ComfyUI > Nodes > ComfyUI > ModelPatchLoader

ComfyUI Node: ModelPatchLoader

Class Name

ModelPatchLoader

Category
advanced/loaders
Author
ComfyAnonymous (Account age: 763days)
Extension
ComfyUI
Latest Updated
2026-05-13
Github Stars
112.77K

How to Install ComfyUI

Install this extension via the ComfyUI Manager by searching for ComfyUI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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ModelPatchLoader Description

Facilitates loading and patching of ML models in ComfyUI for efficient integration and optimization.

ModelPatchLoader:

The ModelPatchLoader is a specialized node designed to facilitate the loading and patching of machine learning models within the ComfyUI framework. Its primary purpose is to streamline the process of integrating model patches, which are modifications or updates to existing models, ensuring they operate efficiently on the designated hardware. This node leverages the capabilities of the CoreModelPatcher to dynamically load and manage model weights, optimizing memory usage and device compatibility. By automating the patching process, ModelPatchLoader enhances the flexibility and adaptability of models, allowing AI artists to experiment with different model configurations without delving into complex technical details. This node is particularly beneficial for those looking to apply custom modifications to models, as it abstracts the intricacies of model management and device allocation, providing a seamless experience for users.

ModelPatchLoader Input Parameters:

name

The name parameter specifies the identifier of the model patch you wish to load. It acts as a reference to the specific patch configuration that the node will apply to the model. This parameter is crucial as it determines which set of modifications or updates will be integrated into the model, impacting its behavior and performance. While the context does not provide explicit options or default values, it is essential to ensure that the name corresponds to a valid and existing model patch within your environment to avoid errors during execution.

ModelPatchLoader Output Parameters:

model_patcher

The model_patcher output parameter represents the instance of the CoreModelPatcher that has been configured and applied to the model. This output is significant as it encapsulates the patched model, ready for further processing or inference tasks. The model_patcher ensures that the model is optimized for the specified hardware, with appropriate memory management and device allocation, thus enhancing the model's efficiency and performance.

ModelPatchLoader Usage Tips:

  • Ensure that the name parameter corresponds to a valid model patch available in your environment to prevent loading errors.
  • Utilize the ModelPatchLoader when you need to apply custom modifications to models, as it simplifies the process and manages device compatibility automatically.

ModelPatchLoader Common Errors and Solutions:

Invalid model patch name

  • Explanation: This error occurs when the name parameter does not match any existing model patch in your environment.
  • Solution: Verify that the name parameter is correctly specified and corresponds to a valid model patch. Check your environment for available patches and ensure the name is spelled correctly.

Model loading failure

  • Explanation: This error might arise if there are issues with the model's state dictionary or compatibility with the patch.
  • Solution: Ensure that the model's state dictionary is correctly formatted and compatible with the patch. Check for any updates or dependencies required for the patch to function correctly.

ModelPatchLoader Related Nodes

Go back to the extension to check out more related nodes.
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ModelPatchLoader