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:
- 09076b5286135638fd088ec47cbe8a61babde361953344778a635d9c6bd7bb5c
- Size of remote file:
- 5.14 GB
- SHA256:
- 790c05c3a9cb5cd08e51fef1733a587895e2f78e3b836d237e2935203dc31dfe
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