TEXT TO IMAGE GENERATOR PLATFORM
AUTHORS:
Mentor
Allupati Ch. Patro
Affiliation
GIFT Autonomous College Bhubaneswar, Odisha, India
DOI: 
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Abstract
The Text-to-Image Generator Platform is a software application that uses Artificial Intelligence to create images from textual descriptions. The main objective of this project is to make image generation simple and accessible for users who may not have graphic design experience. By entering a text prompt, users can generate visual content that matches their ideas within a short period of time. The platform combines Natural Language Processing (NLP), Computer Vision, and deep learning techniques to understand user input and produce relevant images. This project demonstrates how AI can be used to support creativity, reduce manual effort, and simplify the process of digital content creation.
Keywords
Artificial Intelligence Text-to-Image Generation Deep Learning Natural Language Processing Computer Vision Stable Diffusion Python Image Synthesis.
Article Information
PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 6
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Jun 07 2026
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Swain, A. K. & Nandi, S. (2026). Text To Image Generator Platform. International Journal of Science, Strategic Management and Technology, 02(6). https://doi.org/10.55041/ijsmt.v2i6.089
Swain, Aditya, and Soubhagya Nandi. "Text To Image Generator Platform." International Journal of Science, Strategic Management and Technology, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i6.089.
Swain, Aditya, and Soubhagya Nandi. "Text To Image Generator Platform." International Journal of Science, Strategic Management and Technology 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i6.089.
References
- Python Documentation, “Official Python Documentation,” Available: https://docs.python.org/3/
- PyTorch Documentation, “PyTorch Deep Learning Framework Documentation,” Available: https://pytorch.org/docs/
- Convex Documentation, “Convex Real-time Backend Documentation,” Available: https://docs.convex.dev
- Liveblocks Documentation, “Liveblocks Real-time Collaboration Infrastructure,” Available: https://liveblocks.io/docs
- Stability AI Documentation, “Stable Diffusion Model Documentation,” Available: https://stability.ai/
- LiveKit Documentation, “LiveKit Real-time Communication Platform,” Available: https://livekit.io/docs
- Tailwind CSS Documentation, “Tailwind CSS Utility-first Framework,” Available: https://tailwindcss.com/docs
- Ramesh, A., Pavlov, M., Goh, G., et al., “Zero-Shot Text-to-Image Generation,” Available: https://arxiv.org/abs/2102.12092
- Vaswani, A., Shazeer, N., Parmar, N., et al., “Attention Is All You Need,” Available: https://arxiv.org/abs/1706.03762
Goodfellow, I., Bengio, Y., and Courville, A., “Deep Learning,” MIT Press, Available: https://www.deeplearningbook.org/
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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