Instructions to use BAAI/OmniGen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BAAI/OmniGen2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BAAI/OmniGen2", 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:
- 48f8753255bc3828eba3f087dd699491a86841be1cca943335e333e76b4961d5
- Size of remote file:
- 5.68 MB
- SHA256:
- 484a5f8afffcb61533acb64cbfb9a841bc31941120887774c16f8348bbc5143d
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