OshiNoKo-characters-LoHa/LoCon/FullCkpt 推しの子 || Hoshino Ai / Hoshino Aquamarine / Hoshino Ruby / Arima Kana / Saito Miyako / Kurokawa Akane / Kotobuki Minami / Shiranui Frill / Sumi Yuki / ...
Type | |
Stats | 899 |
Reviews | (124) |
Published | May 6, 2023 |
Base Model | |
Training | Steps: 30,000 |
Trigger Words | See description |
Hash | AutoV2 2EB7D0E2D2 |
UPDATE: Following the common practice, the most recent version is trained on NAI with clip skip 2
The advantage of my models is clearly the ability to put multiple characters in a same image
(I was considering training a full model with the same dataset as well, but the LoHa seems to be reasonably good at this point
The other models are otherwise trained on ACertainty
Please check the version notes for further details including the clip skip to use
Normally you should be able to use the lycoris models on a lot of different checkpoints. In case of incompatibility, you can lower lycoris weight or better, merge your base model with AC/nai.
More checkpoints can be found on the associated hugging face repository https://huggingface.co/alea31415/oshinoko
Screenshots and fan arts are respectively tagged with aniscreen and fanart. Using aniscreen gives both stronger anime style and better resemblance. Using aniscreen on style models may cause weird effects.
You may want to use ; to separate characters (see the prompts of the example images)
Characters
EP01
HoshinoAi (add hair ornament if you want)
AmemiyaGoro
TendojiSarina
Aquamarine baby
Aquamarine child
Aquamarine
Ruby baby
Ruby child
Ruby (add red ribbon if you want)
ArimaKana child
ArimaKana (I suppose you should add some hat)
SaitoIchigo
Miyako
GotandaTaishi
KurokawaAkane
Main improvement of EP02
Aquamarine
Ruby
Added in EP04
NarushimaMelt
KaburagiMasaya
KichijoujiYoriko
ShiranuiFrill
KotobukiMinami
Added at the end of the season
MemCho
KumanoNobuyuki
SumiYuki
MorimotoKengo
Pieyon
Comments on the most recent model:
Pieyon is not learned very well as can be seen from the example images, showing this is a more difficult task than learning the appearance of the characters
The star-shaped eyes are learned pretty well in the newest model, probably too well that it sometimes wants to put it on other characters, especially when we do inpainting
You may want to avoid this by putting related keywords in negative
I suppose this suggests a sort of character blending
Someone reported to me the EP04 version has more important character blending compared to the EP02 version
I am not sure how it would be the case for this new one as I do not have an objective way to judge this
Hopefully it works fine for you
Dataset composition
fanart 2432
screenshots
EP 01 1268
EP 02 357
EP 03,04 777
EP 05-11 2582
regularization ~35K
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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.
You may also check this nice page https://civitai.com/articles/262/directory-of-girlpacks-character-packs for a collection of such models,