Instructions to use Shero448/kozue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/kozue 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/mocase-mix-prefectponyv2-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/kozue") prompt = "<lora:Takama_Kozue-Lover-in-Law:0.8>,kozue,1girl,long hair,red hair,brown eyes,large breasts,mature female,shirt,upper body,smile,looking at viewer,indoors" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 707 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
<lora:Takama_Kozue-Lover-in-Law:0.8>,kozue,1girl,long hair,red hair,brown
eyes,large breasts,mature female,shirt,upper body,smile,looking at
viewer,indoors
parameters:
negative_prompt: 3d,censored,monochrome
output:
url: images/20240822_131735_286841.png
base_model: John6666/mocase-mix-prefectponyv2-sdxl
instance_prompt: kozue
---
# kozue
<Gallery />
## Trigger words
You should use `kozue` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shero448/kozue/tree/main) them in the Files & versions tab.
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