사용자 LoRA

XL

Ferania Wolfenstahl PonyXL (Deathblight | Crescentia Fortuna) | LoCon

#오리지널

#만화

#동물귀

#꼬리

#배꼽 노출

#적안

#포니테일

#장발

#근육

#화장

#아이라이너

#립스틱

#늑대 꼬리

#탄탄한 몸매

#근육녀

#늑대 소녀

Ferania Wolfenstahl PonyXL (Deathblight | Crescentia Fortuna) | LoCon - AI Model cover image
업로드 날짜
2024. 6. 1. 오후 7:58
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4.04k
리뷰
리뷰 없음
트리거 단어

ferania, wolf girl, red eyes, animal ears, makeup, lipstick, red nails, wolf tail, long hair, hair between eyes, silver hair, large breasts, toned, red nails, ponytail

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설명

Ferania Wolfenstahl from the webcomic by Projekt Wolfenstahl "Deathblight". Works best around 0.8-1.0 weight. Training done on Pony Diffusion V6 XL. Trigger: "ferania, wolf girl, red eyes, animal ears, makeup, lipstick, wolf tail, long hair, hair between eyes, silver hair, large breasts, toned" always needed for accuracy. Add "ponytail" for her ponytail hairstyle. Add "red nails" for her proper nails but beware nails are odd on PonyXL.

Suggestions/notes: Sleeveless shirt Outfit: "red shirt, sleeveless, fur collar, fingerless gloves, black elbow gloves, brown belt, black skirt, mini skirt, black thighhighs" Fur jacket + crop top Outfit: "black choker, black jacket, fur-trimmed jacket, fingerless gloves, red tube top, crop top, cleavage, strapless, black skirt, white belt"

Very flexible and NSFW able as there was a lot of nude data and the outfits were very normal. The nails are slightly inconsistent so I suggest trying a bit but not torturing yourself to get them working right.

A fit silver woof with abs of course I am a happy camper. Continuing the Deathblight characters line I wanted to port over the ones I made when I first started making loras but I decided to remake the dataset from zero which really paid off when it came to consistency and quality. Sadly the cutouts from Ferania's shirt just did not want to learn correctly and I did not want to burn it in so I opted for the current version with limited style burn. I hope you all enjoy.

Feedback and reviews are always appreciated.

Training data is in the Lora metadata.

Trained on 50 images.

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