SamplerER_SDE - ComfyUI Built-in Node Documentation

Complete documentation for the SamplerER_SDE 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

The SamplerER_SDE node provides specialized sampling methods for diffusion models, offering different solver types including ER-SDE, Reverse-time SDE, and ODE approaches. It allows control over the stochastic behavior and computational stages of the sampling process. The node automatically adjusts parameters based on the selected solver type to ensure proper functionality.

Inputs

Parameter	Data Type	Required	Range	Description
solver_type	COMBO	Yes	”ER-SDE" "Reverse-time SDE" "ODE”	The type of solver to use for sampling. Determines the mathematical approach for the diffusion process.
max_stage	INT	Yes	1-3	The maximum number of stages for the sampling process (default: 3). Controls the computational complexity and quality.
eta	FLOAT	Yes	0.0-100.0	Stochastic strength of reverse-time SDE (default: 1.0). When eta=0, it reduces to deterministic ODE. This setting doesn’t apply to ER-SDE solver type.
s_noise	FLOAT	Yes	0.0-100.0	Noise scaling factor for the sampling process (default: 1.0). Controls the amount of noise applied during sampling.

Parameter Constraints:

• When solver_type is set to “ODE” or when using “Reverse-time SDE” with eta=0, both eta and s_noise are automatically set to 0 regardless of user input values.
• The eta parameter only affects “Reverse-time SDE” solver type and has no effect on “ER-SDE” solver type.

Outputs

Output Name	Data Type	Description
sampler	SAMPLER	A configured sampler object that can be used in the sampling pipeline with the specified solver settings.