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 images/comfyui_unet.png from ByteDance/SDXL-Lightning: direct link, hf CLI and curl.
- Browser
- Download file 246 kB
-
https://huggingface.co/ByteDance/SDXL-Lightning/resolve/d2ebdfcdaa86b2765cfd79aca4584d9d0ab0a2b5/images/comfyui_unet.png
- Command line
-
hf download hf://ByteDance/SDXL-Lightning@d2ebdfcdaa86b2765cfd79aca4584d9d0ab0a2b5/images/comfyui_unet.png
-
curl -L -o comfyui_unet.png https://huggingface.co/ByteDance/SDXL-Lightning/resolve/d2ebdfcdaa86b2765cfd79aca4584d9d0ab0a2b5/images/comfyui_unet.png
246 kB
