set default simpler

inference_manager.py

@@ -208,7 +208,7 @@ class InferenceManager:
             except Exception as e:
                 print(f"Lora {lora_name} not loaded, skipping... {e}")
 
-    def build_pipeline_with_lora(self, lora_list, sampler="DPM2 a", new_pipeline=False):
+    def build_pipeline_with_lora(self, lora_list, sampler=None, new_pipeline=False):
         """Build the pipeline with specific LoRAs, loading any that are not preloaded."""
         # Deep copy the base pipeline
         start = time.time()
@@ -238,7 +238,8 @@ class InferenceManager:
 
         build_time = round(time.time() - start, 2)
         print(f"Pipeline built with LoRAs in {build_time}s.")
-
+        if not simpler:
+            simpler = self.cfg.get("simpler", "DPM2 a")
         # Define samplers
         samplers = {
             "Euler a": EulerAncestralDiscreteScheduler.from_config(temp_pipeline.scheduler.config),
@@ -302,7 +303,7 @@ class ModelManager:
         model_name, _ = os.path.splitext(filename)
         return model_name
 
-    def get_model_pipeline(self, model_id, lora_list, sampler="DPM2 a", new_pipeline=False):
+    def get_model_pipeline(self, model_id, lora_list, sampler=None, new_pipeline=False):
         """
         Build the pipeline with specific LoRAs for a model.