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Convert a portrait into a talking video
DaGAN

DaGAN

Create a talking head video from an image and video

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What is DaGAN ?

DaGAN is an AI-powered tool designed to convert a portrait into a talking video. By leveraging advanced generative adversarial networks (GANs), DaGAN enables users to create a realistic talking head video from a single image and a reference video. This technology allows for seamless animation of static portraits, making them appear as if they are speaking in sync with the provided audio or video input.

Features

  • Talking Head Creation: Transform a static portrait into a realistic talking video.
  • Universal Compatibility: Works with any face, regardless of the image quality or pose.
  • Realistic Animations: Generates smooth and natural facial movements.
  • Audio Synchronization: Automatically aligns lip movements with the audio from the reference video.
  • High-Quality Output: Produces crisp and detailed video results.

How to use DaGAN ?

  1. Upload Your Portrait: Input the image of the face you want to animate.
  2. Provide a Reference Video: Upload a video with the desired audio and facial movements.
  3. Customize Settings: Adjust any additional parameters (e.g., expression, speed) if available.
  4. Generate the Video: Run the DaGAN process to create the talking head video.
  5. Review and Export: Preview the result and download the final video.

Frequently Asked Questions

What formats does DaGAN support for input images?
DaGAN typically supports standard image formats such as JPEG, PNG, and BMP. Ensure your image is clear and well-lit for the best results.

Can I customize the facial expressions or audio?
Yes, DaGAN allows you to customize facial expressions by adjusting parameters during the setup process. For audio, you can use the provided reference video or replace it with your own audio file for synchronization.

How long does it take to generate a video?
Processing time depends on the resolution and length of the video. On average, it takes a few minutes for standard resolutions, but this may vary based on the complexity of the input and system resources.

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