KuaishouKuaishou·🎬 Video Generation

Kling O3 Standard R2V

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Quick reference
Kling O3 Standard R2V — TLDR
  • 🎬 Reference-to-video generation from Kuaishou's Kling O3 line
  • 🎨 Cinematic quality, strong human motion and editorial scenes
  • 🎯 Standard tier — balances fidelity with faster turnaround
  • 🖼️ Reference-driven: guide output with input imagery
  • 🏢 Built by Kuaishou, the company behind Kwai
💰 Pricing
$0.280 – $1.84
per generation
📅 On Venice since
Mar 10, 2026
85 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 O3 Standard R2V is the reference-to-video member of Kuaishou's Kling O3 line, released in March 2026. It accepts reference imagery to steer generation, producing clips with the cinematic polish and convincing human motion that define the Kling family. The "Standard" designation places it below the Pro and 4K tiers in fidelity and resolution, trading peak output quality for quicker, more economical generation — a sensible default for iterating on concepts before committing to a heavier render.

Within the O3 generation, it sits alongside text-to-video and image-to-video variants like Kling O3 Standard, while Kling O3 Pro R2V and Kling O3 4K R2V offer higher-tier reference-to-video options. Kuaishou's broader catalogue spans the parallel V3 family and Turbo releases, but this model is the current standard-tier R2V incumbent of the O3 line.

It is best suited to creators who want to anchor a generated video to a specific visual reference — matching a character, style, or scene — while keeping generation fast and cost-effective for editorial and human-centric storytelling.

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