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:
- b7da5efcf1975d546707b78bc3f585f0efead97e1c079dd00d14092cfb7d0071
- Size of remote file:
- 3.44 GB
- SHA256:
- 4057224da5ba9249562c7f4e0d2e2b29876836f3b472d980ef095c36cdd62bc2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.