ComfyUI Node: Face Align

Face Align:

FaceAlign is a powerful node designed to align faces in images based on key facial landmarks, such as the eyes. This node is particularly useful for AI artists who need to ensure that faces in different images are oriented similarly, which can be crucial for tasks like face swapping, morphing, or any other image manipulation that requires precise alignment. By leveraging facial keypoints, FaceAlign can rotate and adjust the orientation of a face in one image to match the orientation of a face in another image, or simply align a single face to a standard orientation. This helps in maintaining consistency and accuracy in your artistic projects, making the process of face alignment seamless and efficient.

Face Align Input Parameters:

analysis_models

This parameter represents the model used for facial analysis. It is responsible for detecting key facial landmarks, such as the eyes, which are essential for the alignment process. The accuracy and performance of the FaceAlign node heavily depend on the quality and capabilities of the analysis model used. There are no specific minimum, maximum, or default values for this parameter, but it must be a model capable of providing precise facial keypoints.

image_from

This parameter is the primary image containing the face that needs to be aligned. The image should be provided in a format that the node can process, typically as a tensor. The face in this image will be analyzed to detect keypoints, and the image will be rotated to achieve the desired alignment. There are no specific minimum, maximum, or default values for this parameter, but it must be a valid image tensor.

image_to (optional)

This optional parameter is the reference image containing the face to which the primary image will be aligned. If provided, the node will use the keypoints from this image to determine the necessary rotation angle for alignment. If not provided, the node will align the face in the primary image to a standard orientation based on its own keypoints. There are no specific minimum, maximum, or default values for this parameter, but it must be a valid image tensor if used.

Face Align Output Parameters:

IMAGE

The output of the FaceAlign node is an image tensor with the face aligned according to the detected keypoints. This aligned image can then be used for further processing or directly in your artistic projects. The output image maintains the same quality and resolution as the input image but with the face properly oriented, ensuring consistency and accuracy in your work.

Face Align Usage Tips:

• Ensure that the analysis model used is capable of accurately detecting facial keypoints, as the alignment quality depends on this.
• When aligning faces between two images, make sure both images are of similar resolution and quality to achieve the best results.
• Use the optional image_to parameter when you need to align the face in the primary image to match the orientation of a face in another image, such as for face swapping tasks.

Face Align Common Errors and Solutions:

No face detected in the image

• Explanation: The analysis model was unable to detect a face in the provided image.
• Solution: Ensure that the image contains a clear and unobstructed view of a face. You may also try using a different analysis model with better face detection capabilities.

Invalid image tensor format

• Explanation: The provided image is not in a valid tensor format that the node can process.
• Solution: Verify that the image is correctly formatted as a tensor before passing it to the node. Ensure that the image tensor is properly preprocessed and normalized if required.

Keypoints detection failed

• Explanation: The analysis model failed to detect key facial landmarks in the image.
• Solution: Check the quality of the input image and ensure it is not too blurry or low-resolution. Consider using a more robust analysis model that can handle a wider range of image qualities.