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:
- cd4a088f6ebb32fe63c32e53291160f36c1789aab27e8c55ef5bc5c6cbe2af5d
- Size of remote file:
- 1.39 GB
- SHA256:
- 24bf4de272c6a9d47149128ce8bf55f0a586d5b2689742f5066ed8afc0ba5c67
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