FastVideo is a lightweight framework for accelerating large video diffusion models.

| Documentation | 🤗 FastHunyuan | 🤗 FastMochi | 🟣💬 Slack |

repo-demo.mp4

FastVideo currently offers: (with more to come)

• [NEW!] V1 inference API available. Full announcement coming soon!
• Sliding Tile Attention.
• FastHunyuan and FastMochi: consistency distilled video diffusion models for 8x inference speedup.
• First open distillation recipes for video DiT, based on PCM.
• Support distilling/finetuning/inferencing state-of-the-art open video DiTs: 1. Mochi 2. Hunyuan.
• Scalable training with FSDP, sequence parallelism, and selective activation checkpointing, with near linear scaling to 64 GPUs.
• Memory efficient finetuning with LoRA, precomputed latent, and precomputed text embeddings.

Dev in progress and highly experimental.

Change Log

• 2025/02/20: FastVideo now supports STA on StepVideo with 3.4X speedup!
• 2025/02/18: Release the inference code and kernel for Sliding Tile Attention.
• 2025/01/13: Support Lora finetuning for HunyuanVideo.
• 2024/12/25: Enable single 4090 inference for FastHunyuan, please rerun the installation steps to update the environment.
• 2024/12/17: FastVideo v0.0.1 is released.

Getting Started

• Install FastVideo
• Design Overview
• Contribution Guide

Inference

• Quick Start
• V1 Inference API Guide (Coming soon!)

Distillation and Finetuning

• Distillation Guide
• Finetuning Guide

Deprecated APIs

• V0 Inference (Deprecated)

📑 Development Plan

• More models support
  • Add StepVideo to V1
• Optimization features
  • Teacache in V1
  • SageAttention in V1
• Code updates
  • V1 Configuration API
  • Support Training in V1

🤝 Contributing

We welcome all contributions. Please check out our guide here

Acknowledgement

We learned and reused code from the following projects:

• PCM
• diffusers
• OpenSoraPlan
• xDiT
• vLLM
• SGLang

We thank MBZUAI and Anyscale for their support throughout this project.

Citation

If you use FastVideo for your research, please cite our paper:

@misc{zhang2025fastvideogenerationsliding,
      title={Fast Video Generation with Sliding Tile Attention},
      author={Peiyuan Zhang and Yongqi Chen and Runlong Su and Hangliang Ding and Ion Stoica and Zhenghong Liu and Hao Zhang},
      year={2025},
      eprint={2502.04507},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.04507},
}
@misc{ding2025efficientvditefficientvideodiffusion,
      title={Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile},
      author={Hangliang Ding and Dacheng Li and Runlong Su and Peiyuan Zhang and Zhijie Deng and Ion Stoica and Hao Zhang},
      year={2025},
      eprint={2502.06155},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.06155},
}