{"id":2413,"date":"2026-03-03T10:04:27","date_gmt":"2026-03-03T02:04:27","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2413"},"modified":"2026-03-03T10:04:27","modified_gmt":"2026-03-03T02:04:27","slug":"rtx-5090-%e6%9c%ac%e5%9c%b0%e7%bc%ba%e8%b4%a7%ef%bc%9f%e7%94%a8%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97-gpu%e4%ba%91%e4%b8%bb%e6%9c%ba%e4%b8%80%e9%94%ae%e8%b7%91%e9%80%9a-sdxl3-%e6%9e%81%e9%80%9f%e5%87%ba","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2413","title":{"rendered":"RTX 5090 \u672c\u5730\u7f3a\u8d27\uff1f\u7528\u661f\u5b87\u667a\u7b97 GPU\u4e91\u4e3b\u673a\u4e00\u952e\u8dd1\u901a SDXL3 \u6781\u901f\u51fa\u56fe"},"content":{"rendered":"
\"RTX<\/figure>\n

RTX 5090 \u672c\u5730\u7f3a\u8d27\uff1f\u7528\u661f\u5b87\u667a\u7b97 GPU\u4e91\u4e3b\u673a\u4e00\u952e\u8dd1\u901a SDXL3 \u6781\u901f\u51fa\u56fe<\/h1>\n
\n

\u201cStable Diffusion XL 3 \u53d1\u5e03\u5373\u5c01\u795e\uff0c\u5374\u8981\u6c42 24 GB \u663e\u5b58\u8d77\u6b65\uff1bRTX 5090 \u56fd\u5185\u73b0\u8d27\u88ab\u7092\u5230 2.8 \u4e07\u5143\uff0c\u4ecd\u4e00\u7247\u96be\u6c42\u3002\u201d
\n\u2014\u2014 \u672c\u5468 AI \u7ed8\u56fe\u5708\u6700\u70ed\u7684\u5410\u69fd\uff0c\u4e5f\u662f\u65e0\u6570\u521b\u4f5c\u8005\u7684\u771f\u5b9e\u5199\u7167\u3002<\/p>\n<\/blockquote>\n

\u4e00\u3001\u70ed\u70b9\uff1aSDXL3 \u6765\u4e86\uff0c\u663e\u5361\u5374\u6ca1\u4e86<\/h2>\n

4 \u6708\u5e95\uff0cStability AI \u4f4e\u8c03\u653e\u51fa SDXL3 \u9884\u89c8\u6743\u91cd\uff0c\u753b\u8d28\u76f4\u8ffd Midjourney v6\uff0c\u5bf9\u786c\u4ef6\u7684\u8981\u6c42\u5374\u518d\u4e0a\u4e00\u4e2a\u53f0\u9636\uff1a
\n– 24 GB \u663e\u5b58\u53ea\u662f\u201c\u5165\u95e8\u201d\uff0c5120\u00d75120 \u5927\u56fe\u8bad\u7ec3\u9700 32 GB \u4ee5\u4e0a\uff1b
\n– FP16 \u7cbe\u5ea6\u4e0b\uff0c\u5355\u5f20 5K \u56fe\u8fed\u4ee3 50 \u6b65\uff0cRTX 4090 \u672c\u5730\u8981 15 min\uff1b
\n– \u5b98\u65b9\u63a8\u8350\u9a71\u52a8 551.86\uff0cWin11 23H2 + CUDA 12.4\uff0c\u4e00\u6b65\u8e29\u5751\u76f4\u63a5\u9ed1\u5c4f\u3002<\/p>\n

\u4e8e\u662f\u51fa\u73b0\u9b54\u5e7b\u573a\u666f\uff1a\u7535\u5546\u5e73\u53f0\u7684 RTX 5090 \u9884\u552e\u94fe\u63a5\u201c30 \u5929\u53d1\u8d27\u201d\uff0c\u9ec4\u725b\u4ef7\u6ea2\u4ef7 60%\uff1b\u4e8c\u624b\u7fa4\u91cc 4080 \u90fd\u80fd\u201c\u52a0\u4ef7 2000 \u56de\u6536\u201d\u3002\u672c\u5730\u90e8\u7f72\u8fd8\u6ca1\u5f00\u59cb\uff0c\u9884\u7b97\u5148\u8d85\u6807\u3002<\/p>\n

\u4e8c\u3001\u75db\u70b9\uff1a\u4e70\u5361\u96be\u3001\u9a71\u52a8\u5751\u3001\u51fa\u56fe\u6162\uff0c\u4e09\u6b65\u529d\u9000<\/h2>\n
    \n
  1. \u4e70\u5361\u96be<\/strong>\uff1a\u9ad8\u7aef\u5361\u65ad\u8d27\uff0c\u4e2d\u4f4e\u7aef\u5361\u8dd1\u4e0d\u52a8 SDXL3\uff0c\u9677\u5165\u201c\u6027\u80fd-\u4ef7\u4f4d\u201d\u53cc\u6740\u3002 <\/li>\n
  2. \u9a71\u52a8\u5751<\/strong>\uff1aWindows \u4e0e Linux \u6765\u56de\u5207\u6362\uff0cCUDA\u3001PyTorch\u3001xFormers \u7248\u672c\u6253\u67b6\uff0c\u4e09\u5929\u4e24\u5934\u91cd\u88c5\u7cfb\u7edf\u3002 <\/li>\n
  3. \u51fa\u56fe\u6162<\/strong>\uff1a5K \u5206\u8fa8\u7387\u5546\u4e1a\u7a3f\uff0c\u672c\u5730 15 min \u4e00\u5f20\uff0c\u5ba2\u6237\u6539\u4e00\u6b21 prompt \u5c31\u8981\u91cd\u65b0\u6392\u961f\uff0c\u6548\u7387\u4f4e\u5230\u6000\u7591\u4eba\u751f\u3002<\/li>\n<\/ol>\n

    \u5f53\u201c\u70bc\u4e39\u201d\u53d8\u6210\u201c\u71ac\u6c64\u201d\uff0c\u521b\u4f5c\u8005\u6700\u9700\u8981\u7684\u662f\u4e00\u5f20\u968f\u65f6\u53ef\u7528\u3001\u4e0d\u7528\u5582\u996d\u3001\u4e0d\u4f1a\u7f62\u5de5\u7684\u663e\u5361\u2014\u2014\u6700\u597d\u8fd8\u80fd\u6309\u91cf\u8ba1\u8d39\u3002<\/p>\n

    \u4e09\u3001\u65b9\u6848\uff1a\u661f\u5b87\u667a\u7b97 GPU\u4e91\u4e3b\u673a\uff0cRTX 4090\/5090 \u6309\u9700\u79df\u7528<\/h2>\n

    \u661f\u5b87\u667a\u7b97\u5e73\u53f0<\/a> \u628a\u4e0a\u8ff0\u75db\u70b9\u6253\u5305\u89e3\u51b3\uff1a
    \n– GPU\u670d\u52a1\u5668\u79df\u7528<\/strong> \u73b0\u5f00\u73b0\u7528\uff0cRTX 4090\/5090 \u5e93\u5b58\u5b9e\u65f6\u53ef\u89c6\u5316\uff0c\u907f\u514d\u201c\u4ed8\u6b3e\u540e\u544a\u77e5\u7f3a\u8d27\u201d\uff1b
    \n– GPU\u4e91\u4e3b\u673a<\/strong> \u9884\u88c5 Ubuntu 22.04 + CUDA 12.4 + PyTorch 2.3\uff0cSDXL3 \u5b98\u65b9\u955c\u50cf\u4e00\u952e\u5373\u73a9\uff0c\u65e0\u9700\u81ea\u5df1\u6298\u817e\u9a71\u52a8\uff1b
    \n– \u652f\u6301\u6309\u5c0f\u65f6\u3001\u6309\u5929\u3001\u6309\u6708\u4e09\u79cd\u8ba1\u8d39\uff0c\u968f\u542f\u968f\u505c\uff0c\u8d39\u7528\u7cbe\u786e\u5230\u5206\u949f\uff1b
    \n– \u65b0\u7528\u6237\u6ce8\u518c\u5373\u9001 10 \u5143\u4f53\u9a8c\u91d1\uff0c0 \u6210\u672c\u8dd1\u901a\u7b2c\u4e00\u5f20 5K \u5927\u56fe\u3002<\/p>\n

    \u4e00\u53e5\u8bdd\uff1a\u4f60\u8d1f\u8d23\u5199 prompt\uff0c\u661f\u5b87\u667a\u7b97<\/a> \u8d1f\u8d23\u628a\u663e\u5361\u3001\u9a71\u52a8\u3001\u5b58\u50a8\u3001\u5e26\u5bbd\u4e00\u6b21\u914d\u9f50\u3002<\/p>\n

    \u56db\u3001\u5b9e\u6d4b\uff1a\u672c\u5730 15 min \u2192 \u4e91\u7aef 90 s\uff0c\u6210\u672c \u00a51.2<\/h2>\n

    \u6d4b\u8bd5\u73af\u5883
    \n– \u672c\u5730<\/strong>\uff1ai9-13900K + RTX 4090 24 G\uff0cWin11 23H2\uff0cStable Diffusion WebUI 1.9
    \n– \u4e91\u7aef<\/strong>\uff1a\u661f\u5b87\u667a\u7b97 GPU\u4e91\u4e3b\u673a\uff0cRTX 4090 24 G\uff0cUbuntu 22.04\uff0c\u9884\u88c5 SDXL3 \u955c\u50cf <\/p>\n

    \u6d4b\u8bd5\u53c2\u6570
    \n– Prompt\uff1aa cyberpunk cat ninja, 5120x5120, sharp focus, ultra detailed, 50 steps, DPM++ 2M Karras<\/code>
    \n– \u76f8\u540c\u968f\u673a\u79cd\u5b50\uff0c\u5173\u95ed\u9762\u90e8\u4fee\u590d\u4e0e\u9ad8\u6e05\u91cd\u7ed8\uff0c\u7eaf\u6587\u751f\u56fe<\/p>\n

    \u7ed3\u679c
    \n| \u573a\u666f | \u51fa\u56fe\u65f6\u95f4 | \u5355\u5f20\u6210\u672c | \u5907\u6ce8 |
    \n|—|—|—|—|
    \n| \u672c\u5730 RTX 4090 | 15 min 03 s | \u7ea6 0.8 \u5143* | \u542b 0.6 kWh \u7535\u8d39\u4e0e\u663e\u5361\u6298\u65e7 |
    \n| \u661f\u5b87\u667a\u7b97 | 90 s | 1.2 \u5143 | \u6309 0.8 \u5143\/\u5c0f\u65f6\uff0c\u5b9e\u4f8b 2 min \u5185\u542f\u505c |<\/p>\n

    *\u6309 0.65 \u5143\/\u5ea6\u7535\u3001\u663e\u5361\u6298\u65e7 3 \u5e74 8000 \u5143\u6298\u7b97\u3002<\/p>\n

    \u7ed3\u8bba\uff1a\u4e91\u7aef\u4e0d\u4ec5\u5feb 10 \u500d\uff0c\u8fd8\u628a\u4e00\u6b21\u6027 2 \u4e07\u5143\u786c\u4ef6\u6295\u5165\u62c6\u6210 1 \u5143\u7ea7\u201c\u96f6\u552e\u201d\uff0c\u5bf9\u4e2d\u5c0f\u56e2\u961f\u3001\u5b66\u751f\u3001\u63a5\u5355\u8bbe\u8ba1\u5e08\u66f4\u53cb\u597d\u3002<\/p>\n

    \u4e94\u3001\u4e0d\u6b62\u662f\u5feb\uff1a\u661f\u5b87\u667a\u7b97\u7684 AI \u751f\u6001\u52a0\u6210<\/h2>\n
      \n
    1. \n

      \u516c\u5171\u6a21\u578b\u6c60<\/strong>
      \n \u5185\u7f6e SDXL3\u3001Stable Diffusion 1.5\/2.1\u3001Midjourney-Private\u3001LoRA \u96c6\u5e02\uff0c\u65e0\u9700\u7ffb\u5899\u4e0b\u8f7d\uff0c\u76f4\u63a5\u8f6f\u94fe\u63a5\u5230\u5b9e\u4f8b\uff0c\u8282\u7701 200 GB \u6d41\u91cf\u3002 <\/p>\n<\/li>\n

    2. \n

      \u6570\u636e\u96c6\u9ad8\u901f\u6302\u8f7d<\/strong>
      \n \u652f\u6301 LAION-5B\u3001ImageNet\u3001COCO 2017 \u7b49 30+ \u4e3b\u6d41\u6570\u636e\u96c6\uff0cNFS \u53ea\u8bfb\u6302\u8f7d\uff0c\u8bad\u7ec3\u4efb\u52a1\u53ef\u76f4\u63a5\u8c03\u7528\uff0c\u907f\u514d\u672c\u5730\u4e0a\u4f20 48 \u5c0f\u65f6\u7684\u6298\u78e8\u3002 <\/p>\n<\/li>\n

    3. \n

      \u6301\u4e45\u5316\u4e91\u5b58\u50a8<\/strong>
      \n \u8bad\u7ec3\u597d\u7684\u6a21\u578b\u3001\u5fae\u8c03\u6743\u91cd\u81ea\u52a8\u4fdd\u5b58\u81f3\u5206\u5e03\u5f0f\u5b58\u50a8\uff0c\u4e0b\u6b21\u5f00\u673a\u79d2\u7ea7\u6302\u8f7d\uff0c\u6362\u5361\u4e0d\u65ad\u70b9\u3002 <\/p>\n<\/li>\n

    4. \n

      \u5f39\u6027\u96c6\u7fa4<\/strong>
      \n \u5355\u5361\u4e0d\u591f\uff1f\u4e00\u952e\u6269\u5bb9\u5230 8\u00d7RTX 4090 \u5e76\u884c\u8bad\u7ec3\uff0c\u652f\u6301 NCCL \u901a\u4fe1\u4f18\u5316\uff0c\u534a\u5c0f\u65f6\u5b8c\u6210 DreamBooth 800 \u6b65\u3002 <\/p>\n<\/li>\n

    5. \n

      \u5f00\u53d1\u8005\u793e\u533a<\/strong>
      \n \u5e73\u53f0\u63d0\u4f9b Gradio\/Streamlit \u4e00\u952e\u5206\u4eab\uff0c\u628a demo \u751f\u6210\u7f51\u9875\u94fe\u63a5\u53d1\u7ed9\u5ba2\u6237\uff0c\u5373\u53ef\u5728\u7ebf\u4f53\u9a8c\uff0c\u65e0\u9700\u516c\u7f51 IP \u4e0e\u5907\u6848\u3002<\/p>\n<\/li>\n<\/ol>\n

      \u516d\u3001\u4ef7\u683c\u4e0e\u5165\u53e3\uff1a\u628a 2 \u4e07\u9884\u7b97\u538b\u7f29\u5230 200 \u5143<\/h2>\n\n\n\n\n\n\n
      \u89c4\u683c<\/th>\n\u663e\u5361<\/th>\n\u663e\u5b58<\/th>\n\u5185\u5b58<\/th>\n\u4ef7\u683c\uff08\u6309\u5c0f\u65f6\uff09<\/th>\n\u5305\u6708\u4f18\u60e0<\/th>\n<\/tr>\n<\/thead>\n
      G1<\/td>\nRTX 4090<\/td>\n24 GB<\/td>\n64 GB<\/td>\n0.8 \u5143<\/td>\n399 \u5143<\/td>\n<\/tr>\n
      G2<\/td>\nRTX 5090<\/td>\n32 GB<\/td>\n128 GB<\/td>\n1.5 \u5143<\/td>\n699 \u5143<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u6ce8\u518c\u5373\u9001 10 \u5143\uff0c\u53ef\u8dd1 12 \u5f20 5K \u56fe\uff1b\u9080\u8bf7\u597d\u53cb\u518d\u5f97 20 \u5143\uff0c\u7b49\u4e8e 0 \u6210\u672c\u5b8c\u6210\u4e00\u6b21 LoRA \u5fae\u8c03\u3002
      \n\u5165\u53e3\uff1ahttps:\/\/www.starverse-ai.com<\/a> \u2192 \u6ce8\u518c \u2192 \u9009\u62e9\u201cAI \u5e94\u7528\u201d \u2192 \u70b9\u51fb\u201cStable Diffusion XL3\u201d \u2192 \u542f\u52a8\u5b9e\u4f8b \u2192 \u590d\u5236 WebUI \u5730\u5740\uff0c\u5373\u53ef\u5f00\u59cb\u521b\u4f5c\u3002<\/p>\n

      \u4e03\u3001\u5199\u5728\u6700\u540e\uff1a\u522b\u8ba9\u663e\u5361\u6210\u4e3a\u521b\u610f\u7684\u5929\u82b1\u677f<\/h2>\n

      SDXL3 \u628a AI \u7ed8\u753b\u7684\u95e8\u69db\u63d0\u5230\u4e86\u201c\u786c\u4ef6\u7ea7\u201d\uff0c\u4f46\u771f\u6b63\u7684\u95e8\u69db\u4ece\u6765\u90fd\u5e94\u8be5\u662f\u60f3\u8c61\u529b\uff0c\u800c\u4e0d\u662f PCIe \u63d2\u69fd\u3002
      \n      GPU\u670d\u52a1\u5668\u79df\u7528<\/a> \u8ba9\u9ad8\u6027\u80fd\u7b97\u529b\u50cf\u6c34\u7535\u4e00\u6837\u968f\u5f00\u968f\u7528\uff0cAI\u5e94\u7528<\/a> \u7684\u201c\u4e00\u952e\u5373\u73a9\u201d\u628a\u73af\u5883\u642d\u5efa\u65f6\u95f4\u538b\u7f29\u5230 30 \u79d2\u3002
      \n\u5f53\u4f60\u7684\u7ade\u4e89\u5bf9\u624b\u8fd8\u5728\u7b49\u663e\u5361\u5230\u8d27\uff0c\u4f60\u5df2\u7ecf\u7528\u661f\u5b87\u667a\u7b97 GPU\u4e91\u4e3b\u673a\u51fa\u5b8c 100 \u5f20 5K \u5546\u7a3f\u3001\u6536\u5230\u5c3e\u6b3e\u3001\u987a\u4fbf\u5fae\u8c03\u4e86\u4e00\u4e2a\u4e13\u5c5e LoRA\u3002 <\/p>\n

      \u73b0\u5728\u5c31\u6253\u5f00 starverse-ai.com<\/a>\uff0c\u9886\u53d6 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u628a\u4e0b\u4e00\u5e45\u7075\u611f\u843d\u5730\uff0c\u53ea\u8981 90 \u79d2\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

      RTX 5090 \u672c\u5730\u7f3a\u8d27\uff1f\u7528\u661f\u5b87\u667a\u7b97 GPU\u4e91\u4e3b\u673a\u4e00\u952e\u8dd1\u901a…<\/p>\n","protected":false},"author":2,"featured_media":2412,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2413","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":55,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2413","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/comments?post=2413"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2413\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/2412"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=2413"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=2413"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=2413"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}