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:
- 25cf96dcfe314007203f3fe2c69e952ec85c2c63ae068b10fede6f4e529ed063
- Size of remote file:
- 167 MB
- SHA256:
- b3d7c48ef9d3047b5d5e52f1a9ca779feecb3017e1bacd8c3921b12d45cdd409
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