Move more slow tests to nightly (#5220)

* move to nightly

* fix mistake

tests/pipelines/audio_diffusion/test_audio_diffusion.py

@@ -29,7 +29,7 @@ from diffusers import (
     UNet2DConditionModel,
     UNet2DModel,
 )
-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
 
 
 enable_full_determinism()
@@ -95,7 +95,7 @@ class PipelineFastTests(unittest.TestCase):
         )
         return vqvae, unet
 
-    @slow
+    @nightly
     def test_audio_diffusion(self):
         device = "cpu"  # ensure determinism for the device-dependent torch.Generator
         mel = Mel(

tests/pipelines/audioldm/test_audioldm.py

@@ -37,7 +37,7 @@ from diffusers import (
     UNet2DConditionModel,
 )
 from diffusers.utils import is_xformers_available
-from diffusers.utils.testing_utils import enable_full_determinism, nightly, 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
@@ -369,7 +369,7 @@ class AudioLDMPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
         self._test_xformers_attention_forwardGenerator_pass(test_mean_pixel_difference=False)
 
 
-@slow
+@nightly
 class AudioLDMPipelineSlowTests(unittest.TestCase):
     def tearDown(self):
         super().tearDown()

tests/pipelines/kandinsky_v22/test_kandinsky_controlnet_img2img.py

@@ -33,8 +33,8 @@ from diffusers.utils.testing_utils import (
     floats_tensor,
     load_image,
     load_numpy,
+    nightly,
     require_torch_gpu,
-    slow,
     torch_device,
 )
 
@@ -232,7 +232,7 @@ class KandinskyV22ControlnetImg2ImgPipelineFastTests(PipelineTesterMixin, unitte
         super().test_float16_inference(expected_max_diff=2e-1)
 
 
-@slow
+@nightly
 @require_torch_gpu
 class KandinskyV22ControlnetImg2ImgPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/latent_diffusion/test_latent_diffusion_uncond.py

@@ -20,7 +20,7 @@ import torch
 from transformers import CLIPTextConfig, CLIPTextModel
 
 from diffusers import DDIMScheduler, LDMPipeline, UNet2DModel, VQModel
-from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
+from diffusers.utils.testing_utils import enable_full_determinism, nightly, require_torch, torch_device
 
 
 enable_full_determinism()
@@ -96,7 +96,7 @@ class LDMPipelineFastTests(unittest.TestCase):
         assert np.abs(image_from_tuple_slice.flatten() - expected_slice).max() < tolerance
 
 
-@slow
+@nightly
 @require_torch
 class LDMPipelineIntegrationTests(unittest.TestCase):
     def test_inference_uncond(self):

tests/pipelines/stable_diffusion/test_stable_diffusion_k_diffusion.py

@@ -20,13 +20,13 @@ import numpy as np
 import torch
 
 from diffusers import StableDiffusionKDiffusionPipeline
-from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, slow, torch_device
+from diffusers.utils.testing_utils import enable_full_determinism, nightly, require_torch_gpu, torch_device
 
 
 enable_full_determinism()
 
 
-@slow
+@nightly
 @require_torch_gpu
 class StableDiffusionPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/stable_diffusion/test_stable_diffusion_model_editing.py

@@ -28,7 +28,7 @@ from diffusers import (
     StableDiffusionModelEditingPipeline,
     UNet2DConditionModel,
 )
-from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, skip_mps, slow, torch_device
+from diffusers.utils.testing_utils import enable_full_determinism, nightly, require_torch_gpu, skip_mps, torch_device
 
 from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS
 from ..test_pipelines_common import PipelineKarrasSchedulerTesterMixin, PipelineLatentTesterMixin, PipelineTesterMixin
@@ -184,7 +184,7 @@ class StableDiffusionModelEditingPipelineFastTests(
         super().test_attention_slicing_forward_pass(expected_max_diff=5e-3)
 
 
-@slow
+@nightly
 @require_torch_gpu
 class StableDiffusionModelEditingSlowTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/stable_diffusion/test_stable_diffusion_paradigms.py

@@ -29,8 +29,8 @@ from diffusers import (
 )
 from diffusers.utils.testing_utils import (
     enable_full_determinism,
+    nightly,
     require_torch_gpu,
-    slow,
     torch_device,
 )
 
@@ -188,7 +188,7 @@ class StableDiffusionParadigmsPipelineFastTests(PipelineLatentTesterMixin, Pipel
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
 
 
-@slow
+@nightly
 @require_torch_gpu
 class StableDiffusionParadigmsPipelineSlowTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/stable_diffusion/test_stable_diffusion_sag.py

@@ -26,7 +26,7 @@ from diffusers import (
     StableDiffusionSAGPipeline,
     UNet2DConditionModel,
 )
-from diffusers.utils.testing_utils import enable_full_determinism, 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
 from ..test_pipelines_common import PipelineLatentTesterMixin, PipelineTesterMixin
@@ -115,7 +115,7 @@ class StableDiffusionSAGPipelineFastTests(PipelineLatentTesterMixin, PipelineTes
         super().test_inference_batch_single_identical(expected_max_diff=3e-3)
 
 
-@slow
+@nightly
 @require_torch_gpu
 class StableDiffusionPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/stable_diffusion_2/test_stable_diffusion_attend_and_excite.py

@@ -28,10 +28,10 @@ from diffusers import (
 )
 from diffusers.utils.testing_utils import (
     load_numpy,
+    nightly,
     numpy_cosine_similarity_distance,
     require_torch_gpu,
     skip_mps,
-    slow,
 )
 
 from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS
@@ -187,7 +187,7 @@ class StableDiffusionAttendAndExcitePipelineFastTests(
 
 
 @require_torch_gpu
-@slow
+@nightly
 class StableDiffusionAttendAndExcitePipelineIntegrationTests(unittest.TestCase):
     # Attend and excite requires being able to run a backward pass at
     # inference time. There's no deterministic backward operator for pad

tests/pipelines/stable_diffusion_2/test_stable_diffusion_diffedit.py

@@ -39,7 +39,6 @@ from diffusers.utils.testing_utils import (
     nightly,
     numpy_cosine_similarity_distance,
     require_torch_gpu,
-    slow,
     torch_device,
 )
 
@@ -292,7 +291,7 @@ class StableDiffusionDiffEditPipelineFastTests(PipelineLatentTesterMixin, Pipeli
 
 
 @require_torch_gpu
-@slow
+@nightly
 class StableDiffusionDiffEditPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):
         super().tearDown()

tests/pipelines/stable_unclip/test_stable_unclip.py

@@ -13,7 +13,7 @@ from diffusers import (
     UNet2DConditionModel,
 )
 from diffusers.pipelines.stable_diffusion.stable_unclip_image_normalizer import StableUnCLIPImageNormalizer
-from diffusers.utils.testing_utils import enable_full_determinism, load_numpy, require_torch_gpu, slow, torch_device
+from diffusers.utils.testing_utils import enable_full_determinism, load_numpy, nightly, require_torch_gpu, torch_device
 
 from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS
 from ..test_pipelines_common import (
@@ -185,7 +185,7 @@ class StableUnCLIPPipelineFastTests(
         self._test_inference_batch_single_identical(expected_max_diff=1e-3)
 
 
-@slow
+@nightly
 @require_torch_gpu
 class StableUnCLIPPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/stable_unclip/test_stable_unclip_img2img.py

@@ -22,9 +22,9 @@ from diffusers.utils.testing_utils import (
     floats_tensor,
     load_image,
     load_numpy,
+    nightly,
     require_torch_gpu,
     skip_mps,
-    slow,
     torch_device,
 )
 
@@ -206,7 +206,7 @@ class StableUnCLIPImg2ImgPipelineFastTests(
         self._test_xformers_attention_forwardGenerator_pass(test_max_difference=False)
 
 
-@slow
+@nightly
 @require_torch_gpu
 class StableUnCLIPImg2ImgPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):

tests/pipelines/text_to_video/test_text_to_video_zero.py

@@ -18,12 +18,12 @@ import unittest
 import torch
 
 from diffusers import DDIMScheduler, TextToVideoZeroPipeline
-from diffusers.utils.testing_utils import load_pt, require_torch_gpu, slow
+from diffusers.utils.testing_utils import load_pt, nightly, require_torch_gpu
 
 from ..test_pipelines_common import assert_mean_pixel_difference
 
 
-@slow
+@nightly
 @require_torch_gpu
 class TextToVideoZeroPipelineSlowTests(unittest.TestCase):
     def test_full_model(self):

tests/pipelines/text_to_video/test_video_to_video.py

@@ -31,9 +31,9 @@ from diffusers.utils.testing_utils import (
     enable_full_determinism,
     floats_tensor,
     is_flaky,
+    nightly,
     numpy_cosine_similarity_distance,
     skip_mps,
-    slow,
     torch_device,
 )
 
@@ -195,7 +195,7 @@ class VideoToVideoSDPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
         return super().test_progress_bar()
 
 
-@slow
+@nightly
 @skip_mps
 class VideoToVideoSDPipelineSlowTests(unittest.TestCase):
     def test_two_step_model(self):