Usage quota exceeded

[CaioXapelaum]

when i try to use a space, it gives me an error saying “You have exceeded your GPU quota (59s left vs. 120s requested). Sign-up on Hugging Face to get more quotas or retry in 5:03:25”, but im already signed-up, it started after i bought PRO today

[John6666]

It hasn’t worked for six months now. It’s often a problem on the forums. I’m aware of two recent cases.
I’m not sure if it’s a bug or a spec.

Exceeded GPU quota via API , but fine interactively

I’ve a pro account and I have created a space using Gradle, and GPU. It works fine interactively, but when I connect to my space via Gradle API then, after a few requests, I get: You have exceeded your GPU quota (60s requested vs. 58s left). Create a free account to get more usage quota. Can I somehow pass my credentials via the API in order to resolve this? I need to use an API to test the space I’ve created. Thanks in advance.

Learn About GPU Throttling Quota (Another Stupid Guy) :D

Dear Hugging Face Community! First of all, thank you for all your services and for your efforts to democratize artificial intelligence. I’m currently fascinated by image generation, especially with models like “DALLE 3 XL v2” and “Fluently XL v4”. I indeed confirm that it is really not safe to use for work. That said, I must admit that as a child I preferred playing with dolls to be with the girls, rather than playing with cars and computers; which partly e…

[eternalBlissard]

@CaioXapelaum I am also facing the same issue, how did you resolve it?

[KateWinslet]

@CaioXapelaum

when i try to use a space, it gives me an error saying “You have exceeded your GPU quota (59s left vs. 120s requested). Sign-up on Hugging Face to get more quotas or retry in atfbooru 5:03:25”, but im already signed-up, it started after i bought PRO today

This could be due to a delay in updating your quota after the upgrade, or you might have already reached the Pro plan’s GPU limit, which is still capped. Check your usage on the account page to ensure you’re within limits. If everything seems correct, try reducing your task’s resource requirements or logging out and back in to resync your account. If the issue persists, contacting Hugging Face support for assistance might resolve the problem.

[John6666]

Forgot to correct this post. I was wrong all along, but it looks like the following sign-in button is all that is needed to mitigate Quota in the Zero GPU space.
I put this on my space and it now has quota mitigation.
The solution for other people’s spaces that don’t have this button is unknown at this time.

Sign in with Hugging Face

[eternalBlissard]

How to check this usage? Please guide me

[frostbyte07]

I got it to work!!!

• I duplicated the black-forest-labs/FLUX.1-dev (!!!Important!!! Go to their Model Card Page and get access granted to their gated model first. Then you can duplicate the model)
• Set the environment variables:
  HF_TOKEN =Use your HF_token (I used read and write credentials for this)
  ZEROGPU_V2=true
  ZERO_GPU_PATCH_TORCH_DEVICE=1

Then in your own (duplicated) space:

• Navigate to the Files
• Click on app.py
• Change

@spaces.GPU(duration=75)  # The duration max value can be 120 but this wasn't enough and still didn't work for me

to

@spaces.GPU()

Make sure in your python code that uses the gradio_client python library your HF_TOKEN is set in the environment or you set the parameter hf_token when creating the client
example:

from gradio_client import Client 
 client = CLIENT("your_duplicated_space/FLUX.1-dev", hf_token=os.getenv("HF_TOKEN"))

Basically, anywhere the decorator @spaces.GPU is being set you are being limited by the spaces owner. You can then duplicate/clone it and make your changes for your own space .