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:
- e886347e930032d028dd9832e1c9fd961f22d9917d1c79e54d8881ba7747d5c0
- Size of remote file:
- 2.15 GB
- SHA256:
- f89243e92800f8c82ad4932c374d3d264f671c49052cd67601c196671167c1fa
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