Update app.py

app.py

@@ -9,10 +9,12 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 if torch.cuda.is_available():
     torch.cuda.max_memory_allocated(device=device)
     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
-    pipe.enable_xformers_memory_efficient_attention()
+    pipe.load_lora_weights("JacobLinCool/sdxl-lora-gdsc-1")
+    # pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
 else: 
     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
+    pipe.load_lora_weights("JacobLinCool/sdxl-lora-gdsc-1")
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
@@ -84,6 +86,7 @@ with gr.Blocks(css=css) as demo:
                 max_lines=1,
                 placeholder="Enter a negative prompt",
                 visible=False,
+                value="",
             )
             
             seed = gr.Slider(