Generador de vídeo con IA Wan 3.0

Wan 3.0 ofrece movimiento coherente, física realista, vídeos nativos de 30 segundos, renderizado más rápido y control multimodal sobre fotogramas clave y continuación de vídeo. ¡Crea vídeos ilimitados de Wan 3.0 en Pollo AI ahora!

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Por qué crear con Wan 3.0 en Pollo AI:

  • Mayor coherencia temporal: mantiene personajes, objetos y detalles visuales estables incluso en secuencias de vídeo más largas.
  • Simulación de física más realista: reproduce fluidos, telas, colisiones y movimientos de varios objetos con una física más creíble.
  • Generación nativa de vídeo de 30 segundos: crea vídeos de 30 segundos con más espacio narrativo y mayor libertad creativa.
  • Generación de vídeo más rápida: crea vídeos hasta un 40 % más rápido con hardware equivalente.
  • Generación multimodal flexible: genera a partir de texto, imágenes, audio o vídeo, con mayor control sobre la secuencia.
  • Movimiento y sincronización labial guiados por audio: sincroniza los gestos del personaje y el movimiento de los labios con la pista de audio que elijas.

Mayor coherencia temporal

Wan 3.0 mantiene personajes, objetos y detalles visuales más estables en secuencias más largas, con menos distorsión, deriva o efecto de derretimiento entre fotogramas. Crea escenas continuas de personajes, tomas de producto en movimiento y planos de cámara más largos sin que el sujeto se descomponga a mitad de camino.

Crea vídeos ilimitados con Wan 3.0

Da vida a tus historias con generación ilimitada de vídeos con Wan 3.0 en Pollo AI: movimiento coherente, física realista y hasta 30 segundos de libertad creativa.

Consigue Wan 3.0 ilimitado

Simulación de física más realista

Wan 3.0 hace que los fluidos fluyan de forma más natural, que las telas reaccionen de manera más convincente y que varios objetos interactúen con peso e impulso más claros en vídeos de IA. Crea secuencias de acción, visuales de moda, efectos de salpicaduras y movimientos complejos que se sientan realistas en lugar de artificialmente animados.

Vídeo de entrada
Un par de botas de fútbol Nike rosas sobre una caja blanca con fondo rosa.

Prompt

15 s, 16:9. Un chico de pelo rizado rechazado abre unas botas Nike rosas y luego destaca en un partido. Termina con el Swoosh de Nike. VO: «Para quien siempre está listo». Texto: «Just do it.»

Vídeo de salida

¿Quieres crear anuncios de producto pulidos o explorar otros tipos de vídeos de Wan 3.0? Explora nuestros prompts de Wan 3.0 para ver ejemplos detallados de prompt y dar vida a cada idea.

Generación nativa de vídeo de 30 segundos

Wan 3.0 genera de forma nativa vídeos de hasta 30 segundos, dando a cada creación más espacio para transmitir información, desarrollar una narrativa completa y construir relatos visuales más ricos. Crea cortometrajes, historias de producto, contenido de marca y secuencias cinematográficas con mayor libertad creativa y menos clips fragmentados.

Generación de vídeo más rápida

Las optimizaciones de atención hacen que Wan 3.0 sea aproximadamente un 40% más rápido con hardware equivalente, ayudando a los usuarios a pasar del prompt al resultado con menos espera. Prueba más direcciones creativas, perfecciona escenas más rápido y mantén en marcha flujos de trabajo de contenido de gran volumen.

Vídeo de entrada
Un tarro flotante de crema verde con tapa blanca y diseño minimalista.

Prompt

Vídeo UGC de cuidado de la piel de 15 s, aspecto de smartphone en mano, luz diurna. Coincide exactamente con @image1. Primeros planos de aplicación: piel apagada y grasa a piel clara, luminosa, suave y efecto cristal.

Vídeo de salida

Generación multimodal flexible

Wan 3.0 admite entradas de texto, imagen, audio y vídeo para animación del primer fotograma, generación de fotograma inicial y final, y continuación de vídeo. Convierte una imagen fija en movimiento, guía una transición entre dos momentos clave o amplía un clip existente a una secuencia más completa. Esto lo hace especialmente útil para producir vídeos musicales y crear proyectos de formato largo a partir de secuencias conectadas y visualmente consistentes.

PromptImágenes y vídeo de entradaVídeo de salida
Usa solo la gradación de color y el ritmo de cámara de @video1. 9:16, 24fps, 15 s. Un descapotable vintage acelera por la Riviera francesa mientras una mujer con pañuelo viaja junto a un Dior Book Tote. Corte a una villa junto al mar, agua con limón y hielo, terraza al atardecer y logotipo DIOR centrado. Evita desenfoque, marcas de agua y texto desordenado.Logotipo de Dior con letras estilizadas sobre fondo negro.

Movimiento y sincronización labial guiados por audio

Wan 3.0 usa una pista de audio especificada para guiar el movimiento del personaje y sincronizar el movimiento labial con el sonido. Crea clips de diálogo, actuaciones musicales, vídeos de baile y otras escenas guiadas por audio con una sincronización más precisa.

Vídeo de entrada
Un tubo de crema Skin Pure UV con SPF 50+ sobre un fondo azul claro.

Prompt

UGC de baño de 12 s, luz diurna suave, aspecto de cámara en mano. Una mujer presenta y aplica protector solar, destacando su acabado ligero y sin residuo blanco. Sincroniza los gestos y los labios de forma natural con el diálogo.

Vídeo de salida

Casos de uso reales de Wan 3.0

  • Cortometrajes e historias de personajes: Mantén al mismo personaje reconocible en escenas de diálogo, tomas caminando y secuencias narrativas más largas sin cambios evidentes en rostro o vestuario.
  • Campañas de moda y bebidas: Crea vestidos fluidos, telas en movimiento, bebidas sirviéndose, salpicaduras e interacciones de producto con un movimiento más convincente para anuncios y campañas sociales.
  • Vídeos de lanzamiento de producto: Genera primeros planos nítidos en 1080P, vídeos de presentación de producto en 360°, revelaciones de packaging y visuales de marca cinematográficos para páginas de e-commerce, presentaciones y eventos de lanzamiento.
  • Iteración de anuncios sociales: Produce y compara más rápido múltiples ganchos, movimientos de cámara y variaciones de escena al probar anuncios de formato corto para TikTok, Instagram o YouTube.
  • Animación de fotos y extensión de vídeo: Anima un retrato o una imagen de producto, conecta dos fotogramas clave planificados o amplía un clip existente para tráilers, transiciones y ediciones de campaña.

Comparación: Wan 3.0 vs Kling 3.0 vs Sora 2

FunciónWan 3.0Kling 3.0Sora 2
Entradas compatiblesTexto, imagen, audio y vídeoTexto, imágenes, fotogramas inicial/final y referencias de imagen o vídeoEntradas de texto e imagen
Duración del vídeo30 segundos15 segundos25 segundos
Consistencia temporalPersonajes y objetos estables en secuencias más largasMantiene una consistencia razonable entre tomasAdmite generación coherente de múltiples escenas
Simulación de físicaMejora de fluidos, movimiento de telas e interacciones entre múltiples objetosGestiona movimiento común e interacciones de escenaDiseñado para simular movimiento y entornos realistas
Control de generaciónAnimación del primer fotograma, control de fotograma inicial/final y continuación de vídeoStoryboards automáticos o personalizados de múltiples tomas con referencias de elementosPrompts de múltiples tomas, referencias de personajes, edición de vídeo y extensión

Cómo usar Wan 3.0 en Pollo AI

01

Elige Wan 3.0

Abre la página de imagen a vídeo y selecciona el modelo Wan 3.0.

02

Añade tus comentarios

Introduce un prompt o sube una imagen de referencia para crear vídeos.

03

Genera tu vídeo

Selecciona tus ajustes y haz clic en «Generar» para crear tu vídeo Wan 3.0.

Prompts de Wan 3.0

Four-Way Gun Standoff
Four-Way Gun Standoff
VAutorVictorInFocusAUG 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
NAutorNaiknelofar788AUG 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
AAutorAlibaba_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
JAutorjohnAGI168AUG 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
CAutorCrypto_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
AAutorAIwithSynthiaAUG 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

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Liz Cassidy photoRichard Quick photoarmourdude photoMás de 5000 reseñasPuntuación de confianza: 4,4

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Reseñas de TrustpilotOct 15, 2025
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Reseñas de TrustpilotNov 19, 2025
I have been using Pollo AI for short…
I have been using Pollo AI for short videos. It is easy to use and works well with simple prompts. Other generators seem to need long drawn out complicated explanations to get even close to what I want.
Dudu photoDudu
Reseñas de TrustpilotJan 14, 2026
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I'm just amazed by the level of quality output that Pollo AI can produce from a simple image. The motion, the realism, It's too good!!
Ray Warnes photoRay Warnes
Reseñas de TrustpilotDec 30, 2025
A fabulous journey
I find Pollo easy to use, it gives me great results and I'd recommend it to anyone. It has been a wonderful experience for me.
lawless clan photolawless clan
Reseñas de TrustpilotNov 22, 2025
i tried 220 online img to vid in 2…
i tried 220 online img to vid in 2 months, and this is the best online video.I will subscribe for a year; there are many reasons. But freedom is the most important.

Preguntas frecuentes

¿Qué es Wan 3.0?

Wan 3.0 es un modelo de vídeo multimodal basado en IA que genera vídeos a partir de texto, imágenes, audio o grabaciones existentes. Se centra en una mayor coherencia temporal, una física realista, salida nativa en 1080p y un control de vídeo más flexible.

¿Qué tipos de vídeos puede crear Wan 3.0?

Wan 3.0 permite crear historias de personajes, vídeos de productos, campañas de moda, escenas de acción, vídeos hablados y contenido cinematográfico para redes sociales. Sus entradas multimodales también lo hacen adecuado tanto para las nuevas generaciones como para los flujos de trabajo de recursos existentes.

¿Podrá Wan 3.0 mantener la coherencia de los personajes en vídeos más largos?

Wan 3.0 está diseñado para preservar la identidad de los personajes y objetos de forma más fiable en secuencias largas. Esto ayuda a reducir la distorsión facial, los cambios en los detalles de la ropa y la deformación de los sujetos a mitad de una toma.

¿Cómo puedo mejorar la coherencia de los personajes en los vídeos de Wan 3.0?

Utilice una imagen de referencia clara, evite cambiar la descripción del personaje entre las indicaciones y mantenga la coherencia en la ropa, el peinado y la dirección de la cámara. Las transiciones de escena más sencillas también reducen la confusión de identidad.

¿Puede Wan 3.0 extender un vídeo existente?

Sí. Su función de continuación de vídeo permite extender las grabaciones existentes manteniendo el sujeto, el escenario y la dirección de movimiento originales, lo que resulta útil para ediciones más largas, transiciones y variaciones de campañas.

¿Puedo usar Wan 3.0 gratis en Pollo AI?

Sí. Puedes empezar con créditos gratuitos en Pollo AI para probar el generador de vídeo Wan 3.0 AI. Para un mayor volumen de uso, un procesamiento más rápido o resultados sin marca de agua, es posible que necesites un plan de pago.

Empieza a crear con Wan 3.0 hoy

Crea vídeos de 30 segundos con física realista, entradas multimodales y movimiento sincronizado con el audio con Wan 3.0.