Instructions to use shuttleai/shuttle-jaguar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shuttleai/shuttle-jaguar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shuttleai/shuttle-jaguar", 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
Download demo.png from shuttleai/shuttle-jaguar: direct link, hf CLI and curl.
- Browser
- Download file 11.8 MB
-
https://huggingface.co/shuttleai/shuttle-jaguar/resolve/main/demo.png
- Command line
-
hf download hf://shuttleai/shuttle-jaguar/demo.png
-
curl -L -o demo.png https://huggingface.co/shuttleai/shuttle-jaguar/resolve/main/demo.png
11.8 MB
- Xet hash:
- c6f23c2956bb1fcc14900240c2f0ca6dbd0442fc5edc2bb0dcc85ea83332feb2
- Size of remote file:
- 11.8 MB
- SHA256:
- 2c47a480bc762a8d86811daf878b93997910d6e121177c497888acc67186a24e
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