This repository implements the ’lightweight’ GAN architecture proposed in ICLR 2021. The model uses skip-layer excitation in the generator combined with autoencoding self-supervised learning in the discriminator to achieve high-quality 1024x1024 image generation with reduced computational requirements. It trains efficiently on a single GPU and includes configurable augmentation strategies for low-data settings.