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Generate conditioning tensor for model without class label bias, enabling generalized model operation.
The DiTCondLabelEmpty
node is designed to generate a conditioning tensor for a model without specifying a particular class label. This is particularly useful in scenarios where you want to utilize the model's capabilities without biasing it towards any specific class, effectively allowing the model to operate in a more generalized manner. The node achieves this by creating a tensor that represents a null or empty class, which is determined based on the model's configuration. This can be beneficial for tasks that require classifier-free guidance or when you want to explore the model's behavior without predefined class constraints.
The model
parameter is required and represents the model instance that will be used to generate the conditioning tensor. This parameter ensures that the node can access the model's configuration, specifically the number of classes defined in the model. The model
parameter does not have specific minimum, maximum, or default values as it is expected to be a valid model instance loaded into the node.
The empty
output parameter is a conditioning tensor that represents a null or empty class. This tensor is created based on the number of classes defined in the model's configuration, effectively setting the class ID to the total number of classes, which is typically used to indicate an empty or null class. This output is crucial for tasks that require classifier-free guidance or when you want to utilize the model without specifying a particular class label.
DiTCondLabelEmpty
node when you want to explore the model's capabilities without biasing it towards any specific class. This can be particularly useful for generating more generalized outputs.AttributeError: 'NoneType' object has no attribute 'model_config'
model
parameter is not properly set or the model instance is invalid.model
parameter is correctly set to a valid model instance that has been properly loaded.KeyError: 'num_classes'
num_classes
key, which is required to determine the number of classes.num_classes
key and that it is correctly set. If necessary, check the model loading process to ensure the configuration is properly initialized.© Copyright 2024 RunComfy. All Rights Reserved.