Instructions to use ByteDance/SDXL-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ByteDance/SDXL-Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning", 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
Download sdxl_lightning_samples.jpg from ByteDance/SDXL-Lightning: direct link, hf CLI and curl.
- Browser
- Download file 300 kB
-
https://huggingface.co/ByteDance/SDXL-Lightning/resolve/refs%2Fpr%2F39/sdxl_lightning_samples.jpg
- Command line
-
hf download hf://ByteDance/SDXL-Lightning@refs/pr/39/sdxl_lightning_samples.jpg
-
curl -L -o sdxl_lightning_samples.jpg https://huggingface.co/ByteDance/SDXL-Lightning/resolve/refs%2Fpr%2F39/sdxl_lightning_samples.jpg
300 kB
