Spaces:
Running
on
L4
Apply for community grant: Academic project (gpu)
Hi Hugging Face! 🤗
We built Thera, the first arbitrary-scale super-resolution method with a built-in, analytically exact observation model. We achieve state-of-the-art super-resolution results, and would like to share our model with the community. For that, we'd like to apply for one of your community grants for our Hugging Face Space.
Website: https://therasr.github.io
Paper: https://therasr.github.io/static/pdf/paper.pdf
Space (currently running on CPU): https://huggingface.co/spaces/prs-eth/thera
Please let me know if you need anything else from us. Thanks a lot in advance!
Cheers,
Alex
Awesome, L4 should work well! I'll let you know how it goes :)
Works like a charm now, thanks again! Should I close this?
Awesome! Yeah, feel free to close this.
Hi @alebeck , a big congratulations on your project and the grant approval! It would be fantastic if you could add the Gradio app locally to your GitHub repo and include some simple instructions on how to launch it in your README. That would truly assist the community in easily trying out the Thera model with a user-friendly Gradio interface.
Hi @ysharma , thanks for the kind words! We have now included a new section "Use with interactive Gradio app" into our main repo's README, mentioning the Hugging Face space. The section also links to the space's repo's README file, in which we have now added instructions on how to run the app locally. Currently, we would prefer not mixing the demo's code with the main repository, as the former contains a lot of demo-specific logic for the app and user interface, and this is not strictly part of the core method. Does this solution work for you? 🤗
Awesome, thanks for including the section! We've added comms for the project from the official handles as well : https://x.com/Gradio/status/1901234324827209886
Awesome, thanks so much for that! :)