don't run sana layerwise casting tests in CI.

Author: sayakpaul

tests/lora/test_lora_layers_sana.py

@@ -12,6 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import os
 import sys
 import unittest
 
@@ -28,6 +29,9 @@
 from .utils import PeftLoraLoaderMixinTests  # noqa: E402
 
 
+IS_GITHUB_ACTIONS = os.getenv("GITHUB_ACTIONS") == "true" and os.getenv("DIFFUSERS_IS_CI") == "yes"
+
+
 @require_peft_backend
 class SanaLoRATests(unittest.TestCase, PeftLoraLoaderMixinTests):
     pipeline_class = SanaPipeline
@@ -136,3 +140,7 @@ def test_simple_inference_with_text_lora_fused(self):
     @unittest.skip("Text encoder LoRA is not supported in SANA.")
     def test_simple_inference_with_text_lora_save_load(self):
         pass
+
+    @unittest.skipIf(IS_GITHUB_ACTIONS, reason="Skipping test inside GitHub Actions environment")
+    def test_layerwise_casting_inference_denoiser(self):
+        return super().test_layerwise_casting_inference_denoiser()

tests/models/autoencoders/test_models_autoencoder_dc.py

@@ -13,21 +13,20 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import os
 import unittest
 
 from diffusers import AutoencoderDC
 
-from ...testing_utils import (
-    enable_full_determinism,
-    floats_tensor,
-    torch_device,
-)
+from ...testing_utils import enable_full_determinism, floats_tensor, torch_device
 from ..test_modeling_common import ModelTesterMixin
 from .testing_utils import AutoencoderTesterMixin
 
 
 enable_full_determinism()
 
+IS_GITHUB_ACTIONS = os.getenv("GITHUB_ACTIONS") == "true" and os.getenv("DIFFUSERS_IS_CI") == "yes"
+
 
 class AutoencoderDCTests(ModelTesterMixin, AutoencoderTesterMixin, unittest.TestCase):
     model_class = AutoencoderDC
@@ -82,3 +81,7 @@ def prepare_init_args_and_inputs_for_common(self):
         init_dict = self.get_autoencoder_dc_config()
         inputs_dict = self.dummy_input
         return init_dict, inputs_dict
+
+    @unittest.skipIf(IS_GITHUB_ACTIONS, reason="Skipping test inside GitHub Actions environment")
+    def test_layerwise_casting_inference(self):
+        super().test_layerwise_casting_inference()