diff --git a/src/diffusers/pipeline_utils.py b/src/diffusers/pipeline_utils.py
index 743a807510..77be534009 100644
--- a/src/diffusers/pipeline_utils.py
+++ b/src/diffusers/pipeline_utils.py
@@ -55,11 +55,20 @@ class DiffusionPipeline(ConfigMixin):
     config_name = "model_index.json"
 
     def register_modules(self, **kwargs):
+        # import it here to avoid circular import
+        from diffusers import pipelines
+        
         for name, module in kwargs.items():
+            # check if the module is a pipeline module
+            is_pipeline_module = hasattr(pipelines, module.__module__.split(".")[-1])
+            
             # retrive library
             library = module.__module__.split(".")[0]
-            # if library is not in LOADABLE_CLASSES, then it is a custom module
-            if library not in LOADABLE_CLASSES:
+            
+            # if library is not in LOADABLE_CLASSES, then it is a custom module.
+            # Or if it's a pipeline module, then the module is inside the pipeline
+            # so we set the library to module name.
+            if library not in LOADABLE_CLASSES or is_pipeline_module:
                 library = module.__module__.split(".")[-1]
 
             # retrive class_name
@@ -151,12 +160,22 @@ class DiffusionPipeline(ConfigMixin):
         init_dict, _ = pipeline_class.extract_init_dict(config_dict, **kwargs)
 
         init_kwargs = {}
-
+        
+        # import it here to avoid circular import
+        from diffusers import pipelines
+        
         # 4. Load each module in the pipeline
         for name, (library_name, class_name) in init_dict.items():
-            # if the model is not in diffusers or transformers, we need to load it from the hub
-            # assumes that it's a subclass of ModelMixin
-            if library_name == module_candidate_name:
+            is_pipeline_module = hasattr(pipelines, library_name)
+            # if the model is in a pipeline module, then we load it from the pipeline
+            if is_pipeline_module:
+                pipeline_module = getattr(pipelines, library_name)
+                class_obj = getattr(pipeline_module, class_name)
+                importable_classes = ALL_IMPORTABLE_CLASSES
+                class_candidates = {c: class_obj for c in ALL_IMPORTABLE_CLASSES.keys()}
+            elif library_name == module_candidate_name:
+                # if the model is not in diffusers or transformers, we need to load it from the hub
+                # assumes that it's a subclass of ModelMixin
                 class_obj = get_class_from_dynamic_module(cached_folder, module_candidate, class_name, cached_folder)
                 # since it's not from a library, we need to check class candidates for all importable classes
                 importable_classes = ALL_IMPORTABLE_CLASSES