图片 · GPT Image 2.5
年代服饰密度信息图
生成按年代分区的俯拍服饰平铺图,用物品疏密变化直观表现常见与稀有程度。
Prompt
2x2网格,16:9画幅,为不同年代的时尚服饰制作:俯视平铺图,[THEME]物品按现实世界中的出现频率排布,最常见的物品在一侧密集聚集,最稀有的物品孤立站立,另一侧留有开阔空白,密度分布构成[SHAPE]的轮廓 ::5
频率逻辑:AI_INFER 40–60 个主题物品按真实稀有度或常见度排序,排布方式使视觉密度直接编码频率——丰富即拥挤,稀有即孤立——密度渐变一目了然 ::5
构图:密度分级排布,从密集到稀疏平滑过渡,清晰的轮廓边缘,留有充足边距 ::3
材质物理:真实的主题物品,准确的材质,统一的哑光质感,柔和阴影 ::2
照明:平顶柔光箱正上方照明,无眩光 ::2
排版:沿下边缘排列的微小频率标签 ::2
渲染堆栈:密度图平铺图,频率堆叠的收藏集,数据可视化排布,8K ::1
负面:[uniform spacing, mismatched density, broken silhouette, total overlap, tilt, 3d perspective, hands] ::-12x2 grid, 16:9, do this for fashions of different decades: A top-down flat-lay where [THEME] objects are packed by real-world frequency, the most common swarming densely on one side and the rarest standing alone with open space on the other, the density distribution forming the silhouette of [SHAPE] ::5
Frequency Logic: AI_INFER 40–60 themed objects ranked by true rarity or commonness, packed so visual density directly encodes frequency — abundance reads as crowding, rarity as isolation — the density gradient legible at a glance ::5
Composition: Density-graded packing, smooth crowd-to-sparse transition, clean silhouette edge, generous margin ::3
Material Physics: Real themed objects, accurate materials, consistent matte finish, soft shadows ::2
Illumination: Flat overhead softbox, no glare ::2
Typography: Tiny frequency labels along the lower edge ::2
Render Stack: Density-map flat-lay, frequency-packed collection, data-viz arrangement, 8k ::1
Negative: [uniform spacing, mismatched density, broken silhouette, total overlap, tilt, 3d perspective, hands] ::-1
使用建议
将 [THEME] 替换为想展示的主题,并用 [SHAPE] 指定疏密分布形成的轮廓。
信息
- 类型
- 图片
- 模型
- GPT Image 2.5
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