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Facilitates combining multiple attention regions in AI models for image processing and conditioning, enhancing control over attention mechanisms.
The AttentionCoupleRegions
node is designed to facilitate the combination of multiple attention regions within an AI model, particularly useful in tasks involving image processing and conditioning. This node allows you to specify multiple regions of interest, each with its own attention parameters, and then combines these regions into a single, cohesive attention map. This capability is particularly beneficial for tasks that require focused attention on specific parts of an image, such as in artistic AI applications where different regions of an image may need varying levels of attention or conditioning. By using this node, you can achieve more nuanced and detailed control over the attention mechanisms in your models, leading to more refined and targeted outputs.
These parameters represent individual attention regions that can be specified as inputs. Each region_i
is of type ATTENTION_COUPLE_REGION
, which includes conditioning, mask, and weight information for that specific region. These regions are optional, and you can provide as many as needed up to a maximum of 11. Each region allows you to define a specific area of interest within the image, along with the corresponding attention parameters, enabling fine-grained control over how different parts of the image are processed.
This parameter is an optional list of ATTENTION_COUPLE_REGION
objects. It allows you to specify multiple attention regions in a single input, providing a more flexible way to define complex attention maps. If provided, this list will be combined with any individual region_i
parameters specified. This parameter is useful when you have a dynamic or variable number of regions to process, as it allows for more scalable and adaptable configurations.
The output parameter regions
is of type ATTENTION_COUPLE_REGION
. It represents the combined attention map created by merging all the specified regions. This output is a flattened list of all the individual regions, ensuring that each specified region is included in the final attention map. The combined regions provide a comprehensive attention map that can be used in subsequent processing steps, allowing for more detailed and targeted attention mechanisms in your AI models.
AttentionCoupleRegions
node, start by defining the most critical regions of interest in your image and specify them using the region_i
parameters.regions
parameter to input a list of attention regions, which provides more flexibility and scalability.regions
parameter is not provided as a list.regions
parameter is passed as a list of ATTENTION_COUPLE_REGION
objects, even if it contains only one item.ATTENTION_COUPLE_REGION
.ATTENTION_COUPLE_REGION
objects and that they include the necessary conditioning, mask, and weight information.© Copyright 2024 RunComfy. All Rights Reserved.