【搬运】外网高质量模型 256_F_df-ud

k16576 · 发表于 2022-10-14 15:18:39

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平均分:5 参与人数:1 我的评分:未评

本帖最后由 k16576 于 2022-10-27 16:25 编辑

外网发布的高质量256f脸模型，亲测效果真的很不错，几分钟就能看到效果，三维参数比较高，6g显存勉强可以用，感觉论坛大家最近积极性不高，分享一个带动一下气氛 0.0

最近检测链接失效不知道是什么情况，但链接是可用的，请放心购买

================= Model Summary =================
==                                           ==
==          Model name: DF-UD256_SAEHD    ==
==                                           ==
==    Current iteration: 698354             ==
==                                           ==
==--------------- Model Options ---------------==
==                                           ==
==          resolution: 256                ==
==          face_type: f                   ==
==    models_opt_on_gpu: True                ==
==                archi: df-ud             ==
==             ae_dims: 352                ==
==             e_dims: 88                ==
==             d_dims: 88                ==
==          d_mask_dims: 28                ==
==    masked_training: True                ==
==          eyes_prio: False             ==
==          uniform_yaw: True                ==
==          lr_dropout: y                   ==
==          random_warp: False             ==
==          gan_power: 0.01                ==
==    true_face_power: 0.0                ==
==    face_style_power: 0.0                ==
==       bg_style_power: 0.0                ==
==             ct_mode: none                ==
==             clipgrad: False             ==
==             pretrain: False             ==
==    autobackup_hour: 0                   ==
== write_preview_history: False             ==
==          target_iter: 0                   ==
==          random_flip: False             ==
==          batch_size: 16                ==
==                                           ==
==---------------- Running On -----------------==
==                                           ==
==       Device index: 0                   ==
==                Name: Tesla V100-SXM2-16GB ==
==                VRAM: 15.75GB             ==
==                                           ==
=================================================