Instructions to use Azily/Macro-OmniGen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Azily/Macro-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("Azily/Macro-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:
- 0aeaec9daef979c631186810e057cbed7cf49ab5a95c8da38f8d0be335f9e66c
- Size of remote file:
- 11.4 MB
- SHA256:
- 69f12bcc978e3d112e092478b218f0161ef3d4bec08792866c99d29830772f08
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