Instructions to use GraydientPlatformAPI/juggernaut7-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/juggernaut7-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("GraydientPlatformAPI/juggernaut7-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:
- 3437e3ed10af5e308a1466df35202204d8baf83c7adbe8c9abd71f21f645bee4
- Size of remote file:
- 1.39 GB
- SHA256:
- 511aae59ad20d65545bb92a3d60c5b2b7e766563b153d8eb0abcb0a879d07bbc
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