Stable Diffusion aprende de Sebastiano Serliodibujo de arquitectura con inteligencia artificial

  1. Merino-Gómez, Elena 1
  2. Moral Andrés, Fernando 2
  3. Querol, Blanca 2
  4. Reviriego Vasallo, Pedro 3
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

  2. 2 Universidad Nebrija
    info

    Universidad Nebrija

    Madrid, España

    ROR https://ror.org/03tzyrt94

  3. 3 Universidad Politécnica de Madrid
    info

    Universidad Politécnica de Madrid

    Madrid, España

    ROR https://ror.org/03n6nwv02

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Journal:
EGA: revista de expresión gráfica arquitectónica

ISSN: 1133-6137,  2254-6103

Year of publication: 2024

Issue Title: in conversation with... Pereda Pérez Arquitectos

Volume: 29

Issue: 51

Pages: 258-267

Type: Article

DOI: 10.4995/EGA.2024.20332 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: EGA: revista de expresión gráfica arquitectónica

Abstract

The recent development of generative Artificial Intelligence (AI) tools capable of generating images from text sequences is creating opportunities in many disciplines. Architecture is no exception, and text-to-image generators can be used in graphic representation. However, in most cases, they are not capable of generating architectural drawings following the graphic style of specific authors. Very recently, AI tools offer users the possibility of partial retraining using a small set of images. This opens the possibility of developing custom text-to-image generators with AI. For example, it would be possible to recreate the way a particular author represents architectures. In this article, we explore the potential of these custom generators using the works of Sebastiano Serlio as a case study. The results show that custom AI generators can capture Serlio’s style, opening the research field to in-depth studies on the idiosyncratic modes of graphic expression in architectures throughout history. In this article, we explore the potential of these custom generators using the works of Sebastiano Serlio as a case study. The results show that custom AI generators can capture Serlio’s style, opening the research field to in-depth studies on the idiosyncratic modes of graphic expression in architecture throughout history.

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