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.
一张手绘风格的城市美食地图,以台州为主题。画面以鸟瞰视角的手绘简化城市地图为底,标注椒江、路桥、黄岩等区域和灵江、台州湾等水系地标,不追求精确比例而是追求可爱的水彩手绘感。地图上分布着12个美食地点的精致手绘小插画:1. 椒江老粮坊的蛋清羊尾(金黄蓬松的蛋泡甜点撒着糖粉,筷子夹起拉丝)2. 临海紫阳古街的食饼筒(一个饱满的麦饼卷切开露出肉丝、蛋皮、米面等丰富馅料)3. 三门的青蟹(一只肥硕的青壳大蟹张着大钳子,旁边一小碟姜醋)4. 温岭石塘渔港的海鲜面(粗瓷大碗浓白鱼汤面铺满虾、蛏子、小黄鱼)5. 路桥的糟羹(一锅稠厚的五彩羹,芥菜、冬笋、香干、牡蛎粒粒可见)6. 玉环坎门的炊圆(三四个白胖糯米团子卧在笼屉里,旁边酱油碟滴着麻油)7. 黄岩的麦虾(陶锅里面疙瘩配蛤蜊、青菜翻滚冒泡)8. 仙居的八大碗(八只粗陶小碗围成一圈——土鸡、溪鱼、豆腐皮俱全)9. 天台的饺饼筒(几卷金黄酥脆的薄饼整齐码放,露出红烧肉和豆面馅)10. 临海的麦油脂(竹盘上摊着薄如蝉翼的饼皮卷着肉末、豆芽、鸡蛋丝)11. 温岭的嵌糕(厚实的年糕饼中间嵌着红烧肉和油条,正在铁板上滋滋作响)12. 椒江的姜汁调蛋(一只青花碗里琥珀色姜汤卧着嫩滑蛋花,撒几粒核桃碎)。每个插画约占地图5%面积,旁边用手写体标注店名和一句推荐语如“阿婆凌晨四点就起来和面”“本地人认准这口锅”。地图边缘用手绘藤蔓、杨梅枝和小海鲜(虾、蟹、贝壳)装饰形成边框。右下角有一个手绘指南针(标注“东海”方向)和图例说明。左上角标题“台州·山海食光地图”使用胖圆的手绘美术字,用杨梅和小黄鱼点缀装饰。整体画风为水彩+彩铅混合的手绘质感,颜色以杨梅红、姜黄、海蓝、翠绿为主,图片比例1:1。
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.