prior and decoder pipelines together under the hood. Use the AutoPipelineForInpainting for this:
<hfoptions id="inpaint">
<hfoption id="Kandinsky 2.1">

	  Copied import torch
import numpy as np
from PIL import Image
from diffusers import AutoPipelineForInpainting
from diffusers.utils import load_image, make_image_grid

pipe = AutoPipelineForInpainting.from_pretrained("kandinsky-community/kandinsky-2-1-inpaint", torch_dtype=torch.float16)
pipe.