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G41 - Girls' Frontline Character LoRA

G41 - Girls' Frontline Character LoRA

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#Anime
#Charakter
#weiblich
#Girls' Frontline
#Anime
#Charakter
#weiblich
#Girls' Frontline

About

I've noticed that there wasn't a LoRA of G41 from GFL and decided to give it a go. Recommended to use at weights 0.65-0.8.

All of the preview images were generated with the same prompts and nothing was done to them after the initial generation. I did leave out any inconsistent results and generally the results that didn't look amazing or close to the character, so keep that in mind, but it's fairly consistent if you use more words like: blonde, heterochromia, etc. in your prompt.

The LoRA was trained on Anything V5 and the previews were also generated using it, I've not tested it on any other models but I'm sure it will work fine on others.

Update!

Fixed several issues that were pointed out. The model should work much better now than before. I still recommend adding in prompts like: heterochromia, blonde hair, etc. but just using the g41 trigger word should get the general character concept out now.

The LoRA should also work much better on other models, I only tested 5 so there could be some that don't take it well but hopefully now it should be good.

Thanks to yakumonagi246 for pointing out the problems in the training for the LoRA, I probably would never have noticed and would've kept training them wrong otherwise.

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Mitteilung
2024-04-02
Modell veröffentlichen
2023-05-29
Modellinformationen aktualisieren
Modelldetails
Typ
LORA
Veröffentlichungsdatum
2023-05-29
Basismodelle
SD 1.5
Auslösewörter
g41
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Versionsvorstellung

Fixed captioning problem and trained on NAI model instead.

Should work much better with other models and not have as many issues. Generally retains a specific look and outfit (heterochromia is a bit inconsistent, much better results specifying eye colours) when using only the "g41" trigger word but using other words to define the outfit or general appearance should work much better in this version.

Thanks to yakumonagi246 for pointing out these errors in the LoRA, hopefully this version is much better trained.

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Source-Modell: civitai

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