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2026-06-07 20:43:31 -07:00

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SamplerCustom

Category: sampling/custom_sampling

Display Name: output

Description

The SamplerCustom node is designed to provide a flexible and customizable sampling mechanism for various applications. It enables users to select and configure different sampling strategies tailored to their specific needs, enhancing the adaptability and efficiency of the sampling process.

Inputs

Parameter Type Default Description
model Model —
add_noise Boolean True
noise_seed Int 0
cfg Float 8.0
positive Conditioning —
negative Conditioning —
sampler Sampler —
sigmas Sigmas —
latent_image Latent —

Outputs

Parameter Data Type Description
output LATENT The 'output' represents the primary result of the sampling process, containing the generated samples.
denoised_output LATENT The 'denoised_output' represents the samples after a denoising process has been applied, potentially enhancing the clarity and quality of the generated samples.

Source: comfy_extras/nodes_custom_sampler.py

Used in 3 template(s)