DICE-Talk

DICE-Talk is an advanced emotional conversation portrait generation technology that can generate vivid and diverse emotional expressions. This technology uses diffusion models to decouple identity and emotion, providing outputs of realism and diversity. Its importance lies in bringing higher interactivity and expressiveness to areas such as virtual characters, animation, games and social media, suitable for research and development needs.

Demand population:

" DICE-Talk is suitable for target audiences such as animators, game developers, researchers and social media content creators because it can provide a vivid virtual image interaction experience that enhances the appeal and authenticity of the work."

Example of usage scenarios:

Use DICE-Talk to generate vivid expressions and conversations for characters in video games.

Use DICE-Talk to create animated short films to enhance the character's expressiveness and emotional communication.

Social media content creators use DICE-Talk to produce compelling virtual anchor content.

Product Features:

Generate a diverse emotional conversation portrait

Support neutral, happy, angry, and surprised emotions

Provides easy-to-use demonstration and graphical user interface

Supports multiple input formats, including pictures and audio

Accelerate the generation process using high-performance GPU

Compatible with multiple operating systems

Provide open source code for further research and development

Allows users to set the intensity of identity retention and emotion generation

Tutorials for use:

Make sure to install the required software and libraries, including ffmpeg and PyTorch.

Download the model file to the specified directory through huggingface-cli.

Use the demo.py script to provide input image and audio file paths.

Select the sentiment type to generate and set parameters.

Run the script to generate emotional conversation portrait videos.