How to Install Qwen3-TTS-12Hz-1.7B-CustomVoice on AMD/Nvidia GPU One-Click Setup Offline Setup Windows

Deploying locally takes the least amount of time when executed through native OS tools.

Just follow the guidelines provided below.

1-click setup: the app automatically fetches the large weight files.

The script runs a quick hardware check to dynamically adjust parameters for elite speed.

🗂 Hash: d52731e0add23bfc06579bafc26e6a4e • Last Updated: 2026-06-28
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  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk: high-speed SSD 120 GB to cache model layers
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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