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Forget-C /Jellyfish

Storyboards and linked assets from chapter scripts
PlatformApache-2.0English README
Stars
6.6k
30 days
New
Last push
2 months ago

About Jellyfish

Jellyfish is a workspace for AI short dramas, from script to finished shots. It breaks chapter scripts into shots and pulls out characters, scenes, props and costumes. Those assets stay linked to each shot, so your lead looks the same across episodes. You run the whole stack yourself with Docker, MySQL and Redis.

Best for: Showrunners and small AI studios who want one place to handle script breakdown, asset consistency and shot generation.

What it does

  • Splits chapter scripts into shots and pulls out characters, scenes, props and dialogue
  • Walks each shot through preparation: refresh candidates, accept or ignore, mark ready
  • Keeps characters, actors, scenes, props and costumes in one shared list
  • Manages keyframes, reference images and video prompts per shot, one or in batch
  • Tracks every text, image and video job in one task center you can cancel
  • Manages providers, models and prompt templates

Quickstart

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

  1. 1
    Copy the compose env file: the command below
    cp deploy/compose/.env.example deploy/compose/.env
  2. 2
    Start the stack: the command below
    docker compose --env-file deploy/compose/.env -f deploy/compose/docker-compose.yml up --build
  3. 3
    Open the app at http://localhost:7788 and the API docs at http://localhost:8000/docs
  4. 4
    Backend dev: cd backend, cp .env.example .env, uv sync, then the command below
    uv run uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
  5. 5
    Frontend dev: cd front, pnpm install, then pnpm dev
  6. 6
    Regenerate API clients with the backend running: cd front, then pnpm run openapi:update

Models and languages

Interface and docs

  • English
  • Japanese

Head-to-head

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