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Voice & audio

kapi2800/qwen3-tts-apple-silicon

Run Qwen3-TTS text-to-speech locally on Mac (M1/M2/M3/M4). Voice cloning, voice design, custom voices. 100% offline using MLX.

Runs on MacPython
Stars
585
Forks
88
Open issues
6
Last push
5mo ago

About qwen3-tts-apple-silicon

qwen3-tts-apple-silicon is a free, open-source AI voice and audio tool by kapi2800, written mainly in Python. Run Qwen3-TTS text-to-speech locally on Mac (M1/M2/M3/M4). Voice cloning, voice design, custom voices. 100% offline using MLX. It has 585 GitHub stars and 88 forks, and was last updated 5mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially. According to the project, it works on macOS.

License
Not detected
Language
Python
Stars
585
Last update
5mo ago
Runs on Mac
Yes (as stated by the project)
GPU
Not stated
Paid API key
Not required
Self-hostable
Yes

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qwen3-tts-apple-silicon FAQ

Is qwen3-tts-apple-silicon free?

Yes. qwen3-tts-apple-silicon is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.

Does qwen3-tts-apple-silicon run on a Mac?

Yes. According to the project, qwen3-tts-apple-silicon works on macOS.

Does qwen3-tts-apple-silicon need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is qwen3-tts-apple-silicon still maintained?

It was last updated 5mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to qwen3-tts-apple-silicon?

Similar free, open-source tools include GPT-SoVITS, VoxCPM, Real-Time-Voice-Cloning, voicebox.

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