Character Trigger Words:

nami \(one piece\), eyelashes, single sidelock, (narrow waist:0.85), long hair

Style Trigger Words (Select as Needed):

wano Country Arc

egghead arc

anime Coloring

comic

traditional Media

Attire Trigger Words:

blue bow, hair bow, back bow, blue kimono, yellow sash, short kimono, sleeveless, floral print

striped bikini, green bikini, lowleg pants, bikini top only, underboob, sideboob, midriff, denim, groin

Image material sources: (~60%) screenshots from the One Piece animated series, (~10%) officially released images, (~10%) manga screenshots, (~10%) artwork by artist rider (orange couture), and (~10%) other fan arts. (This does not reflect the proportion of images in the training set.)

I must complain that the character designs in One Piece are extremely exaggerated, leading to many contents within images not being accurately recognized by automatic labeling models. If the training is focused solely on the art style, this wouldn't be much of an issue. However, if the goal is to accurately reconstruct the characters' attire and obtain clean backgrounds, manual intervention becomes necessary. Given that One Piece, as a series that has been running for several decades, features main characters with over a dozen different outfits, this task can be quite substantial.

Furthermore, the animation of One Piece from the Fish-Man Island arc to the Whole Cake Island arc suffers from numerous instances of character designs breaking down, which could potentially corrupt the consistency of the art style. Additionally, the quality of clothing-related tags within the One Piece category on Danbooru varies significantly, making it ineffective at distinguishing between two similar outfits.

Due to these reasons, the objective of this model is not to accurately reconstruct the attire..