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Transforms float list into FEATURE object for seamless integration in feature-based systems, enhancing creative workflows.
The AK_FloatListToFlexFeature
node is designed to transform a list of float values into a FEATURE
type object, which is particularly useful in scenarios where you need to integrate numerical data with a feature-based system. This node allows you to take a sequence of float values and seamlessly convert them into a format that can be used within a feature framework, maintaining the integrity and structure of the original data. By doing so, it enables the integration of dynamic data into feature-driven processes, enhancing the flexibility and adaptability of your creative workflows. This conversion is essential for applications that require the manipulation or analysis of data in a feature-oriented context, providing a bridge between raw numerical data and structured feature objects.
The float_list
parameter is a list of float values that you wish to convert into a FEATURE
object. This list represents the numerical data that will be transformed and integrated into the feature framework. The values in this list are crucial as they determine the data that will populate the resulting feature object. There are no explicit minimum, maximum, or default values specified for this parameter, but it is essential that the list accurately represents the data you intend to use within the feature system.
The original_feature
parameter is a FEATURE
object that serves as the template or base for the conversion process. This object contains attributes such as get_value_at_frame(i)
and frame_count
, which are used to structure the new feature object. The original_feature
is combined with the float_list
to produce the output, ensuring that the resulting feature object retains the necessary attributes and structure for further use. This parameter is critical as it provides the framework within which the float list is integrated.
The output of the AK_FloatListToFlexFeature
node is a FEATURE
object. This object encapsulates the float values from the input list within a structured feature format, making it suitable for use in feature-based systems. The FEATURE
object retains the frame count and data structure necessary for integration into workflows that rely on feature data. This output is essential for applications that require the manipulation or analysis of data in a feature-oriented context, providing a bridge between raw numerical data and structured feature objects.
float_list
accurately represents the data you wish to convert, as this will directly impact the resulting FEATURE
object.original_feature
parameter to maintain the necessary structure and attributes for the output feature, ensuring compatibility with feature-based systems.float_list
parameter does not contain valid float values or is not formatted as a list.float_list
is a properly formatted list containing only float values. Ensure there are no non-numeric entries or formatting issues.original_feature
parameter does not have the necessary attributes, such as get_value_at_frame(i)
or frame_count
.original_feature
is a valid FEATURE
object with all required attributes. If necessary, create or modify the feature object to include these attributes before using it as an input.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.