CoCoTools_IO is a specialized set of nodes designed for advanced image input and output operations within ComfyUI, focusing particularly on EXR file handling. It enables users to efficiently manage multilayer EXR files and offers high-quality image saving options tailored to specific formats.
- Advanced support for multilayer EXR image loading and manipulation.
- Capable of handling various standard image formats while maintaining bit depth integrity.
- Provides tools for image processing, including colorspace conversion and depth map normalization.
Context
CoCoTools_IO serves as an enhancement for ComfyUI, aimed at facilitating advanced image input and output functionalities. Its primary purpose is to streamline the handling of EXR files, which are commonly used in professional visual effects and animation workflows due to their multilayer capabilities.
Key Features & Benefits
The tool includes robust features for loading and manipulating EXR files, such as the ability to extract specific layers and handle cryptomatte data. Additionally, it supports standard image formats, ensuring that users can work with various file types while being aware of their bit depth, which is crucial for maintaining image quality.
Advanced Functionalities
CoCoTools_IO offers advanced capabilities such as the loading of EXR image sequences and the ability to save images with specific format options, including compression and bit depth settings. The inclusion of a colorspace converter allows for seamless transitions between different color representations, which is vital for achieving consistent results across different media.
Practical Benefits
By integrating CoCoTools_IO into their workflows, ComfyUI users can significantly enhance their control over image processing and output quality. The specialized features for EXR files allow for greater flexibility and precision in visual projects, ultimately leading to more efficient and higher-quality results.
Credits/Acknowledgments
The project incorporates third-party libraries like Colour Science for Python and OpenColorIO, both of which are essential for its colorspace transformation capabilities. It is licensed under the MIT License, ensuring compatibility with these libraries while allowing for community contributions and modifications.