ComfyUI Node: 🌆DepthFM ModelLoader

🌆DepthFM ModelLoader:

The DepthFM_ModelLoader_Zho node is designed to facilitate the loading of DepthFM models, which are essential for generating depth maps from images. This node simplifies the process of selecting and loading a pre-trained DepthFM model, ensuring that it is ready for use in subsequent image processing tasks. By leveraging this node, you can seamlessly integrate depth estimation capabilities into your AI art projects, enabling more sophisticated and realistic visual effects. The primary goal of this node is to streamline the model loading process, making it accessible even to those with limited technical expertise.

🌆DepthFM ModelLoader Input Parameters:

depthfm_model

The depthfm_model parameter specifies the name of the DepthFM model file that you wish to load. This parameter is crucial as it directs the node to the correct model file within the designated directory. The model file should be located in the depthfm folder, which is predefined in the system's folder paths. Providing the correct model name ensures that the node can successfully locate and load the model, enabling it to be used for depth estimation tasks. If this parameter is not provided or is incorrect, the node will raise an error, preventing further execution.

🌆DepthFM ModelLoader Output Parameters:

model

The model output parameter represents the loaded DepthFM model. This output is essential as it provides the actual model object that can be used in subsequent nodes for depth estimation. The model is loaded onto the appropriate device (CPU or GPU) and set to evaluation mode, ensuring it is ready for inference. This output is critical for enabling the depth estimation process, as it encapsulates the trained parameters and architecture of the DepthFM model.

🌆DepthFM ModelLoader Usage Tips:

• Ensure that the depthfm_model parameter is correctly specified with the exact name of the model file located in the depthfm folder to avoid errors.
• Verify that your system has the necessary resources (e.g., GPU) available if you intend to leverage CUDA for faster model inference.
• Use this node as the initial step in your depth estimation workflow to ensure the model is properly loaded and ready for subsequent processing.

🌆DepthFM ModelLoader Common Errors and Solutions:

Please provide the depthfm_model parameter with the name of the model file.

• Explanation: This error occurs when the depthfm_model parameter is not provided or is empty.
• Solution: Ensure that you specify the depthfm_model parameter with the correct name of the model file you wish to load.

Model file not found in the specified directory.

• Explanation: This error indicates that the specified model file could not be located in the depthfm folder.
• Solution: Double-check the name of the model file and ensure it is placed in the correct directory as defined by the system's folder paths.