{"id":5736,"date":"2024-09-04T17:47:30","date_gmt":"2024-09-04T09:47:30","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=5736"},"modified":"2025-07-29T10:30:58","modified_gmt":"2025-07-29T02:30:58","slug":"facefusion","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/facefusion\/","title":{"rendered":"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c"},"content":{"rendered":"<p>FaceFusion\u662f\u4e00\u4e2a\u96c6\u6210\u4e86\u9762\u90e8\u4ea4\u6362\u4e0e\u589e\u5f3a\u529f\u80fd\u7684\u5148\u8fdb\u4e91\u5e73\u53f0\uff0c\u4f18\u5316\u4e86\u201c\u56fe\u50cf\u5230\u89c6\u9891\u201d\u3001\u201c\u56fe\u50cf\u5230\u56fe\u50cf\u201d\u7684\u4ea4\u6362\u8fc7\u7a0b\uff0c\u5e76\u62e5\u67095\u4e2a\u4e13\u4e1a\u6a21\u578b\uff0c\u4ee5\u786e\u4fdd\u65e0\u7455\u7684\u8f93\u51fa\u3002\u6b64\u5916\uff0c\u5b83\u901a\u8fc77\u79cd\u6a21\u578b\u8fdb\u884c\u9762\u90e8\u589e\u5f3a\uff0c\u4f7f\u75283\u79cd\u4e0d\u540c\u6a21\u578b\u63d0\u5347\u89c6\u9891\u548c\u56fe\u7247\u8d28\u91cf\uff0c\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u5f3a\u5927\u7684\u529f\u80fd\uff0c\u5305\u62ec\u4eba\u8138\u66ff\u6362\u3001\u4eba\u8138\u589e\u5f3a\u3001\u5507\u5f62\u540c\u6b65\u7b49\u3002<\/p>\n<p>FaceFusion\u7684\u76ee\u6807\u662f\u4e3a\u7528\u6237\u63d0\u4f9b\u4e00\u4e2a\u6613\u7528\u3001\u9ad8\u6548\u4e14\u529f\u80fd\u4e30\u5bcc\u7684AI\u6362\u8138\u89e3\u51b3\u65b9\u6848\u3002\u5e76\u652f\u6301\u5728\u7ebf\u8fd0\u884c\u548c\u591a\u6a21\u578b\u9762\u90e8\u68c0\u6d4b\u7b49\u3002GitHub\u9879\u76ee\u5305\u542b\u5b89\u88c5\u548c\u4f7f\u7528\u6307\u5357\uff0c\u9700\u76f8\u5173\u6280\u672f\u77e5\u8bc6\u3002<\/p>\n<p>FaceFusion \u66f4\u65b0\u52303.0\uff0c\u4f18\u5316\u5e45\u5ea6\u8f83\u5927\uff0c\u5efa\u8bae\u66f4\u65b0\uff0c\u6587\u7ae0\u7ed3\u5c3e\u63d0\u4f9b\u591a\u79cdFaceFusion\u4e00\u952e\u5b89\u88c5\u5305\u3002\u7535\u8111\u914d\u7f6e\u65e0\u6cd5\u8fd0\u884c\uff0c\u8bf7\u9009\u62e9\u66f4\u591a\u4f18\u79c0\u53ef\u514d\u8d39\u5728\u7ebf\u8fd0\u884c\u7684 <a href=\"https:\/\/www.kdjingpai.com\/tag\/aihuanlianyuhuanzhuang\/\">\u6362\u8138\u5de5\u5177<\/a>\u3002<\/p>\n<p>FaceFusion \u4f7f\u7528\u6559\u7a0b\uff1a<a href=\"https:\/\/www.kdjingpai.com\/aihuanlianzuiqianggongju\/\">AI\u6362\u8138\u6700\u5f3a\u5de5\u5177\uff1aFaceFusion\u8be6\u7ec6\u4f7f\u7528\u6559\u7a0b<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" title=\"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/09\/711ec6fc77dadf9-1.png\" alt=\"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c-1\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u591a\u6a21\u578b\u652f\u6301\uff1a\u63d0\u4f9b\u591a\u79cd\u4eba\u8138\u4ea4\u6362\u548c\u589e\u5f3a\u6a21\u578b\uff0c\u5982InSwapper_128\u3001GFPGAN\u7b49\u3002<\/li>\n<li>\u9ad8\u6e05\u5904\u7406\uff1a\u652f\u6301\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\u548c\u89c6\u9891\u5904\u7406\uff0c\u786e\u4fdd\u8f93\u51fa\u7ed3\u679c\u7684\u6e05\u6670\u5ea6\u548c\u8d28\u91cf\u3002<\/li>\n<li>\u906e\u6321\u5904\u7406\uff1a\u901a\u8fc7\u5148\u8fdb\u7684\u906e\u6321\u68c0\u6d4b\u548c\u5904\u7406\u6280\u672f\uff0c\u6709\u6548\u89e3\u51b3\u90e8\u5206\u906e\u6321\u60c5\u51b5\u4e0b\u7684\u6362\u8138\u95ee\u9898\u3002<\/li>\n<li>\u591a\u5e73\u53f0\u517c\u5bb9\uff1a\u652f\u6301NVIDIA\u548cAMD\u7b49\u4e3b\u6d41\u663e\u5361\u5e73\u53f0\u3002<\/li>\n<li>\u5507\u5f62\u540c\u6b65\uff1a\u63d0\u4f9b\u97f3\u9891\u5230\u89c6\u9891\u7684\u5507\u5f62\u540c\u6b65\u529f\u80fd\u3002<\/li>\n<li>\u5f00\u6e90\u514d\u8d39\uff1a\u5141\u8bb8\u7528\u6237\u81ea\u7531\u4f7f\u7528\u548c\u5b9a\u5236\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6307\u5357<\/h3>\n<p>Win11\u672c\u5730\u90e8\u7f72FaceFusion3\u6700\u5f3aAI\u6362\u8138,\u96c6\u6210Tensorrt10.4\u63a8\u7406\u52a0\u901f<\/p>\n<p>FaceFusion\u7684\u5b89\u88c5\u9700\u8981\u4e00\u5b9a\u7684\u6280\u672f\u57fa\u7840\u3002\u5bf9\u4e8e\u719f\u6089\u547d\u4ee4\u884c\u64cd\u4f5c\u7684\u7528\u6237\uff0c\u53ef\u4ee5\u6309\u7167\u4ee5\u4e0b\u6b65\u9aa4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<p><img decoding=\"async\" title=\"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/10\/ede2d2c33fa9d7c.jpg\" alt=\"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c-1\" \/><\/p>\n<p>FaceFusion3.0.0\u5927\u62b5\u662f\u73b0\u5728\u6700\u5f3a\u7684AI\u6362\u8138\u9879\u76ee\uff0c\u5206\u4eab\u4e00\u4e0b\u5982\u4f55\u5728Win11\u7cfb\u7edf\uff0c\u57fa\u4e8e\u6700\u65b0\u7684cuda12.6\u914d\u5408\u6700\u65b0\u7684cudnn9.4\u672c\u5730\u90e8\u7f72FaceFusion3.0.0\u9879\u76ee\uff0c\u5e76\u4e14\u642d\u914dTensorrt10.4\uff0c\u63d0\u9ad8\u63a8\u7406\u901f\u5ea6\u548c\u6548\u7387\uff0c\u8ba9\u751c\u54c1\u7ea7\u663e\u5361\u4e5f\u80fd\u7206\u53d1\u751f\u4ea7\u529b\u3002<\/p>\n<h4>\u5b89\u88c5\u6700\u65b0\u7248\u672cCuda12.6\u4ee5\u53caCudnn9.4<\/h4>\n<p>CUDA\u662fNVIDIA\u516c\u53f8\u5f00\u53d1\u7684\u4e00\u79cd\u6280\u672f\uff0c\u5b83\u80fd\u8ba9GPU\u50cfCPU\u4e00\u6837\u7f16\u7a0b\uff0c\u8ba9GPU\u4e5f\u80fd\u53c2\u4e0e\u5230\u8ba1\u7b97\u4e2d\u6765\uff0c\u4ece\u800c\u52a0\u901f\u8ba1\u7b97\u8fc7\u7a0b\u3002\u4f60\u53ef\u4ee5\u628a\u5b83\u60f3\u8c61\u6210\u4e00\u79cd\u201c\u8bed\u8a00\u201d\uff0c\u8ba9\u7a0b\u5e8f\u5458\u53ef\u4ee5\u6307\u6325GPU\u7684\u201c\u5de5\u4eba\u201d\u4eec\u4e00\u8d77\u5de5\u4f5c\u3002<\/p>\n<p>cuDNN\u5219\u662f\u4e13\u95e8\u4e3a\u6df1\u5ea6\u5b66\u4e60\u8bbe\u8ba1\u7684\u201c\u5de5\u5177\u7bb1\u201d\u3002\u6df1\u5ea6\u5b66\u4e60\u5c31\u50cf\u76d6\u623f\u5b50\uff0c\u9700\u8981\u5f88\u591a\u201c\u79ef\u6728\u201d\u5757\uff0c\u6bd4\u5982\u5377\u79ef\u3001\u6c60\u5316\u7b49\u64cd\u4f5c\u3002cuDNN\u63d0\u4f9b\u4e86\u8fd9\u4e9b\u9884\u5148\u4f18\u5316\u597d\u7684\u201c\u79ef\u6728\u201d\uff0c\u8ba9\u7a0b\u5e8f\u5458\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\uff0c\u800c\u4e0d\u7528\u81ea\u5df1\u4ece\u5934\u5f00\u59cb\u7f16\u5199\u8fd9\u4e9b\u590d\u6742\u7684\u4ee3\u7801\uff0c\u4ece\u800c\u5927\u5927\u63d0\u9ad8\u4e86\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u901f\u5ea6\u3002 \u5b83\u5c31\u50cf\u4e00\u4e2a\u7ecf\u9a8c\u4e30\u5bcc\u7684\u5efa\u7b51\u5de5\u4eba\uff0c\u80fd\u5feb\u901f\u9ad8\u6548\u5730\u5b8c\u6210\u76d6\u623f\u5b50\u7684\u5de5\u4f5c\u3002<\/p>\n<p>\u5b89\u88c5\u5305\u53ef\u4ee5\u53bb Nvidia \u5b98\u65b9\u7f51\u7ad9\u8fdb\u884c\u4e0b\u8f7d\uff0c\u4f46\u662f\u5fc5\u987b\u767b\u5f55Nvidia\u8d26\u53f7\uff0c\u8fd9\u91cc\u4e3a\u5927\u5bb6\u4e0b\u8f7d\u597d\u4e86\u6700\u65b0\u7684\u5b89\u88c5\u5305\uff1a<\/p>\n<pre><code>https:\/\/pan.quark.cn\/s\/bc3ab3494596\r\n<\/code><\/pre>\n<p>\u9996\u5148\u53cc\u51fb cuda_12.6.1_560.94_windows.exe \u8fdb\u884c\u5b89\u88c5\uff0c\u6ce8\u610f\u4e0d\u8981\u5b89\u88c5\u5230C\u76d8\uff0c\u56e0\u4e3a\u592a\u5360\u5730\u65b9\uff0c\u5efa\u8bae\u5728\u522b\u7684\u76d8\u7b26\u5efa\u7acb12.6\u76ee\u5f55\uff0c\u7136\u540e\u8fdb\u884c\u5b89\u88c5\u5373\u53ef\u3002<\/p>\n<p>\u5b89\u88c5\u6210\u529f\u540e\uff0c\u8fd0\u884c\u547d\u4ee4\u8fdb\u884c\u68c0\u67e5\uff1a<\/p>\n<pre><code>(base) PS C:\\Users\\zcxey&gt; nvcc -V  \r\nnvcc: NVIDIA (R) Cuda compiler driver  \r\nCopyright (c) 2005-2024 NVIDIA Corporation  \r\nBuilt on Wed_Aug_14_10:26:51_Pacific_Daylight_Time_2024  \r\nCuda compilation tools, release 12.6, V12.6.68  \r\nBuild cuda_12.6.r12.6\/compiler.34714021_0  \r\n(base) PS C:\\Users\\zcxey&gt;\r\n<\/code><\/pre>\n<p>\u53ef\u4ee5\u770b\u5230\u663e\u793a\u7684\u7248\u672c\u662f 12.6<\/p>\n<p>\u968f\u540e\u6253\u5f00 cudnn-windows-x86_64-9.4.0.58_cuda12-archive \u76ee\u5f55\uff0c\u628a\u5176\u4e2d\u7684 bin\u3001include\u4ee5\u53calib\u76ee\u5f55\u76f4\u63a5\u62f7\u8d1d\u8986\u76d6\u5230 cuda \u7684\u5b89\u88c5\u76ee\u5f55\u5373\u53ef\u3002\u81f3\u6b64\uff0ccuda12.6\u548c\u5176\u5bf9\u5e94\u7684cudnn9.4\u5c31\u5b89\u88c5\u597d\u4e86\uff0c\u6ce8\u610f\u7248\u672c\u53f7\u5fc5\u987b\u543b\u5408\u3002<\/p>\n<h4>\u5b89\u88c5Tensorrt10.4<\/h4>\n<p>\u5173\u4e8eTensorrt\uff0c\u60f3\u8c61\u4e00\u4e0b\u4f60\u8bad\u7ec3\u597d\u4e86\u4e00\u53ea\u975e\u5e38\u806a\u660e\u7684\u72d7\u72d7\uff08\u4f60\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff09\uff0c\u5b83\u5df2\u7ecf\u5b66\u4f1a\u4e86\u8bc6\u522b\u5404\u79cd\u732b\u548c\u72d7\u7684\u56fe\u7247\u3002\u4f46\u662f\uff0c\u8fd9\u53ea\u72d7\u72d7\u6bcf\u6b21\u8bc6\u522b\u56fe\u7247\u90fd\u9700\u8981\u5f88\u957f\u65f6\u95f4\uff0c\u6548\u7387\u4e0d\u9ad8\u3002<\/p>\n<p>TensorRT\u5c31\u50cf\u4e00\u4e2a\u8bad\u7ec3\u5e08\uff0c\u5b83\u80fd\u5e2e\u52a9\u4f60\u628a\u8fd9\u53ea\u72d7\u72d7\u8bad\u7ec3\u5f97\u66f4\u52a0\u9ad8\u6548\u3002\u5b83\u4f1a\u4f18\u5316\u72d7\u72d7\u7684\u8bc6\u522b\u65b9\u6cd5\uff0c\u8ba9\u5b83\u80fd\u591f\u66f4\u5feb\u66f4\u51c6\u786e\u5730\u8bc6\u522b\u56fe\u7247\uff0c\u5e76\u4e14\u6d88\u8017\u66f4\u5c11\u7684\u80fd\u91cf\u3002 \u6240\u4ee5\uff0c\u7528TensorRT\u4f18\u5316\u540e\u7684\u6a21\u578b\uff0c\u5c31\u80fd\u5728\u4f60\u7684\u7535\u8111\u6216\u670d\u52a1\u5668\u4e0a\u66f4\u5feb\u5730\u8fdb\u884c\u63a8\u7406\uff08\u8bc6\u522b\u56fe\u7247\uff09\uff0c\u4ece\u800c\u8282\u7701\u65f6\u95f4\u548c\u8d44\u6e90\u3002<\/p>\n<p>Tensorrt\u4e3b\u8981\u9488\u5bf9\u7684\u662f\u5df2\u7ecf\u8bad\u7ec3\u597d\u7684\u6a21\u578b\uff0c\u800c\u4e0d\u662f\u8bad\u7ec3\u6a21\u578b\u672c\u8eab\u3002 \u5b83\u5c31\u50cf\u4e00\u4e2a\u4e13\u4e1a\u7684\u4f18\u5316\u5668\uff0c\u8ba9\u4f60\u7684\u6a21\u578b\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u8dd1\u5f97\u66f4\u5feb\u66f4\u7701\u529b\u3002<\/p>\n<p>\u6253\u5f00 TensorRT-10.4.0.26 \u76ee\u5f55\uff0c\u628a lib \u76ee\u5f55\u4e0b\u7684\u6240\u6709\u52a8\u6001\u5e93 dll \u6587\u4ef6\u5168\u90e8\u62f7\u8d1d\u5230 cuda12.6 \u5b89\u88c5\u76ee\u5f55\u7684 bin\u76ee\u5f55\u4e0b\u5373\u53ef\uff1a<\/p>\n<pre><code>Directory of D:\\12.6\\bin  \r\n2024\/09\/27  11:08    &lt;DIR&gt;          .  \r\n2024\/09\/27  10:48    &lt;DIR&gt;          ..  \r\n2024\/08\/15  02:14           228,352 bin2c.exe  \r\n2024\/08\/15  02:01                66 compute-sanitizer.bat  \r\n2024\/09\/27  10:48    &lt;DIR&gt;          crt  \r\n2024\/08\/15  02:11           202,752 cu++filt.exe  \r\n2024\/08\/15  02:34       100,806,656 cublas64_12.dll  \r\n2024\/08\/15  02:34       510,903,296 cublasLt64_12.dll  \r\n2024\/08\/15  02:14         7,739,904 cudafe++.exe  \r\n2024\/08\/15  02:11           556,544 cudart64_12.dll  \r\n2023\/11\/30  16:26           288,296 cudnn64_8.dll  \r\n2024\/09\/01  04:24           265,272 cudnn64_9.dll  \r\n2024\/09\/01  04:24       243,945,512 cudnn_adv64_9.dll  \r\n2023\/11\/30  16:26       125,217,320 cudnn_adv_infer64_8.dll  \r\n2023\/11\/30  16:26       116,558,888 cudnn_adv_train64_8.dll  \r\n2024\/09\/01  04:24         4,002,872 cudnn_cnn64_9.dll  \r\n2023\/11\/30  16:26       582,690,344 cudnn_cnn_infer64_8.dll  \r\n2023\/11\/30  16:26       122,242,104 cudnn_cnn_train64_8.dll  \r\n2024\/09\/01  04:24       432,804,904 cudnn_engines_precompiled64_9.dll  \r\n2024\/09\/01  04:24        16,297,000 cudnn_engines_runtime_compiled64_9.dll  \r\n2024\/09\/01  04:25         2,063,400 cudnn_graph64_9.dll  \r\n2024\/09\/01  04:25        44,681,784 cudnn_heuristic64_9.dll  \r\n2024\/09\/01  04:25       107,492,904 cudnn_ops64_9.dll  \r\n2023\/11\/30  16:26        89,759,272 cudnn_ops_infer64_8.dll  \r\n2023\/11\/30  16:26        70,162,472 cudnn_ops_train64_8.dll  \r\n2024\/08\/15  03:03       275,258,368 cufft64_11.dll  \r\n2024\/08\/15  03:03           163,328 cufftw64_11.dll  \r\n2024\/08\/15  02:45         1,513,984 cuinj64_126.dll  \r\n2024\/08\/15  02:11        11,713,024 cuobjdump.exe  \r\n2024\/08\/15  02:25        63,279,104 curand64_10.dll  \r\n2024\/08\/15  04:12       116,768,256 cusolver64_11.dll  \r\n2024\/08\/15  04:11        77,813,248 cusolverMg64_11.dll  \r\n2024\/08\/15  03:09       287,497,216 cusparse64_12.dll  \r\n2024\/08\/15  02:14           881,664 fatbinary.exe  \r\n2024\/08\/15  03:20           292,352 nppc64_12.dll  \r\n2024\/08\/15  03:20        16,235,008 nppial64_12.dll  \r\n2024\/08\/15  03:20         6,234,624 nppicc64_12.dll  \r\n2024\/08\/15  03:20         9,865,728 nppidei64_12.dll  \r\n2024\/08\/15  03:20        96,892,416 nppif64_12.dll  \r\n2024\/08\/15  03:20        39,228,416 nppig64_12.dll  \r\n2024\/08\/15  03:20         9,341,952 nppim64_12.dll  \r\n2024\/08\/15  03:20        36,831,232 nppist64_12.dll  \r\n2024\/08\/15  03:20           265,728 nppisu64_12.dll  \r\n2024\/08\/15  03:20         4,221,440 nppitc64_12.dll  \r\n2024\/08\/15  03:20        12,687,872 npps64_12.dll  \r\n2024\/08\/15  02:34           331,776 nvblas64_12.dll  \r\n2024\/08\/15  02:14        14,029,824 nvcc.exe  \r\n2024\/08\/15  02:14               343 nvcc.profile  \r\n2024\/08\/15  02:11        50,708,480 nvdisasm.exe  \r\n2024\/08\/15  02:14           838,656 nvfatbin_120_0.dll  \r\n2024\/08\/30  19:47       215,426,088 nvinfer_10.dll  \r\n2024\/08\/30  19:46             5,688 nvinfer_10.lib  \r\n2024\/08\/30  19:48     1,436,593,704 nvinfer_builder_resource_10.dll  \r\n2024\/08\/30  19:47           616,488 nvinfer_dispatch_10.dll  \r\n2024\/08\/30  19:46             4,362 nvinfer_dispatch_10.lib  \r\n2024\/08\/30  19:46        29,457,448 nvinfer_lean_10.dll  \r\n2024\/08\/30  19:46             5,104 nvinfer_lean_10.lib  \r\n2024\/08\/30  19:47        30,986,792 nvinfer_plugin_10.dll  \r\n2024\/08\/30  19:46             2,564 nvinfer_plugin_10.lib  \r\n2024\/08\/30  19:47           565,288 nvinfer_vc_plugin_10.dll  \r\n2024\/08\/30  19:46             2,374 nvinfer_vc_plugin_10.lib  \r\n2024\/08\/15  02:13        38,856,192 nvJitLink_120_0.dll  \r\n2024\/08\/15  02:23         4,901,888 nvjpeg64_12.dll  \r\n2024\/08\/15  02:14        20,608,000 nvlink.exe  \r\n2024\/08\/30  19:47         3,064,872 nvonnxparser_10.dll  \r\n2024\/08\/30  19:46             2,524 nvonnxparser_10.lib  \r\n2024\/08\/15  02:45         2,210,304 nvprof.exe  \r\n2024\/08\/15  02:11           254,464 nvprune.exe  \r\n2024\/08\/15  02:11         5,345,792 nvrtc-builtins64_126.dll  \r\n2024\/08\/15  02:11        45,535,744 nvrtc64_120_0.alt.dll  \r\n2024\/08\/15  02:11        45,475,328 nvrtc64_120_0.dll  \r\n2024\/08\/15  03:45               129 nvvp.bat  \r\n2024\/08\/15  02:14        20,220,416 ptxas.exe  \r\n2024\/08\/15  02:14            84,480 __nvcc_device_query.exe  \r\n71 File(s)  5,612,029,986 bytes  \r\n3 Dir(s)  128,267,644,928 bytes free\r\n<\/code><\/pre>\n<p>\u81f3\u6b64\uff0c\u5c31\u5b8c\u6210\u4e86 Tensorrt10.4 \u7684\u5b89\u88c5\u3002<\/p>\n<h4>\u5b89\u88c5\u548c\u90e8\u7f72FaceFusion3.0.0<\/h4>\n<p>\u9996\u5148\u786e\u4fdd\u672c\u5730\u5df2\u7ecf\u5b89\u88c5\u597d Python3.11 \u7684\u5f00\u53d1\u73af\u5883\uff0c\u968f\u540e\u514b\u9686\u5b98\u65b9\u9879\u76ee:<\/p>\n<pre><code>git clone https:\/\/github.com\/facefusion\/facefusion.git\r\ncd facefusion\r\n<\/code><\/pre>\n<p>\u5b89\u88c5\u57fa\u7840\u4f9d\u8d56:<\/p>\n<pre><code>pip3 install -r requirements.txt\r\n<\/code><\/pre>\n<p>\u63a5\u7740\u5b89\u88c5 onnxruntime-gpu:<\/p>\n<pre><code>pip3 install onnxruntime-gpu\r\n<\/code><\/pre>\n<p>ONNX Runtime-GPU \u662f\u4e00\u4e2a\u9ad8\u6027\u80fd\u7684\u63a8\u7406\u5f15\u64ce\uff0c\u5b83\u80fd\u591f\u8fd0\u884c\u4f7f\u7528 ONNX (Open Neural Network Exchange) \u683c\u5f0f\u8868\u793a\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002 \u5173\u952e\u5728\u4e8e\u201cGPU\u201d\u90e8\u5206\uff0c\u8fd9\u610f\u5473\u7740\u5b83\u4e13\u95e8\u9488\u5bf9 NVIDIA \u7684\u56fe\u5f62\u5904\u7406\u5668 (GPU) \u8fdb\u884c\u4f18\u5316\uff0c\u4ee5\u5b9e\u73b0\u6bd4\u5728 CPU \u4e0a\u8fd0\u884c\u6a21\u578b\u66f4\u5feb\u7684\u901f\u5ea6\u548c\u66f4\u9ad8\u7684\u6548\u7387\u3002<\/p>\n<p>\u6ce8\u610f\u9ed8\u8ba4\u5b89\u88c5\u7684onnxruntime-gpu\u7248\u672c\u662f19.2\uff0c\u5b83\u4e13\u95e8\u662f\u4e3acuda12\u9002\u914d\u7684\u3002<\/p>\n<p>\u5b89\u88c5 tensorrt \u5e93\uff1a<\/p>\n<pre><code>pip3 install tensorrt==10.4.0 --extra-index-url https:\/\/pypi.nvidia.com\r\n<\/code><\/pre>\n<p>\u8fd9\u91cc\u662f\u5b89\u88c5 tensorrt \u7684python3.11\u8fd0\u884c\u5e93<\/p>\n<p>\u6700\u540e\u5b89\u88c5torch:<\/p>\n<pre><code>pip3 install torch torchvision torchaudio --index-url https:\/\/download.pytorch.org\/whl\/cu124\r\n<\/code><\/pre>\n<p>\u6ce8\u610f\u540e\u7f00\u662fcu124\uff0c\u800c\u4e0d\u662fcu118\u6216\u8005cu121<\/p>\n<p>\u5b89\u88c5\u6210\u529f\u540e\uff0c\u8fdb\u5165 python3.11 \u7684\u7ec8\u7aef\uff1a<\/p>\n<pre><code>&gt;&gt;&gt; import onnxruntime as ort  \r\n&gt;&gt;&gt; print(ort.get_available_providers())  \r\n['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']\r\n<\/code><\/pre>\n<p>\u5982\u679c\u4e09\u79cd\u540e\u7aef\u652f\u6301\u90fd\u88ab\u6253\u5370\u51fa\u6765\u4e86\uff0c\u5206\u522b\u662f cpu\u3001cuda\u4ee5\u53caTensorrt \u90a3\u4e48\u8bf4\u660e\u914d\u7f6e\u548c\u5b89\u88c5\u90fd\u6210\u529f\u4e86\u3002<\/p>\n<p>\u8fd0\u884c\u547d\u4ee4:<\/p>\n<pre><code>python3 facefusion.py run\r\n<\/code><\/pre>\n<p>\u8fdb\u5165\u6362\u8138\u4e3b\u754c\u9762:<\/p>\n<p><img decoding=\"async\" title=\"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c-2\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/10\/88ea1529db94b0d.png\" alt=\"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c-2\" \/><\/p>\n<p>\u7531\u4e8e\u6709\u4e86Tensorrt\u7684\u52a0\u6301\uff0c\u4e5f\u652f\u6301\u5b9e\u65f6\u6362\u8138\uff0c\u8fdb\u5165\u6444\u50cf\u5934\u6362\u8138\u754c\u9762\uff1a<\/p>\n<pre><code>python3 facefusion.py run --ui-layouts webcam\r\n<\/code><\/pre>\n<p><img decoding=\"async\" title=\"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c-3\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/10\/87611a1dbbac2b6.png\" alt=\"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c-3\" \/><\/p>\n<p>\u6444\u50cf\u5934\u6362\u8138\u6548\u679c\uff1a<\/p>\n<p><img decoding=\"async\" title=\"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c-4\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/10\/d5237b8f2a9556d.jpg\" alt=\"FaceFusion\uff1a\u89c6\u9891\u6362\u8138\u589e\u5f3a\u5de5\u5177|\u8bed\u97f3\u540c\u6b65\u89c6\u9891\u5634\u578b\u52a8\u4f5c-4\" \/><\/p>\n<p>\u6700\u540e\uff0c\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cFaceFusion3.0.0\u9700\u8981\u672c\u5730\u5b89\u88c5ffmpeg\u8f6f\u4ef6\uff1a<\/p>\n<pre><code>winget install -e --id Gyan.FFmpeg<\/code><\/pre>\n<p>&nbsp;<\/p>\n<p>\u5bf9\u4e8e\u4e0d\u719f\u6089\u547d\u4ee4\u884c\u7684\u7528\u6237\uff0cFaceFusion\u63d0\u4f9b\u4e86Windows\u5b89\u88c5\u7a0b\u5e8f\uff0c\u53ef\u4ee5\u5feb\u901f\u5b8c\u6210\u5b89\u88c5\u8fc7\u7a0b\u3002<\/p>\n<h3>\u4f7f\u7528\u6307\u5357<\/h3>\n<h4>\u57fa\u672c\u64cd\u4f5c<\/h4>\n<ol>\n<li>\u542f\u52a8FaceFusion\uff1a\n<pre><code>python run.py\r\n<\/code><\/pre>\n<\/li>\n<li>\u9009\u62e9\u6e90\u56fe\u50cf\uff1a\u4e0a\u4f20\u5305\u542b\u8981\u66ff\u6362\u7684\u4eba\u8138\u7684\u56fe\u50cf\u3002<\/li>\n<li>\u9009\u62e9\u76ee\u6807\u56fe\u50cf\u6216\u89c6\u9891\uff1a\u4e0a\u4f20\u9700\u8981\u88ab\u66ff\u6362\u4eba\u8138\u7684\u56fe\u50cf\u6216\u89c6\u9891\u3002<\/li>\n<li>\u8c03\u6574\u53c2\u6570\uff1a\u6839\u636e\u9700\u8981\u8c03\u6574\u9762\u90e8\u68c0\u6d4b\u3001\u4ea4\u6362\u6a21\u578b\u3001\u589e\u5f3a\u8bbe\u7f6e\u7b49\u53c2\u6570\u3002<\/li>\n<li>\u5f00\u59cb\u5904\u7406\uff1a\u70b9\u51fb\u201c\u5f00\u59cb\u201d\u6309\u94ae\uff0c\u7b49\u5f85\u5904\u7406\u5b8c\u6210\u3002<\/li>\n<\/ol>\n<h4>\u9ad8\u7ea7\u529f\u80fd<\/h4>\n<ul>\n<li>\u906e\u6321\u5904\u7406\uff1a\n<ul>\n<li>\u542f\u7528\u00a0<code>face_debugger<\/code>\u00a0\u9009\u9879\u3002<\/li>\n<li>\u9009\u62e9\u9002\u5f53\u7684\u906e\u6321\u6a21\u5f0f\uff08box\u3001occlusion\u3001region\uff09\u3002<\/li>\n<li>\u8c03\u6574\u00a0<code>Face Mask Blur<\/code>\u00a0\u53c2\u6570\u4ee5\u4f18\u5316\u906e\u6321\u6548\u679c\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u9ad8\u6e05\u5904\u7406\uff1a\n<ul>\n<li>\u542f\u7528\u00a0<code>face_enhancer<\/code>\u00a0\u9009\u9879\u3002<\/li>\n<li>\u9009\u62e9\u5408\u9002\u7684\u589e\u5f3a\u6a21\u578b\uff0c\u5982GFPGAN1.4\u6216codeformer\u3002<\/li>\n<li>\u8c03\u6574\u00a0<code>Face Detector Size<\/code>\u00a0\u4ee5\u63d0\u9ad8\u7ec6\u8282\u5904\u7406\u80fd\u529b\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u5507\u5f62\u540c\u6b65\uff1a\n<ul>\n<li>\u542f\u7528\u00a0<code>lip_syncer<\/code>\u00a0\u9009\u9879\u3002<\/li>\n<li>\u4e0a\u4f20\u97f3\u9891\u6587\u4ef6\u3002<\/li>\n<li>\u9009\u62e9\u5408\u9002\u7684\u5507\u5f62\u540c\u6b65\u6a21\u578b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>\u5b9e\u7528\u6280\u5de7<\/h3>\n<ul>\n<li>\u6027\u80fd\u4f18\u5316\uff1a\n<ul>\n<li>\u6839\u636e\u663e\u5361\u7c7b\u578b\u9009\u62e9\u5408\u9002\u7684\u00a0<code>Execution Provider<\/code>\uff08NVIDIA\u7528CUDA\uff0cAMD\u7528DirectML\uff09\u3002<\/li>\n<li>\u8c03\u6574\u00a0<code>Execution Thread Count<\/code>\u00a0\u4ee5\u5e73\u8861\u5904\u7406\u901f\u5ea6\u548c\u5185\u5b58\u4f7f\u7528\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u591a\u4eba\u8138\u5904\u7406\uff1a\n<ul>\n<li>\u4f7f\u7528\u00a0<code>Face Selector Mode<\/code>\u00a0\u9009\u62e9\u5904\u7406\u5355\u4e2a\u6216\u591a\u4e2a\u4eba\u8138\u3002<\/li>\n<li>\u8c03\u6574\u00a0<code>Reference Face Distance<\/code>\u00a0\u53c2\u6570\u4ee5\u63d0\u9ad8\u591a\u89d2\u5ea6\u4eba\u8138\u7684\u5339\u914d\u7cbe\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u5361\u901a\u4eba\u8138\u5904\u7406\uff1a\n<ul>\n<li>\u4f7f\u7528\u00a0<code>simswap_256<\/code>\u00a0\u6a21\u578b\u8fdb\u884c\u5361\u901a\u4eba\u8138\u66ff\u6362\u3002<\/li>\n<li>\u542f\u7528\u00a0<code>face_enhancer<\/code>\u00a0\u5e76\u91cd\u70b9\u589e\u5f3a\u773c\u775b\u3001\u9f3b\u5b50\u548c\u5634\u5df4\u533a\u57df\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>\u5e38\u89c1\u95ee\u9898\u89e3\u7b54<\/h3>\n<ul>\n<li><strong>FaceFusion\u652f\u6301\u5b9e\u65f6\u5904\u7406\u5417\uff1f<\/strong>\u00a0\u76ee\u524dFaceFusion\u4e3b\u8981\u9488\u5bf9\u79bb\u7ebf\u5904\u7406\u4f18\u5316\uff0c\u4f46\u901a\u8fc7\u8c03\u6574\u53c2\u6570\u53ef\u4ee5\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002<\/li>\n<li><strong>\u5982\u4f55\u63d0\u9ad8\u6362\u8138\u6548\u679c\u7684\u81ea\u7136\u5ea6\uff1f<\/strong>\u00a0\u53ef\u4ee5\u5c1d\u8bd5\u8c03\u6574\u00a0<code>Face Mask Blur<\/code>\u00a0\u53c2\u6570\uff0c\u5e76\u4f7f\u7528\u9ad8\u8d28\u91cf\u7684\u6e90\u56fe\u50cf\u3002\u540c\u65f6\uff0c\u542f\u7528\u00a0<code>face_enhancer<\/code>\u00a0\u53ef\u4ee5\u8fdb\u4e00\u6b65\u6539\u5584\u6548\u679c\u3002<\/li>\n<li><strong>FaceFusion\u662f\u5426\u652f\u6301\u6279\u91cf\u5904\u7406\uff1f<\/strong>\u00a0\u662f\u7684\uff0cFaceFusion\u652f\u6301\u6279\u91cf\u5904\u7406\u56fe\u50cf\u548c\u89c6\u9891\u3002\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4\u884c\u53c2\u6570\u6216\u56fe\u5f62\u754c\u9762\u8fdb\u884c\u8bbe\u7f6e\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u672c\u5730\u4e00\u952e\u5b89\u88c5\u5305\/\u5728\u7ebf\u4f53\u9a8c<\/h2>\n<p><div class=\"huoduan_hide_box\" style=\"border:1px dashed #F60; padding:10px; margin:10px 0; line-height:200%; color:#F00; background-color:#FFF4FF; overflow:hidden; clear:both;\"><img loading=\"lazy\" decoding=\"async\" class=\"wxpic\" align=\"right\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/d8668ed8023fbe2.jpg\" style=\"width:150px;height:150px;margin-left:20px;display:inline;border:none\" width=\"150\" height=\"150\"  alt=\"AI\u751f\u4ea7\u529b\u5e94\u7528\" \/><span style=\"font-size:18px;\">\u6b64\u5904\u5185\u5bb9\u5df2\u7ecf\u88ab\u4f5c\u8005\u9690\u85cf\uff0c\u8bf7\u8f93\u5165\u9a8c\u8bc1\u7801\u67e5\u770b\u5185\u5bb9<\/span><form method=\"post\" style=\"margin:10px 0;\"><span class=\"yzts\" style=\"font-size:18px;float:left;\">\u9a8c\u8bc1\u7801\uff1a<\/span><input name=\"huoduan_verifycode\" id=\"verifycode\" type=\"text\" value=\"\" style=\"border:none;float:left;width:80px; height:32px; line-height:30px; padding:0 5px; border:1px solid #FF6600;-moz-border-radius: 0px;  -webkit-border-radius: 0px;  border-radius:0px;\" \/><input id=\"verifybtn\" style=\"border:none;float:left;width:80px; height:32px; line-height:32px; padding:0 5px; background-color:#F60; text-align:center; border:none; cursor:pointer; color:#FFF;-moz-border-radius: 0px; font-size:14px;  -webkit-border-radius: 0px;  border-radius:0px;\" name=\"\" type=\"submit\" value=\"\u63d0\u4ea4\u67e5\u770b\" \/><\/form><div style=\"clear:left;\"><\/div><span style=\"color:#00BF30\">\u8bf7\u5173\u6ce8\u672c\u7ad9\u5fae\u4fe1\u516c\u4f17\u53f7\uff0c\u56de\u590d\u201c<span style=\"color:blue\">\u9a8c\u8bc1\u7801<\/span>\u201d\uff0c\u83b7\u53d6\u9a8c\u8bc1\u7801\u3002\u5728\u5fae\u4fe1\u91cc\u641c\u7d22\u201c<span style=\"color:blue\">AI\u751f\u4ea7\u529b\u5e94\u7528<\/span>\u201d\u6216\u8005\u201c<span style=\"color:blue\">Artificial9527<\/span>\u201d\u6216\u8005\u5fae\u4fe1\u626b\u63cf\u53f3\u4fa7\u4e8c\u7ef4\u7801\u90fd\u53ef\u4ee5\u5173\u6ce8\u672c\u7ad9\u5fae\u4fe1\u516c\u4f17\u53f7\u3002<\/span><div class=\"cl\"><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>FaceFusion\u662f\u4e00\u4e2a\u96c6\u6210\u4e86\u9762\u90e8\u4ea4\u6362\u4e0e\u589e\u5f3a\u529f\u80fd\u7684\u5148\u8fdb\u4e91\u5e73\u53f0\uff0c\u4f18\u5316\u4e86\u201c\u56fe\u50cf\u5230\u89c6\u9891\u201d\u3001\u201c\u56fe\u50cf\u5230\u56fe\u50cf\u201d\u7684\u4ea4\u6362\u8fc7\u7a0b\uff0c\u5e76\u62e5\u67095\u4e2a\u4e13\u4e1a\u6a21\u578b\uff0c\u4ee5\u786e\u4fdd\u65e0\u7455\u7684\u8f93\u51fa\u3002\u6b64\u5916\uff0c\u5b83\u901a\u8fc77\u79cd\u6a21\u578b\u8fdb\u884c\u9762\u90e8\u589e\u5f3a\uff0c\u4f7f\u75283\u79cd\u4e0d\u540c\u6a21\u578b\u63d0\u5347\u89c6\u9891\u548c\u56fe\u7247\u8d28\u91cf\uff0c\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u5f3a\u5927\u7684\u529f&#8230;<\/p>\n","protected":false},"author":1,"featured_media":32782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[444,418],"tags":[230,246],"class_list":["post-5736","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-face-swapping","category-ai-life","tag-aikaiyuanxiangmu","tag-aishipinhuanlian"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/5736","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/comments?post=5736"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/5736\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/32782"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=5736"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=5736"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=5736"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}