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MikhailKulyabin avatar MikhailKulyabin commented on June 25, 2024

I have the same problem

from ganspace.

HashimotoJun25 avatar HashimotoJun25 commented on June 25, 2024

I have the same problem

from ganspace.

marceljhuber avatar marceljhuber commented on June 25, 2024

Hi,
I am currently facing the same problem as you with regards to style1.weight:

RuntimeError: Error(s) in loading state_dict for Generator:
size mismatch for style.1.weight: copying a param with shape torch.Size([512, 1024]) from checkpoint, the shape in current model is torch.Size([512, 512]).

After reading every related problem I'm still not sure why this vector contains 1024 and how I should handle this. I don't think it's because of the auto-config because I trained another model using paper256 and the first mapping layer has again shape [512, 1024]. Could anyone explain to me at which point in training I could change this? And additionally, how I can use/convert my model containing [512, 1024]-vectors?
Best wishes,
Marcel!

from ganspace.

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