Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How to use get_T2I_Flash_pipeline with kandinsky3.1 weights to inference in a single 40G A100 GPU or multiple gpus? #21

Open
EYcab opened this issue May 11, 2024 · 0 comments

Comments

@EYcab
Copy link

EYcab commented May 11, 2024

It seems your get_T2I_Flash_pipeline requires more than 40G memory in a A100 GPU when trying to inference.However,when I tried to load the model in 2*40G A100 GPU,it seems your codes has not supported it yet?

Could you provide a way to load this model with multiple gpus?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant