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Merge branch 'multiple_inpaint_masks' of https://github.com/guill/ComfyUI

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# Conflicts:
#	nodes.py
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comfyanonymous 2023-04-25 00:54:15 -04:00
commit c7c1f0d074
1 changed files with 9 additions and 5 deletions
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nodes.py
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@ -172,24 +172,28 @@ class VAEEncodeForInpaint:
def encode(self, vae, pixels, mask): def encode(self, vae, pixels, mask):
x = (pixels.shape[1] // 64) * 64 x = (pixels.shape[1] // 64) * 64
y = (pixels.shape[2] // 64) * 64 y = (pixels.shape[2] // 64) * 64
mask = torch.nn.functional.interpolate(mask[None,None,], size=(pixels.shape[1], pixels.shape[2]), mode="bilinear")[0][0] if len(mask.shape) < 3:
mask = mask.unsqueeze(0).unsqueeze(0)
elif len(mask.shape) < 4:
mask = mask.unsqueeze(1)
mask = torch.nn.functional.interpolate(mask, size=(pixels.shape[1], pixels.shape[2]), mode="bilinear")
pixels = pixels.clone() pixels = pixels.clone()
if pixels.shape[1] != x or pixels.shape[2] != y: if pixels.shape[1] != x or pixels.shape[2] != y:
pixels = pixels[:,:x,:y,:] pixels = pixels[:,:x,:y,:]
mask = mask[:x,:y] mask = mask[:,:x,:y,:]
#grow mask by a few pixels to keep things seamless in latent space #grow mask by a few pixels to keep things seamless in latent space
kernel_tensor = torch.ones((1, 1, 6, 6)) kernel_tensor = torch.ones((1, 1, 6, 6))
mask_erosion = torch.clamp(torch.nn.functional.conv2d((mask.round())[None], kernel_tensor, padding=3), 0, 1) mask_erosion = torch.clamp(torch.nn.functional.conv2d(mask.round(), kernel_tensor, padding=3), 0, 1)
m = (1.0 - mask.round()) m = (1.0 - mask.round()).squeeze(1)
for i in range(3): for i in range(3):
pixels[:,:,:,i] -= 0.5 pixels[:,:,:,i] -= 0.5
pixels[:,:,:,i] *= m pixels[:,:,:,i] *= m
pixels[:,:,:,i] += 0.5 pixels[:,:,:,i] += 0.5
t = vae.encode(pixels) t = vae.encode(pixels)
return ({"samples":t, "noise_mask": (mask_erosion[0][:x,:y].round())}, ) return ({"samples":t, "noise_mask": (mask_erosion[:,:x,:y,:].round())}, )
class CheckpointLoader: class CheckpointLoader:
@classmethod @classmethod