Fabric To Virtual Dress
Keywords:
Fabric Visualization, AI in Fashion, Stable Diffusion, Computer Vision, Outfit Customization, Digital Fashion Preview, Fabricto- Dress Mapping, Real-Time Visualization, Image Generation, Flask Web Development, MongoDBAbstract
The "Fabric to Virtual Dress" project
presents a web-based application designed to
revolutionize the traditional garment selection
process by enabling users to visualize how a fabric
will appear on a chosen dress model. By
integrating computer vision and AI techniques—
specifically Stable Diffusion for image
generation—the system allows users to upload
fabric images and preview their appearance on
customized outfit styles in real time. This virtual
try-on experience enhances the shopping and
tailoring process by reducing reliance on physical
samples and minimizing fabric waste. The
application supports personalization, offers
greater convenience, and helps users make
informed fashion decisions. Built with a modern
tech stack including HTML, CSS, JavaScript,
Flask, and MongoDB, the system provides a
scalable and user-friendly platform suitable for
both individual consumers and fashion retailers
