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qwen3-tts

Clone and design voices for text-to-speech using an autoregressive language model.

Updated Jun 4, 2026
Search Tags:#voice cloning#custom voice#text to speech#voice design#AI generated voice
One-click install
npx skills add https://github.com/kngender5/hermes --skill qwen3-tts-kngender5
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qwen3-tts
Source: https://github.com/kngender5/hermes/tree/main/skills/mlops/qwen3-tts
Command: npx skills add https://github.com/kngender5/hermes --skill qwen3-tts-kngender5

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires torch, torch cuda, qwen-tts, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill offers a comprehensive solution for voice cloning, voice design, and text-to-speech with high-quality, customized voices.

Core Features & Use Cases

  • Voice Clone: Clone voices from reference audio with fine-grained control.
  • Voice Design: Create new voices from natural language descriptions.
  • Text-to-Speech: Convert text into high-quality speech with various languages and voice styles.
  • Use Case: Need a custom voice for your application? This Skill can design a voice from scratch, clone an existing one, and generate speech from text.

Quick Start

To clone a voice, use the qwen3-tts skill with the --model and --ref-audio flags.

Frequently Asked Questions about qwen3-tts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I clone a voice from reference audio for text to speech?▼

Voice cloning from reference audio is done using an autoregressive token-based language model. You provide a reference audio file and text input to generate high-quality speech that matches the cloned voice characteristics with fine-grained control.

Can I design a custom AI generated voice from a text description?▼

Yes, custom voice design creates new AI generated voices from natural language descriptions. Instead of cloning existing audio, you describe the desired voice characteristics in text, and the autoregressive token language model synthesizes a matching voice profile.

Do I need PyTorch and CUDA to run text to speech with an autoregressive language model?▼

Yes, PyTorch with CUDA support is required to run this text to speech skill. The autoregressive token-based language model depends on GPU acceleration provided by CUDA to process voice cloning and custom voice generation efficiently.

What is the best way to generate custom speech for media production?▼

The best way to generate custom speech for media production is using an autoregressive token-based language model. It converts text into high-quality speech with various voice styles and supports multiple languages, making it suitable for audio content and media applications.

Does voice cloning with a 1.7B language model work for voice assistant systems?▼

Voice cloning with a 1.7B autoregressive language model works for voice assistant systems by generating customized speech from text. The model produces high-quality audio output that can be integrated into voice assistant applications requiring natural-sounding cloned voices.

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