LibreAI / Video / ConsisID
// video Β· PKU-YuanGroup/ConsisID

ConsisID

Text-to-video that keeps identities consistent across every frame.

πŸ’Ž Hidden gemβ˜… 862 starsβ‘‚ 47 forksApache-2.0updated 2026-04
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

ConsisID is an open-source video project by PKU-YuanGroup (PKU-YuanGroup/ConsisID on GitHub). It has 862 GitHub stars and 47 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 14 April 2026.

GitHub stars
862
Forks
47
License
Apache-2.0
Last updated on GitHub
14 April 2026
Category
Video
Listing
Hidden gem β€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Read the project page

    See identity preservation in action.

  2. Check requirements

    Video models need strong GPUs.

  3. Install the code

    Set up per the README.

  4. Generate with identity

    Produce videos where faces stay consistent.

// features

Why people love it

Identity preservation

Faces stay consistent across frames.

Frequency decomposition

The core technical innovation.

CVPR 2025 Highlight

Recognized at a top vision venue.

Text to video

Describe the scene, get stable characters.

Open code

Apache 2.0 β€” research freely.

Character stability

No more morphing faces mid-clip.

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// run it

Run it yourself

  1. Step 1 β€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/PKU-YuanGroup/ConsisID.git
    cd ConsisID
  2. Step 2 β€” Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 β€” Run it

    Follow the project's launch command β€” Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Is ConsisID free for commercial use?

Apache 2.0 licensed β€” commercial use allowed with attribution.

How well does identity hold?

That is the paper's claim β€” test with your own subjects.

What GPU do I need?

Check the README for hardware requirements.

Can it preserve real people's faces?

It preserves identity signals β€” consider consent and deepfake ethics.

Where is the paper?

CVPR 2025 Highlight, linked from the project page.

// keep exploring

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// alternatives

Alternatives in Video

The most-starred other Video projects in the LibreAI catalogue β€” the realistic shortlist if ConsisID is not the right fit.

Get ConsisID

Free and open β€” grab the source, star the repo, and start creating.