Instructions to use GraydientPlatformAPI/juggernaut9light-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/juggernaut9light-xl 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/juggernaut9light-xl", 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:
- 032cffc290f1452fc2602116a19aae1f7110e5e6d0242c7a16a27602cc4dd7a6
- Size of remote file:
- 246 MB
- SHA256:
- afabb5f64bea194eeec91e8b8fe51055dd70fc826d7c5bd78f65ae90fedd6ad9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.