Instructions to use Shero448/kozue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/kozue 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/mocase-mix-prefectponyv2-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/kozue") prompt = "<lora:Takama_Kozue-Lover-in-Law:0.8>,kozue,1girl,long hair,red hair,brown eyes,large breasts,mature female,shirt,upper body,smile,looking at viewer,indoors" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
kozue

- Prompt
- <lora:Takama_Kozue-Lover-in-Law:0.8>,kozue,1girl,long hair,red hair,brown eyes,large breasts,mature female,shirt,upper body,smile,looking at viewer,indoors
- Negative Prompt
- 3d,censored,monochrome
Trigger words
You should use kozue to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Shero448/kozue
Base model
John6666/mocase-mix-prefectponyv2-sdxl