---
license: apache-2.0
library_name: mlx
pipeline_tag: text-to-image
base_model:
- OpenMOSS-Team/MOSS-Image-SFT
- lodestones/MOSS-Image-Base-8-steps-dmd
- akhaliq/MOSS-Image-SFT-4-steps
tags:
- localmuse
- moss-image
- mlx
- int4
- apple-silicon
---
# MOSS-Image Turbo — MLX INT4 for LocalMuse

On-device package for the LocalMuse iOS app (profile `mossImage5B4Bit`).

- **Model:** [MOSS-Image-SFT](https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT)
  by the OpenMOSS Team, revision `fc5de0d56fc910cbca6f6625a70f5f582b26deb1`
  (Apache-2.0): 5B single-stream DiT, Qwen3.5 text encoder, FLUX.2 small decoder.
- **Adapters** (`adapters.json`), unmerged and selected by step count:
  - 4 steps: `lora.safetensors` (v2.0) from
    [akhaliq/MOSS-Image-SFT-4-steps](https://huggingface.co/akhaliq/MOSS-Image-SFT-4-steps),
    revision `2ded95c37a029360245926fe72e475e30039bbfb` (Apache-2.0), Euler-native 4-step DMD;
  - 5–8 steps: `lora_dmd2.safetensors` from
    [lodestones/MOSS-Image-Base-8-steps-dmd](https://huggingface.co/lodestones/MOSS-Image-Base-8-steps-dmd),
    revision `da05cb3b52899179e2bb5f7efe1058fefcbae21b` (Apache-2.0), data-space DMD refined with DMD2's GAN stage;
  - every step count: UltraReal MOSS v2 by vizsumit
    ([Civitai 2462105, version 3416438](https://civitai.com/models/2462105?modelVersionId=3416438)),
    a style LoRA against the smooth AI look (its license allows commercial use and derivatives).

This is a format conversion, not a new fine-tune. Every source file is
authenticated by `source.json` and `adapters.json`. Preserve LICENSE, NOTICE and the attribution.

## Contents

| File | Content |
| --- | --- |
| `text_encoder/model.safetensors` | Qwen3.5 text model (visual tower dropped), all linears and the embedding table affine INT4, group 64 |
| `transformer/model.safetensors` | MOSS-Image DiT: attention/FFN INT4 group 64; embedders, time embedding, modulation, norms and output projection BF16 |
| `transformer/adapter_4step.safetensors` | akhaliq 4-step adapter, BF16 rank-128 factors, strength 1, used at 4 steps |
| `transformer/adapter_8step.safetensors` | lodestones DMD2 adapter, BF16 rank-128 factors, strength 1, used at 5–8 steps |
| `transformer/style_ultrareal.safetensors` | UltraReal v2, BF16 rank-32 factors (fused qkv split into q/k/v; block 22, absent from the LoRA, is zero), strength 1, always used |
| `vae.safetensors` | FP32 FLUX.2 small decoder and latent BatchNorm statistics |
| `tokenizer/` | release tokenizer |
| `runtime_config.json`, `manifest.json` | runtime contract and SHA-256 manifest |

Adapters must not be merged into the weights: the distillation delta is smaller
than BF16 rounding of the merged matrices, so merging (and quantizing a merge)
loses it. LocalMuse concatenates the selected adapters along the rank and adds
`up(down(x))` after each quantized block projection (`runtime_config.json`
version 2 lists each adapter's file, rank, alpha, strength and step range).

## Inference contract

Text to Image, batch one, the release `MOSSImageScheduler` (flow-matching
Euler, shift 5, sigmas snapped to the 1000 training sigmas), **8 steps** by
default or **4 steps** for the faster adapter (5–7 use the 8-step adapter), no
classifier-free guidance and no negative prompt. Canvases:
1024 × 1024 and 896 × 1152. Prompts use the release Qwen3.5 chat template with
thinking enabled; natural language, tags and MOSS JSON layouts are accepted.

INT4 is not bit-identical to BF16: with the same seed the composition, subject
and lighting match while clothing, hair and brightness details can differ.
Conversion, independent references and measurements are in the LocalMuse
repository under `Tools/MOSSImage`.