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README.md
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license: openrail
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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....
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and perhaps copying the spirit and creating other open source models.
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I'm including EVERYTHING I used to create my onegirl200 model:
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* The images
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* The captions
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* The OneTrainer json preset file
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* And my specific method i used to get here.
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I've been playing around with the thousands of images I've filtered so far from danbooro, at
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https://huggingface.co/datasets/ppbrown/danbooru-cleaned
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So, the images here are a strict subset of those images.
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I also used the tagging ALMOST as-is: I only added one tag: "anime"
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I was initially playing around with loras, to see which combination of images did best.
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Previously, I spent a LOT of time experimenting with training and getting nowhere, so I decided to stick with adaptive ones.
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Sadly, even a 4090 cant do a finetune of SDXL with an adaptive optimizer, which is why I was training Loras.
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My results were very mixed. Eventually, I figured out that stable diffusion, while seemingly magic,
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cannot TRUELY figure out "good" anime style, if you throw a whole bunch of MIXED styles at it. So I decided to
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drastically change my strategy, and throw out everything that was not strictly in one style.
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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"
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(ie: no adaptive optimizer)
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So, I played with the learning rate a little, and.. that was it?
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Nope!
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I was training with 100 epoch, and having onetrainer do an image sample every few epochs. But, due to disk space,
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I was only doing saves every 20 or so.
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When I looked back at the images,
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