---
license: creativeml-openrail-m
datasets:
- Nacholmo/controlnet-closesttoblack
---

# Controlnet model for use in qr codes

Conditioning only 15% of the pixels closest to black, so as not to affect the luminance of the rest of the image. It goes 1500 steps so far and is quite promising

### The concept seems to work, now I have to improve the dataset and do the training again, this week I think I will. Also I want to make a Preprocessor to have a blur slider

1500.ckpt is the automatic1111 controlnet extension compatible weight, 1500.yaml is also important 

## 1.5k steps cherry picked examples (not scannable yet)
Steps: 50,
Sampler: DPM++ 2M Karras,
ControlNet: 
preprocessor: none,
model: 1500 [dafc5f57], 
weight: 1.5, 
starting/ending: (0, 0.9), 
controlNet is more important
![1.png](https://s3.amazonaws.com/moonup/production/uploads/62fb24dc86456e533456ebd1/8TmIVPjW_fIpOQYYLCmUu.png)
![2.png](https://s3.amazonaws.com/moonup/production/uploads/62fb24dc86456e533456ebd1/pxMIsT-0GepdXgdsyDknl.png)
![3.png](https://s3.amazonaws.com/moonup/production/uploads/62fb24dc86456e533456ebd1/dJ0OaHZ3zKJKhaDYZYCCn.png)
![4.png](https://s3.amazonaws.com/moonup/production/uploads/62fb24dc86456e533456ebd1/iGzLqg7sFrsyQKYs5f4PN.png)