ComfyUI Node: MarigoldModelLoader

MarigoldModelLoader:

The MarigoldModelLoader node is designed to facilitate the loading and initialization of the Marigold model within the ComfyUI framework. This node is essential for setting up the model pipeline, ensuring that the model is correctly configured and ready for subsequent processing tasks. By leveraging this node, you can seamlessly integrate the Marigold model into your workflow, enabling advanced image processing and depth estimation capabilities. The primary goal of the MarigoldModelLoader is to streamline the model loading process, making it accessible and efficient for AI artists who may not have a deep technical background.

MarigoldModelLoader Input Parameters:

model

The model parameter specifies the type of Marigold model to be loaded. This parameter is crucial as it determines the configuration and capabilities of the model pipeline. The available options for this parameter include "Marigold" and "marigold-lcm-v1-0". Selecting the appropriate model type ensures that the node loads the correct model checkpoint and sets up the pipeline accordingly. There are no explicit minimum or maximum values for this parameter, but it must be one of the predefined model types.

MarigoldModelLoader Output Parameters:

marigold_model

The marigold_model output parameter is a dictionary containing the initialized model pipeline and the model type. This output is essential as it provides the necessary configuration and model instance required for further processing tasks. The marigold_model dictionary includes keys such as pipeline, which holds the model pipeline, and modeltype, which indicates the type of model loaded. This output ensures that subsequent nodes can access and utilize the loaded model effectively.

MarigoldModelLoader Usage Tips:

• Ensure that you select the correct model type in the model parameter to match your specific processing needs.
• Verify that the model checkpoint path is correctly set up and accessible to avoid loading errors.
• Utilize the marigold_model output in subsequent nodes to perform image processing and depth estimation tasks efficiently.

MarigoldModelLoader Common Errors and Solutions:

No checkpoint directory found at <checkpoint_path>

• Explanation: This error occurs when the specified model checkpoint directory does not exist or is not accessible.
• Solution: Ensure that the checkpoint path is correctly specified and that the directory exists. If using a predefined model type, verify that the model files have been downloaded correctly.

Model loading failed due to missing dependencies

• Explanation: This error indicates that the necessary dependencies for loading the model are not installed.
• Solution: Install the required dependencies, such as huggingface_hub, and ensure that all necessary packages are available in your environment.

Invalid model type specified

• Explanation: This error occurs when an unsupported or incorrect model type is provided in the model parameter.
• Solution: Verify that the model parameter is set to one of the supported model types, such as "Marigold" or "marigold-lcm-v1-0".