SamplerDPMAdaptative - ComfyUI Built-in Node Documentation

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

Outputs

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

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SamplerDpmpp2mSde - ComfyUI Built-in Node Documentation

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Inputs

Outputs