Centos7 部署 Stable Diffusion
参考：https://www.jianshu.com/p/ff81bb76158a
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 torchaudioii、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
参考文章：https://blog.csdn.net/weixin_57451673/article/details/133919472