Unlock Your Brand’s Visual DNA: How to Fine-Tune Depix’s AI for Consistent, On-Brand Designs
Unlock Your Brand’s Visual DNA: How to Fine-Tune Depix’s AI for Consistent, On-Brand Designs
Imagine capturing the essence of your brand’s visual identity—its unique "brand DNA"—and applying it effortlessly to new designs or breathing fresh life into older ones. With Depix’s AI-powered style transfer, you can fine-tune a model on a set of images to encode your brand’s specific style and use it across your entire design lineup. In this blog post, we’ll walk you through the process, showcase its potential with a practical example, and highlight why this feature is a game-changer for maintaining brand consistency while sparking innovation. In this case we will apply the “style” of a Rolex Oyster Chronograph on a watch of a different shape. Showing how you can use Depix to get ideas on a new product line.
Why Fine-Tuning AI for Your Brand Matters
Every brand has a signature look: the colors, textures, shapes, or design motifs that make it instantly recognizable. But ensuring that new products align with this identity—or that older designs feel relevant today—can be time-consuming and tricky. That’s where Depix’s AI comes in. By training our model on a curated set of your brand’s images, you can teach it to understand and replicate your unique style, then apply it seamlessly to any design, new or old.
Here’s how you can make it happen.
Step-by-Step Guide: Fine-Tuning Depix’s AI on Your Images
Follow these steps to tune Depix’s AI model on a set of images and apply your brand’s DNA to new or older designs.
1. Select Your Image Set
What to Include: Gather a collection of images that embody your brand’s visual identity. These could be product photos, marketing materials, or iconic designs that showcase your style.
How Many: Aim for 5–30 high-quality images to give the AI a robust understanding of your brand’s elements—think color palettes, patterns, and key design features.
Tip: Diversity is key, but keep the set cohesive to reflect your brand’s core aesthetic.
2. Prepare Your Images
Quality Check: Ensure your images are high-resolution and consistent in theme. Clear, crisp visuals help the AI learn more effectively.
Organization: Use Depix’s platform to upload and organize your dataset easily. You can crop or tweak images directly in the tool for uniformity.
Tip: Consistent lighting or backgrounds can improve the AI’s ability to focus on stylistic details.
3. Fine-Tune the Model
The Process: Launch the fine-tuning process through Depix’s user-friendly interface. The AI will analyze your image set, identifying and learning the patterns, textures, and elements that define your brand.
Typical training set of 5-30 images within a family of related images. In this case, the images were not labeled with any special labels. Labeling can improve inference accuracy when using a text prompt.
4. Apply the Style to New or Older Designs using the create tab.
New Designs: Upload the concept or sketch, select your fine-tuned model, and watch Depix apply your brand’s style instantly.
Older Lineup: Revitalize archived designs by uploading them to the platform and letting the AI refresh them with your learned brand DNA.
Flexibility: Fine-tune the intensity of the style application to balance heritage with innovation.
Tip: Generate many iterations varying influence of the source image while keeping the prompt the same. Then choose the one you like the most from the array of new creations.
Generate an array of new watches varying the influence of the base image until you find “the one”.
Real-World Example: Applying the style of modern watch with a very different shape on a round chronograph.
Let’s see this in action with a hypothetical scenario. Picture a watch brand known for its elegant dials and vintage metal straps. They want to update their classic lineup for a modern audience while keeping the timeless charm intact.
Step 1: They select 30 images one of their best-selling watches, highlighting intricate bezels, classic fonts, and metals.
Step 2: The images are uploaded to Depix.
Step 3: Fine-tune the AI model by clicking “train”
Step 4: They use Style Drive to appliy the style of other watches or fashing images, or another creative choice. Get creattive with your style driver image and then choose your favorites.
Why This Works for Your Brand
Fine-tuning Depix’s AI on your images offers powerful benefits:
Consistency: New products or refreshed classics stay unmistakably “on-brand,” no matter when they were designed.
Efficiency: Automate style application, saving hours of manual tweaking so your team can focus on creativity.
Versatility: Blend your brand’s heritage with modern trends, keeping your lineup fresh and relevant.
Whether you’re launching a new collection or reviving an older lineup, this process ensures your brand’s DNA shines through every design.
For me this was the winner. It’s not perfect, but its the worst it will ever be, and not bad as a result of a two hour creative session. AI has allowed me (an engineer) to explore a creative side and create images that I have only dreamed about. What will you create?
Get Started with Depix Today
Depix’s AI doesn’t just mimic styles—it learns them, making it the ultimate tool for brands and designers who value precision and innovation. Ready to tune an AI model on your images and see your brand’s style come to life? Sign up for Depix, upload your image set, and start fine-tuning today. Your next standout design—or refreshed classic—is just a few clicks away.
This approach not only keeps your brand consistent but also opens up a world of creative possibilities. Try it out, and let us know how Depix helps you bring your brand’s visual DNA to every design!
Bridging the Gap: How Generative AI Integrates 2D, 3D, and Physical Workflows
In the fast-evolving world of car design, the creative process often feels like a juggling act. Designers bounce between sketching bold concepts on paper, refining them in 3D software, and sculpting physical clay models to bring their vision to life. Each stage has its own strengths—but also its own disconnects. At Depix Technologies, we’re changing that narrative with generative AI that seamlessly bridges 2D sketches, 3D models, and physical prototypes into one cohesive workflow. Here’s how our technology is transforming the way automotive designers work.
From Sketch to Reality: The Power of 2D Integration
Every car begins with an idea, often scribbled as a rough sketch. These early drawings are bursting with creativity but lack the detail needed to evaluate their potential. With Depix’s generative AI, a simple sketch can be transformed into a photorealistic rendering in minutes. By leveraging image influence—where designers can guide the AI with reference styles or textures—our platform turns a 2D concept into a vivid, lifelike image that’s ready for feedback or iteration. No more waiting weeks to see if that bold curve or sleek grille holds up in a real-world context.
Elevating 3D Models with Photorealistic Precision
Once a sketch moves into the 3D modeling phase, designers often face a new challenge: screen captures of digital models can feel flat or uninspiring, making it hard to sell the vision to stakeholders. Depix’s AI steps in here, too. Take a screenshot of a 3D model, upload it to our platform, and watch as it’s rendered into a photograph-quality image—complete with realistic lighting, shadows, and material finishes. This isn’t just about aesthetics; it’s about giving teams a clearer, more tangible view of the design before committing to costly physical prototypes.
Breathing Life into Clay Models
Physical clay models have long been a cornerstone of automotive design, offering a hands-on way to refine proportions and surfaces. But clay alone can’t tell the full story. Photograph a 1/3-scale clay model, feed it into Depix’s AI, and our technology enhances it into a stunningly realistic rendering. Whether it’s adding a glossy paint finish, simulating chrome accents, or placing the car in a contextual environment like a city street, this step bridges the gap between the tactile and the digital. Designers can iterate faster, confident that what they see aligns with the final product.
A Unified Workflow for Faster Innovation
What sets Depix Technologies apart is how our generative AI unifies these stages into a single, fluid process. Sketches don’t just stop at 2D—they evolve into detailed renderings. 3D models don’t stay locked in software—they leap into photorealistic visuals. Clay models don’t remain static—they become dynamic, market-ready designs. By integrating these workflows, we’re not only saving time but also unlocking new creative possibilities. Designers can experiment freely, knowing they can visualize their ideas at every step with unprecedented speed and fidelity.
The Future of Car Design is Here
At Depix, we believe the future of automotive design lies in breaking down silos. Our generative AI doesn’t replace the artistry of sketching, the precision of 3D modeling, or the craftsmanship of clay sculpting—it enhances them, weaving them together into a process that’s faster, more collaborative, and more innovative. Whether you’re sketching the next iconic sports car or refining a sustainable urban vehicle, Depix Technologies is here to help you see your vision through, from first stroke to final render.
Ready to bridge the gap in your design process? Try Depix today and experience the power of generative AI in action.
The Convergence of AI and 3D: A New Era in Digital Image Creation
Integration of generative AI into Autodesk VRED is one example of the convergance of AI and 3D. As this new era evolves, expect to see integration into all 3D modeling softwares.
The digital art world is experiencing a fundamental transformation as artificial intelligence image generation merges with traditional 3D modeling and rendering workflows. This convergence is creating entirely new possibilities for artists, designers, and creators while challenging our understanding of the creative process itself.
Understanding the Traditional 3D Pipeline: To appreciate the magnitude of this change, let's first consider how 3D imagery has traditionally been created. Artists would begin by modeling objects in 3D software, carefully crafting every vertex and polygon to build their desired forms. They would then create and apply materials, set up lighting, and finally render their scenes - a process that could take hours or even days for complex images. This workflow, while powerful, requires significant technical expertise and substantial time investment.
Enter AI Image Generation: The emergence of AI image generation tools has introduced a radically different approach to creating images. These systems can produce complex visuals from text descriptions or reference images, understanding and interpreting creative intent in ways that seemed impossible just a few years ago. However, AI-generated images, while impressive, often lack the precise control and technical accuracy that 3D modeling provides.
Fully detailed geometry set in Autodesk VRED combined with a generative AI plugin enables visualization in any scene on demand.
The New Hybrid Workflow: What we're seeing now is the beginning of a fascinating synthesis between these two approaches. Artists are developing workflows that leverage the strengths of both technologies. For instance, a designer might use 3D software to create the basic geometry of a product, ensuring all proportions and mechanical elements are exactly correct. They might then use AI tools to generate complex textures, environmental details, or lighting variations that would be time-consuming to create traditionally.
Some specific ways this hybrid approach is being implemented include:
Environmental Integration: 3D models can now be seamlessly integrated into AI-generated environments. Artists might render their 3D assets with transparent backgrounds and have AI tools generate and blend complex environmental contexts around them, creating perfectly integrated scenes in a fraction of the traditional time.
Iterative Design Exploration: Perhaps most revolutionary is how this combination accelerates the design exploration process. Artists can quickly generate multiple variations of their 3D models by using AI to explore different materials, lighting conditions, and contextual settings. This rapid iteration allows for more thorough design exploration and better-informed creative decisions.
AI generated “rendering” keeping accurate represenation of original 3D model.
The Impact on Production Pipelines: This convergence is reshaping production pipelines across multiple industries. In product visualization, for example, companies can now create marketing materials more quickly and with greater creative variation. Architectural visualization firms are using these hybrid techniques to produce more atmospheric and emotionally engaging renderings while maintaining technical accuracy.
Looking to the Future: As these technologies continue to evolve, we're likely to see even deeper integration. Future tools might allow for real-time AI assistance during the 3D modeling process itself, suggesting forms and variations as artists work. We might see AI systems that can understand and modify 3D geometry directly while maintaining the technical precision that traditional 3D modeling provides.
It’s fast and easy to create images from any angle with any scene using a text description to express your ideas for visualization.
The Evolving Role of the Artist: This technological convergence isn't replacing artists - it's empowering them to focus more on creative direction and artistic intent rather than technical execution. The artist's role is evolving from being primarily a technical operator to becoming more of a creative director, making high-level decisions about aesthetic direction while leveraging AI tools to explore and execute their vision.
Technical and Creative Considerations: Despite the exciting possibilities, this hybrid approach requires careful consideration. Artists need to understand the strengths and limitations of both AI and traditional 3D tools to use them effectively together. Issues like maintaining consistent scale, lighting, and perspective between AI-generated elements and 3D-rendered components require careful attention and technical expertise.
For those looking to embrace this new paradigm, developing a strong foundation in traditional 3D principles remains crucial. Understanding form, lighting, and composition helps artists make better use of AI tools and ensures their output maintains professional quality and technical accuracy.
The fusion of AI image generation with traditional 3D workflows represents more than just a technical advancement - it's a fundamental shift in how we approach digital image creation. As these technologies continue to evolve and integrate more deeply, we're likely to see entirely new forms of digital art and design emerge, driven by this powerful combination of precise control and creative automation.
From Clay to Reality: Exploring Design Lab's Style Drive Technology
In the ever-evolving landscape of automotive design visualization, Depix Design Lab's Style Drive technology represents a breakthrough in how we transform early-stage clay models into photorealistic product visualizations. Today, I'll walk you through a fascinating example of this technology in action, demonstrating how it bridges the gap between physical modeling and digital representation.
Photo of scale clay concept model
Understanding Style Drive: At its core, Style Drive is an innovative tool within Design Lab that performs what we might call "visual translation." Think of it as an artist who can take the essential character of one image and apply it to another while preserving the fundamental structure. This process is far more sophisticated than simple filtering or overlaying - it's about understanding and transferring the visual language from one context to another.
The Process in Action: Our specific case study began with a photograph of a clay model truck. Clay modeling has long been the gold standard in automotive design, allowing designers to perfect form and proportion in three dimensions. However, while crucial for design development, these models lack the finish and context of a final product.
This is where Style Drive enters the picture. We selected a reference image - a production truck photographed in a desert setting - as our "style driver." This image contained all the real-world elements we wanted to transfer: the metallic finish of the paint, the play of natural light on surfaces, the interaction with the environment, and the sense of scale and presence in the landscape.
Photo visualized in Style Drive
When Style Drive processes these images, it performs a complex analysis that separates content from style. It preserves our clay model's exact form and proportions while adopting the desert scene's materiality and environmental integration. The result is remarkable - a visualization that shows how the clay model would appear as a full-size production vehicle in its intended environment.
Adding Motion to the Mix: The transformation doesn't end with still images. Using Design Lab's upcoming image-to-video tool, we took our styled visualization and brought it to life through motion. This additional step adds a new dimension to the visualization, allowing stakeholders to see how the design works from multiple angles and in dynamic situations.
Camera follows the car
The Bigger Picture: This workflow represents more than just a technical achievement - it's a fundamental shift in how we approach design visualization. Traditionally, a significant gap existed between the physical modeling phase and final visualization, often requiring extensive CAD work and rendering. Style Drive creates a direct bridge between these stages, allowing designers to quickly iterate and explore how their clay models would translate to real-world contexts.
Camera flys around the car
For design teams, this means faster decision-making, more efficient iteration cycles, and better communication with stakeholders. Being able to quickly transform a clay model photo into a convincing production visualization and then into motion provides invaluable feedback during the design process.
Looking Forward: As tools like Style Drive and the upcoming image-to-video feature continue to evolve, we're seeing the emergence of a new paradigm in design visualization. The ability to rapidly transform early-stage designs into convincing, contextualized visualizations is breaking down traditional barriers in the design process, allowing for more fluid and efficient development cycles.
This technology doesn't replace the importance of physical modeling or traditional design skills. Instead, it enhances them by providing immediate feedback on how design decisions might translate to the real world. It's a powerful example of how artificial intelligence can augment and accelerate the creative process while preserving the fundamental importance of human design expertise.
[Editor's Note: This post will be enhanced with images showing the progression from the clay model to the final visualization, including before/after comparisons and video clips demonstrating the motion capabilities.
Cor Seenstra reimagines the Chevrolet Bel Air
Reimagining an Icon: The Bel Air Concept
Cor Seenstra, on CarDesignTV, tackled an ambitious challenge: reimagining the Chevrolet Bel Air for the modern era. Our AI-powered platform enabled us to blend classic proportions with contemporary design sensibilities, creating a concept that honors its roots while embracing future technology.
Design Evolution His process began with quick ideation sketches focusing on the Bel Air's signature elements: the long, sweeping roofline, floating hardtop, and pronounced rear fins. He reinterpreted the bold chrome detailing into a more streamlined, sculpted aesthetic, incorporating modern LED lighting signatures and aerodynamic shaping.
Bringing Concepts to Life Using Depix.AI's advanced rendering platform, Cor transformed initial line sketches into photorealistic visualizations. The platform enabled rapid experimentation with:
Body colors and finishes
Lighting conditions
Material textures
Environmental reflections
Key Design Elements
A glass canopy-style roof inspired by the original hardtop design, seamlessly integrating structural supports
Subtle, aerodynamic fin elements that echo the dramatic 1957 tailfins while enhancing modern performance
Contemporary front-end styling featuring slim LED signatures and reimagined chrome accents
All-electric powertrain with long-range battery pack and high-performance dual motors
AI-Enhanced Design Process Depix.AI's platform dramatically accelerates the design workflow. Tasks that traditionally require days in Photoshop or 3D modeling software can be completed in hours. By automating complex rendering tasks like reflections, materials, and lighting effects, our platform frees designers to focus on creative storytelling and form development.
This project demonstrates how AI tools can preserve the spirit of automotive classics while pushing design boundaries. Whether reimagining an icon or creating something entirely new, Depix.AI provides the tools to bring your vision to life.
Experience the future of automotive design at depix.ai.