Image Editing

An overview of the four image editing tools in Qolaba — Inpainting, Upscaling, Background Removal, and Image Variation — what each does and when to use it.

Image Editing Tools allow you to modify, enhance, and transform existing images without regenerating from scratch. Each tool is purpose-built for a specific type of edit — from selectively replacing parts of an image to increasing resolution, removing backgrounds, and generating creative variations.


Available Tools

Tool
What It Does
Best For

Selectively replace or modify a specific area of an image using a brush and prompt

Removing objects, changing details, fixing artifacts

Increase image resolution 2x to 4x without regenerating

Print preparation, high-resolution export, large-format display

Automatically detect and remove the background from any image

Product photography, design assets, social media content

Generate creative variations inspired by reference images

Style exploration, A/B testing visuals, creative iteration


When to Use Editing Tools vs. Regenerating

Editing tools are most valuable when the core subject, composition, or structure of an image is already correct and you only need to modify a specific element. Regenerating from scratch makes more sense when the overall direction needs to change.

Situation
Recommended Approach

Background needs replacing

Background Removal + new generation, or Inpainting

One object needs changing

Inpainting

Image needs higher resolution

Upscaling

Need alternative versions of an image

Image Variation

Overall composition is wrong

Regenerate with refined prompt

Style needs complete change

Regenerate with new model or preset


What's in This Section

  1. Image Inpainting → How to mask and replace specific areas of an image using a brush tool and text prompt.

  2. Image Upscaling → How to increase image resolution from 2x to 4x for print and high-fidelity output.

  3. Background Removal → How to automatically isolate subjects from their backgrounds for clean, production-ready assets.

  4. Image Variation → How to generate aesthetically diverse versions of an existing image while maintaining the core subject.

Last updated