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Runflow

Object Removal

Remove an unwanted object or region from a photo. Mark the area to remove with a black-and-white mask. The model rebuilds the background using surrounding context.

By Runflow

Pricing: $0.2 per request

Overview

**Object Removal** clears a region of an image and rebuilds the background to match the rest of the scene. You control exactly what gets removed by providing a black-and-white mask.

How it works

Send the source photo and a paired black-and-white mask of the same dimensions. White pixels mark what to remove, black pixels mark what to keep, soft greys produce partial blending. The model rebuilds the masked area using surrounding context and returns the cleaned image at the original resolution.

Common use cases

  • Removing props, watermarks, or distractions from product shots
  • Cleaning up backgrounds before composition
  • Editing portraits to remove clutter
  • Marketing asset prep at scale

Examples

  • 06-portrait-person-bg
  • 01-beach-plastic-bottle
  • 02-cafe-people-bg
  • 07-table-coffee-stain
  • 09-portrait-jewelry-remove
  • 10-product-price-tag

Frequently asked questions

What is Object Removal?
A first-party Runflow workflow that takes an image plus a black-and-white mask and removes the masked region, rebuilding the background to match the surrounding scene.
How much does Object Removal cost on Runflow?
Simple fixed pricing: $0.48 per image.
What format should the mask be?
A standard black-and-white image (PNG/JPG/WEBP) at the same dimensions as the source. White pixels = remove; black = keep.
How is this different from manual Photoshop content-aware fill?
Object Removal synthesises a plausible scene continuation rather than simple texture-cloning. Better for non-repeating backgrounds.
Can I use the outputs commercially?
Yes.
How long does Object Removal take?
60–150 seconds typically, depending on the size of the masked region.

Related models

  • Object Removal (Prompt), Remove requested objects from a photo using a short text instruction. The model restores the background without requiring a mask.
  • Product Isolation, Isolate the main product from a busy scene onto a clean background, using an optional text prompt to disambiguate the subject. Built for studio-grade product photography at scale.
  • Tag Removal, Remove price tags, stickers, and labels from product images while preserving the underlying material and lighting. Ideal for re-listing inventory or cleaning up user-submitted photography.
  • Model Removal, Remove the human model from a garment or apparel photo and recover a clean flat-lay or ghost-mannequin view. Designed for fashion catalogs and PDP hero shots.

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