Instructions to use Intel/sd-1.5-lcm-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/sd-1.5-lcm-openvino with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Intel/sd-1.5-lcm-openvino", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download unet.bin from Intel/sd-1.5-lcm-openvino: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/Intel/sd-1.5-lcm-openvino/resolve/main/unet.bin
- Command line
-
hf download hf://Intel/sd-1.5-lcm-openvino/unet.bin
-
curl -L -o unet.bin https://huggingface.co/Intel/sd-1.5-lcm-openvino/resolve/main/unet.bin
1.72 GB
- Xet hash:
- 6924f463bb7c08a65c0698f44087ea4b41fda3323d25e709ded41e63433c9d78
- Size of remote file:
- 1.72 GB
- SHA256:
- 171804cc4bfd56650b8940ef8e7fbd0c113298ea1de17e4d329229e9d6f58543
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