Instructions to use TheTrueGoblin/juggernautDiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheTrueGoblin/juggernautDiff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheTrueGoblin/juggernautDiff", 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:
- 623e119e19b3a50ad9bf6680dd48c2a8138276ffe7f4dfabe0cbd65167413826
- Size of remote file:
- 246 MB
- SHA256:
- 938e498b460ed1da82ccf5f04024b383fb7ecdcb86b6797e82b95797484d08fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.