On this joyful day, my guests are Ales and Karolina – Founders of QR diffusion!
They are a self-funded indie startup of tech-enthusiasts. Hoping to transform ordinary QR codes into work of AI Art.
QR Diffusion is QR generator in the alpha stage of development that uses AI to transform ordinary QR codes into stunning artwork.
Traditional QR codes are black and white grids that contain information that can be scanned and decoded by smartphones and other devices. QR Diffusion uses Stable Diffusion, a powerful generative AI model, to create QR codes that incorporate artistic visual elements resembling the prompt provided by the user.

QR Diffusion is like an architect who can use the blueprint to create a beautiful and functional building. The architect can add artistic elements, such as different colors, textures, and shapes, to the building without compromising its functionality.

In the same way, QR Diffusion can add artistic elements to a QR code without compromising its functionality. This means that the QR code can still be scanned and decoded by smartphones and other devices, but it will also be visually appealing.
Chris: Hi there, can you tell us a bit more about yourself and what inspired you to create QR diffusion?
Ales: We use the Stable Diffusion and ControlNet models, on top of which we have built the website UI. We allow users to access all the Stable Diffusion and ControlNet options in Expert mode, while making it as straightforward as possible in Beginner mode. In Beginner mode, all you need to do is pick a template, click the edit button, and insert your URL address. We’ve integrated an outpaint option, which is currently undergoing improvements. However, even now, it doesn’t restrict you from customizing your QR Code to any size.
Chris: Can you describe your journey into the world of computer science and artificial intelligence?
Chris: What are some of the challenges you faced in developing QR diffusion?
Ales: Nothing major; it’s just a pleasure for us to learn something new and exciting. The scannability of QR codes can sometimes be an issue, so we are working on a tool that would rate and rank how well a particular QR code scans and reads data. However, let’s remember that a few years ago, many Android phones had problems reading ordinary QR codes without a QR reader. So, we believe that even reading complicated QR codes is only a matter of time
Chris: What are QR diffusion plans for future development and expansion?
Karolina: As we mentioned, we plan to introduce a branded image-to-image QR tool. Users can upload an existing logo, and we will transform it into a readable QR code. Alternatively, they can upload existing graphic material, and we will embed the QR code into their design. We are also working on new models to improve the scannability of QR codes. Related to that, our main focus is to provide a wide range of prepared templates to make the creation process fun for everyone.
Chris: What are the key factors that contribute to the efficiency and performance of QR diffusion?
Ales: We use the latest nVidia graphics in the backend, so each QR code takes only a couple of seconds to generate. We’ve observed an increasing demand, but our partner has far more graphic power than we could ever utilize. The system is built on a scalable endpoint architecture; thus, in the face of high demand, we can always ensure that performance stays consistent.
Chris: What are some potential applications of QR diffusion in various fields?
Chris: Thanks for being with me, any last words? Where can our readers follow you?Ales: Thanks for your questions. You can follow us on the usual social media channels: Instagram, Facebook, and Twitter. Karolina manages all of them. However, the best approach would be to try it out for yourself. It’s free after a quick registration with your email, and you only need to pay if you’re creating a lot of QR codes. So, we hope to see you on QR Diffusion.com!
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