ユーザーLoRA

XL

Lipstick Ring Concept [PonyXL]

#口紅

表紙が削除されました: コンテンツ規則違反

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アップロード日時
2024/05/14 10:02
採用数
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トリガーワード

<color> lipstick

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

Put some lipstick where nature didn't intend it to go (i.e.: a penis). Allows you to add lipstick rings to penises, consistent with the lipstick color of the girl in the picture.Results are not always consistent and may sometimes require a little luck, especially with the lite version.If you like the LoRA, please leave a reaction, review and/or tip. Enjoy!UsageTrigger word: <color> lipstickSome colors work better than others, but all colors are possibleRecommended strength 0.8 - 1.2 (lite version may need a lot of extra strength)Try also increasing the weight of the trigger wordUse Clip skip=1 or Clip skip=2 (other values may also work, use at own risk)Use at 1024x1024Optional: Use in-painting to nudge the LoRA in the right directionOptional: Add tags that work well with this LoRA:povafter fellatio, saliva on penislipstick marks ("kiss marks", different from the lipstick ring)fellatio (for actual blowjob)oral, licking (for licking penis/testicles)ExampleSee preview images (generated with pruned version).Unpruned vs. Pruned vs. LiteI offer three variations of the model, which only differ in the file size and quality. Pick the one that best suits your preferences. If you can not decide, simply pick the "pruned" version. Note that the quality is relative, even the lite version usually produces images which closely resemble the intended concept.unpruned: The originally trained model. Largest file size, best quality. Pick if you want the best possible quality, at the cost of disk space.pruned: Downsized model. Almost same quality as the unpruned version, with noticably smaller file size.lite: Drastically downsized model. Smallest file size. Still has good quality, but noticeably worse than unpruned and pruned.NotesSuprised there was no Pony version of this yet. I expected the training to be much harder, but it turned out quite decent. The LoRA is not very consistent yet, but that is likely due to the training data being a little lacking. I might revisit this in the future and add some synthetic data.Using training dataAll training data has been sourced from publicly available sources. Feel free to contact me if you want access to the training data.

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