X-Ray Vision (see through anything)

If there's interest in this I'll do a better job. There's nothing wrong with this particular LoRA but I see a lot of potential and it inspires other ideas that I'll be focusing on. This could have used more training data but let's call it a proof of concept, I actually didn't know if it would work because similar things I've done had no effect at all.

This LoRA is intended to produce images taken through a special see through device, we're calling it X-Ray, where part of the clothing is missing in order to see undergarments and nudity.

Some of the trained terms that were used, though they probably don't matter with current architecture..

X-Ray boobs
X-Ray bra
X-Ray panties
X-Ray pelvis
X-Ray underwear
X-Ray nude
Clothed
Nude

I sent it through the trainer up to around 8k steps and for a couple of hours I tried to generate consistent images with some difficult scenarios but the prompts were just not magical enough. I sent it back through for almost 20k steps and, after some testing, I chose around 12k as the compromise between sledge hammer and getting something useful. I know I could have had an easier time, and wasted LESS time, had I just generated more training images but the process wasn't so easy, here's what I did...

I created some nudes, half with Illustrious and half with Z-Image-Turbo.

I then brought it over to Qwen Image Edit 2509 and prompted to add clothing, both outer and inner (underwear).

I took that into an image editor, lately I've gone back to Gimp, getting away from PS, Affinity wars, and just put the dressed versions on top, masking out a this and a that, exposing different sections, saving images of those manipulations.

I originally intended to make an X-Ray vision person where the eye beams would penetrate the clothing but I hung onto that idea for 2 days and didn't get anywhere, my brain just didn't want to get that complicated, so I just gave in and took a more simpler approach.

I kept the clothed and nudes in the training data, captioned them all with simple terms and then let JOY-C fiddle with it to give the context some weight.

Using OneTrainer: I guess the most important factors are defaults, rank 32, alpha 1, 2 repeats and batch size of 1.