Instructions to use imagepipeline/Juggernaut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use imagepipeline/Juggernaut with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("imagepipeline/Juggernaut", 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
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[](https://imagepipeline.io/models/e1590d54-0ae8-4255-92bd-13f30f5b7d75)
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[](https://imagepipeline.io/models/juggernaut?id=e1590d54-0ae8-4255-92bd-13f30f5b7d75)
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