StableDiffusion 服务器部署
0. 服务器
GPU A5000-24G 数量： 1 显存： 24 GB CPU AMD EPYC 7551P 核心： 8 核 实例内存： 63G 系统 Ubuntu20.04 验证是否有nvidia驱动
nvidia-smi 如果没有显示出显卡信息（如下）
+---------------------------------------------------------------------------------------+ | NVIDIA-SMI 530.30.02 Driver Version: 530.30.02 CUDA Version: 12.1 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 NVIDIA RTX A5000 On | 00000000:06:00.0 Off | Off | | 30% 33C P8 15W / 230W| 1MiB / 24564MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ 则需要参考ubuntu安装nvidia驱动
https://blog.csdn.net/Perfect886/article/details/119109380
1. 使用工具
远程连接服务器工具：VS Code
https://code.visualstudio.com/Download
文件传输工具 FileZilla
https://www.filezilla.cn/download
2. 装python环境
下载地址：https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
./Miniconda3-latest-Linux-x86_64.sh # 一路回车+yes 在.bashrc中添加以下内容
# >>> conda initialize >>> # !! Contents within this block are managed by 'conda init' !! __conda_setup="$('/usr/local/miniconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)" if [ $? -eq 0 ]; then eval "$__conda_setup" else if [ -f "/usr/local/miniconda3/etc/profile.d/conda.sh" ]; then . "/usr/local/miniconda3/etc/profile.d/conda.sh" else export PATH="/usr/local/miniconda3/bin:$PATH" fi fi unset __conda_setup # <<< conda initialize <<< # 根据自己的安装路径去修改 3. 设置Conda、PIP国内源
codnatouch .condarc # 如果有了就不用了 写入以下内容
channels: - defaults show_channel_urls: true auto_activate_base: true channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda default_channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r custom_channels: conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud mkdir .pip cd .pip touch pip.conf 写入以下内容
[global] index-url = https://pypi.tuna.tsinghua.edu.cn/simple 4. 设置git加速
该方案为使用镜像网站加速git代码的下载
git config --global url."https://hub.njuu.cf/".insteadOf https://github.com http://lib.zuotiyi.cn/tool/github.html # 从这里可以找其他镜像网站 注意，镜像网站可能存在滞后
5. 拉取代码
mkdir Project cd Project git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git cd stable-diffusion-webui 6. 创建python虚拟环境并下载依赖包
conda create -n sd python=3.11 -y conda activate sd # 优先安装torch会避免很多麻烦 pip install torch torchvision torchaudio pip install -r requirements.txt pip install xformers 可能遇到的问题
在执行的时候可能会卡在安装 basicsr 这里,可以尝试进行以下操作
# 1.下载 tb_nightly https://files.pythonhosted.org/packages/c0/1c/4d95416f1d9c8bab3d2c3271642084a9a93324a85b1b897ef44fb05ab734/tb_nightly-2.15.0a20230816-py3-none-any.whl # 2. 安装tb_nightly pip install tb_nightly-2.15.0a20230816-py3-none-any.whl # 3.拉取basicsr源码 git clone https://github.com/XPixelGroup/BasicSR.git # 4. 安装basicsr cd BasicSR pip install -r requirements.txt python setup.py install 单独安装完basicsr后再执行
pip install -r requirements.txt 出现 ImportError: libGL.so.1: cannot open shared object file: No such file or directory
apt install libgl1-mesa-glx 7. 修改webui.sh
使用现有conda环境而不是新建一个环境
在webui.sh中搜索 use_venv use_venv=1 (默认) -> use_venv=0 允许root用户运行
在webui.sh中搜索 can_run_as_root can_run_as_root=0 (默认) -> can_run_as_root=1 8. 修改 paths_internal.py
# stable-diffusion-webui/modules/paths_internal.py # 搜索 commandline_args # 将 commandline_args = os.environ.get('COMMANDLINE_ARGS', "") # 改为 commandline_args = os.environ.get('COMMANDLINE_ARGS', "--xformers") 9. 安装TCMalloc
sudo apt-get install google-perftools 10. 下载一个模型到指定路径
https://civitai.com/api/download/models/130312 将下载到的模型放入stable-diffusion-webui/models/Stable-diffusion # 模型网站 https://civitai.com/ https://huggingface.co/ 11. 运行webui.sh
./webui.sh 正常启动后，你就能看到vs code贴心的帮你转发了127.0.0.1:7860，通过vs code点击这个链接，你就能看到SD的页面了
完成以上操作就可以给自己用了
好了，可以Ctrl+c关掉程序了
下面的操作是用来给别人用的
12. 修改 webui.py
# webui.py中搜索 api.launch # 将 api.launch( server_name="0.0.0.0" if cmd_opts.listen else "127.0.0.1", port=cmd_opts.port if cmd_opts.port else 7861, root_path=f"/{cmd_opts.subpath}" if cmd_opts.subpath else "" ) # 修改为 api.launch( server_name="127.0.0.1", port=18101, # 自己选一个端口 root_path="/StableDiffusion/Web" ) # webui.py中搜索 shared.demo.launch # 将 app, local_url, share_url = shared.demo.launch( share=cmd_opts.share, server_name=server_name, server_port=cmd_opts.port, ssl_keyfile=cmd_opts.tls_keyfile, ssl_certfile=cmd_opts.tls_certfile, ssl_verify=cmd_opts.disable_tls_verify, debug=cmd_opts.gradio_debug, auth=gradio_auth_creds, inbrowser=cmd_opts.autolaunch and os.getenv('SD_WEBUI_RESTARTING') != '1', prevent_thread_lock=True, allowed_paths=cmd_opts.gradio_allowed_path, app_kwargs={ "docs_url": "/docs", "redoc_url": "/redoc", }, root_path=f"/{cmd_opts.subpath}" if cmd_opts.subpath else "", ) # 修改为 app, local_url, share_url = shared.demo.launch( share=cmd_opts.share, server_name="127.0.0.1", server_port=18101, ssl_keyfile=cmd_opts.tls_keyfile, ssl_certfile=cmd_opts.tls_certfile, ssl_verify=cmd_opts.disable_tls_verify, debug=cmd_opts.gradio_debug, auth=gradio_auth_creds, inbrowser=cmd_opts.autolaunch and os.getenv('SD_WEBUI_RESTARTING') != '1', prevent_thread_lock=True, allowed_paths=cmd_opts.gradio_allowed_path, app_kwargs={ "docs_url": "/docs", "redoc_url": "/redoc", }, root_path="/StableDiffusion/Web", ) 13. 安装Nginx
sudo apt install nginx -y nginx 14. 设置Nginx转发
把配置文件软链到自己目录下好修改
cd ~ ln -s /etc/nginx/ Nginx # 打开Nginx下的nginx.conf # 搜索 include /etc/nginx/sites-enabled/*; # 在这行下添加 include /etc/nginx/myHost/*.conf; mkdir myHost cd myHost touch StableDiffusion.conf # 在StableDiffusion.conf中写入如下内容 server { listen 8080; server_name example.com www.example.com; # Change this to your domain name location /StableDiffusion/Web/ { # Change this if you'd like to server your Gradio app on a different path proxy_pass http://127.0.0.1:18101/; # Change this if your Gradio app will be running on a different port proxy_redirect off; proxy_http_version 1.1; proxy_set_header Upgrade $http_upgrade; proxy_set_header Connection "upgrade"; proxy_set_header Host $host; } } # 验证配置是否正确 nginx -t # 重启nginx nginx -s reload 15. 后台启动webui
nohup webui.sh & 
