Instructions to use Shero448/motsuaki3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/motsuaki3 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/motsuaki3") prompt = "detailed background, shiny skin, posing, rating safe, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 543 Bytes
63e16fa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'detailed background, shiny skin, posing, rating safe, '
output:
url: images/00067-3413708874.png
base_model: John6666/mocase-mix-prefectponyv2-sdxl
instance_prompt: motsuaki
---
# motsuaki3
<Gallery />
## Trigger words
You should use `motsuaki` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shero448/motsuaki3/tree/main) them in the Files & versions tab.
|