Prompt2Pixel – An Image Genration Engine Based On DALL-E Model

A text-to-image generation engine based on the DALL-E model, which utilizes advanced deep learning techniques to convert textual descriptions into high-quality images. The DALL-E model, developed by Open AI, is designed to understand complex language inputs, allowing it to create visually coherent and contextually relevant images. The engine's architecture and training methods are explored, showcasing its ability to generate diverse imagery from a wide range of prompts. Evaluation of its performance highlights its strengths in creativity and versatility, making it applicable in various fields such as art, design, and education. Additionally, the implications of this technology for enhancing human creativity are considered, alongside the ethical challenges associated with AI-generated content. This work sheds light on the capabilities of text-to-image generation and the potential impact of AI on visual content creation, offering insights into both opportunities and challenges in this evolving landscape

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-03-04
DOI
https://doi.org/10.22214/ijraset.2025.67176
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.00
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article

Prompt2Pixel – An Image Genration Engine Based On DALL-E Model

Mandar G. Pande
International Journal for Research in Applied Science and Engineering Technology
Image Processing and 3D Reconstruction
article

Prompt2Pixel – An Image Genration Engine Based On DALL-E Model

Mandar G. Pande
article en

Abstract

A text-to-image generation engine based on the DALL-E model, which utilizes advanced deep learning techniques to convert textual descriptions into high-quality images. The DALL-E model, developed by Open AI, is designed to understand complex language inputs, allowing it to create visually coherent and contextually relevant images. The engine's architecture and training methods are explored, showcasing its ability to generate diverse imagery from a wide range of prompts. Evaluation of its performance highlights its strengths in creativity and versatility, making it applicable in various fields such as art, design, and education. Additionally, the implications of this technology for enhancing human creativity are considered, alongside the ethical challenges associated with AI-generated content. This work sheds light on the capabilities of text-to-image generation and the potential impact of AI on visual content creation, offering insights into both opportunities and challenges in this evolving landscape

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(3)
Openalex Percentile: Top 97%
Image Processing and 3D Reconstruction
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Prompt2Pixel – An Image Genration Engine Based On DALL-E Model — Mandar G. Pande · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS