| --- |
| license: apache-2.0 |
| base_model: OpenMOSS-Team/MOSS-Image-Base |
| base_model_relation: quantized |
| library_name: mlx |
| pipeline_tag: text-to-image |
| language: |
| - en |
| - zh |
| tags: |
| - mlx |
| - apple-silicon |
| - moss-image |
| - text-to-image |
| - text-rendering |
| - layout |
| - quantized |
| - 8-bit |
| --- |
| |
| # MOSS-Image-Base for Apple Silicon (MLX, 8bit) |
|
|
| An MLX build of [OpenMOSS-Team/MOSS-Image-Base](https://huggingface.co/OpenMOSS-Team/MOSS-Image-Base), the pre-trained (not instruction-tuned) MOSS-Image checkpoint, for Macs with Apple Silicon. It uses the same quantization recipe as the verified [SFT 8bit tier](https://huggingface.co/VisualInference/MOSS-Image-SFT-MLX-8bit) and runs with [moss-image-mlx](https://github.com/felix-ab/moss-image-mlx). |
|
|
| Base is the checkpoint OpenMOSS rendered their official sample gallery with, and the one to use for LoRA work and for reproducing those samples. For general use, the [SFT tiers](https://huggingface.co/VisualInference/MOSS-Image-SFT-MLX-8bit) give more organised compositions. |
|
|
| - **Peak memory:** ~9.3–10.2 GB for 1–1.5 MP images. |
| - **Download:** 14.1 GB. |
| - **Official seeds reproduce official samples**, below. |
|
|
| ## Official sample vs this tier, from the official seed and settings |
|
|
| | Official (OpenMOSS, CUDA, bf16) · This tier (MLX 8-bit, M4 Pro) | |
| |---| |
| |  | |
| |  | |
|
|
| | Sample | PSNR vs official | PSNR vs the port's own bf16 | Time | Peak | |
| |---|---|---|---|---| |
| | #013, 768×1360, 650-token prompt | 26.0 dB | 27.7 dB | 13.5 min | 10.2 GB | |
| | #009, 1024×1536, CFG 5 | 19.6 dB | 19.9 dB | 20.1 min | 9.3 GB | |
|
|
| With this model, bf16 rounding alone moves an image about 23 dB, so these are differences in fine detail, not composition. See [verification](https://github.com/felix-ab/moss-image-mlx#how-it-was-verified). |
|
|
| ## Quickstart |
|
|
| ```bash |
| pip install moss-image-mlx |
| moss-mlx --model VisualInference/MOSS-Image-Base-MLX-8bit --parameters parameters.json -o sample.png # an official example, exactly |
| moss-mlx "a misty harbor at dawn, tag style: best quality, highres" --model VisualInference/MOSS-Image-Base-MLX-8bit --guidance 4 -o harbor.png |
| ``` |
|
|
| **Prompting:** OpenMOSS recommends at least 50 steps (the default) and CFG 3–6 for Base, raising CFG for short prompts. |
|
|
| ## License and attribution |
|
|
| Apache-2.0, the same as the original weights. See [NOTICE](NOTICE). |
| - **MOSS-Image:** © OpenMOSS. |
| - **Text encoder:** Qwen3.5-9B (Apache-2.0). |
| - **VAE:** FLUX.2 with the FLUX.2 small decoder by Black Forest Labs (Apache-2.0). |
|
|
| This is an independent conversion, not affiliated with or endorsed by OpenMOSS. |
|
|
