image = pipe(prompt, num_inference_steps=50).images[0]
image.save("character.png")  from_single_file  < source > ( pretrained_model_link_or_path **kwargs  )   Parameters   pretrained_model_link_or_path (str or os.PathLike, optional) —
Can be either:
A link to the .ckpt file (for example
"https://huggingface.co/<repo_id>/blob/main/<path_to_file>.ckpt") on the Hub.
A path to a file containing all pipeline weights.
   torch_dtype (str or torch.dty