Lora Manager

Community

artokun

lora-manager

Author ComfyUI-LoRA-Manager nodes from the panel. Use when adding a LoRA Manager loader, stacker, prompt, or text node, or when panel_add_node refuses AUTOCOMPLETE_TEXT_LORAS / AUTOCOMPLETE_TEXT_PROMPT after waiting for a widget.

Overview

Publisher	artokun
Repository	`comfyui-mcp`
Skill name	`lora-manager`
Stars	811
Forks	137
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by artokun on GitHub. Read the source before you install it.

Installation

Install the Lora Manager AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/lora-manager
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/artokun/comfyui-mcp.git /tmp/comfyui-mcp
mkdir -p .claude/skills
cp -r /tmp/comfyui-mcp/plugin/skills/lora-manager .claude/skills/lora-manager

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lora Manager in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lora Manager on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lora Manager is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ComfyUI-LoRA-Manager

ComfyUI-LoRA-Manager (willmiao) registers Vue autocomplete widgets via getCustomWidgets(). Those widgets are healthy in the ComfyUI menu, and drag-from-palette works, but panel_add_node cannot add the nodes that require them.

The add-node guard polls app.widgets for a constructor. ComfyUI 1.49+ stores getCustomWidgets() results in the frontend widget store, not on app.widgets. The wait always expires after 5s. Reload, panel_refresh_nodes, and retry cannot clear it. That refusal is not a missing pack.

Which nodes `panel_add_node` will actually add

Works	Refuses (AUTOCOMPLETE_TEXT_*)
`LoRA Text Loader (LoraManager)`	`Lora Loader (LoraManager)`
core `LoraLoader`	`Lora Stacker (LoraManager)`
core `LoraLoaderModelOnly`	`WanVideo Lora Select (LoraManager)`
	`Text (LoraManager)`
	`Prompt (LoraManager)`

LoRA Text Loader (LoraManager) is the same backend as Lora Loader (LoraManager) (MODEL / CLIP / trigger_words / loaded_loras). The difference is the LoRA input: lora_syntax is a STRING socket (forceInput), so a regular string node or panel_set_widget can drive it.

Syntax (spaces or punctuation between entries):


<lora:lora_name:strength>
<lora:lora_name:model_strength:clip_strength>

Recipe — stack a LoRA from the panel

panel_add_node(class_type="LoRA Text Loader (LoraManager)"). Do not add Lora Loader (LoraManager); it will wait 5s and refuse.
Wire MODEL (and CLIP if you have one) through it.
Drive lora_syntax with panel_set_widget or a wired STRING, e.g. <lora:style/foo.safetensors:0.8>.
Put the node's trigger_words output into the prompt if the sidecar has any.

If LoRA Manager is not installed, use core LoraLoader and set lora_name / strength_model / strength_clip as usual.

Gotchas

The refusal names a tab reload. Do not follow that. The constructor will never appear on app.widgets.
panel_set_widget on text after a refused add never runs, because nothing was created. The working widget name is lora_syntax.
A freshly added Text Loader still needs lora_syntax written; an empty string loads no LoRA.

Sources

Official: https://github.com/willmiao/ComfyUI-Lora-Manager for node class names and the lora_syntax format from the pack; no vendor panel-authoring guide exists.
Empirical: the panel_add_node AUTOCOMPLETE_TEXT_* refusal, which nodes add cleanly, and the widget-store explanation from observed panel behavior in this repo.

Frequently asked questions

What does the Lora Manager AI skill do?

Why use Lora Manager on TypingMind?

Because you install it once and use it with any model. Lora Manager is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lora Manager in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/lora-manager. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Lora Manager?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lora Manager?

As many as you like. As long as a model supports skills, you can use Lora Manager with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lora Manager AI skill free?

Yes. It is published on GitHub by artokun under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

ComfyUI-LoRA-Manager

Which nodes panel_add_node will actually add

Recipe — stack a LoRA from the panel

Gotchas

Sources

Frequently asked questions

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Which nodes `panel_add_node` will actually add