t = "stabilityai/stable-diffusion-2-base"
>>> scheduler = DDIMScheduler.from_pretrained(model_ckpt, subfolder="scheduler")
>>> pipe = StableDiffusionPanoramaPipeline.from_pretrained(
...     model_ckpt, scheduler=scheduler, torch_dtype=torch.float16
... )

>>> pipe = pipe.to("cuda")

>>> prompt = "a photo of the dolomites"
>>> image = pipe(prompt).images[0]  encode_prompt  < source > ( prompt device num_images_per_prompt do_classifier_free_guid