move lora integration tests to nightly./

Author: sayakpaul

tests/lora/test_lora_layers_flux.py

@@ -27,6 +27,7 @@
 from diffusers.utils.testing_utils import (
     floats_tensor,
     is_peft_available,
+    nightly,
     numpy_cosine_similarity_distance,
     require_peft_backend,
     require_torch_gpu,
@@ -165,9 +166,10 @@ def test_modify_padding_mode(self):
 
 
 @slow
+@nightly
 @require_torch_gpu
 @require_peft_backend
-# @unittest.skip("We cannot run inference on this model with the current CI hardware")
+@unittest.skip("We cannot run inference on this model with the current CI hardware")
 # TODO (DN6, sayakpaul): move these tests to a beefier GPU
 class FluxLoRAIntegrationTests(unittest.TestCase):
     """internal note: The integration slices were obtained on audace.

tests/lora/test_lora_layers_sd.py

@@ -34,6 +34,7 @@
 from diffusers.utils.import_utils import is_accelerate_available
 from diffusers.utils.testing_utils import (
     load_image,
+    nightly,
     numpy_cosine_similarity_distance,
     require_peft_backend,
     require_torch_gpu,
@@ -207,6 +208,7 @@ def test_integration_move_lora_dora_cpu(self):
 
 
 @slow
+@nightly
 @require_torch_gpu
 @require_peft_backend
 class LoraIntegrationTests(unittest.TestCase):

tests/lora/test_lora_layers_sdxl.py

@@ -113,6 +113,7 @@ def tearDown(self):
 
 
 @slow
+@nightly
 @require_torch_gpu
 @require_peft_backend
 class LoraSDXLIntegrationTests(unittest.TestCase):