How generative image models work
How they produce, where they are strong and weak by style, and reproducibility.
Producing visuals and video without breaking brand consistency: prompt writing, product shots, editing, moving to video and adapting to ad formats.
The problem with AI imagery is not generating it; it is making it look like your brand. This programme is built on style consistency, reference use and adaptation to ad formats — the output is ready to run in a campaign.
How they produce, where they are strong and weak by style, and reproducibility.
Building the prompt through subject, setting, light, angle, lens and texture; using negative descriptions.
Reference images, colour and style locking, recurring characters and product consistency.
Studio, lifestyle, detail and in-use variants; deriving from a real product photograph.
Removing and adding objects, changing backgrounds, expanding the frame and upscaling.
Text-to-video and image-to-video approaches; describing motion, duration and the limits of consistency.
Generating voice-over, choosing music and matching sound to picture.
Short-form editing rhythm, subtitle placement and narration that works with sound off.
Vertical, square and landscape placements; safe zones, text ratio and platform technical rules.
Source rights, likeness, obligations to label synthetic content and internal usage rules.