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.