```py
>>> with torch.no_grad():
...     noisy_residual = model(sample=noisy_sample, timestep=2).sample
```  
To generate actual examples though, you'll need a scheduler to guide the denoising process. In the next section, you'll learn how to couple a model with a scheduler.