原文
GPT Image 2 · en
Based on { TOPIC }, create a high-quality vertical “encyclopedia-style educational infographic image.”
This image should NOT look like a regular poster or a simple illustration. Instead, it should feel like a structured knowledge guide that combines:
the feeling of a collectible reference handbook
a modern encyclopedia page
a lifestyle knowledge card
and a highly shareable social-media infographic
The overall style should resemble a premium natural-history guidebook mixed with modern editorial infographic design.
The image should include:
One beautiful and highly detailed main subject image
Several zoomed-in detail sections highlighting important features
Multiple modular information panels with rounded corners
Clear title hierarchy and highlighted key labels
Concise yet information-rich encyclopedia content
Visual scoring systems, quick summaries, or “Top 5” modules
The information sections should automatically adapt to the topic. Select and combine relevant categories such as:
Basic profile
Classification / taxonomy
Physical characteristics
Behavior / ecology / habits
Structure or formation mechanisms
Growth conditions or usage methods
Care, maintenance, or optimization tips
Risks, warnings, and important notes
Suitable users or application scenarios
Pros and cons comparison
Quick rating tags or summary cards
Visual requirements:
Clean light-colored background
Soft and elegant color palette
Gentle shadows
Small refined icons
Rounded information boxes
Organized editorial layout
High information density without feeling crowded
Comfortable reading experience
The final result should feel like a real publishable encyclopedia knowledge card designed for reading, collecting, and creating as part of a consistent series — NOT like a commercial advertisement poster.
The image must strongly emphasize:
“knowledge integration + modular information design + handbook/reference-style presentation.”使い方
- パラメータを含む元のプロンプト全体をコピーします。
- 被写体、文字、構図を自分の要件に置き換えます。
- 対応する外部ツールで使用し、利用条件と結果を確認します。
開始前の確認
- 参考画像の要否を確認してください。互換モデルの表示は、そのモデルでの生成実績を意味しません。
- 名前、数値、画像内の文字を確認します。モデルの版で結果は変わります。
