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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 TEED_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_steps=("INT", {"default": 2, "min": 0, "max": 10}) |
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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_steps=2, resolution=512, **kwargs): |
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from controlnet_aux.teed import TEDDetector |
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model = TEDDetector.from_pretrained().to(model_management.get_torch_device()) |
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out = common_annotator_call(model, image, resolution=resolution, safe_steps=safe_steps) |
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del model |
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return (out, ) |
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NODE_CLASS_MAPPINGS = { |
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"TEEDPreprocessor": TEED_Preprocessor, |
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} |
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NODE_DISPLAY_NAME_MAPPINGS = { |
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"TEED_Preprocessor": "TEED Soft-Edge Lines", |
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} |