A mosaic blur node designed for ComfyUI allows users to apply a mosaic-style blur effect to images. It offers two methods for processing—CV2 for speed and Pillow for higher quality—while providing control over the intensity of the blur through a customizable block size parameter.
- Users can switch between two image processing libraries, CV2 and Pillow, depending on their needs for speed or quality.
- The block size parameter enables fine-tuning of the blur effect, allowing for greater flexibility in image processing.
- This tool integrates seamlessly into the ComfyUI workflow, enhancing the capabilities of users working on image manipulation tasks.
Context
This tool serves as a mosaic blur node within the ComfyUI framework, aimed at enhancing image processing capabilities. Its primary purpose is to provide users with the ability to apply a mosaic blur effect, which can be useful for artistic effects or privacy-related applications.
Key Features & Benefits
The main features include the option to choose between CV2 and Pillow methods, allowing users to prioritize either processing speed or image quality based on their project requirements. The adjustable block size parameter is crucial, as it directly influences the strength of the blur, enabling users to achieve the desired aesthetic or functional outcome in their images.
Advanced Functionalities
The tool's ability to toggle between two distinct libraries (CV2 and Pillow) is a notable advanced feature. CV2 is optimized for speed, making it suitable for real-time applications, while Pillow provides a higher fidelity output for projects where image quality is paramount. This versatility allows users to adapt their workflow to various scenarios effectively.
Practical Benefits
By incorporating this mosaic blur node into their workflow, users can significantly enhance their control over image processing tasks within ComfyUI. The ability to adjust the blur effect and choose the processing method leads to improved efficiency and quality in image outputs, making it a valuable addition for anyone working with visual content.
Credits/Acknowledgments
The tool is developed by contributors in the open-source community, and users are encouraged to refer to the repository for any licensing details and to acknowledge the original authors for their work in creating this functionality.