How to Transform Logos into 3D (Stable Diffusion & ControlNet)

How to Transform Logos into 3D (Stable Diffusion & ControlNet)
Step into the future of logo design: Unveiling 3D transformations through the dynamic duo of Stable Diffusion & ControlNet, revolutionizing brand aesthetics.

1. Introduction

Embark on a transformative journey into the future of logo design, where the fusion of Stable Diffusion & ControlNet opens the gateway to captivating 3D transformations. This dynamic duo is reshaping brand aesthetics, pushing the boundaries of creativity and storytelling. Join us as we explore how this innovative synergy revolutionizes logo design, elevating brands to new dimensions of visual expression.

2. Requirements & Downloads (ControlNet & Model, Lora's)

Before delving into the process of transforming logos into 3D masterpieces, a few prerequisites lay the foundation for our creative journey. Firstly, ensuring the presence of ControlNet is paramount, complemented by the installation of the requisite "Canny" model.

Downloading ControlNet and its Pre-Trained Models is explained here:

How to Install ControlNet Extension in Stable Diffusion (A1111)

For this tutorial we will be using the "reV Animated" checkpoint and two Lora's (Neonpunkai & 3DMM):

With these essential components in place, we're poised to embark on the exciting transformational endeavor.

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4. ControlNet Settings Stable Diffusion (txt2img)

With the foundational 2D logo now in place, it's time to transition to the next pivotal step: configuring your ControlNet settings. Here, we delve into the heart of ControlNet, exploring its core settings that hold the potential to unlock exceptional outcomes. By fine-tuning these settings, you can achieve results that truly align with your vision, bringing us one step closer to realizing the captivating 3D transformation. Let's dive into the details and bring your logo to life in stunning dimensions:

  • Go to the "txt2img" tab in Stable Diffusion
  • Open ControlNet and upload your black on white 2D logo in ControlNet Unit 0
  • Make Sure to tick the boxes "Enable" & "Pixel Perfect"
  • For the "Control Type" choose "Canny" and select "control_canny_fp16" as "Model". how-to-transform-logos-into-3d-stable-diffusion-controlnet-upload-logo.webp

Once these adjustments are in place, it's the perfect moment to experiment with ControlNet's "Control Weight". This parameter becomes our tool to seamlessly meld and transform the logo, ensuring that it harmoniously aligns with the envisioned outcome. how-to-transform-logos-into-3d-stable-diffusion-controlnet-upload-logo-control-weight.webp

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5. Testing Control Weights (X/Y/Z plot)

The initial setting for the "Control Weight" is 1 by default, yet determining the optimal value for crafting the ultimate logo remains a pivotal question. A higher value maintains the logo's structure, whereas a lower value will blend the logo more with the surroundings.

In order to determine the most suitable value, we'll utilize the handy "X/Y/Z plot" script within Stable Diffusion. This ingenious tool empowers us to assess and compare multiple values. In this case we will compare the following Control Weight values: 1, 1.5, and 2. This step-by-step evaluation aids in pinpointing the value that perfectly aligns with our creative objectives. The result are down below:


In this analysis, we observe that lower values lead to a greater blending of the logo with its surroundings, while higher values tend to preserve its original structure. The choice of value depends on your preference.

Personally, I aim to maintain the logo's integrity and will opt for a value of 2 for the final design. Curious to delve deeper into the "X/Y/Z plotting" technique? Discover more insights on this topic:

XY Plotting to Compare Stable Diffusion Checkpoints

7. Examples 3D Logos (Stable Diffusion & ControlNet)

Example 1: how-to-transform-logos-into-3d-stable-diffusion-controlnet-example-1.webp

Example 2: how-to-transform-logos-into-3d-stable-diffusion-controlnet-example-2.webp

Example 3: how-to-transform-logos-into-3d-stable-diffusion-controlnet-example-3.webp

Example 4: how-to-transform-logos-into-3d-stable-diffusion-controlnet-example-4.webp

8. Conclusion

In conclusion, our journey through the dynamic fusion of Stable Diffusion & ControlNet has illuminated a path to transformative logo design. Armed with this powerful partnership, we're equipped to create 3D logos that redefine brand narratives and captivate audiences. As we bid farewell to this adventure, remember that the art of logo transformation has evolved, and the possibilities are boundless.

Frequently Asked Questions

Selecting the ideal "Control Weight" value involves balancing logo preservation and merging with the surroundings. Higher values maintain the logo's structure, while lower values blend it more with the background. To determine the best fit, use Stable Diffusion's "X/Y/Z plot" script. The choice ultimately depends on your creative vision and desired outcome.

Absolutely! Tailoring Loras to match your brand's style is encouraged. Utilize the 3DMM & Neonpunkai Loras for a neon-themed design, or explore other combinations that resonate with your brand identity. Experimentation is key, allowing you to craft a distinctive visual language that aligns perfectly with your brand's personality and objectives.

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