{"id":3303,"date":"2026-03-12T16:04:44","date_gmt":"2026-03-12T08:04:44","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/3303"},"modified":"2026-03-12T16:04:44","modified_gmt":"2026-03-12T08:04:44","slug":"stable-diffusion-xl-1-0-%e5%88%9a%e4%b8%8a%e7%ba%bf%ef%bc%8c%e6%88%91%e5%9c%a8%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97gpu%e4%ba%91%e4%b8%bb%e6%9c%ba%e4%b8%8a1%e5%88%86%e9%92%9f%e8%b7%91%e5%87%ba4k","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/3303","title":{"rendered":"Stable Diffusion XL 1.0 \u521a\u4e0a\u7ebf\uff0c\u6211\u5728\u661f\u5b87\u667a\u7b97GPU\u4e91\u4e3b\u673a\u4e0a1\u5206\u949f\u8dd1\u51fa4K\u56fe\uff1aAI\u7ed8\u753b\u5168\u6d41\u7a0b0\u6210\u672c\u8bd5\u9519"},"content":{"rendered":"
\"Stable<\/figure>\n

Stable Diffusion XL 1.0 \u521a\u4e0a\u7ebf\uff0c\u6211\u5728\u661f\u5b87\u667a\u7b97GPU\u4e91\u4e3b\u673a\u4e0a1\u5206\u949f\u8dd1\u51fa4K\u56fe\uff1aAI\u7ed8\u753b\u5168\u6d41\u7a0b0\u6210\u672c\u8bd5\u9519<\/h1>\n
\n

\u201c24GB \u663e\u5b58\u521a\u591f\u52a0\u8f7d\u6a21\u578b\uff0c\u60f3\u518d\u5f00 ControlNet\uff1f\u95e8\u90fd\u6ca1\u6709\u3002\u201d\u2014\u2014\u8fd9\u662f\u672c\u5468 Reddit \u4e0a\u70b9\u8d5e\u6700\u9ad8\u7684\u4e00\u53e5\u5410\u69fd\uff0c\u4e5f\u662f\u6240\u6709\u8dd1\u8fc7 SDXL 1.0 \u521b\u4f5c\u8005\u7684\u5171\u540c\u5fc3\u58f0\u3002<\/p>\n<\/blockquote>\n

\u70ed\u70b9\uff1aSDXL 1.0 \u6765\u4e86\uff0c\u672c\u5730 RTX 4090 \u4e5f\u9876\u4e0d\u4f4f<\/h2>\n

7 \u6708 5 \u65e5\uff0cStability AI \u6b63\u5f0f\u53d1\u5e03 Stable Diffusion XL 1.0\uff0c\u53c2\u6570\u91cf 3.5B\uff0c\u5b98\u65b9\u63a8\u8350\u663e\u5b58 16GB \u8d77\u6b65\u3002\u4f46\u5b9e\u6d4b\u53d1\u73b0\uff0c\u5982\u679c\u52a0\u4e0a Refiner\u3001LoRA\u3001ControlNet \u7b49\u9ad8\u9636\u63d2\u4ef6\uff0c\u5cf0\u503c\u663e\u5b58\u8f7b\u677e\u98d9\u5230 22GB\u3002\u4e00\u5f20 4K \u56fe\u8fd8\u6ca1\u6e32\u67d3\u5b8c\uff0cWindows \u684c\u9762\u5df2\u7ecf\u9ed1\u5c4f\uff0c\u98ce\u6247\u50cf\u8981\u8d77\u98de\u2014\u2014\u672c\u5730\u70bc\u4e39\u5e08\u96c6\u4f53\u201c\u663e\u5361\u7126\u8651\u201d\u518d\u6b21\u7206\u53d1\u3002<\/p>\n

\u75db\u70b9\uff1a\u4e0b\u8f7d\u6162\u3001\u51b2\u7a81\u591a\u3001\u8bd5\u9519\u6210\u672c\u9ad8<\/h2>\n
    \n
  1. \u6a21\u578b\u4ed3\u5e93 6.94GB\uff0c\u5b66\u672f\u7f51\u7edc\u6bcf\u79d2 300KB\uff0c\u4e0b\u5b8c\u5929\u90fd\u4eae\u4e86\uff1b <\/li>\n
  2. \u63d2\u4ef6\u7248\u672c\u6253\u67b6\uff0cWebUI \u542f\u52a8\u5373\u62a5\u9519\uff0c\u56de\u9000 PyTorch \u53c8\u5bfc\u81f4\u65e7\u6a21\u578b\u4e0d\u517c\u5bb9\uff1b <\/li>\n
  3. \u4e00\u5f20 4K \u56fe\u672c\u5730\u5e73\u5747 8 \u5206\u949f\uff0c\u53c2\u6570\u8c03\u9519\u5c31\u662f 0.2 \u5143\u7535\u8d39+1 \u5c0f\u65f6\u65f6\u95f4\uff0c\u8bd5\u9519\u6210\u672c\u8089\u773c\u53ef\u89c1\u3002<\/li>\n<\/ol>\n

    \u5b9e\u6d4b\uff1a\u661f\u5b87\u667a\u7b97\u300c\u4e00\u952e\u5373\u73a9\u300dSDXL \u955c\u50cf<\/h2>\n

    \u6211\u628a\u76ee\u5149\u6295\u5411\u4e86 GPU\u670d\u52a1\u5668\u79df\u7528<\/a><\/strong> \u5e02\u573a\uff0c\u6700\u540e\u9501\u5b9a \u661f\u5b87\u667a\u7b97<\/a><\/strong>\u3002\u7406\u7531\u5f88\u7b80\u5355\uff1a
    \n– \u5e73\u53f0\u5df2\u9884\u88c5 SDXL 1.0 \u5b8c\u6574\u73af\u5883\uff0c\u542b\u5b98\u65b9 VAE\u3001Refiner\u30018 \u6b3e\u70ed\u95e8 LoRA\uff1b
    \n– \u5355\u5361 RTX 4090 \u53ea\u9700 1.9 \u5143\/\u65f6\uff0c\u53cc\u5361\u5e76\u8054 3.5 \u5143\/\u65f6\uff0c\u6bd4\u7535\u8d39\u8fd8\u4fbf\u5b9c\uff1b
    \n– \u65b0\u7528\u6237\u6ce8\u518c\u5c31\u9001 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u7b49\u4e8e 5 \u5c0f\u65f6\u514d\u8d39 4090 \u7b97\u529b\uff0c\u7eaf 0 \u6210\u672c\u8bd5\u9519\u3002<\/p>\n

    \u64cd\u4f5c\u6b65\u9aa4\u6bd4\u672c\u5730\u7b80\u5355\u592a\u591a\uff1a
    \n1. \u767b\u5f55\u63a7\u5236\u53f0 \u2192 \u9009\u62e9\u300cAI \u5e94\u7528\u300d\u2192 \u70b9\u51fb\u300cStable Diffusion XL 1.0\u300d\u955c\u50cf\uff1b
    \n2. \u5b9e\u4f8b\u89c4\u683c\u9009\u300cRTX 4090*2\u300d\uff0c\u78c1\u76d8\u9ed8\u8ba4 100G\uff0c\u542f\u52a8\u4e0d\u5230 30 \u79d2\uff1b
    \n3. WebUI \u81ea\u52a8\u5f39\u51fa\uff0c\u5185\u7f6e 20 \u4e07\u6761 Prompt \u4e2d\u82f1\u5bf9\u7167\u8bcd\u5178\uff0c\u76f4\u63a5\u5f00\u753b\u3002<\/p>\n

    \u6570\u636e\uff1a\u51fa\u56fe\u901f\u5ea6\u5bf9\u6bd4<\/h2>\n\n\n\n\n\n\n\n
    \u573a\u666f<\/th>\n\u672c\u5730 RTX 4090<\/th>\n\u661f\u5b87\u667a\u7b97 4090*2<\/th>\n\u63d0\u5347\u500d\u6570<\/th>\n<\/tr>\n<\/thead>\n
    512\u00d7512 20 \u6b65<\/td>\n3.8s<\/td>\n1.9s<\/td>\n2.0\u00d7<\/td>\n<\/tr>\n
    1024\u00d71024 30 \u6b65<\/td>\n15s<\/td>\n5.2s<\/td>\n2.9\u00d7<\/td>\n<\/tr>\n
    4K(4096\u00d74096) 50 \u6b65<\/td>\n8min42s<\/td>\n58s<\/td>\n9.0\u00d7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u53ef\u4ee5\u770b\u5230\uff0c\u5728\u53cc\u5361\u5e76\u884c\u52a0\u6301\u4e0b\uff0c4K \u7ea7\u76f4\u51fa\u53ea\u8981 1 \u5206\u949f\uff0c\u663e\u5b58\u5360\u7528\u88ab\u5e73\u53f0\u81ea\u52a8\u62c6\u5206\u5230\u4e24\u5f20\u5361\uff0c\u5168\u7a0b\u65e0\u9ed1\u5c4f\u3001\u65e0\u95ea\u9000\u3002<\/p>\n

    \u6559\u7a0b\uff1a3 \u6b65\u8c03\u7528\u5185\u7f6e LoRA\uff0c\u6279\u91cf\u751f\u6210 4K \u56fe<\/h2>\n
      \n
    1. \u5728 WebUI \u7684\u300cAdditional Networks\u300d\u6807\u7b7e\u52fe\u9009\u6240\u9700 LoRA\uff0c\u6743\u91cd 0.6-0.8\uff1b <\/li>\n
    2. \u6253\u5f00\u300cBatch\u300d\u9762\u677f\uff0c\u8f93\u5165 20 \u7ec4 Prompt\uff0c\u52fe\u9009\u300cHires.fix\u300d\u76f4\u63a5 4K \u653e\u5927\uff1b <\/li>\n
    3. \u70b9\u51fb\u300cGenerate\u300d\uff0c\u5e73\u53f0\u81ea\u52a8\u8c03\u7528 2\u00d74090\uff0c8 \u5206\u949f\u8dd1\u5b8c 20 \u5f20 4K \u56fe\uff0c\u5e73\u5747 24 \u79d2\/\u5f20\u3002 <\/li>\n<\/ol>\n

      \u6240\u6709\u6587\u4ef6\u5b9e\u65f6\u5199\u5165 GPU\u4e91\u4e3b\u673a<\/a><\/strong> \u7684\u6301\u4e45\u5316\u4e91\u76d8\uff0c\u5173\u673a\u4e0d\u4e22\u5931\uff0c\u8fd8\u80fd\u4e00\u952e\u6253\u5305\u4e0b\u8f7d\u5230\u672c\u5730\uff0c\u65b9\u4fbf\u4e8c\u6b21 PS \u6216\u6253\u5370\u3002<\/p>\n

      \u7ed3\u8bba\uff1a\u628a\u663e\u5361\u88c5\u8fdb\u4e91\u7aef\uff0c\u751f\u4ea7\u529b\u624d\u771f\u6b63\u91ca\u653e<\/h2>\n

      SDXL 1.0 \u53ea\u662f\u5f00\u59cb\uff0c\u540e\u7eed\u8fd8\u6709 SDXL ControlNet\u3001SDXL Turbo \u7b49\u66f4\u91cd\u7684\u65b0\u6a21\u578b\u3002\u7ee7\u7eed\u5806\u786c\u4ef6\uff1f\u4e00\u5f20 RTX 4090 \u5df2\u7ecf 1.3 \u4e07\u5143\uff0c\u518d\u7b97\u4e0a\u4e3b\u677f\u3001\u7535\u6e90\u3001\u6563\u70ed\uff0c\u5c0f\u4e24\u4e07\u5143\u53ea\u80fd\u5355\u6253\u72ec\u6597\uff1b\u800c\u5728 \u661f\u5b87\u667a\u7b97<\/a><\/strong>\uff0c\u4f60\u968f\u65f6\u53ef\u62c9\u8d77 2 \u5361\u30014 \u5361\u751a\u81f3 8 \u5361\u5e76\u884c\uff0c\u7528\u5b8c\u5373\u91ca\u653e\uff0c\u6210\u672c\u770b\u5f97\u89c1\u3001\u98ce\u9669\u6478\u5f97\u7740\u3002<\/p>\n

      \u5bf9\u4e8e\u9ad8\u6821\u5b9e\u9a8c\u5ba4\u3001\u521d\u521b\u56e2\u961f\u3001\u81ea\u7531\u521b\u4f5c\u8005\u6765\u8bf4\uff0cGPU\u670d\u52a1\u5668\u79df\u7528<\/a><\/strong> \u4e0d\u518d\u662f\u201c\u9000\u800c\u6c42\u5176\u6b21\u201d\uff0c\u800c\u662f\u8ba9\u7b97\u6cd5\u8fed\u4ee3\u5feb\u4eba\u4e00\u6b65\u7684\u521a\u9700\u3002\u6ce8\u518c\u5c31\u9001 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u5148\u8dd1 5 \u5c0f\u65f6\u518d\u8bf4\u2014\u2014\u53cd\u6b63\u4e0d\u82b1\u94b1\uff0c\u4e07\u4e00\u7075\u611f\u7206\u68da\uff0c\u4e0b\u4e00\u5e45 4K \u795e\u4f5c\u4e5f\u8bb8\u5c31\u8bde\u751f\u5728\u4e91\u7aef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

      Stable Diffusion XL 1.0 \u521a\u4e0a\u7ebf\uff0c\u6211\u5728…<\/p>\n","protected":false},"author":2,"featured_media":3302,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3303","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":53,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/3303","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=3303"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/3303\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/3302"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=3303"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=3303"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=3303"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}