Instructions to use GraydientPlatformAPI/osox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/osox with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/osox", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- aee66a1a8bdaab2040315f94864bbcc5cb6d6256d13d27a0c1e6fab58896bef5
- Size of remote file:
- 5.14 GB
- SHA256:
- 0f6999044fa9c02c11ce4f05d0553e9eb62d920f3d6dbe081cf31953efc8e0d6
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