mit-han-lab/radial-attention
[NeurIPS 2025] Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation
- Stars
- 608
- Forks
- 36
- Open issues
- 19
- Last push
- 11mo ago
About radial-attention
radial-attention is a free, open-source AI video tool by mit-han-lab, written mainly in Python. [NeurIPS 2025] Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation. It has 608 GitHub stars and 36 forks, and was last updated 11mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 608
- Last update
- 11mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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radial-attention FAQ
Is radial-attention free?
Yes. radial-attention is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does radial-attention run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does radial-attention need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is radial-attention still maintained?
It was last updated 11mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to radial-attention?
Similar free, open-source tools include LTX-Video, Open-Generative-AI, HunyuanVideo, Concat.