Local text-to-speech using Qwen3-TTS-12Hz-1.7B-CustomVoice. Use when generating audio from text, creating voice messages, or when TTS is requested. Supports 10 languages including Italian, 9 premium s
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Local text-to-speech using Hugging Face's Qwen3-TTS-12Hz-1.7B-CustomVoice model.
Generate speech from text:
scripts/tts.py "Ciao, come va?" -l Italian -o output.wav
With voice instruction (emotion/style):
scripts/tts.py "Sono felice!" -i "Parla con entusiasmo" -l Italian -o happy.wav
Different speaker:
scripts/tts.py "Hello world" -s Ryan -l English -o hello.wav
First-time setup (one-time):
cd skills/public/qwen-tts bash scripts/setup.sh
This creates a local virtual environment and installs
qwen-ttsNote: First synthesis downloads ~1.7GB model from Hugging Face automatically.
scripts/tts.py [options] "Text to speak"
-o, --output PATH-s, --speaker NAME-l, --language LANG-i, --instruct TEXT--list-speakers--model NAMEBasic Italian speech:
scripts/tts.py "Benvenuto nel futuro del text-to-speech" -l Italian -o welcome.wav
With emotion/instruction:
scripts/tts.py "Sono molto felice di vederti!" -i "Parla con entusiasmo e gioia" -l Italian -o happy.wav
Different speaker:
scripts/tts.py "Hello, nice to meet you" -s Ryan -l English -o ryan.wav
List available speakers:
scripts/tts.py --list-speakers
The CustomVoice model includes 9 premium voices:
| Speaker | Language | Description |
|---|---|---|
| Vivian | Chinese | Bright, slightly edgy young female |
| Serena | Chinese | Warm, gentle young female |
| Uncle_Fu | Chinese | Seasoned male, low mellow timbre |
| Dylan | Chinese (Beijing) | Youthful Beijing male, clear |
| Eric | Chinese (Sichuan) | Lively Chengdu male, husky |
| Ryan | English | Dynamic male, rhythmic |
| Aiden | English | Sunny American male |
| Ono_Anna | Japanese | Playful female, light nimble |
| Sohee | Korean | Warm female, rich emotion |
Recommendation: Use each speaker's native language for best quality, though all speakers support all 10 languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, Italian).
Use
-i, --instructItalian examples:
"Parla con entusiasmo""Tono serio e professionale""Voce calma e rilassante""Leggi come un narratore"English examples:
"Speak with excitement""Very happy and energetic""Calm and soothing voice""Read like a narrator"The script outputs the audio file path to stdout (last line), making it compatible with OpenClaw's TTS workflow:
# OpenClaw captures the output path cd skills/public/qwen-tts OUTPUT=$(scripts/tts.py "Ciao" -s Vivian -l Italian -o /tmp/audio.wav 2>/dev/null) # OUTPUT = /tmp/audio.wav
Setup fails:
# Ensure Python 3.10-3.12 is available python3.12 --versionRe-run setup
cd skills/public/qwen-tts rm -rf venv bash scripts/setup.sh
Model download slow/fails:
# Use mirror (China mainland) export HF_ENDPOINT=https://hf-mirror.com scripts/tts.py "Test" -o test.wav
Out of memory (GPU): The model automatically falls back to CPU if GPU memory insufficient.
Audio quality issues:
--list-speakers-i "Speak clearly and slowly"-l ItalianNo automatic installation available. Please visit the source repository for installation instructions.
View Installation Instructions
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