google-research/magvit

Health v2 · maintenance only

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1000 stars · 47 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official JAX implementation of MAGVIT, a masked generative video transformer from a CVPR 2023 paper by Google Research and CMU. It provides code and pretrained models for a single model that handles many video synthesis tasks including prediction, interpolation, inpainting, outpainting, and text-to-video generation.

Use cases

• generate videos from text prompts
• predict future video frames
• interpolate between video frames
• inpaint or outpaint videos
• convert images to animation
• research video generation transformers in JAX

When to choose

• you need a research-grade JAX codebase for masked generative video modeling
• you want pretrained models for multi-task video synthesis like prediction, interpolation, and inpainting
• you are reproducing CVPR 2023 MAGVIT benchmark results

When to avoid

• you need a production-ready or actively maintained video generation tool
• you prefer PyTorch rather than JAX
• you need simple APIs without deep learning research expertise

Facets

library · maturity maintenance

machine-learning deep-learning video-processing image-processing transformers deep-learning computer-vision artificial-intelligence python jax video-generation video-tokenizer masked-generative-model research-code cvpr-2023 text-to-video frame-prediction inpainting outpainting video gpu linux

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