原文
GPT Image 2 · en
Using the provided reference image as the poster layout and lighting template, transform it from a Portugal/Cristiano Ronaldo World Cup wallpaper into an Argentina/Lionel Messi World Cup wallpaper. Keep the same vertical mobile wallpaper crop, dramatic close-up athlete portrait, left-side oversized vertical surname typography, cinematic smoke, sparks, and high-contrast sports-poster grading, but change the theme from red Portugal to cool blue Argentina.
Main transformation: Replace the player identity with {argument name="player name" default="Lionel Messi"} and show him in an Argentina home jersey with sky-blue and white vertical stripes, black collar trim, Adidas-style shoulder stripes, AFA crest with stars, and a central FIFA World Cup winners badge. Keep the face area obscured/covered as in the reference-style edit, but update the visible hair, beard, neck, and pose to resemble the new player.
Text changes: Replace all Portugal/Ronaldo copy with exactly 4 visible text groups: 1) small top-left first name: "LIONEL"; 2) huge vertical left surname: "MESSI"; 3) left-mid role text: "ARGENTINA" and "CAPTAIN • FW"; 4) bottom-center tournament title: "FIFA WORLD CUP 2026". Use bold condensed sports typography in white or pale blue, with the surname stacked vertically like the reference.
Background and mood: Change the red fire lighting to a cold blue stadium atmosphere with smoky haze, bright stadium lights behind the player, floating orange sparks and black debris, and cyan rim lighting around the hair and shoulders. Make it feel like a premium {argument name="tournament wallpaper style" default="FIFA World Cup 2026 football players wallpaper"}.
Constraints: Keep the same poster composition and vertical 9:16 wallpaper format, no extra players, no unrelated logos or watermarks, crisp 4K detail, realistic jersey texture, dramatic cinematic contrast.使い方
- パラメータを含む元のプロンプト全体をコピーします。
- 被写体、文字、構図を自分の要件に置き換えます。
- 対応する外部ツールで使用し、利用条件と結果を確認します。
開始前の確認
- 参考画像の要否を確認してください。互換モデルの表示は、そのモデルでの生成実績を意味しません。
- 名前、数値、画像内の文字を確認します。モデルの版で結果は変わります。
