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 |
| `base_shift` | The base shift value used in the linear interpolation calculation (default: 0.95) | FLOAT | Yes | 0.0 to 100.0 |
| `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 | - |

## Outputs

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

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