Instructions to use Bariona/fact-wam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bariona/fact-wam with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Bariona/fact-wam", 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
Add links to paper, project page, and code
#1
by nielsr HF Staff - opened
This PR adds links to the paper, project page, and GitHub repository to the model card, making it easier for users to access the original research and source code. No metadata changes are needed.
Bariona changed pull request status to merged