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I'm Niels from the open-source team at Hugging Face. I discovered your work "Counting Guidance for High Fidelity Text-to-Image Synthesis" on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
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 noticed your counting network checkpoint is currently hosted on Google Drive. Would you consider hosting it on the Hugging Face Hub? This would significantly improve its visibility and discoverability within the AI community. We can add appropriate tags to the model card, link it to your paper, and make it easily accessible for others to use.
Hi @kevingalim 🤗
I'm Niels from the open-source team at Hugging Face. I discovered your work "Counting Guidance for High Fidelity Text-to-Image Synthesis" on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
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 noticed your counting network checkpoint is currently hosted on Google Drive. Would you consider hosting it on the Hugging Face Hub? This would significantly improve its visibility and discoverability within the AI community. We can add appropriate tags to the model card, link it to your paper, and make it easily accessible for others to use.
Here's a guide for uploading models: https://huggingface.co/docs/hub/models-uploading. For custom PyTorch models, the
PyTorchModelHubMixin
class can simplify the process by addingfrom_pretrained
andpush_to_hub
methods: https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin. If you prefer a more direct upload method,hf_hub_download
is also available: https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-file.Let me know if you're interested or need any assistance with the process!
Kind regards,
Niels
ML Engineer @ HF 🤗
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