What is inpainting vs outpainting?

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What is inpainting vs outpainting?

Asked on Sep 12, 2025

Answer

Inpainting and outpainting are techniques used in AI image generation to modify or extend images. Inpainting involves filling in missing or corrupted parts of an image, while outpainting extends the boundaries of an image by generating new content that seamlessly blends with the existing image. These methods are often used in tools like DALL·E and Stable Diffusion.

Example Concept: Inpainting is used to repair or replace parts of an image by predicting and filling in the missing areas based on the surrounding content. Outpainting, on the other hand, generates new image areas beyond the original boundaries, effectively expanding the canvas while maintaining the style and context of the original image.

Additional Comment:

Inpainting is useful for restoring damaged photos or removing unwanted objects.
Outpainting can be used to create larger scenes or add context to an existing image.
Both techniques rely on AI models trained to understand image context and style.

✅ Answered with AI image generation best practices.

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