Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Other Titles
Research on AI Painting Generation Technology Based on the [Stable Diffusion]
Authors
Chenghao Wang정진헌
Issue Date
Jun-2023
Publisher
한국인터넷방송통신학회
Keywords
AI painting; Artificial Intelligence; Stable Diffusion; Checkpoint; LoAR
Citation
The International Journal of Advanced Smart Convergence, v.12, no.2, pp 90 - 95
Pages
6
Indexed
KCI
Journal Title
The International Journal of Advanced Smart Convergence
Volume
12
Number
2
Start Page
90
End Page
95
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/20174
DOI
10.7236/IJASC.2023.12.2.90
ISSN
2288-2847
2288-2855
Abstract
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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School of Digital Image & Contents > Department of Multimedia > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Chung, Jean Hun photo

Chung, Jean Hun
Graduate School of Digital Image & Contents (Department of Multimedia)
Read more

Altmetrics

Total Views & Downloads

BROWSE