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Kumarika — AI-Generated Social Concepts

Kumarika — AI-Generated Social Concepts

Case Metadata

Client Self-Initiated Concept
Year 2026-03
Category AI Projects

The Work

SELECTED PIECES

3 designs • click any to enlarge

Project Case Study

Why This Exists

A companion to the video concept, and equally a demonstration rather than client work. Social imagery for a beauty brand is a high-volume, high-standard job — a feed needs a constant supply of images that all look expensive and all look related.

That combination is exactly where generative tools should earn their place, so it made sense to test them against it.

What It Shows

  • Photographic quality without a shoot. No studio, no model booking, no retouching pipeline — the kind of imagery that would normally need all three.
  • Consistency across a set. The same lighting logic, the same styling and the same product treatment across every frame, which is the part that usually breaks when images are generated one at a time.
  • Product accuracy. Pack shape, label and typography have to survive generation, otherwise the image is unusable no matter how good it looks.
  • Volume economics. The argument is not that AI makes a better single image. It is that it makes the twentieth image as affordable as the first.

The Honest Version

This is a capability demonstration built around an existing brand's category. It was not commissioned, and it did not run.

Credits

  • Self-initiated concept — not commissioned by, or affiliated with, the brand.
  • Concept & AI Generation: Shehan Nimantha