The gaming industry is experiencing rapid growth due to recent advances in technology. Game engines such as Unity and Unreal are being actively utilized. These game engines offer a variety of plugins to naturally extend the functionality of the engine. Among them, innovations in 3D graphics technology have made game characters more expressive and enhanced the user experience. However, traditional 3D modeling approaches can sometimes bring limitations and challenges. In particular there are problems with the representation of fine details when utilizing general photos through AI scanning. This paper aims to overcome these difficulties by designing and implementing a game 3D character generation framework using Stable Diffusion. By improving the creation process by utilizing concept art images without hairstyles, it enables fast and efficient character creation. The application of this framework allows for faster and more consistent character creation with fewer steps in the creation process and helps game developers to adapt characters to the engine more easily and quickly. In addition, we verified the effectiveness and scalability of the 3D game character data generated by Stable Diffusion by checking the animation behavior in the game engine.

1. Introduction
2. Related Research
    2.1 Stable Diffusion
    2.2 Auto Rigging
    2.3 Retopology & Reduction
3. Design
4. Realization
5. Conclusion
Acknowledgement

• Joon HER(Department of VR Game Contents, Shingu Collage, Seongnam, Korea)
• Seok-Kyoo KIM(Department of Game Design and Development, Sangmyung University, Seoul, Korea) Corresponding author