Try on clothes virtually with images
Enhance faces in images
Replace parts of an image using text prompts
A gradio demo for Posterior-Mean Rectified Flow (PMRF)
Game builder simulations etc
Prompt with Images in flux[dev]
Edit images using text prompts and concepts
Modifies one detail or background of your image, freely
Flip vertical images from webcam
Replace objects in images with new content
Generate Mask Image from Sketch
Replace objects in images easily
ColorFlow: Retrieval-Augmented Image Sequence Colorization
CatVTON is an AI-powered image editing tool designed to enable virtual try-ons for clothing and apparel. It allows users to visualize how different outfits would look on themselves or models without physically wearing the clothes. This innovative solution leverages advanced image processing and 3D mapping technologies to create realistic and lifelike results.
• Virtual Try-On: superimpose clothing items onto images of people seamlessly. • 3D Carving Technology: accurately aligns clothing with the body shape and posture in the image. • Texture Mapping: preserves fabric textures and patterns for a realistic appearance. • Background Editing: ability to remove or modify backgrounds for cleaner visuals. • User-Friendly Interface: easy-to-use controls for quick adjustments and customization.
What technology does CatVTON use?
CatVTON uses AI-powered image processing and 3D mapping to create realistic virtual try-ons.
Can I use any type of image?
Yes, CatVTON supports popular image formats like JPG, PNG, and BMP.
How accurate is the try-on feature?
The accuracy depends on the quality of the input image and the complexity of the clothing item. Generally, results are highly realistic due to the advanced 3D carving technology.