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Switch between Control Net models based on boolean condition for dynamic selection during AI art generation.
The Control Net Model Input Switch node is designed to provide a flexible way to switch between two different Control Net models based on a boolean condition. This node is particularly useful when you want to dynamically select between two Control Net models during the execution of your AI art generation process. By using this node, you can streamline your workflow and easily toggle between different models without manually changing the configurations. This can be especially beneficial in scenarios where you need to compare the outputs of different models or apply different control strategies based on specific conditions.
This parameter represents the first Control Net model that you want to use. It is one of the two models between which the node will switch based on the boolean condition. The model should be of the type CONTROL_NET
.
This parameter represents the second Control Net model that you want to use. Similar to control_net_a
, this model will be selected if the boolean condition is not met. The model should be of the type CONTROL_NET
.
This boolean parameter determines which Control Net model will be selected. If the value is True
, the node will select control_net_a
. If the value is False
, the node will select control_net_b
. This parameter is essential for dynamically switching between the two models based on your specific conditions. The default value is True
.
The output of this node is a single Control Net model, which will be either control_net_a
or control_net_b
based on the boolean condition. This output can then be used in subsequent nodes or processes that require a Control Net model.
Invalid CONTROL_NET type
control_net_a
or control_net_b
is not of the type CONTROL_NET
.control_net_a
and control_net_b
are valid Control Net models of the correct type.Boolean parameter missing
True
or False
).Control Net model not found
control_net_a
and control_net_b
are correctly loaded and accessible in your environment.© Copyright 2024 RunComfy. All Rights Reserved.