KuaishouKuaishou·🎬 Video Generation

Kling O3 Standard R2V

anonymized
Try on Venice.ai ↗
Quick reference
Kling O3 Standard R2V — TLDR
  • 🎬 Reference-to-video generation from Kuaishou's Kling family
  • 🎨 Cinematic quality with strong human motion handling
  • 🎯 Standard tier of the O3 reference-to-video line
  • 🖼️ Drives video from reference imagery and prompts
  • 🏢 Built by Kuaishou, maker of the Kwai app
💰 Pricing
$0.280 – $1.84
per generation
📅 On Venice since
Mar 10, 2026
131 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 —…

Read full profile →
25 models on Venice
25 video
Since Dec 3, 2024

About this model

Kling O3 Standard R2V is the reference-to-video member of Kuaishou's O3 generation, generating short cinematic clips guided by reference imagery rather than text or a single source frame alone. Released in March 2026, it shares the Kling family's signature strengths — convincing human motion, editorial framing, and a polished, film-like look — while sitting at the Standard quality tier, the more efficient counterpart to the heavier Pro and 4K variants.

Within Kuaishou's broad Kling catalogue, this model anchors the standard reference-to-video workflow alongside siblings like Kling O3 Pro R2V and the higher-fidelity Kling O3 4K R2V, with text- and image-driven O3 options such as Kling O3 Standard covering adjacent use cases. The lineup has since expanded to the V3 line, including the newer Kling V3 Turbo Pro, though this remains the current incumbent of its specific reference-to-video tier.

It is best suited to creators who want to steer a generated clip using existing reference visuals — maintaining a consistent subject, style, or composition — while keeping generation efficient. Reach for it for editorial scenes, character-driven motion, and storyboard-to-clip work where reference fidelity matters more than maximum resolution.

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