Move more slow tests to nightly (huggingface#5220)

* move to nightly

* fix mistake

Author: DN6

tests/pipelines/audio_diffusion/test_audio_diffusion.py

@@ -29,7 +29,7 @@
     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 @@ def dummy_vqvae_and_unet(self):
         )
         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 @@
     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 @@ def test_xformers_attention_forwardGenerator_pass(self):
         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 @@
     floats_tensor,
     load_image,
     load_numpy,
+    nightly,
     require_torch_gpu,
-    slow,
     torch_device,
 )
 
@@ -232,7 +232,7 @@ def test_float16_inference(self):
         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 @@
 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 @@ def test_inference_uncond(self):
         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 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 @@
     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 @@ def test_attention_slicing_forward_pass(self):
         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.utils.testing_utils import (
     enable_full_determinism,
+    nightly,
     require_torch_gpu,
-    slow,
     torch_device,
 )
 
@@ -188,7 +188,7 @@ def test_stable_diffusion_paradigms_negative_prompt(self):
         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 @@
     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 @@ def test_inference_batch_single_identical(self):
         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.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 @@ def test_save_load_optional_components(self):
 
 
 @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 @@
     nightly,
     numpy_cosine_similarity_distance,
     require_torch_gpu,
-    slow,
     torch_device,
 )
 
@@ -292,7 +291,7 @@ def test_inversion_dpm(self):
 
 
 @require_torch_gpu
-@slow
+@nightly
 class StableDiffusionDiffEditPipelineIntegrationTests(unittest.TestCase):
     def tearDown(self):
         super().tearDown()