I was tired of not getting sharp results from my training sessions.
After hours past creating photosets, aligning marks, refining masks, and doing several tests with several models, resolutions, batch sizes and settings, I just was getting frustrated with this. "How do they do it?" I wondered. "How people get those creations with cards about the same as mine?" And I'm talking about a GTX1070 with 8GB, and I mean real as linux says, 8GB instead of 6Gb because of the Windows 10 feature of reserving 2GB of your VRAM -- or more.
Well, I had read that disabling warping in the last stage of traing could potentially improve sharpness and detail. And boy, that changed death to life, night to day and sadness to hapiness!!
So my current attempt has been training a dataset up to ~100K iterations with unbalanced model, 128 pixels, batch size 16 (although I could use 24 but I read somewhere that I should use only 2 ^ X values).
And from there, I disabled warping and the loss drop considerably, and now I'm getting details in the pictures while reaching 200K iterations, that I simply hadn't got in my >600K, a long week, sessions!!
I still have a lot to learn and to improve, but this is just encouraging. A whole 180 degree turn from my previous experience.
So as rule of thumb, with well prepared and quality datasets and after enough training, "disable warp" is mandatory instead of recommended -- at least for me.
Thanks all for reading and the team for the software.