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Culture Information Technology (CIT)

Research on AI Painting Generation Technology Based on the [Stable Diffusion]

초록

영어

With the rapid development of deep learning and artificial intelligence, generative models have achieved remarkable success in the field of image generation. By combining the stable diffusion method with Web UI technology, a novel solution is provided for the application of AI painting generation. The application prospects of this technology are very broad and can be applied to multiple fields, such as digital art, concept design, game development, and more. Furthermore, the platform based on Web UI facilitates user operations, making the technology more easily applicable to practical scenarios. This paper introduces the basic principles of Stable Diffusion Web UI technology. This technique utilizes the stability of diffusion processes to improve the output quality of generative models. By gradually introducing noise during the generation process, the model can generate smoother and more coherent images. Additionally, the analysis of different model types and applications within Stable Diffusion Web UI provides creators with a more comprehensive understanding, offering valuable insights for fields such as artistic creation and design.

목차

Abstract
1. Introduction
1.1 Research Background
1.2 Research Objectives
2. The Operating Principle and Practical Applications of Stable Diffusion Web UI
2.1 Operating Principle
2.2 Practical Applications of AI Painting
3. AI Model Types
3.1 Checkpoint
3.2 LoRA
4. Conclusion
References

저자정보

  • Chenghao Wang Doctor's Course, Dept. of Multimedia, Graduate School of Digital Image and Contents Dongguk University, Korea
  • Jeanhun Chung Professor, Dept. of Multimedia, Graduate School of Digital Image and Contents Dongguk University, Korea

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