Instructions to use GraydientPlatformAPI/ebara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ebara 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/ebara", 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:
- 52b619599faa39703cf018e9cc01c5cdf9a1ce7ef8bed16b12122c1d2042bdff
- Size of remote file:
- 1.39 GB
- SHA256:
- 33862947d9bb162c9269699866c400e5dc78770dd0714fd5e1877c11fe4a9cba
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