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Hi,first thx for ur excellent work!
when I use celebA lama-deep model to predict with 'refine=True', there always a problem :
File "/DATA/jupyter/personal/project/cover_diff/lama/saicinpainting/evaluation/refinement.py", line 128, in _infer
z1,z2 = forward_front(masked_image)
ValueError: not enough values to unpack (expected 2, got 1)
when I use big-lama model, there isn't this problem.
I tried to fix it but failed.Can u tell me how to do with it, thx a lot!
The text was updated successfully, but these errors were encountered:
Hi,first thx for ur excellent work! when I use celebA lama-deep model to predict with 'refine=True', there always a problem : File "/DATA/jupyter/personal/project/cover_diff/lama/saicinpainting/evaluation/refinement.py", line 128, in _infer z1,z2 = forward_front(masked_image) ValueError: not enough values to unpack (expected 2, got 1) when I use big-lama model, there isn't this problem. I tried to fix it but failed.Can u tell me how to do with it, thx a lot!
Have you solved this problem?
Hi,first thx for ur excellent work!
when I use celebA lama-deep model to predict with 'refine=True', there always a problem :
File "/DATA/jupyter/personal/project/cover_diff/lama/saicinpainting/evaluation/refinement.py", line 128, in _infer
z1,z2 = forward_front(masked_image)
ValueError: not enough values to unpack (expected 2, got 1)
when I use big-lama model, there isn't this problem.
I tried to fix it but failed.Can u tell me how to do with it, thx a lot!
The text was updated successfully, but these errors were encountered: