Why My AI Ads Look Ultra Realistic (TUTORIAL + FREE Prompts)
This tutorial provides a practical roadmap for generating cohesive product commercials using current AI video and image tools.
What this lesson covers
Thomas Lundström demonstrates how to create a hyper-realistic AI burger commercial using image generation and video workflows. He details techniques for maintaining style consistency across shots and editing clips to matching music beats.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:36 ↗
Creating a final hero image of the product in its environment first helps establish a style reference and visual target for the entire commercial.
- 01:55 ↗
Using a previously generated frame as a style reference along with a detailed text prompt helps keep the character and visual style consistent from shot to shot.
- 03:59 ↗
When an initial AI image generation is mediocre or imperfect, using it as an image reference with adjusted prompts helps guide the tool closer to the desired result.
- 06:56 ↗
Starting the video editing process with the music track allows creators to cut visuals to the beat and combine different song segments for a polished commercial structure.
Workflow outlined in the video
- Generate a hero final shot of your product in its intended setting to serve as a style reference.
- Use previous frames as style references alongside detailed text prompts to maintain visual and character consistency.
- Iterate on imperfect generations by feeding them back into the image generator as references with targeted prompt corrections.
- Import generated clips into your video editor and align cuts to the beats of a carefully selected background music track.
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
15,128 views captured 24 October 2026. ReelStack recommendation score: 44/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 1.31× views vs 5 other channel videos observed at a similar age. View-evidence factor 94% (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: 95/100; likes + 4× comments, smoothed with a 500-view neutral prior