This repository provides an unofficial PyTorch implementation of BigGAN based on the paper Large Scale GAN Training for High Fidelity Natural Image Synthesis. It enables training of BigGAN models on ImageNet with support for 4-8 GPU configurations using gradient accumulation to achieve effective mega-batch sizes. The code handles dataset preparation, inception score calculation, and FID evaluation, with pretrained models available for download.