For some reason people seem to prefer loras over full checkpoint, so as an experiment I decide to make a lora based on the same dataset that I used for the model https://civitai.com/models/7848/onimai-characters
Civitai does not allow me to mark the repository as both full checkpoint and lora so I can only create a new one for this.
Naturally I am able to get the characters trained but not the styles. Unlike the full checkpoint, the outfits are not learned either.
For more details please see https://huggingface.co/alea31415/onimai-characters
I would still suggest using the full model if you want more characters, or more fidelity to the styles and outfits. Remember that you can always alter the style by merging models.

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I don't need support or credit, but I would be glad to know that you are using the models I trained and find it useful.

Moreover, I would like to advocate for more franchise models.

You can take a look at my workflow https://github.com/cyber-meow/anime_screenshot_pipeline if you are interested.

I just want to spread the fact that there is no reason to encode a single concept in each lora.