ComfyUI Node: Align Face

Align Face:

The AlignFace node is designed to facilitate the alignment of facial images, ensuring that the faces within an image are properly oriented and standardized for further processing or analysis. This node is particularly beneficial for applications that require consistent facial positioning, such as portrait editing, facial recognition, or any AI-driven art projects that involve human faces. By aligning faces, the node helps in achieving uniformity across images, which is crucial for maintaining aesthetic consistency and improving the accuracy of subsequent image processing tasks. The node uses facial landmarks to determine the orientation of the face and applies transformations to align the face based on these landmarks, making it a powerful tool for artists and developers working with facial imagery.

Align Face Input Parameters:

image

The image parameter is the primary input for the AlignFace node, representing the image that contains the face or faces to be aligned. This parameter is crucial as it provides the raw data that the node will process. The image should be in a format that the node can interpret, typically a standard image format like JPEG or PNG. The quality and resolution of the image can impact the accuracy of the face alignment, so it is recommended to use clear and well-lit images for optimal results.

half

The half parameter is a boolean option that determines whether the image processing should be performed in half-precision mode. This can be useful for reducing memory usage and potentially speeding up processing times, especially on hardware that supports half-precision computation. The default value is typically False, meaning full precision is used, but setting it to True can be beneficial in resource-constrained environments.

horizontal_padding

The horizontal_padding parameter is a float that specifies the amount of padding to be added horizontally around the detected face. This padding can help ensure that the entire face is included in the aligned output, even if the original detection is slightly off. The default value is 1.0, with a minimum of 0.0 and a maximum of 5.0, allowing for fine-tuning based on the specific needs of the project.

vertical_padding

Similar to horizontal_padding, the vertical_padding parameter is a float that determines the vertical padding around the detected face. This ensures that the face is not cropped too closely and that any important features are not lost during alignment. The default value is 1.0, with a range from 0.0 to 5.0, providing flexibility in how much extra space is included in the aligned image.

do_align

The do_align parameter is a boolean that indicates whether the alignment process should be performed. By default, this is set to True, meaning the node will attempt to align the face(s) in the image. If set to False, the node will skip the alignment process, which might be useful in scenarios where alignment is not necessary or desired.

angle_offset

The angle_offset parameter is a float that allows for a manual adjustment of the alignment angle. This can be useful for fine-tuning the alignment if the automatic process does not achieve the desired orientation. The default value is 1.0, with a range from -10.0 to 10.0, providing a wide scope for adjustment to accommodate various artistic or technical requirements.

Align Face Output Parameters:

image

The image output parameter represents the aligned image resulting from the node's processing. This output is crucial as it provides the final product of the alignment process, ready for further use in your projects. The aligned image will have the face(s) oriented according to the specified parameters, ensuring consistency and accuracy for any subsequent processing or analysis tasks.

Align Face Usage Tips:

• Ensure that the input image is of high quality and well-lit to improve the accuracy of face detection and alignment.
• Experiment with the horizontal_padding and vertical_padding parameters to achieve the desired framing around the face, especially if the default settings do not capture the entire face as intended.
• Use the angle_offset parameter to manually adjust the alignment if the automatic process does not achieve the desired orientation, particularly in cases where the face is slightly tilted.

Align Face Common Errors and Solutions:

Multiple faces detected, please upload an image of a single face.

• Explanation: This error occurs when the input image contains more than one face, and the node is configured to process only a single face at a time.
• Solution: Ensure that the input image contains only one face, or adjust the node settings to handle multiple faces if that is supported.

No face detected, please upload an image containing the face.

• Explanation: This error indicates that the node was unable to detect any faces in the input image, possibly due to poor image quality or incorrect image content.
• Solution: Verify that the input image contains a clear and visible face. Improve the image quality or lighting if necessary, and ensure that the face is not obscured or too small.