Control & Composition: Inpainting Basics

Stop generating random images. Start fixing them. Learn to use Masks and Prompting to surgically edit your AI Art.

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AI InpaintingThe Art of Regeneration

Guide:Welcome to Inpainting. This technique allows us to replace or repair specific parts of an image without altering the rest. It's digital surgery for creatives.


Inpainting Mastery

Unlock nodes by learning how to surgically alter images with AI.

Step 1: The Mask

Inpainting starts with selection. The Mask is usually painted with a brush tool. White areas will be regenerated; black areas will be protected.

Concept Check

What happens to the pixels covered by the mask (white area)?


Community Art Gallery

Recent Inpaint Fixes

Fixed the 6th finger on hand

By: HandFixer99

Changed suit to casual hoodie

By: StyleSwap

Peer Review

Upload your "Before & After" to get feedback on blending and lighting consistency.

Inpainting: The Digital Surgeon's Scalpel

Inpainting is one of the most powerful workflows in Generative AI. It allows you to modify specific parts of an image while preserving the overall composition. It is the bridge between random generation and controlled art direction.

1. The Mask: Defining Constraints

The mask is a binary map (usually black and white). White areas are "allowed to change," while black areas are "frozen." A soft brush edge helps blend the new generation into the existing pixels seamlessly.

2. Denoising Strength

This is your "Creative Freedom" slider.

Low Strength (0.1 - 0.3)

Retains the original shape and color. Good for changing materials or removing noise without changing geometry.

High Strength (0.7 - 1.0)

Destroys original pixels. Allows for generating completely new objects that weren't there before.

3. Inpaint at Full Resolution

Often called "Inpaint Only Masked". The AI focuses all its processing power on just the masked area, upscaling it, generating detail, and then shrinking it back down to fit. This creates incredible detail for faces and hands.

Pro Tip: Good inpainting is 80% masking accuracy and 20% prompting.

Inpainting Terminology

Mask
A black and white layer defining which pixels the AI can modify. White = Modify, Black = Protect.
Visual Example
Denoising Strength
A parameter (0.0 to 1.0) controlling how much the image is allowed to change. Low values keep original structure; high values hallucinate new structures.
Visual Example
ConservativeCreative
Inpaint at Full Res
A technique where the AI crops the masked area, upscales it, generates details, and pastes it back. Essential for fixing eyes and faces.
Visual Example
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Mask Blur
Softens the edges of the mask to prevent harsh lines between the original image and the generated patch.
Visual Example