jaidaken
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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>
27 lines
1.0 KiB
Python
27 lines
1.0 KiB
Python
from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT
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import comfy.model_management as model_management
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class Lineart_Standard_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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guassian_sigma=INPUT.FLOAT(default=6.0, max=100.0),
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intensity_threshold=INPUT.INT(default=8, max=16),
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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, guassian_sigma=6, intensity_threshold=8, resolution=512, **kwargs):
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from custom_controlnet_aux.lineart_standard import LineartStandardDetector
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return (common_annotator_call(LineartStandardDetector(), image, guassian_sigma=guassian_sigma, intensity_threshold=intensity_threshold, resolution=resolution), )
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NODE_CLASS_MAPPINGS = {
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"LineartStandardPreprocessor": Lineart_Standard_Preprocessor
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LineartStandardPreprocessor": "Standard Lineart"
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} |