Instructions to use Ava2000/Gnsisir_Illustrious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ava2000/Gnsisir_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/Gnsisir_Illustrious") prompt = "masterpiece, best quality, flat color," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Gnsisir Style - Illustrious

- Prompt
- masterpiece, best quality, flat color,
- Negative Prompt
- text, long body, lowres, cropped, lowres, jpeg artifacts, (artist name, watermark, username, english text, signature:1.5), simple background, conjoined, out of frame, out of frame, censored, bar censor,

- Prompt
- masterpiece, best quality, flat color,
- Negative Prompt
- text, long body, lowres, cropped, lowres, jpeg artifacts, (artist name, watermark, username, english text, signature:1.5), simple background, conjoined, out of frame, out of frame, censored, bar censor,
Model description
This is the style of Gnissir. A cartoon sketch style that work best with the quality tag 'flat color,'.
Trigger: gns1s1r,
Extra triggers for style: masterpiece, best quality, flat color,
Atist tags: gnsisir,
Advised strength: 0.6 - 1.0
Trigger words
You should use gns1s1r to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Ava2000/Gnsisir_Illustrious
Base model
KBlueLeaf/kohaku-xl-beta5 Quantized
calcuis/illustrious