How is running locally requiring your tokenized access to ckpt file ? Is that really local ? How is that local ?

Describe the bug

this crap https://discuss.huggingface.co/t/how-to-login-to-huggingface-hub-with-access-token/22498/5

So… just let us use our own path to our folders and ckpt file ok ? Like a local thing you know ?

Reproduction

try it on miniconda, good luck !!!

Logs

none

System Info

win10 miniconda ldm env

[patrickvonplaten]

Hey @ExponentialML,

Thanks a lot for the feedback here - I think we haven’t done a great job at showing how to easily download this model and run it locally. It’s literally as easy as doing:

git lfs install
git clone https://huggingface.co/CompVis/stable-diffusion-v1-4

Followed by:

generator = DiffusionPipeline.from_pretrained("./stable-diffusion-v1-4")

-> no need for an authentication token or cache or whatsoever. It’s also explained here: https://huggingface.co/docs/diffusers/quicktour

Given that you’re not the first to mention this problem, I’ll open an issue now about providing better documentation.

[Inkorak]

You’re can run locally.

pipe = StableDiffusionPipeline.from_pretrained('path to weights on your computer')
pipe = pipe.to("cuda")