Instructions to use GraydientPlatformAPI/uncanny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/uncanny 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/uncanny", 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:
- d8427a6beab5ee0ef65380e3bdc40718f24d811c94aadc1bdbe16e7bd62949eb
- Size of remote file:
- 1.39 GB
- SHA256:
- 1665ca428030a4262092b9a56958ec427bdf8866675bb62db2e90b02811b13a6
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