Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability
Explainable AI (XAI) in creative practice can be less about technocentric explanation and more about enabling artists to inspect modify and debug models as part of making Yet largescale texttoimage diffusion systems are typically presented as opaque endtoend tools limiting this kind of material engagement We argue that even large models can function as creative materials when their internal structure is made visible and manipulable To support this we propose a handson approach to explainability centred on experimentation and intervention We instantiate this approach with a model bending and an interactive (inspection) interface integrated into ComfyUIs nodebased workflow including interac...
| Authors | Ahmed M. Abuzuraiq, Philippe Pasquier |
|---|---|
| Primary category | cs.HC |
| Published | 24 July 2026 |
| Last updated at source | 24 July 2026 |
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