_weights()
>>> pipe = pipe.to("cuda")

>>> generator = torch.Generator(device="cuda").manual_seed(0)
>>> image = pipe("an astronaut riding on a horse on mars", generator=generator).images[0]
>>> image.save("./astronaut.png")  VersatileDiffusionImageVariationPipeline  class diffusers.VersatileDiffusionImageVariationPipeline  < source > ( image_feature_extractor: CLIPImageProcessor image_encoder: CLIPVisionModelWithProjection image_unet: UNet2DCo