Inputs
| Parameter | Description | Data Type | Required | Range |
|---|---|---|---|---|
positive | The positive conditioning prompts that describe what the video should contain. | CONDITIONING | Yes | - |
negative | The negative conditioning prompts that describe what the video should avoid. | CONDITIONING | Yes | - |
vae | The VAE (Variational Autoencoder) model used to encode the starting image into the latent space. | VAE | Yes | - |
width | The width of the output video frames in pixels. Must be divisible by 16. (default: 848) | INT | No | 16 to MAX_RESOLUTION, step: 16 |
height | The height of the output video frames in pixels. Must be divisible by 16. (default: 480) | INT | No | 16 to MAX_RESOLUTION, step: 16 |
length | The total number of frames in the video sequence. Must be a multiple of 4. (default: 33) | INT | No | 1 to MAX_RESOLUTION, step: 4 |
batch_size | The number of video sequences to generate in a single batch. (default: 1) | INT | No | 1 to 4096 |
start_image | An optional starting image to initialize the video generation. If provided, it is encoded and used to condition the first frames. Only the first length frames of the image are used. | IMAGE | No | - |
clip_vision_output | Optional CLIP vision embeddings to provide additional visual conditioning for the generation. | CLIP_VISION_OUTPUT | No | - |
start_image is provided, it is automatically resized to match the specified width and height using bilinear interpolation. The first length frames of the image batch are used. The encoded image is then added to both the positive and negative conditioning as a concat_latent_image with a corresponding concat_mask. The mask is set to 0.0 for the frames covered by the starting image and 1.0 for the remaining frames.
Outputs
| Output Name | Description | Data Type |
|---|---|---|
positive | The modified positive conditioning, which may now include the encoded starting image or CLIP vision output. | CONDITIONING |
negative | The modified negative conditioning, which may now include the encoded starting image or CLIP vision output. | CONDITIONING |
latent | An empty latent tensor with dimensions configured for the specified batch size, video length, width, and height. | LATENT |
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