FASHN Virtual Try-On

FASHN is a trailblazing, self-funded AI-first company dedicated to revolutionizing the fashion industry with cutting-edge image-based generative models. Specializing in virtual try-on technology, FASHN’s platform allows fashion brands to showcase their collections with exceptional accuracy, ensuring every garment detail is captured. Designed with industry standards in mind, FASHN’s solution enables seamless virtual try-ons, making it easier for brands to offer customers an immersive and realistic shopping experience.The virtual try-on technology features rapid generation times (around 11 seconds per image) and outputs at a sharp 576x864 resolution, maintaining garment accuracy as a top priority. New users get 15 free generations upon signing up, and the technology is commercially ready for integration. The process is simple: upload an image of yourself, a model, or even an AI model created within the app, add an image of the garment, and select the type of image (flat lay or model). Users can download the final image and share it through a public link. FASHN offers both a Web App and an API for brands and developers. The web app provides an intuitive interface for generating realistic try-ons with ease, while the API lets businesses integrate FASHN’s technology into their own platforms. This flexibility allows fashion brands to build directly on FASHN’s powerful platform, streamlining the virtual try-on experience for their customers. The company’s focus on accuracy means that, while FASHN plans to offer even higher-resolution outputs in the future, garment resemblance will always be their top priority. This dedication to pixel-perfect details is central to FASHN’s mission to meet and exceed the high standards expected in the fashion world. Led by co-founders Aya Bochman, a software engineering specialist, and Dan Bochman, an AI and machine learning expert, FASHN continues to push the boundaries of fashion technology. For inquiries or to connect with the community, FASHN invites users to join their Discord channel or reach out via email.

Key Features

• Pixel-Perfect: Ensures that the virtual representation of garments is as accurate as possible.

• Background Preservation: Maintains the original background context in virtual try-ons.

• Versatile Poses: Supports multiple poses to showcase garments in various ways.

• Input Flexibility: Accepts a diverse range of inputs to cater to different user needs.

• Perfect Resemblance: Prioritizes keeping the virtual garment as similar as possible to the reference garment.