The hardest part of making a story with AI video is keeping your characters the same from shot to shot. Generate five clips of “a young woman with red hair in a green coat” and you will get five different women. Viewers notice immediately. The good news is that a combination of planning and technique can make characters convincingly consistent.
Why consistency is hard
Every generation starts from fresh random noise and interprets your prompt anew. Words such as “red hair” and “green coat” describe a category, not a specific person. Unless you give the model a fixed visual reference, it invents a new face each time.
Start with a character sheet
Before generating any video, design the character as still images. A character sheet shows the same character from the front, side and three-quarter view, with a neutral expression and their standard outfit. Generate many candidates in an image tool, pick the one you like, then refine it until you have clean reference images.
Write a short, fixed character description to go with it: “Mara, 30s, shoulder-length copper-red hair, freckles, green wool coat with brass buttons, grey scarf.” Use those exact words in every prompt.
Technique 1: image-to-video from your references
The most reliable method available to everyone. For each shot, create a starting frame showing your character in the right pose and setting, using your reference sheet. Then animate it with image-to-video. Because the face and costume are fixed in the first frame, the model only has to keep them, not invent them.
To create starting frames for different scenes, use image tools that support character references or face-consistency features, or edit your reference into new backgrounds. Keep the face well lit and clearly visible in the first frame.
Technique 2: reference features in the generator
Some video tools let you upload a character or subject reference that is applied across generations. Results vary by tool, but when available, use the same reference images every time and keep your character description identical.
Technique 3: train a character LoRA
For long projects on open models, training a LoRA on your character sheet and a set of consistent images gives the strongest results. The LoRA learns the face, hair and outfit, and a trigger word brings them back in any shot. Combine it with image-to-video for maximum stability. See LoRAs for AI Video.
Only train LoRAs on original characters or on real people who have given explicit consent.
Technique 4: lock everything else
- Same model and version for the whole project.
- Same style words in every prompt: “35mm film, warm tones”.
- Same lighting phrase for each scene.
- Seeds: using the same seed does not guarantee the same face across different prompts, but keeping it fixed while making small prompt changes helps.
Wardrobe and silhouette do a lot of work
Audiences recognise characters by more than faces. A distinctive outfit, hairstyle, colour or prop makes a character identifiable even when the face varies slightly. A bright yellow raincoat, a red scarf or a particular hat is easier for the model to reproduce than subtle facial features. Design characters with one or two strong visual signatures.
Shot choices that help
- Use medium and wide shots for most of the action, where small facial differences are less visible.
- Save close-ups for key moments, and generate them from your best reference.
- Use over-the-shoulder and back views in dialogue scenes; they are easy and forgiving.
- Avoid big head turns within one clip; faces often change during rotation.
Editing tricks
Good editing hides small inconsistencies. Cut on movement, so viewers follow the action rather than studying faces. Apply the same colour grade to every shot of a character. Add consistent film grain. Use music and sound to carry continuity. And be ruthless: if one clip’s face is clearly off, regenerate it or cut it.
Multiple characters
Two consistent characters in the same shot is much harder than one. Where possible, film them in separate shots: one character per clip, cut together as a conversation. When both must share a frame, create the first frame with both characters correct using an image editor, then animate with subtle motion.
Real people
All of these techniques work on real faces too, which is exactly why consent matters. Never create consistent characters based on real people without their explicit permission, and never use them in sexual, defamatory or misleading content. Fictional characters give you complete creative freedom with none of those risks.
A short workflow summary
- Design the character as stills and build a reference sheet.
- Write a fixed character description.
- Create a starting frame for each shot.
- Animate with image-to-video, using subtle motion.
- Optionally train a LoRA for long projects.
- Edit with consistent grading and cut on movement.
Keep a continuity log
On longer projects, keep a simple continuity log: for each shot, note the character, outfit, props, lighting phrase, seed and reference image used. Film crews have script supervisors for exactly this reason. When you come back to regenerate a shot weeks later, the log tells you exactly how to match it, instead of guessing from memory.
A worked example
Suppose you are making a 60-second short about Mara, who receives a mysterious letter. You design her in an image tool and build a reference sheet. For each of the eight shots, you create a starting frame: Mara at her front door, Mara reading in the kitchen, a close-up of her face, and so on, each made from the same reference. You animate every frame with gentle motion and the same style words. In the edit, you grade all shots with the same warm look and cut on her movements. The result is a short in which Mara is clearly the same person throughout, made without any model training at all.
Frequently asked questions
Does using the same seed keep the same face?
Only when the prompt and settings are nearly identical. It is not reliable across different scenes.
What is the easiest method for beginners?
Image-to-video from a consistent set of reference images.
Can I keep a voice consistent too?
Yes, by using the same voice model or recording for every line.
