{"id":85,"date":"2019-03-11T22:10:40","date_gmt":"2019-03-11T14:10:40","guid":{"rendered":"https:\/\/www.deepfakescn.com\/?p=85"},"modified":"2019-10-19T08:43:25","modified_gmt":"2019-10-19T00:43:25","slug":"deepfacelab%e5%b0%8f%e7%99%bd%e5%85%a5%e9%97%a8%ef%bc%887%ef%bc%89%ef%bc%9a%e5%8f%82%e6%95%b0%e8%af%b4%e6%98%8e%ef%bc%81","status":"publish","type":"post","link":"https:\/\/www.deepfaker.xyz\/?p=85","title":{"rendered":"DeepFaceLab\u8fdb\u9636\uff081\uff09\uff1a\u53c2\u6570\u8bf4\u660e\u4e2d\u6587\u7248\uff01"},"content":{"rendered":"

\u5b66\u4f1a\u4e86\u57fa\u672c\u64cd\u4f5c\u4e4b\u540e\uff0c\u4f60\u51fa\u6765\u7684\u6548\u679c\u4e5f\u8bb8\u5e76\u4e0d\u7406\u60f3\u3002\u6216\u8005\u8bf4\u4f60\u9700\u8981\u5728\u901f\u5ea6\u548c\u6027\u80fd\u4e4b\u95f4\u505a\u4e00\u4e2a\u5e73\u8861\uff0c\u6216\u8005\u4f60\u60f3\u8981\u66f4\u9ad8\u7684\u6e05\u6670\uff0c\u66f4\u52a0\u5b8c\u7f8e\u7684\u878d\u5408\u6548\u679c\u3002\u8fd9\u4e2a\u65f6\u5019\u4f60\u5c31\u9700\u8981\u81ea\u5df1\u53bb\u8bbe\u7f6e\u53c2\u6570\u4e86\u3002<\/p>\n

\"\"<\/p>\n

DeepFaceLab \u63d0\u4f9b\u4e86\u5f88\u591a\u53ef\u4ee5\u8bbe\u7f6e\u7684\u53c2\u6570\u3002\u4f46\u662f\u5927\u90e8\u5206\u4eba\u53ef\u80fd\u5e76\u4e0d\u660e\u767d\u5176\u80cc\u540e\u7684\u542b\u4e49\uff0c\u54ea\u6015\u662f\u80fd\u770b\u61c2\u5b83\u7684\u82f1\u6587\u5355\u8bcd\uff0c\u672a\u5fc5\u771f\u7684\u61c2\u8fd9\u4e2a\u53c2\u6570\u80cc\u540e\u7684\u610f\u4e49\u3002\u4e0b\u9762\u7ed3\u5408\u8f6f\u4ef6\u4f5c\u8005\u7684\u673a\u7ffb\u82f1\u6587\u6587\u6863\u548c\u81ea\u5df1\u7684\u7ecf\u9a8c\u505a\u4e00\u4e9b\u53c2\u6570\u8bb2\u89e3\u3002 \u56e0\u4e3a\u5b98\u65b9\u82f1\u6587\u6587\u6863\u672c\u6765\u5c31\u662f\u4fc4\u8bed\u673a\u7ffb\u6210\u82f1\u8bed\uff0c\u7136\u540e\u518d\u7ffb\u8bd1\u6210\u4e2d\u6587\uff0c\u8fd9\u5176\u4e2d\u96be\u514d\u6709\u8c2c\u8bef\uff0c\u52a0\u4e0a\u5f88\u591a\u4e13\u4e1a\u7684\u672f\u8bed\u65e0\u5904\u53ef\u67e5\uff0c\u6240\u4ee5\u53ea\u80fd\u5c06\u5c31\u4e86\u3002\u8c01\u6709\u66f4\u597d\u7684\uff0c\u66f4\u8d34\u5207\u7684\u7ffb\u8bd1\u8bf7\u7fa4\u91ccAT\uff0c\u6211\u4f1a\u66f4\u65b0\u4e0a\u53bb\u3002<\/p>\n

 <\/p>\n

DeepFaceLab\u53c2\u6570\u4e3b\u8981\u53ef\u4ee5\u5206\u4e3a\u4ee5\u4e0b\u51e0\u7c7b\uff1a<\/p>\n

    \n
  1. \u6a21\u578b\u53c2\u6570\uff08train\uff09<\/strong><\/li>\n
  2. \u5408\u6210\u53c2\u6570\uff08convert\uff09<\/strong><\/li>\n
  3. \u5176\u4ed6\u53c2\u6570\uff08extract , convert to mp4\uff09<\/strong><\/li>\n<\/ol>\n

     <\/p>\n

    1.\u6a21\u578b\u53c2\u6570<\/strong><\/h1>\n

    \u6a21\u578b\u53c2\u6570\uff0c\u6839\u636e\u6a21\u578b\u4e0d\u540c\uff0c\u5404\u6709\u4e0d\u540c\uff0c\u6709\u4e00\u4e9b\u53c2\u6570\u662f\u9002\u7528\u4e8e\u6240\u6709\u6a21\u578b\u3002 \u8fd9\u5176\u4e2d\u6709\u4e9b\u53c2\u6570\u53ea\u6709\u521d\u59cb\u5316\u7684\u65f6\u5019\u53ef\u4ee5\u8bbe\u7f6e\uff0c\u6709\u4e9b\u53c2\u6570\u53ef\u4ee5\u8fdb\u884c\u4fee\u6539\u3002\u4e0b\u9762\u5c31\u4e00\u6761\u4e00\u6761\u6765\u8bf4\u660e\u3002<\/p>\n

    Which GPU idx to choose? (Skip: system choice):<\/h3>\n

    \u8be5\u9009\u9879\u9488\u5bf9\u591a\u5361\u7528\u6237\uff0c\u53ef\u4ee5\u4efb\u6027\u5176\u4e00\uff0c\u9ed8\u8ba4\u7cfb\u7edf\u81ea\u5df1\u914d\u7f6e\u597d\u7684\uff0c\u6ce8\u610fDFL\u662f\u6ca1\u529e\u6cd5\u540c\u65f6\u7528\u591a\u5361\u8bad\u7ec3\u7684\uff01<\/p>\n

    Write preview history? (Y \/ n skip: n):<\/h3>\n

    \u662f\u5426\u4fdd\u5b58\u5386\u53f2\u9884\u89c8\u56fe\uff0c\u9ed8\u8ba4\u4e0d\u4fdd\u5b58\u3002<\/p>\n

    Choose image for the preview history? (Y \/ n skip: n):<\/h3>\n

    \u9009\u62e9\u9884\u89c8\u56fe\u50cf\uff0c\u9ed8\u8ba4\u4e0d\u542f\u7528\u3002<\/p>\n

    Target iteration (skip: unlimited):<\/h3>\n

    \u76ee\u6807\u8fed\u4ee3\u6b21\u6570\uff0c\u9ed8\u8ba4\u65e0\u9650\u6b21\u3002 \u901a\u8fc7\u8fd9\u4e2a\u53c2\u6570\u4f60\u53ef\u4ee5\u63a7\u5236\u6a21\u578b\u7684\u8bad\u7ec3\u6b21\u6570\uff0c\u6bd4\u5982\u8bbe\u5b9a10000\u6b21\uff0c\u90a3\u4e48\u5230\u4e86\u8fd9\u4e2a\u6570\u5b57\u540e\u81ea\u52a8\u505c\u6b62\u3002<\/p>\n

    Batch_size (skip: model choice):<\/h3>\n

    \u6279\u91cf\u5927\u5c0f, \u9ed8\u8ba4\u4e3a4\u3002 \u5bf9\u4e8e\u8fd9\u4e2a\u53c2\u6570\u666e\u904d\u5171\u8bc6\u662f\u5728\u786c\u4ef6\u5141\u8bb8\u7684\u60c5\u51b5\u4e0b\u8d8a\u5927\u8d8a\u597d\uff0c\u90092\u7684n\u6b21\u65b9\u6700\u4f73\u3002\u503c\u8d8a\u5927\u6536\u655b\u8d8a\u5feb\uff0c\u4f46\u662f\u5355\u6b21\u8fed\u4ee3\u65f6\u95f4\u8d8a\u957f\u3002<\/p>\n

    Feed faces to network sorted by yaw? (Y \/ n skip: n):<\/h3>\n

    \u628a\u6254\u8fdb\u795e\u7ecf\u7f51\u7edc\u7684\u8138\u56fe\u6839\u636e\u4fa7\u8138\u89d2\u5ea6\u8fdb\u884c\u6392\u5e8f\uff0c\u9ed8\u8ba4\u4e0d\u542f\u7528\u3002\u4f5c\u8005\u5c1a\u672a\u9a8c\u8bc1\u5bf9\u6548\u679c\u6709\u591a\u5c11\u5f71\u54cd\u3002<\/p>\n

    Flip faces randomly? (Y \/ n:? Help skip: y):<\/h3>\n

    \u8138\u90e8\u53cd\u8f6c\uff0c\u9ed8\u8ba4\u542f\u7528\u3002 \u8fd9\u4e2a\u53c2\u6570\u611f\u89c9\u662f\u6bd4\u8f83\u6709\u7528\u7684\u3002 \u5b83\u53ef\u4ee5\u521b\u9020\u66f4\u591a\u89d2\u5ea6\u7684\u6570\u636e\u3002\u6bd4\u5982\u672c\u6765\u53ea\u6709\u53f3\u4fa7\u8138\uff0c\u53cd\u8f6c\u540e\u5de6\u4fa7\u8138\u4e5f\u6709\u4e86\u3002<\/p>\n

    Src face scale modifier% (-30 … 30,:? Help skip: 0):<\/h3>\n

    \u7f29\u653e\u6e90\u5934\u50cf\uff08src\uff09\u5927\u5c0f\u3002\u9ed8\u8ba4\u4e0d\u7f29\u653e\u3002 \u5982\u679c src\u8138\u6bd4dst\u8138\u5bbd\uff0c\u53ef\u4ee5\u7a0d\u5fae\u7f29\u5c0f\u8fd9\u4e2a\u503c\u3002<\/p>\n

    Press enter in 2 seconds to override some model settings<\/h3>\n

    \u4e24\u79d2\u5185\u6309\u56de\u8f66\u952e\uff08Enter\uff09\uff0c\u8fdb\u5165\u6a21\u578b\u8bbe\u7f6e\u3002\u53ef\u4ee5\u4fee\u6539BS\u7b49\u53c2\u6570\u3002\u8fd9\u4e2a\u4e3b\u8981\u7528\u4e8e\u4e8c\u6b21\u542f\u52a8\u662f\u8c03\u6574\u6a21\u578b\u53c2\u6570\u3002<\/p>\n

     <\/p>\n

    options for H64 and H128:<\/h2>\n

    H64\u548cH128\u7684\u5171\u6709\u53c2\u6570<\/p>\n

    Use lightweight autoencoder? (Y \/ n,:? Help skip: n):<\/h3>\n

    \u4f7f\u7528\u8f7b\u91cf\u7ea7\u7f16\u7801\u5668\uff0c\u9ed8\u8ba4\u4e0d\u542f\u52a8\u3002 \u8fd9\u4e2a\u53c2\u6570\u4e3b\u8981\u662f\u4e3a\u4e86\u90a3\u4e9b\u663e\u5b58\u4e0d\u591f\u7684\u4eba\u3002\u6bd4\u59823G\uff0c4G\u5185\u5b58\uff0c\u5982\u679c\u9ed8\u8ba4\u53c2\u6570\u8dd1\u6b65\u8d77\u6765\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u5f00\u542f\u8f7b\u91cf\u7ea7\u7f16\u7801\u5668\u3002\u8f7b\u91cf\u7ea7\u4f1a\u727a\u7272\u4e00\u4e9b\u8d28\u91cf\uff0c\u4f46\u662f\u7cfb\u7edf\u8d44\u6e90\u6d88\u8017\u5c11\uff0c\u8fed\u4ee3\u5feb\u3002<\/p>\n

    options H64, H128, DF, LIAEF128 models:<\/h2>\n

    H64,H128,DF ,LIAEF128\u5171\u6709\u53c2\u6570<\/p>\n

    Use pixel loss? (Y \/ n,:? Help skip: n \/ default):<\/h3>\n

    \u4f7f\u7528\u50cf\u7d20\u4e22\u5931\uff0c\u9ed8\u8ba4\u4e0d\u542f\u7528\u3002\u53ef\u4ee5\u6539\u5584\u7ec6\u8282\uff0c\u6d88\u9664\u6296\u52a8\u3002\u4ec5\u57282\u4e07\u6b21\u4e4b\u540e\u542f\u7528\u3002\u7ecf\u53cd\u9988\uff0c\u53ef\u80fd\u4f1a\u63d0\u5347\u6a21\u578b\u5d29\u6e83\u7684\u6982\u7387\u3002<\/p>\n

     <\/p>\n

    options only for SAE model:<\/h2>\n

    SAE\u6a21\u578b\u7684\u53c2\u6570\u3002<\/p>\n

    Resolution (64-256:? Help skip: 128):<\/h3>\n

    \u50cf\u7d20\uff0c\u6570\u503c\u8d8a\u9ad8\uff0c\u9700\u8981\u8d8a\u591a\u663e\u5b58\uff0c\u9700\u8981\u66f4\u957f\u7684\u8bad\u7ec3\u65f6\u95f4\u3002\u4f60\u53ef\u4ee5\u9009\u62e964\u5230256\u4e4b\u95f4\u7684\u6570\u503c\uff0c\u8fd9\u4e2a\u6570\u5b57\u5e94\u8be5\u662f16\u7684\u500d\u6570\u3002256\u8fd9\u6837\u7684\u6570\u503c\u5f88\u5c11\u6709\u7535\u8111\u80fd\u8dd1\uff0c\u4e00\u822c\u5efa\u8bae128\u3002<\/p>\n

    Half or Full face? (H \/ f,:? Help skip: f):<\/h3>\n

    \u534a\u8138\u8fd8\u662f\u5168\u8138\uff0c\u9ed8\u8ba4\u88ab\u5168\u8138\u3002 \u6ce8\u610f\uff0c\u8fd9\u4e24\u4e2a\u7684\u5dee\u522b\u5e76\u4e0d\u662f\u7709\u6bdb\uff0c\u800c\u662f\u6a2a\u5411\u533a\u57df\u3002<\/p>\n

    Learn mask? (Y \/ n,:? Help skip: y):<\/h3>\n

    \u662f\u5426\u5b66\u4e60\u906e\u7f69\/\u9762\u5177\uff1f\uff08\u7ffb\u8bd1\u4e0d\u91cd\u8981\uff0c\u53cd\u6b63\u5c31\u662fmask\uff09\u3002 \u9ed8\u8ba4\u542f\u7528\uff01<\/p>\n

    Optimizer mode? (1,2,3:? Help skip:% d):<\/h3>\n

    \u4f18\u5316\u6a21\u5f0f\uff0c\u8fd9\u4e2a\u9009\u9879\u4ec5\u9488\u5bf9N\u5361\u3002 1\u4e3a\u9ed8\u8ba4\uff0c2 \u5141\u8bb8\u4f60\u8bad\u7ec3x2\u7f51\u7edc\uff0c\u9700\u8981\u66f4\u591a\u5185\u5b58\uff0c3\u5141\u8bb8\u4f60\u8bad\u7ec3x3\u7f51\u7edc\uff0c\u9700\u8981\u66f4\u591a\u5185\u5b58\uff0c\u5e76\u4e14\u616230%\u3002<\/p>\n

    \u8fd9\u4e2a\u53c2\u6570\u5176\u5b9e\u4e3b\u8981\u662f\u4e3a\u4e86\u89e3\u51b3\u663e\u5b58\u592a\u5c0f\u7684\u95ee\u9898\u3002\u4f7f\u75282\u548c3\u6a21\u5f0f\u53ef\u4ee5\u5171\u4eab\u5185\u5b58\u3002\u53eb\u505a\uff0c\u663e\u5b58\u4e0d\u591f\uff0c\u5185\u5b58\u6765\u51d1\u3002<\/p>\n

    AE architecture (df, liae, vg:? Help skip: df):<\/h3>\n

    \u795e\u7ecf\u7f51\u7edc\u7684\u4f53\u7cfb\u7ed3\u6784\u7c7b\u578b\u3002\u9ed8\u8ba4\u4e3adf \uff0c \u53ef\u9009df,liae,vg\u3002\u00a0 \u8fd9\u91cc\u4e3b\u8981\u4f7f\u7528DF\u548cLiae\uff0c\u5176\u5b9e\u8fd9\u4e2a\u53c2\u6570\u5c31\u662f\u5bf9\u5e94\u4e86DF\u548cLIAE\u6a21\u578b\u3002<\/p>\n

    AutoEncoder dims (128-1024:? Help skip:% d):<\/h3>\n

    \u7f16\u7801\u5668\u7f51\u7edc\u89c4\u6a21\uff0c\u4e00\u822c\u7528\u9ed8\u8ba4\u3002\u6240\u6709\u7684\u8138\u90e8\u7279\u5f81\u90fd\u4f1a\u88ab\u6254\u8fdb\u8fd9\u4e2a\u7f51\u7edc\uff0c\u5982\u679c\u8fd9\u4e2a\u6570\u503c\u4e0d\u591f\uff0c\u6709\u4e9b\u7ec6\u8282\u5c31\u65e0\u6cd5\u8bc6\u522b\uff0c\u6bd4\u5982\u95ed\u773c\u3002\u8fd9\u4e2a\u503c\u8d8a\u9ad8\u8d8a\u597d\u3002\u4f46\u662f\u8fd9\u4e2a\u5c5e\u6027\u975e\u5e38\u8017\u914d\u7f6e\uff0c\u592a\u9ad8\u4e86\u5c31\u4f1aOOM\u8dd1\u4e0d\u8d77\u6765\u3002<\/p>\n

    Encoder dims per channel (21-85:? Help skip:% d)<\/h3>\n

    \u6bcf\u4e2a \u901a\u9053\u7684\u7f16\u7801\u5668\u7f51\u7edc\u89c4\u6a21\uff0c\u5927\u56fe\u5927\u53c2\u6570\uff0c\u5176\u4ed6\u539f\u7406\u540c\u4e0a<\/p>\n

     <\/p>\n

    Decoder dims per channel (11-85:? Help skip:% d)<\/h3>\n

    \u6bcf\u4e2a \u901a\u9053\u7684\u89e3\u7801\u5668\u7f51\u7edc\u89c4\u6a21\uff0c\u8d8a\u5927\u8d8a\u6709\u5229\u4e8e\u63d0\u5347\u7ec6\u8282\uff0c\u5176\u4ed6\u539f\u7406\u540c\u4e0a<\/p>\n

     <\/p>\n

    Remove gray border? (Y \/ n,:? Help skip: n):<\/h3>\n

    \u79fb\u51fa\u7070\u8fb9\u3002\u9ed8\u8ba4\u4e0d\u542f\u7528\u3002\u5982\u679c\u542f\u7528\u9700\u8981\u6d88\u8017\u66f4\u591a\u786c\u4ef6\u8d44\u6e90\u3002\u53ef\u80fd\u4f1a\u589e\u52a0\u6a21\u578b\u5d29\u6e83\u7684\u6982\u7387<\/p>\n

    Use CA weights? (Y \/ n,:? Help skip:% s):<\/h3>\n

    \u4f7f\u7528CA\u53c2\u6570\u521d\u59cb\u5316\u7f51\u7edc\uff0c\u6709\u5f88\u591a\u4f18\u70b9\uff0c\u53ef\u4ee5\u53c2\u8003Convolution Aware\u7684\u76f8\u5173\u8bba\u6587\uff0c\u6bd4\u5982\u63d0\u5347\u6a21\u578b\u7cbe\u5ea6\u3002\u4f46\u662f\uff0c\u9996\u6b21\u4f7f\u7528\u6bd4\u8f83\u6162\uff0c\u91cd\u8981\u7684\u662f\u4f1a\u589e\u52a0\u6a21\u578b\u5d29\u6e83\u7684\u6982\u7387!!!<\/p>\n

     <\/p>\n

    Use multiscale decoder? (Y \/ n,:? Help skip: n):<\/h3>\n

    \u4f7f\u7528\u591a\u7ef4\u5ea6\u89e3\u7801\u5668\uff0c\u63d0\u5347\u7ec6\u8282\u3002\u4e00\u822c\u4e0d\u7528\uff01<\/p>\n

    Use pixel loss? (Y \/ n,:? Help skip: n \/ default)<\/h3>\n

    \u4f7f\u7528\u50cf\u7d20\u4e22\u5931\uff0c\u9ed8\u8ba4\u4e0d\u542f\u7528\u3002\u53ef\u4ee5\u6539\u5584\u7ec6\u8282\uff0c\u6d88\u9664\u6296\u52a8\u3002\u4ec5\u57282\u4e07\u6b21\u4e4b\u540e\u542f\u7528\u3002\u7ecf\u53cd\u9988\uff0c\u53ef\u80fd\u4f1a\u63d0\u5347\u6a21\u578b\u5d29\u6e83\u7684\u6982\u7387\u3002<\/p>\n

    Face style power (0.0 .. 100.0:? Help skip:% 1f.):<\/h3>\n

    \u5b66\u4e60\u4eba\u7269\u98ce\u683c\uff0c\u6bd4\u5982\u5149\u7167\u548c\u989c\u8272\u3002\u9ed8\u8ba4\u4e3a0\uff0c\u542f\u7528\u8fd9\u4e2a\u53c2\u6570\u4f1a\u589e\u52a0\u6a21\u578b\u5d29\u6e83\u7684\u6982\u7387<\/p>\n

    Background style power (0.0 .. 100.0:? Help skip:% 1f.):<\/h3>\n

    \u5b66\u4e60\u4eba\u8138\u5468\u56f4\u7684\u80cc\u666f\uff0c\u9ed8\u8ba4\u4e3a0\uff0c\u00a0\u542f\u7528\u8fd9\u4e2a\u53c2\u6570\u4f1a\u589e\u52a0\u6a21\u578b\u5d29\u6e83\u7684\u6982\u7387<\/p>\n

    Apply random color transfer to src faceset? (Y \/ n,:? Help skip:% s):<\/h3>\n

    \u4f7f\u7528\u968f\u673a\u989c\u8272\u3002\u901a\u8fc7\u6539\u53d8src\u8138\u90e8\u989c\u8272\u589e\u52a0\u7d20\u6750\u591a\u6837\u6027\u3002\u8fd9\u4e00\u70b9\u548cFace style pover\u7c7b\u4f3c\u3002\u53ea\u662f\u989c\u8272\u53d8\u5316\u66f4\u52a0\u7cbe\u51c6\uff0c\u540c\u65f6\u4e0d\u9700\u8981\u66f4\u591aGPU\u8d44\u6e90\u3002<\/p>\n

    Pretrain the model? (Y \/ n,:? Help skip: n):<\/h3>\n

    \u662f\u5426\u542f\u7528\u6a21\u578b\u9884\u8bad\u7ec3\uff0c\u9ed8\u8ba4\u4e0d\u542f\u52a8\u3002\u8f6f\u4ef6\u81ea\u5e26\u4e86\u5927\u91cf\u4eba\u8138\u96c6\u5408\uff0c\u901a\u8fc7\u9884\u8bad\u7ec3\uff0c\u589e\u52a0\u6a21\u578b\u7684\u53d8\u5f62\u80fd\u529b\uff0c\u8bad\u7ec3\u8d8a\u957f\uff0c\u8d8a\u5f3a\u3002 \u4ec5\u5728\u7b2c\u4e00\u6b21\u8fdb\u5165\u9884\u8bad\u7ec3\uff0c\u7b2c\u4e8c\u6b21\u542f\u52a8\u6a21\u578b\uff0c\u4e0d\u4f1a\u8fdb\u5165\u9884\u8bad\u7ec3\uff0c\u76f4\u63a5\u8fdb\u5165\u6b63\u5e38\u6a21\u5f0f\u3002<\/p>\n

    2.\u5408\u6210\u53c2\u6570<\/strong><\/h1>\n

     <\/p>\n

    \"\"<\/p>\n

     <\/p>\n

    \u4e0a\u56fe\u5927\u81f4\u5c55\u793a\u4e86\u4eba\u8138\u5408\u6210\u7684\u539f\u7406\u3002\u8fd9\u4e00\u90e8\u662f\u8981\u5bf9\u4eba\u8138\u8fdb\u884c\u66ff\u6362\u548c\u878d\u5408\u3002\u878d\u5408\u7684\u4e3b\u8981\u65b9\u5f0f\u6709overlay, hist-match,seamless\u7b49\u3002 \u8fd9\u4e2a\u73af\u8282\u4e5f\u6709\u4e0d\u5c11\u7684\u53c2\u6570\uff0c\u8fd9\u4e9b\u53c2\u6570\u4f1a\u76f4\u63a5\u5f71\u54cd\u6700\u7ec8\u6548\u679c\u3002<\/p>\n

    Choose mode: (1) overlay, (2) hist match, (3) hist match bw, (4) seamless (default), (5) raw:<\/h3>\n

    \u9009\u62e9\u878d\u5408\u6a21\u5f0f\u3002\u4e0d\u540c\u7684\u878d\u5408\u65b9\u5f0f\uff0c\u4f7f\u7528\u4e86\u4e0d\u540c\u7684\u7b97\u6cd5\u3002<\/p>\n

    \"\"<\/p>\n

    \u4e0a\u9762\u662f\u5404\u79cd\u7c7b\u578b\u7684\u8bf4\u660e\uff0c\u4f46\u662f\u5373\u4fbf\u76f4\u63a5\u7ffb\u8bd1\u8fc7\u6765\u4e5f\u6ca1\u51e0\u4e2a\u4eba\u660e\u767d\uff0c\u8fd8\u4e0d\u5982\u770b\u82f1\u6587\u5355\u8bcd\u53bb\u627e\u8d44\u6599\u3002\u57fa\u672c\u4e0a\u6bcf\u4e2a\u7c7b\u578b\u5c31\u4ee3\u8868\u7740\u67d0\u79cd\u7b97\u6cd5\uff0c\u81f3\u4e8e\u54ea\u79cd\u7b97\u6cd5\u597d\uff0c\u4f60\u53ef\u4ee5\u81ea\u5df1\u53bb\u8bd5\u4e00\u8bd5\u3002\u6a21\u5f0f2\u548c\u6a21\u578b4\u6bd4\u8f83\u5e38\u7528\u3002<\/p>\n

    Seamless hist match? (Y \/ n skip: n):<\/h3>\n

    \u662f\u5426\u542f\u7528\u65e0\u7f1d\u76f4\u65b9\u56fe\u5747\u8861\uff1f \u9ed8\u8ba4\u4e0d\u542f\u7528\u3002<\/p>\n

    Masked hist match? (Y \/ n skip: y):<\/h3>\n

    For modes hist match, hist match bw, seamless, indicates whether the histogram equalize the mask face.<\/p>\n

     <\/p>\n

    Mask mode: (1) learned, (2) dst, (3) FAN-prd, (4) FAN-dst (5) FAN-prd * dst (6) learned * FAN-prd * FAN-dst help (?) . Default – 1:<\/h3>\n

    \"\"<\/p>\n

    \u906e\u7f69\u6a21\u5f0f
    \nLearned \uff1aLearnedmask if you have selected the option Learn mask. The contours of the mask mitigated, but
    \ncan sometimes shake.<\/p>\n

    DST\uff1acrude mask obtained directly from individuals dst, so quivering contours of the mask.<\/p>\n

    FAN-prd \uff1aMask received predtrenirovannoy DEV_FANSEG model of the predicted face. Facial contours
    \nare not trembling.<\/p>\n

    FAN-dst \uff1aMask received predtrenirovannoy DEV_FANSEG model of dst face. Facial contours are not
    \ntrembling.<\/p>\n

    FAN-prd *dst\uff1athe mask obtained by multiplying the FAN-prd and FAN-dst<\/p>\n

    learned * FAN-prd * FAN-dst\uff1aa mask obtained by multiplying the learned, FAN-prd and FAN\u0002dst<\/p>\n

    \u8fd9\u51e0\u79cd\u6a21\u5f0f\uff0c\u4ece\u7ecf\u9a8c\u6765\u770b\uff0c\u9ed8\u8ba4\u7684\u7b2c\u4e00\u79cd\u4f3c\u4e4e\u6700\u5dee\uff0c\u5efa\u8bae\u90092\uff0c\u540e\u9762\u76843,4,5,6 \u6548\u679c\u6709\u63d0\u5347\uff0c\u4f46\u662f\u8f6c\u6362\u901f\u5ea6\u4f1a\u6162\u5f88\u591a\u3002\u5728\u4f7f\u7528\u4e86Fanseg\u6a21\u578b\u906e\u7f69\u4e4b\u540e\uff0c\u5fc5\u987b\u4f7f\u7528\u5e26\u6709FAN\u7684\u6a21\u578b\u624d\u80fd\u751f\u6548\u3002<\/p>\n

     <\/p>\n

    Choose erode mask modifier [-200..200] (default 0):<\/h3>\n

    \"\"<\/p>\n

    \n
    \n
    \n
    \n
    \n
    <\/div>\n<\/div>\n<\/div>\n
    \n
    \u9009\u62e9\u4fb5\u8680\u8499\u7248\u4fee\u6539\u5668\uff0c\u9ed8\u8ba4\u503c\u4e3a0\uff0c\u53d6\u503c\u8303\u56f4 -200\u5230200\u3002 \u8be5\u9009\u9879\u544a\u8bc9\u7a0b\u5e8f\u5982\u4f55\u63a7\u5236DST\u906e\u7f69\u7684\u5927\u5c0f\u3002 \u5982\u679c\u503c\u5c0f\u4e8e0\uff0c\u4ee3\u8868\u6269\u5c55\u906e\u7f69\u3002\u8fd9\u662f\u4e00\u4e2a\u76f8\u5bf9\u503c\uff0c\u5e76\u975e\u7edd\u5bf9\u503c\u3002\u4e0a\u56fe\u5c55\u793a\u4e86\u4e0d\u540c\u6570\u503c\u4e0b\u5408\u6210\u6548\u679c\u3002<\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

    \u8fd9\u4e2a\u9009\u9879\u53ef\u4ee5\u51cf\u5f31Seamless \u6a21\u5f0f\u7684\u95ea\u70c1\u95ee\u9898\u3002<\/p>\n

     <\/p>\n

    Choose blur mask modifier [-200..200] (default 0):<\/h3>\n

    \"\"<\/p>\n

    \u9009\u62e9\u6a21\u7cca\u8499\u7248\u4fee\u6539\u5668\uff0c\u901a\u8fc7\u8fd9\u4e2a\u503c\u4f60\u53ef\u4ee5\u6307\u5b9a\u906e\u7f69\u7684\u5e73\u6ed1\u5ea6\u3002<\/p>\n

    \u9ed8\u8ba4\u503c\u4e3a0\uff0c\u4e0a\u56fe\u5c55\u793a\u4e86-200\u548c200\u7684\u5408\u6210\u6548\u679c\u3002<\/p>\n

    \u9002\u5f53\u8c03\u6574\u8fd9\u4e2a\u503c\uff0c\u53ef\u4ee5\u8ba9\u8fb9\u7f18\u770b\u8d77\u6765\u66f4\u52a0\u81ea\u7136\u3002<\/p>\n

     <\/p>\n

    Hist match threshold. [0..255] (default – 255):<\/h3>\n

     <\/p>\n

    \"\"<\/p>\n

    \u76f4\u65b9\u56fe\u5339\u914d\u9608\u503c\uff0c\u9ed8\u8ba4\u4e3a255. \u53ef\u9009\u533a\u95f40-255\u3002 \u9002\u5f53\u964d\u4f4e\u8be5\u503c\uff0c\u53ef\u4ee5\u89e3\u51b3\u4eae\u6591\u7684\u95ee\u9898\u3002<\/p>\n

    Choose output face scale modifier [-50..50] (default 0):<\/h3>\n

    \"\"<\/p>\n

    \u56fe\u7247\u7f29\u653e\u6bd4\u4f8b\u8bbe\u7f6e\u3002\u9ed8\u8ba40\u4e0d\u7f29\u653e\u3002 \u53d6\u503c\u8303\u56f4\uff1a-50 ~50 \u3002\u8fd9\u4e2a\u53c2\u6570\u975e\u5e38\u6e05\u6670\uff0c\u65e0\u9700\u591a\u8bf4\u3002\u8d1f\u503c\u4ee3\u8868\u7f29\u5c0f\uff0c\u6b63\u503c\u4ee3\u8868\u653e\u5927\u3002<\/p>\n

     <\/p>\n

    Apply color transfer to predicted face? Choose mode (rct \/ lct skip: None):<\/h3>\n

    \"\"<\/p>\n

    \u662f\u5426\u4f7f\u7528rct\u6216lct\u7b97\u6cd5\u8fdb\u4e00\u6b65\u8c03\u6574\u80a4\u8272\uff1f \u9ed8\u8ba4\u4e0d\u542f\u7528\u3002\u53ef\u9009RCT\u548cLCT\u3002 \u7528\u4e86\u4e4b\u540e\u4f3c\u4e4e\u6709\u70b9\u5634\u5507\u53d1\u7d2b\u3002\u53ef\u4ee5\u66f4\u5177\u5b9e\u9645\u60c5\u51b5\u9009\u62e9\u662f\u5426\u542f\u7528\uff0c\u52c7rct\u8fd8\u662flct \u3002<\/p>\n

     <\/p>\n

    Apply super resolution? (Y \/ n skip: n):<\/h3>\n

    \"\"<\/p>\n

    \u662f\u5426\u8bf7\u7528\u65e0\u635f\u653e\u5927\u3002\u9ed8\u8ba4\u4e0d\u542f\u7528\u3002\u8fd9\u91cc\u4f7f\u7528\u4e86\u4e00\u79cd\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u65e0\u635f\u653e\u5927\u65b9\u6848\uff0c\u53ef\u4ee5\u4f7f\u56fe\u7247\u653e\u5927\u65f6\u5019\u770b\u8d77\u6765\u4e0d\u6a21\u7cca\uff0c\u633a\u6709\u7528\uff01<\/p>\n

    Degrade color power of final image [0..100] (default 0):<\/h3>\n

    \"\"<\/h3>\n

    \u964d\u4f4e\u6700\u7ec8\u56fe\u50cf\u7684\u8272\u5f69\u80fd\u529b\uff0c\u9ed8\u8ba4\u4e3a0\uff0c\u53d6\u503c\u533a\u95f4 0~100\u3002<\/p>\n

    \u901a\u8fc7\u964d\u4f4e\u56fe\u6807\u8d28\u91cf\uff0c\u53ef\u4ee5\u63a9\u76d6\u90e8\u5206\u7455\u75b5\u3002<\/p>\n

    Export png with alpha channel? [0..1] (default 0):<\/h3>\n

    \u5bfc\u51fa\u900f\u660e\u901a\u9053\uff0c\u4fbf\u4e8e\u901a\u8fc7\u89c6\u9891\u8f6f\u4ef6\u8fdb\u884c\u540e\u671f\u5236\u4f5c\u3002<\/p>\n

     <\/p>\n

    3.\u5176\u4ed6\u53c2\u6570<\/strong><\/h1>\n

    \u5f85\u66f4\u65b0\uff01<\/p>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

    \u5b66\u4f1a\u4e86\u57fa\u672c\u64cd\u4f5c\u4e4b\u540e\uff0c\u4f60\u51fa\u6765\u7684\u6548\u679c\u4e5f\u8bb8\u5e76\u4e0d\u7406\u60f3\u3002\u6216\u8005\u8bf4\u4f60\u9700\u8981\u5728\u901f\u5ea6\u548c\u6027\u80fd\u4e4b\u95f4\u505a\u4e00\u4e2a\u5e73\u8861\uff0c\u6216\u8005\u4f60\u60f3\u8981\u66f4\u9ad8\u7684\u6e05\u6670\uff0c\u66f4 […]<\/p>\n","protected":false},"author":1,"featured_media":94,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4,3],"tags":[12,10],"_links":{"self":[{"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=\/wp\/v2\/posts\/85"}],"collection":[{"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=85"}],"version-history":[{"count":18,"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=\/wp\/v2\/posts\/85\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=\/wp\/v2\/posts\/85\/revisions\/1239"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=\/wp\/v2\/media\/94"}],"wp:attachment":[{"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=85"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=85"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deepfaker.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=85"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}