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When converting, the src face does not get the mouth as open as the dst one.
Hi all. Just a quickie: Are there troubles with wide open mouths, even when masks and facesets do detect them ?
some quick numbers 1.0 x 2.0, 192res, liae, default dims, batch 6 on a 2080ti: opt2 on 1.0: 1.3s --- GPU on 2.0: 0.4s. CPU on 2.0: 0.9s (CPU 8700k 4.9ghz)
Hell, just got both Schumacher and Vettel in the same preview, running integrated pre-trainer. Gonna be a good year for Ferrari Tongue
it's on 1.0 and I tested it with everything off, and yes I'm already at the end of my training
If you notice in the DFL 2.0 spreadsheet there is a 2nd one, I'm running some tests to determine impact on performance of changing dims and turinign various features on, once it's done I'll try to see if it can work on other GPU/RAM configurations and make an iteractive calculator with it.
It's just how it works, previews are what you want to look at.
I'm on DF, 500 iteration (batch 19) losses at 0.9-1.01
me? dfhd
That's weird, it asks for architecture even when resuign training on already trained model... why?
To get here in the past (192 res, batch 8, default dimms) it would take me around 300k iterations.
This performance increase is nuts. Im not even sure its correct yet.
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are you testing GAN on 1 or something between 0.1-10 and are you testing it with other features enabled such as true face or style powers/learned mask?
T4s are so slow too ?
ya, I havent messed with it yet
But it's supposed to be turned on at the very end once you are pretty much done training so
the new GAN setting seems to slow down iterations, went from 1600ms to 7000ms on a T4
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