Instructions to use mlx-community/MOSS-Image-Base-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/MOSS-Image-Base-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/MOSS-Image-Base-bf16 --local-dir MOSS-Image-Base-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download vae/diffusion_pytorch_model.safetensors from mlx-community/MOSS-Image-Base-bf16: direct link, hf CLI and curl.
- Browser
- Download file 250 MB
-
https://huggingface.co/mlx-community/MOSS-Image-Base-bf16/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://mlx-community/MOSS-Image-Base-bf16/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/mlx-community/MOSS-Image-Base-bf16/resolve/main/vae/diffusion_pytorch_model.safetensors
250 MB
- Xet hash:
- 75f71f35543098f09e85a9bcd6369d564e9a0c7a56ee5fa4b5221e96f85ca28b
- Size of remote file:
- 250 MB
- SHA256:
- c3bdf94dc67ec69b30ea9fe1fa8340085679cae64d019f7c7e4a9921f1a7f17a
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