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Run Qwen3-TTS text-to-speech locally on Mac (M1/M2/M3/M4). Voice cloning, voice design, custom voices. 100% offline using MLX.
| Date | Stars |
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| 2026-07-24 | 537 |
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| 2026-08-06 | 541 |
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# Qwen3-TTS for Mac - Run AI Text-to-Speech Locally on Apple Silicon
Run **Qwen3-TTS** text-to-speech AI locally on your MacBook with Apple Silicon (M1, M2, M3, M4). No cloud, no API keys, completely offline.
**Keywords:** Qwen TTS Mac, Qwen3 TTS Apple Silicon, MLX text to speech, local TTS Mac, voice cloning Mac, AI voice generator MacBook
---
## Features
- **Voice Cloning** - Clone any voice from a 5-second audio sample
- **Voice Design** - Create new voices by describing them ("deep narrator", "excited child")
- **Custom Voices** - 9 built-in voices with emotion and speed control
- **100% Local** - Runs entirely on your Mac, no internet required
- **Optimized for M-Series** - Uses Apple's MLX framework for fast GPU inference
---
## Why MLX Models?
MLX models are specifically optimized for Apple Silicon. Compared to running standard PyTorch models:
| Metric | Standard Model | MLX Model |
|--------|----------------|-----------|
| **RAM Usage** | 10+ GB | 2-3 GB |
| **CPU Temperature** | 80-90°C | 40-50°C |
*Tested on M4 MacBook Air (fanless) with 1.7B models*
MLX runs natively on the Apple Neural Engine and GPU, meaning better performance with less heat and battery drain.
---
## Quick Start (5 Minutes)
### 1. Clone and setup
```bash
git clone https://github.com/kapi2800/qwen3-tts-apple-silicon.git
cd qwen3-tts-apple-silicon
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
brew install ffmpeg
```
### 2. Download models
Pick the models you need from the table below. Click the link, then click "Download" on HuggingFace.
**Pro Models (1.7B) - Best Quality**
| Model | Use Case | Download |
|-------|----------|----------|
| CustomVoice | Preset voices + emotion control | [Download](https://huggingface.co/mlx-community/Qwen3-TTS-12Hz-1.7B-CustomVoice-8bit) |
| VoiceDesign | Create voices from text description | [Download](https://huggingface.co/mlx-community/Qwen3-TTS-12Hz-1.7B-VoiceDesign-8bit) |
| Base | Voice cloning from audio | [Download](https://huggingface.co/mlx-community/Qwen3-TTS-12Hz-1.7B-Base-8bit) |
**Lite Models (0.6B) - Faster, Less RAM**
| Model | Use Case | Download |
|-------|----------|----------|
| CustomVoice | Preset voices + emotion control | [Download](https://huggingface.co/mlx-community/Qwen3-TTS-12Hz-0.6B-CustomVoice-8bit) |
| VoiceDesign | Create voices from text description | [Download](https://huggingface.co/mlx-community/Qwen3-TTS-12Hz-0.6B-VoiceDesign-8bit) |
| Base | Voice cloning from audio | [Download](https://huggingface.co/mlx-community/Qwen3-TTS-12Hz-0.6B-Base-8bit) |
Put downloaded folders in `models/`:
```
models/
├── Qwen3-TTS-12Hz-1.7B-CustomVoice-8bit/
├── Qwen3-TTS-12Hz-1.7B-VoiceDesign-8bit/
└── Qwen3-TTS-12Hz-1.7B-Base-8bit/
```
### 3. Run
```bash
source .venv/bin/activate
python main.py
```
---
## Usage
```
========================================
Qwen3-TTS Manager
========================================
Pro Models (1.7B - Best Quality)
---------------------------------
1. Custom Voice
2. Voice Design
3. Voice Cloning
Lite Models (0.6B - Faster)
---------------------------
4. Custom Voice
5. Voice Design
6. Voice Cloning
q. Exit
Select:
```
- **Custom Voice**: Pick from preset speakers, set emotion and speed
- **Voice Design**: Describe a voice (e.g., "calm British narrator")
- **Voice Cloning**: Provide a reference audio clip to clone
---
## Tips
- Drag `.txt` files directly into the terminal for long text
- Voice cloning works best with clean 5-10 second audio clips
- Speed options: Normal (1.0x), Fast (1.3x), Slow (0.8x)
- Type `q` or `exit` anytime to go back
---
## Requirements
- macOS with Apple Silicon (M1/M2/M3/M4)
- Python 3.10+
- RAM: ~3GB for Lite models, ~6GB for Pro models
---
## Troubleshooting
| Issue | Fix |
|-------|-----|
| `mlx_audio not found` | Run `source .venv/bin/activate` first |
| `Model not found` | Check model folder names match exactly |
| Audio won't play | ChecExcerpt of 4,621 characters
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matched fp:01ac01691ed1e1cc, topic:text-to-speech, topic:tts, topic:voice-cloning