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
Download adapters.json from LocalMuseAI/mlx-moss-image-sft-dmd-4bit: direct link, hf CLI and curl.
- Browser
- Download file 2.41 kB
-
https://huggingface.co/LocalMuseAI/mlx-moss-image-sft-dmd-4bit/resolve/main/adapters.json
- Command line
-
hf download hf://LocalMuseAI/mlx-moss-image-sft-dmd-4bit/adapters.json
-
curl -L -o adapters.json https://huggingface.co/LocalMuseAI/mlx-moss-image-sft-dmd-4bit/resolve/main/adapters.json
2.41 kB
| { | |
| "description": "Adapter set of the MOSS-Image package (runtime_config version 2). Turbo LoRAs are selected by the requested step count; style LoRAs apply at every step count. All are stored unmerged as BF16 lora_down/lora_up factors on the 252 block projections and concatenated along the rank at load time.", | |
| "basePackage": { | |
| "repository": "LocalMuseAI/mlx-moss-image-sft-dmd-4bit", | |
| "revision": "204f57b31b78f7adb6492c389188e95e564d9b29", | |
| "reuse": [ | |
| "text_encoder/model.safetensors", | |
| "transformer/model.safetensors", | |
| "vae.safetensors", | |
| "tokenizer/tokenizer.json", | |
| "tokenizer/tokenizer_config.json" | |
| ], | |
| "sources": [ | |
| "OpenMOSS-Team/MOSS-Image-SFT" | |
| ] | |
| }, | |
| "adapters": [ | |
| { | |
| "output": "transformer/adapter_4step.safetensors", | |
| "name": "MOSS-Image-SFT 4-step turbo v2.0 (akhaliq)", | |
| "format": "kohya", | |
| "strength": 1.0, | |
| "maximumSteps": 4, | |
| "source": { | |
| "repository": "akhaliq/MOSS-Image-SFT-4-steps", | |
| "revision": "2ded95c37a029360245926fe72e475e30039bbfb", | |
| "file": "lora.safetensors", | |
| "sizeBytes": 1189176752, | |
| "sha256": "154c7f1455c3bf9925945c2f1ea2e4f09d0d0c67256081384a094b2b585f913f", | |
| "license": "apache-2.0" | |
| } | |
| }, | |
| { | |
| "output": "transformer/adapter_8step.safetensors", | |
| "name": "MOSS-Image-Base 8-step DMD2 (lodestones)", | |
| "format": "kohya", | |
| "strength": 1.0, | |
| "minimumSteps": 5, | |
| "source": { | |
| "repository": "lodestones/MOSS-Image-Base-8-steps-dmd", | |
| "revision": "da05cb3b52899179e2bb5f7efe1058fefcbae21b", | |
| "file": "lora_dmd2.safetensors", | |
| "sizeBytes": 1189176800, | |
| "sha256": "7683fe1fb51f73f5d690f24dd6b7f46f31ab9a9873729a854ac5c9a420ffe6f2", | |
| "license": "apache-2.0" | |
| } | |
| }, | |
| { | |
| "output": "transformer/style_ultrareal.safetensors", | |
| "name": "UltraReal MOSS v2 (vizsumit)", | |
| "format": "peft-fused-qkv", | |
| "strength": 1.0, | |
| "source": { | |
| "url": "https://civitai.com/models/2462105?modelVersionId=3416438", | |
| "file": "ultra_real_moss_v2.safetensors", | |
| "sizeBytes": 129015496, | |
| "sha256": "b7574656d90d668bde19c809812cee5f342433533173e34416f6177cd736ba4e", | |
| "license": "Civitai model license: commercial use (image, rent, sell, sell merges) and derivatives allowed; credit not required (given)" | |
| } | |
| } | |
| ] | |
| } | |