The Visual Try-On Chrome Extension is a Chrome browser plugin that utilizes artificial intelligence image processing technology to allow users to virtually try on clothing on any e-commerce website. The extension captures the main product image using OpenAI GPT-4, uploads the user's photo to Cloudinary, processes the image using the Kolors model from Hugging Face, and stores the results in the browser cache for better usability. It protects user privacy by not sending personal data or photos to servers, except during AI processing on Hugging Face.

Kolors Virtual Try-On is a virtual fitting application that combines artificial intelligence and augmented reality technologies to create natural and aesthetically pleasing try-on effects based on the uploaded model image and selected clothing. This product supports a complete workflow from generating model images to creating short videos, fulfilling the generation needs for e-commerce model materials.

CatVTON is a virtual try-on technology based on a diffusion model, featuring a lightweight network (total of 899.06M parameters), parameter-efficient training (49.57M trainable parameters), and simplified inference (less than 8G VRAM at 1024X768 resolution). By streamlining the network structure and inference process, it achieves quick and effective virtual fitting results, making it particularly suitable for the fashion industry and personalized recommendation scenarios.

The Visual Try-On Chrome Extension is a Chrome browser plugin that utilizes artificial intelligence image processing technology to allow users to virtually try on clothing on any e-commerce website. The extension captures the main product image using OpenAI GPT-4, uploads the user's photo to Cloudinary, processes the image using the Kolors model from Hugging Face, and stores the results in the browser cache for better usability. It protects user privacy by not sending personal data or photos to servers, except during AI processing on Hugging Face.

Kolors Virtual Try-On is a virtual fitting application that combines artificial intelligence and augmented reality technologies to create natural and aesthetically pleasing try-on effects based on the uploaded model image and selected clothing. This product supports a complete workflow from generating model images to creating short videos, fulfilling the generation needs for e-commerce model materials.

CatVTON is a virtual try-on technology based on a diffusion model, featuring a lightweight network (total of 899.06M parameters), parameter-efficient training (49.57M trainable parameters), and simplified inference (less than 8G VRAM at 1024X768 resolution). By streamlining the network structure and inference process, it achieves quick and effective virtual fitting results, making it particularly suitable for the fashion industry and personalized recommendation scenarios.