AI-Assisted Manga Creation: A Workflow for Non-Artists

Making manga has always required years of artistic training — a barrier that has kept countless storytellers from the medium. This paper asks whether generative AI can change that. I developed and tested a five-stage production pipeline that combines large language models for narrative writing with diffusion-based image synthesis for visuals, covering everything from initial story concept through to finished page layout. To validate the approach, I produced a complete five-page manga chapter from scratch — using ChatGPT (OpenAI, 2023), Stable Diffusion (Stability AI, 2022), Midjourney (Midjourney, 2023), and Clip Studio Paint — without any formal drawing training. The results are genuinely encouraging: production time fell dramatically compared to conventional methods, and three independent readers found the chapter coherent and visually engaging. That said, keeping characters visually consistent across panels remained a real struggle, and the emotional depth that comes from a skilled human artist's hand is not something current tools can fully replicate. Beyond the technical findings, this paper engages honestly with the harder questions — what AI-assisted creation means for professional artists, who owns the work, and what it means to call something genuinely creative.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-07
DOI
https://doi.org/10.5281/zenodo.18897456
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
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article

AI-Assisted Manga Creation: A Workflow for Non-Artists

Mahadi Islam Alif
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Games
article

AI-Assisted Manga Creation: A Workflow for Non-Artists

Mahadi Islam Alif
article en

Abstract

Making manga has always required years of artistic training — a barrier that has kept countless storytellers from the medium. This paper asks whether generative AI can change that. I developed and tested a five-stage production pipeline that combines large language models for narrative writing with diffusion-based image synthesis for visuals, covering everything from initial story concept through to finished page layout. To validate the approach, I produced a complete five-page manga chapter from scratch — using ChatGPT (OpenAI, 2023), Stable Diffusion (Stability AI, 2022), Midjourney (Midjourney, 2023), and Clip Studio Paint — without any formal drawing training. The results are genuinely encouraging: production time fell dramatically compared to conventional methods, and three independent readers found the chapter coherent and visually engaging. That said, keeping characters visually consistent across panels remained a real struggle, and the emotional depth that comes from a skilled human artist's hand is not something current tools can fully replicate. Beyond the technical findings, this paper engages honestly with the harder questions — what AI-assisted creation means for professional artists, who owns the work, and what it means to call something genuinely creative.

Zenodo (CERN European Organization for Nuclear Research)
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Artificial Intelligence in Games
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