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Audio Based Lip Synchronization

Synchronize audio with video lip movements for natural and accurate results.

Avg Run Time: 287.000s

Model Slug: video-retalking

Category: Video to Video

Input

Enter an URL or choose a file from your computer.

Enter an URL or choose a file from your computer.

Output

Example Result

Preview and download your result.

The total cost depends on how long the model runs. It costs $0.001073 per second. Based on an average runtime of 287 seconds, each run costs about $0.3078. With a $1 budget, you can run the model around 3 times.

Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview

Video Retalking is an advanced AI model designed to enable realistic lip-syncing and facial animation in videos. By leveraging cutting-edge neural rendering techniques, the model adjusts lip movements to match new audio inputs seamlessly. This makes it a powerful too model for video localization, content creation, and enhancing virtual communication. Additionally, the model supports high-quality facial animation, making it ideal for media and entertainment industrie.

Technical Specifications

  • Architecture: Combines Generative Adversarial Networks (GANs) with motion estimation algorithms to produce lifelike facial animations.
  • Training Dataset: Trained on extensive datasets of diverse facial expressions, speech patterns, and environments to enhance adaptability.

Key Considerations

  • Facial Occlusions: Performance may degrade if the subject’s face is partially covered or obscured.
  • Audio-Video Sync: Ensure that the audio input is properly aligned with the video timeline for accurate results.

Tips & Tricks

  • Input Requirements: Use high-resolution videos or images for best results. Ensure the subject’s face is clearly visible without obstructions.
  • Audio Quality: Provide clear and noise-free audio to achieve precise lip synchronization.
  • Lighting Consistency: Ensure uniform lighting in the input video to minimize artifacts in the output.

Capabilities

  • Realistic Lip-Sync: Modifies lip movements in videos to align with new audio inputs with high precision.
  • Facial Animation: Animates static images or enhances facial expressions in videos.
  • High-Resolution Outputs: Generates professional-quality videos suitable for media production.

What Can I Use It For?

  • Video Localization: Adapt videos to different languages by syncing new audio tracks.
  • Content Creation: Enhance video content for social media, advertising, and storytelling.
  • Educational Tools: Bring static portraits or historical figures to life for interactive learning experiences.

Things to Be Aware Of

  • Creative Narratives: Use the model to animate portraits or videos for storytelling projects.
  • Audio Experiments: Test the model with different audio inputs, including dialogues, music, or sound effects.

Limitations

  • Background Artifacts: Complex or dynamic backgrounds may introduce minor artifacts in the output.
  • Expression Variability: The model may struggle with exaggerated or highly dynamic facial expressions.
  • Lighting Issues: Inconsistent lighting in the input video can affect the quality of the output.
  • Output Format: MP4

Pricing Detail

This model runs at a cost of $0.001073 per second.

The average execution time is 287 seconds, but this may vary depending on your input data.

The average cost per run is $0.307808

Pricing Type: Execution Time

Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.