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Comprehensive face processing configuration options for ReActor suite tasks, optimizing performance and accuracy.
The ReActorOptions node is designed to provide a comprehensive set of configuration options for various face processing tasks within the ReActor suite. This node allows you to fine-tune the behavior of face detection, gender detection, and face ordering, among other settings. By adjusting these options, you can optimize the performance and accuracy of face-related operations, ensuring that the results meet your specific requirements. The node is particularly useful for customizing the input and source face parameters, as well as controlling the verbosity of console logs, making it a versatile tool for AI artists working on complex face manipulation projects.
This parameter determines the order in which input faces are processed. You can choose from several options: "left-right", "right-left", "top-bottom", "bottom-top", "small-large", and "large-small". The default value is "large-small". Adjusting this setting can impact the sequence in which faces are detected and processed, which may be important for tasks requiring specific face ordering.
This parameter specifies the index of the input face to be processed. It is a string value with a default of "0". This setting allows you to target a specific face in a multi-face input scenario, providing greater control over which face is manipulated.
This parameter controls whether gender detection is performed on the input faces. The options are "no", "female", and "male", with the default being "no". Enabling gender detection can improve the accuracy of certain face processing tasks by tailoring the operations based on the detected gender.
Similar to input_faces_order
, this parameter determines the order in which source faces are processed. The available options are the same: "left-right", "right-left", "top-bottom", "bottom-top", "small-large", and "large-small", with a default value of "large-small". This setting is useful for ensuring that source faces are processed in a specific sequence.
This parameter specifies the index of the source face to be processed. It is a string value with a default of "0". This setting allows you to target a specific face in a multi-face source scenario, providing greater control over which face is used for operations.
This parameter controls whether gender detection is performed on the source faces. The options are "no", "female", and "male", with the default being "no". Enabling gender detection can improve the accuracy of certain face processing tasks by tailoring the operations based on the detected gender.
This parameter sets the verbosity level of console logs. The options are 0, 1, and 2, with a default value of 1. Adjusting this setting can help you control the amount of information displayed in the console, which can be useful for debugging or monitoring the node's performance.
The output parameter OPTIONS
is a dictionary containing all the configuration settings specified in the input parameters. This dictionary is used by other nodes in the ReActor suite to apply the specified options during face processing tasks. The OPTIONS
output ensures that all settings are consistently applied across different operations, providing a unified configuration mechanism.
input_faces_order
and source_faces_order
parameters to ensure that faces are processed in the desired sequence, which can be crucial for tasks involving multiple faces.detect_gender_input
and detect_gender_source
parameters to enable gender-specific processing, which can enhance the accuracy of certain face manipulation tasks.console_log_level
to 2 for detailed logging during development and debugging, and reduce it to 0 or 1 for regular use to minimize console clutter.face_model
input_faces_order
input_faces_order
parameter.input_faces_order
and ensure that the value is one of the following: "left-right", "right-left", "top-bottom", "bottom-top", "small-large", or "large-small".console_log_level
console_log_level
parameter.console_log_level
is either 0, 1, or 2.© Copyright 2024 RunComfy. All Rights Reserved.