Turn Prompts or JSON Layouts into Images with MOSS-Image
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Comfyui Moss Image

Bring Comfyui Moss Image into ComfyUI and turn bounding-box JSON prompts into tidy, text-accurate layout renders with Base or SFT checkpoints.

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Why Creators Choose Comfyui Moss Image for ComfyUI Layouts

Comfyui Moss Image adds box-driven JSON composition, reliable on-image typography, and both anime and photoreal looks to your ComfyUI workflow.

  • Box-Aware JSON Composition
    Define object placement and dimensions through bounding boxes in a JSON prompt, so text and scene parts land exactly where you plan.
  • Long Prompts on a 5B Backbone
    Handle prompts up to 4K tokens on a compact 5B model, with Base and SFT checkpoints available through the same sampling setup.
  • Crisp Text Across Anime and Photoreal Looks
    Get legible typography alongside flexible anime and realistic styles, suitable for illustrations, photos, and design compositions.

Set Up Comfyui Moss Image in Three Steps

Go from installing the plugin to exporting a finished layout image in just three steps.

FAQ

Comfyui Moss Image: Common Questions

Quick answers about installing, prompting, and running MOSS-Image layouts inside ComfyUI.

1

Do I need the official ComfyUI repository?

No. You can locate the native plugin by searching MOSS-Image in ComfyUI Manager; official repository integration is still being completed.

2

How is MOSS-Image-Base different from SFT?

They use the same architecture and sampling controls; the sample shows SFT producing more coherent text grouping and a cleaner whiteboard arrangement.

3

What role do bounding boxes play in a layout prompt?

Every box defines where an element sits and how large it is; adjusting text, element notes, and boxes lets you reorganize both content and composition.

4

What prompt length and styles can I use?

You can use prompts up to 4K tokens, with anime and photoreal styles demonstrated across typography, illustration, photography, and visual design.

5

Which memory modes help with limited VRAM?

Advanced options include GPU resident, Component, and Sequential modes. If memory is low, pick Sequential or lower the image size; Compile DiT is off by default and not available in Sequential.

6

Can I fine-tune the weights under Apache-2.0?

Yes. The 5B backbone can be fine-tuned for specific tasks and domains, and the weights use Apache-2.0; pipeline code and third-party parts keep separate licenses.

Start Using Comfyui Moss Image in ComfyUI

Add the plugin through ComfyUI Manager, load the sample workflow, and render a JSON layout with Comfyui Moss Image using either Base or SFT.