Release PhotoAgent artifacts (models, dataset) on Hugging Face

[NielsRogge]

Hi @mdyao 🤗

Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2602.22809.

The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo 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 in your GitHub README that the code, checkpoints (like the aesthetic reward model), and the UGC-Edit dataset are "coming soon". It'd be great to make these artifacts available on the 🤗 hub to improve their discoverability and visibility. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

Uploading models

See here for a guide: https://huggingface.co/docs/hub/models-uploading.

In this case, you could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverage the hf_hub_download one-liner to download a checkpoint from the hub.

Uploading dataset

Would be awesome to make the UGC-Edit dataset available on 🤗, so that people can do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/ugc-edit")

See here for a guide: https://huggingface.co/docs/datasets/loading.

Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.

Let me know if you're interested or need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗