RefVid
Consistency

The same character in every video, clip after clip

To keep the same character in every AI video, fix everything that defines the person: the reference images, the outfit, the model and your framing rules. Then let only the scene change. Most drift across a batch of clips does not come from the model having a bad day. It comes from small, unnoticed changes in the inputs. This guide shows how to find those changes and remove them, so clip forty looks like clip one.

Generated with RefVid on Kling 3.0 Omni from the same four reference photos of Mia used in every clip, prompt: talking to camera in a warm podcast studio.

Why clip 1 and clip 40 stop matching

Inside one clip, a reference model holds a face reasonably well. Across many clips, small differences add up. Someone swaps one reference image for a nicer one. A later batch runs on a different model tier. Half the scenes are wide shots where the face is forty pixels tall. A prompt mentions a red scarf, and from then on the scarf is part of the character.

None of these is dramatic. Each one is enough to shift the face a little. Viewers rarely compare clips side by side, but they notice when a person feels different, especially in a series where they have seen the face many times.

The lock list: what must not change

Reference set. The same images, in the same order, for every clip. Some models treat the first image as the main view, and others address images by position, so reordering can change the result even when the files are identical.

Model and tier. Kling 3.0 Omni Standard and Pro are different tiers, and Kling 4.0 is a different model again. Each reads references a little differently. Pick one for the batch and write it down.

Resolution and aspect ratio. A face rendered at 720p in 9:16 and at 1080p in 16:9 will not match perfectly. Keep one format per series.

Outfit and hair. Treat them as part of identity. If the character needs a second outfit, build a second reference set and give it its own name, such as Mia, winter.

Character words in the prompt. Keep them out. Write the same short, scene-only style every time.

What you can safely vary

Location, time of day, action, camera movement and props. These are what make clips different, and reference models handle them well as long as the identity inputs stay fixed.

Watch three things that look like scene choices but act on identity. Strong colored light, such as neon or a deep sunset, changes skin tone and hair color. Extreme distance makes the face too small to hold. Heavy stylization, such as anime or clay, can override the references. If a scene needs one of these, expect to regenerate more often.

Framing rules that protect the face

Set a minimum face size. A practical rule: in any shot where identity matters, the face should fill at least a tenth of the frame height. Wide establishing shots are fine. Cut to a medium or close shot before the character does anything important.

Show the face early. A clip that opens with the character facing away gives the model time to invent a head before it has to match the references. Starting on a three-quarter view and then turning is safer than the reverse.

Limit fast turns and occlusions. Hands over the face, hats pulled low and quick spins are where models fill in from guesswork.

A per-clip identity check

Keep one approved hero clip as the yardstick. For each new clip, pause on the frame where the face is largest. Compare it with the hero clip on five points: face shape and jaw, eye spacing and shape, nose, hairline and parting, and one distinctive mark such as a mole or glasses.

If two or more points are off, regenerate with the same inputs. Drift between clips is often random, so a second attempt often lands. If the same point fails every time, the references are the problem. The model is never shown that feature clearly. Add or replace one image rather than adding words to the prompt.

Budget for this. Some clips will need more than one attempt, so plan your credits or spend with that in mind.

Real people and voices

If the character is a real person, get written consent for the use you plan, including ads. Some providers restrict references that show real faces, so check the terms before you build a series around one.

Voice is part of identity too. Kling 3.0 Omni can bind a voice to a character element, according to Kling's guide. Without that, keep voice work in one tool with one fixed voice.

Keeping the inputs fixed in RefVid

In RefVid, a character is an asset: 1 to 5 reference images, stored in a fixed order, with the first one as the main view. Every clip you make from it runs on Kling 3.0 Omni and is listed on that asset's page, so the per-clip check is a scroll, not a folder hunt. You can rate each video, which makes it easy to mark the hero clip. A second outfit is a second asset. RefVid generates silent clips, so voice stays in your own editing tools.

Frequently asked questions

Why does my character look different in later clips with the same prompt?
Usually because something else changed: a reference image, their order, the model tier, the format or the framing. Lock those, keep character details out of the prompt, and drift between clips drops.
Can I change the character's outfit and keep the face?
Yes. Make a new reference set with the new outfit in every image and the same face angles. Mixing outfits inside one set produces a blend.
How do I know if a clip has drifted?
Compare the largest face frame with one approved hero clip on face shape, eyes, nose, hairline and one distinctive mark. Two or more mismatches means regenerate.
How many clips can I make with one character on RefVid?
As many as your credits cover. Each second costs 42 credits, so a 5-second clip is 210. The first 50 accounts get 630 free credits, or three 5-second clips. Later accounts get 126, one 3-second clip.