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Deploy Qwen3-TTS-12Hz-1.7B-CustomVoice Locally (No Cloud) Uncensored Edition No-Code Guide

Deploy Qwen3-TTS-12Hz-1.7B-CustomVoice Locally (No Cloud) Uncensored Edition No-Code Guide

If you want the fastest local installation for this model, use Docker.

Follow the step-by-step instructions below.

Finishing these instructions ensures you instantly get all the exact results you wanted to receive.

📦 Hash-sum → da919e81d9bde14ac5f2dfa81b3a3f7a | 📌 Updated on 2026-06-22



  • Processor: next-gen chip for heavy context processing
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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