Qwen3 TTS 12Hz 0.6B CustomVoice

提供商Qwen
分类text-to-speech
许可证apache-2.0
下载量62.2K
星标20

简介

Qwen3 TTS 12Hz 0.6B 是一款由通义千问团队推出的轻量级语音合成模型。它主打极低的任务延迟和高效的推理速度，0.6B 的小参数量使其能够轻松部署在端侧设备或低配服务器上。该模型支持自定义声音（CustomVoice），能够通过少量样本快速克隆特定音色，在保持自然语调的同时，解决了传统 TTS 模型响应慢、资源占用高的问题。对于需要快速迭代语音交互产品、或希望在本地实现低延迟语音播报的开发者来说，这是一个极具性价比的选择。

核心亮点

  • 0.6B 轻量化参数，支持低功耗端侧部署
  • 极低推理延迟，满足实时语音交互需求
  • 支持 CustomVoice 快速定制个性化音色
  • 采用 Apache-2.0 协议，商业化集成门槛低

使用方法

安装依赖
# 安装 Hugging Face transformers
pip install transformers torch
SDK 使用
# 使用 transformers 加载模型
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice")

Hugging Face 下载

我们推荐使用命令行或者 Hugging Face Hub SDK 来进行模型的下载。

操作指引：在下载前，请先通过如下命令安装 huggingface_hub：

操作指引 
pip install -U huggingface_hub

命令行下载

下载完整模型库

下载完整模型库 
huggingface-cli download Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice

下载单个文件到指定本地文件夹（以下载 config.json 到当前路径下 ./dir 目录为例）

下载单个文件到指定本地文件夹（以下载 config.json 到当前路径下 ./dir 目录为例） 
huggingface-cli download Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice config.json --local-dir ./dir

更多命令行下载选项，可参见官方文档

SDK 下载

SDK 下载 
# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice')

Git 下载

请确保 lfs 已经被正确安装

Git 下载 
git lfs install
git clone https://huggingface.co/Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice

如果您希望跳过 lfs 大文件下载，可以使用如下命令

跳过 LFS 
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice

模型文件托管在 Hugging Face Hub，使用 HF CLI / SDK / Git 直接下载，不经过本站。

PyTorch / Transformers 使用

安装 Transformers

安装 Transformers 
pip install -U transformers torch

模型加载和推理

模型加载和推理 
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice')
tokenizer = AutoTokenizer.from_pretrained('Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice')

模型下载

我们推荐使用命令行或者 ModelScope SDK 来进行模型的下载。

操作指引：在下载前，请先通过如下命令安装 ModelScope：

操作指引 
pip install modelscope

命令行下载

下载完整模型库

下载完整模型库 
modelscope download --model Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice

下载单个文件到指定本地文件夹（以下载 README.md 到当前路径下 dir 目录为例）

下载单个文件到指定本地文件夹（以下载 README.md 到当前路径下 dir 目录为例） 
modelscope download --model Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice README.md --local_dir ./dir

更多更丰富的命令行下载选项，可参见具体文档

SDK 下载

SDK 下载 
# 模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice')

Git 下载

请确保 lfs 已经被正确安装

Git 下载 
git lfs install
git clone https://www.modelscope.cn/Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice.git

如果您希望跳过 lfs 大文件下载，可以使用如下命令

跳过 LFS 
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice.git

ModelScope 模型页直接下载模型文件；无需将模型文件放在本站服务器。

Notebook 快速开发

下载并安装 ModelScope library

下载并安装 ModelScope library 
pip install "modelscope[audio,cv,nlp,multi-modal,science]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html

模型加载和推理

模型加载和推理 
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks

p = pipeline('text-generation', 'Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice')

完整文档

来源: HuggingFace

---
license: apache-2.0
pipeline_tag: text-to-speech
language:

  • zh

  • en

  • ja

  • ko

  • de

  • fr

  • ru

  • pt

  • es

  • it

tags:
  • tts

  • qwen

  • audio

arxiv: 2601.15621
---

Qwen3-TTS-12Hz-0.6B-CustomVoice

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.

Key Features

  • Multilingual Synthesis: Supports Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian.
  • Intelligent Control: Adapts tone, rhythm, and emotional expression based on natural language instructions (e.g., "Speak in a very happy tone").
  • Low Latency: Optimized for streaming generation with the Qwen3-TTS-Tokenizer-12Hz, achieving end-to-end synthesis latency as low as 97ms.

Quickstart

To use Qwen3-TTS, you can install the qwen-tts package:

bash
pip install -U qwen-tts

Sample Usage

python
import torch
import soundfile as sf
from qwen_tts import Qwen3TTSModel

Load the model

model = 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 instructions

wavs, 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 audio

sf.write("output_custom_voice.wav", wavs[0], sr)

Supported Speakers

For Qwen3-TTS-12Hz-0.6B-CustomVoice, the following speakers are supported. We recommend using each speaker’s native language for the best results:

| Speaker | Voice Description | Native Language |
| --- | --- | --- |
| Vivian | Bright young female voice. | Chinese |
| Serena | Warm, gentle young female voice. | Chinese |
| Uncle_Fu | Seasoned male voice, mellow timbre. | Chinese |
| Dylan | Youthful Beijing male voice. | Chinese (Beijing) |
| Eric | Lively Chengdu male voice. | Chinese (Sichuan) |
| Ryan | Dynamic male voice with rhythm. | English |
| Aiden | Sunny American male voice. | English |
| Ono_Anna | Playful Japanese female voice. | Japanese |
| Sohee | Warm Korean female voice. | Korean |

Citation

If you find Qwen3-TTS useful for your research, please consider citing:
bibtex
@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}
}
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