#4343rd of 51 in VoiceFor voice, speech and music

qwen3-tts

Open-weight multilingual text-to-speech models with voice cloning and voice design

Stars
13.9k
License
Apache-2.0
Last commit
Mar 2026
Language
Python

Missed the latest GitHub check; these facts may be older.

Overview

Qwen3-TTS is a family of 0.6B and 1.7B text-to-speech models from Qwen, with a Python package (qwen-tts) for custom-voice, voice-design and voice-clone generation. It covers 10 languages, supports streaming with a stated end-to-end latency as low as 97ms, and clones a voice from a 3-second reference clip. The repo also has a local web UI demo, vLLM usage notes and fine-tuning instructions.

Who it is for: Developers adding self-hosted TTS, voice cloning or voice design to apps

Strengths

  • Three modes in one family: preset speakers, text-described voices, and 3-second voice cloning
  • Covers 10 languages plus dialect voices such as Beijing and Sichuan Chinese
  • Streaming and non-streaming from one model; README cites 97ms end-to-end latency
  • Apache-2.0 weights on Hugging Face and ModelScope, with fine-tuning and vLLM docs

Weaknesses

  • Examples assume a CUDA GPU; CPU-only use is not documented in the README
  • Instruction control is only listed for the 1.7B CustomVoice and VoiceDesign models
  • Only 9 preset speakers in the CustomVoice models
  • No Docker image or release tags; install is via pip in a Python 3.12 environment

What it needs

  • GPU required
  • Needs PyTorch, FlashAttention 2 (recommended), Hugging Face Transformers, soundfile
  • Models: Qwen3-TTS-12Hz-1.7B-VoiceDesign, Qwen3-TTS-12Hz-1.7B-CustomVoice, Qwen3-TTS-12Hz-1.7B-Base, Qwen3-TTS-12Hz-0.6B-CustomVoice, Qwen3-TTS-12Hz-0.6B-Base
  • port 8000

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