Update app.py

app.py

@@ -46,34 +46,6 @@ pipe = WanPipeline.from_pretrained(MODEL_ID,
     torch_dtype=torch.bfloat16,
 ).to('cuda')
 
-# load, fuse, unload before compilation
-# pipe.load_lora_weights(
-#    "vrgamedevgirl84/Wan14BT2VFusioniX", 
-#    weight_name="FusionX_LoRa/Phantom_Wan_14B_FusionX_LoRA.safetensors", 
-#     adapter_name="phantom"
-# )
-
-# pipe.set_adapters(["phantom"], adapter_weights=[0.95])
-# pipe.fuse_lora(adapter_names=["phantom"], lora_scale=1.0)
-# pipe.unload_lora_weights()
-
-
-# pipe.load_lora_weights(
-#    "vrgamedevgirl84/Wan14BT2VFusioniX", 
-#    weight_name="FusionX_LoRa/Phantom_Wan_14B_FusionX_LoRA.safetensors", 
-#     adapter_name="phantom"
-# )
-# kwargs = {}
-# kwargs["load_into_transformer_2"] = True
-# pipe.load_lora_weights(
-#    "vrgamedevgirl84/Wan14BT2VFusioniX", 
-#    weight_name="FusionX_LoRa/Phantom_Wan_14B_FusionX_LoRA.safetensors", 
-#     adapter_name="phantom_2", **kwargs
-# )
-# pipe.set_adapters(["phantom", "phantom_2"], adapter_weights=[1., 1.])
-# pipe.fuse_lora(adapter_names=["phantom"], lora_scale=3., components=["transformer"])
-# pipe.fuse_lora(adapter_names=["phantom_2"], lora_scale=1., components=["transformer_2"])
-# pipe.unload_lora_weights()
 
 for i in range(3): 
     gc.collect()