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:
- 100d123c5660cea51e18cb9e96d7a4e4bc1e29ad3df0afdad45d10f77e7f3a52
- Size of remote file:
- 246 MB
- SHA256:
- 42fc702848e78fcdf48036d5b1a387037901572e6fa8ea2aa807396c79782135
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