ai-avatar-video
Installation
Summary
Create talking-head and avatar videos by routing audio + image across five specialized models.
- Routes across OmniHuman (audio-driven full-body avatar), Wan 2-7 with
audio_url(open-weights scene + lip-sync), HappyHorse 1.0 (in-pass audio generation from script), Wan 2-2 Animate (stylized character animation), and Seedance v2 Pro (multi-modal cinematic with reference composition) - Classifies user intent—pre-recorded audio or script-only, photoreal or stylized, single shot or cinematic—and picks the matching model with documented prompting patterns
- Each route ships the exact
runcomfy runinvoke with schema; supports common workflows like multi-language dubbing, UGC product ads, mascot animation, and chaining with image generation - Requires
runcomfyCLI installed and authenticated viaruncomfy loginorRUNCOMFY_TOKENenv var
SKILL.md
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>
Installs
172.4K
Repository
agentspace-so/runcomfy-agent-skillsGitHub Stars
19
First Seen
May 13, 2026
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