Update app.py

app.py

@@ -37,12 +37,12 @@ t2i_transformer = LongCatImageTransformer2DModel.from_pretrained(
     use_safetensors=True
 ).to(device)
 
-t2i_pipe = LongCatImagePipeline.from_pretrained(
+pipe = LongCatImagePipeline.from_pretrained(
     t2i_model_id,
     transformer=t2i_transformer,
     text_processor=t2i_text_processor,
 )
-t2i_pipe.to(device, torch.bfloat16)
+pipe.to(device, torch.bfloat16)
 
 print(f"✅ Text-to-Image model loaded successfully")
 
@@ -120,7 +120,7 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidan
         load_lora_auto(pipe, lora_id)
     
     try:
-        image = t2i_pipe(
+        image = pipe(
         prompt=prompt,
         negative_prompt="",
         width=width,