Instructions to use shuttleai/shuttle-3-diffusion-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shuttleai/shuttle-3-diffusion-fp8 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-3-diffusion-fp8", 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:
- 8cf4e90bfc2b5dc42d3f16b06872e0fec806b9aa5556468f7317df6f0072a654
- Size of remote file:
- 11.9 GB
- SHA256:
- a5b04df4072698395387c21e8da0176d03f6557e0c38ff1dd3bf469ebab9d0fd
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