Instructions to use Pinguin/luisap-sdxl-vanellope-20mb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pinguin/luisap-sdxl-vanellope-20mb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Pinguin/luisap-sdxl-vanellope-20mb") prompt = "Vanellope" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
[LuisaP❤️]SDXL VANELLOPE [20MB]
BETTER WITH SDE 3M EXPONENTIAL
❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
Do and tips: Digital art style can do better generation than realistic.
Keyword: Vanellope
tips or requests:
https://ko-fi.com/luisapinguin
Image examples for the model:
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Model tree for Pinguin/luisap-sdxl-vanellope-20mb
Base model
stabilityai/stable-diffusion-xl-base-1.0








