AI fashion photography in Colombia for ecommerce

A guide to AI photography for fashion brands in Colombia: physical garments, virtual models, 50 SKUs, human QC, and LEO and Leonisa work.

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For a fashion collection in Colombia, menswear and intimate apparel pose different visual questions. AI production should respect that difference: layers, front and back for one line; silhouette, detail and brand sensitivity for the other.

Two references, two readings

DELFI's published LEO and Leonisa cases illustrate these needs. The selection does not imply one brief for every garment or demonstrate commercial results. Explore LEO's presentation at Leonisa Colombia.

Menswear: construction and continuity

Define what front, back and detail views show. Review layers, lengths, collar, sleeves and drape. Styling supports the product but should not visually correct a proportion that does not match the garment.

Intimate apparel: silhouette and detail

Review proportions, finishes and the relationship between garment and model carefully. A photograph does not certify size or actual fit; those facts come from the product. Also agree on brand tone, poses and publication uses.

Organized production

Prepare SKU, variant, references and necessary views. DELFI coordinates physical garments, direction and human review; logistics are confirmed for the specific location and scope. The commercial minimum is 50 SKUs. The brand retains product and identity approval.

Published examples: DELFI × LEO

LEO × DELFI — real production 1

LEO × DELFI — real production 2

Explore the production in Portfolio

Published examples: DELFI × Leonisa

Leonisa × DELFI — real production 1

Leonisa × DELFI — real production 2

Explore the production in Portfolio

Brief for a brand in Colombia

  • Line: menswear or intimate apparel:
  • Required front, back, layers and details:
  • Silhouette and product references:
  • Brand tone and sensitivity:
  • Location and receipt to confirm:
  • Destinations and approval:

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Your next collection

What does your shopper need to see, and which part of production would you like to delegate? That is a useful starting point for defining your collection scope.

Discuss your collection with DELFI