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https://github.com/invoke-ai/InvokeAI
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feat(nodes): move fully* to new images service
* except i haven't rebuilt inpaint in latents
This commit is contained in:
committed by
Kent Keirsey
parent
dd16f788ed
commit
d2c223de8f
@ -1,17 +1,17 @@
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# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
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# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
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from typing import Literal, Optional, Union, get_args
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from typing import Literal, Union, get_args
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import numpy as np
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import math
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from PIL import Image, ImageOps
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from pydantic import Field
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from invokeai.app.invocations.image import ImageOutput, build_image_output
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from invokeai.app.invocations.image import ImageOutput
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from invokeai.app.util.misc import SEED_MAX, get_random_seed
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from invokeai.backend.image_util.patchmatch import PatchMatch
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from ..models.image import ColorField, ImageField, ImageType
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from ..models.image import ColorField, ImageCategory, ImageField, ImageType
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from .baseinvocation import (
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BaseInvocation,
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InvocationContext,
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@ -125,36 +125,39 @@ class InfillColorInvocation(BaseInvocation):
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"""Infills transparent areas of an image with a solid color"""
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type: Literal["infill_rgba"] = "infill_rgba"
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image: Optional[ImageField] = Field(default=None, description="The image to infill")
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color: Optional[ColorField] = Field(
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image: Union[ImageField, None] = Field(
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default=None, description="The image to infill"
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)
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color: ColorField = Field(
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default=ColorField(r=127, g=127, b=127, a=255),
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description="The color to use to infill",
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)
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def invoke(self, context: InvocationContext) -> ImageOutput:
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image = context.services.images.get(
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image = context.services.images.get_pil_image(
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self.image.image_type, self.image.image_name
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)
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solid_bg = Image.new("RGBA", image.size, self.color.tuple())
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infilled = Image.alpha_composite(solid_bg, image)
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infilled = Image.alpha_composite(solid_bg, image.convert("RGBA"))
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infilled.paste(image, (0, 0), image.split()[-1])
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image_type = ImageType.RESULT
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image_name = context.services.images.create_name(
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context.graph_execution_state_id, self.id
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image_dto = context.services.images.create(
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image=infilled,
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image_type=ImageType.RESULT,
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image_category=ImageCategory.GENERAL,
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node_id=self.id,
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session_id=context.graph_execution_state_id,
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)
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metadata = context.services.metadata.build_metadata(
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session_id=context.graph_execution_state_id, node=self
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)
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context.services.images.save(image_type, image_name, infilled, metadata)
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return build_image_output(
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image_type=image_type,
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image_name=image_name,
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image=image,
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return ImageOutput(
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image=ImageField(
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image_name=image_dto.image_name,
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image_type=image_dto.image_type,
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),
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width=image_dto.width,
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height=image_dto.height,
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)
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@ -163,7 +166,9 @@ class InfillTileInvocation(BaseInvocation):
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type: Literal["infill_tile"] = "infill_tile"
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image: Optional[ImageField] = Field(default=None, description="The image to infill")
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image: Union[ImageField, None] = Field(
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default=None, description="The image to infill"
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)
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tile_size: int = Field(default=32, ge=1, description="The tile size (px)")
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seed: int = Field(
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ge=0,
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@ -173,7 +178,7 @@ class InfillTileInvocation(BaseInvocation):
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)
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def invoke(self, context: InvocationContext) -> ImageOutput:
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image = context.services.images.get(
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image = context.services.images.get_pil_image(
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self.image.image_type, self.image.image_name
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)
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@ -182,20 +187,21 @@ class InfillTileInvocation(BaseInvocation):
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)
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infilled.paste(image, (0, 0), image.split()[-1])
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image_type = ImageType.RESULT
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image_name = context.services.images.create_name(
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context.graph_execution_state_id, self.id
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image_dto = context.services.images.create(
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image=infilled,
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image_type=ImageType.RESULT,
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image_category=ImageCategory.GENERAL,
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node_id=self.id,
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session_id=context.graph_execution_state_id,
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)
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metadata = context.services.metadata.build_metadata(
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session_id=context.graph_execution_state_id, node=self
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)
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context.services.images.save(image_type, image_name, infilled, metadata)
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return build_image_output(
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image_type=image_type,
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image_name=image_name,
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image=image,
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return ImageOutput(
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image=ImageField(
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image_name=image_dto.image_name,
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image_type=image_dto.image_type,
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),
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width=image_dto.width,
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height=image_dto.height,
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)
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@ -204,10 +210,12 @@ class InfillPatchMatchInvocation(BaseInvocation):
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type: Literal["infill_patchmatch"] = "infill_patchmatch"
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image: Optional[ImageField] = Field(default=None, description="The image to infill")
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image: Union[ImageField, None] = Field(
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default=None, description="The image to infill"
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)
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def invoke(self, context: InvocationContext) -> ImageOutput:
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image = context.services.images.get(
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image = context.services.images.get_pil_image(
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self.image.image_type, self.image.image_name
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)
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@ -216,18 +224,19 @@ class InfillPatchMatchInvocation(BaseInvocation):
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else:
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raise ValueError("PatchMatch is not available on this system")
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image_type = ImageType.RESULT
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image_name = context.services.images.create_name(
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context.graph_execution_state_id, self.id
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image_dto = context.services.images.create(
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image=infilled,
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image_type=ImageType.RESULT,
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image_category=ImageCategory.GENERAL,
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node_id=self.id,
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session_id=context.graph_execution_state_id,
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)
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metadata = context.services.metadata.build_metadata(
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session_id=context.graph_execution_state_id, node=self
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)
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context.services.images.save(image_type, image_name, infilled, metadata)
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return build_image_output(
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image_type=image_type,
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image_name=image_name,
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image=image,
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return ImageOutput(
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image=ImageField(
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image_name=image_dto.image_name,
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image_type=image_dto.image_type,
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),
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width=image_dto.width,
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height=image_dto.height,
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)
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