Release PDD checkpoints on Hugging Face

Hi @julberner 🤗

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/2607.26004
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 project page and in the FastGen repository that the code and distilled checkpoints are coming soon. Would you like to host the PDD checkpoints (e.g., PDD-LTX-2.3, PDD-Wan2.1-14B, PDD-Qwen-Image) on https://huggingface.co/models once they are released?
Hosting on Hugging Face will give you more visibility/enable better discoverability. 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, 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.

We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. After uploading, we can also link the models to the paper page (read here) so people can discover your models.

You can also build a demo for your model on Spaces. ZeroGPU gives on-demand GPU-backed compute for demo Spaces.

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

Kind regards,

Niels

Start with the Hugging Face model-uploading guide and the FastGen repository or project page to confirm when the PDD checkpoints are released. Done means the listed checkpoints—PDD-LTX-2.3, PDD-Wan2.1-14B, and PDD-Qwen-Image—are hosted in separate Hugging Face model repositories and can be linked to the paper page.