{"id":928,"date":"2026-10-06T22:06:07","date_gmt":"2026-10-06T14:06:07","guid":{"rendered":"https:\/\/cqiot.cc\/?p=928"},"modified":"2026-10-06T22:06:26","modified_gmt":"2026-10-06T14:06:26","slug":"comfyui-local-deploy-sdxl-vram-guide","status":"publish","type":"post","link":"https:\/\/cqiot.cc\/index.php\/2026\/10\/06\/comfyui-local-deploy-sdxl-vram-guide\/","title":{"rendered":"ComfyUI \u672c\u5730\u90e8\u7f72\u5b8c\u5168\u6307\u5357\uff1aSDXL \u51fa\u56fe\u73af\u5883\u4e0e\u663e\u5b58\u5360\u7528\u5b9e\u6d4b"},"content":{"rendered":"

<\/p>\n

\n

\u5185\u5bb9\u6807\u8bc6\uff1a<\/strong>\u672c\u6587\u4e3a AI \u8f85\u52a9\u751f\u6210\u5185\u5bb9\u3002\u4f9d\u636e \u300a\u4eba\u5de5\u667a\u80fd\u751f\u6210\u5408\u6210\u5185\u5bb9\u6807\u8bc6\u529e\u6cd5\u300b2025-09-01\uff0c\u5df2\u6dfb\u52a0\u663e\u5f0f\u6807\u8bc6\uff08\u672c\u58f0\u660e\uff09\u4e0e\u9690\u5f0f\u6807\u8bc6\uff08\u6587\u4ef6\u5143\u6570\u636e \/ \u56fe\u7247 ComfyUI \u5143\u4fe1\u606f\uff09\u3002\u6587\u4e2d\u6280\u672f\u7ec6\u8282\u4e0e\u7ed3\u8bba\u5747\u7531\u4f5c\u8005\u590d\u6838\u786e\u8ba4\u3002<\/p>\n<\/div>\n

\u4e0a\u4e00\u7bc7\u6211\u4eec\u804a\u8fc7\u5728 PVE \u865a\u62df\u673a\u91cc\u8dd1\u672c\u5730\u5927\u6a21\u578b<\/a>\uff0c\u89e3\u51b3\u4e86"\u6587\u672c\u6a21\u578b\u672c\u5730\u8dd1"\u7684\u95ee\u9898\u3002\u4f46\u5149\u6709\u6587\u672c\u8fd8\u4e0d\u591f\u2014\u2014\u5f88\u591a\u5de5\u4f5c\u6d41\uff08\u81ea\u5a92\u4f53\u914d\u56fe\u3001AI \u6f2b\u5267\u3001\u4ea7\u54c1\u793a\u610f\uff09\u90fd\u9700\u8981\u7a33\u5b9a\u7684\u672c\u5730\u51fa\u56fe\u80fd\u529b\u3002\u4e91 API \u6309\u5f20\u8ba1\u8d39\u3001\u6392\u961f\u8fd8\u53d7\u9650\u6d41\uff0c\u800c\u81ea\u5df1\u663e\u5361\u4e0a\u7684 ComfyUI \u4e00\u6b21\u90e8\u7f72\u3001\u968f\u7528\u968f\u51fa\uff0c\u8fb9\u9645\u6210\u672c\u51e0\u4e4e\u4e3a\u96f6\u3002\u8fd9\u7bc7\u8bb0\u5f55\u6211\u4eec\u5b9e\u9645\u7684 ComfyUI \u90e8\u7f72\u6d41\u7a0b\uff0c\u5e76\u5728\u771f\u5b9e\u673a\u5668\u4e0a\u5b9e\u6d4b\u4e86 SDXL \u51fa\u56fe\u7684\u663e\u5b58\u5360\u7528\u2014\u2014\u6570\u636e\u4e0d\u662f\u7f51\u4e0a\u6284\u7684\uff0c\u662f\u90e8\u7f72\u5f53\u5929\u8f6e\u8be2 API \u8bb0\u4e0b\u6765\u7684\u3002<\/p>\n

\u73af\u5883\u51c6\u5907\uff1aPython \u7248\u672c\u4e0e\u4f9d\u8d56\u9694\u79bb<\/h2>\n

ComfyUI \u5bf9 Python \u7248\u672c\u6bd4\u8f83\u654f\u611f\uff0c\u5b98\u65b9\u63a8\u8350 Python 3.10\u20133.12\uff0c\u5efa\u8bae\u7528\u72ec\u7acb\u865a\u62df\u73af\u5883\u9694\u79bb\uff0c\u4e0d\u8981\u6c61\u67d3\u7cfb\u7edf Python\uff1a<\/p>\n

git clone https:\/\/github.com\/comfyanonymous\/ComfyUI.git\ncd ComfyUI\npython -m venv venv\nsource venv\/bin\/activate  # Windows \u4e0b\u7528 venv\\Scripts\\activate\npip install torch torchvision torchaudio --index-url https:\/\/download.pytorch.org\/whl\/cu124\npip install -r requirements.txt<\/code><\/pre>\n
<\/p>\n
\u5148\u4ea4\u4ee3\u672c\u6587\u7684\u5b9e\u6d4b\u73af\u5883\uff08\u53d6\u81ea\u90e8\u7f72\u673a \/system_stats<\/code> \u63a5\u53e3\u8fd4\u56de\uff09\uff1a<\/p>\n
    \n
  • \u663e\u5361\uff1aNVIDIA GeForce RTX 4070 Ti SUPER\uff0c16 GB \u663e\u5b58<\/li>\n
  • ComfyUI 0.38.0\uff0cPython 3.12.3\uff0cPyTorch 2.14.0+cu130\uff0cLinux<\/li>\n
  • \u5e95\u6a21\uff1aJuggernaut-XL v9\uff08SDXL \u7cfb\uff09<\/li>\n<\/ul>\n
    \u56fd\u5185\u7f51\u7edc\u73af\u5883\u4e0b\uff0cGitHub \u514b\u9686\u548c PyPI \u4e0b\u8f7d\u90fd\u53ef\u80fd\u5f88\u6162\uff0cpip \u53ef\u4ee5\u52a0 -i https:\/\/pypi.tuna.tsinghua.edu.cn\/simple<\/code> \u6362\u6e05\u534e\u6e90\u3002<\/p>\n
    <\/p>\n
    \u6a21\u578b\u76ee\u5f55\u89c4\u8303\uff1a\u4e00\u5904\u5b58\u50a8\uff0c\u591a\u5904\u590d\u7528<\/h2>\n
    ComfyUI \u9ed8\u8ba4\u5728 ComfyUI\/models\/<\/code> \u4e0b\u6309\u7c7b\u578b\u5206\u76ee\u5f55\uff1acheckpoints<\/code>\uff08\u5e95\u6a21\uff09\u3001loras<\/code>\u3001vae<\/code>\u3001controlnet<\/code>\u3001upscale_models<\/code> \u7b49\u3002SDXL \u5e95\u6a21\u666e\u904d 6\u20137 GB\uff0c\u5982\u679c\u673a\u5668\u4e0a\u8fd8\u8dd1\u5176\u4ed6\u51fa\u56fe\u5de5\u5177\u6216\u8bad\u7ec3\u811a\u672c\uff0c\u5f3a\u70c8\u5efa\u8bae\u7528 extra_model_paths.yaml<\/code> \u7edf\u4e00\u6307\u5411\u4e00\u4e2a\u516c\u5171\u6a21\u578b\u4ed3\u5e93\uff0c\u907f\u514d\u6bcf\u5957\u5de5\u5177\u5404\u5b58\u4e00\u4efd\uff1a<\/p>\n
    a111:\n  base_path: \/data\/ai-models\/\n  checkpoints: models\/Stable-diffusion\n  loras: models\/Lora\n  vae: models\/VAE\n  controlnet: models\/ControlNet<\/code><\/pre>\n
    \u542f\u52a8\u547d\u4ee4\u5f88\u6734\u7d20\uff1a<\/p>\n
    python main.py --listen 0.0.0.0 --port 8188<\/code><\/pre>\n
    \u52a0 --listen<\/code> \u540e\u5c40\u57df\u7f51\u5185\u5176\u4ed6\u673a\u5668\u4e5f\u80fd\u8bbf\u95ee Web UI\uff0c\u9002\u5408"\u663e\u5361\u5728\u670d\u52a1\u5668\u3001\u64cd\u4f5c\u5728\u7b14\u8bb0\u672c"\u7684\u573a\u666f\uff1b\u53ea\u672c\u673a\u7528\u5c31\u53bb\u6389\uff0c\u5b89\u5168\u4e00\u4e9b\u3002\u6211\u4eec\u7684\u90e8\u7f72\u6b63\u662f\u8fd9\u79cd\u6a21\u5f0f\uff1aComfyUI \u8dd1\u5728\u673a\u623f\u5de5\u4f5c\u7ad9\u4e0a\uff0c\u65e5\u5e38\u64cd\u4f5c\u4ece\u529e\u516c\u673a\u6d4f\u89c8\u5668\u8bbf\u95ee\u3002<\/p>\n
    \"ComfyUI<\/p>\n
    \u4e0a\u56fe\u662f\u6211\u4eec\u90e8\u7f72\u673a\u7684\u5b9e\u9645\u754c\u9762\uff0c\u53f3\u4fa7\u4efb\u52a1\u961f\u5217\u91cc\u80fd\u770b\u5230\u672c\u6b21\u5b9e\u6d4b\u7559\u4e0b\u7684 bench_*<\/code> \u51fa\u56fe\u8bb0\u5f55\uff08\u5355\u5f20 6.6 \u79d2\u3001\u6279\u91cf 4 \u5f20 25 \u79d2\u90a3\u4e00\u7ec4\uff09\u3002<\/p>\n
    SDXL \u663e\u5b58\u5b9e\u6d4b\uff1a\u6279\u5927\u5c0f\u8fdc\u6bd4\u60f3\u8c61\u4e2d\u4fbf\u5b9c<\/h2>\n
    \u6d4b\u8bd5\u65b9\u6cd5\uff1a\u7528\u540c\u4e00\u4e2a\u6807\u51c6 SDXL \u5de5\u4f5c\u6d41\uff08Empty Latent \u2192 KSampler \u2192 VAE Decode\uff0ceuler \u91c7\u6837\u5668\u300130 \u6b65\u3001CFG 7\uff09\uff0c\u901a\u8fc7 ComfyUI \u7684 \/prompt<\/code> API \u63d0\u4ea4\u4efb\u52a1\uff0c\u540c\u65f6\u4ee5 0.3 \u79d2\u95f4\u9694\u8f6e\u8be2 \/system_stats<\/code> \u63a5\u53e3\u7684\u663e\u5b58\u5360\u7528\uff0c\u8bb0\u5f55\u6574\u4e2a\u51fa\u56fe\u8fc7\u7a0b\u4e2d\u7684\u5cf0\u503c\u3002\u4e09\u7ec4\u89c4\u683c\u7684\u7ed3\u679c\uff1a<\/p>\n\n\n\n\n\n\n\n
    \u51fa\u56fe\u89c4\u683c<\/th>\n\u6279\u5927\u5c0f<\/th>\n\u663e\u5b58\u5cf0\u503c<\/th>\n\u603b\u8017\u65f6<\/th>\n\u644a\u5230\u5355\u5f20<\/th>\n<\/tr>\n<\/thead>\n
    1024\u00d71024<\/td>\n1<\/td>\n7.22 GB<\/td>\n7.2 s<\/td>\n7.2 s<\/td>\n<\/tr>\n
    1024\u00d71024<\/td>\n4<\/td>\n8.05 GB<\/td>\n27.4 s<\/td>\n6.9 s<\/td>\n<\/tr>\n
    1536\u00d7640\uff08\u5bbd\u5c4f\uff09<\/td>\n1<\/td>\n7.18 GB<\/td>\n7.0 s<\/td>\n7.0 s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \"SDXL<\/p>\n
    \u4e0a\u9762\u8fd9\u5f20\u5c31\u662f 1024\u00d71024 \u5355\u5f20\u7ec4\u7684\u5b9e\u9645\u4ea7\u51fa\uff08\u63d0\u793a\u8bcd\uff1a\u6e05\u6668\u7684\u5c71\u95f4\u68af\u7530\uff09\u3002\u4e09\u7ec4\u6570\u636e\u91cc\u6709\u51e0\u4e2a\u503c\u5f97\u6ce8\u610f\u7684\u70b9\uff1a<\/p>\n
      \n
    • \u6279\u5927\u5c0f\u5bf9\u663e\u5b58\u7684\u5f71\u54cd\u51fa\u5947\u5730\u5c0f<\/strong>\uff1abatch \u4ece 1 \u52a0\u5230 4\uff0c\u663e\u5b58\u5cf0\u503c\u53ea\u591a\u4e86 0.83 GB\uff0c\u603b\u8017\u65f6 27.4 \u79d2\u3001\u5355\u5f20\u644a\u8584\u5230 6.9 \u79d2\u53cd\u800c\u66f4\u5feb\u3002\u9700\u8981\u6279\u91cf\u51fa\u56fe\uff08\u6bd4\u5982\u4e00\u6b21\u7ed9\u6587\u7ae0\u914d 4 \u5f20\u5019\u9009\uff09\u65f6\uff0c\u653e\u5fc3\u5f00 batch\u3002<\/li>\n<\/ul>\n
      \"SDXL<\/p>\n
      \u4e0a\u9762\u8fd9\u5f20\u6765\u81ea\u6279\u91cf 4 \u5f20\u7ec4\uff0c\u4e0e\u5355\u5f20\u7ec4\u540c\u4e3a 1024\u00d71024\u3001\u540c\u6837\u63d0\u793a\u8bcd\u98ce\u683c\uff0c\u753b\u8d28\u6ca1\u6709\u56e0\u4e3a\u6279\u91cf\u800c\u6253\u6298\u3002<\/p>\n
        \n
      • \u663e\u5b58\u770b\u7684\u662f\u50cf\u7d20\u603b\u91cf\uff0c\u4e0d\u662f\u5bbd\u9ad8\u6bd4<\/strong>\uff1a1536\u00d7640\uff0898 \u4e07\u50cf\u7d20\uff09\u548c 1024\u00d71024\uff08105 \u4e07\u50cf\u7d20\uff09\u5cf0\u503c\u51e0\u4e4e\u4e00\u6837\uff0c\u90fd\u662f 7.2 GB \u5de6\u53f3\u3002\u60f3\u8d85\u8fd9\u4e2a\u5206\u8fa8\u7387\u6863\u4f4d\uff0c\u663e\u5b58\u624d\u4f1a\u660e\u663e\u8df3\u6da8\u3002<\/li>\n
      • 8 GB \u663e\u5361\u662f SDXL \u7684\u5165\u95e8\u7ebf<\/strong>\uff1a\u5355\u5f20 7.22 GB \u7684\u5cf0\u503c\u610f\u5473\u7740 8 GB \u5361\u521a\u597d\u538b\u7ebf\uff0c\u5efa\u8bae\u52a0 --lowvram<\/code> \u6216\u542f\u7528 VAE tiling \u9632\u89e3\u7801\u9636\u6bb5\u7206\u663e\u5b58\uff1b16 GB \u5361\u5219\u6709\u5145\u5206\u4f59\u91cf\u6302 LoRA\u3001ControlNet\u3002<\/li>\n
      • \u663e\u5b58\u5b9e\u5728\u7d27\u5f20\u65f6\uff0c\u542f\u52a8\u53c2\u6570 --cpu-vae<\/code> \u53ef\u4ee5\u628a VAE \u89e3\u7801\u632a\u5230\u5185\u5b58\u6267\u884c\uff0c\u727a\u7272\u51e0\u79d2\u901f\u5ea6\u6362\u7a33\u5b9a\u6027\u3002<\/li>\n<\/ul>\n
        <\/p>\n
        \u5de5\u4f5c\u6d41\u7ba1\u7406\uff1a\u628a"\u4e00\u6b21\u51fa\u56fe"\u53d8\u6210"\u53ef\u590d\u7528\u6d41\u6c34\u7ebf"<\/h2>\n
        ComfyUI \u7684\u6838\u5fc3\u4ef7\u503c\u4e0d\u662f"\u53c8\u4e00\u4e2a\u51fa\u56fe\u754c\u9762"\uff0c\u800c\u662f\u8282\u70b9\u5316\u5de5\u4f5c\u6d41\u53ef\u4ee5\u4fdd\u5b58\u4e3a JSON \u53cd\u590d\u590d\u7528\u3002\u6211\u4eec\u7684\u5b9e\u9645\u505a\u6cd5\uff1a<\/p>\n
          \n
        • \u5de5\u4f5c\u6d41 JSON \u6309\u7528\u9014\u5f52\u6863\uff08\u5982 sdxl-basic.json<\/code>\u3001\u56fe\u751f\u89c6\u9891\u9996\u5e27\u5de5\u4f5c\u6d41\uff09\uff0c\u7eb3\u5165 git \u7ba1\u7406\uff1b<\/li>\n
        • \u51fa\u56fe PNG \u9ed8\u8ba4\u5d4c\u5165\u5b8c\u6574\u5de5\u4f5c\u6d41\u5143\u6570\u636e\uff0c\u65e5\u540e\u62d6\u56de\u754c\u9762\u5373\u53ef\u590d\u73b0\u5168\u90e8\u53c2\u6570\uff1b<\/li>\n
        • \u5de5\u4f5c\u6d41\u6210\u719f\u540e\uff0c\u628a ComfyUI \u7684 \/prompt<\/code> API \u5f53"\u51fa\u56fe\u540e\u7aef"\uff0c\u7531\u4e0a\u5c42\u811a\u672c\u7edf\u4e00\u8c03\u5ea6\u2014\u2014\u672c\u7ad9\u9898\u56fe\u5c31\u662f\u7528\u8fd9\u6761\u6d41\u6c34\u7ebf\u81ea\u52a8\u4ea7\u51fa\u5e76\u6302\u8f7d\u7684\uff0c\u672c\u6b21\u5b9e\u6d4b\u811a\u672c\u4e5f\u662f\u76f4\u63a5\u8c03 API \u5b8c\u6210\u7684\u3002<\/li>\n<\/ul>\n
          <\/p>\n
          \u603b\u7ed3<\/h2>\n
          ComfyUI \u672c\u5730\u90e8\u7f72\u7684\u5173\u952e\u5c31\u4e09\u4ef6\u4e8b\uff1aPython \u73af\u5883\u9694\u79bb\u3001\u6a21\u578b\u76ee\u5f55\u7edf\u4e00\u3001\u663e\u5b58\u91cf\u529b\u800c\u884c\u3002\u4ece\u6211\u4eec\u7684\u5b9e\u6d4b\u770b\uff0cSDXL \u6807\u51c6\u5206\u8fa8\u7387\u7684\u663e\u5b58\u5cf0\u503c\u7ea6 7.2 GB\uff0c8 GB \u5361\u538b\u7ebf\u53ef\u73a9\u300116 GB \u5361\u4ece\u5bb9\uff1b\u6279\u91cf\u51fa\u56fe\u51e0\u4e4e\u4e0d\u52a0\u663e\u5b58\u8fd8\u644a\u8584\u8017\u65f6\uff0c\u662f\u88ab\u4f4e\u4f30\u7684\u6027\u4ef7\u6bd4\u624b\u6bb5\u3002\u6700\u540e\u5efa\u8bae\u90e8\u7f72\u5b8c\u7acb\u523b\u8dd1\u4e00\u6b21\u6807\u51c6\u5de5\u4f5c\u6d41\u5e76\u8bb0\u5f55\u81ea\u5df1\u673a\u5668\u7684\u5cf0\u503c\u4f5c\u4e3a\u57fa\u51c6\u7ebf\u2014\u2014\u540e\u7eed\u6bcf\u52a0\u4e00\u7c7b\u8282\u70b9\uff0c\u5bf9\u7167\u8fd9\u6761\u7ebf\u5c31\u80fd\u5feb\u901f\u5224\u65ad\u663e\u5b58\u662f\u5426\u8d85\u914d\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
          \u4ece\u73af\u5883\u51c6\u5907\u3001\u6a21\u578b\u76ee\u5f55\u89c4\u8303\u5230 SDXL \u51fa\u56fe\u663e\u5b58\u5b9e\u6d4b\uff0c\u5b8c\u6574\u8bb0\u5f55\u4e00\u5957\u53ef\u590d\u7528\u7684 ComfyUI \u672c\u5730\u90e8\u7f72\u6d41\u7a0b\uff0c\u5e2e\u4f60\u5728\u81ea\u5df1\u7684\u663e\u5361\u4e0a\u628a AI \u51fa\u56fe\u8dd1\u8d77\u6765\u3002<\/p>\n","protected":false},"author":1,"featured_media":930,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[46],"tags":[52,61,62],"class_list":["post-928","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-local-ai","tag-ai","tag-comfyui","tag-stablediffusion"],"_links":{"self":[{"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/posts\/928","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/comments?post=928"}],"version-history":[{"count":4,"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/posts\/928\/revisions"}],"predecessor-version":[{"id":937,"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/posts\/928\/revisions\/937"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/media\/930"}],"wp:attachment":[{"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/media?parent=928"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/categories?post=928"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cqiot.cc\/index.php\/wp-json\/wp\/v2\/tags?post=928"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}