dgrauet/ltx-2-mlx
Pure MLX port of LTX-2 (LTX-2.3 & LTX-2.5) for Apple Silicon — text/image/audio-to-video generation with audio, natively on Metal
- Stars
- 138
- Forks
- 49
- Open issues
- 0
- Last push
- today
About ltx-2-mlx
ltx-2-mlx is a free, open-source AI video tool by dgrauet, written mainly in Python. Pure MLX port of LTX-2 (LTX-2.3 & LTX-2.5) for Apple Silicon — text/image/audio-to-video generation with audio, natively on Metal. It has 138 GitHub stars and 49 forks, and was last updated today. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 138
- Last update
- today
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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ltx-2-mlx FAQ
Can I use ltx-2-mlx commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is ltx-2-mlx free?
Yes. ltx-2-mlx is open source and free to use. It's released under the MIT license, a standard open-source license.
Does ltx-2-mlx run on a Mac?
Yes. According to the project, ltx-2-mlx works on macOS.
Does ltx-2-mlx need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is ltx-2-mlx still maintained?
Yes. It was last updated today and has 0 open issues on GitHub.
What are alternatives to ltx-2-mlx?
Similar free, open-source tools include Open-Sora-Plan, LTX-Video, Pixelle-Video, hypit.