Instructions to use egerdm/stable_api with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use egerdm/stable_api with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("egerdm/stable_api", 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:
- 0f6c3244e1950b73d4fb210dc6dc354ae2b83ad62c1516bb4793c39be81ba5a6
- Size of remote file:
- 492 MB
- SHA256:
- 713c6da12802b9240fad4aefbbff2bd2236683550ae57c0c5eef63e99cf5d298
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.