ipForConditionalGeneration, BlipProcessor
>>> from diffusers import DDIMScheduler, DDIMInverseScheduler, StableDiffusionPix2PixZeroPipeline

>>> import requests
>>> from PIL import Image

>>> captioner_id = "Salesforce/blip-image-captioning-base"
>>> processor = BlipProcessor.from_pretrained(captioner_id)
>>> model = BlipForConditionalGeneration.from_pretrained(
...     captioner_id, torch_dtype=torch.float16, low_cpu_mem_usage=True
... )

>>> 