Instructions to use Shero448/shenhe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/shenhe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Niggendar/prefectPonyXL_v10", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/shenhe") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/1.png
base_model: Niggendar/prefectPonyXL_v10
instance_prompt: >-
shenhe_genshin, blue eyes, hair over one eye, very long hair, hair ornament,
braid, tassel, white hair, braided ponytail, earrings, tassel earrings
shenhe

- Prompt
- -
Trigger words
You should use shenhe_genshin to trigger the image generation.
You should use blue eyes to trigger the image generation.
You should use hair over one eye to trigger the image generation.
You should use very long hair to trigger the image generation.
You should use hair ornament to trigger the image generation.
You should use braid to trigger the image generation.
You should use tassel to trigger the image generation.
You should use white hair to trigger the image generation.
You should use braided ponytail to trigger the image generation.
You should use earrings to trigger the image generation.
You should use tassel earrings to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.