LongLive-RAG
Official Implementation of LongLive-RAG: A general retrieval-augmented framework for long video generation.
Generate long videos by using past video frames as context to improve quality and reduce errors.
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Free · no card · unsubscribe anytimeOfficial Implementation of LongLive-RAG: A general retrieval-augmented framework for long video generation.
LongLive-RAG has 108 stars on GitHub. It has been forked 2 times. LongLive-RAG is written mainly in Python. It has been in active development since 2026. LongLive-RAG is available under the Apache-2.0 license. Its main topics are autoregressive, diffusion-models, generative-ai, long-video-generation.
What is LongLive-RAG?
Official Implementation of LongLive-RAG: A general retrieval-augmented framework for long video generation.
Is LongLive-RAG open source?
LongLive-RAG is an open-source project. It is released under the Apache-2.0 license.
Is LongLive-RAG free?
Yes. LongLive-RAG is free and open source — you can use, modify and self-host it.
What license does LongLive-RAG use?
LongLive-RAG is available under the Apache-2.0 license.
What language is LongLive-RAG written in?
LongLive-RAG is written mainly in Python.
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