Instructions to use GraydientPlatformAPI/divas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/divas 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/divas", 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:
- bbce730a9134eb9694595408b2f96a796e9317c3964c022f5131f58fd0d7c2ae
- Size of remote file:
- 246 MB
- SHA256:
- 6026a011a12bd563b54790638d3cd13d290b990249667e3d742c98387b44005b
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