Instructions to use GraydientPlatformAPI/prefect-light8step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/prefect-light8step 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/prefect-light8step", 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:
- 8384d955dd9c4cd5a004847c575b5542d7a2c1acc34f1dbba4e70c5fb106ca64
- Size of remote file:
- 246 MB
- SHA256:
- 5a860656d25bbf3e62720a2df7042fa397b2ebb87c93358b1975cc9922551368
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