Text-to-Image
MLX
Safetensors
English
Chinese
moss_image
apple-silicon
moss-image
text-rendering
layout
quantized
8-bit precision
Instructions to use VisualInference/MOSS-Image-SFT-MLX-compact with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use VisualInference/MOSS-Image-SFT-MLX-compact with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download VisualInference/MOSS-Image-SFT-MLX-compact --local-dir MOSS-Image-SFT-MLX-compact
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download vae/decoder.safetensors from VisualInference/MOSS-Image-SFT-MLX-compact: direct link, hf CLI and curl.
- Browser
- Download file 112 MB
-
https://huggingface.co/VisualInference/MOSS-Image-SFT-MLX-compact/resolve/main/vae/decoder.safetensors
- Command line
-
hf download hf://VisualInference/MOSS-Image-SFT-MLX-compact/vae/decoder.safetensors
-
curl -L -o decoder.safetensors https://huggingface.co/VisualInference/MOSS-Image-SFT-MLX-compact/resolve/main/vae/decoder.safetensors
112 MB
- Xet hash:
- d3c23a67db8db91bd51da72e610cc4927610ec32aafac573046d05b8cad5f9d4
- Size of remote file:
- 112 MB
- SHA256:
- d6bbd213504840e9f29a280aacb42ba5bb5de9e3ec0a1ca4f7f66302e2c26ad5
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