SamplerCustomAdvanced - ComfyUI Built-in Node Documentation

The SamplerCustomAdvanced node performs advanced latent space sampling using custom noise, guidance, and sampling configurations.

The SamplerCustomAdvanced node performs advanced latent space sampling using custom noise, guidance, and sampling configurations. It processes a latent image through a guided sampling process with customizable noise generation and sigma schedules, producing both the final sampled output and a denoised version when available.

Inputs

Parameter	Description	Data Type	Required	Range
noise	The noise generator that provides the initial noise pattern and seed for the sampling process	NOISE	Yes	-
guider	The guidance model that directs the sampling process toward desired outputs	GUIDER	Yes	-
sampler	The sampling algorithm that defines how the latent space is traversed during generation	SAMPLER	Yes	-
sigmas	The sigma schedule that controls the noise levels throughout the sampling steps	SIGMAS	Yes	-
latent_image	The initial latent representation that serves as the starting point for sampling. Supports optional noise_mask for selective denoising, and optional downscale_ratio_spacial and downscale_ratio_temporal keys for advanced latent handling	LATENT	Yes	-

Outputs

Output Name	Description	Data Type
output	The final sampled latent representation after completing the sampling process. Any downscale_ratio_spacial or downscale_ratio_temporal keys from the input latent are removed from this output	LATENT
denoised_output	A denoised version of the output when the sampling process produces an intermediate clean prediction (x0), otherwise returns the same as the output. When available, this represents the model’s best estimate of the clean latent at each step	LATENT

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