update

app.py

@@ -72,6 +72,7 @@ guidance_scale = 5
 
 # LCM
 if os.environ.get("LCM"):
+    print("LCM")
     num_inference_steps = 10
     guidance_scale = 0
 
@@ -79,6 +80,8 @@ if os.environ.get("LCM"):
     pipe.fuse_lora()
     pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
 
+print(f"default: num_inference_steps={num_inference_steps}, guidance_scale={guidance_scale}")
+
 if device == 'mps':
     pipe.to("mps", torch_dtype)
     pipe.enable_attention_slicing()