Instructions to use FiditeNemini/MossForge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FiditeNemini/MossForge with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download FiditeNemini/MossForge --local-dir MossForge
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from FiditeNemini/MossForge: direct link, hf CLI and curl.
- Browser
- Download file 2.95 kB
-
https://huggingface.co/FiditeNemini/MossForge/resolve/main/README.md
- Command line
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hf download hf://FiditeNemini/MossForge/README.md
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curl -L -o README.md https://huggingface.co/FiditeNemini/MossForge/resolve/main/README.md
2.95 kB
| license: apache-2.0 | |
| tags: | |
| - moss-image | |
| - mossforge | |
| - mlx | |
| base_model: | |
| - OpenMOSS-Team/MOSS-Image-SFT | |
| - OpenMOSS-Team/MOSS-Image-Base | |
| # MossForge model bundle | |
| Everything [MossForge](https://huggingface.co/FiditeNemini) (a native macOS studio for | |
| [MOSS-Image](https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT)) needs, laid out exactly as its | |
| `models/` folder. MossForge's first-run setup reads `mossforge-manifest.json`, downloads the groups | |
| you pick into place and checks every file's SHA-256. You can add more weights and LoRAs to `models/` | |
| later, and MossForge picks them up. | |
| This is a mirror of third-party weights, not new models. Every file keeps its original licence (all Apache-2.0). | |
| | Group | Contents | Size | Default | | |
| |---|---|---|---| | |
| | `essentials` | Essentials | 15.5 GB | yes | | |
| | `sft` | MOSS-Image SFT (bf16) | 10.2 GB | optional | | |
| | `base` | MOSS-Image Base (bf16) | 10.2 GB | optional | | |
| | `turbo-4step` | Turbo LoRA for SFT (akhaliq, 4-step) | 1.2 GB | optional | | |
| | `turbo-8step` | 8-step LoRA for SFT (lodestones lora_latest) | 1.2 GB | optional | | |
| | `turbo-base` | Turbo LoRA for Base (lodestones, 8-step) | 1.2 GB | optional | | |
| ## Layout | |
| ``` | |
| models/ | |
| βββ diffusion_models/ DiTs (+ .mfmeta.json sidecars) | |
| βββ text_encoders/ qwen3.5_9b_int8_convrot.safetensors, qwen3.5-9b-tokenizer/ | |
| βββ vae/ flux2-vae.safetensors | |
| βββ lora/<author>/ LoRAs with their supporting files and sidecars | |
| ``` | |
| ## Provenance and licences | |
| | File(s) | Source | Licence | | |
| |---|---|---| | |
| | `diffusion_models/moss_image_{sft,base}_bf16` | [Comfy-Org/MOSS-Image](https://huggingface.co/Comfy-Org/MOSS-Image) repack of [OpenMOSS-Team/MOSS-Image](https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT) | Apache-2.0 | | |
| | `text_encoders/qwen3.5_9b_int8_convrot` | [Comfy-Org/MOSS-Image](https://huggingface.co/Comfy-Org/MOSS-Image) (Qwen3.5-9B, int8 ConvRot) | Apache-2.0 | | |
| | `text_encoders/qwen3.5-9b-tokenizer/` | [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) | Apache-2.0 (`LICENSE` included) | | |
| | `vae/flux2-vae` | FLUX.2 VAE (`ae.safetensors`) | Apache-2.0 | | |
| | `lora/lodestones/lodestones-8step-sft-latest` | [lodestones/MOSS-Image-SFT-8-steps-dmd](https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd) `lora_latest.safetensors` | Apache-2.0 | | |
| | `lora/lodestones/lodestones-8step-base*` | [lodestones/MOSS-Image-Base-8-steps-dmd](https://huggingface.co/lodestones/MOSS-Image-Base-8-steps-dmd) | Apache-2.0 | | |
| | `lora/akhaliq/akhaliq-4step-sft` | [akhaliq/MOSS-Image-SFT-4-steps](https://huggingface.co/akhaliq/MOSS-Image-SFT-4-steps) v2.0 | Apache-2.0 | | |
| | `diffusion_models/moss_image_sft_akhaliq-4step-sft_int8_convrot*` | Made by MossForge: the akhaliq 4-step LoRA (v2.0) fused into SFT bf16 in fp32, then int8 ConvRot; runs on stock Euler, 4 steps, CFG 1 | Apache-2.0 | | |
| MOSS-Image is by the OpenMOSS Team. This bundle is unofficial and not affiliated with or endorsed by OpenMOSS. | |