{"id":35325,"date":"2024-12-23T04:59:56","date_gmt":"2024-12-22T20:59:56","guid":{"rendered":"https:\/\/17aitech.com\/?p=35325"},"modified":"2024-12-23T04:59:56","modified_gmt":"2024-12-22T20:59:56","slug":"%e8%a7%86%e9%a2%91%e7%94%9f%e6%88%90%e6%8e%a7%e5%88%b6%e6%8f%90%e5%8d%87%e5%87%a0%e5%8d%81%e5%80%8d%ef%bc%8c%e6%96%b0%e4%b8%80%e4%bb%a3%e8%bd%bb%e9%87%8f%e7%ba%a7controlnext%e7%81%ab%e4%ba%86%ef%bc%8c","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=35325","title":{"rendered":"\u89c6\u9891\u751f\u6210\u63a7\u5236\u63d0\u5347\u51e0\u5341\u500d\uff0c\u65b0\u4e00\u4ee3\u8f7b\u91cf\u7ea7ControlNeXt\u706b\u4e86\uff0c\u8d3e\u4f73\u4e9a\u56e2\u961f\u6b63\u6311\u6218Scaling Law"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u89c6\u9891\u751f\u6210\u63a7\u5236\u63d0\u5347\u51e0\u5341\u500d\uff0c\u65b0\u4e00\u4ee3\u8f7b\u91cf\u7ea7ControlNeXt\u706b\u4e86\uff0c\u8d3e\u4f73\u4e9a\u56e2\u961f\u6b63\u6311\u6218Scaling Law<\/a><\/p>\n

\u6700\u8fd1\uff0c\u53c8\u4e00\u6b3e\u56fd\u4ea7 AI \u795e\u5668\u5438\u5f15\u4e86\u4f17\u7f51\u53cb\u548c\u5708\u5185\u7814\u7a76\u4eba\u5458\u7684\u5173\u6ce8\uff01\u5b83\u5c31\u662f\u5168\u65b0\u7684\u56fe\u50cf\u548c\u89c6\u9891\u751f\u6210<\/mark>\u63a7\u5236\u5de5\u5177 \u2014\u2014 ControlNeXt<\/strong>\uff0c\u7531\u601d\u8c0b\u79d1\u6280\u521b\u59cb\u4eba\u3001\u6e2f\u79d1\u5927<\/mark>\u8bb2\u5ea7\u6559\u6388\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u5f00\u53d1\u3002<\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 X \u5e73\u53f0\u4e0a\u77e5\u540d AI \u535a\u4e3b\u300cAK\u300d\u63a8\u8350<\/sup><\/em><\/section>\n
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\u4ece\u547d\u540d\u6765\u770b\uff0cControlNeXt \u300c\u81f4\u656c\u300d\u4e86\u65af\u5766\u798f\u5927\u5b66\u7814\u7a76\u56e2\u961f\u5728 2023 \u5e74 2 \u6708\u63d0\u51fa\u7684 ControlNet\uff0c\u901a\u8fc7\u5f15\u5165\u4e00\u4e9b\u989d\u5916\u7684\u63a7\u5236\u4fe1\u53f7\uff0c\u8ba9\u9884\u8bad\u7ec3\u7684\u56fe\u50cf\u6269\u6563\u6a21\u578b\uff08\u5982 Stable Diffusion\uff09\u6839\u636e\u9884\u8bbe\u7684\u6761\u4ef6\u8c03\u6574\u548c\u4f18\u5316\uff0c\u5b9e\u73b0\u7ebf\u7a3f\u751f\u6210\u5168\u5f69\u56fe\uff0c\u8fd8\u80fd\u505a\u8bed\u4e49\u5206\u5272<\/mark>\u3001\u8fb9\u7f18\u68c0\u6d4b<\/mark>\u3001\u4eba\u4f53\u59ff\u52bf\u8bc6\u522b\u3002<\/section>\n
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\u5982\u679c\u8bf4 ControlNet \u5f00\u542f\u4e86\u5927\u6a21\u578b\u591a\u6837\u5316\u73a9\u6cd5\u7684\u5148\u6cb3\uff0c\u90a3\u4e48 ControlNeXt \u5728\u751f\u6210\u901f\u5ea6\u3001\u7cbe\u51c6\u63a7\u5236\u548c\u7528\u6237\u53cb\u597d\u6027\u7b49\u65b9\u9762\u8fce\u6765\u5168\u65b9\u4f4d\u4f18\u5316\u3002\u91cd\u8981\u7684\u662f\uff0cControlNeXt \u53ea\u7528\u4e0d\u5230 ControlNet 10% \u7684\u8bad\u7ec3\u53c2\u6570<\/mark><\/strong>\uff0c\u53ef\u4ee5\u79f0\u5f97\u4e0a\u662f\u4e0b\u4e00\u4ee3\u300c\u5c0f\u94a2\u70ae\u7248\u300dControlNet \u4e86\u3002<\/section>\n
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\u622a\u81f3\u76ee\u524d\uff0cControlNeXt \u517c\u5bb9\u4e86\u591a\u6b3e Stable Diffusion \u5bb6\u65cf\u56fe\u50cf\u751f\u6210<\/mark>\u6a21\u578b\uff08\u5305\u62ec SD1.5\u3001SDXL\u3001SD3\uff09\uff0c\u4ee5\u53ca\u89c6\u9891\u751f\u6210<\/mark>\u6a21\u578b SVD\u3002\u5e76\u4e14\uff0cControlNeXt \u5bf9\u8fd9\u4e9b\u6a21\u578b\u90fd\u505a\u5230\u5373\u63d2\u5373\u7528\uff0c\u65e0\u9700\u989d\u5916\u914d\u7f6e\u4fbf\u80fd\u8f7b\u677e\u73a9\u8f6c\u5404\u79cd\u63a7\u5236\u6307\u4ee4\uff0c\u4fbf\u6377\u6027\u62c9\u6ee1\u3002\u8be5\u9879\u76ee\u7684 GitHub \u661f\u6807\u5df2\u8fbe 1.1k\u3002<\/section>\n

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\u9879\u76ee\u5730\u5740\uff1ahttps:\/\/github.com\/dvlab-research\/ControlNeXt<\/section>\n
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\u5b9e\u6218\u6548\u679c\u7a76\u7adf\u5982\u4f55\uff1f\u4e0b\u9762\u4e00\u6ce2 ControlNeXt \u7684 Demo \u793a\u4f8b\u4f1a\u7ed9\u6211\u4eec\u7b54\u6848\u3002<\/section>\n
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ControlNeXt \u652f\u6301 Canny\uff08\u8fb9\u7f18\uff09\u6761\u4ef6\u63a7\u5236\uff0c\u5728 SDXL \u4e2d\uff0c\u901a\u8fc7\u63d0\u53d6\u4e0b\u56fe\uff08\u6700\u5de6\uff09\u8f93\u5165\u56fe\u50cf\u7684 Canny \u8fb9\u7f18\uff0c\u8f93\u51fa\u4e0d\u540c\u98ce\u683c\u7684\u56fe\u50cf\u3002<\/section>\n

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\u5f53\u7136\uff0c\u66f4\u590d\u6742\u7684\u753b\u9762\u8f6e\u5ed3\u548c\u63a7\u5236\u7ebf\u6761\u4e5f\u80fd\u8f7b\u677e\u641e\u5b9a\u3002<\/section>\n

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ControlNeXt \u8fd8\u652f\u6301\u63a9\u6a21\uff08mask\uff09\u548c\u666f\u6df1\uff08depth\uff09\u6761\u4ef6\u63a7\u5236\uff0c\u4e0b\u56fe\u5206\u522b\u4e3a SD 1.5 \u4e2d\u63a9\u6a21\u4e0e\u666f\u6df1\u53ef\u63a7\u751f\u6210\u6548\u679c\uff0c\u5f88\u6709\u4e00\u7b14\u6210\u753b\u7684\u5473\u9053\u3002<\/section>\n

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\u540c\u6837\u5728 SD 1.5 \u4e2d\uff0cControlNeXt \u652f\u6301\u59ff\u52bf\uff08pose\uff09\u6761\u4ef6\u63a7\u5236\uff0c\u5e76\u4e14\u65e0\u9700\u8bad\u7ec3\u5373\u53ef\u65e0\u7f1d\u96c6\u6210\u5404\u79cd LoRA \u6743\u91cd<\/mark>\u3002\u914d\u5408\u4f7f\u7528\u4eba\u4f53\u59ff\u52bf\u63a7\u5236\u4e0e LoRA\uff0c\u5728\u4fdd\u6301\u52a8\u4f5c\u76f8\u540c\u7684\u524d\u63d0\u4e0b\uff0c\u591a\u6837\u98ce\u683c\u7684\u4eba\u7269\u547c\u4e4b\u6b32\u51fa\uff0c\u6bd4\u5982\u6218\u58eb\uff08Warrior\uff09\u3001\u539f\u795e\uff08Genshin\uff09\u3001\u56fd\u753b\uff08Chinese Painting\uff09\u548c\u52a8\u753b\uff08Animation\uff09\u3002<\/section>\n

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\u4f7f\u7528 ControlNeXt \u540e\uff0cSD3 \u652f\u6301\u4e86\u8d85\u5206\u8fa8\u7387\uff08SR\uff09\uff0c\u8ba9\u6a21\u7cca\u56fe\u50cf\u300c\u53d8\u8eab\u300d\u8d85\u9ad8\u6e05\u753b\u8d28\u3002<\/section>\n

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\u5728\u89c6\u9891\u751f\u6210<\/mark>\u6a21\u578b SVD \u4e2d\uff0cControlNeXt \u5b9e\u73b0\u4e86\u5bf9\u4eba\u4f53\u59ff\u52bf\u52a8\u4f5c\u7684\u6574\u4f53\u63a7\u5236\uff0c\u5c24\u5176\u8fde\u624b\u6307\u52a8\u4f5c\u7684\u6a21\u4eff\u90fd\u975e\u5e38\u7cbe\u51c6\u3002<\/section>\n

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\u4e0d\u5938\u5f20\u7684\u8bf4\uff0c\u5728\u89c6\u89c9\u6761\u4ef6\u751f\u6210\u8fd9\u5757\uff0cControlNeXt \u6210\u4e3a\u4e86\u66f4\u5168\u80fd\u7684\u300c\u9009\u624b\u300d\u3002\u5b83\u7684\u4eae\u773c\u89c6\u6548\u6298\u670d\u4e86\u7f51\u53cb\uff0c\u751a\u81f3\u6709\u4eba\u8ba4\u4e3a\u300cControlNeXt \u662f\u6e38\u620f\u6539\u53d8\u8005\uff0c\u5728\u53ef\u63a7\u56fe\u50cf\u548c\u89c6\u9891\u751f\u6210<\/mark>\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0c\u53ef\u4ee5\u60f3\u8c61\u672a\u6765\u793e\u533a\u4f1a\u62ff\u5b83\u505a\u66f4\u591a\u4e8c\u521b\u5de5\u4f5c\u3002\u300d<\/section>\n

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\u800c ControlNeXt \u4f53\u9a8c\u5168\u65b9\u4f4d\u63d0\u5347\u7684\u80cc\u540e\uff0c\u79bb\u4e0d\u5f00\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u5728\u8f7b\u91cf\u7ea7\u6761\u4ef6\u63a7\u5236\u6a21\u5757\u8bbe\u8ba1\u3001\u63a7\u5236\u6ce8\u5165\u4f4d\u7f6e\u548c\u65b9\u5f0f\u7684\u9009\u62e9\u3001\u4ea4\u53c9\u5f52\u4e00\u5316\u6280\u672f\u7684\u4f7f\u7528\u7b49\u591a\u4e2a\u65b9\u9762\u7684\u72ec\u5230\u601d\u8def<\/strong>\u3002<\/section>\n
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\u6b63\u662f\u6709\u4e86\u8fd9\u4e9b\u521b\u65b0\uff0c\u624d\u5e26\u6765\u4e86 ControlNeXt \u8bad\u7ec3\u53c2\u6570<\/mark>\u3001\u8ba1\u7b97\u5f00\u9500\u548c\u5185\u5b58\u5360\u7528\u7684\u5168\u9762\u300c\u7626\u8eab\u300d\uff0c\u4ee5\u53ca\u6a21\u578b\u8bad\u7ec3\u6536\u655b<\/mark>\u548c\u63a8\u7406\u5c42\u9762\u7684\u300c\u63d0\u901f\u300d\u3002<\/section>\n
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\u67b6\u6784\u521b\u65b0<\/strong><\/section>\n
\u8ba9 ControlNeXt \u66f4\u8f7b\u3001\u66f4\u5feb\u3001\u66f4\u5f3a<\/strong><\/section>\n
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\u5728\u5256\u6790 ControlNeXt \u6709\u54ea\u4e9b\u521b\u65b0\u4e4b\u524d\uff0c\u6211\u4eec\u5148\u6765\u4e86\u89e3\u4e00\u4e0b\u5f53\u524d\u53ef\u63a7\u751f\u6210\u65b9\u6cd5\u7684\u4e0d\u8db3\uff0c\u8fd9\u6837\u66f4\u80fd\u770b\u5230\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u5728\u67b6\u6784\u4e0a\u300c\u6709\u7684\u653e\u77e2\u300d\u7684\u4f18\u5316\u3002<\/section>\n
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\u4ee5 ControlNet\u3001T2I-Adapter \u7b49\u5178\u578b\u65b9\u6cd5\u4e3a\u4f8b\uff0c\u5b83\u4eec\u901a\u8fc7\u6dfb\u52a0\u5e76\u884c\u5206\u652f\u6216\u9002\u914d\u5668\u6765\u5904\u7406\u548c\u6ce8\u5165\u989d\u5916\u6761\u4ef6\u3002\u63a5\u4e0b\u6765\u4e0e\u53bb\u566a\u4e3b\u5206\u652f\u5e76\u884c\u5904\u7406\u8f85\u52a9\u63a7\u5236\u4ee5\u63d0\u53d6\u7ec6\u7c92\u5ea6\u7279\u5f81\uff0c\u5229\u7528\u96f6\u5377\u79ef\u548c\u4ea4\u53c9\u6ce8\u610f\u529b\u6765\u6574\u5408\u6761\u4ef6\u63a7\u5236\u5e76\u6307\u5bfc\u53bb\u566a\u8fc7\u7a0b\u3002<\/section>\n
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\u8fd9\u4e9b\u64cd\u4f5c\u5f80\u5f80\u4f1a\u5e26\u6765\u8ba1\u7b97\u6210\u672c\u548c\u8bad\u7ec3\u5f00\u9500\u7684\u663e\u8457\u589e\u52a0\uff0c\u751a\u81f3\u5bfc\u81f4 GPU \u5185\u5b58\u589e\u52a0\u4e00\u500d\uff0c\u8fd8\u9700\u8981\u5f15\u5165\u5927\u91cf\u65b0\u7684\u8bad\u7ec3\u53c2\u6570<\/mark>\u3002\u5c24\u5176\u9488\u5bf9\u89c6\u9891\u751f\u6210<\/mark>\u6a21\u578b\uff0c\u9700\u8981\u91cd\u590d\u5904\u7406\u6bcf\u4e2a\u5355\u72ec\u5e27\uff0c\u6311\u6218\u66f4\u5927\u3002<\/section>\n
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\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u9996\u5148\u8981\u505a\u7684\u4fbf\u662f\u67b6\u6784\u5c42\u9762\u7684\u526a\u679d<\/mark>\u3002\u4ed6\u4eec\u8ba4\u4e3a\uff0c\u9884\u8bad\u7ec3\u7684\u5927\u578b\u751f\u6210\u6a21\u578b<\/mark>\u5df2\u7ecf\u8db3\u591f\u5f3a\u5927\uff0c\u65e0\u9700\u5f15\u5165\u5927\u91cf\u989d\u5916\u53c2\u6570<\/mark>\u6765\u5b9e\u73b0\u63a7\u5236\u751f\u6210\u80fd\u529b\u3002ControlNeXt \u79fb\u9664 ControlNet \u4e2d\u5e9e\u5927\u7684\u63a7\u5236\u5206\u652f\uff08control branch\uff09\uff0c\u6539\u800c\u4f7f\u7528\u7531\u591a\u4e2a\u00a0ResNet\u00a0\u5757\u7ec4\u6210\u7684\u8f7b\u91cf\u7ea7\u5377\u79ef\u6a21\u5757<\/strong>\u3002<\/section>\n

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\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 ControlNeXt \u6574\u4f53\u8bad\u7ec3\u6d41\u7a0b<\/sup><\/em><\/section>\n
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\u8be5\u6a21\u5757\u7684\u89c4\u6a21\u6bd4\u9884\u8bad\u7ec3\u6a21\u578b\u5c0f\u5f97\u591a\uff0c\u7528\u4e8e\u4ece\u63a7\u5236\u6761\u4ef6\u4e2d\u63d0\u53d6\u666f\u6df1\u3001\u4eba\u4f53\u59ff\u52bf\u9aa8\u9abc\u3001\u8fb9\u7f18\u56fe\u7b49\u7279\u5f81\u8868\u793a\uff0c\u5e76\u4e0e\u53bb\u566a\u7279\u5f81\u5bf9\u9f50\u3002\u8fc7\u7a0b\u4e2d\u66f4\u591a\u4f9d\u8d56\u6a21\u578b\u672c\u8eab\u6765\u5904\u7406\u63a7\u5236\u4fe1\u53f7\uff0c\u5728\u8bad\u7ec3\u671f\u95f4\u51bb\u7ed3\u5927\u90e8\u5206\u9884\u8bad\u7ec3\u6a21\u5757\uff0c\u5e76\u6709\u9009\u62e9\u6027\u5730\u4f18\u5316\u6a21\u578b\u7684\u4e00\u5c0f\u90e8\u5206\u53ef\u5b66\u4e60\u53c2\u6570<\/mark>\uff0c\u6700\u5927\u7a0b\u5ea6\u964d\u4f4e\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u53ef\u80fd\u51fa\u73b0\u7684\u9057\u5fd8\u98ce\u9669\u3002<\/section>\n
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\u4ece\u7ed3\u679c\u6765\u770b\uff0c\u5728\u9002\u914d SD\u3001SDXL\u3001SVD \u7b49\u9884\u8bad\u7ec3\u6a21\u578b\u65f6\uff0cControlNeXt \u7684\u8bad\u7ec3\u53c2\u6570<\/mark>\u91cf\u901a\u5e38\u4e0d\u53ca ControlNet \u7684 10%\uff0c\u8ba1\u7b97\u5f00\u9500\u548c\u5185\u5b58\u5360\u7528\u5927\u5927\u964d\u4f4e<\/strong>\u3002ControlNeXt \u5728 SD 1.5\u3001SDXL \u548c SVD \u4e2d\u7684\u53ef\u5b66\u4e60\u53c2\u6570<\/mark>\u91cf\u5206\u522b\u4e3a 3000 \u4e07\u30011.08 \u4ebf\u548c 5500 \u4e07\uff0c\u76f8\u8f83\u4e8e ControlNet \u6709\u4e86\u6570\u91cf\u7ea7\u51cf\u5c11\uff083.61 \u4ebf\u300112.51 \u4ebf\u548c 6.82 \u4ebf\uff09\u3002<\/section>\n

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\u540c\u65f6\u8f7b\u91cf\u7ea7\u6a21\u5757\u7684\u5f15\u5165\u4f7f\u5f97 ControlNeXt \u5728\u63a8\u7406\u9636\u6bb5\u4e0d\u4f1a\u51fa\u73b0\u660e\u663e\u7684\u5ef6\u8fdf\uff0c\u56e0\u800c\u751f\u6210\u901f\u5ea6\u4f1a\u66f4\u5feb\u3002\u5982\u4e0b\u56fe\u6240\u793a\uff0c\u5728 SD 1.5\u3001SDXL \u548c SVD \u6a21\u578b\u4e2d\uff0cControlNeXt \u7684\u63a8\u7406\u65f6\u95f4\u66f4\u77ed\uff0c\u76f8\u8f83\u4e8e ControlNet \u66f4\u5177\u6548\u7387\u4f18\u52bf\u3002<\/section>\n

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\u53e6\u4e00\u65b9\u9762\uff0cControlNeXt \u5728\u63a7\u5236\u6761\u4ef6\u7684\u6ce8\u5165\u5c42\u9762\u505a\u4e86\u521b\u65b0\u3002\u4ed6\u4eec\u89c2\u5bdf\u5230\uff0c\u5728\u5927\u591a\u6570\u53ef\u63a7\u751f\u6210\u4efb\u52a1\u4e2d\uff0c\u6761\u4ef6\u63a7\u5236\u7684\u5f62\u5f0f\u5f80\u5f80\u5f88\u7b80\u5355\u6216\u4e0e\u53bb\u566a\u7279\u5f81\u4fdd\u6301\u9ad8\u5ea6\u4e00\u81f4\uff0c\u56e0\u800c\u6ca1\u6709\u5fc5\u8981\u5728\u53bb\u566a\u7f51\u7edc\u7684\u6bcf\u4e00\u5c42\u91cd\u590d\u6ce8\u5165\u63a7\u5236\u4fe1\u606f\u3002<\/section>\n
<\/section>\n
\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u9009\u62e9\u5728\u7f51\u7edc\u4e2d\u95f4\u5c42\u805a\u5408\u5e76\u5bf9\u9f50\u6761\u4ef6\u63a7\u5236\u7279\u5f81\u4e0e\u53bb\u566a\u7279\u5f81\uff0c\u8fd9\u91cc\u7528\u5230\u4e86\u5173\u952e\u7684\u4ea4\u53c9\u5f52\u4e00\u5316\uff08Cross Normalization\uff09\u6280\u672f<\/strong>\u3002\u8be5\u6280\u672f\u8ba9 ControlNeXt \u4e0d\u7528\u50cf\u4f20\u7edf\u65b9\u6cd5\u90a3\u6837\u5229\u7528\u96f6\u521d\u59cb\u5316\u6765\u5f15\u5165\u989d\u5916\u5b66\u4e60\u53c2\u6570<\/mark>\uff0c\u8fd8\u89e3\u51b3\u4e86\u521d\u59cb\u5316\u9636\u6bb5\u7684\u8bad\u7ec3\u4e0d\u7a33\u5b9a\u6027\u548c\u6536\u655b<\/mark>\u901f\u5ea6\u6162\u7b49\u95ee\u9898\u3002<\/section>\n
<\/section>\n
\u5f97\u76ca\u4e8e\u4ea4\u53c9\u5f52\u4e00\u5316\uff0cControlNeXt \u7684\u8bad\u7ec3\u901f\u5ea6\u5f97\u5230\u63d0\u5347\uff0c\u5e76\u5728\u8bad\u7ec3\u521d\u671f\u4e5f\u80fd\u786e\u4fdd\u751f\u6210\u63a7\u5236\u7684\u6709\u6548\u6027\uff0c\u964d\u4f4e\u5bf9\u7f51\u7edc\u6743\u91cd<\/mark>\u521d\u59cb\u5316\u7684\u654f\u611f\u5ea6\u3002\u4ece\u4e0b\u56fe\u53ef\u4ee5\u770b\u5230\uff0cControlNeXt \u5b9e\u73b0\u4e86\u66f4\u5feb\u7684\u8bad\u7ec3\u6536\u655b<\/mark>\u548c\u6570\u636e\u62df\u5408\uff0c\u53ea\u9700\u8981 400 \u6b65\u5de6\u53f3\u4fbf\u5f00\u59cb\u6536\u655b<\/mark>\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cControlNet \u5219\u9700\u8981\u8d70\u5b8c\u5341\u500d\u751a\u81f3\u51e0\u5341\u500d\u7684\u8bad\u7ec3\u6b65\u6570\u3002<\/section>\n

<\/a><\/p>\n

\u53ef\u4ee5\u8bf4\uff0cControlNeXt \u5f88\u597d\u89e3\u51b3\u4e86\u4ee5\u5f80\u53ef\u63a7\u751f\u6210\u65b9\u6cd5\u5b58\u5728\u7684\u8f83\u9ad8\u8ba1\u7b97\u6210\u672c\u3001GPU \u5185\u5b58\u5360\u7528\u548c\u63a8\u7406\u65f6\u5ef6\uff0c\u7528\u66f4\u5c11\u53c2\u6570<\/mark>\u3001\u66f4\u4f4e\u6210\u672c\u5b9e\u73b0\u4e86\u4e0e\u4ee5\u5f80\u65b9\u6cd5\u76f8\u5f53\u751a\u81f3\u66f4\u597d\u7684\u63a7\u5236\u6548\u679c\u548c\u6cdb\u5316\u6027\u80fd\u3002<\/section>\n
<\/section>\n
\u800c\u8df3\u51fa\u6b64\u6b21\u7814\u7a76\u672c\u8eab\uff0cControlNeXt \u4e5f\u662f\u8fc7\u53bb\u4e24\u5e74\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u52aa\u529b\u65b9\u5411\u7684\u5199\u7167\uff0c\u4ed6\u4eec\u81f4\u529b\u4e8e\u62ff\u5c11\u53c2\u6570<\/mark>\u3001\u5c11\u7b97\u529b\u6765\u6df1\u6316\u5927\u6a21\u578b\u6f5c\u80fd\u3002\u8fd9\u663e\u7136\u4e0e\u5f53\u524d\u5927\u6a21\u578b\u9886\u57df\u7684\u300c\u6469\u5c14\u5b9a\u5f8b<\/mark>\u300dScaling Law \u8d70\u7684\u662f\u4e0d\u540c\u7684\u8def\uff0c\u540e\u8005\u901a\u5e38\u51ed\u501f\u5927\u53c2\u6570<\/mark>\u3001\u5927\u6570\u636e\u548c\u5927\u7b97\u529b\u6765\u63d0\u5347\u6a21\u578b\u6027\u80fd\u3002<\/section>\n
<\/section>\n
\u4e0d\u76f2\u8ddf Scaling Law<\/strong><\/section>\n
\u8d70\u51fa\u4e0d\u4e00\u6837\u7684\u5927\u6a21\u578b\u4e4b\u8def<\/strong><\/section>\n
<\/section>\n
\u5f53\u524d\uff0cScaling Law \u4ecd\u7136\u5728\u53d1\u6325\u7740\u4f5c\u7528\uff0c\u901a\u8fc7\u300c\u52a0\u7801\u300d\u53c2\u6570<\/mark>\u3001\u6570\u636e\u548c\u7b97\u529b\u6765\u589e\u6548\u662f\u5927\u591a\u6570\u5708\u5185\u73a9\u5bb6\u7684\u4e3b\u6d41\u505a\u6cd5\uff0cOpenAI \u7684 GPT \u7cfb\u5217\u6a21\u578b\u662f\u5176\u4e2d\u7684\u5178\u578b\u4ee3\u8868\uff0c\u5bf9\u5927\u6a21\u578b\u9886\u57df\u4ea7\u751f\u4e86\u6df1\u8fdc\u7684\u5f71\u54cd\u3002<\/section>\n
<\/section>\n
\u968f\u4e4b\u800c\u6765\u7684\u662f\u66f4\u9ad8\u7684\u8bad\u7ec3\u6210\u672c\u3001\u66f4\u591a\u7684\u6570\u636e\u548c\u8ba1\u7b97\u8d44\u6e90\uff0c\u8fd9\u4e9b\u4e0d\u4f1a\u5bf9\u8d22\u529b\u96c4\u539a\u7684\u5927\u5382\u4eec\u9020\u6210\u592a\u591a\u538b\u529b\u3002\u4f46\u5bf9\u90a3\u4e9b\u9884\u7b97\u76f8\u5bf9\u4e0d\u8db3\u7684\u79d1\u7814\u673a\u6784\u548c\u4e2a\u4eba\u5f00\u53d1\u8005\u800c\u8a00\uff0c\u6311\u6218\u5f88\u5927\uff0c\u5c24\u5176\u662f\u5f53\u4e0b GPU \u663e\u5361\u8fd8\u8d8a\u6765\u8d8a\u8d35\u3002<\/section>\n
<\/section>\n
\u5176\u5b9e\uff0c\u62fc Scaling Law \u5e76\u4e0d\u662f\u6a21\u578b\u63d0\u6548\u7684\u552f\u4e00\u9014\u5f84\uff0c\u4ece\u957f\u671f\u770b\u4e5f\u6709\u5c40\u9650\u6027\u3002\u5f88\u591a\u4e1a\u5185\u4eba\u58eb\u8ba4\u4e3a\uff0c\u968f\u7740\u65f6\u95f4\u63a8\u79fb\uff0c\u5f53\u6a21\u578b\u53c2\u6570<\/mark>\u89c4\u6a21\u8fbe\u5230\u4e00\u5b9a\u7a0b\u5ea6\u65f6\uff0c\u6027\u80fd\u63d0\u5347\u901f\u5ea6\u53ef\u80fd\u4f1a\u653e\u7f13\u3002\u540c\u65f6\u9ad8\u8d28\u91cf\u8bad\u7ec3\u6570\u636e\u7684\u6301\u7eed\u83b7\u53d6\u4e5f\u662f\u4e9f\u9700\u89e3\u51b3\u7684\u4e00\u5927\u96be\u9898\u3002<\/section>\n
<\/section>\n
\u4eca\u5e74 6 \u6708\uff0c\u666e\u6797\u65af\u987f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u6559\u6388 Arvind Narayanan \u7b49\u4e8c\u4eba\u5728\u4ed6\u4eec\u7684\u6587\u7ae0\u300aAI scaling myths\u300b\u4e2d\u8868\u793a AI \u884c\u4e1a\u6b63\u7ecf\u5386\u6a21\u578b\u89c4\u6a21\u4e0b\u884c\u7684\u538b\u529b\uff0c\u8fc7\u53bb\u4e00\u5e74\u5927\u90e8\u5206\u5f00\u53d1\u5de5\u4f5c\u843d\u5728\u4e86\u5c0f\u6a21\u578b\u4e0a\uff0c\u6bd4\u5982 Anthropic \u7684 Claude 3.5 Sonnet\u3001\u8c37\u6b4c\u7684 Gemini 1.5 Pro\uff0c\u751a\u81f3 OpenAI \u4e5f\u63a8\u51fa\u4e86 GPT-4o mini\uff0c\u53c2\u6570<\/mark>\u89c4\u6a21\u867d\u5c0f\u3001\u6027\u80fd\u540c\u6837\u5f3a\u5927\u4e14\u66f4\u4fbf\u5b9c\u3002<\/section>\n
<\/section>\n
\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u79c9\u6301\u7c7b\u4f3c\u7406\u5ff5\uff0c\u6ca1\u6709\u9009\u62e9\u65e0\u9650\u5806\u6570\u636e\u3001\u53c2\u6570<\/mark>\u548c\u7b97\u529b\u7684\u4f20\u7edf\u505a\u6cd5\u30022024 \u4e16\u754c\u673a\u5668\u4eba\u5927\u4f1a\u4e0a\uff0c\u8d3e\u4f73\u4e9a<\/mark>\u5728\u63a5\u53d7\u91c7\u8bbf\u65f6\u8c08\u5230\u4e86 Scaling Law\uff0c\u4ed6\u8868\u793a\u5728\u81ea\u5df1\u56e2\u961f\u7684\u7814\u7a76\u4e2d\u4e0d\u4f1a\u5bf9\u5b83\u8fdb\u884c\u660e\u786e\u7684\u5b9a\u4e49\uff0c\u4f7f\u7528 1 \u4e07\u5f20\u5361\u8bad\u7ec3\u51fa\u6765\u7684\u6a21\u578b\u6216\u7cfb\u7edf\u4e0d\u4e00\u5b9a\u5c31\u6bd4 5000 \u5f20\u5361\u8bad\u7ec3\u51fa\u7684\u66f4\u597d\u3002<\/section>\n
<\/section>\n
\u8d3e\u4f73\u4e9a<\/mark>\u8ba4\u4e3a\u5e94\u8be5\u66f4\u591a\u5730\u5728\u6a21\u578b\u7b97\u6cd5\u5c42\u9762\u8fdb\u884c\u521b\u65b0\uff0c\u5728\u5de5\u7a0b\u5c42\u9762\u6700\u5927\u7a0b\u5ea6\u5730\u63d0\u9ad8 GPU \u663e\u5361\u7684\u5229\u7528\u7387\u3001\u964d\u4f4e\u529f\u8017\uff0c\u529b\u6c42\u7528\u66f4\u5c11\u7684\u8ba1\u7b97\u91cf\u8fbe\u5230\u540c\u6837\u7684\u6548\u679c<\/strong>\u3002<\/section>\n
<\/section>\n
\u540c\u65f6\u5173\u6ce8\u504f\u5782\u7c7b\u7684\u884c\u4e1a\u548c\u573a\u666f\uff0c\u901a\u8fc7\u6301\u7eed\u7684\u6280\u672f\u8fed\u4ee3\uff0c\u628a\u7b97\u529b\u7b49\u8d44\u6e90\u6295\u5165\u96c6\u4e2d\u5728\u4e00\u70b9\uff0c\u5c06\u67d0\u4e2a\u9886\u57df\u7684\u6a21\u578b\u505a\u5f97\u66f4\u7cbe\u3001\u66f4\u4e13\uff0c\u800c\u4e0d\u50cf\u5176\u4ed6\u73a9\u5bb6\u90a3\u6837\u8017\u5de8\u8d44\u5f00\u53d1\u8d85\u5927\u89c4\u6a21\u901a\u7528\u5927\u6a21\u578b\u3002<\/section>\n
<\/section>\n
\u5c0f\u7b97\u529b\u4e5f\u80fd\u51fa\u5927\u6210\u679c<\/strong><\/section>\n
<\/section>\n
\u5305\u62ec ControlNeXt \u5728\u5185\uff0c\u4e0d\u76f2\u4ece Scaling Law \u7684\u601d\u8def\u5df2\u7ecf\u5728\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u8fc7\u53bb\u4e24\u5e74\u7684\u7cfb\u5217\u6210\u679c\u4e2d\u5f97\u5230\u4e86\u5145\u5206\u9a8c\u8bc1\uff0c\u8986\u76d6\u4e86\u591a\u6a21\u6001\u5927\u6a21\u578b\u3001\u8d85\u957f\u6587\u672c\u6269\u5c55\u6280\u672f\u548c\u89c6\u89c9\u8bed\u8a00\u6a21\u578b\u7b49\u591a\u4e2a\u7814\u7a76\u65b9\u5411\u3002<\/section>\n
<\/section>\n
2023 \u5e74 8 \u6708\uff0c\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u63d0\u51fa LISA\uff0c\u89e3\u9501\u591a\u6a21\u6001\u5927\u6a21\u578b\u300c\u63a8\u7406\u5206\u5272\u300d\u80fd\u529b\u3002LISA \u53ea\u9700\u8981\u5728 8 \u5f20 24GB \u663e\u5b58\u7684 3090 \u663e\u5361\u4e0a\u8fdb\u884c 10000 \u6b21\u8fed\u4ee3\u8bad\u7ec3\uff0c\u5373\u53ef\u5b8c\u6210 70 \u4ebf\u53c2\u6570<\/mark>\u6a21\u578b\u7684\u8bad\u7ec3<\/strong>\u3002<\/section>\n
<\/section>\n
\u7ed3\u679c\u8868\u660e\uff0cLISA \u5728\u8bad\u7ec3\u4e2d\u4ec5\u4f7f\u7528\u4e0d\u5305\u542b\u590d\u6742\u63a8\u7406\u7684\u5206\u5272\u6570\u636e\uff0c\u5c31\u80fd\u5728\u63a8\u7406\u5206\u5272\u4efb\u52a1\u4e0a\u5c55\u73b0\u51fa\u4f18\u5f02\u7684\u96f6\u6837\u672c\u6cdb\u5316\u80fd\u529b\uff0c\u5e76\u5728\u4f7f\u7528\u989d\u5916\u7684\u63a8\u7406\u5206\u5272\u6570\u636e\u5fae\u8c03\u540e\u8ba9\u5206\u5272\u6548\u679c\u66f4\u4e0a\u4e00\u4e2a\u53f0\u9636\u3002<\/section>\n

<\/a><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 LISA \u6548\u679c\u5c55\u793a<\/sup><\/em><\/section>\n

LISA \u7684\u6210\u529f\u53ea\u662f\u5c11\u7b97\u529b\u63a2\u7d22\u7684\u725b\u5200\u5c0f\u8bd5\uff0c\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u5728 2023 \u5e74 10 \u6708\u63d0\u51fa\u4e86\u8d85\u957f\u6587\u672c\u6269\u5c55\u6280\u672f\u00a0LongLoRA\uff0c\u5728\u5355\u53f0 8x A100 \u8bbe\u5907\u4e0a\uff0cLongLoRA \u5c06 LLaMA2 7B \u4ece 4k \u4e0a\u4e0b\u6587\u6269\u5c55\u5230 100k\uff0c LLaMA2 70B \u6269\u5c55\u5230 32k<\/strong>\u3002LongLoRA \u8fd8\u88ab\u63a5\u6536\u4e3a ICLR 2024 Oral\u3002<\/p>\n

\u5728\u5582\u7ed9 LongLoRA \u52a0\u6301\u7684 Llama2-13B \u8d85\u957f\u7bc7\u5e45\u7684\u79d1\u5e7b\u5de8\u8457\u300a\u4e09\u4f53\u300b\u540e\uff0c\u5b83\u53ef\u4ee5\u4e3a\u4f60\u8be6\u7ec6\u603b\u7ed3\u300c\u53f2\u5f3a\u5bf9\u6574\u4e2a\u4eba\u7c7b\u793e\u4f1a\u7684\u91cd\u8981\u6027\u300d\u3002<\/p>\n

<\/a><\/p>\n

\u8be5\u56e2\u961f\u8fd8\u4e8e 2023 \u5e74 12 \u6708\u63d0\u51fa LLaMA-VID\uff0c\u65e8\u5728\u89e3\u51b3\u89c6\u89c9\u8bed\u8a00\u6a21\u578b\u5728\u5904\u7406\u957f\u89c6\u9891\u65f6\u56e0\u89c6\u89c9 token \u8fc7\u591a\u5bfc\u81f4\u7684\u8ba1\u7b97\u8d1f\u62c5\uff0c\u901a\u8fc7\u5c06\u89c6\u9891\u4e2d\u6bcf\u4e00\u5e27\u56fe\u50cf\u7684 token \u6570\u538b\u7f29\u5230\u4e86 2 \u4e2a\uff0c\u5b9e\u73b0\u4e86\u5355\u56fe\u4e4b\u5916\u77ed\u89c6\u9891\u751a\u81f3 3 \u5c0f\u65f6\u65f6\u957f\u7535\u5f71\u7684\u8f93\u5165\u5904\u7406\u3002<\/p>\n

LLaMA-VID \u88ab ECCV 2024 \u63a5\u6536\u3002\u6b64\u5916\uff0c\u8d3e\u4f73\u4e9a<\/mark>\u56e2\u961f\u8fd8\u63d0\u4f9b\u4e86 LLaMA-VID \u8bd5\u7528\u7248\u672c\uff0c\u7531\u5355\u4e2a 3090 GPU \u5b9e\u73b0\uff0c\u652f\u6301 30 \u5206\u949f\u7684\u89c6\u9891\u5904\u7406<\/strong>\u3002\u611f\u5174\u8da3\u7684\u5c0f\u4f19\u4f34\u53ef\u4ee5\u5c1d\u8bd5\u4e00\u4e0b\u3002<\/p>\n

<\/a><\/p>\n

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