Ai Avatar Video

Routes audio plus image across five RunComfy models to make talking-head videos. The real value is classification: it picks OmniHuman for clean portrait-plus-voiceover jobs, HappyHorse when you only have a script and need in-pass audio generation, Seedance v2 Pro for cinematic multi-modal composition, and Wan 2-7 or 2-2 for scene control or stylized characters. Each route ships the documented prompting pattern and the exact runcomfy CLI invoke. Use this when you want lip-sync without manually comparing model cards, or when you're building UGC tools, dubbed demos, or virtual presenter pipelines and need the agent to handle model selection. The alternatives it targets (HeyGen, Synthesia) charge per seat; this runs on your own RunComfy credits.

skills.sh installs: 119.8K
GitHub stars: 11
last updated: Jun 3, 2026

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Install

$ npx -y skills add agentspace-so/runcomfy-agent-skills --skill ai-avatar-video --agent claude-code

Installs into .claude/skills of the current project.

Files

AI Avatar & Talking Head Video

Put words in a face. This skill routes across RunComfy's audio-driven avatar models — OmniHuman, Wan 2-7 with audio_url, HappyHorse, Seedance v2 — picking the right path for the user's intent and shipping the documented prompts + the exact runcomfy run invoke for each.

runcomfy.com · Lip-sync feature · CLI docs

Powered by the RunComfy CLI

# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli      # or:  npx -y @runcomfy/cli --version

# 2. Sign in
runcomfy login              # or in CI: export RUNCOMFY_TOKEN=<token>

# 3. Generate an avatar video
runcomfy run <vendor>/<model>/<endpoint> \
  --input '{"prompt": "...", "audio_url": "https://...", "image_url": "https://..."}' \
  --output-dir ./out

SKILL.md on GitHub

Details

Repository: github.com/agentspace-so/runcomfy-agent-skills
Category: AI & Agent Building
First seen: Jun 3, 2026