ModelSamplingLTXV - ComfyUI Built-in Node Documentation

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

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

ModelSamplingFlux - ComfyUI Built-in Node Documentation

ModelSamplingSD3 - ComfyUI Built-in Node Documentation

​Inputs

​Outputs

Inputs

Outputs