Instructions to use Shero448/kyoko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/kyoko 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-v2-cleaned-style-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/kyoko") prompt = "-" 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: '-'
output:
url: images/pixai-1829993188038662790-3.png
base_model: John6666/prefect-pony-xl-v2-cleaned-style-sdxl
instance_prompt: knukyoko, long hair, purple eyes, blue eyes, large breasts
kyoko

- Prompt
- -
Trigger words
You should use knukyoko to trigger the image generation.
You should use long hair to trigger the image generation.
You should use purple eyes to trigger the image generation.
You should use blue eyes to trigger the image generation.
You should use large breasts to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.