ArcReel vs Jellyfish

Two Platform projects side by side: what each one is for, what it runs on, and how active it is right now.

ArcReel

Forget-C

Jellyfish

In one line

Builds AI comic dramas and short videos from novels or scripts

Storyboards and linked assets from chapter scripts

Best for

Novel adaptation teams who want their own cost-tracked pipeline for short episodes.

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

GitHub stars

5.3k

6.6k

Stars, last 30 days

Collecting

Last push

today

2 months ago

Latest release

v0.31.0, Sep 23, 2026

v0.3.2, Apr 17, 2026

Forks

1k forks

1.1k forks

License

AGPL-3.0AGPL-3.0: you can use and change this code, but if you share your version, it has to be open source under AGPL-3.0 too. That applies even if you only run it as a website.

Apache-2.0Apache-2.0: you can use and change this code, even in paid products. Just keep the license file.

Models

MiniMax H3

Not listed

Languages

Chinese README; UI in Chinese, English

English README; UI in English, Japanese

Features

Turns novels, scripts or product photos into characters, scenes and storyboards
Reuses the same reference photos across shots so faces stay consistent
Shows cost and usage before and after each generation
Exports Jianying (CapCut China) drafts for subtitles, dubbing and pacing
Runs stages as agent jobs you can pause, resume and confirm by hand
Installs with Docker Compose; SQLite by default, PostgreSQL documented

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

Setup

6 steps

Which one to pick