ユーザーLoRA

XL

Hyena Mayeso PonyXL (Deathblight | Crescentia Fortuna) | LoCon

#オリジナル

#漫画

#獣耳

#尻尾

#へそ出し

#褐色肌

#筋肉

#多色髪

#化粧

#アイライナー

#口紅

#狼の尻尾

#引き締まった体

#メッシュ

#筋肉娘

#狼娘

#セミロング

#ハイエナ

#ローポニーテール

#褐色娘

Hyena Mayeso PonyXL (Deathblight | Crescentia Fortuna) | LoCon - AI Model cover image
アップロード日時
2024/05/29 16:38
採用数
225
レビュー
レビューがありません
トリガーワード

hyemayeso, dark-skinned female, wolf girl, animal ears, freckles, wolf tail, makeup, gold eyeliner, multicolored eyes, multicolored hair, streaked hair, medium hair, large breasts, toned, Low ponytail, pink nails, white nails, gradient nails,

権限について
  • 画像生成と共有を許可
  • ユーザーによるモデルのダウンロードを許可する
  • 生成画像の商用利用を許可する

詳細説明

Hyena Mayeso from the webcomic by Projekt Wolfenstahl "Deathblight". Works best around 0.8-1.0 weight. Training done on Pony Diffusion V6 XL.

Trigger: "hyemayeso, dark-skinned female, wolf girl, animal ears, freckles, wolf tail, multicolored tail, makeup, gold eyeliner, multicolored eyes, multicolored hair, streaked hair, medium hair, large breasts, toned" always needed.

Add "Low ponytail" for her main hairstyle or remove for loose casual style. Add "pink nails, white nails, gradient nails" for her proper nails but beware nails are odd on PonyXL. Add "Abs, navel" for proper definition where visible.

Suggestions/notes: Check samples on civitai for outfit ideas, her main outfits did not work very well as the data was very limited and not good for teaching em properly.

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

A fit Choco woof with abs and freckles like man this some good stuff right here. I really love the designs from the Deathblight comic so I wanted to make a few of the characters but dang these are tricky and very tag heavy just due to their complex design but came out really nice. I hope you all enjoy.

Feedback and reviews are always appreciated. Training data is in the Lora metadata. Trained on 67 images.

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