Experimenting With OneTrainer - OneTrainer vs Kohya - Realism vs Stylization - Reg images vs No-Reg images

Big improvements to realism. Is there a runpod installer script for OneTrainer?

you can train on Pixart using onetrain, i just started the training not sure about the results

Did you get a chance to test with the face masking feature?

Any chance to get a SD 1.5 config?

I love my Kohya, no ty. If I wanna generalization, I just train on sdxl dpo... I believe style loras are better without generalization.

Do you explain anywhere how you incorporated reg images? Did you just make a concept for "Regularisation images", put 3k images in there w/o captions (or maybe a single caption txt file w/ the class name? ie "Person"?) Also have you used captions or a single caption txt for your trials so far? I got really nice results w/ your configs already, but I only put a simple txt file w/ the subject (trigger) name in it - I never captioned w/ kohya for single likenesses. Lastly, per the developer in that thread you created on their github I tried mask traininng last night and had good results. I used the "remgb" option and it quickly made masks for just the person - pretty cool. Do you know in that case if it just looks at the person, or does it look at both but can differentiate better? I don't believe Kohya has a masking feature so I wanted to try it. I'm so glad you picked this to look into. I see others asking for different things, but for me this is the best topic you've taken on after Kohya's training. Plus the OT developer is so active that I'm sure he'll be very quick to add support for future models (OT supports PicsArt training, Wurscher training, etc - dev is all in w/ the different models).