Audio Conditioned LipSync with Latent Diffusion Models
Generate realistic talking heads from image+audio
Interact with video using OpenAI's Vision API
https://huggingface.co/papers/2501.03006
HQ human motion video gen with pose-guided control
input text, extracting key themes, emotions, entities,
Create GIFs with FLUX, no GPU required
Generate and animate images with Waifu GAN
Generate animated faces from still images and videos
Generate videos from images or other videos
Apply the motion of a video on a portrait
Generate animated videos from text prompts
Easily remove your videos background!
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.