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{"metadata":{"kernelspec":{"display_name":"saturn (Python 3)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.15"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"## NovelAi Stable Diffusion - webui AI绘画项目 \n**torch: 2.0.0+cu118 • xformers: 0.0.20**\n\n## <span style=\"color:red; font-weight:bold;\">有问题请加qq群632428790 (1081/2000)</span>\nor contact me on Discord: Loading#7871\n## <span style=\"color:red; font-weight:bold;\"> 希望有能力的大佬可以做视频宣传本项目！</span>\n## BiliBili：Nyan9 \n### 发布地址：HF: https://huggingface.co/datasets/ACCA225/Kaggle-Stable-Diffusion & Gihub： https://github.com/2575044704/Saturn-SD-Webui\n<!--- \n这里是作者的署名和群号码，未经同意请勿删除，删一句家里人少一个\n--->\n<!--- \n倒卖狗全家死光\n--->\n","metadata":{}},{"cell_type":"markdown","source":"## 未经同意禁止将源代码用于出售，一经发现严肃追究\n<!--- \n这里是作者的署名和群号码，未经同意请勿删除，删一句家里人少一个\n--->\n<!--- \n倒卖狗全家死光\n--->\n","metadata":{}},{"cell_type":"markdown","source":"分三个代码块：依赖安装，启动sd-webui，下载模型\n第一次开机请先运行依赖安装一遍","metadata":{}},{"cell_type":"markdown","source":"----------","metadata":{}},{"cell_type":"markdown","source":"# 安装依赖，首次使用需要执行","metadata":{}},{"cell_type":"code","source":"#依赖安装,每次开机请运行此单元格\n#***0是关闭，1是开启***\n\ninstall_path='/home/jovyan/workspace' ##安装目录\n\nvenv_link = \"https://huggingface.co/datasets/sukaka/venv_ai_drow/resolve/main/sd_webui/torch201_cu118_xf20.tar.gz\" #环境包链接\n\nupdata = 0 #更新webui\n\n#-----------------------------------------------------------\n\nimport os\nimport re\nfrom pathlib import Path\n\n!sudo apt-get update > /dev/null 2>&1\n!sudo apt -y install -qq aria2 > /dev/null 2>&1\n!sudo apt -y install -qq pigz > /dev/null 2>&1\n!sudo apt-get install libglib2.0-0 -y > /dev/null 2>&1\n\n%cd $install_path\nif not os.path.exists(\"start.sh\"):\n !wget https://huggingface.co/datasets/sukaka/sd_configs/resolve/main/start.sh -O start.sh\n !chmod +x start.sh\n \n#内存优化\nif os.path.exists(f\"{install_path}/libtcmalloc/\"):\n print('内存优化已安装')\nelse:\n %cd $install_path\n !mkdir libtcmalloc\n !wget https://github.com/camenduru/gperftools/releases/download/v1.0/libtcmalloc_minimal.so.4 -O libtcmalloc/libtcmalloc_minimal.so.4 > /dev/null 2>&1\n print('内存优化已安装')\n\n%cd $install_path\nprint('stable-diffusion-webui安装中')\n#Download Automatic1111's Stable Diffusion Web UI\nif os.path.exists('stable-diffusion-webui'):\n if updata == 1:\n %cd $install_path/stable-diffusion-webui/\n !git pull https://github.com/KaggleSD/stable-diffusion-webui master\n !sed -i -e '''/from modules import launch_utils/a\\import os''' /home/jovyan/workspace/stable-diffusion-webui/launch.py\n !sed -i -e '''/ prepare_environment()/a\\ os.system\\(f\\\"\"\"sed -i -e ''\\\"s/dict()))/dict())).cuda()/g\\\"'' /home/jovyan/workspace/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py\"\"\")''' /home/jovyan/workspace/stable-diffusion-webui/launch.py\n !sed -i -e 's/\\[\"sd_model_checkpoint\"\\]/\\[\"sd_model_checkpoint\",\"sd_vae\",\"CLIP_stop_at_last_layers\"\\]/g' /home/jovyan/workspace/stable-diffusion-webui/modules/shared.py\n print('stable-diffusion-webui已安装')\nelse:\n !git clone https://github.com/KaggleSD/stable-diffusion-webui\n !sed -i -e '''/from modules import launch_utils/a\\import os''' /home/jovyan/workspace/stable-diffusion-webui/launch.py\n !sed -i -e '''/ prepare_environment()/a\\ os.system\\(f\\\"\"\"sed -i -e ''\\\"s/dict()))/dict())).cuda()/g\\\"'' /home/jovyan/workspace/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py\"\"\")''' /home/jovyan/workspace/stable-diffusion-webui/launch.py\n !sed -i -e 's/\\[\"sd_model_checkpoint\"\\]/\\[\"sd_model_checkpoint\",\"sd_vae\",\"CLIP_stop_at_last_layers\"\\]/g' /home/jovyan/workspace/stable-diffusion-webui/modules/shared.py\n\n%cd $install_path\npython_path = f\"{install_path}/venv/bin/python3\"\nif os.path.exists('venv'):\n print('环境已安装')\nelse:\n %cd $install_path\n if not os.path.exists('venv.tar.gz'):\n print('环境包下载中')\n os.system(f\"aria2c --console-log-level=error -q -c -x 16 -s 16 -k 1M -o venv.tar.gz {venv_link}\")\n print('环境包已下载')\n !mkdir venv\n %cd venv\n print('环境安装中')\n os.system(f'pigz -dc -p 4 {install_path}/venv.tar.gz | tar xf -')\n !rm -rf $install_path/venv.tar.gz\n # 定位 serializing.py 文件\n serializing_file = os.path.join(install_path, \"venv\", \"lib\", \"python3.10\", \"site-packages\", \"gradio_client\", \"serializing.py\")\n\n # 读取文件内容\n with open(serializing_file, \"r\") as f:\n lines = f.readlines()\n\n # 在 COMPONENT_MAPPING 字典中添加一行\n for i, line in enumerate(lines):\n if \"COMPONENT_MAPPING = {\" in line:\n lines.insert(i + 1, ' \"dataset\": StringSerializable,\\n')\n break\n\n # 写回文件\n with open(serializing_file, \"w\") as f:\n f.writelines(lines)\n\nprint('环境安装完毕')","metadata":{"execution":{"iopub.execute_input":"2023-08-18T04:10:35.764899Z","iopub.status.busy":"2023-08-18T04:10:35.764479Z","iopub.status.idle":"2023-08-18T04:12:11.276390Z","shell.execute_reply":"2023-08-18T04:12:11.275499Z","shell.execute_reply.started":"2023-08-18T04:10:35.764866Z"},"tags":[]},"execution_count":1,"outputs":[{"name":"stdout","output_type":"stream","text":"/home/jovyan/workspace\n\n--2023-08-18 04:10:48-- https://huggingface.co/datasets/sukaka/sd_configs/resolve/main/start.sh\n\nResolving huggingface.co (huggingface.co)... 3.160.5.109, 3.160.5.102, 3.160.5.25, ...\n\nConnecting to huggingface.co (huggingface.co)|3.160.5.109|:443... connected.\n\nHTTP request sent, awaiting response... 200 OK\n\nLength: 1019 [text/plain]\n\nSaving to: ‘start.sh’\n\n\n\nstart.sh 100%[===================>] 1019 --.-KB/s in 0s \n\n\n\n2023-08-18 04:10:48 (792 MB/s) - ‘start.sh’ saved [1019/1019]\n\n\n\n/home/jovyan/workspace\n\n内存优化已安装\n\n/home/jovyan/workspace\n\nstable-diffusion-webui安装中\n\nCloning into 'stable-diffusion-webui'...\n\nremote: Enumerating objects: 26020, done.\u001b[K\n\nremote: Counting objects: 100% (407/407), done.\u001b[K\n\nremote: Compressing objects: 100% (179/179), done.\u001b[K\n\nremote: Total 26020 (delta 262), reused 342 (delta 224), pack-reused 25613\u001b[K\n\nReceiving objects: 100% (26020/26020), 31.82 MiB | 42.49 MiB/s, done.\n\nResolving deltas: 100% (18220/18220), done.\n\n/home/jovyan/workspace\n\n/home/jovyan/workspace\n\n环境包下载中\n\n环境包已下载\n\n/home/jovyan/workspace/venv\n\n环境安装中\n\n环境安装完毕\n"}]},{"cell_type":"markdown","source":"# 安装插件，模型","metadata":{}},{"cell_type":"code","source":"#运行这个单元格下载模型和插件\n#***出现下载完毕才是下载完****\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/2575044704/stable-diffusion-webui-localization-zh_CN2',\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 'https://github.com/continue-revolution/sd-webui-segment-anything',\n]\n\n# Stable Diffusion模型下载链接放这里\nsd_model_urls=[\n#'https://huggingface.co/datasets/sukaka/sd_models_fp16/resolve/main/GhostMix2.safetensors',\n#sdxl\n\"https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors\",\n#'https://huggingface.co/ptx0/sdxl-refiner/resolve/main/sd_xl_refiner_1.0.safetensors',\n]\n#VAE模型下载链接放这里\nvae_model_urls=[\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/madebyollin/sdxl-vae-fp16-fix/resolve/main/sdxl_vae.safetensors',\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]\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）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文件下载链接导入\nscripts_urls = []\n\n#tag词库文件下载链接导入\ntags_file_urls=[\n\"https://huggingface.co/datasets/sukaka/sd_configs/resolve/main/danbooru.zh_CN.csv\",\n]\n\n#sd-webui-segment-anything插件的模型导入\nsam_model = []\n#sd-webui-segment-anything插件的模型下载链接导入\nsam_model_urls = [\n #'https://huggingface.co/lkeab/hq-sam/resolve/main/sam_hq_vit_h.pth',\n 'https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth',\n]\n\n#---------------------------------------------------------------------------------------------------------------------\n\nfrom concurrent.futures import ThreadPoolExecutor\n# 安装插件，下载和同步模型\ndef install_extensions(install_path, extensions):\n print('安装插件中')\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/' or 'https://dl.fbaipublicfiles.com'):\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=4) as executor:\n for task in tasks:\n executor.submit(os.system, task)\n\n%cd $install_path/stable-diffusion-webui\ninstall_extensions(install_path, extensions)\nprint('下载模型中')\ntasks = []\ntasks.extend(download_links(vae_model_urls, f'{install_path}/stable-diffusion-webui/models/VAE'))\ntasks.extend(download_links(sd_model_urls, f'{install_path}/stable-diffusion-webui/models/Stable-diffusion'))\ntasks.extend(download_links(lora_model_urls, f'{install_path}/stable-diffusion-webui/models/Lora'))\ntasks.extend(download_links(cn_model_urls, f'{install_path}/stable-diffusion-webui/extensions/sd-webui-controlnet/models'))\ntasks.extend(download_links(hypernetworks_model_urls, f'{install_path}/stable-diffusion-webui/models/hypernetworks'))\ntasks.extend(download_links(ESRGAN_urls, f'{install_path}/stable-diffusion-webui/models/ESRGAN'))\ntasks.extend(download_links(embeddings_model_urls, f'{install_path}/stable-diffusion-webui/embeddings'))\ntasks.extend(download_links(scripts_urls, f'{install_path}/stable-diffusion-webui/scripts'))\ntasks.extend(download_links(tags_file_urls, f'{install_path}/stable-diffusion-webui/extensions/a1111-sd-webui-tagcomplete/tags'))\ntasks.extend(download_links(sam_model_urls, f'{install_path}/stable-diffusion-webui/extensions/sd-webui-segment-anything/models/sam'))\ndownload_links_all(tasks)\nprint('下载完毕')","metadata":{"execution":{"iopub.execute_input":"2023-08-18T04:12:37.330898Z","iopub.status.busy":"2023-08-18T04:12:37.330524Z","iopub.status.idle":"2023-08-18T04:13:56.278444Z","shell.execute_reply":"2023-08-18T04:13:56.277657Z","shell.execute_reply.started":"2023-08-18T04:12:37.330871Z"},"tags":[]},"execution_count":2,"outputs":[{"name":"stdout","output_type":"stream","text":"/home/jovyan/workspace/stable-diffusion-webui\n\n安装插件中\n"},{"name":"stderr","output_type":"stream","text":"Cloning into 'loopback_scaler'...\n\nCloning into 'sd-webui-controlnet'...\n\nCloning into 'sd-civitai-browser'...\n\nCloning into 'sd-webui-depth-lib'...\n\nCloning into 'sd-webui-3d-open-pose-editor'...\n\nCloning into 'stable-diffusion-webui-localization-zh_CN'...\n\nCloning into 'stable-diffusion-webui-two-shot'...\n\nCloning into 'a1111-sd-webui-tagcomplete'...\n\nCloning into 'multidiffusion-upscaler-for-automatic1111'...\n\nCloning into 'sd-webui-cutoff'...\n\nCloning into 'sd-webui-lora-block-weight'...\n\nCloning into 'Stable-Diffusion-Webui-Civitai-Helper'...\n\nCloning into 'stable-diffusion-webui'...\n\nCloning into 'sd-webui-mov2mov'...\n\nCloning into 'stable-diffusion-webui-wd14-tagger'...\n\nCloning into 'sd-webui-prompt-all-in-one'...\n\nCloning into 'sd-webui-infinite-image-browsing'...\n\nCloning into 'sd-webui-segment-anything'...\n"},{"name":"stdout","output_type":"stream","text":"下载模型中\n\n下载完毕\n"}]},{"cell_type":"markdown","source":"# 启动SD-webui","metadata":{}},{"cell_type":"code","source":"#sd-webui启动\n#启动参数在start.sh修改\n%cd \n%cd workspace\n!./start.sh\n","metadata":{"execution":{"iopub.execute_input":"2023-08-18T04:20:05.735646Z","iopub.status.busy":"2023-08-18T04:20:05.735130Z"},"tags":[]},"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":"/home/jovyan\n\n/home/jovyan/workspace\n\nPython 3.10.11 (main, May 16 2023, 00:28:57) [GCC 11.2.0]\n\nVersion: v1.5.1\n\nCommit hash: 68f336bd994bed5442ad95bad6b6ad5564a5409a\n\nInstalling clip\n\nCloning Stable Diffusion into /home/jovyan/workspace/stable-diffusion-webui/repositories/stable-diffusion-stability-ai...\n\nCloning into '/home/jovyan/workspace/stable-diffusion-webui/repositories/stable-diffusion-stability-ai'...\n\nremote: Enumerating objects: 574, done.\u001b[K\n\nremote: Counting objects: 100% (304/304), done.\u001b[K\n\nremote: Compressing objects: 100% (88/88), done.\u001b[K\n\nremote: Total 574 (delta 244), reused 216 (delta 216), pack-reused 270\u001b[K\n\nReceiving objects: 100% (574/574), 73.43 MiB | 44.92 MiB/s, done.\n\nResolving deltas: 100% (276/276), done.\n\nCloning Stable Diffusion XL into /home/jovyan/workspace/stable-diffusion-webui/repositories/generative-models...\n\nCloning into '/home/jovyan/workspace/stable-diffusion-webui/repositories/generative-models'...\n\nremote: Enumerating objects: 740, done.\u001b[K\n\nremote: Counting objects: 100% (563/563), done.\u001b[K\n\nremote: Compressing objects: 100% (283/283), done.\u001b[K\n\nremote: Total 740 (delta 340), reused 425 (delta 266), pack-reused 177\u001b[K\n\nReceiving objects: 100% (740/740), 22.31 MiB | 28.38 MiB/s, done.\n\nResolving deltas: 100% (378/378), done.\n\nCloning K-diffusion into /home/jovyan/workspace/stable-diffusion-webui/repositories/k-diffusion...\n\nCloning into '/home/jovyan/workspace/stable-diffusion-webui/repositories/k-diffusion'...\n\nremote: Enumerating objects: 770, done.\u001b[K\n\nremote: Counting objects: 100% (46/46), done.\u001b[K\n\nremote: Compressing objects: 100% (25/25), done.\u001b[K\n\nremote: Total 770 (delta 25), reused 34 (delta 21), pack-reused 724\u001b[K\n\nReceiving objects: 100% (770/770), 157.76 KiB | 4.78 MiB/s, done.\n\nResolving deltas: 100% (503/503), done.\n\nCloning CodeFormer into /home/jovyan/workspace/stable-diffusion-webui/repositories/CodeFormer...\n\nCloning into '/home/jovyan/workspace/stable-diffusion-webui/repositories/CodeFormer'...\n\nremote: Enumerating objects: 594, done.\u001b[K\n\nremote: Counting objects: 100% (245/245), done.\u001b[K\n\nremote: Compressing objects: 100% (98/98), done.\u001b[K\n\nremote: Total 594 (delta 176), reused 167 (delta 147), pack-reused 349\u001b[K\n\nReceiving objects: 100% (594/594), 17.31 MiB | 26.69 MiB/s, done.\n\nResolving deltas: 100% (287/287), done.\n\nCloning BLIP into /home/jovyan/workspace/stable-diffusion-webui/repositories/BLIP...\n\nCloning into '/home/jovyan/workspace/stable-diffusion-webui/repositories/BLIP'...\n\nremote: Enumerating objects: 277, done.\u001b[K\n\nremote: Counting objects: 100% (165/165), done.\u001b[K\n\nremote: Compressing objects: 100% (30/30), done.\u001b[K\n\nremote: Total 277 (delta 137), reused 136 (delta 135), pack-reused 112\u001b[K\n\nReceiving objects: 100% (277/277), 7.03 MiB | 40.70 MiB/s, done.\n\nResolving deltas: 100% (152/152), done.\n\nInstalling requirements for CodeFormer\n\nInstalling sd-webui-segment-anything requirement: segment_anything\n\nInstalling sd-webui-segment-anything requirement: supervision\n\n\n\nInstalling requirements for Mov2mov\n\nInstalling requirements for ffmpeg\n\n\n\nInstalling sd-webui-infinite-image-browsing requirement: python-dotenv\n\nInstalling sd-webui-infinite-image-browsing requirement: pyfunctional\n\n\n\nInstalling sd-webui-prompt-all-in-one: chardet\n\nInstalling sd-webui-prompt-all-in-one: execjs\n\nInstalling sd-webui-prompt-all-in-one: lxml\n\nInstalling sd-webui-prompt-all-in-one: pathos\n\nInstalling sd-webui-prompt-all-in-one: cryptography\n\nInstalling sd-webui-prompt-all-in-one: openai\n\nInstalling sd-webui-prompt-all-in-one: boto3\n\nInstalling sd-webui-prompt-all-in-one: aliyunsdkcore\n\nInstalling sd-webui-prompt-all-in-one: aliyunsdkalimt\n\n\n\nDownloading pose_landmark_full.tflite...\n\nDownloading pose_web.binarypb...\n\nDownloading pose_solution_packed_assets.data...\n\nDownloading pose_solution_simd_wasm_bin.wasm...\n\nDownloading pose_solution_packed_assets_loader.js...\n\nDownloading pose_solution_simd_wasm_bin.js...\n\n\n\nInstalling sd-webui-controlnet requirement: mediapipe\n\nInstalling sd-webui-controlnet requirement: svglib\n\nInstalling sd-webui-controlnet requirement: fvcore\n\n\n\nInstalling requirements for CivitAI Browser\n\n\n\nLaunching Web UI with arguments: --listen --xformers --no-hashing --enable-insecure-extension-access --gradio-queue --administrator --disable-safe-unpickle --ckpt=models/Stable-diffusion/sd_xl_base_1.0.safetensors --port=8000\n\nCivitai Helper: Get Custom Model Folder\n\nCivitai Helper: Load setting from: /home/jovyan/workspace/stable-diffusion-webui/extensions/Stable-Diffusion-Webui-Civitai-Helper/setting.json\n\nCivitai Helper: No setting file, use default\n\nTag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.\n\n2023-08-18 04:21:27,963 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.238\n\nControlNet preprocessor location: /home/jovyan/workspace/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/downloads\n\n2023-08-18 04:21:28,071 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.238\n\nsd-webui-prompt-all-in-one background API service started successfully.\n\nLoading weights [None] from /home/jovyan/workspace/stable-diffusion-webui/models/Stable-diffusion/sd_xl_base_1.0.safetensors\n\nCreating model from config: /home/jovyan/workspace/stable-diffusion-webui/repositories/generative-models/configs/inference/sd_xl_base.yaml\n\nDownloading (…)olve/main/vocab.json: 100%|███| 961k/961k [00:00<00:00, 23.2MB/s]\n\nDownloading (…)olve/main/merges.txt: 100%|███| 525k/525k [00:00<00:00, 26.4MB/s]\n\nDownloading (…)cial_tokens_map.json: 100%|█████| 389/389 [00:00<00:00, 3.80MB/s]\n\nDownloading (…)okenizer_config.json: 100%|█████| 905/905 [00:00<00:00, 11.1MB/s]\n\nDownloading (…)lve/main/config.json: 100%|█| 4.52k/4.52k [00:00<00:00, 35.7MB/s]\n\nApplying attention optimization: xformers... done.\n\nModel loaded in 18.8s (load weights from disk: 2.1s, load config: 0.2s, create model: 8.2s, apply weights to model: 6.7s, calculate empty prompt: 1.4s).\n\nRunning on local URL: http://0.0.0.0:8000\n\n\n\nTo create a public link, set `share=True` in `launch()`.\n\nStartup time: 102.2s (launcher: 69.7s, import torch: 3.9s, import gradio: 1.2s, setup paths: 2.4s, other imports: 1.2s, load scripts: 1.9s, create ui: 19.1s, gradio launch: 2.6s).\n"}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]} |