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Cataloged from Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice
All models by Qwen →Qwen3-TTS is a series of advanced multilingual, controllable, robust, and streaming text-to-speech models developed by the Qwen team.
This specific checkpoint is the 0.6B CustomVoice variant, based on the 12Hz tokenizer. It supports 9 premium timbres and allows for fine-grained style control over target voices via natural language instructions across 10 major languages.
To use Qwen3-TTS, you can install the qwen-tts package:
For Qwen3-TTS-12Hz-0.6B-CustomVoice, the following speakers are supported. We recommend using each speaker’s native language for the best results:
If you find Qwen3-TTS useful for your research, please consider citing:
pip install -U qwen-ttsimport torchimport soundfile as sffrom qwen_tts import Qwen3TTSModel
# Load the modelmodel = Qwen3TTSModel.from_pretrained( "Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice", device_map="cuda:0", dtype=torch.bfloat16, attn_implementation="flash_attention_2",)
# Generate speech with specific instructionswavs, sr = model.generate_custom_voice( text="其实我真的有发现，我是一个特别善于观察别人情绪的人。", language="Chinese", speaker="Vivian", instruct="用特别愤怒的语气说", )
# Save the generated audiosf.write("output_custom_voice.wav", wavs[0], sr)@article{Qwen3-TTS, title={Qwen3-TTS Technical Report}, author={Hangrui Hu and Xinfa Zhu and Ting He and Dake Guo and Bin Zhang and Xiong Wang and Zhifang Guo and Ziyue Jiang and Hongkun Hao and Zishan Guo and Xinyu Zhang and Pei Zhang and Baosong Yang and Jin Xu and Jingren Zhou and Junyang Lin}, journal={arXiv preprint arXiv:2601.15621}, year={2026}}