Skip to main content
The WanAnimateToVideo node generates video content by combining multiple conditioning inputs including pose references, facial expressions, and background elements. It processes various video inputs to create coherent animated sequences while maintaining temporal consistency across frames. The node handles latent space operations and can extend existing videos by continuing motion patterns.

Inputs

Parameter Constraints:
  • When pose_video is provided, the output length will be adjusted to match the pose video duration if the trim_to_pose_video logic is active (currently set to False in the source code)
  • face_video is automatically resized to 512x512 resolution and normalized to a range of -1.0 to 1.0 when processed
  • continue_motion frames are limited by the continue_motion_max_frames parameter; only the last continue_motion_max_frames frames from the input are used
  • Input videos (face_video, pose_video, background_video, character_mask) are offset by video_frame_offset before processing; if the offset exceeds the video length, the input is ignored
  • If character_mask contains only one frame, it will be repeated across all frames
  • When clip_vision_output is provided, it’s applied to both positive and negative conditioning
  • If reference_image is not provided, a black image (all zeros) is used as the default reference
  • If continue_motion is not provided, the initial frames are filled with gray (0.5 intensity) noise

Outputs

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 2ec2afbc57f58a5b7ce0ecc3730618633d435439ce2d650b18be531c1edddff0