diff --git a/modules/api/processing.py b/modules/api/processing.py
index 459a8f492..4c3d0bd0b 100644
--- a/modules/api/processing.py
+++ b/modules/api/processing.py
@@ -16,46 +16,15 @@ class ModelDef(BaseModel):
 
 class pydanticModelGenerator:
     """
-    Takes source_data:Dict ( a single instance example of something like a JSON node) and self generates a pythonic data model with Alias to original source field names. This makes it easy to popuate or export to other systems yet handle the data in a pythonic way.
-    Being a pydantic datamodel all the richness of pydantic data validation is available and these models can easily be used in FastAPI and or a ORM
-
-    It does not process full JSON data structures but takes simple JSON document with basic elements
-
-    Provide a model_name, an example of JSON data and a dict of type overrides
-
-    Example:
-
-    source_data = {'Name': '48 Rainbow Rd',
-        'GroupAddressStyle': 'ThreeLevel',
-        'LastModified': '2020-12-21T07:02:51.2400232Z',
-        'ProjectStart': '2020-12-03T07:36:03.324856Z',
-        'Comment': '',
-        'CompletionStatus': 'Editing',
-        'LastUsedPuid': '955',
-        'Guid': '0c85957b-c2ae-4985-9752-b300ab385b36'}
-
-    source_overrides = {'Guid':{'type':uuid.UUID},
-            'LastModified':{'type':datetime },
-            'ProjectStart':{'type':datetime },
-            }
-    source_optionals = {"Comment":True}
-
-    #create Model
-    model_Project=pydanticModelGenerator(
-        model_name="Project",
-        source_data=source_data,
-        overrides=source_overrides,
-        optionals=source_optionals).generate_model()
-
-    #create instance using DynamicModel
-    project_instance=model_Project(**project_info)
-
+    Takes in created classes and stubs them out in a way FastAPI/Pydantic is happy about:
+    source_data is a snapshot of the default values produced by the class
+    params are the names of the actual keys required by __init__
     """
 
     def __init__(
         self,
         model_name: str = None,
-        source_data: str = None,
+        source_data: {} = {},
         params: Dict = {},
         overrides: Dict = {},
         optionals: Dict = {},
@@ -96,4 +65,4 @@ class pydanticModelGenerator:
     
 StableDiffusionProcessingAPI = pydanticModelGenerator("StableDiffusionProcessing", 
                                                       StableDiffusionProcessing().__dict__, 
-                                                      inspect.signature(StableDiffusionProcessing.__init__).parameters).generate_model()
\ No newline at end of file
+                                                      inspect.signature(StableDiffusionProcessing.__init__).parameters).generate_model()