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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5ec4a173c3035e2a81b725e6ef7b3c9c01424cc626f198106fedf1efd1340c4d
- Size of remote file:
- 1.72 GB
- SHA256:
- 31153c303a4f642a4c7c18ee62353079bf77f136549da8eb947688ba716ec048
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