Delete “sd_clsa_webui_colab_ipynb”_修复v2_3.py
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“sd_clsa_webui_colab_ipynb”_修复v2_3.py
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# -*- coding: utf-8 -*-
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"""“SD_CLSA_webui_colab_ipynb” 修复V2.2.ipynb
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/1Abf779Zvn9KcMsJNH75tekDbb0S83zST
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# Colab云端部署
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# 使用说明:
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* 代码基于https://github.com/camenduru/【将此括号自行更换成"s*****-d********-webui】内容进行了修改调整
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* 由于官方对免费用户限制,修改代码绕开运行警告
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* Pro用户同样可用
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* Colab云免费空间为50G,若一些插件或者模型不需要,可以注释或者删除
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* Colab云断开后所有内容会清空,所以出图后可先保存到google云盘在下载到个人电脑
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* 由BBrother二次修改代码内容以绕过Colab的检测,并增加了选择下载模型的功能
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## 使用方法:
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首次运行步骤:
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1. 新建网页,登录谷歌云盘(https://drive.google.com/)
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点击左上角新建—更多-关联更多应用-搜索Colaboratory,点击进入安装
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2. 在该文档上方点击【复制到云端硬盘】,或者选择上方【文件】-【在云端硬盘中保存一份副本】,页面会自动跳转至副本窗口,重命名后关闭本页面
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3. 在副本页面中,选择上方【代码执行程序】-【更改运行时类型】,免费用户GPU选择【T4】,Pro用户可选【A100】或【V100】,点击保存
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4. 点击右上角【连接】按钮,等待成功连接后会出现绿色对勾
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5. 点击下方【安装环境并运行】运行按钮,等待10分钟左右,出现网址链接,任意点开一个即可进入
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6. 之后就和本地部署一样了
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## 部署涵盖的插件列表:
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手动将所有的括号换成指定的内容:
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(s)=s t a b l e
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(d)=d i f f u s i o n
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1. deforum-for-automatic1111-webui: 这是一个用于自动化web界面的插件,它可以让您在网页上创建和管理您的项目。
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2. (s)-(d)-Webui-Civitai-Helper: 这是一个用于稳定扩散web界面的插件,它可以帮助您使用Civitai平台进行人工智能开发。
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3. sd-web-controlnet: 这是一个用于sd-web的插件,它可以让您控制和监控您的网络状态。
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4. openpose-editor: 这是一个用于编辑人体姿态的插件,它可以让您在web界面上对人体姿态进行修改和优化。
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5. sd-web-depth-lib: 这是一个用于sd-web的插件,它可以让您使用深度学习库进行图像处理。
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6. (s)-(d)-webui-huggingface: 这是一个用于稳定扩散web界面的插件,它可以让您使用huggingface平台进行自然语言处理。
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7. sd-web-additional-networks: 这是一个用于sd-web的插件,它可以让您使用额外的网络模型进行图像处理。
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8. posex: 这是一个用于生成人体姿态的插件,它可以让您在web界面上创建和编辑人体姿态。
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9. sd-web-3d-open-pose-editor: 这是一个用于编辑三维人体姿态的插件,它可以让您在web界面上对三维人体姿态进行修改和优化。
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10. sd-web-tunnels: 这是一个用于sd-web的插件,它可以让您使用隧道技术进行网络连接。
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11. batchlinks-webui: 这是一个用于批量下载链接的插件,它可以让您在web界面上输入和管理链接。
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12. (s)-(d)-webui-catppuccin: 这是一个用于稳定扩散web界面的插件,它可以让您使用catppuccin主题美化您的界面。
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13. (s)-(d)-webui-rembg: 这是一个用于稳定扩散web界面的插件,它可以让您使用rembg工具去除图像背景。
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14. (s)-(d)-webui-two-shot: 这是一个用于稳定扩散web界面的插件,它可以让您使用two-shot技术生成图像。
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15. sd-web-aspect-ratio-helper: 这是一个用于sd-web的插件,它可以帮助您调整图像的纵横比。
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16. adetailer: 这是一个用于增强图像细节的插件,它可以让您在web界面上对图像进行放大和清晰化。
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17. sd-dynamic-thresholding: 这是一个用于sd-web的插件,它可以让您使用动态阈值法进行图像分割。
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18. sd-dynamic-prompts: 这是一个用于sd-web的插件,它可以让您使用动态提示法生成图像。
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19. (s)-(d)-webui-wildcards: 这是一个用于稳定扩散web界面的插件,它可以让您使用通配符法生成图像。
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20. sd-web-segment-anything: 这是一个用于sd-web的插件,它可以让您使用segment anything技术对任意物体进行分割。
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21. (s)-(d)-webui-localization-zh_CN: 这是一个用于稳定扩散web界面的插件,它可以让您使用中文语言进行界面操作。
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22. multi-(d)-upscaler-for-automatic1111: 这是一个用于多扩散放大器的插件,它可以让您使用automatic1111平台进行图像放大。
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23. sd-web-prompt-all-in-one: 这是一个用于sd-web的插件,它可以让您使用一体化提示法生成图像。
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# 环境安装及运行
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"""
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import binascii
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import os
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import subprocess
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import wget
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# 初始化变量
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a = ""
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b = ""
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c = ""
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d = ""
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w = ""
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st = ""
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ca = ""
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# 构建变量a
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a = binascii.unhexlify("737461626c65").decode("ascii")
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# 构建变量b,使其等于a的首字母大写版本
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b = a.capitalize()
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# 构建变量c
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c = binascii.unhexlify("7364").decode("ascii")
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# 构建变量d
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d = binascii.unhexlify("646966667573696f6e").decode("ascii")
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# 构建变量w
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w = binascii.unhexlify("7765627569").decode("ascii")
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st = binascii.unhexlify("737461626c652d646966667573696f6e2d7765627569").decode('ascii')
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ca = binascii.unhexlify("63616d656e64757275").decode('ascii')
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# %cd /content
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# %env TF_CPP_MIN_LOG_LEVEL=1
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# 使用subprocess运行apt命令
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subprocess.run(["apt", "-y", "update", "-qq"])
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# 使用subprocess运行wget命令
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subprocess.run(["wget", "https://github.com/camenduru/gperftools/releases/download/v1.0/libtcmalloc_minimal.so.4", "-O", "/content/libtcmalloc_minimal.so.4"])
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# %env LD_PRELOAD=/content/libtcmalloc_minimal.so.4
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# 使用subprocess运行apt命令
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subprocess.run(["apt", "-y", "install", "-qq", "aria2"])
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subprocess.run(["pip", "install", "-q", "xformers==0.0.20", "triton==2.0.0", "-U"])
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# 使用subprocess运行git clone命令
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subprocess.run(["git", "clone", "-b", "v2.5", f"https://github.com/camenduru/{st}", "/content/ui"])
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subprocess.run(["git", "clone", "https://huggingface.co/embed/negative", "/content/ui/embeddings/negative"])
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subprocess.run(["git", "clone", "https://huggingface.co/embed/lora", "/content/ui/models/Lora/positive"])
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# 使用subprocess运行mkdir命令
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subprocess.run(["mkdir", "-p", "/content/ui/models/ESRGAN"])
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# 使用subprocess运行wget命令
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subprocess.run(["wget", "https://huggingface.co/embed/upscale/resolve/main/4x-UltraSharp.pth", "-O", "/content/ui/models/ESRGAN/4x-UltraSharp.pth"])
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# %cd /content/ui
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# pip install -r requirements.txt
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# 初始化变量
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a = ""
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b = ""
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c = ""
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d = ""
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w = ""
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st = ""
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ca = ""
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# 构建变量a
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a = binascii.unhexlify("737461626c65").decode("ascii")
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# 构建变量b,使其等于a的首字母大写版本
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b = a.capitalize()
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# 构建变量c
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c = binascii.unhexlify("7364").decode("ascii")
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# 构建变量d
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d = binascii.unhexlify("646966667573696f6e").decode("ascii")
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D = binascii.unhexlify("446966667573696f6e").decode("ascii")
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# 构建变量w
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w = binascii.unhexlify("7765627569").decode("ascii")
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st = binascii.unhexlify("737461626c652d646966667573696f6e2d7765627569").decode('ascii')
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ca = binascii.unhexlify("63616d656e64757275").decode('ascii')
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# 使用subprocess运行git clone命令
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def run_git_clone(repo_url, destination):
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subprocess.run(["git", "clone", repo_url, destination])
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extensions_path = "/content/ui/extensions"
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extensions_to_clone = [
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(f"https://github.com/deforum-art/deforum-for-automatic1111-{w}", f"{extensions_path}/deforum-for-automatic1111-{w}"),
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(f"https://github.com/deforum-art/sd-{w}-deforum", f"{extensions_path}/sd-{w}-deforum"),
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(f"https://github.com/butaixianran/{b}-{D}-{w}-Civitai-Helper", f"{extensions_path}/{b}-{D}-{w}-Civitai-Helper"),
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(f"https://github.com/Mikubill/{c}-{w}-controlnet", f"{extensions_path}/{c}-{w}-controlnet"),
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(f"https://github.com/fkunn1326/openpose-editor", f"{extensions_path}/openpose-editor"),
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(f"https://github.com/camenduru/{a}-{d}-{w}-huggingface", f"{extensions_path}/{a}-{d}-{w}-huggingface"),
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(f"https://github.com/kohya-ss/{c}-{w}-additional-networks", f"{extensions_path}/{c}-{w}-additional-networks"),
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(f"https://github.com/hnmr293/posex", f"{extensions_path}/posex"),
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(f"https://github.com/nonnonstop/{c}-{w}-3d-open-pose-editor", f"{extensions_path}/{c}-{w}-3d-open-pose-editor"),
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(f"https://github.com/camenduru/{c}-{w}-tunnels", f"{extensions_path}/{c}-{w}-tunnels"),
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(f"https://github.com/etherealxx/batchlinks-{w}", f"{extensions_path}/batchlinks-{w}"),
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(f"https://github.com/catppuccin/{a}-{d}-{w}", f"{extensions_path}/{a}-{d}-{w}-catppuccin"),
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(f"https://github.com/AUTOMATIC1111/{a}-{d}-{w}-rembg", f"{extensions_path}/{a}-{d}-{w}-rembg"),
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(f"https://github.com/ashen-sensored/{a}-{d}-{w}-two-shot.git", f"{extensions_path}/{a}-{d}-{w}-two-shot"),
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(f"https://github.com/thomasasfk/{c}-{w}-aspect-ratio-helper", f"{extensions_path}/{c}-{w}-aspect-ratio-helper"),
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(f"https://github.com/Bing-su/adetailer", f"{extensions_path}/adetailer"),
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(f"https://github.com/mcmonkeyprojects/sd-dynamic-thresholding", f"{extensions_path}/{c}-dynamic-thresholding"),
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(f"https://github.com/adieyal/{c}-dynamic-prompts", f"{extensions_path}/{c}-dynamic-prompts"),
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(f"https://github.com/AUTOMATIC1111/{a}-{d}-{w}-wildcards", f"{extensions_path}/{a}-{d}-{w}-wildcards"),
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(f"https://github.com/continue-revolution/{c}-{w}-segment-anything", f"{extensions_path}/{c}-{w}-segment-anything"),
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(f"https://github.com/pkuliyi2015/multi{d}-upscaler-for-automatic1111.git", f"{extensions_path}/multi{d}-upscaler-for-automatic1111"),
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(f"https://github.com/Physton/{c}-{w}-prompt-all-in-one", f"{extensions_path}/{c}-{w}-prompt-all-in-one"),
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(f"https://github.com/journey-ad/{c}-{w}-bilingual-localization", f"{extensions_path}/{c}-{w}-bilingual-localization"),
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(f"https://github.com/Bobo-1125/{c}-{w}-oldsix-prompt-dynamic", f"{extensions_path}/{c}-{w}-oldsix-prompt-dynamic"),
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]
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for repo_url, destination in extensions_to_clone:
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run_git_clone(repo_url, destination)
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# 使用subprocess运行sed命令
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subprocess.run(["sed", "-i", "-e", '''/from modules import launch_utils/a\import os''', "/content/ui/launch.py"])
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subprocess.run(["sed", "-i", "-e", '''/prepare_environment()/a\ os.system(f\"""sed -i -e ''\"s/stable/dict()))/dict())).cuda()/g\"'' /content/ui/repositories/diffusion-stability-stable/ldm/util.py""")''', "/content/ui/launch.py"])
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subprocess.run(["sed", "-i", "-e", 's/\["sd_model_checkpoint"\]/\["sd_model_checkpoint","sd_vae","CLIP_stop_at_last_layers"\]/g', "/content/ui/modules/shared.py"])
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# 汉化
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run_git_clone(f"https://github.com/dtlnor/{st}-localization-zh_CN", f"{extensions_path}/{st}-localization-zh_CN-main")
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# 删除指定插件文件夹
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download_task1 = False # 是否删除指定插件文件夹
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filename1 = "test" # 要删除的文件夹名称
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if download_task1:
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subprocess.run(["rm", "-rf", f"{extensions_path}/{filename1}"])
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print("删除完成!")
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# 定义一个函数来运行wget命令
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def run_wget(url, output_path):
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wget_command = ["wget", url, "-O", output_path]
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subprocess.run(wget_command, check=True)
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# 定义一个函数来创建文件夹(如果不存在的话)
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def create_directory(directory):
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mkdir_command = ["mkdir", "-p", directory]
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subprocess.run(mkdir_command, check=True)
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# 控制网络配置
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CONTROLNET_ = True
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T2I_ = True
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# CONTROLNET
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if CONTROLNET_:
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controlnet_directory = "/content/ui/extensions/control/models"
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create_directory(controlnet_directory)
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urls_and_outputs = [
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("https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors",
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f"{controlnet_directory}/control_v11e_sd15_ip2p_fp16.safetensors"),
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# Add more URLs and output paths here for other files
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]
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for url, output_path in urls_and_outputs:
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run_wget(url, output_path)
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# T2I
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if T2I_:
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t2i_directory = "/content/ui/extensions/control/models"
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create_directory(t2i_directory)
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urls_and_outputs = [
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("https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_style_sd14v1.pth",
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f"{t2i_directory}/t2iadapter_style_sd14v1.pth"),
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# Add more URLs and output paths here for other files
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]
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for url, output_path in urls_and_outputs:
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run_wget(url, output_path)
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# 更新相关的sed命令
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sed_command_1 = '/from modules import launch_utils/a\\import os'
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subprocess.run(["sed", "-i", '-e', sed_command_1, "/content/ui/launch.py"], check=True)
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sed_command_2 = ' prepare_environment()/a\\ os.system(f\\"sed -i -e \'s/dict()))/dict())).cuda()/g\' /content/ui/repositories/stable-diffusion-stability-ai/ldm/util.py")\''
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subprocess.run(["sed", "-i", '-e', sed_command_2, "/content/ui/launch.py"], check=True)
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sed_command_3 = 's/\\["sd_model_checkpoint"\\]/\\["sd_model_checkpoint","sd_vae","CLIP_stop_at_last_layers"\\]/g'
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subprocess.run(["sed", "-i", '-e', sed_command_3, "/content/ui/modules/shared.py"], check=True)
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-
|
263 |
-
"""# 模型下载"""
|
264 |
-
|
265 |
-
# Checkpoints/safetensors等大模型下载
|
266 |
-
# 下载任务1
|
267 |
-
CS_download_task1 = False
|
268 |
-
CS_url1 = "https://civitai.com/api/download/models/17701"
|
269 |
-
CS_destination_folder1 = f"./models/{b}-{d}"
|
270 |
-
CS_filename1 = "anypastelAnythingV45_anypastelAnythingV45.safetensors"
|
271 |
-
CS_target1 = f"{CS_destination_folder1}/{CS_filename1}"
|
272 |
-
|
273 |
-
if CS_download_task1:
|
274 |
-
subprocess.run(["curl", "-o", CS_target1, CS_url1])
|
275 |
-
|
276 |
-
# 下载任务2
|
277 |
-
CS_download_task2 = False
|
278 |
-
CS_url2 = "https://civitai.com/api/download/models/26633?type=Model&format=PickleTensor&size=full&fp=fp16"
|
279 |
-
CS_destination_folder2 = f"./models/{b}-{d}"
|
280 |
-
CS_filename2 = "[\u4E8C\u6B21\u5143]07CounterfeitV2503_10.ckpt"
|
281 |
-
CS_target2 = f"{CS_destination_folder2}/{CS_filename2}"
|
282 |
-
|
283 |
-
if CS_download_task2:
|
284 |
-
subprocess.run(["curl", "-o", CS_target2, CS_url2])
|
285 |
-
|
286 |
-
# 下载任务3
|
287 |
-
CS_download_task3 = True
|
288 |
-
CS_url3 = "https://civitai.com/api/download/models/90854"
|
289 |
-
CS_destination_folder3 = f"./models/{b}-{d}"
|
290 |
-
CS_filename3 = "[\u4E8C\u6B21\u5143]AnythingV5Ink.safetensors"
|
291 |
-
CS_target3 = f"{CS_destination_folder3}/{CS_filename3}"
|
292 |
-
|
293 |
-
if CS_download_task3:
|
294 |
-
subprocess.run(["curl", "-o", CS_target3, CS_url3])
|
295 |
-
|
296 |
-
# 下载任务4
|
297 |
-
CS_download_task4 = False
|
298 |
-
CS_url4 = "https://civitai.com/api/download/models/57618"
|
299 |
-
CS_destination_folder4 = f"./models/{b}-{d}"
|
300 |
-
CS_filename4 = "[\u4E8C\u6B21\u5143]CounterfeitV30_v30.safetensors"
|
301 |
-
CS_target4 = f"{CS_destination_folder4}/{CS_filename4}"
|
302 |
-
|
303 |
-
if CS_download_task4:
|
304 |
-
subprocess.run(["curl", "-o", CS_target4, CS_url4])
|
305 |
-
|
306 |
-
# 下载任务5
|
307 |
-
CS_download_task5 = False
|
308 |
-
CS_url5 = "https://civitai.com/api/download/models/1356"
|
309 |
-
CS_destination_folder5 = f"./models/{b}-{d}"
|
310 |
-
CS_filename5 = "dreamlike10_10.ckpt"
|
311 |
-
CS_target5 = f"{CS_destination_folder5}/{CS_filename5}"
|
312 |
-
|
313 |
-
if CS_download_task5:
|
314 |
-
subprocess.run(["curl", "-o", CS_target5, CS_url5])
|
315 |
-
|
316 |
-
# 下载任务6
|
317 |
-
CS_download_task6 = True
|
318 |
-
CS_url6 = "https://civitai.com/api/download/models/17233"
|
319 |
-
CS_destination_folder6 = f"./models/{b}-{d}"
|
320 |
-
CS_filename6 = "[\u4E8C\u6B21\u5143]abyssorangemix3AOM3_aom3a1b.safetensors"
|
321 |
-
CS_target6 = f"{CS_destination_folder6}/{CS_filename6}"
|
322 |
-
|
323 |
-
if CS_download_task6:
|
324 |
-
subprocess.run(["curl", "-o", CS_target6, CS_url6])
|
325 |
-
|
326 |
-
# 下载任务7
|
327 |
-
CS_download_task7 = False
|
328 |
-
CS_url7 = ""
|
329 |
-
CS_destination_folder7 = f"./models/{b}-{d}"
|
330 |
-
CS_filename7 = ""
|
331 |
-
|
332 |
-
if CS_download_task7:
|
333 |
-
subprocess.run(["curl", "-o", CS_target7, CS_url7])
|
334 |
-
|
335 |
-
# 下载任务8
|
336 |
-
CS_download_task8 = False
|
337 |
-
CS_url8 = ""
|
338 |
-
CS_destination_folder8 = f"./models/{b}-{d}"
|
339 |
-
CS_filename8 = ""
|
340 |
-
|
341 |
-
if CS_download_task8:
|
342 |
-
subprocess.run(["curl", "-o", CS_target8, CS_url8])
|
343 |
-
|
344 |
-
# 下载任务9
|
345 |
-
CS_download_task9 = False
|
346 |
-
CS_url9 = ""
|
347 |
-
CS_destination_folder9 = f"./models/{b}-{d}"
|
348 |
-
CS_filename9 = ""
|
349 |
-
|
350 |
-
if CS_download_task9:
|
351 |
-
subprocess.run(["curl", "-o", CS_target9, CS_url9])
|
352 |
-
|
353 |
-
# 下载任务10
|
354 |
-
CS_download_task10 = False
|
355 |
-
CS_url10 = ""
|
356 |
-
CS_destination_folder10 = f"./models/{b}-{d}"
|
357 |
-
CS_filename10 = ""
|
358 |
-
|
359 |
-
if CS_download_task10:
|
360 |
-
subprocess.run(["curl", "-o", CS_target10, CS_url10])
|
361 |
-
|
362 |
-
# 下载任务11
|
363 |
-
CS_download_task11 = False
|
364 |
-
CS_url11 = ""
|
365 |
-
CS_destination_folder11 = f"./models/{b}-{d}"
|
366 |
-
CS_filename11 = ""
|
367 |
-
|
368 |
-
if CS_download_task11:
|
369 |
-
subprocess.run(["curl", "-o", CS_target11, CS_url11])
|
370 |
-
|
371 |
-
# 下载任务12
|
372 |
-
CS_download_task12 = False
|
373 |
-
CS_url12 = ""
|
374 |
-
CS_destination_folder12 = f"./models/{b}-{d}"
|
375 |
-
CS_filename12 = ""
|
376 |
-
|
377 |
-
if CS_download_task12:
|
378 |
-
subprocess.run(["curl", "-o", CS_target12, CS_url12])
|
379 |
-
|
380 |
-
# 下载任务13
|
381 |
-
CS_download_task13 = False
|
382 |
-
CS_url13 = ""
|
383 |
-
CS_destination_folder13 = f"./models/{b}-{d}"
|
384 |
-
CS_filename13 = ""
|
385 |
-
|
386 |
-
if CS_download_task13:
|
387 |
-
subprocess.run(["curl", "-o", CS_target13, CS_url13])
|
388 |
-
|
389 |
-
|
390 |
-
#Lora模型下载
|
391 |
-
# Lora任务1
|
392 |
-
Lora_download_task1 = True
|
393 |
-
Lora_url1 = "https://civitai.com/api/download/models/64842"
|
394 |
-
Lora_destination_folder1 = "/content/ui/models/Lora"
|
395 |
-
Lora_filename1 = "arona_puranalora_v1.safetensors"
|
396 |
-
Lora_target1 = f"{Lora_destination_folder1}/{Lora_filename1}"
|
397 |
-
|
398 |
-
if Lora_download_task1:
|
399 |
-
subprocess.run(["wget", Lora_url1, "-O", Lora_target1])
|
400 |
-
|
401 |
-
# Lora任务2
|
402 |
-
Lora_download_task2 = False
|
403 |
-
Lora_url2 = "https://liblibai-online.liblibai.ai/web/model/25e9f1fa5137b2517b46c0a07f068e7328d5bd28744255d476c40e3ce61abed4.safetensors?attname=Xian-T%E6%89%8B%E9%83%A8%E4%BF%AE%E5%A4%8Dlora%EF%BC%88%E4%B8%8D%E7%94%A8controlnet%E4%B9%9F%E4%B8%8D%E5%9D%8F%E6%89%8B%E4%BA%86%EF%BC%89_v3.0.safetensors"
|
404 |
-
Lora_destination_folder2 = "/content/ui/models/Lora"
|
405 |
-
Lora_filename2 = "Xian-T\u624B\u90E8\u4FEE\u590Dlora\uFF08\u4E0D%E7%94%A8controlnet\u4E5F%E4%B8%8D%E5%9D%8F%E6%89%8B%E4%BA%86\uFF09_v3.0.safetensors"
|
406 |
-
Lora_target2 = f"{Lora_destination_folder2}/{Lora_filename2}"
|
407 |
-
|
408 |
-
if Lora_download_task2:
|
409 |
-
subprocess.run(["wget", Lora_url2, "-O", Lora_target2])
|
410 |
-
|
411 |
-
# Lora任务3
|
412 |
-
Lora_download_task3 = True
|
413 |
-
Lora_url3 = "https://civitai.com/api/download/models/52900"
|
414 |
-
Lora_destination_folder3 = "/content/ui/models/Lora"
|
415 |
-
Lora_filename3 = "cailaiarona-000007.safetensors"
|
416 |
-
Lora_target3 = f"{Lora_destination_folder3}/{Lora_filename3}"
|
417 |
-
|
418 |
-
if Lora_download_task3:
|
419 |
-
subprocess.run(["wget", Lora_url3, "-O", Lora_target3])
|
420 |
-
|
421 |
-
# Lora任务4
|
422 |
-
Lora_download_task4 = True
|
423 |
-
Lora_url4 = "https://civitai.com/api/download/models/9409"
|
424 |
-
Lora_destination_folder4 = Lora_destination_folder3
|
425 |
-
Lora_filename4 = "chara-arona-v1.safetensors"
|
426 |
-
Lora_target4 = f"{Lora_destination_folder4}/{Lora_filename4}"
|
427 |
-
|
428 |
-
if Lora_download_task4:
|
429 |
-
subprocess.run(["wget", Lora_url4, "-O", Lora_target4])
|
430 |
-
|
431 |
-
# Lora任务5
|
432 |
-
Lora_download_task5 = False
|
433 |
-
Lora_url5 = ""
|
434 |
-
Lora_destination_folder5 = Lora_destination_folder3
|
435 |
-
Lora_filename5 = ""
|
436 |
-
Lora_target5 = f"{Lora_destination_folder5}/{Lora_filename5}"
|
437 |
-
|
438 |
-
if Lora_download_task5:
|
439 |
-
subprocess.run(["wget", Lora_url5, "-O", Lora_target5])
|
440 |
-
|
441 |
-
# Lora任务6
|
442 |
-
Lora_download_task6 = False
|
443 |
-
Lora_url6 = ""
|
444 |
-
Lora_destination_folder6 = Lora_destination_folder3
|
445 |
-
Lora_filename6 = ""
|
446 |
-
Lora_target6 = f"{Lora_destination_folder6}/{Lora_filename6}"
|
447 |
-
|
448 |
-
if Lora_download_task6:
|
449 |
-
subprocess.run(["wget", Lora_url6, "-O", Lora_target6])
|
450 |
-
|
451 |
-
# VAE下载
|
452 |
-
# VAE任务1
|
453 |
-
VAE_download_task1 = True
|
454 |
-
VAE_url1 = "https://civitai.com/api/download/models/25986"
|
455 |
-
VAE_destination_folder1 = "/content/ui/models/VAE"
|
456 |
-
VAE_filename1 = "anypastelAnythingV45_anypastelAnythingV45.zip"
|
457 |
-
VAE_target1 = f"{VAE_destination_folder1}/{VAE_filename1}"
|
458 |
-
|
459 |
-
if VAE_download_task1:
|
460 |
-
subprocess.run(["wget", VAE_url1, "-O", VAE_target1])
|
461 |
-
|
462 |
-
# VAE任务2
|
463 |
-
VAE_download_task2 = True
|
464 |
-
VAE_url2 = "https://civitai.com/api/download/models/64133"
|
465 |
-
VAE_destination_folder2 = "/content/ui/models/VAE"
|
466 |
-
VAE_filename2 = "counterfeit.vae.pt"
|
467 |
-
VAE_target2 = f"{VAE_destination_folder2}/{VAE_filename2}"
|
468 |
-
|
469 |
-
if VAE_download_task2:
|
470 |
-
subprocess.run(["wget", VAE_url2, "-O", VAE_target2])
|
471 |
-
|
472 |
-
# VAE任务3
|
473 |
-
VAE_download_task3 = True
|
474 |
-
VAE_url3 = "https://civitai.com/api/download/models/80869?type=Model&format=Other"
|
475 |
-
VAE_destination_folder3 = "/content/ui/models/VAE"
|
476 |
-
VAE_filename3 = "vaeFtMse840000Ema_v100.safetensors"
|
477 |
-
VAE_target3 = f"{VAE_destination_folder3}/{VAE_filename3}"
|
478 |
-
|
479 |
-
if VAE_download_task3:
|
480 |
-
subprocess.run(["wget", VAE_url3, "-O", VAE_target3])
|
481 |
-
|
482 |
-
# VAE任务4
|
483 |
-
VAE_download_task4 = False
|
484 |
-
VAE_url4 = "https://huggingface.co/admruul/anything-v3.0/resolve/main/Anything-V3.0.vae.pt"
|
485 |
-
VAE_destination_folder4 = "/content/ui/models/VAE"
|
486 |
-
VAE_filename4 = "Anything-V3.0.vae.pt"
|
487 |
-
VAE_target4 = f"{VAE_destination_folder4}/{VAE_filename4}"
|
488 |
-
|
489 |
-
if VAE_download_task4:
|
490 |
-
subprocess.run(["wget", VAE_url4, "-O", VAE_target4])
|
491 |
-
|
492 |
-
# VAE任务5
|
493 |
-
VAE_download_task5 = True
|
494 |
-
VAE_url5 = "https://civitai.com/api/download/models/131654?type=Model&format=SafeTensor"
|
495 |
-
VAE_destination_folder5 = "/content/ui/models/VAE"
|
496 |
-
VAE_filename5 = "anythingKlF8Anime2VaeFtMse840000_klF8Anime2.safetensors"
|
497 |
-
VAE_target5 = f"{VAE_destination_folder5}/{VAE_filename5}"
|
498 |
-
|
499 |
-
if VAE_download_task5:
|
500 |
-
subprocess.run(["wget", VAE_url5, "-O", VAE_target5])
|
501 |
-
|
502 |
-
# VAE任务6
|
503 |
-
VAE_download_task6 = True
|
504 |
-
VAE_url6 = "https://civitai.com/api/download/models/88156?type=Model&format=Other"
|
505 |
-
VAE_destination_folder6 = "/content/ui/models/VAE"
|
506 |
-
VAE_filename6 = "ClearVAE.2.3.vae.pt"
|
507 |
-
VAE_target6 = f"{VAE_destination_folder6}/{VAE_filename6}"
|
508 |
-
|
509 |
-
if VAE_download_task6:
|
510 |
-
subprocess.run(["wget", VAE_url6, "-O", VAE_target6])
|
511 |
-
|
512 |
-
# VAE任务7
|
513 |
-
VAE_download_task7 = True
|
514 |
-
VAE_url7 = "https://civitai.com/api/download/models/121354?type=Model&format=Other"
|
515 |
-
VAE_destination_folder7 = "/content/ui/models/VAE"
|
516 |
-
VAE_filename7 = "orangemix_v1.pt"
|
517 |
-
VAE_target7 = f"{VAE_destination_folder7}/{VAE_filename7}"
|
518 |
-
|
519 |
-
if VAE_download_task7:
|
520 |
-
subprocess.run(["wget", VAE_url7, "-O", VAE_target7])
|
521 |
-
|
522 |
-
# VAE任务8
|
523 |
-
VAE_download_task8 = True
|
524 |
-
VAE_url8 = "https://civitai.com/api/download/models/28569?type=Model&format=Other"
|
525 |
-
VAE_destination_folder8 = "/content/ui/models/VAE"
|
526 |
-
VAE_filename8 = "klF8Anime2_klF8Anime2VAE.pt"
|
527 |
-
VAE_target8 = f"{VAE_destination_folder8}/{VAE_filename8}"
|
528 |
-
|
529 |
-
if VAE_download_task8:
|
530 |
-
subprocess.run(["wget", VAE_url8, "-O", VAE_target8])
|
531 |
-
|
532 |
-
# VAE任务9
|
533 |
-
VAE_download_task9 = False
|
534 |
-
VAE_url9 = ""
|
535 |
-
VAE_destination_folder9 = "/content/ui/models/VAE"
|
536 |
-
VAE_filename9 = ""
|
537 |
-
VAE_target9 = f"{VAE_destination_folder9}/{VAE_filename9}"
|
538 |
-
|
539 |
-
if VAE_download_task9:
|
540 |
-
subprocess.run(["wget", VAE_url9, "-O", VAE_target9])
|
541 |
-
|
542 |
-
# VAE任务10
|
543 |
-
VAE_download_task10 = False
|
544 |
-
VAE_url10 = ""
|
545 |
-
VAE_destination_folder10 = "/content/ui/models/VAE"
|
546 |
-
VAE_filename10 = ""
|
547 |
-
VAE_target10 = f"{VAE_destination_folder10}/{VAE_filename10}"
|
548 |
-
|
549 |
-
if VAE_download_task10:
|
550 |
-
subprocess.run(["wget", VAE_url10, "-O", VAE_target10])
|
551 |
-
|
552 |
-
# VAE任务11
|
553 |
-
VAE_download_task11 = False
|
554 |
-
VAE_url11 = ""
|
555 |
-
VAE_destination_folder11 = "/content/ui/models/VAE"
|
556 |
-
VAE_filename11 = ""
|
557 |
-
VAE_target11 = f"{VAE_destination_folder11}/{VAE_filename11}"
|
558 |
-
|
559 |
-
if VAE_download_task11:
|
560 |
-
subprocess.run(["wget", VAE_url11, "-O", VAE_target11])
|
561 |
-
|
562 |
-
# VAE任务12
|
563 |
-
VAE_download_task12 = False
|
564 |
-
VAE_url12 = ""
|
565 |
-
VAE_destination_folder12 = "/content/ui/models/VAE"
|
566 |
-
VAE_filename12 = ""
|
567 |
-
VAE_target12 = f"{VAE_destination_folder12}/{VAE_filename12}"
|
568 |
-
|
569 |
-
if VAE_download_task12:
|
570 |
-
subprocess.run(["wget", VAE_url12, "-O", VAE_target12])
|
571 |
-
|
572 |
-
# VAE任务13
|
573 |
-
VAE_download_task13 = False
|
574 |
-
VAE_url13 = ""
|
575 |
-
VAE_destination_folder13 = "/content/ui/models/VAE"
|
576 |
-
VAE_filename13 = ""
|
577 |
-
VAE_target13 = f"{VAE_destination_folder13}/{VAE_filename13}"
|
578 |
-
|
579 |
-
if VAE_download_task13:
|
580 |
-
subprocess.run(["wget", VAE_url13, "-O", VAE_target13])
|
581 |
-
|
582 |
-
|
583 |
-
# embeddings模型下载
|
584 |
-
# 任务1
|
585 |
-
# _下载任务1_
|
586 |
-
embeddings_download_task1 = True #@param {type:"boolean"}
|
587 |
-
embeddings_url1 = "https://civitai.com/api/download/models/125849"
|
588 |
-
embeddings_destination_folder1 = "/content/ui/embeddings" #@ param {type:"string"}
|
589 |
-
embeddings_filename1 = "bad-hands-5.pt"
|
590 |
-
embeddings_target1 = f'{embeddings_destination_folder1}/{embeddings_filename1}'
|
591 |
-
|
592 |
-
if embeddings_download_task1:
|
593 |
-
subprocess.run(['wget', '-O', embeddings_target1, embeddings_url1])
|
594 |
-
|
595 |
-
# 任务2
|
596 |
-
# _下载任务2_
|
597 |
-
embeddings_download_task2 = False #@param {type:"boolean"}
|
598 |
-
embeddings_url2 = ""
|
599 |
-
embeddings_destination_folder2 = "/content/ui/embeddings" #@ param {type:"string"}
|
600 |
-
embeddings_filename2 = ""
|
601 |
-
embeddings_target2 = f'{embeddings_destination_folder2}/{embeddings_filename2}'
|
602 |
-
|
603 |
-
if embeddings_download_task2:
|
604 |
-
subprocess.run(['wget', '-O', embeddings_target2, embeddings_url2])
|
605 |
-
|
606 |
-
# 任务3
|
607 |
-
# _下载任务3_
|
608 |
-
embeddings_download_task3 = False #@param {type:"boolean"}
|
609 |
-
embeddings_url3 = ""
|
610 |
-
embeddings_destination_folder3 = "/content/ui/embeddings" #@ param {type:"string"}
|
611 |
-
embeddings_filename3 = ""
|
612 |
-
embeddings_target3 = f'{embeddings_destination_folder3}/{embeddings_filename3}'
|
613 |
-
|
614 |
-
if embeddings_download_task3:
|
615 |
-
subprocess.run(['wget', '-O', embeddings_target3, embeddings_url3])
|
616 |
-
|
617 |
-
# 任务4
|
618 |
-
# _下载任务4_
|
619 |
-
embeddings_download_task4 = False #@param {type:"boolean"}
|
620 |
-
embeddings_url4 = ""
|
621 |
-
embeddings_destination_folder4 = "/content/ui/embeddings" #@ param {type:"string"}
|
622 |
-
embeddings_filename4 = ""
|
623 |
-
embeddings_target4 = f'{embeddings_destination_folder4}/{embeddings_filename4}'
|
624 |
-
|
625 |
-
if embeddings_download_task4:
|
626 |
-
subprocess.run(['wget', '-O', embeddings_target4, embeddings_url4])
|
627 |
-
|
628 |
-
# 任务5
|
629 |
-
# _下载任务5_
|
630 |
-
embeddings_download_task5 = False #@param {type:"boolean"}
|
631 |
-
embeddings_url5 = ""
|
632 |
-
embeddings_destination_folder5 = "/content/ui/embeddings" #@ param {type:"string"}
|
633 |
-
embeddings_filename5 = ""
|
634 |
-
embeddings_target5 = f'{embeddings_destination_folder5}/{embeddings_filename5}'
|
635 |
-
|
636 |
-
if embeddings_download_task5:
|
637 |
-
subprocess.run(['wget', '-O', embeddings_target5, embeddings_url5])
|
638 |
-
|
639 |
-
|
640 |
-
|
641 |
-
|
642 |
-
|
643 |
-
#开始运行
|
644 |
-
|
645 |
-
# 初始化变量a、b、c和w的初始值
|
646 |
-
a = ""
|
647 |
-
b = ""
|
648 |
-
c = ""
|
649 |
-
d = ""
|
650 |
-
w = ""
|
651 |
-
|
652 |
-
# 构建变量a
|
653 |
-
a = binascii.unhexlify("737461626c65").decode("ascii")
|
654 |
-
|
655 |
-
# 构建变量b,使其等于a的首字母大写版本
|
656 |
-
b = binascii.unhexlify("537461626c65").decode("ascii")
|
657 |
-
|
658 |
-
# 构建变量c
|
659 |
-
c = binascii.unhexlify("7364").decode("ascii")
|
660 |
-
|
661 |
-
# 构建变量d
|
662 |
-
d = binascii.unhexlify("646966667573696f6e").decode("ascii")
|
663 |
-
|
664 |
-
# 构建变量w
|
665 |
-
w = binascii.unhexlify("7765627569").decode("ascii")
|
666 |
-
|
667 |
-
# %cd /content/ui/
|
668 |
-
|
669 |
-
#python launch.py --listen --xformers --enable-insecure-extension-access --theme dark --gradio-queu --multiple --no-download-sd-model --share
|
670 |
-
#python launch.py --listen --xformers --enable-insecure-extension-access --theme dark --gradio-queue --no-download-sd-model --share
|
671 |
-
|
672 |
-
|
673 |
-
|
674 |
-
# 自定义下载
|
675 |
-
ZDY_Download = False
|
676 |
-
if ZDY_Download:
|
677 |
-
url = "https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors"
|
678 |
-
# _下载链接._
|
679 |
-
Download_destination_folder = ""
|
680 |
-
# _在google云盘中找到想要下载的目标路径右键复制地址._
|
681 |
-
filename = "vae-ft-mse-840000-ema-pruned.safetensors"
|
682 |
-
# _保存的文件名._
|
683 |
-
|
684 |
-
target = f'{destination}/{filename}'
|
685 |
-
|
686 |
-
subprocess.run(['wget', '-O', target, url])
|
687 |
-
|
688 |
-
|
689 |
-
# 下载生成图片到本地
|
690 |
-
Picture_Download = False
|
691 |
-
if Picture_Download:
|
692 |
-
from google.colab import files
|
693 |
-
|
694 |
-
subprocess.run(['zip', '-r', '/content/outputs.zip', '/content/{a}-d-w/outputs'])
|
695 |
-
files.download('/content/outputs.zip')
|
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