Instructions to use Worldsphere/OMI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Worldsphere/OMI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Worldsphere/OMI", 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:
- b75c292e17c73fc3f23c30a919c288ebeee0db8279d21276c54ad84029e566fe
- Size of remote file:
- 1 kB
- SHA256:
- 355ab8372f846f2f943a669eeaee67fba5cc9aa0f014a786dc75d35937b366e0
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