Creative AI for Visual Artists
This advanced studio course is designed for visual artists seeking to deepen their practice through the experimental use of Artificial Intelligence. Moving beyond basic prompting, students will explore custom model training, fine-tuning, and the use of AI in mixed-media workflows. The curriculum emphasizes the development of a unique personal aesthetic and the conceptual rigor required to exhibit AI-generated or AI-assisted artwork in fine art contexts.
§ 01 By the end you can
- Develop custom LoRAs and checkpoints to establish a consistent personal style
- Master advanced control techniques (e.g., ControlNet, ComfyUI) for precise composition
- Integrate AI generation with photography, collage, and traditional media
- Critique the aesthetics and philosophy of machine-generated imagery
- Curate and present a cohesive body of work suitable for gallery exhibition
§ 02 Sixteen sessions
The whole semester.
- 01The Aesthetics of Latent Space
- 02Advanced Prompting: Syntax & Parameters
- 03Stable Diffusion Deep Dive: ComfyUI
- 04ControlNet: Pose, Depth, and Canny
- 05Training Custom Models (Dreambooth)
- 06Training Styles with LoRA
- 07AI in Mixed Media & Collage
- 08 · MidtermMidterm Examination
- 09Photography & AI: Synthetic Photography
- 10Moving Image: AI Video for Artists
- 11Interactive & Real-time AI Art
- 12Glitch Art & Artifact Manipulation
- 13Upscaling & Printing for Exhibition
- 14Curatorial Practices for Digital Art
- 15Artist Statement & Portfolio Review
- 16Final Exhibition & Critique
Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.
Recommended reading
- AI Art: Machine Learning, Painting, Mirrors by Joanna Zylinska
- The Age of A.I. And Our Human Future by Henry A. Kissinger, Eric Schmidt, and Daniel Huttenlocher
- Machine in the Studio: Constructing the Postwar American Artist by Caroline A. Jones
- Generative Design by Benedikt Gross and Hartmut Bohnacker
- Art in the Age of Machine Learning by Sofian Audry
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