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. 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