Inpainting Techniques

A technique for selectively regenerating parts of an image by masking areas to be replaced while keeping the rest intact. Used for fixing errors, adding elements, or modifying specific regions.

Inpainting lets you fix or modify specific parts of an image without regenerating everything.

How Inpainting Works

Load an existing image
Draw a mask over areas to change
Write a prompt for the masked area
Model regenerates only the masked region
Blends with surrounding context

Common Use Cases

Fixing hands: Regenerate problematic anatomy
Removing objects: Mask and prompt for background
Adding elements: Insert new objects or features
Style changes: Modify clothing, hair, etc.
Error correction: Fix artifacts or distortions

Key Parameters

Denoising Strength

Low (0.3-0.5): Subtle changes, keeps structure
Medium (0.5-0.7): Balanced modification
High (0.7-1.0): Complete regeneration

Mask Settings

Mask blur: Softer edges for blending
Mask padding: Extends context area
Inpaint area: Full image vs. masked only

Tips for Better Inpainting

Use soft mask edges for natural blending
Include context in your prompt
Match lighting and style of original
Multiple passes for complex fixes
Higher resolution often helps
Some models are specifically trained for inpainting