metadata
license: creativeml-openrail-m
datasets:
- Nacholmo/controlnet-test-darkest-color
- yuvalkirstain/pexel_images_lots_with_generated_captions
tags:
- controlnet
base_model: runwayml/stable-diffusion-v1-5
New version:
https://huggingface.co/Nacholmo/controlnet-qr-pattern-v2
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
Recommended parameters:
Steps: +50, Size: 920x920,
ControlNet:
preprocessor: none,
weight: 1,
starting/ending: (0, 0.75),
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
To achieve optimal results with the Hires fix, ensure that your resolution is set to a minimum of 600x600. Additionally, set the denoising strength to a minimum of 0.7 and the hires steps to at least 20.
Example prompt parameters:
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)"