generator = torch.Generator(device="cpu").manual_seed(4)
images = pipeline(
prompt="a cute gummy bear waving",
image=image,
mask_image=mask_image,
ip_adapter_image=ip_image,
generator=generator,
num_inference_steps=100,
).images
images[0]
```  
<div class="flex gap-4">
<div>
<img class="rounded-xl" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/ip_adapter_bear_1.png"/>
<figcaption class="mt-2 text-center text-sm text-gray-500">original image</figcaption>