Generate clothes try-on images using custom clothes and poses
FitDiT is a high-fidelity virtual try-on model.
High-fidelity Virtual Try-on
Try on clothes virtually from your images
Upload person and garment images to get a virtual try-on result
See how Jeans Fits You
Try on clothing for selected AI models
Try on garments by uploading images
Diffusion-based multi-modal virtual try-on pipeline demo.
Transfer clothes from one image to another
Try on clothes on a person image
Generate a virtual outfit by combining model and garment images
Generate outfits by trying on garments
HR VITON Streamlit is a web-based application built using Streamlit, designed to enable users to virtually try on clothes. It leverages advanced AI technology to generate high-quality images of custom clothing items on virtual models, allowing users to explore different outfits and poses. The app is user-friendly and integrates seamlessly with your browser, making it accessible for both casual users and fashion professionals.
• Virtual Try-On: Upload custom clothes and see how they look on virtual models.
• Custom Clothing Upload: Supports various clothing formats for personalized styling.
• Pose Adjustment: Adjust the model's pose to match your desired look.
• Real-Time Preview: See the results instantly as you make changes.
• User-Friendly Interface: Intuitive design for easy navigation and customization.
• Shareability: Download or share your virtual try-on results effortlessly.
What are the system requirements to run HR VITON Streamlit?
You need Python installed on your system, along with the Streamlit library. A modern browser is also required for the best experience.
Can I use any type of clothing image with HR VITON Streamlit?
Yes, HR VITON supports various clothing formats, but ensure the images are high-quality and properly segmented for the best results.
How do I share my virtual try-on results?
You can download the generated image directly from the app or share the link to the Streamlit interface with others.