TypeError: DiffusionPipeline.from_pretrained() got multiple values for argument 'pretrained_model_name_or_path'

[pinjiang]

Execute benchmark with Hydra CLI, Get Errors below. The config yaml is attached as .txt user@06d8461fae8f:/optimum-benchmark$ optimum-benchmark --config-dir ./examples --config-name diffusion_cuda.yaml

[MAIN-PROCESS][2024-05-16 15:20:19,735][backend][WARNING] - device_ids was not specified, using all available GPUs. [MAIN-PROCESS][2024-05-16 15:20:19,735][backend][WARNING] - device_ids is now set to 0 based on system configuration. [MAIN-PROCESS][2024-05-16 15:20:19,738][launcher][INFO] - Allocating process launcher [MAIN-PROCESS][2024-05-16 15:20:19,738][process][INFO] - + Setting multiprocessing start method to spawn. [ISOLATED-PROCESS][2024-05-16 15:20:22,982][process][INFO] - Running benchmark in isolated process [1087]. [ISOLATED-PROCESS][2024-05-16 15:20:22,995][backend][INFO] - Allocating pytorch backend [ISOLATED-PROCESS][2024-05-16 15:20:22,996][backend][INFO] - + Setting random seed to 42 /home/user/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True. warnings.warn( [ISOLATED-PROCESS][2024-05-16 15:20:26,341][pytorch][INFO] - + Using Diffusers Pipeline AutoPipelineForText2Image [ISOLATED-PROCESS][2024-05-16 15:20:26,341][pytorch][INFO] - + Creating backend temporary directory [ISOLATED-PROCESS][2024-05-16 15:20:26,349][pytorch][INFO] - + Loading model with pretrained weights [ISOLATED-PROCESS][2024-05-16 15:20:26,350][pytorch][INFO] - + Loading Diffusion Pipeline Process Process-1: Traceback (most recent call last): File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 64, in target report = worker(*worker_args) File "/optimum-benchmark/optimum_benchmark/base.py", line 60, in run backend: Backend = backend_factory(backend_config) File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 88, in init self.load_model_from_pretrained() File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 161, in load_model_from_pretrained self.pretrained_model = self.automodel_class.from_pretrained( File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/home/user/.local/lib/python3.10/site-packages/diffusers/pipelines/auto_pipeline.py", line 335, in from_pretrained return text_2_image_cls.from_pretrained(pretrained_model_or_path, **kwargs) File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) TypeError: DiffusionPipeline.from_pretrained() got multiple values for argument 'pretrained_model_name_or_path' diffusion_cuda.txt