ComfyUI-Mosaic is an extension designed for the ComfyUI framework that enables users to detect and create mosaic patterns in images through advanced computer vision techniques. This tool enhances the creative capabilities of artists and developers by providing customizable mosaic effects and detection functionalities.
- Detects mosaic patterns in images, allowing for analysis and manipulation of visual content.
- Offers a variety of mosaic creation options, including different shapes and customizable parameters for tailored effects.
- Supports selective application of effects using masks to target specific areas of an image.
Context
ComfyUI-Mosaic serves as a specialized tool within the ComfyUI ecosystem, focusing on both the detection and creation of mosaic patterns. Its primary purpose is to facilitate artistic expression and analysis by leveraging computer vision to manipulate images effectively.
Key Features & Benefits
This extension includes features such as mosaic detection and creation, allowing users to apply various styles like squares, circles, and gradients. The customizable parameters enable fine-tuning of effects, which is crucial for achieving desired artistic results.
Advanced Functionalities
The tool provides two main nodes: MosaicCreator and MosaicDetector. MosaicCreator allows users to create mosaics with adjustable block sizes and intensity, while MosaicDetector identifies mosaic patterns in images and provides options for adjusting mask parameters, such as expansion and blur.
Practical Benefits
ComfyUI-Mosaic streamlines workflows by integrating powerful mosaic functionalities directly into the ComfyUI interface. This integration enhances control over image processing, improves the quality of artistic outputs, and increases efficiency by allowing users to work with complex mosaic effects seamlessly.
Credits/Acknowledgments
This repository is maintained under the GPLv3 License, with contributions from its original authors and the community. Users can find more details in the LICENSE file included in the repository.