This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe 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 |