mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
495 lines
14 KiB
Python
495 lines
14 KiB
Python
# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
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from typing import Literal, Optional, Tuple, Union
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from anyio import Condition
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from pydantic import BaseModel, Field
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import torch
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from .baseinvocation import (
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BaseInvocation,
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BaseInvocationOutput,
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FieldDescriptions,
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Input,
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InputField,
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InvocationContext,
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OutputField,
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UIComponent,
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UIType,
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tags,
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title,
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)
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"""
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Primitives: Boolean, Integer, Float, String, Image, Latents, Conditioning, Color
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- primitive nodes
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- primitive outputs
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- primitive collection outputs
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"""
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# region Boolean
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class BooleanOutput(BaseInvocationOutput):
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"""Base class for nodes that output a single boolean"""
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type: Literal["boolean_output"] = "boolean_output"
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a: bool = OutputField(description="The output boolean")
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class BooleanCollectionOutput(BaseInvocationOutput):
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"""Base class for nodes that output a collection of booleans"""
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type: Literal["boolean_collection_output"] = "boolean_collection_output"
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# Outputs
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collection: list[bool] = OutputField(
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default_factory=list, description="The output boolean collection", ui_type=UIType.BooleanCollection
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)
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@title("Boolean")
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@tags("primitives", "boolean")
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class BooleanInvocation(BaseInvocation):
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"""A boolean primitive value"""
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type: Literal["boolean"] = "boolean"
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# Inputs
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a: bool = InputField(default=False, description="The boolean value")
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def invoke(self, context: InvocationContext) -> BooleanOutput:
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return BooleanOutput(a=self.a)
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@title("Boolean Collection")
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@tags("primitives", "boolean", "collection")
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class BooleanCollectionInvocation(BaseInvocation):
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"""A collection of boolean primitive values"""
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type: Literal["boolean_collection"] = "boolean_collection"
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# Inputs
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collection: list[bool] = InputField(
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default=False, description="The collection of boolean values", ui_type=UIType.BooleanCollection
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)
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def invoke(self, context: InvocationContext) -> BooleanCollectionOutput:
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return BooleanCollectionOutput(collection=self.collection)
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# endregion
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# region Integer
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class IntegerOutput(BaseInvocationOutput):
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"""Base class for nodes that output a single integer"""
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type: Literal["integer_output"] = "integer_output"
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a: int = OutputField(description="The output integer")
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class IntegerCollectionOutput(BaseInvocationOutput):
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"""Base class for nodes that output a collection of integers"""
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type: Literal["integer_collection_output"] = "integer_collection_output"
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# Outputs
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collection: list[int] = OutputField(
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default_factory=list, description="The int collection", ui_type=UIType.IntegerCollection
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)
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@title("Integer")
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@tags("primitives", "integer")
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class IntegerInvocation(BaseInvocation):
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"""An integer primitive value"""
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type: Literal["integer"] = "integer"
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# Inputs
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a: int = InputField(default=0, description="The integer value")
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def invoke(self, context: InvocationContext) -> IntegerOutput:
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return IntegerOutput(a=self.a)
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@title("Integer Collection")
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@tags("primitives", "integer", "collection")
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class IntegerCollectionInvocation(BaseInvocation):
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"""A collection of integer primitive values"""
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type: Literal["integer_collection"] = "integer_collection"
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# Inputs
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collection: list[int] = InputField(
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default=0, description="The collection of integer values", ui_type=UIType.IntegerCollection
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)
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def invoke(self, context: InvocationContext) -> IntegerCollectionOutput:
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return IntegerCollectionOutput(collection=self.collection)
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# endregion
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# region Float
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class FloatOutput(BaseInvocationOutput):
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"""Base class for nodes that output a single float"""
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type: Literal["float_output"] = "float_output"
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a: float = OutputField(description="The output float")
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class FloatCollectionOutput(BaseInvocationOutput):
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"""Base class for nodes that output a collection of floats"""
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type: Literal["float_collection_output"] = "float_collection_output"
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# Outputs
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collection: list[float] = OutputField(
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default_factory=list, description="The float collection", ui_type=UIType.FloatCollection
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)
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@title("Float")
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@tags("primitives", "float")
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class FloatInvocation(BaseInvocation):
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"""A float primitive value"""
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type: Literal["float"] = "float"
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# Inputs
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param: float = InputField(default=0.0, description="The float value")
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def invoke(self, context: InvocationContext) -> FloatOutput:
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return FloatOutput(a=self.param)
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@title("Float Collection")
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@tags("primitives", "float", "collection")
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class FloatCollectionInvocation(BaseInvocation):
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"""A collection of float primitive values"""
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type: Literal["float_collection"] = "float_collection"
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# Inputs
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collection: list[float] = InputField(
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default=0, description="The collection of float values", ui_type=UIType.FloatCollection
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)
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def invoke(self, context: InvocationContext) -> FloatCollectionOutput:
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return FloatCollectionOutput(collection=self.collection)
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# endregion
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# region String
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class StringOutput(BaseInvocationOutput):
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"""Base class for nodes that output a single string"""
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type: Literal["string_output"] = "string_output"
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text: str = OutputField(description="The output string")
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class StringCollectionOutput(BaseInvocationOutput):
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"""Base class for nodes that output a collection of strings"""
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type: Literal["string_collection_output"] = "string_collection_output"
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# Outputs
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collection: list[str] = OutputField(
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default_factory=list, description="The output strings", ui_type=UIType.StringCollection
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)
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@title("String")
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@tags("primitives", "string")
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class StringInvocation(BaseInvocation):
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"""A string primitive value"""
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type: Literal["string"] = "string"
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# Inputs
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text: str = InputField(default="", description="The string value", ui_component=UIComponent.Textarea)
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def invoke(self, context: InvocationContext) -> StringOutput:
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return StringOutput(text=self.text)
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@title("String Collection")
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@tags("primitives", "string", "collection")
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class StringCollectionInvocation(BaseInvocation):
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"""A collection of string primitive values"""
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type: Literal["string_collection"] = "string_collection"
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# Inputs
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collection: list[str] = InputField(
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default=0, description="The collection of string values", ui_type=UIType.StringCollection
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)
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def invoke(self, context: InvocationContext) -> StringCollectionOutput:
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return StringCollectionOutput(collection=self.collection)
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# endregion
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# region Image
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class ImageField(BaseModel):
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"""An image primitive field"""
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image_name: str = Field(description="The name of the image")
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class ImageOutput(BaseInvocationOutput):
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"""Base class for nodes that output a single image"""
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type: Literal["image_output"] = "image_output"
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image: ImageField = OutputField(description="The output image")
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width: int = OutputField(description="The width of the image in pixels")
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height: int = OutputField(description="The height of the image in pixels")
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class ImageCollectionOutput(BaseInvocationOutput):
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"""Base class for nodes that output a collection of images"""
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type: Literal["image_collection_output"] = "image_collection_output"
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# Outputs
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collection: list[ImageField] = OutputField(
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default_factory=list, description="The output images", ui_type=UIType.ImageCollection
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)
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@title("Image Primitive")
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@tags("primitives", "image")
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class ImageInvocation(BaseInvocation):
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"""An image primitive value"""
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# Metadata
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type: Literal["image"] = "image"
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# Inputs
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image: ImageField = InputField(description="The image to load")
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def invoke(self, context: InvocationContext) -> ImageOutput:
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image = context.services.images.get_pil_image(self.image.image_name)
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return ImageOutput(
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image=ImageField(image_name=self.image.image_name),
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width=image.width,
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height=image.height,
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)
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@title("Image Collection")
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@tags("primitives", "image", "collection")
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class ImageCollectionInvocation(BaseInvocation):
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"""A collection of image primitive values"""
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type: Literal["image_collection"] = "image_collection"
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# Inputs
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collection: list[ImageField] = InputField(
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default=0, description="The collection of image values", ui_type=UIType.ImageCollection
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)
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def invoke(self, context: InvocationContext) -> ImageCollectionOutput:
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return ImageCollectionOutput(collection=self.collection)
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# endregion
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# region Latents
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class LatentsField(BaseModel):
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"""A latents tensor primitive field"""
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latents_name: str = Field(description="The name of the latents")
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seed: Optional[int] = Field(default=None, description="Seed used to generate this latents")
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class LatentsOutput(BaseInvocationOutput):
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"""Base class for nodes that output a single latents tensor"""
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type: Literal["latents_output"] = "latents_output"
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latents: LatentsField = OutputField(
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description=FieldDescriptions.latents,
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)
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width: int = OutputField(description=FieldDescriptions.width)
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height: int = OutputField(description=FieldDescriptions.height)
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class LatentsCollectionOutput(BaseInvocationOutput):
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"""Base class for nodes that output a collection of latents tensors"""
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type: Literal["latents_collection_output"] = "latents_collection_output"
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collection: list[LatentsField] = OutputField(
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default_factory=list,
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description=FieldDescriptions.latents,
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ui_type=UIType.LatentsCollection,
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)
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@title("Latents Primitive")
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@tags("primitives", "latents")
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class LatentsInvocation(BaseInvocation):
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"""A latents tensor primitive value"""
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type: Literal["latents"] = "latents"
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# Inputs
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latents: LatentsField = InputField(description="The latents tensor", input=Input.Connection)
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def invoke(self, context: InvocationContext) -> LatentsOutput:
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latents = context.services.latents.get(self.latents.latents_name)
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return build_latents_output(self.latents.latents_name, latents)
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@title("Latents Collection")
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@tags("primitives", "latents", "collection")
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class LatentsCollectionInvocation(BaseInvocation):
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"""A collection of latents tensor primitive values"""
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type: Literal["latents_collection"] = "latents_collection"
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# Inputs
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collection: list[LatentsField] = InputField(
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default=0, description="The collection of latents tensors", ui_type=UIType.LatentsCollection
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)
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def invoke(self, context: InvocationContext) -> LatentsCollectionOutput:
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return LatentsCollectionOutput(collection=self.collection)
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def build_latents_output(latents_name: str, latents: torch.Tensor, seed: Optional[int] = None):
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return LatentsOutput(
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latents=LatentsField(latents_name=latents_name, seed=seed),
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width=latents.size()[3] * 8,
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height=latents.size()[2] * 8,
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)
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# endregion
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# region Color
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class ColorField(BaseModel):
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"""A color primitive field"""
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r: int = Field(ge=0, le=255, description="The red component")
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g: int = Field(ge=0, le=255, description="The green component")
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b: int = Field(ge=0, le=255, description="The blue component")
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a: int = Field(ge=0, le=255, description="The alpha component")
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def tuple(self) -> Tuple[int, int, int, int]:
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return (self.r, self.g, self.b, self.a)
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class ColorOutput(BaseInvocationOutput):
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"""Base class for nodes that output a single color"""
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type: Literal["color_output"] = "color_output"
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color: ColorField = OutputField(description="The output color")
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class ColorCollectionOutput(BaseInvocationOutput):
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"""Base class for nodes that output a collection of colors"""
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type: Literal["color_collection_output"] = "color_collection_output"
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# Outputs
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collection: list[ColorField] = OutputField(
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default_factory=list, description="The output colors", ui_type=UIType.ColorCollection
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)
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@title("Color Primitive")
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@tags("primitives", "color")
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class ColorInvocation(BaseInvocation):
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"""A color primitive value"""
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type: Literal["color"] = "color"
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# Inputs
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color: ColorField = InputField(default=ColorField(r=0, g=0, b=0, a=255), description="The color value")
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def invoke(self, context: InvocationContext) -> ColorOutput:
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return ColorOutput(color=self.color)
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# endregion
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# region Conditioning
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class ConditioningField(BaseModel):
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"""A conditioning tensor primitive value"""
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conditioning_name: str = Field(description="The name of conditioning tensor")
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class ConditioningOutput(BaseInvocationOutput):
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"""Base class for nodes that output a single conditioning tensor"""
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type: Literal["conditioning_output"] = "conditioning_output"
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conditioning: ConditioningField = OutputField(description=FieldDescriptions.cond)
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class ConditioningCollectionOutput(BaseInvocationOutput):
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"""Base class for nodes that output a collection of conditioning tensors"""
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type: Literal["conditioning_collection_output"] = "conditioning_collection_output"
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# Outputs
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collection: list[ConditioningField] = OutputField(
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default_factory=list,
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description="The output conditioning tensors",
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ui_type=UIType.ConditioningCollection,
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)
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@title("Conditioning Primitive")
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@tags("primitives", "conditioning")
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class ConditioningInvocation(BaseInvocation):
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"""A conditioning tensor primitive value"""
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type: Literal["conditioning"] = "conditioning"
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conditioning: ConditioningField = InputField(description=FieldDescriptions.cond, input=Input.Connection)
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def invoke(self, context: InvocationContext) -> ConditioningOutput:
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return ConditioningOutput(conditioning=self.conditioning)
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@title("Conditioning Collection")
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@tags("primitives", "conditioning", "collection")
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class ConditioningCollectionInvocation(BaseInvocation):
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"""A collection of conditioning tensor primitive values"""
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type: Literal["conditioning_collection"] = "conditioning_collection"
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# Inputs
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collection: list[ConditioningField] = InputField(
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default=0, description="The collection of conditioning tensors", ui_type=UIType.ConditioningCollection
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)
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def invoke(self, context: InvocationContext) -> ConditioningCollectionOutput:
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return ConditioningCollectionOutput(collection=self.collection)
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# endregion
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