# Welcome to FastVideo :::{figure} ../../assets/logo.jpg :align: center :alt: FastVideo :class: no-scaled-link :width: 60% ::: :::{raw} html

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

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::: FastVideo is a lightweight framework for accelerating large video diffusion models developed by the [Hao AI Lab](https://hao-ai-lab.github.io/).
FastVideo currently offers: (with more to come) - [NEW!] V1 inference API available. Full announcement coming soon! - [Sliding Tile Attention](https://hao-ai-lab.github.io/blogs/sta/). - FastHunyuan and FastMochi: consistency distilled video diffusion models for 8x inference speedup. - First open distillation recipes for video DiT, based on [PCM](https://github.com/G-U-N/Phased-Consistency-Model). - 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. ## Documentation % How to start using FastVideo? :::{toctree} :caption: Getting Started :maxdepth: 1 getting_started/installation ::: :::{toctree} :caption: Inference :maxdepth: 1 inference/examples/examples_inference_index inference/v0_inference ::: :::{toctree} :caption: Training :maxdepth: 1 training/data_preprocess training/distillation training/finetune ::: % What is STA Kernel? :::{toctree} :caption: Sliding Tile Attention :maxdepth: 1 sliding_tile_attention/installation sliding_tile_attention/demo ::: :::{toctree} :caption: Design :maxdepth: 1 design/overview ::: :::{toctree} :caption: Developer Guide :maxdepth: 2 contributing/overview contributing/developer_env/index contributing/add_pipeline ::: ## Indices and tables - {ref}`genindex` - {ref}`modindex`