A convincing AI fight video is built from three still frames and one camera instruction, not from a single clever prompt. Most AI action clips fall apart for the same two reasons: the characters quietly change between shots, and the camera drifts through the scene like it is panning across a photograph.

 

The Dramatic Kitchen Fight Scene Video template in Picsart Flow avoids both problems by building the sequence the way a crew would, one beat at a time. It takes two character photos, generates three keyframes with Nano Banana Pro, then passes them to Seedance 2.0 with a video prompt written like direction for a handheld operator. The result is a 15-second sequence at 1080p in which two people collide in a commercial kitchen and the camera stays with them the whole way. That kitchen is only the example the workflow ships with. Every environment prompt is editable, so the same three-beat build adapts to any scene you want to stage. This guide breaks down how the structure works and how to run it on your own characters and your own location.

The three beats behind a believable fight scene

Action reads as real when a viewer can follow cause and effect. The workflow builds that logic in by generating three keyframes before any video exists. The first contains no people at all, because its prompt asks for the environment and atmosphere only. It establishes a dimly lit industrial kitchen of stainless steel counters, commercial ovens, hanging cookware and rolling shelves, with steam drifting through the room and pots boiling on the stoves.

That empty room does real work. The prompt writes the tension in before anyone appears, asking for a quiet but tense atmosphere and a room that feels strangely silent. The second keyframe is the collision, where both characters meet mid-action in that same kitchen. The third is the aftermath, and its prompt says so in five words: the fight has just ended.

Three beats is the smallest structure that still tells a story. The video prompt asks Seedance 2.0 to treat the three images as the beginning, middle and climax of one continuous action scene, which gives it something to move between rather than one image to animate. Every keyframe prompt also states where it sits in that sequence, so continuity is asserted at each stage rather than left to chance. Fight scene prompts that skip the establishing frame tend to start in the wrong place, because nothing has been set up for the action to disturb.

Locking character identity across every shot

Identity drift is the most common failure in AI action sequences. A character starts the clip in a black jacket and finishes it in a grey one, or the face rearranges itself between the first frame and the last. This workflow addresses that in the prompt text attached to both character keyframes, which Nano Banana Pro generates from your two uploads.

Both prompts carry the same identity block, word for word. They name the uploaded photos as the only identity references, require exactly two people in the scene, and list what stays fixed: facial features, hairstyle, clothing, accessories, body proportions, age and overall appearance. The clothing instruction then locks the wardrobe outright, ruling out any change, redesign, replacement, recolor, damage, removal or addition.

That last constraint sounds excessive until you watch an AI generated fight scene without it. Combat prompts invite a model to add torn fabric, scuffs and dirt as shorthand for struggle, and the outfit ends up different in every frame. The final keyframe adds one more lock the middle frame does not have, forbidding the model to add, remove or replace any character, which keeps a stray third figure out of the aftermath. Continuity matters more to a viewer than any single dramatic detail.

Run the kitchen fight template in Flow

  1. Open the kitchen fight scene template and clone it into the Flow editor.
  2. Replace both character reference images with your own photos. Use clear, well-lit shots where the face and the clothing are easy to read.
  3. Read through the three keyframe prompts. Leave the identity and wardrobe locks alone, and edit only the environment wording if you want a different room.
  4. Run the workflow and let all three keyframes generate before you look at the video.
  5. Check the keyframes first. Regenerate any beat that lost a face or changed an outfit.
  6. Watch the 15-second video, adjust the weakest beat, then run it again.
  7. Export the finished clip. Exporting usually requires signing in.

Direct the camera, not just the action

The video prompt handed to Seedance 2.0 is written as camera direction, and that is what separates the output from a slideshow. It leads with what the camera must not do, stating plainly that it should never feel like it is animating still images. Only then does it say what the camera is: a handheld action cinematographer capturing real events as they naturally unfold.

The specific moves are spelled out. The camera tracks beside the characters, squeezes between the stainless steel counters, circles the action, and reacts to every movement so the audience feels physically present in the room. Each one is a physical instruction a real operator could follow, which is why they translate into motion so well.

Compare that with the language most people reach for. Words like cinematic and epic describe a mood but give a model no path through the space. Naming the move, the distance and what the camera reacts to is what gives a cinematic fight scene its momentum. The prompt also asks for escalation, realistic choreography and authentic body weight, so the action builds instead of repeating itself.

Fight scene setups beyond the kitchen

The kitchen is the example, not the mechanism. The three-beat structure works in any space with obstacles worth moving through, and adapting the workflow to a new scene means rewriting the environment wording in the keyframe prompts while leaving the identity locks untouched.

A rain-slick loading dock gives the camera reflections and puddles. A narrow stairwell pushes the action vertical and keeps both characters in frame. A parking garage offers pillars to squeeze past, a workshop fills the space with benches and hanging tools, and a night market adds crowds, color and noise. Strong action movie prompts favor locations with clutter at chest height, because that clutter is what the handheld camera moves around.

Tips for better AI fight videos

Cast from clear photos

Front-facing, evenly lit portraits give the model the most to hold onto across three frames. Use photos you have the right to use, and get permission before putting someone else's face in a scene.

Leave the wardrobe locks in place

They read as repetitive in the prompt text, and they are the biggest reason the finished clip holds together.

Fix the keyframes before judging the video

A weak middle frame produces a weak sequence every time, so regenerate that image rather than re-rolling the video.

Name the camera move

Tracking beside, squeezing between, circling around. Physical verbs outperform mood words in any action scene prompt.

Treat the result as previs

This is a fast way to visualize a sequence and test an idea, not a substitute for stunt performers, fight choreographers or a crew.


Get answers to common questions

Two character photos and a Picsart account. The template supplies the environment prompts, the keyframe structure and the camera direction.

Start making AI fight videos

Good action comes from structure, not from luck with a prompt. Three keyframes give the sequence a shape, the identity locks keep it coherent, and the camera direction makes it move like something that was filmed. Open the template in Picsart Flow and build your first scene.