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Fine-tune channel selection for model's latent space, enabling precise control over individual channels for customized outputs.
The Individual channel selector node is designed to provide fine-grained control over the selection of specific channels within a model's latent space. This node allows you to either include or exclude a particular channel from a set of channels, making it highly useful for tasks that require precise manipulation of individual channels. By enabling or disabling specific channels, you can tailor the behavior of your model to better suit your artistic needs, ensuring that only the desired channels are active during the model's execution. This capability is particularly beneficial for AI artists looking to experiment with different channel configurations to achieve unique and customized outputs.
The exclude
parameter is a boolean value that determines whether the selected channel should be excluded or included. When set to True
, the selected channel will be excluded, and when set to False
, the selected channel will be included. This parameter allows you to control the activation state of the specific channel. The default value is False
.
The selected_channel
parameter is an integer that specifies which channel to target for inclusion or exclusion. This parameter allows you to select a specific channel by its index, providing precise control over which channel is affected. The value must be between 1 and 128, inclusive. The default value is 1
.
The total_channels
parameter is an integer that defines the total number of channels available in the model's latent space. This parameter ensures that the node operates within the correct range of channels, preventing out-of-bounds errors. The value must be between 1 and 128, inclusive. The default value is 4
.
The CHANS
output parameter is a list of boolean values representing the state of each channel in the model's latent space. Each boolean value indicates whether the corresponding channel is included (True
) or excluded (False
). This output allows you to see the configuration of channels after applying the node's logic, providing a clear understanding of which channels are active.
exclude
parameter to False
and specify the desired channel number in the selected_channel
parameter.exclude
parameter to True
and specify the channel number to be excluded in the selected_channel
parameter.total_channels
parameter accurately reflects the number of channels in your model's latent space to avoid configuration errors.<number>
CHANNELSselected_channel
parameter is set to a value that exceeds the number of available channels in the model's latent space.selected_channel
parameter is within the valid range (1 to the total number of channels). Adjust the selected_channel
value accordingly.© Copyright 2024 RunComfy. All Rights Reserved.