Instructions to use Shero448/saya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/saya 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/saya") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 1,069 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/Sin títulos.png
base_model: John6666/prefect-pony-xl-v1-sdxl
instance_prompt: >-
saya kawasumi, long hair, large breasts, black hair, brown eyes, ribbon, hair
ribbon, ponytail, hair bow
---
# saya
<Gallery />
## Trigger words
You should use `saya kawasumi` to trigger the image generation.
You should use `long hair` to trigger the image generation.
You should use `large breasts` to trigger the image generation.
You should use `black hair` to trigger the image generation.
You should use `brown eyes` to trigger the image generation.
You should use `ribbon` to trigger the image generation.
You should use `hair ribbon` to trigger the image generation.
You should use `ponytail` to trigger the image generation.
You should use `hair bow` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shero448/saya/tree/main) them in the Files & versions tab.
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