denoise parameter. This helps align the sampling steps with the specific requirements of different diffusion models.
Inputs
Note: Each model type has a built-in noise level schedule containing 11 sigma values (for 10 steps). When
denoise is 0.0, the node returns an empty sigma tensor. When denoise is between 0.0 and 1.0, the effective number of steps is calculated as round(steps × denoise), and only the corresponding last portion of the sigma schedule is used. If the requested steps value does not match the built-in schedule length, the noise levels are log-linearly interpolated to match the requested step count. The final sigma value is always set to 0.
Outputs
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