Fixing missing provider options argument

src/diffusers/pipelines/onnx_utils.py

@@ -75,6 +75,11 @@ def load_model(path: Union[str, Path], provider=None, sess_options=None, provide
             logger.info("No onnxruntime provider specified, using CPUExecutionProvider")
             provider = "CPUExecutionProvider"
 
+        if provider_options is None:
+            provider_options = []
+        elif not isinstance(provider_options, list):
+            provider_options = [provider_options]
+
         return ort.InferenceSession(
             path, providers=[provider], sess_options=sess_options, provider_options=provider_options
         )
@@ -174,7 +179,10 @@ def _from_pretrained(
         # load model from local directory
         if os.path.isdir(model_id):
             model = OnnxRuntimeModel.load_model(
-                Path(model_id, model_file_name).as_posix(), provider=provider, sess_options=sess_options
+                Path(model_id, model_file_name).as_posix(),
+                provider=provider,
+                sess_options=sess_options,
+                provider_options=kwargs.pop("provider_options"),
             )
             kwargs["model_save_dir"] = Path(model_id)
         # load model from hub
@@ -190,7 +198,12 @@ def _from_pretrained(
             )
             kwargs["model_save_dir"] = Path(model_cache_path).parent
             kwargs["latest_model_name"] = Path(model_cache_path).name
-            model = OnnxRuntimeModel.load_model(model_cache_path, provider=provider, sess_options=sess_options)
+            model = OnnxRuntimeModel.load_model(
+                model_cache_path,
+                provider=provider,
+                sess_options=sess_options,
+                provider_options=kwargs.pop("provider_options"),
+            )
         return cls(model=model, **kwargs)
 
     @classmethod