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from ..utils import common_annotator_call, create_node_input_types
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import comfy.model_management as model_management
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class PIDINET_Preprocessor:
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@classmethod
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def INPUT_TYPES(s):
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return create_node_input_types(
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safe=(["enable", "disable"], {"default": "enable"})
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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, safe, resolution=512, **kwargs):
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from controlnet_aux.pidi import PidiNetDetector
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model = PidiNetDetector.from_pretrained().to(model_management.get_torch_device())
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out = common_annotator_call(model, image, resolution=resolution, safe = safe == "enable")
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del model
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return (out, )
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NODE_CLASS_MAPPINGS = {
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"PiDiNetPreprocessor": PIDINET_Preprocessor,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"PiDiNetPreprocessor": "PiDiNet Soft-Edge Lines"
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} |