Audio Conditioned LipSync with Latent Diffusion Models
Final Year Group Project : Video
Generate lip-synced video from video/image and audio
Audio-based Lip Sync for Talking Head Video Editing
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Interact with video using OpenAI's Vision API
Generate music videos from text descriptions
Convert image to video
Generate a video from a text prompt
Create an animated audio visualizer video from audio and image
Create animated videos using a reference image and motion sequence
text-to-video
Generates a sound effect that matches video shot
LatentSync is an AI-powered tool designed for audio-conditioned lip syncing using advanced latent diffusion models. It enables users to seamlessly synchronize audio with video, ensuring lips move naturally in alignment with the soundtrack. This technology is particularly useful for video generation, animation, and post-production workflows where realistic lip syncing is crucial.
What types of files does LatentSync support?
LatentSync supports common video formats like MP4, AVI, and MOV, as well as audio formats such as WAV, MP3, and AAC.
Can LatentSync handle non-English audio?
Yes, LatentSync is language-agnostic and can work with audio in any language.
Is there a limit to the length of the video or audio?
While there’s no strict limit, extremely long videos may require more processing time. For optimal performance, keep videos under 10 minutes unless you have high-performance hardware.