torch.save(image_embeds, "image_embeds.ipadpt")
```  
Now load the image embeddings by passing them to the `ip_adapter_image_embeds` parameter.  
```py
image_embeds = torch.load("image_embeds.ipadpt")
images = pipeline(
prompt="a polar bear sitting in a chair drinking a milkshake",
ip_adapter_image_embeds=image_embeds,
negative_prompt="deformed, ugly, wrong proportion, low res, bad anatomy, worst quality, low quality",
num_inference_steps=100,
generator=generator,
).images
```