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Release Radial Attention LoRA checkpoints for longer videos on Hugging Face #16

@NielsRogge

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@NielsRogge

Hi @Radioheading 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2506.19852.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance),
you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

It's great to see that you've already integrated and support the Wan2.1_14B_FusionX LoRA on the Hugging Face Hub! We also noticed in your open-source plan that you're planning to "Release LoRA checkpoints for longer-video generation".

Would you be interested in hosting these upcoming LoRA checkpoints on https://huggingface.co/models as well?
Hosting on Hugging Face will give you more visibility and enable better discoverability for your work. We can add tags in the model cards so that people find the models easier, link them to the paper page, etc.

If you're down, here's a guide: https://huggingface.co/docs/hub/models-uploading. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub to the model, allowing users to easily download and use your models. Alternatively, people can also use hf_hub_download to download specific files.

After upload, we can link these models to your paper page (read here) so people can easily discover your work.

You can also build a demo for your model on Spaces, and we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.

Let me know if you're interested or need any guidance :)

Kind regards,

Niels

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