Instructions to use rupeshs/taesdxl-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rupeshs/taesdxl-openvino with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rupeshs/taesdxl-openvino", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vae_decoder/openvino_model.bin from rupeshs/taesdxl-openvino: direct link, hf CLI and curl.
- Browser
- Download file 2.45 MB
-
https://huggingface.co/rupeshs/taesdxl-openvino/resolve/main/vae_decoder/openvino_model.bin
- Command line
-
hf download hf://rupeshs/taesdxl-openvino/vae_decoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/rupeshs/taesdxl-openvino/resolve/main/vae_decoder/openvino_model.bin
2.45 MB
- Xet hash:
- 451677b8662d2d7f81bdf737c85dc42dce716819f8169ad8171dff6d0a6e1a1b
- Size of remote file:
- 2.45 MB
- SHA256:
- 94ec2c710bb9c5f520372d18f1c0cc0fddbc1a4de45fbc98c5c41c4ea9589bd4
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