Japanese Woman in Indigo Dress

A detailed structured prompt for generating an elegant woman in a traditional Japanese room wearing a satin indigo dress. (free to use) — Free AI image template on PicX Studio.

gpt-image-2

Sample Prompt

主題：{argument name="主題" default="藍色ドレスの女性"} 人物・表情：{argument name="人物" default="20代前半の女性、透明感のある明るい肌、やわらかな卵型の顔立ち、黒髪のゆるいまとめ髪、薄めの前髪、自然な日系メイク、落ち着いた微笑み、穏やかにカメラを見つめる視線"} 服装・ポーズ：藍色の光沢感あるサテンロングドレス、繊細な和花柄の刺繍、細いストラップ、上品で女性らしいシルエット、木製テーブルの縁に腰掛け、片手をテーブルにつきながら脚を自然に組んだエレガントなポーズ、裸足背景・光：和室の落ち着いた室内、障子、畳、床の間、掛け軸、陶器の花瓶、青い花を活けた和のアレンジメント、木の温もりが感じられる空間、暖かい室内光、静かで上質な空気感構図・カメラ：縦長9:16、全身ポートレート、やや斜めからの構図、85mm portrait lens、shallow depth of field、背景を柔らかくぼかした cinematic portrait、人物を中央寄りに配置した上品な構図質感・スタイル：高精細、4K品質、natural skin texture、艶やかな生地の質感、realistic AI portrait、cinematic lighting、日系ポートレート、洗練された和モダン、落ち着いた色調、editorial photography ネガティブ：低画質、不自然な手、崩れた顔、余分な指、歪んだ体、過度な加工、不自然な脚、過剰な露出、文字、ロゴ、透かし

A practical guide to Japanese Woman in Indigo Dress

Use Japanese Woman in Indigo Dress to plan an AI image around gpt-image-2 generation, themes such as ja and gpt-image-2. Match the preview's composition first, then personalize the subject, setting, and mood for your own project.

Model direction: start with gpt-image-2, the model this template was tuned for, before comparing another model.
Composition: choose an aspect ratio for the final placement before you generate the image.
Creative direction: use ja, gpt-image-2, twitter as the main visual anchors and change one variable at a time.

How to use this image template

01
Open
Use the primary action to load the template settings in PicX Studio.
02
Personalize
Adjust the subject and creative details for your destination.
03
Generate
Create the image, compare the result with the preview, and refine one variable at a time.

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Japanese Woman in Indigo Dress questions

How do I use the Japanese Woman in Indigo Dress template?

Choose the primary action to open PicX Studio with the available template settings. Review the model and format, personalize the creative direction, and generate when ready.