This tool is a specialized node for ComfyUI that enables users to manipulate images by applying a customizable 4x4 color matrix, utilizing GPU acceleration through PyTorch. It enhances image processing workflows by allowing for precise color adjustments and transformations.
- Utilizes GPU acceleration for efficient image processing, significantly speeding up the application of color transformations.
- Allows users to input custom 4x4 color matrices, providing flexibility for various color manipulation tasks.
- Integrates seamlessly into ComfyUI, making it easy to add and use without complex setup.
Context
The ColorMatrixGPU node is designed to extend the functionality of ComfyUI by enabling advanced color manipulation capabilities. Its primary purpose is to apply a customizable 4x4 color matrix to images, allowing users to achieve specific color effects and adjustments efficiently.
Key Features & Benefits
This node's ability to accept a custom 4x4 color matrix means users can tailor the color output to meet their specific needs, whether for artistic effects or correcting color imbalances. The use of GPU acceleration ensures that these operations are performed swiftly, making it suitable for both real-time applications and batch processing.
Advanced Functionalities
The ColorMatrixGPU node’s advanced capability lies in its flexibility to accept any 4x4 matrix input, which can be formatted as 16 floating-point values. This allows users to create a wide range of color transformations, from simple adjustments to complex effects, enhancing creative possibilities.
Practical Benefits
By integrating the ColorMatrixGPU node into their workflows, users gain improved control over image color manipulation, leading to higher quality outputs and increased efficiency. The ability to quickly apply and adjust color matrices streamlines the creative process, allowing for more experimentation and quicker iterations.
Credits/Acknowledgments
This tool is released under the MIT License, and it builds on the foundational work of the ComfyUI community and contributors who have developed and maintained the framework.