SamplerLCM - ComfyUI Built-in Node Documentation

The SamplerLCM node provides an LCM (Latent Consistency Model) sampler with tunable per-step noise parameters.

The SamplerLCM node provides an LCM (Latent Consistency Model) sampler with tunable per-step noise parameters. It lets you control the noise applied at each step of the sampling process; s_noise is a multiplier on the model’s training noise scale.

Inputs

Parameter	Description	Data Type	Required	Range
s_noise	Per-step noise multiplier at the first step (1.0 = match training). (default: 1.0)	FLOAT	Yes	0.0 to 64.0 (step: 0.01)
s_noise_end	Per-step noise multiplier at the last step. Set equal to s_noise for a constant noise schedule. (default: 1.0)	FLOAT	Yes	0.0 to 64.0 (step: 0.01)
noise_clip_std	Clamp per-step noise to +/- N*std. 0 disables. (default: 0.0)	FLOAT	Yes	0.0 to 10.0 (step: 0.01)

Outputs

Output Name	Description	Data Type
SAMPLER	The configured LCM sampler object, ready to be used in a sampling workflow.	SAMPLER

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