Kling: how to use a neural network for video

Kling is one of the strongest and at the same time genuinely accessible video models. While Sora stays "behind glass", Kling has become for many a practical way to get a cinematic clip without a hard-to-reach subscription. It's especially good at animating photos and at movement through a scene. And if you want one tool without a separate subscription, you can generate video right in the Twelver chat.

What makes Kling stand out

• Strong image-to-video. One of the best models to animate a photo: the movement is natural, the face holds.
• Good physics and camera. It handles dolly-ins, orbits and dynamics in the frame convincingly.
• Accessibility. Unlike Sora and Runway, Kling is easier to reach — often a decisive factor.

Its weak spots are the same as everyone's: long coherent plots, perfect hands, text in the frame.

How to use it: the basics

1. Upload a photo (to animate) or start from a text description.
2. A prompt is taken better in English, but Kling understands simple requests well too; other languages are easy to translate.
3. The same layers of a video prompt: scene → one movement → camera → light → style.
4. Choose a duration and, if needed, extend the clip with another generation from the last frame.

Upload a photo or describe a scene — get a Kling-level result right in the chat, without a separate sign-up at the service. Video costs more than pictures: a clip is available after signing up and onboarding — which grant starter tokens.

Who it's for

Kling is a great starting point for most: those who need a strong result without access barriers, who animate photos or shoot short scenes from text. If you hit the ceiling on coherence — then it makes sense to look toward Sora and handle the access.

What's next

Kling is strong at movement from a frame. Next — two models that bet on control and speed: Runway and Pika.

In the Twelver chat strong video models are available in one conversation without separate accounts. Starter tokens for video are granted after signing up and onboarding.