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Kling Video O1 Video-to-Video Reference
Its Video-to-Video Reference mode enables creators to generate new, coherent video clips that preserve motion dynamics, cinematic language, and visual identity from source footage.
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                                        const main = async () => {
  const response = await fetch('https://api.ai.cc/v2/video/generations', {
    method: 'POST',
    headers: {
      Authorization: 'Bearer ',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      model: 'klingai/video-o1-video-to-video-reference',
      prompt: 'A powerful, matte black jeep, its robust frame contrasting with the lush green surroundings, navigates a winding jungle road, kicking up small clouds of dust and loose earth from its tires.',
      video_url: 'https://storage.googleapis.com/falserverless/example_inputs/krea_wan_14b_v2v_input.mp4'
    }),
  }).then((res) => res.json());

  console.log('Generation:', response);
};

main()

                                
                                        import requests


def main():
    url = "https://api.ai.cc/v2/video/generations"
    payload = {
        "model": "klingai/video-o1-video-to-video-reference",
        "prompt": "A powerful, matte black jeep, its robust frame contrasting with the lush green surroundings, navigates a winding jungle road, kicking up small clouds of dust and loose earth from its tires.",
        "video_url": "https://storage.googleapis.com/falserverless/example_inputs/krea_wan_14b_v2v_input.mp4"
    }
    headers = {"Authorization": "Bearer ", "Content-Type": "application/json"}

    response = requests.post(url, json=payload, headers=headers)
    print("Generation:", response.json())


if __name__ == "__main__":
    main()
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Kling Video O1 Video-to-Video Reference

Product Detail

🚀 Kling Video O1: Next-Generation Video-to-Video Transformation

Introducing Kling Video O1, a cutting-edge AI solution designed to revolutionize video editing and generation. This powerful, unified multimodal model from Kling AI takes your input reference videos and transforms them into entirely new cinematic sequences. It meticulously preserves original motion dynamics, camera movements, and visual styles, ensuring unmatched continuity and fluidity for professional applications.

✨ Key Features & Capabilities

  • Seamless Cinematic Language: Generates new shots while intelligently maintaining the inherent cinematic language, including precise motion trajectories and camera paths, critical for fluid scene transitions.
  • Multi-Element Reference Support: Combines a reference video with up to 4 element images (for characters or objects from different angles), ensuring consistent character and object fidelity across complex, multi-faceted scenes.
  • Intelligent Chain of Thought Reasoning: Employs advanced Chain of Thought reasoning to analyze prompts before generation, significantly enhancing accuracy in transformations and stylizations.
  • Advanced Camera Control & Motion Preservation: Offers sophisticated control over camera movements and robust motion preservation, making it ideal for high-end post-production and visual effects workflows.

⚙️ Technical Specifications

  • Architecture: Kling O1 Omni, a unified multimodal video foundation model.
  • Input Formats: Reference video; up to 4 element images for characters/objects; optional style images.
  • Output Formats: MP4 video; resolutions from 720p (HD) to 2160p (4K).
  • Aspect Ratios: Auto-detect (default), 16:9, 9:16, or 1:1.

📈 Unrivaled Performance Benchmarks

Kling Video O1 consistently leads in reference-based video generation tasks. It achieves an astounding 247% better results than Google Veo 3.1 in image-to-video generation from multiple references. Furthermore, evaluators overwhelmingly prefer Kling O1 over Runway Aleph for video transformations, citing its superior motion smoothness and unparalleled element fidelity.

⚔️ Kling O1 Against the Competition

  • Vs. Google Veo 3.1: Kling O1 handles multi-image references with 247% greater effectiveness, delivering stable multi-character scenes free from frame inconsistencies, a challenge where Veo 3.1 often struggles.
  • Vs. Runway Aleph: Demonstrates superior video-to-video transformations. Evaluators consistently favor O1 for its natural motion preservation and precision in editing, contrasting sharply with Aleph's less consistent outputs.
  • Vs. Runway Gen-4.5: Kling O1's unified architecture supports a broader range of reference inputs (video + images) crucial for achieving cinematic continuity, significantly surpassing Gen-4.5 in professional-grade camera control.

💰 Kling O1 API Pricing

Highly competitive at just $0.1764 per second of generated video.

💻 Code Sample

❓ Frequently Asked Questions (FAQ)

What is Kling Video O1 and its core capability?

Kling Video O1 is a unified multimodal AI model focused on Reference Video-to-Video transformation, enabling the generation of new cinematic sequences while preserving original motion, camera work, and style.

How does Kling O1 handle multiple input elements?

It supports combining a reference video with up to four additional element images for consistent character and object integration across complex scenes.

What are the available output resolutions for videos?

Kling Video O1 generates MP4 videos with resolutions ranging from 720p (HD) up to 2160p (4K).

How does Kling O1 compare to Google Veo 3.1 in performance?

Kling Video O1 delivers 247% better results than Google Veo 3.1 in multi-reference image-to-video generation, particularly noted for stability in multi-character scenes.

What is the cost of using the Kling O1 API?

The API is priced at $0.1764 per second of generated video output.

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