The LTXVLatentUpsampler node increases the spatial resolution of a video latent representation by a factor of two. It uses a specialized upscale model to process the latent data, which is first un-normalized and then re-normalized using the provided VAE's channel statistics. This node is designed for video workflows within the latent space.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `samples` | The input latent representation of the video to be upscaled. | LATENT | Yes |  |
| `upscale_model` | The loaded model used to perform the 2x upscaling on the latent data. | LATENT_UPSCALE_MODEL | Yes |  |
| `vae` | The VAE model used to un-normalize the input latents before upscaling and to normalize the output latents afterwards. | VAE | Yes |  |

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `LATENT` | The upscaled latent representation, with spatial dimensions doubled compared to the input. The output latent has the same batch size, number of channels, and temporal length as the input. The `noise_mask` from the input, if present, is removed from the output. | 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/LTXVLatentUpsampler/en.md)

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