[docs]: point the README and news links at the canonical site host
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Aryan Kumar
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fv-superagent
fv-superagent
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</div>
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<p align="center">
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| <a href="https://hao-ai-lab.github.io/FastVideo"><b>Documentation</b></a> | <a href="https://haoailab.com/FastVideo/cookbook/"><b>Cookbook</b></a> | <a href="https://hao-ai-lab.github.io/FastVideo/inference/inference_quick_start/"><b> Quick Start</b></a> | <a href="https://github.com/hao-ai-lab/FastVideo/discussions/982" target="_blank"><b>Weekly Dev Meeting</b></a> | 🟣💬 <a href="https://join.slack.com/t/fastvideo/shared_invite/zt-3f4lao1uq-u~Ipx6Lt4J27AlD2y~IdLQ" target="_blank"> <b>Slack</b> </a> | 🟣💬 <a href="https://github.com/hao-ai-lab/FastVideo/discussions/1097" target="_blank"> <b> WeChat </b> </a> |
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| <a href="https://haoailab.com/FastVideo"><b>Documentation</b></a> | <a href="https://haoailab.com/FastVideo/cookbook/"><b>Cookbook</b></a> | <a href="https://haoailab.com/FastVideo/inference/inference_quick_start/"><b> Quick Start</b></a> | <a href="https://github.com/hao-ai-lab/FastVideo/discussions/982" target="_blank"><b>Weekly Dev Meeting</b></a> | 🟣💬 <a href="https://join.slack.com/t/fastvideo/shared_invite/zt-3f4lao1uq-u~Ipx6Lt4J27AlD2y~IdLQ" target="_blank"> <b>Slack</b> </a> | 🟣💬 <a href="https://github.com/hao-ai-lab/FastVideo/discussions/1097" target="_blank"> <b> WeChat </b> </a> |
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</p>
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**FastVideo is a unified post-training and real-time inference framework for accelerated video generation.**
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## Recent news
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- `2026/10/21`: Release [FastH3 Omni](https://huggingface.co/FastVideo/FastVideo-FastH3-Omni-8-Step-V1) (Ref2VA): reference-conditioned video-and-audio generation from a prompt plus ordered image, video and audio references, in eight fused forwards. It runs on consumer Blackwell (RTX 5090, RTX PRO 6000, DGX Spark — [NVFP4 QAD](https://huggingface.co/FastVideo/FastH3-OmniRef-NVFP4-QAD)), on RTX 4090 (FP8) and on Apple Silicon (MLX). See the [cookbook](https://haoailab.com/FastVideo/cookbook/minimax-h3/) and the [inference guide](https://hao-ai-lab.github.io/FastVideo/inference/fasth3_omniref/).
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- `2026/10/21`: Release [FastH3 Omni](https://huggingface.co/FastVideo/FastVideo-FastH3-Omni-8-Step-V1) (Ref2VA): reference-conditioned video-and-audio generation from a prompt plus ordered image, video and audio references, in eight fused forwards. It runs on consumer Blackwell (RTX 5090, RTX PRO 6000, DGX Spark — [NVFP4 QAD](https://huggingface.co/FastVideo/FastH3-OmniRef-NVFP4-QAD)), on RTX 4090 (FP8) and on Apple Silicon (MLX). See the [cookbook](https://haoailab.com/FastVideo/cookbook/minimax-h3/) and the [inference guide](https://haoailab.com/FastVideo/inference/fasth3_omniref/).
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- `2026/10/06`: FastVideo now supports [Kandinsky 6](https://x.com/kandinskylab_ai/status/2107374635218055345) from Kandinsky Lab: text- and image-to-video with synchronized audio (base and 10-step distilled pi-Flow checkpoints) plus video super-resolution up to 4x. See the [Kandinsky 6 recipes](https://haoailab.com/FastVideo/cookbook/kandinsky6/).
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- `2026/10/06`: FastH3 V2 now runs on a single consumer machine: NVIDIA RTX 5090, RTX 4090 and RTX PRO 6000 GPUs, DGX Spark and Apple Silicon. We also release [FastH3 Trim](https://huggingface.co/FastVideo/FastVideo-FastH3-Trim-8-Step-NVFP4), an experimental pruned model that is 4.2× smaller than base H3 and runs in as little as 8 GB of GPU memory. Get the [models](https://huggingface.co/collections/FastVideo/fastvideo-fasth3) and read the [Blog](https://haoailab.com/blogs/fasth3-rtx/).
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- `2026/09/15`: Release [FastH3 8-Step V2](https://huggingface.co/FastVideo/FastVideo-FastH3-8-Step-V2), an eight-forward data-free DMD2 checkpoint distilled from MiniMax-H3 with 80% Video Sparse Attention. Run it with `examples/inference/basic/basic_fasth3_8step.py` or the [FastH3 8-Step V2 recipe](https://haoailab.com/FastVideo/cookbook/minimax-h3/).
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- `2026/09/01`: FastH3 now runs locally on Apple Silicon through MLX and on NVIDIA DGX Spark through CUDA 13, including two-Spark inference. Follow the [FastH3 recipes](https://haoailab.com/FastVideo/cookbook/minimax-h3/) and read the [Blog](https://haoailab.com/blogs/fasth3-local/).
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- `2026/08/27`: [FastH3 Preview v1](https://haoailab.com/blogs/fasth3-preview/) is an open-weight 4-step sparse-distilled MiniMax-H3 model for synchronized video-and-audio generation, developed in collaboration with [Nuva Lab](https://nuvalab.ai/) and the [NVIDIA FastGen team](https://github.com/NVlabs/FastGen). Download the recommended [VSA / Data-Free weights](https://huggingface.co/FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree), or see the [full FastH3 collection](https://huggingface.co/collections/FastVideo/fastvideo-fasth3).
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- `2026/08/19`: FastVideo now supports MLX on Apple Silicon with [FastMetal-QAD](https://huggingface.co/collections/FastVideo/fastmetal), a family of 1.3B, 5B, and 14B models optimized for Mac. Follow the [MLX install guide](https://hao-ai-lab.github.io/FastVideo/getting_started/installation/mlx/) and read the [Blog](https://haoailab.com/blogs/fastmetal/).
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- `2026/08/19`: FastVideo now supports MLX on Apple Silicon with [FastMetal-QAD](https://huggingface.co/collections/FastVideo/fastmetal), a family of 1.3B, 5B, and 14B models optimized for Mac. Follow the [MLX install guide](https://haoailab.com/FastVideo/getting_started/installation/mlx/) and read the [Blog](https://haoailab.com/blogs/fastmetal/).
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### More News
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- [All announcements and earlier milestones](https://hao-ai-lab.github.io/FastVideo/news/).
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- [All announcements and earlier milestones](https://haoailab.com/FastVideo/news/).
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## Key Features
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@@ -33,16 +33,16 @@ FastVideo has the following features:
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- [Sparse distillation](https://hao-ai-lab.github.io/blogs/fastvideo_post_training/) to achieve >50x denoising speedup
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- Scalable training with FSDP2, sequence parallelism, and selective activation checkpointing.
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- Causal distillation through Self-Forcing
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- See this [page](https://hao-ai-lab.github.io/FastVideo/training/overview/) for the supported training workflows, and the [support matrix](https://hao-ai-lab.github.io/FastVideo/inference/support_matrix/) for supported models.
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- See this [page](https://haoailab.com/FastVideo/training/overview/) for the supported training workflows, and the [support matrix](https://haoailab.com/FastVideo/inference/support_matrix/) for supported models.
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- State-of-the-art performance optimizations for inference
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- Sequence Parallelism for distributed inference
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- Multiple state-of-the-art attention backends
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- User-friendly CLI and Python API
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- See this [page](https://hao-ai-lab.github.io/FastVideo/inference/optimizations/) for full list of supported optimizations.
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- See this [page](https://haoailab.com/FastVideo/inference/optimizations/) for full list of supported optimizations.
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- Diverse hardware and OS support
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- Support H100, A100, 4090
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- Support Linux, Windows, MacOS
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- See this [page](https://hao-ai-lab.github.io/FastVideo/inference/support_matrix/) for full list of supported models, hardware assumptions, and optimization compatibility.
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- See this [page](https://haoailab.com/FastVideo/inference/support_matrix/) for full list of supported models, hardware assumptions, and optimization compatibility.
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- Realtime video generation & editing
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- [Dreamverse](apps/dreamverse/README.md): stream and "vibe direct" video in realtime ([live demo](https://dreamverse.fastvideo.org/)), deployable on local GPU, a self-hosted B200 server, Docker, or serverless Modal
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@@ -58,13 +58,13 @@ source .venv/bin/activate
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UV_TORCH_BACKEND=cu126 uv pip install fastvideo
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```
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Platform guides: [NVIDIA GPUs](https://hao-ai-lab.github.io/FastVideo/getting_started/installation/gpu/), [DGX Spark / GB10](https://hao-ai-lab.github.io/FastVideo/getting_started/installation/spark/), [Apple Silicon MLX](https://hao-ai-lab.github.io/FastVideo/getting_started/installation/mlx/), [AMD / ROCm](https://hao-ai-lab.github.io/FastVideo/getting_started/installation/amd/) — or the [full installation guide](https://hao-ai-lab.github.io/FastVideo/getting_started/installation/).
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Platform guides: [NVIDIA GPUs](https://haoailab.com/FastVideo/getting_started/installation/gpu/), [DGX Spark / GB10](https://haoailab.com/FastVideo/getting_started/installation/spark/), [Apple Silicon MLX](https://haoailab.com/FastVideo/getting_started/installation/mlx/), [AMD / ROCm](https://haoailab.com/FastVideo/getting_started/installation/amd/) — or the [full installation guide](https://haoailab.com/FastVideo/getting_started/installation/).
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To have a coding agent do the install, give it the [agent install prompt](https://hao-ai-lab.github.io/FastVideo/getting_started/installation/#install-with-an-ai-coding-agent).
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To have a coding agent do the install, give it the [agent install prompt](https://haoailab.com/FastVideo/getting_started/installation/#install-with-an-ai-coding-agent).
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## Sparse Distillation
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Sparse distillation reaches >50× denoising speedup. See the [distillation guide](https://hao-ai-lab.github.io/FastVideo/distillation/dmd/) and the [blog](https://hao-ai-lab.github.io/blogs/fastvideo_post_training/); the training recipes live under [`examples/distill/`](examples/distill/) with the [FastVideo Synthetic datasets](https://huggingface.co/FastVideo).
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Sparse distillation reaches >50× denoising speedup. See the [distillation guide](https://haoailab.com/FastVideo/distillation/dmd/) and the [blog](https://hao-ai-lab.github.io/blogs/fastvideo_post_training/); the training recipes live under [`examples/distill/`](examples/distill/) with the [FastVideo Synthetic datasets](https://huggingface.co/FastVideo).
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## Dreamverse — Realtime Video Generation & Editing
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@@ -83,7 +83,7 @@ serverless [Modal](apps/dreamverse/scripts/modal/README.md) — see the
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### Generating Your First Video
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Here's a minimal example to generate a video using the default settings. Make sure VSA kernels are [installed](https://hao-ai-lab.github.io/FastVideo/attention/vsa/#installation). Create a file called `example.py` with the following code:
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Here's a minimal example to generate a video using the default settings. Make sure VSA kernels are [installed](https://haoailab.com/FastVideo/attention/vsa/#installation). Create a file called `example.py` with the following code:
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```python
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import os
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python example.py
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```
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For a more detailed guide, please see our [inference quick start](https://hao-ai-lab.github.io/FastVideo/inference/inference_quick_start/).
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For a more detailed guide, please see our [inference quick start](https://haoailab.com/FastVideo/inference/inference_quick_start/).
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## More Guides
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- [Design Overview](https://hao-ai-lab.github.io/FastVideo/design/overview/)
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- [Distillation Guide](https://hao-ai-lab.github.io/FastVideo/distillation/dmd/)
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- [Contribution Guide](https://hao-ai-lab.github.io/FastVideo/contributing/overview/)
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- [Design Overview](https://haoailab.com/FastVideo/design/overview/)
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- [Distillation Guide](https://haoailab.com/FastVideo/distillation/dmd/)
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- [Contribution Guide](https://haoailab.com/FastVideo/contributing/overview/)
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## Awesome work using FastVideo or our research projects
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@@ -141,7 +141,7 @@ For a more detailed guide, please see our [inference quick start](https://hao-ai
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## 🤝 Contributing
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We welcome all contributions. Please check out our guide [here](https://hao-ai-lab.github.io/FastVideo/contributing/overview/).
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We welcome all contributions. Please check out our guide [here](https://haoailab.com/FastVideo/contributing/overview/).
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See details in [development roadmap](https://github.com/hao-ai-lab/FastVideo/issues/899).
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## Acknowledgement
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@@ -265,7 +265,7 @@ export async function transferDocs() {
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.replace(/\[([^\]]+)\]\([^)]+\)/g, "$1")
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.split(/:\s|\.\s/)[0]
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.replace(/\.$/, "");
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const href = links.at(-1)?.[2] ?? "https://hao-ai-lab.github.io/FastVideo/news/";
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const href = links.at(-1)?.[2] ?? "https://haoailab.com/FastVideo/news/";
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const iso = date.replaceAll("/", "-");
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const label = new Intl.DateTimeFormat("en", {
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month: "short",
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@@ -277,7 +277,7 @@ export async function transferDocs() {
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});
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await writeFile(
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join(content, "_snippets/home-news.mdx"),
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`<section className="home-news not-prose" aria-labelledby="recent-news">\n<div className="home-news-heading"><h2 id="recent-news">Recent news</h2><a className="home-news-more" href="https://hao-ai-lab.github.io/FastVideo/news/">All announcements →</a></div>\n<ul>\n${recent.join("\n")}\n</ul>\n</section>\n`,
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`<section className="home-news not-prose" aria-labelledby="recent-news">\n<div className="home-news-heading"><h2 id="recent-news">Recent news</h2><a className="home-news-more" href="https://haoailab.com/FastVideo/news/">All announcements →</a></div>\n<ul>\n${recent.join("\n")}\n</ul>\n</section>\n`,
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);
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await writeFile(join(content, "_snippets/home-projects.mdx"), asMdx(projects.trim()));
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await rm(join(content, "index.md"));
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