r", subfolder="models", weight_name="ip-adapter_sd15.bin")
generator = torch.Generator(device="cpu").manual_seed(33)
images = pipeline(
    prompt='best quality, high quality', 
    image = image,
    ip_adapter_image=ip_image,
    num_inference_steps=50,
    generator=generator,
    strength=0.6,
).images
images[0]
</hfoption>
<hfoption id="inpaint">

	  Copied from diffusers import AutoPipelineForInpaint
import torch
from diffusers.utils impo