Skip to main content

Audio2Face 3D NIM gRPC protoypes and services.

Project description

Audio2Face 3D

NVIDIA Audio2Face-3D NIM (A2F-3D NIM) is delivering generative AI avatar animation solutions based on audio and emotion inputs.

Audio2Face-3D NIM is a component of NVIDIA NIM™ and NVIDIA AI Enterprise. NVIDIA NIM™ offers containers for self-hosting GPU-accelerated inferencing microservices, enabling deployment of pretrained and customized AI models across clouds, data centers, and workstations.

The Audio2Face-3D NIM converts speech into facial animation in the form of ARKit Blendshapes. The facial animation includes emotional expression. Where emotions can be detected, the facial animation system captures key poses and shapes to replicate character facial performance by automatically detecting emotions in the input audio. Additionally emotions can be directly specified as part of the input to the A2F-3D NIM. A rendering engine can consume Blendshape topology to display a 3D avatar’s performance.

This Audio2Face-3D NIM supports multiple input streams simultaneously, enabling workflows that allow many users to connect and generate animation output at the same time.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nvidia_audio2face_3d-1.3.0-py3-none-any.whl (13.7 kB view details)

Uploaded Python 3

File details

Details for the file nvidia_audio2face_3d-1.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for nvidia_audio2face_3d-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ebf3afc0e50adc8d1ae958fe77c63d3d0bce9428fb9757fe863edbbb6d504fc7
MD5 7ba6c04240678acfb28ea48d9d9dd0d5
BLAKE2b-256 bc8005bf80c35efea5f90614ab67c07f1e7c1f28b4fb138d85493e4bfa416d83

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page