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Fix SplitImageWithAlpha and JoinImageWithAlpha.

This commit is contained in:
comfyanonymous 2023-10-08 15:52:10 -04:00
parent 1f2f4eaa6f
commit c16f5744e3
1 changed files with 2 additions and 2 deletions
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4
comfy_extras/nodes_compositing.py
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@ -158,7 +158,7 @@ class SplitImageWithAlpha:
def split_image_with_alpha(self, image: torch.Tensor): def split_image_with_alpha(self, image: torch.Tensor):
out_images = [i[:,:,:3] for i in image] out_images = [i[:,:,:3] for i in image]
out_alphas = [i[:,:,3] if i.shape[2] > 3 else torch.ones_like(i[:,:,0]) for i in image] out_alphas = [i[:,:,3] if i.shape[2] > 3 else torch.ones_like(i[:,:,0]) for i in image]
result = (torch.stack(out_images), torch.stack(out_alphas)) result = (torch.stack(out_images), 1.0 - torch.stack(out_alphas))
return result return result
@ -180,7 +180,7 @@ class JoinImageWithAlpha:
batch_size = min(len(image), len(alpha)) batch_size = min(len(image), len(alpha))
out_images = [] out_images = []
alpha = resize_mask(alpha, image.shape[1:]) alpha = 1.0 - resize_mask(alpha, image.shape[1:])
for i in range(batch_size): for i in range(batch_size):
out_images.append(torch.cat((image[i][:,:,:3], alpha[i].unsqueeze(2)), dim=2)) out_images.append(torch.cat((image[i][:,:,:3], alpha[i].unsqueeze(2)), dim=2))