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.
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.
Results are generated in under 10 seconds for the web app and 5-17 seconds for the API endpoints like tryon-v1.6.
It supports on-model photos, flat-lay, ghost mannequin, any pose, apparel category, and camera angle.
Yes, it preserves prints, textures, colors, graphic prints, text, body proportions, skin texture, and tattoos.
Yes, RESTful API with endpoints like tryon-v1.6, face-to-model, model-create, and model-swap, plus a dashboard for monitoring.
E-commerce virtual fitting rooms, fashion photoshoots, content creation, product photography, and garment visualization without samples.
Yes, available for commercial use with support for organizations, multiple users, credits, and data isolation.
576x864 resolution, with plans for higher resolutions while maintaining garment realism.
15 free generations upon signing up.
Better handling of bulky/loose garments, improved identity preservation, 2x speed boost, and simplified controls.
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