

def       A_				(   ):
							SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	0
							for i in range(1    ,     10_01   ):
														total += i**i
							return str(_UpperCAmelCase   )[-10:]


if __name__ == "__main__":
						print(solution())









import torch

from diffusers import StableDiffusionPipeline


lowerCAmelCase							:  Any            =						"""path-to-your-trained-model"""
lowerCAmelCase							:  int            =						StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.floataa).to("""cuda""")

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

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






