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# Video2LoRA
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<div align="center">
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Video2LoRA trains a hypernetwork that converts a video into LoRA weights for a
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frozen vision-language model. The generated adapter lets the model answer later
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text prompts without feeding the video tokens again.
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# Video2LoRA: Parametric Video Internalization for Vision-Language Models
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Official PyTorch implementation of **Video2LoRA**
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[**Manan Suri**](https://manansuri.com/) · [**Sarvesh Baskar**](https://orcid.org/0009-0006-3831-6811) · [**Dinesh Manocha**](https://www.cs.umd.edu/people/dmanocha)
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*University of Maryland, College Park*
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[](https://video2lora.github.io/)
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[](https://arxiv.org/abs/2606.04351)
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[](https://huggingface.co/MananSuri27/Video2LoRA-SmolVLM-ckpts)
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[](LICENSE)
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---
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### [Install](#install) • [Checkpoints](#checkpoints) • [Inference](#inference) • [Data Format](#data-format) • [Training](#train)
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<p align="center">
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<img src="assets/video2lora-animated-diagram.svg" alt="Animated Video2LoRA method diagram" width="900">
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</p>
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</div>
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Video2LoRA trains a hypernetwork that converts a video into LoRA weights for a frozen vision-language model. The generated adapter lets the model answer later text prompts without feeding the video tokens again.
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## Install
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Install `uv`.
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