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Batch broadcasting in JoinImageWithAlpha node (#13686)
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* Batch broadcasting in JoinImageWithAlpha node
This commit is contained in:
Jukka Seppänen 2026-05-03 16:30:00 +03:00 committed by GitHub
parent 867b8d2408
commit 025e6792ee
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1 changed files with 4 additions and 7 deletions
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comfy_extras/nodes_compositing.py
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@ -202,14 +202,11 @@ class JoinImageWithAlpha(io.ComfyNode):
@classmethod @classmethod
def execute(cls, image: torch.Tensor, alpha: torch.Tensor) -> io.NodeOutput: def execute(cls, image: torch.Tensor, alpha: torch.Tensor) -> io.NodeOutput:
batch_size = min(len(image), len(alpha)) batch_size = max(len(image), len(alpha))
out_images = []
alpha = 1.0 - resize_mask(alpha, image.shape[1:]) alpha = 1.0 - resize_mask(alpha, image.shape[1:])
for i in range(batch_size): alpha = comfy.utils.repeat_to_batch_size(alpha, batch_size)
out_images.append(torch.cat((image[i][:,:,:3], alpha[i].unsqueeze(2)), dim=2)) image = comfy.utils.repeat_to_batch_size(image, batch_size)
return io.NodeOutput(torch.cat((image[..., :3], alpha.unsqueeze(-1)), dim=-1))
return io.NodeOutput(torch.stack(out_images))
class CompositingExtension(ComfyExtension): class CompositingExtension(ComfyExtension):