Courses Artificial Intelligence RunDiffusion: End-to-End AI Visuals for Architecture

RunDiffusion: End-to-End AI Visuals for Architecture

This free workshop introduces architects and designers to RunDiffusion to build mood boards from references, run precise material/form/tone iterations, and turn hero stills into short motion.

Free

Days

Hrs

Min

Overview
Content
Instructors
Reviews

500 Seats

Dec 20, 2025

12:00 - 16:00 GMT

Saturday - Saturday

Lessons in Progress

Beginner

4 Hours

Certificate — Learn

English

Unlimited Access

Gift Course

Introduction of the workshop:

Learn end-to-end visualization workflows for architecture in RunDiffusion. In this free live event, you will build mood boards from references, iterate materials, form and tone, make precise image edits, and turn hero stills into short motion for client narratives.

You will also train a lightweight style model for brand or office consistency and get clear guidance on licensing, permissions, and data protection. Leave with a finished board, an iteration set, a short video loop, and reusable presets and templates.

What You’ll Learn?

Build mood boards from references inside RunDiffusion

Craft effective prompt scaffolds for architectural intent

Run controlled iterations on materials, form, and tone

Make precise edits (masking, in/out-painting, global color/tone)

Manage seeds, versions, and presets for repeatable results

Turn hero stills into short motion for client-ready loops

RunDiffusion: End-to-End AI Visuals for Architecture

Methodology:

You’ll work hands-on in RunDiffusion from start to finish: build a reference-driven mood board, craft a tight prompt scaffold, and run controlled iterations on materials, form, and tone using seeds, batches, and presets for repeatable results. You’ll make targeted edits—masking, in/out-painting, and global color/tone passes.

In this workshop, you will convert 2–3 hero stills into a short, loopable motion cut for client previews. We’ll also demonstrate training a lightweight style LoRA (Flux Dev) for brand/office consistency and outline firm-ready practices for licensing, permissions, and data protection.

Program:

Orientation & Framing

AI in early-phase design; what we’ll build; success criteria.

RunDiffusion for Mood Boards & Concepting

References → prompts; Flux vs Stable Diffusion comparison; curate, annotate, versioning discipline.

ComfyUI for Granular Control (optional)

Batch prompts, seed control, model/LoRA swaps; export a reusable node-graph template.

Material / Shape / Tone Iterations (Applied)

Interiors, structural, landscape drills; targeted edits with Nano Banana, Seedream, Qwen (masking, in/out-paint, global tone).

Custom Models + Enterprise Readiness

Flux Dev LoRA demo (sketch/style consistency); licensing, budgeting, permissions, no third-party training policy.

Q&A + Next Steps

Assets hand-off; adoption checklist; follow-up resources.

What You’ll Use?

RunDiffusion

ComfyUI

Highlights:

Content

Instructors:

Alex Wilson

Biography

Alex has over 15 years of experience pairing the architectural design process with computation workflows. He has professional and teaching experience in several modelling, scripting, rendering, and documentation software.Currently, he works at Woods Bagot as part of a global technology team who are responsible for the Technological direction of the firm. Alex's responsibilities include progressing office BIM Standards, staff training, supporting project teams, software and plugin testing, and developing interoperability workflows.Prior to Woods Bagot, Alex has worked for a number of award-winning firms where he held similar positions focusing on BIM, technology, and parametric workflows.Alex graduated with a Master of Architecture (Digital Architecture) from the University of Melbourne.

June Chow

Biography

June Chow is an architect based in Perak, Malaysia, at the forefront of integrating Generative AI into architectural design. She is recognized for revolutionizing the design process with AI tools and is a top AI creator on LinkedIn. As an AI trainer, June has collaborated with architects globally to enhance their use of AI in design ideation and visualization. Recent projects include envisioning sustainable futures for communities using Large Language Models (LLMs), Deep Learning Models like Stable Diffusion and various Generative AI tools, collaborating with researchers to design resilient urban models, and working with a team of European solar panel experts to create sustainable urban structures such as EV stations and City Pods. June has delivered workshops on AI in architecture, published the ebook ""Generative AI for Architects,"" and is actively training architecture professionals. She has also spoken at global forums such as the 1st Global Seminar of Designing with Emerging Technologies by the Polytechnic University of Milan. With her extensive background in AI-driven design, June brings a new concept of AI-chitecture, empowering architects to rethink and innovate within their fields