vel, by their noise sampling strategy; the type of network and scaling; and finally the training strategy or how the loss is weighed.
The different schedulers, depending on the type of ODE solver, fall into the above taxonomy and provide a good abstraction for the design of the main schedulers implemented in Diffusers. The schedulers in this class are given below:

class diffusers.schedulers.KarrasDiffusionSchedulers

<
source
>
(
value
names =