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:
- c1d6cc97c20ebc9b99a5e5e21dcdb98df1288d61e1c10c2c5adc24a0eefa28f0
- Size of remote file:
- 2.51 GB
- SHA256:
- 9fae2e50cb431bfcbe05822b59ec2228df545ef27f711dea8949e9f4ed9f7cdc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.