Semantic Scholar Open Access 2023 131 sitasi

What’s in a text-to-image prompt? The potential of stable diffusion in visual arts education

N. Dehouche Kullathida Dehouche

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Computer Science Medicine

Penulis (2)

N. Dehouche

Kullathida Dehouche

Format Sitasi

APA MLA BibTeX

Dehouche, N., Dehouche, K. (2023). What’s in a text-to-image prompt? The potential of stable diffusion in visual arts education. https://doi.org/10.1016/j.heliyon.2023.e16757

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.heliyon.2023.e16757

Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Total Sitasi: 131×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.heliyon.2023.e16757
Akses: Open Access ✓