SamplerDPMAdaptative - ComfyUI Built-in Node Documentation

The SamplerDPMAdaptative node implements an adaptive DPM (Diffusion Probabilistic Model) sampler that automatically adjusts step sizes during the sampling process.

The SamplerDPMAdaptative node implements an adaptive DPM (Diffusion Probabilistic Model) sampler that automatically adjusts step sizes during the sampling process. It uses tolerance-based error control to determine optimal step sizes, balancing computational efficiency with sampling accuracy. This adaptive approach helps maintain quality while potentially reducing the number of steps needed.

Inputs

Parameter	Description	Data Type	Required	Range
order	The order of the sampler method (default: 3)	INT	Yes	2-3
rtol	Relative tolerance for error control (default: 0.05)	FLOAT	Yes	0.0-100.0
atol	Absolute tolerance for error control (default: 0.0078)	FLOAT	Yes	0.0-100.0
h_init	Initial step size (default: 0.05)	FLOAT	Yes	0.0-100.0
pcoeff	Proportional coefficient for step size control (default: 0.0)	FLOAT	Yes	0.0-100.0
icoeff	Integral coefficient for step size control (default: 1.0)	FLOAT	Yes	0.0-100.0
dcoeff	Derivative coefficient for step size control (default: 0.0)	FLOAT	Yes	0.0-100.0
accept_safety	Safety factor for step acceptance (default: 0.81)	FLOAT	Yes	0.0-100.0
eta	Stochasticity parameter (default: 0.0)	FLOAT	Yes	0.0-100.0
s_noise	Noise scaling factor (default: 1.0)	FLOAT	Yes	0.0-100.0

All inputs are advanced parameters used to fine-tune the adaptive sampling behavior. All numeric inputs allow decimal values and accept a minimum of 0.0 and a maximum of 100.0, except order, which is limited to the integer values 2 or 3.

Outputs

Output Name	Description	Data Type
sampler	Returns a configured DPM adaptive sampler instance	SAMPLER

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