Release AVControl LoRA checkpoints on Hugging Face

[NielsRogge]

Hi Tavi Halperin (@tavihalperin) 🤗

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/2603.24793.
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.

Would you like to host the LoRA adapters you've pre-trained for the various modalities (depth, pose, camera control, audio intensity, etc.) on https://huggingface.co/models?
I saw in the paper that you've released these checkpoints. Hosting on Hugging Face will give you more visibility and enable better discoverability for the LTX-2 community. 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. Since these are LoRA adapters, they can be easily shared as standalone repositories. Users can then leverage hf_hub_download to pull the weights directly into their inference pipelines.

After uploaded, we can also link the models to the paper page (read here) so people can discover your work.

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.

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

Kind regards,

Niels

[tavihalperin]

Hi Niels, Thanks for the feedback and for reaching out. Regarding the GitHub link, we tried to add it, but since it's the same repository as LTX-2, the system didn't allow us to include it. Also, we already have some of the checkpoints hosted on Hugging Face. Some of the existing checkpoints are already on HF, we'll link them according to your guide Best, Tavi Halperin Tavi Halperin Researcher ✧ Bridging the gap between imagination and creation [image: photo] [image: facebook] <https://www.facebook.com/Lightricks.Global/> [image: instagram] <https://www.instagram.com/lightricks/> [image: linkedin] <https://www.linkedin.com/company/lightricks> [image: __tpx__]

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On Sat, Mar 28, 2026, 5:00 AM NielsRogge ***@***.***> wrote: *NielsRogge* created an issue (Lightricks/LTX-2#177) <#177> Hi Tavi Halperin ***@***.***) <https://github.com/tavihalperin> 🤗 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/2603.24793. 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. Would you like to host the LoRA adapters you've pre-trained for the various modalities (depth, pose, camera control, audio intensity, etc.) on https://huggingface.co/models? I saw in the paper that you've released these checkpoints. Hosting on Hugging Face will give you more visibility and enable better discoverability for the LTX-2 community. 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 <https://huggingface.co/docs/hub/models-uploading>. Since these are LoRA adapters, they can be easily shared as standalone repositories. Users can then leverage hf_hub_download <https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-file> to pull the weights directly into their inference pipelines. After uploaded, we can also link the models to the paper page (read here <https://huggingface.co/docs/hub/en/model-cards#linking-a-paper>) so people can discover your work. You can also build a demo for your model on Spaces <https://huggingface.co/spaces>, we can provide you a ZeroGPU grant <https://huggingface.co/docs/hub/en/spaces-gpus#community-gpu-grants>, which gives you A100 GPUs for free. Let me know if you're interested/need any guidance :) Kind regards, Niels — Reply to this email directly, view it on GitHub <#177?email_source=notifications&email_token=AARNNH3D2ZABR6VKTI3OIGD4S4W2JA5CNFSL4Z3JMQ5C6L3HNF2C22DVMIXUS43TOVSS6NBRGU3DSMZXGQYDBJTSMVQXG33OU5WWK3TUNFXW5JLFOZSW45FMMZXW65DFOJPWG3DJMNVQ>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AARNNH77JC5S7NE7L4SYBV34S4W2JAVCNFSM6AAAAACXCXAXUOVHI2DSMVQWIX3LMV43ASLTON2WKOZUGE2TMOJTG42DAMA> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[SekiroRong]

Hi Tavi Halperin, I'm also excited about the AVControl work. However, I’m wondering if all the remaining AVControl LoRA adapters mentioned in paper will be available.

It would be incredibly helpful for the community to access these LoRAs to reproduce the paper’s results and build new audio-visual generation applications based on LTX-2.3.

Thanks a lot for your hard work and the great open-source contribution! 😊

[NielsRogge]

Hi Tavi Halperin (@tavihalperin), thanks for your reply. We indeed don't support multiple papers linking to the same Github repo yet.

Alternatively, you could include it as a comment on the paper page.