README.md

---
license: creativeml-openrail-m
tags:
- controlnet
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
---

# OpticalPattern

Conditioning only 25% of the pixels closest to black and the 25% closest to white
![image/png](https://cdn-uploads.huggingface.co/production/uploads/62fb24dc86456e533456ebd1/qQiL9tNoE4PC-eYzlNhUz.png)

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

## Example parameters
* Sdxl Model: realvisxlV20
* Preprocessor: none
* ContolNetModel: control_v10e_sdxl_opticalpattern
* Control Weight: 1
* Starting Control Step: 0.15
* Ending Control Step 0.75
* Prompt: cinematic scenery city street
* Negative prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), (illustration, 3d, 2d, painting, cartoons, sketch, blurry, film grain, noise)
* Resolution: 1024x1024


# Notes

* Version v10e is now compatible with comfyui and low vram option in automatic111
* Im still working in a "production ready" version with improve sharpness, for now I recommend the 4x-UltraSharp upscaler
* QRPattern version still is in work in progress
* OpticalPattern v10e can produce scanneable qr codes for iphone users, but the goal is a version compatible with android google lens also
* Thanks for the support, you guys are awesome!


![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/62fb24dc86456e533456ebd1/NhISH5YjzkJFtxEKsZFsT.jpeg)

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/62fb24dc86456e533456ebd1/iLMNEgKXZFSUmn9YfYRaG.jpeg)

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/62fb24dc86456e533456ebd1/2qs_EG0WVn8bo57rOMS83.jpeg)

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/62fb24dc86456e533456ebd1/vVLijS8thnYZMIcbKPObH.jpeg)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/62fb24dc86456e533456ebd1/HJWZR_Lj5uYyCnXzSihuF.png)

----
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