Instructions to use GDAOSU/Olbedo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GDAOSU/Olbedo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GDAOSU/Olbedo", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 0df271a verified
Update README.md 06a307a verified
Update README.md 7a22413 verified
Update README.md d7a3d68 verified
Update README.md be6dc23 verified
update license e96d0e7 verified
initial commit 0e9c1ea verified
OSUGDA commited on