stylegan2-pytorch
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Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
Is it okay to train the model pretrained with 1024*1024 ffhq with images with a lower resolution than this?
I wanna do some finetune works based on my own dataset, I create LMDB dataset based on the guideline in the repo: `python prepare_data.py --out LMDB_PATH --n_worker N_WORKER --size SIZE1,SIZE2,SIZE3,......
Hi, I tried running `convert_weight.py` in a couple of different environments but I get the following error: ``` File "/stylegan2/dnnlib/tflib/network.py", line 278, in __setstate__ assert state["version"] in [2, 3, 4]...
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1. RuntimeError: Error building extension 'fused': [1/3] /usr/local/cuda/bin/nvcc ninja: build stopped: subcommand failed. I spent a day, but I can't train it.
Does anyone have the pre-trained model of stylegan2 on CelebA dataset?
Some errors occurred during compiling the code, can you tell us the version of the torch, and other software environment, such as cuda, cudnn, gcc, ninja, re2c. Thank you !
Hi, first of all thanks for your work. I'm having issues with projector.py when steps < 100. E.g. with !python projector.py --size 1024 --step 99 --ckpt /content/output/checkpoint/latest.pt $filepath I get...
I'm training on a smaller version of 256x256 FFHQ with only 3000 faces. `python -m torch.distributed.launch --nproc_per_node=2 train.py --batch 8 --augment --wandb /workspace/data/ffhq3k-lmdb/ ` The emitted samples have some faces...