Update app.py

app.py

@@ -16,7 +16,7 @@ import numpy as np
 import traceback
 
 # ✅ NUEVO: importar optimización avanzada tipo Qwen-Image-MultipleAngles
-from optimization import optimize_pipeline_
+#from optimization import optimize_pipeline_
 
 # Load LoRAs from JSON file
 def load_loras_from_file():
@@ -62,6 +62,7 @@ pipe = DiffusionPipeline.from_pretrained(
     base_model, scheduler=scheduler, torch_dtype=dtype
 ).to(device)
 
+"""
 # ✅ NUEVO BLOQUE: aplicar AOT optimization (igual que Qwen-Image-MultipleAngles)
 try:
     example_args = (
@@ -78,6 +79,7 @@ try:
     print("✅ Transformer AOT optimization complete.")
 except Exception as e:
     print(f"⚠️ AOT optimization skipped: {e}")
+"""
 
 # Lightning LoRA info (no global state)
 LIGHTNING_LORA_REPO = "lightx2v/Qwen-Image-Lightning"