finish

app.py

@@ -174,9 +174,6 @@ def run_flux(
         seed_slicer = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed_slicer)
 
-    # pipe.enable_xformers_memory_efficient_attention()
-
-
     with calculateDuration("run pipe"):
         print("start to run pipe")
         generated_image = pipe(
@@ -185,6 +182,7 @@ def run_flux(
             mask_image=mask,
             control_image=control_image,
             control_mode=control_mode,
+            controlnet_conditioning_scale=0.85,
             width=width,
             height=height,
             strength=strength_slider,
@@ -193,7 +191,7 @@ def run_flux(
             max_sequence_length=256,
             joint_attention_kwargs={"scale": lora_scale}
         ).images[0]
-    
+    progress(99, "Generate image success!")
     return generated_image
 
 @spaces.GPU(duration=120)
@@ -334,7 +332,8 @@ def process(
     final_images.append(control_image)
     if generated_image:
         final_images.append(generated_image)
-        
+    
+    progress(100, "finish!")
     return final_images, json.dumps(result)