STABLE DIFFUSION APRENDE DE SEBASTIANO SERLIO: DIBUJO DE ARQUITECTURA CON INTELIGENCIA ARTIFICIAL.

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  • Additional Information
    • Alternate Title:
      STABLE DIFFUSION LEARNS FROM SEBASTIANO SERLIO: ARCHITECTURAL DRAWING WITH ARTIFICIAL INTELLIGENCE.
    • Subject Terms:
      GENERATIVE artificial intelligence; ARCHITECTURAL history; ARTIFICIAL intelligence; OCCUPATIONAL retraining
    • Abstract:
      El reciente desarrollo de herramientas de Inteligencia Artificial (IA) generativa capaces de generar imágenes a partir de secuencias de texto, está creando oportunidades en muchas disciplinas. La arquitectura no es una excepción y los generadores de texto a imágenes (text-to-image generators) se pueden emplear en la representación gráfica. Sin embargo, en la mayoría de los casos no son capaces de generar dibujos arquitectónicos siguiendo el estilo gráfico de autores concretos. Muy recientemente, las herramientas de IA ofrecen al usuario la posibilidad de realizar un reentrenamiento parcial utilizando un pequeño conjunto de imágenes. Esto abre la posibilidad de desarrollar generadores de texto a imágenes con IA personalizados. Sería posible, por ejemplo, recrear la forma de representar arquitecturas de un autor determinado. En este artículo exploramos el potencial de estos generadores personalizados utilizando los trabajos de Sebastiano Serlio como estudio de caso. Los resultados muestran que los generadores de IA personalizados pueden capturar el estilo de Serlio, abriendo el campo de investigación a estudios en profundidad sobre los modos idiosincráticos de la expresión gráfica de arquitecturas a lo largo de la historia. [ABSTRACT FROM AUTHOR]
    • 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. [ABSTRACT FROM AUTHOR]
    • Abstract:
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