Audio-driven model that makes unlimited-length talking video from an image or re-dubs an existing video.
Turn an image plus audio into long talking video, or re-dub a clip with matching body motion.
InfiniteTalk is a sparse-frame video dubbing model from MeiGen-AI that generates talking video of unlimited length from an image or an input video. It suits developers and researchers with a strong NVIDIA GPU.
Given audio, it synchronises lips and also head posture, body movement and expressions, in image-to-video or video-to-video mode. The README builds on the Wan2.1 480P base model and offers a Gradio demo, ComfyUI branch and low-VRAM mode.
Suits technical users who want long avatar clips without per-minute fees. It does not suit anyone expecting a studio with voices, templates or a script editor, because it only consumes audio you provide.
Animate one reference image from an audio clip.
Re-dub an input video, syncing head, body and expressions.
The README describes unlimited-length generation.
Set num_persistent_param_in_dit to 0 for very low VRAM.
Run with torchrun across several GPUs.
A Gradio demo and a ComfyUI branch are provided.
Free under Apache-2.0. The README lists no paid or hosted plan, so the only cost is the GPU hardware or rented GPU time you run it on.
767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
These reviewed AI tools do the same job instantly — from our scored directory.
The README says the models are under Apache-2.0 and that you keep rights to your generated content, subject to the licence terms.
The README does not give one number; it documents a very-low-VRAM mode and multi-GPU runs, and community Wan2GP support targets low-VRAM cards.
No. It takes audio you supply and animates the video to match it.
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