Instructions to use LocalMuseAI/mlx-moss-image-sft-dmd-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LocalMuseAI/mlx-moss-image-sft-dmd-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download LocalMuseAI/mlx-moss-image-sft-dmd-4bit --local-dir mlx-moss-image-sft-dmd-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from LocalMuseAI/mlx-moss-image-sft-dmd-4bit: direct link, hf CLI and curl.
- Browser
- Download file 3.7 kB
-
https://huggingface.co/LocalMuseAI/mlx-moss-image-sft-dmd-4bit/resolve/main/README.md
- Command line
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hf download hf://LocalMuseAI/mlx-moss-image-sft-dmd-4bit/README.md
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curl -L -o README.md https://huggingface.co/LocalMuseAI/mlx-moss-image-sft-dmd-4bit/resolve/main/README.md
3.7 kB
| 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`. | |