FASHN Virtual Try-On

Modality: Image, API
Last Updated: April 24, 2026
Pricing: Paid, Paid options from $9/month, Billing frequency: Monthly
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Overview

FASHN Virtual Try-On is an AI-powered tool that enables users to change clothes in model photos using a reference garment image, delivering pixel-perfect accuracy while preserving details like prints, textures, colors, and body proportions. Pre-trained on 18 million high-quality try-on examples, it supports versatile inputs including on-model, flat-lay, and ghost mannequin photos across any pose, apparel category, or camera angle, with background preservation. Available through a user-friendly web app or RESTful API, it generates results in under 10-17 seconds at 576x864 resolution, ideal for e-commerce virtual fitting rooms, fashion photoshoots, content creation, and product visualization without physical samples. The solution is commercially viable, with organization support for multi-user access and integrations into websites or apps.

Pros & Cons

Pros

  • Lightning fast generation in ~11 seconds per image
  • Pixel-perfect accuracy preserving garment details like prints and textures
  • Versatile support for any pose, apparel category, and input types (flat-lay, on-model)
  • Background preservation and natural body proportions
  • User-friendly web app and developer API for easy integration
  • Pre-trained on 18 million examples for lifelike results without setup
  • Commercial use available with organization multi-user support

Cons

  • Limited primarily to the fashion industry
  • Potentially inaccurate garment replication in some cases
  • Dependent on input image quality for best results
  • No offline capabilities mentioned
  • May struggle with complex patterns or bulky garments
  • Unclear long-term update and maintenance procedures
  • Limited information on integration with all platforms
  • Dependency on high-resolution input images
Q&A
What is FASHN Virtual Try-On? +

FASHN Virtual Try-On is an AI tool for changing clothes in model photos using a reference garment image with pixel-perfect accuracy, available via web app or API.

How fast is the generation? +

Results are generated in under 10 seconds for the web app and 5-17 seconds for the API endpoints like tryon-v1.6.

What input types does it support? +

It supports on-model photos, flat-lay, ghost mannequin, any pose, apparel category, and camera angle.

Does it preserve details? +

Yes, it preserves prints, textures, colors, graphic prints, text, body proportions, skin texture, and tattoos.

Is there an API available? +

Yes, RESTful API with endpoints like tryon-v1.6, face-to-model, model-create, and model-swap, plus a dashboard for monitoring.

What are the use cases? +

E-commerce virtual fitting rooms, fashion photoshoots, content creation, product photography, and garment visualization without samples.

Is it suitable for commercial use? +

Yes, available for commercial use with support for organizations, multiple users, credits, and data isolation.

What is the output resolution? +

576x864 resolution, with plans for higher resolutions while maintaining garment realism.

How many free generations are there? +

15 free generations upon signing up.

What improvements were in v1.5? +

Better handling of bulky/loose garments, improved identity preservation, 2x speed boost, and simplified controls.

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