ModelSamplingFlux - ComfyUI Built-in Node Documentation

The ModelSamplingFlux node applies Flux model sampling to a given model by calculating a shift parameter based on image dimensions. It creates a specialized sampling configuration that adjusts the model’s behavior according to the specified width, height, and shift parameters, then returns the modified model with the new sampling settings applied.

Inputs

Parameter	Description	Data Type	Required	Range
`model`	The model to apply Flux sampling to	MODEL	Yes	-
`max_shift`	Maximum shift value for sampling calculation (default: 1.15)	FLOAT	Yes	0.0 - 100.0
`base_shift`	Base shift value for sampling calculation (default: 0.5)	FLOAT	Yes	0.0 - 100.0
`width`	Width of the target image in pixels (default: 1024)	INT	Yes	16 - MAX_RESOLUTION
`height`	Height of the target image in pixels (default: 1024)	INT	Yes	16 - MAX_RESOLUTION

Outputs

Output Name	Description	Data Type
`model`	The modified model with Flux sampling configuration applied	MODEL

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

Source fingerprint (SHA-256): 35733ab0cd032884ceada13715cf51e626586844e8e575471a5ba7cf8a1e5e49

ModelSamplingDiscrete - ComfyUI Built-in Node Documentation

ModelSamplingLTXV - ComfyUI Built-in Node Documentation

⌘I

​Inputs

​Outputs

Inputs

Outputs