MOSS-Image workflow models
This repository contains the model files needed by one ComfyUI workflow: MOSS-Image SFT (int8) with the 4-step acceleration LoRA plus two content LoRAs, sampled at 768Γ768.
The folder layout mirrors a ComfyUI models/ directory, so a download lands in the right places without rearranging anything.
Files
| Path | Size | Role |
|---|---|---|
models/diffusion_models/Moss/moss_image_sft_int8_convrot.safetensors |
5.04 GiB | Diffusion model (UNETLoader) |
models/text_encoders/qwen3.5_9b_moss_image_sft_w4a8_gptq.safetensors |
5.06 GiB | Text encoder (CLIPLoader, type moss_image) |
models/vae/flux2-vae.safetensors |
0.31 GiB | VAE |
models/loras/moss/moss_image_sft_4_steps_lora_v2_600_avg_rank_72_bf16.safetensors |
0.30 GiB | 4-step LoRA (strength 1.0) |
models/loras/moss/PenisLoraMossNoTriggerwords.safetensors |
0.08 GiB | Content LoRA (strength 0.2) |
All files are unmodified copies; see SHA256SUMS.txt for checksums and SOURCES.md for origin and licensing.
Restore
Download into the ComfyUI installation root, so the repository's models/ prefix becomes <ComfyUI>/models/:
hf download dennygod/moss-image-workflow --repo-type model --local-dir "<ComfyUI root>"
If ComfyUI reads models from another directory through extra_model_paths.yaml, download anywhere and point base_path at the downloaded models folder:
comfyui:
base_path: <path to downloaded models folder>
diffusion_models: diffusion_models/
text_encoders: text_encoders/
loras: loras/
vae: vae/
Workflow requirements
- ComfyUI build that supports the Flux2 latent (
EmptyFlux2LatentImage) and themoss_imagetext-encoder type inCLIPLoader. rgthree-comfycustom nodes forLora Loader Stack (rgthree);StringReplaceships with core.- Sampling used with this workflow: 4 steps, CFG 1.5,
euler/simple, 768Γ768, denoise 1.0.
Notes
- The repository holds no prompts, seeds, or any personal content β model files only.
- The two LoRAs are optional. Loading only the 4-step LoRA works but changes the output style.