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Enhance style alignment in batch models for consistent results with adjustable intensity.
The easy styleAlignedBatchAlign
node is designed to enhance the alignment of styles within a batch of models, making it easier to achieve consistent and cohesive results across different models. This node leverages advanced techniques to share normalization and attention mechanisms, ensuring that the styles are aligned effectively. By adjusting the scale parameter, you can fine-tune the intensity of the style alignment, providing you with greater control over the final output. This node is particularly useful for AI artists looking to maintain a uniform style across multiple models, enhancing the overall aesthetic quality of their work.
This parameter represents the model that you want to apply style alignment to. It is essential for the node to function as it provides the base structure upon which the style alignment will be performed.
This parameter determines the type of normalization sharing to be applied. The available options are both
, group
, layer
, and disabled
. Choosing both
will share both group and layer normalization, while group
and layer
will share only their respective normalizations. Selecting disabled
will turn off normalization sharing. This parameter impacts how the normalization layers are shared across the models, affecting the consistency of the style alignment.
This parameter specifies the type of attention sharing to be applied. The options are q+k
, q+k+v
, and disabled
. q+k
shares the queries and keys, q+k+v
shares the queries, keys, and values, and disabled
turns off attention sharing. This parameter influences how the attention mechanisms are shared, which can affect the coherence of the style alignment.
This parameter is a floating-point value that adjusts the intensity of the style alignment. It has a default value of 1, with a minimum of 0 and a maximum of 1.0, and can be adjusted in steps of 0.1. The scale parameter allows you to fine-tune the strength of the style alignment, providing more control over the final output.
The output is a model with the applied style alignment. This model will have the styles aligned according to the specified normalization and attention sharing settings, as well as the scale parameter. The aligned model is ready for further processing or final output, ensuring a consistent and cohesive style across the batch.
share_norm
and share_attn
settings to find the best combination for your specific use case.scale
parameter to adjust the intensity of the style alignment. Start with the default value and make incremental changes to see how it affects the output.share_norm
parameter.share_norm
parameter is set to one of the valid options: both
, group
, layer
, or disabled
.share_attn
parameter.share_attn
parameter is set to one of the valid options: q+k
, q+k+v
, or disabled
.scale
parameter is set to a value outside the allowed range.scale
parameter is set to a value between 0 and 1.0, inclusive. Adjust the value in steps of 0.1 if necessary.© Copyright 2024 RunComfy. All Rights Reserved.