MOSS-Image in ComfyUI: which files go where (and the two settings to change)

095), so there is no custom node pack to install and nothing to pip. MOSS Image ComfyUI workflow guide. This post is the short path. moss_image is not there, your install predates support and you should update before downloading anything.

moss_image_sft_int8_convrot.safetensors | models/diffusion_models/ | 5.41GB | SFT checkpoint — use this one to make images | moss_image_base_int8_convrot.safetensors | models/diffusion_models/ | 5.41GB | Base checkpoint — for training, not for output | qwen3.5_9b_w4a8_gptq.safetensors | models/text_encoders/ | 7.34GB | Qwen3.5 9B text encoder | flux2-vae_small.safetensors | models/vae/ | 0.25GB | FLUX.2 small VAE | Open Template, search for MOSS-Image, and pick MOSS-Image: Text to Image. Type your idea into the positive prompt and hit Queue. Open the Preview Any node. It shows the caption the model actually received.

Step 3 is the one people skip. The text-to-image template runs your prompt through a prompt upsampler that rewrites a short request into a full scene caption before sampling — it runs on the Qwen3.5 encoder the graph already loads, so there is nothing extra to download. A one-line idea works, but you are not seeing the wording that produced the image unless you look at Preview Any. This prompt is a full caption already, so the sampler sees it close to how it was written: > A wide conference banner with the title "AI 开发者大会 2026" and the subtitle "AI Developer Summit".

A clean blue and violet gradient background, abstract circuit lines, and a bottom row reading "10月28日 · 深圳 · Oct 28 · Shenzhen". When you want full control of the wording, set enable_prompt_enhancer to false on the subgraph node. Your prompt then goes to the model unchanged. The two settings to change The templates are tuned for speed, which is the right default for a first render and the wrong default for a final one.

These are OpenMOSS's own recommendations, and what the official examples use: | Setting | Template default | Official recommendation | | --- | --- | --- | | Steps | 25 | 50 or more | | CFG | 2.5 | 3 — for short prompts, 3 to 6 | | Sampler | er_sde | Euler (flow matching) | | Canvas | 1 MP | 1, 1.5 or 2 MP, sides in multiples of 16 | So: if a result looks undercooked, go to 50 steps at CFG 3 before you touch anything else. Width and height must be multiples of 16; the model is trained for 1 to 2 megapixels and extrapolates from roughly 0.25 MP (512×512) up to 4 MP. Two things you do not need to change: shift is 5 and built into the native model, and skip layer guidance is already on at layer 22, the layer OpenMOSS recommends. Turning SLG off makes images look very realistic but can collapse fine detail.

The templates also pre-fill a negative prompt — nsfw, worst quality, bad anatomy, watermark, jpeg artifact. That list is OpenMOSS's, and it is fine to leave it alone. One expectation to drop The same seed will not reproduce a Diffusers image exactly. ComfyUI's native scheduler does not use the training-grid snapping that the official Python pipeline does, so identical seed and settings give a different but equivalent image.

This is expected, not a bug, and it is worth knowing before you spend an evening bisecting a seed. Where to go next Layout control. The two layout templates add a box-drawing node where each box gets its own caption, and text boxes render their text. This is the most reliable way to put a title or a product shot exactly where you want it.

Base vs SFT. SFT for making images, Base for training. Loading Base and wondering why output is worse is a common detour. LoRA training.

KohakuMossTrainer, DiffSynth-Studio and ai-toolkit all support it. Keep the text encoder frozen, and cache the encoded captions once instead of every step. If you would rather see what the model does before installing 13 GB, the browser generator runs MOSS-Image-SFT at the official 50 steps and CFG 3. Full guide: MOSS-Image ComfyUI workflow — models, templates and settings.