mlsanityData to 7 Oct 2026

The Prompt Artists

arXiv 2303.12253 ↗First posted 22 Mar 2023cs.HCcited by 21

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Abstract (arXiv)

This paper examines the art practices, artwork, and motivations of prolific users of the latest generation of text-to-image models. Through interviews, observations, and a user survey, we present a sampling of the artistic styles and describe the developed community of practice around generative AI. We find that: 1) the text prompt and the resulting image can be considered collectively as an art piece prompts as art and 2) prompt templates (prompts with ``slots'' for others to fill in with their own words) are developed to create generative art styles. We discover that the value placed by this community on unique outputs leads to artists seeking specialized vocabulary to produce distinctive art pieces (e.g., by reading architectural blogs to find phrases to describe images). We also find that some artists use "glitches" in the model that can be turned into artistic styles of their own right. From these findings, we outline specific implications for design regarding future prompting and image editing options.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Mar 2023.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 6; 2024: 4; 2025: 6; 2026: 5.

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  1. 2023Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Promptscited by 30
  2. 2023Scientists' Perspectives on the Potential for Generative AI in their Fieldscited by 22
  3. 2023Interactive AI Alignment: Specification, Process, and Evaluation Alignmentcited by 22
  4. 2023Summon a Demon and Bind it: A Grounded Theory of LLM Red Teamingcited by 20
  5. 2023Using Text-to-Image Generation for Architectural Design Ideationcited by 16
  6. 2023User Experience Design Professionals' Perceptions of Generative Artificial Intelligencecited by 16
  7. 2025Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketchingcited by 13
  8. 2024The Dearth of the Author in AI-Supported Writingcited by 9
  9. 2025Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Modelscited by 6
  10. 2025POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generationcited by 6
  11. 2024Disability Representations: Finding Biases in Automatic Image Generationcited by 4
  12. 2025Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Setscited by 4
9 more
  1. 2024Comparison-based Active Preference Learning for Multi-dimensional Personalizationcited by 3
  2. 2025Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaborationcited by 3
  3. 2025Computational Scaffolding of Composition, Value, and Color for Disciplined Drawingcited by 2
  4. 2026The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictorcited by 1
  5. 2026Are Semantic Networks Associated with Idea Originality in Artificial Creativity? A Comparison with Human Agentscited by 1
  6. 2026Beyond the Desk: Barriers and Future Opportunities for AI to Assist Scientists in Embodied Physical Taskscited by 1
  7. 2024Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Reviewcited by 0
  8. 2026On Semiotic-Grounded Interpretive Evaluation of Generative Artcited by 0
  9. 2026Man, Machine, and Masterpiece: Artistic Ownership in the AI Eracited by 0