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系统#xff1a;Ubuntu 20.04 64位
内存#xff1a;32G
环境安装
2.1 安装GPU驱动
在英伟达官网根据显卡型号、操作系统、CUDA等查询驱动版本。官网查询链接https://www.nvidia.com/Download/index.aspx?langen-us 注意这里的CUDA版本#xff0c;如未安装CUD…本文环境
系统Ubuntu 20.04 64位
内存32G
环境安装
2.1 安装GPU驱动
在英伟达官网根据显卡型号、操作系统、CUDA等查询驱动版本。官网查询链接https://www.nvidia.com/Download/index.aspx?langen-us 注意这里的CUDA版本如未安装CUDA可以先选择一个版本稍后再安装CUDA. 点击Search 如上图查询到合适的版本为510. 然后可以使用apt安装对应驱动版本使用apt安装更方便一些。
# 安装510版本驱动
sudo apt install nvidia-driver-510
# 查看驱动信息
nvidia-smi 当然你也可以使用官网下载的run文件进行安装
sudo chmod x NVIDIA-Linux-x86_64-510.108.03.run
安装
sudo ./NVIDIA-Linux-x86_64-510.108.03.run
安装步骤操作之后就可以完成安装了
输入nvidia-smi查看显卡
chenchen:~$ nvidia-smi
Sat Jun 22 08:50:27 2024
-----------------------------------------------------------------------------
| NVIDIA-SMI 510.39.01 Driver Version: 510.39.01 CUDA Version: 11.6 |
|---------------------------------------------------------------------------
| 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 Tesla M40 On | 00000000:01:00.0 Off | 0 |
| N/A 53C P8 17W / 250W | 3MiB / 11520MiB | 0% Default |
| | | N/A |
--------------------------------------------------------------------------------------------------------------------------------------------------------
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
||
| No running processes found |
-----------------------------------------------------------------------------安装CUDA
访问英伟达开发者网站先选择CUDA版本版本要对应2.1中GPU驱动支持的CUDA版本再根据操作系统选择对应CUDA安装命令访问链接https://developer.nvidia.com/cuda-toolkit-archive 如上面安装确定所选择驱动对应的CUDA版本为11.6根据安装命令安装, 以下命令适用Ubuntu 20.04 x86_64, GPU驱动510版本
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.6.2/local_installers/cuda-repo-ubuntu2004-11-6-local_11.6.2-510.47.03-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu2004-11-6-local_11.6.2-510.47.03-1_amd64.deb
sudo apt-key add /var/cuda-repo-ubuntu2004-11-6-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda2.3 安装Python 3.10
Stable Diffusion WebUI目前最低支持Python 3.10所以直接安装3.10版本安装命令 apt install software-properties-commonadd-apt-repository ppa:deadsnakes/ppaapt updateapt install python3.10python3.10 --verisonPIP设置国内源由于默认源在国外所以安装可能经常会出现timeout等问题使用国内源可以很大程度避免下载包timeout的情况。将如下内容复制到文件~/.pip/pip.conf当中如没有该文件先创建touch ~/.pip/pip.conf。 [global] index-url https://pypi.tuna.tsinghua.edu.cn/simple[install]trusted-host https://pypi.tuna.tsinghua.edu.cn
但是有一种比较推荐的方法就是使用 Anaconda 安装Anaconda
非常推荐使用Anaconda。Anaconda可以便捷获取包且对包能够进行管理同时对Python环境可以统一管理的发行版本。安装命令也很简单 wget https://repo.anaconda.com/archive/Anaconda3-5.3.1-Linux-x86_64.shbash ./Anaconda3-5.3.1-Linux-x86_64.sh安装步骤安装Anaconda最后一部选择是否要安装vscode可以选N
建Python3.10.9环境并使用该环境 conda create -n python3.10.9 python3.10.9conda activate python3.10.92.5 安装PyTorch
首先在PyTorch官网查询对应CUDA版本的Torch如上述章节2.2中CUDA 11.6需要安装pytorch1.13.1
# 使用conda安装两种安装方式二选一
conda install pytorch1.13.1 torchvision0.14.1 torchaudio0.13.1 pytorch-cuda11.6 -c pytorch -c nvidia# 使用pip安装两种安装方式二选一
pip install torch1.13.1cu116 torchvision0.14.1cu116 torchaudio0.13.1 --extra-index-url https://download.pytorch.org/whl/cu116我是使用pip安装的 三、部署Stable Diffusion WebUI
3.1 下载stable-diffusion-webui
注意首先激活Python3.10环境
conda activate python3.10.9然后下载stable-diffusion-webui
sudo git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git如果遇到项目clone不下来可以使用我下面的加速地址
sudo git clone https://github.moeyy.xyz/https://github.com/AUTOMATIC1111/stable-diffusion-webui.git 安装依赖
cd到stable-diffusion-webui目录安装相应的依赖如有访问网络超时、失败等注意按照章节2.3中设置国内源如果再次失败重试几次一般都可完成安装。
cd stable-diffusion-webui
pip install -r requirements_versions.txt
pip install -r requirements.txt启动stable-diffusion-webui
安装完成后执行如下启动命令
python launch.py --listen --enable-insecure-extension-access这一步骤会下载一些常用模型如果遇到下载失败根据报错提示在huggingface.co下载模型放到对应目录如下载stable-diffusion-v1-5模型搜索找到https://huggingface.co/runwayml/stable-diffusion-v1-5/tree/main
每次启动都需要输入一长串命令比较麻烦可以写一个shell
sudo vim start.sh
里面输入
sudo /home/chen/anaconda3/envs/python3.10.9/bin/python launch.py --listen --enable-insecure-extension-access/home/chen是当前我的用户目录anaconda3创建的虚拟环境是python3.10.9 就写这个python路径anaconda3/envs/python3.10.9
sudo chmod x start.sh
启动项目
chenchen:/data/stable-diffusion-webui$ ./start.sh
[sudo] password for chen:
Sorry, try again.
[sudo] password for chen:
Python 3.10.9 (main, Mar 8 2023, 10:47:38) [GCC 11.2.0]
Version: v1.9.4
Commit hash: feee37d75f1b168768014e4634dcb156ee649c05
Launching Web UI with arguments: --listen --enable-insecure-extension-access
no module xformers. Processing without...
No SDP backend available, likely because you are running in pytorch versions 2.0. In fact, you are using PyTorch 1.13.1cu116. You might want to consider upgrading.
no module xformers. Processing without...
No module xformers. Proceeding without it.You are running torch 1.13.1cu116.
The program is tested to work with torch 2.1.2.
To reinstall the desired version, run with commandline flag --reinstall-torch.
Beware that this will cause a lot of large files to be downloaded, as well as
there are reports of issues with training tab on the latest version.Use --skip-version-check commandline argument to disable this check.Loading weights [63d370e256] from /data/stable-diffusion-webui/models/Stable-diffusion/a31_style.safetensors
Running on local URL: http://0.0.0.0:7860To create a public link, set shareTrue in launch().
Startup time: 14.5s (prepare environment: 2.3s, import torch: 4.9s, import gradio: 1.3s, setup paths: 1.3s, initialize shared: 0.3s, other imports: 1.3s, list SD models: 0.2s, load scripts: 1.5s, create ui: 0.8s, gradio launch: 0.6s).
Creating model from config: /data/stable-diffusion-webui/configs/v1-inference.yaml
/home/chen/anaconda3/envs/python3.10.9/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_downloadTrue.warnings.warn(访问服务器ip:7860
随便画一张图试试
