Artificial Intelligence (AI) and Machine Learning (ML) are the next generation building information modeling (BIM) building blocks presenting the deepest learning curves and highest walls to climb when it comes to adoption levels and usage comfort in 2024, according to a new survey from Procore.
In the previous newsletter, we talked about Krea, an AI company that has recently been at the top of the AI news for its real-time AI generation tool. In this newsletter, I'd like to introduce you to another tool Krea has developed that could greatly assist in enhancing images, especially AI images that come straight out of the box.
Another exciting week for AI news followers since KREA, an AI company, released their live AI tool, which has absolutely changed the game in the design world. Let's review this tool and talk about some potential use cases for it.
Last week, OpenAI surprised its 100+ million users with several new features and improvements to its capabilities. One particular update stood out as most exciting, perhaps especially in the creative industry: The introduction of GPTs. Open AI GPTs are customized versions of ChatGPT that allow creators to input instructions and specific knowledge bases to make GPTs very specific to various subjects.
Midjourney has always had the upper hand in quality and features among popular AI solutions. However, a common criticism of Midjourney was its failure to maintain style consistency. Open-source solutions provide features to personalize AI outputs, allowing users to train their own AI models to maintain a consistent design style/theme. In its latest version, Midjourney has launched its own style tuner, which could prove to be transforming.
Recently, OpenAI announced the release of Dalle-3. This new version might herald the start of a new era in the development of one of the world's most significant players in text-to-image AI. See why Dalle-3 is noteworthy, how it can help architects, and how its output compares, in test prompts, to MidJourney.
Numerous good tools and incredible AI workflows can help us save thousands, if not millions, of dollars. However, it can be challenging to determine which AI tools may be most helpful in our design development process. In this article, we'll review five great examples of useful AI tools we can use in our workflows.
D5, one of the most popular 3D-rendering software for Architecture, has recently released a free AI tool called Hi. Now everyone can access a decent, free alternative to Midjourney. D5 Hi has integrated an open-source AI text-to-image generator. Users can now generate decent-quality images using text prompts and convert raw renders into final visuals with applied materials and context. Here's how to get started with D5 Hi and create your first concept images.
In AI tools, Inpainting is used to save time, improve quality, or simply make changes to the input image. Midjourney, the most advanced and widely used text-to-image tool for designers and creatives, produces detailed, high-quality results. But it had lacked features found in other AI tools. Its latest release, however, offers Inpainting capabilities. Here's how to take advantage of Midjourney's brand-new feature.
Imagine talking to Revit. Instead of all the complicated tools and settings in the BIM program, what if you could simply tell a BIM like Revit what you want? You can. Hypar is a Revit plugin that allows users to connect with the program via text prompts to create models.AI tools for BIM are changing how we interact with software like Revit!
Spreadsheets, the Internet, email, cellphones, graphical user interface (Windows and Mac), search engines and smartphones all radically transformed the way we live, work, shop and play. Next up is ChatGPT. It will be to documents and communication what spreadsheets are to numbers.
Using AI for design begins with the use of text-to-image tools to convert a designer's concept for an architectural detail, a system or an entire structure into a finished image that can then be manipulated with everyday tools such as Photoshop. In this issue, Amir Noori explains the importance of creating the text thru the use of "prompt engineering" as a first step in producing usable output.
