Update app.py

app.py

@@ -30,8 +30,7 @@ if torch.cuda.is_available():
     )
     pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
     pipe.load_lora_weights('ntc-ai/SDXL-LoRA-slider.extremely-detailed', weight_name='extremely detailed.safetensors', adapter_name="extremely detailed")
-    pipe.load_lora_weights("ehristoforu/dalle-3-xl-v2", weight_name="dalle-3-xl-lora-v2.safetensors", adapter_name="dalle2")
-    pipe.set_adapters(["extremely detailed","dalle2"], adapter_weights=[1.0, 1.0])
+    pipe.set_adapters(["dalle2"]
     pipe.to("cuda")