Instructions to use Vargol/sdxl-lightning-4-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vargol/sdxl-lightning-4-steps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Vargol/sdxl-lightning-4-steps", 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
This is a copy of the unet 4 step version of https://huggingface.co/ByteDance/SDXL-Lightning with the SDXL base model other bits an madebyollin's fp16 bit fixed SDXL frankensteined together
This copy has been created simply for my convience.a
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