Instructions to use shuttleai/shuttle-3-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shuttleai/shuttle-3-diffusion 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", dtype=torch.bfloat16, device_map="cuda") prompt = "Venus floating market at dawn, fantasy digital art, highly detailed, atmospheric lighting with film-like light leaks, impressive background, studio photo style, cinematic, intricate details." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fd91a20ee011afda5e20d2f01d99f2e5a131874958d869eba55036570f7370c5
- Size of remote file:
- 23.8 GB
- SHA256:
- a91b46de2055b3511ee87523b57862648856e8c00100161d5b520543a7302755
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