---

name: ugc-manual description: | Generate lip-sync video from image + user's own audio recording.

✅ USE WHEN:

• User provides their OWN audio file (voice recording)
• Want to sync image to specific audio/voice
• User recorded the script themselves
• Need exact audio timing preserved

❌ DON'T USE WHEN:

• User provides text script (not audio) → use veed-ugc
• Need AI to generate the voice → use veed-ugc
• Don't have audio file yet → use veed-ugc with script

INPUT: Image + audio file (user's recording) OUTPUT: MP4 video with lip-sync to provided audio

KEY DIFFERENCE: veed-ugc = script → AI voice → video ugc-manual = user audio → video (no voice generation)

UGC-Manual

Generate lip-sync videos by combining an image with a custom audio file using ComfyDeploy's UGC-MANUAL workflow.

Overview

UGC-Manual takes:

1. An image (person/character with visible face)
2. An audio file (user's voice recording)

And produces a video where the person in the image lip-syncs to the audio.

API Details

Endpoint: https://api.comfydeploy.com/api/run/deployment/queue Deployment ID: 075ce7d3-81a6-4e3e-ab0e-7a25edf601b5

Required Inputs

Usage

uv run ~/.clawdbot/skills/ugc-manual/scripts/generate.py \
  --image "path/to/image.jpg" \
  --audio "path/to/audio.mp3" \
  --output "output-video.mp4"

With URLs:

uv run ~/.clawdbot/skills/ugc-manual/scripts/generate.py \
  --image "https://example.com/image.jpg" \
  --audio "https://example.com/audio.mp3" \
  --output "result.mp4"

Workflow Integration

Typical Use Cases

1. Custom voice recordings - User records their own audio via Telegram/WhatsApp
2. Pre-generated TTS - Audio generated externally (ElevenLabs, etc.)
3. Music/sound sync - Sync mouth movements to any audio

Example Pipeline

# 1. Convert Telegram voice message to MP3 (if needed)
ffmpeg -i voice.ogg -acodec libmp3lame -q:a 2 voice.mp3

# 2. Generate lip-sync video
uv run ugc-manual... --image face.jpg --audio voice.mp3 --output video.mp4

Difference from VEED-UGC

Notes

• Image should have a clearly visible face (frontal or 3/4 view)
• Audio quality affects output quality
• Processing time: ~2-5 minutes depending on audio length
• Audio auto-conversion: The script automatically converts any audio format (MP3, OGG, M4A, etc.) to WAV PCM 16-bit mono 48kHz before sending to FabricLipsync
• Requires ffmpeg installed on the system