Instructions to use Boogu/Boogu-Image-0.1-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Boogu/Boogu-Image-0.1-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Boogu/Boogu-Image-0.1-Turbo", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
What happened to Boogu 2K model?
4
#5 opened 10 days ago
by
lvladikov
Add pipeline tag to metadata
#4 opened 21 days ago
by
nielsr
Add pipeline tag on model tag!
#2 opened about 1 month ago
by
MihaiPopa-1
I love this model, running it locally right now!
#1 opened about 2 months ago
by
itriedcoding