Instructions to use Xi8006/osu-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xi8006/osu-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Xi8006/osu-256", 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
- Xet hash:
- 50a7415d850415503c22fc1eeffc8eab1d0135978ba5d3868e8b9217e3f9d819
- Size of remote file:
- 910 MB
- SHA256:
- 32111dd77ddbc22d79166077c5b393cc41634d9dd95eca433895f0b2e5d13a8e
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