Creating Realistic Renders from a Sketch Using A.I.

The Architecture Grind
7 May 202306:56

TLDRThis video showcases the power of AI in transforming simple sketches into realistic architectural renders within seconds. The presenter introduces two tools for this process: stable diffusion and control net, which can be downloaded, and run diffusion, a cloud-based, paid alternative. To optimize results, the video emphasizes the importance of a clear sketch with a hierarchy of line weights, and suggests rough outlines for objects like trees and people. It also advises on using the 'scribble' setting and adjusting the CFG scale for better quality. The video demonstrates the process with examples, including text-to-image generation without sketches and importing a sketch for more detailed and realistic results. The presenter also explores creating interior perspectives, noting that while sticking to a consistent prompt yields good results, varying the prompt can lead to exciting and creative outcomes. The video concludes by highlighting the time-saving benefits and creative potential of using AI for rendering.


  • 🚀 AI technology can transform simple sketches into realistic architecture renders in under 30 seconds.
  • 🛠️ Two tools mentioned for this process are stable diffusion and control net, and run diffusion, a cloud-based alternative.
  • 💻 Run diffusion is a paid service but offers cost-effective rendering with a small initial investment.
  • 🎨 To optimize results, start with a clear sketch that AI can interpret, with a hierarchy of line weights.
  • 🌳 Include rough outlines for elements like trees, people, and objects to give AI a chance to work with the forms.
  • 📚 Use precedent images to inspire and guide the AI towards the desired outcome.
  • ⚙️ Proper settings are crucial; the script recommends using stable diffusion version 1.5 and realistic Vision version 20.
  • 📈 Adjust the CFG scale for higher quality renders, but be aware that it may increase processing time.
  • 📝 Experiment with different prompts and fine-tune them for the best results, as the process involves trial and error.
  • 🏠 The impact of importing a sketch is significant in generating more realistic and developed renders.
  • 🌴 Interior perspectives can also be created with AI, offering a fast and detailed rendering alternative to traditional methods.
  • 🎭 Creativity in changing prompts and settings can lead to exciting variations in the generated renders.

Q & A

  • What is the main topic of the video?

    -The video is about using AI technology to transform simple sketches into realistic architecture renders quickly.

  • Which two tools are mentioned for turning a sketch into a render?

    -The two tools mentioned are downloading Stable Diffusion and Control Net onto your computer, and using a cloud-based service called Run Diffusion.

  • What is the importance of having a hierarchy of line weights in a sketch?

    -A hierarchy of line weights helps the AI to understand the depth and background of the sketch, making it easier for the AI to interpret and generate a realistic render.

  • How does including rough outlines of trees, people, and objects in the sketch assist the AI?

    -Rough outlines give the AI a chance to work with the objects and forms, allowing it to generate more realistic elements without solely relying on a text prompt.

  • What is the role of precedent images in the rendering process?

    -Precedent images can be downloaded and uploaded to assist the AI in understanding the desired outcome, providing inspiration and helping to achieve a more accurate render.

  • Which version of Stable Diffusion is recommended for the most realistic renders?

    -Stable Diffusion version 1.5, particularly with the Realistic Vision version 20.0, is recommended for the highest quality renders.

  • How can the quality of the final render be adjusted if it's not meeting expectations?

    -The quality can be adjusted by increasing the CFG scale slider, which may affect the time but will increase the quality of the final image.

  • What is the significance of importing a high-quality, well-defined image for the text-to-image generation process?

    -A high-quality, well-defined image provides a better reference for the AI, resulting in more realistic and accurate renders when using text prompts.

  • How does the process of creating renders with AI compare to traditional 3D rendering models in terms of time and resourcefulness?

    -The AI-based rendering process is significantly faster and more resourceful, saving time that would be spent setting up a traditional 3D rendering model.

  • What is the key to achieving more creative and varied outcomes with the AI rendering tool?

    -The key is to experiment with different settings and prompts, which can lead to exciting variations and more creative results.

  • How does the AI rendering tool assist in the interior design process?

    -The AI rendering tool can generate interior perspectives based on specific styles and elements, providing a quick and efficient way to visualize and experiment with different design ideas.

  • What is the recommended approach for optimizing the AI's understanding of the sketch and generating accurate renders?

    -The recommended approach includes providing a clear hierarchy of line weights, including rough outlines for objects, and using proper settings within the AI tool to ensure the best interpretation and rendering of the sketch.



🚀 Transforming Sketches into Realistic Renders with AI

This paragraph introduces the viewer to the revolutionary AI technology that can transform simple sketches into highly realistic architectural renders within seconds. The host emphasizes the potential of this tool to alleviate the struggles often faced by architecture students. Two primary tools are mentioned: Stable Diffusion and Control Net, and Run Diffusion, with the latter being a paid, cloud-based service. The host shares a personal anecdote of investing a small amount in Run Diffusion and receiving significant value from it. Tips for optimizing results are provided, including creating a clear sketch with a hierarchy of line weights and including rough outlines of elements like trees and people. The importance of using the right settings in the rendering process is highlighted, with specific recommendations for achieving the best results, such as using the 'realistic Vision version 20.' The paragraph concludes with a demonstration of how the AI interprets text prompts without a reference sketch and the significant impact of importing a high-quality sketch on the final render.


🏠 Interior Design with AI: From Jungle Getaway to Beach Bungalow

The second paragraph showcases the AI's capability to generate interior perspectives. The host admits to using a Google image instead of a sketch for convenience, but notes that the AI tool works effectively with either approach. The goal is to create an interior space with a living room that features wood floors, contemporary furniture, natural plants, and wall paintings, all bathed in natural light to create a jungle-like atmosphere. The host attempts to include people sitting on the furniture but notes that this aspect is not fully realized. Despite this, the host is impressed with the quality and realism of the AI-generated renders. It's observed that sticking to a similar prompt consistently yields good results, but slight variations can lead to different outcomes. The host expresses excitement about the creative possibilities and encourages viewers to subscribe and like the video for more content on this topic.



💡AI technology

AI technology refers to the use of artificial intelligence to perform tasks that typically require human intelligence. In the context of the video, AI is used to transform simple sketches into realistic architecture renders, showcasing the power of AI in creative fields.


A sketch is a rough or unfinished drawing that serves as a preliminary representation of an idea or concept. In the video, sketches are the starting point for creating detailed architectural renders using AI, emphasizing the importance of clear and interpretable sketches for AI to understand and work with.

💡Architecture render

An architecture render is a visual representation of a building or structure, often created using computer graphics to simulate how it would look in real life. The video discusses how AI can quickly generate these renders from sketches, which traditionally would be a time-consuming process.

💡Stable Diffusion

Stable Diffusion is an AI model mentioned in the video that can be used to create realistic renders from sketches. It is one of the tools recommended for those looking to leverage AI technology in architectural visualization.

💡Control Net

Control Net is another AI tool referenced in the script, which works in conjunction with Stable Diffusion to enhance the process of turning sketches into detailed renders. It helps in controlling and refining the output based on the input sketch.

💡Run Diffusion

Run Diffusion is a cloud-based service that provides similar functionality to Stable Diffusion and Control Net but without the need for downloads. It is a paid service that offers easy access to AI rendering capabilities for those who prefer a hosted solution.

💡Line weight

Line weight refers to the thickness of lines used in a drawing or sketch. The video emphasizes the importance of varying line weights to help AI distinguish between different elements in the sketch, such as building outlines and background elements.


In the context of AI and the video, a prompt is a text description or command that guides the AI in generating a specific output. For instance, the user can input a prompt to generate a render with certain characteristics, and the AI uses this to create the desired image.

💡CFG scale

CFG scale is a term used in the video to describe a setting that can be adjusted to increase the quality of the final render. While increasing the CFG scale can enhance the detail and realism of the render, it may also extend the time required to generate the image.

💡Interior perspectives

Interior perspectives refer to the visual representation of the inside of a building or space. The video demonstrates how AI can be used to create interior renders with specific design styles, such as a living room with a jungle getaway vibe.

💡Text to image generation

Text to image generation is a process where AI converts textual descriptions into visual images. The video shows how this can be done without a reference sketch, but the results are significantly improved when a sketch is provided to guide the AI.


AI technology can transform simple sketches into realistic architecture renders in under 30 seconds.

Two primary tools for this process are stable diffusion and control net, and run diffusion.

Run diffusion is a cloud-based server that requires a small payment but offers high-quality results.

Optimizing your results starts with creating a perfect sketch that AI can easily interpret.

Use a hierarchy of line weights to help AI understand the depth and background of your sketch.

For including elements like trees and people, rough outlines are better than excessive detail.

AI sometimes struggles to create objects from a prompt alone, so rough sketches are beneficial.

Precedent images can be used for inspiration and to assist AI in understanding the desired outcome.

Using the proper settings is crucial for the best rendering outcomes.

Stable diffusion version 1.5, especially the realistic Vision version 20, provides the most realistic renders.

The control net tab allows importing your sketch image for AI to recognize and use.

The CFG scale slider can be adjusted for higher quality renders, albeit with increased processing time.

Text-to-image generation without a sketch serves as a base for further refinement.

High-quality, well-defined images are key to achieving creative and realistic results.

Interior perspectives can also be rendered with AI, showcasing natural elements and design styles.

Consistent prompts with slight adjustments can yield a variety of realistic and creative outcomes.

The process, though involving trial and error, saves significant time compared to traditional 3D rendering models.

AI-generated renders are not only time-efficient but also serve as a valuable resource for idea generation.