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Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

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Hi, thank you for your brilliant code. I'm wondering if the official repo's weight can be used directly in your model. In my previous project, I successfully initialized Pytorch InceptionV3's...

Could you post the versions of the various packages you're using? I'm particularly curious about what version of pytorch you use!

``` > CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python3 train.py --mixing --loss r1 --sched --phase 16 train-full Size: 256; G: 2.811; D: 3.419; Grad: 0.003; Alpha: 1.00000: 0%| | 13/3000000 [01:08

May be the resolution of the image in the sample looks like 28*28

May be the resolution of the image in the sample look like 28*28

I run training on four gpu gtx2080ti but training does not start and the error falls Cuda Out of memory GPU: 0, I looked and saw that the program uses...

Nice job, I have a question about the latent code, the latent code in the generate.py is randomly generated. And for me i want to get the latent code of...

I've found that the training loop crashes after tqdm is successfully initiated. We are using the r1 flag. Basically it get stuck somewhere in the first training loop and never...

Hi! I'm new in GAN's field. I have a question about why to use "g_runing" and "accumulate" to do a weighted-average to generator's parameter during training? And why to use...

Hi, Has anyone tried to do a reverse backprop using a target image, to find the best style vector and/or closest GAN image? I can't seem to make it work....