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OmniTokenizer
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OmniTokenizer

[NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.

by FoundationVision · GitHub
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auto-regressive-modelimage-generationtokenizationMITPython
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Use a single model to process both images and videos for generating visual content, improving efficiency in media projects.

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2026-07-202026-08-31
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[NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.

OmniTokenizer has 325 stars on GitHub. It has been forked 8 times. OmniTokenizer is written mainly in Python. It has been in active development since 2024. OmniTokenizer is available under the MIT license. Its main topics are auto-regressive-model, image-generation, tokenization, vae.

Frequently asked questions

What is OmniTokenizer?

[NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.

Is OmniTokenizer open source?

OmniTokenizer is an open-source project. It is released under the MIT license.

Is OmniTokenizer free?

Yes. OmniTokenizer is free and open source — you can use, modify and self-host it.

What license does OmniTokenizer use?

OmniTokenizer is available under the MIT license.

What language is OmniTokenizer written in?

OmniTokenizer is written mainly in Python.

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