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Facial expression manipulation tool for AI-generated portraits with precise parameter control.
The ExpressionEditor node is designed to facilitate the manipulation and fine-tuning of facial expressions in AI-generated portraits. This node allows you to adjust various parameters that define the facial expressions, providing a high degree of control over the final output. By leveraging the capabilities of the ExpressionEditor, you can create more dynamic and expressive portraits, enhancing the realism and emotional impact of your AI-generated images. The node is particularly useful for artists looking to add nuanced expressions to their characters, making it an essential tool in the Advanced Live Portrait suite.
This parameter represents the first code that will be used to modify the expression. It is an integer value that determines which part of the expression will be affected. The code is divided into an index and a remainder, where the index specifies the facial feature and the remainder specifies the sub-feature. This allows for precise control over specific aspects of the expression.
This parameter is a float that specifies the value to be added to the expression feature defined by code1
. The value is scaled by 0.001 before being applied, allowing for fine adjustments. The default value is 0, and it can be positive or negative to increase or decrease the feature's intensity.
Similar to code1
, this parameter represents the second code for modifying another part of the expression. It follows the same structure, allowing for additional adjustments to different facial features.
This parameter is a float that specifies the value to be added to the expression feature defined by code2
. It is also scaled by 0.001 before being applied. The default value is 0, and it can be adjusted to fine-tune the expression further.
This parameter represents the third code for modifying yet another part of the expression. It allows for even more detailed adjustments to the facial features.
This parameter is a float that specifies the value to be added to the expression feature defined by code3
. It is scaled by 0.001 before being applied. The default value is 0, and it can be adjusted to achieve the desired expression.
This parameter represents the fourth code for modifying an additional part of the expression. It provides further control over the facial features.
This parameter is a float that specifies the value to be added to the expression feature defined by code4
. It is scaled by 0.001 before being applied. The default value is 0, and it can be adjusted to refine the expression.
This parameter represents the fifth code for modifying one more part of the expression. It allows for comprehensive adjustments to the facial features.
This parameter is a float that specifies the value to be added to the expression feature defined by code5
. It is scaled by 0.001 before being applied. The default value is 0, and it can be adjusted to perfect the expression.
This optional parameter allows you to add an existing expression set to the current modifications. If provided, the existing expression set will be combined with the new adjustments, allowing for complex and layered expressions. The default value is None
.
The output parameter exp
is an ExpressionSet
object that contains the modified facial expression data. This object can be used in subsequent nodes to apply the adjusted expression to AI-generated portraits. The ExpressionSet
includes detailed information about the facial features and their respective adjustments, making it a crucial component for creating expressive and dynamic portraits.
code
and value
parameters to achieve a wide range of expressions. Small adjustments can lead to significant changes in the final output.add_exp
parameter to layer multiple expressions, creating more complex and nuanced facial expressions.value
parameters to see how each change affects the expression. This approach helps in understanding the impact of each parameter.add_exp
parameter is None
and the code attempts to add a float value to it.add_exp
parameter is either provided with a valid ExpressionSet
object or handled appropriately in the code to avoid this error.code
parameters are not within the valid range for the expression indices.code
parameters are within the valid range for the facial features and sub-features. Adjust the codes to ensure they are correctly targeting the desired parts of the expression.value
parameters are not valid float numbers.value
parameters are valid float numbers. Check for any incorrect data types or formatting issues in the input values.© Copyright 2024 RunComfy. All Rights Reserved.