Picking an AI Video Generator Comes Down to the Shot, Not the Leaderboard

An AI video generator isn't one piece of software. It's a dozen different models, each with its own personality. One holds a product's shape steady through the whole clip. Another moves a person more naturally. A third turns clips around fast and barely costs anything. The skill here isn't learning an interface, it's figuring out which model actually fits your shot.

Five questions to answer before your first generation

What goes in. Text only, or a photo? For a product, you almost always want image-to-video. The model animates your actual photo instead of drawing something that merely looks similar.

How many seconds. A single run gets you anywhere from six to fifteen seconds, depending on the model. A full minute always means stitching several clips together in an editor afterward.

Do you need sound. Some models generate audio right alongside the picture. For social clips, it's often simpler to just drop music in separately.

What resolution. 720p or 1080p, and a few models only offer the higher option on shorter clips.

How many attempts to budget. Getting to a clip you'll actually use usually takes three or four tries, sometimes more. Budget by attempts, not by scene count.

AI video generator picks by scene type

Product shots where shape matters: Kling 3.0. A teapot stays a teapot through the last frame, and on a product page that matters more than looking pretty.

A person in frame: Hailuo. Head turns and weight shifts read as natural, where other models leave you with a wooden puppet.

Sound in a single pass: Veo 3.1, Wan 2.7, or Grok Imagine. Lip-sync quality is shaky across the board for these models, so dialogue often ends up laid in separately anyway.

Complex scenes with movement and a throughline: Seedance 2.0.

Touching up footage you already shot: Runway, working in chunks of roughly five seconds per pass.

This split is rough. When a case sits in the gray zone, it's faster to just run the scene through two models than to read through comparisons.

What this tech still can't do

A sequence of actions, like picking something up, opening it, then showing it, trips most models up. They scramble the order or swap objects entirely.

Exact on-screen text comes out shaky, with letters shifting between frames.

You won't get a recognizable person on screen unless you feed the model their actual photo first.

A long talking scene doesn't hold either: lip-sync only stays convincing for a line or two.

What it actually costs

Cost depends on model, length, resolution, and whether sound is included. Count by the clip you actually keep, not by a single attempt. The full breakdown with numbers lives in a separate post.

The move that saves the most money: draft on a fast, cheap model, then finish on whichever one gives you the quality the shot needs. The gap in spend between those two approaches can run several times over.

I honestly don't know how many attempts everyone else needs. Mine take three to four. A colleague who shoots jewelry needs roughly double that, and I can't pin that entirely on the model choice.

Where to start

Grab a photo of your own product, not a stock example. Ask for minimal movement, a slow push-in or a gentle pan sideways. Watch the result paused, frame by frame, right along the product's edges.

Change one setting at a time after that, or you won't know what actually fixed it. The full workflow for pairing image and video models got its own writeup, and in Flami the models sit in one dropdown list, so comparing a few takes an evening instead of a week.

FAQ

Which AI video generator is best? Depends on the shot. Kling holds up better for products, Hailuo reads more natural for people, and Veo, Wan, or Grok cover sound in a single pass. No single model wins across every case.

How long is a generated clip? Six to fifteen seconds per run, depending on the model. Anything longer gets assembled from several clips in an editor.

Do I need a photo, or does a text description work? For a specific product, you need the photo. Describe it in text instead, and the model draws something close but not identical, something customers will notice.

Why doesn't the clip come out right on the first try? Three or four attempts is normal for this category, not a sign your prompt was off. Plan for it in the budget ahead of time.

Sources

1. Flami: how much video generation costs
2. Flami: image and video models working together
3. Flami: image-to-video, bringing a product photo to life