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:
- ad28e8a88ea9e10eb7ff058ac350cc1f33a339b43953396ddd703c0d729bfa9e
- Size of remote file:
- 839 MB
- SHA256:
- ae5289d82dfdae592ec78545604c27e52889d90fdb4272263cc7035afe5b0b31
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