semvec/pypi-packages huggingface dataset:
nvidia-ace 1.0.0
Shared protobuf types for NVIDIA ACE animation system.
Requires Python: >=3.8

# Animation Data Format

Animation data is the data format that is used to send avatar pose or animation data 
across animation related microservices. It is currently used to send animation data 
from an animation source (e.g. Audio2Face microservice) to an animation compositor 
(e.g. Animation Graph microservice) and from there to a renderer (e.g. the Omniverse 
Renderer microservice). The format can hold a single avatar pose frame with the 
corresponding audio or an entire animation sequence with corresponding audio. 

In the future this format might get extended to support camera poses, etc.


See more on the [documentation](https://docs.nvidia.com/ace/animation-data-format/1.0/index.html)
nvidia-audio2face-3d 1.3.0
Audio2Face 3D NIM gRPC protoypes and services.
Requires Python: >=3.8

# 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.
nvidia-audio2face-3d-authoring 0.2.0
Audio2Face 3D Authoring MS gRPC protoypes and services.
Requires Python: >=3.8

# Audio2Face 3D Authoring

NVIDIA Audio2Face-3D Authoring is a component of NVIDIA ACE,
delivering real-time face and emotion parameters tweaking using generative AI.
The Audio2Face-3D Authoring microservice is complementary to Audio2Face-3D Microservice.
This solution allows you to determine an optimal set of parameters for Audio2Face-3D 
Microservice.
This microservice supports multiple client simultaneously, enabling workflows that 
allow many users to connect and generate animation frames at the same time.