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:
- 578da388c35d03be9cfdf07510e58eed2733ffa8e93ff98aad68080be10b9975
- Size of remote file:
- 1.09 MB
- SHA256:
- ec2719db68c667361ff71e2a8cb2beca0d09bdbee4b6a1b489e9c92ea558f863
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