Instructions to use fusing/ffhq_ncsnpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/ffhq_ncsnpp with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/ffhq_ncsnpp", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb95d6b1c856bc03d92a2aa8ede796c5d227bdec0f0d41fce45c38367fd8f98e
- Size of remote file:
- 423 MB
- SHA256:
- 5f6138f0a62dbae22e2f3d0946ef87c13b5a38031d99eac777e45a69e02afb42
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