Why this prompt works
It defines the core subject and headline, specifies typography style, lighting, texture, colors, and composition to guide the model toward a cinematic, high-contrast poster with strong readability.
Use this section when you need the complete GPT Image2 prompt wording, not just the summary. Review the structure, copy the full GPT Image2 prompt as-is, and then replace the subject, brand, style, or use case to fit your own workflow. This full GPT Image2 prompt block is the best place to study how the prompt is assembled before you test your own version. Treat this GPT Image2 prompt section as the source text you refine step by step.
{ "type": "complex urban systems atlas infographic", "style": "{argument name=\"color palette\" default=\"dark background with glowing blue, gold, and purple accents\"}, highly detailed technical illustration, 3D isometric cutaway", "header": { "title": "{argument name=\"chinese city name\" default=\"上海\"}城市系统剖面 {argument name=\"english city name\" default=\"SHANGHAI\"} URBAN SYSTEMS ATLAS", "subtitles": [ "地表之上,是城市;地表之下,是秩序 {argument name=\"english subtitle\" default=\"Beneath the skyline lies the machine.\"}", "一座城市如何运转 How a Megacity Actually Works" ] }, "layout": { "top_left": "Compass rose and city map labeled '上海市域位置 SHANGHAI LOCATION'", "top_right": "Data table titled '城市数据 CITY DATA' with 7 rows of statistics", "centerpiece": { "description": "{argument name=\"centerpiece style\" default=\"highly detailed 3D isometric cutaway render\"} of a megacity river landscape", "layers": [ "地面层 SURFACE", "排水层 DRAINAGE LAYER", "电力层 POWER LAYER", "通信层 COMMUNICATION LAYER", "轨道交通层 METRO LAYER", "道路隧道层 ROAD TUNNEL LAYER", "管廊综合层 UTILITY CORRIDOR LAYER" ] }, "side_panels": [ { "id": "01", "title": "城市主骨架 URBAN SKELETON", "elements": "Map with 8 legend items" }, { "id": "02", "title": "排水与地下水网 DRAINAGE + STORMWATER", "elements": "Cross-section diagram '典型排水剖面 DRAINAGE SECTION' with 5 legend items" }, { "id": "03", "title": "电网与能源分配 POWER GRID + ENERGY", "elements": "Cross-section diagram '典型变电站剖面 SUBSTATION SECTION' with 6 legend items" }, { "id": "04", "title": "通信与网络骨干 TELECOM + INTERNET", "elements": "Cross-section diagram '数据中心剖面 DATA CENTER SECTION' with 6 legend items" }, { "id": "05", "title": "地铁与地下交通 METRO + SUBSURFACE MOBILITY", "elements": "Cross-section diagram '人民广场站剖面 PEOPLE'S SQUARE STATION' with 6 legend items" }, { "id": "06", "title": "道路、高架与循环 ROADS + ELEVATED MOBILITY", "elements": "Cross-section diagram '南浦大桥剖面 NANPU BRIDGE SECTION' with 6 legend items" }, { "id": "07", "title": "管廊与地下设施 UTILITY CORRIDORS + PLUMBING", "elements": "Cross-section diagram '综合管廊 UTILITY CORRIDOR' with 8 legend items" }, { "id": "08", "title": "城市流量与系统协同 URBAN FLOWS + COORDINATION", "elements": "Map diagram '城市运行指挥中心 CITY OPERATIONS CENTER' with 6 legend items" } ], "bottom_panels": { "system_logic": { "title": "城市系统协同逻辑 SYSTEM COORDINATION LOGIC", "steps": 4, "labels": ["感知层 SENSING LAYER", "网络层 NETWORK LAYER", "平台层 PLATFORM LAYER", "应用层 APPLICATION LAYER"] }, "city_brain": { "title": "城市大脑 CITY BRAIN", "central_node": 1, "peripheral_nodes": 8 }, "references": { "depth_scale": { "title": "深度与尺度 DEPTH & SCALE REFERENCE", "icons": 5 }, "map_scale": { "title": "比例尺 SCALE", "markers": 4 } } } } }
It defines the core subject and headline, specifies typography style, lighting, texture, colors, and composition to guide the model toward a cinematic, high-contrast poster with strong readability.
Create a premium editorial poster for the headline "[TITLE]" with [TYPOGRAPHY STYLE], [LIGHTING STYLE], [COLOR PALETTE], [TEXTURE], [COMPOSITION], and [MOOD/ATMOSPHERE].
Use this GPT Image2 prompt as a working reference, not just a one-off sample. Keep the structure that already defines the output clearly, then replace the subject, typography, environment, campaign context, or aspect ratio to match your own goal. If you need more examples before rewriting the GPT Image2 prompt, go back to the Infographic category page or continue into the related prompts below. This GPT Image2 prompt workflow works best when you keep the original structure visible while you rewrite each key variable. A stable GPT Image2 prompt baseline usually makes revision work much faster.
Start by copying the full GPT Image2 prompt, then replace the subject, style language, and output goal with your own brief. Keep the visual structure if you want results in the same direction, and reuse the GPT Image2 prompt skeleton before you add brand-specific details. In practice, this GPT Image2 prompt works best when you change a small number of variables per iteration.
You can change the headline, product, mood, lighting, composition, typography, and end use while keeping the core GPT Image2 prompt logic that makes the example useful. In most cases, the best result comes from editing one GPT Image2 prompt variable at a time instead of rewriting everything at once. That keeps the GPT Image2 prompt structure stable while you test new creative directions.
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Explore more from the infographic collection to compare GPT Image2 prompt structures, visual directions, and reusable ideas that stay close to this example. Open another GPT Image2 prompt example if you want a nearby variation before rewriting your final version. That extra GPT Image2 prompt comparison step often helps you refine the final wording with less guesswork.