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CategoriesArchitecture

Can AI Become the Saving Grace of the Architectural Profession?

By Zarkon Group,

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

Recently, I had a discussion regarding Artificial Intelligence (AI) with a seasoned architect who vividly recalled her transition from analog architectural drawing to computer-aided design and visualization. Naturally, through our conversation, many questions were raised:

‘Did the slow process of putting ink to paper allow architects to think more? Did technology expedite the process of design and representation to such an extent that it led to architecture becoming less considerate? Finally, will AI make matters worse?’

Nowadays, technology once again knocks on the architecture’s door, allegedly threatening to stifle any last drop of human-generated creativity, relegating architects to mere spectators in the design process. Yet there is an immense difference between traditional Computer Aided Design (CAD) and AI technology. While the first revolutionized the way architects produce, draw and represent architecture, the era of the AI bloom unlocks new dimensions of what architecture can actually accomplish. In other words, it repositions the role of the architect in today’s world.

For many decades now, architecture as a profession has gradually becoming reduced, to an extent, to large profit-driven developments, frequently opting to occupy every available space with elaborate schemes, rather than producing carefully thought-through design. Oftentimes, the utilization of design software encouraged practices such as copy-paste designs, placing emphasis on exaggerated forms and even prioritizing stunning visualizations over the buildings themselves. Ironically, the speed and digitally aided precision at which architecture was produced left little room for experimentation and added a rigidness during its conception.

AI technology on the other hand, introduces a different mode of thinking and communicating architecture. It prioritizes provocation over resolution, offering architects a canvas upon which to express their artistic vision in new and unexpected ways. By leveraging the capabilities of AI, architects can explore complex geometries, intricate patterns and innovative material combinations that were previously unimaginable. Moreover, AI enables them to tailor designs to specific environmental conditions, cultural contexts, and user preferences with unparalleled care, resulting in truly bespoke and contextualized architectural solutions.

Shail Patel is an architect and AI artist, who has fully assimilated AI in his workflow. His conceptual experimentations are described as realistic-looking dreams that glow in the dark, float on water and put a humorous twist in well-known architectural landmarks. Patel also redesigns retail stores of famous brands such as Apple and Lacoste, clearly showcasing how AI tools such as Midjourney can do more than mere architectural representation. His designs tackle evident challenges that occupy realistic aspects found in commercial architecture, proving that even in the most dreamily conceptualized spaces there is room for architectural application.

Explore Architizer’s Tech Directory

Another “local” AI artist is architect Tina Marinaki, who produces AI-generated surreal images of Athens through her Instagram account @athens_surreal. Her images do not suggest architectural propositions but rather reshape the city, often convey contemporary political, social and environmental messages. Last summer, an image of a pink, melting Parthenon told stories of Athens’ severe overheating due to the lack of sustainable environmental practices. A couple of months ago, she posted a pink cluster of Cycladic architecture filled with waterslides and people, which became a testament to the large numbers of tourists that engulf the Greek islands every year.

Both artists use AI technology to craft imaginative spaces that surpass the concretized representations of our current reality. Their work is not merely Instagram-appropriate images but rather a collection of constructed futures that expose worldwide issues, tell captivating stories and suggest thought-provoking spatial solutions. Additionally, they use real-site data in a profoundly non-restrictive way, informing their designs without stripping them of human imagination. In lieu of perishing over window schedules, building regulations, budget restrictions and technical checklists, AI gives architects the freedom to think, design and visualize in a more strategic manner. It offers an alternative type of “speed” that takes on the repetitive tasks, leaving room for pursuing more impactful, creative endeavors.

Instead of viewing it as a “sci-fi threat”, could AI become the saving grace of the architectural profession? Can this technology put architects back on the board, reinstating them as decision-makers rather than decision-doers?

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.



Reference

Interior AI Screenshot
CategoriesArchitecture

7 Top AI Tools for Interior Design

By Zarkon Group,

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

Interior design holds one of the most “intimate” scales of space. It focuses on ambiance, color, materials and textures, lighting as well as the objects and furniture that people interact with on a daily basis. With AI technologies rapidly evolving, designers now have access to an array of innovative tools that streamline processes, enhance creativity and revolutionize the way spaces are conceptualized and brought to life.

From generating design inspirations to optimizing layouts and recommending color schemes, AI tools can become integrated into every designer’s workflow, allowing them to create stunning visual imagery, produce 3D flythroughs and videos and even design custom 3D objects and furniture to populate their designs. So, which AI tools should an architect lean on when designing interior spaces?

Without further ado, here are the top seven AI tools that unlock unprecedented capabilities in interior design.

Best AI Tool for Highly Detailed Iterations

Prome AI is one of the most versatile tools for interior design. From turning sketches to fully realistic renders to using text prompts for producing stunning imagery, Prome AI is the ideal tool for generating an array of design proposals in a few clicks. Features such as Creative Fusion and Image Variation allow interior designers to preserve the structural integrity of their initial sketch, while testing different styles, perspectives and layouts of their design. PromeAI also includes post-production tools for image editing such HD Upscaler, Erase & Replace and Outpainting (i.e., image resizer). Finally, it can transform static images to breathtaking videos, using both image and text prompts.

Best AI Tool for Ideation

Interior AI ScreenshotInterior AI is considered the best AI tool for ideation. Interior designers can “feed” the software photos of an existing space, select specific styles — such as minimalist, bohemian etc. — and let it generate a series of design proposals. Virtual Staging is one of its most powerful tools, through which interior designers can quickly furnish empty spaces through text prompts. Interior AI can also transform sketches as well as SketchUp models into photorealistic renders and 3d flythrough videos.

Best AI Tool for Customisation

Gaia_Generative AI Architect ScreenshotCreated by a team from Cornell University, Gaia: Generative AI Architect redefines the concept of AI as a tool. It is an innovative artificial intelligence system that becomes the designer’s personal assistant. By using its Sketch-to-Render capabilities, text prompts and predefined templates, Gaia gradually learns the distinct style of its users as well as each project’s unique requirements, becoming the designer’s “right-hand AI tool”. Using Gaia’s AI prompt guide along with its community feature, architects and interior designers can communicate effectively and exchange ideas for using AI technology to improve their workflow. Finally, Gaia’s future ambition is to become integrated with existing architecture software such as AutoCAD.

Best AI Tool for Turning 2D Plans to 3D Renders

Coohom is an AI tool that seamlessly transforms 2d drawings into 3d renders. Through its simple, interactive interphase, interior designers can draw plans that can be viewed in both 2D and 3D. Furthermore, using Coohom’s extensive 3D model library, designers can furnish each room and produce multiple layout iterations, which can then automatically become realistic images, videos and 360-degree panoramas.

Best AI Tool for Space Remodeling

MyArchitectAI ScreenshotMyArchitectAI is an AI tool that creates photorealistic renderings through a combination of quick sketching and the use of predefined prompts. Interior designers can upload their sketch onto the platform and select specific styles, materials and even locations to create their renders. For example, they can specify the building’s type (e.g. apartment or villa), their preferred style (e.g. industrial loft or beach house) and even lighting setup (e.g. task or ambient) to set up the scene for their proposal.

Best AI Tool for 3D Modeling

Even through Kaedim is primarily used for game design, it is an excellent AI tool for creating custom 3D models of both spaces as well as objects (e.g. furniture). With its powerful Image-to-Model feature, Kaedim can transform static sketches, precedents or AI generated imagery into editable 3D models, which can then be imported into existing software. Its models are low poly meshes made by quads and separated into watertight parts that can be seamlessly edited by most available 3D modeling programs.

Best AI Tool for Image Editing

Adobe Photoshop is the bread and butter of interior designers. For many decades, its image editing capabilities have surpassed any other software tool on the market. Powered by Adobe Firefly, Photoshop’s new, groundbreaking AI integration is a game changer. With features such as Generative AI, Content-Aware Fill and Object Selection, Interior designers can add elements to their compositions, experiment with different background using text prompts as well as remove or replace content from their images.

How to Better Leverage AI Tools in Architecture

The following tips and considerations will help you maximize the potential of AI in interior design, as well as avoiding common pitfalls associated with this fast-emerging technology.

Beware of Technology Over-reliance: Sometimes automation can become creativity’s killer. Without a doubt, these AI tools offer an array of possibilities to interior designers. Nevertheless, when working in such a small and “intimate” scale it is important to try and preserve originality in each design. Although features such as style selection, 3D model libraries and predefined templates can be a useful to quickly visualize design iterations, it is imperative for interior designers to not forget their own individual, human creativity.

Aspire for a Level of Detail: Another challenge when working with small scale projects is the amount of detail interior designers have to address in order to produce high quality and fully resolved designs. Although AI tools often generate impressive visualizations in a matter of seconds, interior designers need to essentially play a game of ‘spot the difference’, where they closely identify potential issues that may arise during design implementation.

Take Advantage of Customization: Admittedly, the most immediate use of AI technology is to use it directly for generating design iterations and impressive visualizations. Nevertheless, AI tools can become great assets for designing and creating personalized libraries with custom-made materials, color pallets, furniture and even lighting systems. In other words, instead of relying on predetermined templates found on the market, AI technology allows interior designers to easily design and update their own unique “kit of parts” to use in their designs.

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

Reference

Alárò City_Skidmore, Owings & Merrill (SOM)
CategoriesArchitecture

The Future of Urban Planning: How AI Technology is Impacting Smart Cities

By Zarkon Group,

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

Urban planning has always been a complex, large-scale “brain teaser” for architects. It requires the collaboration of several disciplines: architects, urban planners, sociologists, anthropologists, environmentalists and transportation planners, and the coordination of many bureaucratic governing bodies. Throughout time, there have been many urban planning theories, such as Garden City by Ebenezer Howard or Le Corbusier’s modernist Radiant City concept, which explored new modes of city organization and ways of living by suggesting speculative social structures, resource management and nature integration practices.

Following the rapid technological advancements in the early 2000s, the concept of “smart cities” gradually emerged, eventually gaining significant traction during the AI boom. Today, AI technology has opened up new realms of possibility, where algorithms and data are added to the architect’s tool belt, aiming to create sustainable, efficient and livable environments for burgeoning populations. However, first, it is imperative to define what exactly constitutes a “smart city” as well as how architects can employ AI in today’s urban planning practices.

Delving into city design requires two distinctive modes of thinking: ways of designing urban networks and ways of maintaining them. AI-powered design tools can analyze vast amounts of data, such as environmental conditions, demographic trends and urban infrastructure, to propose optimized design solutions that meet specific criteria, such as energy efficiency, pedestrian flow or complex cultural norms.

Alárò City_Skidmore, Owings & Merrill (SOM)

Alárò City by Skidmore, Owings & Merrill (SOM), Lagos, Nigeria

At the same time, architects can leverage AI planning tools to explore a broader range of design possibilities and quickly iterate through multiple schemes, as well as create responsive architecture proposals, which can adapt to changing environmental conditions and user preferences in real time. Responsive architecture designs also foster dynamic interactions between buildings and their surroundings, blurring the boundaries between the built environment and nature and promoting sustainable urban ecosystems.

On the other hand, AI technology can be incorporated in the actual design of buildings, where for instance, sensors and actuators can adjust lighting, temperature and ventilation based on occupancy levels, weather patterns and energy demand. It can also serve as the backbone of interconnected infrastructure systems throughout a city. AI algorithms can analyze traffic patterns to optimize road networks, predict maintenance needs for public utilities, and even detect and respond to emergencies, enhancing the overall resilience and reliability of urban infrastructure. In other words, AI becomes an integral part of a city’s operation and maintenance.

Architizer’s new Tech Directory aggregates tech tools for architects, allowing you to search, compare and review AI softwares before selecting which to you in your next project:

Explore Architizer’s Tech Directory

These AI applications are essentially two sides of the same coin. They expose both implicit and explicit ways of using AI for urban planning and thus broadening the definition of “smart” cities. For instance, projects such as Liam Young’s Planet City, present a new mode of urban design which could potentially be characterized as an archetypal “smart city”. While the use of AI technology is not explicitly stated, Planet City introduces concepts of interactive solar panels for powering the ten billion population imaginary city. It also presents a rather eccentric idea of having a non-stop planetary festival, where different cultural celebrations are revisited throughout the year to preserve the cultural diversity of human civilization.

These two examples of AI-driven practices push the boundaries of traditional urban planning. More specifically, the first is an obvious case of responsive AI technology that leads to a more sustainable living, whereas the second one suggests employing AI algorithms to collect sufficient data and propose optimal cultural and social structures within the new city.

SmartCity Springpark Valley

SmartCity Springpark Valley  by planquadrat Elfers Geskes Krämer GmbH, Bad Vilbel, Germany

Another world-famous project, well-known for its AI integration, is The Line: a futuristic city currently being built in Saudi Arabia. NEOM, the company behind The Line, stated its ambition to create a digital twin backbone through the use of AI tools that will aid the city’s construction and minimize carbon emissions and material waste. Still, a “smart city” does not necessarily have to be a tabula rasa project. Using AI tools to improve existing cities that carry hundreds of years’ worth of human history might arguably be the most important endeavor in urban planning.

One example is the Barcelona Smart City Project, which revitalizes public squares and parks and integrates AI technology such as smart lighting and noise sensors, thus enhancing the city’s livability. Furthermore, Barcelona embraced open data initiatives, thus encouraging the development of numerous urban planning tools and real-time information hubs that continuously improve the city’s operation and maintenance.

Admittedly, designing as well as managing a city is no simple task. Still, whether acting as a medium through which provocative thought-experiments are designed (speculating about future urban design practices) or offering ways of utilizing data to physically realize innovative building environments, AI offers tremendous potential for reimagining urban spaces. By tackling the challenges of the world’s largest urban metropolises and striving for pioneering urban regeneration practices, AI becomes a catalyst for creating more equitable, inclusive, and resilient cities for generations to come.

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

Reference

Sora for Architects: Will OpenAI's Text-to-Video Enhance and Streamline Future Design Practices?
CategoriesArchitecture

Sora for Architects: Will OpenAI’s Text-to-Video Enhance and Streamline Future Design Practices?

By Zarkon Group,

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

As I opened the OpenAI website, the phrase “Creating video from text” immediately caught my attention. A video of colorful paper planes soaring like birds through the air made me pause momentarily. Could this be real? Is it truly possible to transform text into videos? Instantly, a flood of thoughts rushed through my mind.

What does this mean for the movie industry?

Could filmmakers simply submit scripts to OpenAI and produce movies without actors or sets?

Could a single prompt revolutionize television shows, commercials, and the work of videographers and photographers?

Is there potential for such technology to be exploited during election season?

The recent launch of Sora by OpenAI showcases a groundbreaking advancement in the field of artificial intelligence and its versatile application across various domains. At the rate of development, this AI tool is heading in the direction of becoming an indispensable asset that could offer architects unprecedented capabilities, potentially revolutionizing their approach to design.

With a background in architecture, I’m particularly intrigued by its potential to transform the day-to-day creative processes intrinsic to the work in the field. In the ever-evolving landscape of design and architecture, technological advancements continuously emerge, challenging conventional boundaries and fundamentally reshaping the essence of creativity. This piece will delve into how Sora could trigger transformative shifts in the world of architecture and design.

Sora as Design Partner

I don’t perceive Sora as a replacement for designers or architects; instead, I see it as a tool that could enhance their work by enriching the design process and serving as a collaborative design partner to amplify human creativity. Sora works by dissecting, compressing and assembling video segments, similar to solving a puzzle, to create realistic videos. It also excels at generating dynamic animations from text and animating still or extracted images from videos.

Architects could leverage Sora’s vast knowledge base and computational powers to explore a multitude of design possibilities. Similar to Midjourney, in generating imagery from prompts, Sora could provide an immediate and immersive representation of specific objects, designs and project sites, offering a highly realistic experience. For architects, this could mean no longer having to wait until the design process concludes for realistic renderings, VR video walkthroughs and virtual tours. Instead, it can provide realistic imagery that enhances the project as designs evolve during the process.

From Concept to Reality: Streamlining Design Processes

Traditionally, architects dedicate significant time and resources to conceptualizing and refining their design ideas. However, with Sora’s advanced generative design capabilities, this paradigm is set to change. By harnessing machine learning algorithms and predictive modeling, Sora could empower architects to generate complex design solutions tailored to specific requirements and constraints swiftly. Imagine how different the concept design phase will be when you can prompt Sora with precise materialities and construction techniques tailored to your building’s requirements. This capability could enable optimization of building performance, maximization of spatial efficiency and enhancement of sustainability instantaneously —  all with a single prompt.

During the early stages of conceptual design, this tool could facilitate rapid exploration of fundamental design concepts, commonly known as “massing studies.” It could enable the creation of initial design studies directly from conversations, streamlining the ideation process significantly. This could be a valuable source of inspiration for the design team during the brainstorming phases, where all imaginative ideas are welcomed.

Here is an example of how I would approach using Sora by OpenAI:

Image generated by Architizer via Midjourney

Prompt #1 (Highly unspecific, beginning to brainstorm):

“Sora, generate video clips exploring different building massing options for the site in downtown Los Angeles. Experiment with a series of heights, configurations, and styles to convey spatial qualities and design ideas. Incorporate contextual elements like landscaping and surrounding buildings. Provide animated transitions between iterations for visual clarity and to facilitate early design discussions.”

Prompt #2 (Slightly more specific, beginning the concept design phase):

“Sora, illustrate three distinct massing options for a mixed-use development on a 1-acre urban site in downtown Los Angeles. Include variations in building height, orientation, and architectural style, with animated transitions between iterations. Implement a design where the building progressively lowers its height towards the street level, fostering a pedestrian-friendly environment. Incorporate street-level retail, public plazas, and green spaces to provide contextual understanding. Ensure high-resolution rendering and clear annotations for stakeholder feedback.”

Prompt #3 (Highly specific, design development):

“Sora, showcase Massing Option 3 for the downtown Los Angeles development. Implement a design where the 10-story building progressively lowers its height towards the street level at both corners of the site, fostering a pedestrian-friendly environment. Emphasize a modernist architectural style with circular perforated metal panels in copper and warm-toned wood cladding. Use animated transitions to highlight the interplay of light and shadow on the façades, showcasing dynamic reflections and textures.

Detail street-level retail entrances with polished stainless steel finishes and large glass storefronts. Enhance upper-floor terraces with seamless indoor-outdoor transitions and integrated planters. Highlight the rooftop garden with lush greenery and contemporary seating. Ensure the video conveys sophistication and urban elegance with attention to materiality, colors and façade detailing.”

Image generated by Architizer via Midjourney

This design approach would not only speed up the creative iteration process but could also streamline interdisciplinary collaboration. Architects would be able to integrate input from various consultants, including engineers, urban planners, and environmental experts in later project phases, bringing architectural visions to life with striking realism.

Designing for Human Experience

At the heart of every architectural endeavor lies the goal of creating spaces that enrich the human experience. With Sora, architects could gain access to powerful tools for analyzing user behavior, preferences, and spatial interactions. By synthesizing vast amounts of data, including user feedback, environmental factors, and cultural influences, this technology could enable architects to design spaces that resonate with occupants on a profound level. Integrating Sora as a plugin within the commonly used Rhino 3D modeling software could empower architects to create detailed models with enhanced design capabilities. Whether helping craft immersive environments that foster creativity and well-being or optimizing building layouts for accessibility and inclusivity, Sora could be a tool to help architects prioritize human-centric design principles, ultimately enhancing the quality of the built environment and enriching the lives of those who inhabit it.

Design development

As concepts materialize and visions evolve, architects transition to refining details and perfecting the finer aspects of their creations, presenting an opportunity for Sora to emerge as a valued design partner. Client meetings could evolve into interactive sessions, leveraging Sora to promptly incorporate client feedback on the fly. With its ability to simulate materials, construction methods, and building performance, Sora could enable architects to refine every aspect of their designs with precision and efficiency, enabling clients to visualize the ongoing work and decision-making process in real-time.

Pushing the Boundaries of Sustainability

Image generated by Architizer via Midjourney

In an era defined by pressing environmental challenges, sustainability has emerged as a central concern in architectural practice. Here too, Sora stands to make a significant impact. An architect versed in sustainability could guide the integration of a passive solar design strategy and the optimization of material usage, facilitating the creation of eco-friendly buildings without compromising design integrity through data-driven energy performance simulation.

For instance, a key part of an architect’s job involves meticulously studying how light interacts with buildings, observing where the light hits and where shadows fall. Understanding the sun’s patterns and its influence on a design is essential. One might request simulations to optimize building orientation, window placement, and shading devices, with the aim of maximizing natural daylight, minimizing reliance on artificial lighting, and reducing energy consumption. Even wind simulations could be conducted, exploring various scenarios to understand how wind direction and intensity might impact the building on the site. Sora could empower architects to explore and assess sustainable design options, resulting in energy-efficient buildings that effectively harmonize with their surroundings.

Looking Toward the Future

The way I envision Sora is as a valuable addition to a team of talented designers, capable of delivering high quality results at high speed. While not all ideas or solutions may be optimal, Sora could undoubtedly spark new conversations and introduce novel concepts that others may not have considered, serving as a foundation for future design iterations.

As it continues to evolve, Sora’s data-driven approach could help architects push the boundaries, rethink design norms, and aide in designing spaces that inspire and last. It could facilitate informed decisions, streamline workflows, and even accelerate project timelines. With its boundless creative potential, Sora could serve as a catalyst for groundbreaking innovations in the creative world. Unlocking limitless possibilities, it has the potential to enhance and streamline the design process across all stages, revolutionizing future approaches and practices in design.

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

Reference

alt="Photo_of_the_Sagrada_Família_in_Barcelona,_by_ChatGPT_4.0,_Dall-E_3.0_(2024)"
CategoriesArchitecture

Human vs. Machine: Striking the Balance With AI in Architectural Design

By Zarkon Group,

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

‘Will artificial intelligence (AI) replace architects?’

This question has been at the forefront of several discussions that have been vibrantly presenting many dystopic scenarios where big data, algorithms and machine learning will eventually replace human creativity and intuition. However, AI technology existed long before the AI bloom, rarely causing excessive panic within creative fields. So why is AI technology suddenly so threatening to the architectural profession?

Looking back at science fiction movies, AI was oftentimes presented as a human avatar that could accomplish assignments, make calculations and provide insightful information in unprecedented speeds. Nevertheless, it never performed extremely creative tasks. It was always depicted as a trusted artificial “advisor” capable of processing large amounts of data and automate complex procedures.

When platforms such as Midjourney, DALL-E and Stable Diffusion were introduced to the world, the creative skills and intuition necessary to visualize spaces and settings were abruptly redefined. Consequently, AI technology became a tool for generating impressive compositions and rapid design prototyping through the use of simple text prompts, eliminating the need for manual drawings or an overall architectural knowledge.

At the same time, a different set of tools was developed. AI apps such as qbiq and Laiout have the ability to process data, thus optimizing building sustainability and offer design solutions that are in accordance with local building codes. This type of AI software follows the more familiar pattern of speedy data processing, resulting in designs based purely on logical thinking. For the architectural profession, making this distinction between “creative” and “logical” AI algorithms is crucial.

Architizer’s new Tech Directory aggregates tech tools for architects, allowing you to search, compare and review AI softwares before selecting which to you in your next project:

Explore Architizer’s Tech Directory

On the one hand, even though “logical” AI tools are able to generate countless design iterations based on predetermined parameters, they lack the nuanced understanding of cultural context, emotional resonance, and human experience. There’s also a risk of homogenization, where buildings designed by AI algorithms may lack the diversity and richness that stem from individual human perspectives and cultural influences. Another challenge lies in the inherent biases embedded within AI algorithms.

Machine learning models are trained on historical data, which may reflect societal biases and perpetuate inequalities in architectural design. Without careful oversight and intervention, AI algorithms could inadvertently reinforce existing biases related to race, gender, socio-economic status, and accessibility, leading to inequitable outcomes in the built environment. Admittedly, the risks associated with data-driven AI technology and architectural design are well-known and somewhat obvious. In such a subjective discipline, logic alone is not enough to create spaces that are truly regarded as pieces of architecture. Design is partially an instinctive process that is unique for each individual architect and cannot be replicated by any intelligent machine.

“Creative” AI algorithms, however, pose a different type of challenge since they bring an ‘unpredictability factor’ to the table. Instead of relying purely on data, text-to-image generators produce designs based on subjective (human generated) prompts. Instead of spending numerous hours sketching, drawing and model making, “creative” AI apps can generate countless concepts in a matter of seconds by simply feeding them client briefs. Nevertheless, while they seem ideal for producing impressive concepts for early stage design, the images they create are fairly fictional. Ironically, they lack data.

Even during the initial brainstorming phase, architects do consider an array of objective as well as subjective information regarding their project. From climatological site conditions to potential present or future occupants and even immaterial data such as past histories, myths or cultural norms. This framework of complex interrelationships becomes the blueprint for designing for specific sites, people and cultures, adopting a holistic approach towards proposing creative and innovative solutions.

There is no doubt that both “logical” and “creative” AI algorithms have become ‘trusted advisors’ for many architects. “Creative” AI tools are ideal for showing design intention, representation and visualization. In other words, they bridge the communication gap between architects and clients. In parallel, “logical” AI tools can rapidly access and process information such as planning codes or material specifications and energy reports. During the technical and construction stages, many AI apps can automate processes and produce standardized drawings seamlessly and with minimal effort.

In short, both types of AI tools are two sides of the same coin, showing both promise and peril. Still, as long as architects are aware of AI limitations, integrating the technology into their workflow can provide valuable insights and inspiration, inform decision-making and ultimately enhance the practice of architecture. Architects have always been the mediators between logic and creativity, with AI being no exception. This paradigm shift presents an opportunity as well as a challenge, which — if navigated correctly — will enable architects to focus on what they do best: creating innovative, human-centered and culturally significant spaces.

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

Reference

alt="Midjourney"
CategoriesArchitecture

7 Top AI Tools for Architectural Rendering and Visualization

By Zarkon Group,

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

Architectural rendering is not a foreign concept. During the Renaissance, Italian architects such as Leon Batista Alberti, Filippo Brunelleschi and Donato Bramante used axonometric sketches and carefully hand-drawn perspectives to communicate their designs. In the late 20th century, however, the hand-drawn renderings gave way to computer-generated images. Suddenly, what took countless hours of careful color washing and shadow hatching became a task of playing around with sun values and texture mapping within a three-dimensional, digital environment. With the emergence of AI, the art of rendering has transformed into an act of guided wordplay: a new, innovative way of digital collage-making.

Still, the “original” artistry of architectural rendering is not lost. Even though the architect’s hand has been replaced by computer algorithms and machine learning processes, utilizing AI visualization tools requires the same amount of ingenuity, creativity and exploration. Architects can push architectural visualization’s boundaries through word prompt testing, digital collage exploration, and even hand-sketch-to-rendering experiments, producing more vivid and immersive designs than ever.

Without further ado, here are the top seven AI tools that unlock unprecedented architectural rendering and visualization capabilities.

Best AI Rendering Tool for Text-Prompt Imagery

alt="Midjourney"Midjourney is perhaps the most well-known AI visualization tool in the architectural industry. It is currently available via the Discord server, where users collaborate with the Discord bot to generate conceptual imagery. Midjourney has three basic operational commands: the “/imagine” command uses text prompts to produce a set of renderings, the “/blend” command which enables architects to blend two images together and finally, the “/shorten” command which suggest alternative, shorter, prompts to achieve better results. It also offers additional text abbreviations such as image ratio control and negative prompting – i.e., elements that are excluded from the composition.

Learn more and review this tool >

Best AI Rendering Tool for Modifying Images

akt="Stable Diffusion"Stable Diffusion is also a text-to-image and image-to-image model released in 2022, based primarily on diffusion techniques, which — in the case of computer generated images — include tasks such as denoising, inpainting and super resolution. Apart from generating visual renderings through text prompts, Stable Diffusion is an amazing tool for image modification. More specifically, features such as inpainting involves selecting specific portions of an existing image (layer masks) for more precise rendering editing. Adding or removing noise and depth or enhancing specific image details through a combination of text and image prompts, allow architects to create sharper quality renderings.

Learn more and review this tool >

Best AI Rendering Tool for Cohesive Visualizations

DALL·E is an AI rendering tool developed by OpenAI, a research organization renowned for releasing the famous text-to-text model, ChatGPT. DALL·E’s immediate interrelation with ChatGPT, provides a great advantage regarding the tool’s text-to-image capabilities. More specifically, DALL·E is often able to “fill in the blanks” when generating an image, without necessarily relying fully on text prompts. For example, it might suggest additional reflections and shadows to make the composition more holistic or even remain consistent to a predefined visual style, distinguishing for example between painting or photorealistic imagery. Similarly to Stable Diffusion, DALL·E is able to alter specific parts of an image through text prompts.

Learn more and review this tool >

Best AI Rendering Tool for Fine-Tuning Images

alt="Evolvelab Veras"Veras is a powerful AI-visualization app. The software can be used as a plug-in for popular architecture programs such as SketchUp, Revit and Rhinoceros, as well as a standalone web-based rendering tool. It is ideal for effortlessly manipulating BIM generated visuals, modifying their ambiance, style and lighting and even their geometry. Features such as the Geometry Override Slider, the Render Selection and the Render Same Seed allow architects to fine-tune their designs, while exploring multiple concept iterations in real-time rendering and without any 3d-modeling constraints.

Learn more and review this tool >

Best AI Rendering Tool for Early-Stage Concepts

LookXAI is an AI rendering tool that is ideal for early-concept iterations. As a highly customizable (and trainable) AI model, it allows architects to upload a series of reference images or precedents to generate initial design ideas. LookXAI includes features such as Style Adapter, Vocab Template and even a Prompt Assistant to aid architects in enhancing the quality, depth, architectural precision and style of their renderings. It also incorporates an Upscale Image feature to easily correct imperfections and enhance the quality of the image.

Learn more and review this tool >

Best AI Rendering Tool for Stylizing Images

mnml.ai is a revolutionary AI tool that eliminates the endless tinkering of lighting parameters in 3d visualization software. By simply uploading a rough image of the design, mnml.ai has the ability to convert it into numerous visualization styles: from day to night shots and from sketches to realistic imagery. In fact, the software has the ability to transform plain sketches into fully rendered shots and even use text prompts to control details such as colors, finishes and lighting in both exterior and interior visuals.

Learn more and review this tool >

Best AI Rendering Tool for Quick Visualizations

alt="ArkoAI"Similar to Veras, ArkoAI is also a plug-in for popular architecture software. Being, however, a cloud-based platform, its powerful rendering capabilities are ideal for quick and flexible material iterations on existing 3d models. Using simple text as well as added parameters to control the amount of effect the prompts will have on the model, architects can transform their clay renderings and shaded views into complete design proposals.

Learn more and review this tool >

How to Better Leverage AI Rendering Tools in Architecture

The following tips and considerations will help you maximize the potential of AI in architectural visualization, as well as avoiding common pitfalls associated with this fast-emerging technology.

Watch out for the elephant in the room: It is true that AI rendering software holds an impressive ability to transform ideas into very “convincing” realities. Text prompts, image-to-image models and sketch-to-rendering features enable architects to quickly reach to a finished design. Oftentimes, however, these designs may lack refinement, consideration and partially the human touch leading to proposals that may not be plausible or realistic. AI rendering tools are ideal for inspiration, experimentation and early idea representations. Nevertheless, it is important to retain creative control over an AI generated image, paying close attention to details such as material textures, lighting effects, and spatial proportions.

Beware of the plagiarism trap: It is widely known that AI technology is trained through an array of information found on the web. In the case of AI-generated renderings, architects may use preexisting images to feed into the AI tool in order to reach the desired result. Even though there have not been any clear guidelines so far on how to approach this subject, being mindful of image copyrights and licensing principles might spare users future complications and ethical considerations. In fact, using originally produced sketches and other forms of imagery to feed the AI tools may not only prove to be more ethically sustainable but also generate far more authentic and unique results.

Don’t reinvent the wheel in every rendering: Similar to any other creative process, using AI tools to produce rendered visualizations is a matter of trial and error. Writing prompts, setting AI parameters and experimenting with different image combinations are some of the skills architects need to cultivate in order to master AI visualization. Still, since the AI Spring – and as it happens in any major technological bloom – there have been numerous courses, communities and even cheat sheets for successfully operating AI technology. Architizer’s Ultimate AI Cheat Sheet for Architects and Designers! as well as its Instagram midjourneyarchitecture page provide great tips, insights and inspiration for every aspiring architect who wishes to enter the world of AI architectural visualization.

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.



Reference

alt="qbiq Screenshot"
CategoriesArchitecture

7 Top AI Tools for Generating Smart Architectural Plans

By Zarkon Group,

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

In the realm of architectural design, “the plan” is considered one of the two fundamental drawings for creating space. It is primarily an organizational drawing that considers a plethora of factors to shape spaces through creative processes. Integrating Artificial Intelligence (AI) tools in architectural planning has emerged as a transformative force, revolutionizing traditional approaches and ushering in a new era of innovation.

AI brings a multifaceted set of capabilities that not only expedites the design process but also augments the overall efficiency and sustainability of architectural proposals. From generative design that explores a multitude of creative possibilities to sophisticated simulations predicting energy performance, AI empowers architects to make informed decisions and optimize their designs without however sacrificing their capacity for imaginative exploration.

Without further ado, here are the top seven AI tools that unlock unprecedented capabilities in architectural planning.

Best AI Tool for Creating Office Plans

alt="qbiq Screenshot"

qbiq is an AI software that is suitable for producing efficient planning layouts for office spaces. Acting as the architect’s co-pilot for office designs, qbiq delivers a full-suite planning solution. Architects follow the process of uploading a simple “shell” of their building, showcasing the overall usable space in each floor.

qbiq produces three ‘Test fit’ alternatives in the form of analytical furniture plans as well as immersive 3D virtual tours. Furthermore, each solution is accompanied by a performance analysis report that breaks down the properties in each space. Factors such as privacy, daylight access, density ratios and open versus enclosed spaces are the primary data used to evaluate each layout scenario, helping architects to quickly reach the most optimal solution.

Learn more and review this tool >

Best AI Tool for Collaborative Planning

Hypar is considered the best AI tool for design automation and collaboration. Performing as a cloud platform, Hyper allows architects to efficiently collaborate with other construction industry professionals and accelerate both the design and construction process. The software includes a library with preset building systems such as plumbing, mechanical and electrical schematics as well as structural charts that can be integrated in a project. Being a web-based accessible tool, Hypar allows architects, engineers and contractors to easily integrate their respective designs and building systems through real-time rendering and produce highly coordinated plans that are ready for construction.

Learn more and review this tool >

Best AI Tool for Creating Urban Plans

alt="TestFit Screenshot"

TestFit is among the top AI tools for feasibility studies and urban planning projects. Its main goal is to eliminate the more tedious aspects of a large-scale project, such as counting housing units or parking spots, thus allowing architects to truly delve into the creative aspect of their project. The software uses site data such as topography, flood maps and building regulations as well as additional parameters set by architects, to generate layout options for a plethora of building typologies: multi-housing projects, retail stores, hotels, industrial sites and even parking lots. TestFit’s most innovative asset is its real-time rendering capabilities and rapid iterations as well as its ability to integrate with some of the most popular design programs on the market.

Learn more and review this tool >

Best AI Tool for Site Analysis Plans

alt="Aino Screenshot"

Prior to designing, architects usually spent a significant amount of time analyzing their project site. Form historic data to environmental conditions and even public transport maps, Aino transforms site analysis data into actionable and insightful maps. Architects can use the software to ask questions about their site by simply typing a few words into a search bar. The spatial data can then become visually represented through graphs, charts and geo-referenced locations placed on a map.

Aino allows architects to choose from multiple visualization style options and uncover connections between data sets. The software is also ideal for collaboration, offering an interactive interface that can be smoothly embedded on countless web platforms.

Learn more and review this tool >

Best AI Tool for Data-driven Plans

alt="Finch Screenshot"

Finch’s primary goal is the production of data-driven, optimized architectural plans. More specifically, it allows architects to make correlations between factors such as CO2 efficiency and material selection or circulation areas and occupancy ratios. By using advanced algorithms, Finch calculates the most optimized combinations and generates an array of possible layout scenarios. The architectural plans are instantly reconfigurable through real-time processes. Every plan is backed up with instant numbers and figures as well as a built-in error prevention tool, which ensures that each design is compliant with building regulations and sustainability requirements.

Learn more and review this tool >

Best AI Tool for Creating Residential Plans

CONIX.AI offers a cutting-edge solution for optimizing residential plans. Architects simply draw their land on Google Maps and input the necessary building requirements. The program suggests multiple design proposals and layouts, starting from basic zoning diagrams that eventually become detailed, furnished residential plans. In fact, architects are able to set additional presets for each design by selecting specific housing typologies, such as villa or apartment, as a blueprint. Recognizing the power of human ingenuity, CONIX.AI also offers the ability to manually customize each drawing, promoting a true synergy between architects and AI tools.

It is important to note that CONIX.AI was developed for the Saudi market and includes tools specific for the Saudi Building Codes. Nevertheless, it allows architects to input their own, custom requirements, offering better control over their designs.

Learn more and review this tool >

Best AI Tool for Creating Zoning Layouts

alt="Laiout Screenshot"

Laiout is one of the most promising AI software tools for early-stage design projects. Architects upload their initial floor plans, and the program starts generating an array of zoning diagrams, accompanied by detailed statistical data. Using a set of preferences, the zoning layouts can be tweaked to match the desirable plan of the space. Laiout also offers a Freeze/Regenerate tool, in which certain areas can remain intact while others are modified, eventually producing a more intentional and controlled result. Finally, the software has the option of turning the zoning diagrams into furnished plans.

Learn more and review this tool >

How to Better Leverage AI Tools in Architecture

The following tips and considerations will help you maximize the potential of AI in architectural design, as well as avoiding common pitfalls associated with this fast-emerging technology.

Adopt a Critical Approach: Using AI software for inspiration and assistance, especially for completing the more mundane aspects of architectural planning, is a great way to utilize such tools. Still, it is imperative to not fully rely on them and approach each design iteration with a critical attitude. Depending too heavily on AI software, might lead to architectural plans that fail to address the more delicate and human-centric aspects of design and potentially ignore context-specific nuances.

Validate Every Result: AI tools are based primarily on specific databases. In other words, their results are as valid as the data they are trained on. As a result, false or outdated information may lead to unrealistic designs that, for example, do not comply with current building regulations or even produce incorrect site analysis maps. By regularly reviewing AI-generated designs, architects can ensure that the drawings align with the relevant project requirements. As an additional precaution, architects who have access to the primary databases can regularly update them, minimizing any potential risks for false results or biases.

Set up Streamlined Workflows: AI software is becoming an integral part of an architect’s toolkit. Nevertheless, incorporating it in a pre-established workflow often poses a challenge. Choosing AI tools that easily “plug-in” with existing architectural programs will drastically boost performance and reduce any assimilation issues. Admittedly, a tailored workflow is every architect’s bread and butter and therefore, seamless integration practices encourage architects to try new, innovative tools that elevate their design process.

Join AI Forces: In the past couple of years, countless options for AI tools have been developed. This is an opportunity to try different combinations of multiple AI programs in order to collectively elevate the efficiency of architectural planning endeavors as well as cross-check the resulting designs. By combining different types of generative design algorithms with machine learning capabilities, architects gain the power to explore an extensive array of creative solutions. Combining AI tools for data analysis, site evaluation, compliance checking and speedy iterations streamlines workflows, mitigates risks and stretches out the possibilities of AI technology even further.

Architizer’s Tech Directory is a database of tech tools for architects — from the latest generative design and AI to rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

Reference

100+ Top Tech Tools for Architects and Designers
CategoriesArchitecture

100+ Top Tech Tools for Architects and Designers

By Zarkon Group,

If there is one thing architects love almost as much as designing buildings, it’s the technology they use to do it! Throughout the past decade, of all the thousands of articles Architizer has published, those related to tech have garnered many millions of views, and the number shoots up daily. Whether it’s SketchUp plugins, AI tools, design-foward laptops, or any number of rendering tutorials, architects and designers have shown an insatiable appetite to learn about technology that can augment their workflow and help realize their client’s perfect project.

It makes perfect sense then, for Architizer to provide a permanent home for these tools — a place where architects and designers can research and learn about the ever-evolving landscape of AEC technology and keep ahead of the curve.

To this end, we are thrilled to announce the launch of Architizer’s Tech Directory, a database of tech tools that benefit all those involved in architecture, from concept to construction.

The directory features the latest generative design and AI (artificial intelligence) software, as well as listings for rendering and visualization, 3D modeling, project management and many more. Explore the complete library of categories here.

Without further ado, check out the first 100+ tools to make the platform:

Explore Top Tech Tools for Architects

Screen recording of Architizer Tech Directory for Architects

Review Your Favorite Architectural Tools — and Get Featured!

A key element of the Tech Directory is the ability for users to write reviews. Architizer is a community-based site, and there is incredible potential for architects and designers to share knowledge and gain insights on the latest AEC technology through this platform.

If you have a tech tool that you love and rely on to do your best work, we encourage you to search for it in the Tech Directory and leave a review for others to read! We’ll include select quotes from the most insightful reviews in upcoming editorial features, offering you the chance to become a thought leader in AEC technology.

Write a Tech Review

Writing a review is quick and easy: Simply go to the Tech Directory, click ‘Sign In‘ in the top right corner, and create your Tech Directory user profile (this is distinct from your Architizer profile, if you have one). Then, search for and select the tool you’d like to leave a review for and click ‘Write a Review‘. You can give the tool a star rating (from 1 to 5) and write your thoughts about the tool.

Try to include as much detail as possible: What are the best features of the tool and why? What differentiates the tool from its competitors? Does the tool have any missing features or drawbacks?

Comprehensive, authentic reviews will help grow the utility of the Tech Directory, and provide the brands that make these tools with valuable insights they can use to improve their products in future. We’ll share more on how to create a good review in an upcoming editorial feature, so stay tuned!

Make Architectural Software or Hardware? Add Your Listing for Free

The Tech Directory launches with just over 100 tools, but this is just the beginning: We invite all makers of architectural software and hardware to create their own listings, and help us grow this database into a comprehensive home for architectural technology.

A basic listing is free to create, and you can get started here (all listings are subject to approval from Architizer’s editorial team before they go live). Architizer’s editorial team can help you perfect your profile and guide you on how to best promote your listing. (Hint: Start by inviting your super fans and power users to leave an insightful review about your tool!)

Create a Listing

Beyond the free listings, there are Professional and Enterprise Plans for those looking to enhance the visibility of their brand and provide prospective clients with more insights into their tools. Those on the Professional Plan can upload more images, enabling them to add additional screenshots, case studies and product shots. They can also add an email contact to their profile, and will see their listing prioritized in the featured section of the Architizer Tech homepage.

In addition to these features, Enterprise members can add videos to their listing, enabling them to include showreels, demos, and tutorials as desired. They can also add a contact phone number and additional details to their listing — click here to see a full list of subscription benefits.

Architizer Tech Directory Categories InfographicWe hope you enjoy exploring the Tech Directory and find it useful when doing your research into the latest architectural technology. As noted, this is just the beginning: We plan to develop this platform into a comprehensive directory that will benefit everyone in the construction industry.

Ultimately though, the success of the directory will come down to you: The people that use these tools every day. Reviewing your favorite applications will give your go-to brands priceless insights and feedback that they can then use to improve their products, creating a virtuous cycle of technological innovation. As mentioned, your review might just get you featured in our next editorial!

With this in mind, we look forward to seeing your thoughts on the top tech tools for architects — head this way to get started!

Reference

Plot Twist  —  Generative AI May Actually Encourage Architects to Draw MORE
CategoriesArchitecture

Plot Twist  —  Generative AI May Actually Encourage Architects to Draw MORE

By Zarkon Group,

Keir is an AEC Domain Expert operating at the intersection of architecture practice, sustainable development and software design. With over 15 years in practice, he has crafted high-quality projects across various sectors, including education, health, housing, and workplaces. He helps Architects, Clients and Startups thrive in an ever-changing industry. Connect on LinkedIn.

A new week, a new way for Generative AI to blow our minds.

Images generated from text prompts have now filled my news feed; they have swiftly ascended the viral ladder, caused heated debates and gained ‘meme status.’ When these arresting visuals started appearing, it felt like each novel experimentation demanded our close attention: “What has this inexplicable new tool done now?!”

Yet modern attention spans are increasingly short, and bold imagery can quickly become ubiquitous. Our sense of wonder is easily replaced by boredom and ambivalence.
Incredibly, the development of Generative AI actually appears to be evolving faster than our agitated modern attention spans. Just as I was beginning to become nonplussed by the latest hybridization of Batman X The Simpsons, I discovered sketch-to-render.

Most people are familiar with models that use simple text prompting, where you describe everything about a composition using words only. Much can be achieved with these tools, but when it comes to exact composition and configuration, you are working at the model’s behest. However, fewer architects are aware that you can now combine an image with a text prompt to further your creative control.

While these are enormously promising developments, it has been hard to understand exactly how an architect might be able to use these tools. How can we use them to augment the design and visualization processes we are already doing? In architecture, we work in the gritty reality, not the synthetic imagination of AI. Planning and construction is a messy business that requires precision solutions.

Yet, sketch-to-render is a different kind of approach and takes user control to the next level again, utilizing an additional step in the generation feature called Control Nets, which allow for far greater control over how an image is constructed and where the trained model will go to work on a composition. Think of Control Nets as a framework or bounding box within which the AI will go to work — it puts you in the driving seat of the model’s explorations.

Sketch by author (of NWLND’s “Refuge” project), render produced in Prome AI

Sketch-to-Render

This is a 20-minute process and the idea here is to go straight from primitive line work to vivid render.

Midjourney can produce incredibly high quality and vivid imagery, but offers limited control over the exacting composition of the subject matter. For fields like architecture, the ability to fix the areas within an image around which the model will iterate is absolutely essential for actual tool adoption and use.

There are now various methods to combine generative image tools with ‘fixed’ image subjects and composition to give more exacting control over a single viewpoint and to then iterate ideas on top.

Here are some good emerging methods that are worth experimentation:

  1. Control Net: A Stable Diffusion model that creates an abstract segmentation using a preprocessor and then combines this with a text prompt. The install is complicated for regular users and the software needs a powerful computer. If you can’t run this locally due to hardware, you can now do it on the cloud, where the Stable Diffusion with ControlNet is now being hosted by various providers.
  2. PromeAI: The easiest interface that I’ve tried for sketches, complete with preset filters and styles.  Its mostly free baseline features are powerful and worth a play. The workflow is simple just login, upload a sketch or hidden line view, add text description prompts and off you go.
  3. Veras: This works directly within the viewport of everyday software interfaces (SketchUp/Rhino/Revit). It is simple and easy to use and is frictionless because it’s a 3D CAD plugin. The more detail and surface materials you can add, the better it will do at recognizing components.

Example of varied rendered outputs produced from the original sketch

Sketch-to-Render-in-Context

This is a more complex process and takes about 30 minutes once you understand how to do it.

The direct sketch-to-render tools are great to use, but having experimented with them in detail, I felt they were best suited to interior design work only. When it comes to external envelope and massing, we always need to place our ideas in context and render with appropriate scale, visualizing the buildings and landscapes within which they sit.

Then, I discovered the idea of using two control nets together: one for a process called “in-painting” and the second for the sketch proposal. There is quite a bit of trial and error to get the workflow right, but it’s made possible by running Stable Diffusion with ControlNet model on your local machine and is repeatable for any photo and sketch combo (provided you can draw).

Photograph taken by author of an imaginary development site while on a cycle ride home

The aforementioned simple “sketch-to-render” process works with one ControlNet active. However you can now use Stable Diffusion with a second ControlNet at the same time which can be used for a process called  “in-painting” and this allows you to tell the model exactly which parts of a source image you want to experiment with and which you want to leave exactly as they are.

What I love about this application of Generative AI is that it relies solely on your direction and discretion as a designer and what you do with the pen. It takes out the “middle-man” of painstaking digital modeling of an idea and goes straight to vivid imagery. This is rendering without the hours of boring 3D modeling.

In a world where you can get straight to a high-quality render with just a site photo, a sketch and an ability to describe your idea in the form of an effective prompt, you immediately bypass the need to build detailed 3D models of initial concept ideas.

Design sketch by author, drawn quickly directly on top of original photograph.

Arguably, most major practices working with developers have to run projects with a high degree of waste. Options are tested, digitally modeled in 3D, rendered, photoshopped and  perhaps mocked up quickly in foam or card model for a client to review.  Then we respond to comments, requests for changes, new constraints, new information and a continuous process of change occurs.

Throughout this design process, each rendition must be exhaustively conceived, drawn and modeled before it can be vividly represented in context; this means much of the previous work is discarded or inevitably thrown away almost immediately. Quick iteration tooling could massively reduce the waste and grunt work associated with the process we call “optioneering.”  This term is not used affectionately in practice because it can feel so non-linear, but unfortunately some form of option testing is always required to discover a design and each option requires lots of time and energy.

Screenshot produced by author showing process of in-painting using Stable Diffusion with 2no ControlNets – the black area tells the model which part of the image to experiment upon

In a race to produce powerful concept imagery for a new feasibility study or competition, someone who can draw their ideas well is going to beat 3D modeling in turnaround time and speed of iterations using a tool like this .

Soon, clients will be getting rendered ideas in a matter of days from a commission, not weeks. Their expectations about what is possible in a given time frame are going to change — and quickly.

There remains loads of space for improvement, but the foundation is there for a very different approach to design and visualization that could be really empowering for architects (and clients too).

Final Image produced by author using Stable Diffusion with two ControlNets for an imaginary project in Herne Hill, London. The image was produced in less than an hour including sketching time.

My first attempt is a bit rough but demonstrates the enormous potential here; imagine how powerful this will be for early stage feasibility work. I definitely don’t love the outcome, but it’s some version of what I was thinking in the sketch. I would still be happy to present this image to a client as an early study at feasibility stage to give them a more vivid sense of a project’s massing and scale alongside a set of 2D drawings before developing the preferred option in fine detail myself.

In the example shown, I would estimate the model achieved about 50% of my line intentions and about 20% of my material intent on the façades. However, the perspective, massing, lighting, context placement, reflections and sense of scale are all bang on — and all this is done with a general purpose, open-source model.

As this technology continues to improve, specialized architecture models will be trained on data sets that focus specifically on façade and architectural composition. Different architectural styles and materiality options will be made possible and they will be far better at understanding façade componentry such as floor zones, balustrades, windows, curtain walling and columns. The models will need to learn “archispeak” which will now be expressed using text prompt inputs and require architects to say what they actually mean in simple language.

As these models improve we will be able to discern discrete elements within the design concept, identify them as an architectural building component and then refine them directly with prompts as we work. We will be able to apply different prompts to different parts of the image, add people, change the lighting and mood — designing over and over in a live render environment — without modeling anything, all potentially driven from a sketch idea.

There will be many more experiments to come… and when Midjourney can do ControlNets too, it will probably feel like “game over” for much of the traditional 3D model and rendering that we do currently.

Keir is an AEC Domain Expert operating at the intersection of architecture practice, sustainable development and software design. Connect on LinkedIn.

With thanks to:

Ismail Seleit who was the first person I saw demonstrate this idea.

@design.input who put out a great video that helped to describe each step of the process.

Hamza Shaikh for pointing me at ControlNet in the first place when I got frustrated with Midjourney.

Architizer’s new image-heavy daily newsletter, The Plug, is easy on the eyes, giving readers a quick jolt of inspiration to supercharge their days. Plug in to the latest design discussions by subscribing. 



Reference

Chat GPT for Architects and Designers: Prompt Formula and Working Examples
CategoriesArchitecture

Chat GPT for Architects and Designers: Prompt Formula and Working Examples

By Zarkon Group,

For more ways to supercharge your workflow, check out more articles in our Tech for Architects series, which includes our recommendations of Top Laptops for Architects and Designers. 

We recently published our first Chat GPT Cheat Sheet for Architects, a handy guide for exploring the potential of using the tool to enhance your daily workflow. While the sheet is a helpful reference point, nothing beats seeing a real example of how Chat GPT can be used in action.

To this end, the following example demonstrates how one prompt can produce a variety of starting points for further exploration at the beginning of a project, either as part of a feasibility study or the conceptual design phase. But before we dive in, here’s a quick introduction to Chat GPT itself.

Midjourney image prompt: A mystical image of a female architectural designer sitting at a drawing board using Chat GPT, architectural ideas and models floating above –ar 16:9 –v 5.2

What is Chat GPT?

Chat GPT (Chat Generative Pre-Trained Transformer) is the remarkable creation of OpenAI. A large language model-based chatbot, this AI-powered tool was launched in November 2022 and became the fastest-growing consumer software application in history earlier in 2023. Why? Because this easy-to-use tool brings unprecedented capabilities to the world of conversation.

With ChatGPT, users hold the reins, steering discussions precisely where they desire. It is possible to tailor every aspect of the conversation to your liking — from length and format to style, level of detail, and even the language used. It’s like having a conversation partner who adapts perfectly to your preferences.

The secret to ChatGPT’s brilliance lies in prompt engineering. At every step of the interaction, it deftly analyzes successive prompts and replies, leveraging this contextual understanding to craft responses that align with the ongoing dialogue.

For architects and designers, Chat GPT can unlock a whole new avenue of research, exploration and ideation. For more information on the application and to start experimenting with your own prompts, click here.

Chat GPT Prompt for Architects

Here’s a simple Chat GPT prompt formula, a slight variation on the one shown in our cheat sheet, which can be specifically tailored for architects and designers:

“[Introduction or context] + [Specific question or instruction] + [Optional additional details or constraints]”

Let’s break it down:

1. Introduction or Context

Start by providing some context or background information to set the stage for your question or instruction. It helps guide the AI’s understanding of the topic and focus its response on the relevant aspects.

Example: “As an architect working on a residential project, I need assistance with…”

2. Specific Question or Instruction

State your question or instruction clearly and concisely, focusing on the specific aspect or topic you want to explore. Be as specific as possible to receive targeted and relevant responses.

Example: “…optimizing natural lighting and ventilation. What are some effective design strategies to achieve this?”

3. Optional Additional Details or Constraints

If necessary, you can include additional details or constraints to guide the AI’s response. This helps provide more context and narrow down the focus of the answer.

Example: “…for a compact urban site with limited access to direct sunlight.”

Putting that all together, here’s an example of a complete Chat GPT prompt for architects, using our formula:

“As an architect working on a residential project, I need assistance with optimizing natural lighting and ventilation. What are some effective design strategies to achieve this? The site I’m working with is a compact urban area with limited access to direct sunlight.”

By following this prompt formula, you can effectively guide Chat GPT to provide targeted and insightful responses. You can adapt or add to the formula to produce more in-depth or nuanced information.

Midjourney image prompt: A mystical image of an architectural designer using Chat GPT, ideas floating above –ar 16:9 –v 5.2

Chat GPT Prompt for Architects: The Output

We plugged the above prompt into the basic, free version of Chat GPT (version 3.5); here is the response it produced:

“When working on a residential project in a compact urban area with limited access to direct sunlight, optimizing natural lighting and ventilation becomes crucial. Here are some effective design strategies to achieve this:

  1. Incorporate Light Wells and Skylights: Introduce light wells or courtyards within the building to bring in natural light from above. Install skylights strategically to maximize daylight penetration into interior spaces.
  2. Use Reflective Surfaces: Incorporate light-colored or reflective surfaces, such as white walls or glossy finishes, to bounce natural light deeper into the space and create a brighter ambiance.
  3. Implement Clerestory Windows: Install high-level windows, known as clerestory windows, near the top of the walls to allow natural light to enter while maintaining privacy. This helps bring light deeper into the space and improves overall illumination.
  4. Design Open Floor Plans: Create an open layout to enable better light distribution throughout the living areas. Minimize the use of interior partitions or walls that could block natural light flow.
  5. Utilize Light Tubes: Light tubes, also known as solar tubes or sun tunnels, are tubular devices that capture sunlight from the roof and transport it into interior spaces. They can be an effective way to bring natural light into areas with limited access to windows.
  6. Optimize Window Placement: Strategically position windows to maximize daylight penetration. Consider the orientation of the site and place windows on the south-facing side to capture the most sunlight throughout the day.
  7. Use Light Diffusing Materials: Employ materials, such as frosted glass or translucent screens, that diffuse natural light to reduce glare while still allowing light to pass through. This helps create a softer and more even distribution of light.
  8. Implement Natural Ventilation Strategies: Incorporate operable windows and vents to facilitate cross-ventilation and promote natural airflow throughout the space. This helps improve indoor air quality and thermal comfort.
  9. Consider Light-Controlling Elements: Integrate shading devices, such as louvers, blinds, or adjustable curtains, to manage direct sunlight and prevent overheating during peak daylight hours. This allows occupants to control the amount of light entering the space.
  10. Incorporate Greenery and Vertical Gardens: Introduce indoor plants and vertical gardens to create a connection with nature and enhance the perception of natural light. Plants can also help improve air quality and contribute to a healthy indoor environment.

Remember to adapt these strategies to suit the specific requirements and constraints of your residential project in the compact urban area. Implementing these design strategies will help optimize natural lighting and ventilation, creating a comfortable and inviting living space.”

Midjourney image prompt: A mystical image of a black female architectural designer sitting at a drawing board using Chat GPT, architectural ideas and models floating above –ar 16:9 –v 5.2

Conclusion and Further Explorations

The above example shows how text-based AI tools can be harnessed by designers in a simple yet effective way, and demonstrates its utility in terms of information recall and automated curation. Most architects will be aware of the possible design solutions listed above, and could use ‘traditional’ internet research to surface them as well, but they could easily overlook one of these strategies while addressing the many nuances of a complex site and design brief.

In effect, Chat GPT’s response to the prompt acts as a reciprocal prompt for the designer, acting as a reminder of concepts that may be worth considering as a project develops. When viewed from this perspective, AI can be seen to augment an architect’s workflow, helping them to research and ideate more efficiently than ever before. As the technology develops, this augmentation will surely only continue to grow within the profession.

How are you using Chat GPT and other AI tools in your architectural workflow? We’d love to hear from you: Follow Paul Keskeys and Architizer on LinkedIn to join the discussion!

For more ways to supercharge your workflow, check out more articles in our Tech for Architects series, which includes our recommendations of Top Laptops for Architects and Designers. 

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