Update app.py

app.py

@@ -254,6 +254,25 @@ pipe.fuse_lora()
 print("lightning lora fused.")
 
 
+
+# 2. download and load the mcnl lora
+print("downloading qwen_mcnl_v1.0...")
+try:
+    # the file is buried deep, so we fetch it by exact path
+    lora_path = hf_hub_download(
+        repo_id="Chroma111/CivitAI-Archive-2", 
+        filename="1851673/2105899/qwen_MCNL_v1.0.safetensors"
+    )
+    
+    # load it into the pipeline
+    pipe.load_lora_weights(lora_path)
+    pipe.fuse_lora(lora_scale=1.0) # bake it in
+    print("mcnl lora loaded and fused.")
+    
+except Exception as e:
+    print(f"failed to load mcnl lora: {e}")
+
+
 # # Apply the same optimizations from the first version
 # pipe.transformer.__class__ = QwenImageTransformer2DModel
 # pipe.transformer.set_attn_processor(QwenDoubleStreamAttnProcessorFA3())