World Cup Champion Tunnel Poster

原文

GPT Image 2 · en

Create a cinematic vertical sports poster showing {argument name="character name" default="a confident male football champion"} walking slowly toward the camera through a dark, modern FIFA World Cup player tunnel. He is centered full-body, wearing a black streetwear-inspired football outfit: black long-sleeve jersey with gold trim, a gold crest, small tournament emblems, the word {argument name="shirt text" default="CHAMPION"} across the chest, black jeans, and black sneakers. His face should be intentionally soft/blurred as if identity-preserved from a reference, while the pose feels calm, victorious, and powerful. He holds one golden World Cup-style trophy in his left hand at chest height. The tunnel walls and ceiling are covered with deep navy LED screens displaying large white text reading {argument name="event text" default="WORLD CUP 2026"}, repeated on the ceiling and both side walls, plus small infinity-like tournament logos and subtle red, cyan, and magenta ribbon graphics. At the tunnel exit behind him, create a glowing stadium entrance with intense white floodlights, green pitch visible at the bottom, and a cheering crowd in soft focus. Add exactly 9 floating foreground/background sports elements: 4 golden World Cup-style trophies positioned upper left, mid-right, lower left, and lower right; and 5 black-and-white soccer balls positioned upper right large cropped, left-center small, lower-left mid, bottom-right large cropped, and one additional small ball near the left wall. Use dramatic volumetric lighting, glossy reflections on the floor, strong backlight halo, shallow depth of field, high-contrast blue-and-gold color grading, realistic photographic detail, and a triumphant commercial advertising style. Vertical 9:16 composition, no watermark, no extra logos beyond the tournament-style marks, keep text legible and bold.

使い方

1. パラメータを含む元のプロンプト全体をコピーします。
2. 被写体、文字、構図を自分の要件に置き換えます。
3. 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。