Instructions to use GraydientPlatformAPI/juggernaut-hyper-x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/juggernaut-hyper-x 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/juggernaut-hyper-x", 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:
- 1f49244ec8682f17aad4dc2f4b93c48546861cdaefa5676939f866e1633c7df5
- Size of remote file:
- 5.14 GB
- SHA256:
- a913326b73c0315e3ff1fd56d1f7672058e11648af8d161a3a0550b9a428ed62
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