So after looking over my model and the training data of some other LORAs, I determined that the issue causing the overblown look was that I had set the batch size for my training far too high as well as over trained the model. I also removed some images from my dataset that contributed to the overexposure issue and added some replacements. I am proud to say that this version produces much better looking faces as well as overall more realistic images. However, as the example images show, some character or expressions may mess with the realism factor, leading to some funny looking half-anime, half realistic results. I have tested the model on multiple different samplers at different CFG levels and DPM++ 2M SDE Karras at 16 steps with a CFG of four and Euler Ancestral at 30 steps with a CFG of around 7 seem to work best. For full body shots you may still need to use ADetailer to fix face, as if often messes up the eyes depending on the character. To trigger the model, simply use either "source_photo" or "source photo" and then your prompt, like you would with any other pony source. The model seems to work at a strength of around 1.0, but you can lower it a bit if you want to use it with other loras. Ive also tested it on multiple checkpoints, from base pony to more realistic ones, and it gives pretty decent results across all of them, and is quite capable of generating stuff like animals and vehicles.