Instructions to use Toraong/sabotenman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Toraong/sabotenman with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Liberata/illustrious-xl-v1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Toraong/sabotenman") prompt = "1girl, white_background," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
sabotenman

- Prompt
- 1girl, white_background,
- Negative Prompt
- bad quality, low quality, worst quality, extra digit, fewer digit, nail polish, monochrome, 3d, extra arms,
Model description
style lora
Trigger words
You should use no word to trigger the image generation.
You should use just do it to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 14
Model tree for Toraong/sabotenman
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
Liberata/illustrious-xl-v1.0