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import torch
class InpaintPreprocessor:
@classmethod
def INPUT_TYPES(s):
return {"required": { "image": ("IMAGE",), "mask": ("MASK",)}}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "preprocess"
CATEGORY = "ControlNet Preprocessors/others"
def preprocess(self, image, mask):
mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(image.shape[1], image.shape[2]), mode="bilinear")
mask = mask.movedim(1,-1).expand((-1,-1,-1,3))
image = image.clone()
image[mask > 0.5] = -1.0 # set as masked pixel
return (image,)
NODE_CLASS_MAPPINGS = {
"InpaintPreprocessor": InpaintPreprocessor
}
NODE_DISPLAY_NAME_MAPPINGS = {
"InpaintPreprocessor": "Inpaint Preprocessor"
} |