ボア・ハンコックのコスプレ衣装選択
71122

GPT Image 2.0 プロンプト - ボア・ハンコックのコスプレ衣装選択

作成者
xie underwood
モデル
GPT Image 2.0
アスペクト比
9:16
画質
1K

プロンプト

vertical smartphone video frame, realistic Korean adult woman in a cozy home outfit standing slightly left of center, plain cream-colored wall background, warm circular yellow spotlight behind her, soft indoor lighting, casual social media cosplay transformation video atmosphere, 9:16 vertical phone-camera realism, slight compression texture the woman keeps the same appearance as the previous frame: long straight black hair, subtle Korean idol-style makeup, gentle confident smile, golden snake-shaped earrings, white fitted tank top, light pink cardigan resting naturally on her shoulders, comfortable high-waisted lounge shorts, hands gently behind her back, relaxed front-facing pose on the right side, a semi-transparent floating outfit reference image appears, like a selectable cosplay option overlay, showing Boa Hancock's classic One Piece empress outfit: elegant red and pink Chinese-style dress, high side slit but not revealing, gold ornamental patterns, pale sash around the waist, white cape-like shoulder drape, large golden snake earrings, long black hair, graceful pirate empress silhouette, anime character reference card feeling, about 55 percent opacity, softly blended into the scene, slight glowing edge, positioned in the previously empty right-side space at the top, a clean white rectangular title banner with bold tall black condensed text: "BOA HANCOCK", thin gold border, small pink heart accents, subtle snake motif, pirate-empress ornamental corners, readable centered title keep the main woman realistic and fully opaque, keep the right-side Boa Hancock outfit image semi-transparent, no physical interaction yet, clean background, warm playful transformation mood, the frame should clearly suggest a canon character outfit selection has just appeared

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  1. 01

    プロンプトから始める

    プロンプトをコピーするか、生成ボタンで開きます。

  2. 02

    自分のアイデアを加える

    被写体や背景、細部を調整し、必要に応じて参考素材を追加します。

  3. 03

    生成前に確認する

    モデルと出力設定を確認してください。生成結果は毎回異なる場合があります。

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