Centos7 部署 Stable Diffusion

参考：https://www.jianshu.com/p/ff81bb76158a

一、安装最新版 git

yum install libcurl-devel curl-devel -y

# 安装依赖库 yum -y install zlib-devel perl-ExtUtils-MakeMaker asciidoc xmlto openssl-devel curl-devel libcurl-devel # 下载安装包 wget https://www.kernel.org/pub/software/scm/git/git-2.42.0.tar.xz --no-check-certificate # 解压安装包，进入目录 tar -vxf git-2.42.0.tar.xz cd git-2.40.0 # 编译、安装 ./configure make -j4 && make -j4 install # 查看是否安装成功 git --version 

二、其余步骤：详看参考链接

遇到的问题：

1、git clone 比较慢

解决办法：设置代理 https://blog.csdn.net/dszgf5717/article/details/130735389

2、pip install 比较慢

解决办法：更换源或设置代理 https://blog.csdn.net/dszgf5717/article/details/53138298

3、无法使用GPU

Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check

解决办法：一般是 pytorch 装的版本不对，重装

i、先卸载原来的

pip uninstall torch torchvision torchaudio

ii、安装与显卡相匹配的版本

pytorch 官网 https://pytorch.org/get-started/locally/

参考文章：https://blog.csdn.net/weixin_41803482/article/details/109231249

4、运行报错

OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer. 

解决办法：

手动下载 https://huggingface.co/openai/clip-vit-large-patch14/tree/main 下载文件为： 1、config.json 2、flax_model.msgpack 3、merges.txt 4、preprocessor_config.json 5、pytorch_model.bin 6、special_tokens_map.json 7、tokenizer.json 8、tokenizer_config.json 9、vocab.json 在项目目录下创建（stable-diffusion-webui） mkdir -p openai/clip-vit-large-patch14 把以上九个文件放到新文件夹下 

5、运行报错

# 报错1 ImportError: libX11.so.6: cannot open shared object file: No such file or directory # 报错2 ImportError: libXext.so.6: cannot open shared object file: No such file or directory

解决办法：

yum install libX11 libXext -y

6、运行报错

Cannot locate TCMalloc (improves CPU memory usage)

解决办法：

yum install gperftools gperftools-devel -y

参考文章：https://blog.csdn.net/weixin_57451673/article/details/133919472