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Tencent Stand-In: Local AI Video Generation with Identity Preservation


This content originally appeared on DEV Community and was authored by Local FaceSwap

Tencent Stand-In: Local AI Video Generation with Identity Preservation

Tencent has recently open-sourced Stand-In, a lightweight and plug-and-play framework for identity-preserving video generation. This powerful tool enables users to create videos with face swapping, pose control, and style transfer while maintaining facial characteristics perfectly.

Core Features

Stand-In stands out with its comprehensive video generation capabilities that go far beyond simple face replacement:

Identity-Preserving Technology: The framework maintains facial features with remarkable precision, ensuring generated videos retain the original person’s identity while adapting to new scenarios.

Multi-Subject Support: Unlike traditional tools, Stand-In works with non-human subjects including cartoon characters, animals, and fantasy creatures. You can place your face on virtually any character type.

Advanced Pose Control: Users can adjust parameters to control appearance, movements, and backgrounds with fine-grained precision. Whether you want to create dance videos, sports footage, or action sequences, the tool provides complete creative control.

Video Stylization: Apply different artistic styles and effects to transform your videos into various visual aesthetics.

Local Package Benefits

The above AI tools have been packaged into a local one-click installation package. You just need to click to use it on your personal computer, eliminating privacy concerns and complex environment setup issues.

This local deployment approach ensures your data remains completely private while providing the full power of Stand-In’s video generation capabilities without relying on cloud services.

Setup & Usage

Getting started with Stand-In is remarkably straightforward:

Step 1: Download and extract the compressed package, then double-click the startup command to launch the application.

Step 2: Upload your portrait image, describe the desired video effects, configure parameters, and click run to generate results.

System Requirements

Stand-In requires specific hardware configurations for optimal performance:

  • Operating System: Windows 10/11 64-bit
  • Graphics Card: NVIDIA 30, 40, or 50 series with 12GB+ VRAM
  • CUDA Version: 12.4 or higher

These requirements ensure smooth operation and high-quality output generation.

Technical Advantages

Stand-In’s lightweight architecture adds only about 1% additional training parameters to base video generation models while delivering exceptional results. The framework’s plug-and-play design makes it seamlessly integrate with other AIGC tools, enhancing versatility and extensibility.

The open-source nature of Stand-In allows developers and researchers to customize and extend the framework according to their specific needs, fostering innovation in the video generation community.

Get Started Locally

The integrated package provides immediate access to Stand-In’s full capabilities on your personal computer, ensuring complete privacy and eliminating complex environment configuration challenges.

Additional Resources


This content originally appeared on DEV Community and was authored by Local FaceSwap