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Install Qwen3-TTS-12Hz-1.7B-CustomVoice Using Pinokio For Low VRAM (6GB/8GB)

Install Qwen3-TTS-12Hz-1.7B-CustomVoice Using Pinokio For Low VRAM (6GB/8GB)

Running this model locally is fastest when deployed through a PowerShell script.

Follow the sequence of steps detailed below.

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

The automated script takes care of everything, tailoring the setup to your specs.

💾 File hash: 0e88b13ff774a727c6bde5a1fa07686b (Update date: 2026-06-30)



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: required: 16 GB absolute minimum for small models
  • Disk: high-speed SSD 120 GB to cache model layers
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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