Overview(概要)

Purpose(理念)

This LoRA model has been trained for generating European people images with a unique tagging scheme, giving flexible generation of diverse faces just as you want. The tagging scheme was inspired by the UFPT / 16-Type facial classification method which has become popular in East Asia. BDEA, a model trained for generating East Asians by using the same scheme is here.

　このモデルは顔のMBTI（UFPT)に触発されて開発したLoRAです。従来のモデルより幅広い種類の顔の描写を可能にします。以前同様のタグ付けスキームでアジア系の顔の描写を主な目的としたBDEAを作りましたがBDEEは主にヨーロッパ系の人々を対象にします。

Precaution for Use(使用上の注意)

This LoRA model was trained with Nova Reality, so it's recommended to use Nova Series when using this LoRA model. And furthermore, Users must comply with the license terms of Nova Reality and the original models in the lineage, of course, along with the laws in their respective countries.

このLoRAはNova Realityで訓練しました。また、Nova Realityおよび系譜内のもととなったモデルのライセンスを遵守してください。もちろん、各国の法律もです。

Usage

In the UFPT system, faces are classified into 16types using four pairs of opposing traits(like MBTI): D(Flat face) vs N(Bold face), S(Angular face) vs Y(Soft face), F(Feminine face) vs M(Masculine face), K(Wide face) vs Z(Narrow face).

“Flat face” doesn’t mean that the face is literally flat, but rather that the facial features are small and less prominent.  In contrast, “Bold face” doesn’t mean that the face is literally bold, but rather that the facial features are large and prominent.

“Angular face” doesn’t mean that the face is literally angular, but rather that the facial features are linear and giving a mature impression.  In contrast, “Soft face” doesn’t mean that the face is literally soft, but rather that the facial features are rounded and giving a youthful impression.

“Feminine face” doesn’t mean that the face is literally feminine, but rather that the facial features are gentle and giving a culm impression.  In contrast, “Masculine face” doesn’t mean that the face is literally masculine, but rather that the facial features are strong and giving an intense impression.

“Wide face” doesn’t mean that the face is literally wide, but rather that the facial features are widely spaced or elongated horizontally, and gives approachable impression.  In contrast, “Narrow face” doesn’t mean that the face is literally narrow, but rather that the facial features are close together or elongated vertically, and gives a harmonious impression.

According this scheme, The faces are classified into the following 16types: Graceful face (DSFK), Artsy face (DSFZ), Commanding face (DSMK), Majestic face (DSMZ), Kawaii face (DYFK), Angelic face (DYFZ), Boyish face (DYMK), Fresh face (DYMZ), Elegant face (NSFK), Sultry face (NSFZ), Vibrant face (NSMK), Striking face (NSMZ), Cheerful face (NYFK), Charming face (NYFZ), Sassy face (NYMK), and Chic face (NYMZ)

Please see the gallery for detailed prompts.