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1.6 KiB
1.6 KiB
EmptyHunyuanVideo15Latent
Display Name: Empty HunyuanVideo 1.5 Latent
Description
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub
This node creates an empty latent tensor specifically formatted for use with the HunyuanVideo 1.5 model. It generates a blank starting point for video generation by allocating a tensor of zeros with the correct channel count and spatial dimensions for the model's latent space.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
width |
INT | Yes | - | The width of the video frame in pixels. |
height |
INT | Yes | - | The height of the video frame in pixels. |
length |
INT | Yes | - | The number of frames in the video sequence. |
batch_size |
INT | No | - | The number of video samples to generate in a batch (default: 1). |
Note: The spatial dimensions of the generated latent tensor are calculated by dividing the input width and height by 16. The temporal dimension (frames) is calculated as ((length - 1) // 4) + 1.
Outputs
| Output Name | Data Type | Description |
|---|---|---|
samples |
LATENT | An empty latent tensor with dimensions suitable for the HunyuanVideo 1.5 model. The tensor has a shape of [batch_size, 32, frames, height//16, width//16]. |
Source: comfy_extras/nodes_hunyuan.py
Used in 1 template(s)