fix naming

models/vision/ddpm/modeling_ddpm.py

@@ -23,7 +23,7 @@ class DDPM(DiffusionPipeline):
 
     modeling_file = "modeling_ddpm.py"
 
-    def __init__(self, unet, noise_scheduler, vqvae):
+    def __init__(self, unet, noise_scheduler):
         super().__init__()
         self.register_modules(unet=unet, noise_scheduler=noise_scheduler)
 

src/diffusers/pipeline_utils.py

@@ -90,10 +90,14 @@ class DiffusionPipeline(ConfigMixin):
     @classmethod
     def from_pretrained(cls, pretrained_model_name_or_path: Optional[Union[str, os.PathLike]], **kwargs):
         # use snapshot download here to get it working from from_pretrained
+        if not os.path.isdir(pretrained_model_name_or_path):
             cached_folder = snapshot_download(pretrained_model_name_or_path)
+        else:
+            cached_folder = pretrained_model_name_or_path
+
         config_dict, pipeline_kwargs = cls.get_config_dict(cached_folder)
 
-        module = pipeline_kwargs["_module"]
+        module = pipeline_kwargs.pop("_module", None)
         # TODO(Suraj) - make from hub import work
         # Make `ddpm = DiffusionPipeline.from_pretrained("fusing/ddpm-lsun-bedroom-pipe")` work
         # Add Sylvains code from transformers
@@ -118,7 +122,7 @@ class DiffusionPipeline(ConfigMixin):
 
             load_method = getattr(class_obj, load_method_name)
 
-            if os.path.dir(os.path.join(cached_folder, name)):
+            if os.path.isdir(os.path.join(cached_folder, name)):
                 loaded_sub_model = load_method(os.path.join(cached_folder, name))
             else:
                 loaded_sub_model = load_method(cached_folder)