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Welcome to 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
- 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.
- 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?
:::{toctree} :caption: Getting Started :maxdepth: 1
getting_started/installation
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:::{toctree} :caption: Inference :maxdepth: 1
inference/inference_quick_start inference/configuration inference/optimizations inference/support_matrix inference/examples/examples_inference_index inference/cli inference/add_pipeline 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 :::
:::{toctree} :caption: API Reference :maxdepth: 2
api/fastvideo/fastvideo :::
Indices and tables
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modindex