One way forward would be retraining the official BigGAN models. You may not have enough compute to train BigGAN from scratch, but you may have enough to finetun

One way forward would be retraining the official BigGAN models. You may not have enough compute to train BigGAN from scratch, but you may have enough to finetune/retrain it on a new dataset to get the best of both worlds. There's an attempt at implementing BigGAN in PyTorch (https://github.com/AaronLeong/BigGAN-pytorch https://github.com/AaronLeong/BigGAN-pytorch) - anyone know how to load & retrain a TF model in that (https://github.com/AaronLeong/BigGAN-pytorch/issues/2 https://github.com/AaronLeong/BigGAN-pytorch/issues/2)? :)