


from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available







@dataclass
class   lowerCAmelCase__ (       a):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE						    =				42


if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
    from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
    from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline




lowerCAmelCase__   	=				'\n# Transformers installation\n! pip install transformers datasets evaluate\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

lowerCAmelCase__   	=				[{'type': 'code', 'content': INSTALL_CONTENT}]
lowerCAmelCase__   	=				{
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}
