Generative AI for Textile Design
Textilfy, an innovative textile startup, is faced with the challenge of standing out in a tremendously mature market. Traditionally, the industry demands a constant renewal of original patterns and designs to maintain competitiveness. However, successful designs are often replicated quickly, putting pressure on companies to continuously innovate while avoiding monotony. Textilfy seeks to implement a solution that allows the automatic and unique generation of textile patterns that also allows users to visualize how these patterns adapt to different types of garments before making final decisions for their production and printing.
WhiteBox has developed a comprehensive solution to address this challenge. The system uses advanced diffusion models, such as Stable Diffusion, to create new patterns based on textual descriptions provided by Textilfy users. ComfyUI, an open source graphic interface tool, makes it easy to view and modify these patterns on various clothing models. The entire process is automated using FastAPI and is enriched with super-resolution techniques to ensure top quality textile prints. The infrastructure is completely hosted in the AWS cloud, ensuring scalability and performance.
This system provides a platform that allows Textilfy customers to easily design and visualize custom patterns. By significantly reducing design times and costs, Textilfy not only optimizes its operations but also increases its sales of printed fabric. Customers can experiment and create their own designs directly from the web, removing the need to hire external graphic designers and thus eliminating one of the main resistances to buying that Textilfy customers have (the absence of an attractive design).
Customer Spending Anomaly & Alert System
AI-Driven B2B Lead Prioritization
