Exponential Scheduler
Documentation
- Class name:
ExponentialScheduler - Category:
sampling/custom_sampling/schedulers - Output node:
False
The ExponentialScheduler node is designed to generate a sequence of sigma values following an exponential schedule for diffusion sampling processes. It provides a customizable approach to control the noise levels applied at each step of the diffusion process, allowing for fine-tuning of the sampling behavior.
Input types
| Parameter | Comfy dtype | Description |
|---|---|---|
steps | INT | Specifies the number of steps in the diffusion process. It influences the length of the generated sigma sequence and thus the granularity of the noise application. |
sigma_max | FLOAT | Defines the maximum sigma value, setting the upper limit of noise intensity in the diffusion process. It plays a crucial role in determining the range of noise levels applied. |
sigma_min | FLOAT | Sets the minimum sigma value, establishing the lower boundary of noise intensity. This parameter helps in fine-tuning the starting point of the noise application. |
Output types
| Parameter | Comfy dtype | Description |
|---|---|---|
sigmas | SIGMAS | A sequence of sigma values generated according to the exponential schedule. These values are used to control the noise levels at each step of the diffusion process. |