





'''simple docstring'''

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


__lowerCAmelCase							:	Optional[Any]			=False






class    UpperCAmelCase	(       unittest.TestCase				):
 pass






@slow
@require_torch_gpu
class    UpperCAmelCase	(       unittest.TestCase				):
 def      UpperCAmelCase_							(				self      :int							)->							Optional[int]:
     A__				=			VersatileDiffusionImageVariationPipeline.from_pretrained("shi-labs/versatile-diffusion"							)
     pipe.to(lowercase_							)
     pipe.set_progress_bar_config(disable=lowercase_							)

     A__				=			load_image(
         "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg"							)
     A__				=			torch.manual_seed(0							)
     A__				=			pipe(
         image=lowercase_						,       generator=lowercase_						,       guidance_scale=7.5						,       num_inference_steps=50						,       output_type="numpy"						,       ).images

     A__				=			image[0, 2_53:2_56, 2_53:2_56, -1]

     assert image.shape == (1, 5_12, 5_12, 3)
     A__				=			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










'''simple docstring'''

import warnings


warnings.warn(
    "memory_utils has been reorganized to utils.memory. Import `find_executable_batchsize` from the main `__init__`: "
    "`from accelerate import find_executable_batch_size` to avoid this warning.",
    FutureWarning,
)



