ComfyUI Node: Crop Face

Crop Face:

The Crop Face node is designed to precisely extract and align facial regions from an image, making it an essential tool for tasks such as face swapping, facial recognition, and image enhancement. By leveraging advanced facial landmark detection and alignment techniques, this node ensures that the cropped face is accurately positioned and scaled, facilitating seamless integration with other image processing workflows. The primary goal of the Crop Face node is to isolate the face from the rest of the image, providing a clean and focused facial region that can be further processed or analyzed. This node is particularly beneficial for AI artists who need to manipulate or enhance facial features without affecting the surrounding areas.

Crop Face Input Parameters:

img

The img parameter represents the input image from which the face will be cropped. This image should contain at least one visible face for the node to function correctly. The quality and resolution of the input image can impact the accuracy of the face detection and alignment process.

save_cropped_path

The save_cropped_path parameter specifies the file path where the cropped face image will be saved. If this parameter is not provided, the cropped face will not be saved to disk. This parameter allows you to store the cropped face image for later use or further processing.

Crop Face Output Parameters:

cropped_face

The cropped_face parameter is the output image containing the cropped and aligned face. This output is a focused region of the original image, containing only the face, which can be used for various applications such as face swapping, recognition, or enhancement.

Crop Face Usage Tips:

• Ensure that the input image has good lighting and clear visibility of the face to improve the accuracy of the face detection and alignment.
• Use high-resolution images to achieve better results, as low-resolution images may lead to less accurate face cropping.
• If you need to process multiple images, consider using a loop to automate the cropping process and save each cropped face to a specified directory.

Crop Face Common Errors and Solutions:

"No face detected in the image"

• Explanation: This error occurs when the node is unable to detect any faces in the input image.
• Solution: Ensure that the input image contains at least one visible face and that the face is not obscured or too small. Try using a higher resolution image or adjusting the lighting conditions.

"Failed to save cropped face image"

• Explanation: This error occurs when the node is unable to save the cropped face image to the specified path.
• Solution: Verify that the save_cropped_path parameter is correctly specified and that the directory exists and is writable. Ensure that there are no permission issues preventing the node from saving the file.