I spent hours testing video-generation tools
Only one delivered cinematic motion. Others, not even close.
I tried the same prompt across all tools.
Here’s the surprising comparison:
1. Show lions, elephants, and zebras running free in the wild during daylight and use close shots.
In past tests, most models struggled when the camera moved.
But @Alibaba_Wan 2.2 worked perfectly.
It beat models like Kling 2.1, Hailuo 02, and Sora.
The subject stayed centered, spins were smooth, and there were no glitches.
Check it out at — http://wan.video
Key Points of WAN 2.2:
- Open-source, often better than closed-source models.
- Provides cinematic control for better visuals.
- Delivers smooth, high-quality motion.
@Alibaba_Wan young man playing guitar in a busy city at night, with glowing streetlights and stray cats.
WAN 2.2 handled the lighting and movement perfectly, while others couldn't keep up. https://t.co/QN4gaVFe7J
@Alibaba_Wan Group of elephants playing in a river, splashing water, surrounded by green nature, sunny day, wildlife scene.
WAN 2.2 captured the motion of the elephants and water smoothly. The others failed to make it look natural. https://t.co/2Th2htw3Ey
@Alibaba_Wan POV camera with top light above a Formula 1 driver during a high-speed race at dawn, weaving across the track, overtaking cars with smooth lane changes.
WAN 2.2 kept up with the speed and smooth lane changes while Kling 2.1, Sora, Hailuo couldn’t handle the fast action. https://t.co/jHSCeXieTW
@Alibaba_Wan A group of friends in a black Jeep driving fast along a coastal road at sunset
WAN 2.2 kept the motion and lighting smooth, unlike the other models which had glitches https://t.co/ogf1nT9kog
@Alibaba_Wan In summary, WAN 2.2 outperformed these models in every lighting test, delivering smoother motion, better subject alignment, and a more cinematic feel overall.
Create smooth, cinematic videos from text with WAN 2.2.
Try it now: https://t.co/QoH9NPdlws
#wan #Kling #Hailuo #AIvideo
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