ComfyUI Node: Load Fooocus Inpaint

Load Fooocus Inpaint:

The Load Fooocus Inpaint node is designed to facilitate the loading of inpainting models specifically tailored for the Fooocus framework. This node is essential for AI artists who want to leverage pre-trained inpainting models to enhance or restore parts of an image. By loading both the head and patch components of the inpainting model, this node ensures that the necessary model parameters are correctly initialized and ready for use in subsequent inpainting tasks. The primary goal of this node is to streamline the process of preparing inpainting models, making it easier for you to focus on the creative aspects of your work without worrying about the technical intricacies of model loading and initialization.

Load Fooocus Inpaint Input Parameters:

head

The head parameter specifies the filename of the inpainting model's head component. This component is crucial as it contains the core architecture and weights necessary for the inpainting process. The function of this parameter is to ensure that the correct model head is loaded, which directly impacts the quality and accuracy of the inpainting results. The available options for this parameter are the filenames listed in the "inpaint" directory. There are no minimum or maximum values, but it is essential to select a valid filename from the provided list.

patch

The patch parameter specifies the filename of the inpainting model's patch component. This component includes additional weights and configurations that enhance the model's performance. The function of this parameter is to load the corresponding patch file, which works in conjunction with the model head to produce refined inpainting results. Similar to the head parameter, the available options are the filenames listed in the "inpaint" directory. Selecting a valid filename from this list is crucial for the node's proper execution.

Load Fooocus Inpaint Output Parameters:

INPAINT_PATCH

The INPAINT_PATCH output parameter is a tuple containing the loaded inpainting head model and the inpainting LoRA (Low-Rank Adaptation) dictionary. The function of this output is to provide the necessary components for the inpainting process, which can be used in subsequent nodes to apply the inpainting effect. The importance of this output lies in its role in ensuring that the inpainting model is correctly initialized and ready for use, thereby enabling you to achieve high-quality inpainting results.

Load Fooocus Inpaint Usage Tips:

• Ensure that the filenames provided for the head and patch parameters are correct and exist in the "inpaint" directory to avoid loading errors.
• Use this node as the initial step in your inpainting workflow to ensure that the model components are correctly loaded and ready for subsequent processing.
• Experiment with different model heads and patches to find the combination that best suits your specific inpainting needs and artistic style.

Load Fooocus Inpaint Common Errors and Solutions:

Model file not found: <model_name>

• Explanation: This error occurs when the specified model file for the head or patch parameter does not exist in the "inpaint" directory.
• Solution: Verify that the filenames provided for the head and patch parameters are correct and that the files are present in the "inpaint" directory.

Failed to load state_dict for inpainting head model

• Explanation: This error indicates that there was an issue loading the state dictionary for the inpainting head model, possibly due to a corrupted or incompatible file.
• Solution: Ensure that the head file is not corrupted and is compatible with the expected model architecture. Try re-downloading or obtaining a different version of the model file.

Lora keys loaded, remaining keys not found in model

• Explanation: This warning suggests that some keys expected in the LoRA dictionary were not found in the loaded model, which may affect the inpainting performance.
• Solution: Check the compatibility between the head and patch files. Ensure that they are designed to work together and consider using a different patch file if the issue persists.