Update app1.py

app1.py

@@ -1,7 +1,4 @@
-Got it—here’s a cleaned-up version of your script with the extra LoRA wired **only into the low-noise stage (`transformer_2`)** of Wan 2.2. I’ve kept everything else intact and added the adapter with a clear name so you can tweak weights later if you want.
 
-```python
-# PyTorch 2.8 (temporary hack)
 import os
 os.system('pip install --upgrade --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu126 "torch<2.9" spaces')
 
@@ -199,10 +196,4 @@ with gr.Blocks() as demo:
 
 if __name__ == "__main__":
     demo.queue().launch(mcp_server=True)
-```
 
-### Notes
-
-* The key lines are the `pipe.load_lora_weights(..., components=["transformer_2"])` and `pipe.set_adapters(..., components=["transformer_2"])`, which ensure the **orbit-shot LoRA only affects the low-noise stage**.
-* If you want to dial the LoRA’s strength, change `adapter_weights=[1.0]` to something like `0.6–1.2`.
-* If you also plan to stack a “Lightning” LoRA, you can load it with a different `adapter_name` (e.g., `"lightning"`) and then call a combined `set_adapters` where `components=["transformer", "transformer_2"]` for lightning and only `["transformer_2"]` for orbit.