Instructions to use ekhalavyan/sdxl-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekhalavyan/sdxl-vae with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ekhalavyan/sdxl-vae", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e06ee69185545caa99b4363b69c430402ba35e263c0f63c379e1697a6939e2dc
- Size of remote file:
- 335 MB
- SHA256:
- 1857495e1d4e28140013764ffd620f6aa1fb0311dd43d7cf083f72704c69e3ee
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