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Duix - Silicon-Based Digital Human SDK 🌐🤖

📖 Documentation [android]  [ios]    💬 WeChat (微信)    😄 Discord     📑 FAQ

Introduction

DUIX, short for “Dialogue User Interface System”, is an AI-powered digital human interaction platform created by Silicon-based Intelligence. By open-sourcing the capabilities of digital human interaction, developers can easily integrate large-scale models, automatic speech recognition (ASR), and text-to-speech (TTS) capabilities, enabling real-time interaction with digital humans. It supports one-click deployment on multiple platforms including Android and iOS, allowing each developer to effortlessly create intelligent and personalized digital human agents, and apply them in various industries.

Applicable Scenarios

  • Low deployment cost: No need for customers to provide technical teams for cooperation, supports low-cost rapid deployment on various terminals and large screens.
  • Low network dependence: Suitable for virtual assistant self-service in scenarios such as subways, banks, and government affairs.
  • Diverse functions: Can meet the diverse needs of video, media, customer service, finance, radio, and television in multiple industries according to customer requirements.

Core Functions

  • Provides customized AI anchors and intelligent customer service for multi-scene image rental.
  • Exclusive image customization: Supports the customization of exclusive virtual assistant images, with options for low-cost or deep image generation.
  • Broadcast content customization: Supports the customization of exclusive broadcast content, applied in training, broadcasting, and other scenarios.
  • Real-time interactive Q&A: Supports real-time dialogue, can also customize exclusive Q&A databases to meet consulting inquiries, voice chat, virtual companionship, and vertical scene customer service Q&A.

Source Code Directory Description

duix-android: android demo       
duix-ios: ios demo 

Open Documentation Entry

For android, refer to README_en.md

For ios, refer to GJLocalDigitalSDK_en.md

Download Digital Human Local Model

We offer a selection of digital human models for download and use. We will update the local model packages from time to time so that you can download and utilize the latest models. Below is the list of currently available local model packages:

male

Eric
Download
Zi Xuan
Download
Ming Xuan
Download

female

Sophie
Download
Mu Rong Xiao
Download
Cold Flame
Download
Amelia
Download
Zhao Ya
Download
Yi Yao
Download
Xin Yan
Download
Xiao Xuan
Download
Si Yao
Download
Shi Ya
Download
Dear Sister
Download

Please download the model files according to your needs. We recommend that you carefully read the accompanying documentation after downloading to ensure the correct installation and use of the models.

Business case presentation

https://apps.apple.com/us/app/duix-your-ai-companion/id6451088879 image

Frequently Asked Questions

1. Can digital human customization be supported? Is it based on photos or videos?

Answer: Digital human customization is supported, and it is based on videos. You can customize a unique digital human for use in the SDK. However, customized digital humans are a paid service; you can contact the customer service email for more information.

2. How to customize the image?

Answer: To customize a silicon-based digital human, you need to shoot a 3-5 minute real-life video with the person speaking on camera. The specific poses and content of the speech can be determined based on the actual usage scenarios. For example, if it is used to produce legal consultation videos, you can choose to appear in formal attire and speak about legal topics, creating a consistent overall situation.

3. How is the customized image priced?

Answer: We offer digital human customization配套 with the SDK open-source interface, priced at 9800 yuan/set, including image + voice. For more customization needs, please contact the customer service email.

4. How to update the digital human image?

Answer: Currently, the open-source version mainly provides public models, and customization is available if needed

5. Is there an API interface for image cloning?

Answer: The training service currently only supports deployment on our internal servers for calls

6. Does the broadcast wav file support streaming data?

Answer: The streaming driver is currently under改造 optimization and is not yet supported;

7. Are there any callback methods for the start and end of the broadcast?

Answer: The callback methods for the start and end of the broadcast can be found in the SDK documentation

8. Is there an API to control the actions of the digital human?

Answer: The digital human action API is not yet supported

9. How to replace the downloaded files?

Answer: Instructions for replacing downloaded files can be found in the code

Version Record

  • 3.0.4: Fixed an issue where some devices’ default gl float low precision caused the avatar to not display properly.
  • 3.0.3: Optimized local rendering

Acknowledgments

  • We have drawn on wenet for audio features.

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