Generate text-to-video with Wan 2.7 (Wan-AI's flagship motion model) on RunComfy. Documents Wan 2.7's strengths (multi-reference conditioning, audio-driven lip-sync via `audio_url`, smoother transitions, prompt expansion), the duration / resolution / aspect-ratio schema, and when to route to HappyHo

Wan 2.7 — Pro Pack on RunComfy [runcomfy.com](https://www.runcomfy.com/?utm source=skills.sh&utm medium=skill&utm campaign=wan 2 7) · [Text to video](https://www.runcomfy.com/models/wan ai/wan 2 7/text to video?utm source=skills.sh&utm medium=skill&utm campaign=wan 2 7) · [GitHub](https://github.com/agentspace so/runcomfy skills/tree/main/wan 2 7) Wan AI's Wan 2.7 — flagship video model with multi reference conditioning and audio driven lip sync — hosted on the RunComfy Model API . 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. Prerequisites 1. RunComfy CLI — npm i g @runcomfy/cli 2. RunComfy account — runcomfy login opens a browser device code flow. 3. CI / containers — set RUNCOMFY TOKEN=<token instead of runcomfy login . Endpoints + input schema wan ai/wan 2 7/text to video Field Type Required Default Notes prompt string yes — Up to ~5000 chars / ~1500 tokens. audio url string no — WAV/MP3, 3–30s, ≤15MB. Drives lip sync. Omit → background music auto generated. aspect ratio enum no 16:9 16:9 , 9:16 , 1:1 , 4:3 , 3:4 . resolution enum no 1080p 720p or 1080p . duration enum no 5 2–15 (whole seconds). negative prompt string no — Up to 500 chars. Concrete issues to avoid. enable prompt expansion bool no true Auto rewrites short prompts. Disable for literal control. seed int no — 0..2^31 1. Reuse for variants. How to invoke Default (5s 1080p 16:9, prompt expanded): Audio driven lip sync (your own track): Literal control (no auto expansion): Prompting — what actually works Camera + motion in plain English. "Slow dolly in", "locked tripod, low angle", "handheld follow", "crane move from above". Front load the shot. One primary action per clip. Don't pile up multiple competing actions. Pick the beat: "she turns, then smiles" not "she turns AND smiles AND a bus passes AND...". Use negative prompt for concrete issues. Good: "no subtitles, no watermark, no flicker". Bad (vague): "no bad lighting". Prompt expansion is on by default. Short prompts get auto rewritten by the model. For terse / literal prompts (e.g. brand strict ad copy), disable with enable prompt expansion: false . Audio specs matter. audio url must be 3–30s, ≤15MB, WAV/MP3. Out of range files reject. Match audio length to clip duration. Iterate seeds. Reuse the same seed when you want consistent output across variants of the same prompt. Change seed for genuine variety. Anti patterns: Static frame descriptions → motion will be vague. Vague negatives ("no bad colors") → ignored. Audio outside the 3–30s / 15MB / WAV MP3 spec → rejected. Prompts 5000 chars / 1500 tokens → degraded output. Where it shines Use case Why Wan 2.7 Lip synced ads with custom voiceover audio url accepts your track Multi language dub variants Same prompt, different audio url per language Multi reference motion control Up to 5 reference media (image / video / voice) Smooth transitions + motion physics Strong physics aware motion priors Negative prompted clean output Targeted issue exclusion Sample prompts (verified to produce strong results) Page example (product showcase): Lip synced spokesperson (with audio url ): Vertical platform native: Limitations Duration cap 15s. For longer narratives, stitch multiple calls. No native 4K — 1080p ceiling. Aspect ratios — only the 5 documented values. Audio specs — 3–30s, ≤15MB, WAV/MP3 only. Reference media cap 5 (image + video + voice combined). For in pass voice generation (no separate audio track), use Seedance 2.0 Pro — Wan accepts audio rather than generating it. Exit codes code meaning 0 success 64 bad CLI args 65 bad input JSON / schema mismatch 69 upstream 5xx 75 retryable: timeout / 429 77 not signed in or token rejected Full reference: [docs.runcomfy.com/cli/troubleshooting](https://docs.runcomfy.com/cli/troubleshooting?utm source=skills.sh&utm medium=skill&utm campaign=wan 2 7). How it works The skill invokes runcomfy run wan ai/wan 2 7/text to video with a JSON body matching the schema. The CLI POSTs to https://model api.runcomfy.net/v1/models/wan ai/wan 2 7/text to video , polls the request, fetches the result, and downloads any .runcomfy.net / .runcomfy.com URL into output dir . Ctrl C cancels the remote request before exit. Security & Privacy Token storage : runcomfy login writes the API token to ~/.config/runcomfy/token.json with mode 0600 (owner only read/write). Set RUNCOMFY TOKEN env var to bypass the file entirely in CI / containers. Input boundary : the user prompt is passed as a JSON string to the CLI via input . The CLI does NOT shell expand the prompt; it transmits the JSON body directly to the Model API over HTTPS. No shell injection surface from prompt content. Third party content : image / mask / video URLs you pass are fetched by the RunComfy model server, not by the CLI on your machine. Treat external URLs as untrusted; image based prompt injection is a known risk for any image edit / video edit model. Outbound endpoints : only model api.runcomfy.net (request submission) and .runcomfy.net / .runcomfy.com (download whitelist for generated outputs). No telemetry, no callbacks. Generated file size cap : the CLI aborts any single download 2 GiB to prevent disk fill from a malicious or runaway model output.

wan-2-7