Generatore video AI Wan 3.0

Wan 3.0 offre movimento coerente, fisica realistica, video nativi di 30 secondi, rendering più veloce e controllo multimodale su fotogrammi chiave e continuazione video. Crea ora video illimitati di Wan 3.0 su Pollo AI!

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Perché creare con Wan 3.0 su Pollo AI:

  • Maggiore coerenza temporale: Mantieni personaggi, oggetti e dettagli visivi stabili in sequenze video più lunghe.
  • Simulazione fisica più realistica: Renderizza fluidi, tessuti, collisioni e movimento multi-oggetto con una fisica più credibile.
  • Generazione video nativa da 30 secondi: Genera video da 30 secondi con una narrazione più ricca e maggiore libertà creativa.
  • Generazione video più veloce: Crea video circa il 40% più velocemente su hardware equivalente.
  • Generazione multimodale flessibile: Genera da testo, immagini, audio o video con un controllo flessibile della sequenza.
  • Movimento guidato dall’audio e lip sync: Sincronizza il movimento del personaggio e delle labbra con una traccia audio specificata.

Maggiore coerenza temporale

Wan 3.0 mantiene personaggi, oggetti e dettagli visivi più stabili nelle sequenze più lunghe, con meno distorsioni, deriva o effetto scioglimento tra i frame. Crea scene continue con personaggi, inquadrature di prodotto in movimento e riprese di camera più lunghe senza che il soggetto si rovini a metà.

Crea ora video Wan 3.0 illimitati

Dai vita alle tue storie con la creazione illimitata di video Wan 3.0 su Pollo AI, con movimento coerente, fisica realistica e fino a 30 secondi di libertà creativa.

Ottieni Wan 3.0 illimitato

Simulazione fisica più realistica

Wan 3.0 fa scorrere i fluidi in modo più naturale, rende i tessuti più convincenti e permette a più oggetti di interagire con peso e slancio più chiari nei video AI. Crea sequenze d’azione, visual fashion, effetti splash e movimenti complessi che sembrano realistici invece che artificialmente animati.

Video di input
Un paio di scarpe da calcio Nike rosa su una scatola bianca su sfondo rosa.

prompt

15s, 16:9. Un ragazzo riccio rifiutato apre delle scarpe Nike rosa, poi eccelle in una partita. Concludi con lo Swoosh Nike. VO: “Per chi è sempre pronto.” Testo: “Just do it.”

Video di output

Vuoi creare annunci prodotto curati o esplorare altri tipi di video Wan 3.0? Sfoglia i nostri prompt Wan 3.0 per vedere esempi di prompt dettagliati e dare vita a ogni idea.

Generazione video nativa da 30 secondi

Wan 3.0 genera nativamente video fino a 30 secondi, dando a ogni creazione più spazio per trasmettere informazioni, sviluppare passaggi narrativi completi e costruire narrazioni visive più ricche. Crea cortometraggi, storie di prodotto, contenuti brandizzati e sequenze cinematografiche con maggiore libertà creativa e meno clip frammentate.

Generazione video più veloce

Le ottimizzazioni dell’attenzione rendono Wan 3.0 circa il 40% più veloce su hardware equivalente, aiutando gli utenti a passare dal prompt al risultato con meno attesa. Testa più direzioni creative, rifinisci le scene più rapidamente e mantieni fluidi i workflow di contenuti ad alto volume.

Video di input
Un vasetto di crema verde sospeso con coperchio bianco e design minimalista.

prompt

Video UGC skincare da 15s, look smartphone a mano, luce diurna. Corrispondi esattamente a @image1. Close-up di applicazione: pelle spenta e oleosa verso pelle pulita, luminosa, liscia, effetto glass skin.

Video di output

Generazione multimodale flessibile

Wan 3.0 supporta input di testo, immagine, audio e video per animazione del primo frame, generazione frame iniziale/finale e continuazione video. Trasforma un’immagine statica in movimento, guida una transizione tra due momenti chiave o estendi una clip esistente in una sequenza più completa. Questo lo rende particolarmente utile per produrre video musicali e creare progetti long-form da sequenze collegate e visivamente coerenti.

promptImmagini e video di inputVideo di output
Usa solo il color grading e il ritmo di camera di @video1. 9:16, 24fps, 15s. Una cabriolet vintage sfreccia lungo la Riviera francese mentre una donna con foulard viaggia accanto a una Dior Book Tote. Taglio su una villa sul mare, acqua fredda al limone, terrazza al tramonto e logo DIOR centrato. Evita sfocature, watermark e testo disordinato.Logo Dior con lettere stilizzate su sfondo nero.

Movimento guidato dall’audio e lip sync

Wan 3.0 usa una traccia audio specificata per guidare il movimento del personaggio e sincronizzare il movimento labiale con il suono. Crea clip di dialogo, performance musicali, video di danza e altre scene guidate dall’audio con timing più preciso.

Video di input
Un tubetto di crema Skin Pure UV con SPF 50+ su sfondo azzurro chiaro.

prompt

UGC bagno da 12s, luce diurna morbida, look handheld. Una donna presenta e applica la protezione solare, elogiando la finitura leggera senza effetto bianco. Sincronizza gesti e labbra in modo naturale con il dialogo.

Video di output

Casi d’uso reali di Wan 3.0

  • Cortometraggi e storie di personaggi: Mantieni lo stesso personaggio riconoscibile in scene di dialogo, riprese in camminata e sequenze narrative più lunghe senza cambiamenti evidenti del volto o dell’abbigliamento.
  • Campagne fashion e beverage: Crea abiti fluenti, tessuti in movimento, bevande versate, schizzi e interazioni prodotto con movimenti più convincenti per ads e campagne social.
  • Video di lancio prodotto: Genera close-up nitidi in 1080P, video showcase prodotto a 360°, reveal del packaging e visual brand cinematografici per pagine e-commerce, presentazioni ed eventi di lancio.
  • Iterazione ads social: Produci e confronta più rapidamente hook, movimenti di camera e variazioni di scena durante i test di ads short-form per TikTok, Instagram o YouTube.
  • Animazione foto ed estensione video: Anima un ritratto o un’immagine prodotto, collega due keyframe pianificati oppure estendi una clip esistente per trailer, transizioni ed editing di campagna.

Confronto: Wan 3.0 vs Kling 3.0 vs Sora 2

FunzionalitàWan 3.0Kling 3.0Sora 2
Input supportatiTesto, immagine, audio e videoTesto, immagini, frame iniziali/finali e riferimenti immagine o videoInput testuali e immagini
Durata video30 secondi15 secondi25 secondi
Coerenza temporalePersonaggi e oggetti stabili in sequenze più lungheMantiene una coerenza ragionevole tra le inquadratureSupporta generazione coerente multi-scena
Simulazione fisicaFluidi, movimento dei tessuti e interazioni multi-oggetto miglioratiGestisce movimenti comuni e interazioni di scenaProgettato per simulare movimenti e ambienti realistici
Controllo della generazioneAnimazione del primo frame, controllo frame iniziale/finale e continuazione videoStoryboard multi-inquadratura automatici o personalizzati con riferimenti agli elementiPrompting multi-inquadratura, riferimenti dei personaggi, editing video ed estensione

Come utilizzare WAN 3.0 su Pollo AI

01

Scegli WAN 3.0

Apri lapagina da immagine a videoe seleziona il modello Wan 3.0.

02

Aggiungi i tuoi contributi

Inserisci un prompt o carica un'immagine di riferimento per creare video.

03

Genera il tuo video

Seleziona le impostazioni e fai clic su "Genera" per creare il tuo video WAN 3.0.

Prompt di Wan 3.0

Four-Way Gun Standoff
Four-Way Gun Standoff
VAutoreVictorInFocusAUG 13, 2026

All four men are armed. Performances are restrained, dry and quietly tense, with subtle micro-expressions. BEAT 1 Quick individual shots of each man holding his gun and staring at someone just outside frame. Small eye movements, tightened jaws, slow blinks, controlled breathing. Each man is trying to look completely unfazed. Cut between them, gradually suggesting they are all aiming at one another. BEAT 2 Cut wide to reveal all four men several metres apart in a loose circle, each pointing his gun at another man in a four-way standoff. Hold the wide shot. Wind lightly moves their suits. Nobody lowers their weapon. The man in the cream suit glances around the circle. CREAM SUIT, completely calm in a British accent: “Anyone care to explain how we got here?” A brief silence. The older man in pink barely shifts his expression. OLDER MAN IN PINK, dry in an American accent: “Bad manners, mostly.” BEAT 3 Hold on the group. A tiny smirk. A raised eyebrow. Eyes flick between faces and guns. One man subtly adjusts his grip. Slow, almost imperceptible push toward the group as the silence becomes uncomfortable. Nobody fires. Cut just as it feels like someone is about to.

Ultra-Realistic Candid Korean Woman Bedroom Video
Ultra-Realistic Candid Korean Woman Bedroom Video
NAutoreNaiknelofar788AUG 09, 2026

Create a 30-second ultra-realistic multi-shot candid observational video of a young Korean woman relaxing naturally in her bedroom. Use multiple distinct shots and camera angles, not a single continuous take. The footage should feel like an accidentally captured real-life moment. STYLE: Handheld documentary realism, imperfect framing, subtle camera shake, gentle exposure breathing, autofocus settling slightly late, realistic skin texture, soft natural indoor light and shallow depth of field. Natural blinking, breathing, body movement and restrained authentic expressions. No posing, glossy commercial look or cinematic perfection. SUBJECT: A naturally beautiful young Korean woman in her early 20s with long dark hair. She wears a matching cotton pajama set: scoop-neck sleeveless top and loose shorts. Barefoot, minimal makeup, realistic skin texture. SETTING: A lived-in, slightly messy bedroom with an unmade bed, soft bedding and everyday personal belongings. She relaxes on her stomach across the bed while browsing a shopping page on a black smartphone. A house cat interacts naturally with her. SHOT 1 — 0–4s: She lies on her stomach, casually scrolling through a shopping page. She frowns slightly, then mutters in Korean: "아, 뭐 살랬더라..." ("Ah... what was I going to buy again?"). Natural Korean lip sync. Her bare feet gently sway behind her. A low handheld camera glides beside the mattress. SHOT 2 — 4–8s: A house cat jumps onto the bed, compressing the blanket and walking toward her arm. It gives one natural meow. The camera reacts with a tiny jolt, then reframes toward her face, hands and cat. SHOT 3 — 8–12s: She turns toward the cat and gently strokes it from forehead to shoulders. She affectionately says: "우리 애기 왔어?" ("Did my baby come?"). Accurate lip sync. The camera pushes closer through the cat's softly blurred foreground. SHOT 4 — 12–16s: Her friend's ringtone sounds. She looks down, checks the caller, swipes to answer and brings the phone to her ear. The camera makes a loose semicircular movement from a slightly tilted overhead angle. SHOT 5 — 16–21s: Her friend talks. She listens with a confused expression, then reacts: "어, 왜? 진짜 거짓말!" ("Huh? Why? No way, you're kidding."). She immediately bursts into genuine laughter. The cat kneads the blanket beside her. A close handheld side angle captures her profile and phone. SHOT 6 — 21–25s: A clear doorbell interrupts her laughter. She and the cat turn toward the bedroom door. She pauses, realizing her food has arrived, braces one hand on the mattress and begins getting up. The camera reacts slightly late before correcting back to her movement. SHOT 7 — 25–30s: Still holding the phone, she says in Korean: "어, 나 밥 왔다. 끊어." ("Oh, my food's here. I'll hang up."). She ends the call, gets off the bed and walks toward the door. The cat follows across the blankets. The camera tilts upward as she stands, ending with a natural handheld follow toward the doorway. AUDIO: No music. Raw realistic production sound: quiet breathing, bedding rustling, finger taps, cat movement, meow, faint purring, ringtone, call connection tone, muffled friend voice, accurate Korean dialogue and lip sync, genuine laughter, doorbell and call-ending tap. IMPORTANT: No subtitles, captions, logos, watermark or on-screen text. No duplicated subjects, slow motion, exaggerated acting or perfect stabilization. Keep movements spontaneous and observational. Maintain the same woman, outfit, hairstyle, bedroom and cat throughout. DURATION: 30 SECONDS ASPECT RATIO: 16:9 TOTAL SHOTS: 7

Doorway to a Magic Street
AAutoreAlibaba_WanAUG 07, 2026

分段1[0-5秒]:一个连续的、照片级写实的电影镜头。在 图2的现代公寓玄关内, 图1的儿童以斜侧身位站在画面中央,面对镜头微笑并做出自然的招手动作,示意观众跟上,右脸颊浮现浅浅的酒窝。随后他放下手臂,身体流畅地向左后方转身<脚步踩在木地板上的两声轻响>,他背对镜头走向前方的木纹入户门,伸出左手握住黑色电子锁把手转动<咔哒机械解锁声>,缓慢地将门向内打开。在这段前半部分摄影机保持完全静止,角色的外貌和服装保持一致,动作自然流畅,门的结构和材质呈现真实质感。柔和的室内顶光均匀照亮米色墙壁和浅棕色木地板,无硬切或突兀的场景转换。分段2[5-10秒]:从上一分段的最后一帧无缝衔接,角色、服装、公寓玄关和机位保持完全一致。角色将门完全打开,一股暖黄色的、夹带着潮湿气息的光线从门外涌入。门外是 图3 的魔法街巷世界——一条湿漉漉的鹅卵石窄巷向纵深延伸,两侧是高耸的哥特式尖顶建筑,锻铁招牌从墙面伸出,暖橙色的煤气灯笼照亮每一扇橱窗,远处一座尖塔在灰蓝色暮云中若隐若现,屋顶烟囱冒着白烟<远处隐约的钟声>。构图设计、摄影机角度、空间距离以及玄关与街巷两个空间层次之间的关系保持一致,门外的所有环境都是魔法街巷世界。他在门口稍作停顿,回头越过左肩再次看向镜头,脸上的微笑从轻松转为带着好奇的兴奋。当镜头越过门槛时光线和氛围从室内明亮暖木色调变化为街巷湿冷的暖橙灯光与灰蓝暮色交织,但空间和照明在物理上保持自然且连续(低沉的大提琴旋律缓缓响起,间杂竖琴拨弦)。无硬切或突兀的场景转换。分段3[10-15秒]:从上一分段的最后一帧无缝衔接,镜头此刻已穿过门框进入魔法街巷世界。他转身迈步踏上湿漉漉的鹅卵石路面<皮鞋踩在湿石板上的清脆回响>,镜头以稳定的跟拍轨迹从身后平滑跟随,持续穿过门洞进入窄巷深处。他的身影在两侧高耸建筑之间缓步前行,他的灰色毛衣和深色长裤被两侧橱窗透出的暖光交替照亮,路面积水倒映着头顶灯笼和建筑轮廓,远处尖塔越来越清晰。最终镜头落幅于一个纵深全景画面,将他行走在灯火通明的魔法窄巷中的背影置于湿漉石路与哥特尖塔的正中心(大提琴与竖琴在此交织达到沉稳而神秘的高点)。全程无硬切或突兀的场景转换。写实与暗黑奇幻无缝过渡质感,高清锐利画面,玄关暖木低饱和色调渐变为街巷暖橙灯光与灰蓝暮色交织的高对比暗调。

Authentic Cycling Vlog: Post-rain Mountain Road
Authentic Cycling Vlog: Post-rain Mountain Road
JAutorejohnAGI168AUG 08, 2026

【Style】Authentic Cycling Vlog, action cam + phone front camera + tracking shots, 4K Photorealistic, overcast soft light, sweaty skin with real pores, no beauty filters, vertical 9:16. 【Duration】30 seconds 【Scene】Winding mountain road after rain, wet asphalt with a shiny sheen, metal guardrails on the side, moving clouds and mist over distant mountains, water droplets on roadside plants. 【Character】Female cyclist, white road helmet, blue mirrored cycling glasses, dark grey short-sleeve cycling jersey (cityscape print on chest, full zipper, black action cam remote clipped below collar), burgundy cycling shorts (two white stitches on side seams), pink sports watch, black carbon fiber road bike, black deep-rim wheels. 【Glasses Rule】Glasses are worn only during full-speed riding shots (Shot 2, Shot 5, Shot 6); for parking and selfie shots (Shot 1, Shot 3, Shot 4, Shot 7, Shot 8), glasses must be perched on the helmet forehead, leaving the face and eyes fully exposed. 【Global Constraints】Same cycling kit and helmet throughout, no outfit changes; sweat volume increases over time, no regression; hands must always be on the handlebars or phone while moving, no 'third hand'; no other cyclists in the frame. [00:00-00:04] Shot 1: Ground-level Low Angle Start Extremely low angle near the ground, wet asphalt at the bottom edge. She is stopped by the roadside with one foot down, glasses on her helmet, face fully visible, looking down at the camera with a smile. Action: She raises both hands to pull the glasses down over her eyes, then hands return to the bars, foot clips into the pedal with a 'click', crank turns, chain engages, front wheel rolls through a small puddle, splashing water to the sides. The camera follows the wheel slightly. SFX: Pedal clipping, chain engaging, tire splashing. [00:04-00:08] Shot 2: Car-to-car Side Tracking Side tracking shot moving at the same speed, full body in frame. She lowers her torso, hands on the drops, back flat, knees pumping, blue mirrored glasses on. Background guardrails and misty mountains blur past. Detail: First layer of sweat on temples, a small dark sweat patch appearing on the back seam of the jersey. [00:08-00:12] Shot 3: Roadside Selfie (Front Camera Selfie POV) Phone front camera perspective, slight wide-angle distortion. She is stopped, one foot down, pushes glasses back to the helmet first, then holds the phone. Action: She grins at the camera, panting, says something, shoulders rising with breath. She turns the phone to show the curve and misty mountains, then back to her face. Detail: Sweat sheen on forehead and nose, eyes clearly visible, hair stuck to face by sweat. Realistic handheld shake and wind noise. [00:12-00:16] Shot 4: 360 Action Cam / Invisible Selfie Stick 360 action cam effect, slight fisheye, selfie stick invisible. She is still stopped, glasses on helmet. Camera orbits her and the bike 360 degrees. Visuals: Face/helmet top -> wet road/guardrail -> bike rear -> misty valley -> back to face. Action: She looks at the camera and makes a 'let's go' gesture. Detail: Fine sweat beads on arms, sweat stain inside the watch strap. [00:16-00:20] Shot 5: Uphill Breathing Close-up (Handheld Close-up / Uphill) Side close-up of face and shoulders. Steep incline, glasses back on, pedaling slow and heavy. Action: She stands up to climb (dancing on pedals), gripping bars tight, torso swaying, mouth open for air, neck veins visible. A drop of sweat slides from temple to jaw and is blown away. Detail: Jersey front and back soaked dark, helmet straps wet, slight fogging on the lower edge of the glasses. [00:20-00:23] Shot 6: Downhill POV (Handlebar POV / First-person) Handlebar-mounted camera. Shows black bars, tape, computer screen, and her hands. Action: Descending fast into a curve, leaning left, guardrails and trees flying by, splashing through a puddle. Fingers pull the brake levers, then release. SFX: Loud wind noise, high-speed vibration. [00:23-00:27] Shot 7: Wiping Sweat at Finish (Static Medium Shot) Static medium shot. She leans the bike on the guardrail, dismounts, takes off the helmet (glasses attached), and wipes her sweaty bangs back. Action: She drinks deeply from a water bottle, water spills from the corner of her mouth, she wipes her chin with the back of her hand and exhales deeply. Detail: Helmet hair, flushed face, pressure marks from glasses around eyes, sweat lines on neck and collarbone. [00:27-00:30] Shot 8: Ending Peace Sign (Low Angle Pull-back) Low angle looking up, helmet back on, glasses on forehead. She stands by the bike, one hand on the saddle, the other giving a peace sign, smiling while still panting. Misty valley behind her. Action: Camera slowly pulls back and down, she and the bike shrink into the lower third of the frame as mist rises behind her. SFX: Chain sounds, heavy breathing, wind noise, no music, ending with just wind and breath.

Ultra-Realistic Bigfoot Found Footage Sighting
Ultra-Realistic Bigfoot Found Footage Sighting
CAutoreCrypto_QianXunAUG 10, 2026

Ultra-realistic amateur forest creature sighting footage. Cheap handheld camera effect, low-quality visuals, unstable zoom, autofocus failure, heavy digital noise, compression artifacts, shaky framing, heavy breathing captured by the microphone, accidental overexposure between trees, raw mockumentary style. No polished cinematic quality. Only one invisible cameraman, a terrified hiker breathing heavily behind the lens. A massive Bigfoot-style woodland creature: tall and burly, covered in dark hair, human-like posture, heavy natural movements, never cartoonish. Dense forest daytime scene, uneven ground, wet fallen leaves, tree trunks, misty depth, broken branches, natural deep shadows. Authentic low-end camera texture, believable forest sound effects, realistic creature anatomy, limited but clear exposure, unstable autofocus, strong viral effect, natural motion, horror realism, no comedy, no digital polish. 0-5s: Shaky handheld POV - camera moves through the forest, loud breathing, branches hitting the lens. The cameraman whispers in French: "Attends… attends… c'est quoi ça là-bas?" The image struggles to focus between trees. 5-10s: Chaotic zoom - through the trees, a massive hairy creature looms in the distance, half-hidden behind a trunk. The cameraman mutters: "Non… non… c'est pas possible…" The creature slowly steps into a small patch of light. 10-15s: Unstable advance and panicked reframing - the Bigfoot creature turns toward the camera. Only one second of clear footage: massive shoulders, long arms, wet dark fur, heavy breathing. The cameraman gasps: "Oh mon Dieu…" 15-20s: Violent shaking, partial frame loss - the creature suddenly lets out a deep roar and takes two quick steps toward the camera. The cameraman panics, stumbles backward, and the camera falls toward the ground. The final frame captures the creature rushing through the woods before cutting to black.

UGC Luxury Sunglasses Review
UGC Luxury Sunglasses Review
AAutoreAIwithSynthiaAUG 09, 2026

Use the uploaded reference image as the exact character reference. Preserve her facial identity, hairstyle, eye color, makeup, skin tone, body proportions, white sleeveless fitted top, light blue wide-leg jeans, pearl choker, rings, and bracelets consistently throughout the video. Use the uploaded sunglasses, retail box, and leather carrying case as locked product references. Maintain perfect product consistency, including the frame shape, lenses, hinges, colors, materials, and proportions. Create an ultra-realistic UGC luxury creator review filmed inside a modern luxury bedroom with warm golden-hour sunlight, soft natural shadows, and a premium lifestyle aesthetic. The camera feels like a handheld smartphone with subtle natural movement while maintaining cinematic commercial quality. The video begins with the woman sitting on the bed beside the retail box and leather case. Smiling at the camera, she says, "I genuinely wasn't expecting to love these this much." She picks up the box, opens it naturally, reveals the leather case, then slowly removes the sunglasses while continuing, "The packaging already feels incredibly premium." She rotates the sunglasses slowly in front of the camera, showing the frame, hinges, and lenses as natural reflections glide across the surface. She smiles and says, "The finish feels amazing, and they're incredibly lightweight." She puts on the sunglasses, stands up, and walks toward a large full-length mirror. Looking at her reflection, she adjusts the frame naturally and says, "Honestly... they look so good, and they're really comfortable on the eyes, even in bright sunlight." She turns slightly left and right so the sunglasses catch the sunlight from different angles before removing them with a smile. Walking back to the bed, she places the sunglasses beside the leather case and retail box, then picks them up one last time and holds them beside her face. Looking directly into the camera, she smiles warmly and says, "Definitely one of my favorite accessories this year." The camera slowly pushes in on the sunglasses before fading out. Ultra-realistic UGC fashion content, authentic creator review, cinematic handheld smartphone movement, luxury bedroom, macro product cinematography, realistic reflections, detailed frame textures, expressive facial animation, perfect lip sync, shallow depth of field, premium color grading, 4K HDR, 16:9, no subtitles, no logos, no watermarks, no on-screen text on it

Esplora altri modelli di intelligenza artificiale Seedance

Sony
Mercedes-Benz
Coca-Cola
Microsoft
Nike
P&G
Lancôme
Zoom
Liz Cassidy photoRichard Quick photoarmourdude photoOltre 5000 recensioniPunteggio di affidabilità: 4,4

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Domande frequenti

Che cos'è WAN 3.0?

Wan 3.0 è un modello video multimodale basato sull'intelligenza artificiale che genera video a partire da testo, immagini, audio o filmati preesistenti. Si concentra su una maggiore coerenza temporale, una fisica realistica, un output nativo a 1080p e un controllo video più flessibile.

Che tipo di video si possono creare con WAN 3.0?

Wan 3.0 permette di creare storie di personaggi, video di prodotto, campagne di moda, scene d'azione, video parlati e contenuti social di qualità cinematografica. I suoi input multimodali lo rendono adatto sia alle nuove generazioni di software che ai flussi di lavoro esistenti.

Riuscirà WAN 3.0 a mantenere la coerenza dei personaggi in video di lunga durata?

Wan 3.0 è progettato per preservare in modo più affidabile l'identità di personaggi e oggetti in sequenze più lunghe. Questo aiuta a ridurre la deriva facciale, i cambiamenti nei dettagli degli abiti e le deformazioni dei soggetti a metà di una ripresa.

Come posso migliorare la coerenza dei personaggi nei video Wan 3.0?

Utilizza un'immagine di riferimento chiara, evita di modificare la descrizione del personaggio tra una richiesta e l'altra e mantieni uniformi abbigliamento, acconciatura e inquadratura. Anche le transizioni di scena più semplici riducono il rischio di perdere l'identità del personaggio.

È possibile estendere un video esistente tramite WAN 3.0?

Sì. La sua funzionalità di continuazione video consente di estendere le riprese esistenti mantenendo il soggetto, l'ambientazione e la direzione del movimento originali, risultando utile per montaggi più lunghi, transizioni e varianti di campagne pubblicitarie.

Posso utilizzare WAN 3.0 gratuitamente su Pollo AI?

Sì. Puoi iniziare con crediti gratuiti su Pollo AI per provare il generatore di video AI Wan 3.0. Un utilizzo più intensivo, un'elaborazione più rapida o risultati senza watermark potrebbero richiedere un piano a pagamento.

Inizia a creare con Wan 3.0 oggi

Crea video di 30 secondi con fisica realistica, input multimodali e movimento sincronizzato con l'audio con Wan 3.0.