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>
33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
import torch
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from ..utils import INPUT
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class InpaintPreprocessor:
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@classmethod
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def INPUT_TYPES(s):
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return dict(
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required=dict(image=INPUT.IMAGE(), mask=INPUT.MASK()),
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optional=dict(black_pixel_for_xinsir_cn=INPUT.BOOLEAN(False))
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)
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "preprocess"
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CATEGORY = "ControlNet Preprocessors/others"
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def preprocess(self, image, mask, black_pixel_for_xinsir_cn=False):
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mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(image.shape[1], image.shape[2]), mode="bilinear")
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mask = mask.movedim(1,-1).expand((-1,-1,-1,3))
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image = image.clone()
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if black_pixel_for_xinsir_cn:
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masked_pixel = 0.0
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else:
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masked_pixel = -1.0
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image[mask > 0.5] = masked_pixel
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return (image,)
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NODE_CLASS_MAPPINGS = {
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"InpaintPreprocessor": InpaintPreprocessor
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"InpaintPreprocessor": "Inpaint Preprocessor"
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}
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