MagicTime

Open-source text-to-video research model for realistic time-lapse sequences.

Open Source Coding & Development

What is MagicTime?

MagicTime is an open-source research project from PKU-Yuan Lab that extends video diffusion models to generate realistic time-lapse, metamorphic videos from text prompts — such as blooming flowers or changing seasons. It ships with the ChronoMagic training dataset and benchmark suite, and free demos run on Hugging Face Spaces and Replicate.

Key features

  • Text-prompted metamorphic time-lapse video generation
  • ChronoMagic dataset and ChronoMagic-Bench
  • Apache 2.0 open source
  • Free demos on Hugging Face and Replicate

Pros

  • Fully open source and research-backed
  • Fills a niche: time-lapse transformation video
  • Free to run and modify

Cons

  • Research demo, not a polished product
  • Needs technical skill to self-host

MagicTime at a glance

PricingOpen Source
CategoryCoding & Development
Platformsweb, api
Official websitegithub.com
open sourcevideo generationresearchtime-lapse

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MagicTime FAQs

What is MagicTime?

MagicTime is an open-source research project from PKU-Yuan Lab that extends video diffusion models to generate realistic time-lapse, metamorphic videos from text prompts — such as blooming flowers or changing seasons. It ships with the ChronoMagic training dataset and benchmark suite, and free demos run on Hugging Face Spaces and Replicate.

What are the main features of MagicTime?

MagicTime offers Text-prompted metamorphic time-lapse video generation, ChronoMagic dataset and ChronoMagic-Bench, Apache 2.0 open source and Free demos on Hugging Face and Replicate.

How much does MagicTime cost?

MagicTime is open source, so the software itself is free to download, use and self-host. Your only costs are the infrastructure you run it on and any paid services you connect to it.

What are the pros and cons of MagicTime?

Strengths of MagicTime include Fully open source and research-backed; Fills a niche: time-lapse transformation video; Free to run and modify. On the downside, Research demo, not a polished product; Needs technical skill to self-host.