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", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 14040c21d6d2204d19266e2a9271f3d6397b2d27a899b836e9f5814a2cdbffc7
- Size of remote file:
- 167 MB
- SHA256:
- 60f42dc8e8f922be3255336fe7958caee93dc5ef91c5ea54022a5da9643a7373
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