This repository implements Jonathan Ho’s Video Diffusion Models paper, extending denoising diffusion probabilistic models (DDPMs) from 2D images to 3D video generation. It uses a space-time factored U-net architecture and incorporates BERT-large for text embedding conditioning to enable text-to-video synthesis. The model can be trained on video data and sampled to generate new videos.