Hi,

I'm using 4*3090 nvidia graphic cards and It feels really slow comparing to other guys that training on youtube.

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I downloaded a pre-trained nodel and I'm getting around 2000ms per iteration

using windows

cpu 10900X

256 ram

4*3090

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================== Model Summary ===================

== ==

== Model name: DF-UD320F_SAEHD ==

== ==

== Current iteration: 1554677 ==

== ==

==---------------- Model Options -----------------==

== ==

== resolution: 320 ==

== face_type: f ==

== models_opt_on_gpu: True ==

== archi: df-ud ==

== ae_dims: 416 ==

== e_dims: 104 ==

== d_dims: 104 ==

== d_mask_dims: 16 ==

== masked_training: True ==

== eyes_mouth_prio: False ==

== uniform_yaw: False ==

== adabelief: True ==

== lr_dropout: y ==

== random_warp: False ==

== true_face_power: 0.0 ==

== face_style_power: 0.0 ==

== bg_style_power: 0.0 ==

== ct_mode: none ==

== clipgrad: True ==

== pretrain: False ==

== autobackup_hour: 0 ==

== write_preview_history: False ==

== target_iter: 0 ==

== random_flip: False ==

== batch_size: 4 ==

== gan_power: 0.01 ==

== gan_patch_size: 60 ==

== gan_dims: 30 ==

== random_src_flip: False ==

== random_dst_flip: False ==

== blur_out_mask: False ==

== random_hsv_power: 0.0 ==

== ==

==------------------ Running On ------------------==

== ==

== Device index: 0 ==

== Name: NVIDIA GeForce RTX 3090 ==

== VRAM: 21.15GB ==

== Device index: 1 ==

== Name: NVIDIA GeForce RTX 3090 ==

== VRAM: 21.15GB ==

== Device index: 2 ==

== Name: NVIDIA GeForce RTX 3090 ==

== VRAM: 21.15GB ==

== Device index: 3 ==

== Name: NVIDIA GeForce RTX 3090 ==

== VRAM: 21.15GB ==

== ==

Starting. Press "Enter" to stop training and save model.

[15:04:14][#1555404][2147ms][0.4260][0.7865]

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