A nine-node ComfyUI workflow for MOSS Image. No custom nodes, no LoRA, no ControlNet — it even runs on an 8 GB laptop GPU.

WHAT YOU NEED (3 files, all from the MOSS base model)

- models/diffusion_models/ -> MOSS base int8

- models/text_encoders/ -> Qwen3.5 9B int8

- models/vae/ -> flux2-vae

THE FOUR NUMBERS THAT MATTER

Steps 50 · CFG 3.0 · euler / simple · Shift 5.0

Sizes: 1024x1408 portrait · 1408x1024 landscape · 1024x1024 square.

PROMPT STYLE — Danbooru tags, comma separated

masterpiece, best quality, very aesthetic, safe, 1girl, solo, <hair/eyes/outfit>, <pose>, <camera>, <scene>, <light>

THREE THINGS THAT SURPRISE PEOPLE

- It shortens long garments — write "floor length, long skirt"

- It drops hoods — write "hood up, head covered"

- "tiny figure" can erase the subject — use "full body, medium distance"

SPEED ON 8 GB 3070TI

~150 s at 1024x1408, ~130 s at 1408x1024, ~70 s at 1536x512.

IF VAEDECODE FAILS with comfy_kitchen / group_norm_stats3d

Update the kernel library inside ComfyUI's Python (python_embeded\python.exe -m pip install -U comfy-kitchen, needs 0.2.40+) and restart.