hao-ai-lab / FastVideo

| Documentation | Cookbook | Quick Start | Weekly Dev Meeting | 🟣💬 Slack | 🟣💬 WeChat |
**FastVideo is a unified post-training and real-time inference framework for accelerated video generation.**
## NEWS
- `2026/10/06`: FastH3 V2 now runs on a single consumer machine: NVIDIA RTX 5090, RTX 4090 and RTX PRO 6000 GPUs, DGX Spark and Apple Silicon. We also release FastH3 Trim, an experimental pruned model that is 4.2× smaller than base H3 and runs in as little as 8 GB of GPU memory. Get the models and read the Blog.
- `2026/10/06`: FastVideo now supports Kandinsky 6 from Kandinsky Lab: text- and image-to-video with synchronized audio (base and 10-step distilled pi-Flow checkpoints) plus video super-resolution up to 4x. See the Kandinsky 6 recipes.
- `2026/09/15`: Release FastH3 8-Step V2, an eight-forward data-free DMD2 checkpoint distilled from MiniMax-H3 with 80% Video Sparse Attention. Run it with `examples/inference/basic/basic_fasth3_8step.py` or the FastH3 8-Step V2 recipe.
- `2026/09/01`: FastH3 now runs locally on Apple Silicon through MLX and on NVIDIA DGX Spark through CUDA 13, including two-Spark inference. Follow the FastH3 recipes and read the Blog.
- `2026/08/27`: FastH3 Preview v1 is an open-weight 4-step sparse-distilled MiniMax-H3 model for synchronized video-and-audio generation, developed in collaboration with Nuva Lab and the NVIDIA FastGen team. Download the recommended VSA / Data-Free weights, or see the full FastH3 collection.
- `2026/08/19`: FastVideo now supports MLX on Apple Silicon with FastMetal-QAD, a family of 1.3B, 5B, and 14B models optimized for Mac. Follow the MLX install guide and read the Blog.
- `2026/06/23`: Release FastWan-QAD: 5s of Video generated in 1.8s E2E. See the FastWan-QAD models, Attn-QAT training guide, and blog.
- `2026/03/17`: Release demo: Into the Dreamverse: Vibe Directing in FastVideo, check out the Blog.
- `2026/03/13`: Release demo: Create a 5s 1080p Video in 4.5s with FastVideo on a Single GPU, check out the Blog.
- `2025/11/19`: Release CausalWan2.2 I2V A14B Preview models, Blog and Inference Code!.
- `2025/08/04`: Release FastWan models and Sparse-Distillation.
### More News
- `2025/06/14`: Release finetuning and inference code for VSA.
- `2025/04/24`: FastVideo V1 is released!
- `2025/02/18`: Release the inference code for Sliding Tile Attention.
## Key Features
FastVideo has the following features:
- End-to-end post-training support for bidirectional and autoregressive models:
 - Support full finetuning and LoRA finetuning for state-of-the-art open video DiTs
 - Data preprocessing pipeline for video, image, and text data
 - Distribution Matching Distillation (DMD2) stepwise distillation.
 - Sparse attention with Video Sparse Attention
 - Sparse distillation to achieve >50x denoising speedup
 - Scalable training with FSDP2, sequence parallelism, and selective activation checkpointing.
 - Causal distillation through Self-Forcing
 - See this page for the supported training workflows, and the