FastVideo Guide: Accelerated Video Generation & Post-Training
A complete guide to FastVideo — the unified inference and post-training framework for accelerated video generation from Hao AI Lab.
FastVideo is a unified inference and post-training framework from Hao AI Lab that makes accelerated video generation practical on a single GPU or a full cluster. With nearly 4,000 GitHub stars and an Apache-2.0 license, it has quickly become a favorite for teams that want to generate, fine-tune, and distill video diffusion models without juggling five different codebases.
🚀 Want to deploy FastVideo yourself?
Docker configs, system requirements, and installation guides — all on one page.
View FastVideo Tool Page →What makes FastVideo different?
Most video-generation stacks split inference and training into separate projects with incompatible formats. FastVideo unifies both sides: you can run state-of-the-art video diffusion models for fast inference and apply a full post-training recipe stack in one place. The framework ships with optimized attention kernels, Tensor Parallel support, and high-performance sampling that cut generation latency dramatically.
Key features at a glance:
- ⚡ High-performance inference with FlashAttention & Tensor Parallel
- 🎓 Full post-training stack: SFT, LoRA, DPO, and distillation
- 🎬 Support for popular models — CogVideoX, HunyuanVideo, Mochi, LTX-Video
- 🐳 Dockerized CUDA images for reproducible deployments
- 📊 Benchmarks and configs for single-GPU to multi-node setups
Post-training recipes built in
FastVideo treats post-training as a first-class citizen. Instead of wiring up separate training scripts, you get ready-to-run recipes for supervised fine-tuning, parameter-efficient LoRA adapters, preference optimization (DPO), and even model distillation to shrink generation costs. That makes it an excellent choice for teams fine-tuning video models on custom data.
| Capability | FastVideo support |
|---|---|
| Inference engines | vLLM-style optimized serving + native pipeline |
| Fine-tuning | SFT & LoRA |
| Alignment | DPO |
| Efficiency | Distillation, FlashAttention, Tensor Parallel |
| License | Apache-2.0 |
Is FastVideo right for you?
If you need a self-hosted video-generation pipeline that can go from prompt to production — and eventually fine-tune on your own footage — FastVideo is one of the most complete open-source options today. Its unified API keeps the learning curve low while the optimized kernels keep latency down.
🚀 Want to deploy FastVideo yourself?
Docker configs, system requirements, and installation guides — all on one page.
View FastVideo Tool Page →