# Welcome to FastVideo
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:alt: FastVideo
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FastVideo is a unified framework for accelerated video generation.
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It features a clean, consistent API that works across popular video models, making it easier for developers to author new models and incorporate system- or kernel-level optimizations.
With FastVideo's optimizations, you can achieve more than 3x inference improvement compared to other systems.
## Key Features
FastVideo has the following features:
- State-of-the-art performance optimizations for inference
- [Sliding Tile Attention](https://arxiv.org/pdf/2502.04507)
- [TeaCache](https://arxiv.org/pdf/2411.19108)
- [Sage Attention](https://arxiv.org/abs/2410.02367)
- Cutting edge models
- Wan2.1 T2V, I2V
- HunyuanVideo
- FastHunyuan: consistency distilled video diffusion models for 8x inference speedup.
- StepVideo T2V
- Distillation support
- 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.
## Documentation
% How to start using FastVideo?
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:caption: Getting Started
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getting_started/installation
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:caption: Inference
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inference/inference_quick_start
inference/configuration
inference/optimizations
inference/support_matrix
inference/examples/examples_inference_index
inference/cli
inference/add_pipeline
inference/v0_inference
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:caption: Training
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training/data_preprocess
training/distillation
training/finetune
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% What is STA Kernel?
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:caption: Sliding Tile Attention
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sliding_tile_attention/installation
sliding_tile_attention/demo
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:caption: Design
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design/overview
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:caption: Developer Guide
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contributing/overview
contributing/developer_env/index
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:caption: API Reference
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api/fastvideo/fastvideo
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## Indices and tables
- {ref}`genindex`
- {ref}`modindex`