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
- Draw Things
- DiffusionBee
512 Resolution
#13
by deleted - opened
Does this model support 512 resolution?
It's an SDXL model derivation and SDXL starts at 1024px, so I highly doubt this supports 512px.
For a 512x512 resolution, you can use SDXL-Turbo from Stability AI themselves
You can load ByteDance's recently proposed ResAdapter in SDXL-Lighting, which can use SDXL-Lighting to generate 512x512 resolution images https://github.com/bytedance/res-adapter