Instructions to use GraydientPlatformAPI/CHEYENNE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/CHEYENNE 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/CHEYENNE", 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:
- cac3daf078614effeaf716e443d708edd79fa329f788a4b820ab2aca95a02e18
- Size of remote file:
- 1.39 GB
- SHA256:
- 0d8167db5a7934739c27f0ce92a9dde5e4964ac877df718173986dc4f00454dd
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