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Initialize and load BiSeNet model for facial segmentation in CharacterFaceSwap applications.
The Load BiseNet node is designed to initialize and load the BiSeNet model, which is a neural network architecture used for semantic segmentation, particularly in facial recognition and parsing tasks. This node is part of the CharacterFaceSwap category and is essential for applications that require detailed facial feature extraction and segmentation. By leveraging the BiSeNet model, you can achieve high-precision segmentation of facial components, which is crucial for tasks such as face swapping, facial attribute editing, and other AI-driven facial manipulations. The node simplifies the process of loading the pre-trained BiSeNet model, ensuring that you can quickly integrate advanced facial parsing capabilities into your projects without delving into the complexities of model initialization and configuration.
This node does not require any input parameters. It is designed to automatically load the BiSeNet model from a predefined directory.
The output of this node is the initialized BiSeNet model. This model is ready to be used for facial parsing tasks, providing detailed segmentation of facial features. The output model can be directly fed into other nodes or processes that require facial segmentation data, enabling seamless integration into your AI art workflows.
facexlib/weights
) to avoid any loading issues.facexlib/weights
directory. Ensure that the directory path is correctly set in the node configuration.© Copyright 2024 RunComfy. All Rights Reserved.