Unlock the Power of Stable Diffusion: Architect and Industrial Design with Smart Reference Selection

11 Jun 202348:03

TLDRThis video showcases an innovative workflow for transforming objects in images without text prompts. The presenter demonstrates how furniture, cars, and buildings can be converted to different styles or types by the AI, which intelligently adapts elements like windows, grilles, and mirrors to match the reference style. The process highlights the AI's ability to understand and manipulate design elements, offering a glimpse into its potential for architects and industrial designers.


  • ๐ŸŽจ The video demonstrates a workflow for transforming objects in images without using text prompts, showcasing the power of AI in design conversion.
  • ๐Ÿ›‹๏ธ The process begins with a room and furniture images, aiming to change the furniture type to match a specific style within the room.
  • ๐Ÿ”ง The AI tool, referred to as 'coffee UI', allows for the creation of custom workflows for design transformation.
  • ๐ŸชŸ The AI pays attention to details in the reference images, such as windows, and attempts to incorporate similar elements into the transformed design.
  • ๐ŸŽ๏ธ A test is shown where a car (a chip) is transformed into a Mercedes, highlighting the AI's ability to understand and convert vehicle designs.
  • ๐Ÿ” The AI's first pass is emphasized as crucial for understanding the input and algebra, without the need for prompting.
  • ๐Ÿš— Further tests involve converting one car model to another, such as a Ferrari to a Bugatti, showcasing the AI's capability in recognizing and altering vehicle features.
  • ๐Ÿ”„ Adjustments can be made during the process, such as changing the 'strange' parameter, to influence how much the AI retains the original form or adopts the new style.
  • ๐Ÿข The workflow is not limited to vehicles; it is also applied to architectural designs, blending elements from different building images.
  • ๐Ÿก Tests with buildings show the AI's ability to adapt and combine styles, materials, and details from different architectural references.
  • ๐Ÿ› ๏ธ The script suggests that the AI's performance can be influenced by factors like the angle of the photo, the clarity of details, and the user's adjustments to the workflow parameters.

Q & A

  • What is the main purpose of the workflow demonstrated in the video?

    -The main purpose of the workflow is to convert objects, such as furniture and vehicles, into different designs without using any text prompts, by utilizing smart reference selection and AI capabilities.

  • How does the AI process work when converting a room's furniture to a different style?

    -The AI process starts by analyzing the input image and then attempts to convert the furniture to the desired style by paying attention to details such as window placement and furniture design, adapting them to match the reference style.

  • What is the significance of the 'first pass' in the AI conversion process?

    -The first pass is significant because it is the stage where the AI understands the input and the algebra involved in the conversion. It sets the foundation for the design transformation without needing any prompting.

  • Can the AI handle complex transformations like changing a car's design to another model?

    -Yes, the AI can handle complex transformations. It can analyze different parts of a car, such as the hood, bumper, and lighting design, and attempt to convert one car model to another, even with different styles and body types.

  • What role does the 'strange' parameter play in the AI's design conversion process?

    -The 'strange' parameter influences how much the AI deviates from the original form during the conversion process. A lower value makes it easier for the AI to reform the object, while a higher value makes the AI try to retain more of the original form.

  • How does the AI manage to identify and convert different parts of a car or building?

    -The AI uses smart reference selection to identify different parts such as the car's fender, lights, hood, or a building's windows, materials, and architectural elements, and then it attempts to convert these parts to match the reference style.

  • What is the importance of the AI's ability to understand the input and algebra in the conversion process?

    -The AI's ability to understand the input and algebra is crucial as it allows the AI to accurately interpret the elements of the original design and transform them into the desired style, ensuring a coherent and realistic outcome.

  • Can the AI convert designs between completely different styles, such as modern to classic?

    -Yes, the AI can attempt to convert designs between completely different styles. It analyzes elements like windows, materials, and architectural features and tries to adapt them to the new style, even if the original and target styles are vastly different.

  • What adjustments can be made during the AI's conversion process to influence the outcome?

    -Adjustments such as changing the 'strange' parameter, modifying the width, and using segmentation information can be made during the conversion process to influence the outcome, allowing for more control over the final design.

  • How does the AI handle the conversion of buildings with different architectural styles and elements?

    -The AI analyzes the architectural elements, such as windows, doors, and materials, and then attempts to convert the building to the new style by adjusting these elements to match the reference. It can also handle different perspectives and dimensions to achieve a more accurate conversion.



๐Ÿ› ๏ธ AI-Powered Design Workflow for Object Conversion

The speaker introduces a new workflow for converting objects using AI without any text prompts. They demonstrate converting a room's furniture to a different style and highlight the ease of use of the 'coffee UI' for designing custom workflows. The process involves the AI adding elements like windows and changing furniture designs to match a given style. The speaker emphasizes the importance of the first pass in understanding the input and algebra, and the ability to convert designs without prompting.


๐Ÿš— Transforming Cars with AI: Ferrari to Bugatti

The speaker shows an AI test converting a Ferrari into a Bugatti without using any prompts. They discuss the AI's process of changing the car's form, such as the fender and lights, and making adjustments to the AI's parameters to refine the conversion. The AI's ability to understand the car's front and back is highlighted, along with its attempt to recreate the car's design elements accurately.


๐ŸŽ๏ธ Car Conversion Challenges: Hyundai to Bullet

The speaker attempts to convert a Hyundai into a Bullet, a significantly different car style, using AI. They focus on the AI's process of changing various car parts like mirrors, body shape, and lighting areas. The AI's intelligence in understanding different parts and adapting the design is praised, and the speaker notes the importance of observing the AI's process.


๐Ÿ  AI in Architecture: Transforming Building Styles

The speaker explores using AI to convert the style of a building, combining elements from two different architectural references. They discuss the AI's ability to adjust elements like balconies, parking doors, and entrances, as well as adding details like chains on the facade. The process involves changing the building's materials, colors, and styles to match the reference images.


๐Ÿข Experimenting with Building Styles and AI Adjustments

The speaker conducts tests to convert one building style to another using AI, adjusting parameters like 'strange' to control the level of detail and form retention. They observe the AI's process of changing elements like parking passes, pillars, and window designs, and note the AI's ability to adapt to different styles, even with challenging perspectives.


๐Ÿ›‹๏ธ Furniture Design Transformation with AI

The speaker tests AI's capability to combine and transform furniture designs without prompts. They discuss the AI's process of starting with a base design and adjusting elements like width and segmentation to achieve a desired outcome. The AI's ability to understand and apply materials and detailing from a reference is highlighted.


๐ŸŽจ Adjusting AI Parameters for Design Details

The speaker makes adjustments to AI parameters to affect the level of detail in the design transformation process. They note how increasing 'strange' helps the AI to separate elements more clearly and discusses the AI's attempt to add elements like an armchair and carpet based on the reference style.


๐Ÿ“… Upcoming Tests and Demonstrations with AI

The speaker concludes by mentioning more tests and demonstrations with AI that they will show in the future. They express enthusiasm for the AI's capabilities and the potential for further exploration of its features and applications.



๐Ÿ’กStable Diffusion

Stable Diffusion refers to a type of artificial intelligence model that is capable of generating images from textual descriptions with a high degree of stability and coherence. In the context of the video, it is the underlying technology that allows for the transformation of objects and scenes without the need for textual prompts, showcasing its ability to understand and recreate visual elements effectively.


A workflow in the video represents a series of steps or processes followed to achieve a particular task. The creator discusses designing their own workflow in 'Coffee UI' to convert objects and scenes, emphasizing the importance of the process in achieving the desired outcome of transforming one object into another while maintaining the integrity of the original scene.

๐Ÿ’กSmart Reference Selection

Smart Reference Selection is the process of choosing appropriate visual references that the AI uses to understand and mimic the style or features of the object it is transforming. The video demonstrates how the AI pays attention to elements like windows, furniture design, and car parts, incorporating them intelligently into the final design.

๐Ÿ’กArchitect and Industrial Design

Architect and industrial design are fields that involve the creation of aesthetically pleasing and functional objects or structures. The video script discusses the application of AI in these domains, showing how the AI can be used to convert one design style to another, such as transforming a room or a piece of furniture into a different style without losing the essence of the original design.

๐Ÿ’กDesign Conversion

Design conversion in the video involves the transformation of one object's design into another, as seen when the creator converts a room into a different design style or changes the type of furniture within a room. The AI's ability to perform this conversion without prompts illustrates its advanced understanding of design elements and styles.


Prompting, in the context of AI, usually refers to providing textual cues or commands to guide the AI's output. However, the video emphasizes a process that does not require any prompting, meaning the AI can autonomously understand and transform designs based on the visual input provided, showcasing a higher level of AI capability.


Resolution in the video refers to the level of detail and clarity in the images produced by the AI. The creator mentions a 'first pass' and a 'second pass,' where the first pass is crucial for understanding the input, and the second pass is used to generate a higher resolution image with more detail, enhancing the quality of the final output.


While the term 'algebra' typically relates to a branch of mathematics, in the video, it is used metaphorically to describe the underlying processes of the AI as it calculates and transforms the visual elements of the input images. It suggests that the AI applies a systematic method to understand and recreate the design elements.

๐Ÿ’กAI's Understanding

AI's understanding, as mentioned in the script, pertains to the AI's ability to comprehend the elements and structure of the input images, such as distinguishing a car from its background or recognizing different parts of a building. This understanding is fundamental to the AI's capability to perform accurate design conversions.


Segmentation in the video refers to the process of separating different parts of an image to focus on specific elements during the design transformation. The creator uses segmentation information to guide the AI in adding details like balconies, parking doors, and entrance details, ensuring that these elements are accurately represented in the final design.

๐Ÿ’กDesign Style

Design style in the video encompasses the unique visual characteristics and elements that define a particular aesthetic or genre of design. The AI's task is to convert one design style to another, such as transforming a modern building into a classic luxury style, demonstrating the AI's flexibility and adaptability in design transformation.


Introduction of a new workflow for converting objects without using any text prompts.

Demonstration of changing furniture types in a room using Smart Reference Selection.

The importance of paying attention to the conversion process for accurate design adoption.

The AI's ability to understand input and algebra without prompting, showcased in the first pass.

A test case of converting a chip car into a Mercedes, highlighting the AI's understanding of complex forms.

The AI's capability to discern car parts such as lighting design, hood, and bumper from the background.

A test converting a Ferrari to a Bugatti, showcasing the AI's form recognition and transformation skills.

Adjusting parameters to influence AI's approach to maintaining or transforming car forms.

The AI's struggle with identifying the front and back of a car due to a low syringe amount.

Conversion of a Hyundai to a bullet, emphasizing the AI's ability to understand and transform different car parts.

Adjusting 'estrange' values to influence the AI's approach to keeping the original form or transforming it.

A BMW converted to a Ferrari, illustrating the AI's challenge in transforming between vastly different car types.

The AI's approach to transforming architectural styles, combining elements from different building references.

The impact of input angles and perspectives on the AI's ability to accurately transform building designs.

A test combining a modern building with a luxury classic style, demonstrating the AI's adaptability.

The AI's ability to understand and apply wooden materials and design elements from references.

Furniture transformation tests, showcasing the AI's capability to combine forms and materials without prompts.

The final demonstration of the AI's ability to transform various objects and styles, emphasizing its versatility.