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Efficient batch face model creation tool with advanced analysis and automation for AI artists.
The ReActorMakeFaceModelBatch
node is designed to streamline the process of creating face models in batches, making it an efficient tool for AI artists who need to handle multiple face models simultaneously. This node leverages advanced face analysis and model-building techniques to generate high-quality face models from a batch of input images. By automating the face model creation process, it saves time and ensures consistency across multiple models, which is particularly beneficial for projects requiring numerous face swaps or enhancements. The node integrates seamlessly with other ReActor nodes, allowing for a smooth workflow in face-related operations.
This parameter specifies the order in which the input faces should be processed. It ensures that the faces are handled in a specific sequence, which can be crucial for maintaining consistency in batch operations. The order can be defined based on the requirements of your project, and it impacts the final arrangement of the face models.
The input_faces_index
parameter determines the specific indices of the faces to be processed from the input batch. This allows you to target particular faces within a batch, providing flexibility in selecting which faces to include in the model creation process. The indices should be specified as a list of integers.
This boolean parameter indicates whether the gender of the input faces should be detected during the model creation process. Enabling this option can help in generating more accurate and contextually appropriate face models by considering gender-specific features. The default value is typically False
.
Similar to input_faces_order
, this parameter defines the order of the source faces to be used in the batch process. It ensures that the source faces are processed in a specific sequence, which can be important for maintaining the desired order in the final face models.
The source_faces_index
parameter specifies the indices of the source faces to be used in the batch process. This allows you to select specific faces from the source batch, providing control over which faces are included in the model creation. The indices should be specified as a list of integers.
This boolean parameter indicates whether the gender of the source faces should be detected during the model creation process. Enabling this option can enhance the accuracy of the face models by considering gender-specific features. The default value is typically False
.
The console_log_level
parameter sets the verbosity of the console logs generated during the batch process. It helps in monitoring the process and debugging if necessary. The log level can be set to different values such as INFO
, DEBUG
, WARNING
, etc., depending on the amount of detail you need in the logs.
This output parameter provides the batch of generated face models. Each model in the batch corresponds to an input face, processed and enhanced according to the specified parameters. The face models can be used in subsequent face-related operations, such as face swapping or enhancement.
The process_log
output parameter contains detailed logs of the batch process. It includes information about the steps taken, any issues encountered, and the overall progress of the face model creation. This log is useful for reviewing the process and troubleshooting any problems that may arise.
detect_gender_input
and detect_gender_source
parameters to improve the accuracy of the face models by considering gender-specific features.console_log_level
to DEBUG
during initial runs to get detailed logs for troubleshooting and then switch to INFO
or WARNING
for regular use to reduce verbosity.input_faces_index
and source_faces_index
parameters are within the range of the available faces in the input and source batches, respectively.console_log_level
parameter.console_log_level
to a valid log level such as INFO
, DEBUG
, WARNING
, etc.© Copyright 2024 RunComfy. All Rights Reserved.