zylim0702 / qr_code_controlnet

ControlNet QR Code Generator: Simplify QR code creation for various needs using ControlNet's user-friendly neural interface, making integration a breeze. Just key in the url !

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  • 328.6K runs

Input

Output

Run time and cost

This model runs on Nvidia A40 GPU hardware. Predictions typically complete within 6 seconds.

Readme

Introducing the ControlNet QR Code Generator – a tool that uses ControlNet models trained on stable diffusion 2.1. It lets you turn URLs into QR codes with images easily.

These models have learned from 150,000 pairs of QR codes and QR code artwork. This means you can make QR codes that look good and work well.

The Stable Diffusion 2.1 version is better, made for specific needs. But if you have the older 1.5 version, there’s a model for that too. You can find separate versions for different uses.

ControlNet is a special kind of neural network. It adds extra rules to how models work. It does this by copying the weights of the neural network into two copies: one that you can’t change and one that you can. The copy you can change learns from the conditions you give it. The other copy stays the same, keeping your model safe.