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:
- 4b57051c92c86f5db5fcabbc53dbaf519ea931af49ff52363941d57f96406f5e
- Size of remote file:
- 1.39 GB
- SHA256:
- 9424f5dadb272b54edc747071c704b04d016f6f68f37af16ee323c63d7e2fc4b
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