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ACCA225
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Kaggle-Stable-Diffusion

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ACCA225 commited on Jun 16, 2023

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+ {"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.10","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"\n## NovelAi sd-webui AI绘画项目修复版（完全免费，无需任何配置！）\n**torch: 2.0.0+cu118 • xformers: 0.0.19**\n\n# <span style=\"color:red; font-weight:bold;\">有问题请加qq群632428790 (691/2000)</span>\n### 急需一名宣传人员，无偿，会做B站视频就行","metadata":{}},{"cell_type":"markdown","source":"## 使用教程：https://www.kaggle.com/code/at2020dead/novelai-stable-diffusion/notebook \n","metadata":{}},{"cell_type":"markdown","source":"\n<div class=\"alert alert-block alert-info\" style=\"font-size:14px; font-family:verdana;\">\n 📌 2022年11月18日: Crtated By Yiyiooo & Loading\n</div>\n最近更新日志：\n<div class=\"alert alert-block alert-info\" style=\"font-size:14px; font-family:verdana;\">\n 2023年3月5日更新：现在支持通过下载链接上传模型了，省去了下载模型后再上传后的麻烦.（）\n</div>\n<div class=\"alert alert-block alert-info\" style=\"font-size:14px; font-family:verdana;\">\n 2023年5月15日更新：现在可以双开webui了，可以双线程跑图（GPU请选择 T4 x2 ，将use2设置为True）\n</div>\n<div class=\"alert alert-block alert-info\" style=\"font-size:14px; font-family:verdana;\">\n 2023年5月15日更新：更新了多线程启动，启动速度更快一些\n</div>\n<div class=\"alert alert-block alert-info\" style=\"font-size:14px; font-family:verdana;\">\n 2023年6月6日更新：更新了xformers版本，生成速度更快一些\n</div>","metadata":{}},{"cell_type":"markdown","source":"# 注意事项/WARNING：\n- ### 1.将设置中的PERSISTENCE改为Files Only方便下次打开提高启动速度，第一次启动后下载Python环境包就不用下载第二次了\n- ### 2.检测到出现涩图会容易导致封号现象，建议到webui设置里把'始终保存所有生成的图像'和‘始终保存所有生成的宫格图’关了\n- ### 3.如果不能启动，请新建一个notebook并且重新导入\n- ### 4.若出现BUG，请跟我们反馈，我们是无偿组织，请不要催作者更新，谢谢配合","metadata":{}},{"cell_type":"markdown","source":"## Ai绘画模型下载站：\n#### [Civitai](http://civitai.com)\n \n#### [huggingface](http://huggingface.co)\n# 友情合作\n### [pix.ink](http://pix.ink) ","metadata":{}},{"cell_type":"code","source":"# 安装目录\ninstall_path=\"/kaggle/working\" #或者/kaggle\nupdata_webui = False #是否开机自动更新webui\n\n# 重置变量会删掉sd_webui重新安装\nreLoad = False\nupdata_webui = False\n\n#清理和打包生成的图片\nzip_output=True\nclear_output=True\n#打包环境减少下次启动时\nuse_zip_venv = False\n\n# 使用huggingface保存和载入webui配置文件\nhuggingface_use = True\nhuggingface_token_file = '/kaggle/input/tenkens/hugfacetoken.txt'\nhuggiingface_repo_id = 'ACCA225/sdconfig'\n# 将会同步的文件\nyun_files = [\n'ui-config.json',\n'config.json',\n'styles.csv'\n]","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.525502Z","iopub.execute_input":"2023-06-06T13:31:46.526376Z","iopub.status.idle":"2023-06-06T13:31:46.542665Z","shell.execute_reply.started":"2023-06-06T13:31:46.526340Z","shell.execute_reply":"2023-06-06T13:31:46.541657Z"},"trusted":true},"execution_count":1,"outputs":[]},{"cell_type":"code","source":"#模型和插件\n\n# 插件列表： git仓库地址\n# 不需要的插件在前面加 # ，插件地址之间需要用英语逗号隔开\nextensions = [\n 'https://github.com/Elldreth/loopback_scaler',\n 'https://github.com/jexom/sd-webui-depth-lib',\n #'https://github.com/AlUlkesh/stable-diffusion-webui-images-browser',\n 'https://github.com/camenduru/sd-civitai-browser',\n 'https://github.com/Mikubill/sd-webui-controlnet',\n 'https://github.com/nonnonstop/sd-webui-3d-open-pose-editor',\n 'https://github.com/dtlnor/stable-diffusion-webui-localization-zh_CN',\n 'https://github.com/opparco/stable-diffusion-webui-two-shot',\n #'https://github.com/minicacas/stable-diffusion-webui-composable-lora',\n 'https://github.com/DominikDoom/a1111-sd-webui-tagcomplete',\n 'https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111',\n #'https://github.com/KohakuBlueleaf/a1111-sd-webui-locon',\n 'https://github.com/hnmr293/sd-webui-cutoff',\n 'https://github.com/hako-mikan/sd-webui-lora-block-weight',\n 'https://github.com/butaixianran/Stable-Diffusion-Webui-Civitai-Helper',\n 'https://github.com/catppuccin/stable-diffusion-webui',\n #'https://github.com/Nevysha/Cozy-Nest',\n 'https://github.com/Scholar01/sd-webui-mov2mov',\n 'https://github.com/toriato/stable-diffusion-webui-wd14-tagger',\n 'https://github.com/Physton/sd-webui-prompt-all-in-one',\n 'https://github.com/KohakuBlueleaf/a1111-sd-webui-lycoris',\n #'https://github.com/deforum-art/sd-webui-deforum',\n 'https://github.com/Scholar01/sd-webui-mov2mov',\n 'https://github.com/zanllp/sd-webui-infinite-image-browsing',\n]\n\n# Stable Diffusion模型请放在这里（不用填模型的文件名，只填模型的目录即可）\nsd_model = [\n#'/kaggle/input/cetus-mix/',\n#'/kaggle/input/aom3ackpt',\n'/kaggle/input/9527-fp16',\n#'/kaggle/input/dalcefo-painting',\n ]\n# Stable Diffusion模型下载链接放这里\nsd_model_urls=[\n#GhostMix_v1.2\n'https://civitai.com/api/download/models/59685',\n'https://huggingface.co/swl-models/9527/resolve/main/9527-non-ema-fp16.safetensors',\n#Counterfeit-V3.0\n'https://civitai.com/api/download/models/57618',\n#LibraMix\n'https://civitai.com/api/download/models/41391',\n'https://huggingface.co/datasets/sukaka/sd_models_fp16/resolve/main/cetusMix_Coda2.safetensors',\n'https://huggingface.co/datasets/sukaka/sd_models_fp16/resolve/main/cetusMix_Version35.safetensors',\n\n]\n\n# VAE模型请放在这里（不用填模型的文件名，只填模型的目录即可）\nvae_model = []\n#VAE模型下载链接放这里\nvae_model_urls=[\n'https://huggingface.co/stabilityai/sd-vae-ft-ema-original/resolve/main/vae-ft-ema-560000-ema-pruned.safetensors',\n'https://huggingface.co/datasets/sukaka/sd_models_fp16/resolve/main/clearvae.vae.pt',\n'https://huggingface.co/datasets/sukaka/sd_models_fp16/resolve/main/klF8Anime2.vae.pt',\n'https://huggingface.co/dector/vae-840000/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt'\n]\n\n# Lora模型的数据集路径请写在这里：\nlora_model = [\n#'/kaggle/input/lora-1',\n] \n# Lora模型下载链接放这里\nlora_model_urls=[\n#墨心\n'https://civitai.com/api/download/models/14856',\n#山楂糕\n'https://civitai.com/api/download/models/41580',\n#细节调整\n'https://civitai.com/api/download/models/62833'\n]\n# Lycoris和loha模型的数据集路径请写在这里：\nlyco_model = [\n#'/kaggle/input/lora-1',\n] \n# Lycoris和loha模型下载链接放这里\nlyco_model_urls=[\n#FilmGirl 胶片风\n'https://civitai.com/api/download/models/75069',\n#Teacher clothes 教师衣服\n\"https://civitai.com/api/download/models/65426\",\n#伪日光\n'https://civitai.com/api/download/models/71235'\n]\n\n# ControlNet模型data请放在这里：\ncn_model = [\n]\n# controlnet模型下载链接放这里\ncn_model_urls = [\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_canny_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_lineart_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_openpose_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_scribble_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_softedge_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors',\n'https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11u_sd15_tile_fp16.safetensors',\n]\n\n# Hypernetworks超网络模型路径请放在这里：\nhypernetworks_model = []\n#Hypernetworks超网络模型下载链接请放在这里\nhypernetworks_model_urls = []\n\n#放大算法路径请放在这里\nESRGAN = []\n#放大算法链接请放在这里\nESRGAN_urls = [\n'https://huggingface.co/FacehugmanIII/4x_foolhardy_Remacri/resolve/main/4x_foolhardy_Remacri.pth',\n'https://huggingface.co/konohashinobi4/4xAnimesharp/resolve/main/4x-AnimeSharp.pth',\n'https://huggingface.co/lokCX/4x-Ultrasharp/resolve/main/4x-UltraSharp.pth',\n]\n\n# embeddings（pt文件）请放在这里:\nembeddings_model = [\n'/kaggle/input/bad-embedding',\n] \n# embeddings（pt文件）下载链接请放在这里:\nembeddings_model_urls=[\n'https://huggingface.co/datasets/sukaka/sd_configs/resolve/main/%E4%BA%BA%E4%BD%93%E4%BF%AE%E6%AD%A3/EasyNegative.pt',\n'https://huggingface.co/datasets/sukaka/sd_configs/resolve/main/%E4%BA%BA%E4%BD%93%E4%BF%AE%E6%AD%A3/bad-artist-anime.pt',\n'https://huggingface.co/datasets/sukaka/sd_configs/resolve/main/%E4%BA%BA%E4%BD%93%E4%BF%AE%E6%AD%A3/bad-hands-5.pt',\n'https://huggingface.co/datasets/sukaka/sd_configs/resolve/main/%E4%BA%BA%E4%BD%93%E4%BF%AE%E6%AD%A3/bad_prompt_version2.pt',\n'https://huggingface.co/datasets/sukaka/sd_configs/resolve/main/%E4%BA%BA%E4%BD%93%E4%BF%AE%E6%AD%A3/bad-image-v2-39000.pt',\n]\n\n#script文件导入\nscripts = []\n#script文件下载链接导入\nscripts_urls = [\n'https://huggingface.co/datasets/sukaka/sd_configs/resolve/main/repositories/k-diffusion/k_diffusion/sampling.py'\n]\n\n#tag词库文件导入\ntags = []\n#tag词库文件下载链接导入\ntags_urls=[\n\"https://huggingface.co/datasets/sukaka/sd_configs/resolve/main/danbooru.zh_CN.csv\",\n]\n","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.546557Z","iopub.execute_input":"2023-06-06T13:31:46.547389Z","iopub.status.idle":"2023-06-06T13:31:46.562867Z","shell.execute_reply.started":"2023-06-06T13:31:46.547353Z","shell.execute_reply":"2023-06-06T13:31:46.561790Z"},"trusted":true},"execution_count":2,"outputs":[]},{"cell_type":"code","source":"#ngrok穿透\nngrok_use = True\nngrokTokenFile='/kaggle/input/tenkens/Authtoken.txt' # 非必填存放ngrokToken的文件的路径\n#Frp 内网穿透\nuse_frpc = False\nfrpconfigfile = '/kaggle/input/tenkens/7860.ini' # 非必填 frp 配置文件，本地端口 7860\n\n# 启动时默认加载的模型名称填模型名称，名称建议带上文件名后缀\nusedCkpt = 'cetusMix_Coda2.safetensors'\n\n#启动参数\nargs = [\n '--share',\n '--xformers',\n '--lowram',\n '--no-hashing',\n '--disable-nan-check',\n '--enable-insecure-extension-access',\n '--disable-console-progressbars',\n '--enable-console-prompts',\n '--no-gradio-queue',\n '--no-half-vae',\n '--api',\n f'--lyco-dir {install_path}/models/lyco',\n]","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.565625Z","iopub.execute_input":"2023-06-06T13:31:46.566538Z","iopub.status.idle":"2023-06-06T13:31:46.577054Z","shell.execute_reply.started":"2023-06-06T13:31:46.566489Z","shell.execute_reply":"2023-06-06T13:31:46.576054Z"},"trusted":true},"execution_count":3,"outputs":[]},{"cell_type":"code","source":"use2 = False#是否开启两个webui\n#ngrok穿透\nngrok_use1 = True\nngrokTokenFile1='/kaggle/input/tenkens/Authtoken1.txt' # 非必填存放ngrokToken的文件的路径\n#Frp 内网穿透\nuse_frpc1 = False\nfrpconfigfile1 = '/kaggle/input/tenkens/7861.ini' # 非必填 frp 配置文件，本地端口 7860\n\n#第二个webui使用的模型\nusedCkpt1 = 'cetusMix_Coda2.safetensors'\n\n#启动参数\nargs1 = [\n '--share',\n '--xformers',\n '--lowram',\n '--no-hashing',\n '--disable-nan-check',\n '--enable-insecure-extension-access',\n '--disable-console-progressbars',\n '--enable-console-prompts',\n '--no-gradio-queue',\n '--no-half-vae',\n '--api',\n f'--lyco-dir {install_path}/models/lyco',\n]","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.580945Z","iopub.execute_input":"2023-06-06T13:31:46.581718Z","iopub.status.idle":"2023-06-06T13:31:46.590885Z","shell.execute_reply.started":"2023-06-06T13:31:46.581685Z","shell.execute_reply":"2023-06-06T13:31:46.589987Z"},"trusted":true},"execution_count":4,"outputs":[]},{"cell_type":"code","source":"#使用的库\nfrom pathlib import Path\nimport subprocess\nimport pandas as pd\nimport shutil\nimport os\nimport time\nimport re\nimport gc\nimport requests\nimport zipfile\nfrom concurrent.futures import ProcessPoolExecutor\nos.environ['install_path'] = install_path","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.592528Z","iopub.execute_input":"2023-06-06T13:31:46.592964Z","iopub.status.idle":"2023-06-06T13:31:46.604934Z","shell.execute_reply.started":"2023-06-06T13:31:46.592932Z","shell.execute_reply":"2023-06-06T13:31:46.603982Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"code","source":"#功能函数，内存优化\ndef libtcmalloc():\n if os.path.exists('/kaggle/temp'):\n os.chdir('/kaggle')\n os.chdir('temp')\n os.environ[\"LD_PRELOAD\"] = \"libtcmalloc.so\"\n print('内存优化已安装')\n else:\n \n if use_frpc:\n !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/datasets/ACCA225/Frp/resolve/main/frpc -d /kaggle/working/frpc -o frpc\n os.system('pip install -q pyngrok ')\n os.chdir('/kaggle')\n os.makedirs('temp', exist_ok=True)\n os.chdir('temp')\n os.system('wget -qq http://launchpadlibrarian.net/367274644/libgoogle-perftools-dev_2.5-2.2ubuntu3_amd64.deb')\n os.system('wget -qq https://launchpad.net/ubuntu/+source/google-perftools/2.5-2.2ubuntu3/+build/14795286/+files/google-perftools_2.5-2.2ubuntu3_all.deb')\n os.system('wget -qq https://launchpad.net/ubuntu/+source/google-perftools/2.5-2.2ubuntu3/+build/14795286/+files/libtcmalloc-minimal4_2.5-2.2ubuntu3_amd64.deb')\n os.system('wget -qq https://launchpad.net/ubuntu/+source/google-perftools/2.5-2.2ubuntu3/+build/14795286/+files/libgoogle-perftools4_2.5-2.2ubuntu3_amd64.deb')\n os.system('apt install -qq libunwind8-dev -y')\n !dpkg -i *.deb\n os.environ[\"LD_PRELOAD\"] = \"libtcmalloc.so\"\n !rm *.deb\n print('内存优化已安装')","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.638634Z","iopub.execute_input":"2023-06-06T13:31:46.639329Z","iopub.status.idle":"2023-06-06T13:31:46.656693Z","shell.execute_reply.started":"2023-06-06T13:31:46.639297Z","shell.execute_reply":"2023-06-06T13:31:46.655745Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"code","source":"#功能函数，环境和sd_webui安装\ndef unzip_file(src: str, dest: str = '/kaggle/outputs'):\n if os.path.exists(src):\n with zipfile.ZipFile(src, 'r') as zip_ref:\n for member in zip_ref.namelist():\n filename = os.path.basename(member)\n if not filename:\n continue\n dest_file = os.path.join(dest, filename)\n if os.path.exists(dest_file):\n os.remove(dest_file)\n zip_ref.extract(member, dest)\n\ndef webui_config_download(yun_files, huggiingface_repo_id):\n %cd $install_path/stable-diffusion-webui/\n for yun_file in yun_files:\n url = f'https://huggingface.co/datasets/{huggiingface_repo_id}/resolve/main/{yun_file}'\n response = requests.head(url)\n if response.status_code == 200:\n result = subprocess.run(['wget', '-O', yun_file, url, '-q'], capture_output=True)\n if result.returncode != 0:\n print(f'Error: Failed to download {yun_file} from {url}')\n else:\n print(f'Error: Invalid URL {url}')\n \ndef venv_install():\n %cd /opt/conda/envs\n if os.path.exists('venv'):\n print('环境已安装')\n else:\n %cd /kaggle/working/\n if not os.path.exists('venv.tar.gz'):\n print('环境包下载中')\n !wget https://huggingface.co/datasets/sukaka/venv_ai_drow/resolve/main/sd_webui/sd_webui_torch201_cu118_xf20.tar.gz -O venv.tar.gz\n print('环境包已下载')\n %cd /opt/conda/envs/\n !mkdir venv\n %cd venv\n print('环境安装中')\n os.system('apt -y install -qq pigz > /dev/null 2>&1')\n !pigz -dc -p 5 /kaggle/working/venv.tar.gz | tar xf -\n !source /opt/conda/bin/activate venv\n print('环境安装完毕')\n\n#安装webui\ndef install_webui():\n %cd $install_path\n if reLoad:\n !rm -rf stable-diffusion-webui\n if Path(\"stable-diffusion-webui\").exists():\n if updata_webui:\n %cd $install_path/stable-diffusion-webui/\n !git pull\n print('stable-diffusion-webui已安装')\n else:\n print('stable-diffusion-webui安装中')\n #Download Automatic1111's Stable Diffusion Web UI\n !git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui\n %cd $install_path/stable-diffusion-webui/\n #Use lastest version\n !git checkout 20ae71faa8ef035c31aa3a410b707d792c8203a3\n with open('launch.py', 'r') as f:\n content = f.read()\n with open('launch.py', 'w') as f:\n f.write('import ssl\\n')\n f.write('ssl._create_default_https_context = ssl._create_unverified_context\\n')\n f.write(content)\n print('stable-diffusion-webui已安装')\n if huggingface_use:\n webui_config_download(yun_files, huggiingface_repo_id)\n \n unzip_file('/kaggle/working/图片.zip')\n install_extensions(install_path, extensions)\n download_model()\n link_models()","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.662694Z","iopub.execute_input":"2023-06-06T13:31:46.663280Z","iopub.status.idle":"2023-06-06T13:31:46.803906Z","shell.execute_reply.started":"2023-06-06T13:31:46.663234Z","shell.execute_reply":"2023-06-06T13:31:46.802897Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"from concurrent.futures import ThreadPoolExecutor\n# 安装插件，下载和同步模型\ndef install_extensions(install_path, extensions):\n print('安装插件，此处出现红条是正常的')\n os.chdir(os.path.join(install_path, 'stable-diffusion-webui'))\n os.makedirs('extensions', exist_ok=True)\n os.chdir('extensions')\n\n def clone_repo(ex):\n repo_name = ex.split('/')[-1]\n if not os.path.exists(repo_name):\n os.system('git clone ' + ex)\n\n with ThreadPoolExecutor(max_workers=4) as executor:\n executor.map(clone_repo, extensions)\n \ndef download_link(link, target_folder):\n if link.startswith('https://huggingface.co/'):\n filename = re.search(r'[^/]+$', link).group(0)\n return f'aria2c --console-log-level=error -q -c -x 16 -s 16 -k 1M -d \"{target_folder}\" -o \"{filename}\" \"{link}\"'\n else:\n return f'aria2c --console-log-level=error -q -c -x 16 -s 16 -k 1M --remote-time -d \"{target_folder}\" \"{link}\"'\n\ndef download_links(links, target_folder):\n tasks = []\n for link in links:\n tasks.append(download_link(link, target_folder))\n return tasks\n\ndef download_links_all(tasks):\n with ThreadPoolExecutor(max_workers=5) as executor:\n for task in tasks:\n executor.submit(os.system, task)\n \n# 下载模型文件\ndef download_model():\n os.chdir('/kaggle')\n os.makedirs('models', exist_ok=True)\n os.chdir('models')\n os.makedirs('VAE', exist_ok=True)\n os.makedirs('Stable-diffusion', exist_ok=True)\n os.makedirs('Lora', exist_ok=True)\n os.makedirs('cn-model', exist_ok=True)\n os.makedirs('hypernetworks', exist_ok=True)\n os.makedirs('ESRGAN', exist_ok=True)\n os.makedirs('lyco', exist_ok=True)\n tasks = []\n tasks.extend(download_links(vae_model_urls, 'VAE'))\n tasks.extend(download_links(sd_model_urls, 'Stable-diffusion'))\n tasks.extend(download_links(lora_model_urls, 'Lora'))\n tasks.extend(download_links(cn_model_urls, 'cn-model'))\n tasks.extend(download_links(hypernetworks_model_urls, 'hypernetworks'))\n tasks.extend(download_links(ESRGAN_urls, 'ESRGAN'))\n tasks.extend(download_links(lyco_model_urls, 'lyco'))\n tasks.extend(download_links(embeddings_model_urls, f'{install_path}/stable-diffusion-webui/embeddings'))\n tasks.extend(download_links(scripts_urls, f'{install_path}/stable-diffusion-webui/scripts'))\n tasks.extend(download_links(tags_urls, f'{install_path}/stable-diffusion-webui/extensions/a1111-sd-webui-tagcomplete/tags'))\n download_links_all(tasks)\n\ndef create_symlinks(folder_paths, target_dir):\n # Create target directory if it doesn't exist\n if not os.path.exists(target_dir):\n os.makedirs(target_dir)\n # Remove broken symlinks in target directory\n for filename in os.listdir(target_dir):\n target_path = os.path.join(target_dir, filename)\n if os.path.islink(target_path) and not os.path.exists(target_path):\n os.unlink(target_path)\n # Create new symlinks\n for source_path in folder_paths:\n if not os.path.exists(source_path):\n continue\n if os.path.isdir(source_path):\n for filename in os.listdir(source_path):\n source_file_path = os.path.join(source_path, filename)\n target_file_path = os.path.join(target_dir, filename)\n if not os.path.exists(target_file_path):\n os.symlink(source_file_path, target_file_path)\n print(f'Created symlink for {filename} in {target_dir}')\n else:\n filename = os.path.basename(source_path)\n target_file_path = os.path.join(target_dir, filename)\n if not os.path.exists(target_file_path):\n os.symlink(source_path, target_file_path)\n print(f'Created symlink for {filename} in {target_dir}')\n\n# 链接模型文件\ndef link_models():\n cn_model.append('/kaggle/models/cn-model')\n vae_model.append('/kaggle/models/VAE')\n sd_model.append('/kaggle/models/Stable-diffusion')\n lora_model.append('/kaggle/models/Lora')\n hypernetworks_model.append('/kaggle/models/hypernetworks')\n ESRGAN.append('/kaggle/models/ESRGAN')\n lyco_model.append('/kaggle/models/lyco')\n \n create_symlinks(vae_model,f'{install_path}/stable-diffusion-webui/models/VAE')\n create_symlinks(sd_model,f'{install_path}/stable-diffusion-webui/models/Stable-diffusion')\n create_symlinks(lora_model,f'{install_path}/stable-diffusion-webui/models/Lora')\n create_symlinks(cn_model,f'{install_path}/stable-diffusion-webui/extensions/sd-webui-controlnet/models')\n create_symlinks(embeddings_model,f'{install_path}/stable-diffusion-webui/embeddings')\n create_symlinks(hypernetworks_model,f'{install_path}/stable-diffusion-webui/models/hypernetworks')\n create_symlinks(ESRGAN,f'{install_path}/stable-diffusion-webui/models/ESRGAN')\n create_symlinks(tags,f'{install_path}/stable-diffusion-webui/extensions/a1111-sd-webui-tagcomplete/tags')\n create_symlinks(scripts,f'{install_path}/stable-diffusion-webui/scripts')\n create_symlinks(lyco_model,f'{install_path}/stable-diffusion-webui/models/lyco')\n","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.806411Z","iopub.execute_input":"2023-06-06T13:31:46.807018Z","iopub.status.idle":"2023-06-06T13:31:46.833796Z","shell.execute_reply.started":"2023-06-06T13:31:46.806981Z","shell.execute_reply":"2023-06-06T13:31:46.832760Z"},"trusted":true},"execution_count":8,"outputs":[]},{"cell_type":"code","source":"# 功能函数：内网穿透\n#ngrok\ndef ngrok_start(ngrokTokenFile: str, port: int, address_name: str, should_run: bool):\n if not should_run:\n print('Skipping ngrok start')\n return\n if Path(ngrokTokenFile).exists():\n with open(ngrokTokenFile, encoding=\"utf-8\") as nkfile:\n ngrokToken = nkfile.readline()\n print('use nrgok')\n from pyngrok import conf, ngrok\n conf.get_default().auth_token = ngrokToken\n conf.get_default().monitor_thread = False\n ssh_tunnels = ngrok.get_tunnels(conf.get_default())\n if len(ssh_tunnels) == 0:\n ssh_tunnel = ngrok.connect(port, bind_tls=True)\n print(f'{address_name}：' + ssh_tunnel.public_url)\n else:\n print(f'{address_name}：' + ssh_tunnels[0].public_url)\n else:\n print('skip start ngrok')\n\n#Frp内网穿透 \nimport subprocess\n\ndef install_Frpc(port, frpconfigfile, use_frpc):\n if use_frpc:\n subprocess.run(['chmod', '+x', '/kaggle/working/frpc/frpc'], check=True)\n print(f'正在启动frp ，端口{port}')\n subprocess.Popen(['/kaggle/working/frpc/frpc', '-c', frpconfigfile])\n","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.835356Z","iopub.execute_input":"2023-06-06T13:31:46.836148Z","iopub.status.idle":"2023-06-06T13:31:46.848925Z","shell.execute_reply.started":"2023-06-06T13:31:46.836114Z","shell.execute_reply":"2023-06-06T13:31:46.847899Z"},"trusted":true},"execution_count":9,"outputs":[]},{"cell_type":"code","source":"#sd_webui启动\ndef start_webui_1():\n if use2:\n install_Frpc('7861',frpconfigfile1,use_frpc1)\n ngrok_start(ngrokTokenFile1,7861,'第二个webui',ngrok_use1)\n !sleep 90\n %cd $install_path/stable-diffusion-webui\n args1.append(f'--ckpt=models/Stable-diffusion/{usedCkpt1}')\n !/opt/conda/envs/venv/bin/python3 launch.py {' '.join(args1)} --port 7861 --device-id=1\n pass\n\ndef start_webui_0():\n %cd $install_path\n install_Frpc('7860',frpconfigfile,use_frpc)\n ngrok_start(ngrokTokenFile,7860,'第一个webui',ngrok_use)\n %cd $install_path/stable-diffusion-webui\n !mkdir models/lyco\n args.append(f'--ckpt=models/Stable-diffusion/{usedCkpt}')\n !/opt/conda/envs/venv/bin/python3 launch.py {' '.join(args)}\n \ndef start_webui():\n with ProcessPoolExecutor() as executor:\n futures = []\n for func in [start_webui_0, start_webui_1]:\n futures.append(executor.submit(func))\n time.sleep(1)\n for future in futures:\n future.result()","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.850524Z","iopub.execute_input":"2023-06-06T13:31:46.850990Z","iopub.status.idle":"2023-06-06T13:31:46.880599Z","shell.execute_reply.started":"2023-06-06T13:31:46.850959Z","shell.execute_reply":"2023-06-06T13:31:46.879664Z"},"trusted":true},"execution_count":10,"outputs":[]},{"cell_type":"code","source":"def main():\n startTicks = time.time()\n os.system{'apt-get update'}\n os.system('apt -y install -qq aria2')\n with ProcessPoolExecutor() as executor:\n futures = []\n for func in [install_webui, venv_install,libtcmalloc]:\n futures.append(executor.submit(func))\n time.sleep(0.5)\n for future in futures:\n future.result()\n libtcmalloc()\n ticks = time.time()\n print(\"加载耗时:\",(ticks - startTicks),\"s\")\n start_webui()","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.884930Z","iopub.execute_input":"2023-06-06T13:31:46.885282Z","iopub.status.idle":"2023-06-06T13:31:46.894440Z","shell.execute_reply.started":"2023-06-06T13:31:46.885258Z","shell.execute_reply":"2023-06-06T13:31:46.893449Z"},"trusted":true},"execution_count":11,"outputs":[]},{"cell_type":"code","source":"#功能函数，清理打包上传\nfrom pathlib import Path\nfrom huggingface_hub import HfApi, login\n\ndef zip_venv():\n !pip install conda-pack\n !rm -rf /kaggle/working/venv.tar.gz\n !conda pack -n venv -o /kaggle/working/venv.tar.gz --compress-level 0\n\ndef hugface_upload(huggingface_token_file, yun_files, repo_id):\n if Path(huggingface_token_file).exists():\n with open(huggingface_token_file, encoding=\"utf-8\") as nkfile:\n hugToken = nkfile.readline()\n if hugToken != '':\n # 使用您的 Hugging Face 访问令牌登录\n login(token=hugToken)\n # 实例化 HfApi 类\n api = HfApi()\n print(\"HfApi 类已实例化\")\n %cd $install_path/stable-diffusion-webui\n # 使用 upload_file() 函数上传文件\n print(\"开始上传文件...\")\n for yun_file in yun_files:\n if Path(yun_file).exists():\n response = api.upload_file(\n path_or_fileobj=yun_file,\n path_in_repo=yun_file,\n repo_id=repo_id,\n repo_type=\"dataset\"\n )\n print(\"文件上传完成\")\n print(f\"响应: {response}\")\n else:\n print(f'Error: File {yun_file} does not exist')\n else:\n print(f'Error: File {huggingface_token_file} does not exist')\n\ndef clean_folder(folder_path):\n if not os.path.exists(folder_path):\n return\n for filename in os.listdir(folder_path):\n file_path = os.path.join(folder_path, filename)\n if os.path.isfile(file_path):\n os.remove(file_path)\n elif os.path.isdir(file_path):\n shutil.rmtree(file_path)\n\ndef zip_clear_updata():\n if zip_output:\n output_folder = '/kaggle/outputs/'\n if os.path.exists(output_folder):\n shutil.make_archive('/kaggle/working/图片', 'zip', output_folder)\n print('图片已压缩到output')\n else:\n print(f'文件夹 {output_folder} 不存在，跳过压缩操作')\n if clear_output:\n %cd /kaggle/outputs/\n clean_folder('img2img-images')\n clean_folder('txt2img-images')\n clean_folder('img2img-grids')\n clean_folder('txt2img-grids')\n clean_folder('extras-images')\n print('清理完毕')\n if huggingface_use == True:\n hugface_upload(huggingface_token_file,yun_files,huggiingface_repo_id)\n if use_zip_venv == True:\n zip_venv()","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:31:46.896912Z","iopub.execute_input":"2023-06-06T13:31:46.897858Z","iopub.status.idle":"2023-06-06T13:31:47.215286Z","shell.execute_reply.started":"2023-06-06T13:31:46.897806Z","shell.execute_reply":"2023-06-06T13:31:47.214328Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"code","source":"# start\nmain()","metadata":{"_kg_hide-input":true,"_kg_hide-output":false,"execution":{"iopub.status.busy":"2023-06-06T13:31:47.216771Z","iopub.execute_input":"2023-06-06T13:31:47.217158Z","iopub.status.idle":"2023-06-06T13:40:24.664600Z","shell.execute_reply.started":"2023-06-06T13:31:47.217124Z","shell.execute_reply":"2023-06-06T13:40:24.661769Z"},"trusted":true},"execution_count":13,"outputs":[{"name":"stderr","text":"\nWARNING: apt does not have a stable CLI interface. Use with caution in scripts.\n\n","output_type":"stream"},{"name":"stdout","text":"The following additional packages will be installed:\n libaria2-0 libc-ares2 libssh2-1\nThe following NEW packages will be installed:\n aria2 libaria2-0 libc-ares2 libssh2-1\n","output_type":"stream"},{"name":"stderr","text":"dpkg-preconfigure: unable to re-open stdin: No such file or directory\n","output_type":"stream"},{"name":"stdout","text":"0 upgraded, 4 newly installed, 0 to remove and 28 not upgraded.\nNeed to get 1622 kB of archives.\nAfter this operation, 5817 kB of additional disk space will be used.\nSelecting previously unselected package libc-ares2:amd64.\n(Reading database ... 115376 files and directories currently installed.)\nPreparing to unpack .../libc-ares2_1.18.1-1ubuntu0.22.04.1_amd64.deb ...\nUnpacking libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.1) ...\nSelecting previously unselected package libssh2-1:amd64.\nPreparing to unpack .../libssh2-1_1.10.0-3_amd64.deb ...\nUnpacking libssh2-1:amd64 (1.10.0-3) ...\nSelecting previously unselected package libaria2-0:amd64.\nPreparing to unpack .../libaria2-0_1.36.0-1_amd64.deb ...\nUnpacking libaria2-0:amd64 (1.36.0-1) ...\nSelecting previously unselected package aria2.\nPreparing to unpack .../aria2_1.36.0-1_amd64.deb ...\nUnpacking aria2 (1.36.0-1) ...\nSetting up libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.1) ...\nSetting up libssh2-1:amd64 (1.10.0-3) ...\nSetting up libaria2-0:amd64 (1.36.0-1) ...\nSetting up aria2 (1.36.0-1) ...\nProcessing triggers for man-db (2.10.2-1) ...\nProcessing triggers for libc-bin (2.35-0ubuntu3.1) ...\n/kaggle/working\nstable-diffusion-webui安装中\n/opt/conda/envs\n/kaggle/working\n环境包下载中\nCloning into 'stable-diffusion-webui'...\n--2023-06-06 13:31:56-- https://huggingface.co/datasets/sukaka/venv_ai_drow/resolve/main/sd_webui/sd_webui_torch201_cu118_xf20.tar.gz\nResolving huggingface.co (huggingface.co)... 18.172.170.36, 18.172.170.44, 18.172.170.14, ...\nConnecting to huggingface.co (huggingface.co)|18.172.170.36|:443... connected.\nHTTP request sent, awaiting response... 302 Found\nLocation: https://cdn-lfs.huggingface.co/repos/93/61/936160f9623602ad97a9fe4c639531b59f4fe39854fcc22d75692344fb5dfbe2/609336a63928c38f99b0f842dd5d08e1bf255a8add61cbe82301ca5611831b34?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27sd_webui_torch201_cu118_xf20.tar.gz%3B+filename%3D%22sd_webui_torch201_cu118_xf20.tar.gz%22%3B&response-content-type=application%2Fgzip&Expires=1686317516&Policy=eyJTdGF0ZW1lbnQiOlt7IlJlc291cmNlIjoiaHR0cHM6Ly9jZG4tbGZzLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzkzLzYxLzkzNjE2MGY5NjIzNjAyYWQ5N2E5ZmU0YzYzOTUzMWI1OWY0ZmUzOTg1NGZjYzIyZDc1NjkyMzQ0ZmI1ZGZiZTIvNjA5MzM2YTYzOTI4YzM4Zjk5YjBmODQyZGQ1ZDA4ZTFiZjI1NWE4YWRkNjFjYmU4MjMwMWNhNTYxMTgzMWIzND9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoiLCJDb25kaXRpb24iOnsiRGF0ZUxlc3NUaGFuIjp7IkFXUzpFcG9jaFRpbWUiOjE2ODYzMTc1MTZ9fX1dfQ__&Signature=LwdrbEvX1FsAqiCMdTpr0MpZSEMQNNbdeFdUntUzSm0wgYI4id719q7A7SQsLFDp1Nxem0qv1SWZUOp56Rn4dDMLBompEERivj0WIDqUueRmZfBvVK6YevuBeACN4Vc8XGtepe0XDJdfRf3fbeAmOwzAClyVbwAvrbXm6vCREihObTNQ4-SOTR2Lps6vWXn1K-z%7EhbUVAINqrFC1mNsRLcUYGx8ZHCiQA%7Ez35UiOURAONM-0myvcZlM0wZQRy819DJsD5q1SSfe27yyO262PkWt4dv0ra%7EmqLcP1msDNmyB2%7E%7EgRCKPTFX-r4SO0Il7WvtoupBEuqjou7LLyWzh2UA__&Key-Pair-Id=KVTP0A1DKRTAX [following]\n--2023-06-06 13:31:56-- https://cdn-lfs.huggingface.co/repos/93/61/936160f9623602ad97a9fe4c639531b59f4fe39854fcc22d75692344fb5dfbe2/609336a63928c38f99b0f842dd5d08e1bf255a8add61cbe82301ca5611831b34?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27sd_webui_torch201_cu118_xf20.tar.gz%3B+filename%3D%22sd_webui_torch201_cu118_xf20.tar.gz%22%3B&response-content-type=application%2Fgzip&Expires=1686317516&Policy=eyJTdGF0ZW1lbnQiOlt7IlJlc291cmNlIjoiaHR0cHM6Ly9jZG4tbGZzLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzkzLzYxLzkzNjE2MGY5NjIzNjAyYWQ5N2E5ZmU0YzYzOTUzMWI1OWY0ZmUzOTg1NGZjYzIyZDc1NjkyMzQ0ZmI1ZGZiZTIvNjA5MzM2YTYzOTI4YzM4Zjk5YjBmODQyZGQ1ZDA4ZTFiZjI1NWE4YWRkNjFjYmU4MjMwMWNhNTYxMTgzMWIzND9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoiLCJDb25kaXRpb24iOnsiRGF0ZUxlc3NUaGFuIjp7IkFXUzpFcG9jaFRpbWUiOjE2ODYzMTc1MTZ9fX1dfQ__&Signature=LwdrbEvX1FsAqiCMdTpr0MpZSEMQNNbdeFdUntUzSm0wgYI4id719q7A7SQsLFDp1Nxem0qv1SWZUOp56Rn4dDMLBompEERivj0WIDqUueRmZfBvVK6YevuBeACN4Vc8XGtepe0XDJdfRf3fbeAmOwzAClyVbwAvrbXm6vCREihObTNQ4-SOTR2Lps6vWXn1K-z%7EhbUVAINqrFC1mNsRLcUYGx8ZHCiQA%7Ez35UiOURAONM-0myvcZlM0wZQRy819DJsD5q1SSfe27yyO262PkWt4dv0ra%7EmqLcP1msDNmyB2%7E%7EgRCKPTFX-r4SO0Il7WvtoupBEuqjou7LLyWzh2UA__&Key-Pair-Id=KVTP0A1DKRTAX\nResolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 18.65.229.16, 18.65.229.73, 18.65.229.83, ...\nConnecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|18.65.229.16|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 2912904935 (2.7G) [application/gzip]\nSaving to: ‘venv.tar.gz’\n\nvenv.tar.gz 0%[ ] 0 --.-KB/s remote: Enumerating objects: 22280, done.\u001b[K\nremote: Counting objects: 100% (426/426), done.\u001b[K\nremote: Compressing objects: 100% (250/250), done.\u001b[K\nremote: Total 22280 (delta 235), reused 291 (delta 156), pack-reused 21854\u001b[K Receiving objects: 2% (446/22280)Receiving objects: 23% (5125/22280)Receiving objects: 30% (6684/22280), 5.04 MiB | 10.07 MiB/sReceiving objects: 36% (8021/22280), 5.04 MiB | 10.07 MiB/sReceiving objects: 46% (10249/22280), 5.04 MiB | 10.07 MiB/sReceiving objects: 54% (12032/22280), 16.66 MiB | 11.08 MiB/sReceiving objects: 70% (15596/22280), 16.66 MiB | 11.08 MiB/sReceiving objects: 70% (15600/22280), 24.78 MiB | 12.37 MiB/sReceiving objects: 71% (15819/22280), 24.78 MiB | 12.37 MiB/sReceiving objects: 98% (21835/22280), 24.78 MiB | 12.37 MiB/s\nReceiving objects: 100% (22280/22280), 30.32 MiB | 12.89 MiB/s, done.\nResolving deltas: 100% (15566/15566), done. ] 557.84M 138MB/s eta 17s Resolving deltas: 6% (934/15566)Resolving deltas: 14% (2180/15566)Resolving deltas: 16% (2491/15566)Resolving deltas: 25% (3892/15566)Resolving deltas: 32% (4982/15566)Resolving deltas: 56% (8717/15566)Resolving deltas: 95% (14788/15566)\nvenv.tar.gz 23%[===> ] 649.56M 146MB/s eta 15s /kaggle/working/stable-diffusion-webui\nvenv.tar.gz 33%[=====> ] 933.63M 168MB/s eta 12s Note: switching to '20ae71faa8ef035c31aa3a410b707d792c8203a3'.\n\nYou are in 'detached HEAD' state. You can look around, make experimental\nchanges and commit them, and you can discard any commits you make in this\nstate without impacting any branches by switching back to a branch.\n\nIf you want to create a new branch to retain commits you create, you may\ndo so (now or later) by using -c with the switch command. Example:\n\n git switch -c <new-branch-name>\n\nOr undo this operation with:\n\n git switch -\n\nTurn off this advice by setting config variable advice.detachedHead to false\n\nHEAD is now at 20ae71fa fix linter issue for 1.3.0\nvenv.tar.gz 34%[=====> ] 966.61M 167MB/s eta 12s stable-diffusion-webui已安装\n/kaggle/working/stable-diffusion-webui\nvenv.tar.gz 43%[=======> ] 1.19G 179MB/s eta 11s 安装插件，此处出现红条是正常的\nvenv.tar.gz 45%[========> ] 1.25G 186MB/s eta 11s ","output_type":"stream"},{"name":"stderr","text":"Cloning into 'loopback_scaler'...\nCloning into 'sd-webui-depth-lib'...\nCloning into 'sd-civitai-browser'...\nCloning into 'sd-webui-controlnet'...\n","output_type":"stream"},{"name":"stdout","text":"venv.tar.gz 96%[==================> ] 2.63G 218MB/s eta 1s ","output_type":"stream"},{"name":"stderr","text":"Cloning into 'sd-webui-3d-open-pose-editor'...\nCloning into 'stable-diffusion-webui-localization-zh_CN'...\n","output_type":"stream"},{"name":"stdout","text":"venv.tar.gz 97%[==================> ] 2.64G 203MB/s eta 1s ","output_type":"stream"},{"name":"stderr","text":"Cloning into 'stable-diffusion-webui-two-shot'...\n","output_type":"stream"},{"name":"stdout","text":"venv.tar.gz 98%[==================> ] 2.67G 145MB/s eta 0s ","output_type":"stream"},{"name":"stderr","text":"Updating files: 95% (876/922)\r","output_type":"stream"},{"name":"stdout","text":"venv.tar.gz 98%[==================> ] 2.67G 133MB/s eta 0s ","output_type":"stream"},{"name":"stderr","text":"Updating files: 100% (922/922), done.\nCloning into 'a1111-sd-webui-tagcomplete'...\n","output_type":"stream"},{"name":"stdout","text":"venv.tar.gz 100%[===================>] 2.71G 107MB/s in 16s \n\n2023-06-06 13:32:12 (173 MB/s) - ‘venv.tar.gz’ saved [2912904935/2912904935]\n\n环境包已下载\n/opt/conda/envs\n/opt/conda/envs/venv\n环境安装中\n","output_type":"stream"},{"name":"stderr","text":"Cloning into 'multidiffusion-upscaler-for-automatic1111'...\nCloning into 'sd-webui-cutoff'...\nCloning into 'sd-webui-lora-block-weight'...\nCloning into 'Stable-Diffusion-Webui-Civitai-Helper'...\nCloning into 'stable-diffusion-webui'...\nCloning into 'sd-webui-mov2mov'...\nCloning into 'stable-diffusion-webui-wd14-tagger'...\nCloning into 'sd-webui-prompt-all-in-one'...\nCloning into 'a1111-sd-webui-lycoris'...\nCloning into 'sd-webui-infinite-image-browsing'...\n","output_type":"stream"},{"name":"stdout","text":"Created symlink for clearvae.vae.pt in /kaggle/working/stable-diffusion-webui/models/VAE\nCreated symlink for vae-ft-mse-840000-ema-pruned.ckpt in /kaggle/working/stable-diffusion-webui/models/VAE\nCreated symlink for vae-ft-ema-560000-ema-pruned.safetensors in /kaggle/working/stable-diffusion-webui/models/VAE\nCreated symlink for klF8Anime2.vae.pt in /kaggle/working/stable-diffusion-webui/models/VAE\nCreated symlink for libramix_v10.safetensors in /kaggle/working/stable-diffusion-webui/models/Stable-diffusion\nCreated symlink for cetusMix_Coda2.safetensors in /kaggle/working/stable-diffusion-webui/models/Stable-diffusion\nCreated symlink for 9527-non-ema-fp16.safetensors in /kaggle/working/stable-diffusion-webui/models/Stable-diffusion\nCreated symlink for CounterfeitV30_v30.safetensors in /kaggle/working/stable-diffusion-webui/models/Stable-diffusion\nCreated symlink for cetusMix_Version35.safetensors in /kaggle/working/stable-diffusion-webui/models/Stable-diffusion\nCreated symlink for shanzhagao128dim-epoch-000010.safetensors in /kaggle/working/stable-diffusion-webui/models/Lora\nCreated symlink for add_detail.safetensors in /kaggle/working/stable-diffusion-webui/models/Lora\nCreated symlink for MoXinV1.safetensors in /kaggle/working/stable-diffusion-webui/models/Lora\nCreated symlink for control_v11p_sd15_mlsd_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11p_sd15s2_lineart_anime_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11p_sd15_openpose_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11p_sd15_normalbae_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11p_sd15_canny_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11p_sd15_lineart_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11e_sd15_ip2p_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11p_sd15_inpaint_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11p_sd15_scribble_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11u_sd15_tile_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11f1p_sd15_depth_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11e_sd15_shuffle_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for control_v11p_sd15_softedge_fp16.safetensors in /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models\nCreated symlink for 4x-AnimeSharp.pth in /kaggle/working/stable-diffusion-webui/models/ESRGAN\nCreated symlink for 4x_foolhardy_Remacri.pth in /kaggle/working/stable-diffusion-webui/models/ESRGAN\nCreated symlink for 4x-UltraSharp.pth in /kaggle/working/stable-diffusion-webui/models/ESRGAN\nCreated symlink for FilmProvia2.safetensors in /kaggle/working/stable-diffusion-webui/models/lyco\n环境安装完毕\n","output_type":"stream"},{"name":"stderr","text":"WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\n\nWARNING: apt does not have a stable CLI interface. Use with caution in scripts.\n\n","output_type":"stream"},{"name":"stdout","text":"The following additional packages will be installed:\n liblzma-dev\nSuggested packages:\n liblzma-doc\nThe following NEW packages will be installed:\n liblzma-dev libunwind-dev\n","output_type":"stream"},{"name":"stderr","text":"dpkg-preconfigure: unable to re-open stdin: No such file or directory\n","output_type":"stream"},{"name":"stdout","text":"0 upgraded, 2 newly installed, 0 to remove and 28 not upgraded.\nNeed to get 2040 kB of archives.\nAfter this operation, 6754 kB of additional disk space will be used.\nSelecting previously unselected package liblzma-dev:amd64.\n(Reading database ... 115466 files and directories currently installed.)\nPreparing to unpack .../liblzma-dev_5.2.5-2ubuntu1_amd64.deb ...\nUnpacking liblzma-dev:amd64 (5.2.5-2ubuntu1) ...\nSelecting previously unselected package libunwind-dev:amd64.\nPreparing to unpack .../libunwind-dev_1.3.2-2build2_amd64.deb ...\nUnpacking libunwind-dev:amd64 (1.3.2-2build2) ...\nSetting up liblzma-dev:amd64 (5.2.5-2ubuntu1) ...\nSetting up libunwind-dev:amd64 (1.3.2-2build2) ...\nProcessing triggers for man-db (2.10.2-1) ...\nSelecting previously unselected package google-perftools.\n(Reading database ... 115559 files and directories currently installed.)\nPreparing to unpack google-perftools_2.5-2.2ubuntu3_all.deb ...\nUnpacking google-perftools (2.5-2.2ubuntu3) ...\nSelecting previously unselected package libgoogle-perftools-dev.\nPreparing to unpack libgoogle-perftools-dev_2.5-2.2ubuntu3_amd64.deb ...\nUnpacking libgoogle-perftools-dev (2.5-2.2ubuntu3) ...\nSelecting previously unselected package libgoogle-perftools4.\nPreparing to unpack libgoogle-perftools4_2.5-2.2ubuntu3_amd64.deb ...\nUnpacking libgoogle-perftools4 (2.5-2.2ubuntu3) ...\nSelecting previously unselected package libtcmalloc-minimal4.\nPreparing to unpack libtcmalloc-minimal4_2.5-2.2ubuntu3_amd64.deb ...\nUnpacking libtcmalloc-minimal4 (2.5-2.2ubuntu3) ...\nSetting up libtcmalloc-minimal4 (2.5-2.2ubuntu3) ...\nSetting up libgoogle-perftools4 (2.5-2.2ubuntu3) ...\nSetting up google-perftools (2.5-2.2ubuntu3) ...\nSetting up libgoogle-perftools-dev (2.5-2.2ubuntu3) ...\nProcessing triggers for man-db (2.10.2-1) ...\nProcessing triggers for libc-bin (2.35-0ubuntu3.1) ...\n内存优化已安装\n内存优化已安装\n加载耗时: 249.6120264530182 s\n/kaggle/working\nskip start ngrok\n/kaggle/working/stable-diffusion-webui\nmkdir: cannot create directory ‘models/lyco’: File exists\nPython 3.10.11 | packaged by conda-forge | (main, May 10 2023, 18:58:44) [GCC 11.3.0]\nVersion: v1.3.0\nCommit hash: 20ae71faa8ef035c31aa3a410b707d792c8203a3\nInstalling clip\nInstalling open_clip\nCloning Stable Diffusion into /kaggle/working/stable-diffusion-webui/repositories/stable-diffusion-stability-ai...\nCloning Taming Transformers into /kaggle/working/stable-diffusion-webui/repositories/taming-transformers...\nCloning K-diffusion into /kaggle/working/stable-diffusion-webui/repositories/k-diffusion...\nCloning CodeFormer into /kaggle/working/stable-diffusion-webui/repositories/CodeFormer...\nCloning BLIP into /kaggle/working/stable-diffusion-webui/repositories/BLIP...\nInstalling requirements for CodeFormer\nInstalling requirements\nInstalling sd-webui-infinite-image-browsing requirement: python-dotenv\nInstalling sd-webui-infinite-image-browsing requirement: Pillow\n\nInstalling sd-webui-controlnet requirement: mediapipe\nInstalling sd-webui-controlnet requirement: svglib\nInstalling sd-webui-controlnet requirement: fvcore\n\nInstalling requirements for CivitAI Browser\n\nInstalling sd-webui-prompt-all-in-one: translators\nInstalling sd-webui-prompt-all-in-one: openai\nInstalling sd-webui-prompt-all-in-one: boto3\nInstalling sd-webui-prompt-all-in-one: aliyunsdkcore\nInstalling sd-webui-prompt-all-in-one: aliyunsdkalimt\n\nInstalling requirements for Mov2mov\nInstalling requirements for ffmpeg\n\nDownloading pose_landmark_full.tflite...\nDownloading pose_web.binarypb...\nDownloading pose_solution_packed_assets.data...\nDownloading pose_solution_simd_wasm_bin.wasm...\nDownloading pose_solution_packed_assets_loader.js...\nDownloading pose_solution_simd_wasm_bin.js...\n\nLaunching Web UI with arguments: --share --xformers --lowram --no-hashing --disable-nan-check --enable-insecure-extension-access --disable-console-progressbars --enable-console-prompts --no-gradio-queue --no-half-vae --api --lyco-dir /kaggle/working/models/lyco --ckpt=models/Stable-diffusion/cetusMix_Coda2.safetensors\nError loading script: sampling.py\nTraceback (most recent call last):\n File \"/kaggle/working/stable-diffusion-webui/modules/scripts.py\", line 263, in load_scripts\n script_module = script_loading.load_module(scriptfile.path)\n File \"/kaggle/working/stable-diffusion-webui/modules/script_loading.py\", line 10, in load_module\n module_spec.loader.exec_module(module)\n File \"<frozen importlib._bootstrap_external>\", line 883, in exec_module\n File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n File \"/kaggle/working/stable-diffusion-webui/scripts/sampling.py\", line 10, in <module>\n from . import utils\nModuleNotFoundError: No module named 'sampling'\n\nCivitai Helper: Get Custom Model Folder\nCivitai Helper: Load setting from: /kaggle/working/stable-diffusion-webui/extensions/Stable-Diffusion-Webui-Civitai-Helper/setting.json\nCivitai Helper: No setting file, use default\n2023-06-06 13:38:28,215 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.218\nControlNet preprocessor location: /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/downloads\n2023-06-06 13:38:28,433 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.218\nsd-webui-prompt-all-in-one background API service started successfully.\nLoading weights [None] from /kaggle/working/stable-diffusion-webui/models/Stable-diffusion/cetusMix_Coda2.safetensors\nCreating model from config: /kaggle/working/stable-diffusion-webui/configs/v1-inference.yaml\nLatentDiffusion: Running in eps-prediction mode\nDiffusionWrapper has 859.52 M params.\nDownloading (…)olve/main/vocab.json: 100%|███| 961k/961k [00:00<00:00, 5.12MB/s]\nDownloading (…)olve/main/merges.txt: 100%|███| 525k/525k [00:00<00:00, 2.66MB/s]\nDownloading (…)cial_tokens_map.json: 100%|█████| 389/389 [00:00<00:00, 2.00MB/s]\nDownloading (…)okenizer_config.json: 100%|█████| 905/905 [00:00<00:00, 5.70MB/s]\nDownloading (…)lve/main/config.json: 100%|█| 4.52k/4.52k [00:00<00:00, 17.6MB/s]\nLoading VAE weights specified in settings: /kaggle/working/stable-diffusion-webui/models/VAE/clearvae.vae.pt\nApplying optimization: xformers... done.\nTextual inversion embeddings loaded(5): bad-artist-anime, bad-hands-5, bad-image-v2-39000, bad_prompt_version2, EasyNegative\nModel loaded in 32.4s (load weights from disk: 21.1s, create model: 2.8s, apply weights to model: 4.7s, apply half(): 1.2s, load VAE: 1.7s, move model to device: 0.7s).\nRunning on local URL: http://127.0.0.1:7860\nRunning on public URL: https://e881356cce029f957d.gradio.live\n\nThis share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\nStartup time: 52.3s (import torch: 2.8s, import gradio: 2.4s, import ldm: 2.4s, other imports: 2.1s, setup codeformer: 0.2s, load scripts: 2.7s, create ui: 32.9s, gradio launch: 6.5s, scripts app_started_callback: 0.2s).\n\ntxt2img: masterpiece, best quality,\n\n,delicate, beautiful,colorful, vividcolor, lighting,\n\n100%|███████████████████████████████████████████| 24/24 [00:12<00:00, 1.93it/s]\n","output_type":"stream"},{"name":"stderr","text":"Process ForkProcess-4:\nTraceback (most recent call last):\n File \"/opt/conda/lib/python3.10/multiprocessing/process.py\", line 314, in _bootstrap\n self.run()\n File \"/opt/conda/lib/python3.10/multiprocessing/process.py\", line 108, in run\n self._target(*self._args, **self._kwargs)\n File \"/opt/conda/lib/python3.10/concurrent/futures/process.py\", line 240, in _process_worker\n call_item = call_queue.get(block=True)\n File \"/opt/conda/lib/python3.10/multiprocessing/queues.py\", line 103, in get\n res = self._recv_bytes()\n File \"/opt/conda/lib/python3.10/multiprocessing/connection.py\", line 216, in recv_bytes\n buf = self._recv_bytes(maxlength)\n File \"/opt/conda/lib/python3.10/multiprocessing/connection.py\", line 414, in _recv_bytes\n buf = self._recv(4)\n File \"/opt/conda/lib/python3.10/multiprocessing/connection.py\", line 379, in _recv\n chunk = read(handle, remaining)\nKeyboardInterrupt\n","output_type":"stream"},{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)","Cell \u001b[0;32mIn[13], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# start\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n","Cell \u001b[0;32mIn[11], line 14\u001b[0m, in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m 12\u001b[0m ticks \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m加载耗时:\u001b[39m\u001b[38;5;124m\"\u001b[39m,(ticks \u001b[38;5;241m-\u001b[39m startTicks),\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124ms\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 14\u001b[0m \u001b[43mstart_webui\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n","Cell \u001b[0;32mIn[10], line 27\u001b[0m, in \u001b[0;36mstart_webui\u001b[0;34m()\u001b[0m\n\u001b[1;32m 25\u001b[0m time\u001b[38;5;241m.\u001b[39msleep(\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 26\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m future \u001b[38;5;129;01min\u001b[39;00m futures:\n\u001b[0;32m---> 27\u001b[0m \u001b[43mfuture\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresult\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m/opt/conda/lib/python3.10/concurrent/futures/_base.py:453\u001b[0m, in \u001b[0;36mFuture.result\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 450\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;241m==\u001b[39m FINISHED:\n\u001b[1;32m 451\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__get_result()\n\u001b[0;32m--> 453\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_condition\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 455\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;129;01min\u001b[39;00m [CANCELLED, CANCELLED_AND_NOTIFIED]:\n\u001b[1;32m 456\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CancelledError()\n","File \u001b[0;32m/opt/conda/lib/python3.10/threading.py:320\u001b[0m, in \u001b[0;36mCondition.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 318\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m: \u001b[38;5;66;03m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[39;00m\n\u001b[1;32m 319\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 320\u001b[0m \u001b[43mwaiter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 321\u001b[0m gotit \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 322\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: "],"ename":"KeyboardInterrupt","evalue":"","output_type":"error"}]},{"cell_type":"code","source":"#跑图结束，手动执行，清理图片并打包到output方便下载,同时同步配置文件\nzip_clear_updata()","metadata":{"execution":{"iopub.status.busy":"2023-06-06T13:40:24.667167Z","iopub.status.idle":"2023-06-06T13:40:24.667871Z","shell.execute_reply.started":"2023-06-06T13:40:24.667592Z","shell.execute_reply":"2023-06-06T13:40:24.667621Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Traceback (most recent call la\n#!apt-get update","metadata":{"execution":{"iopub.status.busy":"2023-06-16T04:55:41.755667Z","iopub.execute_input":"2023-06-16T04:55:41.756128Z","iopub.status.idle":"2023-06-16T04:55:46.996151Z","shell.execute_reply.started":"2023-06-16T04:55:41.756066Z","shell.execute_reply":"2023-06-16T04:55:46.994580Z"},"trusted":true},"execution_count":5,"outputs":[{"name":"stdout","text":"Get:1 http://packages.cloud.google.com/apt gcsfuse-focal InRelease [5002 B]\nGet:2 https://packages.cloud.google.com/apt cloud-sdk InRelease [6361 B] \nHit:3 http://archive.ubuntu.com/ubuntu focal InRelease \nGet:4 http://archive.ubuntu.com/ubuntu focal-updates InRelease [114 kB] \nGet:5 http://security.ubuntu.com/ubuntu focal-security InRelease [114 kB]\nGet:6 http://archive.ubuntu.com/ubuntu focal-backports InRelease [108 kB] \nGet:7 https://packages.cloud.google.com/apt cloud-sdk/main amd64 Packages [464 kB]\nGet:8 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1359 kB]\nGet:9 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [2539 kB]\nGet:10 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [2352 kB]\nGet:11 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [3282 kB]\nGet:12 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [1060 kB]\nGet:13 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [2781 kB]\nFetched 14.2 MB in 2s (5993 kB/s) \nReading package lists... Done\n","output_type":"stream"}]}]}