linebrush-style
linebrush-style-v2-1
kasukanra
over 2 years ago
This model was originally uploaded to HuggingFace / Civitai. If it's yours, please contact us so we can transfer it to your account!
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
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
What is linebrush-style?
linebrush-style is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user kasukanra. Derived from the powerful Stable Diffusion (SD 1.5) model, linebrush-style has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that linebrush-style is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as lineart, manga, concept art.
With a rating of 0 and over 0 ratings, linebrush-style is a popular choice among users for generating high-quality images from text prompts.
Can I download linebrush-style?
Yes! You can download the latest version of linebrush-style from here.
How to use linebrush-style?
To use linebrush-style, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like linebrush-style, check out our crash course in AI image generation.
Download (1.94 GB)
Download available on desktop only
You'll need to use a program like A1111 to run this – learn how in our crash course
Popularity
820
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Info
Base model: SD 1.5
Trigger word:
Latest version (linebrush-style-v2-1): 2 Files
linebrushStyle_linebrushStyleV21.ckpt
(1.94 GB)
To download these files, please visit this page from a desktop computer.
About this version: linebrush-style-v2-1
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.
