30 lines
977 B
Python
30 lines
977 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 PIDINET_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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safe=INPUT.COMBO(["enable", "disable"]),
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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, safe, resolution=512, **kwargs):
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from custom_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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} |