"""simple docstring"""






import gc
import unittest

from diffusers import FlaxControlNetModel, FlaxStableDiffusionControlNetPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
      import jax
      import jax.numpy as jnp
      from flax.jax_utils import replicate
      from flax.training.common_utils import shard
@slow
@require_flax
class        snake_case (				unittest.TestCase       ):




     """simple docstring"""

     def 	__lowerCAmelCase		(       self     :			Any    ):
         # clean up the VRAM after each test
         super().tearDown()
         gc.collect()







     def 	__lowerCAmelCase		(       self     :			List[str]    ):
         UpperCAmelCase__   ,			UpperCAmelCase__    =							FlaxControlNetModel.from_pretrained(
             'lllyasviel/sd-controlnet-canny'					,from_pt=lowerCamelCase__					,dtype=jnp.bfloataa    )
         UpperCAmelCase__   ,			UpperCAmelCase__    =							FlaxStableDiffusionControlNetPipeline.from_pretrained(
             'runwayml/stable-diffusion-v1-5'					,controlnet=lowerCamelCase__					,from_pt=lowerCamelCase__					,dtype=jnp.bfloataa    )
         UpperCAmelCase__    =							controlnet_params

         UpperCAmelCase__    =							'bird'
         UpperCAmelCase__    =							jax.device_count()
         UpperCAmelCase__    =							pipe.prepare_text_inputs([prompts] * num_samples    )

         UpperCAmelCase__    =							load_image(
             'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/bird_canny.png'    )
         UpperCAmelCase__    =							pipe.prepare_image_inputs([canny_image] * num_samples    )

         UpperCAmelCase__    =							jax.random.PRNGKey(0    )
         UpperCAmelCase__    =							jax.random.split(lowerCamelCase__					,jax.device_count()    )

         UpperCAmelCase__    =							replicate(lowerCamelCase__    )
         UpperCAmelCase__    =							shard(lowerCamelCase__    )
         UpperCAmelCase__    =							shard(lowerCamelCase__    )

         UpperCAmelCase__    =							pipe(
             prompt_ids=lowerCamelCase__					,image=lowerCamelCase__					,params=lowerCamelCase__					,prng_seed=lowerCamelCase__					,num_inference_steps=50					,jit=lowerCamelCase__					,).images
         assert images.shape == (jax.device_count(), 1, 768, 512, 3)

         UpperCAmelCase__    =							images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]    )
         UpperCAmelCase__    =							images[0, 253:256, 253:256, -1]

         UpperCAmelCase__    =							jnp.asarray(jax.device_get(image_slice.flatten()    )    )
         UpperCAmelCase__    =							jnp.array(
             [0.1_6_7_9_6_9, 0.1_1_6_6_9_9, 0.0_8_1_5_4_3, 0.1_5_4_2_9_7, 0.1_3_2_8_1_2, 0.1_0_8_8_8_7, 0.1_6_9_9_2_2, 0.1_6_9_9_2_2, 0.2_0_5_0_7_8]    )
         print(f'''output_slice: {output_slice}'''    )
         assert jnp.abs(output_slice - expected_slice    ).max() < 1e-2







     def 	__lowerCAmelCase		(       self     :			Any    ):
         UpperCAmelCase__   ,			UpperCAmelCase__    =							FlaxControlNetModel.from_pretrained(
             'lllyasviel/sd-controlnet-openpose'					,from_pt=lowerCamelCase__					,dtype=jnp.bfloataa    )
         UpperCAmelCase__   ,			UpperCAmelCase__    =							FlaxStableDiffusionControlNetPipeline.from_pretrained(
             'runwayml/stable-diffusion-v1-5'					,controlnet=lowerCamelCase__					,from_pt=lowerCamelCase__					,dtype=jnp.bfloataa    )
         UpperCAmelCase__    =							controlnet_params

         UpperCAmelCase__    =							'Chef in the kitchen'
         UpperCAmelCase__    =							jax.device_count()
         UpperCAmelCase__    =							pipe.prepare_text_inputs([prompts] * num_samples    )

         UpperCAmelCase__    =							load_image(
             'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/pose.png'    )
         UpperCAmelCase__    =							pipe.prepare_image_inputs([pose_image] * num_samples    )

         UpperCAmelCase__    =							jax.random.PRNGKey(0    )
         UpperCAmelCase__    =							jax.random.split(lowerCamelCase__					,jax.device_count()    )

         UpperCAmelCase__    =							replicate(lowerCamelCase__    )
         UpperCAmelCase__    =							shard(lowerCamelCase__    )
         UpperCAmelCase__    =							shard(lowerCamelCase__    )

         UpperCAmelCase__    =							pipe(
             prompt_ids=lowerCamelCase__					,image=lowerCamelCase__					,params=lowerCamelCase__					,prng_seed=lowerCamelCase__					,num_inference_steps=50					,jit=lowerCamelCase__					,).images
         assert images.shape == (jax.device_count(), 1, 768, 512, 3)

         UpperCAmelCase__    =							images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]    )
         UpperCAmelCase__    =							images[0, 253:256, 253:256, -1]

         UpperCAmelCase__    =							jnp.asarray(jax.device_get(image_slice.flatten()    )    )
         UpperCAmelCase__    =							jnp.array(
             [[0.2_7_1_4_8_4, 0.2_6_1_7_1_9, 0.2_7_5_3_9_1, 0.2_7_7_3_4_4, 0.2_7_9_2_9_7, 0.2_9_1_0_1_6, 0.2_9_4_9_2_2, 0.3_0_2_7_3_4, 0.3_0_2_7_3_4]]    )
         print(f'''output_slice: {output_slice}'''    )
         assert jnp.abs(output_slice - expected_slice    ).max() < 1e-2




"""simple docstring"""






import os
import sys
from contextlib import contextmanager


# Windows only
if os.name == "nt":
						import ctypes
						import msvcrt  # noqa
						class        snake_case (				ctypes.Structure       ):




											"""simple docstring"""

											snake_case__       					=				[("size", ctypes.c_int), ("visible", ctypes.c_byte)]



def 						a_		(      ):
				if os.name == "nt":
								UpperCAmelCase__    =							CursorInfo()
								UpperCAmelCase__    =							ctypes.windll.kernelaa.GetStdHandle(-1_1 )
								ctypes.windll.kernelaa.GetConsoleCursorInfo(lowerCamelCase      ,    ctypes.byref(lowerCamelCase ) )
								UpperCAmelCase__    =							False
								ctypes.windll.kernelaa.SetConsoleCursorInfo(lowerCamelCase      ,    ctypes.byref(lowerCamelCase ) )
				elif os.name == "posix":
								sys.stdout.write('\033[?25l' )
								sys.stdout.flush()



def 						a_		(      ):
				if os.name == "nt":
								UpperCAmelCase__    =							CursorInfo()
								UpperCAmelCase__    =							ctypes.windll.kernelaa.GetStdHandle(-1_1 )
								ctypes.windll.kernelaa.GetConsoleCursorInfo(lowerCamelCase      ,    ctypes.byref(lowerCamelCase ) )
								UpperCAmelCase__    =							True
								ctypes.windll.kernelaa.SetConsoleCursorInfo(lowerCamelCase      ,    ctypes.byref(lowerCamelCase ) )
				elif os.name == "posix":
								sys.stdout.write('\033[?25h' )
								sys.stdout.flush()







@contextmanager
def 						a_		(      ):
				try:
								hide_cursor()
								yield
				finally:
								show_cursor()



