The Wan22ImageToVideoLatent node creates video latent representations from images. It generates a blank video latent space with specified dimensions and can optionally encode a starting image sequence into the beginning frames. When a start image is provided, it encodes the image into the latent space and creates a corresponding noise mask for the inpainted regions.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `vae` | The VAE model used for encoding images into latent space | VAE | Yes | - |
| `width` | The width of the output video in pixels (default: 1280, step: 32) | INT | Yes | 32 to MAX_RESOLUTION |
| `height` | The height of the output video in pixels (default: 704, step: 32) | INT | Yes | 32 to MAX_RESOLUTION |
| `length` | The number of frames in the video sequence (default: 49, step: 4) | INT | Yes | 1 to MAX_RESOLUTION |
| `batch_size` | The number of batches to generate (default: 1) | INT | Yes | 1 to 4096 |
| `start_image` | Optional starting image sequence to encode into the video latent | IMAGE | No | - |

**Note:** When `start_image` is provided, the node encodes the image sequence into the beginning frames of the latent space and generates a corresponding noise mask. The width and height parameters must be divisible by 16 for proper latent space dimensions. The `length` parameter determines the number of frames in the video latent; the latent space's temporal dimension is calculated as `((length - 1) // 4) + 1`.

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `samples` | The generated video latent representation | LATENT |
| `noise_mask` | The noise mask indicating which regions should be denoised during generation | 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/Wan22ImageToVideoLatent/en.md)

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