xiaden
315666c7b6
- 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
28 lines
1.2 KiB
Python
28 lines
1.2 KiB
Python
"""Neural lineart edge detection."""
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from comfy_api.latest import io
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from .._shared.bases import _ImageToImage
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class ImgUtilsLineart(_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="ImgUtilsLineart", display_name="Imgutils Edge (Lineart)",
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category="imgutils/edge",
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description="Extract lineart edges using a neural lineart model.",
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search_aliases=["edge", "lineart", "outline", "line", "sketch"],
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inputs=[
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io.Image.Input("image", tooltip="Input image to detect edges."),
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io.Boolean.Input("coarse", default=False, tooltip="Use coarse model for deeper/richer lines."),
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io.Int.Input("detect_resolution", default=512, min=128, max=2048, step=64, tooltip="Detection resolution."),
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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, coarse, detect_resolution) -> io.NodeOutput:
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from imgutils.edge import edge_image_with_lineart
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return cls._run(image, edge_image_with_lineart, coarse=coarse, detect_resolution=detect_resolution)
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