Copy ANY Ad & Swap Products With AI | No Editing Required
This automated workflow drastically lowers the technical barrier for high-volume product ad testing, enabling filmmakers to swap product branding instantly while preserving reference shot structure.
What this lesson covers
Thomas Lundström demonstrates how to automatically replicate existing video commercials and rebrand them with new products using Higgsfield's Marketing Studio. By leveraging reference video analysis and workspace product tagging, creators can produce complete commercial spots in two clicks without writing complex prompts or editing manually.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:47 ↗
Uploading product images into Higgsfield Marketing Studio creates persistent workspace assets with auto-generated names and descriptions for back-end consistency.
- 01:12 ↗
The Add Reference feature analyzes an existing product commercial video and automatically extracts style, camera movement, and pacing into a executable prompt.
- 02:44 ↗
Swapping product visual styling (such as changing a watch color from dark to blue) preserves original shot composition and editing rhythm without manual re-prompting.
- 03:01 ↗
Single image product references may lower fidelity in ending frames compared to multi-anchor frame workflows, but achieve strong structural accuracy overall.
- 03:33 ↗
Cross-category reference swapping allows transferring the cinematic structure of a chocolate commercial directly onto liquid beverage products.
Workflow outlined in the video
- Open Higgsfield Marketing Studio and upload high-resolution product photos on a clean background to establish consistent workspace assets.
- Click 'Add Reference' and upload a target commercial video that features your desired camera movement and pacing.
- Select your stored product asset to tag it directly within the uploaded reference video workspace.
- Review the auto-generated prompt and sequence breakdown extracted from the reference video.
- Configure output settings and generate the new automated commercial asset without manual timeline editing.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
Explore the tools
How to interpret the numbers
4,671 views captured 24 October 2026. ReelStack recommendation score: 28/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 0.51× views vs 4 other channel videos observed at a similar age. View-evidence factor 82% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 100/100; likes + 4× comments, smoothed with a 500-view neutral prior