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
File size: 1,243 Bytes
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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
<Gallery />
## 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](/Shero448/shenhe/tree/main) them in the Files & versions tab.
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