(Work in Progress)
Making QR Codes with Stable Diffusion
What is Stable Diffusion?
Stable Diffusion is a deep learning, text-to-image model that generates detailed images based on text descriptions without requiring a custom model.
How it can be used?
Stable Diffusion can be used for various tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt.
There are various extensions, for specific use cases, ranging from video animation, human pose, speaking human avatars, infinite zoom and much more.
Why is Stable Diffusion relevant to QR Codes?
One of the extensions is ControlNet, which allows you to precisely control features of generated image. In QR Diffusion we use ControlNet to define dark and light zones in the image to encode data and make it readable.