27 lines
849 B
Python
27 lines
849 B
Python
from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT, MAX_RESOLUTION
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import comfy.model_management as model_management
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class Shuffle_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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resolution=INPUT.RESOLUTION(),
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seed=INPUT.SEED()
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)
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "preprocess"
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CATEGORY = "ControlNet Preprocessors/T2IAdapter-only"
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def preprocess(self, image, resolution=512, seed=0):
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from custom_controlnet_aux.shuffle import ContentShuffleDetector
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return (common_annotator_call(ContentShuffleDetector(), image, resolution=resolution, seed=seed), )
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NODE_CLASS_MAPPINGS = {
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"ShufflePreprocessor": Shuffle_Preprocessor
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"ShufflePreprocessor": "Content Shuffle"
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} |