Haunted Comics: The indeterminate craft of prompting

This paper explores how generative AI reshapes the early stages of comic book creation, focusing on the interplay between visible outcomes and unrealized possibilities embedded in production materials like sketches and layouts. Through a case study of Fastwalkers—a synthetic comic co-created with AI in 2020—the research investigates how algorithmic feature spaces function as conceptual terrains for iterative prototyping. By training models on domain-specific datasets such as Danbooru, the creators engaged in an evolving dialogue between human intent and machine-driven variation. This iterative, AI-assisted process revealed latent aesthetics and speculative narrative structures, complicating traditional notions of authorship, intentionality, and materiality. The paper frames these dynamics through the lenses of explainable computational creativity, arguing that AI introduces a spectral dimension to comics production. Ultimately, it suggests that generative systems amplify the indeterminacies of multimodal craft, prompting a redefinition of what constitutes a comics object in the era of synthetic media.

Publication Details

Journal
Open Repository and Bibliography (University of Liège)
Published
2025-04-14
DOI
https://doi.org/10.5281/zenodo.15915074
Primary Topic
Comics and Graphic Narratives
Type
article
Field-Weighted Citation Impact
0.00
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article

Haunted Comics: The indeterminate craft of prompting

Open Repository and Bibliography (University of Liège)
Comics and Graphic Narratives
article

Haunted Comics: The indeterminate craft of prompting

article en

Abstract

This paper explores how generative AI reshapes the early stages of comic book creation, focusing on the interplay between visible outcomes and unrealized possibilities embedded in production materials like sketches and layouts. Through a case study of Fastwalkers—a synthetic comic co-created with AI in 2020—the research investigates how algorithmic feature spaces function as conceptual terrains for iterative prototyping. By training models on domain-specific datasets such as Danbooru, the creators engaged in an evolving dialogue between human intent and machine-driven variation. This iterative, AI-assisted process revealed latent aesthetics and speculative narrative structures, complicating traditional notions of authorship, intentionality, and materiality. The paper frames these dynamics through the lenses of explainable computational creativity, arguing that AI introduces a spectral dimension to comics production. Ultimately, it suggests that generative systems amplify the indeterminacies of multimodal craft, prompting a redefinition of what constitutes a comics object in the era of synthetic media.

Open Repository and Bibliography (University of Liège)
Openalex Percentile: Top 56%
Comics and Graphic Narratives
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