[NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.
Use a single model to process both images and videos for generating visual content, improving efficiency in media projects.
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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.
[NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.
OmniTokenizer is an open-source project. It is released under the MIT license.
Yes. OmniTokenizer is free and open source — you can use, modify and self-host it.
OmniTokenizer is available under the MIT license.
OmniTokenizer is written mainly in Python.
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