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 NOTICE from VisualInference/MOSS-Image-SFT-MLX-compact: direct link, hf CLI and curl.
- Browser
- Download file 930 Bytes
-
https://huggingface.co/VisualInference/MOSS-Image-SFT-MLX-compact/resolve/main/NOTICE
- Command line
-
hf download hf://VisualInference/MOSS-Image-SFT-MLX-compact/NOTICE
-
curl -L -o NOTICE https://huggingface.co/VisualInference/MOSS-Image-SFT-MLX-compact/resolve/main/NOTICE
930 Bytes
| moss-image-mlx | |
| 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). | |