
原文
GPT Image 2 · en
Scene:
A square retail-ready campaign visual for Cute Product Explainer Poster, combining cute character appeal with polished commercial presentation. The composition should feel like a high-finish launch board: crisp packaging edges, collectible object staging, clean shelf or poster context, and vivid but controlled color. It should be immediately legible from far away, but still dense with charming small details that reward closer inspection.
Subject:
Build the image around Explainer Board, a frame that a charming information board that breaks the product or character world into clear visual sections. Translate Use chibi or mascot characters to explain complex products, workflows, or features through playful yet commercially clear explainer posters. into one lovable mascot, figure, or product system that feels ready for posters, boxes, stickers, inserts, or point-of-sale material. The result should feel like a fresh research image with clear commercial focus rather than random fan art. The main subject must remain unmistakable even when surrounded by accessories and display pieces.
Important details:
Charm alone is not enough. Preserve clean silhouette recognition, convincing package construction, reliable prop scale, and structured layout logic so the image feels sellable. This theme studies structured-layout, text-rendering, commercial-mockup, style-transfer through a production-ready visual system. Avoid noisy clutter; every secondary element should reinforce collectibility, retail desirability, or explainer clarity. Aim for clear hierarchy, polished craft, and immediately usable campaign logic.
Use case:
Cute Product Explainer Poster single study 1/5.
Constraints:
No readable text, no watermark, no logos, preserve exact 1:1 aspect ratio, no horror elements, no brand theft, no malformed packaging edges, no muddy mascot silhouette, no messy retail shelf, no chaotic prop overload.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。





