runtime error
Exit code: 1. Reason: <00:01, 527MB/s][A diffusion_pytorch_model.safetensors: 100%|ββββββββββ| 3.44G/3.44G [00:06<00:00, 498MB/s] config.json: 0%| | 0.00/547 [00:00<?, ?B/s][A config.json: 100%|ββββββββββ| 547/547 [00:00<00:00, 3.67MB/s] diffusion_pytorch_model.safetensors: 0%| | 0.00/335M [00:00<?, ?B/s][A diffusion_pytorch_model.safetensors: 100%|ββββββββββ| 335M/335M [00:00<00:00, 341MB/s] Loading pipeline components...: 0%| | 0/6 [00:00<?, ?it/s][A Loading pipeline components...: 17%|ββ | 1/6 [00:01<00:06, 1.35s/it][A Loading pipeline components...: 100%|ββββββββββ| 6/6 [00:02<00:00, 2.77it/s] pytorch_lora_weights.safetensors: 0%| | 0.00/2.94M [00:00<?, ?B/s][A pytorch_lora_weights.safetensors: 100%|ββββββββββ| 2.94M/2.94M [00:00<00:00, 18.7MB/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 14, in <module> cn = LooseControlNet() File "/home/user/app/loosecontrol.py", line 113, in __init__ self.pipe.controlnet.load_attn_procs(loose_control_weights) 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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