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DPMSolverSDEScheduler

The DPMSolverSDEScheduler is inspired by the stochastic sampler from the Elucidating the Design Space of Diffusion-Based Generative Models paper, and the scheduler is ported from and created by Katherine Crowson.

DPMSolverSDEScheduler

class diffusers.DPMSolverSDEScheduler

< source >

( *args**kwargs )

SchedulerOutput

class diffusers.schedulers.scheduling_utils.SchedulerOutput

< source >

( prev_sample: Tensor )

Parameters

prev_sample (torch.Tensor of shape (batch_size, num_channels, height, width) for images) — Computed sample (x_{t-1}) of previous timestep. prev_sample should be used as next model input in the denoising loop.

Base class for the output of a scheduler’s step function.

Update on GitHub

←DPMSolverMultistepScheduler DPMSolverSinglestepScheduler→