Documentation Index
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This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe 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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