diff --git a/invokeai/app/api/routers/images.py b/invokeai/app/api/routers/images.py index 21fd09e051..692dc7fd21 100644 --- a/invokeai/app/api/routers/images.py +++ b/invokeai/app/api/routers/images.py @@ -5,7 +5,7 @@ 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 pydantic import BaseModel +from pydantic import BaseModel, Field from invokeai.app.invocations.metadata import ImageMetadata from invokeai.app.models.image import ImageCategory, ResourceOrigin @@ -19,6 +19,7 @@ from ..dependencies import ApiDependencies images_router = APIRouter(prefix="/v1/images", tags=["images"]) + # images are immutable; set a high max-age IMAGE_MAX_AGE = 31536000 @@ -286,3 +287,41 @@ async def delete_images_from_list( return DeleteImagesFromListResult(deleted_images=deleted_images) except Exception as e: raise HTTPException(status_code=500, detail="Failed to delete images") + + +class ImagesUpdatedFromListResult(BaseModel): + updated_image_names: list[str] = Field(description="The image names that were updated") + + +@images_router.post("/star", operation_id="star_images_in_list", response_model=ImagesUpdatedFromListResult) +async def star_images_in_list( + image_names: list[str] = Body(description="The list of names of images to star", embed=True), +) -> ImagesUpdatedFromListResult: + try: + updated_image_names: list[str] = [] + for image_name in image_names: + try: + ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=True)) + updated_image_names.append(image_name) + except: + pass + return ImagesUpdatedFromListResult(updated_image_names=updated_image_names) + except Exception as e: + raise HTTPException(status_code=500, detail="Failed to star images") + + +@images_router.post("/unstar", operation_id="unstar_images_in_list", response_model=ImagesUpdatedFromListResult) +async def unstar_images_in_list( + image_names: list[str] = Body(description="The list of names of images to unstar", embed=True), +) -> ImagesUpdatedFromListResult: + try: + updated_image_names: list[str] = [] + for image_name in image_names: + try: + ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=False)) + updated_image_names.append(image_name) + except: + pass + return ImagesUpdatedFromListResult(updated_image_names=updated_image_names) + except Exception as e: + raise HTTPException(status_code=500, detail="Failed to unstar images") diff --git a/invokeai/app/api_app.py b/invokeai/app/api_app.py index 6b875d37ce..20b2781ef0 100644 --- a/invokeai/app/api_app.py +++ b/invokeai/app/api_app.py @@ -38,7 +38,7 @@ 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 +from .invocations.baseinvocation import BaseInvocation, _InputField, _OutputField, UIConfigBase import torch @@ -134,6 +134,11 @@ def custom_openapi(): # This could break in some cases, figure out a better way to do it output_type_titles[schema_key] = output_schema["title"] + # Add Node Editor UI helper schemas + ui_config_schemas = schema([UIConfigBase, _InputField, _OutputField], ref_prefix="#/components/schemas/") + for schema_key, output_schema in ui_config_schemas["definitions"].items(): + openapi_schema["components"]["schemas"][schema_key] = output_schema + # Add a reference to the output type to additionalProperties of the invoker schema for invoker in all_invocations: invoker_name = invoker.__name__ diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py index 758ab2e787..363fa357ae 100644 --- a/invokeai/app/invocations/baseinvocation.py +++ b/invokeai/app/invocations/baseinvocation.py @@ -3,15 +3,366 @@ from __future__ import annotations from abc import ABC, abstractmethod +from enum import Enum from inspect import signature -from typing import TYPE_CHECKING, Dict, List, Literal, TypedDict, get_args, get_type_hints +from typing import ( + TYPE_CHECKING, + AbstractSet, + Any, + Callable, + ClassVar, + Mapping, + Optional, + Type, + TypeVar, + Union, + get_args, + get_type_hints, +) -from pydantic import BaseConfig, BaseModel, Field +from pydantic import BaseModel, Field +from pydantic.fields import Undefined +from pydantic.typing import NoArgAnyCallable if TYPE_CHECKING: from ..services.invocation_services import InvocationServices +class FieldDescriptions: + denoising_start = "When to start denoising, expressed a percentage of total steps" + denoising_end = "When to stop denoising, expressed a percentage of total steps" + cfg_scale = "Classifier-Free Guidance scale" + scheduler = "Scheduler to use during inference" + positive_cond = "Positive conditioning tensor" + negative_cond = "Negative conditioning tensor" + noise = "Noise tensor" + clip = "CLIP (tokenizer, text encoder, LoRAs) and skipped layer count" + unet = "UNet (scheduler, LoRAs)" + vae = "VAE" + cond = "Conditioning tensor" + controlnet_model = "ControlNet model to load" + vae_model = "VAE model to load" + lora_model = "LoRA model to load" + main_model = "Main model (UNet, VAE, CLIP) to load" + sdxl_main_model = "SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load" + sdxl_refiner_model = "SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load" + onnx_main_model = "ONNX Main model (UNet, VAE, CLIP) to load" + lora_weight = "The weight at which the LoRA is applied to each model" + compel_prompt = "Prompt to be parsed by Compel to create a conditioning tensor" + raw_prompt = "Raw prompt text (no parsing)" + sdxl_aesthetic = "The aesthetic score to apply to the conditioning tensor" + skipped_layers = "Number of layers to skip in text encoder" + seed = "Seed for random number generation" + steps = "Number of steps to run" + width = "Width of output (px)" + height = "Height of output (px)" + control = "ControlNet(s) to apply" + denoised_latents = "Denoised latents tensor" + latents = "Latents tensor" + strength = "Strength of denoising (proportional to steps)" + core_metadata = "Optional core metadata to be written to image" + interp_mode = "Interpolation mode" + torch_antialias = "Whether or not to apply antialiasing (bilinear or bicubic only)" + fp32 = "Whether or not to use full float32 precision" + precision = "Precision to use" + tiled = "Processing using overlapping tiles (reduce memory consumption)" + detect_res = "Pixel resolution for detection" + image_res = "Pixel resolution for output image" + safe_mode = "Whether or not to use safe mode" + scribble_mode = "Whether or not to use scribble mode" + scale_factor = "The factor by which to scale" + num_1 = "The first number" + num_2 = "The second number" + mask = "The mask to use for the operation" + + +class Input(str, Enum): + """ + The type of input a field accepts. + - `Input.Direct`: The field must have its value provided directly, when the invocation and field \ + are instantiated. + - `Input.Connection`: The field must have its value provided by a connection. + - `Input.Any`: The field may have its value provided either directly or by a connection. + """ + + Connection = "connection" + Direct = "direct" + Any = "any" + + +class UIType(str, Enum): + """ + Type hints for the UI. + 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. + """ + + # region Primitives + Integer = "integer" + Float = "float" + Boolean = "boolean" + String = "string" + Array = "array" + Image = "ImageField" + Latents = "LatentsField" + Conditioning = "ConditioningField" + Control = "ControlField" + Color = "ColorField" + ImageCollection = "ImageCollection" + ConditioningCollection = "ConditioningCollection" + ColorCollection = "ColorCollection" + LatentsCollection = "LatentsCollection" + IntegerCollection = "IntegerCollection" + FloatCollection = "FloatCollection" + StringCollection = "StringCollection" + BooleanCollection = "BooleanCollection" + # endregion + + # region Models + MainModel = "MainModelField" + SDXLMainModel = "SDXLMainModelField" + SDXLRefinerModel = "SDXLRefinerModelField" + ONNXModel = "ONNXModelField" + VaeModel = "VaeModelField" + LoRAModel = "LoRAModelField" + ControlNetModel = "ControlNetModelField" + UNet = "UNetField" + Vae = "VaeField" + CLIP = "ClipField" + # endregion + + # region Iterate/Collect + Collection = "Collection" + CollectionItem = "CollectionItem" + # endregion + + # region Misc + FilePath = "FilePath" + Enum = "enum" + # endregion + + +class UIComponent(str, Enum): + """ + The type of UI component to use for a field, used to override the default components, which are \ + inferred from the field type. + """ + + None_ = "none" + Textarea = "textarea" + Slider = "slider" + + +class _InputField(BaseModel): + """ + *DO NOT USE* + This helper class is used to tell the client about our custom field attributes via OpenAPI + schema generation, and Typescript type generation from that schema. It serves no functional + purpose in the backend. + """ + + input: Input + ui_hidden: bool + ui_type: Optional[UIType] + ui_component: Optional[UIComponent] + + +class _OutputField(BaseModel): + """ + *DO NOT USE* + This helper class is used to tell the client about our custom field attributes via OpenAPI + schema generation, and Typescript type generation from that schema. It serves no functional + purpose in the backend. + """ + + ui_hidden: bool + ui_type: Optional[UIType] + + +def InputField( + *args: Any, + default: Any = Undefined, + default_factory: Optional[NoArgAnyCallable] = None, + alias: Optional[str] = None, + title: Optional[str] = None, + description: Optional[str] = None, + exclude: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None, + include: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None, + const: Optional[bool] = None, + gt: Optional[float] = None, + ge: Optional[float] = None, + lt: Optional[float] = None, + le: Optional[float] = None, + multiple_of: Optional[float] = None, + allow_inf_nan: Optional[bool] = None, + max_digits: Optional[int] = None, + decimal_places: Optional[int] = None, + min_items: Optional[int] = None, + max_items: Optional[int] = None, + unique_items: Optional[bool] = None, + min_length: Optional[int] = None, + max_length: Optional[int] = None, + allow_mutation: bool = True, + regex: Optional[str] = None, + discriminator: Optional[str] = None, + repr: bool = True, + input: Input = Input.Any, + ui_type: Optional[UIType] = None, + ui_component: Optional[UIComponent] = None, + ui_hidden: bool = False, + **kwargs: Any, +) -> Any: + """ + Creates an input field for an invocation. + + This is a wrapper for Pydantic's [Field](https://docs.pydantic.dev/1.10/usage/schema/#field-customization) \ + that adds a few extra parameters to support graph execution and the node editor UI. + + :param Input input: [Input.Any] The kind of input this field requires. \ + `Input.Direct` means a value must be provided on instantiation. \ + `Input.Connection` means the value must be provided by a connection. \ + `Input.Any` means either will do. + + :param UIType ui_type: [None] Optionally provides an extra type hint for the UI. \ + In some situations, the field's type is not enough to infer the correct UI type. \ + For example, model selection fields should render a dropdown UI component to select a model. \ + Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \ + `MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \ + `UIType.SDXLMainModelField` to indicate that the field is an SDXL main model field. + + :param UIComponent ui_component: [None] Optionally specifies a specific component to use in the UI. \ + The UI will always render a suitable component, but sometimes you want something different than the default. \ + For example, a `string` field will default to a single-line input, but you may want a multi-line textarea instead. \ + For this case, you could provide `UIComponent.Textarea`. + + : param bool ui_hidden: [False] Specifies whether or not this field should be hidden in the UI. + """ + return Field( + *args, + default=default, + default_factory=default_factory, + alias=alias, + title=title, + description=description, + exclude=exclude, + include=include, + const=const, + gt=gt, + ge=ge, + lt=lt, + le=le, + multiple_of=multiple_of, + allow_inf_nan=allow_inf_nan, + max_digits=max_digits, + decimal_places=decimal_places, + min_items=min_items, + max_items=max_items, + unique_items=unique_items, + min_length=min_length, + max_length=max_length, + allow_mutation=allow_mutation, + regex=regex, + discriminator=discriminator, + repr=repr, + input=input, + ui_type=ui_type, + ui_component=ui_component, + ui_hidden=ui_hidden, + **kwargs, + ) + + +def OutputField( + *args: Any, + default: Any = Undefined, + default_factory: Optional[NoArgAnyCallable] = None, + alias: Optional[str] = None, + title: Optional[str] = None, + description: Optional[str] = None, + exclude: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None, + include: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None, + const: Optional[bool] = None, + gt: Optional[float] = None, + ge: Optional[float] = None, + lt: Optional[float] = None, + le: Optional[float] = None, + multiple_of: Optional[float] = None, + allow_inf_nan: Optional[bool] = None, + max_digits: Optional[int] = None, + decimal_places: Optional[int] = None, + min_items: Optional[int] = None, + max_items: Optional[int] = None, + unique_items: Optional[bool] = None, + min_length: Optional[int] = None, + max_length: Optional[int] = None, + allow_mutation: bool = True, + regex: Optional[str] = None, + discriminator: Optional[str] = None, + repr: bool = True, + ui_type: Optional[UIType] = None, + ui_hidden: bool = False, + **kwargs: Any, +) -> Any: + """ + Creates an output field for an invocation output. + + This is a wrapper for Pydantic's [Field](https://docs.pydantic.dev/1.10/usage/schema/#field-customization) \ + that adds a few extra parameters to support graph execution and the node editor UI. + + :param UIType ui_type: [None] Optionally provides an extra type hint for the UI. \ + In some situations, the field's type is not enough to infer the correct UI type. \ + For example, model selection fields should render a dropdown UI component to select a model. \ + Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \ + `MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \ + `UIType.SDXLMainModelField` to indicate that the field is an SDXL main model field. + + : param bool ui_hidden: [False] Specifies whether or not this field should be hidden in the UI. \ + """ + return Field( + *args, + default=default, + default_factory=default_factory, + alias=alias, + title=title, + description=description, + exclude=exclude, + include=include, + const=const, + gt=gt, + ge=ge, + lt=lt, + le=le, + multiple_of=multiple_of, + allow_inf_nan=allow_inf_nan, + max_digits=max_digits, + decimal_places=decimal_places, + min_items=min_items, + max_items=max_items, + unique_items=unique_items, + min_length=min_length, + max_length=max_length, + allow_mutation=allow_mutation, + regex=regex, + discriminator=discriminator, + repr=repr, + ui_type=ui_type, + ui_hidden=ui_hidden, + **kwargs, + ) + + +class UIConfigBase(BaseModel): + """ + Provides additional node configuration to the UI. + This is used internally by the @tags and @title decorator logic. You probably want to use those + decorators, though you may add this class to a node definition to specify the title and tags. + """ + + tags: Optional[list[str]] = Field(default_factory=None, description="The tags to display in the UI") + title: Optional[str] = Field(default=None, description="The display name of the node") + + class InvocationContext: services: InvocationServices graph_execution_state_id: str @@ -39,6 +390,20 @@ class BaseInvocationOutput(BaseModel): return tuple(subclasses) +class RequiredConnectionException(Exception): + """Raised when an field which requires a connection did not receive a value.""" + + def __init__(self, node_id: str, field_name: str): + super().__init__(f"Node {node_id} missing connections for field {field_name}") + + +class MissingInputException(Exception): + """Raised when an field which requires some input, but did not receive a value.""" + + def __init__(self, node_id: str, field_name: str): + super().__init__(f"Node {node_id} missing value or connection for field {field_name}") + + class BaseInvocation(ABC, BaseModel): """A node to process inputs and produce outputs. May use dependency injection in __init__ to receive providers. @@ -76,70 +441,81 @@ class BaseInvocation(ABC, BaseModel): def get_output_type(cls): return signature(cls.invoke).return_annotation + class Config: + @staticmethod + def schema_extra(schema: dict[str, Any], model_class: Type[BaseModel]) -> None: + uiconfig = getattr(model_class, "UIConfig", None) + if uiconfig and hasattr(uiconfig, "title"): + schema["title"] = uiconfig.title + if uiconfig and hasattr(uiconfig, "tags"): + schema["tags"] = uiconfig.tags + @abstractmethod def invoke(self, context: InvocationContext) -> BaseInvocationOutput: """Invoke with provided context and return outputs.""" pass - # fmt: off - id: str = Field(description="The id of this node. Must be unique among all nodes.") - is_intermediate: bool = Field(default=False, description="Whether or not this node is an intermediate node.") - # fmt: on + def __init__(self, **data): + # nodes may have required fields, that can accept input from connections + # on instantiation of the model, we need to exclude these from validation + restore = dict() + try: + field_names = list(self.__fields__.keys()) + for field_name in field_names: + # if the field is required and may get its value from a connection, exclude it from validation + field = self.__fields__[field_name] + _input = field.field_info.extra.get("input", None) + if _input in [Input.Connection, Input.Any] and field.required: + if field_name not in data: + restore[field_name] = self.__fields__.pop(field_name) + # instantiate the node, which will validate the data + super().__init__(**data) + finally: + # restore the removed fields + for field_name, field in restore.items(): + self.__fields__[field_name] = field + + def invoke_internal(self, context: InvocationContext) -> BaseInvocationOutput: + for field_name, field in self.__fields__.items(): + _input = field.field_info.extra.get("input", None) + if field.required and not hasattr(self, field_name): + if _input == Input.Connection: + raise RequiredConnectionException(self.__fields__["type"].default, field_name) + elif _input == Input.Any: + raise MissingInputException(self.__fields__["type"].default, field_name) + return self.invoke(context) + + id: str = InputField(description="The id of this node. Must be unique among all nodes.") + is_intermediate: bool = InputField( + default=False, description="Whether or not this node is an intermediate node.", input=Input.Direct + ) + UIConfig: ClassVar[Type[UIConfigBase]] -# TODO: figure out a better way to provide these hints -# TODO: when we can upgrade to python 3.11, we can use the`NotRequired` type instead of `total=False` -class UIConfig(TypedDict, total=False): - type_hints: Dict[ - str, - Literal[ - "integer", - "float", - "boolean", - "string", - "enum", - "image", - "latents", - "model", - "control", - "image_collection", - "vae_model", - "lora_model", - ], - ] - tags: List[str] - title: str +T = TypeVar("T", bound=BaseInvocation) -class CustomisedSchemaExtra(TypedDict): - ui: UIConfig +def title(title: str) -> Callable[[Type[T]], Type[T]]: + """Adds a title to the invocation. Use this to override the default title generation, which is based on the class name.""" + + def wrapper(cls: Type[T]) -> Type[T]: + uiconf_name = cls.__qualname__ + ".UIConfig" + if not hasattr(cls, "UIConfig") or cls.UIConfig.__qualname__ != uiconf_name: + cls.UIConfig = type(uiconf_name, (UIConfigBase,), dict()) + cls.UIConfig.title = title + return cls + + return wrapper -class InvocationConfig(BaseConfig): - """Customizes pydantic's BaseModel.Config class for use by Invocations. +def tags(*tags: str) -> Callable[[Type[T]], Type[T]]: + """Adds tags to the invocation. Use this to improve the streamline finding the invocation in the UI.""" - Provide `schema_extra` a `ui` dict to add hints for generated UIs. + def wrapper(cls: Type[T]) -> Type[T]: + uiconf_name = cls.__qualname__ + ".UIConfig" + if not hasattr(cls, "UIConfig") or cls.UIConfig.__qualname__ != uiconf_name: + cls.UIConfig = type(uiconf_name, (UIConfigBase,), dict()) + cls.UIConfig.tags = list(tags) + return cls - `tags` - - A list of strings, used to categorise invocations. - - `type_hints` - - A dict of field types which override the types in the invocation definition. - - Each key should be the name of one of the invocation's fields. - - Each value should be one of the valid types: - - `integer`, `float`, `boolean`, `string`, `enum`, `image`, `latents`, `model` - - ```python - class Config(InvocationConfig): - schema_extra = { - "ui": { - "tags": ["stable-diffusion", "image"], - "type_hints": { - "initial_image": "image", - }, - }, - } - ``` - """ - - schema_extra: CustomisedSchemaExtra + return wrapper diff --git a/invokeai/app/invocations/collections.py b/invokeai/app/invocations/collections.py index 01c003da96..fc7aec3e01 100644 --- a/invokeai/app/invocations/collections.py +++ b/invokeai/app/invocations/collections.py @@ -3,58 +3,25 @@ from typing import Literal import numpy as np -from pydantic import Field, validator +from pydantic import validator -from invokeai.app.models.image import ImageField +from invokeai.app.invocations.primitives import ImageCollectionOutput, ImageField, IntegerCollectionOutput from invokeai.app.util.misc import SEED_MAX, get_random_seed -from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext, UIConfig - - -class IntCollectionOutput(BaseInvocationOutput): - """A collection of integers""" - - type: Literal["int_collection"] = "int_collection" - - # Outputs - collection: list[int] = Field(default=[], description="The int collection") - - -class FloatCollectionOutput(BaseInvocationOutput): - """A collection of floats""" - - type: Literal["float_collection"] = "float_collection" - - # Outputs - collection: list[float] = Field(default=[], description="The float collection") - - -class ImageCollectionOutput(BaseInvocationOutput): - """A collection of images""" - - type: Literal["image_collection"] = "image_collection" - - # Outputs - collection: list[ImageField] = Field(default=[], description="The output images") - - class Config: - schema_extra = {"required": ["type", "collection"]} +from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIType, tags, title +@title("Integer Range") +@tags("collection", "integer", "range") class RangeInvocation(BaseInvocation): """Creates a range of numbers from start to stop with step""" type: Literal["range"] = "range" # Inputs - start: int = Field(default=0, description="The start of the range") - stop: int = Field(default=10, description="The stop of the range") - step: int = Field(default=1, description="The step of the range") - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Range", "tags": ["range", "integer", "collection"]}, - } + start: int = InputField(default=0, description="The start of the range") + stop: int = InputField(default=10, description="The stop of the range") + step: int = InputField(default=1, description="The step of the range") @validator("stop") def stop_gt_start(cls, v, values): @@ -62,76 +29,44 @@ class RangeInvocation(BaseInvocation): raise ValueError("stop must be greater than start") return v - def invoke(self, context: InvocationContext) -> IntCollectionOutput: - return IntCollectionOutput(collection=list(range(self.start, self.stop, self.step))) + def invoke(self, context: InvocationContext) -> IntegerCollectionOutput: + return IntegerCollectionOutput(collection=list(range(self.start, self.stop, self.step))) +@title("Integer Range of Size") +@tags("range", "integer", "size", "collection") class RangeOfSizeInvocation(BaseInvocation): """Creates a range from start to start + size with step""" type: Literal["range_of_size"] = "range_of_size" # Inputs - start: int = Field(default=0, description="The start of the range") - size: int = Field(default=1, description="The number of values") - step: int = Field(default=1, description="The step of the range") + start: int = InputField(default=0, description="The start of the range") + size: int = InputField(default=1, description="The number of values") + step: int = InputField(default=1, description="The step of the range") - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Sized Range", "tags": ["range", "integer", "size", "collection"]}, - } - - def invoke(self, context: InvocationContext) -> IntCollectionOutput: - return IntCollectionOutput(collection=list(range(self.start, self.start + self.size, self.step))) + def invoke(self, context: InvocationContext) -> IntegerCollectionOutput: + return IntegerCollectionOutput(collection=list(range(self.start, self.start + self.size, self.step))) +@title("Random Range") +@tags("range", "integer", "random", "collection") class RandomRangeInvocation(BaseInvocation): """Creates a collection of random numbers""" type: Literal["random_range"] = "random_range" # Inputs - low: int = Field(default=0, description="The inclusive low value") - high: int = Field(default=np.iinfo(np.int32).max, description="The exclusive high value") - size: int = Field(default=1, description="The number of values to generate") - seed: int = Field( + low: int = InputField(default=0, description="The inclusive low value") + high: int = InputField(default=np.iinfo(np.int32).max, description="The exclusive high value") + size: int = InputField(default=1, description="The number of values to generate") + seed: int = InputField( ge=0, le=SEED_MAX, description="The seed for the RNG (omit for random)", default_factory=get_random_seed, ) - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Random Range", "tags": ["range", "integer", "random", "collection"]}, - } - - def invoke(self, context: InvocationContext) -> IntCollectionOutput: + def invoke(self, context: InvocationContext) -> IntegerCollectionOutput: rng = np.random.default_rng(self.seed) - return IntCollectionOutput(collection=list(rng.integers(low=self.low, high=self.high, size=self.size))) - - -class ImageCollectionInvocation(BaseInvocation): - """Load a collection of images and provide it as output.""" - - # fmt: off - type: Literal["image_collection"] = "image_collection" - - # Inputs - images: list[ImageField] = Field( - default=[], description="The image collection to load" - ) - # fmt: on - - def invoke(self, context: InvocationContext) -> ImageCollectionOutput: - return ImageCollectionOutput(collection=self.images) - - class Config(InvocationConfig): - schema_extra = { - "ui": { - "type_hints": { - "title": "Image Collection", - "images": "image_collection", - } - }, - } + return IntegerCollectionOutput(collection=list(rng.integers(low=self.low, high=self.high, size=self.size))) diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py index 86565366d9..0be33ce701 100644 --- a/invokeai/app/invocations/compel.py +++ b/invokeai/app/invocations/compel.py @@ -1,32 +1,35 @@ -from typing import Literal, Optional, Union, List, Annotated -from pydantic import BaseModel, Field import re - -from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext, InvocationConfig -from .model import ClipField - -from ...backend.util.devices import torch_dtype -from ...backend.stable_diffusion.diffusion import InvokeAIDiffuserComponent -from ...backend.model_management import BaseModelType, ModelType, SubModelType, ModelPatcher +from dataclasses import dataclass +from typing import List, Literal, Union import torch from compel import Compel, ReturnedEmbeddingsType from compel.prompt_parser import Blend, Conjunction, CrossAttentionControlSubstitute, FlattenedPrompt, Fragment -from ...backend.util.devices import torch_dtype -from ...backend.model_management import ModelType -from ...backend.model_management.models import ModelNotFoundException +from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput + +from invokeai.backend.stable_diffusion.diffusion.shared_invokeai_diffusion import ( + BasicConditioningInfo, + SDXLConditioningInfo, +) + +from ...backend.model_management import ModelPatcher, ModelType from ...backend.model_management.lora import ModelPatcher -from ...backend.stable_diffusion import InvokeAIDiffuserComponent, BasicConditioningInfo, SDXLConditioningInfo -from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext +from ...backend.model_management.models import ModelNotFoundException +from ...backend.stable_diffusion.diffusion import InvokeAIDiffuserComponent +from ...backend.util.devices import torch_dtype +from .baseinvocation import ( + BaseInvocation, + BaseInvocationOutput, + FieldDescriptions, + Input, + InputField, + InvocationContext, + OutputField, + UIComponent, + tags, + title, +) from .model import ClipField -from dataclasses import dataclass - - -class ConditioningField(BaseModel): - conditioning_name: Optional[str] = Field(default=None, description="The name of conditioning data") - - class Config: - schema_extra = {"required": ["conditioning_name"]} @dataclass @@ -41,32 +44,26 @@ class ConditioningFieldData: # PerpNeg = "perp_neg" -class CompelOutput(BaseInvocationOutput): - """Compel parser output""" - - # fmt: off - type: Literal["compel_output"] = "compel_output" - - conditioning: ConditioningField = Field(default=None, description="Conditioning") - # fmt: on - - +@title("Compel Prompt") +@tags("prompt", "compel") class CompelInvocation(BaseInvocation): """Parse prompt using compel package to conditioning.""" type: Literal["compel"] = "compel" - prompt: str = Field(default="", description="Prompt") - clip: ClipField = Field(None, description="Clip to use") - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Prompt (Compel)", "tags": ["prompt", "compel"], "type_hints": {"model": "model"}}, - } + prompt: str = InputField( + default="", + description=FieldDescriptions.compel_prompt, + ui_component=UIComponent.Textarea, + ) + clip: ClipField = InputField( + title="CLIP", + description=FieldDescriptions.clip, + input=Input.Connection, + ) @torch.no_grad() - def invoke(self, context: InvocationContext) -> CompelOutput: + def invoke(self, context: InvocationContext) -> ConditioningOutput: tokenizer_info = context.services.model_manager.get_model( **self.clip.tokenizer.dict(), context=context, @@ -149,7 +146,7 @@ class CompelInvocation(BaseInvocation): conditioning_name = f"{context.graph_execution_state_id}_{self.id}_conditioning" context.services.latents.save(conditioning_name, conditioning_data) - return CompelOutput( + return ConditioningOutput( conditioning=ConditioningField( conditioning_name=conditioning_name, ), @@ -270,30 +267,26 @@ class SDXLPromptInvocationBase: return c, c_pooled, ec +@title("SDXL Compel Prompt") +@tags("sdxl", "compel", "prompt") class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase): """Parse prompt using compel package to conditioning.""" type: Literal["sdxl_compel_prompt"] = "sdxl_compel_prompt" - prompt: str = Field(default="", description="Prompt") - style: str = Field(default="", description="Style prompt") - original_width: int = Field(1024, description="") - original_height: int = Field(1024, description="") - crop_top: int = Field(0, description="") - crop_left: int = Field(0, description="") - target_width: int = Field(1024, description="") - target_height: int = Field(1024, description="") - clip: ClipField = Field(None, description="Clip to use") - clip2: ClipField = Field(None, description="Clip2 to use") - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "SDXL Prompt (Compel)", "tags": ["prompt", "compel"], "type_hints": {"model": "model"}}, - } + prompt: str = InputField(default="", description=FieldDescriptions.compel_prompt, ui_component=UIComponent.Textarea) + style: str = InputField(default="", description=FieldDescriptions.compel_prompt, ui_component=UIComponent.Textarea) + original_width: int = InputField(default=1024, description="") + original_height: int = InputField(default=1024, description="") + crop_top: int = InputField(default=0, description="") + crop_left: int = InputField(default=0, description="") + target_width: int = InputField(default=1024, description="") + target_height: int = InputField(default=1024, description="") + clip: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection) + clip2: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection) @torch.no_grad() - def invoke(self, context: InvocationContext) -> CompelOutput: + def invoke(self, context: InvocationContext) -> ConditioningOutput: c1, c1_pooled, ec1 = self.run_clip_compel( context, self.clip, self.prompt, False, "lora_te1_", zero_on_empty=True ) @@ -326,38 +319,32 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase): conditioning_name = f"{context.graph_execution_state_id}_{self.id}_conditioning" context.services.latents.save(conditioning_name, conditioning_data) - return CompelOutput( + return ConditioningOutput( conditioning=ConditioningField( conditioning_name=conditioning_name, ), ) +@title("SDXL Refiner Compel Prompt") +@tags("sdxl", "compel", "prompt") class SDXLRefinerCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase): """Parse prompt using compel package to conditioning.""" type: Literal["sdxl_refiner_compel_prompt"] = "sdxl_refiner_compel_prompt" - style: str = Field(default="", description="Style prompt") # TODO: ? - original_width: int = Field(1024, description="") - original_height: int = Field(1024, description="") - crop_top: int = Field(0, description="") - crop_left: int = Field(0, description="") - aesthetic_score: float = Field(6.0, description="") - clip2: ClipField = Field(None, description="Clip to use") - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "SDXL Refiner Prompt (Compel)", - "tags": ["prompt", "compel"], - "type_hints": {"model": "model"}, - }, - } + style: str = InputField( + default="", description=FieldDescriptions.compel_prompt, ui_component=UIComponent.Textarea + ) # TODO: ? + original_width: int = InputField(default=1024, description="") + original_height: int = InputField(default=1024, description="") + crop_top: int = InputField(default=0, description="") + crop_left: int = InputField(default=0, description="") + aesthetic_score: float = InputField(default=6.0, description=FieldDescriptions.sdxl_aesthetic) + clip2: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection) @torch.no_grad() - def invoke(self, context: InvocationContext) -> CompelOutput: + def invoke(self, context: InvocationContext) -> ConditioningOutput: # TODO: if there will appear lora for refiner - write proper prefix c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True, "", zero_on_empty=False) @@ -380,7 +367,7 @@ class SDXLRefinerCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase conditioning_name = f"{context.graph_execution_state_id}_{self.id}_conditioning" context.services.latents.save(conditioning_name, conditioning_data) - return CompelOutput( + return ConditioningOutput( conditioning=ConditioningField( conditioning_name=conditioning_name, ), @@ -391,21 +378,18 @@ class ClipSkipInvocationOutput(BaseInvocationOutput): """Clip skip node output""" type: Literal["clip_skip_output"] = "clip_skip_output" - clip: ClipField = Field(None, description="Clip with skipped layers") + clip: ClipField = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP") +@title("CLIP Skip") +@tags("clipskip", "clip", "skip") class ClipSkipInvocation(BaseInvocation): """Skip layers in clip text_encoder model.""" type: Literal["clip_skip"] = "clip_skip" - clip: ClipField = Field(None, description="Clip to use") - skipped_layers: int = Field(0, description="Number of layers to skip in text_encoder") - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "CLIP Skip", "tags": ["clip", "skip"]}, - } + clip: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection, title="CLIP") + skipped_layers: int = InputField(default=0, description=FieldDescriptions.skipped_layers) def invoke(self, context: InvocationContext) -> ClipSkipInvocationOutput: self.clip.skipped_layers += self.skipped_layers diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py index d2b2d44526..811f767dee 100644 --- a/invokeai/app/invocations/controlnet_image_processors.py +++ b/invokeai/app/invocations/controlnet_image_processors.py @@ -26,79 +26,31 @@ 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, ModelType -from ..models.image import ImageCategory, ImageField, ResourceOrigin -from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext -from ..models.image import ImageOutput, PILInvocationConfig +from ..models.image import ImageCategory, ResourceOrigin +from .baseinvocation import ( + BaseInvocation, + BaseInvocationOutput, + FieldDescriptions, + InputField, + Input, + InvocationContext, + OutputField, + UIType, + tags, + title, +) -CONTROLNET_DEFAULT_MODELS = [ - ########################################### - # lllyasviel sd v1.5, ControlNet v1.0 models - ############################################## - "lllyasviel/sd-controlnet-canny", - "lllyasviel/sd-controlnet-depth", - "lllyasviel/sd-controlnet-hed", - "lllyasviel/sd-controlnet-seg", - "lllyasviel/sd-controlnet-openpose", - "lllyasviel/sd-controlnet-scribble", - "lllyasviel/sd-controlnet-normal", - "lllyasviel/sd-controlnet-mlsd", - ############################################# - # lllyasviel sd v1.5, ControlNet v1.1 models - ############################################# - "lllyasviel/control_v11p_sd15_canny", - "lllyasviel/control_v11p_sd15_openpose", - "lllyasviel/control_v11p_sd15_seg", - # "lllyasviel/control_v11p_sd15_depth", # broken - "lllyasviel/control_v11f1p_sd15_depth", - "lllyasviel/control_v11p_sd15_normalbae", - "lllyasviel/control_v11p_sd15_scribble", - "lllyasviel/control_v11p_sd15_mlsd", - "lllyasviel/control_v11p_sd15_softedge", - "lllyasviel/control_v11p_sd15s2_lineart_anime", - "lllyasviel/control_v11p_sd15_lineart", - "lllyasviel/control_v11p_sd15_inpaint", - # "lllyasviel/control_v11u_sd15_tile", - # problem (temporary?) with huffingface "lllyasviel/control_v11u_sd15_tile", - # so for now replace "lllyasviel/control_v11f1e_sd15_tile", - "lllyasviel/control_v11e_sd15_shuffle", - "lllyasviel/control_v11e_sd15_ip2p", - "lllyasviel/control_v11f1e_sd15_tile", - ################################################# - # thibaud sd v2.1 models (ControlNet v1.0? or v1.1? - ################################################## - "thibaud/controlnet-sd21-openpose-diffusers", - "thibaud/controlnet-sd21-canny-diffusers", - "thibaud/controlnet-sd21-depth-diffusers", - "thibaud/controlnet-sd21-scribble-diffusers", - "thibaud/controlnet-sd21-hed-diffusers", - "thibaud/controlnet-sd21-zoedepth-diffusers", - "thibaud/controlnet-sd21-color-diffusers", - "thibaud/controlnet-sd21-openposev2-diffusers", - "thibaud/controlnet-sd21-lineart-diffusers", - "thibaud/controlnet-sd21-normalbae-diffusers", - "thibaud/controlnet-sd21-ade20k-diffusers", - ############################################## - # ControlNetMediaPipeface, ControlNet v1.1 - ############################################## - # ["CrucibleAI/ControlNetMediaPipeFace", "diffusion_sd15"], # SD 1.5 - # diffusion_sd15 needs to be passed to from_pretrained() as subfolder arg - # hacked t2l to split to model & subfolder if format is "model,subfolder" - "CrucibleAI/ControlNetMediaPipeFace,diffusion_sd15", # SD 1.5 - "CrucibleAI/ControlNetMediaPipeFace", # SD 2.1? -] -CONTROLNET_NAME_VALUES = Literal[tuple(CONTROLNET_DEFAULT_MODELS)] -CONTROLNET_MODE_VALUES = Literal[tuple(["balanced", "more_prompt", "more_control", "unbalanced"])] +CONTROLNET_MODE_VALUES = Literal["balanced", "more_prompt", "more_control", "unbalanced"] CONTROLNET_RESIZE_VALUES = Literal[ - tuple( - [ - "just_resize", - "crop_resize", - "fill_resize", - "just_resize_simple", - ] - ) + "just_resize", + "crop_resize", + "fill_resize", + "just_resize_simple", ] @@ -110,9 +62,8 @@ class ControlNetModelField(BaseModel): class ControlField(BaseModel): - image: ImageField = Field(default=None, description="The control image") - control_model: Optional[ControlNetModelField] = Field(default=None, description="The ControlNet model to use") - # control_weight: Optional[float] = Field(default=1, description="weight given to controlnet") + 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)" @@ -135,60 +86,39 @@ class ControlField(BaseModel): raise ValueError("Control weights must be within -1 to 2 range") return v - class Config: - schema_extra = { - "required": ["image", "control_model", "control_weight", "begin_step_percent", "end_step_percent"], - "ui": { - "type_hints": { - "control_weight": "float", - "control_model": "controlnet_model", - # "control_weight": "number", - } - }, - } - class ControlOutput(BaseInvocationOutput): """node output for ControlNet info""" - # fmt: off type: Literal["control_output"] = "control_output" - control: ControlField = Field(default=None, description="The control info") - # fmt: on + + # Outputs + control: ControlField = OutputField(description=FieldDescriptions.control) +@title("ControlNet") +@tags("controlnet") class ControlNetInvocation(BaseInvocation): """Collects ControlNet info to pass to other nodes""" - # fmt: off type: Literal["controlnet"] = "controlnet" - # Inputs - image: ImageField = Field(default=None, description="The control image") - control_model: ControlNetModelField = Field(default="lllyasviel/sd-controlnet-canny", - description="control model used") - control_weight: Union[float, List[float]] = Field(default=1.0, description="The weight given to the ControlNet") - begin_step_percent: float = Field(default=0, ge=-1, le=2, - 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 used") - resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode used") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "ControlNet", - "tags": ["controlnet", "latents"], - "type_hints": { - "model": "model", - "control": "control", - # "cfg_scale": "float", - "cfg_scale": "number", - "control_weight": "float", - }, - }, - } + # 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( @@ -204,19 +134,13 @@ class ControlNetInvocation(BaseInvocation): ) -class ImageProcessorInvocation(BaseInvocation, PILInvocationConfig): +class ImageProcessorInvocation(BaseInvocation): """Base class for invocations that preprocess images for ControlNet""" - # fmt: off type: Literal["image_processor"] = "image_processor" - # Inputs - image: ImageField = Field(default=None, description="The image to process") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Image Processor", "tags": ["image", "processor"]}, - } + # Inputs + image: ImageField = InputField(description="The image to process") def run_processor(self, image): # superclass just passes through image without processing @@ -255,20 +179,20 @@ class ImageProcessorInvocation(BaseInvocation, PILInvocationConfig): ) -class CannyImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Canny Processor") +@tags("controlnet", "canny") +class CannyImageProcessorInvocation(ImageProcessorInvocation): """Canny edge detection for ControlNet""" - # fmt: off type: Literal["canny_image_processor"] = "canny_image_processor" - # Input - low_threshold: int = Field(default=100, ge=0, le=255, description="The low threshold of the Canny pixel gradient (0-255)") - high_threshold: int = Field(default=200, ge=0, le=255, description="The high threshold of the Canny pixel gradient (0-255)") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Canny Processor", "tags": ["controlnet", "canny", "image", "processor"]}, - } + # Input + low_threshold: int = InputField( + default=100, ge=0, le=255, description="The low threshold of the Canny pixel gradient (0-255)" + ) + high_threshold: int = InputField( + default=200, ge=0, le=255, description="The high threshold of the Canny pixel gradient (0-255)" + ) def run_processor(self, image): canny_processor = CannyDetector() @@ -276,23 +200,19 @@ class CannyImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfi return processed_image -class HedImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("HED (softedge) Processor") +@tags("controlnet", "hed", "softedge") +class HedImageProcessorInvocation(ImageProcessorInvocation): """Applies HED edge detection to image""" - # fmt: off type: Literal["hed_image_processor"] = "hed_image_processor" - # Inputs - detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection") - image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image") - # safe not supported in controlnet_aux v0.0.3 - # safe: bool = Field(default=False, description="whether to use safe mode") - scribble: bool = Field(default=False, description="Whether to use scribble mode") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Softedge(HED) Processor", "tags": ["controlnet", "softedge", "hed", "image", "processor"]}, - } + # Inputs + detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res) + image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res) + # safe not supported in controlnet_aux v0.0.3 + # safe: bool = InputField(default=False, description=FieldDescriptions.safe_mode) + scribble: bool = InputField(default=False, description=FieldDescriptions.scribble_mode) def run_processor(self, image): hed_processor = HEDdetector.from_pretrained("lllyasviel/Annotators") @@ -307,21 +227,17 @@ class HedImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig) return processed_image -class LineartImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Lineart Processor") +@tags("controlnet", "lineart") +class LineartImageProcessorInvocation(ImageProcessorInvocation): """Applies line art processing to image""" - # fmt: off type: Literal["lineart_image_processor"] = "lineart_image_processor" - # Inputs - detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection") - image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image") - coarse: bool = Field(default=False, description="Whether to use coarse mode") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Lineart Processor", "tags": ["controlnet", "lineart", "image", "processor"]}, - } + # Inputs + detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res) + image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res) + coarse: bool = InputField(default=False, description="Whether to use coarse mode") def run_processor(self, image): lineart_processor = LineartDetector.from_pretrained("lllyasviel/Annotators") @@ -331,23 +247,16 @@ class LineartImageProcessorInvocation(ImageProcessorInvocation, PILInvocationCon return processed_image -class LineartAnimeImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Lineart Anime Processor") +@tags("controlnet", "lineart", "anime") +class LineartAnimeImageProcessorInvocation(ImageProcessorInvocation): """Applies line art anime processing to image""" - # fmt: off type: Literal["lineart_anime_image_processor"] = "lineart_anime_image_processor" - # Inputs - detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection") - image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Lineart Anime Processor", - "tags": ["controlnet", "lineart", "anime", "image", "processor"], - }, - } + # Inputs + detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res) + image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res) def run_processor(self, image): processor = LineartAnimeDetector.from_pretrained("lllyasviel/Annotators") @@ -359,21 +268,17 @@ class LineartAnimeImageProcessorInvocation(ImageProcessorInvocation, PILInvocati return processed_image -class OpenposeImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Openpose Processor") +@tags("controlnet", "openpose", "pose") +class OpenposeImageProcessorInvocation(ImageProcessorInvocation): """Applies Openpose processing to image""" - # fmt: off type: Literal["openpose_image_processor"] = "openpose_image_processor" - # Inputs - hand_and_face: bool = Field(default=False, description="Whether to use hands and face mode") - detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection") - image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Openpose Processor", "tags": ["controlnet", "openpose", "image", "processor"]}, - } + # Inputs + hand_and_face: bool = InputField(default=False, description="Whether to use hands and face mode") + detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res) + image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res) def run_processor(self, image): openpose_processor = OpenposeDetector.from_pretrained("lllyasviel/Annotators") @@ -386,22 +291,18 @@ class OpenposeImageProcessorInvocation(ImageProcessorInvocation, PILInvocationCo return processed_image -class MidasDepthImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Midas (Depth) Processor") +@tags("controlnet", "midas", "depth") +class MidasDepthImageProcessorInvocation(ImageProcessorInvocation): """Applies Midas depth processing to image""" - # fmt: off type: Literal["midas_depth_image_processor"] = "midas_depth_image_processor" - # Inputs - a_mult: float = Field(default=2.0, ge=0, description="Midas parameter `a_mult` (a = a_mult * PI)") - bg_th: float = Field(default=0.1, ge=0, description="Midas parameter `bg_th`") - # depth_and_normal not supported in controlnet_aux v0.0.3 - # depth_and_normal: bool = Field(default=False, description="whether to use depth and normal mode") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Midas (Depth) Processor", "tags": ["controlnet", "midas", "depth", "image", "processor"]}, - } + # Inputs + a_mult: float = InputField(default=2.0, ge=0, description="Midas parameter `a_mult` (a = a_mult * PI)") + bg_th: float = InputField(default=0.1, ge=0, description="Midas parameter `bg_th`") + # depth_and_normal not supported in controlnet_aux v0.0.3 + # depth_and_normal: bool = InputField(default=False, description="whether to use depth and normal mode") def run_processor(self, image): midas_processor = MidasDetector.from_pretrained("lllyasviel/Annotators") @@ -415,20 +316,16 @@ class MidasDepthImageProcessorInvocation(ImageProcessorInvocation, PILInvocation return processed_image -class NormalbaeImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Normal BAE Processor") +@tags("controlnet", "normal", "bae") +class NormalbaeImageProcessorInvocation(ImageProcessorInvocation): """Applies NormalBae processing to image""" - # fmt: off type: Literal["normalbae_image_processor"] = "normalbae_image_processor" - # Inputs - detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection") - image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Normal BAE Processor", "tags": ["controlnet", "normal", "bae", "image", "processor"]}, - } + # Inputs + detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res) + image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res) def run_processor(self, image): normalbae_processor = NormalBaeDetector.from_pretrained("lllyasviel/Annotators") @@ -438,22 +335,18 @@ class NormalbaeImageProcessorInvocation(ImageProcessorInvocation, PILInvocationC return processed_image -class MlsdImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("MLSD Processor") +@tags("controlnet", "mlsd") +class MlsdImageProcessorInvocation(ImageProcessorInvocation): """Applies MLSD processing to image""" - # fmt: off type: Literal["mlsd_image_processor"] = "mlsd_image_processor" - # Inputs - detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection") - image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image") - thr_v: float = Field(default=0.1, ge=0, description="MLSD parameter `thr_v`") - thr_d: float = Field(default=0.1, ge=0, description="MLSD parameter `thr_d`") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "MLSD Processor", "tags": ["controlnet", "mlsd", "image", "processor"]}, - } + # Inputs + detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res) + image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res) + thr_v: float = InputField(default=0.1, ge=0, description="MLSD parameter `thr_v`") + thr_d: float = InputField(default=0.1, ge=0, description="MLSD parameter `thr_d`") def run_processor(self, image): mlsd_processor = MLSDdetector.from_pretrained("lllyasviel/Annotators") @@ -467,22 +360,18 @@ class MlsdImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig return processed_image -class PidiImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("PIDI Processor") +@tags("controlnet", "pidi") +class PidiImageProcessorInvocation(ImageProcessorInvocation): """Applies PIDI processing to image""" - # fmt: off type: Literal["pidi_image_processor"] = "pidi_image_processor" - # Inputs - detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection") - image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image") - safe: bool = Field(default=False, description="Whether to use safe mode") - scribble: bool = Field(default=False, description="Whether to use scribble mode") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "PIDI Processor", "tags": ["controlnet", "pidi", "image", "processor"]}, - } + # Inputs + detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res) + image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res) + safe: bool = InputField(default=False, description=FieldDescriptions.safe_mode) + scribble: bool = InputField(default=False, description=FieldDescriptions.scribble_mode) def run_processor(self, image): pidi_processor = PidiNetDetector.from_pretrained("lllyasviel/Annotators") @@ -496,26 +385,19 @@ class PidiImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig return processed_image -class ContentShuffleImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Content Shuffle Processor") +@tags("controlnet", "contentshuffle") +class ContentShuffleImageProcessorInvocation(ImageProcessorInvocation): """Applies content shuffle processing to image""" - # fmt: off type: Literal["content_shuffle_image_processor"] = "content_shuffle_image_processor" - # Inputs - detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection") - image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image") - h: Optional[int] = Field(default=512, ge=0, description="Content shuffle `h` parameter") - w: Optional[int] = Field(default=512, ge=0, description="Content shuffle `w` parameter") - f: Optional[int] = Field(default=256, ge=0, description="Content shuffle `f` parameter") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Content Shuffle Processor", - "tags": ["controlnet", "contentshuffle", "image", "processor"], - }, - } + # Inputs + detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res) + image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res) + h: Optional[int] = InputField(default=512, ge=0, description="Content shuffle `h` parameter") + w: Optional[int] = InputField(default=512, ge=0, description="Content shuffle `w` parameter") + f: Optional[int] = InputField(default=256, ge=0, description="Content shuffle `f` parameter") def run_processor(self, image): content_shuffle_processor = ContentShuffleDetector() @@ -531,17 +413,12 @@ class ContentShuffleImageProcessorInvocation(ImageProcessorInvocation, PILInvoca # should work with controlnet_aux >= 0.0.4 and timm <= 0.6.13 -class ZoeDepthImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Zoe (Depth) Processor") +@tags("controlnet", "zoe", "depth") +class ZoeDepthImageProcessorInvocation(ImageProcessorInvocation): """Applies Zoe depth processing to image""" - # fmt: off type: Literal["zoe_depth_image_processor"] = "zoe_depth_image_processor" - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Zoe (Depth) Processor", "tags": ["controlnet", "zoe", "depth", "image", "processor"]}, - } def run_processor(self, image): zoe_depth_processor = ZoeDetector.from_pretrained("lllyasviel/Annotators") @@ -549,20 +426,16 @@ class ZoeDepthImageProcessorInvocation(ImageProcessorInvocation, PILInvocationCo return processed_image -class MediapipeFaceProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Mediapipe Face Processor") +@tags("controlnet", "mediapipe", "face") +class MediapipeFaceProcessorInvocation(ImageProcessorInvocation): """Applies mediapipe face processing to image""" - # fmt: off type: Literal["mediapipe_face_processor"] = "mediapipe_face_processor" - # Inputs - max_faces: int = Field(default=1, ge=1, description="Maximum number of faces to detect") - min_confidence: float = Field(default=0.5, ge=0, le=1, description="Minimum confidence for face detection") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Mediapipe Processor", "tags": ["controlnet", "mediapipe", "image", "processor"]}, - } + # Inputs + max_faces: int = InputField(default=1, ge=1, description="Maximum number of faces to detect") + min_confidence: float = InputField(default=0.5, ge=0, le=1, description="Minimum confidence for face detection") def run_processor(self, image): # MediaPipeFaceDetector throws an error if image has alpha channel @@ -574,23 +447,19 @@ class MediapipeFaceProcessorInvocation(ImageProcessorInvocation, PILInvocationCo return processed_image -class LeresImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Leres (Depth) Processor") +@tags("controlnet", "leres", "depth") +class LeresImageProcessorInvocation(ImageProcessorInvocation): """Applies leres processing to image""" - # fmt: off type: Literal["leres_image_processor"] = "leres_image_processor" - # Inputs - thr_a: float = Field(default=0, description="Leres parameter `thr_a`") - thr_b: float = Field(default=0, description="Leres parameter `thr_b`") - boost: bool = Field(default=False, description="Whether to use boost mode") - detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection") - image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Leres (Depth) Processor", "tags": ["controlnet", "leres", "depth", "image", "processor"]}, - } + # Inputs + thr_a: float = InputField(default=0, description="Leres parameter `thr_a`") + thr_b: float = InputField(default=0, description="Leres parameter `thr_b`") + boost: bool = InputField(default=False, description="Whether to use boost mode") + detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res) + image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res) def run_processor(self, image): leres_processor = LeresDetector.from_pretrained("lllyasviel/Annotators") @@ -605,21 +474,16 @@ class LeresImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfi return processed_image -class TileResamplerProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): - # fmt: off - type: Literal["tile_image_processor"] = "tile_image_processor" - # Inputs - #res: int = Field(default=512, ge=0, le=1024, description="The pixel resolution for each tile") - down_sampling_rate: float = Field(default=1.0, ge=1.0, le=8.0, description="Down sampling rate") - # fmt: on +@title("Tile Resample Processor") +@tags("controlnet", "tile") +class TileResamplerProcessorInvocation(ImageProcessorInvocation): + """Tile resampler processor""" - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Tile Resample Processor", - "tags": ["controlnet", "tile", "resample", "image", "processor"], - }, - } + type: Literal["tile_image_processor"] = "tile_image_processor" + + # Inputs + # res: int = InputField(default=512, ge=0, le=1024, description="The pixel resolution for each tile") + down_sampling_rate: float = InputField(default=1.0, ge=1.0, le=8.0, description="Down sampling rate") # tile_resample copied from sd-webui-controlnet/scripts/processor.py def tile_resample( @@ -648,20 +512,12 @@ class TileResamplerProcessorInvocation(ImageProcessorInvocation, PILInvocationCo return processed_image -class SegmentAnythingProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig): +@title("Segment Anything Processor") +@tags("controlnet", "segmentanything") +class SegmentAnythingProcessorInvocation(ImageProcessorInvocation): """Applies segment anything processing to image""" - # fmt: off type: Literal["segment_anything_processor"] = "segment_anything_processor" - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Segment Anything Processor", - "tags": ["controlnet", "segment", "anything", "sam", "image", "processor"], - }, - } def run_processor(self, image): # segment_anything_processor = SamDetector.from_pretrained("ybelkada/segment-anything", subfolder="checkpoints") diff --git a/invokeai/app/invocations/cv.py b/invokeai/app/invocations/cv.py index bd3a4adbe4..f318434211 100644 --- a/invokeai/app/invocations/cv.py +++ b/invokeai/app/invocations/cv.py @@ -5,40 +5,22 @@ from typing import Literal import cv2 as cv import numpy from PIL import Image, ImageOps -from pydantic import BaseModel, Field +from invokeai.app.invocations.primitives import ImageField, ImageOutput -from invokeai.app.models.image import ImageCategory, ImageField, ResourceOrigin -from .baseinvocation import BaseInvocation, InvocationContext, InvocationConfig -from .image import ImageOutput +from invokeai.app.models.image import ImageCategory, ResourceOrigin +from .baseinvocation import BaseInvocation, InputField, InvocationContext, tags, title -class CvInvocationConfig(BaseModel): - """Helper class to provide all OpenCV invocations with additional config""" - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "tags": ["cv", "image"], - }, - } - - -class CvInpaintInvocation(BaseInvocation, CvInvocationConfig): +@title("OpenCV Inpaint") +@tags("opencv", "inpaint") +class CvInpaintInvocation(BaseInvocation): """Simple inpaint using opencv.""" - # fmt: off type: Literal["cv_inpaint"] = "cv_inpaint" # Inputs - image: ImageField = Field(default=None, description="The image to inpaint") - mask: ImageField = Field(default=None, description="The mask to use when inpainting") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "OpenCV Inpaint", "tags": ["opencv", "inpaint"]}, - } + image: ImageField = InputField(description="The image to inpaint") + mask: ImageField = InputField(description="The mask to use when inpainting") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py index 2c47020207..f4a1648196 100644 --- a/invokeai/app/invocations/image.py +++ b/invokeai/app/invocations/image.py @@ -1,60 +1,31 @@ # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) from pathlib import Path -from typing import Literal, Optional, Union +from typing import Literal, Optional import cv2 import numpy from PIL import Image, ImageChops, ImageFilter, ImageOps -from pydantic import Field from invokeai.app.invocations.metadata import CoreMetadata +from invokeai.app.invocations.primitives import 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, ImageField, ImageOutput, MaskOutput, PILInvocationConfig, ResourceOrigin -from .baseinvocation import BaseInvocation, InvocationConfig, InvocationContext - - -class LoadImageInvocation(BaseInvocation): - """Load an image and provide it as output.""" - - # fmt: off - type: Literal["load_image"] = "load_image" - - # Inputs - image: Optional[ImageField] = Field( - default=None, description="The image to load" - ) - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Load Image", "tags": ["image", "load"]}, - } - - def invoke(self, context: InvocationContext) -> ImageOutput: - image = context.services.images.get_pil_image(self.image.image_name) - - return ImageOutput( - image=ImageField(image_name=self.image.image_name), - width=image.width, - height=image.height, - ) +from ..models.image import ImageCategory, ResourceOrigin +from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, tags, title +@title("Show Image") +@tags("image") class ShowImageInvocation(BaseInvocation): """Displays a provided image, and passes it forward in the pipeline.""" + # Metadata type: Literal["show_image"] = "show_image" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to show") - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Show Image", "tags": ["image", "show"]}, - } + image: ImageField = InputField(description="The image to show") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -70,24 +41,20 @@ class ShowImageInvocation(BaseInvocation): ) -class ImageCropInvocation(BaseInvocation, PILInvocationConfig): +@title("Crop Image") +@tags("image", "crop") +class ImageCropInvocation(BaseInvocation): """Crops an image to a specified box. The box can be outside of the image.""" - # fmt: off + # Metadata type: Literal["img_crop"] = "img_crop" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to crop") - x: int = Field(default=0, description="The left x coordinate of the crop rectangle") - y: int = Field(default=0, description="The top y coordinate of the crop rectangle") - width: int = Field(default=512, gt=0, description="The width of the crop rectangle") - height: int = Field(default=512, gt=0, description="The height of the crop rectangle") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Crop Image", "tags": ["image", "crop"]}, - } + image: ImageField = InputField(description="The image to crop") + x: int = InputField(default=0, description="The left x coordinate of the crop rectangle") + y: int = InputField(default=0, description="The top y coordinate of the crop rectangle") + width: int = InputField(default=512, gt=0, description="The width of the crop rectangle") + height: int = InputField(default=512, gt=0, description="The height of the crop rectangle") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -111,24 +78,23 @@ class ImageCropInvocation(BaseInvocation, PILInvocationConfig): ) -class ImagePasteInvocation(BaseInvocation, PILInvocationConfig): +@title("Paste Image") +@tags("image", "paste") +class ImagePasteInvocation(BaseInvocation): """Pastes an image into another image.""" - # fmt: off + # Metadata type: Literal["img_paste"] = "img_paste" # Inputs - base_image: Optional[ImageField] = Field(default=None, description="The base image") - image: Optional[ImageField] = Field(default=None, description="The image to paste") - mask: Optional[ImageField] = Field(default=None, description="The mask to use when pasting") - x: int = Field(default=0, description="The left x coordinate at which to paste the image") - y: int = Field(default=0, description="The top y coordinate at which to paste the image") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Paste Image", "tags": ["image", "paste"]}, - } + base_image: ImageField = InputField(description="The base image") + image: ImageField = InputField(description="The image to paste") + mask: Optional[ImageField] = InputField( + default=None, + description="The mask to use when pasting", + ) + 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") def invoke(self, context: InvocationContext) -> ImageOutput: base_image = context.services.images.get_pil_image(self.base_image.image_name) @@ -164,23 +130,19 @@ class ImagePasteInvocation(BaseInvocation, PILInvocationConfig): ) -class MaskFromAlphaInvocation(BaseInvocation, PILInvocationConfig): +@title("Mask from Alpha") +@tags("image", "mask") +class MaskFromAlphaInvocation(BaseInvocation): """Extracts the alpha channel of an image as a mask.""" - # fmt: off + # Metadata type: Literal["tomask"] = "tomask" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to create the mask from") - invert: bool = Field(default=False, description="Whether or not to invert the mask") - # fmt: on + image: ImageField = InputField(description="The image to create the mask from") + invert: bool = InputField(default=False, description="Whether or not to invert the mask") - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Mask From Alpha", "tags": ["image", "mask", "alpha"]}, - } - - def invoke(self, context: InvocationContext) -> MaskOutput: + def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) image_mask = image.split()[-1] @@ -196,28 +158,24 @@ class MaskFromAlphaInvocation(BaseInvocation, PILInvocationConfig): is_intermediate=self.is_intermediate, ) - return MaskOutput( - mask=ImageField(image_name=image_dto.image_name), + return ImageOutput( + image=ImageField(image_name=image_dto.image_name), width=image_dto.width, height=image_dto.height, ) -class ImageMultiplyInvocation(BaseInvocation, PILInvocationConfig): +@title("Multiply Images") +@tags("image", "multiply") +class ImageMultiplyInvocation(BaseInvocation): """Multiplies two images together using `PIL.ImageChops.multiply()`.""" - # fmt: off + # Metadata type: Literal["img_mul"] = "img_mul" # Inputs - image1: Optional[ImageField] = Field(default=None, description="The first image to multiply") - image2: Optional[ImageField] = Field(default=None, description="The second image to multiply") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Multiply Images", "tags": ["image", "multiply"]}, - } + image1: ImageField = InputField(description="The first image to multiply") + image2: ImageField = InputField(description="The second image to multiply") def invoke(self, context: InvocationContext) -> ImageOutput: image1 = context.services.images.get_pil_image(self.image1.image_name) @@ -244,21 +202,17 @@ class ImageMultiplyInvocation(BaseInvocation, PILInvocationConfig): IMAGE_CHANNELS = Literal["A", "R", "G", "B"] -class ImageChannelInvocation(BaseInvocation, PILInvocationConfig): +@title("Extract Image Channel") +@tags("image", "channel") +class ImageChannelInvocation(BaseInvocation): """Gets a channel from an image.""" - # fmt: off + # Metadata type: Literal["img_chan"] = "img_chan" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to get the channel from") - channel: IMAGE_CHANNELS = Field(default="A", description="The channel to get") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Image Channel", "tags": ["image", "channel"]}, - } + image: ImageField = InputField(description="The image to get the channel from") + channel: IMAGE_CHANNELS = InputField(default="A", description="The channel to get") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -284,21 +238,17 @@ class ImageChannelInvocation(BaseInvocation, PILInvocationConfig): IMAGE_MODES = Literal["L", "RGB", "RGBA", "CMYK", "YCbCr", "LAB", "HSV", "I", "F"] -class ImageConvertInvocation(BaseInvocation, PILInvocationConfig): +@title("Convert Image Mode") +@tags("image", "convert") +class ImageConvertInvocation(BaseInvocation): """Converts an image to a different mode.""" - # fmt: off + # Metadata type: Literal["img_conv"] = "img_conv" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to convert") - mode: IMAGE_MODES = Field(default="L", description="The mode to convert to") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Convert Image", "tags": ["image", "convert"]}, - } + image: ImageField = InputField(description="The image to convert") + mode: IMAGE_MODES = InputField(default="L", description="The mode to convert to") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -321,22 +271,19 @@ class ImageConvertInvocation(BaseInvocation, PILInvocationConfig): ) -class ImageBlurInvocation(BaseInvocation, PILInvocationConfig): +@title("Blur Image") +@tags("image", "blur") +class ImageBlurInvocation(BaseInvocation): """Blurs an image""" - # fmt: off + # Metadata type: Literal["img_blur"] = "img_blur" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to blur") - radius: float = Field(default=8.0, ge=0, description="The blur radius") - blur_type: Literal["gaussian", "box"] = Field(default="gaussian", description="The type of blur") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Blur Image", "tags": ["image", "blur"]}, - } + image: ImageField = InputField(description="The image to blur") + radius: float = InputField(default=8.0, ge=0, description="The blur radius") + # Metadata + blur_type: Literal["gaussian", "box"] = InputField(default="gaussian", description="The type of blur") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -382,23 +329,19 @@ PIL_RESAMPLING_MAP = { } -class ImageResizeInvocation(BaseInvocation, PILInvocationConfig): +@title("Resize Image") +@tags("image", "resize") +class ImageResizeInvocation(BaseInvocation): """Resizes an image to specific dimensions""" - # fmt: off + # Metadata type: Literal["img_resize"] = "img_resize" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to resize") - width: Union[int, None] = Field(ge=64, multiple_of=8, description="The width to resize to (px)") - height: Union[int, None] = Field(ge=64, multiple_of=8, description="The height to resize to (px)") - resample_mode: PIL_RESAMPLING_MODES = Field(default="bicubic", description="The resampling mode") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Resize Image", "tags": ["image", "resize"]}, - } + 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)") + resample_mode: PIL_RESAMPLING_MODES = InputField(default="bicubic", description="The resampling mode") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -426,22 +369,22 @@ class ImageResizeInvocation(BaseInvocation, PILInvocationConfig): ) -class ImageScaleInvocation(BaseInvocation, PILInvocationConfig): +@title("Scale Image") +@tags("image", "scale") +class ImageScaleInvocation(BaseInvocation): """Scales an image by a factor""" - # fmt: off + # Metadata type: Literal["img_scale"] = "img_scale" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to scale") - scale_factor: Optional[float] = Field(default=2.0, gt=0, description="The factor by which to scale the image") - resample_mode: PIL_RESAMPLING_MODES = Field(default="bicubic", description="The resampling mode") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Scale Image", "tags": ["image", "scale"]}, - } + image: ImageField = InputField(description="The image to scale") + scale_factor: float = InputField( + default=2.0, + gt=0, + description="The factor by which to scale the image", + ) + resample_mode: PIL_RESAMPLING_MODES = InputField(default="bicubic", description="The resampling mode") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -471,22 +414,18 @@ class ImageScaleInvocation(BaseInvocation, PILInvocationConfig): ) -class ImageLerpInvocation(BaseInvocation, PILInvocationConfig): +@title("Lerp Image") +@tags("image", "lerp") +class ImageLerpInvocation(BaseInvocation): """Linear interpolation of all pixels of an image""" - # fmt: off + # Metadata type: Literal["img_lerp"] = "img_lerp" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to lerp") - min: int = Field(default=0, ge=0, le=255, description="The minimum output value") - max: int = Field(default=255, ge=0, le=255, description="The maximum output value") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Image Linear Interpolation", "tags": ["image", "linear", "interpolation", "lerp"]}, - } + image: ImageField = InputField(description="The image to lerp") + min: int = InputField(default=0, ge=0, le=255, description="The minimum output value") + max: int = InputField(default=255, ge=0, le=255, description="The maximum output value") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -512,25 +451,18 @@ class ImageLerpInvocation(BaseInvocation, PILInvocationConfig): ) -class ImageInverseLerpInvocation(BaseInvocation, PILInvocationConfig): +@title("Inverse Lerp Image") +@tags("image", "ilerp") +class ImageInverseLerpInvocation(BaseInvocation): """Inverse linear interpolation of all pixels of an image""" - # fmt: off + # Metadata type: Literal["img_ilerp"] = "img_ilerp" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to lerp") - min: int = Field(default=0, ge=0, le=255, description="The minimum input value") - max: int = Field(default=255, ge=0, le=255, description="The maximum input value") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Image Inverse Linear Interpolation", - "tags": ["image", "linear", "interpolation", "inverse"], - }, - } + image: ImageField = InputField(description="The image to lerp") + min: int = InputField(default=0, ge=0, le=255, description="The minimum input value") + max: int = InputField(default=255, ge=0, le=255, description="The maximum input value") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -556,21 +488,19 @@ class ImageInverseLerpInvocation(BaseInvocation, PILInvocationConfig): ) -class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig): +@title("Blur NSFW Image") +@tags("image", "nsfw") +class ImageNSFWBlurInvocation(BaseInvocation): """Add blur to NSFW-flagged images""" - # fmt: off + # Metadata type: Literal["img_nsfw"] = "img_nsfw" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to check") - metadata: Optional[CoreMetadata] = Field(default=None, description="Optional core metadata to be written to the image") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Blur NSFW Images", "tags": ["image", "nsfw", "checker"]}, - } + image: ImageField = InputField(description="The image to check") + metadata: Optional[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) @@ -607,22 +537,20 @@ class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig): return caution.resize((caution.width // 2, caution.height // 2)) -class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig): +@title("Add Invisible Watermark") +@tags("image", "watermark") +class ImageWatermarkInvocation(BaseInvocation): """Add an invisible watermark to an image""" - # fmt: off + # Metadata type: Literal["img_watermark"] = "img_watermark" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to check") - text: str = Field(default='InvokeAI', description="Watermark text") - metadata: Optional[CoreMetadata] = Field(default=None, description="Optional core metadata to be written to the image") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Add Invisible Watermark", "tags": ["image", "watermark", "invisible"]}, - } + image: ImageField = InputField(description="The image to check") + text: str = InputField(default="InvokeAI", description="Watermark text") + metadata: Optional[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) @@ -644,21 +572,23 @@ class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig): ) -class MaskEdgeInvocation(BaseInvocation, PILInvocationConfig): +@title("Mask Edge") +@tags("image", "mask", "inpaint") +class MaskEdgeInvocation(BaseInvocation): """Applies an edge mask to an image""" - # fmt: off type: Literal["mask_edge"] = "mask_edge" # Inputs - image: Optional[ImageField] = Field(default=None, description="The image to apply the mask to") - edge_size: int = Field(description="The size of the edge") - edge_blur: int = Field(description="The amount of blur on the edge") - low_threshold: int = Field(description="First threshold for the hysteresis procedure in Canny edge detection") - high_threshold: int = Field(description="Second threshold for the hysteresis procedure in Canny edge detection") - # fmt: on + image: ImageField = InputField(description="The image to apply the mask to") + edge_size: int = InputField(description="The size of the edge") + edge_blur: int = InputField(description="The amount of blur on the edge") + low_threshold: int = InputField(description="First threshold for the hysteresis procedure in Canny edge detection") + high_threshold: int = InputField( + description="Second threshold for the hysteresis procedure in Canny edge detection" + ) - def invoke(self, context: InvocationContext) -> MaskOutput: + def invoke(self, context: InvocationContext) -> ImageOutput: mask = context.services.images.get_pil_image(self.image.image_name) npimg = numpy.asarray(mask, dtype=numpy.uint8) @@ -683,28 +613,23 @@ class MaskEdgeInvocation(BaseInvocation, PILInvocationConfig): is_intermediate=self.is_intermediate, ) - return MaskOutput( - mask=ImageField(image_name=image_dto.image_name), + return ImageOutput( + image=ImageField(image_name=image_dto.image_name), width=image_dto.width, height=image_dto.height, ) -class MaskCombineInvocation(BaseInvocation, PILInvocationConfig): +@title("Combine Mask") +@tags("image", "mask", "multiply") +class MaskCombineInvocation(BaseInvocation): """Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`.""" - # fmt: off type: Literal["mask_combine"] = "mask_combine" # Inputs - mask1: ImageField = Field(default=None, description="The first mask to combine") - mask2: ImageField = Field(default=None, description="The second image to combine") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Mask Combine", "tags": ["mask", "combine"]}, - } + mask1: ImageField = InputField(description="The first mask to combine") + mask2: ImageField = InputField(description="The second image to combine") def invoke(self, context: InvocationContext) -> ImageOutput: mask1 = context.services.images.get_pil_image(self.mask1.image_name).convert("L") @@ -728,7 +653,9 @@ class MaskCombineInvocation(BaseInvocation, PILInvocationConfig): ) -class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig): +@title("Color Correct") +@tags("image", "color") +class ColorCorrectInvocation(BaseInvocation): """ Shifts the colors of a target image to match the reference image, optionally using a mask to only color-correct certain regions of the target image. @@ -736,10 +663,11 @@ class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig): type: Literal["color_correct"] = "color_correct" - image: Optional[ImageField] = Field(default=None, description="The image to color-correct") - reference: Optional[ImageField] = Field(default=None, description="Reference image for color-correction") - mask: Optional[ImageField] = Field(default=None, description="Mask to use when applying color-correction") - mask_blur_radius: float = Field(default=8, description="Mask blur radius") + # Inputs + image: ImageField = InputField(description="The image to color-correct") + reference: ImageField = InputField(description="Reference image for color-correction") + mask: Optional[ImageField] = InputField(default=None, description="Mask to use when applying color-correction") + mask_blur_radius: float = InputField(default=8, description="Mask blur radius") def invoke(self, context: InvocationContext) -> ImageOutput: pil_init_mask = None @@ -833,16 +761,16 @@ class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig): ) +@title("Image Hue Adjustment") +@tags("image", "hue", "hsl") class ImageHueAdjustmentInvocation(BaseInvocation): """Adjusts the Hue of an image.""" - # fmt: off type: Literal["img_hue_adjust"] = "img_hue_adjust" # Inputs - image: ImageField = Field(default=None, description="The image to adjust") - hue: int = Field(default=0, description="The degrees by which to rotate the hue, 0-360") - # fmt: on + image: ImageField = InputField(description="The image to adjust") + hue: int = InputField(default=0, description="The degrees by which to rotate the hue, 0-360") def invoke(self, context: InvocationContext) -> ImageOutput: pil_image = context.services.images.get_pil_image(self.image.image_name) @@ -877,16 +805,18 @@ class ImageHueAdjustmentInvocation(BaseInvocation): ) +@title("Image Luminosity Adjustment") +@tags("image", "luminosity", "hsl") class ImageLuminosityAdjustmentInvocation(BaseInvocation): """Adjusts the Luminosity (Value) of an image.""" - # fmt: off type: Literal["img_luminosity_adjust"] = "img_luminosity_adjust" # Inputs - image: ImageField = Field(default=None, description="The image to adjust") - luminosity: float = Field(default=1.0, ge=0, le=1, description="The factor by which to adjust the luminosity (value)") - # fmt: on + image: ImageField = InputField(description="The image to adjust") + luminosity: float = InputField( + default=1.0, ge=0, le=1, description="The factor by which to adjust the luminosity (value)" + ) def invoke(self, context: InvocationContext) -> ImageOutput: pil_image = context.services.images.get_pil_image(self.image.image_name) @@ -925,16 +855,16 @@ class ImageLuminosityAdjustmentInvocation(BaseInvocation): ) +@title("Image Saturation Adjustment") +@tags("image", "saturation", "hsl") class ImageSaturationAdjustmentInvocation(BaseInvocation): """Adjusts the Saturation of an image.""" - # fmt: off type: Literal["img_saturation_adjust"] = "img_saturation_adjust" # Inputs - image: ImageField = Field(default=None, description="The image to adjust") - saturation: float = Field(default=1.0, ge=0, le=1, description="The factor by which to adjust the saturation") - # fmt: on + image: ImageField = InputField(description="The image to adjust") + saturation: float = InputField(default=1.0, ge=0, le=1, description="The factor by which to adjust the saturation") def invoke(self, context: InvocationContext) -> ImageOutput: pil_image = context.services.images.get_pil_image(self.image.image_name) diff --git a/invokeai/app/invocations/infill.py b/invokeai/app/invocations/infill.py index cd5b2f9a11..1547191f6c 100644 --- a/invokeai/app/invocations/infill.py +++ b/invokeai/app/invocations/infill.py @@ -5,18 +5,13 @@ from typing import Literal, Optional, get_args import numpy as np import math from PIL import Image, ImageOps -from pydantic import Field +from invokeai.app.invocations.primitives import ImageField, ImageOutput, ColorField -from invokeai.app.invocations.image import ImageOutput from invokeai.app.util.misc import SEED_MAX, get_random_seed from invokeai.backend.image_util.patchmatch import PatchMatch -from ..models.image import ColorField, ImageCategory, ImageField, ResourceOrigin -from .baseinvocation import ( - BaseInvocation, - InvocationConfig, - InvocationContext, -) +from ..models.image import ImageCategory, ResourceOrigin +from .baseinvocation import BaseInvocation, InputField, InvocationContext, title, tags def infill_methods() -> list[str]: @@ -114,21 +109,20 @@ def tile_fill_missing(im: Image.Image, tile_size: int = 16, seed: Optional[int] return si +@title("Solid Color Infill") +@tags("image", "inpaint") class InfillColorInvocation(BaseInvocation): """Infills transparent areas of an image with a solid color""" type: Literal["infill_rgba"] = "infill_rgba" - image: Optional[ImageField] = Field(default=None, description="The image to infill") - color: ColorField = Field( + + # Inputs + image: ImageField = InputField(description="The image to infill") + color: ColorField = InputField( default=ColorField(r=127, g=127, b=127, a=255), description="The color to use to infill", ) - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Color Infill", "tags": ["image", "inpaint", "color", "infill"]}, - } - def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -153,25 +147,23 @@ class InfillColorInvocation(BaseInvocation): ) +@title("Tile Infill") +@tags("image", "inpaint") class InfillTileInvocation(BaseInvocation): """Infills transparent areas of an image with tiles of the image""" type: Literal["infill_tile"] = "infill_tile" - image: Optional[ImageField] = Field(default=None, description="The image to infill") - tile_size: int = Field(default=32, ge=1, description="The tile size (px)") - seed: int = Field( + # Input + image: ImageField = InputField(description="The image to infill") + tile_size: int = InputField(default=32, ge=1, description="The tile size (px)") + seed: int = InputField( ge=0, le=SEED_MAX, description="The seed to use for tile generation (omit for random)", default_factory=get_random_seed, ) - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Tile Infill", "tags": ["image", "inpaint", "tile", "infill"]}, - } - def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) @@ -194,17 +186,15 @@ class InfillTileInvocation(BaseInvocation): ) +@title("PatchMatch Infill") +@tags("image", "inpaint") class InfillPatchMatchInvocation(BaseInvocation): """Infills transparent areas of an image using the PatchMatch algorithm""" type: Literal["infill_patchmatch"] = "infill_patchmatch" - image: Optional[ImageField] = Field(default=None, description="The image to infill") - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Patch Match Infill", "tags": ["image", "inpaint", "patchmatch", "infill"]}, - } + # Inputs + image: ImageField = InputField(description="The image to infill") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py index c66c9c6214..40f7af8703 100644 --- a/invokeai/app/invocations/latent.py +++ b/invokeai/app/invocations/latent.py @@ -13,16 +13,25 @@ from diffusers.models.attention_processor import ( LoRAXFormersAttnProcessor, XFormersAttnProcessor, ) -from diffusers.schedulers import DPMSolverSDEScheduler, SchedulerMixin as Scheduler +from diffusers.schedulers import DPMSolverSDEScheduler +from diffusers.schedulers import SchedulerMixin as Scheduler from pydantic import BaseModel, Field, validator from torchvision.transforms.functional import resize as tv_resize from invokeai.app.invocations.metadata import CoreMetadata +from invokeai.app.invocations.primitives import ( + ImageField, + ImageOutput, + LatentsField, + LatentsOutput, + build_latents_output, +) 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 ...backend.model_management.lora import ModelPatcher from ...backend.stable_diffusion import PipelineIntermediateState from ...backend.stable_diffusion.diffusers_pipeline import ( ConditioningData, @@ -32,48 +41,27 @@ 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, torch_dtype -from ..models.image import ImageCategory, ImageField, ResourceOrigin -from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext +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 .image import ImageOutput from .model import ModelInfo, UNetField, VaeField DEFAULT_PRECISION = choose_precision(choose_torch_device()) -class LatentsField(BaseModel): - """A latents field used for passing latents between invocations""" - - latents_name: Optional[str] = Field(default=None, description="The name of the latents") - seed: Optional[int] = Field(description="Seed used to generate this latents") - - class Config: - schema_extra = {"required": ["latents_name"]} - - -class LatentsOutput(BaseInvocationOutput): - """Base class for invocations that output latents""" - - # fmt: off - type: Literal["latents_output"] = "latents_output" - - # Inputs - latents: LatentsField = Field(default=None, description="The output latents") - width: int = Field(description="The width of the latents in pixels") - height: int = Field(description="The height of the latents in pixels") - # fmt: on - - -def build_latents_output(latents_name: str, latents: torch.Tensor, seed: Optional[int]): - return LatentsOutput( - latents=LatentsField(latents_name=latents_name, seed=seed), - width=latents.size()[3] * 8, - height=latents.size()[2] * 8, - ) - - SAMPLER_NAME_VALUES = Literal[tuple(list(SCHEDULER_MAP.keys()))] @@ -111,30 +99,36 @@ def get_scheduler( return scheduler +@title("Denoise Latents") +@tags("latents", "denoise", "txt2img", "t2i", "t2l", "img2img", "i2i", "l2l") class DenoiseLatentsInvocation(BaseInvocation): """Denoises noisy latents to decodable images""" type: Literal["denoise_latents"] = "denoise_latents" # Inputs - positive_conditioning: Optional[ConditioningField] = Field(description="Positive conditioning for generation") - negative_conditioning: Optional[ConditioningField] = Field(description="Negative conditioning for generation") - noise: Optional[LatentsField] = Field(description="The noise to use") - steps: int = Field(default=10, gt=0, description="The number of steps to use to generate the image") - cfg_scale: Union[float, List[float]] = Field( - default=7.5, - ge=1, - description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", + positive_conditioning: ConditioningField = InputField( + description=FieldDescriptions.positive_cond, input=Input.Connection ) - denoising_start: float = Field(default=0.0, ge=0, le=1, description="") - denoising_end: float = Field(default=1.0, ge=0, le=1, description="") - scheduler: SAMPLER_NAME_VALUES = Field(default="euler", description="The scheduler to use") - unet: UNetField = Field(default=None, description="UNet submodel") - control: Union[ControlField, list[ControlField]] = Field(default=None, description="The control to use") - latents: Optional[LatentsField] = Field(description="The latents to use as a base image") - mask: Optional[ImageField] = Field( - None, - description="Mask", + negative_conditioning: ConditioningField = InputField( + description=FieldDescriptions.negative_cond, input=Input.Connection + ) + noise: Optional[LatentsField] = InputField(description=FieldDescriptions.noise, input=Input.Connection) + 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 + ) + 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) + scheduler: SAMPLER_NAME_VALUES = InputField(default="euler", description=FieldDescriptions.scheduler) + unet: UNetField = InputField(description=FieldDescriptions.unet, input=Input.Connection) + control: Union[ControlField, list[ControlField]] = InputField( + default=None, description=FieldDescriptions.control, input=Input.Connection + ) + latents: Optional[LatentsField] = InputField(description=FieldDescriptions.latents, input=Input.Connection) + mask: Optional[ImageField] = InputField( + default=None, + description=FieldDescriptions.mask, ) @validator("cfg_scale") @@ -149,20 +143,6 @@ class DenoiseLatentsInvocation(BaseInvocation): raise ValueError("cfg_scale must be greater than 1") return v - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Denoise Latents", - "tags": ["denoise", "latents"], - "type_hints": { - "model": "model", - "control": "control", - "cfg_scale": "number", - }, - }, - } - # TODO: pass this an emitter method or something? or a session for dispatching? def dispatch_progress( self, @@ -474,29 +454,29 @@ class DenoiseLatentsInvocation(BaseInvocation): return build_latents_output(latents_name=name, latents=result_latents, seed=seed) -# Latent to image +@title("Latents to Image") +@tags("latents", "image", "vae") class LatentsToImageInvocation(BaseInvocation): """Generates an image from latents.""" type: Literal["l2i"] = "l2i" # Inputs - latents: Optional[LatentsField] = Field(description="The latents to generate an image from") - vae: VaeField = Field(default=None, description="Vae submodel") - tiled: bool = Field(default=False, description="Decode latents by overlaping tiles (less memory consumption)") - fp32: bool = Field(DEFAULT_PRECISION == "float32", description="Decode in full precision") - metadata: Optional[CoreMetadata] = Field( - default=None, description="Optional core metadata to be written to the image" + latents: LatentsField = InputField( + description=FieldDescriptions.latents, + input=Input.Connection, + ) + vae: VaeField = InputField( + description=FieldDescriptions.vae, + input=Input.Connection, + ) + tiled: bool = InputField(default=False, description=FieldDescriptions.tiled) + fp32: bool = InputField(default=DEFAULT_PRECISION == "float32", description=FieldDescriptions.fp32) + metadata: CoreMetadata = InputField( + default=None, + description=FieldDescriptions.core_metadata, + ui_hidden=True, ) - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Latents To Image", - "tags": ["latents", "image"], - }, - } @torch.no_grad() def invoke(self, context: InvocationContext) -> ImageOutput: @@ -574,24 +554,30 @@ class LatentsToImageInvocation(BaseInvocation): LATENTS_INTERPOLATION_MODE = Literal["nearest", "linear", "bilinear", "bicubic", "trilinear", "area", "nearest-exact"] +@title("Resize Latents") +@tags("latents", "resize") class ResizeLatentsInvocation(BaseInvocation): """Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8.""" type: Literal["lresize"] = "lresize" # Inputs - latents: Optional[LatentsField] = Field(description="The latents to resize") - width: Union[int, None] = Field(default=512, ge=64, multiple_of=8, description="The width to resize to (px)") - height: Union[int, None] = Field(default=512, ge=64, multiple_of=8, description="The height to resize to (px)") - mode: LATENTS_INTERPOLATION_MODE = Field(default="bilinear", description="The interpolation mode") - antialias: bool = Field( - default=False, description="Whether or not to antialias (applied in bilinear and bicubic modes only)" + latents: LatentsField = InputField( + description=FieldDescriptions.latents, + input=Input.Connection, ) - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Resize Latents", "tags": ["latents", "resize"]}, - } + width: int = InputField( + ge=64, + multiple_of=8, + description=FieldDescriptions.width, + ) + height: int = InputField( + ge=64, + multiple_of=8, + description=FieldDescriptions.width, + ) + mode: LATENTS_INTERPOLATION_MODE = InputField(default="bilinear", description=FieldDescriptions.interp_mode) + antialias: bool = InputField(default=False, description=FieldDescriptions.torch_antialias) def invoke(self, context: InvocationContext) -> LatentsOutput: latents = context.services.latents.get(self.latents.latents_name) @@ -616,23 +602,21 @@ class ResizeLatentsInvocation(BaseInvocation): return build_latents_output(latents_name=name, latents=resized_latents, seed=self.latents.seed) +@title("Scale Latents") +@tags("latents", "resize") class ScaleLatentsInvocation(BaseInvocation): """Scales latents by a given factor.""" type: Literal["lscale"] = "lscale" # Inputs - latents: Optional[LatentsField] = Field(description="The latents to scale") - scale_factor: float = Field(gt=0, description="The factor by which to scale the latents") - mode: LATENTS_INTERPOLATION_MODE = Field(default="bilinear", description="The interpolation mode") - antialias: bool = Field( - default=False, description="Whether or not to antialias (applied in bilinear and bicubic modes only)" + latents: LatentsField = InputField( + description=FieldDescriptions.latents, + input=Input.Connection, ) - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Scale Latents", "tags": ["latents", "scale"]}, - } + scale_factor: float = InputField(gt=0, description=FieldDescriptions.scale_factor) + mode: LATENTS_INTERPOLATION_MODE = InputField(default="bilinear", description=FieldDescriptions.interp_mode) + antialias: bool = InputField(default=False, description=FieldDescriptions.torch_antialias) def invoke(self, context: InvocationContext) -> LatentsOutput: latents = context.services.latents.get(self.latents.latents_name) @@ -658,22 +642,23 @@ class ScaleLatentsInvocation(BaseInvocation): return build_latents_output(latents_name=name, latents=resized_latents, seed=self.latents.seed) +@title("Image to Latents") +@tags("latents", "image", "vae") class ImageToLatentsInvocation(BaseInvocation): """Encodes an image into latents.""" type: Literal["i2l"] = "i2l" # Inputs - image: Optional[ImageField] = Field(description="The image to encode") - vae: VaeField = Field(default=None, description="Vae submodel") - tiled: bool = Field(default=False, description="Encode latents by overlaping tiles(less memory consumption)") - fp32: bool = Field(DEFAULT_PRECISION == "float32", description="Decode in full precision") - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Image To Latents", "tags": ["latents", "image"]}, - } + image: ImageField = InputField( + description="The image to encode", + ) + vae: VaeField = InputField( + description=FieldDescriptions.vae, + input=Input.Connection, + ) + tiled: bool = InputField(default=False, description=FieldDescriptions.tiled) + fp32: bool = InputField(default=DEFAULT_PRECISION == "float32", description=FieldDescriptions.fp32) @torch.no_grad() def invoke(self, context: InvocationContext) -> LatentsOutput: diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py index 32b1ab2a39..13e3d92f52 100644 --- a/invokeai/app/invocations/math.py +++ b/invokeai/app/invocations/math.py @@ -2,134 +2,83 @@ from typing import Literal -from pydantic import BaseModel, Field import numpy as np -from .baseinvocation import ( - BaseInvocation, - BaseInvocationOutput, - InvocationContext, - InvocationConfig, -) +from invokeai.app.invocations.primitives import IntegerOutput + +from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, tags, title -class MathInvocationConfig(BaseModel): - """Helper class to provide all math invocations with additional config""" - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "tags": ["math"], - } - } - - -class IntOutput(BaseInvocationOutput): - """An integer output""" - - # fmt: off - type: Literal["int_output"] = "int_output" - a: int = Field(default=None, description="The output integer") - # fmt: on - - -class FloatOutput(BaseInvocationOutput): - """A float output""" - - # fmt: off - type: Literal["float_output"] = "float_output" - param: float = Field(default=None, description="The output float") - # fmt: on - - -class AddInvocation(BaseInvocation, MathInvocationConfig): +@title("Add Integers") +@tags("math") +class AddInvocation(BaseInvocation): """Adds two numbers""" - # fmt: off type: Literal["add"] = "add" - a: int = Field(default=0, description="The first number") - b: int = Field(default=0, description="The second number") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Add", "tags": ["math", "add"]}, - } + # Inputs + a: int = InputField(default=0, description=FieldDescriptions.num_1) + b: int = InputField(default=0, description=FieldDescriptions.num_2) - def invoke(self, context: InvocationContext) -> IntOutput: - return IntOutput(a=self.a + self.b) + def invoke(self, context: InvocationContext) -> IntegerOutput: + return IntegerOutput(a=self.a + self.b) -class SubtractInvocation(BaseInvocation, MathInvocationConfig): +@title("Subtract Integers") +@tags("math") +class SubtractInvocation(BaseInvocation): """Subtracts two numbers""" - # fmt: off type: Literal["sub"] = "sub" - a: int = Field(default=0, description="The first number") - b: int = Field(default=0, description="The second number") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Subtract", "tags": ["math", "subtract"]}, - } + # Inputs + a: int = InputField(default=0, description=FieldDescriptions.num_1) + b: int = InputField(default=0, description=FieldDescriptions.num_2) - def invoke(self, context: InvocationContext) -> IntOutput: - return IntOutput(a=self.a - self.b) + def invoke(self, context: InvocationContext) -> IntegerOutput: + return IntegerOutput(a=self.a - self.b) -class MultiplyInvocation(BaseInvocation, MathInvocationConfig): +@title("Multiply Integers") +@tags("math") +class MultiplyInvocation(BaseInvocation): """Multiplies two numbers""" - # fmt: off type: Literal["mul"] = "mul" - a: int = Field(default=0, description="The first number") - b: int = Field(default=0, description="The second number") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Multiply", "tags": ["math", "multiply"]}, - } + # Inputs + a: int = InputField(default=0, description=FieldDescriptions.num_1) + b: int = InputField(default=0, description=FieldDescriptions.num_2) - def invoke(self, context: InvocationContext) -> IntOutput: - return IntOutput(a=self.a * self.b) + def invoke(self, context: InvocationContext) -> IntegerOutput: + return IntegerOutput(a=self.a * self.b) -class DivideInvocation(BaseInvocation, MathInvocationConfig): +@title("Divide Integers") +@tags("math") +class DivideInvocation(BaseInvocation): """Divides two numbers""" - # fmt: off type: Literal["div"] = "div" - a: int = Field(default=0, description="The first number") - b: int = Field(default=0, description="The second number") - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Divide", "tags": ["math", "divide"]}, - } + # Inputs + a: int = InputField(default=0, description=FieldDescriptions.num_1) + b: int = InputField(default=0, description=FieldDescriptions.num_2) - def invoke(self, context: InvocationContext) -> IntOutput: - return IntOutput(a=int(self.a / self.b)) + def invoke(self, context: InvocationContext) -> IntegerOutput: + return IntegerOutput(a=int(self.a / self.b)) +@title("Random Integer") +@tags("math") class RandomIntInvocation(BaseInvocation): """Outputs a single random integer.""" - # fmt: off type: Literal["rand_int"] = "rand_int" - low: int = Field(default=0, description="The inclusive low value") - high: int = Field( - default=np.iinfo(np.int32).max, description="The exclusive high value" - ) - # fmt: on - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Random Integer", "tags": ["math", "random", "integer"]}, - } + # Inputs + low: int = InputField(default=0, description="The inclusive low value") + high: int = InputField(default=np.iinfo(np.int32).max, description="The exclusive high value") - def invoke(self, context: InvocationContext) -> IntOutput: - return IntOutput(a=np.random.randint(self.low, self.high)) + def invoke(self, context: InvocationContext) -> IntegerOutput: + return IntegerOutput(a=np.random.randint(self.low, self.high)) diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py index d0549f8539..679c610750 100644 --- a/invokeai/app/invocations/metadata.py +++ b/invokeai/app/invocations/metadata.py @@ -1,18 +1,22 @@ -from typing import Literal, Optional, Union +from typing import Literal, Optional from pydantic import Field -from ...version import __version__ from invokeai.app.invocations.baseinvocation import ( BaseInvocation, BaseInvocationOutput, - InvocationConfig, + InputField, InvocationContext, + OutputField, + tags, + title, ) 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 +from ...version import __version__ + class LoRAMetadataField(BaseModelExcludeNull): """LoRA metadata for an image generated in InvokeAI.""" @@ -43,37 +47,37 @@ class CoreMetadata(BaseModelExcludeNull): model: MainModelField = Field(description="The main model used for inference") controlnets: list[ControlField] = Field(description="The ControlNets used for inference") loras: list[LoRAMetadataField] = Field(description="The LoRAs used for inference") - vae: Union[VAEModelField, None] = Field( + vae: Optional[VAEModelField] = Field( default=None, description="The VAE used for decoding, if the main model's default was not used", ) # Latents-to-Latents - strength: Union[float, None] = Field( + strength: Optional[float] = Field( default=None, description="The strength used for latents-to-latents", ) - init_image: Union[str, None] = Field(default=None, description="The name of the initial image") + init_image: Optional[str] = Field(default=None, description="The name of the initial image") # SDXL - positive_style_prompt: Union[str, None] = Field(default=None, description="The positive style prompt parameter") - negative_style_prompt: Union[str, None] = Field(default=None, description="The negative style prompt parameter") + positive_style_prompt: Optional[str] = Field(default=None, description="The positive style prompt parameter") + negative_style_prompt: Optional[str] = Field(default=None, description="The negative style prompt parameter") # SDXL Refiner - refiner_model: Union[MainModelField, None] = Field(default=None, description="The SDXL Refiner model used") - refiner_cfg_scale: Union[float, None] = Field( + refiner_model: Optional[MainModelField] = Field(default=None, description="The SDXL Refiner model used") + refiner_cfg_scale: Optional[float] = Field( default=None, description="The classifier-free guidance scale parameter used for the refiner", ) - refiner_steps: Union[int, None] = Field(default=None, description="The number of steps used for the refiner") - refiner_scheduler: Union[str, None] = Field(default=None, description="The scheduler used for the refiner") - refiner_positive_aesthetic_store: Union[float, None] = Field( + refiner_steps: Optional[int] = Field(default=None, description="The number of steps used for the refiner") + refiner_scheduler: Optional[str] = Field(default=None, description="The scheduler used for the refiner") + refiner_positive_aesthetic_store: Optional[float] = Field( default=None, description="The aesthetic score used for the refiner" ) - refiner_negative_aesthetic_store: Union[float, None] = Field( + refiner_negative_aesthetic_store: Optional[float] = Field( default=None, description="The aesthetic score used for the refiner" ) - refiner_start: Union[float, None] = Field(default=None, description="The start value used for refiner denoising") + refiner_start: Optional[float] = Field(default=None, description="The start value used for refiner denoising") class ImageMetadata(BaseModelExcludeNull): @@ -91,69 +95,86 @@ class MetadataAccumulatorOutput(BaseInvocationOutput): type: Literal["metadata_accumulator_output"] = "metadata_accumulator_output" - metadata: CoreMetadata = Field(description="The core metadata for the image") + metadata: CoreMetadata = OutputField(description="The core metadata for the image") +@title("Metadata Accumulator") +@tags("metadata") class MetadataAccumulatorInvocation(BaseInvocation): """Outputs a Core Metadata Object""" type: Literal["metadata_accumulator"] = "metadata_accumulator" - generation_mode: str = Field( + generation_mode: str = InputField( description="The generation mode that output this image", ) - positive_prompt: str = Field(description="The positive prompt parameter") - negative_prompt: str = Field(description="The negative prompt parameter") - width: int = Field(description="The width parameter") - height: int = Field(description="The height parameter") - seed: int = Field(description="The seed used for noise generation") - rand_device: str = Field(description="The device used for random number generation") - 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( + positive_prompt: str = InputField(description="The positive prompt parameter") + negative_prompt: str = InputField(description="The negative prompt parameter") + width: int = InputField(description="The width parameter") + height: int = InputField(description="The height parameter") + seed: int = InputField(description="The seed used for noise generation") + rand_device: str = InputField(description="The device used for random number generation") + 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( description="The number of skipped CLIP layers", ) - model: MainModelField = Field(description="The main model used for inference") - controlnets: list[ControlField] = Field(description="The ControlNets used for inference") - loras: list[LoRAMetadataField] = Field(description="The LoRAs used for inference") - strength: Union[float, None] = Field( + model: MainModelField = InputField(description="The main model used for inference") + controlnets: list[ControlField] = InputField(description="The ControlNets used for inference") + loras: list[LoRAMetadataField] = InputField(description="The LoRAs used for inference") + strength: Optional[float] = InputField( default=None, description="The strength used for latents-to-latents", ) - init_image: Union[str, None] = Field(default=None, description="The name of the initial image") - vae: Union[VAEModelField, None] = Field( + init_image: Optional[str] = InputField( + default=None, + description="The name of the initial image", + ) + vae: Optional[VAEModelField] = InputField( default=None, description="The VAE used for decoding, if the main model's default was not used", ) # SDXL - positive_style_prompt: Union[str, None] = Field(default=None, description="The positive style prompt parameter") - negative_style_prompt: Union[str, None] = Field(default=None, description="The negative style prompt parameter") + positive_style_prompt: Optional[str] = InputField( + default=None, + description="The positive style prompt parameter", + ) + negative_style_prompt: Optional[str] = InputField( + default=None, + description="The negative style prompt parameter", + ) # SDXL Refiner - refiner_model: Union[MainModelField, None] = Field(default=None, description="The SDXL Refiner model used") - refiner_cfg_scale: Union[float, None] = Field( + refiner_model: Optional[MainModelField] = InputField( + default=None, + description="The SDXL Refiner model used", + ) + refiner_cfg_scale: Optional[float] = InputField( default=None, description="The classifier-free guidance scale parameter used for the refiner", ) - refiner_steps: Union[int, None] = Field(default=None, description="The number of steps used for the refiner") - refiner_scheduler: Union[str, None] = Field(default=None, description="The scheduler used for the refiner") - refiner_positive_aesthetic_score: Union[float, None] = Field( - default=None, description="The aesthetic score used for the refiner" + refiner_steps: Optional[int] = InputField( + default=None, + description="The number of steps used for the refiner", ) - refiner_negative_aesthetic_score: Union[float, None] = Field( - default=None, description="The aesthetic score used for the refiner" + refiner_scheduler: Optional[str] = InputField( + default=None, + description="The scheduler used for the refiner", + ) + refiner_positive_aesthetic_store: Optional[float] = InputField( + default=None, + description="The aesthetic score used for the refiner", + ) + refiner_negative_aesthetic_store: Optional[float] = InputField( + default=None, + description="The aesthetic score used for the refiner", + ) + refiner_start: Optional[float] = InputField( + default=None, + description="The start value used for refiner denoising", ) - refiner_start: Union[float, None] = Field(default=None, description="The start value used for refiner denoising") - - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Metadata Accumulator", - "tags": ["image", "metadata", "generation"], - }, - } def invoke(self, context: InvocationContext) -> MetadataAccumulatorOutput: """Collects and outputs a CoreMetadata object""" diff --git a/invokeai/app/invocations/model.py b/invokeai/app/invocations/model.py index 0d21f8f0ce..484a4d71e1 100644 --- a/invokeai/app/invocations/model.py +++ b/invokeai/app/invocations/model.py @@ -4,7 +4,18 @@ from typing import List, Literal, Optional, Union from pydantic import BaseModel, Field from ...backend.model_management import BaseModelType, ModelType, SubModelType -from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext +from .baseinvocation import ( + BaseInvocation, + BaseInvocationOutput, + FieldDescriptions, + InputField, + Input, + InvocationContext, + OutputField, + UIType, + tags, + title, +) class ModelInfo(BaseModel): @@ -39,13 +50,11 @@ class VaeField(BaseModel): class ModelLoaderOutput(BaseInvocationOutput): """Model loader output""" - # fmt: off type: Literal["model_loader_output"] = "model_loader_output" - unet: UNetField = Field(default=None, description="UNet submodel") - clip: ClipField = Field(default=None, description="Tokenizer and text_encoder submodels") - vae: VaeField = Field(default=None, description="Vae submodel") - # fmt: on + unet: UNetField = OutputField(description=FieldDescriptions.unet, title="UNet") + clip: ClipField = OutputField(description=FieldDescriptions.clip, title="CLIP") + vae: VaeField = OutputField(description=FieldDescriptions.vae, title="VAE") class MainModelField(BaseModel): @@ -63,24 +72,17 @@ class LoRAModelField(BaseModel): base_model: BaseModelType = Field(description="Base model") +@title("Main Model Loader") +@tags("model") class MainModelLoaderInvocation(BaseInvocation): """Loads a main model, outputting its submodels.""" type: Literal["main_model_loader"] = "main_model_loader" - model: MainModelField = Field(description="The model to load") + # Inputs + model: MainModelField = InputField(description=FieldDescriptions.main_model, input=Input.Direct) # TODO: precision? - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Model Loader", - "tags": ["model", "loader"], - "type_hints": {"model": "model"}, - }, - } - def invoke(self, context: InvocationContext) -> ModelLoaderOutput: base_model = self.model.base_model model_name = self.model.model_name @@ -155,22 +157,6 @@ class MainModelLoaderInvocation(BaseInvocation): loras=[], skipped_layers=0, ), - clip2=ClipField( - tokenizer=ModelInfo( - model_name=model_name, - base_model=base_model, - model_type=model_type, - submodel=SubModelType.Tokenizer2, - ), - text_encoder=ModelInfo( - model_name=model_name, - base_model=base_model, - model_type=model_type, - submodel=SubModelType.TextEncoder2, - ), - loras=[], - skipped_layers=0, - ), vae=VaeField( vae=ModelInfo( model_name=model_name, @@ -188,30 +174,27 @@ class LoraLoaderOutput(BaseInvocationOutput): # fmt: off type: Literal["lora_loader_output"] = "lora_loader_output" - unet: Optional[UNetField] = Field(default=None, description="UNet submodel") - clip: Optional[ClipField] = Field(default=None, description="Tokenizer and text_encoder submodels") + unet: Optional[UNetField] = OutputField(default=None, description=FieldDescriptions.unet, title="UNet") + clip: Optional[ClipField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP") # fmt: on +@title("LoRA Loader") +@tags("lora", "model") class LoraLoaderInvocation(BaseInvocation): """Apply selected lora to unet and text_encoder.""" type: Literal["lora_loader"] = "lora_loader" - lora: Union[LoRAModelField, None] = Field(default=None, description="Lora model name") - weight: float = Field(default=0.75, description="With what weight to apply lora") - - unet: Optional[UNetField] = Field(description="UNet model for applying lora") - clip: Optional[ClipField] = Field(description="Clip model for applying lora") - - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Lora Loader", - "tags": ["lora", "loader"], - "type_hints": {"lora": "lora_model"}, - }, - } + # Inputs + lora: LoRAModelField = InputField(description=FieldDescriptions.lora_model, input=Input.Direct, title="LoRA") + weight: float = InputField(default=0.75, description=FieldDescriptions.lora_weight) + unet: Optional[UNetField] = InputField( + default=None, description=FieldDescriptions.unet, input=Input.Connection, title="UNet" + ) + clip: Optional[ClipField] = InputField( + default=None, description=FieldDescriptions.clip, input=Input.Connection, title="CLIP" + ) def invoke(self, context: InvocationContext) -> LoraLoaderOutput: if self.lora is None: @@ -263,37 +246,35 @@ class LoraLoaderInvocation(BaseInvocation): class SDXLLoraLoaderOutput(BaseInvocationOutput): - """Model loader output""" + """SDXL LoRA Loader Output""" # fmt: off type: Literal["sdxl_lora_loader_output"] = "sdxl_lora_loader_output" - unet: Optional[UNetField] = Field(default=None, description="UNet submodel") - clip: Optional[ClipField] = Field(default=None, description="Tokenizer and text_encoder submodels") - clip2: Optional[ClipField] = Field(default=None, description="Tokenizer2 and text_encoder2 submodels") + unet: Optional[UNetField] = OutputField(default=None, description=FieldDescriptions.unet, title="UNet") + clip: Optional[ClipField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP 1") + clip2: Optional[ClipField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP 2") # fmt: on +@title("SDXL LoRA Loader") +@tags("sdxl", "lora", "model") class SDXLLoraLoaderInvocation(BaseInvocation): """Apply selected lora to unet and text_encoder.""" type: Literal["sdxl_lora_loader"] = "sdxl_lora_loader" - lora: Union[LoRAModelField, None] = Field(default=None, description="Lora model name") - weight: float = Field(default=0.75, description="With what weight to apply lora") - - unet: Optional[UNetField] = Field(description="UNet model for applying lora") - clip: Optional[ClipField] = Field(description="Clip model for applying lora") - clip2: Optional[ClipField] = Field(description="Clip2 model for applying lora") - - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "SDXL Lora Loader", - "tags": ["lora", "loader"], - "type_hints": {"lora": "lora_model"}, - }, - } + lora: LoRAModelField = InputField(description=FieldDescriptions.lora_model, input=Input.Direct, title="LoRA") + weight: float = Field(default=0.75, description=FieldDescriptions.lora_weight) + unet: Optional[UNetField] = Field( + default=None, description=FieldDescriptions.unet, input=Input.Connection, title="UNET" + ) + clip: Optional[ClipField] = Field( + default=None, description=FieldDescriptions.clip, input=Input.Connection, title="CLIP 1" + ) + clip2: Optional[ClipField] = Field( + default=None, description=FieldDescriptions.clip, input=Input.Connection, title="CLIP 2" + ) def invoke(self, context: InvocationContext) -> SDXLLoraLoaderOutput: if self.lora is None: @@ -369,29 +350,23 @@ class VAEModelField(BaseModel): class VaeLoaderOutput(BaseInvocationOutput): """Model loader output""" - # fmt: off type: Literal["vae_loader_output"] = "vae_loader_output" - vae: VaeField = Field(default=None, description="Vae model") - # fmt: on + # Outputs + vae: VaeField = OutputField(description=FieldDescriptions.vae, title="VAE") +@title("VAE Loader") +@tags("vae", "model") class VaeLoaderInvocation(BaseInvocation): """Loads a VAE model, outputting a VaeLoaderOutput""" type: Literal["vae_loader"] = "vae_loader" - vae_model: VAEModelField = Field(description="The VAE to load") - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "VAE Loader", - "tags": ["vae", "loader"], - "type_hints": {"vae_model": "vae_model"}, - }, - } + # Inputs + vae_model: VAEModelField = InputField( + description=FieldDescriptions.vae_model, input=Input.Direct, ui_type=UIType.VaeModel, title="VAE" + ) def invoke(self, context: InvocationContext) -> VaeLoaderOutput: base_model = self.vae_model.base_model diff --git a/invokeai/app/invocations/noise.py b/invokeai/app/invocations/noise.py index db64e5b6e5..6fae308fdc 100644 --- a/invokeai/app/invocations/noise.py +++ b/invokeai/app/invocations/noise.py @@ -1,19 +1,24 @@ # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654) & the InvokeAI Team -import math from typing import Literal -from pydantic import Field, validator import torch -from invokeai.app.invocations.latent import LatentsField +from pydantic import validator +from invokeai.app.invocations.latent import LatentsField from invokeai.app.util.misc import SEED_MAX, get_random_seed + from ...backend.util.devices import choose_torch_device, torch_dtype from .baseinvocation import ( BaseInvocation, BaseInvocationOutput, - InvocationConfig, + FieldDescriptions, + InputField, InvocationContext, + OutputField, + UIType, + tags, + title, ) """ @@ -61,14 +66,12 @@ Nodes class NoiseOutput(BaseInvocationOutput): """Invocation noise output""" - # fmt: off - type: Literal["noise_output"] = "noise_output" + type: Literal["noise_output"] = "noise_output" # Inputs - noise: LatentsField = Field(default=None, description="The output noise") - width: int = Field(description="The width of the noise in pixels") - height: int = Field(description="The height of the noise in pixels") - # fmt: on + noise: LatentsField = OutputField(default=None, description=FieldDescriptions.noise) + width: int = OutputField(description=FieldDescriptions.width) + height: int = OutputField(description=FieldDescriptions.height) def build_noise_output(latents_name: str, latents: torch.Tensor, seed: int): @@ -79,44 +82,37 @@ def build_noise_output(latents_name: str, latents: torch.Tensor, seed: int): ) +@title("Noise") +@tags("latents", "noise") class NoiseInvocation(BaseInvocation): """Generates latent noise.""" type: Literal["noise"] = "noise" # Inputs - seed: int = Field( + seed: int = InputField( ge=0, le=SEED_MAX, - description="The seed to use", + description=FieldDescriptions.seed, default_factory=get_random_seed, ) - width: int = Field( + width: int = InputField( default=512, multiple_of=8, gt=0, - description="The width of the resulting noise", + description=FieldDescriptions.width, ) - height: int = Field( + height: int = InputField( default=512, multiple_of=8, gt=0, - description="The height of the resulting noise", + description=FieldDescriptions.height, ) - use_cpu: bool = Field( + use_cpu: bool = InputField( default=True, description="Use CPU for noise generation (for reproducible results across platforms)", ) - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Noise", - "tags": ["latents", "noise"], - }, - } - @validator("seed", pre=True) def modulo_seed(cls, v): """Returns the seed modulo (SEED_MAX + 1) to ensure it is within the valid range.""" diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py index 4f04a4f023..6cff56fb2e 100644 --- a/invokeai/app/invocations/onnx.py +++ b/invokeai/app/invocations/onnx.py @@ -1,37 +1,43 @@ # Copyright (c) 2023 Borisov Sergey (https://github.com/StAlKeR7779) +import inspect +import re from contextlib import ExitStack from typing import List, Literal, Optional, Union -import re -import inspect - -from pydantic import BaseModel, Field, validator -import torch import numpy as np +import torch from diffusers import ControlNetModel, DPMSolverMultistepScheduler from diffusers.image_processor import VaeImageProcessor from diffusers.schedulers import SchedulerMixin as Scheduler - -from ..models.image import ImageCategory, ImageField, ResourceOrigin -from ...backend.model_management import ONNXModelPatcher -from ...backend.util import choose_torch_device -from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext -from .compel import ConditioningField -from .controlnet_image_processors import ControlField -from .image import ImageOutput -from .model import ModelInfo, UNetField, VaeField +from pydantic import BaseModel, Field, validator +from tqdm import tqdm from invokeai.app.invocations.metadata import CoreMetadata -from invokeai.backend import BaseModelType, ModelType, SubModelType +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 + +from ...backend.model_management import ONNXModelPatcher from ...backend.stable_diffusion import PipelineIntermediateState - -from tqdm import tqdm -from .model import ClipField -from .latent import LatentsField, LatentsOutput, build_latents_output, get_scheduler, SAMPLER_NAME_VALUES -from .compel import CompelOutput - +from ...backend.util import choose_torch_device +from ..models.image import ImageCategory, ResourceOrigin +from .baseinvocation import ( + BaseInvocation, + BaseInvocationOutput, + FieldDescriptions, + InputField, + Input, + InvocationContext, + OutputField, + UIComponent, + UIType, + tags, + title, +) +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 = { "tensor(bool)": np.bool_, @@ -51,13 +57,15 @@ ORT_TO_NP_TYPE = { PRECISION_VALUES = Literal[tuple(list(ORT_TO_NP_TYPE.keys()))] +@title("ONNX Prompt (Raw)") +@tags("onnx", "prompt") class ONNXPromptInvocation(BaseInvocation): type: Literal["prompt_onnx"] = "prompt_onnx" - prompt: str = Field(default="", description="Prompt") - clip: ClipField = Field(None, description="Clip to use") + prompt: str = InputField(default="", description=FieldDescriptions.raw_prompt, ui_component=UIComponent.Textarea) + clip: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection) - def invoke(self, context: InvocationContext) -> CompelOutput: + def invoke(self, context: InvocationContext) -> ConditioningOutput: tokenizer_info = context.services.model_manager.get_model( **self.clip.tokenizer.dict(), ) @@ -126,7 +134,7 @@ class ONNXPromptInvocation(BaseInvocation): # TODO: hacky but works ;D maybe rename latents somehow? context.services.latents.save(conditioning_name, (prompt_embeds, None)) - return CompelOutput( + return ConditioningOutput( conditioning=ConditioningField( conditioning_name=conditioning_name, ), @@ -134,25 +142,48 @@ class ONNXPromptInvocation(BaseInvocation): # Text to image +@title("ONNX Text to Latents") +@tags("latents", "inference", "txt2img", "onnx") class ONNXTextToLatentsInvocation(BaseInvocation): """Generates latents from conditionings.""" type: Literal["t2l_onnx"] = "t2l_onnx" # Inputs - # fmt: off - positive_conditioning: Optional[ConditioningField] = Field(description="Positive conditioning for generation") - negative_conditioning: Optional[ConditioningField] = Field(description="Negative conditioning for generation") - noise: Optional[LatentsField] = Field(description="The noise to use") - steps: int = Field(default=10, gt=0, description="The number of steps to use to generate the image") - cfg_scale: Union[float, List[float]] = Field(default=7.5, ge=1, description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", ) - scheduler: SAMPLER_NAME_VALUES = Field(default="euler", description="The scheduler to use" ) - precision: PRECISION_VALUES = Field(default = "tensor(float16)", description="The precision to use when generating latents") - unet: UNetField = Field(default=None, description="UNet submodel") - control: Union[ControlField, list[ControlField]] = Field(default=None, description="The control to use") - # seamless: bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", ) - # seamless_axes: str = Field(default="", description="The axes to tile the image on, 'x' and/or 'y'") - # fmt: on + positive_conditioning: ConditioningField = InputField( + description=FieldDescriptions.positive_cond, + input=Input.Connection, + ) + negative_conditioning: ConditioningField = InputField( + description=FieldDescriptions.negative_cond, + input=Input.Connection, + ) + noise: LatentsField = InputField( + description=FieldDescriptions.noise, + input=Input.Connection, + ) + 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, + ) + scheduler: SAMPLER_NAME_VALUES = InputField( + default="euler", description=FieldDescriptions.scheduler, input=Input.Direct + ) + precision: PRECISION_VALUES = InputField(default="tensor(float16)", description=FieldDescriptions.precision) + unet: UNetField = InputField( + description=FieldDescriptions.unet, + input=Input.Connection, + ) + 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'") @validator("cfg_scale") def ge_one(cls, v): @@ -166,20 +197,6 @@ class ONNXTextToLatentsInvocation(BaseInvocation): raise ValueError("cfg_scale must be greater than 1") return v - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "tags": ["latents"], - "type_hints": { - "model": "model", - "control": "control", - # "cfg_scale": "float", - "cfg_scale": "number", - }, - }, - } - # based on # https://github.com/huggingface/diffusers/blob/3ebbaf7c96801271f9e6c21400033b6aa5ffcf29/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py#L375 def invoke(self, context: InvocationContext) -> LatentsOutput: @@ -300,26 +317,28 @@ class ONNXTextToLatentsInvocation(BaseInvocation): # Latent to image +@title("ONNX Latents to Image") +@tags("latents", "image", "vae", "onnx") class ONNXLatentsToImageInvocation(BaseInvocation): """Generates an image from latents.""" type: Literal["l2i_onnx"] = "l2i_onnx" # Inputs - latents: Optional[LatentsField] = Field(description="The latents to generate an image from") - vae: VaeField = Field(default=None, description="Vae submodel") - metadata: Optional[CoreMetadata] = Field( - default=None, description="Optional core metadata to be written to the image" + latents: LatentsField = InputField( + description=FieldDescriptions.denoised_latents, + input=Input.Connection, ) - # tiled: bool = Field(default=False, description="Decode latents by overlaping tiles(less memory consumption)") - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "tags": ["latents", "image"], - }, - } + vae: VaeField = InputField( + description=FieldDescriptions.vae, + input=Input.Connection, + ) + metadata: Optional[CoreMetadata] = InputField( + default=None, + description=FieldDescriptions.core_metadata, + ui_hidden=True, + ) + # tiled: bool = InputField(default=False, description="Decode latents by overlaping tiles(less memory consumption)") def invoke(self, context: InvocationContext) -> ImageOutput: latents = context.services.latents.get(self.latents.latents_name) @@ -373,89 +392,13 @@ class ONNXModelLoaderOutput(BaseInvocationOutput): # fmt: off type: Literal["model_loader_output_onnx"] = "model_loader_output_onnx" - unet: UNetField = Field(default=None, description="UNet submodel") - clip: ClipField = Field(default=None, description="Tokenizer and text_encoder submodels") - vae_decoder: VaeField = Field(default=None, description="Vae submodel") - vae_encoder: VaeField = Field(default=None, description="Vae submodel") + unet: UNetField = OutputField(default=None, description=FieldDescriptions.unet, title="UNet") + clip: ClipField = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP") + vae_decoder: VaeField = OutputField(default=None, description=FieldDescriptions.vae, title="VAE Decoder") + vae_encoder: VaeField = OutputField(default=None, description=FieldDescriptions.vae, title="VAE Encoder") # fmt: on -class ONNXSD1ModelLoaderInvocation(BaseInvocation): - """Loading submodels of selected model.""" - - type: Literal["sd1_model_loader_onnx"] = "sd1_model_loader_onnx" - - model_name: str = Field(default="", description="Model to load") - # TODO: precision? - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": {"tags": ["model", "loader"], "type_hints": {"model_name": "model"}}, # TODO: rename to model_name? - } - - def invoke(self, context: InvocationContext) -> ONNXModelLoaderOutput: - model_name = "stable-diffusion-v1-5" - base_model = BaseModelType.StableDiffusion1 - - # TODO: not found exceptions - if not context.services.model_manager.model_exists( - model_name=model_name, - base_model=BaseModelType.StableDiffusion1, - model_type=ModelType.ONNX, - ): - raise Exception(f"Unkown model name: {model_name}!") - - return ONNXModelLoaderOutput( - unet=UNetField( - unet=ModelInfo( - model_name=model_name, - base_model=base_model, - model_type=ModelType.ONNX, - submodel=SubModelType.UNet, - ), - scheduler=ModelInfo( - model_name=model_name, - base_model=base_model, - model_type=ModelType.ONNX, - submodel=SubModelType.Scheduler, - ), - loras=[], - ), - clip=ClipField( - tokenizer=ModelInfo( - model_name=model_name, - base_model=base_model, - model_type=ModelType.ONNX, - submodel=SubModelType.Tokenizer, - ), - text_encoder=ModelInfo( - model_name=model_name, - base_model=base_model, - model_type=ModelType.ONNX, - submodel=SubModelType.TextEncoder, - ), - loras=[], - ), - vae_decoder=VaeField( - vae=ModelInfo( - model_name=model_name, - base_model=base_model, - model_type=ModelType.ONNX, - submodel=SubModelType.VaeDecoder, - ), - ), - vae_encoder=VaeField( - vae=ModelInfo( - model_name=model_name, - base_model=base_model, - model_type=ModelType.ONNX, - submodel=SubModelType.VaeEncoder, - ), - ), - ) - - class OnnxModelField(BaseModel): """Onnx model field""" @@ -464,22 +407,17 @@ class OnnxModelField(BaseModel): model_type: ModelType = Field(description="Model Type") +@title("ONNX Model Loader") +@tags("onnx", "model") class OnnxModelLoaderInvocation(BaseInvocation): """Loads a main model, outputting its submodels.""" type: Literal["onnx_model_loader"] = "onnx_model_loader" - model: OnnxModelField = Field(description="The model to load") - - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "Onnx Model Loader", - "tags": ["model", "loader"], - "type_hints": {"model": "model"}, - }, - } + # Inputs + model: OnnxModelField = InputField( + description=FieldDescriptions.onnx_main_model, input=Input.Direct, ui_type=UIType.ONNXModel + ) def invoke(self, context: InvocationContext) -> ONNXModelLoaderOutput: base_model = self.model.base_model diff --git a/invokeai/app/invocations/param_easing.py b/invokeai/app/invocations/param_easing.py index f910e5379c..67f96b0c34 100644 --- a/invokeai/app/invocations/param_easing.py +++ b/invokeai/app/invocations/param_easing.py @@ -1,73 +1,64 @@ import io -from typing import Literal, Optional, Any +from typing import Literal, Optional -# from PIL.Image import Image -import PIL.Image -from matplotlib.ticker import MaxNLocator -from matplotlib.figure import Figure - -from pydantic import BaseModel, Field -import numpy as np import matplotlib.pyplot as plt +import numpy as np +import PIL.Image from easing_functions import ( - LinearInOut, - QuadEaseInOut, - QuadEaseIn, - QuadEaseOut, - CubicEaseInOut, - CubicEaseIn, - CubicEaseOut, - QuarticEaseInOut, - QuarticEaseIn, - QuarticEaseOut, - QuinticEaseInOut, - QuinticEaseIn, - QuinticEaseOut, - SineEaseInOut, - SineEaseIn, - SineEaseOut, - CircularEaseIn, - CircularEaseInOut, - CircularEaseOut, - ExponentialEaseInOut, - ExponentialEaseIn, - ExponentialEaseOut, - ElasticEaseIn, - ElasticEaseInOut, - ElasticEaseOut, BackEaseIn, BackEaseInOut, BackEaseOut, BounceEaseIn, BounceEaseInOut, BounceEaseOut, + CircularEaseIn, + CircularEaseInOut, + CircularEaseOut, + CubicEaseIn, + CubicEaseInOut, + CubicEaseOut, + ElasticEaseIn, + ElasticEaseInOut, + ElasticEaseOut, + ExponentialEaseIn, + ExponentialEaseInOut, + ExponentialEaseOut, + LinearInOut, + QuadEaseIn, + QuadEaseInOut, + QuadEaseOut, + QuarticEaseIn, + QuarticEaseInOut, + QuarticEaseOut, + QuinticEaseIn, + QuinticEaseInOut, + QuinticEaseOut, + SineEaseIn, + SineEaseInOut, + SineEaseOut, ) +from matplotlib.figure import Figure +from matplotlib.ticker import MaxNLocator +from pydantic import BaseModel, Field + +from invokeai.app.invocations.primitives import FloatCollectionOutput -from .baseinvocation import ( - BaseInvocation, - BaseInvocationOutput, - InvocationContext, - InvocationConfig, -) from ...backend.util.logging import InvokeAILogger -from .collections import FloatCollectionOutput +from .baseinvocation import BaseInvocation, InputField, InvocationContext, tags, title +@title("Float Range") +@tags("math", "range") class FloatLinearRangeInvocation(BaseInvocation): """Creates a range""" type: Literal["float_range"] = "float_range" # Inputs - start: float = Field(default=5, description="The first value of the range") - stop: float = Field(default=10, description="The last value of the range") - steps: int = Field(default=30, description="number of values to interpolate over (including start and stop)") - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Linear Range (Float)", "tags": ["math", "float", "linear", "range"]}, - } + start: float = InputField(default=5, description="The first value of the range") + stop: float = InputField(default=10, description="The last value of the range") + steps: int = InputField(default=30, description="number of values to interpolate over (including start and stop)") def invoke(self, context: InvocationContext) -> FloatCollectionOutput: param_list = list(np.linspace(self.start, self.stop, self.steps)) @@ -108,37 +99,32 @@ EASING_FUNCTIONS_MAP = { "BounceInOut": BounceEaseInOut, } -EASING_FUNCTION_KEYS: Any = Literal[tuple(list(EASING_FUNCTIONS_MAP.keys()))] +EASING_FUNCTION_KEYS = Literal[tuple(list(EASING_FUNCTIONS_MAP.keys()))] # actually I think for now could just use CollectionOutput (which is list[Any] +@title("Step Param Easing") +@tags("step", "easing") class StepParamEasingInvocation(BaseInvocation): """Experimental per-step parameter easing for denoising steps""" type: Literal["step_param_easing"] = "step_param_easing" # Inputs - # fmt: off - easing: EASING_FUNCTION_KEYS = Field(default="Linear", description="The easing function to use") - num_steps: int = Field(default=20, description="number of denoising steps") - start_value: float = Field(default=0.0, description="easing starting value") - end_value: float = Field(default=1.0, description="easing ending value") - start_step_percent: float = Field(default=0.0, description="fraction of steps at which to start easing") - end_step_percent: float = Field(default=1.0, description="fraction of steps after which to end easing") + easing: EASING_FUNCTION_KEYS = InputField(default="Linear", description="The easing function to use") + num_steps: int = InputField(default=20, description="number of denoising steps") + start_value: float = InputField(default=0.0, description="easing starting value") + end_value: float = InputField(default=1.0, description="easing ending value") + start_step_percent: float = InputField(default=0.0, description="fraction of steps at which to start easing") + end_step_percent: float = InputField(default=1.0, description="fraction of steps after which to end easing") # if None, then start_value is used prior to easing start - pre_start_value: Optional[float] = Field(default=None, description="value before easing start") + pre_start_value: Optional[float] = InputField(default=None, description="value before easing start") # if None, then end value is used prior to easing end - post_end_value: Optional[float] = Field(default=None, description="value after easing end") - mirror: bool = Field(default=False, description="include mirror of easing function") + post_end_value: Optional[float] = InputField(default=None, description="value after easing end") + mirror: bool = InputField(default=False, description="include mirror of easing function") # FIXME: add alt_mirror option (alternative to default or mirror), or remove entirely - # alt_mirror: bool = Field(default=False, description="alternative mirroring by dual easing") - show_easing_plot: bool = Field(default=False, description="show easing plot") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Param Easing By Step", "tags": ["param", "step", "easing"]}, - } + # alt_mirror: bool = InputField(default=False, description="alternative mirroring by dual easing") + show_easing_plot: bool = InputField(default=False, description="show easing plot") def invoke(self, context: InvocationContext) -> FloatCollectionOutput: log_diagnostics = False diff --git a/invokeai/app/invocations/params.py b/invokeai/app/invocations/params.py deleted file mode 100644 index 513eb8762f..0000000000 --- a/invokeai/app/invocations/params.py +++ /dev/null @@ -1,83 +0,0 @@ -# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654) - -from typing import Literal - -from pydantic import Field - -from invokeai.app.invocations.prompt import PromptOutput - -from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext -from .math import FloatOutput, IntOutput - -# Pass-through parameter nodes - used by subgraphs - - -class ParamIntInvocation(BaseInvocation): - """An integer parameter""" - - # fmt: off - type: Literal["param_int"] = "param_int" - a: int = Field(default=0, description="The integer value") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"tags": ["param", "integer"], "title": "Integer Parameter"}, - } - - def invoke(self, context: InvocationContext) -> IntOutput: - return IntOutput(a=self.a) - - -class ParamFloatInvocation(BaseInvocation): - """A float parameter""" - - # fmt: off - type: Literal["param_float"] = "param_float" - param: float = Field(default=0.0, description="The float value") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"tags": ["param", "float"], "title": "Float Parameter"}, - } - - def invoke(self, context: InvocationContext) -> FloatOutput: - return FloatOutput(param=self.param) - - -class StringOutput(BaseInvocationOutput): - """A string output""" - - type: Literal["string_output"] = "string_output" - text: str = Field(default=None, description="The output string") - - -class ParamStringInvocation(BaseInvocation): - """A string parameter""" - - type: Literal["param_string"] = "param_string" - text: str = Field(default="", description="The string value") - - class Config(InvocationConfig): - schema_extra = { - "ui": {"tags": ["param", "string"], "title": "String Parameter"}, - } - - def invoke(self, context: InvocationContext) -> StringOutput: - return StringOutput(text=self.text) - - -class ParamPromptInvocation(BaseInvocation): - """A prompt input parameter""" - - type: Literal["param_prompt"] = "param_prompt" - prompt: str = Field(default="", description="The prompt value") - - class Config(InvocationConfig): - schema_extra = { - "ui": {"tags": ["param", "prompt"], "title": "Prompt"}, - } - - def invoke(self, context: InvocationContext) -> PromptOutput: - return PromptOutput(prompt=self.prompt) diff --git a/invokeai/app/invocations/primitives.py b/invokeai/app/invocations/primitives.py new file mode 100644 index 0000000000..61ef9fa27c --- /dev/null +++ b/invokeai/app/invocations/primitives.py @@ -0,0 +1,494 @@ +# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654) + +from typing import Literal, Optional, Tuple, Union +from anyio import Condition + +from pydantic import BaseModel, Field +import torch + +from .baseinvocation import ( + BaseInvocation, + BaseInvocationOutput, + FieldDescriptions, + Input, + InputField, + InvocationContext, + OutputField, + UIComponent, + UIType, + tags, + title, +) + +""" +Primitives: Boolean, Integer, Float, String, Image, Latents, Conditioning, Color +- primitive nodes +- primitive outputs +- primitive collection outputs +""" + +# region Boolean + + +class BooleanOutput(BaseInvocationOutput): + """Base class for nodes that output a single boolean""" + + type: Literal["boolean_output"] = "boolean_output" + a: bool = OutputField(description="The output boolean") + + +class BooleanCollectionOutput(BaseInvocationOutput): + """Base class for nodes that output a collection of booleans""" + + type: Literal["boolean_collection_output"] = "boolean_collection_output" + + # Outputs + collection: list[bool] = OutputField( + default_factory=list, description="The output boolean collection", ui_type=UIType.BooleanCollection + ) + + +@title("Boolean Primitive") +@tags("primitives", "boolean") +class BooleanInvocation(BaseInvocation): + """A boolean primitive value""" + + type: Literal["boolean"] = "boolean" + + # Inputs + a: bool = InputField(default=False, description="The boolean value") + + def invoke(self, context: InvocationContext) -> BooleanOutput: + return BooleanOutput(a=self.a) + + +@title("Boolean Primitive Collection") +@tags("primitives", "boolean", "collection") +class BooleanCollectionInvocation(BaseInvocation): + """A collection of boolean primitive values""" + + type: Literal["boolean_collection"] = "boolean_collection" + + # Inputs + collection: list[bool] = InputField( + default=False, description="The collection of boolean values", ui_type=UIType.BooleanCollection + ) + + def invoke(self, context: InvocationContext) -> BooleanCollectionOutput: + return BooleanCollectionOutput(collection=self.collection) + + +# endregion + +# region Integer + + +class IntegerOutput(BaseInvocationOutput): + """Base class for nodes that output a single integer""" + + type: Literal["integer_output"] = "integer_output" + a: int = OutputField(description="The output integer") + + +class IntegerCollectionOutput(BaseInvocationOutput): + """Base class for nodes that output a collection of integers""" + + type: Literal["integer_collection_output"] = "integer_collection_output" + + # Outputs + collection: list[int] = OutputField( + default_factory=list, description="The int collection", ui_type=UIType.IntegerCollection + ) + + +@title("Integer Primitive") +@tags("primitives", "integer") +class IntegerInvocation(BaseInvocation): + """An integer primitive value""" + + type: Literal["integer"] = "integer" + + # Inputs + a: int = InputField(default=0, description="The integer value") + + def invoke(self, context: InvocationContext) -> IntegerOutput: + return IntegerOutput(a=self.a) + + +@title("Integer Primitive Collection") +@tags("primitives", "integer", "collection") +class IntegerCollectionInvocation(BaseInvocation): + """A collection of integer primitive values""" + + type: Literal["integer_collection"] = "integer_collection" + + # Inputs + collection: list[int] = InputField( + default=0, description="The collection of integer values", ui_type=UIType.IntegerCollection + ) + + def invoke(self, context: InvocationContext) -> IntegerCollectionOutput: + return IntegerCollectionOutput(collection=self.collection) + + +# endregion + +# region Float + + +class FloatOutput(BaseInvocationOutput): + """Base class for nodes that output a single float""" + + type: Literal["float_output"] = "float_output" + a: float = OutputField(description="The output float") + + +class FloatCollectionOutput(BaseInvocationOutput): + """Base class for nodes that output a collection of floats""" + + type: Literal["float_collection_output"] = "float_collection_output" + + # Outputs + collection: list[float] = OutputField( + default_factory=list, description="The float collection", ui_type=UIType.FloatCollection + ) + + +@title("Float Primitive") +@tags("primitives", "float") +class FloatInvocation(BaseInvocation): + """A float primitive value""" + + type: Literal["float"] = "float" + + # Inputs + param: float = InputField(default=0.0, description="The float value") + + def invoke(self, context: InvocationContext) -> FloatOutput: + return FloatOutput(a=self.param) + + +@title("Float Primitive Collection") +@tags("primitives", "float", "collection") +class FloatCollectionInvocation(BaseInvocation): + """A collection of float primitive values""" + + type: Literal["float_collection"] = "float_collection" + + # Inputs + collection: list[float] = InputField( + default=0, description="The collection of float values", ui_type=UIType.FloatCollection + ) + + def invoke(self, context: InvocationContext) -> FloatCollectionOutput: + return FloatCollectionOutput(collection=self.collection) + + +# endregion + +# region String + + +class StringOutput(BaseInvocationOutput): + """Base class for nodes that output a single string""" + + type: Literal["string_output"] = "string_output" + text: str = OutputField(description="The output string") + + +class StringCollectionOutput(BaseInvocationOutput): + """Base class for nodes that output a collection of strings""" + + type: Literal["string_collection_output"] = "string_collection_output" + + # Outputs + collection: list[str] = OutputField( + default_factory=list, description="The output strings", ui_type=UIType.StringCollection + ) + + +@title("String Primitive") +@tags("primitives", "string") +class StringInvocation(BaseInvocation): + """A string primitive value""" + + type: Literal["string"] = "string" + + # Inputs + text: str = InputField(default="", description="The string value", ui_component=UIComponent.Textarea) + + def invoke(self, context: InvocationContext) -> StringOutput: + return StringOutput(text=self.text) + + +@title("String Primitive Collection") +@tags("primitives", "string", "collection") +class StringCollectionInvocation(BaseInvocation): + """A collection of string primitive values""" + + type: Literal["string_collection"] = "string_collection" + + # Inputs + collection: list[str] = InputField( + default=0, description="The collection of string values", ui_type=UIType.StringCollection + ) + + def invoke(self, context: InvocationContext) -> StringCollectionOutput: + return StringCollectionOutput(collection=self.collection) + + +# endregion + +# region Image + + +class ImageField(BaseModel): + """An image primitive field""" + + image_name: str = Field(description="The name of the image") + + +class ImageOutput(BaseInvocationOutput): + """Base class for nodes that output a single image""" + + type: Literal["image_output"] = "image_output" + image: ImageField = OutputField(description="The output image") + width: int = OutputField(description="The width of the image in pixels") + height: int = OutputField(description="The height of the image in pixels") + + +class ImageCollectionOutput(BaseInvocationOutput): + """Base class for nodes that output a collection of images""" + + type: Literal["image_collection_output"] = "image_collection_output" + + # Outputs + collection: list[ImageField] = OutputField( + default_factory=list, description="The output images", ui_type=UIType.ImageCollection + ) + + +@title("Image Primitive") +@tags("primitives", "image") +class ImageInvocation(BaseInvocation): + """An image primitive value""" + + # Metadata + type: Literal["image"] = "image" + + # Inputs + image: ImageField = InputField(description="The image to load") + + def invoke(self, context: InvocationContext) -> ImageOutput: + image = context.services.images.get_pil_image(self.image.image_name) + + return ImageOutput( + image=ImageField(image_name=self.image.image_name), + width=image.width, + height=image.height, + ) + + +@title("Image Primitive Collection") +@tags("primitives", "image", "collection") +class ImageCollectionInvocation(BaseInvocation): + """A collection of image primitive values""" + + type: Literal["image_collection"] = "image_collection" + + # Inputs + collection: list[ImageField] = InputField( + default=0, description="The collection of image values", ui_type=UIType.ImageCollection + ) + + def invoke(self, context: InvocationContext) -> ImageCollectionOutput: + return ImageCollectionOutput(collection=self.collection) + + +# endregion + +# region Latents + + +class LatentsField(BaseModel): + """A latents tensor primitive field""" + + latents_name: str = Field(description="The name of the latents") + seed: Optional[int] = Field(default=None, description="Seed used to generate this latents") + + +class LatentsOutput(BaseInvocationOutput): + """Base class for nodes that output a single latents tensor""" + + type: Literal["latents_output"] = "latents_output" + + latents: LatentsField = OutputField( + description=FieldDescriptions.latents, + ) + width: int = OutputField(description=FieldDescriptions.width) + height: int = OutputField(description=FieldDescriptions.height) + + +class LatentsCollectionOutput(BaseInvocationOutput): + """Base class for nodes that output a collection of latents tensors""" + + type: Literal["latents_collection_output"] = "latents_collection_output" + + collection: list[LatentsField] = OutputField( + default_factory=list, + description=FieldDescriptions.latents, + ui_type=UIType.LatentsCollection, + ) + + +@title("Latents Primitive") +@tags("primitives", "latents") +class LatentsInvocation(BaseInvocation): + """A latents tensor primitive value""" + + type: Literal["latents"] = "latents" + + # Inputs + latents: LatentsField = InputField(description="The latents tensor", input=Input.Connection) + + def invoke(self, context: InvocationContext) -> LatentsOutput: + latents = context.services.latents.get(self.latents.latents_name) + + return build_latents_output(self.latents.latents_name, latents) + + +@title("Latents Primitive Collection") +@tags("primitives", "latents", "collection") +class LatentsCollectionInvocation(BaseInvocation): + """A collection of latents tensor primitive values""" + + type: Literal["latents_collection"] = "latents_collection" + + # Inputs + collection: list[LatentsField] = InputField( + default=0, description="The collection of latents tensors", ui_type=UIType.LatentsCollection + ) + + def invoke(self, context: InvocationContext) -> LatentsCollectionOutput: + return LatentsCollectionOutput(collection=self.collection) + + +def build_latents_output(latents_name: str, latents: torch.Tensor, seed: Optional[int] = None): + return LatentsOutput( + latents=LatentsField(latents_name=latents_name, seed=seed), + width=latents.size()[3] * 8, + height=latents.size()[2] * 8, + ) + + +# endregion + +# region Color + + +class ColorField(BaseModel): + """A color primitive field""" + + r: int = Field(ge=0, le=255, description="The red component") + g: int = Field(ge=0, le=255, description="The green component") + b: int = Field(ge=0, le=255, description="The blue component") + a: int = Field(ge=0, le=255, description="The alpha component") + + def tuple(self) -> Tuple[int, int, int, int]: + return (self.r, self.g, self.b, self.a) + + +class ColorOutput(BaseInvocationOutput): + """Base class for nodes that output a single color""" + + type: Literal["color_output"] = "color_output" + color: ColorField = OutputField(description="The output color") + + +class ColorCollectionOutput(BaseInvocationOutput): + """Base class for nodes that output a collection of colors""" + + type: Literal["color_collection_output"] = "color_collection_output" + + # Outputs + collection: list[ColorField] = OutputField( + default_factory=list, description="The output colors", ui_type=UIType.ColorCollection + ) + + +@title("Color Primitive") +@tags("primitives", "color") +class ColorInvocation(BaseInvocation): + """A color primitive value""" + + type: Literal["color"] = "color" + + # Inputs + color: ColorField = InputField(default=ColorField(r=0, g=0, b=0, a=255), description="The color value") + + def invoke(self, context: InvocationContext) -> ColorOutput: + return ColorOutput(color=self.color) + + +# endregion + +# region Conditioning + + +class ConditioningField(BaseModel): + """A conditioning tensor primitive value""" + + conditioning_name: str = Field(description="The name of conditioning tensor") + + +class ConditioningOutput(BaseInvocationOutput): + """Base class for nodes that output a single conditioning tensor""" + + type: Literal["conditioning_output"] = "conditioning_output" + + conditioning: ConditioningField = OutputField(description=FieldDescriptions.cond) + + +class ConditioningCollectionOutput(BaseInvocationOutput): + """Base class for nodes that output a collection of conditioning tensors""" + + type: Literal["conditioning_collection_output"] = "conditioning_collection_output" + + # Outputs + collection: list[ConditioningField] = OutputField( + default_factory=list, + description="The output conditioning tensors", + ui_type=UIType.ConditioningCollection, + ) + + +@title("Conditioning Primitive") +@tags("primitives", "conditioning") +class ConditioningInvocation(BaseInvocation): + """A conditioning tensor primitive value""" + + type: Literal["conditioning"] = "conditioning" + + conditioning: ConditioningField = InputField(description=FieldDescriptions.cond, input=Input.Connection) + + def invoke(self, context: InvocationContext) -> ConditioningOutput: + return ConditioningOutput(conditioning=self.conditioning) + + +@title("Conditioning Primitive Collection") +@tags("primitives", "conditioning", "collection") +class ConditioningCollectionInvocation(BaseInvocation): + """A collection of conditioning tensor primitive values""" + + type: Literal["conditioning_collection"] = "conditioning_collection" + + # Inputs + collection: list[ConditioningField] = InputField( + default=0, description="The collection of conditioning tensors", ui_type=UIType.ConditioningCollection + ) + + def invoke(self, context: InvocationContext) -> ConditioningCollectionOutput: + return ConditioningCollectionOutput(collection=self.collection) + + +# endregion diff --git a/invokeai/app/invocations/prompt.py b/invokeai/app/invocations/prompt.py index 83a397ddcf..acdb821456 100644 --- a/invokeai/app/invocations/prompt.py +++ b/invokeai/app/invocations/prompt.py @@ -1,59 +1,28 @@ from os.path import exists -from typing import Literal, Optional +from typing import Literal, Optional, Union import numpy as np -from pydantic import Field, validator +from dynamicprompts.generators import CombinatorialPromptGenerator, RandomPromptGenerator +from pydantic import validator -from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext -from dynamicprompts.generators import RandomPromptGenerator, CombinatorialPromptGenerator - - -class PromptOutput(BaseInvocationOutput): - """Base class for invocations that output a prompt""" - - # fmt: off - type: Literal["prompt"] = "prompt" - - prompt: str = Field(default=None, description="The output prompt") - # fmt: on - - class Config: - schema_extra = { - "required": [ - "type", - "prompt", - ] - } - - -class PromptCollectionOutput(BaseInvocationOutput): - """Base class for invocations that output a collection of prompts""" - - # fmt: off - type: Literal["prompt_collection_output"] = "prompt_collection_output" - - prompt_collection: list[str] = Field(description="The output prompt collection") - count: int = Field(description="The size of the prompt collection") - # fmt: on - - class Config: - schema_extra = {"required": ["type", "prompt_collection", "count"]} +from invokeai.app.invocations.primitives import StringCollectionOutput + +from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIComponent, UIType, tags, title +@title("Dynamic Prompt") +@tags("prompt", "collection") class DynamicPromptInvocation(BaseInvocation): """Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator""" type: Literal["dynamic_prompt"] = "dynamic_prompt" - prompt: str = Field(description="The prompt to parse with dynamicprompts") - max_prompts: int = Field(default=1, description="The number of prompts to generate") - combinatorial: bool = Field(default=False, description="Whether to use the combinatorial generator") - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Dynamic Prompt", "tags": ["prompt", "dynamic"]}, - } + # Inputs + prompt: str = InputField(description="The prompt to parse with dynamicprompts", ui_component=UIComponent.Textarea) + max_prompts: int = InputField(default=1, description="The number of prompts to generate") + combinatorial: bool = InputField(default=False, description="Whether to use the combinatorial generator") - def invoke(self, context: InvocationContext) -> PromptCollectionOutput: + def invoke(self, context: InvocationContext) -> StringCollectionOutput: if self.combinatorial: generator = CombinatorialPromptGenerator() prompts = generator.generate(self.prompt, max_prompts=self.max_prompts) @@ -61,27 +30,26 @@ class DynamicPromptInvocation(BaseInvocation): generator = RandomPromptGenerator() prompts = generator.generate(self.prompt, num_images=self.max_prompts) - return PromptCollectionOutput(prompt_collection=prompts, count=len(prompts)) + return StringCollectionOutput(collection=prompts) +@title("Prompts from File") +@tags("prompt", "file") class PromptsFromFileInvocation(BaseInvocation): """Loads prompts from a text file""" - # fmt: off - type: Literal['prompt_from_file'] = 'prompt_from_file' + type: Literal["prompt_from_file"] = "prompt_from_file" # Inputs - file_path: str = Field(description="Path to prompt text file") - pre_prompt: Optional[str] = Field(description="String to prepend to each prompt") - post_prompt: Optional[str] = Field(description="String to append to each prompt") - start_line: int = Field(default=1, ge=1, description="Line in the file to start start from") - max_prompts: int = Field(default=1, ge=0, description="Max lines to read from file (0=all)") - # fmt: on - - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Prompts From File", "tags": ["prompt", "file"]}, - } + file_path: str = InputField(description="Path to prompt text file", ui_type=UIType.FilePath) + pre_prompt: Optional[str] = InputField( + default=None, description="String to prepend to each prompt", ui_component=UIComponent.Textarea + ) + post_prompt: Optional[str] = InputField( + default=None, description="String to append to each prompt", ui_component=UIComponent.Textarea + ) + start_line: int = InputField(default=1, ge=1, description="Line in the file to start start from") + max_prompts: int = InputField(default=1, ge=0, description="Max lines to read from file (0=all)") @validator("file_path") def file_path_exists(cls, v): @@ -89,7 +57,14 @@ class PromptsFromFileInvocation(BaseInvocation): raise ValueError(FileNotFoundError) return v - def promptsFromFile(self, file_path: str, pre_prompt: str, post_prompt: str, start_line: int, max_prompts: int): + def promptsFromFile( + self, + file_path: str, + pre_prompt: Union[str, None], + post_prompt: Union[str, None], + start_line: int, + max_prompts: int, + ): prompts = [] start_line -= 1 end_line = start_line + max_prompts @@ -103,8 +78,8 @@ class PromptsFromFileInvocation(BaseInvocation): break return prompts - def invoke(self, context: InvocationContext) -> PromptCollectionOutput: + def invoke(self, context: InvocationContext) -> StringCollectionOutput: prompts = self.promptsFromFile( self.file_path, self.pre_prompt, self.post_prompt, self.start_line, self.max_prompts ) - return PromptCollectionOutput(prompt_collection=prompts, count=len(prompts)) + return StringCollectionOutput(collection=prompts) diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py index a5a1c2c641..4efe30a3d9 100644 --- a/invokeai/app/invocations/sdxl.py +++ b/invokeai/app/invocations/sdxl.py @@ -1,55 +1,55 @@ -import torch from typing import Literal -from pydantic import Field from ...backend.model_management import ModelType, SubModelType -from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext -from .model import UNetField, ClipField, VaeField, MainModelField, ModelInfo +from .baseinvocation import ( + BaseInvocation, + BaseInvocationOutput, + FieldDescriptions, + Input, + InputField, + InvocationContext, + OutputField, + UIType, + tags, + title, +) +from .model import ClipField, MainModelField, ModelInfo, UNetField, VaeField class SDXLModelLoaderOutput(BaseInvocationOutput): """SDXL base model loader output""" - # fmt: off type: Literal["sdxl_model_loader_output"] = "sdxl_model_loader_output" - unet: UNetField = Field(default=None, description="UNet submodel") - clip: ClipField = Field(default=None, description="Tokenizer and text_encoder submodels") - clip2: ClipField = Field(default=None, description="Tokenizer and text_encoder submodels") - vae: VaeField = Field(default=None, description="Vae submodel") - # fmt: on + unet: UNetField = OutputField(description=FieldDescriptions.unet, title="UNet") + clip: ClipField = OutputField(description=FieldDescriptions.clip, title="CLIP 1") + clip2: ClipField = OutputField(description=FieldDescriptions.clip, title="CLIP 2") + vae: VaeField = OutputField(description=FieldDescriptions.vae, title="VAE") class SDXLRefinerModelLoaderOutput(BaseInvocationOutput): """SDXL refiner model loader output""" - # fmt: off type: Literal["sdxl_refiner_model_loader_output"] = "sdxl_refiner_model_loader_output" - unet: UNetField = Field(default=None, description="UNet submodel") - clip2: ClipField = Field(default=None, description="Tokenizer and text_encoder submodels") - vae: VaeField = Field(default=None, description="Vae submodel") - # fmt: on - # fmt: on + + unet: UNetField = OutputField(description=FieldDescriptions.unet, title="UNet") + clip2: ClipField = OutputField(description=FieldDescriptions.clip, title="CLIP 2") + vae: VaeField = OutputField(description=FieldDescriptions.vae, title="VAE") +@title("SDXL Main Model Loader") +@tags("model", "sdxl") class SDXLModelLoaderInvocation(BaseInvocation): """Loads an sdxl base model, outputting its submodels.""" type: Literal["sdxl_model_loader"] = "sdxl_model_loader" - model: MainModelField = Field(description="The model to load") + # Inputs + model: MainModelField = InputField( + description=FieldDescriptions.sdxl_main_model, input=Input.Direct, ui_type=UIType.SDXLMainModel + ) # TODO: precision? - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "SDXL Model Loader", - "tags": ["model", "loader", "sdxl"], - "type_hints": {"model": "model"}, - }, - } - def invoke(self, context: InvocationContext) -> SDXLModelLoaderOutput: base_model = self.model.base_model model_name = self.model.model_name @@ -122,24 +122,21 @@ class SDXLModelLoaderInvocation(BaseInvocation): ) +@title("SDXL Refiner Model Loader") +@tags("model", "sdxl", "refiner") class SDXLRefinerModelLoaderInvocation(BaseInvocation): """Loads an sdxl refiner model, outputting its submodels.""" type: Literal["sdxl_refiner_model_loader"] = "sdxl_refiner_model_loader" - model: MainModelField = Field(description="The model to load") + # Inputs + model: MainModelField = InputField( + description=FieldDescriptions.sdxl_refiner_model, + input=Input.Direct, + ui_type=UIType.SDXLRefinerModel, + ) # TODO: precision? - # Schema customisation - class Config(InvocationConfig): - schema_extra = { - "ui": { - "title": "SDXL Refiner Model Loader", - "tags": ["model", "loader", "sdxl_refiner"], - "type_hints": {"model": "refiner_model"}, - }, - } - def invoke(self, context: InvocationContext) -> SDXLRefinerModelLoaderOutput: base_model = self.model.base_model model_name = self.model.model_name diff --git a/invokeai/app/invocations/upscale.py b/invokeai/app/invocations/upscale.py index fd220223db..cd4463e174 100644 --- a/invokeai/app/invocations/upscale.py +++ b/invokeai/app/invocations/upscale.py @@ -6,13 +6,12 @@ import cv2 as cv import numpy as np from basicsr.archs.rrdbnet_arch import RRDBNet from PIL import Image -from pydantic import Field from realesrgan import RealESRGANer +from invokeai.app.invocations.primitives import ImageField, ImageOutput -from invokeai.app.models.image import ImageCategory, ImageField, ResourceOrigin +from invokeai.app.models.image import ImageCategory, ResourceOrigin -from .baseinvocation import BaseInvocation, InvocationConfig, InvocationContext -from .image import ImageOutput +from .baseinvocation import BaseInvocation, InputField, InvocationContext, title, tags # TODO: Populate this from disk? # TODO: Use model manager to load? @@ -24,17 +23,16 @@ ESRGAN_MODELS = Literal[ ] +@title("Upscale (RealESRGAN)") +@tags("esrgan", "upscale") class ESRGANInvocation(BaseInvocation): """Upscales an image using RealESRGAN.""" type: Literal["esrgan"] = "esrgan" - image: Union[ImageField, None] = Field(default=None, description="The input image") - model_name: ESRGAN_MODELS = Field(default="RealESRGAN_x4plus.pth", description="The Real-ESRGAN model to use") - class Config(InvocationConfig): - schema_extra = { - "ui": {"title": "Upscale (RealESRGAN)", "tags": ["image", "upscale", "realesrgan"]}, - } + # Inputs + image: ImageField = InputField(description="The input image") + model_name: ESRGAN_MODELS = InputField(default="RealESRGAN_x4plus.pth", description="The Real-ESRGAN model to use") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) diff --git a/invokeai/app/models/image.py b/invokeai/app/models/image.py index 2a5a0f9d3b..88cf8af5f9 100644 --- a/invokeai/app/models/image.py +++ b/invokeai/app/models/image.py @@ -1,31 +1,8 @@ from enum import Enum -from typing import Optional, Tuple, Literal + from pydantic import BaseModel, Field from invokeai.app.util.metaenum import MetaEnum -from ..invocations.baseinvocation import ( - BaseInvocationOutput, - InvocationConfig, -) - - -class ImageField(BaseModel): - """An image field used for passing image objects between invocations""" - - image_name: Optional[str] = Field(default=None, description="The name of the image") - - class Config: - schema_extra = {"required": ["image_name"]} - - -class ColorField(BaseModel): - r: int = Field(ge=0, le=255, description="The red component") - g: int = Field(ge=0, le=255, description="The green component") - b: int = Field(ge=0, le=255, description="The blue component") - a: int = Field(ge=0, le=255, description="The alpha component") - - def tuple(self) -> Tuple[int, int, int, int]: - return (self.r, self.g, self.b, self.a) class ProgressImage(BaseModel): @@ -36,50 +13,6 @@ class ProgressImage(BaseModel): dataURL: str = Field(description="The image data as a b64 data URL") -class PILInvocationConfig(BaseModel): - """Helper class to provide all PIL invocations with additional config""" - - class Config(InvocationConfig): - schema_extra = { - "ui": { - "tags": ["PIL", "image"], - }, - } - - -class ImageOutput(BaseInvocationOutput): - """Base class for invocations that output an image""" - - # fmt: off - type: Literal["image_output"] = "image_output" - image: ImageField = Field(default=None, description="The output image") - width: int = Field(description="The width of the image in pixels") - height: int = Field(description="The height of the image in pixels") - # fmt: on - - class Config: - schema_extra = {"required": ["type", "image", "width", "height"]} - - -class MaskOutput(BaseInvocationOutput): - """Base class for invocations that output a mask""" - - # fmt: off - type: Literal["mask"] = "mask" - mask: ImageField = Field(default=None, description="The output mask") - width: int = Field(description="The width of the mask in pixels") - height: int = Field(description="The height of the mask in pixels") - # fmt: on - - class Config: - schema_extra = { - "required": [ - "type", - "mask", - ] - } - - class ResourceOrigin(str, Enum, metaclass=MetaEnum): """The origin of a resource (eg image). diff --git a/invokeai/app/services/default_graphs.py b/invokeai/app/services/default_graphs.py index caee5b631e..7135e031b0 100644 --- a/invokeai/app/services/default_graphs.py +++ b/invokeai/app/services/default_graphs.py @@ -2,7 +2,7 @@ from ..invocations.latent import LatentsToImageInvocation, DenoiseLatentsInvocat from ..invocations.image import ImageNSFWBlurInvocation from ..invocations.noise import NoiseInvocation from ..invocations.compel import CompelInvocation -from ..invocations.params import ParamIntInvocation +from ..invocations.primitives import IntegerInvocation from .graph import Edge, EdgeConnection, ExposedNodeInput, ExposedNodeOutput, Graph, LibraryGraph from .item_storage import ItemStorageABC @@ -17,9 +17,9 @@ def create_text_to_image() -> LibraryGraph: description="Converts text to an image", graph=Graph( nodes={ - "width": ParamIntInvocation(id="width", a=512), - "height": ParamIntInvocation(id="height", a=512), - "seed": ParamIntInvocation(id="seed", a=-1), + "width": IntegerInvocation(id="width", a=512), + "height": IntegerInvocation(id="height", a=512), + "seed": IntegerInvocation(id="seed", a=-1), "3": NoiseInvocation(id="3"), "4": CompelInvocation(id="4"), "5": CompelInvocation(id="5"), diff --git a/invokeai/app/services/graph.py b/invokeai/app/services/graph.py index d7f021df14..c412431b43 100644 --- a/invokeai/app/services/graph.py +++ b/invokeai/app/services/graph.py @@ -3,16 +3,7 @@ import copy import itertools import uuid -from typing import ( - Annotated, - Any, - Literal, - Optional, - Union, - get_args, - get_origin, - get_type_hints, -) +from typing import Annotated, Any, Literal, Optional, Union, get_args, get_origin, get_type_hints import networkx as nx from pydantic import BaseModel, root_validator, validator @@ -22,7 +13,11 @@ from ..invocations import * from ..invocations.baseinvocation import ( BaseInvocation, BaseInvocationOutput, + Input, + InputField, InvocationContext, + OutputField, + UIType, ) # in 3.10 this would be "from types import NoneType" @@ -183,15 +178,9 @@ class IterateInvocationOutput(BaseInvocationOutput): type: Literal["iterate_output"] = "iterate_output" - item: Any = Field(description="The item being iterated over") - - class Config: - schema_extra = { - "required": [ - "type", - "item", - ] - } + item: Any = OutputField( + description="The item being iterated over", title="Collection Item", ui_type=UIType.CollectionItem + ) # TODO: Fill this out and move to invocations @@ -200,8 +189,10 @@ class IterateInvocation(BaseInvocation): type: Literal["iterate"] = "iterate" - collection: list[Any] = Field(description="The list of items to iterate over", default_factory=list) - index: int = Field(description="The index, will be provided on executed iterators", default=0) + collection: list[Any] = InputField( + description="The list of items to iterate over", default_factory=list, ui_type=UIType.Collection + ) + index: int = InputField(description="The index, will be provided on executed iterators", default=0, ui_hidden=True) def invoke(self, context: InvocationContext) -> IterateInvocationOutput: """Produces the outputs as values""" @@ -211,15 +202,9 @@ class IterateInvocation(BaseInvocation): class CollectInvocationOutput(BaseInvocationOutput): type: Literal["collect_output"] = "collect_output" - collection: list[Any] = Field(description="The collection of input items") - - class Config: - schema_extra = { - "required": [ - "type", - "collection", - ] - } + collection: list[Any] = OutputField( + description="The collection of input items", title="Collection", ui_type=UIType.Collection + ) class CollectInvocation(BaseInvocation): @@ -227,13 +212,14 @@ class CollectInvocation(BaseInvocation): type: Literal["collect"] = "collect" - item: Any = Field( + item: Any = InputField( description="The item to collect (all inputs must be of the same type)", - default=None, + ui_type=UIType.CollectionItem, + title="Collection Item", + input=Input.Connection, ) - collection: list[Any] = Field( - description="The collection, will be provided on execution", - default_factory=list, + collection: list[Any] = InputField( + description="The collection, will be provided on execution", default_factory=list, ui_hidden=True ) def invoke(self, context: InvocationContext) -> CollectInvocationOutput: diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_record_storage.py index 8c274ab8f9..aa71431b7f 100644 --- a/invokeai/app/services/image_record_storage.py +++ b/invokeai/app/services/image_record_storage.py @@ -67,6 +67,7 @@ IMAGE_DTO_COLS = ", ".join( "created_at", "updated_at", "deleted_at", + "starred", ], ) ) @@ -139,6 +140,7 @@ class ImageRecordStorageBase(ABC): node_id: Optional[str], metadata: Optional[dict], is_intermediate: bool = False, + starred: bool = False, ) -> datetime: """Saves an image record.""" pass @@ -200,6 +202,16 @@ class SqliteImageRecordStorage(ImageRecordStorageBase): """ ) + self._cursor.execute("PRAGMA table_info(images)") + columns = [column[1] for column in self._cursor.fetchall()] + + if "starred" not in columns: + self._cursor.execute( + """--sql + ALTER TABLE images ADD COLUMN starred BOOLEAN DEFAULT FALSE; + """ + ) + # Create the `images` table indices. self._cursor.execute( """--sql @@ -222,6 +234,12 @@ class SqliteImageRecordStorage(ImageRecordStorageBase): """ ) + self._cursor.execute( + """--sql + CREATE INDEX IF NOT EXISTS idx_images_starred ON images(starred); + """ + ) + # Add trigger for `updated_at`. self._cursor.execute( """--sql @@ -321,6 +339,17 @@ class SqliteImageRecordStorage(ImageRecordStorageBase): (changes.is_intermediate, image_name), ) + # Change the image's `starred`` state + if changes.starred is not None: + self._cursor.execute( + f"""--sql + UPDATE images + SET starred = ? + WHERE image_name = ?; + """, + (changes.starred, image_name), + ) + self._conn.commit() except sqlite3.Error as e: self._conn.rollback() @@ -397,7 +426,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase): query_params.append(board_id) query_pagination = """--sql - ORDER BY images.created_at DESC LIMIT ? OFFSET ? + ORDER BY images.starred DESC, images.created_at DESC LIMIT ? OFFSET ? """ # Final images query with pagination @@ -500,6 +529,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase): node_id: Optional[str], metadata: Optional[dict], is_intermediate: bool = False, + starred: bool = False, ) -> datetime: try: metadata_json = None if metadata is None else json.dumps(metadata) @@ -515,9 +545,10 @@ class SqliteImageRecordStorage(ImageRecordStorageBase): node_id, session_id, metadata, - is_intermediate + is_intermediate, + starred ) - VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?); + VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?); """, ( image_name, @@ -529,6 +560,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase): session_id, metadata_json, is_intermediate, + starred, ), ) self._conn.commit() diff --git a/invokeai/app/services/models/image_record.py b/invokeai/app/services/models/image_record.py index 294b760630..a480fd0efd 100644 --- a/invokeai/app/services/models/image_record.py +++ b/invokeai/app/services/models/image_record.py @@ -39,6 +39,8 @@ class ImageRecord(BaseModelExcludeNull): description="The node ID that generated this image, if it is a generated image.", ) """The node ID that generated this image, if it is a generated image.""" + starred: bool = Field(description="Whether this image is starred.") + """Whether this image is starred.""" class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid): @@ -48,6 +50,7 @@ class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid): - `image_category`: change the category of an image - `session_id`: change the session associated with an image - `is_intermediate`: change the image's `is_intermediate` flag + - `starred`: change whether the image is starred """ image_category: Optional[ImageCategory] = Field(description="The image's new category.") @@ -59,6 +62,8 @@ class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid): """The image's new session ID.""" is_intermediate: Optional[StrictBool] = Field(default=None, description="The image's new `is_intermediate` flag.") """The image's new `is_intermediate` flag.""" + starred: Optional[StrictBool] = Field(default=None, description="The image's new `starred` state") + """The image's new `starred` state.""" class ImageUrlsDTO(BaseModelExcludeNull): @@ -113,6 +118,7 @@ def deserialize_image_record(image_dict: dict) -> ImageRecord: updated_at = image_dict.get("updated_at", get_iso_timestamp()) deleted_at = image_dict.get("deleted_at", get_iso_timestamp()) is_intermediate = image_dict.get("is_intermediate", False) + starred = image_dict.get("starred", False) return ImageRecord( image_name=image_name, @@ -126,4 +132,5 @@ def deserialize_image_record(image_dict: dict) -> ImageRecord: updated_at=updated_at, deleted_at=deleted_at, is_intermediate=is_intermediate, + starred=starred, ) diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py index 41170a304b..b8c2f93e93 100644 --- a/invokeai/app/services/processor.py +++ b/invokeai/app/services/processor.py @@ -87,7 +87,10 @@ class DefaultInvocationProcessor(InvocationProcessorABC): # Invoke try: with statistics.collect_stats(invocation, graph_execution_state.id): - outputs = invocation.invoke( + # 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 + outputs = invocation.invoke_internal( InvocationContext( services=self.__invoker.services, graph_execution_state_id=graph_execution_state.id, diff --git a/invokeai/app/services/sqlite.py b/invokeai/app/services/sqlite.py index 855f3f1939..3c46b1c2a0 100644 --- a/invokeai/app/services/sqlite.py +++ b/invokeai/app/services/sqlite.py @@ -49,7 +49,8 @@ class SqliteItemStorage(ItemStorageABC, Generic[T]): def _parse_item(self, item: str) -> T: item_type = get_args(self.__orig_class__)[0] - return parse_raw_as(item_type, item) + parsed = parse_raw_as(item_type, item) + return parsed def set(self, item: T): try: diff --git a/invokeai/backend/model_management/model_merge.py b/invokeai/backend/model_management/model_merge.py index 74419a4433..a34d9b0e3e 100644 --- a/invokeai/backend/model_management/model_merge.py +++ b/invokeai/backend/model_management/model_merge.py @@ -109,7 +109,7 @@ class ModelMerger(object): # pick up the first model's vae if mod == model_names[0]: vae = info.get("vae") - model_paths.extend([config.root_path / info["path"]]) + model_paths.extend([(config.root_path / info["path"]).as_posix()]) merge_method = None if interp == "weighted_sum" else MergeInterpolationMethod(interp) logger.debug(f"interp = {interp}, merge_method={merge_method}") @@ -120,11 +120,11 @@ class ModelMerger(object): else config.models_path / base_model.value / ModelType.Main.value ) dump_path.mkdir(parents=True, exist_ok=True) - dump_path = dump_path / merged_model_name + dump_path = (dump_path / merged_model_name).as_posix() merged_pipe.save_pretrained(dump_path, safe_serialization=True) attributes = dict( - path=str(dump_path), + path=dump_path, description=f"Merge of models {', '.join(model_names)}", model_format="diffusers", variant=ModelVariantType.Normal.value, diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py index 145c56c273..3045849065 100644 --- a/invokeai/backend/model_management/model_probe.py +++ b/invokeai/backend/model_management/model_probe.py @@ -481,9 +481,19 @@ class ControlNetFolderProbe(FolderProbeBase): with open(config_file, "r") as file: config = json.load(file) # no obvious way to distinguish between sd2-base and sd2-768 - return ( - BaseModelType.StableDiffusion1 if config["cross_attention_dim"] == 768 else BaseModelType.StableDiffusion2 + dimension = config["cross_attention_dim"] + base_model = ( + BaseModelType.StableDiffusion1 + if dimension == 768 + 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}") + return base_model class LoRAFolderProbe(FolderProbeBase): diff --git a/invokeai/backend/web/__init__.py b/invokeai/backend/web/__init__.py deleted file mode 100644 index c57600f72b..0000000000 --- a/invokeai/backend/web/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -""" -Initialization file for the web backend. -""" -from .invoke_ai_web_server import InvokeAIWebServer diff --git a/invokeai/backend/web/invoke_ai_web_server.py b/invokeai/backend/web/invoke_ai_web_server.py deleted file mode 100644 index 88eb77551f..0000000000 --- a/invokeai/backend/web/invoke_ai_web_server.py +++ /dev/null @@ -1,1654 +0,0 @@ -import base64 -import glob -import io -import json -import math -import mimetypes -import os -import shutil -import traceback -from pathlib import Path -from threading import Event -from uuid import uuid4 - -import eventlet -from compel.prompt_parser import Blend -from flask import Flask, make_response, redirect, request, send_from_directory -from flask_socketio import SocketIO -from PIL import Image -from PIL.Image import Image as ImageType -from werkzeug.utils import secure_filename - -import invokeai.backend.util.logging as logger -import invokeai.frontend.web.dist as frontend - -from .. import Generate -from ..args import APP_ID, APP_VERSION, Args, calculate_init_img_hash -from ..generator import infill_methods -from ..globals import Globals, global_converted_ckpts_dir, global_models_dir -from ..image_util import PngWriter, retrieve_metadata -from ...frontend.merge.merge_diffusers import merge_diffusion_models -from ..prompting import ( - get_prompt_structure, - get_tokens_for_prompt_object, -) -from ..stable_diffusion import PipelineIntermediateState -from .modules.get_canvas_generation_mode import get_canvas_generation_mode -from .modules.parameters import parameters_to_command - -# Loading Arguments -opt = Args() -args = opt.parse_args() - -# Set the root directory for static files and relative paths -args.root_dir = os.path.expanduser(args.root_dir or "..") -if not os.path.isabs(args.outdir): - args.outdir = os.path.join(args.root_dir, args.outdir) - -# normalize the config directory relative to root -if not os.path.isabs(opt.conf): - opt.conf = os.path.normpath(os.path.join(Globals.root, opt.conf)) - - -class InvokeAIWebServer: - def __init__(self, generate: Generate, gfpgan, codeformer, esrgan) -> None: - self.host = args.host - self.port = args.port - - self.generate = generate - self.gfpgan = gfpgan - self.codeformer = codeformer - self.esrgan = esrgan - - self.canceled = Event() - self.ALLOWED_EXTENSIONS = {"png", "jpg", "jpeg"} - - def allowed_file(self, filename: str) -> bool: - return "." in filename and filename.rsplit(".", 1)[1].lower() in self.ALLOWED_EXTENSIONS - - def run(self): - self.setup_app() - self.setup_flask() - - def setup_flask(self): - # Fix missing mimetypes on Windows - mimetypes.add_type("application/javascript", ".js") - mimetypes.add_type("text/css", ".css") - # Socket IO - engineio_logger = True if args.web_verbose else False - max_http_buffer_size = 10000000 - - socketio_args = { - "logger": logger, - "engineio_logger": engineio_logger, - "max_http_buffer_size": max_http_buffer_size, - "ping_interval": (50, 50), - "ping_timeout": 60, - } - - if opt.cors: - _cors = opt.cors - # convert list back into comma-separated string, - # be defensive here, not sure in what form this arrives - if isinstance(_cors, list): - _cors = ",".join(_cors) - if "," in _cors: - _cors = _cors.split(",") - socketio_args["cors_allowed_origins"] = _cors - - self.app = Flask(__name__, static_url_path="", static_folder=frontend.__path__[0]) - - self.socketio = SocketIO(self.app, **socketio_args) - - # Keep Server Alive Route - @self.app.route("/flaskwebgui-keep-server-alive") - def keep_alive(): - return {"message": "Server Running"} - - # Outputs Route - self.app.config["OUTPUTS_FOLDER"] = os.path.abspath(args.outdir) - - @self.app.route("/outputs/") - def outputs(file_path): - return send_from_directory(self.app.config["OUTPUTS_FOLDER"], file_path) - - # Base Route - @self.app.route("/") - def serve(): - if args.web_develop: - return redirect("http://127.0.0.1:5173") - else: - return send_from_directory(self.app.static_folder, "index.html") - - @self.app.route("/upload", methods=["POST"]) - def upload(): - try: - data = json.loads(request.form["data"]) - filename = "" - # check if the post request has the file part - if "file" in request.files: - file = request.files["file"] - # If the user does not select a file, the browser submits an - # empty file without a filename. - if file.filename == "": - return make_response("No file selected", 400) - filename = file.filename - elif "dataURL" in data: - file = dataURL_to_bytes(data["dataURL"]) - if "filename" not in data or data["filename"] == "": - return make_response("No filename provided", 400) - filename = data["filename"] - else: - return make_response("No file or dataURL", 400) - - kind = data["kind"] - - if kind == "init": - path = self.init_image_path - elif kind == "temp": - path = self.temp_image_path - elif kind == "result": - path = self.result_path - elif kind == "mask": - path = self.mask_image_path - else: - return make_response(f"Invalid upload kind: {kind}", 400) - - if not self.allowed_file(filename): - return make_response( - f'Invalid file type, must be one of: {", ".join(self.ALLOWED_EXTENSIONS)}', - 400, - ) - - secured_filename = secure_filename(filename) - - uuid = uuid4().hex - truncated_uuid = uuid[:8] - - split = os.path.splitext(secured_filename) - name = f"{split[0]}.{truncated_uuid}{split[1]}" - - file_path = os.path.join(path, name) - - if "dataURL" in data: - with open(file_path, "wb") as f: - f.write(file) - else: - file.save(file_path) - - mtime = os.path.getmtime(file_path) - - pil_image = Image.open(file_path) - - if "cropVisible" in data and data["cropVisible"] == True: - visible_image_bbox = pil_image.getbbox() - pil_image = pil_image.crop(visible_image_bbox) - pil_image.save(file_path) - - (width, height) = pil_image.size - - thumbnail_path = save_thumbnail(pil_image, os.path.basename(file_path), self.thumbnail_image_path) - - response = { - "url": self.get_url_from_image_path(file_path), - "thumbnail": self.get_url_from_image_path(thumbnail_path), - "mtime": mtime, - "width": width, - "height": height, - } - - return make_response(response, 200) - - except Exception as e: - self.handle_exceptions(e) - return make_response("Error uploading file", 500) - - self.load_socketio_listeners(self.socketio) - - if args.gui: - logger.info("Launching Invoke AI GUI") - try: - from flaskwebgui import FlaskUI - - FlaskUI( - app=self.app, - socketio=self.socketio, - server="flask_socketio", - width=1600, - height=1000, - port=self.port, - ).run() - except KeyboardInterrupt: - import sys - - sys.exit(0) - else: - useSSL = args.certfile or args.keyfile - logger.info("Started Invoke AI Web Server") - if self.host == "0.0.0.0": - logger.info( - f"Point your browser at http{'s' if useSSL else ''}://localhost:{self.port} or use the host's DNS name or IP address." - ) - else: - logger.info("Default host address now 127.0.0.1 (localhost). Use --host 0.0.0.0 to bind any address.") - logger.info(f"Point your browser at http{'s' if useSSL else ''}://{self.host}:{self.port}") - if not useSSL: - self.socketio.run(app=self.app, host=self.host, port=self.port) - else: - self.socketio.run( - app=self.app, - host=self.host, - port=self.port, - certfile=args.certfile, - keyfile=args.keyfile, - ) - - def setup_app(self): - self.result_url = "outputs/" - self.init_image_url = "outputs/init-images/" - self.mask_image_url = "outputs/mask-images/" - self.intermediate_url = "outputs/intermediates/" - self.temp_image_url = "outputs/temp-images/" - self.thumbnail_image_url = "outputs/thumbnails/" - # location for "finished" images - self.result_path = args.outdir - # temporary path for intermediates - self.intermediate_path = os.path.join(self.result_path, "intermediates/") - # path for user-uploaded init images and masks - self.init_image_path = os.path.join(self.result_path, "init-images/") - self.mask_image_path = os.path.join(self.result_path, "mask-images/") - # path for temp images e.g. gallery generations which are not committed - self.temp_image_path = os.path.join(self.result_path, "temp-images/") - # path for thumbnail images - self.thumbnail_image_path = os.path.join(self.result_path, "thumbnails/") - # txt log - self.log_path = os.path.join(self.result_path, "invoke_logger.txt") - # make all output paths - [ - os.makedirs(path, exist_ok=True) - for path in [ - self.result_path, - self.intermediate_path, - self.init_image_path, - self.mask_image_path, - self.temp_image_path, - self.thumbnail_image_path, - ] - ] - - def load_socketio_listeners(self, socketio): - @socketio.on("requestSystemConfig") - def handle_request_capabilities(): - logger.info("System config requested") - config = self.get_system_config() - config["model_list"] = self.generate.model_manager.list_models() - config["infill_methods"] = infill_methods() - socketio.emit("systemConfig", config) - - @socketio.on("searchForModels") - def handle_search_models(search_folder: str): - try: - if not search_folder: - socketio.emit( - "foundModels", - {"search_folder": None, "found_models": None}, - ) - else: - ( - search_folder, - found_models, - ) = self.generate.model_manager.search_models(search_folder) - socketio.emit( - "foundModels", - {"search_folder": search_folder, "found_models": found_models}, - ) - except Exception as e: - self.handle_exceptions(e) - print("\n") - - @socketio.on("addNewModel") - def handle_add_model(new_model_config: dict): - try: - model_name = new_model_config["name"] - del new_model_config["name"] - model_attributes = new_model_config - if len(model_attributes["vae"]) == 0: - del model_attributes["vae"] - update = False - current_model_list = self.generate.model_manager.list_models() - if model_name in current_model_list: - update = True - - logger.info(f"Adding New Model: {model_name}") - - self.generate.model_manager.add_model( - model_name=model_name, - model_attributes=model_attributes, - clobber=True, - ) - self.generate.model_manager.commit(opt.conf) - - new_model_list = self.generate.model_manager.list_models() - socketio.emit( - "newModelAdded", - { - "new_model_name": model_name, - "model_list": new_model_list, - "update": update, - }, - ) - logger.info(f"New Model Added: {model_name}") - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("deleteModel") - def handle_delete_model(model_name: str): - try: - logger.info(f"Deleting Model: {model_name}") - self.generate.model_manager.del_model(model_name) - self.generate.model_manager.commit(opt.conf) - updated_model_list = self.generate.model_manager.list_models() - socketio.emit( - "modelDeleted", - { - "deleted_model_name": model_name, - "model_list": updated_model_list, - }, - ) - logger.info(f"Model Deleted: {model_name}") - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("requestModelChange") - def handle_set_model(model_name: str): - try: - logger.info(f"Model change requested: {model_name}") - model = self.generate.set_model(model_name) - model_list = self.generate.model_manager.list_models() - if model is None: - socketio.emit( - "modelChangeFailed", - {"model_name": model_name, "model_list": model_list}, - ) - else: - socketio.emit( - "modelChanged", - {"model_name": model_name, "model_list": model_list}, - ) - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("convertToDiffusers") - def convert_to_diffusers(model_to_convert: dict): - try: - if model_info := self.generate.model_manager.model_info(model_name=model_to_convert["model_name"]): - if "weights" in model_info: - ckpt_path = Path(model_info["weights"]) - original_config_file = Path(model_info["config"]) - model_name = model_to_convert["model_name"] - model_description = model_info["description"] - else: - self.socketio.emit("error", {"message": "Model is not a valid checkpoint file"}) - else: - self.socketio.emit("error", {"message": "Could not retrieve model info."}) - - if not ckpt_path.is_absolute(): - ckpt_path = Path(Globals.root, ckpt_path) - - if original_config_file and not original_config_file.is_absolute(): - original_config_file = Path(Globals.root, original_config_file) - - diffusers_path = Path(ckpt_path.parent.absolute(), f"{model_name}_diffusers") - - if model_to_convert["save_location"] == "root": - diffusers_path = Path(global_converted_ckpts_dir(), f"{model_name}_diffusers") - - if model_to_convert["save_location"] == "custom" and model_to_convert["custom_location"] is not None: - diffusers_path = Path(model_to_convert["custom_location"], f"{model_name}_diffusers") - - if diffusers_path.exists(): - shutil.rmtree(diffusers_path) - - self.generate.model_manager.convert_and_import( - ckpt_path, - diffusers_path, - model_name=model_name, - model_description=model_description, - vae=None, - original_config_file=original_config_file, - commit_to_conf=opt.conf, - ) - - new_model_list = self.generate.model_manager.list_models() - socketio.emit( - "modelConverted", - { - "new_model_name": model_name, - "model_list": new_model_list, - "update": True, - }, - ) - logger.info(f"Model Converted: {model_name}") - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("mergeDiffusersModels") - def merge_diffusers_models(model_merge_info: dict): - try: - models_to_merge = model_merge_info["models_to_merge"] - model_ids_or_paths = [self.generate.model_manager.model_name_or_path(x) for x in models_to_merge] - merged_pipe = merge_diffusion_models( - model_ids_or_paths, - model_merge_info["alpha"], - model_merge_info["interp"], - model_merge_info["force"], - ) - - dump_path = global_models_dir() / "merged_models" - if model_merge_info["model_merge_save_path"] is not None: - dump_path = Path(model_merge_info["model_merge_save_path"]) - - os.makedirs(dump_path, exist_ok=True) - dump_path = dump_path / model_merge_info["merged_model_name"] - merged_pipe.save_pretrained(dump_path, safe_serialization=1) - - merged_model_config = dict( - model_name=model_merge_info["merged_model_name"], - description=f'Merge of models {", ".join(models_to_merge)}', - commit_to_conf=opt.conf, - ) - - if vae := self.generate.model_manager.config[models_to_merge[0]].get("vae", None): - logger.info(f"Using configured VAE assigned to {models_to_merge[0]}") - merged_model_config.update(vae=vae) - - self.generate.model_manager.import_diffuser_model(dump_path, **merged_model_config) - new_model_list = self.generate.model_manager.list_models() - - socketio.emit( - "modelsMerged", - { - "merged_models": models_to_merge, - "merged_model_name": model_merge_info["merged_model_name"], - "model_list": new_model_list, - "update": True, - }, - ) - logger.info(f"Models Merged: {models_to_merge}") - logger.info(f"New Model Added: {model_merge_info['merged_model_name']}") - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("requestEmptyTempFolder") - def empty_temp_folder(): - try: - temp_files = glob.glob(os.path.join(self.temp_image_path, "*")) - for f in temp_files: - try: - os.remove(f) - thumbnail_path = os.path.join( - self.thumbnail_image_path, - os.path.splitext(os.path.basename(f))[0] + ".webp", - ) - os.remove(thumbnail_path) - except Exception as e: - socketio.emit("error", {"message": f"Unable to delete {f}: {str(e)}"}) - pass - - socketio.emit("tempFolderEmptied") - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("requestSaveStagingAreaImageToGallery") - def save_temp_image_to_gallery(url): - try: - image_path = self.get_image_path_from_url(url) - new_path = os.path.join(self.result_path, os.path.basename(image_path)) - shutil.copy2(image_path, new_path) - - if os.path.splitext(new_path)[1] == ".png": - metadata = retrieve_metadata(new_path) - else: - metadata = {} - - pil_image = Image.open(new_path) - - (width, height) = pil_image.size - - thumbnail_path = save_thumbnail(pil_image, os.path.basename(new_path), self.thumbnail_image_path) - - image_array = [ - { - "url": self.get_url_from_image_path(new_path), - "thumbnail": self.get_url_from_image_path(thumbnail_path), - "mtime": os.path.getmtime(new_path), - "metadata": metadata, - "width": width, - "height": height, - "category": "result", - } - ] - - socketio.emit( - "galleryImages", - {"images": image_array, "category": "result"}, - ) - - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("requestLatestImages") - def handle_request_latest_images(category, latest_mtime): - try: - base_path = self.result_path if category == "result" else self.init_image_path - - paths = [] - - for ext in ("*.png", "*.jpg", "*.jpeg"): - paths.extend(glob.glob(os.path.join(base_path, ext))) - - image_paths = sorted(paths, key=lambda x: os.path.getmtime(x), reverse=True) - - image_paths = list( - filter( - lambda x: os.path.getmtime(x) > latest_mtime, - image_paths, - ) - ) - - image_array = [] - - for path in image_paths: - try: - if os.path.splitext(path)[1] == ".png": - metadata = retrieve_metadata(path) - else: - metadata = {} - - pil_image = Image.open(path) - (width, height) = pil_image.size - - thumbnail_path = save_thumbnail(pil_image, os.path.basename(path), self.thumbnail_image_path) - - image_array.append( - { - "url": self.get_url_from_image_path(path), - "thumbnail": self.get_url_from_image_path(thumbnail_path), - "mtime": os.path.getmtime(path), - "metadata": metadata.get("sd-metadata"), - "dreamPrompt": metadata.get("Dream"), - "width": width, - "height": height, - "category": category, - } - ) - except Exception as e: - socketio.emit("error", {"message": f"Unable to load {path}: {str(e)}"}) - pass - - socketio.emit( - "galleryImages", - {"images": image_array, "category": category}, - ) - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("requestImages") - def handle_request_images(category, earliest_mtime=None): - try: - page_size = 50 - - base_path = self.result_path if category == "result" else self.init_image_path - - paths = [] - for ext in ("*.png", "*.jpg", "*.jpeg"): - paths.extend(glob.glob(os.path.join(base_path, ext))) - - image_paths = sorted(paths, key=lambda x: os.path.getmtime(x), reverse=True) - - if earliest_mtime: - image_paths = list( - filter( - lambda x: os.path.getmtime(x) < earliest_mtime, - image_paths, - ) - ) - - areMoreImagesAvailable = len(image_paths) >= page_size - image_paths = image_paths[slice(0, page_size)] - - image_array = [] - for path in image_paths: - try: - if os.path.splitext(path)[1] == ".png": - metadata = retrieve_metadata(path) - else: - metadata = {} - - pil_image = Image.open(path) - (width, height) = pil_image.size - - thumbnail_path = save_thumbnail(pil_image, os.path.basename(path), self.thumbnail_image_path) - - image_array.append( - { - "url": self.get_url_from_image_path(path), - "thumbnail": self.get_url_from_image_path(thumbnail_path), - "mtime": os.path.getmtime(path), - "metadata": metadata.get("sd-metadata"), - "dreamPrompt": metadata.get("Dream"), - "width": width, - "height": height, - "category": category, - } - ) - except Exception as e: - logger.info(f"Unable to load {path}") - socketio.emit("error", {"message": f"Unable to load {path}: {str(e)}"}) - pass - - socketio.emit( - "galleryImages", - { - "images": image_array, - "areMoreImagesAvailable": areMoreImagesAvailable, - "category": category, - }, - ) - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("generateImage") - def handle_generate_image_event(generation_parameters, esrgan_parameters, facetool_parameters): - try: - # truncate long init_mask/init_img base64 if needed - printable_parameters = { - **generation_parameters, - } - - if "init_img" in generation_parameters: - printable_parameters["init_img"] = printable_parameters["init_img"][:64] + "..." - - if "init_mask" in generation_parameters: - printable_parameters["init_mask"] = printable_parameters["init_mask"][:64] + "..." - - logger.info(f"Image Generation Parameters:\n\n{printable_parameters}\n") - logger.info(f"ESRGAN Parameters: {esrgan_parameters}") - logger.info(f"Facetool Parameters: {facetool_parameters}") - - self.generate_images( - generation_parameters, - esrgan_parameters, - facetool_parameters, - ) - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("runPostprocessing") - def handle_run_postprocessing(original_image, postprocessing_parameters): - try: - logger.info(f'Postprocessing requested for "{original_image["url"]}": {postprocessing_parameters}') - - progress = Progress() - - socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - original_image_path = self.get_image_path_from_url(original_image["url"]) - - image = Image.open(original_image_path) - - try: - seed = original_image["metadata"]["image"]["seed"] - except KeyError: - seed = "unknown_seed" - pass - - if postprocessing_parameters["type"] == "esrgan": - progress.set_current_status("common.statusUpscalingESRGAN") - elif postprocessing_parameters["type"] == "gfpgan": - progress.set_current_status("common.statusRestoringFacesGFPGAN") - elif postprocessing_parameters["type"] == "codeformer": - progress.set_current_status("common.statusRestoringFacesCodeFormer") - - socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - if postprocessing_parameters["type"] == "esrgan": - image = self.esrgan.process( - image=image, - upsampler_scale=postprocessing_parameters["upscale"][0], - denoise_str=postprocessing_parameters["upscale"][1], - strength=postprocessing_parameters["upscale"][2], - seed=seed, - ) - elif postprocessing_parameters["type"] == "gfpgan": - image = self.gfpgan.process( - image=image, - strength=postprocessing_parameters["facetool_strength"], - seed=seed, - ) - elif postprocessing_parameters["type"] == "codeformer": - image = self.codeformer.process( - image=image, - strength=postprocessing_parameters["facetool_strength"], - fidelity=postprocessing_parameters["codeformer_fidelity"], - seed=seed, - device="cpu" if str(self.generate.device) == "mps" else self.generate.device, - ) - else: - raise TypeError(f'{postprocessing_parameters["type"]} is not a valid postprocessing type') - - progress.set_current_status("common.statusSavingImage") - socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - postprocessing_parameters["seed"] = seed - metadata = self.parameters_to_post_processed_image_metadata( - parameters=postprocessing_parameters, - original_image_path=original_image_path, - ) - - command = parameters_to_command(postprocessing_parameters) - - (width, height) = image.size - - path = self.save_result_image( - image, - command, - metadata, - self.result_path, - postprocessing=postprocessing_parameters["type"], - ) - - thumbnail_path = save_thumbnail(image, os.path.basename(path), self.thumbnail_image_path) - - self.write_log_message( - f'[Postprocessed] "{original_image_path}" > "{path}": {postprocessing_parameters}' - ) - - progress.mark_complete() - socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - socketio.emit( - "postprocessingResult", - { - "url": self.get_url_from_image_path(path), - "thumbnail": self.get_url_from_image_path(thumbnail_path), - "mtime": os.path.getmtime(path), - "metadata": metadata, - "dreamPrompt": command, - "width": width, - "height": height, - }, - ) - except Exception as e: - self.handle_exceptions(e) - - @socketio.on("cancel") - def handle_cancel(): - logger.info("Cancel processing requested") - self.canceled.set() - - # TODO: I think this needs a safety mechanism. - @socketio.on("deleteImage") - def handle_delete_image(url, thumbnail, uuid, category): - try: - logger.info(f'Delete requested "{url}"') - from send2trash import send2trash - - path = self.get_image_path_from_url(url) - thumbnail_path = self.get_image_path_from_url(thumbnail) - - send2trash(path) - send2trash(thumbnail_path) - - socketio.emit( - "imageDeleted", - {"url": url, "uuid": uuid, "category": category}, - ) - except Exception as e: - self.handle_exceptions(e) - - # App Functions - def get_system_config(self): - model_list: dict = self.generate.model_manager.list_models() - active_model_name = None - - for model_name, model_dict in model_list.items(): - if model_dict["status"] == "active": - active_model_name = model_name - - return { - "model": "stable diffusion", - "model_weights": active_model_name, - "model_hash": self.generate.model_hash, - "app_id": APP_ID, - "app_version": APP_VERSION, - } - - def generate_images(self, generation_parameters, esrgan_parameters, facetool_parameters): - try: - self.canceled.clear() - - step_index = 1 - prior_variations = ( - generation_parameters["with_variations"] if "with_variations" in generation_parameters else [] - ) - - actual_generation_mode = generation_parameters["generation_mode"] - original_bounding_box = None - - progress = Progress(generation_parameters=generation_parameters) - - self.socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - """ - TODO: - If a result image is used as an init image, and then deleted, we will want to be - able to use it as an init image in the future. Need to handle this case. - """ - - """ - Prepare for generation based on generation_mode - """ - if generation_parameters["generation_mode"] == "unifiedCanvas": - """ - generation_parameters["init_img"] is a base64 image - generation_parameters["init_mask"] is a base64 image - - So we need to convert each into a PIL Image. - """ - - init_img_url = generation_parameters["init_img"] - - original_bounding_box = generation_parameters["bounding_box"].copy() - - initial_image = dataURL_to_image(generation_parameters["init_img"]).convert("RGBA") - - """ - The outpaint image and mask are pre-cropped by the UI, so the bounding box we pass - to the generator should be: - { - "x": 0, - "y": 0, - "width": original_bounding_box["width"], - "height": original_bounding_box["height"] - } - """ - - generation_parameters["bounding_box"]["x"] = 0 - generation_parameters["bounding_box"]["y"] = 0 - - # Convert mask dataURL to an image and convert to greyscale - mask_image = dataURL_to_image(generation_parameters["init_mask"]).convert("L") - - actual_generation_mode = get_canvas_generation_mode(initial_image, mask_image) - - """ - Apply the mask to the init image, creating a "mask" image with - transparency where inpainting should occur. This is the kind of - mask that prompt2image() needs. - """ - alpha_mask = initial_image.copy() - alpha_mask.putalpha(mask_image) - - generation_parameters["init_img"] = initial_image - generation_parameters["init_mask"] = alpha_mask - - # Remove the unneeded parameters for whichever mode we are doing - if actual_generation_mode == "inpainting": - generation_parameters.pop("seam_size", None) - generation_parameters.pop("seam_blur", None) - generation_parameters.pop("seam_strength", None) - generation_parameters.pop("seam_steps", None) - generation_parameters.pop("tile_size", None) - generation_parameters.pop("force_outpaint", None) - elif actual_generation_mode == "img2img": - generation_parameters["height"] = original_bounding_box["height"] - generation_parameters["width"] = original_bounding_box["width"] - generation_parameters.pop("init_mask", None) - generation_parameters.pop("seam_size", None) - generation_parameters.pop("seam_blur", None) - generation_parameters.pop("seam_strength", None) - generation_parameters.pop("seam_steps", None) - generation_parameters.pop("tile_size", None) - generation_parameters.pop("force_outpaint", None) - generation_parameters.pop("infill_method", None) - elif actual_generation_mode == "txt2img": - generation_parameters["height"] = original_bounding_box["height"] - generation_parameters["width"] = original_bounding_box["width"] - generation_parameters.pop("strength", None) - generation_parameters.pop("fit", None) - generation_parameters.pop("init_img", None) - generation_parameters.pop("init_mask", None) - generation_parameters.pop("seam_size", None) - generation_parameters.pop("seam_blur", None) - generation_parameters.pop("seam_strength", None) - generation_parameters.pop("seam_steps", None) - generation_parameters.pop("tile_size", None) - generation_parameters.pop("force_outpaint", None) - generation_parameters.pop("infill_method", None) - - elif generation_parameters["generation_mode"] == "img2img": - init_img_url = generation_parameters["init_img"] - init_img_path = self.get_image_path_from_url(init_img_url) - generation_parameters["init_img"] = Image.open(init_img_path).convert("RGB") - - def image_progress(intermediate_state: PipelineIntermediateState): - if self.canceled.is_set(): - raise CanceledException - - nonlocal step_index - nonlocal generation_parameters - nonlocal progress - - step = intermediate_state.step - if intermediate_state.predicted_original is not None: - # Some schedulers report not only the noisy latents at the current timestep, - # but also their estimate so far of what the de-noised latents will be. - sample = intermediate_state.predicted_original - else: - sample = intermediate_state.latents - - generation_messages = { - "txt2img": "common.statusGeneratingTextToImage", - "img2img": "common.statusGeneratingImageToImage", - "inpainting": "common.statusGeneratingInpainting", - "outpainting": "common.statusGeneratingOutpainting", - } - - progress.set_current_step(step + 1) - progress.set_current_status(f"{generation_messages[actual_generation_mode]}") - progress.set_current_status_has_steps(True) - - if ( - generation_parameters["progress_images"] - and step % generation_parameters["save_intermediates"] == 0 - and step < generation_parameters["steps"] - 1 - ): - image = self.generate.sample_to_image(sample) - metadata = self.parameters_to_generated_image_metadata(generation_parameters) - command = parameters_to_command(generation_parameters) - - (width, height) = image.size - - path = self.save_result_image( - image, - command, - metadata, - self.intermediate_path, - step_index=step_index, - postprocessing=False, - ) - - step_index += 1 - self.socketio.emit( - "intermediateResult", - { - "url": self.get_url_from_image_path(path), - "mtime": os.path.getmtime(path), - "metadata": metadata, - "width": width, - "height": height, - "generationMode": generation_parameters["generation_mode"], - "boundingBox": original_bounding_box, - }, - ) - - if generation_parameters["progress_latents"]: - image = self.generate.sample_to_lowres_estimated_image(sample) - (width, height) = image.size - width *= 8 - height *= 8 - img_base64 = image_to_dataURL(image, image_format="JPEG") - self.socketio.emit( - "intermediateResult", - { - "url": img_base64, - "isBase64": True, - "mtime": 0, - "metadata": {}, - "width": width, - "height": height, - "generationMode": generation_parameters["generation_mode"], - "boundingBox": original_bounding_box, - }, - ) - - self.socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - def image_done(image, seed, first_seed, attention_maps_image=None): - if self.canceled.is_set(): - raise CanceledException - - nonlocal generation_parameters - nonlocal esrgan_parameters - nonlocal facetool_parameters - nonlocal progress - - nonlocal prior_variations - - """ - Tidy up after generation based on generation_mode - """ - # paste the inpainting image back onto the original - if generation_parameters["generation_mode"] == "inpainting": - image = paste_image_into_bounding_box( - Image.open(init_img_path), - image, - **generation_parameters["bounding_box"], - ) - - progress.set_current_status("common.statusGenerationComplete") - - self.socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - all_parameters = generation_parameters - postprocessing = False - - if "variation_amount" in all_parameters and all_parameters["variation_amount"] > 0: - first_seed = first_seed or seed - this_variation = [[seed, all_parameters["variation_amount"]]] - all_parameters["with_variations"] = prior_variations + this_variation - all_parameters["seed"] = first_seed - elif "with_variations" in all_parameters: - all_parameters["seed"] = first_seed - else: - all_parameters["seed"] = seed - - if self.canceled.is_set(): - raise CanceledException - - if esrgan_parameters: - progress.set_current_status("common.statusUpscaling") - progress.set_current_status_has_steps(False) - self.socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - image = self.esrgan.process( - image=image, - upsampler_scale=esrgan_parameters["level"], - denoise_str=esrgan_parameters["denoise_str"], - strength=esrgan_parameters["strength"], - seed=seed, - ) - - postprocessing = True - all_parameters["upscale"] = [ - esrgan_parameters["level"], - esrgan_parameters["denoise_str"], - esrgan_parameters["strength"], - ] - - if self.canceled.is_set(): - raise CanceledException - - if facetool_parameters: - if facetool_parameters["type"] == "gfpgan": - progress.set_current_status("common.statusRestoringFacesGFPGAN") - elif facetool_parameters["type"] == "codeformer": - progress.set_current_status("common.statusRestoringFacesCodeFormer") - - progress.set_current_status_has_steps(False) - self.socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - if facetool_parameters["type"] == "gfpgan": - image = self.gfpgan.process( - image=image, - strength=facetool_parameters["strength"], - seed=seed, - ) - elif facetool_parameters["type"] == "codeformer": - image = self.codeformer.process( - image=image, - strength=facetool_parameters["strength"], - fidelity=facetool_parameters["codeformer_fidelity"], - seed=seed, - device="cpu" if str(self.generate.device) == "mps" else self.generate.device, - ) - all_parameters["codeformer_fidelity"] = facetool_parameters["codeformer_fidelity"] - - postprocessing = True - all_parameters["facetool_strength"] = facetool_parameters["strength"] - all_parameters["facetool_type"] = facetool_parameters["type"] - - progress.set_current_status("common.statusSavingImage") - self.socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - # restore the stashed URLS and discard the paths, we are about to send the result to client - all_parameters["init_img"] = ( - init_img_url if generation_parameters["generation_mode"] == "img2img" else "" - ) - - if "init_mask" in all_parameters: - # TODO: store the mask in metadata - all_parameters["init_mask"] = "" - - if generation_parameters["generation_mode"] == "unifiedCanvas": - all_parameters["bounding_box"] = original_bounding_box - - metadata = self.parameters_to_generated_image_metadata(all_parameters) - - command = parameters_to_command(all_parameters) - - (width, height) = image.size - - generated_image_outdir = ( - self.result_path - if generation_parameters["generation_mode"] in ["txt2img", "img2img"] - else self.temp_image_path - ) - - path = self.save_result_image( - image, - command, - metadata, - generated_image_outdir, - postprocessing=postprocessing, - ) - - thumbnail_path = save_thumbnail(image, os.path.basename(path), self.thumbnail_image_path) - - logger.info(f'Image generated: "{path}"\n') - self.write_log_message(f'[Generated] "{path}": {command}') - - if progress.total_iterations > progress.current_iteration: - progress.set_current_step(1) - progress.set_current_status("common.statusIterationComplete") - progress.set_current_status_has_steps(False) - else: - progress.mark_complete() - - self.socketio.emit("progressUpdate", progress.to_formatted_dict()) - eventlet.sleep(0) - - parsed_prompt, _ = get_prompt_structure(generation_parameters["prompt"]) - with self.generate.model_context as model: - tokens = ( - None - if type(parsed_prompt) is Blend - else get_tokens_for_prompt_object(model.tokenizer, parsed_prompt) - ) - attention_maps_image_base64_url = ( - None if attention_maps_image is None else image_to_dataURL(attention_maps_image) - ) - - self.socketio.emit( - "generationResult", - { - "url": self.get_url_from_image_path(path), - "thumbnail": self.get_url_from_image_path(thumbnail_path), - "mtime": os.path.getmtime(path), - "metadata": metadata, - "dreamPrompt": command, - "width": width, - "height": height, - "boundingBox": original_bounding_box, - "generationMode": generation_parameters["generation_mode"], - "attentionMaps": attention_maps_image_base64_url, - "tokens": tokens, - }, - ) - eventlet.sleep(0) - - progress.set_current_iteration(progress.current_iteration + 1) - - self.generate.prompt2image( - **generation_parameters, - step_callback=image_progress, - image_callback=image_done, - ) - - except KeyboardInterrupt: - # Clear the CUDA cache on an exception - self.empty_cuda_cache() - self.socketio.emit("processingCanceled") - raise - except CanceledException: - # Clear the CUDA cache on an exception - self.empty_cuda_cache() - self.socketio.emit("processingCanceled") - pass - except Exception as e: - # Clear the CUDA cache on an exception - self.empty_cuda_cache() - logger.error(e) - self.handle_exceptions(e) - - def empty_cuda_cache(self): - if self.generate.device.type == "cuda": - import torch.cuda - - torch.cuda.empty_cache() - - def parameters_to_generated_image_metadata(self, parameters): - try: - # top-level metadata minus `image` or `images` - metadata = self.get_system_config() - # remove any image keys not mentioned in RFC #266 - rfc266_img_fields = [ - "type", - "postprocessing", - "sampler", - "prompt", - "seed", - "variations", - "steps", - "cfg_scale", - "threshold", - "perlin", - "step_number", - "width", - "height", - "extra", - "seamless", - "hires_fix", - ] - - rfc_dict = {} - - for item in parameters.items(): - key, value = item - if key in rfc266_img_fields: - rfc_dict[key] = value - - postprocessing = [] - - rfc_dict["type"] = parameters["generation_mode"] - - # 'postprocessing' is either null or an - if "facetool_strength" in parameters: - facetool_parameters = { - "type": str(parameters["facetool_type"]), - "strength": float(parameters["facetool_strength"]), - } - - if parameters["facetool_type"] == "codeformer": - facetool_parameters["fidelity"] = float(parameters["codeformer_fidelity"]) - - postprocessing.append(facetool_parameters) - - if "upscale" in parameters: - postprocessing.append( - { - "type": "esrgan", - "scale": int(parameters["upscale"][0]), - "denoise_str": int(parameters["upscale"][1]), - "strength": float(parameters["upscale"][2]), - } - ) - - rfc_dict["postprocessing"] = postprocessing if len(postprocessing) > 0 else None - - # semantic drift - rfc_dict["sampler"] = parameters["sampler_name"] - - # 'variations' should always exist and be an array, empty or consisting of {'seed': seed, 'weight': weight} pairs - variations = [] - - if "with_variations" in parameters: - variations = [{"seed": x[0], "weight": x[1]} for x in parameters["with_variations"]] - - rfc_dict["variations"] = variations - - if rfc_dict["type"] == "img2img": - rfc_dict["strength"] = parameters["strength"] - rfc_dict["fit"] = parameters["fit"] # TODO: Noncompliant - rfc_dict["orig_hash"] = calculate_init_img_hash(self.get_image_path_from_url(parameters["init_img"])) - rfc_dict["init_image_path"] = parameters["init_img"] # TODO: Noncompliant - - metadata["image"] = rfc_dict - - return metadata - - except Exception as e: - self.handle_exceptions(e) - - def parameters_to_post_processed_image_metadata(self, parameters, original_image_path): - try: - current_metadata = retrieve_metadata(original_image_path)["sd-metadata"] - postprocessing_metadata = {} - - """ - if we don't have an original image metadata to reconstruct, - need to record the original image and its hash - """ - if "image" not in current_metadata: - current_metadata["image"] = {} - - orig_hash = calculate_init_img_hash(self.get_image_path_from_url(original_image_path)) - - postprocessing_metadata["orig_path"] = (original_image_path,) - postprocessing_metadata["orig_hash"] = orig_hash - - if parameters["type"] == "esrgan": - postprocessing_metadata["type"] = "esrgan" - postprocessing_metadata["scale"] = parameters["upscale"][0] - postprocessing_metadata["denoise_str"] = parameters["upscale"][1] - postprocessing_metadata["strength"] = parameters["upscale"][2] - elif parameters["type"] == "gfpgan": - postprocessing_metadata["type"] = "gfpgan" - postprocessing_metadata["strength"] = parameters["facetool_strength"] - elif parameters["type"] == "codeformer": - postprocessing_metadata["type"] = "codeformer" - postprocessing_metadata["strength"] = parameters["facetool_strength"] - postprocessing_metadata["fidelity"] = parameters["codeformer_fidelity"] - - else: - raise TypeError(f"Invalid type: {parameters['type']}") - - if "postprocessing" in current_metadata["image"] and isinstance( - current_metadata["image"]["postprocessing"], list - ): - current_metadata["image"]["postprocessing"].append(postprocessing_metadata) - else: - current_metadata["image"]["postprocessing"] = [postprocessing_metadata] - - return current_metadata - - except Exception as e: - self.handle_exceptions(e) - - def save_result_image( - self, - image, - command, - metadata, - output_dir, - step_index=None, - postprocessing=False, - ): - try: - pngwriter = PngWriter(output_dir) - - number_prefix = pngwriter.unique_prefix() - - uuid = uuid4().hex - truncated_uuid = uuid[:8] - - seed = "unknown_seed" - - if "image" in metadata: - if "seed" in metadata["image"]: - seed = metadata["image"]["seed"] - - filename = f"{number_prefix}.{truncated_uuid}.{seed}" - - if step_index: - filename += f".{step_index}" - if postprocessing: - filename += ".postprocessed" - - filename += ".png" - - path = pngwriter.save_image_and_prompt_to_png( - image=image, - dream_prompt=command, - metadata=metadata, - name=filename, - ) - - return os.path.abspath(path) - - except Exception as e: - self.handle_exceptions(e) - - def make_unique_init_image_filename(self, name): - try: - uuid = uuid4().hex - split = os.path.splitext(name) - name = f"{split[0]}.{uuid}{split[1]}" - return name - except Exception as e: - self.handle_exceptions(e) - - def calculate_real_steps(self, steps, strength, has_init_image): - import math - - return math.floor(strength * steps) if has_init_image else steps - - def write_log_message(self, message): - """Logs the filename and parameters used to generate or process that image to log file""" - try: - message = f"{message}\n" - with open(self.log_path, "a", encoding="utf-8") as file: - file.writelines(message) - - except Exception as e: - self.handle_exceptions(e) - - def get_image_path_from_url(self, url): - """Given a url to an image used by the client, returns the absolute file path to that image""" - try: - if "init-images" in url: - return os.path.abspath(os.path.join(self.init_image_path, os.path.basename(url))) - elif "mask-images" in url: - return os.path.abspath(os.path.join(self.mask_image_path, os.path.basename(url))) - elif "intermediates" in url: - return os.path.abspath(os.path.join(self.intermediate_path, os.path.basename(url))) - elif "temp-images" in url: - return os.path.abspath(os.path.join(self.temp_image_path, os.path.basename(url))) - elif "thumbnails" in url: - return os.path.abspath(os.path.join(self.thumbnail_image_path, os.path.basename(url))) - else: - return os.path.abspath(os.path.join(self.result_path, os.path.basename(url))) - except Exception as e: - self.handle_exceptions(e) - - def get_url_from_image_path(self, path): - """Given an absolute file path to an image, returns the URL that the client can use to load the image""" - try: - if "init-images" in path: - return os.path.join(self.init_image_url, os.path.basename(path)) - elif "mask-images" in path: - return os.path.join(self.mask_image_url, os.path.basename(path)) - elif "intermediates" in path: - return os.path.join(self.intermediate_url, os.path.basename(path)) - elif "temp-images" in path: - return os.path.join(self.temp_image_url, os.path.basename(path)) - elif "thumbnails" in path: - return os.path.join(self.thumbnail_image_url, os.path.basename(path)) - else: - return os.path.join(self.result_url, os.path.basename(path)) - except Exception as e: - self.handle_exceptions(e) - - def save_file_unique_uuid_name(self, bytes, name, path): - try: - uuid = uuid4().hex - truncated_uuid = uuid[:8] - - split = os.path.splitext(name) - name = f"{split[0]}.{truncated_uuid}{split[1]}" - - file_path = os.path.join(path, name) - - os.makedirs(os.path.dirname(file_path), exist_ok=True) - - newFile = open(file_path, "wb") - newFile.write(bytes) - - return file_path - except Exception as e: - self.handle_exceptions(e) - - def handle_exceptions(self, exception, emit_key: str = "error"): - self.socketio.emit(emit_key, {"message": (str(exception))}) - print("\n") - traceback.print_exc() - print("\n") - - -class Progress: - def __init__(self, generation_parameters=None): - self.current_step = 1 - self.total_steps = ( - self._calculate_real_steps( - steps=generation_parameters["steps"], - strength=generation_parameters["strength"] if "strength" in generation_parameters else None, - has_init_image="init_img" in generation_parameters, - ) - if generation_parameters - else 1 - ) - self.current_iteration = 1 - self.total_iterations = generation_parameters["iterations"] if generation_parameters else 1 - self.current_status = "common.statusPreparing" - self.is_processing = True - self.current_status_has_steps = False - self.has_error = False - - def set_current_step(self, current_step): - self.current_step = current_step - - def set_total_steps(self, total_steps): - self.total_steps = total_steps - - def set_current_iteration(self, current_iteration): - self.current_iteration = current_iteration - - def set_total_iterations(self, total_iterations): - self.total_iterations = total_iterations - - def set_current_status(self, current_status): - self.current_status = current_status - - def set_is_processing(self, is_processing): - self.is_processing = is_processing - - def set_current_status_has_steps(self, current_status_has_steps): - self.current_status_has_steps = current_status_has_steps - - def set_has_error(self, has_error): - self.has_error = has_error - - def mark_complete(self): - self.current_status = "common.statusProcessingComplete" - self.current_step = 0 - self.total_steps = 0 - self.current_iteration = 0 - self.total_iterations = 0 - self.is_processing = False - - def to_formatted_dict( - self, - ): - return { - "currentStep": self.current_step, - "totalSteps": self.total_steps, - "currentIteration": self.current_iteration, - "totalIterations": self.total_iterations, - "currentStatus": self.current_status, - "isProcessing": self.is_processing, - "currentStatusHasSteps": self.current_status_has_steps, - "hasError": self.has_error, - } - - def _calculate_real_steps(self, steps, strength, has_init_image): - return math.floor(strength * steps) if has_init_image else steps - - -class CanceledException(Exception): - pass - - -def copy_image_from_bounding_box(image: ImageType, x: int, y: int, width: int, height: int) -> ImageType: - """ - Returns a copy an image, cropped to a bounding box. - """ - with image as im: - bounds = (x, y, x + width, y + height) - im_cropped = im.crop(bounds) - return im_cropped - - -def dataURL_to_image(dataURL: str) -> ImageType: - """ - Converts a base64 image dataURL into an image. - The dataURL is split on the first comma. - """ - image = Image.open( - io.BytesIO( - base64.decodebytes( - bytes( - dataURL.split(",", 1)[1], - "utf-8", - ) - ) - ) - ) - return image - - -def image_to_dataURL(image: ImageType, image_format: str = "PNG") -> str: - """ - Converts an image into a base64 image dataURL. - """ - buffered = io.BytesIO() - image.save(buffered, format=image_format) - mime_type = Image.MIME.get(image_format.upper(), "image/" + image_format.lower()) - image_base64 = f"data:{mime_type};base64," + base64.b64encode(buffered.getvalue()).decode("UTF-8") - return image_base64 - - -def dataURL_to_bytes(dataURL: str) -> bytes: - """ - Converts a base64 image dataURL into bytes. - The dataURL is split on the first comma. - """ - return base64.decodebytes( - bytes( - dataURL.split(",", 1)[1], - "utf-8", - ) - ) - - -def paste_image_into_bounding_box( - recipient_image: ImageType, - donor_image: ImageType, - x: int, - y: int, - width: int, - height: int, -) -> ImageType: - """ - Pastes an image onto another with a bounding box. - """ - with recipient_image as im: - bounds = (x, y, x + width, y + height) - im.paste(donor_image, bounds) - return recipient_image - - -def save_thumbnail( - image: ImageType, - filename: str, - path: str, - size: int = 256, -) -> str: - """ - Saves a thumbnail of an image, returning its path. - """ - base_filename = os.path.splitext(filename)[0] - thumbnail_path = os.path.join(path, base_filename + ".webp") - - if os.path.exists(thumbnail_path): - return thumbnail_path - - thumbnail_width = size - thumbnail_height = round(size * (image.height / image.width)) - - image_copy = image.copy() - image_copy.thumbnail(size=(thumbnail_width, thumbnail_height)) - - image_copy.save(thumbnail_path, "WEBP") - - return thumbnail_path diff --git a/invokeai/backend/web/modules/__init__.py b/invokeai/backend/web/modules/__init__.py deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/invokeai/backend/web/modules/create_cmd_parser.py b/invokeai/backend/web/modules/create_cmd_parser.py deleted file mode 100644 index 856522989b..0000000000 --- a/invokeai/backend/web/modules/create_cmd_parser.py +++ /dev/null @@ -1,56 +0,0 @@ -import argparse -import os - -from ...args import PRECISION_CHOICES - - -def create_cmd_parser(): - parser = argparse.ArgumentParser(description="InvokeAI web UI") - parser.add_argument( - "--host", - type=str, - help="The host to serve on", - default="localhost", - ) - parser.add_argument("--port", type=int, help="The port to serve on", default=9090) - parser.add_argument( - "--cors", - nargs="*", - type=str, - help="Additional allowed origins, comma-separated", - ) - parser.add_argument( - "--embedding_path", - type=str, - help="Path to a pre-trained embedding manager checkpoint - can only be set on command line", - ) - # TODO: Can't get flask to serve images from any dir (saving to the dir does work when specified) - # parser.add_argument( - # "--output_dir", - # default="outputs/", - # type=str, - # help="Directory for output images", - # ) - parser.add_argument( - "-v", - "--verbose", - action="store_true", - help="Enables verbose logging", - ) - parser.add_argument( - "--precision", - dest="precision", - type=str, - choices=PRECISION_CHOICES, - metavar="PRECISION", - help=f'Set model precision. Defaults to auto selected based on device. Options: {", ".join(PRECISION_CHOICES)}', - default="auto", - ) - parser.add_argument( - "--free_gpu_mem", - dest="free_gpu_mem", - action="store_true", - help="Force free gpu memory before final decoding", - ) - - return parser diff --git a/invokeai/backend/web/modules/get_canvas_generation_mode.py b/invokeai/backend/web/modules/get_canvas_generation_mode.py deleted file mode 100644 index 6d680016e7..0000000000 --- a/invokeai/backend/web/modules/get_canvas_generation_mode.py +++ /dev/null @@ -1,113 +0,0 @@ -from typing import Literal, Union - -from PIL import Image, ImageChops -from PIL.Image import Image as ImageType - - -# https://stackoverflow.com/questions/43864101/python-pil-check-if-image-is-transparent -def check_for_any_transparency(img: Union[ImageType, str]) -> bool: - if type(img) is str: - img = Image.open(str) - - if img.info.get("transparency", None) is not None: - return True - if img.mode == "P": - transparent = img.info.get("transparency", -1) - for _, index in img.getcolors(): - if index == transparent: - return True - elif img.mode == "RGBA": - extrema = img.getextrema() - if extrema[3][0] < 255: - return True - return False - - -def get_canvas_generation_mode( - init_img: Union[ImageType, str], init_mask: Union[ImageType, str] -) -> Literal["txt2img", "outpainting", "inpainting", "img2img",]: - if type(init_img) is str: - init_img = Image.open(init_img) - - if type(init_mask) is str: - init_mask = Image.open(init_mask) - - init_img = init_img.convert("RGBA") - - # Get alpha from init_img - init_img_alpha = init_img.split()[-1] - init_img_alpha_mask = init_img_alpha.convert("L") - init_img_has_transparency = check_for_any_transparency(init_img) - - if init_img_has_transparency: - init_img_is_fully_transparent = True if init_img_alpha_mask.getbbox() is None else False - - """ - Mask images are white in areas where no change should be made, black where changes - should be made. - """ - - # Fit the mask to init_img's size and convert it to greyscale - init_mask = init_mask.resize(init_img.size).convert("L") - - """ - PIL.Image.getbbox() returns the bounding box of non-zero areas of the image, so we first - invert the mask image so that masked areas are white and other areas black == zero. - getbbox() now tells us if the are any masked areas. - """ - init_mask_bbox = ImageChops.invert(init_mask).getbbox() - init_mask_exists = False if init_mask_bbox is None else True - - if init_img_has_transparency: - if init_img_is_fully_transparent: - return "txt2img" - else: - return "outpainting" - else: - if init_mask_exists: - return "inpainting" - else: - return "img2img" - - -def main(): - # Testing - init_img_opaque = "test_images/init-img_opaque.png" - init_img_partial_transparency = "test_images/init-img_partial_transparency.png" - init_img_full_transparency = "test_images/init-img_full_transparency.png" - init_mask_no_mask = "test_images/init-mask_no_mask.png" - init_mask_has_mask = "test_images/init-mask_has_mask.png" - - print( - "OPAQUE IMAGE, NO MASK, expect img2img, got ", - get_canvas_generation_mode(init_img_opaque, init_mask_no_mask), - ) - - print( - "IMAGE WITH TRANSPARENCY, NO MASK, expect outpainting, got ", - get_canvas_generation_mode(init_img_partial_transparency, init_mask_no_mask), - ) - - print( - "FULLY TRANSPARENT IMAGE NO MASK, expect txt2img, got ", - get_canvas_generation_mode(init_img_full_transparency, init_mask_no_mask), - ) - - print( - "OPAQUE IMAGE, WITH MASK, expect inpainting, got ", - get_canvas_generation_mode(init_img_opaque, init_mask_has_mask), - ) - - print( - "IMAGE WITH TRANSPARENCY, WITH MASK, expect outpainting, got ", - get_canvas_generation_mode(init_img_partial_transparency, init_mask_has_mask), - ) - - print( - "FULLY TRANSPARENT IMAGE WITH MASK, expect txt2img, got ", - get_canvas_generation_mode(init_img_full_transparency, init_mask_has_mask), - ) - - -if __name__ == "__main__": - main() diff --git a/invokeai/backend/web/modules/parameters.py b/invokeai/backend/web/modules/parameters.py deleted file mode 100644 index 8ab74adb92..0000000000 --- a/invokeai/backend/web/modules/parameters.py +++ /dev/null @@ -1,82 +0,0 @@ -import argparse - -from .parse_seed_weights import parse_seed_weights - -SAMPLER_CHOICES = [ - "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", -] - - -def parameters_to_command(params): - """ - Converts dict of parameters into a `invoke.py` REPL command. - """ - - switches = list() - - if "prompt" in params: - switches.append(f'"{params["prompt"]}"') - if "steps" in params: - switches.append(f'-s {params["steps"]}') - if "seed" in params: - switches.append(f'-S {params["seed"]}') - if "width" in params: - switches.append(f'-W {params["width"]}') - if "height" in params: - switches.append(f'-H {params["height"]}') - if "cfg_scale" in params: - switches.append(f'-C {params["cfg_scale"]}') - if "sampler_name" in params: - switches.append(f'-A {params["sampler_name"]}') - if "seamless" in params and params["seamless"] == True: - switches.append(f"--seamless") - if "hires_fix" in params and params["hires_fix"] == True: - switches.append(f"--hires") - if "init_img" in params and len(params["init_img"]) > 0: - switches.append(f'-I {params["init_img"]}') - if "init_mask" in params and len(params["init_mask"]) > 0: - switches.append(f'-M {params["init_mask"]}') - if "init_color" in params and len(params["init_color"]) > 0: - switches.append(f'--init_color {params["init_color"]}') - if "strength" in params and "init_img" in params: - switches.append(f'-f {params["strength"]}') - if "fit" in params and params["fit"] == True: - switches.append(f"--fit") - if "facetool" in params: - switches.append(f'-ft {params["facetool"]}') - if "facetool_strength" in params and params["facetool_strength"]: - switches.append(f'-G {params["facetool_strength"]}') - elif "gfpgan_strength" in params and params["gfpgan_strength"]: - switches.append(f'-G {params["gfpgan_strength"]}') - if "codeformer_fidelity" in params: - switches.append(f'-cf {params["codeformer_fidelity"]}') - if "upscale" in params and params["upscale"]: - switches.append(f'-U {params["upscale"][0]} {params["upscale"][1]}') - if "variation_amount" in params and params["variation_amount"] > 0: - switches.append(f'-v {params["variation_amount"]}') - if "with_variations" in params: - seed_weight_pairs = ",".join(f"{seed}:{weight}" for seed, weight in params["with_variations"]) - switches.append(f"-V {seed_weight_pairs}") - - return " ".join(switches) diff --git a/invokeai/backend/web/modules/parse_seed_weights.py b/invokeai/backend/web/modules/parse_seed_weights.py deleted file mode 100644 index 7e15d4e166..0000000000 --- a/invokeai/backend/web/modules/parse_seed_weights.py +++ /dev/null @@ -1,47 +0,0 @@ -def parse_seed_weights(seed_weights): - """ - Accepts seed weights as string in "12345:0.1,23456:0.2,3456:0.3" format - Validates them - If valid: returns as [[12345, 0.1], [23456, 0.2], [3456, 0.3]] - If invalid: returns False - """ - - # Must be a string - if not isinstance(seed_weights, str): - return False - # String must not be empty - if len(seed_weights) == 0: - return False - - pairs = [] - - for pair in seed_weights.split(","): - split_values = pair.split(":") - - # Seed and weight are required - if len(split_values) != 2: - return False - - if len(split_values[0]) == 0 or len(split_values[1]) == 1: - return False - - # Try casting the seed to int and weight to float - try: - seed = int(split_values[0]) - weight = float(split_values[1]) - except ValueError: - return False - - # Seed must be 0 or above - if not seed >= 0: - return False - - # Weight must be between 0 and 1 - if not (weight >= 0 and weight <= 1): - return False - - # This pair is valid - pairs.append([seed, weight]) - - # All pairs are valid - return pairs diff --git a/invokeai/backend/web/modules/test_images/init-img_full_transparency.png b/invokeai/backend/web/modules/test_images/init-img_full_transparency.png deleted file mode 100644 index 6cdeada609..0000000000 Binary files a/invokeai/backend/web/modules/test_images/init-img_full_transparency.png and /dev/null differ diff --git a/invokeai/backend/web/modules/test_images/init-img_opaque.png b/invokeai/backend/web/modules/test_images/init-img_opaque.png deleted file mode 100644 index a45aec75ed..0000000000 Binary files a/invokeai/backend/web/modules/test_images/init-img_opaque.png and /dev/null differ diff --git a/invokeai/backend/web/modules/test_images/init-img_partial_transparency.png b/invokeai/backend/web/modules/test_images/init-img_partial_transparency.png deleted file mode 100644 index 348e59fc8a..0000000000 Binary files a/invokeai/backend/web/modules/test_images/init-img_partial_transparency.png and /dev/null differ diff --git a/invokeai/backend/web/modules/test_images/init-mask_has_mask.png b/invokeai/backend/web/modules/test_images/init-mask_has_mask.png deleted file mode 100644 index 88fe072950..0000000000 Binary files a/invokeai/backend/web/modules/test_images/init-mask_has_mask.png and /dev/null differ diff --git a/invokeai/backend/web/modules/test_images/init-mask_no_mask.png b/invokeai/backend/web/modules/test_images/init-mask_no_mask.png deleted file mode 100644 index 2aecd3ea7d..0000000000 Binary files a/invokeai/backend/web/modules/test_images/init-mask_no_mask.png and /dev/null differ diff --git a/invokeai/frontend/web/dist/assets/App-0a099278.js b/invokeai/frontend/web/dist/assets/App-0a099278.js deleted file mode 100644 index 6ce732787f..0000000000 --- a/invokeai/frontend/web/dist/assets/App-0a099278.js +++ /dev/null @@ -1,169 +0,0 @@ -import{t as Cv,r as dR,i as kv,a as Tc,b as P_,S as j_,c as I_,d as E_,e as _v,f as O_,g as Pv,h as fR,j as pR,k as hR,l as mR,m as 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JC=Object.getOwnPropertySymbols,Tq=Object.prototype.hasOwnProperty,Nq=Object.prototype.propertyIsEnumerable,$q=(e,t)=>{var n={};for(var r in e)Tq.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&JC)for(var r of JC(e))t.indexOf(r)<0&&Nq.call(e,r)&&(n[r]=e[r]);return n};const Lq={position:"bottom",offset:8,positionDependencies:[],transitionProps:{transition:"fade",duration:150},middlewares:{flip:!0,shift:!0,inline:!1},arrowSize:7,arrowOffset:5,arrowRadius:0,arrowPosition:"side",closeOnClickOutside:!0,withinPortal:!1,closeOnEscape:!0,trapFocus:!1,withRoles:!0,returnFocus:!1,clickOutsideEvents:["mousedown","touchstart"],zIndex:ry("popover"),__staticSelector:"Popover",width:"max-content"};function Gc(e){var t,n,r,o,s,a;const c=f.useRef(null),d=Cr("Popover",Lq,e),{children:p,position:h,offset:m,onPositionChange:v,positionDependencies:b,opened:w,transitionProps:y,width:S,middlewares:k,withArrow:_,arrowSize:P,arrowOffset:I,arrowRadius:E,arrowPosition:O,unstyled:R,classNames:M,styles:D,closeOnClickOutside:A,withinPortal:L,portalProps:Q,closeOnEscape:F,clickOutsideEvents:V,trapFocus:q,onClose:G,onOpen:T,onChange:z,zIndex:$,radius:Y,shadow:ae,id:fe,defaultOpened:ie,__staticSelector:X,withRoles:K,disabled:U,returnFocus:se,variant:re,keepMounted:oe}=d,pe=$q(d,["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"]),[le,ge]=f.useState(null),[ke,xe]=f.useState(null),de=sy(fe),Te=Ha(),Ee=tq({middlewares:k,width:S,position:Aq(Te.dir,h),offset:typeof m=="number"?m+(_?P/2:0):m,arrowRef:c,arrowOffset:I,onPositionChange:v,positionDependencies:b,opened:w,defaultOpened:ie,onChange:z,onOpen:T,onClose:G});fW(()=>Ee.opened&&A&&Ee.onClose(),V,[le,ke]);const $e=f.useCallback(ct=>{ge(ct),Ee.floating.reference(ct)},[Ee.floating.reference]),kt=f.useCallback(ct=>{xe(ct),Ee.floating.floating(ct)},[Ee.floating.floating]);return H.createElement(nq,{value:{returnFocus:se,disabled:U,controlled:Ee.controlled,reference:$e,floating:kt,x:Ee.floating.x,y:Ee.floating.y,arrowX:(r=(n=(t=Ee.floating)==null?void 0:t.middlewareData)==null?void 0:n.arrow)==null?void 0:r.x,arrowY:(a=(s=(o=Ee.floating)==null?void 0:o.middlewareData)==null?void 0:s.arrow)==null?void 0:a.y,opened:Ee.opened,arrowRef:c,transitionProps:y,width:S,withArrow:_,arrowSize:P,arrowOffset:I,arrowRadius:E,arrowPosition:O,placement:Ee.floating.placement,trapFocus:q,withinPortal:L,portalProps:Q,zIndex:$,radius:Y,shadow:ae,closeOnEscape:F,onClose:Ee.onClose,onToggle:Ee.onToggle,getTargetId:()=>`${de}-target`,getDropdownId:()=>`${de}-dropdown`,withRoles:K,targetProps:pe,__staticSelector:X,classNames:M,styles:D,unstyled:R,variant:re,keepMounted:oe}},p)}Gc.Target=Kj;Gc.Dropdown=nI;Gc.displayName="@mantine/core/Popover";var zq=Object.defineProperty,Mh=Object.getOwnPropertySymbols,rI=Object.prototype.hasOwnProperty,oI=Object.prototype.propertyIsEnumerable,ZC=(e,t,n)=>t in e?zq(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n,Bq=(e,t)=>{for(var n in t||(t={}))rI.call(t,n)&&ZC(e,n,t[n]);if(Mh)for(var n of Mh(t))oI.call(t,n)&&ZC(e,n,t[n]);return e},Fq=(e,t)=>{var n={};for(var r in e)rI.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&Mh)for(var r of 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hi({opened:e,transitionProps:t={transition:"fade",duration:0},shadow:n,withinPortal:r,portalProps:o,children:s,__staticSelector:a,onDirectionChange:c,switchDirectionOnFlip:d,zIndex:p,dropdownPosition:h,positionDependencies:m=[],classNames:v,styles:b,unstyled:w,readOnly:y,variant:S}){return H.createElement(Gc,{unstyled:w,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:a,withinPortal:r,portalProps:o,transitionProps:t,shadow:n,disabled:y,onPositionChange:k=>d&&(c==null?void 0:c(k==="top"?"column-reverse":"column")),variant:S},s)}hi.Target=Gc.Target;hi.Dropdown=Hq;var Wq=Object.defineProperty,Vq=Object.defineProperties,Uq=Object.getOwnPropertyDescriptors,Dh=Object.getOwnPropertySymbols,sI=Object.prototype.hasOwnProperty,aI=Object.prototype.propertyIsEnumerable,e4=(e,t,n)=>t in e?Wq(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n,ap=(e,t)=>{for(var n in t||(t={}))sI.call(t,n)&&e4(e,n,t[n]);if(Dh)for(var n of Dh(t))aI.call(t,n)&&e4(e,n,t[n]);return e},Gq=(e,t)=>Vq(e,Uq(t)),qq=(e,t)=>{var n={};for(var r in e)sI.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&Dh)for(var r of Dh(e))t.indexOf(r)<0&&aI.call(e,r)&&(n[r]=e[r]);return n};function iI(e,t,n){const 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r=n.getBoundingClientRect();this.parentLeft=r.left,this.parentTop=r.top}}if(this.props.bounds&&typeof this.props.bounds!="string"){var o=this.props.bounds.getBoundingClientRect();this.targetLeft=o.left,this.targetTop=o.top}if(this.resizable){var s=this.resizable.getBoundingClientRect(),a=s.left,c=s.top,d=s.right,p=s.bottom;this.resizableLeft=a,this.resizableRight=d,this.resizableTop=c,this.resizableBottom=p}},t.prototype.onResizeStart=function(n,r){if(!(!this.resizable||!this.window)){var o=0,s=0;if(n.nativeEvent&&pY(n.nativeEvent)?(o=n.nativeEvent.clientX,s=n.nativeEvent.clientY):n.nativeEvent&&dp(n.nativeEvent)&&(o=n.nativeEvent.touches[0].clientX,s=n.nativeEvent.touches[0].clientY),this.props.onResizeStart&&this.resizable){var a=this.props.onResizeStart(n,r,this.resizable);if(a===!1)return}this.props.size&&(typeof this.props.size.height<"u"&&this.props.size.height!==this.state.height&&this.setState({height:this.props.size.height}),typeof 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o=this.props,s=o.maxWidth,a=o.maxHeight,c=o.minWidth,d=o.minHeight,p=dp(n)?n.touches[0].clientX:n.clientX,h=dp(n)?n.touches[0].clientY:n.clientY,m=this.state,v=m.direction,b=m.original,w=m.width,y=m.height,S=this.getParentSize(),k=hY(S,this.window.innerWidth,this.window.innerHeight,s,a,c,d);s=k.maxWidth,a=k.maxHeight,c=k.minWidth,d=k.minHeight;var _=this.calculateNewSizeFromDirection(p,h),P=_.newHeight,I=_.newWidth,E=this.calculateNewMaxFromBoundary(s,a);this.props.snap&&this.props.snap.x&&(I=M4(I,this.props.snap.x,this.props.snapGap)),this.props.snap&&this.props.snap.y&&(P=M4(P,this.props.snap.y,this.props.snapGap));var O=this.calculateNewSizeFromAspectRatio(I,P,{width:E.maxWidth,height:E.maxHeight},{width:c,height:d});if(I=O.newWidth,P=O.newHeight,this.props.grid){var R=R4(I,this.props.grid[0]),M=R4(P,this.props.grid[1]),D=this.props.snapGap||0;I=D===0||Math.abs(R-I)<=D?R:I,P=D===0||Math.abs(M-P)<=D?M:P}var A={width:I-b.width,height:P-b.height};if(w&&typeof w=="string"){if(w.endsWith("%")){var L=I/S.width*100;I=L+"%"}else if(w.endsWith("vw")){var Q=I/this.window.innerWidth*100;I=Q+"vw"}else if(w.endsWith("vh")){var F=I/this.window.innerHeight*100;I=F+"vh"}}if(y&&typeof y=="string"){if(y.endsWith("%")){var L=P/S.height*100;P=L+"%"}else if(y.endsWith("vw")){var Q=P/this.window.innerWidth*100;P=Q+"vw"}else if(y.endsWith("vh")){var F=P/this.window.innerHeight*100;P=F+"vh"}}var V={width:this.createSizeForCssProperty(I,"width"),height:this.createSizeForCssProperty(P,"height")};this.flexDir==="row"?V.flexBasis=V.width:this.flexDir==="column"&&(V.flexBasis=V.height),_i.flushSync(function(){r.setState(V)}),this.props.onResize&&this.props.onResize(n,v,this.resizable,A)}},t.prototype.onMouseUp=function(n){var r=this.state,o=r.isResizing,s=r.direction,a=r.original;if(!(!o||!this.resizable)){var 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yi({opened:e,transitionProps:t={transition:"fade",duration:0},shadow:n,withinPortal:r,portalProps:o,children:s,__staticSelector:i,onDirectionChange:c,switchDirectionOnFlip:d,zIndex:p,dropdownPosition:h,positionDependencies:m=[],classNames:v,styles:b,unstyled:w,readOnly:y,variant:S}){return W.createElement(qc,{unstyled:w,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:y,onPositionChange:k=>d&&(c==null?void 0:c(k==="top"?"column-reverse":"column")),variant:S},s)}yi.Target=qc.Target;yi.Dropdown=Uq;var Gq=Object.defineProperty,qq=Object.defineProperties,Kq=Object.getOwnPropertyDescriptors,Th=Object.getOwnPropertySymbols,sI=Object.prototype.hasOwnProperty,aI=Object.prototype.propertyIsEnumerable,t4=(e,t,n)=>t in 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o=this.props,s=o.maxWidth,i=o.maxHeight,c=o.minWidth,d=o.minHeight,p=pp(n)?n.touches[0].clientX:n.clientX,h=pp(n)?n.touches[0].clientY:n.clientY,m=this.state,v=m.direction,b=m.original,w=m.width,y=m.height,S=this.getParentSize(),k=vY(S,this.window.innerWidth,this.window.innerHeight,s,i,c,d);s=k.maxWidth,i=k.maxHeight,c=k.minWidth,d=k.minHeight;var _=this.calculateNewSizeFromDirection(p,h),P=_.newHeight,I=_.newWidth,E=this.calculateNewMaxFromBoundary(s,i);this.props.snap&&this.props.snap.x&&(I=D4(I,this.props.snap.x,this.props.snapGap)),this.props.snap&&this.props.snap.y&&(P=D4(P,this.props.snap.y,this.props.snapGap));var O=this.calculateNewSizeFromAspectRatio(I,P,{width:E.maxWidth,height:E.maxHeight},{width:c,height:d});if(I=O.newWidth,P=O.newHeight,this.props.grid){var R=M4(I,this.props.grid[0]),M=M4(P,this.props.grid[1]),D=this.props.snapGap||0;I=D===0||Math.abs(R-I)<=D?R:I,P=D===0||Math.abs(M-P)<=D?M:P}var A={width:I-b.width,height:P-b.height};if(w&&typeof w=="string"){if(w.endsWith("%")){var L=I/S.width*100;I=L+"%"}else if(w.endsWith("vw")){var Q=I/this.window.innerWidth*100;I=Q+"vw"}else if(w.endsWith("vh")){var F=I/this.window.innerHeight*100;I=F+"vh"}}if(y&&typeof y=="string"){if(y.endsWith("%")){var L=P/S.height*100;P=L+"%"}else if(y.endsWith("vw")){var Q=P/this.window.innerWidth*100;P=Q+"vw"}else if(y.endsWith("vh")){var F=P/this.window.innerHeight*100;P=F+"vh"}}var V={width:this.createSizeForCssProperty(I,"width"),height:this.createSizeForCssProperty(P,"height")};this.flexDir==="row"?V.flexBasis=V.width:this.flexDir==="column"&&(V.flexBasis=V.height),_i.flushSync(function(){r.setState(V)}),this.props.onResize&&this.props.onResize(n,v,this.resizable,A)}},t.prototype.onMouseUp=function(n){var r=this.state,o=r.isResizing,s=r.direction,i=r.original;if(!(!o||!this.resizable)){var 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a.jsxs(Ns,{children:[a.jsx(jt,{label:"a_mult",value:o,onChange:d,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})]})},pne=f.memo(fne),jp=ls.mlsd_image_processor.default,hne=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s,thr_d:i,thr_v:c}=n,d=Ts(),p=B(kr),h=f.useCallback(_=>{d(t,{detect_resolution:_})},[t,d]),m=f.useCallback(_=>{d(t,{image_resolution:_})},[t,d]),v=f.useCallback(_=>{d(t,{thr_d:_})},[t,d]),b=f.useCallback(_=>{d(t,{thr_v:_})},[t,d]),w=f.useCallback(()=>{d(t,{detect_resolution:jp.detect_resolution})},[t,d]),y=f.useCallback(()=>{d(t,{image_resolution:jp.image_resolution})},[t,d]),S=f.useCallback(()=>{d(t,{thr_d:jp.thr_d})},[t,d]),k=f.useCallback(()=>{d(t,{thr_v:jp.thr_v})},[t,d]);return a.jsxs(Ns,{children:[a.jsx(jt,{label:"Detect 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a.jsxs(Ns,{children:[a.jsx(jt,{label:"Detect Resolution",value:s,onChange:d,handleReset:h,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:c||!r}),a.jsx(jt,{label:"Image Resolution",value:o,onChange:p,handleReset:m,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:c||!r})]})},vne=f.memo(gne),Hk=ls.openpose_image_processor.default,bne=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s,hand_and_face:i}=n,c=Ts(),d=B(kr),p=f.useCallback(w=>{c(t,{detect_resolution:w})},[t,c]),h=f.useCallback(w=>{c(t,{image_resolution:w})},[t,c]),m=f.useCallback(()=>{c(t,{detect_resolution:Hk.detect_resolution})},[t,c]),v=f.useCallback(()=>{c(t,{image_resolution:Hk.image_resolution})},[t,c]),b=f.useCallback(w=>{c(t,{hand_and_face:w.target.checked})},[t,c]);return a.jsxs(Ns,{children:[a.jsx(jt,{label:"Detect 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r.type==="canny_image_processor"?a.jsx(tne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="hed_image_processor"?a.jsx(sne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="lineart_image_processor"?a.jsx(cne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="content_shuffle_image_processor"?a.jsx(rne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="lineart_anime_image_processor"?a.jsx(ine,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="mediapipe_face_processor"?a.jsx(dne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="midas_depth_image_processor"?a.jsx(pne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="mlsd_image_processor"?a.jsx(mne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="normalbae_image_processor"?a.jsx(vne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="openpose_image_processor"?a.jsx(yne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="pidi_image_processor"?a.jsx(wne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="zoe_depth_image_processor"?a.jsx(Cne,{controlNetId:t,processorNode:r,isEnabled:n}):null},_ne=f.memo(kne),Pne=e=>{const{controlNetId:t,isEnabled:n,shouldAutoConfig:r}=e.controlNet,o=te(),s=B(kr),i=f.useCallback(()=>{o(Q7({controlNetId:t}))},[t,o]);return a.jsx(yr,{label:"Auto configure processor","aria-label":"Auto configure processor",isChecked:r,onChange:i,isDisabled:s||!n})},jne=f.memo(Pne),Vk=e=>`${Math.round(e*100)}%`,Ine=e=>{const{beginStepPct:t,endStepPct:n,isEnabled:r,controlNetId:o}=e.controlNet,s=te(),i=f.useCallback(c=>{s(J7({controlNetId:o,beginStepPct:c[0]})),s(Z7({controlNetId:o,endStepPct:c[1]}))},[o,s]);return a.jsxs(go,{isDisabled:!r,children:[a.jsx(Bo,{children:"Begin / End Step Percentage"}),a.jsx(bi,{w:"100%",gap:2,alignItems:"center",children:a.jsxs(K6,{"aria-label":["Begin Step %","End Step %"],value:[t,n],onChange:i,min:0,max:1,step:.01,minStepsBetweenThumbs:5,isDisabled:!r,children:[a.jsx(X6,{children:a.jsx(Y6,{})}),a.jsx(vn,{label:Vk(t),placement:"top",hasArrow:!0,children:a.jsx(l1,{index:0})}),a.jsx(vn,{label:Vk(n),placement:"top",hasArrow:!0,children:a.jsx(l1,{index:1})}),a.jsx(Np,{value:0,sx:{insetInlineStart:"0 !important",insetInlineEnd:"unset 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t=te(),{controlNetId:n,isEnabled:r,processorNode:o}=e.controlNet,s=B(kr),i=B(Mne),c=f.useCallback(d=>{t(tM({controlNetId:n,processorType:d}))},[n,t]);return a.jsx(ar,{label:"Processor",value:o.type??"canny_image_processor",data:i,onChange:c,disabled:s||!r})},Ane=f.memo(Dne),Tne=[{label:"Resize",value:"just_resize"},{label:"Crop",value:"crop_resize"},{label:"Fill",value:"fill_resize"}];function Nne(e){const{resizeMode:t,isEnabled:n,controlNetId:r}=e.controlNet,o=te(),s=f.useCallback(i=>{o(nM({controlNetId:r,resizeMode:i}))},[r,o]);return a.jsx(Fr,{disabled:!n,label:"Resize Mode",data:Tne,value:String(t),onChange:s})}const $ne=e=>{const{controlNet:t}=e,{controlNetId:n}=t,r=te(),o=be(at,({controlNet:v})=>{const 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a.jsx(yr,{label:"Enable ControlNet",isChecked:e,onChange:n,formControlProps:{width:"100%"}})},Fne=be([at],({controlNet:e})=>{const{controlNets:t,isEnabled:n}=e,r=iM(t),o=n&&r.length>0?`${r.length} Active`:void 0;return{controlNetsArray:cs(t),activeLabel:o}},Ke),Hne=()=>{const{controlNetsArray:e,activeLabel:t}=B(Fne),n=ir("controlNet").isFeatureDisabled,r=te(),{firstModel:o}=ub(void 0,{selectFromResult:i=>({firstModel:i.data?lM.getSelectors().selectAll(i.data)[0]:void 0})}),s=f.useCallback(()=>{if(!o)return;const i=vi();r(cM({controlNetId:i})),r(n5({controlNetId:i,model:o}))},[r,o]);return n?null:a.jsx(bo,{label:"ControlNet",activeLabel:t,children:a.jsxs(H,{sx:{flexDir:"column",gap:3},children:[a.jsxs(H,{gap:2,alignItems:"center",children:[a.jsx(H,{sx:{flexDirection:"column",w:"100%",gap:2,px:4,py:2,borderRadius:4,bg:"base.200",_dark:{bg:"base.850"}},children:a.jsx(Bne,{})}),a.jsx(ze,{tooltip:"Add ControlNet","aria-label":"Add 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a.jsx(yr,{label:"Enable Noise Settings",isChecked:t,onChange:n})},Kne=be(at,e=>{const{shouldUseNoiseSettings:t,perlin:n}=e.generation;return{isDisabled:!t,perlin:n}},Ke);function Xne(){const e=te(),{perlin:t,isDisabled:n}=B(Kne),{t:r}=ye();return a.jsx(jt,{isDisabled:n,label:r("parameters.perlinNoise"),min:0,max:1,step:.05,onChange:o=>e(cw(o)),handleReset:()=>e(cw(0)),value:t,withInput:!0,withReset:!0,withSliderMarks:!0})}const Yne=be(at,e=>{const{shouldUseNoiseSettings:t}=e.generation;return{activeLabel:t?"Enabled":void 0}},Ke),Qne=()=>{const{t:e}=ye(),t=ir("noise").isFeatureEnabled,n=ir("perlinNoise").isFeatureEnabled,r=ir("noiseThreshold").isFeatureEnabled,{activeLabel:o}=B(Yne);return t?a.jsx(bo,{label:e("parameters.noiseSettings"),activeLabel:o,children:a.jsxs(H,{sx:{gap:2,flexDirection:"column"},children:[a.jsx(qne,{}),a.jsx(Vne,{}),n&&a.jsx(Xne,{}),r&&a.jsx(Gne,{})]})}):null},Jd=f.memo(Qne),Jne=be(vo,e=>({isProcessing:e.isProcessing,isConnected:e.isConnected,isCancelable:e.isCancelable,currentIteration:e.currentIteration,totalIterations:e.totalIterations,sessionId:e.sessionId,cancelType:e.cancelType,isCancelScheduled:e.isCancelScheduled}),{memoizeOptions:{resultEqualityCheck:Zt}}),Zne=e=>{const t=te(),{btnGroupWidth:n="auto",...r}=e,{isProcessing:o,isConnected:s,isCancelable:i,cancelType:c,isCancelScheduled:d,sessionId:p}=B(Jne),h=f.useCallback(()=>{if(p){if(c==="scheduled"){t(fM());return}t(pM({session_id:p}))}},[t,p,c]),{t:m}=ye(),v=f.useCallback(y=>{const S=Array.isArray(y)?y[0]:y;t(hM(S))},[t]);tt("shift+x",()=>{(s||o)&&i&&h()},[s,o,i]);const 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t?null:a.jsx(GI,{direction:"left",isResizable:!1,isOpen:n,onClose:o,children:a.jsxs(H,{sx:{flexDir:"column",h:"full",w:ox,gap:2,position:"relative",flexShrink:0,overflowY:"auto"},children:[a.jsxs(H,{paddingBottom:4,justifyContent:"space-between",alignItems:"center",children:[a.jsx(gO,{}),a.jsx(HO,{})]}),a.jsx(H,{sx:{gap:2,flexDirection:"column",h:"full",w:"full"},children:i})]})})},qde=f.memo(Gde),Kde=be([e=>e.hotkeys,e=>e.ui],(e,t)=>{const{shift:n}=e,{shouldPinParametersPanel:r,shouldPinGallery:o}=t;return{shift:n,shouldPinGallery:o,shouldPinParametersPanel:r}},{memoizeOptions:{resultEqualityCheck:Zt}}),Xde=()=>{const e=te(),{shift:t,shouldPinParametersPanel:n,shouldPinGallery:r}=B(Kde),o=B(Kn);return 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this source tree. + */var dm=Symbol.for("react.element"),fQ=Symbol.for("react.portal"),hQ=Symbol.for("react.fragment"),pQ=Symbol.for("react.strict_mode"),gQ=Symbol.for("react.profiler"),mQ=Symbol.for("react.provider"),yQ=Symbol.for("react.context"),vQ=Symbol.for("react.forward_ref"),_Q=Symbol.for("react.suspense"),bQ=Symbol.for("react.memo"),SQ=Symbol.for("react.lazy"),VP=Symbol.iterator;function wQ(e){return e===null||typeof e!="object"?null:(e=VP&&e[VP]||e["@@iterator"],typeof e=="function"?e:null)}var U7={isMounted:function(){return!1},enqueueForceUpdate:function(){},enqueueReplaceState:function(){},enqueueSetState:function(){}},z7=Object.assign,V7={};function Kf(e,t,n){this.props=e,this.context=t,this.refs=V7,this.updater=n||U7}Kf.prototype.isReactComponent={};Kf.prototype.setState=function(e,t){if(typeof e!="object"&&typeof e!="function"&&e!=null)throw Error("setState(...): takes an object of state variables to update or a function which returns an object of state 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ct{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.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return Rl(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:Rl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new ri,ctx:{common:t.parent.common,data:t.data,parsedType:Rl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(P1(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:Rl(t)},o=this._parseSync({data:t,path:i.path,parent:i});return Y9(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:Rl(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(P1(i)?i:Promise.resolve(i));return Y9(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:me.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 gs({schema:this,typeName:qe.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Ma.create(this,this._def)}nullable(){return vc.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return cs.create(this,this._def)}promise(){return Df.create(this,this._def)}or(t){return Rg.create([this,t],this._def)}and(t){return Og.create(this,t,this._def)}transform(t){return new gs({...ot(this._def),schema:this,typeName:qe.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new Lg({...ot(this._def),innerType:this,defaultValue:n,typeName:qe.ZodDefault})}brand(){return new l$({typeName:qe.ZodBranded,type:this,...ot(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new I1({...ot(this._def),innerType:this,catchValue:n,typeName:qe.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return Pm.create(this,t)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const kle=/^c[^\s-]{8,}$/i,Ile=/^[a-z][a-z0-9]*$/,Mle=/[0-9A-HJKMNP-TV-Z]{26}/,Nle=/^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i,Lle=/^(([^<>()[\]\\.,;:\s@\"]+(\.[^<>()[\]\\.,;:\s@\"]+)*)|(\".+\"))@((\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\])|(\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\.[A-Za-z]{2,})+))$/,Dle=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,$le=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,Fle=/^(([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})))$/,Ble=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${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$");function Ule(e,t){return!!((t==="v4"||!t)&&$le.test(e)||(t==="v6"||!t)&&Fle.test(e))}class os extends ct{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:me.invalid_string,...ze.errToObj(r)}),this.nonempty=t=>this.min(1,ze.errToObj(t)),this.trim=()=>new os({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new os({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new os({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==Ce.string){const o=this._getOrReturnCtx(t);return Ee(o,{code:me.invalid_type,expected:Ce.string,received:o.parsedType}),Ye}const r=new ri;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.lengtho.value&&(i=this._getOrReturnCtx(t,i),Ee(i,{code:me.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"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{var t;return new os({checks:[],typeName:qe.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...ot(e)})};function zle(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 eu extends ct{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)!==Ce.number){const o=this._getOrReturnCtx(t);return Ee(o,{code:me.invalid_type,expected:Ce.number,received:o.parsedType}),Ye}let r;const i=new ri;for(const o of this._def.checks)o.kind==="int"?kt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?zle(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.not_finite,message:o.message}),i.dirty()):kt.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 eu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:ze.toString(i)}]})}_addCheck(t){return new eu({...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.valuet.kind==="int"||t.kind==="multipleOf"&&kt.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.valuenew eu({checks:[],typeName:qe.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...ot(e)});class tu extends ct{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)!==Ce.bigint){const o=this._getOrReturnCtx(t);return Ee(o,{code:me.invalid_type,expected:Ce.bigint,received:o.parsedType}),Ye}let r;const i=new ri;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.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),Ee(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):kt.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 tu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:ze.toString(i)}]})}_addCheck(t){return new tu({...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{var t;return new tu({checks:[],typeName:qe.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...ot(e)})};class Eg extends ct{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==Ce.boolean){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.boolean,received:r.parsedType}),Ye}return _i(t.data)}}Eg.create=e=>new Eg({typeName:qe.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...ot(e)});class mc extends ct{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==Ce.date){const o=this._getOrReturnCtx(t);return Ee(o,{code:me.invalid_type,expected:Ce.date,received:o.parsedType}),Ye}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Ee(o,{code:me.invalid_date}),Ye}const r=new ri;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()o.value&&(i=this._getOrReturnCtx(t,i),Ee(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):kt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new mc({...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.valuenew mc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:qe.ZodDate,...ot(e)});class R1 extends ct{_parse(t){if(this._getType(t)!==Ce.symbol){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.symbol,received:r.parsedType}),Ye}return _i(t.data)}}R1.create=e=>new R1({typeName:qe.ZodSymbol,...ot(e)});class Ag extends ct{_parse(t){if(this._getType(t)!==Ce.undefined){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.undefined,received:r.parsedType}),Ye}return _i(t.data)}}Ag.create=e=>new Ag({typeName:qe.ZodUndefined,...ot(e)});class Pg extends ct{_parse(t){if(this._getType(t)!==Ce.null){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.null,received:r.parsedType}),Ye}return _i(t.data)}}Pg.create=e=>new Pg({typeName:qe.ZodNull,...ot(e)});class Lf extends ct{constructor(){super(...arguments),this._any=!0}_parse(t){return _i(t.data)}}Lf.create=e=>new Lf({typeName:qe.ZodAny,...ot(e)});class ic extends ct{constructor(){super(...arguments),this._unknown=!0}_parse(t){return _i(t.data)}}ic.create=e=>new ic({typeName:qe.ZodUnknown,...ot(e)});class Ga extends ct{_parse(t){const n=this._getOrReturnCtx(t);return Ee(n,{code:me.invalid_type,expected:Ce.never,received:n.parsedType}),Ye}}Ga.create=e=>new Ga({typeName:qe.ZodNever,...ot(e)});class O1 extends ct{_parse(t){if(this._getType(t)!==Ce.undefined){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.void,received:r.parsedType}),Ye}return _i(t.data)}}O1.create=e=>new O1({typeName:qe.ZodVoid,...ot(e)});class cs extends ct{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==Ce.array)return Ee(n,{code:me.invalid_type,expected:Ce.array,received:n.parsedType}),Ye;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.lengthi.maxLength.value&&(Ee(n,{code:me.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 Ks(n,s,n.path,a)))).then(s=>ri.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ks(n,s,n.path,a)));return ri.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new cs({...this._def,minLength:{value:t,message:ze.toString(n)}})}max(t,n){return new cs({...this._def,maxLength:{value:t,message:ze.toString(n)}})}length(t,n){return new cs({...this._def,exactLength:{value:t,message:ze.toString(n)}})}nonempty(t){return this.min(1,t)}}cs.create=(e,t)=>new cs({type:e,minLength:null,maxLength:null,exactLength:null,typeName:qe.ZodArray,...ot(t)});function Rd(e){if(e instanceof Tn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ma.create(Rd(r))}return new Tn({...e._def,shape:()=>t})}else return e instanceof cs?new cs({...e._def,type:Rd(e.element)}):e instanceof Ma?Ma.create(Rd(e.unwrap())):e instanceof vc?vc.create(Rd(e.unwrap())):e instanceof Xs?Xs.create(e.items.map(t=>Rd(t))):e}class Tn extends ct{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=kt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==Ce.object){const u=this._getOrReturnCtx(t);return Ee(u,{code:me.invalid_type,expected:Ce.object,received:u.parsedType}),Ye}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Ga&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ks(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Ga){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Ee(i,{code:me.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 d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ks(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>ri.mergeObjectSync(r,u)):ri.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return ze.errToObj,new Tn({...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 Tn({...this._def,unknownKeys:"strip"})}passthrough(){return new Tn({...this._def,unknownKeys:"passthrough"})}extend(t){return new Tn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Tn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:qe.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Tn({...this._def,catchall:t})}pick(t){const n={};return kt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Tn({...this._def,shape:()=>n})}omit(t){const n={};return kt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Tn({...this._def,shape:()=>n})}deepPartial(){return Rd(this)}partial(t){const n={};return kt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Tn({...this._def,shape:()=>n})}required(t){const n={};return kt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ma;)o=o._def.innerType;n[r]=o}}),new Tn({...this._def,shape:()=>n})}keyof(){return a$(kt.objectKeys(this.shape))}}Tn.create=(e,t)=>new Tn({shape:()=>e,unknownKeys:"strip",catchall:Ga.create(),typeName:qe.ZodObject,...ot(t)});Tn.strictCreate=(e,t)=>new Tn({shape:()=>e,unknownKeys:"strict",catchall:Ga.create(),typeName:qe.ZodObject,...ot(t)});Tn.lazycreate=(e,t)=>new Tn({shape:e,unknownKeys:"strip",catchall:Ga.create(),typeName:qe.ZodObject,...ot(t)});class Rg extends ct{_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 us(a.ctx.common.issues));return Ee(n,{code:me.invalid_union,unionErrors:s}),Ye}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},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,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 us(l));return Ee(n,{code:me.invalid_union,unionErrors:a}),Ye}}get options(){return this._def.options}}Rg.create=(e,t)=>new Rg({options:e,typeName:qe.ZodUnion,...ot(t)});const xv=e=>e instanceof Ig?xv(e.schema):e instanceof gs?xv(e.innerType()):e instanceof Mg?[e.value]:e instanceof nu?e.options:e instanceof Ng?Object.keys(e.enum):e instanceof Lg?xv(e._def.innerType):e instanceof Ag?[void 0]:e instanceof Pg?[null]:null;class yb extends ct{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ce.object)return Ee(n,{code:me.invalid_type,expected:Ce.object,received:n.parsedType}),Ye;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}):(Ee(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),Ye)}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=xv(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 yb({typeName:qe.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...ot(r)})}}function U3(e,t){const n=Rl(e),r=Rl(t);if(e===t)return{valid:!0,data:e};if(n===Ce.object&&r===Ce.object){const i=kt.objectKeys(t),o=kt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=U3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===Ce.array&&r===Ce.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o{if(F3(o)||F3(s))return Ye;const a=U3(o.value,s.value);return a.valid?((B3(o)||B3(s))&&n.dirty(),{status:n.value,value:a.data}):(Ee(r,{code:me.invalid_intersection_types}),Ye)};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}))}}Og.create=(e,t,n)=>new Og({left:e,right:t,typeName:qe.ZodIntersection,...ot(n)});class Xs extends ct{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ce.array)return Ee(r,{code:me.invalid_type,expected:Ce.array,received:r.parsedType}),Ye;if(r.data.lengththis._def.items.length&&(Ee(r,{code:me.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 Ks(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>ri.mergeArray(n,s)):ri.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Xs({...this._def,rest:t})}}Xs.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Xs({items:e,typeName:qe.ZodTuple,rest:null,...ot(t)})};class kg extends ct{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!==Ce.object)return Ee(r,{code:me.invalid_type,expected:Ce.object,received:r.parsedType}),Ye;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ks(r,a,r.path,a)),value:s._parse(new Ks(r,r.data[a],r.path,a))});return r.common.async?ri.mergeObjectAsync(n,i):ri.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof ct?new kg({keyType:t,valueType:n,typeName:qe.ZodRecord,...ot(r)}):new kg({keyType:os.create(),valueType:t,typeName:qe.ZodRecord,...ot(n)})}}class k1 extends ct{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ce.map)return Ee(r,{code:me.invalid_type,expected:Ce.map,received:r.parsedType}),Ye;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ks(r,a,r.path,[u,"key"])),value:o._parse(new Ks(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,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return Ye;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return Ye;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}k1.create=(e,t,n)=>new k1({valueType:t,keyType:e,typeName:qe.ZodMap,...ot(n)});class yc extends ct{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ce.set)return Ee(r,{code:me.invalid_type,expected:Ce.set,received:r.parsedType}),Ye;const i=this._def;i.minSize!==null&&r.data.sizei.maxSize.value&&(Ee(r,{code:me.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 d of l){if(d.status==="aborted")return Ye;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ks(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new yc({...this._def,minSize:{value:t,message:ze.toString(n)}})}max(t,n){return new yc({...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)}}yc.create=(e,t)=>new yc({valueType:e,minSize:null,maxSize:null,typeName:qe.ZodSet,...ot(t)});class ff extends ct{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ce.function)return Ee(n,{code:me.invalid_type,expected:Ce.function,received:n.parsedType}),Ye;function r(a,l){return E1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,T1(),Tg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return E1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,T1(),Tg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof Df?_i(async(...a)=>{const l=new us([]),u=await this._def.args.parseAsync(a,o).catch(h=>{throw l.addIssue(r(a,h)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(h=>{throw l.addIssue(i(d,h)),l})}):_i((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new us([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new us([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new ff({...this._def,args:Xs.create(t).rest(ic.create())})}returns(t){return new ff({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new ff({args:t||Xs.create([]).rest(ic.create()),returns:n||ic.create(),typeName:qe.ZodFunction,...ot(r)})}}class Ig extends ct{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})}}Ig.create=(e,t)=>new Ig({getter:e,typeName:qe.ZodLazy,...ot(t)});class Mg extends ct{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Ee(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),Ye}return{status:"valid",value:t.data}}get value(){return this._def.value}}Mg.create=(e,t)=>new Mg({value:e,typeName:qe.ZodLiteral,...ot(t)});function a$(e,t){return new nu({values:e,typeName:qe.ZodEnum,...ot(t)})}class nu extends ct{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Ee(n,{expected:kt.joinValues(r),received:n.parsedType,code:me.invalid_type}),Ye}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Ee(n,{received:n.data,code:me.invalid_enum_value,options:r}),Ye}return _i(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 nu.create(t)}exclude(t){return nu.create(this.options.filter(n=>!t.includes(n)))}}nu.create=a$;class Ng extends ct{_parse(t){const n=kt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==Ce.string&&r.parsedType!==Ce.number){const i=kt.objectValues(n);return Ee(r,{expected:kt.joinValues(i),received:r.parsedType,code:me.invalid_type}),Ye}if(n.indexOf(t.data)===-1){const i=kt.objectValues(n);return Ee(r,{received:r.data,code:me.invalid_enum_value,options:i}),Ye}return _i(t.data)}get enum(){return this._def.values}}Ng.create=(e,t)=>new Ng({values:e,typeName:qe.ZodNativeEnum,...ot(t)});class Df extends ct{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ce.promise&&n.common.async===!1)return Ee(n,{code:me.invalid_type,expected:Ce.promise,received:n.parsedType}),Ye;const r=n.parsedType===Ce.promise?n.data:Promise.resolve(n.data);return _i(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Df.create=(e,t)=>new Df({type:e,typeName:qe.ZodPromise,...ot(t)});class gs extends ct{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===qe.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return 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})}const o={addIssue:s=>{Ee(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),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"?Ye:(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"?Ye:(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(!A1(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=>A1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);kt.assertNever(i)}}gs.create=(e,t,n)=>new gs({schema:e,typeName:qe.ZodEffects,effect:t,...ot(n)});gs.createWithPreprocess=(e,t,n)=>new gs({schema:t,effect:{type:"preprocess",transform:e},typeName:qe.ZodEffects,...ot(n)});class Ma extends ct{_parse(t){return this._getType(t)===Ce.undefined?_i(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ma.create=(e,t)=>new Ma({innerType:e,typeName:qe.ZodOptional,...ot(t)});class vc extends ct{_parse(t){return this._getType(t)===Ce.null?_i(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}vc.create=(e,t)=>new vc({innerType:e,typeName:qe.ZodNullable,...ot(t)});class Lg extends ct{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return 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rO=()=>!0,Dme=e=>({connectionStartHandle:e.connectionStartHandle,connectOnClick:e.connectOnClick,noPanClassName:e.noPanClassName}),$me=(e,t,n)=>r=>{const{connectionStartHandle:i,connectionEndHandle:o,connectionClickStartHandle:s}=r;return{connecting:(i==null?void 0:i.nodeId)===e&&(i==null?void 0:i.handleId)===t&&(i==null?void 0:i.type)===n||(o==null?void 0:o.nodeId)===e&&(o==null?void 0:o.handleId)===t&&(o==null?void 0:o.type)===n,clickConnecting:(s==null?void 0:s.nodeId)===e&&(s==null?void 0:s.handleId)===t&&(s==null?void 0:s.type)===n}},kB=L.forwardRef(({type:e="source",position:t=Ue.Top,isValidConnection:n,isConnectable:r=!0,isConnectableStart:i=!0,isConnectableEnd:o=!0,id:s,onConnect:a,children:l,className:u,onMouseDown:d,onTouchStart:f,...h},g)=>{var k,O;const m=s||null,v=e==="target",x=ii(),_=Ame(),{connectOnClick:b,noPanClassName:y}=Gn(Dme,Bi),{connecting:S,clickConnecting:C}=Gn($me(_,m,e),Bi);_||(O=(k=x.getState()).onError)==null||O.call(k,"010",ou.error010());const 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t=({id:n,className:r,type:i,data:o,onClick:s,onEdgeDoubleClick:a,selected:l,animated:u,label:d,labelStyle:f,labelShowBg:h,labelBgStyle:g,labelBgPadding:m,labelBgBorderRadius:v,style:x,source:_,target:b,sourceX:y,sourceY:S,targetX:C,targetY:T,sourcePosition:E,targetPosition:P,elementsSelectable:k,hidden:O,sourceHandleId:M,targetHandleId:V,onContextMenu:B,onMouseEnter:A,onMouseMove:N,onMouseLeave:D,edgeUpdaterRadius:U,onEdgeUpdate:$,onEdgeUpdateStart:j,onEdgeUpdateEnd:G,markerEnd:q,markerStart:Z,rfId:ee,ariaLabel:ie,isFocusable:se,isUpdatable:le,pathOptions:W,interactionWidth:ne})=>{const fe=L.useRef(null),[pe,ve]=L.useState(!1),[ye,Je]=L.useState(!1),Fe=ii(),Ae=L.useMemo(()=>`url(#${i5(Z,ee)})`,[Z,ee]),vt=L.useMemo(()=>`url(#${i5(q,ee)})`,[q,ee]);if(O)return null;const _e=mn=>{const{edges:Zt,addSelectedEdges:Rr}=Fe.getState();if(k&&(Fe.setState({nodesSelectionActive:!1}),Rr([n])),s){const 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ue.jsxs("g",{className:$o(["react-flow__edge",`react-flow__edge-${i}`,r,{selected:l,animated:u,inactive:gn,updating:pe}]),onClick:_e,onDoubleClick:Qt,onContextMenu:rr,onMouseEnter:qt,onMouseMove:ht,onMouseLeave:At,onKeyDown:se?ir:void 0,tabIndex:se?0:void 0,role:se?"button":void 0,"data-testid":`rf__edge-${n}`,"aria-label":ie===null?void 0:ie||`Edge from ${_} to ${b}`,"aria-describedby":se?`${BB}-${ee}`:void 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0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,d=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(d){const S=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${S}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${S}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const f=this.resolve(t,n);let h=f&&f.res;const g=f&&f.usedKey||s,m=f&&f.exactUsedKey||s,v=Object.prototype.toString.apply(h),x=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,b=!this.i18nFormat||this.i18nFormat.handleAsObject;if(b&&h&&(typeof h!="string"&&typeof h!="boolean"&&typeof h!="number")&&x.indexOf(v)<0&&!(typeof _=="string"&&v==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const S=this.options.returnedObjectHandler?this.options.returnedObjectHandler(g,h,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(f.res=S,f):S}if(o){const S=v==="[object Array]",C=S?[]:{},T=S?m:g;for(const E in h)if(Object.prototype.hasOwnProperty.call(h,E)){const P=`${T}${o}${E}`;C[E]=this.translate(P,{...n,joinArrays:!1,ns:a}),C[E]===P&&(C[E]=h[E])}h=C}}else if(b&&typeof _=="string"&&v==="[object Array]")h=h.join(_),h&&(h=this.extendTranslation(h,t,n,r));else{let S=!1,C=!1;const T=n.count!==void 0&&typeof n.count!="string",E=l_.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(h)&&E&&(S=!0,h=O),this.isValidLookup(h)||(C=!0,h=s);const V=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:h,B=E&&O!==h&&this.options.updateMissing;if(C||S||B){if(this.logger.log(B?"updateKey":"missingKey",u,l,s,B?O:h),o){const U=this.resolve(s,{...n,keySeparator:!1});U&&U.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 A=[];const N=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&N&&N[0])for(let U=0;U{const G=E&&j!==h?j:V;this.options.missingKeyHandler?this.options.missingKeyHandler(U,l,$,G,B,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(U,l,$,G,B,n),this.emit("missingKey",U,l,$,h)};this.options.saveMissing&&(this.options.saveMissingPlurals&&T?A.forEach(U=>{this.pluralResolver.getSuffixes(U,n).forEach($=>{D([U],s+$,n[`defaultValue${$}`]||O)})}):D(A,s,O))}h=this.extendTranslation(h,t,n,f,r),C&&h===s&&this.options.appendNamespaceToMissingKey&&(h=`${l}:${s}`),(C||S)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?h=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,S?h:void 0):h=this.options.parseMissingKeyHandler(h))}return i?(f.res=h,f):h}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let d;if(u){const h=t.match(this.interpolator.nestingRegexp);d=h&&h.length}let f=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,r.lng||this.language,r),u){const h=t.match(this.interpolator.nestingRegexp),g=h&&h.length;d1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),d=u.key;i=d;let f=u.namespaces;this.options.fallbackNS&&(f=f.concat(this.options.fallbackNS));const h=n.count!==void 0&&typeof n.count!="string",g=h&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),m=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",v=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);f.forEach(x=>{this.isValidLookup(r)||(a=x,!LO[`${v[0]}-${x}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(LO[`${v[0]}-${x}`]=!0,this.logger.warn(`key "${i}" for languages "${v.join(", ")}" won't get resolved as namespace "${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!!!")),v.forEach(_=>{if(this.isValidLookup(r))return;s=_;const b=[d];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(b,d,_,x,n);else{let S;h&&(S=this.pluralResolver.getSuffix(_,n.count,n));const C=`${this.options.pluralSeparator}zero`,T=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(h&&(b.push(d+S),n.ordinal&&S.indexOf(T)===0&&b.push(d+S.replace(T,this.options.pluralSeparator)),g&&b.push(d+C)),m){const E=`${d}${this.options.contextSeparator}${n.context}`;b.push(E),h&&(b.push(E+S),n.ordinal&&S.indexOf(T)===0&&b.push(E+S.replace(T,this.options.pluralSeparator)),g&&b.push(E+C))}}let y;for(;y=b.pop();)this.isValidLookup(r)||(o=y,r=this.getResource(_,x,y,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 Vx(e){return e.charAt(0).toUpperCase()+e.slice(1)}class DO{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Bs.create("languageUtils")}getScriptPartFromCode(t){if(t=a_(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=a_(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]=Vx(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]=Vx(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Vx(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 w1e=[{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}],x1e={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 C1e=["v1","v2","v3"],T1e=["v4"],$O={zero:0,one:1,two:2,few:3,many:4,other:5};function E1e(){const e={};return w1e.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:x1e[t.fc]}})}),e}class A1e{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Bs.create("pluralResolver"),(!this.options.compatibilityJSON||T1e.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=E1e()}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(a_(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)=>$O[i]-$O[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!C1e.includes(this.options.compatibilityJSON)}}function FO(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=y1e(e,t,n);return!o&&i&&typeof n=="string"&&(o=s_(e,n,r),o===void 0&&(o=s_(t,n,r))),o}class P1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Bs.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:_1e,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?Sd(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?Sd(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?Sd(n.nestingPrefix):n.nestingPrefixEscaped||Sd("$t("),this.nestingSuffix=n.nestingSuffix?Sd(n.nestingSuffix):n.nestingSuffixEscaped||Sd(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${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(m){return m.replace(/\$/g,"$$$$")}const d=m=>{if(m.indexOf(this.formatSeparator)<0){const b=FO(n,l,m,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(b,void 0,r,{...i,...n,interpolationkey:m}):b}const v=m.split(this.formatSeparator),x=v.shift().trim(),_=v.join(this.formatSeparator).trim();return this.format(FO(n,l,x,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:x})};this.resetRegExp();const f=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,h=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 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h=`{${f[1]}`;l=f[0],h=this.interpolate(h,s);const g=h.match(/'/g),m=h.match(/"/g);(g&&g.length%2===0&&!m||m.length%2!==0)&&(h=h.replace(/'/g,'"'));try{s=JSON.parse(h),u&&(s={...u,...s})}catch(v){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,v),`${l}${d}${h}`}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 d=i[1].split(this.formatSeparator).map(f=>f.trim());i[1]=d.shift(),l=d,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=IO(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((d,f)=>this.format(d,f,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function R1e(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/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 wd(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(a_(i),o),t[s]=a),a(r)}}class O1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Bs.create("formatter"),this.options=t,this.formats={number:wd((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:wd((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:wd((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:wd((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:wd((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()]=wd(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:d}=R1e(l);if(this.formats[u]){let f=a;try{const h=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},g=h.locale||h.lng||i.locale||i.lng||r;f=this.formats[u](a,g,{...d,...i,...h})}catch(h){this.logger.warn(h)}return f}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function k1e(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class I1e extends hS{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=Bs.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let d=!0;n.forEach(f=>{const h=`${u}|${f}`;!r.reload&&this.store.hasResourceBundle(u,f)?this.state[h]=2:this.state[h]<0||(this.state[h]===1?s[h]===void 0&&(s[h]=!0):(this.state[h]=1,d=!1,s[h]===void 0&&(s[h]=!0),o[h]===void 0&&(o[h]=!0),l[f]===void 0&&(l[f]=!0)))}),d||(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=>{m1e(l.loaded,[o],s),k1e(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const d=l.loaded[u];d.length&&d.forEach(f=>{a[u][f]===void 0&&(a[u][f]=!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,d)=>{if(this.readingCalls--,this.waitingReads.length>0){const f=this.waitingReads.shift();this.read(f.lng,f.ns,f.fcName,f.tried,f.wait,f.callback)}if(u&&d&&i{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,d)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(d=>a(null,d)).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 "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let d;u.length===5?d=u(t,n,r,i,l):d=u(t,n,r,i),d&&typeof d.then=="function"?d.then(f=>a(null,f)).catch(a):a(null,d)}catch(d){a(d)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function BO(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function UO(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 V0(){}function M1e(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Kg extends hS{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=UO(t),this.services={},this.logger=Bs,this.modules={external:[]},M1e(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=BO();this.options={...i,...this.options,...UO(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(d){return d?typeof d=="function"?new d:d:null}if(!this.options.isClone){this.modules.logger?Bs.init(o(this.modules.logger),this.options):Bs.init(null,this.options);let d;this.modules.formatter?d=this.modules.formatter:typeof Intl<"u"&&(d=O1e);const f=new DO(this.options);this.store=new NO(this.options.resources,this.options);const h=this.services;h.logger=Bs,h.resourceStore=this.store,h.languageUtils=f,h.pluralResolver=new A1e(f,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),d&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(h.formatter=o(d),h.formatter.init(h,this.options),this.options.interpolation.format=h.formatter.format.bind(h.formatter)),h.interpolator=new P1e(this.options),h.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},h.backendConnector=new I1e(o(this.modules.backend),h.resourceStore,h,this.options),h.backendConnector.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x1?m-1:0),x=1;x{g.init&&g.init(this)})}if(this.format=this.options.interpolation.format,r||(r=V0),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const d=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);d.length>0&&d[0]!=="dev"&&(this.options.lng=d[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(d=>{this[d]=function(){return t.store[d](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(d=>{this[d]=function(){return t.store[d](...arguments),t}});const l=cp(),u=()=>{const d=(f,h)=>{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"&&BU.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-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=cp();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,d=>{s(d,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 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Look at Konva change log for more information.";o.prototype[u]=function(){t.Util.error(d);var f=this.attrs[s];return f===void 0?a:f},e.Factory.addSetter(o,s,l,function(){t.Util.error(d)}),e.Factory.addOverloadedGetterSetter(o,s)},backCompat(o,s){t.Util.each(s,function(a,l){var u=o.prototype[l],d=r+t.Util._capitalize(a),f=i+t.Util._capitalize(a);function h(){u.apply(this,arguments),t.Util.error('"'+a+'" method is deprecated and will be removed soon. Use ""'+l+'" instead.')}o.prototype[a]=h,o.prototype[d]=h,o.prototype[f]=h})},afterSetFilter(){this._filterUpToDate=!1}}})(dt);var ds={},Na={};Object.defineProperty(Na,"__esModule",{value:!0});Na.HitContext=Na.SceneContext=Na.Context=void 0;const pz=kn,zSe=ft;function VSe(e){var t=[],n=e.length,r=pz.Util,i,o;for(i=0;itypeof d=="number"?Math.floor(d):d)),o+=jSe+u.join(ik)+GSe)):(o+=a.property,t||(o+=XSe+a.val)),o+=qSe;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=QSe&&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 d=arguments,f=this._context;d.length===3?f.drawImage(t,n,r):d.length===5?f.drawImage(t,n,r,i,o):d.length===9&&f.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=ok.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=VSe(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;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(h=>h.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var d=a.dragDistance(),f=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(f{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(d=>d.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))})(bS);Object.defineProperty(wn,"__esModule",{value:!0});wn.Node=void 0;const bt=kn,Vm=dt,q0=ds,Du=ft,bo=bS,Hn=De;var Iv="absoluteOpacity",K0="allEventListeners",xa="absoluteTransform",sk="absoluteScale",$u="canvas",o2e="Change",s2e="children",a2e="konva",S5="listening",ak="mouseenter",lk="mouseleave",uk="set",ck="Shape",Mv=" ",dk="stage",_l="transform",l2e="Stage",w5="visible",u2e=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(Mv);let c2e=1;class Ke{constructor(t){this._id=c2e++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===_l||t===xa)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===_l||t===xa,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(Mv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get($u)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===xa&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has($u)){const{scene:t,filter:n,hit:r}=this._cache.get($u);bt.Util.releaseCanvas(t,n,r),this._cache.delete($u)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){bt.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var h=new q0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new q0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new q0.HitCanvas({pixelRatio:f,width:i,height:o}),v=h.getContext(),x=m.getContext();return m.isCache=!0,h.isCache=!0,this._cache.delete($u),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(h.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(Iv),this._clearSelfAndDescendantCache(sk),this.drawScene(h,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set($u,{scene:h,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has($u)}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 d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.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 d=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()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l{var n,r;if(!t)return this;for(n in t)n!==s2e&&(r=uk+bt.Util._capitalize(n),bt.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(S5,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(w5,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;bo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Du.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;s0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==l2e&&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(_l),this._clearSelfAndDescendantCache(xa)),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 bt.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(_l);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(_l),this._clearSelfAndDescendantCache(xa),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;s0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return bt.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 bt.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&bt.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(Iv,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=bt.Util.isObject(i)&&!bt.Util._isPlainObject(i)&&!bt.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(),bt.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{try{const i=t==null?void 0:t.callback;i&&delete t.callback,bt.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():Du.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o=0;if(r&&!this.isDragging()){var i=!1;bo.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=bo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&bo.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 bt.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return bt.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=Ke.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Du.Konva[r]||(bt.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Du.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a0}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;n0?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=Kx.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=Kx.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 d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),h=f.getMatrix();o.transform(h[0],h[1],h[2],h[3],h[4],h[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),h=f.copy().invert().getMatrix(),o.transform(h[0],h[1],h[2],h[3],h[4],h[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&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},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),h=!1,g=0;gle.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&G.pointer;if(W==="touch")return G.touch;if(W==="mouse")return G.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="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 se extends r.Container{constructor(W){super(ee(W)),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",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;fe$&&t.Util.warn("The stage has "+pe+" 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."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&j.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Fe=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Fe&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var Je=this._getTargetShape(fe);this._changedPointerPositions.forEach(Fe=>{const Ae=l.getCapturedShape(Fe.id)||this.getIntersection(Fe),vt=Fe.id,_e={evt:W,pointerId:vt};var Qt=Je!==Ae;if(Qt&&Je&&(Je._fireAndBubble(ne.pointerout,Object.assign({},_e),Ae),Je._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ae)),Ae){if(ve[Ae._id])return;ve[Ae._id]=!0}Ae&&Ae.isListening()?(ye=!0,Qt&&(Ae._fireAndBubble(ne.pointerover,Object.assign({},_e),Je),Ae._fireAndBubble(ne.pointerenter,Object.assign({},_e),Je),this[fe+"targetShape"]=Ae),Ae._fireAndBubble(ne.pointermove,Object.assign({},_e))):Je&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:vt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let Je=!1;this._changedPointerPositions.forEach(Fe=>{const Ae=l.getCapturedShape(Fe.id)||this.getIntersection(Fe);if(Ae){if(Ae.releaseCapture(Fe.id),ye[Ae._id])return;ye[Ae._id]=!0}const vt=Fe.id,_e={evt:W,pointerId:vt};let Qt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(Qt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ae&&Ae.isListening()?(Je=!0,this[fe+"ClickEndShape"]=Ae,Ae._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ae&&(Ae._fireAndBubble(ne.pointerclick,Object.assign({},_e)),Qt&&ve&&ve===Ae&&Ae._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:vt}),Qt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:vt}))}),Je||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(V,{evt:W}):this._fire(V,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(U,{evt:W}):this._fire(U,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.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 W=this.container();if(!W)throw"Stage has no container. A container is required.";W.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"),W.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(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(yz);var jm={},gr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=ft,n=kn,r=dt,i=wn,o=De,s=ft,a=Zi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",h="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(h)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=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(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const V=new n.Transform;V.translate(this.fillPatternX(),this.fillPatternY()),V.rotate(t.Konva.getAngle(this.fillPatternRotation())),V.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),V.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const B=V.getMatrix(),A=typeof DOMMatrix>"u"?{a:B[0],b:B[1],c:B[2],d:B[3],e:B[4],f:B[5]}:new DOMMatrix(B);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),V=this.fillLinearGradientStartPoint(),B=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(V.x,V.y,B.x,B.y),N=0;Nthis.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 O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),V=M.bufferHitCanvas,B;return V.getContext().clear(),this.drawHit(V,null,!0),B=V.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,B[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const B=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(B&&A&&N)return!0;const D=this.hasShadow(),U=this.shadowForStrokeEnabled();return!!(B&&A&&D&&U)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,V=O.relativeTo,B=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=B.width+N,U=B.height+N,$=!O.skipShadow&&this.hasShadow(),j=$?this.shadowOffsetX():0,G=$?this.shadowOffsetY():0,q=D+Math.abs(j),Z=U+Math.abs(G),ee=$&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(j,0)+B.x,y:-(N/2+ee)+Math.min(G,0)+B.y};return M?le:this._transformedRect(le,V)}drawScene(O,M){var V=this.getLayer(),B=O||V.getCanvas(),A=B.getContext(),N=this._getCanvasCache(),D=this.getSceneFunc(),U=this.hasShadow(),$,j,G,q=B.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!D)return this;if(A.save(),this._useBufferCanvas()&&!q){$=this.getStage(),j=$.bufferCanvas,G=j.getContext(),G.clear(),G.save(),G._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();G.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),D.call(this,G,this),G.restore();var se=j.pixelRatio;U&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(j._canvas,0,0,j.width/se,j.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}U&&A._applyShadow(this),D.call(this,A,this)}return A.restore(),this}drawHit(O,M,V=!1){if(!this.shouldDrawHit(M,V))return this;var B=this.getLayer(),A=O||B.hitCanvas,N=A&&A.getContext(),D=this.hitFunc()||this.sceneFunc(),U=this._getCanvasCache(),$=U&&U.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),$){N.save();var j=this.getAbsoluteTransform(M).getMatrix();return N.transform(j[0],j[1],j[2],j[3],j[4],j[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!D)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return D.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),V=this._getCachedSceneCanvas(),B=M.hit,A=B.getContext(),N=B.getWidth(),D=B.getHeight(),U,$,j,G,q,Z;A.clear(),A.drawImage(V._canvas,0,0,N,D);try{for(U=A.getImageData(0,0,N,D),$=U.data,j=$.length,G=n.Util._hexToRgb(this.colorKey),q=0;qO?($[q]=G.r,$[q+1]=G.g,$[q+2]=G.b,$[q+3]=255):$[q+3]=0;A.putImageData(U,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(gr);Object.defineProperty(jm,"__esModule",{value:!0});jm.Layer=void 0;const _a=kn,Xx=Ic,Td=wn,$E=dt,fk=ds,g2e=De,m2e=gr,y2e=ft;var v2e="#",_2e="beforeDraw",b2e="draw",bz=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],S2e=bz.length;class th extends Xx.Container{constructor(t){super(t),this.canvas=new fk.SceneCanvas,this.hitCanvas=new fk.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{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;i0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(_2e,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Xx.Container.prototype.drawScene.call(this,i,n),this._fire(b2e,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Xx.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){_a.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return _a.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 _a.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}jm.Layer=th;th.prototype.nodeType="Layer";(0,y2e._registerNode)(th);$E.Factory.addGetterSetter(th,"imageSmoothingEnabled",!0);$E.Factory.addGetterSetter(th,"clearBeforeDraw",!0);$E.Factory.addGetterSetter(th,"hitGraphEnabled",!0,(0,g2e.getBooleanValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.FastLayer=void 0;const w2e=kn,x2e=jm,C2e=ft;class FE extends x2e.Layer{constructor(t){super(t),this.listening(!1),w2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}wS.FastLayer=FE;FE.prototype.nodeType="FastLayer";(0,C2e._registerNode)(FE);var nh={};Object.defineProperty(nh,"__esModule",{value:!0});nh.Group=void 0;const T2e=kn,E2e=Ic,A2e=ft;class BE extends E2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&T2e.Util.throw("You may only add groups and shapes to groups.")}}nh.Group=BE;BE.prototype.nodeType="Group";(0,A2e._registerNode)(BE);var rh={};Object.defineProperty(rh,"__esModule",{value:!0});rh.Animation=void 0;const Yx=ft,hk=kn;var Qx=function(){return Yx.glob.performance&&Yx.glob.performance.now?function(){return Yx.glob.performance.now()}:function(){return new Date().getTime()}}();class $s{constructor(t,n){this.id=$s.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Qx(),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;ithis.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,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(m){this.pause(),this._time=m,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 m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class h{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||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(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),h.attrs[_]||(h.attrs[_]={}),h.attrs[_][this._id]||(h.attrs[_][this._id]={}),h.tweens[_]||(h.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=h.tweens[_][m],S&&delete h.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=h.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=h.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.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(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=h.tweens[m],_;this.pause();for(_ in x)delete h.tweens[m][_];delete h.attrs[m][v]}}e.Tween=h,h.attrs={},h.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new h(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var _=1.70158;return v*((g=g/x-1)*g*((_+1)*g+_)+1)+m},BackEaseInOut(g,m,v,x){var _=1.70158;return(g/=x/2)<1?v/2*(g*g*(((_*=1.525)+1)*g-_))+m:v/2*((g-=2)*g*(((_*=1.525)+1)*g+_)+2)+m},ElasticEaseIn(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_0?t:n),d=s*n,f=a*(a>0?t:n),h=l*(l>0?n:t);return{x:u,y:r?-1*h:f,width:d-u,height:h-f}}}xS.Arc=Ja;Ja.prototype._centroid=!0;Ja.prototype.className="Arc";Ja.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,R2e._registerNode)(Ja);CS.Factory.addGetterSetter(Ja,"innerRadius",0,(0,TS.getNumberValidator)());CS.Factory.addGetterSetter(Ja,"outerRadius",0,(0,TS.getNumberValidator)());CS.Factory.addGetterSetter(Ja,"angle",0,(0,TS.getNumberValidator)());CS.Factory.addGetterSetter(Ja,"clockwise",!1,(0,TS.getBooleanValidator)());var ES={},Gm={};Object.defineProperty(Gm,"__esModule",{value:!0});Gm.Line=void 0;const AS=dt,O2e=gr,wz=De,k2e=ft;function x5(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),d=s*l/(a+l),f=n-u*(i-e),h=r-u*(o-t),g=n+d*(i-e),m=r+d*(o-t);return[f,h,g,m]}function gk(e,t){var n=e.length,r=[],i,o;for(i=2;i4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u{let u,d,f;u=l/2,d=0;for(let g=0;g<20;g++)f=u*e.tValues[20][g]+u,d+=e.cValues[20][g]*r(s,a,f);return u*d};e.getCubicArcLength=t;const n=(s,a,l)=>{l===void 0&&(l=1);const u=s[0]-2*s[1]+s[2],d=a[0]-2*a[1]+a[2],f=2*s[1]-2*s[0],h=2*a[1]-2*a[0],g=4*(u*u+d*d),m=4*(u*f+d*h),v=f*f+h*h;if(g===0)return l*Math.sqrt(Math.pow(s[2]-s[0],2)+Math.pow(a[2]-a[0],2));const x=m/(2*g),_=v/g,b=l+x,y=_-x*x,S=b*b+y>0?Math.sqrt(b*b+y):0,C=x*x+y>0?Math.sqrt(x*x+y):0,T=x+Math.sqrt(x*x+y)!==0?y*Math.log(Math.abs((b+S)/(x+C))):0;return Math.sqrt(g)/2*(b*S-x*C+T)};e.getQuadraticArcLength=n;function r(s,a,l){const u=i(1,l,s),d=i(1,l,a),f=u*u+d*d;return Math.sqrt(f)}const i=(s,a,l)=>{const u=l.length-1;let d,f;if(u===0)return 0;if(s===0){f=0;for(let h=0;h<=u;h++)f+=e.binomialCoefficients[u][h]*Math.pow(1-a,u-h)*Math.pow(a,h)*l[h];return f}else{d=new Array(u);for(let h=0;h{let u=1,d=s/a,f=(s-l(d))/a,h=0;for(;u>.001;){const g=l(d+f),m=Math.abs(s-g)/a;if(m500)break}return d};e.t2length=o})(xz);Object.defineProperty(ih,"__esModule",{value:!0});ih.Path=void 0;const I2e=dt,M2e=gr,N2e=ft,Ed=xz;class ur extends M2e.Shape{constructor(t){super(t),this.dataArray=[],this.pathLength=0,this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute()})}_readDataAttribute(){this.dataArray=ur.parsePathData(this.data()),this.pathLength=ur.getPathLength(this.dataArray)}_sceneFunc(t){var n=this.dataArray;t.beginPath();for(var r=!1,i=0;id?u:d,x=u>d?1:u/d,_=u>d?d/u:1;t.translate(a,l),t.rotate(g),t.scale(x,_),t.arc(0,0,v,f,f+h,1-m),t.scale(1/x,1/_),t.rotate(-g),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 d=u.points[4],f=u.points[5],h=u.points[4]+f,g=Math.PI/180;if(Math.abs(d-h)h;m-=g){const v=ur.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}else for(let m=d+g;mn[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 ur.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return ur.getPointOnCubicBezier((0,Ed.t2length)(t,ur.getPathLength(n),v=>(0,Ed.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return ur.getPointOnQuadraticBezier((0,Ed.t2length)(t,ur.getPathLength(n),v=>(0,Ed.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],h=a[4],g=a[5],m=a[6];return h+=g*t/s.pathLength,ur.getPointOnEllipticalArc(l,u,d,f,h,m)}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));i0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,V,B,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var D=m.shift(),U=m.shift();if(l+=D,u+=U,b="M",s.length>2&&s[s.length-1].command==="z"){for(var $=s.length-2;$>=0;$--)if(s[$].command==="M"){l=s[$].points[0]+D,u=s[$].points[1]+U;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),V=m.shift(),B=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,V,B,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),V=m.shift(),B=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,V,B,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="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=ur;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,Ed.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,Ed.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],h=i[4]+f,g=Math.PI/180;if(Math.abs(d-h)h;l-=g)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=d+g;l1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(h*h)-l*l*(f*f))/(a*a*(h*h)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*h/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}ih.Path=ur;ur.prototype.className="Path";ur.prototype._attrsAffectingSize=["data"];(0,N2e._registerNode)(ur);I2e.Factory.addGetterSetter(ur,"data");Object.defineProperty(ES,"__esModule",{value:!0});ES.Arrow=void 0;const PS=dt,L2e=Gm,Cz=De,D2e=ft,mk=ih;class Nc extends L2e.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 h=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=mk.Path.calcLength(i[i.length-4],i[i.length-3],"C",h),m=mk.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),h[0],h[1],h[2],h[3],h[4],h[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/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,f/2),t.lineTo(-s,-f/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}}}ES.Arrow=Nc;Nc.prototype.className="Arrow";(0,D2e._registerNode)(Nc);PS.Factory.addGetterSetter(Nc,"pointerLength",10,(0,Cz.getNumberValidator)());PS.Factory.addGetterSetter(Nc,"pointerWidth",10,(0,Cz.getNumberValidator)());PS.Factory.addGetterSetter(Nc,"pointerAtBeginning",!1);PS.Factory.addGetterSetter(Nc,"pointerAtEnding",!0);var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Circle=void 0;const $2e=dt,F2e=gr,B2e=De,U2e=ft;let oh=class extends F2e.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)}};RS.Circle=oh;oh.prototype._centroid=!0;oh.prototype.className="Circle";oh.prototype._attrsAffectingSize=["radius"];(0,U2e._registerNode)(oh);$2e.Factory.addGetterSetter(oh,"radius",0,(0,B2e.getNumberValidator)());var OS={};Object.defineProperty(OS,"__esModule",{value:!0});OS.Ellipse=void 0;const UE=dt,z2e=gr,Tz=De,V2e=ft;class vu extends z2e.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)}}OS.Ellipse=vu;vu.prototype.className="Ellipse";vu.prototype._centroid=!0;vu.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,V2e._registerNode)(vu);UE.Factory.addComponentsGetterSetter(vu,"radius",["x","y"]);UE.Factory.addGetterSetter(vu,"radiusX",0,(0,Tz.getNumberValidator)());UE.Factory.addGetterSetter(vu,"radiusY",0,(0,Tz.getNumberValidator)());var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Image=void 0;const Zx=kn,Lc=dt,j2e=gr,G2e=ft,Hm=De;let ta=class Ez extends j2e.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?Zx.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?Zx.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=Zx.Util.createImageElement();i.onload=function(){var o=new Ez({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};kS.Image=ta;ta.prototype.className="Image";(0,G2e._registerNode)(ta);Lc.Factory.addGetterSetter(ta,"cornerRadius",0,(0,Hm.getNumberOrArrayOfNumbersValidator)(4));Lc.Factory.addGetterSetter(ta,"image");Lc.Factory.addComponentsGetterSetter(ta,"crop",["x","y","width","height"]);Lc.Factory.addGetterSetter(ta,"cropX",0,(0,Hm.getNumberValidator)());Lc.Factory.addGetterSetter(ta,"cropY",0,(0,Hm.getNumberValidator)());Lc.Factory.addGetterSetter(ta,"cropWidth",0,(0,Hm.getNumberValidator)());Lc.Factory.addGetterSetter(ta,"cropHeight",0,(0,Hm.getNumberValidator)());var Vf={};Object.defineProperty(Vf,"__esModule",{value:!0});Vf.Tag=Vf.Label=void 0;const IS=dt,H2e=gr,W2e=nh,zE=De,Az=ft;var Pz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],q2e="Change.konva",K2e="none",C5="up",T5="right",E5="down",A5="left",X2e=Pz.length;class VE extends W2e.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{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)}}NS.RegularPolygon=$c;$c.prototype.className="RegularPolygon";$c.prototype._centroid=!0;$c.prototype._attrsAffectingSize=["radius"];(0,nwe._registerNode)($c);Rz.Factory.addGetterSetter($c,"radius",0,(0,Oz.getNumberValidator)());Rz.Factory.addGetterSetter($c,"sides",0,(0,Oz.getNumberValidator)());var LS={};Object.defineProperty(LS,"__esModule",{value:!0});LS.Ring=void 0;const kz=dt,rwe=gr,Iz=De,iwe=ft;var yk=Math.PI*2;class Fc extends rwe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,yk,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),yk,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)}}LS.Ring=Fc;Fc.prototype.className="Ring";Fc.prototype._centroid=!0;Fc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,iwe._registerNode)(Fc);kz.Factory.addGetterSetter(Fc,"innerRadius",0,(0,Iz.getNumberValidator)());kz.Factory.addGetterSetter(Fc,"outerRadius",0,(0,Iz.getNumberValidator)());var DS={};Object.defineProperty(DS,"__esModule",{value:!0});DS.Sprite=void 0;const Bc=dt,owe=gr,swe=rh,Mz=De,awe=ft;class na extends owe.Shape{constructor(t){super(t),this._updated=!0,this.anim=new swe.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],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var h=s[n],g=r*2;t.drawImage(f,a,l,u,d,h[g+0],h[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_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],d=r*2;t.rect(u[d+0],u[d+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{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Y0;function eC(){return Y0||(Y0=P5.Util.createCanvasElement().getContext(pwe),Y0)}function Twe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function Ewe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function Awe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Wn extends cwe.Shape{constructor(t){super(Awe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n1&&(_+=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=P5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(gwe,n),this}getWidth(){var t=this.attrs.width===Ad||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===Ad||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 P5.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=eC(),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()+X0+this.fontVariant()+X0+(this.fontSize()+_we)+Cwe(this.fontFamily())}_addTextLine(t){this.align()===hp&&(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 eC().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!==Ad&&o!==void 0,l=s!==Ad&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,h=0,g=this.wrap(),m=g!==bk,v=g!==wwe&&m,x=this.ellipsis();this.textArr=[],eC().font=this._getContextFont();for(var _=x?this._getTextWidth(Jx):0,b=0,y=t.length;bd)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T>>1,M=S.slice(0,O+1),V=this._getTextWidth(M)+_;V<=d?(T=O+1,P=M,k=V):E=O}if(P){if(v){var B,A=S[P.length],N=A===X0||A===vk;N&&k<=d?B=P.length:B=Math.max(P.lastIndexOf(X0),P.lastIndexOf(vk))+1,B>0&&(T=B,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),h+=i;var D=this._shouldHandleEllipsis(h);if(D){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),h+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),h+=i,r=Math.max(r,C),this._shouldHandleEllipsis(h)&&bf)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==Ad&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==bk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==Ad&&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+Jx)n?null:pp.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=pp.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=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;ie+`.${Vz}`).join(" "),xk="nodesRect",Lwe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],Dwe={"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 $we="ontouchstart"in Qo.Konva._global;function Fwe(e,t){if(e==="rotater")return"crosshair";t+=Xt.Util.degToRad(Dwe[e]||0);var n=(Xt.Util.radToDeg(t)%360+360)%360;return Xt.Util._inRange(n,315+22.5,360)||Xt.Util._inRange(n,0,22.5)?"ns-resize":Xt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":Xt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":Xt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":Xt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":Xt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":Xt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":Xt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(Xt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var h_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],Ck=1e8;function Bwe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function jz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Uwe(e,t){const n=Bwe(e);return jz(e,t,n)}function zwe(e,t,n){let r=t;for(let i=0;ii.isAncestorOf(this)?(Xt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(Lwe.map(a=>a+`.${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(xk),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(xk,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=(Qo.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={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 jz(d,-Qo.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-Ck,y:-Ck,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],h=u.getAbsoluteTransform();f.forEach(function(g){var m=h.point(g);n.push(m)})});const r=new Xt.Transform;r.rotate(-Qo.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.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:Qo.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(),h_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new Iwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:$we?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=Qo.Konva.getAngle(this.rotation()),o=Fwe(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 kwe.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()*Xt.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 d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let B=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(B-=Math.PI);var h=Qo.Konva.getAngle(this.rotation());const A=h+B,N=Qo.Konva.getAngle(this.rotationSnapTolerance()),U=zwe(this.rotationSnaps(),A,N)-f.rotation,$=Uwe(f,U);this._fitNodesInto($,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{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(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{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()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.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(m){var v=y?{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(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(Xt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(Xt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new Xt.Transform;if(s.rotate(Qo.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:Xt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new Xt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new Xt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var h;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new Xt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(h=f.getLayer())===null||h===void 0||h.batchDraw()}),this.rotation(Xt.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(Xt.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(f=>{f.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()*Xt.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 d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(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=""),wk.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return Sk.Node.prototype.toObject.call(this)}clone(t){var n=Sk.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}BS.Transformer=Mt;function Vwe(e){return e instanceof Array||Xt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){h_.indexOf(t)===-1&&Xt.Util.warn("Unknown anchor name: "+t+". Available names are: "+h_.join(", "))}),e||[]}Mt.prototype.className="Transformer";(0,Mwe._registerNode)(Mt);Wt.Factory.addGetterSetter(Mt,"enabledAnchors",h_,Vwe);Wt.Factory.addGetterSetter(Mt,"flipEnabled",!0,(0,Su.getBooleanValidator)());Wt.Factory.addGetterSetter(Mt,"resizeEnabled",!0);Wt.Factory.addGetterSetter(Mt,"anchorSize",10,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"rotateEnabled",!0);Wt.Factory.addGetterSetter(Mt,"rotationSnaps",[]);Wt.Factory.addGetterSetter(Mt,"rotateAnchorOffset",50,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"rotationSnapTolerance",5,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"borderEnabled",!0);Wt.Factory.addGetterSetter(Mt,"anchorStroke","rgb(0, 161, 255)");Wt.Factory.addGetterSetter(Mt,"anchorStrokeWidth",1,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"anchorFill","white");Wt.Factory.addGetterSetter(Mt,"anchorCornerRadius",0,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"borderStroke","rgb(0, 161, 255)");Wt.Factory.addGetterSetter(Mt,"borderStrokeWidth",1,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"borderDash");Wt.Factory.addGetterSetter(Mt,"keepRatio",!0);Wt.Factory.addGetterSetter(Mt,"shiftBehavior","default");Wt.Factory.addGetterSetter(Mt,"centeredScaling",!1);Wt.Factory.addGetterSetter(Mt,"ignoreStroke",!1);Wt.Factory.addGetterSetter(Mt,"padding",0,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"node");Wt.Factory.addGetterSetter(Mt,"nodes");Wt.Factory.addGetterSetter(Mt,"boundBoxFunc");Wt.Factory.addGetterSetter(Mt,"anchorDragBoundFunc");Wt.Factory.addGetterSetter(Mt,"anchorStyleFunc");Wt.Factory.addGetterSetter(Mt,"shouldOverdrawWholeArea",!1);Wt.Factory.addGetterSetter(Mt,"useSingleNodeRotation",!0);Wt.Factory.backCompat(Mt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var US={};Object.defineProperty(US,"__esModule",{value:!0});US.Wedge=void 0;const zS=dt,jwe=gr,Gwe=ft,Gz=De,Hwe=ft;class el extends jwe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Gwe.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=el;el.prototype.className="Wedge";el.prototype._centroid=!0;el.prototype._attrsAffectingSize=["radius"];(0,Hwe._registerNode)(el);zS.Factory.addGetterSetter(el,"radius",0,(0,Gz.getNumberValidator)());zS.Factory.addGetterSetter(el,"angle",0,(0,Gz.getNumberValidator)());zS.Factory.addGetterSetter(el,"clockwise",!1);zS.Factory.backCompat(el,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var VS={};Object.defineProperty(VS,"__esModule",{value:!0});VS.Blur=void 0;const Tk=dt,Wwe=wn,qwe=De;function Ek(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Kwe=[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],Xwe=[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 Ywe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,h,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,V,B=t+t+1,A=r-1,N=i-1,D=t+1,U=D*(D+1)/2,$=new Ek,j=null,G=$,q=null,Z=null,ee=Kwe[t],ie=Xwe[t];for(a=1;a>ie,M!==0?(M=255/M,n[d]=(h*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,h-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)>ie,M>0?(M=255/M,n[l]=(h*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,h-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+D)0&&Ywe(t,n)};VS.Blur=Qwe;Tk.Factory.addGetterSetter(Wwe.Node,"blurRadius",0,(0,qwe.getNumberValidator)(),Tk.Factory.afterSetFilter);var jS={};Object.defineProperty(jS,"__esModule",{value:!0});jS.Brighten=void 0;const Ak=dt,Zwe=wn,Jwe=De,exe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i255?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};GS.Contrast=rxe;Pk.Factory.addGetterSetter(txe.Node,"contrast",0,(0,nxe.getNumberValidator)(),Pk.Factory.afterSetFilter);var HS={};Object.defineProperty(HS,"__esModule",{value:!0});HS.Emboss=void 0;const su=dt,WS=wn,ixe=kn,Hz=De,oxe=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,d=l*4,f=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:ixe.Util.error("Unknown emboss direction: "+r)}do{var h=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=h+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,V=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=V>255?255:V<0?0:V}else{var B=n-T;B<0?B=0:B>255&&(B=255),a[x]=a[x+1]=a[x+2]=B}}while(--v)}while(--f)};HS.Emboss=oxe;su.Factory.addGetterSetter(WS.Node,"embossStrength",.5,(0,Hz.getNumberValidator)(),su.Factory.afterSetFilter);su.Factory.addGetterSetter(WS.Node,"embossWhiteLevel",.5,(0,Hz.getNumberValidator)(),su.Factory.afterSetFilter);su.Factory.addGetterSetter(WS.Node,"embossDirection","top-left",null,su.Factory.afterSetFilter);su.Factory.addGetterSetter(WS.Node,"embossBlend",!1,null,su.Factory.afterSetFilter);var qS={};Object.defineProperty(qS,"__esModule",{value:!0});qS.Enhance=void 0;const Rk=dt,sxe=wn,axe=De;function rC(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 lxe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,h,g=this.enhance();if(g!==0){for(h=0;hi&&(i=o),l=t[h+1],la&&(a=l),f=t[h+2],fd&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),h=0;h_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;Cy?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;dt&&(S=y,C=0,T=-1),i=0;i=0&&g=0&&m=0&&g=0&&m=255*4?255:0}return s}function xxe(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=0&&g=0&&m=n))for(o=v;o=r||(s=(n*o+i)*4,a+=S[s+0],l+=S[s+1],u+=S[s+2],d+=S[s+3],y+=1);for(a=a/y,l=l/y,u=u/y,d=d/y,i=g;i=n))for(o=v;o=r||(s=(n*o+i)*4,S[s+0]=a,S[s+1]=l,S[s+2]=u,S[s+3]=d)}};t2.Pixelate=kxe;Mk.Factory.addGetterSetter(Rxe.Node,"pixelSize",8,(0,Oxe.getNumberValidator)(),Mk.Factory.afterSetFilter);var n2={};Object.defineProperty(n2,"__esModule",{value:!0});n2.Posterize=void 0;const Nk=dt,Ixe=wn,Mxe=De,Nxe=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o255?255:e<0?0:Math.round(e)});g_.Factory.addGetterSetter(XE.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});g_.Factory.addGetterSetter(XE.Node,"blue",0,Lxe.RGBComponent,g_.Factory.afterSetFilter);var i2={};Object.defineProperty(i2,"__esModule",{value:!0});i2.RGBA=void 0;const Qg=dt,o2=wn,$xe=De,Fxe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a255?255:e<0?0:Math.round(e)});Qg.Factory.addGetterSetter(o2.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Qg.Factory.addGetterSetter(o2.Node,"blue",0,$xe.RGBComponent,Qg.Factory.afterSetFilter);Qg.Factory.addGetterSetter(o2.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var s2={};Object.defineProperty(s2,"__esModule",{value:!0});s2.Sepia=void 0;const Bxe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r127&&(u=255-u),d>127&&(d=255-d),f>127&&(f=255-f),t[l]=u,t[l+1]=d,t[l+2]=f}while(--a)}while(--o)};a2.Solarize=Uxe;var l2={};Object.defineProperty(l2,"__esModule",{value:!0});l2.Threshold=void 0;const Lk=dt,zxe=wn,Vxe=De,jxe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i{const{width:r,height:i}=t,o=document.createElement("div"),s=new mp.Stage({container:o,width:r,height:i}),a=new mp.Layer,l=new mp.Layer;return a.add(new mp.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new mp.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},RCe=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}),Fk=async(e,t)=>{const n=e.toDataURL(t);return await RCe(n,t.width,t.height)},OCe=async(e,t,n,r,i)=>{const o=ke("canvas"),s=gS(),a=G_e();if(!s||!a){o.error("Unable to find canvas / 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a={id:j0,type:"collect",is_intermediate:!0};t.nodes[j0]=a,t.edges.push({source:{node_id:j0,field:"collection"},destination:{node_id:n,field:"control"}}),o.forEach(l=>{const{controlNetId:u,controlImage:d,processedControlImage:f,beginStepPct:h,endStepPct:g,controlMode:m,resizeMode:v,model:x,processorType:_,weight:b}=l,y={id:`control_net_${u}`,type:"controlnet",is_intermediate:!0,begin_step_percent:h,end_step_percent:g,control_mode:m,resize_mode:v,control_model:x,control_weight:b};if(f&&_!=="none")y.image={image_name:f};else if(d)y.image={image_name:d};else return;if(t.nodes[y.id]=y,s){const S=mb(y,["id","type"]);s.controlnets.push(S)}t.edges.push({source:{node_id:y.id,field:"control"},destination:{node_id:j0,field:"item"}})})}},wu=(e,t)=>{const{positivePrompt:n,iterations:r,seed:i,shouldRandomizeSeed:o}=e.generation,{combinatorial:s,isEnabled:a,maxPrompts:l}=e.dynamicPrompts,u=t.nodes[yt];if(a){xle(t.nodes[$e],"prompt");const d={id:qx,type:"dynamic_prompt",is_intermediate:!0,max_prompts:s?l:r,combinatorial:s,prompt:n},f={id:sn,type:"iterate",is_intermediate:!0};if(t.nodes[qx]=d,t.nodes[sn]=f,t.edges.push({source:{node_id:qx,field:"prompt_collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:$e,field:"prompt"}}),u&&t.edges.push({source:{node_id:sn,field:"item"},destination:{node_id:yt,field:"positive_prompt"}}),o){const h={id:dr,type:"rand_int",is_intermediate:!0};t.nodes[dr]=h,t.edges.push({source:{node_id:dr,field:"a"},destination:{node_id:Se,field:"seed"}}),u&&t.edges.push({source:{node_id:dr,field:"a"},destination:{node_id:yt,field:"seed"}})}else t.nodes[Se].seed=i,u&&(u.seed=i)}else{u&&(u.positive_prompt=n);const d={id:bn,type:"range_of_size",is_intermediate:!0,size:r,step:1},f={id:sn,type:"iterate",is_intermediate:!0};if(t.nodes[sn]=f,t.nodes[bn]=d,t.edges.push({source:{node_id:bn,field:"collection"},destination:{node_id:sn,field:"collection"}}),t.edges.push({source:{node_id:sn,field:"item"},destination:{node_id:Se,field:"seed"}}),u&&t.edges.push({source:{node_id:sn,field:"item"},destination:{node_id:yt,field:"seed"}}),o){const h={id:dr,type:"rand_int",is_intermediate:!0};t.nodes[dr]=h,t.edges.push({source:{node_id:dr,field:"a"},destination:{node_id:bn,field:"start"}})}else d.start=i}},sh=(e,t,n,r=an)=>{const{loras:i}=e.lora,o=DT(i),s=t.nodes[yt];o>0&&(t.edges=t.edges.filter(u=>!(u.source.node_id===r&&["unet"].includes(u.source.field))),t.edges=t.edges.filter(u=>!(u.source.node_id===It&&["clip"].includes(u.source.field))));let a="",l=0;gc(i,u=>{const{model_name:d,base_model:f,weight:h}=u,g=`${az}_${d.replace(".","_")}`,m={type:"lora_loader",id:g,is_intermediate:!0,lora:{model_name:d,base_model:f},weight:h};s&&s.loras.push({lora:{model_name:d,base_model:f},weight:h}),t.nodes[g]=m,l===0?(t.edges.push({source:{node_id:r,field:"unet"},destination:{node_id:g,field:"unet"}}),t.edges.push({source:{node_id:It,field:"clip"},destination:{node_id:g,field:"clip"}})):(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:g,field:"unet"}}),t.edges.push({source:{node_id:a,field:"clip"},destination:{node_id:g,field:"clip"}})),l===o-1&&(t.edges.push({source:{node_id:g,field:"unet"},destination:{node_id:n,field:"unet"}}),t.edges.push({source:{node_id:g,field:"clip"},destination:{node_id:$e,field:"clip"}}),t.edges.push({source:{node_id:g,field:"clip"},destination:{node_id:Be,field:"clip"}})),a=g,l+=1})},Kz=mi(e=>e.ui,e=>y$[e.activeTab],{memoizeOptions:{equalityCheck:gb}}),PMe=mi(e=>e.ui,e=>e.activeTab,{memoizeOptions:{equalityCheck:gb}}),RMe=mi(e=>e.ui,e=>e,{memoizeOptions:{equalityCheck:gb}}),Bo=(e,t,n=it)=>{const 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s=n==mS;(t.id===lz||t.id===v5||t.id===fz||t.id===b5)&&t.edges.push({source:{node_id:i?n:Lu,field:i&&s?"vae_decoder":"vae"},destination:{node_id:it,field:"vae"}}),(t.id===uz||t.id===_5||t.id===IE||t.id==d_)&&t.edges.push({source:{node_id:i?n:Lu,field:i&&s?"vae_decoder":"vae"},destination:{node_id:Ie,field:"vae"}}),(t.id===v5||t.id===b5||t.id===_5||t.id===d_)&&t.edges.push({source:{node_id:i?n:Lu,field:i&&s?"vae_decoder":"vae"},destination:{node_id:Vt,field:"vae"}}),(t.id===cz||t.id===dz||t.id===ME||t.id===NE)&&t.edges.push({source:{node_id:i?n:Lu,field:i&&s?"vae_decoder":"vae"},destination:{node_id:hn,field:"vae"}},{source:{node_id:i?n:Lu,field:i&&s?"vae_decoder":"vae"},destination:{node_id:it,field:"vae"}}),r&&o&&(o.vae=r)},zo=(e,t,n=it)=>{const i=Kz(e)==="unifiedCanvas"?!e.canvas.shouldAutoSave:!1,o=t.nodes[n],s=t.nodes[Kd],a=t.nodes[yt];if(!o)return;const l={id:dp,type:"img_watermark",is_intermediate:i};t.nodes[dp]=l,o.is_intermediate=!0,s?(s.is_intermediate=!0,t.edges.push({source:{node_id:Kd,field:"image"},destination:{node_id:dp,field:"image"}})):t.edges.push({source:{node_id:n,field:"image"},destination:{node_id:dp,field:"image"}}),a&&t.edges.push({source:{node_id:yt,field:"metadata"},destination:{node_id:dp,field:"metadata"}})},LCe=(e,t)=>{const n=ke("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,img2imgStrength:u,clipSkip:d,shouldUseCpuNoise:f,shouldUseNoiseSettings:h}=e.generation,{width:g,height:m}=e.canvas.boundingBoxDimensions,{shouldAutoSave:v}=e.canvas;if(!o)throw n.error("No model found in state"),new Error("No model found in state");const x=h?f:ys.shouldUseCpuNoise,_={id:_5,nodes:{[an]:{type:"main_model_loader",id:an,is_intermediate:!0,model:o},[It]:{type:"clip_skip",id:It,is_intermediate:!0,skipped_layers:d},[$e]:{type:"compel",id:$e,is_intermediate:!0,prompt:r},[Be]:{type:"compel",id:Be,is_intermediate:!0,prompt:i},[Se]:{type:"noise",id:Se,is_intermediate:!0,use_cpu:x},[Vt]:{type:"i2l",id:Vt,is_intermediate:!0},[Le]:{type:"denoise_latents",id:Le,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:1-u,denoising_end:1},[Ie]:{type:"l2i",id:Ie,is_intermediate:!v}},edges:[{source:{node_id:an,field:"unet"},destination:{node_id:Le,field:"unet"}},{source:{node_id:an,field:"clip"},destination:{node_id:It,field:"clip"}},{source:{node_id:It,field:"clip"},destination:{node_id:$e,field:"clip"}},{source:{node_id:It,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:$e,field:"conditioning"},destination:{node_id:Le,field:"positive_conditioning"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Le,field:"negative_conditioning"}},{source:{node_id:Se,field:"noise"},destination:{node_id:Le,field:"noise"}},{source:{node_id:Vt,field:"latents"},destination:{node_id:Le,field:"latents"}},{source:{node_id:Le,field:"latents"},destination:{node_id:Ie,field:"latents"}}]};if(t.width!==g||t.height!==m){const b={id:Jn,type:"img_resize",image:{image_name:t.image_name},is_intermediate:!0,width:g,height:m};_.nodes[Jn]=b,_.edges.push({source:{node_id:Jn,field:"image"},destination:{node_id:Vt,field:"image"}}),_.edges.push({source:{node_id:Jn,field:"width"},destination:{node_id:Se,field:"width"}}),_.edges.push({source:{node_id:Jn,field:"height"},destination:{node_id:Se,field:"height"}})}else _.nodes[Vt].image={image_name:t.image_name},_.edges.push({source:{node_id:Vt,field:"width"},destination:{node_id:Se,field:"width"}}),_.edges.push({source:{node_id:Vt,field:"height"},destination:{node_id:Se,field:"height"}});return _.nodes[yt]={id:yt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,height:m,width:g,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:x?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:d,strength:u,init_image:t.image_name},_.edges.push({source:{node_id:yt,field:"metadata"},destination:{node_id:Ie,field:"metadata"}}),sh(e,_,Le),Uo(e,_,an),wu(e,_),Fo(e,_,Le),e.system.shouldUseNSFWChecker&&Bo(e,_,Ie),e.system.shouldUseWatermarker&&zo(e,_,Ie),_},DCe=(e,t,n)=>{const r=ke("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:d,iterations:f,seed:h,shouldRandomizeSeed:g,vaePrecision:m,shouldUseNoiseSettings:v,shouldUseCpuNoise:x,maskBlur:_,maskBlurMethod:b,clipSkip:y}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in 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M=T.width,V=T.height;O.nodes[ko]={type:"img_resize",id:ko,is_intermediate:!0,width:M,height:V,image:t},O.nodes[Ni]={type:"img_resize",id:Ni,is_intermediate:!0,width:M,height:V,image:n},O.nodes[ti]={type:"img_resize",id:ti,is_intermediate:!0,width:S,height:C},O.nodes[er]={type:"img_resize",id:er,is_intermediate:!0,width:S,height:C},O.nodes[Se]={...O.nodes[Se],width:M,height:V},O.edges.push({source:{node_id:ko,field:"image"},destination:{node_id:hn,field:"image"}},{source:{node_id:Ni,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:it,field:"image"},destination:{node_id:ti,field:"image"}},{source:{node_id:ti,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:er,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:Ie,field:"mask"}})}else O.nodes[Se]={...O.nodes[Se],width:S,height:C},O.nodes[hn]={...O.nodes[hn],image:t},O.nodes[ut]={...O.nodes[ut],image:n},O.edges.push({source:{node_id:it,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ie,field:"mask"}});if(g){const M={id:dr,type:"rand_int"};O.nodes[dr]=M,O.edges.push({source:{node_id:dr,field:"a"},destination:{node_id:bn,field:"start"}})}else O.nodes[bn].start=h;return Uo(e,O,an),sh(e,O,Le,an),Fo(e,O,Le),e.system.shouldUseNSFWChecker&&Bo(e,O,Ie),e.system.shouldUseWatermarker&&zo(e,O,Ie),O},$Ce=(e,t,n)=>{const r=ke("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:d,iterations:f,seed:h,shouldRandomizeSeed:g,vaePrecision:m,shouldUseNoiseSettings:v,shouldUseCpuNoise:x,maskBlur:_,maskBlurMethod:b,tileSize:y,infillMethod:S,clipSkip:C}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in 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B=P.width,A=P.height;V.nodes[ko]={type:"img_resize",id:ko,is_intermediate:!0,width:B,height:A,image:t},V.nodes[Ni]={type:"img_resize",id:Ni,is_intermediate:!0,width:B,height:A},V.nodes[ti]={type:"img_resize",id:ti,is_intermediate:!0,width:T,height:E},V.nodes[Ls]={type:"img_resize",id:Ls,is_intermediate:!0,width:T,height:E},V.nodes[er]={type:"img_resize",id:er,is_intermediate:!0,width:T,height:E},V.nodes[Se]={...V.nodes[Se],width:B,height:A},V.edges.push({source:{node_id:ko,field:"image"},destination:{node_id:Nn,field:"image"}},{source:{node_id:Ds,field:"image"},destination:{node_id:Ni,field:"image"}},{source:{node_id:Ni,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:it,field:"image"},destination:{node_id:ti,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:er,field:"image"}},{source:{node_id:Nn,field:"image"},destination:{node_id:Ls,field:"image"}},{source:{node_id:Ls,field:"image"},destination:{node_id:wt,field:"reference"}},{source:{node_id:ti,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:Ls,field:"image"},destination:{node_id:Ie,field:"base_image"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:Ie,field:"mask"}})}else V.nodes[Nn]={...V.nodes[Nn],image:t},V.nodes[Se]={...V.nodes[Se],width:T,height:E},V.nodes[hn]={...V.nodes[hn],image:t},V.nodes[ut]={...V.nodes[ut],image:n},V.edges.push({source:{node_id:Ds,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:Nn,field:"image"},destination:{node_id:wt,field:"reference"}},{source:{node_id:it,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:Nn,field:"image"},destination:{node_id:Ie,field:"base_image"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ie,field:"mask"}});if(g){const B={id:dr,type:"rand_int"};V.nodes[dr]=B,V.edges.push({source:{node_id:dr,field:"a"},destination:{node_id:bn,field:"start"}})}else V.nodes[bn].start=h;return Uo(e,V,an),sh(e,V,Le,an),Fo(e,V,Le),e.system.shouldUseNSFWChecker&&Bo(e,V,Ie),e.system.shouldUseWatermarker&&zo(e,V,Ie),V},ah=(e,t,n,r=We)=>{const{loras:i}=e.lora,o=DT(i),s=t.nodes[yt];o>0&&(t.edges=t.edges.filter(u=>!(u.source.node_id===r&&["unet"].includes(u.source.field))&&!(u.source.node_id===r&&["clip"].includes(u.source.field))&&!(u.source.node_id===r&&["clip2"].includes(u.source.field))));let a="",l=0;gc(i,u=>{const{model_name:d,base_model:f,weight:h}=u,g=`${az}_${d.replace(".","_")}`,m={type:"sdxl_lora_loader",id:g,is_intermediate:!0,lora:{model_name:d,base_model:f},weight:h};s&&s.loras.push({lora:{model_name:d,base_model:f},weight:h}),t.nodes[g]=m,l===0?(t.edges.push({source:{node_id:r,field:"unet"},destination:{node_id:g,field:"unet"}}),t.edges.push({source:{node_id:r,field:"clip"},destination:{node_id:g,field:"clip"}}),t.edges.push({source:{node_id:r,field:"clip2"},destination:{node_id:g,field:"clip2"}})):(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:g,field:"unet"}}),t.edges.push({source:{node_id:a,field:"clip"},destination:{node_id:g,field:"clip"}}),t.edges.push({source:{node_id:a,field:"clip2"},destination:{node_id:g,field:"clip2"}})),l===o-1&&(t.edges.push({source:{node_id:g,field:"unet"},destination:{node_id:n,field:"unet"}}),t.edges.push({source:{node_id:g,field:"clip"},destination:{node_id:$e,field:"clip"}}),t.edges.push({source:{node_id:g,field:"clip"},destination:{node_id:Be,field:"clip"}}),t.edges.push({source:{node_id:g,field:"clip2"},destination:{node_id:$e,field:"clip2"}}),t.edges.push({source:{node_id:g,field:"clip2"},destination:{node_id:Be,field:"clip2"}})),a=g,l+=1})},Uc=(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}},lh=(e,t,n)=>{const{refinerModel:r,refinerPositiveAestheticScore:i,refinerNegativeAestheticScore:o,refinerSteps:s,refinerScheduler:a,refinerCFGScale:l,refinerStart:u}=e.sdxl;if(!r)return;const d=t.nodes[yt];d&&(d.refiner_model=r,d.refiner_positive_aesthetic_score=i,d.refiner_negative_aesthetic_score=o,d.refiner_cfg_scale=l,d.refiner_scheduler=a,d.refiner_start=u,d.refiner_steps=s);const{craftedPositiveStylePrompt:f,craftedNegativeStylePrompt:h}=Uc(e,!0);t.edges=t.edges.filter(g=>!(g.source.node_id===n&&["latents"].includes(g.source.field))),t.edges=t.edges.filter(g=>!(g.source.node_id===We&&["vae"].includes(g.source.field))),t.nodes[fp]={type:"sdxl_refiner_model_loader",id:fp,model:r},t.nodes[G0]={type:"sdxl_refiner_compel_prompt",id:G0,style:f,aesthetic_score:i},t.nodes[H0]={type:"sdxl_refiner_compel_prompt",id:H0,style:h,aesthetic_score:o},t.nodes[va]={type:"denoise_latents",id:va,cfg_scale:l,steps:s,scheduler:a,denoising_start:u,denoising_end:1},t.edges.push({source:{node_id:fp,field:"unet"},destination:{node_id:va,field:"unet"}},{source:{node_id:fp,field:"clip2"},destination:{node_id:G0,field:"clip2"}},{source:{node_id:fp,field:"clip2"},destination:{node_id:H0,field:"clip2"}},{source:{node_id:G0,field:"conditioning"},destination:{node_id:va,field:"positive_conditioning"}},{source:{node_id:H0,field:"conditioning"},destination:{node_id:va,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:va,field:"latents"}}),t.id===IE||t.id===d_?t.edges.push({source:{node_id:va,field:"latents"},destination:{node_id:Ie,field:"latents"}}):t.edges.push({source:{node_id:va,field:"latents"},destination:{node_id:it,field:"latents"}}),(t.id===ME||t.id===NE)&&t.edges.push({source:{node_id:ut,field:"image"},destination:{node_id:va,field:"mask"}})},FCe=(e,t)=>{const n=ke("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:d,shouldUseCpuNoise:f,shouldUseNoiseSettings:h}=e.generation,{shouldUseSDXLRefiner:g,refinerStart:m,sdxlImg2ImgDenoisingStrength:v,shouldConcatSDXLStylePrompt:x}=e.sdxl,{width:_,height:b}=e.canvas.boundingBoxDimensions,{shouldAutoSave:y}=e.canvas;if(!o)throw n.error("No model found in state"),new Error("No model found in state");const S=h?f:ys.shouldUseCpuNoise,{craftedPositiveStylePrompt:C,craftedNegativeStylePrompt:T}=Uc(e,x),E={id:d_,nodes:{[We]:{type:"sdxl_model_loader",id:We,model:o},[$e]:{type:"sdxl_compel_prompt",id:$e,prompt:r,style:C},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:T},[Se]:{type:"noise",id:Se,is_intermediate:!0,use_cpu:S},[Vt]:{type:"i2l",id:Vt,is_intermediate:!0,fp32:u==="fp32"},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:g?Math.min(m,1-v):1-v,denoising_end:g?m:1},[Ie]:{type:"l2i",id:Ie,is_intermediate:!y,fp32:u==="fp32"}},edges:[{source:{node_id:We,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:We,field:"clip"},destination:{node_id:$e,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:$e,field:"clip2"}},{source:{node_id:We,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:$e,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:Se,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Vt,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:Re,field:"latents"},destination:{node_id:Ie,field:"latents"}}]};if(t.width!==_||t.height!==b){const P={id:Jn,type:"img_resize",image:{image_name:t.image_name},is_intermediate:!0,width:_,height:b};E.nodes[Jn]=P,E.edges.push({source:{node_id:Jn,field:"image"},destination:{node_id:Vt,field:"image"}}),E.edges.push({source:{node_id:Jn,field:"width"},destination:{node_id:Se,field:"width"}}),E.edges.push({source:{node_id:Jn,field:"height"},destination:{node_id:Se,field:"height"}})}else E.nodes[Vt].image={image_name:t.image_name},E.edges.push({source:{node_id:Vt,field:"width"},destination:{node_id:Se,field:"width"}}),E.edges.push({source:{node_id:Vt,field:"height"},destination:{node_id:Se,field:"height"}});return E.nodes[yt]={id:yt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,height:b,width:_,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:S?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:d,strength:v,init_image:t.image_name},E.edges.push({source:{node_id:yt,field:"metadata"},destination:{node_id:Ie,field:"metadata"}}),ah(e,E,Re,We),g&&lh(e,E,Re),Uo(e,E,We),wu(e,E),Fo(e,E,Re),e.system.shouldUseNSFWChecker&&Bo(e,E,Ie),e.system.shouldUseWatermarker&&zo(e,E,Ie),E},BCe=(e,t,n)=>{const r=ke("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:g,shouldUseNoiseSettings:m,shouldUseCpuNoise:v,maskBlur:x,maskBlurMethod:_}=e.generation,{sdxlImg2ImgDenoisingStrength:b,shouldUseSDXLRefiner:y,refinerStart:S,shouldConcatSDXLStylePrompt:C}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:T,height:E}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:P,boundingBoxScaleMethod:k,shouldAutoSave:O}=e.canvas,M=v,{craftedPositiveStylePrompt:V,craftedNegativeStylePrompt:B}=Uc(e,C),A={id:ME,nodes:{[We]:{type:"sdxl_model_loader",id:We,model:s},[$e]:{type:"sdxl_compel_prompt",id:$e,prompt:i,style:V},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:o,style:B},[ut]:{type:"img_blur",id:ut,is_intermediate:!0,radius:x,blur_type:_},[hn]:{type:"i2l",id:hn,is_intermediate:!0,fp32:g==="fp32"},[Se]:{type:"noise",id:Se,use_cpu:M,is_intermediate:!0},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:y?Math.min(S,1-b):1-b,denoising_end:y?S:1},[it]:{type:"l2i",id:it,is_intermediate:!0,fp32:g==="fp32"},[wt]:{type:"color_correct",id:wt,is_intermediate:!0,reference:t},[Ie]:{type:"img_paste",id:Ie,is_intermediate:!O,base_image:t},[bn]:{type:"range_of_size",id:bn,is_intermediate:!0,size:d,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:We,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:We,field:"clip"},destination:{node_id:$e,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:$e,field:"clip2"}},{source:{node_id:We,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:$e,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:Se,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:hn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:ut,field:"image"},destination:{node_id:Re,field:"mask"}},{source:{node_id:bn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Se,field:"seed"}},{source:{node_id:Re,field:"latents"},destination:{node_id:it,field:"latents"}}]};if(["auto","manual"].includes(k)){const N=P.width,D=P.height;A.nodes[ko]={type:"img_resize",id:ko,is_intermediate:!0,width:N,height:D,image:t},A.nodes[Ni]={type:"img_resize",id:Ni,is_intermediate:!0,width:N,height:D,image:n},A.nodes[ti]={type:"img_resize",id:ti,is_intermediate:!0,width:T,height:E},A.nodes[er]={type:"img_resize",id:er,is_intermediate:!0,width:T,height:E},A.nodes[Se]={...A.nodes[Se],width:N,height:D},A.edges.push({source:{node_id:ko,field:"image"},destination:{node_id:hn,field:"image"}},{source:{node_id:Ni,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:it,field:"image"},destination:{node_id:ti,field:"image"}},{source:{node_id:ti,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:er,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:Ie,field:"mask"}})}else A.nodes[Se]={...A.nodes[Se],width:T,height:E},A.nodes[hn]={...A.nodes[hn],image:t},A.nodes[ut]={...A.nodes[ut],image:n},A.edges.push({source:{node_id:it,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ie,field:"mask"}});if(h){const N={id:dr,type:"rand_int"};A.nodes[dr]=N,A.edges.push({source:{node_id:dr,field:"a"},destination:{node_id:bn,field:"start"}})}else A.nodes[bn].start=f;return y&&lh(e,A,Re),Uo(e,A,We),ah(e,A,Re,We),Fo(e,A,Re),e.system.shouldUseNSFWChecker&&Bo(e,A,Ie),e.system.shouldUseWatermarker&&zo(e,A,Ie),A},UCe=(e,t,n)=>{const r=ke("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:g,shouldUseNoiseSettings:m,shouldUseCpuNoise:v,maskBlur:x,maskBlurMethod:_,tileSize:b,infillMethod:y}=e.generation,{sdxlImg2ImgDenoisingStrength:S,shouldUseSDXLRefiner:C,refinerStart:T,shouldConcatSDXLStylePrompt:E}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:P,height:k}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:O,boundingBoxScaleMethod:M,shouldAutoSave:V}=e.canvas,B=v,{craftedPositiveStylePrompt:A,craftedNegativeStylePrompt:N}=Uc(e,E),D={id:NE,nodes:{[We]:{type:"sdxl_model_loader",id:We,model:s},[$e]:{type:"sdxl_compel_prompt",id:$e,prompt:i,style:A},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:o,style:N},[_f]:{type:"tomask",id:_f,is_intermediate:!0,image:t},[Ds]:{type:"mask_combine",id:Ds,is_intermediate:!0,mask2:n},[ut]:{type:"img_blur",id:ut,is_intermediate:!0,radius:x,blur_type:_},[Nn]:{type:"infill_tile",id:Nn,is_intermediate:!0,tile_size:b},[hn]:{type:"i2l",id:hn,is_intermediate:!0,fp32:g==="fp32"},[Se]:{type:"noise",id:Se,use_cpu:B,is_intermediate:!0},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:C?Math.min(T,1-S):1-S,denoising_end:C?T:1},[it]:{type:"l2i",id:it,is_intermediate:!0,fp32:g==="fp32"},[wt]:{type:"color_correct",id:wt,is_intermediate:!0},[Ie]:{type:"img_paste",id:Ie,is_intermediate:!V},[bn]:{type:"range_of_size",id:bn,is_intermediate:!0,size:d,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:We,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:We,field:"clip"},destination:{node_id:$e,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:$e,field:"clip2"}},{source:{node_id:We,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:Nn,field:"image"},destination:{node_id:hn,field:"image"}},{source:{node_id:_f,field:"mask"},destination:{node_id:Ds,field:"mask1"}},{source:{node_id:$e,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:Se,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:hn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:ut,field:"image"},destination:{node_id:Re,field:"mask"}},{source:{node_id:bn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Se,field:"seed"}},{source:{node_id:Re,field:"latents"},destination:{node_id:it,field:"latents"}}]};if(y==="patchmatch"&&(D.nodes[Nn]={type:"infill_patchmatch",id:Nn,is_intermediate:!0}),["auto","manual"].includes(M)){const U=O.width,$=O.height;D.nodes[ko]={type:"img_resize",id:ko,is_intermediate:!0,width:U,height:$,image:t},D.nodes[Ni]={type:"img_resize",id:Ni,is_intermediate:!0,width:U,height:$},D.nodes[ti]={type:"img_resize",id:ti,is_intermediate:!0,width:P,height:k},D.nodes[Ls]={type:"img_resize",id:Ls,is_intermediate:!0,width:P,height:k},D.nodes[er]={type:"img_resize",id:er,is_intermediate:!0,width:P,height:k},D.nodes[Se]={...D.nodes[Se],width:U,height:$},D.edges.push({source:{node_id:ko,field:"image"},destination:{node_id:Nn,field:"image"}},{source:{node_id:Ds,field:"image"},destination:{node_id:Ni,field:"image"}},{source:{node_id:Ni,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:it,field:"image"},destination:{node_id:ti,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:er,field:"image"}},{source:{node_id:Nn,field:"image"},destination:{node_id:Ls,field:"image"}},{source:{node_id:Ls,field:"image"},destination:{node_id:wt,field:"reference"}},{source:{node_id:ti,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:Ls,field:"image"},destination:{node_id:Ie,field:"base_image"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:Ie,field:"mask"}})}else D.nodes[Nn]={...D.nodes[Nn],image:t},D.nodes[Se]={...D.nodes[Se],width:P,height:k},D.nodes[hn]={...D.nodes[hn],image:t},D.nodes[ut]={...D.nodes[ut],image:n},D.edges.push({source:{node_id:Ds,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:Nn,field:"image"},destination:{node_id:wt,field:"reference"}},{source:{node_id:it,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:Nn,field:"image"},destination:{node_id:Ie,field:"base_image"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ie,field:"mask"}});if(h){const U={id:dr,type:"rand_int"};D.nodes[dr]=U,D.edges.push({source:{node_id:dr,field:"a"},destination:{node_id:bn,field:"start"}})}else D.nodes[bn].start=f;return C&&lh(e,D,Re),Uo(e,D,We),ah(e,D,Re,We),Fo(e,D,Re),e.system.shouldUseNSFWChecker&&Bo(e,D,Ie),e.system.shouldUseWatermarker&&zo(e,D,Ie),D},zCe=e=>{const t=ke("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:d,shouldUseNoiseSettings:f}=e.generation,{width:h,height:g}=e.canvas.boundingBoxDimensions,{shouldAutoSave:m}=e.canvas,{shouldUseSDXLRefiner:v,refinerStart:x,shouldConcatSDXLStylePrompt:_}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const b=f?d:ys.shouldUseCpuNoise,y=i.model_type==="onnx",S=y?mS:We,C=y?"onnx_model_loader":"sdxl_model_loader",T=y?{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:v?x:1},{craftedPositiveStylePrompt:E,craftedNegativeStylePrompt:P}=Uc(e,_),k={id:IE,nodes:{[S]:{type:C,id:S,is_intermediate:!0,model:i},[$e]:{type:y?"prompt_onnx":"sdxl_compel_prompt",id:$e,is_intermediate:!0,prompt:n,style:E},[Be]:{type:y?"prompt_onnx":"sdxl_compel_prompt",id:Be,is_intermediate:!0,prompt:r,style:P},[Se]:{type:"noise",id:Se,is_intermediate:!0,width:h,height:g,use_cpu:b},[T.id]:T,[Ie]:{type:y?"l2i_onnx":"l2i",id:Ie,is_intermediate:!m,fp32:l==="fp32"}},edges:[{source:{node_id:S,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:S,field:"clip"},destination:{node_id:$e,field:"clip"}},{source:{node_id:S,field:"clip2"},destination:{node_id:$e,field:"clip2"}},{source:{node_id:S,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:S,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:$e,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:Se,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:Ie,field:"latents"}}]};return k.nodes[yt]={id:yt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,height:g,width:h,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:b?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},k.edges.push({source:{node_id:yt,field:"metadata"},destination:{node_id:Ie,field:"metadata"}}),v&&lh(e,k,Re),ah(e,k,Re,S),Uo(e,k,S),wu(e,k),Fo(e,k,Re),e.system.shouldUseNSFWChecker&&Bo(e,k,Ie),e.system.shouldUseWatermarker&&zo(e,k,Ie),k},VCe=e=>{const t=ke("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,clipSkip:l,shouldUseCpuNoise:u,shouldUseNoiseSettings:d}=e.generation,{width:f,height:h}=e.canvas.boundingBoxDimensions,{shouldAutoSave:g}=e.canvas;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const m=d?u:ys.shouldUseCpuNoise,v=i.model_type==="onnx",x=v?mS:an,_=v?"onnx_model_loader":"main_model_loader",b=v?{type:"t2l_onnx",id:Le,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Le,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},y={id:uz,nodes:{[x]:{type:_,id:x,is_intermediate:!0,model:i},[It]:{type:"clip_skip",id:It,is_intermediate:!0,skipped_layers:l},[$e]:{type:v?"prompt_onnx":"compel",id:$e,is_intermediate:!0,prompt:n},[Be]:{type:v?"prompt_onnx":"compel",id:Be,is_intermediate:!0,prompt:r},[Se]:{type:"noise",id:Se,is_intermediate:!0,width:f,height:h,use_cpu:m},[b.id]:b,[Ie]:{type:v?"l2i_onnx":"l2i",id:Ie,is_intermediate:!g}},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Le,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:It,field:"clip"}},{source:{node_id:It,field:"clip"},destination:{node_id:$e,field:"clip"}},{source:{node_id:It,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:$e,field:"conditioning"},destination:{node_id:Le,field:"positive_conditioning"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Le,field:"negative_conditioning"}},{source:{node_id:Se,field:"noise"},destination:{node_id:Le,field:"noise"}},{source:{node_id:Le,field:"latents"},destination:{node_id:Ie,field:"latents"}}]};return 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0)||0)}snapToCursor(t){Ps(n=>{const{drag:r}=this.getProps();if(!sv(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]-Pn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!Xd(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};Ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=x6e({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(),Ps(s=>{if(!sv(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(Pn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;I6e.set(this.visualElement,this);const 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sv(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function N6e(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class L6e extends xu{constructor(t){super(t),this.removeGroupControls=tr,this.removeListeners=tr,this.controls=new M6e(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||tr}unmount(){this.removeGroupControls(),this.removeListeners()}}const XI=e=>(t,n)=>{e&&Sn.update(()=>e(t,n))};class D6e extends xu{constructor(){super(...arguments),this.removePointerDownListener=tr}onPointerDown(t){this.session=new Uj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:XI(t),onStart:XI(n),onMove:r,onEnd:(o,s)=>{delete 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o=lu.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=Pn(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 U6e extends jt.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;qTe(z6e),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()})),Gv.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()||Sn.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 Wj(e){const[t,n]=$6e(),r=L.useContext(fA);return jt.createElement(U6e,{...e,layoutGroup:r,switchLayoutGroup:L.useContext(zV),isPresent:t,safeToRemove:n})}const 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a=Pn(o.min,o.max,r);e===o&&(a-=t),e.min=t7(e.min,t,n,a,i),e.max=t7(e.max,t,n,a,i)}function n7(e,t,[n,r,i],o,s){W6e(e,t[n],t[r],t[i],t.scale,o,s)}const q6e=["x","scaleX","originX"],K6e=["y","scaleY","originY"];function r7(e,t,n,r){n7(e.x,t,q6e,n?n.x:void 0,r?r.x:void 0),n7(e.y,t,K6e,n?n.y:void 0,r?r.y:void 0)}function i7(e){return e.translate===0&&e.scale===1}function Xj(e){return i7(e.x)&&i7(e.y)}function e4(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function o7(e){return oo(e.x)/oo(e.y)}class X6e{constructor(){this.members=[]}add(t){AA(this.members,t),t.scheduleRender()}remove(t){if(PA(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function s7(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const 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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 d=0;dthis.update()))}clearAllSnapshots(){this.nodes.forEach(aPe),this.sharedNodes.forEach(hPe)}scheduleUpdateProjection(){Sn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){Sn.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{const C=S/1e3;d7(f.x,s.x,C),d7(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Kp(h,this.layout.layoutBox,this.relativeParent.layout.layoutBox),pPe(this.relativeTarget,this.relativeTargetOrigin,h,C),y&&e4(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Xn()),wo(y,this.relativeTarget)),v&&(this.animationValues=d,j6e(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},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&&(Wa(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=Sn.update(()=>{Gv.hasAnimatedSinceResize=!0,this.currentAnimation=tPe(0,l7,{...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(l7),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Qj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Xn();const f=oo(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const h=oo(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+h}wo(a,l),Zd(a,d),qp(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new X6e),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 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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"?Ps(f=>{const h=s?n.measuredBox[f]:n.layoutBox[f],g=oo(h);h.min=r[f].min,h.max=h.min+g}):Qj(o,n.layoutBox,r)&&Ps(f=>{const h=s?n.measuredBox[f]:n.layoutBox[f],g=oo(r[f]);h.max=h.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Qd();qp(a,r,n.layoutBox);const l=Qd();s?qp(l,e.applyTransform(i,!0),n.measuredBox):qp(l,r,n.layoutBox);const u=!Xj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:h,layout:g}=f;if(h&&g){const m=Xn();Kp(m,n.layoutBox,h.layoutBox);const v=Xn();Kp(v,r,g.layoutBox),e4(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function oPe(e){Gu.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 sPe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function aPe(e){e.clearSnapshot()}function u7(e){e.clearMeasurements()}function lPe(e){e.isLayoutDirty=!1}function uPe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function c7(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function cPe(e){e.resolveTargetDelta()}function dPe(e){e.calcProjection()}function fPe(e){e.resetRotation()}function hPe(e){e.removeLeadSnapshot()}function d7(e,t,n){e.translate=Pn(t.translate,0,n),e.scale=Pn(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function f7(e,t,n,r){e.min=Pn(t.min,n.min,r),e.max=Pn(t.max,n.max,r)}function pPe(e,t,n,r){f7(e.x,t.x,n.x,r),f7(e.y,t.y,n.y,r)}function gPe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const mPe={duration:.45,ease:[.4,0,.1,1]};function h7(e){e.min=Math.round(e.min*2)/2,e.max=Math.round(e.max*2)/2}function yPe(e){h7(e.x),h7(e.y)}function Qj(e,t,n){return e==="position"||e==="preserve-aspect"&&!Y5(o7(t),o7(n),.2)}const 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i!==e&&s9e(i,o)&&n.push(i),o9e(i,o)?n:r(i.parentNode)}return e?r(e):n}function yG(e){const[t]=DA(e,1);return t??null}function CC(e){return!w2||!e?null:dh(e)?e:MA(e)?NA(e)||e===fh(e).scrollingElement?window:Jm(e)?e:null:null}function vG(e){return dh(e)?e.scrollX:e.scrollLeft}function _G(e){return dh(e)?e.scrollY:e.scrollTop}function c4(e){return{x:vG(e),y:_G(e)}}var xr;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(xr||(xr={}));function bG(e){return!w2||!e?!1:e===document.scrollingElement}function SG(e){const t={x:0,y:0},n=bG(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const a9e={x:.2,y:.2};function l9e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=a9e);const{isTop:u,isBottom:d,isLeft:f,isRight:h}=SG(e),g={x:0,y:0},m={x:0,y:0},v={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+v.height?(g.y=xr.Backward,m.y=r*Math.abs((t.top+v.height-o)/v.height)):!d&&l>=t.bottom-v.height&&(g.y=xr.Forward,m.y=r*Math.abs((t.bottom-v.height-l)/v.height)),!h&&a>=t.right-v.width?(g.x=xr.Forward,m.x=r*Math.abs((t.right-v.width-a)/v.width)):!f&&s<=t.left+v.width&&(g.x=xr.Backward,m.x=r*Math.abs((t.left+v.width-s)/v.width)),{direction:g,speed:m}}function u9e(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function wG(e){return e.reduce((t,n)=>wf(t,c4(n)),ms)}function c9e(e){return e.reduce((t,n)=>t+vG(n),0)}function d9e(e){return e.reduce((t,n)=>t+_G(n),0)}function xG(e,t){if(t===void 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h9e(e){const{EventTarget:t}=xi(e);return e instanceof t?e:fh(e)}function TC(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var Co;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(Co||(Co={}));function A7(e){e.preventDefault()}function p9e(e){e.stopPropagation()}var on;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(on||(on={}));const CG={start:[on.Space,on.Enter],cancel:[on.Esc],end:[on.Space,on.Enter]},g9e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case on.Right:return{...n,x:n.x+25};case on.Left:return{...n,x:n.x-25};case on.Down:return{...n,y:n.y+25};case on.Up:return{...n,y:n.y-25}}};class TG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Xp(fh(n)),this.windowListeners=new Xp(xi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(Co.Resize,this.handleCancel),this.windowListeners.add(Co.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(Co.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&xG(r),n(ms)}handleKeyDown(t){if(LA(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=CG,coordinateGetter:s=g9e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ms;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const h=M_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=SG(v),E=u9e(v),P={x:Math.min(x===on.Right?E.right-E.width/2:E.right,Math.max(x===on.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===on.Down?E.bottom-E.height/2:E.bottom,Math.max(x===on.Down?E.top:E.top+E.height/2,f.y))},k=x===on.Right&&!b||x===on.Left&&!y,O=x===on.Down&&!S||x===on.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+h.x,V=x===on.Right&&M<=C.x||x===on.Left&&M>=T.x;if(V&&!h.y){v.scrollTo({left:M,behavior:a});return}V?g.x=v.scrollLeft-M:g.x=x===on.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const M=v.scrollTop+h.y,V=x===on.Down&&M<=C.y||x===on.Up&&M>=T.y;if(V&&!h.x){v.scrollTo({top:M,behavior:a});return}V?g.y=v.scrollTop-M:g.y=x===on.Down?v.scrollTop-C.y:v.scrollTop-T.y,g.y&&v.scrollBy({top:-g.y,behavior:a});break}}this.handleMove(t,wf(M_(f,this.referenceCoordinates),g))}}}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()}}TG.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=CG,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 P7(e){return!!(e&&"distance"in e)}function R7(e){return!!(e&&"delay"in e)}class FA{constructor(t,n,r){var i;r===void 0&&(r=h9e(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=fh(s),this.documentListeners=new Xp(this.document),this.listeners=new Xp(r),this.windowListeners=new Xp(xi(s)),this.initialCoordinates=(i=lm(o))!=null?i:ms,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(Co.Resize,this.handleCancel),this.windowListeners.add(Co.DragStart,A7),this.windowListeners.add(Co.VisibilityChange,this.handleCancel),this.windowListeners.add(Co.ContextMenu,A7),this.documentListeners.add(Co.Keydown,this.handleKeydown),n){if(P7(n))return;if(R7(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(Co.Click,p9e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Co.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=lm(t))!=null?n:ms,u=M_(i,l);if(!r&&a){if(R7(a))return TC(u,a.tolerance)?this.handleCancel():void 0;if(P7(a))return a.tolerance!=null&&TC(u,a.tolerance)?this.handleCancel():TC(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===on.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const m9e={move:{name:"pointermove"},end:{name:"pointerup"}};class EG extends FA{constructor(t){const{event:n}=t,r=fh(n.target);super(t,m9e,r)}}EG.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 y9e={move:{name:"mousemove"},end:{name:"mouseup"}};var d4;(function(e){e[e.RightClick=2]="RightClick"})(d4||(d4={}));class AG extends FA{constructor(t){super(t,y9e,fh(t.event.target))}}AG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===d4.RightClick?!1:(r==null||r({event:n}),!0)}}];const EC={move:{name:"touchmove"},end:{name:"touchend"}};class PG extends FA{constructor(t){super(t,EC)}static setup(){return window.addEventListener(EC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(EC.move.name,t)};function t(){}}}PG.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 Yp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Yp||(Yp={}));var L_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(L_||(L_={}));function v9e(e){let{acceleration:t,activator:n=Yp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=L_.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:d,delta:f,threshold:h}=e;const g=b9e({delta:f,disabled:!o}),[m,v]=P8e(),x=L.useRef({x:0,y:0}),_=L.useRef({x:0,y:0}),b=L.useMemo(()=>{switch(n){case Yp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Yp.DraggableRect:return i}},[n,i,l]),y=L.useRef(null),S=L.useCallback(()=>{const T=y.current;if(!T)return;const E=x.current.x*_.current.x,P=x.current.y*_.current.y;T.scrollBy(E,P)},[]),C=L.useMemo(()=>a===L_.TreeOrder?[...u].reverse():u,[a,u]);L.useEffect(()=>{if(!o||!u.length||!b){v();return}for(const T of C){if((r==null?void 0:r(T))===!1)continue;const E=u.indexOf(T),P=d[E];if(!P)continue;const{direction:k,speed:O}=l9e(T,P,b,t,h);for(const M 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Ho({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==xe.string){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.string,received:o.parsedType}),je}const r=new Wr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.lengtho.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.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"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Le.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Le.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Le.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Le.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Le.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Le.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Le.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Le.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{var t;return new Ho({checks:[],typeName:Ue.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};function wle(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 zl extends tt{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)!==xe.number){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.number,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="int"?wt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?wle(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_finite,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new zl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new zl({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Le.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Le.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Le.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Le.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.valuet.kind==="int"||t.kind==="multipleOf"&&wt.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.valuenew zl({checks:[],typeName:Ue.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class Vl extends tt{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)!==xe.bigint){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.bigint,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.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),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new Vl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new Vl({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.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{var t;return new Vl({checks:[],typeName:Ue.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};class dg extends tt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==xe.boolean){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.boolean,received:r.parsedType}),je}return ui(t.data)}}dg.create=e=>new dg({typeName:Ue.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class nc extends tt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==xe.date){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.date,received:o.parsedType}),je}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_date}),je}const r=new Wr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):wt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new nc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Le.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Le.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.valuenew nc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ue.ZodDate,...Qe(e)});class m1 extends tt{_parse(t){if(this._getType(t)!==xe.symbol){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.symbol,received:r.parsedType}),je}return ui(t.data)}}m1.create=e=>new m1({typeName:Ue.ZodSymbol,...Qe(e)});class fg extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.undefined,received:r.parsedType}),je}return ui(t.data)}}fg.create=e=>new fg({typeName:Ue.ZodUndefined,...Qe(e)});class hg extends tt{_parse(t){if(this._getType(t)!==xe.null){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.null,received:r.parsedType}),je}return ui(t.data)}}hg.create=e=>new hg({typeName:Ue.ZodNull,...Qe(e)});class wf extends tt{constructor(){super(...arguments),this._any=!0}_parse(t){return ui(t.data)}}wf.create=e=>new wf({typeName:Ue.ZodAny,...Qe(e)});class Gu extends tt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return ui(t.data)}}Gu.create=e=>new Gu({typeName:Ue.ZodUnknown,...Qe(e)});class Oa extends tt{_parse(t){const n=this._getOrReturnCtx(t);return Te(n,{code:me.invalid_type,expected:xe.never,received:n.parsedType}),je}}Oa.create=e=>new Oa({typeName:Ue.ZodNever,...Qe(e)});class y1 extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.void,received:r.parsedType}),je}return ui(t.data)}}y1.create=e=>new y1({typeName:Ue.ZodVoid,...Qe(e)});class Yo extends tt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==xe.array)return Te(n,{code:me.invalid_type,expected:xe.array,received:n.parsedType}),je;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.lengthi.maxLength.value&&(Te(n,{code:me.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 Ms(n,s,n.path,a)))).then(s=>Wr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ms(n,s,n.path,a)));return Wr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Yo({...this._def,minLength:{value:t,message:Le.toString(n)}})}max(t,n){return new Yo({...this._def,maxLength:{value:t,message:Le.toString(n)}})}length(t,n){return new Yo({...this._def,exactLength:{value:t,message:Le.toString(n)}})}nonempty(t){return this.min(1,t)}}Yo.create=(e,t)=>new Yo({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ue.ZodArray,...Qe(t)});function yd(e){if(e instanceof gn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=_a.create(yd(r))}return new gn({...e._def,shape:()=>t})}else return e instanceof Yo?new Yo({...e._def,type:yd(e.element)}):e instanceof _a?_a.create(yd(e.unwrap())):e instanceof ic?ic.create(yd(e.unwrap())):e instanceof Ns?Ns.create(e.items.map(t=>yd(t))):e}class gn extends tt{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=wt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==xe.object){const u=this._getOrReturnCtx(t);return Te(u,{code:me.invalid_type,expected:xe.object,received:u.parsedType}),je}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Oa&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ms(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Oa){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Te(i,{code:me.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 d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ms(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>Wr.mergeObjectSync(r,u)):Wr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Le.errToObj,new gn({...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=Le.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new gn({...this._def,unknownKeys:"strip"})}passthrough(){return new gn({...this._def,unknownKeys:"passthrough"})}extend(t){return new gn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new gn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ue.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new gn({...this._def,catchall:t})}pick(t){const n={};return wt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}omit(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}deepPartial(){return yd(this)}partial(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new gn({...this._def,shape:()=>n})}required(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof _a;)o=o._def.innerType;n[r]=o}}),new gn({...this._def,shape:()=>n})}keyof(){return GD(wt.objectKeys(this.shape))}}gn.create=(e,t)=>new gn({shape:()=>e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.strictCreate=(e,t)=>new gn({shape:()=>e,unknownKeys:"strict",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.lazycreate=(e,t)=>new gn({shape:e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});class pg extends tt{_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 Xo(a.ctx.common.issues));return Te(n,{code:me.invalid_union,unionErrors:s}),je}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},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,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 Xo(l));return Te(n,{code:me.invalid_union,unionErrors:a}),je}}get options(){return this._def.options}}pg.create=(e,t)=>new pg({options:e,typeName:Ue.ZodUnion,...Qe(t)});const cv=e=>e instanceof yg?cv(e.schema):e instanceof ts?cv(e.innerType()):e instanceof vg?[e.value]:e instanceof jl?e.options:e instanceof _g?Object.keys(e.enum):e instanceof bg?cv(e._def.innerType):e instanceof fg?[void 0]:e instanceof hg?[null]:null;class ib extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.object)return Te(n,{code:me.invalid_type,expected:xe.object,received:n.parsedType}),je;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}):(Te(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),je)}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=cv(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 ib({typeName:Ue.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Qe(r)})}}function A3(e,t){const n=ml(e),r=ml(t);if(e===t)return{valid:!0,data:e};if(n===xe.object&&r===xe.object){const i=wt.objectKeys(t),o=wt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=A3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===xe.array&&r===xe.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o{if(T3(o)||T3(s))return je;const a=A3(o.value,s.value);return a.valid?((E3(o)||E3(s))&&n.dirty(),{status:n.value,value:a.data}):(Te(r,{code:me.invalid_intersection_types}),je)};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}))}}gg.create=(e,t,n)=>new gg({left:e,right:t,typeName:Ue.ZodIntersection,...Qe(n)});class Ns extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.array)return Te(r,{code:me.invalid_type,expected:xe.array,received:r.parsedType}),je;if(r.data.lengththis._def.items.length&&(Te(r,{code:me.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 Ms(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Wr.mergeArray(n,s)):Wr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Ns({...this._def,rest:t})}}Ns.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Ns({items:e,typeName:Ue.ZodTuple,rest:null,...Qe(t)})};class mg extends tt{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!==xe.object)return Te(r,{code:me.invalid_type,expected:xe.object,received:r.parsedType}),je;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ms(r,a,r.path,a)),value:s._parse(new Ms(r,r.data[a],r.path,a))});return r.common.async?Wr.mergeObjectAsync(n,i):Wr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof tt?new mg({keyType:t,valueType:n,typeName:Ue.ZodRecord,...Qe(r)}):new mg({keyType:Ho.create(),valueType:t,typeName:Ue.ZodRecord,...Qe(n)})}}class v1 extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.map)return Te(r,{code:me.invalid_type,expected:xe.map,received:r.parsedType}),je;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ms(r,a,r.path,[u,"key"])),value:o._parse(new Ms(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,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}v1.create=(e,t,n)=>new v1({valueType:t,keyType:e,typeName:Ue.ZodMap,...Qe(n)});class rc extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.set)return Te(r,{code:me.invalid_type,expected:xe.set,received:r.parsedType}),je;const i=this._def;i.minSize!==null&&r.data.sizei.maxSize.value&&(Te(r,{code:me.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 d of l){if(d.status==="aborted")return je;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ms(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:Le.toString(n)}})}max(t,n){return new rc({...this._def,maxSize:{value:t,message:Le.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:Ue.ZodSet,...Qe(t)});class Jd extends tt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.function)return Te(n,{code:me.invalid_type,expected:xe.function,received:n.parsedType}),je;function r(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof xf?ui(async(...a)=>{const l=new Xo([]),u=await this._def.args.parseAsync(a,o).catch(p=>{throw l.addIssue(r(a,p)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(p=>{throw l.addIssue(i(d,p)),l})}):ui((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new Xo([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new Xo([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Jd({...this._def,args:Ns.create(t).rest(Gu.create())})}returns(t){return new Jd({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Jd({args:t||Ns.create([]).rest(Gu.create()),returns:n||Gu.create(),typeName:Ue.ZodFunction,...Qe(r)})}}class yg extends tt{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})}}yg.create=(e,t)=>new yg({getter:e,typeName:Ue.ZodLazy,...Qe(t)});class vg extends tt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Te(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),je}return{status:"valid",value:t.data}}get value(){return this._def.value}}vg.create=(e,t)=>new vg({value:e,typeName:Ue.ZodLiteral,...Qe(t)});function GD(e,t){return new jl({values:e,typeName:Ue.ZodEnum,...Qe(t)})}class jl extends tt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{expected:wt.joinValues(r),received:n.parsedType,code:me.invalid_type}),je}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{received:n.data,code:me.invalid_enum_value,options:r}),je}return ui(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 jl.create(t)}exclude(t){return jl.create(this.options.filter(n=>!t.includes(n)))}}jl.create=GD;class _g extends tt{_parse(t){const n=wt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==xe.string&&r.parsedType!==xe.number){const i=wt.objectValues(n);return Te(r,{expected:wt.joinValues(i),received:r.parsedType,code:me.invalid_type}),je}if(n.indexOf(t.data)===-1){const i=wt.objectValues(n);return Te(r,{received:r.data,code:me.invalid_enum_value,options:i}),je}return ui(t.data)}get enum(){return this._def.values}}_g.create=(e,t)=>new _g({values:e,typeName:Ue.ZodNativeEnum,...Qe(t)});class xf extends tt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.promise&&n.common.async===!1)return Te(n,{code:me.invalid_type,expected:xe.promise,received:n.parsedType}),je;const r=n.parsedType===xe.promise?n.data:Promise.resolve(n.data);return ui(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}xf.create=(e,t)=>new xf({type:e,typeName:Ue.ZodPromise,...Qe(t)});class ts extends tt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ue.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return 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})}const o={addIssue:s=>{Te(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),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"?je:(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"?je:(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(!p1(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=>p1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);wt.assertNever(i)}}ts.create=(e,t,n)=>new ts({schema:e,typeName:Ue.ZodEffects,effect:t,...Qe(n)});ts.createWithPreprocess=(e,t,n)=>new ts({schema:t,effect:{type:"preprocess",transform:e},typeName:Ue.ZodEffects,...Qe(n)});class _a extends tt{_parse(t){return this._getType(t)===xe.undefined?ui(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}_a.create=(e,t)=>new _a({innerType:e,typeName:Ue.ZodOptional,...Qe(t)});class ic extends tt{_parse(t){return this._getType(t)===xe.null?ui(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ic.create=(e,t)=>new ic({innerType:e,typeName:Ue.ZodNullable,...Qe(t)});class bg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===xe.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}bg.create=(e,t)=>new bg({innerType:e,typeName:Ue.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Qe(t)});class _1 extends tt{_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 g1(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}_1.create=(e,t)=>new _1({innerType:e,typeName:Ue.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Qe(t)});class b1 extends tt{_parse(t){if(this._getType(t)!==xe.nan){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.nan,received:r.parsedType}),je}return{status:"valid",value:t.data}}}b1.create=e=>new b1({typeName:Ue.ZodNaN,...Qe(e)});const xle=Symbol("zod_brand");class HD extends tt{_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 hm extends tt{_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"?je:o.status==="dirty"?(n.dirty(),jD(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"?je: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 hm({in:t,out:n,typeName:Ue.ZodPipeline})}}const WD=(e,t={},n)=>e?wf.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})}}):wf.create(),Cle={object:gn.lazycreate};var Ue;(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"})(Ue||(Ue={}));const Tle=(e,t={message:`Input not instance of ${e.name}`})=>WD(n=>n instanceof e,t),qD=Ho.create,KD=zl.create,Ele=b1.create,Ale=Vl.create,XD=dg.create,Ple=nc.create,Rle=m1.create,Ole=fg.create,kle=hg.create,Ile=wf.create,Mle=Gu.create,Nle=Oa.create,Lle=y1.create,Dle=Yo.create,$le=gn.create,Fle=gn.strictCreate,Ble=pg.create,Ule=ib.create,zle=gg.create,Vle=Ns.create,jle=mg.create,Gle=v1.create,Hle=rc.create,Wle=Jd.create,qle=yg.create,Kle=vg.create,Xle=jl.create,Yle=_g.create,Qle=xf.create,N9=ts.create,Zle=_a.create,Jle=ic.create,eue=ts.createWithPreprocess,tue=hm.create,nue=()=>qD().optional(),rue=()=>KD().optional(),iue=()=>XD().optional(),oue={string:e=>Ho.create({...e,coerce:!0}),number:e=>zl.create({...e,coerce:!0}),boolean:e=>dg.create({...e,coerce:!0}),bigint:e=>Vl.create({...e,coerce:!0}),date:e=>nc.create({...e,coerce:!0})},sue=je;var xt=Object.freeze({__proto__:null,defaultErrorMap:cg,setErrorMap:cle,getErrorMap:f1,makeIssue:h1,EMPTY_PATH:dle,addIssueToContext:Te,ParseStatus:Wr,INVALID:je,DIRTY:jD,OK:ui,isAborted:T3,isDirty:E3,isValid:p1,isAsync:g1,get util(){return wt},get objectUtil(){return C3},ZodParsedType:xe,getParsedType:ml,ZodType:tt,ZodString:Ho,ZodNumber:zl,ZodBigInt:Vl,ZodBoolean:dg,ZodDate:nc,ZodSymbol:m1,ZodUndefined:fg,ZodNull:hg,ZodAny:wf,ZodUnknown:Gu,ZodNever:Oa,ZodVoid:y1,ZodArray:Yo,ZodObject:gn,ZodUnion:pg,ZodDiscriminatedUnion:ib,ZodIntersection:gg,ZodTuple:Ns,ZodRecord:mg,ZodMap:v1,ZodSet:rc,ZodFunction:Jd,ZodLazy:yg,ZodLiteral:vg,ZodEnum:jl,ZodNativeEnum:_g,ZodPromise:xf,ZodEffects:ts,ZodTransformer:ts,ZodOptional:_a,ZodNullable:ic,ZodDefault:bg,ZodCatch:_1,ZodNaN:b1,BRAND:xle,ZodBranded:HD,ZodPipeline:hm,custom:WD,Schema:tt,ZodSchema:tt,late:Cle,get ZodFirstPartyTypeKind(){return Ue},coerce:oue,any:Ile,array:Dle,bigint:Ale,boolean:XD,date:Ple,discriminatedUnion:Ule,effect:N9,enum:Xle,function:Wle,instanceof:Tle,intersection:zle,lazy:qle,literal:Kle,map:Gle,nan:Ele,nativeEnum:Yle,never:Nle,null:kle,nullable:Jle,number:KD,object:$le,oboolean:iue,onumber:rue,optional:Zle,ostring:nue,pipeline:tue,preprocess:eue,promise:Qle,record:jle,set:Hle,strictObject:Fle,string:qD,symbol:Rle,transformer:N9,tuple:Vle,undefined:Ole,union:Ble,unknown:Mle,void:Lle,NEVER:sue,ZodIssueCode:me,quotelessJson:ule,ZodError:Xo});const aue=xt.string(),oRe=e=>aue.safeParse(e).success,lue=xt.string(),sRe=e=>lue.safeParse(e).success,uue=xt.string(),aRe=e=>uue.safeParse(e).success,cue=xt.string(),lRe=e=>cue.safeParse(e).success,due=xt.number().int().min(1),uRe=e=>due.safeParse(e).success,fue=xt.number().min(1),cRe=e=>fue.safeParse(e).success,hue=xt.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"]),dRe=e=>hue.safeParse(e).success,fRe={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"},pue=xt.number().int().min(0).max(lle),hRe=e=>pue.safeParse(e).success,gue=xt.number().multipleOf(8).min(64),pRe=e=>gue.safeParse(e).success,mue=xt.number().multipleOf(8).min(64),gRe=e=>mue.safeParse(e).success,pm=xt.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),ST=xt.object({model_name:xt.string().min(1),base_model:pm,model_type:xt.literal("main")}),mRe=e=>ST.safeParse(e).success,YD=xt.object({model_name:xt.string().min(1),base_model:xt.literal("sdxl-refiner"),model_type:xt.literal("main")}),yRe=e=>YD.safeParse(e).success,yue=xt.object({model_name:xt.string().min(1),base_model:pm,model_type:xt.literal("onnx")}),QD=xt.union([ST,yue]),vue=xt.object({model_name:xt.string().min(1),base_model:pm}),vRe=xt.object({model_name:xt.string().min(1),base_model:pm}),_Re=xt.object({model_name:xt.string().min(1),base_model:pm}),_ue=xt.number().min(0).max(1),bRe=e=>_ue.safeParse(e).success;xt.enum(["fp16","fp32"]);const 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t=({id:n,className:r,type:i,data:o,onClick:s,onEdgeDoubleClick:a,selected:l,animated:u,label:d,labelStyle:f,labelShowBg:p,labelBgStyle:g,labelBgPadding:m,labelBgBorderRadius:v,style:x,source:_,target:b,sourceX:y,sourceY:S,targetX:C,targetY:T,sourcePosition:E,targetPosition:P,elementsSelectable:k,hidden:O,sourceHandleId:M,targetHandleId:G,onContextMenu:U,onMouseEnter:A,onMouseMove:N,onMouseLeave:F,edgeUpdaterRadius:B,onEdgeUpdate:D,onEdgeUpdateStart:V,onEdgeUpdateEnd:j,markerEnd:q,markerStart:Z,rfId:ee,ariaLabel:ie,isFocusable:se,isUpdatable:le,pathOptions:W,interactionWidth:ne})=>{const fe=L.useRef(null),[pe,ve]=L.useState(!1),[ye,We]=L.useState(!1),Me=qr(),Ee=L.useMemo(()=>`url(#${H3(Z,ee)})`,[Z,ee]),lt=L.useMemo(()=>`url(#${H3(q,ee)})`,[q,ee]);if(O)return null;const _e=sn=>{const{edges:Gt,addSelectedEdges:vr}=Me.getState();if(k&&(Me.setState({nodesSelectionActive:!1}),vr([n])),s){const 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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),mO(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=W1(this.data,a)||{};i?SU(l,r,o):l={...l,...r},mO(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 wU={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 vO={};class X1 extends eS{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),Xve(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=Cs.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&&!t1e(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,d=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(d){const S=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${S}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${S}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const f=this.resolve(t,n);let p=f&&f.res;const g=f&&f.usedKey||s,m=f&&f.exactUsedKey||s,v=Object.prototype.toString.apply(p),x=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,b=!this.i18nFormat||this.i18nFormat.handleAsObject;if(b&&p&&(typeof p!="string"&&typeof p!="boolean"&&typeof p!="number")&&x.indexOf(v)<0&&!(typeof _=="string"&&v==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const S=this.options.returnedObjectHandler?this.options.returnedObjectHandler(g,p,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(f.res=S,f):S}if(o){const S=v==="[object Array]",C=S?[]:{},T=S?m:g;for(const E in p)if(Object.prototype.hasOwnProperty.call(p,E)){const P=`${T}${o}${E}`;C[E]=this.translate(P,{...n,joinArrays:!1,ns:a}),C[E]===P&&(C[E]=p[E])}p=C}}else if(b&&typeof _=="string"&&v==="[object Array]")p=p.join(_),p&&(p=this.extendTranslation(p,t,n,r));else{let S=!1,C=!1;const T=n.count!==void 0&&typeof n.count!="string",E=X1.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(p)&&E&&(S=!0,p=O),this.isValidLookup(p)||(C=!0,p=s);const G=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:p,U=E&&O!==p&&this.options.updateMissing;if(C||S||U){if(this.logger.log(U?"updateKey":"missingKey",u,l,s,U?O:p),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 A=[];const N=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&N&&N[0])for(let B=0;B{const j=E&&V!==p?V:G;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,D,j,U,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,D,j,U,n),this.emit("missingKey",B,l,D,p)};this.options.saveMissing&&(this.options.saveMissingPlurals&&T?A.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(D=>{F([B],s+D,n[`defaultValue${D}`]||O)})}):F(A,s,O))}p=this.extendTranslation(p,t,n,f,r),C&&p===s&&this.options.appendNamespaceToMissingKey&&(p=`${l}:${s}`),(C||S)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?p=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,S?p:void 0):p=this.options.parseMissingKeyHandler(p))}return i?(f.res=p,f):p}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let d;if(u){const p=t.match(this.interpolator.nestingRegexp);d=p&&p.length}let f=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,r.lng||this.language,r),u){const p=t.match(this.interpolator.nestingRegexp),g=p&&p.length;d1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),d=u.key;i=d;let f=u.namespaces;this.options.fallbackNS&&(f=f.concat(this.options.fallbackNS));const p=n.count!==void 0&&typeof n.count!="string",g=p&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),m=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",v=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);f.forEach(x=>{this.isValidLookup(r)||(a=x,!vO[`${v[0]}-${x}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(vO[`${v[0]}-${x}`]=!0,this.logger.warn(`key "${i}" for languages "${v.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. 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Wait for the callback or Promise to resolve before accessing it!!!")),v.forEach(_=>{if(this.isValidLookup(r))return;s=_;const b=[d];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(b,d,_,x,n);else{let S;p&&(S=this.pluralResolver.getSuffix(_,n.count,n));const C=`${this.options.pluralSeparator}zero`,T=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(p&&(b.push(d+S),n.ordinal&&S.indexOf(T)===0&&b.push(d+S.replace(T,this.options.pluralSeparator)),g&&b.push(d+C)),m){const E=`${d}${this.options.contextSeparator}${n.context}`;b.push(E),p&&(b.push(E+S),n.ordinal&&S.indexOf(T)===0&&b.push(E+S.replace(T,this.options.pluralSeparator)),g&&b.push(E+C))}}let y;for(;y=b.pop();)this.isValidLookup(r)||(o=y,r=this.getResource(_,x,y,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 Rx(e){return e.charAt(0).toUpperCase()+e.slice(1)}class _O{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Cs.create("languageUtils")}getScriptPartFromCode(t){if(t=K1(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=K1(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]=Rx(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]=Rx(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Rx(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 n1e=[{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}],r1e={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 i1e=["v1","v2","v3"],o1e=["v4"],bO={zero:0,one:1,two:2,few:3,many:4,other:5};function s1e(){const e={};return n1e.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:r1e[t.fc]}})}),e}class a1e{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Cs.create("pluralResolver"),(!this.options.compatibilityJSON||o1e.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)=>bO[i]-bO[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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",KO="stage",sl="transform",GSe="Stage",s5="visible",HSe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(bv);let WSe=1;class ze{constructor(t){this._id=WSe++,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===sl||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===sl||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(bv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(xu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===la&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(xu)){const{scene:t,filter:n,hit:r}=this._cache.get(xu);ct.Util.releaseCanvas(t,n,r),this._cache.delete(xu)}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,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){ct.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 p=new N0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new N0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new N0.HitCanvas({pixelRatio:f,width:i,height:o}),v=p.getContext(),x=m.getContext();return m.isCache=!0,p.isCache=!0,this._cache.delete(xu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(p.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this.drawScene(p,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set(xu,{scene:p,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(xu)}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 d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.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 d=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()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l{var n,r;if(!t)return this;for(n in t)n!==VSe&&(r=WO+ct.Util._capitalize(n),ct.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(o5,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(s5,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&&!wu.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;s0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==GSe&&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(sl),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 ct.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(sl);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(sl),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;s0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return ct.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 ct.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&ct.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(_v,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=ct.Util.isObject(i)&&!ct.Util._isPlainObject(i)&&!ct.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(),ct.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{try{const i=t==null?void 0:t.callback;i&&delete t.callback,ct.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():wu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o=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 ct.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return ct.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ze.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),wu.Konva[r]||(ct.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=wu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a0}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;n0?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=Lx.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=Lx.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 d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),p=f.getMatrix();o.transform(p[0],p[1],p[2],p[3],p[4],p[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),p=f.copy().invert().getMatrix(),o.transform(p[0],p[1],p[2],p[3],p[4],p[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&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},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),p=!1,g=0;gle.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&j.pointer;if(W==="touch")return j.touch;if(W==="mouse")return j.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="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 se extends r.Container{constructor(W){super(ee(W)),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",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;feD&&t.Util.warn("The stage has "+pe+" 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."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&V.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Me=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Me&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var We=this._getTargetShape(fe);this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me),lt=Me.id,_e={evt:W,pointerId:lt};var jt=We!==Ee;if(jt&&We&&(We._fireAndBubble(ne.pointerout,Object.assign({},_e),Ee),We._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ee)),Ee){if(ve[Ee._id])return;ve[Ee._id]=!0}Ee&&Ee.isListening()?(ye=!0,jt&&(Ee._fireAndBubble(ne.pointerover,Object.assign({},_e),We),Ee._fireAndBubble(ne.pointerenter,Object.assign({},_e),We),this[fe+"targetShape"]=Ee),Ee._fireAndBubble(ne.pointermove,Object.assign({},_e))):We&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:lt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let We=!1;this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me);if(Ee){if(Ee.releaseCapture(Me.id),ye[Ee._id])return;ye[Ee._id]=!0}const lt=Me.id,_e={evt:W,pointerId:lt};let jt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(jt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ee&&Ee.isListening()?(We=!0,this[fe+"ClickEndShape"]=Ee,Ee._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ee&&(Ee._fireAndBubble(ne.pointerclick,Object.assign({},_e)),jt&&ve&&ve===Ee&&Ee._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:lt}),jt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:lt}))}),We||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(G,{evt:W}):this._fire(G,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(B,{evt:W}):this._fire(B,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.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 W=this.container();if(!W)throw"Stage has no container. A container is required.";W.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"),W.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(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(YU);var Pm={},rr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=rt,n=Sn,r=nt,i=fn,o=ke,s=rt,a=Vi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",p="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(p)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=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(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const G=new n.Transform;G.translate(this.fillPatternX(),this.fillPatternY()),G.rotate(t.Konva.getAngle(this.fillPatternRotation())),G.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),G.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const U=G.getMatrix(),A=typeof DOMMatrix>"u"?{a:U[0],b:U[1],c:U[2],d:U[3],e:U[4],f:U[5]}:new DOMMatrix(U);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),G=this.fillLinearGradientStartPoint(),U=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(G.x,G.y,U.x,U.y),N=0;Nthis.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 O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),G=M.bufferHitCanvas,U;return G.getContext().clear(),this.drawHit(G,null,!0),U=G.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,U[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const U=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(U&&A&&N)return!0;const F=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(U&&A&&F&&B)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,G=O.relativeTo,U=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,F=U.width+N,B=U.height+N,D=!O.skipShadow&&this.hasShadow(),V=D?this.shadowOffsetX():0,j=D?this.shadowOffsetY():0,q=F+Math.abs(V),Z=B+Math.abs(j),ee=D&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(V,0)+U.x,y:-(N/2+ee)+Math.min(j,0)+U.y};return M?le:this._transformedRect(le,G)}drawScene(O,M){var G=this.getLayer(),U=O||G.getCanvas(),A=U.getContext(),N=this._getCanvasCache(),F=this.getSceneFunc(),B=this.hasShadow(),D,V,j,q=U.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!F)return this;if(A.save(),this._useBufferCanvas()&&!q){D=this.getStage(),V=D.bufferCanvas,j=V.getContext(),j.clear(),j.save(),j._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();j.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),F.call(this,j,this),j.restore();var se=V.pixelRatio;B&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(V._canvas,0,0,V.width/se,V.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}B&&A._applyShadow(this),F.call(this,A,this)}return A.restore(),this}drawHit(O,M,G=!1){if(!this.shouldDrawHit(M,G))return this;var U=this.getLayer(),A=O||U.hitCanvas,N=A&&A.getContext(),F=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),D=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()"),D){N.save();var V=this.getAbsoluteTransform(M).getMatrix();return N.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!F)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return F.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),G=this._getCachedSceneCanvas(),U=M.hit,A=U.getContext(),N=U.getWidth(),F=U.getHeight(),B,D,V,j,q,Z;A.clear(),A.drawImage(G._canvas,0,0,N,F);try{for(B=A.getImageData(0,0,N,F),D=B.data,V=D.length,j=n.Util._hexToRgb(this.colorKey),q=0;qO?(D[q]=j.r,D[q+1]=j.g,D[q+2]=j.b,D[q+3]=255):D[q+3]=0;A.putImageData(B,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(rr);Object.defineProperty(Pm,"__esModule",{value:!0});Pm.Layer=void 0;const ia=Sn,Dx=vc,hd=fn,bE=nt,XO=Qo,QSe=ke,ZSe=rr,JSe=rt;var e2e="#",t2e="beforeDraw",n2e="draw",JU=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],r2e=JU.length;class Vf extends Dx.Container{constructor(t){super(t),this.canvas=new XO.SceneCanvas,this.hitCanvas=new XO.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{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;i0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(t2e,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Dx.Container.prototype.drawScene.call(this,i,n),this._fire(n2e,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Dx.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return ia.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 ia.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Pm.Layer=Vf;Vf.prototype.nodeType="Layer";(0,JSe._registerNode)(Vf);bE.Factory.addGetterSetter(Vf,"imageSmoothingEnabled",!0);bE.Factory.addGetterSetter(Vf,"clearBeforeDraw",!0);bE.Factory.addGetterSetter(Vf,"hitGraphEnabled",!0,(0,QSe.getBooleanValidator)());var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.FastLayer=void 0;const i2e=Sn,o2e=Pm,s2e=rt;class SE extends o2e.Layer{constructor(t){super(t),this.listening(!1),i2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}lS.FastLayer=SE;SE.prototype.nodeType="FastLayer";(0,s2e._registerNode)(SE);var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Group=void 0;const a2e=Sn,l2e=vc,u2e=rt;class wE extends l2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&a2e.Util.throw("You may only add groups and shapes to groups.")}}jf.Group=wE;wE.prototype.nodeType="Group";(0,u2e._registerNode)(wE);var Gf={};Object.defineProperty(Gf,"__esModule",{value:!0});Gf.Animation=void 0;const $x=rt,YO=Sn;var Fx=function(){return $x.glob.performance&&$x.glob.performance.now?function(){return $x.glob.performance.now()}:function(){return new Date().getTime()}}();class ws{constructor(t,n){this.id=ws.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Fx(),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;ithis.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,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(m){this.pause(),this._time=m,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 m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class p{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||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(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),p.attrs[_]||(p.attrs[_]={}),p.attrs[_][this._id]||(p.attrs[_][this._id]={}),p.tweens[_]||(p.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=p.tweens[_][m],S&&delete p.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.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(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=p.tweens[m],_;this.pause();for(_ in x)delete p.tweens[m][_];delete p.attrs[m][v]}}e.Tween=p,p.attrs={},p.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new p(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var _=1.70158;return v*((g=g/x-1)*g*((_+1)*g+_)+1)+m},BackEaseInOut(g,m,v,x){var _=1.70158;return(g/=x/2)<1?v/2*(g*g*(((_*=1.525)+1)*g-_))+m:v/2*((g-=2)*g*(((_*=1.525)+1)*g+_)+2)+m},ElasticEaseIn(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_0?t:n),d=s*n,f=a*(a>0?t:n),p=l*(l>0?n:t);return{x:u,y:r?-1*p:f,width:d-u,height:p-f}}}uS.Arc=Ua;Ua.prototype._centroid=!0;Ua.prototype.className="Arc";Ua.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,d2e._registerNode)(Ua);cS.Factory.addGetterSetter(Ua,"innerRadius",0,(0,dS.getNumberValidator)());cS.Factory.addGetterSetter(Ua,"outerRadius",0,(0,dS.getNumberValidator)());cS.Factory.addGetterSetter(Ua,"angle",0,(0,dS.getNumberValidator)());cS.Factory.addGetterSetter(Ua,"clockwise",!1,(0,dS.getBooleanValidator)());var fS={},Rm={};Object.defineProperty(Rm,"__esModule",{value:!0});Rm.Line=void 0;const hS=nt,f2e=rr,tz=ke,h2e=rt;function a5(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),d=s*l/(a+l),f=n-u*(i-e),p=r-u*(o-t),g=n+d*(i-e),m=r+d*(o-t);return[f,p,g,m]}function ZO(e,t){var n=e.length,r=[],i,o;for(i=2;i4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u{let u,d,f;u=l/2,d=0;for(let g=0;g<20;g++)f=u*e.tValues[20][g]+u,d+=e.cValues[20][g]*r(s,a,f);return u*d};e.getCubicArcLength=t;const n=(s,a,l)=>{l===void 0&&(l=1);const u=s[0]-2*s[1]+s[2],d=a[0]-2*a[1]+a[2],f=2*s[1]-2*s[0],p=2*a[1]-2*a[0],g=4*(u*u+d*d),m=4*(u*f+d*p),v=f*f+p*p;if(g===0)return l*Math.sqrt(Math.pow(s[2]-s[0],2)+Math.pow(a[2]-a[0],2));const x=m/(2*g),_=v/g,b=l+x,y=_-x*x,S=b*b+y>0?Math.sqrt(b*b+y):0,C=x*x+y>0?Math.sqrt(x*x+y):0,T=x+Math.sqrt(x*x+y)!==0?y*Math.log(Math.abs((b+S)/(x+C))):0;return Math.sqrt(g)/2*(b*S-x*C+T)};e.getQuadraticArcLength=n;function r(s,a,l){const u=i(1,l,s),d=i(1,l,a),f=u*u+d*d;return Math.sqrt(f)}const i=(s,a,l)=>{const u=l.length-1;let d,f;if(u===0)return 0;if(s===0){f=0;for(let p=0;p<=u;p++)f+=e.binomialCoefficients[u][p]*Math.pow(1-a,u-p)*Math.pow(a,p)*l[p];return f}else{d=new Array(u);for(let p=0;p{let u=1,d=s/a,f=(s-l(d))/a,p=0;for(;u>.001;){const g=l(d+f),m=Math.abs(s-g)/a;if(m500)break}return d};e.t2length=o})(nz);Object.defineProperty(Hf,"__esModule",{value:!0});Hf.Path=void 0;const p2e=nt,g2e=rr,m2e=rt,pd=nz;class Zn extends g2e.Shape{constructor(t){super(t),this.dataArray=[],this.pathLength=0,this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute()})}_readDataAttribute(){this.dataArray=Zn.parsePathData(this.data()),this.pathLength=Zn.getPathLength(this.dataArray)}_sceneFunc(t){var n=this.dataArray;t.beginPath();for(var r=!1,i=0;id?u:d,x=u>d?1:u/d,_=u>d?d/u:1;t.translate(a,l),t.rotate(g),t.scale(x,_),t.arc(0,0,v,f,f+p,1-m),t.scale(1/x,1/_),t.rotate(-g),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 d=u.points[4],f=u.points[5],p=u.points[4]+f,g=Math.PI/180;if(Math.abs(d-p)p;m-=g){const v=Zn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}else for(let m=d+g;mn[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 Zn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Zn.getPointOnCubicBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Zn.getPointOnQuadraticBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],p=a[4],g=a[5],m=a[6];return p+=g*t/s.pathLength,Zn.getPointOnEllipticalArc(l,u,d,f,p,m)}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));i0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,G,U,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var F=m.shift(),B=m.shift();if(l+=F,u+=B,b="M",s.length>2&&s[s.length-1].command==="z"){for(var D=s.length-2;D>=0;D--)if(s[D].command==="M"){l=s[D].points[0]+F,u=s[D].points[1]+B;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="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=Zn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,pd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,pd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],p=i[4]+f,g=Math.PI/180;if(Math.abs(d-p)p;l-=g)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=d+g;l1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(p*p)-l*l*(f*f))/(a*a*(p*p)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*p/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}Hf.Path=Zn;Zn.prototype.className="Path";Zn.prototype._attrsAffectingSize=["data"];(0,m2e._registerNode)(Zn);p2e.Factory.addGetterSetter(Zn,"data");Object.defineProperty(fS,"__esModule",{value:!0});fS.Arrow=void 0;const pS=nt,y2e=Rm,rz=ke,v2e=rt,JO=Hf;class bc extends y2e.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 p=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=JO.Path.calcLength(i[i.length-4],i[i.length-3],"C",p),m=JO.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),p[0],p[1],p[2],p[3],p[4],p[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/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,f/2),t.lineTo(-s,-f/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}}}fS.Arrow=bc;bc.prototype.className="Arrow";(0,v2e._registerNode)(bc);pS.Factory.addGetterSetter(bc,"pointerLength",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerWidth",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerAtBeginning",!1);pS.Factory.addGetterSetter(bc,"pointerAtEnding",!0);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Circle=void 0;const _2e=nt,b2e=rr,S2e=ke,w2e=rt;let Wf=class extends b2e.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)}};gS.Circle=Wf;Wf.prototype._centroid=!0;Wf.prototype.className="Circle";Wf.prototype._attrsAffectingSize=["radius"];(0,w2e._registerNode)(Wf);_2e.Factory.addGetterSetter(Wf,"radius",0,(0,S2e.getNumberValidator)());var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Ellipse=void 0;const xE=nt,x2e=rr,iz=ke,C2e=rt;class ou extends x2e.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)}}mS.Ellipse=ou;ou.prototype.className="Ellipse";ou.prototype._centroid=!0;ou.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,C2e._registerNode)(ou);xE.Factory.addComponentsGetterSetter(ou,"radius",["x","y"]);xE.Factory.addGetterSetter(ou,"radiusX",0,(0,iz.getNumberValidator)());xE.Factory.addGetterSetter(ou,"radiusY",0,(0,iz.getNumberValidator)());var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Image=void 0;const Bx=Sn,Sc=nt,T2e=rr,E2e=rt,Om=ke;let Us=class oz extends T2e.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?Bx.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?Bx.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=Bx.Util.createImageElement();i.onload=function(){var o=new oz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};yS.Image=Us;Us.prototype.className="Image";(0,E2e._registerNode)(Us);Sc.Factory.addGetterSetter(Us,"cornerRadius",0,(0,Om.getNumberOrArrayOfNumbersValidator)(4));Sc.Factory.addGetterSetter(Us,"image");Sc.Factory.addComponentsGetterSetter(Us,"crop",["x","y","width","height"]);Sc.Factory.addGetterSetter(Us,"cropX",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropY",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropWidth",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropHeight",0,(0,Om.getNumberValidator)());var Rf={};Object.defineProperty(Rf,"__esModule",{value:!0});Rf.Tag=Rf.Label=void 0;const vS=nt,A2e=rr,P2e=jf,CE=ke,sz=rt;var az=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],R2e="Change.konva",O2e="none",l5="up",u5="right",c5="down",d5="left",k2e=az.length;class TE extends P2e.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{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)}}bS.RegularPolygon=xc;xc.prototype.className="RegularPolygon";xc.prototype._centroid=!0;xc.prototype._attrsAffectingSize=["radius"];(0,F2e._registerNode)(xc);lz.Factory.addGetterSetter(xc,"radius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(xc,"sides",0,(0,uz.getNumberValidator)());var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.Ring=void 0;const cz=nt,B2e=rr,dz=ke,U2e=rt;var ek=Math.PI*2;class Cc extends B2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,ek,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),ek,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)}}SS.Ring=Cc;Cc.prototype.className="Ring";Cc.prototype._centroid=!0;Cc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,U2e._registerNode)(Cc);cz.Factory.addGetterSetter(Cc,"innerRadius",0,(0,dz.getNumberValidator)());cz.Factory.addGetterSetter(Cc,"outerRadius",0,(0,dz.getNumberValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Sprite=void 0;const Tc=nt,z2e=rr,V2e=Gf,fz=ke,j2e=rt;class zs extends z2e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new V2e.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],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var p=s[n],g=r*2;t.drawImage(f,a,l,u,d,p[g+0],p[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_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],d=r*2;t.rect(u[d+0],u[d+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{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var $0;function zx(){return $0||($0=f5.Util.createCanvasElement().getContext(Y2e),$0)}function awe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function lwe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function uwe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Dn extends W2e.Shape{constructor(t){super(uwe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n1&&(_+=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=f5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(Q2e,n),this}getWidth(){var t=this.attrs.width===gd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===gd||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 f5.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=zx(),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()+D0+this.fontVariant()+D0+(this.fontSize()+twe)+swe(this.fontFamily())}_addTextLine(t){this.align()===Zh&&(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 zx().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!==gd&&o!==void 0,l=s!==gd&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,p=0,g=this.wrap(),m=g!==rk,v=g!==iwe&&m,x=this.ellipsis();this.textArr=[],zx().font=this._getContextFont();for(var _=x?this._getTextWidth(Ux):0,b=0,y=t.length;bd)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T>>1,M=S.slice(0,O+1),G=this._getTextWidth(M)+_;G<=d?(T=O+1,P=M,k=G):E=O}if(P){if(v){var U,A=S[P.length],N=A===D0||A===tk;N&&k<=d?U=P.length:U=Math.max(P.lastIndexOf(D0),P.lastIndexOf(tk))+1,U>0&&(T=U,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),p+=i;var F=this._shouldHandleEllipsis(p);if(F){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),p+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),p+=i,r=Math.max(r,C),this._shouldHandleEllipsis(p)&&bf)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==gd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==rk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==gd&&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+Ux)n?null:Jh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Jh.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=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;ie+`.${Sz}`).join(" "),sk="nodesRect",ywe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],vwe={"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 _we="ontouchstart"in $o.Konva._global;function bwe(e,t){if(e==="rotater")return"crosshair";t+=zt.Util.degToRad(vwe[e]||0);var n=(zt.Util.radToDeg(t)%360+360)%360;return zt.Util._inRange(n,315+22.5,360)||zt.Util._inRange(n,0,22.5)?"ns-resize":zt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":zt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":zt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":zt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":zt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":zt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":zt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(zt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var e_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],ak=1e8;function Swe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function wz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function wwe(e,t){const n=Swe(e);return wz(e,t,n)}function xwe(e,t,n){let r=t;for(let i=0;ii.isAncestorOf(this)?(zt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(ywe.map(a=>a+`.${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.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(sk),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(sk,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=($o.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={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 wz(d,-$o.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-ak,y:-ak,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],p=u.getAbsoluteTransform();f.forEach(function(g){var m=p.point(g);n.push(m)})});const r=new zt.Transform;r.rotate(-$o.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.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:$o.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),e_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new pwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:_we?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=$o.Konva.getAngle(this.rotation()),o=bwe(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 hwe.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()*zt.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 d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let U=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(U-=Math.PI);var p=$o.Konva.getAngle(this.rotation());const A=p+U,N=$o.Konva.getAngle(this.rotationSnapTolerance()),B=xwe(this.rotationSnaps(),A,N)-f.rotation,D=wwe(f,B);this._fitNodesInto(D,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{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(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{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()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.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(m){var v=y?{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(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(zt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(zt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new zt.Transform;if(s.rotate($o.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:zt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new zt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new zt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var p;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new zt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(p=f.getLayer())===null||p===void 0||p.batchDraw()}),this.rotation(zt.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(zt.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(f=>{f.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()*zt.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 d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(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=""),ok.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return ik.Node.prototype.toObject.call(this)}clone(t){var n=ik.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}TS.Transformer=Ct;function Cwe(e){return e instanceof Array||zt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){e_.indexOf(t)===-1&&zt.Util.warn("Unknown anchor name: "+t+". Available names are: "+e_.join(", "))}),e||[]}Ct.prototype.className="Transformer";(0,gwe._registerNode)(Ct);Ft.Factory.addGetterSetter(Ct,"enabledAnchors",e_,Cwe);Ft.Factory.addGetterSetter(Ct,"flipEnabled",!0,(0,lu.getBooleanValidator)());Ft.Factory.addGetterSetter(Ct,"resizeEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorSize",10,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotateEnabled",!0);Ft.Factory.addGetterSetter(Ct,"rotationSnaps",[]);Ft.Factory.addGetterSetter(Ct,"rotateAnchorOffset",50,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotationSnapTolerance",5,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"anchorStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"anchorFill","white");Ft.Factory.addGetterSetter(Ct,"anchorCornerRadius",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"borderStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderDash");Ft.Factory.addGetterSetter(Ct,"keepRatio",!0);Ft.Factory.addGetterSetter(Ct,"shiftBehavior","default");Ft.Factory.addGetterSetter(Ct,"centeredScaling",!1);Ft.Factory.addGetterSetter(Ct,"ignoreStroke",!1);Ft.Factory.addGetterSetter(Ct,"padding",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"node");Ft.Factory.addGetterSetter(Ct,"nodes");Ft.Factory.addGetterSetter(Ct,"boundBoxFunc");Ft.Factory.addGetterSetter(Ct,"anchorDragBoundFunc");Ft.Factory.addGetterSetter(Ct,"anchorStyleFunc");Ft.Factory.addGetterSetter(Ct,"shouldOverdrawWholeArea",!1);Ft.Factory.addGetterSetter(Ct,"useSingleNodeRotation",!0);Ft.Factory.backCompat(Ct,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Wedge=void 0;const AS=nt,Twe=rr,Ewe=rt,xz=ke,Awe=rt;class za extends Twe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Ewe.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)}}ES.Wedge=za;za.prototype.className="Wedge";za.prototype._centroid=!0;za.prototype._attrsAffectingSize=["radius"];(0,Awe._registerNode)(za);AS.Factory.addGetterSetter(za,"radius",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"angle",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"clockwise",!1);AS.Factory.backCompat(za,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Blur=void 0;const lk=nt,Pwe=fn,Rwe=ke;function uk(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Owe=[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],kwe=[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 Iwe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,p,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,G,U=t+t+1,A=r-1,N=i-1,F=t+1,B=F*(F+1)/2,D=new uk,V=null,j=D,q=null,Z=null,ee=Owe[t],ie=kwe[t];for(a=1;a>ie,M!==0?(M=255/M,n[d]=(p*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)>ie,M>0?(M=255/M,n[l]=(p*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+F)0&&Iwe(t,n)};PS.Blur=Mwe;lk.Factory.addGetterSetter(Pwe.Node,"blurRadius",0,(0,Rwe.getNumberValidator)(),lk.Factory.afterSetFilter);var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Brighten=void 0;const ck=nt,Nwe=fn,Lwe=ke,Dwe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i255?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};OS.Contrast=Bwe;dk.Factory.addGetterSetter($we.Node,"contrast",0,(0,Fwe.getNumberValidator)(),dk.Factory.afterSetFilter);var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Emboss=void 0;const ql=nt,IS=fn,Uwe=Sn,Cz=ke,zwe=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,d=l*4,f=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:Uwe.Util.error("Unknown emboss direction: "+r)}do{var p=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=p+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,G=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=G>255?255:G<0?0:G}else{var U=n-T;U<0?U=0:U>255&&(U=255),a[x]=a[x+1]=a[x+2]=U}}while(--v)}while(--f)};kS.Emboss=zwe;ql.Factory.addGetterSetter(IS.Node,"embossStrength",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossWhiteLevel",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossDirection","top-left",null,ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossBlend",!1,null,ql.Factory.afterSetFilter);var MS={};Object.defineProperty(MS,"__esModule",{value:!0});MS.Enhance=void 0;const fk=nt,Vwe=fn,jwe=ke;function Gx(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 Gwe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,p,g=this.enhance();if(g!==0){for(p=0;pi&&(i=o),l=t[p+1],la&&(a=l),f=t[p+2],fd&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),p=0;p_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;Cy?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;dt&&(S=y,C=0,T=-1),i=0;i=0&&g=0&&m=0&&g=0&&m=255*4?255:0}return s}function oxe(e,t,n){for(var 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GS={};Object.defineProperty(GS,"__esModule",{value:!0});GS.RGBA=void 0;const Dg=nt,HS=fn,_xe=ke,bxe=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;a255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(HS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(HS.Node,"blue",0,_xe.RGBComponent,Dg.Factory.afterSetFilter);Dg.Factory.addGetterSetter(HS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var WS={};Object.defineProperty(WS,"__esModule",{value:!0});WS.Sepia=void 0;const Sxe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r127&&(u=255-u),d>127&&(d=255-d),f>127&&(f=255-f),t[l]=u,t[l+1]=d,t[l+2]=f}while(--a)}while(--o)};qS.Solarize=wxe;var KS={};Object.defineProperty(KS,"__esModule",{value:!0});KS.Threshold=void 0;const vk=nt,xxe=fn,Cxe=ke,Txe=function(e){var 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0)||0)}snapToCursor(t){ps(n=>{const{drag:r}=this.getProps();if(!q0(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]-vn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!$d(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=eAe({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ps(s=>{if(!q0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(vn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;uAe.set(this.visualElement,this);const t=this.visualElement.current,n=wa(t,"pointerdown",l=>{const{drag:u,dragListener:d=!0}=this.getProps();u&&d&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();$d(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=ya(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(ps(d=>{const f=this.getAxisMotionValue(d);f&&(this.originPoint[d]+=l[d].translate,f.set(f.get()+l[d].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=L5,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function q0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function dAe(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class fAe extends uu{constructor(t){super(t),this.removeGroupControls=Gn,this.removeListeners=Gn,this.controls=new cAe(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||Gn}unmount(){this.removeGroupControls(),this.removeListeners()}}const II=e=>(t,n)=>{e&&dn.update(()=>e(t,n))};class hAe extends uu{constructor(){super(...arguments),this.removePointerDownListener=Gn}onPointerDown(t){this.session=new Sj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:II(t),onStart:II(n),onMove:r,onEnd:(o,s)=>{delete 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o=Xl.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=vn(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 yAe extends Lt.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;CTe(vAe),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()})),kv.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()||dn.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 Aj(e){const[t,n]=pAe(),r=L.useContext(XE);return Lt.createElement(yAe,{...e,layoutGroup:r,switchLayoutGroup:L.useContext(wV),isPresent:t,safeToRemove:n})}const vAe={borderRadius:{...op,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:op,borderTopRightRadius:op,borderBottomLeftRadius:op,borderBottomRightRadius:op,boxShadow:mAe},Pj=["TopLeft","TopRight","BottomLeft","BottomRight"],_Ae=Pj.length,NI=e=>typeof e=="string"?parseFloat(e):e,LI=e=>typeof e=="number"||Be.test(e);function bAe(e,t,n,r,i,o){i?(e.opacity=vn(0,n.opacity!==void 0?n.opacity:1,SAe(r)),e.opacityExit=vn(t.opacity!==void 0?t.opacity:1,0,wAe(r))):o&&(e.opacity=vn(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<_Ae;s++){const a=`border${Pj[s]}Radius`;let l=DI(t,a),u=DI(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||LI(l)===LI(u)?(e[a]=Math.max(vn(NI(l),NI(u),r),0),(Is.test(u)||Is.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=vn(t.rotate||0,n.rotate||0,r))}function DI(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const SAe=Rj(0,.5,o6),wAe=Rj(.5,.95,Gn);function Rj(e,t,n){return r=>rt?1:n(jg(e,t,r))}function $I(e,t){e.min=t.min,e.max=t.max}function fo(e,t){$I(e.x,t.x),$I(e.y,t.y)}function FI(e,t,n,r,i){return e-=t,e=g_(e,1/n,r),i!==void 0&&(e=g_(e,1/i,r)),e}function xAe(e,t=0,n=1,r=.5,i,o=e,s=e){if(Is.test(t)&&(t=parseFloat(t),t=vn(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=vn(o.min,o.max,r);e===o&&(a-=t),e.min=FI(e.min,t,n,a,i),e.max=FI(e.max,t,n,a,i)}function BI(e,t,[n,r,i],o,s){xAe(e,t[n],t[r],t[i],t.scale,o,s)}const CAe=["x","scaleX","originX"],TAe=["y","scaleY","originY"];function UI(e,t,n,r){BI(e.x,t,CAe,n?n.x:void 0,r?r.x:void 0),BI(e.y,t,TAe,n?n.y:void 0,r?r.y:void 0)}function zI(e){return e.translate===0&&e.scale===1}function Oj(e){return zI(e.x)&&zI(e.y)}function F5(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function VI(e){return Xi(e.x)/Xi(e.y)}class EAe{constructor(){this.members=[]}add(t){c6(this.members,t),t.scheduleRender()}remove(t){if(d6(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function jI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const AAe=(e,t)=>e.depth-t.depth;class PAe{constructor(){this.children=[],this.isDirty=!1}add(t){c6(this.children,t),this.isDirty=!0}remove(t){d6(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(AAe),this.isDirty=!1,this.children.forEach(t)}}function RAe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(Ia(r),e(o-t))};return dn.read(r,!0),()=>Ia(r)}function OAe(e){window.MotionDebug&&window.MotionDebug.record(e)}function kAe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function IAe(e,t,n){const r=ki(e)?e:Mf(e);return r.start(u6("",r,t,n)),r.animation}const GI=["","X","Y","Z"],HI=1e3;let MAe=0;const Ou={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function kj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=MAe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ou.totalNodes=Ou.resolvedTargetDeltas=Ou.recalculatedProjection=0,this.nodes.forEach(DAe),this.nodes.forEach(zAe),this.nodes.forEach(VAe),this.nodes.forEach($Ae),OAe(Ou)},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;lthis.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,f&&f(),f=RAe(p,250),kv.hasAnimatedSinceResize&&(kv.hasAnimatedSinceResize=!1,this.nodes.forEach(qI))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&d&&(l||u)&&this.addEventListener("didUpdate",({delta:f,hasLayoutChanged:p,hasRelativeTargetChanged:g,layout:m})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const v=this.options.transition||d.getDefaultTransition()||qAe,{onLayoutAnimationStart:x,onLayoutAnimationComplete:_}=d.getProps(),b=!this.targetLayout||!F5(this.targetLayout,m)||g,y=!p&&g;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||y||p&&(b||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(f,y);const S={...yj(v,"layout"),onPlay:x,onComplete:_};(d.shouldReduceMotion||this.options.layoutRoot)&&(S.delay=0,S.type=!1),this.startAnimation(S)}else p||qI(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=m})}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,Ia(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(jAe),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 d=0;dthis.update()))}clearAllSnapshots(){this.nodes.forEach(FAe),this.sharedNodes.forEach(GAe)}scheduleUpdateProjection(){dn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){dn.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{const C=S/1e3;KI(f.x,s.x,C),KI(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Mp(p,this.layout.layoutBox,this.relativeParent.layout.layoutBox),HAe(this.relativeTarget,this.relativeTargetOrigin,p,C),y&&F5(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Bn()),fo(y,this.relativeTarget)),v&&(this.animationValues=d,bAe(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},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&&(Ia(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=dn.update(()=>{kv.hasAnimatedSinceResize=!0,this.currentAnimation=IAe(0,HI,{...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(HI),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Ij(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Bn();const f=Xi(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const p=Xi(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+p}fo(a,l),Ud(a,d),Ip(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new EAe),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 d=0;d{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(WI),this.root.sharedNodes.clear()}}}function NAe(e){e.updateLayout()}function LAe(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"?ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(p);p.min=r[f].min,p.max=p.min+g}):Ij(o,n.layoutBox,r)&&ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(r[f]);p.max=p.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Bd();Ip(a,r,n.layoutBox);const l=Bd();s?Ip(l,e.applyTransform(i,!0),n.measuredBox):Ip(l,r,n.layoutBox);const u=!Oj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:p,layout:g}=f;if(p&&g){const m=Bn();Mp(m,n.layoutBox,p.layoutBox);const v=Bn();Mp(v,r,g.layoutBox),F5(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function DAe(e){Ou.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 $Ae(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function FAe(e){e.clearSnapshot()}function WI(e){e.clearMeasurements()}function BAe(e){e.isLayoutDirty=!1}function UAe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function qI(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function zAe(e){e.resolveTargetDelta()}function VAe(e){e.calcProjection()}function jAe(e){e.resetRotation()}function GAe(e){e.removeLeadSnapshot()}function KI(e,t,n){e.translate=vn(t.translate,0,n),e.scale=vn(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function XI(e,t,n,r){e.min=vn(t.min,n.min,r),e.max=vn(t.max,n.max,r)}function HAe(e,t,n,r){XI(e.x,t.x,n.x,r),XI(e.y,t.y,n.y,r)}function WAe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const qAe={duration:.45,ease:[.4,0,.1,1]};function YI(e){e.min=Math.round(e.min*2)/2,e.max=Math.round(e.max*2)/2}function KAe(e){YI(e.x),YI(e.y)}function Ij(e,t,n){return e==="position"||e==="preserve-aspect"&&!N5(VI(t),VI(n),.2)}const 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er;(function(e){e.DragStart="dragStart",e.DragMove="dragMove",e.DragEnd="dragEnd",e.DragCancel="dragCancel",e.DragOver="dragOver",e.RegisterDroppable="registerDroppable",e.SetDroppableDisabled="setDroppableDisabled",e.UnregisterDroppable="unregisterDroppable"})(er||(er={}));function S_(){}function l7(e,t){return L.useMemo(()=>({sensor:e,options:t??{}}),[e,t])}function _8e(){for(var e=arguments.length,t=new Array(e),n=0;n[...t].filter(r=>r!=null),[...t])}const ns=Object.freeze({x:0,y:0});function b8e(e,t){return Math.sqrt(Math.pow(e.x-t.x,2)+Math.pow(e.y-t.y,2))}function S8e(e,t){const n=qg(e);if(!n)return"0 0";const r={x:(n.x-t.left)/t.width*100,y:(n.y-t.top)/t.height*100};return r.x+"% "+r.y+"%"}function w8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return n-r}function x8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return r-n}function C8e(e){let{left:t,top:n,height:r,width:i}=e;return[{x:t,y:n},{x:t+i,y:n},{x:t,y:n+r},{x:t+i,y:n+r}]}function T8e(e,t){if(!e||e.length===0)return null;const[n]=e;return t?n[t]:n}function E8e(e,t){const n=Math.max(t.top,e.top),r=Math.max(t.left,e.left),i=Math.min(t.left+t.width,e.left+e.width),o=Math.min(t.top+t.height,e.top+e.height),s=i-r,a=o-n;if(r{let{collisionRect:t,droppableRects:n,droppableContainers:r}=e;const i=[];for(const o of r){const{id:s}=o,a=n.get(s);if(a){const l=E8e(a,t);l>0&&i.push({id:s,data:{droppableContainer:o,value:l}})}}return i.sort(x8e)};function P8e(e,t){const{top:n,left:r,bottom:i,right:o}=t;return n<=e.y&&e.y<=i&&r<=e.x&&e.x<=o}const R8e=e=>{let{droppableContainers:t,droppableRects:n,pointerCoordinates:r}=e;if(!r)return[];const i=[];for(const o of t){const{id:s}=o,a=n.get(s);if(a&&P8e(r,a)){const u=C8e(a).reduce((f,p)=>f+b8e(r,p),0),d=Number((u/4).toFixed(4));i.push({id:s,data:{droppableContainer:o,value:d}})}}return i.sort(w8e)};function O8e(e,t,n){return{...e,scaleX:t&&n?t.width/n.width:1,scaleY:t&&n?t.height/n.height:1}}function Yj(e,t){return e&&t?{x:e.left-t.left,y:e.top-t.top}:ns}function 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n=e.getBoundingClientRect();if(t.ignoreTransform){const{transform:u,transformOrigin:d}=hi(e).getComputedStyle(e);u&&(n=M8e(n,u,d))}const{top:r,left:i,width:o,height:s,bottom:a,right:l}=n;return{top:r,left:i,width:o,height:s,bottom:a,right:l}}function u7(e){return Vm(e,{ignoreTransform:!0})}function L8e(e){const t=e.innerWidth,n=e.innerHeight;return{top:0,left:0,right:t,bottom:n,width:t,height:n}}function D8e(e,t){return t===void 0&&(t=hi(e).getComputedStyle(e)),t.position==="fixed"}function $8e(e,t){t===void 0&&(t=hi(e).getComputedStyle(e));const n=/(auto|scroll|overlay)/;return["overflow","overflowX","overflowY"].some(i=>{const o=t[i];return typeof o=="string"?n.test(o):!1})}function _6(e,t){const n=[];function r(i){if(t!=null&&n.length>=t||!i)return n;if(y6(i)&&i.scrollingElement!=null&&!n.includes(i.scrollingElement))return n.push(i.scrollingElement),n;if(!Um(i)||i8e(i)||n.includes(i))return n;const o=hi(e).getComputedStyle(i);return i!==e&&$8e(i,o)&&n.push(i),D8e(i,o)?n:r(i.parentNode)}return e?r(e):n}function Zj(e){const[t]=_6(e,1);return t??null}function dC(e){return!u2||!e?null:Yf(e)?e:m6(e)?y6(e)||e===Qf(e).scrollingElement?window:Um(e)?e:null:null}function Jj(e){return Yf(e)?e.scrollX:e.scrollLeft}function eG(e){return Yf(e)?e.scrollY:e.scrollTop}function K5(e){return{x:Jj(e),y:eG(e)}}var fr;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(fr||(fr={}));function tG(e){return!u2||!e?!1:e===document.scrollingElement}function nG(e){const t={x:0,y:0},n=tG(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const F8e={x:.2,y:.2};function B8e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=F8e);const{isTop:u,isBottom:d,isLeft:f,isRight:p}=nG(e),g={x:0,y:0},m={x:0,y:0},v={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+v.height?(g.y=fr.Backward,m.y=r*Math.abs((t.top+v.height-o)/v.height)):!d&&l>=t.bottom-v.height&&(g.y=fr.Forward,m.y=r*Math.abs((t.bottom-v.height-l)/v.height)),!p&&a>=t.right-v.width?(g.x=fr.Forward,m.x=r*Math.abs((t.right-v.width-a)/v.width)):!f&&s<=t.left+v.width&&(g.x=fr.Backward,m.x=r*Math.abs((t.left+v.width-s)/v.width)),{direction:g,speed:m}}function U8e(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function rG(e){return e.reduce((t,n)=>uf(t,K5(n)),ns)}function z8e(e){return e.reduce((t,n)=>t+Jj(n),0)}function V8e(e){return e.reduce((t,n)=>t+eG(n),0)}function iG(e,t){if(t===void 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G8e(e){const{EventTarget:t}=hi(e);return e instanceof t?e:Qf(e)}function fC(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var po;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(po||(po={}));function c7(e){e.preventDefault()}function H8e(e){e.stopPropagation()}var Qt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(Qt||(Qt={}));const oG={start:[Qt.Space,Qt.Enter],cancel:[Qt.Esc],end:[Qt.Space,Qt.Enter]},W8e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case Qt.Right:return{...n,x:n.x+25};case Qt.Left:return{...n,x:n.x-25};case Qt.Down:return{...n,y:n.y+25};case Qt.Up:return{...n,y:n.y-25}}};class sG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Np(Qf(n)),this.windowListeners=new Np(hi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(po.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&iG(r),n(ns)}handleKeyDown(t){if(v6(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=oG,coordinateGetter:s=W8e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ns;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const p=b_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=nG(v),E=U8e(v),P={x:Math.min(x===Qt.Right?E.right-E.width/2:E.right,Math.max(x===Qt.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===Qt.Down?E.bottom-E.height/2:E.bottom,Math.max(x===Qt.Down?E.top:E.top+E.height/2,f.y))},k=x===Qt.Right&&!b||x===Qt.Left&&!y,O=x===Qt.Down&&!S||x===Qt.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+p.x,G=x===Qt.Right&&M<=C.x||x===Qt.Left&&M>=T.x;if(G&&!p.y){v.scrollTo({left:M,behavior:a});return}G?g.x=v.scrollLeft-M:g.x=x===Qt.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const M=v.scrollTop+p.y,G=x===Qt.Down&&M<=C.y||x===Qt.Up&&M>=T.y;if(G&&!p.x){v.scrollTo({top:M,behavior:a});return}G?g.y=v.scrollTop-M:g.y=x===Qt.Down?v.scrollTop-C.y:v.scrollTop-T.y,g.y&&v.scrollBy({top:-g.y,behavior:a});break}}this.handleMove(t,uf(b_(f,this.referenceCoordinates),g))}}}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()}}sG.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=oG,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 d7(e){return!!(e&&"distance"in e)}function f7(e){return!!(e&&"delay"in e)}class S6{constructor(t,n,r){var i;r===void 0&&(r=G8e(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=Qf(s),this.documentListeners=new Np(this.document),this.listeners=new Np(r),this.windowListeners=new Np(hi(s)),this.initialCoordinates=(i=qg(o))!=null?i:ns,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(po.Resize,this.handleCancel),this.windowListeners.add(po.DragStart,c7),this.windowListeners.add(po.VisibilityChange,this.handleCancel),this.windowListeners.add(po.ContextMenu,c7),this.documentListeners.add(po.Keydown,this.handleKeydown),n){if(d7(n))return;if(f7(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(po.Click,H8e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(po.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=qg(t))!=null?n:ns,u=b_(i,l);if(!r&&a){if(f7(a))return fC(u,a.tolerance)?this.handleCancel():void 0;if(d7(a))return a.tolerance!=null&&fC(u,a.tolerance)?this.handleCancel():fC(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===Qt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const q8e={move:{name:"pointermove"},end:{name:"pointerup"}};class aG extends S6{constructor(t){const{event:n}=t,r=Qf(n.target);super(t,q8e,r)}}aG.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 K8e={move:{name:"mousemove"},end:{name:"mouseup"}};var X5;(function(e){e[e.RightClick=2]="RightClick"})(X5||(X5={}));class lG extends S6{constructor(t){super(t,K8e,Qf(t.event.target))}}lG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===X5.RightClick?!1:(r==null||r({event:n}),!0)}}];const hC={move:{name:"touchmove"},end:{name:"touchend"}};class uG extends S6{constructor(t){super(t,hC)}static setup(){return window.addEventListener(hC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(hC.move.name,t)};function t(){}}}uG.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 Lp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Lp||(Lp={}));var w_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(w_||(w_={}));function X8e(e){let{acceleration:t,activator:n=Lp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=w_.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:d,delta:f,threshold:p}=e;const g=Q8e({delta:f,disabled:!o}),[m,v]=o8e(),x=L.useRef({x:0,y:0}),_=L.useRef({x:0,y:0}),b=L.useMemo(()=>{switch(n){case Lp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Lp.DraggableRect:return i}},[n,i,l]),y=L.useRef(null),S=L.useCallback(()=>{const T=y.current;if(!T)return;const E=x.current.x*_.current.x,P=x.current.y*_.current.y;T.scrollBy(E,P)},[]),C=L.useMemo(()=>a===w_.TreeOrder?[...u].reverse():u,[a,u]);L.useEffect(()=>{if(!o||!u.length||!b){v();return}for(const T of C){if((r==null?void 0:r(T))===!1)continue;const E=u.indexOf(T),P=d[E];if(!P)continue;const{direction:k,speed:O}=B8e(T,P,b,t,p);for(const M 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Vs=L.useMemo(()=>({active:U,activeNode:le,activeNodeRect:pe,activatorEvent:B,collisions:qn,containerNodeRect:ve,dragOverlay:Me,draggableNodes:P,droppableContainers:O,droppableRects:ee,over:Gt,measureDroppableContainers:ie,scrollableAncestors:Bt,scrollableAncestorRects:it,measuringConfiguration:Z,measuringScheduled:se,windowRect:Wn}),[U,le,pe,B,qn,ve,Me,P,O,ee,Gt,ie,Bt,it,Z,se,Wn]),Ji=L.useMemo(()=>({activatorEvent:B,activators:Yr,active:U,activeNodeRect:pe,ariaDescribedById:{draggable:j},dispatch:_,draggableNodes:P,over:Gt,measureDroppableContainers:ie}),[B,Yr,U,pe,_,j,P,Gt,ie]);return Lt.createElement(Xj.Provider,{value:y},Lt.createElement(jm.Provider,{value:Ji},Lt.createElement(hG.Provider,{value:Vs},Lt.createElement(h2.Provider,{value:Xr},u)),Lt.createElement(m9e,{disabled:(a==null?void 0:a.restoreFocus)===!1})),Lt.createElement(v8e,{...a,hiddenTextDescribedById:j}));function js(){const Xt=(N==null?void 0:N.autoScrollEnabled)===!1,kt=typeof 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as F,Vr as G,Zr as H,L as I,Fr as J,Hr as K,Wr as L,Br 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,Cr as i,W as j,Le as k,pn as l,gn as m,P as n,tn as o,rn as p,Dr as q,E as r,Qr 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 32d631cc03..f365c2b718 100644 --- a/invokeai/frontend/web/dist/index.html +++ b/invokeai/frontend/web/dist/index.html @@ -12,7 +12,7 @@ margin: 0; } - + diff --git a/invokeai/frontend/web/dist/locales/en.json b/invokeai/frontend/web/dist/locales/en.json index 63380a19fa..fbae5b4a30 100644 --- a/invokeai/frontend/web/dist/locales/en.json +++ b/invokeai/frontend/web/dist/locales/en.json @@ -503,6 +503,9 @@ "hiresStrength": "High Res Strength", "imageFit": "Fit Initial Image To Output Size", "codeformerFidelity": "Fidelity", + "maskAdjustmentsHeader": "Mask Adjustments", + "maskBlur": "Mask Blur", + "maskBlurMethod": "Mask Blur Method", "seamSize": "Seam Size", "seamBlur": "Seam Blur", "seamStrength": "Seam Strength", diff --git a/invokeai/frontend/web/package.json b/invokeai/frontend/web/package.json index 8cc2c158be..6c9db74bbc 100644 --- a/invokeai/frontend/web/package.json +++ b/invokeai/frontend/web/package.json @@ -61,6 +61,7 @@ "@dagrejs/graphlib": "^2.1.13", "@dnd-kit/core": "^6.0.8", "@dnd-kit/modifiers": "^6.0.1", + "@dnd-kit/utilities": "^3.2.1", "@emotion/react": "^11.11.1", "@emotion/styled": "^11.11.0", "@floating-ui/react-dom": "^2.0.1", diff --git a/invokeai/frontend/web/scripts/colors.js b/invokeai/frontend/web/scripts/colors.js new file mode 100644 index 0000000000..3fc8f8d751 --- /dev/null +++ b/invokeai/frontend/web/scripts/colors.js @@ -0,0 +1,34 @@ +export const COLORS = { + reset: '\x1b[0m', + bright: '\x1b[1m', + dim: '\x1b[2m', + underscore: '\x1b[4m', + blink: '\x1b[5m', + reverse: '\x1b[7m', + hidden: '\x1b[8m', + + fg: { + black: '\x1b[30m', + red: '\x1b[31m', + green: '\x1b[32m', + yellow: '\x1b[33m', + blue: '\x1b[34m', + magenta: '\x1b[35m', + cyan: '\x1b[36m', + white: '\x1b[37m', + gray: '\x1b[90m', + crimson: '\x1b[38m', + }, + bg: { + black: '\x1b[40m', + red: '\x1b[41m', + green: '\x1b[42m', + yellow: '\x1b[43m', + blue: '\x1b[44m', + magenta: '\x1b[45m', + cyan: '\x1b[46m', + white: '\x1b[47m', + gray: '\x1b[100m', + crimson: '\x1b[48m', + }, +}; diff --git a/invokeai/frontend/web/scripts/typegen.js b/invokeai/frontend/web/scripts/typegen.js index ec67c48f2d..d105917e66 100644 --- a/invokeai/frontend/web/scripts/typegen.js +++ b/invokeai/frontend/web/scripts/typegen.js @@ -1,23 +1,83 @@ import fs from 'node:fs'; import openapiTS from 'openapi-typescript'; +import { COLORS } from './colors.js'; const OPENAPI_URL = 'http://127.0.0.1:9090/openapi.json'; const OUTPUT_FILE = 'src/services/api/schema.d.ts'; async function main() { process.stdout.write( - `Generating types "${OPENAPI_URL}" --> "${OUTPUT_FILE}"...` + `Generating types "${OPENAPI_URL}" --> "${OUTPUT_FILE}"...\n\n` ); const types = await openapiTS(OPENAPI_URL, { exportType: true, - transform: (schemaObject) => { + transform: (schemaObject, metadata) => { if ('format' in schemaObject && schemaObject.format === 'binary') { return schemaObject.nullable ? 'Blob | null' : 'Blob'; } + + /** + * Because invocations may have required fields that accept connection input, the generated + * types may be incorrect. + * + * For example, the ImageResizeInvocation has a required `image` field, but because it accepts + * connection input, it should be optional on instantiation of the field. + * + * To handle this, the schema exposes an `input` property that can be used to determine if the + * field accepts connection input. If it does, we can make the field optional. + */ + + // Check if we are generating types for an invocation + const isInvocationPath = metadata.path.match( + /^#\/components\/schemas\/\w*Invocation$/ + ); + + const hasInvocationProperties = + schemaObject.properties && + ['id', 'is_intermediate', 'type'].every( + (prop) => prop in schemaObject.properties + ); + + if (isInvocationPath && hasInvocationProperties) { + // We only want to make fields optional if they are required + if (!Array.isArray(schemaObject?.required)) { + schemaObject.required = ['id', 'type']; + return; + } + + schemaObject.required.forEach((prop) => { + const acceptsConnection = ['any', 'connection'].includes( + schemaObject.properties?.[prop]?.['input'] + ); + + if (acceptsConnection) { + // remove this prop from the required array + const invocationName = metadata.path.split('/').pop(); + console.log( + `Making connectable field optional: ${COLORS.fg.green}${invocationName}.${COLORS.fg.cyan}${prop}${COLORS.reset}` + ); + schemaObject.required = schemaObject.required.filter( + (r) => r !== prop + ); + } + }); + + schemaObject.required = [ + ...new Set(schemaObject.required.concat(['id', 'type'])), + ]; + + return; + } + // if ( + // 'input' in schemaObject && + // (schemaObject.input === 'any' || schemaObject.input === 'connection') + // ) { + // schemaObject.required = false; + // } }, }); fs.writeFileSync(OUTPUT_FILE, types); - process.stdout.write(` OK!\r\n`); + process.stdout.write(`\nOK!\r\n`); } main(); diff --git a/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts b/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts index 9827e7f2b3..bbe77dc698 100644 --- a/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts +++ b/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts @@ -1,8 +1,12 @@ import { createSelector } from '@reduxjs/toolkit'; -import { RootState } from 'app/store/store'; +import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { requestCanvasRescale } from 'features/canvas/store/thunks/requestCanvasScale'; -import { shiftKeyPressed } from 'features/ui/store/hotkeysSlice'; +import { + ctrlKeyPressed, + metaKeyPressed, + shiftKeyPressed, +} from 'features/ui/store/hotkeysSlice'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { setActiveTab, @@ -16,11 +20,11 @@ import React, { memo } from 'react'; import { isHotkeyPressed, useHotkeys } from 'react-hotkeys-hook'; const globalHotkeysSelector = createSelector( - [(state: RootState) => state.hotkeys, (state: RootState) => state.ui], - (hotkeys, ui) => { - const { shift } = hotkeys; + [stateSelector], + ({ hotkeys, ui }) => { + const { shift, ctrl, meta } = hotkeys; const { shouldPinParametersPanel, shouldPinGallery } = ui; - return { shift, shouldPinGallery, shouldPinParametersPanel }; + return { shift, ctrl, meta, shouldPinGallery, shouldPinParametersPanel }; }, { memoizeOptions: { @@ -37,9 +41,8 @@ const globalHotkeysSelector = createSelector( */ const GlobalHotkeys: React.FC = () => { const dispatch = useAppDispatch(); - const { shift, shouldPinParametersPanel, shouldPinGallery } = useAppSelector( - globalHotkeysSelector - ); + const { shift, ctrl, meta, shouldPinParametersPanel, shouldPinGallery } = + useAppSelector(globalHotkeysSelector); const activeTabName = useAppSelector(activeTabNameSelector); useHotkeys( @@ -50,9 +53,19 @@ const GlobalHotkeys: React.FC = () => { } else { shift && dispatch(shiftKeyPressed(false)); } + if (isHotkeyPressed('ctrl')) { + !ctrl && dispatch(ctrlKeyPressed(true)); + } else { + ctrl && dispatch(ctrlKeyPressed(false)); + } + if (isHotkeyPressed('meta')) { + !meta && dispatch(metaKeyPressed(true)); + } else { + meta && dispatch(metaKeyPressed(false)); + } }, { keyup: true, keydown: true }, - [shift] + [shift, ctrl, meta] ); useHotkeys('o', () => { diff --git a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx index 93b7825db7..7e2ed7f571 100644 --- a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx +++ b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx @@ -14,7 +14,7 @@ import { $authToken, $baseUrl, $projectId } from 'services/api/client'; import { socketMiddleware } from 'services/events/middleware'; import Loading from '../../common/components/Loading/Loading'; import '../../i18n'; -import ImageDndContext from './ImageDnd/ImageDndContext'; +import AppDndContext from '../../features/dnd/components/AppDndContext'; const App = lazy(() => import('./App')); const ThemeLocaleProvider = lazy(() => import('./ThemeLocaleProvider')); @@ -80,9 +80,9 @@ const InvokeAIUI = ({ }> - + - + diff --git a/invokeai/frontend/web/src/app/logging/logger.ts b/invokeai/frontend/web/src/app/logging/logger.ts index ef27c98d1f..7797b8dc92 100644 --- a/invokeai/frontend/web/src/app/logging/logger.ts +++ b/invokeai/frontend/web/src/app/logging/logger.ts @@ -19,7 +19,8 @@ type LoggerNamespace = | 'nodes' | 'system' | 'socketio' - | 'session'; + | 'session' + | 'dnd'; export const logger = (namespace: LoggerNamespace) => $logger.get().child({ namespace }); diff --git a/invokeai/frontend/web/src/app/store/middleware/devtools/actionsDenylist.ts b/invokeai/frontend/web/src/app/store/middleware/devtools/actionsDenylist.ts index 6d41d488c8..a596fce931 100644 --- a/invokeai/frontend/web/src/app/store/middleware/devtools/actionsDenylist.ts +++ b/invokeai/frontend/web/src/app/store/middleware/devtools/actionsDenylist.ts @@ -15,7 +15,7 @@ export const actionsDenylist = [ 'socket/socketGeneratorProgress', 'socket/appSocketGeneratorProgress', // every time user presses shift - 'hotkeys/shiftKeyPressed', + // 'hotkeys/shiftKeyPressed', // this happens after every state change '@@REMEMBER_PERSISTED', ]; 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 c15b072a07..abb17d1eec 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts @@ -15,6 +15,7 @@ import { addDeleteBoardAndImagesFulfilledListener } from './listeners/boardAndIm import { addBoardIdSelectedListener } from './listeners/boardIdSelected'; import { addCanvasCopiedToClipboardListener } from './listeners/canvasCopiedToClipboard'; import { addCanvasDownloadedAsImageListener } from './listeners/canvasDownloadedAsImage'; +import { addCanvasMaskSavedToGalleryListener } from './listeners/canvasMaskSavedToGallery'; import { addCanvasMergedListener } from './listeners/canvasMerged'; import { addCanvasSavedToGalleryListener } from './listeners/canvasSavedToGallery'; import { addControlNetAutoProcessListener } from './listeners/controlNetAutoProcess'; @@ -27,8 +28,8 @@ import { addImageDeletedFulfilledListener, addImageDeletedPendingListener, addImageDeletedRejectedListener, - addRequestedSingleImageDeletionListener, addRequestedMultipleImageDeletionListener, + addRequestedSingleImageDeletionListener, } from './listeners/imageDeleted'; import { addImageDroppedListener } from './listeners/imageDropped'; import { @@ -79,6 +80,8 @@ import { addUserInvokedCanvasListener } from './listeners/userInvokedCanvas'; import { addUserInvokedImageToImageListener } from './listeners/userInvokedImageToImage'; import { addUserInvokedNodesListener } from './listeners/userInvokedNodes'; import { addUserInvokedTextToImageListener } from './listeners/userInvokedTextToImage'; +import { addImagesStarredListener } from './listeners/imagesStarred'; +import { addImagesUnstarredListener } from './listeners/imagesUnstarred'; export const listenerMiddleware = createListenerMiddleware(); @@ -120,6 +123,10 @@ addImageDeletedRejectedListener(); addDeleteBoardAndImagesFulfilledListener(); addImageToDeleteSelectedListener(); +// Image starred +addImagesStarredListener(); +addImagesUnstarredListener(); + // User Invoked addUserInvokedCanvasListener(); addUserInvokedNodesListener(); @@ -129,6 +136,7 @@ addSessionReadyToInvokeListener(); // Canvas actions addCanvasSavedToGalleryListener(); +addCanvasMaskSavedToGalleryListener(); addCanvasDownloadedAsImageListener(); addCanvasCopiedToClipboardListener(); addCanvasMergedListener(); 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 new file mode 100644 index 0000000000..e701b93352 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts @@ -0,0 +1,60 @@ +import { logger } from 'app/logging/logger'; +import { canvasMaskSavedToGallery } from 'features/canvas/store/actions'; +import { getCanvasData } from 'features/canvas/util/getCanvasData'; +import { addToast } from 'features/system/store/systemSlice'; +import { imagesApi } from 'services/api/endpoints/images'; +import { startAppListening } from '..'; + +export const addCanvasMaskSavedToGalleryListener = () => { + startAppListening({ + actionCreator: canvasMaskSavedToGallery, + effect: async (action, { dispatch, getState }) => { + const log = logger('canvas'); + const state = getState(); + + const canvasBlobsAndImageData = await getCanvasData( + state.canvas.layerState, + state.canvas.boundingBoxCoordinates, + state.canvas.boundingBoxDimensions, + state.canvas.isMaskEnabled, + state.canvas.shouldPreserveMaskedArea + ); + + if (!canvasBlobsAndImageData) { + return; + } + + const { maskBlob } = canvasBlobsAndImageData; + + if (!maskBlob) { + log.error('Problem getting mask layer blob'); + dispatch( + addToast({ + title: 'Problem Saving Mask', + description: 'Unable to export mask', + status: 'error', + }) + ); + return; + } + + const { autoAddBoardId } = state.gallery; + + dispatch( + imagesApi.endpoints.uploadImage.initiate({ + file: new File([maskBlob], 'canvasMaskImage.png', { + type: 'image/png', + }), + image_category: 'mask', + is_intermediate: false, + board_id: autoAddBoardId === 'none' ? undefined : autoAddBoardId, + crop_visible: true, + postUploadAction: { + type: 'TOAST', + toastOptions: { title: 'Mask Saved to Assets' }, + }, + }) + ); + }, + }); +}; 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 043105cb66..fc0b44653d 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 @@ -1,16 +1,20 @@ import { createAction } from '@reduxjs/toolkit'; -import { - TypesafeDraggableData, - TypesafeDroppableData, -} from 'app/components/ImageDnd/typesafeDnd'; import { logger } from 'app/logging/logger'; import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice'; import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice'; +import { + TypesafeDraggableData, + TypesafeDroppableData, +} from 'features/dnd/types'; import { imageSelected } from 'features/gallery/store/gallerySlice'; -import { fieldValueChanged } from 'features/nodes/store/nodesSlice'; +import { + fieldImageValueChanged, + workflowExposedFieldAdded, +} from 'features/nodes/store/nodesSlice'; 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; @@ -21,7 +25,7 @@ export const addImageDroppedListener = () => { startAppListening({ actionCreator: dndDropped, effect: async (action, { dispatch }) => { - const log = logger('images'); + const log = logger('dnd'); const { activeData, overData } = action.payload; if (activeData.payloadType === 'IMAGE_DTO') { @@ -31,10 +35,28 @@ export const addImageDroppedListener = () => { { activeData, overData }, `Images (${activeData.payload.imageDTOs.length}) dropped` ); + } else if (activeData.payloadType === 'NODE_FIELD') { + log.debug( + { activeData: parseify(activeData), overData: parseify(overData) }, + 'Node field dropped' + ); } else { log.debug({ activeData, overData }, `Unknown payload dropped`); } + if ( + overData.actionType === 'ADD_FIELD_TO_LINEAR' && + activeData.payloadType === 'NODE_FIELD' + ) { + const { nodeId, field } = activeData.payload; + dispatch( + workflowExposedFieldAdded({ + nodeId, + fieldName: field.name, + }) + ); + } + /** * Image dropped on current image */ @@ -99,7 +121,7 @@ export const addImageDroppedListener = () => { ) { const { fieldName, nodeId } = overData.context; dispatch( - fieldValueChanged({ + fieldImageValueChanged({ nodeId, fieldName, value: activeData.payload.imageDTO, 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 6dc2d482a9..0c55908748 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 @@ -2,7 +2,7 @@ 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 { fieldValueChanged } from 'features/nodes/store/nodesSlice'; +import { fieldImageValueChanged } from 'features/nodes/store/nodesSlice'; import { initialImageChanged } from 'features/parameters/store/generationSlice'; import { addToast } from 'features/system/store/systemSlice'; import { omit } from 'lodash-es'; @@ -111,7 +111,9 @@ export const addImageUploadedFulfilledListener = () => { if (postUploadAction?.type === 'SET_NODES_IMAGE') { const { nodeId, fieldName } = postUploadAction; - dispatch(fieldValueChanged({ nodeId, fieldName, value: imageDTO })); + dispatch( + fieldImageValueChanged({ nodeId, fieldName, value: imageDTO }) + ); dispatch( addToast({ ...DEFAULT_UPLOADED_TOAST, diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts new file mode 100644 index 0000000000..5988eee207 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts @@ -0,0 +1,30 @@ +import { imagesApi } from 'services/api/endpoints/images'; +import { startAppListening } from '..'; +import { selectionChanged } from '../../../../../features/gallery/store/gallerySlice'; +import { ImageDTO } from '../../../../../services/api/types'; + +export const addImagesStarredListener = () => { + startAppListening({ + matcher: imagesApi.endpoints.starImages.matchFulfilled, + effect: async (action, { dispatch, getState }) => { + const { updated_image_names: starredImages } = action.payload; + + const state = getState(); + + const { selection } = state.gallery; + const updatedSelection: ImageDTO[] = []; + + selection.forEach((selectedImageDTO) => { + if (starredImages.includes(selectedImageDTO.image_name)) { + updatedSelection.push({ + ...selectedImageDTO, + starred: true, + }); + } else { + updatedSelection.push(selectedImageDTO); + } + }); + dispatch(selectionChanged(updatedSelection)); + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts new file mode 100644 index 0000000000..3df76861d4 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts @@ -0,0 +1,30 @@ +import { imagesApi } from 'services/api/endpoints/images'; +import { startAppListening } from '..'; +import { selectionChanged } from '../../../../../features/gallery/store/gallerySlice'; +import { ImageDTO } from '../../../../../services/api/types'; + +export const addImagesUnstarredListener = () => { + startAppListening({ + matcher: imagesApi.endpoints.unstarImages.matchFulfilled, + effect: async (action, { dispatch, getState }) => { + const { updated_image_names: unstarredImages } = action.payload; + + const state = getState(); + + const { selection } = state.gallery; + const updatedSelection: ImageDTO[] = []; + + selection.forEach((selectedImageDTO) => { + if (unstarredImages.includes(selectedImageDTO.image_name)) { + updatedSelection.push({ + ...selectedImageDTO, + starred: false, + }); + } else { + updatedSelection.push(selectedImageDTO); + } + }); + dispatch(selectionChanged(updatedSelection)); + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts index 436a58aa8e..4d30ee3b8b 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts @@ -15,12 +15,21 @@ import { setShouldUseSDXLRefiner, } from 'features/sdxl/store/sdxlSlice'; import { forEach, some } from 'lodash-es'; -import { modelsApi, vaeModelsAdapter } from 'services/api/endpoints/models'; +import { + mainModelsAdapter, + modelsApi, + vaeModelsAdapter, +} from 'services/api/endpoints/models'; +import { TypeGuardFor } from 'services/api/types'; import { startAppListening } from '..'; export const addModelsLoadedListener = () => { startAppListening({ - predicate: (state, action) => + predicate: ( + action + ): action is TypeGuardFor< + typeof modelsApi.endpoints.getMainModels.matchFulfilled + > => modelsApi.endpoints.getMainModels.matchFulfilled(action) && !action.meta.arg.originalArgs.includes('sdxl-refiner'), effect: async (action, { getState, dispatch }) => { @@ -32,29 +41,28 @@ export const addModelsLoadedListener = () => { ); const currentModel = getState().generation.model; + const models = mainModelsAdapter.getSelectors().selectAll(action.payload); - const isCurrentModelAvailable = some( - action.payload.entities, - (m) => - m?.model_name === currentModel?.model_name && - m?.base_model === currentModel?.base_model && - m?.model_type === currentModel?.model_type - ); - - if (isCurrentModelAvailable) { - return; - } - - const firstModelId = action.payload.ids[0]; - const firstModel = action.payload.entities[firstModelId]; - - if (!firstModel) { + if (models.length === 0) { // No models loaded at all dispatch(modelChanged(null)); return; } - const result = zMainOrOnnxModel.safeParse(firstModel); + const isCurrentModelAvailable = currentModel + ? models.some( + (m) => + m.model_name === currentModel.model_name && + m.base_model === currentModel.base_model && + m.model_type === currentModel.model_type + ) + : false; + + if (isCurrentModelAvailable) { + return; + } + + const result = zMainOrOnnxModel.safeParse(models[0]); if (!result.success) { log.error( @@ -68,7 +76,11 @@ export const addModelsLoadedListener = () => { }, }); startAppListening({ - predicate: (state, action) => + predicate: ( + action + ): action is TypeGuardFor< + typeof modelsApi.endpoints.getMainModels.matchFulfilled + > => modelsApi.endpoints.getMainModels.matchFulfilled(action) && action.meta.arg.originalArgs.includes('sdxl-refiner'), effect: async (action, { getState, dispatch }) => { @@ -80,30 +92,29 @@ export const addModelsLoadedListener = () => { ); const currentModel = getState().sdxl.refinerModel; + const models = mainModelsAdapter.getSelectors().selectAll(action.payload); - const isCurrentModelAvailable = some( - action.payload.entities, - (m) => - m?.model_name === currentModel?.model_name && - m?.base_model === currentModel?.base_model && - m?.model_type === currentModel?.model_type - ); - - if (isCurrentModelAvailable) { - return; - } - - const firstModelId = action.payload.ids[0]; - const firstModel = action.payload.entities[firstModelId]; - - if (!firstModel) { + if (models.length === 0) { // No models loaded at all dispatch(refinerModelChanged(null)); dispatch(setShouldUseSDXLRefiner(false)); return; } - const result = zSDXLRefinerModel.safeParse(firstModel); + const isCurrentModelAvailable = currentModel + ? models.some( + (m) => + m.model_name === currentModel.model_name && + m.base_model === currentModel.base_model && + m.model_type === currentModel.model_type + ) + : false; + + if (isCurrentModelAvailable) { + return; + } + + const result = zSDXLRefinerModel.safeParse(models[0]); if (!result.success) { log.error( 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 44729f215a..dd86c77735 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 @@ -13,7 +13,7 @@ export const addReceivedOpenAPISchemaListener = () => { const log = logger('system'); const schemaJSON = action.payload; - log.debug({ schemaJSON }, 'Dereferenced OpenAPI schema'); + log.debug({ schemaJSON }, 'Received OpenAPI schema'); const nodeTemplates = parseSchema(schemaJSON); @@ -28,9 +28,12 @@ export const addReceivedOpenAPISchemaListener = () => { startAppListening({ actionCreator: receivedOpenAPISchema.rejected, - effect: () => { + effect: (action) => { const log = logger('system'); - log.error('Problem dereferencing OpenAPI Schema'); + log.error( + { error: parseify(action.error) }, + 'Problem retrieving OpenAPI Schema' + ); }, }); }; 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 5b3b9424b6..5501f208fd 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 @@ -19,7 +19,7 @@ import { } from 'services/events/actions'; import { startAppListening } from '../..'; -const nodeDenylist = ['dataURL_image']; +const nodeDenylist = ['load_image']; export const addInvocationCompleteEventListener = () => { startAppListening({ 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 index 0c298cbb24..5894bba5df 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts @@ -15,7 +15,7 @@ export const addUserInvokedNodesListener = () => { const log = logger('session'); const state = getState(); - const graph = buildNodesGraph(state); + const graph = buildNodesGraph(state.nodes); dispatch(nodesGraphBuilt(graph)); log.debug({ graph: parseify(graph) }, 'Nodes graph built'); diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts index 827424fa7f..a39ed2ca7b 100644 --- a/invokeai/frontend/web/src/app/types/invokeai.ts +++ b/invokeai/frontend/web/src/app/types/invokeai.ts @@ -1,86 +1,7 @@ -import { - // CONTROLNET_MODELS, - CONTROLNET_PROCESSORS, -} from 'features/controlNet/store/constants'; +import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { InvokeTabName } from 'features/ui/store/tabMap'; import { O } from 'ts-toolbelt'; -// These are old types from the model management UI - -// export type ModelStatus = 'active' | 'cached' | 'not loaded'; - -// export type Model = { -// status: ModelStatus; -// description: string; -// weights: string; -// config?: string; -// vae?: string; -// width?: number; -// height?: number; -// default?: boolean; -// format?: string; -// }; - -// export type DiffusersModel = { -// status: ModelStatus; -// description: string; -// repo_id?: string; -// path?: string; -// vae?: { -// repo_id?: string; -// path?: string; -// }; -// format?: string; -// default?: boolean; -// }; - -// export type ModelList = Record; - -// export type FoundModel = { -// name: string; -// location: string; -// }; - -// export type InvokeModelConfigProps = { -// name: string | undefined; -// description: string | undefined; -// config: string | undefined; -// weights: string | undefined; -// vae: string | undefined; -// width: number | undefined; -// height: number | undefined; -// default: boolean | undefined; -// format: string | undefined; -// }; - -// export type InvokeDiffusersModelConfigProps = { -// name: string | undefined; -// description: string | undefined; -// repo_id: string | undefined; -// path: string | undefined; -// default: boolean | undefined; -// format: string | undefined; -// vae: { -// repo_id: string | undefined; -// path: string | undefined; -// }; -// }; - -// export type InvokeModelConversionProps = { -// model_name: string; -// save_location: string; -// custom_location: string | null; -// }; - -// export type InvokeModelMergingProps = { -// models_to_merge: string[]; -// alpha: number; -// interp: 'weighted_sum' | 'sigmoid' | 'inv_sigmoid' | 'add_difference'; -// force: boolean; -// merged_model_name: string; -// model_merge_save_path: string | null; -// }; - /** * A disable-able application feature */ diff --git a/invokeai/frontend/web/src/common/components/IAIContextMenu.tsx b/invokeai/frontend/web/src/common/components/IAIContextMenu.tsx new file mode 100644 index 0000000000..757faca866 --- /dev/null +++ b/invokeai/frontend/web/src/common/components/IAIContextMenu.tsx @@ -0,0 +1,126 @@ +/** + * This is a copy-paste of https://github.com/lukasbach/chakra-ui-contextmenu with a small change. + * + * The reactflow background element somehow prevents the chakra `useOutsideClick()` hook from working. + * With a menu open, clicking on the reactflow background element doesn't close the menu. + * + * Reactflow does provide an `onPaneClick` to handle clicks on the background element, but it is not + * straightforward to programatically close the menu. + * + * As a (hopefully temporary) workaround, we will use a dirty hack: + * - create `globalContextMenuCloseTrigger: number` in `ui` slice + * - increment it in `onPaneClick` + * - `useEffect()` to close the menu when `globalContextMenuCloseTrigger` changes + */ + +import { + Menu, + MenuButton, + MenuButtonProps, + MenuProps, + Portal, + PortalProps, + useEventListener, +} from '@chakra-ui/react'; +import { useAppSelector } from 'app/store/storeHooks'; +import * as React from 'react'; +import { + MutableRefObject, + useCallback, + useEffect, + useRef, + useState, +} from 'react'; + +export interface IAIContextMenuProps { + renderMenu: () => JSX.Element | null; + children: (ref: MutableRefObject) => JSX.Element | null; + menuProps?: Omit & { children?: React.ReactNode }; + portalProps?: Omit & { children?: React.ReactNode }; + menuButtonProps?: MenuButtonProps; +} + +export function IAIContextMenu( + props: IAIContextMenuProps +) { + const [isOpen, setIsOpen] = useState(false); + const [isRendered, setIsRendered] = useState(false); + const [isDeferredOpen, setIsDeferredOpen] = useState(false); + const [position, setPosition] = useState<[number, number]>([0, 0]); + const targetRef = useRef(null); + + const globalContextMenuCloseTrigger = useAppSelector( + (state) => state.ui.globalContextMenuCloseTrigger + ); + + useEffect(() => { + if (isOpen) { + setTimeout(() => { + setIsRendered(true); + setTimeout(() => { + setIsDeferredOpen(true); + }); + }); + } else { + setIsDeferredOpen(false); + const timeout = setTimeout(() => { + setIsRendered(isOpen); + }, 1000); + return () => clearTimeout(timeout); + } + }, [isOpen]); + + useEffect(() => { + setIsOpen(false); + setIsDeferredOpen(false); + setIsRendered(false); + }, [globalContextMenuCloseTrigger]); + + useEventListener('contextmenu', (e) => { + if ( + targetRef.current?.contains(e.target as HTMLElement) || + e.target === targetRef.current + ) { + e.preventDefault(); + setIsOpen(true); + setPosition([e.pageX, e.pageY]); + } else { + setIsOpen(false); + } + }); + + const onCloseHandler = useCallback(() => { + props.menuProps?.onClose?.(); + setIsOpen(false); + }, [props.menuProps]); + + return ( + <> + {props.children(targetRef)} + {isRendered && ( + + + + {props.renderMenu()} + + + )} + + ); +} diff --git a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx index 780447aba6..aeeb3677cc 100644 --- a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx +++ b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx @@ -1,16 +1,11 @@ import { ChakraProps, Flex, + FlexProps, Icon, Image, useColorMode, - useColorModeValue, } from '@chakra-ui/react'; -import { - TypesafeDraggableData, - TypesafeDroppableData, -} from 'app/components/ImageDnd/typesafeDnd'; -import IAIIconButton from 'common/components/IAIIconButton'; import { IAILoadingImageFallback, IAINoContentFallback, @@ -21,27 +16,39 @@ import ImageContextMenu from 'features/gallery/components/ImageContextMenu/Image import { MouseEvent, ReactElement, + ReactNode, SyntheticEvent, memo, useCallback, useState, } from 'react'; -import { FaImage, FaUndo, FaUpload } from 'react-icons/fa'; +import { FaImage, FaUpload } from 'react-icons/fa'; import { ImageDTO, PostUploadAction } from 'services/api/types'; import { mode } from 'theme/util/mode'; import IAIDraggable from './IAIDraggable'; import IAIDroppable from './IAIDroppable'; import SelectionOverlay from './SelectionOverlay'; +import { + TypesafeDraggableData, + TypesafeDroppableData, +} from 'features/dnd/types'; -type IAIDndImageProps = { +const defaultUploadElement = ( + +); + +const defaultNoContentFallback = ; + +type IAIDndImageProps = FlexProps & { imageDTO: ImageDTO | undefined; onError?: (event: SyntheticEvent) => void; onLoad?: (event: SyntheticEvent) => void; onClick?: (event: MouseEvent) => void; - onClickReset?: (event: MouseEvent) => void; - withResetIcon?: boolean; - resetIcon?: ReactElement; - resetTooltip?: string; withMetadataOverlay?: boolean; isDragDisabled?: boolean; isDropDisabled?: boolean; @@ -52,21 +59,21 @@ type IAIDndImageProps = { fitContainer?: boolean; droppableData?: TypesafeDroppableData; draggableData?: TypesafeDraggableData; - dropLabel?: string; + dropLabel?: ReactNode; isSelected?: boolean; thumbnail?: boolean; noContentFallback?: ReactElement; useThumbailFallback?: boolean; withHoverOverlay?: boolean; + children?: JSX.Element; + uploadElement?: ReactNode; }; const IAIDndImage = (props: IAIDndImageProps) => { const { imageDTO, - onClickReset, onError, onClick, - withResetIcon = false, withMetadataOverlay = false, isDropDisabled = false, isDragDisabled = false, @@ -80,32 +87,37 @@ const IAIDndImage = (props: IAIDndImageProps) => { dropLabel, isSelected = false, thumbnail = false, - resetTooltip = 'Reset', - resetIcon = , - noContentFallback = , + noContentFallback = defaultNoContentFallback, + uploadElement = defaultUploadElement, useThumbailFallback, withHoverOverlay = false, + children, + onMouseOver, + onMouseOut, } = props; const { colorMode } = useColorMode(); const [isHovered, setIsHovered] = useState(false); - const handleMouseOver = useCallback(() => { - setIsHovered(true); - }, []); - const handleMouseOut = useCallback(() => { - setIsHovered(false); - }, []); + const handleMouseOver = useCallback( + (e: MouseEvent) => { + if (onMouseOver) onMouseOver(e); + setIsHovered(true); + }, + [onMouseOver] + ); + const handleMouseOut = useCallback( + (e: MouseEvent) => { + if (onMouseOut) onMouseOut(e); + setIsHovered(false); + }, + [onMouseOut] + ); const { getUploadButtonProps, getUploadInputProps } = useImageUploadButton({ postUploadAction, isDisabled: isUploadDisabled, }); - const resetIconShadow = useColorModeValue( - `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-600))`, - `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-800))` - ); - const uploadButtonStyles = isUploadDisabled ? {} : { @@ -157,11 +169,10 @@ const IAIDndImage = (props: IAIDndImageProps) => { ) } - width={imageDTO.width} - height={imageDTO.height} onError={onError} draggable={false} sx={{ + w: imageDTO.width, objectFit: 'contain', maxW: 'full', maxH: 'full', @@ -196,12 +207,7 @@ const IAIDndImage = (props: IAIDndImageProps) => { {...getUploadButtonProps()} > - + {uploadElement} )} @@ -213,6 +219,7 @@ const IAIDndImage = (props: IAIDndImageProps) => { onClick={onClick} /> )} + {children} {!isDropDisabled && ( { dropLabel={dropLabel} /> )} - {onClickReset && withResetIcon && imageDTO && ( - - )} )} diff --git a/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx b/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx new file mode 100644 index 0000000000..f3d3fc0dda --- /dev/null +++ b/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx @@ -0,0 +1,46 @@ +import { SystemStyleObject, useColorModeValue } from '@chakra-ui/react'; +import { MouseEvent, ReactElement, memo } from 'react'; +import IAIIconButton from './IAIIconButton'; + +type Props = { + onClick: (event: MouseEvent) => void; + tooltip: string; + icon?: ReactElement; + styleOverrides?: SystemStyleObject; +}; + +const IAIDndImageIcon = (props: Props) => { + const { onClick, tooltip, icon, styleOverrides } = props; + + const resetIconShadow = useColorModeValue( + `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-600))`, + `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-800))` + ); + return ( + + ); +}; + +export default memo(IAIDndImageIcon); diff --git a/invokeai/frontend/web/src/common/components/IAIDraggable.tsx b/invokeai/frontend/web/src/common/components/IAIDraggable.tsx index 482a8ac604..363799a573 100644 --- a/invokeai/frontend/web/src/common/components/IAIDraggable.tsx +++ b/invokeai/frontend/web/src/common/components/IAIDraggable.tsx @@ -1,22 +1,19 @@ -import { Box } from '@chakra-ui/react'; -import { - TypesafeDraggableData, - useDraggable, -} from 'app/components/ImageDnd/typesafeDnd'; -import { MouseEvent, memo, useRef } from 'react'; +import { Box, BoxProps } from '@chakra-ui/react'; +import { useDraggableTypesafe } from 'features/dnd/hooks/typesafeHooks'; +import { TypesafeDraggableData } from 'features/dnd/types'; +import { memo, useRef } from 'react'; import { v4 as uuidv4 } from 'uuid'; -type IAIDraggableProps = { +type IAIDraggableProps = BoxProps & { disabled?: boolean; data?: TypesafeDraggableData; - onClick?: (event: MouseEvent) => void; }; const IAIDraggable = (props: IAIDraggableProps) => { - const { data, disabled, onClick } = props; + const { data, disabled, ...rest } = props; const dndId = useRef(uuidv4()); - const { attributes, listeners, setNodeRef } = useDraggable({ + const { attributes, listeners, setNodeRef } = useDraggableTypesafe({ id: dndId.current, disabled, data, @@ -24,7 +21,6 @@ const IAIDraggable = (props: IAIDraggableProps) => { return ( { insetInlineStart={0} {...attributes} {...listeners} + {...rest} /> ); }; diff --git a/invokeai/frontend/web/src/common/components/IAIDroppable.tsx b/invokeai/frontend/web/src/common/components/IAIDroppable.tsx index 1038f36840..e4fb121c78 100644 --- a/invokeai/frontend/web/src/common/components/IAIDroppable.tsx +++ b/invokeai/frontend/web/src/common/components/IAIDroppable.tsx @@ -1,9 +1,7 @@ import { Box } from '@chakra-ui/react'; -import { - TypesafeDroppableData, - isValidDrop, - useDroppable, -} from 'app/components/ImageDnd/typesafeDnd'; +import { useDroppableTypesafe } from 'features/dnd/hooks/typesafeHooks'; +import { TypesafeDroppableData } from 'features/dnd/types'; +import { isValidDrop } from 'features/dnd/util/isValidDrop'; import { AnimatePresence } from 'framer-motion'; import { ReactNode, memo, useRef } from 'react'; import { v4 as uuidv4 } from 'uuid'; @@ -19,7 +17,7 @@ const IAIDroppable = (props: IAIDroppableProps) => { const { dropLabel, data, disabled } = props; const dndId = useRef(uuidv4()); - const { isOver, setNodeRef, active } = useDroppable({ + const { isOver, setNodeRef, active } = useDroppableTypesafe({ id: dndId.current, disabled, data, diff --git a/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx b/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx index 2057525b7a..a150e4ed0c 100644 --- a/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx +++ b/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx @@ -49,7 +49,7 @@ export const IAILoadingImageFallback = (props: Props) => { type IAINoImageFallbackProps = { label?: string; - icon?: As; + icon?: As | null; boxSize?: StyleProps['boxSize']; sx?: ChakraProps['sx']; }; @@ -76,7 +76,7 @@ export const IAINoContentFallback = (props: IAINoImageFallbackProps) => { ...props.sx, }} > - + {icon && } {props.label && {props.label}} ); diff --git a/invokeai/frontend/web/src/common/components/IAISwitch.tsx b/invokeai/frontend/web/src/common/components/IAISwitch.tsx index 9803626397..da0883d77e 100644 --- a/invokeai/frontend/web/src/common/components/IAISwitch.tsx +++ b/invokeai/frontend/web/src/common/components/IAISwitch.tsx @@ -1,10 +1,13 @@ import { + Flex, FormControl, FormControlProps, + FormHelperText, FormLabel, FormLabelProps, Switch, SwitchProps, + Text, Tooltip, } from '@chakra-ui/react'; import { memo } from 'react'; @@ -15,6 +18,7 @@ export interface IAISwitchProps extends SwitchProps { formControlProps?: FormControlProps; formLabelProps?: FormLabelProps; tooltip?: string; + helperText?: string; } /** @@ -28,6 +32,7 @@ const IAISwitch = (props: IAISwitchProps) => { formControlProps, formLabelProps, tooltip, + helperText, ...rest } = props; return ( @@ -35,25 +40,33 @@ const IAISwitch = (props: IAISwitchProps) => { - {label && ( - - {label} - - )} - + + + {label && ( + + {label} + + )} + + + {helperText && ( + + {helperText} + + )} + ); diff --git a/invokeai/frontend/web/src/common/hooks/useChakraThemeTokens.ts b/invokeai/frontend/web/src/common/hooks/useChakraThemeTokens.ts index 770add7253..0afb7e7e5d 100644 --- a/invokeai/frontend/web/src/common/hooks/useChakraThemeTokens.ts +++ b/invokeai/frontend/web/src/common/hooks/useChakraThemeTokens.ts @@ -40,6 +40,44 @@ export const useChakraThemeTokens = () => { accent850, accent900, accent950, + baseAlpha50, + baseAlpha100, + baseAlpha150, + baseAlpha200, + baseAlpha250, + baseAlpha300, + baseAlpha350, + baseAlpha400, + baseAlpha450, + baseAlpha500, + baseAlpha550, + baseAlpha600, + baseAlpha650, + baseAlpha700, + baseAlpha750, + baseAlpha800, + baseAlpha850, + baseAlpha900, + baseAlpha950, + accentAlpha50, + accentAlpha100, + accentAlpha150, + accentAlpha200, + accentAlpha250, + accentAlpha300, + accentAlpha350, + accentAlpha400, + accentAlpha450, + accentAlpha500, + accentAlpha550, + accentAlpha600, + accentAlpha650, + accentAlpha700, + accentAlpha750, + accentAlpha800, + accentAlpha850, + accentAlpha900, + accentAlpha950, ] = useToken('colors', [ 'base.50', 'base.100', @@ -79,6 +117,44 @@ export const useChakraThemeTokens = () => { 'accent.850', 'accent.900', 'accent.950', + 'baseAlpha.50', + 'baseAlpha.100', + 'baseAlpha.150', + 'baseAlpha.200', + 'baseAlpha.250', + 'baseAlpha.300', + 'baseAlpha.350', + 'baseAlpha.400', + 'baseAlpha.450', + 'baseAlpha.500', + 'baseAlpha.550', + 'baseAlpha.600', + 'baseAlpha.650', + 'baseAlpha.700', + 'baseAlpha.750', + 'baseAlpha.800', + 'baseAlpha.850', + 'baseAlpha.900', + 'baseAlpha.950', + 'accentAlpha.50', + 'accentAlpha.100', + 'accentAlpha.150', + 'accentAlpha.200', + 'accentAlpha.250', + 'accentAlpha.300', + 'accentAlpha.350', + 'accentAlpha.400', + 'accentAlpha.450', + 'accentAlpha.500', + 'accentAlpha.550', + 'accentAlpha.600', + 'accentAlpha.650', + 'accentAlpha.700', + 'accentAlpha.750', + 'accentAlpha.800', + 'accentAlpha.850', + 'accentAlpha.900', + 'accentAlpha.950', ]); return { @@ -120,5 +196,43 @@ export const useChakraThemeTokens = () => { accent850, accent900, accent950, + baseAlpha50, + baseAlpha100, + baseAlpha150, + baseAlpha200, + baseAlpha250, + baseAlpha300, + baseAlpha350, + baseAlpha400, + baseAlpha450, + baseAlpha500, + baseAlpha550, + baseAlpha600, + baseAlpha650, + baseAlpha700, + baseAlpha750, + baseAlpha800, + baseAlpha850, + baseAlpha900, + baseAlpha950, + accentAlpha50, + accentAlpha100, + accentAlpha150, + accentAlpha200, + accentAlpha250, + accentAlpha300, + accentAlpha350, + accentAlpha400, + accentAlpha450, + accentAlpha500, + accentAlpha550, + accentAlpha600, + accentAlpha650, + accentAlpha700, + accentAlpha750, + accentAlpha800, + accentAlpha850, + accentAlpha900, + accentAlpha950, }; }; diff --git a/invokeai/frontend/web/src/common/util/serialize.ts b/invokeai/frontend/web/src/common/util/serialize.ts index a9352a8228..a5db921f8d 100644 --- a/invokeai/frontend/web/src/common/util/serialize.ts +++ b/invokeai/frontend/web/src/common/util/serialize.ts @@ -1,4 +1,10 @@ /** * Serialize an object to JSON and back to a new object */ -export const parseify = (obj: unknown) => JSON.parse(JSON.stringify(obj)); +export const parseify = (obj: unknown) => { + try { + return JSON.parse(JSON.stringify(obj)); + } catch { + return 'Error parsing object'; + } +}; diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasMaskOptions.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasMaskOptions.tsx index 2f74e5542a..25ef295631 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasMaskOptions.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasMaskOptions.tsx @@ -2,10 +2,11 @@ import { ButtonGroup, Flex } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; -import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox'; import IAIColorPicker from 'common/components/IAIColorPicker'; import IAIIconButton from 'common/components/IAIIconButton'; import IAIPopover from 'common/components/IAIPopover'; +import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox'; +import { canvasMaskSavedToGallery } from 'features/canvas/store/actions'; import { canvasSelector, isStagingSelector, @@ -22,7 +23,7 @@ import { isEqual } from 'lodash-es'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; -import { FaMask, FaTrash } from 'react-icons/fa'; +import { FaMask, FaSave, FaTrash } from 'react-icons/fa'; export const selector = createSelector( [canvasSelector, isStagingSelector], @@ -102,6 +103,10 @@ const IAICanvasMaskOptions = () => { const handleToggleEnableMask = () => dispatch(setIsMaskEnabled(!isMaskEnabled)); + const handleSaveMask = async () => { + dispatch(canvasMaskSavedToGallery()); + }; + return ( { pickerColor={maskColor} onChange={(newColor) => dispatch(setMaskColor(newColor))} /> + } onClick={handleSaveMask}> + Save Mask + } onClick={handleClearMask}> {t('unifiedCanvas.clearMask')} (Shift+C) diff --git a/invokeai/frontend/web/src/features/canvas/store/actions.ts b/invokeai/frontend/web/src/features/canvas/store/actions.ts index 1f491874a0..b4efa76e42 100644 --- a/invokeai/frontend/web/src/features/canvas/store/actions.ts +++ b/invokeai/frontend/web/src/features/canvas/store/actions.ts @@ -3,6 +3,10 @@ import { ImageDTO } from 'services/api/types'; export const canvasSavedToGallery = createAction('canvas/canvasSavedToGallery'); +export const canvasMaskSavedToGallery = createAction( + 'canvas/canvasMaskSavedToGallery' +); + export const canvasCopiedToClipboard = createAction( 'canvas/canvasCopiedToClipboard' ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx index cdab176cd2..0683282811 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx @@ -4,14 +4,16 @@ import { skipToken } from '@reduxjs/toolkit/dist/query'; import { TypesafeDraggableData, TypesafeDroppableData, -} from 'app/components/ImageDnd/typesafeDnd'; +} from 'features/dnd/types'; 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 { memo, useCallback, useMemo, useState } from 'react'; +import { FaUndo } from 'react-icons/fa'; import { useGetImageDTOQuery } from 'services/api/endpoints/images'; import { PostUploadAction } from 'services/api/types'; +import IAIDndImageIcon from '../../../common/components/IAIDndImageIcon'; import { ControlNetConfig, controlNetImageChanged, @@ -119,11 +121,15 @@ const ControlNetImagePreview = (props: Props) => { droppableData={droppableData} imageDTO={controlImage} isDropDisabled={shouldShowProcessedImage || !isEnabled} - onClickReset={handleResetControlImage} postUploadAction={postUploadAction} - resetTooltip="Reset Control Image" - withResetIcon={Boolean(controlImage)} - /> + > + : undefined} + tooltip="Reset Control Image" + /> + + { imageDTO={processedControlImage} isUploadDisabled={true} isDropDisabled={!isEnabled} - onClickReset={handleResetControlImage} - resetTooltip="Reset Control Image" - withResetIcon={Boolean(controlImage)} - /> + > + : undefined} + tooltip="Reset Control Image" + /> + {pendingControlImages.includes(controlNetId) && ( ; /** * Type guard for CannyImageProcessorInvocation diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts index 310521f32a..37be06bad6 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts +++ b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts @@ -3,6 +3,7 @@ import { RootState } from 'app/store/store'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; 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; @@ -12,11 +13,11 @@ export const getImageUsage = (state: RootState, image_name: string) => { (obj) => obj.kind === 'image' && obj.imageName === image_name ); - const isNodesImage = nodes.nodes.some((node) => { + const isNodesImage = nodes.nodes.filter(isInvocationNode).some((node) => { return some( node.data.inputs, (input) => - input.type === 'image' && input.value?.image_name === image_name + input.type === 'ImageField' && input.value?.image_name === image_name ); }); diff --git a/invokeai/frontend/web/src/app/components/ImageDnd/ImageDndContext.tsx b/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx similarity index 70% rename from invokeai/frontend/web/src/app/components/ImageDnd/ImageDndContext.tsx rename to invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx index 56eeb9b5db..bffe738aa9 100644 --- a/invokeai/frontend/web/src/app/components/ImageDnd/ImageDndContext.tsx +++ b/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx @@ -6,23 +6,18 @@ import { useSensor, useSensors, } from '@dnd-kit/core'; -import { snapCenterToCursor } from '@dnd-kit/modifiers'; +import { logger } from 'app/logging/logger'; import { dndDropped } from 'app/store/middleware/listenerMiddleware/listeners/imageDropped'; import { useAppDispatch } from 'app/store/storeHooks'; +import { parseify } from 'common/util/serialize'; 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 { DndContextTypesafe } from './DndContextTypesafe'; import DragPreview from './DragPreview'; -import { - DndContext, - DragEndEvent, - DragStartEvent, - TypesafeDraggableData, -} from './typesafeDnd'; -import { logger } from 'app/logging/logger'; -type ImageDndContextProps = PropsWithChildren; - -const ImageDndContext = (props: ImageDndContextProps) => { +const AppDndContext = (props: PropsWithChildren) => { const [activeDragData, setActiveDragData] = useState(null); const log = logger('images'); @@ -31,7 +26,10 @@ const ImageDndContext = (props: ImageDndContextProps) => { const handleDragStart = useCallback( (event: DragStartEvent) => { - log.trace({ dragData: event.active.data.current }, 'Drag started'); + log.trace( + { dragData: parseify(event.active.data.current) }, + 'Drag started' + ); const activeData = event.active.data.current; if (!activeData) { return; @@ -43,7 +41,10 @@ const ImageDndContext = (props: ImageDndContextProps) => { const handleDragEnd = useCallback( (event: DragEndEvent) => { - log.trace({ dragData: event.active.data.current }, 'Drag ended'); + log.trace( + { dragData: parseify(event.active.data.current) }, + 'Drag ended' + ); const overData = event.over?.data.current; if (!activeDragData || !overData) { return; @@ -69,15 +70,29 @@ const ImageDndContext = (props: ImageDndContextProps) => { const sensors = useSensors(mouseSensor, touchSensor); + const scaledModifier = useScaledModifer(); + return ( - {props.children} - + {activeDragData && ( { )} - + ); }; -export default memo(ImageDndContext); +export default memo(AppDndContext); diff --git a/invokeai/frontend/web/src/features/dnd/components/DndContextTypesafe.tsx b/invokeai/frontend/web/src/features/dnd/components/DndContextTypesafe.tsx new file mode 100644 index 0000000000..06fede4dc8 --- /dev/null +++ b/invokeai/frontend/web/src/features/dnd/components/DndContextTypesafe.tsx @@ -0,0 +1,6 @@ +import { DndContext } from '@dnd-kit/core'; +import { DndContextTypesafeProps } from '../types'; + +export function DndContextTypesafe(props: DndContextTypesafeProps) { + return ; +} diff --git a/invokeai/frontend/web/src/app/components/ImageDnd/DragPreview.tsx b/invokeai/frontend/web/src/features/dnd/components/DragPreview.tsx similarity index 69% rename from invokeai/frontend/web/src/app/components/ImageDnd/DragPreview.tsx rename to invokeai/frontend/web/src/features/dnd/components/DragPreview.tsx index c97778ffcd..0ee5d34b1a 100644 --- a/invokeai/frontend/web/src/app/components/ImageDnd/DragPreview.tsx +++ b/invokeai/frontend/web/src/features/dnd/components/DragPreview.tsx @@ -1,6 +1,6 @@ -import { Box, ChakraProps, Flex, Heading, Image } from '@chakra-ui/react'; +import { Box, ChakraProps, Flex, Heading, Image, Text } from '@chakra-ui/react'; import { memo } from 'react'; -import { TypesafeDraggableData } from './typesafeDnd'; +import { TypesafeDraggableData } from '../types'; type OverlayDragImageProps = { dragData: TypesafeDraggableData | null; @@ -30,19 +30,38 @@ const DragPreview = (props: OverlayDragImageProps) => { return null; } + if (props.dragData.payloadType === 'NODE_FIELD') { + const { field, fieldTemplate } = props.dragData.payload; + return ( + + {field.label || fieldTemplate.title} + + ); + } + if (props.dragData.payloadType === 'IMAGE_DTO') { const { thumbnail_url, width, height } = props.dragData.payload.imageDTO; return ( { return ( + activeTabName === 'nodes' ? nodes.viewport.zoom : 1 +); + +/** + * Applies scaling to the drag transform (if on node editor tab) and centers it on cursor. + */ +export const useScaledModifer = () => { + const zoom = useAppSelector(selectZoom); + const modifier: Modifier = useCallback( + ({ activatorEvent, draggingNodeRect, transform }) => { + if (draggingNodeRect && activatorEvent) { + const activatorCoordinates = getEventCoordinates(activatorEvent); + + if (!activatorCoordinates) { + return transform; + } + + const offsetX = activatorCoordinates.x - draggingNodeRect.left; + const offsetY = activatorCoordinates.y - draggingNodeRect.top; + + const x = transform.x + offsetX - draggingNodeRect.width / 2; + const y = transform.y + offsetY - draggingNodeRect.height / 2; + const scaleX = transform.scaleX * zoom; + const scaleY = transform.scaleY * zoom; + + return { + x, + y, + scaleX, + scaleY, + }; + } + + return transform; + }, + [zoom] + ); + + return modifier; +}; diff --git a/invokeai/frontend/web/src/app/components/ImageDnd/typesafeDnd.tsx b/invokeai/frontend/web/src/features/dnd/types/index.ts similarity index 51% rename from invokeai/frontend/web/src/app/components/ImageDnd/typesafeDnd.tsx rename to invokeai/frontend/web/src/features/dnd/types/index.ts index 6f24302070..294132d0a3 100644 --- a/invokeai/frontend/web/src/app/components/ImageDnd/typesafeDnd.tsx +++ b/invokeai/frontend/web/src/features/dnd/types/index.ts @@ -3,7 +3,6 @@ import { Active, Collision, DndContextProps, - DndContext as OriginalDndContext, Over, Translate, UseDraggableArguments, @@ -11,6 +10,10 @@ import { useDraggable as useOriginalDraggable, useDroppable as useOriginalDroppable, } from '@dnd-kit/core'; +import { + InputFieldTemplate, + InputFieldValue, +} from 'features/nodes/types/types'; import { ImageDTO } from 'services/api/types'; type BaseDropData = { @@ -62,6 +65,10 @@ export type RemoveFromBoardDropData = BaseDropData & { actionType: 'REMOVE_FROM_BOARD'; }; +export type AddFieldToLinearViewDropData = BaseDropData & { + actionType: 'ADD_FIELD_TO_LINEAR'; +}; + export type TypesafeDroppableData = | CurrentImageDropData | InitialImageDropData @@ -71,12 +78,22 @@ export type TypesafeDroppableData = | AddToBatchDropData | NodesMultiImageDropData | AddToBoardDropData - | RemoveFromBoardDropData; + | RemoveFromBoardDropData + | AddFieldToLinearViewDropData; type BaseDragData = { id: string; }; +export type NodeFieldDraggableData = BaseDragData & { + payloadType: 'NODE_FIELD'; + payload: { + nodeId: string; + field: InputFieldValue; + fieldTemplate: InputFieldTemplate; + }; +}; + export type ImageDraggableData = BaseDragData & { payloadType: 'IMAGE_DTO'; payload: { imageDTO: ImageDTO }; @@ -87,14 +104,17 @@ export type ImageDTOsDraggableData = BaseDragData & { payload: { imageDTOs: ImageDTO[] }; }; -export type TypesafeDraggableData = ImageDraggableData | ImageDTOsDraggableData; +export type TypesafeDraggableData = + | NodeFieldDraggableData + | ImageDraggableData + | ImageDTOsDraggableData; -interface UseDroppableTypesafeArguments +export interface UseDroppableTypesafeArguments extends Omit { data?: TypesafeDroppableData; } -type UseDroppableTypesafeReturnValue = Omit< +export type UseDroppableTypesafeReturnValue = Omit< ReturnType, 'active' | 'over' > & { @@ -102,16 +122,12 @@ type UseDroppableTypesafeReturnValue = Omit< over: TypesafeOver | null; }; -export function useDroppable(props: UseDroppableTypesafeArguments) { - return useOriginalDroppable(props) as UseDroppableTypesafeReturnValue; -} - -interface UseDraggableTypesafeArguments +export interface UseDraggableTypesafeArguments extends Omit { data?: TypesafeDraggableData; } -type UseDraggableTypesafeReturnValue = Omit< +export type UseDraggableTypesafeReturnValue = Omit< ReturnType, 'active' | 'over' > & { @@ -119,102 +135,14 @@ type UseDraggableTypesafeReturnValue = Omit< over: TypesafeOver | null; }; -export function useDraggable(props: UseDraggableTypesafeArguments) { - return useOriginalDraggable(props) as UseDraggableTypesafeReturnValue; -} - -interface TypesafeActive extends Omit { +export interface TypesafeActive extends Omit { data: React.MutableRefObject; } -interface TypesafeOver extends Omit { +export interface TypesafeOver extends Omit { data: React.MutableRefObject; } -export const isValidDrop = ( - overData: TypesafeDroppableData | undefined, - active: TypesafeActive | null -) => { - if (!overData || !active?.data.current) { - return false; - } - - const { actionType } = overData; - const { payloadType } = active.data.current; - - if (overData.id === active.data.current.id) { - return false; - } - - switch (actionType) { - case 'SET_CURRENT_IMAGE': - return payloadType === 'IMAGE_DTO'; - case 'SET_INITIAL_IMAGE': - return payloadType === 'IMAGE_DTO'; - case 'SET_CONTROLNET_IMAGE': - return payloadType === 'IMAGE_DTO'; - case 'SET_CANVAS_INITIAL_IMAGE': - return payloadType === 'IMAGE_DTO'; - case 'SET_NODES_IMAGE': - return payloadType === 'IMAGE_DTO'; - case 'SET_MULTI_NODES_IMAGE': - return payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS'; - case 'ADD_TO_BATCH': - return payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS'; - case 'ADD_TO_BOARD': { - // If the board is the same, don't allow the drop - - // Check the payload types - const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS'; - if (!isPayloadValid) { - return false; - } - - // Check if the image's board is the board we are dragging onto - if (payloadType === 'IMAGE_DTO') { - const { imageDTO } = active.data.current.payload; - const currentBoard = imageDTO.board_id ?? 'none'; - const destinationBoard = overData.context.boardId; - - return currentBoard !== destinationBoard; - } - - if (payloadType === 'IMAGE_DTOS') { - // TODO (multi-select) - return true; - } - - return false; - } - case 'REMOVE_FROM_BOARD': { - // If the board is the same, don't allow the drop - - // Check the payload types - const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS'; - if (!isPayloadValid) { - return false; - } - - // Check if the image's board is the board we are dragging onto - if (payloadType === 'IMAGE_DTO') { - const { imageDTO } = active.data.current.payload; - const currentBoard = imageDTO.board_id; - - return currentBoard !== 'none'; - } - - if (payloadType === 'IMAGE_DTOS') { - // TODO (multi-select) - return true; - } - - return false; - } - default: - return false; - } -}; - interface DragEvent { activatorEvent: Event; active: TypesafeActive; @@ -240,6 +168,3 @@ export interface DndContextTypesafeProps onDragEnd?(event: DragEndEvent): void; onDragCancel?(event: DragCancelEvent): void; } -export function DndContext(props: DndContextTypesafeProps) { - return ; -} diff --git a/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts b/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts new file mode 100644 index 0000000000..f704d22dff --- /dev/null +++ b/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts @@ -0,0 +1,87 @@ +import { TypesafeActive, TypesafeDroppableData } from '../types'; + +export const isValidDrop = ( + overData: TypesafeDroppableData | undefined, + active: TypesafeActive | null +) => { + if (!overData || !active?.data.current) { + return false; + } + + const { actionType } = overData; + const { payloadType } = active.data.current; + + if (overData.id === active.data.current.id) { + return false; + } + + switch (actionType) { + case 'ADD_FIELD_TO_LINEAR': + return payloadType === 'NODE_FIELD'; + case 'SET_CURRENT_IMAGE': + return payloadType === 'IMAGE_DTO'; + case 'SET_INITIAL_IMAGE': + return payloadType === 'IMAGE_DTO'; + case 'SET_CONTROLNET_IMAGE': + return payloadType === 'IMAGE_DTO'; + case 'SET_CANVAS_INITIAL_IMAGE': + return payloadType === 'IMAGE_DTO'; + case 'SET_NODES_IMAGE': + return payloadType === 'IMAGE_DTO'; + case 'SET_MULTI_NODES_IMAGE': + return payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS'; + case 'ADD_TO_BATCH': + return payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS'; + case 'ADD_TO_BOARD': { + // If the board is the same, don't allow the drop + + // Check the payload types + const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS'; + if (!isPayloadValid) { + return false; + } + + // Check if the image's board is the board we are dragging onto + if (payloadType === 'IMAGE_DTO') { + const { imageDTO } = active.data.current.payload; + const currentBoard = imageDTO.board_id ?? 'none'; + const destinationBoard = overData.context.boardId; + + return currentBoard !== destinationBoard; + } + + if (payloadType === 'IMAGE_DTOS') { + // TODO (multi-select) + return true; + } + + return false; + } + case 'REMOVE_FROM_BOARD': { + // If the board is the same, don't allow the drop + + // Check the payload types + const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS'; + if (!isPayloadValid) { + return false; + } + + // Check if the image's board is the board we are dragging onto + if (payloadType === 'IMAGE_DTO') { + const { imageDTO } = active.data.current.payload; + const currentBoard = imageDTO.board_id; + + return currentBoard !== 'none'; + } + + if (payloadType === 'IMAGE_DTOS') { + // TODO (multi-select) + return true; + } + + return false; + } + default: + return false; + } +}; 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 228ce7080c..696a8b748b 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 @@ -11,7 +11,6 @@ import { } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { skipToken } from '@reduxjs/toolkit/dist/query'; -import { AddToBoardDropData } from 'app/components/ImageDnd/typesafeDnd'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; @@ -32,6 +31,7 @@ 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; diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GenericBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GenericBoard.tsx index 0d630c524d..1698a81ac0 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GenericBoard.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GenericBoard.tsx @@ -1,7 +1,7 @@ import { As, Badge, Flex } from '@chakra-ui/react'; -import { TypesafeDroppableData } from 'app/components/ImageDnd/typesafeDnd'; import IAIDroppable from 'common/components/IAIDroppable'; import { IAINoContentFallback } from 'common/components/IAIImageFallback'; +import { TypesafeDroppableData } from 'features/dnd/types'; import { BoardId } from 'features/gallery/store/types'; import { ReactNode } from 'react'; import BoardContextMenu from '../BoardContextMenu'; 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 f1341b1146..fec280db0f 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 @@ -1,15 +1,15 @@ import { Box, Flex, Image, Text } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; -import { RemoveFromBoardDropData } from 'app/components/ImageDnd/typesafeDnd'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import InvokeAILogoImage from 'assets/images/logo.png'; import IAIDroppable from 'common/components/IAIDroppable'; import SelectionOverlay from 'common/components/SelectionOverlay'; +import { RemoveFromBoardDropData } from 'features/dnd/types'; import { - boardIdSelected, autoAddBoardIdChanged, + boardIdSelected, } from 'features/gallery/store/gallerySlice'; import { memo, useCallback, useMemo, useState } from 'react'; import { useBoardName } from 'services/api/hooks/useBoardName'; 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 f78ee286ef..2576c8e9e3 100644 --- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx @@ -1,14 +1,14 @@ import { Box, Flex, Image } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { skipToken } from '@reduxjs/toolkit/dist/query'; -import { - TypesafeDraggableData, - TypesafeDroppableData, -} from 'app/components/ImageDnd/typesafeDnd'; import { stateSelector } 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 { useNextPrevImage } from 'features/gallery/hooks/useNextPrevImage'; import { selectLastSelectedImage } from 'features/gallery/store/gallerySelectors'; import { AnimatePresence, motion } from 'framer-motion'; diff --git a/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx b/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx index 5c32cc788e..23cfdcc5fd 100644 --- a/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx @@ -11,7 +11,6 @@ import { autoAssignBoardOnClickChanged, setGalleryImageMinimumWidth, shouldAutoSwitchChanged, - shouldShowDeleteButtonChanged, } from 'features/gallery/store/gallerySlice'; import { ChangeEvent, useCallback } from 'react'; import { useTranslation } from 'react-i18next'; @@ -26,14 +25,12 @@ const selector = createSelector( galleryImageMinimumWidth, shouldAutoSwitch, autoAssignBoardOnClick, - shouldShowDeleteButton, } = state.gallery; return { galleryImageMinimumWidth, shouldAutoSwitch, autoAssignBoardOnClick, - shouldShowDeleteButton, }; }, defaultSelectorOptions @@ -43,12 +40,8 @@ const GallerySettingsPopover = () => { const dispatch = useAppDispatch(); const { t } = useTranslation(); - const { - galleryImageMinimumWidth, - shouldAutoSwitch, - autoAssignBoardOnClick, - shouldShowDeleteButton, - } = useAppSelector(selector); + const { galleryImageMinimumWidth, shouldAutoSwitch, autoAssignBoardOnClick } = + useAppSelector(selector); const handleChangeGalleryImageMinimumWidth = useCallback( (v: number) => { @@ -68,13 +61,6 @@ const GallerySettingsPopover = () => { [dispatch] ); - const handleChangeShowDeleteButton = useCallback( - (e: ChangeEvent) => { - dispatch(shouldShowDeleteButtonChanged(e.target.checked)); - }, - [dispatch] - ); - return ( { { isChecked={shouldAutoSwitch} onChange={handleChangeAutoSwitch} /> - ['children']; + children: IAIContextMenuProps['children']; }; const selector = createSelector( @@ -33,7 +36,7 @@ const ImageContextMenu = ({ imageDTO, children }: Props) => { }, []); return ( - + menuProps={{ size: 'sm', isLazy: true }} menuButtonProps={{ bg: 'transparent', @@ -68,7 +71,7 @@ const ImageContextMenu = ({ imageDTO, children }: Props) => { }} > {children} - + ); }; 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 079fc43a4a..0f36273122 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx @@ -5,13 +5,21 @@ import { isModalOpenChanged, } from 'features/changeBoardModal/store/slice'; import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice'; -import { useCallback } from 'react'; +import { useCallback, useMemo } from 'react'; import { FaFolder, FaTrash } from 'react-icons/fa'; +import { MdStar, MdStarBorder } from 'react-icons/md'; +import { + useStarImagesMutation, + useUnstarImagesMutation, +} from '../../../../services/api/endpoints/images'; const MultipleSelectionMenuItems = () => { const dispatch = useAppDispatch(); const selection = useAppSelector((state) => state.gallery.selection); + const [starImages] = useStarImagesMutation(); + const [unstarImages] = useUnstarImagesMutation(); + const handleChangeBoard = useCallback(() => { dispatch(imagesToChangeSelected(selection)); dispatch(isModalOpenChanged(true)); @@ -21,8 +29,37 @@ const MultipleSelectionMenuItems = () => { dispatch(imagesToDeleteSelected(selection)); }, [dispatch, selection]); + const handleStarSelection = useCallback(() => { + starImages({ imageDTOs: selection }); + }, [starImages, selection]); + + const handleUnstarSelection = useCallback(() => { + unstarImages({ imageDTOs: selection }); + }, [unstarImages, selection]); + + const areAllStarred = useMemo(() => { + return selection.every((img) => img.starred); + }, [selection]); + + const areAllUnstarred = useMemo(() => { + return selection.every((img) => !img.starred); + }, [selection]); + return ( <> + {areAllStarred && ( + } + onClickCapture={handleUnstarSelection} + > + Unstar All + + )} + {(areAllUnstarred || (!areAllStarred && !areAllUnstarred)) && ( + } onClickCapture={handleStarSelection}> + Star All + + )} } onClickCapture={handleChangeBoard}> Change Board 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 f857abf5ff..ef6e2ccd5c 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx @@ -29,10 +29,15 @@ import { FaShare, FaTrash, } from 'react-icons/fa'; -import { useGetImageMetadataQuery } from 'services/api/endpoints/images'; +import { + useGetImageMetadataQuery, + useStarImagesMutation, + useUnstarImagesMutation, +} from 'services/api/endpoints/images'; import { ImageDTO } from 'services/api/types'; import { useDebounce } from 'use-debounce'; import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions'; +import { MdStar, MdStarBorder } from 'react-icons/md'; type SingleSelectionMenuItemsProps = { imageDTO: ImageDTO; @@ -59,6 +64,9 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { : debouncedMetadataQueryArg ?? skipToken ); + const [starImages] = useStarImagesMutation(); + const [unstarImages] = useUnstarImagesMutation(); + const { isClipboardAPIAvailable, copyImageToClipboard } = useCopyImageToClipboard(); @@ -127,6 +135,14 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { copyImageToClipboard(imageDTO.image_url); }, [copyImageToClipboard, imageDTO.image_url]); + const handleStarImage = useCallback(() => { + if (imageDTO) starImages({ imageDTOs: [imageDTO] }); + }, [starImages, imageDTO]); + + const handleUnstarImage = useCallback(() => { + if (imageDTO) unstarImages({ imageDTOs: [imageDTO] }); + }, [unstarImages, imageDTO]); + return ( <> { } onClickCapture={handleChangeBoard}> Change Board + {imageDTO.starred ? ( + } onClickCapture={handleUnstarImage}> + Unstar Image + + ) : ( + } onClickCapture={handleStarImage}> + Star Image + + )} } diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx index f2ff2ad30b..804df49b8e 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx @@ -52,11 +52,13 @@ const ImageGalleryContent = () => { return ( 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 c9eee5f1f5..5dbbf011e8 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx @@ -1,17 +1,23 @@ import { Box, Flex } from '@chakra-ui/react'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIDndImage from 'common/components/IAIDndImage'; +import IAIFillSkeleton from 'common/components/IAIFillSkeleton'; +import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice'; import { ImageDTOsDraggableData, ImageDraggableData, TypesafeDraggableData, -} from 'app/components/ImageDnd/typesafeDnd'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import IAIDndImage from 'common/components/IAIDndImage'; -import IAIFillSkeleton from 'common/components/IAIFillSkeleton'; +} from 'features/dnd/types'; import { useMultiselect } from 'features/gallery/hooks/useMultiselect.ts'; -import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice'; -import { MouseEvent, memo, useCallback, useMemo } from 'react'; +import { MouseEvent, memo, useCallback, useMemo, useState } from 'react'; import { FaTrash } from 'react-icons/fa'; -import { useGetImageDTOQuery } from 'services/api/endpoints/images'; +import { MdStar, MdStarBorder } from 'react-icons/md'; +import { + useGetImageDTOQuery, + useStarImagesMutation, + useUnstarImagesMutation, +} from 'services/api/endpoints/images'; +import IAIDndImageIcon from '../../../../common/components/IAIDndImageIcon'; interface HoverableImageProps { imageName: string; @@ -21,9 +27,7 @@ const GalleryImage = (props: HoverableImageProps) => { const dispatch = useAppDispatch(); const { imageName } = props; const { currentData: imageDTO } = useGetImageDTOQuery(imageName); - const shouldShowDeleteButton = useAppSelector( - (state) => state.gallery.shouldShowDeleteButton - ); + const shift = useAppSelector((state) => state.hotkeys.shift); const { handleClick, isSelected, selection, selectionCount } = useMultiselect(imageDTO); @@ -59,6 +63,35 @@ const GalleryImage = (props: HoverableImageProps) => { } }, [imageDTO, selection, selectionCount]); + const [starImages] = useStarImagesMutation(); + const [unstarImages] = useUnstarImagesMutation(); + + const toggleStarredState = useCallback(() => { + if (imageDTO) { + if (imageDTO.starred) { + unstarImages({ imageDTOs: [imageDTO] }); + } + if (!imageDTO.starred) { + starImages({ imageDTOs: [imageDTO] }); + } + } + }, [starImages, unstarImages, imageDTO]); + + const [isHovered, setIsHovered] = useState(false); + + const handleMouseOver = useCallback(() => { + setIsHovered(true); + }, []); + + const handleMouseOut = useCallback(() => { + setIsHovered(false); + }, []); + + const starIcon = useMemo(() => { + if (imageDTO?.starred) return ; + if (!imageDTO?.starred && isHovered) return ; + }, [imageDTO?.starred, isHovered]); + if (!imageDTO) { return ; } @@ -80,16 +113,34 @@ const GalleryImage = (props: HoverableImageProps) => { draggableData={draggableData} isSelected={isSelected} minSize={0} - onClickReset={handleDelete} imageSx={{ w: 'full', h: 'full' }} isDropDisabled={true} isUploadDisabled={true} thumbnail={true} withHoverOverlay - resetIcon={} - resetTooltip="Delete image" - withResetIcon={shouldShowDeleteButton} // removed bc it's too easy to accidentally delete images - /> + onMouseOver={handleMouseOver} + onMouseOut={handleMouseOut} + > + <> + + + {isHovered && shift && ( + } + tooltip="Delete" + 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 4a56fe0e9a..bacd5c38ad 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx @@ -26,7 +26,7 @@ const overlayScrollbarsConfig: UseOverlayScrollbarsParams = { options: { scrollbars: { visibility: 'auto', - autoHide: 'leave', + autoHide: 'scroll', autoHideDelay: 1300, theme: 'os-theme-dark', }, diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataJSON.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataJSON.tsx index 590d40438b..69385607de 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataJSON.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataJSON.tsx @@ -1,26 +1,40 @@ import { Box, Flex, IconButton, Tooltip } from '@chakra-ui/react'; import { OverlayScrollbarsComponent } from 'overlayscrollbars-react'; -import { useMemo } from 'react'; -import { FaCopy } from 'react-icons/fa'; +import { useCallback, useMemo } from 'react'; +import { FaCopy, FaSave } from 'react-icons/fa'; type Props = { - copyTooltip: string; + label: string; jsonObject: object; + fileName?: string; }; const ImageMetadataJSON = (props: Props) => { - const { copyTooltip, jsonObject } = props; + const { label, jsonObject, fileName } = props; const jsonString = useMemo( () => JSON.stringify(jsonObject, null, 2), [jsonObject] ); + const handleCopy = useCallback(() => { + navigator.clipboard.writeText(jsonString); + }, [jsonString]); + + const handleSave = useCallback(() => { + const blob = new Blob([jsonString]); + const a = document.createElement('a'); + a.href = URL.createObjectURL(blob); + a.download = `${fileName || label}.json`; + document.body.appendChild(a); + a.click(); + a.remove(); + }, [jsonString, label, fileName]); + return ( { bottom: 0, overflow: 'auto', p: 4, + fontSize: 'sm', }} > { options={{ scrollbars: { visibility: 'auto', - autoHide: 'move', + autoHide: 'scroll', autoHideDelay: 1300, theme: 'os-theme-dark', }, @@ -54,12 +69,22 @@ const ImageMetadataJSON = (props: Props) => { - + } + variant="ghost" + opacity={0.7} + onClick={handleSave} + /> + + + } variant="ghost" - onClick={() => navigator.clipboard.writeText(jsonString)} + opacity={0.7} + onClick={handleCopy} /> 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 e1f2a9e46a..d70aea8a8d 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx @@ -10,7 +10,8 @@ import { Text, } from '@chakra-ui/react'; import { skipToken } from '@reduxjs/toolkit/dist/query'; -import { memo, useMemo } from 'react'; +import { IAINoContentFallback } from 'common/components/IAIImageFallback'; +import { memo } from 'react'; import { useGetImageMetadataQuery } from 'services/api/endpoints/images'; import { ImageDTO } from 'services/api/types'; import { useDebounce } from 'use-debounce'; @@ -41,48 +42,15 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => { const metadata = currentData?.metadata; const graph = currentData?.graph; - const tabData = useMemo(() => { - const _tabData: { label: string; data: object; copyTooltip: string }[] = []; - - if (metadata) { - _tabData.push({ - label: 'Core Metadata', - data: metadata, - copyTooltip: 'Copy Core Metadata JSON', - }); - } - - if (image) { - _tabData.push({ - label: 'Image Details', - data: image, - copyTooltip: 'Copy Image Details JSON', - }); - } - - if (graph) { - _tabData.push({ - label: 'Graph', - data: graph, - copyTooltip: 'Copy Graph JSON', - }); - } - return _tabData; - }, [metadata, graph, image]); - return ( { sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }} > - {tabData.map((tab) => ( - - - {tab.label} - - - ))} + Core Metadata + Image Details + Graph - - {tabData.map((tab) => ( - - - - ))} + + + {metadata ? ( + + ) : ( + + )} + + + {image ? ( + + ) : ( + + )} + + + {graph ? ( + + ) : ( + + )} + diff --git a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts index bc7acff6f4..a4e4b02937 100644 --- a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts +++ b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts @@ -13,7 +13,6 @@ export const initialGalleryState: GalleryState = { galleryImageMinimumWidth: 96, selectedBoardId: 'none', galleryView: 'images', - shouldShowDeleteButton: false, boardSearchText: '', }; @@ -50,9 +49,6 @@ export const gallerySlice = createSlice({ galleryViewChanged: (state, action: PayloadAction) => { state.galleryView = action.payload; }, - shouldShowDeleteButtonChanged: (state, action: PayloadAction) => { - state.shouldShowDeleteButton = action.payload; - }, boardSearchTextChanged: (state, action: PayloadAction) => { state.boardSearchText = action.payload; }, @@ -93,7 +89,6 @@ export const { autoAddBoardIdChanged, galleryViewChanged, selectionChanged, - shouldShowDeleteButtonChanged, boardSearchTextChanged, } = gallerySlice.actions; diff --git a/invokeai/frontend/web/src/features/gallery/store/types.ts b/invokeai/frontend/web/src/features/gallery/store/types.ts index 6860f6ea7b..7b707dd303 100644 --- a/invokeai/frontend/web/src/features/gallery/store/types.ts +++ b/invokeai/frontend/web/src/features/gallery/store/types.ts @@ -21,6 +21,5 @@ export type GalleryState = { galleryImageMinimumWidth: number; selectedBoardId: BoardId; galleryView: GalleryView; - shouldShowDeleteButton: boolean; boardSearchText: string; }; diff --git a/invokeai/frontend/web/src/features/nodes/components/AddNodeMenu.tsx b/invokeai/frontend/web/src/features/nodes/components/AddNodeMenu.tsx index a1a1acf1f8..a816762d0f 100644 --- a/invokeai/frontend/web/src/features/nodes/components/AddNodeMenu.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/AddNodeMenu.tsx @@ -9,30 +9,40 @@ import { map } from 'lodash-es'; import { forwardRef, useCallback } from 'react'; import 'reactflow/dist/style.css'; import { AnyInvocationType } from 'services/events/types'; -import { useBuildInvocation } from '../hooks/useBuildInvocation'; +import { useBuildNodeData } from '../hooks/useBuildNodeData'; import { nodeAdded } from '../store/nodesSlice'; type NodeTemplate = { label: string; value: string; description: string; + tags: string[]; }; const selector = createSelector( [stateSelector], ({ nodes }) => { - const data: NodeTemplate[] = map(nodes.invocationTemplates, (template) => { + 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: 'progress_image', - description: 'Displays the progress image in the Node Editor', + 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'], }); return { data }; @@ -44,7 +54,7 @@ const AddNodeMenu = () => { const dispatch = useAppDispatch(); const { data } = useAppSelector(selector); - const buildInvocation = useBuildInvocation(); + const buildInvocation = useBuildNodeData(); const toaster = useAppToaster(); @@ -89,11 +99,12 @@ const AddNodeMenu = () => { filter={(value, item: NodeTemplate) => item.label.toLowerCase().includes(value.toLowerCase().trim()) || item.value.toLowerCase().includes(value.toLowerCase().trim()) || - item.description.toLowerCase().includes(value.toLowerCase().trim()) + item.description.toLowerCase().includes(value.toLowerCase().trim()) || + item.tags.includes(value.toLowerCase().trim()) } onChange={handleChange} sx={{ - width: '18rem', + width: '24rem', }} /> diff --git a/invokeai/frontend/web/src/features/nodes/components/CustomConnectionLine.tsx b/invokeai/frontend/web/src/features/nodes/components/CustomConnectionLine.tsx new file mode 100644 index 0000000000..678d8e3d1d --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/CustomConnectionLine.tsx @@ -0,0 +1,61 @@ +import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; +import { useAppSelector } from 'app/store/storeHooks'; +import { ConnectionLineComponentProps, getBezierPath } from 'reactflow'; +import { FIELDS, colorTokenToCssVar } from '../types/constants'; + +const selector = createSelector(stateSelector, ({ nodes }) => { + const { shouldAnimateEdges, currentConnectionFieldType, shouldColorEdges } = + nodes; + + const stroke = + currentConnectionFieldType && shouldColorEdges + ? colorTokenToCssVar(FIELDS[currentConnectionFieldType].color) + : colorTokenToCssVar('base.500'); + + let className = 'react-flow__custom_connection-path'; + + if (shouldAnimateEdges) { + className = className.concat(' animated'); + } + + return { + stroke, + className, + }; +}); + +export const CustomConnectionLine = ({ + fromX, + fromY, + fromPosition, + toX, + toY, + toPosition, +}: ConnectionLineComponentProps) => { + const { stroke, className } = useAppSelector(selector); + + const pathParams = { + sourceX: fromX, + sourceY: fromY, + sourcePosition: fromPosition, + targetX: toX, + targetY: toY, + targetPosition: toPosition, + }; + + const [dAttr] = getBezierPath(pathParams); + + return ( + + + + ); +}; diff --git a/invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx b/invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx new file mode 100644 index 0000000000..f80f0451e4 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx @@ -0,0 +1,199 @@ +import { Badge, 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 { useChakraThemeTokens } from 'common/hooks/useChakraThemeTokens'; +import { memo, useMemo } from 'react'; +import { + BaseEdge, + EdgeLabelRenderer, + EdgeProps, + getBezierPath, +} from 'reactflow'; +import { FIELDS, colorTokenToCssVar } from '../types/constants'; +import { isInvocationNode } from '../types/types'; + +const makeEdgeSelector = ( + source: string, + sourceHandleId: string | null | undefined, + target: string, + targetHandleId: string | null | undefined, + selected?: boolean +) => + createSelector( + stateSelector, + ({ nodes }) => { + const sourceNode = nodes.nodes.find((node) => node.id === source); + const targetNode = nodes.nodes.find((node) => node.id === target); + + const isInvocationToInvocationEdge = + isInvocationNode(sourceNode) && isInvocationNode(targetNode); + + const isSelected = + sourceNode?.selected || targetNode?.selected || selected; + const sourceType = isInvocationToInvocationEdge + ? sourceNode?.data?.outputs[sourceHandleId || '']?.type + : undefined; + + const stroke = + sourceType && nodes.shouldColorEdges + ? colorTokenToCssVar(FIELDS[sourceType].color) + : colorTokenToCssVar('base.500'); + + return { + isSelected, + shouldAnimate: nodes.shouldAnimateEdges && isSelected, + stroke, + }; + }, + defaultSelectorOptions + ); + +const CollapsedEdge = memo( + ({ + sourceX, + sourceY, + targetX, + targetY, + sourcePosition, + targetPosition, + markerEnd, + data, + selected, + source, + target, + sourceHandleId, + targetHandleId, + }: EdgeProps<{ count: number }>) => { + const selector = useMemo( + () => + makeEdgeSelector( + source, + sourceHandleId, + target, + targetHandleId, + selected + ), + [selected, source, sourceHandleId, target, targetHandleId] + ); + + const { isSelected, shouldAnimate } = useAppSelector(selector); + + const [edgePath, labelX, labelY] = getBezierPath({ + sourceX, + sourceY, + sourcePosition, + targetX, + targetY, + targetPosition, + }); + + const { base500 } = useChakraThemeTokens(); + + return ( + <> + + {data?.count && data.count > 1 && ( + + + + {data.count} + + + + )} + + ); + } +); + +CollapsedEdge.displayName = 'CollapsedEdge'; + +const DefaultEdge = memo( + ({ + sourceX, + sourceY, + targetX, + targetY, + sourcePosition, + targetPosition, + markerEnd, + selected, + source, + target, + sourceHandleId, + targetHandleId, + }: EdgeProps) => { + const selector = useMemo( + () => + makeEdgeSelector( + source, + sourceHandleId, + target, + targetHandleId, + selected + ), + [source, sourceHandleId, target, targetHandleId, selected] + ); + + const { isSelected, shouldAnimate, stroke } = useAppSelector(selector); + + const [edgePath] = getBezierPath({ + sourceX, + sourceY, + sourcePosition, + targetX, + targetY, + targetPosition, + }); + + return ( + + ); + } +); + +DefaultEdge.displayName = 'DefaultEdge'; + +export const edgeTypes = { + collapsed: CollapsedEdge, + default: DefaultEdge, +}; diff --git a/invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx b/invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx new file mode 100644 index 0000000000..be845df435 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx @@ -0,0 +1,9 @@ +import CurrentImageNode from './nodes/CurrentImageNode'; +import InvocationNodeWrapper from './nodes/InvocationNodeWrapper'; +import NotesNode from './nodes/NotesNode'; + +export const nodeTypes = { + invocation: InvocationNodeWrapper, + current_image: CurrentImageNode, + notes: NotesNode, +}; diff --git a/invokeai/frontend/web/src/features/nodes/components/FieldHandle.tsx b/invokeai/frontend/web/src/features/nodes/components/FieldHandle.tsx deleted file mode 100644 index 86099a7315..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/FieldHandle.tsx +++ /dev/null @@ -1,64 +0,0 @@ -import { Tooltip } from '@chakra-ui/react'; -import { CSSProperties, memo } from 'react'; -import { Handle, Position, Connection, HandleType } from 'reactflow'; -import { FIELDS, HANDLE_TOOLTIP_OPEN_DELAY } from '../types/constants'; -// import { useConnectionEventStyles } from '../hooks/useConnectionEventStyles'; -import { InputFieldTemplate, OutputFieldTemplate } from '../types/types'; - -const handleBaseStyles: CSSProperties = { - position: 'absolute', - width: '1rem', - height: '1rem', - borderWidth: 0, -}; - -const inputHandleStyles: CSSProperties = { - left: '-1rem', -}; - -const outputHandleStyles: CSSProperties = { - right: '-0.5rem', -}; - -// const requiredConnectionStyles: CSSProperties = { -// boxShadow: '0 0 0.5rem 0.5rem var(--invokeai-colors-error-400)', -// }; - -type FieldHandleProps = { - nodeId: string; - field: InputFieldTemplate | OutputFieldTemplate; - isValidConnection: (connection: Connection) => boolean; - handleType: HandleType; - styles?: CSSProperties; -}; - -const FieldHandle = (props: FieldHandleProps) => { - const { field, isValidConnection, handleType, styles } = props; - const { name, type } = field; - - return ( - - - - ); -}; - -export default memo(FieldHandle); diff --git a/invokeai/frontend/web/src/features/nodes/components/FieldTypeLegend.tsx b/invokeai/frontend/web/src/features/nodes/components/FieldTypeLegend.tsx index 78316cc694..a523cc29fe 100644 --- a/invokeai/frontend/web/src/features/nodes/components/FieldTypeLegend.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/FieldTypeLegend.tsx @@ -1,8 +1,8 @@ -import 'reactflow/dist/style.css'; -import { Tooltip, Badge, Flex } from '@chakra-ui/react'; +import { Badge, Flex, Tooltip } from '@chakra-ui/react'; import { map } from 'lodash-es'; -import { FIELDS } from '../types/constants'; import { memo } from 'react'; +import 'reactflow/dist/style.css'; +import { FIELDS } from '../types/constants'; const FieldTypeLegend = () => { return ( @@ -10,8 +10,14 @@ const FieldTypeLegend = () => { {map(FIELDS, ({ title, description, color }, key) => ( {title} diff --git a/invokeai/frontend/web/src/features/nodes/components/Flow.tsx b/invokeai/frontend/web/src/features/nodes/components/Flow.tsx index 7b0718182b..3290a65054 100644 --- a/invokeai/frontend/web/src/features/nodes/components/Flow.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/Flow.tsx @@ -1,5 +1,6 @@ -import { RootState } from 'app/store/store'; +import { useToken } from '@chakra-ui/react'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { contextMenusClosed } from 'features/ui/store/uiSlice'; import { useCallback } from 'react'; import { Background, @@ -7,35 +8,51 @@ import { OnConnectEnd, OnConnectStart, OnEdgesChange, - OnInit, + OnEdgesDelete, + OnMoveEnd, OnNodesChange, + OnNodesDelete, + OnSelectionChangeFunc, + ProOptions, ReactFlow, } from 'reactflow'; +import { useIsValidConnection } from '../hooks/useIsValidConnection'; import { connectionEnded, connectionMade, connectionStarted, edgesChanged, + edgesDeleted, nodesChanged, - setEditorInstance, + nodesDeleted, + selectedEdgesChanged, + selectedNodesChanged, + viewportChanged, } from '../store/nodesSlice'; -import { InvocationComponent } from './InvocationComponent'; -import ProgressImageNode from './ProgressImageNode'; -import BottomLeftPanel from './panels/BottomLeftPanel.tsx'; -import MinimapPanel from './panels/MinimapPanel'; -import TopCenterPanel from './panels/TopCenterPanel'; -import TopLeftPanel from './panels/TopLeftPanel'; -import TopRightPanel from './panels/TopRightPanel'; +import { CustomConnectionLine } from './CustomConnectionLine'; +import { edgeTypes } from './CustomEdges'; +import { nodeTypes } from './CustomNodes'; +import BottomLeftPanel from './editorPanels/BottomLeftPanel'; +import MinimapPanel from './editorPanels/MinimapPanel'; +import TopCenterPanel from './editorPanels/TopCenterPanel'; +import TopLeftPanel from './editorPanels/TopLeftPanel'; +import TopRightPanel from './editorPanels/TopRightPanel'; -const nodeTypes = { - invocation: InvocationComponent, - progress_image: ProgressImageNode, -}; +// TODO: can we support reactflow? if not, we could style the attribution so it matches the app +const proOptions: ProOptions = { hideAttribution: true }; export const Flow = () => { const dispatch = useAppDispatch(); - const nodes = useAppSelector((state: RootState) => state.nodes.nodes); - const edges = useAppSelector((state: RootState) => state.nodes.edges); + const nodes = useAppSelector((state) => state.nodes.nodes); + const edges = useAppSelector((state) => state.nodes.edges); + const viewport = useAppSelector((state) => state.nodes.viewport); + const shouldSnapToGrid = useAppSelector( + (state) => state.nodes.shouldSnapToGrid + ); + + const isValidConnection = useIsValidConnection(); + + const [borderRadius] = useToken('radii', ['base']); const onNodesChange: OnNodesChange = useCallback( (changes) => { @@ -69,35 +86,71 @@ export const Flow = () => { dispatch(connectionEnded()); }, [dispatch]); - const onInit: OnInit = useCallback( - (v) => { - dispatch(setEditorInstance(v)); - if (v) v.fitView(); + const onEdgesDelete: OnEdgesDelete = useCallback( + (edges) => { + dispatch(edgesDeleted(edges)); }, [dispatch] ); + const onNodesDelete: OnNodesDelete = useCallback( + (nodes) => { + dispatch(nodesDeleted(nodes)); + }, + [dispatch] + ); + + const handleSelectionChange: OnSelectionChangeFunc = useCallback( + ({ nodes, edges }) => { + dispatch(selectedNodesChanged(nodes ? nodes.map((n) => n.id) : [])); + dispatch(selectedEdgesChanged(edges ? edges.map((e) => e.id) : [])); + }, + [dispatch] + ); + + const handleMoveEnd: OnMoveEnd = useCallback( + (e, viewport) => { + dispatch(viewportChanged(viewport)); + }, + [dispatch] + ); + + const handlePaneClick = useCallback(() => { + dispatch(contextMenusClosed()); + }, [dispatch]); + return ( - + ); }; diff --git a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeHeader.tsx b/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeHeader.tsx deleted file mode 100644 index 7b56bc95b4..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeHeader.tsx +++ /dev/null @@ -1,55 +0,0 @@ -import { Flex, Heading, Icon, Tooltip } from '@chakra-ui/react'; -import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/hooks/useBuildInvocation'; -import { memo } from 'react'; -import { FaInfoCircle } from 'react-icons/fa'; - -interface IAINodeHeaderProps { - nodeId?: string; - title?: string; - description?: string; -} - -const IAINodeHeader = (props: IAINodeHeaderProps) => { - const { nodeId, title, description } = props; - return ( - - - - {title} - - - - - - - ); -}; - -export default memo(IAINodeHeader); diff --git a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeInputs.tsx b/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeInputs.tsx deleted file mode 100644 index 6f779e4295..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeInputs.tsx +++ /dev/null @@ -1,149 +0,0 @@ -import { - Box, - Divider, - Flex, - FormControl, - FormLabel, - HStack, - Tooltip, -} from '@chakra-ui/react'; -import { RootState } from 'app/store/store'; -import { useAppSelector } from 'app/store/storeHooks'; -import { useIsValidConnection } from 'features/nodes/hooks/useIsValidConnection'; -import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants'; -import { - InputFieldTemplate, - InputFieldValue, - InvocationTemplate, -} from 'features/nodes/types/types'; -import { map } from 'lodash-es'; -import { ReactNode, memo, useCallback } from 'react'; -import FieldHandle from '../FieldHandle'; -import InputFieldComponent from '../InputFieldComponent'; - -interface IAINodeInputProps { - nodeId: string; - - input: InputFieldValue; - template?: InputFieldTemplate | undefined; - connected: boolean; -} - -function IAINodeInput(props: IAINodeInputProps) { - const { nodeId, input, template, connected } = props; - const isValidConnection = useIsValidConnection(); - - return ( - - - {!template ? ( - - Unknown input: {input.name} - - ) : ( - <> - - - - {template?.title} - - - - - - {!['never', 'directOnly'].includes( - template?.inputRequirement ?? '' - ) && ( - - )} - - )} - - - ); -} - -interface IAINodeInputsProps { - nodeId: string; - template: InvocationTemplate; - inputs: Record; -} - -const IAINodeInputs = (props: IAINodeInputsProps) => { - const { nodeId, template, inputs } = props; - - const edges = useAppSelector((state: RootState) => state.nodes.edges); - - const renderIAINodeInputs = useCallback(() => { - const IAINodeInputsToRender: ReactNode[] = []; - const inputSockets = map(inputs); - - inputSockets.forEach((inputSocket, index) => { - const inputTemplate = template.inputs[inputSocket.name]; - - const isConnected = Boolean( - edges.filter((connectedInput) => { - return ( - connectedInput.target === nodeId && - connectedInput.targetHandle === inputSocket.name - ); - }).length - ); - - if (index < inputSockets.length) { - IAINodeInputsToRender.push( - - ); - } - - IAINodeInputsToRender.push( - - ); - }); - - return ( - - {IAINodeInputsToRender} - - ); - }, [edges, inputs, nodeId, template.inputs]); - - return renderIAINodeInputs(); -}; - -export default memo(IAINodeInputs); diff --git a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeOutputs.tsx b/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeOutputs.tsx deleted file mode 100644 index 2cb0bcde8d..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeOutputs.tsx +++ /dev/null @@ -1,97 +0,0 @@ -import { - InvocationTemplate, - OutputFieldTemplate, - OutputFieldValue, -} from 'features/nodes/types/types'; -import { memo, ReactNode, useCallback } from 'react'; -import { map } from 'lodash-es'; -import { useAppSelector } from 'app/store/storeHooks'; -import { RootState } from 'app/store/store'; -import { Box, Flex, FormControl, FormLabel, HStack } from '@chakra-ui/react'; -import FieldHandle from '../FieldHandle'; -import { useIsValidConnection } from 'features/nodes/hooks/useIsValidConnection'; - -interface IAINodeOutputProps { - nodeId: string; - output: OutputFieldValue; - template?: OutputFieldTemplate | undefined; - connected: boolean; -} - -function IAINodeOutput(props: IAINodeOutputProps) { - const { nodeId, output, template, connected } = props; - const isValidConnection = useIsValidConnection(); - - return ( - - - {!template ? ( - - - Unknown Output: {output.name} - - - ) : ( - <> - - {template?.title} - - - - )} - - - ); -} - -interface IAINodeOutputsProps { - nodeId: string; - template: InvocationTemplate; - outputs: Record; -} - -const IAINodeOutputs = (props: IAINodeOutputsProps) => { - const { nodeId, template, outputs } = props; - - const edges = useAppSelector((state: RootState) => state.nodes.edges); - - const renderIAINodeOutputs = useCallback(() => { - const IAINodeOutputsToRender: ReactNode[] = []; - const outputSockets = map(outputs); - - outputSockets.forEach((outputSocket) => { - const outputTemplate = template.outputs[outputSocket.name]; - - const isConnected = Boolean( - edges.filter((connectedInput) => { - return ( - connectedInput.source === nodeId && - connectedInput.sourceHandle === outputSocket.name - ); - }).length - ); - - IAINodeOutputsToRender.push( - - ); - }); - - return {IAINodeOutputsToRender}; - }, [edges, nodeId, outputs, template.outputs]); - - return renderIAINodeOutputs(); -}; - -export default memo(IAINodeOutputs); diff --git a/invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx deleted file mode 100644 index 0ecc43ef9c..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx +++ /dev/null @@ -1,252 +0,0 @@ -import { Box } from '@chakra-ui/react'; -import { memo } from 'react'; -import { InputFieldTemplate, InputFieldValue } from '../types/types'; -import ArrayInputFieldComponent from './fields/ArrayInputFieldComponent'; -import BooleanInputFieldComponent from './fields/BooleanInputFieldComponent'; -import ClipInputFieldComponent from './fields/ClipInputFieldComponent'; -import ColorInputFieldComponent from './fields/ColorInputFieldComponent'; -import ConditioningInputFieldComponent from './fields/ConditioningInputFieldComponent'; -import ControlInputFieldComponent from './fields/ControlInputFieldComponent'; -import ControlNetModelInputFieldComponent from './fields/ControlNetModelInputFieldComponent'; -import EnumInputFieldComponent from './fields/EnumInputFieldComponent'; -import ImageCollectionInputFieldComponent from './fields/ImageCollectionInputFieldComponent'; -import ImageInputFieldComponent from './fields/ImageInputFieldComponent'; -import ItemInputFieldComponent from './fields/ItemInputFieldComponent'; -import LatentsInputFieldComponent from './fields/LatentsInputFieldComponent'; -import LoRAModelInputFieldComponent from './fields/LoRAModelInputFieldComponent'; -import ModelInputFieldComponent from './fields/ModelInputFieldComponent'; -import NumberInputFieldComponent from './fields/NumberInputFieldComponent'; -import StringInputFieldComponent from './fields/StringInputFieldComponent'; -import UnetInputFieldComponent from './fields/UnetInputFieldComponent'; -import VaeInputFieldComponent from './fields/VaeInputFieldComponent'; -import VaeModelInputFieldComponent from './fields/VaeModelInputFieldComponent'; -import RefinerModelInputFieldComponent from './fields/RefinerModelInputFieldComponent'; - -type InputFieldComponentProps = { - nodeId: string; - field: InputFieldValue; - template: InputFieldTemplate; -}; - -// build an individual input element based on the schema -const InputFieldComponent = (props: InputFieldComponentProps) => { - const { nodeId, field, template } = props; - const { type } = field; - - if (type === 'string' && template.type === 'string') { - return ( - - ); - } - - if (type === 'boolean' && template.type === 'boolean') { - return ( - - ); - } - - if ( - (type === 'integer' && template.type === 'integer') || - (type === 'float' && template.type === 'float') - ) { - return ( - - ); - } - - if (type === 'enum' && template.type === 'enum') { - return ( - - ); - } - - if (type === 'image' && template.type === 'image') { - return ( - - ); - } - - if (type === 'latents' && template.type === 'latents') { - return ( - - ); - } - - if (type === 'conditioning' && template.type === 'conditioning') { - return ( - - ); - } - - if (type === 'unet' && template.type === 'unet') { - return ( - - ); - } - - if (type === 'clip' && template.type === 'clip') { - return ( - - ); - } - - if (type === 'vae' && template.type === 'vae') { - return ( - - ); - } - - if (type === 'control' && template.type === 'control') { - return ( - - ); - } - - if (type === 'model' && template.type === 'model') { - return ( - - ); - } - - if (type === 'refiner_model' && template.type === 'refiner_model') { - return ( - - ); - } - - if (type === 'vae_model' && template.type === 'vae_model') { - return ( - - ); - } - - if (type === 'lora_model' && template.type === 'lora_model') { - return ( - - ); - } - - if (type === 'controlnet_model' && template.type === 'controlnet_model') { - return ( - - ); - } - - if (type === 'array' && template.type === 'array') { - return ( - - ); - } - - if (type === 'item' && template.type === 'item') { - return ( - - ); - } - - if (type === 'color' && template.type === 'color') { - return ( - - ); - } - - if (type === 'item' && template.type === 'item') { - return ( - - ); - } - - if (type === 'image_collection' && template.type === 'image_collection') { - return ( - - ); - } - - return Unknown field type: {type}; -}; - -export default memo(InputFieldComponent); diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx new file mode 100644 index 0000000000..6c610d7f34 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx @@ -0,0 +1,74 @@ +import { Flex } from '@chakra-ui/react'; +import { useFieldNames, useWithFooter } from 'features/nodes/hooks/useNodeData'; +import { memo } from 'react'; +import InputField from '../fields/InputField'; +import OutputField from '../fields/OutputField'; +import NodeFooter from './NodeFooter'; +import NodeHeader from './NodeHeader'; +import NodeWrapper from './NodeWrapper'; + +type Props = { + nodeId: string; + isOpen: boolean; + label: string; + type: string; + selected: boolean; +}; + +const InvocationNode = ({ nodeId, isOpen, label, type, selected }: Props) => { + const inputFieldNames = useFieldNames(nodeId, 'input'); + const outputFieldNames = useFieldNames(nodeId, 'output'); + const withFooter = useWithFooter(nodeId); + + return ( + + + {isOpen && ( + <> + + + {outputFieldNames.map((fieldName) => ( + + ))} + {inputFieldNames.map((fieldName) => ( + + ))} + + + {withFooter && } + + )} + + ); +}; + +export default memo(InvocationNode); diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx new file mode 100644 index 0000000000..2648e68607 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx @@ -0,0 +1,56 @@ +import { ChevronUpIcon } from '@chakra-ui/icons'; +import { useAppDispatch } from 'app/store/storeHooks'; +import IAIIconButton from 'common/components/IAIIconButton'; +import { nodeIsOpenChanged } from 'features/nodes/store/nodesSlice'; +import { memo, useCallback } from 'react'; +import { useUpdateNodeInternals } from 'reactflow'; + +interface Props { + nodeId: string; + isOpen: boolean; +} + +const NodeCollapseButton = ({ nodeId, isOpen }: Props) => { + const dispatch = useAppDispatch(); + const updateNodeInternals = useUpdateNodeInternals(); + + const handleClick = useCallback(() => { + dispatch(nodeIsOpenChanged({ nodeId, isOpen: !isOpen })); + updateNodeInternals(nodeId); + }, [dispatch, isOpen, nodeId, updateNodeInternals]); + + return ( + + } + /> + ); +}; + +export default memo(NodeCollapseButton); diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx new file mode 100644 index 0000000000..32dd554ef4 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx @@ -0,0 +1,74 @@ +import { useColorModeValue } from '@chakra-ui/react'; +import { useChakraThemeTokens } from 'common/hooks/useChakraThemeTokens'; +import { useNodeData } from 'features/nodes/hooks/useNodeData'; +import { isInvocationNodeData } from 'features/nodes/types/types'; +import { map } from 'lodash-es'; +import { CSSProperties, memo, useMemo } from 'react'; +import { Handle, Position } from 'reactflow'; + +interface Props { + nodeId: string; +} + +const NodeCollapsedHandles = ({ nodeId }: Props) => { + const data = useNodeData(nodeId); + const { base400, base600 } = useChakraThemeTokens(); + const backgroundColor = useColorModeValue(base400, base600); + + const dummyHandleStyles: CSSProperties = useMemo( + () => ({ + borderWidth: 0, + borderRadius: '3px', + width: '1rem', + height: '1rem', + backgroundColor, + zIndex: -1, + }), + [backgroundColor] + ); + + if (!isInvocationNodeData(data)) { + return null; + } + + return ( + <> + + {map(data.inputs, (input) => ( + + ))} + + {map(data.outputs, (output) => ( + + ))} + + ); +}; + +export default memo(NodeCollapsedHandles); diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx new file mode 100644 index 0000000000..c858872b57 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx @@ -0,0 +1,76 @@ +import { + Checkbox, + Flex, + FormControl, + FormLabel, + Spacer, +} from '@chakra-ui/react'; +import { useAppDispatch } from 'app/store/storeHooks'; +import { + useHasImageOutput, + useIsIntermediate, +} from 'features/nodes/hooks/useNodeData'; +import { fieldBooleanValueChanged } from 'features/nodes/store/nodesSlice'; +import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants'; +import { ChangeEvent, memo, useCallback } from 'react'; + +type Props = { + nodeId: string; +}; + +const NodeFooter = ({ nodeId }: Props) => { + return ( + + + + + ); +}; + +export default memo(NodeFooter); + +const SaveImageCheckbox = memo(({ nodeId }: { nodeId: string }) => { + const dispatch = useAppDispatch(); + const hasImageOutput = useHasImageOutput(nodeId); + const is_intermediate = useIsIntermediate(nodeId); + const handleChangeIsIntermediate = useCallback( + (e: ChangeEvent) => { + dispatch( + fieldBooleanValueChanged({ + nodeId, + fieldName: 'is_intermediate', + value: !e.target.checked, + }) + ); + }, + [dispatch, nodeId] + ); + + if (!hasImageOutput) { + return null; + } + + return ( + + Save Output + + + ); +}); + +SaveImageCheckbox.displayName = 'SaveImageCheckbox'; diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx new file mode 100644 index 0000000000..ea503a8f27 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx @@ -0,0 +1,44 @@ +import { Flex } from '@chakra-ui/react'; +import { memo } from 'react'; +import NodeCollapseButton from '../Invocation/NodeCollapseButton'; +import NodeCollapsedHandles from '../Invocation/NodeCollapsedHandles'; +import NodeNotesEdit from '../Invocation/NodeNotesEdit'; +import NodeStatusIndicator from '../Invocation/NodeStatusIndicator'; +import NodeTitle from '../Invocation/NodeTitle'; + +type Props = { + nodeId: string; + isOpen: boolean; + label: string; + type: string; + selected: boolean; +}; + +const NodeHeader = ({ nodeId, isOpen }: Props) => { + return ( + + + + + + + + {!isOpen && } + + ); +}; + +export default memo(NodeHeader); diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx new file mode 100644 index 0000000000..fa5a9d76fb --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx @@ -0,0 +1,127 @@ +import { + Flex, + FormControl, + FormLabel, + Icon, + Modal, + ModalBody, + ModalCloseButton, + ModalContent, + ModalFooter, + ModalHeader, + ModalOverlay, + Text, + Tooltip, + useDisclosure, +} from '@chakra-ui/react'; +import { useAppDispatch } from 'app/store/storeHooks'; +import IAITextarea from 'common/components/IAITextarea'; +import { + useNodeData, + useNodeLabel, + useNodeTemplate, + useNodeTemplateTitle, +} from 'features/nodes/hooks/useNodeData'; +import { nodeNotesChanged } from 'features/nodes/store/nodesSlice'; +import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants'; +import { isInvocationNodeData } from 'features/nodes/types/types'; +import { ChangeEvent, memo, useCallback } from 'react'; +import { FaInfoCircle } from 'react-icons/fa'; + +interface Props { + nodeId: string; +} + +const NodeNotesEdit = ({ nodeId }: Props) => { + const { isOpen, onOpen, onClose } = useDisclosure(); + const label = useNodeLabel(nodeId); + const title = useNodeTemplateTitle(nodeId); + + return ( + <> + } + placement="top" + shouldWrapChildren + > + + + + + + + + + {label || title || 'Unknown Node'} + + + + + + + + + ); +}; + +export default memo(NodeNotesEdit); + +const TooltipContent = memo(({ nodeId }: { nodeId: string }) => { + const data = useNodeData(nodeId); + const nodeTemplate = useNodeTemplate(nodeId); + + if (!isInvocationNodeData(data)) { + return Unknown Node; + } + + return ( + + {nodeTemplate?.title} + + {nodeTemplate?.description} + + {data?.notes && {data.notes}} + + ); +}); + +TooltipContent.displayName = 'TooltipContent'; + +const NotesTextarea = memo(({ nodeId }: { nodeId: string }) => { + const dispatch = useAppDispatch(); + const data = useNodeData(nodeId); + const handleNotesChanged = useCallback( + (e: ChangeEvent) => { + dispatch(nodeNotesChanged({ nodeId, notes: e.target.value })); + }, + [dispatch, nodeId] + ); + if (!isInvocationNodeData(data)) { + return null; + } + return ( + + Notes + + + ); +}); + +NotesTextarea.displayName = 'NodesTextarea'; diff --git a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeResizer.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeResizer.tsx similarity index 73% rename from invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeResizer.tsx rename to invokeai/frontend/web/src/features/nodes/components/Invocation/NodeResizer.tsx index 1aca32ec70..6391e86471 100644 --- a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeResizer.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeResizer.tsx @@ -2,7 +2,10 @@ import { NODE_MIN_WIDTH } from 'features/nodes/types/constants'; import { memo } from 'react'; import { NodeResizeControl, NodeResizerProps } from 'reactflow'; -const IAINodeResizer = (props: NodeResizerProps) => { +// this causes https://github.com/invoke-ai/InvokeAI/issues/4140 +// not using it for now + +const NodeResizer = (props: NodeResizerProps) => { const { ...rest } = props; return ( { ); }; -export default memo(IAINodeResizer); +export default memo(NodeResizer); diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeSettings.tsx new file mode 100644 index 0000000000..bf12358871 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeSettings.tsx @@ -0,0 +1,69 @@ +import { Flex } from '@chakra-ui/react'; +import { useAppDispatch } from 'app/store/storeHooks'; +import IAIIconButton from 'common/components/IAIIconButton'; +import IAIPopover from 'common/components/IAIPopover'; +import IAISwitch from 'common/components/IAISwitch'; +import { fieldBooleanValueChanged } from 'features/nodes/store/nodesSlice'; +import { InvocationNodeData } from 'features/nodes/types/types'; +import { ChangeEvent, memo, useCallback } from 'react'; +import { FaBars } from 'react-icons/fa'; + +interface Props { + data: InvocationNodeData; +} + +const NodeSettings = (props: Props) => { + const { data } = props; + const dispatch = useAppDispatch(); + + const handleChangeIsIntermediate = useCallback( + (e: ChangeEvent) => { + dispatch( + fieldBooleanValueChanged({ + nodeId: data.id, + fieldName: 'is_intermediate', + value: e.target.checked, + }) + ); + }, + [data.id, dispatch] + ); + + return ( + } + /> + } + > + + + + + ); +}; + +export default memo(NodeSettings); diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx new file mode 100644 index 0000000000..d53fec4b42 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx @@ -0,0 +1,183 @@ +import { + Badge, + CircularProgress, + Flex, + Icon, + Image, + Text, + Tooltip, +} from '@chakra-ui/react'; +import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; +import { useAppSelector } from 'app/store/storeHooks'; +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'; + +type Props = { + nodeId: string; +}; + +const iconBoxSize = 3; +const circleStyles = { + circle: { + transitionProperty: 'none', + transitionDuration: '0s', + }, + '.chakra-progress__track': { stroke: 'transparent' }, +}; + +const NodeStatusIndicator = ({ nodeId }: Props) => { + const selectNodeExecutionState = useMemo( + () => + createSelector( + stateSelector, + ({ nodes }) => nodes.nodeExecutionStates[nodeId] + ), + [nodeId] + ); + + const nodeExecutionState = useAppSelector(selectNodeExecutionState); + + if (!nodeExecutionState) { + return null; + } + + return ( + } + placement="top" + > + + + + + ); +}; + +export default memo(NodeStatusIndicator); + +type TooltipLabelProps = { + nodeExecutionState: NodeExecutionState; +}; + +const TooltipLabel = memo(({ nodeExecutionState }: TooltipLabelProps) => { + const { status, progress, progressImage } = nodeExecutionState; + if (status === NodeStatus.PENDING) { + return Pending; + } + + if (status === NodeStatus.IN_PROGRESS) { + if (progressImage) { + return ( + + + {progress !== null && ( + + {Math.round(progress * 100)}% + + )} + + ); + } + + if (progress !== null) { + return In Progress ({Math.round(progress * 100)}%); + } + + return In Progress; + } + + if (status === NodeStatus.COMPLETED) { + return Completed; + } + + if (status === NodeStatus.FAILED) { + return nodeExecutionState.error; + } + + return null; +}); + +TooltipLabel.displayName = 'TooltipLabel'; + +type StatusIconProps = { + nodeExecutionState: NodeExecutionState; +}; + +const StatusIcon = memo((props: StatusIconProps) => { + const { progress, status } = props.nodeExecutionState; + if (status === NodeStatus.PENDING) { + return ( + + ); + } + if (status === NodeStatus.IN_PROGRESS) { + return progress === null ? ( + + ) : ( + + ); + } + if (status === NodeStatus.COMPLETED) { + return ( + + ); + } + if (status === NodeStatus.FAILED) { + return ( + + ); + } + return null; +}); + +StatusIcon.displayName = 'StatusIcon'; diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx new file mode 100644 index 0000000000..d816f3cea1 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx @@ -0,0 +1,126 @@ +import { + Box, + Editable, + EditableInput, + EditablePreview, + Flex, + useEditableControls, +} from '@chakra-ui/react'; +import { useAppDispatch } from 'app/store/storeHooks'; +import { + useNodeLabel, + useNodeTemplateTitle, +} from 'features/nodes/hooks/useNodeData'; +import { nodeLabelChanged } from 'features/nodes/store/nodesSlice'; +import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants'; +import { MouseEvent, memo, useCallback, useEffect, useState } from 'react'; + +type Props = { + nodeId: string; + title?: string; +}; + +const NodeTitle = ({ nodeId, title }: Props) => { + const dispatch = useAppDispatch(); + const label = useNodeLabel(nodeId); + const templateTitle = useNodeTemplateTitle(nodeId); + + const [localTitle, setLocalTitle] = useState(''); + const handleSubmit = useCallback( + async (newTitle: string) => { + dispatch(nodeLabelChanged({ nodeId, label: newTitle })); + setLocalTitle(newTitle || title || 'Problem Setting Title'); + }, + [nodeId, dispatch, title] + ); + + const handleChange = useCallback((newTitle: string) => { + setLocalTitle(newTitle); + }, []); + + useEffect(() => { + // Another component may change the title; sync local title with global state + setLocalTitle(label || title || templateTitle || 'Problem Setting Title'); + }, [label, templateTitle, title]); + + return ( + + + + + + + + ); +}; + +export default memo(NodeTitle); + +function EditableControls() { + const { isEditing, getEditButtonProps } = useEditableControls(); + const handleDoubleClick = useCallback( + (e: MouseEvent) => { + const { onClick } = getEditButtonProps(); + if (!onClick) { + return; + } + onClick(e); + }, + [getEditButtonProps] + ); + + if (isEditing) { + return null; + } + + return ( + + ); +} diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx new file mode 100644 index 0000000000..68ed0684ed --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx @@ -0,0 +1,99 @@ +import { + Box, + ChakraProps, + useColorModeValue, + useToken, +} from '@chakra-ui/react'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { nodeClicked } from 'features/nodes/store/nodesSlice'; +import { + MouseEvent, + PropsWithChildren, + memo, + useCallback, + useMemo, +} from 'react'; +import { DRAG_HANDLE_CLASSNAME, NODE_WIDTH } from '../../types/constants'; + +const useNodeSelect = (nodeId: string) => { + const dispatch = useAppDispatch(); + + const selectNode = useCallback( + (e: MouseEvent) => { + dispatch(nodeClicked({ nodeId, ctrlOrMeta: e.ctrlKey || e.metaKey })); + }, + [dispatch, nodeId] + ); + + return selectNode; +}; + +type NodeWrapperProps = PropsWithChildren & { + nodeId: string; + selected: boolean; + width?: NonNullable['w']; +}; + +const NodeWrapper = (props: NodeWrapperProps) => { + const { width, children, nodeId, selected } = props; + + const [ + nodeSelectedOutlineLight, + nodeSelectedOutlineDark, + shadowsXl, + shadowsBase, + ] = useToken('shadows', [ + 'nodeSelectedOutline.light', + 'nodeSelectedOutline.dark', + 'shadows.xl', + 'shadows.base', + ]); + + const selectNode = useNodeSelect(nodeId); + + const shadow = useColorModeValue( + nodeSelectedOutlineLight, + nodeSelectedOutlineDark + ); + + const shift = useAppSelector((state) => state.hotkeys.shift); + const opacity = useAppSelector((state) => state.nodes.nodeOpacity); + const className = useMemo( + () => (shift ? DRAG_HANDLE_CLASSNAME : 'nopan'), + [shift] + ); + + return ( + + + {children} + + ); +}; + +export default memo(NodeWrapper); diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx new file mode 100644 index 0000000000..664a788b5a --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx @@ -0,0 +1,75 @@ +import { Box, Flex, Text } from '@chakra-ui/react'; +import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants'; +import { memo } from 'react'; +import NodeCollapseButton from '../Invocation/NodeCollapseButton'; +import NodeWrapper from '../Invocation/NodeWrapper'; + +type Props = { + nodeId: string; + isOpen: boolean; + label: string; + type: string; + selected: boolean; +}; + +const UnknownNodeFallback = ({ + nodeId, + isOpen, + label, + type, + selected, +}: Props) => { + return ( + + + + + {label ? `${label} (${type})` : type} + + + {isOpen && ( + + + Unknown node type: + + {type} + + + + )} + + ); +}; + +export default memo(UnknownNodeFallback); diff --git a/invokeai/frontend/web/src/features/nodes/components/InvocationComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/InvocationComponent.tsx deleted file mode 100644 index 4c031afaff..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/InvocationComponent.tsx +++ /dev/null @@ -1,74 +0,0 @@ -import { Flex, Icon } from '@chakra-ui/react'; -import { FaExclamationCircle } from 'react-icons/fa'; -import { NodeProps } from 'reactflow'; -import { InvocationValue } from '../types/types'; - -import { useAppSelector } from 'app/store/storeHooks'; -import { memo, useMemo } from 'react'; -import { makeTemplateSelector } from '../store/util/makeTemplateSelector'; -import IAINodeHeader from './IAINode/IAINodeHeader'; -import IAINodeInputs from './IAINode/IAINodeInputs'; -import IAINodeOutputs from './IAINode/IAINodeOutputs'; -import IAINodeResizer from './IAINode/IAINodeResizer'; -import NodeWrapper from './NodeWrapper'; - -export const InvocationComponent = memo((props: NodeProps) => { - const { id: nodeId, data, selected } = props; - const { type, inputs, outputs } = data; - - const templateSelector = useMemo(() => makeTemplateSelector(type), [type]); - - const template = useAppSelector(templateSelector); - - if (!template) { - return ( - - - - - - - ); - } - - return ( - - - - - - - - - ); -}); - -InvocationComponent.displayName = 'InvocationComponent'; diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx index 8c0480774c..5e610cfc39 100644 --- a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx @@ -1,25 +1,107 @@ -import { Box } from '@chakra-ui/react'; -import { ReactFlowProvider } from 'reactflow'; +import { Flex } from '@chakra-ui/react'; +import { useAppSelector } from 'app/store/storeHooks'; +import { IAINoContentFallback } from 'common/components/IAIImageFallback'; +import ResizeHandle from 'features/ui/components/tabs/ResizeHandle'; +import { memo, useState } from 'react'; +import { MdDeviceHub } from 'react-icons/md'; +import { Panel, PanelGroup } from 'react-resizable-panels'; import 'reactflow/dist/style.css'; - -import { memo } from 'react'; +import NodeEditorPanelGroup from './panel/NodeEditorPanelGroup'; import { Flow } from './Flow'; +import { AnimatePresence, motion } from 'framer-motion'; const NodeEditor = () => { + const [isPanelCollapsed, setIsPanelCollapsed] = useState(false); + const isReady = useAppSelector((state) => state.nodes.isReady); return ( - - - - - + + + + + + + + {isReady && ( + + + + )} + + + {!isReady && ( + + + + + + )} + + + + ); }; diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx new file mode 100644 index 0000000000..b942b2b3c0 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx @@ -0,0 +1,144 @@ +import { + Divider, + Flex, + Heading, + Modal, + ModalBody, + ModalCloseButton, + ModalContent, + ModalHeader, + ModalOverlay, + useDisclosure, +} 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 IAISwitch from 'common/components/IAISwitch'; +import { ChangeEvent, memo, useCallback } from 'react'; +import { FaCog } from 'react-icons/fa'; +import { + shouldAnimateEdgesChanged, + shouldColorEdgesChanged, + shouldSnapToGridChanged, + shouldValidateGraphChanged, +} from '../store/nodesSlice'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; + +const selector = createSelector( + stateSelector, + ({ nodes }) => { + const { + shouldAnimateEdges, + shouldValidateGraph, + shouldSnapToGrid, + shouldColorEdges, + } = nodes; + return { + shouldAnimateEdges, + shouldValidateGraph, + shouldSnapToGrid, + shouldColorEdges, + }; + }, + defaultSelectorOptions +); + +const NodeEditorSettings = () => { + const { isOpen, onOpen, onClose } = useDisclosure(); + const dispatch = useAppDispatch(); + const { + shouldAnimateEdges, + shouldValidateGraph, + shouldSnapToGrid, + shouldColorEdges, + } = useAppSelector(selector); + + const handleChangeShouldValidate = useCallback( + (e: ChangeEvent) => { + dispatch(shouldValidateGraphChanged(e.target.checked)); + }, + [dispatch] + ); + + const handleChangeShouldAnimate = useCallback( + (e: ChangeEvent) => { + dispatch(shouldAnimateEdgesChanged(e.target.checked)); + }, + [dispatch] + ); + + const handleChangeShouldSnap = useCallback( + (e: ChangeEvent) => { + dispatch(shouldSnapToGridChanged(e.target.checked)); + }, + [dispatch] + ); + + const handleChangeShouldColor = useCallback( + (e: ChangeEvent) => { + dispatch(shouldColorEdgesChanged(e.target.checked)); + }, + [dispatch] + ); + + return ( + <> + } + onClick={onOpen} + /> + + + + + Node Editor Settings + + + + General + + + + + + + Advanced + + + + + + + + ); +}; + +export default memo(NodeEditorSettings); diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeGraphOverlay.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeGraphOverlay.tsx index 1d498f19f5..4525dc5f6b 100644 --- a/invokeai/frontend/web/src/features/nodes/components/NodeGraphOverlay.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/NodeGraphOverlay.tsx @@ -1,34 +1,26 @@ -import { Box } from '@chakra-ui/react'; import { RootState } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; -import { memo } from 'react'; +import ImageMetadataJSON from 'features/gallery/components/ImageMetadataViewer/ImageMetadataJSON'; +import { omit } from 'lodash-es'; +import { useMemo } from 'react'; +import { useDebounce } from 'use-debounce'; import { buildNodesGraph } from '../util/graphBuilders/buildNodesGraph'; -const NodeGraphOverlay = () => { - const state = useAppSelector((state: RootState) => state); - const graph = buildNodesGraph(state); - - return ( - - {JSON.stringify(graph, null, 2)} - +const useNodesGraph = () => { + const nodes = useAppSelector((state: RootState) => state.nodes); + const [debouncedNodes] = useDebounce(nodes, 300); + const graph = useMemo( + () => omit(buildNodesGraph(debouncedNodes), 'id'), + [debouncedNodes] ); + + return graph; }; -export default memo(NodeGraphOverlay); +const NodeGraph = () => { + const graph = useNodesGraph(); + + return ; +}; + +export default NodeGraph; diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeOpacitySlider.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeOpacitySlider.tsx new file mode 100644 index 0000000000..693940859f --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/NodeOpacitySlider.tsx @@ -0,0 +1,42 @@ +import { + Box, + Slider, + SliderFilledTrack, + SliderThumb, + SliderTrack, +} from '@chakra-ui/react'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useCallback } from 'react'; +import { nodeOpacityChanged } from '../store/nodesSlice'; + +export default function NodeOpacitySlider() { + const dispatch = useAppDispatch(); + const nodeOpacity = useAppSelector((state) => state.nodes.nodeOpacity); + + const handleChange = useCallback( + (v: number) => { + dispatch(nodeOpacityChanged(v)); + }, + [dispatch] + ); + + return ( + + + + + + + + + ); +} diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeWrapper.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeWrapper.tsx deleted file mode 100644 index bc7944a28b..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/NodeWrapper.tsx +++ /dev/null @@ -1,36 +0,0 @@ -import { Box, useToken } from '@chakra-ui/react'; -import { useAppSelector } from 'app/store/storeHooks'; -import { PropsWithChildren } from 'react'; -import { DRAG_HANDLE_CLASSNAME } from '../hooks/useBuildInvocation'; -import { NODE_MIN_WIDTH } from '../types/constants'; - -type NodeWrapperProps = PropsWithChildren & { - selected: boolean; -}; - -const NodeWrapper = (props: NodeWrapperProps) => { - const [nodeSelectedOutline, nodeShadow] = useToken('shadows', [ - 'nodeSelectedOutline', - 'dark-lg', - ]); - - const shift = useAppSelector((state) => state.hotkeys.shift); - - return ( - - {props.children} - - ); -}; - -export default NodeWrapper; diff --git a/invokeai/frontend/web/src/features/nodes/components/ProgressImageNode.tsx b/invokeai/frontend/web/src/features/nodes/components/ProgressImageNode.tsx deleted file mode 100644 index 142e2a2990..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/ProgressImageNode.tsx +++ /dev/null @@ -1,73 +0,0 @@ -import { Flex, Image } from '@chakra-ui/react'; -import { RootState } from 'app/store/store'; -import { IAINoContentFallback } from 'common/components/IAIImageFallback'; -import { memo } from 'react'; -import { useDispatch, useSelector } from 'react-redux'; -import { NodeProps, OnResize } from 'reactflow'; -import { setProgressNodeSize } from '../store/nodesSlice'; -import IAINodeHeader from './IAINode/IAINodeHeader'; -import IAINodeResizer from './IAINode/IAINodeResizer'; -import NodeWrapper from './NodeWrapper'; - -const ProgressImageNode = (props: NodeProps) => { - const progressImage = useSelector( - (state: RootState) => state.system.progressImage - ); - const progressNodeSize = useSelector( - (state: RootState) => state.nodes.progressNodeSize - ); - const dispatch = useDispatch(); - const { selected } = props; - - const handleResize: OnResize = (_, newSize) => { - dispatch(setProgressNodeSize(newSize)); - }; - - return ( - - - - {progressImage ? ( - - ) : ( - - - - )} - - - - ); -}; - -export default memo(ProgressImageNode); diff --git a/invokeai/frontend/web/src/features/nodes/components/ViewportControls.tsx b/invokeai/frontend/web/src/features/nodes/components/ViewportControls.tsx index 796cdb010e..7416c6c555 100644 --- a/invokeai/frontend/web/src/features/nodes/components/ViewportControls.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/ViewportControls.tsx @@ -2,18 +2,16 @@ import { ButtonGroup, Tooltip } from '@chakra-ui/react'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import { memo, useCallback } from 'react'; -import { - FaCode, - FaExpand, - FaMinus, - FaPlus, - FaInfo, - FaMapMarkerAlt, -} from 'react-icons/fa'; -import { useReactFlow } from 'reactflow'; import { useTranslation } from 'react-i18next'; import { - shouldShowGraphOverlayChanged, + FaExpand, + FaInfo, + FaMapMarkerAlt, + FaMinus, + FaPlus, +} from 'react-icons/fa'; +import { useReactFlow } from 'reactflow'; +import { shouldShowFieldTypeLegendChanged, shouldShowMinimapPanelChanged, } from '../store/nodesSlice'; @@ -22,9 +20,6 @@ const ViewportControls = () => { const { t } = useTranslation(); const { zoomIn, zoomOut, fitView } = useReactFlow(); const dispatch = useAppDispatch(); - const shouldShowGraphOverlay = useAppSelector( - (state) => state.nodes.shouldShowGraphOverlay - ); const shouldShowFieldTypeLegend = useAppSelector( (state) => state.nodes.shouldShowFieldTypeLegend ); @@ -44,10 +39,6 @@ const ViewportControls = () => { fitView(); }, [fitView]); - const handleClickedToggleGraphOverlay = useCallback(() => { - dispatch(shouldShowGraphOverlayChanged(!shouldShowGraphOverlay)); - }, [shouldShowGraphOverlay, dispatch]); - const handleClickedToggleFieldTypeLegend = useCallback(() => { dispatch(shouldShowFieldTypeLegendChanged(!shouldShowFieldTypeLegend)); }, [shouldShowFieldTypeLegend, dispatch]); @@ -79,20 +70,6 @@ const ViewportControls = () => { icon={} /> - - } - /> - ( - + + + + ); diff --git a/invokeai/frontend/web/src/features/nodes/components/panels/MinimapPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/editorPanels/MinimapPanel.tsx similarity index 91% rename from invokeai/frontend/web/src/features/nodes/components/panels/MinimapPanel.tsx rename to invokeai/frontend/web/src/features/nodes/components/editorPanels/MinimapPanel.tsx index 39142ed48e..8b7fb942a6 100644 --- a/invokeai/frontend/web/src/features/nodes/components/panels/MinimapPanel.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/editorPanels/MinimapPanel.tsx @@ -20,7 +20,7 @@ const MinimapPanel = () => { const nodeColor = useColorModeValue( 'var(--invokeai-colors-accent-300)', - 'var(--invokeai-colors-accent-700)' + 'var(--invokeai-colors-accent-600)' ); const maskColor = useColorModeValue( @@ -32,10 +32,9 @@ const MinimapPanel = () => { <> {shouldShowMinimapPanel && ( { return ( @@ -15,9 +14,8 @@ const TopCenterPanel = () => { - - + ); diff --git a/invokeai/frontend/web/src/features/nodes/components/panels/TopLeftPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/editorPanels/TopLeftPanel.tsx similarity index 100% rename from invokeai/frontend/web/src/features/nodes/components/panels/TopLeftPanel.tsx rename to invokeai/frontend/web/src/features/nodes/components/editorPanels/TopLeftPanel.tsx diff --git a/invokeai/frontend/web/src/features/nodes/components/panels/TopRightPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/editorPanels/TopRightPanel.tsx similarity index 55% rename from invokeai/frontend/web/src/features/nodes/components/panels/TopRightPanel.tsx rename to invokeai/frontend/web/src/features/nodes/components/editorPanels/TopRightPanel.tsx index e3e3a871c8..7facf3973f 100644 --- a/invokeai/frontend/web/src/features/nodes/components/panels/TopRightPanel.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/editorPanels/TopRightPanel.tsx @@ -1,22 +1,16 @@ -import { RootState } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; import { memo } from 'react'; import { Panel } from 'reactflow'; import FieldTypeLegend from '../FieldTypeLegend'; -import NodeGraphOverlay from '../NodeGraphOverlay'; const TopRightPanel = () => { - const shouldShowGraphOverlay = useAppSelector( - (state: RootState) => state.nodes.shouldShowGraphOverlay - ); const shouldShowFieldTypeLegend = useAppSelector( - (state: RootState) => state.nodes.shouldShowFieldTypeLegend + (state) => state.nodes.shouldShowFieldTypeLegend ); return ( {shouldShowFieldTypeLegend && } - {shouldShowGraphOverlay && } ); }; diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ArrayInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/ArrayInputFieldComponent.tsx deleted file mode 100644 index 8e478c907c..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/fields/ArrayInputFieldComponent.tsx +++ /dev/null @@ -1,15 +0,0 @@ -import { - ArrayInputFieldTemplate, - ArrayInputFieldValue, -} from 'features/nodes/types/types'; -import { memo } from 'react'; -import { FaList } from 'react-icons/fa'; -import { FieldComponentProps } from './types'; - -const ArrayInputFieldComponent = ( - _props: FieldComponentProps -) => { - return ; -}; - -export default memo(ArrayInputFieldComponent); diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/EnumInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/EnumInputFieldComponent.tsx deleted file mode 100644 index 5f26bc4f2a..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/fields/EnumInputFieldComponent.tsx +++ /dev/null @@ -1,37 +0,0 @@ -import { Select } from '@chakra-ui/react'; -import { useAppDispatch } from 'app/store/storeHooks'; -import { fieldValueChanged } from 'features/nodes/store/nodesSlice'; -import { - EnumInputFieldTemplate, - EnumInputFieldValue, -} from 'features/nodes/types/types'; -import { ChangeEvent, memo } from 'react'; -import { FieldComponentProps } from './types'; - -const EnumInputFieldComponent = ( - props: FieldComponentProps -) => { - const { nodeId, field, template } = props; - - const dispatch = useAppDispatch(); - - const handleValueChanged = (e: ChangeEvent) => { - dispatch( - fieldValueChanged({ - nodeId, - fieldName: field.name, - value: e.target.value, - }) - ); - }; - - return ( - - ); -}; - -export default memo(EnumInputFieldComponent); diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldContextMenu.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldContextMenu.tsx new file mode 100644 index 0000000000..d9f8f951bc --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldContextMenu.tsx @@ -0,0 +1,47 @@ +import { MenuItem, MenuList } from '@chakra-ui/react'; +import { ContextMenu, ContextMenuProps } from 'chakra-ui-contextmenu'; +import { + InputFieldTemplate, + InputFieldValue, +} from 'features/nodes/types/types'; +import { MouseEvent, useCallback } from 'react'; +import { menuListMotionProps } from 'theme/components/menu'; + +type Props = { + nodeId: string; + field: InputFieldValue; + fieldTemplate: InputFieldTemplate; + children: ContextMenuProps['children']; +}; + +const FieldContextMenu = (props: Props) => { + const skipEvent = useCallback((e: MouseEvent) => { + e.preventDefault(); + }, []); + + return ( + + menuProps={{ + size: 'sm', + isLazy: true, + }} + menuButtonProps={{ + bg: 'transparent', + _hover: { bg: 'transparent' }, + }} + renderMenu={() => ( + + Test + + )} + > + {props.children} + + ); +}; + +export default FieldContextMenu; diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx new file mode 100644 index 0000000000..f79a57a4eb --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx @@ -0,0 +1,112 @@ +import { Tooltip } from '@chakra-ui/react'; +import { CSSProperties, memo, useMemo } from 'react'; +import { Handle, HandleType, Position } from 'reactflow'; +import { + FIELDS, + HANDLE_TOOLTIP_OPEN_DELAY, + colorTokenToCssVar, +} from '../../types/constants'; +import { InputFieldTemplate, OutputFieldTemplate } from '../../types/types'; + +export const handleBaseStyles: CSSProperties = { + position: 'absolute', + width: '1rem', + height: '1rem', + borderWidth: 0, + zIndex: 1, +}; + +export const inputHandleStyles: CSSProperties = { + left: '-1rem', +}; + +export const outputHandleStyles: CSSProperties = { + right: '-0.5rem', +}; + +type FieldHandleProps = { + fieldTemplate: InputFieldTemplate | OutputFieldTemplate; + handleType: HandleType; + isConnectionInProgress: boolean; + isConnectionStartField: boolean; + connectionError: string | null; +}; + +const FieldHandle = (props: FieldHandleProps) => { + const { + fieldTemplate, + handleType, + isConnectionInProgress, + isConnectionStartField, + connectionError, + } = props; + const { name, type } = fieldTemplate; + const { color, title } = FIELDS[type]; + + const styles: CSSProperties = useMemo(() => { + const s: CSSProperties = { + backgroundColor: colorTokenToCssVar(color), + position: 'absolute', + width: '1rem', + height: '1rem', + borderWidth: 0, + zIndex: 1, + }; + + if (handleType === 'target') { + s.insetInlineStart = '-1rem'; + } else { + s.insetInlineEnd = '-1rem'; + } + + if (isConnectionInProgress && !isConnectionStartField && connectionError) { + s.filter = 'opacity(0.4) grayscale(0.7)'; + } + + if (isConnectionInProgress && connectionError) { + if (isConnectionStartField) { + s.cursor = 'grab'; + } else { + s.cursor = 'not-allowed'; + } + } else { + s.cursor = 'crosshair'; + } + + return s; + }, [ + color, + connectionError, + handleType, + isConnectionInProgress, + isConnectionStartField, + ]); + + const tooltip = useMemo(() => { + if (isConnectionInProgress && isConnectionStartField) { + return title; + } + if (isConnectionInProgress && connectionError) { + return connectionError ?? title; + } + return title; + }, [connectionError, isConnectionInProgress, isConnectionStartField, title]); + + return ( + + + + ); +}; + +export default memo(FieldHandle); diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx new file mode 100644 index 0000000000..e9a49989f6 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx @@ -0,0 +1,163 @@ +import { + Editable, + EditableInput, + EditablePreview, + Flex, + useEditableControls, +} from '@chakra-ui/react'; +import { useAppDispatch } from 'app/store/storeHooks'; +import IAIDraggable from 'common/components/IAIDraggable'; +import { NodeFieldDraggableData } from 'features/dnd/types'; +import { + useFieldData, + useFieldTemplate, +} from 'features/nodes/hooks/useNodeData'; +import { fieldLabelChanged } from 'features/nodes/store/nodesSlice'; +import { + MouseEvent, + memo, + useCallback, + useEffect, + useMemo, + useState, +} from 'react'; + +interface Props { + nodeId: string; + fieldName: string; + isDraggable?: boolean; + kind: 'input' | 'output'; +} + +const FieldTitle = (props: Props) => { + const { nodeId, fieldName, isDraggable = false, kind } = props; + const fieldTemplate = useFieldTemplate(nodeId, fieldName, kind); + const field = useFieldData(nodeId, fieldName); + + const dispatch = useAppDispatch(); + const [localTitle, setLocalTitle] = useState( + field?.label || fieldTemplate?.title || 'Unknown Field' + ); + + const draggableData: NodeFieldDraggableData | undefined = useMemo( + () => + field && + fieldTemplate?.fieldKind === 'input' && + fieldTemplate?.input !== 'connection' && + isDraggable + ? { + id: `${nodeId}-${fieldName}`, + payloadType: 'NODE_FIELD', + payload: { nodeId, field, fieldTemplate }, + } + : undefined, + [field, fieldName, fieldTemplate, isDraggable, nodeId] + ); + + const handleSubmit = useCallback( + async (newTitle: string) => { + dispatch(fieldLabelChanged({ nodeId, fieldName, label: newTitle })); + setLocalTitle(newTitle || fieldTemplate?.title || 'Unknown Field'); + }, + [dispatch, nodeId, fieldName, fieldTemplate?.title] + ); + + const handleChange = useCallback((newTitle: string) => { + setLocalTitle(newTitle); + }, []); + + useEffect(() => { + // Another component may change the title; sync local title with global state + setLocalTitle(field?.label || fieldTemplate?.title || 'Unknown Field'); + }, [field?.label, fieldTemplate?.title]); + + return ( + + + + + + + + ); +}; + +export default memo(FieldTitle); + +type EditableControlsProps = { + draggableData?: NodeFieldDraggableData; +}; + +const EditableControls = memo((props: EditableControlsProps) => { + const { isEditing, getEditButtonProps } = useEditableControls(); + const handleDoubleClick = useCallback( + (e: MouseEvent) => { + const { onClick } = getEditButtonProps(); + if (!onClick) { + return; + } + onClick(e); + }, + [getEditButtonProps] + ); + + if (isEditing) { + return null; + } + + if (props.draggableData) { + return ( + + ); + } + + return ( + + ); +}); + +EditableControls.displayName = 'EditableControls'; diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx new file mode 100644 index 0000000000..cbe75ca580 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx @@ -0,0 +1,56 @@ +import { Flex, Text } from '@chakra-ui/react'; +import { + useFieldData, + useFieldTemplate, +} from 'features/nodes/hooks/useNodeData'; +import { FIELDS } from 'features/nodes/types/constants'; +import { + isInputFieldTemplate, + isInputFieldValue, +} from 'features/nodes/types/types'; +import { startCase } from 'lodash-es'; +import { useMemo } from 'react'; + +interface Props { + nodeId: string; + fieldName: string; + kind: 'input' | 'output'; +} + +const FieldTooltipContent = ({ nodeId, fieldName, kind }: Props) => { + const field = useFieldData(nodeId, fieldName); + const fieldTemplate = useFieldTemplate(nodeId, fieldName, kind); + const isInputTemplate = isInputFieldTemplate(fieldTemplate); + const fieldTitle = useMemo(() => { + if (isInputFieldValue(field)) { + if (field.label && fieldTemplate) { + return `${field.label} (${fieldTemplate.title})`; + } + + if (field.label && !fieldTemplate) { + return field.label; + } + + if (!field.label && fieldTemplate) { + return fieldTemplate.title; + } + + return 'Unknown Field'; + } + }, [field, fieldTemplate]); + + return ( + + {fieldTitle} + {fieldTemplate && ( + + {fieldTemplate.description} + + )} + {fieldTemplate && Type: {FIELDS[fieldTemplate.type].title}} + {isInputTemplate && Input: {startCase(fieldTemplate.input)}} + + ); +}; + +export default FieldTooltipContent; diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx new file mode 100644 index 0000000000..47033baa7b --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx @@ -0,0 +1,139 @@ +import { Flex, FormControl, FormLabel, Tooltip } from '@chakra-ui/react'; +import { useConnectionState } from 'features/nodes/hooks/useConnectionState'; +import { + useDoesInputHaveValue, + useFieldTemplate, +} from 'features/nodes/hooks/useNodeData'; +import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants'; +import { PropsWithChildren, memo, useMemo } from 'react'; +import FieldHandle from './FieldHandle'; +import FieldTitle from './FieldTitle'; +import FieldTooltipContent from './FieldTooltipContent'; +import InputFieldRenderer from './InputFieldRenderer'; + +interface Props { + nodeId: string; + fieldName: string; +} + +const InputField = ({ nodeId, fieldName }: Props) => { + const fieldTemplate = useFieldTemplate(nodeId, fieldName, 'input'); + const doesFieldHaveValue = useDoesInputHaveValue(nodeId, fieldName); + + const { + isConnected, + isConnectionInProgress, + isConnectionStartField, + connectionError, + shouldDim, + } = useConnectionState({ nodeId, fieldName, kind: 'input' }); + + const isMissingInput = useMemo(() => { + if (fieldTemplate?.fieldKind !== 'input') { + return false; + } + + if (!fieldTemplate.required) { + return false; + } + + if (!isConnected && fieldTemplate.input === 'connection') { + return true; + } + + if (!doesFieldHaveValue && !isConnected && fieldTemplate.input === 'any') { + return true; + } + }, [fieldTemplate, isConnected, doesFieldHaveValue]); + + if (fieldTemplate?.fieldKind !== 'input') { + return ( + + + Unknown input: {fieldName} + + + ); + } + + return ( + + + + } + openDelay={HANDLE_TOOLTIP_OPEN_DELAY} + placement="top" + shouldWrapChildren + hasArrow + > + + + + + + + + {fieldTemplate.input !== 'direct' && ( + + )} + + ); +}; + +export default InputField; + +type InputFieldWrapperProps = PropsWithChildren<{ + shouldDim: boolean; +}>; + +const InputFieldWrapper = memo( + ({ shouldDim, children }: InputFieldWrapperProps) => ( + + {children} + + ) +); + +InputFieldWrapper.displayName = 'InputFieldWrapper'; diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx new file mode 100644 index 0000000000..acec921d8e --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx @@ -0,0 +1,292 @@ +import { Box } from '@chakra-ui/react'; +import { + useFieldData, + useFieldTemplate, +} from 'features/nodes/hooks/useNodeData'; +import { memo } from 'react'; +import BooleanInputField from './fieldTypes/BooleanInputField'; +import ClipInputField from './fieldTypes/ClipInputField'; +import CollectionInputField from './fieldTypes/CollectionInputField'; +import CollectionItemInputField from './fieldTypes/CollectionItemInputField'; +import ColorInputField from './fieldTypes/ColorInputField'; +import ConditioningInputField from './fieldTypes/ConditioningInputField'; +import ControlInputField from './fieldTypes/ControlInputField'; +import ControlNetModelInputField from './fieldTypes/ControlNetModelInputField'; +import EnumInputField from './fieldTypes/EnumInputField'; +import ImageCollectionInputField from './fieldTypes/ImageCollectionInputField'; +import ImageInputField from './fieldTypes/ImageInputField'; +import LatentsInputField from './fieldTypes/LatentsInputField'; +import LoRAModelInputField from './fieldTypes/LoRAModelInputField'; +import MainModelInputField from './fieldTypes/MainModelInputField'; +import NumberInputField from './fieldTypes/NumberInputField'; +import RefinerModelInputField from './fieldTypes/RefinerModelInputField'; +import SDXLMainModelInputField from './fieldTypes/SDXLMainModelInputField'; +import StringInputField from './fieldTypes/StringInputField'; +import UnetInputField from './fieldTypes/UnetInputField'; +import VaeInputField from './fieldTypes/VaeInputField'; +import VaeModelInputField from './fieldTypes/VaeModelInputField'; + +type InputFieldProps = { + nodeId: string; + fieldName: string; +}; + +// build an individual input element based on the schema +const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => { + const field = useFieldData(nodeId, fieldName); + const fieldTemplate = useFieldTemplate(nodeId, fieldName, 'input'); + + if (fieldTemplate?.fieldKind === 'output') { + return Output field in input: {field?.type}; + } + + if (field?.type === 'string' && fieldTemplate?.type === 'string') { + return ( + + ); + } + + if (field?.type === 'boolean' && fieldTemplate?.type === 'boolean') { + return ( + + ); + } + + if ( + (field?.type === 'integer' && fieldTemplate?.type === 'integer') || + (field?.type === 'float' && fieldTemplate?.type === 'float') + ) { + return ( + + ); + } + + if (field?.type === 'enum' && fieldTemplate?.type === 'enum') { + return ( + + ); + } + + if (field?.type === 'ImageField' && fieldTemplate?.type === 'ImageField') { + return ( + + ); + } + + if ( + field?.type === 'LatentsField' && + fieldTemplate?.type === 'LatentsField' + ) { + return ( + + ); + } + + if ( + field?.type === 'ConditioningField' && + fieldTemplate?.type === 'ConditioningField' + ) { + return ( + + ); + } + + if (field?.type === 'UNetField' && fieldTemplate?.type === 'UNetField') { + return ( + + ); + } + + if (field?.type === 'ClipField' && fieldTemplate?.type === 'ClipField') { + return ( + + ); + } + + if (field?.type === 'VaeField' && fieldTemplate?.type === 'VaeField') { + return ( + + ); + } + + if ( + field?.type === 'ControlField' && + fieldTemplate?.type === 'ControlField' + ) { + return ( + + ); + } + + if ( + field?.type === 'MainModelField' && + fieldTemplate?.type === 'MainModelField' + ) { + return ( + + ); + } + + if ( + field?.type === 'SDXLRefinerModelField' && + fieldTemplate?.type === 'SDXLRefinerModelField' + ) { + return ( + + ); + } + + if ( + field?.type === 'VaeModelField' && + fieldTemplate?.type === 'VaeModelField' + ) { + return ( + + ); + } + + if ( + field?.type === 'LoRAModelField' && + fieldTemplate?.type === 'LoRAModelField' + ) { + return ( + + ); + } + + if ( + field?.type === 'ControlNetModelField' && + fieldTemplate?.type === 'ControlNetModelField' + ) { + return ( + + ); + } + + if (field?.type === 'Collection' && fieldTemplate?.type === 'Collection') { + return ( + + ); + } + + if ( + field?.type === 'CollectionItem' && + fieldTemplate?.type === 'CollectionItem' + ) { + return ( + + ); + } + + if (field?.type === 'ColorField' && fieldTemplate?.type === 'ColorField') { + return ( + + ); + } + + if ( + field?.type === 'ImageCollection' && + fieldTemplate?.type === 'ImageCollection' + ) { + return ( + + ); + } + + if ( + field?.type === 'SDXLMainModelField' && + fieldTemplate?.type === 'SDXLMainModelField' + ) { + return ( + + ); + } + + return Unknown field type: {field?.type}; +}; + +export default memo(InputFieldRenderer); diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ItemInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/ItemInputFieldComponent.tsx deleted file mode 100644 index 6fa89345bf..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/fields/ItemInputFieldComponent.tsx +++ /dev/null @@ -1,15 +0,0 @@ -import { - ItemInputFieldTemplate, - ItemInputFieldValue, -} from 'features/nodes/types/types'; -import { memo } from 'react'; -import { FaAddressCard } from 'react-icons/fa'; -import { FieldComponentProps } from './types'; - -const ItemInputFieldComponent = ( - _props: FieldComponentProps -) => { - return ; -}; - -export default memo(ItemInputFieldComponent); diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx new file mode 100644 index 0000000000..ea4bb76d62 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx @@ -0,0 +1,54 @@ +import { Flex, FormControl, FormLabel, Tooltip } from '@chakra-ui/react'; +import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants'; +import { memo } from 'react'; +import FieldTitle from './FieldTitle'; +import FieldTooltipContent from './FieldTooltipContent'; +import InputFieldRenderer from './InputFieldRenderer'; + +type Props = { + nodeId: string; + fieldName: string; +}; + +const LinearViewField = ({ nodeId, fieldName }: Props) => { + return ( + + + + } + openDelay={HANDLE_TOOLTIP_OPEN_DELAY} + placement="top" + shouldWrapChildren + hasArrow + > + + + + + + + + ); +}; + +export default memo(LinearViewField); diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx new file mode 100644 index 0000000000..2a257d741e --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx @@ -0,0 +1,100 @@ +import { + Flex, + FormControl, + FormLabel, + Spacer, + Tooltip, +} from '@chakra-ui/react'; +import { useConnectionState } from 'features/nodes/hooks/useConnectionState'; +import { useFieldTemplate } from 'features/nodes/hooks/useNodeData'; +import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants'; +import { PropsWithChildren, memo } from 'react'; +import FieldHandle from './FieldHandle'; +import FieldTooltipContent from './FieldTooltipContent'; + +interface Props { + nodeId: string; + fieldName: string; +} + +const OutputField = ({ nodeId, fieldName }: Props) => { + const fieldTemplate = useFieldTemplate(nodeId, fieldName, 'output'); + + const { + isConnected, + isConnectionInProgress, + isConnectionStartField, + connectionError, + shouldDim, + } = useConnectionState({ nodeId, fieldName, kind: 'output' }); + + if (fieldTemplate?.fieldKind !== 'output') { + return ( + + + Unknown output: {fieldName} + + + ); + } + + return ( + + + + } + openDelay={HANDLE_TOOLTIP_OPEN_DELAY} + placement="top" + shouldWrapChildren + hasArrow + > + + + {fieldTemplate?.title} + + + + + + ); +}; + +export default memo(OutputField); + +type OutputFieldWrapperProps = PropsWithChildren<{ + shouldDim: boolean; +}>; + +const OutputFieldWrapper = memo( + ({ shouldDim, children }: OutputFieldWrapperProps) => ( + + {children} + + ) +); + +OutputFieldWrapper.displayName = 'OutputFieldWrapper'; diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/StringInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/StringInputFieldComponent.tsx deleted file mode 100644 index 18cf7e997f..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/fields/StringInputFieldComponent.tsx +++ /dev/null @@ -1,36 +0,0 @@ -import { Input, Textarea } from '@chakra-ui/react'; -import { useAppDispatch } from 'app/store/storeHooks'; -import { fieldValueChanged } from 'features/nodes/store/nodesSlice'; -import { - StringInputFieldTemplate, - StringInputFieldValue, -} from 'features/nodes/types/types'; -import { ChangeEvent, memo } from 'react'; -import { FieldComponentProps } from './types'; - -const StringInputFieldComponent = ( - props: FieldComponentProps -) => { - const { nodeId, field } = props; - const dispatch = useAppDispatch(); - - const handleValueChanged = ( - e: ChangeEvent - ) => { - dispatch( - fieldValueChanged({ - nodeId, - fieldName: field.name, - value: e.target.value, - }) - ); - }; - - return ['prompt', 'style'].includes(field.name.toLowerCase()) ? ( -