Unleashing Creativity
through Technology

Visualization Masterclass: From pitch mood to client-ready is a bundled pathway designed for architects and visualizers who want to integrate AI into every stage of their image-making process.

In AI for Visualization, participants explore a full AI toolset—ComfyUI, custom nodes, ControlNet, Krea, Magnific, and Photoshop generative features—to build images that move from early mood, to controlled sketch-to-image workflows, to refined, upscaled finals ready for professional presentations. The course introduces Stable Diffusion fundamentals and walks through case studies where AI layers on top of a 3D model to accelerate mood boards, material explorations, and final shots.

AI for Visualization 2.0 then deepens this expertise, focusing specifically on ComfyUI as a backbone for production workflows. Participants dissect custom graph structures that address everyday visualization tasks: sourcing and matching reference imagery from 3D cameras, generating assets for photobashing, in-painting, and creating consistent image series suitable for client communication. By studying and editing pre-built workflows, participants learn to understand, adapt, and extend ComfyUI graphs instead of treating them as black boxes.

Taken together, the masterclass equips participants with both conceptual understanding and technical fluency, enabling them to move confidently from initial idea to polished visualization using AI as a core design partner.

The FLUX Series is designed for practitioners who want full agency over their AI tooling—from model selection and training to integration within real design workflows.

In Flux in ComfyUI, participants explore FLUX as a family of advanced text-to-image models built for high fidelity, prompt adherence, and stylistic control. Working inside ComfyUI, they study the theoretical background of Stable Diffusion, then move into hands-on use of ControlNet and custom LoRAs to steer structure and style. The workshop covers dataset curation, parameter choices, and strategies for building bespoke ComfyUI graphs that encode architectural intentions rather than ad-hoc experiments.

Commanding AI in Architecture extends this technical layer into an end-to-end design methodology. Participants examine how Midjourney, SD, FLUX, Forge, and Photoshop AI can be combined across stages—from early brainstorming and reference generation to segmentation-driven workflows and Flux-based denoising pipelines. The course emphasizes control: using 3D models, ADE20K segmentation, and ControlNet-enabled flows to “freeze” geometry, inject site-specific constraints, and refine outputs without losing the architect’s voice.

The bundle is ideal for architects already experimenting with diffusion models who now want to formalize their practice into robust, repeatable workflows that can sit comfortably inside office production.

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The Midjourney for Design bundle is tailored for designers who want to move beyond basic prompt play and embed Midjourney and related AI tools directly into their day-to-day project work.

Advanced Midjourney focuses on expanding the imaginative powers of architects. Participants learn advanced prompt engineering, explore parameters for fine-grained control, and study case-driven workflows that integrate Midjourney across stages—from exploratory ideation to consistent, site-aware design narratives. Attention is given to balancing surprise with constraint, ensuring that AI-generated imagery aligns with project briefs and client expectations.

AI for Interior Design: Unleashing Creativity then grounds those skills in interior practice. Through live, highly practical modules, participants learn how Midjourney, Prome AI, Krea, and Runway can compress the time from idea to visualization. The workshop walks through interior-specific workflows: building concept images, converting sketches into renderings, enhancing photographs and AI outputs, and producing short video snippets to bring spaces to life. The emphasis is on selecting the right tool for each step and communicating clearly with AI systems to avoid “lost in translation” moments.

Together, the two workshops offer a holistic perspective: conceptual breadth from the architectural side, and executional depth from the interior side, making this bundle ideal for practices that span both scales.

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The Environmental Intelligence Series is part of NORDFY’s broader EI program, which responds to increasing environmental pressures and the need for resilient, data-driven design. Across three focused online sessions, participants progressively move from foundational climate data skills to more advanced comfort and passive-strategy analysis.

In Session 1 – Detecting climate variables: Managing weather data, attendees learn how to gather and manage climate information using online sources and computational tools such as Ladybug Tools within Rhino and Grasshopper. The session emphasizes importing EPW/weather data, reading key variables like temperature, humidity, and wind, and understanding how these metrics begin to influence design thinking.

Session 2 – Intro to Ladybug Tools: Environmental Study Sheet builds on that foundation, introducing participants to the structure of environmental study sheets. Using Ladybug Tools, they learn to summarize climate insights into clear visual and quantitative outputs that can guide early design moves and inform communication with clients and collaborators.

In Session 3 – Understanding Psychrometric Charts and Passive Strategies, the focus shifts to advanced climate interpretation and comfort analysis. Participants work with psychrometric charts, enthalpy, and related metrics to understand thermal comfort and evaluate passive design strategies appropriate to specific climates. The session links data to action: how strategies such as shading, natural ventilation, or evaporative cooling emerge from the climate framework.

Together, the series equips participants with both the conceptual grasp and practical tool skills needed to embed environmental intelligence into design processes from the very beginning.

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