Wan 2.6: vídeos de IA de 15s com coerência cinematográfica e sincronização labial perfeita.
O modelo de vídeo de próxima geração da Alibaba — prompts mais inteligentes, sincronização de áudio aprimorada e consistência de personagens incomparável.
Experimente
Principais recursos
Geração de Narrativa Multi-Shot
A maioria dos modelos de vídeo de código aberto gera um único clipe contínuo, muitas vezes sem estrutura ou consistência. O WAN 2.6 introduz um grande avanço com sua capacidade de gerar narrativas multi-shot diretamente de prompts simples.
Prompt
The scene unfolds in first-person POV inside a bright, refined modern kitchen. Natural daylight pours across walnut flooring and matte gray cabinetry, giving the space a calm and polished atmosphere. The viewer takes three to four slow, steady steps forward while holding an empty celadon-green porcelain bowl with both black-gloved hands. Ahead stands a built-in double-door refrigerator. The left door features a softly glowing dispenser slot, with faint vapor curling from its edges. When the viewer reaches the refrigerator and lifts the bowl beneath the outlet, a gentle mechanical hum begins. From the small dispenser opening, the plating sequence unfolds with precise, almost ritualistic elegance. First, a smooth stream of deep orange lobster bisque flows into the bowl, circling and rippling as it settles. Moments later, tender pieces of lobster claw and tail meat descend into the center, their pink-red surfaces glistening in the hot broth. A thin ribbon of cream follows, tracing a delicate spiral across the bisque. Finally, micro herbs and tiny gold flakes drift down, completing the dish with a soft visual flourish. The celadon glaze of the bowl reflects the bright natural light, while the warm tones of the bisque shimmer gently on the surface. Subtle sounds fill the space: soft footsteps on the wooden floor, the quiet friction of gloves against the bowl, the rising hum of the refrigerator, the thick pour of bisque hitting the ceramic, the gentle plop of lobster pieces, the light drizzle of cream, and the faint sprinkle of herbs and flakes. Altogether, the moment blends mechanical precision with the warmth and intimacy of fine dining, presented through the calm rhythm of first-person ASMR realism.
Final outcome
Geração de Vídeo Baseada em Referência
O WAN 2.6 suporta geração com referência de vídeo, permitindo que os usuários guiem o modelo com um vídeo de entrada.
Prompt
character1 is eating dinner with character2 in a restaurant
Final outcome
Geração de Vídeo Longo de 15 Segundos
Muitos modelos de código aberto estão limitados a produzir vídeos muito curtos, tipicamente apenas 2–5 segundos, restringindo a profundidade narrativa. O WAN 2.6 quebra essa barreira ao suportar vídeos de até 15 segundos de duração.
Prompt
Generate an approximately 15-second cohesive narrative video. Story: A medieval knight awakens on a storm-swept meadow after a fierce battle. First 5 seconds: A slow circling shot reveals his mud-covered armor, scattered debris, and lingering flashes of lightning in the dark sky. Middle 5 seconds: The knight rises, grasping a sword embedded in the ground. The camera pulls upward from a low angle, emphasizing the determination in his eyes. Final 5 seconds: He begins running toward a distant ruined castle wall as the camera follows in a handheld-style tracking motion, tall grass brushing past the lens to create dynamic depth of field. Maintain scene continuity, natural body motion, and cinematic epic atmosphere throughout.
Final outcome
