ngface.co/datasets/diffusers/images/resolve/main/benz.jpg"

>>> response = requests.get(url)
>>> image = Image.open(BytesIO(response.content)).convert("RGB")

>>> pipe = VersatileDiffusionPipeline.from_pretrained(
...     "shi-labs/versatile-diffusion", torch_dtype=torch.float16
... )
>>> pipe = pipe.to("cuda")

>>> generator = torch.Generator(device="cuda").manual_seed(0)
>>> image = pipe.image_variation(image, generator=generator).images[0]
>