SDTurboScheduler is designed to generate a sequence of sigma values for image sampling, adjusting the sequence based on the denoise level and the number of steps specified. It leverages a specific model’s sampling capabilities to produce these sigma values, which are crucial for controlling the denoising process during image generation.Documentation Index
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Inputs
| Parameter | Data Type | Description |
|---|---|---|
model | MODEL | The model parameter specifies the generative model to be used for sigma value generation. It is crucial for determining the specific sampling behavior and capabilities of the scheduler. |
steps | INT | The steps parameter determines the length of the sigma sequence to be generated, directly influencing the granularity of the denoising process. |
denoise | FLOAT | The denoise parameter adjusts the starting point of the sigma sequence, allowing for finer control over the denoising level applied during image generation. |
Outputs
| Parameter | Data Type | Description |
|---|---|---|
sigmas | SIGMAS | A sequence of sigma values generated based on the specified model, steps, and denoise level. These values are essential for controlling the denoising process in image generation. |