224-wf-df-d林允儿专人模型丹（神丹基础上训练一百多万次）

masiqun · 发表于 2023-2-12 00:27:47

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本帖最后由 masiqun 于 2023-2-14 08:37 编辑

使用猫之汉化的神丹（https://dfldata.xyz/forum.php?mod=viewthread&tid=4290）进行训练了一百多万次，使用的是自己切出来的林允儿的图片，来自于高清电影以及youtube视频，资源附赠src已经切好的图片

训练过程遵守滚石教程中的步骤，先开随机扭曲，关学习，小样本，然后开学习，然后关随机扭曲，大样本，开眼嘴优化，以及大角度优化，最后开gan训练

切图照片：

模型参数：

============================= Model Summary =============================
==                                                                   ==
==          Model name: yoona4g可用模型_SAEHD                         ==
==                                                                   ==
==    Current iteration: 1033897                                     ==
==                                                                   ==
==--------------------------- Model Options ---------------------------==
==                                                                   ==
==          resolution: 224                                        ==
==          face_type: wf                                        ==
==    models_opt_on_gpu: True                                        ==
==                archi: df-d                                        ==
==             ae_dims: 192                                        ==
==             e_dims: 48                                        ==
==             d_dims: 48                                        ==
==          d_mask_dims: 16                                        ==
==    masked_training: True                                        ==
==    eyes_mouth_prio: True                                        ==
==          uniform_yaw: True                                        ==
==       blur_out_mask: False                                     ==
==          adabelief: True                                        ==
==          lr_dropout: y                                           ==
==          random_warp: False                                     ==
==    random_hsv_power: 0.05                                        ==
==    true_face_power: 0.0                                        ==
==    face_style_power: 0.0                                        ==
==       bg_style_power: 0.0                                        ==
==             ct_mode: lct                                        ==
==             clipgrad: True                                        ==
==             pretrain: False                                     ==
==    autobackup_hour: 6                                           ==
== write_preview_history: False                                     ==
==          target_iter: 0                                           ==
==    random_src_flip: False                                     ==
==    random_dst_flip: False                                     ==
==          batch_size: 12                                        ==
==          gan_power: 0.0                                        ==
==       gan_patch_size: 28                                        ==
==             gan_dims: 16                                        ==
==             猫之汉化免费丹 : 564646676                                  ==
==                盗卖死妈: 生孩子全身都是痔疮                                  ==
==                请自重！: 请自重！                                        ==
==                AI王子: dapixiao                                  ==
==                西行之巅: 奥贝赛维                                        ==
==             都是死妈骗子: 小心！                                        ==
==                                                                   ==
==---------------------------- Running On -----------------------------==
==                                                                   ==
==       Device index: 0                                           ==
==                Name: NVIDIA GeForce GTX 1660 Ti with Max-Q Design ==
==                VRAM: 4.53GB                                     ==
==                                                                   ==
=========================================================================

日本老师的效果图我就不放了，刚才放了被删帖了

因为大家都想看预览图，我这里打了马赛克不知道行不行