ModelsControlnet

QRPattern sdxl-ControlNet-LLLite

QRPattern sdxl-ControlNet-LLLite

ControlNet-LLLite QRPattern

QRPattern sdxl-ControlNet-LLLite

Warning: Trained using a experimental implementation of ControlNet-LLLite

Conditioning only 25% of the pixels closest to black and the 25% closest to white.

Thanks to the compact ControlNet-LLLite file size, this model is just 1GB, while the opticalpatter version comes in at 5GB at its standard size and 2.5GB when halved.

Notes

* Compatible with default controlnet extension in automatic111

* Comfyui need this custom node https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI

* The actual QR part is improved in relation to the optical pattern version, but it is still a work in progress

IMPORTANT:

Try to generate a lot of images and adjust the parameters. The example parameters are the ones used in most images here, many images require different values.

Example parameters

* Sdxl Model: realvisxlV20

* Preprocessor: none

* ContolNetModel: controllllite_v01256512e_sdxl_qrpattern

* Control Weight: 1

* Starting Control Step: 0

* Ending Control Step 0.75

* Resolution: 1024×1024

QRPattern sdxl-ControlNet-LLLiteQRPattern sdxl-ControlNet-LLLiteQRPattern sdxl-ControlNet-LLLiteQRPattern sdxl-ControlNet-LLLiteQRPattern sdxl-ControlNet-LLLite

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QR Pattern and QR Pattern sdxl were created as free community resources by an Argentinian university student. Training AI models requires money, which can be challenging in Argentina’s economy.

If you find these models helpful and would like to empower an enthusiastic community member to keep creating free open models, I humbly welcome any support you can offer through ko-fi here

https://ko-fi.com/nacholmo

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