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According to the issuse from original repo(https://github.com/orpatashnik/StyleCLIP/issues/95), the author said that it should take aroud 4 hours within a local GTX1080 while others claim that 24 hours is need with...

Excuse me, the 1024 model is too large for my GPU, but I didn't find the ffhq256.pkl in the readme, so where can i get it.

I trained Stylegan2ada-Pytorch on my own non-face dataset, and had problems with extract.py. Hope to get your help!

please add colab for inference

self.W = torch.load(f'tensor/W{dataset_name}.pt') self.S = torch.load(f'tensor/S{dataset_name}.pt') self.S_mean = torch.load(f'tensor/S_mean{dataset_name}.pt') self.S_std = torch.load(f'tensor/S_std{dataset_name}.pt') Traceback (most recent call last): File "test.py", line 12, in manipulator = Manipulator(G, device) File "/home/jp/Documents/gitWorkspace/StyleCLIP-pytorch-1/manipulator.py", line 51,...

Hello, thanks for the nice work In manipulator.py#L251, 256 I think it should be, ``` start = img_ind*batchsize end = img_ind*batchsize + batchsize ``` Thanks

And where do I change the variables? Say, I want 500 instead of 100 images? Seems like this thing should be changed? or no? ``` # 2 * 100 images...

I have several models trained using this implementation https://github.com/rosinality/stylegan2-pytorch. The data is in 256x256. However, I noticed in the original StyleCLIP that it has problems dealing with non 512x512 data....

Thank you very much for sharing the copy store version of clipstyle-GDThank you very much for sharing the pytorchversion of clipstyle-GD.In the code, what should I do to obtain the...