This repository provides code for reproducing the Glow paper, which introduces invertible 1x1 convolutions for flow-based generative models. The model generates high-quality images at scales from 64x64 to 1024x1024 on datasets including CelebA-HQ, ImageNet, and LSUN. Implemented in TensorFlow with support for distributed training via Horovod and MPI.