Didn't like other controlnets since they gave off distortions and couldnt copy pose, so i did my own.

LLite model trained with various images scrapped from twitter and previous models datasets.

Previews generated with pixel perfect copy resolution with "My prompt is more important option".

To generate cond images script was used:

from PIL import Image
import os
imgs = [img for img in os.listdir(os.getcwd()) if (os.path.isfile(os.path.join(os.getcwd(),img)) & (os.path.splitext(img)[1] in ['.jpg','.png','.jpeg']))]

from controlnet_aux.processor import Processor
os.makedirs(str("roast"), exist_ok=True)
for img in imgs:
  temp = Image.open(img).convert('RGB')
  width, height = temp.size
  processor_id = 'lineart_realistic'
  processor = Processor(processor_id)
  temp = processor(temp, to_pil=True)
  temp.save('./roast/' + os.path.splitext(img)[0] + '.jpg', 'jpeg', quality=95)

To make controlnet_aux package generate pixel perfect cond images file controlnet_aux\lineart\__init.py was modified at 138 line like following:

...
        device = next(iter(self.model.parameters())).device
        if not isinstance(input_image, np.ndarray):
            input_image = np.array(input_image, dtype=np.uint8)
        h1, w1, _ = input_image.shape / starting here
        detect_resolution = min(h1, w1)
        image_resolution = min(h1, w1) / ending here
        input_image = HWC3(input_image)
        input_image = resize_image(input_image, detect_resolution)
...