Hi guys! I’ve never created a video with Deepfacelab before. First of all, I heard that if I do pretraining, it will be faster and easier every time I make a df video. When I open the Deepfacelab folder, I directly run the 6) train SAEHD file. But I get an error at the last part because of the values I entered.
I can’t find out why I’m getting this error. I’m about to go crazy…
[n] Enable pretraining mode ( y/n ?:help ) : y
Initializing models: 80%|##################################################4 | 4/5 [01:31<00:22, 22.88s/it]
Error: OOM when allocating tensor with shape[131072,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node src_dst_opt/ms_inter_AB/dense1/weight_0/Assign (defined at C:\Users\Ersin\Desktop\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_build_11_20_2021\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\core\leras\optimizers\AdaBelief.py:37) ]]
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.
My System Features:
My Graphics Card: RTX 3060
11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz 2.30 GHz
RAM: 16GB