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sadtalker

Maintainer: lucataco

Total Score

12

Last updated 5/15/2024
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Model overview

sadtalker is a model for stylized audio-driven single image talking face animation, developed by researchers from Xi'an Jiaotong University, Tencent AI Lab, and Ant Group. It extends the capabilities of previous work on video-retalking and face-vid2vid by enabling high-quality talking head animation from a single portrait image and an audio input.

Model inputs and outputs

The sadtalker model takes in a single portrait image and an audio file as inputs, and generates a talking head video where the portrait image is animated to match the audio. The model can handle various types of audio and image inputs, including videos, WAV files, and PNG/JPG images.

Inputs

  • Source Image: A single portrait image to be animated
  • Driven Audio: An audio file (.wav or .mp4) that will drive the animation of the portrait image

Outputs

  • Talking Head Video: An MP4 video file containing the animated portrait image synchronized with the input audio

Capabilities

sadtalker can produce highly realistic and stylized talking head animations from a single portrait image and audio input. The model is capable of generating natural-looking facial expressions, lip movements, and head poses that closely match the input audio. It can handle a wide range of audio styles, from natural speech to singing, and can produce animations with different levels of stylization.

What can I use it for?

The sadtalker model can be used for a variety of applications, such as virtual assistants, video dubbing, content creation, and more. For example, you could use it to create animated talking avatars for your virtual assistant, or to dub videos in a different language while maintaining the original actor's facial expressions. The model's ability to generate stylized animations also makes it useful for creating engaging and visually appealing content for social media, advertisements, and creative projects.

Things to try

One interesting aspect of sadtalker is its ability to generate full-body animations from a single portrait image. By using the --still and --preprocess full options, you can create natural-looking full-body videos where the original image is seamlessly integrated into the animation. This can be useful for creating more immersive and engaging video content.

Another feature to explore is the --enhancer gfpgan option, which can be used to improve the quality and realism of the generated videos by applying facial enhancement techniques. This can be particularly useful for improving the appearance of low-quality or noisy source images.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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