Product to Model
Convert flat-lay, mannequin, and ghost-mannequin images into on-model photos from a single product image, with output designed for fashion PDPs and catalog imagery.
FASHN
ClaimFASHN is an AI fashion studio for realistic product imagery, model shots, and virtual try-on outputs with app and API workflows.
Overview
FASHN is an AI fashion studio for brands, agencies, and creative teams that need realistic product imagery, model shots, and virtual try-on outputs. The site presents it as a fashion-focused platform with in-house AI models for apparel and accessories, available through a web app, iOS app, and API.
Its core workflows include Product to Model, Model Swap, Virtual Try-On, and consistent model generation. The product pages describe use cases such as turning flat-lay or mannequin shots into on-model images, swapping models while preserving the garment, and creating fitting-room style try-on experiences for fashion content or consumer apps.
Features
Model Swap
Replace the model in a fashion image while keeping the product, pose, lighting, and background consistent so you can adapt imagery without reshooting.
Virtual Try-On
Generate try-on results for fashion apparel by uploading a reference image and a garment image, with support for consumer-facing fitting-room workflows and fashion content creation.
Consistent Models
Keep the same face across generated images using FASHN Faces or custom face references on higher-tier plans, which helps maintain model consistency in a campaign.
Image and Video Generation
Create AI fashion videos and generate or upscale images in the app, with plan-based resolution options up to 4K and video output up to 1080p on higher tiers.
Use Cases
E-commerce product imagery
Turn flat-lay, mannequin, and ghost-mannequin product photos into on-model imagery for PDPs, marketplaces, and campaign assets.
Consumer-facing fitting rooms
Run virtual try-on experiences for shopping apps or fashion sites so customers can preview garments on a model before purchase.
Model-led campaign adjustments
Replace the model in existing fashion photos to better match a brand audience or avoid reshoots while keeping the garment presentation intact.
Consistent visual series
Keep a recognizable face across multiple generated images so a collection or lookbook uses the same model identity across outputs.
Production workflows for teams
Use the API or app workflow to generate fashion visuals at scale, with team access and credit-based usage suited to ongoing production needs.
Pros and Cons
Pros
- Covers several fashion-specific workflows in one product, including product-to-model conversion, model swapping, and virtual try-on.
- Supports both app use and API-based workflows, which is useful for teams and developers with different integration needs.
- Offers a free starting allotment of 10 credits so new users can test the core workflows before subscribing.
- Provides plan-based team access, with collaboration limits that increase on higher tiers.
- Includes explicit notes on commercial use for generated images on the virtual try-on page.
Cons
- Some capabilities are described only at a high level on the main site, so output details and workflow limits are not fully documented in the provided sources.
- The available sources do not include a dedicated integrations or developer docs page, so implementation details beyond the app/API references are limited.
- The pricing page shows daily credits, monthly credits, and top-ups, which adds flexibility but also means usage limits depend on plan structure.
FAQ
Can I use FASHN outputs commercially?
Yes. The virtual try-on page says the app and API can be used for commercial purposes, and generated images are cleared for commercial use.
Is there a free trial?
The pricing page says every new account starts with 10 complimentary credits so you can try the core workflows before subscribing.
What happens to unused credits?
The pricing page says subscription and top-up purchases are non-refundable, and that daily credits expire after 24 hours while monthly credits reset with the billing cycle.
Which clothing categories are supported?
The virtual try-on page says the app supports most garment types, including tops, bottoms, dresses, outerwear, shoes, hats, scarves, and other wearable fashion items, while swimsuits and lingerie are excluded from the training dataset.
Does FASHN work on more than one platform?
The pricing page says subscriptions and credits are shared across the web app and iOS app, and the site also provides an app and API for different workflows.
Quick Facts
- Category
- AI Fashion Studio
- Primary users
- Brands, agencies, creative teams, and developers
- Platforms
- Web app, iOS app, API
- Core workflows
- Product to Model, Model Swap, Virtual Try-On, Consistent Models
- Pricing model
- Paid plans with 10 starter credits and plan-based credits
- Domain
- fashn.ai
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