项目所需的Python版本+国内源+虚拟环境+用Conda创建环境
文章目录
- （一）Python
-
- （1.1）国内源
- （1.2）设置源（全局）
- （1.3）使用源（单次）
- （二）Python环境
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- （2.1）本机环境
- （2.2）【选项1】项目虚拟环境
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- （2.2.1）创建虚拟环境
- （2.2.2）安装项目依赖
- （2.3）【选项2】用Conda创建环境
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- （2.3.1）设置Conda的源
- （2.3.2）创建虚拟环境
- （三）实例1：Stable Diffusion WEB UI 不用启动器
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- （3.1）复用虚拟环境
- （3.2）修改启动配置
- （3.3）恢复使用启动器
- （四）实例2：安装使用Roop项目
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- （4.1）设置国内源
- （4.2）检查安装virtualenv
- （4.3）创建项虚拟环境
- （4.4）安装项目依赖
- （4.5）运行
（一）Python
我是完全不懂Python的。
但是有时也无奈需要写大段大段的Python代码。
虽然我完全没有让大蟒蛇入过门。
但最近接触到不少项目，图像，视频，人工智能，机器学习，大都是Python的开源项目。
（1.1）国内源
用Python少不了各种模块，绝大部分都是联网下载安装的。
因为从官方源下载特别的慢，所以我们得切换到国内源。
推荐：清华大学
或者：阿里云
想用其它的源道理也一样。
自己另外搜吧，华为云，中国科技大学。
但似乎没有上面两位同步得快，可能会报某个依赖的很新版本找不到……
设置使用方法如下：
（1.2）设置源（全局）
设置后每次都会用这个指定的源了。
咱天朝的环境建议全局设置吧。
注意地址是https噢，就是要那个s。
pip config set global.index-url {国内源地址}
（1.3）使用源（单次）
单条安装命令中带地址。
仅本条指令使用指定的源。
pip install {某个模块} - i {国内源地址}
（二）Python环境
下面方式三选一，准确说是【二选一】。
（2.1）本机环境
当然本机的意思也是包括当前用户。
你的Python装在哪儿的并加入了Path，那个环境就是本机环境。但是呢……
- 不同项目的依赖Python版本和模块版本极可能冲突，这也是Python麻烦的地方。
- 多个版本的Python在Path排前面的才被执行，切换起来很繁琐。
建议不要把啥依赖都装到本机环境中，简直是乱炖啊。
所以【直接用本机环境】这个选项请忽略掉，看下面两项。
（2.2）【选项1】项目虚拟环境
所以我们可以每个项目建立一个自己的虚拟环境，这样大家互不干扰。
这里【项目】的意思，呃……怎么说呢，就是你从远端git仓库拉下来的那个目录。
（2.2.1）创建虚拟环境
1）检查本机Python中有没有模块/指令
> virtualenv --version
如果有了就请跳过下面的安装。
没有的话安装呗。
> pip install virtualenv
2）创建项目的虚拟环境
假设我们要建立的项目虚拟环境目录名是venv（大家都是这么取名字的）。
那么进入项目根目录执行：
{项目目录}> virtualenv venv
然后一阵日志输出没报错的话，虚拟环境就建立好了。
以后就得记住，这个项目相关的内容，别直接打pip了，需要用项目的。
比如安装项目依赖：
（2.2.2）安装项目依赖
记得用虚拟环境的python命令，参数带-m的pip安装，或者直接-mpip。
{项目目录}> .\venv\Scripts\python.exe -mpip install -r requirements.txt
有时候文章里面没注意直接写pip install，就忽略了项目虚拟环境。
比如 分析解决【No module named ‘triton‘】的问题 这篇里面，写的时候忘了，其实都是用项目自己的虚拟环境。
（2.3）【选项2】用Conda创建环境
因为用久了 AnaConda 真的很容易变得很大，养猪嘛……
所以有人推荐用 MiniConda 来创建环境。
（2.3.1）设置Conda的源
和pip同理，设置一个国内的源，先检查源的情况：
(base) PS D:> conda config --show-sources
==> C:\Users\用户名\.condarc <==
channels:
- defaults
如果只有默认（defaults）就添加国内源（比如清华大学）
然后再检查一下是不是添加成功了：
(base) PS D:> conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
(base) PS D:> conda config --show-sources
==> C:\Users\用户名\.condarc <==
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- defaults
（2.3.2）创建虚拟环境
首次需要创建环境：
> conda create -n {环境名} python={版本号}
每次使用前，切换到（激活）项目所需的环境：
> conda activate {环境名}
切换后就可以正常安装依赖，使用项目了。
在Anaconda的终端CMD里面，可以直观的看到当前激活的是哪个环境。
({环境名}) C:\{项目目录}>python -m pip install ......
具体例子参考之前的文章提及Anaconda部分：简单介绍SimSwap（类似DeepFaceLab）单张图视频换脸的项目。
（三）实例1：Stable Diffusion WEB UI 不用启动器
我偷懒，所以下载了秋葉aaaki同学的整合包。
这时候我又想用原版的的方式启动SD WEB UI怎么办呢。
（3.1）复用虚拟环境
当然不是从头来，Python环境体积是很大的。
检查SDWEBUI的目录，发现用启动器的Python环境是在py310子目录中。
但是目录结构和前面用指令创建的虚拟环境目录不太一样。
这时候我们就不要再用venv名称了，就复用py310吧。
比较简单的是先创建venv环境但不用，把里面的东西拷到py310里面。
其实也就2个东西不同：
- 多出来个
pyvenv.cfg文件。 - 多出来个
Scripts子目录，放Python可执行文件等。
（3.2）修改启动配置
这部分其实和Python环境没什么关系，是项目自己的配置。
哦对了，修改.bat也是一个道理，但因为我用的是PowerShell而不是CMD。
所以我根据官方仓库说明里创建了webui.ps1。
以及webui-user.ps1并修改如下内容：
[Environment]::SetEnvironmentVariable("PYTHON", "C:\Users\Shion\AppData\Local\Programs\Python\Python310\python.exe")
[Environment]::SetEnvironmentVariable("GIT", "")
[Environment]::SetEnvironmentVariable("VENV_DIR", ".\py310")
# Commandline arguments for webui.py, for example: [Environment]::SetEnvironmentVariable("COMMANDLINE_ARGS", "--medvram --opt-split-attention")
[Environment]::SetEnvironmentVariable("COMMANDLINE_ARGS", "--theme dark --xformers --api --autolaunch")
......
因为本机有git所以不需要用项目自带的git。
然后用PowerShell运行webui-user.ps1就可以了：
因为加了--autolaunch参数所以浏览器页面也自动打开了：
（3.3）恢复使用启动器
- ⭐️ 把
py310目录里的pyvenv.cfg文件改成别的名字，启动器就又可用了。 - 恢复
pyvenv.cfg文件名则继续用脚本而不通过启动器。
（四）实例2：安装使用Roop项目
关于Roop项目完整版本请看这篇。这里仅演示环境部分。
（4.1）设置国内源
PowerShell 7.3.4
roop> pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/
Writing to C:\Users\Shion\AppData\Roaming\pip\pip.ini
（4.2）检查安装virtualenv
roop> virtualenv --version
virtualenv: The term 'virtualenv' is not recognized as a name of a cmdlet, function, script file, or executable program.
Check the spelling of the name, or if a path was included, verify that the path is correct and try again.
PS D:\Download\AIDrawPack\Roop\roop> pip install virtualenv
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
Collecting virtualenv
Downloading https://mirrors.aliyun.com/pypi/packages/f1/0a/18755fa6aec794fd539b050beeaa905fa5c77c64356aa8bdecb62c01581a/virtualenv-20.23.0-py3-none-any.whl (3.3 MB)
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Collecting filelock<4,>=3.11
Downloading https://mirrors.aliyun.com/pypi/packages/ad/73/b094a662ae05cdc4ec95bc54e434e307986a5de5960166b8161b7c1373ee/filelock-3.12.0-py3-none-any.whl (10 kB)
Collecting distlib<1,>=0.3.6
Downloading https://mirrors.aliyun.com/pypi/packages/76/cb/6bbd2b10170ed991cf64e8c8b85e01f2fb38f95d1bc77617569e0b0b26ac/distlib-0.3.6-py2.py3-none-any.whl (468 kB)
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Collecting platformdirs<4,>=3.2
Downloading https://mirrors.aliyun.com/pypi/packages/89/7e/c6ff9ddcf93b9b36c90d88111c4db354afab7f9a58c7ac3257fa717f1268/platformdirs-3.5.1-py3-none-any.whl (15 kB)
Installing collected packages: distlib, platformdirs, filelock, virtualenv
Successfully installed distlib-0.3.6 filelock-3.12.0 platformdirs-3.5.1 virtualenv-20.23.0
（4.3）创建项虚拟环境
roop> virtualenv venv
created virtual environment CPython3.10.11.final.0-64 in 1582ms
creator CPython3Windows(dest=D:\Download\AIDrawPack\Roop\roop\venv, clear=False, no_vcs_ignore=False, global=False)
seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=C:\Users\Shion\AppData\Local\pypa\virtualenv)
added seed packages: pip==23.1.2, setuptools==67.7.2, wheel==0.40.0
activators BashActivator,BatchActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator
（4.4）安装项目依赖
好像太长了，管它的先全部贴出来。
后面还有一些需要用到VC编译的，汗……
roop> .\venv\Scripts\python.exe -mpip install -r requirements.txt
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
Collecting numpy==1.24.3 (from -r requirements.txt (line 1))
Downloading https://mirrors.aliyun.com/pypi/packages/65/5d/46da284b0bf6cfbf04082c3c5e84399664d69e41c11a33587ad49b0c64e5/numpy-1.24.3-cp310-cp310-win_amd64.whl (14.8 MB)
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Collecting opencv-python==4.7.0.72 (from -r requirements.txt (line 2))
Downloading https://mirrors.aliyun.com/pypi/packages/36/98/fab8d982e2e2b57bdebcad64c7e5b5a14ac91c657cac509b9cf3fbea49d2/opencv_python-4.7.0.72-cp37-abi3-win_amd64.whl (38.2 MB)
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Collecting onnx==1.14.0 (from -r requirements.txt (line 3))
Downloading https://mirrors.aliyun.com/pypi/packages/22/5c/46298252ea9f92b6b94184e8f001e575f2c346a22011498110fd032fc921/onnx-1.14.0-cp310-cp310-win_amd64.whl (13.3 MB)
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Collecting insightface==0.7.3 (from -r requirements.txt (line 4))
Downloading https://mirrors.aliyun.com/pypi/packages/0b/8d/0f4af90999ca96cf8cb846eb5ae27c5ef5b390f9c090dd19e4fa76364c13/insightface-0.7.3.tar.gz (439 kB)
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Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... done
Preparing metadata (pyproject.toml) ... done
Collecting psutil==5.9.5 (from -r requirements.txt (line 5))
Downloading https://mirrors.aliyun.com/pypi/packages/86/f3/23e4e4e7ec7855d506ed928756b04735c246b14d9f778ed7ffaae18d8043/psutil-5.9.5-cp36-abi3-win_amd64.whl (255 kB)
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Collecting tk==0.1.0 (from -r requirements.txt (line 6))
Downloading https://mirrors.aliyun.com/pypi/packages/1e/0b/029cbdb868bb555fed99bf6540fff072d500b3f895873709f25084e85e33/tk-0.1.0-py3-none-any.whl (3.9 kB)
Collecting pillow==9.5.0 (from -r requirements.txt (line 7))
Downloading https://mirrors.aliyun.com/pypi/packages/3e/14/0030e542f2acfea43635e55584c114e6cfd94d342393a5f71f74c172dc35/Pillow-9.5.0-cp310-cp310-win_amd64.whl (2.5 MB)
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Collecting torch==2.0.1 (from -r requirements.txt (line 8))
Downloading https://mirrors.aliyun.com/pypi/packages/8a/e7/c216fe520b877cf4fe03858c825cd2031ca3e81e455b89639c9b5ec91981/torch-2.0.1-cp310-cp310-win_amd64.whl (172.3 MB)
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Collecting onnxruntime-gpu==1.15.0 (from -r requirements.txt (line 9))
Downloading https://mirrors.aliyun.com/pypi/packages/d6/1e/da86d6a06e1c75bf8efd178ebde5fd1d0616c6ea4212d141cd3cb62e8b90/onnxruntime_gpu-1.15.0-cp310-cp310-win_amd64.whl (122.5 MB)
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Collecting opennsfw2==0.10.2 (from -r requirements.txt (line 10))
Downloading https://mirrors.aliyun.com/pypi/packages/16/2c/6e7388378fa5f94c02df6914a086d868d2428a2dcf58e2ba0b08fcefeca5/opennsfw2-0.10.2-py3-none-any.whl (12 kB)
Collecting protobuf==3.20.2 (from -r requirements.txt (line 11))
Downloading https://mirrors.aliyun.com/pypi/packages/39/f3/393c00e45439a46f293077da5b0362a1a4d04b2c8242c35a763f03e8e742/protobuf-3.20.2-cp310-cp310-win_amd64.whl (904 kB)
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Collecting typing-extensions>=3.6.2.1 (from onnx==1.14.0->-r requirements.txt (line 3))
Downloading https://mirrors.aliyun.com/pypi/packages/38/60/300ad6f93adca578bf05d5f6cd1d854b7d140bebe2f9829561aa9977d9f3/typing_extensions-4.6.2-py3-none-any.whl (31 kB)
Collecting tqdm (from insightface==0.7.3->-r requirements.txt (line 4))
Downloading https://mirrors.aliyun.com/pypi/packages/e6/02/a2cff6306177ae6bc73bc0665065de51dfb3b9db7373e122e2735faf0d97/tqdm-4.65.0-py3-none-any.whl (77 kB)
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Collecting requests (from insightface==0.7.3->-r requirements.txt (line 4))
Downloading https://mirrors.aliyun.com/pypi/packages/70/8e/0e2d847013cb52cd35b38c009bb167a1a26b2ce6cd6965bf26b47bc0bf44/requests-2.31.0-py3-none-any.whl (62 kB)
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Collecting matplotlib (from insightface==0.7.3->-r requirements.txt (line 4))
Downloading https://mirrors.aliyun.com/pypi/packages/07/76/fde990f131450f08eb06e50814b98d347b14d7916c0ec31cba0a65a9be2b/matplotlib-3.7.1-cp310-cp310-win_amd64.whl (7.6 MB)
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Collecting scipy (from insightface==0.7.3->-r requirements.txt (line 4))
Downloading https://mirrors.aliyun.com/pypi/packages/ec/e3/b06ac3738bf365e89710205a471abe7dceec672a51c244b469bc5d1291c7/scipy-1.10.1-cp310-cp310-win_amd64.whl (42.5 MB)
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Collecting scikit-learn (from insightface==0.7.3->-r requirements.txt (line 4))
Downloading https://mirrors.aliyun.com/pypi/packages/f4/4d/fe3b35e18407da4b386be58616bd0f941ea1762a6c6798267f3aa64ef5d5/scikit_learn-1.2.2-cp310-cp310-win_amd64.whl (8.3 MB)
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Collecting scikit-image (from insightface==0.7.3->-r requirements.txt (line 4))
Downloading https://mirrors.aliyun.com/pypi/packages/2f/2e/14cbb86b2df8a1ffbbf01c7a42743bb1614ddc2c087a040c08a7ccba8b56/scikit_image-0.20.0-cp310-cp310-win_amd64.whl (23.7 MB)
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Collecting easydict (from insightface==0.7.3->-r requirements.txt (line 4))
Downloading https://mirrors.aliyun.com/pypi/packages/55/83/0d1ee7962f3ba3fbe9eebe67eb484f6745995c9af045c0ebe5f33564cba0/easydict-1.10.tar.gz (6.4 kB)
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Building wheels for collected packages: insightface, easydict
Building wheel for insightface (pyproject.toml) ... done
Created wheel for insightface: filename=insightface-0.7.3-cp310-cp310-win_amd64.whl size=841367 sha256=bbcfdf24a862127de6ec2a434f133ce3fa72e348c23f70da4b2f8125f6669c7b
Stored in directory: c:\users\shion\appdata\local\pip\cache\wheels\f3\96\01\d0647a259041eeb01dbfdfb3a43ad21ee3b18ca84b09869d8d
Building wheel for easydict (setup.py) ... done
Created wheel for easydict: filename=easydict-1.10-py3-none-any.whl size=6515 sha256=b6cba65f6f13e658494385be04c9e48f36ff89092a7ac467f0bd0c0c57cab05b
Stored in directory: c:\users\shion\appdata\local\pip\cache\wheels\6b\67\84\0f7f80aa3329df4012af7bf979008fca9133b91f6be61238b7
Successfully built insightface easydict
Installing collected packages: wcwidth, tk, tensorboard-plugin-wit, pyreadline3, mpmath, libclang, keras, flatbuffers, easydict, wrapt, urllib3, typing-extensions, threadpoolctl, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, sympy, soupsieve, six, PyYAML, PySocks, pyparsing, pyasn1, psutil, protobuf, prettytable, pillow, packaging, oauthlib, numpy, networkx, MarkupSafe, markdown, lazy_loader, kiwisolver, joblib, idna, humanfriendly, grpcio, gast, fonttools, filelock, cython, cycler, colorama, charset-normalizer, certifi, cachetools, absl-py, werkzeug, tqdm, tifffile, scipy, rsa, requests, PyWavelets, python-dateutil, pyasn1-modules, opt-einsum, opencv-python-headless, opencv-python, onnx, keras-preprocessing, jinja2, imageio, h5py, google-pasta, contourpy, coloredlogs, beautifulsoup4, astunparse, torch, scikit-learn, scikit-image, requests-oauthlib, onnxruntime-gpu, matplotlib, google-auth, qudida, google-auth-oauthlib, gdown, tensorboard, albumentations, tensorflow, insightface, opennsfw2
Successfully installed MarkupSafe-2.1.2 PySocks-1.7.1 PyWavelets-1.4.1 PyYAML-6.0 absl-py-1.4.0 albumentations-1.3.0 astunparse-1.6.3 beautifulsoup4-4.12.2 cachetools-5.3.1 certifi-2023.5.7 charset-normalizer-3.1.0 colorama-0.4.6 coloredlogs-15.0.1 contourpy-1.0.7 cycler-0.11.0 cython-0.29.35 easydict-1.10 filelock-3.12.0 flatbuffers-1.12 fonttools-4.39.4 gast-0.4.0 gdown-4.7.1 google-auth-2.19.0 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 grpcio-1.54.2 h5py-3.8.0 humanfriendly-10.0 idna-3.4 imageio-2.30.0 insightface-0.7.3 jinja2-3.1.2 joblib-1.2.0 keras-2.9.0 keras-preprocessing-1.1.2 kiwisolver-1.4.4 lazy_loader-0.2 libclang-16.0.0 markdown-3.4.3 matplotlib-3.7.1 mpmath-1.3.0 networkx-3.1 numpy-1.24.3 oauthlib-3.2.2 onnx-1.14.0 onnxruntime-gpu-1.15.0 opencv-python-4.7.0.72 opencv-python-headless-4.7.0.72 opennsfw2-0.10.2 opt-einsum-3.3.0 packaging-23.1 pillow-9.5.0 prettytable-3.7.0 protobuf-3.20.2 psutil-5.9.5 pyasn1-0.5.0 pyasn1-modules-0.3.0 pyparsing-3.0.9 pyreadline3-3.4.1 python-dateutil-2.8.2 qudida-0.0.4 requests-2.31.0 requests-oauthlib-1.3.1 rsa-4.9 scikit-image-0.20.0 scikit-learn-1.2.2 scipy-1.10.1 six-1.16.0 soupsieve-2.4.1 sympy-1.12 tensorboard-2.9.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorflow-2.9.0 tensorflow-estimator-2.9.0 tensorflow-io-gcs-filesystem-0.31.0 termcolor-2.3.0 threadpoolctl-3.1.0 tifffile-2023.4.12 tk-0.1.0 torch-2.0.1 tqdm-4.65.0 typing-extensions-4.6.2 urllib3-1.26.16 wcwidth-0.2.6 werkzeug-2.3.4 wrapt-1.15.0
（4.5）运行
roop> .\venv\Scripts\python.exe .\run.py
