Instructions to use GraydientPlatformAPI/ckst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ckst 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/ckst", 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:
- d22080940e75a2f9c3bb9be9a6e9ae77b9b17e8f152458dde353ffdd2a61d518
- Size of remote file:
- 246 MB
- SHA256:
- 3df3f2e1385238ffbb048a75ef96035d93c752bbb7e8a2afef8948a706069745
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