KuaishouKuaishou·🎬 Video Generation·↑ Newer: Kling 2.6 Pro

Kling V3 Pro

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Quick reference
Kling V3 Pro — TLDR
  • 🎬 Image-to-video generation from Kuaishou's Kling line
  • 🎯 Pro tier — cinematic quality output
  • 🎨 Strong human motion and editorial scenes
  • 🏢 Built by Chinese tech firm Kuaishou
  • 🖼️ Animates still images into video clips
💰 Pricing
$0.370 – $2.77
per generation
📅 On Venice since
Feb 3, 2026
166 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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25 models on Venice
25 video
Since Dec 3, 2024

About this model

Kling V3 Pro is the image-to-video model in Kuaishou's V3 generation, animating a still input frame into cinematic, motion-rich clips with a focus on convincing human movement and editorial-style scenes. Released in February 2026, it sits in the Pro tier of the Kling lineup — above the lighter Kling V3 Standard and alongside its text-driven counterpart Kling V3 Pro for prompt-only generation.

Within Kuaishou's broader catalogue, the V3 family spans several modes and quality levels, including the higher-resolution Kling V3 4K, the speed-focused Kling V3 Turbo Pro released later in June 2026, and the parallel O3 series such as Kling O3 Pro. As the latest Pro-tier image-to-video model in its line, it succeeds earlier releases like Kling 2.6 Pro while remaining a deliberate pick for users prioritizing fidelity over turnaround.

Kling V3 Pro is best suited to creators starting from a reference image who want polished, lifelike motion — character animation, product or fashion shots, and short narrative or editorial sequences where natural human movement and cinematic framing matter most.

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 4d ago