Instructions to use ekhalavyan/sdxl-unet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekhalavyan/sdxl-unet with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ekhalavyan/sdxl-unet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84bfe98bc0f6d836dd18e4d6bbc7c81dcf2dd7fd61122d3d659e7ac61bc488eb
- Size of remote file:
- 10.3 GB
- SHA256:
- 0b98927b43cc771954a394ed19c08ecd3064a09e6e28b1d762270978ba6a9533
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