

'''simple docstring'''





import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


UpperCamelCase_							=					HUGGINGFACE_HUB_CACHE


UpperCamelCase_							=					"""config.json"""
UpperCamelCase_							=					"""diffusion_pytorch_model.bin"""
UpperCamelCase_							=					"""diffusion_flax_model.msgpack"""
UpperCamelCase_							=					"""model.onnx"""
UpperCamelCase_							=					"""diffusion_pytorch_model.safetensors"""
UpperCamelCase_							=					"""weights.pb"""
UpperCamelCase_							=					"""https://huggingface.co"""
UpperCamelCase_							=					default_cache_path
UpperCamelCase_							=					"""diffusers_modules"""
UpperCamelCase_							=					os.getenv("""HF_MODULES_CACHE""", os.path.join(hf_cache_home, """modules"""))
UpperCamelCase_							=					["""fp16""", """non-ema"""]
UpperCamelCase_							=					""".self_attn"""








'''simple docstring'''





from datetime import datetime

import matplotlib.pyplot as plt
import torch






def 							_lowerCAmelCase (      __magic_name__	:    Dict	)							->     Dict:
						for param in module.parameters():
												lowercase   :       List[str]								=False






def 							_lowerCAmelCase (      )							->     List[str]:
						lowercase   :       Dict								='''cuda''' if torch.cuda.is_available() else '''cpu'''
						if torch.backends.mps.is_available() and torch.backends.mps.is_built():
												lowercase   :       Optional[int]								='''mps'''
						if device == "mps":
												print(
												    '''WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'''
												    ''' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'''
												    ''' with generations.'''	)
						return device






def 							_lowerCAmelCase (      __magic_name__	:    Union[str, Any]	)							->     str:
						lowercase   :       Optional[int]								=plt.imshow(__magic_name__	)
						fig.axes.get_xaxis().set_visible(__magic_name__	)
						fig.axes.get_yaxis().set_visible(__magic_name__	)
						plt.show()







def 							_lowerCAmelCase (      )							->     List[Any]:
						lowercase   :       Any								=datetime.now()
						lowercase   :       Dict								=current_time.strftime('''%H:%M:%S'''	)
						return timestamp





