Instructions to use ModelsLab/controlnet-xl-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/controlnet-xl-pro with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ModelsLab/controlnet-xl-pro", 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

- Xet hash:
- d250fe35f28130c4636ad8ff2c9ea63902291bdb5641e7d9277ae3bc12aba455
- Size of remote file:
- 4.08 MB
- SHA256:
- a2da28443ec29f21d5c7d91c867811929e93d17d5656c875072fe075330f0bc4
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