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-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use VisualInference/MOSS-Image-SFT-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download VisualInference/MOSS-Image-SFT-MLX-8bit --local-dir MOSS-Image-SFT-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Copyright 2026 Felix Brener. Licensed under the Apache License, Version 2.0.
This project is an independent MLX implementation of MOSS-Image. It is not affiliated with or endorsed by OpenMOSS.
It reproduces the inference behaviour of software and models released by others:
- MOSS-Image (model weights and pipeline_moss_image.py), Copyright OpenMOSS, Apache License 2.0.
https://github.com/OpenMOSS/MOSS-Image
- Qwen3.5-9B (the text encoder weights MOSS-Image ships), Copyright Alibaba Cloud (Qwen team), Apache License 2.0.
- FLUX.2 VAE with the FLUX.2 small decoder (the autoencoder MOSS-Image ships), Copyright Black Forest Labs,
Apache License 2.0. https://huggingface.co/black-forest-labs/FLUX.2-small-decoder
- mlx-lm (used as a dependency for the Qwen3.5 backbone), Copyright Apple Inc., MIT License.
torch_randn.py and the strip-decoding VAE are adapted from felix-ab/flux3-mlx (Apache License 2.0).
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