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.
Creative use cases
- Virtual try-on for product pages
- On-model imagery from flat lays
- Reducing size and fit related returns
Free resources for Fashn
All resources →The structure behind a prompt that works
The repeatable six-part order that turns a vague idea into a specific, controllable AI image prompt.
AI privacy settings checklist: turn off what you do not want trained on
The exact menus in ChatGPT, Gemini and Claude that control whether your chats train the model or get kept forever.
Prompts for customer support replies
Ten prompts for de-escalation, refunds, delays and FAQ answers that stay calm, specific and on-brand under pressure.
Recorded workshop · €49
AI Consistency (character & product) for fashion brands
The professional workflow for characters and products that stay identical from every angle, scene and shot.