提示词库 · 信息图 · 信息图 GPT Image 2 提示词:F1 Race Results Infographic
信息图 GPT Image 2 提示词:F1 Race Results Infographic
信息图 界面稿

信息图 GPT Image 2 提示词:F1 Race Results Infographic

A detailed Formula 1 race results infographic featuring a track map, illustrated podium finishers, and comprehensive statistical tables.
场景
信息图 / 界面稿
模型
GPT Image 2
语言
中文

📝 提示词

{ "type": "sports infographic", "theme": "Formula 1 Race Results", "header": { "title": "LATEST F1 RACE RESULTS", "subtitle": "{argument name="grand prix name" default="FORMULA 1 LENOVO JAPANESE GRAND PRIX 2026"}" }, "layout": { "sections": [ { "title": "Track Map", "position": "top", "elements": [ "circuit layout with 11 labeled corners", "Japanese flag", "track details text: {argument name="track name" default="SUZUKA CIRCUIT"} | 53 LAPS | MARCH 29, 2026" ] }, { "title": "Podium", "position": "middle", "background": "Mount Fuji, cherry blossoms, neon radiating lines", "count": 3, "drivers": [ { "position": "1st", "name": "{argument name="first place driver" default="ANDREA KIMI ANTONELLI"}", "team": "MERCEDES", "pose": "holding gold trophy, waving", "suit": "black" }, { "position": "2nd", "name": "{argument name="second place driver" default="OSCAR PIASTRI"}", "team": "McLAREN", "pose": "hands on hips", "suit": "orange and black" }, { "position": "3rd", "name": "{argument name="third place driver" default="CHARLES LECLERC"}", "team": "FERRARI", "pose": "standing straight", "suit": "red" } ] }, { "title": "FULL RACE CLASSIFICATION", "position": "bottom-left", "count": 17, "description": "Table with 17 rows showing positions 4 through 20, including columns for POS, DRIVER, TEAM, GAP, and POINTS." }, { "title": "KEY RACE STATS", "position": "bottom-right-top", "count": 5, "stats": [ "POLE POSITION", "FASTEST LAP (purple background)", "DRIVER OF THE DAY", "TOTAL DISTANCE", "WINNER'S AVG SPEED" ] }, { "title": "CHAMPIONSHIP STANDINGS UPDATE", "position": "bottom-right-bottom", "columns": 2, "lists": [ "TOP DRIVERS (3 items)", "TOP TEAMS (3 items)" ] } ] } }

🎯 适合场景

适合做图解、清单、路线图和知识长图:先锁定信息层级,再把文字量控制在模型能稳定处理的范围里。

💡 改写建议

  • 先替换变量里的品类、人物、城市、品牌色,不急着改整段结构。 把主体、构图和风格分开写,后续微调会更稳。
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