er important component is the scheduler: LCMScheduler. Together with the distilled UNet and the scheduler, LCM enables a fast inference workflow overcoming the slow iterative nature of diffusion models.   Copied from diffusers import DiffusionPipeline, UNet2DConditionModel, LCMScheduler
import torch

unet = UNet2DConditionModel.from_pretrained(
    "latent-consistency/lcm-sdxl",
    torch_dtype=torch.float16,
    variant="fp16",
)
pipe = Diffus