# DPMSolverSDEScheduler

The `DPMSolverSDEScheduler` is inspired by the stochastic sampler from the [Elucidating the Design Space of Diffusion-Based Generative Models](https://huggingface.co/papers/2206.00364) paper, and the scheduler is ported from and created by [Katherine Crowson](https://github.com/crowsonkb/).

## DPMSolverSDEScheduler[[diffusers.DPMSolverSDEScheduler]]

#### diffusers.DPMSolverSDEScheduler[[diffusers.DPMSolverSDEScheduler]]

```python
diffusers.DPMSolverSDEScheduler(*args, **kwargs)
```

[源代码](https://github.com/huggingface/diffusers/blob/v0.43.0/src/diffusers/utils/dummy_torch_and_torchsde_objects.py#L20)

## SchedulerOutput[[diffusers.schedulers.scheduling_utils.SchedulerOutput]]

#### diffusers.schedulers.scheduling_utils.SchedulerOutput[[diffusers.schedulers.scheduling_utils.SchedulerOutput]]

```python
diffusers.schedulers.scheduling_utils.SchedulerOutput(prev_sample: Tensor)
```

[源代码](https://github.com/huggingface/diffusers/blob/v0.43.0/src/diffusers/schedulers/scheduling_utils.py#L66)

**参数：**

prev_sample （对于图像，形状为 `(batch_size, num_channels, height, width)` 的 `torch.Tensor`）：计算得到的前一时间步的样本 `(x_{t-1})`。在去噪循环中，应将 `prev_sample` 用作下一个模型输入。

调度器 `step` 函数输出的基类。