Update handler.py

handler.py

@@ -200,7 +200,7 @@ class EndpointHandler():
     def __init__(self, path=""):
         # load the optimized model
         print("Logs: model loaded .... starts")
-        
+        print("Logs: self.multi_text2image_model", multi_text2image_model)
         prompt_modifier.load()
 
         lora_style.load(path)
@@ -209,8 +209,8 @@ class EndpointHandler():
         self.path = path
         
         for model in multi_model_list:
-            print("Logs: model value is", model)
-            print("Logs: model path value is", model["model_id"] )
+
+       
             
             controlnet = ControlNet()
             img2img_pipe = Img2Img()
@@ -225,16 +225,16 @@ class EndpointHandler():
             multi_image2image_model[model["model_id"]] = img2img_pipe;
             img2img_pipe.load( model["model_id"])
             
-            print(" Logs: model[model_id]", model["model_id"])
-            print("Logs: multimodel controlnet pipelines are",  multi_controlnet_model[model["model_id"]])    
-            print("Logs: multimodel text2img pipelines are",  multi_text2image_model[model["model_id"]]) 
-            print("Logs: multimodel imgtoimage pipelines are",  multi_image2image_model[model["model_id"]]) 
+            print(" Logs: model[model_id]",model, model["model_id"])
+            print("Logs: multimodel controlnet pipelines are",model,  multi_controlnet_model[model["model_id"]])    
+            print("Logs: multimodel text2img pipelines are",model,  multi_text2image_model[model["model_id"]]) 
+            print("Logs: multimodel imgtoimage pipelines are",model,  multi_image2image_model[model["model_id"]]) 
         # controlnet.load(path)
         # text2img_pipe.load(path)
         # img2img_pipe.load(path)
-        print("Logs: self.multi_image2image_model",multi_image2image_model)
-        print("Logs: self.multi_text2image_model",multi_text2image_model)
-        print("Logs: self.multi_controlnet_model",multi_controlnet_model)
+        print("Logs: self.multi_image2image_model")
+        print("Logs: self.multi_text2image_model", multi_text2image_model)
+        print("Logs: self.multi_controlnet_model", multi_controlnet_model)
         print("Logs: model loaded ....")