InvokeAI/invokeai/app/invocations/primitives.py

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# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
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from typing import Literal, Optional, Tuple
import torch
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from pydantic import BaseModel, Field
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"
value: 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(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
value: bool = InputField(default=False, description="The boolean value")
def invoke(self, context: InvocationContext) -> BooleanOutput:
return BooleanOutput(value=self.value)
@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_factory=list, 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"
value: 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(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
value: int = InputField(default=0, description="The integer value")
def invoke(self, context: InvocationContext) -> IntegerOutput:
return IntegerOutput(value=self.value)
@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"
value: 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(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
value: float = InputField(default=0.0, description="The float value")
def invoke(self, context: InvocationContext) -> FloatOutput:
return FloatOutput(value=self.value)
@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_factory=list, 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"
value: 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(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
value: str = InputField(default="", description="The string value", ui_component=UIComponent.Textarea)
def invoke(self, context: InvocationContext) -> StringOutput:
return StringOutput(value=self.value)
@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_factory=list, 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(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)
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# endregion
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# region DenoiseMask
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class DenoiseMaskField(BaseModel):
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"""An inpaint mask field"""
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mask_name: str = Field(description="The name of the mask image")
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masked_latents_name: Optional[str] = Field(description="The name of the masked image latents")
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class DenoiseMaskOutput(BaseInvocationOutput):
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"""Base class for nodes that output a single image"""
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type: Literal["denoise_mask_output"] = "denoise_mask_output"
denoise_mask: DenoiseMaskField = OutputField(description="Mask for denoise model run")
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# 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(
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(
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(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(
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