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Runway Act 2 Video to Video: AI Video Editor

Take an existing character video and sync it with the motion from a reference video. This lets you update facial expressions, head turns, and speech gestures while keeping the original look and style. It’s perfect for reshooting performances, dubbing, or animating characters without re-rendering visuals.

Interactive model controls

Take an existing character video and sync it with the motion from a reference video. This lets you update facial expressions, head turns, and speech gestures while keeping the original look and style. It’s perfect for reshooting performances, dubbing, or animating characters without re-rendering visuals.

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Overview

About this model

The runway-act-two-v2v model lets you transform an existing character video by seamlessly syncing it with the motion from a reference video. This capability means that facial expressions, head turns, and speech gestures can be updated effortlessly while preserving the original look and style. Leveraging advanced video-to-video synthesis technology, the model allows for efficient performance reshoots, dubbing, and character animations without the need for re-rendering visuals.

Under the hood, this model processes two key inputs—a static character video and a dynamic reference video—to generate output that captures nuances in movement and performance. Its optimized algorithm ensures consistency in style while accurately translating the actions and emotions from the reference video. This makes it exceptionally suited for filmmakers, animators, and digital content creators looking to deliver high-quality, engaging video content at a cost-effective rate.

1Reshooting performances in film and television without full re-rendering
2Dubbing or modifying speech gestures and facial expressions in animated characters
3Creating personalized video messages with updated expressions and movements
4Animating digital avatars for social media and marketing campaigns
5Enhancing dubbing quality by synchronizing performances with the original character environment
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Pricing & Value

Cost analysis

muapiapp$0.3 per generation

muapiapp offers this service at a cost that is 20-50% more affordable than competitors, without compromising on quality.

Fal.ai$0.45 per generation

Priced slightly higher, Fal.ai provides a similar quality of video transformation. However, muapiapp is 20-50% more cost-effective.

Replicate$0.45 per generation

Replicate offers comparable video transformation capabilities but at a 20-50% higher cost than muapiapp, making muapiapp the superior value choice.

** Competitor pricing is estimated based on similar model architectures and usage tiers.

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Technical Details

Configuration schema

Video URLstring

URL of the input video. An video of your character. In the output, the character will use the reference video performance in its original static environment.

Default Valuehttps://d3adwkbyhxyrtq.cloudfront.net/videos/186/949545949165/ae612a72-578f-4eb2-a33c-9deea0017b28.mp4
Reference Video URLstring

A video URL pointing to a video of a person performing in the manner that you would like your character to perform.

Default Valuehttps://d3adwkbyhxyrtq.cloudfront.net/videos/186/703170005884/a024ec71-10b5-4d41-ab84-2055fb3f14b3.mp4
Aspect RatioEnum (6 options)

Aspect ratio of the output video.

Default Value16:9
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Implementation Guide

Developer documentation

How to Use runway-act-two-v2v

  1. Prepare Your Inputs

    • Ensure you have a high-quality video URL of your character (the input video).
    • Select a reference video URL that contains the performance or gestures you want to apply.
    • Determine the appropriate aspect ratio for your output (default is 16:9, with other options available).

  2. Input Configuration

    • Fill in the video_url field with the URL of your character video.
    • Fill in the reference_video_url field with the URL of the performance video.
    • Set the aspect_ratio if a format other than the default is needed.

  3. Generate the Video

    • Submit the configured input parameters to the runway-act-two-v2v endpoint.
    • Wait for the model to process and generate the new video, which will seamlessly combine the original character environment with the updated performance nuances from the reference video.

  4. Review and Iterate

    • Once the output video is received, review it to ensure that the facial expressions and head turns align perfectly with your intended performance.
    • Make any necessary adjustments by refining your input videos or selecting a different aspect ratio, then repeat the process as needed.
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Common Questions

Frequently asked

What types of videos work best as input?

For best results, use high-quality videos where the character’s facial expressions and gestures are clearly visible. The reference video should closely match the desired performance style.

Can I change the aspect ratio of the output?

Yes, the model supports multiple aspect ratios such as 16:9, 9:16, 1:1, 4:3, 3:4, and 21:9. You can select the relevant aspect ratio according to your project needs.

What are the primary use cases for this model?

This model is ideal for reshooting performances, dubbing characters in animations, and updating video content with new facial and motion expressions without needing to re-render the entire visual environment.

How fast is the generation process?

While processing times may vary based on video length and complexity, our streamlined system is designed to deliver results quickly, ensuring a smooth user experience.