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Merge multiple IPAdapter parameters into a cohesive set for flexible AI art project manipulation.
The IPAdapterCombineParams
node is designed to merge multiple sets of IPAdapter parameters into a single cohesive set. This node is particularly useful when you need to combine different parameter configurations to create a more complex and nuanced IPAdapter setup. By aggregating parameters such as images, attention masks, weights, and timing information, this node allows for a more flexible and powerful manipulation of IPAdapter settings. The primary goal of this node is to streamline the process of combining various parameter sets, making it easier to manage and apply them in your AI art projects.
This is the first set of IPAdapter parameters that you want to combine. It includes various attributes such as image
, attn_mask
, weight
, weight_type
, start_at
, and end_at
. These attributes are essential for defining the behavior and characteristics of the IPAdapter.
This is the second set of IPAdapter parameters to be combined with params_1
. It contains the same attributes as params_1
and will be merged to create a more comprehensive parameter set.
An optional third set of IPAdapter parameters. If provided, these parameters will be added to the combined set, further enriching the final configuration.
An optional fourth set of IPAdapter parameters. Similar to params_3
, these parameters will be included in the final combined set if provided.
An optional fifth set of IPAdapter parameters. If included, these parameters will be merged with the others to form the final set of IPAdapter parameters.
The output is a single, combined set of IPAdapter parameters. This set includes aggregated values for image
, attn_mask
, weight
, weight_type
, start_at
, and end_at
, derived from the input parameter sets. This combined set can then be used for more complex and nuanced IPAdapter configurations.
params_1
to params_5
) are correctly formatted and contain the necessary attributes to avoid errors during the combination process.params_3
to params_5
) to include additional configurations as needed, but ensure they are relevant to your specific use case.image
, attn_mask
, weight
, weight_type
, start_at
, or end_at
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