AI Avatar Video

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

CLI deep dive: `runcomfy-cli` skill.

Install this skill

npx skills add agentspace-so/runcomfy-agent-skills --skill ai-avatar-video -g

Pick the right model for the user's intent

Listed newest first. The agent classifies user intent — pre-recorded audio file or just a script? Photoreal portrait or stylized character? Single shot or cinematic composition? — and picks one route below.

OmniHuman — bytedance/omnihuman/api (default)

ByteDance audio-driven full-body avatar. Feed one portrait + one audio file, get back a video where the subject speaks / sings / gestures naturally. Listed on RunComfy's /feature/lip-sync as the curated default. Pick for: UGC voiceover, virtual presenter, dubbed product demo, multi-language clips from same portrait. Avoid for: no audio file available (need to generate speech from a script) — use HappyHorse 1.0.

HappyHorse 1.0 — happyhorse/happyhorse-1-0/text-to-video (t2v) · happyhorse/happyhorse-1-0/image-to-video (i2v)

Arena #1 t2v / i2v with in-pass audio generated from prompt. No external audio file required — quote the spoken line inside the prompt. Pick for: written script with no audio file, "write a script → get a video", concept clips, i2v talking-head from an existing portrait. Avoid for: precise lip-sync to a specific MP3 — audio is regenerated each call, not locked.

Seedance v2 Pro — bytedance/seedance-v2/pro

ByteDance multi-modal flagship — up to 9 reference images, 3 reference videos, 3 reference audio tracks composed in one pass with cinematic motion / lens / lighting control. Pick for: cinematic monologue with reference subject + reference audio + reference scene; ad creative. Avoid for: simple "portrait + audio" jobs — overpowered, slower. Use OmniHuman.

Wan 2-7 with `audio_url` — wan-ai/wan-2-7/text-to-video

Open-weights with audio_url field — prompt describes the scene, audio file drives the mouth. Pick for: full scene control (not just a portrait), specific voiceover MP3, open-weights pipeline. Avoid for: simplest portrait-talks job — use OmniHuman.

Wan 2-2 Animate — community/wan-2-2-animate/api

Community-published variant on the Wan 2-2 base. Audio-driven full-body animation of stylized characters (illustration, anime, mascot). Pick for: stylized / illustrated character + audio (not a photoreal portrait). Avoid for: photoreal subjects — use OmniHuman or Wan 2-7.

Route 1: OmniHuman — default audio-driven avatar

Model: bytedance/omnihuman/api Catalog: omnihuman · `/feature/lip-sync`

ByteDance OmniHuman is the strongest single-shot path: feed it one portrait image + one audio file, get back a video where the subject speaks / sings / gestures naturally to the audio. No prompt required beyond the inputs.

Invoke

runcomfy run bytedance/omnihuman/api \
  --input '{
    "image_url": "https://your-cdn.example/presenter.jpg",
    "audio_url": "https://your-cdn.example/voiceover.mp3"
  }' \
  --output-dir ./out

Tips

• Portrait framing works best — head-and-shoulders or upper body. Full-body still works but expects more "presenter" energy.
• Audio quality drives output quality — clean voiceover (no music bed) → cleaner mouth sync. If your audio is a mix, isolate the voice stem first.
• No prompt field — the model derives everything from image + audio. Don't fight that.
• See the full input schema on the model page.

Route 2: Wan 2-7 with audio_url — open-weights lip-sync

Model: wan-ai/wan-2-7/text-to-video Catalog: wan-2-7

When you want full control over the scene (not just a portrait) and have a specific audio track. Wan 2-7 accepts an audio_url field — the model generates the scene from prompt and locks the subject's mouth to the audio.

Invoke

runcomfy run wan-ai/wan-2-7/text-to-video \
  --input '{
    "prompt": "Studio portrait of a woman in her 30s, confident expression, soft window light, neutral gray background.",
    "audio_url": "https://your-cdn.example/voiceover.mp3",
    "duration": 8
  }' \
  --output-dir ./out

Tips

• The prompt describes the scene; the audio drives the mouth. Don't put the spoken words in the prompt — the model isn't reading them, it's syncing to the waveform.
• Match the audio's emotional tone — "confident expression" / "warmly engaged" / "deadpan delivery" cues the face.
• Camera language — "static portrait", "slow push in" — works the same as a regular Wan 2-7 t2v call.

Route 3: Wan 2-2 Animate — full-body character animation

Model: community/wan-2-2-animate/api Catalog: wan-2-2-animate · `/feature/character-swap`

Pick this when the subject is a stylized character (illustration, anime, mascot) rather than a photoreal portrait, and you want full-body motion synchronized to audio. Community-published variant on the Wan 2-2 base.

Invoke

runcomfy run community/wan-2-2-animate/api \
  --input '{
    "image_url": "https://your-cdn.example/character.png",
    "audio_url": "https://your-cdn.example/voiceover.mp3"
  }' \
  --output-dir ./out

Schema details on the model page.

Route 4: HappyHorse 1.0 — in-pass audio (no external file)

Model: happyhorse/happyhorse-1-0/text-to-video (t2v) or happyhorse/happyhorse-1-0/image-to-video (i2v) Catalog: happyhorse-1-0

Pick HappyHorse when the user doesn't have an audio file — they want a talking-head video from a written script and HappyHorse generates speech in-pass. The mouth sync is derived from the generated audio, not from an input file.

Invoke

t2v with spoken script:

runcomfy run happyhorse/happyhorse-1-0/text-to-video \
  --input '{