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@article{ART003306516},
author={Younghwa Lee and Daru Kim and O JU Kwon and Chaeyoung Moon and Gooman Park and Younghee Choi},
title={A Study on K-Fantasy Animation Production Pipeline Based on Generative AI},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2026},
volume={12},
number={1},
pages={223-234}

TY - JOUR
AU - Younghwa Lee
AU - Daru Kim
AU - O JU Kwon
AU - Chaeyoung Moon
AU - Gooman Park
AU - Younghee Choi
TI - A Study on K-Fantasy Animation Production Pipeline Based on Generative AI
JO - Journal of Internet of Things and Convergence
PY - 2026
VL - 12
IS - 1
PB - The Korea Internet of Things Society
SP - 223
EP - 234
SN - 2466-0078
AB - This study proposes a K-fantasy animation production pipeline utilizing generative AI and verifies its effectiveness through the short animation "Anrisu in Wonderland." Traditional production methods pose high entry barriers for independent creators and small studios due to their high costs and heavy reliance on human labor. To address this, an integrated pipeline combining commercial AI tools like Midjourney, Runway Gen-4, and Higgsfield with LoRA fine-tuning techniques was developed. A strategy of separately fine-tuning character and background models ensured consistency between frames. A dedicated dataset reflecting the structural proportions of traditional Korean architecture and the unique color system of the "Weird Country" was constructed, overcoming existing AI limitations in expressing Korean aesthetics. Expert evaluations confirmed positive results in visual completeness, production consistency, aesthetic expressiveness, and production efficiency. Compared to traditional methods, this approach reduced production time and manpower, proving its potential as a practical alternative for generative AI-based K-content production.
KW - Generative AI;K-Fantasy;LoRA Fine-tuning;Character Consistency;Korean Aesthetic Sensibility;AI contents Production Pipeline
DO -
UR -
ER -

Younghwa Lee, Daru Kim, O JU Kwon, Chaeyoung Moon, Gooman Park and Younghee Choi. (2026). A Study on K-Fantasy Animation Production Pipeline Based on Generative AI. Journal of Internet of Things and Convergence, 12(1), 223-234.

Younghwa Lee, Daru Kim, O JU Kwon, Chaeyoung Moon, Gooman Park and Younghee Choi. 2026, "A Study on K-Fantasy Animation Production Pipeline Based on Generative AI", Journal of Internet of Things and Convergence, vol.12, no.1 pp.223-234.

Younghwa Lee, Daru Kim, O JU Kwon, Chaeyoung Moon, Gooman Park, Younghee Choi "A Study on K-Fantasy Animation Production Pipeline Based on Generative AI" Journal of Internet of Things and Convergence 12.1 pp.223-234 (2026) : 223.

Younghwa Lee, Daru Kim, O JU Kwon, Chaeyoung Moon, Gooman Park, Younghee Choi. A Study on K-Fantasy Animation Production Pipeline Based on Generative AI. 2026; 12(1), 223-234.

Younghwa Lee, Daru Kim, O JU Kwon, Chaeyoung Moon, Gooman Park and Younghee Choi. "A Study on K-Fantasy Animation Production Pipeline Based on Generative AI" Journal of Internet of Things and Convergence 12, no.1 (2026) : 223-234.

Younghwa Lee; Daru Kim; O JU Kwon; Chaeyoung Moon; Gooman Park; Younghee Choi. A Study on K-Fantasy Animation Production Pipeline Based on Generative AI. Journal of Internet of Things and Convergence, 12(1), 223-234.

Younghwa Lee; Daru Kim; O JU Kwon; Chaeyoung Moon; Gooman Park; Younghee Choi. A Study on K-Fantasy Animation Production Pipeline Based on Generative AI. Journal of Internet of Things and Convergence. 2026; 12(1) 223-234.

Younghwa Lee, Daru Kim, O JU Kwon, Chaeyoung Moon, Gooman Park, Younghee Choi. A Study on K-Fantasy Animation Production Pipeline Based on Generative AI. 2026; 12(1), 223-234.

Younghwa Lee, Daru Kim, O JU Kwon, Chaeyoung Moon, Gooman Park and Younghee Choi. "A Study on K-Fantasy Animation Production Pipeline Based on Generative AI" Journal of Internet of Things and Convergence 12, no.1 (2026) : 223-234.