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
Download optimizer.bin from DazMashaly/ctrlNet: direct link, hf CLI and curl.
- Browser
- Download file 725 MB
-
https://huggingface.co/DazMashaly/ctrlNet/resolve/e20daf4d01b6b0dfd9eedda048e836d6911c5444/optimizer.bin
- Command line
-
hf download hf://DazMashaly/ctrlNet@e20daf4d01b6b0dfd9eedda048e836d6911c5444/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/DazMashaly/ctrlNet/resolve/e20daf4d01b6b0dfd9eedda048e836d6911c5444/optimizer.bin
725 MB
- Xet hash:
- 08b07e8ceb2bd514677259809875e95faf9f821fa06ed4f22e2b36e1531a8299
- Size of remote file:
- 725 MB
- SHA256:
- dfc0e389f00cded216669b7aad04dee55e008882b83c7e0114fd034786154e36
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