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omnichar /OmniChar

Keeps one character file you reuse across AI image and video models
StoryboardGPL-3.0English README
Stars
465
30 days
+2
Last push
2 days ago
OmniChar screenshot from its README
From the OmniChar README on GitHub.

About OmniChar

Omnichar Studio is a free, open-source app for AI image and video generation. Build a character once, and the same face carries across shots and models. It saves that identity in a portable .char file, or trains a LoRA (a small add-on model) for you. Some hardware paths are untested, and hosted models need paid API keys.

Best for: Solo filmmakers and AI artists who need the same character to look right in every shot.

What it does

  • Saves a character's face, body and wardrobe into one portable .char file
  • Runs generation, LoRA training and video on a node canvas
  • Scores each take out of 100 and flags the worst frame in a clip
  • Trains LoRAs on your own GPU; finished files land in models/loras/
  • Runs local models on your GPU or hosted models through fal API nodes
  • Downloads the diffusion model, VAE and text encoder with progress shown

Quickstart

Rewritten from the README. Check the repo for the latest steps.

  1. 1
    Install Python 3.11+, then clone the repo: the command below
    git clone https://github.com/omnichar/OmniChar
  2. 2
    Go into the core folder: cd OmniChar/core
  3. 3
    Install the engine, runtime, trainer and UI: the command below (Windows: the next command)
    ./webui.sh --install --extra all
    .\webui.bat --install --extra all
  4. 4
    Start the web UI with ./webui.sh and open http://127.0.0.1:8848
  5. 5
    Or install from PyPI with the command below, then run inline-studio
    pip install -r requirements.txt

Models and languages

Models it works with

  • FLUX.2
  • FLUX.1 dev
  • Krea 2
  • Z-Image Turbo
  • MiniMax H3
  • LTX-2.5
  • Nano Banana Pro
  • Seedance 2.0

Interface and docs

  • English

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Reviewed Oct 1, 2026. We write these descriptions ourselves. The repo's own docs are the final word.