Instructions to use lizelive/sdxl-lightning-depth-controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lizelive/sdxl-lightning-depth-controlnet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lizelive/sdxl-lightning-depth-controlnet", 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:
- 6b3319c50a774f6d87224cbba60a9db487cd26d873a7957efbc35d01ec96716f
- Size of remote file:
- 3.18 GB
- SHA256:
- 6b23a2bf1dff5007954730c68e1389f6f0598e4f75a29108d6034dda0412f559
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.