Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{179358, author = {Priyanshu Kumar and Syed Asad Ali and Zeeshan Afzal and Tabassum}, title = {AI IMAGE GENERATION}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {11}, number = {12}, pages = {6561-6567}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=179358}, abstract = {AI image generation Software as a Service (SaaS) platforms offer accessible, cloud-based tools that allow users to generate high-quality images using artificial intelligence without requiring deep technical knowledge or local computational resources. These platforms typically use advanced models like diffusion networks or GANs to convert text prompts into visuals, supporting applications in marketing, design, gaming, and content creation. By offering scalable and ondemand services, AI image generation SaaS democratizes creativity and streamlines workflows across industries, while also raising important considerations about data privacy, copyright, and model bias (Karras et al., 2019; Saharia et al., 2022)}, keywords = {}, month = {May}, }
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry