> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# ModelSamplingLTXV - ComfyUI Built-in Node Documentation

> Complete documentation for the ModelSamplingLTXV node in ComfyUI. Learn its inputs, outputs, parameters and usage.

> 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)

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    | Data Type | Required | Range        | Description                                                               |
| ------------ | --------- | -------- | ------------ | ------------------------------------------------------------------------- |
| `model`      | MODEL     | Yes      | -            | The input model to apply sampling parameters to                           |
| `max_shift`  | FLOAT     | No       | 0.0 to 100.0 | The maximum shift value used in calculation (default: 2.05)               |
| `base_shift` | FLOAT     | No       | 0.0 to 100.0 | The base shift value used in calculation (default: 0.95)                  |
| `latent`     | LATENT    | No       | -            | Optional latent input used to determine token count for shift calculation |

## Outputs

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