Running this model locally is fastest when deployed through Docker.
Simply follow the directions outlined below.
Next, execute the setup script or run docker-compose.
Qwen3-TTS-12Hz-1.7B-CustomVoice is a cutting‑edge text‑to‑speech model that delivers high‑fidelity voice synthesis at a 12 Hz frame rate. It supports custom voice cloning, allowing users to train on just a few samples and generate personalized speech that retains the speaker’s unique characteristics. Its 1.7 B parameter architecture balances performance with a low memory footprint, making it suitable for deployment on consumer‑grade hardware. Inference latency stays under 50 ms per utterance, enabling real‑time applications such as interactive assistants and live dubbing. The model has been optimized for multiple languages and prosodic styles, producing natural‑sounding output across a wide range of domains.
| Spec | Value |
|---|---|
| Parameter Count | 1.7 B |
| Sample Rate | 12 Hz (frame) |
| Training Data | 200 h multi‑speaker speech |
| Latency | <50 ms |
| Supported Languages | 20+ |
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