> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-chore-sync-comfy-api-v2-spec.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# WanMoveTrackToVideo - ComfyUI Built-in Node Documentation

> The WanMoveTrackToVideo node prepares conditioning and latent space data for video generation, incorporating optional motion tracking information.

The 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            | Description                                                                   | Data Type            | Required | Range                |
| -------------------- | ----------------------------------------------------------------------------- | -------------------- | -------- | -------------------- |
| `positive`           | The positive conditioning input to be modified.                               | CONDITIONING         | Yes      | -                    |
| `negative`           | The negative conditioning input to be modified.                               | CONDITIONING         | Yes      | -                    |
| `vae`                | The VAE model used to encode the starting image into the latent space.        | VAE                  | Yes      | -                    |
| `tracks`             | Optional motion tracking data containing object paths.                        | TRACKS               | No       | -                    |
| `strength`           | Strength of the track conditioning. (default: 1.0)                            | FLOAT                | Yes      | 0.0 - 100.0          |
| `width`              | The width of the output video. Must be divisible by 16. (default: 832)        | INT                  | Yes      | 16 - MAX\_RESOLUTION |
| `height`             | The height of the output video. Must be divisible by 16. (default: 480)       | INT                  | Yes      | 16 - MAX\_RESOLUTION |
| `length`             | The number of frames in the video sequence, in increments of 4. (default: 81) | INT                  | Yes      | 1 - MAX\_RESOLUTION  |
| `batch_size`         | The batch size for the latent output. (default: 1)                            | INT                  | Yes      | 1 - 4096             |
| `start_image`        | The starting image or image sequence to encode.                               | IMAGE                | Yes      | -                    |
| `clip_vision_output` | Optional CLIP vision model output to add to the conditioning.                 | CLIP\_VISION\_OUTPUT | No       | -                    |

**Note:** The `strength` parameter only has an effect when `tracks` are provided and `strength` is greater than 0.0; track conditioning is applied only when `start_image` is also provided. If `tracks` are not provided or `strength` is 0.0, the track blending is skipped. When track blending is active, the positive conditioning receives the track-blended latent image, while the negative conditioning receives the unmodified latent image. If `start_image` is not provided, no latent image and mask conditioning is created; the positive and negative conditioning pass through unchanged (except that `clip_vision_output` is still added if provided), and the node outputs an empty latent.

**Note:** When `start_image` is provided, the image sequence is resized to the target `width` and `height` and truncated to the first `length` frames. If the sequence is shorter than `length`, the remaining frames are filled with neutral gray frames (value 0.5) before VAE encoding. The resulting conditioning includes a `concat_mask` with value 0 at the temporal positions corresponding to the start image frames and 1 elsewhere.

## Outputs

| Output Name | Description                                                                                                                                                                     | Data Type    |
| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------ |
| `positive`  | The modified positive conditioning, potentially containing `concat_latent_image`, `concat_mask`, and `clip_vision_output`.                                                      | CONDITIONING |
| `negative`  | The modified negative conditioning, potentially containing `concat_latent_image`, `concat_mask`, and `clip_vision_output`.                                                      | CONDITIONING |
| `latent`    | An empty latent tensor with shape `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]`, determined by the `batch_size`, `length`, `height`, and `width` inputs. | LATENT       |

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTrackToVideo/en.md)

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