Qwen3-TTS Apple Silicon
SkillMediaLocal Qwen3-TTS on Apple Silicon using MLX. Use when generating Chinese speech, testing Qwen3-TTS voices, selecting built-in speakers, applying style instructions, cloning a voice from reference audio, or designing a new voice from text descriptions on this Mac. Best for local/offline TTS, Apple Silicon/MLX validation, prompt-to-speech generation, and reusable dubbing workflows.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Qwen3-TTS Apple Silicon skill
What this skill tells your AI
The instructions your AI receives, as published by qianleigood/crawclaw in skills-optional/qwen3-tts-apple-silicon/SKILL.md and read by ahel’s review.
在这台 Apple Silicon Mac 上,优先通过 scripts/qwen3_tts.py 使用本地 Qwen3-TTS。
选择哪条链路
- 用
synth:已知 speaker + instruction 的普通合成 - 用
clone:给参考音频 + 准确转写,做语音克隆 - 用
voice-design:只给文字描述,直接设计新音色 - 用
list-speakers:查看当前预置 speaker
快速开始
cd /Users/qianleilei/.crawclaw/workspace/skills/qwen3-tts-apple-silicon
bash scripts/setup_env.sh
python scripts/qwen3_tts.py list-speakers
普通合成:
python scripts/qwen3_tts.py synth \
--text "今天我们先验证一条更稳妥的本地配音方案。" \
--speaker serena \
--instruction "用自然、清晰、平稳的中文女声朗读。" \
--file-prefix demo
语音克隆:
python scripts/qwen3_tts.py clone \
--text "这是一条用于验证参考音频克隆效果的中文句子。" \
--ref-audio /absolute/path/to/ref.wav \
--ref-text "这是一条用于验证参考音频克隆效果的中文句子。" \
--file-prefix clone_demo
音色设计:
python scripts/qwen3_tts.py voice-design \
--text "今天测试一下音色设计能力。" \
--instruction "一个自然、温和、清晰的中文女声,成熟一些,语速平稳,适合讲解和说明。" \
--file-prefix designed
默认策略
synth默认模型:mlx-community/Qwen3-TTS-12Hz-0.6B-CustomVoice-8bitclone默认模型:mlx-community/Qwen3-TTS-12Hz-0.6B-Base-8bitvoice-design默认模型:mlx-community/Qwen3-TTS-12Hz-1.7B-VoiceDesign-4bit- 默认语言:
zh - 默认 speaker:
serena - 默认输出目录:
~/.cache/crawclaw/qwen3-tts-apple-silicon/outputs/ - 先用 0.6B 验证链路;只有需要 VoiceDesign 时再拉起 1.7B
注意事项
- 不要依赖
mlx_audio的通用默认参数;对普通合成显式传speaker与lang=zh clone已绕过generate_audio()包装层,避免误导性的Voice: af_heart日志- 参考音频优先 5-10 秒、单人、安静、无混响,且
ref_text尽量准确 - 首次运行可能下载模型;未配置 Hugging Face token 时会更慢
- 命令末尾会输出 JSON,包含
output_dir与audio_files - 三条主命令都支持
--file-prefix
资源
scripts/setup_env.sh:创建.venv并安装依赖scripts/qwen3_tts.py:统一 CLI,支持list-speakers/synth/clone/voice-designreferences/notes.md:实测数据、模型说明、af_heart排查结论、warning 记录
Signals
- GitHub stars
- 30
- Forks
- 1
- Last commit
- Sep 2026
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qwen3-tts-apple-silicon- Source
- github.com/qianleigood/crawclaw