Bulk Ad Creative at Scale with Veo 3 (Gemini API) — Colab Walkthrough + A/B Testing

Launch dozens of localized video ads from a single character image—end-to-end in Google Colab with Veo 3 (Gemini API). In this tutorial, we batch 10 culture/location-specific prompts (Marathi, Telugu, Tamil, Kannada, Gujarati, Kashmiri, Bengali, Punjabi, Malayalam, Bihari), generate full-body videos with native audio/dialogue, push everything to a simple DAM (Google Drive), and export a manifest for A/B testing.

What you’ll learn
• Identity-locked generation from one reference image (consistent character)
• Bulk video creation from a JSON prompt list
• Vertical vs. landscape exports (9:16 & 16:9) for Shorts/Reels/YouTube
• Pushing outputs to Drive (DAM) + generating a CSV manifest
• Fast vs. Quality model passes for quick A/B tests

Notebook & assets
• Colab/Repo: https://github.com/lumensparkxy/youtu...
• Sample prompts JSON & example outputs (provided in video)
• Identity image: anaya_r03.png (used across all variants)

Chapters
00:00 Hook — 10 local ads from one image
00:25 What we’re building
01:00 Colab setup (API key, SDK)
02:00 Identity image + prompts JSON
03:10 Generate 1 sample (sanity check)
04:10 Bulk generation loop
06:10 Push to Drive (DAM) + thumbnails + manifest
07:20 A/B testing (fast vs quality, 9:16 vs 16:9)
08:20 Wrap-up & next steps

Who is this for?
Performance marketers, growth teams, indie founders, and creators who need many ad variants per SKU/audience—fast.

Callouts
• Keep dialogue in quotes for clearer audio generation.
• Always reuse the same identity image + anchors for consistency.
• Respect local filming/cultural norms when recreating real locations.

CTA
If this helped, like & subscribe for more AI x marketing build tutorials. Comment which market you want next (e.g., Hindi/Urdu/Tulu/Assamese), and I’ll add new prompt packs.