OpenZhenZhen AI 提示词画廊 · gpt-image-2.5 · image
频率分布逻辑密度平铺构图
Frequency Distribution Logic Density Tiling Composition
A 16:9 no-person data-visualization flat lay of 40–60 real {{theme}} objects packed from common to rare, with density forming the silhouette of {{shape}}.
提示词 / Prompt
中文提示词
在 16:9 画布内创作一个 2x2 grid 的无人物自上而下平铺数据可视化图，包含 40–60 个真实的 communication devices 对象。按现实世界频率排列：最常见对象在一侧密集聚集形成拥挤群体，最稀有对象在另一侧单独存在并留出宽阔空白。让密度分布清晰形成 a leaf 的轮廓，从拥挤到稀疏平滑过渡，边缘干净并保留充足边距。对象应按真实普遍度或稀有度排序，而不是任意装饰，使丰裕一眼读作视觉拥挤、稀有一眼读作孤立。使用真实物体、准确材质、一致哑光表面和柔和阴影。采用平坦顶置柔光箱且无眩光。沿底部边缘加入微小频率标签，保持清晰克制。将密度图平铺、频率密集集合和数据可视化排列结合，输出 8k。避免均匀间距、密度不匹配、轮廓破碎、完全重叠、物体倾斜、3D 透视、手部、虚构统计、不可读标签和水印。
English prompt
Create a 2x2 grid within a 16:9 no-person top-down flat-lay visualization of 40–60 real communication devices objects. Pack the objects according to real-world frequency: the most common objects form a dense crowd on one side, while the rarest stand alone with generous open space on the other. Let the density distribution clearly form the silhouette of a leaf, with a smooth crowd-to-sparse transition, a clean silhouette edge and generous margin. Rank the objects by true commonness or rarity rather than arbitrary decoration, so abundance reads as visual crowding and rarity as isolation at a glance. Use real objects with accurate materials, consistent matte finish and soft shadows. Illuminate with a flat overhead softbox with no glare. Add tiny frequency labels along the lower edge, keeping them legible and restrained. Combine density-map flat lay, frequency-packed collection and data-visualization arrangement in an 8k render. Avoid uniform spacing, mismatched density, broken silhouette, total overlap, tilted objects, 3D perspective, hands, invented statistics, unreadable labels and watermarks.
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