Hi guys,
so i spent 2 days now and i am not that familiar with this stuff, so i don't know what else to try.
I have a Nvidia Quadro P5000 graphics Card with 16gb vram which should be perfect for deepfakes..but i am barely getting 1k epoch per hour...it is really super slow. As i read some People get 10k per hour with an GTX 1070, based on the Cards, i'd assume the P5000 should perform better. It has the same amount of cuda cores as an GTX 1080.
Drivers are updated, using the prebuild DeepFacelab.
Might the batch size be an issue?
The above quoted result took 1,5hrs so far!
I appreciate any help!
so i spent 2 days now and i am not that familiar with this stuff, so i don't know what else to try.
I have a Nvidia Quadro P5000 graphics Card with 16gb vram which should be perfect for deepfakes..but i am barely getting 1k epoch per hour...it is really super slow. As i read some People get 10k per hour with an GTX 1070, based on the Cards, i'd assume the P5000 should perform better. It has the same amount of cuda cores as an GTX 1080.
Drivers are updated, using the prebuild DeepFacelab.
===== Model summary =====
== Model name: MIAEF128
==
== Current epoch: 846
==
== Options:
== |== batch_size : 48
== |== multi_gpu : False
== |== created_vram_gb : 16
== Running on:
== |== [0 : Quadro P5000]
=========================
Starting. Press "Enter" to stop training and save model.
Training [#000881][2800ms] loss_src:0.067 loss_dst:0.067
Might the batch size be an issue?
The above quoted result took 1,5hrs so far!
I appreciate any help!