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Move mask to CPU
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@ -47,7 +47,7 @@ class BackgroundRemovalModel():
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out = self.model(pixel_values=pixel_values)
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out = torch.nn.functional.interpolate(out, size=(H, W), mode="bicubic", antialias=False)
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mask = out.sigmoid()
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mask = out.sigmoid().float().cpu()
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if mask.ndim == 3:
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mask = mask.unsqueeze(0)
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if mask.shape[1] != 1:
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@ -203,7 +203,7 @@ class JoinImageWithAlpha(io.ComfyNode):
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@classmethod
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def execute(cls, image: torch.Tensor, alpha: torch.Tensor) -> io.NodeOutput:
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batch_size = max(len(image), len(alpha))
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alpha = 1.0 - resize_mask(alpha.to(image.device), image.shape[1:])
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alpha = 1.0 - resize_mask(alpha.to(image), image.shape[1:])
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alpha = comfy.utils.repeat_to_batch_size(alpha, batch_size)
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image = comfy.utils.repeat_to_batch_size(image, batch_size)
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return io.NodeOutput(torch.cat((image[..., :3], alpha.unsqueeze(-1)), dim=-1))
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