Instructions to use stablediffusionapi/juggernaut-reborn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/juggernaut-reborn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/juggernaut-reborn", torch_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:
- 15b09b65ae50d3b4649f8b3d44203ac8d03c78e57c3e8bef23f4fa84087fdbf9
- Size of remote file:
- 246 MB
- SHA256:
- 700326e32d3f01e9ccba439b7439eb985727c81207e4eb66f5a16362c0636a7d
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