>>> latents = torch.randn(
...     (batch_size, unet.config.in_channels, height // 8, width // 8),
...     generator=generator,
...     device=torch_device,
... )  Denoise the image Start by scaling the input with the initial noise distribution, sigma, the noise scale value, which is required for improved schedulers like UniPCMultistepScheduler:   Copied >>> latents = latents * scheduler.init_noise_sigma The last step is to create the denoising