metadata
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, tomorrow 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
