OSError: CompVis/stable-diffusion-v1-4 does not appear to have a file named config.json.

When using SD Diffusers, I got errors when running this line

text_encoder = CLIPTextModel.from_pretrained( 'CompVis/stable-diffusion-v1-4', subfolder="text_encoder", use_auth_token=True ),

where the error is

OSError: CompVis/stable-diffusion-v1-4 does not appear to have a file named config.json.

Any idea on why this happens?

Faced this issue myself. Your version of transformers package is probably old and does not recognise subfolder parameter.
Not related to this repo though.

+1
Following the guide https://github.com/huggingface/diffusers/tree/main/examples/textual_inversion I also run into that error.

Im using transformers from pip... so.... its waiting till they release a new version?

already fixed at least in 4.22.1

You're right!
The conda env has transformers version pinned to 4.19.2. Updated and solved :)

so what should we do if we face this error?

Say not today and upgrade transformers.

For me the case was that I had the environment already setup and transformers was pinned to 4.19 in the requirements.txt

So I just edited the requirements.txt and set transformers to at least 4.22.1 then run pip install -r requirements.txt, that did the trick for me

fwiw im getting this error with transformers 4.27.1

Also having issues on the latest version

Still happening as of 27 May with latest transformers version.

Also having the same issues on transformers==4.36.0 cuda==11.6 pytorch==1.12.0. Does anyone have a solution?

meet in 4.37.1

meet in 4.37.1

meet too! 4.37.1 do you solve this problem?

me too in 4.31.

same for 4.39.1

This can be internet issues, the below solved for me, run this in command line:
HF_ENDPOINT=https://hf-mirror.com python # Or just add this before your xx.py and ignore the rest.

Then run the code to cache the model(change the model card name to what you need)
text_encoder = CLIPTextModel.from_pretrained( 'CompVis/stable-diffusion-v1-4', subfolder="text_encoder", use_auth_token=True )
Now run you code.
Env:

diffusers == 0.27.1
accelerate == 0.28.0
transformers == 4.35.2

I met this error when I use "stabilityai/stablelm-2-1_6b", because I build a folder with the path "stabilityai/stablelm-2-1_6b", which will guide transformers package to load model from the local folder. After removing the folder, the error disappears.

In my case, upgrading the transformers version did not resolve the issue, so I focused on the 'subfolder="unet"' parameter.
Originally, the code was written as :
UNet2DConditionModel.from_pretrained(config["stable_diffusion_path"])
I modified it to:
UNet2DConditionModel.from_pretrained(config["stable_diffusion_path"], subfolder="unet")
After this change, I cleared the Hugging Face cache using the following command:
rm -rf ~/.cache/huggingface/hub
Then, I ran the original file I was trying to execute. This approach proved effective in resolving the issue.

For me, I updated:

UNet2DConditionModel.from_pretrained(model_id)
to
UNet2DConditionModel.from_pretrained(model_id, subfolder="unet")

and

DDPMScheduler.from_pretrained(model_id)
to
DDPMScheduler.from_pretrained(model_id, subfolder="scheduler")

This worked for me.

I try to download the model using huggingface-cli in Windows powershell, and change coda as vae = AutoencoderKL.from_pretrained(path, subfolder="vae", use_safetensors=True), it is successful. my env is transformers==4.49.0

noise_scheduler = DDPMScheduler.from_pretrained(
args.pretrained_model_name_or_path, subfolder="scheduler"
)
then
OSError: CompVis/stable-diffusion-v1-4 does not appear to have a file named scheduler_config.json.

is anyone solved it?

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OSError: CompVis/stable-diffusion-v1-4 does not appear to have a file named config.json. #302

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