Open Source

How to Fix AI-Generated Pixel Art

Convert AI pixel art into clean, grid-aligned pixel art while preserving the original shapes and details.

Source code 2.3k

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Workflow to clean up AI-generated pixel art

From AI mixels to a clean pixel art

AI image models often produce blurry, inconsistent, off-grid pixels. Pixel Snapper finds the underlying grid and rebuilds the image on a consistent pixel grid.

1. Quantize colors

Original image

Read the color of every source pixel

Blurry AI-generated pixel art with uneven pixel sizes

K-means palette

Find representative colors

Four representative green and yellow colors selected with K-means

Quantized colors

Build a limited, consistent palette

AI-generated pixel art reduced to a consistent green and yellow palette

2. Edge profiles

X/Y brightness profile

Measure the strength of each brightness change

Estimated step size

Find the median gap between peaks

Evenly spaced vertical guides showing the estimated pixel step size

3. Walk cuts

Median step guide

Set the expected distance between cuts

Horizontal and vertical spacing guides over quantized pixel art

Walked cuts

Follow the strongest nearby edge peaks

Grid lines adjusted to follow the detected edges in the pixel art

4. Resampling

Final cut cells

Use each cell as a color voting area

Detected grid dividing the source image into color-voting cells

Output pixels

Keep the winning color from each cell

Resampled pixel art with one palette color assigned to each output cell

Result

Input

Blurry, inconsistent, off-grid pixels

Blurry AI-generated pixel art with inconsistent and off-grid pixels

Output

Clean, grid-aligned pixel art

Clean pixel art rebuilt on a consistent grid

Source code 2.3k

Try online

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