


import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionImageVariationPipeline
from diffusers.utils.testing_utils import load_image, require_torch_gpu, slow, torch_device


a : Optional[int]		=				False
class 	lowerCamelCase_       (				unittest.TestCase				):



					'''simple docstring'''







					pass




@slow
@require_torch_gpu
class 	lowerCamelCase_       (				unittest.TestCase				):



					'''simple docstring'''







					def A      (				self						)   ->			List[Any]:







								'''simple docstring'''

								__lowercase 					=   VersatileDiffusionImageVariationPipeline.from_pretrained('''shi-labs/versatile-diffusion'''						)
								pipe.to(snake_case_						)
								pipe.set_progress_bar_config(disable=snake_case_						)

								__lowercase 					=   load_image(
								    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'''						)
								__lowercase 					=   torch.manual_seed(0						)
								__lowercase 					=   pipe(
								    image=snake_case_ ,       generator=snake_case_ ,       guidance_scale=7.5 ,       num_inference_steps=5_0 ,       output_type='''numpy''' ,       ).images

								__lowercase 					=   image[0, 2_5_3:2_5_6, 2_5_3:2_5_6, -1]

								assert image.shape == (1, 5_1_2, 5_1_2, 3)
								__lowercase 					=   np.array([0.0_4_4_1, 0.0_4_6_9, 0.0_5_0_7, 0.0_5_7_5, 0.0_6_3_2, 0.0_6_5_0, 0.0_8_6_5, 0.0_9_0_9, 0.0_9_4_5]						)

								assert np.abs(image_slice.flatten() - expected_slice						).max() < 1e-2






# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    '''pipelines_utils''',
    '''0.22.0''',
    '''Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.''',
    standard_warn=False,
    stacklevel=3,
)


