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登录AutoDL,租赁镜像
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选择镜像:
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```
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PyTorch / 2.1.0 / 3.10(ubuntu22.04) / cuda 12.1
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```
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机器开机后,设置学术加速
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```
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source /etc/network_turbo
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```
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进入工作目录
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```
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cd autodl-tmp/
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```
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拉取项目
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```
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git clone https://gitclone.com/github.com/fishaudio/fish-speech.git ; cd fish-speech
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```
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安装依赖
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```
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pip install -e.
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```
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如果报错,安装portaudio
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```
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apt-get install portaudio19-dev -y
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```
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安装后执行
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```
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pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu121
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```
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下载模型
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```
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cd tools
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python download_models.py
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```
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下载完模型后运行接口
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```
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python -m tools.api_server --listen 0.0.0.0:6006
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```
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然后用浏览器去到aotodl实例页面
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```
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https://autodl.com/console/instance/list
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```
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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
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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
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如果你是单模块部署,核心配置如下
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```
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selected_module:
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TTS: FishSpeech
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TTS:
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FishSpeech:
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reference_audio: ["config/assets/wakeup_words.wav",]
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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",]
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api_key: "123"
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api_url: "http://127.0.0.1:6006/v1/tts"
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```
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然后重启服务
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