{"id":32496,"date":"2025-04-06T16:05:33","date_gmt":"2025-04-06T08:05:33","guid":{"rendered":"https:\/\/www.1ai.net\/?p=32496"},"modified":"2025-04-06T16:10:06","modified_gmt":"2025-04-06T08:10:06","slug":"comfyui%e9%83%a8%e7%bd%b2%e6%95%99%e7%a8%8b%ef%bc%8ccomfyui%e5%ae%89%e8%a3%85%e4%bf%9d%e5%a7%86%e7%ba%a7%e6%8c%87%e5%8d%97","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/32496.html","title":{"rendered":"ComfyUI Deployment Tutorial, ComfyUI Installation Nanny Guide"},"content":{"rendered":"

\u5982\u679c\u4f60\u8fd8\u5728\u7528\u4f20\u7edf\u7684Stable Diffusion WebUI\u753b\u56fe\uff0c\u90a3\u4e48\u4f60\u771f\u7684OUT\u4e86\uff01\u5982\u4ecaAI\u7ed8\u56fe\u5708\u6700\u7099\u624b\u53ef\u70ed\u7684\u795e\u5668\u2014\u2014ComfyUI<\/a><\/strong>\uff0c\u5df2\u7ecf\u6084\u6084\u4ece\u6280\u672f\u5b85\u624b\u4e2d\u201c\u51fa\u5708\u201d\uff0c\u6210\u4e3a\u8fdb\u9636\u73a9\u5bb6\u7684\u68a6\u4e2d\u60c5\u5305\u3002\u8fd9\u7bc7\u6587\u7ae0\u5c31\u662f\u4e3a\u4f60\u91cf\u8eab\u6253\u9020\u7684ComfyUI\u5b89\u88c5\u4fdd\u59c6\u7ea7\u6559\u7a0b<\/strong>\uff0c\u4ece\u5c0f\u767d\u5230\u8001\u53f8\u673a\uff0c\u901a\u901a\u62ff\u4e0b\uff01<\/p>\n

\u4e00\u3001ComfyUI \u662f\u4ec0\u4e48\uff1f<\/h2>\n

ComfyUI\uff0c\u5168\u540d\u5c31\u53eb\u8fd9\u4e2a\uff0c\u5b83\u7684GitHub\u5730\u5740\u662f\uff1ahttps:\/\/github.com\/comfyanonymous\/ComfyUI\u3002<\/p>\n

\"ad888a78j00suaeaf004td000u000d5m\"<\/section>\n

\u8bf4\u767d\u4e86\uff0c\u5b83\u662f\u4e00\u6b3e\u57fa\u4e8e\u8282\u70b9\u5f0f\u5de5\u4f5c\u6d41\u7684AI\u56fe\u50cf\u751f\u6210\u5de5\u5177\uff0c\u4e13\u95e8\u4e3aStable Diffusion\u8fd9\u6837\u7684\u6269\u6563\u6a21\u578b\u91cf\u8eab\u5b9a\u5236\u3002\u4f60\u53ef\u4ee5\u50cf\u62fc\u4e50\u9ad8\u4e00\u6837\u62d6\u62fd\u3001\u8fde\u63a5\u4e0d\u540c\u8282\u70b9\uff0c\u50cf\u6a21\u578b\u52a0\u8f7d\u3001\u63d0\u793a\u8bcd\u8f93\u5165\u3001\u91c7\u6837\u5668\u7b49\u7b49\uff0c\u642d\u5efa\u4e00\u4e2a\u5c5e\u4e8e\u81ea\u5df1\u7684\u201c\u56fe\u50cf\u5de5\u5382\u201d\u3002<\/p>\n

\"4821b639j00suaeaf0023d000n700f5m\"<\/section>\n

\u76f8\u8f83\u4e8e\u4f20\u7edf\u7684\u64cd\u4f5c\u65b9\u5f0f\uff0cComfyUI\u6700\u5927\u7279\u70b9\u5c31\u662f\u2014\u2014\u7075\u6d3b\u53c8\u53ef\u63a7<\/strong>\u3002\u4f60\u53ef\u4ee5\u7cbe\u51c6\u638c\u63a7\u6bcf\u4e2a\u7ec6\u8282\u53c2\u6570\uff0c\u5b8c\u5168\u81ea\u4e3b\u6784\u5efa\u5de5\u4f5c\u6d41\uff0c\u8fd9\u624d\u662f\u9ad8\u624b\u8be5\u6709\u7684\u59ff\u6001\uff01<\/strong><\/p>\n

\u6838\u5fc3\u4eae\u70b9\u4e00\u89c8\uff1a<\/h3>\n
    \n
  • \n

    \u8282\u70b9\u5f0f\u64cd\u4f5c<\/strong>\uff1a\u50cf\u505a\u7f16\u7a0b\u4e00\u6837\u642d\u79ef\u6728\uff0c\u6a21\u5757\u5316\u63a7\u5236\u6bcf\u4e00\u6b65\uff1b<\/p>\n<\/li>\n

  • \n

    \u4f4e\u663e\u5b58\u95e8\u69db<\/strong>\uff1a\u663e\u53618GB\u4e5f\u80fd\u5e26\u98de\uff0c\u8c01\u8bf4AI\u7ed8\u56fe\u53ea\u80fd\u9760\u201c\u5bb6\u91cc\u6709\u77ff\u201d\uff1b<\/p>\n<\/li>\n

  • \n

    \u6279\u91cf\u5904\u7406\u80fd\u529b<\/strong>\uff1a\u6d41\u7a0b\u81ea\u52a8\u5316\uff0c\u6279\u91cf\u751f\u6210\u56fe\u50cf\/\u89c6\u9891\u8f7b\u677e\u641e\u5b9a\uff1b<\/p>\n<\/li>\n

  • \n

    \u5f3a\u6269\u5c55\u6027<\/strong>\uff1a\u63d2\u4ef6\u751f\u6001\u5feb\u901f\u589e\u957f\uff0c\u5982ControlNet<\/span>\u3001AnimateDiff\u7b49\u4e00\u5e94\u4ff1\u5168\u3002<\/p>\n<\/li>\n<\/ul>\n

    \u4e8c\u3001ComfyUI VS Stable Diffusion WebUI<\/h2>\n

    \u5f88\u591a\u670b\u53cb\u4f1a\u95ee\uff0c\u90a3\u6211\u5df2\u7ecf\u5728\u7528Stable Diffusion WebUI\u4e86\uff0c\u8fd8\u7528\u5f97\u7740ComfyUI\u5417\uff1f<\/p>\n

    \u522b\u6025\uff0c\u770b\u5b8c\u8fd9\u5f20\u5bf9\u6bd4\u8868\u4f60\u5c31\u77e5\u9053\u7b54\u6848\u4e86\uff1a<\/p>\n\n\n\n\n\n\n\n\n\n\n
    \n
    \u5bf9\u6bd4\u7ef4\u5ea6<\/section>\n<\/th>\n
    		\n
    ComfyUI<\/section>\n<\/th>\n
    		\n
    Stable Diffusion WebUI<\/section>\n<\/th>\n<\/tr>\n<\/thead>\n
    \u754c\u9762\u98ce\u683c<\/strong><\/td>\n\n
    \u8282\u70b9\u5f0f\u53ef\u89c6\u5316\u5de5\u4f5c\u6d41<\/section>\n<\/td>\n
    		\n
    \u4f20\u7edf\u7f51\u9875\u8868\u5355\u6309\u94ae<\/section>\n<\/td>\n<\/tr>\n
    \u5b66\u4e60\u95e8\u69db<\/strong><\/td>\n\n
    \u7a0d\u9ad8\uff0c\u9700\u7406\u89e3\u8282\u70b9\u903b\u8f91<\/section>\n<\/td>\n
    		\n
    \u4f4e\uff0c\u65b0\u624b\u53cb\u597d<\/section>\n<\/td>\n<\/tr>\n
    \u786c\u4ef6\u8981\u6c42<\/strong><\/td>\n\n
    \u663e\u5b58\u8981\u6c42\u8f83\u4f4e\uff08\u22658GB\uff09<\/section>\n<\/td>\n
    		\n
    \u63a8\u835012GB+\u663e\u5b58<\/section>\n<\/td>\n<\/tr>\n
    \u529f\u80fd\u81ea\u7531\u5ea6<\/strong><\/td>\n\n
    \u9ad8\u5ea6\u81ea\u5b9a\u4e49\u3001\u65e0\u9650\u7ec4\u5408<\/section>\n<\/td>\n
    		\n
    \u529f\u80fd\u56fa\u5b9a\u3001\u7565\u6b7b\u677f<\/section>\n<\/td>\n<\/tr>\n
    \u63d2\u4ef6\u751f\u6001<\/strong><\/td>\n\n
    \u53d1\u5c55\u4e2d\uff0c\u6f5c\u529b\u5927<\/section>\n<\/td>\n
    		\n
    \u6210\u719f\uff0c\u4f46\u521b\u65b0\u7f13\u6162<\/section>\n<\/td>\n<\/tr>\n
    \u9002\u5408\u573a\u666f<\/strong><\/td>\n\n
    \u6279\u91cf\u5904\u7406\u3001\u6d41\u7a0b\u7814\u7a76<\/section>\n<\/td>\n
    		\n
    \u5feb\u901f\u5355\u56fe\u521b\u4f5c<\/section>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u4e00\u53e5\u8bdd\u603b\u7ed3\uff1a\u65b0\u624b\u56fe\u4e00\u4e50\uff0c\u8fdb\u9636\u56feComfyUI<\/strong>\u3002<\/p>\n

    \u4e09\u3001\u5b89\u88c5\u524d\u51c6\u5907\uff1a\u786c\u4ef6 + \u7cfb\u7edf + \u9a71\u52a8<\/h2>\n

    \u60f3\u73a9\u5f97\u8f6cComfyUI\uff0c\u786c\u4ef6\u8981\u6c42\u5176\u5b9e\u5e76\u4e0d\u9ad8\uff1a<\/p>\n

    \u2705 \u672c\u5730\u90e8\u7f72\u5efa\u8bae\u914d\u7f6e\uff1a<\/h3>\n
      \n
    • \n

      \u663e\u5361\uff1aNVIDIA \u22651080ti\uff08\u22658GB\u663e\u5b58\uff09\uff1bAMD\u7528\u6237\u9700\u8d70ROCm<\/span>\u65b9\u6848\uff1b<\/p>\n<\/li>\n

    • \n

      \u5b58\u50a8\uff1a\u6700\u4f4e40GB\uff0c\u63a8\u8350100GB\u4ee5\u4e0a\uff08SSD\u52a0\u901f\u4f53\u9a8c\u66f4\u4f73\uff09\uff1b<\/p>\n<\/li>\n

    • \n

      \u7cfb\u7edf\uff1aWindows 10<\/span>\/11\uff0c\u517c\u5bb9\u7a33\u5b9a\u65e0\u5751\u3002<\/p>\n<\/li>\n<\/ul>\n

      \u2705 \u8f6f\u4ef6\u4f9d\u8d56\uff1a<\/h3>\n
        \n
      • \n

        \u663e\u5361\u9a71\u52a8<\/strong>\uff1aNVIDIA\u9700\u652f\u6301CUDA 11.8+\uff0c\u65e0\u9700\u5355\u88c5CUDA Toolkit\uff1b<\/p>\n<\/li>\n

      • \n

        VS Build Tools<\/strong>\uff1aWindows\u5e73\u53f0\u5b89\u88c5\u5fc5\u5907\uff1b<\/p>\n<\/li>\n

      • \n

        AMD\u7528\u6237<\/strong>\uff1a\u9700\u914d\u7f6eWSL 2 + ROCm\u3002<\/p>\n<\/li>\n<\/ul>\n

        \u56db\u3001ComfyUI\u4e3b\u6d41\u5b89\u88c5\u65b9\u5f0f\u5168\u89e3\u6790<\/h2>\n

        \ud83d\udfe2 \u65b9\u5f0f\u4e00\uff1a\u684c\u9762\u7248 ComfyUI \u58f3\uff08\u65b0\u624b\u63a8\u8350\uff0c\u672a\u6765\u8d8b\u52bf\uff09<\/h3>\n
        \n

        \u5f53\u524d\u7248\u672c\uff1aComfyUI Setup 0.4.32
        \u4e0b\u8f7d\u5730\u5740\uff1ahttps:\/\/www.comfy.org\/download<\/p>\n<\/blockquote>\n

        \u6b65\u9aa4\u5982\u4e0b\uff1a<\/h4>\n
          \n
        1. \n

          \uff08\u53ef\u9009\uff09DNS\u52a0\u901f<\/strong>\u4fee\u6539\u00a0C:\\Windows\\System32\\drivers\\etc\\hosts<\/code>\uff0c\u6dfb\u52a0\uff1a<\/p>\n

          \u590d\u5236\u7f16\u8f91185.199.110.133 raw.githubusercontent.com<\/pre>\n<\/li>\n
        2. \n
          \u4e0b\u8f7d\u5b89\u88c5\u5305<\/strong>\u53cc\u51fb\u5b89\u88c5\u00a0ComfyUI Setup 0.4.32 - x64.exe<\/code>\uff0c\u8fdb\u5165\u56fe\u5f62\u754c\u9762\uff0c\u5f00\u59cb\u81ea\u52a8\u5b89\u88c5\u3002<\/p>\n<\/li>\n
        3. \n
          \u4e00\u8def\u9ed8\u8ba4\u5373\u53ef<\/strong><\/p>\n
            \n
          • \n
            GPU\u9009\u62e9\uff1a\u4e0d\u8981\u52fe\u9009CPU\uff1b<\/p>\n<\/li>\n
          • \n
            \u5b89\u88c5\u8def\u5f84\uff1a\u9ed8\u8ba4\u5373\u53ef\uff1b<\/p>\n<\/li>\n
          • \n
            \u955c\u50cf\u8bbe\u7f6e\uff1a\u66ff\u6362\u4e3a\u56fd\u5185\u6e90\uff0c\u52a0\u5feb\u4e0b\u8f7d\u901f\u5ea6\u3002<\/p>\n
            arduino\u590d\u5236\u7f16\u8f91Python\u955c\u50cf\uff1ahttps:\/\/gitcode.com\/gh_mirrors\/py\/python-build-standalone\/releases\/PyTorch\u955c\u50cf\uff1ahttps:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud\/pytorch\/<\/pre>\n<\/li>\n<\/ul>\n<\/li>\n
          • \n
            \u70b9\u51fb\u5b89\u88c5\uff0c\u7b49\u5f85\u81ea\u52a8\u5b8c\u6210<\/strong><\/p>\n
            \"e10e4579j00suaeae000sd000cv004km\"<\/section>\n<\/li>\n
          • \n
            \u914d\u7f6e\u6a21\u578b<\/strong>\u9ed8\u8ba4\u5de5\u4f5c\u6d41\u8fd0\u884c\u540e\uff0c\u4f1a\u63d0\u793a\u7f3a\u5c11\u6a21\u578b\uff0c\u6bd4\u5982v1-5-pruned-emaonly.ckpt<\/code>\uff08SD1.5\u5927\u6a21\u578b\uff09\u3002<\/p>\n
            \u4e0b\u8f7d\u6a21\u578b\u540e\u653e\u5165\uff1a<\/p>\n
            makefile\u590d\u5236\u7f16\u8f91D:\\AI Files\\ComfyUI\\models\\checkpoints\\<\/pre>\n
            \u7136\u540e\u91cd\u542fComfyUI\uff0c\u91cd\u65b0\u8fd0\u884c\u5de5\u4f5c\u6d41\uff0c\u770b\u5230\u56fe\u50cf\u751f\u6210\u9875\u9762\u5c31\u6210\u529f\u5566\uff01<\/strong><\/p>\n<\/li>\n<\/ol>\n
            \"f9e2dc60j00suaeaf002md000o800gmm\"<\/section>\n
            \"050f5080j00suaeaf004bd000o300gom\"<\/section>\n
            \ud83d\udfe1 \u65b9\u5f0f\u4e8c\uff1aWindows \u4fbf\u643a\u72ec\u7acb\u6574\u5408\u5305\uff08\u76ee\u524d\u4e3b\u6d41\u73a9\u6cd5\uff09<\/h3>\n
            \n
            \u4e0b\u8f7d\u5730\u5740\uff1ahttps:\/\/github.com\/comfyanonymous\/ComfyUI\/releases\/latest\/download\/ComfyUI_windows_portable_nvidia.7z<\/p>\n<\/blockquote>\n
            \u6b65\u9aa4\u5982\u4e0b\uff1a<\/h4>\n
              \n
            1. \n
              \u89e3\u538b\u6587\u4ef6\uff0c\u6ce8\u610f\u8def\u5f84\u4e0d\u80fd\u542b\u6709\u4e2d\u6587<\/strong>\u3002<\/p>\n<\/li>\n
            2. \n
              \u5df2\u6709 WebUI \u6a21\u578b\u5e93\u7684\u7528\u6237\uff0c\u53ef\u76f4\u63a5\u590d\u7528<\/strong>\uff0c\u65e0\u9700\u91cd\u590d\u4e0b\u8f7d\uff1a<\/p>\n
                \n
              • \n
                \u4fee\u6539\u914d\u7f6e\uff1a<\/p>\n
                yaml\u590d\u5236\u7f16\u8f91\u5c06 extra_model_paths.yaml.example \u91cd\u547d\u540d\u4e3a extra_model_paths.yaml\u7f16\u8f91\u5982\u4e0b\uff08\u8def\u5f84\u66ff\u6362\u4e3a\u4f60\u672c\u5730\u5b9e\u9645\u8def\u5f84\uff09\uff1aa111: \u00a0 base_path: D:\\AI Files\\sd-webui-aki-v4.10\\ \u00a0 controlnet: D:\\AI Files\\sd-webui-aki-v4.10\\extensions\\sd-webui-controlnet\\models<\/pre>\n
                \"174314adj00suaeaf003qd000o500btm\"<\/section>\n
                <\/pre>\n<\/li>\n<\/ul>\n<\/li>\n
              • \n
                \u53cc\u51fb\u00a0run_nvidia_gpu.bat<\/code>\u00a0\u542f\u52a8 ComfyUI\u3002<\/p>\n<\/li>\n
              • \n
                \u5b89\u88c5\u7ba1\u7406\u63d2\u4ef6\u795e\u5668\u3010ComfyUI-Manager\u3011\uff1a<\/p>\n
                bash\u590d\u5236\u7f16\u8f91\u8fdb\u5165 custom_nodes \u6587\u4ef6\u5939 \u2192 Shift + \u53f3\u952e \u2192 \u6253\u5f00 PowerShell \u6267\u884c\u547d\u4ee4\uff1a git clone https:\/\/github.com\/ltdrdata\/ComfyUI-Manager.git<\/pre>\n<\/li>\n
              • \n
                \u91cd\u542f ComfyUI\uff0c\u641e\u5b9a\uff01<\/p>\n<\/li>\n<\/ol>\n
                \"09d4eb09j00suaeaf003od000oe00f2m\"<\/section>\n
                \ud83d\udd35 \u65b9\u5f0f\u4e09\uff1a\u7ed8\u4e16\u6574\u5408\u5305\uff08\u6700\u9002\u5408\u6015\u9ebb\u70e6\u515a\uff09<\/h3>\n
                \n
                \u6574\u5408\u5305\u53d1\u5e03\u9875\uff1ahttps:\/\/www.bilibili.com\/video\/BV1Ew411776J\/
                \u5f53\u524d\u7248\u672c\uff1aComfyUI-aki-v1.6.7z\uff08\u6709\u89e3\u538b\u5bc6\u7801\uff09<\/p>\n<\/blockquote>\n
                \"cb8021f1j00suaeaf00ald000og00enm\"<\/section>\n
                \u5b89\u88c5\u6b65\u9aa4\uff1a<\/h4>\n
                  \n
                1. \n
                  \u89e3\u538b\u5230\u65e0\u4e2d\u6587\u8def\u5f84\u3002<\/p>\n<\/li>\n
                2. \n
                  \u62f7\u8d1d\uff1a<\/p>\n
                    \n
                  • \n
                    \u6a21\u578b\u6587\u4ef6\u5230\u00a0ComfyUI\\models\\checkpoints\\<\/code><\/p>\n<\/li>\n
                  • \n
                    ControlNet\u6a21\u578b\u5230\u00a0ComfyUI\\models\\controlnet\\<\/code><\/p>\n<\/li>\n<\/ul>\n<\/li>\n
                  • \n
                    \u53cc\u51fb\u00a0\u7ed8\u4e16\u542f\u52a8\u5668.exe<\/code>\u00a0\u2192 \u70b9\u51fb\u3010\u4e00\u952e\u542f\u52a8\u3011<\/p>\n<\/li>\n
                  • \n
                    \u81ea\u52a8\u6253\u5f00\u6d4f\u89c8\u5668\u754c\u9762\uff0c\u76f4\u63a5\u5f00\u59cb\u521b\u4f5c<\/strong>\uff01<\/p>\n<\/li>\n<\/ol>\n
                    \u4e94\u3001\u5e38\u7528\u76ee\u5f55\u8bf4\u660e\uff08\u5efa\u8bae\u6536\u85cf\uff09<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n
                    \n
                    \u76ee\u5f55<\/section>\n<\/th>\n
                    		\n
                    \u4f5c\u7528<\/section>\n<\/th>\n<\/tr>\n<\/thead>\n
                    models\/checkpoints\/<\/code><\/td>\n\n
                    \u4e3b\u6a21\u578b\u653e\u8fd9\u91cc\uff0c\u6bd4\u5982SD1.5\u3001SDXL<\/section>\n<\/td>\n<\/tr>\n
                    models\/loras\/<\/code><\/td>\n\n
                    LoRA\u5fae\u8c03\u6a21\u578b<\/section>\n<\/td>\n<\/tr>\n
                    models\/controlnet\/<\/code><\/td>\n\n
                    ControlNet\u76f8\u5173\u6a21\u578b<\/section>\n<\/td>\n<\/tr>\n
                    models\/vae\/<\/code><\/td>\n\n
                    \u8272\u5f69\u3001\u7ec6\u8282\u63a7\u5236\u7684VAE\u6a21\u578b<\/section>\n<\/td>\n<\/tr>\n
                    embeddings\/<\/code><\/td>\n\n
                    \u6587\u672c\u5d4c\u5165\u6a21\u578b<\/section>\n<\/td>\n<\/tr>\n
                    custom_nodes\/<\/code><\/td>\n\n
                    \u63d2\u4ef6\u653e\u8fd9\u91cc\uff08\u5982AnimateDiff\u7b49\uff09<\/section>\n<\/td>\n<\/tr>\n
                    output\/<\/code><\/td>\n\n
                    \u751f\u6210\u7684\u56fe\u7247\/\u89c6\u9891\u4f1a\u81ea\u52a8\u4fdd\u5b58\u5728\u6b64<\/section>\n<\/td>\n<\/tr>\n
                    input\/<\/code><\/td>\n\n
                    \u8f93\u5165\u53c2\u8003\u56fe\u6216\u63d0\u793a\u8bcd\u7d20\u6750<\/section>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
                    ComfyUI \u662f\u672a\u6765\u7684\u4e3b\u6d41\uff0c\u4e0d\u5bb9\u9519\u8fc7\uff01<\/h2>\n
                    ComfyUI\u5e76\u4e0d\u53ea\u662f\u4e00\u4e2a\u5de5\u5177\uff0c\u66f4\u662f\u4e00\u5957\u5b8c\u6574\u7684AI\u56fe\u50cf\u5de5\u4f5c\u6d41\u6846\u67b6\u3002\u5b83\u4e0d\u4ec5\u9002\u5408\u60f3\u6df1\u5ea6\u5b9a\u5236\u751f\u6210\u6d41\u7a0b\u7684\u73a9\u5bb6\uff0c\u4e5f\u6b63\u5728\u53d8\u5f97\u8d8a\u6765\u8d8a\u201c\u5e73\u6613\u8fd1\u4eba\u201d\u3002\u968f\u7740\u63d2\u4ef6\u751f\u6001\u4e0d\u65ad\u58ee\u5927\u3001\u684c\u9762\u58f3\u65e5\u76ca\u5b8c\u5584\uff0cComfyUI\u6b63\u5728\u4e00\u6b65\u6b65\u8d70\u5411\u4e3b\u6d41\u5316\u3002<\/strong><\/p>\n
                    \u60f3\u8981\u5728AI\u7ed8\u56fe\u7684\u8d5b\u9053\u4e0a\u8dd1\u5f97\u66f4\u8fdc\uff0c\u73b0\u5728\u5c31\u662f\u6700\u597d\u7684\u4e0a\u8f66\u65f6\u673a\uff01<\/p>\n
                    \u5feb\u53bb\u8bd5\u8bd5\u5427\uff0c\u4e00\u65e6\u4e0a\u624b\uff0c\u6839\u672c\u505c\u4e0d\u4e0b\u6765\uff01<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"
                    If you are still using the traditional Stable Diffusion WebUI drawing, then you are really OUT! Now the hottest tool in the AI drawing circle - ComfyUI, has quietly from the hands of technical geeks \"out of the circle\", and become the dream of advanced players in the love package. This article is tailored for you to install ComfyUI nanny-level tutorials, from small white to old drivers, through to take! First, what is ComfyUI? ComfyUI, the full name is called this, its GitHub address is: https:\/\/github.com\/comfyanonymous\/ComfyUI. To put it bluntly, it is a node-based workflow AI image generation tool, specialized for Stable D<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[149,144],"tags":[1989,4749,2894,2658],"collection":[],"class_list":["post-32496","post","type-post","status-publish","format-standard","hentry","category-jiaocheng","category-baike","tag-comfyui","tag-2894","tag-2658"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/32496","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=32496"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/32496\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=32496"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=32496"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=32496"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=32496"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}