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:
- 417100b4b58cd5fa3ecf27b5dfe63f0ac281ef4bd051b2cb9e8008854d39a87a
- Size of remote file:
- 5.14 GB
- SHA256:
- 84863dc2a780bd167d5d209d42c6990fe75cdc3330779c159e13755ac451ae3a
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