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1 week ago
登录AutoDL租赁镜像
选择镜像:
```
PyTorch / 2.1.0 / 3.10(ubuntu22.04) / cuda 12.1
```
机器开机后,设置学术加速
```
source /etc/network_turbo
```
进入工作目录
```
cd autodl-tmp/
```
拉取项目
```
git clone https://gitclone.com/github.com/fishaudio/fish-speech.git ; cd fish-speech
```
安装依赖
```
pip install -e.
```
如果报错安装portaudio
```
apt-get install portaudio19-dev -y
```
安装后执行
```
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu121
```
下载模型
```
cd tools
python download_models.py
```
下载完模型后运行接口
```
python -m tools.api_server --listen 0.0.0.0:6006
```
然后用浏览器去到aotodl实例页面
```
https://autodl.com/console/instance/list
```
如下图点击你刚才机器的`自定义服务`按钮,开启端口转发服务
![自定义服务](images/fishspeech/autodl-01.png)
端口转发服务设置完成后,你本地电脑打开网址`http://localhost:6006/`就可以访问fish-speech的接口了
![服务预览](images/fishspeech/autodl-02.png)
如果你是单模块部署,核心配置如下
```
selected_module:
TTS: FishSpeech
TTS:
FishSpeech:
reference_audio: ["config/assets/wakeup_words.wav",]
reference_text: ["哈啰啊,我是小智啦,声音好听的台湾女孩一枚,超开心认识你耶,最近在忙啥,别忘了给我来点有趣的料哦,我超爱听八卦的啦",]
api_key: "123"
api_url: "http://127.0.0.1:6006/v1/tts"
```
然后重启服务