‘Generative AI in the Industrial Design Process’ is a course designed to explore the artificial intelligence tools that are transforming the way we design. Through practical examples and interactive exercises, participants will learn how to integrate generative AI into their creative processes to maximise efficiency and innovation. This course combines theory, practice, and discussion to provide an in-depth understanding of the opportunities AI offers in industrial design, from ideation to completion.
Generative AI in the Industrial Design Process Course
Designers and students who want to experiment with AI in all phases of the industrial design process.
Basic knowledge of industrial design and design software (Adobe Suite, CAD). Familiarity with basic digital tools.
It is necessary that students bring their own laptop for the correct development of the course activities:
- Review online and offline tools: Stable Diffusion, Midjourney, Flux, Krea, Qwen-edit, Z-Image, ControlNet, etc.
- Ideation, conceptualization, and display.
- Advanced techniques to customize outputs.
- To introduce key concepts of generative AI applied to industrial design.
- To teach students how to use advanced AI tools to enhance their creative workflow.
- To explore innovative methods for integrating AI into all stages of industrial design.
- To inspire participants to redefine the boundaries of creativity in design through the use of emerging technology.
Structure and contents
- Course presentation and general objectives
- Fundamentals of generative artificial intelligence
- Introduction to ComfyUI + Weavy: environment, node structure, and workflow
- Guided exercises:
- Image generation
- Basic settings
- Understanding the creative flow in ComfyUI + Weavy
- Advanced techniques in ComfyUI + Weavy:
- Node customization
- Flow modification and optimization
- Results control:
- Styles
- Variations
- Visual consistency
- Practical application in ideation and prototyping for industrial design
- Practical workshop:
- Concept development
- Initial product-oriented proposals
- Introduction to the Final Project:
- Briefing
- Team formation
- Introduction to generative AI online tools:
- Midjourney
- Vizcom
- Krea
- Nano Banana
- Strategic approach:
- Which tool to use depending on the project’s objective?
- In-depth look at Nano Banana:
- Creative exploration
- Rapid idea generation
- Experimental flows
- Practical exercises comparing results between platforms
- Advanced methods of creative experimentation:
- Physical inputs
- Hand sketches
- Photographs
- Unconventional materials and processes
- Integration of online tools with ComfyUI + Weavy
- Intensive creative lab:
- Free combinations of tools
- Cross-testing of hybrid flows
- Conceptual and visual development focused on the Final Project
- Final definition of the project’s concept and narrative
- Complete development of the Final Project integrating:
- ComfyUI + Weavy
- Advanced online tools (days 3 and 4)
- Iteration and refinement:
- Visual quality
- Technical consistency
- Conceptual clarity
- Preparation of deliverables and final presentation
- Presentation of Final Projects
- Collective feedback, conclusions, and course closure
Pablo Sacristán Neubauer is an industrial designer and co-founder of KASAK, specialising in the intersection of creativity and technology applied to generative AI. He currently works at ANIMA Design in Barcelona and has taught AI applied to design classes at ELISAVA. With experience in international studios such as SENTISINA and Invivo in Berlin, Pablo holds a master’s degree in Industrial Design from ELISAVA and a bachelor’s degree from Hochschule Magdeburg-Stendal.
Maiara Raisa Reisdorfer is an industrial designer, with training in Germany and a Master at ELISAVA. She is part of ANIMA Design and is Co-Founder and Art Director at KASAK, where she explores creative innovation through generative AI. She also teaches classes on at ELISAVA and at CIM UPC, focusing her work on the integration of creativity, technology, and product design.