I am currently testing on a older pc with i5 8600, 8GB RAM and a 1060 3GB, which is capable of training at low res only.
I use my laptop with docking station all the time, so the pc is not really getting used much. (I don't game on the pc)
Thinking of upgrade to a "newer" used card since on a budget, between 1070 8GB and 1660 6GB(similar price point)
1 ) which will perform better for faceswap?
2) How much benefit will I see compared to my 1060 3GB?
3) Will either work using with the more expensive Villian training mode?
Also how much benefit we'll see by upgrading ram from 8gb to 16gb?
Thanks a lot.
For GPU Ive been looking at this graph to get a general Idea
I dunno what I'm doing
RTX 3090 : RTX 3070 : RTX 3060 : RTX: 2070 : Ghetto 1060
My word is final
That's a tough one. Personally I would take RAM over speed, but someone else might equally say the opposite.
My view is that as long as you can fit the model in VRAM, then it doesn't matter how long it will take.
My word is final
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I am, as torzdf said, going to disagree with him. I would rather have the speed of the 2060 and using mixed precision more than gets back that lost vram. However, if you can find an extra $50-100 you can get a 2060 super and get both 8gb and tensorcores. (I know that's not always possible, but I list it for those where it is).
Thanks for the responses. Not much clarity, but plenty to think about. With divided opinions, it seems I can’t completely wrong with either option so that calmed some worries
Again, thanks for the help.