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:
- 93281ddb321f0a0782c9bbeb3b6cc88396783b96347904020d467328ae75afef
- Size of remote file:
- 5.14 GB
- SHA256:
- 0f403e20f785dc63ead2cb74b5e4f80c0b09f59904117c718ef80ef0cc5f70f9
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