ComfyUI Node: muse_pose_align

muse_pose_align:

The museposealign node is designed to align poses between an image and a video, ensuring that the body parts in the image are accurately aligned with those in the video frames. This node is particularly useful for AI artists who want to create consistent and coherent animations or visual effects by maintaining the pose alignment across different media. By leveraging advanced pose detection and alignment techniques, museposealign helps in achieving a seamless transition and synchronization between static images and dynamic video content, enhancing the overall visual quality and coherence of the project.

muse_pose_align Input Parameters:

image

This parameter accepts an image that serves as the reference for pose alignment. The image should be in a format that the node can process, typically a standard image file. The quality and resolution of this image can significantly impact the accuracy of the pose alignment.

video

This parameter takes a string representing the path to the video file. The video provides the frames that will be aligned with the reference image. The default value is an empty string, indicating no video is provided. Ensure the video path is correct and accessible to avoid errors.

detect_resolution

This integer parameter sets the resolution for pose detection. Higher values can lead to more accurate pose detection but may require more computational resources. The default value is 512. Adjust this value based on the desired balance between accuracy and performance.

image_resolution

This integer parameter defines the resolution of the output image after alignment. A higher resolution can improve the visual quality of the aligned image but may also increase processing time. The default value is 700. Choose a resolution that fits your project's requirements.

max_frame

This integer parameter specifies the maximum number of frames to process from the video. Limiting the number of frames can help manage processing time and resources. The default value is 300. Adjust this value based on the length of your video and the desired output.

align_frame

This integer parameter determines the specific frame in the video to align with the reference image. The default value is 0, which typically refers to the first frame. You can change this value to align with a different frame in the video.

muse_pose_align Output Parameters:

IMAGE

The output is an image with the poses aligned between the reference image and the specified video frame. This aligned image ensures that the body parts in the image match the positions and orientations of those in the video frame, providing a coherent and synchronized visual output.

muse_pose_align Usage Tips:

• Ensure that the reference image and video are of high quality to achieve the best pose alignment results.
• Adjust the detect_resolution and image_resolution parameters to balance between accuracy and processing time based on your project's needs.
• Use the max_frame parameter to limit the number of frames processed, which can help manage computational resources for longer videos.
• Experiment with different align_frame values to find the best frame in the video that matches the desired pose in the reference image.

muse_pose_align Common Errors and Solutions:

"File not found"

• Explanation: The specified video file path is incorrect or the file does not exist.
• Solution: Verify the video file path and ensure the file is accessible.

"Invalid resolution value"

• Explanation: The detect_resolution or image_resolution parameter is set to an invalid value.
• Solution: Ensure that the resolution values are positive integers and within a reasonable range for your hardware capabilities.

"Frame index out of range"

• Explanation: The align_frame parameter is set to a value that exceeds the number of frames in the video.
• Solution: Adjust the align_frame value to be within the range of available frames in the video.

"Insufficient memory"

• Explanation: The node requires more memory than available, possibly due to high resolution settings or a large number of frames.
• Solution: Reduce the detect_resolution, image_resolution, or max_frame values to lower memory usage.