FastVideo

Why we included this project

FastVideo is built for teams that want to take a large open video-diffusion model and actually run it on hardware they already own. Instead of serving a downloaded checkpoint as-is, you can adapt or compress it in one codebase that covers both sides of the work: real-time inference plus post-training such as full fine-tuning, LoRA, and distillation. That matters because a stock text-to-video or image-to-video model is often too slow or too large to ship; with FastVideo you can fine-tune it or shrink it via quantization and sparse attention. The repo ships working recipes for current open models like FastWan and CausalWan, with concrete examples tied to the released checkpoints, so the path from downloading weights to a deployable pipeline is much shorter. A demo in the project notes shows a 5-second 1080p clip generated in about 4.5 seconds on a single GPU, which gives a realistic sense of the speedups on offer.