A custom node for ComfyUI, this tool specializes in generating right eye disparity videos tailored for virtual reality applications. It efficiently produces right eye video outputs based on left eye videos and accompanying depth maps.
- Efficient memory management through batch processing.
- Focused output generation, only creating the right eye video to conserve resources.
- Utilizes advanced algorithms from ComfyStereo for high-quality disparity generation.
Context
This tool serves as an extension within the ComfyUI framework, specifically designed to enhance virtual reality video experiences by generating right eye disparity from left eye video inputs. Its primary purpose is to facilitate the creation of immersive 3D visuals by leveraging depth information.
Key Features & Benefits
The node offers several practical features that enhance its usability. It allows for batch processing of videos, which optimizes memory usage and improves processing speed. By generating only the right eye output, it ensures that resources are conserved, making it ideal for users working with limited hardware capabilities. The integration with other nodes like Video Combine and Meta Batch enhances workflow efficiency.
Advanced Functionalities
This tool includes advanced parameters such as divergence, separation, and stereo balance, enabling users to fine-tune the 3D effect according to their specific needs. The divergence parameter adjusts the strength of the disparity effect, while separation allows for horizontal adjustments, providing greater control over the final output.
Practical Benefits
By streamlining the generation of right eye videos, this tool significantly improves workflow efficiency in ComfyUI. It allows users to maintain high-quality visuals while managing memory effectively, thereby enhancing the overall quality of VR experiences. The ability to process videos in batches and integrate seamlessly with existing nodes makes it a valuable asset for creators.
Credits/Acknowledgments
The development of this node acknowledges the contributions of the original authors and utilizes components from the ComfyStereo project, specifically the stereoimage_generation.py file. The tool is distributed under the MIT License, promoting openness and collaboration within the community.