Cannot use SD 1.5 and SD 2.1 models

[SoftologyPro]

If I try and use SD 1.5 with
python text2image_xl.py --pretrained_model_name_or_path runwayml/stable-diffusion-v1-5 --validation_prompt "roses in the rain" --seed 1500289018 --config .\configs\sd1.5_2048x2048.yaml --logging_dir logs
I get the error
OSError: Can't load tokenizer for 'runwayml/stable-diffusion-v1-5'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'runwayml/stable-diffusion-v1-5' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

If I try and use SD 2.1 with
python text2image_xl.py --pretrained_model_name_or_path stabilityai/stable-diffusion-2-1-base --validation_prompt "roses in the rain" --seed 470116415 --config .\configs\sd2.1_2048x2048.yaml --logging_dir logs
I get the error
OSError: Can't load tokenizer for 'stabilityai/stable-diffusion-2-1-base'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'stabilityai/stable-diffusion-2-1-base' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

If I try and use SD XL with
python text2image_xl.py --pretrained_model_name_or_path stabilityai/stable-diffusion-xl-base-1.0 --validation_prompt "roses in the rain" --seed 694038880 --config .\configs\sdxl_2048x2048.yaml --logging_dir logs
it works fine.

What am I missing to use the 1.5 and 2.1 models?

[ssyang1999]

Hi. Could you please try to download the SD 1.5 and SD 2.1 checkpoints to your local device and use a local directory? Maybe the huggingface repo name given here is no longer valid.

For example, download SD 1.5 weights:
git-lfs clone https://huggingface.co/runwayml/stable-diffusion-v1-5

[SoftologyPro]

OK, so I do a full clone of the 1.5 and 2.1 huggingface model repositories.
What local directory name should I use?

[ssyang1999]

For example, now the directory of cloned SD 1.5 is /data/weights/stable-diffusion-v1-5. Then you can use the absolute directory /data/weights/stable-diffusion-v1-5 to set the parameter --pretrained_model_name_or_path.

[SoftologyPro]

I created ran these 2 commands under the models subdirectory

git clone https://huggingface.co/runwayml/stable-diffusion-v1-5
git clone https://huggingface.co/stabilityai/stable-diffusion-2-1-base

and changed the parameter to
--pretrained_model_name_or_path models/stable-diffusion-v1-5
but I still get
OSError: Can't load tokenizer for 'models/stable-diffusion-v1-5'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'models/stable-diffusion-v1-5' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.
That is the right path now.
Also the clones take up 158 GB worth of files. Do we really need all of that? Or are there only a few files from both required?