{"id":295,"date":"2026-01-23T09:58:17","date_gmt":"2026-01-23T01:58:17","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/?p=295"},"modified":"2026-01-23T09:59:37","modified_gmt":"2026-01-23T01:59:37","slug":"dreamo%e5%9b%be%e5%83%8f%e5%ae%9a%e5%88%b6%e6%a8%a1%e5%9e%8b%e5%ae%89%e8%a3%85%e6%95%99%e7%a8%8b","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/295","title":{"rendered":"DreamO\u56fe\u50cf\u5b9a\u5236\u6a21\u578b\u5b89\u88c5\u6559\u7a0b"},"content":{"rendered":"\n

DreamO\u4f5c\u4e3a\u5b57\u8282\u8df3\u52a8\u5f00\u6e90\u7684\u7edf\u4e00\u56fe\u50cf\u5b9a\u5236\u6846\u67b6\uff0c\u57fa\u4e8eDiffusion Transformer\u67b6\u6784\u8bbe\u8ba1\uff0c\u652f\u6301\u89d2\u8272\u8eab\u4efd\u5b9a\u5236\u3001\u865a\u62df\u8bd5\u7a7f\u3001\u98ce\u683c\u8fc1\u79fb\u7b49\u591a\u79cd\u9ad8\u9891\u56fe\u50cf\u7f16\u8f91\u4efb\u52a1\uff0c\u51ed\u501f\u51fa\u8272\u7684\u751f\u6210\u8d28\u91cf\u548c\u7075\u6d3b\u7684\u9002\u914d\u6027\uff0c\u6210\u4e3a\u5f00\u53d1\u8005\u548c\u521b\u4f5c\u7231\u597d\u8005\u7684\u70ed\u95e8\u9009\u62e9\u3002<\/p>\n\n\n\n

\u4e00\u3001\u5b89\u88c5\u524d\u51c6\u5907\uff1a\u786c\u4ef6\u4e0e\u8f6f\u4ef6\u914d\u7f6e\u8981\u6c42<\/p>\n\n\n\n

DreamO\u6a21\u578b\u5bf9\u786c\u4ef6\u6709\u4e00\u5b9a\u57fa\u7840\u8981\u6c42\uff0c\u5c24\u5176\u662f\u663e\u5361\u663e\u5b58\uff0c\u9700\u63d0\u524d\u786e\u8ba4\u8bbe\u5907\u662f\u5426\u8fbe\u6807\u3002\u786c\u4ef6\u65b9\u9762\uff0c\u6838\u5fc3\u914d\u7f6e\u4e3aNVIDIA\u663e\u5361\uff0c\u663e\u5b58\u226516GB(24GB\u53ca\u4ee5\u4e0a\u66f4\u4f73\uff0c\u652f\u6301CUDA\u52a0\u901f);\u82e5\u663e\u5b58\u4e0d\u8db38GB\uff0c\u9700\u4f9d\u8d56\u91cf\u5316\u5de5\u5177\u548cCPU\u5378\u8f7d\u529f\u80fd\u8f85\u52a9\u8fd0\u884c\u3002CPU\u63a8\u8350Intel i7\u6216AMD Ryzen 7\u53ca\u4ee5\u4e0a\u578b\u53f7\uff0c\u5185\u5b58\u5efa\u8bae\u226540GB\u4ee5\u4fdd\u969c\u8fd0\u884c\u6d41\u7545\u6027;\u5b58\u50a8\u9700\u9884\u7559\u81f3\u5c1170GB\u7a7a\u95f2\u7a7a\u95f4\uff0c\u7528\u4e8e\u5b58\u653e\u9879\u76ee\u4ee3\u7801\u3001\u6a21\u578b\u6743\u91cd\u3001\u4f9d\u8d56\u5305\u53ca\u751f\u6210\u6587\u4ef6\u3002\u663e\u5361\u9700\u652f\u6301CUDA 12.8\u53ca\u4ee5\u4e0a\u7248\u672c\uff0c\u53ef\u901a\u8fc7NVIDIA\u5b98\u65b9\u5de5\u5177\u67e5\u8be2\u663e\u5361\u517c\u5bb9\u7684CUDA\u7248\u672c\u3002<\/p>\n\n\n\n

\u8f6f\u4ef6\u73af\u5883\u9700\u642d\u5efa\u9002\u914d\u7684\u57fa\u7840\u6846\u67b6\uff0c\u64cd\u4f5c\u7cfb\u7edf\u4f18\u5148\u9009\u62e9Windows 10\/11 64\u4f4d\u6216Linux(Ubuntu 20.04\u53ca\u4ee5\u4e0a)\u3002\u6838\u5fc3\u4f9d\u8d56\u5de5\u5177\u53ca\u5305\u5305\u62ec\uff1aGit(\u7528\u4e8e\u62c9\u53d6\u9879\u76ee\u4ee3\u7801)\u3001Conda(\u63a8\u8350\u7528\u4e8e\u521b\u5efa\u72ec\u7acb\u865a\u62df\u73af\u5883\uff0c\u907f\u514d\u4f9d\u8d56\u51b2\u7a81)\u3001Python 3.10-3.12(\u9700\u4e0e\u4f9d\u8d56\u5305\u7248\u672c\u5339\u914d)\u3001PyTorch(\u9700\u5bf9\u5e94CUDA\u7248\u672c\uff0c\u5982CUDA 12.6\u53ef\u5b89\u88c5PyTorch 2.2\u53ca\u4ee5\u4e0a)\uff0c\u4ee5\u53caFFmpeg(\u7528\u4e8e\u56fe\u50cf\u7f16\u7801\uff0c\u9700\u914d\u7f6e\u7cfb\u7edf\u73af\u5883\u53d8\u91cf)\u3002Windows\u7cfb\u7edf\u9700\u989d\u5916\u5b89\u88c5Visual Studio Build Tools\u5e76\u52fe\u9009C++\u6784\u5efa\u5de5\u5177\uff0c\u786e\u4fdd\u7f16\u8bd1\u4f9d\u8d56\u6b63\u5e38\u3002<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n

\u4e8c\u3001\u8be6\u7ec6\u5b89\u88c5\u6b65\u9aa4\uff1a\u4ece\u73af\u5883\u642d\u5efa\u5230\u6a21\u578b\u542f\u52a8<\/p>\n\n\n\n

1. \u9879\u76ee\u4ee3\u7801\u83b7\u53d6\u4e0e\u865a\u62df\u73af\u5883\u521b\u5efa<\/p>\n\n\n\n

\u9996\u5148\u83b7\u53d6DreamO\u5b98\u65b9\u9879\u76ee\u4ee3\u7801\uff0c\u6253\u5f00\u7ec8\u7aef(Windows\u4e3aCMD\u6216PowerShell\uff0cLinux\u4e3a\u7ec8\u7aef)\uff0c\u8f93\u5165\u547d\u4ee4\uff1agit clone https:\/\/github.com\/bytedance\/DreamO.git \uff0c\u82e5\u672a\u5b89\u88c5Git\uff0c\u53ef\u76f4\u63a5\u8bbf\u95eeGitHub\u4ed3\u5e93\u4e0b\u8f7d\u538b\u7f29\u5305\u5e76\u89e3\u538b\u81f3\u6307\u5b9a\u76ee\u5f55\u3002\u8fdb\u5165\u9879\u76ee\u6839\u76ee\u5f55\uff0c\u547d\u4ee4\u4e3acd DreamO\u3002\u968f\u540e\u901a\u8fc7Conda\u521b\u5efa\u865a\u62df\u73af\u5883\uff0c\u8f93\u5165\u547d\u4ee4\uff1aconda create –name dreamo python=3.10 (Windows\u4e0eLinux\u901a\u7528)\uff0c\u7b49\u5f85\u73af\u5883\u521b\u5efa\u5b8c\u6210\u540e\uff0c\u6fc0\u6d3b\u73af\u5883\uff1aconda activate dreamo \u3002<\/p>\n\n\n\n

\u661f\u5b87\u667a\u7b97\u5b98\u7f51\u652f\u6301\u514d\u8d39\u90e8\u7f72\u7acb\u9a6c\u5b89\u88c5\uff01\u70b9\u51fb\u4e0b\u65b9\u7acb\u5373\u8bd5\u7528!<\/strong><\/p>\n\n\n

\n
\"hivisionidphotos\"<\/a><\/figure>\n<\/div>\n\n\n

2. \u4f9d\u8d56\u5305\u5b89\u88c5\u4e0e\u7248\u672c\u9002\u914d<\/p>\n\n\n\n

\u5728\u6fc0\u6d3b\u7684\u865a\u62df\u73af\u5883\u4e2d\uff0c\u4f18\u5148\u5b89\u88c5\u9879\u76ee\u6240\u9700\u4f9d\u8d56\u5305\uff0c\u6267\u884c\u547d\u4ee4\uff1apip install -r requirements.txt \u3002\u9700\u6ce8\u610fDreamO v1.1\u7248\u672c\u8981\u6c42diffusers\u7248\u672c\u4e3a0.33.1.\u82e5\u4e4b\u524d\u5b89\u88c5\u8fc7\u65e7\u7248\u672c(\u59820.31.0)\uff0c\u9700\u624b\u52a8\u66f4\u65b0\uff1apip install diffusers==0.33.1 \u3002\u5bf9\u4e8e\u9700\u8981CUDA\u52a0\u901f\u7684\u7528\u6237\uff0c\u9700\u5355\u72ec\u5b89\u88c5\u9002\u914d\u7684PyTorch\u5957\u4ef6\uff0c\u547d\u4ee4\u4e3a\uff1apip install torch torchvision torchaudio –index (\u4ee5CUDA 12.6\u4e3a\u4f8b)\u3002\u82e5\u9700\u4f7f\u7528Nunchaku\u91cf\u5316\u5de5\u5177\u964d\u4f4e\u663e\u5b58\u5360\u7528\uff0c\u9700\u53c2\u8003\u5176\u5b98\u65b9\u4ed3\u5e93\u5355\u72ec\u5b89\u88c5\u5bf9\u5e94\u4f9d\u8d56\u3002<\/p>\n\n\n\n

3. \u6a21\u578b\u6587\u4ef6\u81ea\u52a8\u52a0\u8f7d\u4e0e\u53c2\u6570\u914d\u7f6e<\/p>\n\n\n\n

DreamO\u652f\u6301\u542f\u52a8\u65f6\u81ea\u52a8\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd\uff0c\u65e0\u9700\u624b\u52a8\u5355\u72ec\u4e0b\u8f7d\u3002\u82e5\u9700\u4fee\u6539\u8fd0\u884c\u53c2\u6570(\u5982\u91cf\u5316\u65b9\u5f0f\u3001\u8bbe\u5907\u9009\u62e9\u3001\u63a8\u7406\u6b65\u6570\u7b49)\uff0c\u53ef\u5728\u9879\u76ee\u6839\u76ee\u5f55\u7684\u914d\u7f6e\u6587\u4ef6\u4e2d\u8c03\u6574\uff0c\u6838\u5fc3\u53c2\u6570\u5305\u62ec\uff1a–version(\u6307\u5b9a\u6a21\u578b\u7248\u672c\uff0c\u9ed8\u8ba4v1.1.\u53ef\u5207\u6362\u81f3v1)\u3001–quant(\u91cf\u5316\u65b9\u5f0f\uff0c\u53ef\u9009none\u3001int8\u3001nunchaku\uff0c\u663e\u5b58\u4e0d\u8db3\u65f6\u63a8\u8350nunchaku)\u3001–device(\u6307\u5b9a\u8fd0\u884c\u8bbe\u5907\uff0c\u53ef\u9009auto\u3001cuda\u3001cpu\uff0c\u4f18\u5148\u9009\u62e9cuda)\u3001–offload(\u542f\u7528CPU\u5378\u8f7d\uff0c\u964d\u4f4e\u663e\u5b58\u5360\u7528)\u3002\u5bf9\u4e8e8GB\u663e\u5b58\u7528\u6237\uff0c\u5efa\u8bae\u542f\u7528\u91cf\u5316\u4e0e\u5378\u8f7d\u7ec4\u5408\u53c2\u6570\uff0c\u63d0\u5347\u8fd0\u884c\u7a33\u5b9a\u6027\u3002<\/p>\n\n\n\n

4. \u6a21\u578b\u542f\u52a8\u4e0e\u672c\u5730\u6f14\u793a\u9a8c\u8bc1<\/p>\n\n\n\n

\u5b8c\u6210\u914d\u7f6e\u540e\u5373\u53ef\u542f\u52a8\u6a21\u578b\uff0c\u57fa\u7840\u542f\u52a8\u547d\u4ee4\u4e3a\uff1apython app.py \uff0c\u8be5\u547d\u4ee4\u5c06\u542f\u52a8\u672c\u5730Gradio\u6f14\u793a\u754c\u9762\u3002\u82e5\u663e\u5b58\u4e0d\u8db3(\u59828GB\u663e\u5b58)\uff0c\u9700\u8f93\u5165\u4f18\u5316\u547d\u4ee4\uff1apython app.py –nunchaku –offload \uff0c\u901a\u8fc7Nunchaku\u91cf\u5316\u548cCPU\u5378\u8f7d\u5c06\u663e\u5b58\u9700\u6c42\u964d\u81f36.5GB\u5de6\u53f3\u3002\u542f\u52a8\u6210\u529f\u540e\uff0c\u7ec8\u7aef\u5c06\u663e\u793a\u672c\u5730\u8bbf\u95ee\u5730\u5740(\u901a\u5e38\u4e3ahttp:\/\/localhost:7860 )\uff0c\u590d\u5236\u5730\u5740\u5728\u6d4f\u89c8\u5668\u4e2d\u6253\u5f00\uff0c\u5373\u53ef\u8fdb\u5165DreamO\u53ef\u89c6\u5316\u64cd\u4f5c\u754c\u9762\u3002\u9996\u6b21\u542f\u52a8\u9700\u7b49\u5f85\u6a21\u578b\u6743\u91cd\u81ea\u52a8\u4e0b\u8f7d\u5b8c\u6210\uff0c\u8017\u65f6\u6839\u636e\u7f51\u7edc\u901f\u5ea6\u800c\u5b9a\uff0c\u5efa\u8bae\u5728\u7f51\u7edc\u7a33\u5b9a\u73af\u5883\u4e0b\u64cd\u4f5c\u3002<\/p>\n\n\n\n

\u4e09\u3001\u5e38\u89c1\u95ee\u9898\u6392\u67e5\u4e0e\u89e3\u51b3\u65b9\u6848<\/p>\n\n\n\n

1. \u663e\u5b58\u4e0d\u8db3\u62a5\u9519(CUDA out of memory)\uff1a\u9664\u542f\u7528–nunchaku –offload\u53c2\u6570\u5916\uff0c\u53ef\u964d\u4f4e\u751f\u6210\u56fe\u50cf\u5206\u8fa8\u7387\uff0c\u6216\u5173\u95ed\u5176\u4ed6\u5360\u7528\u663e\u5b58\u7684\u7a0b\u5e8f\u3002\u82e5\u4ecd\u65e0\u6cd5\u89e3\u51b3\uff0c\u53ef\u6dfb\u52a0–no_turbo\u53c2\u6570\u7981\u7528Turbo LoRA\u52a0\u901f(\u9700\u6ce8\u610f\u4f1a\u589e\u52a0\u63a8\u7406\u6b65\u6570\uff0c\u964d\u4f4e\u751f\u6210\u6548\u7387)\u30022. \u4f9d\u8d56\u5305\u7248\u672c\u51b2\u7a81\uff1a\u5efa\u8bae\u5220\u9664\u73b0\u6709\u865a\u62df\u73af\u5883\uff0c\u91cd\u65b0\u521b\u5efa\u5e76\u4e25\u683c\u6309\u7167requirements.txt\u5b89\u88c5\u4f9d\u8d56\uff0c\u5173\u952e\u5305(\u5982diffusers\u3001torch)\u9700\u6307\u5b9a\u7248\u672c\u53f7\u30023. \u542f\u52a8\u540e\u65e0\u6cd5\u8bbf\u95ee\u754c\u9762\uff1a\u68c0\u67e5\u7aef\u53e37860\u662f\u5426\u88ab\u5360\u7528\uff0c\u53ef\u901a\u8fc7\u547d\u4ee4netstat -ano | findstr 7860 (Windows)\u67e5\u770b\uff0c\u5360\u7528\u5219\u5173\u95ed\u5bf9\u5e94\u8fdb\u7a0b\u6216\u4fee\u6539\u914d\u7f6e\u6587\u4ef6\u66f4\u6362\u7aef\u53e3\u30024. \u56fe\u50cf\u751f\u6210\u8fc7\u5ea6\u9971\u548c\u6216\u80a2\u4f53\u626d\u66f2\uff1a\u8fc7\u5ea6\u9971\u548c\u53ef\u964d\u4f4e\u5f15\u5bfc\u5c3a\u5ea6(guidance scale)\uff0c\u80a2\u4f53\u626d\u66f2\u5219\u9002\u5f53\u63d0\u9ad8\u5f15\u5bfc\u5c3a\u5ea6\uff0c\u8c03\u6574\u8303\u56f4\u5efa\u8bae\u4e3a7-12\u4e4b\u95f4\u3002<\/p>\n\n\n\n

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