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https://github.com/invoke-ai/InvokeAI
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feat(nodes): add WithBoard
field helper class
This class works the same way as `WithMetadata` - it simply adds a `board` field to the node. The context wrapper function is able to pull the board id from this. This allows image-outputting nodes to get a board field "for free", and have their outputs automatically saved to it. This is a breaking change for node authors who may have a field called `board`, because it makes `board` a reserved field name. I'll look into how to avoid this - maybe by naming this invoke-managed field `_board` to avoid collisions? Supporting changes: - `WithBoard` is added to all image-outputting nodes, giving them the ability to save to board. - Unused, duplicate `WithMetadata` and `WithWorkflow` classes are deleted from `baseinvocation.py`. The "real" versions are in `fields.py`. - Remove `LinearUIOutputInvocation`. Now that all nodes that output images also have a `board` field by default, this node is no longer necessary. See comment here for context: https://github.com/invoke-ai/InvokeAI/pull/5491#discussion_r1480760629 - Without `LinearUIOutputInvocation`, the `ImagesInferface.update` method is no longer needed, and removed. Note: This commit does not bump all node versions. I will ensure that is done correctly before merging the PR of which this commit is a part. Note: A followup commit will implement the frontend changes to support this change.
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@ -15,7 +15,7 @@ from invokeai.backend.image_util.lama import LaMA
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from invokeai.backend.image_util.patchmatch import PatchMatch
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from .baseinvocation import BaseInvocation, invocation
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from .fields import InputField, WithMetadata
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from .fields import InputField, WithBoard, WithMetadata
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from .image import PIL_RESAMPLING_MAP, PIL_RESAMPLING_MODES
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@ -121,7 +121,7 @@ def tile_fill_missing(im: Image.Image, tile_size: int = 16, seed: Optional[int]
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@invocation("infill_rgba", title="Solid Color Infill", tags=["image", "inpaint"], category="inpaint", version="1.2.1")
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class InfillColorInvocation(BaseInvocation, WithMetadata):
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class InfillColorInvocation(BaseInvocation, WithMetadata, WithBoard):
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"""Infills transparent areas of an image with a solid color"""
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image: ImageField = InputField(description="The image to infill")
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@ -144,7 +144,7 @@ class InfillColorInvocation(BaseInvocation, WithMetadata):
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@invocation("infill_tile", title="Tile Infill", tags=["image", "inpaint"], category="inpaint", version="1.2.2")
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class InfillTileInvocation(BaseInvocation, WithMetadata):
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class InfillTileInvocation(BaseInvocation, WithMetadata, WithBoard):
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"""Infills transparent areas of an image with tiles of the image"""
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image: ImageField = InputField(description="The image to infill")
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@ -170,7 +170,7 @@ class InfillTileInvocation(BaseInvocation, WithMetadata):
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@invocation(
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"infill_patchmatch", title="PatchMatch Infill", tags=["image", "inpaint"], category="inpaint", version="1.2.1"
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)
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class InfillPatchMatchInvocation(BaseInvocation, WithMetadata):
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class InfillPatchMatchInvocation(BaseInvocation, WithMetadata, WithBoard):
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"""Infills transparent areas of an image using the PatchMatch algorithm"""
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image: ImageField = InputField(description="The image to infill")
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@ -209,7 +209,7 @@ class InfillPatchMatchInvocation(BaseInvocation, WithMetadata):
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@invocation("infill_lama", title="LaMa Infill", tags=["image", "inpaint"], category="inpaint", version="1.2.1")
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class LaMaInfillInvocation(BaseInvocation, WithMetadata):
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class LaMaInfillInvocation(BaseInvocation, WithMetadata, WithBoard):
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"""Infills transparent areas of an image using the LaMa model"""
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image: ImageField = InputField(description="The image to infill")
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@ -225,7 +225,7 @@ class LaMaInfillInvocation(BaseInvocation, WithMetadata):
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@invocation("infill_cv2", title="CV2 Infill", tags=["image", "inpaint"], category="inpaint", version="1.2.1")
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class CV2InfillInvocation(BaseInvocation, WithMetadata):
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class CV2InfillInvocation(BaseInvocation, WithMetadata, WithBoard):
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"""Infills transparent areas of an image using OpenCV Inpainting"""
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image: ImageField = InputField(description="The image to infill")
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