KuaishouKuaishou·🎬 Video Generation

Kling 2.6 Pro

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Quick reference
Kling 2.6 Pro — TLDR
  • 🎬 Image-to-video generation from Kuaishou's Kling family
  • 🎨 Cinematic output tuned for human motion
  • 🎯 "Pro" tier for higher-fidelity editorial scenes
  • 🖼️ Animates a still image into motion clips
  • 🏢 Built by Chinese short-video giant Kuaishou
💰 Pricing
$0.390 – $1.54
per generation
📅 On Venice since
Dec 3, 2024
547 days ago
Provider

Kuaishou Technology is a Chinese publicly traded company founded in 2011 by Hua Su and Cheng Yixiao, headquartered in Beijing's Haidian District and listed on the Hong Kong Stock Exchange. Originally known for its massively popular short-video platform —…

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21 models on Venice
21 video
Since Dec 3, 2024

About this model

Kling 2.6 Pro is the image-to-video member of Kuaishou's Kling lineup, turning a single still frame into cinematic, motion-rich clips with a focus on believable human movement and editorial-style scenes. It pairs with Kling 2.6 Pro text-to-video, sharing the same "Pro" quality tier while taking an image rather than a prompt as its starting point.

Within Kuaishou's broad and fast-moving Kling catalogue, the 2.6 Pro generation has since been joined by newer image-to-video releases, most directly Kling V3 Pro (released February 2026), alongside the 4K and O3 lines that pushed resolution and motion control further. Earlier turbo variants like Kling 2.5 Turbo Pro also sit in the same family, giving users a spectrum of speed-versus-quality trade-offs.

Choose Kling 2.6 Pro when you want to animate existing imagery into polished, lifelike footage — product shots, portraits, or storyboard frames brought to life with natural human motion. It is best suited to creators prioritizing cinematic look and faithful subject movement over the cutting-edge resolution of the newer V3 and O3 releases.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 1d ago