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Traceback (most recent call last):
File "/data/HandRefiner/handrefiner.py", line 220, in
cats = torch.cat([mask, masked_image], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 64 but got size 128 for tensor number 1 in the list.
May I ask what the problem is? How to solve it?
The test case was successful, my image failed to repair.
The text was updated successfully, but these errors were encountered:
Hi, I guess your original image has size 1024x1024?
HandRefiner is based on SD1.5 which only supports 512x512 size image input
You can either downsize it to 512x512 (then super-resolute to original size) or crop it to 512x512
Hi, I guess your original image has size 1024x1024? HandRefiner is based on SD1.5 which only supports 512x512 size image input You can either downsize it to 512x512 (then super-resolute to original size) or crop it to 512x512
Traceback (most recent call last):
File "/data/HandRefiner/handrefiner.py", line 220, in
cats = torch.cat([mask, masked_image], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 64 but got size 128 for tensor number 1 in the list.
May I ask what the problem is? How to solve it?
The test case was successful, my image failed to repair.
The text was updated successfully, but these errors were encountered: