Turn Your Mood Boards & SketchUp Models into Realistic Renders (Using AI)

Design Input
5 Apr 202310:21

TLDRIn this video, the creator explores the use of AI to transform simple 3D models and mood boards into realistic renders for interior design and architecture. They start by creating a mood board using Style Sourcebook, a website with a vast selection of furniture and textures. The goal is to test the capabilities of text-to-image and image-to-image AI tools with minimal detail to see if quality results can be achieved. The creator then uses a tool called 'Journey' to generate room designs, adjusting keywords and image weights to refine the output. They also test 'Room GPT,' a website that allows users to upload an image and select a room style for remodeling. Lastly, they use 'Stable Diffusion' with a control net extension to transform hand drawings into realistic views. The results from 'Mid Journey' are impressive, capturing all elements accurately, while 'Room GPT' provides quick and easy options with less control. 'Stable Diffusion' offers closer results to the original image but with some limitations in understanding lighting and certain details.

Takeaways

  • 🎨 The video demonstrates turning a simple 3D model into a realistic render using AI tools.
  • 🛋️ A mood board was created for an interior living room scene using Style Sourcebook for furniture and textures.
  • 📐 The process aimed to test AI capabilities with low-quality or less detailed materials to see if a nice outcome is still achievable.
  • 📈 The video compared different AI tools: Midjourney, Room GPT, and Stable Diffusion, for their effectiveness in interior design and architecture.
  • 🤖 Midjourney was used with a high-quality setting and basic keywords to describe materials and lighting.
  • 🏡 Room GPT allowed choosing a room style and remodeling the uploaded image directly with that style.
  • 🌐 Stable Diffusion was tested with an image-to-image version using a control net extension, similar to a previous hand drawing to realistic view conversion.
  • 📸 A basic SketchUp model was used as a reference to test the AI's ability to handle simple 3D models.
  • 🌟 Midjourney's results were impressive, accurately capturing all elements of the SketchUp model in the generated images.
  • 🏠 Room GPT provided an easy and fast way to generate room designs in different styles, though with less control over the process.
  • 🔍 Stable Diffusion's results were closer to the original image uploaded, making it a suitable option for those looking for a faithful representation.

Q & A

  • What was the main goal of the video?

    -The main goal of the video was to explore the capabilities of AI tools in transforming simple 3D models and mood boards into realistic renders for interior design and architecture.

  • Which website did the presenter use to create a mood board?

    -The presenter used a website called Style Sourcebook to create a mood board with various furniture products and textures.

  • What was the purpose of keeping the mood boards simple?

    -The purpose of keeping the mood boards simple was to test if AI tools could generate nice results even with low quality or less detailed materials.

  • Which AI tool was first tested in the video?

    -The first AI tool tested in the video was Midjourney, which was used to generate room designs from the mood board.

  • What are the image rates that can be adjusted in Midjourney?

    -In Midjourney, the image rates that can be adjusted range between 0.5 and 2, which affect how closely the generated image resembles the original reference image.

  • What is Room GPT and how does it work?

    -Room GPT is a website that allows users to upload an image and choose a room style to remodel the image with the given style. It provides a simpler version of AI remodeling with less control over the process.

  • What is the Stable Diffusion Image to Image version and how was it used in the video?

    -The Stable Diffusion Image to Image version is an AI tool used to transform images into more realistic views. In the video, it was used with a control net extension, following a similar workflow as transforming hand drawings into realistic views.

  • What was the approach for the SketchUp model in the video?

    -The approach for the SketchUp model was to keep it basic and not add too many details, to see if the AI tools could generate something nice even with a low-quality 3D model.

  • How did the presenter use the AI tools for the 3D model?

    -The presenter used the same process as with the mood board for the 3D model. They generated room designs using Midjourney, tested Room GPT, and finally used Stable Diffusion to compare the results.

  • What was the presenter's impression of the results from Midjourney for the 3D model?

    -The presenter was very impressed by the results from Midjourney for the 3D model, as it managed to correctly interpret all the elements in the image.

  • How did the presenter summarize the effectiveness of the AI tools tested?

    -The presenter summarized that Midjourney provided high-quality overall images but didn't use the images directly. Room GPT was good for quick and easy options with less control, and Stable Diffusion produced results closer to the original image, making it a suitable choice for those looking for fidelity.

Outlines

00:00

🎨 Interior Design with AI Tools

The video begins with the creator's intent to experiment with transforming a simple 3D model into a more complex and realistic interior design. They discuss their previous video, where they created realistic renders from hand drawings, and then move on to describe their process of creating a mood board using Style Source Book, a website with a variety of furniture and textures. The focus is on testing the capabilities of AI tools like text-to-image and image-to-image for interior design and architecture, using a minimalistic approach to not overwhelm the AI with too many details. The creator adds basic elements to the mood board, such as a sofa, plants, an abstract painting, wallpaper, and wooden flooring. They then introduce their use of the AI tool 'Journey' to generate designs based on the mood board, adjusting settings and describing the materials and lighting before generating different versions. The video also covers testing with 'Room GPT', a website that allows users to upload images and remodels them in various styles, and 'Stable Diffusion', an image-to-image tool that produced closer results to the original image uploaded.

05:02

📐 Testing AI Tools with 3D Models

The second paragraph details the creator's process of testing AI tools using a basic 3D model of a room. They use SketchUp to create a simple room scene with minimal details, including walls, a window, a sofa, a plant, and a table. The surfaces are painted with different colors to serve as a reference. A screenshot of this model is then used as a reference in the AI tool 'Journey' to generate room designs. The creator describes the space and materials they envision and tests different image weights to see how the results vary. They also use 'Room GPT' for this 3D model, noting that it's a better fit for the website's purpose of regenerating a room in a different style. Lastly, they use 'Stable Diffusion' and compare the results from all the tools. The creator is particularly impressed with 'Journey's' ability to accurately capture all elements of the image, while 'Room GPT' and 'Stable Diffusion' have varying levels of success in understanding and replicating the details of the 3D model.

10:04

📝 Conclusion and Engagement

The video concludes with the creator summarizing the results from the different AI tools tested and expressing their satisfaction with the outcome, particularly with 'Journey'. They invite viewers to share their favorite tool or result in the comments and sign off with an anticipation for the next video, leaving the audience with a sense of curiosity and engagement.

Mindmap

Keywords

💡3D model

A 3D model refers to a mathematical representation of any three-dimensional surface of objects. In the context of the video, the creator uses a simple 3D model of an interior living room scene to demonstrate how it can be turned into a realistic render using AI tools. The process involves enhancing the basic shapes with textures, lighting, and other design elements to make it visually appealing and realistic.

💡Mood board

A mood board is a visual tool used by designers to communicate a concept or idea through a collection of images, textures, and samples that are thematically linked. In the video, the mood board is created for an interior living room scene using a website called Style Sourcebook. It helps to establish the desired atmosphere and design direction for the project.

💡AI tools

AI tools, or artificial intelligence tools, are software applications that incorporate machine learning and natural language processing to perform tasks that would typically require human intelligence. In the video, the creator tests the capabilities of various AI tools like Midjourney and Room GPT to transform simple 3D models and mood boards into more detailed and realistic renders.

💡Style Sourcebook

Style Sourcebook is a website mentioned in the video that provides a platform for designers to create mood boards. It offers a wide range of furniture products, textures, and other design elements that can be easily added and manipulated within a user's design space. The website is used to create a simple mood board for the interior living room scene.

💡Midjourney

Midjourney is an AI tool that the video's creator uses to generate room designs from a mood board or a simple 3D model. It is described as creating new versions inspired by the input images rather than using them directly. The tool is part of the testing process to see how well it can transform basic designs into more detailed and realistic renders.

💡Room GPT

Room GPT is a website that allows users to upload an image of their space and choose a room style to have the image remodeled with the selected style. It is presented as a simpler tool compared to Midjourney, offering less control over the process but providing quick and easy options for users looking to experiment with different styles for their space.

💡Stable Diffusion

Stable Diffusion is an image-to-image version AI tool used in the video to transform hand drawings into realistic views. It is also used to process the 3D model screenshot, aiming to generate a realistic render. The tool is noted for producing results that are closer to the original image uploaded by the user.

💡SketchUp

SketchUp is a 3D modeling computer program used for a wide range of drawing applications such as architectural, interior design, landscape architecture, civil and mechanical engineering, film, and video game design. In the video, a basic room scene is created in SketchUp to test the AI's ability to work with low-quality or less detailed 3D models.

💡Image rate

The image rate in the context of AI image generation tools like Midjourney refers to the degree to which the generated image resembles the original reference image. A higher image rate results in a closer resemblance to the original, while a lower rate allows for more creative freedom and deviation from the source material. The creator experiments with different image rates to see how it affects the final render.

💡ControlNet extension

The ControlNet extension is a feature used with Stable Diffusion that allows for more control over the image generation process. It is used in the video to fine-tune the AI's output when transforming the 3D model screenshot into a realistic render, aiming to achieve a balance between creativity and adherence to the original design.

💡Aspect ratio

The aspect ratio is the proportional relationship between the width and the height of an image or screen. In the video, the creator adjusts the aspect ratio to 4:3 for the Midjourney tool, which affects the dimensions of the generated image and how it is cropped or scaled to fit the desired format.

Highlights

The video demonstrates turning a simple 3D model into a realistic render using AI tools.

A mood board was created for an interior living room scene using the website Style Sourcebook.

The mood board featured a simple sofa, plants, an abstract painting, wallpaper, and wooden flooring.

The capabilities of text-to-image and image-to-image AI tools for interior design and architecture were tested.

The video shows the process of using the AI tool, Journey, to generate room designs from a mood board.

Journey's settings were adjusted using median version 5 with high quality and an image rate of 2.

Room GPT was used to remodel the image with different styles, offering three free options to start.

Different styles like minimal, modern, and tropical were tested with Room GPT.

Stable Diffusion's image-to-image version was tested with a control net extension for more detailed results.

A basic room scene was created in SketchUp to test the AI's ability to work with low-quality 3D models.

The SketchUp model included simple elements like walls, a window, a sofa, and a plant box.

Different image weights from 0.5 to 2 were tested to see their impact on the final render.

Midjourney's results were impressive, accurately capturing all elements of the SketchUp model.

Room GPT provided okay results but lacked the detail and understanding of lighting and certain objects.

Stable Diffusion produced closer results to the original image but had some issues with lighting and object interpretation.

The video concludes with a comparison of all the results, inviting viewers to share their favorite in the comments.