{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","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":"# 这只是一个完整项目的一部分 不能运行的 \n- 可以从这个地址运行 [点击打开](https://www.kaggle.com/viyiviyi/sdwui-before)\n---","metadata":{"id":"6zE2QeUKLCtC"}},{"cell_type":"code","source":"update_desc = '''\n欢迎使用 stable-diffusion-webui 便捷启动脚本\n\n此脚本理论上可以在任何jupyter环境运行，但仅在 google colab 和 kaggle 测试。\n此脚本的【前置脚本】发布地址 https://www.kaggle.com/code/yiyiooo/stable-diffusion-webui-novelai。\n此脚本需配合 【前置脚本】 的脚本附带的配置项才能正常启动。\n此脚本的内容会自动更新，你无需更新【前置脚本】就能获取到最新的功能。\n如果新功能需要增加新的配置项，可以在更新日志中查看到。\n\n路径说明\n*  为了解决平台差异，所有的安装目录和文件输出目录都被重新指定，如果你需要在配置中访问这些目录，请查看以下说明\n*\n*  如果链接了谷歌云盘，将会在云盘根目录创建 sdwebui 的文件夹，文件夹内的 Input 目录将会作为 输入目录； Output 将会作为输出目录\n*  可以使用 $install_path 或 {install_path} 来访问安装目录，写在字符串内也会生效\n*  stable-diffusion-webui 的目录固定是： {install_path}/stable-diffusion-webui 或 $install_path/stable-diffusion-webui\n*  $output_path 或 {output_path} 可以访问输出目录\n*  $input_path 或 {input_path} 可以访问输入目录 在kaggle是数据集根目录\n\n更新日志\n*  23-08-01\n*  估计是新的gradio的问题，需要禁用 --no-gradio-queue 启动参数才能正常访问，否则会一直处于加载界面，所以这个参数会被屏蔽不再生效\n*\n*  23-07-30\n*  使用新的文件加载逻辑重写完成，文件加载和加载更加简单，可以支持自定义下载或加载文件的目标目录了\n*\n*  23-07-26\n*  增加可隐藏启动时的不重要信息 通过增加配置 [hidden_console_info = True] 开启\n*\n*  23-07-22\n*  更新了可自动同步收藏目录到 https://huggingface.co/ 的功能\n*  可通过增加配置项 huggingface_token = \"token\" 和 huggingface_repo = “仓库id” 后使用此功能\n*\n*  23-07-18  \n*  如果有两个GPU 第二个GPU将会启动api服务，可用api的方式调用，和webui互相独立，绘图时不会导致另外一边卡顿\n*  通过/1/作为base url来访问这个api\n*  没有启动两个webui是因为，很大概率爆内存\n'''","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from pathlib import Path\nimport os\nimport time\nimport re\nimport subprocess\nimport threading\nimport sys\nimport socket\nimport torch\nfrom typing import List\n\nrun_by_none_device = False\n\n# 检查gpu是否存在\ndef check_gpu():\n    if not run_by_none_device and torch.cuda.device_count() == 0:\n        raise Exception('当前环境没有GPU')\n\ninstall_path=f\"{os.environ['HOME']}/sdwebui\" # 安装目录\noutput_path=f\"{os.environ['HOME']}/sdwebui/Output\" # 输出目录 如果使用google云盘 会在google云盘增加sdwebui/Output\ninput_path = '/kaggle/input' # 输入目录\n\ngoogle_drive = '' \n# 连接谷歌云\ntry:\n    if useGooglrDrive:\n        from google.colab import drive\n        drive.mount(f'~/google_drive')\n        google_drive = f\"{os.environ['HOME']}/google_drive/MyDrive\"\n        output_path = f'{google_drive}/sdwebui/Output'\n        input_path = f'{google_drive}/sdwebui/Input'\n        !mkdir -p {input_path}\n        # 设置文件路径\n        if setting_file== '/kaggle/working/configs/config.json':\n            setting_file = os.path.join(output_path,'configs/config.json')\n        if ui_config_file == '/kaggle/working/configs/ui-config.json':\n            ui_config_file = os.path.join(output_path,'configs/ui-config.json')\n        print('''\n已经链接到谷歌云盘\n云盘根目录/sdwebui/Output 被链接为输出目录，图片和设置文件将会保存在此文件夹\n云盘根目录/sdwebui/Input 被链接为输入目录，环境变量名是 $input_path\n        ''')\nexcept:\n    useGooglrDrive = False\n\n!mkdir -p {install_path}\n!mkdir -p {output_path}\n\nos.environ['install_path'] = install_path\nos.environ['output_path'] = output_path\nos.environ['google_drive'] = google_drive\nos.environ['input_path'] = input_path\n\ndef replace_path(input_str:str):\n    return input_str.replace('$install_path',install_path)\\\n    .replace('{install_path}',install_path)\\\n    .replace('$input_path',input_path)\\\n    .replace('{input_path}',input_path)\\\n    .replace('$output_path',output_path)\\\n    .replace('{output_path}',output_path)\n\nspace_string = ' \\n\\r\\t\\'\\\",'\n\ndef config_reader(conf:str):\n    args = [replace_path(item.split('#')[0].strip(space_string)) for item in conf.split('\\n') if item.strip(space_string)]\n    return [item.strip() for item in args if item.strip()]\n","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ngrokTokenFile = os.path.join(input_path,'configs/ngrok_token.txt') # 非必填 存放ngrokToken的文件的路径\nfrpcConfigFile = os.path.join(input_path,'configs/frpc_koishi.ini') # 非必填 frp 配置文件\n# ss证书目录 下载nginx的版本，把pem格式改成crt格式\nfrpcSSLFFlies =[os.path.join(input_path,'configs/koishi_ssl')]+config_reader(frpSSL文件)\n# frpc 文件目录 如果目录不存在，会自动下载，也可以在数据集搜索 viyiviyi/utils 添加\nfrpcExePath = os.path.join(input_path,'utils-tools/frpc')\n# 其他需要加载的webui启动参数 写到【参数列表】这个配置去\notherArgs = ' '.join([item for item in config_reader(参数列表) if item != '--no-gradio-queue'])\n\nvenvPath = os.path.join(input_path,'sd-webui-venv/venv.tar.bak') # 安装好的python环境 sd-webui-venv是一个公开是数据集 可以搜索添加\n\n# 用于使用kaggle api的token文件 参考 https://www.kaggle.com/docs/api\n# 此文件用于自动上传koishi的相关配置 也可以用于保存重要的输出文件\nkaggleApiTokenFile = os.path.join(input_path,'configs/kaggle.json')\n\nrequirements = []\n","metadata":{"_kg_hide-input":true,"id":"i3LhnwYHLCtC","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# 这下面的是用于初始化一些值或者环境变量的，轻易别改\nsetting_file = replace_path(setting_file)\nui_config_file = replace_path(ui_config_file)\n\nfrpcStartArg = ''\n\nfrp配置文件或配置 = replace_path(frp配置文件或配置)\nngrok配置或文件地址 = replace_path(ngrok配置或文件地址)\n\n!mkdir -p $install_path/configFiles\nif Path(frp配置文件或配置.strip()).exists():\n    frpcConfigFile = frp配置文件或配置.strip()\nif not Path(frpcConfigFile).exists(): \n    if frp配置文件或配置.strip().startswith('-f'):\n        frpcStartArg = frp配置文件或配置.strip()\n    else:\n        print('没有frpcp配置')\n        useFrpc = False\nelse:\n    !cp -f {frpcConfigFile} {install_path}/configFiles/frpc_webui.ini\n    frpcConfigFile = f'{install_path}/configFiles/frpc_webui.ini'\n    !sed -i \"s/local_port = .*/local_port = {webuiPort}/g\" {frpcConfigFile}\n    frpcStartArg = f' -c {frpcConfigFile}'\n\nngrokToken=''\nif Path(ngrok配置或文件地址.strip()).exists():\n    ngrokTokenFile = ngrok配置或文件地址.strip()\nif Path(ngrokTokenFile).exists():\n    with open(ngrokTokenFile,encoding = \"utf-8\") as nkfile:\n        ngrokToken = nkfile.readline()\nelif not ngrok配置或文件地址.strip().startswith('/'):\n    ngrokToken=ngrok配置或文件地址.strip()\n    \nif not Path(venvPath).exists():\n    venvPath = os.path.join(input_path,'sd-webui-venv/venv.zip')\n","metadata":{"_kg_hide-input":true,"id":"a_GtG2ayLCtD","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 文件下载工具\n\n---\n\nlink_or_download_flie(config:str, skip_url:bool=False, link_instead_of_copy:bool=True, base_path:str = '',sync:bool=False,thread_num:int=None)","metadata":{}},{"cell_type":"code","source":"import concurrent.futures\nimport importlib\nimport os\nimport pprint\nimport re\nimport subprocess\nfrom pathlib import Path\nfrom typing import List\n\nimport requests\n\nshow_shell_info = False\n\ndef run(command, cwd=None, desc=None, errdesc=None, custom_env=None,try_error:bool=True) -> str:\n    global show_shell_info\n    if desc is not None:\n        print(desc)\n\n    run_kwargs = {\n        \"args\": command,\n        \"shell\": True,\n        \"cwd\": cwd,\n        \"env\": os.environ if custom_env is None else custom_env,\n        \"encoding\": 'utf8',\n        \"errors\": 'ignore',\n    }\n\n    if not show_shell_info:\n        run_kwargs[\"stdout\"] = run_kwargs[\"stderr\"] = subprocess.PIPE\n\n    result = subprocess.run(**run_kwargs)\n\n    if result.returncode != 0:\n        error_bits = [\n            f\"{errdesc or 'Error running command'}.\",\n            f\"Command: {command}\",\n            f\"Error code: {result.returncode}\",\n        ]\n        if result.stdout:\n            error_bits.append(f\"stdout: {result.stdout}\")\n        if result.stderr:\n            error_bits.append(f\"stderr: {result.stderr}\")\n        if try_error:\n            print(RuntimeError(\"\\n\".join(error_bits)))\n        else:\n            raise RuntimeError(\"\\n\".join(error_bits))\n\n    if show_shell_info:\n        print(result.stdout or \"\")\n    return (result.stdout or \"\")\n\ndef is_installed(package):\n    try:\n        spec = importlib.util.find_spec(package)\n    except ModuleNotFoundError:\n        return False\n\n    return spec is not None\n\ndef download_file(url:str, filename:str, dist_path:str, cache_path = '',link_instead_of_copy:bool=True):\n    # 获取文件的真实文件名\n    if not filename:\n        with requests.get(url, stream=True) as r:\n            if 'Content-Disposition' in r.headers:\n                filename = r.headers['Content-Disposition'].split('filename=')[1].strip('\"')\n            r.close()\n    if not filename and re.search(r'/[^/]+\\.[^/]+$',url):\n        filename = url.split('/')[-1]\n    \n    filename = re.sub(r'[\\\\/:*?\"<>|;]', '', filename)\n    filename = re.sub(r'[\\s\\t]+', '_', filename)\n    \n    if show_shell_info:\n        print(f'下载 {filename} url: {url} --> {dist_path}')\n    \n    # 创建目录\n    if cache_path and not Path(cache_path).exists():\n        os.makedirs(cache_path,exist_ok=True)\n    if dist_path and not Path(dist_path).exists():\n        os.makedirs(dist_path,exist_ok=True)\n        \n    # 拼接文件的完整路径\n    filepath = os.path.join(dist_path, filename)\n\n    if cache_path:\n        cache_path = os.path.join(cache_path, filename)\n        \n    # 判断文件是否已存在\n    if Path(filepath).exists():\n        print(f'文件 {filename} 已存在 {dist_path}')\n        return\n    \n    if cache_path and Path(cache_path).exists():\n        run(f'cp -n -r -f {\"-s\" if link_instead_of_copy else \"\"} {cache_path} {dist_path}')\n        if show_shell_info:\n            print(f'文件缓存 {cache_path} --> {dist_path}')\n        return\n    # 下载文件\n    with requests.get(url, stream=True) as r:\n        r.raise_for_status()\n        with open(cache_path or filepath, 'wb') as f:\n            for chunk in r.iter_content(chunk_size=8192):\n                if chunk:\n                    f.write(chunk)\n    # 如果使用了缓存目录 需要复制或链接文件到目标目录\n    if cache_path:\n        run(f'cp -n -r -f {\"-s\" if link_instead_of_copy else \"\"} {cache_path} {dist_path}')\n    if show_shell_info:\n        print(f'下载完成 {filename} --> {dist_path}')\n        \ndef download_git(url, dist_path, cache_path = '',link_instead_of_copy:bool=True):\n    if not Path(dist_path).exists():\n        os.makedirs(dist_path,exist_ok=True)\n    if show_shell_info:\n        print(f'git 下载 {url} --> {dist_path}')\n    if cache_path and not Path(cache_path).exists():\n        os.makedirs(cache_path,exist_ok=True)\n        run(f'git clone {url}',cwd = cache_path)\n    if cache_path:\n        run(f'cp -n -r -f {cache_path}/* {dist_path}')\n    else:\n        run(f'git clone {url}',cwd = dist_path)\n    if show_shell_info:\n        print(f'git 下载完成 {url} --> {dist_path}')\n    \n    \n    \n# 加入文件到下载列表\ndef pause_url(url:str,dist_path:str):\n    file_name = ''\n    if re.match(r'^[^:]+:(https?|ftps?)://', url, flags=0):\n        file_name = re.findall(r'^[^:]+:',url)[0][:-1]\n        url = url[len(file_name)+1:]\n    if not re.match(r'^(https?|ftps?)://',url):\n        return\n    file_name = re.sub(r'\\s+','_',file_name or '')\n    path_hash = str(hash(url)).replace('-','')\n    \n    return {'file_name':file_name,'path_hash':path_hash,'url':url,'dist_path':dist_path}\n\ndef download_urls(download_list:List[dict[str,str]],sync:bool=False,thread_num:int=5, \n                  cache_path:str=os.path.join(os.environ['HOME'],'.cache','download_util'),\n                  link_instead_of_copy:bool=True,is_await:bool=False):\n    if sync:\n        for conf in download_list:\n            cache_dir = os.path.join(cache_path,conf['path_hash'])\n            if conf['url'].startswith('https://github.com'):\n                download_git(conf['url'],conf['dist_path'],cache_path=cache_dir,link_instead_of_copy=link_instead_of_copy)\n                continue\n            download_file(conf['url'],conf['file_name'],conf['dist_path'],cache_path=cache_dir,link_instead_of_copy=link_instead_of_copy)\n    else:\n        executor = concurrent.futures.ThreadPoolExecutor(max_workers=5)\n        futures = []\n        for conf in download_list:\n            cache_dir = os.path.join(cache_path,conf['path_hash'])\n            if conf['url'].startswith('https://github.com'):\n                futures.append(executor.submit(download_git, conf['url'],conf['dist_path'],\n                                                cache_path=cache_dir,link_instead_of_copy=link_instead_of_copy))\n                continue\n            futures.append(executor.submit(download_file, conf['url'],conf['file_name'],conf['dist_path'],\n                                            cache_path=cache_dir,link_instead_of_copy=link_instead_of_copy))\n        if is_await:\n            concurrent.futures.wait(futures)\n            \n                          \ndef parse_config(config:str):\n    space_string = ' \\n\\r\\t\\'\\\",'\n    other_flie_list = [item.split('#')[0].strip(space_string) for item in config.split('\\n') if item.strip(space_string)]\n    other_flie_list = [item.strip() for item in other_flie_list if item.strip()]\n    other_flie_list_store = {}\n    other_flie_list_store_name='default'\n    other_flie_list_store_list_cache=[]\n    \n    for item in other_flie_list:\n        if item.startswith('[') and item.endswith(']'):\n            if not other_flie_list_store_name == 'default':\n                other_flie_list_store[other_flie_list_store_name]=other_flie_list_store_list_cache\n                other_flie_list_store_list_cache = []\n            other_flie_list_store_name = item[1:-1]\n        else:\n            other_flie_list_store_list_cache.append(item)\n    other_flie_list_store[other_flie_list_store_name]=other_flie_list_store_list_cache\n    \n    return other_flie_list_store\n\n\ndef link_or_download_flie(config:str, skip_url:bool=False, link_instead_of_copy:bool=True, base_path:str = '',\n                          sync:bool=False,thread_num:int=None, is_await:bool=False):\n    store:dict[str,List[str]] = parse_config(config)\n    download_list = []\n    for dist_dir in store.keys():\n        dist_path = os.path.join(base_path,dist_dir)\n        os.makedirs(dist_path,exist_ok=True)\n        for path in store[dist_dir]:\n            if 'https://' in path or 'http://' in path:\n                if skip_url:\n                    continue\n                if sync:\n                    download_urls([pause_url(path,dist_path)],link_instead_of_copy = link_instead_of_copy, sync=sync)\n                    continue\n                download_list.append(pause_url(path,dist_path))\n            else:\n                run(f'cp -n -r -f {\"-s\" if link_instead_of_copy else \"\"} {path} {dist_path}')\n                if show_shell_info:\n                    print(f'{\"链接\" if link_instead_of_copy else \"复制\"} {path} --> {dist_path}')\n        run(f'rm -f {dist_path}/\\*.* ')\n    if not skip_url:\n        if show_shell_info:\n            pprint.pprint(download_list)\n        download_urls(download_list,link_instead_of_copy = link_instead_of_copy, sync=sync, thread_num=thread_num or 2,is_await=is_await)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## kaggle public API\n\n**不能使用%cd这种会改变当前工作目录的命令，会导致和其他线程冲突**\n\n---","metadata":{"id":"p0uS-BLULCtD"}},{"cell_type":"code","source":"# 安装kaggle的api token文件\ndef initKaggleConfig():\n    if Path('~/.kaggle/kaggle.json').exists():\n        return True\n    if Path(kaggleApiTokenFile).exists():\n        !mkdir -p ~/.kaggle/\n        run('cp '+kaggleApiTokenFile+' ~/.kaggle/kaggle.json')\n        !chmod 600 ~/.kaggle/kaggle.json\n        return True\n    print('缺少kaggle的apiToken文件，访问：https://www.kaggle.com/你的kaggle用户名/account 获取')\n    return False\n\ndef getUserName():\n    if not initKaggleConfig(): return\n    import kaggle\n    return kaggle.KaggleApi().read_config_file()['username']\n\ndef createOrUpdateDataSet(path:str,datasetName:str):\n    if not initKaggleConfig(): return\n    print('创建或更新数据集 '+datasetName)\n    import kaggle\n    run('mkdir -p $install_path/kaggle_cache')\n    run('rm -rf $install_path/kaggle_cache/*')\n    datasetDirPath = install_path+'/kaggle_cache/'+datasetName\n    run('mkdir -p '+datasetDirPath)\n    run('cp -f '+path+' '+datasetDirPath+'/')\n    username = getUserName()\n    print(\"kaggle username:\"+username)\n    datasetPath = username+'/'+datasetName\n    datasetList = kaggle.api.dataset_list(mine=True,search=datasetPath)\n    print(datasetList)\n    if len(datasetList) == 0 or datasetPath not in [str(d) for d in datasetList]: # 创建 create\n        run('kaggle datasets init -p' + datasetDirPath)\n        metadataFile = datasetDirPath+'/dataset-metadata.json'\n        run('sed -i s/INSERT_TITLE_HERE/'+ datasetName + '/g ' + metadataFile)\n        run('sed -i s/INSERT_SLUG_HERE/'+ datasetName + '/g ' + metadataFile)\n        run('cat '+metadataFile)\n        run('kaggle datasets create -p '+datasetDirPath)\n        print('create database done')\n    else:\n        kaggle.api.dataset_metadata(datasetPath,datasetDirPath)\n        kaggle.api.dataset_create_version(datasetDirPath, 'auto update',dir_mode='zip')\n        print('upload database done')\n\ndef downloadDatasetFiles(datasetName:str,outputPath:str):\n    if not initKaggleConfig(): return\n    print('下载数据集文件 '+datasetName)\n    import kaggle\n    username = getUserName()\n    datasetPath = username+'/'+datasetName\n    datasetList = kaggle.api.dataset_list(mine=True,search=datasetPath)\n    if datasetPath not in [str(d) for d in datasetList]:\n        return False\n    run('mkdir -p '+outputPath)\n    kaggle.api.dataset_download_files(datasetPath,path=outputPath,unzip=True)\n    return True\n\n","metadata":{"_kg_hide-input":true,"id":"m8FJi4j0LCtD","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 同步文件夹到 huggingface\n\n---","metadata":{}},{"cell_type":"code","source":"# 文件夹与 huggingface 同步\nif 'huggingface_token' in locals() and 'huggingface_repo' in locals():\n    if not is_installed('watchdog'):\n        requirements.append('watchdog')\n    if not is_installed('huggingface_hub'):\n        requirements.append('huggingface_hub')\n    else:\n        try:\n            from huggingface_hub  import HfApi,login,snapshot_download\n        except:\n            requirements.append('huggingface_hub')\n\nhuggingface_is_init = False\n\ndef init_huggingface():\n    if 'huggingface_token' not in globals() or 'huggingface_repo' not in globals():\n        print('请增加配置项 huggingface_token = \"token\" 和 huggingface_repo = “仓库id” 后使用 huggingface 功能')\n        return False\n    global huggingface_is_init\n    from huggingface_hub  import HfApi,login,snapshot_download\n    token = replace_path(huggingface_token)\n    if Path(token).exists():\n        with open(token,encoding = \"utf-8\") as nkfile:\n            token = nkfile.readline()\n    if not token.startswith('hf_'):\n        print('huggingface token 不正确，请将 token 或 仅存放token 的txt文件路径填入 huggingface_token 配置')\n        return False\n    login(token,add_to_git_credential=True)\n    huggingface_is_init = True\n    return True\n\n\ndef download_huggingface_repo(repo_id:str,dist_directory:str=None,repo_type='datasets',callback=None):\n    if not huggingface_is_init:\n        print('huggingface 相关功能未初始化 请调用 init_huggingface() 初始化')\n        \n    if not dist_directory:\n        dist_directory = f'{install_path}/stable-diffusion-webui/log'\n    \n    from huggingface_hub  import HfApi,login,snapshot_download\n    \n    api = HfApi()\n    \n    print('下载收藏的图片')\n    !mkdir -p {install_path}/cache/huggingface\n    if not Path(f'{install_path}/cache/huggingface/{repo_id.split(\"/\")[1]}').exists():\n        run(f'git clone https://huggingface.co/{repo_type}/{repo_id}',cwd=f'{install_path}/cache/huggingface')\n    run(f'cp -r -f -n -s {install_path}/cache/huggingface/{repo_id.split(\"/\")[1]}/* {dist_directory}')\n#     snapshot_download(repo_id = repo_id, local_dir = dist_directory, local_dir_use_symlinks = \"auto\", token=True, repo_type=repo_type )\n    if callback:\n        callback()\n\ndef start_sync_log_to_huggingface(repo_id:str,directory_to_watch:str=None,repo_type='datasets'):\n    if not huggingface_is_init:\n        print('huggingface 相关功能未初始化 请调用 init_huggingface() 初始化')\n    \n    from watchdog.observers import Observer\n    from watchdog.events import FileSystemEventHandler\n    from huggingface_hub  import HfApi,login,snapshot_download\n    \n    # 配置监视的目录和 Hugging Face 仓库信息\n    class FileChangeHandler(FileSystemEventHandler):\n        def __init__(self, api, repo_id, repo_type):\n            self.api = api\n            self.repo_id = repo_id\n            self.repo_type = repo_type\n        def on_created(self, event):\n            if not event.is_directory:\n                # 上传新文件到 Hugging Face 仓库\n                file_path = event.src_path\n                file_name = os.path.basename(file_path)\n                if file_name[-4:] not in ['.png','.jpg','.txt']: return\n                try:\n                    self.api.upload_file(\n                        path_or_fileobj=file_path,\n                        path_in_repo=file_path.replace(directory_to_watch,''),\n                        repo_id=self.repo_id,\n                        repo_type=self.repo_type,\n                    )\n                except Error as error:\n                    print(error)\n\n        def on_deleted(self, event):\n            if not event.is_directory:\n                # 从 Hugging Face 仓库删除文件\n                file_path = event.src_path\n                file_name = os.path.basename(file_path)\n                if file_name[-4:] not in ['.png','.jpg','.txt']: return\n                try:\n                    self.api.delete_file(\n                        path_in_repo=file_path.replace(directory_to_watch,''),\n                        repo_id=self.repo_id,\n                        repo_type=self.repo_type,\n                        )\n                except Error as error:\n                    print(error)\n\n        def on_modified(self, event):\n            if not event.is_directory:\n                # 更新 Hugging Face 仓库中的文件\n                file_path = event.src_path\n                file_name = os.path.basename(file_path)\n                if file_name[-4:] not in ['.png','.jpg','.txt']: return\n                try:\n                    self.api.upload_file(\n                        path_or_fileobj=file_path,\n                        path_in_repo=file_path.replace(directory_to_watch,''),\n                        repo_id=self.repo_id,\n                        repo_type=self.repo_type,\n                    )\n                except Error as error:\n                    print(error)\n\n        def on_moved(self, event):\n            if not event.is_directory:\n                file_path = event.dest_path\n                file_name = os.path.basename(file_path)\n                if file_name[-4:] not in ['.png','.jpg','.txt']: return\n                if event.dest_path.startswith(directory_to_watch):\n                    try:\n                        self.api.upload_file(\n                            path_or_fileobj=file_path,\n                            path_in_repo=file_path.replace(directory_to_watch,''),\n                            repo_id=self.repo_id,\n                            repo_type=self.repo_type,\n                        )\n                    except Error as error:\n                        print(error)\n\n    api = HfApi()\n    \n    if not directory_to_watch:\n        directory_to_watch = f'{install_path}/stable-diffusion-webui/log'\n    # 创建观察者对象并注册文件变化处理程序\n    event_handler = FileChangeHandler(api,repo_id,repo_type)\n    observer = Observer()\n    observer.schedule(event_handler, directory_to_watch, recursive=True)\n\n    # 启动观察者\n    observer.name = \"solo_directory_to_watch\"\n    print(f'启动收藏图片文件夹监听，并自动同步到 huggingface {repo_type} : {repo_id}')\n    observer.start()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 工具函数\n**不能使用%cd这种会改变当前工作目录的命令，会导致和其他线程冲突**\n\n---","metadata":{"id":"sswa04veLCtE"}},{"cell_type":"code","source":"def echoToFile(content:str,path:str):\n    if path.find('/') >= 0:\n        _path = '/'.join(path.split('/')[:-1])\n        !mkdir -p {_path}\n    with open(path,'w') as sh:\n        sh.write(content)\n\ndef zipPath(path:str,zipName:str,format='tar'):\n    if path.startswith('$install_path'):\n        path = path.replace('$install_path',install_path)\n    if path.startswith('$output_path'):\n        path = path.replace('$install_path',output_path)\n    if not path.startswith('/'):\n        path = f'{install_path}/stable-diffusion-webui/{path}'\n    if Path(path).exists():\n        if 'tar' == format:\n            run('tar -cf $output_path/'+ zipName +'.tar -C '+ path +' . ')\n        elif 'gz' == format:\n            run('tar -czf $output_path/'+ zipName +'.tar.gz -C '+ path +' . ')\n        return\n    print('指定的目录不存在：'+path)\n\n# 检查网络\ndef check_service(host, port):\n    try:\n        socket.create_connection((host, port), timeout=5)\n        return True\n    except socket.error:\n        return False","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 内网穿透\n\n---","metadata":{}},{"cell_type":"code","source":"# ngrok\ndef startNgrok(ngrokToken:str,ngrokLocalPort:int):\n    from pyngrok import conf, ngrok\n    try:\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(ngrokLocalPort)\n            print('ngrok 访问地址：'+ssh_tunnel.public_url)\n        else:\n            print('ngrok 访问地址：'+ssh_tunnels[0].public_url)\n    except:\n        print('启动ngrok出错')\n        \ndef startFrpc(name,configFile):\n    echoToFile(f'''\ncd {install_path}/frpc/\n{install_path}/frpc/frpc {configFile}\n''',f'{install_path}/frpc/start.sh')\n    !bash {install_path}/frpc/start.sh\n        \ndef installProxyExe():\n    if useFrpc:\n        print('安装frpc')\n        run(f'mkdir -p $install_path/frpc')\n        if Path(frpcExePath).exists():\n            run(f'cp -f -n {frpcExePath} $install_path/frpc/frpc')\n        else:\n            run(f'wget \"https://huggingface.co/datasets/ACCA225/Frp/resolve/main/frpc\" -O {install_path}/frpc/frpc')\n        \n        for ssl in frpcSSLFFlies:\n            if Path(ssl).exists():\n                run(f'cp -f -n {ssl}/* {install_path}/frpc/')\n        run(f'chmod +x {install_path}/frpc/frpc')\n        run(f'{install_path}/frpc/frpc -v')\n    if useNgrok and not is_installed('pyngrok'):\n        run('pip install pyngrok')\n\ndef startProxy():\n    if useNgrok:\n        startNgrok(ngrokToken,webuiPort)\n    if useFrpc:\n        startFrpc('frpc_proxy',frpcStartArg)","metadata":{"_kg_hide-input":true,"id":"coqQvTSLLCtE","_kg_hide-output":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## NGINX 反向代理\n\n---","metadata":{}},{"cell_type":"code","source":"\n# nginx 反向代理配置文件\ndef localProxy():\n    conf = '''\nserver\n{\n    listen '''+str(webuiPort)+''';\n    listen [::]:'''+str(webuiPort)+''';\n    server_name 127.0.0.1 localhost 0.0.0.0 \"\";\n    \n    if ($request_method = OPTIONS) {\n        return 200;\n    }\n    fastcgi_send_timeout                 10m;\n    fastcgi_read_timeout                 10m;\n    fastcgi_connect_timeout              10m;\n    location /1/\n    {\n        proxy_pass http://127.0.0.1:'''+str(webuiPort+2)+'''/;\n        # add_header Set-Cookie \"subpath=1; expires=0; Path=/\";\n        # proxy_set_header Set-Cookie \"subpath=1; expires=0; Path=/\";\n        proxy_set_header Host $host;\n        proxy_set_header X-Real-IP $remote_addr;\n        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n        proxy_set_header REMOTE-HOST $remote_addr;\n        proxy_set_header   Upgrade $http_upgrade;\n        proxy_set_header   Connection upgrade;\n        proxy_http_version 1.1;\n        proxy_connect_timeout 10m;\n        proxy_read_timeout 10m;\n    }\n    location /\n    {\n        set $proxy_url http://127.0.0.1:'''+str(webuiPort+1)+''';\n        # if ($cookie_subpath = \"1\") {\n        #    set $proxy_url  http://127.0.0.1:'''+str(webuiPort+2)+''';\n        # }\n        proxy_pass $proxy_url;\n        proxy_set_header Host $host;\n        proxy_set_header X-Real-IP $remote_addr;\n        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n        proxy_set_header REMOTE-HOST $remote_addr;\n        proxy_set_header   Upgrade $http_upgrade;\n        proxy_set_header   Connection upgrade;\n        proxy_http_version 1.1;\n        proxy_connect_timeout 10m;\n        proxy_read_timeout 10m;\n    }\n}\n'''\n    echoToFile(conf,'/etc/nginx/conf.d/proxy_nginx.conf')\n    if not check_service('localhost',webuiPort):\n        !nginx -c /etc/nginx/nginx.conf\n    !nginx -s reload\n    ","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 线程清理工具\n\n---\n\n清理线程名以 solo_ 开头的所有线程","metadata":{}},{"cell_type":"code","source":"import inspect\nimport ctypes\n\ndef _async_raise(tid, exctype):\n    \"\"\"raises the exception, performs cleanup if needed\"\"\"\n    tid = ctypes.c_long(tid)\n    if not inspect.isclass(exctype):\n        exctype = type(exctype)\n    res = ctypes.pythonapi.PyThreadState_SetAsyncExc(tid, ctypes.py_object(exctype))\n    if res == 0:\n        raise ValueError(\"invalid thread id\")\n    elif res != 1:\n        # \"\"\"if it returns a number greater than one, you're in trouble,\n        # and you should call it again with exc=NULL to revert the effect\"\"\"\n        ctypes.pythonapi.PyThreadState_SetAsyncExc(tid, None)\n        raise SystemError(\"PyThreadState_SetAsyncExc failed\")\n\ndef stop_thread(thread):\n    _async_raise(thread.ident, SystemExit)\n\ndef stop_solo_threads():\n    # 获取当前所有活动的线程\n    threads = threading.enumerate()\n    # 关闭之前创建的子线程\n    for thread in threads:\n        if thread.name.startswith('solo_'):\n            print(f'结束线程：{thread.name}')\n            try:\n                stop_thread(thread)\n            except socket.error:\n                print(f'结束线程：{thread.name} 执行失败')","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# webui 安装和配置函数\n---","metadata":{"id":"Ve3p8oOkLCtE"}},{"cell_type":"code","source":"envInstalled=False\nquickStart = True\n#安装webui\ndef install():\n    print('安装webui')\n    %cd $install_path\n    !git lfs install\n    !git config --global credential.helper store\n    for requirement in requirements:\n        run(f'pip install {requirement}')\n    if reLoad:\n        !rm -rf stable-diffusion-webui\n    if Path(\"stable-diffusion-webui\").exists():\n        %cd $install_path/stable-diffusion-webui/\n        !git checkout .\n        !git pull\n    else:\n        !git clone {webui_git_repo} stable-diffusion-webui\n    %cd {install_path}/stable-diffusion-webui\n    print('安装webui 完成')\n\n# 链接输出目录\ndef link_dir():\n    print('链接输出目录')\n    # 链接图片输出目录\n    !mkdir -p $output_path/outputs\n    !rm -rf $install_path/stable-diffusion-webui/outputs\n    !ln -s -r $output_path/outputs $install_path/stable-diffusion-webui/\n     # 输出收藏目录\n    !mkdir -p $output_path/log\n    !rm -rf $install_path/stable-diffusion-webui/log\n    !ln -s -r $output_path/log $install_path/stable-diffusion-webui/\n    # 链接训练输出目录 文件夹链接会导致功能不能用\n    !rm -rf $install_path/stable-diffusion-webui/textual_inversion\n    !mkdir -p $output_path/textual_inversion/\n    !ln -s -r $output_path/textual_inversion $install_path/stable-diffusion-webui/\n    print('链接输出目录 完成') \n\ndef install_optimizing():\n    run('sudo apt install nginx -y')\n    run('env TF_CPP_MIN_LOG_LEVEL=1')\n    run('apt -y update -qq')\n    run('wget http://launchpadlibrarian.net/367274644/libgoogle-perftools-dev_2.5-2.2ubuntu3_amd64.deb')\n    run('wget https://launchpad.net/ubuntu/+source/google-perftools/2.5-2.2ubuntu3/+build/14795286/+files/google-perftools_2.5-2.2ubuntu3_all.deb')\n    run('wget https://launchpad.net/ubuntu/+source/google-perftools/2.5-2.2ubuntu3/+build/14795286/+files/libtcmalloc-minimal4_2.5-2.2ubuntu3_amd64.deb')\n    run('wget https://launchpad.net/ubuntu/+source/google-perftools/2.5-2.2ubuntu3/+build/14795286/+files/libgoogle-perftools4_2.5-2.2ubuntu3_amd64.deb')\n    run('apt -y install -qq libunwind8-dev')\n    run('dpkg -i *.deb')\n    run('env LD_PRELOAD=libtcmalloc.so')\n    run('rm *.deb')\n    \n#安装依赖\ndef install_dependencies():\n    print('安装webui需要的python环境')\n    global envInstalled\n    global venvPath\n    !rm -rf {install_path}/stable-diffusion-webui/venv\n    !mkdir -p {install_path}/stable-diffusion-webui/venv\n    if str(sys.version).startswith('3.8') or str(sys.version).startswith('3.9') or str(sys.version).startswith('3.10'):\n        run('python3 -m venv venv' ,cwd=f'{install_path}/stable-diffusion-webui')\n    else:\n        run('add-apt-repository ppa:deadsnakes/ppa -y')\n        run('apt update')\n        run('apt install python3.10 -y')\n        run('python3.10 -m venv venv',cwd=f'{install_path}/stable-diffusion-webui')\n        \n    if quickStart:\n        if not Path(venvPath).exists():\n            !mkdir -p {install_path}/venv_cache\n            if not Path(f'{install_path}/venv_cache/venv.tar.bak').exists():\n                download_file('https://huggingface.co/viyi/sdwui/resolve/main/venv.zip','venv.zip',f'{install_path}/venv_cache')\n            !unzip {install_path}/venv_cache/venv.zip -d {install_path}/venv_cache\n            venvPath = f'{install_path}/venv_cache/venv.tar.bak'\n            !rm -rf {install_path}/venv_cache/venv.zip\n        elif venvPath.endswith('.zip'):\n            !mkdir -p {install_path}/venv_cache\n            !unzip {venvPath} -d {install_path}/venv_cache\n            venvPath = f'{install_path}/venv_cache/venv.tar.bak'\n        print('解压环境')\n        run(f'tar -xf {venvPath} -C ./venv')\n    if not Path(f'{install_path}/stable-diffusion-webui/venv/bin/pip').exists():\n        run('curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py')\n        run(f'{install_path}/stable-diffusion-webui/venv/bin/python3 get-pip.py')\n\n    !{install_path}/stable-diffusion-webui/venv/bin/python3 -V\n    !{install_path}/stable-diffusion-webui/venv/bin/python3 -m pip -V\n\n    if not Path(venvPath).exists():\n        run(f'{install_path}/stable-diffusion-webui/venv/bin/python3 -m pip install -U torch==2.0.0+cu117 torchvision==0.15.1+cu117 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cu117')\n        run(f'{install_path}/stable-diffusion-webui/venv/bin/python3 -m pip install -U open-clip-torch xformers==0.0.19')\n\n    envInstalled = True\n    print('安装webui需要的python环境 完成')\n      \n# 个性化配置 \ndef use_config():\n    print('使用自定义配置 包括tag翻译 \\n')\n    !mkdir -p {install_path}/temp\n    run(f'git clone {webui_config_git_repu} sd-configs',cwd=f'{install_path}/temp')\n    run(f'cp -r -f -n {install_path}/temp/sd-configs/dist/* {install_path}/stable-diffusion-webui')\n    if not Path(ui_config_file).exists(): # ui配置文件\n        !mkdir -p {ui_config_file[:ui_config_file.rfind('/')]}\n        run(f'cp -f -n {install_path}/stable-diffusion-webui/ui-config.json {ui_config_file}')\n    if not Path(setting_file).exists(): # 设置配置文件\n        !mkdir -p {setting_file[:setting_file.rfind('/')]}\n        run(f'cp -f -n {install_path}/stable-diffusion-webui/config.json {setting_file}')\n\ndef copy_last_log_to_images():\n    print('复制编号最大的一张收藏图到输出目录，用于保持编号，否则会出现收藏的图片被覆盖的情况')\n    img_list = os.listdir(f'{install_path}/stable-diffusion-webui/log/images')\n    last_img_path = ''\n    last_img_num = 0\n    for img in img_list:\n        if re.findall(r'^\\d+-',str(img)):\n            num = int(re.findall(r'^\\d+-',str(img))[0][:-1])\n            if num > last_img_num:\n                last_img_path = img\n                last_img_num = num\n    print(f'{install_path}/stable-diffusion-webui/log/images/{last_img_path} {install_path}/stable-diffusion-webui/outputs/txt2img-images')\n    !mkdir -p {install_path}/stable-diffusion-webui/outputs/txt2img-images\n    !cp -f {install_path}/stable-diffusion-webui/log/images/{last_img_path} {install_path}/stable-diffusion-webui/outputs/txt2img-images/\n    \n    print(f'{install_path}/stable-diffusion-webui/log/images/{last_img_path} {install_path}/stable-diffusion-webui/outputs/img2img-images')\n    !mkdir -p {install_path}/stable-diffusion-webui/outputs/img2img-images\n    !cp -f {install_path}/stable-diffusion-webui/log/images/{last_img_path} {install_path}/stable-diffusion-webui/outputs/img2img-images/\n            \n    \ndef start_webui(i):\n    # 只要不爆内存，其他方式关闭后会再次重启 访问地址会发生变化\n    print(i,'--port',str(webuiPort+1+i))\n    if i>0:\n        print(f'使用第{i+1}张显卡启动第{i+1}个webui，通过frpc或nrgok地址后加/{i}/进行访问（不能使用同一个浏览器）')\n    if useFrpc:\n        while True:\n            !venv/bin/python3 launch.py --device-id={i} --port {str(webuiPort+1+i)} {'' if i ==0 else '--nowebui'} # {'' if i == 0 else '--subpath=/'+str(i)}\n            print('5秒后重启webui')\n            time.sleep(5)\n    else:\n        !venv/bin/python3 launch.py --device-id={i} --port {str(webuiPort+1+i)} {'' if i ==0 else '--nowebui'} # {'' if i == 0 else '--subpath=/'+str(i)}\n    \n# 启动\ndef start():\n    print('启动webui')\n    %cd $install_path/stable-diffusion-webui\n    args = ''\n    if ui_config_file is not None and ui_config_file != '' and Path(ui_config_file).exists(): # ui配置文件\n        args += ' --ui-config-file=' + ui_config_file\n    if setting_file is not None and setting_file != '' and Path(setting_file).exists(): # 设置配置文件\n        args += ' --ui-settings-file=' + setting_file\n    args += ' ' + otherArgs\n    os.environ['COMMANDLINE_ARGS']=args\n    !echo COMMANDLINE_ARGS=$COMMANDLINE_ARGS\n    %env REQS_FILE=requirements.txt\n    \n    with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:\n        for i in range(torch.cuda.device_count()):\n            executor.submit(start_webui,i)\n            while thread.is_alive() and not check_service('localhost',str(webuiPort+1+i)): # 当当前服务启动完成才允许退出此次循环\n                time.sleep(5)\n            time.sleep(10)","metadata":{"_kg_hide-input":true,"id":"GTjyBJihLCtE","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 入口函数\n---","metadata":{"id":"qLvsk8ByLCtF"}},{"cell_type":"code","source":"\n# 启动非webui相关的的内容，加快启动速度\ndef main():\n    global envInstalled\n    global huggingface_is_init\n    startTicks = time.time()\n    stop_solo_threads()\n    isInstall = True if os.getenv('IsInstall','False') == 'True' else False\n    if isInstall is False or reLoad: \n        print('启动 安装webui和运行环境')\n        install()\n        link_dir()\n        init_huggingface()\n        threading.Thread(target = install_dependencies,daemon=True,name='solo_install_dependencies').start()\n        threading.Thread(target = install_optimizing,daemon=True,name='solo_install_optimizing').start()\n        threading.Thread(target = installProxyExe,daemon=True).start()\n        link_or_download_flie(replace_path(普通文件列表), link_instead_of_copy=link_instead_of_copy,\n                          base_path=f'{install_path}/stable-diffusion-webui')\n        if huggingface_is_init:\n            threading.Thread(target = download_huggingface_repo,daemon=True,\n                                 args=([huggingface_repo]),\n                                 kwargs={\"callback\":copy_last_log_to_images},\n                                 name='solo_download_huggingface_repo').start()\n        \n        link_or_download_flie(replace_path(重要文件列表), link_instead_of_copy=link_instead_of_copy,\n                          base_path=f'{install_path}/stable-diffusion-webui',is_await=True)\n        t = 0\n        while not envInstalled:\n            if t%10==0:\n                print('等待python环境安装...')\n            t = t+1\n            time.sleep(1)\n        use_config()\n        localProxy()\n        os.environ['IsInstall'] = 'True'\n    else:\n        envInstalled = True\n    link_or_download_flie(replace_path(按顺序加载的重要文件列表), link_instead_of_copy=link_instead_of_copy,\n                          base_path=f'{install_path}/stable-diffusion-webui',sync=True)\n    threading.Thread(target = startProxy, daemon=True, name='solo_startProxy').start()\n    if init_huggingface():\n        start_sync_log_to_huggingface(huggingface_repo)\n    ticks = time.time()\n    print(\"加载耗时:\",(ticks - startTicks),\"秒\")\n    start()\n","metadata":{"_kg_hide-input":true,"id":"IOKjaMlcLCtF","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 执行区域\n---","metadata":{"id":"0oaCRs2gLCtF"}},{"cell_type":"code","source":"print(update_desc)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# 启动\n# reLoad = True\n# hidden_console_info = False\n# run_by_none_device = True\nshow_shell_info = not hidden_console_info\ntry:\n    check_gpu()\n    main()\nexcept KeyboardInterrupt:\n    stop_solo_threads()","metadata":{"_kg_hide-output":true,"id":"O3DR0DWHLCtF","scrolled":true,"trusted":true},"execution_count":null,"outputs":[]}]}