dvcrn skill-ugc-pipeline v1.2.0
Build your own MakeUGC pipeline. Direct API access — no $300/mo enterprise tier.
Default model: Aurora (fal-ai/creatify/aurora) — locked after A/B test.
Aurora produces significantly more realistic lip sync and narration vs alternatives.
What's new in v1.2.0
- B-roll splicing — Kling 2.6 Pro image-to-video generates a cinematic product shot, spliced into the avatar video at a configurable timecode
- UGC filter — grain + handheld shake applied to avatar segments ONLY; product B-roll stays clean and cinematic
- Continuous audio across splice points (no audio gap)
Architecture
product info → [GPT-4o-mini] → script
→ [ElevenLabs] → audio.mp3
avatar image + audio → [fal.ai Aurora] → avatar.mp4
product image → [Kling 2.6 Pro] → broll.mp4
avatar + broll + ugc-filter → [ffmpeg] → final.mp4
audio.mp3 → [OpenAI Whisper] → captions overlay
Full Pipeline (6 steps)
1. Script GPT-4o-mini → spoken script
2. Voice ElevenLabs → audio.mp3
3. Avatar fal-ai/creatify/aurora → talking head MP4
4. B-roll Kling 2.6 Pro image-to-video → product shot
5. Splice ffmpeg: avatar(hook) + broll + avatar(resume) + continuous audio
6. Captions Whisper word-level → overlay.py → final MP4
7. UGC filter grain + handheld shake on avatar ONLY (product shot stays clean)
Quick Start — Full Pipeline
cd skill-ugc-pipeline
npm install
# Step 1-3: Script + voice + avatar
node scripts/generate.js \
--product "Rain Cloud Humidifier" \
--product-desc "USB cool mist humidifier. 300ml tank, LED glow, silent mode." \
--avatar avatars/my_avatar.png \
--output output/ad_raincloud.mp4
# Step 4-5: Add B-roll + UGC filter
node scripts/broll.js \
--avatar-video output/ad_raincloud_aurora.mp4 \
--audio output/ad_raincloud_audio.mp3 \
--product-image https://example.com/product.jpg \
--product-name "Rain Cloud Humidifier" \
--splice-at 4.5 \
--broll-duration 5 \
--ugc-filter \
--output output/final.mp4
# Step 6: Whisper captions
node scripts/transcribe_captions.js \
--audio output/ad_raincloud_audio.mp3 \
--video output/final.mp4 \
--output output/final_captioned.mp4
Scripts
| Script | Description |
|---|---|
generate.js |
Main pipeline: script → voice → Aurora talking head |
broll.js |
B-roll splice + optional UGC filter (grain + shake on avatar) |
transcribe_captions.js |
Whisper word-level caption overlay |
aurora_only.js |
Generate Aurora talking head only (skip script/voice) |
batch.js |
Run pipeline for multiple products |
product_in_hand.js |
Generate product-in-hand composite image |
broll.js Options
| Flag | Default | Description |
|---|---|---|
--avatar-video |
required | Path to Aurora talking head MP4 |
--audio |
required | Original voiceover MP3 (plays continuously) |
--product-image |
required | URL or local path to product image |
--product-name |
required | Product name (used in Kling prompt) |
--splice-at |
4.5 |
Seconds into avatar video where B-roll inserts |
--broll-duration |
5 |
B-roll duration: 5 or 10 seconds |
--ugc-filter |
off | Add grain + handheld shake to avatar (product stays clean) |
--output |
required | Output MP4 path |
Cost Estimate
| Step | Model | Cost/video |
|---|---|---|
| Script | GPT-4o-mini | ~$0.01 |
| Voice | ElevenLabs | ~$0.05 |
| Avatar | Aurora (fal.ai) | ~$1.00 |
| B-roll | Kling 2.6 Pro (fal.ai) | ~$0.40 |
| Captions | Whisper API | ~$0.01 |
| Total | ~$1.47–1.75 |
Requirements
FAL_KEY— fal.ai API key (Aurora + Kling)ELEVENLABS_API_KEY— ElevenLabs API keyOPENAI_API_KEY— OpenAI API key (GPT-4o-mini + Whisper)ffmpeg— for video splicing and UGC filteruv— for Python caption overlay (via skill-tiktok-ads-video)
Avatar Requirements
- Portrait photo, face visible (no heavy makeup or accessories that obscure mouth)
- Resolution: 512×512 minimum, 1024×1024 recommended
- File format: PNG or JPG