Instructions to use limiteinductive/juggernaut-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use limiteinductive/juggernaut-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("limiteinductive/juggernaut-xl", 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:
- bd0e9643b13daf16bd3ffd31858865119d636a182627c38631a21645b8cb3504
- Size of remote file:
- 335 MB
- SHA256:
- 5c68975dbfa04676645727afb7f435d8fb65bc765a765e68496ff34e9c1587fc
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