AI photo and reels for social media
We produce brand consistent visuals for social media through a controllable generative workflow, allowing regular output, structured testing, and client input at key stages.
A steady stream of stills and short videos designed for social media. We keep the look consistent and build variations you can test.
What you get
Consistency from one campaign to the next across both stills and reels
Client control built into the process through clear approval stages
Regular output without restarting production each time
Easy A B testing across controlled campaign variants
Learnings from one round can feed directly into the next
Inputs
Product references and creative directionLook lock
We define and lock the visual languageProduction
Stills first, then matching reelsDelivery
Final selects, plus quick notes for the next cycle
How it works
Delivery every cycle
Final stills
Final reels
Variants for testing
Delivery pack ready to publish
You receive a curated set ready to publish, plus the working files in standard formats.
Architecture Test
This first set was built to test the production architecture. The aim was to validate consistency across stills and reels, controllable product placement, and the ability to structure variations for future A B testing.
Input
Production Workflow
One of our five workflows used to produce the still photos and reels.
Generative Outputs
This page shows a fast workflow test, focused on proving the production architecture rather than perfecting the props. Some choices were intentionally quick and practical, including a heroic appearance by a Tupperware container and a pink velvet jacket that clearly arrived before the stylist.
On real projects, the aesthetic is defined with the client or agency at key points in the pipeline, and can be tailored to any style, casting, and wardrobe.
Video Tests and Rushes
Video Quality Note
For speed and cost during testing, the video examples were generated on a lower tier model setting because it did not make sense to spend premium compute on a workflow test. For final delivery, we switch to the latest top tier models and export in full HD, keeping the same look and continuity as the approved stills.
Refined UGC Generation
This second set focuses on building a more realistic UGC look. More time was spent on prompting, tone, and continuity in order to produce an output closer to a finished social ad while keeping the same underlying production logic.
Input
Controlled UGC Generation
This example shows how we construct a realistic UGC aesthetic through controlled generative production.
The visual language is designed rather than improvised, allowing product placement, casting, framing, and environment to remain editable at every stage.
This enables structured A and B campaign testing while maintaining consistency across stills and video outputs.
• UGC look achieved through generative visual system design
• Product placement and framing remain adjustable post generation
• Enables scalable campaign testing without reshooting