Using a native PowerShell script is the absolute quickest way to install this model.
Check out the detailed setup guide below to begin.
The process automatically pulls down gigabytes of critical model assets.
The configuration wizard runs silently to set up the model for peak performance.
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📄 Hash Value:
e0d6f530fc7be785d970c17948be7c45 | 📆 Update: 2026-06-28
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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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