ControlNet models and settings to use for QR Code Art

There are bunch of different ways how to use control net to generate QR codes. Some people suggest using two ControlNets (0 and 1), but other workflows are achieving exceptional results with just a single control net model application. Recently there are a few dedicated QR Code ControlNet models for QR code generation
We are going to show you a few examples of each control net model combinations and it results!

1. Controlnet QR Code by DionTimmer

This dedicated QR Code ControlNet model popped up on huggingface just recently and the author claims it has been trained on "large dataset of 150,000 QR code + QR code artwork couples". It has versions for both Stable Diffusion 1.5 and 2.1.

Stable Diffusion v1.5: https://huggingface.co/DionTimmer/controlnet_qrcode-control_v1p_sd15

Stable Diffusion v2.1: https://huggingface.co/DionTimmer/controlnet_qrcode-control_v11p_sd21

Controlnet for making QR Code by DionTimmer

2. ControlNet QR Pattern by Nacholmo

Another dedicated QR Code ControlNet model available on HugginFace by Nacholmo. https://huggingface.co/Nacholmo/controlnet-qr-pattern-v2

Automatic1111: (.safetensors and .yaml file downloads) https://huggingface.co/Nacholmo/controlnet-qr-pattern-v2/tree/main/automatic1111

Example of outfor when using Stable Diffusion ControlNet model by Nacholmo — Stable Diffusion ControlNet model by Nacholmo

3. QR Code Monster by Monster Labs

Lastly there is a ControlNet model created by Monster Labs. In my experiments it was not producing overly great results and the scannability was poor compared to the others. https://huggingface.co/monster-labs/control_v1p_sd15_qrcode_monster/tree/main

Example output of QR code monster ControlNet model by Monster Labs

4. ControlNet Model - "Tile"

Single ControlNet model is mostly used when using the img2img tab. Workflow includes uploading the same image to StableDiffusion input as well as the ControlNet image.