Update app.py

app.py

@@ -13,10 +13,11 @@ pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
 # Loading LoRA weights
 pipe.load_lora_weights("latent-consistency/lcm-lora-sdxl")
 
-# Convert the model to OpenVINO format
+# Converting the model to OpenVINO format
 pipeline = OVStableDiffusionXLPipeline.from_pretrained(
     model_id,
-    export=True
+    export=True,
+    framework="pt"
 )
 
 def generate_images(prompt, batch_size, num_inference_steps, guidance_scale):