Hi @JayceonHo 馃
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/2602.10179.
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 released the IESBench dataset on https://huggingface.co/datasets! I noticed in your paper and leaderboard that you introduced an "Qwen-Image-Edit-Safe (Ours)" model as part of your training-free defense strategy. Would you be interested in hosting this pre-trained model checkpoint on https://huggingface.co/models?
Hosting your model on Hugging Face would give it more visibility and enable better discoverability. We can add tags to the model card so that people can find it more easily, link it to your paper page, etc.
If you're interested, here's a guide for uploading models: 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 methods, allowing users to easily download and use your model. Alternatively, people can also use hf_hub_download for direct file downloads.
After uploading, we can also link the model to your paper page (read here) to further enhance its discoverability.
You could 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
Hi @JayceonHo 馃
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/2602.10179.
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 released the IESBench dataset on https://huggingface.co/datasets! I noticed in your paper and leaderboard that you introduced an "Qwen-Image-Edit-Safe (Ours)" model as part of your training-free defense strategy. Would you be interested in hosting this pre-trained model checkpoint on https://huggingface.co/models?
Hosting your model on Hugging Face would give it more visibility and enable better discoverability. We can add tags to the model card so that people can find it more easily, link it to your paper page, etc.
If you're interested, here's a guide for uploading models: https://huggingface.co/docs/hub/models-uploading. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class, which adds
from_pretrainedandpush_to_hubmethods, allowing users to easily download and use your model. Alternatively, people can also use hf_hub_download for direct file downloads.After uploading, we can also link the model to your paper page (read here) to further enhance its discoverability.
You could 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