Move to slow tests to nightly (huggingface#5093)

* move slow tests to nightly

* move slow tests to nightly

Author: DN6

tests/pipelines/audioldm2/test_audioldm2.py

@@ -45,7 +45,7 @@
     PNDMScheduler,
 )
 from diffusers.utils import is_xformers_available
-from diffusers.utils.testing_utils import enable_full_determinism, slow, torch_device
+from diffusers.utils.testing_utils import enable_full_determinism, nightly, torch_device
 
 from ..pipeline_params import TEXT_TO_AUDIO_BATCH_PARAMS, TEXT_TO_AUDIO_PARAMS
 from ..test_pipelines_common import PipelineTesterMixin
@@ -492,7 +492,7 @@ def test_to_dtype(self):
         self.assertTrue(all(dtype == torch.float16 for dtype in model_dtypes.values()))
 
 
-@slow
+@nightly
 class AudioLDM2PipelineSlowTests(unittest.TestCase):
     def tearDown(self):
         super().tearDown()

tests/pipelines/kandinsky/test_kandinsky_inpaint.py

@@ -29,8 +29,8 @@
     floats_tensor,
     load_image,
     load_numpy,
+    nightly,
     require_torch_gpu,
-    slow,
     torch_device,
 )
 
@@ -291,7 +291,7 @@ def test_offloads(self):
         assert np.abs(image_slices[0] - image_slices[2]).max() < 1e-3
 
 
-@slow
+@nightly
 @require_torch_gpu
 class KandinskyInpaintPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/kandinsky_v22/test_kandinsky_controlnet.py

@@ -32,8 +32,8 @@
     floats_tensor,
     load_image,
     load_numpy,
+    nightly,
     require_torch_gpu,
-    slow,
     torch_device,
 )
 
@@ -219,7 +219,7 @@ def test_kandinsky_controlnet(self):
         ), f" expected_slice {expected_slice}, but got {image_from_tuple_slice.flatten()}"
 
 
-@slow
+@nightly
 @require_torch_gpu
 class KandinskyV22ControlnetPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/latent_diffusion/test_latent_diffusion.py

@@ -26,7 +26,6 @@
     load_numpy,
     nightly,
     require_torch_gpu,
-    slow,
     torch_device,
 )
 
@@ -136,7 +135,7 @@ def test_inference_text2img(self):
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-3
 
 
-@slow
+@nightly
 @require_torch_gpu
 class LDMTextToImagePipelineSlowTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/latent_diffusion/test_latent_diffusion_superresolution.py

@@ -25,8 +25,8 @@
     enable_full_determinism,
     floats_tensor,
     load_image,
+    nightly,
     require_torch,
-    slow,
     torch_device,
 )
 
@@ -114,7 +114,7 @@ def test_inference_superresolution_fp16(self):
         assert image.shape == (1, 64, 64, 3)
 
 
-@slow
+@nightly
 @require_torch
 class LDMSuperResolutionPipelineIntegrationTests(unittest.TestCase):
     def test_inference_superresolution(self):

tests/pipelines/shap_e/test_shap_e.py

@@ -21,7 +21,7 @@
 
 from diffusers import HeunDiscreteScheduler, PriorTransformer, ShapEPipeline
 from diffusers.pipelines.shap_e import ShapERenderer
-from diffusers.utils.testing_utils import load_numpy, require_torch_gpu, slow, torch_device
+from diffusers.utils.testing_utils import load_numpy, nightly, require_torch_gpu, torch_device
 
 from ..test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
 
@@ -230,7 +230,7 @@ def test_num_images_per_prompt(self):
         assert images.shape[0] == batch_size * num_images_per_prompt
 
 
-@slow
+@nightly
 @require_torch_gpu
 class ShapEPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/shap_e/test_shap_e_img2img.py

@@ -22,7 +22,14 @@
 
 from diffusers import HeunDiscreteScheduler, PriorTransformer, ShapEImg2ImgPipeline
 from diffusers.pipelines.shap_e import ShapERenderer
-from diffusers.utils.testing_utils import floats_tensor, load_image, load_numpy, require_torch_gpu, slow, torch_device
+from diffusers.utils.testing_utils import (
+    floats_tensor,
+    load_image,
+    load_numpy,
+    nightly,
+    require_torch_gpu,
+    torch_device,
+)
 
 from ..test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
 
@@ -243,7 +250,7 @@ def test_num_images_per_prompt(self):
         assert images.shape[0] == batch_size * num_images_per_prompt
 
 
-@slow
+@nightly
 @require_torch_gpu
 class ShapEImg2ImgPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/stable_diffusion/test_cycle_diffusion.py

@@ -27,9 +27,9 @@
     floats_tensor,
     load_image,
     load_numpy,
+    nightly,
     require_torch_gpu,
     skip_mps,
-    slow,
     torch_device,
 )
 
@@ -194,7 +194,7 @@ def test_attention_slicing_forward_pass(self):
         return super().test_attention_slicing_forward_pass()
 
 
-@slow
+@nightly
 @require_torch_gpu
 class CycleDiffusionPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/stable_diffusion/test_stable_diffusion_ldm3d.py

@@ -28,7 +28,7 @@
     StableDiffusionLDM3DPipeline,
     UNet2DConditionModel,
 )
-from diffusers.utils.testing_utils import enable_full_determinism, nightly, require_torch_gpu, slow, torch_device
+from diffusers.utils.testing_utils import enable_full_determinism, nightly, require_torch_gpu, torch_device
 
 from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS
 
@@ -203,7 +203,7 @@ def test_stable_diffusion_negative_prompt(self):
         assert np.abs(depth_slice.flatten() - expected_slice_depth).max() < 1e-2
 
 
-@slow
+@nightly
 @require_torch_gpu
 class StableDiffusionLDM3DPipelineSlowTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/stable_diffusion_2/test_stable_diffusion_flax.py

@@ -18,7 +18,7 @@
 
 from diffusers import FlaxDPMSolverMultistepScheduler, FlaxStableDiffusionPipeline
 from diffusers.utils import is_flax_available
-from diffusers.utils.testing_utils import nightly, require_flax, slow
+from diffusers.utils.testing_utils import nightly, require_flax
 
 
 if is_flax_available():
@@ -28,7 +28,7 @@
     from flax.training.common_utils import shard
 
 
-@slow
+@nightly
 @require_flax
 class FlaxStableDiffusion2PipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):