If you want the fastest local installation for this model, use standard pip packages.
Execute the commands and steps outlined below.
The setup auto-downloads all needed files (several GBs).
During setup, the script automatically determines and applies the best settings.
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+ |
- Setup script downloading pre-trained LoRA adapter weights locally
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- Installer deploying local fabric engine with pre-installed AI prompts
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- Installer configuring local guardrail models for filtering bad responses
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- Script downloading custom voice training checkpoints for local tortoise-tts
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- Script downloading user-trained voice checkpoints for tortoise-tts local server networks
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- Setup tool initializing prefix-caching parameters inside production-tier vLLM clusters
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