Keywords
design; AI; generative AI; generative design; latent diffusion models
Abstract
This paper argues that if we are to come to creative terms with AI image-making then we must critically interrogate these new tools in the production of creative works. In doing so, designers can start to chart new creative workflows that integrate AI for image-making while augmenting and then evolving our current ways of designing. Workflows are shown that relate to how AI models can augment human creativity in hybrid (human and AI) creative endeavors while taking advantage of the affordances of these technologies.
Permissions
I own the rights to all images and give permission to publish
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights
IN COPYRIGHT - EDUCATIONAL USE PERMITTED. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC-EDU/1.0/
Recommended Citation
Vermillion, Joshua
(2023)
"Giving Up Control: Hybrid AI-Augmented Workflows for Image-Making,"
Tradition Innovations in Arts, Design, and Media Higher Education: Vol. 1:
Iss.
1, Article 3.
DOI: https://doi.org/10.9741/2996-4873.1009
Available at:
https://digitalscholarship.unlv.edu/tradition_innovations/vol1/iss1/3
Place Name
Las Vegas, NV
Time Period
August 2023
Included in
Architectural Technology Commons, Environmental Design Commons, Interdisciplinary Arts and Media Commons, Interior Architecture Commons, Other Architecture Commons