infinitetalk

Generate audio-driven talking head videos from images or clips.

5.0k|479|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/anbeime/skill --skill infinitetalk-anbeime
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: infinitetalk
Source: https://github.com/anbeime/skill/tree/main/skills/infinitetalk
Command: npx skills add https://github.com/anbeime/skill --skill infinitetalk-anbeime

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires opencv-python, diffusers, transformers, tokenizers, accelerate, tqdm, imageio, easydict, ftfy, dashscope, imageio-ffmpeg, scikit-image, loguru, gradio, numpy, xfuser, pyloudnorm, optimum-quanto, scenedetect, moviepy, decord, torch, torchvision, torchaudio, einops, soundfile, librosa, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of realistic talking head videos from static images or existing videos, driven by audio input, eliminating the need for manual animation or complex video editing.

Core Features & Use Cases

  • Image-to-Video: Generate talking head videos from a single image and an audio file.
  • Video-to-Video: Re-dub existing videos with new audio, synchronizing lip movements and facial expressions.
  • High Synchronization: Achieves precise lip-sync, head movement, and facial expression alignment with the audio.
  • Infinite Duration: Supports generating videos of unlimited length.
  • Resource Optimization: Offers low-memory usage options like quantization and model offloading for lower-end GPUs.
  • Use Case: Create engaging explainer videos, virtual presenters, or personalized video messages by simply providing an image and an audio script.

Quick Start

Use the infinitetalk skill to generate a video from the image 'input.jpg' and the audio 'audio.wav', saving the output to 'output.mp4'.

Frequently Asked Questions about infinitetalk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a talking head video from a static image and audio?

To generate a talking head video, you provide a static image and an audio file. The system synchronizes lip movements, head poses, and facial expressions to the audio input, outputting a realistic video clip.

Can I use text-to-speech to create audio-driven virtual presenter videos?

Yes, you can use text-to-speech to create audio-driven virtual presenter videos. The system integrates TTS capabilities, allowing you to convert text scripts into audio that directly drives the talking head animation.

Does audio-driven lip sync work for generating long-form videos?

Audio-driven lip sync supports generating long-form videos of infinite duration. It processes extended audio inputs to maintain precise synchronization across single-clip or continuous long-form video generation.

What is the best way to re-dub an existing video with new audio?

The best way to re-dub existing videos is using video-to-video generation. This approach processes existing clips and synchronizes facial expressions and lip movements directly to your newly provided audio track.

Can I run audio-driven animation on a low-VRAM GPU?

You can run audio-driven animation on a low-VRAM GPU by utilizing resource optimization options. The system supports model offloading and quantization to reduce memory usage during video generation.

What is the difference between image-to-video and video-to-video lip sync?

Image-to-video lip sync animates a static image using audio, while video-to-video lip sync re-dubs existing clips by altering lip movements and facial expressions to match new audio input.