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---
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. ̶I̶t̶ ̶g̶o̶e̶s̶ ̶1̶5̶0̶0̶ ̶s̶t̶e̶p̶s̶ ̶s̶o̶ ̶f̶a̶r̶ ̶a̶n̶d̶ ̶i̶s̶ ̶q̶u̶i̶t̶e̶ ̶p̶r̶o̶m̶i̶s̶i̶n̶g̶
### 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
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