SD Turbo Scheduler
Documentation
- Class name:
SDTurboScheduler - Category:
sampling/custom_sampling/schedulers - Output node:
False
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.
Input types
| Parameter | Comfy dtype | 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. |
Output types
| Parameter | Comfy dtype | 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. |