{"snapshotDate":"2026-10-20","releaseId":"465e0259274b1b15","data":{"id":"opennana-17167","sourceId":17167,"order":6284,"titleZh":"频率分布逻辑平铺构图","titleOriginal":"频率分布逻辑平铺构图","category":"opennana","model":"ChatGPT","modelShort":"ChatGPT","modelGroup":"gpt","prompt":"2x2 grid, AI inferred topics, 16:9  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","promptZh":"2x2 网格，AI 推断的主题，16:9 一个自上而下的平铺图，其中 [THEME] 对象按现实世界的频率排列，最常见的密集地聚集在一侧，最稀有的则单独矗立在另一侧并留有开放空间，密度分布形成 [SHAPE] 的轮廓 ::5 频率逻辑：AI 推断 40–60 个按真实稀有度或普遍度排序的主题对象，通过排列使视觉密度直接编码频率 — 丰裕表现为拥挤，稀有表现为孤立 — 密度梯度一目了然 ::5 构图：密度分级的排列，平滑的从拥挤到稀疏的过渡，清晰的轮廓边缘，宽裕的边距 ::3 材质物理：真实的主题对象，准确的材质，一致的哑光饰面，柔和的阴影 ::2 照明：平坦的顶置柔光箱，无眩光 ::2 排版：沿底部边缘的微小频率标签 ::2 渲染堆栈：密度图平铺，频率密集集合，数据可视化排列，8k ::1 负面词：[均匀间距，密度不匹配，破碎的轮廓，完全重叠，倾斜，3D 透视，手] ::-1","promptVariants":[{"text":"2x2 grid, AI inferred topics, 16:9  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 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