This wraps Wan-AI's flagship text-to-video model through RunComfy's CLI, letting you generate 2-15 second clips at 720p or 1080p with audio-driven lip sync if you supply a track. The main draw is the audio_url parameter for syncing mouth movement to your own voiceover, plus multi-reference conditioning and solid motion physics. You get prompt expansion by default, which rewrites short prompts for better results, but you can disable it for literal control. Best for lip-synced ads or multi-language dub variants where you need the same visual with different audio. Duration caps at 15 seconds and there's no 4K, so plan to stitch longer narratives from multiple calls.
- skills.sh installs
- 176.2K
- GitHub stars
- 11
- last updated
- Jun 3, 2026
Install
$ npx -y skills add agentspace-so/runcomfy-agent-skills --skill wan-2-7 --agent claude-codeInstalls into .claude/skills of the current project.
Files
Wan 2.7 — Pro Pack on RunComfy
runcomfy.com · Text-to-video · GitHub
Wan-AI's Wan 2.7 — flagship video model with multi-reference conditioning and audio-driven lip-sync — hosted on the RunComfy Model API.
npx skills add agentspace-so/runcomfy-skills --skill wan-2-7 -g
When to pick this model (vs siblings)
| You want | Use |
|---|---|
| Lip-sync video to an audio track you supply | Wan 2.7 (audio_url) |
| Multi-reference fine motion control | Wan 2.7 |
| Smooth transitions, accurate motion physics | Wan 2.7 |
| Currently-#1 blind-vote video model | HappyHorse 1.0 |
| Multi-modal cinematic with image+video+audio refs + in-pass voice generation | Seedance 2.0 Pro |
| Cinematic motion editing on existing footage | Kling Video O1 |
| Ultra-fast iteration | LTX 2 |
If the user said "Wan" / "Wan 2.7" / "wan-ai" / "alibaba video" explicitly, route here regardless.
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- Repository
- github.com/agentspace-so/runcomfy-agent-skills
- Categories
- AI & Agent Building, Design & UI/UX, Generative Media
- First seen
- May 16, 2026
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