n8n Video Workflow Debugging

We have a working n8n workflow that generates 24-second vertical marketing videos using FAL.ai, Google Gemini agents, ElevenLabs, and Cloudinary. A full technical audit has already been completed — the problems are identified and documented. We need an experienced n8n specialist with hands-on knowledge of AI video generation APIs to implement the fixes.

The audit identified the following issues:

Bridge frame captured at wrong timestamp causing repeated frames at splice points between segments
Sanitisation function corrupting the negative prompt constraints
No character anchor — character identity only carried as free text, causing drift between segments
Image-to-video model treating reference frame as starting frame instead of identity reference
3 independent audio tracks per segment causing voice inconsistency
QA gates never inspecting real prompts or real video output
No background music or CTA step in the workflow
Broken retry paths and dead logging nodes

What a good fix looks like:

Character appearance stays consistent across all 3 video segments
No freeze or repeated frames at the 8s and 16s transition points
Single consistent voice across the full 24-second video
Background music present from start to finish
CTA visible at the end of every video
Workflow runs end-to-end without manual intervention

Tech stack: n8n Cloud, FAL.ai (VEO 3.1 / WAN 2.6 / Seedance 2.0), Google Gemini, ElevenLabs, Cloudinary, Google Drive (knowledge bases)