Instructions to use Ava2000/Branch_BlackRabbits_Illustrious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ava2000/Branch_BlackRabbits_Illustrious with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("calcuis/illustrious", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ava2000/Branch_BlackRabbits_Illustrious") prompt = "masterpiece, best quality, traditional media, jaggy lines, sketch," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Branch (Blackrabbit) style - Illustrious

- Prompt
- masterpiece, best quality, traditional media, jaggy lines, sketch,
- Negative Prompt
- text, long body, lowres, cropped, lowres, jpeg artifacts, (signature, artist name, watermark, username, english text, signature:1.4), simple background, conjoined, out of frame, out of frame, censored, bar censor, cameltoe,
Model description
The style of Branch.
My version of the Branch (Blackrabbits) Style trained on Pony Diffusion and Illustrious.
Illustrious V2
I remade this lora because I'm more experienced and mistakes were made with version one.
First off, for the quality tags I use the following: masterpiece, best quality, traditional media, jaggy lines, sketch, (to make it match the original art style better).
For the negatives I use the following: text, long body, lowres, cropped, lowres, jpeg artifacts, (signature, artist name, watermark, username, english text, signature:1.4), simple background, conjoined, out of frame, out of frame, censored, bar censor, (showcase images has also cameltoe, but I forgot to remove that one)
I didn't use ADetailer for this one, but can be used to up the quality.
The Trigger is: blackrabbit,
Advised strength: 0.6-1.0
Trigger words
You should use blackrabbit to trigger the image generation.
Download model
Download them in the Files & versions tab.
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