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license: openrail
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This is my attempt at creating a truely open source SDXL model that people might be interested in using....
and perhaps copying the spirit and creating other open source models.
I'm including EVERYTHING I used to create my onegirl200 model:
* The images
* The captions
* The OneTrainer json preset file
* And my specific method i used to get here.

I've been playing around with the thousands of images I've filtered so far from danbooro, at
https://huggingface.co/datasets/ppbrown/danbooru-cleaned
So, the images here are a strict subset of those images. 
I also used the tagging ALMOST as-is: I only added one tag:  "anime"

I was initially playing around with loras, to see which combination of images did best.
Previously, I spent a LOT of time experimenting with training and getting nowhere, so I decided to stick with adaptive ones.
Sadly, even a 4090 cant do a finetune of SDXL with an adaptive optimizer, which is why I was training Loras.

My results were very mixed. Eventually, I figured out that stable diffusion, while seemingly magic, 
cannot TRUELY figure out "good" anime style, if you throw a whole bunch of MIXED styles at it. So I decided to
drastically change my strategy, and throw out everything that was not strictly in one style.

Once I got down to <200 images images, and had a reasonable lora, I decided to give a full finetune a try, "the hard way"
(ie: no adaptive optimizer)

So, I played with the learning rate a little, and.. that was it?
Nope!

I was training with 100 epoch, and having onetrainer do an image sample every few epochs. But, due to disk space, 
I was only doing saves every 20 or so.

When I looked back at the images,