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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
30 lines
999 B
Python
30 lines
999 B
Python
from ..utils import common_annotator_call, INPUT, define_preprocessor_inputs
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import comfy.model_management as model_management
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class PyraCanny_Preprocessor:
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@classmethod
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def INPUT_TYPES(s):
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return define_preprocessor_inputs(
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low_threshold=INPUT.INT(default=64, max=255),
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high_threshold=INPUT.INT(default=128, max=255),
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resolution=INPUT.RESOLUTION()
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)
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "execute"
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CATEGORY = "ControlNet Preprocessors/Line Extractors"
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def execute(self, image, low_threshold=64, high_threshold=128, resolution=512, **kwargs):
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from custom_controlnet_aux.pyracanny import PyraCannyDetector
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return (common_annotator_call(PyraCannyDetector(), image, low_threshold=low_threshold, high_threshold=high_threshold, resolution=resolution), )
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NODE_CLASS_MAPPINGS = {
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"PyraCannyPreprocessor": PyraCanny_Preprocessor
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"PyraCannyPreprocessor": "PyraCanny"
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} |