improve

app.py

@@ -98,7 +98,7 @@ pipe = FluxInpaintPipeline.from_pretrained(bfl_repo, torch_dtype=torch.bfloat16)
 MAX_SEED = np.iinfo(np.int32).max
 TRIGGER = "a photo of TOK"
 
-@spaces.GPU(duration=150)
+@spaces.GPU(duration=200)
 def execute(image, prompt):
   if not prompt :
         gr.Info("Please enter a text prompt.")
@@ -111,7 +111,7 @@ def execute(image, prompt):
   img = cv2.imread(image)
   img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
 
-  imgs = [ random_positioning(img),  random_positioning(img),  random_positioning(img),  random_positioning(img)]
+  imgs = [ random_positioning(img),  random_positioning(img)]
 
   pipe.load_lora_weights("XLabs-AI/flux-RealismLora", weight_name='lora.safetensors')
   response = []