update

tests/single_file/single_file_testing_utils.py

@@ -119,6 +119,24 @@ class SingleFileModelTesterMixin:
                 f"max difference {torch.max(torch.abs(param - param_single_file)).item()}"
             )
 
+    def test_checkpoint_altered_keys_loading(self):
+        # Test loading with checkpoints that have altered keys
+        if not hasattr(self, "alternate_keys_ckpt_paths") or not self.alternate_keys_ckpt_paths:
+            return
+
+        for ckpt_path in self.alternate_keys_ckpt_paths:
+            backend_empty_cache(torch_device)
+
+            single_file_kwargs = {}
+            if hasattr(self, "torch_dtype") and self.torch_dtype:
+                single_file_kwargs["torch_dtype"] = self.torch_dtype
+
+            model = self.model_class.from_single_file(ckpt_path, **single_file_kwargs)
+
+            del model
+            gc.collect()
+            backend_empty_cache(torch_device)
+
 
 class SDSingleFileTesterMixin:
     single_file_kwargs = {}

tests/single_file/test_lumina2_transformer.py

@@ -13,7 +13,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import gc
 import unittest
 
 from diffusers import (
@@ -21,9 +20,7 @@ from diffusers import (
 )
 
 from ..testing_utils import (
-    backend_empty_cache,
     enable_full_determinism,
-    torch_device,
 )
 from .single_file_testing_utils import SingleFileModelTesterMixin
 
@@ -40,12 +37,3 @@ class Lumina2Transformer2DModelSingleFileTests(SingleFileModelTesterMixin, unitt
 
     repo_id = "Alpha-VLLM/Lumina-Image-2.0"
     subfolder = "transformer"
-
-    def test_checkpoint_loading(self):
-        for ckpt_path in self.alternate_keys_ckpt_paths:
-            backend_empty_cache(torch_device)
-            model = self.model_class.from_single_file(ckpt_path)
-
-            del model
-            gc.collect()
-            backend_empty_cache(torch_device)

tests/single_file/test_model_flux_transformer_single_file.py

@@ -37,18 +37,8 @@ class FluxTransformer2DModelSingleFileTests(SingleFileModelTesterMixin, unittest
     alternate_keys_ckpt_paths = ["https://huggingface.co/Comfy-Org/flux1-dev/blob/main/flux1-dev-fp8.safetensors"]
 
     repo_id = "black-forest-labs/FLUX.1-dev"
-
     subfolder = "transformer"
 
-    def test_checkpoint_loading(self):
-        for ckpt_path in self.alternate_keys_ckpt_paths:
-            backend_empty_cache(torch_device)
-            model = self.model_class.from_single_file(ckpt_path)
-
-            del model
-            gc.collect()
-            backend_empty_cache(torch_device)
-
     def test_device_map_cuda(self):
         backend_empty_cache(torch_device)
         model = self.model_class.from_single_file(self.ckpt_path, device_map="cuda")

tests/single_file/test_sana_transformer.py

@@ -1,4 +1,3 @@
-import gc
 import unittest
 
 from diffusers import (
@@ -6,9 +5,7 @@ from diffusers import (
 )
 
 from ..testing_utils import (
-    backend_empty_cache,
     enable_full_determinism,
-    torch_device,
 )
 from .single_file_testing_utils import SingleFileModelTesterMixin
 
@@ -27,12 +24,3 @@ class SanaTransformer2DModelSingleFileTests(SingleFileModelTesterMixin, unittest
 
     repo_id = "Efficient-Large-Model/Sana_1600M_1024px_diffusers"
     subfolder = "transformer"
-
-    def test_checkpoint_loading(self):
-        for ckpt_path in self.alternate_keys_ckpt_paths:
-            backend_empty_cache(torch_device)
-            model = self.model_class.from_single_file(ckpt_path)
-
-            del model
-            gc.collect()
-            backend_empty_cache(torch_device)