ComfyUI Node: StyleAligned Batch Align

StyleAligned Batch Align:

The StyleAlignedBatchAlign node is designed to enhance the alignment of styles within a batch of models, ensuring consistent and cohesive results. This node is particularly useful for AI artists who want to maintain a uniform style across multiple models or images. By leveraging advanced normalization and attention-sharing techniques, the node ensures that the stylistic elements are harmonized, leading to more visually appealing and coherent outputs. The primary function of this node is to apply a patch to the model that adjusts the normalization and attention mechanisms based on the specified parameters, thereby aligning the styles effectively.

StyleAligned Batch Align Input Parameters:

model

This parameter represents the model to which the style alignment patch will be applied. It is essential for the node to have a model to work on, as the patching process involves modifying the model's internal mechanisms to achieve the desired style alignment.

share_norm

This parameter determines the type of normalization sharing to be applied. It can take values from the SHARE_NORM_OPTIONS, which typically include options like "group", "layer", and "both". Sharing normalization helps in maintaining consistent feature distributions across different parts of the model, leading to more uniform styles. The choice of normalization sharing can significantly impact the final output, with "group" focusing on group normalization, "layer" on layer normalization, and "both" applying both types.

share_attn

This parameter specifies the type of attention sharing to be used. It can take values from the SHARE_ATTN_OPTIONS, which usually include options like "q", "k", "v", and combinations thereof. Attention sharing ensures that the model's attention mechanisms are aligned, which is crucial for maintaining stylistic coherence. For instance, sharing queries (q), keys (k), and values (v) can help in synchronizing the attention maps across different parts of the model.

scale

This parameter is a floating-point value that controls the scaling factor for 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 influences the intensity of the style alignment, with higher values leading to stronger alignment effects. Adjusting this parameter allows for fine-tuning the balance between the original model's characteristics and the desired stylistic adjustments.

StyleAligned Batch Align Output Parameters:

model

The output of this node is the modified model with the applied style alignment patch. This patched model incorporates the specified normalization and attention sharing adjustments, resulting in a model that produces more stylistically aligned outputs. The output model retains all the original functionalities but with enhanced stylistic coherence.

StyleAligned Batch Align Usage Tips:

• Experiment with different share_norm and share_attn options to find the best combination for your specific artistic needs.
• Use the scale parameter to fine-tune the intensity of the style alignment. Start with the default value and adjust incrementally to see the effects.
• Apply this node to batches of models or images that require a consistent style to ensure uniformity across your work.

StyleAligned Batch Align Common Errors and Solutions:

"Invalid normalization option"

• Explanation: This error occurs when an unsupported value is provided for the share_norm parameter.
• Solution: Ensure that the value for share_norm is one of the allowed options: "group", "layer", or "both".

"Invalid attention option"

• Explanation: This error occurs when an unsupported value is provided for the share_attn parameter.
• Solution: Ensure that the value for share_attn is one of the allowed options, such as "q", "k", "v", or their combinations.

"Scale value out of range"

• Explanation: This error occurs when the scale parameter is set to a value outside the allowed range (0 to 1.0).
• Solution: Adjust the scale parameter to a value within the specified range, ensuring it is between 0 and 1.0.