• ISSN: 2349-6002
  • UGC Approved Journal No 47859
Author Login IJIRT Partner Network (IPN) Login

ART GENERATION USING ARTIFICIAL INTELLIGENCE

  • Unique Paper ID: 167110
  • Volume: 11
  • Issue: 3
  • PageNo: 302-306
  • Abstract:
  • The field of image generation is advancing rapidly, with various models producing high-quality and diverse images. The introduction of artificial intelligence has significantly changed the landscape, enabling the creation of stunning illustrations that offer a high level of professionalism with minimal effort. Among the advancements, text-to-image generation stands out for its remarkable progress, transforming textual descriptions into vivid and contextually accurate images. The applications of text-to-image generation are vast, particularly in content creation, where these models empower artists, designers, and marketers to generate unique visuals from brief textual prompts. However, the computational complexity and research demands of these models require powerful hardware and cloud-based solutions, limiting their accessibility and practical utility for individuals and small-scale applications. To address these challenges, we developed a highly optimised and lightweight variant of the available models, designed for efficiency and local execution. This paper provides a thorough analysis of the performance and capabilities of current text-to-image models, comparing their strengths, limitations, and areas for improvement.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 3
  • PageNo: 302-306

ART GENERATION USING ARTIFICIAL INTELLIGENCE

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

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 Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry