Update app.py

app.py

@@ -41,11 +41,11 @@ if torch.cuda.is_available():
             "madebyollin/sdxl-vae-fp16-fix", 
             torch_dtype=torch.float16
         )
-        #pipe.scheduler = KDPM2AncestralDiscreteScheduler.from_config(pipe.scheduler.config)
+        pipe.scheduler = KDPM2AncestralDiscreteScheduler.from_config(pipe.scheduler.config)
         pipe.to(device)    
         print("Loaded on Device!")
-    #pipe.load_lora_weights("stabilityai/stable-diffusion-xl-base-1.0", weight_name="sd_xl_offset_example-lora_1.0.safetensors")
-    #pipe.fuse_lora(lora_scale=0.1)
+    pipe.load_lora_weights("stabilityai/stable-diffusion-xl-base-1.0", weight_name="sd_xl_offset_example-lora_1.0.safetensors")
+    pipe.fuse_lora(lora_scale=0.1)
     if USE_TORCH_COMPILE:
         pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
         print("Model Compiled!")
@@ -87,7 +87,7 @@ def generate(
         width=width,
         height=height,
         guidance_scale=guidance_scale,
-        num_inference_steps=20,
+        num_inference_steps=35,
         num_images_per_prompt=1,
         output_type="pil",
     ).images