Instructions to use VuDucQuang/ControlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuDucQuang/ControlNet with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VuDucQuang/ControlNet", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 430c0549c8ddadb7a0d651dc94e1cd767bedaded9e4e27f6716cc0c53dd27848
- Size of remote file:
- 1.07 MB
- SHA256:
- cad49fc7d3071b2bcd078bc8dde365f8fa62eaa6d43705fd50c212794a3aac35
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