MossForge / README.md
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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/
β”œβ”€β”€ diffusion_models/   DiTs (+ .mfmeta.json sidecars)
β”œβ”€β”€ text_encoders/      qwen3.5_9b_int8_convrot.safetensors, qwen3.5-9b-tokenizer/
β”œβ”€β”€ vae/                flux2-vae.safetensors
└── 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.