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Facilitates smooth interpolation of poses between keypoint sets for seamless animation transitions.
The Pose_Inter node is designed to facilitate the smooth interpolation of poses between two sets of keypoints, creating a seamless transition over a specified number of frames. This node is particularly useful for AI artists looking to animate characters or objects by generating intermediate poses that blend from one keypoint configuration to another. By leveraging this node, you can create fluid motion sequences that enhance the realism and dynamism of your animations. The node supports different landmark types, such as OpenPose and DWPose, allowing for flexibility in the type of keypoints used. The primary goal of Pose_Inter is to automate the process of generating intermediate frames, saving you time and effort while ensuring high-quality results.
This parameter represents the starting pose keypoints from which the interpolation will begin. It is a set of keypoints that define the initial position of the object or character. The accuracy and detail of these keypoints directly impact the quality of the interpolation.
This parameter represents the ending pose keypoints to which the interpolation will transition. It is a set of keypoints that define the final position of the object or character. The node will generate intermediate frames that smoothly transition from the pose_from
keypoints to the pose_to
keypoints.
This integer parameter specifies the number of intermediate frames to generate between the starting and ending poses. The default value is 10, with a minimum of 2 and a maximum of 100. Increasing the number of frames results in a smoother transition but requires more computational resources.
This parameter allows you to choose the type of keypoints used for the interpolation. The available options are "OpenPose" and "DWPose". Selecting the appropriate landmark type ensures compatibility with the keypoints data and affects the interpolation process.
The output of the Pose_Inter node is a tensor containing the generated images for each interpolated frame. This tensor can be used to visualize the transition between poses, providing a sequence of images that depict the smooth motion from the starting pose to the ending pose. The images are normalized and ready for further processing or display.
interpolate_frames
, but be mindful of the increased computational load.pose_from
and pose_to
keypoints are accurately defined and correspond to the same landmark type to avoid inconsistencies in the interpolation.landmarkType
options to see which one best fits your specific use case and keypoints data.pose_from
and pose_to
includes the 'pose_keypoints_2d' field and is correctly formatted.pose_from
and pose_to
do not match.pose_from
and pose_to
contain the same number of keypoints to allow for proper interpolation.landmarkType
is provided.landmarkType
parameter is set to either "OpenPose" or "DWPose" and that it matches the type of keypoints data being used.© Copyright 2024 RunComfy. All Rights Reserved.