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synced 2025-12-09 12:54:40 +08:00
Add back the commentary I deleted by mistake
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parent
442c6a9127
commit
6ef1aa4a34
6
nodes.py
6
nodes.py
@ -772,17 +772,23 @@ class GrowMaskWithBlur:
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current_expand += abs(incremental_expandrate)
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current_expand += abs(incremental_expandrate)
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output = torch.from_numpy(output)
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output = torch.from_numpy(output)
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if alpha < 1.0 and previous_output is not None:
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if alpha < 1.0 and previous_output is not None:
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# Interpolate between the previous and current frame
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output = alpha * output + (1 - alpha) * previous_output
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output = alpha * output + (1 - alpha) * previous_output
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if decay < 1.0 and previous_output is not None:
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if decay < 1.0 and previous_output is not None:
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# Add the decayed previous output to the current frame
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output += decay * previous_output
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output += decay * previous_output
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output = output / output.max()
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output = output / output.max()
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previous_output = output
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previous_output = output
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out.append(output)
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out.append(output)
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if blur_radius != 0:
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if blur_radius != 0:
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# Convert the tensor list to PIL images, apply blur, and convert back
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for idx, tensor in enumerate(out):
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for idx, tensor in enumerate(out):
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# Convert tensor to PIL image
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pil_image = tensor2pil(tensor.cpu().detach())[0]
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pil_image = tensor2pil(tensor.cpu().detach())[0]
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# Apply Gaussian blur
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pil_image = pil_image.filter(ImageFilter.GaussianBlur(blur_radius))
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pil_image = pil_image.filter(ImageFilter.GaussianBlur(blur_radius))
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# Convert back to tensor
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out[idx] = pil2tensor(pil_image)
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out[idx] = pil2tensor(pil_image)
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blurred = torch.cat(out, dim=0)
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blurred = torch.cat(out, dim=0)
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return (blurred, 1.0 - blurred)
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return (blurred, 1.0 - blurred)
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