> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-chore-sync-comfy-api-v2-spec.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# ModelSamplingLTXV - ComfyUI Built-in Node Documentation

> The ModelSamplingLTXV node applies advanced sampling parameters to a model based on token count.

The ModelSamplingLTXV node applies advanced sampling parameters to a model based on token count. It calculates a shift value using a linear interpolation between base and maximum shift values, with the calculation depending on the number of tokens in the input latent. The node then creates a specialized model sampling configuration and applies it to the input model.

## Inputs

| Parameter    | Description                                                                                                                               | Data Type | Required | Range                     |
| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------- | --------- | -------- | ------------------------- |
| `model`      | The input model to apply sampling parameters to                                                                                           | MODEL     | Yes      | -                         |
| `max_shift`  | The maximum shift value used in the linear interpolation calculation (default: 2.05)                                                      | FLOAT     | Yes      | 0.0 to 100.0 (step: 0.01) |
| `base_shift` | The base shift value used in the linear interpolation calculation (default: 0.95)                                                         | FLOAT     | Yes      | 0.0 to 100.0 (step: 0.01) |
| `latent`     | Optional latent input used to determine the token count for the shift calculation. If not provided, a default token count of 4096 is used | LATENT    | No       | -                         |

The shift value is calculated by interpolating between `base_shift` and `max_shift` across a token range of 1024 to 4096. When a `latent` is supplied, the token count is computed from the product of its spatial dimensions (such as height and width). If no `latent` is provided, the token count defaults to 4096.

## Outputs

| Output Name | Description                                             | Data Type |
| ----------- | ------------------------------------------------------- | --------- |
| `model`     | The modified model with the applied sampling parameters | MODEL     |

> 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/ModelSamplingLTXV/en.md)

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