Generate multi-shot stories from text, images, or videos, complete with lip sync and native audio up to 15 seconds at 1080p execution. Experience higher adherence and characters consistency seamlessly.
Whether the generated video is a single continuous shot or multiple shots with transitions.
No Videos Generated
Wan 2.6 is Alibaba Cloud's advanced AI video model from Tongyi Lab, released in December 2025 as an open-source powerhouse for multimodal content creation. It transforms text prompts, images, or reference videos into polished 1080p clips up to 15 seconds long, complete with synchronized audio—no editing required.
This model shines in generating narrative-driven videos, supporting text to video with audio, image to video guide workflows, and video-to-video edits.
Key capabilities include role-guided storytelling, where it acts like an intelligent director, interpreting prompts for cinematic camera moves like close-ups or tracking shots.
It maintains character consistency across multi-shots, syncing lip movements with dialogue in multiple languages. With training on 1.5 billion videos, it delivers smooth motion and high visual fidelity.
Explore the advanced capabilities that make Wan 2.6 the ultimate tool for scalable video generation.
Master the Wan 2.6 workflow on Aividoer.
Log into Aividoer and navigate to the Wan 2.6 AI tool.
Enter a detailed text description, e.g., 'A chef preparing Italian pasta in a sunny kitchen, multi-shot with close-up on ingredients.' Add reference images or videos if needed.
Select duration (5-15s), resolution (1080p/720p), multi-shots parameters via prompt, and submit.
Hit 'Generate'—wait minutes for output. Preview the clip. For talking head generation, provide phonetic prompts. Download watermark-free.
How creators are using Wan 2.6 for high ROI.
A brand created a 10s product teaser from text, with synced narration—boosted engagement 40%. Turned product photos into animated demos, improving conversions.
Agency produced lip-synced ads for e-commerce, meeting production briefs efficiently.
Indie filmmaker generated multi-shot trailers using image references, saving production costs. Artists built narrative scenes exploring high character consistency.
Influencer crafted viral shorts with music sync. Teacher made tutorials with consistent characters.
Data from 2026 benchmarks; Wan leads in affordability for multi-shot.
| Model | Core Strengths | Max Duration | Resolution | Audio Sync | Cost Efficiency |
|---|---|---|---|---|---|
| Wan 2.6 | Multi-shot narratives, character consistency | 15s | 1080p | Native, lip sync | High |
| Kling 2.6 | Long-form extensions, physics realism | 3min | 1080p | Strong | Best value |
| Google Veo 3.1 | Cinematic polish, ambient effects | 8s | 1080p | Precise | Moderate |
| Hailuo 2.3 | Motion fidelity, clarity | 6s | 1080p | Basic | Moderate |
| Sora 2 | Overall realism, no drift | Variable | 1080p | Advanced | Higher |