Instructions to use Shero448/okabe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/okabe 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-pony-xl-v1-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/okabe") prompt = "<lora:Ruiko_Okabe_-_Kyonyuu_Kazoku_Saimin:0.8>,okabe,1girl,short hair,black hair,brown eyes,breasts,mole under eye,necklace,sweater,upper body,looking at viewer,indoors,smile" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
<lora:Ruiko_Okabe_-_Kyonyuu_Kazoku_Saimin:0.8>,okabe,1girl,short
hair,black hair,brown eyes,breasts,mole under eye,necklace,sweater,upper
body,looking at viewer,indoors,smile
parameters:
negative_prompt: '3d,censored, '
output:
url: images/20240824_093020_063002.png
base_model: John6666/prefect-pony-xl-v1-sdxl
instance_prompt: ruiko
okabe

- Prompt
- <lora:Ruiko_Okabe_-_Kyonyuu_Kazoku_Saimin:0.8>,okabe,1girl,short hair,black hair,brown eyes,breasts,mole under eye,necklace,sweater,upper body,looking at viewer,indoors,smile
- Negative Prompt
- 3d,censored,
Trigger words
You should use ruiko to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.