Instructions to use GraydientPlatformAPI/oceaneyes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/oceaneyes 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/oceaneyes", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 15ca1840092c3f17f259b59be912f693b39aa1e1553eeb833014435431c9ffa7
- Size of remote file:
- 246 MB
- SHA256:
- c9f5b1c360587faa9f6d6f546a4c8624a4b30f349d39b1183dbcec5c6d6dde27
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