Fashion-Specific AI

Fashn

Virtual try-on AI for realistic garment-on-model visualization

Fashn specializes in virtual try-on: given a photo of a garment and a photo of a person, it generates a realistic composite showing how the item would actually look worn, preserving fabric texture, drape, and fit rather than just pasting the garment on top. E-commerce teams use its API to power try-on features on product pages, letting shoppers see items on a model or even on their own photo, which has been shown to reduce return rates when implemented well. Marketing teams also use it to quickly generate on-model shots from existing flat-lay inventory without a studio shoot. Quality depends on clean, well-lit source images on both sides.

Fashion use cases

  • Virtual try-on for product pages
  • On-model imagery from flat lays
  • Reducing size and fit related returns

Fashion AI School

Learn to use Fashn inside real fashion projects.

Live programs, workshops and consulting from Fashion AI School.