Can You Really Use AI for Design and Architecture? Step-by-Step Guide

The speaker discusses the use of AI for generating images related to design and architecture, specifically using a tool called Midjourney. They share their experience of using AI to spark new inspiration for their projects and admit the process can be addictive. The speaker outlines a step-by-step method for creating realistic images with AI, which can be used as references in architecture and design projects. They also mention the importance of specifying elements in the AI prompt to achieve desired results and give examples of how different prompts can drastically change the output. The video promises to cover creating and refining images, using chat GPT for precision, 3D modeling with an image reference, and rendering in Lumion software.

The speaker talks about the process of upscaling AI-generated images and making variations to them. They demonstrate how to zoom out and extend images to add more context to the scene. The focus then shifts to interior design, specifically a kitchen, and how to refine the AI's output by adding specific details to the prompt. The speaker also discusses the limitations of AI in design, such as not being able to generate multiple views from a single prompt, and how they view AI as a tool for reference rather than a job replacement. They also touch on the settings available in Midjourney for controlling the style of the generated images.

The speaker describes how to use an AI-generated image as a reference for 3D modeling. They discuss the process of setting up lines for perspective and modeling the scene with correct dimensions based on the reference image. The speaker then imports the model into Lumion for rendering, where they adjust the environment to match the scene, including adding terrain, an ocean, and trees. They also mention the use of reflection probes for material accuracy and the importance of considering the lighting direction in the scene.

The speaker details the process of creating a winter scene in Lumion by adjusting terrain, painting the landscape, and adding leafless trees and other vegetation. They discuss the use of mass placement and randomization of properties for a more natural look. The speaker also talks about selecting the right camera angle and focal length to capture the scene as desired. They mention the use of effects like fog and color correction to enhance the scene's realism and mood.

The speaker explains how to add details and textures to a scene in Lumion. They discuss the use of various assets like trees, rocks, and vegetation to populate the scene. The speaker also talks about the importance of color picking from the reference image and applying it to materials in Lumion for consistency. They mention the use of decals to create a sense of decay and age in certain elements of the scene, which adds character and helps tell a story. The speaker also shows how to add everyday objects like cooktops, shelves, and electronic items to make the scene more realistic.

The speaker discusses the final touches to the scene, including adding chromatic aberrations, adjusting the sky, and using fog for depth. They also mention making small adjustments in Photoshop to match the style of the reference image. The speaker highlights the ability to create multiple views from the same scene, which is a task that AI currently cannot perform. They demonstrate how to change camera angles and lenses, as well as adjust lighting conditions quickly within Lumion. The video concludes with a mention of a new course dedicated to Lumion 2023 and an invitation for viewers to share how they use AI tools in their projects.