:::
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`