사용자 LoRA

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Futanari Horse Penis

Futanari Horse Penis - AI Model 커버 이미지
업로드 날짜
2024. 11. 20. 오후 5:38
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트리거 단어

horse penis

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

추천 LoRA

설명

Read the "about this version" for some useful information about the lora version.You can use, change and share any of the sample images.If you have any suggestions, I can try to implement.I would like to thank everyone who downloads this lora, leaves their review and opinions/suggestions.My goal is just to be able to generate different types of characters/creatures without depending on a specific model.About the lora versions, I always try to add more content, so the latest version will always do everything the other versions do in terms of content.The addition of masculine content does not interfere with futa contentIt is possible to make hermaphrodite boys by changing the 1girl tag to 1boy.Sometimes fingers can be generated on the penis, after looking at which images are responsible for creating this problem, I found that some tags like "fingernails, masturbation" were missing, this causes lora to generate fingers, most of the time just by putting masturbation in the negative solves this problem, "fingers, fingernails, futanari masturbation, male masturbation" should have the same effect. An example:I also found that the "realistic" tag helps to add textures to the skin, and when used in the negative (with the "3d" tag is even better) it helps with details related to anime content like proportions, eyes and mouths.It is possible to generate the following image angles and poses, taker pov(works well in conjunction with from below), from behind/rear view(this works with centaurs too, I forgot to put the related sample image), cowboy shot, from side, sitting, standing, kneeling, lying on back, lying on stomach(rear view/from behind), leaning forward, may have more tags I'll check later.If you have difficulties replicating any of the sample images, check the variation seed.You can check the lora metadata for training details.

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