사용자 LoRA

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Haru (Star Wars: Visions - The Village Bride) | LoCon

#성숙한 여성

#드레스

#단발 머리

#장발

#금발

#스타워즈

#물색 눈

#소녀

#이색 피부

#갈색 피부 여성

#스타워즈: 비전스

Haru (Star Wars: Visions - The Village Bride) | LoCon - AI Model cover image
업로드 날짜
2024. 5. 2. PM 11:09
이용수
2
리뷰
리뷰 없음
트리거 단어

HaruSW, dark-skinned female, aqua eyes, HMain, facial mark, bodypaint, hair flower, hair ribbon, white dress, off shoulder, white sash, vertical-striped dress, HAlt, long hair, earrings, red robe, strapless, white shirt, blue sash, white skirt

권한
  • 이미지 생성 및 공유 허용
  • 다른 사용자가 내 모델을 다운로드하도록 허용합니다
  • 생성된 이미지의 상업적 이용 허용

설명

Haru from Star Wars Visions. Works best around 1.0 weight. Training done on NAI.

Trigger: "HaruSW, dark-skinned female, aqua eyes" always needed. Hair options: "long hair" (most flexible appearance choice) "short hair, hair flower" Add "blond hair" if fails on some models

Suggestions/notes:

Main Appearance: "HMain, facial mark, bodypaint, hair flower, hair ribbon, short hair, white dress, strapless, off shoulder, bare shoulders, sleeveless, white sash, vertical-striped dress" "white horns" didn't train well but you can try it out. Outfit is pretty random due to limited data. The bodypaint is also very random as was in even less of the data.

Alt Appearance: "HAlt, long hair, earrings, red robe, strapless, white shirt, blue sash, white skirt, long skirt" Somewhat random as well due to limited data. This is the better option when you want to change the outfits.

She is flexible clothing wise but may be tricky to reduce clothing so more helping tags will be needed.

The village bride was a really nice episode and I wanted to give Haru a shot after I made F, there is a bit of style bake in this lora but sadly there was little fanart so almost all the data was from the anime. I hope you all enjoy.

Feedback and reviews are always appreciated.

Nerdy training numbers: Trained on D8Dreambooth trainerOptimizer: DadaptationTraining resolution: 512Unet LR: 1Tnec LR: 1Unet weight decay: 0.01Tenc weight decay: 0.01450 Epochs - 2100 StepsTrained on 42 images.

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