NVIDIA
Audio2Face-2D NIM
Container
NVIDIA
Audio2Face-2D NIM

Audio2Face-2D animates a person's portrait photo using a driving audio.

What Is NVIDIA NIM?

NVIDIA NIM™, part of NVIDIA AI Enterprise, is a set of easy-to-use microservices designed for secure, reliable deployment of high-performance AI model inferencing across clouds, data centers and workstations. Supporting a wide range of AI models, including open-source and NVIDIA AI Foundation and custom models, it ensures seamless, scalable AI inferencing, on-premises or in the cloud, leveraging industry standard APIs.

Audio2Face-2D NIM

Audio2Face-2D, also known as Speech Live Portrait, animates a person's portrait photo using a driving audio. It also accepts tuning values to control eye blinks, head movement, and gaze of the portrait animation. This NIM offers two modes: performance and quality.

NVIDIA NIM offers prebuilt containers for AI models across computer vision, audio, LLMs, and more. Each NIM consists of a container and a model and uses a CUDA-accelerated runtime for all NVIDIA GPUs, with special optimizations available for many configurations. Whether on-premises or in the cloud, NIM is the fastest way to achieve accelerated inference at scale.

Getting started with NVIDIA NIM

Deploying and integrating NVIDIA NIM is straightforward thanks to our industry-standard APIs. Visit the Maxine Audio2Face-2D NIM page for release documentation, deployment guides, and more.

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Governing Terms

The NIM container is governed by the NVIDIA AI Enterprise Software License Agreement; and the use of this model is governed by the NVIDIA AI Foundation Models Community License.

You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.

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NVIDIA Developer Community Forum

For support, Visit the NVIDIA Developer Community Forum

End of Support — "This artifact is no longer supported. NVIDIA strongly recommends artifacts that are up to date and supported"

Publisher
NVIDIA
Latest Taglatest
UpdatedFebruary 25, 2025 UTC
Compressed Size22.79 GB
Multinode SupportNo
Multi-Arch SupportNo

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