Instructions to use GraydientPlatformAPI/lulu2light with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/lulu2light 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/lulu2light", 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:
- f322dfe6c716ff05971fcbac0347e9c0435815c817881daf1b73f13f22a170c7
- Size of remote file:
- 5.14 GB
- SHA256:
- 22d45e606456c87c0838d93fe1c0d1483a819c727e731e6d890d9f81a81a1c22
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