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

Make sure to follow the instructions below.

The loader auto-caches the model archive (several GBs included).

An automated hardware sweep ensures the system will select the best tuning parameters.

💾 File hash: a0dfe1e466ed00fbd5deb6d0a1068e57 (Update date: 2026-07-04) Verify Processor: next-gen chip for heavy context processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 100 GB for multi-modal model vision components GPU: modern architecture (Ada Lovelace / Ampere minimum)

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.

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