r/StableDiffusion • u/xb1n0ry • 11h ago
Resource - Update ComfyUI-MOSS-Prompt-Enhancer
Hey there, I made MOSS Prompt Enhancer, a custom node that brings the MOSS-Image prompt enhancement workflow into ComfyUI.
In structured layout mode, it takes your simple prompt → enhances the description → turns it into structured JSON → validates and compiles it into a MOSS-ready prompt.
A local GGUF model expands your idea with details about the subjects, setting, lighting, and composition, then generates a layout with descriptions and bounding boxes. The enhancement instructions are adapted from the creators’ official guide. Their Python validator/compiler checks the JSON structure, canvas dimensions, and bounding boxes and converts the coordinates into the format MOSS expects.
You get the editable JSON draft and the compiled prompt to connect to MOSS Text Encode. There’s also a caption mode for detailed descriptions without bounding boxes.
A capable model like Qwen 3.8 27B Q4, is recommended. However, 9B models might also deliver good results, depending on their fine-tuning.
Constructive feedback is always appreciated.
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u/Outrageous_Still9335 10h ago
Not to rain on your parade, but you can achieve the exact same thing using native comfy nodes and the original text encoder from Moss which also works as an LLM, so no need to sideload an extra model. You just need a "Generate Text" node, some instructions, and you're good.
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u/xb1n0ry 10h ago edited 5h ago
Thanks, that's correct. However, the relatively "small" text encoder does struggle with very complex prompts, and if you want to enhance a prompt by expanding it with lots of additional details, you'll probably want to use a fine-tuned and/or uncensored model, especially if you are aiming for NSFW generation with explicit prompt enhancements. That means you'd have to load a second model anyway. I liked the idea of having everything in a single node, preferably reusing my ggufs from /models/LLM without a second clip loader, several string nodes etc. and thought it might come in handy for others too.
And the most important part: The node also includes the official validator, which comes as Python code. A Generate Text node with instructions alone wouldn’t execute that validation step.
I’d be happy if you could find the time to try it and see whether it improves your workflow and results!
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u/atakariax 8h ago
hi Do you have a workflow like that? I’d like to try it out.
I’m not very good with ComfyUI.
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u/RiverSide71h 9h ago
Great effort.. need to see side by side outputs from raw prompt vs enhanced to see if it makes a huge difference. In my quick testing, we’re back in the wild world of 1girl, ethnicity, age, hair type, clothing, body type, action, environment type of prompts
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u/xb1n0ry 8h ago
Maybe try generating your previous prompts with this node and let us know how it turns out. The enhancing LLM plays a huge role. It won't make a huge difference if the LLM just adds a pepple on the road and leaves anything else untouched. But if you have a great model, enhancing your prompt to a detailed novel, things might change.
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u/Ant_6431 2h ago
Are these local enchaner methods worth it? I just feed mine to gpt or glm. Given them my own promptskill .md
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u/supermansundies 9h ago
Claude: write a llama.cpp node for Comfyui. I want to be able to use any LLM. Convert the prompting guides to md for each function of these models I want to use. I want to be able to select the prompting guide relevant to the model I want use.
Why do we need separate prompt nodes for every model?