Instructions to use GraydientPlatformAPI/divine8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/divine8 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/divine8", 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:
- 895421f4cdbcdea6701c54eb0c6ad2c045cfa2b8043fc084909b24344828afd6
- Size of remote file:
- 246 MB
- SHA256:
- 9976d499762cd5b342bc73cf95cc3fcfa853d09b109ff83e3dd3c9a394d02088
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