Instructions to use HakuriTada/Tousen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HakuriTada/Tousen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WhiteAiZ/Illustrious_2.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("HakuriTada/Tousen") prompt = "lazypos," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Tousen | Illustrious XL

- Prompt
- lazypos,
- Negative Prompt
- lazyneg, lazyhand, (light particles:0.4), film grain, (((joints, doll joints))), lazynsfw
Model description
Weight can be use: 0.7 ~ 0.9 Trigger word: tousen Best samplar: Euler / Euler A Steps: 20 ~ 30 CFG Scale: 3 ~ 5 Clip skip: 2
Trigger words
You should use Tousen to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for HakuriTada/Tousen
Base model
WhiteAiZ/Illustrious_2.0