If you need a near-instant local setup, just fetch files via a basic curl request.

Execute the commands and steps outlined below.

The tool automatically synchronizes and downloads the model database.

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

🧾 Hash-sum — 630f7d16f0fa63a211fbb5397ff9f605 • 🗓 Updated on: 2026-06-26 Verify Processor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Disk: 150+ GB for high-context vector database storage 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.

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https://tomography.cl/category/tools/