Abstract

Generino is a novel educational tool designed to demystify the intricacies of image generation for researchers and teaching staff. Developed at the University of Applied Sciences and Arts of Southern Switzerland, it provides a user-friendly interface that exposes and allows manipulation of the underlying parameters within Stable Diffusion 3 medium, fostering a deeper understanding of this increasingly important technology.

The generino interface - Image courtesy of Matteo Subet under CC BY SA 4.0

Concept

The proliferation of AI image generators has brought both exciting possibilities and complex considerations to various fields. However, many users interact with these tools as ‘black boxes,’ lacking insight into how specific settings influence the final output. Generino addresses this gap by providing a transparent platform for exploration. The core concept revolves around revealing the mechanics behind image generation, enabling users to actively experiment with parameters and observe their effects in real-time.

Process Development

Generino is built upon the Stable Diffusion 3 medium model, a powerful foundation for generating high-quality images. The development focused on creating an intuitive interface that presents all available image generation settings in a clear and accessible manner. This allows users to directly adjust parameters, such as guidance scale, and seed values, and immediately witness their impact on the generated imagery. The tool’s design prioritises usability for those seeking to understand, rather than simply utilise, AI image generation techniques.

Note

Generino is currently intended for educational purposes within the University of Applied Sciences and Arts of Southern Switzerland. Further development may include expanded functionality and broader accessibility.

How to cite this page:

Subet, Matteo (2024). Generino. Retrieved on 18 December 2025 from zumat.ch/projects/generino.html