
"""simple docstring"""


import torch

from diffusers import StableDiffusionPipeline


A_    							=					"""path-to-your-trained-model"""
A_    							=					StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.floataa).to("""cuda""")

A_    							=					"""A photo of sks dog in a bucket"""
A_    							=					pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]

image.save("""dog-bucket.png""")





"""simple docstring"""


def  lowercase						(	lowerCAmelCase__						):
			return " ".join(input_str.split()[::-1]						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()



