- Split flat node modules into categorized subpackages (tagging, detect, edge, pose, segment, restore, compare, judge, transform, utility) - Extract shared internals into _shared/ (bases, tensor, formatting) - Centralize node registration via register_nodes() helper - Clean up: remove dead is_scored return, unnecessary hasattr guard, inline imports
26 lines
1007 B
Python
26 lines
1007 B
Python
"""Adversarial noise removal using bilateral and guided filtering (no ML model)."""
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from comfy_api.latest import io
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from .._shared.bases import _ImageToImage
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class ImgUtilsAdversarial(_ImageToImage):
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@classmethod
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def define_schema(cls) -> io.Schema:
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return io.Schema(
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node_id="ImgUtilsAdversarial", display_name="Imgutils Restore (Adversarial)",
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category="imgutils/restore",
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description="Remove adversarial noise using bilateral + guided filtering. No ML model needed.",
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search_aliases=["restore", "adversarial", "denoise", "noise", "clean", "mist"],
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inputs=[
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io.Image.Input("image", tooltip="Input image to remove adversarial noise from."),
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],
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outputs=[io.Image.Output(display_name="image")],
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)
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@classmethod
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def execute(cls, image) -> io.NodeOutput:
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from imgutils.restore import remove_adversarial_noise
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return cls._run(image, remove_adversarial_noise)
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