Checkout Campaign Toolkit Flatlay — ChaosRealmsAI · MIT

Checkout Campaign Toolkit Flatlay — ChaosRealmsAI · MIT

Original document

GPT Image 2 · en

Scene:
Create a square overhead commerce flatlay on a deep charcoal surface with hard directional light, sharp shadows, and intense contrast. The arrangement should feel strategic and high-pressure rather than messy. Use abstract sale chips, card-like shapes, carts, parcel tools, and product silhouettes laid out with editorial precision so the frame can work as a campaign support image for checkout pushes and cart-building reminders.

Subject:
Arrange a compact shopping toolkit made from generic products, cart handles, card-like forms, sticker blocks, packing tools, and parcel components. The viewer should immediately read purchase momentum, bundle logic, and checkout readiness without any readable interface text. The scene must feel digital-retail adjacent while remaining physically staged and photographically believable.

Important details:
Hierarchy and edge clarity matter more than spectacle. Use strong black, white, and yellow structure with maybe one metallic accent. Keep shapes crisp and conversion-minded, with every object contributing to urgency. The final image should feel like a campaign asset for cart reminders, flash-sale pushes, or deal countdown support rather than a random desk still life.

Use case:
Black Friday single study 5/9.

Constraints:
No readable text, no watermark, no logos, preserve exact 1:1 aspect ratio, no readable checkout text, no brand cards, no currency symbols, no rainbow palette, no cluttered receipts, no human hands, no broken shadows, no generic office stationery.

How to use

  1. Copy the complete original prompt, including any parameters.
  2. Replace the subject, text and composition with your own requirements.
  3. Use a compatible external tool; check its current access conditions and review the result.

Before you start

  • Check whether a reference image is required. A compatible model label does not mean this example was generated with that model.
  • Keep names, figures and visible text accurate; results can vary between model versions.

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