What's in a text-to-image prompt? The potential of stable diffusion in visual arts education
Text-to-Image artificial intelligence (AI) recently saw a major breakthrough with the release of Dall-E and its open-source counterpart, Stable Diffusion. These programs allow anyone to create original visual art pieces by simply providing descriptions in natural language (prompts). Using a sample o...
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th-mahidol.829762023-06-07T00:23:05Z What's in a text-to-image prompt? The potential of stable diffusion in visual arts education Dehouche N. Mahidol University Multidisciplinary Text-to-Image artificial intelligence (AI) recently saw a major breakthrough with the release of Dall-E and its open-source counterpart, Stable Diffusion. These programs allow anyone to create original visual art pieces by simply providing descriptions in natural language (prompts). Using a sample of 72,980 Stable Diffusion prompts, we propose a formalization of this new medium of art creation and assess its potential for teaching the history of art, aesthetics, and technique. Our findings indicate that text-to-Image AI has the potential to revolutionize the way art is taught, offering new, cost-effective possibilities for experimentation and expression. However, it also raises important questions about the ownership of artistic works. As more and more art is created using these programs, it will be crucial to establish new legal and economic models to protect the rights of artists. 2023-06-06T17:23:05Z 2023-06-06T17:23:05Z 2023-06-01 Article Heliyon Vol.9 No.6 (2023) 10.1016/j.heliyon.2023.e16757 24058440 2-s2.0-85160540265 https://repository.li.mahidol.ac.th/handle/123456789/82976 SCOPUS |
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Multidisciplinary Dehouche N. What's in a text-to-image prompt? The potential of stable diffusion in visual arts education |
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Text-to-Image artificial intelligence (AI) recently saw a major breakthrough with the release of Dall-E and its open-source counterpart, Stable Diffusion. These programs allow anyone to create original visual art pieces by simply providing descriptions in natural language (prompts). Using a sample of 72,980 Stable Diffusion prompts, we propose a formalization of this new medium of art creation and assess its potential for teaching the history of art, aesthetics, and technique. Our findings indicate that text-to-Image AI has the potential to revolutionize the way art is taught, offering new, cost-effective possibilities for experimentation and expression. However, it also raises important questions about the ownership of artistic works. As more and more art is created using these programs, it will be crucial to establish new legal and economic models to protect the rights of artists. |
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What's in a text-to-image prompt? The potential of stable diffusion in visual arts education |
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What's in a text-to-image prompt? The potential of stable diffusion in visual arts education |
title_full |
What's in a text-to-image prompt? The potential of stable diffusion in visual arts education |
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What's in a text-to-image prompt? The potential of stable diffusion in visual arts education |
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What's in a text-to-image prompt? The potential of stable diffusion in visual arts education |
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what's in a text-to-image prompt? the potential of stable diffusion in visual arts education |
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2023 |
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https://repository.li.mahidol.ac.th/handle/123456789/82976 |
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