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Comfyui Moss Image
Build precise ComfyUI scenes with Comfyui Moss Image: JSON layout prompts, bounding boxes, Base or SFT checkpoints, and crisp on-image text.
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Why Comfyui Moss Image Fits Precision Layout Work
A 5B text-to-image model built for structured JSON prompts, dependable on-image lettering, and both anime and photoreal results.
- Structured Box ControlUse JSON prompts with bounding boxes to define where objects, scene elements, and rendered text appear on the canvas.
- Long Prompts on a Compact BackboneUp to 4K tokens are processed by a 5B model, with Base and SFT checkpoints sharing the same sampling workflow.
- Readable Text Across Visual StylesRendered lettering stays legible while the model moves between anime illustration, photography, and design-focused looks.
How to Set Up Comfyui Moss Image
Go from plugin installation to a finished layout render in three clear steps.
Comfyui Moss Image: Common Questions
Answers about setup, checkpoints, layout prompts, memory settings, and licensing for MOSS-Image in ComfyUI.
Do I need the official ComfyUI repository?
Not at the moment — search for MOSS-Image in ComfyUI Manager to install the native plugin, while official repository integration is still in progress.
How is MOSS-Image-Base different from SFT?
They share the same architecture and sampling interface; the reference example shows SFT producing tighter text grouping and a cleaner whiteboard composition.
What role do bounding boxes play in a layout prompt?
Each box specifies an element's position and size, and you can adjust text, element descriptions, and boxes to reorganize both content and composition.
What prompt length and visual styles can I use?
Prompts can reach 4K tokens, and the model supports anime and photorealistic looks across text, illustration, photography, and visual design.
Which memory mode should I pick on low VRAM?
Advanced settings include GPU resident, Component, and Sequential modes; when VRAM is limited, choose Sequential or reduce image size, and note Compile DiT is off by default and unavailable in Sequential.
Can I fine-tune the weights under Apache-2.0?
Yes — the 5B backbone can be fine-tuned for custom tasks and domains, and the model weights use Apache-2.0 licensing, while pipeline code and third-party components keep their own licenses.
Start Creating with Comfyui Moss Image
Install the plugin from ComfyUI Manager, open the example workflow, and run a JSON layout prompt using Base or SFT.
