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33 lines
1019 B
Python
33 lines
1019 B
Python
from __future__ import annotations
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from kornia.filters import canny
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import comfy.model_management
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from comfy_api.latest import io
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class Canny(io.ComfyNode):
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@classmethod
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def define_schema(cls):
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return io.Schema(
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node_id="Canny_V3",
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category="image/preprocessors",
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inputs=[
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io.Image.Input("image"),
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io.Float.Input("low_threshold", default=0.4, min=0.01, max=0.99, step=0.01),
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io.Float.Input("high_threshold", default=0.8, min=0.01, max=0.99, step=0.01),
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],
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outputs=[io.Image.Output()],
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)
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@classmethod
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def execute(cls, image, low_threshold, high_threshold) -> io.NodeOutput:
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output = canny(image.to(comfy.model_management.get_torch_device()).movedim(-1, 1), low_threshold, high_threshold)
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img_out = output[1].to(comfy.model_management.intermediate_device()).repeat(1, 3, 1, 1).movedim(1, -1)
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return io.NodeOutput(img_out)
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NODES_LIST = [
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Canny,
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]
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