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Efficient face swapping node with customization options for high-quality results using advanced techniques.
ReActorFaceSwapOpt is a versatile and efficient node designed for fast face swapping with additional customization options. This node allows you to swap faces between images while providing various parameters to fine-tune the process, ensuring high-quality and realistic results. It leverages advanced face analysis and swapping techniques to detect and replace faces in target images with those from source images. The node is particularly beneficial for AI artists looking to create seamless and natural-looking face swaps, offering enhanced control over the swapping process through its optional settings.
The source image containing the face you want to swap into the target image. This parameter is crucial as it provides the face that will be analyzed and transferred. Ensure the source image is clear and well-lit for optimal results.
The target image where the face from the source image will be swapped. This image should also be clear and well-lit to facilitate accurate face detection and swapping.
An index specifying which face in the source image to use for the swap. This is useful when the source image contains multiple faces. The default value is 0, indicating the first detected face.
An index specifying which face in the target image to replace. This is useful when the target image contains multiple faces. The default value is 0, indicating the first detected face.
The path to the face swap model to be used. This model determines the quality and style of the face swap. Ensure the model path is correctly specified to avoid errors.
A parameter to specify the gender of the source face. This helps in ensuring gender consistency during the face swap. Options typically include "male" and "female".
A parameter to specify the gender of the target face. This helps in ensuring gender consistency during the face swap. Options typically include "male" and "female".
The face model to be used for the swap. This model is used to analyze and understand the facial features of both the source and target images.
An order parameter to specify the sequence in which faces should be processed. This is useful when dealing with multiple faces in the images.
A boolean parameter to enable or disable face boosting. When enabled, it enhances the swapped face for better quality. The default value is False.
The model used for restoring the face after swapping. This helps in refining the swapped face to make it look more natural and integrated with the target image.
A parameter to control the visibility of the restored face. This helps in blending the restored face with the target image seamlessly.
A weight parameter for the CodeFormer model, which is used for face restoration. This controls the intensity of the restoration process.
A parameter to specify the interpolation method used during the face swap. This affects the smoothness and quality of the final swapped face.
The final image with the face swapped. This output is the result of the face swap process, incorporating all the specified parameters and settings to produce a high-quality and realistic face swap.
face_boost_enabled
parameter to enhance the quality of the swapped face, especially when dealing with high-resolution images.codeformer_weight
parameter to control the intensity of face restoration, balancing between natural look and detail preservation.gender_target
parameter.gender_target
parameter and ensure it matches the actual gender of the target face. Adjust the parameter if necessary.{face_num}
"faces_index
parameter and ensure it corresponds to a valid face in the target image. Adjust the index if necessary.© Copyright 2024 RunComfy. All Rights Reserved.