Comparison of the use of AI services based on general natural language for generating images for fiction

The article describes a method of image generation with Artificial Intelligence services Dall-e, MidJourney and Stable Diffusion using text abstraction retrieved with Artificial Intelligence services ChatGPT, Claude, Copilot, PI, Gemini, that work with natural language. The implementation of the new approach gives a significant gain in image quality and consistency with analysed text. The methodology is based on using neural network API services instead of commonly used natural language algorithms to extract keywords or sentences. Proposed evaluation is applied to the generated images. An analysis of evaluation options is carried out depending on Artificial Intelligence service, based on the tested book, length of result abstract, number of errors for each type and number of times AI service can understand tested book title out of proposed abstraction.

Authors

Publication Details

Journal
Mathematical Modeling and Computing
Published
2025-01-01
DOI
https://doi.org/10.23939/mmc2025.01.283
Citations
1
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
2.48
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article

Comparison of the use of AI services based on general natural language for generating images for fiction

Volodymyr Yakymiv, Yosyf Piskozub
1 citations
Mathematical Modeling and Computing
Advanced Text Analysis Techniques
2.48
article

Comparison of the use of AI services based on general natural language for generating images for fiction

Volodymyr Yakymiv, Yosyf Piskozub
article en
1 citations

Abstract

The article describes a method of image generation with Artificial Intelligence services Dall-e, MidJourney and Stable Diffusion using text abstraction retrieved with Artificial Intelligence services ChatGPT, Claude, Copilot, PI, Gemini, that work with natural language. The implementation of the new approach gives a significant gain in image quality and consistency with analysed text. The methodology is based on using neural network API services instead of commonly used natural language algorithms to extract keywords or sentences. Proposed evaluation is applied to the generated images. An analysis of evaluation options is carried out depending on Artificial Intelligence service, based on the tested book, length of result abstract, number of errors for each type and number of times AI service can understand tested book title out of proposed abstraction.

Mathematical Modeling and ComputingVol. 12(1)
Openalex Percentile: Top 11%
Advanced Text Analysis Techniques
2.48
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