Update app.py

app.py

@@ -24,7 +24,7 @@ def generate_image(image, prompt, guidance_scale, num_steps, lora_name):
     # Load and fuse base LoRA weights
     
     # Load selected LoRA effect if not using the pretrained base model
-    if args.lora_name != 'pretrained':
+    if lora_name != 'pretrained':
         pipeline.load_lora_weights("nicolaus-huang/PhotoDoodle", weight_name=f"{lora_name}.safetensors")
     
     height=768