This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe WanMoveTrackToVideo node prepares conditioning and latent space data for video generation, incorporating optional motion tracking information. It encodes a starting image sequence into a latent representation and can blend in positional data from object tracks to guide the motion in the generated video. The node outputs modified positive and negative conditioning along with an empty latent tensor ready for a video model.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
positive | CONDITIONING | Yes | - | The positive conditioning input to be modified. |
negative | CONDITIONING | Yes | - | The negative conditioning input to be modified. |
vae | VAE | Yes | - | The VAE model used to encode the starting image into the latent space. |
tracks | TRACKS | No | - | Optional motion tracking data containing object paths. |
strength | FLOAT | No | 0.0 - 100.0 | Strength of the track conditioning. (default: 1.0) |
width | INT | No | 16 - MAX_RESOLUTION | The width of the output video. Must be divisible by 16. (default: 832) |
height | INT | No | 16 - MAX_RESOLUTION | The height of the output video. Must be divisible by 16. (default: 480) |
length | INT | No | 1 - MAX_RESOLUTION | The number of frames in the video sequence. (default: 81) |
batch_size | INT | No | 1 - 4096 | The batch size for the latent output. (default: 1) |
start_image | IMAGE | Yes | - | The starting image or image sequence to encode. |
clip_vision_output | CLIPVISIONOUTPUT | No | - | Optional CLIP vision model output to add to the conditioning. |
strength parameter only has an effect when tracks are provided. If tracks are not provided or strength is 0.0, the track conditioning is not applied. The start_image is used to create a latent image and mask for the conditioning; if it is not provided, the node only passes through the conditioning and outputs an empty latent.
Outputs
| Output Name | Data Type | Description |
|---|---|---|
positive | CONDITIONING | The modified positive conditioning, potentially containing concat_latent_image, concat_mask, and clip_vision_output. |
negative | CONDITIONING | The modified negative conditioning, potentially containing concat_latent_image, concat_mask, and clip_vision_output. |
latent | LATENT | An empty latent tensor with dimensions shaped by the batch_size, length, height, and width inputs. |