



def      lowerCAmelCase_					(  _lowercase    :       str)							->	list:







			"""simple docstring"""
			if n_term == "":
						return []
			a__       :						list							=  []
			for temp in range(int(_lowercase)):
						series.append(F'''1/{temp + 1}''' if series else """1""")
			return series


if __name__ == "__main__":
		_lowercase		:				Optional[int]      		=input("Enter the last number (nth term) of the Harmonic Series")
		print("Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n")
		print(harmonic_series(nth_term))









import torch

from diffusers import StableDiffusionPipeline


_lowercase		:				Optional[int]      		="path-to-your-trained-model"
_lowercase		:				Union[str, Any]      		=StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.floataa).to("cuda")

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

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




