用了几个买来的底丹
每个都显示这样的报错
seahd 设置放评论
如果有人需要底丹我也可以分享出来

[0] Which GPU indexes to choose? :
0
Press enter in 2 seconds to override model settings.
[0] Autobackup every N hour ( 0..24 ?:help ) :
0
[n] Write preview history ( y/n ?:help ) :
n
[0] Target iteration :
0
[n] Flip SRC faces randomly ( y/n ?:help ) :
n
[n] Flip DST faces randomly ( y/n ?:help ) :
n
[8] Batch_size ( ?:help ) : 4
4
[y] Masked training ( y/n ?:help ) :
y
[n] Eyes and mouth priority ( y/n ?:help ) :
n
[n] Uniform yaw distribution of samples ( y/n ?:help ) :
n
[n] Blur out mask ( y/n ?:help ) :
n
[y] Place models and optimizer on GPU ( y/n ?:help ) :
y
[y] Use AdaBelief optimizer? ( y/n ?:help ) :
y
[n] Use learning rate dropout ( n/y/cpu ?:help ) :
n
[y] Enable random warp of samples ( y/n ?:help ) :
y
[0.0] Random hue/saturation/light intensity ( 0.0 .. 0.3 ?:help ) :
0.0
[0.0] GAN power ( 0.0 .. 5.0 ?:help ) :
0.0
[0.0] 'True face' power. ( 0.0000 .. 1.0 ?:help ) :
0.0
[0.0] Face style power ( 0.0..100.0 ?:help ) :
0.0
[0.0] Background style power ( 0.0..100.0 ?:help ) :
0.0
[none] Color transfer for src faceset ( none/rct/lct/mkl/idt/sot ?:help ) :
none
[n] Enable gradient clipping ( y/n ?:help ) :
n
[n] Enable pretraining mode ( y/n ?:help ) :
n

(0) Resource exhausted: failed to allocate memory
[[node mul_75 (defined at E:\Deepface\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\core\leras\optimizers\AdaBelief.py:63) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.

报错是显存不足，也有可能是虚拟内存不足导致的。

显存太小，跑不动大分辨的

很明显，显存不够，你这个是6g的，丹的分辨率最多只能跑192的，再高就跑不起来了

可以私我底丹吗？谢谢。
我的8g内存也经常跑步了很多丹，你要看分辨率200多的，然后还有一个ae什么的参数也最后两百多的丹才能跑起来，ae_参数要到那个txt里面去看

可以私吗

可以私我底丹吗？谢谢。

可以分享丹底吗谢谢喵