第三十九篇-TeslaP40+CosyVoice-安装

环境

系统：CentOS-7
CPU: 14C28T
内存：32G
显卡：Tesla P40 24G
驱动: 535
CUDA: 12.2

克隆

git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git
cd CosyVoicegit submodule update --init --recursive

下载 Matcha-TTS

cd third_party
git clone https://hub.nuaa.cf/shivammehta25/Matcha-TTS.git

创建环境

conda create -n cv python=3.8
conda activate cv

安装依赖

cd .. CosyVoice目录
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

安装软件

sudo yum install sox sox-devel -y

git模型下载，请确保已安装git lfs

mkdir -p pretrained_models
git clone https://www.modelscope.cn/iic/CosyVoice-300M.git pretrained_models/CosyVoice-300M
git clone https://www.modelscope.cn/iic/CosyVoice-300M-SFT.git pretrained_models/CosyVoice-300M-SFT
git clone https://www.modelscope.cn/iic/CosyVoice-300M-Instruct.git pretrained_models/CosyVoice-300M-Instruct
git clone https://www.modelscope.cn/iic/CosyVoice-ttsfrd.git pretrained_models/CosyVoice-ttsfrd

可以先下载CosyVoice-300M-Instruct与CosyVoice-ttsfrd

安装CosyVoice-ttsfrd

cd pretrained_models/CosyVoice-ttsfrd/
unzip resource.zip -d .
pip install ttsfrd-0.3.6-cp38-cp38-linux_x86_64.whl

启动

export PYTHONPATH=third_party/Matcha-TTS
python3 webui.py --port 50000 --model_dir pretrained_models/CosyVoice-300M-Instruct

访问

http://192.168.31.111:50000/

以上文本，在P40中大概20秒生成，GPU显存消耗 2126MiB GPU 90%~100%

参考

https://www.bilibili.com/video/BV1BE421A7CG
https://hub.nuaa.cf/FunAudioLLM/CosyVoice