Wan 2.5 AI – Native Audio & Cinematic Control
Wan 2.5 adds built-in audio generation, 10-second clip support, sharper motion coherence, and richer camera moves so you can prototype immersive stories from either text prompts or still images.
Image to Video
Text to Video
Why Choose Wan 2.5?
Native Audio & Sync
Generate speech, soundtrack, or ambience in the same forward pass—or upload custom audio and keep timing locked across the full shot.
Longer, Sharper Shots
Render clips up to ~10 seconds with improved temporal consistency, 1080p defaults, and experimental 4K options from select providers.
Production-Ready Control
Dial in dolly moves, multi-shot prompts, and nuanced character motion with stronger T2V + I2V fidelity and better camera rig awareness.
Ship storyboard tests complete with sound
——— Film & Media Teams
Convert product stills into voiced 1080p demos
——— Product Marketing
Prototype social clips with dynamic camera work
——— Film & Media Teams
Comparison with Other AI Video Generators
| Model (Creator) | Max Duration | Max Resolution | Native Audio | Lip-Sync | Key Features | Target Use Case | Pricing Tier |
|---|---|---|---|---|---|---|---|
 Veo 3 (Google) | 8 sec | 1080p | Cinematic presets, multi-prompting | End-to-end creator tool, social media, ecosystem integration | High | ||
 Kling 2.1 Master (Kuaishou) | 5–10 sec | 1080p | Advanced 3D spatiotemporal attention, high-fidelity physics | Professional VFX, cinematic shorts, advanced narrative projects | Medium | ||
 Hailuo 02 (MiniMax) | 5–10 sec | 1080p | Director Control Toolkit (camera prompting), physics simulation | High-action scenes, cinematic pre-visualization, art films | Low | ||
 Seedance 1.0 Pro (ByteDance) | 5–10 sec | 1080p | Native multi-shot narrative generation, temporal consistency | Multi-shot storytelling, marketing content, e-commerce ads | Medium | ||
 Wan 2.5 (Alibaba) | 5–10 sec | 1080p | Video-to-video (V2V) refinement, advanced motion control | End-to-end creator tool, social media content | Low | ||
 Sora 2 (OpenAI) | 4–12 sec | 1080p | "Cameo" user likeness insertion, social remixing features | Social media creator platform, viral UGC, consumer app | Medium |
How to Use Our Image to Video Tool?
Bring Images to Life in 5 Seconds – Transform Stills into Motion with AI
Step 1
Select the model you'd like to use.
Step 2
Upload Your Image and input your prompt.
Step 3
Click “Generate” – rendering takes 1-5 minutes.
Choose Your Plan
Turn ideas into cinematic AI videos in seconds—upgrade or cancel anytime.
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Frequently Asked Questions
What is Wan 2.5 and what changed from earlier versions?
Wan 2.5 is the newest Tongyi Lab video model. It keeps the Wan family’s text-to-video and image-to-video pipelines but now integrates native audio, tighter motion coherence, longer clip lengths, and broader aspect ratio support.
Which creation modes does Wan 2.5 support?
You can generate from text prompts, animate reference images, or combine both. Audio can be generated automatically or conditioned on an uploaded voice track or soundtrack.
How long and how sharp can Wan 2.5 outputs be?
Preview builds commonly deliver 6–10 second clips at 1080p. Some providers are piloting 4K, but availability depends on their hardware capacity and pricing tiers.
Is Wan 2.5 stronger for text-to-video or image-to-video?
Early testers report the biggest quality jump in image-to-video, while text-to-video is improving but still benefits from layered prompts and manual review for complex scenes.
What compute or cost considerations should I plan for?
Expect higher VRAM usage and per-clip costs than Wan 2.2—especially when targeting 1080p+ or 10-second renders. Benchmark different resolutions before committing to production workloads.
Where can I try Wan 2.5 today?
fal.ai offers day-zero previews, Replicate exposes API endpoints for rapid testing, and community tools like ComfyUI already ship Wan 2.5 nodes.
How should teams evaluate Wan 2.5 for production?
Start with image-to-video pilots, test audio sync and custom voice conditioning, capture compute metrics per configuration, and compare latency, cost, and feature parity across vendors before scaling.