GPT-Image-2 Case · Small Multiple Climate Grids

A reference case from the Data Visualization showcase featuring GPT-Image-2, suitable for exploring generation results in the "Small Multiple Climate Grids" direction.

Author: AI Plus Lab

✦Results

◌Case Background

来自 GPT-Image2-Skill README 的精选展示条目，适合作为“数据可视化 / 小多重气候网格”方向的站内参考案例。

⌘Prompt Content

Produce a clean editorial data visualization poster showing a 4x3 small-multiples grid of monthly climate charts for 12 fictional cities. Use a white background, generous margins, and a restrained palette of navy, rust, sky blue, olive, and charcoal. Each mini-panel should contain a temperature line and precipitation bars with consistent axes and ultra-legible labels. Include a title block with the in-image text "Annual Climate Profiles" and subtitle "12 Cities, 2025". Label panels "Northport", "Solmere", "Aster Bay", "Ridgefall", "Halcyon", "Verdin", "Glass Harbor", "Red Mesa", "Moonfield", "Lake Arden", "Cinder Point", and "Juniper". Use month labels "J F M A M J J A S O N D" and axis labels "Temp °C" and "Rain mm". Add numeric legend values "0", "10", "20", "30", and "100". Keep the composition highly structured, scientifically clear, and visually elegant, with crisp typography, aligned scales, and publication-grade chart rendering.

✎Outcome Notes

This case has been moved from GPT-Image2-Skill README to AIPlusLab `/prompts`, making it convenient for on-site search, browsing, and reuse.