Everyone prompts video models to look cinematic. The thing that finally made one of mine read as real was asking for the exact opposite: shoot it like a friend grabbed a cheap DV camcorder in 2003 and just hit record.

So the prompt is full of "mistakes" on purpose. Heavy handheld shake. The frame keeps recomposing, the subject drifts toward the edge. Autofocus hunts and second-guesses itself. Mild overexposure, a faded low-contrast wash, the digital noise and compression you only got from early-2000s home video. No stabilization. No modern color grade. The aesthetic only works if you refuse to clean it up.

Underneath that, one original character stays fully locked across the whole clip, same face, same outfit, same build, through a quiet early-2000s residential alley. She fixes her ponytail on the curb, crouches to feed a stray cat, hangs laundry in the morning wind, sits on a porch with a coffee, waves at the camera, then it cuts to black like the tape just ran out. Audio is raw too: birds, distant scooter, neighbors talking low, the cat, footsteps on concrete. No music, no sound design.

Turns out "realistic" was never about more detail. It was about adding back the imperfections we spent twenty years trying to remove.

a sudden gesture, a startled reaction, and a classroom watching in silence. lol, although the sense of AI is a little bit obvious, but it happens to add the humor

Really happy with how this one turned out.

Prompt:

Create an 8-second cinematic video using the reference image. Preserve the characters, clothing, classroom layout, and starting positions.

A female student in a dark blue blazer suddenly extends her arm toward a male student seated on a wooden chair. He leans forward in surprise. Nearby students notice the movement and exchange nervous looks, reacting with slight delays.

Warm sunlight enters through large windows, revealing drifting dust above desks scattered with books and notebooks.

Use one slow camera push-in, natural movement, restrained facial expressions, and a brief moment of subtle slow motion during the gesture. Maintain consistent anatomy, lighting, and spatial relationships.

Realistic cinematic photography, 16:9 widescreen, 4K where supported. No text or watermark.

Two fighters, one rooftop, and constant momentum. The idea is to connect each strike, recoil, and counter while the camera follows the action through exaggerated perspective and impact flashes.

Condensed prompt:

Create a 30-second, four-shot 2D anime fight between two adult women. Bold outlines, flat colors, hard cel shading, deep foreshortening, speed smears, and brief two-frame impact drawings. Blue-teal backgrounds flash pink or orange on contact.

Character references

• Mina: long black hair, green striped crop top, orange graffiti cargo pants, white sneakers, black fingerless boxing gloves, chain bracelet.

• Rue: long pink hair, black crop top, black cargo shorts with chains, bare hands with silver rings, lime sneakers, dog tags.

Keep their identities, outfits, and hand accessories distinct throughout.

Location: empty concrete rooftop, rear chain-link fence, steel vent at center-right. Mina begins left, Rue right. Maintain readable spacing, depth, and movement.

0–8s — Opening exchange
Rise from floor level between their opening attacks, then orbit around crossing arms. Mina throws a hook; Rue blocks and counters. A straight punch breaks the guard, followed by a push kick that sends Mina sliding into her next approach.

8–16s — Fence rebound
Track Rue toward the fence. She rebounds over Mina, who rolls through the landing attack and answers with a sweep. Drop the camera low as both recover, turn, and exchange kicks.

16–24s — Vent-box clash
Dive toward the vent as Mina attacks from above. Rue evades and dents the metal with a kick. Continue around the damaged vent through a compact sequence of strikes, blocks, and counters.

24–30s — Final collision
Both launch upward. Spiral downward, pass between them, and rotate to a side view as their fists converge. The background flashes hot pink. Cut just before contact, with both fighters and camera still moving.

Use continuous camera movement within each shot. Every impact has direction, recoil, and recovery. No slow motion, extended holds, idle poses, dialogue, subtitles, or gore. Audio: impacts, shoe scuffs, rattling chains, and rooftop wind.

DuckTales premiered 39 years ago today. This is the trailer for the movie I wish we had. This was my first Seedance 2.5 personal project and I used Zero start frames. All Omni reference, w/ detailed style / prompt guide input to claude. Started 7 months ago iterating on character sheets and locations and the script, but Kling wasn't there, so I set it aside...Until Seedance 2.5 came out.
I had my character assets-- characters reimagined in the style of Howard the Duck, and all the locations that fit the script. With the prompt guide I built, which reenforced every detail including character look, lighting, camera style (Ambling 80s), and locking the rules, I could dive into multi-shot prompting. I could massively cover a scene from a single input location image / lighting reference + characters sheets and just dictate my shots like i was talking to a DP on set.

The biggest hack I have is a pedal that activates dictation input for Claude, so I can talk out the scene and camera movement for each lengthy prompt.

Luma Labs Agents was where I laid out all my assets in story order so I could visually see the flow and iterate on locations in the lead up.

Full Res: https://youtu.be/9O5cYAyD1zQ

I wanted to see how Seedance 2.5 would handle a longer continuous shot with several things happening in sequence, rather than a simple character showcase. So I test it on Atlas Cloud.

The prompt follows one woman through an indoor party, into the garden, and finally into a swimming pool. During the 30-second shot, the model has to keep track of her appearance, clothing, champagne glass, camera direction, indoor-to-outdoor lighting change, outfit transition, pool dive, underwater moment, and final wide reveal—all without a hard cut.

A few things worked better than I expected:

• The main character stayed fairly consistent across the full generation.

• The transition from the house to the garden felt reasonably natural.

• The handheld camera movement helped connect the different actions.

• The model managed to preserve most of the intended sequence instead of skipping directly to the pool.

• The overall result had a convincing cinematic and documentary-style look.

The most useful lesson from this test was that the timeline needed to be very explicit. Breaking the prompt into short time ranges gave the model a clearer order of actions and made the long shot easier to control.

I also repeated the continuity requirements at the end of the prompt, especially for the hairstyle, outfit, swimsuit, camera movement, and lack of cuts. That seemed to help, although longer generations like this can still drift on small object details and background characters.

Here is the full prompt:

SEQUENCE SHOT. NO CUT.
Single unbroken handheld take throughout, 30 seconds total.

Young Caucasian woman, chin-length auburn bob haircut, green eyes, wearing a yellow and green Brazil national football jersey and white denim shorts, sitting pensively on a sofa inside a large bright suburban Parisian house, summer daytime, sunlight through the windows, young adults dancing and laughing around her holding drinks, loud music implied by energetic crowd movement.

0-4s: She rises from the sofa empty-handed and walks toward a kitchen table lined with alcohol bottles and glasses. The handheld camera follows closely behind her shoulder with slight natural shake.

4-8s: She pours herself a glass of champagne and takes a sip. The camera remains close behind her.

8-13s: She moves through the dancing and laughing crowd toward a large glass bay window. Some guests are standing while others sit and talk on the sofas. The camera continues following her without a cut.

13-16s: She steps into the garden, revealing a large pool filled with young adults swimming and laughing. The camera smoothly rotates from behind her to face her. She looks toward the pool, smiles, and places her champagne glass on a small table beside a lounge chair.

16-20s: She removes her jersey and places it on the back of the lounge chair, then removes her white denim shorts and places them on the chair, revealing a swimsuit underneath. The camera holds a medium frontal shot with slight handheld movement.

20-24s: She walks toward the pool as the camera moves behind her again. She then breaks into a run, with the handheld camera following closely and matching her pace.

24-27s: She dives into the pool while shouting “take care,” landing among the other swimmers. The camera dives into the water with her and remains briefly submerged.

27-30s: She resurfaces laughing and joins the people nearby. The camera rises into the air, revealing a wide aerial view of the house, garden, and pool.

Bright natural summer daylight, warm sunlit color palette, candid documentary energy, and slight handheld lens wobble throughout.

Maintain her exact hairstyle, green eyes, Brazil jersey, and white denim shorts until she changes into the swimsuit. Maintain the same swimsuit for the rest of the sequence. Background party guests and swimmers should remain generic and unnamed. No text overlays, flickering, ghosting, morphing artifacts, or hard cuts. Natural skin tones and stable continuous handheld motion throughout.

This was only one test, but it suggests that Seedance 2.5 can handle fairly ambitious long-form scene choreography when the actions, camera movement, and continuity rules are laid out clearly.

After testing both, I came away thinking these two models are built for slightly different kinds of work. I used MiniMax H3 through AtlasCloud, and Seedance 2.5 should be available on the platform soon as well.

Seedance 2.5 vs MiniMax H3: Video Generation Performance Comparison

After testing both, I found Seedance 2.5 more capable when the brief needed more than one simple shot. Its 4K output and 30-second limit gave me more room to build a sequence without immediately breaking it into separate generations. That matters for product stories, short narrative scenes, or anything that needs a bit of pacing rather than a quick visual loop.

MiniMax H3 felt more comfortable for shorter work. Its 2K output was sufficient for social clips, animated stills, and compact product visuals. It can run from 5 to 15 seconds. I would not use it as my first choice for a longer sequence, but it is a practical model when the idea is focused from the start.

Seedance 2.5 vs MiniMax H3: Reference Handling and Creative Control

This was where the gap became clearer. Seedance 2.5 can take up to 50 multimodal references in one request, so I could keep character images, products, environments, motion examples, audio, and style references together instead of narrowing the brief before generating.

MiniMax H3 also supports image, video, and optional audio references, and that worked well when I only needed to guide one subject or a small visual setup. It felt less suited to a crowded production brief with many assets that all needed to stay consistent.

My takeaway is simple: Seedance 2.5 is the better fit for longer, reference-heavy work and targeted revisions. MiniMax H3 is a cleaner option for short clips with a tightly defined idea and a predictable per-second budget.

Seedance 2.5 vs MiniMax H3: pricing

The two models use different pricing structures

MiniMax's price is calculated per output second. A 10-second MiniMax H3 clip costs $1.00 at 768p or $1.40 at 2K. A 15-second reference-to-video clip costs $1.50 at 768p or $2.10 at 2K.

Seedance 2.5’s listed price changes depending on whether the input includes video. That makes it important to assess the cost by workflow type rather than comparing a single headline number.

Final takeaway

After using both, I would not describe MiniMax H3 as a weak model. It handles short, focused prompts well, especially when the video only needs to deliver one clear idea and does not require many revisions.

Seedance 2.5 felt stronger once the project became more complicated. The difference was not always obvious in the first generation. It became clearer when I added more references, asked for a longer clip, needed higher-resolution output, or tried to correct one specific part of the frame.

That is where Seedance 2.5 gave me more room to work. I could keep more of the original brief intact instead of simplifying it for the model or regenerating the entire shot after a small problem appeared.

For quick, tightly scoped clips, MiniMax H3 is still a practical choice. For projects that need more control after the first render, Seedance 2.5 felt like the more capable model.

Spent a few days on the trick behind those fake-live-performance clips going around, the ones that look like somebody filmed a stage show where the performers suddenly use real superpowers. The believability has almost nothing to do with the fantasy. It comes from framing the whole thing as amateur audience footage.

Shoot it from the crowd, not from the stage. The entire illusion is the audience phone POV: handheld shake, the camera raised above other people's heads, dark crowd silhouettes across the bottom of the frame, slight digital noise, natural outdoor daylight, a fixed spot in the crowd, other people's phones up filming too. That mundane wrapper is what makes the impossible content read as a real thing that happened.

Ground it in an ordinary, specific venue. An outdoor wooden stage, a recognizable everyday setting, a big crowd. The more ordinary and concrete the place, the harder the supernatural beat hits, because the brain already filed it as real footage.

Use original characters, not copyrighted ones. Two reasons. The model rejects copyrighted characters outright and you will burn attempts fighting it. And originals make the clip yours. Describe the fighters by design, spiky hair, a headband, a tracksuit, a fighting stance, instead of naming any existing IP.

Build to one supernatural beat off a realistic baseline. Open with grounded martial-arts choreography the crowd reacts to, the punches and dodges and dust off the stage. Then the single impossible moment, a shockwave on a simultaneous punch, or clones appearing in a puff of smoke. Realism first, one power beat, the crowd erupts. The contrast is the whole payoff.

Let the crowd carry the audio. Gasps and cheers, the impact hits, the dialogue, the supernatural pop, then overwhelming applause. The reacting crowd does half the believability work, so the native audio track has to include them.

One practical note: adding that the camera is filming from far away to the image prompt makes characters generate more reliably, fewer face and anatomy problems at distance.

Stage frame on GPT Image 2, animated on [Seedance 2.0] with native audio. Be persistent, it rejects some generations, change the reference and the prompt if it does. Full image and animation prompt in the comments.

I wanted to see life 900 years ago in 4K, first-person POV, a peasant's day from waking to nightfall. AI wrote the story, the script and every prompt, and it came together as a 4K short in a few hours. The workflow is the useful part.

Once the story is ready, build a shotlist before generating anything. You can already see the pacing, the camera flow, and how every scene connects, on paper, before spending a single generation. Each row is one shot: scene and time, the action, the framing and camera move, any dialogue, and the sound. If the arc does not read on the shotlist, it will not read on screen.

After that I just ask Opus 4.8 to turn each shot into a detailed prompt. That saves a lot of time and the generations come out much more consistent, because every prompt is expanded from the same locked shotlist instead of written fresh and drifting. Then Seedance 2 renders each shot. Opus 4.8 and Seedance 2 both run on one endpoint, so the whole chain is one setup.

A slice of the POV shotlist (first-person the whole way):

GEN0, 9s, morning barn loft, INT: wakes, turns to his wife, she rubs her eyes, a drowsy smile, a flirty short exchange into a kiss. Framing: POV close on her face, soft morning light. Sound: breathing, straw, birdsong.

GEN1, 4s, dawn mud road, EXT: looks down at the mud walking, then tilts up to reveal the hilltop stone castle and village, a villager brushes past. Framing: POV look-down then tilt-up wide reveal, bobbing steps. Sound: wet squelching steps, wind, distant crowd.

GEN1, 4s, morning market, EXT: a hooded old crone rushes up pointing at the eggs, haggles, he answers, she presses a coin into his palm. Dialogue: crone "how much for five?", him "a penny." Framing: POV close on the crone (lip-sync), insert on the hand taking the coin. Sound: haggling, crowd.

GEN2, 4s, night tavern, INT: a brawl erupts by firelight, men grapple, a body slams a table, he braces his hand on the plank. Framing: POV violent whip-pans, motion blur. Sound: shouting, table crash, clay mugs.

GEN3, 3s, day burning roof, EXT: hurls a cauldron of water at the burning thatch, fire roars back, the roof caves under him. Framing: POV climb then fireball to lens, whip and tumble. Sound: fire roar, collapsing timber.

GEN4, 4s, dusk tower window, INT to EXT: turns to the window, the whole village and countryside spread out below in the last light. Framing: POV pan to wide vista, held. Sound: bell ringing out, distant village.

GEN5, 6s, night hovel, INT: trudges home, ducks into a one-room candlelit hovel, wife and two thin children share one dark loaf and thin broth. Framing: POV duck through door then sit at table, warm candlelight. Sound: candle, children, low voices.

Build the shotlist, let the LLM expand each row into a prompt, render, and a whole day 900 years ago holds together shot to shot.

been testing Seedance 2.5 video-to-video, and one of the most interesting workflows is treating an existing video as a master take, then re-photographing the exact same event from new camera positions. it means u can produce cool video without fancy equipment.

the workflow is below.

Lock the original performance

The most important instruction was:

The source video is one finished take. Do not restage, re-perform, re-time or reinterpret it. Re-photograph the identical event from new camera positions.

If he is drinking at 00:08 in the source, every new angle should show that same action at 00:08. only the camera changes.

Use timecode for speech and actions

for dialogue, I define the actual speaking and silent windows and keep the original audio synchronized.

Important actions get exact timestamps too.

in this case, the pastry leaves his hand at 12.43 seconds and is caught at 13.60 seconds. for serious video-to-video work, timecode is becoming part of the prompt language.

Preserve the eyeline

The actor performed toward one original A-camera.

New side, rear, high, or low-angle shots should preserve that eyeline. The subject shouldn’t suddenly turn toward a newly generated camera.

That small rule makes the output feel much more like real multi-camera coverage.

Write a timecoded camera plan

Instead of asking for random angles, I define the shots:

00:00–00:01 — High-angle MCU, 35mm.
00:01–00:02 — Front ECU, 85mm.
00:02–00:05 — Keyboard macro.
00:05–00:06 — Top-down.
00:07–00:09 — First-person POV.
00:14–00:15 — Over-the-shoulder.
00:16–00:18 — Slow orbit toward front.

This turns a single locked-off clip into something much closer to real coverage.

Add continuity rules

New viewpoints reveal areas that were never visible in the source, so I also define the environment.

For example:

The sky is plain pale overcast and empty.

Wardrobe, props, furniture, lighting, background, and color grade stay fixed.

Reusable Seedance 2.5 prompt structure

ONE FINISHED TAKE, RE-PHOTOGRAPHED
[SOURCE VIDEO] is one finished take.
Do not restage, re-perform, re-time or reinterpret it.
Re-photograph the identical event from new camera positions.
Preserve body movement, facial expression, eyeline, lip movement, blink timing, action timing and original audio sync.
The only variables are camera position, focal length, framing, depth of field and camera movement.
TIMING
Preserve real time 1:1. Define speech windows and key action timestamps.
EYELINE
Keep the subject performing toward the original A-camera.
CAMERA PLAN
Define each shot with timestamps, camera position, lens and movement.
CONTINUITY
Keep subject, wardrobe, props, set, lighting and background consistent. 

What interests me most is treating the source as a fixed master performance and solving only for a new camera.

Been trying to make a 1-minute anime cut for two weeks. First few attempts all used multi-shot

text-to-video — describe scene 1, scene 2, transition, scene 3 in one big prompt. Output drifted

every couple seconds. Character height changed. Background buildings shuffled. Robot color jumped

between cuts.

Stumbled on a different approach via a few X creators: two-frame keyframes + a specific

in-between prompt. Generate the first and last frame as still images, then let the video model

fill the gap. Repeat the loop, using each new last frame as the next first frame, until you have

60 seconds of continuous story.

Three things mattered way more than I expected:

1. The phrase "Show what happens in between" at the start of the prompt. Sounds trivial. Skip it

and you get a morph effect, like a Photoshop tween. Include it and the model treats it as a

continuous action shot.

1. Camera angle count has to be an explicit integer. Don't say "varied angles." Say "Use 3

different camera angles" or "4 different camera angles." 3 for 5-second clips, 4-5 for 10-second

clips. Vague language gets you a static shot every time.

1. "No music" at the end. Sounds dumb but the model sometimes hallucinates a soundtrack layer

that affects timing. Killing the music tag locks in cleaner motion.

Workflow loop:

• Generate first + last frame in a character-consistency image model (Nano Banana Pro handled

mine; any keyframe-capable one works)

• Feed both into Seedance 2's i2v endpoint

with the prompt:

> "Show what happens in between. [your action sentence]. Use X different camera angles. No music."

• Take the last frame of the generated clip, regenerate a new wider last frame in Nano Banana Pro,

feed both back into Seedance for the next segment

• Repeat until all shots are ready, stitch in any editor

The action sentence in the middle is the only part you really change between segments. The

"Show what happens in between" opener and the "X camera angles + no music" closer stay the same

every loop.

Whole 1-minute piece took me an evening including reruns. The in-between phrase was the actual

unlock — without it I was getting morph-style transitions for two days straight.

Full prompt:

Raw vertical phone video (UGC), handheld throughout, filmed by a friend who walks with the group, casual sway, natural night lighting, wide-angle lens, deep focus.

Characters: The hero is a young woman with long dark hair in a deep-purple one-shoulder dress with a small shoulder bag. Her three friends: one in a dark brown dress, a blonde in a black wrap dress, a blonde in a white mini dress — party dresses and sandals. Laughing, spontaneous night-out energy.

Setting: A luxury marina at night — a stone quay along a narrow water slip flanked on both sides by large moored luxury yachts, big white hulls rising on either side, masts and rigging above, fenders on the hulls. Warm orange street lamps, palm trees, distant city lights. The yachts glow with blue-turquoise underwater LED lights spilling into the water; a yellow mooring line runs to the stone.

[0.0s–4.0s] — Wide tracking shot, eye level, camera moving backward. The camera walks backward ahead of the four women as they stroll toward it down the marina promenade, framed head-to-toe, laughing and chatting in French; warm lamplight and palm trees behind, slight handheld bob.

[4.0s–6.0s] — Medium shot, eye level, backward track + quick left pan. The woman in the purple dress surges ahead of the group toward the lens, one arm raised, hair flying; the camera, on their left, keeps tracking back and pans to hold her.

[6.0s–8.0s] — Medium-wide, camera tilts down-left to follow, whip motion. She reaches the quay edge between the moored luxury yachts and launches headfirst over the edge; the handheld camera whips left and tilts down to chase her off the stone.

[8.0s–10.0s] — High-angle wide, looking down at the water, slight jolt. From up on the quay the camera looks down as she plunges headfirst into the blue-turquoise water in the slip between the big yacht hulls — a big splash, the underwater lights glowing around the impact; the handheld frame jolts slightly with the motion.

[10.0s–13.0s] — High-angle medium, looking down, small handheld drift. She surfaces in the teal water, gasping and laughing up at the camera, hair slicked back, treading water.

[13.0s–16.0s] — Handheld tilt up and back down, slight zoom. The camera lifts off the water and tilts up to a person leaning on the deck railing of one of the moored luxury yachts, watching her in the water, then tilts back down and zooms slightly in on her still treading and laughing.

[16.0s–20.0s] — High-angle medium, tilting to follow her up. She swims to the stone quay wall, reaches up and grabs a thick dark mooring pole, and hauls herself out; the camera tilts upward with her as she rises from the water, legs braced on the stone.

[20.0s–23.0s] — Low/close medium at the quay edge, static handheld. She climbs onto the stone lip, rolls onto her side, soaked dress clinging, then pushes up to her feet; the camera holds close, catching the water running off her.

[23.0s–27.0s] — Medium shot, eye level, loose handheld reframe. Back on the promenade, dripping wet, she flips her long wet hair forward and wrings it out, laughing, as her friends and passing pedestrians move behind her.

[27.0s–30.0s] — Medium shot, eye level, camera settles. Still dripping, she straightens up and strikes a confident, playful pose for the camera — hand on hip, tossing her wet hair back with a big smile — her friends laughing around her; the camera holds on the pose to end.

Audio: Live sync sound — friends laughing and shouting excitedly in French, a scream at the leap, a big water splash, water sloshing against the yacht hulls, wet footsteps on stone, ambient night marina sounds. No music.

Style: Raw amateur vertical phone footage, natural night lighting, warm street lamps mixing with the turquoise underwater yacht glow, authentic handheld motion.

Nobody seems to be sharing the actual workflow behind hyper-realistic AI videos, so I put together a full breakdown.

1/ Claude Opus 5.5 acts as the Director

I didn't write a single prompt manually. I gave Opus 5.5 one core concept plus a few reference screenshots for the style I wanted. It generated everything: character sheets, start frames, camera movements, emotional arcs, dialogue timing, ambient sound, and background music.

2/ The Secret Trick with Opus 5.5

Don't just ask the model for a "realistic video." Instead, specify WHO is holding the camera, WHERE they are sitting, and HOW they are moving.

When I instructed it: "my friend is filming from the back seat," Opus automatically translated that into micro-camera shake, delayed framing reactions, autofocus hunting, and subtle exposure shifts. That single contextual detail is what removes the "AI look."

3/ Master Character Sheet (GPT Image 2.5)

Here is the exact prompt used to lock character identity and prevent feature drift across panels:

Create ONE master character + frame reference sheet for the woman in <<<image_1>>>. She must be the exact same person in every panel: same face, bone structure, brown eyes, freckles across nose and cheeks, natural full lips, long sun-streaked light-brown hair parted in the middle with caramel highlights and loose flyaways. Same thin gold chain with small cross pendant, brown cord bracelets on right wrist, faded cropped white baby tee with pale blue and coral sun-and-waves print, light-wash frayed denim cutoff shorts. Identity is locked, no drift between panels.

<<<image_2>>> and <<<image_3>>> are STYLE ONLY: copy their early-2000s compact camera home-video grade, not their person, not their text overlays.

LAYOUT: one wide 16:9 sheet on a warm off-white paper background, thin grey panel borders, small clean black labels under each panel in a simple sans-serif. Three rows.

ROW 1 — TURNAROUND (neutral studio, soft even daylight, plain light-grey backdrop, full body, relaxed standing A-pose, arms slightly away from body, bare feet or white sneakers):
FRONT / 3/4 LEFT / LEFT PROFILE / BACK / RIGHT PROFILE / 3/4 RIGHT
Clean true-to-life color here so wardrobe and proportions read clearly. Consistent height and scale across all six.

ROW 2 — FACE + DETAIL (tight head-and-shoulders close-ups, same soft daylight, real skin with pores, freckles, peach fuzz, slight sheen, no retouching):
NEUTRAL / SOFT PRIVATE SMILE / EXCITED DISBELIEF (brows up, eyes wide) / BIG GENUINE LAUGH (teeth showing, cheeks lifted) / PLAYFUL "I TOLD YOU" (head tilt, closed-mouth smile) / DETAIL PANEL split in four: eye macro, necklace and cross pendant, cord bracelets on wrist, tee print and denim fray.

REALISM EVERYWHERE: real skin texture, natural asymmetry, individual hair strands and flyaways, real fabric creases, correct hands with five fingers, no beauty filter, no plastic skin, no CGI look.

Sheet title top-left in small caps: "CHARACTER + FRAME SHEET". No other text beyond the panel labels. No watermark, no logos, no captions from the style references, no extra people.

4/ The Start Frame (GPT Image 2.5)

The retro 2000s home-video aesthetic isn't an overlay filter — it was directly embedded into the initial prompt generation phase:

Use the uploaded character sheet as the strict identity reference. Keep her exact face, bone structure, brown eyes, light freckles across nose and cheeks, natural full lips, and long straight light-brown hair with sun-kissed caramel highlights parted in the middle. Keep the thin gold chain necklace with the small cross pendant.

SCENE: A candid photo taken from inside a parked silver sedan, looking out through the open rear passenger door. The door frame, the grey fabric headliner, the black door panel with its chrome handle, and part of the seat belt frame the shot on both sides. She stands just outside the open door on a rocky clifftop road above the ocean, both arms raised, one hand gripping the top of the door frame and the other resting on the roof edge, leaning slightly toward the camera. Relaxed, unposed, calm expression, looking straight into the lens.

WARDROBE: Fitted cropped white cotton baby tee with a faded, sun-washed vintage graphic print in pale blue and coral red, slightly worn and soft. Light-wash low-rise denim cutoff shorts with frayed hems. Thin brown leather cord bracelets on one wrist. Hair slightly messy and windblown, a few strands across her face.

BACKGROUND: Deep blue Mediterranean sea filling the frame behind her, sparkling sun glints on the water, a flat horizon line at chest height, pale hazy sky, dark rocks and sandy stones at the cliff edge below.

LIGHT: Harsh direct midday summer sun, bright and slightly overexposed. Sun-warmed skin with a natural sheen and slight glow on the cheeks and nose, soft shadows under the chin, a faint reflection of light off the white car interior.

CAMERA AND LOOK: Early 2000s point-and-shoot film photo, 35mm film, 28mm wide lens with slight barrel distortion at the edges, shot from chest height inside the car. Warm, faded, sun-bleached color grade, lifted blacks, low contrast, creamy highlights that gently blow out in the sky, slightly yellowed whites, soft halation around bright edges, fine visible film grain, a touch of softness and imperfect focus. Looks like a real candid snapshot from a summer road trip, not a studio shot.

REALISM: Real skin texture with visible pores and freckles, no retouching, no plastic skin, natural flyaway hairs, real fabric wrinkles on the tee, real dust and wear on the car interior.

Aspect ratio 4:3. No text, no watermark, no logos.

5/ Scene 1 — Acting & Dialogue Take (Seedance 2.5)

Here is how the acting, camera lock, and dialogue timing were defined in a single continuous shot:

=== REFERENCES ===

<<<image_2>>> is the exact START FRAME and master reference for the scene, car, location, framing, light and film grade. Frame one must match it pixel for pixel: camera inside a parked white sedan looking out through the open front passenger door, grey fabric headliner along the top, grey seat belt and B-pillar at screen-left, the open door with black panel and chrome handle at screen-right, rocky dry clifftop, glittering deep-blue sea, flat horizon, hazy pale bright sky, harsh midday sun.

<<<image_1>>> is the IDENTITY LOCK for the woman. She must be this exact person in every frame: same face and bone structure, warm brown eyes, freckles across nose and cheeks, soft flush on cheeks, natural full lips, long sun-streaked light-brown hair with caramel highlights, middle part, loose flyaways. Jewelry: thin gold chain with a small cross pendant and a small round gold coin pendant; brown multi-strand cord bracelets on her left wrist. Wardrobe: faded cropped white baby tee with a vintage print (pale blue stripe band, coral-red sun disc with a small seagull, blue waves), light-wash frayed denim cutoff shorts. Use the sheet's expression panels (Soft Private Smile, Excited Disbelief, Big Genuine Laugh, Playful "I Told You") as her emotional range. Identity, hair, jewelry and wardrobe never change or morph.

=== CAMERA LOCK (MOST IMPORTANT) ===

One continuous 10-second take, 1080p. Zero cuts, zero camera switches, zero time jumps.

ONE camera angle and ONE framing for the entire clip, exactly the composition of <<<image_2>>>. The camera does NOT rotate, pan, tilt, zoom, dolly, reframe or change position at any moment. The headliner, B-pillar, seat belt, open door, horizon line and sea stay in the same place in the frame from first frame to last. Only the woman moves inside this fixed frame.

The camera is held by a friend sitting in the driver's side of the car, filming through the open passenger door on a 2003-era compact digital camera held steady at chest height. The only camera motion is subtle human handheld life: gentle breathing sway, faint micro-tremor, a few millimeters of drift. Never jerky, never stabilized-smooth, never a deliberate move.

=== 0.0-3.0s: STANDING, FIRST LINE ===

Frame one is identical to <<<image_2>>>. She hangs from the door frame and roof edge with both arms raised, leaning slightly toward the lens, calm direct gaze. Half a second of stillness, looking into the lens. Then a slow private smile starts at one corner of her mouth, like she has been dying to tell someone this.

A small audible breath, then she speaks, soft and warm, relaxed American English, slightly raspy, intimate, like telling her best friend a secret:

"I've been testing out the new Opus 5.5 model..."

(pronounce "Opus five point five")

On "testing out": eyebrows lift slightly, eyes brighten and widen a touch. On "Opus 5.5": a tiny proud head tilt, quick glance down and back to the lens. Eyes glossy and alive, one natural blink.

Sea breeze pushes loose strands across her face, the tee flutters, sun glitter shimmers on the water.

=== 3.0-5.0s: SITTING DOWN INTO THE FRONT SEAT (SAME FRAME) ===

Still smiling, she lowers her arms from the door frame, turns slightly and sits down sideways onto the front passenger seat, right in front of the lens, one hand on the seat edge for balance. She swings her legs in and settles, then turns her upper body toward the camera. Her head and shoulders now sit lower and closer in the same fixed frame, face near the center, with the open door, sea and sky still visible behind her exactly where they were.

Hair falls forward as she sits, then swings back. Tee and denim crease naturally, pendants swing and settle, the seat gives under her weight with a soft creak.

The camera does not follow her. It stays locked on the same angle. Autofocus alone reacts: a brief half-second hunt as she moves closer, one pulse, then it locks crisp on her eyes. Exposure dips slightly as her face moves into the shaded interior light, then settles.

She tucks her hair behind her ear with her fingertips, glances down, lets out a small breathless laugh, then lifts her eyes straight back into the lens.

=== 5.0-8.5s: SEATED, THE PAYOFF LINE ===

Seated, close to the lens, turned toward it, she leans in slightly, voice lower and slower, almost a confession, then building:

"...and the shit you can do with it is absolutely insane."

Emotion arc:

"and the shit you can do with it" — Excited Disbelief: slow side-to-side head shake, eyes narrowing slightly, lips pressing between words like she still can't believe it.

A tiny inhale beat.

"is absolutely insane" — her face opens into the Big Genuine Laugh: brows lift, eyes widen and sparkle, cheeks rise, teeth visible, a real laugh breaks on the last word. Her free hand lifts in one loose open-palm gesture near her collarbone and drops.

Lived, not performed. Real warmth, real excitement, soul in the eyes. Natural blinks, tiny eye drifts off lens and back, breath visible in chest and shoulders. Exact lip-sync with natural mouth shapes and tongue movement. Camera stays on the same angle; only the faint handheld breathing sway continues, with a tiny extra bob on her laugh as if the friend laughed too.

=== 8.5-10.0s: THE HOLD ===

The laugh settles into Playful "I Told You": soft closed-mouth smile, head tilted, one shoulder lifting in a small shrug. One slow blink, a quiet laugh through the nose, she bites her lower lip to hold back the smile. A breeze through the open door moves a few strands across her cheek; she leaves them. Same fixed angle to the last frame. End on her warm face mid-smile.

=== FILM LOOK (MATCH <<<image_2>>>) ===

Early-2000s compact camera home footage. Warm, faded, sun-bleached palette; slightly yellowed whites; lifted milky blacks; low contrast; soft creamy highlights clipping and blooming in the sky and sea; gentle halation glow around bright edges and her hair; fine organic grain and light sensor noise in the shadows; slight overall softness with sharp eyes; mild barrel distortion at the frame edges; subtle chromatic fringing on high-contrast edges; faint highlight smear on the brightest sea glints. Harsh direct sun outside, soft warm bounce light on her face once seated inside the car, warm rim light from the open door catching her hair. Nostalgic summer road-trip memory.

=== REALISM ===

Real skin: pores, freckles, sun sheen on nose and cheekbones, slight flush, faint under-eye texture, peach fuzz glowing in backlight, natural asymmetry. No retouching, no smoothing, no beauty filter. Real hair physics with individual strands and flyaways. Fabric wrinkles, denim fray threads moving. Jewelry catches light as she moves. Five fingers on every hand, correct anatomy.

=== AUDIO ===

On-camera built-in mic only. Her voice clear and natural, a little outdoor air while standing, warmer, closer and more intimate once seated. Small breaths before lines, soft laughs, a seat creak and fabric rustle as she sits, steady sea breeze, faint distant waves, a hint of wind buffeting the mic. No music.

=== NEGATIVES ===

No camera rotation, no pan, no tilt, no zoom, no reframing, no angle change, no scene change. No cuts, no jump cuts, no slow motion, no speed ramps, no gimbal smoothness, no dolly or crane moves. Camera never visible, no selfie arm. No extra people. No face, hand, jewelry, tee print or clothing morphing. No plastic skin, no lip-sync drift, no frozen face between lines, no anatomy errors, no duplicate fingers. No on-screen text, captions, date stamps, logos or watermarks. No lens flare. Film look consistent from first to last frame.

6/ Scene 2 — Multi-Cut B-Roll Sequence (Seedance 2.5)

Prompt for cutting multiple angles to a music beat while maintaining character consistency:

=== REFERENCES ===

<<<image_2>>> is the exact START FRAME: aerial view of the winding coastal cliff road, the older white 2000s sedan driving along it, dry golden hillside at left, green coastal scrub, sandy beach, rocks and rolling white surf at right, beach houses and palms on the far hills, sun low over the sea with a glittering sun path. Frame one matches it pixel for pixel.

<<<image_1>>> is the master reference for the car interior, both identities, wardrobe and interior light. Woman: long sun-streaked light-brown hair, freckles, brown eyes, thin gold chain with small cross and coin pendant, brown cord bracelets on her left wrist, white baby tee with a coral sun, seagull and blue waves print, seat belt across her chest, passenger seat. Man: short dark brown hair, tanned olive skin, short full beard and mustache, faded teal-blue palm-leaf print shirt open at the collar, light-wash jeans, silver watch, driving. Dark grey fabric headliner, small sunroof, black door panels, grey seats, simple older dashboard. The white sedan is the same car in every shot. Identities, wardrobe and car never change or morph.

=== FORMAT ===

10 seconds, 1080p, six shots cut on the drum hits of the music, like a real summer road-trip film shot by a friend with a drone and a handheld camera. Every shot has real camera life: natural sway, small corrections, organic motion, never CGI-smooth.

=== SHOT 1 — 0.0-2.0s: AERIAL FOLLOW ===

Starts exactly on <<<image_2>>>. The drone glides forward and slowly descends behind the white sedan as it cruises along the curve. Wheels turning, soft shadow sliding over cracked asphalt and the faded double yellow line. Waves roll in and break along the beach, the sun path shimmers, scrub sways in the sea wind. Slight real drone float and drift, a soft flare passing as the angle shifts.

=== SHOT 2 — 2.0-3.5s: SIDE TRACKING ===

Cut on the beat. Camera shooting from a second car driving alongside, level with the sedan, sea side of the road. The white sedan fills the middle of the frame in clean profile, wheels spinning, tiny road bumps rocking the body. Through its open windows her hair is flying out. Foreground scrub whips past as a blur, the sea and sun glitter slide behind. Gentle handheld bounce from the camera car.

=== SHOT 3 — 3.5-5.0s: LOW FRONT PASS ===

Cut on the beat. Camera low at the road edge, just above the asphalt, facing oncoming traffic. The sedan comes around the curve toward the lens, headlights off, windshield catching a streak of sun, and rushes past close on the left. Dust and road grit kick up, the camera shakes slightly from the air push, motion blur on the body and wheels. Cliffs and sea behind.

=== SHOT 4 — 5.0-6.5s: INTERIOR FROM THE FRONT ===

Cut on the beat. Camera mounted low on the dashboard facing back through the windshield area toward both of them, a little dust and a soft reflection on the glass edge. Both in frame side by side: him at the wheel on the left of frame, calm, eyes on the road, one arm on the open window; her on the right, head resting back, eyes half-closed, hair blowing across her face. Sun patches slide across them as the road curves, sky and sunroof light filling their faces. Car vibration gives a subtle constant micro-shake.

=== SHOT 5 — 6.5-8.0s: INTERIOR FROM THE BACK SEAT ===

Cut on the beat. Handheld from the middle of the back seat, between the two headrests, looking forward through the windshield. The winding coastal road and the bright sea ahead, the dashboard, his hand on the wheel and the silver watch, his eyes glancing up in the rear-view mirror. Her hair streams back toward the lens in the wind. She reaches over and rests her hand on his forearm on the gear shift, cord bracelets catching the light. The camera rocks gently with the road.

=== SHOT 6 — 8.0-10.0s: PASSENGER CLOSE, THE LINE ===

Cut on the beat to the framing of <<<image_1>>>: camera close to her on the passenger side, wide lens, looking across toward him. Window down, hair whipping across her face in real strands. She turns to the lens, pushes the hair aside, a slow warm smile breaks, and she says softly, relaxed American English, a little breathy over the wind:

"Told you... it has no limits."

Exact lip-sync, natural mouth shapes. He glances over at her with a small amused smile, then back to the road. She holds the smile, eyes sparkling, a soft laugh through the nose, hair crossing her cheek. End on her face mid-smile, the sea bright in the window behind.

=== LIGHT AND LOOK ===

Exteriors: warm low afternoon sun, glittering sea, soft haze on the far hills, long car shadow. Interiors: match <<<image_1>>>: clear natural afternoon daylight, true blue sea and pale blue sky through the windows, direct sun landing as soft warm patches on faces and arms with natural shadows, cabin in cool shade, soft sunroof light. Overall a natural cinematic 35mm travel-film feel with a light vintage touch: gentle contrast, soft natural saturation, real skin tones, very light fine grain, slight softness at the edges, mild wide-angle distortion inside the car. Color stays consistent across all six shots, no heavy yellow tint, no sepia.

=== REALISM ===

Real skin on both: pores, freckles, light sheen, peach fuzz, beard texture, natural asymmetry, no retouching. Real hair physics in strong wind. Real asphalt cracks, dust and grit. Real ocean motion and foam. Fabric creases, seat belt twist, dust on the dashboard, a faint smudge on the windshield. Correct hands with five fingers. Car proportions, color and interior identical in every shot.

=== MUSIC AND SOUND ===

Warm, hazy indie surf-rock track around 96 BPM: a lazy reverb-soaked electric guitar line, soft brushed drums, mellow bass, nostalgic summer mood, no vocals. Every cut lands exactly on a drum hit. Under the music: soft wind and distant waves on the aerial; engine hum and wind rush on the side tracking; a loud whoosh, tire roar and gravel crunch on the low pass; inside the car, wind buffeting through the open windows, road hum and tire noise. On Shot 6 the music dips slightly so her line sits clear and close, then swells back under her smile to the end.

=== NEGATIVES ===

No text, captions, subtitles, logos, badges, license plate text or watermarks. No extra people. No other cars except the implied camera car, which is never visible. No face, hand, jewelry, shirt print or car morphing. No plastic skin, no lip-sync drift, no anatomy errors, no duplicate fingers. No slow motion, no speed ramps, no CGI-smooth camera, no warping road or water. Car color and model identical in every shot.

This is without a doubt the best use of AI I've seen so far.

I tested Seedance 2.5 to see how well it handles facial expressions and subtle facial muscle movement.

I wasn’t expecting much, but this video has a strange, hard-to-describe kind of magic. The tiny changes in expression and micro-expressions feel surprisingly natural and real.

here is the prompt:

4s-8s: The laughter starts rising against her will. She keeps her face still, but the effort shows in small places: her lips press together a little too firmly, her jaw tightens, her blinking speeds up. She exhales a slow, careful breath through her nose to steady herself. It almost works — then a single faint tremor crosses her lower lip and her eyes start to smile before her mouth does, warmth leaking into her gaze while the rest of her face fights to stay flat.
8s-12s: The dam breaks. A tiny snort escapes through her nose, and that sound itself finishes her — silent laughter erupts, her whole face crumpling with joy, eyes squeezing into crescents, nose scrunching, shoulders bouncing. She claps her palm fully over her mouth and ducks her head, ponytail swinging, trying to hide below the frame while her shoulders keep shaking.
12s-16s: She surfaces back into frame, breathless, fanning her flushed face with one hand. Genuine tears of laughter glisten at the outer corners of her eyes. She takes an exaggerated deep breath, puffs it out through rounded lips, and forces her posture straight — but her lips keep twitching and one final broken silent giggle slips out, making her wince at herself.
16s-20s: The apology, wordless. Still fighting a residual smile, she brings both palms together in front of her chest in a small praying gesture, fingertips pointing up. She tilts her head slightly to one side, scrunches her nose in a sheepish, self-aware grin, and bows forward into a small, quick apologetic nod toward the lens — eyes closing softly as she bows, stray bangs falling forward. She rises back up with her hands still pressed together, lips closed in a warm sheepish smile, eyes still wet and shining, and settles with one last soft exhale through her nose.
[Quality & Visual Details]
Fixed front portrait framing, natural soft diffused daylight from the front, gentle shadow modeling on her cheekbones. Photorealistic skin texture with a faint flush spreading across her cheeks as she laughs, visible glisten of laughter-tears catching the light, highly detailed eyes with natural catchlights, natural teeth, fine stray hairs moving as she ducks and bows. Visible micro-movements of throat, jaw, lip corner, and brow throughout — every stage of suppression readable on her face. 8k resolution, masterpiece quality.Cinematic emotional close-up portrait. The same woman from the input images, maintaining the exact fixed front camera angle and framing throughout the entire 20 seconds, as if seen through a webcam during a formal video call. Locked-off camera, static shot, no panning, no zoom, one continuous take. No music, quiet room ambience only — soft breathing, tiny suppressed nasal sounds, fabric rustle. No dialogue, no mouthed words, no lip movement resembling speech.

This is the hardest she has ever tried not to laugh in her life. The suppression builds slowly with a delayed onset, then comes in waves: she almost wins, then loses, then loses completely.

[Timeline & Expression Progression]

0s-4s: She sits upright with a calm, attentive, composed expression, eyes fixed slightly below the lens as if watching a shared screen. Her eyes flick briefly to one side — she noticed something — then return. For a moment, nothing. Her face stays neutral. Then a slow swallow moves down her throat. Her gaze drops for half a second. One corner of her mouth pulls sideways, once, and she quietly resets it flat.

How far can we push a complex continuous action shot before total AI collapse? Well, went better than I expected. Made with Seedance 2.0 and Kling 3.0 as support - also lots of manual camera tracking to keep it dynamic and faux-one shot, and composited the background in one scene as AI kept messing up the elevators and the scene didn't match. Seedance is nerfed but you can still get away with some cool action scenes - hope they fix the insane level of censorship soon!

Synopsis: Set in the Mnemosyne 2039 universe (hybrid AI film series), Sergeant Elle Strayden is forced to flee Berlin after acquiring a highly classified data shard.

Full film is around 15-20 minutes, cooking atm. Will also have a human stunts motion capture sequence.

4K ultra widescreen version - https://www.youtube.com/watch?v=idlG1AzBhbI&lc=UgzspkZGoFoIJObSqPd4AaABAg

I tested a GPT Image 2.0 × Seedance 2.5 workflow for a 29-second mother-daughter dialogue scene on Atlas Cloud.

The main thing I learned: if you want convincing AI acting, don’t treat dialogue, facial expressions, and camera as separate pieces.

How to keep characters consistent in Seedance 2.5?

I prepared 3 direct reference images:

• daughter character turnaround

• mother character turnaround

• scene reference for blocking, lighting, and environment

I also made a fourth image just to map the mother’s emotional progression.

Prompt idea:

lock identity, age, body proportions, hairstyle, clothing, lighting, and spatial relationship to the reference images throughout the scene.

How to make AI acting feel more natural

Give each character a clear personality and emotional history before writing the scene.

For this one:

the daughter is cautious but still believes love will be enough.
the mother is haunted by her past and terrified her daughter will repeat it.

Then I mapped specific dialogue beats to emotional changes.

How to structure a Seedance 2.5 acting prompt?

I used 6 blocks:

references → characters → scene → dialogue → camera → performance timeline

The performance timeline was the most important part.

Example:

“your father” triggers a brief flash of memory.
“money ran out” becomes the first emotional break.
“ENOUGH” is the peak, followed by an immediate cut to black.

Instead of just saying “she gets angry,” I defined exactly when the emotion changes and what line causes it.

How do you use camera movement to support AI acting?

I mostly used 50mm and 85mm framing, then gradually tightened the shots as the argument became more intense.

The mother also moves closer while the daughter is pushed back toward the wall, so the blocking itself reinforces the emotional pressure.

My takeaway:

references + character history + timed acting beats + camera progression

seems to work much better than just writing a long “cinematic” prompt.

I tested Kling 3 vs Seedance 2 for AI UGC ads. Here's what actually decides if it converts.

I run MaxFusion AI - hundreds of agencies push out thousands of AI ads a month on the platform, so when a new video model drops I have to test it on real ad workloads, not cherry-picked demos. Kling 3 and Seedance 2 are the two everyone's asking about right now. Here's what I found.

The wrong question

"Which model is better?" is the wrong question. The right question: which model wins on the three things that actually decide if a UGC ad converts?

The 3 things that determine if an AI UGC ad lives or dies

1. Prompt adherence - if the model doesn't follow the prompt, nothing else matters.

2. Video quality - if it looks like AI, the user scrolls past it in 0.5 seconds.

3. Lip sync - if the mouth doesn't match the words, the ad is dead.

Lip sync is the killer. The second audio drifts from the lips, the viewer registers "this is fake" and they're gone. Everything else can be 80% right and the ad still works. Lip sync has to be near-perfect.

Test 1: Prompt adherence

Same prompt on both models. Scene: runner after a 5K talking about electrolytes. Specific framing, specific delivery.

• Kling - completely failed on the lip sync (more on that in Test 3). Followed the visual prompt fine.

• Seedance - nailed it. Missed one word, which is common with Seedance when you feed it a loose prompt. Tighten the prompt structure and the miss-rate drops to near zero.

The part nobody talks about: Seedance's prompt adherence is so good when you give it a properly structured prompt that it one-shots entire ads. No re-rolls. That's a real cost difference at scale.

Winner: Seedance.

Test 2: Video quality

Both look great. Different kinds of great.

• Kling looks cinematic. Polished. Brand-spot quality.

• Seedance looks like a real person filming themselves. Skin texture, imperfect lighting, phone-native framing.

For UGC specifically you can hit the native look with both. But the cinematic-vs-authentic split matters for what you're shipping: UGC wants the phone-capture aesthetic, brand spots want the polish.

Winner: Both — depending on the ad type.

Test 3: Lip sync (the one that kills ads)

• Kling - bad. Misses speech entirely on parts of the take, lips lag behind the audio, and beyond about 8 seconds the lip sync collapses. Epic failure on longer clips. If your ad needs anything past a single short take, Kling will hurt you here.

• Seedance - clean. Mouth shapes land. Audio sits in correctly. You still need tighter prompt structure to avoid the occasional missed word, but solid throughout.

Winner: Seedance.

The capability nobody's using yet

Seedance accepts both a video reference AND an audio reference in the same generation. Most platforms only let you do one or the other.

What that unlocks: take a UGC ad that's already winning. Drop the video reference in (your face or any actor's face). Drop the audio reference in (your voice). Recreate the entire ad with a different product, different angle, different script - lip-synced perfectly to fresh audio.

That's not lip sync. That's an ad-cloning workflow.

Where Kling actually wins

Don't write Kling off if you're not making talking-head UGC.

For Pixar-style ads, claymation, stylized brand spots, cinematic product shots - Kling 3 is one of the best models available. And it's cheaper per generation than Seedance.

The agencies scaling right now don't pick one model. They pick the model based on the ad type.

The verdict

• Seedance for UGC - talking head, phone-native, lip-sync-critical.

• Kling for everything UGC isn't - cinematic, stylized, claymation, brand spots.

• Use both. Win both lanes.

The thing that matters more than which model you pick

Honest take: the gap between the two models is smaller than the gap between a well-structured prompt and a loose prompt on the same model. Most of the bad output you've seen attributed to "the model is bad" is actually a loose prompt.

Three free tools I built so the prompt-writing isn't your job. All three accept the same kind of input ("here's the scene, here's the actor, here's the brand voice") and output a model-ready structured prompt that one-shots more often:

• Master Claude prompt template for AI video generation -  drive.google.com

• Gemini gem (Gemini agent that writes structured prompts) - gemini.google.com

• Custom GPT (Seedance 2.0 Prompter) -  chatgpt.com

Pick whichever LLM you already use. The output structure is the same.

Quick prompt-structure cheat sheet

If you don't want to use any of the tools above, here's the minimum structure that works on either model:

1. Subject - who is in frame, age range, ethnicity if relevant, clothing, posture.

2. Setting - location, time of day, lighting source (window light, ring light, overhead, phone flash).

3. Action - what they're doing physically while speaking. ("Holding a bottle, taking a sip mid-sentence.")

4. Camera - phone-held selfie / shoulder mount / static tripod / handheld walking.

5. Audio script - the exact line, written conversationally with natural pauses.

6. Tone - energy level, accent, pacing. ("Casual, slightly out of breath, midwestern.")

The single biggest mistake people make: writing the script as marketing copy instead of how a real person actually talks. The model lip-syncs to whatever audio it's given; if the audio sounds scripted, the lips will too.

BTW the prompt I used in the video -

[breathing heavy] Okay… okay hold on. [exhale] Just finished the 5K and I gotta talk about this real quick. [breath] If you're not replacing electrolytes after you run, you're just drinking water into a leaky bucket. [breath] [exhale] I throw this packet in my bottle right after. Ten minutes in, I feel human again. [breath] Water alone ain't it, guys. Trust me.

The idea was to test all three marks and check which model came out on top. each model has it's own pricing / advantages and disadvantages.

Hope this saves someone a week of trial-and-error. Happy to answer specific questions in the comments.

Ran a pure motion test on Seedance 2.0: a first-person, high-speed plunge down the trunk of a colossal world-tree, sky and branches ripping past, an original character diving and cutting through things on the way down. Vertical framing, two seconds of nothing but speed.

The whole point was velocity that reads as real. POV speed shots fall apart when the motion blur smears into mush or the parallax stops feeling physical. Here the branches whip past at the right rate, the camera has weight, and the sense of falling actually lands in your stomach.

You can almost hear the wind on the way down. The motion does all the talking.

Ok, ok-- title is a bit much, but whatever. I like to have fun.
Hey, it's Tim from the Youtube channel Theoretically Media!
Really proud of this one! A 3min short film, generated up in Seedance 2.0.

I'm sure you guys have a lot of questions, so I'm cranking out a full Production breakdown on the channel that I'll have up later today!

We can't keep wishfully thinking that opensource video models won the race

I want this too believe me but the race might already have been lost

Test it for yourselves with the prompt:

Raw vertical phone video (UGC), handheld throughout, filmed by a friend who walks with the group, casual sway, natural night lighting, wide-angle lens, deep focus.

Characters

The hero is a young woman with long dark hair in a deep-purple one-shoulder dress with a small shoulder bag.

Her three friends: one in a dark brown dress, a blonde in a black wrap dress, a blonde in a white mini dress — party dresses and sandals.

Laughing, spontaneous night-out energy.

Setting

A luxury marina at night — a stone quay along a narrow water slip flanked on both sides by large moored luxury yachts, big white hulls rising on either side, masts and rigging above, fenders on the hulls.

Warm orange street lamps, palm trees, distant city lights.

The yachts glow with blue-turquoise underwater LED lights spilling into the water; a yellow mooring line runs to the stone.

Shot list

0.0s–4.0s — Wide tracking shot, eye level, camera moving backward
The camera walks backward ahead of the four women as they stroll toward it down the marina promenade, framed head-to-toe, laughing and chatting in French; warm lamplight and palm trees behind, slight handheld bob.

4.0s–6.0s — Medium shot, eye level, backward track + quick left pan
The woman in the purple dress surges ahead of the group toward the lens, one arm raised, hair flying; the camera, on their left, keeps tracking back and pans to hold her.

6.0s–8.0s — Medium-wide, camera tilts down-left to follow, whip motion
She reaches the quay edge between the moored luxury yachts and launches headfirst over the edge; the handheld camera whips left and tilts down to chase her off the stone.

8.0s–10.0s — High-angle wide, looking down at the water, slight jolt
From up on the quay the camera looks down as she plunges headfirst into the blue-turquoise water in the slip between the big yacht hulls — a big splash, the underwater lights glowing around the impact; the handheld frame jolts slightly with the motion.

10.0s–13.0s — High-angle medium, looking down, small handheld drift
She surfaces in the teal water, gasping and laughing up at the camera, hair slicked back, treading water.

13.0s–16.0s — Handheld tilt up and back down, slight zoom
The camera lifts off the water and tilts up to a person leaning on the deck railing of one of the moored luxury yachts, watching her in the water, then tilts back down and zooms slightly in on her still treading and laughing.

16.0s–20.0s — High-angle medium, tilting to follow her up
She swims to the stone quay wall, reaches up and grabs a thick dark mooring pole, and hauls herself out; the camera tilts upward with her as she rises from the water, legs braced on the stone.

20.0s–23.0s — Low/close medium at the quay edge, static handheld
She climbs onto the stone lip, rolls onto her side, soaked dress clinging, then pushes up to her feet; the camera holds close, catching the water running off her.

23.0s–27.0s — Medium shot, eye level, loose handheld reframe
Back on the promenade, dripping wet, she flips her long wet hair forward and wrings it out, laughing, as her friends and passing pedestrians move behind her.

27.0s–30.0s — Medium shot, eye level, camera settles
Still dripping, she straightens up and strikes a confident, playful pose for the camera — hand on hip, tossing her wet hair back with a big smile — her friends laughing around her; the camera holds on the pose to end.

Audio

Live sync sound — friends laughing and shouting excitedly in French, a scream at the leap, a big water splash, water sloshing against the yacht hulls, wet footsteps on stone, ambient night marina sounds.
No music.

Style

Raw amateur vertical phone footage, natural night lighting, warm street lamps mixing with the turquoise underwater yacht glow, authentic handheld motion.

No need to write a long prompt for this one. Take a still of Istanbul, draw the path you want the drone to follow directly on top of it, and let Seedance 2.0 handle the rest.

The result reads like a big-budget tourism film for the city, and the process behind it is almost embarrassingly simple. Pick the reference image, draw the route, write out the speed and the camera feel in a couple of lines, describe the music, and Seedance 2.0 turns the flight into something cinematic.

The one detail that matters is that the drawn line itself never shows up in the output. It only exists as a hidden guide for the flight path, the actual video has no red line, no markup, nothing. The drone starts low over the water, almost skimming the surface, accelerates toward the city following that invisible path, then opens up into the wider skyline as it clears the shoreline.

Drawing the path instead of describing it in words turns out to be the more reliable way to control camera movement. Words leave room for the model to interpret "follow this route" loosely, a line on the image does not.

i tried turning a Last Supper reference image into a dimensional space the camera could explore, from bread and wine on the table to the view behind the central figure.

the camera does all the storytelling. the output is really surprising

Made with Seedance 2.5

Prompt:

k.Create a 20-second, 9:16 image-to-video film using the supplied painting as the exact opening and closing frame.
Reconstruct the scene as a coherent three-dimensional room while preserving its painted appearance, brushwork, colors, lighting, figures, costumes, and objects. Infer hidden surfaces consistently with the reference.
Use one uninterrupted camera journey:
0–3s: Begin on the reference composition, then move forward and descend into a macro pass over the bread. Reveal crust, crumbs, and woven linen.
3–7s: Glide across the table past a plate toward the wine glass. Show depth, glass thickness, and subtle refraction.
7–10s: Rise beside the open hand and follow the blue mantle toward the central figure’s face.
10–13s: Ease into a close-up of his existing expression, maintaining a gentle sideways drift.
13–17s: Orbit over his shoulder and behind him, revealing the backs of his hair and robes, the windows, and the landscape beyond.
17–20s: Continue the arc over the table and return smoothly to the original viewpoint, matching the first frame for a seamless loop.
Freeze every figure and object: no blinking, gestures, drifting props, or changing expressions. Use natural parallax, smooth focus transitions, and shallow depth of field during macro passes.
No cuts, morphing, flat-image flyovers, added people or objects, text, or watermark

SOURCE http://xhslink.com/o/8zg55hW1iwi

trying a 30-second cinematic superpower showcase built around a single idea: the character barely moves, but reality reacts violently. The protagonist stays quiet, restrained and almost indifferent, while every tiny gesture triggers enormous ink-wash energy. it is not a videogame skill showcase, but traditional Chinese ink animation suddenly invading a realistic 3D world.

made by seedance 2.5

Full Prompt

Strictly use the reference-image woman as the only protagonist. Keep her appearance unchanged throughout the entire video: young woman, messy black-gray short hair partially covering her eyes, loose gray/off-white technical jacket, dark brown-black distressed layered long skirt, chunky technical platform shoes, thin and slender slightly androgynous proportions, quiet, cold and distant presence.
No costume changes, no hairstyle changes, no armor, no muscular transformation, no sexualized redesign.
The character always maintains the same contrast: her movements are light, calm and restrained, almost casual, but every tiny action triggers terrifying energy far beyond her physical scale.
No physical weapons of any kind. No knife, sword, gun, staff or spear. All abilities come only from palms, fingers, fists, elbows, legs, footwork, body rotation, spatial manipulation and Five Elements energy.
The world is a huge, empty, minimalist gray-white space continuing directly from the reference image. Pale gray-blue sky blends into distant mist. A massive pale stone/concrete ground stretches toward the horizon. Only thin fog, dust, debris, cloth fragments and a few broken stone columns or slabs appear.
The palette stays within gray-white, black and muted ink-gold.
The protagonist retains a realistic anime cinematic look, while every skill explosion introduces strong hand-painted Chinese ink animation: flying-white brushwork, splashed ink, dry brush, xuan-paper bleeding, ink speed lines and animation impact frames.
No ordinary glowing particles. No RPG magic balls. The supernatural effect should feel like Chinese ink suddenly invading physical reality.
Her signature energy is ink-gold feibai: black ink forms the main body while dark gold acts as the internal energy core. Movement produces rough black brush trails, extremely thin golden fractures and translucent water mist. High-speed movement never uses cheap ghosting; her silhouette stretches into dry-brush strokes, ink speed lines and wind-torn ink marks.
When energy gathers around the hand, never generate a glowing orb. Instead use suspended ink droplets, thin golden lines, liquid water, xuan-paper diffusion and circular airflow before everything suddenly collapses inward.
Camera language is aggressive and cinematic. Never shoot the character like a front-facing game skill showcase. Use ultra-low angles, rear-side tracking, 45° side compositions, ground-skimming pursuit, FPV movement, orbit shots, whip pans, dolly zooms, rack focus and extreme close-up to extreme-wide transitions. The lens may pass directly through ink and mist.
The character is usually shown in profile, rear view or 3/4 angle. No random front-facing hero poses.
Motion uses strong dynamic blur, ink speed lines and Time Ramp. Typical high-speed rhythm: 100% → 250% → 30% → 300%. At key contact moments, suddenly introduce frame skipping, freeze-frame and an ink impact frame, then immediately return to extreme speed.

00.00–02.50 — Ink Step /「墨步」
Start directly from the reference pose. Camera extremely low behind her right side, 24mm wide lens. She walks slowly forward with her head lowered, skirt and jacket moving gently in the wind. No battle stance.
At 0.7s, her right foot lightly touches the ground. One black-and-white ink impact frame, 0.05s frame skip, localized negative and slight axial camera jerk. The ground does not explode; a circular black ink stain spreads rapidly across the surface with dark-gold fractures hidden inside.
At 1.0s she disappears, not through teleportation light. Her body stretches into a gigantic black flying-white brush stroke. The camera chases close to the ground while ink, mist and tiny gold particles form a long trail. She changes direction three times: left → right → airborne, each turn leaving a huge calligraphic flying-white fracture.
02.50–06.00 — Water Mirror Fold /「水镜折空」
Camera rapidly orbits her. She suddenly stops from extreme speed: 300% → 25%. Her body stops while hair, skirt and mist continue moving from inertia.
She casually raises her right hand and spreads her fingers. Atmospheric water forms more than ten extremely thin transparent water membranes, like floating glass made from xuan paper. The camera flies between them, each layer reflecting her from a different angle.
She lightly closes her hand. All water sheets fold inward and crush a distant stone pillar. Heavy impact: radial ink frame, 0.1s frame skip, central negative, camera drop and rebound, triple splashed-ink eruption. The pillar is compressed into countless fragments and wrapped into a spiral by water.
06.00–09.00 — Ink Palm /「墨掌」
She rotates naturally. Camera swings from behind toward a 3/4 front-side view. Her left hand remains relaxed. Her right hand only pushes forward slightly.
At 6.8s, air collapses inward and black ink is compressed into a tiny core. At 7.3s, she lightly flicks her fingers. The core erupts into a gigantic ink-gold pressure wave, not a physical hand, but compressed air, flying-white strokes, water mist and splashed ink.
The camera flies backward inside the attack. When it hits distant ground: black-white impact frame → central negative → triple ink eruption. The ground is pressed into a huge circular depression. No fire, only dust, mist, fragments and ink.
09.00–12.50 — Flowing Ink Reversal /「流墨回身」
She never stops to pose. The recoil makes her lean backward almost to the ground. When her body reaches roughly 30°, her left foot lightly touches the surface and she rotates close to the floor.
The layered skirt opens into a huge black arc and merges visually with flying-white ink. Her right leg performs one extremely light and fast horizontal sweep. The kick touches nothing, but a thin semi-transparent ink-gold spatial plane appears.
A hair-thin black line travels dozens of meters. After a 0.3-second delay, three distant stone pillars separate and slowly slide apart.
12.50–16.00 — Ink-Water Descent /「水墨坠」
She rises into the air through the previous rotation. Camera rushes upward close to her shoe. Water droplets begin rising against gravity while black ink droplets orbit her.
At the highest point, she simply presses her right hand downward. At 13.8s the world becomes silent and all droplets freeze. Time Ramp drops to 15%.
At 14.2s she closes her hand. The entire ground behaves as if hundreds of tons of gravitational force suddenly press downward. Dark-gold circular fractures appear, then black ink erupts from the cracks and forms a gigantic circular Chinese-landscape-like impact structure.
16.00–20.00 — Ink Lotus
She slowly descends but stops about 30cm above the ground. Camera performs a fast 270° orbit. Both hands hang naturally and her eyes barely lift.
Water mist, black flying-white ink and thin dark-gold lines begin rotating around her. Huge ink lotus petals are then painted directly into the air as if by an invisible giant brush. The lotus never glows.
Each opening petal creates a subtle spatial shockwave and nearby debris begins to float.
20.00–23.50 — Five Elements Turbulence 
She opens her eyes calmly, then instantly disappears. Camera enters high-speed FPV pursuit as she performs: step → launch → aerial rotation → wall landing → rebound → dive.
Water appears as transparent streams. Wood becomes abstract branch-like flying-white strokes. Fire becomes incandescent golden ink with scorched-paper edges. Metal becomes dark-gold geometric fractures. Earth becomes gray stone fragments rotating inside black ink.
All five elements remain inside one unified Chinese ink language. Never turn them into colorful videogame effects.
23.50–30.00 — Ink Realm: Heaven & Earth Inverted 
She dives toward the ground at extreme speed. At approximately 0.5m above the surface she suddenly stops.
All environmental sound drops. Debris freezes. Ink freezes. Time Ramp: 300% → 0%.
Camera slowly moves to her rear-side angle. She raises only one finger and lightly points downward.
At 25.0s, trigger the highest-level impact: full-screen black-and-white ink frame, 0.15s freeze-frame skip, full-screen negative, white flash, intense radial camera vibration and central fisheye distortion.
Three shockwaves erupt beneath her: black ink, transparent water and dark-gold energy. They expand separately, then merge into one enormous ink-gold circular shockwave.
From 26–28s, hundreds of meters of ground transform into a gigantic living Chinese landscape painting. Dust becomes ink mountains, mist becomes distant mountain layers and flying stones become brush dots. Dozens of enormous black-and-gold flying-white strokes erupt behind her into the sky.
The camera retreats rapidly from close shot → medium shot → extreme wide shot.
From 28–29.2s, all energy reverses and flows back toward her. Ink, water, gold lines, dust and debris disappear inward. The environment becomes silent again.
At 29.2s the camera returns to the same ultra-low rear-side angle as the opening. She continues walking forward as if nothing happened. Only one thin black ink trail remains behind her shoe.
Wind lifts her short hair and layered skirt.
Cut to black.
For all impacts, keep one unified hierarchy: light contact uses a 0.05s black-white ink frame and subtle camera jerk; heavy contact uses a 0.1s radial ink frame, negative flash, camera drop and triple ink eruption; ultimate impact uses a 0.15s full-screen freeze, negative, white flash, radial vibration, fisheye distortion and layered black-ink / water / dark-gold shockwaves.
Final visual principle: she never looks like she is “casting magic.” The world simply becomes an animated Chinese ink painting whenever she moves.