refiner setup

app.py

@@ -32,7 +32,7 @@ CACHE_EXAMPLES = torch.cuda.is_available() and os.getenv("CACHE_EXAMPLES", "0")
 MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "1024"))
 USE_TORCH_COMPILE = os.getenv("USE_TORCH_COMPILE") == "1"
 ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD") == "1"
-ENABLE_REFINER = os.getenv("ENABLE_REFINER", "0") == "1"
+ENABLE_REFINER = os.getenv("ENABLE_REFINER", "0")#
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 if torch.cuda.is_available():
@@ -219,14 +219,14 @@ with gr.Blocks(css="footer{display:none !important}", theme=theme) as demo:
                 minimum=1,
                 maximum=20,
                 step=0.1,
-                value=5.0,
+                value=7.5,
             )
             num_inference_steps_base = gr.Slider(
                 label="Number of inference steps for base",
                 minimum=10,
                 maximum=100,
                 step=1,
-                value=25,
+                value=60,
             )
         with gr.Row(visible=False) as refiner_params:
             guidance_scale_refiner = gr.Slider(