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autoclaw-pixelbead-cli
Advanced tools
Convert images into perler bead (拼豆) patterns with accurate color matching.
Built with AutoClaw — an AI-powered agent.
npm install
npm run build
# Basic — terminal preview (Artkal, 29x29)
node dist/index.js convert input.png
# Specify brand and board size
node dist/index.js convert input.png -b hama --board 39x39
# Output PNG grid with color codes
node dist/index.js convert input.png -b artkal --board 100x100 -o pattern.png
# Output PDF printable template
node dist/index.js convert input.png -b perler --board 39x39 -o pattern.pdf
# Control color count and noise
node dist/index.js convert input.png --max-colors 25 --merge-threshold 15 --remove-bg
# Enable dithering and outline
node dist/index.js convert input.png --dither --outline -o pattern.png
# Use only specific colors you own
node dist/index.js convert input.png -b artkal --colors C-1,C-2,C-15,C-48,C-77
# List available brands
node dist/index.js brands
# Show all colors for a brand
node dist/index.js palette -b artkal
# Generate demo patterns
node dist/index.js demo -o ./demo/
| Size | Beads | Boards (29×29) | Best For |
|---|---|---|---|
| 29×29 | 841 | 1 | Simple icons |
| 39×39 | 1,521 | 2 | Small patterns |
| 58×58 | 3,364 | 4 | Detailed icons |
| 80×80 | 6,400 | 8 | Photos (good) |
| 100×100 | 10,000 | 12 | Photos (great) ⭐ |
| 120×120 | 14,400 | 17 | Photos (finest) |
| 200×200 | 40,000 | 48 | Maximum detail |
Sweet spot: 100×100 for photo-quality patterns with manageable bead count.
| Brand | Colors | Type |
|---|---|---|
| Artkal (C series) | 81 | 2.6mm mini |
| Hama (midi) | 65 | 5mm standard |
| Perler | 66 | 5mm standard |
| MARD (咪小窝) | 69 | 2.6mm mini |
| COCO (可可) | 69 | 2.6mm mini |
Rich ANSI 24-bit color output showing the bead pattern at a glance.
Clean grid image with:
Printable A4 PDF with:
sharp and resized to the target board dimensions using Lanczos3 interpolationMIT
Built with 🤖 AutoClaw
FAQs
Convert images into perler bead (拼豆) patterns
We found that autoclaw-pixelbead-cli demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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