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:
- 1e4b07255b3d54f7beae3850c0082cc8ba2e1e7f0b52e250119f008f3ef6285f
- Size of remote file:
- 246 MB
- SHA256:
- bfb785e8fe528582de365a33fe34806630e9b5173dbe93101b9d3f913cb72832
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