Agent skill

Wan Multitalk

Build WAN MultiTalk audio-driven talking-avatar / lip-sync video workflows.

MITAuto-check passedAI & LLM Engineering

Install Wan Multitalk

skills CLI

$ npx skills add artokun/comfyui-mcp --skill wan-multitalk -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp wan-multitalk --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/wan-multitalk .claude/skills/wan-multitalk && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "wan-multitalk" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-multitalk into .claude/skills/wan-multitalk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-multitalk", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-multitalk

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill wan-multitalk -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp wan-multitalk --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugin/skills/wan-multitalk .agents/skills/wan-multitalk && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "wan-multitalk" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-multitalk into .agents/skills/wan-multitalk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-multitalk", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill wan-multitalk -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp wan-multitalk --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugin/skills/wan-multitalk .cursor/skills/wan-multitalk && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "wan-multitalk" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-multitalk into .cursor/skills/wan-multitalk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-multitalk", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/artokun/comfyui-mcp.git --path plugin/skills/wan-multitalk

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill wan-multitalk -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp wan-multitalk --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugin/skills/wan-multitalk .gemini/skills/wan-multitalk && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "wan-multitalk" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-multitalk into .gemini/skills/wan-multitalk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-multitalk", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install artokun/comfyui-mcp wan-multitalk

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add artokun/comfyui-mcp --skill wan-multitalk -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugin/skills/wan-multitalk .github/skills/wan-multitalk && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "wan-multitalk" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-multitalk into .github/skills/wan-multitalk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-multitalk", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill wan-multitalk -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp wan-multitalk --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugin/skills/wan-multitalk .opencode/skills/wan-multitalk && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "wan-multitalk" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-multitalk into .opencode/skills/wan-multitalk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-multitalk", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: wan-multitalk
GitHub stars: 795
Token cost: ~1.3k tokens
SKILL.md length: 465 words
Files: 1
Skills in repo: 42
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Build WAN MultiTalk audio-driven talking-avatar / lip-sync video workflows.

Tasks that involve Diffusion and image models
SKILL.md covers Overview, Pipeline (node graph), Models and Inputs & key parameters, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Wan Multitalk is an agent skill from artokun/comfyui-mcp. Build WAN MultiTalk audio-driven talking-avatar / lip-sync video workflows. MeiGen-AI MultiTalk on WAN 2.1 14B I2V via kijai WanVideoWrapper (portrait + audio → lip-synced video)

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Diffusion and image models. The repository describes itself as: Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video & audio, authors and runs workflows, and edits your live graph in… The licence is MIT.

When your agent uses it

Tasks that involve Diffusion and image models

Example prompts

“/wan-multitalk”

What it can do on your machine

Read from SKILL.md and the folder at commit 6ad6fc0. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wan Multitalk loads about 1.3k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 465 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~48
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from artokun/comfyui-mcp at commit 6ad6fc0, republished under its MIT licence (© artokun). 465 words, ~1,275 tokens.

Download SKILL.mdSave it as .claude/skills/wan-multitalk/SKILL.md (or your agent's skills folder).

name: wan-multitalk
description: Build WAN MultiTalk audio-driven talking-avatar / lip-sync video workflows. MeiGen-AI MultiTalk on WAN 2.1 14B I2V via kijai WanVideoWrapper (portrait + audio → lip-synced video)
globs: **/*.json

WAN MultiTalk — Audio-Driven Talking Avatar

Overview

MultiTalk (MeiGen-AI) drives a still portrait's lip-sync and head motion from an audio track. It runs on WAN 2.1 14B Image-to-Video via kijai's ComfyUI-WanVideoWrapper. Wav2Vec speech embeddings condition the WAN sampler so the mouth and expression follow the speech, while the lightx2v step-distill LoRA keeps it to a few sampling steps.

Use it for talking heads, dubbing, and single-speaker avatar clips (~10s at 480p). It is distinct from wan-animate (pose/motion-driven character animation). This is audio → lip-sync, not reference-video motion transfer.

Pack: wan-multitalk (480p, ~10s). Higher-res/longer variants exist in the source bundle (720p, long-context) as VRAM/duration knobs on the same graph.

Pipeline (node graph)

LoadImage (portrait) ─┐
LoadAudio ─ AudioSeparation ─ AudioCrop ─ DownloadAndLoadWav2VecModel ─ MultiTalkWav2VecEmbeds ─┐
                                                                                                 ▼
WanVideoModelLoader (WAN 2.1 14B I2V GGUF) ─ MultiTalkModelLoader ─ WanVideoLoraSelect (lightx2v)
   + LoadWanVideoT5TextEncoder (umt5) + WanVideoTextEncode + WanVideoClipVisionEncode (clip_vision_h)
   + WanVideoVAELoader ──────────────────────────────────────────────────────────────────────────┘
                                                     ▼
                       WanVideoImageToVideoMultiTalk ─ WanVideoSampler ─ WanVideoDecode ─ VHS_VideoCombine

Key nodes (all kijai WanVideoWrapper unless noted):

DownloadAndLoadWav2VecModel. Auto-downloads the Wav2Vec speech model on first run (no manifest entry needed).
MultiTalkWav2VecEmbeds. Turns the (separated, cropped) speech into the embeddings that steer the mouth and expression.
MultiTalkModelLoader + WanVideoImageToVideoMultiTalk. The MultiTalk head on top of the WAN I2V model.
AudioSeparation and AudioCrop (audio-separation-nodes-comfyui). Isolate the voice from music/noise before embedding and trim the segment you want to animate.
ImageResizeKJv2 (KJNodes), VHS_VideoCombine (VideoHelperSuite). Resize and mux to mp4.

Models

File	Loader	Folder
`Wan2.1_14b_Image_to_Video_480p_GGUF_Q8.gguf`	WanVideoModelLoader	`diffusion_models/`
`WanVideo_2_1_Multitalk_14B_fp8_e4m3fn.safetensors`	MultiTalkModelLoader	`diffusion_models/`
`umt5_xxl_fp16.safetensors`	LoadWanVideoT5TextEncoder	`text_encoders/`
`Wan2_1_VAE_bf16.safetensors`	WanVideoVAELoader	`vae/`
`clip_vision_h.safetensors`	CLIPVisionLoader	`clip_vision/`
`Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors`	WanVideoLoraSelect	`loras/`

Sources: kijai Kijai/WanVideo_comfy, MeiGen-AI MeiGen-AI/MeiGen-MultiTalk, GGUF city96/Wan2.1-I2V-14B-480P-gguf, and Comfy-Org's repackaged UMT5. See packs/wan-multitalk/manifest.yaml (some URLs are best-effort; verify per mirror). Wav2Vec auto-downloads. The bundled WanVideoWrapper loader rejects the scaled_fp8 UMT5 checkpoint; use the UMT5 fp16 file above, not generic t5xxl_fp16 weights.

Show full SKILL.md (218 more words)Show less

Inputs & key parameters

Portrait (LoadImage): front-facing, clear face, neutral-ish expression works best. Resized by ImageResizeKJv2 to the target (480p).
Audio (LoadAudio): the speech track. AudioSeparation isolates the voice; AudioCrop selects the segment (drives clip length).
Steps: low (the lightx2v distill LoRA is why; typically ~4 to 8). Raising steps rarely helps and costs time.
BlockSwap (WanVideoBlockSwap): trade VRAM for speed. Increase blocks swapped to CPU on lower-VRAM cards.

VRAM tiers (from the source bundle's variants)

Target	Approx VRAM	Lever
480p 10s	~8–12 GB	base
480p low-VRAM	~6–8.4 GB	more BlockSwap, GGUF quant, lower quality
720p 10s	~11–16 GB	higher res

Pair with the VRAM launch-flags guidance (see troubleshooting): --use-sage-attention

appropriate --*vram mode; MultiTalk benefits from --reserve-vram headroom for the Wav2Vec + VAE round-trips.

Gotchas

Audio must be voice-isolated for good lip-sync. Skipping AudioSeparation on a music-heavy track makes the mouth chase the wrong signal.
One speaker. This graph is single-speaker; multi-speaker MultiTalk needs the multi-embed variant (not in this pack).
Wav2Vec first run downloads a model, so the first render is slower.
If lips look under-driven, check the MultiTalk embeds are actually wired into WanVideoImageToVideoMultiTalk (not bypassed), and that the audio isn't silent after AudioCrop.

Sources

Official: none found.
Empirical: sampler values, wiring, and prompt notes from working graphs in packs/ and observed renders; not a vendor prompting guide.

Files

Just SKILL.md in plugin/skills/wan-multitalk of artokun/comfyui-mcp.

Open the folder on GitHubat commit 6ad6fc0

Compare with similar skills

Wan Multitalk next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wan Multitalk compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Wan Multitalk this skillartokun/comfyui-mcp	795	—	~1.3k	Automated safety check: Pass	MIT	3 days ago
Adapt New Diffusion Modelintel/auto-round	1.6k	—	~2.8k	Automated safety check: Pass	Apache-2.0	yesterday
Add Pipelineverl-project/verl-omni	1.2k	—	~1k	Automated safety check: Pass	Apache-2.0	yesterday
Comfyui AnimatoolShiroEirin/comfyui-good-anima	478	—	~4.6k	Automated safety check: Pass	GPL-3.0	3 mo ago
Stage1 Add VaeEnd2End-Diffusion/diffusion-bench	105	—	~1.1k	Automated safety check: Pass	None	3 mo ago
Comfyui Agent Skill MieMieMieeeee/comfyui-agent-skill	116	—	~3.9k	Automated safety check: Pass	Apache-2.0	4 days ago

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Questions about Wan Multitalk

What does Wan Multitalk do?

Build WAN MultiTalk audio-driven talking-avatar / lip-sync video workflows. Wan Multitalk is an agent skill from artokun/comfyui-mcp. Build WAN MultiTalk audio-driven talking-avatar / lip-sync video workflows.

When should I use Wan Multitalk?

Wan Multitalk fits situations like: tasks that involve Diffusion and image models.

How do I install Wan Multitalk in Claude Code?

Run `npx skills add artokun/comfyui-mcp --skill wan-multitalk -a claude-code`. Or copy the skill folder (plugin/skills/wan-multitalk in artokun/comfyui-mcp) into .claude/skills/wan-multitalk in your project. Claude Code loads it when a task matches its description.

How do I install Wan Multitalk in Codex?

Run `npx skills add artokun/comfyui-mcp --skill wan-multitalk -a codex`. Or copy the skill folder (plugin/skills/wan-multitalk in artokun/comfyui-mcp) into .agents/skills/wan-multitalk in your project. Codex loads it when a task matches its description.

Can I use Wan Multitalk in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add artokun/comfyui-mcp --skill wan-multitalk -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wan-multitalk, .gemini/skills/wan-multitalk, .github/skills/wan-multitalk and .opencode/skills/wan-multitalk in your project.

What does Wan Multitalk need to run?

SKILL.md names no scripts, command-line tools or credentials: Wan Multitalk is instructions for the agent only.

Does Wan Multitalk access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Wan Multitalk safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Wan Multitalk use?

Wan Multitalk is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wan Multitalk use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wan Multitalk?

Skills that share tags, products or a category with Wan Multitalk: Adapt New Diffusion Model (intel/auto-round, 1.6k stars), Add Pipeline (verl-project/verl-omni, 1.2k stars), Comfyui Animatool (ShiroEirin/comfyui-good-anima, 478 stars) and Stage1 Add Vae (End2End-Diffusion/diffusion-bench, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wan Multitalk?

artokun (a GitHub user) maintains it in artokun/comfyui-mcp, which has 795 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on October 5, 2026.

Source: artokun/comfyui-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Wan Multitalk

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

WAN MultiTalk — Audio-Driven Talking Avatar

Overview

Pipeline (node graph)

Models

Inputs & key parameters

VRAM tiers (from the source bundle's variants)

Gotchas

Sources

Files

Compare with similar skills

Similar skills

More from artokun/comfyui-mcp

Related

Questions about Wan Multitalk