AMP-224-524W的DFM直播模型，效果见秋香圆圆回眸笑！

superkent · 发表于 2023-9-20 14:46:02

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1、底丹为https://dfldata.cc/forum.php?mod ... &extra=page%3D1，放入model
2、万能遮罩放入model，对src和dst应用镇坛之宝万能遮罩
3、点击6) 训练AMP模型 train AMP，修炼九九八十一的小时开炉即成！

================== Model Summary ===================
==                                              ==
==          Model name: AMPSRCSRC_AMP          ==
==                                              ==
==    Current iteration: 5247521                ==
==                                              ==
==---------------- Model Options -----------------==
==                                              ==
==          resolution: 224                   ==
==          face_type: wf                   ==
==    models_opt_on_gpu: True                   ==
==             ae_dims: 512                   ==
==          inter_dims: 1024                   ==
==             e_dims: 64                   ==
==             d_dims: 64                   ==
==          d_mask_dims: 22                   ==
==       morph_factor: 0.5                   ==
==          uniform_yaw: True                   ==
==       blur_out_mask: False                ==
==          lr_dropout: n                      ==
==          random_warp: False                ==
==             ct_mode: rct                   ==
==             clipgrad: True                   ==
==    autobackup_hour: 0                      ==
== write_preview_history: True                   ==
==          target_iter: 0                      ==
==    random_src_flip: False                ==
==    random_dst_flip: False                ==
==          batch_size: 8                      ==
==          gan_power: 0.1                   ==
==       gan_patch_size: 28                   ==
==             gan_dims: 16                   ==
==                                              ==
==------------------ Running On ------------------==
==                                              ==
==       Device index: 0                      ==
==                Name: NVIDIA GeForce RTX 4090 ==
==                VRAM: 20.85GB                ==
==                                              ==