PKU-YuanGroup/MagicTime

Health v2 · maintenance only

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1338 stars · 122 forks observed · 2026-08-28

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

MagicTime is a metamorphic time-lapse video generation pipeline built on diffusion-based text-to-video models, with a MagicAdapter, dynamic frame extraction, and a Magic Text-Encoder. It includes the ChronoMagic time-lapse video-text dataset and is the official implementation of a TPAMI 2025 paper.

Use cases

• generate time-lapse videos from text prompts
• generate metamorphic videos showing object transformations
• fine-tune a text-to-video model on time-lapse data
• download a time-lapse video-text dataset for training
• improve physical realism of generated videos
• research metamorphic video generation

When to choose

• you need text-to-video generation focused on time-lapse or metamorphic processes
• you want a curated time-lapse video-text dataset for training
• you are researching physical knowledge in video diffusion models

When to avoid

• you need general-purpose video editing or conventional video generation without metamorphism
• you lack GPU resources for diffusion model inference or training
• you need a production-ready end-user application rather than research code

Facets

library · maturity active

video-processing machine-learning deep-learning data-generation artificial-intelligence machine-learning media python text-to-video diffusion-models time-lapse metamorphic-video video-generation chronomagic-dataset open-sora-plan research-code video gpu linux

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