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_dynamic.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_dynamic.bin
- Command line
-
hf download hf://Intel/sd-1.5-lcm-openvino/unet_dynamic.bin
-
curl -L -o unet_dynamic.bin https://huggingface.co/Intel/sd-1.5-lcm-openvino/resolve/main/unet_dynamic.bin
1.72 GB
- Xet hash:
- b9a10e49950b9f9387d747137d1a008cdcb71cfc8df5c6522a7ee107de142d80
- Size of remote file:
- 1.72 GB
- SHA256:
- c9adee82422f6a2b2b44676ec7845121a87ca088153cab778d795369f45c97cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.