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 | No | 0.0 - 100.0 |
width | The width of the output video. Must be divisible by 16. (default: 832) | INT | No | 16 - MAX_RESOLUTION |
height | The height of the output video. Must be divisible by 16. (default: 480) | INT | No | 16 - MAX_RESOLUTION |
length | The number of frames in the video sequence. (default: 81) | INT | No | 1 - MAX_RESOLUTION |
batch_size | The batch size for the latent output. (default: 1) | INT | No | 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. | CLIPVISIONOUTPUT | No | - |
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 | 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 dimensions shaped by the batch_size, length, height, and width inputs. | LATENT |
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