Comparative Analysis of Midjourney, Stable Diffusion and Krea: A Case Study on Storyboard Development with Artificial Intelligence

Comparative Analysis of Midjourney, Stable Diffusion and Krea: A Case Study on Storyboard Development with Artificial Intelligence

초록

The landscape of artificial intelligence (AI) has witnessed a rapid and remarkable evolution, particularly within artistic applications. The integration of AI in artistic endeavors has been a longstanding practice. However, it attained widespread recognition with user-friendly workflows exemplified by Midjourney, DALL-E, and Stable Diffusion. The transformative capabilities of AI have empowered individuals to expeditiously generate artistic paintings, marking a paradigm shift in the temporal dynamics of artistic production. Consequently, this study undertakes a comprehensive comparative analysis of Midjourney, Stable Diffusion, and Krea within the context of storyboard development in animation pre-production. The primary focus centers on elucidating effective methodologies for leveraging these generators in storyboard creation. The analytical framework scrutinizes their distinctive approaches, output quality, user-friendliness, and overall impact on workflow dynamics. Crucially, the findings of this study underscore that these generators, while collectively enhancing efficiency and creative possibilities in storyboard development, each proffers unique advantages: Midjourney excels in the realms of artistic quality and visual allure, Stable Diffusion demonstrates superiority in user control and customization, while Krea distinguishes itself with its noteworthy real-time AI image generation capabilities.

키워드

AI imageStoryboardingText to imageAI artAI generation
제목
Comparative Analysis of Midjourney, Stable Diffusion and Krea: A Case Study on Storyboard Development with Artificial Intelligence
제목 (타언어)
Comparative Analysis of Midjourney, Stable Diffusion and Krea: A Case Study on Storyboard Development with Artificial Intelligence
저자
부이두엉화이린이강희
DOI
10.34163/jkits.2024.19.3.002
발행일
2024-06
저널명
한국지식정보기술학회 논문지
19
3
페이지
401 ~ 412