diff --git a/src/diffusers/configuration_utils.py b/src/diffusers/configuration_utils.py
index abc6e094..d68cef70 100644
--- a/src/diffusers/configuration_utils.py
+++ b/src/diffusers/configuration_utils.py
@@ -134,6 +134,10 @@ class ConfigMixin:
             if os.path.isfile(os.path.join(pretrained_model_name_or_path, cls.config_name)):
                 # Load from a PyTorch checkpoint
                 config_file = os.path.join(pretrained_model_name_or_path, cls.config_name)
+            elif subfolder is not None and os.path.isfile(
+                os.path.join(pretrained_model_name_or_path, subfolder, cls.config_name)
+            ):
+                config_file = os.path.join(pretrained_model_name_or_path, subfolder, cls.config_name)
             else:
                 raise EnvironmentError(
                     f"Error no file named {cls.config_name} found in directory {pretrained_model_name_or_path}."
diff --git a/src/diffusers/modeling_utils.py b/src/diffusers/modeling_utils.py
index 0bb849c5..9e07c2ff 100644
--- a/src/diffusers/modeling_utils.py
+++ b/src/diffusers/modeling_utils.py
@@ -348,6 +348,10 @@ class ModelMixin(torch.nn.Module):
             if os.path.isfile(os.path.join(pretrained_model_name_or_path, WEIGHTS_NAME)):
                 # Load from a PyTorch checkpoint
                 model_file = os.path.join(pretrained_model_name_or_path, WEIGHTS_NAME)
+            elif subfolder is not None and os.path.isfile(
+                os.path.join(pretrained_model_name_or_path, subfolder, WEIGHTS_NAME)
+            ):
+                model_file = os.path.join(pretrained_model_name_or_path, subfolder, WEIGHTS_NAME)
             else:
                 raise EnvironmentError(
                     f"Error no file named {WEIGHTS_NAME} found in directory {pretrained_model_name_or_path}."
diff --git a/src/diffusers/schedulers/scheduling_pndm.py b/src/diffusers/schedulers/scheduling_pndm.py
index 49d3975f..7df1c3bb 100644
--- a/src/diffusers/schedulers/scheduling_pndm.py
+++ b/src/diffusers/schedulers/scheduling_pndm.py
@@ -214,7 +214,9 @@ class PNDMScheduler(SchedulerMixin, ConfigMixin):
         ) ** (0.5)
 
         # full formula (9)
-        prev_sample = sample_coeff * sample - (alpha_prod_t_prev - alpha_prod_t) * model_output / model_output_denom_coeff
+        prev_sample = (
+            sample_coeff * sample - (alpha_prod_t_prev - alpha_prod_t) * model_output / model_output_denom_coeff
+        )
 
         return prev_sample