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:
- cd8b02232679e3d5feb884f099e0ce3802279cfb8bc4575cdc0b504b66b72dd8
- Size of remote file:
- 910 MB
- SHA256:
- f7b18e380251637e3a87510a4b20359182d43329d7a3afae5781d8c389c1c58a
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