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  Published Paper Details:

  Paper Title

Using Qualifiers in Prompts for Stable Diffusion - An Experimental Study

  Authors

  Dr. Saba Hilal,  Ms. Ishbah Hilal,  Ms. Yusma Hilal

  Keywords

Stable Diffusion, text-to-image, Generative AI, Neural Networks

  Abstract


Stable Diffusion uses a text-to-image machine learning model to generate images matching the prompt specification. This paper presents the experimental study of using different qualifiers with four different types of text prompts as a method of creating variations in the generated images while preserving the semantics. It was found that all qualifiers helped in creating some variation in the images. However, depending on the type of variation created in the images, this paper presents an insight into enhancement or insertion of relevant or irrelevant features in the generated images based on one- or two-word qualifiers used.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2401108

  Paper ID - 249019

  Page Number(s) - a840-a846

  Pubished in - Volume 12 | Issue 1 | January 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr. Saba Hilal,  Ms. Ishbah Hilal,  Ms. Yusma Hilal,   "Using Qualifiers in Prompts for Stable Diffusion - An Experimental Study", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 1, pp.a840-a846, January 2024, Available at :http://www.ijcrt.org/papers/IJCRT2401108.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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