Hi @SempraETY 🤗
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/2604.12322.
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, and add GitHub and project page URLs.
I saw on your GitHub repository that you have open-source plans to release the APEX-v0 checkpoints for Z-Image and Qwen-Image-2512. Would you like to host these models on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards (like text-to-image) so that people find the models easier and link them directly to the paper page. Since your inference demo already mentions the diffusers library, hosting the weights on the Hub would allow users to load them directly and seamlessly.
If you're interested, I'm 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 functionality. Alternatively, people can use hf_hub_download to fetch the weights.
You can also build a demo for your model on Spaces; we can provide you a ZeroGPU grant, which gives you A100 GPUs for free to power it.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @SempraETY 🤗
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/2604.12322.
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, and add GitHub and project page URLs.
I saw on your GitHub repository that you have open-source plans to release the APEX-v0 checkpoints for Z-Image and Qwen-Image-2512. Would you like to host these models on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards (like
text-to-image) so that people find the models easier and link them directly to the paper page. Since your inference demo already mentions thediffuserslibrary, hosting the weights on the Hub would allow users to load them directly and seamlessly.If you're interested, I'm leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubfunctionality. Alternatively, people can use hf_hub_download to fetch the weights.You can also build a demo for your model on Spaces; we can provide you a ZeroGPU grant, which gives you A100 GPUs for free to power it.
Let me know if you're interested or need any guidance!
Kind regards,
Niels