Objectives and competences
This intensive course explores the new processes offered by AI to generate images in architecture, from creating visual references and artistic experiments to realistic or stylized renderings. It is presented as a quick alternative to traditional rendering engines, and teaches how to train your own models to adapt them to specific imagery. Unlike the usual text prompts, the course focuses on control through reference images and geometries, using the ComfyUI environment to expand the creative and technical capabilities of AI.
Basic information
| Certificate | Microcredencial |
|---|---|
| Coordinating faculty | Facultat de Belles Arts |
| Branch of knowledge |
|
| Mode of delivery | Face-to-face |
| Credits | 4 |
| Length of course | 1 academic year |
| Language(s) of instruction | Catalan;Spanish |
| Enrolment fee | Price: 490,00 € With a 70% discount: 147,00 € Consult the conditions for obtaining the discount, financed under the MicrocredsCat programme with EU NextGeneration funds. Administrative fee: 10% of the non-discounted price, up to a maximum of €70 |
| In-company placement(s) | No |
| Start of teaching period | 05/11/2025 |
| End of teaching period | 22/12/2025 |
| microcred.info@il3.ub.edu | |
| Webpage | https://www.il3.ub.edu/ca/microcredencials-generacio-imatges-ia-processos-arquitectura |
| Managment | Rosado Rodrigo, Pilar |
| Open pre-enrolment | https://www.il3.ub.edu/ca/microcredencials-generacio-imatges-ia-processos-arquitectura |
| Lead to doctoral studies | No |
| Admission for applicants not holding a degree qualification | Yes |
 |
 |
 |
 |
 |
Objectives and competences
Objectives
- Adapt to new digital workflows by developing the ability to incorporate flexible, node-based and extensible tools like ComfyUI into creative processes, enabling the invention of custom workflows.
- Master the conceptual and technical fundamentals of AI applied to architecture.
- Understand key concepts such as latent space, neural networks and diffusion models to explore new approaches to visual creation.
- Acquire skills in the customization and training of AI models. Specifically, learn to adapt and train models to generate architectural images that respond to the sector?s specific styles and needs.
- Develop autonomy and competitiveness through familiarization with the field of artificial intelligence, in order to learn new techniques independently and understand its opportunities and limitations with confidence.
Access and admission
Applicant profile and access requirements
Recommended applicant profile
- Architects who want to speed up the creative process, as well as other spatial design professionals, such as urban planners and interior designers, landscape architects, or set designers.- Property developers and marketing teams who need to visualize projects for pre-sale, marketing, and communication with investors and buyers.
- University professors or researchers linked to the aforementioned fields, who wish to update their knowledge and integrate these tools into their research programmes.
Access requirements and conditions
The course is also open to students with no prior university education, who will acquire the same knowledge and skills and receive a specific qualification for their learner group. Information on the access requirements and other conditions can be obtained from the course directors.Pre-enrolment
Calendar
Contact us
Classes
| Address | Facultat de Belles Arts Pau Gargalló 4 08028 - Barcelona Espanya |
|---|---|
| Email address | microcred.info@il3.ub.edu |
| Webpage | https://www.il3.ub.edu/ca/microcredencials-generacio-imatges-ia-processos-arquitectura |
| Telephone | 934034084 |
| Observations | Thirteen three-hour sessions, Wednesdays and Fridays (from 6 to 9 p.m.) |
Further information
| Address | Institut de Formació Contínua - UB C/ Ciutat de Granada, 131 08018 - Barcelona Espanya |
|---|---|
| Email address | microcred.info@il3.ub.edu |
| Webpage | https://www.il3.ub.edu/ca/microcredencials-generacio-imatges-ia-processos-arquitectura |
| Telephone | 93 309 36 54 |