Instructions to use glides/juggernautxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glides/juggernautxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("glides/juggernautxl", 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:
- 96571446e508ccc7e89ea8d24f3b1257064c8ee95cd9864b22eaa0443bab4159
- Size of remote file:
- 1.39 GB
- SHA256:
- 8d17bcfa80130be63ab58192e900671c1c427dcd7a8985e4778092b08c56fe27
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