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": "scientific botanical infographic poster", "subject": "{argument name=\"plant species\" default=\"Pomegranate (Punica granatum)\"}", "style": "vintage botanical illustration mixed with modern infographic design, highly detailed, {argument name=\"color palette\" default=\"earthy greens, deep reds, parchment background\"}", "header": { "main_title": "{argument name=\"main title\" default=\"植物生命路径剖面\"}", "english_title": "{argument name=\"english title\" default=\"BOTANICAL GROWTH ATLAS\"}", "subtitle": "从种子到果实,一株植物如何展开自己 / FROM SEED TO FRUIT" }, "centerpiece": "full plant showing extensive root system, woody stem, green leaves, blooming red flowers, and ripe fruits including one halved to show seeds", "layout": { "numbered_sections": [ { "number": 1, "title": "种子结构 / Seed Architecture", "content": "cross-section of a single seed with 6 labeled parts" }, { "number": 2, "title": "萌发机制 / Germination Mechanism", "content": "sequence of 5 sprouting seeds showing radicle emergence" }, { "number": 3, "title": "根系与地下网络 / Root System + Subsurface Intelligence", "content": "detailed root network with 2 circular microscopic cross-sections showing vascular bundles and hyphae" }, { "number": 4, "title": "茎叶生长与维管系统 / Stem, Leaf & Vascular System", "content": "leaf detail and circular stem cross-section with 5 labeled layers" }, { "number": 5, "title": "光合作用与能量转换 / Photosynthesis + Energy Conversion", "content": "3D cellular cross-section of a leaf showing mesophyll and chloroplasts, plus a chemical equation diagram" }, { "number": 6, "title": "花芽分化与开花机制 / Bud Formation + Blooming", "content": "detailed flower cross-section showing stamen and ovary, plus a 4-season timeline" }, { "number": 7, "title": "授粉与结果路径 / Pollination + Fruiting Pathway", "content": "bee approaching a flower cross-section, followed by a sequence of 5 stages of ovary development into a fruit" }, { "number": 8, "title": "果实成熟与种子循环 / Fruit Maturation + Seed Cycle", "content": "ripe fruit breaking open, seeds dispersing downwards to a new sprout" } ], "additional_elements": [ { "position": "bottom left", "title": "环境触发因素 / Environmental Triggers", "content": "grid of 6 weather/environmental icons and 6 nutrient element icons (N, P, K, Ca, Mg, Fe)" }, { "position": "bottom edge", "title": "Growth Timeline", "content": "linear sequence of 19 small plant icons showing the complete life cycle from seed to mature plant" } ], "footer_quote": "{argument name=\"bottom quote\" default=\"理解植物,就是理解生命如何在时间中构建秩序。\"}" } }
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.