Instructions to use AbstractFramework/z-image-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/z-image-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir z-image-8bit AbstractFramework/z-image-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 64595d380c1e2f2f4e0d11028b4c611dd918d6a3405cc2dcc9f275d2859188dd
- Size of remote file:
- 2.13 GB
- SHA256:
- 1d6cd213b14a297a819bb40a213a89528f4606416cffea1dff2b63495619e99e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.