Be the “Audio-Visual Director” and lock the shot with a single prompt
Unleash Your Creativity with SeaArt SonoVision!
It generates picture and sound as one living stream: speech comes with matching lip‑sync, footsteps land on beat, splashes hit right on cue, and even a 10‑second long take can tell a mini story smoothly.
Why SonoVision
let the model handle the complexity so you can focus on ideas
● The biggest creative edge: perfectly synced audio and video, realistic and stable results
● Traditional pipelines do “video first, audio later, then glue them together,” which often leads to off‑beat rhythms or mismatched lip‑sync.
● SonoVision lets audio and video “talk” to each other during generation, so lips, footsteps, impacts, and door sounds align precisely with on‑screen actions.
● Temporal consistency: stable textures across frames with no flicker or random jitter; smooth motion that delivers production‑grade quality.
● Controllable vocal emotion: supports “emotion + intensity” (e.g., happy 0.8, calm 0.4) for more nuanced voice performance.
Precision creative control: direct the AI like a filmmaker
● Supports script‑style long prompts so you can specify visuals, actions, music, and sound effects in one go.
● Structured layers (subject/action/style/environment/camera movement) with weights to lock critical elements and prevent drift.
● Negative prompts (e.g., blurry, low quality audio, background noise) significantly improve success rates.
Quick mindset: one prompt is enough—if it’s layered
● Prompt formula: Prompt = Subject + Scene + Motion + Sound Description (Voice/SFX/BGM)
● The sound triad:
● Voice = content + emotion + intonation + pace + timbre + accent + emotion intensity
● SFX = source material + action + distance/environment
● BGM = genre + BPM + mood + impact timing
● Aspect ratio and duration are set on the page, not in the prompt.
Two generation modes
● Text‑to‑Video: specify who does what, where, how it moves, and how it sounds—concretely.

● Image‑to‑Video: the image already defines subject/scene/style; focus your prompt on “change and rhythm” (motion + sound).
Director’s mini‑lexicon (simple and effective)
● Angles: low‑angle / bird’s‑eye / eye level
● Motion: follow / push‑pull / orbit / pan / slow motion
● Lighting: backlit / rim light / lens flare
● Sound rhythm: BPM, where the hit/beat lands or where to leave silence
Structured template (with weights and negatives)
[Subject w=high]:
[Scene w=medium]:
[Motion w=high]:
[Voice]:"…" emotion= , intensity=0.x, intonation= , pace= , timbre= , accent=
[SFX]: {material + action + distance/environment}, multilayer allowed
[BGM]: genre + BPM + mood + impact/silence at Xs
[Negative]: blurry, low quality audio, background noise, unnatural motion, color flicker
Ready‑to‑use sample prompts (edit to fit)
Note: These are text‑to‑video. For image‑to‑video, trim repeated “subject/scene” and keep “motion + sound.”
1) Motion test · Underwater butterfly stroke (tight A/V sync)
[Subject] Female swimmer doing an underwater butterfly stroke, black goggles and cap
[Scene] Clear pool; sunlight beams cut through the water into silver flecks
[Motion] Close follow → slow push to facial close‑up; splashes graze the lens edge
[Voice] “Every stroke is a race against my heartbeat.” emotion=focused, intensity=0.7, intonation=firm, pace=medium, timbre=bright female, accent=Mandarin
[SFX] Water resistance roar + bubbles popping right by the ears; env=light pool reverb
[BGM] Electronic, 96 BPM; kick strengthens at 3s, aligned with stroke frequency
[Negative] blurry, color flicker, background noise
2) A/V sync · ASMR pasta‑loving chef cat (let the sound lead)
[Subject] Silver tabby in a tiny chef hat, paws lifting noodles
[Scene] Warm kitchen tabletop close‑up
[Motion] Locked close‑up → ultra‑close as noodles snap back into the mouth
[Voice] “Tonight’s flavor is called satisfied.” emotion=soothing, intensity=0.5, intonation=whispery, pace=slow, timbre=soft female
[SFX] Fork scraping porcelain + noodle slurp + gentle ceramic clink; env=very light clock ticks
[BGM] None or ultra‑light lo‑fi, 72 BPM, leaving space for chewing sounds
[Negative] low quality audio, reverb excessive
3) Camera test · Cat skydiving (playful immediacy)
[Subject] Gray tabby cat tandem with a pro skydiver, big eyes staring into the lens
[Scene] Clouds underfoot at 10,000 meters; sunlight glints on safety straps
[Motion] Helmet POV with slight wide angle → gentle 360° roll → stable descent
[Voice] “First time living next door to the wind.” emotion=cheeky, intensity=0.7, intonation=upbeat, pace=medium, timbre=boyish
[SFX] Roaring wind close by + harness click + line friction as the chute deploys
[BGM] Pop Rock, 128 BPM; chorus hits at 3s for an adrenaline lift
AND MORE
4)human fingertip touches a 2D ink drawing of a campfire on an old book page; the illustration lifts into a tiny, living 3D campfire on the paper.
Ultra‑photorealistic 8K cinematic macro; a cozy study with warm, intimate lighting; an open vintage survival guide; aged, textured paper and surrounding printed text.
Open on the page → finger enters frame and taps the drawing’s center → a spark ignites; ink lines smolder → the 2D sketch rises off the page, gaining 3D volume and texture → realistic flames erupt, paper at the base subtly browns and curls → final hold on a miniature campfire casting dynamic shadows; tiny embers drift up and a delicate wisp of smoke rises.
Fingertip brushing paper, ignition spark, gentle smolder; realistic wood crackle and ember pops; subtle paper curl; faint room tone; soft smoke hiss.
5)A photorealistic chimpanzee in a white cotton bathrobe with a hand‑folded towel on his head, recording into a vintage high‑quality microphone, facing a sleek mirror.
Tiny minimalist Japanese bathroom; two lit aromatherapy candles on a floating shelf; serene tub with gentle bubbling water; a minimalist rubber duck floating; warm yellow light with light mist.
Slow zoom to a calm, wise face → eyes closed for a deep, almost inaudible breath → at 1.5s he opens his eyes, makes soft eye contact → gestures toward the candles → whispers into the mic: “Welcome, my friends, to pure tranquility.” → raises a minimalist ceramic cup, slow deliberate sip with a delicate slurp → sets it down with a soft clink → closes eyes again with a serene smile; background elements keep subtly moving.
"Welcome, my friends, to pure tranquility." emotion=gentle/calm, intensity=0.5, intonation=whispery, pace=slow, timbre=deep resonant baritone, accent=neutral
Near‑field breath, intimate whisper on vintage mic; tea slurp; cup‑to‑ceramic clink; candle flame flicker; soft water bubbling; faint towel/robe rustle; quiet room tone.
6) A pair of white delicate gloved hands holding a medium durian whose spikes feel soft; inside are raw rubies, sapphires, emeralds, and brilliant‑cut diamonds.
Super‑realistic 8K extreme close‑up; shallow depth of field with elegant bokeh; gems spill onto a velvet cloth; clean ASMR setup with no distractions.
Top‑down macro → hands press and gently squeeze; a soft, nearly imperceptible creak → at ~2s slightly more pressure; a gentle POP → the durian opens and a cascade of sparkling gemstones pours onto velvet → hands sift through, then carefully arrange a few key stones for a value‑hinting close‑up.
Subtle glove‑on‑shell creak, gentle POP of opening; gems raining and tinkling on velvet; soft cloth rustle; occasional gem roll; close to mid distance.
Nail the controllability
● Tighter lip‑sync: write short lines; commas = pauses; add emphasis cue words like “just/only/right now” for strong beats.
● Give BPM a plot: specify the exact second for impact/silence so hits, landings, and splashes lock to the groove.
● Layers & weights: set high weights for subject/style/motion, medium/low for environment/effects for better stability.
● Use negative prompts to boost success: explicitly tell the model what you don’t want (e.g., low quality audio, blurry, background noise). Pre‑filtering errors dramatically reduces failed generations and gets you to a good result faster.














