runtime error

Exit code: 1. Reason: s, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 . The new embeddings will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False` Traceback (most recent call last): File "/home/user/app/app.py", line 166, in <module> lazy_pipe.load() File "/home/user/app/app.py", line 52, in wrapper result = func(*args, **kwargs) File "/home/user/app/app.py", line 76, in load self.pipe = self.setup_pipeline() File "/home/user/app/app.py", line 52, in wrapper result = func(*args, **kwargs) File "/home/user/app/app.py", line 104, in setup_pipeline pipe.load_lora_weights("models/Lora/SDXLrender_v2.0.safetensors") File "/usr/local/lib/python3.10/site-packages/diffusers/loaders/lora_pipeline.py", line 129, in load_lora_weights self.load_lora_into_unet( File "/usr/local/lib/python3.10/site-packages/diffusers/loaders/lora_pipeline.py", line 303, in load_lora_into_unet unet.load_attn_procs( 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 215, 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 355, in _process_lora incompatible_keys = set_peft_model_state_dict(self, state_dict, adapter_name, **peft_kwargs) File "/usr/local/lib/python3.10/site-packages/peft/utils/save_and_load.py", line 458, in set_peft_model_state_dict load_result = model.load_state_dict(peft_model_state_dict, strict=False, assign=True) TypeError: Module.load_state_dict() got an unexpected keyword argument 'assign'

Container logs: