Infographics Assisted by Generative Models

Authors

  • N. Belemou University of Science and Technology of Oran -Mohamed Boudiaf-, Dept. of Computer Science and Mathematics
  • A. Ould Hocine University of Science and Technology of Oran -Mohamed Boudiaf-, Dept. of Computer Science and Mathematics

DOI:

https://doi.org/10.58681/ajrt.24080203

Keywords:

Artificial intelligence, Generative AI, Stable Diffusion, LoRA, Kohya_ss, Dream booth, Infographic, Logo

Abstract

However, an extensive search for a suitable logo generator yielded limited results. To address this, a stable diffusion generative model was adapted using LoRA to generate logo images based on textual input, demonstrating successful outcomes. Multiple LoRAs were created and merged with the stable diffusion model to produce coherent and contextually relevant logos. This approach is accessible to users without coding experience through a web interface available on the Hugging Face platform.

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Published

20-12-2024

How to Cite

Belemou, N., & Ould Hocine , A. (2024). Infographics Assisted by Generative Models. Algerian Journal of Research and Technology (AJRT), 8(2), 28–47. https://doi.org/10.58681/ajrt.24080203