OpenZhenZhen AI Prompt Gallery · gpt-image-2.5 · image
Ultra-Detailed JSON Data Flow Visualization Poster
Ultra-Detailed JSON Data Flow Visualization Poster — explore this gpt-image-2.5 creation on OpenZhenZhen, with its original prompt and a reusable generation example.
Prompt
Chinese prompt
制作一张原创编辑信息图海报，把“以详尽的 JSON 格式分析此图像”这一指令表现为结构化的JSON 数据流可视化，但不声称分析真实图像。使用深炭灰画布、中央抽象图像占位符，以及标注主体、构图、光线、风格、色彩、纹理、相机和约束的清晰分支节点。用细而发光的连线、嵌套大括号、数组标记、小型字段标签和明确层级，连接从原始视觉输入到结构化输出的过程。版式要极其细致但保持可读：使用米白文字、低饱和青色、琥珀色、紫罗兰和银色点缀，半透明面板、网格对齐、细微数据粒子和克制的屏幕辉光。只展示简短的示意值，不出现个人数据、受版权保护的原文或巨大难读的代码墙。将“JSON 数据流”作为小型标题，并显示“不声称分析真实图像”的可见说明。保持为精致的数据可视化海报，不出现人物、品牌标记或水印。
English prompt
Create an original editorial infographic poster that visualizes the instruction "Analyze this image in exhaustive JSON detail" as a structured JSON data flow, without claiming to analyze a real image. Use a dark charcoal canvas with a central abstract image placeholder and clean branching nodes labeled subject, composition, lighting, style, color, texture, camera, and constraints. Connect the nodes with fine luminous lines and nested braces, array markers, small field labels, and a clear hierarchy from raw visual input to structured output. Make the layout extremely detailed but legible: use off-white text, muted cyan, amber, violet, and silver accents, translucent panels, grid alignment, subtle data particles, and restrained screen-glow. Show only short schematic sample values, never personal data, copyrighted source text, or a giant unreadable wall of code. Include the exact phrase "JSON data flow" as a small header and a visible note "no real image claim". Keep the result as a polished data-visualization poster with no people, no brand marks, and no watermark.
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