AI Inpainting Guide - Fill and Replace Image Areas | Apatero | Apatero Blog - Open Source AI & Programming Tutorials
Editing

Fill and Replace Image Areas with AI Inpainting

Inpainting lets you select any region of an image and have AI intelligently fill it with new content that blends seamlessly with the surroundings. Whether you are removing unwanted objects, fixing flaws, or replacing entire sections, inpainting gives you precise editorial control over every pixel.

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What is Inpainting?

AI inpainting works by analyzing the surrounding context of a masked area and generating content that matches the lighting, perspective, texture, and style of the rest of the image. Unlike simple clone-stamp or fill tools, AI inpainting understands scene composition. It can remove a person from a crowd and reconstruct the background behind them, replace a cloudy sky with a sunset, or swap an object for something entirely different. On Apatero, you simply brush over the area you want to change, type a prompt describing what should appear there, and the AI handles the rest. The blending is automatic, producing results that look natural without visible seams or artifacts.

Available on: All plans (starting at $24.99/mo)
How It Works

Step-by-Step Inpainting Workflow

Follow these steps to get the best results with inpainting on Apatero

1

Select the Target Area

Use the brush tool to paint over the region you want to change. Adjust brush size for precision. Cover the entire area you want replaced, including a small margin around the edges for smoother blending.

2

Describe the Replacement

Write a prompt describing what should fill the masked area. Be specific about colors, objects, and style. For removal, you can simply leave the prompt empty or describe the background that should appear.

3

Generate and Compare

Run the inpainting and compare the result against the original. Generate multiple variations to find the best match. Pay attention to lighting consistency and edge blending.

4

Refine if Needed

If the first result is close but not perfect, mask a smaller area around the problem spots and run inpainting again. Iterative refinement produces the cleanest results.

Pro Tips

Tips for Better Inpainting Results

Use these tips to get the most out of inpainting on Apatero

1

Mask slightly larger than the target area to give the AI more context for blending

2

Use short, descriptive prompts focused on what should appear, not what you are removing

3

For object removal, leave the prompt empty and let the AI reconstruct the background naturally

4

Inpaint at the highest resolution available for cleaner edges and finer detail

5

Work in stages: remove the unwanted element first, then add the replacement in a second pass

6

Check the edges carefully and re-inpaint small border areas if you see visible seams

FAQ

Inpainting FAQ

Common questions about inpainting on Apatero

Q

Can inpainting remove people or objects from photos?

Yes. Inpainting excels at object removal. Mask the person or object, leave the prompt empty, and the AI will reconstruct the background as if the subject was never there. Complex backgrounds with patterns or textures are handled automatically.

Q

How is inpainting different from img2img?

Inpainting changes only the masked area while preserving everything else. Img2img transforms the entire image based on a new prompt. Use inpainting for targeted edits and img2img for full-image style changes.

Q

Does inpainting work on photographs or only AI-generated images?

Inpainting works on any image, including photographs, screenshots, digital art, and AI-generated content. Upload any image to Apatero and start editing immediately.

Q

How do I avoid visible seams around the inpainted area?

Mask slightly beyond the target area to give the AI overlap room for blending. If seams still appear, run a second inpainting pass on just the border region with a smaller brush.

Q

Can I inpaint multiple areas in one image?

Yes. You can mask multiple disconnected regions in a single pass. The AI will fill each area independently while maintaining overall image coherence.

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