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Has anyone found an AI video ad tool that can keep characters and product screens consistent across multiple clips?

I’ve been experimenting with AI-generated video ads and keep running into the same problem. Right now I’m using ElevenLabs Studio to create a short ad made up of several clips. The individual clips can look good, but the person, room, lighting, and overall…

原帖正文r/digital_marketing

I’ve been experimenting with AI-generated video ads and keep running into the same problem. Right now I’m using ElevenLabs Studio to create a short ad made up of several clips. The individual clips can look good, but the person, room, lighting, and overall style tend to shift slightly from one scene to the next. The bigger challenge has been showing my app accurately on a phone screen. The AI usually changes the interface, invents text, or makes the phone display look close—but not actually usable. I may just be approaching the workflow wrong, but I’ve burned through a lot of tokens trying to get: the same person across five or six scenes consistent clothing, lighting, and location realistic phone interactions my real app interface displayed accurately clips that actually feel like one continuous ad Has anyone found a tool or workflow that handles this well? I’m less interested in generating a flashy one-off clip and more interested in producing a coherent 20–30 second UGC-style ad where the product stays accurate throughout. I’d especially appreciate hearing what’s worked in practice, not just which tools have the best demo reels.

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u/Pete_Jones228OP

This is really helpful and honestly confirms what I was starting to suspect. I’ve been asking the AI to do too much in one step, especially rendering the actual app interface. Creating consistent reference frames first and compositing a real screen recording onto the phone sounds like the better workflow. It’s more manual than I hoped, but probably a lot less wasteful than regenerating clips until the UI happens to look right. Appreciate you sharing the process.

u/Pete_Jones228OP

This is incredibly helpful. It actually confirms what I was starting to suspect, that I’ve been asking the AI to solve two completely different problems at once. I hadn’t looked into Kling’s element references yet, so I’m definitely going to try that. And compositing the real app screen instead of having the AI recreate it makes a lot more sense than burning tokens hoping it gets the UI right. Have you found a particular editor that makes the phone screen compositing easier, or is it mostly a manual masking workflow?

u/Dense-Machine5492

I’ve been chasing this exact thing for a few months and the short answer is there’s still no clean one-tool fix. Closest I’ve gotten is using a dedicated image generator for a character sheet and reference frames, then feeding those into a video tool as keyframes. It’s clunky and you’ll still burn tokens, but it keeps the face and clothing from drifting as badly For the phone screen, I gave up on getting the AI to render my actual UI and just shoot a clean screen recording separately, then composite it in with a simple mask in post. Adds a step but the result actually looks like my app instead of some hallucinated mess

u/Harrow-Beck-6274

keeping the same person for five scenes is basically impossible anyway

u/Throwaway350750

The phone screen problem is basically unsolvable with pure generation right now, nobody's model keeps a real UI accurate. What actually works is compositing generate the person scene, then mask in your actual app recording or screenshots in post. For character consistency, tools with an elements reference system like Kling handle it better than trying re reprompt each clip. Have you tried locking a character seed and doing the phone as a separate layer? And Magnific can clean up the final composite so the screen doesn't look pasted in.

u/Previous_Bet4951

True, consistency is still a major challenge in AI video creation. A good mix of AI tools and manual editing can help achieve better results. UniConverter is also useful for polishing and managing final video files.