Instructions to use fusing/unet-ldm-dummy-spatial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/unet-ldm-dummy-spatial with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/unet-ldm-dummy-spatial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fdaf8092b682bca07f515746a62791f3e1c9951b97e3853f2e07bb3b63fa244
- Size of remote file:
- 4.04 MB
- SHA256:
- 3ee4abe926d5d6e5f0186da24220266aed54f30bdf1069dc3944f8955e09d11c
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