PixAI会員
PixAI
PixAI
Generate
Sign in
ホーム
生成
モデル
Studio
NEW
コンテスト
Mio.2 で作成
ツールボックス
NEW
ガイド

ユーザーLoRA

XL
キャラ

See-through body | Experimental (Illustrious)

#透明

創作

  • AI画像生成
  • AI動画生成
  • ツールボックス
  • テーマジェネレーター
  • LoRA学習
  • Mio.2 エージェント
  • Studio

探索

  • 人気タグ
  • ランキング
  • モデルマーケット
  • コンテスト
  • お知らせ

PixAIについて

  • ガイド
  • PixAI ブログ
  • Tsubaki.2
  • マスコットのミオに会う
  • コンテンツ規則

料金とヘルプ

  • 会員
  • クレジットパック
  • お問い合わせ

アプリ

  • App Store
  • Google Play
© 2026 PixAI
  • 利用規約
  • プライバシーポリシー
  • 著作権ポリシー
  • 特定商取引法
See-through body | Experimental (Illustrious) - AI Model cover image
アップロード日時
2025/07/22 9:41
採用数
784
レビュー
良好  (1)
トリガーワード

see-through body

権限
  • 画像生成と共有を許可する
  • 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

おすすめLoRA

Caenis 27th :\ Haruka - AI Model cover image

ユーザーLoRA

Caenis 27th :\ Haruka
2
Fiona - Dream Messenger - AI Model cover image

ユーザーLoRA

Fiona - Dream Messenger
0
石昊火灵儿 - Shi Hao Huo Ling'er  - AI Model cover image

ユーザーLoRA

石昊火灵儿 - Shi Hao Huo Ling'er
2
Stella - AI Model cover image

PixAI LoRA

Stella
195

詳細説明

A loRA made by PressWagon on CivitAI: https://civitai.com/models/1780804?modelVersionId=2018211

"v1 - Large The same dataset as v1 - Normal on a lora that is twice as large. Results seem promising, but your feedback would be appreciated.

v1 - Normal With an enhanced dataset the results are improved. There is still a strong style influence which biases the results towards an anime style and backgrounds exhibit overfitting. Effect works best when the background is a repeating pattern (like stone walls, concrete paths) or includes elements that extend across the subject (windows, edges etc). Although it was not tagged for this at all, adding "see-through head" may improve the transparency of the head when used in addition to "see-through body".

Adding tags like "see-through clothes" to the negative can get a more invisible girl style. Some issues may also be solved by adding "tattoo" to the negative.

v0 Proof of concept: This is a proof of concept for training a concept on synthetic and modified imagery. The initial dataset was very small and the resulting model is overbaked but shows signs of concept comprehension.

Method Explainer v0 and v1 were trained entirely on synthetic data created by generating a subject and a background independently and then compositing a semi-transparent subject over a background using image editing software.

This approach has an obvious downside, that the two components are not well integrated. How then to create a full body subject oriented correctly to the viewing angle of the background? My solution was to turn to my favourite tool, the lineart controlnet.

The initial prompt was:

1girl, standing, full body, turning around, looking back, long blonde hair, red jacket, blue jeans, park, grass, bench, concrete path, masterpiece, best quality, amazing detail, high definition

Which could then be modified for the isolated subject:

1girl, standing, full body, turning around, looking back, long blonde hair, red jacket, blue jeans, simple background, masterpiece, best quality, amazing detail, high definition

and a background prompt:

no humans, park, grass, bench, concrete path, masterpiece, best quality, amazing detail, high definition Masking out the subject becomes much easier with a simple background.

Then it can be superimposed as a transparent subject over a fully detailed background. Even using a model that didn't understand "see-through body" we were still able to create synthetic training data so that it could learn it. Pretty neat!

コメント1