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
- Draw Things
- DiffusionBee
How can Shttule-3-Diffusion inference with 4steps?
#13
by hai-01250525 - opened
First of all, thank you for sharing this amazing model with us.
In the case of a general de-distiled model, 4 step interference is difficult unlike Schnell, but this amazing model can be 4 step interference.
I wonder how to train it. It would be great if you could provide some insights.
Thanks in advance.