> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# SamplerLCM - ComfyUI Built-in Node Documentation

> Complete documentation for the SamplerLCM node in ComfyUI. Learn its inputs, outputs, parameters and usage.

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/en.md)

The SamplerLCM node provides an LCM (Latent Consistency Model) sampler with tunable per-step noise parameters. It allows you to control the noise applied at each sampling step, enabling fine-grained adjustment of the sampling process.

## Inputs

| Parameter        | Data Type | Required | Range                    | Description                                                                                                          |
| ---------------- | --------- | -------- | ------------------------ | -------------------------------------------------------------------------------------------------------------------- |
| `s_noise`        | FLOAT     | Yes      | 0.0 to 64.0 (step: 0.01) | Per-step noise multiplier at the first step. A value of 1.0 matches the model's training noise scale. (default: 1.0) |
| `s_noise_end`    | FLOAT     | Yes      | 0.0 to 64.0 (step: 0.01) | Per-step noise multiplier at the last step. Set equal to `s_noise` for a constant noise schedule. (default: 1.0)     |
| `noise_clip_std` | FLOAT     | Yes      | 0.0 to 10.0 (step: 0.01) | Clamps the per-step noise to within +/- N standard deviations. A value of 0 disables clamping. (default: 0.0)        |

## Outputs

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

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