Diffusion-based multi-modal virtual try-on pipeline demo
FitDiT is a high-fidelity virtual try-on model.
Try on clothes virtually using images
Try on virtual garments on a selected model
Try on virtual clothes by uploading images
Upload images to try on clothes virtually
Generate virtual outfits by combining images
Create virtual outfits by combining images
Generate virtual try-on image
Try on garments on images of people
Try on virtual garments on person images
Transfer clothes from one image to another
Try on clothes on a person image
Virtual Try-On Diffusion [VTON-D] is a cutting-edge AI-powered application designed for virtual try-on experiences. It leverages diffusion-based technology to create a multi-modal virtual try-on pipeline, enabling users to upload or describe clothing, avatars, and backgrounds to generate photorealistic images. This tool is ideal for fashion enthusiasts, e-commerce businesses, and anyone looking to visualize outfits in a virtual setting.
• Multi-Modal Input Support: Allows users to upload images or describe clothing, avatars, and backgrounds. • Diffusion-Based Technology: Generates high-quality, photorealistic virtual try-on images. • Customizable Options: Users can choose from various clothing items, avatars, and backgrounds. • Context-Aware Synthesis: Seamlessly blends clothing with avatars and environments for realistic results. • Editable Outputs: Enables fine-tuning of results for precise customization. • Efficient Processing: Optimized for fast image generation on modern GPUs.
What technology powers Virtual Try-On Diffusion [VTON-D]?
Virtual Try-On Diffusion [VTON-D] is powered by advanced diffusion-based AI models, which enable high-quality image generation and synthesis.
Can I use Virtual Try-On Diffusion [VTON-D] without uploading images?
Yes, you can describe clothing, avatars, and backgrounds using text prompts, allowing for fully text-based image generation.
How long does image generation take?
Image generation time depends on the complexity of the inputs and the computational resources used. On modern GPUs, results are typically generated within seconds to minutes.
Can I customize the avatar or background after generating the image?
Yes, Virtual Try-On Diffusion [VTON-D] allows for post-generation editing, enabling adjustments to avatars, backgrounds, and clothing details.