Traceback (most recent call last):
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/main.py", line 461, in
model = instantiate_from_config(config.model)
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/main.py", line 137, in instantiate_from_config
return get_obj_from_str(config["target"])(config.get("params", dict()))
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/perfusion/perfusion.py", line 54, in init
super().init(*args, kwargs)
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/ldm/models/diffusion/ddpm.py", line 565, in init
self.instantiate_cond_stage(cond_stage_config)
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/ldm/models/diffusion/ddpm.py", line 640, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/ldm/util.py", line 175, in instantiate_from_config
return get_obj_from_str(config["target"])(config.get("params", dict()), *kwargs)
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/ldm/modules/encoders/modules.py", line 120, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/user/miniconda3/envs/perfusion_v1/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1841, in from_pretrained
return cls._from_pretrained(
File "/home/user/miniconda3/envs/perfusion_v1/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2004, in _from_pretrained
tokenizer = cls(init_inputs, init_kwargs)
File "/home/user/miniconda3/envs/perfusion_v1/lib/python3.10/site-packages/transformers/models/clip/tokenization_clip.py", line 334, in init
with open(vocab_file, encoding="utf-8") as vocab_handle:
TypeError: expected str, bytes or os.PathLike object, not NoneType
I creat the env
by
conda create --name perfusion_v1 python=3.10
conda install pytorch torchvision pytorch-cuda=11.7 -c pytorch -c nvidia
conda install xformers -c xformers
And pip follow page
Hi, I tried the command
but got the error below
Traceback (most recent call last): File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/main.py", line 461, in
model = instantiate_from_config(config.model)
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/main.py", line 137, in instantiate_from_config
return get_obj_from_str(config["target"])(config.get("params", dict()))
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/perfusion/perfusion.py", line 54, in init
super().init(*args, kwargs)
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/ldm/models/diffusion/ddpm.py", line 565, in init
self.instantiate_cond_stage(cond_stage_config)
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/ldm/models/diffusion/ddpm.py", line 640, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/ldm/util.py", line 175, in instantiate_from_config
return get_obj_from_str(config["target"])(config.get("params", dict()), *kwargs)
File "/data_heat/rjt_project/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/ldm/modules/encoders/modules.py", line 120, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/user/miniconda3/envs/perfusion_v1/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1841, in from_pretrained
return cls._from_pretrained(
File "/home/user/miniconda3/envs/perfusion_v1/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2004, in _from_pretrained
tokenizer = cls(init_inputs, init_kwargs)
File "/home/user/miniconda3/envs/perfusion_v1/lib/python3.10/site-packages/transformers/models/clip/tokenization_clip.py", line 334, in init
with open(vocab_file, encoding="utf-8") as vocab_handle:
TypeError: expected str, bytes or os.PathLike object, not NoneType
I creat the env by conda create --name perfusion_v1 python=3.10 conda install pytorch torchvision pytorch-cuda=11.7 -c pytorch -c nvidia conda install xformers -c xformers And pip follow page
Thanks