Inpainting
AI technique that fills in or replaces parts of an image by generating new pixels that match the surrounding context.
What is Inpainting?
Inpainting is an AI technique that fills in missing or unwanted parts of an image by generating new pixels that blend seamlessly with the surrounding area.
You select what to remove or change (a person, object, or damaged area), and the AI analyzes the context to create realistic replacement content.
Builders use it for everything from cleaning up product photos to extending image backgrounds. Tools like Photoshop's Generative Fill, Stable Diffusion, and Midjourney all include inpainting features. Most work by masking the area you want to change, then using diffusion models to generate contextually appropriate pixels.
Pricing varies by tool. Photoshop requires a subscription, while open-source options like Stable Diffusion are free to run locally.
Good to Know
Works by masking an area and generating contextually appropriate pixels to fill it
Powered by diffusion models that understand image context and textures
Available in Photoshop, Stable Diffusion, Midjourney, and other AI image tools
Can remove objects, fix damaged areas, or extend backgrounds seamlessly
Quality depends on how well the AI understands surrounding context
How Vibe Coders Use Inpainting
Removing unwanted objects from product photos before launching
Fixing damaged or low-quality sections of images for your landing page
Extending backgrounds to fit different aspect ratios across platforms
Cleaning up user-generated content for your app or marketplace
Frequently Asked Questions
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