Trained on images of artists whose artwork has an ink brush or heavy lineart style. Example images have very minimal editing/cleanup.
Reproducibility
If you want to reproduce the images below, I've prepared a more detailed version of the prompt settings and seed values in this Github Gist: https://gist.github.com/kudou-reira/eadf52cef156eb566cff886221823748
Stable Diffusion Workflow Videos
ControlNet 1.1 for Character Design | Part 2
Creating a PNGtuber with Character LoRA
Training LyCORIS (LoCon/LoHa) for Style | LoRA Part 2
ControlNet for Character Design | Part 1
Training LoRA for Style | LoRA Part 1
Creating Stylized Vector Logo Characters
How I train DreamBooth for Style:
Model Demonstration:
Example settings: Steps: 50, Sampler: Euler, CFG scale: 7, Size: 512x512
Example prompt: DBlinebrush style, masterpiece, 1girl, beautiful portrait of an anime female adventurer, monochrome
Description
Trained on more human images. It's a more manga-y style with an emphasis on detailing through lines. It works well as an in-painting model (after merging with the 1.5 in-painting model) to bring dreamy or blurry forms into focus.
Updated description (1/12/23):
Sorry for the confusion. Perhaps I wasn't clear enough in the description. The linebrush version v2-1 is used as one part of the merge to create a 1.5 inpainting model version of the linebrush model. Then, I used the new inpainting version of the linebrush v2-1 model to turn the more dreamy or blurry outputs from my other model (https://civitai.com/models/3164/fantasy-style) into the preview images. I used a low conditional mask strength (around 0 - 0.1) to preserve the details while keeping the denoising strength relatively high (0.75 - 1)
The base images I used for img2img with the inpainting linebrush model are here: https://imgur.com/gallery/C0EChZz. You can create an inpainting model from any 1.5 finetuned model following the resource here: https://www.reddit.com/r/StableDiffusion/comments/zcby0o/you_can_now_merge_inpainting_and_regular_models/. I also have a video about it here starting at timestamp 01:43: https://youtu.be/aNewHiib4Nk?t=103.