Instructions to use SupraLabs/Supra2-IMG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SupraLabs/Supra2-IMG with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SupraLabs/Supra2-IMG", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Integration to Diffusers
Hello there,
I am Sayak from the Diffusers team at Hugging Face.
I wanted to ask if you'd be interested in integrating Supra2 into Diffusers. We have dedicated agent instructions that could help ease the process.
Let me know, otherwise, congratulations on the release π€
Hey there!
Yes this sounds good. You can help us with it.
Greetings,
LH
I was asking if you would be interested in leading the integration. We'd be happy to work with you.
Sure! I will look into it .
Maybe you can give us some tips for beginning
This should be more than enough: https://huggingface.co/docs/diffusers/main/en/conceptual/contribution#ai-assisted-and-agentic-contributions.
An agent can usually one shot it and then we can iterate quickly to get it merged.
Thank you