Originaldokument
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.Verwendung
- Den vollständigen Original-Prompt einschließlich Parametern kopieren.
- Motiv, Text und Komposition an die eigenen Anforderungen anpassen.
- Ein kompatibles externes Werkzeug nutzen; Zugangsbedingungen und Ergebnis prüfen.
Vor dem Start
- Prüfen, ob ein Referenzbild nötig ist. Kompatibilität belegt nicht das tatsächlich verwendete Modell.
- Namen, Zahlen und Bildtexte prüfen; Modellversionen können andere Ergebnisse liefern.
