Inputs
| Parameter | Description | Data Type | Required | Range |
|---|---|---|---|---|
positive | Positive text conditioning for guiding the video generation | CONDITIONING | Yes | - |
negative | Negative text conditioning for guiding the video generation | CONDITIONING | Yes | - |
vae | VAE model used for encoding images to latent space | VAE | Yes | - |
width | Output video width (default: 832, step: 16) | INT | Yes | 16 to MAX_RESOLUTION |
height | Output video height (default: 480, step: 16) | INT | Yes | 16 to MAX_RESOLUTION |
length | Number of frames in the video sequence (default: 81, step: 4) | INT | Yes | 1 to MAX_RESOLUTION |
batch_size | Number of videos to generate simultaneously (default: 1) | INT | Yes | 1 to 4096 |
clip_vision_start_image | CLIP vision features extracted from the start image | CLIP_VISION_OUTPUT | No | - |
clip_vision_end_image | CLIP vision features extracted from the end image | CLIP_VISION_OUTPUT | No | - |
start_image | Starting frame image for the video sequence | IMAGE | No | - |
end_image | Ending frame image for the video sequence | IMAGE | No | - |
start_image and end_image are provided, the node creates a video sequence that transitions between these two frames. The clip_vision_start_image and clip_vision_end_image parameters are optional but when provided, their CLIP vision features are concatenated and applied to both positive and negative conditioning. The start_image is cropped to the first length frames, and the end_image is cropped to the last length frames before processing.
Outputs
| Output Name | Description | Data Type |
|---|---|---|
positive | Positive conditioning with applied video frame encoding and CLIP vision features | CONDITIONING |
negative | Negative conditioning with applied video frame encoding and CLIP vision features | CONDITIONING |
latent | Empty latent tensor with dimensions matching the specified video parameters | LATENT |
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