Merge branch 'multiple_inpaint_masks' of https://github.com/guill/ComfyUI
# Conflicts: # nodes.py
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c7c1f0d074
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nodes.py
14
nodes.py
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@ -172,24 +172,28 @@ class VAEEncodeForInpaint:
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def encode(self, vae, pixels, mask):
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x = (pixels.shape[1] // 64) * 64
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y = (pixels.shape[2] // 64) * 64
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mask = torch.nn.functional.interpolate(mask[None,None,], size=(pixels.shape[1], pixels.shape[2]), mode="bilinear")[0][0]
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if len(mask.shape) < 3:
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mask = mask.unsqueeze(0).unsqueeze(0)
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elif len(mask.shape) < 4:
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mask = mask.unsqueeze(1)
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mask = torch.nn.functional.interpolate(mask, size=(pixels.shape[1], pixels.shape[2]), mode="bilinear")
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pixels = pixels.clone()
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if pixels.shape[1] != x or pixels.shape[2] != y:
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pixels = pixels[:,:x,:y,:]
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mask = mask[:x,:y]
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mask = mask[:,:x,:y,:]
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#grow mask by a few pixels to keep things seamless in latent space
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kernel_tensor = torch.ones((1, 1, 6, 6))
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mask_erosion = torch.clamp(torch.nn.functional.conv2d((mask.round())[None], kernel_tensor, padding=3), 0, 1)
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m = (1.0 - mask.round())
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mask_erosion = torch.clamp(torch.nn.functional.conv2d(mask.round(), kernel_tensor, padding=3), 0, 1)
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m = (1.0 - mask.round()).squeeze(1)
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for i in range(3):
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pixels[:,:,:,i] -= 0.5
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pixels[:,:,:,i] *= m
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pixels[:,:,:,i] += 0.5
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t = vae.encode(pixels)
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return ({"samples":t, "noise_mask": (mask_erosion[0][:x,:y].round())}, )
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return ({"samples":t, "noise_mask": (mask_erosion[:,:x,:y,:].round())}, )
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class CheckpointLoader:
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@classmethod
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