repair /docs page

modules/api/models.py

@@ -50,10 +50,12 @@ class PydanticModelGenerator:
         additional_fields = None,
     ):
         def field_type_generator(k, v):
-            # field_type = str if not overrides.get(k) else overrides[k]["type"]
-            # print(k, v.annotation, v.default)
             field_type = v.annotation
 
+            if field_type == 'Image':
+                # images are sent as base64 strings via API
+                field_type = 'str'
+
             return Optional[field_type]
 
         def merge_class_params(class_):
@@ -63,7 +65,6 @@ class PydanticModelGenerator:
                 parameters = {**parameters, **inspect.signature(classes.__init__).parameters}
             return parameters
 
-
         self._model_name = model_name
         self._class_data = merge_class_params(class_instance)
 
@@ -72,7 +73,7 @@ class PydanticModelGenerator:
                 field=underscore(k),
                 field_alias=k,
                 field_type=field_type_generator(k, v),
-                field_value=v.default
+                field_value=None if isinstance(v.default, property) else v.default
             )
             for (k,v) in self._class_data.items() if k not in API_NOT_ALLOWED
         ]

modules/processing.py

@@ -114,7 +114,7 @@ class StableDiffusionProcessing:
     prompt: str = ""
     prompt_for_display: str = None
     negative_prompt: str = ""
-    styles: list[str] = field(default_factory=list)
+    styles: list[str] = None
     seed: int = -1
     subseed: int = -1
     subseed_strength: float = 0
@@ -199,6 +199,7 @@ class StableDiffusionProcessing:
             print("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name", file=sys.stderr)
 
         self.comments = {}
+        self.styles = []
 
         self.sampler_noise_scheduler_override = None
         self.s_min_uncond = self.s_min_uncond if self.s_min_uncond is not None else opts.s_min_uncond