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Enhances AI model conditioning by selectively replacing channels for improved content quality and relevance.
The "Pre CFG replace negative channel" node is designed to enhance the conditioning process in AI models by selectively replacing specific channels in the unconditional output with corresponding channels from the conditional output. This node is particularly useful when you want to ensure that certain features from the conditional output are preserved in the unconditional output, thereby improving the overall quality and relevance of the generated content. By enabling this node, you can fine-tune the model's behavior to better align with your artistic goals, ensuring that important details are not lost during the conditioning process.
This parameter represents the AI model that you are working with. It is the core component that will be modified by the node to include the pre-configuration patch function.
This integer parameter specifies which channel in the latent space should be replaced. The channel number must be between 1 and 128, inclusive. The default value is 1. Selecting the correct channel is crucial as it determines which part of the latent space will be influenced by the conditional output.
This boolean parameter determines whether the node's functionality is active. If set to True (the default value), the node will perform the channel replacement as specified. If set to False, the node will not make any changes to the model.
The output is the modified AI model that now includes the pre-configuration patch function. This model will have the specified channel in the unconditional output replaced by the corresponding channel from the conditional output, provided the conditions are met.
channel
parameter is set to a value that corresponds to a meaningful feature in the latent space. Experiment with different channels to find the one that best enhances your output.enabled
parameter to toggle the node's functionality without removing it from your workflow. This allows you to easily compare results with and without the channel replacement.<number>
CHANNELSchannel
parameter to a value within the range of available channels. Check the model's documentation or output to determine the correct number of channels.© Copyright 2024 RunComfy. All Rights Reserved.