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GPT Image 2 Sports Infographic Poster Prompt – Champions League Data Sheet

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提示词

{
  "type": "sports match infographic poster",
  "theme": "UEFA Champions League",
  "background": "dark blue and purple cosmic sky, glowing blue hexagonal lines, illuminated stadium reflecting on water at bottom",
  "header": {
    "logo": "UEFA Champions League",
    "title": "{argument name=\"stage\" default=\"HALBFINALE\"}",
    "subtitle": "DAS ZIEL: {argument name=\"location\" default=\"BUDAPEST 2026\"}",
    "venue": "PUSKÁS ARÉNA"
  },
  "matchup": {
    "player_left": "{argument name=\"team 1 player\" default=\"Harry Kane\"} in red FC Bayern kit",
    "player_right": "{argument name=\"team 2 player\" default=\"Ousmane Dembélé\"} in blue PSG kit",
    "center_logos": "FC Bayern München and Paris Saint-Germain with VS",
    "date_box": "calendar icon, MITTWOCH, {argument name=\"date\" default=\"06.05.2026\"}"
  },
  "facts_section": {
    "title": "FACTS",
    "count": 5,
    "items": [
      "Trophy icon: DIE KÖNIGSKLASSE 2025/26",
      "Bar chart icon: KANE IN TOPFORM",
      "Lightning bolt icon: DEMBÉLÉ ÜBERFLIEGER",
      "Two people icon: BISHER 14 DUELLE",
      "Stadium icon: BUDAPEST RUFT"
    ]
  },
  "footer": {
    "trophy": "Champions League trophy on right",
    "stadium_image": "Puskás Aréna at night",
    "tagline": "EIN TRAUM. EIN ZIEL. EIN TITEL.",
    "bottom_text": "ROAD TO BUDAPEST 2026"
  }
}

关于这条提示词

Copy this sports infographic poster prompt prompt and run it in GPT Image 2 exactly as written. The wording asks the model for infographic, poster and brand work in a tech, commerce and food context and keeps the full description that produced the original gallery result, so you can study a working example instead of guessing at phrasing from scratch. Iterate one clause at a time and regenerate to compare.

To reproduce the result faithfully, keep the template intact and change only subject-specific details such as names, colors, and scene elements first. The prompt is written in English, so keep any edits you make in the same language to preserve the model's typography and tone. Composition, lighting, and texture clauses carry most of the final look, so adjust the aspect ratio or quality settings only after the core wording already matches what you want.

This prompt is adapted from the awesome-gpt-image-2 collection under the MIT license and was originally shared by @NumeroBTC. The original case is titled “信息图可视化设计” in the upstream gallery. The wording here matches the original text so credit and reproducibility stay intact, and the upstream entry documents the author's own notes.

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