hoe,tse=Woe,nse=Koe,rse=Xoe,ise="pako deflate (from Nodeca project)",Cp={deflateInit:Qoe,deflateInit2:Yoe,deflateReset:Zoe,deflateResetKeep:Joe,deflateSetHeader:ese,deflate:tse,deflateEnd:nse,deflateSetDictionary:rse,deflateInfo:ise};const ose=(e,t)=>Object.prototype.hasOwnProperty.call(e,t);var sse=function(e){const t=Array.prototype.slice.call(arguments,1);for(;t.length;){const n=t.shift();if(n){if(typeof n!="object")throw new TypeError(n+"must be non-object");for(const r in n)ose(n,r)&&(e[r]=n[r])}}return e},ase=e=>{let t=0;for(let r=0,i=e.length;r<i;r++)t+=e[r].length;const n=new Uint8Array(t);for(let r=0,i=0,o=e.length;r<o;r++){let s=e[r];n.set(s,i),i+=s.length}return n},B_={assign:sse,flattenChunks:ase};let oL=!0;try{String.fromCharCode.apply(null,new Uint8Array(1))}catch{oL=!1}const kg=new Uint8Array(256);for(let e=0;e<256;e++)kg[e]=e>=252?6:e>=248?5:e>=240?4:e>=224?3:e>=192?2:1;kg[254]=kg[254]=1;var lse=e=>{if(typeof TextEncoder=="function"&&TextEncoder.prototype.encode)return new TextEncoder().encode(e);let t,n,r,i,o,s=e.length,a=0;for(i=0;i<s;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<s&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),a+=n<128?1:n<2048?2:n<65536?3:4;for(t=new Uint8Array(a),o=0,i=0;o<a;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<s&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),n<128?t[o++]=n:n<2048?(t[o++]=192|n>>>6,t[o++]=128|n&63):n<65536?(t[o++]=224|n>>>12,t[o++]=128|n>>>6&63,t[o++]=128|n&63):(t[o++]=240|n>>>18,t[o++]=128|n>>>12&63,t[o++]=128|n>>>6&63,t[o++]=128|n&63);return t};const use=(e,t)=>{if(t<65534&&e.subarray&&oL)return String.fromCharCode.apply(null,e.length===t?e:e.subarray(0,t));let n="";for(let r=0;r<t;r++)n+=String.fromCharCode(e[r]);return n};var cse=(e,t)=>{const n=t||e.length;if(typeof TextDecoder=="function"&&TextDecoder.prototype.decode)return new TextDecoder().decode(e.subarray(0,t));let r,i;const o=new Array(n*2);for(i=0,r=0;r<n;){let s=e[r++];if(s<128){o[i++]=s;continue}let a=kg[s];if(a>4){o[i++]=65533,r+=a-1;continue}for(s&=a===2?31:a===3?15:7;a>1&&r<n;)s=s<<6|e[r++]&63,a--;if(a>1){o[i++]=65533;continue}s<65536?o[i++]=s:(s-=65536,o[i++]=55296|s>>10&1023,o[i++]=56320|s&1023)}return use(o,i)},dse=(e,t)=>{t=t||e.length,t>e.length&&(t=e.length);let n=t-1;for(;n>=0&&(e[n]&192)===128;)n--;return n<0||n===0?t:n+kg[e[n]]>t?n:t},Pg={string2buf:lse,buf2string:cse,utf8border:dse};function fse(){this.input=null,this.next_in=0,this.avail_in=0,this.total_in=0,this.output=null,this.next_out=0,this.avail_out=0,this.total_out=0,this.msg="",this.state=null,this.data_type=2,this.adler=0}var sL=fse;const aL=Object.prototype.toString,{Z_NO_FLUSH:hse,Z_SYNC_FLUSH:pse,Z_FULL_FLUSH:gse,Z_FINISH:mse,Z_OK:e1,Z_STREAM_END:yse,Z_DEFAULT_COMPRESSION:vse,Z_DEFAULT_STRATEGY:_se,Z_DEFLATED:bse}=Tm;function P5(e){this.options=B_.assign({level:vse,method:bse,chunkSize:16384,windowBits:15,memLevel:8,strategy:_se},e||{});let t=this.options;t.raw&&t.windowBits>0?t.windowBits=-t.windowBits:t.gzip&&t.windowBits>0&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new sL,this.strm.avail_out=0;let n=Cp.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==e1)throw new Error(zf[n]);if(t.header&&Cp.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=Pg.string2buf(t.dictionary):aL.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=Cp.deflateSetDictionary(this.strm,r),n!==e1)throw new Error(zf[n]);this._dict_set=!0}}P5.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?mse:hse,typeof e=="string"?n.input=Pg.string2buf(e):aL.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===pse||o===gse)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=Cp.deflate(n,o),i===yse)return n.next_out>0&&this.onData(n.output.subarray(0,n.next_out)),i=Cp.deflateEnd(this.strm),this.onEnd(i),this.ended=!0,i===e1;if(n.avail_out===0){this.onData(n.output);continue}if(o>0&&n.next_out>0){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(n.avail_in===0)break}return!0};P5.prototype.onData=function(e){this.chunks.push(e)};P5.prototype.onEnd=function(e){e===e1&&(this.result=B_.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};const Py=16209,Sse=16191;var wse=function(t,n){let r,i,o,s,a,l,u,c,d,f,h,p,m,b,_,y,g,v,S,w,x,C,A,T;const k=t.state;r=t.next_in,A=t.input,i=r+(t.avail_in-5),o=t.next_out,T=t.output,s=o-(n-t.avail_out),a=o+(t.avail_out-257),l=k.dmax,u=k.wsize,c=k.whave,d=k.wnext,f=k.window,h=k.hold,p=k.bits,m=k.lencode,b=k.distcode,_=(1<<k.lenbits)-1,y=(1<<k.distbits)-1;e:do{p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=m[h&_];t:for(;;){if(v=g>>>24,h>>>=v,p-=v,v=g>>>16&255,v===0)T[o++]=g&65535;else if(v&16){S=g&65535,v&=15,v&&(p<v&&(h+=A[r++]<<p,p+=8),S+=h&(1<<v)-1,h>>>=v,p-=v),p<15&&(h+=A[r++]<<p,p+=8,h+=A[r++]<<p,p+=8),g=b[h&y];n:for(;;){if(v=g>>>24,h>>>=v,p-=v,v=g>>>16&255,v&16){if(w=g&65535,v&=15,p<v&&(h+=A[r++]<<p,p+=8,p<v&&(h+=A[r++]<<p,p+=8)),w+=h&(1<<v)-1,w>l){t.msg="invalid distance too far back",k.mode=Py;break e}if(h>>>=v,p-=v,v=o-s,w>v){if(v=w-v,v>c&&k.sane){t.msg="invalid distance too far back",k.mode=Py;break e}if(x=0,C=f,d===0){if(x+=u-v,v<S){S-=v;do T[o++]=f[x++];while(--v);x=o-w,C=T}}else if(d<v){if(x+=u+d-v,v-=d,v<S){S-=v;do T[o++]=f[x++];while(--v);if(x=0,d<S){v=d,S-=v;do T[o++]=f[x++];while(--v);x=o-w,C=T}}}else if(x+=d-v,v<S){S-=v;do T[o++]=f[x++];while(--v);x=o-w,C=T}for(;S>2;)T[o++]=C[x++],T[o++]=C[x++],T[o++]=C[x++],S-=3;S&&(T[o++]=C[x++],S>1&&(T[o++]=C[x++]))}else{x=o-w;do T[o++]=T[x++],T[o++]=T[x++],T[o++]=T[x++],S-=3;while(S>2);S&&(T[o++]=T[x++],S>1&&(T[o++]=T[x++]))}}else if(v&64){t.msg="invalid distance code",k.mode=Py;break e}else{g=b[(g&65535)+(h&(1<<v)-1)];continue n}break}}else if(v&64)if(v&32){k.mode=Sse;break e}else{t.msg="invalid literal/length code",k.mode=Py;break e}else{g=m[(g&65535)+(h&(1<<v)-1)];continue t}break}}while(r<i&&o<a);S=p>>3,r-=S,p-=S<<3,h&=(1<<p)-1,t.next_in=r,t.next_out=o,t.avail_in=r<i?5+(i-r):5-(r-i),t.avail_out=o<a?257+(a-o):257-(o-a),k.hold=h,k.bits=p};const yd=15,bP=852,SP=592,wP=0,H2=1,xP=2,xse=new Uint16Array([3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0]),Cse=new Uint8Array([16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78]),Ese=new Uint16Array([1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0]),Tse=new Uint8Array([16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64]),Ase=(e,t,n,r,i,o,s,a)=>{const l=a.bits;let u=0,c=0,d=0,f=0,h=0,p=0,m=0,b=0,_=0,y=0,g,v,S,w,x,C=null,A;const T=new Uint16Array(yd+1),k=new Uint16Array(yd+1);let L=null,N,E,P;for(u=0;u<=yd;u++)T[u]=0;for(c=0;c<r;c++)T[t[n+c]]++;for(h=l,f=yd;f>=1&&T[f]===0;f--);if(h>f&&(h=f),f===0)return i[o++]=1<<24|64<<16|0,i[o++]=1<<24|64<<16|0,a.bits=1,0;for(d=1;d<f&&T[d]===0;d++);for(h<d&&(h=d),b=1,u=1;u<=yd;u++)if(b<<=1,b-=T[u],b<0)return-1;if(b>0&&(e===wP||f!==1))return-1;for(k[1]=0,u=1;u<yd;u++)k[u+1]=k[u]+T[u];for(c=0;c<r;c++)t[n+c]!==0&&(s[k[t[n+c]]++]=c);if(e===wP?(C=L=s,A=20):e===H2?(C=xse,L=Cse,A=257):(C=Ese,L=Tse,A=0),y=0,c=0,u=d,x=o,p=h,m=0,S=-1,_=1<<h,w=_-1,e===H2&&_>bP||e===xP&&_>SP)return 1;for(;;){N=u-m,s[c]+1<A?(E=0,P=s[c]):s[c]>=A?(E=L[s[c]-A],P=C[s[c]-A]):(E=32+64,P=0),g=1<<u-m,v=1<<p,d=v;do v-=g,i[x+(y>>m)+v]=N<<24|E<<16|P|0;while(v!==0);for(g=1<<u-1;y&g;)g>>=1;if(g!==0?(y&=g-1,y+=g):y=0,c++,--T[u]===0){if(u===f)break;u=t[n+s[c]]}if(u>h&&(y&w)!==S){for(m===0&&(m=h),x+=d,p=u-m,b=1<<p;p+m<f&&(b-=T[p+m],!(b<=0));)p++,b<<=1;if(_+=1<<p,e===H2&&_>bP||e===xP&&_>SP)return 1;S=y&w,i[S]=h<<24|p<<16|x-o|0}}return y!==0&&(i[x+y]=u-m<<24|64<<16|0),a.bits=h,0};var Ep=Ase;const kse=0,lL=1,uL=2,{Z_FINISH:CP,Z_BLOCK:Pse,Z_TREES:Ry,Z_OK:Mc,Z_STREAM_END:Rse,Z_NEED_DICT:Ise,Z_STREAM_ERROR:is,Z_DATA_ERROR:cL,Z_MEM_ERROR:dL,Z_BUF_ERROR:Ose,Z_DEFLATED:EP}=Tm,z_=16180,TP=16181,AP=16182,kP=16183,PP=16184,RP=16185,IP=16186,OP=16187,MP=16188,NP=16189,t1=16190,Pa=16191,q2=16192,DP=16193,W2=16194,LP=16195,$P=16196,FP=16197,BP=16198,Iy=16199,Oy=16200,zP=16201,UP=16202,jP=16203,VP=16204,GP=16205,K2=16206,HP=16207,qP=16208,Hn=16209,fL=16210,hL=16211,Mse=852,Nse=592,Dse=15,Lse=Dse,WP=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function $se(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Xc=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.mode<z_||t.mode>hL?1:0},pL=e=>{if(Xc(e))return is;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=z_,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(Mse),t.distcode=t.distdyn=new Int32Array(Nse),t.sane=1,t.back=-1,Mc},gL=e=>{if(Xc(e))return is;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,pL(e)},mL=(e,t)=>{let n;if(Xc(e))return is;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?is:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,gL(e))},yL=(e,t)=>{if(!e)return is;const n=new $se;e.state=n,n.strm=e,n.window=null,n.mode=z_;const r=mL(e,t);return r!==Mc&&(e.state=null),r},Fse=e=>yL(e,Lse);let KP=!0,X2,Q2;const Bse=e=>{if(KP){X2=new Int32Array(512),Q2=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(Ep(lL,e.lens,0,288,X2,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;Ep(uL,e.lens,0,32,Q2,0,e.work,{bits:5}),KP=!1}e.lencode=X2,e.lenbits=9,e.distcode=Q2,e.distbits=5},vL=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new Uint8Array(o.wsize)),r>=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=i))),0},zse=(e,t)=>{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,y,g,v,S,w,x,C;const A=new Uint8Array(4);let T,k;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Xc(e)||!e.output||!e.input&&e.avail_in!==0)return is;n=e.state,n.mode===Pa&&(n.mode=q2),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,C=Mc;e:for(;;)switch(n.mode){case z_:if(n.wrap===0){n.mode=q2;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&2&&u===35615){n.wbits===0&&(n.wbits=15),n.check=0,A[0]=u&255,A[1]=u>>>8&255,n.check=Zr(n.check,A,2,0),u=0,c=0,n.mode=TP;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Hn;break}if((u&15)!==EP){e.msg="unknown compression method",n.mode=Hn;break}if(u>>>=4,c-=4,x=(u&15)+8,n.wbits===0&&(n.wbits=x),x>15||x>n.wbits){e.msg="invalid window size",n.mode=Hn;break}n.dmax=1<<n.wbits,n.flags=0,e.adler=n.check=1,n.mode=u&512?NP:Pa,u=0,c=0;break;case TP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.flags=u,(n.flags&255)!==EP){e.msg="unknown compression method",n.mode=Hn;break}if(n.flags&57344){e.msg="unknown header flags set",n.mode=Hn;break}n.head&&(n.head.text=u>>8&1),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Zr(n.check,A,2,0)),u=0,c=0,n.mode=AP;case AP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.time=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,A[2]=u>>>16&255,A[3]=u>>>24&255,n.check=Zr(n.check,A,4,0)),u=0,c=0,n.mode=kP;case kP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.head&&(n.head.xflags=u&255,n.head.os=u>>8),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Zr(n.check,A,2,0)),u=0,c=0,n.mode=PP;case PP:if(n.flags&1024){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length=u,n.head&&(n.head.extra_len=u),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Zr(n.check,A,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=RP;case RP:if(n.flags&1024&&(h=n.length,h>a&&(h=a),h&&(n.head&&(x=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),x)),n.flags&512&&n.wrap&4&&(n.check=Zr(n.check,r,h,o)),a-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=IP;case IP:if(n.flags&2048){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.name+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Zr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=OP;case OP:if(n.flags&4096){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.comment+=String.fromCharCode(x));while(x&&h<a);if(n.flags&512&&n.wrap&4&&(n.check=Zr(n.check,r,h,o)),a-=h,o+=h,x)break e}else n.head&&(n.head.comment=null);n.mode=MP;case MP:if(n.flags&512){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.check&65535)){e.msg="header crc mismatch",n.mode=Hn;break}u=0,c=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=Pa;break;case NP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}e.adler=n.check=WP(u),u=0,c=0,n.mode=t1;case t1:if(n.havedict===0)return e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,Ise;e.adler=n.check=1,n.mode=Pa;case Pa:if(t===Pse||t===Ry)break e;case q2:if(n.last){u>>>=c&7,c-=c&7,n.mode=K2;break}for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}switch(n.last=u&1,u>>>=1,c-=1,u&3){case 0:n.mode=DP;break;case 1:if(Bse(n),n.mode=Iy,t===Ry){u>>>=2,c-=2;break e}break;case 2:n.mode=$P;break;case 3:e.msg="invalid block type",n.mode=Hn}u>>>=2,c-=2;break;case DP:for(u>>>=c&7,c-=c&7;c<32;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if((u&65535)!==(u>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Hn;break}if(n.length=u&65535,u=0,c=0,n.mode=W2,t===Ry)break e;case W2:n.mode=LP;case LP:if(h=n.length,h){if(h>a&&(h=a),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),s),a-=h,o+=h,l-=h,s+=h,n.length-=h;break}n.mode=Pa;break;case $P:for(;c<14;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(n.nlen=(u&31)+257,u>>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Hn;break}n.have=0,n.mode=FP;case FP:for(;n.have<n.ncode;){for(;c<3;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.lens[L[n.have++]]=u&7,u>>>=3,c-=3}for(;n.have<19;)n.lens[L[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},C=Ep(kse,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,C){e.msg="invalid code lengths set",n.mode=Hn;break}n.have=0,n.mode=BP;case BP:for(;n.have<n.nlen+n.ndist;){for(;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(g<16)u>>>=_,c-=_,n.lens[n.have++]=g;else{if(g===16){for(k=_+2;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(u>>>=_,c-=_,n.have===0){e.msg="invalid bit length repeat",n.mode=Hn;break}x=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(k=_+3;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=3+(u&7),u>>>=3,c-=3}else{for(k=_+7;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=_,c-=_,x=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Hn;break}for(;h--;)n.lens[n.have++]=x}}if(n.mode===Hn)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Hn;break}if(n.lenbits=9,T={bits:n.lenbits},C=Ep(lL,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,C){e.msg="invalid literal/lengths set",n.mode=Hn;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},C=Ep(uL,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,C){e.msg="invalid distances set",n.mode=Hn;break}if(n.mode=Iy,t===Ry)break e;case Iy:n.mode=Oy;case Oy:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,wse(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===Pa&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<<n.lenbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(y&&!(y&240)){for(v=_,S=y,w=g;b=n.lencode[w+((u&(1<<v+S)-1)>>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,n.length=g,y===0){n.mode=GP;break}if(y&32){n.back=-1,n.mode=Pa;break}if(y&64){e.msg="invalid literal/length code",n.mode=Hn;break}n.extra=y&15,n.mode=zP;case zP:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.length+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=UP;case UP:for(;b=n.distcode[u&(1<<n.distbits)-1],_=b>>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}if(!(y&240)){for(v=_,S=y,w=g;b=n.distcode[w+((u&(1<<v+S)-1)>>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,y&64){e.msg="invalid distance code",n.mode=Hn;break}n.offset=g,n.extra=y&15,n.mode=jP;case jP:if(n.extra){for(k=n.extra;c<k;){if(a===0)break e;a--,u+=r[o++]<<c,c+=8}n.offset+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Hn;break}n.mode=VP;case VP:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Hn;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=s-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[s++]=m[p++];while(--h);n.length===0&&(n.mode=Oy);break;case GP:if(l===0)break e;i[s++]=n.length,l--,n.mode=Oy;break;case K2:if(n.wrap){for(;c<32;){if(a===0)break e;a--,u|=r[o++]<<c,c+=8}if(f-=l,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?Zr(n.check,i,f,s-f):Ag(n.check,i,f,s-f)),f=l,n.wrap&4&&(n.flags?u:WP(u))!==n.check){e.msg="incorrect data check",n.mode=Hn;break}u=0,c=0}n.mode=HP;case HP:if(n.wrap&&n.flags){for(;c<32;){if(a===0)break 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Xc(e)||(r=e.state,r.wrap!==0&&r.mode!==t1)?is:r.mode===t1&&(i=1,i=Ag(i,t,n,0),i!==r.check)?cL:(o=vL(e,t,n,n),o?(r.mode=fL,dL):(r.havedict=1,Mc))};var Gse=gL,Hse=mL,qse=pL,Wse=Fse,Kse=yL,Xse=zse,Qse=Use,Yse=jse,Zse=Vse,Jse="pako inflate (from Nodeca project)",ja={inflateReset:Gse,inflateReset2:Hse,inflateResetKeep:qse,inflateInit:Wse,inflateInit2:Kse,inflate:Xse,inflateEnd:Qse,inflateGetHeader:Yse,inflateSetDictionary:Zse,inflateInfo:Jse};function eae(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}var tae=eae;const _L=Object.prototype.toString,{Z_NO_FLUSH:nae,Z_FINISH:rae,Z_OK:Rg,Z_STREAM_END:Y2,Z_NEED_DICT:Z2,Z_STREAM_ERROR:iae,Z_DATA_ERROR:XP,Z_MEM_ERROR:oae}=Tm;function km(e){this.options=B_.assign({chunkSize:1024*64,windowBits:15,to:""},e||{});const t=this.options;t.raw&&t.windowBits>=0&&t.windowBits<16&&(t.windowBits=-t.windowBits,t.windowBits===0&&(t.windowBits=-15)),t.windowBits>=0&&t.windowBits<16&&!(e&&e.windowBits)&&(t.windowBits+=32),t.windowBits>15&&t.windowBits<48&&(t.windowBits&15||(t.windowBits|=15)),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new sL,this.strm.avail_out=0;let n=ja.inflateInit2(this.strm,t.windowBits);if(n!==Rg)throw new Error(zf[n]);if(this.header=new tae,ja.inflateGetHeader(this.strm,this.header),t.dictionary&&(typeof t.dictionary=="string"?t.dictionary=Pg.string2buf(t.dictionary):_L.call(t.dictionary)==="[object ArrayBuffer]"&&(t.dictionary=new Uint8Array(t.dictionary)),t.raw&&(n=ja.inflateSetDictionary(this.strm,t.dictionary),n!==Rg)))throw new Error(zf[n])}km.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize,i=this.options.dictionary;let o,s,a;if(this.ended)return!1;for(t===~~t?s=t:s=t===!0?rae:nae,_L.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){for(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),o=ja.inflate(n,s),o===Z2&&i&&(o=ja.inflateSetDictionary(n,i),o===Rg?o=ja.inflate(n,s):o===XP&&(o=Z2));n.avail_in>0&&o===Y2&&n.state.wrap>0&&e[n.next_in]!==0;)ja.inflateReset(n),o=ja.inflate(n,s);switch(o){case iae:case XP:case Z2:case oae:return this.onEnd(o),this.ended=!0,!1}if(a=n.avail_out,n.next_out&&(n.avail_out===0||o===Y2))if(this.options.to==="string"){let l=Pg.utf8border(n.output,n.next_out),u=n.next_out-l,c=Pg.buf2string(n.output,l);n.next_out=u,n.avail_out=r-u,u&&n.output.set(n.output.subarray(l,l+u),0),this.onData(c)}else this.onData(n.output.length===n.next_out?n.output:n.output.subarray(0,n.next_out));if(!(o===Rg&&a===0)){if(o===Y2)return 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if(t.util.resetApiState.match(h))for(var v=0,S=Object.entries(u);v<S.length;v++){var w=S[v],x=w[0],g=w[1];delete u[x],g.cacheEntryRemoved()}};function d(h){return s(h)?h.meta.arg.queryCacheKey:a(h)?h.meta.requestId:t.internalActions.removeQueryResult.match(h)?h.payload.queryCacheKey:t.internalActions.removeMutationResult.match(h)?Og(h.payload):""}function f(h,p,m,b,_){var y=r.endpointDefinitions[h],g=y==null?void 0:y.onCacheEntryAdded;if(g){var v={},S=new Promise(function(k){v.cacheEntryRemoved=k}),w=Promise.race([new Promise(function(k){v.valueResolved=k}),S.then(function(){throw S6})]);w.catch(function(){}),u[m]=v;var x=t.endpoints[h].select(y.type===_a.query?p:m),C=b.dispatch(function(k,L,N){return N}),A=oa(yr({},b),{getCacheEntry:function(){return x(b.getState())},requestId:_,extra:C,updateCachedData:y.type===_a.query?function(k){return b.dispatch(t.util.updateQueryData(h,p,k))}:void 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T=f.payload,x=T.queryCacheKey,C=T.requestId;return d[x]&&delete d[x][C],!0}if(t.internalActions.removeQueryResult.match(f))return delete d[f.payload.queryCacheKey],!0;if(n.pending.match(f)){var k=f.meta,L=k.arg,C=k.requestId;if(L.subscribe){var N=(m=d[p=L.queryCacheKey])!=null?m:d[p]={};return N[C]=(_=(b=L.subscriptionOptions)!=null?b:N[C])!=null?_:{},!0}}if(n.rejected.match(f)){var E=f.meta,P=E.condition,L=E.arg,C=E.requestId;if(P&&L.subscribe){var N=(g=d[y=L.queryCacheKey])!=null?g:d[y]={};return N[C]=(S=(v=L.subscriptionOptions)!=null?v:N[C])!=null?S:{},!0}}return!1};return function(d,f){var h,p;if(o||(o=JSON.parse(JSON.stringify(r.currentSubscriptions))),t.util.resetApiState.match(d))return o=r.currentSubscriptions={},[!0,!1];if(t.internalActions.internal_probeSubscription.match(d)){var m=d.payload,b=m.queryCacheKey,_=m.requestId,y=!!((h=r.currentSubscriptions[b])!=null&&h[_]);return[!1,y]}var g=c(r.currentSubscriptions,d);if(g){s||(lce(function(){var 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f=Xue({baseQuery:r,reducerPath:o,context:n,api:e,serializeQueryArgs:s}),h=f.queryThunk,p=f.mutationThunk,m=f.patchQueryData,b=f.updateQueryData,_=f.upsertQueryData,y=f.prefetch,g=f.buildMatchThunkActions,v=Que({context:n,queryThunk:h,mutationThunk:p,reducerPath:o,assertTagType:d,config:{refetchOnFocus:u,refetchOnReconnect:c,refetchOnMountOrArgChange:l,keepUnusedDataFor:a,reducerPath:o}}),S=v.reducer,w=v.actions;Cl(e.util,{patchQueryData:m,updateQueryData:b,upsertQueryData:_,prefetch:y,resetApiState:w.resetApiState}),Cl(e.internalActions,w);var x=cce({reducerPath:o,context:n,queryThunk:h,mutationThunk:p,api:e,assertTagType:d}),C=x.middleware,A=x.actions;Cl(e.util,A),Cl(e,{reducer:S,middleware:C});var T=Yue({serializeQueryArgs:s,reducerPath:o}),k=T.buildQuerySelector,L=T.buildMutationSelector,N=T.selectInvalidatedBy;Cl(e.util,{selectInvalidatedBy:N});var E=Kue({queryThunk:h,mutationThunk:p,api:e,serializeQueryArgs:s,context:n}),P=E.buildInitiateQuery,D=E.buildInitiateMutation,B=E.getRunningMutationThunk,R=E.getRunningMutationsThunk,I=E.getRunningQueriesThunk,O=E.getRunningQueryThunk,F=E.getRunningOperationPromises,U=E.removalWarning;return Cl(e.util,{getRunningOperationPromises:F,getRunningOperationPromise:U,getRunningMutationThunk:B,getRunningMutationsThunk:R,getRunningQueryThunk:O,getRunningQueriesThunk:I}),{name:x6,injectEndpoint:function(V,H){var Y,Q,j=e;(Q=(Y=j.endpoints)[V])!=null||(Y[V]={}),n$(H)?Cl(j.endpoints[V],{name:V,select:k(V,H),initiate:P(V,H)},g(h,V)):que(H)&&Cl(j.endpoints[V],{name:V,select:L(),initiate:D(V)},g(p,V))}}}}},s$={exports:{}},a$={};/**
+ * @license React
+ * use-sync-external-store-shim.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var Gf=M;function fce(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var hce=typeof Object.is=="function"?Object.is:fce,pce=Gf.useState,gce=Gf.useEffect,mce=Gf.useLayoutEffect,yce=Gf.useDebugValue;function vce(e,t){var n=t(),r=pce({inst:{value:n,getSnapshot:t}}),i=r[0].inst,o=r[1];return mce(function(){i.value=n,i.getSnapshot=t,aw(i)&&o({inst:i})},[e,n,t]),gce(function(){return aw(i)&&o({inst:i}),e(function(){aw(i)&&o({inst:i})})},[e]),yce(n),n}function aw(e){var t=e.getSnapshot;e=e.value;try{var n=t();return!hce(e,n)}catch{return!0}}function _ce(e,t){return t()}var bce=typeof window>"u"||typeof window.document>"u"||typeof window.document.createElement>"u"?_ce:vce;a$.useSyncExternalStore=Gf.useSyncExternalStore!==void 0?Gf.useSyncExternalStore:bce;s$.exports=a$;var Sce=s$.exports,l$={exports:{}},u$={};/**
+ * @license React
+ * use-sync-external-store-shim/with-selector.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var ab=M,wce=Sce;function xce(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var Cce=typeof Object.is=="function"?Object.is:xce,Ece=wce.useSyncExternalStore,Tce=ab.useRef,Ace=ab.useEffect,kce=ab.useMemo,Pce=ab.useDebugValue;u$.useSyncExternalStoreWithSelector=function(e,t,n,r,i){var o=Tce(null);if(o.current===null){var s={hasValue:!1,value:null};o.current=s}else s=o.current;o=kce(function(){function l(h){if(!u){if(u=!0,c=h,h=r(h),i!==void 0&&s.hasValue){var p=s.value;if(i(p,h))return d=p}return d=h}if(p=d,Cce(c,h))return p;var m=r(h);return i!==void 0&&i(p,m)?p:(c=h,d=m)}var u=!1,c,d,f=n===void 0?null:n;return[function(){return l(t())},f===null?void 0:function(){return l(f())}]},[t,n,r,i]);var a=Ece(e,o[0],o[1]);return Ace(function(){s.hasValue=!0,s.value=a},[a]),Pce(a),a};l$.exports=u$;var c$=l$.exports;const Rce=Uc(c$);function Ice(e){e()}let d$=Ice;const Oce=e=>d$=e,Mce=()=>d$,C6=Symbol.for("react-redux-context"),E6=typeof globalThis<"u"?globalThis:{};function Nce(){var e;if(!M.createContext)return{};const t=(e=E6[C6])!=null?e:E6[C6]=new Map;let n=t.get(M.createContext);return n||(n=M.createContext(null),t.set(M.createContext,n)),n}const vu=Nce();function $5(e=vu){return function(){return M.useContext(e)}}const f$=$5(),Dce=()=>{throw new Error("uSES not initialized!")};let h$=Dce;const Lce=e=>{h$=e},$ce=(e,t)=>e===t;function Fce(e=vu){const t=e===vu?f$:$5(e);return function(r,i={}){const{equalityFn:o=$ce,stabilityCheck:s=void 0,noopCheck:a=void 0}=typeof i=="function"?{equalityFn:i}:i,{store:l,subscription:u,getServerState:c,stabilityCheck:d,noopCheck:f}=t();M.useRef(!0);const h=M.useCallback({[r.name](m){return r(m)}}[r.name],[r,d,s]),p=h$(u.addNestedSub,l.getState,c||l.getState,h,o);return M.useDebugValue(p),p}}const p$=Fce();function u1(){return u1=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},u1.apply(this,arguments)}var g$={exports:{}},un={};/** @license React v16.13.1
+ * react-is.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var ii=typeof Symbol=="function"&&Symbol.for,F5=ii?Symbol.for("react.element"):60103,B5=ii?Symbol.for("react.portal"):60106,lb=ii?Symbol.for("react.fragment"):60107,ub=ii?Symbol.for("react.strict_mode"):60108,cb=ii?Symbol.for("react.profiler"):60114,db=ii?Symbol.for("react.provider"):60109,fb=ii?Symbol.for("react.context"):60110,z5=ii?Symbol.for("react.async_mode"):60111,hb=ii?Symbol.for("react.concurrent_mode"):60111,pb=ii?Symbol.for("react.forward_ref"):60112,gb=ii?Symbol.for("react.suspense"):60113,Bce=ii?Symbol.for("react.suspense_list"):60120,mb=ii?Symbol.for("react.memo"):60115,yb=ii?Symbol.for("react.lazy"):60116,zce=ii?Symbol.for("react.block"):60121,Uce=ii?Symbol.for("react.fundamental"):60117,jce=ii?Symbol.for("react.responder"):60118,Vce=ii?Symbol.for("react.scope"):60119;function Bo(e){if(typeof e=="object"&&e!==null){var t=e.$$typeof;switch(t){case F5:switch(e=e.type,e){case z5:case hb:case lb:case cb:case ub:case gb:return e;default:switch(e=e&&e.$$typeof,e){case fb:case pb:case yb:case mb:case db:return e;default:return t}}case B5:return t}}}function m$(e){return Bo(e)===hb}un.AsyncMode=z5;un.ConcurrentMode=hb;un.ContextConsumer=fb;un.ContextProvider=db;un.Element=F5;un.ForwardRef=pb;un.Fragment=lb;un.Lazy=yb;un.Memo=mb;un.Portal=B5;un.Profiler=cb;un.StrictMode=ub;un.Suspense=gb;un.isAsyncMode=function(e){return m$(e)||Bo(e)===z5};un.isConcurrentMode=m$;un.isContextConsumer=function(e){return Bo(e)===fb};un.isContextProvider=function(e){return Bo(e)===db};un.isElement=function(e){return typeof e=="object"&&e!==null&&e.$$typeof===F5};un.isForwardRef=function(e){return Bo(e)===pb};un.isFragment=function(e){return Bo(e)===lb};un.isLazy=function(e){return Bo(e)===yb};un.isMemo=function(e){return Bo(e)===mb};un.isPortal=function(e){return Bo(e)===B5};un.isProfiler=function(e){return Bo(e)===cb};un.isStrictMode=function(e){return Bo(e)===ub};un.isSuspense=function(e){return Bo(e)===gb};un.isValidElementType=function(e){return typeof e=="string"||typeof e=="function"||e===lb||e===hb||e===cb||e===ub||e===gb||e===Bce||typeof e=="object"&&e!==null&&(e.$$typeof===yb||e.$$typeof===mb||e.$$typeof===db||e.$$typeof===fb||e.$$typeof===pb||e.$$typeof===Uce||e.$$typeof===jce||e.$$typeof===Vce||e.$$typeof===zce)};un.typeOf=Bo;g$.exports=un;var Gce=g$.exports,y$=Gce,Hce={$$typeof:!0,render:!0,defaultProps:!0,displayName:!0,propTypes:!0},qce={$$typeof:!0,compare:!0,defaultProps:!0,displayName:!0,propTypes:!0,type:!0},v$={};v$[y$.ForwardRef]=Hce;v$[y$.Memo]=qce;var _n={};/**
+ * @license React
+ * react-is.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return 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n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),c=l.x*u,d=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(c),Math.abs(d))),this.setAttr("shadowOffsetX",a.x*c),this.setAttr("shadowOffsetY",a.y*d)}}Ya.SceneContext=Tve;class Ave extends Ub{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}Ya.HitContext=Ave;Object.defineProperty(Ns,"__esModule",{value:!0});Ns.HitCanvas=Ns.SceneCanvas=Ns.Canvas=void 0;const T1=sr,oz=Ya,sz=At,kve=Et,Pve=We;var Ky;function Rve(){if(Ky)return Ky;var e=T1.Util.createCanvasElement(),t=e.getContext("2d");return Ky=function(){var n=sz.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),T1.Util.releaseCanvas(e),Ky}class jb{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||sz.Konva.pixelRatio||Rve();this.pixelRatio=r,this._canvas=T1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return T1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Ns.Canvas=jb;kve.Factory.addGetterSetter(jb,"pixelRatio",void 0,(0,Pve.getNumberValidator)());class Ive extends jb{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new oz.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Ns.SceneCanvas=Ive;class Ove extends jb{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new oz.HitContext(this),this.setSize(t.width,t.height)}}Ns.HitCanvas=Ove;var Vb={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=At,n=sr;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=a.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(Vb);Object.defineProperty(Qn,"__esModule",{value:!0});Qn.Node=void 0;const It=sr,Bm=Et,Xy=Ns,Gu=At,jo=Vb,_r=We;var z0="absoluteOpacity",Qy="allEventListeners",La="absoluteTransform",U8="absoluteScale",Hu="canvas",Mve="Change",Nve="children",Dve="konva",n3="listening",j8="mouseenter",V8="mouseleave",G8="set",H8="Shape",U0=" ",q8="stage",Al="transform",Lve="Stage",r3="visible",$ve=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(U0);let Fve=1;class ut{constructor(t){this._id=Fve++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===Al||t===La)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===Al||t===La,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(U0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Hu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===La&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Hu)){const{scene:t,filter:n,hit:r}=this._cache.get(Hu);It.Util.releaseCanvas(t,n,r),this._cache.delete(Hu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){It.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Xy.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Xy.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Xy.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Hu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(z0),this._clearSelfAndDescendantCache(U8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(Hu,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Hu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){It.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(d){It.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Qy),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(U0),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(U0),i=r.length,o,s,a,l,u,c;if(this._cache&&this._cache.delete(Qy),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(s in this.eventListeners)this._off(s,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=It.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),jo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(La),this._clearSelfAndDescendantCache(z0),this._clearSelfAndDescendantCache(U8),this._clearSelfAndDescendantCache(q8),this._clearSelfAndDescendantCache(r3),this._clearSelfAndDescendantCache(n3)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+It.Util._capitalize(t);return It.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==Nve&&(r=G8+It.Util._capitalize(n),It.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(n3,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(r3,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;jo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Gu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==H8&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==Lve&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(Al),this._clearSelfAndDescendantCache(La)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new It.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(Al);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(Al),this._clearSelfAndDescendantCache(La),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return It.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return It.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return It.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return It.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return It.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&It.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(z0,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=It.Util.isObject(i)&&!It.Util._isPlainObject(i)&&!It.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),It.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],It.Util.isValidSelector(o)||(It.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),It.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),It.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(q8,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(La,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new It.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(La)||new It.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(Al,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(Al)||new It.Transform;r.reset();var i=this.x(),o=this.y(),s=Gu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||c!==0)&&r.skew(u,c),(a!==1||l!==1)&&r.scale(a,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=It.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(Dve)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new Xy.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,It.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():Gu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+Mve,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[G8+It.Util._capitalize(t)];return It.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(Gu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!It.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===H8&&(n.target=this);var i=(t===j8||t===V8)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===j8||t===V8)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Qy))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(Qy,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;jo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){jo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=jo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:It.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=jo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),jo.DD._endDragBefore(t),jo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=jo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||Gu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;jo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=jo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&jo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return It.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return It.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ut.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Gu.Konva[r]||(It.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Gu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(ut._createNode(i[a]));return o}}Qn.Node=ut;ut.prototype.nodeType="Node";ut.prototype._attrsAffectingSize=[];ut.prototype.eventListeners={};ut.prototype.on.call(ut.prototype,$ve,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(Al),this._clearSelfAndDescendantCache(La)});ut.prototype.on.call(ut.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(r3)});ut.prototype.on.call(ut.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(n3)});ut.prototype.on.call(ut.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(z0)});const xn=Bm.Factory.addGetterSetter;xn(ut,"zIndex");xn(ut,"absolutePosition");xn(ut,"position");xn(ut,"x",0,(0,_r.getNumberValidator)());xn(ut,"y",0,(0,_r.getNumberValidator)());xn(ut,"globalCompositeOperation","source-over",(0,_r.getStringValidator)());xn(ut,"opacity",1,(0,_r.getNumberValidator)());xn(ut,"name","",(0,_r.getStringValidator)());xn(ut,"id","",(0,_r.getStringValidator)());xn(ut,"rotation",0,(0,_r.getNumberValidator)());Bm.Factory.addComponentsGetterSetter(ut,"scale",["x","y"]);xn(ut,"scaleX",1,(0,_r.getNumberValidator)());xn(ut,"scaleY",1,(0,_r.getNumberValidator)());Bm.Factory.addComponentsGetterSetter(ut,"skew",["x","y"]);xn(ut,"skewX",0,(0,_r.getNumberValidator)());xn(ut,"skewY",0,(0,_r.getNumberValidator)());Bm.Factory.addComponentsGetterSetter(ut,"offset",["x","y"]);xn(ut,"offsetX",0,(0,_r.getNumberValidator)());xn(ut,"offsetY",0,(0,_r.getNumberValidator)());xn(ut,"dragDistance",null,(0,_r.getNumberValidator)());xn(ut,"width",0,(0,_r.getNumberValidator)());xn(ut,"height",0,(0,_r.getNumberValidator)());xn(ut,"listening",!0,(0,_r.getBooleanValidator)());xn(ut,"preventDefault",!0,(0,_r.getBooleanValidator)());xn(ut,"filters",null,function(e){return this._filterUpToDate=!1,e});xn(ut,"visible",!0,(0,_r.getBooleanValidator)());xn(ut,"transformsEnabled","all",(0,_r.getStringValidator)());xn(ut,"size");xn(ut,"dragBoundFunc");xn(ut,"draggable",!1,(0,_r.getBooleanValidator)());Bm.Factory.backCompat(ut,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var Yc={};Object.defineProperty(Yc,"__esModule",{value:!0});Yc.Container=void 0;const dh=Et,Cw=Qn,Gb=We;class Zc extends Cw.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Cw.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Cw.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(b){b[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}Yc.Container=Zc;dh.Factory.addComponentsGetterSetter(Zc,"clip",["x","y","width","height"]);dh.Factory.addGetterSetter(Zc,"clipX",void 0,(0,Gb.getNumberValidator)());dh.Factory.addGetterSetter(Zc,"clipY",void 0,(0,Gb.getNumberValidator)());dh.Factory.addGetterSetter(Zc,"clipWidth",void 0,(0,Gb.getNumberValidator)());dh.Factory.addGetterSetter(Zc,"clipHeight",void 0,(0,Gb.getNumberValidator)());dh.Factory.addGetterSetter(Zc,"clipFunc");var az={},ko={};Object.defineProperty(ko,"__esModule",{value:!0});ko.releaseCapture=ko.setPointerCapture=ko.hasPointerCapture=ko.createEvent=ko.getCapturedShape=void 0;const Bve=At,jg=new Map,lz=Bve.Konva._global.PointerEvent!==void 0;function zve(e){return jg.get(e)}ko.getCapturedShape=zve;function ST(e){return{evt:e,pointerId:e.pointerId}}ko.createEvent=ST;function Uve(e,t){return jg.get(e)===t}ko.hasPointerCapture=Uve;function jve(e,t){uz(e),t.getStage()&&(jg.set(e,t),lz&&t._fire("gotpointercapture",ST(new PointerEvent("gotpointercapture"))))}ko.setPointerCapture=jve;function uz(e,t){const n=jg.get(e);if(!n)return;const r=n.getStage();r&&r.content,jg.delete(e),lz&&n._fire("lostpointercapture",ST(new PointerEvent("lostpointercapture")))}ko.releaseCapture=uz;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=sr,n=Et,r=Yc,i=At,o=Ns,s=Vb,a=At,l=ko;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",b="mousemove",_="mousedown",y="mouseup",g="pointermove",v="pointerdown",S="pointerup",w="pointercancel",x="lostpointercapture",C="pointerout",A="pointerleave",T="pointerover",k="pointerenter",L="contextmenu",N="touchstart",E="touchend",P="touchmove",D="touchcancel",B="wheel",R=5,I=[[m,"_pointerenter"],[_,"_pointerdown"],[b,"_pointermove"],[y,"_pointerup"],[h,"_pointerleave"],[N,"_pointerdown"],[P,"_pointermove"],[E,"_pointerup"],[D,"_pointercancel"],[p,"_pointerover"],[B,"_wheel"],[L,"_contextmenu"],[v,"_pointerdown"],[g,"_pointermove"],[S,"_pointerup"],[w,"_pointercancel"],[x,"_lostpointercapture"]];const O={mouse:{[C]:f,[A]:h,[T]:p,[k]:m,[g]:b,[v]:_,[S]:y,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[C]:"touchout",[A]:"touchleave",[T]:"touchover",[k]:"touchenter",[g]:P,[v]:N,[S]:E,[w]:D,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[C]:C,[A]:A,[T]:T,[k]:k,[g]:g,[v]:v,[S]:S,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},F=Q=>Q.indexOf("pointer")>=0?"pointer":Q.indexOf("touch")>=0?"touch":"mouse",U=Q=>{const j=F(Q);if(j==="pointer")return i.Konva.pointerEventsEnabled&&O.pointer;if(j==="touch")return O.touch;if(j==="mouse")return O.mouse};function V(Q={}){return(Q.clipFunc||Q.clipWidth||Q.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Q}const H="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class Y extends r.Container{constructor(j){super(V(j)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(j){const K=j.getType()==="Layer",te=j.getType()==="FastLayer";K||te||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var K=j.slice(1);j=document.getElementsByClassName(K)[0]}else{var te;j.charAt(0)!=="#"?te=j:te=j.slice(1),j=document.getElementById(te)}if(!j)throw"Can not find container in document with id "+te}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,K=j.length,te;for(te=0;te<K;te++)j[te].clear();return this}clone(j){return j||(j={}),j.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,j)}destroy(){super.destroy();var j=this.content;j&&t.Util._isInDocument(j)&&this.container().removeChild(j);var K=e.stages.indexOf(this);return K>-1&&e.stages.splice(K,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(H),null)}_getPointerById(j){return this._pointerPositions.find(K=>K.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var K=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),te=K.getContext()._context,oe=this.children;return(j.x||j.y)&&te.translate(-1*j.x,-1*j.y),oe.forEach(function(me){if(me.isVisible()){var le=me._toKonvaCanvas(j);te.drawImage(le._canvas,j.x,j.y,le.getWidth()/le.getPixelRatio(),le.getHeight()/le.getPixelRatio())}}),K}getIntersection(j){if(!j)return null;var K=this.children,te=K.length,oe=te-1,me;for(me=oe;me>=0;me--){const le=K[me].getIntersection(j);if(le)return le}return null}_resizeDOM(){var j=this.width(),K=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=K+d),this.bufferCanvas.setSize(j,K),this.bufferHitCanvas.setSize(j,K),this.children.forEach(te=>{te.setSize({width:j,height:K}),te.draw()})}add(j,...K){if(arguments.length>1){for(var te=0;te<arguments.length;te++)this.add(arguments[te]);return this}super.add(j);var oe=this.children.length;return oe>R&&t.Util.warn("The stage has "+oe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&I.forEach(([j,K])=>{this.content.addEventListener(j,te=>{this[K](te)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let K=this[j+"targetShape"];return K&&!K.getStage()&&(K=null),K}_pointerleave(j){const K=U(j.type),te=F(j.type);if(K){this.setPointersPositions(j);var oe=this._getTargetShape(te),me=!s.DD.isDragging||i.Konva.hitOnDragEnabled;oe&&me?(oe._fireAndBubble(K.pointerout,{evt:j}),oe._fireAndBubble(K.pointerleave,{evt:j}),this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this[te+"targetShape"]=null):me&&(this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(K.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const K=U(j.type),te=F(j.type);if(K){this.setPointersPositions(j);var oe=!1;this._changedPointerPositions.forEach(me=>{var le=this.getIntersection(me);if(s.DD.justDragged=!1,i.Konva["_"+te+"ListenClick"]=!0,!(le&&le.isListening()))return;i.Konva.capturePointerEventsEnabled&&le.setPointerCapture(me.id),this[te+"ClickStartShape"]=le,le._fireAndBubble(K.pointerdown,{evt:j,pointerId:me.id}),oe=!0;const nt=j.type.indexOf("touch")>=0;le.preventDefault()&&j.cancelable&&nt&&j.preventDefault()}),oe||this._fire(K.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const K=U(j.type),te=F(j.type);if(!K)return;s.DD.isDragging&&s.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var oe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!oe)return;var me={};let le=!1;var ht=this._getTargetShape(te);this._changedPointerPositions.forEach(nt=>{const $e=l.getCapturedShape(nt.id)||this.getIntersection(nt),ct=nt.id,Pe={evt:j,pointerId:ct};var qt=ht!==$e;if(qt&&ht&&(ht._fireAndBubble(K.pointerout,Object.assign({},Pe),$e),ht._fireAndBubble(K.pointerleave,Object.assign({},Pe),$e)),$e){if(me[$e._id])return;me[$e._id]=!0}$e&&$e.isListening()?(le=!0,qt&&($e._fireAndBubble(K.pointerover,Object.assign({},Pe),ht),$e._fireAndBubble(K.pointerenter,Object.assign({},Pe),ht),this[te+"targetShape"]=$e),$e._fireAndBubble(K.pointermove,Object.assign({},Pe))):ht&&(this._fire(K.pointerover,{evt:j,target:this,currentTarget:this,pointerId:ct}),this[te+"targetShape"]=null)}),le||this._fire(K.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const K=U(j.type),te=F(j.type);if(!K)return;this.setPointersPositions(j);const oe=this[te+"ClickStartShape"],me=this[te+"ClickEndShape"];var le={};let ht=!1;this._changedPointerPositions.forEach(nt=>{const $e=l.getCapturedShape(nt.id)||this.getIntersection(nt);if($e){if($e.releaseCapture(nt.id),le[$e._id])return;le[$e._id]=!0}const ct=nt.id,Pe={evt:j,pointerId:ct};let qt=!1;i.Konva["_"+te+"InDblClickWindow"]?(qt=!0,clearTimeout(this[te+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+te+"InDblClickWindow"]=!0,clearTimeout(this[te+"DblTimeout"])),this[te+"DblTimeout"]=setTimeout(function(){i.Konva["_"+te+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),$e&&$e.isListening()?(ht=!0,this[te+"ClickEndShape"]=$e,$e._fireAndBubble(K.pointerup,Object.assign({},Pe)),i.Konva["_"+te+"ListenClick"]&&oe&&oe===$e&&($e._fireAndBubble(K.pointerclick,Object.assign({},Pe)),qt&&me&&me===$e&&$e._fireAndBubble(K.pointerdblclick,Object.assign({},Pe)))):(this[te+"ClickEndShape"]=null,i.Konva["_"+te+"ListenClick"]&&this._fire(K.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:ct}),qt&&this._fire(K.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:ct}))}),ht||this._fire(K.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+te+"ListenClick"]=!1,j.cancelable&&te!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(B,{evt:j}):this._fire(B,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const K=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());K&&K._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var K=this._getContentPosition(),te=null,oe=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,me=>{this._pointerPositions.push({id:me.identifier,x:(me.clientX-K.left)/K.scaleX,y:(me.clientY-K.top)/K.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,me=>{this._changedPointerPositions.push({id:me.identifier,x:(me.clientX-K.left)/K.scaleX,y:(me.clientY-K.top)/K.scaleY})})):(te=(j.clientX-K.left)/K.scaleX,oe=(j.clientY-K.top)/K.scaleY,this.pointerPos={x:te,y:oe},this._pointerPositions=[{x:te,y:oe,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:te,y:oe,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var j=this.container();if(!j)throw"Stage has no container. A container is required.";j.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),j.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(j){j.batchDraw()}),this}}e.Stage=Y,Y.prototype.nodeType=u,(0,a._registerNode)(Y),n.Factory.addGetterSetter(Y,"container")})(az);var zm={},jr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=At,n=sr,r=Et,i=Qn,o=We,s=At,a=ko;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function y(A){A.stroke()}function g(){this._clearCache(l)}function v(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class C extends i.Node{constructor(T){super(T);let k;for(;k=n.Util.getRandomColor(),!(k&&!(k in e.shapes)););this.colorKey=k,e.shapes[k]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const k=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(k&&k.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const N=L.getMatrix(),E=typeof DOMMatrix>"u"?{a:N[0],b:N[1],c:N[2],d:N[3],e:N[4],f:N[5]}:new DOMMatrix(N);k.setTransform(E)}return k}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var k=p(),L=this.fillLinearGradientStartPoint(),N=this.fillLinearGradientEndPoint(),E=k.createLinearGradient(L.x,L.y,N.x,N.y),P=0;P<T.length;P+=2)E.addColorStop(T[P],T[P+1]);return E}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var T=this.fillRadialGradientColorStops();if(T){for(var k=p(),L=this.fillRadialGradientStartPoint(),N=this.fillRadialGradientEndPoint(),E=k.createRadialGradient(L.x,L.y,this.fillRadialGradientStartRadius(),N.x,N.y,this.fillRadialGradientEndRadius()),P=0;P<T.length;P+=2)E.addColorStop(T[P],T[P+1]);return E}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var T=n.Util.colorToRGBA(this.shadowColor());if(T)return"rgba("+T.r+","+T.g+","+T.b+","+T.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var k=this.getStage(),L=k.bufferHitCanvas,N;return L.getContext().clear(),this.drawHit(L,null,!0),N=L.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,N[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var k;if(!this.getStage()||!((k=this.attrs.perfectDrawEnabled)!==null&&k!==void 0?k:!0))return!1;const N=T||this.hasFill(),E=this.hasStroke(),P=this.getAbsoluteOpacity()!==1;if(N&&E&&P)return!0;const D=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(N&&E&&D&&B)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const k=T.skipTransform,L=T.relativeTo,N=this.getSelfRect(),P=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=N.width+P,B=N.height+P,R=!T.skipShadow&&this.hasShadow(),I=R?this.shadowOffsetX():0,O=R?this.shadowOffsetY():0,F=D+Math.abs(I),U=B+Math.abs(O),V=R&&this.shadowBlur()||0,H=F+V*2,Y=U+V*2,Q={width:H,height:Y,x:-(P/2+V)+Math.min(I,0)+N.x,y:-(P/2+V)+Math.min(O,0)+N.y};return k?Q:this._transformedRect(Q,L)}drawScene(T,k){var L=this.getLayer(),N=T||L.getCanvas(),E=N.getContext(),P=this._getCanvasCache(),D=this.getSceneFunc(),B=this.hasShadow(),R,I,O,F=N.isCache,U=k===this;if(!this.isVisible()&&!U)return this;if(P){E.save();var V=this.getAbsoluteTransform(k).getMatrix();return E.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(E),E.restore(),this}if(!D)return this;if(E.save(),this._useBufferCanvas()&&!F){R=this.getStage(),I=R.bufferCanvas,O=I.getContext(),O.clear(),O.save(),O._applyLineJoin(this);var H=this.getAbsoluteTransform(k).getMatrix();O.transform(H[0],H[1],H[2],H[3],H[4],H[5]),D.call(this,O,this),O.restore();var Y=I.pixelRatio;B&&E._applyShadow(this),E._applyOpacity(this),E._applyGlobalCompositeOperation(this),E.drawImage(I._canvas,0,0,I.width/Y,I.height/Y)}else{if(E._applyLineJoin(this),!U){var H=this.getAbsoluteTransform(k).getMatrix();E.transform(H[0],H[1],H[2],H[3],H[4],H[5]),E._applyOpacity(this),E._applyGlobalCompositeOperation(this)}B&&E._applyShadow(this),D.call(this,E,this)}return E.restore(),this}drawHit(T,k,L=!1){if(!this.shouldDrawHit(k,L))return this;var N=this.getLayer(),E=T||N.hitCanvas,P=E&&E.getContext(),D=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),R=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),R){P.save();var I=this.getAbsoluteTransform(k).getMatrix();return P.transform(I[0],I[1],I[2],I[3],I[4],I[5]),this._drawCachedHitCanvas(P),P.restore(),this}if(!D)return this;if(P.save(),P._applyLineJoin(this),!(this===k)){var F=this.getAbsoluteTransform(k).getMatrix();P.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return D.call(this,P,this),P.restore(),this}drawHitFromCache(T=0){var k=this._getCanvasCache(),L=this._getCachedSceneCanvas(),N=k.hit,E=N.getContext(),P=N.getWidth(),D=N.getHeight(),B,R,I,O,F,U;E.clear(),E.drawImage(L._canvas,0,0,P,D);try{for(B=E.getImageData(0,0,P,D),R=B.data,I=R.length,O=n.Util._hexToRgb(this.colorKey),F=0;F<I;F+=4)U=R[F+3],U>T?(R[F]=O.r,R[F+1]=O.g,R[F+2]=O.b,R[F+3]=255):R[F+3]=0;E.putImageData(B,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=C,C.prototype._fillFunc=m,C.prototype._strokeFunc=b,C.prototype._fillFuncHit=_,C.prototype._strokeFuncHit=y,C.prototype._centroid=!1,C.prototype.nodeType="Shape",(0,s._registerNode)(C),C.prototype.eventListeners={},C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",v),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(C,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(C,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(C,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"lineJoin"),r.Factory.addGetterSetter(C,"lineCap"),r.Factory.addGetterSetter(C,"sceneFunc"),r.Factory.addGetterSetter(C,"hitFunc"),r.Factory.addGetterSetter(C,"dash"),r.Factory.addGetterSetter(C,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(C,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(C,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternImage"),r.Factory.addGetterSetter(C,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(C,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(C,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(C,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(C,"fillEnabled",!0),r.Factory.addGetterSetter(C,"strokeEnabled",!0),r.Factory.addGetterSetter(C,"shadowEnabled",!0),r.Factory.addGetterSetter(C,"dashEnabled",!0),r.Factory.addGetterSetter(C,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(C,"fillPriority","color"),r.Factory.addComponentsGetterSetter(C,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(C,"fillPatternRotation",0),r.Factory.addGetterSetter(C,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(C,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(jr);Object.defineProperty(zm,"__esModule",{value:!0});zm.Layer=void 0;const Oa=sr,Ew=Yc,xd=Qn,wT=Et,W8=Ns,Vve=We,Gve=jr,Hve=At;var qve="#",Wve="beforeDraw",Kve="draw",cz=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Xve=cz.length;class fh extends Ew.Container{constructor(t){super(t),this.canvas=new W8.SceneCanvas,this.hitCanvas=new W8.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){xd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=xd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(xd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(xd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return xd.Node.prototype.remove.call(this),t&&t.parentNode&&Oa.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Oa.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),xd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){Oa.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){Oa.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,Oa.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<Xve;i++){const o=cz[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=Oa.Util._rgbToHex(r[0],r[1],r[2]),s=Gve.shapes[qve+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Wve,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Ew.Container.prototype.drawScene.call(this,i,n),this._fire(Kve,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Ew.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){Oa.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return Oa.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return Oa.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}zm.Layer=fh;fh.prototype.nodeType="Layer";(0,Hve._registerNode)(fh);wT.Factory.addGetterSetter(fh,"imageSmoothingEnabled",!0);wT.Factory.addGetterSetter(fh,"clearBeforeDraw",!0);wT.Factory.addGetterSetter(fh,"hitGraphEnabled",!0,(0,Vve.getBooleanValidator)());var Hb={};Object.defineProperty(Hb,"__esModule",{value:!0});Hb.FastLayer=void 0;const Qve=sr,Yve=zm,Zve=At;class xT extends Yve.Layer{constructor(t){super(t),this.listening(!1),Qve.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}Hb.FastLayer=xT;xT.prototype.nodeType="FastLayer";(0,Zve._registerNode)(xT);var hh={};Object.defineProperty(hh,"__esModule",{value:!0});hh.Group=void 0;const Jve=sr,e1e=Yc,t1e=At;class CT extends e1e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Jve.Util.throw("You may only add groups and shapes to groups.")}}hh.Group=CT;CT.prototype.nodeType="Group";(0,t1e._registerNode)(CT);var ph={};Object.defineProperty(ph,"__esModule",{value:!0});ph.Animation=void 0;const Tw=At,K8=sr;var Aw=function(){return Tw.glob.performance&&Tw.glob.performance.now?function(){return Tw.glob.performance.now()}:function(){return new Date().getTime()}}();class na{constructor(t,n){this.id=na.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Aw(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=na,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Aw(),na._addAnimation(this),this}stop(){return na._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,c,d;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Aw()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=na;t.animations.length?(t._runFrames(),K8.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,K8.Util.requestAnimFrame(this._animationLoop))}}ph.Animation=na;na.animations=[];na.animIdCounter=0;na.animRunning=!1;var dz={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=sr,n=ph,r=Qn,i=At;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,b,_,y,g,v){this.prop=p,this.propFunc=m,this.begin=_,this._pos=_,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=v,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=b,this._change=y-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,b=p.node,_=b._id,y,g=p.easing||e.Easings.Linear,v=!!p.yoyo,S;typeof p.duration>"u"?y=.3:p.duration===0?y=.001:y=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(x){m._tweenFunc(x)},g,0,1,y*1e3,v),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,y,g,v,S,w,x,C,A;if(v=f.tweens[_][p],v&&delete f.attrs[_][v][p],y=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,y.length),p==="points"&&m.length!==y.length&&(m.length>y.length?(C=y,y=t.Util._prepareArrayForTween(y,m,b.closed())):(x=m,m=t.Util._prepareArrayForTween(m,y,b.closed()))),p.indexOf("fill")===0)for(S=0;S<w;S++)if(S%2===0)g.push(m[S]-y[S]);else{var T=t.Util.colorToRGBA(y[S]);A=t.Util.colorToRGBA(m[S]),y[S]=T,g.push({r:A.r-T.r,g:A.g-T.g,b:A.b-T.b,a:A.a-T.a})}else for(S=0;S<w;S++)g.push(m[S]-y[S]);else c.indexOf(p)!==-1?(y=t.Util.colorToRGBA(y),A=t.Util.colorToRGBA(m),g={r:A.r-y.r,g:A.g-y.g,b:A.b-y.b,a:A.a-y.a}):g=m-y;f.attrs[_][this._id][p]={start:y,diff:g,end:m,trueEnd:x,trueStart:C},f.tweens[_][p]=this._id}_tweenFunc(p){var m=this.node,b=f.attrs[m._id][this._id],_,y,g,v,S,w,x,C;for(_ in b){if(y=b[_],g=y.start,v=y.diff,C=y.end,t.Util._isArray(g))if(S=[],x=Math.max(g.length,C.length),_.indexOf("fill")===0)for(w=0;w<x;w++)w%2===0?S.push((g[w]||0)+v[w]*p):S.push("rgba("+Math.round(g[w].r+v[w].r*p)+","+Math.round(g[w].g+v[w].g*p)+","+Math.round(g[w].b+v[w].b*p)+","+(g[w].a+v[w].a*p)+")");else for(w=0;w<x;w++)S.push((g[w]||0)+v[w]*p);else c.indexOf(_)!==-1?S="rgba("+Math.round(g.r+v.r*p)+","+Math.round(g.g+v.g*p)+","+Math.round(g.b+v.b*p)+","+(g.a+v.a*p)+")":S=g+v*p;m.setAttr(_,S)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),-(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y))+p)},ElasticEaseOut(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),_*Math.pow(2,-10*h)*Math.sin((h*b-g)*(2*Math.PI)/y)+m+p)},ElasticEaseInOut(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b/2)===2?p+m:(y||(y=b*(.3*1.5)),!_||_<Math.abs(m)?(_=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/_),h<1?-.5*(_*Math.pow(2,10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y))+p:_*Math.pow(2,-10*(h-=1))*Math.sin((h*b-g)*(2*Math.PI)/y)*.5+m+p)},BounceEaseOut(h,p,m,b){return(h/=b)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,b){return m-e.Easings.BounceEaseOut(b-h,0,m,b)+p},BounceEaseInOut(h,p,m,b){return h<b/2?e.Easings.BounceEaseIn(h*2,0,m,b)*.5+p:e.Easings.BounceEaseOut(h*2-b,0,m,b)*.5+m*.5+p},EaseIn(h,p,m,b){return m*(h/=b)*h+p},EaseOut(h,p,m,b){return-m*(h/=b)*(h-2)+p},EaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,b){return m*(h/=b)*h*h*h*h+p},StrongEaseOut(h,p,m,b){return m*((h=h/b-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,b){return(h/=b/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,b){return m*h/b+p}}})(dz);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=At,n=sr,r=Qn,i=Yc,o=az,s=zm,a=Hb,l=hh,u=Vb,c=jr,d=ph,f=dz,h=Ya,p=Ns;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(rz);var qb={};Object.defineProperty(qb,"__esModule",{value:!0});qb.Arc=void 0;const Wb=Et,n1e=jr,X8=At,Kb=We,r1e=At;class yl extends n1e.Shape{_sceneFunc(t){var n=X8.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=X8.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),s=1,a=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}qb.Arc=yl;yl.prototype._centroid=!0;yl.prototype.className="Arc";yl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,r1e._registerNode)(yl);Wb.Factory.addGetterSetter(yl,"innerRadius",0,(0,Kb.getNumberValidator)());Wb.Factory.addGetterSetter(yl,"outerRadius",0,(0,Kb.getNumberValidator)());Wb.Factory.addGetterSetter(yl,"angle",0,(0,Kb.getNumberValidator)());Wb.Factory.addGetterSetter(yl,"clockwise",!1,(0,Kb.getBooleanValidator)());var Xb={},Um={};Object.defineProperty(Um,"__esModule",{value:!0});Um.Line=void 0;const Qb=Et,i1e=jr,fz=We,o1e=At;function i3(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function Q8(e,t){var n=e.length,r=[],i,o;for(i=2;i<n-2;i+=2)o=i3(e[i-2],e[i-1],e[i],e[i+1],e[i+2],e[i+3],t),!isNaN(o[0])&&(r.push(o[0]),r.push(o[1]),r.push(e[i]),r.push(e[i+1]),r.push(o[2]),r.push(o[3]));return r}class Mu extends i1e.Shape{constructor(t){super(t),this.on("pointsChange.konva tensionChange.konva closedChange.konva bezierChange.konva",function(){this._clearCache("tensionPoints")})}_sceneFunc(t){var n=this.points(),r=n.length,i=this.tension(),o=this.closed(),s=this.bezier(),a,l,u;if(r){if(t.beginPath(),t.moveTo(n[0],n[1]),i!==0&&r>4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u<l-2;)t.bezierCurveTo(a[u++],a[u++],a[u++],a[u++],a[u++],a[u++]);o||t.quadraticCurveTo(a[l-2],a[l-1],n[r-2],n[r-1])}else if(s)for(u=2;u<r;)t.bezierCurveTo(n[u++],n[u++],n[u++],n[u++],n[u++],n[u++]);else for(u=2;u<r;u+=2)t.lineTo(n[u],n[u+1]);o?(t.closePath(),t.fillStrokeShape(this)):t.strokeShape(this)}}getTensionPoints(){return this._getCache("tensionPoints",this._getTensionPoints)}_getTensionPoints(){return this.closed()?this._getTensionPointsClosed():Q8(this.points(),this.tension())}_getTensionPointsClosed(){var t=this.points(),n=t.length,r=this.tension(),i=i3(t[n-2],t[n-1],t[0],t[1],t[2],t[3],r),o=i3(t[n-4],t[n-3],t[n-2],t[n-1],t[0],t[1],r),s=Q8(t,r),a=[i[2],i[3]].concat(s).concat([o[0],o[1],t[n-2],t[n-1],o[2],o[3],i[0],i[1],t[0],t[1]]);return 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a=s[0],l=s[1],u=s[2],c=s[3],d=s[4],f=s[5],h=s[6],p=s[7],m=u>c?u:c,b=u>c?1:u/c,_=u>c?c/u:1;t.translate(a,l),t.rotate(h),t.scale(b,_),t.arc(0,0,m,d,d+f,1-p),t.scale(1/b,1/_),t.rotate(-h),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var c=u.points[4],d=u.points[5],f=u.points[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),d<0)for(let p=c-h;p>f;p-=h){const m=Dr.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}else for(let p=c+h;p<f;p+=h){const m=Dr.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}}else if(u.command==="C")for(let p=0;p<=1;p+=.01){const m=Dr.getPointOnCubicBezier(p,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(m.x,m.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Dr.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Dr.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Dr.getPointOnCubicBezier((0,Cd.t2length)(t,Dr.getPathLength(n),m=>(0,Cd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Dr.getPointOnQuadraticBezier((0,Cd.t2length)(t,Dr.getPathLength(n),m=>(0,Cd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,Dr.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:s,y:a+c};else if((a-r)/(s-n+1e-8)===l)d={x:s+u,y:a+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(s-n)*(i-n)+(a-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var b=this.getLineLength(s,a,f,h),_=Math.sqrt(t*t-b*b);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function c(b){return b*b*b}function d(b){return 3*b*b*(1-b)}function f(b){return 3*b*(1-b)*(1-b)}function h(b){return(1-b)*(1-b)*(1-b)}var p=l*c(t)+s*d(t)+i*f(t)+n*h(t),m=u*c(t)+a*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=s*l(t)+i*u(t)+n*c(t),f=a*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),a.length=0;d=c.exec(f);)a.push(d[0]);for(var p=[],m=0,b=a.length;m<b;m++){if(a[m]==="00"){p.push(0,0);continue}var _=parseFloat(a[m]);isNaN(_)?p.push(0):p.push(_)}for(;p.length>0&&!isNaN(p[0]);){var y=null,g=[],v=l,S=u,w,x,C,A,T,k,L,N,E,P;switch(h){case"l":l+=p.shift(),u+=p.shift(),y="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var D=p.shift(),B=p.shift();if(l+=D,u+=B,y="M",s.length>2&&s[s.length-1].command==="z"){for(var R=s.length-2;R>=0;R--)if(s[R].command==="M"){l=s[R].points[0]+D,u=s[R].points[1]+B;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),y="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),y="L",g.push(l,u);break;case"H":l=p.shift(),y="L",g.push(l,u);break;case"v":u+=p.shift(),y="L",g.push(l,u);break;case"V":u=p.shift(),y="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"S":x=l,C=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,p.shift(),p.shift()),l=p.shift(),u=p.shift(),y="C",g.push(l,u);break;case"s":x=l,C=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="Q",g.push(l,u);break;case"T":x=l,C=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l=p.shift(),u=p.shift(),y="Q",g.push(x,C,l,u);break;case"t":x=l,C=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),y="Q",g.push(x,C,l,u);break;case"A":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),E=l,P=u,l=p.shift(),u=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,P,l,u,L,N,A,T,k);break;case"a":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),E=l,P=u,l+=p.shift(),u+=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,P,l,u,L,N,A,T,k);break}s.push({command:y||h,points:g,start:{x:v,y:S},pathLength:this.calcLength(v,S,y||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Dr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,Cd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,Cd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l<f;l+=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(a*a)+f*f/(l*l);h>1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,y=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},v=function(T,k){return(T[0]*k[0]+T[1]*k[1])/(g(T)*g(k))},S=function(T,k){return(T[0]*k[1]<T[1]*k[0]?-1:1)*Math.acos(v(T,k))},w=S([1,0],[(d-m)/a,(f-b)/l]),x=[(d-m)/a,(f-b)/l],C=[(-1*d-m)/a,(-1*f-b)/l],A=S(x,C);return v(x,C)<=-1&&(A=Math.PI),v(x,C)>=1&&(A=0),s===0&&A>0&&(A=A-2*Math.PI),s===1&&A<0&&(A=A+2*Math.PI),[_,y,a,l,w,A,c,s]}}gh.Path=Dr;Dr.prototype.className="Path";Dr.prototype._attrsAffectingSize=["data"];(0,l1e._registerNode)(Dr);s1e.Factory.addGetterSetter(Dr,"data");Object.defineProperty(Xb,"__esModule",{value:!0});Xb.Arrow=void 0;const Yb=Et,u1e=Um,pz=We,c1e=At,Y8=gh;class Jc extends u1e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=Y8.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=Y8.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}Xb.Arrow=Jc;Jc.prototype.className="Arrow";(0,c1e._registerNode)(Jc);Yb.Factory.addGetterSetter(Jc,"pointerLength",10,(0,pz.getNumberValidator)());Yb.Factory.addGetterSetter(Jc,"pointerWidth",10,(0,pz.getNumberValidator)());Yb.Factory.addGetterSetter(Jc,"pointerAtBeginning",!1);Yb.Factory.addGetterSetter(Jc,"pointerAtEnding",!0);var Zb={};Object.defineProperty(Zb,"__esModule",{value:!0});Zb.Circle=void 0;const d1e=Et,f1e=jr,h1e=We,p1e=At;let mh=class extends f1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};Zb.Circle=mh;mh.prototype._centroid=!0;mh.prototype.className="Circle";mh.prototype._attrsAffectingSize=["radius"];(0,p1e._registerNode)(mh);d1e.Factory.addGetterSetter(mh,"radius",0,(0,h1e.getNumberValidator)());var Jb={};Object.defineProperty(Jb,"__esModule",{value:!0});Jb.Ellipse=void 0;const ET=Et,g1e=jr,gz=We,m1e=At;class Nu extends g1e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}Jb.Ellipse=Nu;Nu.prototype.className="Ellipse";Nu.prototype._centroid=!0;Nu.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,m1e._registerNode)(Nu);ET.Factory.addComponentsGetterSetter(Nu,"radius",["x","y"]);ET.Factory.addGetterSetter(Nu,"radiusX",0,(0,gz.getNumberValidator)());ET.Factory.addGetterSetter(Nu,"radiusY",0,(0,gz.getNumberValidator)());var eS={};Object.defineProperty(eS,"__esModule",{value:!0});eS.Image=void 0;const kw=sr,ed=Et,y1e=jr,v1e=At,jm=We;let Ca=class mz extends y1e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?kw.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?kw.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=kw.Util.createImageElement();i.onload=function(){var o=new mz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};eS.Image=Ca;Ca.prototype.className="Image";(0,v1e._registerNode)(Ca);ed.Factory.addGetterSetter(Ca,"cornerRadius",0,(0,jm.getNumberOrArrayOfNumbersValidator)(4));ed.Factory.addGetterSetter(Ca,"image");ed.Factory.addComponentsGetterSetter(Ca,"crop",["x","y","width","height"]);ed.Factory.addGetterSetter(Ca,"cropX",0,(0,jm.getNumberValidator)());ed.Factory.addGetterSetter(Ca,"cropY",0,(0,jm.getNumberValidator)());ed.Factory.addGetterSetter(Ca,"cropWidth",0,(0,jm.getNumberValidator)());ed.Factory.addGetterSetter(Ca,"cropHeight",0,(0,jm.getNumberValidator)());var Kf={};Object.defineProperty(Kf,"__esModule",{value:!0});Kf.Tag=Kf.Label=void 0;const tS=Et,_1e=jr,b1e=hh,TT=We,yz=At;var vz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],S1e="Change.konva",w1e="none",o3="up",s3="right",a3="down",l3="left",x1e=vz.length;class AT extends b1e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<x1e;r++)t.on(vz[r]+S1e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case o3:a=r/2,l=-1*u;break;case s3:a=r+s,l=i/2;break;case a3:a=r/2,l=i+u;break;case l3:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Kf.Label=AT;AT.prototype.className="Label";(0,yz._registerNode)(AT);class td extends _1e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof 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o===o3?(n-=i,a+=i):o===a3?a+=i:o===l3?(t-=r*1.5,s+=r):o===s3&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Kf.Tag=td;td.prototype.className="Tag";(0,yz._registerNode)(td);tS.Factory.addGetterSetter(td,"pointerDirection",w1e);tS.Factory.addGetterSetter(td,"pointerWidth",0,(0,TT.getNumberValidator)());tS.Factory.addGetterSetter(td,"pointerHeight",0,(0,TT.getNumberValidator)());tS.Factory.addGetterSetter(td,"cornerRadius",0,(0,TT.getNumberOrArrayOfNumbersValidator)(4));var Vm={};Object.defineProperty(Vm,"__esModule",{value:!0});Vm.Rect=void 0;const C1e=Et,E1e=jr,T1e=At,A1e=sr,k1e=We;let nS=class extends E1e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?A1e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Vm.Rect=nS;nS.prototype.className="Rect";(0,T1e._registerNode)(nS);C1e.Factory.addGetterSetter(nS,"cornerRadius",0,(0,k1e.getNumberOrArrayOfNumbersValidator)(4));var rS={};Object.defineProperty(rS,"__esModule",{value:!0});rS.RegularPolygon=void 0;const _z=Et,P1e=jr,bz=We,R1e=At;class nd extends P1e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}rS.RegularPolygon=nd;nd.prototype.className="RegularPolygon";nd.prototype._centroid=!0;nd.prototype._attrsAffectingSize=["radius"];(0,R1e._registerNode)(nd);_z.Factory.addGetterSetter(nd,"radius",0,(0,bz.getNumberValidator)());_z.Factory.addGetterSetter(nd,"sides",0,(0,bz.getNumberValidator)());var iS={};Object.defineProperty(iS,"__esModule",{value:!0});iS.Ring=void 0;const Sz=Et,I1e=jr,wz=We,O1e=At;var Z8=Math.PI*2;class rd extends I1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,Z8,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),Z8,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}iS.Ring=rd;rd.prototype.className="Ring";rd.prototype._centroid=!0;rd.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,O1e._registerNode)(rd);Sz.Factory.addGetterSetter(rd,"innerRadius",0,(0,wz.getNumberValidator)());Sz.Factory.addGetterSetter(rd,"outerRadius",0,(0,wz.getNumberValidator)());var oS={};Object.defineProperty(oS,"__esModule",{value:!0});oS.Sprite=void 0;const id=Et,M1e=jr,N1e=ph,xz=We,D1e=At;class Ea extends M1e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new N1e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(s){var f=s[n],h=r*2;t.drawImage(d,a,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,a,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],c=r*2;t.rect(u[c+0],u[c+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}oS.Sprite=Ea;Ea.prototype.className="Sprite";(0,D1e._registerNode)(Ea);id.Factory.addGetterSetter(Ea,"animation");id.Factory.addGetterSetter(Ea,"animations");id.Factory.addGetterSetter(Ea,"frameOffsets");id.Factory.addGetterSetter(Ea,"image");id.Factory.addGetterSetter(Ea,"frameIndex",0,(0,xz.getNumberValidator)());id.Factory.addGetterSetter(Ea,"frameRate",17,(0,xz.getNumberValidator)());id.Factory.backCompat(Ea,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var sS={};Object.defineProperty(sS,"__esModule",{value:!0});sS.Star=void 0;const kT=Et,L1e=jr,PT=We,$1e=At;class Du extends L1e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}sS.Star=Du;Du.prototype.className="Star";Du.prototype._centroid=!0;Du.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,$1e._registerNode)(Du);kT.Factory.addGetterSetter(Du,"numPoints",5,(0,PT.getNumberValidator)());kT.Factory.addGetterSetter(Du,"innerRadius",0,(0,PT.getNumberValidator)());kT.Factory.addGetterSetter(Du,"outerRadius",0,(0,PT.getNumberValidator)());var Fc={};Object.defineProperty(Fc,"__esModule",{value:!0});Fc.Text=Fc.stringToArray=void 0;const u3=sr,Ji=Et,F1e=jr,Lu=We,B1e=At;function Cz(e){return Array.from(e)}Fc.stringToArray=Cz;var Ed="auto",z1e="center",Vh="justify",U1e="Change.konva",j1e="2d",J8="-",Ez="left",V1e="text",G1e="Text",H1e="top",q1e="bottom",eR="middle",Tz="normal",W1e="px 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n=0;n<Y1e;n++)this.on(Az[n]+U1e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,b,_=0,_=s/2,y=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",eR),t.setAttr("textAlign",Ez),a===eR?l=(this.getHeight()-r*s-i*2)/2:a===q1e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),b=0;b<r;b++){var y=0,g=0,v=n[b],S=v.text,w=v.width,x=v.lastInParagraph,C,A,T;if(t.save(),u===K1e?y+=c-w-i*2:u===z1e&&(y+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(y,_+g+Math.round(o/2)),C=S.split(" ").length-1,A=C===0,T=u===Vh&&!x?c-i*2:w,t.lineTo(y+Math.round(T),_+g+Math.round(o/2)),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(y,_+g),C=S.split(" ").length-1,A=C===0,T=u===Vh&&x&&!A?c-i*2:w,t.lineTo(y+Math.round(T),_+g),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(d!==0||u===Vh){C=S.split(" ").length-1;for(var k=Cz(S),L=0;L<k.length;L++){var N=k[L];N===" "&&!x&&u===Vh&&(y+=(c-i*2-w)/C),this._partialTextX=y,this._partialTextY=_+g,this._partialText=N,t.fillStrokeShape(this),y+=this.measureSize(N).width+d}}else this._partialTextX=y,this._partialTextY=_+g,this._partialText=S,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=u3.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(V1e,n),this}getWidth(){var t=this.attrs.width===Ed||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===Ed||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return u3.Util.warn("text.getTextHeight() method is deprecated. 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+`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==Ed&&o!==void 0,l=s!==Ed&&s!==void 0,u=this.padding(),c=o-u*2,d=s-u*2,f=0,h=this.wrap(),p=h!==tR,m=h!==Q1e&&p,b=this.ellipsis();this.textArr=[],Rw().font=this._getContextFont();for(var _=b?this._getTextWidth(Pw):0,y=0,g=t.length;y<g;++y){var v=t[y],S=this._getTextWidth(v);if(a&&S>c)for(;v.length>0;){for(var w=0,x=v.length,C="",A=0;w<x;){var T=w+x>>>1,k=v.slice(0,T+1),L=this._getTextWidth(k)+_;L<=c?(w=T+1,C=k,A=L):x=T}if(C){if(m){var N,E=v[C.length],P=E===Yy||E===J8;P&&A<=c?N=C.length:N=Math.max(C.lastIndexOf(Yy),C.lastIndexOf(J8))+1,N>0&&(w=N,C=C.slice(0,w),A=this._getTextWidth(C))}C=C.trimRight(),this._addTextLine(C),r=Math.max(r,A),f+=i;var D=this._shouldHandleEllipsis(f);if(D){this._tryToAddEllipsisToLastLine();break}if(v=v.slice(w),v=v.trimLeft(),v.length>0&&(S=this._getTextWidth(v),S<=c)){this._addTextLine(v),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(v),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&y<g-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&f+i>d)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==Ed&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==tR;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==Ed&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+Pw)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+Pw)}}getStrokeScaleEnabled(){return!0}};Fc.Text=br;br.prototype._fillFunc=J1e;br.prototype._strokeFunc=e_e;br.prototype.className=G1e;br.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,B1e._registerNode)(br);Ji.Factory.overWriteSetter(br,"width",(0,Lu.getNumberOrAutoValidator)());Ji.Factory.overWriteSetter(br,"height",(0,Lu.getNumberOrAutoValidator)());Ji.Factory.addGetterSetter(br,"fontFamily","Arial");Ji.Factory.addGetterSetter(br,"fontSize",12,(0,Lu.getNumberValidator)());Ji.Factory.addGetterSetter(br,"fontStyle",Tz);Ji.Factory.addGetterSetter(br,"fontVariant",Tz);Ji.Factory.addGetterSetter(br,"padding",0,(0,Lu.getNumberValidator)());Ji.Factory.addGetterSetter(br,"align",Ez);Ji.Factory.addGetterSetter(br,"verticalAlign",H1e);Ji.Factory.addGetterSetter(br,"lineHeight",1,(0,Lu.getNumberValidator)());Ji.Factory.addGetterSetter(br,"wrap",X1e);Ji.Factory.addGetterSetter(br,"ellipsis",!1,(0,Lu.getBooleanValidator)());Ji.Factory.addGetterSetter(br,"letterSpacing",0,(0,Lu.getNumberValidator)());Ji.Factory.addGetterSetter(br,"text","",(0,Lu.getStringValidator)());Ji.Factory.addGetterSetter(br,"textDecoration","");var aS={};Object.defineProperty(aS,"__esModule",{value:!0});aS.TextPath=void 0;const Iw=sr,js=Et,n_e=jr,Gh=gh,Ow=Fc,kz=We,r_e=At;var i_e="",Pz="normal";function Rz(e){e.fillText(this.partialText,0,0)}function Iz(e){e.strokeText(this.partialText,0,0)}class Vr extends n_e.Shape{constructor(t){super(t),this.dummyCanvas=Iw.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Gh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Gh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Gh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return Iw.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return Ow.Text.prototype.setText.call(this,t)}_getContextFont(){return Ow.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,Ow.stringToArray)(this.text());let u=a;for(var c=0;c<l.length;c++){const d=this._getPointAtLength(u);if(!d)return;let f=this._getTextSize(l[c]).width+r;if(l[c]===" "&&i==="justify"){const y=this.text().split(" ").length-1;f+=(this.pathLength-s)/y}const h=this._getPointAtLength(u+f);if(!h)return;const p=Gh.Path.getLineLength(d.x,d.y,h.x,h.y);let m=0;if(o)try{m=o(l[c-1],l[c])*this.fontSize()}catch{m=0}d.x+=m,h.x+=m,this.textWidth+=m;const b=Gh.Path.getPointOnLine(m+p/2,d.x,d.y,h.x,h.y),_=Math.atan2(h.y-d.y,h.x-d.x);this.glyphInfo.push({transposeX:b.x,transposeY:b.y,text:l[c],rotation:_,p0:d,p1:h}),u+=f}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(c){t.push(c.p0.x),t.push(c.p0.y),t.push(c.p1.x),t.push(c.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return Iw.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}aS.TextPath=Vr;Vr.prototype._fillFunc=Rz;Vr.prototype._strokeFunc=Iz;Vr.prototype._fillFuncHit=Rz;Vr.prototype._strokeFuncHit=Iz;Vr.prototype.className="TextPath";Vr.prototype._attrsAffectingSize=["text","fontSize","data"];(0,r_e._registerNode)(Vr);js.Factory.addGetterSetter(Vr,"data");js.Factory.addGetterSetter(Vr,"fontFamily","Arial");js.Factory.addGetterSetter(Vr,"fontSize",12,(0,kz.getNumberValidator)());js.Factory.addGetterSetter(Vr,"fontStyle",Pz);js.Factory.addGetterSetter(Vr,"align","left");js.Factory.addGetterSetter(Vr,"letterSpacing",0,(0,kz.getNumberValidator)());js.Factory.addGetterSetter(Vr,"textBaseline","middle");js.Factory.addGetterSetter(Vr,"fontVariant",Pz);js.Factory.addGetterSetter(Vr,"text",i_e);js.Factory.addGetterSetter(Vr,"textDecoration",null);js.Factory.addGetterSetter(Vr,"kerningFunc",null);var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.Transformer=void 0;const gn=sr,cn=Et,nR=Qn,o_e=jr,s_e=Vm,rR=hh,vs=At,$u=We,a_e=At;var Oz="tr-konva",l_e=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${Oz}`).join(" "),iR="nodesRect",u_e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],c_e={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const d_e="ontouchstart"in vs.Konva._global;function f_e(e,t){if(e==="rotater")return"crosshair";t+=gn.Util.degToRad(c_e[e]||0);var n=(gn.Util.radToDeg(t)%360+360)%360;return gn.Util._inRange(n,315+22.5,360)||gn.Util._inRange(n,0,22.5)?"ns-resize":gn.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":gn.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":gn.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":gn.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":gn.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":gn.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":gn.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(gn.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var A1=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],oR=1e8;function h_e(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function Mz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function p_e(e,t){const n=h_e(e);return Mz(e,t,n)}function g_e(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=vs.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Ht extends rR.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(l_e,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return gn.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return Oz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(gn.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(u_e.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(iR),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(iR,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(vs.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return Mz(c,-vs.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-oR,y:-oR,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new gn.Transform;r.rotate(-vs.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:vs.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),A1.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new s_e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:d_e?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=vs.Konva.getAngle(this.rotation()),o=f_e(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new o_e.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*gn.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let N=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(N-=Math.PI);var f=vs.Konva.getAngle(this.rotation());const E=f+N,P=vs.Konva.getAngle(this.rotationSnapTolerance()),B=g_e(this.rotationSnaps(),E,P)-d.rotation,R=p_e(d,B);this._fitNodesInto(R,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var b=this.findOne(".top-right").x()<m.x?-1:1,_=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var y=o.position();this.findOne(".top-left").y(y.y),this.findOne(".bottom-right").x(y.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var b=m.x<o.x()?-1:1,_=o.y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,o.x(m.x-n),o.y(m.y+r)}y=o.position(),this.findOne(".top-left").x(y.x),this.findOne(".bottom-right").y(y.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var b=this.findOne(".bottom-right").x()<m.x?-1:1,_=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var v=this.findOne(".top-left"),S=this.findOne(".bottom-right"),w=v.x(),x=v.y(),C=this.getWidth()-S.x(),A=this.getHeight()-S.y();S.move({x:-w,y:-x}),v.move({x:C,y:A})}var T=this.findOne(".top-left").getAbsolutePosition();n=T.x,r=T.y;var k=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),L=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:k,height:L,rotation:vs.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(gn.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(gn.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new gn.Transform;if(s.rotate(vs.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:gn.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new gn.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new gn.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new gn.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(gn.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(gn.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*gn.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),rR.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return nR.Node.prototype.toObject.call(this)}clone(t){var n=nR.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}lS.Transformer=Ht;function m_e(e){return e instanceof Array||gn.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){A1.indexOf(t)===-1&&gn.Util.warn("Unknown anchor name: "+t+". Available names are: "+A1.join(", "))}),e||[]}Ht.prototype.className="Transformer";(0,a_e._registerNode)(Ht);cn.Factory.addGetterSetter(Ht,"enabledAnchors",A1,m_e);cn.Factory.addGetterSetter(Ht,"flipEnabled",!0,(0,$u.getBooleanValidator)());cn.Factory.addGetterSetter(Ht,"resizeEnabled",!0);cn.Factory.addGetterSetter(Ht,"anchorSize",10,(0,$u.getNumberValidator)());cn.Factory.addGetterSetter(Ht,"rotateEnabled",!0);cn.Factory.addGetterSetter(Ht,"rotationSnaps",[]);cn.Factory.addGetterSetter(Ht,"rotateAnchorOffset",50,(0,$u.getNumberValidator)());cn.Factory.addGetterSetter(Ht,"rotationSnapTolerance",5,(0,$u.getNumberValidator)());cn.Factory.addGetterSetter(Ht,"borderEnabled",!0);cn.Factory.addGetterSetter(Ht,"anchorStroke","rgb(0, 161, 255)");cn.Factory.addGetterSetter(Ht,"anchorStrokeWidth",1,(0,$u.getNumberValidator)());cn.Factory.addGetterSetter(Ht,"anchorFill","white");cn.Factory.addGetterSetter(Ht,"anchorCornerRadius",0,(0,$u.getNumberValidator)());cn.Factory.addGetterSetter(Ht,"borderStroke","rgb(0, 161, 255)");cn.Factory.addGetterSetter(Ht,"borderStrokeWidth",1,(0,$u.getNumberValidator)());cn.Factory.addGetterSetter(Ht,"borderDash");cn.Factory.addGetterSetter(Ht,"keepRatio",!0);cn.Factory.addGetterSetter(Ht,"shiftBehavior","default");cn.Factory.addGetterSetter(Ht,"centeredScaling",!1);cn.Factory.addGetterSetter(Ht,"ignoreStroke",!1);cn.Factory.addGetterSetter(Ht,"padding",0,(0,$u.getNumberValidator)());cn.Factory.addGetterSetter(Ht,"node");cn.Factory.addGetterSetter(Ht,"nodes");cn.Factory.addGetterSetter(Ht,"boundBoxFunc");cn.Factory.addGetterSetter(Ht,"anchorDragBoundFunc");cn.Factory.addGetterSetter(Ht,"anchorStyleFunc");cn.Factory.addGetterSetter(Ht,"shouldOverdrawWholeArea",!1);cn.Factory.addGetterSetter(Ht,"useSingleNodeRotation",!0);cn.Factory.backCompat(Ht,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.Wedge=void 0;const cS=Et,y_e=jr,v_e=At,Nz=We,__e=At;class vl extends y_e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,v_e.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}uS.Wedge=vl;vl.prototype.className="Wedge";vl.prototype._centroid=!0;vl.prototype._attrsAffectingSize=["radius"];(0,__e._registerNode)(vl);cS.Factory.addGetterSetter(vl,"radius",0,(0,Nz.getNumberValidator)());cS.Factory.addGetterSetter(vl,"angle",0,(0,Nz.getNumberValidator)());cS.Factory.addGetterSetter(vl,"clockwise",!1);cS.Factory.backCompat(vl,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var dS={};Object.defineProperty(dS,"__esModule",{value:!0});dS.Blur=void 0;const sR=Et,b_e=Qn,S_e=We;function aR(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var w_e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],x_e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function C_e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,y,g,v,S,w,x,C,A,T,k,L,N=t+t+1,E=r-1,P=i-1,D=t+1,B=D*(D+1)/2,R=new aR,I=null,O=R,F=null,U=null,V=w_e[t],H=x_e[t];for(a=1;a<N;a++)O=O.next=new aR,a===D&&(I=O);for(O.next=R,d=c=0,s=0;s<i;s++){for(v=S=w=x=f=h=p=m=0,b=D*(C=n[c]),_=D*(A=n[c+1]),y=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*C,h+=B*A,p+=B*T,m+=B*k,O=R,a=0;a<D;a++)O.r=C,O.g=A,O.b=T,O.a=k,O=O.next;for(a=1;a<D;a++)l=c+((E<a?E:a)<<2),f+=(O.r=C=n[l])*(L=D-a),h+=(O.g=A=n[l+1])*L,p+=(O.b=T=n[l+2])*L,m+=(O.a=k=n[l+3])*L,v+=C,S+=A,w+=T,x+=k,O=O.next;for(F=R,U=I,o=0;o<r;o++)n[c+3]=k=m*V>>H,k!==0?(k=255/k,n[c]=(f*V>>H)*k,n[c+1]=(h*V>>H)*k,n[c+2]=(p*V>>H)*k):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=d+((l=o+t+1)<E?l:E)<<2,v+=F.r=n[l],S+=F.g=n[l+1],w+=F.b=n[l+2],x+=F.a=n[l+3],f+=v,h+=S,p+=w,m+=x,F=F.next,b+=C=U.r,_+=A=U.g,y+=T=U.b,g+=k=U.a,v-=C,S-=A,w-=T,x-=k,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(S=w=x=v=h=p=m=f=0,c=o<<2,b=D*(C=n[c]),_=D*(A=n[c+1]),y=D*(T=n[c+2]),g=D*(k=n[c+3]),f+=B*C,h+=B*A,p+=B*T,m+=B*k,O=R,a=0;a<D;a++)O.r=C,O.g=A,O.b=T,O.a=k,O=O.next;for(u=r,a=1;a<=t;a++)c=u+o<<2,f+=(O.r=C=n[c])*(L=D-a),h+=(O.g=A=n[c+1])*L,p+=(O.b=T=n[c+2])*L,m+=(O.a=k=n[c+3])*L,v+=C,S+=A,w+=T,x+=k,O=O.next,a<P&&(u+=r);for(c=o,F=R,U=I,s=0;s<i;s++)l=c<<2,n[l+3]=k=m*V>>H,k>0?(k=255/k,n[l]=(f*V>>H)*k,n[l+1]=(h*V>>H)*k,n[l+2]=(p*V>>H)*k):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=o+((l=s+D)<P?l:P)*r<<2,f+=v+=F.r=n[l],h+=S+=F.g=n[l+1],p+=w+=F.b=n[l+2],m+=x+=F.a=n[l+3],F=F.next,b+=C=U.r,_+=A=U.g,y+=T=U.b,g+=k=U.a,v-=C,S-=A,w-=T,x-=k,U=U.next,c+=r}}const E_e=function(t){var n=Math.round(this.blurRadius());n>0&&C_e(t,n)};dS.Blur=E_e;sR.Factory.addGetterSetter(b_e.Node,"blurRadius",0,(0,S_e.getNumberValidator)(),sR.Factory.afterSetFilter);var fS={};Object.defineProperty(fS,"__esModule",{value:!0});fS.Brighten=void 0;const lR=Et,T_e=Qn,A_e=We,k_e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};fS.Brighten=k_e;lR.Factory.addGetterSetter(T_e.Node,"brightness",0,(0,A_e.getNumberValidator)(),lR.Factory.afterSetFilter);var hS={};Object.defineProperty(hS,"__esModule",{value:!0});hS.Contrast=void 0;const uR=Et,P_e=Qn,R_e=We,I_e=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};hS.Contrast=I_e;uR.Factory.addGetterSetter(P_e.Node,"contrast",0,(0,R_e.getNumberValidator)(),uR.Factory.afterSetFilter);var pS={};Object.defineProperty(pS,"__esModule",{value:!0});pS.Emboss=void 0;const Su=Et,gS=Qn,O_e=sr,Dz=We,M_e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:O_e.Util.error("Unknown emboss direction: 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o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const L_e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<s?s=l:l>a&&(a=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,y,g,v,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),y=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,y=a+h*(a-_),g=s+h*(s-_),v=(c+u)*.5,S=c+h*(c-v),w=u+h*(u-v)),f=0;f<n;f+=4)t[f+0]=Mw(t[f+0],r,i,b,m),t[f+1]=Mw(t[f+1],s,a,g,y),t[f+2]=Mw(t[f+2],u,c,w,S)}};mS.Enhance=L_e;cR.Factory.addGetterSetter(N_e.Node,"enhance",0,(0,D_e.getNumberValidator)(),cR.Factory.afterSetFilter);var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Grayscale=void 0;const $_e=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};yS.Grayscale=$_e;var vS={};Object.defineProperty(vS,"__esModule",{value:!0});vS.HSL=void 0;const Xf=Et,RT=Qn,IT=We;Xf.Factory.addGetterSetter(RT.Node,"hue",0,(0,IT.getNumberValidator)(),Xf.Factory.afterSetFilter);Xf.Factory.addGetterSetter(RT.Node,"saturation",0,(0,IT.getNumberValidator)(),Xf.Factory.afterSetFilter);Xf.Factory.addGetterSetter(RT.Node,"luminance",0,(0,IT.getNumberValidator)(),Xf.Factory.afterSetFilter);const F_e=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),c=.299*r+.701*l+.167*u,d=.587*r-.587*l+.33*u,f=.114*r-.114*l-.497*u,h=.299*r-.299*l-.328*u,p=.587*r+.413*l+.035*u,m=.114*r-.114*l+.293*u,b=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,y=.114*r+.886*l-.2*u,g,v,S,w;for(a=0;a<n;a+=4)g=t[a+0],v=t[a+1],S=t[a+2],w=t[a+3],t[a+0]=c*g+d*v+f*S+s,t[a+1]=h*g+p*v+m*S+s,t[a+2]=b*g+_*v+y*S+s,t[a+3]=w};vS.HSL=F_e;var _S={};Object.defineProperty(_S,"__esModule",{value:!0});_S.HSV=void 0;const Qf=Et,OT=Qn,MT=We,B_e=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,c=.587*r-.587*a+.33*l,d=.114*r-.114*a-.497*l,f=.299*r-.299*a-.328*l,h=.587*r+.413*a+.035*l,p=.114*r-.114*a+.293*l,m=.299*r-.3*a+1.25*l,b=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,y,g,v,S;for(s=0;s<n;s+=4)y=t[s+0],g=t[s+1],v=t[s+2],S=t[s+3],t[s+0]=u*y+c*g+d*v,t[s+1]=f*y+h*g+p*v,t[s+2]=m*y+b*g+_*v,t[s+3]=S};_S.HSV=B_e;Qf.Factory.addGetterSetter(OT.Node,"hue",0,(0,MT.getNumberValidator)(),Qf.Factory.afterSetFilter);Qf.Factory.addGetterSetter(OT.Node,"saturation",0,(0,MT.getNumberValidator)(),Qf.Factory.afterSetFilter);Qf.Factory.addGetterSetter(OT.Node,"value",0,(0,MT.getNumberValidator)(),Qf.Factory.afterSetFilter);var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.Invert=void 0;const z_e=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};bS.Invert=z_e;var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.Kaleidoscope=void 0;const k1=Et,Lz=Qn,dR=sr,$z=We;var U_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f=0,h=0,p=0,m=0,b,_=Math.sqrt(a*a+l*l);c=o-a,d=s-l,b=Math.sqrt(c*c+d*d),_=b>_?b:_;var y=s,g=o,v,S,w=360/g*Math.PI/180,x,C;for(S=0;S<g;S+=1)for(x=Math.sin(S*w),C=Math.cos(S*w),v=0;v<y;v+=1)c=Math.floor(a+_*v/y*C),d=Math.floor(l+_*v/y*x),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(S+v*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},j_e=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f,h,p=0,m=0,b=0,_=0,y,g=Math.sqrt(a*a+l*l);c=o-a,d=s-l,y=Math.sqrt(c*c+d*d),g=y>g?y:g;var v=s,S=o,w,x,C=n.polarRotation||0,A,T;for(c=0;c<o;c+=1)for(d=0;d<s;d+=1)f=c-a,h=d-l,w=Math.sqrt(f*f+h*h)*v/g,x=(Math.atan2(h,f)*180/Math.PI+360+C)%360,x=x*S/360,A=Math.floor(x),T=Math.floor(w),u=(T*o+A)*4,p=r[u+0],m=r[u+1],b=r[u+2],_=r[u+3],u=(d*o+c)*4,i[u+0]=p,i[u+1]=m,i[u+2]=b,i[u+3]=_};const V_e=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,c,d,f,h=Math.round(this.kaleidoscopePower()),p=Math.round(this.kaleidoscopeAngle()),m=Math.floor(t*(p%360)/360);if(!(h<1)){var b=dR.Util.createCanvasElement();b.width=t,b.height=n;var _=b.getContext("2d").getImageData(0,0,t,n);dR.Util.releaseCanvas(b),U_e(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var y=t/Math.pow(2,h);y<=8;)y=y*2,h-=1;y=Math.ceil(y);var g=y,v=0,S=g,w=1;for(m+y>t&&(v=g,S=0,w=-1),i=0;i<n;i+=1)for(r=v;r!==S;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+r)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(y),s=0;s<h;s+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,a=_.data[d+0],l=_.data[d+1],u=_.data[d+2],c=_.data[d+3],f=(t*i+g*2-r-1)*4,_.data[f+0]=a,_.data[f+1]=l,_.data[f+2]=u,_.data[f+3]=c;g*=2}j_e(_,e,{polarRotation:0})}};SS.Kaleidoscope=V_e;k1.Factory.addGetterSetter(Lz.Node,"kaleidoscopePower",2,(0,$z.getNumberValidator)(),k1.Factory.afterSetFilter);k1.Factory.addGetterSetter(Lz.Node,"kaleidoscopeAngle",0,(0,$z.getNumberValidator)(),k1.Factory.afterSetFilter);var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Mask=void 0;const fR=Et,G_e=Qn,H_e=We;function Jy(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function Hh(e,t){return 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r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c>=255*4?255:0}return s}function Y_e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,b=r[d*i+f];c+=e[m]*b}}s[u]=c}return s}const Z_e=function(e){var t=this.threshold(),n=W_e(e,t);return n&&(n=X_e(n,e.width,e.height),n=Q_e(n,e.width,e.height),n=Y_e(n,e.width,e.height),K_e(e,n)),e};wS.Mask=Z_e;fR.Factory.addGetterSetter(G_e.Node,"threshold",0,(0,H_e.getNumberValidator)(),fR.Factory.afterSetFilter);var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Noise=void 0;const hR=Et,J_e=Qn,ebe=We,tbe=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};xS.Noise=tbe;hR.Factory.addGetterSetter(J_e.Node,"noise",.2,(0,ebe.getNumberValidator)(),hR.Factory.afterSetFilter);var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.Pixelate=void 0;const pR=Et,nbe=sr,rbe=Qn,ibe=We,obe=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,b,_,y,g,v=e.data;if(t<=0){nbe.Util.error("pixelSize value can not be <= 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t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};TS.RGB=cbe;P1.Factory.addGetterSetter(NT.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});P1.Factory.addGetterSetter(NT.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});P1.Factory.addGetterSetter(NT.Node,"blue",0,ube.RGBComponent,P1.Factory.afterSetFilter);var AS={};Object.defineProperty(AS,"__esModule",{value:!0});AS.RGBA=void 0;const Vg=Et,kS=Qn,dbe=We,fbe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};AS.RGBA=fbe;Vg.Factory.addGetterSetter(kS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Vg.Factory.addGetterSetter(kS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Vg.Factory.addGetterSetter(kS.Node,"blue",0,dbe.RGBComponent,Vg.Factory.afterSetFilter);Vg.Factory.addGetterSetter(kS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Sepia=void 0;const hbe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};PS.Sepia=hbe;var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Solarize=void 0;const pbe=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};RS.Solarize=pbe;var IS={};Object.defineProperty(IS,"__esModule",{value:!0});IS.Threshold=void 0;const mR=Et,gbe=Qn,mbe=We,ybe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};IS.Threshold=ybe;mR.Factory.addGetterSetter(gbe.Node,"threshold",.5,(0,mbe.getNumberValidator)(),mR.Factory.afterSetFilter);Object.defineProperty(zb,"__esModule",{value:!0});zb.Konva=void 0;const yR=rz,vbe=qb,_be=Xb,bbe=Zb,Sbe=Jb,wbe=eS,vR=Kf,xbe=Um,Cbe=gh,Ebe=Vm,Tbe=rS,Abe=iS,kbe=oS,Pbe=sS,Rbe=Fc,Ibe=aS,Obe=lS,Mbe=uS,Nbe=dS,Dbe=fS,Lbe=hS,$be=pS,Fbe=mS,Bbe=yS,zbe=vS,Ube=_S,jbe=bS,Vbe=SS,Gbe=wS,Hbe=xS,qbe=CS,Wbe=ES,Kbe=TS,Xbe=AS,Qbe=PS,Ybe=RS,Zbe=IS;zb.Konva=yR.Konva.Util._assign(yR.Konva,{Arc:vbe.Arc,Arrow:_be.Arrow,Circle:bbe.Circle,Ellipse:Sbe.Ellipse,Image:wbe.Image,Label:vR.Label,Tag:vR.Tag,Line:xbe.Line,Path:Cbe.Path,Rect:Ebe.Rect,RegularPolygon:Tbe.RegularPolygon,Ring:Abe.Ring,Sprite:kbe.Sprite,Star:Pbe.Star,Text:Rbe.Text,TextPath:Ibe.TextPath,Transformer:Obe.Transformer,Wedge:Mbe.Wedge,Filters:{Blur:Nbe.Blur,Brighten:Dbe.Brighten,Contrast:Lbe.Contrast,Emboss:$be.Emboss,Enhance:Fbe.Enhance,Grayscale:Bbe.Grayscale,HSL:zbe.HSL,HSV:Ube.HSV,Invert:jbe.Invert,Kaleidoscope:Vbe.Kaleidoscope,Mask:Gbe.Mask,Noise:Hbe.Noise,Pixelate:qbe.Pixelate,Posterize:Wbe.Posterize,RGB:Kbe.RGB,RGBA:Xbe.RGBA,Sepia:Qbe.Sepia,Solarize:Ybe.Solarize,Threshold:Zbe.Threshold}});var Jbe=bT.exports;Object.defineProperty(Jbe,"__esModule",{value:!0});const eSe=zb;bT.exports=eSe.Konva;var tSe=bT.exports;const qh=Uc(tSe),nSe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new qh.Stage({container:o,width:r,height:i}),a=new qh.Layer,l=new qh.Layer;return a.add(new qh.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new qh.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},rSe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),_R=async(e,t)=>{const n=e.toDataURL(t);return await rSe(n,t.width,t.height)},DT=async(e,t,n,r,i)=>{const o=ge("canvas"),s=Fb(),a=Y0e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const c=u.getAbsolutePosition(),d={x:l.x+c.x,y:l.y+c.y,width:l.width,height:l.height},f=await E1(u,d),h=await _R(u,d),p=await nSe(r?e.objects.filter(_D):[],l,i),m=await E1(p,l),b=await _R(p,l);return{baseBlob:f,baseImageData:h,maskBlob:m,maskImageData:b}},iSe=()=>{Te({actionCreator:G0e,effect:async(e,{dispatch:t,getState:n})=>{const r=ge("canvas"),i=n(),o=await DT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Tn({title:J("toast.problemSavingMask"),description:J("toast.problemSavingMaskDesc"),status:"error"}));return}const{autoAddBoardId:a}=i.gallery;t(pe.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:J("toast.maskSavedAssets")}}}))}})},oSe=()=>{Te({actionCreator:X0e,effect:async(e,{dispatch:t,getState:n})=>{const r=ge("canvas"),i=n(),o=await DT(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:s}=o;if(!s){r.error("Problem getting mask layer blob"),t(Tn({title:J("toast.problemImportingMask"),description:J("toast.problemImportingMaskDesc"),status:"error"}));return}const{autoAddBoardId:a}=i.gallery,l=await t(pe.endpoints.uploadImage.initiate({file:new File([s],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!1,board_id:a==="none"?void 0:a,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:J("toast.maskSentControlnetAssets")}}})).unwrap(),{image_name:u}=l;t(Qc({controlNetId:e.payload.controlNet.controlNetId,controlImage:u}))}})},sSe=async()=>{const e=Fb();if(!e)return;const t=e.clone();return t.scale({x:1,y:1}),E1(t,t.getClientRect())},aSe=()=>{Te({actionCreator:W0e,effect:async(e,{dispatch:t})=>{const n=sb.get().child({namespace:"canvasCopiedToClipboardListener"}),r=await sSe();if(!r){n.error("Problem getting base layer blob"),t(Tn({title:J("toast.problemMergingCanvas"),description:J("toast.problemMergingCanvasDesc"),status:"error"}));return}const i=Fb();if(!i){n.error("Problem getting canvas base layer"),t(Tn({title:J("toast.problemMergingCanvas"),description:J("toast.problemMergingCanvasDesc"),status:"error"}));return}const o=i.getClientRect({relativeTo:i.getParent()}),s=await t(pe.endpoints.uploadImage.initiate({file:new File([r],"mergedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!0,postUploadAction:{type:"TOAST",toastOptions:{title:J("toast.canvasMerged")}}})).unwrap(),{image_name:a}=s;t(Jne({kind:"image",layer:"base",imageName:a,...o}))}})},lSe=()=>{Te({actionCreator:V0e,effect:async(e,{dispatch:t,getState:n})=>{const r=ge("canvas"),i=n(),o=await Bb(i);if(!o){r.error("Problem getting base layer blob"),t(Tn({title:J("toast.problemSavingCanvas"),description:J("toast.problemSavingCanvasDesc"),status:"error"}));return}const{autoAddBoardId:s}=i.gallery;t(pe.endpoints.uploadImage.initiate({file:new File([o],"savedCanvas.png",{type:"image/png"}),image_category:"general",is_intermediate:!1,board_id:s==="none"?void 0:s,crop_visible:!0,postUploadAction:{type:"TOAST",toastOptions:{title:J("toast.canvasSavedGallery")}}}))}})},uSe=(e,t,n)=>{var d;if(!(Ode.match(e)||D6.match(e)||Qc.match(e)||Mde.match(e)||L6.match(e))||L6.match(e)&&((d=n.controlNet.controlNets[e.payload.controlNetId])==null?void 0:d.shouldAutoConfig)===!0)return!1;const i=t.controlNet.controlNets[e.payload.controlNetId];if(!i)return!1;const{controlImage:o,processorType:s,shouldAutoConfig:a}=i;if(D6.match(e)&&!a)return!1;const l=s!=="none",u=t.system.isProcessing;return l&&!u&&!!o},cSe=()=>{Te({predicate:uSe,effect:async(e,{dispatch:t,cancelActiveListeners:n,delay:r})=>{const i=ge("session"),{controlNetId:o}=e.payload;n(),i.trace("ControlNet auto-process triggered"),await r(300),t(Q5({controlNetId:o}))}})},od=Le("system/sessionReadyToInvoke"),Fz=e=>(e==null?void 0:e.type)==="image_output",dSe=()=>{Te({actionCreator:Q5,effect:async(e,{dispatch:t,getState:n,take:r})=>{const i=ge("session"),{controlNetId:o}=e.payload,s=n().controlNet.controlNets[o];if(!(s!=null&&s.controlImage)){i.error("Unable to process ControlNet image");return}const a={nodes:{[s.processorNode.id]:{...s.processorNode,is_intermediate:!0,image:{image_name:s.controlImage}}}},l=t(xi({graph:a})),[u]=await r(f=>xi.fulfilled.match(f)&&f.meta.requestId===l.requestId),c=u.payload.id;t(od());const[d]=await r(f=>W5.match(f)&&f.payload.data.graph_execution_state_id===c);if(Fz(d.payload.data.result)){const{image_name:f}=d.payload.data.result.image,[{payload:h}]=await r(m=>pe.endpoints.getImageDTO.matchFulfilled(m)&&m.payload.image_name===f),p=h;i.debug({controlNetId:e.payload,processedControlImage:p},"ControlNet image processed"),t(Y5({controlNetId:o,processedControlImage:p.image_name}))}}})},fSe=()=>{Te({matcher:pe.endpoints.addImageToBoard.matchFulfilled,effect:e=>{const t=ge("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Image added to board")}})},hSe=()=>{Te({matcher:pe.endpoints.addImageToBoard.matchRejected,effect:e=>{const t=ge("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Problem adding image to board")}})},LT=Le("deleteImageModal/imageDeletionConfirmed"),aMe=Fi(e=>e,e=>e.gallery.selection[e.gallery.selection.length-1],_T),Bz=Fi([e=>e],e=>{const{selectedBoardId:t,galleryView:n}=e.gallery;return{board_id:t,categories:n==="images"?Qr:Gl,offset:0,limit:are,is_intermediate:!1}},_T),pSe=()=>{Te({actionCreator:LT,effect:async(e,{dispatch:t,getState:n,condition:r})=>{var f;const{imageDTOs:i,imagesUsage:o}=e.payload;if(i.length!==1||o.length!==1)return;const s=i[0],a=o[0];if(!s||!a)return;t(Z5(!1));const l=n(),u=(f=l.gallery.selection[l.gallery.selection.length-1])==null?void 0:f.image_name;if(s&&(s==null?void 0:s.image_name)===u){const{image_name:h}=s,p=Bz(l),{data:m}=pe.endpoints.listImages.select(p)(l),b=m?Ln.getSelectors().selectAll(m):[],_=b.findIndex(S=>S.image_name===h),y=b.filter(S=>S.image_name!==h),g=jl(_,0,y.length-1),v=y[g];t(ha(v||null))}a.isCanvasImage&&t(S5()),i.forEach(h=>{var p,m;((p=n().generation.initialImage)==null?void 0:p.imageName)===h.image_name&&t(b5()),rs(n().controlNet.controlNets,b=>{(b.controlImage===h.image_name||b.processedControlImage===h.image_name)&&(t(Qc({controlNetId:b.controlNetId,controlImage:null})),t(Y5({controlNetId:b.controlNetId,processedControlImage:null})))}),((m=n().controlNet.ipAdapterInfo.adapterImage)==null?void 0:m.image_name)===h.image_name&&t(Pb(null)),n().nodes.nodes.forEach(b=>{Kr(b)&&rs(b.data.inputs,_=>{var y;_.type==="ImageField"&&((y=_.value)==null?void 0:y.image_name)===h.image_name&&t(Lb({nodeId:b.data.id,fieldName:_.name,value:void 0}))})})});const{requestId:c}=t(pe.endpoints.deleteImage.initiate(s));await r(h=>pe.endpoints.deleteImage.matchFulfilled(h)&&h.meta.requestId===c,3e4)&&t(_u.util.invalidateTags([{type:"Board",id:s.board_id}]))}})},gSe=()=>{Te({actionCreator:LT,effect:async(e,{dispatch:t,getState:n})=>{const{imageDTOs:r,imagesUsage:i}=e.payload;if(!(r.length<=1||i.length<=1))try{await t(pe.endpoints.deleteImages.initiate({imageDTOs:r})).unwrap();const o=n(),s=Bz(o),{data:a}=pe.endpoints.listImages.select(s)(o),l=a?Ln.getSelectors().selectAll(a)[0]:void 0;t(ha(l||null)),t(Z5(!1)),i.some(u=>u.isCanvasImage)&&t(S5()),r.forEach(u=>{var c,d;((c=n().generation.initialImage)==null?void 0:c.imageName)===u.image_name&&t(b5()),rs(n().controlNet.controlNets,f=>{(f.controlImage===u.image_name||f.processedControlImage===u.image_name)&&(t(Qc({controlNetId:f.controlNetId,controlImage:null})),t(Y5({controlNetId:f.controlNetId,processedControlImage:null})))}),((d=n().controlNet.ipAdapterInfo.adapterImage)==null?void 0:d.image_name)===u.image_name&&t(Pb(null)),n().nodes.nodes.forEach(f=>{Kr(f)&&rs(f.data.inputs,h=>{var p;h.type==="ImageField"&&((p=h.value)==null?void 0:p.image_name)===u.image_name&&t(Lb({nodeId:f.data.id,fieldName:h.name,value:void 0}))})})})}catch{}}})},mSe=()=>{Te({matcher:pe.endpoints.deleteImage.matchPending,effect:()=>{}})},ySe=()=>{Te({matcher:pe.endpoints.deleteImage.matchFulfilled,effect:e=>{ge("images").debug({imageDTO:e.meta.arg.originalArgs},"Image deleted")}})},vSe=()=>{Te({matcher:pe.endpoints.deleteImage.matchRejected,effect:e=>{ge("images").debug({imageDTO:e.meta.arg.originalArgs},"Unable to delete image")}})},zz=Le("dnd/dndDropped"),_Se=()=>{Te({actionCreator:zz,effect:async(e,{dispatch:t})=>{const n=ge("dnd"),{activeData:r,overData:i}=e.payload;if(r.payloadType==="IMAGE_DTO"?n.debug({activeData:r,overData:i},"Image dropped"):r.payloadType==="IMAGE_DTOS"?n.debug({activeData:r,overData:i},`Images (${r.payload.imageDTOs.length}) dropped`):r.payloadType==="NODE_FIELD"?n.debug({activeData:mn(r),overData:mn(i)},"Node field dropped"):n.debug({activeData:r,overData:i},"Unknown payload dropped"),i.actionType==="ADD_FIELD_TO_LINEAR"&&r.payloadType==="NODE_FIELD"){const{nodeId:o,field:s}=r.payload;t(Pye({nodeId:o,fieldName:s.name}))}if(i.actionType==="SET_CURRENT_IMAGE"&&r.payloadType==="IMAGE_DTO"&&r.payload.imageDTO){t(ha(r.payload.imageDTO));return}if(i.actionType==="SET_INITIAL_IMAGE"&&r.payloadType==="IMAGE_DTO"&&r.payload.imageDTO){t(D_(r.payload.imageDTO));return}if(i.actionType==="SET_CONTROLNET_IMAGE"&&r.payloadType==="IMAGE_DTO"&&r.payload.imageDTO){const{controlNetId:o}=i.context;t(Qc({controlImage:r.payload.imageDTO.image_name,controlNetId:o}));return}if(i.actionType==="SET_IP_ADAPTER_IMAGE"&&r.payloadType==="IMAGE_DTO"&&r.payload.imageDTO){t(Pb(r.payload.imageDTO));return}if(i.actionType==="SET_CANVAS_INITIAL_IMAGE"&&r.payloadType==="IMAGE_DTO"&&r.payload.imageDTO){t(wD(r.payload.imageDTO));return}if(i.actionType==="SET_NODES_IMAGE"&&r.payloadType==="IMAGE_DTO"&&r.payload.imageDTO){const{fieldName:o,nodeId:s}=i.context;t(Lb({nodeId:s,fieldName:o,value:r.payload.imageDTO}));return}if(i.actionType==="ADD_TO_BOARD"&&r.payloadType==="IMAGE_DTO"&&r.payload.imageDTO){const{imageDTO:o}=r.payload,{boardId:s}=i.context;t(pe.endpoints.addImageToBoard.initiate({imageDTO:o,board_id:s}));return}if(i.actionType==="REMOVE_FROM_BOARD"&&r.payloadType==="IMAGE_DTO"&&r.payload.imageDTO){const{imageDTO:o}=r.payload;t(pe.endpoints.removeImageFromBoard.initiate({imageDTO:o}));return}if(i.actionType==="ADD_TO_BOARD"&&r.payloadType==="IMAGE_DTOS"&&r.payload.imageDTOs){const{imageDTOs:o}=r.payload,{boardId:s}=i.context;t(pe.endpoints.addImagesToBoard.initiate({imageDTOs:o,board_id:s}));return}if(i.actionType==="REMOVE_FROM_BOARD"&&r.payloadType==="IMAGE_DTOS"&&r.payload.imageDTOs){const{imageDTOs:o}=r.payload;t(pe.endpoints.removeImagesFromBoard.initiate({imageDTOs:o}));return}}})},bSe=()=>{Te({matcher:pe.endpoints.removeImageFromBoard.matchFulfilled,effect:e=>{const t=ge("images"),n=e.meta.arg.originalArgs;t.debug({imageDTO:n},"Image removed from board")}})},SSe=()=>{Te({matcher:pe.endpoints.removeImageFromBoard.matchRejected,effect:e=>{const t=ge("images"),n=e.meta.arg.originalArgs;t.debug({imageDTO:n},"Problem removing image from board")}})},wSe=()=>{Te({actionCreator:$de,effect:async(e,{dispatch:t,getState:n})=>{const r=e.payload,i=n(),{shouldConfirmOnDelete:o}=i.system,s=z0e(n()),a=s.some(l=>l.isCanvasImage)||s.some(l=>l.isInitialImage)||s.some(l=>l.isControlNetImage)||s.some(l=>l.isIPAdapterImage)||s.some(l=>l.isNodesImage);if(o||a){t(Z5(!0));return}t(LT({imageDTOs:r,imagesUsage:s}))}})},qu={title:J("toast.imageUploaded"),status:"success"},xSe=()=>{Te({matcher:pe.endpoints.uploadImage.matchFulfilled,effect:(e,{dispatch:t,getState:n})=>{const r=ge("images"),i=e.payload,o=n(),{autoAddBoardId:s}=o.gallery;r.debug({imageDTO:i},"Image uploaded");const{postUploadAction:a}=e.meta.arg.originalArgs;if(!(e.payload.is_intermediate&&!a)){if((a==null?void 0:a.type)==="TOAST"){const{toastOptions:l}=a;if(!s||s==="none")t(Tn({...qu,...l}));else{t(pe.endpoints.addImageToBoard.initiate({board_id:s,imageDTO:i}));const{data:u}=pi.endpoints.listAllBoards.select()(o),c=u==null?void 0:u.find(f=>f.board_id===s),d=c?`${J("toast.addedToBoard")} ${c.board_name}`:`${J("toast.addedToBoard")} ${s}`;t(Tn({...qu,description:d}))}return}if((a==null?void 0:a.type)==="SET_CANVAS_INITIAL_IMAGE"){t(wD(i)),t(Tn({...qu,description:J("toast.setCanvasInitialImage")}));return}if((a==null?void 0:a.type)==="SET_CONTROLNET_IMAGE"){const{controlNetId:l}=a;t(Qc({controlNetId:l,controlImage:i.image_name})),t(Tn({...qu,description:J("toast.setControlImage")}));return}if((a==null?void 0:a.type)==="SET_IP_ADAPTER_IMAGE"){t(Pb(i)),t(Tn({...qu,description:J("toast.setIPAdapterImage")}));return}if((a==null?void 0:a.type)==="SET_INITIAL_IMAGE"){t(D_(i)),t(Tn({...qu,description:J("toast.setInitialImage")}));return}if((a==null?void 0:a.type)==="SET_NODES_IMAGE"){const{nodeId:l,fieldName:u}=a;t(Lb({nodeId:l,fieldName:u,value:i})),t(Tn({...qu,description:`${J("toast.setNodeField")} ${u}`}));return}}}})},CSe=()=>{Te({matcher:pe.endpoints.uploadImage.matchRejected,effect:(e,{dispatch:t})=>{const n=ge("images"),r={arg:{...I_(e.meta.arg.originalArgs,["file","postUploadAction"]),file:"<Blob>"}};n.error({...r},"Image upload 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o=Oe;(t.id===FT||t.id===R1||t.id===DS||t.id===Hg||t.id===Bc||t.id===zc)&&(o=Ce),t.edges=t.edges.filter(s=>!(s.source.node_id===n&&["unet"].includes(s.source.field))&&!(s.source.node_id===n&&["vae"].includes(s.source.field))),t.edges.push({source:{node_id:n,field:"unet"},destination:{node_id:Br,field:"unet"}},{source:{node_id:n,field:"vae"},destination:{node_id:Br,field:"vae"}},{source:{node_id:Br,field:"unet"},destination:{node_id:o,field:"unet"}}),(t.id==MS||t.id===NS||t.id===Bc||t.id===zc)&&t.edges.push({source:{node_id:Br,field:"unet"},destination:{node_id:_t,field:"unet"}})},fs=(e,t,n=Fu)=>{const{vae:r,canvasCoherenceMode:i}=e.generation,{boundingBoxScaleMethod:o}=e.canvas,{shouldUseSDXLRefiner:s}=e.sdxl,a=["auto","manual"].includes(o),l=!r,u=t.nodes[Pt];l||(t.nodes[qs]={type:"vae_loader",id:qs,is_intermediate:!0,vae_model:r});const c=n==OS;(t.id===Gz||t.id===f3||t.id===FT||t.id===R1)&&t.edges.push({source:{node_id:l?n:qs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Ke,field:"vae"}}),(t.id===Hz||t.id===h3||t.id===DS||t.id==Hg)&&t.edges.push({source:{node_id:l?n:qs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:a?Ke:ye,field:"vae"}}),(t.id===f3||t.id===R1||t.id===h3||t.id===Hg)&&t.edges.push({source:{node_id:l?n:qs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Fn,field:"vae"}}),(t.id===MS||t.id===NS||t.id===Bc||t.id===zc)&&(t.edges.push({source:{node_id:l?n:qs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Un,field:"vae"}},{source:{node_id:l?n:qs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Bn,field:"vae"}},{source:{node_id:l?n:qs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Ke,field:"vae"}}),i!=="unmasked"&&t.edges.push({source:{node_id:l?n:qs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Lt,field:"vae"}})),s&&(t.id===Bc||t.id===zc)&&t.edges.push({source:{node_id:l?n:qs,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Ba,field:"vae"}}),r&&u&&(u.vae=r)},hs=(e,t,n=Ke)=>{const i=BT(e)==="unifiedCanvas"?!e.canvas.shouldAutoSave:!1,o=t.nodes[n],s=t.nodes[Wd],a=t.nodes[Pt];if(!o)return;const l={id:Wh,type:"img_watermark",is_intermediate:i};t.nodes[Wh]=l,o.is_intermediate=!0,s?(s.is_intermediate=!0,t.edges.push({source:{node_id:Wd,field:"image"},destination:{node_id:Wh,field:"image"}})):t.edges.push({source:{node_id:n,field:"image"},destination:{node_id:Wh,field:"image"}}),a&&t.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:Wh,field:"metadata"}})},bwe=(e,t)=>{const n=ge("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,img2imgStrength:u,vaePrecision:c,clipSkip:d,shouldUseCpuNoise:f,shouldUseNoiseSettings:h,seamlessXAxis:p,seamlessYAxis:m}=e.generation,{width:b,height:_}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:y,boundingBoxScaleMethod:g,shouldAutoSave:v}=e.canvas,S=c==="fp32",w=["auto","manual"].includes(g);if(!o)throw n.error("No model found in state"),new Error("No model found in 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w?(A.nodes[vf]={id:vf,type:"img_resize",is_intermediate:!0,image:t,width:y.width,height:y.height},A.nodes[Ke]={id:Ke,type:"l2i",is_intermediate:!0,fp32:S},A.nodes[ye]={id:ye,type:"img_resize",is_intermediate:!v,width:b,height:_},A.edges.push({source:{node_id:vf,field:"image"},destination:{node_id:Fn,field:"image"}},{source:{node_id:Oe,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}})):(A.nodes[ye]={type:"l2i",id:ye,is_intermediate:!v,fp32:S},A.nodes[Fn].image=t,A.edges.push({source:{node_id:Oe,field:"latents"},destination:{node_id:ye,field:"latents"}})),A.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:w?y.width:b,height:w?y.height:_,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:C?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:d,strength:u,init_image:t.image_name},A.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:ye,field:"metadata"}}),(p||m)&&(ds(e,A,x),x=Br),yh(e,A,Oe),fs(e,A,x),Bu(e,A),ls(e,A,Oe),us(e,A,Oe),e.system.shouldUseNSFWChecker&&cs(e,A,ye),e.system.shouldUseWatermarker&&hs(e,A,ye),A},Swe=(e,t,n)=>{const r=ge("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,maskBlurMethod:y,canvasCoherenceMode:g,canvasCoherenceSteps:v,canvasCoherenceStrength:S,clipSkip:w,seamlessXAxis:x,seamlessYAxis:C}=e.generation;if(!s)throw r.error("No Image found in state"),new Error("No Image found in state");const{width:A,height:T}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:k,boundingBoxScaleMethod:L,shouldAutoSave:N}=e.canvas,E=p==="fp32",P=["auto","manual"].includes(L);let D=Fu;const B=b,R={id:MS,nodes:{[D]:{type:"main_model_loader",id:D,is_intermediate:!0,model:s},[Gt]:{type:"clip_skip",id:Gt,is_intermediate:!0,skipped_layers:w},[Ue]:{type:"compel",id:Ue,is_intermediate:!0,prompt:i},[He]:{type:"compel",id:He,is_intermediate:!0,prompt:o},[Oi]:{type:"img_blur",id:Oi,is_intermediate:!0,radius:_,blur_type:y},[Un]:{type:"i2l",id:Un,is_intermediate:!0,fp32:E},[Ee]:{type:"noise",id:Ee,use_cpu:B,is_intermediate:!0},[Bn]:{type:"create_denoise_mask",id:Bn,is_intermediate:!0,fp32:E},[Oe]:{type:"denoise_latents",id:Oe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[yn]:{type:"noise",id:Ee,use_cpu:B,is_intermediate:!0},[Li]:{type:"add",id:Li,b:1,is_intermediate:!0},[_t]:{type:"denoise_latents",id:_t,is_intermediate:!0,steps:v,cfg_scale:a,scheduler:l,denoising_start:1-S,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:!0,fp32:E},[ye]:{type:"color_correct",id:ye,is_intermediate:!N,reference:t},[Xn]:{type:"range_of_size",id:Xn,is_intermediate:!0,size:d,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:D,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:D,field:"clip"},destination:{node_id:Gt,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Oe,field:"noise"}},{source:{node_id:Un,field:"latents"},destination:{node_id:Oe,field:"latents"}},{source:{node_id:Oi,field:"image"},destination:{node_id:Bn,field:"mask"}},{source:{node_id:Bn,field:"denoise_mask"},destination:{node_id:Oe,field:"denoise_mask"}},{source:{node_id:Xn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Ee,field:"seed"}},{source:{node_id:sn,field:"item"},destination:{node_id:Li,field:"a"}},{source:{node_id:Li,field:"value"},destination:{node_id:yn,field:"seed"}},{source:{node_id:D,field:"unet"},destination:{node_id:_t,field:"unet"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:_t,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:_t,field:"negative_conditioning"}},{source:{node_id:yn,field:"noise"},destination:{node_id:_t,field:"noise"}},{source:{node_id:Oe,field:"latents"},destination:{node_id:_t,field:"latents"}},{source:{node_id:_t,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(P){const I=k.width,O=k.height;R.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:I,height:O,image:t},R.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:I,height:O,image:n},R.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:A,height:T},R.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:A,height:T},R.nodes[Ee].width=I,R.nodes[Ee].height=O,R.nodes[yn].width=I,R.nodes[yn].height=O,R.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:Oi,field:"image"}},{source:{node_id:bi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else R.nodes[Ee].width=A,R.nodes[Ee].height=T,R.nodes[yn].width=A,R.nodes[yn].height=T,R.nodes[Un]={...R.nodes[Un],image:t},R.nodes[Oi]={...R.nodes[Oi],image:n},R.nodes[Bn]={...R.nodes[Bn],image:t},R.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:ye,field:"mask"}});if(g!=="unmasked"&&(R.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:E},P?R.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Lt,field:"image"}}):R.nodes[Lt]={...R.nodes[Lt],image:t},g==="mask"&&(P?R.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):R.nodes[Lt]={...R.nodes[Lt],mask:n}),g==="edge"&&(R.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},P?R.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):R.nodes[cr]={...R.nodes[cr],image:n},R.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),R.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),h){const I={id:$r,type:"rand_int"};R.nodes[$r]=I,R.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else R.nodes[Xn].start=f;return(x||C)&&(ds(e,R,D),D=Br),fs(e,R,D),yh(e,R,Oe,D),ls(e,R,Oe),us(e,R,Oe),e.system.shouldUseNSFWChecker&&cs(e,R,ye),e.system.shouldUseWatermarker&&hs(e,R,ye),R},wwe=(e,t,n)=>{const r=ge("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,canvasCoherenceMode:y,canvasCoherenceSteps:g,canvasCoherenceStrength:v,infillTileSize:S,infillPatchmatchDownscaleSize:w,infillMethod:x,clipSkip:C,seamlessXAxis:A,seamlessYAxis:T}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in 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I=b,O={id:NS,nodes:{[R]:{type:"main_model_loader",id:R,is_intermediate:!0,model:s},[Gt]:{type:"clip_skip",id:Gt,is_intermediate:!0,skipped_layers:C},[Ue]:{type:"compel",id:Ue,is_intermediate:!0,prompt:i},[He]:{type:"compel",id:He,is_intermediate:!0,prompt:o},[_f]:{type:"tomask",id:_f,is_intermediate:!0,image:t},[vi]:{type:"mask_combine",id:vi,is_intermediate:!0,mask2:n},[Un]:{type:"i2l",id:Un,is_intermediate:!0,fp32:D},[Ee]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Bn]:{type:"create_denoise_mask",id:Bn,is_intermediate:!0,fp32:D},[Oe]:{type:"denoise_latents",id:Oe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[yn]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Li]:{type:"add",id:Li,b:1,is_intermediate:!0},[_t]:{type:"denoise_latents",id:_t,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:!0,fp32:D},[ye]:{type:"color_correct",id:ye,is_intermediate:!P},[Xn]:{type:"range_of_size",id:Xn,is_intermediate:!0,size:d,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Gt,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:_f,field:"image"},destination:{node_id:vi,field:"mask1"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Oe,field:"noise"}},{source:{node_id:Un,field:"latents"},destination:{node_id:Oe,field:"latents"}},{source:{node_id:B?zn:vi,field:"image"},destination:{node_id:Bn,field:"mask"}},{source:{node_id:Bn,field:"denoise_mask"},destination:{node_id:Oe,field:"denoise_mask"}},{source:{node_id:Xn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Ee,field:"seed"}},{source:{node_id:sn,field:"item"},destination:{node_id:Li,field:"a"}},{source:{node_id:Li,field:"value"},destination:{node_id:yn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:_t,field:"unet"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:_t,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:_t,field:"negative_conditioning"}},{source:{node_id:yn,field:"noise"},destination:{node_id:_t,field:"noise"}},{source:{node_id:Oe,field:"latents"},destination:{node_id:_t,field:"latents"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:_t,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(x==="patchmatch"&&(O.nodes[Ut]={type:"infill_patchmatch",id:Ut,is_intermediate:!0,downscale:w}),x==="lama"&&(O.nodes[Ut]={type:"infill_lama",id:Ut,is_intermediate:!0}),x==="cv2"&&(O.nodes[Ut]={type:"infill_cv2",id:Ut,is_intermediate:!0}),x==="tile"&&(O.nodes[Ut]={type:"infill_tile",id:Ut,is_intermediate:!0,tile_size:S}),B){const F=N.width,U=N.height;O.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:F,height:U,image:t},O.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:F,height:U},O.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},O.nodes[ql]={type:"img_resize",id:ql,is_intermediate:!0,width:k,height:L},O.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:k,height:L},O.nodes[Ee].width=F,O.nodes[Ee].height=U,O.nodes[yn].width=F,O.nodes[yn].height=U,O.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Ut,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:zn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:Ut,field:"image"},destination:{node_id:ql,field:"image"}},{source:{node_id:ql,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else O.nodes[Ut]={...O.nodes[Ut],image:t},O.nodes[Ee].width=k,O.nodes[Ee].height=L,O.nodes[yn].width=k,O.nodes[yn].height=L,O.nodes[Un]={...O.nodes[Un],image:t},O.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:ye,field:"mask"}});if(y!=="unmasked"&&(O.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:D},O.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:Lt,field:"image"}}),y==="mask"&&(B?O.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):O.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Lt,field:"mask"}})),y==="edge"&&(O.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},B?O.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):O.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:cr,field:"image"}}),O.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),O.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),h){const F={id:$r,type:"rand_int"};O.nodes[$r]=F,O.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else O.nodes[Xn].start=f;return(A||T)&&(ds(e,O,R),R=Br),fs(e,O,R),yh(e,O,Oe,R),ls(e,O,Oe),us(e,O,Oe),e.system.shouldUseNSFWChecker&&cs(e,O,ye),e.system.shouldUseWatermarker&&hs(e,O,ye),O},vh=(e,t,n,r=Mi)=>{const{loras:i}=e.lora,o=O_(i),s=t.nodes[Pt],a=r;let l=r;[Br,Ba].includes(r)&&(l=Mi),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;rs(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${Vz}_${f.replace(".","_")}`,b={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};s&&(s.loras||(s.loras=[]),s.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=b,c===0?(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[Bc,zc].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:_t,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Ue,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:He,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Ue,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:He,field:"clip2"}})),u=m,c+=1})},sd=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},_h=(e,t,n,r,i)=>{const{refinerModel:o,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:a,refinerSteps:l,refinerScheduler:u,refinerCFGScale:c,refinerStart:d}=e.sdxl,{seamlessXAxis:f,seamlessYAxis:h,vaePrecision:p}=e.generation,{boundingBoxScaleMethod:m}=e.canvas,b=p==="fp32",_=["auto","manual"].includes(m);if(!o)return;const y=t.nodes[Pt];y&&(y.refiner_model=o,y.refiner_positive_aesthetic_score=s,y.refiner_negative_aesthetic_score=a,y.refiner_cfg_scale=c,y.refiner_scheduler=u,y.refiner_start=d,y.refiner_steps=l);const g=r||Mi,{craftedPositiveStylePrompt:v,craftedNegativeStylePrompt:S}=sd(e,!0);t.edges=t.edges.filter(w=>!(w.source.node_id===n&&["latents"].includes(w.source.field))),t.edges=t.edges.filter(w=>!(w.source.node_id===g&&["vae"].includes(w.source.field))),t.nodes[Ku]={type:"sdxl_refiner_model_loader",id:Ku,model:o},t.nodes[t0]={type:"sdxl_refiner_compel_prompt",id:t0,style:v,aesthetic_score:s},t.nodes[n0]={type:"sdxl_refiner_compel_prompt",id:n0,style:S,aesthetic_score:a},t.nodes[Ws]={type:"denoise_latents",id:Ws,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[As]={id:As,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:Ku,field:"unet"},destination:{node_id:As,field:"unet"}},{source:{node_id:Ku,field:"vae"},destination:{node_id:As,field:"vae"}},{source:{node_id:As,field:"unet"},destination:{node_id:Ws,field:"unet"}})):t.edges.push({source:{node_id:Ku,field:"unet"},destination:{node_id:Ws,field:"unet"}}),t.edges.push({source:{node_id:Ku,field:"clip2"},destination:{node_id:t0,field:"clip2"}},{source:{node_id:Ku,field:"clip2"},destination:{node_id:n0,field:"clip2"}},{source:{node_id:t0,field:"conditioning"},destination:{node_id:Ws,field:"positive_conditioning"}},{source:{node_id:n0,field:"conditioning"},destination:{node_id:Ws,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:Ws,field:"latents"}}),(t.id===Bc||t.id===zc)&&(t.nodes[Ba]={type:"create_denoise_mask",id:Ba,is_intermediate:!0,fp32:b},_?t.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Ba,field:"image"}}):t.nodes[Ba]={...t.nodes[Ba],image:i},t.edges.push({source:{node_id:_?zn:vi,field:"image"},destination:{node_id:Ba,field:"mask"}},{source:{node_id:Ba,field:"denoise_mask"},destination:{node_id:Ws,field:"denoise_mask"}})),t.id===DS||t.id===Hg?t.edges.push({source:{node_id:Ws,field:"latents"},destination:{node_id:_?Ke:ye,field:"latents"}}):t.edges.push({source:{node_id:Ws,field:"latents"},destination:{node_id:Ke,field:"latents"}})},xwe=(e,t)=>{const n=ge("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:y}=e.sdxl,{width:g,height:v}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:x}=e.canvas,C=u==="fp32",A=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let T=Mi;const k=f?d:zs.shouldUseCpuNoise,{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:N}=sd(e,y),E={id:Hg,nodes:{[T]:{type:"sdxl_model_loader",id:T,model:o},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:r,style:L},[He]:{type:"sdxl_compel_prompt",id:He,prompt:i,style:N},[Ee]:{type:"noise",id:Ee,is_intermediate:!0,use_cpu:k,width:A?S.width:g,height:A?S.height:v},[Fn]:{type:"i2l",id:Fn,is_intermediate:!0,fp32:C},[Ce]:{type:"denoise_latents",id:Ce,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Fn,field:"latents"},destination:{node_id:Ce,field:"latents"}}]};return A?(E.nodes[vf]={id:vf,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},E.nodes[Ke]={id:Ke,type:"l2i",is_intermediate:!0,fp32:C},E.nodes[ye]={id:ye,type:"img_resize",is_intermediate:!x,width:g,height:v},E.edges.push({source:{node_id:vf,field:"image"},destination:{node_id:Fn,field:"image"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}})):(E.nodes[ye]={type:"l2i",id:ye,is_intermediate:!x,fp32:C},E.nodes[Fn].image=t,E.edges.push({source:{node_id:Ce,field:"latents"},destination:{node_id:ye,field:"latents"}})),E.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:A?S.width:g,height:A?S.height:v,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:k?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},E.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:ye,field:"metadata"}}),(h||p)&&(ds(e,E,T),T=Br),m&&(_h(e,E,Ce,T),(h||p)&&(T=As)),fs(e,E,T),vh(e,E,Ce,T),Bu(e,E),ls(e,E,Ce),us(e,E,Ce),e.system.shouldUseNSFWChecker&&cs(e,E,ye),e.system.shouldUseWatermarker&&hs(e,E,ye),E},Cwe=(e,t,n)=>{const r=ge("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceMode:y,canvasCoherenceSteps:g,canvasCoherenceStrength:v,seamlessXAxis:S,seamlessYAxis:w}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:C,refinerStart:A,shouldConcatSDXLStylePrompt:T}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:k,height:L}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:N,boundingBoxScaleMethod:E,shouldAutoSave:P}=e.canvas,D=h==="fp32",B=["auto","manual"].includes(E);let R=Mi;const I=m,{craftedPositiveStylePrompt:O,craftedNegativeStylePrompt:F}=sd(e,T),U={id:Bc,nodes:{[R]:{type:"sdxl_model_loader",id:R,model:s},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:i,style:O},[He]:{type:"sdxl_compel_prompt",id:He,prompt:o,style:F},[Oi]:{type:"img_blur",id:Oi,is_intermediate:!0,radius:b,blur_type:_},[Un]:{type:"i2l",id:Un,is_intermediate:!0,fp32:D},[Ee]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Bn]:{type:"create_denoise_mask",id:Bn,is_intermediate:!0,fp32:D},[Ce]:{type:"denoise_latents",id:Ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:C?Math.min(A,1-x):1-x,denoising_end:C?A:1},[yn]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Li]:{type:"add",id:Li,b:1,is_intermediate:!0},[_t]:{type:"denoise_latents",id:_t,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:!0,fp32:D},[ye]:{type:"color_correct",id:ye,is_intermediate:!P,reference:t},[Xn]:{type:"range_of_size",id:Xn,is_intermediate:!0,size:c,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:R,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Un,field:"latents"},destination:{node_id:Ce,field:"latents"}},{source:{node_id:Oi,field:"image"},destination:{node_id:Bn,field:"mask"}},{source:{node_id:Bn,field:"denoise_mask"},destination:{node_id:Ce,field:"denoise_mask"}},{source:{node_id:Xn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Ee,field:"seed"}},{source:{node_id:sn,field:"item"},destination:{node_id:Li,field:"a"}},{source:{node_id:Li,field:"value"},destination:{node_id:yn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:_t,field:"unet"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:_t,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:_t,field:"negative_conditioning"}},{source:{node_id:yn,field:"noise"},destination:{node_id:_t,field:"noise"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:_t,field:"latents"}},{source:{node_id:_t,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(B){const V=N.width,H=N.height;U.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:V,height:H,image:t},U.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:V,height:H,image:n},U.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},U.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:k,height:L},U.nodes[Ee].width=V,U.nodes[Ee].height=H,U.nodes[yn].width=V,U.nodes[yn].height=H,U.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:Oi,field:"image"}},{source:{node_id:bi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else U.nodes[Ee].width=k,U.nodes[Ee].height=L,U.nodes[yn].width=k,U.nodes[yn].height=L,U.nodes[Un]={...U.nodes[Un],image:t},U.nodes[Oi]={...U.nodes[Oi],image:n},U.nodes[Bn]={...U.nodes[Bn],image:t},U.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:ye,field:"mask"}});if(y!=="unmasked"&&(U.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:D},B?U.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Lt,field:"image"}}):U.nodes[Lt]={...U.nodes[Lt],image:t},y==="mask"&&(B?U.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):U.nodes[Lt]={...U.nodes[Lt],mask:n}),y==="edge"&&(U.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},B?U.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):U.nodes[cr]={...U.nodes[cr],image:n},U.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),U.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),f){const V={id:$r,type:"rand_int"};U.nodes[$r]=V,U.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else U.nodes[Xn].start=d;return(S||w)&&(ds(e,U,R),R=Br),C&&(_h(e,U,_t,R,t),(S||w)&&(R=As)),fs(e,U,R),vh(e,U,Ce,R),ls(e,U,Ce),us(e,U,Ce),e.system.shouldUseNSFWChecker&&cs(e,U,ye),e.system.shouldUseWatermarker&&hs(e,U,ye),U},Ewe=(e,t,n)=>{const r=ge("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,canvasCoherenceMode:_,canvasCoherenceSteps:y,canvasCoherenceStrength:g,infillTileSize:v,infillPatchmatchDownscaleSize:S,infillMethod:w,seamlessXAxis:x,seamlessYAxis:C}=e.generation,{sdxlImg2ImgDenoisingStrength:A,shouldUseSDXLRefiner:T,refinerStart:k,shouldConcatSDXLStylePrompt:L}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:N,height:E}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:P,boundingBoxScaleMethod:D,shouldAutoSave:B}=e.canvas,R=h==="fp32",I=["auto","manual"].includes(D);let O=Mi;const F=m,{craftedPositiveStylePrompt:U,craftedNegativeStylePrompt:V}=sd(e,L),H={id:zc,nodes:{[Mi]:{type:"sdxl_model_loader",id:Mi,model:s},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:i,style:U},[He]:{type:"sdxl_compel_prompt",id:He,prompt:o,style:V},[_f]:{type:"tomask",id:_f,is_intermediate:!0,image:t},[vi]:{type:"mask_combine",id:vi,is_intermediate:!0,mask2:n},[Un]:{type:"i2l",id:Un,is_intermediate:!0,fp32:R},[Ee]:{type:"noise",id:Ee,use_cpu:F,is_intermediate:!0},[Bn]:{type:"create_denoise_mask",id:Bn,is_intermediate:!0,fp32:R},[Ce]:{type:"denoise_latents",id:Ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:T?Math.min(k,1-A):1-A,denoising_end:T?k:1},[yn]:{type:"noise",id:Ee,use_cpu:F,is_intermediate:!0},[Li]:{type:"add",id:Li,b:1,is_intermediate:!0},[_t]:{type:"denoise_latents",id:_t,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:!0,fp32:R},[ye]:{type:"color_correct",id:ye,is_intermediate:!B},[Xn]:{type:"range_of_size",id:Xn,is_intermediate:!0,size:c,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:Mi,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:Mi,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Mi,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:Mi,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Mi,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:_f,field:"image"},destination:{node_id:vi,field:"mask1"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Un,field:"latents"},destination:{node_id:Ce,field:"latents"}},{source:{node_id:I?zn:vi,field:"image"},destination:{node_id:Bn,field:"mask"}},{source:{node_id:Bn,field:"denoise_mask"},destination:{node_id:Ce,field:"denoise_mask"}},{source:{node_id:Xn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Ee,field:"seed"}},{source:{node_id:sn,field:"item"},destination:{node_id:Li,field:"a"}},{source:{node_id:Li,field:"value"},destination:{node_id:yn,field:"seed"}},{source:{node_id:O,field:"unet"},destination:{node_id:_t,field:"unet"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:_t,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:_t,field:"negative_conditioning"}},{source:{node_id:yn,field:"noise"},destination:{node_id:_t,field:"noise"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:_t,field:"latents"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:_t,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(w==="patchmatch"&&(H.nodes[Ut]={type:"infill_patchmatch",id:Ut,is_intermediate:!0,downscale:S}),w==="lama"&&(H.nodes[Ut]={type:"infill_lama",id:Ut,is_intermediate:!0}),w==="cv2"&&(H.nodes[Ut]={type:"infill_cv2",id:Ut,is_intermediate:!0}),w==="tile"&&(H.nodes[Ut]={type:"infill_tile",id:Ut,is_intermediate:!0,tile_size:v}),I){const Y=P.width,Q=P.height;H.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:Y,height:Q,image:t},H.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:Y,height:Q},H.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:N,height:E},H.nodes[ql]={type:"img_resize",id:ql,is_intermediate:!0,width:N,height:E},H.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:N,height:E},H.nodes[Ee].width=Y,H.nodes[Ee].height=Q,H.nodes[yn].width=Y,H.nodes[yn].height=Q,H.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Ut,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:zn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:Ut,field:"image"},destination:{node_id:ql,field:"image"}},{source:{node_id:ql,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else H.nodes[Ut]={...H.nodes[Ut],image:t},H.nodes[Ee].width=N,H.nodes[Ee].height=E,H.nodes[yn].width=N,H.nodes[yn].height=E,H.nodes[Un]={...H.nodes[Un],image:t},H.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:ye,field:"mask"}});if(_!=="unmasked"&&(H.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:R},H.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:Lt,field:"image"}}),_==="mask"&&(I?H.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Lt,field:"mask"}})),_==="edge"&&(H.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},I?H.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:cr,field:"image"}}),H.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),H.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),f){const Y={id:$r,type:"rand_int"};H.nodes[$r]=Y,H.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else H.nodes[Xn].start=d;return(x||C)&&(ds(e,H,O),O=Br),T&&(_h(e,H,_t,O,t),(x||C)&&(O=As)),fs(e,H,O),vh(e,H,Ce,O),ls(e,H,Ce),us(e,H,Ce),e.system.shouldUseNSFWChecker&&cs(e,H,ye),e.system.shouldUseWatermarker&&hs(e,H,ye),H},Twe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=l==="fp32",v=["auto","manual"].includes(_),{shouldUseSDXLRefiner:S,refinerStart:w,shouldConcatSDXLStylePrompt:x}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const C=d?c:zs.shouldUseCpuNoise,A=i.model_type==="onnx";let T=A?OS:Mi;const k=A?"onnx_model_loader":"sdxl_model_loader",L=A?{type:"t2l_onnx",id:Ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:S?w:1},{craftedPositiveStylePrompt:N,craftedNegativeStylePrompt:E}=sd(e,x),P={id:DS,nodes:{[T]:{type:k,id:T,is_intermediate:!0,model:i},[Ue]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Ue,is_intermediate:!0,prompt:n,style:N},[He]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:He,is_intermediate:!0,prompt:r,style:E},[Ee]:{type:"noise",id:Ee,is_intermediate:!0,width:v?b.width:p,height:v?b.height:m,use_cpu:C},[L.id]:L},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}}]};return v?(P.nodes[Ke]={id:Ke,type:A?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},P.nodes[ye]={id:ye,type:"img_resize",is_intermediate:!y,width:p,height:m},P.edges.push({source:{node_id:Ce,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}})):(P.nodes[ye]={type:A?"l2i_onnx":"l2i",id:ye,is_intermediate:!y,fp32:g},P.edges.push({source:{node_id:Ce,field:"latents"},destination:{node_id:ye,field:"latents"}})),P.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:v?b.width:p,height:v?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:C?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},P.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:ye,field:"metadata"}}),(f||h)&&(ds(e,P,T),T=Br),S&&(_h(e,P,Ce,T),(f||h)&&(T=As)),vh(e,P,Ce,T),fs(e,P,T),Bu(e,P),ls(e,P,Ce),us(e,P,Ce),e.system.shouldUseNSFWChecker&&cs(e,P,ye),e.system.shouldUseWatermarker&&hs(e,P,ye),P},Awe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=l==="fp32",v=["auto","manual"].includes(_);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const S=d?c:zs.shouldUseCpuNoise,w=i.model_type==="onnx";let x=w?OS:Fu;const C=w?"onnx_model_loader":"main_model_loader",A=w?{type:"t2l_onnx",id:Oe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Oe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},T={id:Hz,nodes:{[x]:{type:C,id:x,is_intermediate:!0,model:i},[Gt]:{type:"clip_skip",id:Gt,is_intermediate:!0,skipped_layers:u},[Ue]:{type:w?"prompt_onnx":"compel",id:Ue,is_intermediate:!0,prompt:n},[He]:{type:w?"prompt_onnx":"compel",id:He,is_intermediate:!0,prompt:r},[Ee]:{type:"noise",id:Ee,is_intermediate:!0,width:v?b.width:p,height:v?b.height:m,use_cpu:S},[A.id]:A},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:Gt,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Oe,field:"noise"}}]};return v?(T.nodes[Ke]={id:Ke,type:w?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},T.nodes[ye]={id:ye,type:"img_resize",is_intermediate:!y,width:p,height:m},T.edges.push({source:{node_id:Oe,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}})):(T.nodes[ye]={type:w?"l2i_onnx":"l2i",id:ye,is_intermediate:!y,fp32:g},T.edges.push({source:{node_id:Oe,field:"latents"},destination:{node_id:ye,field:"latents"}})),T.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:v?b.width:p,height:v?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},T.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:ye,field:"metadata"}}),(f||h)&&(ds(e,T,x),x=Br),fs(e,T,x),yh(e,T,Oe,x),Bu(e,T),ls(e,T,Oe),us(e,T,Oe),e.system.shouldUseNSFWChecker&&cs(e,T,ye),e.system.shouldUseWatermarker&&hs(e,T,ye),T},kwe=(e,t,n,r)=>{let i;if(t==="txt2img")e.generation.model&&e.generation.model.base_model==="sdxl"?i=Twe(e):i=Awe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=xwe(e,n):i=bwe(e,n)}else if(t==="inpaint"){if(!n||!r)throw new Error("Missing canvas init and mask images");e.generation.model&&e.generation.model.base_model==="sdxl"?i=Cwe(e,n,r):i=Swe(e,n,r)}else{if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=Ewe(e,n,r):i=wwe(e,n,r)}return i},Pwe=()=>{Te({predicate:e=>Fm.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=ge("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:c}=o.canvas,d=await DT(s,a,l,u,c);if(!d){i.error("Unable to create canvas data");return}const{baseBlob:f,baseImageData:h,maskBlob:p,maskImageData:m}=d,b=vwe(h,m);if(o.system.enableImageDebugging){const x=await kR(f),C=await kR(p);gwe([{base64:C,caption:"mask b64"},{base64:x,caption:"image b64"}])}i.debug(`Generation mode: ${b}`);let _,y;["img2img","inpaint","outpaint"].includes(b)&&(_=await n(pe.endpoints.uploadImage.initiate({file:new File([f],"canvasInitImage.png",{type:"image/png"}),image_category:"general",is_intermediate:!0})).unwrap()),["inpaint","outpaint"].includes(b)&&(y=await n(pe.endpoints.uploadImage.initiate({file:new File([p],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!0})).unwrap());const g=kwe(o,b,_,y);i.debug({graph:mn(g)},"Canvas graph built"),n(ZB(g));const{requestId:v}=n(xi({graph:g})),[S]=await r(x=>xi.fulfilled.match(x)&&x.meta.requestId===v),w=S.payload.id;["img2img","inpaint"].includes(b)&&_&&n(pe.endpoints.changeImageSessionId.initiate({imageDTO:_,session_id:w})),["inpaint"].includes(b)&&y&&n(pe.endpoints.changeImageSessionId.initiate({imageDTO:y,session_id:w})),o.canvas.layerState.stagingArea.boundingBox||n(ere({sessionId:w,boundingBox:{...o.canvas.boundingBoxCoordinates,...o.canvas.boundingBoxDimensions}})),n(tre(w)),n(od())}})},Rwe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,img2imgStrength:u,shouldFitToWidthHeight:c,width:d,height:f,clipSkip:h,shouldUseCpuNoise:p,shouldUseNoiseSettings:m,vaePrecision:b,seamlessXAxis:_,seamlessYAxis:y}=e.generation;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");const g=b==="fp32";let v=Fu;const S=m?p:zs.shouldUseCpuNoise,w={id:f3,nodes:{[v]:{type:"main_model_loader",id:v,model:i},[Gt]:{type:"clip_skip",id:Gt,skipped_layers:h},[Ue]:{type:"compel",id:Ue,prompt:n},[He]:{type:"compel",id:He,prompt:r},[Ee]:{type:"noise",id:Ee,use_cpu:S},[Ke]:{type:"l2i",id:Ke,fp32:g},[Oe]:{type:"denoise_latents",id:Oe,cfg_scale:o,scheduler:s,steps:a,denoising_start:1-u,denoising_end:1},[Fn]:{type:"i2l",id:Fn,fp32:g}},edges:[{source:{node_id:v,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:v,field:"clip"},destination:{node_id:Gt,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Oe,field:"noise"}},{source:{node_id:Fn,field:"latents"},destination:{node_id:Oe,field:"latents"}},{source:{node_id:Oe,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(c&&(l.width!==d||l.height!==f)){const x={id:ra,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:d,height:f};w.nodes[ra]=x,w.edges.push({source:{node_id:ra,field:"image"},destination:{node_id:Fn,field:"image"}}),w.edges.push({source:{node_id:ra,field:"width"},destination:{node_id:Ee,field:"width"}}),w.edges.push({source:{node_id:ra,field:"height"},destination:{node_id:Ee,field:"height"}})}else w.nodes[Fn].image={image_name:l.imageName},w.edges.push({source:{node_id:Fn,field:"width"},destination:{node_id:Ee,field:"width"}}),w.edges.push({source:{node_id:Fn,field:"height"},destination:{node_id:Ee,field:"height"}});return w.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:o,height:f,width:d,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 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location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=bxe(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=rU,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new Rxe[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Od.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Od.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Od.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Od.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),this.resetPingTimeout(),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=yxe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Od.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};uU.protocol=rU;function Dxe(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=m3(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const Lxe=typeof ArrayBuffer=="function",$xe=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,cU=Object.prototype.toString,Fxe=typeof Blob=="function"||typeof Blob<"u"&&cU.call(Blob)==="[object BlobConstructor]",Bxe=typeof File=="function"||typeof File<"u"&&cU.call(File)==="[object FileConstructor]";function qT(e){return Lxe&&(e instanceof ArrayBuffer||$xe(e))||Fxe&&e instanceof Blob||Bxe&&e instanceof File}function G0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(G0(e[n]))return!0;return!1}if(qT(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return G0(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&G0(e[n]))return!0;return!1}function zxe(e){const t=[],n=e.data,r=e;return r.data=y3(n,t),r.attachments=t.length,{packet:r,buffers:t}}function y3(e,t){if(!e)return e;if(qT(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=y3(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=y3(e[r],t));return n}return e}function Uxe(e,t){return e.data=v3(e.data,t),delete e.attachments,e}function v3(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=v3(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=v3(e[n],t));return e}const jxe=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],Vxe=5;var Nt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Nt||(Nt={}));class Gxe{constructor(t){this.replacer=t}encode(t){return(t.type===Nt.EVENT||t.type===Nt.ACK)&&G0(t)?this.encodeAsBinary({type:t.type===Nt.EVENT?Nt.BINARY_EVENT:Nt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===Nt.BINARY_EVENT||t.type===Nt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=zxe(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function VR(e){return Object.prototype.toString.call(e)==="[object Object]"}class WT extends Rr{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===Nt.BINARY_EVENT;r||n.type===Nt.BINARY_ACK?(n.type=r?Nt.EVENT:Nt.ACK,this.reconstructor=new Hxe(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(qT(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(Nt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===Nt.BINARY_EVENT||r.type===Nt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(WT.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case Nt.CONNECT:return VR(n);case Nt.DISCONNECT:return n===void 0;case Nt.CONNECT_ERROR:return typeof n=="string"||VR(n);case Nt.EVENT:case Nt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&jxe.indexOf(n[0])===-1);case Nt.ACK:case Nt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class Hxe{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=Uxe(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const qxe=Object.freeze(Object.defineProperty({__proto__:null,Decoder:WT,Encoder:Gxe,get PacketType(){return Nt},protocol:Vxe},Symbol.toStringTag,{value:"Module"}));function Ss(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const Wxe=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class dU extends Rr{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Ss(t,"open",this.onopen.bind(this)),Ss(t,"packet",this.onpacket.bind(this)),Ss(t,"error",this.onerror.bind(this)),Ss(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(Wxe.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:Nt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:Nt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Nt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Nt.EVENT:case Nt.BINARY_EVENT:this.onevent(t);break;case Nt.ACK:case Nt.BINARY_ACK:this.onack(t);break;case Nt.DISCONNECT:this.ondisconnect();break;case Nt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:Nt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Nt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function bh(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}bh.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};bh.prototype.reset=function(){this.attempts=0};bh.prototype.setMin=function(e){this.ms=e};bh.prototype.setMax=function(e){this.max=e};bh.prototype.setJitter=function(e){this.jitter=e};class _3 extends Rr{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,LS(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new bh({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||qxe;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 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s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=g4e(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&Kd(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=m4e(r.layoutBox,t):this.constraints=!1,this.elastic=b4e(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&Qs(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=_4e(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!Kd(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=T4e(r,i.root,this.visualElement.getTransformPagePoint());let s=y4e(i.layout.layoutBox,o);if(n){const a=n(S4e(s));this.hasMutatedConstraints=!!a,a&&(s=Uj(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=Qs(c=>{if(!f0(c,n,this.currentDirection))return;let d=l&&l[c]||{};s&&(d={min:0,max:0});const f=i?200:1e6,h=i?40:1e7,p={type:"inertia",velocity:r?t[c]:0,bounceStiffness:f,bounceDamping:h,timeConstant:750,restDelta:1,restSpeed:10,...o,...d};return this.startAxisValueAnimation(c,p)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(w4(t,r,0,n))}stopAnimation(){Qs(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){Qs(n=>{const{drag:r}=this.getProps();if(!f0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-rr(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!Kd(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};Qs(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=v4e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),Qs(s=>{if(!f0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(rr(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;A4e.set(this.visualElement,this);const t=this.visualElement.current,n=Ja(t,"pointerdown",l=>{const{drag:u,dragListener:c=!0}=this.getProps();u&&c&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();Kd(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=Ka(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(Qs(c=>{const d=this.getAxisMotionValue(c);d&&(this.originPoint[c]+=l[c].translate,d.set(d.get()+l[c].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=$3,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function f0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function P4e(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class R4e extends Uu{constructor(t){super(t),this.removeGroupControls=dr,this.removeListeners=dr,this.controls=new k4e(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||dr}unmount(){this.removeGroupControls(),this.removeListeners()}}const jI=e=>(t,n)=>{e&&kn.update(()=>e(t,n))};class I4e extends Uu{constructor(){super(...arguments),this.removePointerDownListener=dr}onPointerDown(t){this.session=new Bj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:jI(t),onStart:jI(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&kn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=Ja(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function O4e(){const e=M.useContext(Hm);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=M.useId();return M.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function YMe(){return M4e(M.useContext(Hm))}function M4e(e){return e===null?!0:e.isPresent}const Z0={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function VI(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const Yh={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(rt.test(e))e=parseFloat(e);else return e;const n=VI(e,t.target.x),r=VI(e,t.target.y);return`${n}% ${r}%`}},N4e={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Cu.parse(e);if(i.length>5)return r;const o=Cu.createTransformer(e),s=typeof i[0]!="number"?1:0,a=n.x.scale*t.x,l=n.y.scale*t.y;i[0+s]/=a,i[1+s]/=l;const u=rr(a,l,.5);return typeof i[2+s]=="number"&&(i[2+s]/=u),typeof i[3+s]=="number"&&(i[3+s]/=u),o(i)}};class D4e extends vn.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;UEe(L4e),o&&(n.group&&n.group.add(o),r&&r.register&&i&&r.register(o),o.root.didUpdate(),o.addEventListener("animationComplete",()=>{this.safeToRemove()}),o.setOptions({...o.options,onExitComplete:()=>this.safeToRemove()})),Z0.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:i,isPresent:o}=this.props,s=r.projection;return s&&(s.isPresent=o,i||t.layoutDependency!==n||n===void 0?s.willUpdate():this.safeToRemove(),t.isPresent!==o&&(o?s.promote():s.relegate()||kn.postRender(()=>{const a=s.getStack();(!a||!a.members.length)&&this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),queueMicrotask(()=>{!t.currentAnimation&&t.isLead()&&this.safeToRemove()}))}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:i}=t;i&&(i.scheduleCheckAfterUnmount(),n&&n.group&&n.group.remove(i),r&&r.deregister&&r.deregister(i))}safeToRemove(){const{safeToRemove:t}=this.props;t&&t()}render(){return null}}function Hj(e){const[t,n]=O4e(),r=M.useContext(l4);return vn.createElement(D4e,{...e,layoutGroup:r,switchLayoutGroup:M.useContext(zU),isPresent:t,safeToRemove:n})}const L4e={borderRadius:{...Yh,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:Yh,borderTopRightRadius:Yh,borderBottomLeftRadius:Yh,borderBottomRightRadius:Yh,boxShadow:N4e},qj=["TopLeft","TopRight","BottomLeft","BottomRight"],$4e=qj.length,GI=e=>typeof e=="string"?parseFloat(e):e,HI=e=>typeof e=="number"||rt.test(e);function F4e(e,t,n,r,i,o){i?(e.opacity=rr(0,n.opacity!==void 0?n.opacity:1,B4e(r)),e.opacityExit=rr(t.opacity!==void 0?t.opacity:1,0,z4e(r))):o&&(e.opacity=rr(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<$4e;s++){const a=`border${qj[s]}Radius`;let l=qI(t,a),u=qI(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||HI(l)===HI(u)?(e[a]=Math.max(rr(GI(l),GI(u),r),0),(ma.test(u)||ma.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=rr(t.rotate||0,n.rotate||0,r))}function qI(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const B4e=Wj(0,.5,v4),z4e=Wj(.5,.95,dr);function Wj(e,t,n){return r=>r<e?0:r>t?1:n(Zg(e,t,r))}function WI(e,t){e.min=t.min,e.max=t.max}function Go(e,t){WI(e.x,t.x),WI(e.y,t.y)}function KI(e,t,n,r,i){return e-=t,e=j1(e,1/n,r),i!==void 0&&(e=j1(e,1/i,r)),e}function U4e(e,t=0,n=1,r=.5,i,o=e,s=e){if(ma.test(t)&&(t=parseFloat(t),t=rr(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=rr(o.min,o.max,r);e===o&&(a-=t),e.min=KI(e.min,t,n,a,i),e.max=KI(e.max,t,n,a,i)}function XI(e,t,[n,r,i],o,s){U4e(e,t[n],t[r],t[i],t.scale,o,s)}const j4e=["x","scaleX","originX"],V4e=["y","scaleY","originY"];function QI(e,t,n,r){XI(e.x,t,j4e,n?n.x:void 0,r?r.x:void 0),XI(e.y,t,V4e,n?n.y:void 0,r?r.y:void 0)}function YI(e){return e.translate===0&&e.scale===1}function Kj(e){return YI(e.x)&&YI(e.y)}function G4e(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function Xj(e,t){return Math.round(e.x.min)===Math.round(t.x.min)&&Math.round(e.x.max)===Math.round(t.x.max)&&Math.round(e.y.min)===Math.round(t.y.min)&&Math.round(e.y.max)===Math.round(t.y.max)}function ZI(e){return Lo(e.x)/Lo(e.y)}class H4e{constructor(){this.members=[]}add(t){x4(this.members,t),t.scheduleRender()}remove(t){if(C4(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function JI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:c}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),c&&(r+=`rotateY(${c}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const q4e=(e,t)=>e.depth-t.depth;class W4e{constructor(){this.children=[],this.isDirty=!1}add(t){x4(this.children,t),this.isDirty=!0}remove(t){C4(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(q4e),this.isDirty=!1,this.children.forEach(t)}}function K4e(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(cl(r),e(o-t))};return kn.read(r,!0),()=>cl(r)}function X4e(e){window.MotionDebug&&window.MotionDebug.record(e)}function Q4e(e){return e instanceof SVGElement&&e.tagName!=="svg"}function Y4e(e,t,n){const r=_o(e)?e:Zf(e);return r.start(w4("",r,t,n)),r.animation}const eO=["","X","Y","Z"],tO=1e3;let Z4e=0;const nc={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function Qj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=Z4e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{nc.totalNodes=nc.resolvedTargetDeltas=nc.recalculatedProjection=0,this.nodes.forEach(tAe),this.nodes.forEach(sAe),this.nodes.forEach(aAe),this.nodes.forEach(nAe),X4e(nc)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new W4e)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new E4),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=Q4e(s),this.instance=s;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=K4e(f,250),Z0.hasAnimatedSinceResize&&(Z0.hasAnimatedSinceResize=!1,this.nodes.forEach(rO))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||fAe,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),y=!this.targetLayout||!Xj(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(y||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const v={...Nj(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(v.delay=0,v.type=!1),this.startAnimation(v)}else f||rO(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,cl(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(lAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(nO);return}this.isUpdating||this.nodes.forEach(iAe),this.isUpdating=!1,this.nodes.forEach(oAe),this.nodes.forEach(J4e),this.nodes.forEach(eAe),this.clearAllSnapshots();const a=performance.now();Ii.delta=xu(0,1e3/60,a-Ii.timestamp),Ii.timestamp=a,Ii.isProcessing=!0,zw.update.process(Ii),zw.preRender.process(Ii),zw.render.process(Ii),Ii.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(rAe),this.sharedNodes.forEach(uAe)}scheduleUpdateProjection(){kn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){kn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Ar(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Kj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;s&&(a||tc(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),hAe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Ar();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(Ml(a.x,l.offset.x),Ml(a.y,l.offset.y)),a}removeElementScroll(s){const a=Ar();Go(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){Go(a,s);const{scroll:f}=this.root;f&&(Ml(a.x,-f.offset.x),Ml(a.y,-f.offset.y))}Ml(a.x,c.offset.x),Ml(a.y,c.offset.y)}}return a}applyTransform(s,a=!1){const l=Ar();Go(l,s);for(let u=0;u<this.path.length;u++){const c=this.path[u];!a&&c.options.layoutScroll&&c.scroll&&c!==c.root&&Yd(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),tc(c.latestValues)&&Yd(l,c.latestValues)}return tc(this.latestValues)&&Yd(l,this.latestValues),l}removeTransform(s){const a=Ar();Go(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!tc(u.latestValues))continue;F3(u.latestValues)&&u.updateSnapshot();const c=Ar(),d=u.measurePageBox();Go(c,d),QI(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return tc(this.latestValues)&&QI(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Ii.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=Ii.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Ar(),this.relativeTargetOrigin=Ar(),Rp(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),Go(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Ar(),this.targetWithTransforms=Ar()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),p4e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):Go(this.target,this.layout.layoutBox),Vj(this.target,this.targetDelta)):Go(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Ar(),this.relativeTargetOrigin=Ar(),Rp(this.relativeTargetOrigin,this.target,h.target),Go(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}nc.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||F3(this.parent.latestValues)||jj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===Ii.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;Go(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;x4e(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:p}=a;if(!p){this.projectionTransform&&(this.projectionDelta=Qd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Qd(),this.projectionDeltaWithTransform=Qd());const m=this.projectionTransform;Pp(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=JI(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),nc.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=Qd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const f=Ar(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,b=this.getStack(),_=!b||b.members.length<=1,y=!!(m&&!_&&this.options.crossfade===!0&&!this.path.some(dAe));this.animationProgress=0;let g;this.mixTargetDelta=v=>{const S=v/1e3;iO(d.x,s.x,S),iO(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Rp(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),cAe(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&G4e(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=Ar()),Go(g,this.relativeTarget)),m&&(this.animationValues=c,F4e(c,u,this.latestValues,S,y,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(cl(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=kn.update(()=>{Z0.hasAnimatedSinceResize=!0,this.currentAnimation=Y4e(0,tO,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(tO),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Yj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Ar();const d=Lo(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=Lo(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}Go(a,l),Yd(a,c),Pp(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new H4e),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c<eO.length;c++){const d="rotate"+eO[c];l[d]&&(u[d]=l[d],s.setStaticValue(d,0))}s.render();for(const c in u)s.setStaticValue(c,u[c]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Y0(s.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=Y0(s.pointerEvents)||""),this.hasProjected&&!tc(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=JI(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(a=f.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in D1){if(f[m]===void 0)continue;const{correct:b,applyTo:_}=D1[m],y=u.transform==="none"?f[m]:b(f[m],d);if(_){const g=_.length;for(let v=0;v<g;v++)u[_[v]]=y}else u[m]=y}return this.options.layoutId&&(u.pointerEvents=d===this?Y0(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(nO),this.root.sharedNodes.clear()}}}function J4e(e){e.updateLayout()}function eAe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?Qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Lo(f);f.min=r[d].min,f.max=f.min+h}):Yj(o,n.layoutBox,r)&&Qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Lo(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=Qd();Pp(a,r,n.layoutBox);const l=Qd();s?Pp(l,e.applyTransform(i,!0),n.measuredBox):Pp(l,r,n.layoutBox);const u=!Kj(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=Ar();Rp(p,n.layoutBox,f.layoutBox);const m=Ar();Rp(m,r,h.layoutBox),Xj(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function tAe(e){nc.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function nAe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function rAe(e){e.clearSnapshot()}function nO(e){e.clearMeasurements()}function iAe(e){e.isLayoutDirty=!1}function oAe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function rO(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function sAe(e){e.resolveTargetDelta()}function aAe(e){e.calcProjection()}function lAe(e){e.resetRotation()}function uAe(e){e.removeLeadSnapshot()}function iO(e,t,n){e.translate=rr(t.translate,0,n),e.scale=rr(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function oO(e,t,n,r){e.min=rr(t.min,n.min,r),e.max=rr(t.max,n.max,r)}function cAe(e,t,n,r){oO(e.x,t.x,n.x,r),oO(e.y,t.y,n.y,r)}function dAe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const fAe={duration:.45,ease:[.4,0,.1,1]},sO=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),aO=sO("applewebkit/")&&!sO("chrome/")?Math.round:dr;function lO(e){e.min=aO(e.min),e.max=aO(e.max)}function hAe(e){lO(e.x),lO(e.y)}function Yj(e,t,n){return e==="position"||e==="preserve-aspect"&&!L3(ZI(t),ZI(n),.2)}const pAe=Qj({attachResizeListener:(e,t)=>Ka(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),Yw={current:void 0},Zj=Qj({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!Yw.current){const e=new pAe({});e.mount(window),e.setOptions({layoutScroll:!0}),Yw.current=e}return Yw.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),gAe={pan:{Feature:I4e},drag:{Feature:R4e,ProjectionNode:Zj,MeasureLayout:Hj}},mAe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function yAe(e){const t=mAe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function z3(e,t,n=1){const[r,i]=yAe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);if(o){const s=o.trim();return Dj(s)?parseFloat(s):s}else return P3(i)?z3(i,t,n+1):i}function vAe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!P3(o))return;const s=z3(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!P3(o))continue;const s=z3(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const _Ae=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),Jj=e=>_Ae.has(e),bAe=e=>Object.keys(e).some(Jj),uO=e=>e===ld||e===rt,cO=(e,t)=>parseFloat(e.split(", ")[t]),dO=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return cO(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?cO(o[1],e):0}},SAe=new Set(["x","y","z"]),wAe=qm.filter(e=>!SAe.has(e));function xAe(e){const t=[];return wAe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const Jf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:dO(4,13),y:dO(5,14)};Jf.translateX=Jf.x;Jf.translateY=Jf.y;const CAe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=Jf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const c=t.getValue(u);c&&c.jump(a[u]),e[u]=Jf[u](l,o)}),e},EAe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(Jj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let c=n[l],d=Qh(c);const f=t[l];let h;if($1(f)){const p=f.length,m=f[0]===null?1:0;c=f[m],d=Qh(c);for(let b=m;b<p&&f[b]!==null;b++)h?y4(Qh(f[b])===h):h=Qh(f[b])}else h=Qh(f);if(d!==h)if(uO(d)&&uO(h)){const p=u.get();typeof p=="string"&&u.set(parseFloat(p)),typeof f=="string"?t[l]=parseFloat(f):Array.isArray(f)&&h===rt&&(t[l]=f.map(parseFloat))}else d!=null&&d.transform&&(h!=null&&h.transform)&&(c===0||f===0)?c===0?u.set(h.transform(c)):t[l]=d.transform(f):(s||(o=xAe(e),s=!0),a.push(l),r[l]=r[l]!==void 0?r[l]:t[l],u.jump(f))}),a.length){const l=a.indexOf("height")>=0?window.pageYOffset:null,u=CAe(t,e,a);return o.length&&o.forEach(([c,d])=>{e.getValue(c).set(d)}),e.render(),VS&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function TAe(e,t,n,r){return bAe(t)?EAe(e,t,n,r):{target:t,transitionEnd:r}}const AAe=(e,t,n,r)=>{const i=vAe(e,t,r);return t=i.target,r=i.transitionEnd,TAe(e,t,n,r)},U3={current:null},eV={current:!1};function kAe(){if(eV.current=!0,!!VS)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>U3.current=e.matches;e.addListener(t),t()}else U3.current=!1}function PAe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(_o(o))e.addValue(i,o),U1(r)&&r.add(i);else if(_o(s))e.addValue(i,Zf(o,{owner:e})),U1(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,Zf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const fO=new WeakMap,tV=Object.keys(Yg),RAe=tV.length,hO=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],IAe=a4.length;class OAe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>kn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=HS(n),this.isVariantNode=BU(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...c}=this.scrapeMotionValuesFromProps(n,{});for(const d in c){const f=c[d];a[d]!==void 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pPe(e){let{acceleration:t,activator:n=Op.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=Q1.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=mPe({delta:d,disabled:!o}),[p,m]=Cke(),b=M.useRef({x:0,y:0}),_=M.useRef({x:0,y:0}),y=M.useMemo(()=>{switch(n){case Op.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Op.DraggableRect:return i}},[n,i,l]),g=M.useRef(null),v=M.useCallback(()=>{const w=g.current;if(!w)return;const x=b.current.x*_.current.x,C=b.current.y*_.current.y;w.scrollBy(x,C)},[]),S=M.useMemo(()=>a===Q1.TreeOrder?[...u].reverse():u,[a,u]);M.useEffect(()=>{if(!o||!u.length||!y){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),C=c[x];if(!C)continue;const{direction:A,speed:T}=iPe(w,C,y,t,f);for(const k of["x","y"])h[k][A[k]]||(T[k]=0,A[k]=0);if(T.x>0||T.y>0){m(),g.current=w,p(v,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,v,r,m,o,s,JSON.stringify(y),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const gPe={x:{[ti.Backward]:!1,[ti.Forward]:!1},y:{[ti.Backward]:!1,[ti.Forward]:!1}};function mPe(e){let{delta:t,disabled:n}=e;const r=W1(t);return Ym(i=>{if(n||!r||!i)return gPe;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[ti.Backward]:i.x[ti.Backward]||o.x===-1,[ti.Forward]:i.x[ti.Forward]||o.x===1},y:{[ti.Backward]:i.y[ti.Backward]||o.y===-1,[ti.Forward]:i.y[ti.Forward]||o.y===1}}},[n,t,r])}function yPe(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Ym(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function vPe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var im;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(im||(im={}));var Y3;(function(e){e.Optimized="optimized"})(Y3||(Y3={}));const EO=new Map;function _Pe(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=M.useState(null),{frequency:a,measure:l,strategy:u}=i,c=M.useRef(e),d=b(),f=tm(d),h=M.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(y=>y===null?_:y.concat(_.filter(g=>!y.includes(g))))},[f]),p=M.useRef(null),m=Ym(_=>{if(d&&!n)return EO;if(!_||_===EO||c.current!==e||o!=null){const y=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){y.set(g.id,g.rect.current);continue}const v=g.node.current,S=v?new O4(l(v),v):null;g.rect.current=S,S&&y.set(g.id,S)}return y}return _},[e,o,n,d,l]);return M.useEffect(()=>{c.current=e},[e]),M.useEffect(()=>{d||h()},[n,d]),M.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),M.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case im.Always:return!1;case im.BeforeDragging:return n;default:return!n}}}function N4(e,t){return Ym(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function bPe(e,t){return N4(e,t)}function SPe(e){let{callback:t,disabled:n}=e;const r=QS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function ZS(e){let{callback:t,disabled:n}=e;const r=QS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function wPe(e){return new O4(Zm(e),e)}function TO(e,t,n){t===void 0&&(t=wPe);const[r,i]=M.useReducer(a,null),o=SPe({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=ZS({callback:i});return Sa(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function xPe(e){const t=N4(e);return mV(e,t)}const AO=[];function CPe(e){const t=M.useRef(e),n=Ym(r=>e?r&&r!==AO&&e&&t.current&&e.parentNode===t.current.parentNode?r:I4(e):AO,[e]);return M.useEffect(()=>{t.current=e},[e]),n}function EPe(e){const[t,n]=M.useState(null),r=M.useRef(e),i=M.useCallback(o=>{const s=ex(o.target);s&&n(a=>a?(a.set(s,X3(s)),new Map(a)):null)},[]);return M.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=ex(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,X3(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=ex(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),M.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>wf(o,s),Fs):xV(e):Fs,[e,t])}function kO(e,t){t===void 0&&(t=[]);const n=M.useRef(null);return M.useEffect(()=>{n.current=null},t),M.useEffect(()=>{const r=e!==Fs;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?K1(e,n.current):Fs}function TPe(e){M.useEffect(()=>{if(!XS)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function APe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function RV(e){return M.useMemo(()=>e?ePe(e):null,[e])}const rx=[];function kPe(e,t){t===void 0&&(t=Zm);const[n]=e,r=RV(n?eo(n):null),[i,o]=M.useReducer(a,rx),s=ZS({callback:o});return e.length>0&&i===rx&&o(),Sa(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>SV(l)?r:new O4(t(l),l)):rx}}function IV(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Qm(t)?t:e}function PPe(e){let{measure:t}=e;const[n,r]=M.useState(null),i=M.useCallback(u=>{for(const{target:c}of u)if(Qm(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=ZS({callback:i}),s=M.useCallback(u=>{const c=IV(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=q1(s);return M.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const RPe=[{sensor:AV,options:{}},{sensor:TV,options:{}}],IPe={current:{}},J0={draggable:{measure:SO},droppable:{measure:SO,strategy:im.WhileDragging,frequency:Y3.Optimized},dragOverlay:{measure:Zm}};class Mp extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const OPe={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Mp,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:X1},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:J0,measureDroppableContainers:X1,windowRect:null,measuringScheduled:!1},OV={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:X1,draggableNodes:new Map,over:null,measureDroppableContainers:X1},Jm=M.createContext(OV),MV=M.createContext(OPe);function MPe(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new Mp}}}function NPe(e,t){switch(t.type){case Fr.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case Fr.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case Fr.DragEnd:case Fr.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case Fr.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new Mp(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case Fr.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const s=new Mp(e.droppable.containers);return s.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:s}}}case Fr.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new Mp(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function DPe(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=M.useContext(Jm),o=W1(r),s=W1(n==null?void 0:n.id);return M.useEffect(()=>{if(!t&&!r&&o&&s!=null){if(!R4(o)||document.activeElement===o.target)return;const a=i.get(s);if(!a)return;const{activatorNode:l,node:u}=a;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=Ake(c);if(d){d.focus();break}}})}},[r,t,i,s,o]),null}function NV(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function LPe(e){return M.useMemo(()=>({draggable:{...J0.draggable,...e==null?void 0:e.draggable},droppable:{...J0.droppable,...e==null?void 0:e.droppable},dragOverlay:{...J0.dragOverlay,...e==null?void 0:e.dragOverlay}}),[e==null?void 0:e.draggable,e==null?void 0:e.droppable,e==null?void 0:e.dragOverlay])}function $Pe(e){let{activeNode:t,measure:n,initialRect:r,config:i=!0}=e;const o=M.useRef(!1),{x:s,y:a}=typeof i=="boolean"?{x:i,y:i}:i;Sa(()=>{if(!s&&!a||!t){o.current=!1;return}if(o.current||!r)return;const u=t==null?void 0:t.node.current;if(!u||u.isConnected===!1)return;const c=n(u),d=mV(c,r);if(s||(d.x=0),a||(d.y=0),o.current=!0,Math.abs(d.x)>0||Math.abs(d.y)>0){const f=vV(u);f&&f.scrollBy({top:d.y,left:d.x})}},[t,s,a,r,n])}const JS=M.createContext({...Fs,scaleX:1,scaleY:1});var Nl;(function(e){e[e.Uninitialized=0]="Uninitialized",e[e.Initializing=1]="Initializing",e[e.Initialized=2]="Initialized"})(Nl||(Nl={}));const FPe=M.memo(function(t){var n,r,i,o;let{id:s,accessibility:a,autoScroll:l=!0,children:u,sensors:c=RPe,collisionDetection:d=qke,measuring:f,modifiers:h,...p}=t;const m=M.useReducer(NPe,void 0,MPe),[b,_]=m,[y,g]=Nke(),[v,S]=M.useState(Nl.Uninitialized),w=v===Nl.Initialized,{draggable:{active:x,nodes:C,translate:A},droppable:{containers:T}}=b,k=x?C.get(x):null,L=M.useRef({initial:null,translated:null}),N=M.useMemo(()=>{var On;return x!=null?{id:x,data:(On=k==null?void 0:k.data)!=null?On:IPe,rect:L}:null},[x,k]),E=M.useRef(null),[P,D]=M.useState(null),[B,R]=M.useState(null),I=tm(p,Object.values(p)),O=YS("DndDescribedBy",s),F=M.useMemo(()=>T.getEnabled(),[T]),U=LPe(f),{droppableRects:V,measureDroppableContainers:H,measuringScheduled:Y}=_Pe(F,{dragging:w,dependencies:[A.x,A.y],config:U.droppable}),Q=yPe(C,x),j=M.useMemo(()=>B?nm(B):null,[B]),K=Aa(),te=bPe(Q,U.draggable.measure);$Pe({activeNode:x?C.get(x):null,config:K.layoutShiftCompensation,initialRect:te,measure:U.draggable.measure});const oe=TO(Q,U.draggable.measure,te),me=TO(Q?Q.parentElement:null),le=M.useRef({activatorEvent:null,active:null,activeNode:Q,collisionRect:null,collisions:null,droppableRects:V,draggableNodes:C,draggingNode:null,draggingNodeRect:null,droppableContainers:T,over:null,scrollableAncestors:[],scrollAdjustedTranslate:null}),ht=T.getNodeFor((n=le.current.over)==null?void 0:n.id),nt=PPe({measure:U.dragOverlay.measure}),$e=(r=nt.nodeRef.current)!=null?r:Q,ct=w?(i=nt.rect)!=null?i:oe:null,Pe=!!(nt.nodeRef.current&&nt.rect),qt=xPe(Pe?null:oe),Sr=RV($e?eo($e):null),Pn=CPe(w?ht??Q:null),bn=kPe(Pn),Wt=NV(h,{transform:{x:A.x-qt.x,y:A.y-qt.y,scaleX:1,scaleY:1},activatorEvent:B,active:N,activeNodeRect:oe,containerNodeRect:me,draggingNodeRect:ct,over:le.current.over,overlayNodeRect:nt.rect,scrollableAncestors:Pn,scrollableAncestorRects:bn,windowRect:Sr}),Rn=j?wf(j,A):null,wr=EPe(Pn),to=kO(wr),Gr=kO(wr,[oe]),ar=wf(Wt,to),Or=ct?Yke(ct,Wt):null,Hr=N&&Or?d({active:N,collisionRect:Or,droppableRects:V,droppableContainers:F,pointerCoordinates:Rn}):null,In=Gke(Hr,"id"),[dn,Ci]=M.useState(null),si=Pe?Wt:wf(Wt,Gr),ji=Xke(si,(o=dn==null?void 0:dn.rect)!=null?o:null,oe),ps=M.useCallback((On,Kt)=>{let{sensor:Mr,options:Cr}=Kt;if(E.current==null)return;const Er=C.get(E.current);if(!Er)return;const qr=On.nativeEvent,Ei=new Mr({active:E.current,activeNode:Er,event:qr,options:Cr,context:le,onStart(ai){const Nr=E.current;if(Nr==null)return;const gs=C.get(Nr);if(!gs)return;const{onDragStart:Vs}=I.current,li={active:{id:Nr,data:gs.data,rect:L}};Cs.unstable_batchedUpdates(()=>{Vs==null||Vs(li),S(Nl.Initializing),_({type:Fr.DragStart,initialCoordinates:ai,active:Nr}),y({type:"onDragStart",event:li})})},onMove(ai){_({type:Fr.DragMove,coordinates:ai})},onEnd:ro(Fr.DragEnd),onCancel:ro(Fr.DragCancel)});Cs.unstable_batchedUpdates(()=>{D(Ei),R(On.nativeEvent)});function ro(ai){return async function(){const{active:gs,collisions:Vs,over:li,scrollAdjustedTranslate:_l}=le.current;let zo=null;if(gs&&_l){const{cancelDrop:Wr}=I.current;zo={activatorEvent:qr,active:gs,collisions:Vs,delta:_l,over:li},ai===Fr.DragEnd&&typeof Wr=="function"&&await Promise.resolve(Wr(zo))&&(ai=Fr.DragCancel)}E.current=null,Cs.unstable_batchedUpdates(()=>{_({type:ai}),S(Nl.Uninitialized),Ci(null),D(null),R(null);const Wr=ai===Fr.DragEnd?"onDragEnd":"onDragCancel";if(zo){const ka=I.current[Wr];ka==null||ka(zo),y({type:Wr,event:zo})}})}}},[C]),xr=M.useCallback((On,Kt)=>(Mr,Cr)=>{const Er=Mr.nativeEvent,qr=C.get(Cr);if(E.current!==null||!qr||Er.dndKit||Er.defaultPrevented)return;const Ei={active:qr};On(Mr,Kt.options,Ei)===!0&&(Er.dndKit={capturedBy:Kt.sensor},E.current=Cr,ps(Mr,Kt))},[C,ps]),no=vPe(c,xr);TPe(c),Sa(()=>{oe&&v===Nl.Initializing&&S(Nl.Initialized)},[oe,v]),M.useEffect(()=>{const{onDragMove:On}=I.current,{active:Kt,activatorEvent:Mr,collisions:Cr,over:Er}=le.current;if(!Kt||!Mr)return;const qr={active:Kt,activatorEvent:Mr,collisions:Cr,delta:{x:ar.x,y:ar.y},over:Er};Cs.unstable_batchedUpdates(()=>{On==null||On(qr),y({type:"onDragMove",event:qr})})},[ar.x,ar.y]),M.useEffect(()=>{const{active:On,activatorEvent:Kt,collisions:Mr,droppableContainers:Cr,scrollAdjustedTranslate:Er}=le.current;if(!On||E.current==null||!Kt||!Er)return;const{onDragOver:qr}=I.current,Ei=Cr.get(In),ro=Ei&&Ei.rect.current?{id:Ei.id,rect:Ei.rect.current,data:Ei.data,disabled:Ei.disabled}:null,ai={active:On,activatorEvent:Kt,collisions:Mr,delta:{x:Er.x,y:Er.y},over:ro};Cs.unstable_batchedUpdates(()=>{Ci(ro),qr==null||qr(ai),y({type:"onDragOver",event:ai})})},[In]),Sa(()=>{le.current={activatorEvent:B,active:N,activeNode:Q,collisionRect:Or,collisions:Hr,droppableRects:V,draggableNodes:C,draggingNode:$e,draggingNodeRect:ct,droppableContainers:T,over:dn,scrollableAncestors:Pn,scrollAdjustedTranslate:ar},L.current={initial:ct,translated:Or}},[N,Q,Hr,Or,C,$e,ct,V,T,dn,Pn,ar]),pPe({...K,delta:A,draggingRect:Or,pointerCoordinates:Rn,scrollableAncestors:Pn,scrollableAncestorRects:bn});const Ta=M.useMemo(()=>({active:N,activeNode:Q,activeNodeRect:oe,activatorEvent:B,collisions:Hr,containerNodeRect:me,dragOverlay:nt,draggableNodes:C,droppableContainers:T,droppableRects:V,over:dn,measureDroppableContainers:H,scrollableAncestors:Pn,scrollableAncestorRects:bn,measuringConfiguration:U,measuringScheduled:Y,windowRect:Sr}),[N,Q,oe,B,Hr,me,nt,C,T,V,dn,H,Pn,bn,U,Y,Sr]),bo=M.useMemo(()=>({activatorEvent:B,activators:no,active:N,activeNodeRect:oe,ariaDescribedById:{draggable:O},dispatch:_,draggableNodes:C,over:dn,measureDroppableContainers:H}),[B,no,N,oe,_,O,C,dn,H]);return vn.createElement(gV.Provider,{value:g},vn.createElement(Jm.Provider,{value:bo},vn.createElement(MV.Provider,{value:Ta},vn.createElement(JS.Provider,{value:ji},u)),vn.createElement(DPe,{disabled:(a==null?void 0:a.restoreFocus)===!1})),vn.createElement($ke,{...a,hiddenTextDescribedById:O}));function Aa(){const On=(P==null?void 0:P.autoScrollEnabled)===!1,Kt=typeof 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diff --git a/invokeai/frontend/web/dist/assets/menu-5f867375.js b/invokeai/frontend/web/dist/assets/menu-c9cc8c3d.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/menu-5f867375.js
rename to invokeai/frontend/web/dist/assets/menu-c9cc8c3d.js
index 976e55c044..71ceb87707 100644
--- a/invokeai/frontend/web/dist/assets/menu-5f867375.js
+++ b/invokeai/frontend/web/dist/assets/menu-c9cc8c3d.js
@@ -1 +1 @@
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diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index 55f290eed1..db8fa11747 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-cd3a0781.js"></script>
+    <script type="module" crossorigin src="./assets/index-f6c3f475.js"></script>
   </head>
 
   <body dir="ltr">
diff --git a/invokeai/frontend/web/dist/locales/en.json b/invokeai/frontend/web/dist/locales/en.json
index c1983c6a53..881e531701 100644
--- a/invokeai/frontend/web/dist/locales/en.json
+++ b/invokeai/frontend/web/dist/locales/en.json
@@ -49,6 +49,7 @@
         "close": "Close",
         "communityLabel": "Community",
         "controlNet": "Controlnet",
+        "ipAdapter": "IP Adapter",
         "darkMode": "Dark Mode",
         "discordLabel": "Discord",
         "dontAskMeAgain": "Don't ask me again",
@@ -191,7 +192,11 @@
         "showAdvanced": "Show Advanced",
         "toggleControlNet": "Toggle this ControlNet",
         "w": "W",
-        "weight": "Weight"
+        "weight": "Weight",
+        "enableIPAdapter": "Enable IP Adapter",
+        "ipAdapterModel": "Adapter Model",
+        "resetIPAdapterImage": "Reset IP Adapter Image",
+        "ipAdapterImageFallback": "No IP Adapter Image Selected"
     },
     "embedding": {
         "addEmbedding": "Add Embedding",
@@ -619,56 +624,174 @@
         "addNodeToolTip": "Add Node (Shift+A, Space)",
         "animatedEdges": "Animated Edges",
         "animatedEdgesHelp": "Animate selected edges and edges connected to selected nodes",
+        "boolean": "Booleans",
+        "booleanCollection": "Boolean Collection",
+        "booleanCollectionDescription": "A collection of booleans.",
+        "booleanDescription": "Booleans are true or false.",
+        "booleanPolymorphic": "Boolean Polymorphic",
+        "booleanPolymorphicDescription": "A collection of booleans.",
         "cannotConnectInputToInput": "Cannot connect input to input",
         "cannotConnectOutputToOutput": "Cannot connect output to output",
         "cannotConnectToSelf": "Cannot connect to self",
+        "clipField": "Clip",
+        "clipFieldDescription": "Tokenizer and text_encoder submodels.",
+        "collection": "Collection",
+        "collectionDescription": "TODO",
+        "collectionItem": "Collection Item",
+        "collectionItemDescription": "TODO",
         "colorCodeEdges": "Color-Code Edges",
         "colorCodeEdgesHelp": "Color-code edges according to their connected fields",
+        "colorCollectionDescription": "A collection of colors.",
+        "colorField": "Color",
+        "colorFieldDescription": "A RGBA color.",
+        "colorPolymorphic": "Color Polymorphic",
+        "colorPolymorphicDescription": "A collection of colors.",
+        "conditioningCollection": "Conditioning Collection",
+        "conditioningCollectionDescription": "Conditioning may be passed between nodes.",
+        "conditioningField": "Conditioning",
+        "conditioningFieldDescription": "Conditioning may be passed between nodes.",
+        "conditioningPolymorphic": "Conditioning Polymorphic",
+        "conditioningPolymorphicDescription": "Conditioning may be passed between nodes.",
         "connectionWouldCreateCycle": "Connection would create a cycle",
+        "controlCollection": "Control Collection",
+        "controlCollectionDescription": "Control info passed between nodes.",
+        "controlField": "Control",
+        "controlFieldDescription": "Control info passed between nodes.",
         "currentImage": "Current Image",
         "currentImageDescription": "Displays the current image in the Node Editor",
+        "denoiseMaskField": "Denoise Mask",
+        "denoiseMaskFieldDescription": "Denoise Mask may be passed between nodes",
+        "doesNotExist": "does not exist",
         "downloadWorkflow": "Download Workflow JSON",
+        "edge": "Edge",
+        "enum": "Enum",
+        "enumDescription": "Enums are values that may be one of a number of options.",
+        "executionStateCompleted": "Completed",
+        "executionStateError": "Error",
+        "executionStateInProgress": "In Progress",
         "fieldTypesMustMatch": "Field types must match",
         "fitViewportNodes": "Fit View",
+        "float": "Float",
+        "floatCollection": "Float Collection",
+        "floatCollectionDescription": "A collection of floats.",
+        "floatDescription": "Floats are numbers with a decimal point.",
+        "floatPolymorphic": "Float Polymorphic",
+        "floatPolymorphicDescription": "A collection of floats.",
         "fullyContainNodes": "Fully Contain Nodes to Select",
         "fullyContainNodesHelp": "Nodes must be fully inside the selection box to be selected",
         "hideGraphNodes": "Hide Graph Overlay",
         "hideLegendNodes": "Hide Field Type Legend",
         "hideMinimapnodes": "Hide MiniMap",
+        "imageCollection": "Image Collection",
+        "imageCollectionDescription": "A collection of images.",
+        "imageField": "Image",
+        "imageFieldDescription": "Images may be passed between nodes.",
+        "imagePolymorphic": "Image Polymorphic",
+        "imagePolymorphicDescription": "A collection of images.",
+        "inputFields": "Input Feilds",
         "inputMayOnlyHaveOneConnection": "Input may only have one connection",
+        "inputNode": "Input Node",
+        "integer": "Integer",
+        "integerCollection": "Integer Collection",
+        "integerCollectionDescription": "A collection of integers.",
+        "integerDescription": "Integers are whole numbers, without a decimal point.",
+        "integerPolymorphic": "Integer Polymorphic",
+        "integerPolymorphicDescription": "A collection of integers.",
+        "invalidOutputSchema": "Invalid output schema",
+        "latentsCollection": "Latents Collection",
+        "latentsCollectionDescription": "Latents may be passed between nodes.",
+        "latentsField": "Latents",
+        "latentsFieldDescription": "Latents may be passed between nodes.",
+        "latentsPolymorphic": "Latents Polymorphic",
+        "latentsPolymorphicDescription": "Latents may be passed between nodes.",
         "loadingNodes": "Loading Nodes...",
         "loadWorkflow": "Load Workflow",
+        "loRAModelField": "LoRA",
+        "loRAModelFieldDescription": "TODO",
+        "mainModelField": "Model",
+        "mainModelFieldDescription": "TODO",
+        "maybeIncompatible": "May be Incompatible With Installed",
+        "mismatchedVersion": "Has Mismatched Version",
+        "missingCanvaInitImage": "Missing canvas init image",
+        "missingCanvaInitMaskImages": "Missing canvas init and mask images",
+        "missingTemplate": "Missing Template",
         "noConnectionData": "No connection data",
         "noConnectionInProgress": "No connection in progress",
+        "node": "Node",
         "nodeOutputs": "Node Outputs",
         "nodeSearch": "Search for nodes",
         "nodeTemplate": "Node Template",
+        "nodeType": "Node Type",
         "noFieldsLinearview": "No fields added to Linear View",
         "noFieldType": "No field type",
+        "noImageFoundState": "No initial image found in state",
         "noMatchingNodes": "No matching nodes",
         "noNodeSelected": "No node selected",
         "noOpacity": "Node Opacity",
         "noOutputRecorded": "No outputs recorded",
+        "noOutputSchemaName": "No output schema name found in ref object",
         "notes": "Notes",
         "notesDescription": "Add notes about your workflow",
+        "oNNXModelField": "ONNX Model",
+        "oNNXModelFieldDescription": "ONNX model field.",
+        "outputFields": "Output Feilds",
+        "outputNode": "Output node",
+        "outputSchemaNotFound": "Output schema not found",
         "pickOne": "Pick One",
+        "problemReadingMetadata": "Problem reading metadata from image",
+        "problemReadingWorkflow": "Problem reading workflow from image",
         "problemSettingTitle": "Problem Setting Title",
         "reloadNodeTemplates": "Reload Node Templates",
         "removeLinearView": "Remove from Linear View",
         "resetWorkflow": "Reset Workflow",
         "resetWorkflowDesc": "Are you sure you want to reset this workflow?",
         "resetWorkflowDesc2": "Resetting the workflow will clear all nodes, edges and workflow details.",
+        "scheduler": "Scheduler",
+        "schedulerDescription": "TODO",
+        "sDXLMainModelField": "SDXL Model",
+        "sDXLMainModelFieldDescription": "SDXL model field.",
+        "sDXLRefinerModelField": "Refiner Model",
+        "sDXLRefinerModelFieldDescription": "TODO",
         "showGraphNodes": "Show Graph Overlay",
         "showLegendNodes": "Show Field Type Legend",
         "showMinimapnodes": "Show MiniMap",
+        "skipped": "Skipped",
+        "skippedReservedInput": "Skipped reserved input field",
+        "skippedReservedOutput": "Skipped reserved output field",
+        "skippingInputNoTemplate": "Skipping input field with no template",
+        "skippingReservedFieldType": "Skipping reserved field type",
+        "skippingUnknownInputType": "Skipping unknown input field type",
+        "skippingUnknownOutputType": "Skipping unknown output field type",
         "snapToGrid": "Snap to Grid",
         "snapToGridHelp": "Snap nodes to grid when moved",
+        "sourceNode": "Source node",
+        "string": "String",
+        "stringCollection": "String Collection",
+        "stringCollectionDescription": "A collection of strings.",
+        "stringDescription": "Strings are text.",
+        "stringPolymorphic": "String Polymorphic",
+        "stringPolymorphicDescription": "A collection of strings.",
         "unableToLoadWorkflow": "Unable to Validate Workflow",
+        "unableToParseEdge": "Unable to parse edge",
+        "unableToParseNode": "Unable to parse node",
         "unableToValidateWorkflow": "Unable to Validate Workflow",
+        "uNetField": "UNet",
+        "uNetFieldDescription": "UNet submodel.",
+        "unhandledInputProperty": "Unhandled input property",
+        "unhandledOutputProperty": "Unhandled output property",
         "unknownField": "Unknown Field",
+        "unknownNode": "Unknown Node",
+        "unknownTemplate": "Unknown Template",
         "unkownInvocation": "Unknown Invocation type",
+        "updateApp": "Update App",
+        "vaeField": "Vae",
+        "vaeFieldDescription": "Vae submodel.",
+        "vaeModelField": "VAE",
+        "vaeModelFieldDescription": "TODO",
         "validateConnections": "Validate Connections and Graph",
         "validateConnectionsHelp": "Prevent invalid connections from being made, and invalid graphs from being invoked",
+        "version": "Version",
+        "versionUnknown": " Version Unknown",
         "workflow": "Workflow",
         "workflowAuthor": "Author",
         "workflowContact": "Contact",
@@ -680,15 +803,7 @@
         "workflowValidation": "Workflow Validation Error",
         "workflowVersion": "Version",
         "zoomInNodes": "Zoom In",
-        "zoomOutNodes": "Zoom Out",
-        "executionStateError": "Error",
-        "executionStateCompleted": "Completed",
-        "executionStateInProgress": "In Progress",
-        "versionUnknown": " Version Unknown",
-        "unknownNode": "Unknown Node",
-        "version": "Version",
-        "updateApp": "Update App",
-        "unknownTemplate": "Unknown Template"
+        "zoomOutNodes": "Zoom Out"
     },
     "parameters": {
         "aspectRatio": "Ratio",
@@ -853,8 +968,14 @@
         "useSlidersForAll": "Use Sliders For All Options"
     },
     "toast": {
+        "addedToBoard": "Added to board",
+        "baseModelChangedCleared": "Base model changed, cleared",
         "canceled": "Processing Canceled",
+        "canvasCopiedClipboard": "Canvas Copied to Clipboard",
+        "canvasDownloaded": "Canvas Downloaded",
         "canvasMerged": "Canvas Merged",
+        "canvasSavedGallery": "Canvas Saved to Gallery",
+        "canvasSentControlnetAssets": "Canvas Sent to ControlNet & Assets",
         "connected": "Connected to Server",
         "disconnected": "Disconnected from Server",
         "downloadImageStarted": "Image Download Started",
@@ -863,10 +984,18 @@
         "imageLinkCopied": "Image Link Copied",
         "imageNotLoaded": "No Image Loaded",
         "imageNotLoadedDesc": "Could not find image",
+        "imageSaved": "Image Saved",
         "imageSavedToGallery": "Image Saved to Gallery",
+        "imageSavingFailed": "Image Saving Failed",
+        "imageUploaded": "Image Uploaded",
+        "imageUploadFailed": "Image Upload Failed",
+        "incompatibleSubmodel": "incompatible submodel",
         "initialImageNotSet": "Initial Image Not Set",
         "initialImageNotSetDesc": "Could not load initial image",
         "initialImageSet": "Initial Image Set",
+        "loadedWithWarnings": "Workflow Loaded with Warnings",
+        "maskSavedAssets": "Mask Saved to Assets",
+        "maskSentControlnetAssets": "Mask Sent to ControlNet & Assets",
         "metadataLoadFailed": "Failed to load metadata",
         "modelAdded": "Model Added: {{modelName}}",
         "modelAddedSimple": "Model Added",
@@ -887,8 +1016,20 @@
         "parametersNotSet": "Parameters Not Set",
         "parametersNotSetDesc": "No metadata found for this image.",
         "parametersSet": "Parameters Set",
+        "problemCopyingCanvas": "Problem Copying Canvas",
+        "problemCopyingCanvasDesc": "Unable to export base layer",
         "problemCopyingImage": "Unable to Copy Image",
         "problemCopyingImageLink": "Unable to Copy Image Link",
+        "problemDownloadingCanvas": "Problem Downloading Canvas",
+        "problemDownloadingCanvasDesc": "Unable to export base layer",
+        "problemImportingMask": "Problem Importing Mask",
+        "problemImportingMaskDesc": "Unable to export mask",
+        "problemMergingCanvas": "Problem Merging Canvas",
+        "problemMergingCanvasDesc": "Unable to export base layer",
+        "problemSavingCanvas": "Problem Saving Canvas",
+        "problemSavingCanvasDesc": "Unable to export base layer",
+        "problemSavingMask": "Problem Saving Mask",
+        "problemSavingMaskDesc": "Unable to export mask",
         "promptNotSet": "Prompt Not Set",
         "promptNotSetDesc": "Could not find prompt for this image.",
         "promptSet": "Prompt Set",
@@ -898,11 +1039,17 @@
         "sentToImageToImage": "Sent To Image To Image",
         "sentToUnifiedCanvas": "Sent to Unified Canvas",
         "serverError": "Server Error",
+        "setCanvasInitialImage": "Set as canvas initial image",
+        "setControlImage": "Set as control image",
+        "setIPAdapterImage": "Set as IP Adapter Image",
+        "setInitialImage": "Set as initial image",
+        "setNodeField": "Set as node field",
         "tempFoldersEmptied": "Temp Folder Emptied",
         "uploadFailed": "Upload failed",
         "uploadFailedInvalidUploadDesc": "Must be single PNG or JPEG image",
         "uploadFailedUnableToLoadDesc": "Unable to load file",
-        "upscalingFailed": "Upscaling Failed"
+        "upscalingFailed": "Upscaling Failed",
+        "workflowLoaded": "Workflow Loaded"
     },
     "tooltip": {
         "feature": {

From 977e348a3502cf06ad24ebe57f1d758873a791d8 Mon Sep 17 00:00:00 2001
From: skunkworxdark <neil_hodgson@hotmail.com>
Date: Wed, 20 Sep 2023 05:24:55 +0100
Subject: [PATCH 194/265] Update communityNodes.md with Prompt Tools & XY grid
 nodes(#4446)

* Update communityNodes.md

Adding Prompt Tools and XY grid nodes

* Update communityNodes.md

Added the new PromptStrength and PromptStrengthCombine Nodes

---------

Co-authored-by: Millun Atluri <Millu@users.noreply.github.com>
---
 docs/nodes/communityNodes.md | 34 ++++++++++++++++++++++++++++++++++
 1 file changed, 34 insertions(+)

diff --git a/docs/nodes/communityNodes.md b/docs/nodes/communityNodes.md
index c48c971098..2b30b9f0af 100644
--- a/docs/nodes/communityNodes.md
+++ b/docs/nodes/communityNodes.md
@@ -196,6 +196,40 @@ Results after using the depth controlnet
 
 --------------------------------
 
+### Prompt Tools 
+
+**Description:** A set of InvokeAI nodes that add general prompt manipulation tools.  These where written to accompany the PromptsFromFile node and other prompt generation nodes.
+
+1. PromptJoin - Joins to prompts into one.
+2. PromptReplace - performs a search and replace on a prompt. With the option of using regex.
+3. PromptSplitNeg - splits a prompt into positive and negative using the old V2 method of [] for negative.
+4. PromptToFile - saves a prompt or collection of prompts to a file. one per line. There is an append/overwrite option.
+5. PTFieldsCollect - Converts image generation fields into a Json format string that can be passed to Prompt to file. 
+6. PTFieldsExpand - Takes Json string and converts it to individual generation parameters This can be fed from the Prompts to file node.
+7. PromptJoinThree -  Joins 3 prompt together.
+8. PromptStrength - This take a string and float and outputs another string in the format of (string)strength like the weighted format of compel. 
+9. PromptStrengthCombine - This takes a collection of prompt strength strings and outputs a string in the .and() or .blend() format that can be fed into a proper prompt node.
+
+See full docs here: https://github.com/skunkworxdark/Prompt-tools-nodes/edit/main/README.md
+
+**Node Link:** https://github.com/skunkworxdark/Prompt-tools-nodes
+
+--------------------------------
+
+### XY Image to Grid and Images to Grids nodes
+
+**Description:** Image to grid nodes and supporting tools.
+
+1. "Images To Grids" node - Takes a collection of images and creates a grid(s) of images. If there are more images than the size of a single grid then mutilple grids will be created until it runs out of images.
+2. "XYImage To Grid" node - Converts a collection of XYImages into a labeled Grid of images.  The XYImages collection has to be built using the supporoting nodes. See example node setups for more details.
+   
+
+See full docs here: https://github.com/skunkworxdark/XYGrid_nodes/edit/main/README.md
+
+**Node Link:** https://github.com/skunkworxdark/XYGrid_nodes
+
+--------------------------------
+
 ### Example Node Template
 
 **Description:** This node allows you to do super cool things with InvokeAI.

From b7938d9ca945489e94059dac5be144026bdda90c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 20 Sep 2023 15:09:24 +1000
Subject: [PATCH 195/265] feat: queued generation (#4502)

* fix(config): fix typing issues in `config/`

`config/invokeai_config.py`:
- use `Optional` for things that are optional
- fix typing of `ram_cache_size()` and `vram_cache_size()`
- remove unused and incorrectly typed method `autoconvert_path`
- fix types and logic for `parse_args()`, in which `InvokeAIAppConfig.initconf` *must* be a `DictConfig`, but function would allow it to be set as a `ListConfig`, which presumably would cause issues elsewhere

`config/base.py`:
- use `cls` for first arg of class methods
- use `Optional` for things that are optional
- fix minor type issue related to setting of `env_prefix`
- remove unused `add_subparser()` method, which calls `add_parser()` on an `ArgumentParser` (method only available on the `_SubParsersAction` object, which is returned from ArgumentParser.add_subparsers()`)

* feat: queued generation and batches

Due to a very messy branch with broad addition of `isort` on `main` alongside it, some git surgery was needed to get an agreeable git history. This commit represents all of the work on queued generation. See PR for notes.

* chore: flake8, isort, black

* fix(nodes): fix incorrect service stop() method

* fix(nodes): improve names of a few variables

* fix(tests): fix up tests after changes to batches/queue

* feat(tests): add unit tests for session queue helper functions

* feat(ui): dynamic prompts is always enabled

* feat(queue): add queue_status_changed event

* feat(ui): wip queue graphs

* feat(nodes): move cleanup til after invoker startup

* feat(nodes): add cancel_by_batch_ids

* feat(ui): wip batch graphs & UI

* fix(nodes): remove `Batch.batch_id` from required

* fix(ui): cleanup and use fixedCacheKey for all mutations

* fix(ui): remove orphaned nodes from canvas graphs

* fix(nodes): fix cancel_by_batch_ids result count

* fix(ui): only show cancel batch tooltip when batches were canceled

* chore: isort

* fix(api): return `[""]` when dynamic prompts generates no prompts

Just a simple fallback so we always have a prompt.

* feat(ui): dynamicPrompts.combinatorial is always on

There seems to be little purpose in using the combinatorial generation for dynamic prompts. I've disabled it by hiding it from the UI and defaulting combinatorial to true. If we want to enable it again in the future it's straightforward to do so.

* feat: add queue_id & support logic

* feat(ui): fix upscale button

It prepends the upscale operation to queue

* feat(nodes): return queue item when enqueuing a single graph

This facilitates one-off graph async workflows in the client.

* feat(ui): move controlnet autoprocess to queue

* fix(ui): fix non-serializable DOMRect in redux state

* feat(ui): QueueTable performance tweaks

* feat(ui): update queue list

Queue items expand to show the full queue item. Just as JSON for now.

* wip threaded session_processor

* feat(nodes,ui): fully migrate queue to session_processor

* feat(nodes,ui): add processor events

* feat(ui): ui tweaks

* feat(nodes,ui): consolidate events, reduce network requests

* feat(ui): cleanup & abstract queue hooks

* feat(nodes): optimize batch permutation

Use a generator to do only as much work as is needed.

Previously, though we only ended up creating exactly as many queue items as was needed, there was still some intermediary work that calculated *all* permutations. When that number was very high, the system had a very hard time and used a lot of memory.

The logic has been refactored to use a generator. Additionally, the batch validators are optimized to return early and use less memory.

* feat(ui): add seed behaviour parameter

This dynamic prompts parameter allows the seed to be randomized per prompt or per iteration:
- Per iteration: Use the same seed for all prompts in a single dynamic prompt expansion
- Per prompt: Use a different seed for every single prompt

"Per iteration" is appropriate for exploring a the latents space with a stable starting noise, while "Per prompt" provides more variation.

* fix(ui): remove extraneous random seed nodes from linear graphs

* fix(ui): fix controlnet autoprocess not working when queue is running

* feat(queue): add timestamps to queue status updates

Also show execution time in queue list

* feat(queue): change all execution-related events to use the `queue_id` as the room, also include `queue_item_id` in InvocationQueueItem

This allows for much simpler handling of queue items.

* feat(api): deprecate sessions router

* chore(backend): tidy logging in `dependencies.py`

* fix(backend): respect `use_memory_db`

* feat(backend): add `config.log_sql` (enables sql trace logging)

* feat: add invocation cache

Supersedes #4574

The invocation cache provides simple node memoization functionality. Nodes that use the cache are memoized and not re-executed if their inputs haven't changed. Instead, the stored output is returned.

## Results

This feature provides anywhere some significant to massive performance improvement.

The improvement is most marked on large batches of generations where you only change a couple things (e.g. different seed or prompt for each iteration) and low-VRAM systems, where skipping an extraneous model load is a big deal.

## Overview

A new `invocation_cache` service is added to handle the caching. There's not much to it.

All nodes now inherit a boolean `use_cache` field from `BaseInvocation`. This is a node field and not a class attribute, because specific instances of nodes may want to opt in or out of caching.

The recently-added `invoke_internal()` method on `BaseInvocation` is used as an entrypoint for the cache logic.

To create a cache key, the invocation is first serialized using pydantic's provided `json()` method, skipping the unique `id` field. Then python's very fast builtin `hash()` is used to create an integer key. All implementations of `InvocationCacheBase` must provide a class method `create_key()` which accepts an invocation and outputs a string or integer key.

## In-Memory Implementation

An in-memory implementation is provided. In this implementation, the node outputs are stored in memory as python classes. The in-memory cache does not persist application restarts.

Max node cache size is added as `node_cache_size` under the `Generation` config category.

It defaults to 512 - this number is up for discussion, but given that these are relatively lightweight pydantic models, I think it's safe to up this even higher.

Note that the cache isn't storing the big stuff - tensors and images are store on disk, and outputs include only references to them.

## Node Definition

The default for all nodes is to use the cache. The `@invocation` decorator now accepts an optional `use_cache: bool` argument to override the default of `True`.

Non-deterministic nodes, however, should set this to `False`. Currently, all random-stuff nodes, including `dynamic_prompt`, are set to `False`.

The field name `use_cache` is now effectively a reserved field name and possibly a breaking change if any community nodes use this as a field name. In hindsight, all our reserved field names should have been prefixed with underscores or something.

## One Gotcha

Leaf nodes probably want to opt out of the cache, because if they are not cached, their outputs are not saved again.

If you run the same graph multiple times, you only end up with a single image output, because the image storage side-effects are in the `invoke()` method, which is bypassed if we have a cache hit.

## Linear UI

The linear graphs _almost_ just work, but due to the gotcha, we need to be careful about the final image-outputting node. To resolve this, a `SaveImageInvocation` node is added and used in the linear graphs.

This node is similar to `ImagePrimitive`, except it saves a copy of its input image, and has `use_cache` set to `False` by default.

This is now the leaf node in all linear graphs, and is the only node in those graphs with `use_cache == False` _and_ the only node with `is_intermedate == False`.

## Workflow Editor

All nodes now have a footer with a new `Use Cache [ ]` checkbox. It defaults to the value set by the invocation in its python definition, but can be changed by the user.

The workflow/node validation logic has been updated to migrate old workflows to use the new default values for `use_cache`. Users may still want to review the settings that have been chosen. In the event of catastrophic failure when running this migration, the default value of `True` is applied, as this is correct for most nodes.

Users should consider saving their workflows after loading them in and having them updated.

## Future Enhancements - Callback

A future enhancement would be to provide a callback to the `use_cache` flag that would be run as the node is executed to determine, based on its own internal state, if the cache should be used or not.

This would be useful for `DynamicPromptInvocation`, where the deterministic behaviour is determined by the `combinatorial: bool` field.

## Future Enhancements - Persisted Cache

Similar to how the latents storage is backed by disk, the invocation cache could be persisted to the database or disk. We'd need to be very careful about deserializing outputs, but it's perhaps worth exploring in the future.

* fix(ui): fix queue list item width

* feat(nodes): do not send the whole node on every generator progress

* feat(ui): strip out old logic related to sessions

Things like `isProcessing` are no longer relevant with queue. Removed them all & updated everything be appropriate for queue. May be a few little quirks I've missed...

* feat(ui): fix up param collapse labels

* feat(ui): click queue count to go to queue tab

* tidy(queue): update comment, query format

* feat(ui): fix progress bar when canceling

* fix(ui): fix circular dependency

* feat(nodes): bail on node caching logic if `node_cache_size == 0`

* feat(nodes): handle KeyError on node cache pop

* feat(nodes): bypass cache codepath if caches is disabled

more better no do thing

* fix(ui): reset api cache on connect/disconnect

* feat(ui): prevent enqueue when no prompts generated

* feat(ui): add queue controls to workflow editor

* feat(ui): update floating buttons & other incidental UI tweaks

* fix(ui): fix missing/incorrect translation keys

* fix(tests): add config service to mock invocation services

invoking needs access to `node_cache_size` to occur

* optionally remove pause/resume buttons from queue UI

* option to disable prepending

* chore(ui): remove unused file

* feat(queue): remove `order_id` entirely, `item_id` is now an autoinc pk

---------

Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
---
 invokeai/app/api/dependencies.py              |   42 +-
 invokeai/app/api/routers/session_queue.py     |  247 +++
 invokeai/app/api/routers/sessions.py          |   18 +-
 invokeai/app/api/routers/utilities.py         |   41 +
 invokeai/app/api/sockets.py                   |   24 +-
 invokeai/app/api_app.py                       |    7 +-
 invokeai/app/cli_app.py                       |   19 +-
 invokeai/app/invocations/baseinvocation.py    |   39 +-
 invokeai/app/invocations/collections.py       |    1 +
 invokeai/app/invocations/image.py             |   39 +
 invokeai/app/invocations/math.py              |    9 +-
 invokeai/app/invocations/prompt.py            |    9 +-
 .../services/board_image_record_storage.py    |   10 +-
 invokeai/app/services/board_record_storage.py |   14 +-
 invokeai/app/services/config/base.py          |   21 +-
 .../app/services/config/invokeai_config.py    |   39 +-
 invokeai/app/services/default_graphs.py       |   95 +-
 invokeai/app/services/events.py               |  118 +-
 invokeai/app/services/graph.py                |   87 +-
 invokeai/app/services/image_record_storage.py |   10 +-
 .../app/services/invocation_cache/__init__.py |    0
 .../invocation_cache/invocation_cache_base.py |   29 +
 .../invocation_cache_memory.py                |   46 +
 invokeai/app/services/invocation_queue.py     |    4 +
 invokeai/app/services/invocation_services.py  |   21 +-
 invokeai/app/services/invoker.py              |    7 +-
 .../app/services/model_manager_service.py     |    6 +-
 invokeai/app/services/processor.py            |   39 +-
 invokeai/app/services/resource_name.py        |    5 +-
 .../services/session_processor/__init__.py    |    0
 .../session_processor_base.py                 |   28 +
 .../session_processor_common.py               |    6 +
 .../session_processor_default.py              |  123 ++
 .../app/services/session_queue/__init__.py    |    0
 .../session_queue/session_queue_base.py       |  112 +
 .../session_queue/session_queue_common.py     |  418 ++++
 .../session_queue/session_queue_sqlite.py     |  813 ++++++++
 invokeai/app/services/shared/models.py        |   14 +
 invokeai/app/services/sqlite.py               |   17 +-
 invokeai/app/services/thread.py               |    3 +
 invokeai/app/util/misc.py                     |    6 +
 invokeai/app/util/step_callback.py            |    2 +
 invokeai/frontend/install/import_images.py    |    4 +-
 invokeai/frontend/web/public/locales/en.json  |  100 +-
 .../components/AuxiliaryProgressIndicator.tsx |   44 -
 .../web/src/app/components/GlobalHotkeys.ts   |   35 +
 .../web/src/app/components/InvokeAIUI.tsx     |   11 +-
 .../web/src/app/components/Toaster.ts         |    3 +-
 .../frontend/web/src/app/logging/logger.ts    |    1 +
 .../frontend/web/src/app/logging/useLogger.ts |    6 +-
 .../frontend/web/src/app/store/actions.ts     |    8 +-
 .../enhancers/reduxRemember/serialize.ts      |    2 +
 .../enhancers/reduxRemember/unserialize.ts    |    4 +
 .../middleware/listenerMiddleware/index.ts    |   24 +-
 .../addCommitStagingAreaImageListener.ts      |   66 +-
 .../listeners/anyEnqueued.ts                  |   27 +
 .../listeners/controlNetAutoProcess.ts        |    4 +-
 .../listeners/controlNetImageProcessed.ts     |  116 +-
 ...kedCanvas.ts => enqueueRequestedCanvas.ts} |  115 +-
 .../listeners/enqueueRequestedLinear.ts       |   78 +
 .../listeners/enqueueRequestedNodes.ts        |   62 +
 .../listeners/promptChanged.ts                |   67 +
 .../listeners/sessionReadyToInvoke.ts         |   18 -
 .../listeners/socketio/socketConnected.ts     |   22 +-
 .../listeners/socketio/socketDisconnected.ts  |    4 +
 .../socketio/socketGeneratorProgress.ts       |   18 +-
 .../socketio/socketInvocationComplete.ts      |   16 +-
 .../socketio/socketInvocationStarted.ts       |   13 +-
 .../socketio/socketQueueItemStatusChanged.ts  |   56 +
 .../listeners/socketio/socketSubscribed.ts    |    9 +-
 .../listeners/socketio/socketUnsubscribed.ts  |    8 +-
 .../listeners/upscaleRequested.ts             |   40 +-
 .../listeners/userInvokedImageToImage.ts      |   38 -
 .../listeners/userInvokedNodes.ts             |   29 -
 .../listeners/userInvokedTextToImage.ts       |   39 -
 .../listeners/util/enqueueBatch.ts            |   54 +
 .../web/src/app/store/nanostores/store.ts     |    5 +
 invokeai/frontend/web/src/app/store/store.ts  |    4 +
 .../frontend/web/src/app/types/invokeai.ts    |    5 +-
 .../common/components/IAIImageFallback.tsx    |   10 +-
 .../IAIMantineSelectItemWithDescription.tsx   |   29 +
 .../src/common/components/ImageUploader.tsx   |    9 +-
 ...eadyToInvoke.ts => useIsReadyToEnqueue.ts} |   31 +-
 .../web/src/common/util/generateSeeds.ts      |   28 +
 .../features/canvas/components/IAICanvas.tsx  |    4 +-
 .../components/IAICanvasIntermediateImage.tsx |   19 +-
 .../IAICanvasStagingAreaToolbar.tsx           |   20 +-
 .../IAICanvasToolbar/IAICanvasRedoButton.tsx  |    9 +-
 .../IAICanvasToolChooserOptions.tsx           |   13 +-
 .../IAICanvasToolbar/IAICanvasToolbar.tsx     |   26 +-
 .../IAICanvasToolbar/IAICanvasUndoButton.tsx  |    9 +-
 .../features/canvas/store/canvasSelectors.ts  |   10 +-
 .../src/features/canvas/store/canvasSlice.ts  |   29 +-
 .../src/features/canvas/store/canvasTypes.ts  |    3 +-
 .../components/ControlNetPreprocessButton.tsx |    4 +-
 .../ParamControlNetShouldAutoConfig.tsx       |    6 +-
 .../parameters/ParamControlNetModel.tsx       |    6 +-
 .../ParamControlNetProcessorSelect.tsx        |    4 +-
 .../components/processors/CannyProcessor.tsx  |    9 +-
 .../processors/ContentShuffleProcessor.tsx    |   15 +-
 .../components/processors/HedProcessor.tsx    |   11 +-
 .../processors/LineartAnimeProcessor.tsx      |    9 +-
 .../processors/LineartProcessor.tsx           |   11 +-
 .../processors/MediapipeFaceProcessor.tsx     |    9 +-
 .../processors/MidasDepthProcessor.tsx        |    9 +-
 .../processors/MlsdImageProcessor.tsx         |   13 +-
 .../processors/NormalBaeProcessor.tsx         |    9 +-
 .../processors/OpenposeProcessor.tsx          |   11 +-
 .../components/processors/PidiProcessor.tsx   |   11 +-
 .../components/DeleteImageButton.tsx          |   15 +-
 .../ParamDynamicPromptsCollapse.tsx           |   48 +-
 .../ParamDynamicPromptsCombinatorial.tsx      |    9 +-
 .../components/ParamDynamicPromptsEnabled.tsx |   38 -
 .../ParamDynamicPromptsMaxPrompts.tsx         |    6 +-
 .../components/ParamDynamicPromptsPreview.tsx |  100 +
 .../ParamDynamicPromptsSeedBehaviour.tsx      |   60 +
 .../store/dynamicPromptsPersistDenylist.ts    |    4 +
 .../store/dynamicPromptsSlice.ts              |   35 +-
 .../components/Boards/BoardAutoAddSelect.tsx  |   11 +-
 .../components/Boards/BoardContextMenu.tsx    |   14 +-
 .../Boards/BoardsList/GalleryBoard.tsx        |   12 +-
 .../Boards/BoardsList/NoBoardBoard.tsx        |   12 +-
 .../CurrentImage/CurrentImageButtons.tsx      |   48 +-
 .../CurrentImage/CurrentImagePreview.tsx      |   14 +-
 .../SingleSelectionMenuItems.tsx              |    7 +-
 .../ImageMetadataActions.tsx                  |    2 +-
 .../ImageMetadataViewer.tsx                   |    2 +-
 .../flow/AddNodePopover/AddNodePopover.tsx    |    2 +-
 .../nodes/CurrentImage/CurrentImageNode.tsx   |    2 +-
 .../Invocation/EmbedWorkflowCheckbox.tsx      |    2 +-
 .../flow/nodes/Invocation/InvocationNode.tsx  |   16 +-
 .../nodes/Invocation/InvocationNodeFooter.tsx |    8 +-
 .../nodes/Invocation/UseCacheCheckbox.tsx     |   35 +
 .../Invocation/fields/EditableFieldTitle.tsx  |    2 +-
 .../flow/nodes/common/NodeWrapper.tsx         |    2 +-
 .../TopCenterPanel/WorkflowEditorControls.tsx |   15 -
 .../sidePanel/NodeEditorPanelGroup.tsx        |   19 +-
 .../sidePanel/ScrollableContent.tsx           |   11 +-
 .../inspector/InspectorOutputsTab.tsx         |    2 +-
 .../inspector/InspectorTemplateTab.tsx        |    2 +-
 .../features/nodes/hooks/useBuildNodeData.ts  |    1 +
 .../src/features/nodes/hooks/useUseCache.ts   |   29 +
 .../src/features/nodes/hooks/useWithFooter.ts |    2 +-
 .../src/features/nodes/store/nodesSlice.ts    |   29 +
 .../web/src/features/nodes/types/types.ts     |   48 +-
 .../graphBuilders/addDynamicPromptsToGraph.ts |  209 --
 .../graphBuilders/addNSFWCheckerToGraph.ts    |   33 +-
 .../graphBuilders/addSDXLRefinerToGraph.ts    |   10 +-
 .../util/graphBuilders/addSaveImageNode.ts    |   92 +
 .../graphBuilders/addWatermarkerToGraph.ts    |    1 +
 .../graphBuilders/buildAdHocUpscaleGraph.ts   |   30 +-
 .../buildCanvasImageToImageGraph.ts           |   56 +-
 .../graphBuilders/buildCanvasInpaintGraph.ts  |  137 +-
 .../graphBuilders/buildCanvasOutpaintGraph.ts |  149 +-
 .../buildCanvasSDXLImageToImageGraph.ts       |   46 +-
 .../buildCanvasSDXLInpaintGraph.ts            |  142 +-
 .../buildCanvasSDXLOutpaintGraph.ts           |  152 +-
 .../buildCanvasSDXLTextToImageGraph.ts        |   52 +-
 .../buildCanvasTextToImageGraph.ts            |   41 +-
 .../graphBuilders/buildLinearBatchConfig.ts   |  185 ++
 .../buildLinearImageToImageGraph.ts           |   32 +-
 .../buildLinearSDXLImageToImageGraph.ts       |   32 +-
 .../buildLinearSDXLTextToImageGraph.ts        |   32 +-
 .../buildLinearTextToImageGraph.ts            |   30 +-
 .../util/graphBuilders/buildNodesGraph.ts     |    3 +
 .../nodes/util/graphBuilders/constants.ts     |    1 +
 .../helpers/craftSDXLStylePrompt.ts           |   36 +-
 .../src/features/nodes/util/parseSchema.ts    |    5 +-
 .../features/nodes/util/validateWorkflow.ts   |    4 +-
 .../Parameters/Core/ParamIterations.tsx       |   18 +-
 .../Core/ParamPositiveConditioning.tsx        |   34 +-
 .../components/Parameters/Core/ParamSize.tsx  |    4 +-
 .../Upscale/ParamUpscaleSettings.tsx          |   13 +-
 .../ProcessButtons/CancelButton.tsx           |  184 --
 .../ProcessButtons/InvokeButton.tsx           |  174 --
 .../ProcessButtons/ProcessButtons.tsx         |   18 -
 .../util/useCoreParametersCollapseLabel.ts    |   34 +
 .../CancelCurrentQueueItemButton.tsx          |   33 +
 .../queue/components/ClearQueueButton.tsx     |   32 +
 .../queue/components/CurrentQueueItemCard.tsx |   18 +
 .../queue/components/NextQueueItemCard.tsx    |   18 +
 .../queue/components/PauseProcessorButton.tsx |   29 +
 .../queue/components/PruneQueueButton.tsx     |   29 +
 .../queue/components/QueueBackButton.tsx      |   32 +
 .../queue/components/QueueButtonTooltip.tsx   |   82 +
 .../queue/components/QueueControls.tsx        |  100 +
 .../queue/components/QueueFrontButton.tsx     |   32 +
 .../QueueList/QueueItemComponent.tsx          |  153 ++
 .../components/QueueList/QueueItemDetail.tsx  |  153 ++
 .../queue/components/QueueList/QueueList.tsx  |  162 ++
 .../QueueList/QueueListComponent.tsx          |   18 +
 .../components/QueueList/QueueListHeader.tsx  |   40 +
 .../queue/components/QueueList/constants.ts   |    9 +
 .../queue/components/QueueList/types.ts       |    4 +
 .../features/queue/components/QueueStatus.tsx |   39 +
 .../queue/components/QueueStatusCard.tsx      |   54 +
 .../queue/components/QueueTabContent.tsx      |   61 +
 .../components/ResumeProcessorButton.tsx      |   29 +
 .../components/VerticalQueueControls.tsx      |   27 +
 .../queue/components/common/QueueButton.tsx   |   64 +
 .../queue/components/common/QueueItemCard.tsx |   52 +
 .../components/common/QueueStatusBadge.tsx    |   22 +
 .../components/common/QueueStatusDot.tsx      |   28 +
 .../features/queue/hooks/useCancelBatch.ts    |   53 +
 .../queue/hooks/useCancelCurrentQueueItem.ts  |   42 +
 .../queue/hooks/useCancelQueueItem.ts         |   31 +
 .../src/features/queue/hooks/useClearQueue.ts |   47 +
 .../features/queue/hooks/useIsQueueEmpty.ts   |   15 +
 .../hooks/useIsQueueMutationInProgress.ts     |   55 +
 .../features/queue/hooks/usePauseProcessor.ts |   46 +
 .../src/features/queue/hooks/usePruneQueue.ts |   55 +
 .../src/features/queue/hooks/useQueueBack.ts  |   26 +
 .../src/features/queue/hooks/useQueueFront.ts |   32 +
 .../queue/hooks/useResumeProcessor.ts         |   46 +
 .../src/features/queue/store/nanoStores.ts    |    5 +
 .../src/features/queue/store/queueSlice.ts    |   60 +
 .../features/queue/util/formatNumberShort.ts  |    4 +
 .../queue/util/getSecondsFromTimestamps.ts    |    2 +
 .../ParamSDXLNegativeStyleConditioning.tsx    |   32 +-
 .../ParamSDXLPositiveStyleConditioning.tsx    |   32 +-
 .../web/src/features/sdxl/store/sdxlSlice.ts  |    6 +-
 .../system/components/ProgressBar.tsx         |   36 +-
 .../SettingsModal/SettingsModal.tsx           |    2 +-
 .../system/components/StatusIndicator.tsx     |   67 +-
 .../src/features/system/store/configSlice.ts  |    4 +-
 .../src/features/system/store/constants.ts    |   20 -
 .../system/store/systemPersistDenylist.ts     |   20 +-
 .../features/system/store/systemSelectors.ts  |   18 +-
 .../src/features/system/store/systemSlice.ts  |  296 +--
 .../web/src/features/system/store/types.ts    |   62 +
 .../system/util/calculateStepPercentage.ts    |   17 +
 .../ui/components/FloatingGalleryButton.tsx   |    6 +-
 .../FloatingParametersPanelButtons.tsx        |   37 +-
 .../src/features/ui/components/InvokeTabs.tsx |   24 +-
 .../ui/components/ParametersPanel.tsx         |    4 +-
 .../ImageToImageTabCoreParameters.tsx         |   27 +-
 .../AddModelsPanel/SimpleAddModels.tsx        |   18 +-
 .../ModelManagerPanel/CheckpointModelEdit.tsx |   11 +-
 .../ModelManagerPanel/DiffusersModelEdit.tsx  |   13 +-
 .../ModelManagerPanel/LoRAModelEdit.tsx       |   19 +-
 .../ModelManagerPanel/ModelListItem.tsx       |    5 +-
 .../ui/components/tabs/Queue/QueueTab.tsx     |    8 +
 .../TextToImageTabCoreParameters.tsx          |   26 +-
 .../UnifiedCanvasCopyToClipboard.tsx          |    9 +-
 .../UnifiedCanvasMergeVisible.tsx             |    9 +-
 .../UnifiedCanvasSaveToGallery.tsx            |    9 +-
 .../UnifiedCanvasToolSelect.tsx               |   37 +-
 .../UnifiedCanvasCoreParameters.tsx           |   26 +-
 .../web/src/features/ui/store/tabMap.ts       |    2 +-
 .../web/src/services/api/endpoints/boards.ts  |    6 +-
 .../web/src/services/api/endpoints/images.ts  |    4 +-
 .../web/src/services/api/endpoints/models.ts  |   26 +-
 .../web/src/services/api/endpoints/queue.ts   |  382 ++++
 .../src/services/api/endpoints/utilities.ts   |   20 +
 .../frontend/web/src/services/api/index.ts    |   12 +-
 .../frontend/web/src/services/api/schema.d.ts | 1800 ++++++++++++++++-
 .../web/src/services/api/thunks/session.ts    |    7 +-
 .../frontend/web/src/services/api/types.ts    |   10 +
 .../web/src/services/events/actions.ts        |   41 +-
 .../web/src/services/events/middleware.ts     |   29 -
 .../frontend/web/src/services/events/types.ts |   54 +-
 .../services/events/util/setEventListeners.ts |   22 +-
 .../frontend/web/src/theme/colors/colors.ts   |    8 +-
 .../web/src/theme/components/button.ts        |   22 +-
 .../web/src/theme/components/table.ts         |    0
 .../frontend/web/src/theme/themeTypes.d.ts    |    2 +
 tests/nodes/test_graph_execution_state.py     |   22 +-
 tests/nodes/test_invoker.py                   |   58 +-
 tests/nodes/test_nodes.py                     |    1 +
 tests/nodes/test_session_queue.py             |  255 +++
 tests/nodes/test_sqlite.py                    |   40 +-
 271 files changed, 9294 insertions(+), 3050 deletions(-)
 create mode 100644 invokeai/app/api/routers/session_queue.py
 create mode 100644 invokeai/app/api/routers/utilities.py
 create mode 100644 invokeai/app/services/invocation_cache/__init__.py
 create mode 100644 invokeai/app/services/invocation_cache/invocation_cache_base.py
 create mode 100644 invokeai/app/services/invocation_cache/invocation_cache_memory.py
 create mode 100644 invokeai/app/services/session_processor/__init__.py
 create mode 100644 invokeai/app/services/session_processor/session_processor_base.py
 create mode 100644 invokeai/app/services/session_processor/session_processor_common.py
 create mode 100644 invokeai/app/services/session_processor/session_processor_default.py
 create mode 100644 invokeai/app/services/session_queue/__init__.py
 create mode 100644 invokeai/app/services/session_queue/session_queue_base.py
 create mode 100644 invokeai/app/services/session_queue/session_queue_common.py
 create mode 100644 invokeai/app/services/session_queue/session_queue_sqlite.py
 create mode 100644 invokeai/app/services/shared/models.py
 create mode 100644 invokeai/app/services/thread.py
 delete mode 100644 invokeai/frontend/web/src/app/components/AuxiliaryProgressIndicator.tsx
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/anyEnqueued.ts
 rename invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/{userInvokedCanvas.ts => enqueueRequestedCanvas.ts} (65%)
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/promptChanged.ts
 delete mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionReadyToInvoke.ts
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts
 delete mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts
 delete mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts
 delete mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/util/enqueueBatch.ts
 create mode 100644 invokeai/frontend/web/src/app/store/nanostores/store.ts
 create mode 100644 invokeai/frontend/web/src/common/components/IAIMantineSelectItemWithDescription.tsx
 rename invokeai/frontend/web/src/common/hooks/{useIsReadyToInvoke.ts => useIsReadyToEnqueue.ts} (84%)
 create mode 100644 invokeai/frontend/web/src/common/util/generateSeeds.ts
 delete mode 100644 invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
 create mode 100644 invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx
 create mode 100644 invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx
 create mode 100644 invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsPersistDenylist.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/UseCacheCheckbox.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/flow/panels/TopCenterPanel/WorkflowEditorControls.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/hooks/useUseCache.ts
 delete mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/addDynamicPromptsToGraph.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearBatchConfig.ts
 delete mode 100644 invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx
 delete mode 100644 invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx
 delete mode 100644 invokeai/frontend/web/src/features/parameters/components/ProcessButtons/ProcessButtons.tsx
 create mode 100644 invokeai/frontend/web/src/features/parameters/util/useCoreParametersCollapseLabel.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/CurrentQueueItemCard.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/NextQueueItemCard.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueControls.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueList/QueueList.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueList/QueueListComponent.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueList/constants.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueList/types.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueStatusCard.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/common/QueueStatusBadge.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/common/QueueStatusDot.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useIsQueueEmpty.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useQueueBack.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useQueueFront.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/store/nanoStores.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/store/queueSlice.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/util/formatNumberShort.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/util/getSecondsFromTimestamps.ts
 delete mode 100644 invokeai/frontend/web/src/features/system/store/constants.ts
 create mode 100644 invokeai/frontend/web/src/features/system/store/types.ts
 create mode 100644 invokeai/frontend/web/src/features/system/util/calculateStepPercentage.ts
 create mode 100644 invokeai/frontend/web/src/features/ui/components/tabs/Queue/QueueTab.tsx
 create mode 100644 invokeai/frontend/web/src/services/api/endpoints/queue.ts
 create mode 100644 invokeai/frontend/web/src/services/api/endpoints/utilities.ts
 create mode 100644 invokeai/frontend/web/src/theme/components/table.ts
 create mode 100644 tests/nodes/test_session_queue.py

diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py
index 3a54280234..c2a32010c5 100644
--- a/invokeai/app/api/dependencies.py
+++ b/invokeai/app/api/dependencies.py
@@ -1,5 +1,6 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
+import sqlite3
 from logging import Logger
 
 from invokeai.app.services.board_image_record_storage import SqliteBoardImageRecordStorage
@@ -9,7 +10,10 @@ from invokeai.app.services.boards import BoardService, BoardServiceDependencies
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.app.services.image_record_storage import SqliteImageRecordStorage
 from invokeai.app.services.images import ImageService, ImageServiceDependencies
+from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
 from invokeai.app.services.resource_name import SimpleNameService
+from invokeai.app.services.session_processor.session_processor_default import DefaultSessionProcessor
+from invokeai.app.services.session_queue.session_queue_sqlite import SqliteSessionQueue
 from invokeai.app.services.urls import LocalUrlService
 from invokeai.backend.util.logging import InvokeAILogger
 from invokeai.version.invokeai_version import __version__
@@ -25,6 +29,7 @@ from ..services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsSto
 from ..services.model_manager_service import ModelManagerService
 from ..services.processor import DefaultInvocationProcessor
 from ..services.sqlite import SqliteItemStorage
+from ..services.thread import lock
 from .events import FastAPIEventService
 
 
@@ -63,22 +68,32 @@ class ApiDependencies:
         output_folder = config.output_path
 
         # TODO: build a file/path manager?
-        db_path = config.db_path
-        db_path.parent.mkdir(parents=True, exist_ok=True)
-        db_location = str(db_path)
+        if config.use_memory_db:
+            db_location = ":memory:"
+        else:
+            db_path = config.db_path
+            db_path.parent.mkdir(parents=True, exist_ok=True)
+            db_location = str(db_path)
+
+        logger.info(f"Using database at {db_location}")
+        db_conn = sqlite3.connect(db_location, check_same_thread=False)  # TODO: figure out a better threading solution
+
+        if config.log_sql:
+            db_conn.set_trace_callback(print)
+        db_conn.execute("PRAGMA foreign_keys = ON;")
 
         graph_execution_manager = SqliteItemStorage[GraphExecutionState](
-            filename=db_location, table_name="graph_executions"
+            conn=db_conn, table_name="graph_executions", lock=lock
         )
 
         urls = LocalUrlService()
-        image_record_storage = SqliteImageRecordStorage(db_location)
+        image_record_storage = SqliteImageRecordStorage(conn=db_conn, lock=lock)
         image_file_storage = DiskImageFileStorage(f"{output_folder}/images")
         names = SimpleNameService()
         latents = ForwardCacheLatentsStorage(DiskLatentsStorage(f"{output_folder}/latents"))
 
-        board_record_storage = SqliteBoardRecordStorage(db_location)
-        board_image_record_storage = SqliteBoardImageRecordStorage(db_location)
+        board_record_storage = SqliteBoardRecordStorage(conn=db_conn, lock=lock)
+        board_image_record_storage = SqliteBoardImageRecordStorage(conn=db_conn, lock=lock)
 
         boards = BoardService(
             services=BoardServiceDependencies(
@@ -120,18 +135,29 @@ class ApiDependencies:
             boards=boards,
             board_images=board_images,
             queue=MemoryInvocationQueue(),
-            graph_library=SqliteItemStorage[LibraryGraph](filename=db_location, table_name="graphs"),
+            graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, lock=lock, table_name="graphs"),
             graph_execution_manager=graph_execution_manager,
             processor=DefaultInvocationProcessor(),
             configuration=config,
             performance_statistics=InvocationStatsService(graph_execution_manager),
             logger=logger,
+            session_queue=SqliteSessionQueue(conn=db_conn, lock=lock),
+            session_processor=DefaultSessionProcessor(),
+            invocation_cache=MemoryInvocationCache(max_cache_size=config.node_cache_size),
         )
 
         create_system_graphs(services.graph_library)
 
         ApiDependencies.invoker = Invoker(services)
 
+        try:
+            lock.acquire()
+            db_conn.execute("VACUUM;")
+            db_conn.commit()
+            logger.info("Cleaned database")
+        finally:
+            lock.release()
+
     @staticmethod
     def shutdown():
         if ApiDependencies.invoker:
diff --git a/invokeai/app/api/routers/session_queue.py b/invokeai/app/api/routers/session_queue.py
new file mode 100644
index 0000000000..fb2c98c9f1
--- /dev/null
+++ b/invokeai/app/api/routers/session_queue.py
@@ -0,0 +1,247 @@
+from typing import Optional
+
+from fastapi import Body, Path, Query
+from fastapi.routing import APIRouter
+from pydantic import BaseModel
+
+from invokeai.app.services.session_processor.session_processor_common import SessionProcessorStatus
+from invokeai.app.services.session_queue.session_queue_common import (
+    QUEUE_ITEM_STATUS,
+    Batch,
+    BatchStatus,
+    CancelByBatchIDsResult,
+    ClearResult,
+    EnqueueBatchResult,
+    EnqueueGraphResult,
+    PruneResult,
+    SessionQueueItem,
+    SessionQueueItemDTO,
+    SessionQueueStatus,
+)
+from invokeai.app.services.shared.models import CursorPaginatedResults
+
+from ...services.graph import Graph
+from ..dependencies import ApiDependencies
+
+session_queue_router = APIRouter(prefix="/v1/queue", tags=["queue"])
+
+
+class SessionQueueAndProcessorStatus(BaseModel):
+    """The overall status of session queue and processor"""
+
+    queue: SessionQueueStatus
+    processor: SessionProcessorStatus
+
+
+@session_queue_router.post(
+    "/{queue_id}/enqueue_graph",
+    operation_id="enqueue_graph",
+    responses={
+        201: {"model": EnqueueGraphResult},
+    },
+)
+async def enqueue_graph(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+    graph: Graph = Body(description="The graph to enqueue"),
+    prepend: bool = Body(default=False, description="Whether or not to prepend this batch in the queue"),
+) -> EnqueueGraphResult:
+    """Enqueues a graph for single execution."""
+
+    return ApiDependencies.invoker.services.session_queue.enqueue_graph(queue_id=queue_id, graph=graph, prepend=prepend)
+
+
+@session_queue_router.post(
+    "/{queue_id}/enqueue_batch",
+    operation_id="enqueue_batch",
+    responses={
+        201: {"model": EnqueueBatchResult},
+    },
+)
+async def enqueue_batch(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+    batch: Batch = Body(description="Batch to process"),
+    prepend: bool = Body(default=False, description="Whether or not to prepend this batch in the queue"),
+) -> EnqueueBatchResult:
+    """Processes a batch and enqueues the output graphs for execution."""
+
+    return ApiDependencies.invoker.services.session_queue.enqueue_batch(queue_id=queue_id, batch=batch, prepend=prepend)
+
+
+@session_queue_router.get(
+    "/{queue_id}/list",
+    operation_id="list_queue_items",
+    responses={
+        200: {"model": CursorPaginatedResults[SessionQueueItemDTO]},
+    },
+)
+async def list_queue_items(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+    limit: int = Query(default=50, description="The number of items to fetch"),
+    status: Optional[QUEUE_ITEM_STATUS] = Query(default=None, description="The status of items to fetch"),
+    cursor: Optional[int] = Query(default=None, description="The pagination cursor"),
+    priority: int = Query(default=0, description="The pagination cursor priority"),
+) -> CursorPaginatedResults[SessionQueueItemDTO]:
+    """Gets all queue items (without graphs)"""
+
+    return ApiDependencies.invoker.services.session_queue.list_queue_items(
+        queue_id=queue_id, limit=limit, status=status, cursor=cursor, priority=priority
+    )
+
+
+@session_queue_router.put(
+    "/{queue_id}/processor/resume",
+    operation_id="resume",
+    responses={200: {"model": SessionProcessorStatus}},
+)
+async def resume(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+) -> SessionProcessorStatus:
+    """Resumes session processor"""
+    return ApiDependencies.invoker.services.session_processor.resume()
+
+
+@session_queue_router.put(
+    "/{queue_id}/processor/pause",
+    operation_id="pause",
+    responses={200: {"model": SessionProcessorStatus}},
+)
+async def Pause(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+) -> SessionProcessorStatus:
+    """Pauses session processor"""
+    return ApiDependencies.invoker.services.session_processor.pause()
+
+
+@session_queue_router.put(
+    "/{queue_id}/cancel_by_batch_ids",
+    operation_id="cancel_by_batch_ids",
+    responses={200: {"model": CancelByBatchIDsResult}},
+)
+async def cancel_by_batch_ids(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+    batch_ids: list[str] = Body(description="The list of batch_ids to cancel all queue items for", embed=True),
+) -> CancelByBatchIDsResult:
+    """Immediately cancels all queue items from the given batch ids"""
+    return ApiDependencies.invoker.services.session_queue.cancel_by_batch_ids(queue_id=queue_id, batch_ids=batch_ids)
+
+
+@session_queue_router.put(
+    "/{queue_id}/clear",
+    operation_id="clear",
+    responses={
+        200: {"model": ClearResult},
+    },
+)
+async def clear(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+) -> ClearResult:
+    """Clears the queue entirely, immediately canceling the currently-executing session"""
+    queue_item = ApiDependencies.invoker.services.session_queue.get_current(queue_id)
+    if queue_item is not None:
+        ApiDependencies.invoker.services.session_queue.cancel_queue_item(queue_item.item_id)
+    clear_result = ApiDependencies.invoker.services.session_queue.clear(queue_id)
+    return clear_result
+
+
+@session_queue_router.put(
+    "/{queue_id}/prune",
+    operation_id="prune",
+    responses={
+        200: {"model": PruneResult},
+    },
+)
+async def prune(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+) -> PruneResult:
+    """Prunes all completed or errored queue items"""
+    return ApiDependencies.invoker.services.session_queue.prune(queue_id)
+
+
+@session_queue_router.get(
+    "/{queue_id}/current",
+    operation_id="get_current_queue_item",
+    responses={
+        200: {"model": Optional[SessionQueueItem]},
+    },
+)
+async def get_current_queue_item(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+) -> Optional[SessionQueueItem]:
+    """Gets the currently execution queue item"""
+    return ApiDependencies.invoker.services.session_queue.get_current(queue_id)
+
+
+@session_queue_router.get(
+    "/{queue_id}/next",
+    operation_id="get_next_queue_item",
+    responses={
+        200: {"model": Optional[SessionQueueItem]},
+    },
+)
+async def get_next_queue_item(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+) -> Optional[SessionQueueItem]:
+    """Gets the next queue item, without executing it"""
+    return ApiDependencies.invoker.services.session_queue.get_next(queue_id)
+
+
+@session_queue_router.get(
+    "/{queue_id}/status",
+    operation_id="get_queue_status",
+    responses={
+        200: {"model": SessionQueueAndProcessorStatus},
+    },
+)
+async def get_queue_status(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+) -> SessionQueueAndProcessorStatus:
+    """Gets the status of the session queue"""
+    queue = ApiDependencies.invoker.services.session_queue.get_queue_status(queue_id)
+    processor = ApiDependencies.invoker.services.session_processor.get_status()
+    return SessionQueueAndProcessorStatus(queue=queue, processor=processor)
+
+
+@session_queue_router.get(
+    "/{queue_id}/b/{batch_id}/status",
+    operation_id="get_batch_status",
+    responses={
+        200: {"model": BatchStatus},
+    },
+)
+async def get_batch_status(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+    batch_id: str = Path(description="The batch to get the status of"),
+) -> BatchStatus:
+    """Gets the status of the session queue"""
+    return ApiDependencies.invoker.services.session_queue.get_batch_status(queue_id=queue_id, batch_id=batch_id)
+
+
+@session_queue_router.get(
+    "/{queue_id}/i/{item_id}",
+    operation_id="get_queue_item",
+    responses={
+        200: {"model": SessionQueueItem},
+    },
+)
+async def get_queue_item(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+    item_id: int = Path(description="The queue item to get"),
+) -> SessionQueueItem:
+    """Gets a queue item"""
+    return ApiDependencies.invoker.services.session_queue.get_queue_item(item_id)
+
+
+@session_queue_router.put(
+    "/{queue_id}/i/{item_id}/cancel",
+    operation_id="cancel_queue_item",
+    responses={
+        200: {"model": SessionQueueItem},
+    },
+)
+async def cancel_queue_item(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+    item_id: int = Path(description="The queue item to cancel"),
+) -> SessionQueueItem:
+    """Deletes a queue item"""
+
+    return ApiDependencies.invoker.services.session_queue.cancel_queue_item(item_id)
diff --git a/invokeai/app/api/routers/sessions.py b/invokeai/app/api/routers/sessions.py
index e950e46e9f..ac6313edce 100644
--- a/invokeai/app/api/routers/sessions.py
+++ b/invokeai/app/api/routers/sessions.py
@@ -23,12 +23,14 @@ session_router = APIRouter(prefix="/v1/sessions", tags=["sessions"])
         200: {"model": GraphExecutionState},
         400: {"description": "Invalid json"},
     },
+    deprecated=True,
 )
 async def create_session(
-    graph: Optional[Graph] = Body(default=None, description="The graph to initialize the session with")
+    queue_id: str = Query(default="", description="The id of the queue to associate the session with"),
+    graph: Optional[Graph] = Body(default=None, description="The graph to initialize the session with"),
 ) -> GraphExecutionState:
     """Creates a new session, optionally initializing it with an invocation graph"""
-    session = ApiDependencies.invoker.create_execution_state(graph)
+    session = ApiDependencies.invoker.create_execution_state(queue_id=queue_id, graph=graph)
     return session
 
 
@@ -36,6 +38,7 @@ async def create_session(
     "/",
     operation_id="list_sessions",
     responses={200: {"model": PaginatedResults[GraphExecutionState]}},
+    deprecated=True,
 )
 async def list_sessions(
     page: int = Query(default=0, description="The page of results to get"),
@@ -57,6 +60,7 @@ async def list_sessions(
         200: {"model": GraphExecutionState},
         404: {"description": "Session not found"},
     },
+    deprecated=True,
 )
 async def get_session(
     session_id: str = Path(description="The id of the session to get"),
@@ -77,6 +81,7 @@ async def get_session(
         400: {"description": "Invalid node or link"},
         404: {"description": "Session not found"},
     },
+    deprecated=True,
 )
 async def add_node(
     session_id: str = Path(description="The id of the session"),
@@ -109,6 +114,7 @@ async def add_node(
         400: {"description": "Invalid node or link"},
         404: {"description": "Session not found"},
     },
+    deprecated=True,
 )
 async def update_node(
     session_id: str = Path(description="The id of the session"),
@@ -142,6 +148,7 @@ async def update_node(
         400: {"description": "Invalid node or link"},
         404: {"description": "Session not found"},
     },
+    deprecated=True,
 )
 async def delete_node(
     session_id: str = Path(description="The id of the session"),
@@ -172,6 +179,7 @@ async def delete_node(
         400: {"description": "Invalid node or link"},
         404: {"description": "Session not found"},
     },
+    deprecated=True,
 )
 async def add_edge(
     session_id: str = Path(description="The id of the session"),
@@ -203,6 +211,7 @@ async def add_edge(
         400: {"description": "Invalid node or link"},
         404: {"description": "Session not found"},
     },
+    deprecated=True,
 )
 async def delete_edge(
     session_id: str = Path(description="The id of the session"),
@@ -241,8 +250,10 @@ async def delete_edge(
         400: {"description": "The session has no invocations ready to invoke"},
         404: {"description": "Session not found"},
     },
+    deprecated=True,
 )
 async def invoke_session(
+    queue_id: str = Query(description="The id of the queue to associate the session with"),
     session_id: str = Path(description="The id of the session to invoke"),
     all: bool = Query(default=False, description="Whether or not to invoke all remaining invocations"),
 ) -> Response:
@@ -254,7 +265,7 @@ async def invoke_session(
     if session.is_complete():
         raise HTTPException(status_code=400)
 
-    ApiDependencies.invoker.invoke(session, invoke_all=all)
+    ApiDependencies.invoker.invoke(queue_id, session, invoke_all=all)
     return Response(status_code=202)
 
 
@@ -262,6 +273,7 @@ async def invoke_session(
     "/{session_id}/invoke",
     operation_id="cancel_session_invoke",
     responses={202: {"description": "The invocation is canceled"}},
+    deprecated=True,
 )
 async def cancel_session_invoke(
     session_id: str = Path(description="The id of the session to cancel"),
diff --git a/invokeai/app/api/routers/utilities.py b/invokeai/app/api/routers/utilities.py
new file mode 100644
index 0000000000..e664cb9070
--- /dev/null
+++ b/invokeai/app/api/routers/utilities.py
@@ -0,0 +1,41 @@
+from typing import Optional
+
+from dynamicprompts.generators import CombinatorialPromptGenerator, RandomPromptGenerator
+from fastapi import Body
+from fastapi.routing import APIRouter
+from pydantic import BaseModel
+from pyparsing import ParseException
+
+utilities_router = APIRouter(prefix="/v1/utilities", tags=["utilities"])
+
+
+class DynamicPromptsResponse(BaseModel):
+    prompts: list[str]
+    error: Optional[str] = None
+
+
+@utilities_router.post(
+    "/dynamicprompts",
+    operation_id="parse_dynamicprompts",
+    responses={
+        200: {"model": DynamicPromptsResponse},
+    },
+)
+async def parse_dynamicprompts(
+    prompt: str = Body(description="The prompt to parse with dynamicprompts"),
+    max_prompts: int = Body(default=1000, description="The max number of prompts to generate"),
+    combinatorial: bool = Body(default=True, description="Whether to use the combinatorial generator"),
+) -> DynamicPromptsResponse:
+    """Creates a batch process"""
+    try:
+        error: Optional[str] = None
+        if combinatorial:
+            generator = CombinatorialPromptGenerator()
+            prompts = generator.generate(prompt, max_prompts=max_prompts)
+        else:
+            generator = RandomPromptGenerator()
+            prompts = generator.generate(prompt, num_images=max_prompts)
+    except ParseException as e:
+        prompts = [prompt]
+        error = str(e)
+    return DynamicPromptsResponse(prompts=prompts if prompts else [""], error=error)
diff --git a/invokeai/app/api/sockets.py b/invokeai/app/api/sockets.py
index 4591bac540..20fa6606bd 100644
--- a/invokeai/app/api/sockets.py
+++ b/invokeai/app/api/sockets.py
@@ -13,24 +13,22 @@ class SocketIO:
 
     def __init__(self, app: FastAPI):
         self.__sio = SocketManager(app=app)
-        self.__sio.on("subscribe", handler=self._handle_sub)
-        self.__sio.on("unsubscribe", handler=self._handle_unsub)
 
-        local_handler.register(event_name=EventServiceBase.session_event, _func=self._handle_session_event)
+        self.__sio.on("subscribe_queue", handler=self._handle_sub_queue)
+        self.__sio.on("unsubscribe_queue", handler=self._handle_unsub_queue)
+        local_handler.register(event_name=EventServiceBase.queue_event, _func=self._handle_queue_event)
 
-    async def _handle_session_event(self, event: Event):
+    async def _handle_queue_event(self, event: Event):
         await self.__sio.emit(
             event=event[1]["event"],
             data=event[1]["data"],
-            room=event[1]["data"]["graph_execution_state_id"],
+            room=event[1]["data"]["queue_id"],
         )
 
-    async def _handle_sub(self, sid, data, *args, **kwargs):
-        if "session" in data:
-            self.__sio.enter_room(sid, data["session"])
+    async def _handle_sub_queue(self, sid, data, *args, **kwargs):
+        if "queue_id" in data:
+            self.__sio.enter_room(sid, data["queue_id"])
 
-        # @app.sio.on('unsubscribe')
-
-    async def _handle_unsub(self, sid, data, *args, **kwargs):
-        if "session" in data:
-            self.__sio.leave_room(sid, data["session"])
+    async def _handle_unsub_queue(self, sid, data, *args, **kwargs):
+        if "queue_id" in data:
+            self.__sio.enter_room(sid, data["queue_id"])
diff --git a/invokeai/app/api_app.py b/invokeai/app/api_app.py
index 93f02b3446..c93197d1bf 100644
--- a/invokeai/app/api_app.py
+++ b/invokeai/app/api_app.py
@@ -1,4 +1,3 @@
-# Copyright (c) 2022-2023 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
 from .services.config import InvokeAIAppConfig
 
 # parse_args() must be called before any other imports. if it is not called first, consumers of the config
@@ -33,7 +32,7 @@ if True:  # hack to make flake8 happy with imports coming after setting up the c
 
     from ..backend.util.logging import InvokeAILogger
     from .api.dependencies import ApiDependencies
-    from .api.routers import app_info, board_images, boards, images, models, sessions
+    from .api.routers import app_info, board_images, boards, images, models, session_queue, sessions, utilities
     from .api.sockets import SocketIO
     from .invocations.baseinvocation import BaseInvocation, UIConfigBase, _InputField, _OutputField
 
@@ -92,6 +91,8 @@ async def shutdown_event():
 
 app.include_router(sessions.session_router, prefix="/api")
 
+app.include_router(utilities.utilities_router, prefix="/api")
+
 app.include_router(models.models_router, prefix="/api")
 
 app.include_router(images.images_router, prefix="/api")
@@ -102,6 +103,8 @@ app.include_router(board_images.board_images_router, prefix="/api")
 
 app.include_router(app_info.app_router, prefix="/api")
 
+app.include_router(session_queue.session_queue_router, prefix="/api")
+
 
 # Build a custom OpenAPI to include all outputs
 # TODO: can outputs be included on metadata of invocation schemas somehow?
diff --git a/invokeai/app/cli_app.py b/invokeai/app/cli_app.py
index 3b8410a88e..dc59954e9b 100644
--- a/invokeai/app/cli_app.py
+++ b/invokeai/app/cli_app.py
@@ -1,4 +1,6 @@
-# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
+# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
+
+from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
 
 from .services.config import InvokeAIAppConfig
 
@@ -12,6 +14,7 @@ if True:  # hack to make flake8 happy with imports coming after setting up the c
     import argparse
     import re
     import shlex
+    import sqlite3
     import sys
     import time
     from typing import Optional, Union, get_type_hints
@@ -249,19 +252,18 @@ def invoke_cli():
         db_location = config.db_path
         db_location.parent.mkdir(parents=True, exist_ok=True)
 
+    db_conn = sqlite3.connect(db_location, check_same_thread=False)  # TODO: figure out a better threading solution
     logger.info(f'InvokeAI database location is "{db_location}"')
 
-    graph_execution_manager = SqliteItemStorage[GraphExecutionState](
-        filename=db_location, table_name="graph_executions"
-    )
+    graph_execution_manager = SqliteItemStorage[GraphExecutionState](conn=db_conn, table_name="graph_executions")
 
     urls = LocalUrlService()
-    image_record_storage = SqliteImageRecordStorage(db_location)
+    image_record_storage = SqliteImageRecordStorage(conn=db_conn)
     image_file_storage = DiskImageFileStorage(f"{output_folder}/images")
     names = SimpleNameService()
 
-    board_record_storage = SqliteBoardRecordStorage(db_location)
-    board_image_record_storage = SqliteBoardImageRecordStorage(db_location)
+    board_record_storage = SqliteBoardRecordStorage(conn=db_conn)
+    board_image_record_storage = SqliteBoardImageRecordStorage(conn=db_conn)
 
     boards = BoardService(
         services=BoardServiceDependencies(
@@ -303,12 +305,13 @@ def invoke_cli():
         boards=boards,
         board_images=board_images,
         queue=MemoryInvocationQueue(),
-        graph_library=SqliteItemStorage[LibraryGraph](filename=db_location, table_name="graphs"),
+        graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs"),
         graph_execution_manager=graph_execution_manager,
         processor=DefaultInvocationProcessor(),
         performance_statistics=InvocationStatsService(graph_execution_manager),
         logger=logger,
         configuration=config,
+        invocation_cache=MemoryInvocationCache(max_cache_size=config.node_cache_size),
     )
 
     system_graphs = create_system_graphs(services.graph_library)
diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 42ae15862d..24bfa6aac5 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -419,12 +419,18 @@ class UIConfigBase(BaseModel):
 
 
 class InvocationContext:
+    """Initialized and provided to on execution of invocations."""
+
     services: InvocationServices
     graph_execution_state_id: str
+    queue_id: str
+    queue_item_id: int
 
-    def __init__(self, services: InvocationServices, graph_execution_state_id: str):
+    def __init__(self, services: InvocationServices, queue_id: str, queue_item_id: int, graph_execution_state_id: str):
         self.services = services
         self.graph_execution_state_id = graph_execution_state_id
+        self.queue_id = queue_id
+        self.queue_item_id = queue_item_id
 
 
 class BaseInvocationOutput(BaseModel):
@@ -522,6 +528,9 @@ class BaseInvocation(ABC, BaseModel):
         return signature(cls.invoke).return_annotation
 
     class Config:
+        validate_assignment = True
+        validate_all = True
+
         @staticmethod
         def schema_extra(schema: dict[str, Any], model_class: Type[BaseModel]) -> None:
             uiconfig = getattr(model_class, "UIConfig", None)
@@ -570,7 +579,29 @@ class BaseInvocation(ABC, BaseModel):
                     raise RequiredConnectionException(self.__fields__["type"].default, field_name)
                 elif _input == Input.Any:
                     raise MissingInputException(self.__fields__["type"].default, field_name)
-        return self.invoke(context)
+
+        # skip node cache codepath if it's disabled
+        if context.services.configuration.node_cache_size == 0:
+            return self.invoke(context)
+
+        output: BaseInvocationOutput
+        if self.use_cache:
+            key = context.services.invocation_cache.create_key(self)
+            cached_value = context.services.invocation_cache.get(key)
+            if cached_value is None:
+                context.services.logger.debug(f'Invocation cache miss for type "{self.get_type()}": {self.id}')
+                output = self.invoke(context)
+                context.services.invocation_cache.save(key, output)
+                return output
+            else:
+                context.services.logger.debug(f'Invocation cache hit for type "{self.get_type()}": {self.id}')
+                return cached_value
+        else:
+            context.services.logger.debug(f'Skipping invocation cache for "{self.get_type()}": {self.id}')
+            return self.invoke(context)
+
+    def get_type(self) -> str:
+        return self.__fields__["type"].default
 
     id: str = Field(
         description="The id of this instance of an invocation. Must be unique among all instances of invocations."
@@ -583,6 +614,7 @@ class BaseInvocation(ABC, BaseModel):
         description="The workflow to save with the image",
         ui_type=UIType.WorkflowField,
     )
+    use_cache: bool = InputField(default=True, description="Whether or not to use the cache")
 
     @validator("workflow", pre=True)
     def validate_workflow_is_json(cls, v):
@@ -606,6 +638,7 @@ def invocation(
     tags: Optional[list[str]] = None,
     category: Optional[str] = None,
     version: Optional[str] = None,
+    use_cache: Optional[bool] = True,
 ) -> Callable[[Type[GenericBaseInvocation]], Type[GenericBaseInvocation]]:
     """
     Adds metadata to an invocation.
@@ -638,6 +671,8 @@ def invocation(
             except ValueError as e:
                 raise InvalidVersionError(f'Invalid version string for node "{invocation_type}": "{version}"') from e
             cls.UIConfig.version = version
+        if use_cache is not None:
+            cls.__fields__["use_cache"].default = use_cache
 
         # Add the invocation type to the pydantic model of the invocation
         invocation_type_annotation = Literal[invocation_type]  # type: ignore
diff --git a/invokeai/app/invocations/collections.py b/invokeai/app/invocations/collections.py
index 702eb99831..83863422f8 100644
--- a/invokeai/app/invocations/collections.py
+++ b/invokeai/app/invocations/collections.py
@@ -56,6 +56,7 @@ class RangeOfSizeInvocation(BaseInvocation):
     tags=["range", "integer", "random", "collection"],
     category="collections",
     version="1.0.0",
+    use_cache=False,
 )
 class RandomRangeInvocation(BaseInvocation):
     """Creates a collection of random numbers"""
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 11e5fc90a0..0403fa71e3 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -965,3 +965,42 @@ class ImageChannelMultiplyInvocation(BaseInvocation):
             width=image_dto.width,
             height=image_dto.height,
         )
+
+
+@invocation(
+    "save_image",
+    title="Save Image",
+    tags=["primitives", "image"],
+    category="primitives",
+    version="1.0.0",
+    use_cache=False,
+)
+class SaveImageInvocation(BaseInvocation):
+    """Saves an image. Unlike an image primitive, this invocation stores a copy of the image."""
+
+    image: ImageField = InputField(description="The image to load")
+    metadata: CoreMetadata = InputField(
+        default=None,
+        description=FieldDescriptions.core_metadata,
+        ui_hidden=True,
+    )
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        image = context.services.images.get_pil_image(self.image.image_name)
+
+        image_dto = context.services.images.create(
+            image=image,
+            image_origin=ResourceOrigin.INTERNAL,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+            is_intermediate=self.is_intermediate,
+            metadata=self.metadata.dict() if self.metadata else None,
+            workflow=self.workflow,
+        )
+
+        return ImageOutput(
+            image=ImageField(image_name=image_dto.image_name),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index ac15146478..3cdd43fb59 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -54,7 +54,14 @@ class DivideInvocation(BaseInvocation):
         return IntegerOutput(value=int(self.a / self.b))
 
 
-@invocation("rand_int", title="Random Integer", tags=["math", "random"], category="math", version="1.0.0")
+@invocation(
+    "rand_int",
+    title="Random Integer",
+    tags=["math", "random"],
+    category="math",
+    version="1.0.0",
+    use_cache=False,
+)
 class RandomIntInvocation(BaseInvocation):
     """Outputs a single random integer."""
 
diff --git a/invokeai/app/invocations/prompt.py b/invokeai/app/invocations/prompt.py
index 69ce1dba49..b3d482b779 100644
--- a/invokeai/app/invocations/prompt.py
+++ b/invokeai/app/invocations/prompt.py
@@ -10,7 +10,14 @@ from invokeai.app.invocations.primitives import StringCollectionOutput
 from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIComponent, invocation
 
 
-@invocation("dynamic_prompt", title="Dynamic Prompt", tags=["prompt", "collection"], category="prompt", version="1.0.0")
+@invocation(
+    "dynamic_prompt",
+    title="Dynamic Prompt",
+    tags=["prompt", "collection"],
+    category="prompt",
+    version="1.0.0",
+    use_cache=False,
+)
 class DynamicPromptInvocation(BaseInvocation):
     """Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator"""
 
diff --git a/invokeai/app/services/board_image_record_storage.py b/invokeai/app/services/board_image_record_storage.py
index d35f9f2179..c4d06ec131 100644
--- a/invokeai/app/services/board_image_record_storage.py
+++ b/invokeai/app/services/board_image_record_storage.py
@@ -53,24 +53,20 @@ class BoardImageRecordStorageBase(ABC):
 
 
 class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
-    _filename: str
     _conn: sqlite3.Connection
     _cursor: sqlite3.Cursor
     _lock: threading.Lock
 
-    def __init__(self, filename: str) -> None:
+    def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None:
         super().__init__()
-        self._filename = filename
-        self._conn = sqlite3.connect(filename, check_same_thread=False)
+        self._conn = conn
         # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
         self._conn.row_factory = sqlite3.Row
         self._cursor = self._conn.cursor()
-        self._lock = threading.Lock()
+        self._lock = lock
 
         try:
             self._lock.acquire()
-            # Enable foreign keys
-            self._conn.execute("PRAGMA foreign_keys = ON;")
             self._create_tables()
             self._conn.commit()
         finally:
diff --git a/invokeai/app/services/board_record_storage.py b/invokeai/app/services/board_record_storage.py
index f4876b6935..c12a9c8eea 100644
--- a/invokeai/app/services/board_record_storage.py
+++ b/invokeai/app/services/board_record_storage.py
@@ -1,6 +1,5 @@
 import sqlite3
 import threading
-import uuid
 from abc import ABC, abstractmethod
 from typing import Optional, Union, cast
 
@@ -8,6 +7,7 @@ from pydantic import BaseModel, Extra, Field
 
 from invokeai.app.services.image_record_storage import OffsetPaginatedResults
 from invokeai.app.services.models.board_record import BoardRecord, deserialize_board_record
+from invokeai.app.util.misc import uuid_string
 
 
 class BoardChanges(BaseModel, extra=Extra.forbid):
@@ -87,24 +87,20 @@ class BoardRecordStorageBase(ABC):
 
 
 class SqliteBoardRecordStorage(BoardRecordStorageBase):
-    _filename: str
     _conn: sqlite3.Connection
     _cursor: sqlite3.Cursor
     _lock: threading.Lock
 
-    def __init__(self, filename: str) -> None:
+    def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None:
         super().__init__()
-        self._filename = filename
-        self._conn = sqlite3.connect(filename, check_same_thread=False)
+        self._conn = conn
         # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
         self._conn.row_factory = sqlite3.Row
         self._cursor = self._conn.cursor()
-        self._lock = threading.Lock()
+        self._lock = lock
 
         try:
             self._lock.acquire()
-            # Enable foreign keys
-            self._conn.execute("PRAGMA foreign_keys = ON;")
             self._create_tables()
             self._conn.commit()
         finally:
@@ -174,7 +170,7 @@ class SqliteBoardRecordStorage(BoardRecordStorageBase):
         board_name: str,
     ) -> BoardRecord:
         try:
-            board_id = str(uuid.uuid4())
+            board_id = uuid_string()
             self._lock.acquire()
             self._cursor.execute(
                 """--sql
diff --git a/invokeai/app/services/config/base.py b/invokeai/app/services/config/base.py
index 02c6f15140..f24879af05 100644
--- a/invokeai/app/services/config/base.py
+++ b/invokeai/app/services/config/base.py
@@ -16,7 +16,7 @@ import pydoc
 import sys
 from argparse import ArgumentParser
 from pathlib import Path
-from typing import ClassVar, Dict, List, Literal, Union, get_args, get_origin, get_type_hints
+from typing import ClassVar, Dict, List, Literal, Optional, Union, get_args, get_origin, get_type_hints
 
 from omegaconf import DictConfig, ListConfig, OmegaConf
 from pydantic import BaseSettings
@@ -39,10 +39,10 @@ class InvokeAISettings(BaseSettings):
     read from an omegaconf .yaml file.
     """
 
-    initconf: ClassVar[DictConfig] = None
+    initconf: ClassVar[Optional[DictConfig]] = None
     argparse_groups: ClassVar[Dict] = {}
 
-    def parse_args(self, argv: list = sys.argv[1:]):
+    def parse_args(self, argv: Optional[list] = sys.argv[1:]):
         parser = self.get_parser()
         opt, unknown_opts = parser.parse_known_args(argv)
         if len(unknown_opts) > 0:
@@ -83,7 +83,8 @@ class InvokeAISettings(BaseSettings):
         else:
             settings_stanza = "Uncategorized"
 
-        env_prefix = cls.Config.env_prefix if hasattr(cls.Config, "env_prefix") else settings_stanza.upper()
+        env_prefix = getattr(cls.Config, "env_prefix", None)
+        env_prefix = env_prefix if env_prefix is not None else settings_stanza.upper()
 
         initconf = (
             cls.initconf.get(settings_stanza)
@@ -116,8 +117,8 @@ class InvokeAISettings(BaseSettings):
                 field.default = current_default
 
     @classmethod
-    def cmd_name(self, command_field: str = "type") -> str:
-        hints = get_type_hints(self)
+    def cmd_name(cls, command_field: str = "type") -> str:
+        hints = get_type_hints(cls)
         if command_field in hints:
             return get_args(hints[command_field])[0]
         else:
@@ -133,16 +134,12 @@ class InvokeAISettings(BaseSettings):
         return parser
 
     @classmethod
-    def add_subparser(cls, parser: argparse.ArgumentParser):
-        parser.add_parser(cls.cmd_name(), help=cls.__doc__)
-
-    @classmethod
-    def _excluded(self) -> List[str]:
+    def _excluded(cls) -> List[str]:
         # internal fields that shouldn't be exposed as command line options
         return ["type", "initconf"]
 
     @classmethod
-    def _excluded_from_yaml(self) -> List[str]:
+    def _excluded_from_yaml(cls) -> List[str]:
         # combination of deprecated parameters and internal ones that shouldn't be exposed as invokeai.yaml options
         return [
             "type",
diff --git a/invokeai/app/services/config/invokeai_config.py b/invokeai/app/services/config/invokeai_config.py
index 237aec5205..65bf9b9eba 100644
--- a/invokeai/app/services/config/invokeai_config.py
+++ b/invokeai/app/services/config/invokeai_config.py
@@ -194,8 +194,8 @@ class InvokeAIAppConfig(InvokeAISettings):
     setting environment variables INVOKEAI_<setting>.
     """
 
-    singleton_config: ClassVar[InvokeAIAppConfig] = None
-    singleton_init: ClassVar[Dict] = None
+    singleton_config: ClassVar[Optional[InvokeAIAppConfig]] = None
+    singleton_init: ClassVar[Optional[Dict]] = None
 
     # fmt: off
     type: Literal["InvokeAI"] = "InvokeAI"
@@ -234,6 +234,7 @@ class InvokeAIAppConfig(InvokeAISettings):
     # note - would be better to read the log_format values from logging.py, but this creates circular dependencies issues
     log_format          : Literal['plain', 'color', 'syslog', 'legacy'] = Field(default="color", description='Log format. Use "plain" for text-only, "color" for colorized output, "legacy" for 2.3-style logging and "syslog" for syslog-style', category="Logging")
     log_level           : Literal["debug", "info", "warning", "error", "critical"] = Field(default="info", description="Emit logging messages at this level or  higher", category="Logging")
+    log_sql             : bool = Field(default=False, description="Log SQL queries", category="Logging")
 
     dev_reload          : bool = Field(default=False, description="Automatically reload when Python sources are changed.", category="Development")
 
@@ -245,18 +246,23 @@ class InvokeAIAppConfig(InvokeAISettings):
     lazy_offload        : bool = Field(default=True, description="Keep models in VRAM until their space is needed", category="Model Cache", )
 
     # DEVICE
-    device              : Literal[tuple(["auto", "cpu", "cuda", "cuda:1", "mps"])] = Field(default="auto", description="Generation device", category="Device", )
-    precision: Literal[tuple(["auto", "float16", "float32", "autocast"])] = Field(default="auto", description="Floating point precision", category="Device", )
+    device              : Literal["auto", "cpu", "cuda", "cuda:1", "mps"] = Field(default="auto", description="Generation device", category="Device", )
+    precision           : Literal["auto", "float16", "float32", "autocast"] = Field(default="auto", description="Floating point precision", category="Device", )
 
     # GENERATION
     sequential_guidance : bool = Field(default=False, description="Whether to calculate guidance in serial instead of in parallel, lowering memory requirements", category="Generation", )
-    attention_type      : Literal[tuple(["auto", "normal", "xformers", "sliced", "torch-sdp"])] = Field(default="auto", description="Attention type", category="Generation", )
-    attention_slice_size: Literal[tuple(["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8])] = Field(default="auto", description='Slice size, valid when attention_type=="sliced"', category="Generation", )
+    attention_type      : Literal["auto", "normal", "xformers", "sliced", "torch-sdp"] = Field(default="auto", description="Attention type", category="Generation", )
+    attention_slice_size: Literal["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8] = Field(default="auto", description='Slice size, valid when attention_type=="sliced"', category="Generation", )
+    force_tiled_decode  : bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category="Generation",)
     force_tiled_decode: bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category="Generation",)
 
+    # QUEUE
+    max_queue_size      : int = Field(default=10000, gt=0, description="Maximum number of items in the session queue", category="Queue", )
+
     # NODES
     allow_nodes         : Optional[List[str]] = Field(default=None, description="List of nodes to allow. Omit to allow all.", category="Nodes")
     deny_nodes          : Optional[List[str]] = Field(default=None, description="List of nodes to deny. Omit to deny none.", category="Nodes")
+    node_cache_size     : int = Field(default=512, description="How many cached nodes to keep in memory", category="Nodes", )
 
     # DEPRECATED FIELDS - STILL HERE IN ORDER TO OBTAN VALUES FROM PRE-3.1 CONFIG FILES
     always_use_cpu      : bool = Field(default=False, description="If true, use the CPU for rendering even if a GPU is available.", category='Memory/Performance')
@@ -272,7 +278,7 @@ class InvokeAIAppConfig(InvokeAISettings):
     class Config:
         validate_assignment = True
 
-    def parse_args(self, argv: List[str] = None, conf: DictConfig = None, clobber=False):
+    def parse_args(self, argv: Optional[list[str]] = None, conf: Optional[DictConfig] = None, clobber=False):
         """
         Update settings with contents of init file, environment, and
         command-line settings.
@@ -283,12 +289,16 @@ class InvokeAIAppConfig(InvokeAISettings):
         # Set the runtime root directory. We parse command-line switches here
         # in order to pick up the --root_dir option.
         super().parse_args(argv)
+        loaded_conf = None
         if conf is None:
             try:
-                conf = OmegaConf.load(self.root_dir / INIT_FILE)
+                loaded_conf = OmegaConf.load(self.root_dir / INIT_FILE)
             except Exception:
                 pass
-        InvokeAISettings.initconf = conf
+        if isinstance(loaded_conf, DictConfig):
+            InvokeAISettings.initconf = loaded_conf
+        else:
+            InvokeAISettings.initconf = conf
 
         # parse args again in order to pick up settings in configuration file
         super().parse_args(argv)
@@ -376,13 +386,6 @@ class InvokeAIAppConfig(InvokeAISettings):
         """
         return self._resolve(self.models_dir)
 
-    @property
-    def autoconvert_path(self) -> Path:
-        """
-        Path to the directory containing models to be imported automatically at startup.
-        """
-        return self._resolve(self.autoconvert_dir) if self.autoconvert_dir else None
-
     # the following methods support legacy calls leftover from the Globals era
     @property
     def full_precision(self) -> bool:
@@ -405,11 +408,11 @@ class InvokeAIAppConfig(InvokeAISettings):
         return True
 
     @property
-    def ram_cache_size(self) -> float:
+    def ram_cache_size(self) -> Union[Literal["auto"], float]:
         return self.max_cache_size or self.ram
 
     @property
-    def vram_cache_size(self) -> float:
+    def vram_cache_size(self) -> Union[Literal["auto"], float]:
         return self.max_vram_cache_size or self.vram
 
     @property
diff --git a/invokeai/app/services/default_graphs.py b/invokeai/app/services/default_graphs.py
index 2677060655..ad8d220599 100644
--- a/invokeai/app/services/default_graphs.py
+++ b/invokeai/app/services/default_graphs.py
@@ -10,57 +10,58 @@ default_text_to_image_graph_id = "539b2af5-2b4d-4d8c-8071-e54a3255fc74"
 
 
 def create_text_to_image() -> LibraryGraph:
+    graph = Graph(
+        nodes={
+            "width": IntegerInvocation(id="width", value=512),
+            "height": IntegerInvocation(id="height", value=512),
+            "seed": IntegerInvocation(id="seed", value=-1),
+            "3": NoiseInvocation(id="3"),
+            "4": CompelInvocation(id="4"),
+            "5": CompelInvocation(id="5"),
+            "6": DenoiseLatentsInvocation(id="6"),
+            "7": LatentsToImageInvocation(id="7"),
+            "8": ImageNSFWBlurInvocation(id="8"),
+        },
+        edges=[
+            Edge(
+                source=EdgeConnection(node_id="width", field="value"),
+                destination=EdgeConnection(node_id="3", field="width"),
+            ),
+            Edge(
+                source=EdgeConnection(node_id="height", field="value"),
+                destination=EdgeConnection(node_id="3", field="height"),
+            ),
+            Edge(
+                source=EdgeConnection(node_id="seed", field="value"),
+                destination=EdgeConnection(node_id="3", field="seed"),
+            ),
+            Edge(
+                source=EdgeConnection(node_id="3", field="noise"),
+                destination=EdgeConnection(node_id="6", field="noise"),
+            ),
+            Edge(
+                source=EdgeConnection(node_id="6", field="latents"),
+                destination=EdgeConnection(node_id="7", field="latents"),
+            ),
+            Edge(
+                source=EdgeConnection(node_id="4", field="conditioning"),
+                destination=EdgeConnection(node_id="6", field="positive_conditioning"),
+            ),
+            Edge(
+                source=EdgeConnection(node_id="5", field="conditioning"),
+                destination=EdgeConnection(node_id="6", field="negative_conditioning"),
+            ),
+            Edge(
+                source=EdgeConnection(node_id="7", field="image"),
+                destination=EdgeConnection(node_id="8", field="image"),
+            ),
+        ],
+    )
     return LibraryGraph(
         id=default_text_to_image_graph_id,
         name="t2i",
         description="Converts text to an image",
-        graph=Graph(
-            nodes={
-                "width": IntegerInvocation(id="width", value=512),
-                "height": IntegerInvocation(id="height", value=512),
-                "seed": IntegerInvocation(id="seed", value=-1),
-                "3": NoiseInvocation(id="3"),
-                "4": CompelInvocation(id="4"),
-                "5": CompelInvocation(id="5"),
-                "6": DenoiseLatentsInvocation(id="6"),
-                "7": LatentsToImageInvocation(id="7"),
-                "8": ImageNSFWBlurInvocation(id="8"),
-            },
-            edges=[
-                Edge(
-                    source=EdgeConnection(node_id="width", field="value"),
-                    destination=EdgeConnection(node_id="3", field="width"),
-                ),
-                Edge(
-                    source=EdgeConnection(node_id="height", field="value"),
-                    destination=EdgeConnection(node_id="3", field="height"),
-                ),
-                Edge(
-                    source=EdgeConnection(node_id="seed", field="value"),
-                    destination=EdgeConnection(node_id="3", field="seed"),
-                ),
-                Edge(
-                    source=EdgeConnection(node_id="3", field="noise"),
-                    destination=EdgeConnection(node_id="6", field="noise"),
-                ),
-                Edge(
-                    source=EdgeConnection(node_id="6", field="latents"),
-                    destination=EdgeConnection(node_id="7", field="latents"),
-                ),
-                Edge(
-                    source=EdgeConnection(node_id="4", field="conditioning"),
-                    destination=EdgeConnection(node_id="6", field="positive_conditioning"),
-                ),
-                Edge(
-                    source=EdgeConnection(node_id="5", field="conditioning"),
-                    destination=EdgeConnection(node_id="6", field="negative_conditioning"),
-                ),
-                Edge(
-                    source=EdgeConnection(node_id="7", field="image"),
-                    destination=EdgeConnection(node_id="8", field="image"),
-                ),
-            ],
-        ),
+        graph=graph,
         exposed_inputs=[
             ExposedNodeInput(node_path="4", field="prompt", alias="positive_prompt"),
             ExposedNodeInput(node_path="5", field="prompt", alias="negative_prompt"),
diff --git a/invokeai/app/services/events.py b/invokeai/app/services/events.py
index 2bfe9b7c3d..260ff4b173 100644
--- a/invokeai/app/services/events.py
+++ b/invokeai/app/services/events.py
@@ -4,21 +4,23 @@ from typing import Any, Optional
 
 from invokeai.app.models.image import ProgressImage
 from invokeai.app.services.model_manager_service import BaseModelType, ModelInfo, ModelType, SubModelType
+from invokeai.app.services.session_queue.session_queue_common import EnqueueBatchResult, SessionQueueItem
 from invokeai.app.util.misc import get_timestamp
 
 
 class EventServiceBase:
-    session_event: str = "session_event"
+    queue_event: str = "queue_event"
 
     """Basic event bus, to have an empty stand-in when not needed"""
 
     def dispatch(self, event_name: str, payload: Any) -> None:
         pass
 
-    def __emit_session_event(self, event_name: str, payload: dict) -> None:
+    def __emit_queue_event(self, event_name: str, payload: dict) -> None:
+        """Queue events are emitted to a room with queue_id as the room name"""
         payload["timestamp"] = get_timestamp()
         self.dispatch(
-            event_name=EventServiceBase.session_event,
+            event_name=EventServiceBase.queue_event,
             payload=dict(event=event_name, data=payload),
         )
 
@@ -26,6 +28,8 @@ class EventServiceBase:
     # This will make them easier to integrate until we find a schema generator.
     def emit_generator_progress(
         self,
+        queue_id: str,
+        queue_item_id: int,
         graph_execution_state_id: str,
         node: dict,
         source_node_id: str,
@@ -35,11 +39,13 @@ class EventServiceBase:
         total_steps: int,
     ) -> None:
         """Emitted when there is generation progress"""
-        self.__emit_session_event(
+        self.__emit_queue_event(
             event_name="generator_progress",
             payload=dict(
+                queue_id=queue_id,
+                queue_item_id=queue_item_id,
                 graph_execution_state_id=graph_execution_state_id,
-                node=node,
+                node_id=node.get("id"),
                 source_node_id=source_node_id,
                 progress_image=progress_image.dict() if progress_image is not None else None,
                 step=step,
@@ -50,15 +56,19 @@ class EventServiceBase:
 
     def emit_invocation_complete(
         self,
+        queue_id: str,
+        queue_item_id: int,
         graph_execution_state_id: str,
         result: dict,
         node: dict,
         source_node_id: str,
     ) -> None:
         """Emitted when an invocation has completed"""
-        self.__emit_session_event(
+        self.__emit_queue_event(
             event_name="invocation_complete",
             payload=dict(
+                queue_id=queue_id,
+                queue_item_id=queue_item_id,
                 graph_execution_state_id=graph_execution_state_id,
                 node=node,
                 source_node_id=source_node_id,
@@ -68,6 +78,8 @@ class EventServiceBase:
 
     def emit_invocation_error(
         self,
+        queue_id: str,
+        queue_item_id: int,
         graph_execution_state_id: str,
         node: dict,
         source_node_id: str,
@@ -75,9 +87,11 @@ class EventServiceBase:
         error: str,
     ) -> None:
         """Emitted when an invocation has completed"""
-        self.__emit_session_event(
+        self.__emit_queue_event(
             event_name="invocation_error",
             payload=dict(
+                queue_id=queue_id,
+                queue_item_id=queue_item_id,
                 graph_execution_state_id=graph_execution_state_id,
                 node=node,
                 source_node_id=source_node_id,
@@ -86,28 +100,36 @@ class EventServiceBase:
             ),
         )
 
-    def emit_invocation_started(self, graph_execution_state_id: str, node: dict, source_node_id: str) -> None:
+    def emit_invocation_started(
+        self, queue_id: str, queue_item_id: int, graph_execution_state_id: str, node: dict, source_node_id: str
+    ) -> None:
         """Emitted when an invocation has started"""
-        self.__emit_session_event(
+        self.__emit_queue_event(
             event_name="invocation_started",
             payload=dict(
+                queue_id=queue_id,
+                queue_item_id=queue_item_id,
                 graph_execution_state_id=graph_execution_state_id,
                 node=node,
                 source_node_id=source_node_id,
             ),
         )
 
-    def emit_graph_execution_complete(self, graph_execution_state_id: str) -> None:
+    def emit_graph_execution_complete(self, queue_id: str, queue_item_id: int, graph_execution_state_id: str) -> None:
         """Emitted when a session has completed all invocations"""
-        self.__emit_session_event(
+        self.__emit_queue_event(
             event_name="graph_execution_state_complete",
             payload=dict(
+                queue_id=queue_id,
+                queue_item_id=queue_item_id,
                 graph_execution_state_id=graph_execution_state_id,
             ),
         )
 
     def emit_model_load_started(
         self,
+        queue_id: str,
+        queue_item_id: int,
         graph_execution_state_id: str,
         model_name: str,
         base_model: BaseModelType,
@@ -115,9 +137,11 @@ class EventServiceBase:
         submodel: SubModelType,
     ) -> None:
         """Emitted when a model is requested"""
-        self.__emit_session_event(
+        self.__emit_queue_event(
             event_name="model_load_started",
             payload=dict(
+                queue_id=queue_id,
+                queue_item_id=queue_item_id,
                 graph_execution_state_id=graph_execution_state_id,
                 model_name=model_name,
                 base_model=base_model,
@@ -128,6 +152,8 @@ class EventServiceBase:
 
     def emit_model_load_completed(
         self,
+        queue_id: str,
+        queue_item_id: int,
         graph_execution_state_id: str,
         model_name: str,
         base_model: BaseModelType,
@@ -136,9 +162,11 @@ class EventServiceBase:
         model_info: ModelInfo,
     ) -> None:
         """Emitted when a model is correctly loaded (returns model info)"""
-        self.__emit_session_event(
+        self.__emit_queue_event(
             event_name="model_load_completed",
             payload=dict(
+                queue_id=queue_id,
+                queue_item_id=queue_item_id,
                 graph_execution_state_id=graph_execution_state_id,
                 model_name=model_name,
                 base_model=base_model,
@@ -152,14 +180,18 @@ class EventServiceBase:
 
     def emit_session_retrieval_error(
         self,
+        queue_id: str,
+        queue_item_id: int,
         graph_execution_state_id: str,
         error_type: str,
         error: str,
     ) -> None:
         """Emitted when session retrieval fails"""
-        self.__emit_session_event(
+        self.__emit_queue_event(
             event_name="session_retrieval_error",
             payload=dict(
+                queue_id=queue_id,
+                queue_item_id=queue_item_id,
                 graph_execution_state_id=graph_execution_state_id,
                 error_type=error_type,
                 error=error,
@@ -168,18 +200,74 @@ class EventServiceBase:
 
     def emit_invocation_retrieval_error(
         self,
+        queue_id: str,
+        queue_item_id: int,
         graph_execution_state_id: str,
         node_id: str,
         error_type: str,
         error: str,
     ) -> None:
         """Emitted when invocation retrieval fails"""
-        self.__emit_session_event(
+        self.__emit_queue_event(
             event_name="invocation_retrieval_error",
             payload=dict(
+                queue_id=queue_id,
+                queue_item_id=queue_item_id,
                 graph_execution_state_id=graph_execution_state_id,
                 node_id=node_id,
                 error_type=error_type,
                 error=error,
             ),
         )
+
+    def emit_session_canceled(
+        self,
+        queue_id: str,
+        queue_item_id: int,
+        graph_execution_state_id: str,
+    ) -> None:
+        """Emitted when a session is canceled"""
+        self.__emit_queue_event(
+            event_name="session_canceled",
+            payload=dict(
+                queue_id=queue_id,
+                queue_item_id=queue_item_id,
+                graph_execution_state_id=graph_execution_state_id,
+            ),
+        )
+
+    def emit_queue_item_status_changed(self, session_queue_item: SessionQueueItem) -> None:
+        """Emitted when a queue item's status changes"""
+        self.__emit_queue_event(
+            event_name="queue_item_status_changed",
+            payload=dict(
+                queue_id=session_queue_item.queue_id,
+                queue_item_id=session_queue_item.item_id,
+                status=session_queue_item.status,
+                batch_id=session_queue_item.batch_id,
+                session_id=session_queue_item.session_id,
+                error=session_queue_item.error,
+                created_at=str(session_queue_item.created_at) if session_queue_item.created_at else None,
+                updated_at=str(session_queue_item.updated_at) if session_queue_item.updated_at else None,
+                started_at=str(session_queue_item.started_at) if session_queue_item.started_at else None,
+                completed_at=str(session_queue_item.completed_at) if session_queue_item.completed_at else None,
+            ),
+        )
+
+    def emit_batch_enqueued(self, enqueue_result: EnqueueBatchResult) -> None:
+        """Emitted when a batch is enqueued"""
+        self.__emit_queue_event(
+            event_name="batch_enqueued",
+            payload=dict(
+                queue_id=enqueue_result.queue_id,
+                batch_id=enqueue_result.batch.batch_id,
+                enqueued=enqueue_result.enqueued,
+            ),
+        )
+
+    def emit_queue_cleared(self, queue_id: str) -> None:
+        """Emitted when the queue is cleared"""
+        self.__emit_queue_event(
+            event_name="queue_cleared",
+            payload=dict(queue_id=queue_id),
+        )
diff --git a/invokeai/app/services/graph.py b/invokeai/app/services/graph.py
index 90f0ec51d1..2a5fc4c441 100644
--- a/invokeai/app/services/graph.py
+++ b/invokeai/app/services/graph.py
@@ -2,13 +2,14 @@
 
 import copy
 import itertools
-import uuid
-from typing import Annotated, Any, Optional, Union, get_args, get_origin, get_type_hints
+from typing import Annotated, Any, Optional, Union, cast, get_args, get_origin, get_type_hints
 
 import networkx as nx
 from pydantic import BaseModel, root_validator, validator
 from pydantic.fields import Field
 
+from invokeai.app.util.misc import uuid_string
+
 # Importing * is bad karma but needed here for node detection
 from ..invocations import *  # noqa: F401 F403
 from ..invocations.baseinvocation import (
@@ -137,19 +138,31 @@ def are_connections_compatible(
     return are_connection_types_compatible(from_node_field, to_node_field)
 
 
-class NodeAlreadyInGraphError(Exception):
+class NodeAlreadyInGraphError(ValueError):
     pass
 
 
-class InvalidEdgeError(Exception):
+class InvalidEdgeError(ValueError):
     pass
 
 
-class NodeNotFoundError(Exception):
+class NodeNotFoundError(ValueError):
     pass
 
 
-class NodeAlreadyExecutedError(Exception):
+class NodeAlreadyExecutedError(ValueError):
+    pass
+
+
+class DuplicateNodeIdError(ValueError):
+    pass
+
+
+class NodeFieldNotFoundError(ValueError):
+    pass
+
+
+class NodeIdMismatchError(ValueError):
     pass
 
 
@@ -227,7 +240,7 @@ InvocationOutputsUnion = Union[BaseInvocationOutput.get_all_subclasses_tuple()]
 
 
 class Graph(BaseModel):
-    id: str = Field(description="The id of this graph", default_factory=lambda: uuid.uuid4().__str__())
+    id: str = Field(description="The id of this graph", default_factory=uuid_string)
     # TODO: use a list (and never use dict in a BaseModel) because pydantic/fastapi hates me
     nodes: dict[str, Annotated[InvocationsUnion, Field(discriminator="type")]] = Field(
         description="The nodes in this graph", default_factory=dict
@@ -237,6 +250,59 @@ class Graph(BaseModel):
         default_factory=list,
     )
 
+    @root_validator
+    def validate_nodes_and_edges(cls, values):
+        """Validates that all edges match nodes in the graph"""
+        nodes = cast(Optional[dict[str, BaseInvocation]], values.get("nodes"))
+        edges = cast(Optional[list[Edge]], values.get("edges"))
+
+        if nodes is not None:
+            # Validate that all node ids are unique
+            node_ids = [n.id for n in nodes.values()]
+            duplicate_node_ids = set([node_id for node_id in node_ids if node_ids.count(node_id) >= 2])
+            if duplicate_node_ids:
+                raise DuplicateNodeIdError(f"Node ids must be unique, found duplicates {duplicate_node_ids}")
+
+            # Validate that all node ids match the keys in the nodes dict
+            for k, v in nodes.items():
+                if k != v.id:
+                    raise NodeIdMismatchError(f"Node ids must match, got {k} and {v.id}")
+
+        if edges is not None and nodes is not None:
+            # Validate that all edges match nodes in the graph
+            node_ids = set([e.source.node_id for e in edges] + [e.destination.node_id for e in edges])
+            missing_node_ids = [node_id for node_id in node_ids if node_id not in nodes]
+            if missing_node_ids:
+                raise NodeNotFoundError(
+                    f"All edges must reference nodes in the graph, missing nodes: {missing_node_ids}"
+                )
+
+            # Validate that all edge fields match node fields in the graph
+            for edge in edges:
+                source_node = nodes.get(edge.source.node_id, None)
+                if source_node is None:
+                    raise NodeFieldNotFoundError(f"Edge source node {edge.source.node_id} does not exist in the graph")
+
+                destination_node = nodes.get(edge.destination.node_id, None)
+                if destination_node is None:
+                    raise NodeFieldNotFoundError(
+                        f"Edge destination node {edge.destination.node_id} does not exist in the graph"
+                    )
+
+                # output fields are not on the node object directly, they are on the output type
+                if edge.source.field not in source_node.get_output_type().__fields__:
+                    raise NodeFieldNotFoundError(
+                        f"Edge source field {edge.source.field} does not exist in node {edge.source.node_id}"
+                    )
+
+                # input fields are on the node
+                if edge.destination.field not in destination_node.__fields__:
+                    raise NodeFieldNotFoundError(
+                        f"Edge destination field {edge.destination.field} does not exist in node {edge.destination.node_id}"
+                    )
+
+        return values
+
     def add_node(self, node: BaseInvocation) -> None:
         """Adds a node to a graph
 
@@ -697,8 +763,7 @@ class Graph(BaseModel):
 class GraphExecutionState(BaseModel):
     """Tracks the state of a graph execution"""
 
-    id: str = Field(description="The id of the execution state", default_factory=lambda: uuid.uuid4().__str__())
-
+    id: str = Field(description="The id of the execution state", default_factory=uuid_string)
     # TODO: Store a reference to the graph instead of the actual graph?
     graph: Graph = Field(description="The graph being executed")
 
@@ -847,7 +912,7 @@ class GraphExecutionState(BaseModel):
             new_node = copy.deepcopy(node)
 
             # Create the node id (use a random uuid)
-            new_node.id = str(uuid.uuid4())
+            new_node.id = uuid_string()
 
             # Set the iteration index for iteration invocations
             if isinstance(new_node, IterateInvocation):
@@ -1082,7 +1147,7 @@ class ExposedNodeOutput(BaseModel):
 
 
 class LibraryGraph(BaseModel):
-    id: str = Field(description="The unique identifier for this library graph", default_factory=uuid.uuid4)
+    id: str = Field(description="The unique identifier for this library graph", default_factory=uuid_string)
     graph: Graph = Field(description="The graph")
     name: str = Field(description="The name of the graph")
     description: str = Field(description="The description of the graph")
diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_record_storage.py
index b9982fcfdc..f743fd1fe2 100644
--- a/invokeai/app/services/image_record_storage.py
+++ b/invokeai/app/services/image_record_storage.py
@@ -148,24 +148,20 @@ class ImageRecordStorageBase(ABC):
 
 
 class SqliteImageRecordStorage(ImageRecordStorageBase):
-    _filename: str
     _conn: sqlite3.Connection
     _cursor: sqlite3.Cursor
     _lock: threading.Lock
 
-    def __init__(self, filename: str) -> None:
+    def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None:
         super().__init__()
-        self._filename = filename
-        self._conn = sqlite3.connect(filename, check_same_thread=False)
+        self._conn = conn
         # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
         self._conn.row_factory = sqlite3.Row
         self._cursor = self._conn.cursor()
-        self._lock = threading.Lock()
+        self._lock = lock
 
         try:
             self._lock.acquire()
-            # Enable foreign keys
-            self._conn.execute("PRAGMA foreign_keys = ON;")
             self._create_tables()
             self._conn.commit()
         finally:
diff --git a/invokeai/app/services/invocation_cache/__init__.py b/invokeai/app/services/invocation_cache/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/invocation_cache/invocation_cache_base.py b/invokeai/app/services/invocation_cache/invocation_cache_base.py
new file mode 100644
index 0000000000..e60284378e
--- /dev/null
+++ b/invokeai/app/services/invocation_cache/invocation_cache_base.py
@@ -0,0 +1,29 @@
+from abc import ABC, abstractmethod
+from typing import Optional, Union
+
+from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput
+
+
+class InvocationCacheBase(ABC):
+    """Base class for invocation caches."""
+
+    @abstractmethod
+    def get(self, key: Union[int, str]) -> Optional[BaseInvocationOutput]:
+        """Retrieves and invocation output from the cache"""
+        pass
+
+    @abstractmethod
+    def save(self, key: Union[int, str], value: BaseInvocationOutput) -> None:
+        """Stores an invocation output in the cache"""
+        pass
+
+    @abstractmethod
+    def delete(self, key: Union[int, str]) -> None:
+        """Deleted an invocation output from the cache"""
+        pass
+
+    @classmethod
+    @abstractmethod
+    def create_key(cls, value: BaseInvocation) -> Union[int, str]:
+        """Creates the cache key for an invocation"""
+        pass
diff --git a/invokeai/app/services/invocation_cache/invocation_cache_memory.py b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
new file mode 100644
index 0000000000..8dd59cd5b7
--- /dev/null
+++ b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
@@ -0,0 +1,46 @@
+from queue import Queue
+from typing import Optional, Union
+
+from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput
+from invokeai.app.services.invocation_cache.invocation_cache_base import InvocationCacheBase
+
+
+class MemoryInvocationCache(InvocationCacheBase):
+    __cache: dict[Union[int, str], BaseInvocationOutput]
+    __max_cache_size: int
+    __cache_ids: Queue
+
+    def __init__(self, max_cache_size: int = 512) -> None:
+        self.__cache = dict()
+        self.__max_cache_size = max_cache_size
+        self.__cache_ids = Queue()
+
+    def get(self, key: Union[int, str]) -> Optional[BaseInvocationOutput]:
+        if self.__max_cache_size == 0:
+            return None
+
+        return self.__cache.get(key, None)
+
+    def save(self, key: Union[int, str], value: BaseInvocationOutput) -> None:
+        if self.__max_cache_size == 0:
+            return None
+
+        if key not in self.__cache:
+            self.__cache[key] = value
+            self.__cache_ids.put(key)
+            if self.__cache_ids.qsize() > self.__max_cache_size:
+                try:
+                    self.__cache.pop(self.__cache_ids.get())
+                except KeyError:
+                    pass
+
+    def delete(self, key: Union[int, str]) -> None:
+        if self.__max_cache_size == 0:
+            return None
+
+        if key in self.__cache:
+            del self.__cache[key]
+
+    @classmethod
+    def create_key(cls, value: BaseInvocation) -> Union[int, str]:
+        return hash(value.json(exclude={"id"}))
diff --git a/invokeai/app/services/invocation_queue.py b/invokeai/app/services/invocation_queue.py
index 2fe5f60826..0819d90748 100644
--- a/invokeai/app/services/invocation_queue.py
+++ b/invokeai/app/services/invocation_queue.py
@@ -11,6 +11,10 @@ from pydantic import BaseModel, Field
 class InvocationQueueItem(BaseModel):
     graph_execution_state_id: str = Field(description="The ID of the graph execution state")
     invocation_id: str = Field(description="The ID of the node being invoked")
+    session_queue_id: str = Field(description="The ID of the session queue from which this invocation queue item came")
+    session_queue_item_id: int = Field(
+        description="The ID of session queue item from which this invocation queue item came"
+    )
     invoke_all: bool = Field(default=False)
     timestamp: float = Field(default_factory=time.time)
 
diff --git a/invokeai/app/services/invocation_services.py b/invokeai/app/services/invocation_services.py
index a4ec3573f5..e496ff80f2 100644
--- a/invokeai/app/services/invocation_services.py
+++ b/invokeai/app/services/invocation_services.py
@@ -12,12 +12,15 @@ if TYPE_CHECKING:
     from invokeai.app.services.events import EventServiceBase
     from invokeai.app.services.graph import GraphExecutionState, LibraryGraph
     from invokeai.app.services.images import ImageServiceABC
+    from invokeai.app.services.invocation_cache.invocation_cache_base import InvocationCacheBase
     from invokeai.app.services.invocation_queue import InvocationQueueABC
     from invokeai.app.services.invocation_stats import InvocationStatsServiceBase
     from invokeai.app.services.invoker import InvocationProcessorABC
     from invokeai.app.services.item_storage import ItemStorageABC
     from invokeai.app.services.latent_storage import LatentsStorageBase
     from invokeai.app.services.model_manager_service import ModelManagerServiceBase
+    from invokeai.app.services.session_processor.session_processor_base import SessionProcessorBase
+    from invokeai.app.services.session_queue.session_queue_base import SessionQueueBase
 
 
 class InvocationServices:
@@ -28,8 +31,8 @@ class InvocationServices:
     boards: "BoardServiceABC"
     configuration: "InvokeAIAppConfig"
     events: "EventServiceBase"
-    graph_execution_manager: "ItemStorageABC"["GraphExecutionState"]
-    graph_library: "ItemStorageABC"["LibraryGraph"]
+    graph_execution_manager: "ItemStorageABC[GraphExecutionState]"
+    graph_library: "ItemStorageABC[LibraryGraph]"
     images: "ImageServiceABC"
     latents: "LatentsStorageBase"
     logger: "Logger"
@@ -37,6 +40,9 @@ class InvocationServices:
     processor: "InvocationProcessorABC"
     performance_statistics: "InvocationStatsServiceBase"
     queue: "InvocationQueueABC"
+    session_queue: "SessionQueueBase"
+    session_processor: "SessionProcessorBase"
+    invocation_cache: "InvocationCacheBase"
 
     def __init__(
         self,
@@ -44,8 +50,8 @@ class InvocationServices:
         boards: "BoardServiceABC",
         configuration: "InvokeAIAppConfig",
         events: "EventServiceBase",
-        graph_execution_manager: "ItemStorageABC"["GraphExecutionState"],
-        graph_library: "ItemStorageABC"["LibraryGraph"],
+        graph_execution_manager: "ItemStorageABC[GraphExecutionState]",
+        graph_library: "ItemStorageABC[LibraryGraph]",
         images: "ImageServiceABC",
         latents: "LatentsStorageBase",
         logger: "Logger",
@@ -53,10 +59,12 @@ class InvocationServices:
         processor: "InvocationProcessorABC",
         performance_statistics: "InvocationStatsServiceBase",
         queue: "InvocationQueueABC",
+        session_queue: "SessionQueueBase",
+        session_processor: "SessionProcessorBase",
+        invocation_cache: "InvocationCacheBase",
     ):
         self.board_images = board_images
         self.boards = boards
-        self.boards = boards
         self.configuration = configuration
         self.events = events
         self.graph_execution_manager = graph_execution_manager
@@ -68,3 +76,6 @@ class InvocationServices:
         self.processor = processor
         self.performance_statistics = performance_statistics
         self.queue = queue
+        self.session_queue = session_queue
+        self.session_processor = session_processor
+        self.invocation_cache = invocation_cache
diff --git a/invokeai/app/services/invoker.py b/invokeai/app/services/invoker.py
index 1a7b0de27e..1466fd0142 100644
--- a/invokeai/app/services/invoker.py
+++ b/invokeai/app/services/invoker.py
@@ -17,7 +17,9 @@ class Invoker:
         self.services = services
         self._start()
 
-    def invoke(self, graph_execution_state: GraphExecutionState, invoke_all: bool = False) -> Optional[str]:
+    def invoke(
+        self, queue_id: str, queue_item_id: int, graph_execution_state: GraphExecutionState, invoke_all: bool = False
+    ) -> Optional[str]:
         """Determines the next node to invoke and enqueues it, preparing if needed.
         Returns the id of the queued node, or `None` if there are no nodes left to enqueue."""
 
@@ -32,7 +34,8 @@ class Invoker:
         # Queue the invocation
         self.services.queue.put(
             InvocationQueueItem(
-                # session_id    = session.id,
+                session_queue_item_id=queue_item_id,
+                session_queue_id=queue_id,
                 graph_execution_state_id=graph_execution_state.id,
                 invocation_id=invocation.id,
                 invoke_all=invoke_all,
diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager_service.py
index a7745a9253..d7d274aec0 100644
--- a/invokeai/app/services/model_manager_service.py
+++ b/invokeai/app/services/model_manager_service.py
@@ -525,7 +525,7 @@ class ModelManagerService(ModelManagerServiceBase):
 
     def _emit_load_event(
         self,
-        context,
+        context: InvocationContext,
         model_name: str,
         base_model: BaseModelType,
         model_type: ModelType,
@@ -537,6 +537,8 @@ class ModelManagerService(ModelManagerServiceBase):
 
         if model_info:
             context.services.events.emit_model_load_completed(
+                queue_id=context.queue_id,
+                queue_item_id=context.queue_item_id,
                 graph_execution_state_id=context.graph_execution_state_id,
                 model_name=model_name,
                 base_model=base_model,
@@ -546,6 +548,8 @@ class ModelManagerService(ModelManagerServiceBase):
             )
         else:
             context.services.events.emit_model_load_started(
+                queue_id=context.queue_id,
+                queue_item_id=context.queue_item_id,
                 graph_execution_state_id=context.graph_execution_state_id,
                 model_name=model_name,
                 base_model=base_model,
diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py
index 37da17d318..54531be85c 100644
--- a/invokeai/app/services/processor.py
+++ b/invokeai/app/services/processor.py
@@ -1,6 +1,7 @@
 import time
 import traceback
 from threading import BoundedSemaphore, Event, Thread
+from typing import Optional
 
 import invokeai.backend.util.logging as logger
 
@@ -37,10 +38,11 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
         try:
             self.__threadLimit.acquire()
             statistics: InvocationStatsServiceBase = self.__invoker.services.performance_statistics
+            queue_item: Optional[InvocationQueueItem] = None
 
             while not stop_event.is_set():
                 try:
-                    queue_item: InvocationQueueItem = self.__invoker.services.queue.get()
+                    queue_item = self.__invoker.services.queue.get()
                 except Exception as e:
                     self.__invoker.services.logger.error("Exception while getting from queue:\n%s" % e)
 
@@ -48,7 +50,6 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                     # do not hammer the queue
                     time.sleep(0.5)
                     continue
-
                 try:
                     graph_execution_state = self.__invoker.services.graph_execution_manager.get(
                         queue_item.graph_execution_state_id
@@ -56,6 +57,8 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                 except Exception as e:
                     self.__invoker.services.logger.error("Exception while retrieving session:\n%s" % e)
                     self.__invoker.services.events.emit_session_retrieval_error(
+                        queue_item_id=queue_item.session_queue_item_id,
+                        queue_id=queue_item.session_queue_id,
                         graph_execution_state_id=queue_item.graph_execution_state_id,
                         error_type=e.__class__.__name__,
                         error=traceback.format_exc(),
@@ -67,6 +70,8 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                 except Exception as e:
                     self.__invoker.services.logger.error("Exception while retrieving invocation:\n%s" % e)
                     self.__invoker.services.events.emit_invocation_retrieval_error(
+                        queue_item_id=queue_item.session_queue_item_id,
+                        queue_id=queue_item.session_queue_id,
                         graph_execution_state_id=queue_item.graph_execution_state_id,
                         node_id=queue_item.invocation_id,
                         error_type=e.__class__.__name__,
@@ -79,6 +84,8 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
 
                 # Send starting event
                 self.__invoker.services.events.emit_invocation_started(
+                    queue_item_id=queue_item.session_queue_item_id,
+                    queue_id=queue_item.session_queue_id,
                     graph_execution_state_id=graph_execution_state.id,
                     node=invocation.dict(),
                     source_node_id=source_node_id,
@@ -89,13 +96,16 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                     graph_id = graph_execution_state.id
                     model_manager = self.__invoker.services.model_manager
                     with statistics.collect_stats(invocation, graph_id, model_manager):
-                        # use the internal invoke_internal(), which wraps the node's invoke() method in
-                        # this accomodates nodes which require a value, but get it only from a
-                        # connection
+                        # use the internal invoke_internal(), which wraps the node's invoke() method,
+                        # which handles a few things:
+                        # - nodes that require a value, but get it only from a connection
+                        # - referencing the invocation cache instead of executing the node
                         outputs = invocation.invoke_internal(
                             InvocationContext(
                                 services=self.__invoker.services,
                                 graph_execution_state_id=graph_execution_state.id,
+                                queue_item_id=queue_item.session_queue_item_id,
+                                queue_id=queue_item.session_queue_id,
                             )
                         )
 
@@ -111,6 +121,8 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
 
                         # Send complete event
                         self.__invoker.services.events.emit_invocation_complete(
+                            queue_item_id=queue_item.session_queue_item_id,
+                            queue_id=queue_item.session_queue_id,
                             graph_execution_state_id=graph_execution_state.id,
                             node=invocation.dict(),
                             source_node_id=source_node_id,
@@ -138,6 +150,8 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                     self.__invoker.services.logger.error("Error while invoking:\n%s" % e)
                     # Send error event
                     self.__invoker.services.events.emit_invocation_error(
+                        queue_item_id=queue_item.session_queue_item_id,
+                        queue_id=queue_item.session_queue_id,
                         graph_execution_state_id=graph_execution_state.id,
                         node=invocation.dict(),
                         source_node_id=source_node_id,
@@ -155,10 +169,17 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                 is_complete = graph_execution_state.is_complete()
                 if queue_item.invoke_all and not is_complete:
                     try:
-                        self.__invoker.invoke(graph_execution_state, invoke_all=True)
+                        self.__invoker.invoke(
+                            queue_item_id=queue_item.session_queue_item_id,
+                            queue_id=queue_item.session_queue_id,
+                            graph_execution_state=graph_execution_state,
+                            invoke_all=True,
+                        )
                     except Exception as e:
                         self.__invoker.services.logger.error("Error while invoking:\n%s" % e)
                         self.__invoker.services.events.emit_invocation_error(
+                            queue_item_id=queue_item.session_queue_item_id,
+                            queue_id=queue_item.session_queue_id,
                             graph_execution_state_id=graph_execution_state.id,
                             node=invocation.dict(),
                             source_node_id=source_node_id,
@@ -166,7 +187,11 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                             error=traceback.format_exc(),
                         )
                 elif is_complete:
-                    self.__invoker.services.events.emit_graph_execution_complete(graph_execution_state.id)
+                    self.__invoker.services.events.emit_graph_execution_complete(
+                        queue_item_id=queue_item.session_queue_item_id,
+                        queue_id=queue_item.session_queue_id,
+                        graph_execution_state_id=graph_execution_state.id,
+                    )
 
         except KeyboardInterrupt:
             pass  # Log something? KeyboardInterrupt is probably not going to be seen by the processor
diff --git a/invokeai/app/services/resource_name.py b/invokeai/app/services/resource_name.py
index c89c06edc3..a17b1a084e 100644
--- a/invokeai/app/services/resource_name.py
+++ b/invokeai/app/services/resource_name.py
@@ -1,7 +1,8 @@
-import uuid
 from abc import ABC, abstractmethod
 from enum import Enum, EnumMeta
 
+from invokeai.app.util.misc import uuid_string
+
 
 class ResourceType(str, Enum, metaclass=EnumMeta):
     """Enum for resource types."""
@@ -25,6 +26,6 @@ class SimpleNameService(NameServiceBase):
 
     # TODO: Add customizable naming schemes
     def create_image_name(self) -> str:
-        uuid_str = str(uuid.uuid4())
+        uuid_str = uuid_string()
         filename = f"{uuid_str}.png"
         return filename
diff --git a/invokeai/app/services/session_processor/__init__.py b/invokeai/app/services/session_processor/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/session_processor/session_processor_base.py b/invokeai/app/services/session_processor/session_processor_base.py
new file mode 100644
index 0000000000..485ef2f8c3
--- /dev/null
+++ b/invokeai/app/services/session_processor/session_processor_base.py
@@ -0,0 +1,28 @@
+from abc import ABC, abstractmethod
+
+from invokeai.app.services.session_processor.session_processor_common import SessionProcessorStatus
+
+
+class SessionProcessorBase(ABC):
+    """
+    Base class for session processor.
+
+    The session processor is responsible for executing sessions. It runs a simple polling loop,
+    checking the session queue for new sessions to execute. It must coordinate with the
+    invocation queue to ensure only one session is executing at a time.
+    """
+
+    @abstractmethod
+    def resume(self) -> SessionProcessorStatus:
+        """Starts or resumes the session processor"""
+        pass
+
+    @abstractmethod
+    def pause(self) -> SessionProcessorStatus:
+        """Pauses the session processor"""
+        pass
+
+    @abstractmethod
+    def get_status(self) -> SessionProcessorStatus:
+        """Gets the status of the session processor"""
+        pass
diff --git a/invokeai/app/services/session_processor/session_processor_common.py b/invokeai/app/services/session_processor/session_processor_common.py
new file mode 100644
index 0000000000..00195a773f
--- /dev/null
+++ b/invokeai/app/services/session_processor/session_processor_common.py
@@ -0,0 +1,6 @@
+from pydantic import BaseModel, Field
+
+
+class SessionProcessorStatus(BaseModel):
+    is_started: bool = Field(description="Whether the session processor is started")
+    is_processing: bool = Field(description="Whether a session is being processed")
diff --git a/invokeai/app/services/session_processor/session_processor_default.py b/invokeai/app/services/session_processor/session_processor_default.py
new file mode 100644
index 0000000000..92b68aeae7
--- /dev/null
+++ b/invokeai/app/services/session_processor/session_processor_default.py
@@ -0,0 +1,123 @@
+from threading import BoundedSemaphore
+from threading import Event as ThreadEvent
+from threading import Thread
+from typing import Optional
+
+from fastapi_events.handlers.local import local_handler
+from fastapi_events.typing import Event as FastAPIEvent
+
+from invokeai.app.services.events import EventServiceBase
+from invokeai.app.services.session_queue.session_queue_common import SessionQueueItem
+
+from ..invoker import Invoker
+from .session_processor_base import SessionProcessorBase
+from .session_processor_common import SessionProcessorStatus
+
+POLLING_INTERVAL = 1
+THREAD_LIMIT = 1
+
+
+class DefaultSessionProcessor(SessionProcessorBase):
+    def start(self, invoker: Invoker) -> None:
+        self.__invoker: Invoker = invoker
+        self.__queue_item: Optional[SessionQueueItem] = None
+
+        self.__resume_event = ThreadEvent()
+        self.__stop_event = ThreadEvent()
+        self.__poll_now_event = ThreadEvent()
+
+        local_handler.register(event_name=EventServiceBase.queue_event, _func=self._on_queue_event)
+
+        self.__threadLimit = BoundedSemaphore(THREAD_LIMIT)
+        self.__thread = Thread(
+            name="session_processor",
+            target=self.__process,
+            kwargs=dict(
+                stop_event=self.__stop_event, poll_now_event=self.__poll_now_event, resume_event=self.__resume_event
+            ),
+        )
+        self.__thread.start()
+
+    def stop(self, *args, **kwargs) -> None:
+        self.__stop_event.set()
+
+    def _poll_now(self) -> None:
+        self.__poll_now_event.set()
+
+    async def _on_queue_event(self, event: FastAPIEvent) -> None:
+        event_name = event[1]["event"]
+
+        match event_name:
+            case "graph_execution_state_complete" | "invocation_error" | "session_retrieval_error" | "invocation_retrieval_error":
+                self.__queue_item = None
+                self._poll_now()
+            case "session_canceled" if self.__queue_item is not None and self.__queue_item.session_id == event[1][
+                "data"
+            ]["graph_execution_state_id"]:
+                self.__queue_item = None
+                self._poll_now()
+            case "batch_enqueued":
+                self._poll_now()
+            case "queue_cleared":
+                self.__queue_item = None
+                self._poll_now()
+
+    def resume(self) -> SessionProcessorStatus:
+        if not self.__resume_event.is_set():
+            self.__resume_event.set()
+        return self.get_status()
+
+    def pause(self) -> SessionProcessorStatus:
+        if self.__resume_event.is_set():
+            self.__resume_event.clear()
+        return self.get_status()
+
+    def get_status(self) -> SessionProcessorStatus:
+        return SessionProcessorStatus(
+            is_started=self.__resume_event.is_set(),
+            is_processing=self.__queue_item is not None,
+        )
+
+    def __process(
+        self,
+        stop_event: ThreadEvent,
+        poll_now_event: ThreadEvent,
+        resume_event: ThreadEvent,
+    ):
+        try:
+            stop_event.clear()
+            resume_event.set()
+            self.__threadLimit.acquire()
+            queue_item: Optional[SessionQueueItem] = None
+            self.__invoker.services.logger
+            while not stop_event.is_set():
+                poll_now_event.clear()
+
+                # do not dequeue if there is already a session running
+                if self.__queue_item is None and resume_event.is_set():
+                    queue_item = self.__invoker.services.session_queue.dequeue()
+
+                    if queue_item is not None:
+                        self.__invoker.services.logger.debug(f"Executing queue item {queue_item.item_id}")
+                        self.__queue_item = queue_item
+                        self.__invoker.services.graph_execution_manager.set(queue_item.session)
+                        self.__invoker.invoke(
+                            queue_item_id=queue_item.item_id,
+                            queue_id=queue_item.queue_id,
+                            graph_execution_state=queue_item.session,
+                            invoke_all=True,
+                        )
+                        queue_item = None
+
+                if queue_item is None:
+                    self.__invoker.services.logger.debug("Waiting for next polling interval or event")
+                    poll_now_event.wait(POLLING_INTERVAL)
+                    continue
+        except Exception as e:
+            self.__invoker.services.logger.error(f"Error in session processor: {e}")
+            pass
+        finally:
+            stop_event.clear()
+            poll_now_event.clear()
+            self.__queue_item = None
+            self.__threadLimit.release()
diff --git a/invokeai/app/services/session_queue/__init__.py b/invokeai/app/services/session_queue/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/session_queue/session_queue_base.py b/invokeai/app/services/session_queue/session_queue_base.py
new file mode 100644
index 0000000000..0961759baa
--- /dev/null
+++ b/invokeai/app/services/session_queue/session_queue_base.py
@@ -0,0 +1,112 @@
+from abc import ABC, abstractmethod
+from typing import Optional
+
+from invokeai.app.services.graph import Graph
+from invokeai.app.services.session_queue.session_queue_common import (
+    QUEUE_ITEM_STATUS,
+    Batch,
+    BatchStatus,
+    CancelByBatchIDsResult,
+    CancelByQueueIDResult,
+    ClearResult,
+    EnqueueBatchResult,
+    EnqueueGraphResult,
+    IsEmptyResult,
+    IsFullResult,
+    PruneResult,
+    SessionQueueItem,
+    SessionQueueItemDTO,
+    SessionQueueStatus,
+)
+from invokeai.app.services.shared.models import CursorPaginatedResults
+
+
+class SessionQueueBase(ABC):
+    """Base class for session queue"""
+
+    @abstractmethod
+    def dequeue(self) -> Optional[SessionQueueItem]:
+        """Dequeues the next session queue item."""
+        pass
+
+    @abstractmethod
+    def enqueue_graph(self, queue_id: str, graph: Graph, prepend: bool) -> EnqueueGraphResult:
+        """Enqueues a single graph for execution."""
+        pass
+
+    @abstractmethod
+    def enqueue_batch(self, queue_id: str, batch: Batch, prepend: bool) -> EnqueueBatchResult:
+        """Enqueues all permutations of a batch for execution."""
+        pass
+
+    @abstractmethod
+    def get_current(self, queue_id: str) -> Optional[SessionQueueItem]:
+        """Gets the currently-executing session queue item"""
+        pass
+
+    @abstractmethod
+    def get_next(self, queue_id: str) -> Optional[SessionQueueItem]:
+        """Gets the next session queue item (does not dequeue it)"""
+        pass
+
+    @abstractmethod
+    def clear(self, queue_id: str) -> ClearResult:
+        """Deletes all session queue items"""
+        pass
+
+    @abstractmethod
+    def prune(self, queue_id: str) -> PruneResult:
+        """Deletes all completed and errored session queue items"""
+        pass
+
+    @abstractmethod
+    def is_empty(self, queue_id: str) -> IsEmptyResult:
+        """Checks if the queue is empty"""
+        pass
+
+    @abstractmethod
+    def is_full(self, queue_id: str) -> IsFullResult:
+        """Checks if the queue is empty"""
+        pass
+
+    @abstractmethod
+    def get_queue_status(self, queue_id: str) -> SessionQueueStatus:
+        """Gets the status of the queue"""
+        pass
+
+    @abstractmethod
+    def get_batch_status(self, queue_id: str, batch_id: str) -> BatchStatus:
+        """Gets the status of a batch"""
+        pass
+
+    @abstractmethod
+    def cancel_queue_item(self, item_id: int) -> SessionQueueItem:
+        """Cancels a session queue item"""
+        pass
+
+    @abstractmethod
+    def cancel_by_batch_ids(self, queue_id: str, batch_ids: list[str]) -> CancelByBatchIDsResult:
+        """Cancels all queue items with matching batch IDs"""
+        pass
+
+    @abstractmethod
+    def cancel_by_queue_id(self, queue_id: str) -> CancelByQueueIDResult:
+        """Cancels all queue items with matching queue ID"""
+        pass
+
+    @abstractmethod
+    def list_queue_items(
+        self,
+        queue_id: str,
+        limit: int,
+        priority: int,
+        cursor: Optional[int] = None,
+        status: Optional[QUEUE_ITEM_STATUS] = None,
+    ) -> CursorPaginatedResults[SessionQueueItemDTO]:
+        """Gets a page of session queue items"""
+        pass
+
+    @abstractmethod
+    def get_queue_item(self, item_id: int) -> SessionQueueItem:
+        """Gets a session queue item by ID"""
+        pass
diff --git a/invokeai/app/services/session_queue/session_queue_common.py b/invokeai/app/services/session_queue/session_queue_common.py
new file mode 100644
index 0000000000..a7032c7f1f
--- /dev/null
+++ b/invokeai/app/services/session_queue/session_queue_common.py
@@ -0,0 +1,418 @@
+import datetime
+import json
+from itertools import chain, product
+from typing import Generator, Iterable, Literal, NamedTuple, Optional, TypeAlias, Union, cast
+
+from pydantic import BaseModel, Field, StrictStr, parse_raw_as, root_validator, validator
+from pydantic.json import pydantic_encoder
+
+from invokeai.app.invocations.baseinvocation import BaseInvocation
+from invokeai.app.services.graph import Graph, GraphExecutionState, NodeNotFoundError
+from invokeai.app.util.misc import uuid_string
+
+# region Errors
+
+
+class BatchZippedLengthError(ValueError):
+    """Raise when a batch has items of different lengths."""
+
+
+class BatchItemsTypeError(TypeError):
+    """Raise when a batch has items of different types."""
+
+
+class BatchDuplicateNodeFieldError(ValueError):
+    """Raise when a batch has duplicate node_path and field_name."""
+
+
+class TooManySessionsError(ValueError):
+    """Raise when too many sessions are requested."""
+
+
+class SessionQueueItemNotFoundError(ValueError):
+    """Raise when a queue item is not found."""
+
+
+# endregion
+
+
+# region Batch
+
+BatchDataType = Union[
+    StrictStr,
+    float,
+    int,
+]
+
+
+class NodeFieldValue(BaseModel):
+    node_path: str = Field(description="The node into which this batch data item will be substituted.")
+    field_name: str = Field(description="The field into which this batch data item will be substituted.")
+    value: BatchDataType = Field(description="The value to substitute into the node/field.")
+
+
+class BatchDatum(BaseModel):
+    node_path: str = Field(description="The node into which this batch data collection will be substituted.")
+    field_name: str = Field(description="The field into which this batch data collection will be substituted.")
+    items: list[BatchDataType] = Field(
+        default_factory=list, description="The list of items to substitute into the node/field."
+    )
+
+
+BatchDataCollection: TypeAlias = list[list[BatchDatum]]
+
+
+class Batch(BaseModel):
+    batch_id: str = Field(default_factory=uuid_string, description="The ID of the batch")
+    data: Optional[BatchDataCollection] = Field(default=None, description="The batch data collection.")
+    graph: Graph = Field(description="The graph to initialize the session with")
+    runs: int = Field(
+        default=1, ge=1, description="Int stating how many times to iterate through all possible batch indices"
+    )
+
+    @validator("data")
+    def validate_lengths(cls, v: Optional[BatchDataCollection]):
+        if v is None:
+            return v
+        for batch_data_list in v:
+            first_item_length = len(batch_data_list[0].items) if batch_data_list and batch_data_list[0].items else 0
+            for i in batch_data_list:
+                if len(i.items) != first_item_length:
+                    raise BatchZippedLengthError("Zipped batch items must all have the same length")
+        return v
+
+    @validator("data")
+    def validate_types(cls, v: Optional[BatchDataCollection]):
+        if v is None:
+            return v
+        for batch_data_list in v:
+            for datum in batch_data_list:
+                # Get the type of the first item in the list
+                first_item_type = type(datum.items[0]) if datum.items else None
+                for item in datum.items:
+                    if type(item) is not first_item_type:
+                        raise BatchItemsTypeError("All items in a batch must have the same type")
+        return v
+
+    @validator("data")
+    def validate_unique_field_mappings(cls, v: Optional[BatchDataCollection]):
+        if v is None:
+            return v
+        paths: set[tuple[str, str]] = set()
+        for batch_data_list in v:
+            for datum in batch_data_list:
+                pair = (datum.node_path, datum.field_name)
+                if pair in paths:
+                    raise BatchDuplicateNodeFieldError("Each batch data must have unique node_id and field_name")
+                paths.add(pair)
+        return v
+
+    @root_validator(skip_on_failure=True)
+    def validate_batch_nodes_and_edges(cls, values):
+        batch_data_collection = cast(Optional[BatchDataCollection], values["data"])
+        if batch_data_collection is None:
+            return values
+        graph = cast(Graph, values["graph"])
+        for batch_data_list in batch_data_collection:
+            for batch_data in batch_data_list:
+                try:
+                    node = cast(BaseInvocation, graph.get_node(batch_data.node_path))
+                except NodeNotFoundError:
+                    raise NodeNotFoundError(f"Node {batch_data.node_path} not found in graph")
+                if batch_data.field_name not in node.__fields__:
+                    raise NodeNotFoundError(f"Field {batch_data.field_name} not found in node {batch_data.node_path}")
+        return values
+
+    class Config:
+        schema_extra = {
+            "required": [
+                "graph",
+                "runs",
+            ]
+        }
+
+
+# endregion Batch
+
+
+# region Queue Items
+
+DEFAULT_QUEUE_ID = "default"
+
+QUEUE_ITEM_STATUS = Literal["pending", "in_progress", "completed", "failed", "canceled"]
+
+
+def get_field_values(queue_item_dict: dict) -> Optional[list[NodeFieldValue]]:
+    field_values_raw = queue_item_dict.get("field_values", None)
+    return parse_raw_as(list[NodeFieldValue], field_values_raw) if field_values_raw is not None else None
+
+
+def get_session(queue_item_dict: dict) -> GraphExecutionState:
+    session_raw = queue_item_dict.get("session", "{}")
+    return parse_raw_as(GraphExecutionState, session_raw)
+
+
+class SessionQueueItemWithoutGraph(BaseModel):
+    """Session queue item without the full graph. Used for serialization."""
+
+    item_id: int = Field(description="The identifier of the session queue item")
+    status: QUEUE_ITEM_STATUS = Field(default="pending", description="The status of this queue item")
+    priority: int = Field(default=0, description="The priority of this queue item")
+    batch_id: str = Field(description="The ID of the batch associated with this queue item")
+    session_id: str = Field(
+        description="The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed."
+    )
+    field_values: Optional[list[NodeFieldValue]] = Field(
+        default=None, description="The field values that were used for this queue item"
+    )
+    queue_id: str = Field(description="The id of the queue with which this item is associated")
+    error: Optional[str] = Field(default=None, description="The error message if this queue item errored")
+    created_at: Union[datetime.datetime, str] = Field(description="When this queue item was created")
+    updated_at: Union[datetime.datetime, str] = Field(description="When this queue item was updated")
+    started_at: Optional[Union[datetime.datetime, str]] = Field(description="When this queue item was started")
+    completed_at: Optional[Union[datetime.datetime, str]] = Field(description="When this queue item was completed")
+
+    @classmethod
+    def from_dict(cls, queue_item_dict: dict) -> "SessionQueueItemDTO":
+        # must parse these manually
+        queue_item_dict["field_values"] = get_field_values(queue_item_dict)
+        return SessionQueueItemDTO(**queue_item_dict)
+
+    class Config:
+        schema_extra = {
+            "required": [
+                "item_id",
+                "status",
+                "batch_id",
+                "queue_id",
+                "session_id",
+                "priority",
+                "session_id",
+                "created_at",
+                "updated_at",
+            ]
+        }
+
+
+class SessionQueueItemDTO(SessionQueueItemWithoutGraph):
+    pass
+
+
+class SessionQueueItem(SessionQueueItemWithoutGraph):
+    session: GraphExecutionState = Field(description="The fully-populated session to be executed")
+
+    @classmethod
+    def from_dict(cls, queue_item_dict: dict) -> "SessionQueueItem":
+        # must parse these manually
+        queue_item_dict["field_values"] = get_field_values(queue_item_dict)
+        queue_item_dict["session"] = get_session(queue_item_dict)
+        return SessionQueueItem(**queue_item_dict)
+
+    class Config:
+        schema_extra = {
+            "required": [
+                "item_id",
+                "status",
+                "batch_id",
+                "queue_id",
+                "session_id",
+                "session",
+                "priority",
+                "session_id",
+                "created_at",
+                "updated_at",
+            ]
+        }
+
+
+# endregion Queue Items
+
+# region Query Results
+
+
+class SessionQueueStatus(BaseModel):
+    queue_id: str = Field(..., description="The ID of the queue")
+    item_id: Optional[int] = Field(description="The current queue item id")
+    batch_id: Optional[str] = Field(description="The current queue item's batch id")
+    session_id: Optional[str] = Field(description="The current queue item's session id")
+    pending: int = Field(..., description="Number of queue items with status 'pending'")
+    in_progress: int = Field(..., description="Number of queue items with status 'in_progress'")
+    completed: int = Field(..., description="Number of queue items with status 'complete'")
+    failed: int = Field(..., description="Number of queue items with status 'error'")
+    canceled: int = Field(..., description="Number of queue items with status 'canceled'")
+    total: int = Field(..., description="Total number of queue items")
+
+
+class BatchStatus(BaseModel):
+    queue_id: str = Field(..., description="The ID of the queue")
+    batch_id: str = Field(..., description="The ID of the batch")
+    pending: int = Field(..., description="Number of queue items with status 'pending'")
+    in_progress: int = Field(..., description="Number of queue items with status 'in_progress'")
+    completed: int = Field(..., description="Number of queue items with status 'complete'")
+    failed: int = Field(..., description="Number of queue items with status 'error'")
+    canceled: int = Field(..., description="Number of queue items with status 'canceled'")
+    total: int = Field(..., description="Total number of queue items")
+
+
+class EnqueueBatchResult(BaseModel):
+    queue_id: str = Field(description="The ID of the queue")
+    enqueued: int = Field(description="The total number of queue items enqueued")
+    requested: int = Field(description="The total number of queue items requested to be enqueued")
+    batch: Batch = Field(description="The batch that was enqueued")
+    priority: int = Field(description="The priority of the enqueued batch")
+
+
+class EnqueueGraphResult(BaseModel):
+    enqueued: int = Field(description="The total number of queue items enqueued")
+    requested: int = Field(description="The total number of queue items requested to be enqueued")
+    batch: Batch = Field(description="The batch that was enqueued")
+    priority: int = Field(description="The priority of the enqueued batch")
+    queue_item: SessionQueueItemDTO = Field(description="The queue item that was enqueued")
+
+
+class ClearResult(BaseModel):
+    """Result of clearing the session queue"""
+
+    deleted: int = Field(..., description="Number of queue items deleted")
+
+
+class PruneResult(ClearResult):
+    """Result of pruning the session queue"""
+
+    pass
+
+
+class CancelByBatchIDsResult(BaseModel):
+    """Result of canceling by list of batch ids"""
+
+    canceled: int = Field(..., description="Number of queue items canceled")
+
+
+class CancelByQueueIDResult(CancelByBatchIDsResult):
+    """Result of canceling by queue id"""
+
+    pass
+
+
+class IsEmptyResult(BaseModel):
+    """Result of checking if the session queue is empty"""
+
+    is_empty: bool = Field(..., description="Whether the session queue is empty")
+
+
+class IsFullResult(BaseModel):
+    """Result of checking if the session queue is full"""
+
+    is_full: bool = Field(..., description="Whether the session queue is full")
+
+
+# endregion Query Results
+
+
+# region Util
+
+
+def populate_graph(graph: Graph, node_field_values: Iterable[NodeFieldValue]) -> Graph:
+    """
+    Populates the given graph with the given batch data items.
+    """
+    graph_clone = graph.copy(deep=True)
+    for item in node_field_values:
+        node = graph_clone.get_node(item.node_path)
+        if node is None:
+            continue
+        setattr(node, item.field_name, item.value)
+        graph_clone.update_node(item.node_path, node)
+    return graph_clone
+
+
+def create_session_nfv_tuples(
+    batch: Batch, maximum: int
+) -> Generator[tuple[GraphExecutionState, list[NodeFieldValue]], None, None]:
+    """
+    Create all graph permutations from the given batch data and graph. Yields tuples
+    of the form (graph, batch_data_items) where batch_data_items is the list of BatchDataItems
+    that was applied to the graph.
+    """
+
+    # TODO: Should this be a class method on Batch?
+
+    data: list[list[tuple[NodeFieldValue]]] = []
+    batch_data_collection = batch.data if batch.data is not None else []
+    for batch_datum_list in batch_data_collection:
+        # each batch_datum_list needs to be convered to NodeFieldValues and then zipped
+
+        node_field_values_to_zip: list[list[NodeFieldValue]] = []
+        for batch_datum in batch_datum_list:
+            node_field_values = [
+                NodeFieldValue(node_path=batch_datum.node_path, field_name=batch_datum.field_name, value=item)
+                for item in batch_datum.items
+            ]
+            node_field_values_to_zip.append(node_field_values)
+        data.append(list(zip(*node_field_values_to_zip)))
+
+    # create generator to yield session,nfv tuples
+    count = 0
+    for _ in range(batch.runs):
+        for d in product(*data):
+            if count >= maximum:
+                return
+            flat_node_field_values = list(chain.from_iterable(d))
+            graph = populate_graph(batch.graph, flat_node_field_values)
+            yield (GraphExecutionState(graph=graph), flat_node_field_values)
+            count += 1
+
+
+def calc_session_count(batch: Batch) -> int:
+    """
+    Calculates the number of sessions that would be created by the batch, without incurring
+    the overhead of actually generating them. Adapted from `create_sessions().
+    """
+    # TODO: Should this be a class method on Batch?
+    if not batch.data:
+        return batch.runs
+    data = []
+    for batch_datum_list in batch.data:
+        to_zip = []
+        for batch_datum in batch_datum_list:
+            batch_data_items = range(len(batch_datum.items))
+            to_zip.append(batch_data_items)
+        data.append(list(zip(*to_zip)))
+    data_product = list(product(*data))
+    return len(data_product) * batch.runs
+
+
+class SessionQueueValueToInsert(NamedTuple):
+    """A tuple of values to insert into the session_queue table"""
+
+    queue_id: str  # queue_id
+    session: str  # session json
+    session_id: str  # session_id
+    batch_id: str  # batch_id
+    field_values: Optional[str]  # field_values json
+    priority: int  # priority
+
+
+ValuesToInsert: TypeAlias = list[SessionQueueValueToInsert]
+
+
+def prepare_values_to_insert(queue_id: str, batch: Batch, priority: int, max_new_queue_items: int) -> ValuesToInsert:
+    values_to_insert: ValuesToInsert = []
+    for session, field_values in create_session_nfv_tuples(batch, max_new_queue_items):
+        # sessions must have unique id
+        session.id = uuid_string()
+        values_to_insert.append(
+            SessionQueueValueToInsert(
+                queue_id,  # queue_id
+                session.json(),  # session (json)
+                session.id,  # session_id
+                batch.batch_id,  # batch_id
+                # must use pydantic_encoder bc field_values is a list of models
+                json.dumps(field_values, default=pydantic_encoder) if field_values else None,  # field_values (json)
+                priority,  # priority
+            )
+        )
+    return values_to_insert
+
+
+# endregion Util
diff --git a/invokeai/app/services/session_queue/session_queue_sqlite.py b/invokeai/app/services/session_queue/session_queue_sqlite.py
new file mode 100644
index 0000000000..4925170c48
--- /dev/null
+++ b/invokeai/app/services/session_queue/session_queue_sqlite.py
@@ -0,0 +1,813 @@
+import sqlite3
+import threading
+from typing import Optional, Union, cast
+
+from fastapi_events.handlers.local import local_handler
+from fastapi_events.typing import Event as FastAPIEvent
+
+from invokeai.app.services.events import EventServiceBase
+from invokeai.app.services.graph import Graph
+from invokeai.app.services.invoker import Invoker
+from invokeai.app.services.session_queue.session_queue_base import SessionQueueBase
+from invokeai.app.services.session_queue.session_queue_common import (
+    DEFAULT_QUEUE_ID,
+    QUEUE_ITEM_STATUS,
+    Batch,
+    BatchStatus,
+    CancelByBatchIDsResult,
+    CancelByQueueIDResult,
+    ClearResult,
+    EnqueueBatchResult,
+    EnqueueGraphResult,
+    IsEmptyResult,
+    IsFullResult,
+    PruneResult,
+    SessionQueueItem,
+    SessionQueueItemDTO,
+    SessionQueueItemNotFoundError,
+    SessionQueueStatus,
+    calc_session_count,
+    prepare_values_to_insert,
+)
+from invokeai.app.services.shared.models import CursorPaginatedResults
+
+
+class SqliteSessionQueue(SessionQueueBase):
+    __invoker: Invoker
+    __conn: sqlite3.Connection
+    __cursor: sqlite3.Cursor
+    __lock: threading.Lock
+
+    def start(self, invoker: Invoker) -> None:
+        self.__invoker = invoker
+        self._set_in_progress_to_canceled()
+        prune_result = self.prune(DEFAULT_QUEUE_ID)
+        local_handler.register(event_name=EventServiceBase.queue_event, _func=self._on_session_event)
+        self.__invoker.services.logger.info(f"Pruned {prune_result.deleted} finished queue items")
+
+    def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None:
+        super().__init__()
+        self.__conn = conn
+        # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
+        self.__conn.row_factory = sqlite3.Row
+        self.__cursor = self.__conn.cursor()
+        self.__lock = lock
+        self._create_tables()
+
+    def _match_event_name(self, event: FastAPIEvent, match_in: list[str]) -> bool:
+        return event[1]["event"] in match_in
+
+    async def _on_session_event(self, event: FastAPIEvent) -> FastAPIEvent:
+        event_name = event[1]["event"]
+        match event_name:
+            case "graph_execution_state_complete":
+                await self._handle_complete_event(event)
+            case "invocation_error" | "session_retrieval_error" | "invocation_retrieval_error":
+                await self._handle_error_event(event)
+            case "session_canceled":
+                await self._handle_cancel_event(event)
+        return event
+
+    async def _handle_complete_event(self, event: FastAPIEvent) -> None:
+        try:
+            item_id = event[1]["data"]["queue_item_id"]
+            # When a queue item has an error, we get an error event, then a completed event.
+            # Mark the queue item completed only if it isn't already marked completed, e.g.
+            # by a previously-handled error event.
+            queue_item = self.get_queue_item(item_id)
+            if queue_item.status not in ["completed", "failed", "canceled"]:
+                queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="completed")
+                self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
+        except SessionQueueItemNotFoundError:
+            return
+
+    async def _handle_error_event(self, event: FastAPIEvent) -> None:
+        try:
+            item_id = event[1]["data"]["queue_item_id"]
+            error = event[1]["data"]["error"]
+            queue_item = self.get_queue_item(item_id)
+            queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="failed", error=error)
+            self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
+        except SessionQueueItemNotFoundError:
+            return
+
+    async def _handle_cancel_event(self, event: FastAPIEvent) -> None:
+        try:
+            item_id = event[1]["data"]["queue_item_id"]
+            queue_item = self.get_queue_item(item_id)
+            queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="canceled")
+            self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
+        except SessionQueueItemNotFoundError:
+            return
+
+    def _create_tables(self) -> None:
+        """Creates the session queue tables, indicies, and triggers"""
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                CREATE TABLE IF NOT EXISTS session_queue (
+                    item_id INTEGER PRIMARY KEY AUTOINCREMENT, -- used for ordering, cursor pagination
+                    batch_id TEXT NOT NULL, -- identifier of the batch this queue item belongs to
+                    queue_id TEXT NOT NULL, -- identifier of the queue this queue item belongs to
+                    session_id TEXT NOT NULL UNIQUE, -- duplicated data from the session column, for ease of access
+                    field_values TEXT, -- NULL if no values are associated with this queue item
+                    session TEXT NOT NULL, -- the session to be executed
+                    status TEXT NOT NULL DEFAULT 'pending', -- the status of the queue item, one of 'pending', 'in_progress', 'completed', 'failed', 'canceled'
+                    priority INTEGER NOT NULL DEFAULT 0, -- the priority, higher is more important
+                    error TEXT, -- any errors associated with this queue item
+                    created_at DATETIME NOT NULL DEFAULT(STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')),
+                    updated_at DATETIME NOT NULL DEFAULT(STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), -- updated via trigger
+                    started_at DATETIME, -- updated via trigger
+                    completed_at DATETIME -- updated via trigger, completed items are cleaned up on application startup
+                    -- Ideally this is a FK, but graph_executions uses INSERT OR REPLACE, and REPLACE triggers the ON DELETE CASCADE...
+                    -- FOREIGN KEY (session_id) REFERENCES graph_executions (id) ON DELETE CASCADE
+                );
+                """
+            )
+
+            self.__cursor.execute(
+                """--sql
+                CREATE UNIQUE INDEX IF NOT EXISTS idx_session_queue_item_id ON session_queue(item_id);
+                """
+            )
+
+            self.__cursor.execute(
+                """--sql
+                CREATE UNIQUE INDEX IF NOT EXISTS idx_session_queue_session_id ON session_queue(session_id);
+                """
+            )
+
+            self.__cursor.execute(
+                """--sql
+                CREATE INDEX IF NOT EXISTS idx_session_queue_batch_id ON session_queue(batch_id);
+                """
+            )
+
+            self.__cursor.execute(
+                """--sql
+                CREATE INDEX IF NOT EXISTS idx_session_queue_created_priority ON session_queue(priority);
+                """
+            )
+
+            self.__cursor.execute(
+                """--sql
+                CREATE INDEX IF NOT EXISTS idx_session_queue_created_status ON session_queue(status);
+                """
+            )
+
+            self.__cursor.execute(
+                """--sql
+                CREATE TRIGGER IF NOT EXISTS tg_session_queue_completed_at
+                AFTER UPDATE OF status ON session_queue
+                FOR EACH ROW
+                WHEN
+                  NEW.status = 'completed'
+                  OR NEW.status = 'failed'
+                  OR NEW.status = 'canceled'
+                BEGIN
+                  UPDATE session_queue
+                  SET completed_at = STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')
+                  WHERE item_id = NEW.item_id;
+                END;
+                """
+            )
+
+            self.__cursor.execute(
+                """--sql
+                CREATE TRIGGER IF NOT EXISTS tg_session_queue_started_at
+                AFTER UPDATE OF status ON session_queue
+                FOR EACH ROW
+                WHEN
+                  NEW.status = 'in_progress'
+                BEGIN
+                  UPDATE session_queue
+                  SET started_at = STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')
+                  WHERE item_id = NEW.item_id;
+                END;
+                """
+            )
+
+            self.__cursor.execute(
+                """--sql
+                CREATE TRIGGER IF NOT EXISTS tg_session_queue_updated_at
+                AFTER UPDATE
+                ON session_queue FOR EACH ROW
+                BEGIN
+                    UPDATE session_queue
+                    SET updated_at = STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')
+                    WHERE item_id = old.item_id;
+                END;
+                """
+            )
+
+            self.__conn.commit()
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+
+    def _set_in_progress_to_canceled(self) -> None:
+        """
+        Sets all in_progress queue items to canceled. Run on app startup, not associated with any queue.
+        This is necessary because the invoker may have been killed while processing a queue item.
+        """
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                UPDATE session_queue
+                SET status = 'canceled'
+                WHERE status = 'in_progress';
+                """
+            )
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+
+    def _get_current_queue_size(self, queue_id: str) -> int:
+        """Gets the current number of pending queue items"""
+        self.__cursor.execute(
+            """--sql
+            SELECT count(*)
+            FROM session_queue
+            WHERE
+              queue_id = ?
+              AND status = 'pending'
+            """,
+            (queue_id,),
+        )
+        return cast(int, self.__cursor.fetchone()[0])
+
+    def _get_highest_priority(self, queue_id: str) -> int:
+        """Gets the highest priority value in the queue"""
+        self.__cursor.execute(
+            """--sql
+            SELECT MAX(priority)
+            FROM session_queue
+            WHERE
+              queue_id = ?
+              AND status = 'pending'
+            """,
+            (queue_id,),
+        )
+        return cast(Union[int, None], self.__cursor.fetchone()[0]) or 0
+
+    def enqueue_graph(self, queue_id: str, graph: Graph, prepend: bool) -> EnqueueGraphResult:
+        enqueue_result = self.enqueue_batch(queue_id=queue_id, batch=Batch(graph=graph), prepend=prepend)
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                SELECT *
+                FROM session_queue
+                WHERE queue_id = ?
+                AND batch_id = ?
+                """,
+                (queue_id, enqueue_result.batch.batch_id),
+            )
+            result = cast(Union[sqlite3.Row, None], self.__cursor.fetchone())
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        if result is None:
+            raise SessionQueueItemNotFoundError(f"No queue item with batch id {enqueue_result.batch.batch_id}")
+        return EnqueueGraphResult(
+            **enqueue_result.dict(),
+            queue_item=SessionQueueItemDTO.from_dict(dict(result)),
+        )
+
+    def enqueue_batch(self, queue_id: str, batch: Batch, prepend: bool) -> EnqueueBatchResult:
+        try:
+            self.__lock.acquire()
+
+            # TODO: how does this work in a multi-user scenario?
+            current_queue_size = self._get_current_queue_size(queue_id)
+            max_queue_size = self.__invoker.services.configuration.get_config().max_queue_size
+            max_new_queue_items = max_queue_size - current_queue_size
+
+            priority = 0
+            if prepend:
+                priority = self._get_highest_priority(queue_id) + 1
+
+            requested_count = calc_session_count(batch)
+            values_to_insert = prepare_values_to_insert(
+                queue_id=queue_id,
+                batch=batch,
+                priority=priority,
+                max_new_queue_items=max_new_queue_items,
+            )
+            enqueued_count = len(values_to_insert)
+
+            if requested_count > enqueued_count:
+                values_to_insert = values_to_insert[:max_new_queue_items]
+
+            self.__cursor.executemany(
+                """--sql
+                INSERT INTO session_queue (queue_id, session, session_id, batch_id, field_values, priority)
+                VALUES (?, ?, ?, ?, ?, ?)
+                """,
+                values_to_insert,
+            )
+            self.__conn.commit()
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        enqueue_result = EnqueueBatchResult(
+            queue_id=queue_id,
+            requested=requested_count,
+            enqueued=enqueued_count,
+            batch=batch,
+            priority=priority,
+        )
+        self.__invoker.services.events.emit_batch_enqueued(enqueue_result)
+        return enqueue_result
+
+    def dequeue(self) -> Optional[SessionQueueItem]:
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                SELECT *
+                FROM session_queue
+                WHERE status = 'pending'
+                ORDER BY
+                  priority DESC,
+                  item_id ASC
+                LIMIT 1
+                """
+            )
+            result = cast(Union[sqlite3.Row, None], self.__cursor.fetchone())
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        if result is None:
+            return None
+        queue_item = SessionQueueItem.from_dict(dict(result))
+        queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="in_progress")
+        self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
+        return queue_item
+
+    def get_next(self, queue_id: str) -> Optional[SessionQueueItem]:
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                SELECT *
+                FROM session_queue
+                WHERE
+                  queue_id = ?
+                  AND status = 'pending'
+                ORDER BY
+                  priority DESC,
+                  created_at ASC
+                LIMIT 1
+                """,
+                (queue_id,),
+            )
+            result = cast(Union[sqlite3.Row, None], self.__cursor.fetchone())
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        if result is None:
+            return None
+        return SessionQueueItem.from_dict(dict(result))
+
+    def get_current(self, queue_id: str) -> Optional[SessionQueueItem]:
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                SELECT *
+                FROM session_queue
+                WHERE
+                  queue_id = ?
+                  AND status = 'in_progress'
+                LIMIT 1
+                """,
+                (queue_id,),
+            )
+            result = cast(Union[sqlite3.Row, None], self.__cursor.fetchone())
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        if result is None:
+            return None
+        return SessionQueueItem.from_dict(dict(result))
+
+    def _set_queue_item_status(
+        self, item_id: int, status: QUEUE_ITEM_STATUS, error: Optional[str] = None
+    ) -> SessionQueueItem:
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                UPDATE session_queue
+                SET status = ?, error = ?
+                WHERE item_id = ?
+                """,
+                (status, error, item_id),
+            )
+            self.__conn.commit()
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        return self.get_queue_item(item_id)
+
+    def is_empty(self, queue_id: str) -> IsEmptyResult:
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                SELECT count(*)
+                FROM session_queue
+                WHERE queue_id = ?
+                """,
+                (queue_id,),
+            )
+            is_empty = cast(int, self.__cursor.fetchone()[0]) == 0
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        return IsEmptyResult(is_empty=is_empty)
+
+    def is_full(self, queue_id: str) -> IsFullResult:
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                SELECT count(*)
+                FROM session_queue
+                WHERE queue_id = ?
+                """,
+                (queue_id,),
+            )
+            max_queue_size = self.__invoker.services.configuration.max_queue_size
+            is_full = cast(int, self.__cursor.fetchone()[0]) >= max_queue_size
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        return IsFullResult(is_full=is_full)
+
+    def delete_queue_item(self, item_id: int) -> SessionQueueItem:
+        queue_item = self.get_queue_item(item_id=item_id)
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                DELETE FROM session_queue
+                WHERE
+                  item_id = ?
+                """,
+                (item_id,),
+            )
+            self.__conn.commit()
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        return queue_item
+
+    def clear(self, queue_id: str) -> ClearResult:
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                SELECT COUNT(*)
+                FROM session_queue
+                WHERE queue_id = ?
+                """,
+                (queue_id,),
+            )
+            count = self.__cursor.fetchone()[0]
+            self.__cursor.execute(
+                """--sql
+                DELETE
+                FROM session_queue
+                WHERE queue_id = ?
+                """,
+                (queue_id,),
+            )
+            self.__conn.commit()
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        self.__invoker.services.events.emit_queue_cleared(queue_id)
+        return ClearResult(deleted=count)
+
+    def prune(self, queue_id: str) -> PruneResult:
+        try:
+            where = """--sql
+                WHERE
+                  queue_id = ?
+                  AND (
+                    status = 'completed'
+                    OR status = 'failed'
+                    OR status = 'canceled'
+                  )
+                """
+            self.__lock.acquire()
+            self.__cursor.execute(
+                f"""--sql
+                SELECT COUNT(*)
+                FROM session_queue
+                {where};
+                """,
+                (queue_id,),
+            )
+            count = self.__cursor.fetchone()[0]
+            self.__cursor.execute(
+                f"""--sql
+                DELETE
+                FROM session_queue
+                {where};
+                """,
+                (queue_id,),
+            )
+            self.__conn.commit()
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        return PruneResult(deleted=count)
+
+    def cancel_queue_item(self, item_id: int) -> SessionQueueItem:
+        queue_item = self.get_queue_item(item_id)
+        if queue_item.status not in ["canceled", "failed", "completed"]:
+            queue_item = self._set_queue_item_status(item_id=item_id, status="canceled")
+            self.__invoker.services.queue.cancel(queue_item.session_id)
+            self.__invoker.services.events.emit_session_canceled(
+                queue_item_id=queue_item.item_id,
+                queue_id=queue_item.queue_id,
+                graph_execution_state_id=queue_item.session_id,
+            )
+            self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
+        return queue_item
+
+    def cancel_by_batch_ids(self, queue_id: str, batch_ids: list[str]) -> CancelByBatchIDsResult:
+        try:
+            current_queue_item = self.get_current(queue_id)
+            self.__lock.acquire()
+            placeholders = ", ".join(["?" for _ in batch_ids])
+            where = f"""--sql
+                WHERE
+                  queue_id == ?
+                  AND batch_id IN ({placeholders})
+                  AND status != 'canceled'
+                  AND status != 'completed'
+                  AND status != 'failed'
+                """
+            params = [queue_id] + batch_ids
+            self.__cursor.execute(
+                f"""--sql
+                SELECT COUNT(*)
+                FROM session_queue
+                {where};
+                """,
+                tuple(params),
+            )
+            count = self.__cursor.fetchone()[0]
+            self.__cursor.execute(
+                f"""--sql
+                UPDATE session_queue
+                SET status = 'canceled'
+                {where};
+                """,
+                tuple(params),
+            )
+            self.__conn.commit()
+            if current_queue_item is not None and current_queue_item.batch_id in batch_ids:
+                self.__invoker.services.queue.cancel(current_queue_item.session_id)
+                self.__invoker.services.events.emit_session_canceled(
+                    queue_item_id=current_queue_item.item_id,
+                    queue_id=current_queue_item.queue_id,
+                    graph_execution_state_id=current_queue_item.session_id,
+                )
+                self.__invoker.services.events.emit_queue_item_status_changed(current_queue_item)
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        return CancelByBatchIDsResult(canceled=count)
+
+    def cancel_by_queue_id(self, queue_id: str) -> CancelByQueueIDResult:
+        try:
+            current_queue_item = self.get_current(queue_id)
+            self.__lock.acquire()
+            where = """--sql
+                WHERE
+                  queue_id is ?
+                  AND status != 'canceled'
+                  AND status != 'completed'
+                  AND status != 'failed'
+                """
+            params = [queue_id]
+            self.__cursor.execute(
+                f"""--sql
+                SELECT COUNT(*)
+                FROM session_queue
+                {where};
+                """,
+                tuple(params),
+            )
+            count = self.__cursor.fetchone()[0]
+            self.__cursor.execute(
+                f"""--sql
+                UPDATE session_queue
+                SET status = 'canceled'
+                {where};
+                """,
+                tuple(params),
+            )
+            self.__conn.commit()
+            if current_queue_item is not None and current_queue_item.queue_id == queue_id:
+                self.__invoker.services.queue.cancel(current_queue_item.session_id)
+                self.__invoker.services.events.emit_session_canceled(
+                    queue_item_id=current_queue_item.item_id,
+                    queue_id=current_queue_item.queue_id,
+                    graph_execution_state_id=current_queue_item.session_id,
+                )
+                self.__invoker.services.events.emit_queue_item_status_changed(current_queue_item)
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        return CancelByQueueIDResult(canceled=count)
+
+    def get_queue_item(self, item_id: int) -> SessionQueueItem:
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                SELECT * FROM session_queue
+                WHERE
+                  item_id = ?
+                """,
+                (item_id,),
+            )
+            result = cast(Union[sqlite3.Row, None], self.__cursor.fetchone())
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        if result is None:
+            raise SessionQueueItemNotFoundError(f"No queue item with id {item_id}")
+        return SessionQueueItem.from_dict(dict(result))
+
+    def list_queue_items(
+        self,
+        queue_id: str,
+        limit: int,
+        priority: int,
+        cursor: Optional[int] = None,
+        status: Optional[QUEUE_ITEM_STATUS] = None,
+    ) -> CursorPaginatedResults[SessionQueueItemDTO]:
+        try:
+            item_id = cursor
+            self.__lock.acquire()
+            query = """--sql
+                SELECT item_id,
+                    status,
+                    priority,
+                    field_values,
+                    error,
+                    created_at,
+                    updated_at,
+                    completed_at,
+                    started_at,
+                    session_id,
+                    batch_id,
+                    queue_id
+                FROM session_queue
+                WHERE queue_id = ?
+            """
+            params: list[Union[str, int]] = [queue_id]
+
+            if status is not None:
+                query += """--sql
+                    AND status = ?
+                    """
+                params.append(status)
+
+            if item_id is not None:
+                query += """--sql
+                    AND (priority < ?) OR (priority = ? AND item_id > ?)
+                    """
+                params.extend([priority, priority, item_id])
+
+            query += """--sql
+                ORDER BY
+                  priority DESC,
+                  item_id ASC
+                LIMIT ?
+                """
+            params.append(limit + 1)
+            self.__cursor.execute(query, params)
+            results = cast(list[sqlite3.Row], self.__cursor.fetchall())
+            items = [SessionQueueItemDTO.from_dict(dict(result)) for result in results]
+            has_more = False
+            if len(items) > limit:
+                # remove the extra item
+                items.pop()
+                has_more = True
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        return CursorPaginatedResults(items=items, limit=limit, has_more=has_more)
+
+    def get_queue_status(self, queue_id: str) -> SessionQueueStatus:
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                SELECT status, count(*)
+                FROM session_queue
+                WHERE queue_id = ?
+                GROUP BY status
+                """,
+                (queue_id,),
+            )
+            counts_result = cast(list[sqlite3.Row], self.__cursor.fetchall())
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+
+        current_item = self.get_current(queue_id=queue_id)
+        total = sum(row[1] for row in counts_result)
+        counts: dict[str, int] = {row[0]: row[1] for row in counts_result}
+        return SessionQueueStatus(
+            queue_id=queue_id,
+            item_id=current_item.item_id if current_item else None,
+            session_id=current_item.session_id if current_item else None,
+            batch_id=current_item.batch_id if current_item else None,
+            pending=counts.get("pending", 0),
+            in_progress=counts.get("in_progress", 0),
+            completed=counts.get("completed", 0),
+            failed=counts.get("failed", 0),
+            canceled=counts.get("canceled", 0),
+            total=total,
+        )
+
+    def get_batch_status(self, queue_id: str, batch_id: str) -> BatchStatus:
+        try:
+            self.__lock.acquire()
+            self.__cursor.execute(
+                """--sql
+                SELECT status, count(*)
+                FROM session_queue
+                WHERE
+                  queue_id = ?
+                  AND batch_id = ?
+                GROUP BY status
+                """,
+                (queue_id, batch_id),
+            )
+            result = cast(list[sqlite3.Row], self.__cursor.fetchall())
+            total = sum(row[1] for row in result)
+            counts: dict[str, int] = {row[0]: row[1] for row in result}
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+
+        return BatchStatus(
+            batch_id=batch_id,
+            queue_id=queue_id,
+            pending=counts.get("pending", 0),
+            in_progress=counts.get("in_progress", 0),
+            completed=counts.get("completed", 0),
+            failed=counts.get("failed", 0),
+            canceled=counts.get("canceled", 0),
+            total=total,
+        )
diff --git a/invokeai/app/services/shared/models.py b/invokeai/app/services/shared/models.py
new file mode 100644
index 0000000000..7edde152c3
--- /dev/null
+++ b/invokeai/app/services/shared/models.py
@@ -0,0 +1,14 @@
+from typing import Generic, TypeVar
+
+from pydantic import BaseModel, Field
+from pydantic.generics import GenericModel
+
+GenericBaseModel = TypeVar("GenericBaseModel", bound=BaseModel)
+
+
+class CursorPaginatedResults(GenericModel, Generic[GenericBaseModel]):
+    """Cursor-paginated results"""
+
+    limit: int = Field(..., description="Limit of items to get")
+    has_more: bool = Field(..., description="Whether there are more items available")
+    items: list[GenericBaseModel] = Field(..., description="Items")
diff --git a/invokeai/app/services/sqlite.py b/invokeai/app/services/sqlite.py
index 3c46b1c2a0..63f3356b3c 100644
--- a/invokeai/app/services/sqlite.py
+++ b/invokeai/app/services/sqlite.py
@@ -1,5 +1,5 @@
 import sqlite3
-from threading import Lock
+import threading
 from typing import Generic, Optional, TypeVar, get_args
 
 from pydantic import BaseModel, parse_raw_as
@@ -12,23 +12,19 @@ sqlite_memory = ":memory:"
 
 
 class SqliteItemStorage(ItemStorageABC, Generic[T]):
-    _filename: str
     _table_name: str
     _conn: sqlite3.Connection
     _cursor: sqlite3.Cursor
     _id_field: str
-    _lock: Lock
+    _lock: threading.Lock
 
-    def __init__(self, filename: str, table_name: str, id_field: str = "id"):
+    def __init__(self, conn: sqlite3.Connection, table_name: str, lock: threading.Lock, id_field: str = "id"):
         super().__init__()
 
-        self._filename = filename
         self._table_name = table_name
         self._id_field = id_field  # TODO: validate that T has this field
-        self._lock = Lock()
-        self._conn = sqlite3.connect(
-            self._filename, check_same_thread=False
-        )  # TODO: figure out a better threading solution
+        self._lock = lock
+        self._conn = conn
         self._cursor = self._conn.cursor()
 
         self._create_table()
@@ -49,8 +45,7 @@ class SqliteItemStorage(ItemStorageABC, Generic[T]):
 
     def _parse_item(self, item: str) -> T:
         item_type = get_args(self.__orig_class__)[0]
-        parsed = parse_raw_as(item_type, item)
-        return parsed
+        return parse_raw_as(item_type, item)
 
     def set(self, item: T):
         try:
diff --git a/invokeai/app/services/thread.py b/invokeai/app/services/thread.py
new file mode 100644
index 0000000000..3fd88295b1
--- /dev/null
+++ b/invokeai/app/services/thread.py
@@ -0,0 +1,3 @@
+import threading
+
+lock = threading.Lock()
diff --git a/invokeai/app/util/misc.py b/invokeai/app/util/misc.py
index b42b2246b8..6d56652ed4 100644
--- a/invokeai/app/util/misc.py
+++ b/invokeai/app/util/misc.py
@@ -1,4 +1,5 @@
 import datetime
+import uuid
 
 import numpy as np
 
@@ -21,3 +22,8 @@ SEED_MAX = np.iinfo(np.uint32).max
 def get_random_seed():
     rng = np.random.default_rng(seed=None)
     return int(rng.integers(0, SEED_MAX))
+
+
+def uuid_string():
+    res = uuid.uuid4()
+    return str(res)
diff --git a/invokeai/app/util/step_callback.py b/invokeai/app/util/step_callback.py
index 26de809d1c..8edcc11f05 100644
--- a/invokeai/app/util/step_callback.py
+++ b/invokeai/app/util/step_callback.py
@@ -110,6 +110,8 @@ def stable_diffusion_step_callback(
     dataURL = image_to_dataURL(image, image_format="JPEG")
 
     context.services.events.emit_generator_progress(
+        queue_id=context.queue_id,
+        queue_item_id=context.queue_item_id,
         graph_execution_state_id=context.graph_execution_state_id,
         node=node,
         source_node_id=source_node_id,
diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py
index e3f9ea84f3..ec90700bd0 100644
--- a/invokeai/frontend/install/import_images.py
+++ b/invokeai/frontend/install/import_images.py
@@ -14,7 +14,6 @@ import os
 import re
 import shutil
 import sqlite3
-import uuid
 from pathlib import Path
 
 import PIL
@@ -27,6 +26,7 @@ from prompt_toolkit.key_binding import KeyBindings
 from prompt_toolkit.shortcuts import message_dialog
 
 from invokeai.app.services.config import InvokeAIAppConfig
+from invokeai.app.util.misc import uuid_string
 
 app_config = InvokeAIAppConfig.get_config()
 
@@ -421,7 +421,7 @@ VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{me
             return rows[0][0]
         else:
             board_date_string = datetime.datetime.utcnow().date().isoformat()
-            new_board_id = str(uuid.uuid4())
+            new_board_id = uuid_string()
             sql_insert_board = f"INSERT INTO boards (board_id, board_name, created_at, updated_at) VALUES ('{new_board_id}', '{board_name}', '{board_date_string}', '{board_date_string}')"
             self.cursor.execute(sql_insert_board)
             self.connection.commit()
diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 881e531701..d69015fbdc 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -13,14 +13,15 @@
         "reset": "Reset",
         "rotateClockwise": "Rotate Clockwise",
         "rotateCounterClockwise": "Rotate Counter-Clockwise",
-        "showGallery": "Show Gallery",
+        "showGalleryPanel": "Show Gallery Panel",
         "showOptionsPanel": "Show Side Panel",
         "toggleAutoscroll": "Toggle autoscroll",
         "toggleLogViewer": "Toggle Log Viewer",
         "uploadImage": "Upload Image",
         "useThisParameter": "Use this parameter",
         "zoomIn": "Zoom In",
-        "zoomOut": "Zoom Out"
+        "zoomOut": "Zoom Out",
+        "loadMore": "Load More"
     },
     "boards": {
         "addBoard": "Add Board",
@@ -110,6 +111,7 @@
         "statusModelChanged": "Model Changed",
         "statusModelConverted": "Model Converted",
         "statusPreparing": "Preparing",
+        "statusProcessing": "Processing",
         "statusProcessingCanceled": "Processing Canceled",
         "statusProcessingComplete": "Processing Complete",
         "statusRestoringFaces": "Restoring Faces",
@@ -203,6 +205,63 @@
         "incompatibleModel": "Incompatible base model:",
         "noMatchingEmbedding": "No matching Embeddings"
     },
+    "queue": {
+        "queue": "Queue",
+        "queueFront": "Add to Front of Queue",
+        "queueBack": "Add to Queue",
+        "queueCountPrediction": "Add {{predicted}} to Queue",
+        "queueMaxExceeded": "Max of {{max_queue_size}} exceeded, would skip {{skip}}",
+        "queuedCount": "{{pending}} Pending",
+        "queueTotal": "{{total}} Total",
+        "queueEmpty": "Queue Empty",
+        "enqueueing": "Queueing Batch",
+        "resume": "Resume",
+        "resumeTooltip": "Resume Processor",
+        "resumeSucceeded": "Processor Resumed",
+        "resumeFailed": "Problem Resuming Processor",
+        "pause": "Pause",
+        "pauseTooltip": "Pause Processor",
+        "pauseSucceeded": "Processor Paused",
+        "pauseFailed": "Problem Pausing Processor",
+        "cancel": "Cancel",
+        "cancelTooltip": "Cancel Current Item",
+        "cancelSucceeded": "Item Canceled",
+        "cancelFailed": "Problem Canceling Item",
+        "prune": "Prune",
+        "pruneTooltip": "Prune {{item_count}} Completed Items",
+        "pruneSucceeded": "Pruned {{item_count}} Completed Items from Queue",
+        "pruneFailed": "Problem Pruning Queue",
+        "clear": "Clear",
+        "clearTooltip": "Cancel and Clear All Items",
+        "clearSucceeded": "Queue Cleared",
+        "clearFailed": "Problem Clearing Queue",
+        "cancelBatch": "Cancel Batch",
+        "cancelItem": "Cancel Item",
+        "cancelBatchSucceeded": "Batch Canceled",
+        "cancelBatchFailed": "Problem Canceling Batch",
+        "current": "Current",
+        "next": "Next",
+        "status": "Status",
+        "total": "Total",
+        "pending": "Pending",
+        "in_progress": "In Progress",
+        "completed": "Completed",
+        "failed": "Failed",
+        "canceled": "Canceled",
+        "completedIn": "Completed in",
+        "batch": "Batch",
+        "item": "Item",
+        "session": "Session",
+        "batchValues": "Batch Values",
+        "notReady": "Unable to Queue",
+        "batchQueued": "Batch Queued",
+        "batchQueuedDesc": "Added {{item_count}} sessions to {{direction}} of queue",
+        "front": "front",
+        "back": "back",
+        "batchFailedToQueue": "Failed to Queue Batch",
+        "graphQueued": "Graph queued",
+        "graphFailedToQueue": "Failed to queue graph"
+    },
     "gallery": {
         "allImagesLoaded": "All Images Loaded",
         "assets": "Assets",
@@ -641,7 +700,8 @@
         "collectionItemDescription": "TODO",
         "colorCodeEdges": "Color-Code Edges",
         "colorCodeEdgesHelp": "Color-code edges according to their connected fields",
-        "colorCollectionDescription": "A collection of colors.",
+        "colorCollection": "A collection of colors.",
+        "colorCollectionDescription": "TODO",
         "colorField": "Color",
         "colorFieldDescription": "A RGBA color.",
         "colorPolymorphic": "Color Polymorphic",
@@ -688,7 +748,8 @@
         "imageFieldDescription": "Images may be passed between nodes.",
         "imagePolymorphic": "Image Polymorphic",
         "imagePolymorphicDescription": "A collection of images.",
-        "inputFields": "Input Feilds",
+        "inputField": "Input Field",
+        "inputFields": "Input Fields",
         "inputMayOnlyHaveOneConnection": "Input may only have one connection",
         "inputNode": "Input Node",
         "integer": "Integer",
@@ -706,6 +767,7 @@
         "latentsPolymorphicDescription": "Latents may be passed between nodes.",
         "loadingNodes": "Loading Nodes...",
         "loadWorkflow": "Load Workflow",
+        "noWorkflow": "No Workflow",
         "loRAModelField": "LoRA",
         "loRAModelFieldDescription": "TODO",
         "mainModelField": "Model",
@@ -727,14 +789,15 @@
         "noImageFoundState": "No initial image found in state",
         "noMatchingNodes": "No matching nodes",
         "noNodeSelected": "No node selected",
-        "noOpacity": "Node Opacity",
+        "nodeOpacity": "Node Opacity",
         "noOutputRecorded": "No outputs recorded",
         "noOutputSchemaName": "No output schema name found in ref object",
         "notes": "Notes",
         "notesDescription": "Add notes about your workflow",
         "oNNXModelField": "ONNX Model",
         "oNNXModelFieldDescription": "ONNX model field.",
-        "outputFields": "Output Feilds",
+        "outputField": "Output Field",
+        "outputFields": "Output Fields",
         "outputNode": "Output node",
         "outputSchemaNotFound": "Output schema not found",
         "pickOne": "Pick One",
@@ -783,6 +846,7 @@
         "unknownNode": "Unknown Node",
         "unknownTemplate": "Unknown Template",
         "unkownInvocation": "Unknown Invocation type",
+        "updateNode": "Update Node",
         "updateApp": "Update App",
         "vaeField": "Vae",
         "vaeFieldDescription": "Vae submodel.",
@@ -857,6 +921,7 @@
             "noInitialImageSelected": "No initial image selected",
             "noModelForControlNet": "ControlNet {{index}} has no model selected.",
             "noModelSelected": "No model selected",
+            "noPrompts": "No prompts generated",
             "noNodesInGraph": "No nodes in graph",
             "readyToInvoke": "Ready to Invoke",
             "systemBusy": "System busy",
@@ -875,7 +940,12 @@
         "perlinNoise": "Perlin Noise",
         "positivePromptPlaceholder": "Positive Prompt",
         "randomizeSeed": "Randomize Seed",
+        "manualSeed": "Manual Seed",
+        "randomSeed": "Random Seed",
         "restoreFaces": "Restore Faces",
+        "iterations": "Iterations",
+        "iterationsWithCount_one": "{{count}} Iteration",
+        "iterationsWithCount_other": "{{count}} Iterations",
         "scale": "Scale",
         "scaleBeforeProcessing": "Scale Before Processing",
         "scaledHeight": "Scaled H",
@@ -889,10 +959,11 @@
         "seamLowThreshold": "Low",
         "seed": "Seed",
         "seedWeights": "Seed Weights",
+        "imageActions": "Image Actions",
         "sendTo": "Send to",
         "sendToImg2Img": "Send to Image to Image",
         "sendToUnifiedCanvas": "Send To Unified Canvas",
-        "showOptionsPanel": "Show Options Panel",
+        "showOptionsPanel": "Show Side Panel (O or T)",
         "showPreview": "Show Preview",
         "shuffle": "Shuffle Seed",
         "steps": "Steps",
@@ -901,7 +972,7 @@
         "tileSize": "Tile Size",
         "toggleLoopback": "Toggle Loopback",
         "type": "Type",
-        "upscale": "Upscale",
+        "upscale": "Upscale (Shift + U)",
         "upscaleImage": "Upscale Image",
         "upscaling": "Upscaling",
         "useAll": "Use All",
@@ -914,11 +985,20 @@
         "vSymmetryStep": "V Symmetry Step",
         "width": "Width"
     },
-    "prompt": {
+    "dynamicPrompts": {
         "combinatorial": "Combinatorial Generation",
         "dynamicPrompts": "Dynamic Prompts",
         "enableDynamicPrompts": "Enable Dynamic Prompts",
-        "maxPrompts": "Max Prompts"
+        "maxPrompts": "Max Prompts",
+        "promptsWithCount_one": "{{count}} Prompt",
+        "promptsWithCount_other": "{{count}} Prompts",
+        "seedBehaviour": {
+            "label": "Seed Behaviour",
+            "perIterationLabel": "Seed per Iteration",
+            "perIterationDesc": "Use a different seed for each iteration",
+            "perPromptLabel": "Seed per Prompt",
+            "perPromptDesc": "Use a different seed for each prompt"
+        }
     },
     "sdxl": {
         "cfgScale": "CFG Scale",
diff --git a/invokeai/frontend/web/src/app/components/AuxiliaryProgressIndicator.tsx b/invokeai/frontend/web/src/app/components/AuxiliaryProgressIndicator.tsx
deleted file mode 100644
index a0c5d22266..0000000000
--- a/invokeai/frontend/web/src/app/components/AuxiliaryProgressIndicator.tsx
+++ /dev/null
@@ -1,44 +0,0 @@
-import { Flex, Spinner, Tooltip } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { useAppSelector } from 'app/store/storeHooks';
-import { systemSelector } from 'features/system/store/systemSelectors';
-import { memo } from 'react';
-
-const selector = createSelector(systemSelector, (system) => {
-  const { isUploading } = system;
-
-  let tooltip = '';
-
-  if (isUploading) {
-    tooltip = 'Uploading...';
-  }
-
-  return {
-    tooltip,
-    shouldShow: isUploading,
-  };
-});
-
-export const AuxiliaryProgressIndicator = () => {
-  const { shouldShow, tooltip } = useAppSelector(selector);
-
-  if (!shouldShow) {
-    return null;
-  }
-
-  return (
-    <Flex
-      sx={{
-        alignItems: 'center',
-        justifyContent: 'center',
-        color: 'base.600',
-      }}
-    >
-      <Tooltip label={tooltip} placement="right" hasArrow>
-        <Spinner />
-      </Tooltip>
-    </Flex>
-  );
-};
-
-export default memo(AuxiliaryProgressIndicator);
diff --git a/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts b/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts
index ac48fcc7b1..c77dfd5d86 100644
--- a/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts
+++ b/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts
@@ -1,6 +1,8 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useQueueBack } from 'features/queue/hooks/useQueueBack';
+import { useQueueFront } from 'features/queue/hooks/useQueueFront';
 import {
   ctrlKeyPressed,
   metaKeyPressed,
@@ -33,6 +35,39 @@ const globalHotkeysSelector = createSelector(
 const GlobalHotkeys: React.FC = () => {
   const dispatch = useAppDispatch();
   const { shift, ctrl, meta } = useAppSelector(globalHotkeysSelector);
+  const {
+    queueBack,
+    isDisabled: isDisabledQueueBack,
+    isLoading: isLoadingQueueBack,
+  } = useQueueBack();
+
+  useHotkeys(
+    ['ctrl+enter', 'meta+enter'],
+    queueBack,
+    {
+      enabled: () => !isDisabledQueueBack && !isLoadingQueueBack,
+      preventDefault: true,
+      enableOnFormTags: ['input', 'textarea', 'select'],
+    },
+    [queueBack, isDisabledQueueBack, isLoadingQueueBack]
+  );
+
+  const {
+    queueFront,
+    isDisabled: isDisabledQueueFront,
+    isLoading: isLoadingQueueFront,
+  } = useQueueFront();
+
+  useHotkeys(
+    ['ctrl+shift+enter', 'meta+shift+enter'],
+    queueFront,
+    {
+      enabled: () => !isDisabledQueueFront && !isLoadingQueueFront,
+      preventDefault: true,
+      enableOnFormTags: ['input', 'textarea', 'select'],
+    },
+    [queueFront, isDisabledQueueFront, isLoadingQueueFront]
+  );
 
   useHotkeys(
     '*',
diff --git a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
index 505b1e13b4..8c8c02ee85 100644
--- a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
+++ b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
@@ -17,6 +17,7 @@ import '../../i18n';
 import AppDndContext from '../../features/dnd/components/AppDndContext';
 import { $customStarUI, CustomStarUi } from 'app/store/nanostores/customStarUI';
 import { $headerComponent } from 'app/store/nanostores/headerComponent';
+import { $queueId, DEFAULT_QUEUE_ID } from 'features/queue/store/nanoStores';
 
 const App = lazy(() => import('./App'));
 const ThemeLocaleProvider = lazy(() => import('./ThemeLocaleProvider'));
@@ -28,6 +29,7 @@ interface Props extends PropsWithChildren {
   headerComponent?: ReactNode;
   middleware?: Middleware[];
   projectId?: string;
+  queueId?: string;
   selectedImage?: {
     imageName: string;
     action: 'sendToImg2Img' | 'sendToCanvas' | 'useAllParameters';
@@ -42,6 +44,7 @@ const InvokeAIUI = ({
   headerComponent,
   middleware,
   projectId,
+  queueId,
   selectedImage,
   customStarUi,
 }: Props) => {
@@ -61,6 +64,11 @@ const InvokeAIUI = ({
       $projectId.set(projectId);
     }
 
+    // configure API client project header
+    if (queueId) {
+      $queueId.set(queueId);
+    }
+
     // reset dynamically added middlewares
     resetMiddlewares();
 
@@ -81,8 +89,9 @@ const InvokeAIUI = ({
       $baseUrl.set(undefined);
       $authToken.set(undefined);
       $projectId.set(undefined);
+      $queueId.set(DEFAULT_QUEUE_ID);
     };
-  }, [apiUrl, token, middleware, projectId]);
+  }, [apiUrl, token, middleware, projectId, queueId]);
 
   useEffect(() => {
     if (customStarUi) {
diff --git a/invokeai/frontend/web/src/app/components/Toaster.ts b/invokeai/frontend/web/src/app/components/Toaster.ts
index 9d7149023b..e319bef59c 100644
--- a/invokeai/frontend/web/src/app/components/Toaster.ts
+++ b/invokeai/frontend/web/src/app/components/Toaster.ts
@@ -1,6 +1,5 @@
 import { useToast } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { toastQueueSelector } from 'features/system/store/systemSelectors';
 import { addToast, clearToastQueue } from 'features/system/store/systemSlice';
 import { MakeToastArg, makeToast } from 'features/system/util/makeToast';
 import { memo, useCallback, useEffect } from 'react';
@@ -11,7 +10,7 @@ import { memo, useCallback, useEffect } from 'react';
  */
 const Toaster = () => {
   const dispatch = useAppDispatch();
-  const toastQueue = useAppSelector(toastQueueSelector);
+  const toastQueue = useAppSelector((state) => state.system.toastQueue);
   const toast = useToast();
   useEffect(() => {
     toastQueue.forEach((t) => {
diff --git a/invokeai/frontend/web/src/app/logging/logger.ts b/invokeai/frontend/web/src/app/logging/logger.ts
index 2d7b8a7744..0e0a1a7324 100644
--- a/invokeai/frontend/web/src/app/logging/logger.ts
+++ b/invokeai/frontend/web/src/app/logging/logger.ts
@@ -20,6 +20,7 @@ export type LoggerNamespace =
   | 'system'
   | 'socketio'
   | 'session'
+  | 'queue'
   | 'dnd';
 
 export const logger = (namespace: LoggerNamespace) =>
diff --git a/invokeai/frontend/web/src/app/logging/useLogger.ts b/invokeai/frontend/web/src/app/logging/useLogger.ts
index d31bcc2660..697c3d3fc8 100644
--- a/invokeai/frontend/web/src/app/logging/useLogger.ts
+++ b/invokeai/frontend/web/src/app/logging/useLogger.ts
@@ -1,7 +1,7 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { createLogWriter } from '@roarr/browser-log-writer';
+import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import { systemSelector } from 'features/system/store/systemSelectors';
 import { isEqual } from 'lodash-es';
 import { useEffect, useMemo } from 'react';
 import { ROARR, Roarr } from 'roarr';
@@ -14,8 +14,8 @@ import {
 } from './logger';
 
 const selector = createSelector(
-  systemSelector,
-  (system) => {
+  stateSelector,
+  ({ system }) => {
     const { consoleLogLevel, shouldLogToConsole } = system;
 
     return {
diff --git a/invokeai/frontend/web/src/app/store/actions.ts b/invokeai/frontend/web/src/app/store/actions.ts
index e07920ce0c..418440a5fb 100644
--- a/invokeai/frontend/web/src/app/store/actions.ts
+++ b/invokeai/frontend/web/src/app/store/actions.ts
@@ -1,4 +1,10 @@
 import { createAction } from '@reduxjs/toolkit';
 import { InvokeTabName } from 'features/ui/store/tabMap';
+import { BatchConfig } from 'services/api/types';
 
-export const userInvoked = createAction<InvokeTabName>('app/userInvoked');
+export const enqueueRequested = createAction<{
+  tabName: InvokeTabName;
+  prepend: boolean;
+}>('app/enqueueRequested');
+
+export const batchEnqueued = createAction<BatchConfig>('app/batchEnqueued');
diff --git a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts
index 1b21770aa0..9de7f739a1 100644
--- a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts
+++ b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts
@@ -1,5 +1,6 @@
 import { canvasPersistDenylist } from 'features/canvas/store/canvasPersistDenylist';
 import { controlNetDenylist } from 'features/controlNet/store/controlNetDenylist';
+import { dynamicPromptsPersistDenylist } from 'features/dynamicPrompts/store/dynamicPromptsPersistDenylist';
 import { galleryPersistDenylist } from 'features/gallery/store/galleryPersistDenylist';
 import { nodesPersistDenylist } from 'features/nodes/store/nodesPersistDenylist';
 import { generationPersistDenylist } from 'features/parameters/store/generationPersistDenylist';
@@ -20,6 +21,7 @@ const serializationDenylist: {
   system: systemPersistDenylist,
   ui: uiPersistDenylist,
   controlNet: controlNetDenylist,
+  dynamicPrompts: dynamicPromptsPersistDenylist,
 };
 
 export const serialize: SerializeFunction = (data, key) => {
diff --git a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts
index 159952d654..508ab9f69a 100644
--- a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts
+++ b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts
@@ -1,9 +1,11 @@
 import { initialCanvasState } from 'features/canvas/store/canvasSlice';
 import { initialControlNetState } from 'features/controlNet/store/controlNetSlice';
+import { initialDynamicPromptsState } from 'features/dynamicPrompts/store/dynamicPromptsSlice';
 import { initialGalleryState } from 'features/gallery/store/gallerySlice';
 import { initialNodesState } from 'features/nodes/store/nodesSlice';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { initialPostprocessingState } from 'features/parameters/store/postprocessingSlice';
+import { initialSDXLState } from 'features/sdxl/store/sdxlSlice';
 import { initialConfigState } from 'features/system/store/configSlice';
 import { initialSystemState } from 'features/system/store/systemSlice';
 import { initialHotkeysState } from 'features/ui/store/hotkeysSlice';
@@ -24,6 +26,8 @@ const initialStates: {
   ui: initialUIState,
   hotkeys: initialHotkeysState,
   controlNet: initialControlNetState,
+  dynamicPrompts: initialDynamicPromptsState,
+  sdxl: initialSDXLState,
 };
 
 export const unserialize: UnserializeFunction = (data, key) => {
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
index 261edba0af..ead6e1cd42 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
@@ -9,6 +9,7 @@ import {
 import type { AppDispatch, RootState } from '../../store';
 import { addCommitStagingAreaImageListener } from './listeners/addCommitStagingAreaImageListener';
 import { addFirstListImagesListener } from './listeners/addFirstListImagesListener.ts';
+import { addAnyEnqueuedListener } from './listeners/anyEnqueued';
 import { addAppConfigReceivedListener } from './listeners/appConfigReceived';
 import { addAppStartedListener } from './listeners/appStarted';
 import { addDeleteBoardAndImagesFulfilledListener } from './listeners/boardAndImagesDeleted';
@@ -22,6 +23,9 @@ import { addCanvasMergedListener } from './listeners/canvasMerged';
 import { addCanvasSavedToGalleryListener } from './listeners/canvasSavedToGallery';
 import { addControlNetAutoProcessListener } from './listeners/controlNetAutoProcess';
 import { addControlNetImageProcessedListener } from './listeners/controlNetImageProcessed';
+import { addEnqueueRequestedCanvasListener } from './listeners/enqueueRequestedCanvas';
+import { addEnqueueRequestedLinear } from './listeners/enqueueRequestedLinear';
+import { addEnqueueRequestedNodes } from './listeners/enqueueRequestedNodes';
 import {
   addImageAddedToBoardFulfilledListener,
   addImageAddedToBoardRejectedListener,
@@ -48,6 +52,7 @@ import { addImagesUnstarredListener } from './listeners/imagesUnstarred';
 import { addInitialImageSelectedListener } from './listeners/initialImageSelected';
 import { addModelSelectedListener } from './listeners/modelSelected';
 import { addModelsLoadedListener } from './listeners/modelsLoaded';
+import { addDynamicPromptsListener } from './listeners/promptChanged';
 import { addReceivedOpenAPISchemaListener } from './listeners/receivedOpenAPISchema';
 import {
   addSessionCanceledFulfilledListener,
@@ -64,7 +69,6 @@ import {
   addSessionInvokedPendingListener,
   addSessionInvokedRejectedListener,
 } from './listeners/sessionInvoked';
-import { addSessionReadyToInvokeListener } from './listeners/sessionReadyToInvoke';
 import { addSocketConnectedEventListener as addSocketConnectedListener } from './listeners/socketio/socketConnected';
 import { addSocketDisconnectedEventListener as addSocketDisconnectedListener } from './listeners/socketio/socketDisconnected';
 import { addGeneratorProgressEventListener as addGeneratorProgressListener } from './listeners/socketio/socketGeneratorProgress';
@@ -74,16 +78,13 @@ import { addInvocationErrorEventListener as addInvocationErrorListener } from '.
 import { addInvocationRetrievalErrorEventListener } from './listeners/socketio/socketInvocationRetrievalError';
 import { addInvocationStartedEventListener as addInvocationStartedListener } from './listeners/socketio/socketInvocationStarted';
 import { addModelLoadEventListener } from './listeners/socketio/socketModelLoad';
+import { addSocketQueueItemStatusChangedEventListener } from './listeners/socketio/socketQueueItemStatusChanged';
 import { addSessionRetrievalErrorEventListener } from './listeners/socketio/socketSessionRetrievalError';
 import { addSocketSubscribedEventListener as addSocketSubscribedListener } from './listeners/socketio/socketSubscribed';
 import { addSocketUnsubscribedEventListener as addSocketUnsubscribedListener } from './listeners/socketio/socketUnsubscribed';
 import { addStagingAreaImageSavedListener } from './listeners/stagingAreaImageSaved';
 import { addTabChangedListener } from './listeners/tabChanged';
 import { addUpscaleRequestedListener } from './listeners/upscaleRequested';
-import { addUserInvokedCanvasListener } from './listeners/userInvokedCanvas';
-import { addUserInvokedImageToImageListener } from './listeners/userInvokedImageToImage';
-import { addUserInvokedNodesListener } from './listeners/userInvokedNodes';
-import { addUserInvokedTextToImageListener } from './listeners/userInvokedTextToImage';
 import { addWorkflowLoadedListener } from './listeners/workflowLoaded';
 
 export const listenerMiddleware = createListenerMiddleware();
@@ -131,11 +132,10 @@ addImagesStarredListener();
 addImagesUnstarredListener();
 
 // User Invoked
-addUserInvokedCanvasListener();
-addUserInvokedNodesListener();
-addUserInvokedTextToImageListener();
-addUserInvokedImageToImageListener();
-addSessionReadyToInvokeListener();
+addEnqueueRequestedCanvasListener();
+addEnqueueRequestedNodes();
+addEnqueueRequestedLinear();
+addAnyEnqueuedListener();
 
 // Canvas actions
 addCanvasSavedToGalleryListener();
@@ -173,6 +173,7 @@ addSocketUnsubscribedListener();
 addModelLoadEventListener();
 addSessionRetrievalErrorEventListener();
 addInvocationRetrievalErrorEventListener();
+addSocketQueueItemStatusChangedEventListener();
 
 // Session Created
 addSessionCreatedPendingListener();
@@ -223,3 +224,6 @@ addUpscaleRequestedListener();
 
 // Tab Change
 addTabChangedListener();
+
+// Dynamic prompts
+addDynamicPromptsListener();
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts
index d157fae7ed..4ee1bdb15a 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts
@@ -1,39 +1,53 @@
+import { isAnyOf } from '@reduxjs/toolkit';
 import { logger } from 'app/logging/logger';
-import { commitStagingAreaImage } from 'features/canvas/store/canvasSlice';
-import { sessionCanceled } from 'services/api/thunks/session';
+import {
+  canvasBatchesAndSessionsReset,
+  commitStagingAreaImage,
+  discardStagedImages,
+} from 'features/canvas/store/canvasSlice';
+import { addToast } from 'features/system/store/systemSlice';
+import { t } from 'i18next';
+import { queueApi } from 'services/api/endpoints/queue';
 import { startAppListening } from '..';
 
+const matcher = isAnyOf(commitStagingAreaImage, discardStagedImages);
+
 export const addCommitStagingAreaImageListener = () => {
   startAppListening({
-    actionCreator: commitStagingAreaImage,
-    effect: async (action, { dispatch, getState }) => {
+    matcher,
+    effect: async (_, { dispatch, getState }) => {
       const log = logger('canvas');
       const state = getState();
-      const { sessionId: session_id, isProcessing } = state.system;
-      const canvasSessionId = action.payload;
+      const { batchIds } = state.canvas;
 
-      if (!isProcessing) {
-        // Only need to cancel if we are processing
-        return;
-      }
-
-      if (!canvasSessionId) {
-        log.debug('No canvas session, skipping cancel');
-        return;
-      }
-
-      if (canvasSessionId !== session_id) {
-        log.debug(
-          {
-            canvasSessionId,
-            session_id,
-          },
-          'Canvas session does not match global session, skipping cancel'
+      try {
+        const req = dispatch(
+          queueApi.endpoints.cancelByBatchIds.initiate(
+            { batch_ids: batchIds },
+            { fixedCacheKey: 'cancelByBatchIds' }
+          )
+        );
+        const { canceled } = await req.unwrap();
+        req.reset();
+        if (canceled > 0) {
+          log.debug(`Canceled ${canceled} canvas batches`);
+          dispatch(
+            addToast({
+              title: t('queue.cancelBatchSucceeded'),
+              status: 'success',
+            })
+          );
+        }
+        dispatch(canvasBatchesAndSessionsReset());
+      } catch {
+        log.error('Failed to cancel canvas batches');
+        dispatch(
+          addToast({
+            title: t('queue.cancelBatchFailed'),
+            status: 'error',
+          })
         );
-        return;
       }
-
-      dispatch(sessionCanceled({ session_id }));
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/anyEnqueued.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/anyEnqueued.ts
new file mode 100644
index 0000000000..ff11491b53
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/anyEnqueued.ts
@@ -0,0 +1,27 @@
+import { isAnyOf } from '@reduxjs/toolkit';
+import { queueApi } from 'services/api/endpoints/queue';
+import { startAppListening } from '..';
+
+const matcher = isAnyOf(
+  queueApi.endpoints.enqueueBatch.matchFulfilled,
+  queueApi.endpoints.enqueueGraph.matchFulfilled
+);
+
+export const addAnyEnqueuedListener = () => {
+  startAppListening({
+    matcher,
+    effect: async (_, { dispatch, getState }) => {
+      const { data } = queueApi.endpoints.getQueueStatus.select()(getState());
+
+      if (!data || data.processor.is_started) {
+        return;
+      }
+
+      dispatch(
+        queueApi.endpoints.resumeProcessor.initiate(undefined, {
+          fixedCacheKey: 'resumeProcessor',
+        })
+      );
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts
index 61bcf28833..ffb1c9565f 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts
@@ -52,11 +52,9 @@ const predicate: AnyListenerPredicate<RootState> = (
 
   const isProcessorSelected = processorType !== 'none';
 
-  const isBusy = state.system.isProcessing;
-
   const hasControlImage = Boolean(controlImage);
 
-  return isProcessorSelected && !isBusy && hasControlImage;
+  return isProcessorSelected && hasControlImage;
 };
 
 /**
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts
index fa915ef21b..185ada39e8 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts
@@ -1,10 +1,13 @@
 import { logger } from 'app/logging/logger';
+import { parseify } from 'common/util/serialize';
 import { controlNetImageProcessed } from 'features/controlNet/store/actions';
 import { controlNetProcessedImageChanged } from 'features/controlNet/store/controlNetSlice';
-import { sessionReadyToInvoke } from 'features/system/store/actions';
+import { SAVE_IMAGE } from 'features/nodes/util/graphBuilders/constants';
+import { addToast } from 'features/system/store/systemSlice';
+import { t } from 'i18next';
 import { imagesApi } from 'services/api/endpoints/images';
+import { queueApi } from 'services/api/endpoints/queue';
 import { isImageOutput } from 'services/api/guards';
-import { sessionCreated } from 'services/api/thunks/session';
 import { Graph, ImageDTO } from 'services/api/types';
 import { socketInvocationComplete } from 'services/events/actions';
 import { startAppListening } from '..';
@@ -31,51 +34,84 @@ export const addControlNetImageProcessedListener = () => {
             is_intermediate: true,
             image: { image_name: controlNet.controlImage },
           },
+          [SAVE_IMAGE]: {
+            id: SAVE_IMAGE,
+            type: 'save_image',
+            is_intermediate: true,
+            use_cache: false,
+          },
         },
+        edges: [
+          {
+            source: {
+              node_id: controlNet.processorNode.id,
+              field: 'image',
+            },
+            destination: {
+              node_id: SAVE_IMAGE,
+              field: 'image',
+            },
+          },
+        ],
       };
-
-      // Create a session to run the graph & wait til it's ready to invoke
-      const sessionCreatedAction = dispatch(sessionCreated({ graph }));
-      const [sessionCreatedFulfilledAction] = await take(
-        (action): action is ReturnType<typeof sessionCreated.fulfilled> =>
-          sessionCreated.fulfilled.match(action) &&
-          action.meta.requestId === sessionCreatedAction.requestId
-      );
-
-      const sessionId = sessionCreatedFulfilledAction.payload.id;
-
-      // Invoke the session & wait til it's complete
-      dispatch(sessionReadyToInvoke());
-      const [invocationCompleteAction] = await take(
-        (action): action is ReturnType<typeof socketInvocationComplete> =>
-          socketInvocationComplete.match(action) &&
-          action.payload.data.graph_execution_state_id === sessionId
-      );
-
-      // We still have to check the output type
-      if (isImageOutput(invocationCompleteAction.payload.data.result)) {
-        const { image_name } =
-          invocationCompleteAction.payload.data.result.image;
-
-        // Wait for the ImageDTO to be received
-        const [{ payload }] = await take(
-          (action) =>
-            imagesApi.endpoints.getImageDTO.matchFulfilled(action) &&
-            action.payload.image_name === image_name
+      try {
+        const req = dispatch(
+          queueApi.endpoints.enqueueGraph.initiate(
+            { graph, prepend: true },
+            {
+              fixedCacheKey: 'enqueueGraph',
+            }
+          )
         );
-
-        const processedControlImage = payload as ImageDTO;
-
+        const enqueueResult = await req.unwrap();
+        req.reset();
+        console.log(enqueueResult.queue_item.session_id);
         log.debug(
-          { controlNetId: action.payload, processedControlImage },
-          'ControlNet image processed'
+          { enqueueResult: parseify(enqueueResult) },
+          t('queue.graphQueued')
         );
 
-        // Update the processed image in the store
+        const [invocationCompleteAction] = await take(
+          (action): action is ReturnType<typeof socketInvocationComplete> =>
+            socketInvocationComplete.match(action) &&
+            action.payload.data.graph_execution_state_id ===
+              enqueueResult.queue_item.session_id &&
+            action.payload.data.source_node_id === SAVE_IMAGE
+        );
+
+        // We still have to check the output type
+        if (isImageOutput(invocationCompleteAction.payload.data.result)) {
+          const { image_name } =
+            invocationCompleteAction.payload.data.result.image;
+
+          // Wait for the ImageDTO to be received
+          const [{ payload }] = await take(
+            (action) =>
+              imagesApi.endpoints.getImageDTO.matchFulfilled(action) &&
+              action.payload.image_name === image_name
+          );
+
+          const processedControlImage = payload as ImageDTO;
+
+          log.debug(
+            { controlNetId: action.payload, processedControlImage },
+            'ControlNet image processed'
+          );
+
+          // Update the processed image in the store
+          dispatch(
+            controlNetProcessedImageChanged({
+              controlNetId,
+              processedControlImage: processedControlImage.image_name,
+            })
+          );
+        }
+      } catch {
+        log.error({ graph: parseify(graph) }, t('queue.graphFailedToQueue'));
         dispatch(
-          controlNetProcessedImageChanged({
-            controlNetId,
-            processedControlImage: processedControlImage.image_name,
+          addToast({
+            title: t('queue.graphFailedToQueue'),
+            status: 'error',
           })
         );
       }
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedCanvas.ts
similarity index 65%
rename from invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
rename to invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedCanvas.ts
index cd6791cc0b..c1511bd0e8 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedCanvas.ts
@@ -1,9 +1,9 @@
 import { logger } from 'app/logging/logger';
-import { userInvoked } from 'app/store/actions';
+import { enqueueRequested } from 'app/store/actions';
 import openBase64ImageInTab from 'common/util/openBase64ImageInTab';
 import { parseify } from 'common/util/serialize';
 import {
-  canvasSessionIdChanged,
+  canvasBatchIdAdded,
   stagingAreaInitialized,
 } from 'features/canvas/store/canvasSlice';
 import { blobToDataURL } from 'features/canvas/util/blobToDataURL';
@@ -11,9 +11,11 @@ import { getCanvasData } from 'features/canvas/util/getCanvasData';
 import { getCanvasGenerationMode } from 'features/canvas/util/getCanvasGenerationMode';
 import { canvasGraphBuilt } from 'features/nodes/store/actions';
 import { buildCanvasGraph } from 'features/nodes/util/graphBuilders/buildCanvasGraph';
-import { sessionReadyToInvoke } from 'features/system/store/actions';
+import { prepareLinearUIBatch } from 'features/nodes/util/graphBuilders/buildLinearBatchConfig';
+import { addToast } from 'features/system/store/systemSlice';
+import { t } from 'i18next';
 import { imagesApi } from 'services/api/endpoints/images';
-import { sessionCreated } from 'services/api/thunks/session';
+import { queueApi } from 'services/api/endpoints/queue';
 import { ImageDTO } from 'services/api/types';
 import { startAppListening } from '..';
 
@@ -30,13 +32,14 @@ import { startAppListening } from '..';
  * 8. Initialize the staging area if not yet initialized
  * 9. Dispatch the sessionReadyToInvoke action to invoke the session
  */
-export const addUserInvokedCanvasListener = () => {
+export const addEnqueueRequestedCanvasListener = () => {
   startAppListening({
-    predicate: (action): action is ReturnType<typeof userInvoked> =>
-      userInvoked.match(action) && action.payload === 'unifiedCanvas',
-    effect: async (action, { getState, dispatch, take }) => {
-      const log = logger('session');
-
+    predicate: (action): action is ReturnType<typeof enqueueRequested> =>
+      enqueueRequested.match(action) &&
+      action.payload.tabName === 'unifiedCanvas',
+    effect: async (action, { getState, dispatch }) => {
+      const log = logger('queue');
+      const { prepend } = action.payload;
       const state = getState();
 
       const {
@@ -125,57 +128,59 @@ export const addUserInvokedCanvasListener = () => {
       // currently this action is just listened to for logging
       dispatch(canvasGraphBuilt(graph));
 
-      // Create the session, store the request id
-      const { requestId: sessionCreatedRequestId } = dispatch(
-        sessionCreated({ graph })
-      );
+      const batchConfig = prepareLinearUIBatch(state, graph, prepend);
 
-      // Take the session created action, matching by its request id
-      const [sessionCreatedAction] = await take(
-        (action): action is ReturnType<typeof sessionCreated.fulfilled> =>
-          sessionCreated.fulfilled.match(action) &&
-          action.meta.requestId === sessionCreatedRequestId
-      );
-      const session_id = sessionCreatedAction.payload.id;
+      try {
+        const req = dispatch(
+          queueApi.endpoints.enqueueBatch.initiate(batchConfig, {
+            fixedCacheKey: 'enqueueBatch',
+          })
+        );
+
+        const enqueueResult = await req.unwrap();
+        req.reset();
+
+        log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued');
+
+        const batchId = enqueueResult.batch.batch_id as string; // we know the is a string, backend provides it
+
+        // Prep the canvas staging area if it is not yet initialized
+        if (!state.canvas.layerState.stagingArea.boundingBox) {
+          dispatch(
+            stagingAreaInitialized({
+              boundingBox: {
+                ...state.canvas.boundingBoxCoordinates,
+                ...state.canvas.boundingBoxDimensions,
+              },
+            })
+          );
+        }
+
+        // Associate the session with the canvas session ID
+        dispatch(canvasBatchIdAdded(batchId));
 
-      // Associate the init image with the session, now that we have the session ID
-      if (['img2img', 'inpaint'].includes(generationMode) && canvasInitImage) {
         dispatch(
-          imagesApi.endpoints.changeImageSessionId.initiate({
-            imageDTO: canvasInitImage,
-            session_id,
+          addToast({
+            title: t('queue.batchQueued'),
+            description: t('queue.batchQueuedDesc', {
+              item_count: enqueueResult.enqueued,
+              direction: prepend ? t('queue.front') : t('queue.back'),
+            }),
+            status: 'success',
+          })
+        );
+      } catch {
+        log.error(
+          { batchConfig: parseify(batchConfig) },
+          t('queue.batchFailedToQueue')
+        );
+        dispatch(
+          addToast({
+            title: t('queue.batchFailedToQueue'),
+            status: 'error',
           })
         );
       }
-
-      // Associate the mask image with the session, now that we have the session ID
-      if (['inpaint'].includes(generationMode) && canvasMaskImage) {
-        dispatch(
-          imagesApi.endpoints.changeImageSessionId.initiate({
-            imageDTO: canvasMaskImage,
-            session_id,
-          })
-        );
-      }
-
-      // Prep the canvas staging area if it is not yet initialized
-      if (!state.canvas.layerState.stagingArea.boundingBox) {
-        dispatch(
-          stagingAreaInitialized({
-            sessionId: session_id,
-            boundingBox: {
-              ...state.canvas.boundingBoxCoordinates,
-              ...state.canvas.boundingBoxDimensions,
-            },
-          })
-        );
-      }
-
-      // Flag the session with the canvas session ID
-      dispatch(canvasSessionIdChanged(session_id));
-
-      // We are ready to invoke the session!
-      dispatch(sessionReadyToInvoke());
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts
new file mode 100644
index 0000000000..e36c6f2ebe
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts
@@ -0,0 +1,78 @@
+import { logger } from 'app/logging/logger';
+import { enqueueRequested } from 'app/store/actions';
+import { parseify } from 'common/util/serialize';
+import { prepareLinearUIBatch } from 'features/nodes/util/graphBuilders/buildLinearBatchConfig';
+import { buildLinearImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearImageToImageGraph';
+import { buildLinearSDXLImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph';
+import { buildLinearSDXLTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph';
+import { buildLinearTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearTextToImageGraph';
+import { addToast } from 'features/system/store/systemSlice';
+import { t } from 'i18next';
+import { queueApi } from 'services/api/endpoints/queue';
+import { startAppListening } from '..';
+
+export const addEnqueueRequestedLinear = () => {
+  startAppListening({
+    predicate: (action): action is ReturnType<typeof enqueueRequested> =>
+      enqueueRequested.match(action) &&
+      (action.payload.tabName === 'txt2img' ||
+        action.payload.tabName === 'img2img'),
+    effect: async (action, { getState, dispatch }) => {
+      const log = logger('queue');
+      const state = getState();
+      const model = state.generation.model;
+      const { prepend } = action.payload;
+
+      let graph;
+
+      if (model && model.base_model === 'sdxl') {
+        if (action.payload.tabName === 'txt2img') {
+          graph = buildLinearSDXLTextToImageGraph(state);
+        } else {
+          graph = buildLinearSDXLImageToImageGraph(state);
+        }
+      } else {
+        if (action.payload.tabName === 'txt2img') {
+          graph = buildLinearTextToImageGraph(state);
+        } else {
+          graph = buildLinearImageToImageGraph(state);
+        }
+      }
+
+      const batchConfig = prepareLinearUIBatch(state, graph, prepend);
+
+      try {
+        const req = dispatch(
+          queueApi.endpoints.enqueueBatch.initiate(batchConfig, {
+            fixedCacheKey: 'enqueueBatch',
+          })
+        );
+        const enqueueResult = await req.unwrap();
+        req.reset();
+
+        log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued');
+        dispatch(
+          addToast({
+            title: t('queue.batchQueued'),
+            description: t('queue.batchQueuedDesc', {
+              item_count: enqueueResult.enqueued,
+              direction: prepend ? t('queue.front') : t('queue.back'),
+            }),
+            status: 'success',
+          })
+        );
+      } catch {
+        log.error(
+          { batchConfig: parseify(batchConfig) },
+          t('queue.batchFailedToQueue')
+        );
+        dispatch(
+          addToast({
+            title: t('queue.batchFailedToQueue'),
+            status: 'error',
+          })
+        );
+      }
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts
new file mode 100644
index 0000000000..31281678d4
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts
@@ -0,0 +1,62 @@
+import { logger } from 'app/logging/logger';
+import { enqueueRequested } from 'app/store/actions';
+import { parseify } from 'common/util/serialize';
+import { buildNodesGraph } from 'features/nodes/util/graphBuilders/buildNodesGraph';
+import { addToast } from 'features/system/store/systemSlice';
+import { t } from 'i18next';
+import { queueApi } from 'services/api/endpoints/queue';
+import { BatchConfig } from 'services/api/types';
+import { startAppListening } from '..';
+
+export const addEnqueueRequestedNodes = () => {
+  startAppListening({
+    predicate: (action): action is ReturnType<typeof enqueueRequested> =>
+      enqueueRequested.match(action) && action.payload.tabName === 'nodes',
+    effect: async (action, { getState, dispatch }) => {
+      const log = logger('queue');
+      const state = getState();
+      const { prepend } = action.payload;
+      const graph = buildNodesGraph(state.nodes);
+      const batchConfig: BatchConfig = {
+        batch: {
+          graph,
+          runs: state.generation.iterations,
+        },
+        prepend: action.payload.prepend,
+      };
+
+      try {
+        const req = dispatch(
+          queueApi.endpoints.enqueueBatch.initiate(batchConfig, {
+            fixedCacheKey: 'enqueueBatch',
+          })
+        );
+        const enqueueResult = await req.unwrap();
+        req.reset();
+
+        log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued');
+        dispatch(
+          addToast({
+            title: t('queue.batchQueued'),
+            description: t('queue.batchQueuedDesc', {
+              item_count: enqueueResult.enqueued,
+              direction: prepend ? t('queue.front') : t('queue.back'),
+            }),
+            status: 'success',
+          })
+        );
+      } catch {
+        log.error(
+          { batchConfig: parseify(batchConfig) },
+          'Failed to enqueue batch'
+        );
+        dispatch(
+          addToast({
+            title: t('queue.batchFailedToQueue'),
+            status: 'error',
+          })
+        );
+      }
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/promptChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/promptChanged.ts
new file mode 100644
index 0000000000..a48a84a30f
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/promptChanged.ts
@@ -0,0 +1,67 @@
+import { isAnyOf } from '@reduxjs/toolkit';
+import {
+  combinatorialToggled,
+  isErrorChanged,
+  isLoadingChanged,
+  maxPromptsChanged,
+  maxPromptsReset,
+  parsingErrorChanged,
+  promptsChanged,
+} from 'features/dynamicPrompts/store/dynamicPromptsSlice';
+import { setPositivePrompt } from 'features/parameters/store/generationSlice';
+import { utilitiesApi } from 'services/api/endpoints/utilities';
+import { appSocketConnected } from 'services/events/actions';
+import { startAppListening } from '..';
+
+const matcher = isAnyOf(
+  setPositivePrompt,
+  combinatorialToggled,
+  maxPromptsChanged,
+  maxPromptsReset,
+  appSocketConnected
+);
+
+export const addDynamicPromptsListener = () => {
+  startAppListening({
+    matcher,
+    effect: async (
+      action,
+      { dispatch, getState, cancelActiveListeners, delay }
+    ) => {
+      // debounce request
+      cancelActiveListeners();
+      await delay(1000);
+
+      const state = getState();
+
+      if (state.config.disabledFeatures.includes('dynamicPrompting')) {
+        return;
+      }
+
+      const { positivePrompt } = state.generation;
+      const { maxPrompts } = state.dynamicPrompts;
+
+      dispatch(isLoadingChanged(true));
+
+      try {
+        const req = dispatch(
+          utilitiesApi.endpoints.dynamicPrompts.initiate({
+            prompt: positivePrompt,
+            max_prompts: maxPrompts,
+          })
+        );
+
+        const res = await req.unwrap();
+        req.unsubscribe();
+
+        dispatch(promptsChanged(res.prompts));
+        dispatch(parsingErrorChanged(res.error));
+        dispatch(isErrorChanged(false));
+        dispatch(isLoadingChanged(false));
+      } catch {
+        dispatch(isErrorChanged(true));
+        dispatch(isLoadingChanged(false));
+      }
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionReadyToInvoke.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionReadyToInvoke.ts
deleted file mode 100644
index 0267eb629b..0000000000
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionReadyToInvoke.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-import { logger } from 'app/logging/logger';
-import { sessionReadyToInvoke } from 'features/system/store/actions';
-import { sessionInvoked } from 'services/api/thunks/session';
-import { startAppListening } from '..';
-
-export const addSessionReadyToInvokeListener = () => {
-  startAppListening({
-    actionCreator: sessionReadyToInvoke,
-    effect: (action, { getState, dispatch }) => {
-      const log = logger('session');
-      const { sessionId: session_id } = getState().system;
-      if (session_id) {
-        log.debug({ session_id }, `Session ready to invoke (${session_id})})`);
-        dispatch(sessionInvoked({ session_id }));
-      }
-    },
-  });
-};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
index 739bbd7110..b81aa36455 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
@@ -1,11 +1,9 @@
 import { logger } from 'app/logging/logger';
-import { LIST_TAG } from 'services/api';
-import { appInfoApi } from 'services/api/endpoints/appInfo';
-import { modelsApi } from 'services/api/endpoints/models';
+import { size } from 'lodash-es';
+import { api } from 'services/api';
 import { receivedOpenAPISchema } from 'services/api/thunks/schema';
 import { appSocketConnected, socketConnected } from 'services/events/actions';
 import { startAppListening } from '../..';
-import { size } from 'lodash-es';
 
 export const addSocketConnectedEventListener = () => {
   startAppListening({
@@ -23,22 +21,10 @@ export const addSocketConnectedEventListener = () => {
         dispatch(receivedOpenAPISchema());
       }
 
+      dispatch(api.util.resetApiState());
+
       // pass along the socket event as an application action
       dispatch(appSocketConnected(action.payload));
-
-      // update all server state
-      dispatch(
-        modelsApi.util.invalidateTags([
-          { type: 'MainModel', id: LIST_TAG },
-          { type: 'SDXLRefinerModel', id: LIST_TAG },
-          { type: 'LoRAModel', id: LIST_TAG },
-          { type: 'ControlNetModel', id: LIST_TAG },
-          { type: 'VaeModel', id: LIST_TAG },
-          { type: 'TextualInversionModel', id: LIST_TAG },
-          { type: 'ScannedModels', id: LIST_TAG },
-        ])
-      );
-      dispatch(appInfoApi.util.invalidateTags(['AppConfig', 'AppVersion']));
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts
index dfbdd25595..05ff8cd0e6 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts
@@ -1,4 +1,5 @@
 import { logger } from 'app/logging/logger';
+import { api } from 'services/api';
 import {
   appSocketDisconnected,
   socketDisconnected,
@@ -11,6 +12,9 @@ export const addSocketDisconnectedEventListener = () => {
     effect: (action, { dispatch }) => {
       const log = logger('socketio');
       log.debug('Disconnected');
+
+      dispatch(api.util.resetApiState());
+
       // pass along the socket event as an application action
       dispatch(appSocketDisconnected(action.payload));
     },
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts
index 72fa317037..44d6ceed63 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts
@@ -8,25 +8,11 @@ import { startAppListening } from '../..';
 export const addGeneratorProgressEventListener = () => {
   startAppListening({
     actionCreator: socketGeneratorProgress,
-    effect: (action, { dispatch, getState }) => {
+    effect: (action, { dispatch }) => {
       const log = logger('socketio');
-      if (
-        getState().system.canceledSession ===
-        action.payload.data.graph_execution_state_id
-      ) {
-        log.trace(
-          action.payload,
-          'Ignored generator progress for canceled session'
-        );
-        return;
-      }
 
-      log.trace(
-        action.payload,
-        `Generator progress (${action.payload.data.node.type})`
-      );
+      log.trace(action.payload, `Generator progress`);
 
-      // pass along the socket event as an application action
       dispatch(appSocketGeneratorProgress(action.payload));
     },
   });
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
index 5501f208fd..d326a122c9 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
@@ -8,10 +8,8 @@ import {
 } from 'features/gallery/store/gallerySlice';
 import { IMAGE_CATEGORIES } from 'features/gallery/store/types';
 import { CANVAS_OUTPUT } from 'features/nodes/util/graphBuilders/constants';
-import { progressImageSet } from 'features/system/store/systemSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { isImageOutput } from 'services/api/guards';
-import { sessionCanceled } from 'services/api/thunks/session';
 import { imagesAdapter } from 'services/api/util';
 import {
   appSocketInvocationComplete,
@@ -31,14 +29,6 @@ export const addInvocationCompleteEventListener = () => {
         { data: parseify(data) },
         `Invocation complete (${action.payload.data.node.type})`
       );
-      const session_id = action.payload.data.graph_execution_state_id;
-
-      const { cancelType, isCancelScheduled } = getState().system;
-
-      // Handle scheduled cancelation
-      if (cancelType === 'scheduled' && isCancelScheduled) {
-        dispatch(sessionCanceled({ session_id }));
-      }
 
       const { result, node, graph_execution_state_id } = data;
 
@@ -53,8 +43,7 @@ export const addInvocationCompleteEventListener = () => {
 
         // Add canvas images to the staging area
         if (
-          graph_execution_state_id ===
-            canvas.layerState.stagingArea.sessionId &&
+          canvas.sessionIds.includes(graph_execution_state_id) &&
           [CANVAS_OUTPUT].includes(data.source_node_id)
         ) {
           dispatch(addImageToStagingArea(imageDTO));
@@ -87,6 +76,7 @@ export const addInvocationCompleteEventListener = () => {
                   categories: IMAGE_CATEGORIES,
                 },
                 (draft) => {
+                  console.log(draft);
                   imagesAdapter.addOne(draft, imageDTO);
                 }
               )
@@ -114,8 +104,6 @@ export const addInvocationCompleteEventListener = () => {
             dispatch(imageSelected(imageDTO));
           }
         }
-
-        dispatch(progressImageSet(null));
       }
       // pass along the socket event as an application action
       dispatch(appSocketInvocationComplete(action.payload));
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts
index 4e77811762..50f52e2851 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts
@@ -8,23 +8,14 @@ import { startAppListening } from '../..';
 export const addInvocationStartedEventListener = () => {
   startAppListening({
     actionCreator: socketInvocationStarted,
-    effect: (action, { dispatch, getState }) => {
+    effect: (action, { dispatch }) => {
       const log = logger('socketio');
-      if (
-        getState().system.canceledSession ===
-        action.payload.data.graph_execution_state_id
-      ) {
-        log.trace(
-          action.payload,
-          'Ignored invocation started for canceled session'
-        );
-        return;
-      }
 
       log.debug(
         action.payload,
         `Invocation started (${action.payload.data.node.type})`
       );
+
       dispatch(appSocketInvocationStarted(action.payload));
     },
   });
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts
new file mode 100644
index 0000000000..a56fb4cc76
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts
@@ -0,0 +1,56 @@
+import { logger } from 'app/logging/logger';
+import { canvasSessionIdAdded } from 'features/canvas/store/canvasSlice';
+import { queueApi, queueItemsAdapter } from 'services/api/endpoints/queue';
+import {
+  appSocketQueueItemStatusChanged,
+  socketQueueItemStatusChanged,
+} from 'services/events/actions';
+import { startAppListening } from '../..';
+
+export const addSocketQueueItemStatusChangedEventListener = () => {
+  startAppListening({
+    actionCreator: socketQueueItemStatusChanged,
+    effect: (action, { dispatch, getState }) => {
+      const log = logger('socketio');
+      const {
+        queue_item_id: item_id,
+        batch_id,
+        graph_execution_state_id,
+        status,
+      } = action.payload.data;
+      log.debug(
+        action.payload,
+        `Queue item ${item_id} status updated: ${status}`
+      );
+      dispatch(appSocketQueueItemStatusChanged(action.payload));
+
+      dispatch(
+        queueApi.util.updateQueryData('listQueueItems', undefined, (draft) => {
+          if (!draft) {
+            console.log('no draft!');
+          }
+          queueItemsAdapter.updateOne(draft, {
+            id: item_id,
+            changes: action.payload.data,
+          });
+        })
+      );
+
+      const state = getState();
+      if (state.canvas.batchIds.includes(batch_id)) {
+        dispatch(canvasSessionIdAdded(graph_execution_state_id));
+      }
+
+      dispatch(
+        queueApi.util.invalidateTags([
+          'CurrentSessionQueueItem',
+          'NextSessionQueueItem',
+          'SessionQueueStatus',
+          { type: 'SessionQueueItem', id: item_id },
+          { type: 'SessionQueueItemDTO', id: item_id },
+          { type: 'BatchStatus', id: batch_id },
+        ])
+      );
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts
index a05527790e..1f9354ee67 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts
@@ -1,14 +1,17 @@
 import { logger } from 'app/logging/logger';
-import { appSocketSubscribed, socketSubscribed } from 'services/events/actions';
+import {
+  appSocketSubscribedSession,
+  socketSubscribedSession,
+} from 'services/events/actions';
 import { startAppListening } from '../..';
 
 export const addSocketSubscribedEventListener = () => {
   startAppListening({
-    actionCreator: socketSubscribed,
+    actionCreator: socketSubscribedSession,
     effect: (action, { dispatch }) => {
       const log = logger('socketio');
       log.debug(action.payload, 'Subscribed');
-      dispatch(appSocketSubscribed(action.payload));
+      dispatch(appSocketSubscribedSession(action.payload));
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts
index a8076ee1b7..2f4f65edc6 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts
@@ -1,17 +1,17 @@
 import { logger } from 'app/logging/logger';
 import {
-  appSocketUnsubscribed,
-  socketUnsubscribed,
+  appSocketUnsubscribedSession,
+  socketUnsubscribedSession,
 } from 'services/events/actions';
 import { startAppListening } from '../..';
 
 export const addSocketUnsubscribedEventListener = () => {
   startAppListening({
-    actionCreator: socketUnsubscribed,
+    actionCreator: socketUnsubscribedSession,
     effect: (action, { dispatch }) => {
       const log = logger('socketio');
       log.debug(action.payload, 'Unsubscribed');
-      dispatch(appSocketUnsubscribed(action.payload));
+      dispatch(appSocketUnsubscribedSession(action.payload));
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts
index 75980a65e4..61ecc61a03 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts
@@ -1,7 +1,10 @@
 import { createAction } from '@reduxjs/toolkit';
+import { logger } from 'app/logging/logger';
+import { parseify } from 'common/util/serialize';
 import { buildAdHocUpscaleGraph } from 'features/nodes/util/graphBuilders/buildAdHocUpscaleGraph';
-import { sessionReadyToInvoke } from 'features/system/store/actions';
-import { sessionCreated } from 'services/api/thunks/session';
+import { addToast } from 'features/system/store/systemSlice';
+import { t } from 'i18next';
+import { queueApi } from 'services/api/endpoints/queue';
 import { startAppListening } from '..';
 
 export const upscaleRequested = createAction<{ image_name: string }>(
@@ -11,7 +14,9 @@ export const upscaleRequested = createAction<{ image_name: string }>(
 export const addUpscaleRequestedListener = () => {
   startAppListening({
     actionCreator: upscaleRequested,
-    effect: async (action, { dispatch, getState, take }) => {
+    effect: async (action, { dispatch, getState }) => {
+      const log = logger('session');
+
       const { image_name } = action.payload;
       const { esrganModelName } = getState().postprocessing;
 
@@ -20,12 +25,31 @@ export const addUpscaleRequestedListener = () => {
         esrganModelName,
       });
 
-      // Create a session to run the graph & wait til it's ready to invoke
-      dispatch(sessionCreated({ graph }));
+      try {
+        const req = dispatch(
+          queueApi.endpoints.enqueueGraph.initiate(
+            { graph, prepend: true },
+            {
+              fixedCacheKey: 'enqueueGraph',
+            }
+          )
+        );
 
-      await take(sessionCreated.fulfilled.match);
-
-      dispatch(sessionReadyToInvoke());
+        const enqueueResult = await req.unwrap();
+        req.reset();
+        log.debug(
+          { enqueueResult: parseify(enqueueResult) },
+          t('queue.graphQueued')
+        );
+      } catch {
+        log.error({ graph: parseify(graph) }, t('queue.graphFailedToQueue'));
+        dispatch(
+          addToast({
+            title: t('queue.graphFailedToQueue'),
+            status: 'error',
+          })
+        );
+      }
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts
deleted file mode 100644
index b0172e693b..0000000000
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts
+++ /dev/null
@@ -1,38 +0,0 @@
-import { logger } from 'app/logging/logger';
-import { userInvoked } from 'app/store/actions';
-import { parseify } from 'common/util/serialize';
-import { imageToImageGraphBuilt } from 'features/nodes/store/actions';
-import { buildLinearImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearImageToImageGraph';
-import { buildLinearSDXLImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph';
-import { sessionReadyToInvoke } from 'features/system/store/actions';
-import { sessionCreated } from 'services/api/thunks/session';
-import { startAppListening } from '..';
-
-export const addUserInvokedImageToImageListener = () => {
-  startAppListening({
-    predicate: (action): action is ReturnType<typeof userInvoked> =>
-      userInvoked.match(action) && action.payload === 'img2img',
-    effect: async (action, { getState, dispatch, take }) => {
-      const log = logger('session');
-      const state = getState();
-      const model = state.generation.model;
-
-      let graph;
-
-      if (model && model.base_model === 'sdxl') {
-        graph = buildLinearSDXLImageToImageGraph(state);
-      } else {
-        graph = buildLinearImageToImageGraph(state);
-      }
-
-      dispatch(imageToImageGraphBuilt(graph));
-      log.debug({ graph: parseify(graph) }, 'Image to Image graph built');
-
-      dispatch(sessionCreated({ graph }));
-
-      await take(sessionCreated.fulfilled.match);
-
-      dispatch(sessionReadyToInvoke());
-    },
-  });
-};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts
deleted file mode 100644
index 5894bba5df..0000000000
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts
+++ /dev/null
@@ -1,29 +0,0 @@
-import { logger } from 'app/logging/logger';
-import { userInvoked } from 'app/store/actions';
-import { parseify } from 'common/util/serialize';
-import { nodesGraphBuilt } from 'features/nodes/store/actions';
-import { buildNodesGraph } from 'features/nodes/util/graphBuilders/buildNodesGraph';
-import { sessionReadyToInvoke } from 'features/system/store/actions';
-import { sessionCreated } from 'services/api/thunks/session';
-import { startAppListening } from '..';
-
-export const addUserInvokedNodesListener = () => {
-  startAppListening({
-    predicate: (action): action is ReturnType<typeof userInvoked> =>
-      userInvoked.match(action) && action.payload === 'nodes',
-    effect: async (action, { getState, dispatch, take }) => {
-      const log = logger('session');
-      const state = getState();
-
-      const graph = buildNodesGraph(state.nodes);
-      dispatch(nodesGraphBuilt(graph));
-      log.debug({ graph: parseify(graph) }, 'Nodes graph built');
-
-      dispatch(sessionCreated({ graph }));
-
-      await take(sessionCreated.fulfilled.match);
-
-      dispatch(sessionReadyToInvoke());
-    },
-  });
-};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts
deleted file mode 100644
index f1cdabcabd..0000000000
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts
+++ /dev/null
@@ -1,39 +0,0 @@
-import { logger } from 'app/logging/logger';
-import { userInvoked } from 'app/store/actions';
-import { parseify } from 'common/util/serialize';
-import { textToImageGraphBuilt } from 'features/nodes/store/actions';
-import { buildLinearSDXLTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph';
-import { buildLinearTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearTextToImageGraph';
-import { sessionReadyToInvoke } from 'features/system/store/actions';
-import { sessionCreated } from 'services/api/thunks/session';
-import { startAppListening } from '..';
-
-export const addUserInvokedTextToImageListener = () => {
-  startAppListening({
-    predicate: (action): action is ReturnType<typeof userInvoked> =>
-      userInvoked.match(action) && action.payload === 'txt2img',
-    effect: async (action, { getState, dispatch, take }) => {
-      const log = logger('session');
-      const state = getState();
-      const model = state.generation.model;
-
-      let graph;
-
-      if (model && model.base_model === 'sdxl') {
-        graph = buildLinearSDXLTextToImageGraph(state);
-      } else {
-        graph = buildLinearTextToImageGraph(state);
-      }
-
-      dispatch(textToImageGraphBuilt(graph));
-
-      log.debug({ graph: parseify(graph) }, 'Text to Image graph built');
-
-      dispatch(sessionCreated({ graph }));
-
-      await take(sessionCreated.fulfilled.match);
-
-      dispatch(sessionReadyToInvoke());
-    },
-  });
-};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/util/enqueueBatch.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/util/enqueueBatch.ts
new file mode 100644
index 0000000000..1d5a1232c8
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/util/enqueueBatch.ts
@@ -0,0 +1,54 @@
+import { logger } from 'app/logging/logger';
+import { AppThunkDispatch } from 'app/store/store';
+import { parseify } from 'common/util/serialize';
+import { addToast } from 'features/system/store/systemSlice';
+import { t } from 'i18next';
+import { queueApi } from 'services/api/endpoints/queue';
+import { BatchConfig } from 'services/api/types';
+
+export const enqueueBatch = async (
+  batchConfig: BatchConfig,
+  dispatch: AppThunkDispatch
+) => {
+  const log = logger('session');
+  const { prepend } = batchConfig;
+
+  try {
+    const req = dispatch(
+      queueApi.endpoints.enqueueBatch.initiate(batchConfig, {
+        fixedCacheKey: 'enqueueBatch',
+      })
+    );
+    const enqueueResult = await req.unwrap();
+    req.reset();
+
+    dispatch(
+      queueApi.endpoints.resumeProcessor.initiate(undefined, {
+        fixedCacheKey: 'resumeProcessor',
+      })
+    );
+
+    log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued');
+    dispatch(
+      addToast({
+        title: t('queue.batchQueued'),
+        description: t('queue.batchQueuedDesc', {
+          item_count: enqueueResult.enqueued,
+          direction: prepend ? t('queue.front') : t('queue.back'),
+        }),
+        status: 'success',
+      })
+    );
+  } catch {
+    log.error(
+      { batchConfig: parseify(batchConfig) },
+      t('queue.batchFailedToQueue')
+    );
+    dispatch(
+      addToast({
+        title: t('queue.batchFailedToQueue'),
+        status: 'error',
+      })
+    );
+  }
+};
diff --git a/invokeai/frontend/web/src/app/store/nanostores/store.ts b/invokeai/frontend/web/src/app/store/nanostores/store.ts
new file mode 100644
index 0000000000..c9f041fa5d
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/nanostores/store.ts
@@ -0,0 +1,5 @@
+import { Store } from '@reduxjs/toolkit';
+import { atom } from 'nanostores';
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+export const $store = atom<Store<any> | undefined>();
diff --git a/invokeai/frontend/web/src/app/store/store.ts b/invokeai/frontend/web/src/app/store/store.ts
index d45ae35cdb..b9bbe4f06b 100644
--- a/invokeai/frontend/web/src/app/store/store.ts
+++ b/invokeai/frontend/web/src/app/store/store.ts
@@ -18,6 +18,7 @@ import postprocessingReducer from 'features/parameters/store/postprocessingSlice
 import sdxlReducer from 'features/sdxl/store/sdxlSlice';
 import configReducer from 'features/system/store/configSlice';
 import systemReducer from 'features/system/store/systemSlice';
+import queueReducer from 'features/queue/store/queueSlice';
 import modelmanagerReducer from 'features/ui/components/tabs/ModelManager/store/modelManagerSlice';
 import hotkeysReducer from 'features/ui/store/hotkeysSlice';
 import uiReducer from 'features/ui/store/uiSlice';
@@ -31,6 +32,7 @@ import { actionSanitizer } from './middleware/devtools/actionSanitizer';
 import { actionsDenylist } from './middleware/devtools/actionsDenylist';
 import { stateSanitizer } from './middleware/devtools/stateSanitizer';
 import { listenerMiddleware } from './middleware/listenerMiddleware';
+import { $store } from './nanostores/store';
 
 const allReducers = {
   canvas: canvasReducer,
@@ -49,6 +51,7 @@ const allReducers = {
   lora: loraReducer,
   modelmanager: modelmanagerReducer,
   sdxl: sdxlReducer,
+  queue: queueReducer,
   [api.reducerPath]: api.reducer,
 };
 
@@ -124,3 +127,4 @@ export type RootState = ReturnType<typeof store.getState>;
 export type AppThunkDispatch = ThunkDispatch<RootState, any, AnyAction>;
 export type AppDispatch = typeof store.dispatch;
 export const stateSelector = (state: RootState) => state;
+$store.set(store);
diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts
index a02c16cf7a..ca2e80535c 100644
--- a/invokeai/frontend/web/src/app/types/invokeai.ts
+++ b/invokeai/frontend/web/src/app/types/invokeai.ts
@@ -18,7 +18,10 @@ export type AppFeature =
   | 'dynamicPrompting'
   | 'batches'
   | 'syncModels'
-  | 'multiselect';
+  | 'multiselect'
+  | 'pauseQueue'
+  | 'resumeQueue'
+  | 'prependQueue';
 
 /**
  * A disable-able Stable Diffusion feature
diff --git a/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx b/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx
index a150e4ed0c..ca61ea847f 100644
--- a/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx
@@ -1,7 +1,7 @@
 import {
   As,
-  ChakraProps,
   Flex,
+  FlexProps,
   Icon,
   Skeleton,
   Spinner,
@@ -47,15 +47,14 @@ export const IAILoadingImageFallback = (props: Props) => {
   );
 };
 
-type IAINoImageFallbackProps = {
+type IAINoImageFallbackProps = FlexProps & {
   label?: string;
   icon?: As | null;
   boxSize?: StyleProps['boxSize'];
-  sx?: ChakraProps['sx'];
 };
 
 export const IAINoContentFallback = (props: IAINoImageFallbackProps) => {
-  const { icon = FaImage, boxSize = 16 } = props;
+  const { icon = FaImage, boxSize = 16, sx, ...rest } = props;
 
   return (
     <Flex
@@ -73,8 +72,9 @@ export const IAINoContentFallback = (props: IAINoImageFallbackProps) => {
         _dark: {
           color: 'base.500',
         },
-        ...props.sx,
+        ...sx,
       }}
+      {...rest}
     >
       {icon && <Icon as={icon} boxSize={boxSize} opacity={0.7} />}
       {props.label && <Text textAlign="center">{props.label}</Text>}
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSelectItemWithDescription.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSelectItemWithDescription.tsx
new file mode 100644
index 0000000000..a61268c99e
--- /dev/null
+++ b/invokeai/frontend/web/src/common/components/IAIMantineSelectItemWithDescription.tsx
@@ -0,0 +1,29 @@
+import { Box, Text } from '@chakra-ui/react';
+import { forwardRef, memo } from 'react';
+
+interface ItemProps extends React.ComponentPropsWithoutRef<'div'> {
+  label: string;
+  value: string;
+  description?: string;
+}
+
+const IAIMantineSelectItemWithDescription = forwardRef<
+  HTMLDivElement,
+  ItemProps
+>(({ label, description, ...rest }: ItemProps, ref) => (
+  <Box ref={ref} {...rest}>
+    <Box>
+      <Text fontWeight={600}>{label}</Text>
+      {description && (
+        <Text size="xs" variant="subtext">
+          {description}
+        </Text>
+      )}
+    </Box>
+  </Box>
+));
+
+IAIMantineSelectItemWithDescription.displayName =
+  'IAIMantineSelectItemWithDescription';
+
+export default memo(IAIMantineSelectItemWithDescription);
diff --git a/invokeai/frontend/web/src/common/components/ImageUploader.tsx b/invokeai/frontend/web/src/common/components/ImageUploader.tsx
index bb341a63f6..59349e615d 100644
--- a/invokeai/frontend/web/src/common/components/ImageUploader.tsx
+++ b/invokeai/frontend/web/src/common/components/ImageUploader.tsx
@@ -4,7 +4,6 @@ import { useAppToaster } from 'app/components/Toaster';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { AnimatePresence, motion } from 'framer-motion';
 import {
@@ -51,7 +50,6 @@ type ImageUploaderProps = {
 const ImageUploader = (props: ImageUploaderProps) => {
   const { children } = props;
   const { autoAddBoardId, postUploadAction } = useAppSelector(selector);
-  const isBusy = useAppSelector(selectIsBusy);
   const toaster = useAppToaster();
   const { t } = useTranslation();
   const [isHandlingUpload, setIsHandlingUpload] = useState<boolean>(false);
@@ -106,6 +104,10 @@ const ImageUploader = (props: ImageUploaderProps) => {
     [t, toaster, fileAcceptedCallback, fileRejectionCallback]
   );
 
+  const onDragOver = useCallback(() => {
+    setIsHandlingUpload(true);
+  }, []);
+
   const {
     getRootProps,
     getInputProps,
@@ -117,8 +119,7 @@ const ImageUploader = (props: ImageUploaderProps) => {
     accept: { 'image/png': ['.png'], 'image/jpeg': ['.jpg', '.jpeg', '.png'] },
     noClick: true,
     onDrop,
-    onDragOver: () => setIsHandlingUpload(true),
-    disabled: isBusy,
+    onDragOver,
     multiple: false,
   });
 
diff --git a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts b/invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts
similarity index 84%
rename from invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
rename to invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts
index dd21afe459..77afeb4161 100644
--- a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
+++ b/invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts
@@ -4,25 +4,22 @@ import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { isInvocationNode } from 'features/nodes/types/types';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+import i18n from 'i18next';
 import { forEach, map } from 'lodash-es';
 import { getConnectedEdges } from 'reactflow';
-import i18n from 'i18next';
 
 const selector = createSelector(
   [stateSelector, activeTabNameSelector],
-  (state, activeTabName) => {
-    const { generation, system, nodes } = state;
+  (
+    { controlNet, generation, system, nodes, dynamicPrompts },
+    activeTabName
+  ) => {
     const { initialImage, model } = generation;
 
-    const { isProcessing, isConnected } = system;
+    const { isConnected } = system;
 
     const reasons: string[] = [];
 
-    // Cannot generate if already processing an image
-    if (isProcessing) {
-      reasons.push(i18n.t('parameters.invoke.systemBusy'));
-    }
-
     // Cannot generate if not connected
     if (!isConnected) {
       reasons.push(i18n.t('parameters.invoke.systemDisconnected'));
@@ -82,12 +79,16 @@ const selector = createSelector(
         });
       }
     } else {
+      if (dynamicPrompts.prompts.length === 0) {
+        reasons.push(i18n.t('parameters.invoke.noPrompts'));
+      }
+
       if (!model) {
         reasons.push(i18n.t('parameters.invoke.noModelSelected'));
       }
 
-      if (state.controlNet.isEnabled) {
-        map(state.controlNet.controlNets).forEach((controlNet, i) => {
+      if (controlNet.isEnabled) {
+        map(controlNet.controlNets).forEach((controlNet, i) => {
           if (!controlNet.isEnabled) {
             return;
           }
@@ -112,12 +113,12 @@ const selector = createSelector(
       }
     }
 
-    return { isReady: !reasons.length, isProcessing, reasons };
+    return { isReady: !reasons.length, reasons };
   },
   defaultSelectorOptions
 );
 
-export const useIsReadyToInvoke = () => {
-  const { isReady, isProcessing, reasons } = useAppSelector(selector);
-  return { isReady, isProcessing, reasons };
+export const useIsReadyToEnqueue = () => {
+  const { isReady, reasons } = useAppSelector(selector);
+  return { isReady, reasons };
 };
diff --git a/invokeai/frontend/web/src/common/util/generateSeeds.ts b/invokeai/frontend/web/src/common/util/generateSeeds.ts
new file mode 100644
index 0000000000..ae74f80810
--- /dev/null
+++ b/invokeai/frontend/web/src/common/util/generateSeeds.ts
@@ -0,0 +1,28 @@
+import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from 'app/constants';
+import { random } from 'lodash-es';
+
+export type GenerateSeedsArg = {
+  count: number;
+  start?: number;
+  min?: number;
+  max?: number;
+};
+
+export const generateSeeds = ({
+  count,
+  start,
+  min = NUMPY_RAND_MIN,
+  max = NUMPY_RAND_MAX,
+}: GenerateSeedsArg) => {
+  const first = start ?? random(min, max);
+  const seeds: number[] = [];
+  for (let i = first; i < first + count; i++) {
+    seeds.push(i % max);
+  }
+  return seeds;
+};
+
+export const generateOneSeed = (
+  min: number = NUMPY_RAND_MIN,
+  max: number = NUMPY_RAND_MAX
+) => random(min, max);
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx
index 4a67898942..e2f20f99a2 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx
@@ -153,8 +153,8 @@ const IAICanvas = () => {
     });
 
     resizeObserver.observe(containerRef.current);
-
-    dispatch(canvasResized(containerRef.current.getBoundingClientRect()));
+    const { width, height } = containerRef.current.getBoundingClientRect();
+    dispatch(canvasResized({ width, height }));
 
     return () => {
       resizeObserver.disconnect();
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx
index b636ef9528..4a29e12859 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx
@@ -1,23 +1,24 @@
 import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import { systemSelector } from 'features/system/store/systemSelectors';
 import { ImageConfig } from 'konva/lib/shapes/Image';
 import { isEqual } from 'lodash-es';
-
 import { memo, useEffect, useState } from 'react';
 import { Image as KonvaImage } from 'react-konva';
-import { canvasSelector } from '../store/canvasSelectors';
 
 const selector = createSelector(
-  [systemSelector, canvasSelector],
-  (system, canvas) => {
-    const { progressImage, sessionId } = system;
-    const { sessionId: canvasSessionId, boundingBox } =
-      canvas.layerState.stagingArea;
+  [stateSelector],
+  ({ system, canvas }) => {
+    const { denoiseProgress } = system;
+    const { boundingBox } = canvas.layerState.stagingArea;
+    const { sessionIds } = canvas;
 
     return {
       boundingBox,
-      progressImage: sessionId === canvasSessionId ? progressImage : undefined,
+      progressImage:
+        denoiseProgress && sessionIds.includes(denoiseProgress.session_id)
+          ? denoiseProgress.progress_image
+          : undefined,
     };
   },
   {
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx
index cc15141d38..3e617f8767 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx
@@ -11,8 +11,9 @@ import {
   setShouldShowStagingImage,
   setShouldShowStagingOutline,
 } from 'features/canvas/store/canvasSlice';
-import { isEqual } from 'lodash-es';
 
+import { skipToken } from '@reduxjs/toolkit/dist/query';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { memo, useCallback } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
@@ -25,16 +26,15 @@ import {
   FaPlus,
   FaSave,
 } from 'react-icons/fa';
-import { stagingAreaImageSaved } from '../store/actions';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
-import { skipToken } from '@reduxjs/toolkit/dist/query';
+import { stagingAreaImageSaved } from '../store/actions';
 
 const selector = createSelector(
   [canvasSelector],
   (canvas) => {
     const {
       layerState: {
-        stagingArea: { images, selectedImageIndex, sessionId },
+        stagingArea: { images, selectedImageIndex },
       },
       shouldShowStagingOutline,
       shouldShowStagingImage,
@@ -47,14 +47,9 @@ const selector = createSelector(
       isOnLastImage: selectedImageIndex === images.length - 1,
       shouldShowStagingImage,
       shouldShowStagingOutline,
-      sessionId,
     };
   },
-  {
-    memoizeOptions: {
-      resultEqualityCheck: isEqual,
-    },
-  }
+  defaultSelectorOptions
 );
 
 const IAICanvasStagingAreaToolbar = () => {
@@ -64,7 +59,6 @@ const IAICanvasStagingAreaToolbar = () => {
     isOnLastImage,
     currentStagingAreaImage,
     shouldShowStagingImage,
-    sessionId,
   } = useAppSelector(selector);
 
   const { t } = useTranslation();
@@ -121,8 +115,8 @@ const IAICanvasStagingAreaToolbar = () => {
   );
 
   const handleAccept = useCallback(
-    () => dispatch(commitStagingAreaImage(sessionId)),
-    [dispatch, sessionId]
+    () => dispatch(commitStagingAreaImage()),
+    [dispatch]
   );
 
   const { data: imageDTO } = useGetImageDTOQuery(
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx
index 72f4a19479..18ded1c9c7 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx
@@ -1,24 +1,23 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
-import { canvasSelector } from 'features/canvas/store/canvasSelectors';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { FaRedo } from 'react-icons/fa';
 
 import { redo } from 'features/canvas/store/canvasSlice';
-import { systemSelector } from 'features/system/store/systemSelectors';
 
+import { stateSelector } from 'app/store/store';
 import { isEqual } from 'lodash-es';
 import { useTranslation } from 'react-i18next';
 
 const canvasRedoSelector = createSelector(
-  [canvasSelector, activeTabNameSelector, systemSelector],
-  (canvas, activeTabName, system) => {
+  [stateSelector, activeTabNameSelector],
+  ({ canvas }, activeTabName) => {
     const { futureLayerStates } = canvas;
 
     return {
-      canRedo: futureLayerStates.length > 0 && !system.isProcessing,
+      canRedo: futureLayerStates.length > 0,
       activeTabName,
     };
   },
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx
index 10e01ccac4..6a7db0e5f2 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx
@@ -1,14 +1,12 @@
 import { ButtonGroup, Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIColorPicker from 'common/components/IAIColorPicker';
 import IAIIconButton from 'common/components/IAIIconButton';
 import IAIPopover from 'common/components/IAIPopover';
 import IAISlider from 'common/components/IAISlider';
-import {
-  canvasSelector,
-  isStagingSelector,
-} from 'features/canvas/store/canvasSelectors';
+import { isStagingSelector } from 'features/canvas/store/canvasSelectors';
 import {
   addEraseRect,
   addFillRect,
@@ -16,7 +14,6 @@ import {
   setBrushSize,
   setTool,
 } from 'features/canvas/store/canvasSlice';
-import { systemSelector } from 'features/system/store/systemSelectors';
 import { clamp, isEqual } from 'lodash-es';
 import { memo } from 'react';
 
@@ -32,15 +29,13 @@ import {
 } from 'react-icons/fa';
 
 export const selector = createSelector(
-  [canvasSelector, isStagingSelector, systemSelector],
-  (canvas, isStaging, system) => {
-    const { isProcessing } = system;
+  [stateSelector, isStagingSelector],
+  ({ canvas }, isStaging) => {
     const { tool, brushColor, brushSize } = canvas;
 
     return {
       tool,
       isStaging,
-      isProcessing,
       brushColor,
       brushSize,
     };
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx
index 49ce63d25f..617fedf0f0 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx
@@ -1,5 +1,6 @@
 import { Box, ButtonGroup, Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
@@ -11,10 +12,7 @@ import {
   canvasMerged,
   canvasSavedToGallery,
 } from 'features/canvas/store/actions';
-import {
-  canvasSelector,
-  isStagingSelector,
-} from 'features/canvas/store/canvasSelectors';
+import { isStagingSelector } from 'features/canvas/store/canvasSelectors';
 import {
   resetCanvas,
   resetCanvasView,
@@ -27,9 +25,9 @@ import {
   LAYER_NAMES_DICT,
 } from 'features/canvas/store/canvasTypes';
 import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider';
-import { systemSelector } from 'features/system/store/systemSelectors';
 import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard';
 import { isEqual } from 'lodash-es';
+import { memo } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import {
@@ -47,17 +45,14 @@ import IAICanvasRedoButton from './IAICanvasRedoButton';
 import IAICanvasSettingsButtonPopover from './IAICanvasSettingsButtonPopover';
 import IAICanvasToolChooserOptions from './IAICanvasToolChooserOptions';
 import IAICanvasUndoButton from './IAICanvasUndoButton';
-import { memo } from 'react';
 
 export const selector = createSelector(
-  [systemSelector, canvasSelector, isStagingSelector],
-  (system, canvas, isStaging) => {
-    const { isProcessing } = system;
+  [stateSelector, isStagingSelector],
+  ({ canvas }, isStaging) => {
     const { tool, shouldCropToBoundingBoxOnSave, layer, isMaskEnabled } =
       canvas;
 
     return {
-      isProcessing,
       isStaging,
       isMaskEnabled,
       tool,
@@ -74,8 +69,7 @@ export const selector = createSelector(
 
 const IAICanvasToolbar = () => {
   const dispatch = useAppDispatch();
-  const { isProcessing, isStaging, isMaskEnabled, layer, tool } =
-    useAppSelector(selector);
+  const { isStaging, isMaskEnabled, layer, tool } = useAppSelector(selector);
   const canvasBaseLayer = getCanvasBaseLayer();
 
   const { t } = useTranslation();
@@ -118,7 +112,7 @@ const IAICanvasToolbar = () => {
       enabled: () => !isStaging,
       preventDefault: true,
     },
-    [canvasBaseLayer, isProcessing]
+    [canvasBaseLayer]
   );
 
   useHotkeys(
@@ -130,7 +124,7 @@ const IAICanvasToolbar = () => {
       enabled: () => !isStaging,
       preventDefault: true,
     },
-    [canvasBaseLayer, isProcessing]
+    [canvasBaseLayer]
   );
 
   useHotkeys(
@@ -142,7 +136,7 @@ const IAICanvasToolbar = () => {
       enabled: () => !isStaging && isClipboardAPIAvailable,
       preventDefault: true,
     },
-    [canvasBaseLayer, isProcessing, isClipboardAPIAvailable]
+    [canvasBaseLayer, isClipboardAPIAvailable]
   );
 
   useHotkeys(
@@ -154,7 +148,7 @@ const IAICanvasToolbar = () => {
       enabled: () => !isStaging,
       preventDefault: true,
     },
-    [canvasBaseLayer, isProcessing]
+    [canvasBaseLayer]
   );
 
   const handleSelectMoveTool = () => dispatch(setTool('move'));
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx
index 9feb2dfcb5..126470a9e8 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx
@@ -1,24 +1,23 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
-import { canvasSelector } from 'features/canvas/store/canvasSelectors';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { FaUndo } from 'react-icons/fa';
 
 import { undo } from 'features/canvas/store/canvasSlice';
-import { systemSelector } from 'features/system/store/systemSelectors';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 
 import { isEqual } from 'lodash-es';
 import { useTranslation } from 'react-i18next';
+import { stateSelector } from 'app/store/store';
 
 const canvasUndoSelector = createSelector(
-  [canvasSelector, activeTabNameSelector, systemSelector],
-  (canvas, activeTabName, system) => {
+  [stateSelector, activeTabNameSelector],
+  ({ canvas }, activeTabName) => {
     const { pastLayerStates } = canvas;
 
     return {
-      canUndo: pastLayerStates.length > 0 && !system.isProcessing,
+      canUndo: pastLayerStates.length > 0,
       activeTabName,
     };
   },
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts
index dbcdde00d5..46bf7db3d0 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts
@@ -1,16 +1,12 @@
 import { createSelector } from '@reduxjs/toolkit';
-import { RootState } from 'app/store/store';
-import { systemSelector } from 'features/system/store/systemSelectors';
-import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+import { RootState, stateSelector } from 'app/store/store';
 import { CanvasImage, CanvasState, isCanvasBaseImage } from './canvasTypes';
 
 export const canvasSelector = (state: RootState): CanvasState => state.canvas;
 
 export const isStagingSelector = createSelector(
-  [canvasSelector, activeTabNameSelector, systemSelector],
-  (canvas, activeTabName, system) =>
-    canvas.layerState.stagingArea.images.length > 0 ||
-    (activeTabName === 'unifiedCanvas' && system.isProcessing)
+  [stateSelector],
+  ({ canvas }) => canvas.layerState.stagingArea.images.length > 0
 );
 
 export const initialCanvasImageSelector = (
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
index fb908fa601..66b87a84e4 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
@@ -85,6 +85,8 @@ export const initialCanvasState: CanvasState = {
   stageDimensions: { width: 0, height: 0 },
   stageScale: 1,
   tool: 'brush',
+  sessionIds: [],
+  batchIds: [],
 };
 
 export const canvasSlice = createSlice({
@@ -297,18 +299,26 @@ export const canvasSlice = createSlice({
     setIsMoveStageKeyHeld: (state, action: PayloadAction<boolean>) => {
       state.isMoveStageKeyHeld = action.payload;
     },
-    canvasSessionIdChanged: (state, action: PayloadAction<string>) => {
-      state.layerState.stagingArea.sessionId = action.payload;
+    canvasBatchIdAdded: (state, action: PayloadAction<string>) => {
+      state.batchIds.push(action.payload);
+    },
+    canvasSessionIdAdded: (state, action: PayloadAction<string>) => {
+      state.sessionIds.push(action.payload);
+    },
+    canvasBatchesAndSessionsReset: (state) => {
+      state.sessionIds = [];
+      state.batchIds = [];
     },
     stagingAreaInitialized: (
       state,
-      action: PayloadAction<{ sessionId: string; boundingBox: IRect }>
+      action: PayloadAction<{
+        boundingBox: IRect;
+      }>
     ) => {
-      const { sessionId, boundingBox } = action.payload;
+      const { boundingBox } = action.payload;
 
       state.layerState.stagingArea = {
         boundingBox,
-        sessionId,
         images: [],
         selectedImageIndex: -1,
       };
@@ -632,10 +642,7 @@ export const canvasSlice = createSlice({
         0
       );
     },
-    commitStagingAreaImage: (
-      state,
-      _action: PayloadAction<string | undefined>
-    ) => {
+    commitStagingAreaImage: (state) => {
       if (!state.layerState.stagingArea.images.length) {
         return;
       }
@@ -869,9 +876,11 @@ export const {
   setScaledBoundingBoxDimensions,
   setShouldRestrictStrokesToBox,
   stagingAreaInitialized,
-  canvasSessionIdChanged,
   setShouldAntialias,
   canvasResized,
+  canvasBatchIdAdded,
+  canvasSessionIdAdded,
+  canvasBatchesAndSessionsReset,
 } = canvasSlice.actions;
 
 export default canvasSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
index 1b4eca329d..233d38dc80 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
@@ -89,7 +89,6 @@ export type CanvasLayerState = {
   stagingArea: {
     images: CanvasImage[];
     selectedImageIndex: number;
-    sessionId?: string;
     boundingBox?: IRect;
   };
 };
@@ -166,6 +165,8 @@ export interface CanvasState {
   stageScale: number;
   tool: CanvasTool;
   generationMode?: GenerationMode;
+  batchIds: string[];
+  sessionIds: string[];
 }
 
 export type GenerationMode = 'txt2img' | 'img2img' | 'inpaint' | 'outpaint';
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx
index 95a4f968e5..7a9d2f8b10 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx
@@ -3,7 +3,7 @@ import { memo, useCallback } from 'react';
 import { ControlNetConfig } from '../store/controlNetSlice';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { controlNetImageProcessed } from '../store/actions';
-import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
+import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue';
 
 type Props = {
   controlNet: ControlNetConfig;
@@ -12,7 +12,7 @@ type Props = {
 const ControlNetPreprocessButton = (props: Props) => {
   const { controlNetId, controlImage } = props.controlNet;
   const dispatch = useAppDispatch();
-  const isReady = useIsReadyToInvoke();
+  const isReady = useIsReadyToEnqueue();
 
   const handleProcess = useCallback(() => {
     dispatch(
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx b/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx
index 76f1cb9dfe..2f44051fea 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx
@@ -1,10 +1,9 @@
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch } from 'app/store/storeHooks';
 import IAISwitch from 'common/components/IAISwitch';
 import {
   ControlNetConfig,
   controlNetAutoConfigToggled,
 } from 'features/controlNet/store/controlNetSlice';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
@@ -15,7 +14,6 @@ type Props = {
 const ParamControlNetShouldAutoConfig = (props: Props) => {
   const { controlNetId, isEnabled, shouldAutoConfig } = props.controlNet;
   const dispatch = useAppDispatch();
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
 
   const handleShouldAutoConfigChanged = useCallback(() => {
@@ -28,7 +26,7 @@ const ParamControlNetShouldAutoConfig = (props: Props) => {
       aria-label={t('controlnet.autoConfigure')}
       isChecked={shouldAutoConfig}
       onChange={handleShouldAutoConfigChanged}
-      isDisabled={isBusy || !isEnabled}
+      isDisabled={!isEnabled}
     />
   );
 };
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx
index 180810c99f..5ed82ac501 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx
@@ -11,11 +11,10 @@ import {
 } from 'features/controlNet/store/controlNetSlice';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToControlNetModelParam } from 'features/parameters/util/modelIdToControlNetModelParam';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
-import { useGetControlNetModelsQuery } from 'services/api/endpoints/models';
 import { useTranslation } from 'react-i18next';
+import { useGetControlNetModelsQuery } from 'services/api/endpoints/models';
 
 type ParamControlNetModelProps = {
   controlNet: ControlNetConfig;
@@ -33,7 +32,6 @@ const selector = createSelector(
 const ParamControlNetModel = (props: ParamControlNetModelProps) => {
   const { controlNetId, model: controlNetModel, isEnabled } = props.controlNet;
   const dispatch = useAppDispatch();
-  const isBusy = useAppSelector(selectIsBusy);
 
   const { mainModel } = useAppSelector(selector);
   const { t } = useTranslation();
@@ -110,7 +108,7 @@ const ParamControlNetModel = (props: ParamControlNetModelProps) => {
       placeholder={t('controlnet.selectModel')}
       value={selectedModel?.id ?? null}
       onChange={handleModelChanged}
-      disabled={isBusy || !isEnabled}
+      disabled={!isEnabled}
       tooltip={selectedModel?.description}
     />
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx
index a357547403..9ab2422fa8 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx
@@ -6,7 +6,6 @@ import IAIMantineSearchableSelect, {
   IAISelectDataType,
 } from 'common/components/IAIMantineSearchableSelect';
 import { configSelector } from 'features/system/store/configSelectors';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { map } from 'lodash-es';
 import { memo, useCallback } from 'react';
 import { CONTROLNET_PROCESSORS } from '../../store/constants';
@@ -56,7 +55,6 @@ const ParamControlNetProcessorSelect = (
 ) => {
   const dispatch = useAppDispatch();
   const { controlNetId, isEnabled, processorNode } = props.controlNet;
-  const isBusy = useAppSelector(selectIsBusy);
   const controlNetProcessors = useAppSelector(selector);
   const { t } = useTranslation();
 
@@ -78,7 +76,7 @@ const ParamControlNetProcessorSelect = (
       value={processorNode.type ?? 'canny_image_processor'}
       data={controlNetProcessors}
       onChange={handleProcessorTypeChanged}
-      disabled={isBusy || !isEnabled}
+      disabled={!isEnabled}
     />
   );
 };
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx
index 83539e07da..f4813c0957 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx
@@ -1,12 +1,10 @@
-import { useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredCannyImageProcessorInvocation } from 'features/controlNet/store/types';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.canny_image_processor
   .default as RequiredCannyImageProcessorInvocation;
@@ -20,7 +18,6 @@ type CannyProcessorProps = {
 const CannyProcessor = (props: CannyProcessorProps) => {
   const { controlNetId, processorNode, isEnabled } = props;
   const { low_threshold, high_threshold } = processorNode;
-  const isBusy = useAppSelector(selectIsBusy);
   const processorChanged = useProcessorNodeChanged();
   const { t } = useTranslation();
 
@@ -53,7 +50,7 @@ const CannyProcessor = (props: CannyProcessorProps) => {
   return (
     <ProcessorWrapper>
       <IAISlider
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
         label={t('controlnet.lowThreshold')}
         value={low_threshold}
         onChange={handleLowThresholdChanged}
@@ -65,7 +62,7 @@ const CannyProcessor = (props: CannyProcessorProps) => {
         withSliderMarks
       />
       <IAISlider
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
         label={t('controlnet.highThreshold')}
         value={high_threshold}
         onChange={handleHighThresholdChanged}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx
index 74b1fe33a1..efc943e800 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/ContentShuffleProcessor.tsx
@@ -2,11 +2,9 @@ import IAISlider from 'common/components/IAISlider';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredContentShuffleImageProcessorInvocation } from 'features/controlNet/store/types';
 import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useAppSelector } from 'app/store/storeHooks';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.content_shuffle_image_processor
   .default as RequiredContentShuffleImageProcessorInvocation;
@@ -21,7 +19,6 @@ const ContentShuffleProcessor = (props: Props) => {
   const { controlNetId, processorNode, isEnabled } = props;
   const { image_resolution, detect_resolution, w, h, f } = processorNode;
   const processorChanged = useProcessorNodeChanged();
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
@@ -101,7 +98,7 @@ const ContentShuffleProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.imageResolution')}
@@ -113,7 +110,7 @@ const ContentShuffleProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.w')}
@@ -125,7 +122,7 @@ const ContentShuffleProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.h')}
@@ -137,7 +134,7 @@ const ContentShuffleProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.f')}
@@ -149,7 +146,7 @@ const ContentShuffleProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
     </ProcessorWrapper>
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx
index 4307563e64..ab8de7b2e0 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx
@@ -1,13 +1,11 @@
-import { useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import IAISwitch from 'common/components/IAISwitch';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredHedImageProcessorInvocation } from 'features/controlNet/store/types';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { ChangeEvent, memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.hed_image_processor
   .default as RequiredHedImageProcessorInvocation;
@@ -24,7 +22,6 @@ const HedPreprocessor = (props: HedProcessorProps) => {
     processorNode: { detect_resolution, image_resolution, scribble },
     isEnabled,
   } = props;
-  const isBusy = useAppSelector(selectIsBusy);
   const processorChanged = useProcessorNodeChanged();
   const { t } = useTranslation();
 
@@ -73,7 +70,7 @@ const HedPreprocessor = (props: HedProcessorProps) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.imageResolution')}
@@ -85,13 +82,13 @@ const HedPreprocessor = (props: HedProcessorProps) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISwitch
         label={t('controlnet.scribble')}
         isChecked={scribble}
         onChange={handleScribbleChanged}
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
     </ProcessorWrapper>
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx
index f9ebe0e8a5..f7970fda75 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx
@@ -1,12 +1,10 @@
-import { useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredLineartAnimeImageProcessorInvocation } from 'features/controlNet/store/types';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.lineart_anime_image_processor
   .default as RequiredLineartAnimeImageProcessorInvocation;
@@ -21,7 +19,6 @@ const LineartAnimeProcessor = (props: Props) => {
   const { controlNetId, processorNode, isEnabled } = props;
   const { image_resolution, detect_resolution } = processorNode;
   const processorChanged = useProcessorNodeChanged();
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
@@ -62,7 +59,7 @@ const LineartAnimeProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.imageResolution')}
@@ -74,7 +71,7 @@ const LineartAnimeProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
     </ProcessorWrapper>
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx
index d0fe49b8c2..4879857a64 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx
@@ -1,13 +1,11 @@
-import { useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import IAISwitch from 'common/components/IAISwitch';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredLineartImageProcessorInvocation } from 'features/controlNet/store/types';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { ChangeEvent, memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.lineart_image_processor
   .default as RequiredLineartImageProcessorInvocation;
@@ -22,7 +20,6 @@ const LineartProcessor = (props: LineartProcessorProps) => {
   const { controlNetId, processorNode, isEnabled } = props;
   const { image_resolution, detect_resolution, coarse } = processorNode;
   const processorChanged = useProcessorNodeChanged();
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
@@ -70,7 +67,7 @@ const LineartProcessor = (props: LineartProcessorProps) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.imageResolution')}
@@ -82,13 +79,13 @@ const LineartProcessor = (props: LineartProcessorProps) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISwitch
         label={t('controlnet.coarse')}
         isChecked={coarse}
         onChange={handleCoarseChanged}
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
     </ProcessorWrapper>
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx
index 003af5c275..d1b92a3b4f 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx
@@ -1,12 +1,10 @@
-import { useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredMediapipeFaceProcessorInvocation } from 'features/controlNet/store/types';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.mediapipe_face_processor
   .default as RequiredMediapipeFaceProcessorInvocation;
@@ -21,7 +19,6 @@ const MediapipeFaceProcessor = (props: Props) => {
   const { controlNetId, processorNode, isEnabled } = props;
   const { max_faces, min_confidence } = processorNode;
   const processorChanged = useProcessorNodeChanged();
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
 
   const handleMaxFacesChanged = useCallback(
@@ -58,7 +55,7 @@ const MediapipeFaceProcessor = (props: Props) => {
         max={20}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.minConfidence')}
@@ -71,7 +68,7 @@ const MediapipeFaceProcessor = (props: Props) => {
         step={0.01}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
     </ProcessorWrapper>
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx
index d4e0f6b85a..893e459875 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx
@@ -1,12 +1,10 @@
-import { useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredMidasDepthImageProcessorInvocation } from 'features/controlNet/store/types';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.midas_depth_image_processor
   .default as RequiredMidasDepthImageProcessorInvocation;
@@ -21,7 +19,6 @@ const MidasDepthProcessor = (props: Props) => {
   const { controlNetId, processorNode, isEnabled } = props;
   const { a_mult, bg_th } = processorNode;
   const processorChanged = useProcessorNodeChanged();
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
 
   const handleAMultChanged = useCallback(
@@ -59,7 +56,7 @@ const MidasDepthProcessor = (props: Props) => {
         step={0.01}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.bgth')}
@@ -72,7 +69,7 @@ const MidasDepthProcessor = (props: Props) => {
         step={0.01}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
     </ProcessorWrapper>
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx
index bd19cd501a..c97c803021 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx
@@ -1,12 +1,10 @@
-import { useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredMlsdImageProcessorInvocation } from 'features/controlNet/store/types';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.mlsd_image_processor
   .default as RequiredMlsdImageProcessorInvocation;
@@ -21,7 +19,6 @@ const MlsdImageProcessor = (props: Props) => {
   const { controlNetId, processorNode, isEnabled } = props;
   const { image_resolution, detect_resolution, thr_d, thr_v } = processorNode;
   const processorChanged = useProcessorNodeChanged();
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
@@ -84,7 +81,7 @@ const MlsdImageProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.imageResolution')}
@@ -96,7 +93,7 @@ const MlsdImageProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.w')}
@@ -109,7 +106,7 @@ const MlsdImageProcessor = (props: Props) => {
         step={0.01}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.h')}
@@ -122,7 +119,7 @@ const MlsdImageProcessor = (props: Props) => {
         step={0.01}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
     </ProcessorWrapper>
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx
index 01be34f097..a0c15374a8 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx
@@ -1,12 +1,10 @@
-import { useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredNormalbaeImageProcessorInvocation } from 'features/controlNet/store/types';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.normalbae_image_processor
   .default as RequiredNormalbaeImageProcessorInvocation;
@@ -21,7 +19,6 @@ const NormalBaeProcessor = (props: Props) => {
   const { controlNetId, processorNode, isEnabled } = props;
   const { image_resolution, detect_resolution } = processorNode;
   const processorChanged = useProcessorNodeChanged();
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
@@ -62,7 +59,7 @@ const NormalBaeProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.imageResolution')}
@@ -74,7 +71,7 @@ const NormalBaeProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
     </ProcessorWrapper>
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx
index ab536e7f2a..904078ff6d 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx
@@ -1,13 +1,11 @@
-import { useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import IAISwitch from 'common/components/IAISwitch';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredOpenposeImageProcessorInvocation } from 'features/controlNet/store/types';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { ChangeEvent, memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.openpose_image_processor
   .default as RequiredOpenposeImageProcessorInvocation;
@@ -22,7 +20,6 @@ const OpenposeProcessor = (props: Props) => {
   const { controlNetId, processorNode, isEnabled } = props;
   const { image_resolution, detect_resolution, hand_and_face } = processorNode;
   const processorChanged = useProcessorNodeChanged();
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
@@ -70,7 +67,7 @@ const OpenposeProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.imageResolution')}
@@ -82,13 +79,13 @@ const OpenposeProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISwitch
         label={t('controlnet.handAndFace')}
         isChecked={hand_and_face}
         onChange={handleHandAndFaceChanged}
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
     </ProcessorWrapper>
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx
index 730db4cfb3..50065d66d0 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx
@@ -1,13 +1,11 @@
-import { useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import IAISwitch from 'common/components/IAISwitch';
 import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { RequiredPidiImageProcessorInvocation } from 'features/controlNet/store/types';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { ChangeEvent, memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
 import ProcessorWrapper from './common/ProcessorWrapper';
-import { useTranslation } from 'react-i18next';
 
 const DEFAULTS = CONTROLNET_PROCESSORS.pidi_image_processor
   .default as RequiredPidiImageProcessorInvocation;
@@ -22,7 +20,6 @@ const PidiProcessor = (props: Props) => {
   const { controlNetId, processorNode, isEnabled } = props;
   const { image_resolution, detect_resolution, scribble, safe } = processorNode;
   const processorChanged = useProcessorNodeChanged();
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
 
   const handleDetectResolutionChanged = useCallback(
@@ -77,7 +74,7 @@ const PidiProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISlider
         label={t('controlnet.imageResolution')}
@@ -89,7 +86,7 @@ const PidiProcessor = (props: Props) => {
         max={4096}
         withInput
         withSliderMarks
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
       <IAISwitch
         label={t('controlnet.scribble')}
@@ -100,7 +97,7 @@ const PidiProcessor = (props: Props) => {
         label={t('controlnet.safe')}
         isChecked={safe}
         onChange={handleSafeChanged}
-        isDisabled={isBusy || !isEnabled}
+        isDisabled={!isEnabled}
       />
     </ProcessorWrapper>
   );
diff --git a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx
index dde6d1a517..5a98581403 100644
--- a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx
+++ b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx
@@ -1,20 +1,9 @@
 import { IconButtonProps } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import { useTranslation } from 'react-i18next';
 import { FaTrash } from 'react-icons/fa';
 
-const deleteImageButtonsSelector = createSelector(
-  [stateSelector],
-  ({ system }) => {
-    const { isProcessing, isConnected } = system;
-
-    return isConnected && !isProcessing;
-  }
-);
-
 type DeleteImageButtonProps = Omit<IconButtonProps, 'aria-label'> & {
   onClick: () => void;
 };
@@ -22,7 +11,7 @@ type DeleteImageButtonProps = Omit<IconButtonProps, 'aria-label'> & {
 export const DeleteImageButton = (props: DeleteImageButtonProps) => {
   const { onClick, isDisabled } = props;
   const { t } = useTranslation();
-  const canDeleteImage = useAppSelector(deleteImageButtonsSelector);
+  const isConnected = useAppSelector((state) => state.system.isConnected);
 
   return (
     <IAIIconButton
@@ -30,7 +19,7 @@ export const DeleteImageButton = (props: DeleteImageButtonProps) => {
       icon={<FaTrash />}
       tooltip={`${t('gallery.deleteImage')} (Del)`}
       aria-label={`${t('gallery.deleteImage')} (Del)`}
-      isDisabled={isDisabled || !canDeleteImage}
+      isDisabled={isDisabled || !isConnected}
       colorScheme="error"
     />
   );
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx
index b9fd655a43..ff9352d806 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx
@@ -2,28 +2,33 @@ import { Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAICollapse from 'common/components/IAICollapse';
-import { memo } from 'react';
-import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
-import ParamDynamicPromptsCombinatorial from './ParamDynamicPromptsCombinatorial';
-import ParamDynamicPromptsToggle from './ParamDynamicPromptsEnabled';
-import ParamDynamicPromptsMaxPrompts from './ParamDynamicPromptsMaxPrompts';
+import { memo, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
-
-const selector = createSelector(
-  stateSelector,
-  (state) => {
-    const { isEnabled } = state.dynamicPrompts;
-
-    return { activeLabel: isEnabled ? 'Enabled' : undefined };
-  },
-  defaultSelectorOptions
-);
+import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
+import ParamDynamicPromptsMaxPrompts from './ParamDynamicPromptsMaxPrompts';
+import ParamDynamicPromptsPreview from './ParamDynamicPromptsPreview';
+import ParamDynamicPromptsSeedBehaviour from './ParamDynamicPromptsSeedBehaviour';
 
 const ParamDynamicPromptsCollapse = () => {
-  const { activeLabel } = useAppSelector(selector);
   const { t } = useTranslation();
+  const selectActiveLabel = useMemo(
+    () =>
+      createSelector(stateSelector, ({ dynamicPrompts }) => {
+        const count = dynamicPrompts.prompts.length;
+        if (count === 1) {
+          return t('dynamicPrompts.promptsWithCount_one', {
+            count,
+          });
+        } else {
+          return t('dynamicPrompts.promptsWithCount_other', {
+            count,
+          });
+        }
+      }),
+    [t]
+  );
+  const activeLabel = useAppSelector(selectActiveLabel);
 
   const isDynamicPromptingEnabled =
     useFeatureStatus('dynamicPrompting').isFeatureEnabled;
@@ -33,10 +38,13 @@ const ParamDynamicPromptsCollapse = () => {
   }
 
   return (
-    <IAICollapse label={t('prompt.dynamicPrompts')} activeLabel={activeLabel}>
+    <IAICollapse
+      label={t('dynamicPrompts.dynamicPrompts')}
+      activeLabel={activeLabel}
+    >
       <Flex sx={{ gap: 2, flexDir: 'column' }}>
-        <ParamDynamicPromptsToggle />
-        <ParamDynamicPromptsCombinatorial />
+        <ParamDynamicPromptsSeedBehaviour />
+        <ParamDynamicPromptsPreview />
         <ParamDynamicPromptsMaxPrompts />
       </Flex>
     </IAICollapse>
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
index 406dc8e216..29c06ffdc7 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
@@ -10,15 +10,15 @@ import { useTranslation } from 'react-i18next';
 const selector = createSelector(
   stateSelector,
   (state) => {
-    const { combinatorial, isEnabled } = state.dynamicPrompts;
+    const { combinatorial } = state.dynamicPrompts;
 
-    return { combinatorial, isDisabled: !isEnabled };
+    return { combinatorial };
   },
   defaultSelectorOptions
 );
 
 const ParamDynamicPromptsCombinatorial = () => {
-  const { combinatorial, isDisabled } = useAppSelector(selector);
+  const { combinatorial } = useAppSelector(selector);
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
@@ -28,8 +28,7 @@ const ParamDynamicPromptsCombinatorial = () => {
 
   return (
     <IAISwitch
-      isDisabled={isDisabled}
-      label={t('prompt.combinatorial')}
+      label={t('dynamicPrompts.combinatorial')}
       isChecked={combinatorial}
       onChange={handleChange}
     />
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
deleted file mode 100644
index a1d16b5361..0000000000
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx
+++ /dev/null
@@ -1,38 +0,0 @@
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAISwitch from 'common/components/IAISwitch';
-import { memo, useCallback } from 'react';
-import { isEnabledToggled } from '../store/dynamicPromptsSlice';
-import { useTranslation } from 'react-i18next';
-
-const selector = createSelector(
-  stateSelector,
-  (state) => {
-    const { isEnabled } = state.dynamicPrompts;
-
-    return { isEnabled };
-  },
-  defaultSelectorOptions
-);
-
-const ParamDynamicPromptsToggle = () => {
-  const dispatch = useAppDispatch();
-  const { isEnabled } = useAppSelector(selector);
-  const { t } = useTranslation();
-
-  const handleToggleIsEnabled = useCallback(() => {
-    dispatch(isEnabledToggled());
-  }, [dispatch]);
-
-  return (
-    <IAISwitch
-      label={t('prompt.enableDynamicPrompts')}
-      isChecked={isEnabled}
-      onChange={handleToggleIsEnabled}
-    />
-  );
-};
-
-export default memo(ParamDynamicPromptsToggle);
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx
index 158fab91d9..29305630cc 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx
@@ -13,7 +13,7 @@ import { useTranslation } from 'react-i18next';
 const selector = createSelector(
   stateSelector,
   (state) => {
-    const { maxPrompts, combinatorial, isEnabled } = state.dynamicPrompts;
+    const { maxPrompts, combinatorial } = state.dynamicPrompts;
     const { min, sliderMax, inputMax } =
       state.config.sd.dynamicPrompts.maxPrompts;
 
@@ -22,7 +22,7 @@ const selector = createSelector(
       min,
       sliderMax,
       inputMax,
-      isDisabled: !isEnabled || !combinatorial,
+      isDisabled: !combinatorial,
     };
   },
   defaultSelectorOptions
@@ -47,7 +47,7 @@ const ParamDynamicPromptsMaxPrompts = () => {
 
   return (
     <IAISlider
-      label={t('prompt.maxPrompts')}
+      label={t('dynamicPrompts.maxPrompts')}
       isDisabled={isDisabled}
       min={min}
       max={sliderMax}
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx
new file mode 100644
index 0000000000..a961550abe
--- /dev/null
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx
@@ -0,0 +1,100 @@
+import {
+  ChakraProps,
+  Flex,
+  FormControl,
+  FormLabel,
+  ListItem,
+  OrderedList,
+  Spinner,
+  Text,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent';
+import { memo } from 'react';
+import { FaCircleExclamation } from 'react-icons/fa6';
+
+const selector = createSelector(
+  stateSelector,
+  (state) => {
+    const { isLoading, isError, prompts, parsingError } = state.dynamicPrompts;
+
+    return {
+      prompts,
+      parsingError,
+      isError,
+      isLoading,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const listItemStyles: ChakraProps['sx'] = {
+  '&::marker': { color: 'base.500', _dark: { color: 'base.500' } },
+};
+
+const ParamDynamicPromptsPreview = () => {
+  const { prompts, parsingError, isLoading, isError } =
+    useAppSelector(selector);
+
+  if (isError) {
+    return (
+      <Flex
+        w="full"
+        h="full"
+        layerStyle="second"
+        alignItems="center"
+        justifyContent="center"
+        p={8}
+      >
+        <IAINoContentFallback
+          icon={FaCircleExclamation}
+          label="Problem generating prompts"
+        />
+      </Flex>
+    );
+  }
+
+  return (
+    <FormControl isInvalid={Boolean(parsingError)}>
+      <FormLabel whiteSpace="nowrap" overflow="hidden" textOverflow="ellipsis">
+        Prompts Preview ({prompts.length}){parsingError && ` - ${parsingError}`}
+      </FormLabel>
+      <Flex h={64} pos="relative" layerStyle="third" borderRadius="base" p={2}>
+        <ScrollableContent>
+          <OrderedList stylePosition="inside" ms={0}>
+            {prompts.map((prompt, i) => (
+              <ListItem
+                fontSize="sm"
+                key={`${prompt}.${i}`}
+                sx={listItemStyles}
+              >
+                <Text as="span">{prompt}</Text>
+              </ListItem>
+            ))}
+          </OrderedList>
+        </ScrollableContent>
+        {isLoading && (
+          <Flex
+            pos="absolute"
+            w="full"
+            h="full"
+            top={0}
+            insetInlineStart={0}
+            layerStyle="second"
+            opacity={0.7}
+            alignItems="center"
+            justifyContent="center"
+          >
+            <Spinner />
+          </Flex>
+        )}
+      </Flex>
+    </FormControl>
+  );
+};
+
+export default memo(ParamDynamicPromptsPreview);
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx
new file mode 100644
index 0000000000..14a3e29ff7
--- /dev/null
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx
@@ -0,0 +1,60 @@
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIMantineSelect from 'common/components/IAIMantineSelect';
+import { memo, useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import {
+  SeedBehaviour,
+  seedBehaviourChanged,
+} from '../store/dynamicPromptsSlice';
+import IAIMantineSelectItemWithDescription from 'common/components/IAIMantineSelectItemWithDescription';
+
+type Item = {
+  label: string;
+  value: SeedBehaviour;
+  description: string;
+};
+
+const ParamDynamicPromptsSeedBehaviour = () => {
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+  const seedBehaviour = useAppSelector(
+    (state) => state.dynamicPrompts.seedBehaviour
+  );
+
+  const data = useMemo<Item[]>(() => {
+    return [
+      {
+        value: 'PER_ITERATION',
+        label: t('dynamicPrompts.seedBehaviour.perIterationLabel'),
+        description: t('dynamicPrompts.seedBehaviour.perIterationDesc'),
+      },
+      {
+        value: 'PER_PROMPT',
+        label: t('dynamicPrompts.seedBehaviour.perPromptLabel'),
+        description: t('dynamicPrompts.seedBehaviour.perPromptDesc'),
+      },
+    ];
+  }, [t]);
+
+  const handleChange = useCallback(
+    (v: string | null) => {
+      if (!v) {
+        return;
+      }
+      dispatch(seedBehaviourChanged(v as SeedBehaviour));
+    },
+    [dispatch]
+  );
+
+  return (
+    <IAIMantineSelect
+      label={t('dynamicPrompts.seedBehaviour.label')}
+      value={seedBehaviour}
+      data={data}
+      itemComponent={IAIMantineSelectItemWithDescription}
+      onChange={handleChange}
+    />
+  );
+};
+
+export default memo(ParamDynamicPromptsSeedBehaviour);
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsPersistDenylist.ts b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsPersistDenylist.ts
new file mode 100644
index 0000000000..5b1ed52938
--- /dev/null
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsPersistDenylist.ts
@@ -0,0 +1,4 @@
+import { initialDynamicPromptsState } from './dynamicPromptsSlice';
+
+export const dynamicPromptsPersistDenylist: (keyof typeof initialDynamicPromptsState)[] =
+  ['prompts'];
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts
index d96c8ff0b0..32e24845ea 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts
@@ -1,15 +1,24 @@
 import { PayloadAction, createSlice } from '@reduxjs/toolkit';
 
+export type SeedBehaviour = 'PER_ITERATION' | 'PER_PROMPT';
 export interface DynamicPromptsState {
-  isEnabled: boolean;
   maxPrompts: number;
   combinatorial: boolean;
+  prompts: string[];
+  parsingError: string | undefined | null;
+  isError: boolean;
+  isLoading: boolean;
+  seedBehaviour: SeedBehaviour;
 }
 
 export const initialDynamicPromptsState: DynamicPromptsState = {
-  isEnabled: false,
   maxPrompts: 100,
   combinatorial: true,
+  prompts: [],
+  parsingError: undefined,
+  isError: false,
+  isLoading: false,
+  seedBehaviour: 'PER_ITERATION',
 };
 
 const initialState: DynamicPromptsState = initialDynamicPromptsState;
@@ -27,17 +36,33 @@ export const dynamicPromptsSlice = createSlice({
     combinatorialToggled: (state) => {
       state.combinatorial = !state.combinatorial;
     },
-    isEnabledToggled: (state) => {
-      state.isEnabled = !state.isEnabled;
+    promptsChanged: (state, action: PayloadAction<string[]>) => {
+      state.prompts = action.payload;
+    },
+    parsingErrorChanged: (state, action: PayloadAction<string | undefined>) => {
+      state.parsingError = action.payload;
+    },
+    isErrorChanged: (state, action: PayloadAction<boolean>) => {
+      state.isError = action.payload;
+    },
+    isLoadingChanged: (state, action: PayloadAction<boolean>) => {
+      state.isLoading = action.payload;
+    },
+    seedBehaviourChanged: (state, action: PayloadAction<SeedBehaviour>) => {
+      state.seedBehaviour = action.payload;
     },
   },
 });
 
 export const {
-  isEnabledToggled,
   maxPromptsChanged,
   maxPromptsReset,
   combinatorialToggled,
+  promptsChanged,
+  parsingErrorChanged,
+  isErrorChanged,
+  isLoadingChanged,
+  seedBehaviourChanged,
 } = dynamicPromptsSlice.actions;
 
 export default dynamicPromptsSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
index 5f24225fa9..29211a7558 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
@@ -7,19 +7,17 @@ import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSe
 import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectItemWithTooltip';
 import { autoAddBoardIdChanged } from 'features/gallery/store/gallerySlice';
 import { memo, useCallback, useRef } from 'react';
-import { useListAllBoardsQuery } from 'services/api/endpoints/boards';
 import { useTranslation } from 'react-i18next';
+import { useListAllBoardsQuery } from 'services/api/endpoints/boards';
 
 const selector = createSelector(
   [stateSelector],
-  ({ gallery, system }) => {
+  ({ gallery }) => {
     const { autoAddBoardId, autoAssignBoardOnClick } = gallery;
-    const { isProcessing } = system;
 
     return {
       autoAddBoardId,
       autoAssignBoardOnClick,
-      isProcessing,
     };
   },
   defaultSelectorOptions
@@ -28,8 +26,7 @@ const selector = createSelector(
 const BoardAutoAddSelect = () => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
-  const { autoAddBoardId, autoAssignBoardOnClick, isProcessing } =
-    useAppSelector(selector);
+  const { autoAddBoardId, autoAssignBoardOnClick } = useAppSelector(selector);
   const inputRef = useRef<HTMLInputElement>(null);
   const { boards, hasBoards } = useListAllBoardsQuery(undefined, {
     selectFromResult: ({ data }) => {
@@ -73,7 +70,7 @@ const BoardAutoAddSelect = () => {
       data={boards}
       nothingFound={t('boards.noMatching')}
       itemComponent={IAIMantineSelectItemWithTooltip}
-      disabled={!hasBoards || autoAssignBoardOnClick || isProcessing}
+      disabled={!hasBoards || autoAssignBoardOnClick}
       filter={(value, item: SelectItem) =>
         item.label?.toLowerCase().includes(value.toLowerCase().trim()) ||
         item.value.toLowerCase().includes(value.toLowerCase().trim())
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
index e5eb92028d..c18a9f671c 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
@@ -2,6 +2,7 @@ import { MenuGroup, MenuItem, MenuList } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import {
   IAIContextMenu,
   IAIContextMenuProps,
@@ -9,14 +10,13 @@ import {
 import { autoAddBoardIdChanged } from 'features/gallery/store/gallerySlice';
 import { BoardId } from 'features/gallery/store/types';
 import { MouseEvent, memo, useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
 import { FaPlus } from 'react-icons/fa';
 import { useBoardName } from 'services/api/hooks/useBoardName';
 import { BoardDTO } from 'services/api/types';
 import { menuListMotionProps } from 'theme/components/menu';
 import GalleryBoardContextMenuItems from './GalleryBoardContextMenuItems';
 import NoBoardContextMenuItems from './NoBoardContextMenuItems';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import { useTranslation } from 'react-i18next';
 
 type Props = {
   board?: BoardDTO;
@@ -37,19 +37,17 @@ const BoardContextMenu = ({
     () =>
       createSelector(
         stateSelector,
-        ({ gallery, system }) => {
+        ({ gallery }) => {
           const isAutoAdd = gallery.autoAddBoardId === board_id;
-          const isProcessing = system.isProcessing;
           const autoAssignBoardOnClick = gallery.autoAssignBoardOnClick;
-          return { isAutoAdd, isProcessing, autoAssignBoardOnClick };
+          return { isAutoAdd, autoAssignBoardOnClick };
         },
         defaultSelectorOptions
       ),
     [board_id]
   );
 
-  const { isAutoAdd, isProcessing, autoAssignBoardOnClick } =
-    useAppSelector(selector);
+  const { isAutoAdd, autoAssignBoardOnClick } = useAppSelector(selector);
   const boardName = useBoardName(board_id);
 
   const handleSetAutoAdd = useCallback(() => {
@@ -78,7 +76,7 @@ const BoardContextMenu = ({
           <MenuGroup title={boardName}>
             <MenuItem
               icon={<FaPlus />}
-              isDisabled={isAutoAdd || isProcessing || autoAssignBoardOnClick}
+              isDisabled={isAutoAdd || autoAssignBoardOnClick}
               onClick={handleSetAutoAdd}
             >
               {t('boards.menuItemAutoAdd')}
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
index 78b633bd99..1bb6816bd9 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
@@ -16,6 +16,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIDroppable from 'common/components/IAIDroppable';
 import SelectionOverlay from 'common/components/SelectionOverlay';
+import { AddToBoardDropData } from 'features/dnd/types';
 import {
   autoAddBoardIdChanged,
   boardIdSelected,
@@ -31,7 +32,6 @@ import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { BoardDTO } from 'services/api/types';
 import AutoAddIcon from '../AutoAddIcon';
 import BoardContextMenu from '../BoardContextMenu';
-import { AddToBoardDropData } from 'features/dnd/types';
 
 interface GalleryBoardProps {
   board: BoardDTO;
@@ -49,16 +49,14 @@ const GalleryBoard = ({
     () =>
       createSelector(
         stateSelector,
-        ({ gallery, system }) => {
+        ({ gallery }) => {
           const isSelectedForAutoAdd =
             board.board_id === gallery.autoAddBoardId;
           const autoAssignBoardOnClick = gallery.autoAssignBoardOnClick;
-          const isProcessing = system.isProcessing;
 
           return {
             isSelectedForAutoAdd,
             autoAssignBoardOnClick,
-            isProcessing,
           };
         },
         defaultSelectorOptions
@@ -66,7 +64,7 @@ const GalleryBoard = ({
     [board.board_id]
   );
 
-  const { isSelectedForAutoAdd, autoAssignBoardOnClick, isProcessing } =
+  const { isSelectedForAutoAdd, autoAssignBoardOnClick } =
     useAppSelector(selector);
   const [isHovered, setIsHovered] = useState(false);
   const handleMouseOver = useCallback(() => {
@@ -96,10 +94,10 @@ const GalleryBoard = ({
 
   const handleSelectBoard = useCallback(() => {
     dispatch(boardIdSelected(board_id));
-    if (autoAssignBoardOnClick && !isProcessing) {
+    if (autoAssignBoardOnClick) {
       dispatch(autoAddBoardIdChanged(board_id));
     }
-  }, [board_id, autoAssignBoardOnClick, isProcessing, dispatch]);
+  }, [board_id, autoAssignBoardOnClick, dispatch]);
 
   const [updateBoard, { isLoading: isUpdateBoardLoading }] =
     useUpdateBoardMutation();
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
index da51a5fe39..55034decf0 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
@@ -22,25 +22,23 @@ interface Props {
 
 const selector = createSelector(
   stateSelector,
-  ({ gallery, system }) => {
+  ({ gallery }) => {
     const { autoAddBoardId, autoAssignBoardOnClick } = gallery;
-    const { isProcessing } = system;
-    return { autoAddBoardId, autoAssignBoardOnClick, isProcessing };
+    return { autoAddBoardId, autoAssignBoardOnClick };
   },
   defaultSelectorOptions
 );
 
 const NoBoardBoard = memo(({ isSelected }: Props) => {
   const dispatch = useAppDispatch();
-  const { autoAddBoardId, autoAssignBoardOnClick, isProcessing } =
-    useAppSelector(selector);
+  const { autoAddBoardId, autoAssignBoardOnClick } = useAppSelector(selector);
   const boardName = useBoardName('none');
   const handleSelectBoard = useCallback(() => {
     dispatch(boardIdSelected('none'));
-    if (autoAssignBoardOnClick && !isProcessing) {
+    if (autoAssignBoardOnClick) {
       dispatch(autoAddBoardIdChanged('none'));
     }
-  }, [dispatch, autoAssignBoardOnClick, isProcessing]);
+  }, [dispatch, autoAssignBoardOnClick]);
   const [isHovered, setIsHovered] = useState(false);
 
   const handleMouseOver = useCallback(() => {
diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
index e5f0bc54f5..83b9466722 100644
--- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
@@ -21,6 +21,7 @@ import { workflowLoadRequested } from 'features/nodes/store/actions';
 import ParamUpscalePopover from 'features/parameters/components/Parameters/Upscale/ParamUpscaleSettings';
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { initialImageSelected } from 'features/parameters/store/actions';
+import { useIsQueueMutationInProgress } from 'features/queue/hooks/useIsQueueMutationInProgress';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import {
@@ -36,9 +37,8 @@ import {
   FaHourglassHalf,
   FaQuoteRight,
   FaSeedling,
-  FaShareAlt,
 } from 'react-icons/fa';
-import { MdDeviceHub } from 'react-icons/md';
+import { FaCircleNodes, FaEllipsis } from 'react-icons/fa6';
 import {
   useGetImageDTOQuery,
   useGetImageMetadataFromFileQuery,
@@ -50,8 +50,7 @@ import SingleSelectionMenuItems from '../ImageContextMenu/SingleSelectionMenuIte
 const currentImageButtonsSelector = createSelector(
   [stateSelector, activeTabNameSelector],
   ({ gallery, system, ui, config }, activeTabName) => {
-    const { isProcessing, isConnected, shouldConfirmOnDelete, progressImage } =
-      system;
+    const { isConnected, shouldConfirmOnDelete, denoiseProgress } = system;
 
     const {
       shouldShowImageDetails,
@@ -64,11 +63,10 @@ const currentImageButtonsSelector = createSelector(
     const lastSelectedImage = gallery.selection[gallery.selection.length - 1];
 
     return {
-      canDeleteImage: isConnected && !isProcessing,
       shouldConfirmOnDelete,
-      isProcessing,
       isConnected,
-      shouldDisableToolbarButtons: Boolean(progressImage) || !lastSelectedImage,
+      shouldDisableToolbarButtons:
+        Boolean(denoiseProgress?.progress_image) || !lastSelectedImage,
       shouldShowImageDetails,
       activeTabName,
       shouldHidePreview,
@@ -89,7 +87,6 @@ type CurrentImageButtonsProps = FlexProps;
 const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
   const dispatch = useAppDispatch();
   const {
-    isProcessing,
     isConnected,
     shouldDisableToolbarButtons,
     shouldShowImageDetails,
@@ -99,7 +96,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
   } = useAppSelector(currentImageButtonsSelector);
 
   const isUpscalingEnabled = useFeatureStatus('upscaling').isFeatureEnabled;
-
+  const isQueueMutationInProgress = useIsQueueMutationInProgress();
   const toaster = useAppToaster();
   const { t } = useTranslation();
 
@@ -202,19 +199,10 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
     {
       enabled: () =>
         Boolean(
-          isUpscalingEnabled &&
-            !shouldDisableToolbarButtons &&
-            isConnected &&
-            !isProcessing
+          isUpscalingEnabled && !shouldDisableToolbarButtons && isConnected
         ),
     },
-    [
-      isUpscalingEnabled,
-      imageDTO,
-      shouldDisableToolbarButtons,
-      isConnected,
-      isProcessing,
-    ]
+    [isUpscalingEnabled, imageDTO, shouldDisableToolbarButtons, isConnected]
   );
 
   const handleClickShowImageDetails = useCallback(
@@ -266,10 +254,10 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
           <Menu>
             <MenuButton
               as={IAIIconButton}
-              aria-label={`${t('parameters.sendTo')}...`}
-              tooltip={`${t('parameters.sendTo')}...`}
+              aria-label={t('parameters.imageActions')}
+              tooltip={t('parameters.imageActions')}
               isDisabled={!imageDTO}
-              icon={<FaShareAlt />}
+              icon={<FaEllipsis />}
             />
             <MenuList motionProps={menuListMotionProps}>
               {imageDTO && <SingleSelectionMenuItems imageDTO={imageDTO} />}
@@ -280,7 +268,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
         <ButtonGroup isAttached={true} isDisabled={shouldDisableToolbarButtons}>
           <IAIIconButton
             isLoading={isLoading}
-            icon={<MdDeviceHub />}
+            icon={<FaCircleNodes />}
             tooltip={`${t('nodes.loadWorkflow')} (W)`}
             aria-label={`${t('nodes.loadWorkflow')} (W)`}
             isDisabled={!workflow}
@@ -313,15 +301,12 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
         </ButtonGroup>
 
         {isUpscalingEnabled && (
-          <ButtonGroup
-            isAttached={true}
-            isDisabled={shouldDisableToolbarButtons}
-          >
+          <ButtonGroup isAttached={true} isDisabled={isQueueMutationInProgress}>
             {isUpscalingEnabled && <ParamUpscalePopover imageDTO={imageDTO} />}
           </ButtonGroup>
         )}
 
-        <ButtonGroup isAttached={true} isDisabled={shouldDisableToolbarButtons}>
+        <ButtonGroup isAttached={true}>
           <IAIIconButton
             icon={<FaCode />}
             tooltip={`${t('parameters.info')} (I)`}
@@ -342,10 +327,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
         </ButtonGroup>
 
         <ButtonGroup isAttached={true}>
-          <DeleteImageButton
-            onClick={handleDelete}
-            isDisabled={shouldDisableToolbarButtons}
-          />
+          <DeleteImageButton onClick={handleDelete} />
         </ButtonGroup>
       </Flex>
     </>
diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
index b16820a38f..ac2e4a2bf8 100644
--- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
@@ -29,12 +29,12 @@ export const imagesSelector = createSelector(
       shouldHidePreview,
       shouldShowProgressInViewer,
     } = ui;
-    const { progressImage, shouldAntialiasProgressImage } = system;
+    const { denoiseProgress, shouldAntialiasProgressImage } = system;
     return {
       shouldShowImageDetails,
       shouldHidePreview,
       imageName: lastSelectedImage?.image_name,
-      progressImage,
+      denoiseProgress,
       shouldShowProgressInViewer,
       shouldAntialiasProgressImage,
     };
@@ -50,7 +50,7 @@ const CurrentImagePreview = () => {
   const {
     shouldShowImageDetails,
     imageName,
-    progressImage,
+    denoiseProgress,
     shouldShowProgressInViewer,
     shouldAntialiasProgressImage,
   } = useAppSelector(imagesSelector);
@@ -143,11 +143,11 @@ const CurrentImagePreview = () => {
         position: 'relative',
       }}
     >
-      {progressImage && shouldShowProgressInViewer ? (
+      {denoiseProgress?.progress_image && shouldShowProgressInViewer ? (
         <Image
-          src={progressImage.dataURL}
-          width={progressImage.width}
-          height={progressImage.height}
+          src={denoiseProgress.progress_image.dataURL}
+          width={denoiseProgress.progress_image.width}
+          height={denoiseProgress.progress_image.height}
           draggable={false}
           sx={{
             objectFit: 'contain',
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index c50b0c13dd..35a4e9f18c 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -16,6 +16,7 @@ import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard';
 import { setActiveTab } from 'features/ui/store/uiSlice';
 import { memo, useCallback } from 'react';
+import { flushSync } from 'react-dom';
 import { useTranslation } from 'react-i18next';
 import {
   FaAsterisk,
@@ -28,7 +29,8 @@ import {
   FaShare,
   FaTrash,
 } from 'react-icons/fa';
-import { MdDeviceHub, MdStar, MdStarBorder } from 'react-icons/md';
+import { FaCircleNodes } from 'react-icons/fa6';
+import { MdStar, MdStarBorder } from 'react-icons/md';
 import {
   useGetImageMetadataFromFileQuery,
   useStarImagesMutation,
@@ -37,7 +39,6 @@ import {
 import { ImageDTO } from 'services/api/types';
 import { configSelector } from '../../../system/store/configSelectors';
 import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
-import { flushSync } from 'react-dom';
 
 type SingleSelectionMenuItemsProps = {
   imageDTO: ImageDTO;
@@ -180,7 +181,7 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
         {t('parameters.downloadImage')}
       </MenuItem>
       <MenuItem
-        icon={isLoading ? <SpinnerIcon /> : <MdDeviceHub />}
+        icon={isLoading ? <SpinnerIcon /> : <FaCircleNodes />}
         onClickCapture={handleLoadWorkflow}
         isDisabled={isLoading || !workflow}
       >
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
index 4f1bd39b8c..955e8a5a3a 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
@@ -103,7 +103,7 @@ const ImageMetadataActions = (props: Props) => {
       )}
       {metadata.negative_prompt && (
         <ImageMetadataItem
-          label={t('metadata.NegativePrompt')}
+          label={t('metadata.negativePrompt')}
           labelPosition="top"
           value={metadata.negative_prompt}
           onClick={handleRecallNegativePrompt}
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
index 5be0b08700..8c7e69b2b1 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
@@ -96,7 +96,7 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => {
             {workflow ? (
               <DataViewer data={workflow} label={t('metadata.workflow')} />
             ) : (
-              <IAINoContentFallback label={t('metadata.noWorkFlow')} />
+              <IAINoContentFallback label={t('nodes.noWorkflow')} />
             )}
           </TabPanel>
         </TabPanels>
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx
index 4433adf4ab..9ab413a98f 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx
@@ -96,7 +96,7 @@ const AddNodePopover = () => {
     (nodeType: AnyInvocationType) => {
       const invocation = buildInvocation(nodeType);
       if (!invocation) {
-        const errorMessage = t('nodes.unknownInvocation', {
+        const errorMessage = t('nodes.unknownNode', {
           nodeType: nodeType,
         });
         toaster({
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/CurrentImage/CurrentImageNode.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/CurrentImage/CurrentImageNode.tsx
index e081ccf471..96ef7c56a3 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/CurrentImage/CurrentImageNode.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/CurrentImage/CurrentImageNode.tsx
@@ -16,7 +16,7 @@ const selector = createSelector(stateSelector, ({ system, gallery }) => {
 
   return {
     imageDTO,
-    progressImage: system.progressImage,
+    progressImage: system.denoiseProgress?.progress_image,
   };
 });
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx
index 6542713942..447dfcbd97 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx
@@ -27,7 +27,7 @@ const EmbedWorkflowCheckbox = ({ nodeId }: { nodeId: string }) => {
 
   return (
     <FormControl as={Flex} sx={{ alignItems: 'center', gap: 2, w: 'auto' }}>
-      <FormLabel sx={{ fontSize: 'xs', mb: '1px' }}>Embed Workflow</FormLabel>
+      <FormLabel sx={{ fontSize: 'xs', mb: '1px' }}>Workflow</FormLabel>
       <Checkbox
         className="nopan"
         size="sm"
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNode.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNode.tsx
index 11c34668ba..d2e0667ab2 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNode.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNode.tsx
@@ -1,14 +1,13 @@
 import { Flex, Grid, GridItem } from '@chakra-ui/react';
+import { useAnyOrDirectInputFieldNames } from 'features/nodes/hooks/useAnyOrDirectInputFieldNames';
+import { useConnectionInputFieldNames } from 'features/nodes/hooks/useConnectionInputFieldNames';
+import { useOutputFieldNames } from 'features/nodes/hooks/useOutputFieldNames';
 import { memo } from 'react';
+import NodeWrapper from '../common/NodeWrapper';
 import InvocationNodeFooter from './InvocationNodeFooter';
 import InvocationNodeHeader from './InvocationNodeHeader';
-import NodeWrapper from '../common/NodeWrapper';
-import OutputField from './fields/OutputField';
 import InputField from './fields/InputField';
-import { useOutputFieldNames } from 'features/nodes/hooks/useOutputFieldNames';
-import { useWithFooter } from 'features/nodes/hooks/useWithFooter';
-import { useConnectionInputFieldNames } from 'features/nodes/hooks/useConnectionInputFieldNames';
-import { useAnyOrDirectInputFieldNames } from 'features/nodes/hooks/useAnyOrDirectInputFieldNames';
+import OutputField from './fields/OutputField';
 
 type Props = {
   nodeId: string;
@@ -22,7 +21,6 @@ const InvocationNode = ({ nodeId, isOpen, label, type, selected }: Props) => {
   const inputConnectionFieldNames = useConnectionInputFieldNames(nodeId);
   const inputAnyOrDirectFieldNames = useAnyOrDirectInputFieldNames(nodeId);
   const outputFieldNames = useOutputFieldNames(nodeId);
-  const withFooter = useWithFooter(nodeId);
 
   return (
     <NodeWrapper nodeId={nodeId} selected={selected}>
@@ -43,7 +41,7 @@ const InvocationNode = ({ nodeId, isOpen, label, type, selected }: Props) => {
               h: 'full',
               py: 2,
               gap: 1,
-              borderBottomRadius: withFooter ? 0 : 'base',
+              borderBottomRadius: 0,
             }}
           >
             <Flex sx={{ flexDir: 'column', px: 2, w: 'full', h: 'full' }}>
@@ -76,7 +74,7 @@ const InvocationNode = ({ nodeId, isOpen, label, type, selected }: Props) => {
               ))}
             </Flex>
           </Flex>
-          {withFooter && <InvocationNodeFooter nodeId={nodeId} />}
+          <InvocationNodeFooter nodeId={nodeId} />
         </>
       )}
     </NodeWrapper>
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx
index 320b56b057..6f4b719f74 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx
@@ -3,12 +3,15 @@ import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
 import { memo } from 'react';
 import EmbedWorkflowCheckbox from './EmbedWorkflowCheckbox';
 import SaveToGalleryCheckbox from './SaveToGalleryCheckbox';
+import UseCacheCheckbox from './UseCacheCheckbox';
+import { useHasImageOutput } from 'features/nodes/hooks/useHasImageOutput';
 
 type Props = {
   nodeId: string;
 };
 
 const InvocationNodeFooter = ({ nodeId }: Props) => {
+  const hasImageOutput = useHasImageOutput(nodeId);
   return (
     <Flex
       className={DRAG_HANDLE_CLASSNAME}
@@ -22,8 +25,9 @@ const InvocationNodeFooter = ({ nodeId }: Props) => {
         justifyContent: 'space-between',
       }}
     >
-      <EmbedWorkflowCheckbox nodeId={nodeId} />
-      <SaveToGalleryCheckbox nodeId={nodeId} />
+      {hasImageOutput && <EmbedWorkflowCheckbox nodeId={nodeId} />}
+      <UseCacheCheckbox nodeId={nodeId} />
+      {hasImageOutput && <SaveToGalleryCheckbox nodeId={nodeId} />}
     </Flex>
   );
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/UseCacheCheckbox.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/UseCacheCheckbox.tsx
new file mode 100644
index 0000000000..72f3e72b11
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/UseCacheCheckbox.tsx
@@ -0,0 +1,35 @@
+import { Checkbox, Flex, FormControl, FormLabel } from '@chakra-ui/react';
+import { useAppDispatch } from 'app/store/storeHooks';
+import { useUseCache } from 'features/nodes/hooks/useUseCache';
+import { nodeUseCacheChanged } from 'features/nodes/store/nodesSlice';
+import { ChangeEvent, memo, useCallback } from 'react';
+
+const UseCacheCheckbox = ({ nodeId }: { nodeId: string }) => {
+  const dispatch = useAppDispatch();
+  const useCache = useUseCache(nodeId);
+  const handleChange = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(
+        nodeUseCacheChanged({
+          nodeId,
+          useCache: e.target.checked,
+        })
+      );
+    },
+    [dispatch, nodeId]
+  );
+
+  return (
+    <FormControl as={Flex} sx={{ alignItems: 'center', gap: 2, w: 'auto' }}>
+      <FormLabel sx={{ fontSize: 'xs', mb: '1px' }}>Use Cache</FormLabel>
+      <Checkbox
+        className="nopan"
+        size="sm"
+        onChange={handleChange}
+        isChecked={useCache}
+      />
+    </FormControl>
+  );
+};
+
+export default memo(UseCacheCheckbox);
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx
index a73119347c..8e5c8f4e48 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx
@@ -38,7 +38,7 @@ const EditableFieldTitle = forwardRef((props: Props, ref) => {
 
   const dispatch = useAppDispatch();
   const [localTitle, setLocalTitle] = useState(
-    label || fieldTemplateTitle || t('nodes.unknownFeild')
+    label || fieldTemplateTitle || t('nodes.unknownField')
   );
 
   const handleSubmit = useCallback(
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeWrapper.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeWrapper.tsx
index d18abc1bf4..79de65760f 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeWrapper.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeWrapper.tsx
@@ -114,7 +114,7 @@ const NodeWrapper = (props: NodeWrapperProps) => {
           borderRadius: 'md',
           pointerEvents: 'none',
           transitionProperty: 'common',
-          transitionDuration: 'normal',
+          transitionDuration: '0.1s',
           opacity: 0.7,
           shadow: isInProgress ? inProgressShadow : undefined,
           zIndex: -1,
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopCenterPanel/WorkflowEditorControls.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopCenterPanel/WorkflowEditorControls.tsx
deleted file mode 100644
index 3a72f52b0c..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopCenterPanel/WorkflowEditorControls.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import { Flex } from '@chakra-ui/react';
-import CancelButton from 'features/parameters/components/ProcessButtons/CancelButton';
-import InvokeButton from 'features/parameters/components/ProcessButtons/InvokeButton';
-import { memo } from 'react';
-
-const WorkflowEditorControls = () => {
-  return (
-    <Flex layerStyle="first" sx={{ gap: 2, borderRadius: 'base', p: 2 }}>
-      <InvokeButton />
-      <CancelButton />
-    </Flex>
-  );
-};
-
-export default memo(WorkflowEditorControls);
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx
index f40d5ddd80..4f9edfa0e2 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx
@@ -1,5 +1,5 @@
 import { Flex } from '@chakra-ui/react';
-import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
+import QueueControls from 'features/queue/components/QueueControls';
 import ResizeHandle from 'features/ui/components/tabs/ResizeHandle';
 import { usePanelStorage } from 'features/ui/hooks/usePanelStorage';
 import { memo, useCallback, useRef, useState } from 'react';
@@ -11,6 +11,7 @@ import {
 import 'reactflow/dist/style.css';
 import InspectorPanel from './inspector/InspectorPanel';
 import WorkflowPanel from './workflow/WorkflowPanel';
+import ParamIterations from 'features/parameters/components/Parameters/Core/ParamIterations';
 
 const NodeEditorPanelGroup = () => {
   const [isTopPanelCollapsed, setIsTopPanelCollapsed] = useState(false);
@@ -26,7 +27,21 @@ const NodeEditorPanelGroup = () => {
 
   return (
     <Flex sx={{ flexDir: 'column', gap: 2, height: '100%', width: '100%' }}>
-      <ProcessButtons />
+      <QueueControls />
+      <Flex
+        layerStyle="first"
+        sx={{
+          w: 'full',
+          position: 'relative',
+          borderRadius: 'base',
+          p: 2,
+          pb: 3,
+          gap: 2,
+          flexDir: 'column',
+        }}
+      >
+        <ParamIterations asSlider />
+      </Flex>
       <PanelGroup
         ref={panelGroupRef}
         id="workflow-panel-group"
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/ScrollableContent.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/ScrollableContent.tsx
index 7e3f4aa249..09a676c740 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/ScrollableContent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/ScrollableContent.tsx
@@ -1,13 +1,18 @@
-import { Box, Flex } from '@chakra-ui/react';
+import { Box, Flex, StyleProps } from '@chakra-ui/react';
 import { OverlayScrollbarsComponent } from 'overlayscrollbars-react';
 import { PropsWithChildren, memo } from 'react';
 
-const ScrollableContent = (props: PropsWithChildren) => {
+type Props = PropsWithChildren & {
+  maxHeight?: StyleProps['maxHeight'];
+};
+
+const ScrollableContent = ({ children, maxHeight }: Props) => {
   return (
     <Flex
       sx={{
         w: 'full',
         h: 'full',
+        maxHeight,
         position: 'relative',
       }}
     >
@@ -35,7 +40,7 @@ const ScrollableContent = (props: PropsWithChildren) => {
             },
           }}
         >
-          {props.children}
+          {children}
         </OverlayScrollbarsComponent>
       </Box>
     </Flex>
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx
index b6a194051e..f4abc621b4 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx
@@ -83,7 +83,7 @@ const InspectorOutputsTab = () => {
               />
             ))
           ) : (
-            <DataViewer data={nes.outputs} label={t('nodes.nodesOutputs')} />
+            <DataViewer data={nes.outputs} label={t('nodes.nodeOutputs')} />
           )}
         </Flex>
       </ScrollableContent>
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx
index b5e358239a..caa01e5b67 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx
@@ -38,7 +38,7 @@ const NodeTemplateInspector = () => {
     );
   }
 
-  return <DataViewer data={template} label={t('nodes.NodeTemplate')} />;
+  return <DataViewer data={template} label={t('nodes.nodeTemplate')} />;
 };
 
 export default memo(NodeTemplateInspector);
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
index 24982f591e..9af7099988 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
@@ -146,6 +146,7 @@ export const useBuildNodeData = () => {
           isIntermediate: true,
           inputs,
           outputs,
+          useCache: template.useCache,
         },
       };
 
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useUseCache.ts b/invokeai/frontend/web/src/features/nodes/hooks/useUseCache.ts
new file mode 100644
index 0000000000..7416d7e66e
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useUseCache.ts
@@ -0,0 +1,29 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useMemo } from 'react';
+import { isInvocationNode } from '../types/types';
+
+export const useUseCache = (nodeId: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return false;
+          }
+          // cast to boolean to support older workflows that didn't have useCache
+          // TODO: handle this better somehow
+          return node.data.useCache;
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const useCache = useAppSelector(selector);
+  return useCache;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts b/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts
index 8bde120005..57941eaec8 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts
@@ -7,7 +7,7 @@ import { useMemo } from 'react';
 import { FOOTER_FIELDS } from '../types/constants';
 import { isInvocationNode } from '../types/types';
 
-export const useWithFooter = (nodeId: string) => {
+export const useHasImageOutputs = (nodeId: string) => {
   const selector = useMemo(
     () =>
       createSelector(
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index 3e330cf710..07dd8ad4ec 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -25,6 +25,7 @@ import {
   appSocketInvocationComplete,
   appSocketInvocationError,
   appSocketInvocationStarted,
+  appSocketQueueItemStatusChanged,
 } from 'services/events/actions';
 import { v4 as uuidv4 } from 'uuid';
 import { DRAG_HANDLE_CLASSNAME } from '../types/constants';
@@ -261,6 +262,20 @@ const nodesSlice = createSlice({
       }
       node.data.embedWorkflow = embedWorkflow;
     },
+    nodeUseCacheChanged: (
+      state,
+      action: PayloadAction<{ nodeId: string; useCache: boolean }>
+    ) => {
+      const { nodeId, useCache } = action.payload;
+      const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId);
+
+      const node = state.nodes?.[nodeIndex];
+
+      if (!isInvocationNode(node)) {
+        return;
+      }
+      node.data.useCache = useCache;
+    },
     nodeIsIntermediateChanged: (
       state,
       action: PayloadAction<{ nodeId: string; isIntermediate: boolean }>
@@ -847,6 +862,19 @@ const nodesSlice = createSlice({
         }
       });
     });
+    builder.addCase(appSocketQueueItemStatusChanged, (state, action) => {
+      if (
+        ['completed', 'canceled', 'failed'].includes(action.payload.data.status)
+      ) {
+        forEach(state.nodeExecutionStates, (nes) => {
+          nes.status = NodeStatus.PENDING;
+          nes.error = null;
+          nes.progress = null;
+          nes.progressImage = null;
+          // do not reset nes.outputs, this allows a user to inspect the output of a node across batches
+        });
+      }
+    });
   },
 });
 
@@ -912,6 +940,7 @@ export const {
   nodeIsIntermediateChanged,
   mouseOverNodeChanged,
   nodeExclusivelySelected,
+  nodeUseCacheChanged,
 } = nodesSlice.actions;
 
 export default nodesSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index af7dbdff38..7ca683e77d 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -1,3 +1,4 @@
+import { $store } from 'app/store/nanostores/store';
 import {
   SchedulerParam,
   zBaseModel,
@@ -7,7 +8,8 @@ import {
   zSDXLRefinerModel,
   zScheduler,
 } from 'features/parameters/types/parameterSchemas';
-import { keyBy } from 'lodash-es';
+import i18n from 'i18next';
+import { has, keyBy } from 'lodash-es';
 import { OpenAPIV3 } from 'openapi-types';
 import { RgbaColor } from 'react-colorful';
 import { Node } from 'reactflow';
@@ -20,7 +22,6 @@ import {
 import { O } from 'ts-toolbelt';
 import { JsonObject } from 'type-fest';
 import { z } from 'zod';
-import i18n from 'i18next';
 
 export type NonNullableGraph = O.Required<Graph, 'nodes' | 'edges'>;
 
@@ -57,6 +58,10 @@ export type InvocationTemplate = {
    * The invocation's version.
    */
   version?: string;
+  /**
+   * Whether or not this node should use the cache
+   */
+  useCache: boolean;
 };
 
 export type FieldUIConfig = {
@@ -1022,6 +1027,9 @@ export type InvocationSchemaExtra = {
     type: Omit<OpenAPIV3.SchemaObject, 'default'> & {
       default: AnyInvocationType;
     };
+    use_cache: Omit<OpenAPIV3.SchemaObject, 'default'> & {
+      default: boolean;
+    };
   };
 };
 
@@ -1185,9 +1193,37 @@ export const zInvocationNodeData = z.object({
   version: zSemVer.optional(),
 });
 
+export const zInvocationNodeDataV2 = z.preprocess(
+  (arg) => {
+    try {
+      const data = zInvocationNodeData.parse(arg);
+      if (!has(data, 'useCache')) {
+        const nodeTemplates = $store.get()?.getState().nodes.nodeTemplates as
+          | Record<string, InvocationTemplate>
+          | undefined;
+
+        const template = nodeTemplates?.[data.type];
+
+        let useCache = true;
+        if (template) {
+          useCache = template.useCache;
+        }
+
+        Object.assign(data, { useCache });
+      }
+      return data;
+    } catch {
+      return arg;
+    }
+  },
+  zInvocationNodeData.extend({
+    useCache: z.boolean(),
+  })
+);
+
 // Massage this to get better type safety while developing
 export type InvocationNodeData = Omit<
-  z.infer<typeof zInvocationNodeData>,
+  z.infer<typeof zInvocationNodeDataV2>,
   'type'
 > & {
   type: AnyInvocationType;
@@ -1215,7 +1251,7 @@ const zDimension = z.number().gt(0).nullish();
 export const zWorkflowInvocationNode = z.object({
   id: z.string().trim().min(1),
   type: z.literal('invocation'),
-  data: zInvocationNodeData,
+  data: zInvocationNodeDataV2,
   width: zDimension,
   height: zDimension,
   position: zPosition,
@@ -1277,6 +1313,8 @@ export type WorkflowWarning = {
   data: JsonObject;
 };
 
+const CURRENT_WORKFLOW_VERSION = '1.0.0';
+
 export const zWorkflow = z.object({
   name: z.string().default(''),
   author: z.string().default(''),
@@ -1292,7 +1330,7 @@ export const zWorkflow = z.object({
     .object({
       version: zSemVer,
     })
-    .default({ version: '1.0.0' }),
+    .default({ version: CURRENT_WORKFLOW_VERSION }),
 });
 
 export const zValidatedWorkflow = zWorkflow.transform((workflow) => {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addDynamicPromptsToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addDynamicPromptsToGraph.ts
deleted file mode 100644
index acb091a06b..0000000000
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addDynamicPromptsToGraph.ts
+++ /dev/null
@@ -1,209 +0,0 @@
-import { RootState } from 'app/store/store';
-import { NonNullableGraph } from 'features/nodes/types/types';
-import { unset } from 'lodash-es';
-import {
-  DynamicPromptInvocation,
-  IterateInvocation,
-  MetadataAccumulatorInvocation,
-  NoiseInvocation,
-  RandomIntInvocation,
-  RangeOfSizeInvocation,
-} from 'services/api/types';
-import {
-  DYNAMIC_PROMPT,
-  ITERATE,
-  METADATA_ACCUMULATOR,
-  NOISE,
-  POSITIVE_CONDITIONING,
-  RANDOM_INT,
-  RANGE_OF_SIZE,
-} from './constants';
-
-export const addDynamicPromptsToGraph = (
-  state: RootState,
-  graph: NonNullableGraph
-): void => {
-  const { positivePrompt, iterations, seed, shouldRandomizeSeed } =
-    state.generation;
-
-  const {
-    combinatorial,
-    isEnabled: isDynamicPromptsEnabled,
-    maxPrompts,
-  } = state.dynamicPrompts;
-
-  const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as
-    | MetadataAccumulatorInvocation
-    | undefined;
-
-  if (isDynamicPromptsEnabled) {
-    // iteration is handled via dynamic prompts
-    unset(graph.nodes[POSITIVE_CONDITIONING], 'prompt');
-
-    const dynamicPromptNode: DynamicPromptInvocation = {
-      id: DYNAMIC_PROMPT,
-      type: 'dynamic_prompt',
-      is_intermediate: true,
-      max_prompts: combinatorial ? maxPrompts : iterations,
-      combinatorial,
-      prompt: positivePrompt,
-    };
-
-    const iterateNode: IterateInvocation = {
-      id: ITERATE,
-      type: 'iterate',
-      is_intermediate: true,
-    };
-
-    graph.nodes[DYNAMIC_PROMPT] = dynamicPromptNode;
-    graph.nodes[ITERATE] = iterateNode;
-
-    // connect dynamic prompts to compel nodes
-    graph.edges.push(
-      {
-        source: {
-          node_id: DYNAMIC_PROMPT,
-          field: 'collection',
-        },
-        destination: {
-          node_id: ITERATE,
-          field: 'collection',
-        },
-      },
-      {
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: POSITIVE_CONDITIONING,
-          field: 'prompt',
-        },
-      }
-    );
-
-    // hook up positive prompt to metadata
-    if (metadataAccumulator) {
-      graph.edges.push({
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: METADATA_ACCUMULATOR,
-          field: 'positive_prompt',
-        },
-      });
-    }
-
-    if (shouldRandomizeSeed) {
-      // Random int node to generate the starting seed
-      const randomIntNode: RandomIntInvocation = {
-        id: RANDOM_INT,
-        type: 'rand_int',
-        is_intermediate: true,
-      };
-
-      graph.nodes[RANDOM_INT] = randomIntNode;
-
-      // Connect random int to the start of the range of size so the range starts on the random first seed
-      graph.edges.push({
-        source: { node_id: RANDOM_INT, field: 'value' },
-        destination: { node_id: NOISE, field: 'seed' },
-      });
-
-      if (metadataAccumulator) {
-        graph.edges.push({
-          source: { node_id: RANDOM_INT, field: 'value' },
-          destination: { node_id: METADATA_ACCUMULATOR, field: 'seed' },
-        });
-      }
-    } else {
-      // User specified seed, so set the start of the range of size to the seed
-      (graph.nodes[NOISE] as NoiseInvocation).seed = seed;
-
-      // hook up seed to metadata
-      if (metadataAccumulator) {
-        metadataAccumulator.seed = seed;
-      }
-    }
-  } else {
-    // no dynamic prompt - hook up positive prompt
-    if (metadataAccumulator) {
-      metadataAccumulator.positive_prompt = positivePrompt;
-    }
-
-    const rangeOfSizeNode: RangeOfSizeInvocation = {
-      id: RANGE_OF_SIZE,
-      type: 'range_of_size',
-      is_intermediate: true,
-      size: iterations,
-      step: 1,
-    };
-
-    const iterateNode: IterateInvocation = {
-      id: ITERATE,
-      type: 'iterate',
-      is_intermediate: true,
-    };
-
-    graph.nodes[ITERATE] = iterateNode;
-    graph.nodes[RANGE_OF_SIZE] = rangeOfSizeNode;
-
-    graph.edges.push({
-      source: {
-        node_id: RANGE_OF_SIZE,
-        field: 'collection',
-      },
-      destination: {
-        node_id: ITERATE,
-        field: 'collection',
-      },
-    });
-
-    graph.edges.push({
-      source: {
-        node_id: ITERATE,
-        field: 'item',
-      },
-      destination: {
-        node_id: NOISE,
-        field: 'seed',
-      },
-    });
-
-    // hook up seed to metadata
-    if (metadataAccumulator) {
-      graph.edges.push({
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: METADATA_ACCUMULATOR,
-          field: 'seed',
-        },
-      });
-    }
-    // handle seed
-    if (shouldRandomizeSeed) {
-      // Random int node to generate the starting seed
-      const randomIntNode: RandomIntInvocation = {
-        id: RANDOM_INT,
-        type: 'rand_int',
-        is_intermediate: true,
-      };
-
-      graph.nodes[RANDOM_INT] = randomIntNode;
-
-      // Connect random int to the start of the range of size so the range starts on the random first seed
-      graph.edges.push({
-        source: { node_id: RANDOM_INT, field: 'value' },
-        destination: { node_id: RANGE_OF_SIZE, field: 'start' },
-      });
-    } else {
-      // User specified seed, so set the start of the range of size to the seed
-      rangeOfSizeNode.start = seed;
-    }
-  }
-};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts
index 3291348d0a..94fddccc8f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts
@@ -1,46 +1,32 @@
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
-import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import {
   ImageNSFWBlurInvocation,
   LatentsToImageInvocation,
-  MetadataAccumulatorInvocation,
 } from 'services/api/types';
-import {
-  LATENTS_TO_IMAGE,
-  METADATA_ACCUMULATOR,
-  NSFW_CHECKER,
-} from './constants';
+import { LATENTS_TO_IMAGE, NSFW_CHECKER } from './constants';
 
 export const addNSFWCheckerToGraph = (
   state: RootState,
   graph: NonNullableGraph,
   nodeIdToAddTo = LATENTS_TO_IMAGE
 ): void => {
-  const activeTabName = activeTabNameSelector(state);
-
-  const is_intermediate =
-    activeTabName === 'unifiedCanvas' ? !state.canvas.shouldAutoSave : false;
-
   const nodeToAddTo = graph.nodes[nodeIdToAddTo] as
     | LatentsToImageInvocation
     | undefined;
 
-  const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as
-    | MetadataAccumulatorInvocation
-    | undefined;
-
   if (!nodeToAddTo) {
     // something has gone terribly awry
     return;
   }
 
   nodeToAddTo.is_intermediate = true;
+  nodeToAddTo.use_cache = true;
 
   const nsfwCheckerNode: ImageNSFWBlurInvocation = {
     id: NSFW_CHECKER,
     type: 'img_nsfw',
-    is_intermediate,
+    is_intermediate: true,
   };
 
   graph.nodes[NSFW_CHECKER] = nsfwCheckerNode as ImageNSFWBlurInvocation;
@@ -54,17 +40,4 @@ export const addNSFWCheckerToGraph = (
       field: 'image',
     },
   });
-
-  if (metadataAccumulator) {
-    graph.edges.push({
-      source: {
-        node_id: METADATA_ACCUMULATOR,
-        field: 'metadata',
-      },
-      destination: {
-        node_id: NSFW_CHECKER,
-        field: 'metadata',
-      },
-    });
-  }
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index 0daca1f310..6bd44db197 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -25,7 +25,7 @@ import {
   SDXL_REFINER_POSITIVE_CONDITIONING,
   SDXL_REFINER_SEAMLESS,
 } from './constants';
-import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt';
 
 export const addSDXLRefinerToGraph = (
   state: RootState,
@@ -78,8 +78,8 @@ export const addSDXLRefinerToGraph = (
     : SDXL_MODEL_LOADER;
 
   // Construct Style Prompt
-  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
-    craftSDXLStylePrompt(state, true);
+  const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
+    buildSDXLStylePrompts(state, true);
 
   // Unplug SDXL Latents Generation To Latents To Image
   graph.edges = graph.edges.filter(
@@ -100,13 +100,13 @@ export const addSDXLRefinerToGraph = (
   graph.nodes[SDXL_REFINER_POSITIVE_CONDITIONING] = {
     type: 'sdxl_refiner_compel_prompt',
     id: SDXL_REFINER_POSITIVE_CONDITIONING,
-    style: craftedPositiveStylePrompt,
+    style: joinedPositiveStylePrompt,
     aesthetic_score: refinerPositiveAestheticScore,
   };
   graph.nodes[SDXL_REFINER_NEGATIVE_CONDITIONING] = {
     type: 'sdxl_refiner_compel_prompt',
     id: SDXL_REFINER_NEGATIVE_CONDITIONING,
-    style: craftedNegativeStylePrompt,
+    style: joinedNegativeStylePrompt,
     aesthetic_score: refinerNegativeAestheticScore,
   };
   graph.nodes[SDXL_REFINER_DENOISE_LATENTS] = {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts
new file mode 100644
index 0000000000..43d1a19f81
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts
@@ -0,0 +1,92 @@
+import { NonNullableGraph } from 'features/nodes/types/types';
+import {
+  CANVAS_OUTPUT,
+  LATENTS_TO_IMAGE,
+  METADATA_ACCUMULATOR,
+  NSFW_CHECKER,
+  SAVE_IMAGE,
+  WATERMARKER,
+} from './constants';
+import {
+  MetadataAccumulatorInvocation,
+  SaveImageInvocation,
+} from 'services/api/types';
+import { RootState } from 'app/store/store';
+import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+
+/**
+ * Set the `use_cache` field on the linear/canvas graph's final image output node to False.
+ */
+export const addSaveImageNode = (
+  state: RootState,
+  graph: NonNullableGraph
+): void => {
+  const activeTabName = activeTabNameSelector(state);
+  const is_intermediate =
+    activeTabName === 'unifiedCanvas' ? !state.canvas.shouldAutoSave : false;
+
+  const saveImageNode: SaveImageInvocation = {
+    id: SAVE_IMAGE,
+    type: 'save_image',
+    is_intermediate,
+    use_cache: false,
+  };
+
+  graph.nodes[SAVE_IMAGE] = saveImageNode;
+
+  const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as
+    | MetadataAccumulatorInvocation
+    | undefined;
+
+  if (metadataAccumulator) {
+    graph.edges.push({
+      source: {
+        node_id: METADATA_ACCUMULATOR,
+        field: 'metadata',
+      },
+      destination: {
+        node_id: SAVE_IMAGE,
+        field: 'metadata',
+      },
+    });
+  }
+
+  const destination = {
+    node_id: SAVE_IMAGE,
+    field: 'image',
+  };
+
+  if (WATERMARKER in graph.nodes) {
+    graph.edges.push({
+      source: {
+        node_id: WATERMARKER,
+        field: 'image',
+      },
+      destination,
+    });
+  } else if (NSFW_CHECKER in graph.nodes) {
+    graph.edges.push({
+      source: {
+        node_id: NSFW_CHECKER,
+        field: 'image',
+      },
+      destination,
+    });
+  } else if (CANVAS_OUTPUT in graph.nodes) {
+    graph.edges.push({
+      source: {
+        node_id: CANVAS_OUTPUT,
+        field: 'image',
+      },
+      destination,
+    });
+  } else if (LATENTS_TO_IMAGE in graph.nodes) {
+    graph.edges.push({
+      source: {
+        node_id: LATENTS_TO_IMAGE,
+        field: 'image',
+      },
+      destination,
+    });
+  }
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts
index f2e8a0aeca..4e515906b6 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts
@@ -51,6 +51,7 @@ export const addWatermarkerToGraph = (
 
   // no matter the situation, we want the l2i node to be intermediate
   nodeToAddTo.is_intermediate = true;
+  nodeToAddTo.use_cache = true;
 
   if (nsfwCheckerNode) {
     // if we are using NSFW checker, we need to "disable" it output by marking it intermediate,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts
index 10e3ba5152..9c53227ead 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts
@@ -1,7 +1,11 @@
 import { NonNullableGraph } from 'features/nodes/types/types';
 import { ESRGANModelName } from 'features/parameters/store/postprocessingSlice';
-import { Graph, ESRGANInvocation } from 'services/api/types';
-import { REALESRGAN as ESRGAN } from './constants';
+import {
+  Graph,
+  ESRGANInvocation,
+  SaveImageInvocation,
+} from 'services/api/types';
+import { REALESRGAN as ESRGAN, SAVE_IMAGE } from './constants';
 
 type Arg = {
   image_name: string;
@@ -17,15 +21,33 @@ export const buildAdHocUpscaleGraph = ({
     type: 'esrgan',
     image: { image_name },
     model_name: esrganModelName,
-    is_intermediate: false,
+    is_intermediate: true,
+  };
+
+  const saveImageNode: SaveImageInvocation = {
+    id: SAVE_IMAGE,
+    type: 'save_image',
+    use_cache: false,
   };
 
   const graph: NonNullableGraph = {
     id: `adhoc-esrgan-graph`,
     nodes: {
       [ESRGAN]: realesrganNode,
+      [SAVE_IMAGE]: saveImageNode,
     },
-    edges: [],
+    edges: [
+      {
+        source: {
+          node_id: ESRGAN,
+          field: 'image',
+        },
+        destination: {
+          node_id: SAVE_IMAGE,
+          field: 'image',
+        },
+      },
+    ],
   };
 
   return graph;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index 4d733b9c73..e7707d6e8a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -4,10 +4,10 @@ import { NonNullableGraph } from 'features/nodes/types/types';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { ImageDTO, ImageToLatentsInvocation } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
-import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -41,6 +41,7 @@ export const buildCanvasImageToImageGraph = (
     model,
     cfgScale: cfg_scale,
     scheduler,
+    seed,
     steps,
     img2imgStrength: strength,
     vaePrecision,
@@ -54,14 +55,10 @@ export const buildCanvasImageToImageGraph = (
   // The bounding box determines width and height, not the width and height params
   const { width, height } = state.canvas.boundingBoxDimensions;
 
-  const {
-    scaledBoundingBoxDimensions,
-    boundingBoxScaleMethod,
-    shouldAutoSave,
-  } = state.canvas;
+  const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas;
 
   const fp32 = vaePrecision === 'fp32';
-
+  const is_intermediate = true;
   const isUsingScaledDimensions = ['auto', 'manual'].includes(
     boundingBoxScaleMethod
   );
@@ -93,32 +90,33 @@ export const buildCanvasImageToImageGraph = (
       [modelLoaderNodeId]: {
         type: 'main_model_loader',
         id: modelLoaderNodeId,
-        is_intermediate: true,
+        is_intermediate,
         model,
       },
       [CLIP_SKIP]: {
         type: 'clip_skip',
         id: CLIP_SKIP,
-        is_intermediate: true,
+        is_intermediate,
         skipped_layers: clipSkip,
       },
       [POSITIVE_CONDITIONING]: {
         type: 'compel',
         id: POSITIVE_CONDITIONING,
-        is_intermediate: true,
+        is_intermediate,
         prompt: positivePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'compel',
         id: NEGATIVE_CONDITIONING,
-        is_intermediate: true,
+        is_intermediate,
         prompt: negativePrompt,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
-        is_intermediate: true,
+        is_intermediate,
         use_cpu,
+        seed,
         width: !isUsingScaledDimensions
           ? width
           : scaledBoundingBoxDimensions.width,
@@ -129,12 +127,12 @@ export const buildCanvasImageToImageGraph = (
       [IMAGE_TO_LATENTS]: {
         type: 'i2l',
         id: IMAGE_TO_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
       },
       [DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: DENOISE_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         cfg_scale,
         scheduler,
         steps,
@@ -144,7 +142,7 @@ export const buildCanvasImageToImageGraph = (
       [CANVAS_OUTPUT]: {
         type: 'l2i',
         id: CANVAS_OUTPUT,
-        is_intermediate: !shouldAutoSave,
+        is_intermediate,
       },
     },
     edges: [
@@ -239,7 +237,7 @@ export const buildCanvasImageToImageGraph = (
     graph.nodes[IMG2IMG_RESIZE] = {
       id: IMG2IMG_RESIZE,
       type: 'img_resize',
-      is_intermediate: true,
+      is_intermediate,
       image: initialImage,
       width: scaledBoundingBoxDimensions.width,
       height: scaledBoundingBoxDimensions.height,
@@ -247,13 +245,13 @@ export const buildCanvasImageToImageGraph = (
     graph.nodes[LATENTS_TO_IMAGE] = {
       id: LATENTS_TO_IMAGE,
       type: 'l2i',
-      is_intermediate: true,
+      is_intermediate,
       fp32,
     };
     graph.nodes[CANVAS_OUTPUT] = {
       id: CANVAS_OUTPUT,
       type: 'img_resize',
-      is_intermediate: !shouldAutoSave,
+      is_intermediate,
       width: width,
       height: height,
     };
@@ -294,7 +292,7 @@ export const buildCanvasImageToImageGraph = (
     graph.nodes[CANVAS_OUTPUT] = {
       type: 'l2i',
       id: CANVAS_OUTPUT,
-      is_intermediate: !shouldAutoSave,
+      is_intermediate,
       fp32,
     };
 
@@ -323,10 +321,10 @@ export const buildCanvasImageToImageGraph = (
     height: !isUsingScaledDimensions
       ? height
       : scaledBoundingBoxDimensions.height,
-    positive_prompt: '', // set in addDynamicPromptsToGraph
+    positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
     model,
-    seed: 0, // set in addDynamicPromptsToGraph
+    seed,
     steps,
     rand_device: use_cpu ? 'cpu' : 'cuda',
     scheduler,
@@ -338,17 +336,6 @@ export const buildCanvasImageToImageGraph = (
     init_image: initialImage.image_name,
   };
 
-  graph.edges.push({
-    source: {
-      node_id: METADATA_ACCUMULATOR,
-      field: 'metadata',
-    },
-    destination: {
-      node_id: CANVAS_OUTPUT,
-      field: 'metadata',
-    },
-  });
-
   // Add Seamless To Graph
   if (seamlessXAxis || seamlessYAxis) {
     addSeamlessToLinearGraph(state, graph, modelLoaderNodeId);
@@ -361,9 +348,6 @@ export const buildCanvasImageToImageGraph = (
   // optionally add custom VAE
   addVAEToGraph(state, graph, modelLoaderNodeId);
 
-  // add dynamic prompts - also sets up core iteration and seed
-  addDynamicPromptsToGraph(state, graph);
-
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
@@ -381,5 +365,7 @@ export const buildCanvasImageToImageGraph = (
     addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 36a17c34e5..7117af5177 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -8,8 +8,6 @@ import {
   ImageToLatentsInvocation,
   MaskEdgeInvocation,
   NoiseInvocation,
-  RandomIntInvocation,
-  RangeOfSizeInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
@@ -32,7 +30,6 @@ import {
   INPAINT_IMAGE,
   INPAINT_IMAGE_RESIZE_DOWN,
   INPAINT_IMAGE_RESIZE_UP,
-  ITERATE,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
   MASK_BLUR,
@@ -41,10 +38,9 @@ import {
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
-  RANDOM_INT,
-  RANGE_OF_SIZE,
   SEAMLESS,
 } from './constants';
+import { addSaveImageNode } from './addSaveImageNode';
 
 /**
  * Builds the Canvas tab's Inpaint graph.
@@ -63,9 +59,7 @@ export const buildCanvasInpaintGraph = (
     scheduler,
     steps,
     img2imgStrength: strength,
-    iterations,
     seed,
-    shouldRandomizeSeed,
     vaePrecision,
     shouldUseNoiseSettings,
     shouldUseCpuNoise,
@@ -88,12 +82,8 @@ export const buildCanvasInpaintGraph = (
   const { width, height } = state.canvas.boundingBoxDimensions;
 
   // We may need to set the inpaint width and height to scale the image
-  const {
-    scaledBoundingBoxDimensions,
-    boundingBoxScaleMethod,
-    shouldAutoSave,
-  } = state.canvas;
-
+  const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas;
+  const is_intermediate = true;
   const fp32 = vaePrecision === 'fp32';
 
   const isUsingScaledDimensions = ['auto', 'manual'].includes(
@@ -112,56 +102,57 @@ export const buildCanvasInpaintGraph = (
       [modelLoaderNodeId]: {
         type: 'main_model_loader',
         id: modelLoaderNodeId,
-        is_intermediate: true,
+        is_intermediate,
         model,
       },
       [CLIP_SKIP]: {
         type: 'clip_skip',
         id: CLIP_SKIP,
-        is_intermediate: true,
+        is_intermediate,
         skipped_layers: clipSkip,
       },
       [POSITIVE_CONDITIONING]: {
         type: 'compel',
         id: POSITIVE_CONDITIONING,
-        is_intermediate: true,
+        is_intermediate,
         prompt: positivePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'compel',
         id: NEGATIVE_CONDITIONING,
-        is_intermediate: true,
+        is_intermediate,
         prompt: negativePrompt,
       },
       [MASK_BLUR]: {
         type: 'img_blur',
         id: MASK_BLUR,
-        is_intermediate: true,
+        is_intermediate,
         radius: maskBlur,
         blur_type: maskBlurMethod,
       },
       [INPAINT_IMAGE]: {
         type: 'i2l',
         id: INPAINT_IMAGE,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
         use_cpu,
-        is_intermediate: true,
+        seed,
+        is_intermediate,
       },
       [INPAINT_CREATE_MASK]: {
         type: 'create_denoise_mask',
         id: INPAINT_CREATE_MASK,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: DENOISE_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         steps: steps,
         cfg_scale: cfg_scale,
         scheduler: scheduler,
@@ -170,20 +161,21 @@ export const buildCanvasInpaintGraph = (
       },
       [CANVAS_COHERENCE_NOISE]: {
         type: 'noise',
-        id: NOISE,
+        id: CANVAS_COHERENCE_NOISE,
         use_cpu,
-        is_intermediate: true,
+        seed: seed + 1,
+        is_intermediate,
       },
       [CANVAS_COHERENCE_NOISE_INCREMENT]: {
         type: 'add',
         id: CANVAS_COHERENCE_NOISE_INCREMENT,
         b: 1,
-        is_intermediate: true,
+        is_intermediate,
       },
       [CANVAS_COHERENCE_DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: CANVAS_COHERENCE_DENOISE_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         steps: canvasCoherenceSteps,
         cfg_scale: cfg_scale,
         scheduler: scheduler,
@@ -193,29 +185,15 @@ export const buildCanvasInpaintGraph = (
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [CANVAS_OUTPUT]: {
         type: 'color_correct',
         id: CANVAS_OUTPUT,
-        is_intermediate: !shouldAutoSave,
+        is_intermediate,
         reference: canvasInitImage,
       },
-      [RANGE_OF_SIZE]: {
-        type: 'range_of_size',
-        id: RANGE_OF_SIZE,
-        is_intermediate: true,
-        // seed - must be connected manually
-        // start: 0,
-        size: iterations,
-        step: 1,
-      },
-      [ITERATE]: {
-        type: 'iterate',
-        id: ITERATE,
-        is_intermediate: true,
-      },
     },
     edges: [
       // Connect Model Loader to CLIP Skip and UNet
@@ -322,48 +300,7 @@ export const buildCanvasInpaintGraph = (
           field: 'denoise_mask',
         },
       },
-      // Iterate
-      {
-        source: {
-          node_id: RANGE_OF_SIZE,
-          field: 'collection',
-        },
-        destination: {
-          node_id: ITERATE,
-          field: 'collection',
-        },
-      },
-      {
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: NOISE,
-          field: 'seed',
-        },
-      },
       // Canvas Refine
-      {
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: CANVAS_COHERENCE_NOISE_INCREMENT,
-          field: 'a',
-        },
-      },
-      {
-        source: {
-          node_id: CANVAS_COHERENCE_NOISE_INCREMENT,
-          field: 'value',
-        },
-        destination: {
-          node_id: CANVAS_COHERENCE_NOISE,
-          field: 'seed',
-        },
-      },
       {
         source: {
           node_id: modelLoaderNodeId,
@@ -437,7 +374,7 @@ export const buildCanvasInpaintGraph = (
     graph.nodes[INPAINT_IMAGE_RESIZE_UP] = {
       type: 'img_resize',
       id: INPAINT_IMAGE_RESIZE_UP,
-      is_intermediate: true,
+      is_intermediate,
       width: scaledWidth,
       height: scaledHeight,
       image: canvasInitImage,
@@ -445,7 +382,7 @@ export const buildCanvasInpaintGraph = (
     graph.nodes[MASK_RESIZE_UP] = {
       type: 'img_resize',
       id: MASK_RESIZE_UP,
-      is_intermediate: true,
+      is_intermediate,
       width: scaledWidth,
       height: scaledHeight,
       image: canvasMaskImage,
@@ -453,14 +390,14 @@ export const buildCanvasInpaintGraph = (
     graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = {
       type: 'img_resize',
       id: INPAINT_IMAGE_RESIZE_DOWN,
-      is_intermediate: true,
+      is_intermediate,
       width: width,
       height: height,
     };
     graph.nodes[MASK_RESIZE_DOWN] = {
       type: 'img_resize',
       id: MASK_RESIZE_DOWN,
-      is_intermediate: true,
+      is_intermediate,
       width: width,
       height: height,
     };
@@ -598,7 +535,7 @@ export const buildCanvasInpaintGraph = (
     graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = {
       type: 'create_denoise_mask',
       id: CANVAS_COHERENCE_INPAINT_CREATE_MASK,
-      is_intermediate: true,
+      is_intermediate,
       fp32,
     };
 
@@ -651,7 +588,7 @@ export const buildCanvasInpaintGraph = (
       graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = {
         type: 'mask_edge',
         id: CANVAS_COHERENCE_MASK_EDGE,
-        is_intermediate: true,
+        is_intermediate,
         edge_blur: maskBlur,
         edge_size: maskBlur * 2,
         low_threshold: 100,
@@ -702,26 +639,6 @@ export const buildCanvasInpaintGraph = (
     });
   }
 
-  // Handle Seed
-  if (shouldRandomizeSeed) {
-    // Random int node to generate the starting seed
-    const randomIntNode: RandomIntInvocation = {
-      id: RANDOM_INT,
-      type: 'rand_int',
-    };
-
-    graph.nodes[RANDOM_INT] = randomIntNode;
-
-    // Connect random int to the start of the range of size so the range starts on the random first seed
-    graph.edges.push({
-      source: { node_id: RANDOM_INT, field: 'value' },
-      destination: { node_id: RANGE_OF_SIZE, field: 'start' },
-    });
-  } else {
-    // User specified seed, so set the start of the range of size to the seed
-    (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
-  }
-
   // Add Seamless To Graph
   if (seamlessXAxis || seamlessYAxis) {
     addSeamlessToLinearGraph(state, graph, modelLoaderNodeId);
@@ -751,5 +668,7 @@ export const buildCanvasInpaintGraph = (
     addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index ae5a9b066a..2449d1ea4b 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -7,13 +7,12 @@ import {
   InfillPatchMatchInvocation,
   InfillTileInvocation,
   NoiseInvocation,
-  RandomIntInvocation,
-  RangeOfSizeInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -33,7 +32,6 @@ import {
   INPAINT_IMAGE_RESIZE_UP,
   INPAINT_INFILL,
   INPAINT_INFILL_RESIZE_DOWN,
-  ITERATE,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
   MASK_COMBINE,
@@ -43,8 +41,6 @@ import {
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
-  RANDOM_INT,
-  RANGE_OF_SIZE,
   SEAMLESS,
 } from './constants';
 
@@ -65,9 +61,7 @@ export const buildCanvasOutpaintGraph = (
     scheduler,
     steps,
     img2imgStrength: strength,
-    iterations,
     seed,
-    shouldRandomizeSeed,
     vaePrecision,
     shouldUseNoiseSettings,
     shouldUseCpuNoise,
@@ -92,14 +86,10 @@ export const buildCanvasOutpaintGraph = (
   const { width, height } = state.canvas.boundingBoxDimensions;
 
   // We may need to set the inpaint width and height to scale the image
-  const {
-    scaledBoundingBoxDimensions,
-    boundingBoxScaleMethod,
-    shouldAutoSave,
-  } = state.canvas;
+  const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas;
 
   const fp32 = vaePrecision === 'fp32';
-
+  const is_intermediate = true;
   const isUsingScaledDimensions = ['auto', 'manual'].includes(
     boundingBoxScaleMethod
   );
@@ -116,61 +106,62 @@ export const buildCanvasOutpaintGraph = (
       [modelLoaderNodeId]: {
         type: 'main_model_loader',
         id: modelLoaderNodeId,
-        is_intermediate: true,
+        is_intermediate,
         model,
       },
       [CLIP_SKIP]: {
         type: 'clip_skip',
         id: CLIP_SKIP,
-        is_intermediate: true,
+        is_intermediate,
         skipped_layers: clipSkip,
       },
       [POSITIVE_CONDITIONING]: {
         type: 'compel',
         id: POSITIVE_CONDITIONING,
-        is_intermediate: true,
+        is_intermediate,
         prompt: positivePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'compel',
         id: NEGATIVE_CONDITIONING,
-        is_intermediate: true,
+        is_intermediate,
         prompt: negativePrompt,
       },
       [MASK_FROM_ALPHA]: {
         type: 'tomask',
         id: MASK_FROM_ALPHA,
-        is_intermediate: true,
+        is_intermediate,
         image: canvasInitImage,
       },
       [MASK_COMBINE]: {
         type: 'mask_combine',
         id: MASK_COMBINE,
-        is_intermediate: true,
+        is_intermediate,
         mask2: canvasMaskImage,
       },
       [INPAINT_IMAGE]: {
         type: 'i2l',
         id: INPAINT_IMAGE,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
         use_cpu,
-        is_intermediate: true,
+        seed,
+        is_intermediate,
       },
       [INPAINT_CREATE_MASK]: {
         type: 'create_denoise_mask',
         id: INPAINT_CREATE_MASK,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: DENOISE_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         steps: steps,
         cfg_scale: cfg_scale,
         scheduler: scheduler,
@@ -179,20 +170,21 @@ export const buildCanvasOutpaintGraph = (
       },
       [CANVAS_COHERENCE_NOISE]: {
         type: 'noise',
-        id: NOISE,
+        id: CANVAS_COHERENCE_NOISE,
         use_cpu,
-        is_intermediate: true,
+        seed: seed + 1,
+        is_intermediate,
       },
       [CANVAS_COHERENCE_NOISE_INCREMENT]: {
         type: 'add',
         id: CANVAS_COHERENCE_NOISE_INCREMENT,
         b: 1,
-        is_intermediate: true,
+        is_intermediate,
       },
       [CANVAS_COHERENCE_DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: CANVAS_COHERENCE_DENOISE_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         steps: canvasCoherenceSteps,
         cfg_scale: cfg_scale,
         scheduler: scheduler,
@@ -202,27 +194,13 @@ export const buildCanvasOutpaintGraph = (
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [CANVAS_OUTPUT]: {
         type: 'color_correct',
         id: CANVAS_OUTPUT,
-        is_intermediate: !shouldAutoSave,
-      },
-      [RANGE_OF_SIZE]: {
-        type: 'range_of_size',
-        id: RANGE_OF_SIZE,
-        is_intermediate: true,
-        // seed - must be connected manually
-        // start: 0,
-        size: iterations,
-        step: 1,
-      },
-      [ITERATE]: {
-        type: 'iterate',
-        id: ITERATE,
-        is_intermediate: true,
+        is_intermediate,
       },
     },
     edges: [
@@ -352,48 +330,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'denoise_mask',
         },
       },
-      // Iterate
-      {
-        source: {
-          node_id: RANGE_OF_SIZE,
-          field: 'collection',
-        },
-        destination: {
-          node_id: ITERATE,
-          field: 'collection',
-        },
-      },
-      {
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: NOISE,
-          field: 'seed',
-        },
-      },
       // Canvas Refine
-      {
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: CANVAS_COHERENCE_NOISE_INCREMENT,
-          field: 'a',
-        },
-      },
-      {
-        source: {
-          node_id: CANVAS_COHERENCE_NOISE_INCREMENT,
-          field: 'value',
-        },
-        destination: {
-          node_id: CANVAS_COHERENCE_NOISE,
-          field: 'seed',
-        },
-      },
       {
         source: {
           node_id: modelLoaderNodeId,
@@ -473,7 +410,7 @@ export const buildCanvasOutpaintGraph = (
     graph.nodes[INPAINT_INFILL] = {
       type: 'infill_patchmatch',
       id: INPAINT_INFILL,
-      is_intermediate: true,
+      is_intermediate,
       downscale: infillPatchmatchDownscaleSize,
     };
   }
@@ -482,7 +419,7 @@ export const buildCanvasOutpaintGraph = (
     graph.nodes[INPAINT_INFILL] = {
       type: 'infill_lama',
       id: INPAINT_INFILL,
-      is_intermediate: true,
+      is_intermediate,
     };
   }
 
@@ -490,7 +427,7 @@ export const buildCanvasOutpaintGraph = (
     graph.nodes[INPAINT_INFILL] = {
       type: 'infill_cv2',
       id: INPAINT_INFILL,
-      is_intermediate: true,
+      is_intermediate,
     };
   }
 
@@ -498,7 +435,7 @@ export const buildCanvasOutpaintGraph = (
     graph.nodes[INPAINT_INFILL] = {
       type: 'infill_tile',
       id: INPAINT_INFILL,
-      is_intermediate: true,
+      is_intermediate,
       tile_size: infillTileSize,
     };
   }
@@ -512,7 +449,7 @@ export const buildCanvasOutpaintGraph = (
     graph.nodes[INPAINT_IMAGE_RESIZE_UP] = {
       type: 'img_resize',
       id: INPAINT_IMAGE_RESIZE_UP,
-      is_intermediate: true,
+      is_intermediate,
       width: scaledWidth,
       height: scaledHeight,
       image: canvasInitImage,
@@ -520,28 +457,28 @@ export const buildCanvasOutpaintGraph = (
     graph.nodes[MASK_RESIZE_UP] = {
       type: 'img_resize',
       id: MASK_RESIZE_UP,
-      is_intermediate: true,
+      is_intermediate,
       width: scaledWidth,
       height: scaledHeight,
     };
     graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = {
       type: 'img_resize',
       id: INPAINT_IMAGE_RESIZE_DOWN,
-      is_intermediate: true,
+      is_intermediate,
       width: width,
       height: height,
     };
     graph.nodes[INPAINT_INFILL_RESIZE_DOWN] = {
       type: 'img_resize',
       id: INPAINT_INFILL_RESIZE_DOWN,
-      is_intermediate: true,
+      is_intermediate,
       width: width,
       height: height,
     };
     graph.nodes[MASK_RESIZE_DOWN] = {
       type: 'img_resize',
       id: MASK_RESIZE_DOWN,
-      is_intermediate: true,
+      is_intermediate,
       width: width,
       height: height,
     };
@@ -700,7 +637,7 @@ export const buildCanvasOutpaintGraph = (
     graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = {
       type: 'create_denoise_mask',
       id: CANVAS_COHERENCE_INPAINT_CREATE_MASK,
-      is_intermediate: true,
+      is_intermediate,
       fp32,
     };
 
@@ -747,7 +684,7 @@ export const buildCanvasOutpaintGraph = (
       graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = {
         type: 'mask_edge',
         id: CANVAS_COHERENCE_MASK_EDGE,
-        is_intermediate: true,
+        is_intermediate,
         edge_blur: maskBlur,
         edge_size: maskBlur * 2,
         low_threshold: 100,
@@ -804,26 +741,6 @@ export const buildCanvasOutpaintGraph = (
     });
   }
 
-  // Handle Seed
-  if (shouldRandomizeSeed) {
-    // Random int node to generate the starting seed
-    const randomIntNode: RandomIntInvocation = {
-      id: RANDOM_INT,
-      type: 'rand_int',
-    };
-
-    graph.nodes[RANDOM_INT] = randomIntNode;
-
-    // Connect random int to the start of the range of size so the range starts on the random first seed
-    graph.edges.push({
-      source: { node_id: RANDOM_INT, field: 'value' },
-      destination: { node_id: RANGE_OF_SIZE, field: 'start' },
-    });
-  } else {
-    // User specified seed, so set the start of the range of size to the seed
-    (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
-  }
-
   // Add Seamless To Graph
   if (seamlessXAxis || seamlessYAxis) {
     addSeamlessToLinearGraph(state, graph, modelLoaderNodeId);
@@ -853,5 +770,7 @@ export const buildCanvasOutpaintGraph = (
     addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index 5cc5d567d0..35ea37f294 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -4,11 +4,11 @@ import { NonNullableGraph } from 'features/nodes/types/types';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { ImageDTO, ImageToLatentsInvocation } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
-import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -27,7 +27,7 @@ import {
   SDXL_REFINER_SEAMLESS,
   SEAMLESS,
 } from './constants';
-import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt';
 
 /**
  * Builds the Canvas tab's Image to Image graph.
@@ -43,6 +43,7 @@ export const buildCanvasSDXLImageToImageGraph = (
     model,
     cfgScale: cfg_scale,
     scheduler,
+    seed,
     steps,
     vaePrecision,
     clipSkip,
@@ -56,20 +57,15 @@ export const buildCanvasSDXLImageToImageGraph = (
     shouldUseSDXLRefiner,
     refinerStart,
     sdxlImg2ImgDenoisingStrength: strength,
-    shouldConcatSDXLStylePrompt,
   } = state.sdxl;
 
   // The bounding box determines width and height, not the width and height params
   const { width, height } = state.canvas.boundingBoxDimensions;
 
-  const {
-    scaledBoundingBoxDimensions,
-    boundingBoxScaleMethod,
-    shouldAutoSave,
-  } = state.canvas;
+  const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas;
 
   const fp32 = vaePrecision === 'fp32';
-
+  const is_intermediate = true;
   const isUsingScaledDimensions = ['auto', 'manual'].includes(
     boundingBoxScaleMethod
   );
@@ -87,8 +83,8 @@ export const buildCanvasSDXLImageToImageGraph = (
     : initialGenerationState.shouldUseCpuNoise;
 
   // Construct Style Prompt
-  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
-    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+  const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
+    buildSDXLStylePrompts(state);
 
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
@@ -112,19 +108,20 @@ export const buildCanvasSDXLImageToImageGraph = (
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        style: craftedPositiveStylePrompt,
+        style: joinedPositiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        style: craftedNegativeStylePrompt,
+        style: joinedNegativeStylePrompt,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
-        is_intermediate: true,
+        is_intermediate,
         use_cpu,
+        seed,
         width: !isUsingScaledDimensions
           ? width
           : scaledBoundingBoxDimensions.width,
@@ -135,13 +132,13 @@ export const buildCanvasSDXLImageToImageGraph = (
       [IMAGE_TO_LATENTS]: {
         type: 'i2l',
         id: IMAGE_TO_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [SDXL_DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: SDXL_DENOISE_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         cfg_scale,
         scheduler,
         steps,
@@ -252,7 +249,7 @@ export const buildCanvasSDXLImageToImageGraph = (
     graph.nodes[IMG2IMG_RESIZE] = {
       id: IMG2IMG_RESIZE,
       type: 'img_resize',
-      is_intermediate: true,
+      is_intermediate,
       image: initialImage,
       width: scaledBoundingBoxDimensions.width,
       height: scaledBoundingBoxDimensions.height,
@@ -260,13 +257,13 @@ export const buildCanvasSDXLImageToImageGraph = (
     graph.nodes[LATENTS_TO_IMAGE] = {
       id: LATENTS_TO_IMAGE,
       type: 'l2i',
-      is_intermediate: true,
+      is_intermediate,
       fp32,
     };
     graph.nodes[CANVAS_OUTPUT] = {
       id: CANVAS_OUTPUT,
       type: 'img_resize',
-      is_intermediate: !shouldAutoSave,
+      is_intermediate,
       width: width,
       height: height,
     };
@@ -307,7 +304,7 @@ export const buildCanvasSDXLImageToImageGraph = (
     graph.nodes[CANVAS_OUTPUT] = {
       type: 'l2i',
       id: CANVAS_OUTPUT,
-      is_intermediate: !shouldAutoSave,
+      is_intermediate,
       fp32,
     };
 
@@ -336,10 +333,10 @@ export const buildCanvasSDXLImageToImageGraph = (
     height: !isUsingScaledDimensions
       ? height
       : scaledBoundingBoxDimensions.height,
-    positive_prompt: '', // set in addDynamicPromptsToGraph
+    positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
     model,
-    seed: 0, // set in addDynamicPromptsToGraph
+    seed,
     steps,
     rand_device: use_cpu ? 'cpu' : 'cuda',
     scheduler,
@@ -387,9 +384,6 @@ export const buildCanvasSDXLImageToImageGraph = (
   // add LoRA support
   addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, modelLoaderNodeId);
 
-  // add dynamic prompts - also sets up core iteration and seed
-  addDynamicPromptsToGraph(state, graph);
-
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
@@ -407,5 +401,7 @@ export const buildCanvasSDXLImageToImageGraph = (
     addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index b5b765b19e..897c9093b5 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -8,13 +8,13 @@ import {
   ImageToLatentsInvocation,
   MaskEdgeInvocation,
   NoiseInvocation,
-  RandomIntInvocation,
-  RangeOfSizeInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -29,7 +29,6 @@ import {
   INPAINT_IMAGE,
   INPAINT_IMAGE_RESIZE_DOWN,
   INPAINT_IMAGE_RESIZE_UP,
-  ITERATE,
   LATENTS_TO_IMAGE,
   MASK_BLUR,
   MASK_RESIZE_DOWN,
@@ -37,16 +36,13 @@ import {
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
-  RANDOM_INT,
-  RANGE_OF_SIZE,
   SDXL_CANVAS_INPAINT_GRAPH,
   SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
   SDXL_REFINER_SEAMLESS,
   SEAMLESS,
 } from './constants';
-import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
-import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
+import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt';
 
 /**
  * Builds the Canvas tab's Inpaint graph.
@@ -64,9 +60,7 @@ export const buildCanvasSDXLInpaintGraph = (
     cfgScale: cfg_scale,
     scheduler,
     steps,
-    iterations,
     seed,
-    shouldRandomizeSeed,
     vaePrecision,
     shouldUseNoiseSettings,
     shouldUseCpuNoise,
@@ -83,7 +77,6 @@ export const buildCanvasSDXLInpaintGraph = (
     sdxlImg2ImgDenoisingStrength: strength,
     shouldUseSDXLRefiner,
     refinerStart,
-    shouldConcatSDXLStylePrompt,
   } = state.sdxl;
 
   if (!model) {
@@ -95,14 +88,10 @@ export const buildCanvasSDXLInpaintGraph = (
   const { width, height } = state.canvas.boundingBoxDimensions;
 
   // We may need to set the inpaint width and height to scale the image
-  const {
-    scaledBoundingBoxDimensions,
-    boundingBoxScaleMethod,
-    shouldAutoSave,
-  } = state.canvas;
+  const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas;
 
   const fp32 = vaePrecision === 'fp32';
-
+  const is_intermediate = true;
   const isUsingScaledDimensions = ['auto', 'manual'].includes(
     boundingBoxScaleMethod
   );
@@ -114,8 +103,8 @@ export const buildCanvasSDXLInpaintGraph = (
     : shouldUseCpuNoise;
 
   // Construct Style Prompt
-  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
-    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+  const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
+    buildSDXLStylePrompts(state);
 
   const graph: NonNullableGraph = {
     id: SDXL_CANVAS_INPAINT_GRAPH,
@@ -129,43 +118,44 @@ export const buildCanvasSDXLInpaintGraph = (
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        style: craftedPositiveStylePrompt,
+        style: joinedPositiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        style: craftedNegativeStylePrompt,
+        style: joinedNegativeStylePrompt,
       },
       [MASK_BLUR]: {
         type: 'img_blur',
         id: MASK_BLUR,
-        is_intermediate: true,
+        is_intermediate,
         radius: maskBlur,
         blur_type: maskBlurMethod,
       },
       [INPAINT_IMAGE]: {
         type: 'i2l',
         id: INPAINT_IMAGE,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
         use_cpu,
-        is_intermediate: true,
+        seed,
+        is_intermediate,
       },
       [INPAINT_CREATE_MASK]: {
         type: 'create_denoise_mask',
         id: INPAINT_CREATE_MASK,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [SDXL_DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: SDXL_DENOISE_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         steps: steps,
         cfg_scale: cfg_scale,
         scheduler: scheduler,
@@ -176,20 +166,21 @@ export const buildCanvasSDXLInpaintGraph = (
       },
       [CANVAS_COHERENCE_NOISE]: {
         type: 'noise',
-        id: NOISE,
+        id: CANVAS_COHERENCE_NOISE,
         use_cpu,
-        is_intermediate: true,
+        seed: seed + 1,
+        is_intermediate,
       },
       [CANVAS_COHERENCE_NOISE_INCREMENT]: {
         type: 'add',
         id: CANVAS_COHERENCE_NOISE_INCREMENT,
         b: 1,
-        is_intermediate: true,
+        is_intermediate,
       },
       [CANVAS_COHERENCE_DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: CANVAS_COHERENCE_DENOISE_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         steps: canvasCoherenceSteps,
         cfg_scale: cfg_scale,
         scheduler: scheduler,
@@ -199,29 +190,15 @@ export const buildCanvasSDXLInpaintGraph = (
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [CANVAS_OUTPUT]: {
         type: 'color_correct',
         id: CANVAS_OUTPUT,
-        is_intermediate: !shouldAutoSave,
+        is_intermediate,
         reference: canvasInitImage,
       },
-      [RANGE_OF_SIZE]: {
-        type: 'range_of_size',
-        id: RANGE_OF_SIZE,
-        is_intermediate: true,
-        // seed - must be connected manually
-        // start: 0,
-        size: iterations,
-        step: 1,
-      },
-      [ITERATE]: {
-        type: 'iterate',
-        id: ITERATE,
-        is_intermediate: true,
-      },
     },
     edges: [
       // Connect Model Loader to UNet and CLIP
@@ -337,48 +314,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'denoise_mask',
         },
       },
-      // Iterate
-      {
-        source: {
-          node_id: RANGE_OF_SIZE,
-          field: 'collection',
-        },
-        destination: {
-          node_id: ITERATE,
-          field: 'collection',
-        },
-      },
-      {
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: NOISE,
-          field: 'seed',
-        },
-      },
       // Canvas Refine
-      {
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: CANVAS_COHERENCE_NOISE_INCREMENT,
-          field: 'a',
-        },
-      },
-      {
-        source: {
-          node_id: CANVAS_COHERENCE_NOISE_INCREMENT,
-          field: 'value',
-        },
-        destination: {
-          node_id: CANVAS_COHERENCE_NOISE,
-          field: 'seed',
-        },
-      },
       {
         source: {
           node_id: modelLoaderNodeId,
@@ -452,7 +388,7 @@ export const buildCanvasSDXLInpaintGraph = (
     graph.nodes[INPAINT_IMAGE_RESIZE_UP] = {
       type: 'img_resize',
       id: INPAINT_IMAGE_RESIZE_UP,
-      is_intermediate: true,
+      is_intermediate,
       width: scaledWidth,
       height: scaledHeight,
       image: canvasInitImage,
@@ -460,7 +396,7 @@ export const buildCanvasSDXLInpaintGraph = (
     graph.nodes[MASK_RESIZE_UP] = {
       type: 'img_resize',
       id: MASK_RESIZE_UP,
-      is_intermediate: true,
+      is_intermediate,
       width: scaledWidth,
       height: scaledHeight,
       image: canvasMaskImage,
@@ -468,14 +404,14 @@ export const buildCanvasSDXLInpaintGraph = (
     graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = {
       type: 'img_resize',
       id: INPAINT_IMAGE_RESIZE_DOWN,
-      is_intermediate: true,
+      is_intermediate,
       width: width,
       height: height,
     };
     graph.nodes[MASK_RESIZE_DOWN] = {
       type: 'img_resize',
       id: MASK_RESIZE_DOWN,
-      is_intermediate: true,
+      is_intermediate,
       width: width,
       height: height,
     };
@@ -613,7 +549,7 @@ export const buildCanvasSDXLInpaintGraph = (
     graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = {
       type: 'create_denoise_mask',
       id: CANVAS_COHERENCE_INPAINT_CREATE_MASK,
-      is_intermediate: true,
+      is_intermediate,
       fp32,
     };
 
@@ -666,7 +602,7 @@ export const buildCanvasSDXLInpaintGraph = (
       graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = {
         type: 'mask_edge',
         id: CANVAS_COHERENCE_MASK_EDGE,
-        is_intermediate: true,
+        is_intermediate,
         edge_blur: maskBlur,
         edge_size: maskBlur * 2,
         low_threshold: 100,
@@ -717,26 +653,6 @@ export const buildCanvasSDXLInpaintGraph = (
     });
   }
 
-  // Handle Seed
-  if (shouldRandomizeSeed) {
-    // Random int node to generate the starting seed
-    const randomIntNode: RandomIntInvocation = {
-      id: RANDOM_INT,
-      type: 'rand_int',
-    };
-
-    graph.nodes[RANDOM_INT] = randomIntNode;
-
-    // Connect random int to the start of the range of size so the range starts on the random first seed
-    graph.edges.push({
-      source: { node_id: RANDOM_INT, field: 'value' },
-      destination: { node_id: RANGE_OF_SIZE, field: 'start' },
-    });
-  } else {
-    // User specified seed, so set the start of the range of size to the seed
-    (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
-  }
-
   // Add Seamless To Graph
   if (seamlessXAxis || seamlessYAxis) {
     addSeamlessToLinearGraph(state, graph, modelLoaderNodeId);
@@ -780,5 +696,7 @@ export const buildCanvasSDXLInpaintGraph = (
     addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 30cea4915a..922e75fa0c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -7,14 +7,13 @@ import {
   InfillPatchMatchInvocation,
   InfillTileInvocation,
   NoiseInvocation,
-  RandomIntInvocation,
-  RangeOfSizeInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -31,7 +30,6 @@ import {
   INPAINT_IMAGE_RESIZE_UP,
   INPAINT_INFILL,
   INPAINT_INFILL_RESIZE_DOWN,
-  ITERATE,
   LATENTS_TO_IMAGE,
   MASK_COMBINE,
   MASK_FROM_ALPHA,
@@ -40,15 +38,13 @@ import {
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
-  RANDOM_INT,
-  RANGE_OF_SIZE,
   SDXL_CANVAS_OUTPAINT_GRAPH,
   SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
   SDXL_REFINER_SEAMLESS,
   SEAMLESS,
 } from './constants';
-import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt';
 
 /**
  * Builds the Canvas tab's Outpaint graph.
@@ -66,9 +62,7 @@ export const buildCanvasSDXLOutpaintGraph = (
     cfgScale: cfg_scale,
     scheduler,
     steps,
-    iterations,
     seed,
-    shouldRandomizeSeed,
     vaePrecision,
     shouldUseNoiseSettings,
     shouldUseCpuNoise,
@@ -87,7 +81,6 @@ export const buildCanvasSDXLOutpaintGraph = (
     sdxlImg2ImgDenoisingStrength: strength,
     shouldUseSDXLRefiner,
     refinerStart,
-    shouldConcatSDXLStylePrompt,
   } = state.sdxl;
 
   if (!model) {
@@ -99,14 +92,10 @@ export const buildCanvasSDXLOutpaintGraph = (
   const { width, height } = state.canvas.boundingBoxDimensions;
 
   // We may need to set the inpaint width and height to scale the image
-  const {
-    scaledBoundingBoxDimensions,
-    boundingBoxScaleMethod,
-    shouldAutoSave,
-  } = state.canvas;
+  const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas;
 
   const fp32 = vaePrecision === 'fp32';
-
+  const is_intermediate = true;
   const isUsingScaledDimensions = ['auto', 'manual'].includes(
     boundingBoxScaleMethod
   );
@@ -118,8 +107,8 @@ export const buildCanvasSDXLOutpaintGraph = (
     : shouldUseCpuNoise;
 
   // Construct Style Prompt
-  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
-    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+  const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
+    buildSDXLStylePrompts(state);
 
   const graph: NonNullableGraph = {
     id: SDXL_CANVAS_OUTPAINT_GRAPH,
@@ -133,48 +122,49 @@ export const buildCanvasSDXLOutpaintGraph = (
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        style: craftedPositiveStylePrompt,
+        style: joinedPositiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        style: craftedNegativeStylePrompt,
+        style: joinedNegativeStylePrompt,
       },
       [MASK_FROM_ALPHA]: {
         type: 'tomask',
         id: MASK_FROM_ALPHA,
-        is_intermediate: true,
+        is_intermediate,
         image: canvasInitImage,
       },
       [MASK_COMBINE]: {
         type: 'mask_combine',
         id: MASK_COMBINE,
-        is_intermediate: true,
+        is_intermediate,
         mask2: canvasMaskImage,
       },
       [INPAINT_IMAGE]: {
         type: 'i2l',
         id: INPAINT_IMAGE,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
         use_cpu,
-        is_intermediate: true,
+        seed,
+        is_intermediate,
       },
       [INPAINT_CREATE_MASK]: {
         type: 'create_denoise_mask',
         id: INPAINT_CREATE_MASK,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [SDXL_DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: SDXL_DENOISE_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         steps: steps,
         cfg_scale: cfg_scale,
         scheduler: scheduler,
@@ -185,20 +175,21 @@ export const buildCanvasSDXLOutpaintGraph = (
       },
       [CANVAS_COHERENCE_NOISE]: {
         type: 'noise',
-        id: NOISE,
+        id: CANVAS_COHERENCE_NOISE,
         use_cpu,
-        is_intermediate: true,
+        seed: seed + 1,
+        is_intermediate,
       },
       [CANVAS_COHERENCE_NOISE_INCREMENT]: {
         type: 'add',
         id: CANVAS_COHERENCE_NOISE_INCREMENT,
         b: 1,
-        is_intermediate: true,
+        is_intermediate,
       },
       [CANVAS_COHERENCE_DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: CANVAS_COHERENCE_DENOISE_LATENTS,
-        is_intermediate: true,
+        is_intermediate,
         steps: canvasCoherenceSteps,
         cfg_scale: cfg_scale,
         scheduler: scheduler,
@@ -208,27 +199,13 @@ export const buildCanvasSDXLOutpaintGraph = (
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
-        is_intermediate: true,
+        is_intermediate,
         fp32,
       },
       [CANVAS_OUTPUT]: {
         type: 'color_correct',
         id: CANVAS_OUTPUT,
-        is_intermediate: !shouldAutoSave,
-      },
-      [RANGE_OF_SIZE]: {
-        type: 'range_of_size',
-        id: RANGE_OF_SIZE,
-        is_intermediate: true,
-        // seed - must be connected manually
-        // start: 0,
-        size: iterations,
-        step: 1,
-      },
-      [ITERATE]: {
-        type: 'iterate',
-        id: ITERATE,
-        is_intermediate: true,
+        is_intermediate,
       },
     },
     edges: [
@@ -367,48 +344,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'denoise_mask',
         },
       },
-      // Iterate
-      {
-        source: {
-          node_id: RANGE_OF_SIZE,
-          field: 'collection',
-        },
-        destination: {
-          node_id: ITERATE,
-          field: 'collection',
-        },
-      },
-      {
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: NOISE,
-          field: 'seed',
-        },
-      },
       // Canvas Refine
-      {
-        source: {
-          node_id: ITERATE,
-          field: 'item',
-        },
-        destination: {
-          node_id: CANVAS_COHERENCE_NOISE_INCREMENT,
-          field: 'a',
-        },
-      },
-      {
-        source: {
-          node_id: CANVAS_COHERENCE_NOISE_INCREMENT,
-          field: 'value',
-        },
-        destination: {
-          node_id: CANVAS_COHERENCE_NOISE,
-          field: 'seed',
-        },
-      },
       {
         source: {
           node_id: modelLoaderNodeId,
@@ -488,7 +424,7 @@ export const buildCanvasSDXLOutpaintGraph = (
     graph.nodes[INPAINT_INFILL] = {
       type: 'infill_patchmatch',
       id: INPAINT_INFILL,
-      is_intermediate: true,
+      is_intermediate,
       downscale: infillPatchmatchDownscaleSize,
     };
   }
@@ -497,7 +433,7 @@ export const buildCanvasSDXLOutpaintGraph = (
     graph.nodes[INPAINT_INFILL] = {
       type: 'infill_lama',
       id: INPAINT_INFILL,
-      is_intermediate: true,
+      is_intermediate,
     };
   }
 
@@ -505,7 +441,7 @@ export const buildCanvasSDXLOutpaintGraph = (
     graph.nodes[INPAINT_INFILL] = {
       type: 'infill_cv2',
       id: INPAINT_INFILL,
-      is_intermediate: true,
+      is_intermediate,
     };
   }
 
@@ -513,7 +449,7 @@ export const buildCanvasSDXLOutpaintGraph = (
     graph.nodes[INPAINT_INFILL] = {
       type: 'infill_tile',
       id: INPAINT_INFILL,
-      is_intermediate: true,
+      is_intermediate,
       tile_size: infillTileSize,
     };
   }
@@ -527,7 +463,7 @@ export const buildCanvasSDXLOutpaintGraph = (
     graph.nodes[INPAINT_IMAGE_RESIZE_UP] = {
       type: 'img_resize',
       id: INPAINT_IMAGE_RESIZE_UP,
-      is_intermediate: true,
+      is_intermediate,
       width: scaledWidth,
       height: scaledHeight,
       image: canvasInitImage,
@@ -535,28 +471,28 @@ export const buildCanvasSDXLOutpaintGraph = (
     graph.nodes[MASK_RESIZE_UP] = {
       type: 'img_resize',
       id: MASK_RESIZE_UP,
-      is_intermediate: true,
+      is_intermediate,
       width: scaledWidth,
       height: scaledHeight,
     };
     graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = {
       type: 'img_resize',
       id: INPAINT_IMAGE_RESIZE_DOWN,
-      is_intermediate: true,
+      is_intermediate,
       width: width,
       height: height,
     };
     graph.nodes[INPAINT_INFILL_RESIZE_DOWN] = {
       type: 'img_resize',
       id: INPAINT_INFILL_RESIZE_DOWN,
-      is_intermediate: true,
+      is_intermediate,
       width: width,
       height: height,
     };
     graph.nodes[MASK_RESIZE_DOWN] = {
       type: 'img_resize',
       id: MASK_RESIZE_DOWN,
-      is_intermediate: true,
+      is_intermediate,
       width: width,
       height: height,
     };
@@ -716,7 +652,7 @@ export const buildCanvasSDXLOutpaintGraph = (
     graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = {
       type: 'create_denoise_mask',
       id: CANVAS_COHERENCE_INPAINT_CREATE_MASK,
-      is_intermediate: true,
+      is_intermediate,
       fp32,
     };
 
@@ -763,7 +699,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = {
         type: 'mask_edge',
         id: CANVAS_COHERENCE_MASK_EDGE,
-        is_intermediate: true,
+        is_intermediate,
         edge_blur: maskBlur,
         edge_size: maskBlur * 2,
         low_threshold: 100,
@@ -820,26 +756,6 @@ export const buildCanvasSDXLOutpaintGraph = (
     });
   }
 
-  // Handle Seed
-  if (shouldRandomizeSeed) {
-    // Random int node to generate the starting seed
-    const randomIntNode: RandomIntInvocation = {
-      id: RANDOM_INT,
-      type: 'rand_int',
-    };
-
-    graph.nodes[RANDOM_INT] = randomIntNode;
-
-    // Connect random int to the start of the range of size so the range starts on the random first seed
-    graph.edges.push({
-      source: { node_id: RANDOM_INT, field: 'value' },
-      destination: { node_id: RANGE_OF_SIZE, field: 'start' },
-    });
-  } else {
-    // User specified seed, so set the start of the range of size to the seed
-    (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
-  }
-
   // Add Seamless To Graph
   if (seamlessXAxis || seamlessYAxis) {
     addSeamlessToLinearGraph(state, graph, modelLoaderNodeId);
@@ -883,5 +799,7 @@ export const buildCanvasSDXLOutpaintGraph = (
     addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index c191afe6c1..8a292e9826 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -7,11 +7,11 @@ import {
   ONNXTextToLatentsInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
-import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -29,7 +29,7 @@ import {
   SDXL_REFINER_SEAMLESS,
   SEAMLESS,
 } from './constants';
-import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt';
 
 /**
  * Builds the Canvas tab's Text to Image graph.
@@ -44,6 +44,7 @@ export const buildCanvasSDXLTextToImageGraph = (
     model,
     cfgScale: cfg_scale,
     scheduler,
+    seed,
     steps,
     vaePrecision,
     clipSkip,
@@ -56,20 +57,15 @@ export const buildCanvasSDXLTextToImageGraph = (
   // The bounding box determines width and height, not the width and height params
   const { width, height } = state.canvas.boundingBoxDimensions;
 
-  const {
-    scaledBoundingBoxDimensions,
-    boundingBoxScaleMethod,
-    shouldAutoSave,
-  } = state.canvas;
+  const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas;
 
   const fp32 = vaePrecision === 'fp32';
-
+  const is_intermediate = true;
   const isUsingScaledDimensions = ['auto', 'manual'].includes(
     boundingBoxScaleMethod
   );
 
-  const { shouldUseSDXLRefiner, refinerStart, shouldConcatSDXLStylePrompt } =
-    state.sdxl;
+  const { shouldUseSDXLRefiner, refinerStart } = state.sdxl;
 
   if (!model) {
     log.error('No model found in state');
@@ -95,7 +91,7 @@ export const buildCanvasSDXLTextToImageGraph = (
       ? {
           type: 't2l_onnx',
           id: SDXL_DENOISE_LATENTS,
-          is_intermediate: true,
+          is_intermediate,
           cfg_scale,
           scheduler,
           steps,
@@ -103,7 +99,7 @@ export const buildCanvasSDXLTextToImageGraph = (
       : {
           type: 'denoise_latents',
           id: SDXL_DENOISE_LATENTS,
-          is_intermediate: true,
+          is_intermediate,
           cfg_scale,
           scheduler,
           steps,
@@ -112,8 +108,8 @@ export const buildCanvasSDXLTextToImageGraph = (
         };
 
   // Construct Style Prompt
-  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
-    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+  const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
+    buildSDXLStylePrompts(state);
 
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
@@ -132,27 +128,28 @@ export const buildCanvasSDXLTextToImageGraph = (
       [modelLoaderNodeId]: {
         type: modelLoaderNodeType,
         id: modelLoaderNodeId,
-        is_intermediate: true,
+        is_intermediate,
         model,
       },
       [POSITIVE_CONDITIONING]: {
         type: isUsingOnnxModel ? 'prompt_onnx' : 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
-        is_intermediate: true,
+        is_intermediate,
         prompt: positivePrompt,
-        style: craftedPositiveStylePrompt,
+        style: joinedPositiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: isUsingOnnxModel ? 'prompt_onnx' : 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
-        is_intermediate: true,
+        is_intermediate,
         prompt: negativePrompt,
-        style: craftedNegativeStylePrompt,
+        style: joinedNegativeStylePrompt,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
-        is_intermediate: true,
+        is_intermediate,
+        seed,
         width: !isUsingScaledDimensions
           ? width
           : scaledBoundingBoxDimensions.width,
@@ -254,14 +251,14 @@ export const buildCanvasSDXLTextToImageGraph = (
     graph.nodes[LATENTS_TO_IMAGE] = {
       id: LATENTS_TO_IMAGE,
       type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
-      is_intermediate: true,
+      is_intermediate,
       fp32,
     };
 
     graph.nodes[CANVAS_OUTPUT] = {
       id: CANVAS_OUTPUT,
       type: 'img_resize',
-      is_intermediate: !shouldAutoSave,
+      is_intermediate,
       width: width,
       height: height,
     };
@@ -292,7 +289,7 @@ export const buildCanvasSDXLTextToImageGraph = (
     graph.nodes[CANVAS_OUTPUT] = {
       type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
       id: CANVAS_OUTPUT,
-      is_intermediate: !shouldAutoSave,
+      is_intermediate,
       fp32,
     };
 
@@ -318,10 +315,10 @@ export const buildCanvasSDXLTextToImageGraph = (
     height: !isUsingScaledDimensions
       ? height
       : scaledBoundingBoxDimensions.height,
-    positive_prompt: '', // set in addDynamicPromptsToGraph
+    positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
     model,
-    seed: 0, // set in addDynamicPromptsToGraph
+    seed,
     steps,
     rand_device: use_cpu ? 'cpu' : 'cuda',
     scheduler,
@@ -367,9 +364,6 @@ export const buildCanvasSDXLTextToImageGraph = (
   // optionally add custom VAE
   addVAEToGraph(state, graph, modelLoaderNodeId);
 
-  // add dynamic prompts - also sets up core iteration and seed
-  addDynamicPromptsToGraph(state, graph);
-
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
@@ -387,5 +381,7 @@ export const buildCanvasSDXLTextToImageGraph = (
     addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index 28dd239e29..a99b2c9ece 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -7,10 +7,10 @@ import {
   ONNXTextToLatentsInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
-import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -42,6 +42,7 @@ export const buildCanvasTextToImageGraph = (
     model,
     cfgScale: cfg_scale,
     scheduler,
+    seed,
     steps,
     vaePrecision,
     clipSkip,
@@ -54,14 +55,10 @@ export const buildCanvasTextToImageGraph = (
   // The bounding box determines width and height, not the width and height params
   const { width, height } = state.canvas.boundingBoxDimensions;
 
-  const {
-    scaledBoundingBoxDimensions,
-    boundingBoxScaleMethod,
-    shouldAutoSave,
-  } = state.canvas;
+  const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas;
 
   const fp32 = vaePrecision === 'fp32';
-
+  const is_intermediate = true;
   const isUsingScaledDimensions = ['auto', 'manual'].includes(
     boundingBoxScaleMethod
   );
@@ -90,7 +87,7 @@ export const buildCanvasTextToImageGraph = (
       ? {
           type: 't2l_onnx',
           id: DENOISE_LATENTS,
-          is_intermediate: true,
+          is_intermediate,
           cfg_scale,
           scheduler,
           steps,
@@ -98,7 +95,7 @@ export const buildCanvasTextToImageGraph = (
       : {
           type: 'denoise_latents',
           id: DENOISE_LATENTS,
-          is_intermediate: true,
+          is_intermediate,
           cfg_scale,
           scheduler,
           steps,
@@ -123,31 +120,32 @@ export const buildCanvasTextToImageGraph = (
       [modelLoaderNodeId]: {
         type: modelLoaderNodeType,
         id: modelLoaderNodeId,
-        is_intermediate: true,
+        is_intermediate,
         model,
       },
       [CLIP_SKIP]: {
         type: 'clip_skip',
         id: CLIP_SKIP,
-        is_intermediate: true,
+        is_intermediate,
         skipped_layers: clipSkip,
       },
       [POSITIVE_CONDITIONING]: {
         type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
         id: POSITIVE_CONDITIONING,
-        is_intermediate: true,
+        is_intermediate,
         prompt: positivePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
         id: NEGATIVE_CONDITIONING,
-        is_intermediate: true,
+        is_intermediate,
         prompt: negativePrompt,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
-        is_intermediate: true,
+        is_intermediate,
+        seed,
         width: !isUsingScaledDimensions
           ? width
           : scaledBoundingBoxDimensions.width,
@@ -240,14 +238,14 @@ export const buildCanvasTextToImageGraph = (
     graph.nodes[LATENTS_TO_IMAGE] = {
       id: LATENTS_TO_IMAGE,
       type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
-      is_intermediate: true,
+      is_intermediate,
       fp32,
     };
 
     graph.nodes[CANVAS_OUTPUT] = {
       id: CANVAS_OUTPUT,
       type: 'img_resize',
-      is_intermediate: !shouldAutoSave,
+      is_intermediate,
       width: width,
       height: height,
     };
@@ -278,7 +276,7 @@ export const buildCanvasTextToImageGraph = (
     graph.nodes[CANVAS_OUTPUT] = {
       type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
       id: CANVAS_OUTPUT,
-      is_intermediate: !shouldAutoSave,
+      is_intermediate,
       fp32,
     };
 
@@ -304,10 +302,10 @@ export const buildCanvasTextToImageGraph = (
     height: !isUsingScaledDimensions
       ? height
       : scaledBoundingBoxDimensions.height,
-    positive_prompt: '', // set in addDynamicPromptsToGraph
+    positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
     model,
-    seed: 0, // set in addDynamicPromptsToGraph
+    seed,
     steps,
     rand_device: use_cpu ? 'cpu' : 'cuda',
     scheduler,
@@ -340,9 +338,6 @@ export const buildCanvasTextToImageGraph = (
   // add LoRA support
   addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
 
-  // add dynamic prompts - also sets up core iteration and seed
-  addDynamicPromptsToGraph(state, graph);
-
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
@@ -360,5 +355,7 @@ export const buildCanvasTextToImageGraph = (
     addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearBatchConfig.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearBatchConfig.ts
new file mode 100644
index 0000000000..9c25ee3b8f
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearBatchConfig.ts
@@ -0,0 +1,185 @@
+import { NUMPY_RAND_MAX } from 'app/constants';
+import { RootState } from 'app/store/store';
+import { generateSeeds } from 'common/util/generateSeeds';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import { range, unset } from 'lodash-es';
+import { components } from 'services/api/schema';
+import { Batch, BatchConfig } from 'services/api/types';
+import {
+  CANVAS_COHERENCE_NOISE,
+  METADATA_ACCUMULATOR,
+  NOISE,
+  POSITIVE_CONDITIONING,
+} from './constants';
+
+export const prepareLinearUIBatch = (
+  state: RootState,
+  graph: NonNullableGraph,
+  prepend: boolean
+): BatchConfig => {
+  const { iterations, model, shouldRandomizeSeed, seed } = state.generation;
+  const { shouldConcatSDXLStylePrompt, positiveStylePrompt } = state.sdxl;
+  const { prompts, seedBehaviour } = state.dynamicPrompts;
+
+  const data: Batch['data'] = [];
+
+  if (prompts.length === 1) {
+    unset(graph.nodes[METADATA_ACCUMULATOR], 'seed');
+    const seeds = generateSeeds({
+      count: iterations,
+      start: shouldRandomizeSeed ? undefined : seed,
+    });
+
+    const zipped: components['schemas']['BatchDatum'][] = [];
+
+    if (graph.nodes[NOISE]) {
+      zipped.push({
+        node_path: NOISE,
+        field_name: 'seed',
+        items: seeds,
+      });
+    }
+
+    if (graph.nodes[METADATA_ACCUMULATOR]) {
+      zipped.push({
+        node_path: METADATA_ACCUMULATOR,
+        field_name: 'seed',
+        items: seeds,
+      });
+    }
+
+    if (graph.nodes[CANVAS_COHERENCE_NOISE]) {
+      zipped.push({
+        node_path: CANVAS_COHERENCE_NOISE,
+        field_name: 'seed',
+        items: seeds.map((seed) => (seed + 1) % NUMPY_RAND_MAX),
+      });
+    }
+
+    data.push(zipped);
+  } else {
+    // prompts.length > 1 aka dynamic prompts
+    const firstBatchDatumList: components['schemas']['BatchDatum'][] = [];
+    const secondBatchDatumList: components['schemas']['BatchDatum'][] = [];
+
+    // add seeds first to ensure the output order groups the prompts
+    if (seedBehaviour === 'PER_PROMPT') {
+      const seeds = generateSeeds({
+        count: prompts.length * iterations,
+        start: shouldRandomizeSeed ? undefined : seed,
+      });
+
+      if (graph.nodes[NOISE]) {
+        firstBatchDatumList.push({
+          node_path: NOISE,
+          field_name: 'seed',
+          items: seeds,
+        });
+      }
+
+      if (graph.nodes[METADATA_ACCUMULATOR]) {
+        firstBatchDatumList.push({
+          node_path: METADATA_ACCUMULATOR,
+          field_name: 'seed',
+          items: seeds,
+        });
+      }
+
+      if (graph.nodes[CANVAS_COHERENCE_NOISE]) {
+        firstBatchDatumList.push({
+          node_path: CANVAS_COHERENCE_NOISE,
+          field_name: 'seed',
+          items: seeds.map((seed) => (seed + 1) % NUMPY_RAND_MAX),
+        });
+      }
+    } else {
+      // seedBehaviour = SeedBehaviour.PerRun
+      const seeds = generateSeeds({
+        count: iterations,
+        start: shouldRandomizeSeed ? undefined : seed,
+      });
+
+      if (graph.nodes[NOISE]) {
+        secondBatchDatumList.push({
+          node_path: NOISE,
+          field_name: 'seed',
+          items: seeds,
+        });
+      }
+      if (graph.nodes[METADATA_ACCUMULATOR]) {
+        secondBatchDatumList.push({
+          node_path: METADATA_ACCUMULATOR,
+          field_name: 'seed',
+          items: seeds,
+        });
+      }
+      if (graph.nodes[CANVAS_COHERENCE_NOISE]) {
+        secondBatchDatumList.push({
+          node_path: CANVAS_COHERENCE_NOISE,
+          field_name: 'seed',
+          items: seeds.map((seed) => (seed + 1) % NUMPY_RAND_MAX),
+        });
+      }
+      data.push(secondBatchDatumList);
+    }
+
+    const extendedPrompts =
+      seedBehaviour === 'PER_PROMPT'
+        ? range(iterations).flatMap(() => prompts)
+        : prompts;
+
+    // zipped batch of prompts
+    if (graph.nodes[POSITIVE_CONDITIONING]) {
+      firstBatchDatumList.push({
+        node_path: POSITIVE_CONDITIONING,
+        field_name: 'prompt',
+        items: extendedPrompts,
+      });
+    }
+
+    if (graph.nodes[METADATA_ACCUMULATOR]) {
+      firstBatchDatumList.push({
+        node_path: METADATA_ACCUMULATOR,
+        field_name: 'positive_prompt',
+        items: extendedPrompts,
+      });
+    }
+
+    if (shouldConcatSDXLStylePrompt && model?.base_model === 'sdxl') {
+      unset(graph.nodes[METADATA_ACCUMULATOR], 'positive_style_prompt');
+
+      const stylePrompts = extendedPrompts.map((p) =>
+        [p, positiveStylePrompt].join(' ')
+      );
+
+      if (graph.nodes[POSITIVE_CONDITIONING]) {
+        firstBatchDatumList.push({
+          node_path: POSITIVE_CONDITIONING,
+          field_name: 'style',
+          items: stylePrompts,
+        });
+      }
+
+      if (graph.nodes[METADATA_ACCUMULATOR]) {
+        firstBatchDatumList.push({
+          node_path: METADATA_ACCUMULATOR,
+          field_name: 'positive_style_prompt',
+          items: stylePrompts,
+        });
+      }
+    }
+
+    data.push(firstBatchDatumList);
+  }
+
+  const enqueueBatchArg: BatchConfig = {
+    prepend,
+    batch: {
+      graph,
+      runs: 1,
+      data,
+    },
+  };
+
+  return enqueueBatchArg;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index 7127026a76..719fb8ea78 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -7,10 +7,10 @@ import {
   ImageToLatentsInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
-import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -42,6 +42,7 @@ export const buildLinearImageToImageGraph = (
     model,
     cfgScale: cfg_scale,
     scheduler,
+    seed,
     steps,
     initialImage,
     img2imgStrength: strength,
@@ -56,16 +57,6 @@ export const buildLinearImageToImageGraph = (
     seamlessYAxis,
   } = state.generation;
 
-  // TODO: add batch functionality
-  // const {
-  //   isEnabled: isBatchEnabled,
-  //   imageNames: batchImageNames,
-  //   asInitialImage,
-  // } = state.batch;
-
-  // const shouldBatch =
-  //   isBatchEnabled && batchImageNames.length > 0 && asInitialImage;
-
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
@@ -86,6 +77,7 @@ export const buildLinearImageToImageGraph = (
   }
 
   const fp32 = vaePrecision === 'fp32';
+  const is_intermediate = true;
 
   let modelLoaderNodeId = MAIN_MODEL_LOADER;
 
@@ -101,31 +93,38 @@ export const buildLinearImageToImageGraph = (
         type: 'main_model_loader',
         id: modelLoaderNodeId,
         model,
+        is_intermediate,
       },
       [CLIP_SKIP]: {
         type: 'clip_skip',
         id: CLIP_SKIP,
         skipped_layers: clipSkip,
+        is_intermediate,
       },
       [POSITIVE_CONDITIONING]: {
         type: 'compel',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
+        is_intermediate,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'compel',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
+        is_intermediate,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
         use_cpu,
+        seed,
+        is_intermediate,
       },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
         fp32,
+        is_intermediate,
       },
       [DENOISE_LATENTS]: {
         type: 'denoise_latents',
@@ -135,6 +134,7 @@ export const buildLinearImageToImageGraph = (
         steps,
         denoising_start: 1 - strength,
         denoising_end: 1,
+        is_intermediate,
       },
       [IMAGE_TO_LATENTS]: {
         type: 'i2l',
@@ -144,6 +144,7 @@ export const buildLinearImageToImageGraph = (
         //   image_name: initialImage.image_name,
         // },
         fp32,
+        is_intermediate,
       },
     },
     edges: [
@@ -321,10 +322,10 @@ export const buildLinearImageToImageGraph = (
     cfg_scale,
     height,
     width,
-    positive_prompt: '', // set in addDynamicPromptsToGraph
+    positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
     model,
-    seed: 0, // set in addDynamicPromptsToGraph
+    seed,
     steps,
     rand_device: use_cpu ? 'cpu' : 'cuda',
     scheduler,
@@ -359,9 +360,6 @@ export const buildLinearImageToImageGraph = (
   // add LoRA support
   addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
 
-  // add dynamic prompts - also sets up core iteration and seed
-  addDynamicPromptsToGraph(state, graph);
-
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
@@ -379,5 +377,7 @@ export const buildLinearImageToImageGraph = (
     addWatermarkerToGraph(state, graph);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 07aaf31e12..2a7ae4064f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -7,11 +7,11 @@ import {
   ImageToLatentsInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
-import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -29,7 +29,7 @@ import {
   SDXL_REFINER_SEAMLESS,
   SEAMLESS,
 } from './constants';
-import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt';
 
 /**
  * Builds the Image to Image tab graph.
@@ -44,6 +44,7 @@ export const buildLinearSDXLImageToImageGraph = (
     model,
     cfgScale: cfg_scale,
     scheduler,
+    seed,
     steps,
     initialImage,
     shouldFitToWidthHeight,
@@ -60,7 +61,6 @@ export const buildLinearSDXLImageToImageGraph = (
   const {
     positiveStylePrompt,
     negativeStylePrompt,
-    shouldConcatSDXLStylePrompt,
     shouldUseSDXLRefiner,
     refinerStart,
     sdxlImg2ImgDenoisingStrength: strength,
@@ -86,6 +86,7 @@ export const buildLinearSDXLImageToImageGraph = (
   }
 
   const fp32 = vaePrecision === 'fp32';
+  const is_intermediate = true;
 
   // Model Loader ID
   let modelLoaderNodeId = SDXL_MODEL_LOADER;
@@ -95,8 +96,8 @@ export const buildLinearSDXLImageToImageGraph = (
     : initialGenerationState.shouldUseCpuNoise;
 
   // Construct Style Prompt
-  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
-    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+  const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
+    buildSDXLStylePrompts(state);
 
   // copy-pasted graph from node editor, filled in with state values & friendly node ids
   const graph: NonNullableGraph = {
@@ -106,28 +107,34 @@ export const buildLinearSDXLImageToImageGraph = (
         type: 'sdxl_model_loader',
         id: modelLoaderNodeId,
         model,
+        is_intermediate,
       },
       [POSITIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        style: craftedPositiveStylePrompt,
+        style: joinedPositiveStylePrompt,
+        is_intermediate,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        style: craftedNegativeStylePrompt,
+        style: joinedNegativeStylePrompt,
+        is_intermediate,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
         use_cpu,
+        seed,
+        is_intermediate,
       },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
         fp32,
+        is_intermediate,
       },
       [SDXL_DENOISE_LATENTS]: {
         type: 'denoise_latents',
@@ -139,6 +146,7 @@ export const buildLinearSDXLImageToImageGraph = (
           ? Math.min(refinerStart, 1 - strength)
           : 1 - strength,
         denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
+        is_intermediate,
       },
       [IMAGE_TO_LATENTS]: {
         type: 'i2l',
@@ -148,6 +156,7 @@ export const buildLinearSDXLImageToImageGraph = (
         //   image_name: initialImage.image_name,
         // },
         fp32,
+        is_intermediate,
       },
     },
     edges: [
@@ -334,10 +343,10 @@ export const buildLinearSDXLImageToImageGraph = (
     cfg_scale,
     height,
     width,
-    positive_prompt: '', // set in addDynamicPromptsToGraph
+    positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
     model,
-    seed: 0, // set in addDynamicPromptsToGraph
+    seed,
     steps,
     rand_device: use_cpu ? 'cpu' : 'cuda',
     scheduler,
@@ -388,9 +397,6 @@ export const buildLinearSDXLImageToImageGraph = (
   // Add IP Adapter
   addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
-  // add dynamic prompts - also sets up core iteration and seed
-  addDynamicPromptsToGraph(state, graph);
-
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
@@ -402,5 +408,7 @@ export const buildLinearSDXLImageToImageGraph = (
     addWatermarkerToGraph(state, graph);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 2bcd981b33..ad65f649b7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -3,11 +3,11 @@ import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
-import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -23,7 +23,7 @@ import {
   SDXL_TEXT_TO_IMAGE_GRAPH,
   SEAMLESS,
 } from './constants';
-import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
+import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt';
 
 export const buildLinearSDXLTextToImageGraph = (
   state: RootState
@@ -35,6 +35,7 @@ export const buildLinearSDXLTextToImageGraph = (
     model,
     cfgScale: cfg_scale,
     scheduler,
+    seed,
     steps,
     width,
     height,
@@ -50,24 +51,23 @@ export const buildLinearSDXLTextToImageGraph = (
     positiveStylePrompt,
     negativeStylePrompt,
     shouldUseSDXLRefiner,
-    shouldConcatSDXLStylePrompt,
     refinerStart,
   } = state.sdxl;
 
   const use_cpu = shouldUseNoiseSettings
     ? shouldUseCpuNoise
     : initialGenerationState.shouldUseCpuNoise;
-
   if (!model) {
     log.error('No model found in state');
     throw new Error('No model found in state');
   }
 
   const fp32 = vaePrecision === 'fp32';
+  const is_intermediate = true;
 
   // Construct Style Prompt
-  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
-    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+  const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
+    buildSDXLStylePrompts(state);
 
   // Model Loader ID
   let modelLoaderNodeId = SDXL_MODEL_LOADER;
@@ -89,25 +89,30 @@ export const buildLinearSDXLTextToImageGraph = (
         type: 'sdxl_model_loader',
         id: modelLoaderNodeId,
         model,
+        is_intermediate,
       },
       [POSITIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        style: craftedPositiveStylePrompt,
+        style: joinedPositiveStylePrompt,
+        is_intermediate,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        style: craftedNegativeStylePrompt,
+        style: joinedNegativeStylePrompt,
+        is_intermediate,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
+        seed,
         width,
         height,
         use_cpu,
+        is_intermediate,
       },
       [SDXL_DENOISE_LATENTS]: {
         type: 'denoise_latents',
@@ -117,11 +122,13 @@ export const buildLinearSDXLTextToImageGraph = (
         steps,
         denoising_start: 0,
         denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
+        is_intermediate,
       },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
         fp32,
+        is_intermediate,
       },
     },
     edges: [
@@ -229,10 +236,10 @@ export const buildLinearSDXLTextToImageGraph = (
     cfg_scale,
     height,
     width,
-    positive_prompt: '', // set in addDynamicPromptsToGraph
+    positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
     model,
-    seed: 0, // set in addDynamicPromptsToGraph
+    seed,
     steps,
     rand_device: use_cpu ? 'cpu' : 'cuda',
     scheduler,
@@ -281,9 +288,6 @@ export const buildLinearSDXLTextToImageGraph = (
   // add IP Adapter
   addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
-  // add dynamic prompts - also sets up core iteration and seed
-  addDynamicPromptsToGraph(state, graph);
-
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
@@ -295,5 +299,7 @@ export const buildLinearSDXLTextToImageGraph = (
     addWatermarkerToGraph(state, graph);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index 6235e73d08..b3b663d65d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -7,10 +7,10 @@ import {
   ONNXTextToLatentsInvocation,
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
-import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSaveImageNode } from './addSaveImageNode';
 import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -47,6 +47,7 @@ export const buildLinearTextToImageGraph = (
     vaePrecision,
     seamlessXAxis,
     seamlessYAxis,
+    seed,
   } = state.generation;
 
   const use_cpu = shouldUseNoiseSettings
@@ -59,7 +60,7 @@ export const buildLinearTextToImageGraph = (
   }
 
   const fp32 = vaePrecision === 'fp32';
-
+  const is_intermediate = true;
   const isUsingOnnxModel = model.model_type === 'onnx';
 
   let modelLoaderNodeId = isUsingOnnxModel
@@ -75,7 +76,7 @@ export const buildLinearTextToImageGraph = (
       ? {
           type: 't2l_onnx',
           id: DENOISE_LATENTS,
-          is_intermediate: true,
+          is_intermediate,
           cfg_scale,
           scheduler,
           steps,
@@ -83,7 +84,7 @@ export const buildLinearTextToImageGraph = (
       : {
           type: 'denoise_latents',
           id: DENOISE_LATENTS,
-          is_intermediate: true,
+          is_intermediate,
           cfg_scale,
           scheduler,
           steps,
@@ -109,40 +110,42 @@ export const buildLinearTextToImageGraph = (
       [modelLoaderNodeId]: {
         type: modelLoaderNodeType,
         id: modelLoaderNodeId,
-        is_intermediate: true,
+        is_intermediate,
         model,
       },
       [CLIP_SKIP]: {
         type: 'clip_skip',
         id: CLIP_SKIP,
         skipped_layers: clipSkip,
-        is_intermediate: true,
+        is_intermediate,
       },
       [POSITIVE_CONDITIONING]: {
         type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        is_intermediate: true,
+        is_intermediate,
       },
       [NEGATIVE_CONDITIONING]: {
         type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        is_intermediate: true,
+        is_intermediate,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
+        seed,
         width,
         height,
         use_cpu,
-        is_intermediate: true,
+        is_intermediate,
       },
       [t2lNode.id]: t2lNode,
       [LATENTS_TO_IMAGE]: {
         type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
         id: LATENTS_TO_IMAGE,
         fp32,
+        is_intermediate,
       },
     },
     edges: [
@@ -241,10 +244,10 @@ export const buildLinearTextToImageGraph = (
     cfg_scale,
     height,
     width,
-    positive_prompt: '', // set in addDynamicPromptsToGraph
+    positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
     model,
-    seed: 0, // set in addDynamicPromptsToGraph
+    seed,
     steps,
     rand_device: use_cpu ? 'cpu' : 'cuda',
     scheduler,
@@ -277,9 +280,6 @@ export const buildLinearTextToImageGraph = (
   // add LoRA support
   addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
 
-  // add dynamic prompts - also sets up core iteration and seed
-  addDynamicPromptsToGraph(state, graph);
-
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
@@ -297,5 +297,7 @@ export const buildLinearTextToImageGraph = (
     addWatermarkerToGraph(state, graph);
   }
 
+  addSaveImageNode(state, graph);
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts
index 71f79dbab5..7be06ac110 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts
@@ -55,6 +55,9 @@ export const buildNodesGraph = (nodesState: NodesState): Graph => {
         {} as Record<Exclude<string, 'id' | 'type'>, unknown>
       );
 
+      // add reserved use_cache
+      transformedInputs['use_cache'] = node.data.useCache;
+
       // Build this specific node
       const graphNode = {
         type,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index 65a29e5b7b..32c46944c7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -3,6 +3,7 @@ export const POSITIVE_CONDITIONING = 'positive_conditioning';
 export const NEGATIVE_CONDITIONING = 'negative_conditioning';
 export const DENOISE_LATENTS = 'denoise_latents';
 export const LATENTS_TO_IMAGE = 'latents_to_image';
+export const SAVE_IMAGE = 'save_image';
 export const NSFW_CHECKER = 'nsfw_checker';
 export const WATERMARKER = 'invisible_watermark';
 export const NOISE = 'noise';
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts
index f46d5cc5dc..ac058abd82 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts
@@ -1,28 +1,26 @@
 import { RootState } from 'app/store/store';
 
-export const craftSDXLStylePrompt = (
+export const buildSDXLStylePrompts = (
   state: RootState,
-  shouldConcatSDXLStylePrompt: boolean
+  overrideConcat?: boolean
 ) => {
   const { positivePrompt, negativePrompt } = state.generation;
-  const { positiveStylePrompt, negativeStylePrompt } = state.sdxl;
+  const {
+    positiveStylePrompt,
+    negativeStylePrompt,
+    shouldConcatSDXLStylePrompt,
+  } = state.sdxl;
 
-  let craftedPositiveStylePrompt = positiveStylePrompt;
-  let craftedNegativeStylePrompt = negativeStylePrompt;
+  // Construct Style Prompt
+  const joinedPositiveStylePrompt =
+    shouldConcatSDXLStylePrompt || overrideConcat
+      ? [positivePrompt, positiveStylePrompt].join(' ')
+      : positiveStylePrompt;
 
-  if (shouldConcatSDXLStylePrompt) {
-    if (positiveStylePrompt.length > 0) {
-      craftedPositiveStylePrompt = `${positivePrompt} ${positiveStylePrompt}`;
-    } else {
-      craftedPositiveStylePrompt = positivePrompt;
-    }
+  const joinedNegativeStylePrompt =
+    shouldConcatSDXLStylePrompt || overrideConcat
+      ? [negativePrompt, negativeStylePrompt].join(' ')
+      : negativeStylePrompt;
 
-    if (negativeStylePrompt.length > 0) {
-      craftedNegativeStylePrompt = `${negativePrompt} ${negativeStylePrompt}`;
-    } else {
-      craftedNegativeStylePrompt = negativePrompt;
-    }
-  }
-
-  return { craftedPositiveStylePrompt, craftedNegativeStylePrompt };
+  return { joinedPositiveStylePrompt, joinedNegativeStylePrompt };
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
index 8615a12c46..69d8d9dd4c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
@@ -16,7 +16,7 @@ import {
 } from '../types/types';
 import { buildInputFieldTemplate, getFieldType } from './fieldTemplateBuilders';
 
-const RESERVED_INPUT_FIELD_NAMES = ['id', 'type', 'metadata'];
+const RESERVED_INPUT_FIELD_NAMES = ['id', 'type', 'metadata', 'use_cache'];
 const RESERVED_OUTPUT_FIELD_NAMES = ['type'];
 const RESERVED_FIELD_TYPES = [
   'WorkflowField',
@@ -235,6 +235,8 @@ export const parseSchema = (
       {} as Record<string, OutputFieldTemplate>
     );
 
+    const useCache = schema.properties.use_cache.default;
+
     const invocation: InvocationTemplate = {
       title,
       type,
@@ -244,6 +246,7 @@ export const parseSchema = (
       outputType,
       inputs,
       outputs,
+      useCache,
     };
 
     Object.assign(invocationsAccumulator, { [type]: invocation });
diff --git a/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts b/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts
index 14b90fc731..9e5cea13f6 100644
--- a/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts
@@ -73,7 +73,7 @@ export const validateWorkflow = (
       !(edge.sourceHandle in sourceNode.data.outputs)
     ) {
       issues.push(
-        `${i18n.t('nodes.outputNodes')} "${edge.source}.${
+        `${i18n.t('nodes.outputNode')} "${edge.source}.${
           edge.sourceHandle
         }" ${i18n.t('nodes.doesNotExist')}`
       );
@@ -89,7 +89,7 @@ export const validateWorkflow = (
       !(edge.targetHandle in targetNode.data.inputs)
     ) {
       issues.push(
-        `${i18n.t('nodes.inputFeilds')} "${edge.target}.${
+        `${i18n.t('nodes.inputField')} "${edge.target}.${
           edge.targetHandle
         }" ${i18n.t('nodes.doesNotExist')}`
       );
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
index 1e203a1e45..46d90b3954 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
@@ -15,8 +15,6 @@ const selector = createSelector(
       state.config.sd.iterations;
     const { iterations } = state.generation;
     const { shouldUseSliders } = state.ui;
-    const isDisabled =
-      state.dynamicPrompts.isEnabled && state.dynamicPrompts.combinatorial;
 
     const step = state.hotkeys.shift ? fineStep : coarseStep;
 
@@ -28,13 +26,16 @@ const selector = createSelector(
       inputMax,
       step,
       shouldUseSliders,
-      isDisabled,
     };
   },
   defaultSelectorOptions
 );
 
-const ParamIterations = () => {
+type Props = {
+  asSlider?: boolean;
+};
+
+const ParamIterations = ({ asSlider }: Props) => {
   const {
     iterations,
     initial,
@@ -43,7 +44,6 @@ const ParamIterations = () => {
     inputMax,
     step,
     shouldUseSliders,
-    isDisabled,
   } = useAppSelector(selector);
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
@@ -59,10 +59,9 @@ const ParamIterations = () => {
     dispatch(setIterations(initial));
   }, [dispatch, initial]);
 
-  return shouldUseSliders ? (
+  return asSlider || shouldUseSliders ? (
     <IAISlider
-      isDisabled={isDisabled}
-      label={t('parameters.images')}
+      label={t('parameters.iterations')}
       step={step}
       min={min}
       max={sliderMax}
@@ -76,8 +75,7 @@ const ParamIterations = () => {
     />
   ) : (
     <IAINumberInput
-      isDisabled={isDisabled}
-      label={t('parameters.images')}
+      label={t('parameters.iterations')}
       step={step}
       min={min}
       max={inputMax}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
index ca45da121f..c6c0c45844 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
@@ -1,32 +1,23 @@
 import { Box, FormControl, useDisclosure } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
-
-import { createSelector } from '@reduxjs/toolkit';
-import {
-  clampSymmetrySteps,
-  setPositivePrompt,
-} from 'features/parameters/store/generationSlice';
-import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
-
-import { userInvoked } from 'app/store/actions';
 import IAITextarea from 'common/components/IAITextarea';
-import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
 import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton';
 import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover';
+import { setPositivePrompt } from 'features/parameters/store/generationSlice';
 import { isEqual } from 'lodash-es';
+import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
 import { flushSync } from 'react-dom';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
 
 const promptInputSelector = createSelector(
-  [stateSelector, activeTabNameSelector],
-  ({ generation }, activeTabName) => {
+  [stateSelector],
+  ({ generation }) => {
     return {
       prompt: generation.positivePrompt,
-      activeTabName,
     };
   },
   {
@@ -41,8 +32,7 @@ const promptInputSelector = createSelector(
  */
 const ParamPositiveConditioning = () => {
   const dispatch = useAppDispatch();
-  const { prompt, activeTabName } = useAppSelector(promptInputSelector);
-  const isReady = useIsReadyToInvoke();
+  const { prompt } = useAppSelector(promptInputSelector);
   const promptRef = useRef<HTMLTextAreaElement>(null);
   const { isOpen, onClose, onOpen } = useDisclosure();
   const { t } = useTranslation();
@@ -104,23 +94,13 @@ const ParamPositiveConditioning = () => {
 
   const handleKeyDown = useCallback(
     (e: KeyboardEvent<HTMLTextAreaElement>) => {
-      if (e.key === 'Enter' && e.shiftKey === false && isReady) {
-        e.preventDefault();
-        dispatch(clampSymmetrySteps());
-        dispatch(userInvoked(activeTabName));
-      }
       if (isEmbeddingEnabled && e.key === '<') {
         onOpen();
       }
     },
-    [isReady, dispatch, activeTabName, onOpen, isEmbeddingEnabled]
+    [onOpen, isEmbeddingEnabled]
   );
 
-  // const handleSelect = (e: MouseEvent<HTMLTextAreaElement>) => {
-  //   const target = e.target as HTMLTextAreaElement;
-  // setCaret({ start: target.selectionStart, end: target.selectionEnd });
-  // };
-
   return (
     <Box position="relative">
       <FormControl>
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
index 63700c4922..99d0617de3 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
@@ -16,6 +16,7 @@ import { activeTabNameSelector } from '../../../../ui/store/uiSelectors';
 import ParamAspectRatio, { mappedAspectRatios } from './ParamAspectRatio';
 import ParamHeight from './ParamHeight';
 import ParamWidth from './ParamWidth';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 
 const sizeOptsSelector = createSelector(
   [generationSelector, activeTabNameSelector],
@@ -30,7 +31,8 @@ const sizeOptsSelector = createSelector(
       width,
       height,
     };
-  }
+  },
+  defaultSelectorOptions
 );
 
 export default function ParamSize() {
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Upscale/ParamUpscaleSettings.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Upscale/ParamUpscaleSettings.tsx
index c858ae66a7..12911f07a9 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Upscale/ParamUpscaleSettings.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Upscale/ParamUpscaleSettings.tsx
@@ -1,13 +1,13 @@
 import { Flex, useDisclosure } from '@chakra-ui/react';
 import { upscaleRequested } from 'app/store/middleware/listenerMiddleware/listeners/upscaleRequested';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
 import IAIIconButton from 'common/components/IAIIconButton';
 import IAIPopover from 'common/components/IAIPopover';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
+import { useIsQueueMutationInProgress } from 'features/queue/hooks/useIsQueueMutationInProgress';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
-import { FaExpandArrowsAlt } from 'react-icons/fa';
+import { FaExpand } from 'react-icons/fa';
 import { ImageDTO } from 'services/api/types';
 import ParamESRGANModel from './ParamRealESRGANModel';
 
@@ -16,7 +16,7 @@ type Props = { imageDTO?: ImageDTO };
 const ParamUpscalePopover = (props: Props) => {
   const { imageDTO } = props;
   const dispatch = useAppDispatch();
-  const isBusy = useAppSelector(selectIsBusy);
+  const inProgress = useIsQueueMutationInProgress();
   const { t } = useTranslation();
   const { isOpen, onOpen, onClose } = useDisclosure();
 
@@ -34,8 +34,9 @@ const ParamUpscalePopover = (props: Props) => {
       onClose={onClose}
       triggerComponent={
         <IAIIconButton
+          tooltip={t('parameters.upscale')}
           onClick={onOpen}
-          icon={<FaExpandArrowsAlt />}
+          icon={<FaExpand />}
           aria-label={t('parameters.upscale')}
         />
       }
@@ -49,7 +50,7 @@ const ParamUpscalePopover = (props: Props) => {
         <ParamESRGANModel />
         <IAIButton
           size="sm"
-          isDisabled={!imageDTO || isBusy}
+          isDisabled={!imageDTO || inProgress}
           onClick={handleClickUpscale}
         >
           {t('parameters.upscaleImage')}
diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx
deleted file mode 100644
index 6a80ccb52f..0000000000
--- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx
+++ /dev/null
@@ -1,184 +0,0 @@
-import {
-  ButtonGroup,
-  ButtonProps,
-  ButtonSpinner,
-  Menu,
-  MenuButton,
-  MenuItemOption,
-  MenuList,
-  MenuOptionGroup,
-} from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAIIconButton from 'common/components/IAIIconButton';
-import { systemSelector } from 'features/system/store/systemSelectors';
-import {
-  CancelStrategy,
-  SystemState,
-  cancelScheduled,
-  cancelTypeChanged,
-} from 'features/system/store/systemSlice';
-import { isEqual } from 'lodash-es';
-import { memo, useCallback, useMemo } from 'react';
-
-import { useHotkeys } from 'react-hotkeys-hook';
-import { useTranslation } from 'react-i18next';
-import { MdCancel, MdCancelScheduleSend } from 'react-icons/md';
-
-import { ChevronDownIcon } from '@chakra-ui/icons';
-import { sessionCanceled } from 'services/api/thunks/session';
-import IAIButton from 'common/components/IAIButton';
-
-const cancelButtonSelector = createSelector(
-  systemSelector,
-  (system: SystemState) => {
-    return {
-      isProcessing: system.isProcessing,
-      isConnected: system.isConnected,
-      isCancelable: system.isCancelable,
-      currentIteration: system.currentIteration,
-      totalIterations: system.totalIterations,
-      sessionId: system.sessionId,
-      cancelType: system.cancelType,
-      isCancelScheduled: system.isCancelScheduled,
-    };
-  },
-  {
-    memoizeOptions: {
-      resultEqualityCheck: isEqual,
-    },
-  }
-);
-
-type Props = Omit<ButtonProps, 'aria-label'> & {
-  btnGroupWidth?: string | number;
-  asIconButton?: boolean;
-};
-
-const CancelButton = (props: Props) => {
-  const dispatch = useAppDispatch();
-  const { btnGroupWidth = 'auto', asIconButton = false, ...rest } = props;
-  const {
-    isProcessing,
-    isConnected,
-    isCancelable,
-    cancelType,
-    isCancelScheduled,
-    sessionId,
-  } = useAppSelector(cancelButtonSelector);
-
-  const handleClickCancel = useCallback(() => {
-    if (!sessionId) {
-      return;
-    }
-
-    if (cancelType === 'scheduled') {
-      dispatch(cancelScheduled());
-      return;
-    }
-
-    dispatch(sessionCanceled({ session_id: sessionId }));
-  }, [dispatch, sessionId, cancelType]);
-
-  const { t } = useTranslation();
-
-  const handleCancelTypeChanged = useCallback(
-    (value: string | string[]) => {
-      const newCancelType = Array.isArray(value) ? value[0] : value;
-      dispatch(cancelTypeChanged(newCancelType as CancelStrategy));
-    },
-    [dispatch]
-  );
-
-  useHotkeys(
-    'shift+x',
-    () => {
-      if ((isConnected || isProcessing) && isCancelable) {
-        handleClickCancel();
-      }
-    },
-    [isConnected, isProcessing, isCancelable]
-  );
-
-  const cancelLabel = useMemo(() => {
-    if (isCancelScheduled) {
-      return t('parameters.cancel.isScheduled');
-    }
-    if (cancelType === 'immediate') {
-      return t('parameters.cancel.immediate');
-    }
-
-    return t('parameters.cancel.schedule');
-  }, [t, cancelType, isCancelScheduled]);
-
-  const cancelIcon = useMemo(() => {
-    if (isCancelScheduled) {
-      return <ButtonSpinner />;
-    }
-    if (cancelType === 'immediate') {
-      return <MdCancel />;
-    }
-
-    return <MdCancelScheduleSend />;
-  }, [cancelType, isCancelScheduled]);
-
-  return (
-    <ButtonGroup isAttached width={btnGroupWidth}>
-      {asIconButton ? (
-        <IAIIconButton
-          icon={cancelIcon}
-          tooltip={cancelLabel}
-          aria-label={cancelLabel}
-          isDisabled={!isConnected || !isProcessing || !isCancelable}
-          onClick={handleClickCancel}
-          colorScheme="error"
-          id="cancel-button"
-          {...rest}
-        />
-      ) : (
-        <IAIButton
-          leftIcon={cancelIcon}
-          tooltip={cancelLabel}
-          aria-label={cancelLabel}
-          isDisabled={!isConnected || !isProcessing || !isCancelable}
-          onClick={handleClickCancel}
-          colorScheme="error"
-          id="cancel-button"
-          {...rest}
-        >
-          {t('parameters.cancel.cancel')}
-        </IAIButton>
-      )}
-      <Menu closeOnSelect={false}>
-        <MenuButton
-          as={IAIIconButton}
-          tooltip={t('parameters.cancel.setType')}
-          aria-label={t('parameters.cancel.setType')}
-          icon={<ChevronDownIcon w="1em" h="1em" />}
-          paddingX={0}
-          paddingY={0}
-          colorScheme="error"
-          minWidth={5}
-          {...rest}
-        />
-        <MenuList minWidth="240px">
-          <MenuOptionGroup
-            value={cancelType}
-            title="Cancel Type"
-            type="radio"
-            onChange={handleCancelTypeChanged}
-          >
-            <MenuItemOption value="immediate">
-              {t('parameters.cancel.immediate')}
-            </MenuItemOption>
-            <MenuItemOption value="scheduled">
-              {t('parameters.cancel.schedule')}
-            </MenuItemOption>
-          </MenuOptionGroup>
-        </MenuList>
-      </Menu>
-    </ButtonGroup>
-  );
-};
-
-export default memo(CancelButton);
diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx
deleted file mode 100644
index 0b81fceed7..0000000000
--- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx
+++ /dev/null
@@ -1,174 +0,0 @@
-import {
-  Box,
-  Divider,
-  Flex,
-  ListItem,
-  Text,
-  UnorderedList,
-} from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { userInvoked } from 'app/store/actions';
-import { stateSelector } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAIButton, { IAIButtonProps } from 'common/components/IAIButton';
-import IAIIconButton, {
-  IAIIconButtonProps,
-} from 'common/components/IAIIconButton';
-import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
-import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
-import ProgressBar from 'features/system/components/ProgressBar';
-import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
-import { memo, useCallback } from 'react';
-import { useHotkeys } from 'react-hotkeys-hook';
-import { useTranslation } from 'react-i18next';
-import { FaPlay } from 'react-icons/fa';
-import { useBoardName } from 'services/api/hooks/useBoardName';
-
-interface InvokeButton
-  extends Omit<IAIButtonProps | IAIIconButtonProps, 'aria-label'> {
-  asIconButton?: boolean;
-}
-
-export default function InvokeButton(props: InvokeButton) {
-  const { asIconButton = false, sx, ...rest } = props;
-  const dispatch = useAppDispatch();
-  const { isReady, isProcessing } = useIsReadyToInvoke();
-  const activeTabName = useAppSelector(activeTabNameSelector);
-
-  const handleInvoke = useCallback(() => {
-    dispatch(clampSymmetrySteps());
-    dispatch(userInvoked(activeTabName));
-  }, [dispatch, activeTabName]);
-
-  const { t } = useTranslation();
-
-  useHotkeys(
-    ['ctrl+enter', 'meta+enter'],
-    handleInvoke,
-    {
-      enabled: () => isReady,
-      preventDefault: true,
-      enableOnFormTags: ['input', 'textarea', 'select'],
-    },
-    [isReady, activeTabName]
-  );
-
-  return (
-    <Box style={{ flexGrow: 4 }} position="relative">
-      <Box style={{ position: 'relative' }}>
-        {!isReady && (
-          <Box
-            sx={{
-              position: 'absolute',
-              bottom: '0',
-              left: '0',
-              right: '0',
-              height: '100%',
-              overflow: 'clip',
-              borderRadius: 'base',
-              ...sx,
-            }}
-            {...rest}
-          >
-            <ProgressBar />
-          </Box>
-        )}
-        {asIconButton ? (
-          <IAIIconButton
-            aria-label={t('parameters.invoke.invoke')}
-            type="submit"
-            icon={<FaPlay />}
-            isDisabled={!isReady}
-            onClick={handleInvoke}
-            tooltip={<InvokeButtonTooltipContent />}
-            colorScheme="accent"
-            isLoading={isProcessing}
-            id="invoke-button"
-            data-progress={isProcessing}
-            sx={{
-              w: 'full',
-              flexGrow: 1,
-              ...sx,
-            }}
-            {...rest}
-          />
-        ) : (
-          <IAIButton
-            tooltip={<InvokeButtonTooltipContent />}
-            aria-label={t('parameters.invoke.invoke')}
-            type="submit"
-            data-progress={isProcessing}
-            isDisabled={!isReady}
-            onClick={handleInvoke}
-            colorScheme="accent"
-            id="invoke-button"
-            leftIcon={isProcessing ? undefined : <FaPlay />}
-            isLoading={isProcessing}
-            loadingText={t('parameters.invoke.invoke')}
-            sx={{
-              w: 'full',
-              flexGrow: 1,
-              fontWeight: 700,
-              ...sx,
-            }}
-            {...rest}
-          >
-            Invoke
-          </IAIButton>
-        )}
-      </Box>
-    </Box>
-  );
-}
-
-const tooltipSelector = createSelector(
-  [stateSelector],
-  ({ gallery }) => {
-    const { autoAddBoardId } = gallery;
-
-    return {
-      autoAddBoardId,
-    };
-  },
-  defaultSelectorOptions
-);
-
-export const InvokeButtonTooltipContent = memo(() => {
-  const { isReady, reasons } = useIsReadyToInvoke();
-  const { autoAddBoardId } = useAppSelector(tooltipSelector);
-  const autoAddBoardName = useBoardName(autoAddBoardId);
-  const { t } = useTranslation();
-
-  return (
-    <Flex flexDir="column" gap={1}>
-      <Text fontWeight={600}>
-        {isReady
-          ? t('parameters.invoke.readyToInvoke')
-          : t('parameters.invoke.unableToInvoke')}
-      </Text>
-      {reasons.length > 0 && (
-        <UnorderedList>
-          {reasons.map((reason, i) => (
-            <ListItem key={`${reason}.${i}`}>
-              <Text fontWeight={400}>{reason}</Text>
-            </ListItem>
-          ))}
-        </UnorderedList>
-      )}
-      <Divider
-        opacity={0.2}
-        borderColor="base.50"
-        _dark={{ borderColor: 'base.900' }}
-      />
-      <Text fontWeight={400} fontStyle="oblique 10deg">
-        {t('parameters.invoke.addingImagesTo')}{' '}
-        <Text as="span" fontWeight={600}>
-          {autoAddBoardName || 'Uncategorized'}
-        </Text>
-      </Text>
-    </Flex>
-  );
-});
-
-InvokeButtonTooltipContent.displayName = 'InvokeButtonTooltipContent';
diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/ProcessButtons.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/ProcessButtons.tsx
deleted file mode 100644
index 41f1f3c918..0000000000
--- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/ProcessButtons.tsx
+++ /dev/null
@@ -1,18 +0,0 @@
-import { Flex } from '@chakra-ui/react';
-import { memo } from 'react';
-import CancelButton from './CancelButton';
-import InvokeButton from './InvokeButton';
-
-/**
- * Buttons to start and cancel image generation.
- */
-const ProcessButtons = () => {
-  return (
-    <Flex layerStyle="first" sx={{ gap: 2, borderRadius: 'base', p: 2 }}>
-      <InvokeButton />
-      <CancelButton />
-    </Flex>
-  );
-};
-
-export default memo(ProcessButtons);
diff --git a/invokeai/frontend/web/src/features/parameters/util/useCoreParametersCollapseLabel.ts b/invokeai/frontend/web/src/features/parameters/util/useCoreParametersCollapseLabel.ts
new file mode 100644
index 0000000000..3d17ae47ea
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/util/useCoreParametersCollapseLabel.ts
@@ -0,0 +1,34 @@
+import { useAppSelector } from 'app/store/storeHooks';
+import { useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+
+export const useCoreParametersCollapseLabel = () => {
+  const { t } = useTranslation();
+  const shouldRandomizeSeed = useAppSelector(
+    (state) => state.generation.shouldRandomizeSeed
+  );
+  const iterations = useAppSelector((state) => state.generation.iterations);
+
+  const iterationsLabel = useMemo(() => {
+    if (iterations === 1) {
+      return t('parameters.iterationsWithCount_one', { count: 1 });
+    } else {
+      return t('parameters.iterationsWithCount_other', { count: iterations });
+    }
+  }, [iterations, t]);
+
+  const seedLabel = useMemo(() => {
+    if (shouldRandomizeSeed) {
+      return t('parameters.randomSeed');
+    } else {
+      return t('parameters.manualSeed');
+    }
+  }, [shouldRandomizeSeed, t]);
+
+  const iterationsAndSeedLabel = useMemo(
+    () => [iterationsLabel, seedLabel].join(', '),
+    [iterationsLabel, seedLabel]
+  );
+
+  return { iterationsAndSeedLabel, iterationsLabel, seedLabel };
+};
diff --git a/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx b/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx
new file mode 100644
index 0000000000..b08f6e9e20
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx
@@ -0,0 +1,33 @@
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaTimes } from 'react-icons/fa';
+import { useCancelCurrentQueueItem } from '../hooks/useCancelCurrentQueueItem';
+import QueueButton from './common/QueueButton';
+import { ChakraProps } from '@chakra-ui/react';
+
+type Props = {
+  asIconButton?: boolean;
+  sx?: ChakraProps['sx'];
+};
+
+const CancelCurrentQueueItemButton = ({ asIconButton, sx }: Props) => {
+  const { t } = useTranslation();
+  const { cancelQueueItem, isLoading, currentQueueItemId } =
+    useCancelCurrentQueueItem();
+
+  return (
+    <QueueButton
+      isDisabled={!currentQueueItemId}
+      isLoading={isLoading}
+      asIconButton={asIconButton}
+      label={t('queue.cancel')}
+      tooltip={t('queue.cancelTooltip')}
+      icon={<FaTimes />}
+      onClick={cancelQueueItem}
+      colorScheme="error"
+      sx={sx}
+    />
+  );
+};
+
+export default memo(CancelCurrentQueueItemButton);
diff --git a/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx
new file mode 100644
index 0000000000..1cf7665983
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx
@@ -0,0 +1,32 @@
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaTrash } from 'react-icons/fa';
+import { useClearQueue } from '../hooks/useClearQueue';
+import QueueButton from './common/QueueButton';
+import { ChakraProps } from '@chakra-ui/react';
+
+type Props = {
+  asIconButton?: boolean;
+  sx?: ChakraProps['sx'];
+};
+
+const ClearQueueButton = ({ asIconButton, sx }: Props) => {
+  const { t } = useTranslation();
+  const { clearQueue, isLoading, queueStatus } = useClearQueue();
+
+  return (
+    <QueueButton
+      isDisabled={!queueStatus?.queue.total}
+      isLoading={isLoading}
+      asIconButton={asIconButton}
+      label={t('queue.clear')}
+      tooltip={t('queue.clearTooltip')}
+      icon={<FaTrash />}
+      onClick={clearQueue}
+      colorScheme="error"
+      sx={sx}
+    />
+  );
+};
+
+export default memo(ClearQueueButton);
diff --git a/invokeai/frontend/web/src/features/queue/components/CurrentQueueItemCard.tsx b/invokeai/frontend/web/src/features/queue/components/CurrentQueueItemCard.tsx
new file mode 100644
index 0000000000..2f7fc6fd8b
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/CurrentQueueItemCard.tsx
@@ -0,0 +1,18 @@
+import { memo } from 'react';
+import QueueItemCard from './common/QueueItemCard';
+import { useGetCurrentQueueItemQuery } from 'services/api/endpoints/queue';
+import { useTranslation } from 'react-i18next';
+
+const CurrentQueueItemCard = () => {
+  const { t } = useTranslation();
+  const { data: currentQueueItemData } = useGetCurrentQueueItemQuery();
+
+  return (
+    <QueueItemCard
+      label={t('queue.current')}
+      session_queue_item={currentQueueItemData}
+    />
+  );
+};
+
+export default memo(CurrentQueueItemCard);
diff --git a/invokeai/frontend/web/src/features/queue/components/NextQueueItemCard.tsx b/invokeai/frontend/web/src/features/queue/components/NextQueueItemCard.tsx
new file mode 100644
index 0000000000..f9b9e874ab
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/NextQueueItemCard.tsx
@@ -0,0 +1,18 @@
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useGetNextQueueItemQuery } from 'services/api/endpoints/queue';
+import QueueItemCard from './common/QueueItemCard';
+
+const NextQueueItemCard = () => {
+  const { t } = useTranslation();
+  const { data: nextQueueItemData } = useGetNextQueueItemQuery();
+
+  return (
+    <QueueItemCard
+      label={t('queue.next')}
+      session_queue_item={nextQueueItemData}
+    />
+  );
+};
+
+export default memo(NextQueueItemCard);
diff --git a/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx b/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx
new file mode 100644
index 0000000000..6de357b11f
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx
@@ -0,0 +1,29 @@
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaPause } from 'react-icons/fa';
+import { usePauseProcessor } from '../hooks/usePauseProcessor';
+import QueueButton from './common/QueueButton';
+
+type Props = {
+  asIconButton?: boolean;
+};
+
+const PauseProcessorButton = ({ asIconButton }: Props) => {
+  const { t } = useTranslation();
+  const { pauseProcessor, isLoading, isStarted } = usePauseProcessor();
+
+  return (
+    <QueueButton
+      asIconButton={asIconButton}
+      label={t('queue.pause')}
+      tooltip={t('queue.pauseTooltip')}
+      isDisabled={!isStarted}
+      isLoading={isLoading}
+      icon={<FaPause />}
+      onClick={pauseProcessor}
+      colorScheme="gold"
+    />
+  );
+};
+
+export default memo(PauseProcessorButton);
diff --git a/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx
new file mode 100644
index 0000000000..5aded74b45
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx
@@ -0,0 +1,29 @@
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { BsStars } from 'react-icons/bs';
+import { usePruneQueue } from '../hooks/usePruneQueue';
+import QueueButton from './common/QueueButton';
+
+type Props = {
+  asIconButton?: boolean;
+};
+
+const PruneQueueButton = ({ asIconButton }: Props) => {
+  const { t } = useTranslation();
+  const { pruneQueue, isLoading, finishedCount } = usePruneQueue();
+
+  return (
+    <QueueButton
+      isDisabled={!finishedCount}
+      isLoading={isLoading}
+      asIconButton={asIconButton}
+      label={t('queue.prune')}
+      tooltip={t('queue.pruneTooltip', { item_count: finishedCount })}
+      icon={<BsStars />}
+      onClick={pruneQueue}
+      colorScheme="blue"
+    />
+  );
+};
+
+export default memo(PruneQueueButton);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx b/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx
new file mode 100644
index 0000000000..54dfa1ffb8
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx
@@ -0,0 +1,32 @@
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaPlus } from 'react-icons/fa';
+import { useQueueBack } from '../hooks/useQueueBack';
+import EnqueueButtonTooltip from './QueueButtonTooltip';
+import QueueButton from './common/QueueButton';
+import { ChakraProps } from '@chakra-ui/react';
+
+type Props = {
+  asIconButton?: boolean;
+  sx?: ChakraProps['sx'];
+};
+
+const QueueBackButton = ({ asIconButton, sx }: Props) => {
+  const { t } = useTranslation();
+  const { queueBack, isLoading, isDisabled } = useQueueBack();
+  return (
+    <QueueButton
+      asIconButton={asIconButton}
+      colorScheme="accent"
+      label={t('queue.queueBack')}
+      isDisabled={isDisabled}
+      isLoading={isLoading}
+      onClick={queueBack}
+      tooltip={<EnqueueButtonTooltip />}
+      icon={<FaPlus />}
+      sx={sx}
+    />
+  );
+};
+
+export default memo(QueueBackButton);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx b/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx
new file mode 100644
index 0000000000..eccb2d4628
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx
@@ -0,0 +1,82 @@
+import { Divider, Flex, ListItem, Text, UnorderedList } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue';
+import { memo, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useEnqueueBatchMutation } from 'services/api/endpoints/queue';
+import { useBoardName } from 'services/api/hooks/useBoardName';
+
+const tooltipSelector = createSelector(
+  [stateSelector],
+  ({ gallery }) => {
+    const { autoAddBoardId } = gallery;
+    return {
+      autoAddBoardId,
+    };
+  },
+  defaultSelectorOptions
+);
+
+type Props = {
+  prepend?: boolean;
+};
+
+const QueueButtonTooltipContent = ({ prepend = false }: Props) => {
+  const { t } = useTranslation();
+  const { isReady, reasons } = useIsReadyToEnqueue();
+  const { autoAddBoardId } = useAppSelector(tooltipSelector);
+  const autoAddBoardName = useBoardName(autoAddBoardId);
+  const [_, { isLoading }] = useEnqueueBatchMutation({
+    fixedCacheKey: 'enqueueBatch',
+  });
+
+  const label = useMemo(() => {
+    if (isLoading) {
+      return t('queue.enqueueing');
+    }
+    if (isReady) {
+      if (prepend) {
+        return t('queue.queueFront');
+      }
+      return t('queue.queueBack');
+    }
+    return t('queue.notReady');
+  }, [isLoading, isReady, prepend, t]);
+
+  return (
+    <Flex flexDir="column" gap={1}>
+      <Text fontWeight={600}>{label}</Text>
+      {reasons.length > 0 && (
+        <UnorderedList>
+          {reasons.map((reason, i) => (
+            <ListItem key={`${reason}.${i}`}>
+              <Text fontWeight={400}>{reason}</Text>
+            </ListItem>
+          ))}
+        </UnorderedList>
+      )}
+      <StyledDivider />
+      <Text fontWeight={400} fontStyle="oblique 10deg">
+        Adding images to{' '}
+        <Text as="span" fontWeight={600}>
+          {autoAddBoardName || 'Uncategorized'}
+        </Text>
+      </Text>
+    </Flex>
+  );
+};
+
+export default memo(QueueButtonTooltipContent);
+
+const StyledDivider = memo(() => (
+  <Divider
+    opacity={0.2}
+    borderColor="base.50"
+    _dark={{ borderColor: 'base.900' }}
+  />
+));
+
+StyledDivider.displayName = 'StyledDivider';
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueControls.tsx b/invokeai/frontend/web/src/features/queue/components/QueueControls.tsx
new file mode 100644
index 0000000000..b19b2425b2
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueControls.tsx
@@ -0,0 +1,100 @@
+import { Button, ButtonGroup, Flex, Spacer } from '@chakra-ui/react';
+import { useAppDispatch } from 'app/store/storeHooks';
+import CancelCurrentQueueItemButton from 'features/queue/components/CancelCurrentQueueItemButton';
+import ClearQueueButton from 'features/queue/components/ClearQueueButton';
+import PauseProcessorButton from 'features/queue/components/PauseProcessorButton';
+import QueueBackButton from 'features/queue/components/QueueBackButton';
+import QueueFrontButton from 'features/queue/components/QueueFrontButton';
+import ResumeProcessorButton from 'features/queue/components/ResumeProcessorButton';
+import ProgressBar from 'features/system/components/ProgressBar';
+import { setActiveTab } from 'features/ui/store/uiSlice';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useGetQueueStatusQuery } from 'services/api/endpoints/queue';
+import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
+
+const QueueControls = () => {
+  const isPauseEnabled = useFeatureStatus('pauseQueue').isFeatureEnabled;
+  const isResumeEnabled = useFeatureStatus('resumeQueue').isFeatureEnabled;
+  const isPrependEnabled = useFeatureStatus('prependQueue').isFeatureEnabled;
+  return (
+    <Flex
+      layerStyle="first"
+      sx={{
+        w: 'full',
+        position: 'relative',
+        borderRadius: 'base',
+        p: 2,
+        gap: 2,
+        flexDir: 'column',
+      }}
+    >
+      <Flex gap={2} w="full">
+        <ButtonGroup isAttached flexGrow={2}>
+          <QueueBackButton />
+          {isPrependEnabled ? <QueueFrontButton asIconButton /> : <></>}
+          <CancelCurrentQueueItemButton asIconButton />
+        </ButtonGroup>
+        <ButtonGroup isAttached>
+          {isResumeEnabled ? <ResumeProcessorButton asIconButton /> : <></>}
+          {isPauseEnabled ? <PauseProcessorButton asIconButton /> : <></>}
+        </ButtonGroup>
+        <ClearQueueButton asIconButton />
+      </Flex>
+      <Flex h={3} w="full">
+        <ProgressBar />
+      </Flex>
+      <QueueCounts />
+    </Flex>
+  );
+};
+
+export default memo(QueueControls);
+
+const QueueCounts = memo(() => {
+  const { t } = useTranslation();
+  const dispatch = useAppDispatch();
+  const { hasItems, pending } = useGetQueueStatusQuery(undefined, {
+    selectFromResult: ({ data }) => {
+      if (!data) {
+        return {
+          hasItems: false,
+          pending: 0,
+        };
+      }
+
+      const { pending, in_progress } = data.queue;
+
+      return {
+        hasItems: pending + in_progress > 0,
+        pending,
+      };
+    },
+  });
+
+  const handleClick = useCallback(() => {
+    dispatch(setActiveTab('queue'));
+  }, [dispatch]);
+
+  return (
+    <Flex justifyContent="space-between" alignItems="center" pe={1}>
+      <Spacer />
+      <Button
+        onClick={handleClick}
+        size="sm"
+        variant="link"
+        fontWeight={400}
+        opacity={0.7}
+        fontStyle="oblique 10deg"
+      >
+        {hasItems
+          ? t('queue.queuedCount', {
+              pending,
+            })
+          : t('queue.queueEmpty')}
+      </Button>
+    </Flex>
+  );
+});
+
+QueueCounts.displayName = 'QueueCounts';
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx b/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx
new file mode 100644
index 0000000000..09ddd47ac0
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx
@@ -0,0 +1,32 @@
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaBoltLightning } from 'react-icons/fa6';
+import { useQueueFront } from '../hooks/useQueueFront';
+import EnqueueButtonTooltip from './QueueButtonTooltip';
+import QueueButton from './common/QueueButton';
+import { ChakraProps } from '@chakra-ui/react';
+
+type Props = {
+  asIconButton?: boolean;
+  sx?: ChakraProps['sx'];
+};
+
+const QueueFrontButton = ({ asIconButton, sx }: Props) => {
+  const { t } = useTranslation();
+  const { queueFront, isLoading, isDisabled } = useQueueFront();
+  return (
+    <QueueButton
+      asIconButton={asIconButton}
+      colorScheme="base"
+      label={t('queue.queueFront')}
+      isDisabled={isDisabled}
+      isLoading={isLoading}
+      onClick={queueFront}
+      tooltip={<EnqueueButtonTooltip prepend />}
+      icon={<FaBoltLightning />}
+      sx={sx}
+    />
+  );
+};
+
+export default memo(QueueFrontButton);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx
new file mode 100644
index 0000000000..637e6e20c2
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx
@@ -0,0 +1,153 @@
+import {
+  ButtonGroup,
+  ChakraProps,
+  Collapse,
+  Flex,
+  Text,
+} from '@chakra-ui/react';
+import IAIIconButton from 'common/components/IAIIconButton';
+import { useCancelQueueItem } from 'features/queue/hooks/useCancelQueueItem';
+import { getSecondsFromTimestamps } from 'features/queue/util/getSecondsFromTimestamps';
+import { MouseEvent, memo, useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaTimes } from 'react-icons/fa';
+import { SessionQueueItemDTO } from 'services/api/types';
+import QueueStatusBadge from '../common/QueueStatusBadge';
+import QueueItemDetail from './QueueItemDetail';
+import { COLUMN_WIDTHS } from './constants';
+import { ListContext } from './types';
+
+const selectedStyles = { bg: 'base.300', _dark: { bg: 'base.750' } };
+
+type InnerItemProps = {
+  index: number;
+  item: SessionQueueItemDTO;
+  context: ListContext;
+};
+
+const sx: ChakraProps['sx'] = {
+  _hover: selectedStyles,
+  "&[aria-selected='true']": selectedStyles,
+};
+
+const QueueItemComponent = ({ index, item, context }: InnerItemProps) => {
+  const { t } = useTranslation();
+  const handleToggle = useCallback(() => {
+    context.toggleQueueItem(item.item_id);
+  }, [context, item.item_id]);
+  const { cancelQueueItem, isLoading } = useCancelQueueItem(item.item_id);
+  const handleCancelQueueItem = useCallback(
+    (e: MouseEvent<HTMLButtonElement>) => {
+      e.stopPropagation();
+      cancelQueueItem();
+    },
+    [cancelQueueItem]
+  );
+  const isOpen = useMemo(
+    () => context.openQueueItems.includes(item.item_id),
+    [context.openQueueItems, item.item_id]
+  );
+
+  const executionTime = useMemo(() => {
+    if (!item.completed_at || !item.started_at) {
+      return;
+    }
+    const seconds = getSecondsFromTimestamps(
+      item.started_at,
+      item.completed_at
+    );
+    return `${seconds}s`;
+  }, [item]);
+
+  return (
+    <Flex
+      flexDir="column"
+      borderRadius="base"
+      aria-selected={isOpen}
+      fontSize="sm"
+      justifyContent="center"
+      sx={sx}
+    >
+      <Flex
+        alignItems="center"
+        gap={4}
+        p={1.5}
+        cursor="pointer"
+        onClick={handleToggle}
+      >
+        <Flex
+          w={COLUMN_WIDTHS.number}
+          justifyContent="flex-end"
+          alignItems="center"
+          flexShrink={0}
+        >
+          <Text variant="subtext">{index + 1}</Text>
+        </Flex>
+        <Flex w={COLUMN_WIDTHS.statusBadge} alignItems="center" flexShrink={0}>
+          <QueueStatusBadge status={item.status} />
+        </Flex>
+        <Flex w={COLUMN_WIDTHS.time} alignItems="center" flexShrink={0}>
+          {executionTime || '-'}
+        </Flex>
+        <Flex w={COLUMN_WIDTHS.batchId} flexShrink={0}>
+          <Text
+            overflow="hidden"
+            textOverflow="ellipsis"
+            whiteSpace="nowrap"
+            alignItems="center"
+          >
+            {item.batch_id}
+          </Text>
+        </Flex>
+        <Flex alignItems="center" overflow="hidden" flexGrow={1}>
+          {item.field_values && (
+            <Flex
+              gap={2}
+              w="full"
+              whiteSpace="nowrap"
+              textOverflow="ellipsis"
+              overflow="hidden"
+            >
+              {item.field_values
+                .filter((v) => v.node_path !== 'metadata_accumulator')
+                .map(({ node_path, field_name, value }) => (
+                  <Text
+                    as="span"
+                    key={`${item.item_id}.${node_path}.${field_name}.${value}`}
+                  >
+                    <Text as="span" fontWeight={600}>
+                      {node_path}.{field_name}
+                    </Text>
+                    : {value}
+                  </Text>
+                ))}
+            </Flex>
+          )}
+        </Flex>
+        <Flex alignItems="center" w={COLUMN_WIDTHS.actions} pe={3}>
+          <ButtonGroup size="xs" variant="ghost">
+            <IAIIconButton
+              onClick={handleCancelQueueItem}
+              isLoading={isLoading}
+              isDisabled={['canceled', 'completed', 'failed'].includes(
+                item.status
+              )}
+              aria-label={t('queue.cancelItem')}
+              icon={<FaTimes />}
+            />
+          </ButtonGroup>
+        </Flex>
+      </Flex>
+
+      <Collapse
+        in={isOpen}
+        transition={{ enter: { duration: 0.1 }, exit: { duration: 0.1 } }}
+        unmountOnExit={true}
+      >
+        <QueueItemDetail queueItemDTO={item} />
+      </Collapse>
+    </Flex>
+  );
+};
+
+export default memo(QueueItemComponent);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx
new file mode 100644
index 0000000000..e0474a16de
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx
@@ -0,0 +1,153 @@
+import { ButtonGroup, Flex, Heading, Spinner, Text } from '@chakra-ui/react';
+import IAIButton from 'common/components/IAIButton';
+import DataViewer from 'features/gallery/components/ImageMetadataViewer/DataViewer';
+import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent';
+import { useCancelBatch } from 'features/queue/hooks/useCancelBatch';
+import { useCancelQueueItem } from 'features/queue/hooks/useCancelQueueItem';
+import { getSecondsFromTimestamps } from 'features/queue/util/getSecondsFromTimestamps';
+import { ReactNode, memo, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaTimes } from 'react-icons/fa';
+import { useGetQueueItemQuery } from 'services/api/endpoints/queue';
+import { SessionQueueItemDTO } from 'services/api/types';
+
+type Props = {
+  queueItemDTO: SessionQueueItemDTO;
+};
+
+const QueueItemComponent = ({ queueItemDTO }: Props) => {
+  const { session_id, batch_id, item_id } = queueItemDTO;
+  const { t } = useTranslation();
+  const {
+    cancelBatch,
+    isLoading: isLoadingCancelBatch,
+    isCanceled,
+  } = useCancelBatch(batch_id);
+
+  const { cancelQueueItem, isLoading: isLoadingCancelQueueItem } =
+    useCancelQueueItem(item_id);
+
+  const { data: queueItem } = useGetQueueItemQuery(item_id);
+
+  const statusAndTiming = useMemo(() => {
+    if (!queueItem) {
+      return '';
+    }
+    if (!queueItem.completed_at || !queueItem.started_at) {
+      return t(`queue.${queueItem.status}`);
+    }
+    const seconds = getSecondsFromTimestamps(
+      queueItem.started_at,
+      queueItem.completed_at
+    );
+    if (queueItem.status === 'completed') {
+      return `${t('queue.completedIn')} ${seconds}${seconds === 1 ? '' : 's'}`;
+    }
+    return `${seconds}s`;
+  }, [queueItem, t]);
+
+  return (
+    <Flex
+      layerStyle="third"
+      flexDir="column"
+      p={2}
+      pt={0}
+      borderRadius="base"
+      gap={2}
+    >
+      <Flex
+        layerStyle="second"
+        p={2}
+        gap={2}
+        justifyContent="space-between"
+        alignItems="center"
+        borderRadius="base"
+      >
+        <QueueItemData label={t('queue.status')} data={statusAndTiming} />
+        <QueueItemData label={t('queue.item')} data={item_id} />
+        <QueueItemData label={t('queue.batch')} data={batch_id} />
+        <QueueItemData label={t('queue.session')} data={session_id} />
+        <ButtonGroup size="xs" orientation="vertical">
+          <IAIButton
+            onClick={cancelQueueItem}
+            isLoading={isLoadingCancelQueueItem}
+            isDisabled={
+              queueItem
+                ? ['canceled', 'completed', 'failed'].includes(queueItem.status)
+                : true
+            }
+            aria-label={t('queue.cancelItem')}
+            icon={<FaTimes />}
+            colorScheme="error"
+          >
+            {t('queue.cancelItem')}
+          </IAIButton>
+          <IAIButton
+            onClick={cancelBatch}
+            isLoading={isLoadingCancelBatch}
+            isDisabled={isCanceled}
+            aria-label={t('queue.cancelBatch')}
+            icon={<FaTimes />}
+            colorScheme="error"
+          >
+            {t('queue.cancelBatch')}
+          </IAIButton>
+        </ButtonGroup>
+      </Flex>
+      {queueItem?.error && (
+        <Flex
+          layerStyle="second"
+          p={3}
+          gap={1}
+          justifyContent="space-between"
+          alignItems="flex-start"
+          borderRadius="base"
+          flexDir="column"
+        >
+          <Heading size="sm" color="error.500" _dark={{ color: 'error.400' }}>
+            Error
+          </Heading>
+          <pre>{queueItem.error}</pre>
+        </Flex>
+      )}
+      <Flex
+        layerStyle="second"
+        h={512}
+        w="full"
+        borderRadius="base"
+        alignItems="center"
+        justifyContent="center"
+      >
+        {queueItem ? (
+          <ScrollableContent>
+            <DataViewer label="Queue Item" data={queueItem} />
+          </ScrollableContent>
+        ) : (
+          <Spinner opacity={0.5} />
+        )}
+      </Flex>
+    </Flex>
+  );
+};
+
+export default memo(QueueItemComponent);
+
+type QueueItemDataProps = { label: string; data: ReactNode };
+
+const QueueItemData = ({ label, data }: QueueItemDataProps) => {
+  return (
+    <Flex flexDir="column" p={1} gap={1} overflow="hidden">
+      <Heading
+        size="sm"
+        overflow="hidden"
+        textOverflow="ellipsis"
+        whiteSpace="nowrap"
+      >
+        {label}
+      </Heading>
+      <Text overflow="hidden" textOverflow="ellipsis" whiteSpace="nowrap">
+        {data}
+      </Text>
+    </Flex>
+  );
+};
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueList.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueList.tsx
new file mode 100644
index 0000000000..dea1443489
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueList.tsx
@@ -0,0 +1,162 @@
+import { Flex, Heading } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import {
+  listCursorChanged,
+  listPriorityChanged,
+} from 'features/queue/store/queueSlice';
+import {
+  UseOverlayScrollbarsParams,
+  useOverlayScrollbars,
+} from 'overlayscrollbars-react';
+import { memo, useCallback, useEffect, useMemo, useRef, useState } from 'react';
+import { useTranslation } from 'react-i18next';
+import { Components, ItemContent, Virtuoso } from 'react-virtuoso';
+import {
+  queueItemsAdapter,
+  useListQueueItemsQuery,
+} from 'services/api/endpoints/queue';
+import { SessionQueueItemDTO } from 'services/api/types';
+import QueueItemComponent from './QueueItemComponent';
+import QueueListComponent from './QueueListComponent';
+import QueueListHeader from './QueueListHeader';
+import { ListContext } from './types';
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+type TableVirtuosoScrollerRef = (ref: HTMLElement | Window | null) => any;
+
+const overlayScrollbarsConfig: UseOverlayScrollbarsParams = {
+  defer: true,
+  options: {
+    scrollbars: {
+      visibility: 'auto',
+      autoHide: 'scroll',
+      autoHideDelay: 1300,
+      theme: 'os-theme-dark',
+    },
+    overflow: { x: 'hidden' },
+  },
+};
+
+const selector = createSelector(
+  stateSelector,
+  ({ queue }) => {
+    const { listCursor, listPriority } = queue;
+    return { listCursor, listPriority };
+  },
+  defaultSelectorOptions
+);
+
+const computeItemKey = (index: number, item: SessionQueueItemDTO): number =>
+  item.item_id;
+
+const components: Components<SessionQueueItemDTO, ListContext> = {
+  List: QueueListComponent,
+};
+
+const itemContent: ItemContent<SessionQueueItemDTO, ListContext> = (
+  index,
+  item,
+  context
+) => <QueueItemComponent index={index} item={item} context={context} />;
+
+const QueueList = () => {
+  const { listCursor, listPriority } = useAppSelector(selector);
+  const dispatch = useAppDispatch();
+  const rootRef = useRef<HTMLDivElement>(null);
+  const [scroller, setScroller] = useState<HTMLElement | null>(null);
+  const [initialize, osInstance] = useOverlayScrollbars(
+    overlayScrollbarsConfig
+  );
+  const { t } = useTranslation();
+
+  useEffect(() => {
+    const { current: root } = rootRef;
+    if (scroller && root) {
+      initialize({
+        target: root,
+        elements: {
+          viewport: scroller,
+        },
+      });
+    }
+    return () => osInstance()?.destroy();
+  }, [scroller, initialize, osInstance]);
+
+  const { data: listQueueItemsData } = useListQueueItemsQuery({
+    cursor: listCursor,
+    priority: listPriority,
+  });
+
+  const queueItems = useMemo(() => {
+    if (!listQueueItemsData) {
+      return [];
+    }
+    return queueItemsAdapter.getSelectors().selectAll(listQueueItemsData);
+  }, [listQueueItemsData]);
+
+  const handleLoadMore = useCallback(() => {
+    if (!listQueueItemsData?.has_more) {
+      return;
+    }
+    const lastItem = queueItems[queueItems.length - 1];
+    if (!lastItem) {
+      return;
+    }
+    dispatch(listCursorChanged(lastItem.item_id));
+    dispatch(listPriorityChanged(lastItem.priority));
+  }, [dispatch, listQueueItemsData?.has_more, queueItems]);
+
+  const [openQueueItems, setOpenQueueItems] = useState<number[]>([]);
+
+  const toggleQueueItem = useCallback((item_id: number) => {
+    setOpenQueueItems((prev) => {
+      if (prev.includes(item_id)) {
+        return prev.filter((id) => id !== item_id);
+      }
+      return [...prev, item_id];
+    });
+  }, []);
+
+  const context = useMemo<ListContext>(
+    () => ({ openQueueItems, toggleQueueItem }),
+    [openQueueItems, toggleQueueItem]
+  );
+
+  return (
+    <Flex w="full" h="full" flexDir="column">
+      {queueItems.length ? (
+        <>
+          <QueueListHeader />
+          <Flex
+            ref={rootRef}
+            w="full"
+            h="full"
+            alignItems="center"
+            justifyContent="center"
+          >
+            <Virtuoso<SessionQueueItemDTO, ListContext>
+              data={queueItems}
+              endReached={handleLoadMore}
+              scrollerRef={setScroller as TableVirtuosoScrollerRef}
+              itemContent={itemContent}
+              computeItemKey={computeItemKey}
+              components={components}
+              context={context}
+            />
+          </Flex>
+        </>
+      ) : (
+        <Flex w="full" h="full" alignItems="center" justifyContent="center">
+          <Heading color="base.400" _dark={{ color: 'base.500' }}>
+            {t('queue.queueEmpty')}
+          </Heading>
+        </Flex>
+      )}
+    </Flex>
+  );
+};
+
+export default memo(QueueList);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListComponent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListComponent.tsx
new file mode 100644
index 0000000000..ee123e2cd8
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListComponent.tsx
@@ -0,0 +1,18 @@
+import { Flex, forwardRef } from '@chakra-ui/react';
+import { memo } from 'react';
+import { Components } from 'react-virtuoso';
+import { SessionQueueItemDTO } from 'services/api/types';
+import { ListContext } from './types';
+
+const QueueListComponent: Components<SessionQueueItemDTO, ListContext>['List'] =
+  memo(
+    forwardRef((props, ref) => {
+      return (
+        <Flex {...props} ref={ref} flexDirection="column" gap={0.5}>
+          {props.children}
+        </Flex>
+      );
+    })
+  );
+
+export default memo(QueueListComponent);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx
new file mode 100644
index 0000000000..2b00e10e48
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx
@@ -0,0 +1,40 @@
+import { Flex, Text } from '@chakra-ui/react';
+import { memo } from 'react';
+import { COLUMN_WIDTHS } from './constants';
+
+const QueueListHeader = () => {
+  return (
+    <Flex
+      alignItems="center"
+      gap={4}
+      p={1}
+      pb={2}
+      textTransform="uppercase"
+      fontWeight={700}
+      fontSize="xs"
+      letterSpacing={1}
+    >
+      <Flex
+        w={COLUMN_WIDTHS.number}
+        justifyContent="flex-end"
+        alignItems="center"
+      >
+        <Text variant="subtext">#</Text>
+      </Flex>
+      <Flex w={COLUMN_WIDTHS.statusBadge} alignItems="center">
+        <Text variant="subtext">status</Text>
+      </Flex>
+      <Flex w={COLUMN_WIDTHS.time} alignItems="center">
+        <Text variant="subtext">time</Text>
+      </Flex>
+      <Flex w={COLUMN_WIDTHS.batchId} alignItems="center">
+        <Text variant="subtext">batch</Text>
+      </Flex>
+      <Flex alignItems="center" w={COLUMN_WIDTHS.fieldValues}>
+        <Text variant="subtext">batch field values</Text>
+      </Flex>
+    </Flex>
+  );
+};
+
+export default memo(QueueListHeader);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/constants.ts b/invokeai/frontend/web/src/features/queue/components/QueueList/constants.ts
new file mode 100644
index 0000000000..b44a1daf9c
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueList/constants.ts
@@ -0,0 +1,9 @@
+export const COLUMN_WIDTHS = {
+  number: '3rem',
+  statusBadge: '5.7rem',
+  statusDot: 2,
+  time: '4rem',
+  batchId: '5rem',
+  fieldValues: 'auto',
+  actions: 'auto',
+};
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/types.ts b/invokeai/frontend/web/src/features/queue/components/QueueList/types.ts
new file mode 100644
index 0000000000..c9b317ac57
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueList/types.ts
@@ -0,0 +1,4 @@
+export type ListContext = {
+  openQueueItems: number[];
+  toggleQueueItem: (item_id: number) => void;
+};
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx b/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx
new file mode 100644
index 0000000000..72dfdd77ad
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx
@@ -0,0 +1,39 @@
+import { Stat, StatGroup, StatLabel, StatNumber } from '@chakra-ui/react';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useGetQueueStatusQuery } from 'services/api/endpoints/queue';
+
+const QueueStatus = () => {
+  const { data: queueStatus } = useGetQueueStatusQuery();
+  const { t } = useTranslation();
+  return (
+    <StatGroup alignItems="center" justifyContent="center" w="full" h="full">
+      <Stat w={24}>
+        <StatLabel>{t('queue.in_progress')}</StatLabel>
+        <StatNumber>{queueStatus?.queue.in_progress ?? 0}</StatNumber>
+      </Stat>
+      <Stat w={24}>
+        <StatLabel>{t('queue.pending')}</StatLabel>
+        <StatNumber>{queueStatus?.queue.pending ?? 0}</StatNumber>
+      </Stat>
+      <Stat w={24}>
+        <StatLabel>{t('queue.completed')}</StatLabel>
+        <StatNumber>{queueStatus?.queue.completed ?? 0}</StatNumber>
+      </Stat>
+      <Stat w={24}>
+        <StatLabel>{t('queue.failed')}</StatLabel>
+        <StatNumber>{queueStatus?.queue.failed ?? 0}</StatNumber>
+      </Stat>
+      <Stat w={24}>
+        <StatLabel>{t('queue.canceled')}</StatLabel>
+        <StatNumber>{queueStatus?.queue.canceled ?? 0}</StatNumber>
+      </Stat>
+      <Stat w={24}>
+        <StatLabel>{t('queue.total')}</StatLabel>
+        <StatNumber>{queueStatus?.queue.total}</StatNumber>
+      </Stat>
+    </StatGroup>
+  );
+};
+
+export default memo(QueueStatus);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueStatusCard.tsx b/invokeai/frontend/web/src/features/queue/components/QueueStatusCard.tsx
new file mode 100644
index 0000000000..fb57500461
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueStatusCard.tsx
@@ -0,0 +1,54 @@
+import { Flex, Heading, Text } from '@chakra-ui/react';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useGetQueueStatusQuery } from 'services/api/endpoints/queue';
+
+const QueueStatusCard = () => {
+  const { t } = useTranslation();
+  const { data: queueStatus } = useGetQueueStatusQuery();
+
+  return (
+    <Flex
+      layerStyle="second"
+      borderRadius="base"
+      p={2}
+      flexDir="column"
+      gap={1}
+      w={96}
+    >
+      <Heading size="md">{t('queue.status')}</Heading>
+      <Text>
+        <Text as="span" fontWeight={600}>
+          {t('queue.pending')}:{' '}
+        </Text>
+        {queueStatus?.queue.pending}
+      </Text>
+      <Text>
+        <Text as="span" fontWeight={600}>
+          {t('queue.in_progress')}:{' '}
+        </Text>
+        {queueStatus?.queue.in_progress}
+      </Text>
+      <Text>
+        <Text as="span" fontWeight={600}>
+          {t('queue.completed')}:{' '}
+        </Text>
+        {queueStatus?.queue.completed}
+      </Text>
+      <Text>
+        <Text as="span" fontWeight={600}>
+          {t('queue.failed')}:{' '}
+        </Text>
+        {queueStatus?.queue.failed}
+      </Text>
+      <Text>
+        <Text as="span" fontWeight={600}>
+          {t('queue.canceled')}:{' '}
+        </Text>
+        {queueStatus?.queue.canceled}
+      </Text>
+    </Flex>
+  );
+};
+
+export default memo(QueueStatusCard);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx
new file mode 100644
index 0000000000..254e34c453
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx
@@ -0,0 +1,61 @@
+import { Box, ButtonGroup, Flex } from '@chakra-ui/react';
+import { memo } from 'react';
+import ClearQueueButton from './ClearQueueButton';
+import PauseProcessorButton from './PauseProcessorButton';
+import PruneQueueButton from './PruneQueueButton';
+import QueueList from './QueueList/QueueList';
+import QueueStatus from './QueueStatus';
+import ResumeProcessorButton from './ResumeProcessorButton';
+import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
+
+const QueueTabContent = () => {
+  const isPauseEnabled = useFeatureStatus('pauseQueue').isFeatureEnabled;
+  const isResumeEnabled = useFeatureStatus('resumeQueue').isFeatureEnabled;
+
+  return (
+    <Flex
+      layerStyle="first"
+      borderRadius="base"
+      w="full"
+      h="full"
+      p={2}
+      flexDir="column"
+      gap={2}
+    >
+      <Flex gap={2} w="full">
+        <Flex layerStyle="second" borderRadius="base" p={2} gap={2}>
+          {isPauseEnabled || isResumeEnabled ? (
+            <ButtonGroup w={28} orientation="vertical" isAttached size="sm">
+              {isResumeEnabled ? <ResumeProcessorButton /> : <></>}
+              {isPauseEnabled ? <PauseProcessorButton /> : <></>}
+            </ButtonGroup>
+          ) : (
+            <></>
+          )}
+          <ButtonGroup w={28} orientation="vertical" isAttached size="sm">
+            <PruneQueueButton />
+            <ClearQueueButton />
+          </ButtonGroup>
+        </Flex>
+        <Flex
+          layerStyle="second"
+          borderRadius="base"
+          flexDir="column"
+          py={2}
+          px={3}
+          gap={2}
+        >
+          <QueueStatus />
+        </Flex>
+        {/* <QueueStatusCard />
+        <CurrentQueueItemCard />
+        <NextQueueItemCard /> */}
+      </Flex>
+      <Box layerStyle="second" p={2} borderRadius="base" w="full" h="full">
+        <QueueList />
+      </Box>
+    </Flex>
+  );
+};
+
+export default memo(QueueTabContent);
diff --git a/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx b/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx
new file mode 100644
index 0000000000..c0be296260
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx
@@ -0,0 +1,29 @@
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaPlay } from 'react-icons/fa';
+import { useResumeProcessor } from '../hooks/useResumeProcessor';
+import QueueButton from './common/QueueButton';
+
+type Props = {
+  asIconButton?: boolean;
+};
+
+const ResumeProcessorButton = ({ asIconButton }: Props) => {
+  const { t } = useTranslation();
+  const { resumeProcessor, isLoading, isStarted } = useResumeProcessor();
+
+  return (
+    <QueueButton
+      asIconButton={asIconButton}
+      label={t('queue.resume')}
+      tooltip={t('queue.resumeTooltip')}
+      isDisabled={isStarted}
+      isLoading={isLoading}
+      icon={<FaPlay />}
+      onClick={resumeProcessor}
+      colorScheme="green"
+    />
+  );
+};
+
+export default memo(ResumeProcessorButton);
diff --git a/invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx b/invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx
new file mode 100644
index 0000000000..665eaf190a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx
@@ -0,0 +1,27 @@
+import { ButtonGroup, ButtonGroupProps, Flex } from '@chakra-ui/react';
+import { memo } from 'react';
+import ClearQueueButton from './ClearQueueButton';
+import PauseProcessorButton from './PauseProcessorButton';
+import PruneQueueButton from './PruneQueueButton';
+import ResumeProcessorButton from './ResumeProcessorButton';
+
+type Props = ButtonGroupProps & {
+  asIconButtons?: boolean;
+};
+
+const VerticalQueueControls = ({ asIconButtons, ...rest }: Props) => {
+  return (
+    <Flex flexDir="column" gap={2}>
+      <ButtonGroup w="full" isAttached {...rest}>
+        <ResumeProcessorButton asIconButton={asIconButtons} />
+        <PauseProcessorButton asIconButton={asIconButtons} />
+      </ButtonGroup>
+      <ButtonGroup w="full" isAttached {...rest}>
+        <PruneQueueButton asIconButton={asIconButtons} />
+        <ClearQueueButton asIconButton={asIconButtons} />
+      </ButtonGroup>
+    </Flex>
+  );
+};
+
+export default memo(VerticalQueueControls);
diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx
new file mode 100644
index 0000000000..e165967936
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx
@@ -0,0 +1,64 @@
+import { ChakraProps, ThemeTypings } from '@chakra-ui/react';
+import IAIButton from 'common/components/IAIButton';
+import IAIIconButton from 'common/components/IAIIconButton';
+import { ReactElement, ReactNode, memo } from 'react';
+
+type Props = {
+  label: string;
+  tooltip: ReactNode;
+  icon: ReactElement;
+  onClick: () => void;
+  isDisabled?: boolean;
+  colorScheme: ThemeTypings['colorSchemes'];
+  asIconButton?: boolean;
+  isLoading?: boolean;
+  loadingText?: string;
+  sx?: ChakraProps['sx'];
+};
+
+const QueueButton = ({
+  label,
+  tooltip,
+  icon,
+  onClick,
+  isDisabled,
+  colorScheme,
+  asIconButton,
+  isLoading,
+  loadingText,
+  sx,
+}: Props) => {
+  if (asIconButton) {
+    return (
+      <IAIIconButton
+        aria-label={label}
+        tooltip={tooltip}
+        icon={icon}
+        onClick={onClick}
+        isDisabled={isDisabled}
+        colorScheme={colorScheme}
+        isLoading={isLoading}
+        sx={sx}
+      />
+    );
+  }
+
+  return (
+    <IAIButton
+      aria-label={label}
+      tooltip={tooltip}
+      leftIcon={icon}
+      onClick={onClick}
+      isDisabled={isDisabled}
+      colorScheme={colorScheme}
+      isLoading={isLoading}
+      loadingText={loadingText ?? label}
+      flexGrow={1}
+      sx={sx}
+    >
+      {label}
+    </IAIButton>
+  );
+};
+
+export default memo(QueueButton);
diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx
new file mode 100644
index 0000000000..9cc991335e
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx
@@ -0,0 +1,52 @@
+import { Flex, Heading, Text, Tooltip } from '@chakra-ui/react';
+import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent';
+import { memo } from 'react';
+import { components } from 'services/api/schema';
+
+const QueueItemCard = ({
+  session_queue_item,
+  label,
+}: {
+  session_queue_item?: components['schemas']['SessionQueueItem'];
+  label: string;
+}) => {
+  return (
+    <Flex
+      layerStyle="second"
+      borderRadius="base"
+      w="full"
+      p={2}
+      flexDir="column"
+      gap={1}
+    >
+      <Flex justifyContent="space-between" alignItems="flex-start">
+        <Heading size="md">{label}</Heading>
+        {session_queue_item && (
+          <Tooltip label="Batch ID" placement="top" hasArrow>
+            <Text fontSize="xs">{session_queue_item.batch_id}</Text>
+          </Tooltip>
+        )}
+      </Flex>
+      {session_queue_item && (
+        <ScrollableContent>
+          <Text>Batch Values: </Text>
+          {session_queue_item.field_values &&
+            session_queue_item.field_values
+              .filter((v) => v.node_path !== 'metadata_accumulator')
+              .map(({ node_path, field_name, value }) => (
+                <Text
+                  key={`${session_queue_item.item_id}.${node_path}.${field_name}.${value}`}
+                >
+                  <Text as="span" fontWeight={600}>
+                    {node_path}.{field_name}
+                  </Text>
+                  : {value}
+                </Text>
+              ))}
+        </ScrollableContent>
+      )}
+    </Flex>
+  );
+};
+
+export default memo(QueueItemCard);
diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueStatusBadge.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusBadge.tsx
new file mode 100644
index 0000000000..aba4b230bc
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusBadge.tsx
@@ -0,0 +1,22 @@
+import { Badge } from '@chakra-ui/react';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { SessionQueueItemStatus } from 'services/api/endpoints/queue';
+
+const STATUSES = {
+  pending: { colorScheme: 'cyan', translationKey: 'queue.pending' },
+  in_progress: { colorScheme: 'yellow', translationKey: 'queue.in_progress' },
+  completed: { colorScheme: 'green', translationKey: 'queue.completed' },
+  failed: { colorScheme: 'red', translationKey: 'queue.failed' },
+  canceled: { colorScheme: 'orange', translationKey: 'queue.canceled' },
+};
+
+const StatusBadge = ({ status }: { status: SessionQueueItemStatus }) => {
+  const { t } = useTranslation();
+  return (
+    <Badge colorScheme={STATUSES[status].colorScheme}>
+      {t(STATUSES[status].translationKey)}
+    </Badge>
+  );
+};
+export default memo(StatusBadge);
diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueStatusDot.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusDot.tsx
new file mode 100644
index 0000000000..6a500cada2
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusDot.tsx
@@ -0,0 +1,28 @@
+import { Box } from '@chakra-ui/react';
+import { memo, useMemo } from 'react';
+import { SessionQueueItemStatus } from 'services/api/endpoints/queue';
+
+const STATUSES = {
+  pending: { colorScheme: 'cyan', translationKey: 'queue.pending' },
+  in_progress: { colorScheme: 'yellow', translationKey: 'queue.in_progress' },
+  completed: { colorScheme: 'green', translationKey: 'queue.completed' },
+  failed: { colorScheme: 'red', translationKey: 'queue.failed' },
+  canceled: { colorScheme: 'orange', translationKey: 'queue.canceled' },
+};
+
+const QueueStatusDot = ({ status }: { status: SessionQueueItemStatus }) => {
+  const sx = useMemo(
+    () => ({
+      w: 2,
+      h: 2,
+      bg: `${STATUSES[status].colorScheme}.${500}`,
+      _dark: {
+        bg: `${STATUSES[status].colorScheme}.${400}`,
+      },
+      borderRadius: '100%',
+    }),
+    [status]
+  );
+  return <Box sx={sx} />;
+};
+export default memo(QueueStatusDot);
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts
new file mode 100644
index 0000000000..5281734357
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts
@@ -0,0 +1,53 @@
+import { useAppDispatch } from 'app/store/storeHooks';
+import { addToast } from 'features/system/store/systemSlice';
+import { useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import {
+  useCancelByBatchIdsMutation,
+  useGetBatchStatusQuery,
+} from 'services/api/endpoints/queue';
+
+export const useCancelBatch = (batch_id: string) => {
+  const { isCanceled } = useGetBatchStatusQuery(
+    { batch_id },
+    {
+      selectFromResult: ({ data }) => {
+        if (!data) {
+          return { isCanceled: true };
+        }
+
+        return {
+          isCanceled: data?.in_progress === 0 && data?.pending === 0,
+        };
+      },
+    }
+  );
+  const [trigger, { isLoading }] = useCancelByBatchIdsMutation({
+    fixedCacheKey: 'cancelByBatchIds',
+  });
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+  const cancelBatch = useCallback(async () => {
+    if (isCanceled) {
+      return;
+    }
+    try {
+      await trigger({ batch_ids: [batch_id] }).unwrap();
+      dispatch(
+        addToast({
+          title: t('queue.cancelBatchSucceeded'),
+          status: 'success',
+        })
+      );
+    } catch {
+      dispatch(
+        addToast({
+          title: t('queue.cancelBatchFailed'),
+          status: 'error',
+        })
+      );
+    }
+  }, [batch_id, dispatch, isCanceled, t, trigger]);
+
+  return { cancelBatch, isLoading, isCanceled };
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts
new file mode 100644
index 0000000000..62f645fac9
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts
@@ -0,0 +1,42 @@
+import { useAppDispatch } from 'app/store/storeHooks';
+import { addToast } from 'features/system/store/systemSlice';
+import { useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import {
+  useCancelQueueItemMutation,
+  useGetQueueStatusQuery,
+} from 'services/api/endpoints/queue';
+
+export const useCancelCurrentQueueItem = () => {
+  const { data: queueStatus } = useGetQueueStatusQuery();
+  const [trigger, { isLoading }] = useCancelQueueItemMutation();
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+  const currentQueueItemId = useMemo(
+    () => queueStatus?.queue.item_id,
+    [queueStatus?.queue.item_id]
+  );
+  const cancelQueueItem = useCallback(async () => {
+    if (!currentQueueItemId) {
+      return;
+    }
+    try {
+      await trigger(currentQueueItemId).unwrap();
+      dispatch(
+        addToast({
+          title: t('queue.cancelSucceeded'),
+          status: 'success',
+        })
+      );
+    } catch {
+      dispatch(
+        addToast({
+          title: t('queue.cancelFailed'),
+          status: 'error',
+        })
+      );
+    }
+  }, [currentQueueItemId, dispatch, t, trigger]);
+
+  return { cancelQueueItem, isLoading, currentQueueItemId };
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts
new file mode 100644
index 0000000000..82ce5765f6
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts
@@ -0,0 +1,31 @@
+import { useAppDispatch } from 'app/store/storeHooks';
+import { addToast } from 'features/system/store/systemSlice';
+import { useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useCancelQueueItemMutation } from 'services/api/endpoints/queue';
+
+export const useCancelQueueItem = (item_id: number) => {
+  const [trigger, { isLoading }] = useCancelQueueItemMutation();
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+  const cancelQueueItem = useCallback(async () => {
+    try {
+      await trigger(item_id).unwrap();
+      dispatch(
+        addToast({
+          title: t('queue.cancelSucceeded'),
+          status: 'success',
+        })
+      );
+    } catch {
+      dispatch(
+        addToast({
+          title: t('queue.cancelFailed'),
+          status: 'error',
+        })
+      );
+    }
+  }, [dispatch, item_id, t, trigger]);
+
+  return { cancelQueueItem, isLoading };
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts b/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts
new file mode 100644
index 0000000000..e09650bc44
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts
@@ -0,0 +1,47 @@
+import { useAppDispatch } from 'app/store/storeHooks';
+import { addToast } from 'features/system/store/systemSlice';
+import { useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import {
+  useClearQueueMutation,
+  useGetQueueStatusQuery,
+} from 'services/api/endpoints/queue';
+import { listCursorChanged, listPriorityChanged } from '../store/queueSlice';
+
+export const useClearQueue = () => {
+  const { t } = useTranslation();
+
+  const dispatch = useAppDispatch();
+  const { data: queueStatus } = useGetQueueStatusQuery();
+
+  const [trigger, { isLoading }] = useClearQueueMutation({
+    fixedCacheKey: 'clearQueue',
+  });
+
+  const clearQueue = useCallback(async () => {
+    if (!queueStatus?.queue.total) {
+      return;
+    }
+
+    try {
+      await trigger().unwrap();
+      dispatch(
+        addToast({
+          title: t('queue.clearSucceeded'),
+          status: 'success',
+        })
+      );
+      dispatch(listCursorChanged(undefined));
+      dispatch(listPriorityChanged(undefined));
+    } catch {
+      dispatch(
+        addToast({
+          title: t('queue.clearFailed'),
+          status: 'error',
+        })
+      );
+    }
+  }, [queueStatus?.queue.total, trigger, dispatch, t]);
+
+  return { clearQueue, isLoading, queueStatus };
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useIsQueueEmpty.ts b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueEmpty.ts
new file mode 100644
index 0000000000..c0a32c1eb3
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueEmpty.ts
@@ -0,0 +1,15 @@
+import { useGetQueueStatusQuery } from 'services/api/endpoints/queue';
+
+export const useIsQueueEmpty = () => {
+  const { isEmpty } = useGetQueueStatusQuery(undefined, {
+    selectFromResult: ({ data }) => {
+      if (!data) {
+        return { isEmpty: true };
+      }
+      return {
+        isEmpty: data.queue.in_progress === 0 && data.queue.pending === 0,
+      };
+    },
+  });
+  return isEmpty;
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts
new file mode 100644
index 0000000000..abb3967b92
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts
@@ -0,0 +1,55 @@
+import {
+  useCancelQueueItemMutation,
+  // useCancelByBatchIdsMutation,
+  useClearQueueMutation,
+  useEnqueueBatchMutation,
+  useEnqueueGraphMutation,
+  usePruneQueueMutation,
+  useResumeProcessorMutation,
+  usePauseProcessorMutation,
+} from 'services/api/endpoints/queue';
+
+export const useIsQueueMutationInProgress = () => {
+  const [_triggerEnqueueBatch, { isLoading: isLoadingEnqueueBatch }] =
+    useEnqueueBatchMutation({
+      fixedCacheKey: 'enqueueBatch',
+    });
+  const [_triggerEnqueueGraph, { isLoading: isLoadingEnqueueGraph }] =
+    useEnqueueGraphMutation({
+      fixedCacheKey: 'enqueueGraph',
+    });
+  const [_triggerResumeProcessor, { isLoading: isLoadingResumeProcessor }] =
+    useResumeProcessorMutation({
+      fixedCacheKey: 'resumeProcessor',
+    });
+  const [_triggerPauseProcessor, { isLoading: isLoadingPauseProcessor }] =
+    usePauseProcessorMutation({
+      fixedCacheKey: 'pauseProcessor',
+    });
+  const [_triggerCancelQueue, { isLoading: isLoadingCancelQueue }] =
+    useCancelQueueItemMutation({
+      fixedCacheKey: 'cancelQueueItem',
+    });
+  const [_triggerClearQueue, { isLoading: isLoadingClearQueue }] =
+    useClearQueueMutation({
+      fixedCacheKey: 'clearQueue',
+    });
+  const [_triggerPruneQueue, { isLoading: isLoadingPruneQueue }] =
+    usePruneQueueMutation({
+      fixedCacheKey: 'pruneQueue',
+    });
+  // const [_triggerCancelByBatchIds, { isLoading: isLoadingCancelByBatchIds }] =
+  //   useCancelByBatchIdsMutation({
+  //     fixedCacheKey: 'cancelByBatchIds',
+  //   });
+  return (
+    isLoadingEnqueueBatch ||
+    isLoadingEnqueueGraph ||
+    isLoadingResumeProcessor ||
+    isLoadingPauseProcessor ||
+    isLoadingCancelQueue ||
+    isLoadingClearQueue ||
+    isLoadingPruneQueue
+    // isLoadingCancelByBatchIds
+  );
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts b/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts
new file mode 100644
index 0000000000..c9b31dafa6
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts
@@ -0,0 +1,46 @@
+import { useAppDispatch } from 'app/store/storeHooks';
+import { addToast } from 'features/system/store/systemSlice';
+import { useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import {
+  useGetQueueStatusQuery,
+  usePauseProcessorMutation,
+} from 'services/api/endpoints/queue';
+
+export const usePauseProcessor = () => {
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+  const { data: queueStatus } = useGetQueueStatusQuery();
+  const [trigger, { isLoading }] = usePauseProcessorMutation({
+    fixedCacheKey: 'pauseProcessor',
+  });
+
+  const isStarted = useMemo(
+    () => Boolean(queueStatus?.processor.is_started),
+    [queueStatus?.processor.is_started]
+  );
+
+  const pauseProcessor = useCallback(async () => {
+    if (!isStarted) {
+      return;
+    }
+    try {
+      await trigger().unwrap();
+      dispatch(
+        addToast({
+          title: t('queue.pauseSucceeded'),
+          status: 'success',
+        })
+      );
+    } catch {
+      dispatch(
+        addToast({
+          title: t('queue.pauseFailed'),
+          status: 'error',
+        })
+      );
+    }
+  }, [isStarted, trigger, dispatch, t]);
+
+  return { pauseProcessor, isLoading, isStarted };
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts b/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts
new file mode 100644
index 0000000000..6d95a571e7
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts
@@ -0,0 +1,55 @@
+import { useAppDispatch } from 'app/store/storeHooks';
+import { addToast } from 'features/system/store/systemSlice';
+import { useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import {
+  useGetQueueStatusQuery,
+  usePruneQueueMutation,
+} from 'services/api/endpoints/queue';
+import { listCursorChanged, listPriorityChanged } from '../store/queueSlice';
+
+export const usePruneQueue = () => {
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+  const [trigger, { isLoading }] = usePruneQueueMutation({
+    fixedCacheKey: 'pruneQueue',
+  });
+  const { finishedCount } = useGetQueueStatusQuery(undefined, {
+    selectFromResult: ({ data }) => {
+      if (!data) {
+        return { finishedCount: 0 };
+      }
+
+      return {
+        finishedCount:
+          data.queue.completed + data.queue.canceled + data.queue.failed,
+      };
+    },
+  });
+
+  const pruneQueue = useCallback(async () => {
+    if (!finishedCount) {
+      return;
+    }
+    try {
+      const data = await trigger().unwrap();
+      dispatch(
+        addToast({
+          title: t('queue.pruneSucceeded', { item_count: data.deleted }),
+          status: 'success',
+        })
+      );
+      dispatch(listCursorChanged(undefined));
+      dispatch(listPriorityChanged(undefined));
+    } catch {
+      dispatch(
+        addToast({
+          title: t('queue.pruneFailed'),
+          status: 'error',
+        })
+      );
+    }
+  }, [finishedCount, trigger, dispatch, t]);
+
+  return { pruneQueue, isLoading, finishedCount };
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useQueueBack.ts b/invokeai/frontend/web/src/features/queue/hooks/useQueueBack.ts
new file mode 100644
index 0000000000..0a2582f56b
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useQueueBack.ts
@@ -0,0 +1,26 @@
+import { enqueueRequested } from 'app/store/actions';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue';
+import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
+import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+import { useCallback, useMemo } from 'react';
+import { useEnqueueBatchMutation } from 'services/api/endpoints/queue';
+
+export const useQueueBack = () => {
+  const dispatch = useAppDispatch();
+  const tabName = useAppSelector(activeTabNameSelector);
+  const { isReady } = useIsReadyToEnqueue();
+  const [_, { isLoading }] = useEnqueueBatchMutation({
+    fixedCacheKey: 'enqueueBatch',
+  });
+  const isDisabled = useMemo(() => !isReady, [isReady]);
+  const queueBack = useCallback(() => {
+    if (isDisabled) {
+      return;
+    }
+    dispatch(clampSymmetrySteps());
+    dispatch(enqueueRequested({ tabName, prepend: false }));
+  }, [dispatch, isDisabled, tabName]);
+
+  return { queueBack, isLoading, isDisabled };
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useQueueFront.ts b/invokeai/frontend/web/src/features/queue/hooks/useQueueFront.ts
new file mode 100644
index 0000000000..e83dfa08ab
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useQueueFront.ts
@@ -0,0 +1,32 @@
+import { enqueueRequested } from 'app/store/actions';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue';
+import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
+import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+import { useCallback, useMemo } from 'react';
+import { useEnqueueBatchMutation } from 'services/api/endpoints/queue';
+import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
+
+export const useQueueFront = () => {
+  const dispatch = useAppDispatch();
+  const tabName = useAppSelector(activeTabNameSelector);
+  const { isReady } = useIsReadyToEnqueue();
+  const [_, { isLoading }] = useEnqueueBatchMutation({
+    fixedCacheKey: 'enqueueBatch',
+  });
+  const prependEnabled = useFeatureStatus('prependQueue').isFeatureEnabled;
+
+  const isDisabled = useMemo(() => {
+    return !isReady || !prependEnabled;
+  }, [isReady, prependEnabled]);
+
+  const queueFront = useCallback(() => {
+    if (isDisabled) {
+      return;
+    }
+    dispatch(clampSymmetrySteps());
+    dispatch(enqueueRequested({ tabName, prepend: true }));
+  }, [dispatch, isDisabled, tabName]);
+
+  return { queueFront, isLoading, isDisabled };
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts b/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts
new file mode 100644
index 0000000000..2097507b56
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts
@@ -0,0 +1,46 @@
+import { useAppDispatch } from 'app/store/storeHooks';
+import { addToast } from 'features/system/store/systemSlice';
+import { useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import {
+  useGetQueueStatusQuery,
+  useResumeProcessorMutation,
+} from 'services/api/endpoints/queue';
+
+export const useResumeProcessor = () => {
+  const dispatch = useAppDispatch();
+  const { data: queueStatus } = useGetQueueStatusQuery();
+  const { t } = useTranslation();
+  const [trigger, { isLoading }] = useResumeProcessorMutation({
+    fixedCacheKey: 'resumeProcessor',
+  });
+
+  const isStarted = useMemo(
+    () => Boolean(queueStatus?.processor.is_started),
+    [queueStatus?.processor.is_started]
+  );
+
+  const resumeProcessor = useCallback(async () => {
+    if (isStarted) {
+      return;
+    }
+    try {
+      await trigger().unwrap();
+      dispatch(
+        addToast({
+          title: t('queue.resumeSucceeded'),
+          status: 'success',
+        })
+      );
+    } catch {
+      dispatch(
+        addToast({
+          title: t('queue.resumeFailed'),
+          status: 'error',
+        })
+      );
+    }
+  }, [isStarted, trigger, dispatch, t]);
+
+  return { resumeProcessor, isLoading, isStarted };
+};
diff --git a/invokeai/frontend/web/src/features/queue/store/nanoStores.ts b/invokeai/frontend/web/src/features/queue/store/nanoStores.ts
new file mode 100644
index 0000000000..462cf69d0a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/store/nanoStores.ts
@@ -0,0 +1,5 @@
+import { atom } from 'nanostores';
+
+export const DEFAULT_QUEUE_ID = 'default';
+
+export const $queueId = atom<string>(DEFAULT_QUEUE_ID);
diff --git a/invokeai/frontend/web/src/features/queue/store/queueSlice.ts b/invokeai/frontend/web/src/features/queue/store/queueSlice.ts
new file mode 100644
index 0000000000..ee1e8dfefb
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/store/queueSlice.ts
@@ -0,0 +1,60 @@
+import { PayloadAction, createSlice } from '@reduxjs/toolkit';
+
+export interface QueueState {
+  listCursor: number | undefined;
+  listPriority: number | undefined;
+  selectedQueueItem: string | undefined;
+  resumeProcessorOnEnqueue: boolean;
+}
+
+export const initialQueueState: QueueState = {
+  listCursor: undefined,
+  listPriority: undefined,
+  selectedQueueItem: undefined,
+  resumeProcessorOnEnqueue: true,
+};
+
+const initialState: QueueState = initialQueueState;
+
+export const queueSlice = createSlice({
+  name: 'queue',
+  initialState,
+  reducers: {
+    listCursorChanged: (state, action: PayloadAction<number | undefined>) => {
+      state.listCursor = action.payload;
+    },
+    listPriorityChanged: (state, action: PayloadAction<number | undefined>) => {
+      state.listPriority = action.payload;
+    },
+    listParamsReset: (state) => {
+      state.listCursor = undefined;
+      state.listPriority = undefined;
+    },
+    queueItemSelectionToggled: (
+      state,
+      action: PayloadAction<string | undefined>
+    ) => {
+      if (state.selectedQueueItem === action.payload) {
+        state.selectedQueueItem = undefined;
+      } else {
+        state.selectedQueueItem = action.payload;
+      }
+    },
+    resumeProcessorOnEnqueueChanged: (
+      state,
+      action: PayloadAction<boolean>
+    ) => {
+      state.resumeProcessorOnEnqueue = action.payload;
+    },
+  },
+});
+
+export const {
+  listCursorChanged,
+  listPriorityChanged,
+  listParamsReset,
+  queueItemSelectionToggled,
+  resumeProcessorOnEnqueueChanged,
+} = queueSlice.actions;
+
+export default queueSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/queue/util/formatNumberShort.ts b/invokeai/frontend/web/src/features/queue/util/formatNumberShort.ts
new file mode 100644
index 0000000000..9cc300c960
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/util/formatNumberShort.ts
@@ -0,0 +1,4 @@
+export const formatNumberShort = (num: number) =>
+  Intl.NumberFormat('en-US', {
+    notation: 'standard',
+  }).format(num);
diff --git a/invokeai/frontend/web/src/features/queue/util/getSecondsFromTimestamps.ts b/invokeai/frontend/web/src/features/queue/util/getSecondsFromTimestamps.ts
new file mode 100644
index 0000000000..5ea9713152
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/util/getSecondsFromTimestamps.ts
@@ -0,0 +1,2 @@
+export const getSecondsFromTimestamps = (start: string, end: string) =>
+  Number(((Date.parse(end) - Date.parse(start)) / 1000).toFixed(2));
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx
index b5ff691c23..7de413ad3a 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx
@@ -1,34 +1,27 @@
 import { Box, FormControl, useDisclosure } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
-
-import { createSelector } from '@reduxjs/toolkit';
-import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
-import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
-import { useTranslation } from 'react-i18next';
-
-import { userInvoked } from 'app/store/actions';
 import IAITextarea from 'common/components/IAITextarea';
-import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
 import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton';
 import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import { AnimatePresence } from 'framer-motion';
 import { isEqual } from 'lodash-es';
+import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
 import { flushSync } from 'react-dom';
+import { useTranslation } from 'react-i18next';
 import { setNegativeStylePromptSDXL } from '../store/sdxlSlice';
 import SDXLConcatLink from './SDXLConcatLink';
 
 const promptInputSelector = createSelector(
-  [stateSelector, activeTabNameSelector],
-  ({ sdxl }, activeTabName) => {
+  [stateSelector],
+  ({ sdxl }) => {
     const { negativeStylePrompt, shouldConcatSDXLStylePrompt } = sdxl;
 
     return {
       prompt: negativeStylePrompt,
       shouldConcatSDXLStylePrompt,
-      activeTabName,
     };
   },
   {
@@ -43,12 +36,11 @@ const promptInputSelector = createSelector(
  */
 const ParamSDXLNegativeStyleConditioning = () => {
   const dispatch = useAppDispatch();
-  const isReady = useIsReadyToInvoke();
   const promptRef = useRef<HTMLTextAreaElement>(null);
   const { isOpen, onClose, onOpen } = useDisclosure();
   const { t } = useTranslation();
 
-  const { prompt, activeTabName, shouldConcatSDXLStylePrompt } =
+  const { prompt, shouldConcatSDXLStylePrompt } =
     useAppSelector(promptInputSelector);
 
   const handleChangePrompt = useCallback(
@@ -101,23 +93,13 @@ const ParamSDXLNegativeStyleConditioning = () => {
 
   const handleKeyDown = useCallback(
     (e: KeyboardEvent<HTMLTextAreaElement>) => {
-      if (e.key === 'Enter' && e.shiftKey === false && isReady) {
-        e.preventDefault();
-        dispatch(clampSymmetrySteps());
-        dispatch(userInvoked(activeTabName));
-      }
       if (isEmbeddingEnabled && e.key === '<') {
         onOpen();
       }
     },
-    [isReady, dispatch, activeTabName, onOpen, isEmbeddingEnabled]
+    [onOpen, isEmbeddingEnabled]
   );
 
-  // const handleSelect = (e: MouseEvent<HTMLTextAreaElement>) => {
-  //   const target = e.target as HTMLTextAreaElement;
-  // setCaret({ start: target.selectionStart, end: target.selectionEnd });
-  // };
-
   return (
     <Box position="relative">
       <AnimatePresence>
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx
index b193e3adbd..9281d31588 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx
@@ -1,34 +1,27 @@
 import { Box, FormControl, useDisclosure } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
-
-import { createSelector } from '@reduxjs/toolkit';
-import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
-import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
-import { useTranslation } from 'react-i18next';
-
-import { userInvoked } from 'app/store/actions';
 import IAITextarea from 'common/components/IAITextarea';
-import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
 import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton';
 import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import { AnimatePresence } from 'framer-motion';
 import { isEqual } from 'lodash-es';
+import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
 import { flushSync } from 'react-dom';
+import { useTranslation } from 'react-i18next';
 import { setPositiveStylePromptSDXL } from '../store/sdxlSlice';
 import SDXLConcatLink from './SDXLConcatLink';
 
 const promptInputSelector = createSelector(
-  [stateSelector, activeTabNameSelector],
-  ({ sdxl }, activeTabName) => {
+  [stateSelector],
+  ({ sdxl }) => {
     const { positiveStylePrompt, shouldConcatSDXLStylePrompt } = sdxl;
 
     return {
       prompt: positiveStylePrompt,
       shouldConcatSDXLStylePrompt,
-      activeTabName,
     };
   },
   {
@@ -43,12 +36,11 @@ const promptInputSelector = createSelector(
  */
 const ParamSDXLPositiveStyleConditioning = () => {
   const dispatch = useAppDispatch();
-  const isReady = useIsReadyToInvoke();
   const promptRef = useRef<HTMLTextAreaElement>(null);
   const { isOpen, onClose, onOpen } = useDisclosure();
   const { t } = useTranslation();
 
-  const { prompt, activeTabName, shouldConcatSDXLStylePrompt } =
+  const { prompt, shouldConcatSDXLStylePrompt } =
     useAppSelector(promptInputSelector);
 
   const handleChangePrompt = useCallback(
@@ -101,23 +93,13 @@ const ParamSDXLPositiveStyleConditioning = () => {
 
   const handleKeyDown = useCallback(
     (e: KeyboardEvent<HTMLTextAreaElement>) => {
-      if (e.key === 'Enter' && e.shiftKey === false && isReady) {
-        e.preventDefault();
-        dispatch(clampSymmetrySteps());
-        dispatch(userInvoked(activeTabName));
-      }
       if (isEmbeddingEnabled && e.key === '<') {
         onOpen();
       }
     },
-    [isReady, dispatch, activeTabName, onOpen, isEmbeddingEnabled]
+    [onOpen, isEmbeddingEnabled]
   );
 
-  // const handleSelect = (e: MouseEvent<HTMLTextAreaElement>) => {
-  //   const target = e.target as HTMLTextAreaElement;
-  // setCaret({ start: target.selectionStart, end: target.selectionEnd });
-  // };
-
   return (
     <Box position="relative">
       <AnimatePresence>
diff --git a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
index a020a453f7..73f5779a52 100644
--- a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
+++ b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
@@ -6,7 +6,7 @@ import {
   SchedulerParam,
 } from 'features/parameters/types/parameterSchemas';
 
-type SDXLInitialState = {
+type SDXLState = {
   positiveStylePrompt: PositiveStylePromptSDXLParam;
   negativeStylePrompt: NegativeStylePromptSDXLParam;
   shouldConcatSDXLStylePrompt: boolean;
@@ -21,7 +21,7 @@ type SDXLInitialState = {
   refinerStart: number;
 };
 
-const sdxlInitialState: SDXLInitialState = {
+export const initialSDXLState: SDXLState = {
   positiveStylePrompt: '',
   negativeStylePrompt: '',
   shouldConcatSDXLStylePrompt: true,
@@ -38,7 +38,7 @@ const sdxlInitialState: SDXLInitialState = {
 
 const sdxlSlice = createSlice({
   name: 'sdxl',
-  initialState: sdxlInitialState,
+  initialState: initialSDXLState,
   reducers: {
     setPositiveStylePromptSDXL: (state, action: PayloadAction<string>) => {
       state.positiveStylePrompt = action.payload;
diff --git a/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx b/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx
index 34bd394214..428ae47545 100644
--- a/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx
+++ b/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx
@@ -1,40 +1,38 @@
 import { Progress } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import { SystemState } from 'features/system/store/systemSlice';
-import { isEqual } from 'lodash-es';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
-import { systemSelector } from '../store/systemSelectors';
-
+import { useGetQueueStatusQuery } from 'services/api/endpoints/queue';
 const progressBarSelector = createSelector(
-  systemSelector,
-  (system: SystemState) => {
+  stateSelector,
+  ({ system }) => {
     return {
-      isProcessing: system.isProcessing,
-      currentStep: system.currentStep,
-      totalSteps: system.totalSteps,
-      currentStatusHasSteps: system.currentStatusHasSteps,
+      isConnected: system.isConnected,
+      hasSteps: Boolean(system.denoiseProgress),
+      value: (system.denoiseProgress?.percentage ?? 0) * 100,
     };
   },
-  {
-    memoizeOptions: { resultEqualityCheck: isEqual },
-  }
+  defaultSelectorOptions
 );
 
 const ProgressBar = () => {
   const { t } = useTranslation();
-  const { isProcessing, currentStep, totalSteps, currentStatusHasSteps } =
-    useAppSelector(progressBarSelector);
-
-  const value = currentStep ? Math.round((currentStep * 100) / totalSteps) : 0;
+  const { data: queueStatus } = useGetQueueStatusQuery();
+  const { hasSteps, value, isConnected } = useAppSelector(progressBarSelector);
 
   return (
     <Progress
       value={value}
       aria-label={t('accessibility.invokeProgressBar')}
-      isIndeterminate={isProcessing && !currentStatusHasSteps}
-      height="full"
+      isIndeterminate={
+        isConnected && Boolean(queueStatus?.queue.in_progress) && !hasSteps
+      }
+      h="full"
+      w="full"
+      borderRadius={2}
       colorScheme="accent"
     />
   );
diff --git a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
index c1d02aed50..858ff26f98 100644
--- a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
+++ b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
@@ -48,13 +48,13 @@ import { useTranslation } from 'react-i18next';
 import { LogLevelName } from 'roarr';
 import { useGetAppConfigQuery } from 'services/api/endpoints/appInfo';
 import { useFeatureStatus } from '../../hooks/useFeatureStatus';
-import { LANGUAGES } from '../../store/constants';
 import { languageSelector } from '../../store/systemSelectors';
 import { languageChanged } from '../../store/systemSlice';
 import SettingSwitch from './SettingSwitch';
 import SettingsClearIntermediates from './SettingsClearIntermediates';
 import SettingsSchedulers from './SettingsSchedulers';
 import StyledFlex from './StyledFlex';
+import { LANGUAGES } from 'features/system/store/types';
 
 const selector = createSelector(
   [stateSelector],
diff --git a/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx b/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx
index 4a19ee7fa3..2f740bbe78 100644
--- a/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx
+++ b/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx
@@ -1,5 +1,6 @@
 import { Flex, Icon, Text } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { AnimatePresence, motion } from 'framer-motion';
@@ -8,27 +9,17 @@ import { memo, useMemo, useRef } from 'react';
 import { useTranslation } from 'react-i18next';
 import { FaCircle } from 'react-icons/fa';
 import { useHoverDirty } from 'react-use';
-import { systemSelector } from '../store/systemSelectors';
+import { useGetQueueStatusQuery } from 'services/api/endpoints/queue';
+import { STATUS_TRANSLATION_KEYS } from '../store/types';
 
 const statusIndicatorSelector = createSelector(
-  systemSelector,
-  (system) => {
-    const {
-      isConnected,
-      isProcessing,
-      statusTranslationKey,
-      currentIteration,
-      totalIterations,
-      currentStatusHasSteps,
-    } = system;
+  stateSelector,
+  ({ system }) => {
+    const { isConnected, status } = system;
 
     return {
       isConnected,
-      isProcessing,
-      currentIteration,
-      totalIterations,
-      statusTranslationKey,
-      currentStatusHasSteps,
+      statusTranslationKey: STATUS_TRANSLATION_KEYS[status],
     };
   },
   defaultSelectorOptions
@@ -47,35 +38,24 @@ const LIGHT_COLOR_MAP = {
 };
 
 const StatusIndicator = () => {
-  const {
-    isConnected,
-    isProcessing,
-    currentIteration,
-    totalIterations,
-    statusTranslationKey,
-  } = useAppSelector(statusIndicatorSelector);
+  const { isConnected, statusTranslationKey } = useAppSelector(
+    statusIndicatorSelector
+  );
   const { t } = useTranslation();
   const ref = useRef(null);
+  const { data: queueStatus } = useGetQueueStatusQuery();
 
-  const statusString = useMemo(() => {
-    if (isProcessing) {
+  const statusColor = useMemo(() => {
+    if (!isConnected) {
+      return 'error';
+    }
+
+    if (queueStatus?.queue.in_progress) {
       return 'working';
     }
 
-    if (isConnected) {
-      return 'ok';
-    }
-
-    return 'error';
-  }, [isProcessing, isConnected]);
-
-  const iterationsText = useMemo(() => {
-    if (!(currentIteration && totalIterations)) {
-      return;
-    }
-
-    return ` (${currentIteration}/${totalIterations})`;
-  }, [currentIteration, totalIterations]);
+    return 'ok';
+  }, [queueStatus?.queue.in_progress, isConnected]);
 
   const isHovered = useHoverDirty(ref);
 
@@ -103,12 +83,11 @@ const StatusIndicator = () => {
                 fontWeight: '600',
                 pb: '1px',
                 userSelect: 'none',
-                color: LIGHT_COLOR_MAP[statusString],
-                _dark: { color: DARK_COLOR_MAP[statusString] },
+                color: LIGHT_COLOR_MAP[statusColor],
+                _dark: { color: DARK_COLOR_MAP[statusColor] },
               }}
             >
               {t(statusTranslationKey as ResourceKey)}
-              {iterationsText}
             </Text>
           </motion.div>
         )}
@@ -117,8 +96,8 @@ const StatusIndicator = () => {
         as={FaCircle}
         sx={{
           boxSize: '0.5rem',
-          color: LIGHT_COLOR_MAP[statusString],
-          _dark: { color: DARK_COLOR_MAP[statusString] },
+          color: LIGHT_COLOR_MAP[statusColor],
+          _dark: { color: DARK_COLOR_MAP[statusColor] },
         }}
       />
     </Flex>
diff --git a/invokeai/frontend/web/src/features/system/store/configSlice.ts b/invokeai/frontend/web/src/features/system/store/configSlice.ts
index 36a61be969..8a20b050ed 100644
--- a/invokeai/frontend/web/src/features/system/store/configSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/configSlice.ts
@@ -24,8 +24,8 @@ export const initialConfigState: AppConfig = {
     iterations: {
       initial: 1,
       min: 1,
-      sliderMax: 20,
-      inputMax: 9999,
+      sliderMax: 1000,
+      inputMax: 10000,
       fineStep: 1,
       coarseStep: 1,
     },
diff --git a/invokeai/frontend/web/src/features/system/store/constants.ts b/invokeai/frontend/web/src/features/system/store/constants.ts
deleted file mode 100644
index 4e7dd0b9a8..0000000000
--- a/invokeai/frontend/web/src/features/system/store/constants.ts
+++ /dev/null
@@ -1,20 +0,0 @@
-import i18n from 'i18n';
-
-export const LANGUAGES = {
-  ar: i18n.t('common.langArabic', { lng: 'ar' }),
-  nl: i18n.t('common.langDutch', { lng: 'nl' }),
-  en: i18n.t('common.langEnglish', { lng: 'en' }),
-  fr: i18n.t('common.langFrench', { lng: 'fr' }),
-  de: i18n.t('common.langGerman', { lng: 'de' }),
-  he: i18n.t('common.langHebrew', { lng: 'he' }),
-  it: i18n.t('common.langItalian', { lng: 'it' }),
-  ja: i18n.t('common.langJapanese', { lng: 'ja' }),
-  ko: i18n.t('common.langKorean', { lng: 'ko' }),
-  pl: i18n.t('common.langPolish', { lng: 'pl' }),
-  pt_BR: i18n.t('common.langBrPortuguese', { lng: 'pt_BR' }),
-  pt: i18n.t('common.langPortuguese', { lng: 'pt' }),
-  ru: i18n.t('common.langRussian', { lng: 'ru' }),
-  zh_CN: i18n.t('common.langSimplifiedChinese', { lng: 'zh_CN' }),
-  es: i18n.t('common.langSpanish', { lng: 'es' }),
-  uk: i18n.t('common.langUkranian', { lng: 'ua' }),
-};
diff --git a/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts b/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts
index b5376afc4f..df0d349d00 100644
--- a/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts
@@ -1,21 +1,7 @@
-import { SystemState } from './systemSlice';
+import { SystemState } from './types';
 
-/**
- * System slice persist denylist
- */
 export const systemPersistDenylist: (keyof SystemState)[] = [
-  'currentIteration',
-  'currentStep',
-  'isCancelable',
   'isConnected',
-  'isESRGANAvailable',
-  'isGFPGANAvailable',
-  'isProcessing',
-  'totalIterations',
-  'totalSteps',
-  'isCancelScheduled',
-  'progressImage',
-  'wereModelsReceived',
-  'isPersisted',
-  'isUploading',
+  'denoiseProgress',
+  'status',
 ];
diff --git a/invokeai/frontend/web/src/features/system/store/systemSelectors.ts b/invokeai/frontend/web/src/features/system/store/systemSelectors.ts
index 900d8e0bd6..2e38f32283 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSelectors.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSelectors.ts
@@ -1,21 +1,9 @@
 import { createSelector } from '@reduxjs/toolkit';
-import { RootState } from 'app/store/store';
+import { stateSelector } from 'app/store/store';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 
-export const systemSelector = (state: RootState) => state.system;
-
-export const toastQueueSelector = (state: RootState) => state.system.toastQueue;
-
 export const languageSelector = createSelector(
-  systemSelector,
-  (system) => system.language,
+  stateSelector,
+  ({ system }) => system.language,
   defaultSelectorOptions
 );
-
-export const isProcessingSelector = (state: RootState) =>
-  state.system.isProcessing;
-
-export const selectIsBusy = createSelector(
-  (state: RootState) => state,
-  (state) => state.system.isProcessing || !state.system.isConnected
-);
diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index 022762bc78..78f1ce6e70 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -1,14 +1,9 @@
 import { UseToastOptions } from '@chakra-ui/react';
 import { PayloadAction, createSlice, isAnyOf } from '@reduxjs/toolkit';
-import { InvokeLogLevel } from 'app/logging/logger';
-import { userInvoked } from 'app/store/actions';
 import { t } from 'i18next';
 import { get, startCase, truncate, upperFirst } from 'lodash-es';
 import { LogLevelName } from 'roarr';
-import {
-  isAnySessionRejected,
-  sessionCanceled,
-} from 'services/api/thunks/session';
+import { isAnySessionRejected } from 'services/api/thunks/session';
 import {
   appSocketConnected,
   appSocketDisconnected,
@@ -18,122 +13,38 @@ import {
   appSocketInvocationError,
   appSocketInvocationRetrievalError,
   appSocketInvocationStarted,
+  appSocketModelLoadCompleted,
+  appSocketModelLoadStarted,
+  appSocketQueueItemStatusChanged,
   appSocketSessionRetrievalError,
-  appSocketSubscribed,
-  appSocketUnsubscribed,
 } from 'services/events/actions';
-import { ProgressImage } from 'services/events/types';
+import { calculateStepPercentage } from '../util/calculateStepPercentage';
 import { makeToast } from '../util/makeToast';
-import { LANGUAGES } from './constants';
+import { SystemState, LANGUAGES } from './types';
 import { zPydanticValidationError } from './zodSchemas';
 
-export type CancelStrategy = 'immediate' | 'scheduled';
-
-export interface SystemState {
-  isGFPGANAvailable: boolean;
-  isESRGANAvailable: boolean;
-  isConnected: boolean;
-  isProcessing: boolean;
-  shouldConfirmOnDelete: boolean;
-  currentStep: number;
-  totalSteps: number;
-  currentIteration: number;
-  totalIterations: number;
-  currentStatusHasSteps: boolean;
-  isCancelable: boolean;
-  enableImageDebugging: boolean;
-  toastQueue: UseToastOptions[];
-  /**
-   * The current progress image
-   */
-  progressImage: ProgressImage | null;
-  /**
-   * The current socket session id
-   */
-  sessionId: string | null;
-  /**
-   * Cancel strategy
-   */
-  cancelType: CancelStrategy;
-  /**
-   * Whether or not a scheduled cancelation is pending
-   */
-  isCancelScheduled: boolean;
-  /**
-   * Array of node IDs that we want to handle when events received
-   */
-  subscribedNodeIds: string[];
-  /**
-   * Whether or not the available models were received
-   */
-  wereModelsReceived: boolean;
-  /**
-   * The console output logging level
-   */
-  consoleLogLevel: InvokeLogLevel;
-  shouldLogToConsole: boolean;
-  // TODO: probably better to not store keys here, should just be a string that maps to the translation key
-  statusTranslationKey: string;
-  /**
-   * When a session is canceled, its ID is stored here until a new session is created.
-   */
-  canceledSession: string;
-  isPersisted: boolean;
-  shouldAntialiasProgressImage: boolean;
-  language: keyof typeof LANGUAGES;
-  isUploading: boolean;
-  shouldUseNSFWChecker: boolean;
-  shouldUseWatermarker: boolean;
-}
-
 export const initialSystemState: SystemState = {
   isConnected: false,
-  isProcessing: false,
-  isGFPGANAvailable: true,
-  isESRGANAvailable: true,
   shouldConfirmOnDelete: true,
-  currentStep: 0,
-  totalSteps: 0,
-  currentIteration: 0,
-  totalIterations: 0,
-  currentStatusHasSteps: false,
-  isCancelable: true,
   enableImageDebugging: false,
   toastQueue: [],
-  progressImage: null,
+  denoiseProgress: null,
   shouldAntialiasProgressImage: false,
-  sessionId: null,
-  cancelType: 'immediate',
-  isCancelScheduled: false,
-  subscribedNodeIds: [],
-  wereModelsReceived: false,
   consoleLogLevel: 'debug',
   shouldLogToConsole: true,
-  statusTranslationKey: 'common.statusDisconnected',
-  canceledSession: '',
-  isPersisted: false,
   language: 'en',
-  isUploading: false,
   shouldUseNSFWChecker: false,
   shouldUseWatermarker: false,
+  status: 'DISCONNECTED',
 };
 
 export const systemSlice = createSlice({
   name: 'system',
   initialState: initialSystemState,
   reducers: {
-    setIsProcessing: (state, action: PayloadAction<boolean>) => {
-      state.isProcessing = action.payload;
-    },
-    setCurrentStatus: (state, action: PayloadAction<string>) => {
-      state.statusTranslationKey = action.payload;
-    },
     setShouldConfirmOnDelete: (state, action: PayloadAction<boolean>) => {
       state.shouldConfirmOnDelete = action.payload;
     },
-    setIsCancelable: (state, action: PayloadAction<boolean>) => {
-      state.isCancelable = action.payload;
-    },
     setEnableImageDebugging: (state, action: PayloadAction<boolean>) => {
       state.enableImageDebugging = action.payload;
     },
@@ -143,30 +54,6 @@ export const systemSlice = createSlice({
     clearToastQueue: (state) => {
       state.toastQueue = [];
     },
-    /**
-     * A cancel was scheduled
-     */
-    cancelScheduled: (state) => {
-      state.isCancelScheduled = true;
-    },
-    /**
-     * The scheduled cancel was aborted
-     */
-    scheduledCancelAborted: (state) => {
-      state.isCancelScheduled = false;
-    },
-    /**
-     * The cancel type was changed
-     */
-    cancelTypeChanged: (state, action: PayloadAction<CancelStrategy>) => {
-      state.cancelType = action.payload;
-    },
-    /**
-     * The array of subscribed node ids was changed
-     */
-    subscribedNodeIdsSet: (state, action: PayloadAction<string[]>) => {
-      state.subscribedNodeIds = action.payload;
-    },
     consoleLogLevelChanged: (state, action: PayloadAction<LogLevelName>) => {
       state.consoleLogLevel = action.payload;
     },
@@ -179,15 +66,9 @@ export const systemSlice = createSlice({
     ) => {
       state.shouldAntialiasProgressImage = action.payload;
     },
-    isPersistedChanged: (state, action: PayloadAction<boolean>) => {
-      state.isPersisted = action.payload;
-    },
     languageChanged: (state, action: PayloadAction<keyof typeof LANGUAGES>) => {
       state.language = action.payload;
     },
-    progressImageSet(state, action: PayloadAction<ProgressImage | null>) {
-      state.progressImage = action.payload;
-    },
     shouldUseNSFWCheckerChanged(state, action: PayloadAction<boolean>) {
       state.shouldUseNSFWChecker = action.payload;
     },
@@ -196,34 +77,13 @@ export const systemSlice = createSlice({
     },
   },
   extraReducers(builder) {
-    /**
-     * Socket Subscribed
-     */
-    builder.addCase(appSocketSubscribed, (state, action) => {
-      state.sessionId = action.payload.sessionId;
-      state.canceledSession = '';
-    });
-
-    /**
-     * Socket Unsubscribed
-     */
-    builder.addCase(appSocketUnsubscribed, (state) => {
-      state.sessionId = null;
-    });
-
     /**
      * Socket Connected
      */
     builder.addCase(appSocketConnected, (state) => {
       state.isConnected = true;
-      state.isCancelable = true;
-      state.isProcessing = false;
-      state.currentStatusHasSteps = false;
-      state.currentStep = 0;
-      state.totalSteps = 0;
-      state.currentIteration = 0;
-      state.totalIterations = 0;
-      state.statusTranslationKey = 'common.statusConnected';
+      state.denoiseProgress = null;
+      state.status = 'CONNECTED';
     });
 
     /**
@@ -231,106 +91,73 @@ export const systemSlice = createSlice({
      */
     builder.addCase(appSocketDisconnected, (state) => {
       state.isConnected = false;
-      state.isProcessing = false;
-      state.isCancelable = true;
-      state.currentStatusHasSteps = false;
-      state.currentStep = 0;
-      state.totalSteps = 0;
-      // state.currentIteration = 0;
-      // state.totalIterations = 0;
-      state.statusTranslationKey = 'common.statusDisconnected';
+      state.denoiseProgress = null;
+      state.status = 'DISCONNECTED';
     });
 
     /**
      * Invocation Started
      */
     builder.addCase(appSocketInvocationStarted, (state) => {
-      state.isCancelable = true;
-      state.isProcessing = true;
-      state.currentStatusHasSteps = false;
-      state.currentStep = 0;
-      state.totalSteps = 0;
-      // state.currentIteration = 0;
-      // state.totalIterations = 0;
-      state.statusTranslationKey = 'common.statusGenerating';
+      state.denoiseProgress = null;
+      state.status = 'PROCESSING';
     });
 
     /**
      * Generator Progress
      */
     builder.addCase(appSocketGeneratorProgress, (state, action) => {
-      const { step, total_steps, progress_image } = action.payload.data;
+      const {
+        step,
+        total_steps,
+        order,
+        progress_image,
+        graph_execution_state_id: session_id,
+      } = action.payload.data;
 
-      state.isProcessing = true;
-      state.isCancelable = true;
-      // state.currentIteration = 0;
-      // state.totalIterations = 0;
-      state.currentStatusHasSteps = true;
-      state.currentStep = step + 1; // TODO: step starts at -1, think this is a bug
-      state.totalSteps = total_steps;
-      state.progressImage = progress_image ?? null;
-      state.statusTranslationKey = 'common.statusGenerating';
+      state.denoiseProgress = {
+        step,
+        total_steps,
+        order,
+        percentage: calculateStepPercentage(step, total_steps, order),
+        progress_image,
+        session_id,
+      };
+
+      state.status = 'PROCESSING';
     });
 
     /**
      * Invocation Complete
      */
-    builder.addCase(appSocketInvocationComplete, (state, action) => {
-      const { data } = action.payload;
-
-      // state.currentIteration = 0;
-      // state.totalIterations = 0;
-      state.currentStatusHasSteps = false;
-      state.currentStep = 0;
-      state.totalSteps = 0;
-      state.statusTranslationKey = 'common.statusProcessingComplete';
-
-      if (state.canceledSession === data.graph_execution_state_id) {
-        state.isProcessing = false;
-        state.isCancelable = true;
-      }
+    builder.addCase(appSocketInvocationComplete, (state) => {
+      state.denoiseProgress = null;
+      state.status = 'CONNECTED';
     });
 
     /**
      * Graph Execution State Complete
      */
     builder.addCase(appSocketGraphExecutionStateComplete, (state) => {
-      state.isProcessing = false;
-      state.isCancelable = false;
-      state.isCancelScheduled = false;
-      state.currentStep = 0;
-      state.totalSteps = 0;
-      state.statusTranslationKey = 'common.statusConnected';
-      state.progressImage = null;
+      state.denoiseProgress = null;
+      state.status = 'CONNECTED';
     });
 
-    /**
-     * User Invoked
-     */
-
-    builder.addCase(userInvoked, (state) => {
-      state.isProcessing = true;
-      state.isCancelable = true;
-      state.currentStatusHasSteps = false;
-      state.statusTranslationKey = 'common.statusPreparing';
+    builder.addCase(appSocketModelLoadStarted, (state) => {
+      state.status = 'LOADING_MODEL';
     });
 
-    /**
-     * Session Canceled - FULFILLED
-     */
-    builder.addCase(sessionCanceled.fulfilled, (state, action) => {
-      state.canceledSession = action.meta.arg.session_id;
-      state.isProcessing = false;
-      state.isCancelable = false;
-      state.isCancelScheduled = false;
-      state.currentStep = 0;
-      state.totalSteps = 0;
-      state.statusTranslationKey = 'common.statusConnected';
-      state.progressImage = null;
+    builder.addCase(appSocketModelLoadCompleted, (state) => {
+      state.status = 'CONNECTED';
+    });
 
-      state.toastQueue.push(
-        makeToast({ title: t('toast.canceled'), status: 'warning' })
-      );
+    builder.addCase(appSocketQueueItemStatusChanged, (state, action) => {
+      if (
+        ['completed', 'canceled', 'failed'].includes(action.payload.data.status)
+      ) {
+        state.status = 'CONNECTED';
+        state.denoiseProgress = null;
+      }
     });
 
     // *** Matchers - must be after all cases ***
@@ -340,14 +167,6 @@ export const systemSlice = createSlice({
      * Session Created - REJECTED
      */
     builder.addMatcher(isAnySessionRejected, (state, action) => {
-      state.isProcessing = false;
-      state.isCancelable = false;
-      state.isCancelScheduled = false;
-      state.currentStep = 0;
-      state.totalSteps = 0;
-      state.statusTranslationKey = 'common.statusConnected';
-      state.progressImage = null;
-
       let errorDescription = undefined;
       const duration = 5000;
 
@@ -391,16 +210,6 @@ export const systemSlice = createSlice({
      * Any server error
      */
     builder.addMatcher(isAnyServerError, (state, action) => {
-      state.isProcessing = false;
-      state.isCancelable = true;
-      // state.currentIteration = 0;
-      // state.totalIterations = 0;
-      state.currentStatusHasSteps = false;
-      state.currentStep = 0;
-      state.totalSteps = 0;
-      state.statusTranslationKey = 'common.statusError';
-      state.progressImage = null;
-
       state.toastQueue.push(
         makeToast({
           title: t('toast.serverError'),
@@ -413,23 +222,14 @@ export const systemSlice = createSlice({
 });
 
 export const {
-  setIsProcessing,
   setShouldConfirmOnDelete,
-  setCurrentStatus,
-  setIsCancelable,
   setEnableImageDebugging,
   addToast,
   clearToastQueue,
-  cancelScheduled,
-  scheduledCancelAborted,
-  cancelTypeChanged,
-  subscribedNodeIdsSet,
   consoleLogLevelChanged,
   shouldLogToConsoleChanged,
-  isPersistedChanged,
   shouldAntialiasProgressImageChanged,
   languageChanged,
-  progressImageSet,
   shouldUseNSFWCheckerChanged,
   shouldUseWatermarkerChanged,
 } = systemSlice.actions;
diff --git a/invokeai/frontend/web/src/features/system/store/types.ts b/invokeai/frontend/web/src/features/system/store/types.ts
new file mode 100644
index 0000000000..05b86f1e79
--- /dev/null
+++ b/invokeai/frontend/web/src/features/system/store/types.ts
@@ -0,0 +1,62 @@
+import { UseToastOptions } from '@chakra-ui/react';
+import { InvokeLogLevel } from 'app/logging/logger';
+import i18n from 'i18n';
+import { ProgressImage } from 'services/events/types';
+
+export type SystemStatus =
+  | 'CONNECTED'
+  | 'DISCONNECTED'
+  | 'PROCESSING'
+  | 'ERROR'
+  | 'LOADING_MODEL';
+
+export type DenoiseProgress = {
+  session_id: string;
+  progress_image: ProgressImage | null | undefined;
+  step: number;
+  total_steps: number;
+  order: number;
+  percentage: number;
+};
+
+export interface SystemState {
+  isConnected: boolean;
+  shouldConfirmOnDelete: boolean;
+  enableImageDebugging: boolean;
+  toastQueue: UseToastOptions[];
+  denoiseProgress: DenoiseProgress | null;
+  consoleLogLevel: InvokeLogLevel;
+  shouldLogToConsole: boolean;
+  shouldAntialiasProgressImage: boolean;
+  language: keyof typeof LANGUAGES;
+  shouldUseNSFWChecker: boolean;
+  shouldUseWatermarker: boolean;
+  status: SystemStatus;
+}
+
+export const LANGUAGES = {
+  ar: i18n.t('common.langArabic', { lng: 'ar' }),
+  nl: i18n.t('common.langDutch', { lng: 'nl' }),
+  en: i18n.t('common.langEnglish', { lng: 'en' }),
+  fr: i18n.t('common.langFrench', { lng: 'fr' }),
+  de: i18n.t('common.langGerman', { lng: 'de' }),
+  he: i18n.t('common.langHebrew', { lng: 'he' }),
+  it: i18n.t('common.langItalian', { lng: 'it' }),
+  ja: i18n.t('common.langJapanese', { lng: 'ja' }),
+  ko: i18n.t('common.langKorean', { lng: 'ko' }),
+  pl: i18n.t('common.langPolish', { lng: 'pl' }),
+  pt_BR: i18n.t('common.langBrPortuguese', { lng: 'pt_BR' }),
+  pt: i18n.t('common.langPortuguese', { lng: 'pt' }),
+  ru: i18n.t('common.langRussian', { lng: 'ru' }),
+  zh_CN: i18n.t('common.langSimplifiedChinese', { lng: 'zh_CN' }),
+  es: i18n.t('common.langSpanish', { lng: 'es' }),
+  uk: i18n.t('common.langUkranian', { lng: 'ua' }),
+};
+
+export const STATUS_TRANSLATION_KEYS: Record<SystemStatus, string> = {
+  CONNECTED: 'common.statusConnected',
+  DISCONNECTED: 'common.statusDisconnected',
+  PROCESSING: 'common.statusProcessing',
+  ERROR: 'common.statusError',
+  LOADING_MODEL: 'common.statusLoadingModel',
+};
diff --git a/invokeai/frontend/web/src/features/system/util/calculateStepPercentage.ts b/invokeai/frontend/web/src/features/system/util/calculateStepPercentage.ts
new file mode 100644
index 0000000000..080c7b1ee6
--- /dev/null
+++ b/invokeai/frontend/web/src/features/system/util/calculateStepPercentage.ts
@@ -0,0 +1,17 @@
+export const calculateStepPercentage = (
+  step: number,
+  total_steps: number,
+  order: number
+) => {
+  if (total_steps === 0) {
+    return 0;
+  }
+
+  // we add one extra to step so that the progress bar will be full when denoise completes
+
+  if (order === 2) {
+    return Math.floor((step + 1 + 1) / 2) / Math.floor((total_steps + 1) / 2);
+  }
+
+  return (step + 1 + 1) / (total_steps + 1);
+};
diff --git a/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx b/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx
index 7af1a4d674..b18a069cfa 100644
--- a/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx
@@ -37,16 +37,14 @@ const FloatingGalleryButton = ({
         <IAIIconButton
           tooltip="Show Gallery (G)"
           tooltipProps={{ placement: 'top' }}
-          aria-label={t('common.showGalleryPanel')}
+          aria-label={t('accessibility.showGalleryPanel')}
           onClick={handleShowGallery}
           icon={<MdPhotoLibrary />}
           sx={{
             p: 0,
             px: 3,
             h: 48,
-            borderStartEndRadius: 0,
-            borderEndEndRadius: 0,
-            shadow: '2xl',
+            borderEndRadius: 0,
           }}
         />
       </Flex>
diff --git a/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx b/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx
index aa24896591..da4d409943 100644
--- a/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx
@@ -1,7 +1,8 @@
-import { ChakraProps, Flex, Portal } from '@chakra-ui/react';
+import { ButtonGroup, ChakraProps, Flex, Portal } from '@chakra-ui/react';
 import IAIIconButton from 'common/components/IAIIconButton';
-import CancelButton from 'features/parameters/components/ProcessButtons/CancelButton';
-import InvokeButton from 'features/parameters/components/ProcessButtons/InvokeButton';
+import CancelCurrentQueueItemButton from 'features/queue/components/CancelCurrentQueueItemButton';
+import ClearQueueButton from 'features/queue/components/ClearQueueButton';
+import QueueBackButton from 'features/queue/components/QueueBackButton';
 import { RefObject, memo } from 'react';
 import { useTranslation } from 'react-i18next';
 
@@ -9,9 +10,8 @@ import { FaSlidersH } from 'react-icons/fa';
 import { ImperativePanelHandle } from 'react-resizable-panels';
 
 const floatingButtonStyles: ChakraProps['sx'] = {
-  borderStartStartRadius: 0,
-  borderEndStartRadius: 0,
-  shadow: '2xl',
+  borderStartRadius: 0,
+  flexGrow: 1,
 };
 
 type Props = {
@@ -43,16 +43,23 @@ const FloatingSidePanelButtons = ({
         insetInlineStart="5.13rem"
         direction="column"
         gap={2}
+        h={48}
       >
-        <IAIIconButton
-          tooltip="Show Side Panel (O, T)"
-          aria-label={t('common.showOptionsPanel')}
-          onClick={handleShowSidePanel}
-          sx={floatingButtonStyles}
-          icon={<FaSlidersH />}
-        />
-        <InvokeButton asIconButton sx={floatingButtonStyles} />
-        <CancelButton sx={floatingButtonStyles} asIconButton />
+        <ButtonGroup isAttached orientation="vertical" flexGrow={3}>
+          <IAIIconButton
+            tooltip={t('parameters.showOptionsPanel')}
+            aria-label={t('parameters.showOptionsPanel')}
+            onClick={handleShowSidePanel}
+            sx={floatingButtonStyles}
+            icon={<FaSlidersH />}
+          />
+          <QueueBackButton asIconButton sx={floatingButtonStyles} />
+          <CancelCurrentQueueItemButton
+            asIconButton
+            sx={floatingButtonStyles}
+          />
+        </ButtonGroup>
+        <ClearQueueButton asIconButton sx={floatingButtonStyles} />
       </Flex>
     </Portal>
   );
diff --git a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx
index 0f5a8d92ff..fb5756b121 100644
--- a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx
@@ -10,7 +10,6 @@ import {
   VisuallyHidden,
 } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
-import AuxiliaryProgressIndicator from 'app/components/AuxiliaryProgressIndicator';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import ImageGalleryContent from 'features/gallery/components/ImageGalleryContent';
@@ -22,8 +21,9 @@ import { isEqual } from 'lodash-es';
 import { MouseEvent, ReactNode, memo, useCallback, useMemo } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
-import { FaCube, FaFont, FaImage } from 'react-icons/fa';
-import { MdDeviceHub, MdGridOn } from 'react-icons/md';
+import { FaCube, FaFont, FaImage, FaStream } from 'react-icons/fa';
+import { FaCircleNodes } from 'react-icons/fa6';
+import { MdGridOn } from 'react-icons/md';
 import { Panel, PanelGroup } from 'react-resizable-panels';
 import { usePanel } from '../hooks/usePanel';
 import { usePanelStorage } from '../hooks/usePanelStorage';
@@ -37,6 +37,7 @@ import ParametersPanel from './ParametersPanel';
 import ImageTab from './tabs/ImageToImage/ImageToImageTab';
 import ModelManagerTab from './tabs/ModelManager/ModelManagerTab';
 import NodesTab from './tabs/Nodes/NodesTab';
+import QueueTab from './tabs/Queue/QueueTab';
 import ResizeHandle from './tabs/ResizeHandle';
 import TextToImageTab from './tabs/TextToImage/TextToImageTab';
 import UnifiedCanvasTab from './tabs/UnifiedCanvas/UnifiedCanvasTab';
@@ -70,7 +71,9 @@ const tabs: InvokeTabInfo[] = [
   {
     id: 'nodes',
     translationKey: 'common.nodes',
-    icon: <Icon as={MdDeviceHub} sx={{ boxSize: 6, pointerEvents: 'none' }} />,
+    icon: (
+      <Icon as={FaCircleNodes} sx={{ boxSize: 6, pointerEvents: 'none' }} />
+    ),
     content: <NodesTab />,
   },
   {
@@ -79,6 +82,12 @@ const tabs: InvokeTabInfo[] = [
     icon: <Icon as={FaCube} sx={{ boxSize: 6, pointerEvents: 'none' }} />,
     content: <ModelManagerTab />,
   },
+  {
+    id: 'queue',
+    translationKey: 'queue.queue',
+    icon: <Icon as={FaStream} sx={{ boxSize: 6, pointerEvents: 'none' }} />,
+    content: <QueueTab />,
+  },
 ];
 
 const enabledTabsSelector = createSelector(
@@ -97,8 +106,8 @@ const SIDE_PANEL_MIN_SIZE_PX = 448;
 const MAIN_PANEL_MIN_SIZE_PX = 448;
 const GALLERY_PANEL_MIN_SIZE_PX = 360;
 
-export const NO_GALLERY_TABS: InvokeTabName[] = ['modelManager'];
-export const NO_SIDE_PANEL_TABS: InvokeTabName[] = ['modelManager'];
+export const NO_GALLERY_TABS: InvokeTabName[] = ['modelManager', 'queue'];
+export const NO_SIDE_PANEL_TABS: InvokeTabName[] = ['modelManager', 'queue'];
 
 const InvokeTabs = () => {
   const activeTab = useAppSelector(activeTabIndexSelector);
@@ -225,7 +234,6 @@ const InvokeTabs = () => {
       >
         {tabs}
         <Spacer />
-        <AuxiliaryProgressIndicator />
       </TabList>
       <PanelGroup
         id="app"
@@ -254,7 +262,6 @@ const InvokeTabs = () => {
             </Panel>
             <ResizeHandle
               onDoubleClick={resetSidePanel}
-              // isCollapsed={isSidePanelCollapsed}
               collapsedDirection={isSidePanelCollapsed ? 'left' : undefined}
             />
             <FloatingSidePanelButtons
@@ -272,7 +279,6 @@ const InvokeTabs = () => {
           <>
             <ResizeHandle
               onDoubleClick={resetGalleryPanel}
-              // isCollapsed={isGalleryPanelCollapsed}
               collapsedDirection={isGalleryPanelCollapsed ? 'right' : undefined}
             />
             <Panel
diff --git a/invokeai/frontend/web/src/features/ui/components/ParametersPanel.tsx b/invokeai/frontend/web/src/features/ui/components/ParametersPanel.tsx
index d3543db7bf..b95f14913f 100644
--- a/invokeai/frontend/web/src/features/ui/components/ParametersPanel.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/ParametersPanel.tsx
@@ -1,7 +1,7 @@
 import { Box, Flex } from '@chakra-ui/react';
 import { RootState } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
+import QueueControls from 'features/queue/components/QueueControls';
 import SDXLImageToImageTabParameters from 'features/sdxl/components/SDXLImageToImageTabParameters';
 import SDXLTextToImageTabParameters from 'features/sdxl/components/SDXLTextToImageTabParameters';
 import SDXLUnifiedCanvasTabParameters from 'features/sdxl/components/SDXLUnifiedCanvasTabParameters';
@@ -67,7 +67,7 @@ const ParametersPanelWrapper = memo((props: PropsWithChildren) => {
         gap: 2,
       }}
     >
-      <ProcessButtons />
+      <QueueControls />
       <Flex
         layerStyle="first"
         sx={{
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters.tsx
index 5c6f68e6ed..46054fcafd 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters.tsx
@@ -1,7 +1,5 @@
 import { Box, Flex } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
 import { useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAICollapse from 'common/components/IAICollapse';
 import ParamCFGScale from 'features/parameters/components/Parameters/Core/ParamCFGScale';
 import ParamIterations from 'features/parameters/components/Parameters/Core/ParamIterations';
@@ -11,28 +9,19 @@ import ParamSteps from 'features/parameters/components/Parameters/Core/ParamStep
 import ImageToImageFit from 'features/parameters/components/Parameters/ImageToImage/ImageToImageFit';
 import ImageToImageStrength from 'features/parameters/components/Parameters/ImageToImage/ImageToImageStrength';
 import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull';
-import { generationSelector } from 'features/parameters/store/generationSelectors';
-import { uiSelector } from 'features/ui/store/uiSelectors';
+import { useCoreParametersCollapseLabel } from 'features/parameters/util/useCoreParametersCollapseLabel';
 import { memo } from 'react';
 
-const selector = createSelector(
-  [uiSelector, generationSelector],
-  (ui, generation) => {
-    const { shouldUseSliders } = ui;
-    const { shouldRandomizeSeed } = generation;
-
-    const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined;
-
-    return { shouldUseSliders, activeLabel };
-  },
-  defaultSelectorOptions
-);
-
 const ImageToImageTabCoreParameters = () => {
-  const { shouldUseSliders, activeLabel } = useAppSelector(selector);
+  const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders);
+  const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel();
 
   return (
-    <IAICollapse label="General" activeLabel={activeLabel} defaultIsOpen={true}>
+    <IAICollapse
+      label="General"
+      activeLabel={iterationsAndSeedLabel}
+      defaultIsOpen={true}
+    >
       <Flex
         sx={{
           flexDirection: 'column',
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx
index fb1a5167a6..a72e24f1b6 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx
@@ -1,16 +1,14 @@
 import { Flex } from '@chakra-ui/react';
-// import { addNewModel } from 'app/socketio/actions';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch } from 'app/store/storeHooks';
 import { useTranslation } from 'react-i18next';
 
 import { SelectItem } from '@mantine/core';
 import { useForm } from '@mantine/form';
-import { makeToast } from 'features/system/util/makeToast';
-import { RootState } from 'app/store/store';
 import IAIButton from 'common/components/IAIButton';
 import IAIMantineTextInput from 'common/components/IAIMantineInput';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import { addToast } from 'features/system/store/systemSlice';
+import { makeToast } from 'features/system/util/makeToast';
 import { useImportMainModelsMutation } from 'services/api/endpoints/models';
 
 const predictionSelectData: SelectItem[] = [
@@ -29,10 +27,6 @@ export default function SimpleAddModels() {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
-  const isProcessing = useAppSelector(
-    (state: RootState) => state.system.isProcessing
-  );
-
   const [importMainModel, { isLoading }] = useImportMainModelsMutation();
 
   const addModelForm = useForm<ExtendedImportModelConfig>({
@@ -55,7 +49,7 @@ export default function SimpleAddModels() {
         dispatch(
           addToast(
             makeToast({
-              title: t('toast.modelAddSimple'),
+              title: t('toast.modelAddedSimple'),
               status: 'success',
             })
           )
@@ -95,11 +89,7 @@ export default function SimpleAddModels() {
           defaultValue="none"
           {...addModelForm.getInputProps('prediction_type')}
         />
-        <IAIButton
-          type="submit"
-          isLoading={isLoading}
-          isDisabled={isLoading || isProcessing}
-        >
+        <IAIButton type="submit" isLoading={isLoading}>
           {t('modelManager.addModel')}
         </IAIButton>
       </Flex>
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx
index 6c3ebf2530..f4943d3ce1 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx
@@ -1,11 +1,10 @@
 import { Badge, Divider, Flex, Text } from '@chakra-ui/react';
 import { useForm } from '@mantine/form';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
 import IAIMantineTextInput from 'common/components/IAIMantineInput';
 import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { addToast } from 'features/system/store/systemSlice';
 import { makeToast } from 'features/system/util/makeToast';
 import { useCallback, useEffect, useState } from 'react';
@@ -26,8 +25,6 @@ type CheckpointModelEditProps = {
 };
 
 export default function CheckpointModelEdit(props: CheckpointModelEditProps) {
-  const isBusy = useAppSelector(selectIsBusy);
-
   const { model } = props;
 
   const [updateMainModel, { isLoading }] = useUpdateMainModelsMutation();
@@ -189,11 +186,7 @@ export default function CheckpointModelEdit(props: CheckpointModelEditProps) {
               />
             </Flex>
 
-            <IAIButton
-              type="submit"
-              isDisabled={isBusy || isLoading}
-              isLoading={isLoading}
-            >
+            <IAIButton type="submit" isLoading={isLoading}>
               {t('modelManager.updateModel')}
             </IAIButton>
           </Flex>
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx
index 39ba4bc4ce..67ec1f53db 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx
@@ -1,12 +1,11 @@
 import { Divider, Flex, Text } from '@chakra-ui/react';
 import { useForm } from '@mantine/form';
-import { makeToast } from 'features/system/util/makeToast';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
 import IAIMantineTextInput from 'common/components/IAIMantineInput';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { addToast } from 'features/system/store/systemSlice';
+import { makeToast } from 'features/system/util/makeToast';
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import {
@@ -22,8 +21,6 @@ type DiffusersModelEditProps = {
 };
 
 export default function DiffusersModelEdit(props: DiffusersModelEditProps) {
-  const isBusy = useAppSelector(selectIsBusy);
-
   const { model } = props;
 
   const [updateMainModel, { isLoading }] = useUpdateMainModelsMutation();
@@ -134,11 +131,7 @@ export default function DiffusersModelEdit(props: DiffusersModelEditProps) {
             label={t('modelManager.vaeLocation')}
             {...diffusersEditForm.getInputProps('vae')}
           />
-          <IAIButton
-            type="submit"
-            isDisabled={isBusy || isLoading}
-            isLoading={isLoading}
-          >
+          <IAIButton type="submit" isLoading={isLoading}>
             {t('modelManager.updateModel')}
           </IAIButton>
         </Flex>
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx
index c87550c7d1..284ce95b3a 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx
@@ -1,17 +1,16 @@
 import { Divider, Flex, Text } from '@chakra-ui/react';
 import { useForm } from '@mantine/form';
-import { makeToast } from 'features/system/util/makeToast';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
 import IAIMantineTextInput from 'common/components/IAIMantineInput';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
-import { addToast } from 'features/system/store/systemSlice';
-import { useCallback } from 'react';
-import { useTranslation } from 'react-i18next';
 import {
   LORA_MODEL_FORMAT_MAP,
   MODEL_TYPE_MAP,
 } from 'features/parameters/types/constants';
+import { addToast } from 'features/system/store/systemSlice';
+import { makeToast } from 'features/system/util/makeToast';
+import { useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
 import {
   LoRAModelConfigEntity,
   useUpdateLoRAModelsMutation,
@@ -24,8 +23,6 @@ type LoRAModelEditProps = {
 };
 
 export default function LoRAModelEdit(props: LoRAModelEditProps) {
-  const isBusy = useAppSelector(selectIsBusy);
-
   const { model } = props;
 
   const [updateLoRAModel, { isLoading }] = useUpdateLoRAModelsMutation();
@@ -123,11 +120,7 @@ export default function LoRAModelEdit(props: LoRAModelEditProps) {
             label={t('modelManager.modelLocation')}
             {...loraEditForm.getInputProps('path')}
           />
-          <IAIButton
-            type="submit"
-            isDisabled={isBusy || isLoading}
-            isLoading={isLoading}
-          >
+          <IAIButton type="submit" isLoading={isLoading}>
             {t('modelManager.updateModel')}
           </IAIButton>
         </Flex>
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx
index 396ece2063..1e744e44ac 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx
@@ -1,11 +1,10 @@
 import { DeleteIcon } from '@chakra-ui/icons';
 import { Badge, Flex, Text, Tooltip } from '@chakra-ui/react';
 import { makeToast } from 'features/system/util/makeToast';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch } from 'app/store/storeHooks';
 import IAIAlertDialog from 'common/components/IAIAlertDialog';
 import IAIButton from 'common/components/IAIButton';
 import IAIIconButton from 'common/components/IAIIconButton';
-import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { addToast } from 'features/system/store/systemSlice';
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -25,7 +24,6 @@ type ModelListItemProps = {
 };
 
 export default function ModelListItem(props: ModelListItemProps) {
-  const isBusy = useAppSelector(selectIsBusy);
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
   const [deleteMainModel] = useDeleteMainModelsMutation();
@@ -129,7 +127,6 @@ export default function ModelListItem(props: ModelListItemProps) {
           <IAIIconButton
             icon={<DeleteIcon />}
             aria-label={t('modelManager.deleteConfig')}
-            isDisabled={isBusy}
             colorScheme="error"
           />
         }
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/Queue/QueueTab.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/Queue/QueueTab.tsx
new file mode 100644
index 0000000000..42dd5ee459
--- /dev/null
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/Queue/QueueTab.tsx
@@ -0,0 +1,8 @@
+import QueueTabContent from 'features/queue/components/QueueTabContent';
+import { memo } from 'react';
+
+const QueueTab = () => {
+  return <QueueTabContent />;
+};
+
+export default memo(QueueTab);
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx
index 152efd3e17..ea6ef03e09 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx
@@ -1,8 +1,5 @@
 import { Box, Flex } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAICollapse from 'common/components/IAICollapse';
 import ParamCFGScale from 'features/parameters/components/Parameters/Core/ParamCFGScale';
 import ParamIterations from 'features/parameters/components/Parameters/Core/ParamIterations';
@@ -10,26 +7,19 @@ import ParamModelandVAEandScheduler from 'features/parameters/components/Paramet
 import ParamSize from 'features/parameters/components/Parameters/Core/ParamSize';
 import ParamSteps from 'features/parameters/components/Parameters/Core/ParamSteps';
 import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull';
+import { useCoreParametersCollapseLabel } from 'features/parameters/util/useCoreParametersCollapseLabel';
 import { memo } from 'react';
 
-const selector = createSelector(
-  stateSelector,
-  ({ ui, generation }) => {
-    const { shouldUseSliders } = ui;
-    const { shouldRandomizeSeed } = generation;
-
-    const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined;
-
-    return { shouldUseSliders, activeLabel };
-  },
-  defaultSelectorOptions
-);
-
 const TextToImageTabCoreParameters = () => {
-  const { shouldUseSliders, activeLabel } = useAppSelector(selector);
+  const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders);
+  const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel();
 
   return (
-    <IAICollapse label="General" activeLabel={activeLabel} defaultIsOpen={true}>
+    <IAICollapse
+      label="General"
+      activeLabel={iterationsAndSeedLabel}
+      defaultIsOpen={true}
+    >
       <Flex
         sx={{
           flexDirection: 'column',
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx
index a68794a930..a865bcd0de 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx
@@ -1,9 +1,7 @@
-import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import { canvasCopiedToClipboard } from 'features/canvas/store/actions';
 import { isStagingSelector } from 'features/canvas/store/canvasSelectors';
-import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider';
 import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard';
 import { useCallback } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
@@ -12,13 +10,8 @@ import { FaCopy } from 'react-icons/fa';
 
 export default function UnifiedCanvasCopyToClipboard() {
   const isStaging = useAppSelector(isStagingSelector);
-  const canvasBaseLayer = getCanvasBaseLayer();
   const { isClipboardAPIAvailable } = useCopyImageToClipboard();
 
-  const isProcessing = useAppSelector(
-    (state: RootState) => state.system.isProcessing
-  );
-
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
@@ -31,7 +24,7 @@ export default function UnifiedCanvasCopyToClipboard() {
       enabled: () => !isStaging && isClipboardAPIAvailable,
       preventDefault: true,
     },
-    [canvasBaseLayer, isProcessing, isClipboardAPIAvailable]
+    [isClipboardAPIAvailable]
   );
 
   const handleCopyImageToClipboard = useCallback(() => {
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx
index e836766f1a..66c378e068 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx
@@ -1,21 +1,14 @@
-import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import { canvasMerged } from 'features/canvas/store/actions';
 import { isStagingSelector } from 'features/canvas/store/canvasSelectors';
-import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import { FaLayerGroup } from 'react-icons/fa';
-
 export default function UnifiedCanvasMergeVisible() {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
-  const canvasBaseLayer = getCanvasBaseLayer();
   const isStaging = useAppSelector(isStagingSelector);
-  const isProcessing = useAppSelector(
-    (state: RootState) => state.system.isProcessing
-  );
 
   useHotkeys(
     ['shift+m'],
@@ -26,7 +19,7 @@ export default function UnifiedCanvasMergeVisible() {
       enabled: () => !isStaging,
       preventDefault: true,
     },
-    [canvasBaseLayer, isProcessing]
+    []
   );
 
   const handleMergeVisible = () => {
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx
index 78b57181e6..31617a4dbe 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx
@@ -1,20 +1,13 @@
-import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import { canvasSavedToGallery } from 'features/canvas/store/actions';
 import { isStagingSelector } from 'features/canvas/store/canvasSelectors';
-import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import { FaSave } from 'react-icons/fa';
 
 export default function UnifiedCanvasSaveToGallery() {
   const isStaging = useAppSelector(isStagingSelector);
-  const canvasBaseLayer = getCanvasBaseLayer();
-  const isProcessing = useAppSelector(
-    (state: RootState) => state.system.isProcessing
-  );
-
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
@@ -27,7 +20,7 @@ export default function UnifiedCanvasSaveToGallery() {
       enabled: () => !isStaging,
       preventDefault: true,
     },
-    [canvasBaseLayer, isProcessing]
+    []
   );
 
   const handleSaveToGallery = () => {
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx
index a11f40a257..59a0890960 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx
@@ -1,19 +1,16 @@
 import { ButtonGroup, Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
-import {
-  canvasSelector,
-  isStagingSelector,
-} from 'features/canvas/store/canvasSelectors';
+import { isStagingSelector } from 'features/canvas/store/canvasSelectors';
 import {
   addEraseRect,
   addFillRect,
   setTool,
 } from 'features/canvas/store/canvasSlice';
-import { systemSelector } from 'features/system/store/systemSelectors';
 import { isEqual } from 'lodash-es';
-import { memo } from 'react';
+import { memo, useCallback } from 'react';
 
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
@@ -26,15 +23,13 @@ import {
 } from 'react-icons/fa';
 
 export const selector = createSelector(
-  [canvasSelector, isStagingSelector, systemSelector],
-  (canvas, isStaging, system) => {
-    const { isProcessing } = system;
+  [stateSelector, isStagingSelector],
+  ({ canvas }, isStaging) => {
     const { tool } = canvas;
 
     return {
       tool,
       isStaging,
-      isProcessing,
     };
   },
   {
@@ -107,11 +102,23 @@ const UnifiedCanvasToolSelect = () => {
     }
   );
 
-  const handleSelectBrushTool = () => dispatch(setTool('brush'));
-  const handleSelectEraserTool = () => dispatch(setTool('eraser'));
-  const handleSelectColorPickerTool = () => dispatch(setTool('colorPicker'));
-  const handleFillRect = () => dispatch(addFillRect());
-  const handleEraseBoundingBox = () => dispatch(addEraseRect());
+  const handleSelectBrushTool = useCallback(
+    () => dispatch(setTool('brush')),
+    [dispatch]
+  );
+  const handleSelectEraserTool = useCallback(
+    () => dispatch(setTool('eraser')),
+    [dispatch]
+  );
+  const handleSelectColorPickerTool = useCallback(
+    () => dispatch(setTool('colorPicker')),
+    [dispatch]
+  );
+  const handleFillRect = useCallback(() => dispatch(addFillRect()), [dispatch]);
+  const handleEraseBoundingBox = useCallback(
+    () => dispatch(addEraseRect()),
+    [dispatch]
+  );
 
   return (
     <Flex flexDirection="column" gap={2}>
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx
index 36f7ff7320..c57a68ed62 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx
@@ -1,8 +1,5 @@
 import { Box, Flex } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAICollapse from 'common/components/IAICollapse';
 import ParamBoundingBoxSize from 'features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize';
 import ParamCFGScale from 'features/parameters/components/Parameters/Core/ParamCFGScale';
@@ -11,26 +8,19 @@ import ParamModelandVAEandScheduler from 'features/parameters/components/Paramet
 import ParamSteps from 'features/parameters/components/Parameters/Core/ParamSteps';
 import ImageToImageStrength from 'features/parameters/components/Parameters/ImageToImage/ImageToImageStrength';
 import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull';
+import { useCoreParametersCollapseLabel } from 'features/parameters/util/useCoreParametersCollapseLabel';
 import { memo } from 'react';
 
-const selector = createSelector(
-  stateSelector,
-  ({ ui, generation }) => {
-    const { shouldUseSliders } = ui;
-    const { shouldRandomizeSeed } = generation;
-
-    const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined;
-
-    return { shouldUseSliders, activeLabel };
-  },
-  defaultSelectorOptions
-);
-
 const UnifiedCanvasCoreParameters = () => {
-  const { shouldUseSliders, activeLabel } = useAppSelector(selector);
+  const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders);
+  const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel();
 
   return (
-    <IAICollapse label="General" activeLabel={activeLabel} defaultIsOpen={true}>
+    <IAICollapse
+      label="General"
+      activeLabel={iterationsAndSeedLabel}
+      defaultIsOpen={true}
+    >
       <Flex
         sx={{
           flexDirection: 'column',
diff --git a/invokeai/frontend/web/src/features/ui/store/tabMap.ts b/invokeai/frontend/web/src/features/ui/store/tabMap.ts
index 0cae8eac43..f4abd17203 100644
--- a/invokeai/frontend/web/src/features/ui/store/tabMap.ts
+++ b/invokeai/frontend/web/src/features/ui/store/tabMap.ts
@@ -4,7 +4,7 @@ export const tabMap = [
   'unifiedCanvas',
   'nodes',
   'modelManager',
-  'batch',
+  'queue',
 ] as const;
 
 export type InvokeTabName = (typeof tabMap)[number];
diff --git a/invokeai/frontend/web/src/services/api/endpoints/boards.ts b/invokeai/frontend/web/src/services/api/endpoints/boards.ts
index 82167dc7ba..53b3bfd59d 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/boards.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/boards.ts
@@ -9,7 +9,7 @@ import {
   OffsetPaginatedResults_ImageDTO_,
   UpdateBoardArg,
 } from 'services/api/types';
-import { ApiFullTagDescription, LIST_TAG, api } from '..';
+import { ApiTagDescription, LIST_TAG, api } from '..';
 import { getListImagesUrl } from '../util';
 
 export const boardsApi = api.injectEndpoints({
@@ -21,7 +21,7 @@ export const boardsApi = api.injectEndpoints({
       query: (arg) => ({ url: 'boards/', params: arg }),
       providesTags: (result) => {
         // any list of boards
-        const tags: ApiFullTagDescription[] = [{ type: 'Board', id: LIST_TAG }];
+        const tags: ApiTagDescription[] = [{ type: 'Board', id: LIST_TAG }];
 
         if (result) {
           // and individual tags for each board
@@ -44,7 +44,7 @@ export const boardsApi = api.injectEndpoints({
       }),
       providesTags: (result) => {
         // any list of boards
-        const tags: ApiFullTagDescription[] = [{ type: 'Board', id: LIST_TAG }];
+        const tags: ApiTagDescription[] = [{ type: 'Board', id: LIST_TAG }];
 
         if (result) {
           // and individual tags for each board
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index cb7a38c14f..e653a6ec3e 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -13,7 +13,7 @@ import {
 } from 'features/nodes/types/types';
 import { getMetadataAndWorkflowFromImageBlob } from 'features/nodes/util/getMetadataAndWorkflowFromImageBlob';
 import { keyBy } from 'lodash-es';
-import { ApiFullTagDescription, LIST_TAG, api } from '..';
+import { ApiTagDescription, LIST_TAG, api } from '..';
 import { $authToken, $projectId } from '../client';
 import { components, paths } from '../schema';
 import {
@@ -1310,7 +1310,7 @@ export const imagesApi = api.injectEndpoints({
       }),
       invalidatesTags: (result, error, { imageDTOs }) => {
         const touchedBoardIds: string[] = [];
-        const tags: ApiFullTagDescription[] = [
+        const tags: ApiTagDescription[] = [
           { type: 'BoardImagesTotal', id: 'none' },
           { type: 'BoardAssetsTotal', id: 'none' },
         ];
diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts
index b3afd143c8..41c0dee7fd 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/models.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts
@@ -18,7 +18,7 @@ import {
 } from 'services/api/types';
 
 import queryString from 'query-string';
-import { ApiFullTagDescription, LIST_TAG, api } from '..';
+import { ApiTagDescription, LIST_TAG, api } from '..';
 import { operations, paths } from '../schema';
 
 export type DiffusersModelConfigEntity = DiffusersModelConfig & { id: string };
@@ -189,9 +189,7 @@ export const modelsApi = api.injectEndpoints({
         return `models/?${query}`;
       },
       providesTags: (result) => {
-        const tags: ApiFullTagDescription[] = [
-          { type: 'OnnxModel', id: LIST_TAG },
-        ];
+        const tags: ApiTagDescription[] = [{ type: 'OnnxModel', id: LIST_TAG }];
 
         if (result) {
           tags.push(
@@ -228,9 +226,7 @@ export const modelsApi = api.injectEndpoints({
         return `models/?${query}`;
       },
       providesTags: (result) => {
-        const tags: ApiFullTagDescription[] = [
-          { type: 'MainModel', id: LIST_TAG },
-        ];
+        const tags: ApiTagDescription[] = [{ type: 'MainModel', id: LIST_TAG }];
 
         if (result) {
           tags.push(
@@ -364,9 +360,7 @@ export const modelsApi = api.injectEndpoints({
     getLoRAModels: build.query<EntityState<LoRAModelConfigEntity>, void>({
       query: () => ({ url: 'models/', params: { model_type: 'lora' } }),
       providesTags: (result) => {
-        const tags: ApiFullTagDescription[] = [
-          { type: 'LoRAModel', id: LIST_TAG },
-        ];
+        const tags: ApiTagDescription[] = [{ type: 'LoRAModel', id: LIST_TAG }];
 
         if (result) {
           tags.push(
@@ -420,7 +414,7 @@ export const modelsApi = api.injectEndpoints({
     >({
       query: () => ({ url: 'models/', params: { model_type: 'controlnet' } }),
       providesTags: (result) => {
-        const tags: ApiFullTagDescription[] = [
+        const tags: ApiTagDescription[] = [
           { type: 'ControlNetModel', id: LIST_TAG },
         ];
 
@@ -451,7 +445,7 @@ export const modelsApi = api.injectEndpoints({
     >({
       query: () => ({ url: 'models/', params: { model_type: 'ip_adapter' } }),
       providesTags: (result) => {
-        const tags: ApiFullTagDescription[] = [
+        const tags: ApiTagDescription[] = [
           { type: 'IPAdapterModel', id: LIST_TAG },
         ];
 
@@ -479,9 +473,7 @@ export const modelsApi = api.injectEndpoints({
     getVaeModels: build.query<EntityState<VaeModelConfigEntity>, void>({
       query: () => ({ url: 'models/', params: { model_type: 'vae' } }),
       providesTags: (result) => {
-        const tags: ApiFullTagDescription[] = [
-          { type: 'VaeModel', id: LIST_TAG },
-        ];
+        const tags: ApiTagDescription[] = [{ type: 'VaeModel', id: LIST_TAG }];
 
         if (result) {
           tags.push(
@@ -510,7 +502,7 @@ export const modelsApi = api.injectEndpoints({
     >({
       query: () => ({ url: 'models/', params: { model_type: 'embedding' } }),
       providesTags: (result) => {
-        const tags: ApiFullTagDescription[] = [
+        const tags: ApiTagDescription[] = [
           { type: 'TextualInversionModel', id: LIST_TAG },
         ];
 
@@ -545,7 +537,7 @@ export const modelsApi = api.injectEndpoints({
         };
       },
       providesTags: (result) => {
-        const tags: ApiFullTagDescription[] = [
+        const tags: ApiTagDescription[] = [
           { type: 'ScannedModels', id: LIST_TAG },
         ];
 
diff --git a/invokeai/frontend/web/src/services/api/endpoints/queue.ts b/invokeai/frontend/web/src/services/api/endpoints/queue.ts
new file mode 100644
index 0000000000..6d436b231f
--- /dev/null
+++ b/invokeai/frontend/web/src/services/api/endpoints/queue.ts
@@ -0,0 +1,382 @@
+import {
+  AnyAction,
+  EntityState,
+  ThunkDispatch,
+  createEntityAdapter,
+} from '@reduxjs/toolkit';
+import { $queueId } from 'features/queue/store/nanoStores';
+import { listParamsReset } from 'features/queue/store/queueSlice';
+import queryString from 'query-string';
+import { ApiTagDescription, api } from '..';
+import { components, paths } from '../schema';
+
+const getListQueueItemsUrl = (
+  queryArgs?: paths['/api/v1/queue/{queue_id}/list']['get']['parameters']['query']
+) => {
+  const query = queryArgs
+    ? queryString.stringify(queryArgs, {
+        arrayFormat: 'none',
+      })
+    : undefined;
+
+  if (query) {
+    return `queue/${$queueId.get()}/list?${query}`;
+  }
+
+  return `queue/${$queueId.get()}/list`;
+};
+
+export type SessionQueueItemStatus = NonNullable<
+  NonNullable<
+    paths['/api/v1/queue/{queue_id}/list']['get']['parameters']['query']
+  >['status']
+>;
+
+export const queueItemsAdapter = createEntityAdapter<
+  components['schemas']['SessionQueueItemDTO']
+>({
+  selectId: (queueItem) => queueItem.item_id,
+  sortComparer: (a, b) => {
+    // Sort by priority in descending order
+    if (a.priority > b.priority) {
+      return -1;
+    }
+    if (a.priority < b.priority) {
+      return 1;
+    }
+
+    // If priority is the same, sort by id in ascending order
+    if (a.item_id < b.item_id) {
+      return -1;
+    }
+    if (a.item_id > b.item_id) {
+      return 1;
+    }
+
+    return 0;
+  },
+});
+
+export const queueApi = api.injectEndpoints({
+  endpoints: (build) => ({
+    enqueueBatch: build.mutation<
+      paths['/api/v1/queue/{queue_id}/enqueue_batch']['post']['responses']['201']['content']['application/json'],
+      paths['/api/v1/queue/{queue_id}/enqueue_batch']['post']['requestBody']['content']['application/json']
+    >({
+      query: (arg) => ({
+        url: `queue/${$queueId.get()}/enqueue_batch`,
+        body: arg,
+        method: 'POST',
+      }),
+      invalidatesTags: [
+        'SessionQueueStatus',
+        'CurrentSessionQueueItem',
+        'NextSessionQueueItem',
+      ],
+      onQueryStarted: async (arg, api) => {
+        const { dispatch, queryFulfilled } = api;
+        try {
+          await queryFulfilled;
+          resetListQueryData(dispatch);
+        } catch {
+          // no-op
+        }
+      },
+    }),
+    enqueueGraph: build.mutation<
+      paths['/api/v1/queue/{queue_id}/enqueue_graph']['post']['responses']['201']['content']['application/json'],
+      paths['/api/v1/queue/{queue_id}/enqueue_graph']['post']['requestBody']['content']['application/json']
+    >({
+      query: (arg) => ({
+        url: `queue/${$queueId.get()}/enqueue_graph`,
+        body: arg,
+        method: 'POST',
+      }),
+      invalidatesTags: [
+        'SessionQueueStatus',
+        'CurrentSessionQueueItem',
+        'NextSessionQueueItem',
+      ],
+      onQueryStarted: async (arg, api) => {
+        const { dispatch, queryFulfilled } = api;
+        try {
+          await queryFulfilled;
+          resetListQueryData(dispatch);
+        } catch {
+          // no-op
+        }
+      },
+    }),
+    resumeProcessor: build.mutation<
+      paths['/api/v1/queue/{queue_id}/processor/resume']['put']['responses']['200']['content']['application/json'],
+      void
+    >({
+      query: () => ({
+        url: `queue/${$queueId.get()}/processor/resume`,
+        method: 'PUT',
+      }),
+      invalidatesTags: ['CurrentSessionQueueItem', 'SessionQueueStatus'],
+    }),
+    pauseProcessor: build.mutation<
+      paths['/api/v1/queue/{queue_id}/processor/pause']['put']['responses']['200']['content']['application/json'],
+      void
+    >({
+      query: () => ({
+        url: `queue/${$queueId.get()}/processor/pause`,
+        method: 'PUT',
+      }),
+      invalidatesTags: ['CurrentSessionQueueItem', 'SessionQueueStatus'],
+    }),
+    pruneQueue: build.mutation<
+      paths['/api/v1/queue/{queue_id}/prune']['put']['responses']['200']['content']['application/json'],
+      void
+    >({
+      query: () => ({
+        url: `queue/${$queueId.get()}/prune`,
+        method: 'PUT',
+      }),
+      invalidatesTags: [
+        'SessionQueueStatus',
+        'BatchStatus',
+        'SessionQueueItem',
+        'SessionQueueItemDTO',
+      ],
+      onQueryStarted: async (arg, api) => {
+        const { dispatch, queryFulfilled } = api;
+        try {
+          await queryFulfilled;
+          resetListQueryData(dispatch);
+        } catch {
+          // no-op
+        }
+      },
+    }),
+    clearQueue: build.mutation<
+      paths['/api/v1/queue/{queue_id}/clear']['put']['responses']['200']['content']['application/json'],
+      void
+    >({
+      query: () => ({
+        url: `queue/${$queueId.get()}/clear`,
+        method: 'PUT',
+      }),
+      invalidatesTags: [
+        'SessionQueueStatus',
+        'SessionProcessorStatus',
+        'BatchStatus',
+        'CurrentSessionQueueItem',
+        'NextSessionQueueItem',
+        'SessionQueueItem',
+        'SessionQueueItemDTO',
+      ],
+      onQueryStarted: async (arg, api) => {
+        const { dispatch, queryFulfilled } = api;
+        try {
+          await queryFulfilled;
+          resetListQueryData(dispatch);
+        } catch {
+          // no-op
+        }
+      },
+    }),
+    getCurrentQueueItem: build.query<
+      paths['/api/v1/queue/{queue_id}/current']['get']['responses']['200']['content']['application/json'],
+      void
+    >({
+      query: () => ({
+        url: `queue/${$queueId.get()}/current`,
+        method: 'GET',
+      }),
+      providesTags: (result) => {
+        const tags: ApiTagDescription[] = ['CurrentSessionQueueItem'];
+        if (result) {
+          tags.push({ type: 'SessionQueueItem', id: result.item_id });
+        }
+        return tags;
+      },
+    }),
+    getNextQueueItem: build.query<
+      paths['/api/v1/queue/{queue_id}/next']['get']['responses']['200']['content']['application/json'],
+      void
+    >({
+      query: () => ({
+        url: `queue/${$queueId.get()}/next`,
+        method: 'GET',
+      }),
+      providesTags: (result) => {
+        const tags: ApiTagDescription[] = ['NextSessionQueueItem'];
+        if (result) {
+          tags.push({ type: 'SessionQueueItem', id: result.item_id });
+        }
+        return tags;
+      },
+    }),
+    getQueueStatus: build.query<
+      paths['/api/v1/queue/{queue_id}/status']['get']['responses']['200']['content']['application/json'],
+      void
+    >({
+      query: () => ({
+        url: `queue/${$queueId.get()}/status`,
+        method: 'GET',
+      }),
+
+      providesTags: ['SessionQueueStatus'],
+    }),
+    getBatchStatus: build.query<
+      paths['/api/v1/queue/{queue_id}/b/{batch_id}/status']['get']['responses']['200']['content']['application/json'],
+      { batch_id: string }
+    >({
+      query: ({ batch_id }) => ({
+        url: `queue/${$queueId.get()}/b/${batch_id}/status`,
+        method: 'GET',
+      }),
+      providesTags: (result) => {
+        if (!result) {
+          return [];
+        }
+        return [{ type: 'BatchStatus', id: result.batch_id }];
+      },
+    }),
+    getQueueItem: build.query<
+      paths['/api/v1/queue/{queue_id}/i/{item_id}']['get']['responses']['200']['content']['application/json'],
+      number
+    >({
+      query: (item_id) => ({
+        url: `queue/${$queueId.get()}/i/${item_id}`,
+        method: 'GET',
+      }),
+      providesTags: (result) => {
+        if (!result) {
+          return [];
+        }
+        return [{ type: 'SessionQueueItem', id: result.item_id }];
+      },
+    }),
+    cancelQueueItem: build.mutation<
+      paths['/api/v1/queue/{queue_id}/i/{item_id}/cancel']['put']['responses']['200']['content']['application/json'],
+      number
+    >({
+      query: (item_id) => ({
+        url: `queue/${$queueId.get()}/i/${item_id}/cancel`,
+        method: 'PUT',
+      }),
+      onQueryStarted: async (item_id, { dispatch, queryFulfilled }) => {
+        try {
+          const { data } = await queryFulfilled;
+          dispatch(
+            queueApi.util.updateQueryData(
+              'listQueueItems',
+              undefined,
+              (draft) => {
+                queueItemsAdapter.updateOne(draft, {
+                  id: item_id,
+                  changes: { status: data.status },
+                });
+              }
+            )
+          );
+        } catch {
+          // no-op
+        }
+      },
+      invalidatesTags: (result) => {
+        if (!result) {
+          return [];
+        }
+        return [
+          { type: 'SessionQueueItem', id: result.item_id },
+          { type: 'SessionQueueItemDTO', id: result.item_id },
+          { type: 'BatchStatus', id: result.batch_id },
+        ];
+      },
+    }),
+    cancelByBatchIds: build.mutation<
+      paths['/api/v1/queue/{queue_id}/cancel_by_batch_ids']['put']['responses']['200']['content']['application/json'],
+      paths['/api/v1/queue/{queue_id}/cancel_by_batch_ids']['put']['requestBody']['content']['application/json']
+    >({
+      query: (body) => ({
+        url: `queue/${$queueId.get()}/cancel_by_batch_ids`,
+        method: 'PUT',
+        body,
+      }),
+      onQueryStarted: async (arg, api) => {
+        const { dispatch, queryFulfilled } = api;
+        try {
+          await queryFulfilled;
+          resetListQueryData(dispatch);
+        } catch {
+          // no-op
+        }
+      },
+      invalidatesTags: [
+        'SessionQueueItem',
+        'SessionQueueItemDTO',
+        'BatchStatus',
+      ],
+    }),
+    listQueueItems: build.query<
+      EntityState<components['schemas']['SessionQueueItemDTO']> & {
+        has_more: boolean;
+      },
+      { cursor?: number; priority?: number } | undefined
+    >({
+      query: (queryArgs) => ({
+        url: getListQueueItemsUrl(queryArgs),
+        method: 'GET',
+      }),
+      serializeQueryArgs: () => {
+        return `queue/${$queueId.get()}/list`;
+      },
+      transformResponse: (
+        response: components['schemas']['CursorPaginatedResults_SessionQueueItemDTO_']
+      ) =>
+        queueItemsAdapter.addMany(
+          queueItemsAdapter.getInitialState({
+            has_more: response.has_more,
+          }),
+          response.items
+        ),
+      merge: (cache, response) => {
+        queueItemsAdapter.addMany(
+          cache,
+          queueItemsAdapter.getSelectors().selectAll(response)
+        );
+        cache.has_more = response.has_more;
+      },
+      forceRefetch: ({ currentArg, previousArg }) => currentArg !== previousArg,
+      keepUnusedDataFor: 60 * 5, // 5 minutes
+    }),
+  }),
+});
+
+export const {
+  useCancelByBatchIdsMutation,
+  useEnqueueGraphMutation,
+  useEnqueueBatchMutation,
+  usePauseProcessorMutation,
+  useResumeProcessorMutation,
+  useClearQueueMutation,
+  usePruneQueueMutation,
+  useGetCurrentQueueItemQuery,
+  useGetQueueStatusQuery,
+  useGetQueueItemQuery,
+  useGetNextQueueItemQuery,
+  useListQueueItemsQuery,
+  useCancelQueueItemMutation,
+  useGetBatchStatusQuery,
+} = queueApi;
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+const resetListQueryData = (dispatch: ThunkDispatch<any, any, AnyAction>) => {
+  dispatch(
+    queueApi.util.updateQueryData('listQueueItems', undefined, (draft) => {
+      // remove all items from the list
+      queueItemsAdapter.removeAll(draft);
+      // reset the has_more flag
+      draft.has_more = false;
+    })
+  );
+  // set the list cursor and priority to undefined
+  dispatch(listParamsReset());
+  // we have to manually kick off another query to get the first page and re-initialize the list
+  dispatch(queueApi.endpoints.listQueueItems.initiate(undefined));
+};
diff --git a/invokeai/frontend/web/src/services/api/endpoints/utilities.ts b/invokeai/frontend/web/src/services/api/endpoints/utilities.ts
new file mode 100644
index 0000000000..4d2c77c188
--- /dev/null
+++ b/invokeai/frontend/web/src/services/api/endpoints/utilities.ts
@@ -0,0 +1,20 @@
+import { api } from '..';
+import { components } from '../schema';
+
+export const utilitiesApi = api.injectEndpoints({
+  endpoints: (build) => ({
+    dynamicPrompts: build.query<
+      components['schemas']['DynamicPromptsResponse'],
+      { prompt: string; max_prompts: number }
+    >({
+      query: (arg) => ({
+        url: 'utilities/dynamicprompts',
+        body: arg,
+        method: 'POST',
+      }),
+      keepUnusedDataFor: 86400, // 24 hours
+    }),
+  }),
+});
+
+export const { useDynamicPromptsQuery } = utilitiesApi;
diff --git a/invokeai/frontend/web/src/services/api/index.ts b/invokeai/frontend/web/src/services/api/index.ts
index 325456901b..8b4f886bb0 100644
--- a/invokeai/frontend/web/src/services/api/index.ts
+++ b/invokeai/frontend/web/src/services/api/index.ts
@@ -1,4 +1,4 @@
-import { FullTagDescription } from '@reduxjs/toolkit/dist/query/endpointDefinitions';
+import { TagDescription } from '@reduxjs/toolkit/dist/query/endpointDefinitions';
 import {
   BaseQueryFn,
   FetchArgs,
@@ -18,10 +18,14 @@ export const tagTypes = [
   'ImageMetadata',
   'ImageMetadataFromFile',
   'Model',
+  'SessionQueueItem',
+  'SessionQueueItemDTO',
+  'SessionQueueItemDTOList',
+  'SessionQueueStatus',
+  'SessionProcessorStatus',
+  'BatchStatus',
 ];
-export type ApiFullTagDescription = FullTagDescription<
-  (typeof tagTypes)[number]
->;
+export type ApiTagDescription = TagDescription<(typeof tagTypes)[number]>;
 export const LIST_TAG = 'LIST';
 
 const dynamicBaseQuery: BaseQueryFn<
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index b36f64e90c..26cb798594 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -8,11 +8,13 @@ export type paths = {
   "/api/v1/sessions/": {
     /**
      * List Sessions
+     * @deprecated
      * @description Gets a list of sessions, optionally searching
      */
     get: operations["list_sessions"];
     /**
      * Create Session
+     * @deprecated
      * @description Creates a new session, optionally initializing it with an invocation graph
      */
     post: operations["create_session"];
@@ -20,6 +22,7 @@ export type paths = {
   "/api/v1/sessions/{session_id}": {
     /**
      * Get Session
+     * @deprecated
      * @description Gets a session
      */
     get: operations["get_session"];
@@ -27,6 +30,7 @@ export type paths = {
   "/api/v1/sessions/{session_id}/nodes": {
     /**
      * Add Node
+     * @deprecated
      * @description Adds a node to the graph
      */
     post: operations["add_node"];
@@ -34,11 +38,13 @@ export type paths = {
   "/api/v1/sessions/{session_id}/nodes/{node_path}": {
     /**
      * Update Node
+     * @deprecated
      * @description Updates a node in the graph and removes all linked edges
      */
     put: operations["update_node"];
     /**
      * Delete Node
+     * @deprecated
      * @description Deletes a node in the graph and removes all linked edges
      */
     delete: operations["delete_node"];
@@ -46,6 +52,7 @@ export type paths = {
   "/api/v1/sessions/{session_id}/edges": {
     /**
      * Add Edge
+     * @deprecated
      * @description Adds an edge to the graph
      */
     post: operations["add_edge"];
@@ -53,6 +60,7 @@ export type paths = {
   "/api/v1/sessions/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}": {
     /**
      * Delete Edge
+     * @deprecated
      * @description Deletes an edge from the graph
      */
     delete: operations["delete_edge"];
@@ -60,15 +68,24 @@ export type paths = {
   "/api/v1/sessions/{session_id}/invoke": {
     /**
      * Invoke Session
+     * @deprecated
      * @description Invokes a session
      */
     put: operations["invoke_session"];
     /**
      * Cancel Session Invoke
+     * @deprecated
      * @description Invokes a session
      */
     delete: operations["cancel_session_invoke"];
   };
+  "/api/v1/utilities/dynamicprompts": {
+    /**
+     * Parse Dynamicprompts
+     * @description Creates a batch process
+     */
+    post: operations["parse_dynamicprompts"];
+  };
   "/api/v1/models/": {
     /**
      * List Models
@@ -300,6 +317,104 @@ export type paths = {
      */
     post: operations["set_log_level"];
   };
+  "/api/v1/queue/{queue_id}/enqueue_graph": {
+    /**
+     * Enqueue Graph
+     * @description Enqueues a graph for single execution.
+     */
+    post: operations["enqueue_graph"];
+  };
+  "/api/v1/queue/{queue_id}/enqueue_batch": {
+    /**
+     * Enqueue Batch
+     * @description Processes a batch and enqueues the output graphs for execution.
+     */
+    post: operations["enqueue_batch"];
+  };
+  "/api/v1/queue/{queue_id}/list": {
+    /**
+     * List Queue Items
+     * @description Gets all queue items (without graphs)
+     */
+    get: operations["list_queue_items"];
+  };
+  "/api/v1/queue/{queue_id}/processor/resume": {
+    /**
+     * Resume
+     * @description Resumes session processor
+     */
+    put: operations["resume"];
+  };
+  "/api/v1/queue/{queue_id}/processor/pause": {
+    /**
+     * Pause
+     * @description Pauses session processor
+     */
+    put: operations["pause"];
+  };
+  "/api/v1/queue/{queue_id}/cancel_by_batch_ids": {
+    /**
+     * Cancel By Batch Ids
+     * @description Immediately cancels all queue items from the given batch ids
+     */
+    put: operations["cancel_by_batch_ids"];
+  };
+  "/api/v1/queue/{queue_id}/clear": {
+    /**
+     * Clear
+     * @description Clears the queue entirely, immediately canceling the currently-executing session
+     */
+    put: operations["clear"];
+  };
+  "/api/v1/queue/{queue_id}/prune": {
+    /**
+     * Prune
+     * @description Prunes all completed or errored queue items
+     */
+    put: operations["prune"];
+  };
+  "/api/v1/queue/{queue_id}/current": {
+    /**
+     * Get Current Queue Item
+     * @description Gets the currently execution queue item
+     */
+    get: operations["get_current_queue_item"];
+  };
+  "/api/v1/queue/{queue_id}/next": {
+    /**
+     * Get Next Queue Item
+     * @description Gets the next queue item, without executing it
+     */
+    get: operations["get_next_queue_item"];
+  };
+  "/api/v1/queue/{queue_id}/status": {
+    /**
+     * Get Queue Status
+     * @description Gets the status of the session queue
+     */
+    get: operations["get_queue_status"];
+  };
+  "/api/v1/queue/{queue_id}/b/{batch_id}/status": {
+    /**
+     * Get Batch Status
+     * @description Gets the status of the session queue
+     */
+    get: operations["get_batch_status"];
+  };
+  "/api/v1/queue/{queue_id}/i/{item_id}": {
+    /**
+     * Get Queue Item
+     * @description Gets a queue item
+     */
+    get: operations["get_queue_item"];
+  };
+  "/api/v1/queue/{queue_id}/i/{item_id}/cancel": {
+    /**
+     * Cancel Queue Item
+     * @description Deletes a queue item
+     */
+    put: operations["cancel_queue_item"];
+  };
 };
 
 export type webhooks = Record<string, never>;
@@ -340,6 +455,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * A
        * @description The first number
@@ -402,6 +523,91 @@ export type components = {
      * @enum {string}
      */
     BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
+    /** Batch */
+    Batch: {
+      /**
+       * Batch Id
+       * @description The ID of the batch
+       */
+      batch_id?: string;
+      /**
+       * Data
+       * @description The batch data collection.
+       */
+      data?: components["schemas"]["BatchDatum"][][];
+      /**
+       * Graph
+       * @description The graph to initialize the session with
+       */
+      graph: components["schemas"]["Graph"];
+      /**
+       * Runs
+       * @description Int stating how many times to iterate through all possible batch indices
+       * @default 1
+       */
+      runs: number;
+    };
+    /** BatchDatum */
+    BatchDatum: {
+      /**
+       * Node Path
+       * @description The node into which this batch data collection will be substituted.
+       */
+      node_path: string;
+      /**
+       * Field Name
+       * @description The field into which this batch data collection will be substituted.
+       */
+      field_name: string;
+      /**
+       * Items
+       * @description The list of items to substitute into the node/field.
+       */
+      items?: (string | number)[];
+    };
+    /** BatchStatus */
+    BatchStatus: {
+      /**
+       * Queue Id
+       * @description The ID of the queue
+       */
+      queue_id: string;
+      /**
+       * Batch Id
+       * @description The ID of the batch
+       */
+      batch_id: string;
+      /**
+       * Pending
+       * @description Number of queue items with status 'pending'
+       */
+      pending: number;
+      /**
+       * In Progress
+       * @description Number of queue items with status 'in_progress'
+       */
+      in_progress: number;
+      /**
+       * Completed
+       * @description Number of queue items with status 'complete'
+       */
+      completed: number;
+      /**
+       * Failed
+       * @description Number of queue items with status 'error'
+       */
+      failed: number;
+      /**
+       * Canceled
+       * @description Number of queue items with status 'canceled'
+       */
+      canceled: number;
+      /**
+       * Total
+       * @description Total number of queue items
+       */
+      total: number;
+    };
     /**
      * Blank Image
      * @description Creates a blank image and forwards it to the pipeline
@@ -423,6 +629,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Width
        * @description The width of the image
@@ -481,6 +693,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Latents A
        * @description Latents tensor
@@ -584,6 +802,14 @@ export type components = {
        */
       image_names: string[];
     };
+    /** Body_cancel_by_batch_ids */
+    Body_cancel_by_batch_ids: {
+      /**
+       * Batch Ids
+       * @description The list of batch_ids to cancel all queue items for
+       */
+      batch_ids: string[];
+    };
     /** Body_delete_images_from_list */
     Body_delete_images_from_list: {
       /**
@@ -592,6 +818,34 @@ export type components = {
        */
       image_names: string[];
     };
+    /** Body_enqueue_batch */
+    Body_enqueue_batch: {
+      /**
+       * Batch
+       * @description Batch to process
+       */
+      batch: components["schemas"]["Batch"];
+      /**
+       * Prepend
+       * @description Whether or not to prepend this batch in the queue
+       * @default false
+       */
+      prepend?: boolean;
+    };
+    /** Body_enqueue_graph */
+    Body_enqueue_graph: {
+      /**
+       * Graph
+       * @description The graph to enqueue
+       */
+      graph: components["schemas"]["Graph"];
+      /**
+       * Prepend
+       * @description Whether or not to prepend this batch in the queue
+       * @default false
+       */
+      prepend?: boolean;
+    };
     /** Body_import_model */
     Body_import_model: {
       /**
@@ -639,6 +893,26 @@ export type components = {
        */
       merge_dest_directory?: string;
     };
+    /** Body_parse_dynamicprompts */
+    Body_parse_dynamicprompts: {
+      /**
+       * Prompt
+       * @description The prompt to parse with dynamicprompts
+       */
+      prompt: string;
+      /**
+       * Max Prompts
+       * @description The max number of prompts to generate
+       * @default 1000
+       */
+      max_prompts?: number;
+      /**
+       * Combinatorial
+       * @description Whether to use the combinatorial generator
+       * @default true
+       */
+      combinatorial?: boolean;
+    };
     /** Body_remove_image_from_board */
     Body_remove_image_from_board: {
       /**
@@ -700,6 +974,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Collection
        * @description The collection of boolean values
@@ -750,6 +1030,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Value
        * @description The boolean value
@@ -832,6 +1118,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to infill
@@ -844,6 +1136,17 @@ export type components = {
        */
       type: "infill_cv2";
     };
+    /**
+     * CancelByBatchIDsResult
+     * @description Result of canceling by list of batch ids
+     */
+    CancelByBatchIDsResult: {
+      /**
+       * Canceled
+       * @description Number of queue items canceled
+       */
+      canceled: number;
+    };
     /**
      * Canny Processor
      * @description Canny edge detection for ControlNet
@@ -865,6 +1168,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -889,6 +1198,17 @@ export type components = {
        */
       high_threshold?: number;
     };
+    /**
+     * ClearResult
+     * @description Result of clearing the session queue
+     */
+    ClearResult: {
+      /**
+       * Deleted
+       * @description Number of queue items deleted
+       */
+      deleted: number;
+    };
     /** ClipField */
     ClipField: {
       /**
@@ -933,6 +1253,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * CLIP
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
@@ -989,6 +1315,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Collection Item
        * @description The item to collect (all inputs must be of the same type)
@@ -1064,6 +1396,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to color-correct
@@ -1139,6 +1477,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Color
        * @description The color value
@@ -1195,6 +1539,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Prompt
        * @description Prompt to be parsed by Compel to create a conditioning tensor
@@ -1234,6 +1584,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Collection
        * @description The collection of conditioning tensors
@@ -1295,6 +1651,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Conditioning
        * @description Conditioning tensor
@@ -1345,6 +1707,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -1453,6 +1821,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The control image
@@ -1744,6 +2118,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Vae
        * @description VAE
@@ -1778,6 +2158,27 @@ export type components = {
        */
       type: "create_denoise_mask";
     };
+    /**
+     * CursorPaginatedResults[SessionQueueItemDTO]
+     * @description Cursor-paginated results
+     */
+    CursorPaginatedResults_SessionQueueItemDTO_: {
+      /**
+       * Limit
+       * @description Limit of items to get
+       */
+      limit: number;
+      /**
+       * Has More
+       * @description Whether there are more items available
+       */
+      has_more: boolean;
+      /**
+       * Items
+       * @description Items
+       */
+      items: components["schemas"]["SessionQueueItemDTO"][];
+    };
     /**
      * OpenCV Inpaint
      * @description Simple inpaint using opencv.
@@ -1799,6 +2200,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to inpaint
@@ -1860,6 +2267,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Noise
        * @description Noise tensor
@@ -1992,6 +2405,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * A
        * @description The first number
@@ -2032,6 +2451,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default false
+       */
+      use_cache?: boolean;
       /**
        * Prompt
        * @description The prompt to parse with dynamicprompts
@@ -2056,6 +2481,13 @@ export type components = {
        */
       type: "dynamic_prompt";
     };
+    /** DynamicPromptsResponse */
+    DynamicPromptsResponse: {
+      /** Prompts */
+      prompts: string[];
+      /** Error */
+      error?: string;
+    };
     /**
      * Upscale (RealESRGAN)
      * @description Upscales an image using RealESRGAN.
@@ -2077,6 +2509,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The input image
@@ -2122,6 +2560,62 @@ export type components = {
        */
       field: string;
     };
+    /** EnqueueBatchResult */
+    EnqueueBatchResult: {
+      /**
+       * Queue Id
+       * @description The ID of the queue
+       */
+      queue_id: string;
+      /**
+       * Enqueued
+       * @description The total number of queue items enqueued
+       */
+      enqueued: number;
+      /**
+       * Requested
+       * @description The total number of queue items requested to be enqueued
+       */
+      requested: number;
+      /**
+       * Batch
+       * @description The batch that was enqueued
+       */
+      batch: components["schemas"]["Batch"];
+      /**
+       * Priority
+       * @description The priority of the enqueued batch
+       */
+      priority: number;
+    };
+    /** EnqueueGraphResult */
+    EnqueueGraphResult: {
+      /**
+       * Enqueued
+       * @description The total number of queue items enqueued
+       */
+      enqueued: number;
+      /**
+       * Requested
+       * @description The total number of queue items requested to be enqueued
+       */
+      requested: number;
+      /**
+       * Batch
+       * @description The batch that was enqueued
+       */
+      batch: components["schemas"]["Batch"];
+      /**
+       * Priority
+       * @description The priority of the enqueued batch
+       */
+      priority: number;
+      /**
+       * Queue Item
+       * @description The queue item that was enqueued
+       */
+      queue_item: components["schemas"]["SessionQueueItemDTO"];
+    };
     /**
      * Float Collection Primitive
      * @description A collection of float primitive values
@@ -2143,6 +2637,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Collection
        * @description The collection of float values
@@ -2193,6 +2693,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Value
        * @description The float value
@@ -2227,6 +2733,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Start
        * @description The first value of the range
@@ -2273,6 +2785,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Operation
        * @description The operation to perform
@@ -2337,6 +2855,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Value
        * @description The value to round
@@ -2375,7 +2899,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
       /**
        * Edges
@@ -2418,7 +2942,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["String2Output"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
+        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["String2Output"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
       };
       /**
        * Errors
@@ -2463,6 +2987,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Graph
        * @description The graph to run
@@ -2515,6 +3045,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -2602,6 +3138,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The IP-Adapter image prompt.
@@ -2708,6 +3250,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to blur
@@ -2766,6 +3314,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to get the channel from
@@ -2806,6 +3360,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to adjust
@@ -2857,6 +3417,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to adjust
@@ -2902,6 +3468,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Collection
        * @description The collection of image values
@@ -2952,6 +3524,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to convert
@@ -2992,6 +3570,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to crop
@@ -3135,6 +3719,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to adjust
@@ -3174,6 +3764,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to lerp
@@ -3219,6 +3815,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to load
@@ -3252,6 +3854,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to lerp
@@ -3313,6 +3921,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image1
        * @description The first image to multiply
@@ -3351,6 +3965,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Metadata
        * @description Optional core metadata to be written to image
@@ -3416,6 +4036,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Base Image
        * @description The base image
@@ -3477,6 +4103,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -3539,6 +4171,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to resize
@@ -3596,6 +4234,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to scale
@@ -3642,6 +4286,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to encode
@@ -3713,6 +4363,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to check
@@ -3765,6 +4421,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to infill
@@ -3809,6 +4471,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to infill
@@ -3855,6 +4523,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to infill
@@ -3899,6 +4573,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Collection
        * @description The collection of integer values
@@ -3949,6 +4629,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Value
        * @description The integer value
@@ -3983,6 +4669,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Operation
        * @description The operation to perform
@@ -4047,6 +4739,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Collection
        * @description The list of items to iterate over
@@ -4103,6 +4801,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to infill
@@ -4136,6 +4840,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Collection
        * @description The collection of latents tensors
@@ -4202,6 +4912,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Latents
        * @description The latents tensor
@@ -4262,6 +4978,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Tiled
        * @description Processing using overlapping tiles (reduce memory consumption)
@@ -4317,6 +5039,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -4380,6 +5108,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -4425,6 +5159,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -4553,6 +5293,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * LoRA
        * @description LoRA model to load
@@ -4639,6 +5385,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Model
        * @description Main model (UNet, VAE, CLIP) to load
@@ -4672,6 +5424,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Mask1
        * @description The first mask to combine
@@ -4710,6 +5468,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to apply the mask to
@@ -4763,6 +5527,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to create the mask from
@@ -4802,6 +5572,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -4853,6 +5629,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Generation Mode
        * @description The generation mode that output this image
@@ -5028,6 +5810,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -5073,6 +5861,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -5194,6 +5988,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * A
        * @description The first number
@@ -5213,6 +6013,24 @@ export type components = {
        */
       type: "mul";
     };
+    /** NodeFieldValue */
+    NodeFieldValue: {
+      /**
+       * Node Path
+       * @description The node into which this batch data item will be substituted.
+       */
+      node_path: string;
+      /**
+       * Field Name
+       * @description The field into which this batch data item will be substituted.
+       */
+      field_name: string;
+      /**
+       * Value
+       * @description The value to substitute into the node/field.
+       */
+      value: string | number;
+    };
     /**
      * Noise
      * @description Generates latent noise.
@@ -5234,6 +6052,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Seed
        * @description Seed for random number generation
@@ -5312,6 +6136,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -5357,6 +6187,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Latents
        * @description Denoised latents tensor
@@ -5435,6 +6271,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Prompt
        * @description Raw prompt text (no parsing)
@@ -5521,6 +6363,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Positive Conditioning
        * @description Positive conditioning tensor
@@ -5667,6 +6515,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Model
        * @description ONNX Main model (UNet, VAE, CLIP) to load
@@ -5700,6 +6554,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -5782,6 +6642,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -5839,6 +6705,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * File Path
        * @description Path to prompt text file
@@ -5873,6 +6745,17 @@ export type components = {
        */
       type: "prompt_from_file";
     };
+    /**
+     * PruneResult
+     * @description Result of pruning the session queue
+     */
+    PruneResult: {
+      /**
+       * Deleted
+       * @description Number of queue items deleted
+       */
+      deleted: number;
+    };
     /**
      * Random Integer
      * @description Outputs a single random integer.
@@ -5894,6 +6777,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default false
+       */
+      use_cache?: boolean;
       /**
        * Low
        * @description The inclusive low value
@@ -5934,6 +6823,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default false
+       */
+      use_cache?: boolean;
       /**
        * Low
        * @description The inclusive low value
@@ -5985,6 +6880,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Start
        * @description The start of the range
@@ -6031,6 +6932,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Start
        * @description The start of the range
@@ -6085,6 +6992,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Latents
        * @description Latents tensor
@@ -6151,6 +7064,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Value
        * @description The float value
@@ -6191,6 +7110,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Prompt
        * @description Prompt to be parsed by Compel to create a conditioning tensor
@@ -6271,6 +7196,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * LoRA
        * @description LoRA model to load
@@ -6352,6 +7283,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Model
        * @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load
@@ -6417,6 +7354,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Style
        * @description Prompt to be parsed by Compel to create a conditioning tensor
@@ -6482,6 +7425,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Model
        * @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load
@@ -6521,6 +7470,50 @@ export type components = {
        */
       type: "sdxl_refiner_model_loader_output";
     };
+    /**
+     * Save Image
+     * @description Saves an image. Unlike an image primitive, this invocation stores a copy of the image.
+     */
+    SaveImageInvocation: {
+      /**
+       * Id
+       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+       */
+      id: string;
+      /**
+       * Is Intermediate
+       * @description Whether or not this is an intermediate invocation.
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Workflow
+       * @description The workflow to save with the image
+       */
+      workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default false
+       */
+      use_cache?: boolean;
+      /**
+       * Image
+       * @description The image to load
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Metadata
+       * @description Optional core metadata to be written to image
+       */
+      metadata?: components["schemas"]["CoreMetadata"];
+      /**
+       * Type
+       * @default save_image
+       * @enum {string}
+       */
+      type: "save_image";
+    };
     /**
      * Scale Latents
      * @description Scales latents by a given factor.
@@ -6542,6 +7535,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Latents
        * @description Latents tensor
@@ -6593,6 +7592,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Scheduler
        * @description Scheduler to use during inference
@@ -6654,6 +7659,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * UNet
        * @description UNet (scheduler, LoRAs)
@@ -6726,6 +7737,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -6738,6 +7755,223 @@ export type components = {
        */
       type: "segment_anything_processor";
     };
+    /** SessionProcessorStatus */
+    SessionProcessorStatus: {
+      /**
+       * Is Started
+       * @description Whether the session processor is started
+       */
+      is_started: boolean;
+      /**
+       * Is Processing
+       * @description Whether a session is being processed
+       */
+      is_processing: boolean;
+    };
+    /**
+     * SessionQueueAndProcessorStatus
+     * @description The overall status of session queue and processor
+     */
+    SessionQueueAndProcessorStatus: {
+      queue: components["schemas"]["SessionQueueStatus"];
+      processor: components["schemas"]["SessionProcessorStatus"];
+    };
+    /**
+     * SessionQueueItem
+     * @description Session queue item without the full graph. Used for serialization.
+     */
+    SessionQueueItem: {
+      /**
+       * Item Id
+       * @description The identifier of the session queue item
+       */
+      item_id: number;
+      /**
+       * Status
+       * @description The status of this queue item
+       * @default pending
+       * @enum {string}
+       */
+      status: "pending" | "in_progress" | "completed" | "failed" | "canceled";
+      /**
+       * Priority
+       * @description The priority of this queue item
+       * @default 0
+       */
+      priority: number;
+      /**
+       * Batch Id
+       * @description The ID of the batch associated with this queue item
+       */
+      batch_id: string;
+      /**
+       * Session Id
+       * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed.
+       */
+      session_id: string;
+      /**
+       * Field Values
+       * @description The field values that were used for this queue item
+       */
+      field_values?: components["schemas"]["NodeFieldValue"][];
+      /**
+       * Queue Id
+       * @description The id of the queue with which this item is associated
+       */
+      queue_id: string;
+      /**
+       * Error
+       * @description The error message if this queue item errored
+       */
+      error?: string;
+      /**
+       * Created At
+       * @description When this queue item was created
+       */
+      created_at: string;
+      /**
+       * Updated At
+       * @description When this queue item was updated
+       */
+      updated_at: string;
+      /**
+       * Started At
+       * @description When this queue item was started
+       */
+      started_at?: string;
+      /**
+       * Completed At
+       * @description When this queue item was completed
+       */
+      completed_at?: string;
+      /**
+       * Session
+       * @description The fully-populated session to be executed
+       */
+      session: components["schemas"]["GraphExecutionState"];
+    };
+    /**
+     * SessionQueueItemDTO
+     * @description Session queue item without the full graph. Used for serialization.
+     */
+    SessionQueueItemDTO: {
+      /**
+       * Item Id
+       * @description The identifier of the session queue item
+       */
+      item_id: number;
+      /**
+       * Status
+       * @description The status of this queue item
+       * @default pending
+       * @enum {string}
+       */
+      status: "pending" | "in_progress" | "completed" | "failed" | "canceled";
+      /**
+       * Priority
+       * @description The priority of this queue item
+       * @default 0
+       */
+      priority: number;
+      /**
+       * Batch Id
+       * @description The ID of the batch associated with this queue item
+       */
+      batch_id: string;
+      /**
+       * Session Id
+       * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed.
+       */
+      session_id: string;
+      /**
+       * Field Values
+       * @description The field values that were used for this queue item
+       */
+      field_values?: components["schemas"]["NodeFieldValue"][];
+      /**
+       * Queue Id
+       * @description The id of the queue with which this item is associated
+       */
+      queue_id: string;
+      /**
+       * Error
+       * @description The error message if this queue item errored
+       */
+      error?: string;
+      /**
+       * Created At
+       * @description When this queue item was created
+       */
+      created_at: string;
+      /**
+       * Updated At
+       * @description When this queue item was updated
+       */
+      updated_at: string;
+      /**
+       * Started At
+       * @description When this queue item was started
+       */
+      started_at?: string;
+      /**
+       * Completed At
+       * @description When this queue item was completed
+       */
+      completed_at?: string;
+    };
+    /** SessionQueueStatus */
+    SessionQueueStatus: {
+      /**
+       * Queue Id
+       * @description The ID of the queue
+       */
+      queue_id: string;
+      /**
+       * Item Id
+       * @description The current queue item id
+       */
+      item_id?: number;
+      /**
+       * Batch Id
+       * @description The current queue item's batch id
+       */
+      batch_id?: string;
+      /**
+       * Session Id
+       * @description The current queue item's session id
+       */
+      session_id?: string;
+      /**
+       * Pending
+       * @description Number of queue items with status 'pending'
+       */
+      pending: number;
+      /**
+       * In Progress
+       * @description Number of queue items with status 'in_progress'
+       */
+      in_progress: number;
+      /**
+       * Completed
+       * @description Number of queue items with status 'complete'
+       */
+      completed: number;
+      /**
+       * Failed
+       * @description Number of queue items with status 'error'
+       */
+      failed: number;
+      /**
+       * Canceled
+       * @description Number of queue items with status 'canceled'
+       */
+      canceled: number;
+      /**
+       * Total
+       * @description Total number of queue items
+       */
+      total: number;
+    };
     /**
      * Show Image
      * @description Displays a provided image using the OS image viewer, and passes it forward in the pipeline.
@@ -6759,6 +7993,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to show
@@ -6942,6 +8182,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Easing
        * @description The easing function to use
@@ -7051,6 +8297,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Collection
        * @description The collection of string values
@@ -7101,6 +8353,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Value
        * @description The string value
@@ -7135,6 +8393,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * String Left
        * @description String Left
@@ -7175,6 +8439,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * String Left
        * @description String Left
@@ -7260,6 +8530,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * String
        * @description String to work on
@@ -7312,6 +8588,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * String
        * @description String to split
@@ -7352,6 +8634,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * String
        * @description String to split
@@ -7392,6 +8680,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * A
        * @description The first number
@@ -7450,6 +8744,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -7551,6 +8851,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * VAE
        * @description VAE model to load
@@ -7633,6 +8939,12 @@ export type components = {
        * @description The workflow to save with the image
        */
       workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
       /**
        * Image
        * @description The image to process
@@ -7731,11 +9043,17 @@ export type components = {
       ui_order?: number;
     };
     /**
-     * StableDiffusionXLModelFormat
+     * IPAdapterModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    IPAdapterModelFormat: "invokeai";
+    /**
+     * ControlNetModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
@@ -7743,11 +9061,11 @@ export type components = {
      */
     StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
-     * CLIPVisionModelFormat
+     * StableDiffusion2ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    CLIPVisionModelFormat: "diffusers";
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion1ModelFormat
      * @description An enumeration.
@@ -7755,23 +9073,17 @@ export type components = {
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
-     * IPAdapterModelFormat
+     * CLIPVisionModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    IPAdapterModelFormat: "invokeai";
+    CLIPVisionModelFormat: "diffusers";
     /**
-     * StableDiffusion2ModelFormat
+     * StableDiffusionXLModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -7788,6 +9100,7 @@ export type operations = {
 
   /**
    * List Sessions
+   * @deprecated
    * @description Gets a list of sessions, optionally searching
    */
   list_sessions: {
@@ -7818,9 +9131,16 @@ export type operations = {
   };
   /**
    * Create Session
+   * @deprecated
    * @description Creates a new session, optionally initializing it with an invocation graph
    */
   create_session: {
+    parameters: {
+      query?: {
+        /** @description The id of the queue to associate the session with */
+        queue_id?: string;
+      };
+    };
     requestBody?: {
       content: {
         "application/json": components["schemas"]["Graph"];
@@ -7847,6 +9167,7 @@ export type operations = {
   };
   /**
    * Get Session
+   * @deprecated
    * @description Gets a session
    */
   get_session: {
@@ -7877,6 +9198,7 @@ export type operations = {
   };
   /**
    * Add Node
+   * @deprecated
    * @description Adds a node to the graph
    */
   add_node: {
@@ -7888,7 +9210,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -7916,6 +9238,7 @@ export type operations = {
   };
   /**
    * Update Node
+   * @deprecated
    * @description Updates a node in the graph and removes all linked edges
    */
   update_node: {
@@ -7929,7 +9252,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -7957,6 +9280,7 @@ export type operations = {
   };
   /**
    * Delete Node
+   * @deprecated
    * @description Deletes a node in the graph and removes all linked edges
    */
   delete_node: {
@@ -7993,6 +9317,7 @@ export type operations = {
   };
   /**
    * Add Edge
+   * @deprecated
    * @description Adds an edge to the graph
    */
   add_edge: {
@@ -8032,6 +9357,7 @@ export type operations = {
   };
   /**
    * Delete Edge
+   * @deprecated
    * @description Deletes an edge from the graph
    */
   delete_edge: {
@@ -8074,11 +9400,14 @@ export type operations = {
   };
   /**
    * Invoke Session
+   * @deprecated
    * @description Invokes a session
    */
   invoke_session: {
     parameters: {
-      query?: {
+      query: {
+        /** @description The id of the queue to associate the session with */
+        queue_id: string;
         /** @description Whether or not to invoke all remaining invocations */
         all?: boolean;
       };
@@ -8116,6 +9445,7 @@ export type operations = {
   };
   /**
    * Cancel Session Invoke
+   * @deprecated
    * @description Invokes a session
    */
   cancel_session_invoke: {
@@ -8144,6 +9474,31 @@ export type operations = {
       };
     };
   };
+  /**
+   * Parse Dynamicprompts
+   * @description Creates a batch process
+   */
+  parse_dynamicprompts: {
+    requestBody: {
+      content: {
+        "application/json": components["schemas"]["Body_parse_dynamicprompts"];
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["DynamicPromptsResponse"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
   /**
    * List Models
    * @description Gets a list of models
@@ -9150,4 +10505,411 @@ export type operations = {
       };
     };
   };
+  /**
+   * Enqueue Graph
+   * @description Enqueues a graph for single execution.
+   */
+  enqueue_graph: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    requestBody: {
+      content: {
+        "application/json": components["schemas"]["Body_enqueue_graph"];
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": unknown;
+        };
+      };
+      /** @description Created */
+      201: {
+        content: {
+          "application/json": components["schemas"]["EnqueueGraphResult"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Enqueue Batch
+   * @description Processes a batch and enqueues the output graphs for execution.
+   */
+  enqueue_batch: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    requestBody: {
+      content: {
+        "application/json": components["schemas"]["Body_enqueue_batch"];
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": unknown;
+        };
+      };
+      /** @description Created */
+      201: {
+        content: {
+          "application/json": components["schemas"]["EnqueueBatchResult"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * List Queue Items
+   * @description Gets all queue items (without graphs)
+   */
+  list_queue_items: {
+    parameters: {
+      query?: {
+        /** @description The number of items to fetch */
+        limit?: number;
+        /** @description The status of items to fetch */
+        status?: "pending" | "in_progress" | "completed" | "failed" | "canceled";
+        /** @description The pagination cursor */
+        cursor?: number;
+        /** @description The pagination cursor priority */
+        priority?: number;
+      };
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["CursorPaginatedResults_SessionQueueItemDTO_"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Resume
+   * @description Resumes session processor
+   */
+  resume: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["SessionProcessorStatus"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Pause
+   * @description Pauses session processor
+   */
+  pause: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["SessionProcessorStatus"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Cancel By Batch Ids
+   * @description Immediately cancels all queue items from the given batch ids
+   */
+  cancel_by_batch_ids: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    requestBody: {
+      content: {
+        "application/json": components["schemas"]["Body_cancel_by_batch_ids"];
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["CancelByBatchIDsResult"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Clear
+   * @description Clears the queue entirely, immediately canceling the currently-executing session
+   */
+  clear: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["ClearResult"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Prune
+   * @description Prunes all completed or errored queue items
+   */
+  prune: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["PruneResult"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Get Current Queue Item
+   * @description Gets the currently execution queue item
+   */
+  get_current_queue_item: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["SessionQueueItem"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Get Next Queue Item
+   * @description Gets the next queue item, without executing it
+   */
+  get_next_queue_item: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["SessionQueueItem"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Get Queue Status
+   * @description Gets the status of the session queue
+   */
+  get_queue_status: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["SessionQueueAndProcessorStatus"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Get Batch Status
+   * @description Gets the status of the session queue
+   */
+  get_batch_status: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+        /** @description The batch to get the status of */
+        batch_id: string;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["BatchStatus"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Get Queue Item
+   * @description Gets a queue item
+   */
+  get_queue_item: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+        /** @description The queue item to get */
+        item_id: number;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["SessionQueueItem"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Cancel Queue Item
+   * @description Deletes a queue item
+   */
+  cancel_queue_item: {
+    parameters: {
+      path: {
+        /** @description The queue id to perform this operation on */
+        queue_id: string;
+        /** @description The queue item to cancel */
+        item_id: number;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["SessionQueueItem"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
 };
diff --git a/invokeai/frontend/web/src/services/api/thunks/session.ts b/invokeai/frontend/web/src/services/api/thunks/session.ts
index c3016be25f..2404329fac 100644
--- a/invokeai/frontend/web/src/services/api/thunks/session.ts
+++ b/invokeai/frontend/web/src/services/api/thunks/session.ts
@@ -1,4 +1,5 @@
 import { createAsyncThunk, isAnyOf } from '@reduxjs/toolkit';
+import { $queueId } from 'features/queue/store/nanoStores';
 import { isObject } from 'lodash-es';
 import { $client } from 'services/api/client';
 import { paths } from 'services/api/schema';
@@ -33,6 +34,7 @@ export const sessionCreated = createAsyncThunk<
   const { POST } = $client.get();
   const { data, error, response } = await POST('/api/v1/sessions/', {
     body: graph,
+    params: { query: { queue_id: $queueId.get() } },
   });
 
   if (error) {
@@ -76,7 +78,10 @@ export const sessionInvoked = createAsyncThunk<
   const { error, response } = await PUT(
     '/api/v1/sessions/{session_id}/invoke',
     {
-      params: { query: { all: true }, path: { session_id } },
+      params: {
+        query: { queue_id: $queueId.get(), all: true },
+        path: { session_id },
+      },
     }
   );
 
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index c432f70d93..669d357527 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -22,6 +22,12 @@ export type UpdateBoardArg =
     changes: paths['/api/v1/boards/{board_id}']['patch']['requestBody']['content']['application/json'];
   };
 
+export type BatchConfig =
+  paths['/api/v1/queue/{queue_id}/enqueue_batch']['post']['requestBody']['content']['application/json'];
+
+export type EnqueueBatchResult = components['schemas']['EnqueueBatchResult'];
+export type EnqueueGraphResult = components['schemas']['EnqueueGraphResult'];
+
 /**
  * This is an unsafe type; the object inside is not guaranteed to be valid.
  */
@@ -104,6 +110,9 @@ export type ImportModelConfig = s['Body_import_model'];
 export type Graph = s['Graph'];
 export type Edge = s['Edge'];
 export type GraphExecutionState = s['GraphExecutionState'];
+export type Batch = s['Batch'];
+export type SessionQueueItemDTO = s['SessionQueueItemDTO'];
+export type SessionQueueItem = s['SessionQueueItem'];
 
 // General nodes
 export type CollectInvocation = s['CollectInvocation'];
@@ -137,6 +146,7 @@ export type DivideInvocation = s['DivideInvocation'];
 export type ImageNSFWBlurInvocation = s['ImageNSFWBlurInvocation'];
 export type ImageWatermarkInvocation = s['ImageWatermarkInvocation'];
 export type SeamlessModeInvocation = s['SeamlessModeInvocation'];
+export type SaveImageInvocation = s['SaveImageInvocation'];
 
 // ControlNet Nodes
 export type ControlNetInvocation = s['ControlNetInvocation'];
diff --git a/invokeai/frontend/web/src/services/events/actions.ts b/invokeai/frontend/web/src/services/events/actions.ts
index 35ebb725cb..d9f838bf70 100644
--- a/invokeai/frontend/web/src/services/events/actions.ts
+++ b/invokeai/frontend/web/src/services/events/actions.ts
@@ -8,6 +8,7 @@ import {
   InvocationStartedEvent,
   ModelLoadCompletedEvent,
   ModelLoadStartedEvent,
+  QueueItemStatusChangedEvent,
   SessionRetrievalErrorEvent,
 } from 'services/events/types';
 
@@ -41,35 +42,35 @@ export const appSocketDisconnected = createAction(
 );
 
 /**
- * Socket.IO Subscribed
+ * Socket.IO Subscribed Session
  *
  * Do not use. Only for use in middleware.
  */
-export const socketSubscribed = createAction<{
+export const socketSubscribedSession = createAction<{
   sessionId: string;
-}>('socket/socketSubscribed');
+}>('socket/socketSubscribedSession');
 
 /**
- * App-level Socket.IO Subscribed
+ * App-level Socket.IO Subscribed Session
  */
-export const appSocketSubscribed = createAction<{
+export const appSocketSubscribedSession = createAction<{
   sessionId: string;
-}>('socket/appSocketSubscribed');
+}>('socket/appSocketSubscribedSession');
 
 /**
- * Socket.IO Unsubscribed
+ * Socket.IO Unsubscribed Session
  *
  * Do not use. Only for use in middleware.
  */
-export const socketUnsubscribed = createAction<{ sessionId: string }>(
-  'socket/socketUnsubscribed'
+export const socketUnsubscribedSession = createAction<{ sessionId: string }>(
+  'socket/socketUnsubscribedSession'
 );
 
 /**
- * App-level Socket.IO Unsubscribed
+ * App-level Socket.IO Unsubscribed Session
  */
-export const appSocketUnsubscribed = createAction<{ sessionId: string }>(
-  'socket/appSocketUnsubscribed'
+export const appSocketUnsubscribedSession = createAction<{ sessionId: string }>(
+  'socket/appSocketUnsubscribedSession'
 );
 
 /**
@@ -215,3 +216,19 @@ export const socketInvocationRetrievalError = createAction<{
 export const appSocketInvocationRetrievalError = createAction<{
   data: InvocationRetrievalErrorEvent;
 }>('socket/appSocketInvocationRetrievalError');
+
+/**
+ * Socket.IO Quueue Item Status Changed
+ *
+ * Do not use. Only for use in middleware.
+ */
+export const socketQueueItemStatusChanged = createAction<{
+  data: QueueItemStatusChangedEvent;
+}>('socket/socketQueueItemStatusChanged');
+
+/**
+ * App-level Quueue Item Status Changed
+ */
+export const appSocketQueueItemStatusChanged = createAction<{
+  data: QueueItemStatusChangedEvent;
+}>('socket/appSocketQueueItemStatusChanged');
diff --git a/invokeai/frontend/web/src/services/events/middleware.ts b/invokeai/frontend/web/src/services/events/middleware.ts
index 56992be672..ce35cf141e 100644
--- a/invokeai/frontend/web/src/services/events/middleware.ts
+++ b/invokeai/frontend/web/src/services/events/middleware.ts
@@ -1,14 +1,12 @@
 import { Middleware, MiddlewareAPI } from '@reduxjs/toolkit';
 import { AppThunkDispatch, RootState } from 'app/store/store';
 import { $authToken, $baseUrl } from 'services/api/client';
-import { sessionCreated } from 'services/api/thunks/session';
 import {
   ClientToServerEvents,
   ServerToClientEvents,
 } from 'services/events/types';
 import { setEventListeners } from 'services/events/util/setEventListeners';
 import { Socket, io } from 'socket.io-client';
-import { socketSubscribed, socketUnsubscribed } from './actions';
 
 export const socketMiddleware = () => {
   let areListenersSet = false;
@@ -48,8 +46,6 @@ export const socketMiddleware = () => {
     (storeApi: MiddlewareAPI<AppThunkDispatch, RootState>) =>
     (next) =>
     (action) => {
-      const { dispatch, getState } = storeApi;
-
       // Set listeners for `connect` and `disconnect` events once
       // Must happen in middleware to get access to `dispatch`
       if (!areListenersSet) {
@@ -60,31 +56,6 @@ export const socketMiddleware = () => {
         socket.connect();
       }
 
-      if (sessionCreated.fulfilled.match(action)) {
-        const sessionId = action.payload.id;
-        const oldSessionId = getState().system.sessionId;
-
-        if (oldSessionId) {
-          socket.emit('unsubscribe', {
-            session: oldSessionId,
-          });
-
-          dispatch(
-            socketUnsubscribed({
-              sessionId: oldSessionId,
-            })
-          );
-        }
-
-        socket.emit('subscribe', { session: sessionId });
-
-        dispatch(
-          socketSubscribed({
-            sessionId: sessionId,
-          })
-        );
-      }
-
       next(action);
     };
 
diff --git a/invokeai/frontend/web/src/services/events/types.ts b/invokeai/frontend/web/src/services/events/types.ts
index 37f5f24eac..8087b88077 100644
--- a/invokeai/frontend/web/src/services/events/types.ts
+++ b/invokeai/frontend/web/src/services/events/types.ts
@@ -1,3 +1,4 @@
+import { components } from 'services/api/schema';
 import { O } from 'ts-toolbelt';
 import {
   BaseModelType,
@@ -32,6 +33,8 @@ export type BaseNode = {
 };
 
 export type ModelLoadStartedEvent = {
+  queue_id: string;
+  queue_item_id: string;
   graph_execution_state_id: string;
   model_name: string;
   base_model: BaseModelType;
@@ -40,6 +43,8 @@ export type ModelLoadStartedEvent = {
 };
 
 export type ModelLoadCompletedEvent = {
+  queue_id: string;
+  queue_item_id: string;
   graph_execution_state_id: string;
   model_name: string;
   base_model: BaseModelType;
@@ -56,11 +61,14 @@ export type ModelLoadCompletedEvent = {
  * @example socket.on('generator_progress', (data: GeneratorProgressEvent) => { ... }
  */
 export type GeneratorProgressEvent = {
+  queue_id: string;
+  queue_item_id: string;
   graph_execution_state_id: string;
-  node: BaseNode;
+  node_id: string;
   source_node_id: string;
   progress_image?: ProgressImage;
   step: number;
+  order: number;
   total_steps: number;
 };
 
@@ -72,6 +80,8 @@ export type GeneratorProgressEvent = {
  * @example socket.on('invocation_complete', (data: InvocationCompleteEvent) => { ... }
  */
 export type InvocationCompleteEvent = {
+  queue_id: string;
+  queue_item_id: string;
   graph_execution_state_id: string;
   node: BaseNode;
   source_node_id: string;
@@ -84,6 +94,8 @@ export type InvocationCompleteEvent = {
  * @example socket.on('invocation_error', (data: InvocationErrorEvent) => { ... }
  */
 export type InvocationErrorEvent = {
+  queue_id: string;
+  queue_item_id: string;
   graph_execution_state_id: string;
   node: BaseNode;
   source_node_id: string;
@@ -97,6 +109,8 @@ export type InvocationErrorEvent = {
  * @example socket.on('invocation_started', (data: InvocationStartedEvent) => { ... }
  */
 export type InvocationStartedEvent = {
+  queue_id: string;
+  queue_item_id: string;
   graph_execution_state_id: string;
   node: BaseNode;
   source_node_id: string;
@@ -108,6 +122,8 @@ export type InvocationStartedEvent = {
  * @example socket.on('graph_execution_state_complete', (data: GraphExecutionStateCompleteEvent) => { ... }
  */
 export type GraphExecutionStateCompleteEvent = {
+  queue_id: string;
+  queue_item_id: string;
   graph_execution_state_id: string;
 };
 
@@ -117,6 +133,8 @@ export type GraphExecutionStateCompleteEvent = {
  * @example socket.on('session_retrieval_error', (data: SessionRetrievalErrorEvent) => { ... }
  */
 export type SessionRetrievalErrorEvent = {
+  queue_id: string;
+  queue_item_id: string;
   graph_execution_state_id: string;
   error_type: string;
   error: string;
@@ -128,18 +146,39 @@ export type SessionRetrievalErrorEvent = {
  * @example socket.on('invocation_retrieval_error', (data: InvocationRetrievalErrorEvent) => { ... }
  */
 export type InvocationRetrievalErrorEvent = {
+  queue_id: string;
+  queue_item_id: string;
   graph_execution_state_id: string;
   node_id: string;
   error_type: string;
   error: string;
 };
 
-export type ClientEmitSubscribe = {
-  session: string;
+/**
+ * A `queue_item_status_changed` socket.io event.
+ *
+ * @example socket.on('queue_item_status_changed', (data: QueueItemStatusChangedEvent) => { ... }
+ */
+export type QueueItemStatusChangedEvent = {
+  queue_id: string;
+  queue_item_id: string;
+  batch_id: string;
+  session_id: string;
+  graph_execution_state_id: string;
+  status: components['schemas']['SessionQueueItemDTO']['status'];
+  error: string | undefined;
+  created_at: string;
+  updated_at: string;
+  started_at: string | undefined;
+  completed_at: string | undefined;
 };
 
-export type ClientEmitUnsubscribe = {
-  session: string;
+export type ClientEmitSubscribeQueue = {
+  queue_id: string;
+};
+
+export type ClientEmitUnsubscribeQueue = {
+  queue_id: string;
 };
 
 export type ServerToClientEvents = {
@@ -154,11 +193,12 @@ export type ServerToClientEvents = {
   model_load_completed: (payload: ModelLoadCompletedEvent) => void;
   session_retrieval_error: (payload: SessionRetrievalErrorEvent) => void;
   invocation_retrieval_error: (payload: InvocationRetrievalErrorEvent) => void;
+  queue_item_status_changed: (payload: QueueItemStatusChangedEvent) => void;
 };
 
 export type ClientToServerEvents = {
   connect: () => void;
   disconnect: () => void;
-  subscribe: (payload: ClientEmitSubscribe) => void;
-  unsubscribe: (payload: ClientEmitUnsubscribe) => void;
+  subscribe_queue: (payload: ClientEmitSubscribeQueue) => void;
+  unsubscribe_queue: (payload: ClientEmitUnsubscribeQueue) => void;
 };
diff --git a/invokeai/frontend/web/src/services/events/util/setEventListeners.ts b/invokeai/frontend/web/src/services/events/util/setEventListeners.ts
index 9ebb7ffbff..0f4d21d2e1 100644
--- a/invokeai/frontend/web/src/services/events/util/setEventListeners.ts
+++ b/invokeai/frontend/web/src/services/events/util/setEventListeners.ts
@@ -1,6 +1,7 @@
 import { MiddlewareAPI } from '@reduxjs/toolkit';
 import { logger } from 'app/logging/logger';
 import { AppDispatch, RootState } from 'app/store/store';
+import { $queueId } from 'features/queue/store/nanoStores';
 import { addToast } from 'features/system/store/systemSlice';
 import { makeToast } from 'features/system/util/makeToast';
 import { Socket } from 'socket.io-client';
@@ -15,8 +16,8 @@ import {
   socketInvocationStarted,
   socketModelLoadCompleted,
   socketModelLoadStarted,
+  socketQueueItemStatusChanged,
   socketSessionRetrievalError,
-  socketSubscribed,
 } from '../actions';
 import { ClientToServerEvents, ServerToClientEvents } from '../types';
 
@@ -27,7 +28,7 @@ type SetEventListenersArg = {
 
 export const setEventListeners = (arg: SetEventListenersArg) => {
   const { socket, storeApi } = arg;
-  const { dispatch, getState } = storeApi;
+  const { dispatch } = storeApi;
 
   /**
    * Connect
@@ -37,17 +38,8 @@ export const setEventListeners = (arg: SetEventListenersArg) => {
     log.debug('Connected');
 
     dispatch(socketConnected());
-
-    const { sessionId } = getState().system;
-
-    if (sessionId) {
-      socket.emit('subscribe', { session: sessionId });
-      dispatch(
-        socketSubscribed({
-          sessionId,
-        })
-      );
-    }
+    const queue_id = $queueId.get();
+    socket.emit('subscribe_queue', { queue_id });
   });
 
   socket.on('connect_error', (error) => {
@@ -162,4 +154,8 @@ export const setEventListeners = (arg: SetEventListenersArg) => {
       })
     );
   });
+
+  socket.on('queue_item_status_changed', (data) => {
+    dispatch(socketQueueItemStatusChanged({ data }));
+  });
 };
diff --git a/invokeai/frontend/web/src/theme/colors/colors.ts b/invokeai/frontend/web/src/theme/colors/colors.ts
index 99260ee071..6f1f1c2cc7 100644
--- a/invokeai/frontend/web/src/theme/colors/colors.ts
+++ b/invokeai/frontend/web/src/theme/colors/colors.ts
@@ -3,15 +3,11 @@ import { generateColorPalette } from 'theme/util/generateColorPalette';
 
 const BASE = { H: 220, S: 16 };
 const ACCENT = { H: 250, S: 42 };
-// const ACCENT = { H: 250, S: 52 };
 const WORKING = { H: 47, S: 42 };
-// const WORKING = { H: 47, S: 50 };
+const GOLD = { H: 40, S: 70 };
 const WARNING = { H: 28, S: 42 };
-// const WARNING = { H: 28, S: 50 };
 const OK = { H: 113, S: 42 };
-// const OK = { H: 113, S: 50 };
 const ERROR = { H: 0, S: 42 };
-// const ERROR = { H: 0, S: 50 };
 
 export const InvokeAIColors: InvokeAIThemeColors = {
   base: generateColorPalette(BASE.H, BASE.S),
@@ -20,6 +16,8 @@ export const InvokeAIColors: InvokeAIThemeColors = {
   accentAlpha: generateColorPalette(ACCENT.H, ACCENT.S, true),
   working: generateColorPalette(WORKING.H, WORKING.S),
   workingAlpha: generateColorPalette(WORKING.H, WORKING.S, true),
+  gold: generateColorPalette(GOLD.H, GOLD.S),
+  goldAlpha: generateColorPalette(GOLD.H, GOLD.S, true),
   warning: generateColorPalette(WARNING.H, WARNING.S),
   warningAlpha: generateColorPalette(WARNING.H, WARNING.S, true),
   ok: generateColorPalette(OK.H, OK.S),
diff --git a/invokeai/frontend/web/src/theme/components/button.ts b/invokeai/frontend/web/src/theme/components/button.ts
index 056f3c145d..dd802a878b 100644
--- a/invokeai/frontend/web/src/theme/components/button.ts
+++ b/invokeai/frontend/web/src/theme/components/button.ts
@@ -10,7 +10,7 @@ const invokeAI = defineStyle((props) => {
       bg: mode('base.150', 'base.700')(props),
       color: mode('base.300', 'base.500')(props),
       svg: {
-        fill: mode('base.500', 'base.500')(props),
+        fill: mode('base.300', 'base.500')(props),
       },
       opacity: 1,
     };
@@ -45,25 +45,14 @@ const invokeAI = defineStyle((props) => {
   }
 
   const _disabled = {
-    bg: mode(`${c}.250`, `${c}.700`)(props),
-    color: mode(`${c}.50`, `${c}.500`)(props),
+    bg: mode(`${c}.400`, `${c}.700`)(props),
+    color: mode(`${c}.600`, `${c}.500`)(props),
     svg: {
-      fill: mode(`${c}.50`, `${c}.500`)(props),
-      filter: 'unset',
-    },
-    opacity: 1,
-    filter: mode(undefined, 'saturate(65%)')(props),
-  };
-
-  const data_progress = {
-    // bg: 'none',
-    color: mode(`${c}.50`, `${c}.500`)(props),
-    svg: {
-      fill: mode(`${c}.50`, `${c}.500`)(props),
+      fill: mode(`${c}.600`, `${c}.500`)(props),
       filter: 'unset',
     },
     opacity: 0.7,
-    filter: mode(undefined, 'saturate(65%)')(props),
+    filter: 'saturate(65%)',
   };
 
   return {
@@ -82,7 +71,6 @@ const invokeAI = defineStyle((props) => {
       },
       _disabled,
     },
-    '&[data-progress="true"]': { ...data_progress, _hover: data_progress },
   };
 });
 
diff --git a/invokeai/frontend/web/src/theme/components/table.ts b/invokeai/frontend/web/src/theme/components/table.ts
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/frontend/web/src/theme/themeTypes.d.ts b/invokeai/frontend/web/src/theme/themeTypes.d.ts
index c85ebd33ce..f2fd1ea85d 100644
--- a/invokeai/frontend/web/src/theme/themeTypes.d.ts
+++ b/invokeai/frontend/web/src/theme/themeTypes.d.ts
@@ -3,6 +3,8 @@ export type InvokeAIThemeColors = {
   baseAlpha: Partial<InvokeAIPaletteSteps>;
   accent: Partial<InvokeAIPaletteSteps>;
   accentAlpha: Partial<InvokeAIPaletteSteps>;
+  gold: Partial<InvokeAIPaletteSteps>;
+  goldAlpha: Partial<InvokeAIPaletteSteps>;
   working: Partial<InvokeAIPaletteSteps>;
   workingAlpha: Partial<InvokeAIPaletteSteps>;
   warning: Partial<InvokeAIPaletteSteps>;
diff --git a/tests/nodes/test_graph_execution_state.py b/tests/nodes/test_graph_execution_state.py
index 603e0369be..41ca93551a 100644
--- a/tests/nodes/test_graph_execution_state.py
+++ b/tests/nodes/test_graph_execution_state.py
@@ -1,5 +1,10 @@
+import logging
+import threading
+
 import pytest
 
+from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
+
 # This import must happen before other invoke imports or test in other files(!!) break
 from .test_nodes import (  # isort: split
     PromptCollectionTestInvocation,
@@ -7,6 +12,7 @@ from .test_nodes import (  # isort: split
     TestEventService,
     TextToImageTestInvocation,
 )
+import sqlite3
 
 from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
 from invokeai.app.invocations.collections import RangeInvocation
@@ -16,6 +22,7 @@ from invokeai.app.services.invocation_queue import MemoryInvocationQueue
 from invokeai.app.services.invocation_services import InvocationServices
 from invokeai.app.services.invocation_stats import InvocationStatsService
 from invokeai.app.services.processor import DefaultInvocationProcessor
+from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID
 from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
 
 from .test_invoker import create_edge
@@ -35,24 +42,29 @@ def simple_graph():
 # the test invocations.
 @pytest.fixture
 def mock_services() -> InvocationServices:
+    lock = threading.Lock()
     # NOTE: none of these are actually called by the test invocations
+    db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False)
     graph_execution_manager = SqliteItemStorage[GraphExecutionState](
-        filename=sqlite_memory, table_name="graph_executions"
+        conn=db_conn, table_name="graph_executions", lock=lock
     )
     return InvocationServices(
         model_manager=None,  # type: ignore
         events=TestEventService(),
-        logger=None,  # type: ignore
+        logger=logging,  # type: ignore
         images=None,  # type: ignore
         latents=None,  # type: ignore
         boards=None,  # type: ignore
         board_images=None,  # type: ignore
         queue=MemoryInvocationQueue(),
-        graph_library=SqliteItemStorage[LibraryGraph](filename=sqlite_memory, table_name="graphs"),
+        graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs", lock=lock),
         graph_execution_manager=graph_execution_manager,
         performance_statistics=InvocationStatsService(graph_execution_manager),
         processor=DefaultInvocationProcessor(),
         configuration=None,  # type: ignore
+        session_queue=None,  # type: ignore
+        session_processor=None,  # type: ignore
+        invocation_cache=MemoryInvocationCache(),  # type: ignore
     )
 
 
@@ -62,7 +74,9 @@ def invoke_next(g: GraphExecutionState, services: InvocationServices) -> tuple[B
         return (None, None)
 
     print(f"invoking {n.id}: {type(n)}")
-    o = n.invoke(InvocationContext(services, "1"))
+    o = n.invoke(
+        InvocationContext(queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, services=services, graph_execution_state_id="1")
+    )
     g.complete(n.id, o)
 
     return (n, o)
diff --git a/tests/nodes/test_invoker.py b/tests/nodes/test_invoker.py
index aa0e29598c..7dc5cf57b3 100644
--- a/tests/nodes/test_invoker.py
+++ b/tests/nodes/test_invoker.py
@@ -1,14 +1,11 @@
+import logging
+import sqlite3
+import threading
+
 import pytest
 
-from invokeai.app.services.graph import Graph, GraphExecutionState, LibraryGraph
-from invokeai.app.services.invocation_queue import MemoryInvocationQueue
-from invokeai.app.services.invocation_services import InvocationServices
-from invokeai.app.services.invocation_stats import InvocationStatsService
-from invokeai.app.services.invoker import Invoker
-from invokeai.app.services.processor import DefaultInvocationProcessor
-from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
-
-from .test_nodes import (
+# This import must happen before other invoke imports or test in other files(!!) break
+from .test_nodes import (  # isort: split
     ErrorInvocation,
     PromptTestInvocation,
     TestEventService,
@@ -17,6 +14,17 @@ from .test_nodes import (
     wait_until,
 )
 
+from invokeai.app.services.config import InvokeAIAppConfig
+from invokeai.app.services.graph import Graph, GraphExecutionState, GraphInvocation, LibraryGraph
+from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
+from invokeai.app.services.invocation_queue import MemoryInvocationQueue
+from invokeai.app.services.invocation_services import InvocationServices
+from invokeai.app.services.invocation_stats import InvocationStatsService
+from invokeai.app.services.invoker import Invoker
+from invokeai.app.services.processor import DefaultInvocationProcessor
+from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID
+from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
+
 
 @pytest.fixture
 def simple_graph():
@@ -27,29 +35,45 @@ def simple_graph():
     return g
 
 
+@pytest.fixture
+def graph_with_subgraph():
+    sub_g = Graph()
+    sub_g.add_node(PromptTestInvocation(id="1", prompt="Banana sushi"))
+    sub_g.add_node(TextToImageTestInvocation(id="2"))
+    sub_g.add_edge(create_edge("1", "prompt", "2", "prompt"))
+    g = Graph()
+    g.add_node(GraphInvocation(id="1", graph=sub_g))
+    return g
+
+
 # This must be defined here to avoid issues with the dynamic creation of the union of all invocation types
 # Defining it in a separate module will cause the union to be incomplete, and pydantic will not validate
 # the test invocations.
 @pytest.fixture
 def mock_services() -> InvocationServices:
+    lock = threading.Lock()
     # NOTE: none of these are actually called by the test invocations
+    db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False)
     graph_execution_manager = SqliteItemStorage[GraphExecutionState](
-        filename=sqlite_memory, table_name="graph_executions"
+        conn=db_conn, table_name="graph_executions", lock=lock
     )
     return InvocationServices(
         model_manager=None,  # type: ignore
         events=TestEventService(),
-        logger=None,  # type: ignore
+        logger=logging,  # type: ignore
         images=None,  # type: ignore
         latents=None,  # type: ignore
         boards=None,  # type: ignore
         board_images=None,  # type: ignore
         queue=MemoryInvocationQueue(),
-        graph_library=SqliteItemStorage[LibraryGraph](filename=sqlite_memory, table_name="graphs"),
+        graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs", lock=lock),
         graph_execution_manager=graph_execution_manager,
         processor=DefaultInvocationProcessor(),
         performance_statistics=InvocationStatsService(graph_execution_manager),
-        configuration=None,  # type: ignore
+        configuration=InvokeAIAppConfig(),
+        session_queue=None,  # type: ignore
+        session_processor=None,  # type: ignore
+        invocation_cache=MemoryInvocationCache(),
     )
 
 
@@ -78,7 +102,7 @@ def test_can_create_graph_state_from_graph(mock_invoker: Invoker, simple_graph):
 # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor")
 def test_can_invoke(mock_invoker: Invoker, simple_graph):
     g = mock_invoker.create_execution_state(graph=simple_graph)
-    invocation_id = mock_invoker.invoke(g)
+    invocation_id = mock_invoker.invoke(queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g)
     assert invocation_id is not None
 
     def has_executed_any(g: GraphExecutionState):
@@ -95,7 +119,9 @@ def test_can_invoke(mock_invoker: Invoker, simple_graph):
 # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor")
 def test_can_invoke_all(mock_invoker: Invoker, simple_graph):
     g = mock_invoker.create_execution_state(graph=simple_graph)
-    invocation_id = mock_invoker.invoke(g, invoke_all=True)
+    invocation_id = mock_invoker.invoke(
+        queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, invoke_all=True
+    )
     assert invocation_id is not None
 
     def has_executed_all(g: GraphExecutionState):
@@ -114,7 +140,7 @@ def test_handles_errors(mock_invoker: Invoker):
     g = mock_invoker.create_execution_state()
     g.graph.add_node(ErrorInvocation(id="1"))
 
-    mock_invoker.invoke(g, invoke_all=True)
+    mock_invoker.invoke(queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, invoke_all=True)
 
     def has_executed_all(g: GraphExecutionState):
         g = mock_invoker.services.graph_execution_manager.get(g.id)
diff --git a/tests/nodes/test_nodes.py b/tests/nodes/test_nodes.py
index 1a07b59828..96a5040a38 100644
--- a/tests/nodes/test_nodes.py
+++ b/tests/nodes/test_nodes.py
@@ -53,6 +53,7 @@ class ImageTestInvocationOutput(BaseInvocationOutput):
 @invocation("test_text_to_image")
 class TextToImageTestInvocation(BaseInvocation):
     prompt: str = Field(default="")
+    prompt2: str = Field(default="")
 
     def invoke(self, context: InvocationContext) -> ImageTestInvocationOutput:
         return ImageTestInvocationOutput(image=ImageField(image_name=self.id))
diff --git a/tests/nodes/test_session_queue.py b/tests/nodes/test_session_queue.py
new file mode 100644
index 0000000000..f28ec1ac54
--- /dev/null
+++ b/tests/nodes/test_session_queue.py
@@ -0,0 +1,255 @@
+import pytest
+from pydantic import ValidationError, parse_raw_as
+
+from invokeai.app.services.graph import Graph, GraphExecutionState, GraphInvocation
+from invokeai.app.services.session_queue.session_queue_common import (
+    Batch,
+    BatchDataCollection,
+    BatchDatum,
+    NodeFieldValue,
+    calc_session_count,
+    create_session_nfv_tuples,
+    populate_graph,
+    prepare_values_to_insert,
+)
+from tests.nodes.test_nodes import PromptTestInvocation
+
+
+@pytest.fixture
+def batch_data_collection() -> BatchDataCollection:
+    return [
+        [
+            # zipped
+            BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi", "Grape sushi"]),
+            BatchDatum(node_path="2", field_name="prompt", items=["Strawberry sushi", "Blueberry sushi"]),
+        ],
+        [
+            BatchDatum(node_path="3", field_name="prompt", items=["Orange sushi", "Apple sushi"]),
+        ],
+    ]
+
+
+@pytest.fixture
+def batch_graph() -> Graph:
+    g = Graph()
+    g.add_node(PromptTestInvocation(id="1", prompt="Chevy"))
+    g.add_node(PromptTestInvocation(id="2", prompt="Toyota"))
+    g.add_node(PromptTestInvocation(id="3", prompt="Subaru"))
+    g.add_node(PromptTestInvocation(id="4", prompt="Nissan"))
+    return g
+
+
+def test_populate_graph_with_subgraph():
+    g1 = Graph()
+    g1.add_node(PromptTestInvocation(id="1", prompt="Banana sushi"))
+    g1.add_node(PromptTestInvocation(id="2", prompt="Banana sushi"))
+    n1 = PromptTestInvocation(id="1", prompt="Banana snake")
+    subgraph = Graph()
+    subgraph.add_node(n1)
+    g1.add_node(GraphInvocation(id="3", graph=subgraph))
+
+    nfvs = [
+        NodeFieldValue(node_path="1", field_name="prompt", value="Strawberry sushi"),
+        NodeFieldValue(node_path="2", field_name="prompt", value="Strawberry sunday"),
+        NodeFieldValue(node_path="3.1", field_name="prompt", value="Strawberry snake"),
+    ]
+
+    g2 = populate_graph(g1, nfvs)
+
+    # do not mutate g1
+    assert g1 is not g2
+    assert g2.get_node("1").prompt == "Strawberry sushi"
+    assert g2.get_node("2").prompt == "Strawberry sunday"
+    assert g2.get_node("3.1").prompt == "Strawberry snake"
+
+
+def test_create_sessions_from_batch_with_runs(batch_data_collection, batch_graph):
+    b = Batch(graph=batch_graph, data=batch_data_collection, runs=2)
+    t = list(create_session_nfv_tuples(batch=b, maximum=1000))
+    # 2 list[BatchDatum] * length 2 * 2 runs = 8
+    assert len(t) == 8
+
+    assert t[0][0].graph.get_node("1").prompt == "Banana sushi"
+    assert t[0][0].graph.get_node("2").prompt == "Strawberry sushi"
+    assert t[0][0].graph.get_node("3").prompt == "Orange sushi"
+    assert t[0][0].graph.get_node("4").prompt == "Nissan"
+
+    assert t[1][0].graph.get_node("1").prompt == "Banana sushi"
+    assert t[1][0].graph.get_node("2").prompt == "Strawberry sushi"
+    assert t[1][0].graph.get_node("3").prompt == "Apple sushi"
+    assert t[1][0].graph.get_node("4").prompt == "Nissan"
+
+    assert t[2][0].graph.get_node("1").prompt == "Grape sushi"
+    assert t[2][0].graph.get_node("2").prompt == "Blueberry sushi"
+    assert t[2][0].graph.get_node("3").prompt == "Orange sushi"
+    assert t[2][0].graph.get_node("4").prompt == "Nissan"
+
+    assert t[3][0].graph.get_node("1").prompt == "Grape sushi"
+    assert t[3][0].graph.get_node("2").prompt == "Blueberry sushi"
+    assert t[3][0].graph.get_node("3").prompt == "Apple sushi"
+    assert t[3][0].graph.get_node("4").prompt == "Nissan"
+
+    # repeat for second run
+    assert t[4][0].graph.get_node("1").prompt == "Banana sushi"
+    assert t[4][0].graph.get_node("2").prompt == "Strawberry sushi"
+    assert t[4][0].graph.get_node("3").prompt == "Orange sushi"
+    assert t[4][0].graph.get_node("4").prompt == "Nissan"
+
+    assert t[5][0].graph.get_node("1").prompt == "Banana sushi"
+    assert t[5][0].graph.get_node("2").prompt == "Strawberry sushi"
+    assert t[5][0].graph.get_node("3").prompt == "Apple sushi"
+    assert t[5][0].graph.get_node("4").prompt == "Nissan"
+
+    assert t[6][0].graph.get_node("1").prompt == "Grape sushi"
+    assert t[6][0].graph.get_node("2").prompt == "Blueberry sushi"
+    assert t[6][0].graph.get_node("3").prompt == "Orange sushi"
+    assert t[6][0].graph.get_node("4").prompt == "Nissan"
+
+    assert t[7][0].graph.get_node("1").prompt == "Grape sushi"
+    assert t[7][0].graph.get_node("2").prompt == "Blueberry sushi"
+    assert t[7][0].graph.get_node("3").prompt == "Apple sushi"
+    assert t[7][0].graph.get_node("4").prompt == "Nissan"
+
+
+def test_create_sessions_from_batch_without_runs(batch_data_collection, batch_graph):
+    b = Batch(graph=batch_graph, data=batch_data_collection)
+    t = list(create_session_nfv_tuples(batch=b, maximum=1000))
+    # 2 list[BatchDatum] * length 2 * 1 runs = 8
+    assert len(t) == 4
+
+
+def test_create_sessions_from_batch_without_batch(batch_graph):
+    b = Batch(graph=batch_graph, runs=2)
+    t = list(create_session_nfv_tuples(batch=b, maximum=1000))
+    # 2 runs
+    assert len(t) == 2
+
+
+def test_create_sessions_from_batch_without_batch_or_runs(batch_graph):
+    b = Batch(graph=batch_graph)
+    t = list(create_session_nfv_tuples(batch=b, maximum=1000))
+    # 1 run
+    assert len(t) == 1
+
+
+def test_create_sessions_from_batch_with_runs_and_max(batch_data_collection, batch_graph):
+    b = Batch(graph=batch_graph, data=batch_data_collection, runs=2)
+    t = list(create_session_nfv_tuples(batch=b, maximum=5))
+    # 2 list[BatchDatum] * length 2 * 2 runs = 8, but max is 5
+    assert len(t) == 5
+
+
+def test_calc_session_count(batch_data_collection, batch_graph):
+    b = Batch(graph=batch_graph, data=batch_data_collection, runs=2)
+    # 2 list[BatchDatum] * length 2 * 2 runs = 8
+    assert calc_session_count(batch=b) == 8
+
+
+def test_prepare_values_to_insert(batch_data_collection, batch_graph):
+    b = Batch(graph=batch_graph, data=batch_data_collection, runs=2)
+    values = prepare_values_to_insert(queue_id="default", batch=b, priority=0, max_new_queue_items=1000)
+    assert len(values) == 8
+
+    # graph should be serialized
+    ges = parse_raw_as(GraphExecutionState, values[0].session)
+
+    # graph values should be populated
+    assert ges.graph.get_node("1").prompt == "Banana sushi"
+    assert ges.graph.get_node("2").prompt == "Strawberry sushi"
+    assert ges.graph.get_node("3").prompt == "Orange sushi"
+    assert ges.graph.get_node("4").prompt == "Nissan"
+
+    # session ids should match deserialized graph
+    assert [v.session_id for v in values] == [parse_raw_as(GraphExecutionState, v.session).id for v in values]
+
+    # should unique session ids
+    sids = [v.session_id for v in values]
+    assert len(sids) == len(set(sids))
+
+    # should have 3 node field values
+    assert type(values[0].field_values) is str
+    assert len(parse_raw_as(list[NodeFieldValue], values[0].field_values)) == 3
+
+    # should have batch id and priority
+    assert all(v.batch_id == b.batch_id for v in values)
+    assert all(v.priority == 0 for v in values)
+
+
+def test_prepare_values_to_insert_with_priority(batch_data_collection, batch_graph):
+    b = Batch(graph=batch_graph, data=batch_data_collection, runs=2)
+    values = prepare_values_to_insert(queue_id="default", batch=b, priority=1, max_new_queue_items=1000)
+    assert all(v.priority == 1 for v in values)
+
+
+def test_prepare_values_to_insert_with_max(batch_data_collection, batch_graph):
+    b = Batch(graph=batch_graph, data=batch_data_collection, runs=2)
+    values = prepare_values_to_insert(queue_id="default", batch=b, priority=1, max_new_queue_items=5)
+    assert len(values) == 5
+
+
+def test_cannot_create_bad_batch_items_length(batch_graph):
+    with pytest.raises(ValidationError, match="Zipped batch items must all have the same length"):
+        Batch(
+            graph=batch_graph,
+            data=[
+                [
+                    BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi"]),  # 1 item
+                    BatchDatum(node_path="2", field_name="prompt", items=["Toyota", "Nissan"]),  # 2 items
+                ],
+            ],
+        )
+
+
+def test_cannot_create_bad_batch_items_type(batch_graph):
+    with pytest.raises(ValidationError, match="All items in a batch must have the same type"):
+        Batch(
+            graph=batch_graph,
+            data=[
+                [
+                    BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi", 123]),
+                ]
+            ],
+        )
+
+
+def test_cannot_create_bad_batch_unique_ids(batch_graph):
+    with pytest.raises(ValidationError, match="Each batch data must have unique node_id and field_name"):
+        Batch(
+            graph=batch_graph,
+            data=[
+                [
+                    BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi"]),
+                ],
+                [
+                    BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi"]),
+                ],
+            ],
+        )
+
+
+def test_cannot_create_bad_batch_nodes_exist(
+    batch_graph,
+):
+    with pytest.raises(ValidationError, match=r"Node .* not found in graph"):
+        Batch(
+            graph=batch_graph,
+            data=[
+                [
+                    BatchDatum(node_path="batman", field_name="prompt", items=["Banana sushi"]),
+                ],
+            ],
+        )
+
+
+def test_cannot_create_bad_batch_fields_exist(
+    batch_graph,
+):
+    with pytest.raises(ValidationError, match=r"Field .* not found in node"):
+        Batch(
+            graph=batch_graph,
+            data=[
+                [
+                    BatchDatum(node_path="1", field_name="batman", items=["Banana sushi"]),
+                ],
+            ],
+        )
diff --git a/tests/nodes/test_sqlite.py b/tests/nodes/test_sqlite.py
index 91e4bd0c58..002161e917 100644
--- a/tests/nodes/test_sqlite.py
+++ b/tests/nodes/test_sqlite.py
@@ -1,3 +1,7 @@
+import sqlite3
+import threading
+
+import pytest
 from pydantic import BaseModel, Field
 
 from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
@@ -8,14 +12,18 @@ class TestModel(BaseModel):
     name: str = Field(description="Name")
 
 
-def test_sqlite_service_can_create_and_get():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+@pytest.fixture
+def db() -> SqliteItemStorage[TestModel]:
+    db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False)
+    return SqliteItemStorage[TestModel](db_conn, table_name="test", id_field="id", lock=threading.Lock())
+
+
+def test_sqlite_service_can_create_and_get(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     assert db.get("1") == TestModel(id="1", name="Test")
 
 
-def test_sqlite_service_can_list():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_list(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))
@@ -31,15 +39,13 @@ def test_sqlite_service_can_list():
     ]
 
 
-def test_sqlite_service_can_delete():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_delete(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.delete("1")
     assert db.get("1") is None
 
 
-def test_sqlite_service_calls_set_callback():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_calls_set_callback(db: SqliteItemStorage[TestModel]):
     called = False
 
     def on_changed(item: TestModel):
@@ -51,8 +57,7 @@ def test_sqlite_service_calls_set_callback():
     assert called
 
 
-def test_sqlite_service_calls_delete_callback():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_calls_delete_callback(db: SqliteItemStorage[TestModel]):
     called = False
 
     def on_deleted(item_id: str):
@@ -65,8 +70,7 @@ def test_sqlite_service_calls_delete_callback():
     assert called
 
 
-def test_sqlite_service_can_list_with_pagination():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_list_with_pagination(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))
@@ -78,8 +82,7 @@ def test_sqlite_service_can_list_with_pagination():
     assert results.items == [TestModel(id="1", name="Test"), TestModel(id="2", name="Test")]
 
 
-def test_sqlite_service_can_list_with_pagination_and_offset():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_list_with_pagination_and_offset(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))
@@ -91,8 +94,7 @@ def test_sqlite_service_can_list_with_pagination_and_offset():
     assert results.items == [TestModel(id="3", name="Test")]
 
 
-def test_sqlite_service_can_search():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_search(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))
@@ -108,8 +110,7 @@ def test_sqlite_service_can_search():
     ]
 
 
-def test_sqlite_service_can_search_with_pagination():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_search_with_pagination(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))
@@ -121,8 +122,7 @@ def test_sqlite_service_can_search_with_pagination():
     assert results.items == [TestModel(id="1", name="Test"), TestModel(id="2", name="Test")]
 
 
-def test_sqlite_service_can_search_with_pagination_and_offset():
-    db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id")
+def test_sqlite_service_can_search_with_pagination_and_offset(db: SqliteItemStorage[TestModel]):
     db.set(TestModel(id="1", name="Test"))
     db.set(TestModel(id="2", name="Test"))
     db.set(TestModel(id="3", name="Test"))

From 0a09f84b07bf193995d1efd1f65c884402605d87 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 20 Sep 2023 18:26:47 +1000
Subject: [PATCH 196/265] feat(backend): selective invalidation for invocation
 cache

This change enhances the invocation cache logic to delete cache entries when the resources to which they refer are deleted.

For example, a cached output may refer to "some_image.png". If that image is deleted, and this particular cache entry is later retrieved by a node, that node's successors will receive references to the now non-existent "some_image.png". When they attempt to use that image, they will fail.

To resolve this, we need to invalidate the cache when the resources to which it refers are deleted. Two options:
- Invalidate the whole cache on every image/latents/etc delete
- Selectively invalidate cache entries when their resources are deleted

Node outputs can be any shape, with any number of resource references in arbitrarily nested pydantic models. Traversing that structure to identify resources is not trivial.

But invalidating the whole cache is a bit heavy-handed. It would be nice to be more selective.

Simple solution:
- Invocation outputs' resource references are always string identifiers - like the image's or latents' name
- Invocation outputs can be stringified, which includes said identifiers
- When the invocation is cached, we store the stringified output alongside the "live" output classes
- When a resource is deleted, pass its identifier to the cache service, which can then invalidate any cache entries that refer to it

The images and latents storage services have been outfitted with `on_deleted()` callbacks, and the cache service registers itself to handle those events. This logic was copied from `ItemStorageABC`.

`on_changed()` callback are also added to the images and latents services, though these are not currently used. Just following the existing pattern.
---
 invokeai/app/services/images.py               | 35 +++++++++++-
 .../invocation_cache/invocation_cache_base.py | 31 ++++++++---
 .../invocation_cache_memory.py                | 53 +++++++++++++++----
 invokeai/app/services/latent_storage.py       | 28 +++++++++-
 4 files changed, 127 insertions(+), 20 deletions(-)

diff --git a/invokeai/app/services/images.py b/invokeai/app/services/images.py
index 2b0a3d62a5..08d5093a70 100644
--- a/invokeai/app/services/images.py
+++ b/invokeai/app/services/images.py
@@ -1,6 +1,6 @@
 from abc import ABC, abstractmethod
 from logging import Logger
-from typing import TYPE_CHECKING, Optional
+from typing import TYPE_CHECKING, Callable, Optional
 
 from PIL.Image import Image as PILImageType
 
@@ -38,6 +38,29 @@ if TYPE_CHECKING:
 class ImageServiceABC(ABC):
     """High-level service for image management."""
 
+    _on_changed_callbacks: list[Callable[[ImageDTO], None]]
+    _on_deleted_callbacks: list[Callable[[str], None]]
+
+    def __init__(self) -> None:
+        self._on_changed_callbacks = list()
+        self._on_deleted_callbacks = list()
+
+    def on_changed(self, on_changed: Callable[[ImageDTO], None]) -> None:
+        """Register a callback for when an image is changed"""
+        self._on_changed_callbacks.append(on_changed)
+
+    def on_deleted(self, on_deleted: Callable[[str], None]) -> None:
+        """Register a callback for when an image is deleted"""
+        self._on_deleted_callbacks.append(on_deleted)
+
+    def _on_changed(self, item: ImageDTO) -> None:
+        for callback in self._on_changed_callbacks:
+            callback(item)
+
+    def _on_deleted(self, item_id: str) -> None:
+        for callback in self._on_deleted_callbacks:
+            callback(item_id)
+
     @abstractmethod
     def create(
         self,
@@ -161,6 +184,7 @@ class ImageService(ImageServiceABC):
     _services: ImageServiceDependencies
 
     def __init__(self, services: ImageServiceDependencies):
+        super().__init__()
         self._services = services
 
     def create(
@@ -217,6 +241,7 @@ class ImageService(ImageServiceABC):
             self._services.image_files.save(image_name=image_name, image=image, metadata=metadata, workflow=workflow)
             image_dto = self.get_dto(image_name)
 
+            self._on_changed(image_dto)
             return image_dto
         except ImageRecordSaveException:
             self._services.logger.error("Failed to save image record")
@@ -235,7 +260,9 @@ class ImageService(ImageServiceABC):
     ) -> ImageDTO:
         try:
             self._services.image_records.update(image_name, changes)
-            return self.get_dto(image_name)
+            image_dto = self.get_dto(image_name)
+            self._on_changed(image_dto)
+            return image_dto
         except ImageRecordSaveException:
             self._services.logger.error("Failed to update image record")
             raise
@@ -374,6 +401,7 @@ class ImageService(ImageServiceABC):
         try:
             self._services.image_files.delete(image_name)
             self._services.image_records.delete(image_name)
+            self._on_deleted(image_name)
         except ImageRecordDeleteException:
             self._services.logger.error("Failed to delete image record")
             raise
@@ -390,6 +418,8 @@ class ImageService(ImageServiceABC):
             for image_name in image_names:
                 self._services.image_files.delete(image_name)
             self._services.image_records.delete_many(image_names)
+            for image_name in image_names:
+                self._on_deleted(image_name)
         except ImageRecordDeleteException:
             self._services.logger.error("Failed to delete image records")
             raise
@@ -406,6 +436,7 @@ class ImageService(ImageServiceABC):
             count = len(image_names)
             for image_name in image_names:
                 self._services.image_files.delete(image_name)
+                self._on_deleted(image_name)
             return count
         except ImageRecordDeleteException:
             self._services.logger.error("Failed to delete image records")
diff --git a/invokeai/app/services/invocation_cache/invocation_cache_base.py b/invokeai/app/services/invocation_cache/invocation_cache_base.py
index e60284378e..c35a31f851 100644
--- a/invokeai/app/services/invocation_cache/invocation_cache_base.py
+++ b/invokeai/app/services/invocation_cache/invocation_cache_base.py
@@ -5,25 +5,42 @@ from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocati
 
 
 class InvocationCacheBase(ABC):
-    """Base class for invocation caches."""
+    """
+    Base class for invocation caches.
+    When an invocation is executed, it is hashed and its output stored in the cache.
+    When new invocations are executed, if they are flagged with `use_cache`, they
+    will attempt to pull their value from the cache before executing.
+
+    Implementations should register for the `on_deleted` event of the `images` and `latents`
+    services, and delete any cached outputs that reference the deleted image or latent.
+
+    See the memory implementation for an example.
+
+    Implementations should respect the `node_cache_size` configuration value, and skip all
+    cache logic if the value is set to 0.
+    """
 
     @abstractmethod
     def get(self, key: Union[int, str]) -> Optional[BaseInvocationOutput]:
-        """Retrieves and invocation output from the cache"""
+        """Retrieves an invocation output from the cache"""
         pass
 
     @abstractmethod
-    def save(self, key: Union[int, str], value: BaseInvocationOutput) -> None:
+    def save(self, key: Union[int, str], invocation_output: BaseInvocationOutput) -> None:
         """Stores an invocation output in the cache"""
         pass
 
     @abstractmethod
     def delete(self, key: Union[int, str]) -> None:
-        """Deleted an invocation output from the cache"""
+        """Deleteds an invocation output from the cache"""
         pass
 
-    @classmethod
     @abstractmethod
-    def create_key(cls, value: BaseInvocation) -> Union[int, str]:
-        """Creates the cache key for an invocation"""
+    def clear(self) -> None:
+        """Clears the cache"""
+        pass
+
+    @abstractmethod
+    def create_key(self, invocation: BaseInvocation) -> int:
+        """Gets the key for the invocation's cache item"""
         pass
diff --git a/invokeai/app/services/invocation_cache/invocation_cache_memory.py b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
index 8dd59cd5b7..455a78d9d1 100644
--- a/invokeai/app/services/invocation_cache/invocation_cache_memory.py
+++ b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
@@ -3,44 +3,77 @@ from typing import Optional, Union
 
 from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput
 from invokeai.app.services.invocation_cache.invocation_cache_base import InvocationCacheBase
+from invokeai.app.services.invoker import Invoker
 
 
 class MemoryInvocationCache(InvocationCacheBase):
-    __cache: dict[Union[int, str], BaseInvocationOutput]
+    __cache: dict[Union[int, str], tuple[BaseInvocationOutput, str]]
     __max_cache_size: int
     __cache_ids: Queue
+    __invoker: Invoker
 
     def __init__(self, max_cache_size: int = 512) -> None:
         self.__cache = dict()
         self.__max_cache_size = max_cache_size
         self.__cache_ids = Queue()
 
+    def start(self, invoker: Invoker) -> None:
+        self.__invoker = invoker
+        self.__invoker.services.images.on_deleted(self._delete_by_match)
+        self.__invoker.services.latents.on_deleted(self._delete_by_match)
+
     def get(self, key: Union[int, str]) -> Optional[BaseInvocationOutput]:
         if self.__max_cache_size == 0:
-            return None
+            return
 
-        return self.__cache.get(key, None)
+        item = self.__cache.get(key, None)
+        if item is not None:
+            return item[0]
 
-    def save(self, key: Union[int, str], value: BaseInvocationOutput) -> None:
+    def save(self, key: Union[int, str], invocation_output: BaseInvocationOutput) -> None:
         if self.__max_cache_size == 0:
-            return None
+            return
 
         if key not in self.__cache:
-            self.__cache[key] = value
+            self.__cache[key] = (invocation_output, invocation_output.json())
             self.__cache_ids.put(key)
             if self.__cache_ids.qsize() > self.__max_cache_size:
                 try:
                     self.__cache.pop(self.__cache_ids.get())
                 except KeyError:
+                    # this means the cache_ids are somehow out of sync w/ the cache
                     pass
 
     def delete(self, key: Union[int, str]) -> None:
         if self.__max_cache_size == 0:
-            return None
+            return
 
         if key in self.__cache:
             del self.__cache[key]
 
-    @classmethod
-    def create_key(cls, value: BaseInvocation) -> Union[int, str]:
-        return hash(value.json(exclude={"id"}))
+    def clear(self, *args, **kwargs) -> None:
+        if self.__max_cache_size == 0:
+            return
+
+        self.__cache.clear()
+        self.__cache_ids = Queue()
+
+    def create_key(self, invocation: BaseInvocation) -> int:
+        return hash(invocation.json(exclude={"id"}))
+
+    def _delete_by_match(self, to_match: str) -> None:
+        if self.__max_cache_size == 0:
+            return
+
+        keys_to_delete = set()
+        for key, value_tuple in self.__cache.items():
+            if to_match in value_tuple[1]:
+                keys_to_delete.add(key)
+
+        if not keys_to_delete:
+            return
+
+        for key in keys_to_delete:
+            self.delete(key)
+
+        self.__invoker.services.logger.debug(f"Deleted {len(keys_to_delete)} cached invocation outputs for {to_match}")
diff --git a/invokeai/app/services/latent_storage.py b/invokeai/app/services/latent_storage.py
index f0b1dc9fe7..8605ef5abd 100644
--- a/invokeai/app/services/latent_storage.py
+++ b/invokeai/app/services/latent_storage.py
@@ -3,7 +3,7 @@
 from abc import ABC, abstractmethod
 from pathlib import Path
 from queue import Queue
-from typing import Dict, Optional, Union
+from typing import Callable, Dict, Optional, Union
 
 import torch
 
@@ -11,6 +11,13 @@ import torch
 class LatentsStorageBase(ABC):
     """Responsible for storing and retrieving latents."""
 
+    _on_changed_callbacks: list[Callable[[torch.Tensor], None]]
+    _on_deleted_callbacks: list[Callable[[str], None]]
+
+    def __init__(self) -> None:
+        self._on_changed_callbacks = list()
+        self._on_deleted_callbacks = list()
+
     @abstractmethod
     def get(self, name: str) -> torch.Tensor:
         pass
@@ -23,6 +30,22 @@ class LatentsStorageBase(ABC):
     def delete(self, name: str) -> None:
         pass
 
+    def on_changed(self, on_changed: Callable[[torch.Tensor], None]) -> None:
+        """Register a callback for when an item is changed"""
+        self._on_changed_callbacks.append(on_changed)
+
+    def on_deleted(self, on_deleted: Callable[[str], None]) -> None:
+        """Register a callback for when an item is deleted"""
+        self._on_deleted_callbacks.append(on_deleted)
+
+    def _on_changed(self, item: torch.Tensor) -> None:
+        for callback in self._on_changed_callbacks:
+            callback(item)
+
+    def _on_deleted(self, item_id: str) -> None:
+        for callback in self._on_deleted_callbacks:
+            callback(item_id)
+
 
 class ForwardCacheLatentsStorage(LatentsStorageBase):
     """Caches the latest N latents in memory, writing-thorugh to and reading from underlying storage"""
@@ -33,6 +56,7 @@ class ForwardCacheLatentsStorage(LatentsStorageBase):
     __underlying_storage: LatentsStorageBase
 
     def __init__(self, underlying_storage: LatentsStorageBase, max_cache_size: int = 20):
+        super().__init__()
         self.__underlying_storage = underlying_storage
         self.__cache = dict()
         self.__cache_ids = Queue()
@@ -50,11 +74,13 @@ class ForwardCacheLatentsStorage(LatentsStorageBase):
     def save(self, name: str, data: torch.Tensor) -> None:
         self.__underlying_storage.save(name, data)
         self.__set_cache(name, data)
+        self._on_changed(data)
 
     def delete(self, name: str) -> None:
         self.__underlying_storage.delete(name)
         if name in self.__cache:
             del self.__cache[name]
+        self._on_deleted(name)
 
     def __get_cache(self, name: str) -> Optional[torch.Tensor]:
         return None if name not in self.__cache else self.__cache[name]

From c1aa2b82eb8cd7158ee2b5c3518cdb03ccf13bc7 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 20 Sep 2023 18:40:24 +1000
Subject: [PATCH 197/265] feat(nodes): default `node_cache_size` in
 `MemoryInvocationCache` to 0 (fully disabled)

---
 .../app/services/invocation_cache/invocation_cache_memory.py  | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/services/invocation_cache/invocation_cache_memory.py b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
index 455a78d9d1..4c0eb2106f 100644
--- a/invokeai/app/services/invocation_cache/invocation_cache_memory.py
+++ b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
@@ -12,13 +12,15 @@ class MemoryInvocationCache(InvocationCacheBase):
     __cache_ids: Queue
     __invoker: Invoker
 
-    def __init__(self, max_cache_size: int = 512) -> None:
+    def __init__(self, max_cache_size: int = 0) -> None:
         self.__cache = dict()
         self.__max_cache_size = max_cache_size
         self.__cache_ids = Queue()
 
     def start(self, invoker: Invoker) -> None:
         self.__invoker = invoker
+        if self.__max_cache_size == 0:
+            return
         self.__invoker.services.images.on_deleted(self._delete_by_match)
         self.__invoker.services.latents.on_deleted(self._delete_by_match)
 

From bfed08673ae85a18b9142955480bbdfc16b27239 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 20 Sep 2023 18:40:40 +1000
Subject: [PATCH 198/265] fix(test): fix tests

---
 tests/nodes/test_graph_execution_state.py |  6 +++---
 tests/nodes/test_invoker.py               | 13 +++++++------
 2 files changed, 10 insertions(+), 9 deletions(-)

diff --git a/tests/nodes/test_graph_execution_state.py b/tests/nodes/test_graph_execution_state.py
index 41ca93551a..a8a6590f68 100644
--- a/tests/nodes/test_graph_execution_state.py
+++ b/tests/nodes/test_graph_execution_state.py
@@ -3,8 +3,6 @@ import threading
 
 import pytest
 
-from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
-
 # This import must happen before other invoke imports or test in other files(!!) break
 from .test_nodes import (  # isort: split
     PromptCollectionTestInvocation,
@@ -17,7 +15,9 @@ import sqlite3
 from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
 from invokeai.app.invocations.collections import RangeInvocation
 from invokeai.app.invocations.math import AddInvocation, MultiplyInvocation
+from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig
 from invokeai.app.services.graph import CollectInvocation, Graph, GraphExecutionState, IterateInvocation, LibraryGraph
+from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
 from invokeai.app.services.invocation_queue import MemoryInvocationQueue
 from invokeai.app.services.invocation_services import InvocationServices
 from invokeai.app.services.invocation_stats import InvocationStatsService
@@ -61,7 +61,7 @@ def mock_services() -> InvocationServices:
         graph_execution_manager=graph_execution_manager,
         performance_statistics=InvocationStatsService(graph_execution_manager),
         processor=DefaultInvocationProcessor(),
-        configuration=None,  # type: ignore
+        configuration=InvokeAIAppConfig(node_cache_size=0),  # type: ignore
         session_queue=None,  # type: ignore
         session_processor=None,  # type: ignore
         invocation_cache=MemoryInvocationCache(),  # type: ignore
diff --git a/tests/nodes/test_invoker.py b/tests/nodes/test_invoker.py
index 7dc5cf57b3..c3b508f675 100644
--- a/tests/nodes/test_invoker.py
+++ b/tests/nodes/test_invoker.py
@@ -4,6 +4,8 @@ import threading
 
 import pytest
 
+from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig
+
 # This import must happen before other invoke imports or test in other files(!!) break
 from .test_nodes import (  # isort: split
     ErrorInvocation,
@@ -14,7 +16,6 @@ from .test_nodes import (  # isort: split
     wait_until,
 )
 
-from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.app.services.graph import Graph, GraphExecutionState, GraphInvocation, LibraryGraph
 from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
 from invokeai.app.services.invocation_queue import MemoryInvocationQueue
@@ -70,10 +71,10 @@ def mock_services() -> InvocationServices:
         graph_execution_manager=graph_execution_manager,
         processor=DefaultInvocationProcessor(),
         performance_statistics=InvocationStatsService(graph_execution_manager),
-        configuration=InvokeAIAppConfig(),
+        configuration=InvokeAIAppConfig(node_cache_size=0),  # type: ignore
         session_queue=None,  # type: ignore
         session_processor=None,  # type: ignore
-        invocation_cache=MemoryInvocationCache(),
+        invocation_cache=MemoryInvocationCache(max_cache_size=0),
     )
 
 
@@ -102,7 +103,7 @@ def test_can_create_graph_state_from_graph(mock_invoker: Invoker, simple_graph):
 # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor")
 def test_can_invoke(mock_invoker: Invoker, simple_graph):
     g = mock_invoker.create_execution_state(graph=simple_graph)
-    invocation_id = mock_invoker.invoke(queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g)
+    invocation_id = mock_invoker.invoke(queue_item_id=1, queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g)
     assert invocation_id is not None
 
     def has_executed_any(g: GraphExecutionState):
@@ -120,7 +121,7 @@ def test_can_invoke(mock_invoker: Invoker, simple_graph):
 def test_can_invoke_all(mock_invoker: Invoker, simple_graph):
     g = mock_invoker.create_execution_state(graph=simple_graph)
     invocation_id = mock_invoker.invoke(
-        queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, invoke_all=True
+        queue_item_id=1, queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, invoke_all=True
     )
     assert invocation_id is not None
 
@@ -140,7 +141,7 @@ def test_handles_errors(mock_invoker: Invoker):
     g = mock_invoker.create_execution_state()
     g.graph.add_node(ErrorInvocation(id="1"))
 
-    mock_invoker.invoke(queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, invoke_all=True)
+    mock_invoker.invoke(queue_item_id=1, queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, invoke_all=True)
 
     def has_executed_all(g: GraphExecutionState):
         g = mock_invoker.services.graph_execution_manager.get(g.id)

From 4cdca45228fb0d6f7e664cc3e19b3ce0236bc676 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 20 Sep 2023 22:53:25 +1000
Subject: [PATCH 199/265] feat(api): add route to clear invocation cache

---
 invokeai/app/api/routers/app_info.py | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/invokeai/app/api/routers/app_info.py b/invokeai/app/api/routers/app_info.py
index afa17d5bd7..a98c8edc6a 100644
--- a/invokeai/app/api/routers/app_info.py
+++ b/invokeai/app/api/routers/app_info.py
@@ -103,3 +103,13 @@ async def set_log_level(
     """Sets the log verbosity level"""
     ApiDependencies.invoker.services.logger.setLevel(level)
     return LogLevel(ApiDependencies.invoker.services.logger.level)
+
+
+@app_router.delete(
+    "/invocation_cache",
+    operation_id="clear_invocation_cache",
+    responses={200: {"description": "The operation was successful"}},
+)
+async def clear_invocation_cache() -> None:
+    """Clears the invocation cache"""
+    ApiDependencies.invoker.services.invocation_cache.clear()

From 1c38cce16d0ad74ce5e04d147cee5b1aecfc5c39 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 20 Sep 2023 22:39:54 +1000
Subject: [PATCH 200/265] feat(ui): add confirmation dialog box to clear queue
 button

---
 invokeai/frontend/web/public/locales/en.json  |  2 ++
 .../queue/components/ClearQueueButton.tsx     | 35 ++++++++++++-------
 .../queue/components/common/QueueButton.tsx   |  2 +-
 3 files changed, 26 insertions(+), 13 deletions(-)

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index d69015fbdc..f979c91247 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -239,6 +239,8 @@
         "cancelItem": "Cancel Item",
         "cancelBatchSucceeded": "Batch Canceled",
         "cancelBatchFailed": "Problem Canceling Batch",
+        "clearQueueAlertDialog": "Clearing the queue immediately cancels any processing items and clears the queue entirely.",
+        "clearQueueAlertDialog2": "Are you sure you want to clear the queue?",
         "current": "Current",
         "next": "Next",
         "status": "Status",
diff --git a/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx
index 1cf7665983..8f727c3a8a 100644
--- a/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx
@@ -3,7 +3,8 @@ import { useTranslation } from 'react-i18next';
 import { FaTrash } from 'react-icons/fa';
 import { useClearQueue } from '../hooks/useClearQueue';
 import QueueButton from './common/QueueButton';
-import { ChakraProps } from '@chakra-ui/react';
+import { ChakraProps, Text } from '@chakra-ui/react';
+import IAIAlertDialog from 'common/components/IAIAlertDialog';
 
 type Props = {
   asIconButton?: boolean;
@@ -15,17 +16,27 @@ const ClearQueueButton = ({ asIconButton, sx }: Props) => {
   const { clearQueue, isLoading, queueStatus } = useClearQueue();
 
   return (
-    <QueueButton
-      isDisabled={!queueStatus?.queue.total}
-      isLoading={isLoading}
-      asIconButton={asIconButton}
-      label={t('queue.clear')}
-      tooltip={t('queue.clearTooltip')}
-      icon={<FaTrash />}
-      onClick={clearQueue}
-      colorScheme="error"
-      sx={sx}
-    />
+    <IAIAlertDialog
+      title={t('queue.clearTooltip')}
+      acceptCallback={clearQueue}
+      acceptButtonText={t('queue.clear')}
+      triggerComponent={
+        <QueueButton
+          isDisabled={!queueStatus?.queue.total}
+          isLoading={isLoading}
+          asIconButton={asIconButton}
+          label={t('queue.clear')}
+          tooltip={t('queue.clearTooltip')}
+          icon={<FaTrash />}
+          colorScheme="error"
+          sx={sx}
+        />
+      }
+    >
+      <Text>{t('queue.clearQueueAlertDialog')}</Text>
+      <br />
+      <Text>{t('queue.clearQueueAlertDialog2')}</Text>
+    </IAIAlertDialog>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx
index e165967936..29a94e9725 100644
--- a/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx
@@ -7,7 +7,7 @@ type Props = {
   label: string;
   tooltip: ReactNode;
   icon: ReactElement;
-  onClick: () => void;
+  onClick?: () => void;
   isDisabled?: boolean;
   colorScheme: ThemeTypings['colorSchemes'];
   asIconButton?: boolean;

From bdfdf854fc2dcdd13130bdcbab5ac05331532415 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 20 Sep 2023 22:29:44 +1000
Subject: [PATCH 201/265] fix: canvas not working on queue

Add `batch_id` to outbound events. This necessitates adding it to both `InvocationContext` and `InvocationQueueItem`. This allows the canvas to receive images.

When the user enqueues a batch on the canvas, it is expected that all images from that batch are directed to the canvas.

The simplest, most flexible solution is to add the `batch_id` to the invocation context-y stuff. Then everything knows what batch it came from, and we can have the canvas pick up images associated with its list of canvas `batch_id`s.
---
 invokeai/app/invocations/baseinvocation.py    | 11 ++++++-
 invokeai/app/services/events.py               | 30 ++++++++++++++++--
 invokeai/app/services/invocation_queue.py     |  3 ++
 invokeai/app/services/invoker.py              | 12 +++++--
 .../app/services/model_manager_service.py     |  2 ++
 invokeai/app/services/processor.py            | 13 ++++++--
 .../session_processor_default.py              |  5 +--
 .../session_queue/session_queue_sqlite.py     |  3 ++
 invokeai/app/util/step_callback.py            |  1 +
 .../addCommitStagingAreaImageListener.ts      |  4 +--
 .../socketio/socketInvocationComplete.ts      |  4 +--
 .../socketio/socketQueueItemStatusChanged.ts  | 13 ++------
 .../components/IAICanvasIntermediateImage.tsx |  4 +--
 .../src/features/canvas/store/canvasSlice.ts  | 10 ++----
 .../src/features/canvas/store/canvasTypes.ts  |  1 -
 .../src/features/system/store/systemSlice.ts  |  2 ++
 .../web/src/features/system/store/types.ts    |  1 +
 .../frontend/web/src/services/events/types.ts | 31 ++++++++++++-------
 tests/nodes/test_graph_execution_state.py     |  8 ++++-
 tests/nodes/test_invoker.py                   | 21 +++++++++++--
 20 files changed, 129 insertions(+), 50 deletions(-)

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 24bfa6aac5..97bd29ff17 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -425,12 +425,21 @@ class InvocationContext:
     graph_execution_state_id: str
     queue_id: str
     queue_item_id: int
+    queue_batch_id: str
 
-    def __init__(self, services: InvocationServices, queue_id: str, queue_item_id: int, graph_execution_state_id: str):
+    def __init__(
+        self,
+        services: InvocationServices,
+        queue_id: str,
+        queue_item_id: int,
+        queue_batch_id: str,
+        graph_execution_state_id: str,
+    ):
         self.services = services
         self.graph_execution_state_id = graph_execution_state_id
         self.queue_id = queue_id
         self.queue_item_id = queue_item_id
+        self.queue_batch_id = queue_batch_id
 
 
 class BaseInvocationOutput(BaseModel):
diff --git a/invokeai/app/services/events.py b/invokeai/app/services/events.py
index 260ff4b173..3b36ffb917 100644
--- a/invokeai/app/services/events.py
+++ b/invokeai/app/services/events.py
@@ -30,6 +30,7 @@ class EventServiceBase:
         self,
         queue_id: str,
         queue_item_id: int,
+        queue_batch_id: str,
         graph_execution_state_id: str,
         node: dict,
         source_node_id: str,
@@ -44,6 +45,7 @@ class EventServiceBase:
             payload=dict(
                 queue_id=queue_id,
                 queue_item_id=queue_item_id,
+                queue_batch_id=queue_batch_id,
                 graph_execution_state_id=graph_execution_state_id,
                 node_id=node.get("id"),
                 source_node_id=source_node_id,
@@ -58,6 +60,7 @@ class EventServiceBase:
         self,
         queue_id: str,
         queue_item_id: int,
+        queue_batch_id: str,
         graph_execution_state_id: str,
         result: dict,
         node: dict,
@@ -69,6 +72,7 @@ class EventServiceBase:
             payload=dict(
                 queue_id=queue_id,
                 queue_item_id=queue_item_id,
+                queue_batch_id=queue_batch_id,
                 graph_execution_state_id=graph_execution_state_id,
                 node=node,
                 source_node_id=source_node_id,
@@ -80,6 +84,7 @@ class EventServiceBase:
         self,
         queue_id: str,
         queue_item_id: int,
+        queue_batch_id: str,
         graph_execution_state_id: str,
         node: dict,
         source_node_id: str,
@@ -92,6 +97,7 @@ class EventServiceBase:
             payload=dict(
                 queue_id=queue_id,
                 queue_item_id=queue_item_id,
+                queue_batch_id=queue_batch_id,
                 graph_execution_state_id=graph_execution_state_id,
                 node=node,
                 source_node_id=source_node_id,
@@ -101,7 +107,13 @@ class EventServiceBase:
         )
 
     def emit_invocation_started(
-        self, queue_id: str, queue_item_id: int, graph_execution_state_id: str, node: dict, source_node_id: str
+        self,
+        queue_id: str,
+        queue_item_id: int,
+        queue_batch_id: str,
+        graph_execution_state_id: str,
+        node: dict,
+        source_node_id: str,
     ) -> None:
         """Emitted when an invocation has started"""
         self.__emit_queue_event(
@@ -109,19 +121,23 @@ class EventServiceBase:
             payload=dict(
                 queue_id=queue_id,
                 queue_item_id=queue_item_id,
+                queue_batch_id=queue_batch_id,
                 graph_execution_state_id=graph_execution_state_id,
                 node=node,
                 source_node_id=source_node_id,
             ),
         )
 
-    def emit_graph_execution_complete(self, queue_id: str, queue_item_id: int, graph_execution_state_id: str) -> None:
+    def emit_graph_execution_complete(
+        self, queue_id: str, queue_item_id: int, queue_batch_id: str, graph_execution_state_id: str
+    ) -> None:
         """Emitted when a session has completed all invocations"""
         self.__emit_queue_event(
             event_name="graph_execution_state_complete",
             payload=dict(
                 queue_id=queue_id,
                 queue_item_id=queue_item_id,
+                queue_batch_id=queue_batch_id,
                 graph_execution_state_id=graph_execution_state_id,
             ),
         )
@@ -130,6 +146,7 @@ class EventServiceBase:
         self,
         queue_id: str,
         queue_item_id: int,
+        queue_batch_id: str,
         graph_execution_state_id: str,
         model_name: str,
         base_model: BaseModelType,
@@ -142,6 +159,7 @@ class EventServiceBase:
             payload=dict(
                 queue_id=queue_id,
                 queue_item_id=queue_item_id,
+                queue_batch_id=queue_batch_id,
                 graph_execution_state_id=graph_execution_state_id,
                 model_name=model_name,
                 base_model=base_model,
@@ -154,6 +172,7 @@ class EventServiceBase:
         self,
         queue_id: str,
         queue_item_id: int,
+        queue_batch_id: str,
         graph_execution_state_id: str,
         model_name: str,
         base_model: BaseModelType,
@@ -167,6 +186,7 @@ class EventServiceBase:
             payload=dict(
                 queue_id=queue_id,
                 queue_item_id=queue_item_id,
+                queue_batch_id=queue_batch_id,
                 graph_execution_state_id=graph_execution_state_id,
                 model_name=model_name,
                 base_model=base_model,
@@ -182,6 +202,7 @@ class EventServiceBase:
         self,
         queue_id: str,
         queue_item_id: int,
+        queue_batch_id: str,
         graph_execution_state_id: str,
         error_type: str,
         error: str,
@@ -192,6 +213,7 @@ class EventServiceBase:
             payload=dict(
                 queue_id=queue_id,
                 queue_item_id=queue_item_id,
+                queue_batch_id=queue_batch_id,
                 graph_execution_state_id=graph_execution_state_id,
                 error_type=error_type,
                 error=error,
@@ -202,6 +224,7 @@ class EventServiceBase:
         self,
         queue_id: str,
         queue_item_id: int,
+        queue_batch_id: str,
         graph_execution_state_id: str,
         node_id: str,
         error_type: str,
@@ -213,6 +236,7 @@ class EventServiceBase:
             payload=dict(
                 queue_id=queue_id,
                 queue_item_id=queue_item_id,
+                queue_batch_id=queue_batch_id,
                 graph_execution_state_id=graph_execution_state_id,
                 node_id=node_id,
                 error_type=error_type,
@@ -224,6 +248,7 @@ class EventServiceBase:
         self,
         queue_id: str,
         queue_item_id: int,
+        queue_batch_id: str,
         graph_execution_state_id: str,
     ) -> None:
         """Emitted when a session is canceled"""
@@ -232,6 +257,7 @@ class EventServiceBase:
             payload=dict(
                 queue_id=queue_id,
                 queue_item_id=queue_item_id,
+                queue_batch_id=queue_batch_id,
                 graph_execution_state_id=graph_execution_state_id,
             ),
         )
diff --git a/invokeai/app/services/invocation_queue.py b/invokeai/app/services/invocation_queue.py
index 0819d90748..378a9d12cf 100644
--- a/invokeai/app/services/invocation_queue.py
+++ b/invokeai/app/services/invocation_queue.py
@@ -15,6 +15,9 @@ class InvocationQueueItem(BaseModel):
     session_queue_item_id: int = Field(
         description="The ID of session queue item from which this invocation queue item came"
     )
+    session_queue_batch_id: str = Field(
+        description="The ID of the session batch from which this invocation queue item came"
+    )
     invoke_all: bool = Field(default=False)
     timestamp: float = Field(default_factory=time.time)
 
diff --git a/invokeai/app/services/invoker.py b/invokeai/app/services/invoker.py
index 1466fd0142..0c98fc285c 100644
--- a/invokeai/app/services/invoker.py
+++ b/invokeai/app/services/invoker.py
@@ -18,7 +18,12 @@ class Invoker:
         self._start()
 
     def invoke(
-        self, queue_id: str, queue_item_id: int, graph_execution_state: GraphExecutionState, invoke_all: bool = False
+        self,
+        session_queue_id: str,
+        session_queue_item_id: int,
+        session_queue_batch_id: str,
+        graph_execution_state: GraphExecutionState,
+        invoke_all: bool = False,
     ) -> Optional[str]:
         """Determines the next node to invoke and enqueues it, preparing if needed.
         Returns the id of the queued node, or `None` if there are no nodes left to enqueue."""
@@ -34,8 +39,9 @@ class Invoker:
         # Queue the invocation
         self.services.queue.put(
             InvocationQueueItem(
-                session_queue_item_id=queue_item_id,
-                session_queue_id=queue_id,
+                session_queue_id=session_queue_id,
+                session_queue_item_id=session_queue_item_id,
+                session_queue_batch_id=session_queue_batch_id,
                 graph_execution_state_id=graph_execution_state.id,
                 invocation_id=invocation.id,
                 invoke_all=invoke_all,
diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager_service.py
index d7d274aec0..143fa8f357 100644
--- a/invokeai/app/services/model_manager_service.py
+++ b/invokeai/app/services/model_manager_service.py
@@ -539,6 +539,7 @@ class ModelManagerService(ModelManagerServiceBase):
             context.services.events.emit_model_load_completed(
                 queue_id=context.queue_id,
                 queue_item_id=context.queue_item_id,
+                queue_batch_id=context.queue_batch_id,
                 graph_execution_state_id=context.graph_execution_state_id,
                 model_name=model_name,
                 base_model=base_model,
@@ -550,6 +551,7 @@ class ModelManagerService(ModelManagerServiceBase):
             context.services.events.emit_model_load_started(
                 queue_id=context.queue_id,
                 queue_item_id=context.queue_item_id,
+                queue_batch_id=context.queue_batch_id,
                 graph_execution_state_id=context.graph_execution_state_id,
                 model_name=model_name,
                 base_model=base_model,
diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py
index 54531be85c..b4c894c52d 100644
--- a/invokeai/app/services/processor.py
+++ b/invokeai/app/services/processor.py
@@ -57,6 +57,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                 except Exception as e:
                     self.__invoker.services.logger.error("Exception while retrieving session:\n%s" % e)
                     self.__invoker.services.events.emit_session_retrieval_error(
+                        queue_batch_id=queue_item.session_queue_batch_id,
                         queue_item_id=queue_item.session_queue_item_id,
                         queue_id=queue_item.session_queue_id,
                         graph_execution_state_id=queue_item.graph_execution_state_id,
@@ -70,6 +71,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                 except Exception as e:
                     self.__invoker.services.logger.error("Exception while retrieving invocation:\n%s" % e)
                     self.__invoker.services.events.emit_invocation_retrieval_error(
+                        queue_batch_id=queue_item.session_queue_batch_id,
                         queue_item_id=queue_item.session_queue_item_id,
                         queue_id=queue_item.session_queue_id,
                         graph_execution_state_id=queue_item.graph_execution_state_id,
@@ -84,6 +86,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
 
                 # Send starting event
                 self.__invoker.services.events.emit_invocation_started(
+                    queue_batch_id=queue_item.session_queue_batch_id,
                     queue_item_id=queue_item.session_queue_item_id,
                     queue_id=queue_item.session_queue_id,
                     graph_execution_state_id=graph_execution_state.id,
@@ -106,6 +109,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                                 graph_execution_state_id=graph_execution_state.id,
                                 queue_item_id=queue_item.session_queue_item_id,
                                 queue_id=queue_item.session_queue_id,
+                                queue_batch_id=queue_item.session_queue_batch_id,
                             )
                         )
 
@@ -121,6 +125,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
 
                         # Send complete event
                         self.__invoker.services.events.emit_invocation_complete(
+                            queue_batch_id=queue_item.session_queue_batch_id,
                             queue_item_id=queue_item.session_queue_item_id,
                             queue_id=queue_item.session_queue_id,
                             graph_execution_state_id=graph_execution_state.id,
@@ -150,6 +155,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                     self.__invoker.services.logger.error("Error while invoking:\n%s" % e)
                     # Send error event
                     self.__invoker.services.events.emit_invocation_error(
+                        queue_batch_id=queue_item.session_queue_batch_id,
                         queue_item_id=queue_item.session_queue_item_id,
                         queue_id=queue_item.session_queue_id,
                         graph_execution_state_id=graph_execution_state.id,
@@ -170,14 +176,16 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                 if queue_item.invoke_all and not is_complete:
                     try:
                         self.__invoker.invoke(
-                            queue_item_id=queue_item.session_queue_item_id,
-                            queue_id=queue_item.session_queue_id,
+                            session_queue_batch_id=queue_item.session_queue_batch_id,
+                            session_queue_item_id=queue_item.session_queue_item_id,
+                            session_queue_id=queue_item.session_queue_id,
                             graph_execution_state=graph_execution_state,
                             invoke_all=True,
                         )
                     except Exception as e:
                         self.__invoker.services.logger.error("Error while invoking:\n%s" % e)
                         self.__invoker.services.events.emit_invocation_error(
+                            queue_batch_id=queue_item.session_queue_batch_id,
                             queue_item_id=queue_item.session_queue_item_id,
                             queue_id=queue_item.session_queue_id,
                             graph_execution_state_id=graph_execution_state.id,
@@ -188,6 +196,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                         )
                 elif is_complete:
                     self.__invoker.services.events.emit_graph_execution_complete(
+                        queue_batch_id=queue_item.session_queue_batch_id,
                         queue_item_id=queue_item.session_queue_item_id,
                         queue_id=queue_item.session_queue_id,
                         graph_execution_state_id=graph_execution_state.id,
diff --git a/invokeai/app/services/session_processor/session_processor_default.py b/invokeai/app/services/session_processor/session_processor_default.py
index 92b68aeae7..b682c7e56c 100644
--- a/invokeai/app/services/session_processor/session_processor_default.py
+++ b/invokeai/app/services/session_processor/session_processor_default.py
@@ -102,8 +102,9 @@ class DefaultSessionProcessor(SessionProcessorBase):
                         self.__queue_item = queue_item
                         self.__invoker.services.graph_execution_manager.set(queue_item.session)
                         self.__invoker.invoke(
-                            queue_item_id=queue_item.item_id,
-                            queue_id=queue_item.queue_id,
+                            session_queue_batch_id=queue_item.batch_id,
+                            session_queue_id=queue_item.queue_id,
+                            session_queue_item_id=queue_item.item_id,
                             graph_execution_state=queue_item.session,
                             invoke_all=True,
                         )
diff --git a/invokeai/app/services/session_queue/session_queue_sqlite.py b/invokeai/app/services/session_queue/session_queue_sqlite.py
index 4925170c48..e1701aa288 100644
--- a/invokeai/app/services/session_queue/session_queue_sqlite.py
+++ b/invokeai/app/services/session_queue/session_queue_sqlite.py
@@ -562,6 +562,7 @@ class SqliteSessionQueue(SessionQueueBase):
             self.__invoker.services.events.emit_session_canceled(
                 queue_item_id=queue_item.item_id,
                 queue_id=queue_item.queue_id,
+                queue_batch_id=queue_item.batch_id,
                 graph_execution_state_id=queue_item.session_id,
             )
             self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
@@ -604,6 +605,7 @@ class SqliteSessionQueue(SessionQueueBase):
                 self.__invoker.services.events.emit_session_canceled(
                     queue_item_id=current_queue_item.item_id,
                     queue_id=current_queue_item.queue_id,
+                    queue_batch_id=current_queue_item.batch_id,
                     graph_execution_state_id=current_queue_item.session_id,
                 )
                 self.__invoker.services.events.emit_queue_item_status_changed(current_queue_item)
@@ -649,6 +651,7 @@ class SqliteSessionQueue(SessionQueueBase):
                 self.__invoker.services.events.emit_session_canceled(
                     queue_item_id=current_queue_item.item_id,
                     queue_id=current_queue_item.queue_id,
+                    queue_batch_id=current_queue_item.batch_id,
                     graph_execution_state_id=current_queue_item.session_id,
                 )
                 self.__invoker.services.events.emit_queue_item_status_changed(current_queue_item)
diff --git a/invokeai/app/util/step_callback.py b/invokeai/app/util/step_callback.py
index 8edcc11f05..6d4a857491 100644
--- a/invokeai/app/util/step_callback.py
+++ b/invokeai/app/util/step_callback.py
@@ -112,6 +112,7 @@ def stable_diffusion_step_callback(
     context.services.events.emit_generator_progress(
         queue_id=context.queue_id,
         queue_item_id=context.queue_item_id,
+        queue_batch_id=context.queue_batch_id,
         graph_execution_state_id=context.graph_execution_state_id,
         node=node,
         source_node_id=source_node_id,
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts
index 4ee1bdb15a..d302d50255 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts
@@ -1,7 +1,7 @@
 import { isAnyOf } from '@reduxjs/toolkit';
 import { logger } from 'app/logging/logger';
 import {
-  canvasBatchesAndSessionsReset,
+  canvasBatchIdsReset,
   commitStagingAreaImage,
   discardStagedImages,
 } from 'features/canvas/store/canvasSlice';
@@ -38,7 +38,7 @@ export const addCommitStagingAreaImageListener = () => {
             })
           );
         }
-        dispatch(canvasBatchesAndSessionsReset());
+        dispatch(canvasBatchIdsReset());
       } catch {
         log.error('Failed to cancel canvas batches');
         dispatch(
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
index d326a122c9..e2c97100af 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
@@ -30,7 +30,7 @@ export const addInvocationCompleteEventListener = () => {
         `Invocation complete (${action.payload.data.node.type})`
       );
 
-      const { result, node, graph_execution_state_id } = data;
+      const { result, node, queue_batch_id } = data;
 
       // This complete event has an associated image output
       if (isImageOutput(result) && !nodeDenylist.includes(node.type)) {
@@ -43,7 +43,7 @@ export const addInvocationCompleteEventListener = () => {
 
         // Add canvas images to the staging area
         if (
-          canvas.sessionIds.includes(graph_execution_state_id) &&
+          canvas.batchIds.includes(queue_batch_id) &&
           [CANVAS_OUTPUT].includes(data.source_node_id)
         ) {
           dispatch(addImageToStagingArea(imageDTO));
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts
index a56fb4cc76..241e1da92c 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts
@@ -1,5 +1,4 @@
 import { logger } from 'app/logging/logger';
-import { canvasSessionIdAdded } from 'features/canvas/store/canvasSlice';
 import { queueApi, queueItemsAdapter } from 'services/api/endpoints/queue';
 import {
   appSocketQueueItemStatusChanged,
@@ -10,12 +9,11 @@ import { startAppListening } from '../..';
 export const addSocketQueueItemStatusChangedEventListener = () => {
   startAppListening({
     actionCreator: socketQueueItemStatusChanged,
-    effect: (action, { dispatch, getState }) => {
+    effect: (action, { dispatch }) => {
       const log = logger('socketio');
       const {
         queue_item_id: item_id,
-        batch_id,
-        graph_execution_state_id,
+        queue_batch_id,
         status,
       } = action.payload.data;
       log.debug(
@@ -36,11 +34,6 @@ export const addSocketQueueItemStatusChangedEventListener = () => {
         })
       );
 
-      const state = getState();
-      if (state.canvas.batchIds.includes(batch_id)) {
-        dispatch(canvasSessionIdAdded(graph_execution_state_id));
-      }
-
       dispatch(
         queueApi.util.invalidateTags([
           'CurrentSessionQueueItem',
@@ -48,7 +41,7 @@ export const addSocketQueueItemStatusChangedEventListener = () => {
           'SessionQueueStatus',
           { type: 'SessionQueueItem', id: item_id },
           { type: 'SessionQueueItemDTO', id: item_id },
-          { type: 'BatchStatus', id: batch_id },
+          { type: 'BatchStatus', id: queue_batch_id },
         ])
       );
     },
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx
index 4a29e12859..0febf7fb21 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx
@@ -11,12 +11,12 @@ const selector = createSelector(
   ({ system, canvas }) => {
     const { denoiseProgress } = system;
     const { boundingBox } = canvas.layerState.stagingArea;
-    const { sessionIds } = canvas;
+    const { batchIds } = canvas;
 
     return {
       boundingBox,
       progressImage:
-        denoiseProgress && sessionIds.includes(denoiseProgress.session_id)
+        denoiseProgress && batchIds.includes(denoiseProgress.batch_id)
           ? denoiseProgress.progress_image
           : undefined,
     };
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
index 66b87a84e4..b726e757f6 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
@@ -85,7 +85,6 @@ export const initialCanvasState: CanvasState = {
   stageDimensions: { width: 0, height: 0 },
   stageScale: 1,
   tool: 'brush',
-  sessionIds: [],
   batchIds: [],
 };
 
@@ -302,11 +301,7 @@ export const canvasSlice = createSlice({
     canvasBatchIdAdded: (state, action: PayloadAction<string>) => {
       state.batchIds.push(action.payload);
     },
-    canvasSessionIdAdded: (state, action: PayloadAction<string>) => {
-      state.sessionIds.push(action.payload);
-    },
-    canvasBatchesAndSessionsReset: (state) => {
-      state.sessionIds = [];
+    canvasBatchIdsReset: (state) => {
       state.batchIds = [];
     },
     stagingAreaInitialized: (
@@ -879,8 +874,7 @@ export const {
   setShouldAntialias,
   canvasResized,
   canvasBatchIdAdded,
-  canvasSessionIdAdded,
-  canvasBatchesAndSessionsReset,
+  canvasBatchIdsReset,
 } = canvasSlice.actions;
 
 export default canvasSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
index 233d38dc80..875157d36a 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
@@ -166,7 +166,6 @@ export interface CanvasState {
   tool: CanvasTool;
   generationMode?: GenerationMode;
   batchIds: string[];
-  sessionIds: string[];
 }
 
 export type GenerationMode = 'txt2img' | 'img2img' | 'inpaint' | 'outpaint';
diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index 78f1ce6e70..40e8c42145 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -113,6 +113,7 @@ export const systemSlice = createSlice({
         order,
         progress_image,
         graph_execution_state_id: session_id,
+        queue_batch_id: batch_id,
       } = action.payload.data;
 
       state.denoiseProgress = {
@@ -122,6 +123,7 @@ export const systemSlice = createSlice({
         percentage: calculateStepPercentage(step, total_steps, order),
         progress_image,
         session_id,
+        batch_id,
       };
 
       state.status = 'PROCESSING';
diff --git a/invokeai/frontend/web/src/features/system/store/types.ts b/invokeai/frontend/web/src/features/system/store/types.ts
index 05b86f1e79..b81e292e36 100644
--- a/invokeai/frontend/web/src/features/system/store/types.ts
+++ b/invokeai/frontend/web/src/features/system/store/types.ts
@@ -12,6 +12,7 @@ export type SystemStatus =
 
 export type DenoiseProgress = {
   session_id: string;
+  batch_id: string;
   progress_image: ProgressImage | null | undefined;
   step: number;
   total_steps: number;
diff --git a/invokeai/frontend/web/src/services/events/types.ts b/invokeai/frontend/web/src/services/events/types.ts
index 8087b88077..47a3d83eba 100644
--- a/invokeai/frontend/web/src/services/events/types.ts
+++ b/invokeai/frontend/web/src/services/events/types.ts
@@ -34,7 +34,8 @@ export type BaseNode = {
 
 export type ModelLoadStartedEvent = {
   queue_id: string;
-  queue_item_id: string;
+  queue_item_id: number;
+  queue_batch_id: string;
   graph_execution_state_id: string;
   model_name: string;
   base_model: BaseModelType;
@@ -44,7 +45,8 @@ export type ModelLoadStartedEvent = {
 
 export type ModelLoadCompletedEvent = {
   queue_id: string;
-  queue_item_id: string;
+  queue_item_id: number;
+  queue_batch_id: string;
   graph_execution_state_id: string;
   model_name: string;
   base_model: BaseModelType;
@@ -62,7 +64,8 @@ export type ModelLoadCompletedEvent = {
  */
 export type GeneratorProgressEvent = {
   queue_id: string;
-  queue_item_id: string;
+  queue_item_id: number;
+  queue_batch_id: string;
   graph_execution_state_id: string;
   node_id: string;
   source_node_id: string;
@@ -81,7 +84,8 @@ export type GeneratorProgressEvent = {
  */
 export type InvocationCompleteEvent = {
   queue_id: string;
-  queue_item_id: string;
+  queue_item_id: number;
+  queue_batch_id: string;
   graph_execution_state_id: string;
   node: BaseNode;
   source_node_id: string;
@@ -95,7 +99,8 @@ export type InvocationCompleteEvent = {
  */
 export type InvocationErrorEvent = {
   queue_id: string;
-  queue_item_id: string;
+  queue_item_id: number;
+  queue_batch_id: string;
   graph_execution_state_id: string;
   node: BaseNode;
   source_node_id: string;
@@ -110,7 +115,8 @@ export type InvocationErrorEvent = {
  */
 export type InvocationStartedEvent = {
   queue_id: string;
-  queue_item_id: string;
+  queue_item_id: number;
+  queue_batch_id: string;
   graph_execution_state_id: string;
   node: BaseNode;
   source_node_id: string;
@@ -123,7 +129,8 @@ export type InvocationStartedEvent = {
  */
 export type GraphExecutionStateCompleteEvent = {
   queue_id: string;
-  queue_item_id: string;
+  queue_item_id: number;
+  queue_batch_id: string;
   graph_execution_state_id: string;
 };
 
@@ -134,7 +141,8 @@ export type GraphExecutionStateCompleteEvent = {
  */
 export type SessionRetrievalErrorEvent = {
   queue_id: string;
-  queue_item_id: string;
+  queue_item_id: number;
+  queue_batch_id: string;
   graph_execution_state_id: string;
   error_type: string;
   error: string;
@@ -147,7 +155,8 @@ export type SessionRetrievalErrorEvent = {
  */
 export type InvocationRetrievalErrorEvent = {
   queue_id: string;
-  queue_item_id: string;
+  queue_item_id: number;
+  queue_batch_id: string;
   graph_execution_state_id: string;
   node_id: string;
   error_type: string;
@@ -161,8 +170,8 @@ export type InvocationRetrievalErrorEvent = {
  */
 export type QueueItemStatusChangedEvent = {
   queue_id: string;
-  queue_item_id: string;
-  batch_id: string;
+  queue_item_id: number;
+  queue_batch_id: string;
   session_id: string;
   graph_execution_state_id: string;
   status: components['schemas']['SessionQueueItemDTO']['status'];
diff --git a/tests/nodes/test_graph_execution_state.py b/tests/nodes/test_graph_execution_state.py
index 41ca93551a..9009140134 100644
--- a/tests/nodes/test_graph_execution_state.py
+++ b/tests/nodes/test_graph_execution_state.py
@@ -75,7 +75,13 @@ def invoke_next(g: GraphExecutionState, services: InvocationServices) -> tuple[B
 
     print(f"invoking {n.id}: {type(n)}")
     o = n.invoke(
-        InvocationContext(queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, services=services, graph_execution_state_id="1")
+        InvocationContext(
+            queue_batch_id="1",
+            queue_item_id=1,
+            queue_id=DEFAULT_QUEUE_ID,
+            services=services,
+            graph_execution_state_id="1",
+        )
     )
     g.complete(n.id, o)
 
diff --git a/tests/nodes/test_invoker.py b/tests/nodes/test_invoker.py
index 7dc5cf57b3..119ac70498 100644
--- a/tests/nodes/test_invoker.py
+++ b/tests/nodes/test_invoker.py
@@ -102,7 +102,12 @@ def test_can_create_graph_state_from_graph(mock_invoker: Invoker, simple_graph):
 # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor")
 def test_can_invoke(mock_invoker: Invoker, simple_graph):
     g = mock_invoker.create_execution_state(graph=simple_graph)
-    invocation_id = mock_invoker.invoke(queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g)
+    invocation_id = mock_invoker.invoke(
+        session_queue_batch_id="1",
+        session_queue_item_id=1,
+        session_queue_id=DEFAULT_QUEUE_ID,
+        graph_execution_state=g,
+    )
     assert invocation_id is not None
 
     def has_executed_any(g: GraphExecutionState):
@@ -120,7 +125,11 @@ def test_can_invoke(mock_invoker: Invoker, simple_graph):
 def test_can_invoke_all(mock_invoker: Invoker, simple_graph):
     g = mock_invoker.create_execution_state(graph=simple_graph)
     invocation_id = mock_invoker.invoke(
-        queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, invoke_all=True
+        session_queue_batch_id="1",
+        session_queue_item_id=1,
+        session_queue_id=DEFAULT_QUEUE_ID,
+        graph_execution_state=g,
+        invoke_all=True,
     )
     assert invocation_id is not None
 
@@ -140,7 +149,13 @@ def test_handles_errors(mock_invoker: Invoker):
     g = mock_invoker.create_execution_state()
     g.graph.add_node(ErrorInvocation(id="1"))
 
-    mock_invoker.invoke(queue_item_id="1", queue_id=DEFAULT_QUEUE_ID, graph_execution_state=g, invoke_all=True)
+    mock_invoker.invoke(
+        session_queue_batch_id="1",
+        session_queue_item_id=1,
+        session_queue_id=DEFAULT_QUEUE_ID,
+        graph_execution_state=g,
+        invoke_all=True,
+    )
 
     def has_executed_all(g: GraphExecutionState):
         g = mock_invoker.services.graph_execution_manager.get(g.id)

From b5266f89ad28138be8738d7d0020c27b7f0f8af8 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 00:02:58 +1000
Subject: [PATCH 202/265] fix(ui): fallback to `null` for invalid metadata
 values (#4575)

---
 .../web/src/features/nodes/types/types.ts     | 65 +++++++++++--------
 1 file changed, 37 insertions(+), 28 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index 7ca683e77d..361de26ea5 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -1120,36 +1120,45 @@ export type LoRAMetadataItem = z.infer<typeof zLoRAMetadataItem>;
 
 export const zCoreMetadata = z
   .object({
-    app_version: z.string().nullish(),
-    generation_mode: z.string().nullish(),
-    created_by: z.string().nullish(),
-    positive_prompt: z.string().nullish(),
-    negative_prompt: z.string().nullish(),
-    width: z.number().int().nullish(),
-    height: z.number().int().nullish(),
-    seed: z.number().int().nullish(),
-    rand_device: z.string().nullish(),
-    cfg_scale: z.number().nullish(),
-    steps: z.number().int().nullish(),
-    scheduler: z.string().nullish(),
-    clip_skip: z.number().int().nullish(),
+    app_version: z.string().nullish().catch(null),
+    generation_mode: z.string().nullish().catch(null),
+    created_by: z.string().nullish().catch(null),
+    positive_prompt: z.string().nullish().catch(null),
+    negative_prompt: z.string().nullish().catch(null),
+    width: z.number().int().nullish().catch(null),
+    height: z.number().int().nullish().catch(null),
+    seed: z.number().int().nullish().catch(null),
+    rand_device: z.string().nullish().catch(null),
+    cfg_scale: z.number().nullish().catch(null),
+    steps: z.number().int().nullish().catch(null),
+    scheduler: z.string().nullish().catch(null),
+    clip_skip: z.number().int().nullish().catch(null),
     model: z
       .union([zMainModel.deepPartial(), zOnnxModel.deepPartial()])
-      .nullish(),
-    controlnets: z.array(zControlField.deepPartial()).nullish(),
-    loras: z.array(zLoRAMetadataItem).nullish(),
-    vae: zVaeModelField.nullish(),
-    strength: z.number().nullish(),
-    init_image: z.string().nullish(),
-    positive_style_prompt: z.string().nullish(),
-    negative_style_prompt: z.string().nullish(),
-    refiner_model: zSDXLRefinerModel.deepPartial().nullish(),
-    refiner_cfg_scale: z.number().nullish(),
-    refiner_steps: z.number().int().nullish(),
-    refiner_scheduler: z.string().nullish(),
-    refiner_positive_aesthetic_score: z.number().nullish(),
-    refiner_negative_aesthetic_score: z.number().nullish(),
-    refiner_start: z.number().nullish(),
+      .nullish()
+      .catch(null),
+    controlnets: z.array(zControlField.deepPartial()).nullish().catch(null),
+    loras: z
+      .array(
+        z.object({
+          lora: zLoRAModelField.deepPartial(),
+          weight: z.number(),
+        })
+      )
+      .nullish()
+      .catch(null),
+    vae: zVaeModelField.nullish().catch(null),
+    strength: z.number().nullish().catch(null),
+    init_image: z.string().nullish().catch(null),
+    positive_style_prompt: z.string().nullish().catch(null),
+    negative_style_prompt: z.string().nullish().catch(null),
+    refiner_model: zSDXLRefinerModel.deepPartial().nullish().catch(null),
+    refiner_cfg_scale: z.number().nullish().catch(null),
+    refiner_steps: z.number().int().nullish().catch(null),
+    refiner_scheduler: z.string().nullish().catch(null),
+    refiner_positive_aesthetic_score: z.number().nullish().catch(null),
+    refiner_negative_aesthetic_score: z.number().nullish().catch(null),
+    refiner_start: z.number().nullish().catch(null),
   })
   .passthrough();
 

From 32672cfeda4f47ae523042d2b79a790b8e54c254 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 00:15:39 +1000
Subject: [PATCH 203/265] ui: misc small fixes (#4600)

* feat(ui): tweak queue UI components

* fix(ui): manually dispatch queue status query on queue item status change

RTK Query occasionally aborts the query that occurs when the tag is invalidated, especially if multples of them fire in rapid succession.

This resulted in the queue status and progress bar sometimes not reseting when the queue finishes its last item.

Manually dispatch the query now to get around this. Eventually should probably move this to a socket so we don't need to keep responding to socket with HTTP requests. Just send ti directly via socket

* chore(ui): remove errant console.logs

* fix(ui): do not accumulate node outputs in outputs area

* fix(ui): fix merge issue

---------

Co-authored-by: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
---
 .../listeners/controlNetImageProcessed.ts         |  1 -
 .../socketio/socketInvocationComplete.ts          |  1 -
 .../socketio/socketQueueItemStatusChanged.ts      | 14 +++++++++-----
 .../web/src/features/nodes/store/nodesSlice.ts    |  2 +-
 .../components/QueueList/QueueItemComponent.tsx   | 12 ++++++++----
 .../components/QueueList/QueueItemDetail.tsx      | 15 ++++++++++++---
 .../components/QueueList/QueueListHeader.tsx      |  8 ++++----
 .../subpanels/AddModelsPanel/SimpleAddModels.tsx  |  1 -
 8 files changed, 34 insertions(+), 20 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts
index 185ada39e8..814614da10 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts
@@ -65,7 +65,6 @@ export const addControlNetImageProcessedListener = () => {
         );
         const enqueueResult = await req.unwrap();
         req.reset();
-        console.log(enqueueResult.queue_item.session_id);
         log.debug(
           { enqueueResult: parseify(enqueueResult) },
           t('queue.graphQueued')
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
index e2c97100af..b6d8acc82e 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
@@ -76,7 +76,6 @@ export const addInvocationCompleteEventListener = () => {
                   categories: IMAGE_CATEGORIES,
                 },
                 (draft) => {
-                  console.log(draft);
                   imagesAdapter.addOne(draft, imageDTO);
                 }
               )
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts
index 241e1da92c..b0377e950b 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts
@@ -9,7 +9,7 @@ import { startAppListening } from '../..';
 export const addSocketQueueItemStatusChangedEventListener = () => {
   startAppListening({
     actionCreator: socketQueueItemStatusChanged,
-    effect: (action, { dispatch }) => {
+    effect: async (action, { dispatch }) => {
       const log = logger('socketio');
       const {
         queue_item_id: item_id,
@@ -24,9 +24,6 @@ export const addSocketQueueItemStatusChangedEventListener = () => {
 
       dispatch(
         queueApi.util.updateQueryData('listQueueItems', undefined, (draft) => {
-          if (!draft) {
-            console.log('no draft!');
-          }
           queueItemsAdapter.updateOne(draft, {
             id: item_id,
             changes: action.payload.data,
@@ -38,12 +35,19 @@ export const addSocketQueueItemStatusChangedEventListener = () => {
         queueApi.util.invalidateTags([
           'CurrentSessionQueueItem',
           'NextSessionQueueItem',
-          'SessionQueueStatus',
           { type: 'SessionQueueItem', id: item_id },
           { type: 'SessionQueueItemDTO', id: item_id },
           { type: 'BatchStatus', id: queue_batch_id },
         ])
       );
+
+      const req = dispatch(
+        queueApi.endpoints.getQueueStatus.initiate(undefined, {
+          forceRefetch: true,
+        })
+      );
+      await req.unwrap();
+      req.unsubscribe();
     },
   });
 };
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index 07dd8ad4ec..325ab1ff16 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -871,7 +871,7 @@ const nodesSlice = createSlice({
           nes.error = null;
           nes.progress = null;
           nes.progressImage = null;
-          // do not reset nes.outputs, this allows a user to inspect the output of a node across batches
+          nes.outputs = [];
         });
       }
     });
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx
index 637e6e20c2..7f4fd9bc9b 100644
--- a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx
@@ -59,16 +59,22 @@ const QueueItemComponent = ({ index, item, context }: InnerItemProps) => {
     return `${seconds}s`;
   }, [item]);
 
+  const isCanceled = useMemo(
+    () => ['canceled', 'completed', 'failed'].includes(item.status),
+    [item.status]
+  );
+
   return (
     <Flex
       flexDir="column"
-      borderRadius="base"
       aria-selected={isOpen}
       fontSize="sm"
+      borderRadius="base"
       justifyContent="center"
       sx={sx}
     >
       <Flex
+        minH={9}
         alignItems="center"
         gap={4}
         p={1.5}
@@ -128,10 +134,8 @@ const QueueItemComponent = ({ index, item, context }: InnerItemProps) => {
           <ButtonGroup size="xs" variant="ghost">
             <IAIIconButton
               onClick={handleCancelQueueItem}
+              isDisabled={isCanceled}
               isLoading={isLoading}
-              isDisabled={['canceled', 'completed', 'failed'].includes(
-                item.status
-              )}
               aria-label={t('queue.cancelItem')}
               icon={<FaTimes />}
             />
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx
index e0474a16de..7ce9733aae 100644
--- a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx
@@ -31,7 +31,7 @@ const QueueItemComponent = ({ queueItemDTO }: Props) => {
 
   const statusAndTiming = useMemo(() => {
     if (!queueItem) {
-      return '';
+      return t('common.loading');
     }
     if (!queueItem.completed_at || !queueItem.started_at) {
       return t(`queue.${queueItem.status}`);
@@ -62,6 +62,7 @@ const QueueItemComponent = ({ queueItemDTO }: Props) => {
         justifyContent="space-between"
         alignItems="center"
         borderRadius="base"
+        h={20}
       >
         <QueueItemData label={t('queue.status')} data={statusAndTiming} />
         <QueueItemData label={t('queue.item')} data={item_id} />
@@ -136,9 +137,17 @@ type QueueItemDataProps = { label: string; data: ReactNode };
 
 const QueueItemData = ({ label, data }: QueueItemDataProps) => {
   return (
-    <Flex flexDir="column" p={1} gap={1} overflow="hidden">
+    <Flex
+      flexDir="column"
+      justifyContent="flex-start"
+      p={1}
+      gap={1}
+      overflow="hidden"
+      h="full"
+      w="full"
+    >
       <Heading
-        size="sm"
+        size="md"
         overflow="hidden"
         textOverflow="ellipsis"
         whiteSpace="nowrap"
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx
index 2b00e10e48..6c54a72a79 100644
--- a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx
@@ -21,16 +21,16 @@ const QueueListHeader = () => {
       >
         <Text variant="subtext">#</Text>
       </Flex>
-      <Flex w={COLUMN_WIDTHS.statusBadge} alignItems="center">
+      <Flex ps={0.5} w={COLUMN_WIDTHS.statusBadge} alignItems="center">
         <Text variant="subtext">status</Text>
       </Flex>
-      <Flex w={COLUMN_WIDTHS.time} alignItems="center">
+      <Flex ps={0.5} w={COLUMN_WIDTHS.time} alignItems="center">
         <Text variant="subtext">time</Text>
       </Flex>
-      <Flex w={COLUMN_WIDTHS.batchId} alignItems="center">
+      <Flex ps={0.5} w={COLUMN_WIDTHS.batchId} alignItems="center">
         <Text variant="subtext">batch</Text>
       </Flex>
-      <Flex alignItems="center" w={COLUMN_WIDTHS.fieldValues}>
+      <Flex ps={0.5} w={COLUMN_WIDTHS.fieldValues} alignItems="center">
         <Text variant="subtext">batch field values</Text>
       </Flex>
     </Flex>
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx
index a72e24f1b6..b2845f0e85 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx
@@ -58,7 +58,6 @@ export default function SimpleAddModels() {
       })
       .catch((error) => {
         if (error) {
-          console.log(error);
           dispatch(
             addToast(
               makeToast({

From 9faa53ceb1c5552df4a2bc7f688c0fae667befd6 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 00:19:31 +1000
Subject: [PATCH 204/265] feat(ui): consolidate advanced params (#4599)

---
 invokeai/frontend/web/public/locales/en.json  |  6 ++
 .../buildCanvasImageToImageGraph.ts           |  6 +-
 .../graphBuilders/buildCanvasInpaintGraph.ts  |  5 +-
 .../graphBuilders/buildCanvasOutpaintGraph.ts |  5 +-
 .../buildCanvasSDXLImageToImageGraph.ts       |  6 +-
 .../buildCanvasSDXLInpaintGraph.ts            |  5 +-
 .../buildCanvasSDXLOutpaintGraph.ts           |  5 +-
 .../buildCanvasSDXLTextToImageGraph.ts        |  6 +-
 .../buildCanvasTextToImageGraph.ts            |  6 +-
 .../buildLinearImageToImageGraph.ts           |  6 +-
 .../buildLinearSDXLImageToImageGraph.ts       |  6 +-
 .../buildLinearSDXLTextToImageGraph.ts        |  7 +-
 .../buildLinearTextToImageGraph.ts            |  6 +-
 .../Advanced/ParamAdvancedCollapse.tsx        | 53 +++++++++++----
 .../Parameters/Noise/ParamCpuNoise.tsx        | 30 +++------
 .../Parameters/Noise/ParamNoiseCollapse.tsx   | 55 ----------------
 .../Parameters/Noise/ParamNoiseThreshold.tsx  |  6 +-
 .../Parameters/Noise/ParamNoiseToggle.tsx     | 26 --------
 .../Parameters/Noise/ParamPerlinNoise.tsx     |  6 +-
 .../Parameters/Seamless/ParamSeamless.tsx     | 32 +++++++++
 .../Seamless/ParamSeamlessCollapse.tsx        | 65 -------------------
 .../parameters/store/generationSlice.ts       | 19 ------
 .../SDXLImageToImageTabParameters.tsx         |  6 +-
 .../SDXLTextToImageTabParameters.tsx          |  6 +-
 .../SDXLUnifiedCanvasTabParameters.tsx        |  6 +-
 .../SettingsModal/SettingsModal.tsx           | 20 +-----
 .../ImageToImageTabParameters.tsx             |  4 --
 .../TextToImage/TextToImageTabParameters.tsx  |  4 --
 .../UnifiedCanvas/UnifiedCanvasParameters.tsx |  2 -
 29 files changed, 113 insertions(+), 302 deletions(-)
 delete mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseCollapse.tsx
 delete mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamless.tsx
 delete mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse.tsx

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index f979c91247..76f1ac0069 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -885,6 +885,7 @@
         },
         "cfgScale": "CFG Scale",
         "clipSkip": "CLIP Skip",
+        "clipSkipWithLayerCount": "CLIP Skip {{layerCount}}",
         "closeViewer": "Close Viewer",
         "codeformerFidelity": "Fidelity",
         "coherenceMode": "Mode",
@@ -958,6 +959,9 @@
         "seamlessTiling": "Seamless Tiling",
         "seamlessXAxis": "X Axis",
         "seamlessYAxis": "Y Axis",
+        "seamlessX": "Seamless X",
+        "seamlessY": "Seamless Y",
+        "seamlessX&Y": "Seamless X & Y",
         "seamLowThreshold": "Low",
         "seed": "Seed",
         "seedWeights": "Seed Weights",
@@ -979,6 +983,8 @@
         "upscaling": "Upscaling",
         "useAll": "Use All",
         "useCpuNoise": "Use CPU Noise",
+        "cpuNoise": "CPU Noise",
+        "gpuNoise": "GPU Noise",
         "useInitImg": "Use Initial Image",
         "usePrompt": "Use Prompt",
         "useSeed": "Use Seed",
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index e7707d6e8a..4dbbac9f96 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -1,7 +1,6 @@
 import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
-import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { ImageDTO, ImageToLatentsInvocation } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
@@ -47,7 +46,6 @@ export const buildCanvasImageToImageGraph = (
     vaePrecision,
     clipSkip,
     shouldUseCpuNoise,
-    shouldUseNoiseSettings,
     seamlessXAxis,
     seamlessYAxis,
   } = state.generation;
@@ -70,9 +68,7 @@ export const buildCanvasImageToImageGraph = (
 
   let modelLoaderNodeId = MAIN_MODEL_LOADER;
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : initialGenerationState.shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 7117af5177..de7620bc7e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -61,7 +61,6 @@ export const buildCanvasInpaintGraph = (
     img2imgStrength: strength,
     seed,
     vaePrecision,
-    shouldUseNoiseSettings,
     shouldUseCpuNoise,
     maskBlur,
     maskBlurMethod,
@@ -92,9 +91,7 @@ export const buildCanvasInpaintGraph = (
 
   let modelLoaderNodeId = MAIN_MODEL_LOADER;
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   const graph: NonNullableGraph = {
     id: CANVAS_INPAINT_GRAPH,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 2449d1ea4b..8205e477ec 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -63,7 +63,6 @@ export const buildCanvasOutpaintGraph = (
     img2imgStrength: strength,
     seed,
     vaePrecision,
-    shouldUseNoiseSettings,
     shouldUseCpuNoise,
     maskBlur,
     canvasCoherenceMode,
@@ -96,9 +95,7 @@ export const buildCanvasOutpaintGraph = (
 
   let modelLoaderNodeId = MAIN_MODEL_LOADER;
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   const graph: NonNullableGraph = {
     id: CANVAS_OUTPAINT_GRAPH,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index 35ea37f294..36fc66e559 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -1,7 +1,6 @@
 import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
-import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { ImageDTO, ImageToLatentsInvocation } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
@@ -48,7 +47,6 @@ export const buildCanvasSDXLImageToImageGraph = (
     vaePrecision,
     clipSkip,
     shouldUseCpuNoise,
-    shouldUseNoiseSettings,
     seamlessXAxis,
     seamlessYAxis,
   } = state.generation;
@@ -78,9 +76,7 @@ export const buildCanvasSDXLImageToImageGraph = (
   // Model Loader ID
   let modelLoaderNodeId = SDXL_MODEL_LOADER;
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : initialGenerationState.shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   // Construct Style Prompt
   const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 897c9093b5..389d510ac7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -62,7 +62,6 @@ export const buildCanvasSDXLInpaintGraph = (
     steps,
     seed,
     vaePrecision,
-    shouldUseNoiseSettings,
     shouldUseCpuNoise,
     maskBlur,
     maskBlurMethod,
@@ -98,9 +97,7 @@ export const buildCanvasSDXLInpaintGraph = (
 
   let modelLoaderNodeId = SDXL_MODEL_LOADER;
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   // Construct Style Prompt
   const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 922e75fa0c..c913492335 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -64,7 +64,6 @@ export const buildCanvasSDXLOutpaintGraph = (
     steps,
     seed,
     vaePrecision,
-    shouldUseNoiseSettings,
     shouldUseCpuNoise,
     maskBlur,
     canvasCoherenceMode,
@@ -102,9 +101,7 @@ export const buildCanvasSDXLOutpaintGraph = (
 
   let modelLoaderNodeId = SDXL_MODEL_LOADER;
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   // Construct Style Prompt
   const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index 8a292e9826..37245d7b6a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -1,7 +1,6 @@
 import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
-import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import {
   DenoiseLatentsInvocation,
   ONNXTextToLatentsInvocation,
@@ -49,7 +48,6 @@ export const buildCanvasSDXLTextToImageGraph = (
     vaePrecision,
     clipSkip,
     shouldUseCpuNoise,
-    shouldUseNoiseSettings,
     seamlessXAxis,
     seamlessYAxis,
   } = state.generation;
@@ -72,9 +70,7 @@ export const buildCanvasSDXLTextToImageGraph = (
     throw new Error('No model found in state');
   }
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : initialGenerationState.shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   const isUsingOnnxModel = model.model_type === 'onnx';
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index a99b2c9ece..2aa0b2b47d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -1,7 +1,6 @@
 import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
-import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import {
   DenoiseLatentsInvocation,
   ONNXTextToLatentsInvocation,
@@ -47,7 +46,6 @@ export const buildCanvasTextToImageGraph = (
     vaePrecision,
     clipSkip,
     shouldUseCpuNoise,
-    shouldUseNoiseSettings,
     seamlessXAxis,
     seamlessYAxis,
   } = state.generation;
@@ -68,9 +66,7 @@ export const buildCanvasTextToImageGraph = (
     throw new Error('No model found in state');
   }
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : initialGenerationState.shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   const isUsingOnnxModel = model.model_type === 'onnx';
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index 719fb8ea78..bf8d9ea314 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -1,7 +1,6 @@
 import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
-import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import {
   ImageResizeInvocation,
   ImageToLatentsInvocation,
@@ -51,7 +50,6 @@ export const buildLinearImageToImageGraph = (
     height,
     clipSkip,
     shouldUseCpuNoise,
-    shouldUseNoiseSettings,
     vaePrecision,
     seamlessXAxis,
     seamlessYAxis,
@@ -81,9 +79,7 @@ export const buildLinearImageToImageGraph = (
 
   let modelLoaderNodeId = MAIN_MODEL_LOADER;
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : initialGenerationState.shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   // copy-pasted graph from node editor, filled in with state values & friendly node ids
   const graph: NonNullableGraph = {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 2a7ae4064f..b10f4c5542 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -1,7 +1,6 @@
 import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
-import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import {
   ImageResizeInvocation,
   ImageToLatentsInvocation,
@@ -52,7 +51,6 @@ export const buildLinearSDXLImageToImageGraph = (
     height,
     clipSkip,
     shouldUseCpuNoise,
-    shouldUseNoiseSettings,
     vaePrecision,
     seamlessXAxis,
     seamlessYAxis,
@@ -91,9 +89,7 @@ export const buildLinearSDXLImageToImageGraph = (
   // Model Loader ID
   let modelLoaderNodeId = SDXL_MODEL_LOADER;
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : initialGenerationState.shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   // Construct Style Prompt
   const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } =
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index ad65f649b7..73c831081d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -1,7 +1,6 @@
 import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
-import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
@@ -41,7 +40,6 @@ export const buildLinearSDXLTextToImageGraph = (
     height,
     clipSkip,
     shouldUseCpuNoise,
-    shouldUseNoiseSettings,
     vaePrecision,
     seamlessXAxis,
     seamlessYAxis,
@@ -54,9 +52,8 @@ export const buildLinearSDXLTextToImageGraph = (
     refinerStart,
   } = state.sdxl;
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : initialGenerationState.shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
+
   if (!model) {
     log.error('No model found in state');
     throw new Error('No model found in state');
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index b3b663d65d..d7af045803 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -1,7 +1,6 @@
 import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
-import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import {
   DenoiseLatentsInvocation,
   ONNXTextToLatentsInvocation,
@@ -43,16 +42,13 @@ export const buildLinearTextToImageGraph = (
     height,
     clipSkip,
     shouldUseCpuNoise,
-    shouldUseNoiseSettings,
     vaePrecision,
     seamlessXAxis,
     seamlessYAxis,
     seed,
   } = state.generation;
 
-  const use_cpu = shouldUseNoiseSettings
-    ? shouldUseCpuNoise
-    : initialGenerationState.shouldUseCpuNoise;
+  const use_cpu = shouldUseCpuNoise;
 
   if (!model) {
     log.error('No model found in state');
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx
index 2d461f7bb4..dea4bb7b3d 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx
@@ -1,37 +1,64 @@
-import { Flex } from '@chakra-ui/react';
+import { Divider, Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { RootState, stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAICollapse from 'common/components/IAICollapse';
-import ParamClipSkip from './ParamClipSkip';
+import { useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
+import { ParamCpuNoiseToggle } from '../Noise/ParamCpuNoise';
+import ParamSeamless from '../Seamless/ParamSeamless';
+import ParamClipSkip from './ParamClipSkip';
 
 const selector = createSelector(
   stateSelector,
   (state: RootState) => {
-    const clipSkip = state.generation.clipSkip;
-    return {
-      activeLabel: clipSkip > 0 ? 'Clip Skip' : undefined,
-    };
+    const { clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise } =
+      state.generation;
+
+    return { clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise };
   },
   defaultSelectorOptions
 );
 
 export default function ParamAdvancedCollapse() {
-  const { activeLabel } = useAppSelector(selector);
-  const shouldShowAdvancedOptions = useAppSelector(
-    (state: RootState) => state.generation.shouldShowAdvancedOptions
-  );
+  const { clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise } =
+    useAppSelector(selector);
   const { t } = useTranslation();
-  if (!shouldShowAdvancedOptions) {
-    return null;
-  }
+  const activeLabel = useMemo(() => {
+    const activeLabel: string[] = [];
+
+    if (shouldUseCpuNoise) {
+      activeLabel.push(t('parameters.cpuNoise'));
+    } else {
+      activeLabel.push(t('parameters.gpuNoise'));
+    }
+
+    if (clipSkip > 0) {
+      activeLabel.push(
+        t('parameters.clipSkipWithLayerCount', { layerCount: clipSkip })
+      );
+    }
+
+    if (seamlessXAxis && seamlessYAxis) {
+      activeLabel.push(t('parameters.seamlessX&Y'));
+    } else if (seamlessXAxis) {
+      activeLabel.push(t('parameters.seamlessX'));
+    } else if (seamlessYAxis) {
+      activeLabel.push(t('parameters.seamlessY'));
+    }
+
+    return activeLabel.join(', ');
+  }, [clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise, t]);
 
   return (
     <IAICollapse label={t('common.advanced')} activeLabel={activeLabel}>
       <Flex sx={{ flexDir: 'column', gap: 2 }}>
+        <ParamSeamless />
+        <Divider />
         <ParamClipSkip />
+        <Divider pt={2} />
+        <ParamCpuNoiseToggle />
       </Flex>
     </IAICollapse>
   );
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
index f10c3dd1a5..23f8f23fb6 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
@@ -1,35 +1,25 @@
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
 import { shouldUseCpuNoiseChanged } from 'features/parameters/store/generationSlice';
-import { ChangeEvent } from 'react';
+import { ChangeEvent, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
-const selector = createSelector(
-  stateSelector,
-  (state) => {
-    const { shouldUseNoiseSettings, shouldUseCpuNoise } = state.generation;
-    return {
-      isDisabled: !shouldUseNoiseSettings,
-      shouldUseCpuNoise,
-    };
-  },
-  defaultSelectorOptions
-);
-
 export const ParamCpuNoiseToggle = () => {
   const dispatch = useAppDispatch();
-  const { isDisabled, shouldUseCpuNoise } = useAppSelector(selector);
+  const shouldUseCpuNoise = useAppSelector(
+    (state) => state.generation.shouldUseCpuNoise
+  );
   const { t } = useTranslation();
 
-  const handleChange = (e: ChangeEvent<HTMLInputElement>) =>
-    dispatch(shouldUseCpuNoiseChanged(e.target.checked));
+  const handleChange = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(shouldUseCpuNoiseChanged(e.target.checked));
+    },
+    [dispatch]
+  );
 
   return (
     <IAISwitch
-      isDisabled={isDisabled}
       label={t('parameters.useCpuNoise')}
       isChecked={shouldUseCpuNoise}
       onChange={handleChange}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseCollapse.tsx
deleted file mode 100644
index 0419ecc656..0000000000
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseCollapse.tsx
+++ /dev/null
@@ -1,55 +0,0 @@
-import { Flex } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
-import { useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAICollapse from 'common/components/IAICollapse';
-import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
-import { memo } from 'react';
-import { useTranslation } from 'react-i18next';
-import { ParamCpuNoiseToggle } from './ParamCpuNoise';
-import ParamNoiseThreshold from './ParamNoiseThreshold';
-import { ParamNoiseToggle } from './ParamNoiseToggle';
-import ParamPerlinNoise from './ParamPerlinNoise';
-
-const selector = createSelector(
-  stateSelector,
-  (state) => {
-    const { shouldUseNoiseSettings } = state.generation;
-    return {
-      activeLabel: shouldUseNoiseSettings ? 'Enabled' : undefined,
-    };
-  },
-  defaultSelectorOptions
-);
-
-const ParamNoiseCollapse = () => {
-  const { t } = useTranslation();
-
-  const isNoiseEnabled = useFeatureStatus('noise').isFeatureEnabled;
-  const isPerlinNoiseEnabled = useFeatureStatus('perlinNoise').isFeatureEnabled;
-  const isNoiseThresholdEnabled =
-    useFeatureStatus('noiseThreshold').isFeatureEnabled;
-
-  const { activeLabel } = useAppSelector(selector);
-
-  if (!isNoiseEnabled) {
-    return null;
-  }
-
-  return (
-    <IAICollapse
-      label={t('parameters.noiseSettings')}
-      activeLabel={activeLabel}
-    >
-      <Flex sx={{ gap: 2, flexDirection: 'column' }}>
-        <ParamNoiseToggle />
-        <ParamCpuNoiseToggle />
-        {isPerlinNoiseEnabled && <ParamPerlinNoise />}
-        {isNoiseThresholdEnabled && <ParamNoiseThreshold />}
-      </Flex>
-    </IAICollapse>
-  );
-};
-
-export default memo(ParamNoiseCollapse);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx
index 3abb7532b4..7244800c41 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx
@@ -9,9 +9,8 @@ import { useTranslation } from 'react-i18next';
 const selector = createSelector(
   stateSelector,
   (state) => {
-    const { shouldUseNoiseSettings, threshold } = state.generation;
+    const { threshold } = state.generation;
     return {
-      isDisabled: !shouldUseNoiseSettings,
       threshold,
     };
   },
@@ -20,12 +19,11 @@ const selector = createSelector(
 
 export default function ParamNoiseThreshold() {
   const dispatch = useAppDispatch();
-  const { threshold, isDisabled } = useAppSelector(selector);
+  const { threshold } = useAppSelector(selector);
   const { t } = useTranslation();
 
   return (
     <IAISlider
-      isDisabled={isDisabled}
       label={t('parameters.noiseThreshold')}
       min={0}
       max={20}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
deleted file mode 100644
index 4ec6b0163b..0000000000
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseToggle.tsx
+++ /dev/null
@@ -1,26 +0,0 @@
-import type { RootState } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAISwitch from 'common/components/IAISwitch';
-import { setShouldUseNoiseSettings } from 'features/parameters/store/generationSlice';
-import { ChangeEvent } from 'react';
-import { useTranslation } from 'react-i18next';
-
-export const ParamNoiseToggle = () => {
-  const dispatch = useAppDispatch();
-  const { t } = useTranslation();
-
-  const shouldUseNoiseSettings = useAppSelector(
-    (state: RootState) => state.generation.shouldUseNoiseSettings
-  );
-
-  const handleChange = (e: ChangeEvent<HTMLInputElement>) =>
-    dispatch(setShouldUseNoiseSettings(e.target.checked));
-
-  return (
-    <IAISwitch
-      label={t('parameters.enableNoiseSettings')}
-      isChecked={shouldUseNoiseSettings}
-      onChange={handleChange}
-    />
-  );
-};
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx
index afd676223c..b5429dc292 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx
@@ -9,9 +9,8 @@ import { useTranslation } from 'react-i18next';
 const selector = createSelector(
   stateSelector,
   (state) => {
-    const { shouldUseNoiseSettings, perlin } = state.generation;
+    const { perlin } = state.generation;
     return {
-      isDisabled: !shouldUseNoiseSettings,
       perlin,
     };
   },
@@ -20,12 +19,11 @@ const selector = createSelector(
 
 export default function ParamPerlinNoise() {
   const dispatch = useAppDispatch();
-  const { perlin, isDisabled } = useAppSelector(selector);
+  const { perlin } = useAppSelector(selector);
   const { t } = useTranslation();
 
   return (
     <IAISlider
-      isDisabled={isDisabled}
       label={t('parameters.perlinNoise')}
       min={0}
       max={1}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamless.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamless.tsx
new file mode 100644
index 0000000000..31047454e6
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamless.tsx
@@ -0,0 +1,32 @@
+import { Box, Flex, FormControl, FormLabel } from '@chakra-ui/react';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import ParamSeamlessXAxis from './ParamSeamlessXAxis';
+import ParamSeamlessYAxis from './ParamSeamlessYAxis';
+
+const ParamSeamless = () => {
+  const { t } = useTranslation();
+
+  const isSeamlessEnabled = useFeatureStatus('seamless').isFeatureEnabled;
+
+  if (!isSeamlessEnabled) {
+    return null;
+  }
+
+  return (
+    <FormControl>
+      <FormLabel>{t('parameters.seamlessTiling')}</FormLabel>{' '}
+      <Flex sx={{ gap: 5 }}>
+        <Box flexGrow={1}>
+          <ParamSeamlessXAxis />
+        </Box>
+        <Box flexGrow={1}>
+          <ParamSeamlessYAxis />
+        </Box>
+      </Flex>
+    </FormControl>
+  );
+};
+
+export default memo(ParamSeamless);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse.tsx
deleted file mode 100644
index 099090fe3f..0000000000
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse.tsx
+++ /dev/null
@@ -1,65 +0,0 @@
-import { Box, Flex } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAICollapse from 'common/components/IAICollapse';
-import { generationSelector } from 'features/parameters/store/generationSelectors';
-import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
-import { memo } from 'react';
-import { useTranslation } from 'react-i18next';
-import ParamSeamlessXAxis from './ParamSeamlessXAxis';
-import ParamSeamlessYAxis from './ParamSeamlessYAxis';
-
-const getActiveLabel = (seamlessXAxis: boolean, seamlessYAxis: boolean) => {
-  if (seamlessXAxis && seamlessYAxis) {
-    return 'X & Y';
-  }
-
-  if (seamlessXAxis) {
-    return 'X';
-  }
-
-  if (seamlessYAxis) {
-    return 'Y';
-  }
-};
-
-const selector = createSelector(
-  generationSelector,
-  (generation) => {
-    const { seamlessXAxis, seamlessYAxis } = generation;
-
-    const activeLabel = getActiveLabel(seamlessXAxis, seamlessYAxis);
-    return { activeLabel };
-  },
-  defaultSelectorOptions
-);
-
-const ParamSeamlessCollapse = () => {
-  const { t } = useTranslation();
-  const { activeLabel } = useAppSelector(selector);
-
-  const isSeamlessEnabled = useFeatureStatus('seamless').isFeatureEnabled;
-
-  if (!isSeamlessEnabled) {
-    return null;
-  }
-
-  return (
-    <IAICollapse
-      label={t('parameters.seamlessTiling')}
-      activeLabel={activeLabel}
-    >
-      <Flex sx={{ gap: 5 }}>
-        <Box flexGrow={1}>
-          <ParamSeamlessXAxis />
-        </Box>
-        <Box flexGrow={1}>
-          <ParamSeamlessYAxis />
-        </Box>
-      </Flex>
-    </IAICollapse>
-  );
-};
-
-export default memo(ParamSeamlessCollapse);
diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
index dc79281a06..ea6aaf28ca 100644
--- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
+++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
@@ -46,7 +46,6 @@ export interface GenerationState {
   shouldFitToWidthHeight: boolean;
   shouldGenerateVariations: boolean;
   shouldRandomizeSeed: boolean;
-  shouldUseNoiseSettings: boolean;
   steps: StepsParam;
   threshold: number;
   infillTileSize: number;
@@ -88,7 +87,6 @@ export const initialGenerationState: GenerationState = {
   shouldFitToWidthHeight: true,
   shouldGenerateVariations: false,
   shouldRandomizeSeed: true,
-  shouldUseNoiseSettings: false,
   steps: 50,
   threshold: 0,
   infillTileSize: 32,
@@ -244,9 +242,6 @@ export const generationSlice = createSlice({
     setVerticalSymmetrySteps: (state, action: PayloadAction<number>) => {
       state.verticalSymmetrySteps = action.payload;
     },
-    setShouldUseNoiseSettings: (state, action: PayloadAction<boolean>) => {
-      state.shouldUseNoiseSettings = action.payload;
-    },
     initialImageChanged: (state, action: PayloadAction<ImageDTO>) => {
       const { image_name, width, height } = action.payload;
       state.initialImage = { imageName: image_name, width, height };
@@ -278,12 +273,6 @@ export const generationSlice = createSlice({
     shouldUseCpuNoiseChanged: (state, action: PayloadAction<boolean>) => {
       state.shouldUseCpuNoise = action.payload;
     },
-    setShouldShowAdvancedOptions: (state, action: PayloadAction<boolean>) => {
-      state.shouldShowAdvancedOptions = action.payload;
-      if (!action.payload) {
-        state.clipSkip = 0;
-      }
-    },
     setAspectRatio: (state, action: PayloadAction<number | null>) => {
       const newAspectRatio = action.payload;
       state.aspectRatio = newAspectRatio;
@@ -313,12 +302,6 @@ export const generationSlice = createSlice({
         }
       }
     });
-    builder.addCase(setShouldShowAdvancedOptions, (state, action) => {
-      const advancedOptionsStatus = action.payload;
-      if (!advancedOptionsStatus) {
-        state.clipSkip = 0;
-      }
-    });
   },
 });
 
@@ -359,12 +342,10 @@ export const {
   initialImageChanged,
   modelChanged,
   vaeSelected,
-  setShouldUseNoiseSettings,
   setSeamlessXAxis,
   setSeamlessYAxis,
   setClipSkip,
   shouldUseCpuNoiseChanged,
-  setShouldShowAdvancedOptions,
   setAspectRatio,
   setShouldLockAspectRatio,
   vaePrecisionChanged,
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
index 2b40eca382..5a0d7daf4e 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
@@ -1,8 +1,7 @@
 import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse';
 import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
+import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
-import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
-import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse';
 import { memo } from 'react';
 import ParamSDXLPromptArea from './ParamSDXLPromptArea';
 import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
@@ -17,8 +16,7 @@ const SDXLImageToImageTabParameters = () => {
       <ParamControlNetCollapse />
       <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
-      <ParamNoiseCollapse />
-      <ParamSeamlessCollapse />
+      <ParamAdvancedCollapse />
     </>
   );
 };
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
index ff47a42207..ab7e8c8a74 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
@@ -1,8 +1,7 @@
 import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse';
 import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
+import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
-import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
-import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse';
 import TextToImageTabCoreParameters from 'features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters';
 import { memo } from 'react';
 import ParamSDXLPromptArea from './ParamSDXLPromptArea';
@@ -17,8 +16,7 @@ const SDXLTextToImageTabParameters = () => {
       <ParamControlNetCollapse />
       <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
-      <ParamNoiseCollapse />
-      <ParamSeamlessCollapse />
+      <ParamAdvancedCollapse />
     </>
   );
 };
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
index 01236d8ec3..a9e94a9df0 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
@@ -1,10 +1,9 @@
 import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse';
 import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
+import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse';
 import ParamCompositingSettingsCollapse from 'features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse';
 import ParamInfillAndScalingCollapse from 'features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillAndScalingCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
-import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
-import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse';
 import ParamSDXLPromptArea from './ParamSDXLPromptArea';
 import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
 import SDXLUnifiedCanvasTabCoreParameters from './SDXLUnifiedCanvasTabCoreParameters';
@@ -18,10 +17,9 @@ export default function SDXLUnifiedCanvasTabParameters() {
       <ParamControlNetCollapse />
       <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
-      <ParamNoiseCollapse />
       <ParamInfillAndScalingCollapse />
       <ParamCompositingSettingsCollapse />
-      <ParamSeamlessCollapse />
+      <ParamAdvancedCollapse />
     </>
   );
 }
diff --git a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
index 858ff26f98..f1bc3f0a40 100644
--- a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
+++ b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
@@ -19,7 +19,6 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
-import { setShouldShowAdvancedOptions } from 'features/parameters/store/generationSlice';
 import {
   consoleLogLevelChanged,
   setEnableImageDebugging,
@@ -29,6 +28,7 @@ import {
   shouldUseNSFWCheckerChanged,
   shouldUseWatermarkerChanged,
 } from 'features/system/store/systemSlice';
+import { LANGUAGES } from 'features/system/store/types';
 import {
   setShouldAutoChangeDimensions,
   setShouldShowProgressInViewer,
@@ -54,11 +54,10 @@ import SettingSwitch from './SettingSwitch';
 import SettingsClearIntermediates from './SettingsClearIntermediates';
 import SettingsSchedulers from './SettingsSchedulers';
 import StyledFlex from './StyledFlex';
-import { LANGUAGES } from 'features/system/store/types';
 
 const selector = createSelector(
   [stateSelector],
-  ({ system, ui, generation }) => {
+  ({ system, ui }) => {
     const {
       shouldConfirmOnDelete,
       enableImageDebugging,
@@ -75,8 +74,6 @@ const selector = createSelector(
       shouldAutoChangeDimensions,
     } = ui;
 
-    const { shouldShowAdvancedOptions } = generation;
-
     return {
       shouldConfirmOnDelete,
       enableImageDebugging,
@@ -85,7 +82,6 @@ const selector = createSelector(
       consoleLogLevel,
       shouldLogToConsole,
       shouldAntialiasProgressImage,
-      shouldShowAdvancedOptions,
       shouldUseNSFWChecker,
       shouldUseWatermarker,
       shouldAutoChangeDimensions,
@@ -118,8 +114,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
   const shouldShowDeveloperSettings =
     config?.shouldShowDeveloperSettings ?? true;
   const shouldShowResetWebUiText = config?.shouldShowResetWebUiText ?? true;
-  const shouldShowAdvancedOptionsSettings =
-    config?.shouldShowAdvancedOptionsSettings ?? true;
   const shouldShowClearIntermediates =
     config?.shouldShowClearIntermediates ?? true;
   const shouldShowLocalizationToggle =
@@ -161,7 +155,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
     consoleLogLevel,
     shouldLogToConsole,
     shouldAntialiasProgressImage,
-    shouldShowAdvancedOptions,
     shouldUseNSFWChecker,
     shouldUseWatermarker,
     shouldAutoChangeDimensions,
@@ -242,15 +235,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
                     dispatch(setShouldConfirmOnDelete(e.target.checked))
                   }
                 />
-                {shouldShowAdvancedOptionsSettings && (
-                  <SettingSwitch
-                    label={t('settings.showAdvancedOptions')}
-                    isChecked={shouldShowAdvancedOptions}
-                    onChange={(e: ChangeEvent<HTMLInputElement>) =>
-                      dispatch(setShouldShowAdvancedOptions(e.target.checked))
-                    }
-                  />
-                )}
               </StyledFlex>
 
               <StyledFlex>
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabParameters.tsx
index 47b509eb36..6015b776f4 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabParameters.tsx
@@ -2,9 +2,7 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/Para
 import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
 import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
-import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
 import ParamPromptArea from 'features/parameters/components/Parameters/Prompt/ParamPromptArea';
-import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse';
 import ParamSymmetryCollapse from 'features/parameters/components/Parameters/Symmetry/ParamSymmetryCollapse';
 import { memo } from 'react';
 import ImageToImageTabCoreParameters from './ImageToImageTabCoreParameters';
@@ -17,9 +15,7 @@ const ImageToImageTabParameters = () => {
       <ParamControlNetCollapse />
       <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
-      <ParamNoiseCollapse />
       <ParamSymmetryCollapse />
-      <ParamSeamlessCollapse />
       <ParamAdvancedCollapse />
     </>
   );
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabParameters.tsx
index 559ef0849a..14f1aac778 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabParameters.tsx
@@ -2,8 +2,6 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/Para
 import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
 import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
-import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
-import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse';
 import ParamSymmetryCollapse from 'features/parameters/components/Parameters/Symmetry/ParamSymmetryCollapse';
 import { memo } from 'react';
 import ParamPromptArea from '../../../../parameters/components/Parameters/Prompt/ParamPromptArea';
@@ -17,9 +15,7 @@ const TextToImageTabParameters = () => {
       <ParamControlNetCollapse />
       <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
-      <ParamNoiseCollapse />
       <ParamSymmetryCollapse />
-      <ParamSeamlessCollapse />
       <ParamAdvancedCollapse />
     </>
   );
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx
index 1ee748ccce..a91ce1564b 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx
@@ -5,7 +5,6 @@ import ParamCompositingSettingsCollapse from 'features/parameters/components/Par
 import ParamInfillAndScalingCollapse from 'features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillAndScalingCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
 import ParamPromptArea from 'features/parameters/components/Parameters/Prompt/ParamPromptArea';
-import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse';
 import ParamSymmetryCollapse from 'features/parameters/components/Parameters/Symmetry/ParamSymmetryCollapse';
 import { memo } from 'react';
 import UnifiedCanvasCoreParameters from './UnifiedCanvasCoreParameters';
@@ -21,7 +20,6 @@ const UnifiedCanvasParameters = () => {
       <ParamSymmetryCollapse />
       <ParamInfillAndScalingCollapse />
       <ParamCompositingSettingsCollapse />
-      <ParamSeamlessCollapse />
       <ParamAdvancedCollapse />
     </>
   );

From b2fe24c40191754214d0aa647b5a4917b3746fb4 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Wed, 20 Sep 2023 13:07:42 -0400
Subject: [PATCH 205/265] restore text of Invoke button

---
 .../web/src/features/queue/components/QueueBackButton.tsx     | 4 +---
 .../web/src/features/queue/components/common/QueueButton.tsx  | 2 +-
 2 files changed, 2 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx b/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx
index 54dfa1ffb8..6e5c1b52a9 100644
--- a/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx
@@ -1,6 +1,5 @@
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
-import { FaPlus } from 'react-icons/fa';
 import { useQueueBack } from '../hooks/useQueueBack';
 import EnqueueButtonTooltip from './QueueButtonTooltip';
 import QueueButton from './common/QueueButton';
@@ -18,12 +17,11 @@ const QueueBackButton = ({ asIconButton, sx }: Props) => {
     <QueueButton
       asIconButton={asIconButton}
       colorScheme="accent"
-      label={t('queue.queueBack')}
+      label={t('parameters.invoke.invoke')}
       isDisabled={isDisabled}
       isLoading={isLoading}
       onClick={queueBack}
       tooltip={<EnqueueButtonTooltip />}
-      icon={<FaPlus />}
       sx={sx}
     />
   );
diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx
index 29a94e9725..f3ef09f44d 100644
--- a/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx
@@ -6,7 +6,7 @@ import { ReactElement, ReactNode, memo } from 'react';
 type Props = {
   label: string;
   tooltip: ReactNode;
-  icon: ReactElement;
+  icon?: ReactElement;
   onClick?: () => void;
   isDisabled?: boolean;
   colorScheme: ThemeTypings['colorSchemes'];

From 10af5a26f2e927921402734bc9d298efbd392fc3 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Wed, 20 Sep 2023 11:40:58 -0400
Subject: [PATCH 206/265] update component to not use selectFromResult

---
 .../ControlNet/ParamControlNetCollapse.tsx    | 33 ++++++++++---------
 1 file changed, 18 insertions(+), 15 deletions(-)

diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
index 2c40307ee3..cd276713c3 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
@@ -15,12 +15,9 @@ import {
 import { getValidControlNets } from 'features/controlNet/util/getValidControlNets';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import { map } from 'lodash-es';
-import { Fragment, memo, useCallback } from 'react';
+import { Fragment, memo, useCallback, useMemo } from 'react';
 import { FaPlus } from 'react-icons/fa';
-import {
-  controlNetModelsAdapter,
-  useGetControlNetModelsQuery,
-} from 'services/api/endpoints/models';
+import { useGetControlNetModelsQuery } from 'services/api/endpoints/models';
 import { v4 as uuidv4 } from 'uuid';
 
 const selector = createSelector(
@@ -53,16 +50,22 @@ const ParamControlNetCollapse = () => {
   const { controlNetsArray, activeLabel } = useAppSelector(selector);
   const isControlNetDisabled = useFeatureStatus('controlNet').isFeatureDisabled;
   const dispatch = useAppDispatch();
-  const { firstModel } = useGetControlNetModelsQuery(undefined, {
-    selectFromResult: (result) => {
-      const firstModel = result.data
-        ? controlNetModelsAdapter.getSelectors().selectAll(result.data)[0]
-        : undefined;
-      return {
-        firstModel,
-      };
-    },
-  });
+  const { data: controlnetModels } = useGetControlNetModelsQuery();
+
+  const firstModel = useMemo(() => {
+    if (!controlnetModels || !Object.keys(controlnetModels.entities).length) {
+      return undefined;
+    }
+    const firstModelId = Object.keys(controlnetModels.entities)[0];
+
+    if (!firstModelId) {
+      return undefined;
+    }
+
+    const firstModel = controlnetModels.entities[firstModelId];
+
+    return firstModel ? firstModel : undefined;
+  }, [controlnetModels]);
 
   const handleClickedAddControlNet = useCallback(() => {
     if (!firstModel) {

From 0420874f562ecb10f9744cb9d8315d2188412ed4 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 19 Sep 2023 14:59:44 -0400
Subject: [PATCH 207/265] reimplement the old invokeai-metadata command

---
 .../backend/image_util/invoke_metadata.py     | 46 +++++++++++++++++++
 pyproject.toml                                |  2 +-
 2 files changed, 47 insertions(+), 1 deletion(-)
 create mode 100644 invokeai/backend/image_util/invoke_metadata.py

diff --git a/invokeai/backend/image_util/invoke_metadata.py b/invokeai/backend/image_util/invoke_metadata.py
new file mode 100644
index 0000000000..424eba54c3
--- /dev/null
+++ b/invokeai/backend/image_util/invoke_metadata.py
@@ -0,0 +1,46 @@
+# Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Development Team
+
+"""Very simple functions to fetch and print metadata from InvokeAI-generated images."""
+
+import json
+import sys
+from pathlib import Path
+from typing import Any, Dict
+
+from PIL import Image
+
+
+def get_invokeai_metadata(image_path: Path) -> Dict[str, Any]:
+    """
+    Retrieve "invokeai_metadata" field from png image.
+
+    :param image_path: Path to the image to read metadata from.
+    May raise:
+      OSError -- image path not found
+      KeyError -- image doesn't contain the metadata field
+    """
+    image: Image = Image.open(image_path)
+    return json.loads(image.text["invokeai_metadata"])
+
+
+def print_invokeai_metadata(image_path: Path):
+    """Pretty-print the metadata."""
+    try:
+        metadata = get_invokeai_metadata(image_path)
+        print(f"{image_path}:\n{json.dumps(metadata, sort_keys=True, indent=4)}")
+    except OSError:
+        print(f"{image_path}:\nNo file found.")
+    except KeyError:
+        print(f"{image_path}:\nNo metadata found.")
+    print()
+
+
+def main():
+    """Run the command-line utility."""
+    image_paths = sys.argv[1:]
+    if not image_paths:
+        print(f"Usage: {Path(sys.argv[0]).name} image1 image2 image3 ...")
+        print("\nPretty-print InvokeAI image metadata from the listed png files.")
+        sys.exit(-1)
+    for img in image_paths:
+        print_invokeai_metadata(img)
diff --git a/pyproject.toml b/pyproject.toml
index 2ea5455c3d..6f68d5b362 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -142,7 +142,7 @@ dependencies = [
 "invokeai-model-install" = "invokeai.frontend.install.model_install:main"
 "invokeai-migrate3" = "invokeai.backend.install.migrate_to_3:main"
 "invokeai-update" = "invokeai.frontend.install.invokeai_update:main"
-"invokeai-metadata" = "invokeai.frontend.CLI.sd_metadata:print_metadata"
+"invokeai-metadata" = "invokeai.backend.image_util.invoke_metadata:main"
 "invokeai-node-cli" = "invokeai.app.cli_app:invoke_cli"
 "invokeai-node-web" = "invokeai.app.api_app:invoke_api"
 "invokeai-import-images" = "invokeai.frontend.install.import_images:main"

From 2d71f6f4b8152539993b03c0358afebca76ebdc2 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 19 Sep 2023 17:12:43 -0400
Subject: [PATCH 208/265] add documentation

---
 docs/features/index.md | 3 +++
 docs/index.md          | 1 +
 2 files changed, 4 insertions(+)

diff --git a/docs/features/index.md b/docs/features/index.md
index 490da5e31f..bd37366314 100644
--- a/docs/features/index.md
+++ b/docs/features/index.md
@@ -51,6 +51,9 @@ Prevent InvokeAI from displaying unwanted racy images.
 ### * [Controlling Logging](LOGGING.md)
 Control how InvokeAI logs status messages.
 
+### * [Command-line Utilities](UTILITIES.md)
+A list of the command-line utilities available with InvokeAI.
+
 <!-- OUT OF DATE
 ### * [Miscellaneous](OTHER.md)
 Run InvokeAI on Google Colab, generate images with repeating patterns,
diff --git a/docs/index.md b/docs/index.md
index 1190ea7caa..9a426e5684 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -147,6 +147,7 @@ Mac and Linux machines, and runs on GPU cards with as little as 4 GB of RAM.
 
 ### InvokeAI Configuration
 - [Guide to InvokeAI Runtime Settings](features/CONFIGURATION.md)
+- [Database Maintenance and other Command Line Utilities](features/UTILITIES.md)
 
 ## :octicons-log-16: Important Changes Since Version 2.3
 

From 7e706f02cb3fcda7f195f9362b2be649c325ebf0 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 20 Sep 2023 14:19:27 -0400
Subject: [PATCH 209/265] add missing UTILITIES.md

---
 docs/features/UTILITIES.md | 336 +++++++++++++++++++++++++++++++++++++
 1 file changed, 336 insertions(+)
 create mode 100644 docs/features/UTILITIES.md

diff --git a/docs/features/UTILITIES.md b/docs/features/UTILITIES.md
new file mode 100644
index 0000000000..a73118d55a
--- /dev/null
+++ b/docs/features/UTILITIES.md
@@ -0,0 +1,336 @@
+---
+title: Command-line Utilities
+---
+
+# :material-file-document: Utilities
+
+# Command-line Utilities
+
+InvokeAI comes with several scripts that are accessible via the
+command line. To access these commands, start the "developer's
+console" from the launcher (`invoke.bat` menu item [8]). Users who are
+familiar with Python can alternatively activate InvokeAI's virtual
+environment (typically, but not necessarily `invokeai/.venv`).
+
+In the developer's console, type the script's name to run it. To get a
+synopsis of what a utility does and the command-line arguments it
+accepts, pass it the `-h` argument, e.g.
+
+```bash
+invokeai-merge -h
+```
+## **invokeai-web**
+
+This script launches the web server and is effectively identical to
+selecting option [1] in the launcher. An advantage of launching the
+server from the command line is that you can override any setting
+configuration option in `invokeai.yaml` using like-named command-line
+arguments. For example, to temporarily change the size of the RAM
+cache to 7 GB, you can launch as follows:
+
+```bash
+invokeai-web --ram 7
+```
+
+## **invokeai-merge**
+
+This is the model merge script, the same as launcher option [4]. Call
+it with the `--gui` command-line argument to start the interactive
+console-based GUI. Alternatively, you can run it non-interactively
+using command-line arguments as illustrated in the example below which
+merges models named `stable-diffusion-1.5` and `inkdiffusion` into a new model named
+`my_new_model`:
+
+```bash
+invokeai-merge --force --base-model sd-1 --models stable-diffusion-1.5 inkdiffusion --merged_model_name my_new_model
+```
+
+## **invokeai-ti**
+
+This is the textual inversion training script that is run by launcher
+option [3]. Call it with `--gui` to run the interactive console-based
+front end. It can also be run non-interactively. It has about a
+zillion arguments, but a typical training session can be launched
+with:
+
+```bash
+invokeai-ti --model stable-diffusion-1.5 \
+            --placeholder_token 'jello' \
+            --learnable_property object \
+			--num_train_epochs 50 \
+			--train_data_dir /path/to/training/images \
+			--output_dir /path/to/trained/model
+```
+
+(Note that \\ is the Linux/Mac long-line continuation character. Use ^
+in Windows).
+
+## **invokeai-install**
+
+This is the console-based model install script that is run by launcher
+option [5]. If called without arguments, it will launch the
+interactive console-based interface. It can also be used
+non-interactively to list, add and remove models as shown by these
+examples:
+
+* This will download and install three models from CivitAI, HuggingFace,
+and local disk:
+
+```bash
+invokeai-install --add https://civitai.com/api/download/models/161302 ^
+                  gsdf/Counterfeit-V3.0  ^
+				  D:\Models\merge_model_two.safetensors
+```
+(Note that ^ is the Windows long-line continuation character. Use \\ on
+Linux/Mac).
+
+* This will list installed models of type `main`:
+
+```bash
+invokeai-model-install --list-models main
+```
+
+* This will delete the models named `voxel-ish` and `realisticVision`:
+
+```bash
+invokeai-model-install --delete voxel-ish realisticVision
+```
+
+## **invokeai-configure**
+
+This is the console-based configure script that ran when InvokeAI was
+first installed. You can run it again at any time to change the
+configuration, repair a broken install.
+
+Called without any arguments, `invokeai-configure` enters interactive
+mode with two screens. The first screen is a form that provides access
+to most of InvokeAI's configuration options. The second screen lets
+you download, add, and delete models interactively. When you exit the
+second screen, the script will add any missing "support models"
+needed for core functionality, and any selected "sd weights" which are
+the model checkpoint/diffusers files.
+
+This behavior can be changed via a series of command-line
+arguments. Here are some of the useful ones:
+
+* `invokeai-configure --skip-sd-weights --skip-support-models`
+This will run just the configuration part of the utility, skipping
+downloading of support models and stable diffusion weights.
+
+* `invokeai-configure --yes`
+This will run the configure script non-interactively. It will set the
+configuration options to their default values, install/repair support
+models, and download the "recommended" set of SD models.
+
+* `invokeai-configure --yes --default_only` 
+This will run the configure script non-interactively. In contrast to
+the previous command, it will only download the default SD model,
+Stable Diffusion v1.5
+
+* `invokeai-configure --yes --default_only --skip-sd-weights` 
+This is similar to the previous command, but will not download any
+SD models at all. It is usually used to repair a broken install.
+
+By default, `invokeai-configure` runs on the currently active InvokeAI
+root folder. To run it against a different root, pass it the `--root
+</path/to/root>` argument.
+
+Lastly, you can use `invokeai-configure` to create a working root
+directory entirely from scratch. Assuming you wish to make a root directory
+named `InvokeAI-New`, run this command:
+
+```bash
+invokeai-configure --root InvokeAI-New --yes --default_only
+```
+This will create a minimally functional root directory. You can now
+launch the web server against it with `invokeai-web --root InvokeAI-New`.
+
+## **invokeai-update**
+
+This is the interactive console-based script that is run by launcher
+menu item [9] to update to a new version of InvokeAI. It takes no
+command-line arguments.
+
+## **invokeai-metadata**
+
+This is a script which takes a list of InvokeAI-generated images and
+outputs their metadata in the same JSON format that you get from the
+`</>` button in the Web GUI. For example:
+
+```bash
+$ invokeai-metadata ffe2a115-b492-493c-afff-7679aa034b50.png
+ffe2a115-b492-493c-afff-7679aa034b50.png:
+{
+    "app_version": "3.1.0",
+    "cfg_scale": 8.0,
+    "clip_skip": 0,
+    "controlnets": [],
+    "generation_mode": "sdxl_txt2img",
+    "height": 1024,
+    "loras": [],
+    "model": {
+        "base_model": "sdxl",
+        "model_name": "stable-diffusion-xl-base-1.0",
+        "model_type": "main"
+    },
+    "negative_prompt": "",
+    "negative_style_prompt": "",
+    "positive_prompt": "military grade sushi dinner for shock troopers",
+    "positive_style_prompt": "",
+    "rand_device": "cpu",
+    "refiner_cfg_scale": 7.5,
+    "refiner_model": {
+        "base_model": "sdxl-refiner",
+        "model_name": "sd_xl_refiner_1.0",
+        "model_type": "main"
+    },
+    "refiner_negative_aesthetic_score": 2.5,
+    "refiner_positive_aesthetic_score": 6.0,
+    "refiner_scheduler": "euler",
+    "refiner_start": 0.8,
+    "refiner_steps": 20,
+    "scheduler": "euler",
+    "seed": 387129902,
+    "steps": 25,
+    "width": 1024
+}
+```
+
+You may list multiple files on the command line.
+
+## **invokeai-import-images**
+
+InvokeAI uses a database to store information about images it
+generated, and just copying the image files from one InvokeAI root
+directory to another does not automatically import those images into
+the destination's gallery. This script allows you to bulk import
+images generated by one instance of InvokeAI into a gallery maintained
+by another. It also works on images generated by older versions of
+InvokeAI, going way back to version 1.
+
+This script has an interactive mode only. The following example shows
+it in action:
+
+```bash
+$ invokeai-import-images
+===============================================================================
+This script will import images generated by earlier versions of
+InvokeAI into the currently installed root directory:
+   /home/XXXX/invokeai-main
+If this is not what you want to do, type ctrl-C now to cancel.
+===============================================================================
+= Configuration & Settings
+Found invokeai.yaml file at /home/XXXX/invokeai-main/invokeai.yaml:
+  Database : /home/XXXX/invokeai-main/databases/invokeai.db
+  Outputs  : /home/XXXX/invokeai-main/outputs/images
+ 
+Use these paths for import (yes) or choose different ones (no) [Yn]:
+Inputs: Specify absolute path containing InvokeAI .png images to import: /home/XXXX/invokeai-2.3/outputs/images/
+Include files from subfolders recursively [yN]?
+
+Options for board selection for imported images:
+1) Select an existing board name. (found 4)
+2) Specify a board name to create/add to.
+3) Create/add to board named 'IMPORT'.
+4) Create/add to board named 'IMPORT' with the current datetime string appended (.e.g IMPORT_20230919T203519Z).
+5) Create/add to board named 'IMPORT' with a the original file app_version appended (.e.g IMPORT_2.2.5).
+Specify desired board option: 3
+
+===============================================================================
+= Import Settings Confirmation
+
+Database File Path               : /home/XXXX/invokeai-main/databases/invokeai.db
+Outputs/Images Directory         : /home/XXXX/invokeai-main/outputs/images
+Import Image Source Directory    : /home/XXXX/invokeai-2.3/outputs/images/
+  Recurse Source SubDirectories  : No
+Count of .png file(s) found      : 5785
+Board name option specified      : IMPORT
+Database backup will be taken at : /home/XXXX/invokeai-main/databases/backup
+
+Notes about the import process:
+- Source image files will not be modified, only copied to the outputs directory.
+- If the same file name already exists in the destination, the file will be skipped.
+- If the same file name already has a record in the database, the file will be skipped.
+- Invoke AI metadata tags will be updated/written into the imported copy only.
+- On the imported copy, only Invoke AI known tags (latest and legacy) will be retained (dream, sd-metadata, invokeai, invokeai_metadata)
+- A property 'imported_app_version' will be added to metadata that can be viewed in the UI's metadata viewer.
+- The new 3.x InvokeAI outputs folder structure is flat so recursively found source imges will all be placed into the single outputs/images folder.
+ 
+Do you wish to continue with the import [Yn] ?
+
+Making DB Backup at /home/lstein/invokeai-main/databases/backup/backup-20230919T203519Z-invokeai.db...Done!
+
+===============================================================================
+Importing /home/XXXX/invokeai-2.3/outputs/images/17d09907-297d-4db3-a18a-60b337feac66.png
+... (5785 more lines) ...
+===============================================================================
+= Import Complete - Elpased Time: 0.28 second(s)
+
+Source File(s)                          : 5785
+Total Imported                          : 5783
+Skipped b/c file already exists on disk : 1
+Skipped b/c file already exists in db   : 0
+Errors during import                    : 1
+```
+## **invokeai-db-maintenance**
+
+This script helps maintain the integrity of your InvokeAI database by
+finding and fixing three problems that can arise over time:
+
+1. An image was manually deleted from the outputs directory, leaving a
+   dangling image record in the InvokeAI database. This will cause a
+   black image to appear in the gallery. This is an "orphaned database
+   image record." The script can fix this by running a "clean"
+   operation on the database, removing the orphaned entries.
+   
+2. An image is present in the outputs directory but there is no
+   corresponding entry in the database. This can happen when the image
+   is added manually to the outputs directory, or if a crash occurred
+   after the image was generated but before the database was
+   completely updated. The symptom is that the image is present in the
+   outputs folder but doesn't appear in the InvokeAI gallery. This is
+   called an "orphaned image file." The script can fix this problem by
+   running an "archive" operation in which orphaned files are moved
+   into a directory named `outputs/images-archive`. If you wish, you
+   can then run `invokeai-image-import` to reimport these images back
+   into the database.
+   
+3. The thumbnail for an image is missing, again causing a black
+   gallery thumbnail. This is fixed by running the "thumbnaiils"
+   operation, which simply regenerates and re-registers the missing
+   thumbnail.
+   
+You can find and fix all three of these problems in a single go by
+executing this command:
+
+```bash
+invokeai-db-maintenance --operation all
+```
+
+Or you can run just the clean and thumbnail operations like this:
+
+```bash
+invokeai-db-maintenance -operation clean, thumbnail
+```
+
+If called without any arguments, the script will ask you which
+operations you wish to perform.
+
+## **invokeai-migrate3**
+
+This script will migrate settings and models (but not images!) from an
+InvokeAI v2.3 root folder to an InvokeAI 3.X folder. Call it with the
+source and destination root folders like this:
+
+```bash
+invokeai-migrate3 --from ~/invokeai-2.3 --to invokeai-3.1.1
+```
+
+Both directories must previously have been properly created and
+initialized by `invokeai-configure`. If you wish to migrate the images
+contained in the older root as well, you can use the
+`invokeai-image-migrate` script described earlier.
+
+---
+
+Copyright (c) 2023, Lincoln Stein and the InvokeAI Development Team

From e0f8274f490dac8fb7209ed67f330fce0178973a Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Wed, 20 Sep 2023 12:03:15 -0700
Subject: [PATCH 210/265] feat(model management): guess whether a VAE is for
 SDXL based on its name

---
 .../backend/model_management/model_probe.py   | 27 +++++++++++++++----
 1 file changed, 22 insertions(+), 5 deletions(-)

diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 358ba4f29d..c15d338ba0 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -1,4 +1,5 @@
 import json
+import re
 from dataclasses import dataclass
 from pathlib import Path
 from typing import Callable, Dict, Literal, Optional, Union
@@ -469,16 +470,32 @@ class PipelineFolderProbe(FolderProbeBase):
 
 class VaeFolderProbe(FolderProbeBase):
     def get_base_type(self) -> BaseModelType:
+        if self._config_looks_like_sdxl():
+            return BaseModelType.StableDiffusionXL
+        elif self._name_looks_like_sdxl():
+            # but SD and SDXL VAE are the same shape (3-channel RGB to 4-channel float scaled down
+            # by a factor of 8), necessarily tell them apart by config hyperparameters.
+            return BaseModelType.StableDiffusionXL
+        else:
+            return BaseModelType.StableDiffusion1
+
+    def _config_looks_like_sdxl(self) -> bool:
+        # config values that distinguish Stability's SD 1.x VAE from their SDXL VAE.
         config_file = self.folder_path / "config.json"
         if not config_file.exists():
             raise InvalidModelException(f"Cannot determine base type for {self.folder_path}")
         with open(config_file, "r") as file:
             config = json.load(file)
-        return (
-            BaseModelType.StableDiffusionXL
-            if config.get("scaling_factor", 0) == 0.13025 and config.get("sample_size") in [512, 1024]
-            else BaseModelType.StableDiffusion1
-        )
+        return config.get("scaling_factor", 0) == 0.13025 and config.get("sample_size") in [512, 1024]
+
+    def _name_looks_like_sdxl(self) -> bool:
+        return bool(re.search(r"xl\b", self._guess_name(), re.IGNORECASE))
+
+    def _guess_name(self) -> str:
+        name = self.folder_path.name
+        if name == "vae":
+            name = self.folder_path.parent.name
+        return name
 
 
 class TextualInversionFolderProbe(FolderProbeBase):

From e487bcd0f7aa59a3d4b1deca19dcc04e7a6b45e9 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Wed, 20 Sep 2023 12:07:12 -0700
Subject: [PATCH 211/265] feat(model management): guess whether a VAE is for
 SDXL based on its name

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

diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index c15d338ba0..1fc4a51354 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -474,7 +474,7 @@ class VaeFolderProbe(FolderProbeBase):
             return BaseModelType.StableDiffusionXL
         elif self._name_looks_like_sdxl():
             # but SD and SDXL VAE are the same shape (3-channel RGB to 4-channel float scaled down
-            # by a factor of 8), necessarily tell them apart by config hyperparameters.
+            # by a factor of 8), we can't necessarily tell them apart by config hyperparameters.
             return BaseModelType.StableDiffusionXL
         else:
             return BaseModelType.StableDiffusion1

From d066bc6d1970800cad63e212815049ea443b37a4 Mon Sep 17 00:00:00 2001
From: Jennifer Player <chainchompa@gmail.com>
Date: Wed, 20 Sep 2023 15:44:15 -0400
Subject: [PATCH 212/265] wrap control net button with div to add width

---
 .../ParamControlNetFeatureToggle.tsx          | 20 +++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
index 1902d622ff..34f805de54 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
@@ -1,3 +1,4 @@
+import { Box } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
@@ -26,16 +27,15 @@ const ParamControlNetFeatureToggle = () => {
   }, [dispatch]);
 
   return (
-    <IAIInformationalPopover details="controlNetToggle">
-      <IAISwitch
-        label="Enable ControlNet"
-        isChecked={isEnabled}
-        onChange={handleChange}
-        formControlProps={{
-          width: '100%',
-        }}
-      />
-    </IAIInformationalPopover>
+    <Box width="100%">
+      <IAIInformationalPopover details="controlNetToggle">
+        <IAISwitch
+          label="Enable ControlNet"
+          isChecked={isEnabled}
+          onChange={handleChange}
+        />
+      </IAIInformationalPopover>
+    </Box>
   );
 };
 

From 2c39aec22dc3b36611ef29e69a374fb016c43b8d Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Wed, 20 Sep 2023 12:48:59 -0700
Subject: [PATCH 213/265] test(model management): test VaeFolderProbe

---
 tests/test_model_probe.py                     | 19 ++++++++++
 .../vae/sd-vae-ft-mse/config.json             | 29 +++++++++++++++
 .../test_model_probe/vae/sdxl-vae/config.json | 31 ++++++++++++++++
 tests/test_model_probe/vae/taesd/config.json  | 37 +++++++++++++++++++
 .../test_model_probe/vae/taesdxl/config.json  | 37 +++++++++++++++++++
 5 files changed, 153 insertions(+)
 create mode 100644 tests/test_model_probe.py
 create mode 100644 tests/test_model_probe/vae/sd-vae-ft-mse/config.json
 create mode 100644 tests/test_model_probe/vae/sdxl-vae/config.json
 create mode 100644 tests/test_model_probe/vae/taesd/config.json
 create mode 100644 tests/test_model_probe/vae/taesdxl/config.json

diff --git a/tests/test_model_probe.py b/tests/test_model_probe.py
new file mode 100644
index 0000000000..e0f2cff4e5
--- /dev/null
+++ b/tests/test_model_probe.py
@@ -0,0 +1,19 @@
+from pathlib import Path
+
+import pytest
+
+from invokeai.backend import BaseModelType
+from invokeai.backend.model_management.model_probe import VaeFolderProbe
+
+
+@pytest.mark.parametrize("vae_path,expected_type", [
+    ("sd-vae-ft-mse", BaseModelType.StableDiffusion1),
+    ("sdxl-vae", BaseModelType.StableDiffusionXL),
+    ("taesd", BaseModelType.StableDiffusion1),
+    ("taesdxl", BaseModelType.StableDiffusionXL)
+])
+def test_get_base_type(vae_path: str, expected_type: BaseModelType, datadir: Path):
+    sd1_vae_path = datadir / "vae" / vae_path
+    probe = VaeFolderProbe(sd1_vae_path)
+    base_type = probe.get_base_type()
+    assert base_type == expected_type
diff --git a/tests/test_model_probe/vae/sd-vae-ft-mse/config.json b/tests/test_model_probe/vae/sd-vae-ft-mse/config.json
new file mode 100644
index 0000000000..0db2671757
--- /dev/null
+++ b/tests/test_model_probe/vae/sd-vae-ft-mse/config.json
@@ -0,0 +1,29 @@
+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.4.2",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "in_channels": 3,
+  "latent_channels": 4,
+  "layers_per_block": 2,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 256,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ]
+}
diff --git a/tests/test_model_probe/vae/sdxl-vae/config.json b/tests/test_model_probe/vae/sdxl-vae/config.json
new file mode 100644
index 0000000000..2c7267b492
--- /dev/null
+++ b/tests/test_model_probe/vae/sdxl-vae/config.json
@@ -0,0 +1,31 @@
+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.18.0.dev0",
+  "_name_or_path": ".",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "in_channels": 3,
+  "latent_channels": 4,
+  "layers_per_block": 2,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 1024,
+  "scaling_factor": 0.13025,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ]
+}
diff --git a/tests/test_model_probe/vae/taesd/config.json b/tests/test_model_probe/vae/taesd/config.json
new file mode 100644
index 0000000000..62f01c3eb4
--- /dev/null
+++ b/tests/test_model_probe/vae/taesd/config.json
@@ -0,0 +1,37 @@
+{
+  "_class_name": "AutoencoderTiny",
+  "_diffusers_version": "0.20.0.dev0",
+  "act_fn": "relu",
+  "decoder_block_out_channels": [
+    64,
+    64,
+    64,
+    64
+  ],
+  "encoder_block_out_channels": [
+    64,
+    64,
+    64,
+    64
+  ],
+  "force_upcast": false,
+  "in_channels": 3,
+  "latent_channels": 4,
+  "latent_magnitude": 3,
+  "latent_shift": 0.5,
+  "num_decoder_blocks": [
+    3,
+    3,
+    3,
+    1
+  ],
+  "num_encoder_blocks": [
+    1,
+    3,
+    3,
+    3
+  ],
+  "out_channels": 3,
+  "scaling_factor": 1.0,
+  "upsampling_scaling_factor": 2
+}
diff --git a/tests/test_model_probe/vae/taesdxl/config.json b/tests/test_model_probe/vae/taesdxl/config.json
new file mode 100644
index 0000000000..62f01c3eb4
--- /dev/null
+++ b/tests/test_model_probe/vae/taesdxl/config.json
@@ -0,0 +1,37 @@
+{
+  "_class_name": "AutoencoderTiny",
+  "_diffusers_version": "0.20.0.dev0",
+  "act_fn": "relu",
+  "decoder_block_out_channels": [
+    64,
+    64,
+    64,
+    64
+  ],
+  "encoder_block_out_channels": [
+    64,
+    64,
+    64,
+    64
+  ],
+  "force_upcast": false,
+  "in_channels": 3,
+  "latent_channels": 4,
+  "latent_magnitude": 3,
+  "latent_shift": 0.5,
+  "num_decoder_blocks": [
+    3,
+    3,
+    3,
+    1
+  ],
+  "num_encoder_blocks": [
+    1,
+    3,
+    3,
+    3
+  ],
+  "out_channels": 3,
+  "scaling_factor": 1.0,
+  "upsampling_scaling_factor": 2
+}

From 639209896188e610ca6c286dceed8d8d5347bbc7 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Wed, 20 Sep 2023 12:53:25 -0700
Subject: [PATCH 214/265] lint

---
 tests/test_model_probe.py | 15 +++++++++------
 1 file changed, 9 insertions(+), 6 deletions(-)

diff --git a/tests/test_model_probe.py b/tests/test_model_probe.py
index e0f2cff4e5..248b7d602f 100644
--- a/tests/test_model_probe.py
+++ b/tests/test_model_probe.py
@@ -6,12 +6,15 @@ from invokeai.backend import BaseModelType
 from invokeai.backend.model_management.model_probe import VaeFolderProbe
 
 
-@pytest.mark.parametrize("vae_path,expected_type", [
-    ("sd-vae-ft-mse", BaseModelType.StableDiffusion1),
-    ("sdxl-vae", BaseModelType.StableDiffusionXL),
-    ("taesd", BaseModelType.StableDiffusion1),
-    ("taesdxl", BaseModelType.StableDiffusionXL)
-])
+@pytest.mark.parametrize(
+    "vae_path,expected_type",
+    [
+        ("sd-vae-ft-mse", BaseModelType.StableDiffusion1),
+        ("sdxl-vae", BaseModelType.StableDiffusionXL),
+        ("taesd", BaseModelType.StableDiffusion1),
+        ("taesdxl", BaseModelType.StableDiffusionXL),
+    ],
+)
 def test_get_base_type(vae_path: str, expected_type: BaseModelType, datadir: Path):
     sd1_vae_path = datadir / "vae" / vae_path
     probe = VaeFolderProbe(sd1_vae_path)

From 8ce9b6c51eb11c532d9428b99c8dc4720d9cc82c Mon Sep 17 00:00:00 2001
From: "Alexandre D. Roberge" <4276275+AldeRoberge@users.noreply.github.com>
Date: Wed, 20 Sep 2023 17:33:04 -0400
Subject: [PATCH 215/265] Update CONFIGURATION.md

Fixed typo missing backtick
---
 docs/features/CONFIGURATION.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/features/CONFIGURATION.md b/docs/features/CONFIGURATION.md
index 6920d3d97f..cfd65f8a61 100644
--- a/docs/features/CONFIGURATION.md
+++ b/docs/features/CONFIGURATION.md
@@ -159,7 +159,7 @@ groups in `invokeia.yaml`:
 | `host`     | `localhost`      | Name or IP address of the network interface that the web server will listen on  |
 | `port`     | `9090`           | Network port number that the web server will listen on  |
 | `allow_origins`  | `[]`       | A list of host names or IP addresses that are allowed to connect to the InvokeAI API in the format `['host1','host2',...]` |
-| `allow_credentials | `true`   | Require credentials for a foreign host to access the InvokeAI API (don't change this) |
+| `allow_credentials` | `true`   | Require credentials for a foreign host to access the InvokeAI API (don't change this) |
 | `allow_methods` | `*`         | List of HTTP methods ("GET", "POST") that the web server is allowed to use when accessing the API  |
 | `allow_headers` | `*`         | List of HTTP headers that the web server will accept when accessing the API  |
 

From 21de74fac4cc9488a1b336d193a102e3544a018d Mon Sep 17 00:00:00 2001
From: Jennifer Player <chainchompa@gmail.com>
Date: Wed, 20 Sep 2023 17:43:22 -0400
Subject: [PATCH 216/265] set default for informational popups to be disabled

---
 .../components/IAIInformationalPopover.tsx    |  6 ++--
 .../BoundingBox/ParamBoundingBoxSize.tsx      | 32 ++++++++++---------
 .../components/Parameters/Core/ParamSize.tsx  | 31 +++++++++---------
 .../SettingsModal/SettingsModal.tsx           | 14 ++++----
 .../src/features/system/store/systemSlice.ts  |  8 ++---
 .../web/src/features/system/store/types.ts    |  2 +-
 6 files changed, 48 insertions(+), 45 deletions(-)

diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
index bbfccf7c0d..876ce6488a 100644
--- a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
@@ -32,15 +32,15 @@ function IAIInformationalPopover({
   children,
   placement,
 }: Props): JSX.Element {
-  const shouldDisableInformationalPopovers = useAppSelector(
-    (state) => state.system.shouldDisableInformationalPopovers
+  const shouldEnableInformationalPopovers = useAppSelector(
+    (state) => state.system.shouldEnableInformationalPopovers
   );
   const { t } = useTranslation();
 
   const heading = t(`popovers.${details}.heading`);
   const paragraph = t(`popovers.${details}.paragraph`);
 
-  if (shouldDisableInformationalPopovers) {
+  if (!shouldEnableInformationalPopovers) {
     return children;
   } else {
     return (
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx
index a3eb428526..52d3dfc1ba 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx
@@ -1,4 +1,4 @@
-import { Flex, Spacer, Text } from '@chakra-ui/react';
+import { Box, Flex, Spacer, Text } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
@@ -94,20 +94,22 @@ export default function ParamBoundingBoxSize() {
       }}
     >
       <Flex alignItems="center" gap={2}>
-        <IAIInformationalPopover details="paramRatio">
-          <Text
-            sx={{
-              fontSize: 'sm',
-              width: 'full',
-              color: 'base.700',
-              _dark: {
-                color: 'base.300',
-              },
-            }}
-          >
-            {t('parameters.aspectRatio')}
-          </Text>
-        </IAIInformationalPopover>
+        <Box width="full">
+          <IAIInformationalPopover details="paramRatio">
+            <Text
+              sx={{
+                fontSize: 'sm',
+                width: 'full',
+                color: 'base.700',
+                _dark: {
+                  color: 'base.300',
+                },
+              }}
+            >
+              {t('parameters.aspectRatio')}
+            </Text>
+          </IAIInformationalPopover>
+        </Box>
         <Spacer />
         <ParamAspectRatio />
         <IAIIconButton
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
index c7ddd59559..94ed136314 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
@@ -1,4 +1,4 @@
-import { Flex, Spacer, Text } from '@chakra-ui/react';
+import { Box, Flex, Spacer, Text } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
@@ -84,20 +84,21 @@ export default function ParamSize() {
       }}
     >
       <Flex alignItems="center" gap={2}>
-        <IAIInformationalPopover details="paramRatio">
-          <Text
-            sx={{
-              fontSize: 'sm',
-              width: 'full',
-              color: 'base.700',
-              _dark: {
-                color: 'base.300',
-              },
-            }}
-          >
-            {t('parameters.aspectRatio')}
-          </Text>
-        </IAIInformationalPopover>
+        <Box width="full">
+          <IAIInformationalPopover details="paramRatio">
+            <Text
+              sx={{
+                fontSize: 'sm',
+                color: 'base.700',
+                _dark: {
+                  color: 'base.300',
+                },
+              }}
+            >
+              {t('parameters.aspectRatio')}
+            </Text>
+          </IAIInformationalPopover>
+        </Box>
         <Spacer />
         <ParamAspectRatio />
         <IAIIconButton
diff --git a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
index 0a50f9ad7f..383e3558b0 100644
--- a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
+++ b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
@@ -23,7 +23,7 @@ import {
   consoleLogLevelChanged,
   setEnableImageDebugging,
   setShouldConfirmOnDelete,
-  setShouldDisableInformationalPopovers,
+  setShouldEnableInformationalPopovers,
   shouldAntialiasProgressImageChanged,
   shouldLogToConsoleChanged,
   shouldUseNSFWCheckerChanged,
@@ -67,7 +67,7 @@ const selector = createSelector(
       shouldAntialiasProgressImage,
       shouldUseNSFWChecker,
       shouldUseWatermarker,
-      shouldDisableInformationalPopovers,
+      shouldEnableInformationalPopovers,
     } = system;
 
     const {
@@ -87,7 +87,7 @@ const selector = createSelector(
       shouldUseNSFWChecker,
       shouldUseWatermarker,
       shouldAutoChangeDimensions,
-      shouldDisableInformationalPopovers,
+      shouldEnableInformationalPopovers,
     };
   },
   {
@@ -161,7 +161,7 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
     shouldUseNSFWChecker,
     shouldUseWatermarker,
     shouldAutoChangeDimensions,
-    shouldDisableInformationalPopovers,
+    shouldEnableInformationalPopovers,
   } = useAppSelector(selector);
 
   const handleClickResetWebUI = useCallback(() => {
@@ -312,11 +312,11 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
                   />
                 )}
                 <SettingSwitch
-                  label="Disable informational popovers"
-                  isChecked={shouldDisableInformationalPopovers}
+                  label="Enable informational popovers"
+                  isChecked={shouldEnableInformationalPopovers}
                   onChange={(e: ChangeEvent<HTMLInputElement>) =>
                     dispatch(
-                      setShouldDisableInformationalPopovers(e.target.checked)
+                      setShouldEnableInformationalPopovers(e.target.checked)
                     )
                   }
                 />
diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index c74ab87dcf..1fb50562c4 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -35,7 +35,7 @@ export const initialSystemState: SystemState = {
   language: 'en',
   shouldUseNSFWChecker: false,
   shouldUseWatermarker: false,
-  shouldDisableInformationalPopovers: false,
+  shouldEnableInformationalPopovers: false,
   status: 'DISCONNECTED',
 };
 
@@ -76,11 +76,11 @@ export const systemSlice = createSlice({
     shouldUseWatermarkerChanged(state, action: PayloadAction<boolean>) {
       state.shouldUseWatermarker = action.payload;
     },
-    setShouldDisableInformationalPopovers(
+    setShouldEnableInformationalPopovers(
       state,
       action: PayloadAction<boolean>
     ) {
-      state.shouldDisableInformationalPopovers = action.payload;
+      state.shouldEnableInformationalPopovers = action.payload;
     },
   },
   extraReducers(builder) {
@@ -241,7 +241,7 @@ export const {
   languageChanged,
   shouldUseNSFWCheckerChanged,
   shouldUseWatermarkerChanged,
-  setShouldDisableInformationalPopovers,
+  setShouldEnableInformationalPopovers,
 } = systemSlice.actions;
 
 export default systemSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/system/store/types.ts b/invokeai/frontend/web/src/features/system/store/types.ts
index 29bc836dae..5b83e35d22 100644
--- a/invokeai/frontend/web/src/features/system/store/types.ts
+++ b/invokeai/frontend/web/src/features/system/store/types.ts
@@ -33,7 +33,7 @@ export interface SystemState {
   shouldUseNSFWChecker: boolean;
   shouldUseWatermarker: boolean;
   status: SystemStatus;
-  shouldDisableInformationalPopovers: boolean;
+  shouldEnableInformationalPopovers: boolean;
 }
 
 export const LANGUAGES = {

From 0960518088002e618ef0cd1182084ec35022f36f Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 19 Sep 2023 00:08:00 -0400
Subject: [PATCH 217/265] add techjedi's database maintenance script

---
 installer/templates/invoke.bat.in       |  10 +-
 installer/templates/invoke.sh.in        |  18 +-
 invokeai/backend/util/db_maintenance.py | 568 ++++++++++++++++++++++++
 pyproject.toml                          |   1 +
 4 files changed, 587 insertions(+), 10 deletions(-)
 create mode 100644 invokeai/backend/util/db_maintenance.py

diff --git a/installer/templates/invoke.bat.in b/installer/templates/invoke.bat.in
index f99228fe4d..227091b33a 100644
--- a/installer/templates/invoke.bat.in
+++ b/installer/templates/invoke.bat.in
@@ -17,9 +17,10 @@ echo 6. Change InvokeAI startup options
 echo 7. Re-run the configure script to fix a broken install or to complete a major upgrade
 echo 8. Open the developer console
 echo 9. Update InvokeAI
-echo 10. Command-line help
+echo 10. Run the InvokeAI image database maintenance script
+echo 11. Command-line help
 echo Q - Quit
-set /P choice="Please enter 1-10, Q: [1] "
+set /P choice="Please enter 1-11, Q: [1] "
 if not defined choice set choice=1
 IF /I "%choice%" == "1" (
     echo Starting the InvokeAI browser-based UI..
@@ -58,8 +59,11 @@ IF /I "%choice%" == "1" (
    echo Running invokeai-update...
    python -m invokeai.frontend.install.invokeai_update
 ) ELSE IF /I "%choice%" == "10" (
+   echo Running the db maintenance script...
+   python .venv\Scripts\invokeai-db-maintenance.exe
+) ELSE IF /I "%choice%" == "11" (
     echo Displaying command line help...
-    python .venv\Scripts\invokeai.exe --help %*
+    python .venv\Scripts\invokeai-web.exe --help %*
     pause
     exit /b
 ) ELSE IF /I "%choice%" == "q" (
diff --git a/installer/templates/invoke.sh.in b/installer/templates/invoke.sh.in
index 991281f04c..f7fb8e4366 100644
--- a/installer/templates/invoke.sh.in
+++ b/installer/templates/invoke.sh.in
@@ -97,13 +97,13 @@ do_choice() {
         ;;
     10)
         clear
-        printf "Command-line help\n"
-        invokeai --help
+        printf "Running the db maintenance script\n"
+        invokeai-db-maintenance --root ${INVOKEAI_ROOT}
         ;;
-    "HELP 1")
+    11)
         clear
         printf "Command-line help\n"
-        invokeai --help
+        invokeai-web --help
         ;;
     *)
         clear
@@ -125,7 +125,10 @@ do_dialog() {
         6 "Change InvokeAI startup options"
         7 "Re-run the configure script to fix a broken install or to complete a major upgrade"
         8 "Open the developer console"
-        9 "Update InvokeAI")
+        9 "Update InvokeAI"
+	10 "Run the InvokeAI image database maintenance script"
+	11 "Command-line help"
+    )
 
     choice=$(dialog --clear \
         --backtitle "\Zb\Zu\Z3InvokeAI" \
@@ -157,9 +160,10 @@ do_line_input() {
     printf "7: Re-run the configure script to fix a broken install\n"
     printf "8: Open the developer console\n"
     printf "9: Update InvokeAI\n"
-    printf "10: Command-line help\n"
+    printf "10: Run the InvokeAI image database maintenance script\n"
+    printf "11: Command-line help\n"
     printf "Q: Quit\n\n"
-    read -p "Please enter 1-10, Q: [1] " yn
+    read -p "Please enter 1-11, Q: [1] " yn
     choice=${yn:='1'}
     do_choice $choice
     clear
diff --git a/invokeai/backend/util/db_maintenance.py b/invokeai/backend/util/db_maintenance.py
new file mode 100644
index 0000000000..d5f6200ad9
--- /dev/null
+++ b/invokeai/backend/util/db_maintenance.py
@@ -0,0 +1,568 @@
+# pylint: disable=line-too-long
+# pylint: disable=broad-exception-caught
+# pylint: disable=missing-function-docstring
+"""Script to peform db maintenance and outputs directory management."""
+
+import argparse
+import datetime
+import enum
+import glob
+import locale
+import os
+import shutil
+import sqlite3
+from pathlib import Path
+
+import PIL
+import PIL.ImageOps
+import PIL.PngImagePlugin
+import yaml
+
+
+class ConfigMapper:
+    """Configuration loader."""
+
+    def __init__(self):  # noqa D107
+        pass
+
+    TIMESTAMP_STRING = datetime.datetime.utcnow().strftime("%Y%m%dT%H%M%SZ")
+
+    INVOKE_DIRNAME = "invokeai"
+    YAML_FILENAME = "invokeai.yaml"
+    DATABASE_FILENAME = "invokeai.db"
+
+    database_path = None
+    database_backup_dir = None
+    outputs_path = None
+    archive_path = None
+    thumbnails_path = None
+    thumbnails_archive_path = None
+
+    def load(self):
+        """Read paths from yaml config and validate."""
+        root = "."
+
+        if not self.__load_from_root_config(os.path.abspath(root)):
+            return False
+
+        return True
+
+    def __load_from_root_config(self, invoke_root):
+        """Validate a yaml path exists, confirm the user wants to use it and load config."""
+        yaml_path = os.path.join(invoke_root, self.YAML_FILENAME)
+        if os.path.exists(yaml_path):
+            db_dir, outdir = self.__load_paths_from_yaml_file(yaml_path)
+
+            if db_dir is None or outdir is None:
+                print("The invokeai.yaml file was found but is missing the db_dir and/or outdir setting!")
+                return False
+
+            if os.path.isabs(db_dir):
+                self.database_path = os.path.join(db_dir, self.DATABASE_FILENAME)
+            else:
+                self.database_path = os.path.join(invoke_root, db_dir, self.DATABASE_FILENAME)
+
+            self.database_backup_dir = os.path.join(os.path.dirname(self.database_path), "backup")
+
+            if os.path.isabs(outdir):
+                self.outputs_path = os.path.join(outdir, "images")
+                self.archive_path = os.path.join(outdir, "images-archive")
+            else:
+                self.outputs_path = os.path.join(invoke_root, outdir, "images")
+                self.archive_path = os.path.join(invoke_root, outdir, "images-archive")
+
+            self.thumbnails_path = os.path.join(self.outputs_path, "thumbnails")
+            self.thumbnails_archive_path = os.path.join(self.archive_path, "thumbnails")
+
+            db_exists = os.path.exists(self.database_path)
+            outdir_exists = os.path.exists(self.outputs_path)
+
+            text = f"Found {self.YAML_FILENAME} file at {yaml_path}:"
+            text += f"\n  Database : {self.database_path} - {'Exists!' if db_exists else 'Not Found!'}"
+            text += f"\n  Outputs  : {self.outputs_path}- {'Exists!' if outdir_exists else 'Not Found!'}"
+            print(text)
+
+            if db_exists and outdir_exists:
+                return True
+            else:
+                print(
+                    "\nOne or more paths specified in invoke.yaml do not exist. Please inspect/correct the configuration and ensure the script is run in the developer console mode (option 8) from an Invoke AI root directory."
+                )
+                return False
+        else:
+            print(
+                f"Auto-discovery of configuration failed! Could not find ({yaml_path})!\n\nPlease ensure the script is run in the developer console mode (option 8) from an Invoke AI root directory."
+            )
+            return False
+
+    def __load_paths_from_yaml_file(self, yaml_path):
+        """Load an Invoke AI yaml file and get the database and outputs paths."""
+        try:
+            with open(yaml_path, "rt", encoding=locale.getpreferredencoding()) as file:
+                yamlinfo = yaml.safe_load(file)
+                db_dir = yamlinfo.get("InvokeAI", {}).get("Paths", {}).get("db_dir", None)
+                outdir = yamlinfo.get("InvokeAI", {}).get("Paths", {}).get("outdir", None)
+                return db_dir, outdir
+        except Exception:
+            print(f"Failed to load paths from yaml file! {yaml_path}!")
+            return None, None
+
+
+class MaintenanceStats:
+    """DTO for tracking work progress."""
+
+    def __init__(self):  # noqa D107
+        pass
+
+    time_start = datetime.datetime.utcnow()
+    count_orphaned_db_entries_cleaned = 0
+    count_orphaned_disk_files_cleaned = 0
+    count_orphaned_thumbnails_cleaned = 0
+    count_thumbnails_regenerated = 0
+    count_errors = 0
+
+    @staticmethod
+    def get_elapsed_time_string():
+        """Get a friendly time string for the  time elapsed since processing start."""
+        time_now = datetime.datetime.utcnow()
+        total_seconds = (time_now - MaintenanceStats.time_start).total_seconds()
+        hours = int((total_seconds) / 3600)
+        minutes = int(((total_seconds) % 3600) / 60)
+        seconds = total_seconds % 60
+        out_str = f"{hours} hour(s) -" if hours > 0 else ""
+        out_str += f"{minutes} minute(s) -" if minutes > 0 else ""
+        out_str += f"{seconds:.2f} second(s)"
+        return out_str
+
+
+class DatabaseMapper:
+    """Class to abstract database functionality."""
+
+    def __init__(self, database_path, database_backup_dir):  # noqa D107
+        self.database_path = database_path
+        self.database_backup_dir = database_backup_dir
+        self.connection = None
+        self.cursor = None
+
+    def backup(self, timestamp_string):
+        """Take a backup of the database."""
+        if not os.path.exists(self.database_backup_dir):
+            print(f"Database backup directory {self.database_backup_dir} does not exist -> creating...", end="")
+            os.makedirs(self.database_backup_dir)
+            print("Done!")
+        database_backup_path = os.path.join(self.database_backup_dir, f"backup-{timestamp_string}-invokeai.db")
+        print(f"Making DB Backup at {database_backup_path}...", end="")
+        shutil.copy2(self.database_path, database_backup_path)
+        print("Done!")
+
+    def connect(self):
+        """Open connection to the database."""
+        self.connection = sqlite3.connect(self.database_path)
+        self.cursor = self.connection.cursor()
+
+    def get_all_image_files(self):
+        """Get the full list of image file names from the database."""
+        sql_get_image_by_name = "SELECT image_name FROM images"
+        self.cursor.execute(sql_get_image_by_name)
+        rows = self.cursor.fetchall()
+        db_files = []
+        for row in rows:
+            db_files.append(row[0])
+        return db_files
+
+    def remove_image_file_record(self, filename: str):
+        """Remove an image file reference from the database by filename."""
+        sanitized_filename = str.replace(filename, "'", "''")  # prevent injection
+        sql_command = f"DELETE FROM images WHERE image_name='{sanitized_filename}'"
+        self.cursor.execute(sql_command)
+        self.connection.commit()
+
+    def does_image_exist(self, image_filename):
+        """Check database if a image name already exists and return a boolean."""
+        sanitized_filename = str.replace(image_filename, "'", "''")  # prevent injection
+        sql_get_image_by_name = f"SELECT image_name FROM images WHERE image_name='{sanitized_filename}'"
+        self.cursor.execute(sql_get_image_by_name)
+        rows = self.cursor.fetchall()
+        return True if len(rows) > 0 else False
+
+    def disconnect(self):
+        """Disconnect from the db, cleaning up connections and cursors."""
+        if self.cursor is not None:
+            self.cursor.close()
+        if self.connection is not None:
+            self.connection.close()
+
+
+class PhysicalFileMapper:
+    """Containing class for script functionality."""
+
+    def __init__(self, outputs_path, thumbnails_path, archive_path, thumbnails_archive_path):  # noqa D107
+        self.outputs_path = outputs_path
+        self.archive_path = archive_path
+        self.thumbnails_path = thumbnails_path
+        self.thumbnails_archive_path = thumbnails_archive_path
+
+    def create_archive_directories(self):
+        """Create the directory for archiving orphaned image files."""
+        if not os.path.exists(self.archive_path):
+            print(f"Image archive directory ({self.archive_path}) does not exist -> creating...", end="")
+            os.makedirs(self.archive_path)
+            print("Created!")
+        if not os.path.exists(self.thumbnails_archive_path):
+            print(
+                f"Image thumbnails archive directory ({self.thumbnails_archive_path}) does not exist -> creating...",
+                end="",
+            )
+            os.makedirs(self.thumbnails_archive_path)
+            print("Created!")
+
+    def get_image_path_for_image_name(self, image_filename):  # noqa D102
+        return os.path.join(self.outputs_path, image_filename)
+
+    def image_file_exists(self, image_filename):  # noqa D102
+        return os.path.exists(self.get_image_path_for_image_name(image_filename))
+
+    def get_thumbnail_path_for_image(self, image_filename):  # noqa D102
+        return os.path.join(self.thumbnails_path, os.path.splitext(image_filename)[0]) + ".webp"
+
+    def get_image_name_from_thumbnail_path(self, thumbnail_path):  # noqa D102
+        return os.path.splitext(os.path.basename(thumbnail_path))[0] + ".png"
+
+    def thumbnail_exists_for_filename(self, image_filename):  # noqa D102
+        return os.path.exists(self.get_thumbnail_path_for_image(image_filename))
+
+    def archive_image(self, image_filename):  # noqa D102
+        if self.image_file_exists(image_filename):
+            image_path = self.get_image_path_for_image_name(image_filename)
+            shutil.move(image_path, self.archive_path)
+
+    def archive_thumbnail_by_image_filename(self, image_filename):  # noqa D102
+        if self.thumbnail_exists_for_filename(image_filename):
+            thumbnail_path = self.get_thumbnail_path_for_image(image_filename)
+            shutil.move(thumbnail_path, self.thumbnails_archive_path)
+
+    def get_all_png_filenames_in_directory(self, directory_path):  # noqa D102
+        filepaths = glob.glob(directory_path + "/*.png", recursive=False)
+        filenames = []
+        for filepath in filepaths:
+            filenames.append(os.path.basename(filepath))
+        return filenames
+
+    def get_all_thumbnails_with_full_path(self, thumbnails_directory):  # noqa D102
+        return glob.glob(thumbnails_directory + "/*.webp", recursive=False)
+
+    def generate_thumbnail_for_image_name(self, image_filename):  # noqa D102
+        # create thumbnail
+        file_path = self.get_image_path_for_image_name(image_filename)
+        thumb_path = self.get_thumbnail_path_for_image(image_filename)
+        thumb_size = 256, 256
+        with PIL.Image.open(file_path) as source_image:
+            source_image.thumbnail(thumb_size)
+            source_image.save(thumb_path, "webp")
+
+
+class MaintenanceOperation(str, enum.Enum):
+    """Enum class for operations."""
+
+    Ask = "ask"
+    CleanOrphanedDbEntries = "clean"
+    CleanOrphanedDiskFiles = "archive"
+    ReGenerateThumbnails = "thumbnails"
+    All = "all"
+
+
+class InvokeAIDatabaseMaintenanceApp:
+    """Main processor class for the application."""
+
+    _operation: MaintenanceOperation
+    _headless: bool = False
+    __stats: MaintenanceStats = MaintenanceStats()
+
+    def __init__(self, operation: MaintenanceOperation = MaintenanceOperation.Ask):
+        """Initialize maintenance app."""
+        self._operation = MaintenanceOperation(operation)
+        self._headless = operation != MaintenanceOperation.Ask
+
+    def ask_for_operation(self) -> MaintenanceOperation:
+        """Ask user to choose the operation to perform."""
+        while True:
+            print()
+            print("It is recommennded to run these operations as ordered below to avoid additional")
+            print("work being performed that will be discarded in a subsequent step.")
+            print()
+            print("Select maintenance operation:")
+            print()
+            print("1) Clean Orphaned Database Image Entries")
+            print("     Cleans entries in the database where the matching file was removed from")
+            print("     the outputs directory.")
+            print("2) Archive Orphaned Image Files")
+            print("     Files found in the outputs directory without an entry in the database are")
+            print("     moved to an archive directory.")
+            print("3) Re-Generate Missing Thumbnail Files")
+            print("     For files found in the outputs directory, re-generate a thumbnail if it")
+            print("     not found in the thumbnails directory.")
+            print()
+            print("(CTRL-C to quit)")
+
+            try:
+                input_option = int(input("Specify desired operation number (1-3): "))
+
+                operations = [
+                    MaintenanceOperation.CleanOrphanedDbEntries,
+                    MaintenanceOperation.CleanOrphanedDiskFiles,
+                    MaintenanceOperation.ReGenerateThumbnails,
+                ]
+                return operations[input_option - 1]
+            except (IndexError, ValueError):
+                print("\nInvalid selection!")
+
+    def ask_to_continue(self) -> bool:
+        """Ask user whether they want to continue with the operation."""
+        while True:
+            input_choice = input("Do you wish to continue? (Y or N)? ")
+            if str.lower(input_choice) == "y":
+                return True
+            if str.lower(input_choice) == "n":
+                return False
+
+    def clean_orphaned_db_entries(
+        self, config: ConfigMapper, file_mapper: PhysicalFileMapper, db_mapper: DatabaseMapper
+    ):
+        """Clean dangling database entries that no longer point to a file in outputs."""
+        if self._headless:
+            print(f"Removing database references to images that no longer exist in {config.outputs_path}...")
+        else:
+            print()
+            print("===============================================================================")
+            print("= Clean Orphaned Database Entries")
+            print()
+            print("Perform this operation if you have removed files from the outputs/images")
+            print("directory but the database was never updated. You may see this as empty imaages")
+            print("in the app gallery, or images that only show an enlarged version of the")
+            print("thumbnail.")
+            print()
+            print(f"Database File Path               : {config.database_path}")
+            print(f"Database backup will be taken at : {config.database_backup_dir}")
+            print(f"Outputs/Images Directory         : {config.outputs_path}")
+            print(f"Outputs/Images Archive Directory : {config.archive_path}")
+
+            print("\nNotes about this operation:")
+            print("- This operation will find database image file entries that do not exist in the")
+            print("  outputs/images dir and remove those entries from the database.")
+            print("- This operation will target all image types including intermediate files.")
+            print("- If a thumbnail still exists in outputs/images/thumbnails matching the")
+            print("  orphaned entry, it will be moved to the archive directory.")
+            print()
+
+            if not self.ask_to_continue():
+                raise KeyboardInterrupt
+
+        file_mapper.create_archive_directories()
+        db_mapper.backup(config.TIMESTAMP_STRING)
+        db_mapper.connect()
+        db_files = db_mapper.get_all_image_files()
+        for db_file in db_files:
+            try:
+                if not file_mapper.image_file_exists(db_file):
+                    print(f"Found orphaned image db entry {db_file}. Cleaning ...", end="")
+                    db_mapper.remove_image_file_record(db_file)
+                    print("Cleaned!")
+                    if file_mapper.thumbnail_exists_for_filename(db_file):
+                        print("A thumbnail was found, archiving ...", end="")
+                        file_mapper.archive_thumbnail_by_image_filename(db_file)
+                        print("Archived!")
+                    self.__stats.count_orphaned_db_entries_cleaned += 1
+            except Exception as ex:
+                print("An error occurred cleaning db entry, error was:")
+                print(ex)
+                self.__stats.count_errors += 1
+
+    def clean_orphaned_disk_files(
+        self, config: ConfigMapper, file_mapper: PhysicalFileMapper, db_mapper: DatabaseMapper
+    ):
+        """Archive image files that no longer have entries in the database."""
+        if self._headless:
+            print(f"Archiving orphaned image files to {config.archive_path}...")
+        else:
+            print()
+            print("===============================================================================")
+            print("= Clean Orphaned Disk Files")
+            print()
+            print("Perform this operation if you have files that were copied into the outputs")
+            print("directory which are not referenced by the database. This can happen if you")
+            print("upgraded to a version with a fresh database, but re-used the outputs directory")
+            print("and now new images are mixed with the files not in the db. The script will")
+            print("archive these files so you can choose to delete them or re-import using the")
+            print("official import script.")
+            print()
+            print(f"Database File Path               : {config.database_path}")
+            print(f"Database backup will be taken at : {config.database_backup_dir}")
+            print(f"Outputs/Images Directory         : {config.outputs_path}")
+            print(f"Outputs/Images Archive Directory : {config.archive_path}")
+
+            print("\nNotes about this operation:")
+            print("- This operation will find image files not referenced by the database and move to an")
+            print("  archive directory.")
+            print("- This operation will target all image types including intermediate references.")
+            print("- The matching thumbnail will also be archived.")
+            print("- Any remaining orphaned thumbnails will also be archived.")
+
+            if not self.ask_to_continue():
+                raise KeyboardInterrupt
+
+            print()
+
+        file_mapper.create_archive_directories()
+        db_mapper.backup(config.TIMESTAMP_STRING)
+        db_mapper.connect()
+        phys_files = file_mapper.get_all_png_filenames_in_directory(config.outputs_path)
+        for phys_file in phys_files:
+            try:
+                if not db_mapper.does_image_exist(phys_file):
+                    print(f"Found orphaned file {phys_file}, archiving...", end="")
+                    file_mapper.archive_image(phys_file)
+                    print("Archived!")
+                    if file_mapper.thumbnail_exists_for_filename(phys_file):
+                        print("Related thumbnail exists, archiving...", end="")
+                        file_mapper.archive_thumbnail_by_image_filename(phys_file)
+                        print("Archived!")
+                    else:
+                        print("No matching thumbnail existed to be cleaned.")
+                    self.__stats.count_orphaned_disk_files_cleaned += 1
+            except Exception as ex:
+                print("Error found trying to archive file or thumbnail, error was:")
+                print(ex)
+                self.__stats.count_errors += 1
+
+        thumb_filepaths = file_mapper.get_all_thumbnails_with_full_path(config.thumbnails_path)
+        # archive any remaining orphaned thumbnails
+        for thumb_filepath in thumb_filepaths:
+            try:
+                thumb_src_image_name = file_mapper.get_image_name_from_thumbnail_path(thumb_filepath)
+                if not file_mapper.image_file_exists(thumb_src_image_name):
+                    print(f"Found orphaned thumbnail {thumb_filepath}, archiving...", end="")
+                    file_mapper.archive_thumbnail_by_image_filename(thumb_src_image_name)
+                    print("Archived!")
+                    self.__stats.count_orphaned_thumbnails_cleaned += 1
+            except Exception as ex:
+                print("Error found trying to archive thumbnail, error was:")
+                print(ex)
+                self.__stats.count_errors += 1
+
+    def regenerate_thumbnails(self, config: ConfigMapper, file_mapper: PhysicalFileMapper, *args):
+        """Create missing thumbnails for any valid general images both in the db and on disk."""
+        if self._headless:
+            print("Regenerating missing image thumbnails...")
+        else:
+            print()
+            print("===============================================================================")
+            print("= Regenerate Thumbnails")
+            print()
+            print("This operation will find files that have no matching thumbnail on disk")
+            print("and regenerate those thumbnail files.")
+            print("NOTE: It is STRONGLY recommended that the user first clean/archive orphaned")
+            print("  disk files from the previous menu to avoid wasting time regenerating")
+            print("  thumbnails for orphaned files.")
+
+            print()
+            print(f"Outputs/Images Directory         : {config.outputs_path}")
+            print(f"Outputs/Images Directory         : {config.thumbnails_path}")
+
+            print("\nNotes about this operation:")
+            print("- This operation will find image files both referenced in the db and on disk")
+            print("  that do not have a matching thumbnail on disk and re-generate the thumbnail")
+            print("  file.")
+
+            if not self.ask_to_continue():
+                raise KeyboardInterrupt
+
+            print()
+
+        phys_files = file_mapper.get_all_png_filenames_in_directory(config.outputs_path)
+        for phys_file in phys_files:
+            try:
+                if not file_mapper.thumbnail_exists_for_filename(phys_file):
+                    print(f"Found file without thumbnail {phys_file}...Regenerating Thumbnail...", end="")
+                    file_mapper.generate_thumbnail_for_image_name(phys_file)
+                    print("Done!")
+                    self.__stats.count_thumbnails_regenerated += 1
+            except Exception as ex:
+                print("Error found trying to regenerate thumbnail, error was:")
+                print(ex)
+                self.__stats.count_errors += 1
+
+    def main(self):  # noqa D107
+        print("\n===============================================================================")
+        print("Database and outputs Maintenance for Invoke AI 3.0.0 +")
+        print("===============================================================================\n")
+
+        config_mapper = ConfigMapper()
+        if not config_mapper.load():
+            print("\nInvalid configuration...exiting.\n")
+            return
+
+        file_mapper = PhysicalFileMapper(
+            config_mapper.outputs_path,
+            config_mapper.thumbnails_path,
+            config_mapper.archive_path,
+            config_mapper.thumbnails_archive_path,
+        )
+        db_mapper = DatabaseMapper(config_mapper.database_path, config_mapper.database_backup_dir)
+
+        op = self._operation
+        operations_to_perform = []
+
+        if op == MaintenanceOperation.Ask:
+            op = self.ask_for_operation()
+
+        if op in [MaintenanceOperation.CleanOrphanedDbEntries, MaintenanceOperation.All]:
+            operations_to_perform.append(self.clean_orphaned_db_entries)
+        if op in [MaintenanceOperation.CleanOrphanedDiskFiles, MaintenanceOperation.All]:
+            operations_to_perform.append(self.clean_orphaned_disk_files)
+        if op in [MaintenanceOperation.ReGenerateThumbnails, MaintenanceOperation.All]:
+            operations_to_perform.append(self.regenerate_thumbnails)
+
+        for operation in operations_to_perform:
+            operation(config_mapper, file_mapper, db_mapper)
+
+        print("\n===============================================================================")
+        print(f"= Maintenance Complete - Elapsed Time: {MaintenanceStats.get_elapsed_time_string()}")
+        print()
+        print(f"Orphaned db entries cleaned             : {self.__stats.count_orphaned_db_entries_cleaned}")
+        print(f"Orphaned disk files archived            : {self.__stats.count_orphaned_disk_files_cleaned}")
+        print(f"Orphaned thumbnail files archived       : {self.__stats.count_orphaned_thumbnails_cleaned}")
+        print(f"Thumbnails regenerated                  : {self.__stats.count_thumbnails_regenerated}")
+        print(f"Errors during operation                 : {self.__stats.count_errors}")
+
+        print()
+
+
+def main():  # noqa D107
+    parser = argparse.ArgumentParser(
+        description="InvokeAI image database maintenance utility",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""Operations:
+  ask         Choose operation from a menu [default]
+  all         Run all maintenance operations
+  clean       Clean database of dangling entries
+  archive     Archive orphaned image files
+  thumbnails  Regenerate missing image thumbnails
+""",
+    )
+    parser.add_argument("--root", default=".", type=Path, help="InvokeAI root directory")
+    parser.add_argument(
+        "--operation", default="ask", choices=[x.value for x in MaintenanceOperation], help="Operation to perform."
+    )
+    args = parser.parse_args()
+    try:
+        os.chdir(args.root)
+        app = InvokeAIDatabaseMaintenanceApp(args.operation)
+        app.main()
+    except KeyboardInterrupt:
+        print("\n\nUser cancelled execution.")
+    except FileNotFoundError:
+        print(f"Invalid root directory '{args.root}'.")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/pyproject.toml b/pyproject.toml
index 6f68d5b362..60041aa836 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -146,6 +146,7 @@ dependencies = [
 "invokeai-node-cli" = "invokeai.app.cli_app:invoke_cli"
 "invokeai-node-web" = "invokeai.app.api_app:invoke_api"
 "invokeai-import-images" = "invokeai.frontend.install.import_images:main"
+"invokeai-db-maintenance" = "invokeai.backend.util.db_maintenance:main"
 
 [project.urls]
 "Homepage" = "https://invoke-ai.github.io/InvokeAI/"

From b915d741275c9e2573b5cc88ff76fe5ce0d59833 Mon Sep 17 00:00:00 2001
From: Brandon <58442074+brandonrising@users.noreply.github.com>
Date: Wed, 20 Sep 2023 18:30:01 -0400
Subject: [PATCH 218/265] =?UTF-8?q?Remove=20fastapi-socketio=20dependency,?=
 =?UTF-8?q?=20doesn't=20really=20do=20much=20for=20us=20and=E2=80=A6=20(#4?=
 =?UTF-8?q?552)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Remove fastapi-socketio dependency, doesn't really do much for us and isn't well maintained

* Run python black

* Remove fastapi_socketio import

* Add __app as class variable in case we ever need it later

* Run isort

---------

Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
---
 invokeai/app/api/sockets.py | 9 ++++++---
 pyproject.toml              | 1 -
 2 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/invokeai/app/api/sockets.py b/invokeai/app/api/sockets.py
index 20fa6606bd..ae699f35ef 100644
--- a/invokeai/app/api/sockets.py
+++ b/invokeai/app/api/sockets.py
@@ -3,16 +3,19 @@
 from fastapi import FastAPI
 from fastapi_events.handlers.local import local_handler
 from fastapi_events.typing import Event
-from fastapi_socketio import SocketManager
+from socketio import ASGIApp, AsyncServer
 
 from ..services.events import EventServiceBase
 
 
 class SocketIO:
-    __sio: SocketManager
+    __sio: AsyncServer
+    __app: ASGIApp
 
     def __init__(self, app: FastAPI):
-        self.__sio = SocketManager(app=app)
+        self.__sio = AsyncServer(async_mode="asgi", cors_allowed_origins="*")
+        self.__app = ASGIApp(socketio_server=self.__sio, socketio_path="socket.io")
+        app.mount("/ws", self.__app)
 
         self.__sio.on("subscribe_queue", handler=self._handle_sub_queue)
         self.__sio.on("unsubscribe_queue", handler=self._handle_unsub_queue)
diff --git a/pyproject.toml b/pyproject.toml
index 60041aa836..b9410999ec 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -48,7 +48,6 @@ dependencies = [
   "facexlib",
   "fastapi==0.88.0",
   "fastapi-events==0.8.0",
-  "fastapi-socketio==0.0.10",
   "huggingface-hub~=0.16.4",
   "invisible-watermark~=0.2.0", # needed to install SDXL base and refiner using their repo_ids
   "matplotlib",                 # needed for plotting of Penner easing functions

From 7fecebf7db1a96c11a0daa7865298d034feb0296 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 09:25:06 +1000
Subject: [PATCH 219/265] feat(ui): add greyscale invoke logo to invoke button
 when as icon

---
 .../components/GreyscaleInvokeAIIcon.tsx      | 22 +++++++++++++++++++
 .../queue/components/QueueBackButton.tsx      |  4 +++-
 2 files changed, 25 insertions(+), 1 deletion(-)
 create mode 100644 invokeai/frontend/web/src/common/components/GreyscaleInvokeAIIcon.tsx

diff --git a/invokeai/frontend/web/src/common/components/GreyscaleInvokeAIIcon.tsx b/invokeai/frontend/web/src/common/components/GreyscaleInvokeAIIcon.tsx
new file mode 100644
index 0000000000..a6c6cdca18
--- /dev/null
+++ b/invokeai/frontend/web/src/common/components/GreyscaleInvokeAIIcon.tsx
@@ -0,0 +1,22 @@
+import { Box, Image } from '@chakra-ui/react';
+import InvokeAILogoImage from 'assets/images/logo.png';
+import { memo } from 'react';
+
+const GreyscaleInvokeAIIcon = () => (
+  <Box pos="relative" w={4} h={4}>
+    <Image
+      src={InvokeAILogoImage}
+      alt="invoke-ai-logo"
+      pos="absolute"
+      top={-0.5}
+      insetInlineStart={-0.5}
+      w={5}
+      h={5}
+      minW={5}
+      minH={5}
+      filter="saturate(0)"
+    />
+  </Box>
+);
+
+export default memo(GreyscaleInvokeAIIcon);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx b/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx
index 6e5c1b52a9..fda54db26b 100644
--- a/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx
@@ -1,9 +1,10 @@
+import { ChakraProps } from '@chakra-ui/react';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { useQueueBack } from '../hooks/useQueueBack';
 import EnqueueButtonTooltip from './QueueButtonTooltip';
 import QueueButton from './common/QueueButton';
-import { ChakraProps } from '@chakra-ui/react';
+import GreyscaleInvokeAIIcon from 'common/components/GreyscaleInvokeAIIcon';
 
 type Props = {
   asIconButton?: boolean;
@@ -23,6 +24,7 @@ const QueueBackButton = ({ asIconButton, sx }: Props) => {
       onClick={queueBack}
       tooltip={<EnqueueButtonTooltip />}
       sx={sx}
+      icon={asIconButton ? <GreyscaleInvokeAIIcon /> : undefined}
     />
   );
 };

From 144ede031ee5c2e538c398f3c0620f07fa17e20b Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 15 Sep 2023 11:01:37 +1000
Subject: [PATCH 220/265] feat(nodes): remove ui_type overrides for polymorphic
 fields

---
 invokeai/app/invocations/controlnet_image_processors.py | 2 +-
 invokeai/app/invocations/latent.py                      | 3 +--
 invokeai/app/invocations/onnx.py                        | 2 --
 3 files changed, 2 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 7f81c0bc7e..80a5c59897 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -100,7 +100,7 @@ class ControlNetInvocation(BaseInvocation):
     image: ImageField = InputField(description="The control image")
     control_model: ControlNetModelField = InputField(description=FieldDescriptions.controlnet_model, input=Input.Direct)
     control_weight: Union[float, List[float]] = InputField(
-        default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
+        default=1.0, description="The weight given to the ControlNet"
     )
     begin_step_percent: float = InputField(
         default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 6c7f3da366..10caeee67a 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -210,7 +210,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
     noise: Optional[LatentsField] = InputField(description=FieldDescriptions.noise, input=Input.Connection, ui_order=3)
     steps: int = InputField(default=10, gt=0, description=FieldDescriptions.steps)
     cfg_scale: Union[float, List[float]] = InputField(
-        default=7.5, ge=1, description=FieldDescriptions.cfg_scale, ui_type=UIType.Float, title="CFG Scale"
+        default=7.5, ge=1, description=FieldDescriptions.cfg_scale, title="CFG Scale"
     )
     denoising_start: float = InputField(default=0.0, ge=0, le=1, description=FieldDescriptions.denoising_start)
     denoising_end: float = InputField(default=1.0, ge=0, le=1, description=FieldDescriptions.denoising_end)
@@ -220,7 +220,6 @@ class DenoiseLatentsInvocation(BaseInvocation):
     unet: UNetField = InputField(description=FieldDescriptions.unet, input=Input.Connection, title="UNet", ui_order=2)
     control: Union[ControlField, list[ControlField]] = InputField(
         default=None,
-        description=FieldDescriptions.control,
         input=Input.Connection,
         ui_order=5,
     )
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index 4c7fab44d8..1d531d45a2 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -166,7 +166,6 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
         default=7.5,
         ge=1,
         description=FieldDescriptions.cfg_scale,
-        ui_type=UIType.Float,
     )
     scheduler: SAMPLER_NAME_VALUES = InputField(
         default="euler", description=FieldDescriptions.scheduler, input=Input.Direct, ui_type=UIType.Scheduler
@@ -179,7 +178,6 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
     control: Optional[Union[ControlField, list[ControlField]]] = InputField(
         default=None,
         description=FieldDescriptions.control,
-        ui_type=UIType.Control,
     )
     # seamless:   bool = InputField(default=False, description="Whether or not to generate an image that can tile without seams", )
     # seamless_axes: str = InputField(default="", description="The axes to tile the image on, 'x' and/or 'y'")

From e78b36a9f7cbbd68ad58a4a15e61954bc27964c3 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 15 Sep 2023 11:05:25 +1000
Subject: [PATCH 221/265] feat(ui): render input components for polymorphic
 fields

Polymorphic fields now render the appropriate input component for their base type.

For example, float polymorphics will render the number input box.

You no longer need to specify ui_type to force it to display.

TODO: The UI *may* break if a list is provided as the default value for a polymorphic field.
---
 .../Invocation/fields/InputFieldRenderer.tsx  | 24 +++++++++++++++----
 .../fields/inputs/BooleanInputField.tsx       |  7 +++++-
 .../fields/inputs/ImageInputField.tsx         |  7 +++++-
 .../fields/inputs/NumberInputField.tsx        | 14 +++++++++--
 .../fields/inputs/StringInputField.tsx        |  7 +++++-
 .../hooks/useAnyOrDirectInputFieldNames.ts    | 11 ++++++++-
 .../hooks/useConnectionInputFieldNames.ts     | 11 ++++++++-
 .../web/src/features/nodes/types/constants.ts | 22 +++++++++++++++++
 .../web/src/features/nodes/types/types.ts     | 10 ++++----
 9 files changed, 97 insertions(+), 16 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
index 10cde5bf49..549c284c0c 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
@@ -30,7 +30,11 @@ const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => {
     return <Box p={2}>Output field in input: {field?.type}</Box>;
   }
 
-  if (field?.type === 'string' && fieldTemplate?.type === 'string') {
+  if (
+    (field?.type === 'string' && fieldTemplate?.type === 'string') ||
+    (field?.type === 'StringPolymorphic' &&
+      fieldTemplate?.type === 'StringPolymorphic')
+  ) {
     return (
       <StringInputField
         nodeId={nodeId}
@@ -40,7 +44,11 @@ const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => {
     );
   }
 
-  if (field?.type === 'boolean' && fieldTemplate?.type === 'boolean') {
+  if (
+    (field?.type === 'boolean' && fieldTemplate?.type === 'boolean') ||
+    (field?.type === 'BooleanPolymorphic' &&
+      fieldTemplate?.type === 'BooleanPolymorphic')
+  ) {
     return (
       <BooleanInputField
         nodeId={nodeId}
@@ -52,7 +60,11 @@ const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => {
 
   if (
     (field?.type === 'integer' && fieldTemplate?.type === 'integer') ||
-    (field?.type === 'float' && fieldTemplate?.type === 'float')
+    (field?.type === 'float' && fieldTemplate?.type === 'float') ||
+    (field?.type === 'FloatPolymorphic' &&
+      fieldTemplate?.type === 'FloatPolymorphic') ||
+    (field?.type === 'IntegerPolymorphic' &&
+      fieldTemplate?.type === 'IntegerPolymorphic')
   ) {
     return (
       <NumberInputField
@@ -73,7 +85,11 @@ const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => {
     );
   }
 
-  if (field?.type === 'ImageField' && fieldTemplate?.type === 'ImageField') {
+  if (
+    (field?.type === 'ImageField' && fieldTemplate?.type === 'ImageField') ||
+    (field?.type === 'ImagePolymorphic' &&
+      fieldTemplate?.type === 'ImagePolymorphic')
+  ) {
     return (
       <ImageInputField
         nodeId={nodeId}
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BooleanInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BooleanInputField.tsx
index c9f83403f6..d14756dbdb 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BooleanInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BooleanInputField.tsx
@@ -4,12 +4,17 @@ import { fieldBooleanValueChanged } from 'features/nodes/store/nodesSlice';
 import {
   BooleanInputFieldTemplate,
   BooleanInputFieldValue,
+  BooleanPolymorphicInputFieldTemplate,
+  BooleanPolymorphicInputFieldValue,
   FieldComponentProps,
 } from 'features/nodes/types/types';
 import { ChangeEvent, memo, useCallback } from 'react';
 
 const BooleanInputFieldComponent = (
-  props: FieldComponentProps<BooleanInputFieldValue, BooleanInputFieldTemplate>
+  props: FieldComponentProps<
+    BooleanInputFieldValue | BooleanPolymorphicInputFieldValue,
+    BooleanInputFieldTemplate | BooleanPolymorphicInputFieldTemplate
+  >
 ) => {
   const { nodeId, field } = props;
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageInputField.tsx
index 7f96675792..6099593c2a 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageInputField.tsx
@@ -12,6 +12,8 @@ import {
   FieldComponentProps,
   ImageInputFieldTemplate,
   ImageInputFieldValue,
+  ImagePolymorphicInputFieldTemplate,
+  ImagePolymorphicInputFieldValue,
 } from 'features/nodes/types/types';
 import { memo, useCallback, useMemo } from 'react';
 import { FaUndo } from 'react-icons/fa';
@@ -19,7 +21,10 @@ import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { PostUploadAction } from 'services/api/types';
 
 const ImageInputFieldComponent = (
-  props: FieldComponentProps<ImageInputFieldValue, ImageInputFieldTemplate>
+  props: FieldComponentProps<
+    ImageInputFieldValue | ImagePolymorphicInputFieldValue,
+    ImageInputFieldTemplate | ImagePolymorphicInputFieldTemplate
+  >
 ) => {
   const { nodeId, field } = props;
   const dispatch = useAppDispatch();
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/NumberInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/NumberInputField.tsx
index 61387d751b..2afbec1df8 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/NumberInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/NumberInputField.tsx
@@ -12,15 +12,25 @@ import {
   FieldComponentProps,
   FloatInputFieldTemplate,
   FloatInputFieldValue,
+  FloatPolymorphicInputFieldTemplate,
+  FloatPolymorphicInputFieldValue,
   IntegerInputFieldTemplate,
   IntegerInputFieldValue,
+  IntegerPolymorphicInputFieldTemplate,
+  IntegerPolymorphicInputFieldValue,
 } from 'features/nodes/types/types';
 import { memo, useEffect, useMemo, useState } from 'react';
 
 const NumberInputFieldComponent = (
   props: FieldComponentProps<
-    IntegerInputFieldValue | FloatInputFieldValue,
-    IntegerInputFieldTemplate | FloatInputFieldTemplate
+    | IntegerInputFieldValue
+    | IntegerPolymorphicInputFieldValue
+    | FloatInputFieldValue
+    | FloatPolymorphicInputFieldValue,
+    | IntegerInputFieldTemplate
+    | IntegerPolymorphicInputFieldTemplate
+    | FloatInputFieldTemplate
+    | FloatPolymorphicInputFieldTemplate
   >
 ) => {
   const { nodeId, field, fieldTemplate } = props;
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/StringInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/StringInputField.tsx
index c82b8f612c..720722030b 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/StringInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/StringInputField.tsx
@@ -6,11 +6,16 @@ import {
   StringInputFieldTemplate,
   StringInputFieldValue,
   FieldComponentProps,
+  StringPolymorphicInputFieldValue,
+  StringPolymorphicInputFieldTemplate,
 } from 'features/nodes/types/types';
 import { ChangeEvent, memo, useCallback } from 'react';
 
 const StringInputFieldComponent = (
-  props: FieldComponentProps<StringInputFieldValue, StringInputFieldTemplate>
+  props: FieldComponentProps<
+    StringInputFieldValue | StringPolymorphicInputFieldValue,
+    StringInputFieldTemplate | StringPolymorphicInputFieldTemplate
+  >
 ) => {
   const { nodeId, field, fieldTemplate } = props;
   const dispatch = useAppDispatch();
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useAnyOrDirectInputFieldNames.ts b/invokeai/frontend/web/src/features/nodes/hooks/useAnyOrDirectInputFieldNames.ts
index 5822d2ac53..36f2e8a62c 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useAnyOrDirectInputFieldNames.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useAnyOrDirectInputFieldNames.ts
@@ -5,6 +5,10 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { map } from 'lodash-es';
 import { useMemo } from 'react';
 import { isInvocationNode } from '../types/types';
+import {
+  POLYMORPHIC_TYPES,
+  TYPES_WITH_INPUT_COMPONENTS,
+} from '../types/constants';
 
 export const useAnyOrDirectInputFieldNames = (nodeId: string) => {
   const selector = useMemo(
@@ -21,7 +25,12 @@ export const useAnyOrDirectInputFieldNames = (nodeId: string) => {
             return [];
           }
           return map(nodeTemplate.inputs)
-            .filter((field) => ['any', 'direct'].includes(field.input))
+            .filter(
+              (field) =>
+                (['any', 'direct'].includes(field.input) ||
+                  POLYMORPHIC_TYPES.includes(field.type)) &&
+                TYPES_WITH_INPUT_COMPONENTS.includes(field.type)
+            )
             .filter((field) => !field.ui_hidden)
             .sort((a, b) => (a.ui_order ?? 0) - (b.ui_order ?? 0))
             .map((field) => field.name)
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useConnectionInputFieldNames.ts b/invokeai/frontend/web/src/features/nodes/hooks/useConnectionInputFieldNames.ts
index 93125a3499..eea874cc87 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useConnectionInputFieldNames.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useConnectionInputFieldNames.ts
@@ -4,6 +4,10 @@ import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { map } from 'lodash-es';
 import { useMemo } from 'react';
+import {
+  POLYMORPHIC_TYPES,
+  TYPES_WITH_INPUT_COMPONENTS,
+} from '../types/constants';
 import { isInvocationNode } from '../types/types';
 
 export const useConnectionInputFieldNames = (nodeId: string) => {
@@ -21,7 +25,12 @@ export const useConnectionInputFieldNames = (nodeId: string) => {
             return [];
           }
           return map(nodeTemplate.inputs)
-            .filter((field) => field.input === 'connection')
+            .filter(
+              (field) =>
+                (field.input === 'connection' &&
+                  !POLYMORPHIC_TYPES.includes(field.type)) ||
+                !TYPES_WITH_INPUT_COMPONENTS.includes(field.type)
+            )
             .filter((field) => !field.ui_hidden)
             .sort((a, b) => (a.ui_order ?? 0) - (b.ui_order ?? 0))
             .map((field) => field.name)
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index 34e494677f..a54f84d3f0 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -96,6 +96,28 @@ export const POLYMORPHIC_TO_SINGLE_MAP = {
   ColorPolymorphic: 'ColorField',
 };
 
+export const TYPES_WITH_INPUT_COMPONENTS = [
+  'string',
+  'StringPolymorphic',
+  'boolean',
+  'BooleanPolymorphic',
+  'integer',
+  'float',
+  'FloatPolymorphic',
+  'IntegerPolymorphic',
+  'enum',
+  'ImageField',
+  'ImagePolymorphic',
+  'MainModelField',
+  'SDXLRefinerModelField',
+  'VaeModelField',
+  'LoRAModelField',
+  'ControlNetModelField',
+  'ColorField',
+  'SDXLMainModelField',
+  'Scheduler',
+];
+
 export const isPolymorphicItemType = (
   itemType: string | undefined
 ): itemType is keyof typeof SINGLE_TO_POLYMORPHIC_MAP =>
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index 361de26ea5..2a3e5a762b 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -220,7 +220,7 @@ export type IntegerCollectionInputFieldValue = z.infer<
 
 export const zIntegerPolymorphicInputFieldValue = zInputFieldValueBase.extend({
   type: z.literal('IntegerPolymorphic'),
-  value: z.union([z.number().int(), z.array(z.number().int())]).optional(),
+  value: z.number().int().optional(),
 });
 export type IntegerPolymorphicInputFieldValue = z.infer<
   typeof zIntegerPolymorphicInputFieldValue
@@ -242,7 +242,7 @@ export type FloatCollectionInputFieldValue = z.infer<
 
 export const zFloatPolymorphicInputFieldValue = zInputFieldValueBase.extend({
   type: z.literal('FloatPolymorphic'),
-  value: z.union([z.number(), z.array(z.number())]).optional(),
+  value: z.number().optional(),
 });
 export type FloatPolymorphicInputFieldValue = z.infer<
   typeof zFloatPolymorphicInputFieldValue
@@ -264,7 +264,7 @@ export type StringCollectionInputFieldValue = z.infer<
 
 export const zStringPolymorphicInputFieldValue = zInputFieldValueBase.extend({
   type: z.literal('StringPolymorphic'),
-  value: z.union([z.string(), z.array(z.string())]).optional(),
+  value: z.string().optional(),
 });
 export type StringPolymorphicInputFieldValue = z.infer<
   typeof zStringPolymorphicInputFieldValue
@@ -286,7 +286,7 @@ export type BooleanCollectionInputFieldValue = z.infer<
 
 export const zBooleanPolymorphicInputFieldValue = zInputFieldValueBase.extend({
   type: z.literal('BooleanPolymorphic'),
-  value: z.union([z.boolean(), z.array(z.boolean())]).optional(),
+  value: z.boolean().optional(),
 });
 export type BooleanPolymorphicInputFieldValue = z.infer<
   typeof zBooleanPolymorphicInputFieldValue
@@ -496,7 +496,7 @@ export type ImageInputFieldValue = z.infer<typeof zImageInputFieldValue>;
 
 export const zImagePolymorphicInputFieldValue = zInputFieldValueBase.extend({
   type: z.literal('ImagePolymorphic'),
-  value: z.union([zImageField, z.array(zImageField)]).optional(),
+  value: zImageField.optional(),
 });
 export type ImagePolymorphicInputFieldValue = z.infer<
   typeof zImagePolymorphicInputFieldValue

From eb2fcbe28a57844c0bb1eb7ee08f86cd6f0814bb Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 15 Sep 2023 11:10:35 +1000
Subject: [PATCH 222/265] chore: flake8

---
 invokeai/app/invocations/controlnet_image_processors.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 80a5c59897..5696f43f8d 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -38,7 +38,6 @@ from .baseinvocation import (
     InputField,
     InvocationContext,
     OutputField,
-    UIType,
     invocation,
     invocation_output,
 )

From 8954953eca441f237e80b53b3f625c7d250d1e7c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 09:41:19 +1000
Subject: [PATCH 223/265] fix(ui): no duplicate network requests on app startup

---
 .../listeners/socketio/socketConnected.ts              | 10 ++++++++--
 .../listeners/socketio/socketDisconnected.ts           |  3 ---
 .../src/features/system/store/systemPersistDenylist.ts |  1 +
 .../web/src/features/system/store/systemSlice.ts       |  5 +++++
 .../frontend/web/src/features/system/store/types.ts    |  1 +
 5 files changed, 15 insertions(+), 5 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
index b81aa36455..9957b7f117 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
@@ -4,6 +4,7 @@ import { api } from 'services/api';
 import { receivedOpenAPISchema } from 'services/api/thunks/schema';
 import { appSocketConnected, socketConnected } from 'services/events/actions';
 import { startAppListening } from '../..';
+import { isInitializedChanged } from 'features/system/store/systemSlice';
 
 export const addSocketConnectedEventListener = () => {
   startAppListening({
@@ -13,7 +14,7 @@ export const addSocketConnectedEventListener = () => {
 
       log.debug('Connected');
 
-      const { nodes, config } = getState();
+      const { nodes, config, system } = getState();
 
       const { disabledTabs } = config;
 
@@ -21,7 +22,12 @@ export const addSocketConnectedEventListener = () => {
         dispatch(receivedOpenAPISchema());
       }
 
-      dispatch(api.util.resetApiState());
+      if (system.isInitialized) {
+        // only reset the query caches if this connect event is a *reconnect* event
+        dispatch(api.util.resetApiState());
+      } else {
+        dispatch(isInitializedChanged(true));
+      }
 
       // pass along the socket event as an application action
       dispatch(appSocketConnected(action.payload));
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts
index 05ff8cd0e6..80e6fb0813 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts
@@ -1,5 +1,4 @@
 import { logger } from 'app/logging/logger';
-import { api } from 'services/api';
 import {
   appSocketDisconnected,
   socketDisconnected,
@@ -13,8 +12,6 @@ export const addSocketDisconnectedEventListener = () => {
       const log = logger('socketio');
       log.debug('Disconnected');
 
-      dispatch(api.util.resetApiState());
-
       // pass along the socket event as an application action
       dispatch(appSocketDisconnected(action.payload));
     },
diff --git a/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts b/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts
index df0d349d00..b1d952ed83 100644
--- a/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts
@@ -1,6 +1,7 @@
 import { SystemState } from './types';
 
 export const systemPersistDenylist: (keyof SystemState)[] = [
+  'isInitialized',
   'isConnected',
   'denoiseProgress',
   'status',
diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index 1fb50562c4..7d31838afd 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -24,6 +24,7 @@ import { SystemState, LANGUAGES } from './types';
 import { zPydanticValidationError } from './zodSchemas';
 
 export const initialSystemState: SystemState = {
+  isInitialized: false,
   isConnected: false,
   shouldConfirmOnDelete: true,
   enableImageDebugging: false,
@@ -82,6 +83,9 @@ export const systemSlice = createSlice({
     ) {
       state.shouldEnableInformationalPopovers = action.payload;
     },
+    isInitializedChanged(state, action: PayloadAction<boolean>) {
+      state.isInitialized = action.payload;
+    },
   },
   extraReducers(builder) {
     /**
@@ -242,6 +246,7 @@ export const {
   shouldUseNSFWCheckerChanged,
   shouldUseWatermarkerChanged,
   setShouldEnableInformationalPopovers,
+  isInitializedChanged,
 } = systemSlice.actions;
 
 export default systemSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/system/store/types.ts b/invokeai/frontend/web/src/features/system/store/types.ts
index 5b83e35d22..95c63a1415 100644
--- a/invokeai/frontend/web/src/features/system/store/types.ts
+++ b/invokeai/frontend/web/src/features/system/store/types.ts
@@ -21,6 +21,7 @@ export type DenoiseProgress = {
 };
 
 export interface SystemState {
+  isInitialized: boolean;
   isConnected: boolean;
   shouldConfirmOnDelete: boolean;
   enableImageDebugging: boolean;

From 2b08d9e53beb2cd736fccc096f26f6a5985ff672 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 09:41:43 +1000
Subject: [PATCH 224/265] feat(ui): disable queue-related buttons when
 disconnected

---
 .../components/CancelCurrentQueueItemButton.tsx   |  4 ++--
 .../queue/components/ClearQueueButton.tsx         |  4 ++--
 .../queue/components/PauseProcessorButton.tsx     |  4 ++--
 .../queue/components/PruneQueueButton.tsx         |  4 ++--
 .../queue/components/ResumeProcessorButton.tsx    |  4 ++--
 .../src/features/queue/hooks/useCancelBatch.ts    |  5 +++--
 .../queue/hooks/useCancelCurrentQueueItem.ts      | 15 +++++++++++++--
 .../features/queue/hooks/useCancelQueueItem.ts    |  5 +++--
 .../web/src/features/queue/hooks/useClearQueue.ts | 14 +++++++++-----
 .../src/features/queue/hooks/usePauseProcessor.ts | 10 ++++++++--
 .../web/src/features/queue/hooks/usePruneQueue.ts | 12 +++++++++---
 .../features/queue/hooks/useResumeProcessor.ts    | 10 ++++++++--
 12 files changed, 63 insertions(+), 28 deletions(-)

diff --git a/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx b/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx
index b08f6e9e20..8b883a9bb2 100644
--- a/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx
@@ -12,12 +12,12 @@ type Props = {
 
 const CancelCurrentQueueItemButton = ({ asIconButton, sx }: Props) => {
   const { t } = useTranslation();
-  const { cancelQueueItem, isLoading, currentQueueItemId } =
+  const { cancelQueueItem, isLoading, isDisabled } =
     useCancelCurrentQueueItem();
 
   return (
     <QueueButton
-      isDisabled={!currentQueueItemId}
+      isDisabled={isDisabled}
       isLoading={isLoading}
       asIconButton={asIconButton}
       label={t('queue.cancel')}
diff --git a/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx
index 8f727c3a8a..3de9f96142 100644
--- a/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx
@@ -13,7 +13,7 @@ type Props = {
 
 const ClearQueueButton = ({ asIconButton, sx }: Props) => {
   const { t } = useTranslation();
-  const { clearQueue, isLoading, queueStatus } = useClearQueue();
+  const { clearQueue, isLoading, isDisabled } = useClearQueue();
 
   return (
     <IAIAlertDialog
@@ -22,7 +22,7 @@ const ClearQueueButton = ({ asIconButton, sx }: Props) => {
       acceptButtonText={t('queue.clear')}
       triggerComponent={
         <QueueButton
-          isDisabled={!queueStatus?.queue.total}
+          isDisabled={isDisabled}
           isLoading={isLoading}
           asIconButton={asIconButton}
           label={t('queue.clear')}
diff --git a/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx b/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx
index 6de357b11f..cafb4bb667 100644
--- a/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx
@@ -10,14 +10,14 @@ type Props = {
 
 const PauseProcessorButton = ({ asIconButton }: Props) => {
   const { t } = useTranslation();
-  const { pauseProcessor, isLoading, isStarted } = usePauseProcessor();
+  const { pauseProcessor, isLoading, isDisabled } = usePauseProcessor();
 
   return (
     <QueueButton
       asIconButton={asIconButton}
       label={t('queue.pause')}
       tooltip={t('queue.pauseTooltip')}
-      isDisabled={!isStarted}
+      isDisabled={isDisabled}
       isLoading={isLoading}
       icon={<FaPause />}
       onClick={pauseProcessor}
diff --git a/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx
index 5aded74b45..2af234d42c 100644
--- a/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx
@@ -10,11 +10,11 @@ type Props = {
 
 const PruneQueueButton = ({ asIconButton }: Props) => {
   const { t } = useTranslation();
-  const { pruneQueue, isLoading, finishedCount } = usePruneQueue();
+  const { pruneQueue, isLoading, finishedCount, isDisabled } = usePruneQueue();
 
   return (
     <QueueButton
-      isDisabled={!finishedCount}
+      isDisabled={isDisabled}
       isLoading={isLoading}
       asIconButton={asIconButton}
       label={t('queue.prune')}
diff --git a/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx b/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx
index c0be296260..70e789fd4a 100644
--- a/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx
@@ -10,14 +10,14 @@ type Props = {
 
 const ResumeProcessorButton = ({ asIconButton }: Props) => {
   const { t } = useTranslation();
-  const { resumeProcessor, isLoading, isStarted } = useResumeProcessor();
+  const { resumeProcessor, isLoading, isDisabled } = useResumeProcessor();
 
   return (
     <QueueButton
       asIconButton={asIconButton}
       label={t('queue.resume')}
       tooltip={t('queue.resumeTooltip')}
-      isDisabled={isStarted}
+      isDisabled={isDisabled}
       isLoading={isLoading}
       icon={<FaPlay />}
       onClick={resumeProcessor}
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts
index 5281734357..42825f151b 100644
--- a/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts
+++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts
@@ -1,4 +1,4 @@
-import { useAppDispatch } from 'app/store/storeHooks';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { addToast } from 'features/system/store/systemSlice';
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -8,6 +8,7 @@ import {
 } from 'services/api/endpoints/queue';
 
 export const useCancelBatch = (batch_id: string) => {
+  const isConnected = useAppSelector((state) => state.system.isConnected);
   const { isCanceled } = useGetBatchStatusQuery(
     { batch_id },
     {
@@ -49,5 +50,5 @@ export const useCancelBatch = (batch_id: string) => {
     }
   }, [batch_id, dispatch, isCanceled, t, trigger]);
 
-  return { cancelBatch, isLoading, isCanceled };
+  return { cancelBatch, isLoading, isCanceled, isDisabled: !isConnected };
 };
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts
index 62f645fac9..308695dd67 100644
--- a/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts
+++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts
@@ -1,4 +1,4 @@
-import { useAppDispatch } from 'app/store/storeHooks';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { addToast } from 'features/system/store/systemSlice';
 import { useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -8,6 +8,7 @@ import {
 } from 'services/api/endpoints/queue';
 
 export const useCancelCurrentQueueItem = () => {
+  const isConnected = useAppSelector((state) => state.system.isConnected);
   const { data: queueStatus } = useGetQueueStatusQuery();
   const [trigger, { isLoading }] = useCancelQueueItemMutation();
   const dispatch = useAppDispatch();
@@ -38,5 +39,15 @@ export const useCancelCurrentQueueItem = () => {
     }
   }, [currentQueueItemId, dispatch, t, trigger]);
 
-  return { cancelQueueItem, isLoading, currentQueueItemId };
+  const isDisabled = useMemo(
+    () => !isConnected || !currentQueueItemId,
+    [isConnected, currentQueueItemId]
+  );
+
+  return {
+    cancelQueueItem,
+    isLoading,
+    currentQueueItemId,
+    isDisabled,
+  };
 };
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts
index 82ce5765f6..4582ef1223 100644
--- a/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts
+++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts
@@ -1,10 +1,11 @@
-import { useAppDispatch } from 'app/store/storeHooks';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { addToast } from 'features/system/store/systemSlice';
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { useCancelQueueItemMutation } from 'services/api/endpoints/queue';
 
 export const useCancelQueueItem = (item_id: number) => {
+  const isConnected = useAppSelector((state) => state.system.isConnected);
   const [trigger, { isLoading }] = useCancelQueueItemMutation();
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
@@ -27,5 +28,5 @@ export const useCancelQueueItem = (item_id: number) => {
     }
   }, [dispatch, item_id, t, trigger]);
 
-  return { cancelQueueItem, isLoading };
+  return { cancelQueueItem, isLoading, isDisabled: !isConnected };
 };
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts b/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts
index e09650bc44..a807e22ead 100644
--- a/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts
+++ b/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts
@@ -1,6 +1,6 @@
-import { useAppDispatch } from 'app/store/storeHooks';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { addToast } from 'features/system/store/systemSlice';
-import { useCallback } from 'react';
+import { useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import {
   useClearQueueMutation,
@@ -10,10 +10,9 @@ import { listCursorChanged, listPriorityChanged } from '../store/queueSlice';
 
 export const useClearQueue = () => {
   const { t } = useTranslation();
-
   const dispatch = useAppDispatch();
   const { data: queueStatus } = useGetQueueStatusQuery();
-
+  const isConnected = useAppSelector((state) => state.system.isConnected);
   const [trigger, { isLoading }] = useClearQueueMutation({
     fixedCacheKey: 'clearQueue',
   });
@@ -43,5 +42,10 @@ export const useClearQueue = () => {
     }
   }, [queueStatus?.queue.total, trigger, dispatch, t]);
 
-  return { clearQueue, isLoading, queueStatus };
+  const isDisabled = useMemo(
+    () => !isConnected || !queueStatus?.queue.total,
+    [isConnected, queueStatus?.queue.total]
+  );
+
+  return { clearQueue, isLoading, queueStatus, isDisabled };
 };
diff --git a/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts b/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts
index c9b31dafa6..938f989449 100644
--- a/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts
+++ b/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts
@@ -1,4 +1,4 @@
-import { useAppDispatch } from 'app/store/storeHooks';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { addToast } from 'features/system/store/systemSlice';
 import { useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -10,6 +10,7 @@ import {
 export const usePauseProcessor = () => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
+  const isConnected = useAppSelector((state) => state.system.isConnected);
   const { data: queueStatus } = useGetQueueStatusQuery();
   const [trigger, { isLoading }] = usePauseProcessorMutation({
     fixedCacheKey: 'pauseProcessor',
@@ -42,5 +43,10 @@ export const usePauseProcessor = () => {
     }
   }, [isStarted, trigger, dispatch, t]);
 
-  return { pauseProcessor, isLoading, isStarted };
+  const isDisabled = useMemo(
+    () => !isConnected || !isStarted,
+    [isConnected, isStarted]
+  );
+
+  return { pauseProcessor, isLoading, isStarted, isDisabled };
 };
diff --git a/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts b/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts
index 6d95a571e7..0cda8ffd02 100644
--- a/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts
+++ b/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts
@@ -1,6 +1,6 @@
-import { useAppDispatch } from 'app/store/storeHooks';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { addToast } from 'features/system/store/systemSlice';
-import { useCallback } from 'react';
+import { useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import {
   useGetQueueStatusQuery,
@@ -11,6 +11,7 @@ import { listCursorChanged, listPriorityChanged } from '../store/queueSlice';
 export const usePruneQueue = () => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
+  const isConnected = useAppSelector((state) => state.system.isConnected);
   const [trigger, { isLoading }] = usePruneQueueMutation({
     fixedCacheKey: 'pruneQueue',
   });
@@ -51,5 +52,10 @@ export const usePruneQueue = () => {
     }
   }, [finishedCount, trigger, dispatch, t]);
 
-  return { pruneQueue, isLoading, finishedCount };
+  const isDisabled = useMemo(
+    () => !isConnected || !finishedCount,
+    [finishedCount, isConnected]
+  );
+
+  return { pruneQueue, isLoading, finishedCount, isDisabled };
 };
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts b/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts
index 2097507b56..19e21339dd 100644
--- a/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts
+++ b/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts
@@ -1,4 +1,4 @@
-import { useAppDispatch } from 'app/store/storeHooks';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { addToast } from 'features/system/store/systemSlice';
 import { useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -9,6 +9,7 @@ import {
 
 export const useResumeProcessor = () => {
   const dispatch = useAppDispatch();
+  const isConnected = useAppSelector((state) => state.system.isConnected);
   const { data: queueStatus } = useGetQueueStatusQuery();
   const { t } = useTranslation();
   const [trigger, { isLoading }] = useResumeProcessorMutation({
@@ -42,5 +43,10 @@ export const useResumeProcessor = () => {
     }
   }, [isStarted, trigger, dispatch, t]);
 
-  return { resumeProcessor, isLoading, isStarted };
+  const isDisabled = useMemo(
+    () => !isConnected || isStarted,
+    [isConnected, isStarted]
+  );
+
+  return { resumeProcessor, isLoading, isStarted, isDisabled };
 };

From bf62553150d11605f9534bfd42b9f4832435bf7f Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Wed, 20 Sep 2023 19:01:26 -0400
Subject: [PATCH 225/265] (minor) Update documentation to reflect that a bug
 was fixed in InvokeAI/ip_adapter_sdxl_vit_h by
 https://huggingface.co/InvokeAI/ip_adapter_sdxl_vit_h/commit/e178288fb6fca1a64868ca1e8458722d4d27dbb5

---
 invokeai/backend/ip_adapter/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/ip_adapter/README.md b/invokeai/backend/ip_adapter/README.md
index 81b90d8e12..c85acae498 100644
--- a/invokeai/backend/ip_adapter/README.md
+++ b/invokeai/backend/ip_adapter/README.md
@@ -42,4 +42,4 @@ IP-Adapters:
 - [InvokeAI/ip_adapter_plus_sd15](https://huggingface.co/InvokeAI/ip_adapter_plus_sd15)
 - [InvokeAI/ip_adapter_plus_face_sd15](https://huggingface.co/InvokeAI/ip_adapter_plus_face_sd15)
 - [InvokeAI/ip_adapter_sdxl](https://huggingface.co/InvokeAI/ip_adapter_sdxl)
-- Not yet supported: [InvokeAI/ip_adapter_sdxl_vit_h](https://huggingface.co/InvokeAI/ip_adapter_sdxl_vit_h)
\ No newline at end of file
+- [InvokeAI/ip_adapter_sdxl_vit_h](https://huggingface.co/InvokeAI/ip_adapter_sdxl_vit_h)
\ No newline at end of file

From 7aa33c352b339bdca55bb22b071c54ec98c1a3c0 Mon Sep 17 00:00:00 2001
From: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Date: Wed, 20 Sep 2023 17:04:56 -0400
Subject: [PATCH 226/265] Update Diffusers to .21

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index b9410999ec..6d2b751af9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -40,7 +40,7 @@ dependencies = [
   "controlnet-aux>=0.0.6",
   "timm==0.6.13",   # needed to override timm latest in controlnet_aux, see  https://github.com/isl-org/ZoeDepth/issues/26
   "datasets",
-  "diffusers[torch]~=0.20.0",
+  "diffusers[torch]~=0.21.0",
   "dnspython~=2.4.0",
   "dynamicprompts",
   "easing-functions",

From 098d506b9522c5052b70aff213c1f20f63c95648 Mon Sep 17 00:00:00 2001
From: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Date: Wed, 20 Sep 2023 17:47:06 -0400
Subject: [PATCH 227/265] Update accelerate to .23

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 6d2b751af9..e9d24b7fa0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -32,7 +32,7 @@ classifiers = [
   'Topic :: Scientific/Engineering :: Image Processing',
 ]
 dependencies = [
-  "accelerate~=0.21.0",
+  "accelerate~=0.23.0",
   "albumentations",
   "click",
   "clip_anytorch",  # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip",

From 183e2c3ee0d1caef0c0cae540b96c0f60ec7dd4c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 08:48:03 +1000
Subject: [PATCH 228/265] fix(queue): fix duplicate queue item status events

---
 .../services/session_queue/session_queue_sqlite.py  | 13 ++++++-------
 1 file changed, 6 insertions(+), 7 deletions(-)

diff --git a/invokeai/app/services/session_queue/session_queue_sqlite.py b/invokeai/app/services/session_queue/session_queue_sqlite.py
index e1701aa288..1cedf09c89 100644
--- a/invokeai/app/services/session_queue/session_queue_sqlite.py
+++ b/invokeai/app/services/session_queue/session_queue_sqlite.py
@@ -77,7 +77,6 @@ class SqliteSessionQueue(SessionQueueBase):
             queue_item = self.get_queue_item(item_id)
             if queue_item.status not in ["completed", "failed", "canceled"]:
                 queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="completed")
-                self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
         except SessionQueueItemNotFoundError:
             return
 
@@ -86,8 +85,8 @@ class SqliteSessionQueue(SessionQueueBase):
             item_id = event[1]["data"]["queue_item_id"]
             error = event[1]["data"]["error"]
             queue_item = self.get_queue_item(item_id)
+            # always set to failed if have an error, even if previously the item was marked completed or canceled
             queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="failed", error=error)
-            self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
         except SessionQueueItemNotFoundError:
             return
 
@@ -95,8 +94,8 @@ class SqliteSessionQueue(SessionQueueBase):
         try:
             item_id = event[1]["data"]["queue_item_id"]
             queue_item = self.get_queue_item(item_id)
-            queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="canceled")
-            self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
+            if queue_item.status not in ["completed", "failed", "canceled"]:
+                queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="canceled")
         except SessionQueueItemNotFoundError:
             return
 
@@ -354,7 +353,6 @@ class SqliteSessionQueue(SessionQueueBase):
             return None
         queue_item = SessionQueueItem.from_dict(dict(result))
         queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="in_progress")
-        self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
         return queue_item
 
     def get_next(self, queue_id: str) -> Optional[SessionQueueItem]:
@@ -427,7 +425,9 @@ class SqliteSessionQueue(SessionQueueBase):
             raise
         finally:
             self.__lock.release()
-        return self.get_queue_item(item_id)
+        queue_item = self.get_queue_item(item_id)
+        self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
+        return queue_item
 
     def is_empty(self, queue_id: str) -> IsEmptyResult:
         try:
@@ -565,7 +565,6 @@ class SqliteSessionQueue(SessionQueueBase):
                 queue_batch_id=queue_item.batch_id,
                 graph_execution_state_id=queue_item.session_id,
             )
-            self.__invoker.services.events.emit_queue_item_status_changed(queue_item)
         return queue_item
 
     def cancel_by_batch_ids(self, queue_id: str, batch_ids: list[str]) -> CancelByBatchIDsResult:

From f87b042162992b293bd5208c764623b5e7aa206b Mon Sep 17 00:00:00 2001
From: CrypticWit <34725614+CrypticWit@users.noreply.github.com>
Date: Thu, 21 Sep 2023 13:16:15 +1200
Subject: [PATCH 229/265] feat(nodes): Center pasted nodes at mouse location
 (#4595)

* Initial commit.  Feature works, but code might need some cleanup

* Cleaned up diff

* Made mousePosition a XYPosition again so its nicely typed

* Fixed yarn issues

* Paste now properly takes node width/height into account when pasting

* feat(ui): use react's types in the `onMouseMove` `reactflow` handler

* feat(ui): use refs to access `reactflow`'s DOM elements

* feat(ui): use a ref to store cursor position in nodes

---------

Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
---
 .../features/nodes/components/flow/Flow.tsx   | 21 ++++++++++++--
 .../src/features/nodes/store/nodesSlice.ts    | 29 +++++++++++++++++--
 2 files changed, 44 insertions(+), 6 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/Flow.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/Flow.tsx
index 16af1fe12c..57e5825fb9 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/Flow.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/Flow.tsx
@@ -5,7 +5,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { $flow } from 'features/nodes/store/reactFlowInstance';
 import { contextMenusClosed } from 'features/ui/store/uiSlice';
-import { useCallback } from 'react';
+import { MouseEvent, useCallback, useRef } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
 import {
   Background,
@@ -21,6 +21,7 @@ import {
   OnSelectionChangeFunc,
   ProOptions,
   ReactFlow,
+  XYPosition,
 } from 'reactflow';
 import { useIsValidConnection } from '../../hooks/useIsValidConnection';
 import {
@@ -79,7 +80,8 @@ export const Flow = () => {
   const edges = useAppSelector((state) => state.nodes.edges);
   const viewport = useAppSelector((state) => state.nodes.viewport);
   const { shouldSnapToGrid, selectionMode } = useAppSelector(selector);
-
+  const flowWrapper = useRef<HTMLDivElement>(null);
+  const cursorPosition = useRef<XYPosition>();
   const isValidConnection = useIsValidConnection();
 
   const [borderRadius] = useToken('radii', ['base']);
@@ -154,6 +156,17 @@ export const Flow = () => {
     flow.fitView();
   }, []);
 
+  const onMouseMove = useCallback((event: MouseEvent<HTMLDivElement>) => {
+    const bounds = flowWrapper.current?.getBoundingClientRect();
+    if (bounds) {
+      const pos = $flow.get()?.project({
+        x: event.clientX - bounds.left,
+        y: event.clientY - bounds.top,
+      });
+      cursorPosition.current = pos;
+    }
+  }, []);
+
   useHotkeys(['Ctrl+c', 'Meta+c'], (e) => {
     e.preventDefault();
     dispatch(selectionCopied());
@@ -166,18 +179,20 @@ export const Flow = () => {
 
   useHotkeys(['Ctrl+v', 'Meta+v'], (e) => {
     e.preventDefault();
-    dispatch(selectionPasted());
+    dispatch(selectionPasted({ cursorPosition: cursorPosition.current }));
   });
 
   return (
     <ReactFlow
       id="workflow-editor"
+      ref={flowWrapper}
       defaultViewport={viewport}
       nodeTypes={nodeTypes}
       edgeTypes={edgeTypes}
       nodes={nodes}
       edges={edges}
       onInit={onInit}
+      onMouseMove={onMouseMove}
       onNodesChange={onNodesChange}
       onEdgesChange={onEdgesChange}
       onEdgesDelete={onEdgesDelete}
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index 325ab1ff16..e59105348f 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -16,6 +16,7 @@ import {
   OnConnectStartParams,
   SelectionMode,
   Viewport,
+  XYPosition,
 } from 'reactflow';
 import { receivedOpenAPISchema } from 'services/api/thunks/schema';
 import { sessionCanceled, sessionInvoked } from 'services/api/thunks/session';
@@ -715,8 +716,30 @@ const nodesSlice = createSlice({
     selectionCopied: (state) => {
       state.nodesToCopy = state.nodes.filter((n) => n.selected).map(cloneDeep);
       state.edgesToCopy = state.edges.filter((e) => e.selected).map(cloneDeep);
+
+      if (state.nodesToCopy.length > 0) {
+        const averagePosition = { x: 0, y: 0 };
+        state.nodesToCopy.forEach((e) => {
+          const xOffset = 0.15 * (e.width ?? 0);
+          const yOffset = 0.5 * (e.height ?? 0);
+          averagePosition.x += e.position.x + xOffset;
+          averagePosition.y += e.position.y + yOffset;
+        });
+
+        averagePosition.x /= state.nodesToCopy.length;
+        averagePosition.y /= state.nodesToCopy.length;
+
+        state.nodesToCopy.forEach((e) => {
+          e.position.x -= averagePosition.x;
+          e.position.y -= averagePosition.y;
+        });
+      }
     },
-    selectionPasted: (state) => {
+    selectionPasted: (
+      state,
+      action: PayloadAction<{ cursorPosition?: XYPosition }>
+    ) => {
+      const { cursorPosition } = action.payload;
       const newNodes = state.nodesToCopy.map(cloneDeep);
       const oldNodeIds = newNodes.map((n) => n.data.id);
       const newEdges = state.edgesToCopy
@@ -745,8 +768,8 @@ const nodesSlice = createSlice({
 
         const position = findUnoccupiedPosition(
           state.nodes,
-          node.position.x,
-          node.position.y
+          node.position.x + (cursorPosition?.x ?? 0),
+          node.position.y + (cursorPosition?.y ?? 0)
         );
 
         node.position = position;

From 1625854eaf51aab68f5348610e36821ffd3c2d5a Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 11:43:05 +1000
Subject: [PATCH 230/265] fix(nodes): fix ip-adapter field positioning on
 workflow editor

---
 invokeai/app/invocations/ip_adapter.py                      | 4 +---
 invokeai/frontend/web/src/features/nodes/types/constants.ts | 1 +
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index 0c5b858112..3e3a3d9b1f 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -58,9 +58,7 @@ class IPAdapterInvocation(BaseInvocation):
     # Inputs
     image: ImageField = InputField(description="The IP-Adapter image prompt.")
     ip_adapter_model: IPAdapterModelField = InputField(
-        description="The IP-Adapter model.",
-        title="IP-Adapter Model",
-        input=Input.Direct,
+        description="The IP-Adapter model.", title="IP-Adapter Model", input=Input.Direct, ui_order=-1
     )
 
     # weight: float = InputField(default=1.0, description="The weight of the IP-Adapter.", ui_type=UIType.Float)
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index a54f84d3f0..92a6a32e3a 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -116,6 +116,7 @@ export const TYPES_WITH_INPUT_COMPONENTS = [
   'ColorField',
   'SDXLMainModelField',
   'Scheduler',
+  'IPAdapterModelField',
 ];
 
 export const isPolymorphicItemType = (

From 28e6a7139b7e8c2c84409cc47d3e13505bd95005 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 13:07:15 +1000
Subject: [PATCH 231/265] fix(ui): add control adapters to canvas coherence
 pass

---
 .../graphBuilders/addControlNetToLinearGraph.ts  | 16 +++++++++++++++-
 .../graphBuilders/addIPAdapterToLinearGraph.ts   | 12 +++++++++++-
 2 files changed, 26 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts
index 491c6547ba..1df90624ef 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts
@@ -8,7 +8,11 @@ import {
   MetadataAccumulatorInvocation,
 } from 'services/api/types';
 import { NonNullableGraph } from '../../types/types';
-import { CONTROL_NET_COLLECT, METADATA_ACCUMULATOR } from './constants';
+import {
+  CANVAS_COHERENCE_DENOISE_LATENTS,
+  CONTROL_NET_COLLECT,
+  METADATA_ACCUMULATOR,
+} from './constants';
 
 export const addControlNetToLinearGraph = (
   state: RootState,
@@ -100,6 +104,16 @@ export const addControlNetToLinearGraph = (
             field: 'item',
           },
         });
+
+        if (CANVAS_COHERENCE_DENOISE_LATENTS in graph.nodes) {
+          graph.edges.push({
+            source: { node_id: controlNetNode.id, field: 'control' },
+            destination: {
+              node_id: CANVAS_COHERENCE_DENOISE_LATENTS,
+              field: 'control',
+            },
+          });
+        }
       });
     }
   }
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts
index da67b1d34d..d645b274ec 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts
@@ -1,7 +1,7 @@
 import { RootState } from 'app/store/store';
 import { IPAdapterInvocation } from 'services/api/types';
 import { NonNullableGraph } from '../../types/types';
-import { IP_ADAPTER } from './constants';
+import { CANVAS_COHERENCE_DENOISE_LATENTS, IP_ADAPTER } from './constants';
 
 export const addIPAdapterToLinearGraph = (
   state: RootState,
@@ -55,5 +55,15 @@ export const addIPAdapterToLinearGraph = (
         field: 'ip_adapter',
       },
     });
+
+    if (CANVAS_COHERENCE_DENOISE_LATENTS in graph.nodes) {
+      graph.edges.push({
+        source: { node_id: ipAdapterNode.id, field: 'ip_adapter' },
+        destination: {
+          node_id: CANVAS_COHERENCE_DENOISE_LATENTS,
+          field: 'ip_adapter',
+        },
+      });
+    }
   }
 };

From 02c087ee37e711ece610b7c6aef30108b0ba76bb Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 14:10:44 +1000
Subject: [PATCH 232/265] feat(ui): hide clipskip on sdxl; do not add to
 metadata

Hide it until #4624 is ready
---
 .../buildCanvasSDXLImageToImageGraph.ts        |  2 --
 .../buildCanvasSDXLTextToImageGraph.ts         |  2 --
 .../buildLinearSDXLImageToImageGraph.ts        |  2 --
 .../buildLinearSDXLTextToImageGraph.ts         |  2 --
 .../Advanced/ParamAdvancedCollapse.tsx         | 18 +++++++++++-------
 .../Parameters/Advanced/ParamClipSkip.tsx      |  4 ++++
 6 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index 36fc66e559..d958b78a90 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -45,7 +45,6 @@ export const buildCanvasSDXLImageToImageGraph = (
     seed,
     steps,
     vaePrecision,
-    clipSkip,
     shouldUseCpuNoise,
     seamlessXAxis,
     seamlessYAxis,
@@ -339,7 +338,6 @@ export const buildCanvasSDXLImageToImageGraph = (
     vae: undefined, // option; set in addVAEToGraph
     controlnets: [], // populated in addControlNetToLinearGraph
     loras: [], // populated in addLoRAsToGraph
-    clip_skip: clipSkip,
     strength,
     init_image: initialImage.image_name,
   };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index 37245d7b6a..9f9a442b99 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -46,7 +46,6 @@ export const buildCanvasSDXLTextToImageGraph = (
     seed,
     steps,
     vaePrecision,
-    clipSkip,
     shouldUseCpuNoise,
     seamlessXAxis,
     seamlessYAxis,
@@ -321,7 +320,6 @@ export const buildCanvasSDXLTextToImageGraph = (
     vae: undefined, // option; set in addVAEToGraph
     controlnets: [], // populated in addControlNetToLinearGraph
     loras: [], // populated in addLoRAsToGraph
-    clip_skip: clipSkip,
   };
 
   graph.edges.push({
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index b10f4c5542..bc02fb5a66 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -49,7 +49,6 @@ export const buildLinearSDXLImageToImageGraph = (
     shouldFitToWidthHeight,
     width,
     height,
-    clipSkip,
     shouldUseCpuNoise,
     vaePrecision,
     seamlessXAxis,
@@ -349,7 +348,6 @@ export const buildLinearSDXLImageToImageGraph = (
     vae: undefined,
     controlnets: [],
     loras: [],
-    clip_skip: clipSkip,
     strength: strength,
     init_image: initialImage.imageName,
     positive_style_prompt: positiveStylePrompt,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 73c831081d..22a7dd4192 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -38,7 +38,6 @@ export const buildLinearSDXLTextToImageGraph = (
     steps,
     width,
     height,
-    clipSkip,
     shouldUseCpuNoise,
     vaePrecision,
     seamlessXAxis,
@@ -243,7 +242,6 @@ export const buildLinearSDXLTextToImageGraph = (
     vae: undefined,
     controlnets: [],
     loras: [],
-    clip_skip: clipSkip,
     positive_style_prompt: positiveStylePrompt,
     negative_style_prompt: negativeStylePrompt,
   };
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx
index dea4bb7b3d..85b6eaa903 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx
@@ -13,16 +13,16 @@ import ParamClipSkip from './ParamClipSkip';
 const selector = createSelector(
   stateSelector,
   (state: RootState) => {
-    const { clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise } =
+    const { clipSkip, model, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise } =
       state.generation;
 
-    return { clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise };
+    return { clipSkip, model, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise };
   },
   defaultSelectorOptions
 );
 
 export default function ParamAdvancedCollapse() {
-  const { clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise } =
+  const { clipSkip, model, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise } =
     useAppSelector(selector);
   const { t } = useTranslation();
   const activeLabel = useMemo(() => {
@@ -34,7 +34,7 @@ export default function ParamAdvancedCollapse() {
       activeLabel.push(t('parameters.gpuNoise'));
     }
 
-    if (clipSkip > 0) {
+    if (clipSkip > 0 && model && model.base_model !== 'sdxl') {
       activeLabel.push(
         t('parameters.clipSkipWithLayerCount', { layerCount: clipSkip })
       );
@@ -49,15 +49,19 @@ export default function ParamAdvancedCollapse() {
     }
 
     return activeLabel.join(', ');
-  }, [clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise, t]);
+  }, [clipSkip, model, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise, t]);
 
   return (
     <IAICollapse label={t('common.advanced')} activeLabel={activeLabel}>
       <Flex sx={{ flexDir: 'column', gap: 2 }}>
         <ParamSeamless />
         <Divider />
-        <ParamClipSkip />
-        <Divider pt={2} />
+        {model && model?.base_model !== 'sdxl' && (
+          <>
+            <ParamClipSkip />
+            <Divider pt={2} />
+          </>
+        )}
         <ParamCpuNoiseToggle />
       </Flex>
     </IAICollapse>
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
index a7d3d3c655..a5ab8b9a94 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
@@ -42,6 +42,10 @@ export default function ParamClipSkip() {
     return clipSkipMap[model.base_model].markers;
   }, [model]);
 
+  if (model?.base_model === 'sdxl') {
+    return null;
+  }
+
   return (
     <IAIInformationalPopover details="clipSkip">
       <IAISlider

From aa4b56baf201d223dea1e6c1760e55ab74e63e3c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 14:50:55 +1000
Subject: [PATCH 233/265] feat(ui): enable control adapters on image drop

- Dropping/uploading an image on control adapter enables it (controlnet & ip adapter)
- The image components are always enabled to allow this
---
 .../listeners/imageDropped.ts                 |  9 +++++++
 .../listeners/imageUploaded.ts                |  9 +++++++
 .../controlNet/components/ControlNet.tsx      | 22 +++++++++++------
 .../components/ControlNetImagePreview.tsx     |  8 ++-----
 .../ipAdapter/ParamIPAdapterFeatureToggle.tsx | 13 ++++++----
 .../ipAdapter/ParamIPAdapterImage.tsx         | 24 ++++++++++---------
 .../ipAdapter/ParamIPAdapterModelSelect.tsx   |  4 ++++
 .../controlNet/store/controlNetSlice.ts       | 16 ++++++-------
 .../ControlNet/ParamControlNetCollapse.tsx    |  7 +++---
 9 files changed, 72 insertions(+), 40 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
index e8b4aa9210..d38a20a917 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
@@ -4,7 +4,9 @@ import { parseify } from 'common/util/serialize';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
 import {
   controlNetImageChanged,
+  controlNetIsEnabledChanged,
   ipAdapterImageChanged,
+  isIPAdapterEnabledChanged,
 } from 'features/controlNet/store/controlNetSlice';
 import {
   TypesafeDraggableData,
@@ -99,6 +101,12 @@ export const addImageDroppedListener = () => {
             controlNetId,
           })
         );
+        dispatch(
+          controlNetIsEnabledChanged({
+            controlNetId,
+            isEnabled: true,
+          })
+        );
         return;
       }
 
@@ -111,6 +119,7 @@ export const addImageDroppedListener = () => {
         activeData.payload.imageDTO
       ) {
         dispatch(ipAdapterImageChanged(activeData.payload.imageDTO));
+        dispatch(isIPAdapterEnabledChanged(true));
         return;
       }
 
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
index 1c7caaeb2f..b27c922342 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
@@ -3,7 +3,9 @@ import { logger } from 'app/logging/logger';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
 import {
   controlNetImageChanged,
+  controlNetIsEnabledChanged,
   ipAdapterImageChanged,
+  isIPAdapterEnabledChanged,
 } from 'features/controlNet/store/controlNetSlice';
 import { fieldImageValueChanged } from 'features/nodes/store/nodesSlice';
 import { initialImageChanged } from 'features/parameters/store/generationSlice';
@@ -87,6 +89,12 @@ export const addImageUploadedFulfilledListener = () => {
 
       if (postUploadAction?.type === 'SET_CONTROLNET_IMAGE') {
         const { controlNetId } = postUploadAction;
+        dispatch(
+          controlNetIsEnabledChanged({
+            controlNetId,
+            isEnabled: true,
+          })
+        );
         dispatch(
           controlNetImageChanged({
             controlNetId,
@@ -104,6 +112,7 @@ export const addImageUploadedFulfilledListener = () => {
 
       if (postUploadAction?.type === 'SET_IP_ADAPTER_IMAGE') {
         dispatch(ipAdapterImageChanged(imageDTO));
+        dispatch(isIPAdapterEnabledChanged(true));
         dispatch(
           addToast({
             ...DEFAULT_UPLOADED_TOAST,
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
index 13ceaf4173..3d00359d18 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
@@ -1,12 +1,12 @@
 import { Box, Flex } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { memo, useCallback } from 'react';
+import { ChangeEvent, memo, useCallback } from 'react';
 import { FaCopy, FaTrash } from 'react-icons/fa';
 import {
   ControlNetConfig,
   controlNetDuplicated,
   controlNetRemoved,
-  controlNetToggled,
+  controlNetIsEnabledChanged,
 } from '../store/controlNetSlice';
 import ParamControlNetModel from './parameters/ParamControlNetModel';
 import ParamControlNetWeight from './parameters/ParamControlNetWeight';
@@ -77,9 +77,17 @@ const ControlNet = (props: ControlNetProps) => {
     );
   }, [controlNetId, dispatch]);
 
-  const handleToggleIsEnabled = useCallback(() => {
-    dispatch(controlNetToggled({ controlNetId }));
-  }, [controlNetId, dispatch]);
+  const handleToggleIsEnabled = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(
+        controlNetIsEnabledChanged({
+          controlNetId,
+          isEnabled: e.target.checked,
+        })
+      );
+    },
+    [controlNetId, dispatch]
+  );
 
   return (
     <Flex
@@ -106,8 +114,8 @@ const ControlNet = (props: ControlNetProps) => {
           sx={{
             w: 'full',
             minW: 0,
-            opacity: isEnabled ? 1 : 0.5,
-            pointerEvents: isEnabled ? 'auto' : 'none',
+            // opacity: isEnabled ? 1 : 0.5,
+            // pointerEvents: isEnabled ? 'auto' : 'none',
             transitionProperty: 'common',
             transitionDuration: '0.1s',
           }}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
index 02c65c1c83..0b1e0dab87 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
@@ -13,6 +13,7 @@ import {
 import { setHeight, setWidth } from 'features/parameters/store/generationSlice';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { memo, useCallback, useMemo, useState } from 'react';
+import { useTranslation } from 'react-i18next';
 import { FaRulerVertical, FaSave, FaUndo } from 'react-icons/fa';
 import {
   useAddImageToBoardMutation,
@@ -26,7 +27,6 @@ import {
   ControlNetConfig,
   controlNetImageChanged,
 } from '../store/controlNetSlice';
-import { useTranslation } from 'react-i18next';
 
 type Props = {
   controlNet: ControlNetConfig;
@@ -52,7 +52,6 @@ const ControlNetImagePreview = ({ isSmall, controlNet }: Props) => {
     controlImage: controlImageName,
     processedControlImage: processedControlImageName,
     processorType,
-    isEnabled,
     controlNetId,
   } = controlNet;
 
@@ -172,15 +171,13 @@ const ControlNetImagePreview = ({ isSmall, controlNet }: Props) => {
         h: isSmall ? 28 : 366, // magic no touch
         alignItems: 'center',
         justifyContent: 'center',
-        pointerEvents: isEnabled ? 'auto' : 'none',
-        opacity: isEnabled ? 1 : 0.5,
       }}
     >
       <IAIDndImage
         draggableData={draggableData}
         droppableData={droppableData}
         imageDTO={controlImage}
-        isDropDisabled={shouldShowProcessedImage || !isEnabled}
+        isDropDisabled={shouldShowProcessedImage}
         postUploadAction={postUploadAction}
       />
 
@@ -202,7 +199,6 @@ const ControlNetImagePreview = ({ isSmall, controlNet }: Props) => {
           droppableData={droppableData}
           imageDTO={processedControlImage}
           isUploadDisabled={true}
-          isDropDisabled={!isEnabled}
         />
       </Box>
 
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx
index c077e7a824..7fae538cf0 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx
@@ -3,8 +3,8 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
-import { isIPAdapterEnableToggled } from 'features/controlNet/store/controlNetSlice';
-import { memo, useCallback } from 'react';
+import { isIPAdapterEnabledChanged } from 'features/controlNet/store/controlNetSlice';
+import { ChangeEvent, memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
 const selector = createSelector(
@@ -22,9 +22,12 @@ const ParamIPAdapterFeatureToggle = () => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
-  const handleChange = useCallback(() => {
-    dispatch(isIPAdapterEnableToggled());
-  }, [dispatch]);
+  const handleChange = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(isIPAdapterEnabledChanged(e.target.checked));
+    },
+    [dispatch]
+  );
 
   return (
     <IAISwitch
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
index ed92705c23..21229a81a5 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx
@@ -1,7 +1,9 @@
 import { Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
-import { RootState } from 'app/store/store';
+import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIDndImage from 'common/components/IAIDndImage';
 import IAIDndImageIcon from 'common/components/IAIDndImageIcon';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
@@ -16,15 +18,17 @@ import { FaUndo } from 'react-icons/fa';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { PostUploadAction } from 'services/api/types';
 
+const selector = createSelector(
+  stateSelector,
+  ({ controlNet }) => {
+    const { ipAdapterInfo } = controlNet;
+    return { ipAdapterInfo };
+  },
+  defaultSelectorOptions
+);
+
 const ParamIPAdapterImage = () => {
-  const ipAdapterInfo = useAppSelector(
-    (state: RootState) => state.controlNet.ipAdapterInfo
-  );
-
-  const isIPAdapterEnabled = useAppSelector(
-    (state: RootState) => state.controlNet.isIPAdapterEnabled
-  );
-
+  const { ipAdapterInfo } = useAppSelector(selector);
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
@@ -71,8 +75,6 @@ const ParamIPAdapterImage = () => {
         droppableData={droppableData}
         draggableData={draggableData}
         postUploadAction={postUploadAction}
-        isUploadDisabled={!isIPAdapterEnabled}
-        isDropDisabled={!isIPAdapterEnabled}
         dropLabel={t('toast.setIPAdapterImage')}
         noContentFallback={
           <IAINoContentFallback
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx
index fec1790b53..8fb738d025 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx
@@ -11,6 +11,9 @@ import { useTranslation } from 'react-i18next';
 import { useGetIPAdapterModelsQuery } from 'services/api/endpoints/models';
 
 const ParamIPAdapterModelSelect = () => {
+  const isEnabled = useAppSelector(
+    (state: RootState) => state.controlNet.isIPAdapterEnabled
+  );
   const ipAdapterModel = useAppSelector(
     (state: RootState) => state.controlNet.ipAdapterInfo.model
   );
@@ -90,6 +93,7 @@ const ParamIPAdapterModelSelect = () => {
       data={data}
       onChange={handleValueChanged}
       sx={{ width: '100%' }}
+      disabled={!isEnabled}
     />
   );
 };
diff --git a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
index 3fe57f4a84..70c459f0a4 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
@@ -146,16 +146,16 @@ export const controlNetSlice = createSlice({
       const { controlNetId } = action.payload;
       delete state.controlNets[controlNetId];
     },
-    controlNetToggled: (
+    controlNetIsEnabledChanged: (
       state,
-      action: PayloadAction<{ controlNetId: string }>
+      action: PayloadAction<{ controlNetId: string; isEnabled: boolean }>
     ) => {
-      const { controlNetId } = action.payload;
+      const { controlNetId, isEnabled } = action.payload;
       const cn = state.controlNets[controlNetId];
       if (!cn) {
         return;
       }
-      cn.isEnabled = !cn.isEnabled;
+      cn.isEnabled = isEnabled;
     },
     controlNetImageChanged: (
       state,
@@ -377,8 +377,8 @@ export const controlNetSlice = createSlice({
     controlNetReset: () => {
       return { ...initialControlNetState };
     },
-    isIPAdapterEnableToggled: (state) => {
-      state.isIPAdapterEnabled = !state.isIPAdapterEnabled;
+    isIPAdapterEnabledChanged: (state, action: PayloadAction<boolean>) => {
+      state.isIPAdapterEnabled = action.payload;
     },
     ipAdapterImageChanged: (state, action: PayloadAction<ImageDTO | null>) => {
       state.ipAdapterInfo.adapterImage = action.payload;
@@ -450,7 +450,7 @@ export const {
   controlNetRemoved,
   controlNetImageChanged,
   controlNetProcessedImageChanged,
-  controlNetToggled,
+  controlNetIsEnabledChanged,
   controlNetModelChanged,
   controlNetWeightChanged,
   controlNetBeginStepPctChanged,
@@ -461,7 +461,7 @@ export const {
   controlNetProcessorTypeChanged,
   controlNetReset,
   controlNetAutoConfigToggled,
-  isIPAdapterEnableToggled,
+  isIPAdapterEnabledChanged,
   ipAdapterImageChanged,
   ipAdapterWeightChanged,
   ipAdapterModelChanged,
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
index cd276713c3..844bda8b3d 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
@@ -23,17 +23,18 @@ import { v4 as uuidv4 } from 'uuid';
 const selector = createSelector(
   [stateSelector],
   ({ controlNet }) => {
-    const { controlNets, isEnabled, isIPAdapterEnabled } = controlNet;
+    const { controlNets, isEnabled, isIPAdapterEnabled, ipAdapterInfo } =
+      controlNet;
 
     const validControlNets = getValidControlNets(controlNets);
-
+    const isIPAdapterValid = ipAdapterInfo.model && ipAdapterInfo.adapterImage;
     let activeLabel = undefined;
 
     if (isEnabled && validControlNets.length > 0) {
       activeLabel = `${validControlNets.length} ControlNet`;
     }
 
-    if (isIPAdapterEnabled) {
+    if (isIPAdapterEnabled && isIPAdapterValid) {
       if (activeLabel) {
         activeLabel = `${activeLabel}, IP Adapter`;
       } else {

From 83ce8ef1ec375f5a5b3f5582c5c3355c496fb2a6 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 14:54:47 +1000
Subject: [PATCH 234/265] fix(nodes): clipskip metadata entry is optional

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

diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index 39fa3beba0..a84befcb2e 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -42,7 +42,8 @@ class CoreMetadata(BaseModelExcludeNull):
     cfg_scale: float = Field(description="The classifier-free guidance scale parameter")
     steps: int = Field(description="The number of steps used for inference")
     scheduler: str = Field(description="The scheduler used for inference")
-    clip_skip: int = Field(
+    clip_skip: Optional[int] = Field(
+        default=None,
         description="The number of skipped CLIP layers",
     )
     model: MainModelField = Field(description="The main model used for inference")
@@ -116,7 +117,8 @@ class MetadataAccumulatorInvocation(BaseInvocation):
     cfg_scale: float = InputField(description="The classifier-free guidance scale parameter")
     steps: int = InputField(description="The number of steps used for inference")
     scheduler: str = InputField(description="The scheduler used for inference")
-    clip_skip: int = InputField(
+    clip_skip: Optional[int] = Field(
+        default=None,
         description="The number of skipped CLIP layers",
     )
     model: MainModelField = InputField(description="The main model used for inference")

From b4790002c76ef3ed045c01b4038ee4d0f8bd4864 Mon Sep 17 00:00:00 2001
From: Wubbbi <clari.skyrim63@gmail.com>
Date: Thu, 21 Sep 2023 13:45:55 +0200
Subject: [PATCH 235/265] Add python-socketio depencency (mandatory)

---
 pyproject.toml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pyproject.toml b/pyproject.toml
index e9d24b7fa0..c2a9bae494 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -67,6 +67,7 @@ dependencies = [
   'pyperclip',
   "pyreadline3",
   "python-multipart",
+  "python-socketio",
   "pytorch-lightning",
   "realesrgan",
   "requests~=2.28.2",

From 6d1057c5601af27b2a03f7d18da095b90bc0b3ad Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 16:41:35 +1000
Subject: [PATCH 236/265] fix(ui): skip firing collision detection on dnd when
 droppable scrolled out

Requires some additional logic in the collision detection algorithm.

Closes #4621
---
 .../src/common/components/IAIDroppable.tsx    |  2 +-
 .../features/dnd/components/AppDndContext.tsx |  4 +-
 .../features/dnd/util/customPointerWithin.ts  | 38 +++++++++++++++++++
 3 files changed, 41 insertions(+), 3 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/dnd/util/customPointerWithin.ts

diff --git a/invokeai/frontend/web/src/common/components/IAIDroppable.tsx b/invokeai/frontend/web/src/common/components/IAIDroppable.tsx
index e4fb121c78..bf98961c21 100644
--- a/invokeai/frontend/web/src/common/components/IAIDroppable.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIDroppable.tsx
@@ -31,7 +31,7 @@ const IAIDroppable = (props: IAIDroppableProps) => {
       insetInlineStart={0}
       w="full"
       h="full"
-      pointerEvents="none"
+      pointerEvents={active ? 'auto' : 'none'}
     >
       <AnimatePresence>
         {isValidDrop(data, active) && (
diff --git a/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx b/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx
index bffe738aa9..bd77383843 100644
--- a/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx
+++ b/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx
@@ -2,7 +2,6 @@ import {
   DragOverlay,
   MouseSensor,
   TouchSensor,
-  pointerWithin,
   useSensor,
   useSensors,
 } from '@dnd-kit/core';
@@ -14,6 +13,7 @@ import { AnimatePresence, motion } from 'framer-motion';
 import { PropsWithChildren, memo, useCallback, useState } from 'react';
 import { useScaledModifer } from '../hooks/useScaledCenteredModifer';
 import { DragEndEvent, DragStartEvent, TypesafeDraggableData } from '../types';
+import { customPointerWithin } from '../util/customPointerWithin';
 import { DndContextTypesafe } from './DndContextTypesafe';
 import DragPreview from './DragPreview';
 
@@ -77,7 +77,7 @@ const AppDndContext = (props: PropsWithChildren) => {
       onDragStart={handleDragStart}
       onDragEnd={handleDragEnd}
       sensors={sensors}
-      collisionDetection={pointerWithin}
+      collisionDetection={customPointerWithin}
       autoScroll={false}
     >
       {props.children}
diff --git a/invokeai/frontend/web/src/features/dnd/util/customPointerWithin.ts b/invokeai/frontend/web/src/features/dnd/util/customPointerWithin.ts
new file mode 100644
index 0000000000..68f1e98b16
--- /dev/null
+++ b/invokeai/frontend/web/src/features/dnd/util/customPointerWithin.ts
@@ -0,0 +1,38 @@
+import { CollisionDetection, pointerWithin } from '@dnd-kit/core';
+
+/**
+ * Filters out droppable elements that are overflowed, then applies the pointerWithin collision detection.
+ *
+ * Fixes collision detection firing on droppables that are not visible, having been scrolled out of view.
+ *
+ * See https://github.com/clauderic/dnd-kit/issues/1198
+ */
+export const customPointerWithin: CollisionDetection = (arg) => {
+  if (!arg.pointerCoordinates) {
+    // sanity check
+    return [];
+  }
+
+  // Get all elements at the pointer coordinates. This excludes elements which are overflowed,
+  // so it won't include the droppable elements that are scrolled out of view.
+  const targetElements = document.elementsFromPoint(
+    arg.pointerCoordinates.x,
+    arg.pointerCoordinates.y
+  );
+
+  const filteredDroppableContainers = arg.droppableContainers.filter(
+    (container) => {
+      if (!container.node.current) {
+        return false;
+      }
+      // Only include droppable elements that are in the list of elements at the pointer coordinates.
+      return targetElements.includes(container.node.current);
+    }
+  );
+
+  // Run the provided collision detection with the filtered droppable elements.
+  return pointerWithin({
+    ...arg,
+    droppableContainers: filteredDroppableContainers,
+  });
+};

From b6e9cd4fe2d314fc229a49f731ab8104835c1f98 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 17:21:25 +1000
Subject: [PATCH 237/265] feat(ui): show cursor on drag previews

---
 .../frontend/web/src/features/dnd/components/AppDndContext.tsx  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx b/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx
index bd77383843..520abc33ed 100644
--- a/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx
+++ b/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx
@@ -87,7 +87,7 @@ const AppDndContext = (props: PropsWithChildren) => {
         style={{
           width: 'min-content',
           height: 'min-content',
-          cursor: 'none',
+          cursor: 'grabbing',
           userSelect: 'none',
           // expand overlay to prevent cursor from going outside it and displaying
           padding: '10rem',

From 5aefa49d7d80ce3cd7e79a1f70cb3c5aec66dd7d Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 20:01:00 +1000
Subject: [PATCH 238/265] fix(ui): popover ref & wrapping of children (wip)

---
 invokeai/frontend/web/public/locales/en.json  | 18 ++--
 .../components/IAIInformationalPopover.tsx    | 86 +++++++++++--------
 .../components/IAIMantineMultiSelect.tsx      | 10 ++-
 .../components/IAIMantineSearchableSelect.tsx | 10 ++-
 .../common/components/IAIMantineSelect.tsx    | 10 ++-
 .../src/common/components/IAINumberInput.tsx  |  8 +-
 .../web/src/common/components/IAISlider.tsx   |  8 +-
 .../web/src/common/components/IAISwitch.tsx   |  2 +
 .../Parameters/Core/ParamIterations.tsx       |  4 +-
 .../Core/ParamNegativeConditioning.tsx        | 47 +++++-----
 .../Core/ParamPositiveConditioning.tsx        | 23 ++---
 .../MainModel/ParamMainModelSelect.tsx        | 18 ++--
 .../web/src/theme/components/popover.ts       |  2 +-
 13 files changed, 140 insertions(+), 106 deletions(-)

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index c309e4de50..f48df3368f 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -1213,14 +1213,14 @@
         },
         "dynamicPromptsCombinatorial": {
             "heading": "Combinatorial Generation",
-            "paragraph": "Generate an image for every possible combination of Dynamic Prompt until the Max Prompts is reached."
+            "paragraph": "Generate an image for every possible combination of Dynamic Prompts until the Max Prompts is reached."
         },
         "infillMethod": {
             "heading": "Infill Method",
             "paragraph": "Method to infill the selected area."
         },
         "lora": {
-            "heading": "LoRA",
+            "heading": "LoRA Weight",
             "paragraph": "Weight of the LoRA. Higher weight will lead to larger impacts on the final image."
         },
         "noiseEnable": {
@@ -1239,21 +1239,21 @@
             "heading": "Denoising Strength",
             "paragraph": "How much noise is added to the input image. 0 will result in an identical image, while 1 will result in a completely new image."
         },
-        "paramImages": {
-            "heading": "Images",
-            "paragraph": "Number of images that will be generated."
+        "paramIterations": {
+            "heading": "Iterations",
+            "paragraph": "The number of images to generate. If Dynamic Prompts is enabled, each of the prompts will be generated this many times."
         },
         "paramModel": {
             "heading": "Model",
             "paragraph": "Model used for the denoising steps. Different models are trained to specialize in producing different aesthetic results and content."
         },
         "paramNegativeConditioning": {
-            "heading": "Negative Prompts",
-            "paragraph": "This is where you enter your negative prompts."
+            "heading": "Negative Prompt",
+            "paragraph": "The generation process avoids the concepts in the negative prompt. Use this to exclude qualities or objects from the output. Supports Compel syntax and embeddings."
         },
         "paramPositiveConditioning": {
-            "heading": "Positive Prompts",
-            "paragraph": "This is where you enter your positive prompts."
+            "heading": "Positive Prompt",
+            "paragraph": "Guides the generation process. You may use any words or phrases. Supports Compel and Dynamic Prompts syntaxes and embeddings."
         },
         "paramRatio": {
             "heading": "Ratio",
diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
index 876ce6488a..4a9dd82665 100644
--- a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
@@ -1,37 +1,43 @@
 import {
+  Box,
   Button,
-  Popover,
-  PopoverTrigger,
-  PopoverContent,
-  PopoverArrow,
-  PopoverCloseButton,
-  PopoverHeader,
-  PopoverBody,
-  PopoverProps,
+  Divider,
   Flex,
-  Text,
+  Heading,
   Image,
+  Popover,
+  PopoverArrow,
+  PopoverBody,
+  PopoverCloseButton,
+  PopoverContent,
+  PopoverProps,
+  PopoverTrigger,
+  Portal,
+  Text,
 } from '@chakra-ui/react';
-import { useAppSelector } from '../../app/store/storeHooks';
+import { ReactNode, memo } from 'react';
 import { useTranslation } from 'react-i18next';
+import { useAppSelector } from '../../app/store/storeHooks';
 
-interface Props extends PopoverProps {
+const OPEN_DELAY = 1500;
+
+type Props = Omit<PopoverProps, 'children'> & {
   details: string;
-  children: JSX.Element;
+  children: ReactNode;
   image?: string;
   buttonLabel?: string;
   buttonHref?: string;
   placement?: PopoverProps['placement'];
-}
+};
 
-function IAIInformationalPopover({
+const IAIInformationalPopover = ({
   details,
   image,
   buttonLabel,
   buttonHref,
   children,
   placement,
-}: Props): JSX.Element {
+}: Props) => {
   const shouldEnableInformationalPopovers = useAppSelector(
     (state) => state.system.shouldEnableInformationalPopovers
   );
@@ -41,18 +47,21 @@ function IAIInformationalPopover({
   const paragraph = t(`popovers.${details}.paragraph`);
 
   if (!shouldEnableInformationalPopovers) {
-    return children;
-  } else {
-    return (
-      <Popover
-        placement={placement || 'top'}
-        closeOnBlur={false}
-        trigger="hover"
-        variant="informational"
-      >
-        <PopoverTrigger>
-          <div>{children}</div>
-        </PopoverTrigger>
+    return <>{children}</>;
+  }
+
+  return (
+    <Popover
+      placement={placement || 'top'}
+      closeOnBlur={false}
+      trigger="hover"
+      variant="informational"
+      openDelay={OPEN_DELAY}
+    >
+      <PopoverTrigger>
+        <Box w="full">{children}</Box>
+      </PopoverTrigger>
+      <Portal>
         <PopoverContent>
           <PopoverArrow />
           <PopoverCloseButton />
@@ -83,14 +92,17 @@ function IAIInformationalPopover({
                   gap: 3,
                   flexDirection: 'column',
                   width: '100%',
-                  p: 3,
-                  pt: heading ? 0 : 3,
                 }}
               >
-                {heading && <PopoverHeader>{heading}</PopoverHeader>}
-                <Text sx={{ px: 3 }}>{paragraph}</Text>
+                {heading && (
+                  <>
+                    <Heading size="sm">{heading}</Heading>
+                    <Divider />
+                  </>
+                )}
+                <Text>{paragraph}</Text>
                 {buttonLabel && (
-                  <Flex sx={{ px: 3 }} justifyContent="flex-end">
+                  <Flex justifyContent="flex-end">
                     <Button
                       onClick={() => window.open(buttonHref)}
                       size="sm"
@@ -104,9 +116,9 @@ function IAIInformationalPopover({
             </Flex>
           </PopoverBody>
         </PopoverContent>
-      </Popover>
-    );
-  }
-}
+      </Portal>
+    </Popover>
+  );
+};
 
-export default IAIInformationalPopover;
+export default memo(IAIInformationalPopover);
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx
index 28c680b824..07a7ada88d 100644
--- a/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx
@@ -1,4 +1,4 @@
-import { FormControl, FormLabel, Tooltip } from '@chakra-ui/react';
+import { FormControl, FormLabel, Tooltip, forwardRef } from '@chakra-ui/react';
 import { MultiSelect, MultiSelectProps } from '@mantine/core';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { shiftKeyPressed } from 'features/ui/store/hotkeysSlice';
@@ -11,7 +11,7 @@ type IAIMultiSelectProps = Omit<MultiSelectProps, 'label'> & {
   label?: string;
 };
 
-const IAIMantineMultiSelect = (props: IAIMultiSelectProps) => {
+const IAIMantineMultiSelect = forwardRef((props: IAIMultiSelectProps, ref) => {
   const {
     searchable = true,
     tooltip,
@@ -47,7 +47,7 @@ const IAIMantineMultiSelect = (props: IAIMultiSelectProps) => {
       <MultiSelect
         label={
           label ? (
-            <FormControl isDisabled={disabled}>
+            <FormControl ref={ref} isDisabled={disabled}>
               <FormLabel>{label}</FormLabel>
             </FormControl>
           ) : undefined
@@ -63,6 +63,8 @@ const IAIMantineMultiSelect = (props: IAIMultiSelectProps) => {
       />
     </Tooltip>
   );
-};
+});
+
+IAIMantineMultiSelect.displayName = 'IAIMantineMultiSelect';
 
 export default memo(IAIMantineMultiSelect);
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
index 079421d4e5..1ed8490848 100644
--- a/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
@@ -1,4 +1,4 @@
-import { FormControl, FormLabel, Tooltip } from '@chakra-ui/react';
+import { FormControl, FormLabel, Tooltip, forwardRef } from '@chakra-ui/react';
 import { Select, SelectProps } from '@mantine/core';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { shiftKeyPressed } from 'features/ui/store/hotkeysSlice';
@@ -17,7 +17,7 @@ type IAISelectProps = Omit<SelectProps, 'label'> & {
   inputRef?: RefObject<HTMLInputElement>;
 };
 
-const IAIMantineSearchableSelect = (props: IAISelectProps) => {
+const IAIMantineSearchableSelect = forwardRef((props: IAISelectProps, ref) => {
   const {
     searchable = true,
     tooltip,
@@ -74,7 +74,7 @@ const IAIMantineSearchableSelect = (props: IAISelectProps) => {
         ref={inputRef}
         label={
           label ? (
-            <FormControl isDisabled={disabled}>
+            <FormControl ref={ref} isDisabled={disabled}>
               <FormLabel>{label}</FormLabel>
             </FormControl>
           ) : undefined
@@ -92,6 +92,8 @@ const IAIMantineSearchableSelect = (props: IAISelectProps) => {
       />
     </Tooltip>
   );
-};
+});
+
+IAIMantineSearchableSelect.displayName = 'IAIMantineSearchableSelect';
 
 export default memo(IAIMantineSearchableSelect);
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx
index 46b5fc95f6..19c116bfd5 100644
--- a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx
@@ -1,4 +1,4 @@
-import { FormControl, FormLabel, Tooltip } from '@chakra-ui/react';
+import { FormControl, FormLabel, Tooltip, forwardRef } from '@chakra-ui/react';
 import { Select, SelectProps } from '@mantine/core';
 import { useMantineSelectStyles } from 'mantine-theme/hooks/useMantineSelectStyles';
 import { RefObject, memo } from 'react';
@@ -15,7 +15,7 @@ export type IAISelectProps = Omit<SelectProps, 'label'> & {
   label?: string;
 };
 
-const IAIMantineSelect = (props: IAISelectProps) => {
+const IAIMantineSelect = forwardRef((props: IAISelectProps, ref) => {
   const { tooltip, inputRef, label, disabled, required, ...rest } = props;
 
   const styles = useMantineSelectStyles();
@@ -25,7 +25,7 @@ const IAIMantineSelect = (props: IAISelectProps) => {
       <Select
         label={
           label ? (
-            <FormControl isRequired={required} isDisabled={disabled}>
+            <FormControl ref={ref} isRequired={required} isDisabled={disabled}>
               <FormLabel>{label}</FormLabel>
             </FormControl>
           ) : undefined
@@ -37,6 +37,8 @@ const IAIMantineSelect = (props: IAISelectProps) => {
       />
     </Tooltip>
   );
-};
+});
+
+IAIMantineSelect.displayName = 'IAIMantineSelect';
 
 export default memo(IAIMantineSelect);
diff --git a/invokeai/frontend/web/src/common/components/IAINumberInput.tsx b/invokeai/frontend/web/src/common/components/IAINumberInput.tsx
index de3b44564a..243dac9d63 100644
--- a/invokeai/frontend/web/src/common/components/IAINumberInput.tsx
+++ b/invokeai/frontend/web/src/common/components/IAINumberInput.tsx
@@ -13,6 +13,7 @@ import {
   NumberInputStepperProps,
   Tooltip,
   TooltipProps,
+  forwardRef,
 } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { stopPastePropagation } from 'common/util/stopPastePropagation';
@@ -50,7 +51,7 @@ interface Props extends Omit<NumberInputProps, 'onChange'> {
 /**
  * Customized Chakra FormControl + NumberInput multi-part component.
  */
-const IAINumberInput = (props: Props) => {
+const IAINumberInput = forwardRef((props: Props, ref) => {
   const {
     label,
     isDisabled = false,
@@ -141,6 +142,7 @@ const IAINumberInput = (props: Props) => {
   return (
     <Tooltip {...tooltipProps}>
       <FormControl
+        ref={ref}
         isDisabled={isDisabled}
         isInvalid={isInvalid}
         {...formControlProps}
@@ -172,6 +174,8 @@ const IAINumberInput = (props: Props) => {
       </FormControl>
     </Tooltip>
   );
-};
+});
+
+IAINumberInput.displayName = 'IAINumberInput';
 
 export default memo(IAINumberInput);
diff --git a/invokeai/frontend/web/src/common/components/IAISlider.tsx b/invokeai/frontend/web/src/common/components/IAISlider.tsx
index fd3eed754f..e879c00977 100644
--- a/invokeai/frontend/web/src/common/components/IAISlider.tsx
+++ b/invokeai/frontend/web/src/common/components/IAISlider.tsx
@@ -22,6 +22,7 @@ import {
   SliderTrackProps,
   Tooltip,
   TooltipProps,
+  forwardRef,
 } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { roundDownToMultiple } from 'common/util/roundDownToMultiple';
@@ -71,7 +72,7 @@ export type IAIFullSliderProps = {
   sliderIAIIconButtonProps?: IAIIconButtonProps;
 };
 
-const IAISlider = (props: IAIFullSliderProps) => {
+const IAISlider = forwardRef((props: IAIFullSliderProps, ref) => {
   const [showTooltip, setShowTooltip] = useState(false);
   const {
     label,
@@ -187,6 +188,7 @@ const IAISlider = (props: IAIFullSliderProps) => {
 
   return (
     <FormControl
+      ref={ref}
       onClick={forceInputBlur}
       sx={
         isCompact
@@ -354,6 +356,8 @@ const IAISlider = (props: IAIFullSliderProps) => {
       </HStack>
     </FormControl>
   );
-};
+});
+
+IAISlider.displayName = 'IAISlider';
 
 export default memo(IAISlider);
diff --git a/invokeai/frontend/web/src/common/components/IAISwitch.tsx b/invokeai/frontend/web/src/common/components/IAISwitch.tsx
index da0883d77e..8773be49e5 100644
--- a/invokeai/frontend/web/src/common/components/IAISwitch.tsx
+++ b/invokeai/frontend/web/src/common/components/IAISwitch.tsx
@@ -72,4 +72,6 @@ const IAISwitch = (props: IAISwitchProps) => {
   );
 };
 
+IAISwitch.displayName = 'IAISwitch';
+
 export default memo(IAISwitch);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
index f9df43d7ca..429291190b 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
@@ -61,7 +61,7 @@ const ParamIterations = ({ asSlider }: Props) => {
   }, [dispatch, initial]);
 
   return asSlider || shouldUseSliders ? (
-    <IAIInformationalPopover details="paramImages">
+    <IAIInformationalPopover details="paramIterations">
       <IAISlider
         label={t('parameters.iterations')}
         step={step}
@@ -77,7 +77,7 @@ const ParamIterations = ({ asSlider }: Props) => {
       />
     </IAIInformationalPopover>
   ) : (
-    <IAIInformationalPopover details="paramImages">
+    <IAIInformationalPopover details="paramIterations">
       <IAINumberInput
         label={t('parameters.iterations')}
         step={step}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx
index 1154187eaf..a54b1489e3 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx
@@ -1,6 +1,7 @@
 import { Box, FormControl, useDisclosure } from '@chakra-ui/react';
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 import IAITextarea from 'common/components/IAITextarea';
 import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton';
 import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover';
@@ -9,7 +10,6 @@ import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react';
 import { flushSync } from 'react-dom';
 import { useTranslation } from 'react-i18next';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const ParamNegativeConditioning = () => {
   const negativePrompt = useAppSelector(
@@ -76,13 +76,16 @@ const ParamNegativeConditioning = () => {
   const isEmbeddingEnabled = useFeatureStatus('embedding').isFeatureEnabled;
 
   return (
-    <FormControl>
-      <ParamEmbeddingPopover
-        isOpen={isOpen}
-        onClose={onClose}
-        onSelect={handleSelectEmbedding}
-      >
-        <IAIInformationalPopover details="paramNegativeConditioning">
+    <IAIInformationalPopover
+      placement="right"
+      details="paramNegativeConditioning"
+    >
+      <FormControl>
+        <ParamEmbeddingPopover
+          isOpen={isOpen}
+          onClose={onClose}
+          onSelect={handleSelectEmbedding}
+        >
           <IAITextarea
             id="negativePrompt"
             name="negativePrompt"
@@ -95,20 +98,20 @@ const ParamNegativeConditioning = () => {
             minH={16}
             {...(isEmbeddingEnabled && { onKeyDown: handleKeyDown })}
           />
-        </IAIInformationalPopover>
-      </ParamEmbeddingPopover>
-      {!isOpen && isEmbeddingEnabled && (
-        <Box
-          sx={{
-            position: 'absolute',
-            top: 0,
-            insetInlineEnd: 0,
-          }}
-        >
-          <AddEmbeddingButton onClick={onOpen} />
-        </Box>
-      )}
-    </FormControl>
+        </ParamEmbeddingPopover>
+        {!isOpen && isEmbeddingEnabled && (
+          <Box
+            sx={{
+              position: 'absolute',
+              top: 0,
+              insetInlineEnd: 0,
+            }}
+          >
+            <AddEmbeddingButton onClick={onOpen} />
+          </Box>
+        )}
+      </FormControl>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
index 8a78621463..9ff616084d 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
@@ -104,13 +104,16 @@ const ParamPositiveConditioning = () => {
 
   return (
     <Box position="relative">
-      <FormControl>
-        <ParamEmbeddingPopover
-          isOpen={isOpen}
-          onClose={onClose}
-          onSelect={handleSelectEmbedding}
-        >
-          <IAIInformationalPopover details="paramPositiveConditioning">
+      <IAIInformationalPopover
+        placement="right"
+        details="paramPositiveConditioning"
+      >
+        <FormControl>
+          <ParamEmbeddingPopover
+            isOpen={isOpen}
+            onClose={onClose}
+            onSelect={handleSelectEmbedding}
+          >
             <IAITextarea
               id="prompt"
               name="prompt"
@@ -122,9 +125,9 @@ const ParamPositiveConditioning = () => {
               resize="vertical"
               minH={32}
             />
-          </IAIInformationalPopover>
-        </ParamEmbeddingPopover>
-      </FormControl>
+          </ParamEmbeddingPopover>
+        </FormControl>
+      </IAIInformationalPopover>
       {!isOpen && isEmbeddingEnabled && (
         <Box
           sx={{
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index 9c957523bc..4252310fc0 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -119,8 +119,8 @@ const ParamMainModelSelect = () => {
       data={[]}
     />
   ) : (
-    <IAIInformationalPopover details="paramModel" placement="bottom">
-      <Flex w="100%" alignItems="center" gap={3}>
+    <Flex w="100%" alignItems="center" gap={3}>
+      <IAIInformationalPopover details="paramModel" placement="bottom">
         <IAIMantineSearchableSelect
           tooltip={selectedModel?.description}
           label={t('modelManager.model')}
@@ -134,13 +134,13 @@ const ParamMainModelSelect = () => {
           onChange={handleChangeModel}
           w="100%"
         />
-        {isSyncModelEnabled && (
-          <Box mt={7}>
-            <SyncModelsButton iconMode />
-          </Box>
-        )}
-      </Flex>
-    </IAIInformationalPopover>
+      </IAIInformationalPopover>
+      {isSyncModelEnabled && (
+        <Box mt={7}>
+          <SyncModelsButton iconMode />
+        </Box>
+      )}
+    </Flex>
   );
 };
 
diff --git a/invokeai/frontend/web/src/theme/components/popover.ts b/invokeai/frontend/web/src/theme/components/popover.ts
index 55f69e9036..0facb25849 100644
--- a/invokeai/frontend/web/src/theme/components/popover.ts
+++ b/invokeai/frontend/web/src/theme/components/popover.ts
@@ -37,7 +37,7 @@ const informationalContent = defineStyle((props) => {
       'colors.base.400',
       'colors.base.400'
     )(props),
-    p: 0,
+    p: 4,
     bg: mode('base.100', 'base.600')(props),
     border: 'none',
     shadow: 'dark-lg',

From aa82f9360c09be004233086648055ed354fdada8 Mon Sep 17 00:00:00 2001
From: Dmitry Parnas <parnas@parnas.org>
Date: Thu, 21 Sep 2023 15:08:12 +0300
Subject: [PATCH 239/265] fix(ui): passing Promise into ClipboardItem to make
 it work in Safari throwing Error in getBaseLayerBlob, instead of returning
 nil using copyBlobToClipboard for both Canvas and Text2Image clipboard
 functionality

---
 .../listeners/canvasCopiedToClipboard.ts          | 12 ++++++------
 .../listeners/canvasDownloadedAsImage.ts          |  9 +++++----
 .../listeners/canvasImageToControlNet.ts          |  9 +++++----
 .../listeners/canvasSavedToGallery.ts             |  9 +++++----
 .../src/features/canvas/util/getBaseLayerBlob.ts  |  2 +-
 .../util/copyBlobToClipboard.ts                   |  7 +++++--
 .../features/ui/hooks/useCopyImageToClipboard.ts  | 15 ++++++++-------
 7 files changed, 35 insertions(+), 28 deletions(-)
 rename invokeai/frontend/web/src/features/{canvas => system}/util/copyBlobToClipboard.ts (58%)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts
index c328aceedf..1ac80d219b 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasCopiedToClipboard.ts
@@ -3,7 +3,7 @@ import { startAppListening } from '..';
 import { $logger } from 'app/logging/logger';
 import { getBaseLayerBlob } from 'features/canvas/util/getBaseLayerBlob';
 import { addToast } from 'features/system/store/systemSlice';
-import { copyBlobToClipboard } from 'features/canvas/util/copyBlobToClipboard';
+import { copyBlobToClipboard } from 'features/system/util/copyBlobToClipboard';
 import { t } from 'i18next';
 
 export const addCanvasCopiedToClipboardListener = () => {
@@ -15,10 +15,12 @@ export const addCanvasCopiedToClipboardListener = () => {
         .child({ namespace: 'canvasCopiedToClipboardListener' });
       const state = getState();
 
-      const blob = await getBaseLayerBlob(state);
+      try {
+        const blob = getBaseLayerBlob(state);
 
-      if (!blob) {
-        moduleLog.error('Problem getting base layer blob');
+        copyBlobToClipboard(blob);
+      } catch (err) {
+        moduleLog.error(String(err));
         dispatch(
           addToast({
             title: t('toast.problemCopyingCanvas'),
@@ -29,8 +31,6 @@ export const addCanvasCopiedToClipboardListener = () => {
         return;
       }
 
-      copyBlobToClipboard(blob);
-
       dispatch(
         addToast({
           title: t('toast.canvasCopiedClipboard'),
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts
index 23faf4a356..cfaf20b64c 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasDownloadedAsImage.ts
@@ -15,10 +15,11 @@ export const addCanvasDownloadedAsImageListener = () => {
         .child({ namespace: 'canvasSavedToGalleryListener' });
       const state = getState();
 
-      const blob = await getBaseLayerBlob(state);
-
-      if (!blob) {
-        moduleLog.error('Problem getting base layer blob');
+      let blob;
+      try {
+        blob = await getBaseLayerBlob(state);
+      } catch (err) {
+        moduleLog.error(String(err));
         dispatch(
           addToast({
             title: t('toast.problemDownloadingCanvas'),
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts
index 5181df134f..835b8246f1 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasImageToControlNet.ts
@@ -14,10 +14,11 @@ export const addCanvasImageToControlNetListener = () => {
       const log = logger('canvas');
       const state = getState();
 
-      const blob = await getBaseLayerBlob(state);
-
-      if (!blob) {
-        log.error('Problem getting base layer blob');
+      let blob;
+      try {
+        blob = await getBaseLayerBlob(state);
+      } catch (err) {
+        log.error(String(err));
         dispatch(
           addToast({
             title: t('toast.problemSavingCanvas'),
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts
index 0bb8ad8550..23e2cebe53 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts
@@ -13,10 +13,11 @@ export const addCanvasSavedToGalleryListener = () => {
       const log = logger('canvas');
       const state = getState();
 
-      const blob = await getBaseLayerBlob(state);
-
-      if (!blob) {
-        log.error('Problem getting base layer blob');
+      let blob;
+      try {
+        blob = await getBaseLayerBlob(state);
+      } catch (err) {
+        log.error(String(err));
         dispatch(
           addToast({
             title: t('toast.problemSavingCanvas'),
diff --git a/invokeai/frontend/web/src/features/canvas/util/getBaseLayerBlob.ts b/invokeai/frontend/web/src/features/canvas/util/getBaseLayerBlob.ts
index 20ac482710..3667acc79b 100644
--- a/invokeai/frontend/web/src/features/canvas/util/getBaseLayerBlob.ts
+++ b/invokeai/frontend/web/src/features/canvas/util/getBaseLayerBlob.ts
@@ -9,7 +9,7 @@ export const getBaseLayerBlob = async (state: RootState) => {
   const canvasBaseLayer = getCanvasBaseLayer();
 
   if (!canvasBaseLayer) {
-    return;
+    throw new Error('Problem getting base layer blob');
   }
 
   const {
diff --git a/invokeai/frontend/web/src/features/canvas/util/copyBlobToClipboard.ts b/invokeai/frontend/web/src/features/system/util/copyBlobToClipboard.ts
similarity index 58%
rename from invokeai/frontend/web/src/features/canvas/util/copyBlobToClipboard.ts
rename to invokeai/frontend/web/src/features/system/util/copyBlobToClipboard.ts
index e944e766b5..cf59f2a687 100644
--- a/invokeai/frontend/web/src/features/canvas/util/copyBlobToClipboard.ts
+++ b/invokeai/frontend/web/src/features/system/util/copyBlobToClipboard.ts
@@ -1,10 +1,13 @@
 /**
  * Copies a blob to the clipboard by calling navigator.clipboard.write().
  */
-export const copyBlobToClipboard = (blob: Blob) => {
+export const copyBlobToClipboard = (
+  blob: Promise<Blob>,
+  type = 'image/png'
+) => {
   navigator.clipboard.write([
     new ClipboardItem({
-      [blob.type]: blob,
+      [type]: blob,
     }),
   ]);
 };
diff --git a/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts b/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts
index 314abad081..cefbf3d14e 100644
--- a/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts
+++ b/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts
@@ -1,6 +1,7 @@
 import { useAppToaster } from 'app/components/Toaster';
 import { useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
+import { copyBlobToClipboard } from 'features/system/util/copyBlobToClipboard';
 
 export const useCopyImageToClipboard = () => {
   const toaster = useAppToaster();
@@ -22,13 +23,13 @@ export const useCopyImageToClipboard = () => {
         });
       }
       try {
-        const response = await fetch(image_url);
-        const blob = await response.blob();
-        await navigator.clipboard.write([
-          new ClipboardItem({
-            [blob.type]: blob,
-          }),
-        ]);
+        const getImageBlob = async () => {
+          const response = await fetch(image_url);
+          return await response.blob();
+        };
+
+        copyBlobToClipboard(getImageBlob());
+
         toaster({
           title: t('toast.imageCopied'),
           status: 'success',

From 7ac99d6bc367e92f1405372fdad48fe89c8cd980 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 18:57:52 +1000
Subject: [PATCH 240/265] feat(nodes): add enable, disable, status to
 invocation cache

- New routes to clear, enable, disable and get the status of the cache
- Status includes hits, misses, size, max size, enabled
- Add client cache queries and mutations, abstracted into hooks
- Add invocation cache status area (next to queue status) w/ buttons
---
 invokeai/app/api/routers/app_info.py          |  31 ++++
 .../invocation_cache/invocation_cache_base.py |  18 +-
 .../invocation_cache_common.py                |   9 +
 .../invocation_cache_memory.py                |  36 +++-
 .../session_queue/session_queue_common.py     |   8 +-
 invokeai/frontend/web/public/locales/en.json  |  16 ++
 .../frontend/web/src/app/types/invokeai.ts    |   3 +-
 .../components/ClearInvocationCacheButton.tsx |  22 +++
 .../components/InvocationCacheStatus.tsx      |  45 +++++
 .../features/queue/components/QueueStatus.tsx |  55 +++---
 .../queue/components/QueueTabContent.tsx      |  44 +----
 .../components/QueueTabQueueControls.tsx      |  30 +++
 .../ToggleInvocationCacheButton.tsx           |  47 +++++
 .../components/VerticalQueueControls.tsx      |  27 ---
 .../components/common/StatusStatGroup.tsx     |  22 +++
 .../components/common/StatusStatItem.tsx      |  47 +++++
 .../queue/hooks/useClearInvocationCache.ts    |  48 +++++
 .../queue/hooks/useDisableInvocationCache.ts  |  48 +++++
 .../queue/hooks/useEnableInvocationCache.ts   |  48 +++++
 .../web/src/services/api/endpoints/appInfo.ts |  41 +++-
 .../frontend/web/src/services/api/index.ts    |   1 +
 .../frontend/web/src/services/api/schema.d.ts | 175 ++++++++++++++----
 22 files changed, 687 insertions(+), 134 deletions(-)
 create mode 100644 invokeai/app/services/invocation_cache/invocation_cache_common.py
 create mode 100644 invokeai/frontend/web/src/features/queue/components/ClearInvocationCacheButton.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/QueueTabQueueControls.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/ToggleInvocationCacheButton.tsx
 delete mode 100644 invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/common/StatusStatGroup.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/components/common/StatusStatItem.tsx
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useClearInvocationCache.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts
 create mode 100644 invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts

diff --git a/invokeai/app/api/routers/app_info.py b/invokeai/app/api/routers/app_info.py
index a98c8edc6a..39d570ec99 100644
--- a/invokeai/app/api/routers/app_info.py
+++ b/invokeai/app/api/routers/app_info.py
@@ -7,6 +7,7 @@ from fastapi.routing import APIRouter
 from pydantic import BaseModel, Field
 
 from invokeai.app.invocations.upscale import ESRGAN_MODELS
+from invokeai.app.services.invocation_cache.invocation_cache_common import InvocationCacheStatus
 from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark
 from invokeai.backend.image_util.patchmatch import PatchMatch
 from invokeai.backend.image_util.safety_checker import SafetyChecker
@@ -113,3 +114,33 @@ async def set_log_level(
 async def clear_invocation_cache() -> None:
     """Clears the invocation cache"""
     ApiDependencies.invoker.services.invocation_cache.clear()
+
+
+@app_router.put(
+    "/invocation_cache/enable",
+    operation_id="enable_invocation_cache",
+    responses={200: {"description": "The operation was successful"}},
+)
+async def enable_invocation_cache() -> None:
+    """Clears the invocation cache"""
+    ApiDependencies.invoker.services.invocation_cache.enable()
+
+
+@app_router.put(
+    "/invocation_cache/disable",
+    operation_id="disable_invocation_cache",
+    responses={200: {"description": "The operation was successful"}},
+)
+async def disable_invocation_cache() -> None:
+    """Clears the invocation cache"""
+    ApiDependencies.invoker.services.invocation_cache.disable()
+
+
+@app_router.get(
+    "/invocation_cache/status",
+    operation_id="get_invocation_cache_status",
+    responses={200: {"model": InvocationCacheStatus}},
+)
+async def get_invocation_cache_status() -> InvocationCacheStatus:
+    """Clears the invocation cache"""
+    return ApiDependencies.invoker.services.invocation_cache.get_status()
diff --git a/invokeai/app/services/invocation_cache/invocation_cache_base.py b/invokeai/app/services/invocation_cache/invocation_cache_base.py
index c35a31f851..d913e050ab 100644
--- a/invokeai/app/services/invocation_cache/invocation_cache_base.py
+++ b/invokeai/app/services/invocation_cache/invocation_cache_base.py
@@ -2,6 +2,7 @@ from abc import ABC, abstractmethod
 from typing import Optional, Union
 
 from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput
+from invokeai.app.services.invocation_cache.invocation_cache_common import InvocationCacheStatus
 
 
 class InvocationCacheBase(ABC):
@@ -32,7 +33,7 @@ class InvocationCacheBase(ABC):
 
     @abstractmethod
     def delete(self, key: Union[int, str]) -> None:
-        """Deleteds an invocation output from the cache"""
+        """Deletes an invocation output from the cache"""
         pass
 
     @abstractmethod
@@ -44,3 +45,18 @@ class InvocationCacheBase(ABC):
     def create_key(self, invocation: BaseInvocation) -> int:
         """Gets the key for the invocation's cache item"""
         pass
+
+    @abstractmethod
+    def disable(self) -> None:
+        """Disables the cache, overriding the max cache size"""
+        pass
+
+    @abstractmethod
+    def enable(self) -> None:
+        """Enables the cache, letting the the max cache size take effect"""
+        pass
+
+    @abstractmethod
+    def get_status(self) -> InvocationCacheStatus:
+        """Returns the status of the cache"""
+        pass
diff --git a/invokeai/app/services/invocation_cache/invocation_cache_common.py b/invokeai/app/services/invocation_cache/invocation_cache_common.py
new file mode 100644
index 0000000000..6ce2d02f3b
--- /dev/null
+++ b/invokeai/app/services/invocation_cache/invocation_cache_common.py
@@ -0,0 +1,9 @@
+from pydantic import BaseModel, Field
+
+
+class InvocationCacheStatus(BaseModel):
+    size: int = Field(description="The current size of the invocation cache")
+    hits: int = Field(description="The number of cache hits")
+    misses: int = Field(description="The number of cache misses")
+    enabled: bool = Field(description="Whether the invocation cache is enabled")
+    max_size: int = Field(description="The maximum size of the invocation cache")
diff --git a/invokeai/app/services/invocation_cache/invocation_cache_memory.py b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
index 4c0eb2106f..a1910a0bd8 100644
--- a/invokeai/app/services/invocation_cache/invocation_cache_memory.py
+++ b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
@@ -3,18 +3,25 @@ from typing import Optional, Union
 
 from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput
 from invokeai.app.services.invocation_cache.invocation_cache_base import InvocationCacheBase
+from invokeai.app.services.invocation_cache.invocation_cache_common import InvocationCacheStatus
 from invokeai.app.services.invoker import Invoker
 
 
 class MemoryInvocationCache(InvocationCacheBase):
     __cache: dict[Union[int, str], tuple[BaseInvocationOutput, str]]
     __max_cache_size: int
+    __disabled: bool
+    __hits: int
+    __misses: int
     __cache_ids: Queue
     __invoker: Invoker
 
     def __init__(self, max_cache_size: int = 0) -> None:
         self.__cache = dict()
         self.__max_cache_size = max_cache_size
+        self.__disabled = False
+        self.__hits = 0
+        self.__misses = 0
         self.__cache_ids = Queue()
 
     def start(self, invoker: Invoker) -> None:
@@ -25,15 +32,17 @@ class MemoryInvocationCache(InvocationCacheBase):
         self.__invoker.services.latents.on_deleted(self._delete_by_match)
 
     def get(self, key: Union[int, str]) -> Optional[BaseInvocationOutput]:
-        if self.__max_cache_size == 0:
+        if self.__max_cache_size == 0 or self.__disabled:
             return
 
         item = self.__cache.get(key, None)
         if item is not None:
+            self.__hits += 1
             return item[0]
+        self.__misses += 1
 
     def save(self, key: Union[int, str], invocation_output: BaseInvocationOutput) -> None:
-        if self.__max_cache_size == 0:
+        if self.__max_cache_size == 0 or self.__disabled:
             return
 
         if key not in self.__cache:
@@ -47,24 +56,41 @@ class MemoryInvocationCache(InvocationCacheBase):
                     pass
 
     def delete(self, key: Union[int, str]) -> None:
-        if self.__max_cache_size == 0:
+        if self.__max_cache_size == 0 or self.__disabled:
             return
 
         if key in self.__cache:
             del self.__cache[key]
 
     def clear(self, *args, **kwargs) -> None:
-        if self.__max_cache_size == 0:
+        if self.__max_cache_size == 0 or self.__disabled:
             return
 
         self.__cache.clear()
         self.__cache_ids = Queue()
+        self.__misses = 0
+        self.__hits = 0
 
     def create_key(self, invocation: BaseInvocation) -> int:
         return hash(invocation.json(exclude={"id"}))
 
+    def disable(self) -> None:
+        self.__disabled = True
+
+    def enable(self) -> None:
+        self.__disabled = False
+
+    def get_status(self) -> InvocationCacheStatus:
+        return InvocationCacheStatus(
+            hits=self.__hits,
+            misses=self.__misses,
+            enabled=not self.__disabled,
+            size=len(self.__cache),
+            max_size=self.__max_cache_size,
+        )
+
     def _delete_by_match(self, to_match: str) -> None:
-        if self.__max_cache_size == 0:
+        if self.__max_cache_size == 0 or self.__disabled:
             return
 
         keys_to_delete = set()
diff --git a/invokeai/app/services/session_queue/session_queue_common.py b/invokeai/app/services/session_queue/session_queue_common.py
index a7032c7f1f..905e568fa1 100644
--- a/invokeai/app/services/session_queue/session_queue_common.py
+++ b/invokeai/app/services/session_queue/session_queue_common.py
@@ -162,15 +162,15 @@ class SessionQueueItemWithoutGraph(BaseModel):
     session_id: str = Field(
         description="The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed."
     )
-    field_values: Optional[list[NodeFieldValue]] = Field(
-        default=None, description="The field values that were used for this queue item"
-    )
-    queue_id: str = Field(description="The id of the queue with which this item is associated")
     error: Optional[str] = Field(default=None, description="The error message if this queue item errored")
     created_at: Union[datetime.datetime, str] = Field(description="When this queue item was created")
     updated_at: Union[datetime.datetime, str] = Field(description="When this queue item was updated")
     started_at: Optional[Union[datetime.datetime, str]] = Field(description="When this queue item was started")
     completed_at: Optional[Union[datetime.datetime, str]] = Field(description="When this queue item was completed")
+    queue_id: str = Field(description="The id of the queue with which this item is associated")
+    field_values: Optional[list[NodeFieldValue]] = Field(
+        default=None, description="The field values that were used for this queue item"
+    )
 
     @classmethod
     def from_dict(cls, queue_item_dict: dict) -> "SessionQueueItemDTO":
diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index f48df3368f..875b611026 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -264,6 +264,22 @@
         "graphQueued": "Graph queued",
         "graphFailedToQueue": "Failed to queue graph"
     },
+    "invocationCache": {
+        "invocationCache": "Invocation Cache",
+        "cacheSize": "Cache Size",
+        "maxCacheSize": "Max Cache Size",
+        "hits": "Cache Hits",
+        "misses": "Cache Misses",
+        "clear": "Clear",
+        "clearSucceeded": "Invocation Cache Cleared",
+        "clearFailed": "Problem Clearing Invocation Cache",
+        "enable": "Enable",
+        "enableSucceeded": "Invocation Cache Enabled",
+        "enableFailed": "Problem Enabling Invocation Cache",
+        "disable": "Disable",
+        "disableSucceeded": "Invocation Cache Disabled",
+        "disableFailed": "Problem Disabling Invocation Cache"
+    },
     "gallery": {
         "allImagesLoaded": "All Images Loaded",
         "assets": "Assets",
diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts
index ca2e80535c..2cb2173b19 100644
--- a/invokeai/frontend/web/src/app/types/invokeai.ts
+++ b/invokeai/frontend/web/src/app/types/invokeai.ts
@@ -21,7 +21,8 @@ export type AppFeature =
   | 'multiselect'
   | 'pauseQueue'
   | 'resumeQueue'
-  | 'prependQueue';
+  | 'prependQueue'
+  | 'invocationCache';
 
 /**
  * A disable-able Stable Diffusion feature
diff --git a/invokeai/frontend/web/src/features/queue/components/ClearInvocationCacheButton.tsx b/invokeai/frontend/web/src/features/queue/components/ClearInvocationCacheButton.tsx
new file mode 100644
index 0000000000..941bc88125
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/ClearInvocationCacheButton.tsx
@@ -0,0 +1,22 @@
+import IAIButton from 'common/components/IAIButton';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useClearInvocationCache } from '../hooks/useClearInvocationCache';
+
+const ClearInvocationCacheButton = () => {
+  const { t } = useTranslation();
+  const { clearInvocationCache, isDisabled, isLoading } =
+    useClearInvocationCache();
+
+  return (
+    <IAIButton
+      isDisabled={isDisabled}
+      isLoading={isLoading}
+      onClick={clearInvocationCache}
+    >
+      {t('invocationCache.clear')}
+    </IAIButton>
+  );
+};
+
+export default memo(ClearInvocationCacheButton);
diff --git a/invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx b/invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx
new file mode 100644
index 0000000000..7af2c99bcf
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx
@@ -0,0 +1,45 @@
+import { ButtonGroup } from '@chakra-ui/react';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useGetInvocationCacheStatusQuery } from 'services/api/endpoints/appInfo';
+import ClearInvocationCacheButton from './ClearInvocationCacheButton';
+import ToggleInvocationCacheButton from './ToggleInvocationCacheButton';
+import StatusStatGroup from './common/StatusStatGroup';
+import StatusStatItem from './common/StatusStatItem';
+
+const InvocationCacheStatus = () => {
+  const { data: cacheStatus } = useGetInvocationCacheStatusQuery(undefined, {
+    pollingInterval: 5000,
+  });
+  const { t } = useTranslation();
+  return (
+    <StatusStatGroup>
+      <StatusStatItem
+        isDisabled={!cacheStatus?.enabled}
+        label={t('invocationCache.cacheSize')}
+        value={cacheStatus?.size ?? 0}
+      />
+      <StatusStatItem
+        isDisabled={!cacheStatus?.enabled}
+        label={t('invocationCache.hits')}
+        value={cacheStatus?.hits ?? 0}
+      />
+      <StatusStatItem
+        isDisabled={!cacheStatus?.enabled}
+        label={t('invocationCache.misses')}
+        value={cacheStatus?.misses ?? 0}
+      />
+      <StatusStatItem
+        isDisabled={!cacheStatus?.enabled}
+        label={t('invocationCache.maxCacheSize')}
+        value={cacheStatus?.max_size ?? 0}
+      />
+      <ButtonGroup w={24} orientation="vertical" size="xs">
+        <ClearInvocationCacheButton />
+        <ToggleInvocationCacheButton />
+      </ButtonGroup>
+    </StatusStatGroup>
+  );
+};
+
+export default memo(InvocationCacheStatus);
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx b/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx
index 72dfdd77ad..a91d3c4679 100644
--- a/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx
@@ -1,38 +1,39 @@
-import { Stat, StatGroup, StatLabel, StatNumber } from '@chakra-ui/react';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { useGetQueueStatusQuery } from 'services/api/endpoints/queue';
+import StatusStatGroup from './common/StatusStatGroup';
+import StatusStatItem from './common/StatusStatItem';
 
 const QueueStatus = () => {
   const { data: queueStatus } = useGetQueueStatusQuery();
   const { t } = useTranslation();
   return (
-    <StatGroup alignItems="center" justifyContent="center" w="full" h="full">
-      <Stat w={24}>
-        <StatLabel>{t('queue.in_progress')}</StatLabel>
-        <StatNumber>{queueStatus?.queue.in_progress ?? 0}</StatNumber>
-      </Stat>
-      <Stat w={24}>
-        <StatLabel>{t('queue.pending')}</StatLabel>
-        <StatNumber>{queueStatus?.queue.pending ?? 0}</StatNumber>
-      </Stat>
-      <Stat w={24}>
-        <StatLabel>{t('queue.completed')}</StatLabel>
-        <StatNumber>{queueStatus?.queue.completed ?? 0}</StatNumber>
-      </Stat>
-      <Stat w={24}>
-        <StatLabel>{t('queue.failed')}</StatLabel>
-        <StatNumber>{queueStatus?.queue.failed ?? 0}</StatNumber>
-      </Stat>
-      <Stat w={24}>
-        <StatLabel>{t('queue.canceled')}</StatLabel>
-        <StatNumber>{queueStatus?.queue.canceled ?? 0}</StatNumber>
-      </Stat>
-      <Stat w={24}>
-        <StatLabel>{t('queue.total')}</StatLabel>
-        <StatNumber>{queueStatus?.queue.total}</StatNumber>
-      </Stat>
-    </StatGroup>
+    <StatusStatGroup>
+      <StatusStatItem
+        label={t('queue.in_progress')}
+        value={queueStatus?.queue.in_progress ?? 0}
+      />
+      <StatusStatItem
+        label={t('queue.pending')}
+        value={queueStatus?.queue.pending ?? 0}
+      />
+      <StatusStatItem
+        label={t('queue.completed')}
+        value={queueStatus?.queue.completed ?? 0}
+      />
+      <StatusStatItem
+        label={t('queue.failed')}
+        value={queueStatus?.queue.failed ?? 0}
+      />
+      <StatusStatItem
+        label={t('queue.canceled')}
+        value={queueStatus?.queue.canceled ?? 0}
+      />
+      <StatusStatItem
+        label={t('queue.total')}
+        value={queueStatus?.queue.total ?? 0}
+      />
+    </StatusStatGroup>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx
index 254e34c453..23e2fe399f 100644
--- a/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx
@@ -1,16 +1,14 @@
-import { Box, ButtonGroup, Flex } from '@chakra-ui/react';
+import { Box, Flex } from '@chakra-ui/react';
 import { memo } from 'react';
-import ClearQueueButton from './ClearQueueButton';
-import PauseProcessorButton from './PauseProcessorButton';
-import PruneQueueButton from './PruneQueueButton';
+import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
+import InvocationCacheStatus from './InvocationCacheStatus';
 import QueueList from './QueueList/QueueList';
 import QueueStatus from './QueueStatus';
-import ResumeProcessorButton from './ResumeProcessorButton';
-import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
+import QueueTabQueueControls from './QueueTabQueueControls';
 
 const QueueTabContent = () => {
-  const isPauseEnabled = useFeatureStatus('pauseQueue').isFeatureEnabled;
-  const isResumeEnabled = useFeatureStatus('resumeQueue').isFeatureEnabled;
+  const isInvocationCacheEnabled =
+    useFeatureStatus('invocationCache').isFeatureEnabled;
 
   return (
     <Flex
@@ -23,33 +21,9 @@ const QueueTabContent = () => {
       gap={2}
     >
       <Flex gap={2} w="full">
-        <Flex layerStyle="second" borderRadius="base" p={2} gap={2}>
-          {isPauseEnabled || isResumeEnabled ? (
-            <ButtonGroup w={28} orientation="vertical" isAttached size="sm">
-              {isResumeEnabled ? <ResumeProcessorButton /> : <></>}
-              {isPauseEnabled ? <PauseProcessorButton /> : <></>}
-            </ButtonGroup>
-          ) : (
-            <></>
-          )}
-          <ButtonGroup w={28} orientation="vertical" isAttached size="sm">
-            <PruneQueueButton />
-            <ClearQueueButton />
-          </ButtonGroup>
-        </Flex>
-        <Flex
-          layerStyle="second"
-          borderRadius="base"
-          flexDir="column"
-          py={2}
-          px={3}
-          gap={2}
-        >
-          <QueueStatus />
-        </Flex>
-        {/* <QueueStatusCard />
-        <CurrentQueueItemCard />
-        <NextQueueItemCard /> */}
+        <QueueTabQueueControls />
+        <QueueStatus />
+        {isInvocationCacheEnabled && <InvocationCacheStatus />}
       </Flex>
       <Box layerStyle="second" p={2} borderRadius="base" w="full" h="full">
         <QueueList />
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueTabQueueControls.tsx b/invokeai/frontend/web/src/features/queue/components/QueueTabQueueControls.tsx
new file mode 100644
index 0000000000..f8bf5d64d5
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/QueueTabQueueControls.tsx
@@ -0,0 +1,30 @@
+import { ButtonGroup, Flex } from '@chakra-ui/react';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
+import { memo } from 'react';
+import ClearQueueButton from './ClearQueueButton';
+import PauseProcessorButton from './PauseProcessorButton';
+import PruneQueueButton from './PruneQueueButton';
+import ResumeProcessorButton from './ResumeProcessorButton';
+
+const QueueTabQueueControls = () => {
+  const isPauseEnabled = useFeatureStatus('pauseQueue').isFeatureEnabled;
+  const isResumeEnabled = useFeatureStatus('resumeQueue').isFeatureEnabled;
+  return (
+    <Flex layerStyle="second" borderRadius="base" p={2} gap={2}>
+      {isPauseEnabled || isResumeEnabled ? (
+        <ButtonGroup w={28} orientation="vertical" isAttached size="sm">
+          {isResumeEnabled ? <ResumeProcessorButton /> : <></>}
+          {isPauseEnabled ? <PauseProcessorButton /> : <></>}
+        </ButtonGroup>
+      ) : (
+        <></>
+      )}
+      <ButtonGroup w={28} orientation="vertical" isAttached size="sm">
+        <PruneQueueButton />
+        <ClearQueueButton />
+      </ButtonGroup>
+    </Flex>
+  );
+};
+
+export default memo(QueueTabQueueControls);
diff --git a/invokeai/frontend/web/src/features/queue/components/ToggleInvocationCacheButton.tsx b/invokeai/frontend/web/src/features/queue/components/ToggleInvocationCacheButton.tsx
new file mode 100644
index 0000000000..94b0fc82ae
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/ToggleInvocationCacheButton.tsx
@@ -0,0 +1,47 @@
+import IAIButton from 'common/components/IAIButton';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useGetInvocationCacheStatusQuery } from 'services/api/endpoints/appInfo';
+import { useDisableInvocationCache } from '../hooks/useDisableInvocationCache';
+import { useEnableInvocationCache } from '../hooks/useEnableInvocationCache';
+
+const ToggleInvocationCacheButton = () => {
+  const { t } = useTranslation();
+  const { data: cacheStatus } = useGetInvocationCacheStatusQuery();
+
+  const {
+    enableInvocationCache,
+    isDisabled: isEnableDisabled,
+    isLoading: isEnableLoading,
+  } = useEnableInvocationCache();
+
+  const {
+    disableInvocationCache,
+    isDisabled: isDisableDisabled,
+    isLoading: isDisableLoading,
+  } = useDisableInvocationCache();
+
+  if (cacheStatus?.enabled) {
+    return (
+      <IAIButton
+        isDisabled={isDisableDisabled}
+        isLoading={isDisableLoading}
+        onClick={disableInvocationCache}
+      >
+        {t('invocationCache.disable')}
+      </IAIButton>
+    );
+  }
+
+  return (
+    <IAIButton
+      isDisabled={isEnableDisabled}
+      isLoading={isEnableLoading}
+      onClick={enableInvocationCache}
+    >
+      {t('invocationCache.enable')}
+    </IAIButton>
+  );
+};
+
+export default memo(ToggleInvocationCacheButton);
diff --git a/invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx b/invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx
deleted file mode 100644
index 665eaf190a..0000000000
--- a/invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx
+++ /dev/null
@@ -1,27 +0,0 @@
-import { ButtonGroup, ButtonGroupProps, Flex } from '@chakra-ui/react';
-import { memo } from 'react';
-import ClearQueueButton from './ClearQueueButton';
-import PauseProcessorButton from './PauseProcessorButton';
-import PruneQueueButton from './PruneQueueButton';
-import ResumeProcessorButton from './ResumeProcessorButton';
-
-type Props = ButtonGroupProps & {
-  asIconButtons?: boolean;
-};
-
-const VerticalQueueControls = ({ asIconButtons, ...rest }: Props) => {
-  return (
-    <Flex flexDir="column" gap={2}>
-      <ButtonGroup w="full" isAttached {...rest}>
-        <ResumeProcessorButton asIconButton={asIconButtons} />
-        <PauseProcessorButton asIconButton={asIconButtons} />
-      </ButtonGroup>
-      <ButtonGroup w="full" isAttached {...rest}>
-        <PruneQueueButton asIconButton={asIconButtons} />
-        <ClearQueueButton asIconButton={asIconButtons} />
-      </ButtonGroup>
-    </Flex>
-  );
-};
-
-export default memo(VerticalQueueControls);
diff --git a/invokeai/frontend/web/src/features/queue/components/common/StatusStatGroup.tsx b/invokeai/frontend/web/src/features/queue/components/common/StatusStatGroup.tsx
new file mode 100644
index 0000000000..b083715472
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/common/StatusStatGroup.tsx
@@ -0,0 +1,22 @@
+import { StatGroup, StatGroupProps } from '@chakra-ui/react';
+import { memo } from 'react';
+
+const StatusStatGroup = ({ children, ...rest }: StatGroupProps) => (
+  <StatGroup
+    alignItems="center"
+    justifyContent="center"
+    w="full"
+    h="full"
+    layerStyle="second"
+    borderRadius="base"
+    py={2}
+    px={3}
+    gap={6}
+    flexWrap="nowrap"
+    {...rest}
+  >
+    {children}
+  </StatGroup>
+);
+
+export default memo(StatusStatGroup);
diff --git a/invokeai/frontend/web/src/features/queue/components/common/StatusStatItem.tsx b/invokeai/frontend/web/src/features/queue/components/common/StatusStatItem.tsx
new file mode 100644
index 0000000000..92100d4040
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/components/common/StatusStatItem.tsx
@@ -0,0 +1,47 @@
+import {
+  ChakraProps,
+  Stat,
+  StatLabel,
+  StatNumber,
+  StatProps,
+} from '@chakra-ui/react';
+import { memo } from 'react';
+
+const sx: ChakraProps['sx'] = {
+  '&[aria-disabled="true"]': {
+    color: 'base.400',
+    _dark: {
+      color: 'base.500',
+    },
+  },
+};
+
+type Props = Omit<StatProps, 'children'> & {
+  label: string;
+  value: string | number;
+  isDisabled?: boolean;
+};
+
+const StatusStatItem = ({
+  label,
+  value,
+  isDisabled = false,
+  ...rest
+}: Props) => (
+  <Stat
+    flexGrow={1}
+    textOverflow="ellipsis"
+    overflow="hidden"
+    whiteSpace="nowrap"
+    aria-disabled={isDisabled}
+    sx={sx}
+    {...rest}
+  >
+    <StatLabel textOverflow="ellipsis" overflow="hidden" whiteSpace="nowrap">
+      {label}
+    </StatLabel>
+    <StatNumber>{value}</StatNumber>
+  </Stat>
+);
+
+export default memo(StatusStatItem);
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useClearInvocationCache.ts b/invokeai/frontend/web/src/features/queue/hooks/useClearInvocationCache.ts
new file mode 100644
index 0000000000..ce2fc0e46b
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useClearInvocationCache.ts
@@ -0,0 +1,48 @@
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { addToast } from 'features/system/store/systemSlice';
+import { useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import {
+  useClearInvocationCacheMutation,
+  useGetInvocationCacheStatusQuery,
+} from 'services/api/endpoints/appInfo';
+
+export const useClearInvocationCache = () => {
+  const { t } = useTranslation();
+  const dispatch = useAppDispatch();
+  const { data: cacheStatus } = useGetInvocationCacheStatusQuery();
+  const isConnected = useAppSelector((state) => state.system.isConnected);
+  const [trigger, { isLoading }] = useClearInvocationCacheMutation({
+    fixedCacheKey: 'clearInvocationCache',
+  });
+
+  const isDisabled = useMemo(
+    () => !cacheStatus?.size || !isConnected,
+    [cacheStatus?.size, isConnected]
+  );
+
+  const clearInvocationCache = useCallback(async () => {
+    if (isDisabled) {
+      return;
+    }
+
+    try {
+      await trigger().unwrap();
+      dispatch(
+        addToast({
+          title: t('invocationCache.clearSucceeded'),
+          status: 'success',
+        })
+      );
+    } catch {
+      dispatch(
+        addToast({
+          title: t('invocationCache.clearFailed'),
+          status: 'error',
+        })
+      );
+    }
+  }, [isDisabled, trigger, dispatch, t]);
+
+  return { clearInvocationCache, isLoading, cacheStatus, isDisabled };
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts b/invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts
new file mode 100644
index 0000000000..6f0f41498a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts
@@ -0,0 +1,48 @@
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { addToast } from 'features/system/store/systemSlice';
+import { useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import {
+  useDisableInvocationCacheMutation,
+  useGetInvocationCacheStatusQuery,
+} from 'services/api/endpoints/appInfo';
+
+export const useDisableInvocationCache = () => {
+  const { t } = useTranslation();
+  const dispatch = useAppDispatch();
+  const { data: cacheStatus } = useGetInvocationCacheStatusQuery();
+  const isConnected = useAppSelector((state) => state.system.isConnected);
+  const [trigger, { isLoading }] = useDisableInvocationCacheMutation({
+    fixedCacheKey: 'disableInvocationCache',
+  });
+
+  const isDisabled = useMemo(
+    () => !cacheStatus?.enabled || !isConnected,
+    [cacheStatus?.enabled, isConnected]
+  );
+
+  const disableInvocationCache = useCallback(async () => {
+    if (isDisabled) {
+      return;
+    }
+
+    try {
+      await trigger().unwrap();
+      dispatch(
+        addToast({
+          title: t('invocationCache.disableSucceeded'),
+          status: 'success',
+        })
+      );
+    } catch {
+      dispatch(
+        addToast({
+          title: t('invocationCache.disableFailed'),
+          status: 'error',
+        })
+      );
+    }
+  }, [isDisabled, trigger, dispatch, t]);
+
+  return { disableInvocationCache, isLoading, cacheStatus, isDisabled };
+};
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts b/invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts
new file mode 100644
index 0000000000..f061dc97ec
--- /dev/null
+++ b/invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts
@@ -0,0 +1,48 @@
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { addToast } from 'features/system/store/systemSlice';
+import { useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import {
+  useEnableInvocationCacheMutation,
+  useGetInvocationCacheStatusQuery,
+} from 'services/api/endpoints/appInfo';
+
+export const useEnableInvocationCache = () => {
+  const { t } = useTranslation();
+  const dispatch = useAppDispatch();
+  const { data: cacheStatus } = useGetInvocationCacheStatusQuery();
+  const isConnected = useAppSelector((state) => state.system.isConnected);
+  const [trigger, { isLoading }] = useEnableInvocationCacheMutation({
+    fixedCacheKey: 'enableInvocationCache',
+  });
+
+  const isDisabled = useMemo(
+    () => cacheStatus?.enabled || !isConnected,
+    [cacheStatus?.enabled, isConnected]
+  );
+
+  const enableInvocationCache = useCallback(async () => {
+    if (isDisabled) {
+      return;
+    }
+
+    try {
+      await trigger().unwrap();
+      dispatch(
+        addToast({
+          title: t('invocationCache.enableSucceeded'),
+          status: 'success',
+        })
+      );
+    } catch {
+      dispatch(
+        addToast({
+          title: t('invocationCache.enableFailed'),
+          status: 'error',
+        })
+      );
+    }
+  }, [isDisabled, trigger, dispatch, t]);
+
+  return { enableInvocationCache, isLoading, cacheStatus, isDisabled };
+};
diff --git a/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts b/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts
index 2d3537998d..ffe2afd2f6 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts
@@ -1,4 +1,5 @@
 import { api } from '..';
+import { paths } from '../schema';
 import { AppConfig, AppVersion } from '../types';
 
 export const appInfoApi = api.injectEndpoints({
@@ -19,7 +20,45 @@ export const appInfoApi = api.injectEndpoints({
       providesTags: ['AppConfig'],
       keepUnusedDataFor: 86400000, // 1 day
     }),
+    getInvocationCacheStatus: build.query<
+      paths['/api/v1/app/invocation_cache/status']['get']['responses']['200']['content']['application/json'],
+      void
+    >({
+      query: () => ({
+        url: `app/invocation_cache/status`,
+        method: 'GET',
+      }),
+      providesTags: ['InvocationCacheStatus'],
+    }),
+    clearInvocationCache: build.mutation<void, void>({
+      query: () => ({
+        url: `app/invocation_cache`,
+        method: 'DELETE',
+      }),
+      invalidatesTags: ['InvocationCacheStatus'],
+    }),
+    enableInvocationCache: build.mutation<void, void>({
+      query: () => ({
+        url: `app/invocation_cache/enable`,
+        method: 'PUT',
+      }),
+      invalidatesTags: ['InvocationCacheStatus'],
+    }),
+    disableInvocationCache: build.mutation<void, void>({
+      query: () => ({
+        url: `app/invocation_cache/disable`,
+        method: 'PUT',
+      }),
+      invalidatesTags: ['InvocationCacheStatus'],
+    }),
   }),
 });
 
-export const { useGetAppVersionQuery, useGetAppConfigQuery } = appInfoApi;
+export const {
+  useGetAppVersionQuery,
+  useGetAppConfigQuery,
+  useClearInvocationCacheMutation,
+  useDisableInvocationCacheMutation,
+  useEnableInvocationCacheMutation,
+  useGetInvocationCacheStatusQuery,
+} = appInfoApi;
diff --git a/invokeai/frontend/web/src/services/api/index.ts b/invokeai/frontend/web/src/services/api/index.ts
index 8b4f886bb0..b39b11af29 100644
--- a/invokeai/frontend/web/src/services/api/index.ts
+++ b/invokeai/frontend/web/src/services/api/index.ts
@@ -24,6 +24,7 @@ export const tagTypes = [
   'SessionQueueStatus',
   'SessionProcessorStatus',
   'BatchStatus',
+  'InvocationCacheStatus',
 ];
 export type ApiTagDescription = TagDescription<(typeof tagTypes)[number]>;
 export const LIST_TAG = 'LIST';
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 26cb798594..87c0c6828d 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -317,6 +317,34 @@ export type paths = {
      */
     post: operations["set_log_level"];
   };
+  "/api/v1/app/invocation_cache": {
+    /**
+     * Clear Invocation Cache
+     * @description Clears the invocation cache
+     */
+    delete: operations["clear_invocation_cache"];
+  };
+  "/api/v1/app/invocation_cache/enable": {
+    /**
+     * Enable Invocation Cache
+     * @description Clears the invocation cache
+     */
+    put: operations["enable_invocation_cache"];
+  };
+  "/api/v1/app/invocation_cache/disable": {
+    /**
+     * Disable Invocation Cache
+     * @description Clears the invocation cache
+     */
+    put: operations["disable_invocation_cache"];
+  };
+  "/api/v1/app/invocation_cache/status": {
+    /**
+     * Get Invocation Cache Status
+     * @description Clears the invocation cache
+     */
+    get: operations["get_invocation_cache_status"];
+  };
   "/api/v1/queue/{queue_id}/enqueue_graph": {
     /**
      * Enqueue Graph
@@ -1259,11 +1287,6 @@ export type components = {
        * @default true
        */
       use_cache?: boolean;
-      /**
-       * CLIP
-       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
-       */
-      clip?: components["schemas"]["ClipField"];
       /**
        * Skipped Layers
        * @description Number of layers to skip in text encoder
@@ -1276,6 +1299,11 @@ export type components = {
        * @enum {string}
        */
       type: "clip_skip";
+      /**
+       * CLIP
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
+       */
+      clip?: components["schemas"]["ClipField"];
     };
     /**
      * ClipSkipInvocationOutput
@@ -2020,7 +2048,7 @@ export type components = {
        * Clip Skip
        * @description The number of skipped CLIP layers
        */
-      clip_skip: number;
+      clip_skip?: number;
       /**
        * Model
        * @description The main model used for inference
@@ -2309,10 +2337,7 @@ export type components = {
        * @enum {string}
        */
       scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
-      /**
-       * Control
-       * @description ControlNet(s) to apply
-       */
+      /** Control */
       control?: components["schemas"]["ControlField"] | components["schemas"]["ControlField"][];
       /**
        * IP-Adapter
@@ -4718,6 +4743,34 @@ export type components = {
        */
       type: "integer_output";
     };
+    /** InvocationCacheStatus */
+    InvocationCacheStatus: {
+      /**
+       * Size
+       * @description The current size of the invocation cache
+       */
+      size: number;
+      /**
+       * Hits
+       * @description The number of cache hits
+       */
+      hits: number;
+      /**
+       * Misses
+       * @description The number of cache misses
+       */
+      misses: number;
+      /**
+       * Enabled
+       * @description Whether the invocation cache is enabled
+       */
+      enabled: boolean;
+      /**
+       * Max Size
+       * @description The maximum size of the invocation cache
+       */
+      max_size: number;
+    };
     /**
      * IterateInvocation
      * @description Iterates over a list of items
@@ -7497,11 +7550,6 @@ export type components = {
        * @default false
        */
       use_cache?: boolean;
-      /**
-       * Image
-       * @description The image to load
-       */
-      image?: components["schemas"]["ImageField"];
       /**
        * Metadata
        * @description Optional core metadata to be written to image
@@ -7513,6 +7561,11 @@ export type components = {
        * @enum {string}
        */
       type: "save_image";
+      /**
+       * Image
+       * @description The image to load
+       */
+      image?: components["schemas"]["ImageField"];
     };
     /**
      * Scale Latents
@@ -9042,18 +9095,6 @@ export type components = {
       /** Ui Order */
       ui_order?: number;
     };
-    /**
-     * IPAdapterModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    IPAdapterModelFormat: "invokeai";
-    /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
@@ -9066,24 +9107,36 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusion1ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * CLIPVisionModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     CLIPVisionModelFormat: "diffusers";
+    /**
+     * StableDiffusion1ModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    /**
+     * IPAdapterModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    IPAdapterModelFormat: "invokeai";
+    /**
+     * ControlNetModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -10505,6 +10558,62 @@ export type operations = {
       };
     };
   };
+  /**
+   * Clear Invocation Cache
+   * @description Clears the invocation cache
+   */
+  clear_invocation_cache: {
+    responses: {
+      /** @description The operation was successful */
+      200: {
+        content: {
+          "application/json": unknown;
+        };
+      };
+    };
+  };
+  /**
+   * Enable Invocation Cache
+   * @description Clears the invocation cache
+   */
+  enable_invocation_cache: {
+    responses: {
+      /** @description The operation was successful */
+      200: {
+        content: {
+          "application/json": unknown;
+        };
+      };
+    };
+  };
+  /**
+   * Disable Invocation Cache
+   * @description Clears the invocation cache
+   */
+  disable_invocation_cache: {
+    responses: {
+      /** @description The operation was successful */
+      200: {
+        content: {
+          "application/json": unknown;
+        };
+      };
+    };
+  };
+  /**
+   * Get Invocation Cache Status
+   * @description Clears the invocation cache
+   */
+  get_invocation_cache_status: {
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["InvocationCacheStatus"];
+        };
+      };
+    };
+  };
   /**
    * Enqueue Graph
    * @description Enqueues a graph for single execution.

From fa54974bffe20b2cd6b8c4f377ae0015d8a5b89f Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 22:12:11 +1000
Subject: [PATCH 241/265] feat(nodes): invocation cache reports disabled if max
 size is 0

---
 .../services/invocation_cache/invocation_cache_memory.py    | 6 +++++-
 .../src/features/queue/hooks/useDisableInvocationCache.ts   | 4 ++--
 .../src/features/queue/hooks/useEnableInvocationCache.ts    | 4 ++--
 3 files changed, 9 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/services/invocation_cache/invocation_cache_memory.py b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
index a1910a0bd8..be1d0686e2 100644
--- a/invokeai/app/services/invocation_cache/invocation_cache_memory.py
+++ b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
@@ -75,16 +75,20 @@ class MemoryInvocationCache(InvocationCacheBase):
         return hash(invocation.json(exclude={"id"}))
 
     def disable(self) -> None:
+        if self.__max_cache_size == 0:
+            return
         self.__disabled = True
 
     def enable(self) -> None:
+        if self.__max_cache_size == 0:
+            return
         self.__disabled = False
 
     def get_status(self) -> InvocationCacheStatus:
         return InvocationCacheStatus(
             hits=self.__hits,
             misses=self.__misses,
-            enabled=not self.__disabled,
+            enabled=not self.__disabled and self.__max_cache_size > 0,
             size=len(self.__cache),
             max_size=self.__max_cache_size,
         )
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts b/invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts
index 6f0f41498a..8d3288aad2 100644
--- a/invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts
+++ b/invokeai/frontend/web/src/features/queue/hooks/useDisableInvocationCache.ts
@@ -17,8 +17,8 @@ export const useDisableInvocationCache = () => {
   });
 
   const isDisabled = useMemo(
-    () => !cacheStatus?.enabled || !isConnected,
-    [cacheStatus?.enabled, isConnected]
+    () => !cacheStatus?.enabled || !isConnected || cacheStatus?.max_size === 0,
+    [cacheStatus?.enabled, cacheStatus?.max_size, isConnected]
   );
 
   const disableInvocationCache = useCallback(async () => {
diff --git a/invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts b/invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts
index f061dc97ec..2ffef29b19 100644
--- a/invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts
+++ b/invokeai/frontend/web/src/features/queue/hooks/useEnableInvocationCache.ts
@@ -17,8 +17,8 @@ export const useEnableInvocationCache = () => {
   });
 
   const isDisabled = useMemo(
-    () => cacheStatus?.enabled || !isConnected,
-    [cacheStatus?.enabled, isConnected]
+    () => cacheStatus?.enabled || !isConnected || cacheStatus?.max_size === 0,
+    [cacheStatus?.enabled, cacheStatus?.max_size, isConnected]
   );
 
   const enableInvocationCache = useCallback(async () => {

From 77e93888cfd4d03185f598d44e19faac1c318870 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 22:54:39 +1000
Subject: [PATCH 242/265] fix(ui): do not poll for cache status unless
 connected, processor is running and the queue is not empty

---
 .../queue/components/InvocationCacheStatus.tsx   | 16 +++++++++++++---
 1 file changed, 13 insertions(+), 3 deletions(-)

diff --git a/invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx b/invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx
index 7af2c99bcf..423ab09376 100644
--- a/invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/InvocationCacheStatus.tsx
@@ -1,17 +1,27 @@
 import { ButtonGroup } from '@chakra-ui/react';
+import { useAppSelector } from 'app/store/storeHooks';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { useGetInvocationCacheStatusQuery } from 'services/api/endpoints/appInfo';
+import { useGetQueueStatusQuery } from 'services/api/endpoints/queue';
 import ClearInvocationCacheButton from './ClearInvocationCacheButton';
 import ToggleInvocationCacheButton from './ToggleInvocationCacheButton';
 import StatusStatGroup from './common/StatusStatGroup';
 import StatusStatItem from './common/StatusStatItem';
 
 const InvocationCacheStatus = () => {
-  const { data: cacheStatus } = useGetInvocationCacheStatusQuery(undefined, {
-    pollingInterval: 5000,
-  });
   const { t } = useTranslation();
+  const isConnected = useAppSelector((state) => state.system.isConnected);
+  const { data: queueStatus } = useGetQueueStatusQuery(undefined);
+  const { data: cacheStatus } = useGetInvocationCacheStatusQuery(undefined, {
+    pollingInterval:
+      isConnected &&
+      queueStatus?.processor.is_started &&
+      queueStatus?.queue.pending > 0
+        ? 5000
+        : 0,
+  });
+
   return (
     <StatusStatGroup>
       <StatusStatItem

From 4f2bf7e7e83c3de9797569cf4e1be7d1ab340fe8 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 12:39:48 +1000
Subject: [PATCH 243/265] fix(ui): workflow editor side panel remembers
 positioning

closes #4402
---
 .../features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx | 1 +
 1 file changed, 1 insertion(+)

diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx
index 4f9edfa0e2..fd1f20b7a1 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx
@@ -45,6 +45,7 @@ const NodeEditorPanelGroup = () => {
       <PanelGroup
         ref={panelGroupRef}
         id="workflow-panel-group"
+        autoSaveId="workflow-panel-group"
         direction="vertical"
         style={{ height: '100%', width: '100%' }}
         storage={panelStorage}

From 456a0a59e0300654e66b62d662178225568e1b16 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 21 Sep 2023 23:05:14 +1000
Subject: [PATCH 244/265] fix(ui): do not reset node outputs on queue item
 completed

---
 .../src/features/nodes/store/nodesSlice.ts    | 25 +++----------------
 1 file changed, 3 insertions(+), 22 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index e59105348f..71073068ae 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -1,5 +1,5 @@
 import { createSlice, PayloadAction } from '@reduxjs/toolkit';
-import { cloneDeep, forEach, isEqual, map, uniqBy } from 'lodash-es';
+import { cloneDeep, forEach, isEqual, uniqBy } from 'lodash-es';
 import {
   addEdge,
   applyEdgeChanges,
@@ -19,7 +19,6 @@ import {
   XYPosition,
 } from 'reactflow';
 import { receivedOpenAPISchema } from 'services/api/thunks/schema';
-import { sessionCanceled, sessionInvoked } from 'services/api/thunks/session';
 import { ImageField } from 'services/api/types';
 import {
   appSocketGeneratorProgress,
@@ -869,28 +868,10 @@ const nodesSlice = createSlice({
         node.progressImage = progress_image ?? null;
       }
     });
-    builder.addCase(sessionInvoked.fulfilled, (state) => {
-      forEach(state.nodeExecutionStates, (nes) => {
-        nes.status = NodeStatus.PENDING;
-        nes.error = null;
-        nes.progress = null;
-        nes.progressImage = null;
-        nes.outputs = [];
-      });
-    });
-    builder.addCase(sessionCanceled.fulfilled, (state) => {
-      map(state.nodeExecutionStates, (nes) => {
-        if (nes.status === NodeStatus.IN_PROGRESS) {
-          nes.status = NodeStatus.PENDING;
-        }
-      });
-    });
     builder.addCase(appSocketQueueItemStatusChanged, (state, action) => {
-      if (
-        ['completed', 'canceled', 'failed'].includes(action.payload.data.status)
-      ) {
+      if (['in_progress'].includes(action.payload.data.status)) {
         forEach(state.nodeExecutionStates, (nes) => {
-          nes.status = NodeStatus.PENDING;
+          nes.status = NodeStatus.IN_PROGRESS;
           nes.error = null;
           nes.progress = null;
           nes.progressImage = null;

From 883e9973ece161ae46833ba9c45dbf3e4ca12a4e Mon Sep 17 00:00:00 2001
From: Brandon Rising <brandon@invoke.ai>
Date: Thu, 21 Sep 2023 11:10:25 -0400
Subject: [PATCH 245/265] When an exception happens within the session
 processor loop, record and move on

---
 .../session_processor_default.py              | 43 ++++++++++---------
 1 file changed, 23 insertions(+), 20 deletions(-)

diff --git a/invokeai/app/services/session_processor/session_processor_default.py b/invokeai/app/services/session_processor/session_processor_default.py
index b682c7e56c..5f493aa0e2 100644
--- a/invokeai/app/services/session_processor/session_processor_default.py
+++ b/invokeai/app/services/session_processor/session_processor_default.py
@@ -92,30 +92,33 @@ class DefaultSessionProcessor(SessionProcessorBase):
             self.__invoker.services.logger
             while not stop_event.is_set():
                 poll_now_event.clear()
+                try:
+                    # do not dequeue if there is already a session running
+                    if self.__queue_item is None and resume_event.is_set():
+                        queue_item = self.__invoker.services.session_queue.dequeue()
 
-                # do not dequeue if there is already a session running
-                if self.__queue_item is None and resume_event.is_set():
-                    queue_item = self.__invoker.services.session_queue.dequeue()
+                        if queue_item is not None:
+                            self.__invoker.services.logger.debug(f"Executing queue item {queue_item.item_id}")
+                            self.__queue_item = queue_item
+                            self.__invoker.services.graph_execution_manager.set(queue_item.session)
+                            self.__invoker.invoke(
+                                session_queue_batch_id=queue_item.batch_id,
+                                session_queue_id=queue_item.queue_id,
+                                session_queue_item_id=queue_item.item_id,
+                                graph_execution_state=queue_item.session,
+                                invoke_all=True,
+                            )
+                            queue_item = None
 
-                    if queue_item is not None:
-                        self.__invoker.services.logger.debug(f"Executing queue item {queue_item.item_id}")
-                        self.__queue_item = queue_item
-                        self.__invoker.services.graph_execution_manager.set(queue_item.session)
-                        self.__invoker.invoke(
-                            session_queue_batch_id=queue_item.batch_id,
-                            session_queue_id=queue_item.queue_id,
-                            session_queue_item_id=queue_item.item_id,
-                            graph_execution_state=queue_item.session,
-                            invoke_all=True,
-                        )
-                        queue_item = None
-
-                if queue_item is None:
-                    self.__invoker.services.logger.debug("Waiting for next polling interval or event")
-                    poll_now_event.wait(POLLING_INTERVAL)
+                    if queue_item is None:
+                        self.__invoker.services.logger.debug("Waiting for next polling interval or event")
+                        poll_now_event.wait(POLLING_INTERVAL)
+                        continue
+                except Exception as e:
+                    self.__invoker.services.logger.error(f"Error in session processor: {e}")
                     continue
         except Exception as e:
-            self.__invoker.services.logger.error(f"Error in session processor: {e}")
+            self.__invoker.services.logger.error(f"Fatal Error in session processor: {e}")
             pass
         finally:
             stop_event.clear()

From 6cc7b55ec543127450e025e34b6ea533801f615b Mon Sep 17 00:00:00 2001
From: Brandon Rising <brandon@invoke.ai>
Date: Thu, 21 Sep 2023 11:18:57 -0400
Subject: [PATCH 246/265] Add wait on exception

---
 .../app/services/session_processor/session_processor_default.py  | 1 +
 1 file changed, 1 insertion(+)

diff --git a/invokeai/app/services/session_processor/session_processor_default.py b/invokeai/app/services/session_processor/session_processor_default.py
index 5f493aa0e2..fbe754b897 100644
--- a/invokeai/app/services/session_processor/session_processor_default.py
+++ b/invokeai/app/services/session_processor/session_processor_default.py
@@ -116,6 +116,7 @@ class DefaultSessionProcessor(SessionProcessorBase):
                         continue
                 except Exception as e:
                     self.__invoker.services.logger.error(f"Error in session processor: {e}")
+                    poll_now_event.wait(POLLING_INTERVAL)
                     continue
         except Exception as e:
             self.__invoker.services.logger.error(f"Fatal Error in session processor: {e}")

From ca7a7b57bbb994932e5561d044a2f8c025c892f9 Mon Sep 17 00:00:00 2001
From: Jennifer Player <chainchompa@gmail.com>
Date: Thu, 21 Sep 2023 11:30:10 -0400
Subject: [PATCH 247/265] clear out loras before using metadata loras

---
 .../web/src/features/parameters/hooks/useRecallParameters.ts   | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
index bc850df0d0..4fb9a0ce2c 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
@@ -21,7 +21,7 @@ import {
   loraModelsAdapter,
   useGetLoRAModelsQuery,
 } from '../../../services/api/endpoints/models';
-import { loraRecalled } from '../../lora/store/loraSlice';
+import { loraRecalled, lorasCleared } from '../../lora/store/loraSlice';
 import { initialImageSelected, modelSelected } from '../store/actions';
 import {
   setCfgScale,
@@ -509,6 +509,7 @@ export const useRecallParameters = () => {
         dispatch(setRefinerStart(refiner_start));
       }
 
+      dispatch(lorasCleared());
       loras?.forEach((lora) => {
         const result = prepareLoRAMetadataItem(lora);
         if (result.lora) {

From 6d2b4013f8b24f3042a9c7704e824dfadb0f9271 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 21 Sep 2023 12:37:27 -0400
Subject: [PATCH 248/265] Respect INVOKEAI_ prefix on environment variables

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

diff --git a/invokeai/app/services/config/invokeai_config.py b/invokeai/app/services/config/invokeai_config.py
index 65bf9b9eba..51ccf45704 100644
--- a/invokeai/app/services/config/invokeai_config.py
+++ b/invokeai/app/services/config/invokeai_config.py
@@ -277,6 +277,7 @@ class InvokeAIAppConfig(InvokeAISettings):
 
     class Config:
         validate_assignment = True
+        env_prefix = "INVOKEAI"
 
     def parse_args(self, argv: Optional[list[str]] = None, conf: Optional[DictConfig] = None, clobber=False):
         """

From 28a1a6939f9e99deea367be8204ddbe6b62494bd Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 21 Sep 2023 12:43:34 -0400
Subject: [PATCH 249/265] add regression test

---
 tests/test_config.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/tests/test_config.py b/tests/test_config.py
index a950a9c06f..2b2492f6a6 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -121,6 +121,12 @@ def test_env_override(patch_rootdir):
     conf.parse_args(conf=init1, argv=[])
     assert conf.max_cache_size == 20
 
+    # make sure that prefix is respected
+    del os.environ["INVOKEAI_always_use_cpu"]
+    os.environ["always_use_cpu"] = "True"
+    conf.parse_args(conf=init1, argv=[])
+    assert conf.always_use_cpu is False
+
 
 def test_root_resists_cwd(patch_rootdir):
     from invokeai.app.services.config import InvokeAIAppConfig

From 14ce7cf09c0cc1a28f503c6ffa806782111069d8 Mon Sep 17 00:00:00 2001
From: Mary Hipp Rogers <maryhipp@gmail.com>
Date: Thu, 21 Sep 2023 15:08:32 -0400
Subject: [PATCH 250/265] fix circular dep with `recallAllParameters` (#4640)

* break out separate functions for preselected images, remove recallAllParameters dep as it causes circular logic with model being set

* lint

---------

Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
---
 .../frontend/web/src/app/components/App.tsx   | 21 ++++-
 .../parameters/hooks/usePreselectedImage.ts   | 84 +++++++------------
 2 files changed, 48 insertions(+), 57 deletions(-)

diff --git a/invokeai/frontend/web/src/app/components/App.tsx b/invokeai/frontend/web/src/app/components/App.tsx
index 8c033440e3..b3ffeee333 100644
--- a/invokeai/frontend/web/src/app/components/App.tsx
+++ b/invokeai/frontend/web/src/app/components/App.tsx
@@ -36,7 +36,8 @@ const App = ({ config = DEFAULT_CONFIG, selectedImage }: Props) => {
 
   const logger = useLogger('system');
   const dispatch = useAppDispatch();
-  const { handlePreselectedImage } = usePreselectedImage();
+  const { handleSendToCanvas, handleSendToImg2Img, handleUseAllMetadata } =
+    usePreselectedImage(selectedImage?.imageName);
   const handleReset = useCallback(() => {
     localStorage.clear();
     location.reload();
@@ -59,8 +60,22 @@ const App = ({ config = DEFAULT_CONFIG, selectedImage }: Props) => {
   }, [dispatch]);
 
   useEffect(() => {
-    handlePreselectedImage(selectedImage);
-  }, [handlePreselectedImage, selectedImage]);
+    if (selectedImage && selectedImage.action === 'sendToCanvas') {
+      handleSendToCanvas();
+    }
+  }, [selectedImage, handleSendToCanvas]);
+
+  useEffect(() => {
+    if (selectedImage && selectedImage.action === 'sendToImg2Img') {
+      handleSendToImg2Img();
+    }
+  }, [selectedImage, handleSendToImg2Img]);
+
+  useEffect(() => {
+    if (selectedImage && selectedImage.action === 'useAllParameters') {
+      handleUseAllMetadata();
+    }
+  }, [selectedImage, handleUseAllMetadata]);
 
   const headerComponent = useStore($headerComponent);
 
diff --git a/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts b/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts
index 62bdab616a..a14430a55d 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts
@@ -1,7 +1,7 @@
 import { skipToken } from '@reduxjs/toolkit/dist/query';
 import { CoreMetadata } from 'features/nodes/types/types';
 import { t } from 'i18next';
-import { useCallback, useState } from 'react';
+import { useCallback } from 'react';
 import { useAppToaster } from '../../../app/components/Toaster';
 import { useAppDispatch } from '../../../app/store/storeHooks';
 import {
@@ -13,70 +13,46 @@ import { setActiveTab } from '../../ui/store/uiSlice';
 import { initialImageSelected } from '../store/actions';
 import { useRecallParameters } from './useRecallParameters';
 
-type SelectedImage = {
-  imageName: string;
-  action: 'sendToImg2Img' | 'sendToCanvas' | 'useAllParameters';
-};
-
-export const usePreselectedImage = () => {
+export const usePreselectedImage = (imageName?: string) => {
   const dispatch = useAppDispatch();
-  const [imageNameForDto, setImageNameForDto] = useState<string | undefined>();
-  const [imageNameForMetadata, setImageNameForMetadata] = useState<
-    string | undefined
-  >();
+
   const { recallAllParameters } = useRecallParameters();
   const toaster = useAppToaster();
 
   const { currentData: selectedImageDto } = useGetImageDTOQuery(
-    imageNameForDto ?? skipToken
+    imageName ?? skipToken
   );
 
   const { currentData: selectedImageMetadata } = useGetImageMetadataQuery(
-    imageNameForMetadata ?? skipToken
+    imageName ?? skipToken
   );
 
-  const handlePreselectedImage = useCallback(
-    (selectedImage?: SelectedImage) => {
-      if (!selectedImage) {
-        return;
-      }
+  const handleSendToCanvas = useCallback(() => {
+    if (selectedImageDto) {
+      dispatch(setInitialCanvasImage(selectedImageDto));
+      dispatch(setActiveTab('unifiedCanvas'));
+      toaster({
+        title: t('toast.sentToUnifiedCanvas'),
+        status: 'info',
+        duration: 2500,
+        isClosable: true,
+      });
+    }
+  }, [dispatch, toaster, selectedImageDto]);
 
-      if (selectedImage.action === 'sendToCanvas') {
-        setImageNameForDto(selectedImage?.imageName);
-        if (selectedImageDto) {
-          dispatch(setInitialCanvasImage(selectedImageDto));
-          dispatch(setActiveTab('unifiedCanvas'));
-          toaster({
-            title: t('toast.sentToUnifiedCanvas'),
-            status: 'info',
-            duration: 2500,
-            isClosable: true,
-          });
-        }
-      }
+  const handleSendToImg2Img = useCallback(() => {
+    if (selectedImageDto) {
+      dispatch(initialImageSelected(selectedImageDto));
+    }
+  }, [dispatch, selectedImageDto]);
 
-      if (selectedImage.action === 'sendToImg2Img') {
-        setImageNameForDto(selectedImage?.imageName);
-        if (selectedImageDto) {
-          dispatch(initialImageSelected(selectedImageDto));
-        }
-      }
+  const handleUseAllMetadata = useCallback(() => {
+    if (selectedImageMetadata) {
+      recallAllParameters(selectedImageMetadata.metadata as CoreMetadata);
+    }
+    // disabled because `recallAllParameters` changes the model, but its dep to prepare LoRAs has model as a dep. this introduces circular logic that causes infinite re-renders
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [selectedImageMetadata]);
 
-      if (selectedImage.action === 'useAllParameters') {
-        setImageNameForMetadata(selectedImage?.imageName);
-        if (selectedImageMetadata) {
-          recallAllParameters(selectedImageMetadata.metadata as CoreMetadata);
-        }
-      }
-    },
-    [
-      dispatch,
-      selectedImageDto,
-      selectedImageMetadata,
-      recallAllParameters,
-      toaster,
-    ]
-  );
-
-  return { handlePreselectedImage };
+  return { handleSendToCanvas, handleSendToImg2Img, handleUseAllMetadata };
 };

From 5601858f4f9b72e3e1a42f4e39c535186b929766 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 22 Sep 2023 21:38:51 +1000
Subject: [PATCH 251/265] feat(ui): allow numbers to connect to strings

Pydantic handles the casting so this is always safe.

Also de-duplicate some validation logic code that was needlessly duplicated.
---
 invokeai/app/services/graph.py                |  4 +
 .../nodes/hooks/useIsValidConnection.ts       | 78 ++++---------------
 .../util/makeIsConnectionValidSelector.ts     | 69 +---------------
 .../util/validateSourceAndTargetTypes.ts      | 74 ++++++++++++++++++
 4 files changed, 95 insertions(+), 130 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/store/util/validateSourceAndTargetTypes.ts

diff --git a/invokeai/app/services/graph.py b/invokeai/app/services/graph.py
index 2a5fc4c441..9dccd14026 100644
--- a/invokeai/app/services/graph.py
+++ b/invokeai/app/services/graph.py
@@ -117,6 +117,10 @@ def are_connection_types_compatible(from_type: Any, to_type: Any) -> bool:
         if from_type is int and to_type is float:
             return True
 
+        # allow int|float -> str, pydantic will cast for us
+        if (from_type is int or from_type is float) and to_type is str:
+            return True
+
         # if not issubclass(from_type, to_type):
         if not is_union_subtype(from_type, to_type):
             return False
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts b/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts
index d1d10bb7e7..0439445c24 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts
@@ -3,12 +3,7 @@ import graphlib from '@dagrejs/graphlib';
 import { useAppSelector } from 'app/store/storeHooks';
 import { useCallback } from 'react';
 import { Connection, Edge, Node, useReactFlow } from 'reactflow';
-import {
-  COLLECTION_MAP,
-  COLLECTION_TYPES,
-  POLYMORPHIC_TO_SINGLE_MAP,
-  POLYMORPHIC_TYPES,
-} from '../types/constants';
+import { validateSourceAndTargetTypes } from '../store/util/validateSourceAndTargetTypes';
 import { InvocationNodeData } from '../types/types';
 
 /**
@@ -23,11 +18,6 @@ export const useIsValidConnection = () => {
   );
   const isValidConnection = useCallback(
     ({ source, sourceHandle, target, targetHandle }: Connection): boolean => {
-      if (!shouldValidateGraph) {
-        // manual override!
-        return true;
-      }
-
       const edges = flow.getEdges();
       const nodes = flow.getNodes();
       // Connection must have valid targets
@@ -52,6 +42,16 @@ export const useIsValidConnection = () => {
         return false;
       }
 
+      if (source === target) {
+        // Don't allow nodes to connect to themselves, even if validation is disabled
+        return false;
+      }
+
+      if (!shouldValidateGraph) {
+        // manual override!
+        return true;
+      }
+
       if (
         edges
           .filter((edge) => {
@@ -76,60 +76,8 @@ export const useIsValidConnection = () => {
         return false;
       }
 
-      /**
-       * Connection types must be the same for a connection, with exceptions:
-       * - CollectionItem can connect to any non-Collection
-       * - Non-Collections can connect to CollectionItem
-       * - Anything (non-Collections, Collections, Polymorphics) can connect to Polymorphics of the same base type
-       * - Generic Collection can connect to any other Collection or Polymorphic
-       * - Any Collection can connect to a Generic Collection
-       */
-
-      if (sourceType !== targetType) {
-        const isCollectionItemToNonCollection =
-          sourceType === 'CollectionItem' &&
-          !COLLECTION_TYPES.includes(targetType);
-
-        const isNonCollectionToCollectionItem =
-          targetType === 'CollectionItem' &&
-          !COLLECTION_TYPES.includes(sourceType) &&
-          !POLYMORPHIC_TYPES.includes(sourceType);
-
-        const isAnythingToPolymorphicOfSameBaseType =
-          POLYMORPHIC_TYPES.includes(targetType) &&
-          (() => {
-            if (!POLYMORPHIC_TYPES.includes(targetType)) {
-              return false;
-            }
-            const baseType =
-              POLYMORPHIC_TO_SINGLE_MAP[
-                targetType as keyof typeof POLYMORPHIC_TO_SINGLE_MAP
-              ];
-
-            const collectionType =
-              COLLECTION_MAP[baseType as keyof typeof COLLECTION_MAP];
-
-            return sourceType === baseType || sourceType === collectionType;
-          })();
-
-        const isGenericCollectionToAnyCollectionOrPolymorphic =
-          sourceType === 'Collection' &&
-          (COLLECTION_TYPES.includes(targetType) ||
-            POLYMORPHIC_TYPES.includes(targetType));
-
-        const isCollectionToGenericCollection =
-          targetType === 'Collection' && COLLECTION_TYPES.includes(sourceType);
-
-        const isIntToFloat = sourceType === 'integer' && targetType === 'float';
-
-        return (
-          isCollectionItemToNonCollection ||
-          isNonCollectionToCollectionItem ||
-          isAnythingToPolymorphicOfSameBaseType ||
-          isGenericCollectionToAnyCollectionOrPolymorphic ||
-          isCollectionToGenericCollection ||
-          isIntToFloat
-        );
+      if (!validateSourceAndTargetTypes(sourceType, targetType)) {
+        return false;
       }
 
       // Graphs much be acyclic (no loops!)
diff --git a/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts b/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
index ac157bb476..1be2d579d8 100644
--- a/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
@@ -1,15 +1,10 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { getIsGraphAcyclic } from 'features/nodes/hooks/useIsValidConnection';
-import {
-  COLLECTION_MAP,
-  COLLECTION_TYPES,
-  POLYMORPHIC_TO_SINGLE_MAP,
-  POLYMORPHIC_TYPES,
-} from 'features/nodes/types/constants';
 import { FieldType } from 'features/nodes/types/types';
-import { HandleType } from 'reactflow';
 import i18n from 'i18next';
+import { HandleType } from 'reactflow';
+import { validateSourceAndTargetTypes } from './validateSourceAndTargetTypes';
 
 /**
  * NOTE: The logic here must be duplicated in `invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts`
@@ -70,64 +65,8 @@ export const makeConnectionErrorSelector = (
       return i18n.t('nodes.inputMayOnlyHaveOneConnection');
     }
 
-    /**
-     * Connection types must be the same for a connection, with exceptions:
-     * - CollectionItem can connect to any non-Collection
-     * - Non-Collections can connect to CollectionItem
-     * - Anything (non-Collections, Collections, Polymorphics) can connect to Polymorphics of the same base type
-     * - Generic Collection can connect to any other Collection or Polymorphic
-     * - Any Collection can connect to a Generic Collection
-     */
-
-    if (sourceType !== targetType) {
-      const isCollectionItemToNonCollection =
-        sourceType === 'CollectionItem' &&
-        !COLLECTION_TYPES.includes(targetType);
-
-      const isNonCollectionToCollectionItem =
-        targetType === 'CollectionItem' &&
-        !COLLECTION_TYPES.includes(sourceType) &&
-        !POLYMORPHIC_TYPES.includes(sourceType);
-
-      const isAnythingToPolymorphicOfSameBaseType =
-        POLYMORPHIC_TYPES.includes(targetType) &&
-        (() => {
-          if (!POLYMORPHIC_TYPES.includes(targetType)) {
-            return false;
-          }
-          const baseType =
-            POLYMORPHIC_TO_SINGLE_MAP[
-              targetType as keyof typeof POLYMORPHIC_TO_SINGLE_MAP
-            ];
-
-          const collectionType =
-            COLLECTION_MAP[baseType as keyof typeof COLLECTION_MAP];
-
-          return sourceType === baseType || sourceType === collectionType;
-        })();
-
-      const isGenericCollectionToAnyCollectionOrPolymorphic =
-        sourceType === 'Collection' &&
-        (COLLECTION_TYPES.includes(targetType) ||
-          POLYMORPHIC_TYPES.includes(targetType));
-
-      const isCollectionToGenericCollection =
-        targetType === 'Collection' && COLLECTION_TYPES.includes(sourceType);
-
-      const isIntToFloat = sourceType === 'integer' && targetType === 'float';
-
-      if (
-        !(
-          isCollectionItemToNonCollection ||
-          isNonCollectionToCollectionItem ||
-          isAnythingToPolymorphicOfSameBaseType ||
-          isGenericCollectionToAnyCollectionOrPolymorphic ||
-          isCollectionToGenericCollection ||
-          isIntToFloat
-        )
-      ) {
-        return i18n.t('nodes.fieldTypesMustMatch');
-      }
+    if (!validateSourceAndTargetTypes(sourceType, targetType)) {
+      return i18n.t('nodes.fieldTypesMustMatch');
     }
 
     const isGraphAcyclic = getIsGraphAcyclic(
diff --git a/invokeai/frontend/web/src/features/nodes/store/util/validateSourceAndTargetTypes.ts b/invokeai/frontend/web/src/features/nodes/store/util/validateSourceAndTargetTypes.ts
new file mode 100644
index 0000000000..4f0be3329a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/store/util/validateSourceAndTargetTypes.ts
@@ -0,0 +1,74 @@
+import {
+  COLLECTION_MAP,
+  COLLECTION_TYPES,
+  POLYMORPHIC_TO_SINGLE_MAP,
+  POLYMORPHIC_TYPES,
+} from 'features/nodes/types/constants';
+import { FieldType } from 'features/nodes/types/types';
+
+export const validateSourceAndTargetTypes = (
+  sourceType: FieldType,
+  targetType: FieldType
+) => {
+  if (sourceType === targetType) {
+    return true;
+  }
+
+  /**
+   * Connection types must be the same for a connection, with exceptions:
+   * - CollectionItem can connect to any non-Collection
+   * - Non-Collections can connect to CollectionItem
+   * - Anything (non-Collections, Collections, Polymorphics) can connect to Polymorphics of the same base type
+   * - Generic Collection can connect to any other Collection or Polymorphic
+   * - Any Collection can connect to a Generic Collection
+   */
+
+  const isCollectionItemToNonCollection =
+    sourceType === 'CollectionItem' && !COLLECTION_TYPES.includes(targetType);
+
+  const isNonCollectionToCollectionItem =
+    targetType === 'CollectionItem' &&
+    !COLLECTION_TYPES.includes(sourceType) &&
+    !POLYMORPHIC_TYPES.includes(sourceType);
+
+  const isAnythingToPolymorphicOfSameBaseType =
+    POLYMORPHIC_TYPES.includes(targetType) &&
+    (() => {
+      if (!POLYMORPHIC_TYPES.includes(targetType)) {
+        return false;
+      }
+      const baseType =
+        POLYMORPHIC_TO_SINGLE_MAP[
+          targetType as keyof typeof POLYMORPHIC_TO_SINGLE_MAP
+        ];
+
+      const collectionType =
+        COLLECTION_MAP[baseType as keyof typeof COLLECTION_MAP];
+
+      return sourceType === baseType || sourceType === collectionType;
+    })();
+
+  const isGenericCollectionToAnyCollectionOrPolymorphic =
+    sourceType === 'Collection' &&
+    (COLLECTION_TYPES.includes(targetType) ||
+      POLYMORPHIC_TYPES.includes(targetType));
+
+  const isCollectionToGenericCollection =
+    targetType === 'Collection' && COLLECTION_TYPES.includes(sourceType);
+
+  const isIntToFloat = sourceType === 'integer' && targetType === 'float';
+
+  const isIntOrFloatToString =
+    (sourceType === 'integer' || sourceType === 'float') &&
+    targetType === 'string';
+
+  return (
+    isCollectionItemToNonCollection ||
+    isNonCollectionToCollectionItem ||
+    isAnythingToPolymorphicOfSameBaseType ||
+    isGenericCollectionToAnyCollectionOrPolymorphic ||
+    isCollectionToGenericCollection ||
+    isIntToFloat ||
+    isIntOrFloatToString
+  );
+};

From 627444e17c870d3f3c404cbc6adaf818b2b97a21 Mon Sep 17 00:00:00 2001
From: Brandon Rising <brandon@invoke.ai>
Date: Thu, 21 Sep 2023 18:55:26 -0400
Subject: [PATCH 252/265] Add images to a board through nodes

---
 invokeai/app/invocations/boards.py | 54 ++++++++++++++++++++++++++++++
 1 file changed, 54 insertions(+)
 create mode 100644 invokeai/app/invocations/boards.py

diff --git a/invokeai/app/invocations/boards.py b/invokeai/app/invocations/boards.py
new file mode 100644
index 0000000000..7855265dfb
--- /dev/null
+++ b/invokeai/app/invocations/boards.py
@@ -0,0 +1,54 @@
+# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
+
+from invokeai.app.invocations.metadata import CoreMetadata
+from invokeai.app.invocations.primitives import ImageField
+
+from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, invocation, invocation_output, OutputField, BaseInvocationOutput
+
+
+@invocation_output("image_to_board_output")
+class ImageToBoardOutput(BaseInvocationOutput):
+    image: ImageField = OutputField(description="The image that was associated")
+    board_name: str = OutputField(description="Board this image was associated with")
+
+
+@invocation(
+    "image_to_board",
+    title="Associate Image with Board",
+    tags=["primitives", "board"],
+    category="primitives",
+    version="1.0.0",
+    use_cache=False,
+)
+class ImageToBoardInvocation(BaseInvocation):
+    """Associates an image with a board so you view it in the board's gallery."""
+
+    image: ImageField = InputField(description="The image to associate")
+    board_name: str = InputField(description="Name of the board you'd like associate this image with")
+
+    metadata: CoreMetadata = InputField(
+        default=None,
+        description=FieldDescriptions.core_metadata,
+        ui_hidden=True,
+    )
+
+    def invoke(self, context: InvocationContext) -> ImageToBoardOutput:
+        board_id = None
+        page = 0
+        page_size = 10
+        while not board_id:
+            boards = context.services.boards.get_many(page * page_size, page_size)
+            board_id = next(board.board_id for board in boards.items if board.board_name == self.board_name)
+            page += 1
+            if len(boards < page_size):
+                break
+
+        context.services.board_images.add_image_to_board(
+            board_id=board_id,
+            image_name=self.image.image_name,
+        )
+
+        return ImageToBoardOutput(
+            image=self.image,
+            board_id=board_id
+        )

From 43fbac26dfd66b9499d36edac3a0d167fa2ff715 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 22 Sep 2023 12:09:24 +1000
Subject: [PATCH 253/265] feat: move board logic to `save_image` node

- Remove the add-to-board node
- Create `BoardField` field type & add it to `save_image` node
- Add UI for `BoardField`
- Tighten up some loose types
- Make `save_image` node, in workflow editor, default to not intermediate
- Patch bump `save_image`
---
 invokeai/app/invocations/baseinvocation.py    |   5 +
 invokeai/app/invocations/boards.py            |  54 ---------
 invokeai/app/invocations/image.py             |  15 ++-
 invokeai/app/invocations/primitives.py        |   6 +
 invokeai/frontend/web/public/locales/en.json  |   2 +
 .../Invocation/fields/InputFieldRenderer.tsx  |  11 ++
 .../fields/inputs/BoardInputField.tsx         |  64 ++++++++++
 .../fields/inputs/SchedulerInputField.tsx     |   5 -
 .../features/nodes/hooks/useBuildNodeData.ts  |   2 +-
 .../src/features/nodes/store/nodesSlice.ts    |   8 ++
 .../web/src/features/nodes/types/constants.ts |  25 ++--
 .../web/src/features/nodes/types/types.ts     |  23 ++++
 .../nodes/util/fieldTemplateBuilders.ts       |  28 ++++-
 .../features/nodes/util/fieldValueBuilders.ts |   7 +-
 .../frontend/web/src/services/api/schema.d.ts | 114 ++++++++++--------
 15 files changed, 245 insertions(+), 124 deletions(-)
 delete mode 100644 invokeai/app/invocations/boards.py
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BoardInputField.tsx

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 97bd29ff17..97c6e5fc21 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -88,6 +88,8 @@ class FieldDescriptions:
     num_1 = "The first number"
     num_2 = "The second number"
     mask = "The mask to use for the operation"
+    board = "The board to save the image to"
+    image = "The image to process"
 
 
 class Input(str, Enum):
@@ -173,6 +175,7 @@ class UIType(str, Enum):
     WorkflowField = "WorkflowField"
     IsIntermediate = "IsIntermediate"
     MetadataField = "MetadataField"
+    BoardField = "BoardField"
     # endregion
 
 
@@ -656,6 +659,8 @@ def invocation(
     :param Optional[str] title: Adds a title to the invocation. Use if the auto-generated title isn't quite right. Defaults to None.
     :param Optional[list[str]] tags: Adds tags to the invocation. Invocations may be searched for by their tags. Defaults to None.
     :param Optional[str] category: Adds a category to the invocation. Used to group the invocations in the UI. Defaults to None.
+    :param Optional[str] version: Adds a version to the invocation. Must be a valid semver string. Defaults to None.
+    :param Optional[bool] use_cache: Whether or not to use the invocation cache. Defaults to True. The user may override this in the workflow editor.
     """
 
     def wrapper(cls: Type[GenericBaseInvocation]) -> Type[GenericBaseInvocation]:
diff --git a/invokeai/app/invocations/boards.py b/invokeai/app/invocations/boards.py
deleted file mode 100644
index 7855265dfb..0000000000
--- a/invokeai/app/invocations/boards.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
-
-from invokeai.app.invocations.metadata import CoreMetadata
-from invokeai.app.invocations.primitives import ImageField
-
-from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, invocation, invocation_output, OutputField, BaseInvocationOutput
-
-
-@invocation_output("image_to_board_output")
-class ImageToBoardOutput(BaseInvocationOutput):
-    image: ImageField = OutputField(description="The image that was associated")
-    board_name: str = OutputField(description="Board this image was associated with")
-
-
-@invocation(
-    "image_to_board",
-    title="Associate Image with Board",
-    tags=["primitives", "board"],
-    category="primitives",
-    version="1.0.0",
-    use_cache=False,
-)
-class ImageToBoardInvocation(BaseInvocation):
-    """Associates an image with a board so you view it in the board's gallery."""
-
-    image: ImageField = InputField(description="The image to associate")
-    board_name: str = InputField(description="Name of the board you'd like associate this image with")
-
-    metadata: CoreMetadata = InputField(
-        default=None,
-        description=FieldDescriptions.core_metadata,
-        ui_hidden=True,
-    )
-
-    def invoke(self, context: InvocationContext) -> ImageToBoardOutput:
-        board_id = None
-        page = 0
-        page_size = 10
-        while not board_id:
-            boards = context.services.boards.get_many(page * page_size, page_size)
-            board_id = next(board.board_id for board in boards.items if board.board_name == self.board_name)
-            page += 1
-            if len(boards < page_size):
-                break
-
-        context.services.board_images.add_image_to_board(
-            board_id=board_id,
-            image_name=self.image.image_name,
-        )
-
-        return ImageToBoardOutput(
-            image=self.image,
-            board_id=board_id
-        )
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 0403fa71e3..140dbe4919 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -8,12 +8,12 @@ import numpy
 from PIL import Image, ImageChops, ImageFilter, ImageOps
 
 from invokeai.app.invocations.metadata import CoreMetadata
-from invokeai.app.invocations.primitives import ColorField, ImageField, ImageOutput
+from invokeai.app.invocations.primitives import BoardField, ColorField, ImageField, ImageOutput
 from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark
 from invokeai.backend.image_util.safety_checker import SafetyChecker
 
 from ..models.image import ImageCategory, ResourceOrigin
-from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, invocation
+from .baseinvocation import BaseInvocation, FieldDescriptions, Input, InputField, InvocationContext, invocation
 
 
 @invocation("show_image", title="Show Image", tags=["image"], category="image", version="1.0.0")
@@ -972,13 +972,14 @@ class ImageChannelMultiplyInvocation(BaseInvocation):
     title="Save Image",
     tags=["primitives", "image"],
     category="primitives",
-    version="1.0.0",
+    version="1.0.1",
     use_cache=False,
 )
 class SaveImageInvocation(BaseInvocation):
     """Saves an image. Unlike an image primitive, this invocation stores a copy of the image."""
 
-    image: ImageField = InputField(description="The image to load")
+    image: ImageField = InputField(description=FieldDescriptions.image)
+    board: Optional[BoardField] = InputField(default=None, description=FieldDescriptions.board, input=Input.Direct)
     metadata: CoreMetadata = InputField(
         default=None,
         description=FieldDescriptions.core_metadata,
@@ -999,6 +1000,12 @@ class SaveImageInvocation(BaseInvocation):
             workflow=self.workflow,
         )
 
+        if self.board:
+            context.services.board_images.add_image_to_board(
+                board_id=self.board.board_id,
+                image_name=image_dto.image_name,
+            )
+
         return ImageOutput(
             image=ImageField(image_name=image_dto.image_name),
             width=image_dto.width,
diff --git a/invokeai/app/invocations/primitives.py b/invokeai/app/invocations/primitives.py
index 93cf29f7d6..c314edfd15 100644
--- a/invokeai/app/invocations/primitives.py
+++ b/invokeai/app/invocations/primitives.py
@@ -226,6 +226,12 @@ class ImageField(BaseModel):
     image_name: str = Field(description="The name of the image")
 
 
+class BoardField(BaseModel):
+    """A board primitive field"""
+
+    board_id: str = Field(description="The id of the board")
+
+
 @invocation_output("image_output")
 class ImageOutput(BaseInvocationOutput):
     """Base class for nodes that output a single image"""
diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 875b611026..a2c228c8a1 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -701,6 +701,8 @@
         "addNodeToolTip": "Add Node (Shift+A, Space)",
         "animatedEdges": "Animated Edges",
         "animatedEdgesHelp": "Animate selected edges and edges connected to selected nodes",
+        "boardField": "Board",
+        "boardFieldDescription": "A gallery board",
         "boolean": "Booleans",
         "booleanCollection": "Boolean Collection",
         "booleanCollectionDescription": "A collection of booleans.",
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
index 549c284c0c..5dc1305900 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
@@ -16,6 +16,7 @@ import SchedulerInputField from './inputs/SchedulerInputField';
 import StringInputField from './inputs/StringInputField';
 import VaeModelInputField from './inputs/VaeModelInputField';
 import IPAdapterModelInputField from './inputs/IPAdapterModelInputField';
+import BoardInputField from './inputs/BoardInputField';
 
 type InputFieldProps = {
   nodeId: string;
@@ -99,6 +100,16 @@ const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => {
     );
   }
 
+  if (field?.type === 'BoardField' && fieldTemplate?.type === 'BoardField') {
+    return (
+      <BoardInputField
+        nodeId={nodeId}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
   if (
     field?.type === 'MainModelField' &&
     fieldTemplate?.type === 'MainModelField'
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BoardInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BoardInputField.tsx
new file mode 100644
index 0000000000..a6e8cbb0c1
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/BoardInputField.tsx
@@ -0,0 +1,64 @@
+import { SelectItem } from '@mantine/core';
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
+import { fieldBoardValueChanged } from 'features/nodes/store/nodesSlice';
+import {
+  BoardInputFieldTemplate,
+  BoardInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo, useCallback } from 'react';
+import { useListAllBoardsQuery } from 'services/api/endpoints/boards';
+
+const BoardInputFieldComponent = (
+  props: FieldComponentProps<BoardInputFieldValue, BoardInputFieldTemplate>
+) => {
+  const { nodeId, field } = props;
+  const dispatch = useAppDispatch();
+
+  const { data, hasBoards } = useListAllBoardsQuery(undefined, {
+    selectFromResult: ({ data }) => {
+      const boards: SelectItem[] = [
+        {
+          label: 'None',
+          value: 'none',
+        },
+      ];
+      data?.forEach(({ board_id, board_name }) => {
+        boards.push({
+          label: board_name,
+          value: board_id,
+        });
+      });
+      return {
+        data: boards,
+        hasBoards: boards.length > 1,
+      };
+    },
+  });
+
+  const handleChange = useCallback(
+    (v: string | null) => {
+      dispatch(
+        fieldBoardValueChanged({
+          nodeId,
+          fieldName: field.name,
+          value: v && v !== 'none' ? { board_id: v } : undefined,
+        })
+      );
+    },
+    [dispatch, field.name, nodeId]
+  );
+
+  return (
+    <IAIMantineSearchableSelect
+      className="nowheel nodrag"
+      value={field.value?.board_id ?? 'none'}
+      data={data}
+      onChange={handleChange}
+      disabled={!hasBoards}
+    />
+  );
+};
+
+export default memo(BoardInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SchedulerInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SchedulerInputField.tsx
index 557c128942..e4a3fb2a3d 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SchedulerInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SchedulerInputField.tsx
@@ -65,11 +65,6 @@ const SchedulerInputField = (
   return (
     <IAIMantineSearchableSelect
       className="nowheel nodrag"
-      sx={{
-        '.mantine-Select-dropdown': {
-          width: '14rem !important',
-        },
-      }}
       value={field.value}
       data={data}
       onChange={handleChange}
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
index 9af7099988..40c3f029d7 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
@@ -143,7 +143,7 @@ export const useBuildNodeData = () => {
           notes: '',
           isOpen: true,
           embedWorkflow: false,
-          isIntermediate: true,
+          isIntermediate: type === 'save_image' ? false : true,
           inputs,
           outputs,
           useCache: template.useCache,
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index 71073068ae..1f3110474c 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -30,6 +30,7 @@ import {
 import { v4 as uuidv4 } from 'uuid';
 import { DRAG_HANDLE_CLASSNAME } from '../types/constants';
 import {
+  BoardInputFieldValue,
   BooleanInputFieldValue,
   ColorInputFieldValue,
   ControlNetModelInputFieldValue,
@@ -494,6 +495,12 @@ const nodesSlice = createSlice({
     ) => {
       fieldValueReducer(state, action);
     },
+    fieldBoardValueChanged: (
+      state,
+      action: FieldValueAction<BoardInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
     fieldImageValueChanged: (
       state,
       action: FieldValueAction<ImageInputFieldValue>
@@ -897,6 +904,7 @@ export const {
   imageCollectionFieldValueChanged,
   fieldStringValueChanged,
   fieldNumberValueChanged,
+  fieldBoardValueChanged,
   fieldBooleanValueChanged,
   fieldImageValueChanged,
   fieldColorValueChanged,
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index 92a6a32e3a..c41d8369b1 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -1,4 +1,9 @@
-import { FieldType, FieldUIConfig } from './types';
+import {
+  FieldType,
+  FieldTypeMap,
+  FieldTypeMapWithNumber,
+  FieldUIConfig,
+} from './types';
 import { t } from 'i18next';
 
 export const HANDLE_TOOLTIP_OPEN_DELAY = 500;
@@ -28,7 +33,7 @@ export const COLLECTION_TYPES: FieldType[] = [
   'ColorCollection',
 ];
 
-export const POLYMORPHIC_TYPES = [
+export const POLYMORPHIC_TYPES: FieldType[] = [
   'IntegerPolymorphic',
   'BooleanPolymorphic',
   'FloatPolymorphic',
@@ -40,7 +45,7 @@ export const POLYMORPHIC_TYPES = [
   'ColorPolymorphic',
 ];
 
-export const MODEL_TYPES = [
+export const MODEL_TYPES: FieldType[] = [
   'IPAdapterModelField',
   'ControlNetModelField',
   'LoRAModelField',
@@ -54,7 +59,7 @@ export const MODEL_TYPES = [
   'ClipField',
 ];
 
-export const COLLECTION_MAP = {
+export const COLLECTION_MAP: FieldTypeMapWithNumber = {
   integer: 'IntegerCollection',
   boolean: 'BooleanCollection',
   number: 'FloatCollection',
@@ -71,7 +76,7 @@ export const isCollectionItemType = (
 ): itemType is keyof typeof COLLECTION_MAP =>
   Boolean(itemType && itemType in COLLECTION_MAP);
 
-export const SINGLE_TO_POLYMORPHIC_MAP = {
+export const SINGLE_TO_POLYMORPHIC_MAP: FieldTypeMapWithNumber = {
   integer: 'IntegerPolymorphic',
   boolean: 'BooleanPolymorphic',
   number: 'FloatPolymorphic',
@@ -84,7 +89,7 @@ export const SINGLE_TO_POLYMORPHIC_MAP = {
   ColorField: 'ColorPolymorphic',
 };
 
-export const POLYMORPHIC_TO_SINGLE_MAP = {
+export const POLYMORPHIC_TO_SINGLE_MAP: FieldTypeMap = {
   IntegerPolymorphic: 'integer',
   BooleanPolymorphic: 'boolean',
   FloatPolymorphic: 'float',
@@ -96,7 +101,7 @@ export const POLYMORPHIC_TO_SINGLE_MAP = {
   ColorPolymorphic: 'ColorField',
 };
 
-export const TYPES_WITH_INPUT_COMPONENTS = [
+export const TYPES_WITH_INPUT_COMPONENTS: FieldType[] = [
   'string',
   'StringPolymorphic',
   'boolean',
@@ -117,6 +122,7 @@ export const TYPES_WITH_INPUT_COMPONENTS = [
   'SDXLMainModelField',
   'Scheduler',
   'IPAdapterModelField',
+  'BoardField',
 ];
 
 export const isPolymorphicItemType = (
@@ -240,6 +246,11 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     description: t('nodes.imageFieldDescription'),
     title: t('nodes.imageField'),
   },
+  BoardField: {
+    color: 'purple.500',
+    description: t('nodes.imageFieldDescription'),
+    title: t('nodes.imageField'),
+  },
   ImagePolymorphic: {
     color: 'purple.500',
     description: t('nodes.imagePolymorphicDescription'),
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index 2a3e5a762b..fc8fe10ccc 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -72,6 +72,7 @@ export type FieldUIConfig = {
 
 // TODO: Get this from the OpenAPI schema? may be tricky...
 export const zFieldType = z.enum([
+  'BoardField',
   'boolean',
   'BooleanCollection',
   'BooleanPolymorphic',
@@ -119,6 +120,10 @@ export const zFieldType = z.enum([
 ]);
 
 export type FieldType = z.infer<typeof zFieldType>;
+export type FieldTypeMap = { [key in FieldType]?: FieldType };
+export type FieldTypeMapWithNumber = {
+  [key in FieldType | 'number']?: FieldType;
+};
 
 export const zReservedFieldType = z.enum([
   'WorkflowField',
@@ -187,6 +192,11 @@ export const zImageField = z.object({
 });
 export type ImageField = z.infer<typeof zImageField>;
 
+export const zBoardField = z.object({
+  board_id: z.string().trim().min(1),
+});
+export type BoardField = z.infer<typeof zBoardField>;
+
 export const zLatentsField = z.object({
   latents_name: z.string().trim().min(1),
   seed: z.number().int().optional(),
@@ -494,6 +504,12 @@ export const zImageInputFieldValue = zInputFieldValueBase.extend({
 });
 export type ImageInputFieldValue = z.infer<typeof zImageInputFieldValue>;
 
+export const zBoardInputFieldValue = zInputFieldValueBase.extend({
+  type: z.literal('BoardField'),
+  value: zBoardField.optional(),
+});
+export type BoardInputFieldValue = z.infer<typeof zBoardInputFieldValue>;
+
 export const zImagePolymorphicInputFieldValue = zInputFieldValueBase.extend({
   type: z.literal('ImagePolymorphic'),
   value: zImageField.optional(),
@@ -630,6 +646,7 @@ export type SchedulerInputFieldValue = z.infer<
 >;
 
 export const zInputFieldValue = z.discriminatedUnion('type', [
+  zBoardInputFieldValue,
   zBooleanCollectionInputFieldValue,
   zBooleanInputFieldValue,
   zBooleanPolymorphicInputFieldValue,
@@ -770,6 +787,11 @@ export type BooleanPolymorphicInputFieldTemplate = Omit<
   type: 'BooleanPolymorphic';
 };
 
+export type BoardInputFieldTemplate = InputFieldTemplateBase & {
+  default: BoardField;
+  type: 'BoardField';
+};
+
 export type ImageInputFieldTemplate = InputFieldTemplateBase & {
   default: ImageField;
   type: 'ImageField';
@@ -952,6 +974,7 @@ export type WorkflowInputFieldTemplate = InputFieldTemplateBase & {
  * maximum length, pattern to match, etc).
  */
 export type InputFieldTemplate =
+  | BoardInputFieldTemplate
   | BooleanCollectionInputFieldTemplate
   | BooleanPolymorphicInputFieldTemplate
   | BooleanInputFieldTemplate
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index aaec058235..cf5f7c5523 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -62,6 +62,8 @@ import {
   ConditioningField,
   IPAdapterInputFieldTemplate,
   IPAdapterModelInputFieldTemplate,
+  BoardInputFieldTemplate,
+  InputFieldTemplate,
 } from '../types/types';
 import { ControlField } from 'services/api/types';
 
@@ -450,6 +452,19 @@ const buildIPAdapterModelInputFieldTemplate = ({
   return template;
 };
 
+const buildBoardInputFieldTemplate = ({
+  schemaObject,
+  baseField,
+}: BuildInputFieldArg): BoardInputFieldTemplate => {
+  const template: BoardInputFieldTemplate = {
+    ...baseField,
+    type: 'BoardField',
+    default: schemaObject.default ?? undefined,
+  };
+
+  return template;
+};
+
 const buildImageInputFieldTemplate = ({
   schemaObject,
   baseField,
@@ -851,7 +866,10 @@ export const getFieldType = (
   return;
 };
 
-const TEMPLATE_BUILDER_MAP = {
+const TEMPLATE_BUILDER_MAP: {
+  [key in FieldType]?: (arg: BuildInputFieldArg) => InputFieldTemplate;
+} = {
+  BoardField: buildBoardInputFieldTemplate,
   boolean: buildBooleanInputFieldTemplate,
   BooleanCollection: buildBooleanCollectionInputFieldTemplate,
   BooleanPolymorphic: buildBooleanPolymorphicInputFieldTemplate,
@@ -937,7 +955,13 @@ export const buildInputFieldTemplate = (
     return;
   }
 
-  return TEMPLATE_BUILDER_MAP[fieldType]({
+  const builder = TEMPLATE_BUILDER_MAP[fieldType];
+
+  if (!builder) {
+    return;
+  }
+
+  return builder({
     schemaObject: fieldSchema,
     baseField,
   });
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
index c29aaf262f..9c90595c70 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
@@ -1,7 +1,10 @@
-import { InputFieldTemplate, InputFieldValue } from '../types/types';
+import { FieldType, InputFieldTemplate, InputFieldValue } from '../types/types';
 
-const FIELD_VALUE_FALLBACK_MAP = {
+const FIELD_VALUE_FALLBACK_MAP: {
+  [key in FieldType]: InputFieldValue['value'];
+} = {
   enum: '',
+  BoardField: undefined,
   boolean: false,
   BooleanCollection: [],
   BooleanPolymorphic: false,
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 87c0c6828d..7c354dea86 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -804,6 +804,17 @@ export type components = {
        */
       image_count: number;
     };
+    /**
+     * BoardField
+     * @description A board primitive field
+     */
+    BoardField: {
+      /**
+       * Board Id
+       * @description The id of the board
+       */
+      board_id: string;
+    };
     /** Body_add_image_to_board */
     Body_add_image_to_board: {
       /**
@@ -1287,6 +1298,11 @@ export type components = {
        * @default true
        */
       use_cache?: boolean;
+      /**
+       * CLIP
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
+       */
+      clip?: components["schemas"]["ClipField"];
       /**
        * Skipped Layers
        * @description Number of layers to skip in text encoder
@@ -1299,11 +1315,6 @@ export type components = {
        * @enum {string}
        */
       type: "clip_skip";
-      /**
-       * CLIP
-       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
-       */
-      clip?: components["schemas"]["ClipField"];
     };
     /**
      * ClipSkipInvocationOutput
@@ -7550,6 +7561,16 @@ export type components = {
        * @default false
        */
       use_cache?: boolean;
+      /**
+       * Image
+       * @description The image to process
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Board
+       * @description The board to save the image to
+       */
+      board?: components["schemas"]["BoardField"];
       /**
        * Metadata
        * @description Optional core metadata to be written to image
@@ -7561,11 +7582,6 @@ export type components = {
        * @enum {string}
        */
       type: "save_image";
-      /**
-       * Image
-       * @description The image to load
-       */
-      image?: components["schemas"]["ImageField"];
     };
     /**
      * Scale Latents
@@ -7862,16 +7878,6 @@ export type components = {
        * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed.
        */
       session_id: string;
-      /**
-       * Field Values
-       * @description The field values that were used for this queue item
-       */
-      field_values?: components["schemas"]["NodeFieldValue"][];
-      /**
-       * Queue Id
-       * @description The id of the queue with which this item is associated
-       */
-      queue_id: string;
       /**
        * Error
        * @description The error message if this queue item errored
@@ -7897,6 +7903,16 @@ export type components = {
        * @description When this queue item was completed
        */
       completed_at?: string;
+      /**
+       * Queue Id
+       * @description The id of the queue with which this item is associated
+       */
+      queue_id: string;
+      /**
+       * Field Values
+       * @description The field values that were used for this queue item
+       */
+      field_values?: components["schemas"]["NodeFieldValue"][];
       /**
        * Session
        * @description The fully-populated session to be executed
@@ -7936,16 +7952,6 @@ export type components = {
        * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed.
        */
       session_id: string;
-      /**
-       * Field Values
-       * @description The field values that were used for this queue item
-       */
-      field_values?: components["schemas"]["NodeFieldValue"][];
-      /**
-       * Queue Id
-       * @description The id of the queue with which this item is associated
-       */
-      queue_id: string;
       /**
        * Error
        * @description The error message if this queue item errored
@@ -7971,6 +7977,16 @@ export type components = {
        * @description When this queue item was completed
        */
       completed_at?: string;
+      /**
+       * Queue Id
+       * @description The id of the queue with which this item is associated
+       */
+      queue_id: string;
+      /**
+       * Field Values
+       * @description The field values that were used for this queue item
+       */
+      field_values?: components["schemas"]["NodeFieldValue"][];
     };
     /** SessionQueueStatus */
     SessionQueueStatus: {
@@ -9052,7 +9068,7 @@ export type components = {
      * If a field should be provided a data type that does not exactly match the python type of the field,     use this to provide the type that should be used instead. See the node development docs for detail     on adding a new field type, which involves client-side changes.
      * @enum {string}
      */
-    UIType: "boolean" | "ColorField" | "ConditioningField" | "ControlField" | "float" | "ImageField" | "integer" | "LatentsField" | "string" | "BooleanCollection" | "ColorCollection" | "ConditioningCollection" | "ControlCollection" | "FloatCollection" | "ImageCollection" | "IntegerCollection" | "LatentsCollection" | "StringCollection" | "BooleanPolymorphic" | "ColorPolymorphic" | "ConditioningPolymorphic" | "ControlPolymorphic" | "FloatPolymorphic" | "ImagePolymorphic" | "IntegerPolymorphic" | "LatentsPolymorphic" | "StringPolymorphic" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "IPAdapterModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "enum" | "Scheduler" | "WorkflowField" | "IsIntermediate" | "MetadataField";
+    UIType: "boolean" | "ColorField" | "ConditioningField" | "ControlField" | "float" | "ImageField" | "integer" | "LatentsField" | "string" | "BooleanCollection" | "ColorCollection" | "ConditioningCollection" | "ControlCollection" | "FloatCollection" | "ImageCollection" | "IntegerCollection" | "LatentsCollection" | "StringCollection" | "BooleanPolymorphic" | "ColorPolymorphic" | "ConditioningPolymorphic" | "ControlPolymorphic" | "FloatPolymorphic" | "ImagePolymorphic" | "IntegerPolymorphic" | "LatentsPolymorphic" | "StringPolymorphic" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "IPAdapterModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "enum" | "Scheduler" | "WorkflowField" | "IsIntermediate" | "MetadataField" | "BoardField";
     /**
      * UIComponent
      * @description The type of UI component to use for a field, used to override the default components, which are     inferred from the field type.
@@ -9095,30 +9111,12 @@ export type components = {
       /** Ui Order */
       ui_order?: number;
     };
-    /**
-     * StableDiffusionOnnxModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
-    /**
-     * StableDiffusion2ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * CLIPVisionModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     CLIPVisionModelFormat: "diffusers";
-    /**
-     * StableDiffusion1ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat
      * @description An enumeration.
@@ -9131,6 +9129,24 @@ export type components = {
      * @enum {string}
      */
     IPAdapterModelFormat: "invokeai";
+    /**
+     * StableDiffusion1ModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionOnnxModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    /**
+     * StableDiffusion2ModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * ControlNetModelFormat
      * @description An enumeration.

From 88c8cb61f0d91a018fe1d66d057389ddf4437dc1 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 22 Sep 2023 12:38:09 +1000
Subject: [PATCH 254/265] feat(ui): update linear UI to use new board field on
 `save_image`

- No longer need to make network request to add image to board after it's finished - removed
- Update linear graphs & upscale graph to save image to the board
- Update autoSwitch logic so when image is generated we still switch to the right board
---
 .../socketio/socketInvocationComplete.ts      | 55 +++++++------------
 .../listeners/upscaleRequested.ts             |  5 +-
 .../util/graphBuilders/addSaveImageNode.ts    |  2 +
 .../graphBuilders/buildAdHocUpscaleGraph.ts   |  5 ++
 4 files changed, 30 insertions(+), 37 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
index b6d8acc82e..df07f84416 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
@@ -37,6 +37,7 @@ export const addInvocationCompleteEventListener = () => {
         const { image_name } = result.image;
         const { canvas, gallery } = getState();
 
+        // This populates the `getImageDTO` cache
         const imageDTO = await dispatch(
           imagesApi.endpoints.getImageDTO.initiate(image_name)
         ).unwrap();
@@ -52,54 +53,36 @@ export const addInvocationCompleteEventListener = () => {
         if (!imageDTO.is_intermediate) {
           /**
            * Cache updates for when an image result is received
-           * - *add* to getImageDTO
-           * - IF `autoAddBoardId` is set:
-           *    - THEN add it to the board_id/images
-           * - ELSE (`autoAddBoardId` is not set):
-           *    - THEN add it to the no_board/images
+           * - add it to the no_board/images
            */
 
-          const { autoAddBoardId } = gallery;
-          if (autoAddBoardId && autoAddBoardId !== 'none') {
-            dispatch(
-              imagesApi.endpoints.addImageToBoard.initiate({
-                board_id: autoAddBoardId,
-                imageDTO,
-              })
-            );
-          } else {
-            dispatch(
-              imagesApi.util.updateQueryData(
-                'listImages',
-                {
-                  board_id: 'none',
-                  categories: IMAGE_CATEGORIES,
-                },
-                (draft) => {
-                  imagesAdapter.addOne(draft, imageDTO);
-                }
-              )
-            );
-          }
+          dispatch(
+            imagesApi.util.updateQueryData(
+              'listImages',
+              {
+                board_id: imageDTO.board_id ?? 'none',
+                categories: IMAGE_CATEGORIES,
+              },
+              (draft) => {
+                imagesAdapter.addOne(draft, imageDTO);
+              }
+            )
+          );
 
           dispatch(
             imagesApi.util.invalidateTags([
-              { type: 'BoardImagesTotal', id: autoAddBoardId },
-              { type: 'BoardAssetsTotal', id: autoAddBoardId },
+              { type: 'BoardImagesTotal', id: imageDTO.board_id },
+              { type: 'BoardAssetsTotal', id: imageDTO.board_id },
             ])
           );
 
-          const { selectedBoardId, shouldAutoSwitch } = gallery;
+          const { shouldAutoSwitch } = gallery;
 
           // If auto-switch is enabled, select the new image
           if (shouldAutoSwitch) {
             // if auto-add is enabled, switch the board as the image comes in
-            if (autoAddBoardId && autoAddBoardId !== selectedBoardId) {
-              dispatch(boardIdSelected(autoAddBoardId));
-              dispatch(galleryViewChanged('images'));
-            } else if (!autoAddBoardId) {
-              dispatch(galleryViewChanged('images'));
-            }
+            dispatch(galleryViewChanged('images'));
+            dispatch(boardIdSelected(imageDTO.board_id ?? 'none'));
             dispatch(imageSelected(imageDTO));
           }
         }
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts
index 61ecc61a03..b54d8b553c 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts
@@ -18,11 +18,14 @@ export const addUpscaleRequestedListener = () => {
       const log = logger('session');
 
       const { image_name } = action.payload;
-      const { esrganModelName } = getState().postprocessing;
+      const state = getState();
+      const { esrganModelName } = state.postprocessing;
+      const { autoAddBoardId } = state.gallery;
 
       const graph = buildAdHocUpscaleGraph({
         image_name,
         esrganModelName,
+        autoAddBoardId,
       });
 
       try {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts
index 43d1a19f81..738c69faff 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts
@@ -24,12 +24,14 @@ export const addSaveImageNode = (
   const activeTabName = activeTabNameSelector(state);
   const is_intermediate =
     activeTabName === 'unifiedCanvas' ? !state.canvas.shouldAutoSave : false;
+  const { autoAddBoardId } = state.gallery;
 
   const saveImageNode: SaveImageInvocation = {
     id: SAVE_IMAGE,
     type: 'save_image',
     is_intermediate,
     use_cache: false,
+    board: autoAddBoardId === 'none' ? undefined : { board_id: autoAddBoardId },
   };
 
   graph.nodes[SAVE_IMAGE] = saveImageNode;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts
index 9c53227ead..c612e88598 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts
@@ -6,15 +6,18 @@ import {
   SaveImageInvocation,
 } from 'services/api/types';
 import { REALESRGAN as ESRGAN, SAVE_IMAGE } from './constants';
+import { BoardId } from 'features/gallery/store/types';
 
 type Arg = {
   image_name: string;
   esrganModelName: ESRGANModelName;
+  autoAddBoardId: BoardId;
 };
 
 export const buildAdHocUpscaleGraph = ({
   image_name,
   esrganModelName,
+  autoAddBoardId,
 }: Arg): Graph => {
   const realesrganNode: ESRGANInvocation = {
     id: ESRGAN,
@@ -28,6 +31,8 @@ export const buildAdHocUpscaleGraph = ({
     id: SAVE_IMAGE,
     type: 'save_image',
     use_cache: false,
+    is_intermediate: false,
+    board: autoAddBoardId === 'none' ? undefined : { board_id: autoAddBoardId },
   };
 
   const graph: NonNullableGraph = {

From 60b3c6a2011ecbcb2fd2cd07140d10d1d1cca330 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 22 Sep 2023 21:59:29 +1000
Subject: [PATCH 255/265] feat(nodes): provide board_id in image creation

---
 invokeai/app/invocations/image.py | 7 +------
 1 file changed, 1 insertion(+), 6 deletions(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 140dbe4919..0301768219 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -993,6 +993,7 @@ class SaveImageInvocation(BaseInvocation):
             image=image,
             image_origin=ResourceOrigin.INTERNAL,
             image_category=ImageCategory.GENERAL,
+            board_id=self.board.board_id if self.board else None,
             node_id=self.id,
             session_id=context.graph_execution_state_id,
             is_intermediate=self.is_intermediate,
@@ -1000,12 +1001,6 @@ class SaveImageInvocation(BaseInvocation):
             workflow=self.workflow,
         )
 
-        if self.board:
-            context.services.board_images.add_image_to_board(
-                board_id=self.board.board_id,
-                image_name=image_dto.image_name,
-            )
-
         return ImageOutput(
             image=ImageField(image_name=image_dto.image_name),
             width=image_dto.width,

From 7d683b4db6484b5a228a9d271db321adfb357679 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 22 Sep 2023 16:48:58 +1000
Subject: [PATCH 256/265] fix(nodes): do not disable invocation cache delete
 methods

When the runtime disabled flag is on, do not skip the delete methods. This could lead to a hit on a missing resource.

Do skip them when the cache size is 0, because the user cannot change this (must restart app to change it).
---
 .../services/invocation_cache/invocation_cache_memory.py    | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/invokeai/app/services/invocation_cache/invocation_cache_memory.py b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
index be1d0686e2..d56b2c3d3b 100644
--- a/invokeai/app/services/invocation_cache/invocation_cache_memory.py
+++ b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
@@ -56,14 +56,14 @@ class MemoryInvocationCache(InvocationCacheBase):
                     pass
 
     def delete(self, key: Union[int, str]) -> None:
-        if self.__max_cache_size == 0 or self.__disabled:
+        if self.__max_cache_size == 0:
             return
 
         if key in self.__cache:
             del self.__cache[key]
 
     def clear(self, *args, **kwargs) -> None:
-        if self.__max_cache_size == 0 or self.__disabled:
+        if self.__max_cache_size == 0:
             return
 
         self.__cache.clear()
@@ -94,7 +94,7 @@ class MemoryInvocationCache(InvocationCacheBase):
         )
 
     def _delete_by_match(self, to_match: str) -> None:
-        if self.__max_cache_size == 0 or self.__disabled:
+        if self.__max_cache_size == 0:
             return
 
         keys_to_delete = set()

From 7544eadd4890aa0acba06ce800622d0f28ff74cd Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 22 Sep 2023 16:49:13 +1000
Subject: [PATCH 257/265] fix(nodes): do not use double-underscores in cache
 service

---
 .../invocation_cache_memory.py                | 94 +++++++++----------
 1 file changed, 47 insertions(+), 47 deletions(-)

diff --git a/invokeai/app/services/invocation_cache/invocation_cache_memory.py b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
index d56b2c3d3b..be07029f4d 100644
--- a/invokeai/app/services/invocation_cache/invocation_cache_memory.py
+++ b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
@@ -8,97 +8,97 @@ from invokeai.app.services.invoker import Invoker
 
 
 class MemoryInvocationCache(InvocationCacheBase):
-    __cache: dict[Union[int, str], tuple[BaseInvocationOutput, str]]
-    __max_cache_size: int
-    __disabled: bool
-    __hits: int
-    __misses: int
-    __cache_ids: Queue
-    __invoker: Invoker
+    _cache: dict[Union[int, str], tuple[BaseInvocationOutput, str]]
+    _max_cache_size: int
+    _disabled: bool
+    _hits: int
+    _misses: int
+    _cache_ids: Queue
+    _invoker: Invoker
 
     def __init__(self, max_cache_size: int = 0) -> None:
-        self.__cache = dict()
-        self.__max_cache_size = max_cache_size
-        self.__disabled = False
-        self.__hits = 0
-        self.__misses = 0
-        self.__cache_ids = Queue()
+        self._cache = dict()
+        self._max_cache_size = max_cache_size
+        self._disabled = False
+        self._hits = 0
+        self._misses = 0
+        self._cache_ids = Queue()
 
     def start(self, invoker: Invoker) -> None:
-        self.__invoker = invoker
-        if self.__max_cache_size == 0:
+        self._invoker = invoker
+        if self._max_cache_size == 0:
             return
-        self.__invoker.services.images.on_deleted(self._delete_by_match)
-        self.__invoker.services.latents.on_deleted(self._delete_by_match)
+        self._invoker.services.images.on_deleted(self._delete_by_match)
+        self._invoker.services.latents.on_deleted(self._delete_by_match)
 
     def get(self, key: Union[int, str]) -> Optional[BaseInvocationOutput]:
-        if self.__max_cache_size == 0 or self.__disabled:
+        if self._max_cache_size == 0 or self._disabled:
             return
 
-        item = self.__cache.get(key, None)
+        item = self._cache.get(key, None)
         if item is not None:
-            self.__hits += 1
+            self._hits += 1
             return item[0]
-        self.__misses += 1
+        self._misses += 1
 
     def save(self, key: Union[int, str], invocation_output: BaseInvocationOutput) -> None:
-        if self.__max_cache_size == 0 or self.__disabled:
+        if self._max_cache_size == 0 or self._disabled:
             return
 
-        if key not in self.__cache:
-            self.__cache[key] = (invocation_output, invocation_output.json())
-            self.__cache_ids.put(key)
-            if self.__cache_ids.qsize() > self.__max_cache_size:
+        if key not in self._cache:
+            self._cache[key] = (invocation_output, invocation_output.json())
+            self._cache_ids.put(key)
+            if self._cache_ids.qsize() > self._max_cache_size:
                 try:
-                    self.__cache.pop(self.__cache_ids.get())
+                    self._cache.pop(self._cache_ids.get())
                 except KeyError:
                     # this means the cache_ids are somehow out of sync w/ the cache
                     pass
 
     def delete(self, key: Union[int, str]) -> None:
-        if self.__max_cache_size == 0:
+        if self._max_cache_size == 0:
             return
 
-        if key in self.__cache:
-            del self.__cache[key]
+        if key in self._cache:
+            del self._cache[key]
 
     def clear(self, *args, **kwargs) -> None:
-        if self.__max_cache_size == 0:
+        if self._max_cache_size == 0:
             return
 
-        self.__cache.clear()
-        self.__cache_ids = Queue()
-        self.__misses = 0
-        self.__hits = 0
+        self._cache.clear()
+        self._cache_ids = Queue()
+        self._misses = 0
+        self._hits = 0
 
     def create_key(self, invocation: BaseInvocation) -> int:
         return hash(invocation.json(exclude={"id"}))
 
     def disable(self) -> None:
-        if self.__max_cache_size == 0:
+        if self._max_cache_size == 0:
             return
-        self.__disabled = True
+        self._disabled = True
 
     def enable(self) -> None:
-        if self.__max_cache_size == 0:
+        if self._max_cache_size == 0:
             return
-        self.__disabled = False
+        self._disabled = False
 
     def get_status(self) -> InvocationCacheStatus:
         return InvocationCacheStatus(
-            hits=self.__hits,
-            misses=self.__misses,
-            enabled=not self.__disabled and self.__max_cache_size > 0,
-            size=len(self.__cache),
-            max_size=self.__max_cache_size,
+            hits=self._hits,
+            misses=self._misses,
+            enabled=not self._disabled and self._max_cache_size > 0,
+            size=len(self._cache),
+            max_size=self._max_cache_size,
         )
 
     def _delete_by_match(self, to_match: str) -> None:
-        if self.__max_cache_size == 0:
+        if self._max_cache_size == 0:
             return
 
         keys_to_delete = set()
-        for key, value_tuple in self.__cache.items():
+        for key, value_tuple in self._cache.items():
             if to_match in value_tuple[1]:
                 keys_to_delete.add(key)
 
@@ -108,4 +108,4 @@ class MemoryInvocationCache(InvocationCacheBase):
         for key in keys_to_delete:
             self.delete(key)
 
-        self.__invoker.services.logger.debug(f"Deleted {len(keys_to_delete)} cached invocation outputs for {to_match}")
+        self._invoker.services.logger.debug(f"Deleted {len(keys_to_delete)} cached invocation outputs for {to_match}")

From cc280cbef164b12ea504429ee4684730108fcc90 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 22 Sep 2023 21:04:35 +1000
Subject: [PATCH 258/265] feat(ui): refactor informational popover

- Change translations to use arrays of paragraphs instead of a single paragraph.
- Change component to accept a `feature` prop to identify the feature which the popover describes.
- Add optional `wrapperProps`: passed to the wrapper element, allowing more flexibility when using the popover
- Add optional `popoverProps`: passed to the `<Popover />` component, allowing for overriding individual instances of the popover's props
- Move definitions of features and popover settings to `invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts`
  - Add some type safety to the `feature` prop
  - Edit `POPOVER_DATA` to provide `image`, `href`, `buttonLabel`, and any popover props. The popover props are applied to all instances of the popover for the given feature. Note that the component prop `popoverProps` will override settings here.
- Remove the popover's arrow. Because the popover is wrapping groups of components, sometimes the error ends up pointing to nothing, which looks kinda janky. I've just removed the arrow entirely, but feel free to add it back if you think it looks better.
- Use a `link` variant button with external link icon to better communicate that clicking the button will open a new tab.
- Default the link button label to "Learn More" (if a label is provided, that will be used instead)
- Make default position `top`, but set manually set some to `right` - namely, anything with a dropdown. This prevents the popovers from obscuring or being obscured by the dropdowns.
- Do a bit more restructuring of the Popover component itself, and how it is integrated with other components
- More ref forwarding
- Make the open delay 1s
- Set the popovers to use lazy mounting (eg do not mount until the user opens the thing)
- Update the verbiage for many popover items and add missing dynamic prompts stuff
---
 invokeai/frontend/web/public/locales/en.json  | 283 +++++++++++-------
 .../components/IAIInformationalPopover.tsx    | 124 --------
 .../IAIInformationalPopover.tsx               | 155 ++++++++++
 .../IAIInformationalPopover/constants.ts      |  98 ++++++
 .../components/IAIMantineMultiSelect.tsx      |  30 +-
 .../components/IAIMantineSearchableSelect.tsx |  37 ++-
 .../common/components/IAIMantineSelect.tsx    |  17 +-
 .../parameters/ParamControlNetBeginEnd.tsx    |   4 +-
 .../parameters/ParamControlNetControlMode.tsx |   4 +-
 .../ParamControlNetFeatureToggle.tsx          |   4 +-
 .../parameters/ParamControlNetResizeMode.tsx  |   4 +-
 .../parameters/ParamControlNetWeight.tsx      |   4 +-
 .../ParamDynamicPromptsCollapse.tsx           |   2 +-
 .../ParamDynamicPromptsCombinatorial.tsx      |  15 +-
 .../ParamDynamicPromptsMaxPrompts.tsx         |  29 +-
 .../components/ParamDynamicPromptsPreview.tsx | 112 ++++---
 .../ParamDynamicPromptsSeedBehaviour.tsx      |  17 +-
 .../features/lora/components/ParamLora.tsx    |   4 +-
 .../Parameters/Advanced/ParamClipSkip.tsx     |   4 +-
 .../BoundingBox/ParamBoundingBoxSize.tsx      |  63 ++--
 .../ParamCanvasCoherenceMode.tsx              |   4 +-
 .../ParamCanvasCoherenceSteps.tsx             |   4 +-
 .../ParamCanvasCoherenceStrength.tsx          |   4 +-
 .../MaskAdjustment/ParamMaskBlur.tsx          |   4 +-
 .../MaskAdjustment/ParamMaskBlurMethod.tsx    |   4 +-
 .../ParamCompositingSettingsCollapse.tsx      |  10 +-
 .../InfillAndScaling/ParamInfillMethod.tsx    |   4 +-
 .../ParamScaleBeforeProcessing.tsx            |   4 +-
 .../Parameters/Core/ParamAspectRatio.tsx      |  40 ++-
 .../Parameters/Core/ParamCFGScale.tsx         |   6 +-
 .../Parameters/Core/ParamIterations.tsx       |   6 +-
 .../Core/ParamNegativeConditioning.tsx        |  48 +--
 .../Core/ParamPositiveConditioning.tsx        |  26 +-
 .../Parameters/Core/ParamScheduler.tsx        |   4 +-
 .../components/Parameters/Core/ParamSize.tsx  |  76 ++---
 .../components/Parameters/Core/ParamSteps.tsx |   6 +-
 .../ImageToImage/ImageToImageStrength.tsx     |  10 +-
 .../MainModel/ParamMainModelSelect.tsx        |   6 +-
 .../Parameters/Noise/ParamCpuNoise.tsx        |   4 +-
 .../Parameters/Seed/ParamSeedFull.tsx         |   4 +-
 .../Parameters/SubParametersWrapper.tsx       |  56 ++--
 .../VAEModel/ParamVAEModelSelect.tsx          |   4 +-
 .../Parameters/VAEModel/ParamVAEPrecision.tsx |   4 +-
 .../ParamSDXLImg2ImgDenoisingStrength.tsx     |  10 +-
 .../web/src/theme/components/popover.ts       |   7 +-
 invokeai/frontend/web/src/theme/theme.ts      |   1 +
 46 files changed, 765 insertions(+), 601 deletions(-)
 delete mode 100644 invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
 create mode 100644 invokeai/frontend/web/src/common/components/IAIInformationalPopover/IAIInformationalPopover.tsx
 create mode 100644 invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index a2c228c8a1..4e6b71e6f4 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -81,6 +81,7 @@
         "load": "Load",
         "loading": "Loading",
         "loadingInvokeAI": "Loading Invoke AI",
+        "learnMore": "Learn More",
         "modelManager": "Model Manager",
         "nodeEditor": "Node Editor",
         "nodes": "Workflow Editor",
@@ -890,7 +891,7 @@
         "zoomOutNodes": "Zoom Out"
     },
     "parameters": {
-        "aspectRatio": "Ratio",
+        "aspectRatio": "Aspect Ratio",
         "boundingBoxHeader": "Bounding Box",
         "boundingBoxHeight": "Bounding Box Height",
         "boundingBoxWidth": "Bounding Box Width",
@@ -1022,8 +1023,8 @@
             "label": "Seed Behaviour",
             "perIterationLabel": "Seed per Iteration",
             "perIterationDesc": "Use a different seed for each iteration",
-            "perPromptLabel": "Seed per Prompt",
-            "perPromptDesc": "Use a different seed for each prompt"
+            "perPromptLabel": "Seed per Image",
+            "perPromptDesc": "Use a different seed for each image"
         }
     },
     "sdxl": {
@@ -1175,131 +1176,205 @@
     "popovers": {
         "clipSkip": {
             "heading": "CLIP Skip",
-            "paragraph": "Choose how many layers of the CLIP model to skip. Certain models are better suited to be used with CLIP Skip."
-        },
-        "compositingBlur": {
-            "heading": "Blur",
-            "paragraph": "The blur radius of the mask."
-        },
-        "compositingBlurMethod": {
-            "heading": "Blur Method",
-            "paragraph": "The method of blur applied to the masked area."
-        },
-        "compositingCoherencePass": {
-            "heading": "Coherence Pass",
-            "paragraph": "Composite the Inpainted/Outpainted images."
-        },
-        "compositingCoherenceMode": {
-            "heading": "Mode",
-            "paragraph": "The mode of the Coherence Pass."
-        },
-        "compositingCoherenceSteps": {
-            "heading": "Steps",
-            "paragraph": "Number of steps in the Coherence Pass. Similar to Denoising Steps."
-        },
-        "compositingStrength": {
-            "heading": "Strength",
-            "paragraph": "Amount of noise added for the Coherence Pass. Similar to Denoising Strength."
-        },
-        "compositingMaskAdjustments": {
-            "heading": "Mask Adjustments",
-            "paragraph": "Adjust the mask."
-        },
-        "controlNetBeginEnd": {
-            "heading": "Begin / End Step Percentage",
-            "paragraph": "Which parts of the denoising process will have the ControlNet applied. ControlNets applied at the start of the process guide composition, and ControlNets applied at the end guide details."
-        },
-        "controlNetControlMode": {
-            "heading": "Control Mode",
-            "paragraph": "Lends more weight to either the prompt or ControlNet."
-        },
-        "controlNetResizeMode": {
-            "heading": "Resize Mode",
-            "paragraph": "How the ControlNet image will be fit to the image generation Ratio"
-        },
-        "controlNetToggle": {
-            "heading": "Enable ControlNet",
-            "paragraph": "ControlNets provide guidance to the generation process, helping create images with controlled composition, structure, or style, depending on the model selected."
-        },
-        "controlNetWeight": {
-            "heading": "Weight",
-            "paragraph": "How strongly the ControlNet will impact the generated image."
-        },
-        "dynamicPromptsToggle": {
-            "heading": "Enable Dynamic Prompts",
-            "paragraph": "Dynamic prompts allow multiple options within a prompt. Dynamic prompts can be used by: {option1|option2|option3}. Combinations of prompts will be randomly generated until the “Images” number has been reached."
-        },
-        "dynamicPromptsCombinatorial": {
-            "heading": "Combinatorial Generation",
-            "paragraph": "Generate an image for every possible combination of Dynamic Prompts until the Max Prompts is reached."
-        },
-        "infillMethod": {
-            "heading": "Infill Method",
-            "paragraph": "Method to infill the selected area."
-        },
-        "lora": {
-            "heading": "LoRA Weight",
-            "paragraph": "Weight of the LoRA. Higher weight will lead to larger impacts on the final image."
-        },
-        "noiseEnable": {
-            "heading": "Enable Noise Settings",
-            "paragraph": "Advanced control over noise generation."
-        },
-        "noiseUseCPU": {
-            "heading": "Use CPU Noise",
-            "paragraph": "Uses the CPU to generate random noise."
-        },
-        "paramCFGScale": {
-            "heading": "CFG Scale",
-            "paragraph": "Controls how much your prompt influences the generation process."
-        },
-        "paramDenoisingStrength": {
-            "heading": "Denoising Strength",
-            "paragraph": "How much noise is added to the input image. 0 will result in an identical image, while 1 will result in a completely new image."
-        },
-        "paramIterations": {
-            "heading": "Iterations",
-            "paragraph": "The number of images to generate. If Dynamic Prompts is enabled, each of the prompts will be generated this many times."
-        },
-        "paramModel": {
-            "heading": "Model",
-            "paragraph": "Model used for the denoising steps. Different models are trained to specialize in producing different aesthetic results and content."
+            "paragraphs": [
+                "Choose how many layers of the CLIP model to skip.",
+                "Some models work better with certain CLIP Skip settings.",
+                "A higher value typically results in a less detailed image."
+            ]
         },
         "paramNegativeConditioning": {
             "heading": "Negative Prompt",
-            "paragraph": "The generation process avoids the concepts in the negative prompt. Use this to exclude qualities or objects from the output. Supports Compel syntax and embeddings."
+            "paragraphs": [
+                "The generation process avoids the concepts in the negative prompt. Use this to exclude qualities or objects from the output.",
+                "Supports Compel syntax and embeddings."
+            ]
         },
         "paramPositiveConditioning": {
             "heading": "Positive Prompt",
-            "paragraph": "Guides the generation process. You may use any words or phrases. Supports Compel and Dynamic Prompts syntaxes and embeddings."
-        },
-        "paramRatio": {
-            "heading": "Ratio",
-            "paragraph": "The ratio of the dimensions of the image generated. An image size (in number of pixels) equivalent to 512x512 is recommended for SD1.5 models and a size equivalent to 1024x1024 is recommended for SDXL models."
+            "paragraphs": [
+                "Guides the generation process. You may use any words or phrases.",
+                "Compel and Dynamic Prompts syntaxes and embeddings."
+            ]
         },
         "paramScheduler": {
             "heading": "Scheduler",
-            "paragraph": "Scheduler defines how to iteratively add noise to an image or how to update a sample based on a model's output."
+            "paragraphs": [
+                "Scheduler defines how to iteratively add noise to an image or how to update a sample based on a model's output."
+            ]
+        },
+        "compositingBlur": {
+            "heading": "Blur",
+            "paragraphs": ["The blur radius of the mask."]
+        },
+        "compositingBlurMethod": {
+            "heading": "Blur Method",
+            "paragraphs": ["The method of blur applied to the masked area."]
+        },
+        "compositingCoherencePass": {
+            "heading": "Coherence Pass",
+            "paragraphs": [
+                "A second round of denoising helps to composite the Inpainted/Outpainted image."
+            ]
+        },
+        "compositingCoherenceMode": {
+            "heading": "Mode",
+            "paragraphs": ["The mode of the Coherence Pass."]
+        },
+        "compositingCoherenceSteps": {
+            "heading": "Steps",
+            "paragraphs": [
+                "Number of denoising steps used in the Coherence Pass.",
+                "Same as the main Steps parameter."
+            ]
+        },
+        "compositingStrength": {
+            "heading": "Strength",
+            "paragraphs": [
+                "Denoising strength for the Coherence Pass.",
+                "Same as the Image to Image Denoising Strength parameter."
+            ]
+        },
+        "compositingMaskAdjustments": {
+            "heading": "Mask Adjustments",
+            "paragraphs": ["Adjust the mask."]
+        },
+        "controlNetBeginEnd": {
+            "heading": "Begin / End Step Percentage",
+            "paragraphs": [
+                "Which steps of the denoising process will have the ControlNet applied.",
+                "ControlNets applied at the beginning of the process guide composition, and ControlNets applied at the end guide details."
+            ]
+        },
+        "controlNetControlMode": {
+            "heading": "Control Mode",
+            "paragraphs": [
+                "Lends more weight to either the prompt or ControlNet."
+            ]
+        },
+        "controlNetResizeMode": {
+            "heading": "Resize Mode",
+            "paragraphs": [
+                "How the ControlNet image will be fit to the image output size."
+            ]
+        },
+        "controlNet": {
+            "heading": "ControlNet",
+            "paragraphs": [
+                "ControlNets provide guidance to the generation process, helping create images with controlled composition, structure, or style, depending on the model selected."
+            ]
+        },
+        "controlNetWeight": {
+            "heading": "Weight",
+            "paragraphs": [
+                "How strongly the ControlNet will impact the generated image."
+            ]
+        },
+        "dynamicPrompts": {
+            "heading": "Dynamic Prompts",
+            "paragraphs": [
+                "Dynamic Prompts parses a single prompt into many.",
+                "The basic syntax is \"a {red|green|blue} ball\". This will produce three prompts: \"a red ball\", \"a green ball\" and \"a blue ball\".",
+                "You can use the syntax as many times as you like in a single prompt, but be sure to keep the number of prompts generated in check with the Max Prompts setting."
+            ]
+        },
+        "dynamicPromptsMaxPrompts": {
+            "heading": "Max Prompts",
+            "paragraphs": [
+                "Limits the number of prompts that can be generated by Dynamic Prompts."
+            ]
+        },
+        "dynamicPromptsSeedBehaviour": {
+            "heading": "Seed Behaviour",
+            "paragraphs": [
+                "Controls how the seed is used when generating prompts.",
+                "Per Iteration will use a unique seed for each iteration. Use this to explore prompt variations on a single seed.",
+                "For example, if you have 5 prompts, each image will use the same seed.",
+                "Per Image will use a unique seed for each image. This provides more variation."
+            ]
+        },
+        "infillMethod": {
+            "heading": "Infill Method",
+            "paragraphs": ["Method to infill the selected area."]
+        },
+        "lora": {
+            "heading": "LoRA Weight",
+            "paragraphs": [
+                "Higher LoRA weight will lead to larger impacts on the final image."
+            ]
+        },
+        "noiseUseCPU": {
+            "heading": "Use CPU Noise",
+            "paragraphs": [
+                "Controls whether noise is generated on the CPU or GPU.",
+                "With CPU Noise enabled, a particular seed will produce the same image on any machine.",
+                "There is no performance impact to enabling CPU Noise."
+            ]
+        },
+        "paramCFGScale": {
+            "heading": "CFG Scale",
+            "paragraphs": [
+                "Controls how much your prompt influences the generation process."
+            ]
+        },
+        "paramDenoisingStrength": {
+            "heading": "Denoising Strength",
+            "paragraphs": [
+                "How much noise is added to the input image.",
+                "0 will result in an identical image, while 1 will result in a completely new image."
+            ]
+        },
+        "paramIterations": {
+            "heading": "Iterations",
+            "paragraphs": [
+                "The number of images to generate.",
+                "If Dynamic Prompts is enabled, each of the prompts will be generated this many times."
+            ]
+        },
+        "paramModel": {
+            "heading": "Model",
+            "paragraphs": [
+                "Model used for the denoising steps.",
+                "Different models are typically trained to specialize in producing particular aesthetic results and content."
+            ]
+        },
+        "paramRatio": {
+            "heading": "Aspect Ratio",
+            "paragraphs": [
+                "The aspect ratio of the dimensions of the image generated.",
+                "An image size (in number of pixels) equivalent to 512x512 is recommended for SD1.5 models and a size equivalent to 1024x1024 is recommended for SDXL models."
+            ]
         },
         "paramSeed": {
             "heading": "Seed",
-            "paragraph": "Controls the starting noise used for generation. Disable “Random Seed” to produce identical results with the same generation settings."
+            "paragraphs": [
+                "Controls the starting noise used for generation.",
+                "Disable “Random Seed” to produce identical results with the same generation settings."
+            ]
         },
         "paramSteps": {
             "heading": "Steps",
-            "paragraph": "Number of steps that will be performed in each generation. Higher step counts will typically create better images but will require more generation time."
+            "paragraphs": [
+                "Number of steps that will be performed in each generation.",
+                "Higher step counts will typically create better images but will require more generation time."
+            ]
         },
         "paramVAE": {
             "heading": "VAE",
-            "paragraph": "Model used for translating AI output into the final image."
+            "paragraphs": [
+                "Model used for translating AI output into the final image."
+            ]
         },
         "paramVAEPrecision": {
             "heading": "VAE Precision",
-            "paragraph": "The precision used during VAE encoding and decoding. Fp16/Half precision is more efficient, at the expense of minor image variations."
+            "paragraphs": [
+                "The precision used during VAE encoding and decoding. FP16/half precision is more efficient, at the expense of minor image variations."
+            ]
         },
         "scaleBeforeProcessing": {
             "heading": "Scale Before Processing",
-            "paragraph": "Scales the selected area to the size best suited for the model before the image generation process."
+            "paragraphs": [
+                "Scales the selected area to the size best suited for the model before the image generation process."
+            ]
         }
     },
     "ui": {
diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
deleted file mode 100644
index 4a9dd82665..0000000000
--- a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx
+++ /dev/null
@@ -1,124 +0,0 @@
-import {
-  Box,
-  Button,
-  Divider,
-  Flex,
-  Heading,
-  Image,
-  Popover,
-  PopoverArrow,
-  PopoverBody,
-  PopoverCloseButton,
-  PopoverContent,
-  PopoverProps,
-  PopoverTrigger,
-  Portal,
-  Text,
-} from '@chakra-ui/react';
-import { ReactNode, memo } from 'react';
-import { useTranslation } from 'react-i18next';
-import { useAppSelector } from '../../app/store/storeHooks';
-
-const OPEN_DELAY = 1500;
-
-type Props = Omit<PopoverProps, 'children'> & {
-  details: string;
-  children: ReactNode;
-  image?: string;
-  buttonLabel?: string;
-  buttonHref?: string;
-  placement?: PopoverProps['placement'];
-};
-
-const IAIInformationalPopover = ({
-  details,
-  image,
-  buttonLabel,
-  buttonHref,
-  children,
-  placement,
-}: Props) => {
-  const shouldEnableInformationalPopovers = useAppSelector(
-    (state) => state.system.shouldEnableInformationalPopovers
-  );
-  const { t } = useTranslation();
-
-  const heading = t(`popovers.${details}.heading`);
-  const paragraph = t(`popovers.${details}.paragraph`);
-
-  if (!shouldEnableInformationalPopovers) {
-    return <>{children}</>;
-  }
-
-  return (
-    <Popover
-      placement={placement || 'top'}
-      closeOnBlur={false}
-      trigger="hover"
-      variant="informational"
-      openDelay={OPEN_DELAY}
-    >
-      <PopoverTrigger>
-        <Box w="full">{children}</Box>
-      </PopoverTrigger>
-      <Portal>
-        <PopoverContent>
-          <PopoverArrow />
-          <PopoverCloseButton />
-
-          <PopoverBody>
-            <Flex
-              sx={{
-                gap: 3,
-                flexDirection: 'column',
-                width: '100%',
-                alignItems: 'center',
-              }}
-            >
-              {image && (
-                <Image
-                  sx={{
-                    objectFit: 'contain',
-                    maxW: '60%',
-                    maxH: '60%',
-                    backgroundColor: 'white',
-                  }}
-                  src={image}
-                  alt="Optional Image"
-                />
-              )}
-              <Flex
-                sx={{
-                  gap: 3,
-                  flexDirection: 'column',
-                  width: '100%',
-                }}
-              >
-                {heading && (
-                  <>
-                    <Heading size="sm">{heading}</Heading>
-                    <Divider />
-                  </>
-                )}
-                <Text>{paragraph}</Text>
-                {buttonLabel && (
-                  <Flex justifyContent="flex-end">
-                    <Button
-                      onClick={() => window.open(buttonHref)}
-                      size="sm"
-                      variant="invokeAIOutline"
-                    >
-                      {buttonLabel}
-                    </Button>
-                  </Flex>
-                )}
-              </Flex>
-            </Flex>
-          </PopoverBody>
-        </PopoverContent>
-      </Portal>
-    </Popover>
-  );
-};
-
-export default memo(IAIInformationalPopover);
diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover/IAIInformationalPopover.tsx
new file mode 100644
index 0000000000..b58f8fc565
--- /dev/null
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover/IAIInformationalPopover.tsx
@@ -0,0 +1,155 @@
+import {
+  Box,
+  BoxProps,
+  Button,
+  Divider,
+  Flex,
+  Heading,
+  Image,
+  Popover,
+  PopoverBody,
+  PopoverCloseButton,
+  PopoverContent,
+  PopoverProps,
+  PopoverTrigger,
+  Portal,
+  Text,
+  forwardRef,
+} from '@chakra-ui/react';
+import { merge, omit } from 'lodash-es';
+import { PropsWithChildren, memo, useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaExternalLinkAlt } from 'react-icons/fa';
+import { useAppSelector } from '../../../app/store/storeHooks';
+import {
+  Feature,
+  OPEN_DELAY,
+  POPOVER_DATA,
+  POPPER_MODIFIERS,
+} from './constants';
+
+type Props = PropsWithChildren & {
+  feature: Feature;
+  wrapperProps?: BoxProps;
+  popoverProps?: PopoverProps;
+};
+
+const IAIInformationalPopover = forwardRef(
+  ({ feature, children, wrapperProps, ...rest }: Props, ref) => {
+    const { t } = useTranslation();
+    const shouldEnableInformationalPopovers = useAppSelector(
+      (state) => state.system.shouldEnableInformationalPopovers
+    );
+
+    const data = useMemo(() => POPOVER_DATA[feature], [feature]);
+
+    const popoverProps = useMemo(
+      () => merge(omit(data, ['image', 'href', 'buttonLabel']), rest),
+      [data, rest]
+    );
+
+    const heading = useMemo<string | undefined>(
+      () => t(`popovers.${feature}.heading`),
+      [feature, t]
+    );
+
+    const paragraphs = useMemo<string[]>(
+      () =>
+        t(`popovers.${feature}.paragraphs`, {
+          returnObjects: true,
+        }) ?? [],
+      [feature, t]
+    );
+
+    const handleClick = useCallback(() => {
+      if (!data?.href) {
+        return;
+      }
+      window.open(data.href);
+    }, [data?.href]);
+
+    if (!shouldEnableInformationalPopovers) {
+      return (
+        <Box ref={ref} w="full" {...wrapperProps}>
+          {children}
+        </Box>
+      );
+    }
+
+    return (
+      <Popover
+        isLazy
+        closeOnBlur={false}
+        trigger="hover"
+        variant="informational"
+        openDelay={OPEN_DELAY}
+        modifiers={POPPER_MODIFIERS}
+        placement="top"
+        {...popoverProps}
+      >
+        <PopoverTrigger>
+          <Box ref={ref} w="full" {...wrapperProps}>
+            {children}
+          </Box>
+        </PopoverTrigger>
+        <Portal>
+          <PopoverContent w={96}>
+            <PopoverCloseButton />
+            <PopoverBody>
+              <Flex
+                sx={{
+                  gap: 2,
+                  flexDirection: 'column',
+                  alignItems: 'flex-start',
+                }}
+              >
+                {heading && (
+                  <>
+                    <Heading size="sm">{heading}</Heading>
+                    <Divider />
+                  </>
+                )}
+                {data?.image && (
+                  <>
+                    <Image
+                      sx={{
+                        objectFit: 'contain',
+                        maxW: '60%',
+                        maxH: '60%',
+                        backgroundColor: 'white',
+                      }}
+                      src={data.image}
+                      alt="Optional Image"
+                    />
+                    <Divider />
+                  </>
+                )}
+                {paragraphs.map((p) => (
+                  <Text key={p}>{p}</Text>
+                ))}
+                {data?.href && (
+                  <>
+                    <Divider />
+                    <Button
+                      pt={1}
+                      onClick={handleClick}
+                      leftIcon={<FaExternalLinkAlt />}
+                      alignSelf="flex-end"
+                      variant="link"
+                    >
+                      {t('common.learnMore') ?? heading}
+                    </Button>
+                  </>
+                )}
+              </Flex>
+            </PopoverBody>
+          </PopoverContent>
+        </Portal>
+      </Popover>
+    );
+  }
+);
+
+IAIInformationalPopover.displayName = 'IAIInformationalPopover';
+
+export default memo(IAIInformationalPopover);
diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts b/invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts
new file mode 100644
index 0000000000..f2398483bf
--- /dev/null
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts
@@ -0,0 +1,98 @@
+import { PopoverProps } from '@chakra-ui/react';
+
+export type Feature =
+  | 'clipSkip'
+  | 'paramNegativeConditioning'
+  | 'paramPositiveConditioning'
+  | 'paramScheduler'
+  | 'compositingBlur'
+  | 'compositingBlurMethod'
+  | 'compositingCoherencePass'
+  | 'compositingCoherenceMode'
+  | 'compositingCoherenceSteps'
+  | 'compositingStrength'
+  | 'compositingMaskAdjustments'
+  | 'controlNetBeginEnd'
+  | 'controlNetControlMode'
+  | 'controlNetResizeMode'
+  | 'controlNet'
+  | 'controlNetWeight'
+  | 'dynamicPrompts'
+  | 'dynamicPromptsMaxPrompts'
+  | 'dynamicPromptsSeedBehaviour'
+  | 'infillMethod'
+  | 'lora'
+  | 'noiseUseCPU'
+  | 'paramCFGScale'
+  | 'paramDenoisingStrength'
+  | 'paramIterations'
+  | 'paramModel'
+  | 'paramRatio'
+  | 'paramSeed'
+  | 'paramSteps'
+  | 'paramVAE'
+  | 'paramVAEPrecision'
+  | 'scaleBeforeProcessing';
+
+export type PopoverData = PopoverProps & {
+  image?: string;
+  href?: string;
+  buttonLabel?: string;
+};
+
+export const POPOVER_DATA: { [key in Feature]?: PopoverData } = {
+  paramNegativeConditioning: {
+    placement: 'right',
+  },
+  controlNet: {
+    href: 'https://support.invoke.ai/support/solutions/articles/151000105880',
+  },
+  lora: {
+    href: 'https://support.invoke.ai/support/solutions/articles/151000159072',
+  },
+  compositingCoherenceMode: {
+    href: 'https://support.invoke.ai/support/solutions/articles/151000158838',
+  },
+  infillMethod: {
+    href: 'https://support.invoke.ai/support/solutions/articles/151000158841',
+  },
+  scaleBeforeProcessing: {
+    href: 'https://support.invoke.ai/support/solutions/articles/151000158841',
+  },
+  paramIterations: {
+    href: 'https://support.invoke.ai/support/solutions/articles/151000159073',
+  },
+  paramPositiveConditioning: {
+    href: 'https://support.invoke.ai/support/solutions/articles/151000096606-tips-on-crafting-prompts',
+    placement: 'right',
+  },
+  paramScheduler: {
+    placement: 'right',
+    href: 'https://support.invoke.ai/support/solutions/articles/151000159073',
+  },
+  paramModel: {
+    placement: 'right',
+    href: 'https://support.invoke.ai/support/solutions/articles/151000096601-what-is-a-model-which-should-i-use-',
+  },
+  paramRatio: {
+    gutter: 16,
+  },
+  controlNetControlMode: {
+    placement: 'right',
+  },
+  controlNetResizeMode: {
+    placement: 'right',
+  },
+  paramVAE: {
+    placement: 'right',
+  },
+  paramVAEPrecision: {
+    placement: 'right',
+  },
+} as const;
+
+export const OPEN_DELAY = 1000; // in milliseconds
+
+export const POPPER_MODIFIERS: PopoverProps['modifiers'] = [
+  { name: 'preventOverflow', options: { padding: 10 } },
+];
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx
index 07a7ada88d..669fdb5788 100644
--- a/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx
@@ -44,23 +44,19 @@ const IAIMantineMultiSelect = forwardRef((props: IAIMultiSelectProps, ref) => {
 
   return (
     <Tooltip label={tooltip} placement="top" hasArrow isOpen={true}>
-      <MultiSelect
-        label={
-          label ? (
-            <FormControl ref={ref} isDisabled={disabled}>
-              <FormLabel>{label}</FormLabel>
-            </FormControl>
-          ) : undefined
-        }
-        ref={inputRef}
-        disabled={disabled}
-        onKeyDown={handleKeyDown}
-        onKeyUp={handleKeyUp}
-        searchable={searchable}
-        maxDropdownHeight={300}
-        styles={styles}
-        {...rest}
-      />
+      <FormControl ref={ref} isDisabled={disabled}>
+        {label && <FormLabel>{label}</FormLabel>}
+        <MultiSelect
+          ref={inputRef}
+          disabled={disabled}
+          onKeyDown={handleKeyDown}
+          onKeyUp={handleKeyUp}
+          searchable={searchable}
+          maxDropdownHeight={300}
+          styles={styles}
+          {...rest}
+        />
+      </FormControl>
     </Tooltip>
   );
 });
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
index 1ed8490848..f0bc52ab63 100644
--- a/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
@@ -70,26 +70,23 @@ const IAIMantineSearchableSelect = forwardRef((props: IAISelectProps, ref) => {
 
   return (
     <Tooltip label={tooltip} placement="top" hasArrow>
-      <Select
-        ref={inputRef}
-        label={
-          label ? (
-            <FormControl ref={ref} isDisabled={disabled}>
-              <FormLabel>{label}</FormLabel>
-            </FormControl>
-          ) : undefined
-        }
-        disabled={disabled}
-        searchValue={searchValue}
-        onSearchChange={setSearchValue}
-        onChange={handleChange}
-        onKeyDown={handleKeyDown}
-        onKeyUp={handleKeyUp}
-        searchable={searchable}
-        maxDropdownHeight={300}
-        styles={styles}
-        {...rest}
-      />
+      <FormControl ref={ref} isDisabled={disabled}>
+        {label && <FormLabel>{label}</FormLabel>}
+        <Select
+          ref={inputRef}
+          withinPortal
+          disabled={disabled}
+          searchValue={searchValue}
+          onSearchChange={setSearchValue}
+          onChange={handleChange}
+          onKeyDown={handleKeyDown}
+          onKeyUp={handleKeyUp}
+          searchable={searchable}
+          maxDropdownHeight={300}
+          styles={styles}
+          {...rest}
+        />
+      </FormControl>
     </Tooltip>
   );
 });
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx
index 19c116bfd5..f0d64f43c9 100644
--- a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx
@@ -22,19 +22,10 @@ const IAIMantineSelect = forwardRef((props: IAISelectProps, ref) => {
 
   return (
     <Tooltip label={tooltip} placement="top" hasArrow>
-      <Select
-        label={
-          label ? (
-            <FormControl ref={ref} isRequired={required} isDisabled={disabled}>
-              <FormLabel>{label}</FormLabel>
-            </FormControl>
-          ) : undefined
-        }
-        disabled={disabled}
-        ref={inputRef}
-        styles={styles}
-        {...rest}
-      />
+      <FormControl ref={ref} isRequired={required} isDisabled={disabled}>
+        <FormLabel>{label}</FormLabel>
+        <Select disabled={disabled} ref={inputRef} styles={styles} {...rest} />
+      </FormControl>
     </Tooltip>
   );
 });
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
index fb43c3553d..4a303a1801 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
@@ -10,7 +10,7 @@ import {
   Tooltip,
 } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import {
   ControlNetConfig,
   controlNetBeginStepPctChanged,
@@ -50,7 +50,7 @@ const ParamControlNetBeginEnd = (props: Props) => {
   );
 
   return (
-    <IAIInformationalPopover details="controlNetBeginEnd">
+    <IAIInformationalPopover feature="controlNetBeginEnd">
       <FormControl isDisabled={!isEnabled}>
         <FormLabel>{t('controlnet.beginEndStepPercent')}</FormLabel>
         <HStack w="100%" gap={2} alignItems="center">
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
index 9b17c2bfb2..19da346fc3 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
@@ -1,5 +1,5 @@
 import { useAppDispatch } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import {
   ControlModes,
@@ -35,7 +35,7 @@ export default function ParamControlNetControlMode(
   );
 
   return (
-    <IAIInformationalPopover details="controlNetControlMode">
+    <IAIInformationalPopover feature="controlNetControlMode">
       <IAIMantineSelect
         disabled={!isEnabled}
         label={t('controlnet.controlMode')}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
index 34f805de54..d13c29f500 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx
@@ -3,7 +3,7 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAISwitch from 'common/components/IAISwitch';
 import { isControlNetEnabledToggled } from 'features/controlNet/store/controlNetSlice';
 import { memo, useCallback } from 'react';
@@ -28,7 +28,7 @@ const ParamControlNetFeatureToggle = () => {
 
   return (
     <Box width="100%">
-      <IAIInformationalPopover details="controlNetToggle">
+      <IAIInformationalPopover feature="controlNet">
         <IAISwitch
           label="Enable ControlNet"
           isChecked={isEnabled}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
index 0ad2f342b2..e9556d3364 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
@@ -1,5 +1,5 @@
 import { useAppDispatch } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import {
   ControlNetConfig,
@@ -34,7 +34,7 @@ export default function ParamControlNetResizeMode(
   );
 
   return (
-    <IAIInformationalPopover details="controlNetResizeMode">
+    <IAIInformationalPopover feature="controlNetResizeMode">
       <IAIMantineSelect
         disabled={!isEnabled}
         label={t('controlnet.resizeMode')}
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
index 4e9928d828..97752988e3 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
@@ -1,5 +1,5 @@
 import { useAppDispatch } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
 import {
   ControlNetConfig,
@@ -24,7 +24,7 @@ const ParamControlNetWeight = (props: ParamControlNetWeightProps) => {
   );
 
   return (
-    <IAIInformationalPopover details="controlNetWeight">
+    <IAIInformationalPopover feature="controlNetWeight">
       <IAISlider
         isDisabled={!isEnabled}
         label={t('controlnet.weight')}
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx
index ff9352d806..f34235bab2 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx
@@ -43,8 +43,8 @@ const ParamDynamicPromptsCollapse = () => {
       activeLabel={activeLabel}
     >
       <Flex sx={{ gap: 2, flexDir: 'column' }}>
-        <ParamDynamicPromptsSeedBehaviour />
         <ParamDynamicPromptsPreview />
+        <ParamDynamicPromptsSeedBehaviour />
         <ParamDynamicPromptsMaxPrompts />
       </Flex>
     </IAICollapse>
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
index 391d588733..353f0b4eaa 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx
@@ -4,9 +4,8 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
 import { memo, useCallback } from 'react';
-import { combinatorialToggled } from '../store/dynamicPromptsSlice';
 import { useTranslation } from 'react-i18next';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import { combinatorialToggled } from '../store/dynamicPromptsSlice';
 
 const selector = createSelector(
   stateSelector,
@@ -28,13 +27,11 @@ const ParamDynamicPromptsCombinatorial = () => {
   }, [dispatch]);
 
   return (
-    <IAIInformationalPopover details="dynamicPromptsCombinatorial">
-      <IAISwitch
-        label={t('dynamicPrompts.combinatorial')}
-        isChecked={combinatorial}
-        onChange={handleChange}
-      />
-    </IAIInformationalPopover>
+    <IAISwitch
+      label={t('dynamicPrompts.combinatorial')}
+      isChecked={combinatorial}
+      onChange={handleChange}
+    />
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx
index 29305630cc..df80faaa3b 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx
@@ -9,6 +9,7 @@ import {
   maxPromptsReset,
 } from '../store/dynamicPromptsSlice';
 import { useTranslation } from 'react-i18next';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 
 const selector = createSelector(
   stateSelector,
@@ -46,19 +47,21 @@ const ParamDynamicPromptsMaxPrompts = () => {
   }, [dispatch]);
 
   return (
-    <IAISlider
-      label={t('dynamicPrompts.maxPrompts')}
-      isDisabled={isDisabled}
-      min={min}
-      max={sliderMax}
-      value={maxPrompts}
-      onChange={handleChange}
-      sliderNumberInputProps={{ max: inputMax }}
-      withSliderMarks
-      withInput
-      withReset
-      handleReset={handleReset}
-    />
+    <IAIInformationalPopover feature="dynamicPromptsMaxPrompts">
+      <IAISlider
+        label={t('dynamicPrompts.maxPrompts')}
+        isDisabled={isDisabled}
+        min={min}
+        max={sliderMax}
+        value={maxPrompts}
+        onChange={handleChange}
+        sliderNumberInputProps={{ max: inputMax }}
+        withSliderMarks
+        withInput
+        withReset
+        handleReset={handleReset}
+      />
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx
index a961550abe..7e64521be2 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsPreview.tsx
@@ -13,6 +13,7 @@ import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent';
 import { memo } from 'react';
 import { FaCircleExclamation } from 'react-icons/fa6';
@@ -42,58 +43,73 @@ const ParamDynamicPromptsPreview = () => {
 
   if (isError) {
     return (
-      <Flex
-        w="full"
-        h="full"
-        layerStyle="second"
-        alignItems="center"
-        justifyContent="center"
-        p={8}
-      >
-        <IAINoContentFallback
-          icon={FaCircleExclamation}
-          label="Problem generating prompts"
-        />
-      </Flex>
+      <IAIInformationalPopover feature="dynamicPrompts">
+        <Flex
+          w="full"
+          h="full"
+          layerStyle="second"
+          alignItems="center"
+          justifyContent="center"
+          p={8}
+        >
+          <IAINoContentFallback
+            icon={FaCircleExclamation}
+            label="Problem generating prompts"
+          />
+        </Flex>
+      </IAIInformationalPopover>
     );
   }
 
   return (
-    <FormControl isInvalid={Boolean(parsingError)}>
-      <FormLabel whiteSpace="nowrap" overflow="hidden" textOverflow="ellipsis">
-        Prompts Preview ({prompts.length}){parsingError && ` - ${parsingError}`}
-      </FormLabel>
-      <Flex h={64} pos="relative" layerStyle="third" borderRadius="base" p={2}>
-        <ScrollableContent>
-          <OrderedList stylePosition="inside" ms={0}>
-            {prompts.map((prompt, i) => (
-              <ListItem
-                fontSize="sm"
-                key={`${prompt}.${i}`}
-                sx={listItemStyles}
-              >
-                <Text as="span">{prompt}</Text>
-              </ListItem>
-            ))}
-          </OrderedList>
-        </ScrollableContent>
-        {isLoading && (
-          <Flex
-            pos="absolute"
-            w="full"
-            h="full"
-            top={0}
-            insetInlineStart={0}
-            layerStyle="second"
-            opacity={0.7}
-            alignItems="center"
-            justifyContent="center"
-          >
-            <Spinner />
-          </Flex>
-        )}
-      </Flex>
-    </FormControl>
+    <IAIInformationalPopover feature="dynamicPrompts">
+      <FormControl isInvalid={Boolean(parsingError)}>
+        <FormLabel
+          whiteSpace="nowrap"
+          overflow="hidden"
+          textOverflow="ellipsis"
+        >
+          Prompts Preview ({prompts.length})
+          {parsingError && ` - ${parsingError}`}
+        </FormLabel>
+        <Flex
+          h={64}
+          pos="relative"
+          layerStyle="third"
+          borderRadius="base"
+          p={2}
+        >
+          <ScrollableContent>
+            <OrderedList stylePosition="inside" ms={0}>
+              {prompts.map((prompt, i) => (
+                <ListItem
+                  fontSize="sm"
+                  key={`${prompt}.${i}`}
+                  sx={listItemStyles}
+                >
+                  <Text as="span">{prompt}</Text>
+                </ListItem>
+              ))}
+            </OrderedList>
+          </ScrollableContent>
+          {isLoading && (
+            <Flex
+              pos="absolute"
+              w="full"
+              h="full"
+              top={0}
+              insetInlineStart={0}
+              layerStyle="second"
+              opacity={0.7}
+              alignItems="center"
+              justifyContent="center"
+            >
+              <Spinner />
+            </Flex>
+          )}
+        </Flex>
+      </FormControl>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx
index 14a3e29ff7..fdd90919af 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx
@@ -7,6 +7,7 @@ import {
   seedBehaviourChanged,
 } from '../store/dynamicPromptsSlice';
 import IAIMantineSelectItemWithDescription from 'common/components/IAIMantineSelectItemWithDescription';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 
 type Item = {
   label: string;
@@ -47,13 +48,15 @@ const ParamDynamicPromptsSeedBehaviour = () => {
   );
 
   return (
-    <IAIMantineSelect
-      label={t('dynamicPrompts.seedBehaviour.label')}
-      value={seedBehaviour}
-      data={data}
-      itemComponent={IAIMantineSelectItemWithDescription}
-      onChange={handleChange}
-    />
+    <IAIInformationalPopover feature="dynamicPromptsSeedBehaviour">
+      <IAIMantineSelect
+        label={t('dynamicPrompts.seedBehaviour.label')}
+        value={seedBehaviour}
+        data={data}
+        itemComponent={IAIMantineSelectItemWithDescription}
+        onChange={handleChange}
+      />
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx
index 951de86217..7338caec22 100644
--- a/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx
+++ b/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx
@@ -10,7 +10,7 @@ import {
   loraWeightChanged,
   loraWeightReset,
 } from '../store/loraSlice';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 
 type Props = {
   lora: LoRA;
@@ -36,7 +36,7 @@ const ParamLora = (props: Props) => {
   }, [dispatch, lora.id]);
 
   return (
-    <IAIInformationalPopover details="lora">
+    <IAIInformationalPopover feature="lora">
       <Flex sx={{ gap: 2.5, alignItems: 'flex-end' }}>
         <IAISlider
           label={lora.model_name}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
index a5ab8b9a94..bff8120b7b 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
@@ -1,6 +1,6 @@
 import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
 import { setClipSkip } from 'features/parameters/store/generationSlice';
 import { clipSkipMap } from 'features/parameters/types/constants';
@@ -47,7 +47,7 @@ export default function ParamClipSkip() {
   }
 
   return (
-    <IAIInformationalPopover details="clipSkip">
+    <IAIInformationalPopover feature="clipSkip" placement="top">
       <IAISlider
         label={t('parameters.clipSkip')}
         aria-label={t('parameters.clipSkip')}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx
index 52d3dfc1ba..c5bda7c596 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx
@@ -1,7 +1,8 @@
-import { Box, Flex, Spacer, Text } from '@chakra-ui/react';
+import { Flex, FormControl, FormLabel, Spacer } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import { canvasSelector } from 'features/canvas/store/canvasSelectors';
 import { flipBoundingBoxAxes } from 'features/canvas/store/canvasSlice';
 import { generationSelector } from 'features/parameters/store/generationSelectors';
@@ -18,7 +19,6 @@ import ParamAspectRatio, {
 } from '../../Core/ParamAspectRatio';
 import ParamBoundingBoxHeight from './ParamBoundingBoxHeight';
 import ParamBoundingBoxWidth from './ParamBoundingBoxWidth';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
 
 const sizeOptsSelector = createSelector(
   [generationSelector, canvasSelector],
@@ -93,42 +93,29 @@ export default function ParamBoundingBoxSize() {
         },
       }}
     >
-      <Flex alignItems="center" gap={2}>
-        <Box width="full">
-          <IAIInformationalPopover details="paramRatio">
-            <Text
-              sx={{
-                fontSize: 'sm',
-                width: 'full',
-                color: 'base.700',
-                _dark: {
-                  color: 'base.300',
-                },
-              }}
-            >
-              {t('parameters.aspectRatio')}
-            </Text>
-          </IAIInformationalPopover>
-        </Box>
-        <Spacer />
-        <ParamAspectRatio />
-        <IAIIconButton
-          tooltip={t('ui.swapSizes')}
-          aria-label={t('ui.swapSizes')}
-          size="sm"
-          icon={<MdOutlineSwapVert />}
-          fontSize={20}
-          onClick={handleToggleSize}
-        />
-        <IAIIconButton
-          tooltip={t('ui.lockRatio')}
-          aria-label={t('ui.lockRatio')}
-          size="sm"
-          icon={<FaLock />}
-          isChecked={shouldLockAspectRatio}
-          onClick={handleLockRatio}
-        />
-      </Flex>
+      <IAIInformationalPopover feature="paramRatio">
+        <FormControl as={Flex} flexDir="row" alignItems="center" gap={2}>
+          <FormLabel>{t('parameters.aspectRatio')}</FormLabel>
+          <Spacer />
+          <ParamAspectRatio />
+          <IAIIconButton
+            tooltip={t('ui.swapSizes')}
+            aria-label={t('ui.swapSizes')}
+            size="sm"
+            icon={<MdOutlineSwapVert />}
+            fontSize={20}
+            onClick={handleToggleSize}
+          />
+          <IAIIconButton
+            tooltip={t('ui.lockRatio')}
+            aria-label={t('ui.lockRatio')}
+            size="sm"
+            icon={<FaLock />}
+            isChecked={shouldLockAspectRatio}
+            onClick={handleLockRatio}
+          />
+        </FormControl>
+      </IAIInformationalPopover>
       <ParamBoundingBoxWidth />
       <ParamBoundingBoxHeight />
     </Flex>
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx
index 62bfca901c..e3d6501e1d 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx
@@ -1,6 +1,6 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import { IAISelectDataType } from 'common/components/IAIMantineSearchableSelect';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import { setCanvasCoherenceMode } from 'features/parameters/store/generationSlice';
@@ -31,7 +31,7 @@ const ParamCanvasCoherenceMode = () => {
   };
 
   return (
-    <IAIInformationalPopover details="compositingCoherenceMode">
+    <IAIInformationalPopover feature="compositingCoherenceMode">
       <IAIMantineSelect
         label={t('parameters.coherenceMode')}
         data={coherenceModeSelectData}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx
index f7de446737..463d596a5c 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx
@@ -1,6 +1,6 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
 import { setCanvasCoherenceSteps } from 'features/parameters/store/generationSlice';
 import { memo } from 'react';
@@ -14,7 +14,7 @@ const ParamCanvasCoherenceSteps = () => {
   const { t } = useTranslation();
 
   return (
-    <IAIInformationalPopover details="compositingCoherenceSteps">
+    <IAIInformationalPopover feature="compositingCoherenceSteps">
       <IAISlider
         label={t('parameters.coherenceSteps')}
         min={1}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx
index 31b86cfd49..e5311db3a6 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx
@@ -1,6 +1,6 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
 import { setCanvasCoherenceStrength } from 'features/parameters/store/generationSlice';
 import { memo } from 'react';
@@ -14,7 +14,7 @@ const ParamCanvasCoherenceStrength = () => {
   const { t } = useTranslation();
 
   return (
-    <IAIInformationalPopover details="compositingStrength">
+    <IAIInformationalPopover feature="compositingStrength">
       <IAISlider
         label={t('parameters.coherenceStrength')}
         min={0}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx
index da68f5ed3c..bbadbbabf0 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx
@@ -1,6 +1,6 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
 import { setMaskBlur } from 'features/parameters/store/generationSlice';
 import { useTranslation } from 'react-i18next';
@@ -13,7 +13,7 @@ export default function ParamMaskBlur() {
   const { t } = useTranslation();
 
   return (
-    <IAIInformationalPopover details="compositingBlur">
+    <IAIInformationalPopover feature="compositingBlur">
       <IAISlider
         label={t('parameters.maskBlur')}
         min={0}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
index 12da7fd2fd..df0b2ebc90 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx
@@ -2,7 +2,7 @@ import { SelectItem } from '@mantine/core';
 import { RootState } from 'app/store/store';
 
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import { setMaskBlurMethod } from 'features/parameters/store/generationSlice';
 import { useTranslation } from 'react-i18next';
@@ -29,7 +29,7 @@ export default function ParamMaskBlurMethod() {
   };
 
   return (
-    <IAIInformationalPopover details="compositingBlurMethod">
+    <IAIInformationalPopover feature="compositingBlurMethod">
       <IAIMantineSelect
         value={maskBlurMethod}
         onChange={handleMaskBlurMethodChange}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx
index 606d6d2dfc..d0a0ff8f01 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx
@@ -15,19 +15,13 @@ const ParamCompositingSettingsCollapse = () => {
   return (
     <IAICollapse label={t('parameters.compositingSettingsHeader')}>
       <Flex sx={{ flexDirection: 'column', gap: 2 }}>
-        <SubParametersWrapper
-          label={t('parameters.coherencePassHeader')}
-          headerInfoPopover="compositingCoherencePass"
-        >
+        <SubParametersWrapper label={t('parameters.coherencePassHeader')}>
           <ParamCanvasCoherenceMode />
           <ParamCanvasCoherenceSteps />
           <ParamCanvasCoherenceStrength />
         </SubParametersWrapper>
         <Divider />
-        <SubParametersWrapper
-          label={t('parameters.maskAdjustmentsHeader')}
-          headerInfoPopover="compositingMaskAdjustments"
-        >
+        <SubParametersWrapper label={t('parameters.maskAdjustmentsHeader')}>
           <ParamMaskBlur />
           <ParamMaskBlurMethod />
         </SubParametersWrapper>
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx
index 7a4ac1601d..cf4c9cdb0c 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx
@@ -2,7 +2,7 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import { setInfillMethod } from 'features/parameters/store/generationSlice';
 
@@ -40,7 +40,7 @@ const ParamInfillMethod = () => {
   );
 
   return (
-    <IAIInformationalPopover details="infillMethod">
+    <IAIInformationalPopover feature="infillMethod">
       <IAIMantineSelect
         disabled={infill_methods?.length === 0}
         placeholder={isLoading ? 'Loading...' : undefined}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx
index a1c63d6ddb..1a0e497739 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx
@@ -1,7 +1,7 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
 import { canvasSelector } from 'features/canvas/store/canvasSelectors';
 import { setBoundingBoxScaleMethod } from 'features/canvas/store/canvasSlice';
@@ -36,7 +36,7 @@ const ParamScaleBeforeProcessing = () => {
   };
 
   return (
-    <IAIInformationalPopover details="scaleBeforeProcessing">
+    <IAIInformationalPopover feature="scaleBeforeProcessing">
       <IAIMantineSearchableSelect
         label={t('parameters.scaleBeforeProcessing')}
         data={BOUNDING_BOX_SCALES_DICT}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx
index 05e0b09cee..3a5cc264e7 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx
@@ -1,4 +1,4 @@
-import { ButtonGroup, Flex } from '@chakra-ui/react';
+import { ButtonGroup } from '@chakra-ui/react';
 import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
@@ -29,25 +29,23 @@ export default function ParamAspectRatio() {
   const activeTabName = useAppSelector(activeTabNameSelector);
 
   return (
-    <Flex gap={2} flexGrow={1}>
-      <ButtonGroup isAttached>
-        {aspectRatios.map((ratio) => (
-          <IAIButton
-            key={ratio.name}
-            size="sm"
-            isChecked={aspectRatio === ratio.value}
-            isDisabled={
-              activeTabName === 'img2img' ? !shouldFitToWidthHeight : false
-            }
-            onClick={() => {
-              dispatch(setAspectRatio(ratio.value));
-              dispatch(setShouldLockAspectRatio(false));
-            }}
-          >
-            {ratio.name}
-          </IAIButton>
-        ))}
-      </ButtonGroup>
-    </Flex>
+    <ButtonGroup isAttached>
+      {aspectRatios.map((ratio) => (
+        <IAIButton
+          key={ratio.name}
+          size="sm"
+          isChecked={aspectRatio === ratio.value}
+          isDisabled={
+            activeTabName === 'img2img' ? !shouldFitToWidthHeight : false
+          }
+          onClick={() => {
+            dispatch(setAspectRatio(ratio.value));
+            dispatch(setShouldLockAspectRatio(false));
+          }}
+        >
+          {ratio.name}
+        </IAIButton>
+      ))}
+    </ButtonGroup>
   );
 }
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx
index 51d6edc2dc..233a32ff09 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx
@@ -2,7 +2,7 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAINumberInput from 'common/components/IAINumberInput';
 import IAISlider from 'common/components/IAISlider';
 import { setCfgScale } from 'features/parameters/store/generationSlice';
@@ -54,7 +54,7 @@ const ParamCFGScale = () => {
   );
 
   return shouldUseSliders ? (
-    <IAIInformationalPopover details="paramCFGScale">
+    <IAIInformationalPopover feature="paramCFGScale">
       <IAISlider
         label={t('parameters.cfgScale')}
         step={shift ? 0.1 : 0.5}
@@ -71,7 +71,7 @@ const ParamCFGScale = () => {
       />
     </IAIInformationalPopover>
   ) : (
-    <IAIInformationalPopover details="paramCFGScale">
+    <IAIInformationalPopover feature="paramCFGScale">
       <IAINumberInput
         label={t('parameters.cfgScale')}
         step={0.5}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
index 429291190b..761ec6d2e1 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx
@@ -2,7 +2,7 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAINumberInput from 'common/components/IAINumberInput';
 import IAISlider from 'common/components/IAISlider';
 import { setIterations } from 'features/parameters/store/generationSlice';
@@ -61,7 +61,7 @@ const ParamIterations = ({ asSlider }: Props) => {
   }, [dispatch, initial]);
 
   return asSlider || shouldUseSliders ? (
-    <IAIInformationalPopover details="paramIterations">
+    <IAIInformationalPopover feature="paramIterations">
       <IAISlider
         label={t('parameters.iterations')}
         step={step}
@@ -77,7 +77,7 @@ const ParamIterations = ({ asSlider }: Props) => {
       />
     </IAIInformationalPopover>
   ) : (
-    <IAIInformationalPopover details="paramIterations">
+    <IAIInformationalPopover feature="paramIterations">
       <IAINumberInput
         label={t('parameters.iterations')}
         step={step}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx
index a54b1489e3..fe7a13d975 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx
@@ -1,7 +1,7 @@
 import { Box, FormControl, useDisclosure } from '@chakra-ui/react';
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAITextarea from 'common/components/IAITextarea';
 import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton';
 import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover';
@@ -76,15 +76,15 @@ const ParamNegativeConditioning = () => {
   const isEmbeddingEnabled = useFeatureStatus('embedding').isFeatureEnabled;
 
   return (
-    <IAIInformationalPopover
-      placement="right"
-      details="paramNegativeConditioning"
-    >
-      <FormControl>
-        <ParamEmbeddingPopover
-          isOpen={isOpen}
-          onClose={onClose}
-          onSelect={handleSelectEmbedding}
+    <FormControl>
+      <ParamEmbeddingPopover
+        isOpen={isOpen}
+        onClose={onClose}
+        onSelect={handleSelectEmbedding}
+      >
+        <IAIInformationalPopover
+          feature="paramNegativeConditioning"
+          placement="right"
         >
           <IAITextarea
             id="negativePrompt"
@@ -98,20 +98,20 @@ const ParamNegativeConditioning = () => {
             minH={16}
             {...(isEmbeddingEnabled && { onKeyDown: handleKeyDown })}
           />
-        </ParamEmbeddingPopover>
-        {!isOpen && isEmbeddingEnabled && (
-          <Box
-            sx={{
-              position: 'absolute',
-              top: 0,
-              insetInlineEnd: 0,
-            }}
-          >
-            <AddEmbeddingButton onClick={onOpen} />
-          </Box>
-        )}
-      </FormControl>
-    </IAIInformationalPopover>
+        </IAIInformationalPopover>
+      </ParamEmbeddingPopover>
+      {!isOpen && isEmbeddingEnabled && (
+        <Box
+          sx={{
+            position: 'absolute',
+            top: 0,
+            insetInlineEnd: 0,
+          }}
+        >
+          <AddEmbeddingButton onClick={onOpen} />
+        </Box>
+      )}
+    </FormControl>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
index 9ff616084d..78dbd71ab0 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamPositiveConditioning.tsx
@@ -2,6 +2,7 @@ import { Box, FormControl, useDisclosure } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAITextarea from 'common/components/IAITextarea';
 import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton';
 import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover';
@@ -12,7 +13,6 @@ import { flushSync } from 'react-dom';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
-import IAIInformationalPopover from '../../../../../common/components/IAIInformationalPopover';
 
 const promptInputSelector = createSelector(
   [stateSelector],
@@ -104,15 +104,15 @@ const ParamPositiveConditioning = () => {
 
   return (
     <Box position="relative">
-      <IAIInformationalPopover
-        placement="right"
-        details="paramPositiveConditioning"
-      >
-        <FormControl>
-          <ParamEmbeddingPopover
-            isOpen={isOpen}
-            onClose={onClose}
-            onSelect={handleSelectEmbedding}
+      <FormControl>
+        <ParamEmbeddingPopover
+          isOpen={isOpen}
+          onClose={onClose}
+          onSelect={handleSelectEmbedding}
+        >
+          <IAIInformationalPopover
+            feature="paramPositiveConditioning"
+            placement="right"
           >
             <IAITextarea
               id="prompt"
@@ -125,9 +125,9 @@ const ParamPositiveConditioning = () => {
               resize="vertical"
               minH={32}
             />
-          </ParamEmbeddingPopover>
-        </FormControl>
-      </IAIInformationalPopover>
+          </IAIInformationalPopover>
+        </ParamEmbeddingPopover>
+      </FormControl>
       {!isOpen && isEmbeddingEnabled && (
         <Box
           sx={{
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx
index 3aadac0457..a44e6fb551 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx
@@ -1,7 +1,7 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
 import { generationSelector } from 'features/parameters/store/generationSelectors';
 import { setScheduler } from 'features/parameters/store/generationSlice';
@@ -52,7 +52,7 @@ const ParamScheduler = () => {
   );
 
   return (
-    <IAIInformationalPopover details="paramScheduler">
+    <IAIInformationalPopover feature="paramScheduler">
       <IAIMantineSearchableSelect
         label={t('parameters.scheduler')}
         value={scheduler}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
index 94ed136314..9a720c2d27 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx
@@ -1,7 +1,9 @@
-import { Box, Flex, Spacer, Text } from '@chakra-ui/react';
+import { Flex, FormControl, FormLabel, Spacer } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIIconButton from 'common/components/IAIIconButton';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import { generationSelector } from 'features/parameters/store/generationSelectors';
 import {
   setAspectRatio,
@@ -16,8 +18,6 @@ import { activeTabNameSelector } from '../../../../ui/store/uiSelectors';
 import ParamAspectRatio, { mappedAspectRatios } from './ParamAspectRatio';
 import ParamHeight from './ParamHeight';
 import ParamWidth from './ParamWidth';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 
 const sizeOptsSelector = createSelector(
   [generationSelector, activeTabNameSelector],
@@ -83,47 +83,35 @@ export default function ParamSize() {
         },
       }}
     >
-      <Flex alignItems="center" gap={2}>
-        <Box width="full">
-          <IAIInformationalPopover details="paramRatio">
-            <Text
-              sx={{
-                fontSize: 'sm',
-                color: 'base.700',
-                _dark: {
-                  color: 'base.300',
-                },
-              }}
-            >
-              {t('parameters.aspectRatio')}
-            </Text>
-          </IAIInformationalPopover>
-        </Box>
-        <Spacer />
-        <ParamAspectRatio />
-        <IAIIconButton
-          tooltip={t('ui.swapSizes')}
-          aria-label={t('ui.swapSizes')}
-          size="sm"
-          icon={<MdOutlineSwapVert />}
-          fontSize={20}
-          isDisabled={
-            activeTabName === 'img2img' ? !shouldFitToWidthHeight : false
-          }
-          onClick={handleToggleSize}
-        />
-        <IAIIconButton
-          tooltip={t('ui.lockRatio')}
-          aria-label={t('ui.lockRatio')}
-          size="sm"
-          icon={<FaLock />}
-          isChecked={shouldLockAspectRatio}
-          isDisabled={
-            activeTabName === 'img2img' ? !shouldFitToWidthHeight : false
-          }
-          onClick={handleLockRatio}
-        />
-      </Flex>
+      <IAIInformationalPopover feature="paramRatio">
+        <FormControl as={Flex} flexDir="row" alignItems="center" gap={2}>
+          <FormLabel>{t('parameters.aspectRatio')}</FormLabel>
+          <Spacer />
+          <ParamAspectRatio />
+          <IAIIconButton
+            tooltip={t('ui.swapSizes')}
+            aria-label={t('ui.swapSizes')}
+            size="sm"
+            icon={<MdOutlineSwapVert />}
+            fontSize={20}
+            isDisabled={
+              activeTabName === 'img2img' ? !shouldFitToWidthHeight : false
+            }
+            onClick={handleToggleSize}
+          />
+          <IAIIconButton
+            tooltip={t('ui.lockRatio')}
+            aria-label={t('ui.lockRatio')}
+            size="sm"
+            icon={<FaLock />}
+            isChecked={shouldLockAspectRatio}
+            isDisabled={
+              activeTabName === 'img2img' ? !shouldFitToWidthHeight : false
+            }
+            onClick={handleLockRatio}
+          />
+        </FormControl>
+      </IAIInformationalPopover>
       <Flex gap={2} alignItems="center">
         <Flex gap={2} flexDirection="column" width="full">
           <ParamWidth
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx
index 61bdec571d..ffbf108bbb 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSteps.tsx
@@ -2,7 +2,7 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAINumberInput from 'common/components/IAINumberInput';
 
 import IAISlider from 'common/components/IAISlider';
@@ -57,7 +57,7 @@ const ParamSteps = () => {
   }, [dispatch]);
 
   return shouldUseSliders ? (
-    <IAIInformationalPopover details="paramSteps">
+    <IAIInformationalPopover feature="paramSteps">
       <IAISlider
         label={t('parameters.steps')}
         min={min}
@@ -73,7 +73,7 @@ const ParamSteps = () => {
       />
     </IAIInformationalPopover>
   ) : (
-    <IAIInformationalPopover details="paramSteps">
+    <IAIInformationalPopover feature="paramSteps">
       <IAINumberInput
         label={t('parameters.steps')}
         min={min}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx
index b22dff22e5..f14d4b2c5b 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx
@@ -7,7 +7,7 @@ import { setImg2imgStrength } from 'features/parameters/store/generationSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import SubParametersWrapper from '../SubParametersWrapper';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 
 const selector = createSelector(
   [stateSelector],
@@ -46,8 +46,8 @@ const ImageToImageStrength = () => {
   }, [dispatch, initial]);
 
   return (
-    <SubParametersWrapper>
-      <IAIInformationalPopover details="paramDenoisingStrength">
+    <IAIInformationalPopover feature="paramDenoisingStrength">
+      <SubParametersWrapper>
         <IAISlider
           label={`${t('parameters.denoisingStrength')}`}
           step={step}
@@ -62,8 +62,8 @@ const ImageToImageStrength = () => {
           withReset
           sliderNumberInputProps={{ max: inputMax }}
         />
-      </IAIInformationalPopover>
-    </SubParametersWrapper>
+      </SubParametersWrapper>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index 4252310fc0..f4d7421eed 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -21,7 +21,7 @@ import {
   useGetOnnxModelsQuery,
 } from 'services/api/endpoints/models';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 
 const selector = createSelector(
   stateSelector,
@@ -120,7 +120,7 @@ const ParamMainModelSelect = () => {
     />
   ) : (
     <Flex w="100%" alignItems="center" gap={3}>
-      <IAIInformationalPopover details="paramModel" placement="bottom">
+      <IAIInformationalPopover feature="paramModel">
         <IAIMantineSearchableSelect
           tooltip={selectedModel?.description}
           label={t('modelManager.model')}
@@ -136,7 +136,7 @@ const ParamMainModelSelect = () => {
         />
       </IAIInformationalPopover>
       {isSyncModelEnabled && (
-        <Box mt={7}>
+        <Box mt={6}>
           <SyncModelsButton iconMode />
         </Box>
       )}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
index b3c8aea415..0f98d9f384 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx
@@ -1,5 +1,5 @@
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAISwitch from 'common/components/IAISwitch';
 import { shouldUseCpuNoiseChanged } from 'features/parameters/store/generationSlice';
 import { ChangeEvent, useCallback } from 'react';
@@ -20,7 +20,7 @@ export const ParamCpuNoiseToggle = () => {
   );
 
   return (
-    <IAIInformationalPopover details="noiseUseCPU">
+    <IAIInformationalPopover feature="noiseUseCPU">
       <IAISwitch
         label={t('parameters.useCpuNoise')}
         isChecked={shouldUseCpuNoise}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
index 8ddba1cbb2..d9ca7c6a0f 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
@@ -3,11 +3,11 @@ import { memo } from 'react';
 import ParamSeed from './ParamSeed';
 import ParamSeedShuffle from './ParamSeedShuffle';
 import ParamSeedRandomize from './ParamSeedRandomize';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 
 const ParamSeedFull = () => {
   return (
-    <IAIInformationalPopover details="paramSeed">
+    <IAIInformationalPopover feature="paramSeed">
       <Flex sx={{ gap: 3, alignItems: 'flex-end' }}>
         <ParamSeed />
         <ParamSeedShuffle />
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx
index 65b565e926..2098503a1f 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx
@@ -1,40 +1,28 @@
-import { Flex, Text } from '@chakra-ui/react';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import { Flex, Text, forwardRef } from '@chakra-ui/react';
 import { ReactNode, memo } from 'react';
 
 type SubParameterWrapperProps = {
-  children: ReactNode | ReactNode[];
+  children: ReactNode;
   label?: string;
-  headerInfoPopover?: string;
 };
 
-const SubParametersWrapper = (props: SubParameterWrapperProps) => (
-  <Flex
-    sx={{
-      flexDir: 'column',
-      gap: 2,
-      bg: 'base.100',
-      px: 4,
-      pt: 2,
-      pb: 4,
-      borderRadius: 'base',
-      _dark: {
-        bg: 'base.750',
-      },
-    }}
-  >
-    {props.headerInfoPopover && props.label && (
-      <IAIInformationalPopover details={props.headerInfoPopover}>
-        <Text
-          fontSize="sm"
-          fontWeight="bold"
-          sx={{ color: 'base.600', _dark: { color: 'base.300' } }}
-        >
-          {props.label}
-        </Text>
-      </IAIInformationalPopover>
-    )}
-    {!props.headerInfoPopover && props.label && (
+const SubParametersWrapper = forwardRef(
+  (props: SubParameterWrapperProps, ref) => (
+    <Flex
+      ref={ref}
+      sx={{
+        flexDir: 'column',
+        gap: 2,
+        bg: 'base.100',
+        px: 4,
+        pt: 2,
+        pb: 4,
+        borderRadius: 'base',
+        _dark: {
+          bg: 'base.750',
+        },
+      }}
+    >
       <Text
         fontSize="sm"
         fontWeight="bold"
@@ -42,9 +30,9 @@ const SubParametersWrapper = (props: SubParameterWrapperProps) => (
       >
         {props.label}
       </Text>
-    )}
-    {props.children}
-  </Flex>
+      {props.children}
+    </Flex>
+  )
 );
 
 SubParametersWrapper.displayName = 'SubSettingsWrapper';
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx
index c551562962..ee8979469b 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx
@@ -15,7 +15,7 @@ import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectI
 import { vaeSelected } from 'features/parameters/store/generationSlice';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToVAEModelParam } from 'features/parameters/util/modelIdToVAEModelParam';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 
 const selector = createSelector(
   stateSelector,
@@ -94,7 +94,7 @@ const ParamVAEModelSelect = () => {
   );
 
   return (
-    <IAIInformationalPopover details="paramVAE">
+    <IAIInformationalPopover feature="paramVAE">
       <IAIMantineSearchableSelect
         itemComponent={IAIMantineSelectItemWithTooltip}
         tooltip={selectedVaeModel?.description}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
index 5fa15c5fe3..f71794394e 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
@@ -2,7 +2,7 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import { vaePrecisionChanged } from 'features/parameters/store/generationSlice';
 import { PrecisionParam } from 'features/parameters/types/parameterSchemas';
@@ -35,7 +35,7 @@ const ParamVAEModelSelect = () => {
   );
 
   return (
-    <IAIInformationalPopover details="paramVAEPrecision">
+    <IAIInformationalPopover feature="paramVAEPrecision">
       <IAIMantineSelect
         label="VAE Precision"
         value={vaePrecision}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
index dc8ae775f9..cc58b8e7dd 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
@@ -7,7 +7,7 @@ import SubParametersWrapper from 'features/parameters/components/Parameters/SubP
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { setSDXLImg2ImgDenoisingStrength } from '../store/sdxlSlice';
-import IAIInformationalPopover from 'common/components/IAIInformationalPopover';
+import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 
 const selector = createSelector(
   [stateSelector],
@@ -36,8 +36,8 @@ const ParamSDXLImg2ImgDenoisingStrength = () => {
   }, [dispatch]);
 
   return (
-    <SubParametersWrapper>
-      <IAIInformationalPopover details="paramDenoisingStrength">
+    <IAIInformationalPopover feature="paramDenoisingStrength">
+      <SubParametersWrapper>
         <IAISlider
           label={t('sdxl.denoisingStrength')}
           step={0.01}
@@ -51,8 +51,8 @@ const ParamSDXLImg2ImgDenoisingStrength = () => {
           withSliderMarks
           withReset
         />
-      </IAIInformationalPopover>
-    </SubParametersWrapper>
+      </SubParametersWrapper>
+    </IAIInformationalPopover>
   );
 };
 
diff --git a/invokeai/frontend/web/src/theme/components/popover.ts b/invokeai/frontend/web/src/theme/components/popover.ts
index 0facb25849..db46f79084 100644
--- a/invokeai/frontend/web/src/theme/components/popover.ts
+++ b/invokeai/frontend/web/src/theme/components/popover.ts
@@ -31,14 +31,14 @@ const invokeAIContent = defineStyle((props) => {
 
 const informationalContent = defineStyle((props) => {
   return {
-    [$arrowBg.variable]: mode('colors.base.100', 'colors.base.600')(props),
-    [$popperBg.variable]: mode('colors.base.100', 'colors.base.600')(props),
+    [$arrowBg.variable]: mode('colors.base.100', 'colors.base.700')(props),
+    [$popperBg.variable]: mode('colors.base.100', 'colors.base.700')(props),
     [$arrowShadowColor.variable]: mode(
       'colors.base.400',
       'colors.base.400'
     )(props),
     p: 4,
-    bg: mode('base.100', 'base.600')(props),
+    bg: mode('base.100', 'base.700')(props),
     border: 'none',
     shadow: 'dark-lg',
   };
@@ -46,6 +46,7 @@ const informationalContent = defineStyle((props) => {
 
 const invokeAI = definePartsStyle((props) => ({
   content: invokeAIContent(props),
+  body: { padding: 0 },
 }));
 
 const informational = definePartsStyle((props) => ({
diff --git a/invokeai/frontend/web/src/theme/theme.ts b/invokeai/frontend/web/src/theme/theme.ts
index c2376a5777..3b83ea2393 100644
--- a/invokeai/frontend/web/src/theme/theme.ts
+++ b/invokeai/frontend/web/src/theme/theme.ts
@@ -76,6 +76,7 @@ export const theme: ThemeOverride = {
   direction: 'ltr',
   fonts: {
     body: `'Inter Variable', sans-serif`,
+    heading: `'Inter Variable', sans-serif`,
   },
   shadows: {
     light: {

From 0363a06963a3a542c1d97526c0c7ca9d0134d6af Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 23 Sep 2023 02:02:27 +0530
Subject: [PATCH 259/265] feat: Add Color Map Preprocessor

---
 invokeai/app/invocations/baseinvocation.py    |  1 +
 .../controlnet_image_processors.py            | 27 +++++++++++++++++++
 2 files changed, 28 insertions(+)

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 97c6e5fc21..af7a343274 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -90,6 +90,7 @@ class FieldDescriptions:
     mask = "The mask to use for the operation"
     board = "The board to save the image to"
     image = "The image to process"
+    tile_size = "Tile size"
 
 
 class Input(str, Enum):
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 5696f43f8d..8655a42558 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -559,3 +559,30 @@ class SamDetectorReproducibleColors(SamDetector):
             img[:, :] = ann_color
             final_img.paste(Image.fromarray(img, mode="RGB"), (0, 0), Image.fromarray(np.uint8(m * 255)))
         return np.array(final_img, dtype=np.uint8)
+
+
+@invocation(
+    "color_map_image_processor",
+    title="Color Map Processor",
+    tags=["controlnet"],
+    category="controlnet",
+    version="1.0.0",
+)
+class ColorMapImageProcessorInvocation(ImageProcessorInvocation):
+    """Generates a color map from the provided image"""
+
+    color_map_tile_size: int = InputField(default=64, ge=0, description=FieldDescriptions.tile_size)
+
+    def run_processor(self, image: Image.Image):
+        image = image.convert("RGB")
+        image = np.array(image, dtype=np.uint8)
+        height, width = image.shape[:2]
+
+        color_map = cv2.resize(
+            image,
+            (width // self.color_map_tile_size, height // self.color_map_tile_size),
+            interpolation=cv2.INTER_CUBIC,
+        )
+        color_map = cv2.resize(color_map, (width, height), interpolation=cv2.INTER_NEAREST)
+        color_map = Image.fromarray(color_map)        
+        return color_map

From 51451cbf215f635655adab54bdb0d574c34b9a8f Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 23 Sep 2023 02:18:59 +0530
Subject: [PATCH 260/265] fix: Handle cases where tile size > image size

---
 invokeai/app/invocations/controlnet_image_processors.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 8655a42558..933c32c908 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -578,11 +578,14 @@ class ColorMapImageProcessorInvocation(ImageProcessorInvocation):
         image = np.array(image, dtype=np.uint8)
         height, width = image.shape[:2]
 
+        width_tile_size = min(self.color_map_tile_size, width)
+        height_tile_size = min(self.color_map_tile_size, height)
+
         color_map = cv2.resize(
             image,
-            (width // self.color_map_tile_size, height // self.color_map_tile_size),
+            (width // width_tile_size, height // height_tile_size),
             interpolation=cv2.INTER_CUBIC,
         )
         color_map = cv2.resize(color_map, (width, height), interpolation=cv2.INTER_NEAREST)
-        color_map = Image.fromarray(color_map)        
+        color_map = Image.fromarray(color_map)
         return color_map

From c485cf568b2803ac711bdc292f27c725b4c19b93 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 23 Sep 2023 02:19:15 +0530
Subject: [PATCH 261/265] feat: Add Color PreProcessor to Linear UI

---
 invokeai/frontend/web/public/locales/en.json  |  3 +
 .../ControlNetProcessorComponent.tsx          | 11 +++
 .../processors/ColorMapProcessor.tsx          | 59 ++++++++++++
 .../processors/common/ProcessorWrapper.tsx    |  6 +-
 .../features/controlNet/store/constants.ts    | 16 +++-
 .../src/features/controlNet/store/types.ts    | 27 ++++++
 .../frontend/web/src/services/api/schema.d.ts | 89 ++++++++++++++-----
 .../frontend/web/src/services/api/types.ts    |  2 +
 8 files changed, 189 insertions(+), 24 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/controlNet/components/processors/ColorMapProcessor.tsx

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 4e6b71e6f4..b663275f92 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -136,6 +136,8 @@
         "bgth": "bg_th",
         "canny": "Canny",
         "cannyDescription": "Canny edge detection",
+        "colorMap": "Color",
+        "colorMapDescription": "Generates a color map from the image",
         "coarse": "Coarse",
         "contentShuffle": "Content Shuffle",
         "contentShuffleDescription": "Shuffles the content in an image",
@@ -159,6 +161,7 @@
         "hideAdvanced": "Hide Advanced",
         "highThreshold": "High Threshold",
         "imageResolution": "Image Resolution",
+        "colorMapTileSize": "Tile Size",
         "importImageFromCanvas": "Import Image From Canvas",
         "importMaskFromCanvas": "Import Mask From Canvas",
         "incompatibleBaseModel": "Incompatible base model:",
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx
index 681838ef27..29aaae4e70 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx
@@ -1,6 +1,7 @@
 import { memo } from 'react';
 import { ControlNetConfig } from '../store/controlNetSlice';
 import CannyProcessor from './processors/CannyProcessor';
+import ColorMapProcessor from './processors/ColorMapProcessor';
 import ContentShuffleProcessor from './processors/ContentShuffleProcessor';
 import HedProcessor from './processors/HedProcessor';
 import LineartAnimeProcessor from './processors/LineartAnimeProcessor';
@@ -30,6 +31,16 @@ const ControlNetProcessorComponent = (props: ControlNetProcessorProps) => {
     );
   }
 
+  if (processorNode.type === 'color_map_image_processor') {
+    return (
+      <ColorMapProcessor
+        controlNetId={controlNetId}
+        processorNode={processorNode}
+        isEnabled={isEnabled}
+      />
+    );
+  }
+
   if (processorNode.type === 'hed_image_processor') {
     return (
       <HedProcessor
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/ColorMapProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/ColorMapProcessor.tsx
new file mode 100644
index 0000000000..9c3d1c8a43
--- /dev/null
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/ColorMapProcessor.tsx
@@ -0,0 +1,59 @@
+import IAISlider from 'common/components/IAISlider';
+import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
+import { RequiredColorMapImageProcessorInvocation } from 'features/controlNet/store/types';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged';
+import ProcessorWrapper from './common/ProcessorWrapper';
+
+const DEFAULTS = CONTROLNET_PROCESSORS.color_map_image_processor
+  .default as RequiredColorMapImageProcessorInvocation;
+
+type ColorMapProcessorProps = {
+  controlNetId: string;
+  processorNode: RequiredColorMapImageProcessorInvocation;
+  isEnabled: boolean;
+};
+
+const ColorMapProcessor = (props: ColorMapProcessorProps) => {
+  const { controlNetId, processorNode, isEnabled } = props;
+  const { color_map_tile_size } = processorNode;
+  const processorChanged = useProcessorNodeChanged();
+  const { t } = useTranslation();
+
+  const handleColorMapTileSizeChanged = useCallback(
+    (v: number) => {
+      processorChanged(controlNetId, { color_map_tile_size: v });
+    },
+    [controlNetId, processorChanged]
+  );
+
+  const handleColorMapTileSizeReset = useCallback(() => {
+    processorChanged(controlNetId, {
+      color_map_tile_size: DEFAULTS.color_map_tile_size,
+    });
+  }, [controlNetId, processorChanged]);
+
+  return (
+    <ProcessorWrapper>
+      <IAISlider
+        isDisabled={!isEnabled}
+        label={t('controlnet.colorMapTileSize')}
+        value={color_map_tile_size}
+        onChange={handleColorMapTileSizeChanged}
+        handleReset={handleColorMapTileSizeReset}
+        withReset
+        min={1}
+        max={256}
+        step={1}
+        withInput
+        withSliderMarks
+        sliderNumberInputProps={{
+          max: 4096,
+        }}
+      />
+    </ProcessorWrapper>
+  );
+};
+
+export default memo(ColorMapProcessor);
diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/common/ProcessorWrapper.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/common/ProcessorWrapper.tsx
index 5dc0a909d5..c3e5b2258e 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/processors/common/ProcessorWrapper.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/processors/common/ProcessorWrapper.tsx
@@ -4,5 +4,9 @@ import { PropsWithChildren } from 'react';
 type Props = PropsWithChildren;
 
 export default function ProcessorWrapper(props: Props) {
-  return <Flex sx={{ flexDirection: 'column', gap: 2 }}>{props.children}</Flex>;
+  return (
+    <Flex sx={{ flexDirection: 'column', gap: 2, pb: 2 }}>
+      {props.children}
+    </Flex>
+  );
 }
diff --git a/invokeai/frontend/web/src/features/controlNet/store/constants.ts b/invokeai/frontend/web/src/features/controlNet/store/constants.ts
index 15d23d014f..1c6437a87d 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/constants.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/constants.ts
@@ -1,8 +1,8 @@
+import i18n from 'i18next';
 import {
   ControlNetProcessorType,
   RequiredControlNetProcessorNode,
 } from './types';
-import i18n from 'i18next';
 
 type ControlNetProcessorsDict = Record<
   ControlNetProcessorType,
@@ -50,6 +50,20 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
       high_threshold: 200,
     },
   },
+  color_map_image_processor: {
+    type: 'color_map_image_processor',
+    get label() {
+      return i18n.t('controlnet.colorMap');
+    },
+    get description() {
+      return i18n.t('controlnet.colorMapDescription');
+    },
+    default: {
+      id: 'color_map_image_processor',
+      type: 'color_map_image_processor',
+      color_map_tile_size: 64,
+    },
+  },
   content_shuffle_image_processor: {
     type: 'content_shuffle_image_processor',
     get label() {
diff --git a/invokeai/frontend/web/src/features/controlNet/store/types.ts b/invokeai/frontend/web/src/features/controlNet/store/types.ts
index 80edb41699..871ca91377 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/types.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/types.ts
@@ -1,6 +1,7 @@
 import { isObject } from 'lodash-es';
 import {
   CannyImageProcessorInvocation,
+  ColorMapImageProcessorInvocation,
   ContentShuffleImageProcessorInvocation,
   HedImageProcessorInvocation,
   LineartAnimeImageProcessorInvocation,
@@ -20,6 +21,7 @@ import { O } from 'ts-toolbelt';
  */
 export type ControlNetProcessorNode =
   | CannyImageProcessorInvocation
+  | ColorMapImageProcessorInvocation
   | ContentShuffleImageProcessorInvocation
   | HedImageProcessorInvocation
   | LineartAnimeImageProcessorInvocation
@@ -47,6 +49,14 @@ export type RequiredCannyImageProcessorInvocation = O.Required<
   'type' | 'low_threshold' | 'high_threshold'
 >;
 
+/**
+ * The Color Map processor node, with parameters flagged as required
+ */
+export type RequiredColorMapImageProcessorInvocation = O.Required<
+  ColorMapImageProcessorInvocation,
+  'type' | 'color_map_tile_size'
+>;
+
 /**
  * The ContentShuffle processor node, with parameters flagged as required
  */
@@ -140,6 +150,7 @@ export type RequiredZoeDepthImageProcessorInvocation = O.Required<
  */
 export type RequiredControlNetProcessorNode = O.Required<
   | RequiredCannyImageProcessorInvocation
+  | RequiredColorMapImageProcessorInvocation
   | RequiredContentShuffleImageProcessorInvocation
   | RequiredHedImageProcessorInvocation
   | RequiredLineartAnimeImageProcessorInvocation
@@ -166,6 +177,22 @@ export const isCannyImageProcessorInvocation = (
   return false;
 };
 
+/**
+ * Type guard for ColorMapImageProcessorInvocation
+ */
+export const isColorMapImageProcessorInvocation = (
+  obj: unknown
+): obj is ColorMapImageProcessorInvocation => {
+  if (
+    isObject(obj) &&
+    'type' in obj &&
+    obj.type === 'color_map_image_processor'
+  ) {
+    return true;
+  }
+  return false;
+};
+
 /**
  * Type guard for ContentShuffleImageProcessorInvocation
  */
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 7c354dea86..cc47c0766d 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1540,6 +1540,51 @@ export type components = {
        */
       type: "color";
     };
+    /**
+     * Color Map Processor
+     * @description Generates a color map from the provided image
+     */
+    ColorMapImageProcessorInvocation: {
+      /**
+       * Id
+       * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+       */
+      id: string;
+      /**
+       * Is Intermediate
+       * @description Whether or not this is an intermediate invocation.
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Workflow
+       * @description The workflow to save with the image
+       */
+      workflow?: string;
+      /**
+       * Use Cache
+       * @description Whether or not to use the cache
+       * @default true
+       */
+      use_cache?: boolean;
+      /**
+       * Image
+       * @description The image to process
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Type
+       * @default color_map_image_processor
+       * @enum {string}
+       */
+      type: "color_map_image_processor";
+      /**
+       * Color Map Tile Size
+       * @description Tile size
+       * @default 64
+       */
+      color_map_tile_size?: number;
+    };
     /**
      * ColorOutput
      * @description Base class for nodes that output a single color
@@ -2935,7 +2980,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"];
       };
       /**
        * Edges
@@ -2978,7 +3023,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["String2Output"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
+        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["String2Output"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
       };
       /**
        * Errors
@@ -9117,24 +9162,6 @@ export type components = {
      * @enum {string}
      */
     CLIPVisionModelFormat: "diffusers";
-    /**
-     * StableDiffusionXLModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
-    /**
-     * IPAdapterModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    IPAdapterModelFormat: "invokeai";
-    /**
-     * StableDiffusion1ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
@@ -9147,12 +9174,30 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionXLModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    /**
+     * IPAdapterModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    IPAdapterModelFormat: "invokeai";
     /**
      * ControlNetModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusion1ModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -9279,7 +9324,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"];
       };
     };
     responses: {
@@ -9321,7 +9366,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"];
       };
     };
     responses: {
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index 669d357527..afa2cd7bd7 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -152,6 +152,8 @@ export type SaveImageInvocation = s['SaveImageInvocation'];
 export type ControlNetInvocation = s['ControlNetInvocation'];
 export type IPAdapterInvocation = s['IPAdapterInvocation'];
 export type CannyImageProcessorInvocation = s['CannyImageProcessorInvocation'];
+export type ColorMapImageProcessorInvocation =
+  s['ColorMapImageProcessorInvocation'];
 export type ContentShuffleImageProcessorInvocation =
   s['ContentShuffleImageProcessorInvocation'];
 export type HedImageProcessorInvocation = s['HedImageProcessorInvocation'];

From e02af8f5183618145d0c291b11c33719f6d71a69 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sat, 23 Sep 2023 08:51:49 +1000
Subject: [PATCH 262/265] fix(ui): fix node glow styling

---
 invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index 1f3110474c..01de3de883 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -878,7 +878,7 @@ const nodesSlice = createSlice({
     builder.addCase(appSocketQueueItemStatusChanged, (state, action) => {
       if (['in_progress'].includes(action.payload.data.status)) {
         forEach(state.nodeExecutionStates, (nes) => {
-          nes.status = NodeStatus.IN_PROGRESS;
+          nes.status = NodeStatus.PENDING;
           nes.error = null;
           nes.progress = null;
           nes.progressImage = null;

From 4d01b5c0f2595ae7e0bf9541616e0bbff972c0df Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sat, 23 Sep 2023 08:53:39 +1000
Subject: [PATCH 263/265] fix(ui): hide workflow and gallery checkboxes on
 image primitive

This node doesn't actually *save* the image, so these checkboxes do nothing on it.
---
 .../flow/nodes/Invocation/InvocationNodeFooter.tsx        | 2 +-
 .../web/src/features/nodes/hooks/useHasImageOutput.ts     | 8 ++++++--
 2 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx
index 6f4b719f74..ba1f7977ab 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx
@@ -25,8 +25,8 @@ const InvocationNodeFooter = ({ nodeId }: Props) => {
         justifyContent: 'space-between',
       }}
     >
-      {hasImageOutput && <EmbedWorkflowCheckbox nodeId={nodeId} />}
       <UseCacheCheckbox nodeId={nodeId} />
+      {hasImageOutput && <EmbedWorkflowCheckbox nodeId={nodeId} />}
       {hasImageOutput && <SaveToGalleryCheckbox nodeId={nodeId} />}
     </Flex>
   );
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useHasImageOutput.ts b/invokeai/frontend/web/src/features/nodes/hooks/useHasImageOutput.ts
index 0976ededd1..111e48a45f 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useHasImageOutput.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useHasImageOutput.ts
@@ -17,8 +17,12 @@ export const useHasImageOutput = (nodeId: string) => {
           if (!isInvocationNode(node)) {
             return false;
           }
-          return some(node.data.outputs, (output) =>
-            IMAGE_FIELDS.includes(output.type)
+          return some(
+            node.data.outputs,
+            (output) =>
+              IMAGE_FIELDS.includes(output.type) &&
+              // the image primitive node does not actually save the image, do not show the image-saving checkboxes
+              node.data.type !== 'image'
           );
         },
         defaultSelectorOptions

From cba31efd78d84420ffbea49330421e41332602b9 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sat, 23 Sep 2023 09:18:38 +1000
Subject: [PATCH 264/265] fix(ui): do not process gallery logic for `image`
 primitive node

---
 .../listeners/socketio/socketInvocationComplete.ts             | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
index df07f84416..7e918410a7 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
@@ -17,7 +17,8 @@ import {
 } from 'services/events/actions';
 import { startAppListening } from '../..';
 
-const nodeDenylist = ['load_image'];
+// These nodes output an image, but do not actually *save* an image, so we don't want to handle the gallery logic on them
+const nodeDenylist = ['load_image', 'image'];
 
 export const addInvocationCompleteEventListener = () => {
   startAppListening({

From d16583ad1cb5a58cd3c2b6bf59325a3ab2bfaf1a Mon Sep 17 00:00:00 2001
From: Wubbbi <clari.skyrim63@gmail.com>
Date: Fri, 22 Sep 2023 16:11:35 +0200
Subject: [PATCH 265/265] Unpin Safetensors dependencies, safeguard against
 breaking changes

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index c2a9bae494..21cda5eebd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -72,7 +72,7 @@ dependencies = [
   "realesrgan",
   "requests~=2.28.2",
   "rich~=13.3",
-  "safetensors==0.3.1",
+  "safetensors~=0.3.1",
   "scikit-image~=0.21.0",
   "semver~=3.0.1",
   "send2trash",