metadata

license: creativeml-openrail-m
datasets:
  - Nacholmo/controlnet-test-darkest-color
  - yuvalkirstain/pexel_images_lots_with_generated_captions

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. Also manteing the color to some degree.

Lasted version on the Automatic1111-Compatible folder

Move the .yaml to extensions/sd-webui-controlnet/models

If you want to use it in diffusers (Not automatic111), the recommended checkpoint is the 11500

Recommended parameters

Steps: 40, Size: 920x920,
ControlNet:
preprocessor: none,
weight: 1,
starting/ending: (0, 0.75),
resize mode: Crop and Resize,
pixel perfect: False,
control mode: Balanced

Play arround with the starting step,0 to 0.25 its the sweetspot,if it start at 0 the qr has priority, the higher you raise them, the stronger the prompt gets

1girl, solo, red flower, print dress, bow, year of the ox, food print, short hair, black hair, looking at viewer, bangs, long sleeves, red bow
Negative prompt: (KHFB, AuroraNegative),(Worst Quality, Low Quality:1.4)
Steps: 40, Sampler: DPM++ 2M SDE Karras, CFG scale: 6, Seed: 1463218996, Size: 920x920, Model hash: b42b09ff12, Model: cetusMix_v4, Clip skip: 2, Version: 0ddf613, Parser: Full parser, ControlNet 0: "preprocessor: none, model: 11500_color [c4220211], weight: 1, starting/ending: (0, 0.75), resize mode: Crop and Resize, pixel perfect: False, control mode: Balanced, preprocessor params: (-1, -1, -1)"