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
- Draw Things
- DiffusionBee
Lora
#2
by Renderless - opened
Shuttle Jaguar is truly impressive! Does it support Loras trained using FLUX.dev as well?
Alternatively, what’s the process for training a Lora specifically for Shuttle Jaguar?
Flux Dev lora’s should work fine. If you want to train a lora for Jaguar, I would use https://huggingface.co/jimmycarter/LibreFlux-SimpleTuner then merge it with Jaguar