The 2023 ArchViz BlackFriday

News / Promotion

The 2023 ArchViz BlackFriday!

The annual ArchViz BlackFriday to CyberMonday promotion is underway with 17 Partners early to start this time around. Many more to join in leading up to the official Black Friday date – November 24th. Expect up to 50% Discounts on software, content and training going on well into (3)December.

Reading time: 1 min 15 sec
" Globe Plants render-ready assets are a perfect match with Skatter to create stunning vegetation renderings with just a few clicks "

Visit the special landing page prepared this year to showcase all the great deals you can grab immediately! 

Check deals that have already started by : 

  1. Globe Plants – 40% off on all of their plants. 
  2. AXYZ Anima (now part of Chaos) – Up to 50% off based on spending on ANIMA, content, and wallet purchases.
  3. iToo Software Forest Pack, RailClone, and more! – Check specific discounts on their website.

Globe Plants

Featuring Globe Plants front and center this year, they made big strides to support as many platforms and formats! Believe in the fusion of art and technology, they have a vision to provide the most lifelike, detailed, and scientifically accurate 3D plant models, bridging the gap between virtual and real-world landscapes.

With over 15 years of professional Architecture Visualization and Landscape Design experience using GrowFX, Globe Plants team combine those years of experience to produce the highest possible quality of 3D digital plants and trees to almost indistinguishable to real life.

Globe Plants 3D foliage models will guarantee to accommodate for highest level of production.

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Bring your interior renderings to life with new 4D models of people in everyday household tasks. These photorealistic human characters are designed with advanced scanning technology, making them the perfect complement to your digital scenes, animations and visualizations. With AXYZ 4D people, you can easily incorporate a level of realism and emotion that truly enhances your projects. Whether you are a filmmaker, game developer, or designer, AXYZ 4D personas offer unmatched quality and versatility to help you achieve your creative vision.

AXYZ design 3D people 4D Scanned People Character Animation Soft
Taking the previous "Stunning Mid-Century Modern House in California" for a spin with ChatGPT to be more methodical about the results
Take advantage of the unbeatable discounts up to 50% and a selection of exclusives products available from: Friday November 17th 00:00:00 GTM+1, until Monday November 27th 23:59:59 GTM+1 included!

Stay tuned for more...

More deals open up towards Friday the 24th so keep an eye on the promo page at –


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© All Rights Reserved 2022


It’s Gen-AI, Baby!

A series about AI by Ronen Bekerman

It's Gen-AI, Baby!

Ronen here from Gen-X saying that we are currently in Generation Alpha, which is damn close to being called Gen-AI if you ask me and see what’s happening online. Crazy, fascinating, scary, mind provoking, unethical, the next evolution. You name it, and you’ll be right.

let’s dive into the rabbit hole – blue pill or red pill?

Reading time: 7 min 15 sec
" Are You Living in a Computer Simulation? "

I’ll be writing this article and follow-ups to it based on my experience as I go. Don’t expect any structure to it. Things change too fast anyways.

Getting philosophical about it

The idea that humanity might be living in a simulated reality gained significant attention in contemporary times due to the work of philosopher Nick Bostrom. In his 2003 paper, “Are You Living in a Computer Simulation?”, Bostrom presented the Simulation Hypothesis, which posits that we may be living in an advanced computer simulation created by a highly advanced civilization. This idea is not new, and you can trace it back to ancient philosophical concepts like Plato’s Allegory of the Cave, which can be interpreted as an early precursor to the idea of “living in a simulation” in the sense that it explores the concept of humans being trapped in an illusory or limited perception of reality.

Allegory of the cave by Plato - Mixed matte painting + AI
Allegory of the cave interpretation - Mixed Matte Painting + AI

In the context of generative AI, these philosophical inquiries become particularly relevant. As generative AI models advance, they can create increasingly realistic simulations of various aspects of our reality, such as images, sounds, and even 3D environments. These AI-generated simulations may eventually become indistinguishable from the real world, leading us to question the authenticity of our experiences and the boundaries between simulation and reality.

There’s no need to venture into the realm of the Matrix to grasp the concept at hand. The mere presence of advanced text-based AI agents, voice AI agents, and visually stunning AI avatar agents operating freely in our digital environment is sufficient to illustrate this idea. Indeed, such technological advancements are already taking place, transforming our interactions and experiences in the virtual world.

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Getting the bad out of the way first

Generative AI has been a game-changer in numerous fields, but its rapid advancements have also raised several controversial topics and concerns. Some of the most prominent issues include:

  1. Deepfakes and misinformation.
  2. Intellectual property and copyright.
  3. Loss of jobs and skills.
  4. Bias and fairness.
  5. Ethical considerations.
  6. Environmental impact.
  7. Regulation and governance.

These controversial topics highlight the need for ongoing research, dialogue, and collaboration among various stakeholders, including AI developers, policymakers, and users, to ensure that generative AI, or what is now widely discussed as artificial general intelligence (AGI), is developed and deployed responsibly and ethically.

I’ll address these topics in follow-up posts.

Generative-AI, it is nice to meet you!

You know that feeling when you’ve got a super cool idea in your head, but you just can’t get it out for some reason? Like, maybe the process is a drag, you’re not in the right headspace, or the tools are just annoying. Well, guess what? This new AI stuff is changing the game big time! No more excuses – it’s time to unleash that creativity!

Like this "Stunning Mid-Century Modern House in California, photo, 24mm tilt-shift CANON lens, golden hour, vibrant color, kodak vision 2383" as an example made with Midjourney v5


Generative AI refers to a subset of artificial intelligence that focuses on creating new content, often based on a given dataset or a set of parameters. These AI models learn from existing data and generate novel output, such as images, text, music, or 3D models. They can augment human creativity or automate specific tasks, making them an exciting tool for artists and designers.

Some of the most popular generative AI techniques include Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers. Each of these techniques has unique characteristics that can be harnessed for architectural visualization.


GANs consist of two neural networks, a generator and a discriminator, that work together to create realistic output. The generator creates new content, while the discriminator evaluates its quality. GANs have been used to generate photorealistic images, textures, and even 3D models, making them an invaluable tool for architectural visualization artists.

The diagram shows the generator and discriminator networks that make-up the 3D-IWGAN. Source:


VAEs are unsupervised machine learning models that learn to encode and decode data, enabling them to generate new content based on a given input. VAEs can be used to create variations of existing architectural designs, interpolate between different styles, or generate new design elements.

Variational autoencoder. (2023, April 3). In Wikipedia.


Transformers are a type of deep learning model that has demonstrated remarkable capabilities in natural language processing and image generation. They can be used to generate textual descriptions of architectural concepts or create visually coherent images based on a given text input.

Transformer (machine learning model). (2023, April 19). In Wikipedia.

New tools of the trade

So far, I’ve been exploring and using DALL-E, Midjourney, and Stable Diffusion for generating images. I’ve added ChatGPT into the mix very recently as a way to get better at prompting.

“prompting” refers to providing an initial input or a seed to an AI model, which then guides the model to generate new content based on that input. The prompt serves as a starting point for the AI model, shaping its response or output in a specific direction depending on the desired outcome. You can also use images as a prompt or as part of a prompt.

Prompting seems to be a rising skill, with talks about “prompt engineer” being a new job position created by AI already. Sure enough, you can already see such job posts published online.

Taking the previous "Stunning Mid-Century Modern House in California" for a spin with ChatGPT to be more methodical about the results


The first generative AI tool I encountered left me in awe. I was particularly impressed by its innovative “generation frame” feature, which resembles inpainting capabilities found in other tools. This remarkable feature enables users to extend an image infinitely, one square at a time, by utilizing various prompts—a truly captivating and unique experience.

And below you can see the result after several generation frames as I was aiming for an “epic” scene! Each new square with a prompt to generate the specific things I wanted in the “tile”.


The most exceptional generative AI tool I’ve used, in terms of output quality, has undergone significant improvements with the release of Version 5. This update has not only enhanced the overall output quality but also introduced innovative features such as “describe,” “blend,” and more. In comparison to Version 4, the new iteration produces strikingly photorealistic results, surpassing DALL-E 2, which I previously considered superior in this aspect. The advent of Version 5 has truly raised the bar for generative AI tools.

Below are the very first images I’ve made with Midjourney a year ago!

And below a few from the recent month!

Stable Diffusion

Boasting unparalleled flexibility and the ability to run on your own hardware, this particular generative AI tool offers a wealth of plugins, addons, and customization options for controlling the output, most notably through control nets.

bottom row is what you get with just the dog image + a prompt. Top row is when you use a control net on the dog image! Now translate that to architecture 🙂

I primarily use this tool for intentional generation, taking advantage of the numerous models available online or even training it myself. Furthermore, it paves the way for creating animations, an area I’m particularly eager to explore in the near future.

The art of the prompt

Or the modern-day equivalent of the California Gold Rush of the 1800s.

You can joke about it all you want, but you need the [blank] prompt to get the desired result. And I keep it blank since it is not “right,” “correct,” or “best,” to name a few options. It is undoubtedly something, but that is for you to figure out!

Much like digging for gold, the quest for success has remained the same: a combination of hard work, skill, and a bit of luck.

That was the point I decided to bring in ChatGPT. I’ve been conjuring up countless prompts on my own before that, but I decided to get more methodical about it.

Taking it for a spin in the #ChatGPT + MJ process I’m exploring. My aim is to make this look more like an architecture photographer professional has taken the photos. You can indicate a known photographer for the style (not sure how ethical that is, but it works) to get very interesting results.

This is totally text-to-image, and MJ decides about the output, but there is a lot you can do in a prompt to direct it.

Midjourney is far better (in my tests) than stable diffusion for generating the first result.

And an “old” black and white photo look to it!

More examples

The first (left) one is the result. The second one is an old matte paint I did. The process was feeding the matte paint to midjourney new describe feature to get some prompts, taking that to ChatGPT for making a better version to feed back to midjourney, using the original image in the prompt as well, upscaling a favorite result and back to photoshop for final edits. Overall “title” of the image remains the same for me.

For the “Plato’s Cave” image above, I employed a similar process. Crafting the image based solely on a text prompt proved to be quite challenging. To overcome this, I initially “guided” the AI using image blends and subsequently created a rough matte painting to serve as an image prompt. This approach facilitated the generation of the desired outcome.

What's next?

In upcoming posts, I’ll delve deeper into the challenges and concerns I mentioned earlier while also providing more technical insights on setting up various tools and techniques for generating images. Additionally, I’ll continue to share my ongoing exploration of this groundbreaking technology. Currently, I’m conducting experiments using AutoGPT and ChatGPT Agents and animations with stable diffusion. I’m also working on automating ArchViz-related tasks, such as Day-to-Night conversions, face replacement for 3D characters, complete character replacement or population, and even full image creation – from concept to the final result – based on a 3D model. Stay tuned for more exciting updates and discoveries!


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© All Rights Reserved 2022