Diffusion-based multi-modal virtual try-on pipeline demo
Generate images with SD3.5
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Generate images from text prompts
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Flux is the HF way 1
NFSW Image Generation
Generate high-resolution images with text prompts
Generate image variations
Generate Ghibli-style images from a text prompt
Generate intrinsic images (Albedo, Specular Shading) from a single image
Virtual Try-On Diffusion [VTON-D] is a cutting-edge, diffusion-based multi-modal virtual try-on pipeline designed to generate photorealistic images of individuals wearing specific clothing items. This tool leverages advanced AI technology to seamlessly combine a user's photo with a target clothing image, producing a natural and realistic virtual try-on experience.
• Diffusion Model Integration: Utilizes state-of-the-art diffusion models for high-quality image generation.
• Multi-Modal Input Handling: Accepts both image and text inputs to customize the try-on experience.
• Photorealistic Outputs: Generates highly realistic images with precise alignment of clothing on the user's body.
• User-Friendly Interface: Designed for ease of use, allowing users to upload photos and clothing images directly.
• Customizable Options: Supports adjustments to poses, styles, and other visual attributes for personalized results.
What types of clothing can I use with VTON-D?
VTON-D supports a wide range of clothing images, including tops, dresses, jackets, and more. Ensure the clothing image is clear and well-lit for the best results.
How long does it take to generate a virtual try-on image?
Generation time varies depending on the complexity of the inputs and the system's processing power. Typically, it takes a few seconds to a minute for high-quality outputs.
Can I use VTON-D without any technical expertise?
Yes, VTON-D is designed to be user-friendly. You can upload your photos and clothing images directly through the interface without needing advanced technical knowledge.