Update app.py

app.py

@@ -45,11 +45,12 @@ if torch.cuda.is_available():
         use_safetensors=True,
     )
     pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
-
+    pipe.to(device) 
+    
     pipe.load_lora_weights("ehristoforu/dalle-3-xl-v2", weight_name="dalle-3-xl-lora-v2.safetensors", adapter_name="dalle")
-    pipe.fuse_lora(lora_scale=0.8)
+    pipe.set_adapters("dalle")
+    
     
-    pipe.to(device) 
 
 @spaces.GPU(enable_queue=True)
 def generate(
@@ -78,6 +79,7 @@ def generate(
         guidance_scale=guidance_scale,
         num_inference_steps=25,
         num_images_per_prompt=1,
+        cross_attention_kwargs={"scale": 0.8},
         output_type="pil",
     ).images
     image_paths = [save_image(img) for img in images]