Hi @AuroraRyan0301 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2609.15659
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.
I saw on your Github README and project page that the inference code and pretrained weights for KaiNinja are planned to be released soon. That's great news!
Would you like to host the checkpoints on https://huggingface.co/models once they're ready?
Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags (e.g. image-to-3d) in the model cards so that people find the models easier, link them to the paper page, etc.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model which lets you upload the model and people to download and use models right away. Alternatively, people can also use hf_hub_download to download a checkpoint from the hub.
After uploading, we can also link the models to the paper page (read here) so people can discover your model.
You can also build a demo for your model on Spaces. ZeroGPU gives on-demand GPU-backed compute for demo Spaces, which would be a great fit for an interactive 3D generation demo like the one on your project page.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels
Hi @AuroraRyan0301 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2609.15659
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.
I saw on your Github README and project page that the inference code and pretrained weights for KaiNinja are planned to be released soon. That's great news!
Would you like to host the checkpoints on https://huggingface.co/models once they're ready?
Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags (e.g.
image-to-3d) in the model cards so that people find the models easier, link them to the paper page, etc.If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model which lets you upload the model and people to download and use models right away. Alternatively, people can also use hf_hub_download to download a checkpoint from the hub.After uploading, we can also link the models to the paper page (read here) so people can discover your model.
You can also build a demo for your model on Spaces. ZeroGPU gives on-demand GPU-backed compute for demo Spaces, which would be a great fit for an interactive 3D generation demo like the one on your project page.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels