qwen3-tts-apple-silicon
Runs the Qwen3 text-to-speech model offline on Apple Silicon Macs. It supports voice cloning and custom voices without cloud services.
Share on XNo license declared
Overview
This project runs the Qwen3-TTS text-to-speech model locally on Apple Silicon Macs (M1 to M4) using Apple's MLX framework. It works fully offline, with no cloud service or API keys. It supports cloning a voice from a short sample, designing new voices from a text description, and using built-in voices with emotion and speed control. The README says MLX models use less RAM than standard PyTorch ones.
Key features
- Voice cloning from a 5-second audio sample
- Voice design from a text description
- 9 built-in voices with emotion and speed control
- Runs offline on M-series Macs with MLX
- No cloud service or API keys
Best for
Mac users who want private, offline text-to-speech and voice cloning. It targets Apple Silicon only.
- Upstream
- kapi2800/qwen3-tts-apple-silicon
- Fork on GitHub
- Guo-astro/qwen3-tts-apple-silicon
- Upstream stars
- 576
- Category
- Documents, media and content
- Language
- Python
- License
- No license declaredWithout a license, the author keeps all rights. Ask the upstream owner before reusing the code.
- Forked
- 2026-02-18
- Sync status
- In syncLast synced 2026-10-10
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