add check for state_dict, required to load TI's

Author: Vargol

invokeai/backend/model_manager/load/model_cache/cached_model/cached_model_only_full_load.py

@@ -78,7 +78,8 @@ def full_load_to_vram(self) -> int:
                 new_state_dict[k] = v.to(self._compute_device, copy=True)
             self._model.load_state_dict(new_state_dict, assign=True)
 
-        check_for_gguf = self._model.state_dict().get("img_in.weight")
+        
+        check_for_gguf = hasattr(self._model, 'state_dict') and self._model.state_dict().get("img_in.weight")
         if isinstance(check_for_gguf, GGMLTensor):
             old_value = torch.__future__.get_overwrite_module_params_on_conversion()
             torch.__future__.set_overwrite_module_params_on_conversion(True)
@@ -102,7 +103,7 @@ def full_unload_from_vram(self) -> int:
         if self._cpu_state_dict is not None:
             self._model.load_state_dict(self._cpu_state_dict, assign=True)
 
-        check_for_gguf = self._model.state_dict().get("img_in.weight")
+        check_for_gguf = hasattr(self._model, 'state_dict') and self._model.state_dict().get("img_in.weight")
         if isinstance(check_for_gguf, GGMLTensor):
             old_value = torch.__future__.get_overwrite_module_params_on_conversion()
             torch.__future__.set_overwrite_module_params_on_conversion(True)