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cswry / OSEDiff

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huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased'. Use `repo_type` argument if needed. #7

Open zelenooki87 opened 1 week ago

zelenooki87 commented 1 week ago

Hi, Thank you for wonderfull work. On windows system, this error is present during code execution:

python test_osediff.py -i input -o output --osediff_path preset/models/osediff.pkl --pretrained_model_name_or_path preset/models/stable-diffusion-2-1-base/ --ram_ft_path preset/models/DAPE.pth --ram_path preset/models/ram_swin_large_14m.pth
Traceback (most recent call last):
  File "C:\Users\Miki\OSEDiff\test_osediff.py", line 68, in <module>
    DAPE = ram(pretrained=args.ram_path,
  File "C:\Users\Miki\OSEDiff\ram\models\ram_lora.py", line 329, in ram
    model = RAMLora(**kwargs)
  File "C:\Users\Miki\OSEDiff\ram\models\ram_lora.py", line 109, in __init__
    self.tokenizer = init_tokenizer()
  File "C:\Users\Miki\OSEDiff\ram\models\utils.py", line 132, in init_tokenizer
    tokenizer = BertTokenizer.from_pretrained('/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased', local_files_only=True)
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\transformers\tokenization_utils_base.py", line 1770, in from_pretrained
    resolved_vocab_files[file_id] = cached_file(
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\transformers\utils\hub.py", line 409, in cached_file
    resolved_file = hf_hub_download(
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\huggingface_hub\utils\_validators.py", line 106, in _inner_fn
    validate_repo_id(arg_value)
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\huggingface_hub\utils\_validators.py", line 154, in validate_repo_id
    raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased'. Use `repo_type` argument if needed.

as a temporarily solution I use utils.py from your previous repo: https://github.com/cswry/SeeSR/blob/main/ram/models/utils.py

And everything works. :)

AIisCool commented 1 week ago

@zelenooki87 Are your results the same or better than SeeSR? Mine are much worse for some reason: https://github.com/cswry/OSEDiff/issues/9

paomian001 commented 1 week ago

Hi, Thank you for wonderfull work. On windows system, this error is present during code execution:

python test_osediff.py -i input -o output --osediff_path preset/models/osediff.pkl --pretrained_model_name_or_path preset/models/stable-diffusion-2-1-base/ --ram_ft_path preset/models/DAPE.pth --ram_path preset/models/ram_swin_large_14m.pth
Traceback (most recent call last):
  File "C:\Users\Miki\OSEDiff\test_osediff.py", line 68, in <module>
    DAPE = ram(pretrained=args.ram_path,
  File "C:\Users\Miki\OSEDiff\ram\models\ram_lora.py", line 329, in ram
    model = RAMLora(**kwargs)
  File "C:\Users\Miki\OSEDiff\ram\models\ram_lora.py", line 109, in __init__
    self.tokenizer = init_tokenizer()
  File "C:\Users\Miki\OSEDiff\ram\models\utils.py", line 132, in init_tokenizer
    tokenizer = BertTokenizer.from_pretrained('/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased', local_files_only=True)
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\transformers\tokenization_utils_base.py", line 1770, in from_pretrained
    resolved_vocab_files[file_id] = cached_file(
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\transformers\utils\hub.py", line 409, in cached_file
    resolved_file = hf_hub_download(
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\huggingface_hub\utils\_validators.py", line 106, in _inner_fn
    validate_repo_id(arg_value)
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\huggingface_hub\utils\_validators.py", line 154, in validate_repo_id
    raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased'. Use `repo_type` argument if needed.

as a temporarily solution I use utils.py from your previous repo: https://github.com/cswry/SeeSR/blob/main/ram/models/utils.py

And everything works. :)

Hello, I also encountered the same error May I ask where to download the pre trained model that tokenizer needs to load in untils.py? Did you download it on this page

paomian001 commented 1 week ago

Hi, Thank you for wonderfull work. On windows system, this error is present during code execution:

python test_osediff.py -i input -o output --osediff_path preset/models/osediff.pkl --pretrained_model_name_or_path preset/models/stable-diffusion-2-1-base/ --ram_ft_path preset/models/DAPE.pth --ram_path preset/models/ram_swin_large_14m.pth
Traceback (most recent call last):
  File "C:\Users\Miki\OSEDiff\test_osediff.py", line 68, in <module>
    DAPE = ram(pretrained=args.ram_path,
  File "C:\Users\Miki\OSEDiff\ram\models\ram_lora.py", line 329, in ram
    model = RAMLora(**kwargs)
  File "C:\Users\Miki\OSEDiff\ram\models\ram_lora.py", line 109, in __init__
    self.tokenizer = init_tokenizer()
  File "C:\Users\Miki\OSEDiff\ram\models\utils.py", line 132, in init_tokenizer
    tokenizer = BertTokenizer.from_pretrained('/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased', local_files_only=True)
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\transformers\tokenization_utils_base.py", line 1770, in from_pretrained
    resolved_vocab_files[file_id] = cached_file(
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\transformers\utils\hub.py", line 409, in cached_file
    resolved_file = hf_hub_download(
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\huggingface_hub\utils\_validators.py", line 106, in _inner_fn
    validate_repo_id(arg_value)
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\huggingface_hub\utils\_validators.py", line 154, in validate_repo_id
    raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased'. Use `repo_type` argument if needed.

as a temporarily solution I use utils.py from your previous repo: https://github.com/cswry/SeeSR/blob/main/ram/models/utils.py

And everything works. :)

Hello, I also encountered the same error May I ask where to download the pre trained model that tokenizer needs to load in untils.py? Did you download it on this page XX167F( `{)ACK%E`E$IX1O

liuyifan6613 commented 6 days ago

Hi, Thank you for wonderfull work. On windows system, this error is present during code execution:

python test_osediff.py -i input -o output --osediff_path preset/models/osediff.pkl --pretrained_model_name_or_path preset/models/stable-diffusion-2-1-base/ --ram_ft_path preset/models/DAPE.pth --ram_path preset/models/ram_swin_large_14m.pth
Traceback (most recent call last):
  File "C:\Users\Miki\OSEDiff\test_osediff.py", line 68, in <module>
    DAPE = ram(pretrained=args.ram_path,
  File "C:\Users\Miki\OSEDiff\ram\models\ram_lora.py", line 329, in ram
    model = RAMLora(**kwargs)
  File "C:\Users\Miki\OSEDiff\ram\models\ram_lora.py", line 109, in __init__
    self.tokenizer = init_tokenizer()
  File "C:\Users\Miki\OSEDiff\ram\models\utils.py", line 132, in init_tokenizer
    tokenizer = BertTokenizer.from_pretrained('/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased', local_files_only=True)
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\transformers\tokenization_utils_base.py", line 1770, in from_pretrained
    resolved_vocab_files[file_id] = cached_file(
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\transformers\utils\hub.py", line 409, in cached_file
    resolved_file = hf_hub_download(
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\huggingface_hub\utils\_validators.py", line 106, in _inner_fn
    validate_repo_id(arg_value)
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\huggingface_hub\utils\_validators.py", line 154, in validate_repo_id
    raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased'. Use `repo_type` argument if needed.

as a temporarily solution I use utils.py from your previous repo: https://github.com/cswry/SeeSR/blob/main/ram/models/utils.py And everything works. :)

Hello, I also encountered the same error May I ask where to download the pre trained model that tokenizer needs to load in untils.py? Did you download it on this page XX167F( {)ACK%EE$IX1O

注释\ram\models\utils.py 132行，使用131行的代码就可以了。

paomian001 commented 6 days ago

Hi, Thank you for wonderfull work. On windows system, this error is present during code execution:

python test_osediff.py -i input -o output --osediff_path preset/models/osediff.pkl --pretrained_model_name_or_path preset/models/stable-diffusion-2-1-base/ --ram_ft_path preset/models/DAPE.pth --ram_path preset/models/ram_swin_large_14m.pth
Traceback (most recent call last):
  File "C:\Users\Miki\OSEDiff\test_osediff.py", line 68, in <module>
    DAPE = ram(pretrained=args.ram_path,
  File "C:\Users\Miki\OSEDiff\ram\models\ram_lora.py", line 329, in ram
    model = RAMLora(**kwargs)
  File "C:\Users\Miki\OSEDiff\ram\models\ram_lora.py", line 109, in __init__
    self.tokenizer = init_tokenizer()
  File "C:\Users\Miki\OSEDiff\ram\models\utils.py", line 132, in init_tokenizer
    tokenizer = BertTokenizer.from_pretrained('/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased', local_files_only=True)
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\transformers\tokenization_utils_base.py", line 1770, in from_pretrained
    resolved_vocab_files[file_id] = cached_file(
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\transformers\utils\hub.py", line 409, in cached_file
    resolved_file = hf_hub_download(
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\huggingface_hub\utils\_validators.py", line 106, in _inner_fn
    validate_repo_id(arg_value)
  File "C:\Users\Miki\anaconda3\envs\osediff\lib\site-packages\huggingface_hub\utils\_validators.py", line 154, in validate_repo_id
    raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/home/notebook/data/group/LowLevelLLM/LLM/bert-base-uncased'. Use `repo_type` argument if needed.

as a temporarily solution I use utils.py from your previous repo: https://github.com/cswry/SeeSR/blob/main/ram/models/utils.py And everything works. :)

Hello, I also encountered the same error May I ask where to download the pre trained model that tokenizer needs to load in untils.py? Did you download it on this page XX167F( {)ACK%EE$IX1O

注释\ram\models\utils.py 132行，使用131行的代码就可以了。

谢谢 我下载了模型后就可以了