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>
30 lines
985 B
Python
30 lines
985 B
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_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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coarse=INPUT.COMBO((["disable", "enable"])),
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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, resolution=512, **kwargs):
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from custom_controlnet_aux.lineart import LineartDetector
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model = LineartDetector.from_pretrained().to(model_management.get_torch_device())
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out = common_annotator_call(model, image, resolution=resolution, coarse = kwargs["coarse"] == "enable")
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del model
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return (out, )
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NODE_CLASS_MAPPINGS = {
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"LineArtPreprocessor": LineArt_Preprocessor
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LineArtPreprocessor": "Realistic Lineart"
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} |