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.
[中文] 创建一个 [SNACK] 的品牌技术信息图,结合产品的真实照片或照片级真实渲染,并将技术注释覆盖层直接置于其上。在纯白摄影棚背景上使用带有策略性 [BRAND COLOR] 点缀的黑色墨水风格线条画(建筑草图外观),包括: • 关键组件标签 • 显示结构、分层或内部设计的内部截面图 • 测量数据、尺寸和规格 • 带有成分和数量的材料标注 • 指示主要功能和结构完整性的箭头 • 显示关键机械或设计元素的简单示意图或剖面图 • 可持续性标注 标题位置:位于手绘技术注释框内,带有强调色边框,粗体字显示产品名称,置于上角。 风格与布局规则: • 真实产品保持清晰可见 • 注释具有素描感、技术感和建筑感 • 强调色用于高光(占线条工作的 20-30%),黑色用于主要技术线条(70-80%) • 构图整洁,负空间平衡 • 具有教育意义、食品工程氛围和高端品牌感 • 在角落包含微妙的品牌标志 视觉风格:极简技术插画美学,黑色线条在真实图像上带有点缀,精确但略带手绘感。 调色板:白色背景,黑色注释线/文本,[BRAND COLOR] 仅用于点缀和关键标注。 输出:1080×1080,超清晰,社交媒体动态优化,无水印。 [English] Create a branded technical infographic of a [SNACK], combining a realistic photograph or photoreal render of the product with technical annotation overlays placed directly on top. Use black ink–style line drawings with strategic [BRAND COLOR] accents (architectural sketch look) on a pure white studio background, including: • Key component labels • Internal cross-section showing structure, layering, or internal design • Measurements, dimensions, and specifications • Material callouts with composition and quantities • Arrows indicating function for primary features and structural integrity • Simple schematic or sectional diagram showing key mechanical or design elements • Sustainability callouts Title placement: Inside a hand-drawn technical annotation box with accent border reading the product name in bold font, positioned in upper corner. Style & layout rules: • The realistic product remains clearly visible • Annotations feel sketched, technical, and architectural • Accents used for highlight (20-30% of linework), black for primary technical lines (70-80%) • Clean composition with balanced negative space • Educational, food-engineering vibe with premium branding • Include subtle brand logo mark in corner Visual style: Minimal technical illustration aesthetic, black linework with accents over realistic imagery, precise but slightly hand-drawn feel. Color palette: White background, black annotation lines/text, [BRAND COLOR] for accents and key callouts only. Output: 1080×1080, ultra-crisp, social-feed optimized, no watermark.
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.
Continue browsing
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.