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
|
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
-
hf download hf://FiditeNemini/MossForge/README.md
-
curl -L -o README.md https://huggingface.co/FiditeNemini/MossForge/resolve/main/README.md
2.95 kB
metadata
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 (a native macOS studio for
MOSS-Image) 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 repack of OpenMOSS-Team/MOSS-Image | Apache-2.0 |
text_encoders/qwen3.5_9b_int8_convrot |
Comfy-Org/MOSS-Image (Qwen3.5-9B, int8 ConvRot) | Apache-2.0 |
text_encoders/qwen3.5-9b-tokenizer/ |
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 lora_latest.safetensors |
Apache-2.0 |
lora/lodestones/lodestones-8step-base* |
lodestones/MOSS-Image-Base-8-steps-dmd | Apache-2.0 |
lora/akhaliq/akhaliq-4step-sft |
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.