TryOn Diffusion

User uploads a photo of themselves.

User selects a shirt from the e-commerce catalog.

TryOn Diffusion overlays the shirt onto the user's image using pose estimation and garment segmentation.

User can adjust the shirt's position and size for a perfect fit.

User can view the result from different angles.

User uploads a photo of their face.

User selects a pair of glasses from the catalog.

TryOn Diffusion overlays the glasses onto the user's face, adjusting for size and position.

User can switch between different styles and colors.

User can share the result with friends for feedback.

User uploads a selfie.

User selects a makeup product (e.g., lipstick, eyeshadow).

TryOn Diffusion applies the selected shade to the user's face, considering skin tone and lighting.

User can adjust the intensity and opacity of the makeup.

User can compare different shades side-by-side.

User uploads a photo of their neck, wrist, or finger.

User selects a necklace, bracelet, or ring from the catalog.

TryOn Diffusion overlays the jewelry onto the user's image, adjusting for size and position.

User can zoom in for a detailed view.

User can see how the jewelry looks with different outfits.

User uploads a clear headshot.

User selects a hairstyle or color from the available options.

AI maps and applies the selected style/color, adjusting for face shape and skin tone.

The user can try multiple styles and compare them side-by-side.

User can also adjust the intensity and highlights of the color.