Instructions to use DazMashaly/ctrlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DazMashaly/ctrlNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DazMashaly/ctrlNet", 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
- Xet hash:
- 08b07e8ceb2bd514677259809875e95faf9f821fa06ed4f22e2b36e1531a8299
- Size of remote file:
- 725 MB
- SHA256:
- dfc0e389f00cded216669b7aad04dee55e008882b83c7e0114fd034786154e36
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