A custom depth estimation node for ComfyUI leverages transformer models to produce depth maps from images. It integrates various model options and post-processing features to enhance image depth perception effectively.
- Supports multiple Depth-Anything models, allowing users to select based on their needs for quality and performance.
- Offers advanced post-processing capabilities, including Gaussian blur and automatic contrast enhancement, to refine the output depth maps.
- Includes troubleshooting options such as forcing CPU processing and model reloading, enhancing compatibility and user experience.
Context
This tool is designed to enhance ComfyUI's capabilities by providing a specialized node for depth estimation. It utilizes Depth-Anything models to generate detailed depth maps from input images, thereby improving the overall quality of image processing workflows.
Key Features & Benefits
The depth estimation node features several model options ranging from small to large sizes, enabling users to choose the best fit for their system's capabilities. The post-processing options, such as Gaussian blur and median filtering, allow for fine-tuning of the depth maps, which is critical for achieving visually appealing results.
Advanced Functionalities
Advanced functionalities include the ability to force processing on the CPU, which can be particularly useful for users with limited GPU resources. Additionally, the node can force a model reload, which helps in troubleshooting issues that may arise during usage, ensuring smoother operation.
Practical Benefits
This tool significantly streamlines the workflow in ComfyUI by providing users with enhanced control over depth estimation and image processing. It improves the quality of outputs by allowing for detailed adjustments and optimizations, ultimately leading to more efficient and effective image generation.
Credits/Acknowledgments
The depth estimation node is developed by the contributors of the GitHub repository, with the project licensed under the Apache License. Further support and updates can be found through the repository's issue tracker and community forums.