This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe BetaSamplingScheduler node generates a sequence of noise levels (sigmas) for the sampling process using a beta scheduling algorithm. It takes a model and configuration parameters to create a customized noise schedule that controls the denoising process during image generation. This scheduler allows fine-tuning of the noise reduction trajectory through alpha and beta parameters.
Inputs
| Parameter | Data Type | Input Type | Default | Range | Description |
|---|---|---|---|---|---|
model | MODEL | Required | - | - | The model used for sampling, which provides the model sampling object |
steps | INT | Required | 20 | 1-10000 | The number of sampling steps to generate sigmas for |
alpha | FLOAT | Required | 0.6 | 0.0-50.0 | Alpha parameter for the beta scheduler, controlling the scheduling curve |
beta | FLOAT | Required | 0.6 | 0.0-50.0 | Beta parameter for the beta scheduler, controlling the scheduling curve |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
SIGMAS | SIGMAS | A sequence of noise levels (sigmas) used for the sampling process |