Instructions to use GraydientPlatformAPI/ratatoskr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ratatoskr 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/ratatoskr", 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:
- 87950473472f5fc3a1c7ccbe2ed93e132b7907ea67f10a5725abccf55e7da2e8
- Size of remote file:
- 246 MB
- SHA256:
- ab6e33ca826700c4fd0d8bf4208ea17a7f13b2acdcef6082890a64d36ad54931
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