This repository provides the official TensorFlow implementation of StyleGAN2 with adaptive discriminator augmentation (ADA), a technique that stabilizes GAN training when data is limited. The approach uses adaptive data augmentation to prevent discriminator overfitting, enabling high-quality image generation with as few as a few thousand training images. It supports mixed-precision training for faster computation and lower GPU memory usage.