Qwen3-TTS-WebUI

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Qwen3-TTS-WebUI

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Convenient management and use of Qwen3-TTS

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# Qwen TTS Deployment Guide | Qwen TTS 部署指南

This repository provides instructions for deploying and running **Qwen3 Text-to-Speech (TTS)** services.  
本项目用于部署和运行 **Qwen3 文本转语音（TTS）** 服务，支持本地 Conda 环境与 Docker 两种部署方式。

---

## Table of Contents | 目录

---

## Requirements | 环境要求

- OS：Windows（Docker 部署可跨平台）
- Python：3.12
- CUDA：12.4（GPU 推理需要）
- Conda（Anaconda / Miniconda）
- NVIDIA Driver correctly installed

---

## Initial Setup | 初次创建环境

### Create Python 3.12 Conda Environment  
### 创建 Python 3.12 隔离环境

```bash
conda create -n qwen-tts python=3.12 -y
```

### Activate Environment  
### 激活环境

```bash
conda activate qwen-tts
```

---

## Dependency Installation | 安装依赖

### Install PyTorch (CUDA 12.4)

```bash
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124
```

### Install Qwen TTS Core Library  
### 安装 Qwen TTS 官方核心库

```bash
pip install -U qwen-tts
```

### Install Web Service & Audio Dependencies  
### 安装 Web 服务与音频处理组件

```bash
pip install fastapi uvicorn jinja2 python-multipart soundfile
```

---

## SoX Installation (Windows) | 安装 SoX（Windows）

SoX is required for audio processing during TTS inference.  
SoX 是 TTS 推理所需的音频处理工具。

### Download | 下载

Official website 官方地址：  
https://sourceforge.net/projects/sox/files/sox/

Download `win32.exe` installer.  
下载 `win32.exe` 安装包。

### Install | 安装

Recommended installation path:  
建议安装路径：

```
C:\sox
```

### Environment Variable | 环境变量配置

1. Right-click **This PC** → **Properties**  
2. Advanced system settings → Environment Variables  
3. Add the following path to `Path` (System Variables)

```
C:\sox
```

### Verify Installation | 验证安装

Restart terminal and run:

```bash
sox --version
```

If the version is displayed, installation is successful.  
若显示版本号，则表示安装成功。

---

## Model Download | 下载模型

### Install ModelScope

```bash
pip install modelscope
```

### Download Qwen TTS Models  
### 下载 Qwen TTS 模型

```bash
modelscope download   --model Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice   --local_dir ./Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice

modelscope download   --model Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign   --local_dir ./Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign

modelscope download   --model Qwen/Qwen3-TTS-12Hz-1.7B-Base   --local_dir ./Qwen/Qwen3-TTS-12Hz-1.7B-Base
```

---

## Run & Stop | 启动与停止

### Start Service | 启动服务

```bash
conda activate qwen-tts
python main.py
```

### Exit Conda Environment | 退出环境

```bash
conda deactivate
```

---

## Docker Deployment | Docker 构建方式

If you prefer containerized deployment, use Docker Compose.  
如果你希望使用容器化部署，可使用 Docker Compose。

### Build & Run

```bash
docker-compose up -d --build
```

---

## Notes | 说明

- This guide assumes basic knowledge of Conda and Docker.  
  本文档默认你具备 Conda 与 Docker 的基础使用经验。
- For GPU Docker usage, ensure `nvidia-container-toolkit` is installed.  
  使用 GPU Docker 请确保已安装 `nvidia-container-toolkit`。
- Model files are large; initial download may take time.  
  模型体积较大，首次下载耗时较长，请耐心等待。

---

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