Instructions to use GraydientPlatformAPI/orinara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/orinara 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/orinara", 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:
- 9a17a358e2aab9f3dca21bc0ef0f58cce259acb2016bb5f40ddc65b91bd7425a
- Size of remote file:
- 246 MB
- SHA256:
- 16032c462bf7a76458b4e279ff144c0a135974dd1b75fe88c36b1b3a5e4132a0
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