CoCoandClaude Opus 4.6
576bd2aaa7
Comprehensive audit covering 29 code issues, bit depth analysis, ComfyUI V3 API assessment, testing feasibility, OpenEXR vs OIIO performance, preview optimization, and cryptomatte implementation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
CoCoTools_IO
A set of nodes focused on advanced image I/O operations, particularly for EXR file handling.
Features
- Advanced EXR image input with multilayer support
- EXR layer extraction and manipulation
- High-quality image saving with format-specific options
- Standard image format loading with bit depth awareness
Installation for comfyui portable (tested on 0.3.44)
Manual Installation
-
Clone the repository into your ComfyUI
custom_nodesdirectory -
Install dependencies from the python_embeded/ folder
python.exe -m pip install -r ./ComfyUI/custom_nodes/ComfyUI-CoCoTools/requirements.txt -
Restart ComfyUI
Current Nodes
Image I/O
- Image Loader: Load standard image formats (PNG, JPG, WebP, etc.) with proper bit depth handling
- Load EXR: Comprehensive EXR file loading with support for multiple layers, channels, and cryptomatte data
- Load EXR Sequence: Load EXR image sequences with #### frame patterns and batch processing
- Load EXR Layer by Name: Extract specific layers from EXR files (similar to Nuke's Shuffle node)
- Cryptomatte Layer: Specialized handling for cryptomatte layers in EXR files (WIP - not fully implemented)
- Image Saver: Save images in various formats with format-specific options (bit depth, compression, etc.)
Image Processing
- Colorspace Converter: Convert between various colorspaces (sRGB, Linear, ACEScg, etc.)
- Z Normalize: Normalize depth maps and other single-channel data
To-Do
IO
- Implement proper EXR loading
- Implement EXR sequence loader
- Implement EXR saver using OpenImageIO
- Implement multilayer EXR system (render passes, AOVs, embedded images, etc.)
- Add contextual menus based on selected file type in saver
- Add support for EXR sequences
- Complete cryptomatte layer implementation
- Adopt filename parsing for saving files into datestamped folders
Third-Party Libraries and Licensing
This project uses the following third-party libraries:
- Colour Science for Python: Used for colorspace transformations in the Colorspace Converter node. Licensed under the New BSD License.
- OpenColorIO: Used for color space transformations. Licensed under the BSD 3-Clause License.
For detailed licensing information, please see the THIRD_PARTY_NOTICES.md file.
This project is licensed under the MIT License. The BSD 3-Clause License used by OpenColorIO and the New BSD License used by colour-science are compatible with the MIT License, allowing us to include and use these components within this MIT-licensed project.