{"id":2755,"date":"2026-03-06T16:19:17","date_gmt":"2026-03-06T08:19:17","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2755"},"modified":"2026-03-06T16:19:17","modified_gmt":"2026-03-06T08:19:17","slug":"%e9%9b%b6%e5%9f%ba%e7%a1%80%e5%85%a5%e9%97%a8-ai-%e7%bb%98%e7%94%bb%ef%bc%9a%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97%e3%80%8c%e4%b8%80%e9%94%ae%e5%8d%b3%e7%8e%a9%e3%80%8dgpu-%e7%a7%9f%e8%b5%81%e6%8a%8a-mi","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2755","title":{"rendered":"\u96f6\u57fa\u7840\u5165\u95e8 AI \u7ed8\u753b\uff1a\u661f\u5b87\u667a\u7b97\u300c\u4e00\u952e\u5373\u73a9\u300dGPU \u79df\u8d41\u628a Midjourney \u66ff\u4ee3\u65b9\u6848\u6210\u672c\u6253\u5230 0.2 \u5143\/\u5f20"},"content":{"rendered":"
\"\u96f6\u57fa\u7840\u5165\u95e8<\/figure>\n

\u96f6\u57fa\u7840\u5165\u95e8 AI \u7ed8\u753b\uff1a\u661f\u5b87\u667a\u7b97\u300c\u4e00\u952e\u5373\u73a9\u300dGPU \u79df\u8d41\u628a Midjourney \u66ff\u4ee3\u65b9\u6848\u6210\u672c\u6253\u5230 0.2 \u5143\/\u5f20<\/strong><\/p>\n

\n
\n

\u201cMidjourney \u4e2a\u4eba\u7248\u6da8\u81f3 60 \u7f8e\u5143\/\u6708\uff0c\u514d\u8d39\u989d\u5ea6\u53ea\u5269 25 \u5f20\uff0c\u518d\u6263\u4e00\u6b21\u753b\u8d28\u52a0\u901f\u8d39\uff0c\u94b1\u5305\u6bd4\u51fa\u56fe\u901f\u5ea6\u5148\u89c1\u5e95\u3002\u201d
\n\u8fd9\u4e0d\u662f\u6bb5\u5b50\uff0c\u800c\u662f\u4e0a\u5468\u5b98\u65b9\u516c\u544a\u540e\u7684\u771f\u5b9e\u7528\u6237\u5410\u69fd\u3002\u5f53 AI \u7ed8\u753b\u4ece\u73a9\u5177\u53d8\u6210\u751f\u4ea7\u529b\uff0c\u6210\u672c\u5374\u53cd\u5411\u98d9\u5347\uff0c\u4e2a\u4eba\u521b\u4f5c\u8005\u3001\u8bbe\u8ba1\u7cfb\u5b66\u751f\u3001\u8de8\u5883\u7535\u5546\u7f8e\u5de5\u53ea\u80fd\u88ab\u8feb\u201c\u65ad\u66f4\u201d\u3002\u6709\u6ca1\u6709\u4e00\u79cd\u65b9\u6848\uff0c\u65e2\u4fdd\u7559\u9ad8\u8d28\u91cf\u51fa\u56fe\uff0c\u53c8\u80fd\u628a\u5355\u4ef7\u538b\u5230\u201c\u77ff\u6cc9\u6c34\u7ea7\u201d\uff1f\u7b54\u6848\u85cf\u5728 GPU \u4e91\u4e3b\u673a \u7684\u6309\u5c0f\u65f6\u79df\u8d41\u91cc\u2014\u2014\u661f\u5b87\u667a\u7b97\u628a 4090 \u4e91\u7aef\u663e\u5361\u3001\u5f00\u6e90\u6a21\u578b Fooocus \u505a\u6210\u5f00\u7bb1\u5373\u7528\u7684\u300cAI\u5e94\u7528\u300d\u955c\u50cf\uff0c1024\u00d71024 \u7cbe\u5ea6\u7684\u56fe\u6700\u4f4e 0.2 \u5143\/\u5f20\uff0c1 \u5c0f\u65f6\u53ef\u8dd1 200 \u5f20\uff0c\u6210\u672c\u53ea\u6709 Midjourney \u7684 1\/300\u3002<\/p>\n<\/blockquote>\n

\n

\u6da8\u4ef7\u6f6e\u80cc\u540e\uff1aAI \u7ed8\u753b\u7684\u201c\u9690\u5f62\u95e8\u69db\u201d\u88ab\u4f4e\u4f30\u4e86<\/h3>\n

Midjourney \u4e0d\u662f\u7b2c\u4e00\u5bb6\u6da8\u4ef7\u7684 AIGC \u5de5\u5177\u3002Stable Diffusion \u751f\u6001\u7684\u7b97\u529b\u5f00\u9500\u3001\u63d2\u4ef6\u8c03\u8bd5\u3001\u9a71\u52a8\u7248\u672c\u51b2\u7a81\uff0c\u540c\u6837\u8ba9\u201c\u514d\u8d39\u5f00\u6e90\u201d\u56db\u4e2a\u5b57\u53d8\u5f97\u6602\u8d35\u2014\u2014\u672c\u5730 6G \u663e\u5b58\u5361\u8fde 512 \u5206\u8fa8\u7387\u90fd\u5bb9\u6613 OOM\uff0c\u5347\u7ea7 4090 \u8981 1.3 \u4e07\u5143\uff0c\u8fd8\u8981\u914d 750W \u7535\u6e90\u3001\u673a\u7bb1\u98ce\u9053\u3001Ubuntu \u9a71\u52a8\uff0c\u6ca1\u7b49\u51fa\u56fe\uff0c\u524d\u671f\u6295\u5165\u5df2\u7ecf\u7a81\u7834\u4e94\u4f4d\u6570\u3002
\n\u5bf9\u201c\u53ea\u60f3\u628a\u7075\u611f\u9a6c\u4e0a\u53d8\u6210\u56fe\u201d\u7684\u96f6\u57fa\u7840\u7528\u6237\u6765\u8bf4\uff0c\u771f\u6b63\u7684\u95e8\u69db\u4e0d\u662f\u8f6f\u4ef6\u4e0d\u4f1a\u7528\uff0c\u800c\u662f\u201c\u6ca1\u5361\u3001\u6ca1\u73af\u5883\u3001\u6ca1\u6559\u7a0b\u201d\u3002\u661f\u5b87\u667a\u7b97\u628a\u8fd9\u4e09\u4ef6\u4e8b\u6253\u5305\u6210\u4e00\u7ad9\u5f0f GPU\u670d\u52a1\u5668\u79df\u7528<\/a> \u65b9\u6848\uff1a\u6253\u5f00\u6d4f\u89c8\u5668\u2192\u9009\u62e9\u300cFooocus \u6781\u901f\u7248\u300d\u955c\u50cf\u2192\u70b9\u51fb\u542f\u52a8\uff0c3 \u5206\u949f\u540e\u6d4f\u89c8\u5668\u6807\u7b7e\u9875\u91cc\u5c31\u51fa\u73b0\u719f\u6089\u7684 WebUI\uff0c\u63d0\u793a\u8bcd\u6846\u3001\u98ce\u683c\u6a21\u677f\u3001\u9ad8\u6e05\u4fee\u590d\u6309\u94ae\u4e00\u4e2a\u4e0d\u5c11\uff0c\u5374\u4e0d\u7528\u5b89\u88c5 CUDA\u3001\u4e0d\u7528\u914d\u4f9d\u8d56\u3001\u4e0d\u7528\u4e70\u663e\u5361\u3002<\/p>\n

\n

\u628a 4090 \u62c6\u6210\u5c0f\u65f6\u5356\uff1a\u661f\u5b87\u667a\u7b97\u7684\u201c\u6309\u5f20\u8ba1\u8d39\u201d\u903b\u8f91<\/h3>\n

\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u9ed8\u8ba4\u63d0\u4f9b\u4e24\u79cd\u8ba1\u8d39\u6a21\u5f0f\uff1a
\n1. \u6309\u91cf\u4ed8\u8d39\uff1a4090 \u4e91\u4e3b\u673a 1.9 \u5143\/\u5c0f\u65f6\uff0c\u5f00\u673a\u624d\u8ba1\u8d39\uff0c\u5173\u673a\u5373\u523b\u505c\u8d39\uff1b
\n2. \u5305\u65e5\/\u5305\u5468\uff1a\u957f\u8bad\u6a21\u578b\u3001\u51fa\u56fe\u9a6c\u62c9\u677e\u53ef\u518d\u964d 30%\u3002 <\/p>\n

\u4ee5 Fooocus \u5b9e\u6d4b\u4e3a\u4f8b\uff0cFP16 \u7cbe\u5ea6\u30011024\u00d71024 \u5c3a\u5bf8\u300130 \u91c7\u6837\u6b65\u6570\uff0c\u5355\u5f20\u51fa\u56fe\u8017\u65f6 12 \u79d2\uff1b\u4e00\u5c0f\u65f6\u53ef\u8fde\u7eed\u8dd1 200 \u5f20\uff0c\u6298\u5408 1.9\u00f7200\u22480.0095 \u5143\/\u5f20\u3002\u8003\u8651\u5230\u542f\u52a8\u3001\u6362\u98ce\u683c\u3001\u8c03\u63d0\u793a\u8bcd\u7684\u788e\u7247\u65f6\u95f4\uff0c\u4fdd\u5b88\u4f30\u7b97 0.2 \u5143\/\u5f20\uff0c\u4ecd\u53ea\u6709 Midjourney \u6807\u51c6\u4f1a\u5458 0.6 \u7f8e\u5143\/\u5f20\u7684 1\/200\u3002
\n\u66f4\u5173\u952e\u7684\u662f\u201c\u7528\u591a\u5c11\u4ed8\u591a\u5c11\u201d\u2014\u2014\u5b66\u751f\u505a\u6bd5\u4e1a\u8bbe\u8ba1\uff0c\u5f00\u673a 2 \u5c0f\u65f6\u5b8c\u6210 400 \u5f20\u7d20\u6750\uff0c\u603b\u82b1\u8d39 3.8 \u5143\uff1b\u7f8e\u5de5\u8d76\u53cc\u5341\u4e00\u6d77\u62a5\uff0c\u5468\u672b\u5305\u65e5 38 \u5143\u5c31\u80fd\u628a 4090 \u72ec\u5360 24 \u5c0f\u65f6\uff0c\u51fa\u56fe 4000 \u5f20\uff0c\u5e73\u5747\u6bcf\u5f20\u6210\u672c 0.01 \u5143\uff0c\u771f\u6b63\u505a\u5230\u201cGPU \u4e91\u4e3b\u673a \u50cf\u5171\u4eab\u5355\u8f66\u4e00\u6837\u968f\u501f\u968f\u8fd8\u201d\u3002<\/p>\n

\n

\u4e00\u952e\u5373\u73a9\uff1a\u4ece\u6ce8\u518c\u5230\u51fa\u56fe\u53ea\u8981 180 \u79d2<\/h3>\n
    \n
  1. \u6ce8\u518c\uff1a\u65b0\u7528\u6237\u624b\u673a\u53f7\u5373\u9001 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u53ef\u62b5 5 \u5c0f\u65f6 4090 \u65f6\u957f\uff1b <\/li>\n
  2. \u521b\u5efa\u5b9e\u4f8b\uff1a\u63a7\u5236\u53f0\u70b9\u51fb\u300cAI\u5e94\u7528\u300d\u2192\u9009\u62e9 Fooocus \u955c\u50cf\u2192GPU \u578b\u53f7\u9009 RTX 4090\u2192\u786e\u8ba4\u652f\u4ed8\uff0c\u7cfb\u7edf\u81ea\u52a8\u62c9\u53d6\u955c\u50cf\u3001\u5206\u914d\u663e\u5361\u3001\u6620\u5c04 7860 \u7aef\u53e3\uff1b <\/li>\n
  3. \u8fde\u63a5\u5b9e\u4f8b\uff1a\u6d4f\u89c8\u5668\u76f4\u63a5\u6253\u5f00 https:\/\/{\u5b9e\u4f8bIP}:7860<\/code>\uff0c\u65e0\u9700 SSH\u3001\u65e0\u9700\u547d\u4ee4\u884c\uff1b <\/li>\n
  4. \u5f00\u59cb\u521b\u4f5c\uff1a\u8f93\u5165\u63d0\u793a\u8bcd\u201ca cute robotic cat, studio ghibli style\u201d\uff0c30 \u79d2\u540e\u53f3\u4fa7\u51fa\u73b0 4 \u5f20 2K \u7cbe\u5ea6\u7684\u521d\u7a3f\uff0c\u70b9\u51fb Upscale \u5373\u53ef\u76f4\u51fa 4K \u8d85\u6e05\uff1b <\/li>\n
  5. \u5173\u673a\u505c\u8d39\uff1a\u4f5c\u56fe\u5b8c\u6bd5\u56de\u5230\u63a7\u5236\u53f0\u70b9\u51fb\u300c\u505c\u6b62\u300d\uff0c\u5b9e\u4f8b\u7acb\u5373\u91ca\u653e\uff0c\u8ba1\u8d39\u7ed3\u675f\u3002 <\/li>\n<\/ol>\n

    \u5168\u7a0b 0 \u4ee3\u7801\u30010 \u914d\u7f6e\uff0c\u652f\u6301 VNC \u8fdc\u7a0b\u684c\u9762\u3001JupyterLab \u591a\u7a97\u53e3\u3001RDP Windows \u56fe\u5f62\u754c\u9762\u7b49\u591a\u79cd\u8fde\u63a5\u65b9\u5f0f\uff0c\u6ee1\u8db3\u4e0d\u540c\u4e60\u60ef\u7684\u7528\u6237\u3002\u5982\u679c\u672c\u5730\u5df2\u6709 Stable Diffusion \u63d2\u4ef6\u60f3\u8fc1\u79fb\uff0c\u5e73\u53f0\u4e5f\u63d0\u4f9b SSH \u5b8c\u6574 root \u6743\u9650\uff0c\u53ef\u81ea\u7531\u5b89\u88c5\u6269\u5c55\u3001\u6302\u8f7d Google Drive \u7ea7\u522b\u7684\u9ad8\u901f\u4e91\u76d8\uff0c\u5b9e\u73b0\u8de8\u5b9e\u4f8b\u5171\u4eab\u6a21\u578b\u3002<\/p>\n

    \n

    \u751f\u6001\u52a0\u6301\uff1a\u4e0d\u6b62\u7ed8\u753b\uff0c\u66f4\u662f AI \u5e94\u7528\u7684\u201cApp Store\u201d<\/h3>\n

    \u661f\u5b87\u667a\u7b97\u628a\u5e38\u7528\u5f00\u6e90\u6a21\u578b\u505a\u6210\u6807\u51c6\u5316\u955c\u50cf\uff1a
    \n– \u7ed8\u753b\u7c7b\uff1aFooocus\u3001Stable Diffusion XL\u3001ComfyUI\u3001InvokeAI\uff1b
    \n– \u8bed\u97f3\u7c7b\uff1aBark\u3001VALL-E-X\uff1b
    \n– \u5927\u6a21\u578b\u7c7b\uff1aChatGLM3-6B\u3001Llama-2-70B\u3001CodeLlama\uff1b
    \n– \u89c6\u9891\u7c7b\uff1aText2Video-Zero\u3001AnimateDiff\u3002 <\/p>\n

    \u6240\u6709\u955c\u50cf\u9884\u88c5 CUDA 11.8\u3001PyTorch 2.0\u3001xFormers\u3001TensorRT \u52a0\u901f\u6846\u67b6\uff0c\u5f00\u673a\u5373\u53ef\u8bad\u7ec3\u6216\u63a8\u7406\u3002\u6570\u636e\u5c42\u9762\uff0c\u5e73\u53f0\u5185\u7f6e 3TB \u516c\u5171\u6570\u636e\u96c6\uff0c\u5305\u542b LAION-5B \u8fc7\u6ee4\u5b50\u96c6\u3001\u52a8\u6f2b\u98ce\u683c\u6807\u6ce8\u3001\u7535\u5546\u670d\u88c5\u6a21\u677f\uff0c\u53ef\u76f4\u63a5\u6302\u8f7d\u5230 \/datasets<\/code> \u76ee\u5f55\uff0c\u7701\u53bb\u4e0b\u8f7d\u3001\u89e3\u538b\u3001\u683c\u5f0f\u8f6c\u6362 6 \u5c0f\u65f6\u7684\u7b49\u5f85\u3002
    \n\u914d\u5408\u201c\u65e0 GPU \u542f\u52a8\u201d\u6280\u5de7\uff0c\u7528\u6237\u53ef\u5148\u4ee5 0.1 \u5143\/\u5c0f\u65f6\u5b8c\u6210\u73af\u5883\u8c03\u8bd5\uff0c\u518d\u4e00\u952e\u5207\u6362\u6210 4090 \u6ee1\u8840\u6a21\u5f0f\uff0c\u8bad\u7ec3\u6210\u672c\u518d\u964d 50%\u3002\u65e0\u8bba\u662f\u9ad8\u6821\u56e2\u961f\u8dd1\u8bba\u6587\u590d\u73b0\uff0c\u8fd8\u662f\u521d\u521b\u516c\u53f8\u505a LoRA \u5fae\u8c03\uff0c\u90fd\u80fd\u5728\u661f\u5b87\u667a\u7b97\u627e\u5230\u8d34\u5408\u7684     AI\u5e94\u7528<\/a> \u65b9\u6848\u3002<\/p>\n

    \n

    \u771f\u5b9e\u6848\u4f8b\uff1a\u8de8\u5883\u7535\u5546\u7f8e\u5de5\u5c0f\u56e2\u961f\u7684\u201c\u964d\u672c\u65e5\u8bb0\u201d<\/h3>\n
    \n

    \u201c\u4ee5\u524d\u7528\u56fd\u9645\u7248 MJ\uff0c\u5341\u6b3e SKU \u5c31\u8981 200 \u5f20\u56fe\uff0c\u6708\u4f1a\u5458 60 \u7f8e\u5143\uff0c\u4e00\u5e74 720 \u7f8e\u5143\uff0c\u6c47\u7387\u4e00\u6da8\u7b49\u4e8e\u767d\u4e22\u4e00\u5f20 4090\u3002\u73b0\u5728\u6211\u4eec\u628a\u63d0\u793a\u8bcd\u6574\u7406\u6210 Excel\uff0c\u5468\u4e94\u665a\u4e0a\u5305\u591c\u5f00 4090 \u4e91\u4e3b\u673a\uff0c38 \u5143\u8dd1 4000 \u5f20\u56fe\uff0c\u8db3\u591f\u4e24\u5468\u7528\u3002\u7701\u4e0b\u7684\u9884\u7b97\u76f4\u63a5\u7ed9\u8bbe\u8ba1\u5e08\u53d1\u5956\u91d1\u3002\u201d
    \n\u2014\u2014\u6df1\u5733\u5357\u5c71\u67d0\u4e9a\u9a6c\u900a\u5356\u5bb6 \u8bbe\u8ba1\u4e3b\u7ba1 Leo<\/p>\n<\/blockquote>\n

    \n

    \u7acb\u5373\u4f53\u9a8c\uff1a10 \u5143\u767d\u5ad6 4090\uff0c\u51fa\u56fe\u81ea\u7531\u4ece\u8fd9\u91cc\u5f00\u59cb<\/h3>\n

    AI \u7ed8\u753b\u7684\u201c\u5e73\u6c11\u65f6\u4ee3\u201d\u4e0d\u662f\u53e3\u53f7\uff0c\u800c\u662f\u628a\u663e\u5361\u62c6\u6210\u5c0f\u65f6\u3001\u628a\u6a21\u578b\u505a\u6210\u955c\u50cf\u3001\u628a\u73af\u5883\u505a\u5230\u96f6\u914d\u7f6e\u3002\u73b0\u5728\u6ce8\u518c \u661f\u5b87\u667a\u7b97<\/a>\uff0c\u65b0\u7528\u6237\u7acb\u5f97 10 \u5143\u4f53\u9a8c\u91d1\uff0c0 \u95e8\u69db\u5f00\u673a 4090\uff0c\u8dd1 Fooocus \u51fa 50 \u5f20 2K \u56fe\u518d\u5173\u673a\uff0c\u5168\u7a0b\u4e0d\u82b1\u4e00\u5206\u94b1\u3002
    \n\u522b\u518d\u88ab 60 \u7f8e\u5143\/\u6708\u7684\u8ba2\u9605\u8d39\u7ed1\u67b6\uff0c\u4e5f\u522b\u4e3a\u663e\u5361\u6ea2\u4ef7\u548c\u9a71\u52a8\u62a5\u9519\u6389\u5934\u53d1\u3002\u6253\u5f00\u6d4f\u89c8\u5668\uff0c\u641c\u7d22\u201cGPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u201d\uff0c\u9009\u62e9\u661f\u5b87\u667a\u7b97\uff0c\u8ba9\u6bcf\u4e00\u5f20\u7075\u611f\u90fd 0.2 \u5143\u5373\u523b\u843d\u5730\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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