ComfyUI  >  Nodes  >  ComfyUI-IC-Light >  Load And Apply IC-Light

ComfyUI Node: Load And Apply IC-Light

Class Name

LoadAndApplyICLightUnet

Category
IC-Light
Author
kijai (Account age: 2181 days)
Extension
ComfyUI-IC-Light
Latest Updated
6/19/2024
Github Stars
0.4K

How to Install ComfyUI-IC-Light

Install this extension via the ComfyUI Manager by searching for  ComfyUI-IC-Light
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-IC-Light 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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Load And Apply IC-Light Description

Clone and apply IC-Light Unet weights to enhance SD 1.5 model performance.

Load And Apply IC-Light:

The LoadAndApplyICLightUnet node is designed to load and apply IC-Light Unet weights to a model, specifically tailored for SD 1.5 models. This node clones the existing model and attempts to integrate IC-Light Unet weights, which are specialized weights that enhance the model's performance by adding patches. The process involves checking the compatibility of the model, loading the IC-Light Unet weights, and applying these weights to the cloned model. This node is particularly useful for AI artists looking to improve the quality and capabilities of their models by leveraging the advanced features of IC-Light Unet weights.

Load And Apply IC-Light Input Parameters:

model

The model parameter represents the base model to which the IC-Light Unet weights will be applied. This parameter is crucial as it serves as the foundation for the weight application process. The model must be compatible with SD 1.5 models, as the IC-Light Unet weights are specifically designed for this version. There are no specific minimum or maximum values for this parameter, but it must be a valid model object.

model_path

The model_path parameter specifies the file path to the IC-Light Unet weights. This path is used to locate and load the weights that will be applied to the model. The accuracy of this path is essential for the successful loading of the weights. There are no specific minimum or maximum values for this parameter, but it must be a valid file path string.

Load And Apply IC-Light Output Parameters:

model_clone

The model_clone parameter is the output of the node, representing the cloned model with the applied IC-Light Unet weights. This output is significant as it provides the enhanced model that incorporates the advanced features of the IC-Light Unet weights. The model_clone can be used for further processing or inference tasks, benefiting from the improved performance and capabilities.

Load And Apply IC-Light Usage Tips:

  • Ensure that the base model is compatible with SD 1.5 models to avoid compatibility issues.
  • Double-check the model_path to ensure it points to the correct IC-Light Unet weights file.
  • Use the enhanced model_clone output for tasks that require improved model performance and capabilities.

Load And Apply IC-Light Common Errors and Solutions:

Attempted to load {type_str} model, IC-Light is only compatible with SD 1.5 models.

  • Explanation: This error occurs when the base model is not compatible with SD 1.5 models.
  • Solution: Ensure that the base model is an SD 1.5 model before attempting to apply the IC-Light Unet weights.

Could not patch model

  • Explanation: This error indicates that the process of adding patches with IC-Light Unet weights failed.
  • Solution: Verify the integrity of the IC-Light Unet weights file and ensure that the model_path is correct.

IC-Light: Could not patch calculate_weight

  • Explanation: This error occurs when the node fails to patch the calculate_weight function to accept multi-channel inputs.
  • Solution: Ensure that all dependencies and required modules are correctly installed and accessible.

Load And Apply IC-Light Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-IC-Light
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