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 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 | Required | Range | Description |
|---|---|---|---|---|
model | MODEL | Yes | - | The model used for sampling, which provides the model sampling object |
steps | INT | Yes | 1 to 10000 | The number of sampling steps to generate sigmas for (default: 20) |
alpha | FLOAT | Yes | 0.0 to 50.0 | Alpha parameter for the beta scheduler, controlling the scheduling curve (default: 0.6) |
beta | FLOAT | Yes | 0.0 to 50.0 | Beta parameter for the beta scheduler, controlling the scheduling curve (default: 0.6) |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
SIGMAS | SIGMAS | A sequence of noise levels (sigmas) used for the sampling process |
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