怎么填变量：[联盟名称] 写你的项目或机构名，比如"长三角高校联盟""某某供应链"；图例类别换成你的实体类型，例如"总部、分公司、门店、合作方"；枢纽名称写最重要的 3～5 个主体，越短越好。示例图是深色背景上的英文网络图：顶部标题，左上角四色图例，右上角统计卡写着 Nodes 36 / Edges 92 / Density 0.146，五个带图标的大圆形枢纽围着中央的总节点，底部一排带头像图标的顾问人名。示例图是英文版，中文版标签越多越容易出错字。

常见问题与调整：

• 标签重叠挤成一团：把节点数降到 20 左右，加"小节点只画点不写名字"。
• 看起来像随机散点：要求"按类型分区，同类节点聚成一簇，枢纽之间用粗线连接"。
• 汇报 PPT 是浅色主题：把背景改成"米白色"，节点颜色改为"深蓝、橙、灰"。
• 想突出某一个主体：加"[某节点]放在正中央，尺寸最大，周围有光晕"。

适合：汇报封面、科普文章配图、概念示意；不适合当作真实数据分析结果，图里的数字和连线不代表任何实际统计。

英文原版

Generate a sophisticated network graph visualization on a dark charcoal canvas showing collaborations across a fictional research consortium called ORBIT GRID. Use glowing node colors in teal, amber, coral, pale blue, and white, with fine connecting lines and clean labels. The composition should be balanced, readable, and intentionally designed rather than random. Include a title in crisp text reading "ORBIT GRID Collaboration Network" and a legend with "Institute", "Lab", "Project", and "Advisory". Show approximately 36 nodes, with larger hubs labeled "Helix Center", "Nova Lab", "Aster Institute", "Cinder Bio", and "Polar Systems". Add edge labels sparingly, such as "shared data", "joint grant", and "coauthor". Include a right-side stats card reading "Nodes 36", "Edges 92", and "Density 0.146". Emphasize clean hierarchy, accurate node-label placement, anti-overlap spacing, subtle depth, and crisp typography suited for a polished technical visualization generated by gpt-image-2.

改编自 wuyoscar/GPT-Image2-Skill 收录的提示词（仓库整理），许可证 MIT（Copyright (c) 2026 Wuyoscar）。