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Ltx Director

Community
artokun
ltx-director

Drive the LTX Director (Timeline) node. Its Add Image/Text/Audio buttons are DOM-only and cannot be clicked by an agent; edit the hidden timeline_data JSON widget instead. Load when a workflow contains LTXDirector / LTXDirectorGuide / PromptRelayEncodeTimeline, or when asked to add, move, retime, or remove timeline segments (image / text / audio / motion).

Overview

Publisherartokun
Repositorycomfyui-mcp
Skill nameltx-director
Stars
811
Forks
137
Bundled files
Instructions only
LicenseMIT
Links
  • 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 Ltx Director AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/ltx-director
  4. 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.
2

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/ltx-director .claude/skills/ltx-director
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ltx Director 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 Ltx Director 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 Ltx Director 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.

LTX Director (Timeline)

LTXDirector (pack: WhatDreamsCost-ComfyUI, category WhatDreamsCost) is a video timeline editor node. Its on-canvas UI has Add Image, Add Text and Add Audio buttons.

You cannot click those buttons. Don't try.

They are not node inputs. The pack builds them as raw DOM elements with JS handlers:

js
addTextBtn.addEventListener("click", () => this.addTextSegmentFreeSpace());

Panel/MCP tools drive the LiteGraph node model (widgets + inputs). They cannot invoke arbitrary DOM handlers, so "click Add Text" is impossible. This is a hard limitation, not flakiness. Say so plainly rather than retrying.

The real control surface: timeline_data

Everything those buttons do is serialized into ONE string widget, timeline_data. The pack's own code treats it as "the absolute source of truth". Set it and the editor renders it.

It is listed in the pack's HIDDEN_WIDGET_NAMES, so it does not appear in the node's visible widget list, but it is an ordinary input and is settable:

create_workflow(action="modify", workflow=<the graph>, operations=[
  { op: "set_input", node_id: "42",
    input_name: "timeline_data", value: "<json string>" },
])

The value is a JSON string, not an object. Empty state is "{}".

Sibling hidden widgets: local_prompts, segment_lengths, guide_strength, audio_data, use_custom_audio, inpaint_audio, use_custom_motion, override_audio.

Schema (verified against a real production workflow)

jsonc
{
  // TRACK GATES — a track's segments are IGNORED unless its gate is true.
  "mainTrackEnabled": true,
  "audioTrackEnabled": false,
  "motionTrackEnabled": false,

  // must mirror the node's start_frame / duration_frames widgets (see Edges)
  "normalStartFrame": 0,
  "normalDurationFrames": 4393,

  "global_prompt": "",
  "overrideAudio": false,
  "inpaint_audio": false,

  // retake mode
  "retakeMode": false, "retakeStart": 24, "retakeLength": 48,
  "retakePrompt": "", "retakeStrength": 1, "retakeVideo": null,
  "retake_global_prompt": "",

  // display-only
  "propHeight": 90, "globalPropHeight": 60, "showFilenames": true,

  "segments": [],        // main track: image AND text segments
  "motionSegments": [],
  "audioSegments": []
}

Text segment (segments)

json
{ "id": "seg1", "start": 0, "length": 48, "prompt": "wide shot, neon city", "type": "text" }

Image segment (segments)

json
{
  "id": "1784657553220x4fxu",
  "start": 0,
  "length": 241.68,
  "prompt": "",
  "type": "image",
  "imageFile": "whatdreamscost/Nintendo_ZeldaUrbosaHotspringKF_00002_.png",
  "imageB64": "/api/view?filename=Nintendo_ZeldaUrbosaHotspringKF_00002_.png&type=input&subfolder=whatdreamscost"
}

imageB64 is a misnomer. It holds a /api/view URL, not base64. So an image segment points at a file already in ComfyUI's input dir. Full agent-drivable recipe:

  1. upload_image (action:"image") → puts the file in the input dir (note its subfolder/name)
  2. imageFile = "<subfolder>/<name>.png"
  3. imageB64 = "/api/view?filename=<name>.png&type=input&subfolder=<subfolder>"

Audio segment (audioSegments)

json
{
  "id": "17846562234967gjvk", "type": "audio",
  "start": 0, "length": 4393, "trimStart": 0, "audioDurationFrames": 4393,
  "audioFile": "whatdreamscost/Intergalactic Hip Hop.mp3",
  "fileName": "Intergalactic Hip Hop.mp3",
  "waveformPeaks": [0.047, 0.274, 0.537, "…~200 floats…"]
}

waveformPeaks is the rendered waveform. It is cosmetic. Omit it or pass [] if you're writing a segment programmatically; the audio still plays. Don't fabricate plausible-looking peaks and imply they were measured.

Edges (get these wrong and it silently does nothing)

  1. Track gates. Pushing into audioSegments does nothing while audioTrackEnabled is false. Set the gate in the same edit. (The reference workflow ships an audio segment with the track OFF, which is easy to misread as broken.)
  2. Frame bookkeeping must agree. normalDurationFrames == duration_frames widget == segment_lengths widget (observed: all 4393), and normalStartFrame == start_frame. Change the timeline length and you must update all of them.
  3. Frames, not seconds. start / length are pixel-space frames and may be fractional (241.68). duration_seconds / frame_rate / time_units are display concerns.
  4. global_prompt exists twice, inside timeline_data and as a forceInput socket on the node. In the reference workflow the socket is wired from a PrimitiveStringMultiline; prefer the wired source and keep them consistent.
  5. guide_data must go somewhere. LTXDirector.guide_data → LTXDirectorGuide. That partner node is what injects the keyframes.
  6. Unsupported by the pack. The widget tooltip says "auto-managed; do not edit by hand". Well-formed blobs load fine; malformed JSON will break the editor. Round-trip and re-read after writing, and tell the user this is unofficial.

Reference wiring (from a working LTX 2.3 Director graph)

Power Lora Loader (rgthree) ─ model ─┐
DualCLIPLoader ──────────── clip ────┤
VAELoaderKJ ───────────── audio_vae ─┤   LTXDirector #42
PrimitiveStringMultiline ─ global_prompt ─┘
        │ model         → LTX2_NAG
        │ positive      → ConditioningZeroOut, LTXVConditioning
        │ audio_latent  → LTXVConcatAVLatent
        │ guide_data    → LTXDirectorGuide   ← required partner
        │ frame_rate    → AudioToFrameCount, VHS_VideoCombine
        └ combined_audio→ AudioToFrameCount, PreviewAudio, …

Procedure

  1. Find the node: get_workflow (action:"query") with types: ["LTXDirector"], fields: "detail" (or panel_query_graph on the live canvas).
  2. Read the current timeline_data and JSON.parse it. Never hand-splice the string.
  3. Mutate the parsed object (append a segment, flip a track gate, retime).
  4. Keep normalStartFrame / normalDurationFrames in sync with the widgets (edge 2).
  5. Write it back as a string via set_input.
  6. Re-read to confirm it round-trips, then create_workflow (action:"validate").

Related

PromptRelayEncodeTimeline (pack: ComfyUI-PromptRelay) carries the same timeline_data hidden-widget pattern, so this skill's approach applies there too.

Any node whose controls are DOM widgets over hidden state is invisible to clicking and must be driven through its state widget. LTX Director is the clearest example.

Sources

  • Official: none found.
  • Empirical: timeline_data schema and edge rules from a working LTX 2.3 Director graph.

Frequently asked questions

What does the Ltx Director AI skill do?

Drive the LTX Director (Timeline) node. Its Add Image/Text/Audio buttons are DOM-only and cannot be clicked by an agent; edit the hidden timeline_data JSON widget instead. Load when a workflow contains LTXDirector / LTXDirectorGuide / PromptRelayEncodeTimeline, or when asked to add, move, retime, or remove timeline segments (image / text / audio / motion).

Why use Ltx Director on TypingMind?

Because you install it once and use it with any model. Ltx Director 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 Ltx Director in TypingMind?

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

Which AI models can use Ltx Director?

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 Ltx Director?

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

Is the Ltx Director 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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