What problem does it solve? Creating AI-generated video with audio-driven lip-sync and multi-reference motion control requires knowing the correct model endpoint, input schema, and prompting conventions, which this Skill documents and executes via the RunComfy Model API. ## Core Features & Use Cases - Text-to-Video Generation: Calls runcomfy run wan-ai/wan-2-7/text-to-video with a documented schema covering prompt, duration (2-15s), resolution (720p/1080p), and five aspect ratios. - Audio-Driven Lip-Sync: Accepts a user-supplied audio_url (WAV/MP3, 3-30s, ≤15MB) to drive lip-sync, enabling spokesperson ads and multi-language dub variants. - Model Routing Guidance: Includes a decision table for when to use HappyHorse 1.0, Seedance 2.0 Pro, Kling Video O1, or LTX 2 instead. - Use Case: A marketer needs a 12-second vertical lip-synced spokesperson clip with their own voiceover track; the Skill builds the correct JSON input with audio_url, aspect_ratio: 9:16, and duration: 12 and runs it through the CLI. ## Quick Start Ask the AI to generate a video with Wan 2.7 from your prompt, optionally providing an audio URL for lip-sync and specifying duration, resolution, and aspect ratio.