ComfyUI-Mosaic

ComfyUI-Mosaic

ComfyUI custom nodes for mosaic detection and creation.

Features

• Mosaic Detection: Detect mosaic patterns in images using computer vision
• Mosaic Creation: Create various mosaic effects (squares, circles, hexagons, gradients)
• Pattern Types: Multiple mosaic patterns with customizable parameters
• Mask Support: Apply effects to specific areas using masks

Installation

1. Navigate to your ComfyUI custom nodes directory:

cd ComfyUI/custom_nodes

2. Clone this repository:

git clone https://github.com/1038lab/ComfyUI-Mosaic.git

3. Install dependencies:

cd ComfyUI-Mosaic
pip install -r requirements.txt

4. Restart ComfyUI

Nodes

MosaicCreator

Create mosaic effects on images.

Parameters:

• image: Input image
• mosaic_type: Pattern type (pixelation, blur, block_average, squares, circles, hexagons, gradient_horizontal, gradient_vertical)
• block_size: Mosaic block size (2-100)
• intensity: Effect intensity (0.0-1.0)
• mask: Optional mask for selective application

Outputs:

• image: Processed image
• processing_mask: Applied mask

MosaicDetector

Detect mosaic patterns in images.

Parameters:

• image: Input image
• top_n: Number of top detections (1-20)
• mask_expand: Mask expansion size (0-64)
• mask_blur: Mask edge blur (0-64)
• invert_mask: Invert final mask
• overlay_color: Visualization color
• overlay_opacity: Overlay transparency (0.0-1.0)

Outputs:

• image: Original image
• mask_overlay: Visualization overlay
• mask: Detection mask

Usage

1. Add nodes to your ComfyUI workflow
2. Connect image inputs
3. Adjust parameters as needed
4. Process images

Requirements

• ComfyUI
• Python 3.8+
• PyTorch ≥1.9.0
• OpenCV ≥4.5.0
• Pillow ≥8.0.0
• NumPy ≥1.21.0

License

GPLv3 License - see LICENSE file for details.