runtime error

Exit code: 1. Reason: %|██████████| 551/551 [00:00<00:00, 5.54MB/s] Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet` diffusion_pytorch_model.safetensors: 0%| | 0.00/335M [00:00<?, ?B/s] diffusion_pytorch_model.safetensors: 100%|█████████▉| 335M/335M [00:00<00:00, 404MB/s] Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s] Loading pipeline components...: 29%|██▊ | 2/7 [00:02<00:07, 1.45s/it] Loading pipeline components...: 86%|████████▌ | 6/7 [00:05<00:00, 1.26it/s] Loading pipeline components...: 100%|██████████| 7/7 [00:05<00:00, 1.35it/s] pytorch_lora_weights.bin: 0%| | 0.00/3.29M [00:00<?, ?B/s] pytorch_lora_weights.bin: 100%|██████████| 3.29M/3.29M [00:00<00:00, 175MB/s] /usr/local/lib/python3.10/site-packages/diffusers/loaders/unet.py:212: FutureWarning: `load_attn_procs` is deprecated and will be removed in version 0.40.0. Using the `load_attn_procs()` method has been deprecated and will be removed in a future version. Please use `load_lora_adapter()`. deprecate("load_attn_procs", "0.40.0", deprecation_message) Traceback (most recent call last): File "/home/user/app/app.py", line 16, in <module> pipe.unet.load_attn_procs(model_path) File "/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/diffusers/loaders/unet.py", line 217, in load_attn_procs is_model_cpu_offload, is_sequential_cpu_offload = self._process_lora( File "/usr/local/lib/python3.10/site-packages/diffusers/loaders/unet.py", line 294, in _process_lora raise ValueError("PEFT backend is required for this method.") ValueError: PEFT backend is required for this method.

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