{"cells":[{"attachments":{},"cell_type":"markdown","metadata":{},"source":["## NovelAi sd-webui AI绘画项目 修复版（Kaggle云端部署项目，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\n","632428790</span>"]},{"cell_type":"code","execution_count":40,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:40:59.787085Z","iopub.status.busy":"2023-05-16T03:40:59.786415Z","iopub.status.idle":"2023-05-16T03:40:59.794902Z","shell.execute_reply":"2023-05-16T03:40:59.793292Z","shell.execute_reply.started":"2023-05-16T03:40:59.787035Z"},"trusted":true},"outputs":[],"source":["# 安装目录\n","install_path=\"/kaggle/working\" #或者/kaggle\n","updata_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\n","reLoad = False\n","updata_webui = False\n","\n","#清理和打包生成的图片\n","zip_output=True\n","clear_output=True\n","\n","# 使用huggingface保存和载入webui配置文件\n","huggingface_use = True\n","huggingface_token_file = '/kaggle/input/hugfacetoken/hugfacetoken.txt'\n","huggiingface_repo_id = 'sukaka/sd_configs'\n","# 将会同步的文件\n","yun_files = ['ui-config.json','config.json','styles.csv']"]},{"cell_type":"code","execution_count":41,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:40:59.798344Z","iopub.status.busy":"2023-05-16T03:40:59.797606Z","iopub.status.idle":"2023-05-16T03:40:59.814269Z","shell.execute_reply":"2023-05-16T03:40:59.812978Z","shell.execute_reply.started":"2023-05-16T03:40:59.798301Z"},"trusted":true},"outputs":[],"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\n","extensions = [\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","]\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）\n","sd_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\n","sd_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）\n","vae_model = []\n","#VAE模型下载链接放这里\n","vae_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：\n","lora_model = [\n","#'/kaggle/input/lora-1',\n","] \n","# Lora模型下载链接放这里\n","lora_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","]\n","\n","# ControlNet模型data请放在这里：\n","cn_model = [\n","]\n","# controlnet模型下载链接放这里\n","cn_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：\n","hypernetworks_model = []\n","#Hypernetworks超网络模型下载链接请放在这里\n","hypernetworks_model_urls = []\n","\n","#放大算法路径请放在这里\n","ESRGAN = []\n","#放大算法链接请放在这里\n","ESRGAN_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:\n","embeddings_model = [\n","'/kaggle/input/bad-embedding',\n","] \n","embeddings_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","#tag词库文件导入\n","tags = []\n"]},{"cell_type":"code","execution_count":42,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:40:59.816588Z","iopub.status.busy":"2023-05-16T03:40:59.816041Z","iopub.status.idle":"2023-05-16T03:40:59.827782Z","shell.execute_reply":"2023-05-16T03:40:59.826790Z","shell.execute_reply.started":"2023-05-16T03:40:59.816508Z"},"trusted":true},"outputs":[],"source":["#ngrok穿透\n","ngrok_use = True\n","ngrokTokenFile='/kaggle/input/ngroktoken/Authtoken.txt' # 非必填 存放ngrokToken的文件的路径\n","#Frp 内网穿透\n","use_frpc = False\n","frpconfigfile = '/kaggle/input/frpc-config/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\n","usedCkpt = 'cetusMix_Coda2.safetensors'\n","\n","#启动参数\n","args = [\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","    '--disable-safe-unpickle',\n","    '--no-gradio-queue'\n","]"]},{"cell_type":"code","execution_count":43,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:40:59.831513Z","iopub.status.busy":"2023-05-16T03:40:59.831078Z","iopub.status.idle":"2023-05-16T03:40:59.839816Z","shell.execute_reply":"2023-05-16T03:40:59.838424Z","shell.execute_reply.started":"2023-05-16T03:40:59.831474Z"},"trusted":true},"outputs":[],"source":["use2 = False#是否开启两个webui\n","#ngrok穿透\n","ngrok_use1 = True\n","ngrokTokenFile1='/kaggle/input/ngroktoken/Authtoken1.txt' # 非必填 存放ngrokToken的文件的路径\n","#Frp 内网穿透\n","use_frpc1 = False\n","frpconfigfile1 = '/kaggle/input/frpc-config/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\n","usedCkpt1 = 'cetusMix_Coda2.safetensors'\n","\n","#启动参数\n","args1 = [\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","    '--disable-safe-unpickle',\n","    '--no-gradio-queue'\n","]"]},{"cell_type":"code","execution_count":44,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:40:59.842270Z","iopub.status.busy":"2023-05-16T03:40:59.841449Z","iopub.status.idle":"2023-05-16T03:40:59.852119Z","shell.execute_reply":"2023-05-16T03:40:59.850941Z","shell.execute_reply.started":"2023-05-16T03:40:59.842226Z"},"trusted":true},"outputs":[],"source":["#使用的库\n","from pathlib import Path\n","import subprocess\n","import pandas as pd\n","import shutil\n","import os\n","import time\n","import re\n","import gc\n","import requests\n","from concurrent.futures import ProcessPoolExecutor\n","os.environ['install_path'] = install_path"]},{"cell_type":"code","execution_count":45,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:40:59.974641Z","iopub.status.busy":"2023-05-16T03:40:59.973591Z","iopub.status.idle":"2023-05-16T03:40:59.995773Z","shell.execute_reply":"2023-05-16T03:40:59.994528Z","shell.execute_reply.started":"2023-05-16T03:40:59.974596Z"},"trusted":true},"outputs":[],"source":["#功能函数，内存优化\n","def 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","        os.system('apt -y install -qq aria2')\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')"]},{"cell_type":"code","execution_count":46,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:40:59.999249Z","iopub.status.busy":"2023-05-16T03:40:59.998689Z","iopub.status.idle":"2023-05-16T03:41:00.145285Z","shell.execute_reply":"2023-05-16T03:41:00.143844Z","shell.execute_reply.started":"2023-05-16T03:40:59.999212Z"},"trusted":true},"outputs":[],"source":["#功能函数，环境和sd_webui安装\n","def 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","    \n","def 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_torch2_cu118_xf19.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","        !tar -xzf /kaggle/working/venv.tar.gz\n","        !source /opt/conda/bin/activate venv\n","        print('环境安装完毕')\n","\n","#安装webui\n","def 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 $install_path/stable-diffusion-webui/\n","        #Use lastest version\n","        !git checkout 5ab7f213bec2f816f9c5644becb32eb72c8ffb89\n","        with open('launch.py', 'r') as f:\n","            content = f.read()\n","        with open('launch.py', 'w') as f:\n","            f.write('import ssl\\n')\n","            f.write('ssl._create_default_https_context = ssl._create_unverified_context\\n')\n","            f.write(content)\n","        print('stable-diffusion-webui已安装')\n","    if huggingface_use:\n","        webui_config_download(yun_files, huggiingface_repo_id)"]},{"cell_type":"code","execution_count":47,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:41:00.147652Z","iopub.status.busy":"2023-05-16T03:41:00.147230Z","iopub.status.idle":"2023-05-16T03:41:00.173372Z","shell.execute_reply":"2023-05-16T03:41:00.172297Z","shell.execute_reply.started":"2023-05-16T03:41:00.147611Z"},"trusted":true},"outputs":[],"source":["from concurrent.futures import ThreadPoolExecutor\n","# 安装插件，下载和同步模型\n","def install_extensions(install_path, extensions):\n","    print('安装插件，此处出现红条是正常的')\n","    os.chdir(os.path.join(install_path, 'stable-diffusion-webui'))\n","    os.makedirs('extensions', exist_ok=True)\n","    os.chdir('extensions')\n","    for ex in extensions:\n","        repo_name = ex.split('/')[-1]\n","        if not os.path.exists(repo_name):\n","            os.system('git clone ' + ex)\n","    \n","def download_link(link, target_folder):\n","    if link.startswith('https://huggingface.co/'):\n","        filename = re.search(r'[^/]+$', 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","\n","def download_links(links, target_folder):\n","    tasks = []\n","    for link in links:\n","        tasks.append(download_link(link, target_folder))\n","    return tasks\n","\n","def 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","# 下载模型文件\n","def 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","    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(embeddings_model_urls, f'{install_path}/stable-diffusion-webui/embeddings'))\n","\n","    download_links_all(tasks)\n","\n","def 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\n","def 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","    \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"]},{"cell_type":"code","execution_count":48,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:41:00.178170Z","iopub.status.busy":"2023-05-16T03:41:00.177792Z","iopub.status.idle":"2023-05-16T03:41:00.190003Z","shell.execute_reply":"2023-05-16T03:41:00.188823Z","shell.execute_reply.started":"2023-05-16T03:41:00.178129Z"},"trusted":true},"outputs":[],"source":["# 功能函数：内网穿透\n","#ngrok\n","def 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 \n","import subprocess\n","\n","def 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"]},{"cell_type":"code","execution_count":49,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:41:00.193492Z","iopub.status.busy":"2023-05-16T03:41:00.192665Z","iopub.status.idle":"2023-05-16T03:41:00.213343Z","shell.execute_reply":"2023-05-16T03:41:00.212204Z","shell.execute_reply.started":"2023-05-16T03:41:00.193454Z"},"trusted":true},"outputs":[],"source":["#sd_webui启动\n","def start_webui1():\n","    if use2:\n","        install_Frpc('7861',frpconfigfile1,use_frpc1)\n","        ngrok_start(ngrokTokenFile1,7861,'第二个webui',ngrok_use1)\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","\n","def start_webui():\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","    args.append(f'--ckpt=models/Stable-diffusion/{usedCkpt}')\n","    !/opt/conda/envs/venv/bin/python3 launch.py {' '.join(args)}"]},{"cell_type":"code","execution_count":50,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:41:00.218178Z","iopub.status.busy":"2023-05-16T03:41:00.216909Z","iopub.status.idle":"2023-05-16T03:41:00.227733Z","shell.execute_reply":"2023-05-16T03:41:00.226705Z","shell.execute_reply.started":"2023-05-16T03:41:00.218135Z"},"trusted":true},"outputs":[],"source":["def main():\n","    startTicks = time.time()\n","    libtcmalloc()\n","    with ProcessPoolExecutor() as executor:\n","        futures = [executor.submit(func) for func in [install_webui, venv_install]]\n","        for future in futures:\n","            future.result()\n","    install_extensions(install_path, extensions)\n","    download_model()\n","    link_models()\n","    ticks = time.time()\n","    print(\"加载耗时:\",(ticks - startTicks),\"s\")\n","    gc.collect()\n","    with ProcessPoolExecutor() as executor:\n","        futures = []\n","        for func in [start_webui, start_webui1]:\n","            futures.append(executor.submit(func))\n","            time.sleep(1)\n","        for future in futures:\n","            future.result()"]},{"cell_type":"code","execution_count":51,"metadata":{"execution":{"iopub.execute_input":"2023-05-16T03:41:00.229974Z","iopub.status.busy":"2023-05-16T03:41:00.229595Z","iopub.status.idle":"2023-05-16T03:41:00.275444Z","shell.execute_reply":"2023-05-16T03:41:00.273967Z","shell.execute_reply.started":"2023-05-16T03:41:00.229933Z"},"trusted":true},"outputs":[],"source":["#功能函数，清理打包上传\n","from pathlib import Path\n","from huggingface_hub import HfApi, login\n","\n","def 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","\n","def 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","\n","def zip_clear_updata():\n","    if zip_output:\n","        output_folder = f'{install_path}/stable-diffusion-webui/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 $install_path/stable-diffusion-webui/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)"]},{"cell_type":"code","execution_count":null,"metadata":{"_kg_hide-input":true,"_kg_hide-output":false,"execution":{"iopub.execute_input":"2023-05-16T03:41:00.278582Z","iopub.status.busy":"2023-05-16T03:41:00.277806Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["内存优化已安装\n","/kaggle/working/opt/conda/envs\n","\n","环境已安装stable-diffusion-webui已安装\n","\n","/kaggle/working/stable-diffusion-webui\n","安装插件，此处出现红条是正常的\n","加载耗时: 3.3571033477783203 s\n","use nrgok\n","第一个webui：https://187c-34-74-133-126.ngrok-free.app\n","/kaggle/working/stable-diffusion-webui\n","use nrgok\n","第二个webui：https://72fc-34-74-133-126.ngrok-free.app\n","/kaggle/working/stable-diffusion-webui\n","Python 3.10.10 | packaged by conda-forge | (main, Mar 24 2023, 20:08:06) [GCC 11.3.0]\n","Commit hash: 5ab7f213bec2f816f9c5644becb32eb72c8ffb89\n","Python 3.10.10 | packaged by conda-forge | (main, Mar 24 2023, 20:08:06) [GCC 11.3.0]\n","Commit hash: 5ab7f213bec2f816f9c5644becb32eb72c8ffb89\n","Installing requirements\n","Installing requirements\n","\n","\n","\n","\n","\n","\n","Launching Web UI with arguments: --xformers --lowram --no-hashing --disable-nan-check --enable-insecure-extension-access --disable-console-progressbars --enable-console-prompts --disable-safe-unpickle --no-gradio-queue --ckpt=models/Stable-diffusion/cetusMix_Coda2.safetensors\n","\n","\n","\n","\n","Launching Web UI with arguments: --share --xformers --lowram --no-hashing --disable-nan-check --enable-insecure-extension-access --disable-console-progressbars --enable-console-prompts --disable-safe-unpickle --no-gradio-queue --ckpt=models/Stable-diffusion/cetusMix_Coda2.safetensors --port 7861 --device-id=1\n","Civitai Helper: Get Custom Model Folder\n","Civitai Helper: Load setting from: /kaggle/working/stable-diffusion-webui/extensions/Stable-Diffusion-Webui-Civitai-Helper/setting.json\n","Civitai Helper: No setting file, use default\n","Civitai Helper: Get Custom Model Folder\n","Civitai Helper: Load setting from: /kaggle/working/stable-diffusion-webui/extensions/Stable-Diffusion-Webui-Civitai-Helper/setting.json\n","Civitai Helper: No setting file, use default\n","Additional Network extension not installed, Only hijack built-in lora\n","LoCon Extension hijack built-in lora successfully\n","Additional Network extension not installed, Only hijack built-in lora\n","LoCon Extension hijack built-in lora successfully\n","ControlNet v1.1.173\n","ControlNet v1.1.173\n","ControlNet v1.1.173\n","Image Browser: ImageReward is not installed, cannot be used.\n","ControlNet v1.1.173\n","Image Browser: ImageReward is not installed, cannot be used.\n","Loading weights [None] from /kaggle/working/stable-diffusion-webui/models/Stable-diffusion/cetusMix_Coda2.safetensors\n","Loading weights [None] from /kaggle/working/stable-diffusion-webui/models/Stable-diffusion/cetusMix_Coda2.safetensors\n","Creating model from config: /kaggle/working/stable-diffusion-webui/configs/v1-inference.yaml\n","LatentDiffusion: Running in eps-prediction mode\n","Creating model from config: /kaggle/working/stable-diffusion-webui/configs/v1-inference.yaml\n","LatentDiffusion: Running in eps-prediction mode\n","DiffusionWrapper has 859.52 M params.\n","DiffusionWrapper has 859.52 M params.\n","Loading VAE weights specified in settings: /kaggle/working/stable-diffusion-webui/models/VAE/vae-ft-ema-560000-ema-pruned.safetensors\n","Loading VAE weights specified in settings: /kaggle/working/stable-diffusion-webui/models/VAE/vae-ft-ema-560000-ema-pruned.safetensors\n","Applying xformers cross attention optimization.\n","Applying xformers cross attention optimization.\n","Textual inversion embeddings loaded(7): bad-artist, bad-artist-anime, bad-hands-5, bad-image-v2-39000, bad_prompt_version2, EasyNegative, ng_deepnegative_v1_75t\n","Model loaded in 16.6s (load weights from disk: 4.3s, create model: 1.7s, apply weights to model: 6.5s, apply half(): 1.6s, load VAE: 1.3s, move model to device: 1.2s).\n","Textual inversion embeddings loaded(7): bad-artist, bad-artist-anime, bad-hands-5, bad-image-v2-39000, bad_prompt_version2, EasyNegative, ng_deepnegative_v1_75t\n","Model loaded in 16.3s (load weights from disk: 4.2s, create model: 1.7s, apply weights to model: 7.2s, apply half(): 1.6s, load VAE: 0.6s, move model to device: 0.9s).\n","Running on local URL:  http://127.0.0.1:7860\n","\n","To create a public link, set `share=True` in `launch()`.\n","Startup time: 30.5s (import torch: 2.5s, import gradio: 1.9s, import ldm: 1.5s, other imports: 1.6s, setup codeformer: 0.2s, load scripts: 2.7s, load SD checkpoint: 16.6s, create ui: 3.1s, gradio launch: 0.4s).\n","Running on local URL:  http://127.0.0.1:7861\n","Running on public URL: https://ebbb4b3a511ad10ea5.gradio.live\n","\n","This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n","Startup time: 33.2s (import torch: 2.1s, import gradio: 1.8s, import ldm: 1.5s, other imports: 1.5s, setup codeformer: 0.2s, load scripts: 2.6s, load SD checkpoint: 16.3s, create ui: 3.1s, gradio launch: 4.1s).\n","Loading weights [None] from /kaggle/working/stable-diffusion-webui/models/Stable-diffusion/9527-non-ema-fp16.safetensors\n","Loading VAE weights specified in settings: /kaggle/working/stable-diffusion-webui/models/VAE/vae-ft-ema-560000-ema-pruned.safetensors\n","Applying xformers cross attention optimization.\n","Weights loaded in 10.6s (load weights from disk: 8.8s, apply weights to model: 0.7s, load VAE: 0.4s, move model to device: 0.6s).\n"]}],"source":["# start\n","main()"]},{"cell_type":"code","execution_count":null,"metadata":{"trusted":true},"outputs":[],"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\n","zip_clear_updata()"]},{"cell_type":"code","execution_count":null,"metadata":{"trusted":true},"outputs":[],"source":["#模型下载器，手动执行后出现一个交互式表格\n","import os\n","install_path=\"/kaggle/working\" \n","os.environ['install_path'] = install_path\n","def model_down_tool():\n","    import ipywidgets as widgets\n","    from IPython.display import display\n","    import subprocess\n","    def download_with_aria2(link, file_path):\n","        # 设置aria2c命令行参数\n","        cmd = ['aria2c','--console-log-level=error', link, '-o', file_path, '-x', '16', '-s', '16', '-k', '1M']\n","        # 调用aria2c下载文件\n","        try:\n","            subprocess.run(cmd, check=True)\n","            print(f\"文件已保存到: {file_path}\")\n","        except subprocess.CalledProcessError as e:\n","            print(f\"下载失败: {e}\")\n","    def sdmodel_down(link, model_name):\n","        # 设置模型保存的文件夹路径\n","        %cd $install_path\n","        save_dir = 'stable-diffusion-webui/models/Stable-diffusion'\n","        if not os.path.exists(save_dir):\n","            os.makedirs(save_dir)\n","    \n","        # 设置模型保存的文件名\n","        file_name = f\"{model_name}\"\n","        file_path = os.path.join(save_dir, file_name)\n","    \n","        # 下载模型\n","        download_with_aria2(link, file_path)\n","    \n","        print(f\"模型已保存到: {file_path}\")\n","\n","    def vae_down(link, model_name):\n","        # 设置模型保存的文件夹路径\n","        %cd $install_path\n","        save_dir = 'stable-diffusion-webui/models/VAE'\n","        if not os.path.exists(save_dir):\n","            os.makedirs(save_dir)\n","\n","        # 设置模型保存的文件名\n","        file_name = f\"{model_name}\"\n","        file_path = os.path.join(save_dir, file_name)\n","\n","        # 下载模型\n","        cmd = ['aria2c','--console-log-level=error', link, '-o', file_path, '-x', '16', '-s', '16', '-k', '1M']\n","\n","        print(f\"模型已保存到: {file_path}\")\n","\n","    def vae_down(link, model_name):\n","        # 设置模型保存的文件夹路径\n","        %cd $install_path\n","        save_dir = 'stable-diffusion-webui/models/Lora'\n","        if not os.path.exists(save_dir):\n","            os.makedirs(save_dir)\n","\n","        # 设置模型保存的文件名\n","        file_name = f\"{model_name}\"\n","        file_path = os.path.join(save_dir, file_name)\n","\n","        # 下载模型\n","        cmd = ['aria2c','--console-log-level=error', link, '-o', file_path, '-x', '16', '-s', '16', '-k', '1M']\n","\n","        print(f\"模型已保存到: {file_path}\")\n","        \n","    model_type = widgets.Dropdown(\n","        options=['sd大模型', 'vae模型', 'Lora模型'],\n","        description='模型类型:',\n","        disabled=False,\n","    )\n","\n","    link = widgets.Text(\n","        value='',\n","        placeholder='输入链接',\n","        description='链接:',\n","        disabled=False\n","    )\n","\n","    model_name = widgets.Text(\n","        value='',\n","        placeholder='输入模型名称',\n","        description='模型名:',\n","        disabled=False\n","    )\n","\n","    def on_submit(btn):\n","        if model_type.value == 'sd大模型':\n","            sdmodel_down(link.value, model_name.value)\n","        elif model_type.value == 'vae模型':\n","            vae_down(link.value, model_name.value)\n","        else:\n","            lora_down(link.value, model_name.value)\n","\n","    submit = widgets.Button(description=\"提交\")\n","    submit.on_click(on_submit)\n","\n","    display(model_type, link, model_name, submit)\n","#模型下载器\n","model_down_tool()\n","#safetensors"]}],"metadata":{"kernelspec":{"display_name":"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":"3.7.12"}},"nbformat":4,"nbformat_minor":4}