Reply To: Whitch resolution is good enough?

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#7742
defalafa
Participant

    always use a pretrained model – you need > 600k pre-training before start you regular model training, so don´t start from scratch

    go the the model secection use a 256 res model – try 256 DF-UDT F or WF ( face / whole face ) unsing default dims and start with random warp , batch 6 , remember to check using a downloaded model first time – set iter = 0 an pre training = N or the model will stay in pre training mode

    look for something like this

    ==———————- Model Options ———————-==
    == ==
    == resolution: 256 ==
    == face_type: f ==
    == models_opt_on_gpu: True ==
    == archi: df-udt ==
    == ae_dims: 256 ==
    == e_dims: 64 ==
    == d_dims: 64 ==
    == d_mask_dims: 22 ==
    == masked_training: True ==
    == eyes_mouth_prio: False ==
    == uniform_yaw: False ==
    == blur_out_mask: False ==
    == adabelief: True ==
    == lr_dropout: n ==
    == random_warp: True ==
    == random_hsv_power: 0.0 ==
    == true_face_power: 0.0 ==
    == face_style_power: 0.0 ==
    == bg_style_power: 0.0 ==
    == ct_mode: rct ==
    == clipgrad: False ==
    == pretrain: False ==
    == autobackup_hour: 0 ==
    == write_preview_history: False ==
    == target_iter: 0 ==
    == random_src_flip: False ==
    == random_dst_flip: True ==
    == batch_size: 6 ==
    == gan_power: 0.0 ==
    == gan_patch_size: 32 ==
    == gan_dims: 16 ==
    == ==