Instructions to use Shero448/zhu_yuan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/zhu_yuan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/prefect-illustrious-xl-v20p-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/zhu_yuan") prompt = "<lora:Zhu_Yuan:1> zhu yuan," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
zhu_yuan

- Prompt
- <lora:Zhu_Yuan:1> zhu yuan,
- Negative Prompt
- Base:bad quality,worst quality,worst detail,sketch,censor, patreon username, patreon logo,
Trigger words
You should use zhu_yuan to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 9
Model tree for Shero448/zhu_yuan
Base model
KBlueLeaf/kohaku-xl-beta5