<aside> 🛠

Remove People, Objects, or Blemishes

Removes unwanted objects, people, shadows, or blemishes from photos and replaces them with realistic backgrounds.

</aside>

What it does

Image Eraser removes unwanted objects from your photos and intelligently fills the space with realistic background. Instead of cropping or leaving a blank spot, it uses AI to understand the surrounding context and generate a natural-looking replacement. You simply mark what you want removed (using a mask), and the model regenerates that area as if it was never there. Works on any type of photo—people, objects, nature, architecture, anything.

Problem it solves

• Photobomb removal – That random person in the background of your photo
• Unwanted objects – Power lines, poles, litter, signs, vehicles ruining the shot
• People removal – Ex-partner, stranger, or random person in group photos
• Blemishes & defects – Scratches, spots, or marks on photos and documents
• Shadow/reflection cleanup – Unwanted shadows, reflections, or light artifacts
• Social media & publishing – Clean up photos for posts, articles, product images
• E-commerce & real estate – Remove clutter from product/property photos
• Professional editing – Efficient alternative to manual photoshop work
• No special tools needed – Just draw a rough outline of what to remove (mask)

Input/Output

• Input: Original photo + mask

  

  • Photo: Any RGB photo (JPEG, PNG, etc.)

• Mask: A rough outline of what to remove (same size as photo)

  • Tools: Image Masker / Image Masker by Class / Image Masker by Coord
  • White/bright = regions to erase (the "bad" parts)
  • Black/dark = regions to keep (the "good" parts)
  • Can be rough—the AI figures out the exact details

  <aside>

  • An example to create a Mask (with Image Masker in this case)

    • Add an Input Image and connect with Image Masker

    

    • Create Mask
    • Brush regions to erase and Apply Mask when done

    

    • Run Flow to download a Mask image

    

  • Random Seed: Any number; controls the variation in generated content (same seed = same result)

  • The number of diffusion steps: 10–100 (more steps = higher quality but slower)

    • 10-20 steps: Fast preview
    • 50 steps: Good balance (quality & speed)
    • 100 steps: Slower but best quality </aside>

  <aside>

  • Output: The same photo with object removed
    • Same resolution as input
    • Unwanted region replaced with realistic, context-aware background
    • Seamlessly blended with surrounding content
    • RGB image (JPEG, PNG, or tensor)

  

  

  Before & After

  </aside>

Accuracy & Speed