SAEHD_DFUD_ 512_wf_280万迭代次数模型分享(搬运)
RTT SAEHD DF-UD WF 512 256 64 80 22国内很多512模型都是在此模型基础上训练的,280万迭代次数需要训练好长时间才能达到
================== Model Summary ===================
== ==
== Model name: 512DFUD_SAEHD ==
== ==
== Current iteration: 2825602 ==
== ==
==---------------- Model Options -----------------==
== ==
== resolution: 512 ==
== face_type: wf ==
== models_opt_on_gpu: True ==
== archi: df-ud ==
== ae_dims: 256 ==
== e_dims: 64 ==
== d_dims: 80 ==
== d_mask_dims: 22 ==
== masked_training: True ==
== uniform_yaw: True ==
== lr_dropout: y ==
== random_warp: False ==
== gan_power: 0.1 ==
== true_face_power: 0.0 ==
== face_style_power: 0.0 ==
== bg_style_power: 0.0 ==
== ct_mode: rct ==
== clipgrad: True ==
== pretrain: False ==
== autobackup_hour: 0 ==
== write_preview_history: True ==
== target_iter: 5000000 ==
== random_flip: False ==
== batch_size: 8 ==
== eyes_mouth_prio: True ==
== blur_out_mask: True ==
== adabelief: True ==
== random_hsv_power: 0.0 ==
== random_src_flip: False ==
== random_dst_flip: True ==
== gan_patch_size: 64 ==
== gan_dims: 16 ==
== ==
==------------------ Running On ------------------==
== ==
== Device index: 0 ==
== Name: NVIDIA GeForce RTX 3090 ==
== VRAM: 21.15GB ==
== ==
====================================================
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512太大了,用不了 感谢分享 谢谢分享 存钱下载 111111111111111 这个三维参数是不是太低了? SAEHD_DFUD_ 512_wf_280万迭代次数模型
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