LaunchKit · 2026
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ugc-manual

Generate lip-sync video from image + user's own audio recording. ✅ USE WHEN: - User provides their OWN audio file.

2
774 downloads
by @pauldelavallaz

Setup & Installation

openclaw skills install @pauldelavallaz/ugc-manual

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install ugc-manual

Version History

v1.0.2Feb 12, 2026 - Version note by skill developer:

Auto-convert audio to WAV PCM 16-bit mono 48kHz for FabricLipsync compatibility

What This Skill Does

Generates a lip-sync video by combining a face image with a user-provided audio recording. The person in the image is animated to match the audio using ComfyDeploy's UGC-MANUAL workflow. Use this when you already have an audio file and want to preserve the exact voice and timing.

Preserves the exact voice, timing, and delivery of the user's own recording instead of replacing it with AI-generated speech.

When to use it

  • Animating a profile photo to match a recorded voice message
  • Turning a Telegram or WhatsApp voice note into a talking-head video
  • Syncing a character image to externally generated TTS audio
  • Creating a video avatar that speaks in your own voice
  • Producing lip-synced content from pre-recorded audio clips

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Create a lip-sync video from my profile photo and this MP3 voice recording

AGENT
  1. 1Accept the image file and audio file from the user
  2. 2Convert audio to WAV PCM 16-bit mono 48kHz via ffmpeg if not already in that format
  3. 3Submit the image and converted audio to ComfyDeploy's UGC-MANUAL deployment endpoint
  4. 4Poll the API for job completion
  5. 5Retrieve and return the output MP4 to the user
OUTPUT

MP4 video where the face in the image lip-syncs to the provided audio

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

ffmpeg installed on the system