 this will substitute the default PNDM scheduler for K-LMS   lms = LMSDiscreteScheduler(     beta_start=0.00085,      beta_end=0.012,      beta_schedule="scaled_linear" )  guidance_scale=9 seed=7777 steps=100  model_id = "Norod78/sd-simpsons-model" pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=lms, torch_dtype=torch.float16) pipe.to("cuda")  prompt = "a photo of an astronaut riding a horse on mars" image = pipe(prompt).images[0]        image.save("astronaut_rides_horse.png") ```  