Update app.py

app.py

@@ -496,11 +496,12 @@ def infer(
             
             if use_LCM_adapter == True:
 
-                print('use_LCM_adapter = ', True)
+                print('use_LCM_adapter = True')
                 
                 if LCM_adapter == "lcm-lora-sdv1-5":
                     adapter_id = "latent-consistency/lcm-lora-sdv1-5"
 
+                guidance_scale = 0
                 generator = torch.Generator(device).manual_seed(seed)
 
                 pipe_LCM = get_lora_sd_pipeline(lora_dir='lora_man_animestyle', base_model_name_or_path=model_default, dtype=torch_dtype).to(device)
@@ -530,7 +531,7 @@ def infer(
 
                 if use_DDIMScheduler == True:
 
-                    print('use_DDIMScheduler = ', True)
+                    print('use_DDIMScheduler = True')
 
                     generator = torch.Generator(device).manual_seed(seed)
 
@@ -555,6 +556,8 @@ def infer(
                 else:    
                     # Генерация изображений с LORA без ControlNet и IP_Adapter ---------------------------------------------------------------------------------------------
 
+                    print('Генерация изображений с LORA без ControlNet и IP_Adapter')
+                    
                     # Инициализация ControlNet
                     controlnet_model_path = "lllyasviel/sd-controlnet-openpose"
                     controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=torch_dtype)