InfiniteTalk
InfiniteTalk is a free, open-source, self-hosted project for generating talking videos synchronized to audio.
What InfiniteTalk is
InfiniteTalk is a free, open-source, self-hosted project for generating talking videos synchronized to audio. It can dub a source video or animate a single image using audio. For video dubbing, it synchronizes lips, head movements, posture, and facial expressions; the project says it preserves the source identity, background, and camera movement. The maker describes it as a streaming generator for video dubbing of unlimited length, and the repository includes instructions for multi-person animation. Output is supported at 480P and 720P. For image-to-video generation, one image can produce good results for up to one minute, while longer results may show more pronounced color shifts. The repository documents single-GPU and multi-GPU inference, plus a quantized mode limited to one GPU. Community support links cover ComfyUI and Wan2GP. Installation instructions use Python 3.10, PyTorch, xformers, Flash-Attn, and FFmpeg. The model weights use the Apache 2.0 license, and users are responsible for lawful use. The project says content generated using some real-video materials is for academic use only and commercial use is not permitted. The repository provides installation and inference instructions and accepts issues through GitHub.
Good
- Open-source model weights under Apache 2.0
- Supports single-GPU and multi-GPU inference
- Includes instructions for multi-person animation
- Community links for ComfyUI and Wan2GP
Watch out
- Image-to-video results can show color shifts beyond one minute
- Quantized inference supports only one GPU
- Some real-video-based content is limited to academic use
Who it suits
InfiniteTalk may suit researchers and self-hosting users who can work with its listed installation requirements and inference options. It is also relevant to users seeking audio-synchronized dubbing or image animation, subject to the project’s use restrictions.
Verdict
InfiniteTalk offers local inference options for audio-synchronized video generation, with documented limits for image animation and specific restrictions on some generated content. Review the requirements and permitted uses before choosing it.
The facts
Each one read from InfiniteTalk's own pages, with the date it was checked.
What it does
- Full-body dubbing
- The model aligns lip movements, head movements, body posture, and facial expressions with the audio.checked 9 Oct 2026
- Hosted inference
- Hugging Face states that this model is not deployed by an inference provider.checked 9 Oct 2026
- Identity and scene
- The project page says it preserves identity, background, and camera movements from the source video.checked 4 Oct 2026
- Identity and scene preservation
- The project says it preserves identity, background, and camera movements from the source video.checked 9 Oct 2026
- Image-to-video limit
- The repository says image-to-video produces good results from one image for up to one minute, with more pronounced color shifts beyond that.checked 4 Oct 2026
- Inference options
- The repository documents single-GPU and multi-GPU inference, plus a quantized mode that supports only a single GPU.checked 4 Oct 2026
- Integrations
- The repository links community support for ComfyUI and Wan2GP and provides a Gradio interface.checked 9 Oct 2026
- Intended users
- The project page presents InfiniteTalk as a research framework for long-sequence audio-driven human animation and video dubbing.checked 9 Oct 2026
- License
- The model weights are licensed under Apache 2.0, and the repository says users are responsible for lawful use of generated content.checked 9 Oct 2026
- License and use
- The repository says the models are licensed under Apache 2.0 and that users are responsible for lawful use; the project page says generated content using some real-video materials is for academic use only and commercial use is not permitted.checked 4 Oct 2026
- Long sequences
- The maker describes InfiniteTalk as a streaming generator for infinite-length video dubbing.checked 4 Oct 2026
- Multi-person generation
- The repository includes instructions for multi-person animation.checked 9 Oct 2026
- Purpose
- InfiniteTalk generates audio-synchronized talking videos from a source video and audio, or animates a single image using audio.checked 9 Oct 2026
- Requirements
- The installation instructions use Python 3.10, PyTorch, xformers, Flash-Attn, and FFmpeg.checked 9 Oct 2026
- Resolution
- The model supports 480P and 720P output.checked 9 Oct 2026
- Resolutions
- The repository says the model supports 480P and 720P output.checked 4 Oct 2026
- Run options
- The repository documents single-GPU and multi-GPU inference, plus a quantized mode that supports only a single GPU.checked 9 Oct 2026
- Security
- The repository page does not state a security or compliance certification.checked 4 Oct 2026
- Support
- The repository provides installation and inference instructions and accepts issues through GitHub; it does not describe a paid support plan on the page.checked 4 Oct 2026
- Video duration
- The repository describes unlimited-length generation, while noting that image-to-video results beyond one minute can show more color shift.checked 9 Oct 2026
- What it does
- InfiniteTalk generates audio-synchronized talking videos from a source video or a single image.checked 4 Oct 2026
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