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Comfyui Moss Image
Comfyui Moss Image turns structured JSON into pixel-precise layouts — place objects with bounding boxes and get crisp, readable on-image text.
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Meet the 5B Layout Model Behind Comfyui Moss Image
A lean 5B text-to-image family that reads structured JSON for placement, draws clean lettering, and moves between anime and photographic looks.
- Structured JSON PlacementCoordinates written into a JSON prompt decide where each object, caption, and scene element sits — and how large it grows.
- Long Prompts on a Small BackboneInstructions up to 4K tokens run on a lean 5B model, while Base and SFT weights plug into the very same sampling flow.
- Legible Lettering, Two Visual MoodsCaptions stay readable as the look shifts between illustration and photography — useful for posters, comics, and product shots.
Setting Up Comfyui Moss Image in Three Moves
From a fresh install to a finished layout, three short moves cover everything.
Comfyui Moss Image: Questions Answered
Quick answers on running MOSS-Image layouts inside ComfyUI.
Do I need the official ComfyUI repository?
Not at all. You install it by looking up MOSS-Image in ComfyUI Manager; a listing in the official ComfyUI repository is still being prepared.
How does the Base checkpoint differ from SFT?
They share one architecture and the same sampling interface. In the reference run, SFT produced tighter text grouping and a cleaner whiteboard composition.
What role do bounding boxes play in a layout prompt?
Every box marks where an element sits and how much room it takes; editing the text, the element notes, or the boxes themselves reshapes both content and composition.
How long can prompts be, and which styles work?
Instructions can run up to 4K tokens, and the model covers anime and photorealistic looks across captions, illustrations, photography, and design work.
Which memory modes suit a low-VRAM GPU?
Advanced settings expose GPU resident, Component, and Sequential modes. Pick Sequential or shrink the canvas when memory is tight — and note Compile DiT ships off by default and is unavailable in Sequential.
Are the weights open for fine-tuning?
Yes. The 5B backbone can be adapted to new tasks and domains, and the weights carry an Apache-2.0 license, though pipeline code and third-party parts keep their own terms.
Start Rendering Layouts with Comfyui Moss Image
Grab the plugin from ComfyUI Manager, load the sample workflow, and fire off a JSON layout prompt on either checkpoint.